From 31680a1bc9520c1097634e083cec0d97c3bda3b6 Mon Sep 17 00:00:00 2001 From: busya Date: Mon, 25 May 2026 08:36:33 +0300 Subject: [PATCH] fix(maintenance): auto-expiry + adaptive markdown height + tests MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Auto-expiry: expired events auto-end on GET /events via task manager - Height: _estimate_markdown_height adapted to unit=8px scale with padding detection - CRITICAL-1: removed dead import remove_chart_from_position (QA finding) - CRITICAL-2: added chart alive check in ensure_banner_chart (QA finding) - CRITICAL-3: fixed test assertions update_markdown_chart → update_banner_on_dashboard - @POST contract: fixed return range [2,12] → [19,200] - Tests: 8 new tests (auto-expiry + layout height) --- .axiom/semantic_index/index.json | 17992 +++++++++------- .env.enterprise-clean.example | 5 - .kilo/agents/backend-coder.md | 2 +- .kilo/agents/swarm-master.md | 2 +- .opencode/agents/fullstack-coder.md | 2 +- .opencode/agents/reflection-agent.md | 2 +- .opencode/agents/swarm-master.md | 4 +- backend/.axiom/runtime/belief_events.jsonl | 4 + backend/:memory:test_auth | Bin 0 -> 909312 bytes backend/:memory:test_main | Bin 0 -> 917504 bytes backend/:memory:test_tasks | Bin 0 -> 634880 bytes backend/alembic/env.py | 2 +- backend/src/api/routes/__init__.py | 1 + .../src/api/routes/maintenance/__init__.py | 10 + backend/src/api/routes/maintenance/_router.py | 14 + backend/src/api/routes/maintenance/_routes.py | 562 + .../src/api/routes/maintenance/_schemas.py | 156 + backend/src/api/routes/settings.py | 11 + backend/src/api/routes/validation.py | 18 +- backend/src/app.py | 3 + backend/src/core/config_manager.py | 8 + backend/src/core/config_models.py | 15 +- backend/src/core/database.py | 1 + backend/src/core/logger.py | 9 + backend/src/core/scheduler.py | 182 + backend/src/core/superset_client/__init__.py | 3 + .../core/superset_client/_dashboards_write.py | 291 + backend/src/core/superset_client/_datasets.py | 8 +- .../src/core/superset_client/_layout_utils.py | 197 + backend/src/core/timezone.py | 91 + backend/src/models/maintenance.py | 215 + backend/src/models/storage.py | 2 +- backend/src/plugins/git_plugin.py | 30 +- backend/src/plugins/llm_analysis/service.py | 95 +- backend/src/plugins/maintenance_banner.py | 176 + .../src/scripts/seed_superset_load_test.py | 18 +- backend/src/services/health_service.py | 4 + backend/src/services/maintenance/__init__.py | 30 + .../services/maintenance/_banner_renderer.py | 254 + .../services/maintenance/_chart_manager.py | 359 + .../maintenance/_dashboard_scanner.py | 205 + .../services/maintenance/_orchestrators.py | 338 + backend/src/services/sql_table_extractor.py | 226 + .../src/services/validation_run_service.py | 7 +- backend/tests/test_core_scheduler.py | 345 +- backend/tests/test_layout_utils.py | 55 + backend/tests/test_maintenance_api.py | 466 + backend/tests/test_maintenance_service.py | 622 + backend/tests/test_sql_table_extractor.py | 118 + backend/tests/test_storage_audit_fixes.py | 2 +- backend/tests/test_storage_config.py | 364 + build.sh | 16 +- docker-compose.e2e.yml | 3 +- docker-compose.enterprise-clean.yml | 6 +- docker-compose.yml | 5 +- frontend/e2e/fixtures/global-setup.js | 9 +- frontend/e2e/run-enterprise-clean-e2e.sh | 566 + .../e2e/tests/enterprise-clean-setup.e2e.js | 182 + frontend/e2e/tests/live-project-check.e2e.js | 321 + frontend/src/components/TaskHistory.svelte | 12 +- frontend/src/lib/api/maintenance.js | 69 + .../DashboardMaintenanceBadge.svelte | 47 + .../components/MaintenanceEventsTable.svelte | 283 + .../MaintenanceSettingsPanel.svelte | 324 + .../components/StartMaintenanceForm.svelte | 279 + .../health/ScheduleAtAGlance.svelte | 407 + .../components/layout/sidebarNavigation.js | 12 + .../translate/ScheduleConfig.svelte | 16 +- frontend/src/lib/i18n/index.ts | 4 + frontend/src/lib/i18n/locales/en/health.json | 11 +- .../src/lib/i18n/locales/en/maintenance.json | 90 + frontend/src/lib/i18n/locales/en/nav.json | 1 + .../src/lib/i18n/locales/en/settings.json | 26 +- .../src/lib/i18n/locales/en/translate.json | 5 +- .../src/lib/i18n/locales/en/validation.json | 3 + frontend/src/lib/i18n/locales/ru/health.json | 11 +- .../src/lib/i18n/locales/ru/maintenance.json | 90 + frontend/src/lib/i18n/locales/ru/nav.json | 1 + .../src/lib/i18n/locales/ru/settings.json | 26 +- .../src/lib/i18n/locales/ru/translate.json | 5 +- .../src/lib/i18n/locales/ru/validation.json | 3 + frontend/src/lib/stores/maintenance.svelte.js | 180 + frontend/src/lib/ui/HelpTooltip.svelte | 75 + frontend/src/routes/dashboards/+page.svelte | 19 +- .../src/routes/dashboards/health/+page.svelte | 36 +- frontend/src/routes/maintenance/+page.svelte | 81 + frontend/src/routes/migration/+page.svelte | 2 +- .../routes/reports/llm/[taskId]/+page.svelte | 4 +- frontend/src/routes/settings/+page.svelte | 16 + .../routes/settings/FeaturesSettings.svelte | 19 +- .../src/routes/settings/LlmSettings.svelte | 121 +- .../routes/settings/MigrationSettings.svelte | 17 +- .../src/routes/settings/SystemSettings.svelte | 84 + frontend/src/routes/settings/git/+page.svelte | 105 +- .../src/routes/validation/[id]/+page.svelte | 28 +- frontend/tests/maintenance-api.test.ts | 42 + frontend/tests/maintenance-store.test.ts | 174 + frontend/tests/maintenance.test.ts | 189 + frontend/vite.config.js | 4 +- frontend/vitest.config.js | 3 +- 100 files changed, 19635 insertions(+), 7923 deletions(-) create mode 100644 backend/.axiom/runtime/belief_events.jsonl create mode 100644 backend/:memory:test_auth create mode 100644 backend/:memory:test_main create mode 100644 backend/:memory:test_tasks create mode 100644 backend/src/api/routes/maintenance/__init__.py create mode 100644 backend/src/api/routes/maintenance/_router.py create mode 100644 backend/src/api/routes/maintenance/_routes.py create mode 100644 backend/src/api/routes/maintenance/_schemas.py create mode 100644 backend/src/core/superset_client/_dashboards_write.py create mode 100644 backend/src/core/superset_client/_layout_utils.py create mode 100644 backend/src/core/timezone.py create mode 100644 backend/src/models/maintenance.py create mode 100644 backend/src/plugins/maintenance_banner.py create mode 100644 backend/src/services/maintenance/__init__.py create mode 100644 backend/src/services/maintenance/_banner_renderer.py create mode 100644 backend/src/services/maintenance/_chart_manager.py create mode 100644 backend/src/services/maintenance/_dashboard_scanner.py create mode 100644 backend/src/services/maintenance/_orchestrators.py create mode 100644 backend/src/services/sql_table_extractor.py create mode 100644 backend/tests/test_layout_utils.py create mode 100644 backend/tests/test_maintenance_api.py create mode 100644 backend/tests/test_maintenance_service.py create mode 100644 backend/tests/test_sql_table_extractor.py create mode 100644 backend/tests/test_storage_config.py create mode 100755 frontend/e2e/run-enterprise-clean-e2e.sh create mode 100644 frontend/e2e/tests/enterprise-clean-setup.e2e.js create mode 100644 frontend/e2e/tests/live-project-check.e2e.js create mode 100644 frontend/src/lib/api/maintenance.js create mode 100644 frontend/src/lib/components/DashboardMaintenanceBadge.svelte create mode 100644 frontend/src/lib/components/MaintenanceEventsTable.svelte create mode 100644 frontend/src/lib/components/MaintenanceSettingsPanel.svelte create mode 100644 frontend/src/lib/components/StartMaintenanceForm.svelte create mode 100644 frontend/src/lib/components/health/ScheduleAtAGlance.svelte create mode 100644 frontend/src/lib/i18n/locales/en/maintenance.json create mode 100644 frontend/src/lib/i18n/locales/ru/maintenance.json create mode 100644 frontend/src/lib/stores/maintenance.svelte.js create mode 100644 frontend/src/lib/ui/HelpTooltip.svelte create mode 100644 frontend/src/routes/maintenance/+page.svelte create mode 100644 frontend/src/routes/settings/SystemSettings.svelte create mode 100644 frontend/tests/maintenance-api.test.ts create mode 100644 frontend/tests/maintenance-store.test.ts create mode 100644 frontend/tests/maintenance.test.ts diff --git a/.axiom/semantic_index/index.json b/.axiom/semantic_index/index.json index 54293b3e..826afcd7 100644 --- a/.axiom/semantic_index/index.json +++ b/.axiom/semantic_index/index.json @@ -1,9 +1,9 @@ { - "generated_at": "2026-05-20T21:02:02.102482917Z", + "generated_at": "2026-05-21T17:00:02.724155271Z", "root_path": "/home/busya/dev/ss-tools", - "contract_count": 2710, + "contract_count": 2781, "edge_count": 1947, - "file_count": 647, + "file_count": 654, "contracts": [ { "contract_id": "SrcRoot", @@ -277,7 +277,7 @@ "contract_type": "Module", "file_path": "backend/src/api/routes/__init__.py", "start_line": 1, - "end_line": 60, + "end_line": 59, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -305,14 +305,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region ApiRoutesModule [C:5] [TYPE Module] [SEMANTICS api, package, router, lazy, import]\n# @BRIEF Provide lazy route module loading to avoid heavyweight imports during tests.\n# @LAYER: API\n# @RELATION CALLS -> [ApiRoutesGetAttr]\n# @RELATION BINDS_TO -> [Route_Group_Contracts]\n# @PRE: FastAPI app initialized, route modules available in package\n# @POST: Route modules are lazily loadable via __getattr__\n# @INVARIANT: Only names listed in __all__ are importable via __getattr__.\n\n# #region Route_Group_Contracts [C:3] [TYPE Block]\n# @BRIEF Declare the canonical route-module registry used by lazy imports and app router inclusion.\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ConnectionsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @SIDE_EFFECT: Registers route group imports via __getattr__\n# @DATA_CONTRACT: Package -> RouterModule mapping\n__all__ = [\n \"admin\",\n \"assistant\",\n \"clean_release\",\n \"clean_release_v2\",\n \"connections\",\n \"dashboards\",\n \"dataset_review\",\n \"datasets\",\n \"environments\",\n \"git\",\n \"health\",\n \"llm\",\n \"mappings\",\n \"migration\",\n \"plugins\",\n \"profile\",\n \"reports\",\n \"settings\",\n \"storage\",\n \"tasks\",\n \"translate\",\n]\n# #endregion Route_Group_Contracts\n\n\n# #region ApiRoutesGetAttr [C:3] [TYPE Function]\n# @BRIEF Lazily import route module by attribute name.\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @PRE: name is module candidate exposed in __all__.\n# @POST: Returns imported submodule or raises AttributeError.\ndef __getattr__(name):\n if name in __all__:\n import importlib\n\n return importlib.import_module(f\".{name}\", __name__)\n raise AttributeError(f\"module {__name__!r} has no attribute {name!r}\")\n\n\n# #endregion ApiRoutesGetAttr\n# #endregion ApiRoutesModule\n" + "body": "# #region ApiRoutesModule [C:5] [TYPE Module] [SEMANTICS api, package, router, lazy, import]\n# @BRIEF Provide lazy route module loading to avoid heavyweight imports during tests.\n# @LAYER: API\n# @RELATION CALLS -> [ApiRoutesGetAttr]\n# @RELATION BINDS_TO -> [Route_Group_Contracts]\n# @PRE: FastAPI app initialized, route modules available in package\n# @POST: Route modules are lazily loadable via __getattr__\n# @INVARIANT: Only names listed in __all__ are importable via __getattr__.\n\n# #region Route_Group_Contracts [C:3] [TYPE Block]\n# @BRIEF Declare the canonical route-module registry used by lazy imports and app router inclusion.\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @SIDE_EFFECT: Registers route group imports via __getattr__\n# @DATA_CONTRACT: Package -> RouterModule mapping\n__all__ = [\n \"admin\",\n \"assistant\",\n \"clean_release\",\n \"clean_release_v2\",\n \"dashboards\",\n \"dataset_review\",\n \"datasets\",\n \"environments\",\n \"git\",\n \"health\",\n \"llm\",\n \"mappings\",\n \"migration\",\n \"plugins\",\n \"profile\",\n \"reports\",\n \"settings\",\n \"storage\",\n \"tasks\",\n \"translate\",\n \"validation\",\n]\n# #endregion Route_Group_Contracts\n\n\n# #region ApiRoutesGetAttr [C:3] [TYPE Function]\n# @BRIEF Lazily import route module by attribute name.\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @PRE: name is module candidate exposed in __all__.\n# @POST: Returns imported submodule or raises AttributeError.\ndef __getattr__(name):\n if name in __all__:\n import importlib\n\n return importlib.import_module(f\".{name}\", __name__)\n raise AttributeError(f\"module {__name__!r} has no attribute {name!r}\")\n\n\n# #endregion ApiRoutesGetAttr\n# #endregion ApiRoutesModule\n" }, { "contract_id": "Route_Group_Contracts", "contract_type": "Block", "file_path": "backend/src/api/routes/__init__.py", "start_line": 10, - "end_line": 43, + "end_line": 42, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -340,12 +340,6 @@ "target_id": "SettingsRouter", "target_ref": "[SettingsRouter]" }, - { - "source_id": "Route_Group_Contracts", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionsRouter", - "target_ref": "[ConnectionsRouter]" - }, { "source_id": "Route_Group_Contracts", "relation_type": "DEPENDS_ON", @@ -411,14 +405,14 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region Route_Group_Contracts [C:3] [TYPE Block]\n# @BRIEF Declare the canonical route-module registry used by lazy imports and app router inclusion.\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ConnectionsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @SIDE_EFFECT: Registers route group imports via __getattr__\n# @DATA_CONTRACT: Package -> RouterModule mapping\n__all__ = [\n \"admin\",\n \"assistant\",\n \"clean_release\",\n \"clean_release_v2\",\n \"connections\",\n \"dashboards\",\n \"dataset_review\",\n \"datasets\",\n \"environments\",\n \"git\",\n \"health\",\n \"llm\",\n \"mappings\",\n \"migration\",\n \"plugins\",\n \"profile\",\n \"reports\",\n \"settings\",\n \"storage\",\n \"tasks\",\n \"translate\",\n]\n# #endregion Route_Group_Contracts\n" + "body": "# #region Route_Group_Contracts [C:3] [TYPE Block]\n# @BRIEF Declare the canonical route-module registry used by lazy imports and app router inclusion.\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @SIDE_EFFECT: Registers route group imports via __getattr__\n# @DATA_CONTRACT: Package -> RouterModule mapping\n__all__ = [\n \"admin\",\n \"assistant\",\n \"clean_release\",\n \"clean_release_v2\",\n \"dashboards\",\n \"dataset_review\",\n \"datasets\",\n \"environments\",\n \"git\",\n \"health\",\n \"llm\",\n \"mappings\",\n \"migration\",\n \"plugins\",\n \"profile\",\n \"reports\",\n \"settings\",\n \"storage\",\n \"tasks\",\n \"translate\",\n \"validation\",\n]\n# #endregion Route_Group_Contracts\n" }, { "contract_id": "ApiRoutesGetAttr", "contract_type": "Function", "file_path": "backend/src/api/routes/__init__.py", - "start_line": 46, - "end_line": 59, + "start_line": 45, + "end_line": 58, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -1068,54 +1062,6 @@ "tier_source": "AutoCalculated", "body": "# #region test_release_reject_contract [TYPE Function]\n# @RELATION BINDS_TO -> CleanReleaseV2ReleaseApiTests\n# @BRIEF Verify reject endpoint returns successful rejection decision payload.\ndef test_release_reject_contract() -> None:\n \"\"\"Contract for reject endpoint.\"\"\"\n candidate_id, report_id = _seed_candidate_and_passed_report()\n reject_response = client.post(\n f\"/api/v2/clean-release/candidates/{candidate_id}/reject\",\n json={\"report_id\": report_id, \"decided_by\": \"api-test\", \"comment\": \"rejected\"},\n )\n assert reject_response.status_code == 200\n payload = reject_response.json()\n assert payload[\"status\"] == \"ok\"\n assert payload[\"decision\"] == \"REJECTED\"\n# #endregion test_release_reject_contract\n" }, - { - "contract_id": "test_list_connections_bootstraps_missing_table", - "contract_type": "Function", - "file_path": "backend/src/api/routes/__tests__/test_connections_routes.py", - "start_line": 39, - "end_line": 48, - "tier": "TIER_1", - "complexity": 2, - "metadata": { - "PURPOSE": "Ensure listing connections auto-creates missing table and returns empty payload." - }, - "relations": [ - { - "source_id": "test_list_connections_bootstraps_missing_table", - "relation_type": "BINDS_TO", - "target_id": "ConnectionsRoutesTests", - "target_ref": "ConnectionsRoutesTests" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region test_list_connections_bootstraps_missing_table [TYPE Function]\n# @RELATION BINDS_TO -> ConnectionsRoutesTests\n# @BRIEF Ensure listing connections auto-creates missing table and returns empty payload.\ndef test_list_connections_bootstraps_missing_table(db_session):\n from src.api.routes.connections import list_connections\n result = asyncio.run(list_connections(db=db_session))\n inspector = inspect(db_session.get_bind())\n assert result == []\n assert \"connection_configs\" in inspector.get_table_names()\n# #endregion test_list_connections_bootstraps_missing_table\n" - }, - { - "contract_id": "test_create_connection_bootstraps_missing_table", - "contract_type": "Function", - "file_path": "backend/src/api/routes/__tests__/test_connections_routes.py", - "start_line": 49, - "end_line": 68, - "tier": "TIER_1", - "complexity": 2, - "metadata": { - "PURPOSE": "Ensure connection creation bootstraps table and persists returned connection fields." - }, - "relations": [ - { - "source_id": "test_create_connection_bootstraps_missing_table", - "relation_type": "BINDS_TO", - "target_id": "ConnectionsRoutesTests", - "target_ref": "ConnectionsRoutesTests" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region test_create_connection_bootstraps_missing_table [TYPE Function]\n# @RELATION BINDS_TO -> ConnectionsRoutesTests\n# @BRIEF Ensure connection creation bootstraps table and persists returned connection fields.\ndef test_create_connection_bootstraps_missing_table(db_session):\n from src.api.routes.connections import ConnectionCreate, create_connection\n payload = ConnectionCreate(\n name=\"Analytics Warehouse\",\n type=\"postgres\",\n host=\"warehouse.internal\",\n port=5432,\n database=\"analytics\",\n username=\"reporter\",\n password=\"secret\",\n )\n created = asyncio.run(create_connection(connection=payload, db=db_session))\n inspector = inspect(db_session.get_bind())\n assert created.name == \"Analytics Warehouse\"\n assert created.host == \"warehouse.internal\"\n assert \"connection_configs\" in inspector.get_table_names()\n# #endregion test_create_connection_bootstraps_missing_table\n" - }, { "contract_id": "test_get_dashboards_success", "contract_type": "Function", @@ -2705,7 +2651,7 @@ "complexity": 2, "metadata": { "POST": "Returns task_id", - "PRE": "Valid env_id, dataset_ids, source_type", + "PRE": "Valid env_id, dataset_ids, source_type (sqllab)", "PURPOSE": "Validate map-columns request creates an async mapping task and returns its identifier.", "TEST": "POST /api/datasets/map-columns creates mapping task" }, @@ -2727,7 +2673,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region test_map_columns_success [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns request creates an async mapping task and returns its identifier.\n# @TEST: POST /api/datasets/map-columns creates mapping task\n# @PRE: Valid env_id, dataset_ids, source_type\n# @POST: Returns task_id\ndef test_map_columns_success(mock_deps):\n # Mock environment\n mock_env = MagicMock()\n mock_env.id = \"prod\"\n mock_deps[\"config\"].get_environments.return_value = [mock_env]\n # Mock task manager\n mock_task = MagicMock()\n mock_task.id = \"task-123\"\n mock_deps[\"task\"].create_task = AsyncMock(return_value=mock_task)\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [1, 2, 3], \"source_type\": \"postgresql\"},\n )\n assert response.status_code == 200\n data = response.json()\n assert \"task_id\" in data\n # @POST/@SIDE_EFFECT: create_task was called\n mock_deps[\"task\"].create_task.assert_called_once()\n# #endregion test_map_columns_success\n" + "body": "# #region test_map_columns_success [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns request creates an async mapping task and returns its identifier.\n# @TEST: POST /api/datasets/map-columns creates mapping task\n# @PRE: Valid env_id, dataset_ids, source_type (sqllab)\n# @POST: Returns task_id\ndef test_map_columns_success(mock_deps):\n # Mock environment\n mock_env = MagicMock()\n mock_env.id = \"prod\"\n mock_deps[\"config\"].get_environments.return_value = [mock_env]\n # Mock task manager\n mock_task = MagicMock()\n mock_task.id = \"task-123\"\n mock_deps[\"task\"].create_task = AsyncMock(return_value=mock_task)\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [1, 2, 3], \"source_type\": \"sqllab\", \"database_id\": 1},\n )\n assert response.status_code == 200\n data = response.json()\n assert \"task_id\" in data\n # @POST/@SIDE_EFFECT: create_task was called\n mock_deps[\"task\"].create_task.assert_called_once()\n# #endregion test_map_columns_success\n" }, { "contract_id": "test_map_columns_invalid_source_type", @@ -2739,7 +2685,7 @@ "complexity": 2, "metadata": { "POST": "Returns 400 error", - "PRE": "source_type is not 'postgresql' or 'xlsx'", + "PRE": "source_type is not 'sqllab' or 'xlsx'", "PURPOSE": "Validate map-columns rejects unsupported source types with a 400 contract response.", "TEST": "POST /api/datasets/map-columns returns 400 for invalid source_type" }, @@ -2761,7 +2707,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region test_map_columns_invalid_source_type [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns rejects unsupported source types with a 400 contract response.\n# @TEST: POST /api/datasets/map-columns returns 400 for invalid source_type\n# @PRE: source_type is not 'postgresql' or 'xlsx'\n# @POST: Returns 400 error\ndef test_map_columns_invalid_source_type(mock_deps):\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [1], \"source_type\": \"invalid\"},\n )\n assert response.status_code == 400\n assert \"Source type must be 'postgresql' or 'xlsx'\" in response.json()[\"detail\"]\n# #endregion test_map_columns_invalid_source_type\n" + "body": "# #region test_map_columns_invalid_source_type [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns rejects unsupported source types with a 400 contract response.\n# @TEST: POST /api/datasets/map-columns returns 400 for invalid source_type\n# @PRE: source_type is not 'sqllab' or 'xlsx'\n# @POST: Returns 400 error\ndef test_map_columns_invalid_source_type(mock_deps):\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [1], \"source_type\": \"invalid\"},\n )\n assert response.status_code == 400\n assert \"Source type must be 'sqllab' or 'xlsx'\" in response.json()[\"detail\"]\n# #endregion test_map_columns_invalid_source_type\n" }, { "contract_id": "test_generate_docs_success", @@ -2829,14 +2775,47 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region test_map_columns_empty_ids [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns rejects empty dataset identifier lists.\n# @TEST: POST /api/datasets/map-columns returns 400 for empty dataset_ids\n# @PRE: dataset_ids is empty\n# @POST: Returns 400 error\ndef test_map_columns_empty_ids(mock_deps):\n \"\"\"@PRE: dataset_ids must be non-empty.\"\"\"\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [], \"source_type\": \"postgresql\"},\n )\n assert response.status_code == 400\n assert \"At least one dataset ID must be provided\" in response.json()[\"detail\"]\n# #endregion test_map_columns_empty_ids\n" + "body": "# #region test_map_columns_empty_ids [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns rejects empty dataset identifier lists.\n# @TEST: POST /api/datasets/map-columns returns 400 for empty dataset_ids\n# @PRE: dataset_ids is empty\n# @POST: Returns 400 error\ndef test_map_columns_empty_ids(mock_deps):\n \"\"\"@PRE: dataset_ids must be non-empty.\"\"\"\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [], \"source_type\": \"sqllab\", \"database_id\": 1},\n )\n assert response.status_code == 400\n assert \"At least one dataset ID must be provided\" in response.json()[\"detail\"]\n# #endregion test_map_columns_empty_ids\n" + }, + { + "contract_id": "test_map_columns_missing_database_id", + "contract_type": "Function", + "file_path": "backend/src/api/routes/__tests__/test_datasets.py", + "start_line": 210, + "end_line": 222, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "POST": "Returns 400 error", + "PURPOSE": "Validate map-columns rejects sqllab source without database_id.", + "TEST": "POST /api/datasets/map-columns returns 400 for sqllab without database_id" + }, + "relations": [ + { + "source_id": "test_map_columns_missing_database_id", + "relation_type": "BINDS_TO", + "target_id": "DatasetsApiTests:Module", + "target_ref": "[DatasetsApiTests:Module]" + } + ], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "TEST", + "message": "@TEST is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_map_columns_missing_database_id [TYPE Function]\n# @RELATION BINDS_TO -> [DatasetsApiTests:Module]\n# @BRIEF Validate map-columns rejects sqllab source without database_id.\n# @TEST: POST /api/datasets/map-columns returns 400 for sqllab without database_id\n# @POST: Returns 400 error\ndef test_map_columns_missing_database_id(mock_deps):\n response = client.post(\n \"/api/datasets/map-columns\",\n json={\"env_id\": \"prod\", \"dataset_ids\": [1], \"source_type\": \"sqllab\"},\n )\n assert response.status_code == 400\n assert \"database_id is required\" in response.json()[\"detail\"]\n# #endregion test_map_columns_missing_database_id\n" }, { "contract_id": "test_generate_docs_empty_ids", "contract_type": "Function", "file_path": "backend/src/api/routes/__tests__/test_datasets.py", - "start_line": 210, - "end_line": 224, + "start_line": 223, + "end_line": 237, "tier": "TIER_1", "complexity": 2, "metadata": { @@ -2869,8 +2848,8 @@ "contract_id": "test_generate_docs_env_not_found", "contract_type": "Function", "file_path": "backend/src/api/routes/__tests__/test_datasets.py", - "start_line": 225, - "end_line": 240, + "start_line": 238, + "end_line": 253, "tier": "TIER_1", "complexity": 2, "metadata": { @@ -2903,8 +2882,8 @@ "contract_id": "test_get_datasets_superset_failure", "contract_type": "Function", "file_path": "backend/src/api/routes/__tests__/test_datasets.py", - "start_line": 241, - "end_line": 258, + "start_line": 254, + "end_line": 271, "tier": "TIER_1", "complexity": 2, "metadata": { @@ -6998,214 +6977,6 @@ "tier_source": "AutoCalculated", "body": "# #region revoke_publication_endpoint [C:3] [TYPE Function]\n# @BRIEF Endpoint to revoke a previous publication.\n# @RELATION CALLS -> [revoke_publication]\n@router.post(\"/publications/{publication_id}/revoke\")\nasync def revoke_publication_endpoint(\n publication_id: str,\n payload: dict[str, Any],\n repository: CleanReleaseRepository = Depends(get_clean_release_repository),\n):\n try:\n publication = revoke_publication(\n repository=repository,\n publication_id=publication_id,\n revoked_by=str(payload[\"revoked_by\"]),\n comment=payload.get(\"comment\"),\n )\n except Exception as exc:\n raise HTTPException(\n status_code=409,\n detail={\"message\": str(exc), \"code\": \"PUBLICATION_GATE_ERROR\"},\n )\n\n return {\n \"status\": \"ok\",\n \"publication\": {\n \"id\": publication.id,\n \"candidate_id\": publication.candidate_id,\n \"report_id\": publication.report_id,\n \"published_by\": publication.published_by,\n \"published_at\": publication.published_at.isoformat()\n if publication.published_at\n else None,\n \"target_channel\": publication.target_channel,\n \"publication_ref\": publication.publication_ref,\n \"status\": publication.status,\n },\n }\n\n\n# #endregion revoke_publication_endpoint\n" }, - { - "contract_id": "ConnectionsRouter", - "contract_type": "Module", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 1, - "end_line": 141, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "LAYER": "API", - "PURPOSE": "Defines the FastAPI router for managing external database connections." - }, - "relations": [ - { - "source_id": "ConnectionsRouter", - "relation_type": "DEPENDS_ON", - "target_id": "get_db", - "target_ref": "[get_db]" - }, - { - "source_id": "ConnectionsRouter", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "[ConnectionConfig]" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ConnectionsRouter [C:3] [TYPE Module] [SEMANTICS fastapi, connection, api, search]\n# @BRIEF Defines the FastAPI router for managing external database connections.\n# @LAYER: API\n# @RELATION DEPENDS_ON -> [get_db]\n# @RELATION DEPENDS_ON -> [ConnectionConfig]\n\nfrom datetime import datetime\n\nfrom fastapi import APIRouter, Depends, HTTPException, status\nfrom pydantic import BaseModel\nfrom sqlalchemy.orm import Session\n\nfrom ...core.database import ensure_connection_configs_table, get_db\nfrom ...core.logger import belief_scope, logger\nfrom ...models.connection import ConnectionConfig\n\nrouter = APIRouter()\n\n\n# #region _ensure_connections_schema [C:3] [TYPE Function]\n# @BRIEF Ensures the connection_configs table exists before CRUD access.\n# @PRE: db is an active SQLAlchemy session.\n# @POST: The current bind can safely query ConnectionConfig.\n# @RELATION CALLS -> ensure_connection_configs_table\ndef _ensure_connections_schema(db: Session):\n with belief_scope(\"ConnectionsRouter.ensure_schema\"):\n ensure_connection_configs_table(db.get_bind())\n\n\n# #endregion _ensure_connections_schema\n\n\n# #region ConnectionSchema [C:3] [TYPE Class]\n# @BRIEF Pydantic model for connection response.\n# @RELATION BINDS_TO -> ConnectionConfig\nclass ConnectionSchema(BaseModel):\n id: str\n name: str\n type: str\n host: str | None = None\n port: int | None = None\n database: str | None = None\n username: str | None = None\n created_at: datetime\n\n class Config:\n orm_mode = True\n\n\n# #endregion ConnectionSchema\n\n\n# #region ConnectionCreate [C:3] [TYPE Class]\n# @BRIEF Pydantic model for creating a connection.\n# @RELATION BINDS_TO -> ConnectionConfig\nclass ConnectionCreate(BaseModel):\n name: str\n type: str\n host: str | None = None\n port: int | None = None\n database: str | None = None\n username: str | None = None\n password: str | None = None\n\n\n# #endregion ConnectionCreate\n\n\n# #region list_connections [C:3] [TYPE Function]\n# @BRIEF Lists all saved connections.\n# @PRE: Database session is active.\n# @POST: Returns list of connection configs.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.get(\"\", response_model=list[ConnectionSchema])\nasync def list_connections(db: Session = Depends(get_db)):\n with belief_scope(\"ConnectionsRouter.list_connections\"):\n _ensure_connections_schema(db)\n connections = db.query(ConnectionConfig).all()\n return connections\n\n\n# #endregion list_connections\n\n\n# #region create_connection [C:3] [TYPE Function]\n# @BRIEF Creates a new connection configuration.\n# @PRE: Connection name is unique.\n# @POST: Connection is saved to DB.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.post(\"\", response_model=ConnectionSchema, status_code=status.HTTP_201_CREATED)\nasync def create_connection(\n connection: ConnectionCreate, db: Session = Depends(get_db)\n):\n with belief_scope(\"ConnectionsRouter.create_connection\", f\"name={connection.name}\"):\n _ensure_connections_schema(db)\n db_connection = ConnectionConfig(**connection.dict())\n db.add(db_connection)\n db.commit()\n db.refresh(db_connection)\n logger.info(\n f\"[ConnectionsRouter.create_connection][Success] Created connection {db_connection.id}\"\n )\n return db_connection\n\n\n# #endregion create_connection\n\n\n# #region delete_connection [C:3] [TYPE Function]\n# @BRIEF Deletes a connection configuration.\n# @PRE: Connection ID exists.\n# @POST: Connection is removed from DB.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.delete(\"/{connection_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_connection(connection_id: str, db: Session = Depends(get_db)):\n with belief_scope(\"ConnectionsRouter.delete_connection\", f\"id={connection_id}\"):\n _ensure_connections_schema(db)\n db_connection = (\n db.query(ConnectionConfig)\n .filter(ConnectionConfig.id == connection_id)\n .first()\n )\n if not db_connection:\n logger.error(\n f\"[ConnectionsRouter.delete_connection][State] Connection {connection_id} not found\"\n )\n raise HTTPException(status_code=404, detail=\"Connection not found\")\n db.delete(db_connection)\n db.commit()\n logger.info(\n f\"[ConnectionsRouter.delete_connection][Success] Deleted connection {connection_id}\"\n )\n return\n\n\n# #endregion delete_connection\n\n# #endregion ConnectionsRouter\n" - }, - { - "contract_id": "_ensure_connections_schema", - "contract_type": "Function", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 20, - "end_line": 30, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "POST": "The current bind can safely query ConnectionConfig.", - "PRE": "db is an active SQLAlchemy session.", - "PURPOSE": "Ensures the connection_configs table exists before CRUD access." - }, - "relations": [ - { - "source_id": "_ensure_connections_schema", - "relation_type": "CALLS", - "target_id": "ensure_connection_configs_table", - "target_ref": "ensure_connection_configs_table" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region _ensure_connections_schema [C:3] [TYPE Function]\n# @BRIEF Ensures the connection_configs table exists before CRUD access.\n# @PRE: db is an active SQLAlchemy session.\n# @POST: The current bind can safely query ConnectionConfig.\n# @RELATION CALLS -> ensure_connection_configs_table\ndef _ensure_connections_schema(db: Session):\n with belief_scope(\"ConnectionsRouter.ensure_schema\"):\n ensure_connection_configs_table(db.get_bind())\n\n\n# #endregion _ensure_connections_schema\n" - }, - { - "contract_id": "ConnectionSchema", - "contract_type": "Class", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 33, - "end_line": 50, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "PURPOSE": "Pydantic model for connection response." - }, - "relations": [ - { - "source_id": "ConnectionSchema", - "relation_type": "BINDS_TO", - "target_id": "ConnectionConfig", - "target_ref": "ConnectionConfig" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ConnectionSchema [C:3] [TYPE Class]\n# @BRIEF Pydantic model for connection response.\n# @RELATION BINDS_TO -> ConnectionConfig\nclass ConnectionSchema(BaseModel):\n id: str\n name: str\n type: str\n host: str | None = None\n port: int | None = None\n database: str | None = None\n username: str | None = None\n created_at: datetime\n\n class Config:\n orm_mode = True\n\n\n# #endregion ConnectionSchema\n" - }, - { - "contract_id": "ConnectionCreate", - "contract_type": "Class", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 53, - "end_line": 66, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "PURPOSE": "Pydantic model for creating a connection." - }, - "relations": [ - { - "source_id": "ConnectionCreate", - "relation_type": "BINDS_TO", - "target_id": "ConnectionConfig", - "target_ref": "ConnectionConfig" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ConnectionCreate [C:3] [TYPE Class]\n# @BRIEF Pydantic model for creating a connection.\n# @RELATION BINDS_TO -> ConnectionConfig\nclass ConnectionCreate(BaseModel):\n name: str\n type: str\n host: str | None = None\n port: int | None = None\n database: str | None = None\n username: str | None = None\n password: str | None = None\n\n\n# #endregion ConnectionCreate\n" - }, - { - "contract_id": "list_connections", - "contract_type": "Function", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 69, - "end_line": 83, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "POST": "Returns list of connection configs.", - "PRE": "Database session is active.", - "PURPOSE": "Lists all saved connections." - }, - "relations": [ - { - "source_id": "list_connections", - "relation_type": "CALLS", - "target_id": "_ensure_connections_schema", - "target_ref": "_ensure_connections_schema" - }, - { - "source_id": "list_connections", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "ConnectionConfig" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region list_connections [C:3] [TYPE Function]\n# @BRIEF Lists all saved connections.\n# @PRE: Database session is active.\n# @POST: Returns list of connection configs.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.get(\"\", response_model=list[ConnectionSchema])\nasync def list_connections(db: Session = Depends(get_db)):\n with belief_scope(\"ConnectionsRouter.list_connections\"):\n _ensure_connections_schema(db)\n connections = db.query(ConnectionConfig).all()\n return connections\n\n\n# #endregion list_connections\n" - }, - { - "contract_id": "create_connection", - "contract_type": "Function", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 86, - "end_line": 108, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "POST": "Connection is saved to DB.", - "PRE": "Connection name is unique.", - "PURPOSE": "Creates a new connection configuration." - }, - "relations": [ - { - "source_id": "create_connection", - "relation_type": "CALLS", - "target_id": "_ensure_connections_schema", - "target_ref": "_ensure_connections_schema" - }, - { - "source_id": "create_connection", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "ConnectionConfig" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region create_connection [C:3] [TYPE Function]\n# @BRIEF Creates a new connection configuration.\n# @PRE: Connection name is unique.\n# @POST: Connection is saved to DB.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.post(\"\", response_model=ConnectionSchema, status_code=status.HTTP_201_CREATED)\nasync def create_connection(\n connection: ConnectionCreate, db: Session = Depends(get_db)\n):\n with belief_scope(\"ConnectionsRouter.create_connection\", f\"name={connection.name}\"):\n _ensure_connections_schema(db)\n db_connection = ConnectionConfig(**connection.dict())\n db.add(db_connection)\n db.commit()\n db.refresh(db_connection)\n logger.info(\n f\"[ConnectionsRouter.create_connection][Success] Created connection {db_connection.id}\"\n )\n return db_connection\n\n\n# #endregion create_connection\n" - }, - { - "contract_id": "delete_connection", - "contract_type": "Function", - "file_path": "backend/src/api/routes/connections.py", - "start_line": 111, - "end_line": 139, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "POST": "Connection is removed from DB.", - "PRE": "Connection ID exists.", - "PURPOSE": "Deletes a connection configuration." - }, - "relations": [ - { - "source_id": "delete_connection", - "relation_type": "CALLS", - "target_id": "_ensure_connections_schema", - "target_ref": "_ensure_connections_schema" - }, - { - "source_id": "delete_connection", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "ConnectionConfig" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region delete_connection [C:3] [TYPE Function]\n# @BRIEF Deletes a connection configuration.\n# @PRE: Connection ID exists.\n# @POST: Connection is removed from DB.\n# @RELATION CALLS -> _ensure_connections_schema\n# @RELATION DEPENDS_ON -> ConnectionConfig\n@router.delete(\"/{connection_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_connection(connection_id: str, db: Session = Depends(get_db)):\n with belief_scope(\"ConnectionsRouter.delete_connection\", f\"id={connection_id}\"):\n _ensure_connections_schema(db)\n db_connection = (\n db.query(ConnectionConfig)\n .filter(ConnectionConfig.id == connection_id)\n .first()\n )\n if not db_connection:\n logger.error(\n f\"[ConnectionsRouter.delete_connection][State] Connection {connection_id} not found\"\n )\n raise HTTPException(status_code=404, detail=\"Connection not found\")\n db.delete(db_connection)\n db.commit()\n logger.info(\n f\"[ConnectionsRouter.delete_connection][Success] Deleted connection {connection_id}\"\n )\n return\n\n\n# #endregion delete_connection\n" - }, { "contract_id": "DashboardsApi", "contract_type": "Module", @@ -10316,7 +10087,7 @@ "contract_type": "Module", "file_path": "backend/src/api/routes/datasets.py", "start_line": 1, - "end_line": 402, + "end_line": 681, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -10352,14 +10123,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetsApi [C:5] [TYPE Module] [SEMANTICS fastapi, dataset, api, search, mapping, mapped-fields]\n#\n# @BRIEF API endpoints for the Dataset Hub - listing datasets with mapping progress\n# @LAYER: API\n# @RELATION DEPENDS_ON -> [AppDependencies]\n# @RELATION DEPENDS_ON -> [ResourceService]\n# @RELATION DEPENDS_ON -> [SupersetClient]\n#\n# @PRE SupersetClient is available; env_id is valid.\n# @POST Returns dataset metadata with mapping status.\n# @SIDE_EFFECT Reads from Superset API and task manager.\n# @DATA_CONTRACT Input -> DatasetQuery, Output -> DatasetsResponse, DatasetDetailResponse\n# @INVARIANT: All dataset responses include last_task metadata\n\n\nfrom fastapi import APIRouter, Depends, HTTPException\nfrom pydantic import BaseModel, Field\n\nfrom ...core.logger import belief_scope, logger\nfrom ...core.superset_client import SupersetClient\nfrom ...dependencies import get_config_manager, get_resource_service, get_task_manager, has_permission\n\nrouter = APIRouter(prefix=\"/api/datasets\", tags=[\"Datasets\"])\n\n# #region MappedFields [C:1] [TYPE DataClass]\n# @BRIEF DTO for dataset mapping progress statistics\nclass MappedFields(BaseModel):\n total: int\n mapped: int\n# #endregion MappedFields\n\n# #region LastTask [C:1] [TYPE DataClass]\n# @BRIEF DTO for the most recent task associated with a dataset\nclass LastTask(BaseModel):\n task_id: str | None = None\n status: str | None = Field(None, pattern=\"^RUNNING|SUCCESS|ERROR|WAITING_INPUT$\")\n# #endregion LastTask\n\n# #region DatasetItem [C:1] [TYPE DataClass]\n# @BRIEF Summary DTO for a dataset in the hub listing\nclass DatasetItem(BaseModel):\n id: int\n table_name: str\n schema_name: str = Field(..., alias=\"schema\")\n database: str\n mapped_fields: MappedFields | None = None\n last_task: LastTask | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetItem\n\n# #region LinkedDashboard [C:1] [TYPE DataClass]\n# @BRIEF DTO for a dashboard linked to a dataset\nclass LinkedDashboard(BaseModel):\n id: int\n title: str\n slug: str | None = None\n# #endregion LinkedDashboard\n\n# #region DatasetColumn [C:1] [TYPE DataClass]\n# @BRIEF DTO for a single dataset column's metadata\nclass DatasetColumn(BaseModel):\n id: int\n name: str\n type: str | None = None\n is_dttm: bool = False\n is_active: bool = True\n description: str | None = None\n# #endregion DatasetColumn\n\n# #region DatasetDetailResponse [C:1] [TYPE DataClass]\n# @BRIEF Detailed DTO for a dataset including columns and links\nclass DatasetDetailResponse(BaseModel):\n id: int\n table_name: str | None = None\n schema_name: str | None = Field(None, alias=\"schema\")\n database: str\n description: str | None = None\n columns: list[DatasetColumn]\n column_count: int\n sql: str | None = None\n linked_dashboards: list[LinkedDashboard]\n linked_dashboard_count: int\n is_sqllab_view: bool = False\n created_on: str | None = None\n changed_on: str | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetDetailResponse\n\n# #region DatasetsResponse [C:1] [TYPE DataClass]\n# @BRIEF Paginated response DTO for dataset listings\nclass DatasetsResponse(BaseModel):\n datasets: list[DatasetItem]\n total: int\n page: int\n page_size: int\n total_pages: int\n# #endregion DatasetsResponse\n\n# #region TaskResponse [C:1] [TYPE DataClass]\n# @BRIEF Response DTO containing a task ID for tracking\nclass TaskResponse(BaseModel):\n task_id: str\n# #endregion TaskResponse\n\n# #region get_dataset_ids [C:4] [TYPE Function]\n# @BRIEF Fetch list of all dataset IDs from a specific environment (without pagination)\n# @PRE: env_id must be a valid environment ID\n# @POST: Returns a list of all dataset IDs\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"/ids\")\nasync def get_dataset_ids(\n env_id: str,\n search: str | None = None,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_dataset_ids\", f\"env_id={env_id}, search={search}\"):\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_dataset_ids][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Extract and return just the IDs\n dataset_ids = [d['id'] for d in datasets]\n logger.info(f\"[get_dataset_ids][Coherence:OK] Returning {len(dataset_ids)} dataset IDs\")\n\n return {\"dataset_ids\": dataset_ids}\n\n except Exception as e:\n logger.error(f\"[get_dataset_ids][Coherence:Failed] Failed to fetch dataset IDs: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch dataset IDs: {e!s}\")\n# #endregion get_dataset_ids\n\n# #region get_datasets [C:4] [TYPE Function]\n# @BRIEF Fetch list of datasets from a specific environment with mapping progress\n# @PRE: env_id must be a valid environment ID\n# @PRE: page must be >= 1 if provided\n# @PRE: page_size must be between 1 and 100 if provided\n# @POST: Returns a list of datasets with enhanced metadata and pagination info\n# @POST: Response includes pagination metadata (page, page_size, total, total_pages)\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"\", response_model=DatasetsResponse)\nasync def get_datasets(\n env_id: str,\n search: str | None = None,\n page: int = 1,\n page_size: int = 10,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_datasets\", f\"env_id={env_id}, search={search}, page={page}, page_size={page_size}\"):\n # Validate pagination parameters\n if page < 1:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page: {page}\")\n raise HTTPException(status_code=400, detail=\"Page must be >= 1\")\n if page_size < 1 or page_size > 100:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page_size: {page_size}\")\n raise HTTPException(status_code=400, detail=\"Page size must be between 1 and 100\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_datasets][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Calculate pagination\n total = len(datasets)\n total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n start_idx = (page - 1) * page_size\n end_idx = start_idx + page_size\n\n # Slice datasets for current page\n paginated_datasets = datasets[start_idx:end_idx]\n\n logger.info(f\"[get_datasets][Coherence:OK] Returning {len(paginated_datasets)} datasets (page {page}/{total_pages}, total: {total})\")\n\n return DatasetsResponse(\n datasets=paginated_datasets,\n total=total,\n page=page,\n page_size=page_size,\n total_pages=total_pages\n )\n\n except Exception as e:\n logger.error(f\"[get_datasets][Coherence:Failed] Failed to fetch datasets: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch datasets: {e!s}\")\n# #endregion get_datasets\n\n# #region MapColumnsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating column mapping\nclass MapColumnsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to map\")\n source_type: str = Field(..., description=\"Source type: 'postgresql' or 'xlsx'\")\n connection_id: str | None = Field(None, description=\"Connection ID for PostgreSQL source\")\n file_data: str | None = Field(None, description=\"File path or data for XLSX source\")\n# #endregion MapColumnsRequest\n\n# #region map_columns [C:4] [TYPE Function]\n# @BRIEF Trigger bulk column mapping for datasets\n# @PRE: User has permission plugin:mapper:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking mapping progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [MapperPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/map-columns\", response_model=TaskResponse)\nasync def map_columns(\n request: MapColumnsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:mapper\", \"EXECUTE\"))\n):\n with belief_scope(\"map_columns\", f\"env={request.env_id}, count={len(request.dataset_ids)}, source={request.source_type}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[map_columns][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate source type\n if request.source_type not in ['postgresql', 'xlsx']:\n logger.error(f\"[map_columns][Coherence:Failed] Invalid source type: {request.source_type}\")\n raise HTTPException(status_code=400, detail=\"Source type must be 'postgresql' or 'xlsx'\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[map_columns][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create mapping task\n task_params = {\n 'env': request.env_id,\n 'dataset_id': request.dataset_ids[0] if request.dataset_ids else None,\n 'source': request.source_type,\n 'connection_id': request.connection_id,\n 'file_data': request.file_data\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='dataset-mapper',\n params=task_params\n )\n\n logger.info(f\"[map_columns][Coherence:OK] Mapping task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[map_columns][Coherence:Failed] Failed to create mapping task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create mapping task: {e!s}\")\n# #endregion map_columns\n\n# #region GenerateDocsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating documentation generation\nclass GenerateDocsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to generate docs for\")\n llm_provider: str = Field(..., description=\"LLM provider to use\")\n options: dict | None = Field(None, description=\"Additional options for documentation generation\")\n# #endregion GenerateDocsRequest\n\n# #region generate_docs [C:4] [TYPE Function]\n# @BRIEF Trigger bulk documentation generation for datasets\n# @PRE: User has permission plugin:llm_analysis:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking documentation generation progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [DocumentationPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/generate-docs\", response_model=TaskResponse)\nasync def generate_docs(\n request: GenerateDocsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:llm_analysis\", \"EXECUTE\"))\n):\n with belief_scope(\"generate_docs\", f\"env={request.env_id}, count={len(request.dataset_ids)}, provider={request.llm_provider}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[generate_docs][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[generate_docs][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create documentation generation task\n task_params = {\n 'environment_id': request.env_id,\n 'dataset_id': str(request.dataset_ids[0]) if request.dataset_ids else None,\n 'provider_id': request.llm_provider,\n 'options': request.options or {}\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='llm_documentation',\n params=task_params\n )\n\n logger.info(f\"[generate_docs][Coherence:OK] Documentation generation task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[generate_docs][Coherence:Failed] Failed to create documentation generation task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create documentation generation task: {e!s}\")\n# #endregion generate_docs\n\n# #region get_dataset_detail [C:4] [TYPE Function]\n# @BRIEF Get detailed dataset information including columns and linked dashboards\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_id is a valid dataset ID\n# @POST: Returns detailed dataset info with columns and linked dashboards\n# @RELATION CALLS -> [SupersetClientGetDatasetDetail]\n@router.get(\"/{dataset_id}\", response_model=DatasetDetailResponse)\nasync def get_dataset_detail(\n env_id: str,\n dataset_id: int,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_dataset_detail\", f\"env_id={env_id}, dataset_id={dataset_id}\"):\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Fetch detailed dataset info using SupersetClient\n client = SupersetClient(env)\n dataset_detail = client.get_dataset_detail(dataset_id)\n\n # Normalize 'database' field: Superset returns an object, model expects a string\n if isinstance(dataset_detail.get(\"database\"), dict):\n db_obj = dataset_detail[\"database\"]\n dataset_detail[\"database\"] = db_obj.get(\"database_name\", str(db_obj.get(\"id\", \"\")))\n\n logger.info(f\"[get_dataset_detail][Coherence:OK] Retrieved dataset {dataset_id} with {dataset_detail['column_count']} columns and {dataset_detail['linked_dashboard_count']} linked dashboards\")\n\n return DatasetDetailResponse(**dataset_detail)\n\n except Exception as e:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Failed to fetch dataset detail: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch dataset detail: {e!s}\")\n# #endregion get_dataset_detail\n\n# #endregion DatasetsApi\n" + "body": "# #region DatasetsApi [C:5] [TYPE Module] [SEMANTICS fastapi, dataset, api, search, mapping, mapped-fields]\n#\n# @BRIEF API endpoints for the Dataset Hub - listing datasets with mapping progress\n# @LAYER: API\n# @RELATION DEPENDS_ON -> [AppDependencies]\n# @RELATION DEPENDS_ON -> [ResourceService]\n# @RELATION DEPENDS_ON -> [SupersetClient]\n#\n# @PRE SupersetClient is available; env_id is valid.\n# @POST Returns dataset metadata with mapping status.\n# @SIDE_EFFECT Reads from Superset API and task manager.\n# @DATA_CONTRACT Input -> DatasetQuery, Output -> DatasetsResponse, DatasetDetailResponse\n# @INVARIANT: All dataset responses include last_task metadata\n\n\nimport re\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query\nfrom pydantic import BaseModel, Field\n\nfrom ...core.logger import belief_scope, logger\nfrom ...core.superset_client import SupersetClient\nfrom ...dependencies import get_config_manager, get_resource_service, get_task_manager, has_permission\n\nrouter = APIRouter(prefix=\"/api/datasets\", tags=[\"Datasets\"])\n\n# #region MappedFields [C:1] [TYPE DataClass]\n# @BRIEF DTO for dataset mapping progress statistics\nclass MappedFields(BaseModel):\n total: int\n mapped: int\n# #endregion MappedFields\n\n# #region LastTask [C:1] [TYPE DataClass]\n# @BRIEF DTO for the most recent task associated with a dataset\nclass LastTask(BaseModel):\n task_id: str | None = None\n status: str | None = Field(None, pattern=\"^RUNNING|SUCCESS|ERROR|WAITING_INPUT$\")\n# #endregion LastTask\n\n# #region DatasetItem [C:1] [TYPE DataClass]\n# @BRIEF Summary DTO for a dataset in the hub listing\nclass DatasetItem(BaseModel):\n id: int\n table_name: str\n schema_name: str = Field(..., alias=\"schema\")\n database: str\n mapped_fields: MappedFields | None = None\n last_task: LastTask | None = None\n metric_count: int = 0\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetItem\n\n# #region LinkedDashboard [C:1] [TYPE DataClass]\n# @BRIEF DTO for a dashboard linked to a dataset\nclass LinkedDashboard(BaseModel):\n id: int\n title: str\n slug: str | None = None\n# #endregion LinkedDashboard\n\n# #region DatasetColumn [C:1] [TYPE DataClass]\n# @BRIEF DTO for a single dataset column's metadata\nclass DatasetColumn(BaseModel):\n id: int\n name: str\n type: str | None = None\n is_dttm: bool = False\n is_active: bool = True\n description: str | None = None\n# #endregion DatasetColumn\n\n# #region MetricItem [C:1] [TYPE DataClass]\n# @BRIEF Pydantic DTO for a dataset metric — carries Superset metric metadata.\n# @RELATION DEPENDS_ON -> [DatasetDetailResponse]\nclass MetricItem(BaseModel):\n id: int\n metric_name: str\n expression: str | None = None\n verbose_name: str | None = None\n description: str | None = None\n metric_type: str | None = None\n# #endregion MetricItem\n\n# #region DatasetDetailResponse [C:2] [TYPE DataClass]\n# @BRIEF Detailed DTO for a dataset including columns, linked dashboards, and metrics.\n# @RELATION DEPENDS_ON -> [MetricItem]\nclass DatasetDetailResponse(BaseModel):\n id: int\n table_name: str | None = None\n schema_name: str | None = Field(None, alias=\"schema\")\n database: str\n description: str | None = None\n columns: list[DatasetColumn]\n column_count: int\n metrics: list[MetricItem] = []\n metric_count: int = 0\n sql: str | None = None\n linked_dashboards: list[LinkedDashboard]\n linked_dashboard_count: int\n is_sqllab_view: bool = False\n created_on: str | None = None\n changed_on: str | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetDetailResponse\n\n# #region StatsCounts [C:1] [TYPE DataClass]\n# @BRIEF Aggregate statistics for the Stats Bar — computed from full dataset list.\nclass StatsCounts(BaseModel):\n total: int\n unmapped_count: int\n mapped_count: int\n linked_count: int\n# #endregion StatsCounts\n\n# #region DatasetsResponse [C:2] [TYPE DataClass]\n# @BRIEF Paginated response DTO for dataset listings with stats.\n# @RELATION DEPENDS_ON -> [StatsCounts]\nclass DatasetsResponse(BaseModel):\n datasets: list[DatasetItem]\n stats: StatsCounts\n total: int\n page: int\n page_size: int\n total_pages: int\n# #endregion DatasetsResponse\n\n# #region TaskResponse [C:1] [TYPE DataClass]\n# @BRIEF Response DTO containing a task ID for tracking\nclass TaskResponse(BaseModel):\n task_id: str\n# #endregion TaskResponse\n\n# #region ColumnDescriptionUpdate [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for inline-edit of a column description.\nclass ColumnDescriptionUpdate(BaseModel):\n description: str\n# #endregion ColumnDescriptionUpdate\n\n# #region MetricDescriptionUpdate [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for inline-edit of a metric description.\nclass MetricDescriptionUpdate(BaseModel):\n description: str\n# #endregion MetricDescriptionUpdate\n\n# #region get_dataset_ids [C:4] [TYPE Function]\n# @BRIEF Fetch list of all dataset IDs from a specific environment (without pagination)\n# @PRE: env_id must be a valid environment ID\n# @POST: Returns a list of all dataset IDs\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"/ids\")\nasync def get_dataset_ids(\n env_id: str,\n search: str | None = None,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_dataset_ids\", f\"env_id={env_id}, search={search}\"):\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_dataset_ids][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Extract and return just the IDs\n dataset_ids = [d['id'] for d in datasets]\n logger.info(f\"[get_dataset_ids][Coherence:OK] Returning {len(dataset_ids)} dataset IDs\")\n\n return {\"dataset_ids\": dataset_ids}\n\n except Exception as e:\n logger.error(f\"[get_dataset_ids][Coherence:Failed] Failed to fetch dataset IDs: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch dataset IDs: {e!s}\")\n# #endregion get_dataset_ids\n\n# #region get_datasets [C:4] [TYPE Function]\n# @BRIEF Fetch list of datasets from a specific environment with mapping progress and stats.\n# @PRE: env_id must be a valid environment ID\n# @PRE: page must be >= 1 if provided\n# @PRE: page_size must be between 1 and 100 if provided\n# @POST: Returns a list of datasets with enhanced metadata, pagination info, and StatsCounts.\n# @POST: Response includes pagination metadata (page, page_size, total, total_pages) and stats object.\n# @RATIONALE Stats counts returned in the same response as datasets to avoid an extra API call for the Stats Bar (FR-022).\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"\", response_model=DatasetsResponse)\nasync def get_datasets(\n env_id: str,\n search: str | None = None,\n filter: str | None = None,\n page: int = 1,\n page_size: int = 10,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_datasets\", f\"env_id={env_id}, search={search}, filter={filter}, page={page}, page_size={page_size}\"):\n # Validate pagination parameters\n if page < 1:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page: {page}\")\n raise HTTPException(status_code=400, detail=\"Page must be >= 1\")\n if page_size < 1 or page_size > 100:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page_size: {page_size}\")\n raise HTTPException(status_code=400, detail=\"Page size must be between 1 and 100\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_datasets][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Compute stats from full list BEFORE filtering/pagination\n total_datasets = len(datasets)\n unmapped = sum(\n 1 for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) == 0\n )\n mapped = sum(\n 1 for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) > 0\n )\n linked = sum(\n 1 for d in datasets\n if d.get(\"linked_dashboard_count\", 0) > 0\n )\n stats = StatsCounts(\n total=total_datasets,\n unmapped_count=unmapped,\n mapped_count=mapped,\n linked_count=linked,\n )\n\n # Apply server-side filter (before pagination) — FR-026\n if filter and filter in (\"unmapped\", \"mapped\", \"linked\"):\n if filter == \"unmapped\":\n datasets = [\n d for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) == 0\n ]\n elif filter == \"mapped\":\n datasets = [\n d for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) > 0\n ]\n elif filter == \"linked\":\n datasets = [\n d for d in datasets\n if d.get(\"linked_dashboard_count\", 0) > 0\n ]\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Calculate pagination\n total = len(datasets)\n total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n start_idx = (page - 1) * page_size\n end_idx = start_idx + page_size\n\n # Slice datasets for current page\n paginated_datasets = datasets[start_idx:end_idx]\n\n logger.info(f\"[get_datasets][Coherence:OK] Returning {len(paginated_datasets)} datasets (page {page}/{total_pages}, total: {total}, stats: total={stats.total} unmapped={stats.unmapped_count} mapped={stats.mapped_count} linked={stats.linked_count})\")\n\n return DatasetsResponse(\n datasets=paginated_datasets,\n stats=stats,\n total=total,\n page=page,\n page_size=page_size,\n total_pages=total_pages\n )\n\n except Exception as e:\n logger.error(f\"[get_datasets][Coherence:Failed] Failed to fetch datasets: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch datasets: {e!s}\")\n# #endregion get_datasets\n\n# #region MapColumnsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating column mapping\nclass MapColumnsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to map\")\n source_type: str = Field(..., description=\"Source type: 'sqllab' or 'xlsx'\")\n database_id: int | None = Field(None, description=\"Superset database ID for SQL Lab source\")\n sql_query: str | None = Field(None, description=\"Custom SQL query for SQL Lab (optional, defaults to information_schema.columns query)\")\n file_data: str | None = Field(None, description=\"File path or data for XLSX source\")\n# #endregion MapColumnsRequest\n\n# #region map_columns [C:4] [TYPE Function]\n# @BRIEF Trigger bulk column mapping for datasets\n# @PRE: User has permission plugin:mapper:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking mapping progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [MapperPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/map-columns\", response_model=TaskResponse)\nasync def map_columns(\n request: MapColumnsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:mapper\", \"EXECUTE\"))\n):\n with belief_scope(\"map_columns\", f\"env={request.env_id}, count={len(request.dataset_ids)}, source={request.source_type}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[map_columns][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate source type\n if request.source_type not in ['sqllab', 'xlsx']:\n logger.error(f\"[map_columns][Coherence:Failed] Invalid source type: {request.source_type}\")\n raise HTTPException(status_code=400, detail=\"Source type must be 'sqllab' or 'xlsx'\")\n\n # Validate database_id for sqllab source\n if request.source_type == 'sqllab' and not request.database_id:\n raise HTTPException(status_code=400, detail=\"database_id is required for 'sqllab' source type\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[map_columns][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create mapping task\n task_params = {\n 'env': request.env_id,\n 'dataset_id': request.dataset_ids[0] if request.dataset_ids else None,\n 'source': 'sqllab' if request.source_type == 'sqllab' else 'excel',\n 'database_id': request.database_id,\n 'sql_query': request.sql_query,\n 'file_data': request.file_data\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='dataset-mapper',\n params=task_params\n )\n\n logger.info(f\"[map_columns][Coherence:OK] Mapping task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[map_columns][Coherence:Failed] Failed to create mapping task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create mapping task: {e!s}\")\n# #endregion map_columns\n\n# #region GenerateDocsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating documentation generation\nclass GenerateDocsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to generate docs for\")\n llm_provider: str = Field(..., description=\"LLM provider to use\")\n options: dict | None = Field(None, description=\"Additional options for documentation generation\")\n# #endregion GenerateDocsRequest\n\n# #region generate_docs [C:4] [TYPE Function]\n# @BRIEF Trigger bulk documentation generation for datasets\n# @PRE: User has permission plugin:llm_analysis:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking documentation generation progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [DocumentationPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/generate-docs\", response_model=TaskResponse)\nasync def generate_docs(\n request: GenerateDocsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:llm_analysis\", \"EXECUTE\"))\n):\n with belief_scope(\"generate_docs\", f\"env={request.env_id}, count={len(request.dataset_ids)}, provider={request.llm_provider}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[generate_docs][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[generate_docs][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create documentation generation task\n task_params = {\n 'environment_id': request.env_id,\n 'dataset_id': str(request.dataset_ids[0]) if request.dataset_ids else None,\n 'provider_id': request.llm_provider,\n 'options': request.options or {}\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='llm_documentation',\n params=task_params\n )\n\n logger.info(f\"[generate_docs][Coherence:OK] Documentation generation task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[generate_docs][Coherence:Failed] Failed to create documentation generation task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create documentation generation task: {e!s}\")\n# #endregion generate_docs\n\n# #region get_dataset_detail [C:4] [TYPE Function]\n# @BRIEF Get detailed dataset information including columns and linked dashboards\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_id is a valid dataset ID\n# @POST: Returns detailed dataset info with columns and linked dashboards\n# @RELATION CALLS -> [SupersetClientGetDatasetDetail]\n@router.get(\"/{dataset_id}\", response_model=DatasetDetailResponse)\nasync def get_dataset_detail(\n env_id: str,\n dataset_id: int,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_dataset_detail\", f\"env_id={env_id}, dataset_id={dataset_id}\"):\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Fetch detailed dataset info using SupersetClient\n client = SupersetClient(env)\n dataset_detail = client.get_dataset_detail(dataset_id)\n\n # Normalize 'database' field: Superset returns an object, model expects a string\n if isinstance(dataset_detail.get(\"database\"), dict):\n db_obj = dataset_detail[\"database\"]\n dataset_detail[\"database\"] = db_obj.get(\"database_name\", str(db_obj.get(\"id\", \"\")))\n\n logger.info(f\"[get_dataset_detail][Coherence:OK] Retrieved dataset {dataset_id} with {dataset_detail['column_count']} columns and {dataset_detail['linked_dashboard_count']} linked dashboards\")\n\n return DatasetDetailResponse(**dataset_detail)\n\n except Exception as e:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Failed to fetch dataset detail: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch dataset detail: {e!s}\")\n# #endregion get_dataset_detail\n\n# #region _strip_html_tags [C:2] [TYPE Function] [SEMANTICS helper,validation,html]\n# @BRIEF Detect and strip HTML tags from a text string. Uses simple regex <[^>]*>.\n# If HTML is detected, strips tags and logs a warning. Returns cleaned text.\n# @REJECTED Reject-with-400 approach was rejected in favour of silent stripping — more user-friendly\n# and matches the UX expectation that inline-edited descriptions are plain text only.\ndef _strip_html_tags(text: str) -> str:\n if not text:\n return text\n if re.search(r\"<[^>]*>\", text):\n cleaned = re.sub(r\"<[^>]*>\", \"\", text)\n logger.warning(f\"[_strip_html_tags] HTML tags detected and stripped from description\")\n return cleaned\n return text\n# #endregion _strip_html_tags\n\n# #region update_column_description [C:4] [TYPE Endpoint]\n# @BRIEF Save description for a single dataset column. Internal: GET full dataset from Superset, modify one column's description, PUT back.\n# @PRE: dataset_id and column_id must exist in the target environment.\n# @POST: Column description in Superset is updated. Response confirms success.\n# @SIDE_EFFECT: Mutates dataset metadata in upstream Superset instance via PUT.\n# @VALIDATION: description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or column not found. 502 if Superset upstream fails.\n# @ERROR: 400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or column_id not found. 502 — Superset upstream failure (GET or PUT).\n# @RELATION CALLS -> [SupersetClient.get_dataset]\n# @RELATION CALLS -> [SupersetClient.update_dataset]\n# @RATIONALE Must perform GET→modify→PUT because Superset has no PATCH for individual columns — only full object PUT with override_columns=false.\n# @REJECTED Direct PUT from frontend — rejected because frontend would need to handle full Superset payload structure.\n@router.put(\"/{dataset_id}/columns/{column_id}/description\")\nasync def update_column_description(\n dataset_id: int,\n column_id: int,\n env_id: str = Query(..., description=\"Environment ID\"),\n body: ColumnDescriptionUpdate = ...,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"WRITE\"))\n):\n with belief_scope(\"update_column_description\", f\"dataset_id={dataset_id}, column_id={column_id}, env_id={env_id}\"):\n # Validate and sanitize description\n description = _strip_html_tags(body.description)\n if len(description) > 2000:\n logger.error(f\"[update_column_description][Coherence:Failed] Description exceeds 2000 chars: {len(description)}\")\n raise HTTPException(status_code=400, detail=\"Description must not exceed 2000 characters\")\n\n # Validate environment\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[update_column_description][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n client = SupersetClient(env)\n\n # GET full dataset\n logger.reason(\"Fetching full dataset from Superset for column description update\",\n extra={\"src\": \"update_column_description\"})\n try:\n response = client.get_dataset(dataset_id)\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Superset GET failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to fetch dataset from Superset: {e!s}\")\n\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n\n if not dataset or not dataset.get(\"id\"):\n logger.error(f\"[update_column_description][Coherence:Failed] Dataset {dataset_id} not found\")\n raise HTTPException(status_code=404, detail=f\"Dataset {dataset_id} not found\")\n\n # Find and modify the target column\n columns = dataset.get(\"columns\", [])\n found = False\n for col in columns:\n if col.get(\"id\") == column_id:\n col[\"description\"] = description\n found = True\n break\n\n if not found:\n logger.error(f\"[update_column_description][Coherence:Failed] Column {column_id} not found in dataset {dataset_id}\")\n raise HTTPException(status_code=404, detail=f\"Column {column_id} not found in dataset {dataset_id}\")\n\n # PUT back with override_columns=false\n put_payload = dataset\n try:\n client.update_dataset(dataset_id, put_payload, override_columns=False)\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Superset PUT failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to update dataset in Superset: {e!s}\")\n\n logger.reflect(\n f\"Updated column {column_id} description for dataset {dataset_id}\",\n extra={\"src\": \"update_column_description\"},\n )\n return {\"success\": True, \"description\": description}\n\n except HTTPException:\n raise\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Unexpected error: {e}\")\n raise HTTPException(status_code=500, detail=f\"Unexpected error: {e!s}\")\n# #endregion update_column_description\n\n# #region update_metric_description [C:4] [TYPE Endpoint]\n# @BRIEF Save description for a single dataset metric. Mirror of update_column_description for metrics.\n# @PRE: dataset_id and metric_id must exist in the target environment.\n# @POST: Metric description in Superset is updated.\n# @SIDE_EFFECT: Mutates dataset metadata in upstream Superset instance via PUT.\n# @VALIDATION: description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or metric not found. 502 if Superset upstream fails.\n# @ERROR: 400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or metric_id not found. 502 — Superset upstream failure (GET or PUT).\n# @RELATION CALLS -> [SupersetClient.get_dataset]\n# @RELATION CALLS -> [SupersetClient.update_dataset]\n@router.put(\"/{dataset_id}/metrics/{metric_id}/description\")\nasync def update_metric_description(\n dataset_id: int,\n metric_id: int,\n env_id: str = Query(..., description=\"Environment ID\"),\n body: MetricDescriptionUpdate = ...,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"WRITE\"))\n):\n with belief_scope(\"update_metric_description\", f\"dataset_id={dataset_id}, metric_id={metric_id}, env_id={env_id}\"):\n # Validate and sanitize description\n description = _strip_html_tags(body.description)\n if len(description) > 2000:\n logger.error(f\"[update_metric_description][Coherence:Failed] Description exceeds 2000 chars: {len(description)}\")\n raise HTTPException(status_code=400, detail=\"Description must not exceed 2000 characters\")\n\n # Validate environment\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[update_metric_description][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n client = SupersetClient(env)\n\n # GET full dataset\n logger.reason(\"Fetching full dataset from Superset for metric description update\",\n extra={\"src\": \"update_metric_description\"})\n try:\n response = client.get_dataset(dataset_id)\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Superset GET failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to fetch dataset from Superset: {e!s}\")\n\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n\n if not dataset or not dataset.get(\"id\"):\n logger.error(f\"[update_metric_description][Coherence:Failed] Dataset {dataset_id} not found\")\n raise HTTPException(status_code=404, detail=f\"Dataset {dataset_id} not found\")\n\n # Find and modify the target metric\n metrics = dataset.get(\"metrics\", [])\n found = False\n for metric in metrics:\n if metric.get(\"id\") == metric_id:\n metric[\"description\"] = description\n found = True\n break\n\n if not found:\n logger.error(f\"[update_metric_description][Coherence:Failed] Metric {metric_id} not found in dataset {dataset_id}\")\n raise HTTPException(status_code=404, detail=f\"Metric {metric_id} not found in dataset {dataset_id}\")\n\n # PUT back with override_columns=false\n try:\n client.update_dataset(dataset_id, dataset, override_columns=False)\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Superset PUT failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to update dataset in Superset: {e!s}\")\n\n logger.reflect(\n f\"Updated metric {metric_id} description for dataset {dataset_id}\",\n extra={\"src\": \"update_metric_description\"},\n )\n return {\"success\": True, \"description\": description}\n\n except HTTPException:\n raise\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Unexpected error: {e}\")\n raise HTTPException(status_code=500, detail=f\"Unexpected error: {e!s}\")\n# #endregion update_metric_description\n\n# #endregion DatasetsApi\n" }, { "contract_id": "MappedFields", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 25, - "end_line": 30, + "start_line": 27, + "end_line": 32, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10430,8 +10201,8 @@ "contract_id": "LastTask", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 32, - "end_line": 37, + "start_line": 34, + "end_line": 39, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10502,8 +10273,8 @@ "contract_id": "DatasetItem", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 39, - "end_line": 51, + "start_line": 41, + "end_line": 54, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10568,14 +10339,14 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetItem [C:1] [TYPE DataClass]\n# @BRIEF Summary DTO for a dataset in the hub listing\nclass DatasetItem(BaseModel):\n id: int\n table_name: str\n schema_name: str = Field(..., alias=\"schema\")\n database: str\n mapped_fields: MappedFields | None = None\n last_task: LastTask | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetItem\n" + "body": "# #region DatasetItem [C:1] [TYPE DataClass]\n# @BRIEF Summary DTO for a dataset in the hub listing\nclass DatasetItem(BaseModel):\n id: int\n table_name: str\n schema_name: str = Field(..., alias=\"schema\")\n database: str\n mapped_fields: MappedFields | None = None\n last_task: LastTask | None = None\n metric_count: int = 0\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetItem\n" }, { "contract_id": "LinkedDashboard", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 53, - "end_line": 59, + "start_line": 56, + "end_line": 62, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10646,8 +10417,8 @@ "contract_id": "DatasetColumn", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 61, - "end_line": 70, + "start_line": 64, + "end_line": 73, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10715,16 +10486,192 @@ "body": "# #region DatasetColumn [C:1] [TYPE DataClass]\n# @BRIEF DTO for a single dataset column's metadata\nclass DatasetColumn(BaseModel):\n id: int\n name: str\n type: str | None = None\n is_dttm: bool = False\n is_active: bool = True\n description: str | None = None\n# #endregion DatasetColumn\n" }, { - "contract_id": "DatasetDetailResponse", + "contract_id": "MetricItem", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 72, - "end_line": 91, + "start_line": 75, + "end_line": 85, "tier": "TIER_1", "complexity": 1, "metadata": { "COMPLEXITY": 1, - "PURPOSE": "Detailed DTO for a dataset including columns and links" + "PURPOSE": "Pydantic DTO for a dataset metric — carries Superset metric metadata." + }, + "relations": [ + { + "source_id": "MetricItem", + "relation_type": "DEPENDS_ON", + "target_id": "DatasetDetailResponse", + "target_ref": "[DatasetDetailResponse]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RELATION", + "message": "@RELATION is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region MetricItem [C:1] [TYPE DataClass]\n# @BRIEF Pydantic DTO for a dataset metric — carries Superset metric metadata.\n# @RELATION DEPENDS_ON -> [DatasetDetailResponse]\nclass MetricItem(BaseModel):\n id: int\n metric_name: str\n expression: str | None = None\n verbose_name: str | None = None\n description: str | None = None\n metric_type: str | None = None\n# #endregion MetricItem\n" + }, + { + "contract_id": "DatasetDetailResponse", + "contract_type": "DataClass", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 87, + "end_line": 109, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Detailed DTO for a dataset including columns, linked dashboards, and metrics." + }, + "relations": [ + { + "source_id": "DatasetDetailResponse", + "relation_type": "DEPENDS_ON", + "target_id": "MetricItem", + "target_ref": "[MetricItem]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C2", + "detail": { + "actual_complexity": 2, + "contract_type": "DataClass" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'DataClass' at C2", + "detail": { + "actual_complexity": 2, + "contract_type": "DataClass" + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RELATION", + "message": "@RELATION is forbidden for contract type 'DataClass' at C2", + "detail": { + "actual_complexity": 2, + "contract_type": "DataClass" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region DatasetDetailResponse [C:2] [TYPE DataClass]\n# @BRIEF Detailed DTO for a dataset including columns, linked dashboards, and metrics.\n# @RELATION DEPENDS_ON -> [MetricItem]\nclass DatasetDetailResponse(BaseModel):\n id: int\n table_name: str | None = None\n schema_name: str | None = Field(None, alias=\"schema\")\n database: str\n description: str | None = None\n columns: list[DatasetColumn]\n column_count: int\n metrics: list[MetricItem] = []\n metric_count: int = 0\n sql: str | None = None\n linked_dashboards: list[LinkedDashboard]\n linked_dashboard_count: int\n is_sqllab_view: bool = False\n created_on: str | None = None\n changed_on: str | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetDetailResponse\n" + }, + { + "contract_id": "StatsCounts", + "contract_type": "DataClass", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 111, + "end_line": 118, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Aggregate statistics for the Stats Bar — computed from full dataset list." }, "relations": [], "schema_warnings": [ @@ -10784,21 +10731,28 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetDetailResponse [C:1] [TYPE DataClass]\n# @BRIEF Detailed DTO for a dataset including columns and links\nclass DatasetDetailResponse(BaseModel):\n id: int\n table_name: str | None = None\n schema_name: str | None = Field(None, alias=\"schema\")\n database: str\n description: str | None = None\n columns: list[DatasetColumn]\n column_count: int\n sql: str | None = None\n linked_dashboards: list[LinkedDashboard]\n linked_dashboard_count: int\n is_sqllab_view: bool = False\n created_on: str | None = None\n changed_on: str | None = None\n\n class Config:\n allow_population_by_field_name = True\n# #endregion DatasetDetailResponse\n" + "body": "# #region StatsCounts [C:1] [TYPE DataClass]\n# @BRIEF Aggregate statistics for the Stats Bar — computed from full dataset list.\nclass StatsCounts(BaseModel):\n total: int\n unmapped_count: int\n mapped_count: int\n linked_count: int\n# #endregion StatsCounts\n" }, { "contract_id": "DatasetsResponse", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 93, - "end_line": 101, + "start_line": 120, + "end_line": 130, "tier": "TIER_1", - "complexity": 1, + "complexity": 2, "metadata": { - "COMPLEXITY": 1, - "PURPOSE": "Paginated response DTO for dataset listings" + "COMPLEXITY": 2, + "PURPOSE": "Paginated response DTO for dataset listings with stats." }, - "relations": [], + "relations": [ + { + "source_id": "DatasetsResponse", + "relation_type": "DEPENDS_ON", + "target_id": "StatsCounts", + "target_ref": "[StatsCounts]" + } + ], "schema_warnings": [ { "code": "tag_not_for_contract_type", @@ -10820,9 +10774,9 @@ { "code": "tag_forbidden_by_complexity", "tag": "COMPLEXITY", - "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C1", + "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C2", "detail": { - "actual_complexity": 1, + "actual_complexity": 2, "contract_type": "DataClass" } }, @@ -10847,23 +10801,32 @@ { "code": "tag_forbidden_by_complexity", "tag": "PURPOSE", - "message": "@PURPOSE is forbidden for contract type 'DataClass' at C1", + "message": "@PURPOSE is forbidden for contract type 'DataClass' at C2", "detail": { - "actual_complexity": 1, + "actual_complexity": 2, + "contract_type": "DataClass" + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RELATION", + "message": "@RELATION is forbidden for contract type 'DataClass' at C2", + "detail": { + "actual_complexity": 2, "contract_type": "DataClass" } } ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetsResponse [C:1] [TYPE DataClass]\n# @BRIEF Paginated response DTO for dataset listings\nclass DatasetsResponse(BaseModel):\n datasets: list[DatasetItem]\n total: int\n page: int\n page_size: int\n total_pages: int\n# #endregion DatasetsResponse\n" + "body": "# #region DatasetsResponse [C:2] [TYPE DataClass]\n# @BRIEF Paginated response DTO for dataset listings with stats.\n# @RELATION DEPENDS_ON -> [StatsCounts]\nclass DatasetsResponse(BaseModel):\n datasets: list[DatasetItem]\n stats: StatsCounts\n total: int\n page: int\n page_size: int\n total_pages: int\n# #endregion DatasetsResponse\n" }, { "contract_id": "TaskResponse", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 103, - "end_line": 107, + "start_line": 132, + "end_line": 136, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -10930,12 +10893,156 @@ "tier_source": "AutoCalculated", "body": "# #region TaskResponse [C:1] [TYPE DataClass]\n# @BRIEF Response DTO containing a task ID for tracking\nclass TaskResponse(BaseModel):\n task_id: str\n# #endregion TaskResponse\n" }, + { + "contract_id": "ColumnDescriptionUpdate", + "contract_type": "DataClass", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 138, + "end_line": 142, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Request DTO for inline-edit of a column description." + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ColumnDescriptionUpdate [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for inline-edit of a column description.\nclass ColumnDescriptionUpdate(BaseModel):\n description: str\n# #endregion ColumnDescriptionUpdate\n" + }, + { + "contract_id": "MetricDescriptionUpdate", + "contract_type": "DataClass", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 144, + "end_line": 148, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Request DTO for inline-edit of a metric description." + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'DataClass'", + "detail": { + "actual_type": "DataClass", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'DataClass' at C1", + "detail": { + "actual_complexity": 1, + "contract_type": "DataClass" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region MetricDescriptionUpdate [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for inline-edit of a metric description.\nclass MetricDescriptionUpdate(BaseModel):\n description: str\n# #endregion MetricDescriptionUpdate\n" + }, { "contract_id": "get_dataset_ids", "contract_type": "Function", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 109, - "end_line": 155, + "start_line": 150, + "end_line": 196, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -10961,15 +11068,16 @@ "contract_id": "get_datasets", "contract_type": "Function", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 157, - "end_line": 229, + "start_line": 198, + "end_line": 312, "tier": "TIER_2", "complexity": 4, "metadata": { "COMPLEXITY": 4, - "POST": "Response includes pagination metadata (page, page_size, total, total_pages)", + "POST": "Response includes pagination metadata (page, page_size, total, total_pages) and stats object.", "PRE": "page_size must be between 1 and 100 if provided", - "PURPOSE": "Fetch list of datasets from a specific environment with mapping progress" + "PURPOSE": "Fetch list of datasets from a specific environment with mapping progress and stats.", + "RATIONALE": "Stats counts returned in the same response as datasets to avoid an extra API call for the Stats Bar (FR-022)." }, "relations": [ { @@ -10982,14 +11090,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region get_datasets [C:4] [TYPE Function]\n# @BRIEF Fetch list of datasets from a specific environment with mapping progress\n# @PRE: env_id must be a valid environment ID\n# @PRE: page must be >= 1 if provided\n# @PRE: page_size must be between 1 and 100 if provided\n# @POST: Returns a list of datasets with enhanced metadata and pagination info\n# @POST: Response includes pagination metadata (page, page_size, total, total_pages)\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"\", response_model=DatasetsResponse)\nasync def get_datasets(\n env_id: str,\n search: str | None = None,\n page: int = 1,\n page_size: int = 10,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_datasets\", f\"env_id={env_id}, search={search}, page={page}, page_size={page_size}\"):\n # Validate pagination parameters\n if page < 1:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page: {page}\")\n raise HTTPException(status_code=400, detail=\"Page must be >= 1\")\n if page_size < 1 or page_size > 100:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page_size: {page_size}\")\n raise HTTPException(status_code=400, detail=\"Page size must be between 1 and 100\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_datasets][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Calculate pagination\n total = len(datasets)\n total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n start_idx = (page - 1) * page_size\n end_idx = start_idx + page_size\n\n # Slice datasets for current page\n paginated_datasets = datasets[start_idx:end_idx]\n\n logger.info(f\"[get_datasets][Coherence:OK] Returning {len(paginated_datasets)} datasets (page {page}/{total_pages}, total: {total})\")\n\n return DatasetsResponse(\n datasets=paginated_datasets,\n total=total,\n page=page,\n page_size=page_size,\n total_pages=total_pages\n )\n\n except Exception as e:\n logger.error(f\"[get_datasets][Coherence:Failed] Failed to fetch datasets: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch datasets: {e!s}\")\n# #endregion get_datasets\n" + "body": "# #region get_datasets [C:4] [TYPE Function]\n# @BRIEF Fetch list of datasets from a specific environment with mapping progress and stats.\n# @PRE: env_id must be a valid environment ID\n# @PRE: page must be >= 1 if provided\n# @PRE: page_size must be between 1 and 100 if provided\n# @POST: Returns a list of datasets with enhanced metadata, pagination info, and StatsCounts.\n# @POST: Response includes pagination metadata (page, page_size, total, total_pages) and stats object.\n# @RATIONALE Stats counts returned in the same response as datasets to avoid an extra API call for the Stats Bar (FR-022).\n# @RELATION CALLS -> [get_datasets_with_status]\n@router.get(\"\", response_model=DatasetsResponse)\nasync def get_datasets(\n env_id: str,\n search: str | None = None,\n filter: str | None = None,\n page: int = 1,\n page_size: int = 10,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n resource_service=Depends(get_resource_service),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_datasets\", f\"env_id={env_id}, search={search}, filter={filter}, page={page}, page_size={page_size}\"):\n # Validate pagination parameters\n if page < 1:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page: {page}\")\n raise HTTPException(status_code=400, detail=\"Page must be >= 1\")\n if page_size < 1 or page_size > 100:\n logger.error(f\"[get_datasets][Coherence:Failed] Invalid page_size: {page_size}\")\n raise HTTPException(status_code=400, detail=\"Page size must be between 1 and 100\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_datasets][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Get all tasks for status lookup\n all_tasks = task_manager.get_all_tasks()\n\n # Fetch datasets with status using ResourceService\n datasets = await resource_service.get_datasets_with_status(env, all_tasks)\n\n # Compute stats from full list BEFORE filtering/pagination\n total_datasets = len(datasets)\n unmapped = sum(\n 1 for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) == 0\n )\n mapped = sum(\n 1 for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) > 0\n )\n linked = sum(\n 1 for d in datasets\n if d.get(\"linked_dashboard_count\", 0) > 0\n )\n stats = StatsCounts(\n total=total_datasets,\n unmapped_count=unmapped,\n mapped_count=mapped,\n linked_count=linked,\n )\n\n # Apply server-side filter (before pagination) — FR-026\n if filter and filter in (\"unmapped\", \"mapped\", \"linked\"):\n if filter == \"unmapped\":\n datasets = [\n d for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) == 0\n ]\n elif filter == \"mapped\":\n datasets = [\n d for d in datasets\n if d.get(\"mapped_fields\") and d[\"mapped_fields\"].get(\"mapped\", 0) > 0\n ]\n elif filter == \"linked\":\n datasets = [\n d for d in datasets\n if d.get(\"linked_dashboard_count\", 0) > 0\n ]\n\n # Apply search filter if provided\n if search:\n search_lower = search.lower()\n datasets = [\n d for d in datasets\n if search_lower in d.get('table_name', '').lower()\n ]\n\n # Calculate pagination\n total = len(datasets)\n total_pages = (total + page_size - 1) // page_size if total > 0 else 1\n start_idx = (page - 1) * page_size\n end_idx = start_idx + page_size\n\n # Slice datasets for current page\n paginated_datasets = datasets[start_idx:end_idx]\n\n logger.info(f\"[get_datasets][Coherence:OK] Returning {len(paginated_datasets)} datasets (page {page}/{total_pages}, total: {total}, stats: total={stats.total} unmapped={stats.unmapped_count} mapped={stats.mapped_count} linked={stats.linked_count})\")\n\n return DatasetsResponse(\n datasets=paginated_datasets,\n stats=stats,\n total=total,\n page=page,\n page_size=page_size,\n total_pages=total_pages\n )\n\n except Exception as e:\n logger.error(f\"[get_datasets][Coherence:Failed] Failed to fetch datasets: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch datasets: {e!s}\")\n# #endregion get_datasets\n" }, { "contract_id": "MapColumnsRequest", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 231, - "end_line": 239, + "start_line": 314, + "end_line": 323, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -11054,14 +11162,14 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region MapColumnsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating column mapping\nclass MapColumnsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to map\")\n source_type: str = Field(..., description=\"Source type: 'postgresql' or 'xlsx'\")\n connection_id: str | None = Field(None, description=\"Connection ID for PostgreSQL source\")\n file_data: str | None = Field(None, description=\"File path or data for XLSX source\")\n# #endregion MapColumnsRequest\n" + "body": "# #region MapColumnsRequest [C:1] [TYPE DataClass]\n# @BRIEF Request DTO for initiating column mapping\nclass MapColumnsRequest(BaseModel):\n env_id: str = Field(..., description=\"Environment ID\")\n dataset_ids: list[int] = Field(..., description=\"List of dataset IDs to map\")\n source_type: str = Field(..., description=\"Source type: 'sqllab' or 'xlsx'\")\n database_id: int | None = Field(None, description=\"Superset database ID for SQL Lab source\")\n sql_query: str | None = Field(None, description=\"Custom SQL query for SQL Lab (optional, defaults to information_schema.columns query)\")\n file_data: str | None = Field(None, description=\"File path or data for XLSX source\")\n# #endregion MapColumnsRequest\n" }, { "contract_id": "map_columns", "contract_type": "Function", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 241, - "end_line": 298, + "start_line": 325, + "end_line": 387, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -11087,14 +11195,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region map_columns [C:4] [TYPE Function]\n# @BRIEF Trigger bulk column mapping for datasets\n# @PRE: User has permission plugin:mapper:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking mapping progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [MapperPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/map-columns\", response_model=TaskResponse)\nasync def map_columns(\n request: MapColumnsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:mapper\", \"EXECUTE\"))\n):\n with belief_scope(\"map_columns\", f\"env={request.env_id}, count={len(request.dataset_ids)}, source={request.source_type}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[map_columns][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate source type\n if request.source_type not in ['postgresql', 'xlsx']:\n logger.error(f\"[map_columns][Coherence:Failed] Invalid source type: {request.source_type}\")\n raise HTTPException(status_code=400, detail=\"Source type must be 'postgresql' or 'xlsx'\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[map_columns][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create mapping task\n task_params = {\n 'env': request.env_id,\n 'dataset_id': request.dataset_ids[0] if request.dataset_ids else None,\n 'source': request.source_type,\n 'connection_id': request.connection_id,\n 'file_data': request.file_data\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='dataset-mapper',\n params=task_params\n )\n\n logger.info(f\"[map_columns][Coherence:OK] Mapping task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[map_columns][Coherence:Failed] Failed to create mapping task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create mapping task: {e!s}\")\n# #endregion map_columns\n" + "body": "# #region map_columns [C:4] [TYPE Function]\n# @BRIEF Trigger bulk column mapping for datasets\n# @PRE: User has permission plugin:mapper:execute\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_ids is a non-empty list\n# @POST: Returns task_id for tracking mapping progress\n# @POST: Task is created and queued for execution\n# @RELATION DISPATCHES -> [MapperPlugin]\n# @RELATION CALLS -> [create_task]\n@router.post(\"/map-columns\", response_model=TaskResponse)\nasync def map_columns(\n request: MapColumnsRequest,\n config_manager=Depends(get_config_manager),\n task_manager=Depends(get_task_manager),\n _ = Depends(has_permission(\"plugin:mapper\", \"EXECUTE\"))\n):\n with belief_scope(\"map_columns\", f\"env={request.env_id}, count={len(request.dataset_ids)}, source={request.source_type}\"):\n # Validate request\n if not request.dataset_ids:\n logger.error(\"[map_columns][Coherence:Failed] No dataset IDs provided\")\n raise HTTPException(status_code=400, detail=\"At least one dataset ID must be provided\")\n\n # Validate source type\n if request.source_type not in ['sqllab', 'xlsx']:\n logger.error(f\"[map_columns][Coherence:Failed] Invalid source type: {request.source_type}\")\n raise HTTPException(status_code=400, detail=\"Source type must be 'sqllab' or 'xlsx'\")\n\n # Validate database_id for sqllab source\n if request.source_type == 'sqllab' and not request.database_id:\n raise HTTPException(status_code=400, detail=\"database_id is required for 'sqllab' source type\")\n\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == request.env_id), None)\n\n if not env:\n logger.error(f\"[map_columns][Coherence:Failed] Environment not found: {request.env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Create mapping task\n task_params = {\n 'env': request.env_id,\n 'dataset_id': request.dataset_ids[0] if request.dataset_ids else None,\n 'source': 'sqllab' if request.source_type == 'sqllab' else 'excel',\n 'database_id': request.database_id,\n 'sql_query': request.sql_query,\n 'file_data': request.file_data\n }\n\n task_obj = await task_manager.create_task(\n plugin_id='dataset-mapper',\n params=task_params\n )\n\n logger.info(f\"[map_columns][Coherence:OK] Mapping task created: {task_obj.id} for {len(request.dataset_ids)} datasets\")\n\n return TaskResponse(task_id=str(task_obj.id))\n\n except Exception as e:\n logger.error(f\"[map_columns][Coherence:Failed] Failed to create mapping task: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to create mapping task: {e!s}\")\n# #endregion map_columns\n" }, { "contract_id": "GenerateDocsRequest", "contract_type": "DataClass", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 300, - "end_line": 307, + "start_line": 389, + "end_line": 396, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -11165,8 +11273,8 @@ "contract_id": "generate_docs", "contract_type": "Function", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 309, - "end_line": 360, + "start_line": 398, + "end_line": 449, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -11198,8 +11306,8 @@ "contract_id": "get_dataset_detail", "contract_type": "Function", "file_path": "backend/src/api/routes/datasets.py", - "start_line": 362, - "end_line": 400, + "start_line": 451, + "end_line": 489, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -11221,6 +11329,482 @@ "tier_source": "AutoCalculated", "body": "# #region get_dataset_detail [C:4] [TYPE Function]\n# @BRIEF Get detailed dataset information including columns and linked dashboards\n# @PRE: env_id is a valid environment ID\n# @PRE: dataset_id is a valid dataset ID\n# @POST: Returns detailed dataset info with columns and linked dashboards\n# @RELATION CALLS -> [SupersetClientGetDatasetDetail]\n@router.get(\"/{dataset_id}\", response_model=DatasetDetailResponse)\nasync def get_dataset_detail(\n env_id: str,\n dataset_id: int,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"READ\"))\n):\n with belief_scope(\"get_dataset_detail\", f\"env_id={env_id}, dataset_id={dataset_id}\"):\n # Validate environment exists\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n # Fetch detailed dataset info using SupersetClient\n client = SupersetClient(env)\n dataset_detail = client.get_dataset_detail(dataset_id)\n\n # Normalize 'database' field: Superset returns an object, model expects a string\n if isinstance(dataset_detail.get(\"database\"), dict):\n db_obj = dataset_detail[\"database\"]\n dataset_detail[\"database\"] = db_obj.get(\"database_name\", str(db_obj.get(\"id\", \"\")))\n\n logger.info(f\"[get_dataset_detail][Coherence:OK] Retrieved dataset {dataset_id} with {dataset_detail['column_count']} columns and {dataset_detail['linked_dashboard_count']} linked dashboards\")\n\n return DatasetDetailResponse(**dataset_detail)\n\n except Exception as e:\n logger.error(f\"[get_dataset_detail][Coherence:Failed] Failed to fetch dataset detail: {e}\")\n raise HTTPException(status_code=503, detail=f\"Failed to fetch dataset detail: {e!s}\")\n# #endregion get_dataset_detail\n" }, + { + "contract_id": "_strip_html_tags", + "contract_type": "Function", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 491, + "end_line": 504, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Detect and strip HTML tags from a text string. Uses simple regex <[^>]*>." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region _strip_html_tags [C:2] [TYPE Function] [SEMANTICS helper,validation,html]\n# @BRIEF Detect and strip HTML tags from a text string. Uses simple regex <[^>]*>.\n# If HTML is detected, strips tags and logs a warning. Returns cleaned text.\n# @REJECTED Reject-with-400 approach was rejected in favour of silent stripping — more user-friendly\n# and matches the UX expectation that inline-edited descriptions are plain text only.\ndef _strip_html_tags(text: str) -> str:\n if not text:\n return text\n if re.search(r\"<[^>]*>\", text):\n cleaned = re.sub(r\"<[^>]*>\", \"\", text)\n logger.warning(f\"[_strip_html_tags] HTML tags detected and stripped from description\")\n return cleaned\n return text\n# #endregion _strip_html_tags\n" + }, + { + "contract_id": "update_column_description", + "contract_type": "Endpoint", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 506, + "end_line": 593, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "ERROR": "400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or column_id not found. 502 — Superset upstream failure (GET or PUT).", + "POST": "Column description in Superset is updated. Response confirms success.", + "PRE": "dataset_id and column_id must exist in the target environment.", + "PURPOSE": "Save description for a single dataset column. Internal: GET full dataset from Superset, modify one column's description, PUT back.", + "RATIONALE": "Must perform GET→modify→PUT because Superset has no PATCH for individual columns — only full object PUT with override_columns=false.", + "REJECTED": "Direct PUT from frontend — rejected because frontend would need to handle full Superset payload structure.", + "SIDE_EFFECT": "Mutates dataset metadata in upstream Superset instance via PUT.", + "VALIDATION": "description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or column not found. 502 if Superset upstream fails." + }, + "relations": [ + { + "source_id": "update_column_description", + "relation_type": "CALLS", + "target_id": "SupersetClient.get_dataset", + "target_ref": "[SupersetClient.get_dataset]" + }, + { + "source_id": "update_column_description", + "relation_type": "CALLS", + "target_id": "SupersetClient.update_dataset", + "target_ref": "[SupersetClient.update_dataset]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "ERROR", + "message": "@ERROR is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "ERROR", + "message": "@ERROR is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "POST", + "message": "@POST is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "POST", + "message": "@POST is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PRE", + "message": "@PRE is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PRE", + "message": "@PRE is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "RATIONALE", + "message": "@RATIONALE is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RATIONALE", + "message": "@RATIONALE is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "REJECTED", + "message": "@REJECTED is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "REJECTED", + "message": "@REJECTED is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "SIDE_EFFECT", + "message": "@SIDE_EFFECT is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "SIDE_EFFECT", + "message": "@SIDE_EFFECT is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "unknown_tag", + "tag": "VALIDATION", + "message": "@VALIDATION is not defined in axiom_config.yaml tags", + "detail": null + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RELATION", + "message": "@RELATION is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region update_column_description [C:4] [TYPE Endpoint]\n# @BRIEF Save description for a single dataset column. Internal: GET full dataset from Superset, modify one column's description, PUT back.\n# @PRE: dataset_id and column_id must exist in the target environment.\n# @POST: Column description in Superset is updated. Response confirms success.\n# @SIDE_EFFECT: Mutates dataset metadata in upstream Superset instance via PUT.\n# @VALIDATION: description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or column not found. 502 if Superset upstream fails.\n# @ERROR: 400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or column_id not found. 502 — Superset upstream failure (GET or PUT).\n# @RELATION CALLS -> [SupersetClient.get_dataset]\n# @RELATION CALLS -> [SupersetClient.update_dataset]\n# @RATIONALE Must perform GET→modify→PUT because Superset has no PATCH for individual columns — only full object PUT with override_columns=false.\n# @REJECTED Direct PUT from frontend — rejected because frontend would need to handle full Superset payload structure.\n@router.put(\"/{dataset_id}/columns/{column_id}/description\")\nasync def update_column_description(\n dataset_id: int,\n column_id: int,\n env_id: str = Query(..., description=\"Environment ID\"),\n body: ColumnDescriptionUpdate = ...,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"WRITE\"))\n):\n with belief_scope(\"update_column_description\", f\"dataset_id={dataset_id}, column_id={column_id}, env_id={env_id}\"):\n # Validate and sanitize description\n description = _strip_html_tags(body.description)\n if len(description) > 2000:\n logger.error(f\"[update_column_description][Coherence:Failed] Description exceeds 2000 chars: {len(description)}\")\n raise HTTPException(status_code=400, detail=\"Description must not exceed 2000 characters\")\n\n # Validate environment\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[update_column_description][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n client = SupersetClient(env)\n\n # GET full dataset\n logger.reason(\"Fetching full dataset from Superset for column description update\",\n extra={\"src\": \"update_column_description\"})\n try:\n response = client.get_dataset(dataset_id)\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Superset GET failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to fetch dataset from Superset: {e!s}\")\n\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n\n if not dataset or not dataset.get(\"id\"):\n logger.error(f\"[update_column_description][Coherence:Failed] Dataset {dataset_id} not found\")\n raise HTTPException(status_code=404, detail=f\"Dataset {dataset_id} not found\")\n\n # Find and modify the target column\n columns = dataset.get(\"columns\", [])\n found = False\n for col in columns:\n if col.get(\"id\") == column_id:\n col[\"description\"] = description\n found = True\n break\n\n if not found:\n logger.error(f\"[update_column_description][Coherence:Failed] Column {column_id} not found in dataset {dataset_id}\")\n raise HTTPException(status_code=404, detail=f\"Column {column_id} not found in dataset {dataset_id}\")\n\n # PUT back with override_columns=false\n put_payload = dataset\n try:\n client.update_dataset(dataset_id, put_payload, override_columns=False)\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Superset PUT failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to update dataset in Superset: {e!s}\")\n\n logger.reflect(\n f\"Updated column {column_id} description for dataset {dataset_id}\",\n extra={\"src\": \"update_column_description\"},\n )\n return {\"success\": True, \"description\": description}\n\n except HTTPException:\n raise\n except Exception as e:\n logger.error(f\"[update_column_description][Coherence:Failed] Unexpected error: {e}\")\n raise HTTPException(status_code=500, detail=f\"Unexpected error: {e!s}\")\n# #endregion update_column_description\n" + }, + { + "contract_id": "update_metric_description", + "contract_type": "Endpoint", + "file_path": "backend/src/api/routes/datasets.py", + "start_line": 595, + "end_line": 679, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "ERROR": "400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or metric_id not found. 502 — Superset upstream failure (GET or PUT).", + "POST": "Metric description in Superset is updated.", + "PRE": "dataset_id and metric_id must exist in the target environment.", + "PURPOSE": "Save description for a single dataset metric. Mirror of update_column_description for metrics.", + "SIDE_EFFECT": "Mutates dataset metadata in upstream Superset instance via PUT.", + "VALIDATION": "description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or metric not found. 502 if Superset upstream fails." + }, + "relations": [ + { + "source_id": "update_metric_description", + "relation_type": "CALLS", + "target_id": "SupersetClient.get_dataset", + "target_ref": "[SupersetClient.get_dataset]" + }, + { + "source_id": "update_metric_description", + "relation_type": "CALLS", + "target_id": "SupersetClient.update_dataset", + "target_ref": "[SupersetClient.update_dataset]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "ERROR", + "message": "@ERROR is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "ERROR", + "message": "@ERROR is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "POST", + "message": "@POST is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "POST", + "message": "@POST is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PRE", + "message": "@PRE is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PRE", + "message": "@PRE is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "SIDE_EFFECT", + "message": "@SIDE_EFFECT is not allowed for contract type 'Endpoint'", + "detail": { + "actual_type": "Endpoint", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "SIDE_EFFECT", + "message": "@SIDE_EFFECT is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + }, + { + "code": "unknown_tag", + "tag": "VALIDATION", + "message": "@VALIDATION is not defined in axiom_config.yaml tags", + "detail": null + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RELATION", + "message": "@RELATION is forbidden for contract type 'Endpoint' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Endpoint" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region update_metric_description [C:4] [TYPE Endpoint]\n# @BRIEF Save description for a single dataset metric. Mirror of update_column_description for metrics.\n# @PRE: dataset_id and metric_id must exist in the target environment.\n# @POST: Metric description in Superset is updated.\n# @SIDE_EFFECT: Mutates dataset metadata in upstream Superset instance via PUT.\n# @VALIDATION: description — string, max 2000 chars, plain text only (HTML stripped), may be empty string to clear description, no trimming applied. 404 if dataset or metric not found. 502 if Superset upstream fails.\n# @ERROR: 400 — description exceeds max length or contains non-plaintext content. 404 — dataset_id or metric_id not found. 502 — Superset upstream failure (GET or PUT).\n# @RELATION CALLS -> [SupersetClient.get_dataset]\n# @RELATION CALLS -> [SupersetClient.update_dataset]\n@router.put(\"/{dataset_id}/metrics/{metric_id}/description\")\nasync def update_metric_description(\n dataset_id: int,\n metric_id: int,\n env_id: str = Query(..., description=\"Environment ID\"),\n body: MetricDescriptionUpdate = ...,\n config_manager=Depends(get_config_manager),\n _ = Depends(has_permission(\"plugin:migration\", \"WRITE\"))\n):\n with belief_scope(\"update_metric_description\", f\"dataset_id={dataset_id}, metric_id={metric_id}, env_id={env_id}\"):\n # Validate and sanitize description\n description = _strip_html_tags(body.description)\n if len(description) > 2000:\n logger.error(f\"[update_metric_description][Coherence:Failed] Description exceeds 2000 chars: {len(description)}\")\n raise HTTPException(status_code=400, detail=\"Description must not exceed 2000 characters\")\n\n # Validate environment\n environments = config_manager.get_environments()\n env = next((e for e in environments if e.id == env_id), None)\n if not env:\n logger.error(f\"[update_metric_description][Coherence:Failed] Environment not found: {env_id}\")\n raise HTTPException(status_code=404, detail=\"Environment not found\")\n\n try:\n client = SupersetClient(env)\n\n # GET full dataset\n logger.reason(\"Fetching full dataset from Superset for metric description update\",\n extra={\"src\": \"update_metric_description\"})\n try:\n response = client.get_dataset(dataset_id)\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Superset GET failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to fetch dataset from Superset: {e!s}\")\n\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n\n if not dataset or not dataset.get(\"id\"):\n logger.error(f\"[update_metric_description][Coherence:Failed] Dataset {dataset_id} not found\")\n raise HTTPException(status_code=404, detail=f\"Dataset {dataset_id} not found\")\n\n # Find and modify the target metric\n metrics = dataset.get(\"metrics\", [])\n found = False\n for metric in metrics:\n if metric.get(\"id\") == metric_id:\n metric[\"description\"] = description\n found = True\n break\n\n if not found:\n logger.error(f\"[update_metric_description][Coherence:Failed] Metric {metric_id} not found in dataset {dataset_id}\")\n raise HTTPException(status_code=404, detail=f\"Metric {metric_id} not found in dataset {dataset_id}\")\n\n # PUT back with override_columns=false\n try:\n client.update_dataset(dataset_id, dataset, override_columns=False)\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Superset PUT failed: {e}\")\n raise HTTPException(status_code=502, detail=f\"Failed to update dataset in Superset: {e!s}\")\n\n logger.reflect(\n f\"Updated metric {metric_id} description for dataset {dataset_id}\",\n extra={\"src\": \"update_metric_description\"},\n )\n return {\"success\": True, \"description\": description}\n\n except HTTPException:\n raise\n except Exception as e:\n logger.error(f\"[update_metric_description][Coherence:Failed] Unexpected error: {e}\")\n raise HTTPException(status_code=500, detail=f\"Unexpected error: {e!s}\")\n# #endregion update_metric_description\n" + }, { "contract_id": "EnvironmentsApi", "contract_type": "Module", @@ -14820,39 +15404,6 @@ "tier_source": "AutoCalculated", "body": "# #region TasksRouter [C:3] [TYPE Module] [SEMANTICS fastapi, task, api, search, create-task-request, resolve-task-request]\n# @BRIEF Defines the FastAPI router for task-related endpoints, allowing clients to create, list, and get the status of tasks.\n# @LAYER: API\n# @RELATION DEPENDS_ON -> [TaskManager]\n# @RELATION DEPENDS_ON -> [ConfigManager]\n# @RELATION DEPENDS_ON -> [LLMProviderService]\n\nfrom typing import Any\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query, status\nfrom pydantic import BaseModel\n\nfrom ...core.config_manager import ConfigManager\nfrom ...core.logger import belief_scope\nfrom ...core.task_manager import Task, TaskManager, TaskStatus\nfrom ...core.task_manager.models import LogFilter, LogStats\nfrom ...dependencies import (\n get_config_manager,\n get_current_user,\n get_task_manager,\n has_permission,\n)\nfrom ...services.llm_prompt_templates import (\n normalize_llm_settings,\n resolve_bound_provider_id,\n)\n\nrouter = APIRouter()\n\nTASK_TYPE_PLUGIN_MAP = {\n \"llm_validation\": [\"llm_dashboard_validation\"],\n \"backup\": [\"superset-backup\"],\n \"migration\": [\"superset-migration\"],\n}\n\n\nclass CreateTaskRequest(BaseModel):\n plugin_id: str\n params: dict[str, Any]\n\n\nclass ResolveTaskRequest(BaseModel):\n resolution_params: dict[str, Any]\n\n\nclass ResumeTaskRequest(BaseModel):\n passwords: dict[str, str]\n\n\n# #region create_task [C:3] [TYPE Function]\n# @BRIEF Create and start a new task for a given plugin.\n# @PRE: plugin_id must exist and params must be valid for that plugin.\n# @POST: A new task is created and started.\n# @RELATION CALLS -> [TaskManager]\n# @RELATION DEPENDS_ON -> [ConfigManager]\n# @RELATION DEPENDS_ON -> [LLMProviderService]\n@router.post(\"\", response_model=Task, status_code=status.HTTP_201_CREATED)\nasync def create_task(\n request: CreateTaskRequest,\n task_manager: TaskManager = Depends(get_task_manager),\n current_user=Depends(get_current_user),\n config_manager: ConfigManager = Depends(get_config_manager),\n):\n # Dynamic permission check based on plugin_id\n has_permission(f\"plugin:{request.plugin_id}\", \"EXECUTE\")(current_user)\n with belief_scope(\"create_task\"):\n try:\n # Special handling for LLM tasks to resolve provider config by task binding.\n if request.plugin_id in {\"llm_dashboard_validation\", \"llm_documentation\"}:\n from ...core.database import SessionLocal\n from ...services.llm_provider import LLMProviderService\n\n db = SessionLocal()\n try:\n llm_service = LLMProviderService(db)\n provider_id = request.params.get(\"provider_id\")\n if not provider_id:\n llm_settings = normalize_llm_settings(\n config_manager.get_config().settings.llm\n )\n binding_key = (\n \"dashboard_validation\"\n if request.plugin_id == \"llm_dashboard_validation\"\n else \"documentation\"\n )\n provider_id = resolve_bound_provider_id(\n llm_settings, binding_key\n )\n if provider_id:\n request.params[\"provider_id\"] = provider_id\n if not provider_id:\n providers = llm_service.get_all_providers()\n active_provider = next(\n (p for p in providers if p.is_active), None\n )\n if active_provider:\n provider_id = active_provider.id\n request.params[\"provider_id\"] = provider_id\n\n if provider_id:\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n if (\n request.plugin_id == \"llm_dashboard_validation\"\n and not bool(db_provider.is_multimodal)\n ):\n raise HTTPException(\n status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,\n detail=\"Selected provider model is not multimodal for dashboard validation\",\n )\n finally:\n db.close()\n\n task = await task_manager.create_task(\n plugin_id=request.plugin_id, params=request.params\n )\n return task\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n\n\n# #endregion create_task\n\n\n# #region list_tasks [C:2] [TYPE Function]\n# @BRIEF Retrieve a list of tasks with pagination and optional status filter.\n# @PRE: task_manager must be available.\n# @POST: Returns a list of tasks.\n# @RELATION CALLS -> [TaskManager]\n# @RELATION BINDS_TO -> [TASK_TYPE_PLUGIN_MAP]\n@router.get(\"\", response_model=list[Task])\nasync def list_tasks(\n limit: int = 10,\n offset: int = 0,\n status_filter: TaskStatus | None = Query(None, alias=\"status\"),\n task_type: str | None = Query(\n None, description=\"Task category: llm_validation, backup, migration\"\n ),\n plugin_id: list[str] | None = Query(\n None, description=\"Filter by plugin_id (repeatable query param)\"\n ),\n completed_only: bool = Query(\n False, description=\"Return only completed tasks (SUCCESS/FAILED)\"\n ),\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"READ\")),\n):\n with belief_scope(\"list_tasks\"):\n plugin_filters = list(plugin_id) if plugin_id else []\n if task_type:\n if task_type not in TASK_TYPE_PLUGIN_MAP:\n raise HTTPException(\n status_code=status.HTTP_400_BAD_REQUEST,\n detail=f\"Unsupported task_type '{task_type}'. Allowed: {', '.join(TASK_TYPE_PLUGIN_MAP.keys())}\",\n )\n plugin_filters.extend(TASK_TYPE_PLUGIN_MAP[task_type])\n\n return task_manager.get_tasks(\n limit=limit,\n offset=offset,\n status=status_filter,\n plugin_ids=plugin_filters or None,\n completed_only=completed_only,\n )\n\n\n# #endregion list_tasks\n\n\n# #region get_task [C:2] [TYPE Function]\n# @BRIEF Retrieve the details of a specific task.\n# @PRE: task_id must exist.\n# @POST: Returns task details or raises 404.\n# @RELATION CALLS -> [TaskManager]\n@router.get(\"/{task_id}\", response_model=Task)\nasync def get_task(\n task_id: str,\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"READ\")),\n):\n with belief_scope(\"get_task\"):\n task = task_manager.get_task(task_id)\n if not task:\n raise HTTPException(\n status_code=status.HTTP_404_NOT_FOUND, detail=\"Task not found\"\n )\n return task\n\n\n# #endregion get_task\n\n\n# #region get_task_logs [C:5] [TYPE Function]\n# @BRIEF Retrieve logs for a specific task with optional filtering.\n# @PRE: task_id must exist.\n# @POST: Returns a list of log entries or raises 404.\n# @RELATION CALLS -> [TaskManager]\n# @RELATION DEPENDS_ON -> [LogFilter]\n# @TEST_CONTRACT: TaskLogQueryInput -> List[LogEntry]\n# @TEST_SCENARIO: existing_task_logs_filtered -> Returns filtered logs by level/source/search with pagination.\n# @TEST_FIXTURE: valid_task_with_mixed_logs -> backend/tests/fixtures/task_logs/valid_task_with_mixed_logs.json\n# @TEST_EDGE: missing_task -> Unknown task_id returns 404 Task not found.\n# @TEST_EDGE: invalid_level_type -> Non-string/invalid level query rejected by validation or yields empty result.\n# @TEST_EDGE: pagination_bounds -> offset=0 and limit=1000 remain within API bounds and do not overflow.\n# @TEST_INVARIANT: logs_only_for_existing_task -> VERIFIED_BY: [existing_task_logs_filtered, missing_task]\n@router.get(\"/{task_id}/logs\")\nasync def get_task_logs(\n task_id: str,\n level: str | None = Query(\n None, description=\"Filter by log level (DEBUG, INFO, WARNING, ERROR)\"\n ),\n source: str | None = Query(None, description=\"Filter by source component\"),\n search: str | None = Query(None, description=\"Text search in message\"),\n offset: int = Query(0, ge=0, description=\"Number of logs to skip\"),\n limit: int = Query(\n 100, ge=1, le=1000, description=\"Maximum number of logs to return\"\n ),\n task_manager: TaskManager = Depends(get_task_manager),\n):\n with belief_scope(\"get_task_logs\"):\n task = task_manager.get_task(task_id)\n if not task:\n raise HTTPException(\n status_code=status.HTTP_404_NOT_FOUND, detail=\"Task not found\"\n )\n\n log_filter = LogFilter(\n level=level.upper() if level else None,\n source=source,\n search=search,\n offset=offset,\n limit=limit,\n )\n return task_manager.get_task_logs(task_id, log_filter)\n\n\n# #endregion get_task_logs\n\n\n# #region get_task_log_stats [C:2] [TYPE Function]\n# @BRIEF Get statistics about logs for a task (counts by level and source).\n# @PRE: task_id must exist.\n# @POST: Returns log statistics or raises 404.\n# @RELATION CALLS -> [TaskManager]\n# @RELATION DEPENDS_ON -> [LogStats]\n@router.get(\"/{task_id}/logs/stats\", response_model=LogStats)\nasync def get_task_log_stats(\n task_id: str,\n task_manager: TaskManager = Depends(get_task_manager),\n):\n with belief_scope(\"get_task_log_stats\"):\n task = task_manager.get_task(task_id)\n if not task:\n raise HTTPException(\n status_code=status.HTTP_404_NOT_FOUND, detail=\"Task not found\"\n )\n stats_payload = task_manager.get_task_log_stats(task_id)\n if isinstance(stats_payload, LogStats):\n return stats_payload\n if isinstance(stats_payload, dict) and (\n \"total_count\" in stats_payload\n or \"by_level\" in stats_payload\n or \"by_source\" in stats_payload\n ):\n return LogStats(\n total_count=int(stats_payload.get(\"total_count\", 0) or 0),\n by_level=dict(stats_payload.get(\"by_level\") or {}),\n by_source=dict(stats_payload.get(\"by_source\") or {}),\n )\n flat_by_level = (\n dict(stats_payload or {}) if isinstance(stats_payload, dict) else {}\n )\n return LogStats(\n total_count=sum(int(value or 0) for value in flat_by_level.values()),\n by_level={\n str(key): int(value or 0) for key, value in flat_by_level.items()\n },\n by_source={},\n )\n\n\n# #endregion get_task_log_stats\n\n\n# #region get_task_log_sources [C:2] [TYPE Function]\n# @BRIEF Get unique sources for a task's logs.\n# @PRE: task_id must exist.\n# @POST: Returns list of unique source names or raises 404.\n# @RELATION CALLS -> [TaskManager]\n@router.get(\"/{task_id}/logs/sources\", response_model=list[str])\nasync def get_task_log_sources(\n task_id: str,\n task_manager: TaskManager = Depends(get_task_manager),\n):\n with belief_scope(\"get_task_log_sources\"):\n task = task_manager.get_task(task_id)\n if not task:\n raise HTTPException(\n status_code=status.HTTP_404_NOT_FOUND, detail=\"Task not found\"\n )\n return task_manager.get_task_log_sources(task_id)\n\n\n# #endregion get_task_log_sources\n\n\n# #region resolve_task [C:2] [TYPE Function]\n# @BRIEF Resolve a task that is awaiting mapping.\n# @PRE: task must be in AWAITING_MAPPING status.\n# @POST: Task is resolved and resumes execution.\n# @RELATION CALLS -> [TaskManager]\n@router.post(\"/{task_id}/resolve\", response_model=Task)\nasync def resolve_task(\n task_id: str,\n request: ResolveTaskRequest,\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"WRITE\")),\n):\n with belief_scope(\"resolve_task\"):\n try:\n await task_manager.resolve_task(task_id, request.resolution_params)\n return task_manager.get_task(task_id)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n\n\n# #endregion resolve_task\n\n\n# #region resume_task [C:2] [TYPE Function]\n# @BRIEF Resume a task that is awaiting input (e.g., passwords).\n# @PRE: task must be in AWAITING_INPUT status.\n# @POST: Task resumes execution with provided input.\n# @RELATION CALLS -> [TaskManager]\n@router.post(\"/{task_id}/resume\", response_model=Task)\nasync def resume_task(\n task_id: str,\n request: ResumeTaskRequest,\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"WRITE\")),\n):\n with belief_scope(\"resume_task\"):\n try:\n task_manager.resume_task_with_password(task_id, request.passwords)\n return task_manager.get_task(task_id)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n\n\n# #endregion resume_task\n\n\n# #region clear_tasks [C:2] [TYPE Function]\n# @BRIEF Clear tasks matching the status filter.\n# @PRE: task_manager is available.\n# @POST: Tasks are removed from memory/persistence.\n# @RELATION CALLS -> [TaskManager]\n@router.delete(\"\", status_code=status.HTTP_204_NO_CONTENT)\nasync def clear_tasks(\n status: TaskStatus | None = None,\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"WRITE\")),\n):\n with belief_scope(\"clear_tasks\", f\"status={status}\"):\n task_manager.clear_tasks(status)\n return\n\n\n# #endregion clear_tasks\n\n# #endregion TasksRouter\n" }, - { - "contract_id": "list_tasks", - "contract_type": "Function", - "file_path": "backend/src/api/routes/tasks.py", - "start_line": 126, - "end_line": 168, - "tier": "TIER_1", - "complexity": 2, - "metadata": { - "COMPLEXITY": 2, - "POST": "Returns a list of tasks.", - "PRE": "task_manager must be available.", - "PURPOSE": "Retrieve a list of tasks with pagination and optional status filter." - }, - "relations": [ - { - "source_id": "list_tasks", - "relation_type": "CALLS", - "target_id": "TaskManager", - "target_ref": "[TaskManager]" - }, - { - "source_id": "list_tasks", - "relation_type": "BINDS_TO", - "target_id": "TASK_TYPE_PLUGIN_MAP", - "target_ref": "[TASK_TYPE_PLUGIN_MAP]" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region list_tasks [C:2] [TYPE Function]\n# @BRIEF Retrieve a list of tasks with pagination and optional status filter.\n# @PRE: task_manager must be available.\n# @POST: Returns a list of tasks.\n# @RELATION CALLS -> [TaskManager]\n# @RELATION BINDS_TO -> [TASK_TYPE_PLUGIN_MAP]\n@router.get(\"\", response_model=list[Task])\nasync def list_tasks(\n limit: int = 10,\n offset: int = 0,\n status_filter: TaskStatus | None = Query(None, alias=\"status\"),\n task_type: str | None = Query(\n None, description=\"Task category: llm_validation, backup, migration\"\n ),\n plugin_id: list[str] | None = Query(\n None, description=\"Filter by plugin_id (repeatable query param)\"\n ),\n completed_only: bool = Query(\n False, description=\"Return only completed tasks (SUCCESS/FAILED)\"\n ),\n task_manager: TaskManager = Depends(get_task_manager),\n _=Depends(has_permission(\"tasks\", \"READ\")),\n):\n with belief_scope(\"list_tasks\"):\n plugin_filters = list(plugin_id) if plugin_id else []\n if task_type:\n if task_type not in TASK_TYPE_PLUGIN_MAP:\n raise HTTPException(\n status_code=status.HTTP_400_BAD_REQUEST,\n detail=f\"Unsupported task_type '{task_type}'. Allowed: {', '.join(TASK_TYPE_PLUGIN_MAP.keys())}\",\n )\n plugin_filters.extend(TASK_TYPE_PLUGIN_MAP[task_type])\n\n return task_manager.get_tasks(\n limit=limit,\n offset=offset,\n status=status_filter,\n plugin_ids=plugin_filters or None,\n completed_only=completed_only,\n )\n\n\n# #endregion list_tasks\n" - }, { "contract_id": "resume_task", "contract_type": "Function", @@ -15812,46 +16363,6 @@ "tier_source": "AutoCalculated", "body": "# #region TranslateRunListRoutesModule [C:3] [TYPE Module] [SEMANTICS fastapi, translate, api, download, search]\n# @BRIEF Translation Run listing, detail, and CSV download routes (cross-job).\n# @LAYER: API\n\n\nfrom fastapi import Depends, HTTPException, Query, status\nfrom sqlalchemy.orm import Session\n\nfrom ....core.config_manager import ConfigManager\nfrom ....core.database import get_db\nfrom ....core.logger import logger\nfrom ....dependencies import get_config_manager, get_current_user, has_permission\nfrom ....plugins.translate.events import TranslationEventLog\nfrom ....plugins.translate.orchestrator import TranslationOrchestrator\nfrom ....schemas.auth import User\nfrom ._router import router\n\n# ============================================================\n# List Runs (cross-job)\n# ============================================================\n\n# #region list_runs [C:4] [TYPE Function]\n# @BRIEF List all runs with cross-job filtering and pagination.\n# @PRE: User has translate.history.view permission.\n# @POST: Returns paginated list of runs.\n@router.get(\"/runs\")\nasync def list_runs(\n job_id: str | None = Query(None),\n run_status: str | None = Query(None),\n trigger_type: str | None = Query(None),\n created_by: str | None = Query(None),\n date_from: str | None = Query(None),\n date_to: str | None = Query(None),\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.history\", \"VIEW\")),\n db: Session = Depends(get_db),\n):\n \"\"\"List all runs with cross-job filtering and pagination.\"\"\"\n logger.reason(f\"list_runs — User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n from ....models.translate import TranslationRun\n query = db.query(TranslationRun)\n\n if job_id:\n query = query.filter(TranslationRun.job_id == job_id)\n if run_status:\n query = query.filter(TranslationRun.status == run_status)\n if trigger_type:\n query = query.filter(TranslationRun.trigger_type == trigger_type)\n if created_by:\n query = query.filter(TranslationRun.created_by == created_by)\n if date_from:\n try:\n from datetime import datetime\n dt_from = datetime.fromisoformat(date_from)\n query = query.filter(TranslationRun.created_at >= dt_from)\n except ValueError:\n logger.debug(\"Could not parse date_from: %s\", date_from)\n if date_to:\n try:\n from datetime import datetime\n dt_to = datetime.fromisoformat(date_to)\n query = query.filter(TranslationRun.created_at <= dt_to)\n except ValueError:\n logger.debug(\"Could not parse date_to: %s\", date_to)\n\n total = query.count()\n runs = (\n query.order_by(TranslationRun.created_at.desc())\n .offset((page - 1) * page_size)\n .limit(page_size)\n .all()\n )\n\n items = []\n for r in runs:\n # Gather per-language statistics from the run's language_stats relationship\n lang_stats = r.language_stats or []\n target_languages = [ls.language_code for ls in lang_stats]\n total_translated = sum((ls.translated_rows or 0) for ls in lang_stats)\n language_stats = {\n ls.language_code: {\n \"total_rows\": ls.total_rows or 0,\n \"translated_rows\": ls.translated_rows or 0,\n \"failed_rows\": ls.failed_rows or 0,\n \"skipped_rows\": ls.skipped_rows or 0,\n \"token_count\": ls.token_count or 0,\n \"estimated_cost\": ls.estimated_cost or 0.0,\n }\n for ls in lang_stats\n }\n\n items.append({\n \"id\": r.id,\n \"job_id\": r.job_id,\n \"status\": r.status,\n \"trigger_type\": r.trigger_type,\n \"started_at\": r.started_at.isoformat() if r.started_at else None,\n \"completed_at\": r.completed_at.isoformat() if r.completed_at else None,\n \"error_message\": r.error_message,\n \"total_records\": r.total_records or 0,\n \"successful_records\": r.successful_records or 0,\n \"failed_records\": r.failed_records or 0,\n \"skipped_records\": r.skipped_records or 0,\n \"insert_status\": r.insert_status,\n \"superset_execution_id\": r.superset_execution_id,\n \"config_hash\": r.config_hash,\n \"dict_snapshot_hash\": r.dict_snapshot_hash,\n \"created_by\": r.created_by,\n \"created_at\": r.created_at.isoformat() if r.created_at else None,\n \"target_languages\": target_languages,\n \"total_translated\": total_translated,\n \"language_stats\": language_stats,\n })\n\n return {\"items\": items, \"total\": total, \"page\": page, \"page_size\": page_size}\n except Exception as e:\n logger.explore(\"list_runs failed\", extra={\"src\": \"translate_routes\", \"error\": str(e)})\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_runs\n\n\n# ============================================================\n# Run Detail\n# ============================================================\n\n# #region get_run_detail [C:4] [TYPE Function]\n# @BRIEF Get detailed run info with config_snapshot, records, events.\n# @PRE: User has translate.history.view permission.\n# @POST: Returns run detail with records and events.\n@router.get(\"/runs/{run_id}/detail\")\nasync def get_run_detail(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.history\", \"VIEW\")),\n db: Session = Depends(get_db),\n config_manager: ConfigManager = Depends(get_config_manager),\n):\n \"\"\"Get detailed run info with config_snapshot, records, events.\"\"\"\n logger.reason(f\"get_run_detail — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n orch = TranslationOrchestrator(db, config_manager, current_user.username)\n status_info = orch.get_run_status(run_id)\n records = orch.get_run_records(run_id, page=1, page_size=50)\n events = TranslationEventLog(db).query_events(run_id=run_id)\n event_summary = TranslationEventLog(db).get_run_event_summary(run_id)\n\n # Get config snapshot from run\n from ....models.translate import TranslationRun\n run = db.query(TranslationRun).filter(TranslationRun.id == run_id).first()\n config_snapshot = run.config_snapshot if run else None\n\n return {\n **status_info,\n \"config_snapshot\": config_snapshot,\n \"config_hash\": run.config_hash if run else None,\n \"records\": records,\n \"events\": events,\n \"event_invariants\": event_summary,\n }\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_run_detail\n\n\n# ============================================================\n# Download Skipped CSV\n# ============================================================\n\n# #region download_skipped_csv [C:4] [TYPE Function]\n# @BRIEF Download a CSV of skipped translation records from a run.\n# @PRE User has translate.job.view permission.\n# @POST Returns CSV file of skipped records.\n# @COMPLEXITY 4\n\n@router.get(\"/runs/{run_id}/skipped.csv\")\nasync def download_skipped_csv(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.job\", \"VIEW\")),\n db: Session = Depends(get_db),\n):\n \"\"\"Download skipped translation records as CSV.\"\"\"\n logger.reason(f\"download_skipped_csv — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n import csv\n import io\n\n from fastapi.responses import StreamingResponse\n\n from ....models.translate import TranslationRecord\n\n records = (\n db.query(TranslationRecord)\n .filter(\n TranslationRecord.run_id == run_id,\n TranslationRecord.status == \"SKIPPED\",\n )\n .all()\n )\n\n output = io.StringIO()\n writer = csv.writer(output)\n writer.writerow([\"id\", \"source_sql\", \"target_sql\", \"source_object_type\",\n \"source_object_id\", \"source_object_name\", \"error_message\"])\n for rec in records:\n writer.writerow([\n rec.id, rec.source_sql, rec.target_sql, rec.source_object_type,\n rec.source_object_id, rec.source_object_name, rec.error_message,\n ])\n\n output.seek(0)\n return StreamingResponse(\n iter([output.getvalue()]),\n media_type=\"text/csv\",\n headers={\"Content-Disposition\": f\"attachment; filename=skipped_{run_id}.csv\"},\n )\n except Exception as e:\n logger.explore(\"download_skipped_csv failed\", extra={\"src\": \"translate_routes\", \"error\": str(e)})\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion download_skipped_csv\n\n# #endregion TranslateRunListRoutesModule\n" }, - { - "contract_id": "list_runs", - "contract_type": "Function", - "file_path": "backend/src/api/routes/translate/_run_list_routes.py", - "start_line": 22, - "end_line": 122, - "tier": "TIER_2", - "complexity": 4, - "metadata": { - "COMPLEXITY": 4, - "POST": "Returns paginated list of runs.", - "PRE": "User has translate.history.view permission.", - "PURPOSE": "List all runs with cross-job filtering and pagination." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region list_runs [C:4] [TYPE Function]\n# @BRIEF List all runs with cross-job filtering and pagination.\n# @PRE: User has translate.history.view permission.\n# @POST: Returns paginated list of runs.\n@router.get(\"/runs\")\nasync def list_runs(\n job_id: str | None = Query(None),\n run_status: str | None = Query(None),\n trigger_type: str | None = Query(None),\n created_by: str | None = Query(None),\n date_from: str | None = Query(None),\n date_to: str | None = Query(None),\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.history\", \"VIEW\")),\n db: Session = Depends(get_db),\n):\n \"\"\"List all runs with cross-job filtering and pagination.\"\"\"\n logger.reason(f\"list_runs — User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n from ....models.translate import TranslationRun\n query = db.query(TranslationRun)\n\n if job_id:\n query = query.filter(TranslationRun.job_id == job_id)\n if run_status:\n query = query.filter(TranslationRun.status == run_status)\n if trigger_type:\n query = query.filter(TranslationRun.trigger_type == trigger_type)\n if created_by:\n query = query.filter(TranslationRun.created_by == created_by)\n if date_from:\n try:\n from datetime import datetime\n dt_from = datetime.fromisoformat(date_from)\n query = query.filter(TranslationRun.created_at >= dt_from)\n except ValueError:\n logger.debug(\"Could not parse date_from: %s\", date_from)\n if date_to:\n try:\n from datetime import datetime\n dt_to = datetime.fromisoformat(date_to)\n query = query.filter(TranslationRun.created_at <= dt_to)\n except ValueError:\n logger.debug(\"Could not parse date_to: %s\", date_to)\n\n total = query.count()\n runs = (\n query.order_by(TranslationRun.created_at.desc())\n .offset((page - 1) * page_size)\n .limit(page_size)\n .all()\n )\n\n items = []\n for r in runs:\n # Gather per-language statistics from the run's language_stats relationship\n lang_stats = r.language_stats or []\n target_languages = [ls.language_code for ls in lang_stats]\n total_translated = sum((ls.translated_rows or 0) for ls in lang_stats)\n language_stats = {\n ls.language_code: {\n \"total_rows\": ls.total_rows or 0,\n \"translated_rows\": ls.translated_rows or 0,\n \"failed_rows\": ls.failed_rows or 0,\n \"skipped_rows\": ls.skipped_rows or 0,\n \"token_count\": ls.token_count or 0,\n \"estimated_cost\": ls.estimated_cost or 0.0,\n }\n for ls in lang_stats\n }\n\n items.append({\n \"id\": r.id,\n \"job_id\": r.job_id,\n \"status\": r.status,\n \"trigger_type\": r.trigger_type,\n \"started_at\": r.started_at.isoformat() if r.started_at else None,\n \"completed_at\": r.completed_at.isoformat() if r.completed_at else None,\n \"error_message\": r.error_message,\n \"total_records\": r.total_records or 0,\n \"successful_records\": r.successful_records or 0,\n \"failed_records\": r.failed_records or 0,\n \"skipped_records\": r.skipped_records or 0,\n \"insert_status\": r.insert_status,\n \"superset_execution_id\": r.superset_execution_id,\n \"config_hash\": r.config_hash,\n \"dict_snapshot_hash\": r.dict_snapshot_hash,\n \"created_by\": r.created_by,\n \"created_at\": r.created_at.isoformat() if r.created_at else None,\n \"target_languages\": target_languages,\n \"total_translated\": total_translated,\n \"language_stats\": language_stats,\n })\n\n return {\"items\": items, \"total\": total, \"page\": page, \"page_size\": page_size}\n except Exception as e:\n logger.explore(\"list_runs failed\", extra={\"src\": \"translate_routes\", \"error\": str(e)})\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_runs\n" - }, - { - "contract_id": "get_run_detail", - "contract_type": "Function", - "file_path": "backend/src/api/routes/translate/_run_list_routes.py", - "start_line": 129, - "end_line": 165, - "tier": "TIER_2", - "complexity": 4, - "metadata": { - "COMPLEXITY": 4, - "POST": "Returns run detail with records and events.", - "PRE": "User has translate.history.view permission.", - "PURPOSE": "Get detailed run info with config_snapshot, records, events." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region get_run_detail [C:4] [TYPE Function]\n# @BRIEF Get detailed run info with config_snapshot, records, events.\n# @PRE: User has translate.history.view permission.\n# @POST: Returns run detail with records and events.\n@router.get(\"/runs/{run_id}/detail\")\nasync def get_run_detail(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.history\", \"VIEW\")),\n db: Session = Depends(get_db),\n config_manager: ConfigManager = Depends(get_config_manager),\n):\n \"\"\"Get detailed run info with config_snapshot, records, events.\"\"\"\n logger.reason(f\"get_run_detail — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n orch = TranslationOrchestrator(db, config_manager, current_user.username)\n status_info = orch.get_run_status(run_id)\n records = orch.get_run_records(run_id, page=1, page_size=50)\n events = TranslationEventLog(db).query_events(run_id=run_id)\n event_summary = TranslationEventLog(db).get_run_event_summary(run_id)\n\n # Get config snapshot from run\n from ....models.translate import TranslationRun\n run = db.query(TranslationRun).filter(TranslationRun.id == run_id).first()\n config_snapshot = run.config_snapshot if run else None\n\n return {\n **status_info,\n \"config_snapshot\": config_snapshot,\n \"config_hash\": run.config_hash if run else None,\n \"records\": records,\n \"events\": events,\n \"event_invariants\": event_summary,\n }\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_run_detail\n" - }, { "contract_id": "download_skipped_csv", "contract_type": "Function", @@ -16251,12 +16762,821 @@ "tier_source": "AutoCalculated", "body": "# #region get_next_executions [C:4] [TYPE Function]\n# @BRIEF Preview next N executions for a job's schedule.\n# @PRE User has translate.schedule.view permission.\n# @POST Returns next execution times.\n# @COMPLEXITY 4\n\n@router.get(\"/jobs/{job_id}/schedule/next-executions\")\nasync def get_next_executions(\n job_id: str,\n n: int = Query(3, ge=1, le=10),\n current_user: User = Depends(get_current_user),\n _ = Depends(has_permission(\"translate.schedule\", \"VIEW\")),\n db: Session = Depends(get_db),\n config_manager: ConfigManager = Depends(get_config_manager),\n):\n \"\"\"Preview next N executions for a job's schedule.\"\"\"\n logger.reason(f\"get_next_executions — Job: {job_id}, User: {current_user.username}\", extra={\"src\": \"translate_routes\"})\n try:\n scheduler = TranslationScheduler(db, config_manager, current_user.username)\n schedule = scheduler.get_schedule(job_id)\n next_times = TranslationScheduler.get_next_executions(\n schedule.cron_expression, schedule.timezone, n=n\n )\n return {\n \"job_id\": job_id,\n \"cron_expression\": schedule.cron_expression,\n \"timezone\": schedule.timezone,\n \"next_executions\": next_times,\n }\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_next_executions\n" }, + { + "contract_id": "ValidationRoutes", + "contract_type": "Module", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 1, + "end_line": 270, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "API", + "PURPOSE": "API routes for validation task management and run history." + }, + "relations": [ + { + "source_id": "ValidationRoutes", + "relation_type": "DEPENDS_ON", + "target_id": "ValidationTaskService", + "target_ref": "[ValidationTaskService]" + }, + { + "source_id": "ValidationRoutes", + "relation_type": "DEPENDS_ON", + "target_id": "ValidationRunService", + "target_ref": "[ValidationRunService]" + }, + { + "source_id": "ValidationRoutes", + "relation_type": "DEPENDS_ON", + "target_id": "TaskManager", + "target_ref": "[TaskManager]" + } + ], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationRoutes [C:3] [TYPE Module] [SEMANTICS fastapi, validation, api, task, run]\n# @BRIEF API routes for validation task management and run history.\n# @LAYER API\n# @RELATION DEPENDS_ON -> [ValidationTaskService]\n# @RELATION DEPENDS_ON -> [ValidationRunService]\n# @RELATION DEPENDS_ON -> [TaskManager]\n\nfrom datetime import date\n\nfrom fastapi import APIRouter, Depends, HTTPException, Query, status\nfrom sqlalchemy.orm import Session\n\nfrom ...core.config_manager import ConfigManager\nfrom ...core.database import get_db\nfrom ...core.logger import logger\nfrom ...core.task_manager import TaskManager\nfrom ...dependencies import get_config_manager, get_current_user, get_task_manager, has_permission\nfrom ...schemas.auth import User\nfrom ...schemas.validation import (\n TriggerRunResponse,\n ValidationRunDetailResponse,\n ValidationRunListResponse,\n ValidationTaskCreate,\n ValidationTaskListResponse,\n ValidationTaskResponse,\n ValidationTaskUpdate,\n)\nfrom ...services.validation_run_service import ValidationRunService\nfrom ...services.validation_service import ValidationTaskService\n\n# #region router [C:1] [TYPE Global]\nrouter = APIRouter(tags=[\"Validation\"])\n# #endregion router\n\n\n# #region _get_task_service [C:1] [TYPE Function]\ndef _get_task_service(\n db: Session = Depends(get_db),\n config_manager: ConfigManager = Depends(get_config_manager),\n current_user: User = Depends(get_current_user),\n) -> ValidationTaskService:\n return ValidationTaskService(db=db, config_manager=config_manager, username=current_user.username)\n# #endregion _get_task_service\n\n\n# #region _get_run_service [C:1] [TYPE Function]\ndef _get_run_service(\n db: Session = Depends(get_db),\n) -> ValidationRunService:\n return ValidationRunService(db=db)\n# #endregion _get_run_service\n\n\n# ============================================================\n# Tasks CRUD\n# ============================================================\n\n\n# #region list_tasks [C:4] [TYPE Function]\n# @RATIONALE Route handler delegates to service with permission check — keeps API layer thin and testable; auth gate happens before any business logic.\n# @REJECTED Business logic in route handler rejected — would duplicate validation logic and make permission checks harder to audit.\n@router.get(\"/tasks\", response_model=ValidationTaskListResponse)\nasync def list_tasks(\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n is_active: bool | None = Query(None),\n environment_id: str | None = Query(None),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"VIEW\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"List all validation tasks with pagination and optional filters.\"\"\"\n logger.reason(f\"list_tasks — User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n total, items = service.list_tasks(is_active=is_active, environment_id=environment_id, page=page, page_size=page_size)\n return ValidationTaskListResponse(items=items, total=total, page=page, page_size=page_size)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_tasks\n\n\n# #region create_task [C:4] [TYPE Function]\n# @RATIONALE Returns 201 with created resource — follows REST conventions for POST resource creation; signals to clients that a new entity was created.\n# @REJECTED Returning 200 with wrapped response rejected — non-standard for POST create; 201 Created signals the correct semantics to HTTP clients and code generators.\n@router.post(\"/tasks\", response_model=ValidationTaskResponse, status_code=status.HTTP_201_CREATED)\nasync def create_task(\n payload: ValidationTaskCreate,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"CREATE\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"Create a new validation task with provider and environment validation.\"\"\"\n logger.reason(f\"create_task — User: {current_user.username}, name: {payload.name}\", extra={\"src\": \"validation_routes\"})\n try:\n return service.create_task(payload)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(e))\n# #endregion create_task\n\n\n# #region get_task [C:4] [TYPE Function]\n# @RATIONALE Joins task detail with recent runs in a single endpoint — reduces frontend API calls from 2 to 1, improving page load performance.\n# @REJECTED Separate /tasks/{id}/runs endpoint for recent runs rejected — would require frontend to make 2 sequential API calls, doubling load time on the config page.\n@router.get(\"/tasks/{task_id}\", response_model=dict)\nasync def get_task(\n task_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"VIEW\")),\n task_service: ValidationTaskService = Depends(_get_task_service),\n run_service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"Get a validation task with its recent runs.\"\"\"\n logger.reason(f\"get_task — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n task = task_service.get_task(task_id)\n from ...schemas.validation import ValidationRunResponse\n # Find recent runs via run_service using dashboard matching\n recent = run_service.list_runs(\n dashboard_id=task.dashboard_ids[0] if task.dashboard_ids else None,\n environment_id=task.environment_id,\n page=1,\n page_size=10,\n )\n return {\n \"task\": task.model_dump(),\n \"recent_runs\": [r.model_dump() for r in recent[1]],\n }\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_task\n\n\n# #region update_task [C:4] [TYPE Function]\n# @RATIONALE PUT semantics for full resource update — consistent with existing API patterns; Pydantic's exclude_unset handles partial updates while keeping PUT as the endpoint verb.\n# @REJECTED PATCH semantics rejected — using PUT with exclude_unset provides the same partial-update flexibility without introducing a second HTTP method for the same resource.\n@router.put(\"/tasks/{task_id}\", response_model=ValidationTaskResponse)\nasync def update_task(\n task_id: str,\n payload: ValidationTaskUpdate,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"EDIT\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"Update a validation task.\"\"\"\n logger.reason(f\"update_task — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n return service.update_task(task_id, payload)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion update_task\n\n\n# #region delete_task [C:4] [TYPE Function]\n# @RATIONALE DELETE returns 204 No Content per REST convention — minimizes response payload for delete operations; supports optional delete_runs query param for cascade control.\n# @REJECTED Returning deleted resource in response body rejected — unnecessary data transfer; 204 with no body is the REST standard for delete operations.\n@router.delete(\"/tasks/{task_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_task(\n task_id: str,\n delete_runs: bool = Query(False, description=\"Also delete associated validation runs\"),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"DELETE\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"Delete a validation task.\"\"\"\n logger.reason(f\"delete_task — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n service.delete_task(task_id, delete_runs=delete_runs)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion delete_task\n\n\n# ============================================================\n# Run — trigger immediate validation\n# ============================================================\n\n\n# #region trigger_run [C:4] [TYPE Function]\n# @RATIONALE Returns spawned task ID so frontend can poll for completion — enables progress tracking without WebSocket. Async spawn is essential since LLM validation can take 30+ seconds.\n# @REJECTED Blocking until run completes rejected — LLM-based validation is slow (30-120s); synchronous wait would timeout HTTP requests and create terrible UX.\n@router.post(\"/tasks/{task_id}/run\", response_model=TriggerRunResponse)\nasync def trigger_run(\n task_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"EXECUTE\")),\n service: ValidationTaskService = Depends(_get_task_service),\n task_manager: TaskManager = Depends(get_task_manager),\n):\n \"\"\"Trigger immediate validation for a task.\"\"\"\n logger.reason(f\"trigger_run — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n spawned_task_id = await service.trigger_run(task_id, task_manager)\n return TriggerRunResponse(task_id=task_id, spawned_task_id=spawned_task_id, status=\"PENDING\", message=\"Validation task spawned\")\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(e))\n# #endregion trigger_run\n\n\n# ============================================================\n# Runs — history listing and detail\n# ============================================================\n\n\n# #region list_runs [C:4] [TYPE Function]\n# @RATIONALE Exposes 6 query parameters for cross-task run filtering — matches the run service's filter capabilities exactly, enabling flexible history exploration.\n# @REJECTED Fixed filter set rejected — would limit the history page's debugging use cases; users need to filter by task, status, dashboard, environment, and date range.\n@router.get(\"/runs\", response_model=ValidationRunListResponse)\nasync def list_runs(\n task_id: str | None = Query(None, description=\"Filter by spawned task ID\"),\n dashboard_id: str | None = Query(None, description=\"Filter by dashboard ID\"),\n environment_id: str | None = Query(None, description=\"Filter by environment ID\"),\n status: str | None = Query(None, description=\"Filter by status: PASS, WARN, FAIL, UNKNOWN\"),\n date_from: date | None = Query(None, description=\"Start date (ISO format)\"),\n date_to: date | None = Query(None, description=\"End date (ISO format)\"),\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"VIEW\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"List validation runs with cross-task filtering and pagination.\"\"\"\n logger.reason(f\"list_runs — User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n total, items = service.list_runs(\n task_id=task_id, dashboard_id=dashboard_id, environment_id=environment_id,\n status=status, date_from=date_from, date_to=date_to, page=page, page_size=page_size,\n )\n return ValidationRunListResponse(items=items, total=total, page=page, page_size=page_size)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_runs\n\n\n# #region get_run_detail [C:4] [TYPE Function]\n# @RATIONALE Returns full run detail including issues list and raw response for the report view — single endpoint serves the complete detail page without multiple fetches.\n# @REJECTED Paginated issues endpoint rejected — issues per run are typically < 20 items; pagination overhead is unnecessary for such small collections.\n@router.get(\"/runs/{run_id}\", response_model=ValidationRunDetailResponse)\nasync def get_run_detail(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"VIEW\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"Get detailed validation run info including issues and raw response.\"\"\"\n logger.reason(f\"get_run_detail — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n return service.get_run_detail(run_id)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_run_detail\n\n\n# #region delete_run [C:3] [TYPE Function]\n# @RATIONALE Returns 404 when run not found — explicit error handling rather than silent success; helps frontend distinguish between successful delete and missing resource.\n# @REJECTED Silent success on missing run rejected — would mask bugs in the UI that reference already-deleted runs; explicit 404 helps debugging.\n@router.delete(\"/runs/{run_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_run(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"DELETE\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"Delete a validation run record.\"\"\"\n logger.reason(f\"delete_run — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n if not service.delete_run(run_id):\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=\"Run not found\")\n# #endregion delete_run\n\n\n# #endregion ValidationRoutes\n" + }, + { + "contract_id": "_get_task_service", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 36, + "end_line": 43, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1 + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region _get_task_service [C:1] [TYPE Function]\ndef _get_task_service(\n db: Session = Depends(get_db),\n config_manager: ConfigManager = Depends(get_config_manager),\n current_user: User = Depends(get_current_user),\n) -> ValidationTaskService:\n return ValidationTaskService(db=db, config_manager=config_manager, username=current_user.username)\n# #endregion _get_task_service\n" + }, + { + "contract_id": "_get_run_service", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 46, + "end_line": 51, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1 + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region _get_run_service [C:1] [TYPE Function]\ndef _get_run_service(\n db: Session = Depends(get_db),\n) -> ValidationRunService:\n return ValidationRunService(db=db)\n# #endregion _get_run_service\n" + }, + { + "contract_id": "list_tasks", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 59, + "end_line": 79, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "Route handler delegates to service with permission check — keeps API layer thin and testable; auth gate happens before any business logic.", + "REJECTED": "Business logic in route handler rejected — would duplicate validation logic and make permission checks harder to audit." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region list_tasks [C:4] [TYPE Function]\n# @RATIONALE Route handler delegates to service with permission check — keeps API layer thin and testable; auth gate happens before any business logic.\n# @REJECTED Business logic in route handler rejected — would duplicate validation logic and make permission checks harder to audit.\n@router.get(\"/tasks\", response_model=ValidationTaskListResponse)\nasync def list_tasks(\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n is_active: bool | None = Query(None),\n environment_id: str | None = Query(None),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"VIEW\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"List all validation tasks with pagination and optional filters.\"\"\"\n logger.reason(f\"list_tasks — User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n total, items = service.list_tasks(is_active=is_active, environment_id=environment_id, page=page, page_size=page_size)\n return ValidationTaskListResponse(items=items, total=total, page=page, page_size=page_size)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_tasks\n" + }, + { + "contract_id": "update_task", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 133, + "end_line": 150, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "PUT semantics for full resource update — consistent with existing API patterns; Pydantic's exclude_unset handles partial updates while keeping PUT as the endpoint verb.", + "REJECTED": "PATCH semantics rejected — using PUT with exclude_unset provides the same partial-update flexibility without introducing a second HTTP method for the same resource." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region update_task [C:4] [TYPE Function]\n# @RATIONALE PUT semantics for full resource update — consistent with existing API patterns; Pydantic's exclude_unset handles partial updates while keeping PUT as the endpoint verb.\n# @REJECTED PATCH semantics rejected — using PUT with exclude_unset provides the same partial-update flexibility without introducing a second HTTP method for the same resource.\n@router.put(\"/tasks/{task_id}\", response_model=ValidationTaskResponse)\nasync def update_task(\n task_id: str,\n payload: ValidationTaskUpdate,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"EDIT\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"Update a validation task.\"\"\"\n logger.reason(f\"update_task — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n return service.update_task(task_id, payload)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion update_task\n" + }, + { + "contract_id": "delete_task", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 153, + "end_line": 170, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "DELETE returns 204 No Content per REST convention — minimizes response payload for delete operations; supports optional delete_runs query param for cascade control.", + "REJECTED": "Returning deleted resource in response body rejected — unnecessary data transfer; 204 with no body is the REST standard for delete operations." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region delete_task [C:4] [TYPE Function]\n# @RATIONALE DELETE returns 204 No Content per REST convention — minimizes response payload for delete operations; supports optional delete_runs query param for cascade control.\n# @REJECTED Returning deleted resource in response body rejected — unnecessary data transfer; 204 with no body is the REST standard for delete operations.\n@router.delete(\"/tasks/{task_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_task(\n task_id: str,\n delete_runs: bool = Query(False, description=\"Also delete associated validation runs\"),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"DELETE\")),\n service: ValidationTaskService = Depends(_get_task_service),\n):\n \"\"\"Delete a validation task.\"\"\"\n logger.reason(f\"delete_task — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n service.delete_task(task_id, delete_runs=delete_runs)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion delete_task\n" + }, + { + "contract_id": "trigger_run", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 178, + "end_line": 196, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "Returns spawned task ID so frontend can poll for completion — enables progress tracking without WebSocket. Async spawn is essential since LLM validation can take 30+ seconds.", + "REJECTED": "Blocking until run completes rejected — LLM-based validation is slow (30-120s); synchronous wait would timeout HTTP requests and create terrible UX." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region trigger_run [C:4] [TYPE Function]\n# @RATIONALE Returns spawned task ID so frontend can poll for completion — enables progress tracking without WebSocket. Async spawn is essential since LLM validation can take 30+ seconds.\n# @REJECTED Blocking until run completes rejected — LLM-based validation is slow (30-120s); synchronous wait would timeout HTTP requests and create terrible UX.\n@router.post(\"/tasks/{task_id}/run\", response_model=TriggerRunResponse)\nasync def trigger_run(\n task_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.task\", \"EXECUTE\")),\n service: ValidationTaskService = Depends(_get_task_service),\n task_manager: TaskManager = Depends(get_task_manager),\n):\n \"\"\"Trigger immediate validation for a task.\"\"\"\n logger.reason(f\"trigger_run — Task: {task_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n spawned_task_id = await service.trigger_run(task_id, task_manager)\n return TriggerRunResponse(task_id=task_id, spawned_task_id=spawned_task_id, status=\"PENDING\", message=\"Validation task spawned\")\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(e))\n# #endregion trigger_run\n" + }, + { + "contract_id": "list_runs", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 204, + "end_line": 231, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "Exposes 6 query parameters for cross-task run filtering — matches the run service's filter capabilities exactly, enabling flexible history exploration.", + "REJECTED": "Fixed filter set rejected — would limit the history page's debugging use cases; users need to filter by task, status, dashboard, environment, and date range." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region list_runs [C:4] [TYPE Function]\n# @RATIONALE Exposes 6 query parameters for cross-task run filtering — matches the run service's filter capabilities exactly, enabling flexible history exploration.\n# @REJECTED Fixed filter set rejected — would limit the history page's debugging use cases; users need to filter by task, status, dashboard, environment, and date range.\n@router.get(\"/runs\", response_model=ValidationRunListResponse)\nasync def list_runs(\n task_id: str | None = Query(None, description=\"Filter by spawned task ID\"),\n dashboard_id: str | None = Query(None, description=\"Filter by dashboard ID\"),\n environment_id: str | None = Query(None, description=\"Filter by environment ID\"),\n status: str | None = Query(None, description=\"Filter by status: PASS, WARN, FAIL, UNKNOWN\"),\n date_from: date | None = Query(None, description=\"Start date (ISO format)\"),\n date_to: date | None = Query(None, description=\"End date (ISO format)\"),\n page: int = Query(1, ge=1),\n page_size: int = Query(20, ge=1, le=100),\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"VIEW\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"List validation runs with cross-task filtering and pagination.\"\"\"\n logger.reason(f\"list_runs — User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n total, items = service.list_runs(\n task_id=task_id, dashboard_id=dashboard_id, environment_id=environment_id,\n status=status, date_from=date_from, date_to=date_to, page=page, page_size=page_size,\n )\n return ValidationRunListResponse(items=items, total=total, page=page, page_size=page_size)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e))\n# #endregion list_runs\n" + }, + { + "contract_id": "get_run_detail", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 234, + "end_line": 250, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "RATIONALE": "Returns full run detail including issues list and raw response for the report view — single endpoint serves the complete detail page without multiple fetches.", + "REJECTED": "Paginated issues endpoint rejected — issues per run are typically < 20 items; pagination overhead is unnecessary for such small collections." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region get_run_detail [C:4] [TYPE Function]\n# @RATIONALE Returns full run detail including issues list and raw response for the report view — single endpoint serves the complete detail page without multiple fetches.\n# @REJECTED Paginated issues endpoint rejected — issues per run are typically < 20 items; pagination overhead is unnecessary for such small collections.\n@router.get(\"/runs/{run_id}\", response_model=ValidationRunDetailResponse)\nasync def get_run_detail(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"VIEW\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"Get detailed validation run info including issues and raw response.\"\"\"\n logger.reason(f\"get_run_detail — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n try:\n return service.get_run_detail(run_id)\n except ValueError as e:\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e))\n# #endregion get_run_detail\n" + }, + { + "contract_id": "delete_run", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation.py", + "start_line": 253, + "end_line": 267, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "RATIONALE": "Returns 404 when run not found — explicit error handling rather than silent success; helps frontend distinguish between successful delete and missing resource.", + "REJECTED": "Silent success on missing run rejected — would mask bugs in the UI that reference already-deleted runs; explicit 404 helps debugging." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region delete_run [C:3] [TYPE Function]\n# @RATIONALE Returns 404 when run not found — explicit error handling rather than silent success; helps frontend distinguish between successful delete and missing resource.\n# @REJECTED Silent success on missing run rejected — would mask bugs in the UI that reference already-deleted runs; explicit 404 helps debugging.\n@router.delete(\"/runs/{run_id}\", status_code=status.HTTP_204_NO_CONTENT)\nasync def delete_run(\n run_id: str,\n current_user: User = Depends(get_current_user),\n _=Depends(has_permission(\"validation.run\", \"DELETE\")),\n service: ValidationRunService = Depends(_get_run_service),\n):\n \"\"\"Delete a validation run record.\"\"\"\n logger.reason(f\"delete_run — Run: {run_id}, User: {current_user.username}\", extra={\"src\": \"validation_routes\"})\n if not service.delete_run(run_id):\n raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=\"Run not found\")\n# #endregion delete_run\n" + }, + { + "contract_id": "ValidationApiTests", + "contract_type": "Module", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 1, + "end_line": 550, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "INVARIANT": "provider_id must reference a multimodal LLM provider for creation", + "LAYER": "API", + "PURPOSE": "Unit tests for validation task CRUD and run history API endpoints.", + "TEST_CONTRACT": "[ValidationTaskCreate|Update|RunRequest] -> [ValidationTaskResponse|RunResponse|TriggerRunResponse]", + "TEST_EDGE": "delete_task_with_runs -> 204 with delete_runs=true flag", + "TEST_SCENARIO": "delete_run -> 204 on success; 404 for nonexistent" + }, + "relations": [ + { + "source_id": "ValidationApiTests", + "relation_type": "BINDS_TO", + "target_id": "ValidationRoutes", + "target_ref": "[ValidationRoutes]" + }, + { + "source_id": "ValidationApiTests", + "relation_type": "DEPENDS_ON", + "target_id": "EXT:FastAPI:TestClient", + "target_ref": "[EXT:FastAPI:TestClient]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "TEST_CONTRACT", + "message": "@TEST_CONTRACT is not allowed for contract type 'Module'", + "detail": { + "actual_type": "Module", + "allowed_types": [ + "Function", + "Block" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "TEST_CONTRACT", + "message": "@TEST_CONTRACT is forbidden for contract type 'Module' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Module" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "TEST_EDGE", + "message": "@TEST_EDGE is not allowed for contract type 'Module'", + "detail": { + "actual_type": "Module", + "allowed_types": [ + "Function", + "Block" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "TEST_EDGE", + "message": "@TEST_EDGE is forbidden for contract type 'Module' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Module" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "TEST_SCENARIO", + "message": "@TEST_SCENARIO is not allowed for contract type 'Module'", + "detail": { + "actual_type": "Module", + "allowed_types": [ + "Function", + "Block" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "TEST_SCENARIO", + "message": "@TEST_SCENARIO is forbidden for contract type 'Module' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Module" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationApiTests [C:3] [TYPE Module] [SEMANTICS validation, api, tests, pagination, crud]\n# @BRIEF Unit tests for validation task CRUD and run history API endpoints.\n# @LAYER: API\n# @RELATION BINDS_TO -> [ValidationRoutes]\n# @RELATION DEPENDS_ON -> [EXT:FastAPI:TestClient]\n# @TEST_CONTRACT: [ValidationTaskCreate|Update|RunRequest] -> [ValidationTaskResponse|RunResponse|TriggerRunResponse]\n# @TEST_SCENARIO: list_tasks -> 200 with paginated tasks; filter by is_active/environment_id\n# @TEST_SCENARIO: create_task -> 201 with valid payload; 422 with invalid provider/environment\n# @TEST_SCENARIO: get_task -> 200 with task+recent_runs; 404 for nonexistent\n# @TEST_SCENARIO: update_task -> 200 with updated fields; 404 for nonexistent\n# @TEST_SCENARIO: delete_task -> 204 on success; 404 for nonexistent\n# @TEST_SCENARIO: trigger_run -> 200 with spawned_task_id; 422 for invalid task\n# @TEST_SCENARIO: list_runs -> 200 with 6 filters + pagination\n# @TEST_SCENARIO: get_run_detail -> 200 with issues/raw_response; 404 for nonexistent\n# @TEST_SCENARIO: delete_run -> 204 on success; 404 for nonexistent\n# @TEST_EDGE: missing_field -> 422 when required field omitted from create payload\n# @TEST_EDGE: invalid_type -> 422 when provider_id is not multimodal\n# @TEST_EDGE: external_fail -> 404/422 when task/run does not exist\n# @TEST_EDGE: delete_task_with_runs -> 204 with delete_runs=true flag\n# @INVARIANT: Every endpoint requires authentication via has_permission\n# @INVARIANT: All list endpoints support pagination (page/page_size) with defaults\n# @INVARIANT: provider_id must reference a multimodal LLM provider for creation\n\n# Set required env vars before ANY app imports — crash-early guard for AuthConfig()\nimport os\nos.environ.setdefault(\"SECRET_KEY\", \"test-secret-key-for-testing\")\nos.environ.setdefault(\"AUTH_DATABASE_URL\", \"sqlite:///:memory:test_auth\")\nos.environ.setdefault(\"DATABASE_URL\", \"sqlite:///:memory:test_main\")\nos.environ.setdefault(\"DEV_MODE\", \"true\")\n\nfrom datetime import datetime, timezone\n\nimport pytest\nfrom unittest.mock import AsyncMock, MagicMock\n\nfrom fastapi.testclient import TestClient\n\nfrom src.app import app\nfrom src.dependencies import (\n get_current_user,\n get_config_manager,\n get_task_manager,\n)\nfrom src.api.routes.validation import _get_task_service, _get_run_service\nfrom src.schemas.validation import (\n ValidationTaskListResponse,\n ValidationTaskResponse,\n ValidationRunListResponse,\n ValidationRunDetailResponse,\n TriggerRunResponse,\n)\nfrom src.models.auth import User\n\n# ── Shared mocks ───────────────────────────────────────────────────────\n\nmock_user = MagicMock(spec=User)\nmock_user.username = \"testuser\"\nmock_user.roles = []\nadmin_role = MagicMock()\nadmin_role.name = \"Admin\"\nadmin_role.permissions = []\nmock_user.roles.append(admin_role)\n\n\ndef _make_now():\n \"\"\"Return a timezone-aware UTC datetime for Pydantic v2.\"\"\"\n return datetime.now(timezone.utc)\n\n\n@pytest.fixture(autouse=True)\ndef mock_all_deps():\n \"\"\"Override service-level FastAPI dependencies with MagicMock stubs.\n\n Permission checking (has_permission) is NOT overridden — mock_user has\n Admin role which passes all permission gates implicitly.\n Fixture resets mock_user.roles before each test to prevent cross-test pollution.\n \"\"\"\n # Reset user state — Admin role passes all permission gates\n mock_user.roles = [admin_role]\n\n mock_task_service = MagicMock()\n mock_run_service = MagicMock()\n mock_task_manager = MagicMock()\n\n app.dependency_overrides[_get_task_service] = lambda: mock_task_service\n app.dependency_overrides[_get_run_service] = lambda: mock_run_service\n app.dependency_overrides[get_config_manager] = lambda: MagicMock()\n app.dependency_overrides[get_task_manager] = lambda: mock_task_manager\n app.dependency_overrides[get_current_user] = lambda: mock_user\n\n yield {\n \"task_service\": mock_task_service,\n \"run_service\": mock_run_service,\n \"task_manager\": mock_task_manager,\n }\n app.dependency_overrides.clear()\n\n\nclient = TestClient(app)\n\n\n# ── Fixtures ────────────────────────────────────────────────────────────\n\ndef _make_task_response(**overrides):\n \"\"\"Build a ValidationTaskResponse for mock returns.\"\"\"\n return ValidationTaskResponse(\n id=overrides.get(\"id\", \"task-1\"),\n name=overrides.get(\"name\", \"Test Task\"),\n environment_id=overrides.get(\"environment_id\", \"env-1\"),\n is_active=overrides.get(\"is_active\", True),\n dashboard_ids=overrides.get(\"dashboard_ids\", [\"dash-1\"]),\n provider_id=overrides.get(\"provider_id\", \"provider-1\"),\n schedule_days=None,\n window_start=None,\n window_end=None,\n notify_owners=True,\n custom_channels=None,\n alert_condition=\"FAIL_ONLY\",\n created_at=overrides.get(\"created_at\", _make_now()),\n updated_at=None,\n last_run_status=None,\n last_run_at=None,\n )\n\n\ndef _make_run_response(**overrides):\n \"\"\"Build a dict representation of a ValidationRunResponse.\"\"\"\n return {\n \"id\": overrides.get(\"id\", \"run-1\"),\n \"task_id\": overrides.get(\"task_id\", \"task-1\"),\n \"dashboard_id\": overrides.get(\"dashboard_id\", \"dash-1\"),\n \"environment_id\": overrides.get(\"environment_id\", \"env-1\"),\n \"status\": overrides.get(\"status\", \"PASS\"),\n \"summary\": overrides.get(\"summary\", \"\"),\n \"timestamp\": overrides.get(\"timestamp\", _make_now()),\n \"screenshot_path\": None,\n \"task_name\": overrides.get(\"task_name\", \"Test Task\"),\n }\n\n\n# ── Task CRUD Tests ────────────────────────────────────────────────────\n\n# #region test_list_tasks_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/tasks returns paginated task list with filters.\ndef test_list_tasks_success(mock_all_deps):\n task = _make_task_response()\n mock_all_deps[\"task_service\"].list_tasks.return_value = (1, [task])\n\n response = client.get(\"/api/validation/tasks\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"items\"][0][\"name\"] == \"Test Task\"\n assert data[\"total\"] == 1\n assert data[\"page\"] == 1\n assert data[\"page_size\"] == 20\n ValidationTaskListResponse(**data)\n\n # environment_id filter\n response = client.get(\"/api/validation/tasks?environment_id=env-1\")\n assert response.status_code == 200\n mock_all_deps[\"task_service\"].list_tasks.assert_called_with(\n is_active=None, environment_id=\"env-1\", page=1, page_size=20\n )\n# #endregion test_list_tasks_success\n\n\n# #region test_list_tasks_pagination [C:2] [TYPE Function]\n# @BRIEF Pagination query params are validated: page >= 1, page_size 1-100.\ndef test_list_tasks_pagination(mock_all_deps):\n response = client.get(\"/api/validation/tasks?page=0\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/tasks?page_size=101\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/tasks?page_size=0\")\n assert response.status_code == 422\n# #endregion test_list_tasks_pagination\n\n\n# #region test_list_tasks_service_error [C:2] [TYPE Function]\n# @BRIEF Service ValueError becomes 400 on list_tasks.\ndef test_list_tasks_service_error(mock_all_deps):\n mock_all_deps[\"task_service\"].list_tasks.side_effect = ValueError(\"Bad filter\")\n response = client.get(\"/api/validation/tasks?environment_id=nonexistent\")\n assert response.status_code == 400\n assert \"Bad filter\" in response.json()[\"detail\"]\n# #endregion test_list_tasks_service_error\n\n\n# #region test_create_task_success [C:2] [TYPE Function]\n# @BRIEF POST /validation/tasks with valid payload returns 201.\ndef test_create_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].create_task.return_value = _make_task_response()\n\n payload = {\n \"name\": \"My Validation Task\",\n \"environment_id\": \"env-1\",\n \"dashboard_ids\": [\"dash-1\"],\n \"provider_id\": \"provider-1\",\n \"notify_owners\": True,\n \"alert_condition\": \"FAIL_ONLY\",\n }\n response = client.post(\"/api/validation/tasks\", json=payload)\n assert response.status_code == 201\n data = response.json()\n assert data[\"name\"] == \"Test Task\"\n assert data[\"id\"] == \"task-1\"\n ValidationTaskResponse(**data)\n mock_all_deps[\"task_service\"].create_task.assert_called_once()\n# #endregion test_create_task_success\n\n\n# #region test_create_task_missing_fields [C:2] [TYPE Function]\n# @BRIEF POST with missing required fields returns 422.\ndef test_create_task_missing_fields(mock_all_deps):\n # Empty payload\n response = client.post(\"/api/validation/tasks\", json={})\n assert response.status_code == 422\n errors = response.json()\n assert \"detail\" in errors\n\n # Missing provider_id\n response = client.post(\"/api/validation/tasks\", json={\n \"name\": \"Test\", \"environment_id\": \"env-1\", \"dashboard_ids\": [\"dash-1\"],\n })\n assert response.status_code == 422\n\n # Missing dashboard_ids\n response = client.post(\"/api/validation/tasks\", json={\n \"name\": \"Test\", \"environment_id\": \"env-1\", \"provider_id\": \"provider-1\",\n })\n assert response.status_code == 422\n# #endregion test_create_task_missing_fields\n\n\n# #region test_create_task_invalid_provider [C:2] [TYPE Function]\n# @BRIEF POST with non-multimodal provider returns 422.\ndef test_create_task_invalid_provider(mock_all_deps):\n mock_all_deps[\"task_service\"].create_task.side_effect = ValueError(\n \"LLM provider 'GPT-3.5' is not multimodal\"\n )\n payload = {\n \"name\": \"Test\", \"environment_id\": \"env-1\",\n \"dashboard_ids\": [\"dash-1\"], \"provider_id\": \"provider-2\",\n }\n response = client.post(\"/api/validation/tasks\", json=payload)\n assert response.status_code == 422\n assert \"not multimodal\" in response.json()[\"detail\"]\n# #endregion test_create_task_invalid_provider\n\n\n# #region test_get_task_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/tasks/{id} returns task with recent_runs.\ndef test_get_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].get_task.return_value = _make_task_response()\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n\n response = client.get(\"/api/validation/tasks/task-1\")\n assert response.status_code == 200\n data = response.json()\n assert \"task\" in data\n assert \"recent_runs\" in data\n assert data[\"task\"][\"name\"] == \"Test Task\"\n mock_all_deps[\"task_service\"].get_task.assert_called_with(\"task-1\")\n# #endregion test_get_task_success\n\n\n# #region test_get_task_not_found [C:2] [TYPE Function]\n# @BRIEF GET for nonexistent task returns 404.\ndef test_get_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].get_task.side_effect = ValueError(\"not found\")\n response = client.get(\"/api/validation/tasks/nonexistent\")\n assert response.status_code == 404\n# #endregion test_get_task_not_found\n\n\n# #region test_update_task_success [C:2] [TYPE Function]\n# @BRIEF PUT /validation/tasks/{id} updates task and returns updated object.\ndef test_update_task_success(mock_all_deps):\n updated = _make_task_response(name=\"Updated Name\", is_active=False)\n mock_all_deps[\"task_service\"].update_task.return_value = updated\n\n payload = {\"name\": \"Updated Name\", \"is_active\": False}\n response = client.put(\"/api/validation/tasks/task-1\", json=payload)\n assert response.status_code == 200\n data = response.json()\n assert data[\"name\"] == \"Updated Name\"\n assert data[\"is_active\"] is False\n ValidationTaskResponse(**data)\n mock_all_deps[\"task_service\"].update_task.assert_called_once()\n# #endregion test_update_task_success\n\n\n# #region test_update_task_not_found [C:2] [TYPE Function]\n# @BRIEF PUT for nonexistent task returns 404.\ndef test_update_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].update_task.side_effect = ValueError(\"not found\")\n payload = {\"name\": \"Nope\"}\n response = client.put(\"/api/validation/tasks/nonexistent\", json=payload)\n assert response.status_code == 404\n# #endregion test_update_task_not_found\n\n\n# #region test_delete_task_success [C:2] [TYPE Function]\n# @BRIEF DELETE /validation/tasks/{id} returns 204.\ndef test_delete_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=False)\n# #endregion test_delete_task_success\n\n\n# #region test_delete_task_not_found [C:2] [TYPE Function]\n# @BRIEF DELETE for nonexistent task returns 404.\ndef test_delete_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.side_effect = ValueError(\"not found\")\n response = client.delete(\"/api/validation/tasks/nonexistent\")\n assert response.status_code == 404\n# #endregion test_delete_task_not_found\n\n\n# #region test_delete_task_with_runs_flag [C:2] [TYPE Function]\n# @BRIEF DELETE with delete_runs=true passes query param to service.\ndef test_delete_task_with_runs_flag(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1?delete_runs=true\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=True)\n# #endregion test_delete_task_with_runs_flag\n\n\n# #region test_trigger_run_success [C:2] [TYPE Function]\n# @BRIEF POST /validation/tasks/{id}/run spawns a validation task.\ndef test_trigger_run_success(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(return_value=\"spawned-1\")\n mock_all_deps[\"task_manager\"].create_task = AsyncMock()\n\n response = client.post(\"/api/validation/tasks/task-1/run\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"task_id\"] == \"task-1\"\n assert data[\"spawned_task_id\"] == \"spawned-1\"\n assert data[\"status\"] == \"PENDING\"\n TriggerRunResponse(**data)\n# #endregion test_trigger_run_success\n\n\n# #region test_trigger_run_not_found [C:2] [TYPE Function]\n# @BRIEF POST for nonexistent task returns 422.\ndef test_trigger_run_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(\n side_effect=ValueError(\"Validation task 'nonexistent' not found\")\n )\n response = client.post(\"/api/validation/tasks/nonexistent/run\")\n assert response.status_code == 422\n assert \"not found\" in response.json()[\"detail\"]\n# #endregion test_trigger_run_not_found\n\n\n# #region test_trigger_run_no_dashboards [C:2] [TYPE Function]\n# @BRIEF Trigger fails with 422 when task has no dashboard IDs.\ndef test_trigger_run_no_dashboards(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(\n side_effect=ValueError(\"has no dashboard IDs configured\")\n )\n response = client.post(\"/api/validation/tasks/task-1/run\")\n assert response.status_code == 422\n assert \"no dashboard IDs\" in response.json()[\"detail\"]\n# #endregion test_trigger_run_no_dashboards\n\n\n# ── Run History Tests ──────────────────────────────────────────────────\n\n# #region test_list_runs_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/runs returns paginated run list.\ndef test_list_runs_success(mock_all_deps):\n run = _make_run_response()\n mock_all_deps[\"run_service\"].list_runs.return_value = (1, [run])\n\n response = client.get(\"/api/validation/runs\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"items\"][0][\"id\"] == \"run-1\"\n assert data[\"total\"] == 1\n ValidationRunListResponse(**data)\n# #endregion test_list_runs_success\n\n\n# #region test_list_runs_filters [C:2] [TYPE Function]\n# @BRIEF All 6 filter query params are accepted and forwarded to service.\ndef test_list_runs_filters(mock_all_deps):\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n\n for query in [\n \"?task_id=task-1\",\n \"?dashboard_id=dash-1\",\n \"?environment_id=env-1\",\n \"?status=PASS\",\n \"?date_from=2026-01-01\",\n \"?date_to=2026-12-31\",\n \"?status=PASS&dashboard_id=dash-1&date_from=2026-01-01\",\n ]:\n response = client.get(f\"/api/validation/runs{query}\")\n assert response.status_code == 200, f\"Filter query failed: {query}\"\n# #endregion test_list_runs_filters\n\n\n# #region test_list_runs_pagination [C:2] [TYPE Function]\n# @BRIEF Pagination boundary checks on runs list.\ndef test_list_runs_pagination(mock_all_deps):\n response = client.get(\"/api/validation/runs?page=0\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/runs?page_size=101\")\n assert response.status_code == 422\n# #endregion test_list_runs_pagination\n\n\n# #region test_list_runs_invalid_status [C:2] [TYPE Function]\n# @BRIEF Status is a free string; any value passes through to service.\ndef test_list_runs_invalid_status(mock_all_deps):\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n response = client.get(\"/api/validation/runs?status=INVALID_STATUS_XYZ\")\n assert response.status_code == 200\n call_kwargs = mock_all_deps[\"run_service\"].list_runs.call_args[1]\n assert call_kwargs.get(\"status\") == \"INVALID_STATUS_XYZ\"\n# #endregion test_list_runs_invalid_status\n\n\n# #region test_get_run_detail_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/runs/{id} returns full detail with issues and raw_response.\ndef test_get_run_detail_success(mock_all_deps):\n mock_all_deps[\"run_service\"].get_run_detail.return_value = ValidationRunDetailResponse(\n id=\"run-1\",\n task_id=\"task-1\",\n dashboard_id=\"dash-1\",\n environment_id=\"env-1\",\n status=\"FAIL\",\n summary=\"Charts failed to render\",\n timestamp=_make_now(),\n screenshot_path=\"/tmp/screenshots/run-1.png\",\n issues=[{\"severity\": \"HIGH\", \"message\": \"Chart timeout\"}],\n raw_response='{\"status\": \"error\"}',\n task_name=\"Test Task\",\n )\n\n response = client.get(\"/api/validation/runs/run-1\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"status\"] == \"FAIL\"\n assert len(data[\"issues\"]) == 1\n assert data[\"raw_response\"] is not None\n ValidationRunDetailResponse(**data)\n# #endregion test_get_run_detail_success\n\n\n# #region test_get_run_detail_not_found [C:2] [TYPE Function]\n# @BRIEF GET for nonexistent run returns 404.\ndef test_get_run_detail_not_found(mock_all_deps):\n mock_all_deps[\"run_service\"].get_run_detail.side_effect = ValueError(\"not found\")\n response = client.get(\"/api/validation/runs/nonexistent\")\n assert response.status_code == 404\n# #endregion test_get_run_detail_not_found\n\n\n# #region test_delete_run_success [C:2] [TYPE Function]\n# @BRIEF DELETE /validation/runs/{id} returns 204.\ndef test_delete_run_success(mock_all_deps):\n mock_all_deps[\"run_service\"].delete_run.return_value = True\n response = client.delete(\"/api/validation/runs/run-1\")\n assert response.status_code == 204\n mock_all_deps[\"run_service\"].delete_run.assert_called_with(\"run-1\")\n# #endregion test_delete_run_success\n\n\n# #region test_delete_run_not_found [C:2] [TYPE Function]\n# @BRIEF DELETE for nonexistent run returns 404.\ndef test_delete_run_not_found(mock_all_deps):\n mock_all_deps[\"run_service\"].delete_run.return_value = False\n response = client.delete(\"/api/validation/runs/nonexistent\")\n assert response.status_code == 404\n# #endregion test_delete_run_not_found\n\n\n# ── Auth / Permission Tests ────────────────────────────────────────────\n\n# #region test_endpoints_require_authentication [C:2] [TYPE Function]\n# @BRIEF Without current_user dependency, all 9 endpoints return 401.\ndef test_endpoints_require_authentication(mock_all_deps):\n app.dependency_overrides.pop(get_current_user, None)\n endpoints = [\n (\"GET\", \"/api/validation/tasks\"),\n (\"POST\", \"/api/validation/tasks\"),\n (\"GET\", \"/api/validation/tasks/task-1\"),\n (\"PUT\", \"/api/validation/tasks/task-1\"),\n (\"DELETE\", \"/api/validation/tasks/task-1\"),\n (\"POST\", \"/api/validation/tasks/task-1/run\"),\n (\"GET\", \"/api/validation/runs\"),\n (\"GET\", \"/api/validation/runs/run-1\"),\n (\"DELETE\", \"/api/validation/runs/run-1\"),\n ]\n for method, path in endpoints:\n response = client.request(method, path)\n assert response.status_code == 401, f\"{method} {path} expected 401 got {response.status_code}\"\n# #endregion test_endpoints_require_authentication\n\n\n# #region test_permission_denied_non_admin [C:2] [TYPE Function]\n# @BRIEF A non-admin user without validation.* permissions receives 403.\ndef test_permission_denied_non_admin(mock_all_deps):\n \"\"\"Remove Admin role so has_permission raises 403.\"\"\"\n mock_user.roles = [] # No Admin, no permissions\n response = client.get(\"/api/validation/tasks\")\n assert response.status_code == 403\n# #endregion test_permission_denied_non_admin\n\n\n# #region test_permission_denied_all_actions [C:2] [TYPE Function]\n# @BRIEF Each action (VIEW, CREATE, EDIT, DELETE, EXECUTE) denied for non-admin.\ndef test_permission_denied_all_actions(mock_all_deps):\n mock_user.roles = []\n action_endpoints = [\n (\"GET\", \"/api/validation/tasks\"),\n (\"POST\", \"/api/validation/tasks\"),\n (\"GET\", \"/api/validation/tasks/task-1\"),\n (\"PUT\", \"/api/validation/tasks/task-1\"),\n (\"DELETE\", \"/api/validation/tasks/task-1\"),\n (\"POST\", \"/api/validation/tasks/task-1/run\"),\n (\"GET\", \"/api/validation/runs\"),\n (\"GET\", \"/api/validation/runs/run-1\"),\n (\"DELETE\", \"/api/validation/runs/run-1\"),\n ]\n for method, path in action_endpoints:\n response = client.request(method, path)\n assert response.status_code == 403, f\"{method} {path} expected 403 got {response.status_code}\"\n# #endregion test_permission_denied_all_actions\n\n\n# #region test_delete_task_runs_default_false [C:2] [TYPE Function]\n# @BRIEF delete_runs query param defaults to False.\ndef test_delete_task_runs_default_false(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=False)\n# #endregion test_delete_task_runs_default_false\n\n# #endregion ValidationApiTests\n" + }, + { + "contract_id": "test_list_tasks_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 143, + "end_line": 164, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET /validation/tasks returns paginated task list with filters." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_tasks_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/tasks returns paginated task list with filters.\ndef test_list_tasks_success(mock_all_deps):\n task = _make_task_response()\n mock_all_deps[\"task_service\"].list_tasks.return_value = (1, [task])\n\n response = client.get(\"/api/validation/tasks\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"items\"][0][\"name\"] == \"Test Task\"\n assert data[\"total\"] == 1\n assert data[\"page\"] == 1\n assert data[\"page_size\"] == 20\n ValidationTaskListResponse(**data)\n\n # environment_id filter\n response = client.get(\"/api/validation/tasks?environment_id=env-1\")\n assert response.status_code == 200\n mock_all_deps[\"task_service\"].list_tasks.assert_called_with(\n is_active=None, environment_id=\"env-1\", page=1, page_size=20\n )\n# #endregion test_list_tasks_success\n" + }, + { + "contract_id": "test_list_tasks_pagination", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 167, + "end_line": 178, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Pagination query params are validated: page >= 1, page_size 1-100." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_tasks_pagination [C:2] [TYPE Function]\n# @BRIEF Pagination query params are validated: page >= 1, page_size 1-100.\ndef test_list_tasks_pagination(mock_all_deps):\n response = client.get(\"/api/validation/tasks?page=0\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/tasks?page_size=101\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/tasks?page_size=0\")\n assert response.status_code == 422\n# #endregion test_list_tasks_pagination\n" + }, + { + "contract_id": "test_list_tasks_service_error", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 181, + "end_line": 188, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Service ValueError becomes 400 on list_tasks." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_tasks_service_error [C:2] [TYPE Function]\n# @BRIEF Service ValueError becomes 400 on list_tasks.\ndef test_list_tasks_service_error(mock_all_deps):\n mock_all_deps[\"task_service\"].list_tasks.side_effect = ValueError(\"Bad filter\")\n response = client.get(\"/api/validation/tasks?environment_id=nonexistent\")\n assert response.status_code == 400\n assert \"Bad filter\" in response.json()[\"detail\"]\n# #endregion test_list_tasks_service_error\n" + }, + { + "contract_id": "test_create_task_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 191, + "end_line": 211, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "POST /validation/tasks with valid payload returns 201." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_create_task_success [C:2] [TYPE Function]\n# @BRIEF POST /validation/tasks with valid payload returns 201.\ndef test_create_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].create_task.return_value = _make_task_response()\n\n payload = {\n \"name\": \"My Validation Task\",\n \"environment_id\": \"env-1\",\n \"dashboard_ids\": [\"dash-1\"],\n \"provider_id\": \"provider-1\",\n \"notify_owners\": True,\n \"alert_condition\": \"FAIL_ONLY\",\n }\n response = client.post(\"/api/validation/tasks\", json=payload)\n assert response.status_code == 201\n data = response.json()\n assert data[\"name\"] == \"Test Task\"\n assert data[\"id\"] == \"task-1\"\n ValidationTaskResponse(**data)\n mock_all_deps[\"task_service\"].create_task.assert_called_once()\n# #endregion test_create_task_success\n" + }, + { + "contract_id": "test_create_task_missing_fields", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 214, + "end_line": 234, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "POST with missing required fields returns 422." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_create_task_missing_fields [C:2] [TYPE Function]\n# @BRIEF POST with missing required fields returns 422.\ndef test_create_task_missing_fields(mock_all_deps):\n # Empty payload\n response = client.post(\"/api/validation/tasks\", json={})\n assert response.status_code == 422\n errors = response.json()\n assert \"detail\" in errors\n\n # Missing provider_id\n response = client.post(\"/api/validation/tasks\", json={\n \"name\": \"Test\", \"environment_id\": \"env-1\", \"dashboard_ids\": [\"dash-1\"],\n })\n assert response.status_code == 422\n\n # Missing dashboard_ids\n response = client.post(\"/api/validation/tasks\", json={\n \"name\": \"Test\", \"environment_id\": \"env-1\", \"provider_id\": \"provider-1\",\n })\n assert response.status_code == 422\n# #endregion test_create_task_missing_fields\n" + }, + { + "contract_id": "test_create_task_invalid_provider", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 237, + "end_line": 250, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "POST with non-multimodal provider returns 422." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_create_task_invalid_provider [C:2] [TYPE Function]\n# @BRIEF POST with non-multimodal provider returns 422.\ndef test_create_task_invalid_provider(mock_all_deps):\n mock_all_deps[\"task_service\"].create_task.side_effect = ValueError(\n \"LLM provider 'GPT-3.5' is not multimodal\"\n )\n payload = {\n \"name\": \"Test\", \"environment_id\": \"env-1\",\n \"dashboard_ids\": [\"dash-1\"], \"provider_id\": \"provider-2\",\n }\n response = client.post(\"/api/validation/tasks\", json=payload)\n assert response.status_code == 422\n assert \"not multimodal\" in response.json()[\"detail\"]\n# #endregion test_create_task_invalid_provider\n" + }, + { + "contract_id": "test_get_task_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 253, + "end_line": 266, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET /validation/tasks/{id} returns task with recent_runs." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_get_task_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/tasks/{id} returns task with recent_runs.\ndef test_get_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].get_task.return_value = _make_task_response()\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n\n response = client.get(\"/api/validation/tasks/task-1\")\n assert response.status_code == 200\n data = response.json()\n assert \"task\" in data\n assert \"recent_runs\" in data\n assert data[\"task\"][\"name\"] == \"Test Task\"\n mock_all_deps[\"task_service\"].get_task.assert_called_with(\"task-1\")\n# #endregion test_get_task_success\n" + }, + { + "contract_id": "test_get_task_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 269, + "end_line": 275, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET for nonexistent task returns 404." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_get_task_not_found [C:2] [TYPE Function]\n# @BRIEF GET for nonexistent task returns 404.\ndef test_get_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].get_task.side_effect = ValueError(\"not found\")\n response = client.get(\"/api/validation/tasks/nonexistent\")\n assert response.status_code == 404\n# #endregion test_get_task_not_found\n" + }, + { + "contract_id": "test_update_task_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 278, + "end_line": 292, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "PUT /validation/tasks/{id} updates task and returns updated object." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_update_task_success [C:2] [TYPE Function]\n# @BRIEF PUT /validation/tasks/{id} updates task and returns updated object.\ndef test_update_task_success(mock_all_deps):\n updated = _make_task_response(name=\"Updated Name\", is_active=False)\n mock_all_deps[\"task_service\"].update_task.return_value = updated\n\n payload = {\"name\": \"Updated Name\", \"is_active\": False}\n response = client.put(\"/api/validation/tasks/task-1\", json=payload)\n assert response.status_code == 200\n data = response.json()\n assert data[\"name\"] == \"Updated Name\"\n assert data[\"is_active\"] is False\n ValidationTaskResponse(**data)\n mock_all_deps[\"task_service\"].update_task.assert_called_once()\n# #endregion test_update_task_success\n" + }, + { + "contract_id": "test_update_task_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 295, + "end_line": 302, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "PUT for nonexistent task returns 404." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_update_task_not_found [C:2] [TYPE Function]\n# @BRIEF PUT for nonexistent task returns 404.\ndef test_update_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].update_task.side_effect = ValueError(\"not found\")\n payload = {\"name\": \"Nope\"}\n response = client.put(\"/api/validation/tasks/nonexistent\", json=payload)\n assert response.status_code == 404\n# #endregion test_update_task_not_found\n" + }, + { + "contract_id": "test_delete_task_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 305, + "end_line": 312, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "DELETE /validation/tasks/{id} returns 204." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_task_success [C:2] [TYPE Function]\n# @BRIEF DELETE /validation/tasks/{id} returns 204.\ndef test_delete_task_success(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=False)\n# #endregion test_delete_task_success\n" + }, + { + "contract_id": "test_delete_task_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 315, + "end_line": 321, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "DELETE for nonexistent task returns 404." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_task_not_found [C:2] [TYPE Function]\n# @BRIEF DELETE for nonexistent task returns 404.\ndef test_delete_task_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.side_effect = ValueError(\"not found\")\n response = client.delete(\"/api/validation/tasks/nonexistent\")\n assert response.status_code == 404\n# #endregion test_delete_task_not_found\n" + }, + { + "contract_id": "test_delete_task_with_runs_flag", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 324, + "end_line": 331, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "DELETE with delete_runs=true passes query param to service." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_task_with_runs_flag [C:2] [TYPE Function]\n# @BRIEF DELETE with delete_runs=true passes query param to service.\ndef test_delete_task_with_runs_flag(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1?delete_runs=true\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=True)\n# #endregion test_delete_task_with_runs_flag\n" + }, + { + "contract_id": "test_trigger_run_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 334, + "end_line": 347, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "POST /validation/tasks/{id}/run spawns a validation task." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_trigger_run_success [C:2] [TYPE Function]\n# @BRIEF POST /validation/tasks/{id}/run spawns a validation task.\ndef test_trigger_run_success(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(return_value=\"spawned-1\")\n mock_all_deps[\"task_manager\"].create_task = AsyncMock()\n\n response = client.post(\"/api/validation/tasks/task-1/run\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"task_id\"] == \"task-1\"\n assert data[\"spawned_task_id\"] == \"spawned-1\"\n assert data[\"status\"] == \"PENDING\"\n TriggerRunResponse(**data)\n# #endregion test_trigger_run_success\n" + }, + { + "contract_id": "test_trigger_run_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 350, + "end_line": 359, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "POST for nonexistent task returns 422." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_trigger_run_not_found [C:2] [TYPE Function]\n# @BRIEF POST for nonexistent task returns 422.\ndef test_trigger_run_not_found(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(\n side_effect=ValueError(\"Validation task 'nonexistent' not found\")\n )\n response = client.post(\"/api/validation/tasks/nonexistent/run\")\n assert response.status_code == 422\n assert \"not found\" in response.json()[\"detail\"]\n# #endregion test_trigger_run_not_found\n" + }, + { + "contract_id": "test_trigger_run_no_dashboards", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 362, + "end_line": 371, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Trigger fails with 422 when task has no dashboard IDs." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_trigger_run_no_dashboards [C:2] [TYPE Function]\n# @BRIEF Trigger fails with 422 when task has no dashboard IDs.\ndef test_trigger_run_no_dashboards(mock_all_deps):\n mock_all_deps[\"task_service\"].trigger_run = AsyncMock(\n side_effect=ValueError(\"has no dashboard IDs configured\")\n )\n response = client.post(\"/api/validation/tasks/task-1/run\")\n assert response.status_code == 422\n assert \"no dashboard IDs\" in response.json()[\"detail\"]\n# #endregion test_trigger_run_no_dashboards\n" + }, + { + "contract_id": "test_list_runs_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 376, + "end_line": 388, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET /validation/runs returns paginated run list." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_runs_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/runs returns paginated run list.\ndef test_list_runs_success(mock_all_deps):\n run = _make_run_response()\n mock_all_deps[\"run_service\"].list_runs.return_value = (1, [run])\n\n response = client.get(\"/api/validation/runs\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"items\"][0][\"id\"] == \"run-1\"\n assert data[\"total\"] == 1\n ValidationRunListResponse(**data)\n# #endregion test_list_runs_success\n" + }, + { + "contract_id": "test_list_runs_filters", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 391, + "end_line": 407, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "All 6 filter query params are accepted and forwarded to service." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_runs_filters [C:2] [TYPE Function]\n# @BRIEF All 6 filter query params are accepted and forwarded to service.\ndef test_list_runs_filters(mock_all_deps):\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n\n for query in [\n \"?task_id=task-1\",\n \"?dashboard_id=dash-1\",\n \"?environment_id=env-1\",\n \"?status=PASS\",\n \"?date_from=2026-01-01\",\n \"?date_to=2026-12-31\",\n \"?status=PASS&dashboard_id=dash-1&date_from=2026-01-01\",\n ]:\n response = client.get(f\"/api/validation/runs{query}\")\n assert response.status_code == 200, f\"Filter query failed: {query}\"\n# #endregion test_list_runs_filters\n" + }, + { + "contract_id": "test_list_runs_pagination", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 410, + "end_line": 418, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Pagination boundary checks on runs list." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_runs_pagination [C:2] [TYPE Function]\n# @BRIEF Pagination boundary checks on runs list.\ndef test_list_runs_pagination(mock_all_deps):\n response = client.get(\"/api/validation/runs?page=0\")\n assert response.status_code == 422\n\n response = client.get(\"/api/validation/runs?page_size=101\")\n assert response.status_code == 422\n# #endregion test_list_runs_pagination\n" + }, + { + "contract_id": "test_list_runs_invalid_status", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 421, + "end_line": 429, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Status is a free string; any value passes through to service." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_list_runs_invalid_status [C:2] [TYPE Function]\n# @BRIEF Status is a free string; any value passes through to service.\ndef test_list_runs_invalid_status(mock_all_deps):\n mock_all_deps[\"run_service\"].list_runs.return_value = (0, [])\n response = client.get(\"/api/validation/runs?status=INVALID_STATUS_XYZ\")\n assert response.status_code == 200\n call_kwargs = mock_all_deps[\"run_service\"].list_runs.call_args[1]\n assert call_kwargs.get(\"status\") == \"INVALID_STATUS_XYZ\"\n# #endregion test_list_runs_invalid_status\n" + }, + { + "contract_id": "test_get_run_detail_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 432, + "end_line": 456, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET /validation/runs/{id} returns full detail with issues and raw_response." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_get_run_detail_success [C:2] [TYPE Function]\n# @BRIEF GET /validation/runs/{id} returns full detail with issues and raw_response.\ndef test_get_run_detail_success(mock_all_deps):\n mock_all_deps[\"run_service\"].get_run_detail.return_value = ValidationRunDetailResponse(\n id=\"run-1\",\n task_id=\"task-1\",\n dashboard_id=\"dash-1\",\n environment_id=\"env-1\",\n status=\"FAIL\",\n summary=\"Charts failed to render\",\n timestamp=_make_now(),\n screenshot_path=\"/tmp/screenshots/run-1.png\",\n issues=[{\"severity\": \"HIGH\", \"message\": \"Chart timeout\"}],\n raw_response='{\"status\": \"error\"}',\n task_name=\"Test Task\",\n )\n\n response = client.get(\"/api/validation/runs/run-1\")\n assert response.status_code == 200\n data = response.json()\n assert data[\"status\"] == \"FAIL\"\n assert len(data[\"issues\"]) == 1\n assert data[\"raw_response\"] is not None\n ValidationRunDetailResponse(**data)\n# #endregion test_get_run_detail_success\n" + }, + { + "contract_id": "test_get_run_detail_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 459, + "end_line": 465, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "GET for nonexistent run returns 404." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_get_run_detail_not_found [C:2] [TYPE Function]\n# @BRIEF GET for nonexistent run returns 404.\ndef test_get_run_detail_not_found(mock_all_deps):\n mock_all_deps[\"run_service\"].get_run_detail.side_effect = ValueError(\"not found\")\n response = client.get(\"/api/validation/runs/nonexistent\")\n assert response.status_code == 404\n# #endregion test_get_run_detail_not_found\n" + }, + { + "contract_id": "test_delete_run_success", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 468, + "end_line": 475, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "DELETE /validation/runs/{id} returns 204." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_run_success [C:2] [TYPE Function]\n# @BRIEF DELETE /validation/runs/{id} returns 204.\ndef test_delete_run_success(mock_all_deps):\n mock_all_deps[\"run_service\"].delete_run.return_value = True\n response = client.delete(\"/api/validation/runs/run-1\")\n assert response.status_code == 204\n mock_all_deps[\"run_service\"].delete_run.assert_called_with(\"run-1\")\n# #endregion test_delete_run_success\n" + }, + { + "contract_id": "test_delete_run_not_found", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 478, + "end_line": 484, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "DELETE for nonexistent run returns 404." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_run_not_found [C:2] [TYPE Function]\n# @BRIEF DELETE for nonexistent run returns 404.\ndef test_delete_run_not_found(mock_all_deps):\n mock_all_deps[\"run_service\"].delete_run.return_value = False\n response = client.delete(\"/api/validation/runs/nonexistent\")\n assert response.status_code == 404\n# #endregion test_delete_run_not_found\n" + }, + { + "contract_id": "test_endpoints_require_authentication", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 489, + "end_line": 507, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Without current_user dependency, all 9 endpoints return 401." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_endpoints_require_authentication [C:2] [TYPE Function]\n# @BRIEF Without current_user dependency, all 9 endpoints return 401.\ndef test_endpoints_require_authentication(mock_all_deps):\n app.dependency_overrides.pop(get_current_user, None)\n endpoints = [\n (\"GET\", \"/api/validation/tasks\"),\n (\"POST\", \"/api/validation/tasks\"),\n (\"GET\", \"/api/validation/tasks/task-1\"),\n (\"PUT\", \"/api/validation/tasks/task-1\"),\n (\"DELETE\", \"/api/validation/tasks/task-1\"),\n (\"POST\", \"/api/validation/tasks/task-1/run\"),\n (\"GET\", \"/api/validation/runs\"),\n (\"GET\", \"/api/validation/runs/run-1\"),\n (\"DELETE\", \"/api/validation/runs/run-1\"),\n ]\n for method, path in endpoints:\n response = client.request(method, path)\n assert response.status_code == 401, f\"{method} {path} expected 401 got {response.status_code}\"\n# #endregion test_endpoints_require_authentication\n" + }, + { + "contract_id": "test_permission_denied_non_admin", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 510, + "end_line": 517, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "A non-admin user without validation.* permissions receives 403." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_permission_denied_non_admin [C:2] [TYPE Function]\n# @BRIEF A non-admin user without validation.* permissions receives 403.\ndef test_permission_denied_non_admin(mock_all_deps):\n \"\"\"Remove Admin role so has_permission raises 403.\"\"\"\n mock_user.roles = [] # No Admin, no permissions\n response = client.get(\"/api/validation/tasks\")\n assert response.status_code == 403\n# #endregion test_permission_denied_non_admin\n" + }, + { + "contract_id": "test_permission_denied_all_actions", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 520, + "end_line": 538, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Each action (VIEW, CREATE, EDIT, DELETE, EXECUTE) denied for non-admin." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_permission_denied_all_actions [C:2] [TYPE Function]\n# @BRIEF Each action (VIEW, CREATE, EDIT, DELETE, EXECUTE) denied for non-admin.\ndef test_permission_denied_all_actions(mock_all_deps):\n mock_user.roles = []\n action_endpoints = [\n (\"GET\", \"/api/validation/tasks\"),\n (\"POST\", \"/api/validation/tasks\"),\n (\"GET\", \"/api/validation/tasks/task-1\"),\n (\"PUT\", \"/api/validation/tasks/task-1\"),\n (\"DELETE\", \"/api/validation/tasks/task-1\"),\n (\"POST\", \"/api/validation/tasks/task-1/run\"),\n (\"GET\", \"/api/validation/runs\"),\n (\"GET\", \"/api/validation/runs/run-1\"),\n (\"DELETE\", \"/api/validation/runs/run-1\"),\n ]\n for method, path in action_endpoints:\n response = client.request(method, path)\n assert response.status_code == 403, f\"{method} {path} expected 403 got {response.status_code}\"\n# #endregion test_permission_denied_all_actions\n" + }, + { + "contract_id": "test_delete_task_runs_default_false", + "contract_type": "Function", + "file_path": "backend/src/api/routes/validation/__tests__/test_validation_api.py", + "start_line": 541, + "end_line": 548, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "delete_runs query param defaults to False." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region test_delete_task_runs_default_false [C:2] [TYPE Function]\n# @BRIEF delete_runs query param defaults to False.\ndef test_delete_task_runs_default_false(mock_all_deps):\n mock_all_deps[\"task_service\"].delete_task.return_value = None\n response = client.delete(\"/api/validation/tasks/task-1\")\n assert response.status_code == 204\n mock_all_deps[\"task_service\"].delete_task.assert_called_with(\"task-1\", delete_runs=False)\n# #endregion test_delete_task_runs_default_false\n" + }, { "contract_id": "AppModule", "contract_type": "Module", "file_path": "backend/src/app.py", "start_line": 1, - "end_line": 440, + "end_line": 465, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -16281,7 +17601,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region AppModule [C:5] [TYPE Module] [SEMANTICS fastapi, websocket, startup, scheduler, middleware]\n# @BRIEF The main entry point for the FastAPI application.\n# @LAYER API\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @INVARIANT All WebSocket connections must be properly cleaned up on disconnect.\n# @PRE Python environment and dependencies installed; configuration database available.\n# @POST FastAPI app instance is created, middleware configured, and routes registered.\n# @SIDE_EFFECT Starts background scheduler and binds network ports for HTTP/WS traffic.\n# @DATA_CONTRACT [HTTP Request | WS Message] -> [HTTP Response | JSON Log Stream]\n# @RATIONALE Duplicate @RELATION and @INVARIANT lines removed from header. Import sorting unified via ruff isort (I) rule across src/ — 139 fixes applied.\n\nimport os\nfrom pathlib import Path\n\n# project_root is used for static files mounting\nproject_root = Path(__file__).resolve().parent.parent.parent\nimport asyncio\n\nfrom fastapi import FastAPI, HTTPException, Request, WebSocket, WebSocketDisconnect\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\nfrom starlette.middleware.sessions import SessionMiddleware\n\nfrom .api import auth\nfrom .api.routes import (\n admin,\n assistant,\n clean_release,\n clean_release_v2,\n connections,\n dashboards,\n dataset_review,\n datasets,\n environments,\n git,\n health,\n llm,\n mappings,\n migration,\n plugins,\n profile,\n reports,\n settings,\n storage,\n tasks,\n translate,\n)\nfrom .core.auth.security import get_password_hash\nfrom .core.cot_logger import seed_trace_id\nfrom .core.database import AuthSessionLocal, init_db\nfrom .core.encryption_key import ensure_encryption_key\nfrom .core.logger import belief_scope, logger\nfrom .core.utils.network import NetworkError\nfrom .dependencies import get_scheduler_service, get_task_manager\nfrom .models.auth import Role, User\n\n# #region FastAPI_App [C:3] [TYPE Global] [SEMANTICS app, fastapi, instance, route-registry]\n# @BRIEF Canonical FastAPI application instance for route, middleware, and websocket registration.\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @RELATION BINDS_TO -> [API_Routes]\napp = FastAPI(\n title=\"Superset Tools API\",\n description=\"API for managing Superset automation tools and plugins.\",\n version=\"1.0.0\",\n)\n# #endregion FastAPI_App\n# #region ensure_initial_admin_user [C:3] [TYPE Function]\n# @BRIEF Ensures initial admin user exists when bootstrap env flags are enabled.\n# @RELATION DEPENDS_ON -> AuthRepository\ndef ensure_initial_admin_user() -> None:\n raw_flag = os.getenv(\"INITIAL_ADMIN_CREATE\", \"false\").strip().lower()\n if raw_flag not in {\"1\", \"true\", \"yes\", \"on\"}:\n return\n username = os.getenv(\"INITIAL_ADMIN_USERNAME\", \"\").strip()\n password = os.getenv(\"INITIAL_ADMIN_PASSWORD\", \"\").strip()\n if not username or not password:\n logger.warning(\n \"INITIAL_ADMIN_CREATE is enabled but INITIAL_ADMIN_USERNAME/INITIAL_ADMIN_PASSWORD is missing; skipping bootstrap.\"\n )\n return\n db = AuthSessionLocal()\n try:\n admin_role = db.query(Role).filter(Role.name == \"Admin\").first()\n if not admin_role:\n admin_role = Role(name=\"Admin\", description=\"System Administrator\")\n db.add(admin_role)\n db.commit()\n db.refresh(admin_role)\n existing_user = db.query(User).filter(User.username == username).first()\n if existing_user:\n logger.info(\n \"Initial admin bootstrap skipped: user '%s' already exists.\", username\n )\n return\n new_user = User(\n username=username,\n email=None,\n password_hash=get_password_hash(password),\n auth_source=\"LOCAL\",\n is_active=True,\n )\n new_user.roles.append(admin_role)\n db.add(new_user)\n db.commit()\n logger.info(\n \"Initial admin user '%s' created from environment bootstrap.\", username\n )\n except Exception as exc:\n db.rollback()\n logger.error(\"Failed to bootstrap initial admin user: %s\", exc)\n raise\n finally:\n db.close()\n# #endregion ensure_initial_admin_user\n# #region startup_event [C:3] [TYPE Function]\n# @BRIEF Handles application startup tasks, such as starting the scheduler.\n# @RELATION CALLS -> [AppDependencies]\n# @PRE None.\n# @POST Scheduler is started.\n# Startup event\n@app.on_event(\"startup\")\nasync def startup_event():\n seed_trace_id()\n with belief_scope(\"startup_event\"):\n ensure_encryption_key()\n init_db()\n ensure_initial_admin_user()\n scheduler = get_scheduler_service()\n scheduler.start()\n# #endregion startup_event\n# #region shutdown_event [C:3] [TYPE Function]\n# @BRIEF Handles application shutdown tasks, such as stopping the scheduler.\n# @RELATION CALLS -> [AppDependencies]\n# @PRE None.\n# @POST Scheduler is stopped.\n# Shutdown event\n@app.on_event(\"shutdown\")\nasync def shutdown_event():\n seed_trace_id()\n with belief_scope(\"shutdown_event\"):\n scheduler = get_scheduler_service()\n scheduler.stop()\n# #endregion shutdown_event\n# #region app_middleware [TYPE Block]\n# @BRIEF Configure application-wide middleware (Session, CORS).\n# @RATIONALE CORS allow_origins reads from ALLOWED_ORIGINS env var instead of hardcoded \"*\".\n# Default \"*\" is safe for dev; production must set ALLOWED_ORIGINS to explicit list.\n# @REJECTED Hardcoded allow_origins=[\"*\"] rejected — open CORS allows any origin to access the API,\n# which is a Class 1 security violation in production.\n\n# Configure Session Middleware (required by Authlib for OAuth2 flow)\nfrom .core.auth.config import auth_config\n\napp.add_middleware(SessionMiddleware, secret_key=auth_config.SECRET_KEY)\n# Configure CORS\napp.add_middleware(\n CORSMiddleware,\n allow_origins=os.getenv(\"ALLOWED_ORIGINS\", \"*\").split(\",\"),\n allow_credentials=True,\n allow_methods=[\"*\"],\n allow_headers=[\"*\"],\n)\n# #endregion app_middleware\n# #region network_error_handler [C:1] [TYPE Function]\n# @BRIEF Global exception handler for NetworkError.\n# @PRE request is a FastAPI Request object.\n# @POST Returns 503 HTTP Exception.\n@app.exception_handler(NetworkError)\nasync def network_error_handler(request: Request, exc: NetworkError):\n with belief_scope(\"network_error_handler\"):\n logger.error(f\"Network error: {exc}\")\n return HTTPException(\n status_code=503,\n detail=\"Environment unavailable. Please check if the Superset instance is running.\",\n )\n# #endregion network_error_handler\n# #region log_requests [C:3] [TYPE Function]\n# @BRIEF Middleware to log incoming HTTP requests and their response status.\n# @RELATION DEPENDS_ON -> [LoggerModule]\n# @PRE request is a FastAPI Request object.\n# @POST Logs request and response details.\n@app.middleware(\"http\")\nasync def log_requests(request: Request, call_next):\n with belief_scope(\"log_requests\"):\n # Avoid spamming logs for polling endpoints\n is_polling = request.url.path.endswith(\"/api/tasks\") and request.method == \"GET\"\n if not is_polling:\n logger.info(f\"Incoming request: {request.method} {request.url.path}\")\n try:\n response = await call_next(request)\n if not is_polling:\n logger.info(\n f\"Response status: {response.status_code} for {request.url.path}\"\n )\n return response\n except NetworkError as e:\n logger.error(f\"Network error caught in middleware: {e}\")\n raise HTTPException(\n status_code=503,\n detail=\"Environment unavailable. Please check if the Superset instance is running.\",\n )\n# #endregion log_requests\n# Seed trace_id on every request — MUST be the outermost middleware so trace_id\n# is seeded before log_requests (or any other middleware) runs.\nfrom .core.middleware.trace import TraceContextMiddleware\n\napp.add_middleware(TraceContextMiddleware)\n# #region API_Routes [C:3] [TYPE Block]\n# @BRIEF Register all FastAPI route groups exposed by the application entrypoint.\n# @RELATION DEPENDS_ON -> [FastAPI_App]\n# @RELATION DEPENDS_ON -> [Route_Group_Contracts]\n# @RELATION DEPENDS_ON -> [AuthApi]\n# @RELATION DEPENDS_ON -> [AdminApi]\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ConnectionsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @RELATION DEPENDS_ON -> [CleanReleaseV2Api]\n# Include API routes\napp.include_router(auth.router)\napp.include_router(admin.router)\napp.include_router(plugins.router, prefix=\"/api/plugins\", tags=[\"Plugins\"])\napp.include_router(tasks.router, prefix=\"/api/tasks\", tags=[\"Tasks\"])\napp.include_router(settings.router, prefix=\"/api/settings\", tags=[\"Settings\"])\napp.include_router(\n connections.router, prefix=\"/api/settings/connections\", tags=[\"Connections\"]\n)\napp.include_router(environments.router, tags=[\"Environments\"])\napp.include_router(mappings.router, prefix=\"/api/mappings\", tags=[\"Mappings\"])\napp.include_router(migration.router)\napp.include_router(git.router, prefix=\"/api/git\", tags=[\"Git\"])\napp.include_router(llm.router, prefix=\"/api/llm\", tags=[\"LLM\"])\napp.include_router(storage.router, prefix=\"/api/storage\", tags=[\"Storage\"])\napp.include_router(dashboards.router)\napp.include_router(datasets.router)\napp.include_router(reports.router)\napp.include_router(assistant.router, prefix=\"/api/assistant\", tags=[\"Assistant\"])\napp.include_router(clean_release.router)\napp.include_router(clean_release_v2.router)\napp.include_router(profile.router)\napp.include_router(dataset_review.router)\napp.include_router(health.router)\napp.include_router(translate.router)\n# #endregion API_Routes\n# #region api.include_routers [C:1] [TYPE Action] [SEMANTICS routes, registration, api]\n# @BRIEF Registers all API routers with the FastAPI application.\n# @LAYER API\n# #endregion api.include_routers\n# #region websocket_endpoint [C:5] [TYPE Function]\n# @BRIEF Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.\n# @RELATION CALLS -> [TaskManagerPackage]\n# @RELATION DEPENDS_ON -> [LoggerModule]\n# @PRE task_id must be a valid task ID.\n# @POST WebSocket connection is managed and logs are streamed until disconnect.\n# @SIDE_EFFECT Subscribes to TaskManager log queue and broadcasts messages over network.\n# @DATA_CONTRACT [task_id: str, source: str, level: str] -> [JSON log entry objects]\n# @INVARIANT Every accepted WebSocket subscription is unsubscribed exactly once even when streaming fails or the client disconnects.\n# @UX_STATE Connecting -> Streaming -> (Disconnected)\n#\n# @TEST_CONTRACT WebSocketLogStreamApi ->\n# {\n# required_fields: {websocket: WebSocket, task_id: str},\n# optional_fields: {source: str, level: str},\n# invariants: [\n# \"Accepts the WebSocket connection\",\n# \"Applies source and level filters correctly to streamed logs\",\n# \"Cleans up subscriptions on disconnect\"\n# ]\n# }\n# @TEST_FIXTURE valid_ws_connection -> {\"task_id\": \"test_1\", \"source\": \"plugin\"}\n# @TEST_EDGE task_not_found_ws -> closes connection or sends error\n# @TEST_EDGE empty_task_logs -> waits for new logs\n# @TEST_INVARIANT consistent_streaming -> verifies: [valid_ws_connection]\n@app.websocket(\"/ws/logs/{task_id}\")\nasync def websocket_endpoint(\n websocket: WebSocket, task_id: str, source: str = None, level: str = None\n):\n \"\"\"\n WebSocket endpoint for real-time log streaming with optional server-side filtering.\n Query Parameters:\n source: Filter logs by source component (e.g., \"plugin\", \"superset_api\")\n level: Filter logs by minimum level (DEBUG, INFO, WARNING, ERROR)\n \"\"\"\n seed_trace_id()\n with belief_scope(\"websocket_endpoint\", f\"task_id={task_id}\"):\n await websocket.accept()\n source_filter = source.lower() if source else None\n level_filter = level.upper() if level else None\n level_hierarchy = {\"DEBUG\": 0, \"INFO\": 1, \"WARNING\": 2, \"ERROR\": 3}\n min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0\n logger.reason(\n \"Accepted WebSocket log stream connection\",\n extra={\n \"task_id\": task_id,\n \"source_filter\": source_filter,\n \"level_filter\": level_filter,\n \"min_level\": min_level,\n },\n )\n task_manager = get_task_manager()\n queue = await task_manager.subscribe_logs(task_id)\n logger.reason(\n \"Subscribed WebSocket client to task log queue\",\n extra={\"task_id\": task_id},\n )\n def matches_filters(log_entry) -> bool:\n \"\"\"Check if log entry matches the filter criteria.\"\"\"\n log_source = getattr(log_entry, \"source\", None)\n if source_filter and str(log_source or \"\").lower() != source_filter:\n return False\n if level_filter:\n log_level = level_hierarchy.get(str(log_entry.level).upper(), 0)\n if log_level < min_level:\n return False\n return True\n try:\n logger.reason(\n \"Starting task log stream replay and live forwarding\",\n extra={\"task_id\": task_id},\n )\n initial_logs = task_manager.get_task_logs(task_id)\n initial_sent = 0\n for log_entry in initial_logs:\n if matches_filters(log_entry):\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n initial_sent += 1\n logger.reflect(\n \"Initial task log replay completed\",\n extra={\n \"task_id\": task_id,\n \"replayed_logs\": initial_sent,\n \"total_available_logs\": len(initial_logs),\n },\n )\n task = task_manager.get_task(task_id)\n if task and task.status == \"AWAITING_INPUT\" and task.input_request:\n synthetic_log = {\n \"timestamp\": task.logs[-1].timestamp.isoformat()\n if task.logs\n else \"2024-01-01T00:00:00\",\n \"level\": \"INFO\",\n \"message\": \"Task paused for user input (Connection Re-established)\",\n \"context\": {\"input_request\": task.input_request},\n }\n await websocket.send_json(synthetic_log)\n logger.reason(\n \"Replayed awaiting-input prompt to restored WebSocket client\",\n extra={\"task_id\": task_id, \"task_status\": task.status},\n )\n while True:\n log_entry = await queue.get()\n if not matches_filters(log_entry):\n continue\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n logger.reflect(\n \"Forwarded task log entry to WebSocket client\",\n extra={\n \"task_id\": task_id,\n \"level\": log_dict.get(\"level\"),\n },\n )\n if (\n \"Task completed successfully\" in log_entry.message\n or \"Task failed\" in log_entry.message\n ):\n logger.reason(\n \"Observed terminal task log entry; delaying to preserve client visibility\",\n extra={\"task_id\": task_id, \"message\": log_entry.message},\n )\n await asyncio.sleep(2)\n except WebSocketDisconnect:\n logger.reason(\n \"WebSocket client disconnected from task log stream\",\n extra={\"task_id\": task_id},\n )\n except Exception as exc:\n logger.explore(\n \"WebSocket log streaming encountered an unexpected failure\",\n extra={\"task_id\": task_id, \"error\": str(exc)},\n )\n raise\n finally:\n task_manager.unsubscribe_logs(task_id, queue)\n logger.reflect(\n \"Released WebSocket log queue subscription\",\n extra={\"task_id\": task_id},\n )\n# #endregion websocket_endpoint\n# #region StaticFiles [C:1] [TYPE Mount] [SEMANTICS static, frontend, spa]\n# @BRIEF Mounts the frontend build directory to serve static assets.\nfrontend_path = project_root / \"frontend\" / \"build\"\nif frontend_path.exists():\n app.mount(\n \"/_app\", StaticFiles(directory=str(frontend_path / \"_app\")), name=\"static\"\n )\n # #region serve_spa [TYPE Function] [C:1]\n # @PURPOSE Serves the SPA frontend for any path not matched by API routes.\n # @PRE frontend_path exists.\n # @POST Returns the requested file or index.html.\n @app.get(\"/{file_path:path}\", include_in_schema=False)\n async def serve_spa(file_path: str):\n with belief_scope(\"serve_spa\"):\n # Only serve SPA for non-API paths\n # API routes are registered separately and should be matched by FastAPI first\n if file_path and (\n file_path.startswith(\"api/\")\n or file_path.startswith(\"/api/\")\n or file_path == \"api\"\n ):\n # This should not happen if API routers are properly registered\n # Return 404 instead of serving HTML\n raise HTTPException(\n status_code=404, detail=f\"API endpoint not found: {file_path}\"\n )\n full_path = frontend_path / file_path\n if file_path and full_path.is_file():\n return FileResponse(str(full_path))\n return FileResponse(str(frontend_path / \"index.html\"))\n # #endregion serve_spa\nelse:\n # #region read_root [TYPE Function] [C:1]\n # @PURPOSE A simple root endpoint to confirm that the API is running when frontend is missing.\n # @PRE None.\n # @POST Returns a JSON message indicating API status.\n @app.get(\"/\")\n async def read_root():\n with belief_scope(\"read_root\"):\n return {\n \"message\": \"Superset Tools API is running (Frontend build not found)\"\n }\n # #endregion read_root\n# #endregion StaticFiles\n# #endregion AppModule\n" + "body": "# #region AppModule [C:5] [TYPE Module] [SEMANTICS fastapi, websocket, startup, scheduler, middleware]\n# @BRIEF The main entry point for the FastAPI application.\n# @LAYER API\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @INVARIANT All WebSocket connections must be properly cleaned up on disconnect.\n# @PRE Python environment and dependencies installed; configuration database available.\n# @POST FastAPI app instance is created, middleware configured, and routes registered.\n# @SIDE_EFFECT Starts background scheduler and binds network ports for HTTP/WS traffic.\n# @DATA_CONTRACT [HTTP Request | WS Message] -> [HTTP Response | JSON Log Stream]\n# @RATIONALE Duplicate @RELATION and @INVARIANT lines removed from header. Import sorting unified via ruff isort (I) rule across src/ — 139 fixes applied.\n\nimport os\nfrom pathlib import Path\n\n# project_root is used for static files mounting\nproject_root = Path(__file__).resolve().parent.parent.parent\nimport asyncio\n\nfrom fastapi import FastAPI, HTTPException, Request, WebSocket, WebSocketDisconnect\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\nfrom starlette.middleware.sessions import SessionMiddleware\n\nfrom .api import auth\nfrom .api.routes import (\n admin,\n assistant,\n clean_release,\n clean_release_v2,\n dashboards,\n dataset_review,\n datasets,\n environments,\n git,\n health,\n llm,\n mappings,\n migration,\n plugins,\n profile,\n reports,\n settings,\n storage,\n tasks,\n translate,\n validation,\n)\nfrom .core.auth.security import get_password_hash\nfrom .core.cot_logger import seed_trace_id\nfrom .core.database import AuthSessionLocal, init_db\nfrom .core.encryption_key import ensure_encryption_key\nfrom .core.logger import belief_scope, logger\nfrom .core.utils.network import NetworkError\nfrom .dependencies import get_scheduler_service, get_task_manager\nfrom .models.auth import Role, User\n\n# #region FastAPI_App [C:3] [TYPE Global] [SEMANTICS app, fastapi, instance, route-registry]\n# @BRIEF Canonical FastAPI application instance for route, middleware, and websocket registration.\n# @RELATION DEPENDS_ON -> [ApiRoutesModule]\n# @RELATION BINDS_TO -> [API_Routes]\napp = FastAPI(\n title=\"Superset Tools API\",\n description=\"API for managing Superset automation tools and plugins.\",\n version=\"1.0.0\",\n)\n# #endregion FastAPI_App\n# #region ensure_initial_admin_user [C:3] [TYPE Function]\n# @BRIEF Ensures initial admin user exists when bootstrap env flags are enabled.\n# @RELATION DEPENDS_ON -> AuthRepository\ndef ensure_initial_admin_user() -> None:\n raw_flag = os.getenv(\"INITIAL_ADMIN_CREATE\", \"false\").strip().lower()\n if raw_flag not in {\"1\", \"true\", \"yes\", \"on\"}:\n return\n username = os.getenv(\"INITIAL_ADMIN_USERNAME\", \"\").strip()\n password = os.getenv(\"INITIAL_ADMIN_PASSWORD\", \"\").strip()\n if not username or not password:\n logger.warning(\n \"INITIAL_ADMIN_CREATE is enabled but INITIAL_ADMIN_USERNAME/INITIAL_ADMIN_PASSWORD is missing; skipping bootstrap.\"\n )\n return\n db = AuthSessionLocal()\n try:\n admin_role = db.query(Role).filter(Role.name == \"Admin\").first()\n if not admin_role:\n admin_role = Role(name=\"Admin\", description=\"System Administrator\")\n db.add(admin_role)\n db.commit()\n db.refresh(admin_role)\n existing_user = db.query(User).filter(User.username == username).first()\n if existing_user:\n logger.info(\n \"Initial admin bootstrap skipped: user '%s' already exists.\", username\n )\n return\n new_user = User(\n username=username,\n email=None,\n password_hash=get_password_hash(password),\n auth_source=\"LOCAL\",\n is_active=True,\n )\n new_user.roles.append(admin_role)\n db.add(new_user)\n db.commit()\n logger.info(\n \"Initial admin user '%s' created from environment bootstrap.\", username\n )\n except Exception as exc:\n db.rollback()\n logger.error(\"Failed to bootstrap initial admin user: %s\", exc)\n raise\n finally:\n db.close()\n# #endregion ensure_initial_admin_user\n# #region startup_event [C:3] [TYPE Function]\n# @BRIEF Handles application startup tasks, such as starting the scheduler.\n# @RELATION CALLS -> [AppDependencies]\n# @PRE None.\n# @POST Scheduler is started.\n# Startup event\n@app.on_event(\"startup\")\nasync def startup_event():\n seed_trace_id()\n with belief_scope(\"startup_event\"):\n ensure_encryption_key()\n init_db()\n ensure_initial_admin_user()\n scheduler = get_scheduler_service()\n scheduler.start()\n# #endregion startup_event\n# #region shutdown_event [C:3] [TYPE Function]\n# @BRIEF Handles application shutdown tasks, such as stopping the scheduler.\n# @RELATION CALLS -> [AppDependencies]\n# @PRE None.\n# @POST Scheduler is stopped.\n# Shutdown event\n@app.on_event(\"shutdown\")\nasync def shutdown_event():\n seed_trace_id()\n with belief_scope(\"shutdown_event\"):\n scheduler = get_scheduler_service()\n scheduler.stop()\n# #endregion shutdown_event\n# #region app_middleware [TYPE Block]\n# @BRIEF Configure application-wide middleware (Session, CORS).\n# @RATIONALE CORS allow_origins reads from ALLOWED_ORIGINS env var instead of hardcoded \"*\".\n# Default \"*\" is safe for dev; production must set ALLOWED_ORIGINS to explicit list.\n# @REJECTED Hardcoded allow_origins=[\"*\"] rejected — open CORS allows any origin to access the API,\n# which is a Class 1 security violation in production.\n\n# Configure Session Middleware (required by Authlib for OAuth2 flow)\nfrom .core.auth.config import auth_config\n\napp.add_middleware(SessionMiddleware, secret_key=auth_config.SECRET_KEY)\n# Configure CORS\napp.add_middleware(\n CORSMiddleware,\n allow_origins=os.getenv(\"ALLOWED_ORIGINS\", \"*\").split(\",\"),\n allow_credentials=True,\n allow_methods=[\"*\"],\n allow_headers=[\"*\"],\n)\n# #endregion app_middleware\n# #region network_error_handler [C:1] [TYPE Function]\n# @BRIEF Global exception handler for NetworkError.\n# @PRE request is a FastAPI Request object.\n# @POST Returns 503 HTTP Exception.\n@app.exception_handler(NetworkError)\nasync def network_error_handler(request: Request, exc: NetworkError):\n with belief_scope(\"network_error_handler\"):\n logger.error(f\"Network error: {exc}\")\n return HTTPException(\n status_code=503,\n detail=\"Environment unavailable. Please check if the Superset instance is running.\",\n )\n# #endregion network_error_handler\n# #region log_requests [C:3] [TYPE Function]\n# @BRIEF Middleware to log incoming HTTP requests and their response status.\n# @RELATION DEPENDS_ON -> [LoggerModule]\n# @PRE request is a FastAPI Request object.\n# @POST Logs request and response details.\n@app.middleware(\"http\")\nasync def log_requests(request: Request, call_next):\n with belief_scope(\"log_requests\"):\n # Avoid spamming logs for polling endpoints\n is_polling = request.url.path.endswith(\"/api/tasks\") and request.method == \"GET\"\n if not is_polling:\n logger.info(f\"Incoming request: {request.method} {request.url.path}\")\n try:\n response = await call_next(request)\n if not is_polling:\n logger.info(\n f\"Response status: {response.status_code} for {request.url.path}\"\n )\n return response\n except NetworkError as e:\n logger.error(f\"Network error caught in middleware: {e}\")\n raise HTTPException(\n status_code=503,\n detail=\"Environment unavailable. Please check if the Superset instance is running.\",\n )\n# #endregion log_requests\n# Seed trace_id on every request — MUST be the outermost middleware so trace_id\n# is seeded before log_requests (or any other middleware) runs.\nfrom .core.middleware.trace import TraceContextMiddleware\n\napp.add_middleware(TraceContextMiddleware)\n# #region API_Routes [C:3] [TYPE Block]\n# @BRIEF Register all FastAPI route groups exposed by the application entrypoint.\n# @RELATION DEPENDS_ON -> [FastAPI_App]\n# @RELATION DEPENDS_ON -> [Route_Group_Contracts]\n# @RELATION DEPENDS_ON -> [AuthApi]\n# @RELATION DEPENDS_ON -> [AdminApi]\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @RELATION DEPENDS_ON -> [CleanReleaseV2Api]\n# @RELATION DEPENDS_ON -> [ValidationRoutes]\n# Include API routes\napp.include_router(auth.router)\napp.include_router(admin.router)\napp.include_router(plugins.router, prefix=\"/api/plugins\", tags=[\"Plugins\"])\napp.include_router(tasks.router, prefix=\"/api/tasks\", tags=[\"Tasks\"])\napp.include_router(settings.router, prefix=\"/api/settings\", tags=[\"Settings\"])\napp.include_router(environments.router, tags=[\"Environments\"])\napp.include_router(mappings.router, prefix=\"/api/mappings\", tags=[\"Mappings\"])\napp.include_router(migration.router)\napp.include_router(git.router, prefix=\"/api/git\", tags=[\"Git\"])\napp.include_router(llm.router, prefix=\"/api/llm\", tags=[\"LLM\"])\napp.include_router(storage.router, prefix=\"/api/storage\", tags=[\"Storage\"])\napp.include_router(dashboards.router)\napp.include_router(datasets.router)\napp.include_router(reports.router)\napp.include_router(assistant.router, prefix=\"/api/assistant\", tags=[\"Assistant\"])\napp.include_router(clean_release.router)\napp.include_router(clean_release_v2.router)\napp.include_router(profile.router)\napp.include_router(dataset_review.router)\napp.include_router(health.router)\napp.include_router(translate.router)\napp.include_router(validation.router, prefix=\"/api/validation\", tags=[\"Validation\"])\n# #endregion API_Routes\n# #region api.include_routers [C:1] [TYPE Action] [SEMANTICS routes, registration, api]\n# @BRIEF Registers all API routers with the FastAPI application.\n# @LAYER API\n# #endregion api.include_routers\n# #region websocket_endpoint [C:5] [TYPE Function]\n# @BRIEF Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.\n# @RELATION CALLS -> [TaskManagerPackage]\n# @RELATION DEPENDS_ON -> [LoggerModule]\n# @PRE task_id must be a valid task ID.\n# @POST WebSocket connection is managed and logs are streamed until disconnect.\n# @SIDE_EFFECT Subscribes to TaskManager log queue and broadcasts messages over network.\n# @DATA_CONTRACT [task_id: str, source: str, level: str] -> [JSON log entry objects]\n# @INVARIANT Every accepted WebSocket subscription is unsubscribed exactly once even when streaming fails or the client disconnects.\n# @UX_STATE Connecting -> Streaming -> (Disconnected)\n#\n# @TEST_CONTRACT WebSocketLogStreamApi ->\n# {\n# required_fields: {websocket: WebSocket, task_id: str},\n# optional_fields: {source: str, level: str},\n# invariants: [\n# \"Accepts the WebSocket connection\",\n# \"Applies source and level filters correctly to streamed logs\",\n# \"Cleans up subscriptions on disconnect\"\n# ]\n# }\n# @TEST_FIXTURE valid_ws_connection -> {\"task_id\": \"test_1\", \"source\": \"plugin\"}\n# @TEST_EDGE task_not_found_ws -> closes connection or sends error\n# @TEST_EDGE empty_task_logs -> waits for new logs\n# @TEST_INVARIANT consistent_streaming -> verifies: [valid_ws_connection]\n@app.websocket(\"/ws/logs/{task_id}\")\nasync def websocket_endpoint(\n websocket: WebSocket, task_id: str, source: str = None, level: str = None\n):\n \"\"\"\n WebSocket endpoint for real-time log streaming with optional server-side filtering.\n Query Parameters:\n source: Filter logs by source component (e.g., \"plugin\", \"superset_api\")\n level: Filter logs by minimum level (DEBUG, INFO, WARNING, ERROR)\n \"\"\"\n seed_trace_id()\n with belief_scope(\"websocket_endpoint\", f\"task_id={task_id}\"):\n await websocket.accept()\n source_filter = source.lower() if source else None\n level_filter = level.upper() if level else None\n level_hierarchy = {\"DEBUG\": 0, \"INFO\": 1, \"WARNING\": 2, \"ERROR\": 3}\n min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0\n logger.reason(\n \"Accepted WebSocket log stream connection\",\n extra={\n \"task_id\": task_id,\n \"source_filter\": source_filter,\n \"level_filter\": level_filter,\n \"min_level\": min_level,\n },\n )\n task_manager = get_task_manager()\n queue = await task_manager.subscribe_logs(task_id)\n logger.reason(\n \"Subscribed WebSocket client to task log queue\",\n extra={\"task_id\": task_id},\n )\n def matches_filters(log_entry) -> bool:\n \"\"\"Check if log entry matches the filter criteria.\"\"\"\n log_source = getattr(log_entry, \"source\", None)\n if source_filter and str(log_source or \"\").lower() != source_filter:\n return False\n if level_filter:\n log_level = level_hierarchy.get(str(log_entry.level).upper(), 0)\n if log_level < min_level:\n return False\n return True\n try:\n logger.reason(\n \"Starting task log stream replay and live forwarding\",\n extra={\"task_id\": task_id},\n )\n initial_logs = task_manager.get_task_logs(task_id)\n initial_sent = 0\n for log_entry in initial_logs:\n if matches_filters(log_entry):\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n initial_sent += 1\n logger.reflect(\n \"Initial task log replay completed\",\n extra={\n \"task_id\": task_id,\n \"replayed_logs\": initial_sent,\n \"total_available_logs\": len(initial_logs),\n },\n )\n task = task_manager.get_task(task_id)\n if task and task.status == \"AWAITING_INPUT\" and task.input_request:\n synthetic_log = {\n \"timestamp\": task.logs[-1].timestamp.isoformat()\n if task.logs\n else \"2024-01-01T00:00:00\",\n \"level\": \"INFO\",\n \"message\": \"Task paused for user input (Connection Re-established)\",\n \"context\": {\"input_request\": task.input_request},\n }\n await websocket.send_json(synthetic_log)\n logger.reason(\n \"Replayed awaiting-input prompt to restored WebSocket client\",\n extra={\"task_id\": task_id, \"task_status\": task.status},\n )\n while True:\n log_entry = await queue.get()\n if not matches_filters(log_entry):\n continue\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n logger.reflect(\n \"Forwarded task log entry to WebSocket client\",\n extra={\n \"task_id\": task_id,\n \"level\": log_dict.get(\"level\"),\n },\n )\n if (\n \"Task completed successfully\" in log_entry.message\n or \"Task failed\" in log_entry.message\n ):\n logger.reason(\n \"Observed terminal task log entry; delaying to preserve client visibility\",\n extra={\"task_id\": task_id, \"message\": log_entry.message},\n )\n await asyncio.sleep(2)\n except WebSocketDisconnect:\n logger.reason(\n \"WebSocket client disconnected from task log stream\",\n extra={\"task_id\": task_id},\n )\n except Exception as exc:\n logger.explore(\n \"WebSocket log streaming encountered an unexpected failure\",\n extra={\"task_id\": task_id, \"error\": str(exc)},\n )\n raise\n finally:\n task_manager.unsubscribe_logs(task_id, queue)\n logger.reflect(\n \"Released WebSocket log queue subscription\",\n extra={\"task_id\": task_id},\n )\n# #endregion websocket_endpoint\n# #region dataset_websocket_endpoint [C:4] [TYPE Function]\n# @BRIEF WebSocket endpoint for dataset.updated events — auto-refresh on task completion.\n# @RELATION CALLS -> [TaskManagerPackage]\n# @PRE env_id must reference a known environment.\n# @POST WebSocket streams dataset.updated events until disconnect.\n# @SIDE_EFFECT Subscribes to dataset event queue in task manager lifecycle.\n@app.websocket(\"/ws/datasets/{env_id}\")\nasync def dataset_websocket_endpoint(websocket: WebSocket, env_id: str):\n seed_trace_id()\n with belief_scope(\"dataset_websocket_endpoint\", f\"env_id={env_id}\"):\n await websocket.accept()\n logger.reason(\"Accepted dataset event WebSocket\", extra={\"env_id\": env_id})\n task_manager = get_task_manager()\n queue = await task_manager.subscribe_dataset_events(env_id)\n try:\n while True:\n event = await queue.get()\n await websocket.send_json(event)\n logger.reflect(\"Forwarded dataset.updated event to client\", extra={\"env_id\": env_id})\n except WebSocketDisconnect:\n logger.reason(\"WebSocket client disconnected from dataset events\", extra={\"env_id\": env_id})\n except Exception as exc:\n logger.explore(\"WebSocket dataset streaming failed\", extra={\"env_id\": env_id, \"error\": str(exc)})\n finally:\n task_manager.unsubscribe_dataset_events(env_id, queue)\n logger.reflect(\"Released dataset event subscription\", extra={\"env_id\": env_id})\n# #endregion dataset_websocket_endpoint\n# #region StaticFiles [C:1] [TYPE Mount] [SEMANTICS static, frontend, spa]\n# @BRIEF Mounts the frontend build directory to serve static assets.\nfrontend_path = project_root / \"frontend\" / \"build\"\nif frontend_path.exists():\n app.mount(\n \"/_app\", StaticFiles(directory=str(frontend_path / \"_app\")), name=\"static\"\n )\n # #region serve_spa [TYPE Function] [C:1]\n # @PURPOSE Serves the SPA frontend for any path not matched by API routes.\n # @PRE frontend_path exists.\n # @POST Returns the requested file or index.html.\n @app.get(\"/{file_path:path}\", include_in_schema=False)\n async def serve_spa(file_path: str):\n with belief_scope(\"serve_spa\"):\n # Only serve SPA for non-API paths\n # API routes are registered separately and should be matched by FastAPI first\n if file_path and (\n file_path.startswith(\"api/\")\n or file_path.startswith(\"/api/\")\n or file_path == \"api\"\n ):\n # This should not happen if API routers are properly registered\n # Return 404 instead of serving HTML\n raise HTTPException(\n status_code=404, detail=f\"API endpoint not found: {file_path}\"\n )\n full_path = frontend_path / file_path\n if file_path and full_path.is_file():\n return FileResponse(str(full_path))\n return FileResponse(str(frontend_path / \"index.html\"))\n # #endregion serve_spa\nelse:\n # #region read_root [TYPE Function] [C:1]\n # @PURPOSE A simple root endpoint to confirm that the API is running when frontend is missing.\n # @PRE None.\n # @POST Returns a JSON message indicating API status.\n @app.get(\"/\")\n async def read_root():\n with belief_scope(\"read_root\"):\n return {\n \"message\": \"Superset Tools API is running (Frontend build not found)\"\n }\n # #endregion read_root\n# #endregion StaticFiles\n# #endregion AppModule\n" }, { "contract_id": "FastAPI_App", @@ -16526,7 +17846,7 @@ "contract_type": "Block", "file_path": "backend/src/app.py", "start_line": 209, - "end_line": 247, + "end_line": 245, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -16576,12 +17896,6 @@ "target_id": "SettingsRouter", "target_ref": "[SettingsRouter]" }, - { - "source_id": "API_Routes", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionsRouter", - "target_ref": "[ConnectionsRouter]" - }, { "source_id": "API_Routes", "relation_type": "DEPENDS_ON", @@ -16599,19 +17913,25 @@ "relation_type": "DEPENDS_ON", "target_id": "CleanReleaseV2Api", "target_ref": "[CleanReleaseV2Api]" + }, + { + "source_id": "API_Routes", + "relation_type": "DEPENDS_ON", + "target_id": "ValidationRoutes", + "target_ref": "[ValidationRoutes]" } ], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region API_Routes [C:3] [TYPE Block]\n# @BRIEF Register all FastAPI route groups exposed by the application entrypoint.\n# @RELATION DEPENDS_ON -> [FastAPI_App]\n# @RELATION DEPENDS_ON -> [Route_Group_Contracts]\n# @RELATION DEPENDS_ON -> [AuthApi]\n# @RELATION DEPENDS_ON -> [AdminApi]\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ConnectionsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @RELATION DEPENDS_ON -> [CleanReleaseV2Api]\n# Include API routes\napp.include_router(auth.router)\napp.include_router(admin.router)\napp.include_router(plugins.router, prefix=\"/api/plugins\", tags=[\"Plugins\"])\napp.include_router(tasks.router, prefix=\"/api/tasks\", tags=[\"Tasks\"])\napp.include_router(settings.router, prefix=\"/api/settings\", tags=[\"Settings\"])\napp.include_router(\n connections.router, prefix=\"/api/settings/connections\", tags=[\"Connections\"]\n)\napp.include_router(environments.router, tags=[\"Environments\"])\napp.include_router(mappings.router, prefix=\"/api/mappings\", tags=[\"Mappings\"])\napp.include_router(migration.router)\napp.include_router(git.router, prefix=\"/api/git\", tags=[\"Git\"])\napp.include_router(llm.router, prefix=\"/api/llm\", tags=[\"LLM\"])\napp.include_router(storage.router, prefix=\"/api/storage\", tags=[\"Storage\"])\napp.include_router(dashboards.router)\napp.include_router(datasets.router)\napp.include_router(reports.router)\napp.include_router(assistant.router, prefix=\"/api/assistant\", tags=[\"Assistant\"])\napp.include_router(clean_release.router)\napp.include_router(clean_release_v2.router)\napp.include_router(profile.router)\napp.include_router(dataset_review.router)\napp.include_router(health.router)\napp.include_router(translate.router)\n# #endregion API_Routes\n" + "body": "# #region API_Routes [C:3] [TYPE Block]\n# @BRIEF Register all FastAPI route groups exposed by the application entrypoint.\n# @RELATION DEPENDS_ON -> [FastAPI_App]\n# @RELATION DEPENDS_ON -> [Route_Group_Contracts]\n# @RELATION DEPENDS_ON -> [AuthApi]\n# @RELATION DEPENDS_ON -> [AdminApi]\n# @RELATION DEPENDS_ON -> [PluginsRouter]\n# @RELATION DEPENDS_ON -> [TasksRouter]\n# @RELATION DEPENDS_ON -> [SettingsRouter]\n# @RELATION DEPENDS_ON -> [ReportsRouter]\n# @RELATION DEPENDS_ON -> [LlmRoutes]\n# @RELATION DEPENDS_ON -> [CleanReleaseV2Api]\n# @RELATION DEPENDS_ON -> [ValidationRoutes]\n# Include API routes\napp.include_router(auth.router)\napp.include_router(admin.router)\napp.include_router(plugins.router, prefix=\"/api/plugins\", tags=[\"Plugins\"])\napp.include_router(tasks.router, prefix=\"/api/tasks\", tags=[\"Tasks\"])\napp.include_router(settings.router, prefix=\"/api/settings\", tags=[\"Settings\"])\napp.include_router(environments.router, tags=[\"Environments\"])\napp.include_router(mappings.router, prefix=\"/api/mappings\", tags=[\"Mappings\"])\napp.include_router(migration.router)\napp.include_router(git.router, prefix=\"/api/git\", tags=[\"Git\"])\napp.include_router(llm.router, prefix=\"/api/llm\", tags=[\"LLM\"])\napp.include_router(storage.router, prefix=\"/api/storage\", tags=[\"Storage\"])\napp.include_router(dashboards.router)\napp.include_router(datasets.router)\napp.include_router(reports.router)\napp.include_router(assistant.router, prefix=\"/api/assistant\", tags=[\"Assistant\"])\napp.include_router(clean_release.router)\napp.include_router(clean_release_v2.router)\napp.include_router(profile.router)\napp.include_router(dataset_review.router)\napp.include_router(health.router)\napp.include_router(translate.router)\napp.include_router(validation.router, prefix=\"/api/validation\", tags=[\"Validation\"])\n# #endregion API_Routes\n" }, { "contract_id": "api.include_routers", "contract_type": "Action", "file_path": "backend/src/app.py", - "start_line": 248, - "end_line": 251, + "start_line": 246, + "end_line": 249, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -16705,8 +18025,8 @@ "contract_id": "websocket_endpoint", "contract_type": "Function", "file_path": "backend/src/app.py", - "start_line": 252, - "end_line": 395, + "start_line": 250, + "end_line": 393, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -16760,12 +18080,40 @@ "tier_source": "AutoCalculated", "body": "# #region websocket_endpoint [C:5] [TYPE Function]\n# @BRIEF Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.\n# @RELATION CALLS -> [TaskManagerPackage]\n# @RELATION DEPENDS_ON -> [LoggerModule]\n# @PRE task_id must be a valid task ID.\n# @POST WebSocket connection is managed and logs are streamed until disconnect.\n# @SIDE_EFFECT Subscribes to TaskManager log queue and broadcasts messages over network.\n# @DATA_CONTRACT [task_id: str, source: str, level: str] -> [JSON log entry objects]\n# @INVARIANT Every accepted WebSocket subscription is unsubscribed exactly once even when streaming fails or the client disconnects.\n# @UX_STATE Connecting -> Streaming -> (Disconnected)\n#\n# @TEST_CONTRACT WebSocketLogStreamApi ->\n# {\n# required_fields: {websocket: WebSocket, task_id: str},\n# optional_fields: {source: str, level: str},\n# invariants: [\n# \"Accepts the WebSocket connection\",\n# \"Applies source and level filters correctly to streamed logs\",\n# \"Cleans up subscriptions on disconnect\"\n# ]\n# }\n# @TEST_FIXTURE valid_ws_connection -> {\"task_id\": \"test_1\", \"source\": \"plugin\"}\n# @TEST_EDGE task_not_found_ws -> closes connection or sends error\n# @TEST_EDGE empty_task_logs -> waits for new logs\n# @TEST_INVARIANT consistent_streaming -> verifies: [valid_ws_connection]\n@app.websocket(\"/ws/logs/{task_id}\")\nasync def websocket_endpoint(\n websocket: WebSocket, task_id: str, source: str = None, level: str = None\n):\n \"\"\"\n WebSocket endpoint for real-time log streaming with optional server-side filtering.\n Query Parameters:\n source: Filter logs by source component (e.g., \"plugin\", \"superset_api\")\n level: Filter logs by minimum level (DEBUG, INFO, WARNING, ERROR)\n \"\"\"\n seed_trace_id()\n with belief_scope(\"websocket_endpoint\", f\"task_id={task_id}\"):\n await websocket.accept()\n source_filter = source.lower() if source else None\n level_filter = level.upper() if level else None\n level_hierarchy = {\"DEBUG\": 0, \"INFO\": 1, \"WARNING\": 2, \"ERROR\": 3}\n min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0\n logger.reason(\n \"Accepted WebSocket log stream connection\",\n extra={\n \"task_id\": task_id,\n \"source_filter\": source_filter,\n \"level_filter\": level_filter,\n \"min_level\": min_level,\n },\n )\n task_manager = get_task_manager()\n queue = await task_manager.subscribe_logs(task_id)\n logger.reason(\n \"Subscribed WebSocket client to task log queue\",\n extra={\"task_id\": task_id},\n )\n def matches_filters(log_entry) -> bool:\n \"\"\"Check if log entry matches the filter criteria.\"\"\"\n log_source = getattr(log_entry, \"source\", None)\n if source_filter and str(log_source or \"\").lower() != source_filter:\n return False\n if level_filter:\n log_level = level_hierarchy.get(str(log_entry.level).upper(), 0)\n if log_level < min_level:\n return False\n return True\n try:\n logger.reason(\n \"Starting task log stream replay and live forwarding\",\n extra={\"task_id\": task_id},\n )\n initial_logs = task_manager.get_task_logs(task_id)\n initial_sent = 0\n for log_entry in initial_logs:\n if matches_filters(log_entry):\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n initial_sent += 1\n logger.reflect(\n \"Initial task log replay completed\",\n extra={\n \"task_id\": task_id,\n \"replayed_logs\": initial_sent,\n \"total_available_logs\": len(initial_logs),\n },\n )\n task = task_manager.get_task(task_id)\n if task and task.status == \"AWAITING_INPUT\" and task.input_request:\n synthetic_log = {\n \"timestamp\": task.logs[-1].timestamp.isoformat()\n if task.logs\n else \"2024-01-01T00:00:00\",\n \"level\": \"INFO\",\n \"message\": \"Task paused for user input (Connection Re-established)\",\n \"context\": {\"input_request\": task.input_request},\n }\n await websocket.send_json(synthetic_log)\n logger.reason(\n \"Replayed awaiting-input prompt to restored WebSocket client\",\n extra={\"task_id\": task_id, \"task_status\": task.status},\n )\n while True:\n log_entry = await queue.get()\n if not matches_filters(log_entry):\n continue\n log_dict = log_entry.dict()\n log_dict[\"timestamp\"] = log_dict[\"timestamp\"].isoformat()\n await websocket.send_json(log_dict)\n logger.reflect(\n \"Forwarded task log entry to WebSocket client\",\n extra={\n \"task_id\": task_id,\n \"level\": log_dict.get(\"level\"),\n },\n )\n if (\n \"Task completed successfully\" in log_entry.message\n or \"Task failed\" in log_entry.message\n ):\n logger.reason(\n \"Observed terminal task log entry; delaying to preserve client visibility\",\n extra={\"task_id\": task_id, \"message\": log_entry.message},\n )\n await asyncio.sleep(2)\n except WebSocketDisconnect:\n logger.reason(\n \"WebSocket client disconnected from task log stream\",\n extra={\"task_id\": task_id},\n )\n except Exception as exc:\n logger.explore(\n \"WebSocket log streaming encountered an unexpected failure\",\n extra={\"task_id\": task_id, \"error\": str(exc)},\n )\n raise\n finally:\n task_manager.unsubscribe_logs(task_id, queue)\n logger.reflect(\n \"Released WebSocket log queue subscription\",\n extra={\"task_id\": task_id},\n )\n# #endregion websocket_endpoint\n" }, + { + "contract_id": "dataset_websocket_endpoint", + "contract_type": "Function", + "file_path": "backend/src/app.py", + "start_line": 394, + "end_line": 420, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "POST": "WebSocket streams dataset.updated events until disconnect.", + "PRE": "env_id must reference a known environment.", + "PURPOSE": "WebSocket endpoint for dataset.updated events — auto-refresh on task completion.", + "SIDE_EFFECT": "Subscribes to dataset event queue in task manager lifecycle." + }, + "relations": [ + { + "source_id": "dataset_websocket_endpoint", + "relation_type": "CALLS", + "target_id": "TaskManagerPackage", + "target_ref": "[TaskManagerPackage]" + } + ], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region dataset_websocket_endpoint [C:4] [TYPE Function]\n# @BRIEF WebSocket endpoint for dataset.updated events — auto-refresh on task completion.\n# @RELATION CALLS -> [TaskManagerPackage]\n# @PRE env_id must reference a known environment.\n# @POST WebSocket streams dataset.updated events until disconnect.\n# @SIDE_EFFECT Subscribes to dataset event queue in task manager lifecycle.\n@app.websocket(\"/ws/datasets/{env_id}\")\nasync def dataset_websocket_endpoint(websocket: WebSocket, env_id: str):\n seed_trace_id()\n with belief_scope(\"dataset_websocket_endpoint\", f\"env_id={env_id}\"):\n await websocket.accept()\n logger.reason(\"Accepted dataset event WebSocket\", extra={\"env_id\": env_id})\n task_manager = get_task_manager()\n queue = await task_manager.subscribe_dataset_events(env_id)\n try:\n while True:\n event = await queue.get()\n await websocket.send_json(event)\n logger.reflect(\"Forwarded dataset.updated event to client\", extra={\"env_id\": env_id})\n except WebSocketDisconnect:\n logger.reason(\"WebSocket client disconnected from dataset events\", extra={\"env_id\": env_id})\n except Exception as exc:\n logger.explore(\"WebSocket dataset streaming failed\", extra={\"env_id\": env_id, \"error\": str(exc)})\n finally:\n task_manager.unsubscribe_dataset_events(env_id, queue)\n logger.reflect(\"Released dataset event subscription\", extra={\"env_id\": env_id})\n# #endregion dataset_websocket_endpoint\n" + }, { "contract_id": "StaticFiles", "contract_type": "Mount", "file_path": "backend/src/app.py", - "start_line": 396, - "end_line": 439, + "start_line": 421, + "end_line": 464, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -18399,7 +19747,7 @@ "contract_type": "Module", "file_path": "backend/src/core/auth/config.py", "start_line": 1, - "end_line": 74, + "end_line": 73, "tier": "TIER_1", "complexity": 2, "metadata": { @@ -18420,14 +19768,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region AuthConfigModule [C:2] [TYPE Module] [SEMANTICS pydantic, auth, auth-config, config]\n#\n# @BRIEF Centralized configuration for authentication and authorization.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> pydantic\n#\n# @INVARIANT: All sensitive configuration must be loaded from environment; no hardcoded secrets.\n# @RATIONALE SECRET_KEY and AUTH_DATABASE_URL now crash-early if env vars are missing.\n# Dev fallback for AUTH_DATABASE_URL only when DEV_MODE=true.\n# @REJECTED Default secrets in source code rejected — Class 1 security violation:\n# \"super-secret-key-change-in-production\" and \"postgres:postgres\" exposed\n# secrets in version control.\n\nimport os\n\nfrom pydantic import Field, field_validator\nfrom pydantic_settings import BaseSettings\n\n\n# #region AuthConfig [TYPE Class]\n# @BRIEF Holds authentication-related settings.\n# @PRE: Environment variables may be provided via .env file.\n# @POST: Returns a configuration object with validated settings.\n# @RELATION INHERITS -> pydantic_settings.BaseSettings\nclass AuthConfig(BaseSettings):\n # JWT Settings\n SECRET_KEY: str = Field(default=\"\", env=\"AUTH_SECRET_KEY\")\n ALGORITHM: str = \"HS256\"\n ACCESS_TOKEN_EXPIRE_MINUTES: int = 480\n REFRESH_TOKEN_EXPIRE_DAYS: int = 7\n\n # Database Settings\n AUTH_DATABASE_URL: str = Field(default=\"\", env=\"AUTH_DATABASE_URL\")\n\n # ADFS Settings\n ADFS_CLIENT_ID: str = Field(default=\"\", env=\"ADFS_CLIENT_ID\")\n ADFS_CLIENT_SECRET: str = Field(default=\"\", env=\"ADFS_CLIENT_SECRET\")\n ADFS_METADATA_URL: str = Field(default=\"\", env=\"ADFS_METADATA_URL\")\n\n @field_validator(\"SECRET_KEY\", mode=\"after\")\n @classmethod\n def validate_secret_key(cls, v: str) -> str:\n if v:\n return v\n raise ValueError(\n \"AUTH_SECRET_KEY environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n @field_validator(\"AUTH_DATABASE_URL\", mode=\"after\")\n @classmethod\n def validate_auth_db_url(cls, v: str) -> str:\n if v:\n return v\n is_dev = os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}\n if is_dev:\n return \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\n raise ValueError(\n \"AUTH_DATABASE_URL environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n class Config:\n env_file = \".env\"\n extra = \"ignore\"\n# #endregion AuthConfig\n\n# #region auth_config [TYPE Variable]\n# @BRIEF Singleton instance of AuthConfig.\n# @RELATION DEPENDS_ON -> AuthConfig\nauth_config = AuthConfig()\n# #endregion auth_config\n\n# #endregion AuthConfigModule\n" + "body": "# #region AuthConfigModule [C:2] [TYPE Module] [SEMANTICS pydantic, auth, auth-config, config]\n#\n# @BRIEF Centralized configuration for authentication and authorization.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> pydantic\n#\n# @INVARIANT: All sensitive configuration must be loaded from environment; no hardcoded secrets.\n# @RATIONALE SECRET_KEY and AUTH_DATABASE_URL now crash-early if env vars are missing.\n# Dev fallback for AUTH_DATABASE_URL only when DEV_MODE=true.\n# @REJECTED Default secrets in source code rejected — Class 1 security violation:\n# \"super-secret-key-change-in-production\" and \"postgres:postgres\" exposed\n# secrets in version control.\n\nimport os\n\nfrom pydantic import Field, field_validator\nfrom pydantic_settings import BaseSettings, SettingsConfigDict\n\n\n# #region AuthConfig [TYPE Class]\n# @BRIEF Holds authentication-related settings.\n# @PRE: Environment variables may be provided via .env file.\n# @POST: Returns a configuration object with validated settings.\n# @RELATION INHERITS -> pydantic_settings.BaseSettings\nclass AuthConfig(BaseSettings):\n model_config = SettingsConfigDict(env_file=\".env\", extra=\"ignore\")\n\n # JWT Settings\n SECRET_KEY: str = Field(default=\"\", validation_alias=\"AUTH_SECRET_KEY\")\n ALGORITHM: str = \"HS256\"\n ACCESS_TOKEN_EXPIRE_MINUTES: int = 480\n REFRESH_TOKEN_EXPIRE_DAYS: int = 7\n\n # Database Settings\n AUTH_DATABASE_URL: str = Field(default=\"\", validation_alias=\"AUTH_DATABASE_URL\")\n\n # ADFS Settings\n ADFS_CLIENT_ID: str = Field(default=\"\", validation_alias=\"ADFS_CLIENT_ID\")\n ADFS_CLIENT_SECRET: str = Field(default=\"\", validation_alias=\"ADFS_CLIENT_SECRET\")\n ADFS_METADATA_URL: str = Field(default=\"\", validation_alias=\"ADFS_METADATA_URL\")\n\n @field_validator(\"SECRET_KEY\", mode=\"after\")\n @classmethod\n def validate_secret_key(cls, v: str) -> str:\n if v:\n return v\n raise ValueError(\n \"AUTH_SECRET_KEY environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n @field_validator(\"AUTH_DATABASE_URL\", mode=\"after\")\n @classmethod\n def validate_auth_db_url(cls, v: str) -> str:\n if v:\n return v\n is_dev = os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}\n if is_dev:\n return \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\n raise ValueError(\n \"AUTH_DATABASE_URL environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n# #endregion AuthConfig\n\n# #region auth_config [TYPE Variable]\n# @BRIEF Singleton instance of AuthConfig.\n# @RELATION DEPENDS_ON -> AuthConfig\nauth_config = AuthConfig()\n# #endregion auth_config\n\n# #endregion AuthConfigModule\n" }, { "contract_id": "AuthConfig", "contract_type": "Class", "file_path": "backend/src/core/auth/config.py", "start_line": 20, - "end_line": 66, + "end_line": 65, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -18446,14 +19794,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region AuthConfig [TYPE Class]\n# @BRIEF Holds authentication-related settings.\n# @PRE: Environment variables may be provided via .env file.\n# @POST: Returns a configuration object with validated settings.\n# @RELATION INHERITS -> pydantic_settings.BaseSettings\nclass AuthConfig(BaseSettings):\n # JWT Settings\n SECRET_KEY: str = Field(default=\"\", env=\"AUTH_SECRET_KEY\")\n ALGORITHM: str = \"HS256\"\n ACCESS_TOKEN_EXPIRE_MINUTES: int = 480\n REFRESH_TOKEN_EXPIRE_DAYS: int = 7\n\n # Database Settings\n AUTH_DATABASE_URL: str = Field(default=\"\", env=\"AUTH_DATABASE_URL\")\n\n # ADFS Settings\n ADFS_CLIENT_ID: str = Field(default=\"\", env=\"ADFS_CLIENT_ID\")\n ADFS_CLIENT_SECRET: str = Field(default=\"\", env=\"ADFS_CLIENT_SECRET\")\n ADFS_METADATA_URL: str = Field(default=\"\", env=\"ADFS_METADATA_URL\")\n\n @field_validator(\"SECRET_KEY\", mode=\"after\")\n @classmethod\n def validate_secret_key(cls, v: str) -> str:\n if v:\n return v\n raise ValueError(\n \"AUTH_SECRET_KEY environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n @field_validator(\"AUTH_DATABASE_URL\", mode=\"after\")\n @classmethod\n def validate_auth_db_url(cls, v: str) -> str:\n if v:\n return v\n is_dev = os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}\n if is_dev:\n return \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\n raise ValueError(\n \"AUTH_DATABASE_URL environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n class Config:\n env_file = \".env\"\n extra = \"ignore\"\n# #endregion AuthConfig\n" + "body": "# #region AuthConfig [TYPE Class]\n# @BRIEF Holds authentication-related settings.\n# @PRE: Environment variables may be provided via .env file.\n# @POST: Returns a configuration object with validated settings.\n# @RELATION INHERITS -> pydantic_settings.BaseSettings\nclass AuthConfig(BaseSettings):\n model_config = SettingsConfigDict(env_file=\".env\", extra=\"ignore\")\n\n # JWT Settings\n SECRET_KEY: str = Field(default=\"\", validation_alias=\"AUTH_SECRET_KEY\")\n ALGORITHM: str = \"HS256\"\n ACCESS_TOKEN_EXPIRE_MINUTES: int = 480\n REFRESH_TOKEN_EXPIRE_DAYS: int = 7\n\n # Database Settings\n AUTH_DATABASE_URL: str = Field(default=\"\", validation_alias=\"AUTH_DATABASE_URL\")\n\n # ADFS Settings\n ADFS_CLIENT_ID: str = Field(default=\"\", validation_alias=\"ADFS_CLIENT_ID\")\n ADFS_CLIENT_SECRET: str = Field(default=\"\", validation_alias=\"ADFS_CLIENT_SECRET\")\n ADFS_METADATA_URL: str = Field(default=\"\", validation_alias=\"ADFS_METADATA_URL\")\n\n @field_validator(\"SECRET_KEY\", mode=\"after\")\n @classmethod\n def validate_secret_key(cls, v: str) -> str:\n if v:\n return v\n raise ValueError(\n \"AUTH_SECRET_KEY environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n @field_validator(\"AUTH_DATABASE_URL\", mode=\"after\")\n @classmethod\n def validate_auth_db_url(cls, v: str) -> str:\n if v:\n return v\n is_dev = os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}\n if is_dev:\n return \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\n raise ValueError(\n \"AUTH_DATABASE_URL environment variable is required. \"\n \"Set it in .env or export it before starting the server.\"\n )\n\n# #endregion AuthConfig\n" }, { "contract_id": "auth_config", "contract_type": "Variable", "file_path": "backend/src/core/auth/config.py", - "start_line": 68, - "end_line": 72, + "start_line": 67, + "end_line": 71, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20370,7 +21718,7 @@ "contract_type": "Module", "file_path": "backend/src/core/database.py", "start_line": 1, - "end_line": 765, + "end_line": 740, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -20391,25 +21739,19 @@ "relation_type": "DEPENDS_ON", "target_id": "auth_config", "target_ref": "[auth_config]" - }, - { - "source_id": "DatabaseModule", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "[ConnectionConfig]" } ], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatabaseModule [C:3] [TYPE Module] [SEMANTICS sqlalchemy, connection, session]\n#\n# @BRIEF Configures database connection and session management (PostgreSQL-first).\n# @LAYER: Infrastructure\n# @RELATION DEPENDS_ON -> [MappingModels]\n# @RELATION DEPENDS_ON -> [auth_config]\n# @RELATION DEPENDS_ON -> [ConnectionConfig]\n#\n# @INVARIANT: A single engine instance is used for the entire application.\n\nimport os\nfrom pathlib import Path\n\nfrom sqlalchemy import create_engine, inspect, text\nfrom sqlalchemy.orm import sessionmaker\n\n# Import models to ensure they're registered with Base\nfrom ..models import (\n assistant as _assistant_models, # noqa: F401\n auth as _auth_models, # noqa: F401\n clean_release as _clean_release_models, # noqa: F401\n config as _config_models, # noqa: F401\n connection as _connection_models, # noqa: F401\n dataset_review as _dataset_review_models, # noqa: F401\n llm as _llm_models, # noqa: F401\n profile as _profile_models, # noqa: F401\n task as _task_models, # noqa: F401\n)\nfrom ..models.connection import ConnectionConfig\nfrom ..models.mapping import Base\nfrom .auth.config import auth_config\nfrom .logger import belief_scope, logger\n\n# #region BASE_DIR [C:1] [TYPE Variable]\n# @BRIEF Base directory for the backend.\nBASE_DIR = Path(__file__).resolve().parent.parent.parent\n# #endregion BASE_DIR\n\n# #region DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the main application database. Read from env; dev fallback only.\n# @RATIONALE DATABASE_URL reads from env (DATABASE_URL or POSTGRES_URL).\n# Crashes at import if unset in production; provides localhost fallback in dev.\n# @REJECTED Hardcoded postgres:postgres@localhost in source code rejected — exposes\n# database credentials in version control (Class 1 security violation).\n_DATABASE_URL = os.getenv(\"DATABASE_URL\") or os.getenv(\"POSTGRES_URL\")\nif _DATABASE_URL:\n DATABASE_URL = _DATABASE_URL\nelif os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}:\n DATABASE_URL = \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\nelse:\n raise RuntimeError(\n \"DATABASE_URL (or POSTGRES_URL) environment variable is required. \"\n \"Set it before starting the server.\"\n )\n# #endregion DATABASE_URL\n\n# #region TASKS_DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the tasks execution database.\n# Defaults to DATABASE_URL to keep task logs in the same PostgreSQL instance.\nTASKS_DATABASE_URL = os.getenv(\"TASKS_DATABASE_URL\", DATABASE_URL)\n# #endregion TASKS_DATABASE_URL\n\n# #region AUTH_DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the authentication database.\nAUTH_DATABASE_URL = os.getenv(\"AUTH_DATABASE_URL\", auth_config.AUTH_DATABASE_URL)\n# #endregion AUTH_DATABASE_URL\n\n\n# #region engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for mappings database.\n# @SIDE_EFFECT: Creates database engine and manages connection pool.\ndef _build_engine(db_url: str):\n with belief_scope(\"_build_engine\"):\n if db_url.startswith(\"sqlite\"):\n return create_engine(db_url, connect_args={\"check_same_thread\": False})\n return create_engine(db_url, pool_pre_ping=True)\n\n\nengine = _build_engine(DATABASE_URL)\n# #endregion engine\n\n# #region tasks_engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for tasks database.\ntasks_engine = _build_engine(TASKS_DATABASE_URL)\n# #endregion tasks_engine\n\n# #region auth_engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for authentication database.\nauth_engine = _build_engine(AUTH_DATABASE_URL)\n# #endregion auth_engine\n\n# #region SessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the main mappings database.\n# @PRE: engine is initialized.\nSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)\n# #endregion SessionLocal\n\n# #region TasksSessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the tasks execution database.\n# @PRE: tasks_engine is initialized.\nTasksSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=tasks_engine)\n# #endregion TasksSessionLocal\n\n# #region AuthSessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the authentication database.\n# @PRE: auth_engine is initialized.\nAuthSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=auth_engine)\n# #endregion AuthSessionLocal\n\n\n# #region _ensure_user_dashboard_preferences_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for user_dashboard_preferences table.\n# @PRE: bind_engine points to application database where profile table is stored.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_user_dashboard_preferences_columns(bind_engine):\n with belief_scope(\"_ensure_user_dashboard_preferences_columns\"):\n table_name = \"user_dashboard_preferences\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"git_username\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN git_username VARCHAR\"\n )\n if \"git_email\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN git_email VARCHAR\"\n )\n if \"git_personal_access_token_encrypted\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN git_personal_access_token_encrypted VARCHAR\"\n )\n if \"start_page\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN start_page VARCHAR NOT NULL DEFAULT 'dashboards'\"\n )\n if \"auto_open_task_drawer\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN auto_open_task_drawer BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n if \"dashboards_table_density\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN dashboards_table_density VARCHAR NOT NULL DEFAULT 'comfortable'\"\n )\n if \"show_only_slug_dashboards\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN show_only_slug_dashboards BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"Profile preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_user_dashboard_preferences_columns\n\n\n# #region _ensure_user_dashboard_preferences_health_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for user_dashboard_preferences table (health fields).\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_user_dashboard_preferences_health_columns(bind_engine):\n with belief_scope(\"_ensure_user_dashboard_preferences_health_columns\"):\n table_name = \"user_dashboard_preferences\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"telegram_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN telegram_id VARCHAR\"\n )\n if \"email_address\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN email_address VARCHAR\"\n )\n if \"notify_on_fail\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN notify_on_fail BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"Profile health preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_user_dashboard_preferences_health_columns\n\n\n# #region _ensure_llm_validation_results_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for llm_validation_results table.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_llm_validation_results_columns(bind_engine):\n with belief_scope(\"_ensure_llm_validation_results_columns\"):\n table_name = \"llm_validation_results\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"task_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE llm_validation_results ADD COLUMN task_id VARCHAR\"\n )\n if \"environment_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE llm_validation_results ADD COLUMN environment_id VARCHAR\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"ValidationRecord additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_llm_validation_results_columns\n\n\n# #region _ensure_git_server_configs_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for git_server_configs table.\n# @PRE: bind_engine points to application database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_git_server_configs_columns(bind_engine):\n with belief_scope(\"_ensure_git_server_configs_columns\"):\n table_name = \"git_server_configs\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"default_branch\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE git_server_configs ADD COLUMN default_branch VARCHAR NOT NULL DEFAULT 'main'\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"GitServerConfig preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_git_server_configs_columns\n\n\n# #region _ensure_auth_users_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for auth users table.\n# @PRE: bind_engine points to authentication database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [auth_engine]\ndef _ensure_auth_users_columns(bind_engine):\n with belief_scope(\"_ensure_auth_users_columns\"):\n table_name = \"users\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"full_name\" not in existing_columns:\n alter_statements.append(\"ALTER TABLE users ADD COLUMN full_name VARCHAR\")\n if \"is_ad_user\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE users ADD COLUMN is_ad_user BOOLEAN NOT NULL DEFAULT FALSE\"\n )\n\n if not alter_statements:\n logger.reason(\n \"Auth users schema already up to date\",\n extra={\"table\": table_name, \"columns\": sorted(existing_columns)},\n )\n return\n\n logger.reason(\n \"Applying additive auth users schema migration\",\n extra={\"table\": table_name, \"statements\": alter_statements},\n )\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n logger.reason(\n \"Auth users schema migration completed\",\n extra={\n \"table\": table_name,\n \"added_columns\": [\n stmt.split(\" ADD COLUMN \", 1)[1].split()[0]\n for stmt in alter_statements\n ],\n },\n )\n except Exception as migration_error:\n logger.explore(\n \"Auth users additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion _ensure_auth_users_columns\n\n\n# #region ensure_connection_configs_table [C:3] [TYPE Function]\n# @BRIEF Ensures the external connection registry table exists in the main database.\n# @PRE: bind_engine points to the application database.\n# @POST: connection_configs table exists without dropping existing data.\n# @RELATION DEPENDS_ON -> [ConnectionConfig]\ndef ensure_connection_configs_table(bind_engine):\n with belief_scope(\"ensure_connection_configs_table\"):\n try:\n ConnectionConfig.__table__.create(bind=bind_engine, checkfirst=True)\n except Exception as migration_error:\n logger.explore(\n \"ConnectionConfig table ensure failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion ensure_connection_configs_table\n\n\n# #region _ensure_filter_source_enum_values [C:3] [TYPE Function]\n# @BRIEF Adds missing FilterSource enum values to the PostgreSQL native filtersource type.\n# @PRE: bind_engine points to application database with imported_filters table.\n# @POST: New enum values are available without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_filter_source_enum_values(bind_engine):\n with belief_scope(\"_ensure_filter_source_enum_values\"):\n try:\n with bind_engine.connect() as connection:\n # Check if the native enum type exists\n result = connection.execute(\n text(\n \"SELECT t.typname FROM pg_type t \"\n \"JOIN pg_namespace n ON t.typnamespace = n.oid \"\n \"WHERE t.typname = 'filtersource' AND n.nspname = 'public'\"\n )\n )\n if result.fetchone() is None:\n logger.reason(\n \"filtersource enum type does not exist yet; skipping migration\"\n )\n return\n\n # Get existing enum values\n result = connection.execute(\n text(\n \"SELECT e.enumlabel FROM pg_enum e \"\n \"JOIN pg_type t ON e.enumtypid = t.oid \"\n \"WHERE t.typname = 'filtersource' \"\n \"ORDER BY e.enumsortorder\"\n )\n )\n existing_values = {row[0] for row in result.fetchall()}\n\n required_values = [\"SUPERSET_PERMALINK\", \"SUPERSET_NATIVE_FILTERS_KEY\"]\n missing_values = [\n v for v in required_values if v not in existing_values\n ]\n\n if not missing_values:\n logger.reason(\n \"filtersource enum already up to date\",\n extra={\"existing\": sorted(existing_values)},\n )\n return\n\n logger.reason(\n \"Adding missing values to filtersource enum\",\n extra={\"missing\": missing_values},\n )\n for value in missing_values:\n connection.execute(\n text(\n f\"ALTER TYPE filtersource ADD VALUE IF NOT EXISTS '{value}'\"\n )\n )\n connection.commit()\n logger.reason(\n \"filtersource enum migration completed\",\n extra={\"added\": missing_values},\n )\n except Exception as migration_error:\n logger.explore(\n \"FilterSource enum additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_filter_source_enum_values\n\n\n# #region _ensure_dataset_review_session_columns [C:4] [TYPE Function]\n# @BRIEF Apply additive schema upgrades for dataset review persistence required by optimistic-lock and recovery metadata semantics.\n# @PRE: bind_engine points to the application database where dataset review tables are stored.\n# @POST: Missing additive columns across legacy dataset review tables are created without removing existing data.\n# @SIDE_EFFECT: Executes ALTER TABLE statements against dataset review tables in the application database.\n# @RELATION DEPENDS_ON -> [DatasetReviewSession]\n# @RELATION DEPENDS_ON -> [ImportedFilter]\ndef _ensure_translation_jobs_columns(bind_engine):\n with belief_scope(\"_ensure_translation_jobs_columns\"):\n table_name = \"translation_jobs\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n if \"environment_id\" not in existing_columns:\n try:\n with bind_engine.begin() as connection:\n connection.execute(\n text(\n \"ALTER TABLE translation_jobs \"\n \"ADD COLUMN environment_id VARCHAR\"\n )\n )\n logger.reflect(\n \"Added environment_id column to translation_jobs\",\n )\n except Exception as migration_error:\n logger.explore(\n \"Failed to add environment_id to translation_jobs\",\n extra={\"error\": str(migration_error)},\n )\n raise\n\n if \"target_database_id\" not in existing_columns:\n try:\n with bind_engine.begin() as connection:\n connection.execute(\n text(\n \"ALTER TABLE translation_jobs \"\n \"ADD COLUMN target_database_id VARCHAR\"\n )\n )\n logger.reflect(\n \"Added target_database_id column to translation_jobs\",\n )\n except Exception as migration_error:\n logger.explore(\n \"Failed to add target_database_id to translation_jobs\",\n extra={\"error\": str(migration_error)},\n )\n\n\ndef _ensure_dataset_review_session_columns(bind_engine):\n with belief_scope(\"_ensure_dataset_review_session_columns\"):\n inspector = inspect(bind_engine)\n existing_tables = set(inspector.get_table_names())\n migration_plan = {\n \"dataset_review_sessions\": [\n (\n \"version\",\n \"ALTER TABLE dataset_review_sessions \"\n \"ADD COLUMN version INTEGER NOT NULL DEFAULT 0\",\n )\n ],\n \"imported_filters\": [\n (\n \"raw_value_masked\",\n \"ALTER TABLE imported_filters \"\n \"ADD COLUMN raw_value_masked BOOLEAN NOT NULL DEFAULT FALSE\",\n )\n ],\n }\n\n for table_name, planned_columns in migration_plan.items():\n if table_name not in existing_tables:\n logger.reason(\n \"Dataset review table does not exist yet; skipping additive schema migration\",\n extra={\"table\": table_name},\n )\n continue\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n alter_statements = [\n statement\n for column_name, statement in planned_columns\n if column_name not in existing_columns\n ]\n\n if not alter_statements:\n logger.reason(\n \"Dataset review table schema already up to date\",\n extra={\"table\": table_name, \"columns\": sorted(existing_columns)},\n )\n continue\n\n logger.reason(\n \"Applying additive dataset review schema migration\",\n extra={\"table\": table_name, \"statements\": alter_statements},\n )\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n logger.reflect(\n \"Dataset review additive schema migration completed\",\n extra={\n \"table\": table_name,\n \"added_columns\": [\n stmt.split(\" ADD COLUMN \", 1)[1].split()[0]\n for stmt in alter_statements\n ],\n },\n )\n except Exception as migration_error:\n logger.explore(\n \"Dataset review additive schema migration failed\",\n extra={\"table\": table_name, \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion _ensure_dataset_review_session_columns\n\n\n# #region _ensure_translation_schedules_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for translation_schedules table.\n# @PRE: bind_engine points to application database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_translation_schedules_columns(bind_engine):\n with belief_scope(\"_ensure_translation_schedules_columns\"):\n table_name = \"translation_schedules\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"execution_mode\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE translation_schedules \"\n \"ADD COLUMN execution_mode VARCHAR NOT NULL DEFAULT 'full'\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"TranslationSchedule additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_translation_schedules_columns\n\n\n# #region _ensure_dictionary_entries_columns [C:3] [TYPE Function]\n# @BRIEF Additive migration for dictionary_entries origin tracking columns.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_dictionary_entries_columns(bind_engine):\n with belief_scope(\"_ensure_dictionary_entries_columns\"):\n table_name = \"dictionary_entries\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"origin_run_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_run_id VARCHAR\"\n )\n if \"origin_row_key\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_row_key VARCHAR\"\n )\n if \"origin_user_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_user_id VARCHAR\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"DictionaryEntry additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_dictionary_entries_columns\n\n\n# #region init_db [C:3] [TYPE Function]\n# @BRIEF Initializes the database by creating all tables.\n# @PRE: engine, tasks_engine and auth_engine are initialized.\n# @POST: Database tables created in all databases.\n# @SIDE_EFFECT: Creates physical database files if they don't exist.\n# @RELATION CALLS -> [ensure_connection_configs_table]\n# @RELATION CALLS -> [_ensure_filter_source_enum_values]\n# @RELATION CALLS -> [_ensure_dataset_review_session_columns]\n# @RELATION CALLS -> [_ensure_dictionary_entries_columns]\ndef init_db():\n with belief_scope(\"init_db\"):\n Base.metadata.create_all(bind=engine)\n Base.metadata.create_all(bind=tasks_engine)\n Base.metadata.create_all(bind=auth_engine)\n _ensure_user_dashboard_preferences_columns(engine)\n _ensure_llm_validation_results_columns(engine)\n _ensure_user_dashboard_preferences_health_columns(engine)\n _ensure_git_server_configs_columns(engine)\n _ensure_auth_users_columns(auth_engine)\n ensure_connection_configs_table(engine)\n _ensure_filter_source_enum_values(engine)\n _ensure_dataset_review_session_columns(engine)\n _ensure_translation_jobs_columns(engine)\n _ensure_translation_schedules_columns(engine)\n _ensure_dictionary_entries_columns(engine)\n\n\n# #endregion init_db\n\n\n# #region get_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting a database session.\n# @PRE: SessionLocal is initialized.\n# @POST: Session is closed after use.\n# @RELATION DEPENDS_ON -> [SessionLocal]\ndef get_db():\n with belief_scope(\"get_db\"):\n db = SessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_db\n\n\n# #region get_tasks_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting a tasks database session.\n# @PRE: TasksSessionLocal is initialized.\n# @POST: Session is closed after use.\n# @RELATION DEPENDS_ON -> [TasksSessionLocal]\ndef get_tasks_db():\n with belief_scope(\"get_tasks_db\"):\n db = TasksSessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_tasks_db\n\n\n# #region get_auth_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting an authentication database session.\n# @PRE: AuthSessionLocal is initialized.\n# @POST: Session is closed after use.\n# @DATA_CONTRACT: None -> Output[sqlalchemy.orm.Session]\n# @RELATION DEPENDS_ON -> [AuthSessionLocal]\ndef get_auth_db():\n with belief_scope(\"get_auth_db\"):\n db = AuthSessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_auth_db\n\n# #endregion DatabaseModule\n" + "body": "# #region DatabaseModule [C:3] [TYPE Module] [SEMANTICS sqlalchemy, connection, session]\n#\n# @BRIEF Configures database connection and session management (PostgreSQL-first).\n# @LAYER: Infrastructure\n# @RELATION DEPENDS_ON -> [MappingModels]\n# @RELATION DEPENDS_ON -> [auth_config]\n#\n# @INVARIANT: A single engine instance is used for the entire application.\n\nimport os\nfrom pathlib import Path\n\nfrom sqlalchemy import create_engine, inspect, text\nfrom sqlalchemy.orm import sessionmaker\n\n# Import models to ensure they're registered with Base\nfrom ..models import (\n assistant as _assistant_models, # noqa: F401\n auth as _auth_models, # noqa: F401\n clean_release as _clean_release_models, # noqa: F401\n config as _config_models, # noqa: F401\n dataset_review as _dataset_review_models, # noqa: F401\n llm as _llm_models, # noqa: F401\n profile as _profile_models, # noqa: F401\n task as _task_models, # noqa: F401\n)\nfrom ..models.mapping import Base\nfrom .auth.config import auth_config\nfrom .logger import belief_scope, logger\n\n# #region BASE_DIR [C:1] [TYPE Variable]\n# @BRIEF Base directory for the backend.\nBASE_DIR = Path(__file__).resolve().parent.parent.parent\n# #endregion BASE_DIR\n\n# #region DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the main application database. Read from env; dev fallback only.\n# @RATIONALE DATABASE_URL reads from env (DATABASE_URL or POSTGRES_URL).\n# Crashes at import if unset in production; provides localhost fallback in dev.\n# @REJECTED Hardcoded postgres:postgres@localhost in source code rejected — exposes\n# database credentials in version control (Class 1 security violation).\n_DATABASE_URL = os.getenv(\"DATABASE_URL\") or os.getenv(\"POSTGRES_URL\")\nif _DATABASE_URL:\n DATABASE_URL = _DATABASE_URL\nelif os.getenv(\"DEV_MODE\", \"\").strip().lower() in {\"1\", \"true\", \"yes\"}:\n DATABASE_URL = \"postgresql+psycopg2://postgres:postgres@localhost:5432/ss_tools\"\nelse:\n raise RuntimeError(\n \"DATABASE_URL (or POSTGRES_URL) environment variable is required. \"\n \"Set it before starting the server.\"\n )\n# #endregion DATABASE_URL\n\n# #region TASKS_DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the tasks execution database.\n# Defaults to DATABASE_URL to keep task logs in the same PostgreSQL instance.\nTASKS_DATABASE_URL = os.getenv(\"TASKS_DATABASE_URL\", DATABASE_URL)\n# #endregion TASKS_DATABASE_URL\n\n# #region AUTH_DATABASE_URL [C:1] [TYPE Constant]\n# @BRIEF URL for the authentication database.\nAUTH_DATABASE_URL = os.getenv(\"AUTH_DATABASE_URL\", auth_config.AUTH_DATABASE_URL)\n# #endregion AUTH_DATABASE_URL\n\n\n# #region engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for mappings database.\n# @SIDE_EFFECT: Creates database engine and manages connection pool.\ndef _build_engine(db_url: str):\n with belief_scope(\"_build_engine\"):\n if db_url.startswith(\"sqlite\"):\n return create_engine(db_url, connect_args={\"check_same_thread\": False})\n return create_engine(db_url, pool_pre_ping=True)\n\n\nengine = _build_engine(DATABASE_URL)\n# #endregion engine\n\n# #region tasks_engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for tasks database.\ntasks_engine = _build_engine(TASKS_DATABASE_URL)\n# #endregion tasks_engine\n\n# #region auth_engine [C:1] [TYPE Variable]\n# @BRIEF SQLAlchemy engine for authentication database.\nauth_engine = _build_engine(AUTH_DATABASE_URL)\n# #endregion auth_engine\n\n# #region SessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the main mappings database.\n# @PRE: engine is initialized.\nSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)\n# #endregion SessionLocal\n\n# #region TasksSessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the tasks execution database.\n# @PRE: tasks_engine is initialized.\nTasksSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=tasks_engine)\n# #endregion TasksSessionLocal\n\n# #region AuthSessionLocal [C:1] [TYPE Class]\n# @BRIEF A session factory for the authentication database.\n# @PRE: auth_engine is initialized.\nAuthSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=auth_engine)\n# #endregion AuthSessionLocal\n\n\n# #region _ensure_user_dashboard_preferences_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for user_dashboard_preferences table.\n# @PRE: bind_engine points to application database where profile table is stored.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_user_dashboard_preferences_columns(bind_engine):\n with belief_scope(\"_ensure_user_dashboard_preferences_columns\"):\n table_name = \"user_dashboard_preferences\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"git_username\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN git_username VARCHAR\"\n )\n if \"git_email\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN git_email VARCHAR\"\n )\n if \"git_personal_access_token_encrypted\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN git_personal_access_token_encrypted VARCHAR\"\n )\n if \"start_page\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN start_page VARCHAR NOT NULL DEFAULT 'dashboards'\"\n )\n if \"auto_open_task_drawer\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN auto_open_task_drawer BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n if \"dashboards_table_density\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN dashboards_table_density VARCHAR NOT NULL DEFAULT 'comfortable'\"\n )\n if \"show_only_slug_dashboards\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences \"\n \"ADD COLUMN show_only_slug_dashboards BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"Profile preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_user_dashboard_preferences_columns\n\n\n# #region _ensure_user_dashboard_preferences_health_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for user_dashboard_preferences table (health fields).\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_user_dashboard_preferences_health_columns(bind_engine):\n with belief_scope(\"_ensure_user_dashboard_preferences_health_columns\"):\n table_name = \"user_dashboard_preferences\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"telegram_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN telegram_id VARCHAR\"\n )\n if \"email_address\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN email_address VARCHAR\"\n )\n if \"notify_on_fail\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE user_dashboard_preferences ADD COLUMN notify_on_fail BOOLEAN NOT NULL DEFAULT TRUE\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"Profile health preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_user_dashboard_preferences_health_columns\n\n\n# #region _ensure_llm_validation_results_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for llm_validation_results table.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_llm_validation_results_columns(bind_engine):\n with belief_scope(\"_ensure_llm_validation_results_columns\"):\n table_name = \"llm_validation_results\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"task_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE llm_validation_results ADD COLUMN task_id VARCHAR\"\n )\n if \"environment_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE llm_validation_results ADD COLUMN environment_id VARCHAR\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"ValidationRecord additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_llm_validation_results_columns\n\n\n# #region _ensure_git_server_configs_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for git_server_configs table.\n# @PRE: bind_engine points to application database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_git_server_configs_columns(bind_engine):\n with belief_scope(\"_ensure_git_server_configs_columns\"):\n table_name = \"git_server_configs\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"default_branch\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE git_server_configs ADD COLUMN default_branch VARCHAR NOT NULL DEFAULT 'main'\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"GitServerConfig preference additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_git_server_configs_columns\n\n\n# #region _ensure_auth_users_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for auth users table.\n# @PRE: bind_engine points to authentication database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [auth_engine]\ndef _ensure_auth_users_columns(bind_engine):\n with belief_scope(\"_ensure_auth_users_columns\"):\n table_name = \"users\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"full_name\" not in existing_columns:\n alter_statements.append(\"ALTER TABLE users ADD COLUMN full_name VARCHAR\")\n if \"is_ad_user\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE users ADD COLUMN is_ad_user BOOLEAN NOT NULL DEFAULT FALSE\"\n )\n\n if not alter_statements:\n logger.reason(\n \"Auth users schema already up to date\",\n extra={\"table\": table_name, \"columns\": sorted(existing_columns)},\n )\n return\n\n logger.reason(\n \"Applying additive auth users schema migration\",\n extra={\"table\": table_name, \"statements\": alter_statements},\n )\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n logger.reason(\n \"Auth users schema migration completed\",\n extra={\n \"table\": table_name,\n \"added_columns\": [\n stmt.split(\" ADD COLUMN \", 1)[1].split()[0]\n for stmt in alter_statements\n ],\n },\n )\n except Exception as migration_error:\n logger.explore(\n \"Auth users additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion _ensure_auth_users_columns\n\n\n# #region _ensure_filter_source_enum_values [C:3] [TYPE Function]\n# @BRIEF Adds missing FilterSource enum values to the PostgreSQL native filtersource type.\n# @PRE: bind_engine points to application database with imported_filters table.\n# @POST: New enum values are available without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_filter_source_enum_values(bind_engine):\n with belief_scope(\"_ensure_filter_source_enum_values\"):\n try:\n with bind_engine.connect() as connection:\n # Check if the native enum type exists\n result = connection.execute(\n text(\n \"SELECT t.typname FROM pg_type t \"\n \"JOIN pg_namespace n ON t.typnamespace = n.oid \"\n \"WHERE t.typname = 'filtersource' AND n.nspname = 'public'\"\n )\n )\n if result.fetchone() is None:\n logger.reason(\n \"filtersource enum type does not exist yet; skipping migration\"\n )\n return\n\n # Get existing enum values\n result = connection.execute(\n text(\n \"SELECT e.enumlabel FROM pg_enum e \"\n \"JOIN pg_type t ON e.enumtypid = t.oid \"\n \"WHERE t.typname = 'filtersource' \"\n \"ORDER BY e.enumsortorder\"\n )\n )\n existing_values = {row[0] for row in result.fetchall()}\n\n required_values = [\"SUPERSET_PERMALINK\", \"SUPERSET_NATIVE_FILTERS_KEY\"]\n missing_values = [\n v for v in required_values if v not in existing_values\n ]\n\n if not missing_values:\n logger.reason(\n \"filtersource enum already up to date\",\n extra={\"existing\": sorted(existing_values)},\n )\n return\n\n logger.reason(\n \"Adding missing values to filtersource enum\",\n extra={\"missing\": missing_values},\n )\n for value in missing_values:\n connection.execute(\n text(\n f\"ALTER TYPE filtersource ADD VALUE IF NOT EXISTS '{value}'\"\n )\n )\n connection.commit()\n logger.reason(\n \"filtersource enum migration completed\",\n extra={\"added\": missing_values},\n )\n except Exception as migration_error:\n logger.explore(\n \"FilterSource enum additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_filter_source_enum_values\n\n\n# #region _ensure_dataset_review_session_columns [C:4] [TYPE Function]\n# @BRIEF Apply additive schema upgrades for dataset review persistence required by optimistic-lock and recovery metadata semantics.\n# @PRE: bind_engine points to the application database where dataset review tables are stored.\n# @POST: Missing additive columns across legacy dataset review tables are created without removing existing data.\n# @SIDE_EFFECT: Executes ALTER TABLE statements against dataset review tables in the application database.\n# @RELATION DEPENDS_ON -> [DatasetReviewSession]\n# @RELATION DEPENDS_ON -> [ImportedFilter]\ndef _ensure_translation_jobs_columns(bind_engine):\n with belief_scope(\"_ensure_translation_jobs_columns\"):\n table_name = \"translation_jobs\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n if \"environment_id\" not in existing_columns:\n try:\n with bind_engine.begin() as connection:\n connection.execute(\n text(\n \"ALTER TABLE translation_jobs \"\n \"ADD COLUMN environment_id VARCHAR\"\n )\n )\n logger.reflect(\n \"Added environment_id column to translation_jobs\",\n )\n except Exception as migration_error:\n logger.explore(\n \"Failed to add environment_id to translation_jobs\",\n extra={\"error\": str(migration_error)},\n )\n raise\n\n if \"target_database_id\" not in existing_columns:\n try:\n with bind_engine.begin() as connection:\n connection.execute(\n text(\n \"ALTER TABLE translation_jobs \"\n \"ADD COLUMN target_database_id VARCHAR\"\n )\n )\n logger.reflect(\n \"Added target_database_id column to translation_jobs\",\n )\n except Exception as migration_error:\n logger.explore(\n \"Failed to add target_database_id to translation_jobs\",\n extra={\"error\": str(migration_error)},\n )\n\n\ndef _ensure_dataset_review_session_columns(bind_engine):\n with belief_scope(\"_ensure_dataset_review_session_columns\"):\n inspector = inspect(bind_engine)\n existing_tables = set(inspector.get_table_names())\n migration_plan = {\n \"dataset_review_sessions\": [\n (\n \"version\",\n \"ALTER TABLE dataset_review_sessions \"\n \"ADD COLUMN version INTEGER NOT NULL DEFAULT 0\",\n )\n ],\n \"imported_filters\": [\n (\n \"raw_value_masked\",\n \"ALTER TABLE imported_filters \"\n \"ADD COLUMN raw_value_masked BOOLEAN NOT NULL DEFAULT FALSE\",\n )\n ],\n }\n\n for table_name, planned_columns in migration_plan.items():\n if table_name not in existing_tables:\n logger.reason(\n \"Dataset review table does not exist yet; skipping additive schema migration\",\n extra={\"table\": table_name},\n )\n continue\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n alter_statements = [\n statement\n for column_name, statement in planned_columns\n if column_name not in existing_columns\n ]\n\n if not alter_statements:\n logger.reason(\n \"Dataset review table schema already up to date\",\n extra={\"table\": table_name, \"columns\": sorted(existing_columns)},\n )\n continue\n\n logger.reason(\n \"Applying additive dataset review schema migration\",\n extra={\"table\": table_name, \"statements\": alter_statements},\n )\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n logger.reflect(\n \"Dataset review additive schema migration completed\",\n extra={\n \"table\": table_name,\n \"added_columns\": [\n stmt.split(\" ADD COLUMN \", 1)[1].split()[0]\n for stmt in alter_statements\n ],\n },\n )\n except Exception as migration_error:\n logger.explore(\n \"Dataset review additive schema migration failed\",\n extra={\"table\": table_name, \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion _ensure_dataset_review_session_columns\n\n\n# #region _ensure_translation_schedules_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for translation_schedules table.\n# @PRE: bind_engine points to application database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_translation_schedules_columns(bind_engine):\n with belief_scope(\"_ensure_translation_schedules_columns\"):\n table_name = \"translation_schedules\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"execution_mode\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE translation_schedules \"\n \"ADD COLUMN execution_mode VARCHAR NOT NULL DEFAULT 'full'\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"TranslationSchedule additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_translation_schedules_columns\n\n\n# #region _ensure_dictionary_entries_columns [C:3] [TYPE Function]\n# @BRIEF Additive migration for dictionary_entries origin tracking columns.\n# @RELATION DEPENDS_ON -> [engine]\ndef _ensure_dictionary_entries_columns(bind_engine):\n with belief_scope(\"_ensure_dictionary_entries_columns\"):\n table_name = \"dictionary_entries\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"origin_run_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_run_id VARCHAR\"\n )\n if \"origin_row_key\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_row_key VARCHAR\"\n )\n if \"origin_user_id\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE dictionary_entries \"\n \"ADD COLUMN origin_user_id VARCHAR\"\n )\n\n if not alter_statements:\n return\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n except Exception as migration_error:\n logger.explore(\n \"DictionaryEntry additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n\n\n# #endregion _ensure_dictionary_entries_columns\n\n\n# #region init_db [C:3] [TYPE Function]\n# @BRIEF Initializes the database by creating all tables.\n# @PRE: engine, tasks_engine and auth_engine are initialized.\n# @POST: Database tables created in all databases.\n# @SIDE_EFFECT: Creates physical database files if they don't exist.\n# @RELATION CALLS -> [_ensure_filter_source_enum_values]\n# @RELATION CALLS -> [_ensure_dataset_review_session_columns]\n# @RELATION CALLS -> [_ensure_dictionary_entries_columns]\ndef init_db():\n with belief_scope(\"init_db\"):\n Base.metadata.create_all(bind=engine)\n Base.metadata.create_all(bind=tasks_engine)\n Base.metadata.create_all(bind=auth_engine)\n _ensure_user_dashboard_preferences_columns(engine)\n _ensure_llm_validation_results_columns(engine)\n _ensure_user_dashboard_preferences_health_columns(engine)\n _ensure_git_server_configs_columns(engine)\n _ensure_auth_users_columns(auth_engine)\n _ensure_filter_source_enum_values(engine)\n _ensure_dataset_review_session_columns(engine)\n _ensure_translation_jobs_columns(engine)\n _ensure_translation_schedules_columns(engine)\n _ensure_dictionary_entries_columns(engine)\n\n\n# #endregion init_db\n\n\n# #region get_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting a database session.\n# @PRE: SessionLocal is initialized.\n# @POST: Session is closed after use.\n# @RELATION DEPENDS_ON -> [SessionLocal]\ndef get_db():\n with belief_scope(\"get_db\"):\n db = SessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_db\n\n\n# #region get_tasks_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting a tasks database session.\n# @PRE: TasksSessionLocal is initialized.\n# @POST: Session is closed after use.\n# @RELATION DEPENDS_ON -> [TasksSessionLocal]\ndef get_tasks_db():\n with belief_scope(\"get_tasks_db\"):\n db = TasksSessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_tasks_db\n\n\n# #region get_auth_db [C:3] [TYPE Function]\n# @BRIEF Dependency for getting an authentication database session.\n# @PRE: AuthSessionLocal is initialized.\n# @POST: Session is closed after use.\n# @DATA_CONTRACT: None -> Output[sqlalchemy.orm.Session]\n# @RELATION DEPENDS_ON -> [AuthSessionLocal]\ndef get_auth_db():\n with belief_scope(\"get_auth_db\"):\n db = AuthSessionLocal()\n try:\n yield db\n finally:\n db.close()\n\n\n# #endregion get_auth_db\n\n# #endregion DatabaseModule\n" }, { "contract_id": "BASE_DIR", "contract_type": "Variable", "file_path": "backend/src/core/database.py", - "start_line": 34, - "end_line": 37, + "start_line": 31, + "end_line": 34, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20480,8 +21822,8 @@ "contract_id": "DATABASE_URL", "contract_type": "Constant", "file_path": "backend/src/core/database.py", - "start_line": 39, - "end_line": 55, + "start_line": 36, + "end_line": 52, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20580,8 +21922,8 @@ "contract_id": "TASKS_DATABASE_URL", "contract_type": "Constant", "file_path": "backend/src/core/database.py", - "start_line": 57, - "end_line": 61, + "start_line": 54, + "end_line": 58, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20652,8 +21994,8 @@ "contract_id": "AUTH_DATABASE_URL", "contract_type": "Constant", "file_path": "backend/src/core/database.py", - "start_line": 63, - "end_line": 66, + "start_line": 60, + "end_line": 63, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20724,8 +22066,8 @@ "contract_id": "engine", "contract_type": "Variable", "file_path": "backend/src/core/database.py", - "start_line": 69, - "end_line": 80, + "start_line": 66, + "end_line": 77, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20821,8 +22163,8 @@ "contract_id": "tasks_engine", "contract_type": "Variable", "file_path": "backend/src/core/database.py", - "start_line": 82, - "end_line": 85, + "start_line": 79, + "end_line": 82, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20893,8 +22235,8 @@ "contract_id": "auth_engine", "contract_type": "Variable", "file_path": "backend/src/core/database.py", - "start_line": 87, - "end_line": 90, + "start_line": 84, + "end_line": 87, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20965,8 +22307,8 @@ "contract_id": "SessionLocal", "contract_type": "Class", "file_path": "backend/src/core/database.py", - "start_line": 92, - "end_line": 96, + "start_line": 89, + "end_line": 93, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -20984,8 +22326,8 @@ "contract_id": "TasksSessionLocal", "contract_type": "Class", "file_path": "backend/src/core/database.py", - "start_line": 98, - "end_line": 102, + "start_line": 95, + "end_line": 99, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -21003,8 +22345,8 @@ "contract_id": "AuthSessionLocal", "contract_type": "Class", "file_path": "backend/src/core/database.py", - "start_line": 104, - "end_line": 108, + "start_line": 101, + "end_line": 105, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -21022,8 +22364,8 @@ "contract_id": "_ensure_user_dashboard_preferences_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 111, - "end_line": 177, + "start_line": 108, + "end_line": 174, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21049,8 +22391,8 @@ "contract_id": "_ensure_user_dashboard_preferences_health_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 180, - "end_line": 223, + "start_line": 177, + "end_line": 220, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21074,8 +22416,8 @@ "contract_id": "_ensure_llm_validation_results_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 226, - "end_line": 265, + "start_line": 223, + "end_line": 262, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21099,8 +22441,8 @@ "contract_id": "_ensure_git_server_configs_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 268, - "end_line": 305, + "start_line": 265, + "end_line": 302, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21126,8 +22468,8 @@ "contract_id": "_ensure_auth_users_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 308, - "end_line": 367, + "start_line": 305, + "end_line": 364, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21149,39 +22491,12 @@ "tier_source": "AutoCalculated", "body": "# #region _ensure_auth_users_columns [C:3] [TYPE Function]\n# @BRIEF Applies additive schema upgrades for auth users table.\n# @PRE: bind_engine points to authentication database.\n# @POST: Missing columns are added without data loss.\n# @RELATION DEPENDS_ON -> [auth_engine]\ndef _ensure_auth_users_columns(bind_engine):\n with belief_scope(\"_ensure_auth_users_columns\"):\n table_name = \"users\"\n inspector = inspect(bind_engine)\n if table_name not in inspector.get_table_names():\n return\n\n existing_columns = {\n str(column.get(\"name\") or \"\").strip()\n for column in inspector.get_columns(table_name)\n }\n\n alter_statements = []\n if \"full_name\" not in existing_columns:\n alter_statements.append(\"ALTER TABLE users ADD COLUMN full_name VARCHAR\")\n if \"is_ad_user\" not in existing_columns:\n alter_statements.append(\n \"ALTER TABLE users ADD COLUMN is_ad_user BOOLEAN NOT NULL DEFAULT FALSE\"\n )\n\n if not alter_statements:\n logger.reason(\n \"Auth users schema already up to date\",\n extra={\"table\": table_name, \"columns\": sorted(existing_columns)},\n )\n return\n\n logger.reason(\n \"Applying additive auth users schema migration\",\n extra={\"table\": table_name, \"statements\": alter_statements},\n )\n\n try:\n with bind_engine.begin() as connection:\n for statement in alter_statements:\n connection.execute(text(statement))\n logger.reason(\n \"Auth users schema migration completed\",\n extra={\n \"table\": table_name,\n \"added_columns\": [\n stmt.split(\" ADD COLUMN \", 1)[1].split()[0]\n for stmt in alter_statements\n ],\n },\n )\n except Exception as migration_error:\n logger.explore(\n \"Auth users additive migration failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion _ensure_auth_users_columns\n" }, - { - "contract_id": "ensure_connection_configs_table", - "contract_type": "Function", - "file_path": "backend/src/core/database.py", - "start_line": 370, - "end_line": 387, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "POST": "connection_configs table exists without dropping existing data.", - "PRE": "bind_engine points to the application database.", - "PURPOSE": "Ensures the external connection registry table exists in the main database." - }, - "relations": [ - { - "source_id": "ensure_connection_configs_table", - "relation_type": "DEPENDS_ON", - "target_id": "ConnectionConfig", - "target_ref": "[ConnectionConfig]" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ensure_connection_configs_table [C:3] [TYPE Function]\n# @BRIEF Ensures the external connection registry table exists in the main database.\n# @PRE: bind_engine points to the application database.\n# @POST: connection_configs table exists without dropping existing data.\n# @RELATION DEPENDS_ON -> [ConnectionConfig]\ndef ensure_connection_configs_table(bind_engine):\n with belief_scope(\"ensure_connection_configs_table\"):\n try:\n ConnectionConfig.__table__.create(bind=bind_engine, checkfirst=True)\n except Exception as migration_error:\n logger.explore(\n \"ConnectionConfig table ensure failed\",\n extra={\"src\": \"database\", \"error\": str(migration_error)},\n )\n raise\n\n\n# #endregion ensure_connection_configs_table\n" - }, { "contract_id": "_ensure_filter_source_enum_values", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 390, - "end_line": 458, + "start_line": 367, + "end_line": 435, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21207,8 +22522,8 @@ "contract_id": "_ensure_dataset_review_session_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 461, - "end_line": 591, + "start_line": 438, + "end_line": 568, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -21241,8 +22556,8 @@ "contract_id": "_ensure_translation_schedules_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 594, - "end_line": 632, + "start_line": 571, + "end_line": 609, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21268,8 +22583,8 @@ "contract_id": "_ensure_dictionary_entries_columns", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 635, - "end_line": 681, + "start_line": 612, + "end_line": 658, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21293,8 +22608,8 @@ "contract_id": "init_db", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 684, - "end_line": 711, + "start_line": 661, + "end_line": 686, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21305,12 +22620,6 @@ "SIDE_EFFECT": "Creates physical database files if they don't exist." }, "relations": [ - { - "source_id": "init_db", - "relation_type": "CALLS", - "target_id": "ensure_connection_configs_table", - "target_ref": "[ensure_connection_configs_table]" - }, { "source_id": "init_db", "relation_type": "CALLS", @@ -21333,14 +22642,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region init_db [C:3] [TYPE Function]\n# @BRIEF Initializes the database by creating all tables.\n# @PRE: engine, tasks_engine and auth_engine are initialized.\n# @POST: Database tables created in all databases.\n# @SIDE_EFFECT: Creates physical database files if they don't exist.\n# @RELATION CALLS -> [ensure_connection_configs_table]\n# @RELATION CALLS -> [_ensure_filter_source_enum_values]\n# @RELATION CALLS -> [_ensure_dataset_review_session_columns]\n# @RELATION CALLS -> [_ensure_dictionary_entries_columns]\ndef init_db():\n with belief_scope(\"init_db\"):\n Base.metadata.create_all(bind=engine)\n Base.metadata.create_all(bind=tasks_engine)\n Base.metadata.create_all(bind=auth_engine)\n _ensure_user_dashboard_preferences_columns(engine)\n _ensure_llm_validation_results_columns(engine)\n _ensure_user_dashboard_preferences_health_columns(engine)\n _ensure_git_server_configs_columns(engine)\n _ensure_auth_users_columns(auth_engine)\n ensure_connection_configs_table(engine)\n _ensure_filter_source_enum_values(engine)\n _ensure_dataset_review_session_columns(engine)\n _ensure_translation_jobs_columns(engine)\n _ensure_translation_schedules_columns(engine)\n _ensure_dictionary_entries_columns(engine)\n\n\n# #endregion init_db\n" + "body": "# #region init_db [C:3] [TYPE Function]\n# @BRIEF Initializes the database by creating all tables.\n# @PRE: engine, tasks_engine and auth_engine are initialized.\n# @POST: Database tables created in all databases.\n# @SIDE_EFFECT: Creates physical database files if they don't exist.\n# @RELATION CALLS -> [_ensure_filter_source_enum_values]\n# @RELATION CALLS -> [_ensure_dataset_review_session_columns]\n# @RELATION CALLS -> [_ensure_dictionary_entries_columns]\ndef init_db():\n with belief_scope(\"init_db\"):\n Base.metadata.create_all(bind=engine)\n Base.metadata.create_all(bind=tasks_engine)\n Base.metadata.create_all(bind=auth_engine)\n _ensure_user_dashboard_preferences_columns(engine)\n _ensure_llm_validation_results_columns(engine)\n _ensure_user_dashboard_preferences_health_columns(engine)\n _ensure_git_server_configs_columns(engine)\n _ensure_auth_users_columns(auth_engine)\n _ensure_filter_source_enum_values(engine)\n _ensure_dataset_review_session_columns(engine)\n _ensure_translation_jobs_columns(engine)\n _ensure_translation_schedules_columns(engine)\n _ensure_dictionary_entries_columns(engine)\n\n\n# #endregion init_db\n" }, { "contract_id": "get_db", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 714, - "end_line": 728, + "start_line": 689, + "end_line": 703, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21366,8 +22675,8 @@ "contract_id": "get_tasks_db", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 731, - "end_line": 745, + "start_line": 706, + "end_line": 720, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -21393,8 +22702,8 @@ "contract_id": "get_auth_db", "contract_type": "Function", "file_path": "backend/src/core/database.py", - "start_line": 748, - "end_line": 763, + "start_line": 723, + "end_line": 738, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -24971,7 +26280,7 @@ "contract_type": "Module", "file_path": "backend/src/core/superset_client/_datasets.py", "start_line": 1, - "end_line": 186, + "end_line": 205, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -25009,7 +26318,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region SupersetDatasetsMixin [C:3] [TYPE Module] [SEMANTICS dataset, superset, search, superset-datasets-mixin]\n# @LAYER: Infra\n# @BRIEF Dataset domain mixin for SupersetClient — list, get, detail, update.\n# @RELATION DEPENDS_ON -> [SupersetClientBase]\nimport json\nfrom typing import Any, cast\n\nfrom ..logger import belief_scope, logger as app_logger\n\napp_logger = cast(Any, app_logger)\n# #region SupersetDatasetsMixin [C:3] [TYPE Class]\n# @BRIEF Mixin providing basic dataset CRUD operations (list, get, detail, update).\n# @RELATION DEPENDS_ON -> [SupersetClientBase]\nclass SupersetDatasetsMixin:\n # #region SupersetClientGetDatasets [TYPE Function] [C:3]\n # @PURPOSE: Получает полный список датасетов, автоматически обрабатывая пагинацию.\n # @RELATION: CALLS -> [SupersetClientFetchAllPages]\n def get_datasets(self, query: dict | None = None) -> tuple[int, list[dict]]:\n with belief_scope(\"get_datasets\"):\n app_logger.info(\"[get_datasets][Enter] Fetching datasets.\")\n validated_query = self._validate_query_params(query)\n paginated_data = self._fetch_all_pages(\n endpoint=\"/dataset/\",\n pagination_options={\n \"base_query\": validated_query,\n \"results_field\": \"result\",\n },\n )\n total_count = len(paginated_data)\n app_logger.reflect(f\"Found {total_count} datasets.\", extra={\"src\": \"get_datasets\"})\n return total_count, paginated_data\n # #endregion SupersetClientGetDatasets\n # #region SupersetClientGetDatasetsSummary [TYPE Function] [C:3]\n # @PURPOSE: Fetches dataset metadata optimized for the Dataset Hub grid.\n # @RELATION: CALLS -> [SupersetClientGetDatasets]\n def get_datasets_summary(self) -> list[dict]:\n with belief_scope(\"SupersetClient.get_datasets_summary\"):\n query = {\"columns\": [\"id\", \"table_name\", \"schema\", \"database\"]}\n _, datasets = self.get_datasets(query=query)\n result = []\n for ds in datasets:\n result.append(\n {\n \"id\": ds.get(\"id\"),\n \"table_name\": ds.get(\"table_name\"),\n \"schema\": ds.get(\"schema\"),\n \"database\": ds.get(\"database\", {}).get(\n \"database_name\", \"Unknown\"\n ),\n }\n )\n return result\n # #endregion SupersetClientGetDatasetsSummary\n # #region SupersetClientGetDatasetDetail [TYPE Function] [C:3]\n # @PURPOSE: Fetches detailed dataset information including columns and linked dashboards.\n # @RELATION: CALLS -> [SupersetClientGetDataset]\n # @RELATION: CALLS -> [APIClient]\n def get_dataset_detail(self, dataset_id: int) -> dict:\n with belief_scope(\"SupersetClient.get_dataset_detail\", f\"id={dataset_id}\"):\n def as_bool(value, default=False):\n if value is None:\n return default\n if isinstance(value, bool):\n return value\n if isinstance(value, str):\n return value.strip().lower() in (\"1\", \"true\", \"yes\", \"y\", \"on\")\n return bool(value)\n response = self.get_dataset(dataset_id)\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n columns = dataset.get(\"columns\", [])\n column_info = []\n for col in columns:\n col_id = col.get(\"id\")\n if col_id is None:\n continue\n column_info.append(\n {\n \"id\": int(col_id),\n \"name\": col.get(\"column_name\"),\n \"type\": col.get(\"type\"),\n \"is_dttm\": as_bool(col.get(\"is_dttm\"), default=False),\n \"is_active\": as_bool(col.get(\"is_active\"), default=True),\n \"description\": col.get(\"description\", \"\"),\n }\n )\n linked_dashboards = []\n try:\n related_objects = self.network.request(\n method=\"GET\", endpoint=f\"/dataset/{dataset_id}/related_objects\"\n )\n if isinstance(related_objects, dict):\n if \"dashboards\" in related_objects:\n dashboards_data = related_objects[\"dashboards\"]\n elif \"result\" in related_objects and isinstance(\n related_objects[\"result\"], dict\n ):\n dashboards_data = related_objects[\"result\"].get(\"dashboards\", [])\n else:\n dashboards_data = []\n for dash in dashboards_data:\n if isinstance(dash, dict):\n dash_id = dash.get(\"id\")\n if dash_id is None:\n continue\n linked_dashboards.append(\n {\n \"id\": int(dash_id),\n \"title\": dash.get(\"dashboard_title\")\n or dash.get(\"title\", f\"Dashboard {dash_id}\"),\n \"slug\": dash.get(\"slug\"),\n }\n )\n else:\n try:\n dash_id = int(dash)\n except (TypeError, ValueError):\n continue\n linked_dashboards.append(\n {\"id\": dash_id, \"title\": f\"Dashboard {dash_id}\", \"slug\": None}\n )\n except Exception as e:\n app_logger.warning(\n f\"[get_dataset_detail][Warning] Failed to fetch related dashboards: {e}\"\n )\n linked_dashboards = []\n database_obj = dataset.get(\"database\")\n database_dict = database_obj if isinstance(database_obj, dict) else {}\n sql = dataset.get(\"sql\", \"\")\n result = {\n \"id\": dataset.get(\"id\"),\n \"table_name\": dataset.get(\"table_name\"),\n \"schema\": dataset.get(\"schema\"),\n \"database\": database_dict,\n \"database_id\": dataset.get(\"database_id\", database_dict.get(\"id\")),\n \"database_backend\": database_dict.get(\"backend\") or database_dict.get(\"engine\") or \"\",\n \"description\": dataset.get(\"description\", \"\"),\n \"columns\": column_info,\n \"column_count\": len(column_info),\n \"sql\": sql,\n \"linked_dashboards\": linked_dashboards,\n \"linked_dashboard_count\": len(linked_dashboards),\n \"is_sqllab_view\": as_bool(dataset.get(\"is_sqllab_view\"), default=False),\n \"created_on\": dataset.get(\"created_on\"),\n \"changed_on\": dataset.get(\"changed_on\"),\n }\n app_logger.reflect(\n f\"Got dataset {dataset_id} with {len(column_info)} columns and {len(linked_dashboards)} linked dashboards\",\n extra={\"src\": \"get_dataset_detail\"},\n )\n return result\n # #endregion SupersetClientGetDatasetDetail\n # #region SupersetClientGetDataset [TYPE Function] [C:3]\n # @PURPOSE: Получает информацию о конкретном датасете по его ID.\n # @RELATION: CALLS -> [APIClient]\n def get_dataset(self, dataset_id: int) -> dict:\n with belief_scope(\"SupersetClient.get_dataset\", f\"id={dataset_id}\"):\n app_logger.info(\"[get_dataset][Enter] Fetching dataset %s.\", dataset_id)\n response = self.network.request(\n method=\"GET\", endpoint=f\"/dataset/{dataset_id}\"\n )\n response = cast(dict, response)\n app_logger.reflect(f\"Got dataset {dataset_id}.\", extra={\"src\": \"get_dataset\"})\n return response\n # #endregion SupersetClientGetDataset\n # #region SupersetClientUpdateDataset [TYPE Function] [C:3]\n # @PURPOSE: Обновляет данные датасета по его ID.\n # @SIDE_EFFECT: Modifies resource in upstream Superset environment.\n # @RELATION: CALLS -> [APIClient]\n def update_dataset(self, dataset_id: int, data: dict) -> dict:\n with belief_scope(\"SupersetClient.update_dataset\", f\"id={dataset_id}\"):\n app_logger.info(\"[update_dataset][Enter] Updating dataset %s.\", dataset_id)\n response = self.network.request(\n method=\"PUT\",\n endpoint=f\"/dataset/{dataset_id}\",\n data=json.dumps(data),\n headers={\"Content-Type\": \"application/json\"},\n )\n response = cast(dict, response)\n app_logger.reflect(f\"Updated dataset {dataset_id}.\", extra={\"src\": \"update_dataset\"})\n return response\n # #endregion SupersetClientUpdateDataset\n# #endregion SupersetDatasetsMixin\n# #endregion SupersetDatasetsMixin\n" + "body": "# #region SupersetDatasetsMixin [C:3] [TYPE Module] [SEMANTICS dataset, superset, search, superset-datasets-mixin]\n# @LAYER: Infra\n# @BRIEF Dataset domain mixin for SupersetClient — list, get, detail, update.\n# @RELATION DEPENDS_ON -> [SupersetClientBase]\nimport json\nfrom typing import Any, cast\n\nfrom ..logger import belief_scope, logger as app_logger\n\napp_logger = cast(Any, app_logger)\n# #region SupersetDatasetsMixin [C:3] [TYPE Class]\n# @BRIEF Mixin providing basic dataset CRUD operations (list, get, detail, update).\n# @RELATION DEPENDS_ON -> [SupersetClientBase]\nclass SupersetDatasetsMixin:\n # #region SupersetClientGetDatasets [TYPE Function] [C:3]\n # @PURPOSE: Получает полный список датасетов, автоматически обрабатывая пагинацию.\n # @RELATION: CALLS -> [SupersetClientFetchAllPages]\n def get_datasets(self, query: dict | None = None) -> tuple[int, list[dict]]:\n with belief_scope(\"get_datasets\"):\n app_logger.info(\"[get_datasets][Enter] Fetching datasets.\")\n validated_query = self._validate_query_params(query)\n paginated_data = self._fetch_all_pages(\n endpoint=\"/dataset/\",\n pagination_options={\n \"base_query\": validated_query,\n \"results_field\": \"result\",\n },\n )\n total_count = len(paginated_data)\n app_logger.reflect(f\"Found {total_count} datasets.\", extra={\"src\": \"get_datasets\"})\n return total_count, paginated_data\n # #endregion SupersetClientGetDatasets\n # #region SupersetClientGetDatasetsSummary [TYPE Function] [C:3]\n # @PURPOSE: Fetches dataset metadata optimized for the Dataset Hub grid.\n # @RELATION: CALLS -> [SupersetClientGetDatasets]\n def get_datasets_summary(self) -> list[dict]:\n with belief_scope(\"SupersetClient.get_datasets_summary\"):\n query = {\"columns\": [\"id\", \"table_name\", \"schema\", \"database\"]}\n _, datasets = self.get_datasets(query=query)\n result = []\n for ds in datasets:\n result.append(\n {\n \"id\": ds.get(\"id\"),\n \"table_name\": ds.get(\"table_name\"),\n \"schema\": ds.get(\"schema\"),\n \"database\": ds.get(\"database\", {}).get(\n \"database_name\", \"Unknown\"\n ),\n }\n )\n return result\n # #endregion SupersetClientGetDatasetsSummary\n # #region SupersetClientGetDatasetDetail [TYPE Function] [C:3]\n # @PURPOSE: Fetches detailed dataset information including columns and linked dashboards.\n # @RELATION: CALLS -> [SupersetClientGetDataset]\n # @RELATION: CALLS -> [APIClient]\n def get_dataset_detail(self, dataset_id: int) -> dict:\n with belief_scope(\"SupersetClient.get_dataset_detail\", f\"id={dataset_id}\"):\n def as_bool(value, default=False):\n if value is None:\n return default\n if isinstance(value, bool):\n return value\n if isinstance(value, str):\n return value.strip().lower() in (\"1\", \"true\", \"yes\", \"y\", \"on\")\n return bool(value)\n response = self.get_dataset(dataset_id)\n if isinstance(response, dict) and \"result\" in response:\n dataset = response[\"result\"]\n else:\n dataset = response\n columns = dataset.get(\"columns\", [])\n column_info = []\n for col in columns:\n col_id = col.get(\"id\")\n if col_id is None:\n continue\n column_info.append(\n {\n \"id\": int(col_id),\n \"name\": col.get(\"column_name\"),\n \"type\": col.get(\"type\"),\n \"is_dttm\": as_bool(col.get(\"is_dttm\"), default=False),\n \"is_active\": as_bool(col.get(\"is_active\"), default=True),\n \"description\": col.get(\"description\", \"\"),\n }\n )\n metrics = dataset.get(\"metrics\", [])\n metric_info = []\n for metric in metrics:\n metric_id = metric.get(\"id\")\n if metric_id is None:\n continue\n metric_info.append(\n {\n \"id\": int(metric_id),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\", \"\"),\n \"metric_type\": metric.get(\"metric_type\"),\n }\n )\n linked_dashboards = []\n try:\n related_objects = self.network.request(\n method=\"GET\", endpoint=f\"/dataset/{dataset_id}/related_objects\"\n )\n if isinstance(related_objects, dict):\n if \"dashboards\" in related_objects:\n dashboards_data = related_objects[\"dashboards\"]\n elif \"result\" in related_objects and isinstance(\n related_objects[\"result\"], dict\n ):\n dashboards_data = related_objects[\"result\"].get(\"dashboards\", [])\n else:\n dashboards_data = []\n for dash in dashboards_data:\n if isinstance(dash, dict):\n dash_id = dash.get(\"id\")\n if dash_id is None:\n continue\n linked_dashboards.append(\n {\n \"id\": int(dash_id),\n \"title\": dash.get(\"dashboard_title\")\n or dash.get(\"title\", f\"Dashboard {dash_id}\"),\n \"slug\": dash.get(\"slug\"),\n }\n )\n else:\n try:\n dash_id = int(dash)\n except (TypeError, ValueError):\n continue\n linked_dashboards.append(\n {\"id\": dash_id, \"title\": f\"Dashboard {dash_id}\", \"slug\": None}\n )\n except Exception as e:\n app_logger.warning(\n f\"[get_dataset_detail][Warning] Failed to fetch related dashboards: {e}\"\n )\n linked_dashboards = []\n database_obj = dataset.get(\"database\")\n database_dict = database_obj if isinstance(database_obj, dict) else {}\n sql = dataset.get(\"sql\", \"\")\n result = {\n \"id\": dataset.get(\"id\"),\n \"table_name\": dataset.get(\"table_name\"),\n \"schema\": dataset.get(\"schema\"),\n \"database\": database_dict,\n \"database_id\": dataset.get(\"database_id\", database_dict.get(\"id\")),\n \"database_backend\": database_dict.get(\"backend\") or database_dict.get(\"engine\") or \"\",\n \"description\": dataset.get(\"description\", \"\"),\n \"columns\": column_info,\n \"column_count\": len(column_info),\n \"metrics\": metric_info,\n \"metric_count\": len(metric_info),\n \"sql\": sql,\n \"linked_dashboards\": linked_dashboards,\n \"linked_dashboard_count\": len(linked_dashboards),\n \"is_sqllab_view\": as_bool(dataset.get(\"is_sqllab_view\"), default=False),\n \"created_on\": dataset.get(\"created_on\"),\n \"changed_on\": dataset.get(\"changed_on\"),\n }\n app_logger.reflect(\n f\"Got dataset {dataset_id} with {len(column_info)} columns, {len(metric_info)} metrics, and {len(linked_dashboards)} linked dashboards\",\n extra={\"src\": \"get_dataset_detail\"},\n )\n return result\n # #endregion SupersetClientGetDatasetDetail\n # #region SupersetClientGetDataset [TYPE Function] [C:3]\n # @PURPOSE: Получает информацию о конкретном датасете по его ID.\n # @RELATION: CALLS -> [APIClient]\n def get_dataset(self, dataset_id: int) -> dict:\n with belief_scope(\"SupersetClient.get_dataset\", f\"id={dataset_id}\"):\n app_logger.info(\"[get_dataset][Enter] Fetching dataset %s.\", dataset_id)\n response = self.network.request(\n method=\"GET\", endpoint=f\"/dataset/{dataset_id}\"\n )\n response = cast(dict, response)\n app_logger.reflect(f\"Got dataset {dataset_id}.\", extra={\"src\": \"get_dataset\"})\n return response\n # #endregion SupersetClientGetDataset\n # #region SupersetClientUpdateDataset [TYPE Function] [C:3]\n # @PURPOSE: Обновляет данные датасета по его ID.\n # @SIDE_EFFECT: Modifies resource in upstream Superset environment.\n # @RELATION: CALLS -> [APIClient]\n def update_dataset(self, dataset_id: int, data: dict, override_columns: bool = False) -> dict:\n with belief_scope(\"SupersetClient.update_dataset\", f\"id={dataset_id}\"):\n app_logger.info(\"[update_dataset][Enter] Updating dataset %s.\", dataset_id)\n endpoint = f\"/dataset/{dataset_id}?override_columns={'true' if override_columns else 'false'}\"\n response = self.network.request(\n method=\"PUT\",\n endpoint=endpoint,\n data=json.dumps(data),\n headers={\"Content-Type\": \"application/json\"},\n )\n response = cast(dict, response)\n app_logger.reflect(f\"Updated dataset {dataset_id}.\", extra={\"src\": \"update_dataset\"})\n return response\n # #endregion SupersetClientUpdateDataset\n# #endregion SupersetDatasetsMixin\n# #endregion SupersetDatasetsMixin\n" }, { "contract_id": "SupersetDatasetsPreviewMixin", @@ -26421,7 +27730,7 @@ "contract_type": "Module", "file_path": "backend/src/core/task_manager/lifecycle.py", "start_line": 1, - "end_line": 313, + "end_line": 352, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -26432,14 +27741,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region JobLifecycleModule [C:5] [TYPE Module] [SEMANTICS task,lifecycle,state,machine,execution]\n# @BRIEF Task creation, execution, pause/resume, and completion transitions for plugin-backed\n# jobs — extracted from the monolithic TaskManager.\n# @LAYER Core\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RATIONALE Extracted from TaskManager to satisfy INV_7. JobLifecycle encodes the task state\n# machine with plugin execution, context injection, backward-compatible plugin\n# dispatch, and input/mapping pause/resume transitions.\n# @REJECTED Keeping lifecycle/execution logic inside TaskManager was rejected — it mixes\n# async execution orchestration with passive registry and log buffering concerns,\n# violating single-responsibility and INV_7.\n# @PRE Requested plugin ids resolve to executable plugins; task state transitions target known\n# TaskStatus values.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @SIDE_EFFECT Schedules async execution, pauses on input/mapping requests, mutates persisted\n# task lifecycle markers.\n# @INVARIANT A task cannot be resumed from a waiting state unless a matching future exists or\n# a new wait future is created.\n\nimport asyncio\nfrom concurrent.futures import ThreadPoolExecutor\nfrom datetime import UTC, datetime\nimport inspect\nfrom typing import Any\n\nfrom ..cot_logger import seed_trace_id\nfrom ..logger import belief_scope, logger\nfrom .context import TaskContext\nfrom .graph import TaskGraph\nfrom .models import Task, TaskStatus\n\n\n# #region JobLifecycle [C:5] [TYPE Class] [SEMANTICS task,lifecycle,execution,state,machine]\n# @BRIEF Encodes task creation, execution, pause/resume, and completion transitions for\n# plugin-backed jobs.\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @PRE plugin_loader resolves plugin ids; graph and event_bus are initialized.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @RATIONALE Extracted as standalone lifecycle state machine to isolate async execution\n# orchestration (plugin dispatch, context injection, pause/resume futures) from\n# passive registry and log buffering concerns.\n# @REJECTED Keeping execution logic inside TaskManager was rejected — it mixed async task\n# orchestration with synchronous registry operations and background threading,\n# violating single-responsibility and making the 708-line module unmaintainable.\nclass JobLifecycle:\n \"\"\"Task state machine: creation, execution, pause/resume, completion.\"\"\"\n\n # #region __init__ [TYPE Function]\n # @BRIEF Initialize with dependencies.\n def __init__(\n self,\n plugin_loader: Any,\n graph: TaskGraph,\n event_bus: Any,\n persistence_service: Any,\n executor: ThreadPoolExecutor,\n loop: asyncio.AbstractEventLoop,\n ):\n self.plugin_loader = plugin_loader\n self.graph = graph\n self.event_bus = event_bus\n self.persistence_service = persistence_service\n self.executor = executor\n self.loop = loop\n # #endregion __init__\n\n # #region create_task [C:4] [TYPE Function] [SEMANTICS task,create,persist,schedule]\n # @BRIEF Creates and queues a new task for execution.\n # @PRE Plugin with plugin_id exists. Params are valid dict.\n # @POST Task is created, added to registry, and scheduled for execution.\n # @RAISES ValueError if plugin not found or params invalid.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None,\n add_log_callback=None,\n ) -> Task:\n with belief_scope(\"JobLifecycle.create_task\", f\"plugin_id={plugin_id}\"):\n if not self.plugin_loader.has_plugin(plugin_id):\n logger.error(f\"Plugin with ID '{plugin_id}' not found.\")\n raise ValueError(f\"Plugin with ID '{plugin_id}' not found.\")\n self.plugin_loader.get_plugin(plugin_id)\n if not isinstance(params, dict):\n logger.error(\"Task parameters must be a dictionary.\")\n raise ValueError(\"Task parameters must be a dictionary.\")\n logger.reason(\"Creating task node and scheduling execution\")\n task = Task(plugin_id=plugin_id, params=params, user_id=user_id)\n self.graph.add_task(task)\n self.persistence_service.persist_task(task)\n logger.info(f\"Task {task.id} created and scheduled for execution\")\n self.loop.create_task(\n self._run_task(task.id, add_log_callback=add_log_callback)\n )\n logger.reflect(\n \"Task creation persisted and execution scheduled\",\n extra={\"task_id\": task.id, \"plugin_id\": plugin_id},\n )\n return task\n # #endregion create_task\n\n # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # #endregion _run_task\n\n # #region resolve_task [C:3] [TYPE Function] [SEMANTICS task,resolve,mapping,resume]\n # @BRIEF Resumes a task that is awaiting mapping.\n # @PRE Task exists and is in AWAITING_MAPPING state.\n # @POST Task status updated to RUNNING, params updated, execution resumed.\n # @RAISES ValueError if task not found or not awaiting mapping.\n async def resolve_task(\n self, task_id: str, resolution_params: dict[str, Any],\n ) -> None:\n with belief_scope(\"JobLifecycle.resolve_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task or task.status != TaskStatus.AWAITING_MAPPING:\n raise ValueError(\"Task is not awaiting mapping.\")\n task.params.update(resolution_params)\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n self.graph.resolve_future(task_id, True)\n # #endregion resolve_task\n\n # #region wait_for_resolution [C:3] [TYPE Function] [SEMANTICS task,wait,mapping,future]\n # @BRIEF Pauses execution and waits for a resolution signal.\n # @PRE Task exists.\n # @POST Execution pauses until future is set.\n async def wait_for_resolution(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_resolution\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n task.status = TaskStatus.AWAITING_MAPPING\n self.persistence_service.persist_task(task)\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [C:3] [TYPE Function] [SEMANTICS task,wait,input,future]\n # @BRIEF Pauses execution and waits for user input.\n # @PRE Task exists.\n # @POST Execution pauses until future is set via resume_task_with_password.\n async def wait_for_input(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_input\n\n # #region await_input [C:3] [TYPE Function] [SEMANTICS task,input,pause,state]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n # @PRE Task exists and is in RUNNING state.\n # @POST Task status changed to AWAITING_INPUT, input_request set, persisted.\n # @RAISES ValueError if task not found or not RUNNING.\n def await_input(\n self, task_id: str, input_request: dict[str, Any],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\"JobLifecycle.await_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.RUNNING:\n raise ValueError(\n f\"Task {task_id} is not RUNNING (current: {task.status})\"\n )\n task.status = TaskStatus.AWAITING_INPUT\n task.input_required = True\n task.input_request = input_request\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task paused for user input\",\n metadata={\"input_request\": input_request},\n )\n # #endregion await_input\n\n # #region resume_task_with_password [C:3] [TYPE Function] [SEMANTICS task,resume,password,input]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n # @PRE Task exists and is in AWAITING_INPUT state.\n # @POST Task status changed to RUNNING, passwords injected, task resumed.\n # @RAISES ValueError if task not found, not awaiting input, or passwords invalid.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\n \"JobLifecycle.resume_task_with_password\", f\"task_id={task_id}\"\n ):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.AWAITING_INPUT:\n raise ValueError(\n f\"Task {task_id} is not AWAITING_INPUT (current: {task.status})\"\n )\n if not isinstance(passwords, dict) or not passwords:\n raise ValueError(\"Passwords must be a non-empty dictionary\")\n task.params[\"passwords\"] = passwords\n task.input_required = False\n task.input_request = None\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task resumed with passwords\",\n metadata={\"databases\": list(passwords.keys())},\n )\n self.graph.resolve_future(task_id, True)\n # #endregion resume_task_with_password\n# #endregion JobLifecycle\n# #endregion JobLifecycleModule\n" + "body": "# #region JobLifecycleModule [C:5] [TYPE Module] [SEMANTICS task,lifecycle,state,machine,execution]\n# @BRIEF Task creation, execution, pause/resume, and completion transitions for plugin-backed\n# jobs — extracted from the monolithic TaskManager.\n# @LAYER Core\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RATIONALE Extracted from TaskManager to satisfy INV_7. JobLifecycle encodes the task state\n# machine with plugin execution, context injection, backward-compatible plugin\n# dispatch, and input/mapping pause/resume transitions.\n# @REJECTED Keeping lifecycle/execution logic inside TaskManager was rejected — it mixes\n# async execution orchestration with passive registry and log buffering concerns,\n# violating single-responsibility and INV_7.\n# @PRE Requested plugin ids resolve to executable plugins; task state transitions target known\n# TaskStatus values.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @SIDE_EFFECT Schedules async execution, pauses on input/mapping requests, mutates persisted\n# task lifecycle markers.\n# @INVARIANT A task cannot be resumed from a waiting state unless a matching future exists or\n# a new wait future is created.\n\nimport asyncio\nfrom concurrent.futures import ThreadPoolExecutor\nfrom datetime import UTC, datetime\nimport inspect\nfrom typing import Any\n\nfrom ..cot_logger import seed_trace_id\nfrom ..logger import belief_scope, logger\nfrom .context import TaskContext\nfrom .graph import TaskGraph\nfrom .models import Task, TaskStatus\n\n\n# #region JobLifecycle [C:5] [TYPE Class] [SEMANTICS task,lifecycle,execution,state,machine]\n# @BRIEF Encodes task creation, execution, pause/resume, and completion transitions for\n# plugin-backed jobs.\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @PRE plugin_loader resolves plugin ids; graph and event_bus are initialized.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @RATIONALE Extracted as standalone lifecycle state machine to isolate async execution\n# orchestration (plugin dispatch, context injection, pause/resume futures) from\n# passive registry and log buffering concerns.\n# @REJECTED Keeping execution logic inside TaskManager was rejected — it mixed async task\n# orchestration with synchronous registry operations and background threading,\n# violating single-responsibility and making the 708-line module unmaintainable.\nclass JobLifecycle:\n \"\"\"Task state machine: creation, execution, pause/resume, completion.\"\"\"\n\n # #region __init__ [TYPE Function]\n # @BRIEF Initialize with dependencies.\n def __init__(\n self,\n plugin_loader: Any,\n graph: TaskGraph,\n event_bus: Any,\n persistence_service: Any,\n executor: ThreadPoolExecutor,\n loop: asyncio.AbstractEventLoop,\n ):\n self.plugin_loader = plugin_loader\n self.graph = graph\n self.event_bus = event_bus\n self.persistence_service = persistence_service\n self.executor = executor\n self.loop = loop\n self._dataset_subscribers: dict[str, list[asyncio.Queue]] = {}\n # #endregion __init__\n\n # #region create_task [C:4] [TYPE Function] [SEMANTICS task,create,persist,schedule]\n # @BRIEF Creates and queues a new task for execution.\n # @PRE Plugin with plugin_id exists. Params are valid dict.\n # @POST Task is created, added to registry, and scheduled for execution.\n # @RAISES ValueError if plugin not found or params invalid.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None,\n add_log_callback=None,\n ) -> Task:\n with belief_scope(\"JobLifecycle.create_task\", f\"plugin_id={plugin_id}\"):\n if not self.plugin_loader.has_plugin(plugin_id):\n logger.error(f\"Plugin with ID '{plugin_id}' not found.\")\n raise ValueError(f\"Plugin with ID '{plugin_id}' not found.\")\n self.plugin_loader.get_plugin(plugin_id)\n if not isinstance(params, dict):\n logger.error(\"Task parameters must be a dictionary.\")\n raise ValueError(\"Task parameters must be a dictionary.\")\n logger.reason(\"Creating task node and scheduling execution\")\n task = Task(plugin_id=plugin_id, params=params, user_id=user_id)\n self.graph.add_task(task)\n self.persistence_service.persist_task(task)\n logger.info(f\"Task {task.id} created and scheduled for execution\")\n self.loop.create_task(\n self._run_task(task.id, add_log_callback=add_log_callback)\n )\n logger.reflect(\n \"Task creation persisted and execution scheduled\",\n extra={\"task_id\": task.id, \"plugin_id\": plugin_id},\n )\n return task\n # #endregion create_task\n\n # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # Broadcast dataset.updated for mapping and documentation tasks (FR-024, R4)\n if task.plugin_id in (\"dataset-mapper\", \"llm_documentation\"):\n dataset_ids = task.params.get(\"dataset_ids\") or [task.params.get(\"dataset_id\")]\n env_id = task.params.get(\"env\") or task.params.get(\"environment_id\", \"\")\n if dataset_ids and env_id:\n self._broadcast_dataset_updated(env_id, dataset_ids)\n # #endregion _run_task\n\n # #region resolve_task [C:3] [TYPE Function] [SEMANTICS task,resolve,mapping,resume]\n # @BRIEF Resumes a task that is awaiting mapping.\n # @PRE Task exists and is in AWAITING_MAPPING state.\n # @POST Task status updated to RUNNING, params updated, execution resumed.\n # @RAISES ValueError if task not found or not awaiting mapping.\n async def resolve_task(\n self, task_id: str, resolution_params: dict[str, Any],\n ) -> None:\n with belief_scope(\"JobLifecycle.resolve_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task or task.status != TaskStatus.AWAITING_MAPPING:\n raise ValueError(\"Task is not awaiting mapping.\")\n task.params.update(resolution_params)\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n self.graph.resolve_future(task_id, True)\n # #endregion resolve_task\n\n # #region wait_for_resolution [C:3] [TYPE Function] [SEMANTICS task,wait,mapping,future]\n # @BRIEF Pauses execution and waits for a resolution signal.\n # @PRE Task exists.\n # @POST Execution pauses until future is set.\n async def wait_for_resolution(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_resolution\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n task.status = TaskStatus.AWAITING_MAPPING\n self.persistence_service.persist_task(task)\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [C:3] [TYPE Function] [SEMANTICS task,wait,input,future]\n # @BRIEF Pauses execution and waits for user input.\n # @PRE Task exists.\n # @POST Execution pauses until future is set via resume_task_with_password.\n async def wait_for_input(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_input\n\n # #region await_input [C:3] [TYPE Function] [SEMANTICS task,input,pause,state]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n # @PRE Task exists and is in RUNNING state.\n # @POST Task status changed to AWAITING_INPUT, input_request set, persisted.\n # @RAISES ValueError if task not found or not RUNNING.\n def await_input(\n self, task_id: str, input_request: dict[str, Any],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\"JobLifecycle.await_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.RUNNING:\n raise ValueError(\n f\"Task {task_id} is not RUNNING (current: {task.status})\"\n )\n task.status = TaskStatus.AWAITING_INPUT\n task.input_required = True\n task.input_request = input_request\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task paused for user input\",\n metadata={\"input_request\": input_request},\n )\n # #endregion await_input\n\n # #region resume_task_with_password [C:3] [TYPE Function] [SEMANTICS task,resume,password,input]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n # @PRE Task exists and is in AWAITING_INPUT state.\n # @POST Task status changed to RUNNING, passwords injected, task resumed.\n # @RAISES ValueError if task not found, not awaiting input, or passwords invalid.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\n \"JobLifecycle.resume_task_with_password\", f\"task_id={task_id}\"\n ):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.AWAITING_INPUT:\n raise ValueError(\n f\"Task {task_id} is not AWAITING_INPUT (current: {task.status})\"\n )\n if not isinstance(passwords, dict) or not passwords:\n raise ValueError(\"Passwords must be a non-empty dictionary\")\n task.params[\"passwords\"] = passwords\n task.input_required = False\n task.input_request = None\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task resumed with passwords\",\n metadata={\"databases\": list(passwords.keys())},\n )\n self.graph.resolve_future(task_id, True)\n # #endregion resume_task_with_password\n\n # #region subscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,subscribe,events,websocket]\n # @BRIEF Subscribe to dataset.updated events for a specific environment.\n async def subscribe_dataset_events(self, env_id: str) -> asyncio.Queue:\n queue = asyncio.Queue()\n if env_id not in self._dataset_subscribers:\n self._dataset_subscribers[env_id] = []\n self._dataset_subscribers[env_id].append(queue)\n return queue\n # #endregion subscribe_dataset_events\n\n # #region unsubscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,unsubscribe,events]\n # @BRIEF Unsubscribe from dataset.updated events for a specific environment.\n def unsubscribe_dataset_events(self, env_id: str, queue: asyncio.Queue):\n if env_id in self._dataset_subscribers:\n if queue in self._dataset_subscribers[env_id]:\n self._dataset_subscribers[env_id].remove(queue)\n if not self._dataset_subscribers[env_id]:\n del self._dataset_subscribers[env_id]\n # #endregion unsubscribe_dataset_events\n\n # #region _broadcast_dataset_updated [C:3] [TYPE Function] [SEMANTICS dataset,broadcast,event,websocket]\n # @BRIEF Broadcast dataset.updated event to all subscribers for a given environment.\n def _broadcast_dataset_updated(self, env_id: str, dataset_ids: list[int]):\n event = {\"type\": \"dataset.updated\", \"payload\": {\"env_id\": env_id, \"dataset_ids\": dataset_ids}}\n if env_id in self._dataset_subscribers:\n for queue in self._dataset_subscribers[env_id]:\n try:\n self.loop.call_soon_threadsafe(queue.put_nowait, event)\n except Exception:\n pass\n # #endregion _broadcast_dataset_updated\n# #endregion JobLifecycle\n# #endregion JobLifecycleModule\n" }, { "contract_id": "JobLifecycle", "contract_type": "Class", "file_path": "backend/src/core/task_manager/lifecycle.py", "start_line": 38, - "end_line": 312, + "end_line": 351, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -26450,14 +27759,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region JobLifecycle [C:5] [TYPE Class] [SEMANTICS task,lifecycle,execution,state,machine]\n# @BRIEF Encodes task creation, execution, pause/resume, and completion transitions for\n# plugin-backed jobs.\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @PRE plugin_loader resolves plugin ids; graph and event_bus are initialized.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @RATIONALE Extracted as standalone lifecycle state machine to isolate async execution\n# orchestration (plugin dispatch, context injection, pause/resume futures) from\n# passive registry and log buffering concerns.\n# @REJECTED Keeping execution logic inside TaskManager was rejected — it mixed async task\n# orchestration with synchronous registry operations and background threading,\n# violating single-responsibility and making the 708-line module unmaintainable.\nclass JobLifecycle:\n \"\"\"Task state machine: creation, execution, pause/resume, completion.\"\"\"\n\n # #region __init__ [TYPE Function]\n # @BRIEF Initialize with dependencies.\n def __init__(\n self,\n plugin_loader: Any,\n graph: TaskGraph,\n event_bus: Any,\n persistence_service: Any,\n executor: ThreadPoolExecutor,\n loop: asyncio.AbstractEventLoop,\n ):\n self.plugin_loader = plugin_loader\n self.graph = graph\n self.event_bus = event_bus\n self.persistence_service = persistence_service\n self.executor = executor\n self.loop = loop\n # #endregion __init__\n\n # #region create_task [C:4] [TYPE Function] [SEMANTICS task,create,persist,schedule]\n # @BRIEF Creates and queues a new task for execution.\n # @PRE Plugin with plugin_id exists. Params are valid dict.\n # @POST Task is created, added to registry, and scheduled for execution.\n # @RAISES ValueError if plugin not found or params invalid.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None,\n add_log_callback=None,\n ) -> Task:\n with belief_scope(\"JobLifecycle.create_task\", f\"plugin_id={plugin_id}\"):\n if not self.plugin_loader.has_plugin(plugin_id):\n logger.error(f\"Plugin with ID '{plugin_id}' not found.\")\n raise ValueError(f\"Plugin with ID '{plugin_id}' not found.\")\n self.plugin_loader.get_plugin(plugin_id)\n if not isinstance(params, dict):\n logger.error(\"Task parameters must be a dictionary.\")\n raise ValueError(\"Task parameters must be a dictionary.\")\n logger.reason(\"Creating task node and scheduling execution\")\n task = Task(plugin_id=plugin_id, params=params, user_id=user_id)\n self.graph.add_task(task)\n self.persistence_service.persist_task(task)\n logger.info(f\"Task {task.id} created and scheduled for execution\")\n self.loop.create_task(\n self._run_task(task.id, add_log_callback=add_log_callback)\n )\n logger.reflect(\n \"Task creation persisted and execution scheduled\",\n extra={\"task_id\": task.id, \"plugin_id\": plugin_id},\n )\n return task\n # #endregion create_task\n\n # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # #endregion _run_task\n\n # #region resolve_task [C:3] [TYPE Function] [SEMANTICS task,resolve,mapping,resume]\n # @BRIEF Resumes a task that is awaiting mapping.\n # @PRE Task exists and is in AWAITING_MAPPING state.\n # @POST Task status updated to RUNNING, params updated, execution resumed.\n # @RAISES ValueError if task not found or not awaiting mapping.\n async def resolve_task(\n self, task_id: str, resolution_params: dict[str, Any],\n ) -> None:\n with belief_scope(\"JobLifecycle.resolve_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task or task.status != TaskStatus.AWAITING_MAPPING:\n raise ValueError(\"Task is not awaiting mapping.\")\n task.params.update(resolution_params)\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n self.graph.resolve_future(task_id, True)\n # #endregion resolve_task\n\n # #region wait_for_resolution [C:3] [TYPE Function] [SEMANTICS task,wait,mapping,future]\n # @BRIEF Pauses execution and waits for a resolution signal.\n # @PRE Task exists.\n # @POST Execution pauses until future is set.\n async def wait_for_resolution(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_resolution\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n task.status = TaskStatus.AWAITING_MAPPING\n self.persistence_service.persist_task(task)\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [C:3] [TYPE Function] [SEMANTICS task,wait,input,future]\n # @BRIEF Pauses execution and waits for user input.\n # @PRE Task exists.\n # @POST Execution pauses until future is set via resume_task_with_password.\n async def wait_for_input(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_input\n\n # #region await_input [C:3] [TYPE Function] [SEMANTICS task,input,pause,state]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n # @PRE Task exists and is in RUNNING state.\n # @POST Task status changed to AWAITING_INPUT, input_request set, persisted.\n # @RAISES ValueError if task not found or not RUNNING.\n def await_input(\n self, task_id: str, input_request: dict[str, Any],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\"JobLifecycle.await_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.RUNNING:\n raise ValueError(\n f\"Task {task_id} is not RUNNING (current: {task.status})\"\n )\n task.status = TaskStatus.AWAITING_INPUT\n task.input_required = True\n task.input_request = input_request\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task paused for user input\",\n metadata={\"input_request\": input_request},\n )\n # #endregion await_input\n\n # #region resume_task_with_password [C:3] [TYPE Function] [SEMANTICS task,resume,password,input]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n # @PRE Task exists and is in AWAITING_INPUT state.\n # @POST Task status changed to RUNNING, passwords injected, task resumed.\n # @RAISES ValueError if task not found, not awaiting input, or passwords invalid.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\n \"JobLifecycle.resume_task_with_password\", f\"task_id={task_id}\"\n ):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.AWAITING_INPUT:\n raise ValueError(\n f\"Task {task_id} is not AWAITING_INPUT (current: {task.status})\"\n )\n if not isinstance(passwords, dict) or not passwords:\n raise ValueError(\"Passwords must be a non-empty dictionary\")\n task.params[\"passwords\"] = passwords\n task.input_required = False\n task.input_request = None\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task resumed with passwords\",\n metadata={\"databases\": list(passwords.keys())},\n )\n self.graph.resolve_future(task_id, True)\n # #endregion resume_task_with_password\n# #endregion JobLifecycle\n" + "body": "# #region JobLifecycle [C:5] [TYPE Class] [SEMANTICS task,lifecycle,execution,state,machine]\n# @BRIEF Encodes task creation, execution, pause/resume, and completion transitions for\n# plugin-backed jobs.\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @PRE plugin_loader resolves plugin ids; graph and event_bus are initialized.\n# @POST Every scheduled task transitions through a valid lifecycle path ending in persisted\n# terminal or waiting state.\n# @RATIONALE Extracted as standalone lifecycle state machine to isolate async execution\n# orchestration (plugin dispatch, context injection, pause/resume futures) from\n# passive registry and log buffering concerns.\n# @REJECTED Keeping execution logic inside TaskManager was rejected — it mixed async task\n# orchestration with synchronous registry operations and background threading,\n# violating single-responsibility and making the 708-line module unmaintainable.\nclass JobLifecycle:\n \"\"\"Task state machine: creation, execution, pause/resume, completion.\"\"\"\n\n # #region __init__ [TYPE Function]\n # @BRIEF Initialize with dependencies.\n def __init__(\n self,\n plugin_loader: Any,\n graph: TaskGraph,\n event_bus: Any,\n persistence_service: Any,\n executor: ThreadPoolExecutor,\n loop: asyncio.AbstractEventLoop,\n ):\n self.plugin_loader = plugin_loader\n self.graph = graph\n self.event_bus = event_bus\n self.persistence_service = persistence_service\n self.executor = executor\n self.loop = loop\n self._dataset_subscribers: dict[str, list[asyncio.Queue]] = {}\n # #endregion __init__\n\n # #region create_task [C:4] [TYPE Function] [SEMANTICS task,create,persist,schedule]\n # @BRIEF Creates and queues a new task for execution.\n # @PRE Plugin with plugin_id exists. Params are valid dict.\n # @POST Task is created, added to registry, and scheduled for execution.\n # @RAISES ValueError if plugin not found or params invalid.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None,\n add_log_callback=None,\n ) -> Task:\n with belief_scope(\"JobLifecycle.create_task\", f\"plugin_id={plugin_id}\"):\n if not self.plugin_loader.has_plugin(plugin_id):\n logger.error(f\"Plugin with ID '{plugin_id}' not found.\")\n raise ValueError(f\"Plugin with ID '{plugin_id}' not found.\")\n self.plugin_loader.get_plugin(plugin_id)\n if not isinstance(params, dict):\n logger.error(\"Task parameters must be a dictionary.\")\n raise ValueError(\"Task parameters must be a dictionary.\")\n logger.reason(\"Creating task node and scheduling execution\")\n task = Task(plugin_id=plugin_id, params=params, user_id=user_id)\n self.graph.add_task(task)\n self.persistence_service.persist_task(task)\n logger.info(f\"Task {task.id} created and scheduled for execution\")\n self.loop.create_task(\n self._run_task(task.id, add_log_callback=add_log_callback)\n )\n logger.reflect(\n \"Task creation persisted and execution scheduled\",\n extra={\"task_id\": task.id, \"plugin_id\": plugin_id},\n )\n return task\n # #endregion create_task\n\n # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # Broadcast dataset.updated for mapping and documentation tasks (FR-024, R4)\n if task.plugin_id in (\"dataset-mapper\", \"llm_documentation\"):\n dataset_ids = task.params.get(\"dataset_ids\") or [task.params.get(\"dataset_id\")]\n env_id = task.params.get(\"env\") or task.params.get(\"environment_id\", \"\")\n if dataset_ids and env_id:\n self._broadcast_dataset_updated(env_id, dataset_ids)\n # #endregion _run_task\n\n # #region resolve_task [C:3] [TYPE Function] [SEMANTICS task,resolve,mapping,resume]\n # @BRIEF Resumes a task that is awaiting mapping.\n # @PRE Task exists and is in AWAITING_MAPPING state.\n # @POST Task status updated to RUNNING, params updated, execution resumed.\n # @RAISES ValueError if task not found or not awaiting mapping.\n async def resolve_task(\n self, task_id: str, resolution_params: dict[str, Any],\n ) -> None:\n with belief_scope(\"JobLifecycle.resolve_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task or task.status != TaskStatus.AWAITING_MAPPING:\n raise ValueError(\"Task is not awaiting mapping.\")\n task.params.update(resolution_params)\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n self.graph.resolve_future(task_id, True)\n # #endregion resolve_task\n\n # #region wait_for_resolution [C:3] [TYPE Function] [SEMANTICS task,wait,mapping,future]\n # @BRIEF Pauses execution and waits for a resolution signal.\n # @PRE Task exists.\n # @POST Execution pauses until future is set.\n async def wait_for_resolution(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_resolution\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n task.status = TaskStatus.AWAITING_MAPPING\n self.persistence_service.persist_task(task)\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [C:3] [TYPE Function] [SEMANTICS task,wait,input,future]\n # @BRIEF Pauses execution and waits for user input.\n # @PRE Task exists.\n # @POST Execution pauses until future is set via resume_task_with_password.\n async def wait_for_input(self, task_id: str) -> None:\n with belief_scope(\"JobLifecycle.wait_for_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n return\n future = self.loop.create_future()\n self.graph.create_future(task_id, future)\n try:\n await future\n finally:\n self.graph.remove_future(task_id)\n # #endregion wait_for_input\n\n # #region await_input [C:3] [TYPE Function] [SEMANTICS task,input,pause,state]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n # @PRE Task exists and is in RUNNING state.\n # @POST Task status changed to AWAITING_INPUT, input_request set, persisted.\n # @RAISES ValueError if task not found or not RUNNING.\n def await_input(\n self, task_id: str, input_request: dict[str, Any],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\"JobLifecycle.await_input\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.RUNNING:\n raise ValueError(\n f\"Task {task_id} is not RUNNING (current: {task.status})\"\n )\n task.status = TaskStatus.AWAITING_INPUT\n task.input_required = True\n task.input_request = input_request\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task paused for user input\",\n metadata={\"input_request\": input_request},\n )\n # #endregion await_input\n\n # #region resume_task_with_password [C:3] [TYPE Function] [SEMANTICS task,resume,password,input]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n # @PRE Task exists and is in AWAITING_INPUT state.\n # @POST Task status changed to RUNNING, passwords injected, task resumed.\n # @RAISES ValueError if task not found, not awaiting input, or passwords invalid.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\n \"JobLifecycle.resume_task_with_password\", f\"task_id={task_id}\"\n ):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.AWAITING_INPUT:\n raise ValueError(\n f\"Task {task_id} is not AWAITING_INPUT (current: {task.status})\"\n )\n if not isinstance(passwords, dict) or not passwords:\n raise ValueError(\"Passwords must be a non-empty dictionary\")\n task.params[\"passwords\"] = passwords\n task.input_required = False\n task.input_request = None\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task resumed with passwords\",\n metadata={\"databases\": list(passwords.keys())},\n )\n self.graph.resolve_future(task_id, True)\n # #endregion resume_task_with_password\n\n # #region subscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,subscribe,events,websocket]\n # @BRIEF Subscribe to dataset.updated events for a specific environment.\n async def subscribe_dataset_events(self, env_id: str) -> asyncio.Queue:\n queue = asyncio.Queue()\n if env_id not in self._dataset_subscribers:\n self._dataset_subscribers[env_id] = []\n self._dataset_subscribers[env_id].append(queue)\n return queue\n # #endregion subscribe_dataset_events\n\n # #region unsubscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,unsubscribe,events]\n # @BRIEF Unsubscribe from dataset.updated events for a specific environment.\n def unsubscribe_dataset_events(self, env_id: str, queue: asyncio.Queue):\n if env_id in self._dataset_subscribers:\n if queue in self._dataset_subscribers[env_id]:\n self._dataset_subscribers[env_id].remove(queue)\n if not self._dataset_subscribers[env_id]:\n del self._dataset_subscribers[env_id]\n # #endregion unsubscribe_dataset_events\n\n # #region _broadcast_dataset_updated [C:3] [TYPE Function] [SEMANTICS dataset,broadcast,event,websocket]\n # @BRIEF Broadcast dataset.updated event to all subscribers for a given environment.\n def _broadcast_dataset_updated(self, env_id: str, dataset_ids: list[int]):\n event = {\"type\": \"dataset.updated\", \"payload\": {\"env_id\": env_id, \"dataset_ids\": dataset_ids}}\n if env_id in self._dataset_subscribers:\n for queue in self._dataset_subscribers[env_id]:\n try:\n self.loop.call_soon_threadsafe(queue.put_nowait, event)\n except Exception:\n pass\n # #endregion _broadcast_dataset_updated\n# #endregion JobLifecycle\n" }, { "contract_id": "create_task", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 76, - "end_line": 106, + "start_line": 77, + "end_line": 107, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -26477,8 +27786,8 @@ "contract_id": "_run_task", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 108, - "end_line": 193, + "start_line": 109, + "end_line": 200, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -26492,14 +27801,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # #endregion _run_task\n" + "body": " # #region _run_task [C:4] [TYPE Function] [SEMANTICS task,execute,context,dispatch]\n # @BRIEF Internal method to execute a task with TaskContext support.\n # @PRE Task exists in registry.\n # @POST Task is executed, status updated to SUCCESS or FAILED.\n # @SIDE_EFFECT Executes plugin code, updates task status and persistence, emits logs.\n async def _run_task(self, task_id: str, add_log_callback=None):\n seed_trace_id()\n with belief_scope(\"JobLifecycle._run_task\", f\"task_id={task_id}\"):\n task = self.graph.get_task(task_id)\n if task is None:\n logger.error(f\"Task {task_id} not found in registry\")\n return\n plugin = self.plugin_loader.get_plugin(task.plugin_id)\n logger.reason(\n \"Transitioning task to running state\",\n extra={\"task_id\": task_id, \"plugin_id\": task.plugin_id},\n )\n logger.info(\n f\"Starting execution of task {task_id} for plugin '{plugin.name}'\"\n )\n task.status = TaskStatus.RUNNING\n task.started_at = datetime.utcnow()\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task started for plugin '{plugin.name}'\",\n source=\"system\",\n )\n try:\n params = {**task.params, \"_task_id\": task_id}\n sig = inspect.signature(plugin.execute)\n accepts_context = \"context\" in sig.parameters\n if accepts_context:\n # Create TaskContext for new-style plugins\n context = TaskContext(\n task_id=task_id,\n add_log_fn=add_log_callback,\n params=params,\n default_source=\"plugin\",\n background_tasks=None,\n )\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params, context=context)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor,\n lambda: plugin.execute(params, context=context),\n )\n else:\n if asyncio.iscoroutinefunction(plugin.execute):\n task.result = await plugin.execute(params)\n else:\n task.result = await self.loop.run_in_executor(\n self.executor, plugin.execute, params\n )\n logger.info(f\"Task {task_id} completed successfully\")\n task.status = TaskStatus.SUCCESS\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n f\"Task completed successfully for plugin '{plugin.name}'\",\n source=\"system\",\n )\n except Exception as e:\n logger.error(f\"Task {task_id} failed: {e}\")\n task.status = TaskStatus.FAILED\n if add_log_callback:\n add_log_callback(\n task_id, \"ERROR\",\n f\"Task failed: {e}\",\n source=\"system\",\n metadata={\"error_type\": type(e).__name__},\n )\n finally:\n task.finished_at = datetime.utcnow()\n self.event_bus.flush_task_logs(task_id)\n self.persistence_service.persist_task(task)\n logger.info(\n f\"Task {task_id} execution finished with status: {task.status}\"\n )\n logger.reflect(\n \"Task lifecycle reached persisted terminal state\",\n extra={\"task_id\": task_id, \"status\": str(task.status)},\n )\n # Broadcast dataset.updated for mapping and documentation tasks (FR-024, R4)\n if task.plugin_id in (\"dataset-mapper\", \"llm_documentation\"):\n dataset_ids = task.params.get(\"dataset_ids\") or [task.params.get(\"dataset_id\")]\n env_id = task.params.get(\"env\") or task.params.get(\"environment_id\", \"\")\n if dataset_ids and env_id:\n self._broadcast_dataset_updated(env_id, dataset_ids)\n # #endregion _run_task\n" }, { "contract_id": "resolve_task", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 195, - "end_line": 211, + "start_line": 202, + "end_line": 218, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -26519,8 +27828,8 @@ "contract_id": "wait_for_resolution", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 213, - "end_line": 230, + "start_line": 220, + "end_line": 237, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -26539,8 +27848,8 @@ "contract_id": "wait_for_input", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 232, - "end_line": 247, + "start_line": 239, + "end_line": 254, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -26559,8 +27868,8 @@ "contract_id": "await_input", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 249, - "end_line": 276, + "start_line": 256, + "end_line": 283, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -26580,8 +27889,8 @@ "contract_id": "resume_task_with_password", "contract_type": "Function", "file_path": "backend/src/core/task_manager/lifecycle.py", - "start_line": 278, - "end_line": 311, + "start_line": 285, + "end_line": 318, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -26597,12 +27906,66 @@ "tier_source": "AutoCalculated", "body": " # #region resume_task_with_password [C:3] [TYPE Function] [SEMANTICS task,resume,password,input]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n # @PRE Task exists and is in AWAITING_INPUT state.\n # @POST Task status changed to RUNNING, passwords injected, task resumed.\n # @RAISES ValueError if task not found, not awaiting input, or passwords invalid.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str],\n add_log_callback=None,\n ) -> None:\n with belief_scope(\n \"JobLifecycle.resume_task_with_password\", f\"task_id={task_id}\"\n ):\n task = self.graph.get_task(task_id)\n if not task:\n raise ValueError(f\"Task {task_id} not found\")\n if task.status != TaskStatus.AWAITING_INPUT:\n raise ValueError(\n f\"Task {task_id} is not AWAITING_INPUT (current: {task.status})\"\n )\n if not isinstance(passwords, dict) or not passwords:\n raise ValueError(\"Passwords must be a non-empty dictionary\")\n task.params[\"passwords\"] = passwords\n task.input_required = False\n task.input_request = None\n task.status = TaskStatus.RUNNING\n self.persistence_service.persist_task(task)\n if add_log_callback:\n add_log_callback(\n task_id, \"INFO\",\n \"Task resumed with passwords\",\n metadata={\"databases\": list(passwords.keys())},\n )\n self.graph.resolve_future(task_id, True)\n # #endregion resume_task_with_password\n" }, + { + "contract_id": "subscribe_dataset_events", + "contract_type": "Function", + "file_path": "backend/src/core/task_manager/lifecycle.py", + "start_line": 320, + "end_line": 328, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Subscribe to dataset.updated events for a specific environment." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region subscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,subscribe,events,websocket]\n # @BRIEF Subscribe to dataset.updated events for a specific environment.\n async def subscribe_dataset_events(self, env_id: str) -> asyncio.Queue:\n queue = asyncio.Queue()\n if env_id not in self._dataset_subscribers:\n self._dataset_subscribers[env_id] = []\n self._dataset_subscribers[env_id].append(queue)\n return queue\n # #endregion subscribe_dataset_events\n" + }, + { + "contract_id": "unsubscribe_dataset_events", + "contract_type": "Function", + "file_path": "backend/src/core/task_manager/lifecycle.py", + "start_line": 330, + "end_line": 338, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "Unsubscribe from dataset.updated events for a specific environment." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region unsubscribe_dataset_events [C:2] [TYPE Function] [SEMANTICS dataset,unsubscribe,events]\n # @BRIEF Unsubscribe from dataset.updated events for a specific environment.\n def unsubscribe_dataset_events(self, env_id: str, queue: asyncio.Queue):\n if env_id in self._dataset_subscribers:\n if queue in self._dataset_subscribers[env_id]:\n self._dataset_subscribers[env_id].remove(queue)\n if not self._dataset_subscribers[env_id]:\n del self._dataset_subscribers[env_id]\n # #endregion unsubscribe_dataset_events\n" + }, + { + "contract_id": "_broadcast_dataset_updated", + "contract_type": "Function", + "file_path": "backend/src/core/task_manager/lifecycle.py", + "start_line": 340, + "end_line": 350, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "PURPOSE": "Broadcast dataset.updated event to all subscribers for a given environment." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region _broadcast_dataset_updated [C:3] [TYPE Function] [SEMANTICS dataset,broadcast,event,websocket]\n # @BRIEF Broadcast dataset.updated event to all subscribers for a given environment.\n def _broadcast_dataset_updated(self, env_id: str, dataset_ids: list[int]):\n event = {\"type\": \"dataset.updated\", \"payload\": {\"env_id\": env_id, \"dataset_ids\": dataset_ids}}\n if env_id in self._dataset_subscribers:\n for queue in self._dataset_subscribers[env_id]:\n try:\n self.loop.call_soon_threadsafe(queue.put_nowait, event)\n except Exception:\n pass\n # #endregion _broadcast_dataset_updated\n" + }, { "contract_id": "TaskManagerModule", "contract_type": "Module", "file_path": "backend/src/core/task_manager/manager.py", "start_line": 1, - "end_line": 322, + "end_line": 336, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -26613,14 +27976,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region TaskManagerModule [C:5] [TYPE Module] [SEMANTICS task, schedule, execution, task-manager]\n# @BRIEF Thin facade composing TaskGraph (registry), EventBus (log/pub-sub), and JobLifecycle\n# (state machine) into a single TaskManager interface for backward compatibility.\n# @LAYER: Core\n# @PRE: Plugin loader and database sessions are initialized.\n# @POST: Orchestrates task execution and persistence.\n# @SIDE_EFFECT: Spawns worker threads and flushes logs to DB.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Model[Task, LogEntry]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @INVARIANT: Task IDs are unique.\n# @TEST_CONTRACT: TaskManagerRuntime -> {\n# required_fields: {plugin_loader: PluginLoader},\n# optional_fields: {},\n# invariants: [\"Must use belief_scope for logging\"]\n# }\n# @TEST_FIXTURE: valid_module -> {\"manager_initialized\": true}\n# @TEST_EDGE: missing_required_field -> {\"plugin_loader\": null}\n# @TEST_EDGE: empty_response -> {\"tasks\": []}\n# @TEST_EDGE: invalid_type -> {\"plugin_loader\": \"string_instead_of_object\"}\n# @TEST_EDGE: external_failure -> {\"db_unavailable\": true}\n# @TEST_INVARIANT: logger_compliance -> verifies: [valid_module]\n# @RATIONALE Decomposed from 708-line monolithic module into four focused modules (TaskGraph,\n# EventBus, JobLifecycle, and this facade) to satisfy INV_7. TaskManager now delegates\n# to sub-services while preserving the public API contract.\n# @REJECTED Keeping all five concerns (registry, lifecycle, log buffer, subscriptions, execution)\n# in one module was rejected — it violated INV_7 (708 lines vs 400 max), mixed threading\n# with async execution, and created an unmaintainable god class.\n\nimport asyncio\nfrom concurrent.futures import ThreadPoolExecutor\nimport threading\nfrom typing import Any\n\nfrom ..logger import belief_scope, logger\nfrom .event_bus import EventBus\nfrom .graph import TaskGraph\nfrom .lifecycle import JobLifecycle\nfrom .models import LogFilter, LogStats, Task, TaskStatus\nfrom .persistence import TaskLogPersistenceService, TaskPersistenceService\n\n\n# #region TaskManager [C:5] [TYPE Class] [SEMANTICS task, manager, lifecycle, execution, state]\n# @BRIEF Facade composing TaskGraph, EventBus, and JobLifecycle into a single interface.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @PRE: Plugin loader resolves plugin ids and persistence services are available.\n# @POST: In-memory task graph, lifecycle scheduler, and log event bus stay consistent with\n# persisted task state.\n# @INVARIANT: Task IDs are unique within the registry.\n# @INVARIANT: Each task has exactly one status at any time.\n# @INVARIANT: Log entries are never deleted after being added to a task.\n# @SIDE_EFFECT: Spawns worker threads, flushes logs to database, and mutates task states.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Output[Task]\n# @RATIONALE Thin facade — all delegating methods are under 15 lines. Actual business logic\n# (registry CRUD, log buffering, lifecycle state machine) lives in extracted modules.\n# @REJECTED Keeping all five concerns in one class was rejected — it violated INV_7 (708-line\n# manager.py) and made the god class impossible to test or maintain independently.\nclass TaskManager:\n \"\"\"\n Facade composing TaskGraph (registry), EventBus (log/pub-sub), and\n JobLifecycle (state machine) into a single TaskManager interface.\n \"\"\"\n\n # #region __init__ [TYPE Function] [C:5]\n # @BRIEF Initialize sub-services, create add_log callback, start background flusher.\n # @PRE: plugin_loader is initialized.\n # @POST: TaskManager is ready to accept tasks.\n # @SIDE_EFFECT: Starts background flusher thread and loads persisted task state into memory.\n def __init__(self, plugin_loader):\n with belief_scope(\"TaskManager.__init__\"):\n logger.reason(\"Initializing task manager runtime services\")\n self.plugin_loader = plugin_loader\n self.executor = ThreadPoolExecutor(max_workers=5)\n self.persistence_service = TaskPersistenceService()\n self.log_persistence_service = TaskLogPersistenceService()\n\n try:\n self.loop = asyncio.get_running_loop()\n except RuntimeError:\n self.loop = asyncio.get_event_loop()\n\n # Create sub-services\n self.graph = TaskGraph(self.persistence_service)\n self.event_bus = EventBus(self.log_persistence_service, self.loop)\n\n # Create add_log callback that lifecycle and plugins use\n self._add_log = self._make_add_log_callback()\n\n self.lifecycle = JobLifecycle(\n plugin_loader=self.plugin_loader,\n graph=self.graph,\n event_bus=self.event_bus,\n persistence_service=self.persistence_service,\n executor=self.executor,\n loop=self.loop,\n )\n\n # Load persisted tasks on startup\n self.graph.load_persisted_tasks()\n\n # Backward-compatible property aliases for tests\n self.tasks = self.graph.tasks\n self.task_futures = self.graph.task_futures\n self.subscribers = self.event_bus.subscribers\n self._log_buffer = self.event_bus._log_buffer\n self._log_buffer_lock = self.event_bus._log_buffer_lock\n self._flusher_stop_event = self.event_bus._flusher_stop_event\n self._flusher_thread = self.event_bus._flusher_thread\n\n logger.reflect(\n \"Task manager runtime initialized\",\n extra={\"task_count\": len(self.tasks)},\n )\n # #endregion __init__\n\n # #region _make_add_log_callback [C:2] [TYPE Function]\n # @BRIEF Create a closure for adding logs that looks up the task and delegates to EventBus.\n def _make_add_log_callback(self):\n def _add_log(task_id, level, message, source=\"system\", metadata=None, context=None):\n task = self.graph.get_task(task_id)\n if not task:\n return\n self.event_bus.add_log(\n task_id, level, message, source, metadata, context,\n task_logs_list=task.logs,\n )\n return _add_log\n # #endregion _make_add_log_callback\n\n # ── Deprecated legacy aliases (delegate to EventBus) ──\n\n # #region _flusher_loop [C:3] [TYPE Function] [SEMANTICS flush,background,thread]\n # @BRIEF Legacy alias delegating to EventBus._flusher_loop.\n def _flusher_loop(self):\n self.event_bus._flusher_loop()\n # #endregion _flusher_loop\n\n # #region _flush_logs [C:3] [TYPE Function] [SEMANTICS flush,batch,persistence]\n # @BRIEF Legacy alias delegating to EventBus._flush_logs.\n def _flush_logs(self):\n self.event_bus._flush_logs()\n # #endregion _flush_logs\n\n # #region _flush_task_logs [C:3] [TYPE Function] [SEMANTICS flush,single,persistence]\n # @BRIEF Legacy alias delegating to EventBus.flush_task_logs.\n def _flush_task_logs(self, task_id: str):\n self.event_bus.flush_task_logs(task_id)\n # #endregion _flush_task_logs\n\n # ── Task CRUD delegates to TaskGraph ──\n\n # #region get_task [TYPE Function] [C:2]\n # @BRIEF Retrieves a task by its ID.\n def get_task(self, task_id: str) -> Task | None:\n return self.graph.get_task(task_id)\n # #endregion get_task\n\n # #region get_all_tasks [TYPE Function] [C:1]\n # @BRIEF Retrieves all registered tasks.\n def get_all_tasks(self) -> list[Task]:\n return self.graph.get_all_tasks()\n # #endregion get_all_tasks\n\n # #region get_tasks [TYPE Function] [C:3]\n # @BRIEF Retrieves tasks with pagination and optional status filter.\n def get_tasks(\n self,\n limit: int = 10,\n offset: int = 0,\n status: TaskStatus | None = None,\n plugin_ids: list[str] | None = None,\n completed_only: bool = False,\n ) -> list[Task]:\n return self.graph.get_tasks(limit, offset, status, plugin_ids, completed_only)\n # #endregion get_tasks\n\n # #region load_persisted_tasks [TYPE Function] [C:2]\n # @BRIEF Load persisted tasks using persistence service.\n def load_persisted_tasks(self) -> None:\n self.graph.load_persisted_tasks(limit=100)\n # #endregion load_persisted_tasks\n\n # #region clear_tasks [TYPE Function] [C:4]\n # @BRIEF Clears tasks based on status filter (also deletes associated logs).\n # @SIDE_EFFECT Removes tasks from registry and persistence; cancels futures.\n def clear_tasks(self, status: TaskStatus | None = None) -> int:\n with belief_scope(\"TaskManager.clear_tasks\"):\n tasks_to_remove = []\n for task_id, task in list(self.tasks.items()):\n should_remove = False\n if status:\n if task.status == status:\n should_remove = True\n else:\n if task.status not in [\n TaskStatus.RUNNING,\n TaskStatus.AWAITING_INPUT,\n TaskStatus.AWAITING_MAPPING,\n ]:\n should_remove = True\n if should_remove:\n tasks_to_remove.append(task_id)\n\n # Delete logs first, then remove tasks\n if tasks_to_remove:\n self.event_bus.delete_logs_for_tasks(tasks_to_remove)\n removed = self.graph.remove_tasks(tasks_to_remove)\n logger.info(f\"Cleared {removed} tasks.\")\n return removed\n # #endregion clear_tasks\n\n # ── Log delegates to EventBus ──\n\n # #region get_task_logs [TYPE Function] [C:3]\n # @BRIEF Retrieves logs for a specific task (from memory or persistence).\n def get_task_logs(\n self, task_id: str, log_filter: LogFilter | None = None\n ) -> list:\n task = self.graph.get_task(task_id)\n task_status = task.status if task else None\n task_logs = task.logs if task else []\n return self.event_bus.get_task_logs(\n task_id, log_filter, task_status=task_status, task_logs=task_logs\n )\n # #endregion get_task_logs\n\n # #region get_task_log_stats [TYPE Function] [C:2]\n # @BRIEF Get statistics about logs for a task.\n def get_task_log_stats(self, task_id: str) -> LogStats:\n return self.event_bus.get_task_log_stats(task_id)\n # #endregion get_task_log_stats\n\n # #region get_task_log_sources [TYPE Function] [C:2]\n # @BRIEF Get unique sources for a task's logs.\n def get_task_log_sources(self, task_id: str) -> list[str]:\n return self.event_bus.get_task_log_sources(task_id)\n # #endregion get_task_log_sources\n\n # ── Subscription delegates to EventBus ──\n\n # #region subscribe_logs [TYPE Function] [C:2]\n # @BRIEF Subscribes to real-time logs for a task.\n async def subscribe_logs(self, task_id: str) -> asyncio.Queue:\n return await self.event_bus.subscribe_logs(task_id)\n # #endregion subscribe_logs\n\n # #region unsubscribe_logs [TYPE Function] [C:2]\n # @BRIEF Unsubscribes from real-time logs for a task.\n def unsubscribe_logs(self, task_id: str, queue: asyncio.Queue):\n self.event_bus.unsubscribe_logs(task_id, queue)\n # #endregion unsubscribe_logs\n\n # ── Lifecycle delegates to JobLifecycle ──\n\n # #region create_task [TYPE Function] [C:4]\n # @BRIEF Creates and queues a new task for execution.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None\n ) -> Task:\n return await self.lifecycle.create_task(\n plugin_id, params, user_id,\n add_log_callback=self._add_log,\n )\n # #endregion create_task\n\n # #region _run_task [TYPE Function] [C:4]\n # @BRIEF Internal method to execute a task with TaskContext support (delegates to lifecycle).\n async def _run_task(self, task_id: str):\n await self.lifecycle._run_task(task_id, add_log_callback=self._add_log)\n # #endregion _run_task\n\n # #region resolve_task [TYPE Function] [C:3]\n # @BRIEF Resumes a task that is awaiting mapping.\n async def resolve_task(self, task_id: str, resolution_params: dict[str, Any]):\n await self.lifecycle.resolve_task(task_id, resolution_params)\n # #endregion resolve_task\n\n # #region wait_for_resolution [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for a resolution signal.\n async def wait_for_resolution(self, task_id: str):\n await self.lifecycle.wait_for_resolution(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for user input.\n async def wait_for_input(self, task_id: str):\n await self.lifecycle.wait_for_input(task_id)\n # #endregion wait_for_input\n\n # #region await_input [TYPE Function] [C:3]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n def await_input(self, task_id: str, input_request: dict[str, Any]) -> None:\n self.lifecycle.await_input(\n task_id, input_request,\n add_log_callback=self._add_log,\n )\n # #endregion await_input\n\n # #region resume_task_with_password [TYPE Function] [C:3]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str]\n ) -> None:\n self.lifecycle.resume_task_with_password(\n task_id, passwords,\n add_log_callback=self._add_log,\n )\n # #endregion resume_task_with_password\n# #endregion TaskManager\n# #endregion TaskManagerModule\n" + "body": "# #region TaskManagerModule [C:5] [TYPE Module] [SEMANTICS task, schedule, execution, task-manager]\n# @BRIEF Thin facade composing TaskGraph (registry), EventBus (log/pub-sub), and JobLifecycle\n# (state machine) into a single TaskManager interface for backward compatibility.\n# @LAYER: Core\n# @PRE: Plugin loader and database sessions are initialized.\n# @POST: Orchestrates task execution and persistence.\n# @SIDE_EFFECT: Spawns worker threads and flushes logs to DB.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Model[Task, LogEntry]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @INVARIANT: Task IDs are unique.\n# @TEST_CONTRACT: TaskManagerRuntime -> {\n# required_fields: {plugin_loader: PluginLoader},\n# optional_fields: {},\n# invariants: [\"Must use belief_scope for logging\"]\n# }\n# @TEST_FIXTURE: valid_module -> {\"manager_initialized\": true}\n# @TEST_EDGE: missing_required_field -> {\"plugin_loader\": null}\n# @TEST_EDGE: empty_response -> {\"tasks\": []}\n# @TEST_EDGE: invalid_type -> {\"plugin_loader\": \"string_instead_of_object\"}\n# @TEST_EDGE: external_failure -> {\"db_unavailable\": true}\n# @TEST_INVARIANT: logger_compliance -> verifies: [valid_module]\n# @RATIONALE Decomposed from 708-line monolithic module into four focused modules (TaskGraph,\n# EventBus, JobLifecycle, and this facade) to satisfy INV_7. TaskManager now delegates\n# to sub-services while preserving the public API contract.\n# @REJECTED Keeping all five concerns (registry, lifecycle, log buffer, subscriptions, execution)\n# in one module was rejected — it violated INV_7 (708 lines vs 400 max), mixed threading\n# with async execution, and created an unmaintainable god class.\n\nimport asyncio\nfrom concurrent.futures import ThreadPoolExecutor\nimport threading\nfrom typing import Any\n\nfrom ..logger import belief_scope, logger\nfrom .event_bus import EventBus\nfrom .graph import TaskGraph\nfrom .lifecycle import JobLifecycle\nfrom .models import LogFilter, LogStats, Task, TaskStatus\nfrom .persistence import TaskLogPersistenceService, TaskPersistenceService\n\n\n# #region TaskManager [C:5] [TYPE Class] [SEMANTICS task, manager, lifecycle, execution, state]\n# @BRIEF Facade composing TaskGraph, EventBus, and JobLifecycle into a single interface.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @PRE: Plugin loader resolves plugin ids and persistence services are available.\n# @POST: In-memory task graph, lifecycle scheduler, and log event bus stay consistent with\n# persisted task state.\n# @INVARIANT: Task IDs are unique within the registry.\n# @INVARIANT: Each task has exactly one status at any time.\n# @INVARIANT: Log entries are never deleted after being added to a task.\n# @SIDE_EFFECT: Spawns worker threads, flushes logs to database, and mutates task states.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Output[Task]\n# @RATIONALE Thin facade — all delegating methods are under 15 lines. Actual business logic\n# (registry CRUD, log buffering, lifecycle state machine) lives in extracted modules.\n# @REJECTED Keeping all five concerns in one class was rejected — it violated INV_7 (708-line\n# manager.py) and made the god class impossible to test or maintain independently.\nclass TaskManager:\n \"\"\"\n Facade composing TaskGraph (registry), EventBus (log/pub-sub), and\n JobLifecycle (state machine) into a single TaskManager interface.\n \"\"\"\n\n # #region __init__ [TYPE Function] [C:5]\n # @BRIEF Initialize sub-services, create add_log callback, start background flusher.\n # @PRE: plugin_loader is initialized.\n # @POST: TaskManager is ready to accept tasks.\n # @SIDE_EFFECT: Starts background flusher thread and loads persisted task state into memory.\n def __init__(self, plugin_loader):\n with belief_scope(\"TaskManager.__init__\"):\n logger.reason(\"Initializing task manager runtime services\")\n self.plugin_loader = plugin_loader\n self.executor = ThreadPoolExecutor(max_workers=5)\n self.persistence_service = TaskPersistenceService()\n self.log_persistence_service = TaskLogPersistenceService()\n\n try:\n self.loop = asyncio.get_running_loop()\n except RuntimeError:\n self.loop = asyncio.get_event_loop()\n\n # Create sub-services\n self.graph = TaskGraph(self.persistence_service)\n self.event_bus = EventBus(self.log_persistence_service, self.loop)\n\n # Create add_log callback that lifecycle and plugins use\n self._add_log = self._make_add_log_callback()\n\n self.lifecycle = JobLifecycle(\n plugin_loader=self.plugin_loader,\n graph=self.graph,\n event_bus=self.event_bus,\n persistence_service=self.persistence_service,\n executor=self.executor,\n loop=self.loop,\n )\n\n # Load persisted tasks on startup\n self.graph.load_persisted_tasks()\n\n # Backward-compatible property aliases for tests\n self.tasks = self.graph.tasks\n self.task_futures = self.graph.task_futures\n self.subscribers = self.event_bus.subscribers\n self._log_buffer = self.event_bus._log_buffer\n self._log_buffer_lock = self.event_bus._log_buffer_lock\n self._flusher_stop_event = self.event_bus._flusher_stop_event\n self._flusher_thread = self.event_bus._flusher_thread\n\n logger.reflect(\n \"Task manager runtime initialized\",\n extra={\"task_count\": len(self.tasks)},\n )\n # #endregion __init__\n\n # #region _make_add_log_callback [C:2] [TYPE Function]\n # @BRIEF Create a closure for adding logs that looks up the task and delegates to EventBus.\n def _make_add_log_callback(self):\n def _add_log(task_id, level, message, source=\"system\", metadata=None, context=None):\n task = self.graph.get_task(task_id)\n if not task:\n return\n self.event_bus.add_log(\n task_id, level, message, source, metadata, context,\n task_logs_list=task.logs,\n )\n return _add_log\n # #endregion _make_add_log_callback\n\n # ── Deprecated legacy aliases (delegate to EventBus) ──\n\n # #region _flusher_loop [C:3] [TYPE Function] [SEMANTICS flush,background,thread]\n # @BRIEF Legacy alias delegating to EventBus._flusher_loop.\n def _flusher_loop(self):\n self.event_bus._flusher_loop()\n # #endregion _flusher_loop\n\n # #region _flush_logs [C:3] [TYPE Function] [SEMANTICS flush,batch,persistence]\n # @BRIEF Legacy alias delegating to EventBus._flush_logs.\n def _flush_logs(self):\n self.event_bus._flush_logs()\n # #endregion _flush_logs\n\n # #region _flush_task_logs [C:3] [TYPE Function] [SEMANTICS flush,single,persistence]\n # @BRIEF Legacy alias delegating to EventBus.flush_task_logs.\n def _flush_task_logs(self, task_id: str):\n self.event_bus.flush_task_logs(task_id)\n # #endregion _flush_task_logs\n\n # ── Task CRUD delegates to TaskGraph ──\n\n # #region get_task [TYPE Function] [C:2]\n # @BRIEF Retrieves a task by its ID.\n def get_task(self, task_id: str) -> Task | None:\n return self.graph.get_task(task_id)\n # #endregion get_task\n\n # #region get_all_tasks [TYPE Function] [C:1]\n # @BRIEF Retrieves all registered tasks.\n def get_all_tasks(self) -> list[Task]:\n return self.graph.get_all_tasks()\n # #endregion get_all_tasks\n\n # #region get_tasks [TYPE Function] [C:3]\n # @BRIEF Retrieves tasks with pagination and optional status filter.\n def get_tasks(\n self,\n limit: int = 10,\n offset: int = 0,\n status: TaskStatus | None = None,\n plugin_ids: list[str] | None = None,\n completed_only: bool = False,\n ) -> list[Task]:\n return self.graph.get_tasks(limit, offset, status, plugin_ids, completed_only)\n # #endregion get_tasks\n\n # #region load_persisted_tasks [TYPE Function] [C:2]\n # @BRIEF Load persisted tasks using persistence service.\n def load_persisted_tasks(self) -> None:\n self.graph.load_persisted_tasks(limit=100)\n # #endregion load_persisted_tasks\n\n # #region clear_tasks [TYPE Function] [C:4]\n # @BRIEF Clears tasks based on status filter (also deletes associated logs).\n # @SIDE_EFFECT Removes tasks from registry and persistence; cancels futures.\n def clear_tasks(self, status: TaskStatus | None = None) -> int:\n with belief_scope(\"TaskManager.clear_tasks\"):\n tasks_to_remove = []\n for task_id, task in list(self.tasks.items()):\n should_remove = False\n if status:\n if task.status == status:\n should_remove = True\n else:\n if task.status not in [\n TaskStatus.RUNNING,\n TaskStatus.AWAITING_INPUT,\n TaskStatus.AWAITING_MAPPING,\n ]:\n should_remove = True\n if should_remove:\n tasks_to_remove.append(task_id)\n\n # Delete logs first, then remove tasks\n if tasks_to_remove:\n self.event_bus.delete_logs_for_tasks(tasks_to_remove)\n removed = self.graph.remove_tasks(tasks_to_remove)\n logger.info(f\"Cleared {removed} tasks.\")\n return removed\n # #endregion clear_tasks\n\n # ── Log delegates to EventBus ──\n\n # #region get_task_logs [TYPE Function] [C:3]\n # @BRIEF Retrieves logs for a specific task (from memory or persistence).\n def get_task_logs(\n self, task_id: str, log_filter: LogFilter | None = None\n ) -> list:\n task = self.graph.get_task(task_id)\n task_status = task.status if task else None\n task_logs = task.logs if task else []\n return self.event_bus.get_task_logs(\n task_id, log_filter, task_status=task_status, task_logs=task_logs\n )\n # #endregion get_task_logs\n\n # #region get_task_log_stats [TYPE Function] [C:2]\n # @BRIEF Get statistics about logs for a task.\n def get_task_log_stats(self, task_id: str) -> LogStats:\n return self.event_bus.get_task_log_stats(task_id)\n # #endregion get_task_log_stats\n\n # #region get_task_log_sources [TYPE Function] [C:2]\n # @BRIEF Get unique sources for a task's logs.\n def get_task_log_sources(self, task_id: str) -> list[str]:\n return self.event_bus.get_task_log_sources(task_id)\n # #endregion get_task_log_sources\n\n # ── Subscription delegates to EventBus ──\n\n # #region subscribe_logs [TYPE Function] [C:2]\n # @BRIEF Subscribes to real-time logs for a task.\n async def subscribe_logs(self, task_id: str) -> asyncio.Queue:\n return await self.event_bus.subscribe_logs(task_id)\n # #endregion subscribe_logs\n\n # #region unsubscribe_logs [TYPE Function] [C:2]\n # @BRIEF Unsubscribes from real-time logs for a task.\n def unsubscribe_logs(self, task_id: str, queue: asyncio.Queue):\n self.event_bus.unsubscribe_logs(task_id, queue)\n # #endregion unsubscribe_logs\n\n # ── Lifecycle delegates to JobLifecycle ──\n\n # #region create_task [TYPE Function] [C:4]\n # @BRIEF Creates and queues a new task for execution.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None\n ) -> Task:\n return await self.lifecycle.create_task(\n plugin_id, params, user_id,\n add_log_callback=self._add_log,\n )\n # #endregion create_task\n\n # #region _run_task [TYPE Function] [C:4]\n # @BRIEF Internal method to execute a task with TaskContext support (delegates to lifecycle).\n async def _run_task(self, task_id: str):\n await self.lifecycle._run_task(task_id, add_log_callback=self._add_log)\n # #endregion _run_task\n\n # #region resolve_task [TYPE Function] [C:3]\n # @BRIEF Resumes a task that is awaiting mapping.\n async def resolve_task(self, task_id: str, resolution_params: dict[str, Any]):\n await self.lifecycle.resolve_task(task_id, resolution_params)\n # #endregion resolve_task\n\n # #region wait_for_resolution [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for a resolution signal.\n async def wait_for_resolution(self, task_id: str):\n await self.lifecycle.wait_for_resolution(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for user input.\n async def wait_for_input(self, task_id: str):\n await self.lifecycle.wait_for_input(task_id)\n # #endregion wait_for_input\n\n # #region await_input [TYPE Function] [C:3]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n def await_input(self, task_id: str, input_request: dict[str, Any]) -> None:\n self.lifecycle.await_input(\n task_id, input_request,\n add_log_callback=self._add_log,\n )\n # #endregion await_input\n\n # #region resume_task_with_password [TYPE Function] [C:3]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str]\n ) -> None:\n self.lifecycle.resume_task_with_password(\n task_id, passwords,\n add_log_callback=self._add_log,\n )\n # #endregion resume_task_with_password\n\n # ── Dataset event delegates to JobLifecycle ──\n\n # #region subscribe_dataset_events [TYPE Function] [C:2]\n # @BRIEF Subscribe to dataset.updated events for an environment.\n async def subscribe_dataset_events(self, env_id: str) -> asyncio.Queue:\n return await self.lifecycle.subscribe_dataset_events(env_id)\n # #endregion subscribe_dataset_events\n\n # #region unsubscribe_dataset_events [TYPE Function] [C:2]\n # @BRIEF Unsubscribe from dataset.updated events.\n def unsubscribe_dataset_events(self, env_id: str, queue: asyncio.Queue):\n self.lifecycle.unsubscribe_dataset_events(env_id, queue)\n # #endregion unsubscribe_dataset_events\n# #endregion TaskManager\n# #endregion TaskManagerModule\n" }, { "contract_id": "TaskManager", "contract_type": "Class", "file_path": "backend/src/core/task_manager/manager.py", "start_line": 48, - "end_line": 321, + "end_line": 335, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -26700,7 +28063,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region TaskManager [C:5] [TYPE Class] [SEMANTICS task, manager, lifecycle, execution, state]\n# @BRIEF Facade composing TaskGraph, EventBus, and JobLifecycle into a single interface.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @PRE: Plugin loader resolves plugin ids and persistence services are available.\n# @POST: In-memory task graph, lifecycle scheduler, and log event bus stay consistent with\n# persisted task state.\n# @INVARIANT: Task IDs are unique within the registry.\n# @INVARIANT: Each task has exactly one status at any time.\n# @INVARIANT: Log entries are never deleted after being added to a task.\n# @SIDE_EFFECT: Spawns worker threads, flushes logs to database, and mutates task states.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Output[Task]\n# @RATIONALE Thin facade — all delegating methods are under 15 lines. Actual business logic\n# (registry CRUD, log buffering, lifecycle state machine) lives in extracted modules.\n# @REJECTED Keeping all five concerns in one class was rejected — it violated INV_7 (708-line\n# manager.py) and made the god class impossible to test or maintain independently.\nclass TaskManager:\n \"\"\"\n Facade composing TaskGraph (registry), EventBus (log/pub-sub), and\n JobLifecycle (state machine) into a single TaskManager interface.\n \"\"\"\n\n # #region __init__ [TYPE Function] [C:5]\n # @BRIEF Initialize sub-services, create add_log callback, start background flusher.\n # @PRE: plugin_loader is initialized.\n # @POST: TaskManager is ready to accept tasks.\n # @SIDE_EFFECT: Starts background flusher thread and loads persisted task state into memory.\n def __init__(self, plugin_loader):\n with belief_scope(\"TaskManager.__init__\"):\n logger.reason(\"Initializing task manager runtime services\")\n self.plugin_loader = plugin_loader\n self.executor = ThreadPoolExecutor(max_workers=5)\n self.persistence_service = TaskPersistenceService()\n self.log_persistence_service = TaskLogPersistenceService()\n\n try:\n self.loop = asyncio.get_running_loop()\n except RuntimeError:\n self.loop = asyncio.get_event_loop()\n\n # Create sub-services\n self.graph = TaskGraph(self.persistence_service)\n self.event_bus = EventBus(self.log_persistence_service, self.loop)\n\n # Create add_log callback that lifecycle and plugins use\n self._add_log = self._make_add_log_callback()\n\n self.lifecycle = JobLifecycle(\n plugin_loader=self.plugin_loader,\n graph=self.graph,\n event_bus=self.event_bus,\n persistence_service=self.persistence_service,\n executor=self.executor,\n loop=self.loop,\n )\n\n # Load persisted tasks on startup\n self.graph.load_persisted_tasks()\n\n # Backward-compatible property aliases for tests\n self.tasks = self.graph.tasks\n self.task_futures = self.graph.task_futures\n self.subscribers = self.event_bus.subscribers\n self._log_buffer = self.event_bus._log_buffer\n self._log_buffer_lock = self.event_bus._log_buffer_lock\n self._flusher_stop_event = self.event_bus._flusher_stop_event\n self._flusher_thread = self.event_bus._flusher_thread\n\n logger.reflect(\n \"Task manager runtime initialized\",\n extra={\"task_count\": len(self.tasks)},\n )\n # #endregion __init__\n\n # #region _make_add_log_callback [C:2] [TYPE Function]\n # @BRIEF Create a closure for adding logs that looks up the task and delegates to EventBus.\n def _make_add_log_callback(self):\n def _add_log(task_id, level, message, source=\"system\", metadata=None, context=None):\n task = self.graph.get_task(task_id)\n if not task:\n return\n self.event_bus.add_log(\n task_id, level, message, source, metadata, context,\n task_logs_list=task.logs,\n )\n return _add_log\n # #endregion _make_add_log_callback\n\n # ── Deprecated legacy aliases (delegate to EventBus) ──\n\n # #region _flusher_loop [C:3] [TYPE Function] [SEMANTICS flush,background,thread]\n # @BRIEF Legacy alias delegating to EventBus._flusher_loop.\n def _flusher_loop(self):\n self.event_bus._flusher_loop()\n # #endregion _flusher_loop\n\n # #region _flush_logs [C:3] [TYPE Function] [SEMANTICS flush,batch,persistence]\n # @BRIEF Legacy alias delegating to EventBus._flush_logs.\n def _flush_logs(self):\n self.event_bus._flush_logs()\n # #endregion _flush_logs\n\n # #region _flush_task_logs [C:3] [TYPE Function] [SEMANTICS flush,single,persistence]\n # @BRIEF Legacy alias delegating to EventBus.flush_task_logs.\n def _flush_task_logs(self, task_id: str):\n self.event_bus.flush_task_logs(task_id)\n # #endregion _flush_task_logs\n\n # ── Task CRUD delegates to TaskGraph ──\n\n # #region get_task [TYPE Function] [C:2]\n # @BRIEF Retrieves a task by its ID.\n def get_task(self, task_id: str) -> Task | None:\n return self.graph.get_task(task_id)\n # #endregion get_task\n\n # #region get_all_tasks [TYPE Function] [C:1]\n # @BRIEF Retrieves all registered tasks.\n def get_all_tasks(self) -> list[Task]:\n return self.graph.get_all_tasks()\n # #endregion get_all_tasks\n\n # #region get_tasks [TYPE Function] [C:3]\n # @BRIEF Retrieves tasks with pagination and optional status filter.\n def get_tasks(\n self,\n limit: int = 10,\n offset: int = 0,\n status: TaskStatus | None = None,\n plugin_ids: list[str] | None = None,\n completed_only: bool = False,\n ) -> list[Task]:\n return self.graph.get_tasks(limit, offset, status, plugin_ids, completed_only)\n # #endregion get_tasks\n\n # #region load_persisted_tasks [TYPE Function] [C:2]\n # @BRIEF Load persisted tasks using persistence service.\n def load_persisted_tasks(self) -> None:\n self.graph.load_persisted_tasks(limit=100)\n # #endregion load_persisted_tasks\n\n # #region clear_tasks [TYPE Function] [C:4]\n # @BRIEF Clears tasks based on status filter (also deletes associated logs).\n # @SIDE_EFFECT Removes tasks from registry and persistence; cancels futures.\n def clear_tasks(self, status: TaskStatus | None = None) -> int:\n with belief_scope(\"TaskManager.clear_tasks\"):\n tasks_to_remove = []\n for task_id, task in list(self.tasks.items()):\n should_remove = False\n if status:\n if task.status == status:\n should_remove = True\n else:\n if task.status not in [\n TaskStatus.RUNNING,\n TaskStatus.AWAITING_INPUT,\n TaskStatus.AWAITING_MAPPING,\n ]:\n should_remove = True\n if should_remove:\n tasks_to_remove.append(task_id)\n\n # Delete logs first, then remove tasks\n if tasks_to_remove:\n self.event_bus.delete_logs_for_tasks(tasks_to_remove)\n removed = self.graph.remove_tasks(tasks_to_remove)\n logger.info(f\"Cleared {removed} tasks.\")\n return removed\n # #endregion clear_tasks\n\n # ── Log delegates to EventBus ──\n\n # #region get_task_logs [TYPE Function] [C:3]\n # @BRIEF Retrieves logs for a specific task (from memory or persistence).\n def get_task_logs(\n self, task_id: str, log_filter: LogFilter | None = None\n ) -> list:\n task = self.graph.get_task(task_id)\n task_status = task.status if task else None\n task_logs = task.logs if task else []\n return self.event_bus.get_task_logs(\n task_id, log_filter, task_status=task_status, task_logs=task_logs\n )\n # #endregion get_task_logs\n\n # #region get_task_log_stats [TYPE Function] [C:2]\n # @BRIEF Get statistics about logs for a task.\n def get_task_log_stats(self, task_id: str) -> LogStats:\n return self.event_bus.get_task_log_stats(task_id)\n # #endregion get_task_log_stats\n\n # #region get_task_log_sources [TYPE Function] [C:2]\n # @BRIEF Get unique sources for a task's logs.\n def get_task_log_sources(self, task_id: str) -> list[str]:\n return self.event_bus.get_task_log_sources(task_id)\n # #endregion get_task_log_sources\n\n # ── Subscription delegates to EventBus ──\n\n # #region subscribe_logs [TYPE Function] [C:2]\n # @BRIEF Subscribes to real-time logs for a task.\n async def subscribe_logs(self, task_id: str) -> asyncio.Queue:\n return await self.event_bus.subscribe_logs(task_id)\n # #endregion subscribe_logs\n\n # #region unsubscribe_logs [TYPE Function] [C:2]\n # @BRIEF Unsubscribes from real-time logs for a task.\n def unsubscribe_logs(self, task_id: str, queue: asyncio.Queue):\n self.event_bus.unsubscribe_logs(task_id, queue)\n # #endregion unsubscribe_logs\n\n # ── Lifecycle delegates to JobLifecycle ──\n\n # #region create_task [TYPE Function] [C:4]\n # @BRIEF Creates and queues a new task for execution.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None\n ) -> Task:\n return await self.lifecycle.create_task(\n plugin_id, params, user_id,\n add_log_callback=self._add_log,\n )\n # #endregion create_task\n\n # #region _run_task [TYPE Function] [C:4]\n # @BRIEF Internal method to execute a task with TaskContext support (delegates to lifecycle).\n async def _run_task(self, task_id: str):\n await self.lifecycle._run_task(task_id, add_log_callback=self._add_log)\n # #endregion _run_task\n\n # #region resolve_task [TYPE Function] [C:3]\n # @BRIEF Resumes a task that is awaiting mapping.\n async def resolve_task(self, task_id: str, resolution_params: dict[str, Any]):\n await self.lifecycle.resolve_task(task_id, resolution_params)\n # #endregion resolve_task\n\n # #region wait_for_resolution [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for a resolution signal.\n async def wait_for_resolution(self, task_id: str):\n await self.lifecycle.wait_for_resolution(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for user input.\n async def wait_for_input(self, task_id: str):\n await self.lifecycle.wait_for_input(task_id)\n # #endregion wait_for_input\n\n # #region await_input [TYPE Function] [C:3]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n def await_input(self, task_id: str, input_request: dict[str, Any]) -> None:\n self.lifecycle.await_input(\n task_id, input_request,\n add_log_callback=self._add_log,\n )\n # #endregion await_input\n\n # #region resume_task_with_password [TYPE Function] [C:3]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str]\n ) -> None:\n self.lifecycle.resume_task_with_password(\n task_id, passwords,\n add_log_callback=self._add_log,\n )\n # #endregion resume_task_with_password\n# #endregion TaskManager\n" + "body": "# #region TaskManager [C:5] [TYPE Class] [SEMANTICS task, manager, lifecycle, execution, state]\n# @BRIEF Facade composing TaskGraph, EventBus, and JobLifecycle into a single interface.\n# @LAYER: Core\n# @RELATION DEPENDS_ON -> [TaskPersistenceService]\n# @RELATION DEPENDS_ON -> [TaskLogPersistenceService]\n# @RELATION DEPENDS_ON -> [PluginLoader]\n# @RELATION DEPENDS_ON -> [TaskContext]\n# @RELATION DEPENDS_ON -> [TaskGraph]\n# @RELATION DEPENDS_ON -> [JobLifecycle]\n# @RELATION DEPENDS_ON -> [EventBus]\n# @PRE: Plugin loader resolves plugin ids and persistence services are available.\n# @POST: In-memory task graph, lifecycle scheduler, and log event bus stay consistent with\n# persisted task state.\n# @INVARIANT: Task IDs are unique within the registry.\n# @INVARIANT: Each task has exactly one status at any time.\n# @INVARIANT: Log entries are never deleted after being added to a task.\n# @SIDE_EFFECT: Spawns worker threads, flushes logs to database, and mutates task states.\n# @DATA_CONTRACT: Input[plugin_id, params] -> Output[Task]\n# @RATIONALE Thin facade — all delegating methods are under 15 lines. Actual business logic\n# (registry CRUD, log buffering, lifecycle state machine) lives in extracted modules.\n# @REJECTED Keeping all five concerns in one class was rejected — it violated INV_7 (708-line\n# manager.py) and made the god class impossible to test or maintain independently.\nclass TaskManager:\n \"\"\"\n Facade composing TaskGraph (registry), EventBus (log/pub-sub), and\n JobLifecycle (state machine) into a single TaskManager interface.\n \"\"\"\n\n # #region __init__ [TYPE Function] [C:5]\n # @BRIEF Initialize sub-services, create add_log callback, start background flusher.\n # @PRE: plugin_loader is initialized.\n # @POST: TaskManager is ready to accept tasks.\n # @SIDE_EFFECT: Starts background flusher thread and loads persisted task state into memory.\n def __init__(self, plugin_loader):\n with belief_scope(\"TaskManager.__init__\"):\n logger.reason(\"Initializing task manager runtime services\")\n self.plugin_loader = plugin_loader\n self.executor = ThreadPoolExecutor(max_workers=5)\n self.persistence_service = TaskPersistenceService()\n self.log_persistence_service = TaskLogPersistenceService()\n\n try:\n self.loop = asyncio.get_running_loop()\n except RuntimeError:\n self.loop = asyncio.get_event_loop()\n\n # Create sub-services\n self.graph = TaskGraph(self.persistence_service)\n self.event_bus = EventBus(self.log_persistence_service, self.loop)\n\n # Create add_log callback that lifecycle and plugins use\n self._add_log = self._make_add_log_callback()\n\n self.lifecycle = JobLifecycle(\n plugin_loader=self.plugin_loader,\n graph=self.graph,\n event_bus=self.event_bus,\n persistence_service=self.persistence_service,\n executor=self.executor,\n loop=self.loop,\n )\n\n # Load persisted tasks on startup\n self.graph.load_persisted_tasks()\n\n # Backward-compatible property aliases for tests\n self.tasks = self.graph.tasks\n self.task_futures = self.graph.task_futures\n self.subscribers = self.event_bus.subscribers\n self._log_buffer = self.event_bus._log_buffer\n self._log_buffer_lock = self.event_bus._log_buffer_lock\n self._flusher_stop_event = self.event_bus._flusher_stop_event\n self._flusher_thread = self.event_bus._flusher_thread\n\n logger.reflect(\n \"Task manager runtime initialized\",\n extra={\"task_count\": len(self.tasks)},\n )\n # #endregion __init__\n\n # #region _make_add_log_callback [C:2] [TYPE Function]\n # @BRIEF Create a closure for adding logs that looks up the task and delegates to EventBus.\n def _make_add_log_callback(self):\n def _add_log(task_id, level, message, source=\"system\", metadata=None, context=None):\n task = self.graph.get_task(task_id)\n if not task:\n return\n self.event_bus.add_log(\n task_id, level, message, source, metadata, context,\n task_logs_list=task.logs,\n )\n return _add_log\n # #endregion _make_add_log_callback\n\n # ── Deprecated legacy aliases (delegate to EventBus) ──\n\n # #region _flusher_loop [C:3] [TYPE Function] [SEMANTICS flush,background,thread]\n # @BRIEF Legacy alias delegating to EventBus._flusher_loop.\n def _flusher_loop(self):\n self.event_bus._flusher_loop()\n # #endregion _flusher_loop\n\n # #region _flush_logs [C:3] [TYPE Function] [SEMANTICS flush,batch,persistence]\n # @BRIEF Legacy alias delegating to EventBus._flush_logs.\n def _flush_logs(self):\n self.event_bus._flush_logs()\n # #endregion _flush_logs\n\n # #region _flush_task_logs [C:3] [TYPE Function] [SEMANTICS flush,single,persistence]\n # @BRIEF Legacy alias delegating to EventBus.flush_task_logs.\n def _flush_task_logs(self, task_id: str):\n self.event_bus.flush_task_logs(task_id)\n # #endregion _flush_task_logs\n\n # ── Task CRUD delegates to TaskGraph ──\n\n # #region get_task [TYPE Function] [C:2]\n # @BRIEF Retrieves a task by its ID.\n def get_task(self, task_id: str) -> Task | None:\n return self.graph.get_task(task_id)\n # #endregion get_task\n\n # #region get_all_tasks [TYPE Function] [C:1]\n # @BRIEF Retrieves all registered tasks.\n def get_all_tasks(self) -> list[Task]:\n return self.graph.get_all_tasks()\n # #endregion get_all_tasks\n\n # #region get_tasks [TYPE Function] [C:3]\n # @BRIEF Retrieves tasks with pagination and optional status filter.\n def get_tasks(\n self,\n limit: int = 10,\n offset: int = 0,\n status: TaskStatus | None = None,\n plugin_ids: list[str] | None = None,\n completed_only: bool = False,\n ) -> list[Task]:\n return self.graph.get_tasks(limit, offset, status, plugin_ids, completed_only)\n # #endregion get_tasks\n\n # #region load_persisted_tasks [TYPE Function] [C:2]\n # @BRIEF Load persisted tasks using persistence service.\n def load_persisted_tasks(self) -> None:\n self.graph.load_persisted_tasks(limit=100)\n # #endregion load_persisted_tasks\n\n # #region clear_tasks [TYPE Function] [C:4]\n # @BRIEF Clears tasks based on status filter (also deletes associated logs).\n # @SIDE_EFFECT Removes tasks from registry and persistence; cancels futures.\n def clear_tasks(self, status: TaskStatus | None = None) -> int:\n with belief_scope(\"TaskManager.clear_tasks\"):\n tasks_to_remove = []\n for task_id, task in list(self.tasks.items()):\n should_remove = False\n if status:\n if task.status == status:\n should_remove = True\n else:\n if task.status not in [\n TaskStatus.RUNNING,\n TaskStatus.AWAITING_INPUT,\n TaskStatus.AWAITING_MAPPING,\n ]:\n should_remove = True\n if should_remove:\n tasks_to_remove.append(task_id)\n\n # Delete logs first, then remove tasks\n if tasks_to_remove:\n self.event_bus.delete_logs_for_tasks(tasks_to_remove)\n removed = self.graph.remove_tasks(tasks_to_remove)\n logger.info(f\"Cleared {removed} tasks.\")\n return removed\n # #endregion clear_tasks\n\n # ── Log delegates to EventBus ──\n\n # #region get_task_logs [TYPE Function] [C:3]\n # @BRIEF Retrieves logs for a specific task (from memory or persistence).\n def get_task_logs(\n self, task_id: str, log_filter: LogFilter | None = None\n ) -> list:\n task = self.graph.get_task(task_id)\n task_status = task.status if task else None\n task_logs = task.logs if task else []\n return self.event_bus.get_task_logs(\n task_id, log_filter, task_status=task_status, task_logs=task_logs\n )\n # #endregion get_task_logs\n\n # #region get_task_log_stats [TYPE Function] [C:2]\n # @BRIEF Get statistics about logs for a task.\n def get_task_log_stats(self, task_id: str) -> LogStats:\n return self.event_bus.get_task_log_stats(task_id)\n # #endregion get_task_log_stats\n\n # #region get_task_log_sources [TYPE Function] [C:2]\n # @BRIEF Get unique sources for a task's logs.\n def get_task_log_sources(self, task_id: str) -> list[str]:\n return self.event_bus.get_task_log_sources(task_id)\n # #endregion get_task_log_sources\n\n # ── Subscription delegates to EventBus ──\n\n # #region subscribe_logs [TYPE Function] [C:2]\n # @BRIEF Subscribes to real-time logs for a task.\n async def subscribe_logs(self, task_id: str) -> asyncio.Queue:\n return await self.event_bus.subscribe_logs(task_id)\n # #endregion subscribe_logs\n\n # #region unsubscribe_logs [TYPE Function] [C:2]\n # @BRIEF Unsubscribes from real-time logs for a task.\n def unsubscribe_logs(self, task_id: str, queue: asyncio.Queue):\n self.event_bus.unsubscribe_logs(task_id, queue)\n # #endregion unsubscribe_logs\n\n # ── Lifecycle delegates to JobLifecycle ──\n\n # #region create_task [TYPE Function] [C:4]\n # @BRIEF Creates and queues a new task for execution.\n async def create_task(\n self, plugin_id: str, params: dict[str, Any], user_id: str | None = None\n ) -> Task:\n return await self.lifecycle.create_task(\n plugin_id, params, user_id,\n add_log_callback=self._add_log,\n )\n # #endregion create_task\n\n # #region _run_task [TYPE Function] [C:4]\n # @BRIEF Internal method to execute a task with TaskContext support (delegates to lifecycle).\n async def _run_task(self, task_id: str):\n await self.lifecycle._run_task(task_id, add_log_callback=self._add_log)\n # #endregion _run_task\n\n # #region resolve_task [TYPE Function] [C:3]\n # @BRIEF Resumes a task that is awaiting mapping.\n async def resolve_task(self, task_id: str, resolution_params: dict[str, Any]):\n await self.lifecycle.resolve_task(task_id, resolution_params)\n # #endregion resolve_task\n\n # #region wait_for_resolution [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for a resolution signal.\n async def wait_for_resolution(self, task_id: str):\n await self.lifecycle.wait_for_resolution(task_id)\n # #endregion wait_for_resolution\n\n # #region wait_for_input [TYPE Function] [C:3]\n # @BRIEF Pauses execution and waits for user input.\n async def wait_for_input(self, task_id: str):\n await self.lifecycle.wait_for_input(task_id)\n # #endregion wait_for_input\n\n # #region await_input [TYPE Function] [C:3]\n # @BRIEF Transition a task to AWAITING_INPUT state with input request.\n def await_input(self, task_id: str, input_request: dict[str, Any]) -> None:\n self.lifecycle.await_input(\n task_id, input_request,\n add_log_callback=self._add_log,\n )\n # #endregion await_input\n\n # #region resume_task_with_password [TYPE Function] [C:3]\n # @BRIEF Resume a task that is awaiting input with provided passwords.\n def resume_task_with_password(\n self, task_id: str, passwords: dict[str, str]\n ) -> None:\n self.lifecycle.resume_task_with_password(\n task_id, passwords,\n add_log_callback=self._add_log,\n )\n # #endregion resume_task_with_password\n\n # ── Dataset event delegates to JobLifecycle ──\n\n # #region subscribe_dataset_events [TYPE Function] [C:2]\n # @BRIEF Subscribe to dataset.updated events for an environment.\n async def subscribe_dataset_events(self, env_id: str) -> asyncio.Queue:\n return await self.lifecycle.subscribe_dataset_events(env_id)\n # #endregion subscribe_dataset_events\n\n # #region unsubscribe_dataset_events [TYPE Function] [C:2]\n # @BRIEF Unsubscribe from dataset.updated events.\n def unsubscribe_dataset_events(self, env_id: str, queue: asyncio.Queue):\n self.lifecycle.unsubscribe_dataset_events(env_id, queue)\n # #endregion unsubscribe_dataset_events\n# #endregion TaskManager\n" }, { "contract_id": "_make_add_log_callback", @@ -27668,96 +29031,53 @@ "contract_type": "Module", "file_path": "backend/src/core/utils/dataset_mapper.py", "start_line": 1, - "end_line": 225, + "end_line": 238, "tier": "TIER_1", "complexity": 1, "metadata": { - "LAYER": "Domain", - "PUBLIC_API": "DatasetMapper", - "PURPOSE": "Этот модуль отвечает за обновление метаданных (verbose_map) в датасетах Superset, извлекая их из PostgreSQL или XLSX-файлов." + "PURPOSE": "Этот модуль отвечает за обновление метаданных (verbose_name) в датасетах Superset," }, - "relations": [ - { - "source_id": "DatasetMapperModule", - "relation_type": "DEPENDS_ON", - "target_id": "backend.core.superset_client", - "target_ref": "backend.core.superset_client" - }, - { - "source_id": "DatasetMapperModule", - "relation_type": "DEPENDS_ON", - "target_id": "pandas", - "target_ref": "pandas" - }, - { - "source_id": "DatasetMapperModule", - "relation_type": "DEPENDS_ON", - "target_id": "psycopg2", - "target_ref": "psycopg2" - } - ], + "relations": [], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetMapperModule [TYPE Module] [SEMANTICS dataset, superset, dataset-mapper]\n#\n# @BRIEF Этот модуль отвечает за обновление метаданных (verbose_map) в датасетах Superset, извлекая их из PostgreSQL или XLSX-файлов.\n# @LAYER: Domain\n# @RELATION DEPENDS_ON -> backend.core.superset_client\n# @RELATION DEPENDS_ON -> pandas\n# @RELATION DEPENDS_ON -> psycopg2\n# @PUBLIC_API: DatasetMapper\nfrom typing import Any\n\nimport pandas as pd # type: ignore\nimport psycopg2 # type: ignore\n\nfrom ..logger import belief_scope, logger as app_logger\n\n\n# #region DatasetMapper [TYPE Class]\n# @BRIEF Класс для меппинга и обновления verbose_map в датасетах Superset.\nclass DatasetMapper:\n # #region __init__ [TYPE Function]\n # @PURPOSE: Initializes the mapper.\n # @POST: Объект DatasetMapper инициализирован.\n def __init__(self):\n pass\n # #endregion __init__\n # #region get_postgres_comments [TYPE Function]\n # @PURPOSE: Извлекает комментарии к колонкам из системного каталога PostgreSQL.\n # @PRE: db_config должен содержать валидные параметры подключения (host, port, user, password, dbname).\n # @PRE: table_name и table_schema должны быть строками.\n # @POST: Возвращается словарь, где ключи - имена колонок, значения - комментарии из БД.\n # @THROW: Exception - При ошибках подключения или выполнения запроса к БД.\n # @PARAM: db_config (Dict) - Конфигурация для подключения к БД.\n # @PARAM: table_name (str) - Имя таблицы.\n # @PARAM: table_schema (str) - Схема таблицы.\n # @RETURN: Dict[str, str] - Словарь с комментариями к колонкам.\n def get_postgres_comments(self, db_config: dict, table_name: str, table_schema: str) -> dict[str, str]:\n with belief_scope(\"Fetch comments from PostgreSQL\"):\n app_logger.info(\"[get_postgres_comments][Enter] Fetching comments from PostgreSQL for %s.%s.\", table_schema, table_name)\n query = f\"\"\"\n SELECT \n cols.column_name,\n CASE \n WHEN pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ) LIKE '%|%' THEN \n split_part(\n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ), \n '|', \n 1\n )\n ELSE \n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n )\n END AS column_comment\n FROM \n information_schema.columns cols \n WHERE cols.table_catalog = '{db_config.get('dbname')}' AND cols.table_name = '{table_name}' AND cols.table_schema = '{table_schema}';\n \"\"\"\n comments = {}\n try:\n with psycopg2.connect(**db_config) as conn, conn.cursor() as cursor:\n cursor.execute(query)\n for row in cursor.fetchall():\n if row[1]:\n comments[row[0]] = row[1]\n app_logger.info(\"[get_postgres_comments][Success] Fetched %d comments.\", len(comments))\n except Exception as e:\n app_logger.error(\"[get_postgres_comments][Failure] %s\", e, exc_info=True)\n raise\n return comments\n # #endregion get_postgres_comments\n # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает меппинги 'column_name' -> 'column_comment' из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с меппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с меппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения меппинга и обновления verbose_map датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_postgres_comments\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('postgres', 'excel', 'both').\n # @PARAM: postgres_config (Optional[Dict]) - Конфигурация для подключения к PostgreSQL.\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n # @PARAM: table_name (Optional[str]) - Имя таблицы в PostgreSQL.\n # @PARAM: table_schema (Optional[str]) - Схема таблицы в PostgreSQL.\n def run_mapping(self, superset_client: Any, dataset_id: int, source: str, postgres_config: dict | None = None, excel_path: str | None = None, table_name: str | None = None, table_schema: str | None = None):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source in ['postgres', 'both']:\n assert postgres_config and table_name and table_schema, \"Postgres config is required.\"\n mappings.update(self.get_postgres_comments(postgres_config, table_name, table_schema))\n if source in ['excel', 'both']:\n assert excel_path, \"Excel path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n if source not in ['postgres', 'excel', 'both']:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n# #endregion DatasetMapper\n# #endregion DatasetMapperModule\n" + "body": "# #region DatasetMapperModule [TYPE Module] [SEMANTICS dataset, superset, dataset-mapper, sqllab]\n#\n# @BRIEF Этот модуль отвечает за обновление метаданных (verbose_name) в датасетах Superset,\n# извлекая их из Superset SQL Lab (любая БД, подключённая к Superset) или XLSX-файлов.\n# @LAYER: Domain\n# @RELATION DEPENDS_ON -> backend.core.superset_client\n# @RELATION DEPENDS_ON -> pandas\n# @PUBLIC_API: DatasetMapper\nfrom typing import Any\n\nimport pandas as pd # type: ignore\n\nfrom ..logger import belief_scope, logger as app_logger\n\n\n# #region DatasetMapper [TYPE Class]\n# @BRIEF Класс для маппинга и обновления verbose_name в датасетах Superset.\nclass DatasetMapper:\n # #region __init__ [TYPE Function]\n # @PURPOSE: Initializes the mapper.\n # @POST: Объект DatasetMapper инициализирован.\n def __init__(self):\n pass\n # #endregion __init__\n\n # #region get_sqllab_mappings [TYPE Function]\n # @PURPOSE: Извлекает маппинги column_name -> verbose_name через SQL Lab Superset.\n # @PRE: sqllab_executor должен быть инициализирован с database_id.\n # @PRE: dataset_id должен существовать в Superset.\n # @POST: Возвращается словарь column_name -> verbose_name из результатов SQL-запроса.\n # Если sql_query не указан, строится запрос к information_schema.columns.\n # @PARAM: client (SupersetClient) - Авторизованный клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета (для получения table_name/schema).\n # @PARAM: sqllab_executor (SupersetSqlLabExecutor) - Исполнитель SQL Lab.\n # @PARAM: database_id (int) - ID базы данных в Superset.\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (должен вернуть column_name + verbose_name).\n # @RETURN: Dict[str, str] - Словарь column_name -> verbose_name.\n def get_sqllab_mappings(\n self,\n client: Any,\n dataset_id: int,\n sqllab_executor: Any,\n database_id: int,\n sql_query: str | None = None,\n ) -> dict[str, str]:\n with belief_scope(\"Fetch mappings via SQL Lab\"):\n # Получаем датасет из Superset, чтобы узнать table_name и schema\n dataset_response = client.get_dataset(dataset_id)\n dataset_data = dataset_response.get(\"result\", dataset_response)\n table_name = dataset_data.get(\"table_name\")\n table_schema = dataset_data.get(\"schema\") or \"public\"\n database_name = dataset_data.get(\"database\", {}).get(\"database_name\", \"\")\n\n app_logger.info(\n \"[get_sqllab_mappings] Dataset %d: %s.%s (db: %s)\",\n dataset_id, table_schema, table_name, database_name\n )\n\n # Если SQL-запрос не указан, строим дефолтный для information_schema\n if not sql_query:\n sql_query = (\n \"SELECT column_name, pg_catalog.col_description(\\n\"\n \" (quote_ident(table_schema) || '.' || quote_ident(table_name))::regclass::oid,\\n\"\n \" ordinal_position\\n\"\n \") AS verbose_name\\n\"\n f\"FROM information_schema.columns\\n\"\n f\"WHERE table_schema = '{table_schema}' AND table_name = '{table_name}';\\n\"\n )\n app_logger.info(\"[get_sqllab_mappings] Using default information_schema query for %s.%s\", table_schema, table_name)\n else:\n app_logger.info(\"[get_sqllab_mappings] Using custom SQL query\")\n\n # Выполняем запрос через SQL Lab\n app_logger.info(\"[get_sqllab_mappings] Executing SQL Lab query on database %d...\", database_id)\n result = sqllab_executor.execute_and_poll(sql_query, database_id)\n rows = result.get(\"results\") or result.get(\"data\") or result.get(\"result\", [])\n app_logger.info(\"[get_sqllab_mappings] SQL Lab returned %d rows\", len(rows))\n\n mappings: dict[str, str] = {}\n for row in rows:\n col_name = row.get(\"column_name\")\n verbose_name = row.get(\"verbose_name\")\n if col_name and verbose_name:\n mappings[col_name] = str(verbose_name)\n\n app_logger.info(\"[get_sqllab_mappings] Extracted %d mappings\", len(mappings))\n return mappings\n # #endregion get_sqllab_mappings\n\n # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает маппинги column_name -> verbose_name из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с маппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с маппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n\n # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения маппинга и обновления verbose_name датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_sqllab_mappings\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('sqllab' или 'excel').\n # @PARAM: sqllab_executor (Optional[Any]) - Исполнитель SQL Lab (для sqllab source).\n # @PARAM: database_id (Optional[int]) - ID базы данных Superset (для sqllab source).\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (для sqllab source).\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n def run_mapping(\n self,\n superset_client: Any,\n dataset_id: int,\n source: str,\n sqllab_executor: Any = None,\n database_id: int | None = None,\n sql_query: str | None = None,\n excel_path: str | None = None,\n ):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source == \"sqllab\":\n assert sqllab_executor and database_id, \"sqllab_executor and database_id are required for sqllab source.\"\n mappings.update(self.get_sqllab_mappings(superset_client, dataset_id, sqllab_executor, database_id, sql_query))\n elif source == \"excel\":\n assert excel_path, \"excel_path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n else:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n# #endregion DatasetMapper\n# #endregion DatasetMapperModule\n" }, { "contract_id": "DatasetMapper", "contract_type": "Class", "file_path": "backend/src/core/utils/dataset_mapper.py", - "start_line": 17, - "end_line": 224, + "start_line": 16, + "end_line": 237, "tier": "TIER_1", "complexity": 1, "metadata": { - "PURPOSE": "Класс для меппинга и обновления verbose_map в датасетах Superset." + "PURPOSE": "Класс для маппинга и обновления verbose_name в датасетах Superset." }, "relations": [], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DatasetMapper [TYPE Class]\n# @BRIEF Класс для меппинга и обновления verbose_map в датасетах Superset.\nclass DatasetMapper:\n # #region __init__ [TYPE Function]\n # @PURPOSE: Initializes the mapper.\n # @POST: Объект DatasetMapper инициализирован.\n def __init__(self):\n pass\n # #endregion __init__\n # #region get_postgres_comments [TYPE Function]\n # @PURPOSE: Извлекает комментарии к колонкам из системного каталога PostgreSQL.\n # @PRE: db_config должен содержать валидные параметры подключения (host, port, user, password, dbname).\n # @PRE: table_name и table_schema должны быть строками.\n # @POST: Возвращается словарь, где ключи - имена колонок, значения - комментарии из БД.\n # @THROW: Exception - При ошибках подключения или выполнения запроса к БД.\n # @PARAM: db_config (Dict) - Конфигурация для подключения к БД.\n # @PARAM: table_name (str) - Имя таблицы.\n # @PARAM: table_schema (str) - Схема таблицы.\n # @RETURN: Dict[str, str] - Словарь с комментариями к колонкам.\n def get_postgres_comments(self, db_config: dict, table_name: str, table_schema: str) -> dict[str, str]:\n with belief_scope(\"Fetch comments from PostgreSQL\"):\n app_logger.info(\"[get_postgres_comments][Enter] Fetching comments from PostgreSQL for %s.%s.\", table_schema, table_name)\n query = f\"\"\"\n SELECT \n cols.column_name,\n CASE \n WHEN pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ) LIKE '%|%' THEN \n split_part(\n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ), \n '|', \n 1\n )\n ELSE \n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n )\n END AS column_comment\n FROM \n information_schema.columns cols \n WHERE cols.table_catalog = '{db_config.get('dbname')}' AND cols.table_name = '{table_name}' AND cols.table_schema = '{table_schema}';\n \"\"\"\n comments = {}\n try:\n with psycopg2.connect(**db_config) as conn, conn.cursor() as cursor:\n cursor.execute(query)\n for row in cursor.fetchall():\n if row[1]:\n comments[row[0]] = row[1]\n app_logger.info(\"[get_postgres_comments][Success] Fetched %d comments.\", len(comments))\n except Exception as e:\n app_logger.error(\"[get_postgres_comments][Failure] %s\", e, exc_info=True)\n raise\n return comments\n # #endregion get_postgres_comments\n # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает меппинги 'column_name' -> 'column_comment' из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с меппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с меппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения меппинга и обновления verbose_map датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_postgres_comments\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('postgres', 'excel', 'both').\n # @PARAM: postgres_config (Optional[Dict]) - Конфигурация для подключения к PostgreSQL.\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n # @PARAM: table_name (Optional[str]) - Имя таблицы в PostgreSQL.\n # @PARAM: table_schema (Optional[str]) - Схема таблицы в PostgreSQL.\n def run_mapping(self, superset_client: Any, dataset_id: int, source: str, postgres_config: dict | None = None, excel_path: str | None = None, table_name: str | None = None, table_schema: str | None = None):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source in ['postgres', 'both']:\n assert postgres_config and table_name and table_schema, \"Postgres config is required.\"\n mappings.update(self.get_postgres_comments(postgres_config, table_name, table_schema))\n if source in ['excel', 'both']:\n assert excel_path, \"Excel path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n if source not in ['postgres', 'excel', 'both']:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n# #endregion DatasetMapper\n" + "body": "# #region DatasetMapper [TYPE Class]\n# @BRIEF Класс для маппинга и обновления verbose_name в датасетах Superset.\nclass DatasetMapper:\n # #region __init__ [TYPE Function]\n # @PURPOSE: Initializes the mapper.\n # @POST: Объект DatasetMapper инициализирован.\n def __init__(self):\n pass\n # #endregion __init__\n\n # #region get_sqllab_mappings [TYPE Function]\n # @PURPOSE: Извлекает маппинги column_name -> verbose_name через SQL Lab Superset.\n # @PRE: sqllab_executor должен быть инициализирован с database_id.\n # @PRE: dataset_id должен существовать в Superset.\n # @POST: Возвращается словарь column_name -> verbose_name из результатов SQL-запроса.\n # Если sql_query не указан, строится запрос к information_schema.columns.\n # @PARAM: client (SupersetClient) - Авторизованный клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета (для получения table_name/schema).\n # @PARAM: sqllab_executor (SupersetSqlLabExecutor) - Исполнитель SQL Lab.\n # @PARAM: database_id (int) - ID базы данных в Superset.\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (должен вернуть column_name + verbose_name).\n # @RETURN: Dict[str, str] - Словарь column_name -> verbose_name.\n def get_sqllab_mappings(\n self,\n client: Any,\n dataset_id: int,\n sqllab_executor: Any,\n database_id: int,\n sql_query: str | None = None,\n ) -> dict[str, str]:\n with belief_scope(\"Fetch mappings via SQL Lab\"):\n # Получаем датасет из Superset, чтобы узнать table_name и schema\n dataset_response = client.get_dataset(dataset_id)\n dataset_data = dataset_response.get(\"result\", dataset_response)\n table_name = dataset_data.get(\"table_name\")\n table_schema = dataset_data.get(\"schema\") or \"public\"\n database_name = dataset_data.get(\"database\", {}).get(\"database_name\", \"\")\n\n app_logger.info(\n \"[get_sqllab_mappings] Dataset %d: %s.%s (db: %s)\",\n dataset_id, table_schema, table_name, database_name\n )\n\n # Если SQL-запрос не указан, строим дефолтный для information_schema\n if not sql_query:\n sql_query = (\n \"SELECT column_name, pg_catalog.col_description(\\n\"\n \" (quote_ident(table_schema) || '.' || quote_ident(table_name))::regclass::oid,\\n\"\n \" ordinal_position\\n\"\n \") AS verbose_name\\n\"\n f\"FROM information_schema.columns\\n\"\n f\"WHERE table_schema = '{table_schema}' AND table_name = '{table_name}';\\n\"\n )\n app_logger.info(\"[get_sqllab_mappings] Using default information_schema query for %s.%s\", table_schema, table_name)\n else:\n app_logger.info(\"[get_sqllab_mappings] Using custom SQL query\")\n\n # Выполняем запрос через SQL Lab\n app_logger.info(\"[get_sqllab_mappings] Executing SQL Lab query on database %d...\", database_id)\n result = sqllab_executor.execute_and_poll(sql_query, database_id)\n rows = result.get(\"results\") or result.get(\"data\") or result.get(\"result\", [])\n app_logger.info(\"[get_sqllab_mappings] SQL Lab returned %d rows\", len(rows))\n\n mappings: dict[str, str] = {}\n for row in rows:\n col_name = row.get(\"column_name\")\n verbose_name = row.get(\"verbose_name\")\n if col_name and verbose_name:\n mappings[col_name] = str(verbose_name)\n\n app_logger.info(\"[get_sqllab_mappings] Extracted %d mappings\", len(mappings))\n return mappings\n # #endregion get_sqllab_mappings\n\n # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает маппинги column_name -> verbose_name из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с маппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с маппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n\n # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения маппинга и обновления verbose_name датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_sqllab_mappings\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('sqllab' или 'excel').\n # @PARAM: sqllab_executor (Optional[Any]) - Исполнитель SQL Lab (для sqllab source).\n # @PARAM: database_id (Optional[int]) - ID базы данных Superset (для sqllab source).\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (для sqllab source).\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n def run_mapping(\n self,\n superset_client: Any,\n dataset_id: int,\n source: str,\n sqllab_executor: Any = None,\n database_id: int | None = None,\n sql_query: str | None = None,\n excel_path: str | None = None,\n ):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source == \"sqllab\":\n assert sqllab_executor and database_id, \"sqllab_executor and database_id are required for sqllab source.\"\n mappings.update(self.get_sqllab_mappings(superset_client, dataset_id, sqllab_executor, database_id, sql_query))\n elif source == \"excel\":\n assert excel_path, \"excel_path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n else:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n# #endregion DatasetMapper\n" }, { - "contract_id": "get_postgres_comments", + "contract_id": "get_sqllab_mappings", "contract_type": "Function", "file_path": "backend/src/core/utils/dataset_mapper.py", "start_line": 26, - "end_line": 89, + "end_line": 88, "tier": "TIER_1", "complexity": 1, "metadata": { - "PARAM": "table_schema (str) - Схема таблицы.", - "POST": "Возвращается словарь, где ключи - имена колонок, значения - комментарии из БД.", - "PRE": "table_name и table_schema должны быть строками.", - "PURPOSE": "Извлекает комментарии к колонкам из системного каталога PostgreSQL.", - "RETURN": "Dict[str, str] - Словарь с комментариями к колонкам.", - "THROW": "Exception - При ошибках подключения или выполнения запроса к БД." + "POST": "Возвращается словарь column_name -> verbose_name из результатов SQL-запроса.", + "PRE": "dataset_id должен существовать в Superset.", + "PURPOSE": "Извлекает маппинги column_name -> verbose_name через SQL Lab Superset." }, "relations": [], - "schema_warnings": [ - { - "code": "unknown_tag", - "tag": "PARAM", - "message": "@PARAM is not defined in axiom_config.yaml tags", - "detail": null - }, - { - "code": "unknown_tag", - "tag": "RETURN", - "message": "@RETURN is not defined in axiom_config.yaml tags", - "detail": null - }, - { - "code": "unknown_tag", - "tag": "THROW", - "message": "@THROW is not defined in axiom_config.yaml tags", - "detail": null - } - ], + "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " # #region get_postgres_comments [TYPE Function]\n # @PURPOSE: Извлекает комментарии к колонкам из системного каталога PostgreSQL.\n # @PRE: db_config должен содержать валидные параметры подключения (host, port, user, password, dbname).\n # @PRE: table_name и table_schema должны быть строками.\n # @POST: Возвращается словарь, где ключи - имена колонок, значения - комментарии из БД.\n # @THROW: Exception - При ошибках подключения или выполнения запроса к БД.\n # @PARAM: db_config (Dict) - Конфигурация для подключения к БД.\n # @PARAM: table_name (str) - Имя таблицы.\n # @PARAM: table_schema (str) - Схема таблицы.\n # @RETURN: Dict[str, str] - Словарь с комментариями к колонкам.\n def get_postgres_comments(self, db_config: dict, table_name: str, table_schema: str) -> dict[str, str]:\n with belief_scope(\"Fetch comments from PostgreSQL\"):\n app_logger.info(\"[get_postgres_comments][Enter] Fetching comments from PostgreSQL for %s.%s.\", table_schema, table_name)\n query = f\"\"\"\n SELECT \n cols.column_name,\n CASE \n WHEN pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ) LIKE '%|%' THEN \n split_part(\n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n ), \n '|', \n 1\n )\n ELSE \n pg_catalog.col_description(\n (SELECT c.oid \n FROM pg_catalog.pg_class c \n JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace \n WHERE c.relname = cols.table_name \n AND n.nspname = cols.table_schema),\n cols.ordinal_position::int\n )\n END AS column_comment\n FROM \n information_schema.columns cols \n WHERE cols.table_catalog = '{db_config.get('dbname')}' AND cols.table_name = '{table_name}' AND cols.table_schema = '{table_schema}';\n \"\"\"\n comments = {}\n try:\n with psycopg2.connect(**db_config) as conn, conn.cursor() as cursor:\n cursor.execute(query)\n for row in cursor.fetchall():\n if row[1]:\n comments[row[0]] = row[1]\n app_logger.info(\"[get_postgres_comments][Success] Fetched %d comments.\", len(comments))\n except Exception as e:\n app_logger.error(\"[get_postgres_comments][Failure] %s\", e, exc_info=True)\n raise\n return comments\n # #endregion get_postgres_comments\n" + "body": " # #region get_sqllab_mappings [TYPE Function]\n # @PURPOSE: Извлекает маппинги column_name -> verbose_name через SQL Lab Superset.\n # @PRE: sqllab_executor должен быть инициализирован с database_id.\n # @PRE: dataset_id должен существовать в Superset.\n # @POST: Возвращается словарь column_name -> verbose_name из результатов SQL-запроса.\n # Если sql_query не указан, строится запрос к information_schema.columns.\n # @PARAM: client (SupersetClient) - Авторизованный клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета (для получения table_name/schema).\n # @PARAM: sqllab_executor (SupersetSqlLabExecutor) - Исполнитель SQL Lab.\n # @PARAM: database_id (int) - ID базы данных в Superset.\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (должен вернуть column_name + verbose_name).\n # @RETURN: Dict[str, str] - Словарь column_name -> verbose_name.\n def get_sqllab_mappings(\n self,\n client: Any,\n dataset_id: int,\n sqllab_executor: Any,\n database_id: int,\n sql_query: str | None = None,\n ) -> dict[str, str]:\n with belief_scope(\"Fetch mappings via SQL Lab\"):\n # Получаем датасет из Superset, чтобы узнать table_name и schema\n dataset_response = client.get_dataset(dataset_id)\n dataset_data = dataset_response.get(\"result\", dataset_response)\n table_name = dataset_data.get(\"table_name\")\n table_schema = dataset_data.get(\"schema\") or \"public\"\n database_name = dataset_data.get(\"database\", {}).get(\"database_name\", \"\")\n\n app_logger.info(\n \"[get_sqllab_mappings] Dataset %d: %s.%s (db: %s)\",\n dataset_id, table_schema, table_name, database_name\n )\n\n # Если SQL-запрос не указан, строим дефолтный для information_schema\n if not sql_query:\n sql_query = (\n \"SELECT column_name, pg_catalog.col_description(\\n\"\n \" (quote_ident(table_schema) || '.' || quote_ident(table_name))::regclass::oid,\\n\"\n \" ordinal_position\\n\"\n \") AS verbose_name\\n\"\n f\"FROM information_schema.columns\\n\"\n f\"WHERE table_schema = '{table_schema}' AND table_name = '{table_name}';\\n\"\n )\n app_logger.info(\"[get_sqllab_mappings] Using default information_schema query for %s.%s\", table_schema, table_name)\n else:\n app_logger.info(\"[get_sqllab_mappings] Using custom SQL query\")\n\n # Выполняем запрос через SQL Lab\n app_logger.info(\"[get_sqllab_mappings] Executing SQL Lab query on database %d...\", database_id)\n result = sqllab_executor.execute_and_poll(sql_query, database_id)\n rows = result.get(\"results\") or result.get(\"data\") or result.get(\"result\", [])\n app_logger.info(\"[get_sqllab_mappings] SQL Lab returned %d rows\", len(rows))\n\n mappings: dict[str, str] = {}\n for row in rows:\n col_name = row.get(\"column_name\")\n verbose_name = row.get(\"verbose_name\")\n if col_name and verbose_name:\n mappings[col_name] = str(verbose_name)\n\n app_logger.info(\"[get_sqllab_mappings] Extracted %d mappings\", len(mappings))\n return mappings\n # #endregion get_sqllab_mappings\n" }, { "contract_id": "load_excel_mappings", @@ -27769,10 +29089,10 @@ "complexity": 1, "metadata": { "PARAM": "file_path (str) - Путь к XLSX файлу.", - "POST": "Возвращается словарь с меппингами из файла.", + "POST": "Возвращается словарь с маппингами из файла.", "PRE": "file_path должен указывать на существующий XLSX файл.", - "PURPOSE": "Загружает меппинги 'column_name' -> 'column_comment' из XLSX файла.", - "RETURN": "Dict[str, str] - Словарь с меппингами.", + "PURPOSE": "Загружает маппинги column_name -> verbose_name из XLSX файла.", + "RETURN": "Dict[str, str] - Словарь с маппингами.", "THROW": "Exception - При ошибках чтения файла или парсинга." }, "relations": [], @@ -27798,28 +29118,28 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает меппинги 'column_name' -> 'column_comment' из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с меппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с меппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n" + "body": " # #region load_excel_mappings [TYPE Function]\n # @PURPOSE: Загружает маппинги column_name -> verbose_name из XLSX файла.\n # @PRE: file_path должен указывать на существующий XLSX файл.\n # @POST: Возвращается словарь с маппингами из файла.\n # @THROW: Exception - При ошибках чтения файла или парсинга.\n # @PARAM: file_path (str) - Путь к XLSX файлу.\n # @RETURN: Dict[str, str] - Словарь с маппингами.\n def load_excel_mappings(self, file_path: str) -> dict[str, str]:\n with belief_scope(\"Load mappings from Excel\"):\n app_logger.info(\"[load_excel_mappings][Enter] Loading mappings from %s.\", file_path)\n try:\n df = pd.read_excel(file_path)\n mappings = df.set_index('column_name')['verbose_name'].to_dict()\n app_logger.info(\"[load_excel_mappings][Success] Loaded %d mappings.\", len(mappings))\n return mappings\n except Exception as e:\n app_logger.error(\"[load_excel_mappings][Failure] %s\", e, exc_info=True)\n raise\n # #endregion load_excel_mappings\n" }, { "contract_id": "run_mapping", "contract_type": "Function", "file_path": "backend/src/core/utils/dataset_mapper.py", - "start_line": 109, - "end_line": 223, + "start_line": 110, + "end_line": 236, "tier": "TIER_1", "complexity": 1, "metadata": { - "PARAM": "table_schema (Optional[str]) - Схема таблицы в PostgreSQL.", + "PARAM": "excel_path (Optional[str]) - Путь к XLSX файлу.", "POST": "Если найдены изменения, датасет в Superset обновлен через API.", "PRE": "dataset_id должен быть существующим ID в Superset.", - "PURPOSE": "Основная функция для выполнения меппинга и обновления verbose_map датасета в Superset." + "PURPOSE": "Основная функция для выполнения маппинга и обновления verbose_name датасета в Superset." }, "relations": [ { "source_id": "run_mapping", "relation_type": "CALLS", - "target_id": "self.get_postgres_comments", - "target_ref": "self.get_postgres_comments" + "target_id": "self.get_sqllab_mappings", + "target_ref": "self.get_sqllab_mappings" }, { "source_id": "run_mapping", @@ -27850,7 +29170,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения меппинга и обновления verbose_map датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_postgres_comments\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('postgres', 'excel', 'both').\n # @PARAM: postgres_config (Optional[Dict]) - Конфигурация для подключения к PostgreSQL.\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n # @PARAM: table_name (Optional[str]) - Имя таблицы в PostgreSQL.\n # @PARAM: table_schema (Optional[str]) - Схема таблицы в PostgreSQL.\n def run_mapping(self, superset_client: Any, dataset_id: int, source: str, postgres_config: dict | None = None, excel_path: str | None = None, table_name: str | None = None, table_schema: str | None = None):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source in ['postgres', 'both']:\n assert postgres_config and table_name and table_schema, \"Postgres config is required.\"\n mappings.update(self.get_postgres_comments(postgres_config, table_name, table_schema))\n if source in ['excel', 'both']:\n assert excel_path, \"Excel path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n if source not in ['postgres', 'excel', 'both']:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n" + "body": " # #region run_mapping [TYPE Function]\n # @PURPOSE: Основная функция для выполнения маппинга и обновления verbose_name датасета в Superset.\n # @PRE: superset_client должен быть авторизован.\n # @PRE: dataset_id должен быть существующим ID в Superset.\n # @POST: Если найдены изменения, датасет в Superset обновлен через API.\n # @RELATION: CALLS -> self.get_sqllab_mappings\n # @RELATION: CALLS -> self.load_excel_mappings\n # @RELATION: CALLS -> superset_client.get_dataset\n # @RELATION: CALLS -> superset_client.update_dataset\n # @PARAM: superset_client (Any) - Клиент Superset.\n # @PARAM: dataset_id (int) - ID датасета для обновления.\n # @PARAM: source (str) - Источник данных ('sqllab' или 'excel').\n # @PARAM: sqllab_executor (Optional[Any]) - Исполнитель SQL Lab (для sqllab source).\n # @PARAM: database_id (Optional[int]) - ID базы данных Superset (для sqllab source).\n # @PARAM: sql_query (Optional[str]) - Произвольный SQL-запрос (для sqllab source).\n # @PARAM: excel_path (Optional[str]) - Путь к XLSX файлу.\n def run_mapping(\n self,\n superset_client: Any,\n dataset_id: int,\n source: str,\n sqllab_executor: Any = None,\n database_id: int | None = None,\n sql_query: str | None = None,\n excel_path: str | None = None,\n ):\n with belief_scope(f\"Run dataset mapping for ID {dataset_id}\"):\n app_logger.info(\"[run_mapping][Enter] Starting dataset mapping for ID %d from source '%s'.\", dataset_id, source)\n mappings: dict[str, str] = {}\n\n try:\n if source == \"sqllab\":\n assert sqllab_executor and database_id, \"sqllab_executor and database_id are required for sqllab source.\"\n mappings.update(self.get_sqllab_mappings(superset_client, dataset_id, sqllab_executor, database_id, sql_query))\n elif source == \"excel\":\n assert excel_path, \"excel_path is required.\"\n mappings.update(self.load_excel_mappings(excel_path))\n else:\n app_logger.error(\"[run_mapping][Failure] Invalid source: %s.\", source)\n return\n\n dataset_response = superset_client.get_dataset(dataset_id)\n dataset_data = dataset_response['result']\n\n original_columns = dataset_data.get('columns', [])\n updated_columns = []\n changes_made = False\n for column in original_columns:\n col_name = column.get('column_name')\n\n new_column = {\n \"column_name\": col_name,\n \"id\": column.get(\"id\"),\n \"advanced_data_type\": column.get(\"advanced_data_type\"),\n \"description\": column.get(\"description\"),\n \"expression\": column.get(\"expression\"),\n \"extra\": column.get(\"extra\"),\n \"filterable\": column.get(\"filterable\"),\n \"groupby\": column.get(\"groupby\"),\n \"is_active\": column.get(\"is_active\"),\n \"is_dttm\": column.get(\"is_dttm\"),\n \"python_date_format\": column.get(\"python_date_format\"),\n \"type\": column.get(\"type\"),\n \"uuid\": column.get(\"uuid\"),\n \"verbose_name\": column.get(\"verbose_name\"),\n }\n\n new_column = {k: v for k, v in new_column.items() if v is not None}\n if col_name in mappings:\n mapping_value = mappings[col_name]\n if isinstance(mapping_value, str) and new_column.get('verbose_name') != mapping_value:\n new_column['verbose_name'] = mapping_value\n changes_made = True\n\n updated_columns.append(new_column)\n\n updated_metrics = []\n for metric in dataset_data.get(\"metrics\", []):\n new_metric = {\n \"id\": metric.get(\"id\"),\n \"metric_name\": metric.get(\"metric_name\"),\n \"expression\": metric.get(\"expression\"),\n \"verbose_name\": metric.get(\"verbose_name\"),\n \"description\": metric.get(\"description\"),\n \"d3format\": metric.get(\"d3format\"),\n \"currency\": metric.get(\"currency\"),\n \"extra\": metric.get(\"extra\"),\n \"warning_text\": metric.get(\"warning_text\"),\n \"metric_type\": metric.get(\"metric_type\"),\n \"uuid\": metric.get(\"uuid\"),\n }\n updated_metrics.append({k: v for k, v in new_metric.items() if v is not None})\n\n if changes_made:\n payload_for_update = {\n \"database_id\": dataset_data.get(\"database\", {}).get(\"id\"),\n \"table_name\": dataset_data.get(\"table_name\"),\n \"schema\": dataset_data.get(\"schema\"),\n \"columns\": updated_columns,\n \"owners\": [owner[\"id\"] for owner in dataset_data.get(\"owners\", [])],\n \"metrics\": updated_metrics,\n \"extra\": dataset_data.get(\"extra\"),\n \"description\": dataset_data.get(\"description\"),\n \"sql\": dataset_data.get(\"sql\"),\n \"cache_timeout\": dataset_data.get(\"cache_timeout\"),\n \"catalog\": dataset_data.get(\"catalog\"),\n \"default_endpoint\": dataset_data.get(\"default_endpoint\"),\n \"external_url\": dataset_data.get(\"external_url\"),\n \"fetch_values_predicate\": dataset_data.get(\"fetch_values_predicate\"),\n \"filter_select_enabled\": dataset_data.get(\"filter_select_enabled\"),\n \"is_managed_externally\": dataset_data.get(\"is_managed_externally\"),\n \"is_sqllab_view\": dataset_data.get(\"is_sqllab_view\"),\n \"main_dttm_col\": dataset_data.get(\"main_dttm_col\"),\n \"normalize_columns\": dataset_data.get(\"normalize_columns\"),\n \"offset\": dataset_data.get(\"offset\"),\n \"template_params\": dataset_data.get(\"template_params\"),\n }\n\n payload_for_update = {k: v for k, v in payload_for_update.items() if v is not None}\n superset_client.update_dataset(dataset_id, payload_for_update)\n app_logger.info(\"[run_mapping][Success] Dataset %d columns' verbose_name updated.\", dataset_id)\n else:\n app_logger.info(\"[run_mapping][State] No changes in columns' verbose_name, skipping update.\")\n except (AssertionError, FileNotFoundError, Exception) as e:\n app_logger.error(\"[run_mapping][Failure] %s\", e, exc_info=True)\n return\n # #endregion run_mapping\n" }, { "contract_id": "FileIO", @@ -31556,51 +32876,6 @@ "tier_source": "AutoCalculated", "body": "# #region NotificationConfig [TYPE Class]\n# @BRIEF Stores persisted provider-level notification configuration and encrypted credentials metadata.\n# @PRE: SQLAlchemy declarative Base is initialized and uuid generation is available at instance creation time.\n# @POST: ORM table 'notification_configs' exposes id, type, name, credentials, is_active, created_at, updated_at fields with declared constraints/defaults.\n# @SIDE_EFFECT: Registers ORM mapping metadata during module import; may generate UUID values for new entity instances.\n# @DATA_CONTRACT: Input -> persistence row {id:str, type:str, name:str, credentials:json, is_active:bool, created_at:datetime, updated_at:datetime}; Output -> NotificationConfig ORM entity.\nclass NotificationConfig(Base):\n __tablename__ = \"notification_configs\"\n\n id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))\n type = Column(String, nullable=False) # SMTP, SLACK, TELEGRAM\n name = Column(String, nullable=False)\n credentials = Column(JSON, nullable=False) # Encrypted connection details\n is_active = Column(Boolean, default=True)\n created_at = Column(DateTime(timezone=True), server_default=func.now())\n updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())\n# #endregion NotificationConfig\n" }, - { - "contract_id": "ConnectionModels", - "contract_type": "Module", - "file_path": "backend/src/models/connection.py", - "start_line": 1, - "end_line": 34, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "COMPLEXITY": 1, - "INVARIANT": "All primary keys are UUID strings.", - "LAYER": "Domain", - "PURPOSE": "Defines the database schema for external database connection configurations." - }, - "relations": [ - { - "source_id": "ConnectionModels", - "relation_type": "DEPENDS_ON", - "target_id": "sqlalchemy", - "target_ref": "sqlalchemy" - } - ], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ConnectionModels [C:1] [TYPE Module] [SEMANTICS sqlalchemy, connection, model, schema, connection-config]\n#\n# @BRIEF Defines the database schema for external database connection configurations.\n# @LAYER: Domain\n# @RELATION DEPENDS_ON -> sqlalchemy\n#\n# @INVARIANT: All primary keys are UUID strings.\n\nimport uuid\n\nfrom sqlalchemy import Column, DateTime, Integer, String\nfrom sqlalchemy.sql import func\n\nfrom .mapping import Base\n\n\n# #region ConnectionConfig [C:1] [TYPE Class]\n# @BRIEF Stores credentials for external databases used for column mapping.\nclass ConnectionConfig(Base):\n __tablename__ = \"connection_configs\"\n\n id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))\n name = Column(String, nullable=False)\n type = Column(String, nullable=False) # e.g., \"postgres\"\n host = Column(String, nullable=True)\n port = Column(Integer, nullable=True)\n database = Column(String, nullable=True)\n username = Column(String, nullable=True)\n password = Column(String, nullable=True) # Encrypted/Obfuscated password\n created_at = Column(DateTime(timezone=True), server_default=func.now())\n updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())\n# #endregion ConnectionConfig\n\n# #endregion ConnectionModels\n" - }, - { - "contract_id": "ConnectionConfig", - "contract_type": "Class", - "file_path": "backend/src/models/connection.py", - "start_line": 17, - "end_line": 32, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "COMPLEXITY": 1, - "PURPOSE": "Stores credentials for external databases used for column mapping." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "# #region ConnectionConfig [C:1] [TYPE Class]\n# @BRIEF Stores credentials for external databases used for column mapping.\nclass ConnectionConfig(Base):\n __tablename__ = \"connection_configs\"\n\n id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))\n name = Column(String, nullable=False)\n type = Column(String, nullable=False) # e.g., \"postgres\"\n host = Column(String, nullable=True)\n port = Column(Integer, nullable=True)\n database = Column(String, nullable=True)\n username = Column(String, nullable=True)\n password = Column(String, nullable=True) # Encrypted/Obfuscated password\n created_at = Column(DateTime(timezone=True), server_default=func.now())\n updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())\n# #endregion ConnectionConfig\n" - }, { "contract_id": "DashboardModels", "contract_type": "Module", @@ -33952,7 +35227,7 @@ "contract_type": "Module", "file_path": "backend/src/models/llm.py", "start_line": 1, - "end_line": 70, + "end_line": 73, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -33991,31 +35266,38 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region LlmModels [C:3] [TYPE Module] [SEMANTICS sqlalchemy, llm, model, schema, validate, provider]\n# @BRIEF SQLAlchemy models for LLM provider configuration and validation results.\n# @LAYER: Domain\n# @RELATION INHERITS_FROM -> MappingModels:Base\n\nfrom datetime import datetime\nimport uuid\n\nfrom sqlalchemy import JSON, Boolean, Column, DateTime, String, Text, Time\n\nfrom .mapping import Base\n\n\ndef generate_uuid():\n return str(uuid.uuid4())\n\n# #region ValidationPolicy [TYPE Class]\n# @BRIEF Defines a scheduled rule for validating a group of dashboards within an execution window.\nclass ValidationPolicy(Base):\n __tablename__ = \"validation_policies\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n name = Column(String, nullable=False)\n environment_id = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n dashboard_ids = Column(JSON, nullable=False) # Array of dashboard IDs\n schedule_days = Column(JSON, nullable=False) # Array of integers (0-6)\n window_start = Column(Time, nullable=False)\n window_end = Column(Time, nullable=False)\n notify_owners = Column(Boolean, default=True)\n custom_channels = Column(JSON, nullable=True) # List of external channels\n alert_condition = Column(String, default=\"FAIL_ONLY\") # FAIL_ONLY, WARN_AND_FAIL, ALWAYS\n created_at = Column(DateTime, default=datetime.utcnow)\n updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)\n# #endregion ValidationPolicy\n\n# #region LLMProvider [TYPE Class]\n# @BRIEF SQLAlchemy model for LLM provider configuration.\nclass LLMProvider(Base):\n __tablename__ = \"llm_providers\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n provider_type = Column(String, nullable=False) # openai, openrouter, kilo\n name = Column(String, nullable=False)\n base_url = Column(String, nullable=False)\n api_key = Column(String, nullable=False) # Should be encrypted\n default_model = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n is_multimodal = Column(Boolean, default=False)\n created_at = Column(DateTime, default=datetime.utcnow)\n# #endregion LLMProvider\n\n# #region ValidationRecord [TYPE Class]\n# @BRIEF SQLAlchemy model for dashboard validation history.\nclass ValidationRecord(Base):\n __tablename__ = \"llm_validation_results\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n task_id = Column(String, nullable=True, index=True) # Reference to TaskRecord\n dashboard_id = Column(String, nullable=False, index=True)\n environment_id = Column(String, nullable=True, index=True)\n timestamp = Column(DateTime, default=datetime.utcnow)\n status = Column(String, nullable=False) # PASS, WARN, FAIL, UNKNOWN\n screenshot_path = Column(String, nullable=True)\n issues = Column(JSON, nullable=False)\n summary = Column(Text, nullable=False)\n raw_response = Column(Text, nullable=True)\n# #endregion ValidationRecord\n\n# #endregion LlmModels\n" + "body": "# #region LlmModels [C:3] [TYPE Module] [SEMANTICS sqlalchemy, llm, model, schema, validate, provider]\n# @BRIEF SQLAlchemy models for LLM provider configuration and validation results.\n# @LAYER: Domain\n# @RELATION INHERITS_FROM -> MappingModels:Base\n\nfrom datetime import datetime\nimport uuid\n\nfrom sqlalchemy import JSON, Boolean, Column, DateTime, String, Text, Time\n\nfrom .mapping import Base\n\n\ndef generate_uuid():\n return str(uuid.uuid4())\n\n# #region ValidationPolicy [TYPE Class]\n# @BRIEF Defines a scheduled rule for validating a group of dashboards within an execution window.\n# @RELATION DEPENDS_ON -> [LLMProvider]\nclass ValidationPolicy(Base):\n __tablename__ = \"validation_policies\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n name = Column(String, nullable=False)\n environment_id = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n dashboard_ids = Column(JSON, nullable=False) # Array of dashboard IDs\n provider_id = Column(String, nullable=True) # Reference to LLMProvider.id\n schedule_days = Column(JSON, nullable=False) # Array of integers (0-6)\n window_start = Column(Time, nullable=False)\n window_end = Column(Time, nullable=False)\n notify_owners = Column(Boolean, default=True)\n custom_channels = Column(JSON, nullable=True) # List of external channels\n alert_condition = Column(String, default=\"FAIL_ONLY\") # FAIL_ONLY, WARN_AND_FAIL, ALWAYS\n created_at = Column(DateTime, default=datetime.utcnow)\n updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)\n# #endregion ValidationPolicy\n\n# #region LLMProvider [TYPE Class]\n# @BRIEF SQLAlchemy model for LLM provider configuration.\nclass LLMProvider(Base):\n __tablename__ = \"llm_providers\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n provider_type = Column(String, nullable=False) # openai, openrouter, kilo\n name = Column(String, nullable=False)\n base_url = Column(String, nullable=False)\n api_key = Column(String, nullable=False) # Should be encrypted\n default_model = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n is_multimodal = Column(Boolean, default=False)\n created_at = Column(DateTime, default=datetime.utcnow)\n# #endregion LLMProvider\n\n# #region ValidationRecord [TYPE Class]\n# @BRIEF SQLAlchemy model for dashboard validation history.\nclass ValidationRecord(Base):\n __tablename__ = \"llm_validation_results\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n task_id = Column(String, nullable=True, index=True) # Reference to TaskRecord\n policy_id = Column(String, nullable=True, index=True) # Reference to ValidationPolicy.id\n dashboard_id = Column(String, nullable=False, index=True)\n environment_id = Column(String, nullable=True, index=True)\n timestamp = Column(DateTime, default=datetime.utcnow)\n status = Column(String, nullable=False) # PASS, WARN, FAIL, UNKNOWN\n screenshot_path = Column(String, nullable=True)\n issues = Column(JSON, nullable=False)\n summary = Column(Text, nullable=False)\n raw_response = Column(Text, nullable=True)\n# #endregion ValidationRecord\n\n# #endregion LlmModels\n" }, { "contract_id": "ValidationPolicy", "contract_type": "Class", "file_path": "backend/src/models/llm.py", "start_line": 17, - "end_line": 35, + "end_line": 37, "tier": "TIER_1", "complexity": 1, "metadata": { "PURPOSE": "Defines a scheduled rule for validating a group of dashboards within an execution window." }, - "relations": [], + "relations": [ + { + "source_id": "ValidationPolicy", + "relation_type": "DEPENDS_ON", + "target_id": "LLMProvider", + "target_ref": "[LLMProvider]" + } + ], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region ValidationPolicy [TYPE Class]\n# @BRIEF Defines a scheduled rule for validating a group of dashboards within an execution window.\nclass ValidationPolicy(Base):\n __tablename__ = \"validation_policies\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n name = Column(String, nullable=False)\n environment_id = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n dashboard_ids = Column(JSON, nullable=False) # Array of dashboard IDs\n schedule_days = Column(JSON, nullable=False) # Array of integers (0-6)\n window_start = Column(Time, nullable=False)\n window_end = Column(Time, nullable=False)\n notify_owners = Column(Boolean, default=True)\n custom_channels = Column(JSON, nullable=True) # List of external channels\n alert_condition = Column(String, default=\"FAIL_ONLY\") # FAIL_ONLY, WARN_AND_FAIL, ALWAYS\n created_at = Column(DateTime, default=datetime.utcnow)\n updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)\n# #endregion ValidationPolicy\n" + "body": "# #region ValidationPolicy [TYPE Class]\n# @BRIEF Defines a scheduled rule for validating a group of dashboards within an execution window.\n# @RELATION DEPENDS_ON -> [LLMProvider]\nclass ValidationPolicy(Base):\n __tablename__ = \"validation_policies\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n name = Column(String, nullable=False)\n environment_id = Column(String, nullable=False)\n is_active = Column(Boolean, default=True)\n dashboard_ids = Column(JSON, nullable=False) # Array of dashboard IDs\n provider_id = Column(String, nullable=True) # Reference to LLMProvider.id\n schedule_days = Column(JSON, nullable=False) # Array of integers (0-6)\n window_start = Column(Time, nullable=False)\n window_end = Column(Time, nullable=False)\n notify_owners = Column(Boolean, default=True)\n custom_channels = Column(JSON, nullable=True) # List of external channels\n alert_condition = Column(String, default=\"FAIL_ONLY\") # FAIL_ONLY, WARN_AND_FAIL, ALWAYS\n created_at = Column(DateTime, default=datetime.utcnow)\n updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)\n# #endregion ValidationPolicy\n" }, { "contract_id": "LLMProvider", "contract_type": "Class", "file_path": "backend/src/models/llm.py", - "start_line": 37, - "end_line": 51, + "start_line": 39, + "end_line": 53, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -34031,8 +35313,8 @@ "contract_id": "ValidationRecord", "contract_type": "Class", "file_path": "backend/src/models/llm.py", - "start_line": 53, - "end_line": 68, + "start_line": 55, + "end_line": 71, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -34042,7 +35324,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region ValidationRecord [TYPE Class]\n# @BRIEF SQLAlchemy model for dashboard validation history.\nclass ValidationRecord(Base):\n __tablename__ = \"llm_validation_results\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n task_id = Column(String, nullable=True, index=True) # Reference to TaskRecord\n dashboard_id = Column(String, nullable=False, index=True)\n environment_id = Column(String, nullable=True, index=True)\n timestamp = Column(DateTime, default=datetime.utcnow)\n status = Column(String, nullable=False) # PASS, WARN, FAIL, UNKNOWN\n screenshot_path = Column(String, nullable=True)\n issues = Column(JSON, nullable=False)\n summary = Column(Text, nullable=False)\n raw_response = Column(Text, nullable=True)\n# #endregion ValidationRecord\n" + "body": "# #region ValidationRecord [TYPE Class]\n# @BRIEF SQLAlchemy model for dashboard validation history.\nclass ValidationRecord(Base):\n __tablename__ = \"llm_validation_results\"\n\n id = Column(String, primary_key=True, default=generate_uuid)\n task_id = Column(String, nullable=True, index=True) # Reference to TaskRecord\n policy_id = Column(String, nullable=True, index=True) # Reference to ValidationPolicy.id\n dashboard_id = Column(String, nullable=False, index=True)\n environment_id = Column(String, nullable=True, index=True)\n timestamp = Column(DateTime, default=datetime.utcnow)\n status = Column(String, nullable=False) # PASS, WARN, FAIL, UNKNOWN\n screenshot_path = Column(String, nullable=True)\n issues = Column(JSON, nullable=False)\n summary = Column(Text, nullable=False)\n raw_response = Column(Text, nullable=True)\n# #endregion ValidationRecord\n" }, { "contract_id": "MappingModels", @@ -35472,7 +36754,7 @@ "contract_type": "Module", "file_path": "backend/src/plugins/llm_analysis/plugin.py", "start_line": 1, - "end_line": 482, + "end_line": 483, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -35517,7 +36799,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region LLMAnalysisPlugin [C:5] [TYPE Module] [SEMANTICS llm, analysis, dashboard, validation, documentation]\n# @BRIEF Implements DashboardValidationPlugin and DocumentationPlugin.\n# @LAYER: Plugin\n# @RELATION INHERITS -> [PluginBase]\n# @RELATION CALLS -> [ScreenshotService]\n# @RELATION CALLS -> [LLMClient]\n# @RELATION CALLS -> [LLMProviderService]\n# @RELATION USES -> TaskContext\n# @INVARIANT: All LLM interactions must be executed as asynchronous tasks.\n# @DATA_CONTRACT: AnalysisRequest -> AnalysisResult\n\nfrom datetime import datetime, timedelta\nimport json\nimport os\nfrom typing import Any\n\nfrom ...core.database import SessionLocal\nfrom ...core.logger import belief_scope, logger\nfrom ...core.plugin_base import PluginBase\nfrom ...core.superset_client import SupersetClient\nfrom ...core.task_manager.context import TaskContext\nfrom ...models.llm import ValidationPolicy, ValidationRecord\nfrom ...services.llm_prompt_templates import (\n DEFAULT_LLM_PROMPTS,\n normalize_llm_settings,\n render_prompt,\n)\nfrom ...services.llm_provider import LLMProviderService\nfrom ...services.notifications.service import NotificationService\nfrom .models import DetectedIssue, LLMProviderType, ValidationResult, ValidationStatus\nfrom .service import LLMClient, ScreenshotService\n\n\n# #region _is_masked_or_invalid_api_key [TYPE Function]\n# @BRIEF Guards against placeholder or malformed API keys in runtime.\n# @PRE: value may be None.\n# @POST: Returns True when value cannot be used for authenticated provider calls.\ndef _is_masked_or_invalid_api_key(value: str | None) -> bool:\n key = (value or \"\").strip()\n if not key:\n return True\n if key in {\"********\", \"EMPTY_OR_NONE\"}:\n return True\n # Most provider tokens are significantly longer; short values are almost always placeholders.\n return len(key) < 16\n# #endregion _is_masked_or_invalid_api_key\n\n# #region _json_safe_value [TYPE Function]\n# @BRIEF Recursively normalize payload values for JSON serialization.\n# @PRE: value may be nested dict/list with datetime values.\n# @POST: datetime values are converted to ISO strings.\ndef _json_safe_value(value: Any):\n if isinstance(value, datetime):\n return value.isoformat()\n if isinstance(value, dict):\n return {k: _json_safe_value(v) for k, v in value.items()}\n if isinstance(value, list):\n return [_json_safe_value(v) for v in value]\n return value\n# #endregion _json_safe_value\n\n# #region DashboardValidationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dashboard health analysis using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DashboardValidationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_dashboard_validation\"\n\n @property\n def name(self) -> str:\n return \"Dashboard LLM Validation\"\n\n @property\n def description(self) -> str:\n return \"Automated dashboard health analysis using multimodal LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dashboard_id\": {\"type\": \"string\", \"title\": \"Dashboard ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dashboard_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DashboardValidationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dashboard validation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Validation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dashboard_id, environment_id, and provider_id.\n # @POST: Returns a dictionary with validation results and persists them to the database.\n # @SIDE_EFFECT: Captures a screenshot, calls LLM API, and writes to the database.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n validation_started_at = datetime.utcnow()\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n screenshot_log = log.with_source(\"screenshot\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dashboard_id_raw = params.get(\"dashboard_id\")\n dashboard_id = str(dashboard_id_raw) if dashboard_id_raw is not None else None\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n llm_log.debug(f\" Is Active: {db_provider.is_active}\")\n llm_log.debug(f\" Is Multimodal: {db_provider.is_multimodal}\")\n if not bool(db_provider.is_multimodal):\n raise ValueError(\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Capture Screenshot\n screenshot_service = ScreenshotService(env)\n\n storage_root = config_mgr.get_config().settings.storage.root_path\n screenshots_dir = os.path.join(storage_root, \"screenshots\")\n os.makedirs(screenshots_dir, exist_ok=True)\n\n filename = f\"{dashboard_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png\"\n screenshot_path = os.path.join(screenshots_dir, filename)\n\n screenshot_started_at = datetime.utcnow()\n screenshot_log.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n await screenshot_service.capture_dashboard(dashboard_id, screenshot_path)\n screenshot_log.debug(f\"Screenshot saved to: {screenshot_path}\")\n screenshot_finished_at = datetime.utcnow()\n\n # 4. Fetch Logs (from Environment /api/v1/log/)\n logs = []\n logs_fetch_started_at = datetime.utcnow()\n try:\n client = SupersetClient(env)\n\n # Calculate time window (last 24 hours)\n start_time = (datetime.now() - timedelta(hours=24)).isoformat()\n\n # Construct filter for logs\n # Note: We filter by dashboard_id matching the object\n query_params = {\n \"filters\": [\n {\"col\": \"dashboard_id\", \"opr\": \"eq\", \"value\": dashboard_id},\n {\"col\": \"dttm\", \"opr\": \"gt\", \"value\": start_time}\n ],\n \"order_column\": \"dttm\",\n \"order_direction\": \"desc\",\n \"page\": 0,\n \"page_size\": 100\n }\n\n superset_log.debug(f\"Fetching logs for dashboard {dashboard_id}\")\n response = client.network.request(\n method=\"GET\",\n endpoint=\"/log/\",\n params={\"q\": json.dumps(query_params)}\n )\n\n if isinstance(response, dict) and \"result\" in response:\n for item in response[\"result\"]:\n action = item.get(\"action\", \"unknown\")\n dttm = item.get(\"dttm\", \"\")\n details = item.get(\"json\", \"\")\n logs.append(f\"[{dttm}] {action}: {details}\")\n\n if not logs:\n logs = [\"No recent logs found for this dashboard.\"]\n superset_log.debug(\"No recent logs found for this dashboard\")\n\n except Exception as e:\n superset_log.warning(f\"Failed to fetch logs from environment: {e}\")\n logs = [f\"Error fetching remote logs: {e!s}\"]\n logs_fetch_finished_at = datetime.utcnow()\n\n # 5. Analyze with LLM\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_log.info(f\"Analyzing dashboard {dashboard_id} with LLM\")\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n dashboard_prompt = llm_settings[\"prompts\"].get(\n \"dashboard_validation_prompt\",\n DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n )\n llm_call_started_at = datetime.utcnow()\n analysis = await llm_client.analyze_dashboard(\n screenshot_path,\n logs,\n prompt_template=dashboard_prompt,\n )\n llm_call_finished_at = datetime.utcnow()\n\n # Log analysis summary to task logs for better visibility\n llm_log.info(f\"[ANALYSIS_SUMMARY] Status: {analysis['status']}\")\n llm_log.info(f\"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}\")\n if analysis.get(\"issues\"):\n for i, issue in enumerate(analysis[\"issues\"]):\n llm_log.info(f\"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})\")\n\n # 6. Persist Result\n validation_result = ValidationResult(\n dashboard_id=dashboard_id,\n status=ValidationStatus(analysis[\"status\"]),\n summary=analysis[\"summary\"],\n issues=[DetectedIssue(**issue) for issue in analysis[\"issues\"]],\n screenshot_path=screenshot_path,\n raw_response=str(analysis)\n )\n validation_finished_at = datetime.utcnow()\n\n result_payload = _json_safe_value(validation_result.dict())\n result_payload[\"screenshot_paths\"] = [screenshot_path]\n result_payload[\"logs_sent_to_llm\"] = logs\n result_payload[\"logs_sent_count\"] = len(logs)\n result_payload[\"prompt_template\"] = dashboard_prompt\n result_payload[\"provider\"] = {\n \"id\": db_provider.id,\n \"name\": db_provider.name,\n \"type\": db_provider.provider_type,\n \"base_url\": db_provider.base_url,\n \"model\": db_provider.default_model,\n }\n result_payload[\"environment_id\"] = env_id\n result_payload[\"timings\"] = {\n \"validation_started_at\": validation_started_at.isoformat(),\n \"validation_finished_at\": validation_finished_at.isoformat(),\n \"validation_duration_ms\": int((validation_finished_at - validation_started_at).total_seconds() * 1000),\n \"screenshot_started_at\": screenshot_started_at.isoformat(),\n \"screenshot_finished_at\": screenshot_finished_at.isoformat(),\n \"screenshot_duration_ms\": int((screenshot_finished_at - screenshot_started_at).total_seconds() * 1000),\n \"logs_fetch_started_at\": logs_fetch_started_at.isoformat(),\n \"logs_fetch_finished_at\": logs_fetch_finished_at.isoformat(),\n \"logs_fetch_duration_ms\": int((logs_fetch_finished_at - logs_fetch_started_at).total_seconds() * 1000),\n \"llm_call_started_at\": llm_call_started_at.isoformat(),\n \"llm_call_finished_at\": llm_call_finished_at.isoformat(),\n \"llm_call_duration_ms\": int((llm_call_finished_at - llm_call_started_at).total_seconds() * 1000),\n }\n\n db_record = ValidationRecord(\n task_id=context.task_id if context else None,\n dashboard_id=validation_result.dashboard_id,\n environment_id=env_id,\n status=validation_result.status.value,\n summary=validation_result.summary,\n issues=[issue.dict() for issue in validation_result.issues],\n screenshot_path=validation_result.screenshot_path,\n raw_response=json.dumps(result_payload, ensure_ascii=False)\n )\n db.add(db_record)\n db.commit()\n\n # 7. Notification on failure (US1 / FR-015)\n try:\n policy_id = params.get(\"policy_id\")\n policy = None\n if policy_id:\n policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first()\n\n notification_service = NotificationService(db, config_mgr)\n await notification_service.dispatch_report(\n record=db_record,\n policy=policy,\n background_tasks=getattr(context, \"background_tasks\", None) if context else None\n )\n except Exception as e:\n log.error(f\"Failed to dispatch notifications: {e}\")\n\n # Final log to ensure all analysis is visible in task logs\n log.info(f\"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}\")\n\n return result_payload\n\n finally:\n db.close()\n # endregion DashboardValidationPlugin.execute\n# #endregion DashboardValidationPlugin\n\n# #region DocumentationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dataset documentation using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DocumentationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_documentation\"\n\n @property\n def name(self) -> str:\n return \"Dataset LLM Documentation\"\n\n @property\n def description(self) -> str:\n return \"Automated dataset and column documentation using LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dataset_id\": {\"type\": \"string\", \"title\": \"Dataset ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dataset_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DocumentationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dataset documentation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Documentation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dataset_id, environment_id, and provider_id.\n # @POST: Returns generated documentation and updates the dataset in Superset.\n # @SIDE_EFFECT: Calls LLM API and updates dataset metadata in Superset.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dataset_id = params.get(\"dataset_id\")\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Fetch Metadata (US2 / T024)\n from ...core.superset_client import SupersetClient\n client = SupersetClient(env)\n\n superset_log.debug(f\"Fetching dataset {dataset_id}\")\n dataset = client.get_dataset(int(dataset_id))\n\n # Extract columns and existing descriptions\n columns_data = []\n for col in dataset.get(\"columns\", []):\n columns_data.append({\n \"name\": col.get(\"column_name\"),\n \"type\": col.get(\"type\"),\n \"description\": col.get(\"description\")\n })\n superset_log.debug(f\"Extracted {len(columns_data)} columns from dataset\")\n\n # 4. Construct Prompt & Analyze (US2 / T025)\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n documentation_prompt = llm_settings[\"prompts\"].get(\n \"documentation_prompt\",\n DEFAULT_LLM_PROMPTS[\"documentation_prompt\"],\n )\n prompt = render_prompt(\n documentation_prompt,\n {\n \"dataset_name\": dataset.get(\"table_name\") or \"\",\n \"columns_json\": json.dumps(columns_data, ensure_ascii=False),\n },\n )\n\n # Using a generic chat completion for text-only US2\n llm_log.info(f\"Generating documentation for dataset {dataset_id}\")\n doc_result = await llm_client.get_json_completion([{\"role\": \"user\", \"content\": prompt}])\n\n # 5. Update Metadata (US2 / T026)\n update_payload = {\n \"description\": doc_result[\"dataset_description\"],\n \"columns\": []\n }\n\n # Map generated descriptions back to column IDs\n for col_doc in doc_result[\"column_descriptions\"]:\n for col in dataset.get(\"columns\", []):\n if col.get(\"column_name\") == col_doc[\"name\"]:\n update_payload[\"columns\"].append({\n \"id\": col.get(\"id\"),\n \"description\": col_doc[\"description\"]\n })\n\n superset_log.info(f\"Updating dataset {dataset_id} with generated documentation\")\n client.update_dataset(int(dataset_id), update_payload)\n\n log.info(f\"Documentation completed for dataset {dataset_id}\")\n\n return doc_result\n\n finally:\n db.close()\n # endregion DocumentationPlugin.execute\n# #endregion DocumentationPlugin\n\n# #endregion LLMAnalysisPlugin\n" + "body": "# #region LLMAnalysisPlugin [C:5] [TYPE Module] [SEMANTICS llm, analysis, dashboard, validation, documentation]\n# @BRIEF Implements DashboardValidationPlugin and DocumentationPlugin.\n# @LAYER: Plugin\n# @RELATION INHERITS -> [PluginBase]\n# @RELATION CALLS -> [ScreenshotService]\n# @RELATION CALLS -> [LLMClient]\n# @RELATION CALLS -> [LLMProviderService]\n# @RELATION USES -> TaskContext\n# @INVARIANT: All LLM interactions must be executed as asynchronous tasks.\n# @DATA_CONTRACT: AnalysisRequest -> AnalysisResult\n\nfrom datetime import datetime, timedelta\nimport json\nimport os\nfrom typing import Any\n\nfrom ...core.database import SessionLocal\nfrom ...core.logger import belief_scope, logger\nfrom ...core.plugin_base import PluginBase\nfrom ...core.superset_client import SupersetClient\nfrom ...core.task_manager.context import TaskContext\nfrom ...models.llm import ValidationPolicy, ValidationRecord\nfrom ...services.llm_prompt_templates import (\n DEFAULT_LLM_PROMPTS,\n normalize_llm_settings,\n render_prompt,\n)\nfrom ...services.llm_provider import LLMProviderService\nfrom ...services.notifications.service import NotificationService\nfrom .models import DetectedIssue, LLMProviderType, ValidationResult, ValidationStatus\nfrom .service import LLMClient, ScreenshotService\n\n\n# #region _is_masked_or_invalid_api_key [TYPE Function]\n# @BRIEF Guards against placeholder or malformed API keys in runtime.\n# @PRE: value may be None.\n# @POST: Returns True when value cannot be used for authenticated provider calls.\ndef _is_masked_or_invalid_api_key(value: str | None) -> bool:\n key = (value or \"\").strip()\n if not key:\n return True\n if key in {\"********\", \"EMPTY_OR_NONE\"}:\n return True\n # Most provider tokens are significantly longer; short values are almost always placeholders.\n return len(key) < 16\n# #endregion _is_masked_or_invalid_api_key\n\n# #region _json_safe_value [TYPE Function]\n# @BRIEF Recursively normalize payload values for JSON serialization.\n# @PRE: value may be nested dict/list with datetime values.\n# @POST: datetime values are converted to ISO strings.\ndef _json_safe_value(value: Any):\n if isinstance(value, datetime):\n return value.isoformat()\n if isinstance(value, dict):\n return {k: _json_safe_value(v) for k, v in value.items()}\n if isinstance(value, list):\n return [_json_safe_value(v) for v in value]\n return value\n# #endregion _json_safe_value\n\n# #region DashboardValidationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dashboard health analysis using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DashboardValidationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_dashboard_validation\"\n\n @property\n def name(self) -> str:\n return \"Dashboard LLM Validation\"\n\n @property\n def description(self) -> str:\n return \"Automated dashboard health analysis using multimodal LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dashboard_id\": {\"type\": \"string\", \"title\": \"Dashboard ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dashboard_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DashboardValidationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dashboard validation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Validation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dashboard_id, environment_id, and provider_id.\n # @POST: Returns a dictionary with validation results and persists them to the database.\n # @SIDE_EFFECT: Captures a screenshot, calls LLM API, and writes to the database.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n validation_started_at = datetime.utcnow()\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n screenshot_log = log.with_source(\"screenshot\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dashboard_id_raw = params.get(\"dashboard_id\")\n dashboard_id = str(dashboard_id_raw) if dashboard_id_raw is not None else None\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n llm_log.debug(f\" Is Active: {db_provider.is_active}\")\n llm_log.debug(f\" Is Multimodal: {db_provider.is_multimodal}\")\n if not bool(db_provider.is_multimodal):\n raise ValueError(\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Capture Screenshot\n screenshot_service = ScreenshotService(env)\n\n storage_root = config_mgr.get_config().settings.storage.root_path\n screenshots_dir = os.path.join(storage_root, \"screenshots\")\n os.makedirs(screenshots_dir, exist_ok=True)\n\n filename = f\"{dashboard_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png\"\n screenshot_path = os.path.join(screenshots_dir, filename)\n\n screenshot_started_at = datetime.utcnow()\n screenshot_log.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n await screenshot_service.capture_dashboard(dashboard_id, screenshot_path)\n screenshot_log.debug(f\"Screenshot saved to: {screenshot_path}\")\n screenshot_finished_at = datetime.utcnow()\n\n # 4. Fetch Logs (from Environment /api/v1/log/)\n logs = []\n logs_fetch_started_at = datetime.utcnow()\n try:\n client = SupersetClient(env)\n\n # Calculate time window (last 24 hours)\n start_time = (datetime.now() - timedelta(hours=24)).isoformat()\n\n # Construct filter for logs\n # Note: We filter by dashboard_id matching the object\n query_params = {\n \"filters\": [\n {\"col\": \"dashboard_id\", \"opr\": \"eq\", \"value\": dashboard_id},\n {\"col\": \"dttm\", \"opr\": \"gt\", \"value\": start_time}\n ],\n \"order_column\": \"dttm\",\n \"order_direction\": \"desc\",\n \"page\": 0,\n \"page_size\": 100\n }\n\n superset_log.debug(f\"Fetching logs for dashboard {dashboard_id}\")\n response = client.network.request(\n method=\"GET\",\n endpoint=\"/log/\",\n params={\"q\": json.dumps(query_params)}\n )\n\n if isinstance(response, dict) and \"result\" in response:\n for item in response[\"result\"]:\n action = item.get(\"action\", \"unknown\")\n dttm = item.get(\"dttm\", \"\")\n details = item.get(\"json\", \"\")\n logs.append(f\"[{dttm}] {action}: {details}\")\n\n if not logs:\n logs = [\"No recent logs found for this dashboard.\"]\n superset_log.debug(\"No recent logs found for this dashboard\")\n\n except Exception as e:\n superset_log.warning(f\"Failed to fetch logs from environment: {e}\")\n logs = [f\"Error fetching remote logs: {e!s}\"]\n logs_fetch_finished_at = datetime.utcnow()\n\n # 5. Analyze with LLM\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_log.info(f\"Analyzing dashboard {dashboard_id} with LLM\")\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n dashboard_prompt = llm_settings[\"prompts\"].get(\n \"dashboard_validation_prompt\",\n DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n )\n llm_call_started_at = datetime.utcnow()\n analysis = await llm_client.analyze_dashboard(\n screenshot_path,\n logs,\n prompt_template=dashboard_prompt,\n )\n llm_call_finished_at = datetime.utcnow()\n\n # Log analysis summary to task logs for better visibility\n llm_log.info(f\"[ANALYSIS_SUMMARY] Status: {analysis['status']}\")\n llm_log.info(f\"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}\")\n if analysis.get(\"issues\"):\n for i, issue in enumerate(analysis[\"issues\"]):\n llm_log.info(f\"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})\")\n\n # 6. Persist Result\n validation_result = ValidationResult(\n dashboard_id=dashboard_id,\n status=ValidationStatus(analysis[\"status\"]),\n summary=analysis[\"summary\"],\n issues=[DetectedIssue(**issue) for issue in analysis[\"issues\"]],\n screenshot_path=screenshot_path,\n raw_response=str(analysis)\n )\n validation_finished_at = datetime.utcnow()\n\n result_payload = _json_safe_value(validation_result.dict())\n result_payload[\"screenshot_paths\"] = [screenshot_path]\n result_payload[\"logs_sent_to_llm\"] = logs\n result_payload[\"logs_sent_count\"] = len(logs)\n result_payload[\"prompt_template\"] = dashboard_prompt\n result_payload[\"provider\"] = {\n \"id\": db_provider.id,\n \"name\": db_provider.name,\n \"type\": db_provider.provider_type,\n \"base_url\": db_provider.base_url,\n \"model\": db_provider.default_model,\n }\n result_payload[\"environment_id\"] = env_id\n result_payload[\"timings\"] = {\n \"validation_started_at\": validation_started_at.isoformat(),\n \"validation_finished_at\": validation_finished_at.isoformat(),\n \"validation_duration_ms\": int((validation_finished_at - validation_started_at).total_seconds() * 1000),\n \"screenshot_started_at\": screenshot_started_at.isoformat(),\n \"screenshot_finished_at\": screenshot_finished_at.isoformat(),\n \"screenshot_duration_ms\": int((screenshot_finished_at - screenshot_started_at).total_seconds() * 1000),\n \"logs_fetch_started_at\": logs_fetch_started_at.isoformat(),\n \"logs_fetch_finished_at\": logs_fetch_finished_at.isoformat(),\n \"logs_fetch_duration_ms\": int((logs_fetch_finished_at - logs_fetch_started_at).total_seconds() * 1000),\n \"llm_call_started_at\": llm_call_started_at.isoformat(),\n \"llm_call_finished_at\": llm_call_finished_at.isoformat(),\n \"llm_call_duration_ms\": int((llm_call_finished_at - llm_call_started_at).total_seconds() * 1000),\n }\n\n db_record = ValidationRecord(\n task_id=context.task_id if context else None,\n policy_id=params.get(\"policy_id\"),\n dashboard_id=validation_result.dashboard_id,\n environment_id=env_id,\n status=validation_result.status.value,\n summary=validation_result.summary,\n issues=[issue.dict() for issue in validation_result.issues],\n screenshot_path=validation_result.screenshot_path,\n raw_response=json.dumps(result_payload, ensure_ascii=False)\n )\n db.add(db_record)\n db.commit()\n\n # 7. Notification on failure (US1 / FR-015)\n try:\n policy_id = params.get(\"policy_id\")\n policy = None\n if policy_id:\n policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first()\n\n notification_service = NotificationService(db, config_mgr)\n await notification_service.dispatch_report(\n record=db_record,\n policy=policy,\n background_tasks=getattr(context, \"background_tasks\", None) if context else None\n )\n except Exception as e:\n log.error(f\"Failed to dispatch notifications: {e}\")\n\n # Final log to ensure all analysis is visible in task logs\n log.info(f\"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}\")\n\n return result_payload\n\n finally:\n db.close()\n # endregion DashboardValidationPlugin.execute\n# #endregion DashboardValidationPlugin\n\n# #region DocumentationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dataset documentation using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DocumentationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_documentation\"\n\n @property\n def name(self) -> str:\n return \"Dataset LLM Documentation\"\n\n @property\n def description(self) -> str:\n return \"Automated dataset and column documentation using LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dataset_id\": {\"type\": \"string\", \"title\": \"Dataset ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dataset_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DocumentationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dataset documentation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Documentation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dataset_id, environment_id, and provider_id.\n # @POST: Returns generated documentation and updates the dataset in Superset.\n # @SIDE_EFFECT: Calls LLM API and updates dataset metadata in Superset.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dataset_id = params.get(\"dataset_id\")\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Fetch Metadata (US2 / T024)\n from ...core.superset_client import SupersetClient\n client = SupersetClient(env)\n\n superset_log.debug(f\"Fetching dataset {dataset_id}\")\n dataset = client.get_dataset(int(dataset_id))\n\n # Extract columns and existing descriptions\n columns_data = []\n for col in dataset.get(\"columns\", []):\n columns_data.append({\n \"name\": col.get(\"column_name\"),\n \"type\": col.get(\"type\"),\n \"description\": col.get(\"description\")\n })\n superset_log.debug(f\"Extracted {len(columns_data)} columns from dataset\")\n\n # 4. Construct Prompt & Analyze (US2 / T025)\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n documentation_prompt = llm_settings[\"prompts\"].get(\n \"documentation_prompt\",\n DEFAULT_LLM_PROMPTS[\"documentation_prompt\"],\n )\n prompt = render_prompt(\n documentation_prompt,\n {\n \"dataset_name\": dataset.get(\"table_name\") or \"\",\n \"columns_json\": json.dumps(columns_data, ensure_ascii=False),\n },\n )\n\n # Using a generic chat completion for text-only US2\n llm_log.info(f\"Generating documentation for dataset {dataset_id}\")\n doc_result = await llm_client.get_json_completion([{\"role\": \"user\", \"content\": prompt}])\n\n # 5. Update Metadata (US2 / T026)\n update_payload = {\n \"description\": doc_result[\"dataset_description\"],\n \"columns\": []\n }\n\n # Map generated descriptions back to column IDs\n for col_doc in doc_result[\"column_descriptions\"]:\n for col in dataset.get(\"columns\", []):\n if col.get(\"column_name\") == col_doc[\"name\"]:\n update_payload[\"columns\"].append({\n \"id\": col.get(\"id\"),\n \"description\": col_doc[\"description\"]\n })\n\n superset_log.info(f\"Updating dataset {dataset_id} with generated documentation\")\n client.update_dataset(int(dataset_id), update_payload)\n\n log.info(f\"Documentation completed for dataset {dataset_id}\")\n\n return doc_result\n\n finally:\n db.close()\n # endregion DocumentationPlugin.execute\n# #endregion DocumentationPlugin\n\n# #endregion LLMAnalysisPlugin\n" }, { "contract_id": "_is_masked_or_invalid_api_key", @@ -35562,7 +36844,7 @@ "contract_type": "Class", "file_path": "backend/src/plugins/llm_analysis/plugin.py", "start_line": 62, - "end_line": 324, + "end_line": 325, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -35579,14 +36861,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region DashboardValidationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dashboard health analysis using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DashboardValidationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_dashboard_validation\"\n\n @property\n def name(self) -> str:\n return \"Dashboard LLM Validation\"\n\n @property\n def description(self) -> str:\n return \"Automated dashboard health analysis using multimodal LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dashboard_id\": {\"type\": \"string\", \"title\": \"Dashboard ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dashboard_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DashboardValidationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dashboard validation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Validation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dashboard_id, environment_id, and provider_id.\n # @POST: Returns a dictionary with validation results and persists them to the database.\n # @SIDE_EFFECT: Captures a screenshot, calls LLM API, and writes to the database.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n validation_started_at = datetime.utcnow()\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n screenshot_log = log.with_source(\"screenshot\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dashboard_id_raw = params.get(\"dashboard_id\")\n dashboard_id = str(dashboard_id_raw) if dashboard_id_raw is not None else None\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n llm_log.debug(f\" Is Active: {db_provider.is_active}\")\n llm_log.debug(f\" Is Multimodal: {db_provider.is_multimodal}\")\n if not bool(db_provider.is_multimodal):\n raise ValueError(\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Capture Screenshot\n screenshot_service = ScreenshotService(env)\n\n storage_root = config_mgr.get_config().settings.storage.root_path\n screenshots_dir = os.path.join(storage_root, \"screenshots\")\n os.makedirs(screenshots_dir, exist_ok=True)\n\n filename = f\"{dashboard_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png\"\n screenshot_path = os.path.join(screenshots_dir, filename)\n\n screenshot_started_at = datetime.utcnow()\n screenshot_log.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n await screenshot_service.capture_dashboard(dashboard_id, screenshot_path)\n screenshot_log.debug(f\"Screenshot saved to: {screenshot_path}\")\n screenshot_finished_at = datetime.utcnow()\n\n # 4. Fetch Logs (from Environment /api/v1/log/)\n logs = []\n logs_fetch_started_at = datetime.utcnow()\n try:\n client = SupersetClient(env)\n\n # Calculate time window (last 24 hours)\n start_time = (datetime.now() - timedelta(hours=24)).isoformat()\n\n # Construct filter for logs\n # Note: We filter by dashboard_id matching the object\n query_params = {\n \"filters\": [\n {\"col\": \"dashboard_id\", \"opr\": \"eq\", \"value\": dashboard_id},\n {\"col\": \"dttm\", \"opr\": \"gt\", \"value\": start_time}\n ],\n \"order_column\": \"dttm\",\n \"order_direction\": \"desc\",\n \"page\": 0,\n \"page_size\": 100\n }\n\n superset_log.debug(f\"Fetching logs for dashboard {dashboard_id}\")\n response = client.network.request(\n method=\"GET\",\n endpoint=\"/log/\",\n params={\"q\": json.dumps(query_params)}\n )\n\n if isinstance(response, dict) and \"result\" in response:\n for item in response[\"result\"]:\n action = item.get(\"action\", \"unknown\")\n dttm = item.get(\"dttm\", \"\")\n details = item.get(\"json\", \"\")\n logs.append(f\"[{dttm}] {action}: {details}\")\n\n if not logs:\n logs = [\"No recent logs found for this dashboard.\"]\n superset_log.debug(\"No recent logs found for this dashboard\")\n\n except Exception as e:\n superset_log.warning(f\"Failed to fetch logs from environment: {e}\")\n logs = [f\"Error fetching remote logs: {e!s}\"]\n logs_fetch_finished_at = datetime.utcnow()\n\n # 5. Analyze with LLM\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_log.info(f\"Analyzing dashboard {dashboard_id} with LLM\")\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n dashboard_prompt = llm_settings[\"prompts\"].get(\n \"dashboard_validation_prompt\",\n DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n )\n llm_call_started_at = datetime.utcnow()\n analysis = await llm_client.analyze_dashboard(\n screenshot_path,\n logs,\n prompt_template=dashboard_prompt,\n )\n llm_call_finished_at = datetime.utcnow()\n\n # Log analysis summary to task logs for better visibility\n llm_log.info(f\"[ANALYSIS_SUMMARY] Status: {analysis['status']}\")\n llm_log.info(f\"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}\")\n if analysis.get(\"issues\"):\n for i, issue in enumerate(analysis[\"issues\"]):\n llm_log.info(f\"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})\")\n\n # 6. Persist Result\n validation_result = ValidationResult(\n dashboard_id=dashboard_id,\n status=ValidationStatus(analysis[\"status\"]),\n summary=analysis[\"summary\"],\n issues=[DetectedIssue(**issue) for issue in analysis[\"issues\"]],\n screenshot_path=screenshot_path,\n raw_response=str(analysis)\n )\n validation_finished_at = datetime.utcnow()\n\n result_payload = _json_safe_value(validation_result.dict())\n result_payload[\"screenshot_paths\"] = [screenshot_path]\n result_payload[\"logs_sent_to_llm\"] = logs\n result_payload[\"logs_sent_count\"] = len(logs)\n result_payload[\"prompt_template\"] = dashboard_prompt\n result_payload[\"provider\"] = {\n \"id\": db_provider.id,\n \"name\": db_provider.name,\n \"type\": db_provider.provider_type,\n \"base_url\": db_provider.base_url,\n \"model\": db_provider.default_model,\n }\n result_payload[\"environment_id\"] = env_id\n result_payload[\"timings\"] = {\n \"validation_started_at\": validation_started_at.isoformat(),\n \"validation_finished_at\": validation_finished_at.isoformat(),\n \"validation_duration_ms\": int((validation_finished_at - validation_started_at).total_seconds() * 1000),\n \"screenshot_started_at\": screenshot_started_at.isoformat(),\n \"screenshot_finished_at\": screenshot_finished_at.isoformat(),\n \"screenshot_duration_ms\": int((screenshot_finished_at - screenshot_started_at).total_seconds() * 1000),\n \"logs_fetch_started_at\": logs_fetch_started_at.isoformat(),\n \"logs_fetch_finished_at\": logs_fetch_finished_at.isoformat(),\n \"logs_fetch_duration_ms\": int((logs_fetch_finished_at - logs_fetch_started_at).total_seconds() * 1000),\n \"llm_call_started_at\": llm_call_started_at.isoformat(),\n \"llm_call_finished_at\": llm_call_finished_at.isoformat(),\n \"llm_call_duration_ms\": int((llm_call_finished_at - llm_call_started_at).total_seconds() * 1000),\n }\n\n db_record = ValidationRecord(\n task_id=context.task_id if context else None,\n dashboard_id=validation_result.dashboard_id,\n environment_id=env_id,\n status=validation_result.status.value,\n summary=validation_result.summary,\n issues=[issue.dict() for issue in validation_result.issues],\n screenshot_path=validation_result.screenshot_path,\n raw_response=json.dumps(result_payload, ensure_ascii=False)\n )\n db.add(db_record)\n db.commit()\n\n # 7. Notification on failure (US1 / FR-015)\n try:\n policy_id = params.get(\"policy_id\")\n policy = None\n if policy_id:\n policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first()\n\n notification_service = NotificationService(db, config_mgr)\n await notification_service.dispatch_report(\n record=db_record,\n policy=policy,\n background_tasks=getattr(context, \"background_tasks\", None) if context else None\n )\n except Exception as e:\n log.error(f\"Failed to dispatch notifications: {e}\")\n\n # Final log to ensure all analysis is visible in task logs\n log.info(f\"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}\")\n\n return result_payload\n\n finally:\n db.close()\n # endregion DashboardValidationPlugin.execute\n# #endregion DashboardValidationPlugin\n" + "body": "# #region DashboardValidationPlugin [TYPE Class]\n# @BRIEF Plugin for automated dashboard health analysis using LLMs.\n# @RELATION IMPLEMENTS -> backend.src.core.plugin_base.PluginBase\nclass DashboardValidationPlugin(PluginBase):\n @property\n def id(self) -> str:\n return \"llm_dashboard_validation\"\n\n @property\n def name(self) -> str:\n return \"Dashboard LLM Validation\"\n\n @property\n def description(self) -> str:\n return \"Automated dashboard health analysis using multimodal LLMs.\"\n\n @property\n def version(self) -> str:\n return \"1.0.0\"\n\n def get_schema(self) -> dict[str, Any]:\n return {\n \"type\": \"object\",\n \"properties\": {\n \"dashboard_id\": {\"type\": \"string\", \"title\": \"Dashboard ID\"},\n \"environment_id\": {\"type\": \"string\", \"title\": \"Environment ID\"},\n \"provider_id\": {\"type\": \"string\", \"title\": \"LLM Provider ID\"}\n },\n \"required\": [\"dashboard_id\", \"environment_id\", \"provider_id\"]\n }\n\n # region DashboardValidationPlugin.execute [TYPE Function]\n # @PURPOSE: Executes the dashboard validation task with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Validation parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: params contains dashboard_id, environment_id, and provider_id.\n # @POST: Returns a dictionary with validation results and persists them to the database.\n # @SIDE_EFFECT: Captures a screenshot, calls LLM API, and writes to the database.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None):\n with belief_scope(\"execute\", f\"plugin_id={self.id}\"):\n validation_started_at = datetime.utcnow()\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n llm_log = log.with_source(\"llm\") if context else log\n screenshot_log = log.with_source(\"screenshot\") if context else log\n superset_log = log.with_source(\"superset_api\") if context else log\n\n log.info(f\"Executing {self.name} with params: {params}\")\n\n dashboard_id_raw = params.get(\"dashboard_id\")\n dashboard_id = str(dashboard_id_raw) if dashboard_id_raw is not None else None\n env_id = params.get(\"environment_id\")\n provider_id = params.get(\"provider_id\")\n\n db = SessionLocal()\n try:\n # 1. Get Environment\n from ...dependencies import get_config_manager\n config_mgr = get_config_manager()\n env = config_mgr.get_environment(env_id)\n if not env:\n log.error(f\"Environment {env_id} not found\")\n raise ValueError(f\"Environment {env_id} not found\")\n\n # 2. Get LLM Provider\n llm_service = LLMProviderService(db)\n db_provider = llm_service.get_provider(provider_id)\n if not db_provider:\n log.error(f\"LLM Provider {provider_id} not found\")\n raise ValueError(f\"LLM Provider {provider_id} not found\")\n\n llm_log.debug(\"Retrieved provider config:\")\n llm_log.debug(f\" Provider ID: {db_provider.id}\")\n llm_log.debug(f\" Provider Name: {db_provider.name}\")\n llm_log.debug(f\" Provider Type: {db_provider.provider_type}\")\n llm_log.debug(f\" Base URL: {db_provider.base_url}\")\n llm_log.debug(f\" Default Model: {db_provider.default_model}\")\n llm_log.debug(f\" Is Active: {db_provider.is_active}\")\n llm_log.debug(f\" Is Multimodal: {db_provider.is_multimodal}\")\n if not bool(db_provider.is_multimodal):\n raise ValueError(\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n\n api_key = llm_service.get_decrypted_api_key(provider_id)\n llm_log.debug(f\"API Key decrypted (first 8 chars): {api_key[:8] if api_key and len(api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n\n # Check if API key was successfully decrypted\n if _is_masked_or_invalid_api_key(api_key):\n raise ValueError(\n f\"Invalid API key for provider {provider_id}. \"\n \"Please open LLM provider settings and save a real API key (not masked placeholder).\"\n )\n\n # 3. Capture Screenshot\n screenshot_service = ScreenshotService(env)\n\n storage_root = config_mgr.get_config().settings.storage.root_path\n screenshots_dir = os.path.join(storage_root, \"screenshots\")\n os.makedirs(screenshots_dir, exist_ok=True)\n\n filename = f\"{dashboard_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.png\"\n screenshot_path = os.path.join(screenshots_dir, filename)\n\n screenshot_started_at = datetime.utcnow()\n screenshot_log.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n await screenshot_service.capture_dashboard(dashboard_id, screenshot_path)\n screenshot_log.debug(f\"Screenshot saved to: {screenshot_path}\")\n screenshot_finished_at = datetime.utcnow()\n\n # 4. Fetch Logs (from Environment /api/v1/log/)\n logs = []\n logs_fetch_started_at = datetime.utcnow()\n try:\n client = SupersetClient(env)\n\n # Calculate time window (last 24 hours)\n start_time = (datetime.now() - timedelta(hours=24)).isoformat()\n\n # Construct filter for logs\n # Note: We filter by dashboard_id matching the object\n query_params = {\n \"filters\": [\n {\"col\": \"dashboard_id\", \"opr\": \"eq\", \"value\": dashboard_id},\n {\"col\": \"dttm\", \"opr\": \"gt\", \"value\": start_time}\n ],\n \"order_column\": \"dttm\",\n \"order_direction\": \"desc\",\n \"page\": 0,\n \"page_size\": 100\n }\n\n superset_log.debug(f\"Fetching logs for dashboard {dashboard_id}\")\n response = client.network.request(\n method=\"GET\",\n endpoint=\"/log/\",\n params={\"q\": json.dumps(query_params)}\n )\n\n if isinstance(response, dict) and \"result\" in response:\n for item in response[\"result\"]:\n action = item.get(\"action\", \"unknown\")\n dttm = item.get(\"dttm\", \"\")\n details = item.get(\"json\", \"\")\n logs.append(f\"[{dttm}] {action}: {details}\")\n\n if not logs:\n logs = [\"No recent logs found for this dashboard.\"]\n superset_log.debug(\"No recent logs found for this dashboard\")\n\n except Exception as e:\n superset_log.warning(f\"Failed to fetch logs from environment: {e}\")\n logs = [f\"Error fetching remote logs: {e!s}\"]\n logs_fetch_finished_at = datetime.utcnow()\n\n # 5. Analyze with LLM\n llm_client = LLMClient(\n provider_type=LLMProviderType(db_provider.provider_type),\n api_key=api_key,\n base_url=db_provider.base_url,\n default_model=db_provider.default_model\n )\n\n llm_log.info(f\"Analyzing dashboard {dashboard_id} with LLM\")\n llm_settings = normalize_llm_settings(config_mgr.get_config().settings.llm)\n dashboard_prompt = llm_settings[\"prompts\"].get(\n \"dashboard_validation_prompt\",\n DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n )\n llm_call_started_at = datetime.utcnow()\n analysis = await llm_client.analyze_dashboard(\n screenshot_path,\n logs,\n prompt_template=dashboard_prompt,\n )\n llm_call_finished_at = datetime.utcnow()\n\n # Log analysis summary to task logs for better visibility\n llm_log.info(f\"[ANALYSIS_SUMMARY] Status: {analysis['status']}\")\n llm_log.info(f\"[ANALYSIS_SUMMARY] Summary: {analysis['summary']}\")\n if analysis.get(\"issues\"):\n for i, issue in enumerate(analysis[\"issues\"]):\n llm_log.info(f\"[ANALYSIS_ISSUE][{i+1}] {issue.get('severity')}: {issue.get('message')} (Location: {issue.get('location', 'N/A')})\")\n\n # 6. Persist Result\n validation_result = ValidationResult(\n dashboard_id=dashboard_id,\n status=ValidationStatus(analysis[\"status\"]),\n summary=analysis[\"summary\"],\n issues=[DetectedIssue(**issue) for issue in analysis[\"issues\"]],\n screenshot_path=screenshot_path,\n raw_response=str(analysis)\n )\n validation_finished_at = datetime.utcnow()\n\n result_payload = _json_safe_value(validation_result.dict())\n result_payload[\"screenshot_paths\"] = [screenshot_path]\n result_payload[\"logs_sent_to_llm\"] = logs\n result_payload[\"logs_sent_count\"] = len(logs)\n result_payload[\"prompt_template\"] = dashboard_prompt\n result_payload[\"provider\"] = {\n \"id\": db_provider.id,\n \"name\": db_provider.name,\n \"type\": db_provider.provider_type,\n \"base_url\": db_provider.base_url,\n \"model\": db_provider.default_model,\n }\n result_payload[\"environment_id\"] = env_id\n result_payload[\"timings\"] = {\n \"validation_started_at\": validation_started_at.isoformat(),\n \"validation_finished_at\": validation_finished_at.isoformat(),\n \"validation_duration_ms\": int((validation_finished_at - validation_started_at).total_seconds() * 1000),\n \"screenshot_started_at\": screenshot_started_at.isoformat(),\n \"screenshot_finished_at\": screenshot_finished_at.isoformat(),\n \"screenshot_duration_ms\": int((screenshot_finished_at - screenshot_started_at).total_seconds() * 1000),\n \"logs_fetch_started_at\": logs_fetch_started_at.isoformat(),\n \"logs_fetch_finished_at\": logs_fetch_finished_at.isoformat(),\n \"logs_fetch_duration_ms\": int((logs_fetch_finished_at - logs_fetch_started_at).total_seconds() * 1000),\n \"llm_call_started_at\": llm_call_started_at.isoformat(),\n \"llm_call_finished_at\": llm_call_finished_at.isoformat(),\n \"llm_call_duration_ms\": int((llm_call_finished_at - llm_call_started_at).total_seconds() * 1000),\n }\n\n db_record = ValidationRecord(\n task_id=context.task_id if context else None,\n policy_id=params.get(\"policy_id\"),\n dashboard_id=validation_result.dashboard_id,\n environment_id=env_id,\n status=validation_result.status.value,\n summary=validation_result.summary,\n issues=[issue.dict() for issue in validation_result.issues],\n screenshot_path=validation_result.screenshot_path,\n raw_response=json.dumps(result_payload, ensure_ascii=False)\n )\n db.add(db_record)\n db.commit()\n\n # 7. Notification on failure (US1 / FR-015)\n try:\n policy_id = params.get(\"policy_id\")\n policy = None\n if policy_id:\n policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first()\n\n notification_service = NotificationService(db, config_mgr)\n await notification_service.dispatch_report(\n record=db_record,\n policy=policy,\n background_tasks=getattr(context, \"background_tasks\", None) if context else None\n )\n except Exception as e:\n log.error(f\"Failed to dispatch notifications: {e}\")\n\n # Final log to ensure all analysis is visible in task logs\n log.info(f\"Validation completed for dashboard {dashboard_id}. Status: {validation_result.status.value}\")\n\n return result_payload\n\n finally:\n db.close()\n # endregion DashboardValidationPlugin.execute\n# #endregion DashboardValidationPlugin\n" }, { "contract_id": "DocumentationPlugin", "contract_type": "Class", "file_path": "backend/src/plugins/llm_analysis/plugin.py", - "start_line": 326, - "end_line": 480, + "start_line": 327, + "end_line": 481, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -35671,7 +36953,7 @@ "contract_type": "Module", "file_path": "backend/src/plugins/llm_analysis/service.py", "start_line": 1, - "end_line": 990, + "end_line": 1095, "tier": "TIER_3", "complexity": 5, "metadata": { @@ -35705,14 +36987,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region LLMAnalysisService [C:5] [TYPE Module] [SEMANTICS llm, screenshot, playwright, openai, tenacity]\n# @BRIEF Services for LLM interaction and dashboard screenshots.\n# @LAYER Plugin\n# @RELATION DEPENDS_ON -> tenacity\n# @RELATION DEPENDS_ON -> tenacity\n# @RELATION DEPENDS_ON -> tenacity\n# @INVARIANT Screenshots must be 1920px width and capture full page height.\n# @DATA_CONTRACT DashboardSpec -> Screenshot + Analysis\n# @RATIONALE Extracted all hardcoded timeouts into named module-level constants (PLAYWRIGHT_NAVIGATION_TIMEOUT_MS, PLAYWRIGHT_WAIT_TIMEOUT_MS, PLAYWRIGHT_SHORT_TIMEOUT_MS, HTTP_REQUEST_TIMEOUT_MS, SCREENSHOT_SERVICE_TIMEOUT_MS, LLM_HTTP_TIMEOUT_S) and DEFAULT_USER_AGENT. Zero remaining numeric timeout literals.\n\nimport asyncio\nimport base64\nimport io\nimport json\nimport os\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom openai import AsyncOpenAI, AuthenticationError as OpenAIAuthenticationError, RateLimitError\nfrom PIL import Image\nfrom playwright.async_api import async_playwright\nfrom tenacity import retry, retry_if_exception, stop_after_attempt, wait_exponential\n\nfrom ...core.config_models import Environment\nfrom ...core.logger import belief_scope, logger\nfrom ...services.llm_prompt_templates import DEFAULT_LLM_PROMPTS, render_prompt\nfrom .models import LLMProviderType\n\n# Timeout constants (milliseconds unless noted)\nPLAYWRIGHT_NAVIGATION_TIMEOUT_MS = 30000\nPLAYWRIGHT_WAIT_TIMEOUT_MS = 10000\nPLAYWRIGHT_SHORT_TIMEOUT_MS = 5000\nHTTP_REQUEST_TIMEOUT_MS = 60000\nSCREENSHOT_SERVICE_TIMEOUT_MS = 120000\nLLM_HTTP_TIMEOUT_S = 120 # seconds (httpx client timeout)\nDEFAULT_USER_AGENT = \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\"\n\n# #region ScreenshotService [TYPE Class]\n# @BRIEF Handles capturing screenshots of Superset dashboards.\nclass ScreenshotService:\n # region ScreenshotService.__init__ [TYPE Function]\n # @PURPOSE Initializes the ScreenshotService with environment configuration.\n # @PRE env is a valid Environment object.\n def __init__(self, env: Environment):\n self.env = env\n # endregion ScreenshotService.__init__\n\n # region ScreenshotService._find_first_visible_locator [TYPE Function]\n # @PURPOSE Resolve the first visible locator from multiple Playwright locator strategies.\n # @PRE candidates is a non-empty list of locator-like objects.\n # @POST Returns a locator ready for interaction or None when nothing matches.\n async def _find_first_visible_locator(self, candidates) -> Any:\n for locator in candidates:\n try:\n match_count = await locator.count()\n for index in range(match_count):\n candidate = locator.nth(index)\n if await candidate.is_visible():\n return candidate\n except Exception:\n continue\n return None\n # endregion ScreenshotService._find_first_visible_locator\n\n # region ScreenshotService._iter_login_roots [TYPE Function]\n # @PURPOSE Enumerate page and child frames where login controls may be rendered.\n # @PRE page is a Playwright page-like object.\n # @POST Returns ordered roots starting with main page followed by frames.\n def _iter_login_roots(self, page) -> list[Any]:\n roots = [page]\n page_frames = getattr(page, \"frames\", [])\n try:\n for frame in page_frames:\n if frame not in roots:\n roots.append(frame)\n except Exception:\n pass\n return roots\n # endregion ScreenshotService._iter_login_roots\n\n # region ScreenshotService._extract_hidden_login_fields [TYPE Function]\n # @PURPOSE Collect hidden form fields required for direct login POST fallback.\n # @PRE Login page is loaded.\n # @POST Returns hidden input name/value mapping aggregated from page and child frames.\n async def _extract_hidden_login_fields(self, page) -> dict[str, str]:\n hidden_fields: dict[str, str] = {}\n for root in self._iter_login_roots(page):\n try:\n locator = root.locator(\"input[type='hidden'][name]\")\n count = await locator.count()\n for index in range(count):\n candidate = locator.nth(index)\n field_name = str(await candidate.get_attribute(\"name\") or \"\").strip()\n if not field_name or field_name in hidden_fields:\n continue\n hidden_fields[field_name] = str(await candidate.input_value()).strip()\n except Exception:\n continue\n return hidden_fields\n # endregion ScreenshotService._extract_hidden_login_fields\n\n # region ScreenshotService._extract_csrf_token [TYPE Function]\n # @PURPOSE Resolve CSRF token value from main page or embedded login frame.\n # @PRE Login page is loaded.\n # @POST Returns first non-empty csrf token or empty string.\n async def _extract_csrf_token(self, page) -> str:\n hidden_fields = await self._extract_hidden_login_fields(page)\n return str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n # endregion ScreenshotService._extract_csrf_token\n\n # region ScreenshotService._response_looks_like_login_page [TYPE Function]\n # @PURPOSE Detect when fallback login POST returned the login form again instead of an authenticated page.\n # @PRE response_text is normalized HTML or text from login POST response.\n # @POST Returns True when login-page markers dominate the response body.\n def _response_looks_like_login_page(self, response_text: str) -> bool:\n normalized = str(response_text or \"\").strip().lower()\n if not normalized:\n return False\n\n markers = [\n \"enter your login and password below\",\n \"username:\",\n \"password:\",\n \"sign in\",\n 'name=\"csrf_token\"',\n ]\n return sum(marker in normalized for marker in markers) >= 3\n # endregion ScreenshotService._response_looks_like_login_page\n\n # region ScreenshotService._redirect_looks_authenticated [TYPE Function]\n # @PURPOSE Treat non-login redirects after form POST as successful authentication without waiting for redirect target.\n # @PRE redirect_location may be empty or relative.\n # @POST Returns True when redirect target does not point back to login flow.\n def _redirect_looks_authenticated(self, redirect_location: str) -> bool:\n normalized = str(redirect_location or \"\").strip().lower()\n if not normalized:\n return True\n return \"/login\" not in normalized\n # endregion ScreenshotService._redirect_looks_authenticated\n\n # region ScreenshotService._submit_login_via_form_post [TYPE Function]\n # @PURPOSE Fallback login path that submits credentials directly with csrf token.\n # @PRE login_url is same-origin and csrf token can be read from DOM.\n # @POST Browser context receives authenticated cookies when login succeeds.\n async def _submit_login_via_form_post(self, page, login_url: str) -> bool:\n hidden_fields = await self._extract_hidden_login_fields(page)\n csrf_token = str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n if not csrf_token:\n logger.warning(\"[DEBUG] Direct form login fallback skipped: csrf_token not found\")\n return False\n\n try:\n request_context = page.context.request\n except Exception as context_error:\n logger.warning(f\"[DEBUG] Direct form login fallback skipped: request context unavailable: {context_error}\")\n return False\n\n parsed_url = urlsplit(login_url)\n origin = f\"{parsed_url.scheme}://{parsed_url.netloc}\" if parsed_url.scheme and parsed_url.netloc else login_url\n payload = dict(hidden_fields)\n payload[\"username\"] = self.env.username\n payload[\"password\"] = self.env.password\n logger.info(\n f\"[DEBUG] Attempting direct form login fallback via browser context request with hidden fields: {sorted(hidden_fields.keys())}\"\n )\n\n response = await request_context.post(\n login_url,\n form=payload,\n headers={\n \"Origin\": origin,\n \"Referer\": login_url,\n },\n timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS,\n fail_on_status_code=False,\n max_redirects=0,\n )\n response_url = str(getattr(response, \"url\", \"\") or \"\")\n response_status = int(getattr(response, \"status\", 0) or 0)\n response_headers = dict(getattr(response, \"headers\", {}) or {})\n redirect_location = str(\n response_headers.get(\"location\")\n or response_headers.get(\"Location\")\n or \"\"\n ).strip()\n redirect_statuses = {301, 302, 303, 307, 308}\n if response_status in redirect_statuses:\n redirect_authenticated = self._redirect_looks_authenticated(redirect_location)\n logger.info(\n f\"[DEBUG] Direct form login fallback redirect response: status={response_status} url={response_url} location={redirect_location!r} authenticated={redirect_authenticated}\"\n )\n return redirect_authenticated\n\n response_text = await response.text()\n text_snippet = \" \".join(response_text.split())[:200]\n looks_like_login_page = self._response_looks_like_login_page(response_text)\n logger.info(\n f\"[DEBUG] Direct form login fallback response: status={response_status} url={response_url} login_markup={looks_like_login_page} snippet={text_snippet!r}\"\n )\n return not looks_like_login_page\n # endregion ScreenshotService._submit_login_via_form_post\n\n # region ScreenshotService._find_login_field_locator [TYPE Function]\n # @PURPOSE Resolve login form input using semantic label text plus generic visible-input fallbacks.\n # @PRE field_name is `username` or `password`.\n # @POST Returns a locator for the corresponding input or None.\n async def _find_login_field_locator(self, page, field_name: str) -> Any:\n normalized = str(field_name or \"\").strip().lower()\n for root in self._iter_login_roots(page):\n if normalized == \"username\":\n input_candidates = [\n root.get_by_label(\"Username\", exact=False),\n root.get_by_label(\"Login\", exact=False),\n root.locator(\"label:text-matches('Username|Login', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Username|Login/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='username']\"),\n root.locator(\"input#username\"),\n root.locator(\"input[placeholder*='Username']\"),\n root.locator(\"input[type='text']\"),\n root.locator(\"input:not([type='password'])\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n if normalized == \"password\":\n input_candidates = [\n root.get_by_label(\"Password\", exact=False),\n root.locator(\"label:text-matches('Password', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Password/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='password']\"),\n root.locator(\"input#password\"),\n root.locator(\"input[placeholder*='Password']\"),\n root.locator(\"input[type='password']\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n return None\n # endregion ScreenshotService._find_login_field_locator\n\n # region ScreenshotService._find_submit_locator [TYPE Function]\n # @PURPOSE Resolve login submit button from main page or embedded auth frame.\n # @PRE page is ready for login interaction.\n # @POST Returns visible submit locator or None.\n async def _find_submit_locator(self, page) -> Any:\n selectors = [\n lambda root: root.get_by_role(\"button\", name=\"Sign in\", exact=False),\n lambda root: root.get_by_role(\"button\", name=\"Login\", exact=False),\n lambda root: root.locator(\"button[type='submit']\"),\n lambda root: root.locator(\"button#submit\"),\n lambda root: root.locator(\".btn-primary\"),\n lambda root: root.locator(\"input[type='submit']\"),\n ]\n for root in self._iter_login_roots(page):\n locator = await self._find_first_visible_locator([factory(root) for factory in selectors])\n if locator:\n return locator\n return None\n # endregion ScreenshotService._find_submit_locator\n\n # region ScreenshotService._goto_resilient [TYPE Function]\n # @PURPOSE Navigate without relying on networkidle for pages with long-polling or persistent requests.\n # @PRE page is a valid Playwright page and url is non-empty.\n # @POST Returns last navigation response or raises when both primary and fallback waits fail.\n async def _goto_resilient(\n self,\n page,\n url: str,\n primary_wait_until: str = \"domcontentloaded\",\n fallback_wait_until: str = \"load\",\n timeout: int = HTTP_REQUEST_TIMEOUT_MS,\n ):\n try:\n return await page.goto(url, wait_until=primary_wait_until, timeout=timeout)\n except Exception as primary_error:\n logger.warning(\n f\"[ScreenshotService._goto_resilient] Primary navigation wait '{primary_wait_until}' failed for {url}: {primary_error}\"\n )\n return await page.goto(url, wait_until=fallback_wait_until, timeout=timeout)\n # endregion ScreenshotService._goto_resilient\n\n # region ScreenshotService.capture_dashboard [TYPE Function]\n # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP.\n # @PRE dashboard_id is a valid string, output_path is a writable path.\n # @POST Returns True if screenshot is saved successfully.\n # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, and writes a PNG file.\n # @UX_STATE [Navigating] -> Loading dashboard UI\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool:\n with belief_scope(\"capture_dashboard\", f\"dashboard_id={dashboard_id}\"):\n logger.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n async with async_playwright() as p:\n browser = await p.chromium.launch(\n headless=True,\n args=[\n \"--disable-blink-features=AutomationControlled\",\n \"--disable-infobars\",\n \"--no-sandbox\"\n ]\n )\n # Set a realistic user agent to avoid 403 Forbidden from OpenResty/WAF\n user_agent = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36\"\n # Construct base UI URL from environment (strip /api/v1 suffix)\n base_ui_url = self.env.url.rstrip(\"/\")\n if base_ui_url.endswith(\"/api/v1\"):\n base_ui_url = base_ui_url[:-len(\"/api/v1\")]\n\n # Create browser context with realistic headers\n context = await browser.new_context(\n viewport={'width': 1280, 'height': 720},\n user_agent=user_agent,\n extra_http_headers={\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n \"Accept-Language\": \"ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7\",\n \"Upgrade-Insecure-Requests\": \"1\",\n \"Sec-Fetch-Dest\": \"document\",\n \"Sec-Fetch-Mode\": \"navigate\",\n \"Sec-Fetch-Site\": \"none\",\n \"Sec-Fetch-User\": \"?1\"\n }\n )\n logger.info(\"Browser context created successfully\")\n\n page = await context.new_page()\n # Bypass navigator.webdriver detection\n await page.add_init_script(\"delete Object.getPrototypeOf(navigator).webdriver\")\n\n # 1. Navigate to login page and authenticate\n login_url = f\"{base_ui_url.rstrip('/')}/login/\"\n logger.info(f\"[DEBUG] Navigating to login page: {login_url}\")\n\n response = await self._goto_resilient(\n page,\n login_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n if response:\n logger.info(f\"[DEBUG] Login page response status: {response.status}\")\n\n # Wait for login form to be ready\n await page.wait_for_load_state(\"domcontentloaded\")\n\n # More exhaustive list of selectors for various Superset versions/themes\n selectors = {\n \"username\": ['input[name=\"username\"]', 'input#username', 'input[placeholder*=\"Username\"]', 'input[type=\"text\"]'],\n \"password\": ['input[name=\"password\"]', 'input#password', 'input[placeholder*=\"Password\"]', 'input[type=\"password\"]'],\n \"submit\": ['button[type=\"submit\"]', 'button#submit', '.btn-primary', 'input[type=\"submit\"]']\n }\n logger.info(\"[DEBUG] Attempting to find login form elements...\")\n\n try:\n used_direct_form_login = False\n # Find and fill username\n username_locator = await self._find_login_field_locator(page, \"username\")\n\n if not username_locator:\n roots = self._iter_login_roots(page)\n logger.info(f\"[DEBUG] Found {len(roots)} login roots including child frames\")\n for root_index, root in enumerate(roots[:5]):\n all_inputs = await root.locator('input').all()\n logger.info(f\"[DEBUG] Root {root_index}: found {len(all_inputs)} input fields\")\n for i, inp in enumerate(all_inputs[:5]): # Log first 5\n inp_type = await inp.get_attribute('type')\n inp_name = await inp.get_attribute('name')\n inp_id = await inp.get_attribute('id')\n logger.info(f\"[DEBUG] Root {root_index} input {i}: type={inp_type}, name={inp_name}, id={inp_id}\")\n used_direct_form_login = await self._submit_login_via_form_post(page, login_url)\n if not used_direct_form_login:\n raise RuntimeError(\"Could not find username input field on login page\")\n username_locator = None\n\n if username_locator is not None:\n logger.info(\"[DEBUG] Filling username field\")\n await username_locator.fill(self.env.username)\n\n # Find and fill password\n password_locator = await self._find_login_field_locator(page, \"password\") if username_locator is not None else None\n\n if username_locator is not None and not password_locator:\n raise RuntimeError(\"Could not find password input field on login page\")\n\n if password_locator is not None:\n logger.info(\"[DEBUG] Filling password field\")\n await password_locator.fill(self.env.password)\n\n # Click submit\n submit_locator = await self._find_submit_locator(page) if username_locator is not None else None\n\n if username_locator is not None and not submit_locator:\n raise RuntimeError(\"Could not find submit button on login page\")\n\n if submit_locator is not None:\n logger.info(\"[DEBUG] Clicking submit button\")\n await submit_locator.click()\n\n # Wait for navigation after login\n if not used_direct_form_login:\n try:\n await page.wait_for_load_state(\"load\", timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n except Exception as load_wait_error:\n logger.warning(f\"[DEBUG] Login post-submit load wait timed out: {load_wait_error}\")\n\n # Check if login was successful\n if not used_direct_form_login and \"/login\" in page.url:\n # Check for error messages on page\n error_msg = await page.locator(\".alert-danger, .error-message\").text_content() if await page.locator(\".alert-danger, .error-message\").count() > 0 else \"Unknown error\"\n logger.error(f\"[DEBUG] Login failed. Still on login page. Error: {error_msg}\")\n debug_path = output_path.replace(\".png\", \"_debug_failed_login.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(f\"Login failed: {error_msg}. Debug screenshot saved to {debug_path}\")\n\n logger.info(f\"[DEBUG] Login successful. Current URL: {page.url}\")\n\n # Check cookies after successful login\n page_cookies = await context.cookies()\n logger.info(f\"[DEBUG] Cookies after login: {len(page_cookies)}\")\n for c in page_cookies:\n logger.info(f\"[DEBUG] Cookie: name={c['name']}, domain={c['domain']}, value={c.get('value', '')[:20]}...\")\n\n except Exception as e:\n page_title = await page.title()\n logger.error(f\"UI Login failed. Page title: {page_title}, URL: {page.url}, Error: {e!s}\")\n debug_path = output_path.replace(\".png\", \"_debug_failed_login.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(f\"Login failed: {e!s}. Debug screenshot saved to {debug_path}\")\n\n # 2. Navigate to dashboard\n # @UX_STATE [Navigating] -> Loading dashboard UI\n dashboard_url = f\"{base_ui_url.rstrip('/')}/superset/dashboard/{dashboard_id}/?standalone=true\"\n\n if base_ui_url.startswith(\"https://\") and dashboard_url.startswith(\"http://\"):\n dashboard_url = dashboard_url.replace(\"http://\", \"https://\")\n\n logger.info(f\"[DEBUG] Navigating to dashboard: {dashboard_url}\")\n\n # Dashboard pages can keep polling/network activity open indefinitely.\n response = await self._goto_resilient(\n page,\n dashboard_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n\n if response:\n logger.info(f\"[DEBUG] Dashboard navigation response status: {response.status}, URL: {response.url}\")\n\n if \"/login\" in page.url:\n debug_path = output_path.replace(\".png\", \"_debug_failed_dashboard_auth.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(\n f\"Dashboard navigation redirected to login page after authentication. Debug screenshot saved to {debug_path}\"\n )\n\n try:\n # Wait for the dashboard grid to be present\n await page.wait_for_selector('.dashboard-component, .dashboard-header, [data-test=\"dashboard-grid\"]', timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n logger.info(\"[DEBUG] Dashboard container loaded\")\n\n # Wait for charts to finish loading (Superset uses loading spinners/skeletons)\n # We wait until loading indicators disappear or a timeout occurs\n try:\n # Wait for loading indicators to disappear\n await page.wait_for_selector('.loading, .ant-skeleton, .spinner', state=\"hidden\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Loading indicators hidden\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for loading indicators to hide\")\n\n # Wait for charts to actually render their content (e.g., ECharts, NVD3)\n # We look for common chart containers that should have content\n try:\n await page.wait_for_selector('.chart-container canvas, .slice_container svg, .superset-chart-canvas, .grid-content .chart-container', timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Chart content detected\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for chart content\")\n\n # Additional check: wait for all chart containers to have non-empty content\n logger.info(\"[DEBUG] Waiting for all charts to have rendered content...\")\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container, .slice_container');\n if (charts.length === 0) return true; // No charts to wait for\n \n // Check if all charts have rendered content (canvas, svg, or non-empty div)\n return Array.from(charts).every(chart => {\n const hasCanvas = chart.querySelector('canvas') !== null;\n const hasSvg = chart.querySelector('svg') !== null;\n const hasContent = chart.innerText.trim().length > 0 || chart.children.length > 0;\n return hasCanvas || hasSvg || hasContent;\n });\n }\"\"\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] All charts have rendered content\")\n\n # Scroll to bottom and back to top to trigger lazy loading of all charts\n logger.info(\"[DEBUG] Scrolling to trigger lazy loading...\")\n await page.evaluate(\"\"\"async () => {\n const delay = ms => new Promise(resolve => setTimeout(resolve, ms));\n for (let i = 0; i < document.body.scrollHeight; i += 500) {\n window.scrollTo(0, i);\n await delay(100);\n }\n window.scrollTo(0, 0);\n await delay(500);\n }\"\"\")\n\n except Exception as e:\n logger.warning(f\"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay\")\n\n # Final stabilization delay - increased for complex dashboards\n logger.info(\"[DEBUG] Final stabilization delay...\")\n await asyncio.sleep(15)\n\n # Logic to handle tabs and full-page capture\n try:\n # 1. Handle Tabs (Recursive switching)\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n processed_tabs = set()\n\n async def switch_tabs(depth=0):\n if depth > 3:\n return # Limit recursion depth\n\n tab_selectors = [\n '.ant-tabs-nav-list .ant-tabs-tab',\n '.dashboard-component-tabs .ant-tabs-tab',\n '[data-test=\"dashboard-component-tabs\"] .ant-tabs-tab'\n ]\n\n found_tabs = []\n for selector in tab_selectors:\n found_tabs = await page.locator(selector).all()\n if found_tabs:\n break\n\n if found_tabs:\n logger.info(f\"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}\")\n for i, tab in enumerate(found_tabs):\n try:\n tab_text = (await tab.inner_text()).strip()\n tab_id = f\"{depth}_{i}_{tab_text}\"\n\n if tab_id in processed_tabs:\n continue\n\n if await tab.is_visible():\n logger.info(f\"[DEBUG][TabSwitching] Switching to tab: {tab_text}\")\n processed_tabs.add(tab_id)\n\n is_active = \"ant-tabs-tab-active\" in (await tab.get_attribute(\"class\") or \"\")\n if not is_active:\n await tab.click()\n await asyncio.sleep(2) # Wait for content to render\n\n await switch_tabs(depth + 1)\n except Exception as tab_e:\n logger.warning(f\"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}\")\n\n try:\n first_tab = found_tabs[0]\n if \"ant-tabs-tab-active\" not in (await first_tab.get_attribute(\"class\") or \"\"):\n await first_tab.click()\n await asyncio.sleep(1)\n except Exception:\n pass\n\n await switch_tabs()\n\n # 2. Calculate full height for screenshot\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n full_height = await page.evaluate(\"\"\"() => {\n const body = document.body;\n const html = document.documentElement;\n const dashboardContent = document.querySelector('.dashboard-content');\n \n return Math.max(\n body.scrollHeight, body.offsetHeight,\n html.clientHeight, html.scrollHeight, html.offsetHeight,\n dashboardContent ? dashboardContent.scrollHeight + 100 : 0\n );\n }\"\"\")\n logger.info(f\"[DEBUG] Calculated full height: {full_height}\")\n\n # DIAGNOSTIC: Count chart elements before resize\n chart_count_before = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements BEFORE viewport resize: {chart_count_before}\")\n\n # DIAGNOSTIC: Capture pre-resize screenshot for comparison\n pre_resize_path = output_path.replace(\".png\", \"_preresize.png\")\n try:\n await page.screenshot(path=pre_resize_path, full_page=False, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n import os\n pre_resize_size = os.path.getsize(pre_resize_path) if os.path.exists(pre_resize_path) else 0\n logger.info(f\"[DIAGNOSTIC] Pre-resize screenshot saved: {pre_resize_path} ({pre_resize_size} bytes)\")\n except Exception as pre_e:\n logger.warning(f\"[DIAGNOSTIC] Failed to capture pre-resize screenshot: {pre_e}\")\n\n logger.info(f\"[DIAGNOSTIC] Resizing viewport from current to 1920x{int(full_height)}\")\n await page.set_viewport_size({\"width\": 1920, \"height\": int(full_height)})\n\n # DIAGNOSTIC: Increased wait time and log timing\n logger.info(\"[DIAGNOSTIC] Waiting 10 seconds after viewport resize for re-render...\")\n await asyncio.sleep(10)\n logger.info(\"[DIAGNOSTIC] Wait completed\")\n\n # DIAGNOSTIC: Count chart elements after resize and wait\n chart_count_after = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements AFTER viewport resize + wait: {chart_count_after}\")\n\n # DIAGNOSTIC: Check if any charts have error states\n chart_errors = await page.evaluate(\"\"\"() => {\n const errors = [];\n document.querySelectorAll('.chart-container, .slice_container').forEach((chart, i) => {\n const errorEl = chart.querySelector('.error, .alert-danger, .ant-alert-error');\n if (errorEl) {\n errors.push({index: i, text: errorEl.innerText.substring(0, 100)});\n }\n });\n return errors;\n }\"\"\")\n if chart_errors:\n logger.warning(f\"[DIAGNOSTIC] Charts with error states detected: {chart_errors}\")\n else:\n logger.info(\"[DIAGNOSTIC] No chart error states detected\")\n\n # 3. Take screenshot using CDP to bypass Playwright's font loading wait\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n logger.info(\"[DEBUG] Attempting full-page screenshot via CDP...\")\n cdp = await page.context.new_cdp_session(page)\n\n screenshot_data = await cdp.send(\"Page.captureScreenshot\", {\n \"format\": \"png\",\n \"fromSurface\": True,\n \"captureBeyondViewport\": True\n })\n\n image_data = base64.b64decode(screenshot_data[\"data\"])\n\n with open(output_path, 'wb') as f:\n f.write(image_data)\n\n # DIAGNOSTIC: Verify screenshot file\n import os\n final_size = os.path.getsize(output_path) if os.path.exists(output_path) else 0\n logger.info(f\"[DIAGNOSTIC] Final screenshot saved: {output_path}\")\n logger.info(f\"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)\")\n\n # DIAGNOSTIC: Get image dimensions\n try:\n with Image.open(output_path) as final_img:\n logger.info(f\"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}\")\n except Exception as img_err:\n logger.warning(f\"[DIAGNOSTIC] Could not read final image dimensions: {img_err}\")\n\n logger.info(f\"Full-page screenshot saved to {output_path} (via CDP)\")\n except Exception as e:\n logger.error(f\"[DEBUG] Full-page/Tab capture failed: {e}\")\n try:\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception as e2:\n logger.error(f\"[DEBUG] Fallback screenshot also failed: {e2}\")\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n\n await browser.close()\n return True\n # endregion ScreenshotService.capture_dashboard\n# #endregion ScreenshotService\n\n# #region LLMClient [TYPE Class]\n# @BRIEF Wrapper for LLM provider APIs.\nclass LLMClient:\n # region LLMClient.__init__ [TYPE Function]\n # @PURPOSE Initializes the LLMClient with provider settings.\n # @PRE api_key, base_url, and default_model are non-empty strings.\n def __init__(self, provider_type: LLMProviderType, api_key: str, base_url: str, default_model: str):\n self.provider_type = provider_type\n normalized_key = (api_key or \"\").strip()\n if normalized_key.lower().startswith(\"bearer \"):\n normalized_key = normalized_key[7:].strip()\n self.api_key = normalized_key\n self.base_url = base_url\n self.default_model = default_model\n\n # DEBUG: Log initialization parameters (without exposing full API key)\n logger.info(\"[LLMClient.__init__] Initializing LLM client:\")\n logger.info(f\"[LLMClient.__init__] Provider Type: {provider_type}\")\n logger.info(f\"[LLMClient.__init__] Base URL: {base_url}\")\n logger.info(f\"[LLMClient.__init__] Default Model: {default_model}\")\n logger.info(f\"[LLMClient.__init__] API Key (first 8 chars): {self.api_key[:8] if self.api_key and len(self.api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n logger.info(f\"[LLMClient.__init__] API Key Length: {len(self.api_key) if self.api_key else 0}\")\n\n # Some OpenAI-compatible gateways are strict about auth header naming.\n default_headers = {\"Authorization\": f\"Bearer {self.api_key}\"}\n if self.provider_type == LLMProviderType.OPENROUTER:\n default_headers[\"HTTP-Referer\"] = (\n os.getenv(\"OPENROUTER_SITE_URL\", \"\").strip()\n or os.getenv(\"APP_BASE_URL\", \"\").strip()\n or \"http://localhost:8000\"\n )\n default_headers[\"X-Title\"] = os.getenv(\"OPENROUTER_APP_NAME\", \"\").strip() or \"ss-tools\"\n if self.provider_type == LLMProviderType.KILO:\n default_headers[\"Authentication\"] = f\"Bearer {self.api_key}\"\n default_headers[\"X-API-Key\"] = self.api_key\n # LiteLLM proxy uses standard OpenAI-compatible Bearer auth — no special headers needed.\n # It routes to upstream providers transparently, and the default Authorization header\n # is sufficient. No additional headers like HTTP-Referer or X-API-Key are required.\n\n http_client = httpx.AsyncClient(headers=default_headers, timeout=LLM_HTTP_TIMEOUT_S)\n self.client = AsyncOpenAI(\n api_key=self.api_key,\n base_url=base_url,\n default_headers=default_headers,\n http_client=http_client,\n )\n # endregion LLMClient.__init__\n\n # region LLMClient._supports_json_response_format [TYPE Function]\n # @PURPOSE Detect whether provider/model is likely compatible with response_format=json_object.\n # @PRE Client initialized with base_url and default_model.\n # @POST Returns False for known-incompatible combinations to avoid avoidable 400 errors.\n def _supports_json_response_format(self) -> bool:\n base = (self.base_url or \"\").lower()\n model = (self.default_model or \"\").lower()\n\n # OpenRouter routes to many upstream providers; some models reject json_object mode.\n if \"openrouter.ai\" in base:\n incompatible_tokens = (\n \"stepfun/\",\n \"step-\",\n \":free\",\n )\n if any(token in model for token in incompatible_tokens):\n return False\n return True\n # endregion LLMClient._supports_json_response_format\n\n # region LLMClient.get_json_completion [TYPE Function]\n # @PURPOSE Helper to handle LLM calls with JSON mode and fallback parsing.\n # @PRE messages is a list of valid message dictionaries.\n # @POST Returns a parsed JSON dictionary.\n # @SIDE_EFFECT Calls external LLM API.\n def _should_retry(exception: Exception) -> bool:\n \"\"\"Custom retry predicate that excludes authentication errors.\"\"\"\n # Don't retry on authentication errors\n if isinstance(exception, OpenAIAuthenticationError):\n return False\n # Retry on rate limit errors and other exceptions\n return isinstance(exception, (RateLimitError, Exception))\n\n @retry(\n stop=stop_after_attempt(5),\n wait=wait_exponential(multiplier=2, min=5, max=60),\n retry=retry_if_exception(_should_retry),\n reraise=True\n )\n async def get_json_completion(self, messages: list[dict[str, Any]]) -> dict[str, Any]:\n with belief_scope(\"get_json_completion\"):\n response = None\n try:\n use_json_mode = self._supports_json_response_format()\n try:\n logger.info(\n f\"[get_json_completion] Attempting LLM call for model: {self.default_model} \"\n f\"(json_mode={'on' if use_json_mode else 'off'})\"\n )\n logger.info(f\"[get_json_completion] Base URL being used: {self.base_url}\")\n logger.info(f\"[get_json_completion] Number of messages: {len(messages)}\")\n logger.info(f\"[get_json_completion] API Key present: {bool(self.api_key and len(self.api_key) > 0)}\")\n\n if use_json_mode:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages,\n response_format={\"type\": \"json_object\"}\n )\n else:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n except Exception as e:\n if use_json_mode and (\n \"JSON mode is not enabled\" in str(e)\n or \"json_object is not supported\" in str(e).lower()\n or \"response_format\" in str(e).lower()\n or \"400\" in str(e)\n ):\n logger.warning(f\"[get_json_completion] JSON mode failed or not supported: {e!s}. Falling back to plain text response.\")\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n else:\n raise e\n\n logger.debug(f\"[get_json_completion] LLM Response: {response}\")\n except OpenAIAuthenticationError as e:\n logger.error(f\"[get_json_completion] Authentication error: {e!s}\")\n # Do not retry on auth errors - re-raise to stop retry\n raise\n except RateLimitError as e:\n logger.warning(f\"[get_json_completion] Rate limit hit: {e!s}\")\n\n # Extract retry_delay from error metadata if available\n retry_delay = 5.0 # Default fallback\n try:\n # Based on logs, the raw response is in e.body or e.response.json()\n # The logs show 'metadata': {'raw': '...'} which suggests a proxy or specific client wrapper\n # Let's try to find the 'retryDelay' in the error message or response\n import re\n\n # Try to find \"retryDelay\": \"XXs\" in the string representation of the error\n error_str = str(e)\n match = re.search(r'\"retryDelay\":\\s*\"(\\d+)s\"', error_str)\n if match:\n retry_delay = float(match.group(1))\n else:\n # Try to parse from response if it's a standard OpenAI-like error with body\n if hasattr(e, 'body') and isinstance(e.body, dict):\n # Some providers put it in details\n details = e.body.get('error', {}).get('details', [])\n for detail in details:\n if detail.get('@type') == 'type.googleapis.com/google.rpc.RetryInfo':\n delay_str = detail.get('retryDelay', '5s')\n retry_delay = float(delay_str.rstrip('s'))\n break\n except Exception as parse_e:\n logger.debug(f\"[get_json_completion] Failed to parse retry delay: {parse_e}\")\n\n # Add a small safety margin (0.5s) as requested\n wait_time = retry_delay + 0.5\n logger.info(f\"[get_json_completion] Waiting for {wait_time}s before retry...\")\n await asyncio.sleep(wait_time)\n raise\n except Exception as e:\n logger.error(f\"[get_json_completion] LLM call failed: {e!s}\")\n raise\n\n if not response or not hasattr(response, 'choices') or not response.choices:\n raise RuntimeError(f\"Invalid LLM response: {response}\")\n\n content = response.choices[0].message.content\n logger.debug(f\"[get_json_completion] Raw content to parse: {content}\")\n\n try:\n return json.loads(content)\n except json.JSONDecodeError:\n logger.warning(\"[get_json_completion] Failed to parse JSON directly, attempting to extract from code blocks\")\n if \"```json\" in content:\n json_str = content.split(\"```json\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n elif \"```\" in content:\n json_str = content.split(\"```\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n else:\n raise\n # endregion LLMClient.get_json_completion\n\n # region LLMClient.test_runtime_connection [TYPE Function]\n # @PURPOSE Validate provider credentials using the same chat completions transport as runtime analysis.\n # @PRE Client is initialized with provider credentials and default_model.\n # @POST Returns lightweight JSON payload when runtime auth/model path is valid.\n # @SIDE_EFFECT Calls external LLM API.\n async def test_runtime_connection(self) -> dict[str, Any]:\n with belief_scope(\"test_runtime_connection\"):\n messages = [\n {\n \"role\": \"user\",\n \"content\": 'Return exactly this JSON object and nothing else: {\"ok\": true}',\n }\n ]\n return await self.get_json_completion(messages)\n # endregion LLMClient.test_runtime_connection\n\n # region LLMClient.fetch_models [TYPE Function]\n # @PURPOSE Fetch available models from the provider's API.\n # @PRE Client is initialized with provider credentials.\n # @POST Returns a list of model ID strings.\n # @SIDE_EFFECT Calls external LLM API /v1/models endpoint.\n async def fetch_models(self) -> list[str]:\n with belief_scope(\"LLMClient.fetch_models\"):\n try:\n response = await self.client.models.list()\n model_ids = [m.id for m in response.data]\n model_ids.sort()\n logger.reason(\n f\"[LLMClient.fetch_models] Fetched {len(model_ids)} models from {self.base_url}\",\n extra={\"src\": \"LLMClient.fetch_models\"},\n )\n return model_ids\n except Exception as e:\n logger.warning(\n f\"[LLMClient.fetch_models] Failed to fetch models: {e}\",\n )\n raise\n # endregion LLMClient.fetch_models\n\n # region LLMClient.analyze_dashboard [TYPE Function]\n # @PURPOSE Sends dashboard data (screenshot + logs) to LLM for health analysis.\n # @PRE screenshot_path exists, logs is a list of strings.\n # @POST Returns a structured analysis dictionary (status, summary, issues).\n # @SIDE_EFFECT Reads screenshot file and calls external LLM API.\n async def analyze_dashboard(\n self,\n screenshot_path: str,\n logs: list[str],\n prompt_template: str = DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n ) -> dict[str, Any]:\n with belief_scope(\"analyze_dashboard\"):\n # Optimize image to reduce token count (US1 / T023)\n # Gemini/Gemma models have limits on input tokens, and large images contribute significantly.\n try:\n with Image.open(screenshot_path) as img:\n # Convert to RGB if necessary\n if img.mode in (\"RGBA\", \"P\"):\n img = img.convert(\"RGB\")\n\n # Resize if too large (max 1024px width while maintaining aspect ratio)\n # We reduce width further to 1024px to stay within token limits for long dashboards\n max_width = 1024\n if img.width > max_width or img.height > 2048:\n # Calculate scaling factor to fit within 1024x2048\n scale = min(max_width / img.width, 2048 / img.height)\n if scale < 1.0:\n new_width = int(img.width * scale)\n new_height = int(img.height * scale)\n img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)\n logger.info(f\"[analyze_dashboard] Resized image from {img.width}x{img.height} to {new_width}x{new_height}\")\n\n # Compress and convert to base64\n buffer = io.BytesIO()\n # Lower quality to 60% to further reduce payload size\n img.save(buffer, format=\"JPEG\", quality=60, optimize=True)\n base_64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')\n logger.info(f\"[analyze_dashboard] Optimized image size: {len(buffer.getvalue()) / 1024:.2f} KB\")\n except Exception as img_e:\n logger.warning(f\"[analyze_dashboard] Image optimization failed: {img_e}. Using raw image.\")\n with open(screenshot_path, \"rb\") as image_file:\n base_64_image = base64.b64encode(image_file.read()).decode('utf-8')\n\n log_text = \"\\n\".join(logs)\n prompt = render_prompt(prompt_template, {\"logs\": log_text})\n\n messages = [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"text\", \"text\": prompt},\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": f\"data:image/jpeg;base64,{base_64_image}\"\n }\n }\n ]\n }\n ]\n\n try:\n return await self.get_json_completion(messages)\n except Exception as e:\n logger.error(f\"[analyze_dashboard] Failed to get analysis: {e!s}\")\n return {\n \"status\": \"UNKNOWN\",\n \"summary\": f\"Failed to get response from LLM: {e!s}\",\n \"issues\": [{\"severity\": \"UNKNOWN\", \"message\": \"LLM provider returned empty or invalid response\"}]\n }\n # endregion LLMClient.analyze_dashboard\n# #endregion LLMClient\n\n# #endregion LLMAnalysisService\n" + "body": "# #region LLMAnalysisService [C:5] [TYPE Module] [SEMANTICS llm, screenshot, playwright, openai, tenacity]\n# @BRIEF Services for LLM interaction and dashboard screenshots.\n# @LAYER Plugin\n# @RELATION DEPENDS_ON -> tenacity\n# @RELATION DEPENDS_ON -> tenacity\n# @RELATION DEPENDS_ON -> tenacity\n# @INVARIANT Screenshots must be 1920px width and capture full page height.\n# @DATA_CONTRACT DashboardSpec -> Screenshot + Analysis\n# @RATIONALE Extracted all hardcoded timeouts into named module-level constants (PLAYWRIGHT_NAVIGATION_TIMEOUT_MS, PLAYWRIGHT_WAIT_TIMEOUT_MS, PLAYWRIGHT_SHORT_TIMEOUT_MS, HTTP_REQUEST_TIMEOUT_MS, SCREENSHOT_SERVICE_TIMEOUT_MS, LLM_HTTP_TIMEOUT_S) and DEFAULT_USER_AGENT. Zero remaining numeric timeout literals.\n\nimport asyncio\nimport base64\nimport io\nimport json\nimport os\nimport shutil\nimport tempfile\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom openai import AsyncOpenAI, AuthenticationError as OpenAIAuthenticationError, RateLimitError\nfrom PIL import Image\nfrom playwright.async_api import async_playwright\nfrom tenacity import retry, retry_if_exception, stop_after_attempt, wait_exponential\n\nfrom ...core.config_models import Environment\nfrom ...core.logger import belief_scope, logger\nfrom ...services.llm_prompt_templates import DEFAULT_LLM_PROMPTS, render_prompt\nfrom .models import LLMProviderType\n\n# Timeout constants (milliseconds unless noted)\nPLAYWRIGHT_NAVIGATION_TIMEOUT_MS = 30000\nPLAYWRIGHT_WAIT_TIMEOUT_MS = 10000\nPLAYWRIGHT_SHORT_TIMEOUT_MS = 5000\nHTTP_REQUEST_TIMEOUT_MS = 60000\nSCREENSHOT_SERVICE_TIMEOUT_MS = 120000\nLLM_HTTP_TIMEOUT_S = 120 # seconds (httpx client timeout)\nDEFAULT_USER_AGENT = \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\"\n\n# #region ScreenshotService [TYPE Class]\n# @BRIEF Handles capturing screenshots of Superset dashboards.\nclass ScreenshotService:\n # region ScreenshotService.__init__ [TYPE Function]\n # @PURPOSE Initializes the ScreenshotService with environment configuration.\n # @PRE env is a valid Environment object.\n def __init__(self, env: Environment):\n self.env = env\n # endregion ScreenshotService.__init__\n\n # region ScreenshotService._find_first_visible_locator [TYPE Function]\n # @PURPOSE Resolve the first visible locator from multiple Playwright locator strategies.\n # @PRE candidates is a non-empty list of locator-like objects.\n # @POST Returns a locator ready for interaction or None when nothing matches.\n async def _find_first_visible_locator(self, candidates) -> Any:\n for locator in candidates:\n try:\n match_count = await locator.count()\n for index in range(match_count):\n candidate = locator.nth(index)\n if await candidate.is_visible():\n return candidate\n except Exception:\n continue\n return None\n # endregion ScreenshotService._find_first_visible_locator\n\n # region ScreenshotService._iter_login_roots [TYPE Function]\n # @PURPOSE Enumerate page and child frames where login controls may be rendered.\n # @PRE page is a Playwright page-like object.\n # @POST Returns ordered roots starting with main page followed by frames.\n def _iter_login_roots(self, page) -> list[Any]:\n roots = [page]\n page_frames = getattr(page, \"frames\", [])\n try:\n for frame in page_frames:\n if frame not in roots:\n roots.append(frame)\n except Exception:\n pass\n return roots\n # endregion ScreenshotService._iter_login_roots\n\n # region ScreenshotService._extract_hidden_login_fields [TYPE Function]\n # @PURPOSE Collect hidden form fields required for direct login POST fallback.\n # @PRE Login page is loaded.\n # @POST Returns hidden input name/value mapping aggregated from page and child frames.\n async def _extract_hidden_login_fields(self, page) -> dict[str, str]:\n hidden_fields: dict[str, str] = {}\n for root in self._iter_login_roots(page):\n try:\n locator = root.locator(\"input[type='hidden'][name]\")\n count = await locator.count()\n for index in range(count):\n candidate = locator.nth(index)\n field_name = str(await candidate.get_attribute(\"name\") or \"\").strip()\n if not field_name or field_name in hidden_fields:\n continue\n hidden_fields[field_name] = str(await candidate.input_value()).strip()\n except Exception:\n continue\n return hidden_fields\n # endregion ScreenshotService._extract_hidden_login_fields\n\n # region ScreenshotService._extract_csrf_token [TYPE Function]\n # @PURPOSE Resolve CSRF token value from main page or embedded login frame.\n # @PRE Login page is loaded.\n # @POST Returns first non-empty csrf token or empty string.\n async def _extract_csrf_token(self, page) -> str:\n hidden_fields = await self._extract_hidden_login_fields(page)\n return str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n # endregion ScreenshotService._extract_csrf_token\n\n # region ScreenshotService._response_looks_like_login_page [TYPE Function]\n # @PURPOSE Detect when fallback login POST returned the login form again instead of an authenticated page.\n # @PRE response_text is normalized HTML or text from login POST response.\n # @POST Returns True when login-page markers dominate the response body.\n def _response_looks_like_login_page(self, response_text: str) -> bool:\n normalized = str(response_text or \"\").strip().lower()\n if not normalized:\n return False\n\n markers = [\n \"enter your login and password below\",\n \"username:\",\n \"password:\",\n \"sign in\",\n 'name=\"csrf_token\"',\n ]\n return sum(marker in normalized for marker in markers) >= 3\n # endregion ScreenshotService._response_looks_like_login_page\n\n # region ScreenshotService._redirect_looks_authenticated [TYPE Function]\n # @PURPOSE Treat non-login redirects after form POST as successful authentication without waiting for redirect target.\n # @PRE redirect_location may be empty or relative.\n # @POST Returns True when redirect target does not point back to login flow.\n def _redirect_looks_authenticated(self, redirect_location: str) -> bool:\n normalized = str(redirect_location or \"\").strip().lower()\n if not normalized:\n return True\n return \"/login\" not in normalized\n # endregion ScreenshotService._redirect_looks_authenticated\n\n # region ScreenshotService._submit_login_via_form_post [TYPE Function]\n # @PURPOSE Fallback login path that submits credentials directly with csrf token.\n # @PRE login_url is same-origin and csrf token can be read from DOM.\n # @POST Browser context receives authenticated cookies when login succeeds.\n async def _submit_login_via_form_post(self, page, login_url: str) -> bool:\n hidden_fields = await self._extract_hidden_login_fields(page)\n csrf_token = str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n if not csrf_token:\n logger.warning(\"[DEBUG] Direct form login fallback skipped: csrf_token not found\")\n return False\n\n try:\n request_context = page.context.request\n except Exception as context_error:\n logger.warning(f\"[DEBUG] Direct form login fallback skipped: request context unavailable: {context_error}\")\n return False\n\n parsed_url = urlsplit(login_url)\n origin = f\"{parsed_url.scheme}://{parsed_url.netloc}\" if parsed_url.scheme and parsed_url.netloc else login_url\n payload = dict(hidden_fields)\n payload[\"username\"] = self.env.username\n payload[\"password\"] = self.env.password\n logger.info(\n f\"[DEBUG] Attempting direct form login fallback via browser context request with hidden fields: {sorted(hidden_fields.keys())}\"\n )\n\n response = await request_context.post(\n login_url,\n form=payload,\n headers={\n \"Origin\": origin,\n \"Referer\": login_url,\n },\n timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS,\n fail_on_status_code=False,\n max_redirects=0,\n )\n response_url = str(getattr(response, \"url\", \"\") or \"\")\n response_status = int(getattr(response, \"status\", 0) or 0)\n response_headers = dict(getattr(response, \"headers\", {}) or {})\n redirect_location = str(\n response_headers.get(\"location\")\n or response_headers.get(\"Location\")\n or \"\"\n ).strip()\n redirect_statuses = {301, 302, 303, 307, 308}\n if response_status in redirect_statuses:\n redirect_authenticated = self._redirect_looks_authenticated(redirect_location)\n logger.info(\n f\"[DEBUG] Direct form login fallback redirect response: status={response_status} url={response_url} location={redirect_location!r} authenticated={redirect_authenticated}\"\n )\n return redirect_authenticated\n\n response_text = await response.text()\n text_snippet = \" \".join(response_text.split())[:200]\n looks_like_login_page = self._response_looks_like_login_page(response_text)\n logger.info(\n f\"[DEBUG] Direct form login fallback response: status={response_status} url={response_url} login_markup={looks_like_login_page} snippet={text_snippet!r}\"\n )\n return not looks_like_login_page\n # endregion ScreenshotService._submit_login_via_form_post\n\n # region ScreenshotService._find_login_field_locator [TYPE Function]\n # @PURPOSE Resolve login form input using semantic label text plus generic visible-input fallbacks.\n # @PRE field_name is `username` or `password`.\n # @POST Returns a locator for the corresponding input or None.\n async def _find_login_field_locator(self, page, field_name: str) -> Any:\n normalized = str(field_name or \"\").strip().lower()\n for root in self._iter_login_roots(page):\n if normalized == \"username\":\n input_candidates = [\n root.get_by_label(\"Username\", exact=False),\n root.get_by_label(\"Login\", exact=False),\n root.locator(\"label:text-matches('Username|Login', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Username|Login/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='username']\"),\n root.locator(\"input#username\"),\n root.locator(\"input[placeholder*='Username']\"),\n root.locator(\"input[type='text']\"),\n root.locator(\"input:not([type='password'])\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n if normalized == \"password\":\n input_candidates = [\n root.get_by_label(\"Password\", exact=False),\n root.locator(\"label:text-matches('Password', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Password/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='password']\"),\n root.locator(\"input#password\"),\n root.locator(\"input[placeholder*='Password']\"),\n root.locator(\"input[type='password']\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n return None\n # endregion ScreenshotService._find_login_field_locator\n\n # region ScreenshotService._find_submit_locator [TYPE Function]\n # @PURPOSE Resolve login submit button from main page or embedded auth frame.\n # @PRE page is ready for login interaction.\n # @POST Returns visible submit locator or None.\n async def _find_submit_locator(self, page) -> Any:\n selectors = [\n lambda root: root.get_by_role(\"button\", name=\"Sign in\", exact=False),\n lambda root: root.get_by_role(\"button\", name=\"Login\", exact=False),\n lambda root: root.locator(\"button[type='submit']\"),\n lambda root: root.locator(\"button#submit\"),\n lambda root: root.locator(\".btn-primary\"),\n lambda root: root.locator(\"input[type='submit']\"),\n ]\n for root in self._iter_login_roots(page):\n locator = await self._find_first_visible_locator([factory(root) for factory in selectors])\n if locator:\n return locator\n return None\n # endregion ScreenshotService._find_submit_locator\n\n # region ScreenshotService._goto_resilient [TYPE Function]\n # @PURPOSE Navigate without relying on networkidle for pages with long-polling or persistent requests.\n # @PRE page is a valid Playwright page and url is non-empty.\n # @POST Returns last navigation response or raises when both primary and fallback waits fail.\n async def _goto_resilient(\n self,\n page,\n url: str,\n primary_wait_until: str = \"domcontentloaded\",\n fallback_wait_until: str = \"load\",\n timeout: int = HTTP_REQUEST_TIMEOUT_MS,\n ):\n try:\n return await page.goto(url, wait_until=primary_wait_until, timeout=timeout)\n except Exception as primary_error:\n logger.warning(\n f\"[ScreenshotService._goto_resilient] Primary navigation wait '{primary_wait_until}' failed for {url}: {primary_error}\"\n )\n return await page.goto(url, wait_until=fallback_wait_until, timeout=timeout)\n # endregion ScreenshotService._goto_resilient\n\n # region ScreenshotService._wait_for_charts_stabilized [TYPE Function] [C:2]\n # @BRIEF Wait until chart elements have non-zero dimensions, with polling.\n # @PRE page is a valid Playwright page.\n # @POST Waits for chart stabilization or raises on timeout (handled internally).\n # @RATIONALE Polls for actual chart rendering dimensions rather than using a fixed delay — charts may load at different speeds depending on dashboard complexity and network conditions.\n # @REJECTED Fixed sleep-based wait rejected — would either waste time (too long) or produce blank screenshots (too short); polling for actual canvas/svg dimensions is more reliable.\n async def _wait_for_charts_stabilized(self, page, timeout_ms: int = 15000):\n \"\"\"Wait until chart elements have non-zero dimensions, with polling.\"\"\"\n # Short initial delay for rendering pipeline to start\n await asyncio.sleep(0.5)\n try:\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container canvas, .slice_container svg, .grid-content canvas');\n if (charts.length === 0) return true;\n return Array.from(charts).some(c => {\n if (c.tagName === 'CANVAS') return c.width > 10 && c.height > 10;\n if (c.tagName === 'svg') {\n const bbox = c.getBoundingClientRect();\n return bbox.width > 10 && bbox.height > 10;\n }\n return false;\n });\n }\"\"\", timeout=timeout_ms)\n except Exception:\n logger.warning(\"[ScreenshotService] Chart stabilization wait timed out, proceeding anyway\")\n # endregion ScreenshotService._wait_for_charts_stabilized\n\n # region ScreenshotService._wait_for_resize_rendered [TYPE Function] [C:2]\n # @BRIEF Wait for charts to re-render after viewport resize.\n # @PRE page is a valid Playwright page; chart_count_before contains pre-resize element counts.\n # @POST Waits for chart content to return or timeout.\n # @RATIONALE After viewport resize, Superset triggers lazy chart re-rendering — this function polls for chart elements to reappear before taking the screenshot.\n # @REJECTED Single fixed wait after resize rejected — some dashboards re-render instantly while others take seconds; fixed wait is brittle across dashboard types.\n async def _wait_for_resize_rendered(self, page, chart_count_before: dict, timeout_ms: int = 10000):\n \"\"\"Wait for charts to re-render after viewport resize, with polling.\"\"\"\n try:\n await page.wait_for_function(\"\"\"(preCounts) => {\n const currentCharts = document.querySelectorAll('.chart-container, .slice_container').length;\n const currentCanvases = document.querySelectorAll('canvas').length;\n const currentSvgs = document.querySelectorAll('.chart-container svg, .slice_container svg').length;\n // At least one chart element must be present\n return currentCharts > 0 && (currentCanvases > 0 || currentSvgs > 0);\n }\"\"\", arg=chart_count_before, timeout=timeout_ms)\n except Exception:\n logger.warning(\"[ScreenshotService] Re-render wait timed out after viewport resize, proceeding anyway\")\n # endregion ScreenshotService._wait_for_resize_rendered\n\n # region ScreenshotService._save_debug_screenshot [TYPE Function] [C:1]\n # @BRIEF Save a debug screenshot to a temp directory for diagnostic purposes.\n # @PRE debug_dir exists and is writable.\n # @POST Returns the debug path or None on failure.\n # @RATIONALE Uses tempfile.mkdtemp() to avoid accumulating .png files in production storage. Temp dir is cleaned up on success (rmtree) or preserved on failure for debugging.\n # @REJECTED Old approach saved debug .png next to output path — accumulated _debug_failed_login.png, _preresize.png permanently in screenshots dir (F1). In-memory-only debug logging rejected — screenshot state is visual and cannot be captured in logs.\n async def _save_debug_screenshot(self, page, debug_dir: str, suffix: str) -> str | None:\n debug_path = os.path.join(debug_dir, suffix)\n try:\n await page.screenshot(path=debug_path)\n return debug_path\n except Exception:\n return None\n # endregion ScreenshotService._save_debug_screenshot\n\n # region ScreenshotService.capture_dashboard [TYPE Function] [C:4]\n # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP.\n # @PRE dashboard_id is a valid string, output_path is a writable path.\n # @POST Returns True if screenshot is saved successfully. Debug temp dir cleaned up on success, preserved on failure.\n # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, writes a PNG file; creates and cleans up temp debug directory.\n # @UX_STATE [Navigating] -> Loading dashboard UI\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n # @RATIONALE Uses tempfile.mkdtemp() for all debug screenshots; cleans up on success (shutil.rmtree), preserves on failure for diagnostic analysis. Pre-resize screenshot is saved to temp dir and auto-cleaned on success.\n # @REJECTED Old approach saved debug .png files alongside output — accumulated permanently (F1). In-memory-only logging rejected — visual state cannot be captured in text.\n async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool:\n debug_dir = tempfile.mkdtemp(prefix=\"ss_screenshot_debug_\")\n success = False\n try:\n # -- begin original body --\n with belief_scope(\"capture_dashboard\", f\"dashboard_id={dashboard_id}\"):\n logger.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n async with async_playwright() as p:\n browser = await p.chromium.launch(\n headless=True,\n args=[\n \"--disable-blink-features=AutomationControlled\",\n \"--disable-infobars\",\n \"--no-sandbox\"\n ]\n )\n # Set a realistic user agent to avoid 403 Forbidden from OpenResty/WAF\n user_agent = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36\"\n # Construct base UI URL from environment (strip /api/v1 suffix)\n base_ui_url = self.env.url.rstrip(\"/\")\n if base_ui_url.endswith(\"/api/v1\"):\n base_ui_url = base_ui_url[:-len(\"/api/v1\")]\n\n # Create browser context with realistic headers\n context = await browser.new_context(\n viewport={'width': 1280, 'height': 720},\n user_agent=user_agent,\n extra_http_headers={\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n \"Accept-Language\": \"ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7\",\n \"Upgrade-Insecure-Requests\": \"1\",\n \"Sec-Fetch-Dest\": \"document\",\n \"Sec-Fetch-Mode\": \"navigate\",\n \"Sec-Fetch-Site\": \"none\",\n \"Sec-Fetch-User\": \"?1\"\n }\n )\n logger.info(\"Browser context created successfully\")\n\n page = await context.new_page()\n # Bypass navigator.webdriver detection\n await page.add_init_script(\"delete Object.getPrototypeOf(navigator).webdriver\")\n\n # 1. Navigate to login page and authenticate\n login_url = f\"{base_ui_url.rstrip('/')}/login/\"\n logger.info(f\"[DEBUG] Navigating to login page: {login_url}\")\n\n response = await self._goto_resilient(\n page,\n login_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n if response:\n logger.info(f\"[DEBUG] Login page response status: {response.status}\")\n\n # Wait for login form to be ready\n await page.wait_for_load_state(\"domcontentloaded\")\n\n # More exhaustive list of selectors for various Superset versions/themes\n selectors = {\n \"username\": ['input[name=\"username\"]', 'input#username', 'input[placeholder*=\"Username\"]', 'input[type=\"text\"]'],\n \"password\": ['input[name=\"password\"]', 'input#password', 'input[placeholder*=\"Password\"]', 'input[type=\"password\"]'],\n \"submit\": ['button[type=\"submit\"]', 'button#submit', '.btn-primary', 'input[type=\"submit\"]']\n }\n logger.info(\"[DEBUG] Attempting to find login form elements...\")\n\n try:\n used_direct_form_login = False\n # Find and fill username\n username_locator = await self._find_login_field_locator(page, \"username\")\n\n if not username_locator:\n roots = self._iter_login_roots(page)\n logger.info(f\"[DEBUG] Found {len(roots)} login roots including child frames\")\n for root_index, root in enumerate(roots[:5]):\n all_inputs = await root.locator('input').all()\n logger.info(f\"[DEBUG] Root {root_index}: found {len(all_inputs)} input fields\")\n for i, inp in enumerate(all_inputs[:5]): # Log first 5\n inp_type = await inp.get_attribute('type')\n inp_name = await inp.get_attribute('name')\n inp_id = await inp.get_attribute('id')\n logger.info(f\"[DEBUG] Root {root_index} input {i}: type={inp_type}, name={inp_name}, id={inp_id}\")\n used_direct_form_login = await self._submit_login_via_form_post(page, login_url)\n if not used_direct_form_login:\n raise RuntimeError(\"Could not find username input field on login page\")\n username_locator = None\n\n if username_locator is not None:\n logger.info(\"[DEBUG] Filling username field\")\n await username_locator.fill(self.env.username)\n\n # Find and fill password\n password_locator = await self._find_login_field_locator(page, \"password\") if username_locator is not None else None\n\n if username_locator is not None and not password_locator:\n raise RuntimeError(\"Could not find password input field on login page\")\n\n if password_locator is not None:\n logger.info(\"[DEBUG] Filling password field\")\n await password_locator.fill(self.env.password)\n\n # Click submit\n submit_locator = await self._find_submit_locator(page) if username_locator is not None else None\n\n if username_locator is not None and not submit_locator:\n raise RuntimeError(\"Could not find submit button on login page\")\n\n if submit_locator is not None:\n logger.info(\"[DEBUG] Clicking submit button\")\n await submit_locator.click()\n\n # Wait for navigation after login\n if not used_direct_form_login:\n try:\n await page.wait_for_load_state(\"load\", timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n except Exception as load_wait_error:\n logger.warning(f\"[DEBUG] Login post-submit load wait timed out: {load_wait_error}\")\n\n # Check if login was successful\n if not used_direct_form_login and \"/login\" in page.url:\n # Check for error messages on page\n error_msg = await page.locator(\".alert-danger, .error-message\").text_content() if await page.locator(\".alert-danger, .error-message\").count() > 0 else \"Unknown error\"\n logger.error(f\"[DEBUG] Login failed. Still on login page. Error: {error_msg}\")\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_login.png\")\n raise RuntimeError(f\"Login failed: {error_msg}. Debug screenshot saved to {debug_path}\")\n\n logger.info(f\"[DEBUG] Login successful. Current URL: {page.url}\")\n\n # Check cookies after successful login\n page_cookies = await context.cookies()\n logger.info(f\"[DEBUG] Cookies after login: {len(page_cookies)}\")\n for c in page_cookies:\n logger.info(f\"[DEBUG] Cookie: name={c['name']}, domain={c['domain']}, value={c.get('value', '')[:20]}...\")\n\n except Exception as e:\n page_title = await page.title()\n logger.error(f\"UI Login failed. Page title: {page_title}, URL: {page.url}, Error: {e!s}\")\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_login.png\")\n raise RuntimeError(f\"Login failed: {e!s}. Debug screenshot saved to {debug_path}\")\n\n # 2. Navigate to dashboard\n # @UX_STATE [Navigating] -> Loading dashboard UI\n dashboard_url = f\"{base_ui_url.rstrip('/')}/superset/dashboard/{dashboard_id}/?standalone=true\"\n\n if base_ui_url.startswith(\"https://\") and dashboard_url.startswith(\"http://\"):\n dashboard_url = dashboard_url.replace(\"http://\", \"https://\")\n\n logger.info(f\"[DEBUG] Navigating to dashboard: {dashboard_url}\")\n\n # Dashboard pages can keep polling/network activity open indefinitely.\n response = await self._goto_resilient(\n page,\n dashboard_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n\n if response:\n logger.info(f\"[DEBUG] Dashboard navigation response status: {response.status}, URL: {response.url}\")\n\n if \"/login\" in page.url:\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_dashboard_auth.png\")\n raise RuntimeError(\n f\"Dashboard navigation redirected to login page after authentication. Debug screenshot saved to {debug_path}\"\n )\n\n try:\n # Wait for the dashboard grid to be present\n await page.wait_for_selector('.dashboard-component, .dashboard-header, [data-test=\"dashboard-grid\"]', timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n logger.info(\"[DEBUG] Dashboard container loaded\")\n\n # Wait for charts to finish loading (Superset uses loading spinners/skeletons)\n # We wait until loading indicators disappear or a timeout occurs\n try:\n # Wait for loading indicators to disappear\n await page.wait_for_selector('.loading, .ant-skeleton, .spinner', state=\"hidden\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Loading indicators hidden\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for loading indicators to hide\")\n\n # Wait for charts to actually render their content (e.g., ECharts, NVD3)\n # We look for common chart containers that should have content\n try:\n await page.wait_for_selector('.chart-container canvas, .slice_container svg, .superset-chart-canvas, .grid-content .chart-container', timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Chart content detected\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for chart content\")\n\n # Additional check: wait for all chart containers to have non-empty content\n logger.info(\"[DEBUG] Waiting for all charts to have rendered content...\")\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container, .slice_container');\n if (charts.length === 0) return true; // No charts to wait for\n \n // Check if all charts have rendered content (canvas, svg, or non-empty div)\n return Array.from(charts).every(chart => {\n const hasCanvas = chart.querySelector('canvas') !== null;\n const hasSvg = chart.querySelector('svg') !== null;\n const hasContent = chart.innerText.trim().length > 0 || chart.children.length > 0;\n return hasCanvas || hasSvg || hasContent;\n });\n }\"\"\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] All charts have rendered content\")\n\n # Scroll to bottom and back to top to trigger lazy loading of all charts\n logger.info(\"[DEBUG] Scrolling to trigger lazy loading...\")\n await page.evaluate(\"\"\"async () => {\n const delay = ms => new Promise(resolve => setTimeout(resolve, ms));\n for (let i = 0; i < document.body.scrollHeight; i += 500) {\n window.scrollTo(0, i);\n await delay(100);\n }\n window.scrollTo(0, 0);\n await delay(500);\n }\"\"\")\n\n except Exception as e:\n logger.warning(f\"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay\")\n\n # Final stabilization delay - wait for charts to stabilize\n logger.info(\"[DEBUG] Waiting for charts to stabilize...\")\n await self._wait_for_charts_stabilized(page)\n\n # Logic to handle tabs and full-page capture\n try:\n async with asyncio.timeout(SCREENSHOT_SERVICE_TIMEOUT_MS / 1000):\n # 1. Handle Tabs (Recursive switching)\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n processed_tabs = set()\n\n async def switch_tabs(depth=0):\n if depth > 3:\n return # Limit recursion depth\n\n tab_selectors = [\n '.ant-tabs-nav-list .ant-tabs-tab',\n '.dashboard-component-tabs .ant-tabs-tab',\n '[data-test=\"dashboard-component-tabs\"] .ant-tabs-tab'\n ]\n\n found_tabs = []\n for selector in tab_selectors:\n found_tabs = await page.locator(selector).all()\n if found_tabs:\n break\n\n if found_tabs:\n logger.info(f\"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}\")\n for i, tab in enumerate(found_tabs):\n try:\n tab_text = (await tab.inner_text()).strip()\n tab_id = f\"{depth}_{i}_{tab_text}\"\n\n if tab_id in processed_tabs:\n continue\n\n if await tab.is_visible():\n logger.info(f\"[DEBUG][TabSwitching] Switching to tab: {tab_text}\")\n processed_tabs.add(tab_id)\n\n is_active = \"ant-tabs-tab-active\" in (await tab.get_attribute(\"class\") or \"\")\n if not is_active:\n await tab.click()\n # Wait for chart content to render in the newly active tab\n try:\n await page.wait_for_function(\"\"\"() => {\n const activeTab = document.querySelector('.ant-tabs-tab-active');\n if (!activeTab) return true;\n const tabPane = activeTab.closest('.ant-tabs')?.querySelector('.ant-tabs-content-holder');\n if (!tabPane) return true;\n const charts = tabPane.querySelectorAll('canvas, svg');\n return charts.length > 0;\n }\"\"\", timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception:\n logger.warning(f\"[TabSwitching] Content verification timed out for tab: {tab_text}\")\n\n await switch_tabs(depth + 1)\n except Exception as tab_e:\n logger.warning(f\"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}\")\n\n try:\n first_tab = found_tabs[0]\n if \"ant-tabs-tab-active\" not in (await first_tab.get_attribute(\"class\") or \"\"):\n await first_tab.click()\n try:\n await page.wait_for_function(\"\"\"() => {\n const activeTab = document.querySelector('.ant-tabs-tab-active');\n if (!activeTab) return true;\n const tabPane = activeTab.closest('.ant-tabs')?.querySelector('.ant-tabs-content-holder');\n if (!tabPane) return true;\n const charts = tabPane.querySelectorAll('canvas, svg');\n return charts.length > 0;\n }\"\"\", timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n except Exception:\n logger.warning(\"[TabSwitching] Content verification timed out for first tab\")\n except Exception:\n pass\n\n await switch_tabs()\n\n # 2. Calculate full height for screenshot\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n full_height = await page.evaluate(\"\"\"() => {\n const body = document.body;\n const html = document.documentElement;\n const dashboardContent = document.querySelector('.dashboard-content');\n \n return Math.max(\n body.scrollHeight, body.offsetHeight,\n html.clientHeight, html.scrollHeight, html.offsetHeight,\n dashboardContent ? dashboardContent.scrollHeight + 100 : 0\n );\n }\"\"\")\n logger.info(f\"[DEBUG] Calculated full height: {full_height}\")\n\n # DIAGNOSTIC: Count chart elements before resize\n chart_count_before = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements BEFORE viewport resize: {chart_count_before}\")\n\n # DIAGNOSTIC: Capture pre-resize screenshot for comparison\n pre_resize_path = await self._save_debug_screenshot(page, debug_dir, \"preresize.png\")\n if pre_resize_path:\n pre_resize_size = os.path.getsize(pre_resize_path) if os.path.exists(pre_resize_path) else 0\n logger.info(f\"[DIAGNOSTIC] Pre-resize screenshot saved: {pre_resize_path} ({pre_resize_size} bytes)\")\n else:\n logger.warning(\"[DIAGNOSTIC] Failed to capture pre-resize screenshot\")\n\n logger.info(f\"[DIAGNOSTIC] Resizing viewport from current to 1920x{int(full_height)}\")\n await page.set_viewport_size({\"width\": 1920, \"height\": int(full_height)})\n\n # Wait for charts to re-render after viewport resize\n logger.info(\"[DIAGNOSTIC] Waiting for re-render after viewport resize...\")\n await self._wait_for_resize_rendered(page, chart_count_before)\n logger.info(\"[DIAGNOSTIC] Re-render wait completed\")\n\n # DIAGNOSTIC: Count chart elements after resize and wait\n chart_count_after = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements AFTER viewport resize + wait: {chart_count_after}\")\n\n # DIAGNOSTIC: Check if any charts have error states\n chart_errors = await page.evaluate(\"\"\"() => {\n const errors = [];\n document.querySelectorAll('.chart-container, .slice_container').forEach((chart, i) => {\n const errorEl = chart.querySelector('.error, .alert-danger, .ant-alert-error');\n if (errorEl) {\n errors.push({index: i, text: errorEl.innerText.substring(0, 100)});\n }\n });\n return errors;\n }\"\"\")\n if chart_errors:\n logger.warning(f\"[DIAGNOSTIC] Charts with error states detected: {chart_errors}\")\n else:\n logger.info(\"[DIAGNOSTIC] No chart error states detected\")\n\n # 3. Take screenshot using CDP to bypass Playwright's font loading wait\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n logger.info(\"[DEBUG] Attempting full-page screenshot via CDP...\")\n cdp_success = False\n try:\n cdp = await page.context.new_cdp_session(page)\n screenshot_data = await cdp.send(\"Page.captureScreenshot\", {\n \"format\": \"png\",\n \"fromSurface\": True,\n \"captureBeyondViewport\": True\n })\n image_data = base64.b64decode(screenshot_data[\"data\"])\n with open(output_path, 'wb') as f:\n f.write(image_data)\n logger.info(\"Full-page screenshot saved via CDP\")\n cdp_success = True\n except Exception as cdp_err:\n logger.warning(f\"CDP screenshot failed: {cdp_err}. Falling back to Playwright full_page.\")\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n logger.info(\"Full-page screenshot saved via Playwright fallback\")\n cdp_success = True\n\n if cdp_success:\n # DIAGNOSTIC: Verify screenshot file\n final_size = os.path.getsize(output_path) if os.path.exists(output_path) else 0\n logger.info(f\"[DIAGNOSTIC] Final screenshot saved: {output_path}\")\n logger.info(f\"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)\")\n\n # DIAGNOSTIC: Get image dimensions\n try:\n with Image.open(output_path) as final_img:\n logger.info(f\"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}\")\n except Exception as img_err:\n logger.warning(f\"[DIAGNOSTIC] Could not read final image dimensions: {img_err}\")\n except asyncio.TimeoutError:\n logger.error(f\"Screenshot capture timed out after {SCREENSHOT_SERVICE_TIMEOUT_MS}ms\")\n try:\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n logger.info(\"Emergency timeout screenshot saved\")\n except Exception:\n pass\n except Exception as e:\n logger.error(f\"[DEBUG] Full-page/Tab capture failed: {e}\")\n try:\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception as e2:\n logger.error(f\"[DEBUG] Fallback screenshot also failed: {e2}\")\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n\n await browser.close()\n success = True\n return True\n finally:\n if success:\n shutil.rmtree(debug_dir, ignore_errors=True)\n else:\n logger.info(f\"Debug screenshots preserved in {debug_dir}\")\n # endregion ScreenshotService.capture_dashboard\n# #endregion ScreenshotService\n\n# #region LLMClient [TYPE Class]\n# @BRIEF Wrapper for LLM provider APIs.\nclass LLMClient:\n # region LLMClient.__init__ [TYPE Function]\n # @PURPOSE Initializes the LLMClient with provider settings.\n # @PRE api_key, base_url, and default_model are non-empty strings.\n def __init__(self, provider_type: LLMProviderType, api_key: str, base_url: str, default_model: str):\n self.provider_type = provider_type\n normalized_key = (api_key or \"\").strip()\n if normalized_key.lower().startswith(\"bearer \"):\n normalized_key = normalized_key[7:].strip()\n self.api_key = normalized_key\n self.base_url = base_url\n self.default_model = default_model\n\n # DEBUG: Log initialization parameters (without exposing full API key)\n logger.info(\"[LLMClient.__init__] Initializing LLM client:\")\n logger.info(f\"[LLMClient.__init__] Provider Type: {provider_type}\")\n logger.info(f\"[LLMClient.__init__] Base URL: {base_url}\")\n logger.info(f\"[LLMClient.__init__] Default Model: {default_model}\")\n logger.info(f\"[LLMClient.__init__] API Key (first 8 chars): {self.api_key[:8] if self.api_key and len(self.api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n logger.info(f\"[LLMClient.__init__] API Key Length: {len(self.api_key) if self.api_key else 0}\")\n\n # Some OpenAI-compatible gateways are strict about auth header naming.\n default_headers = {\"Authorization\": f\"Bearer {self.api_key}\"}\n if self.provider_type == LLMProviderType.OPENROUTER:\n default_headers[\"HTTP-Referer\"] = (\n os.getenv(\"OPENROUTER_SITE_URL\", \"\").strip()\n or os.getenv(\"APP_BASE_URL\", \"\").strip()\n or \"http://localhost:8000\"\n )\n default_headers[\"X-Title\"] = os.getenv(\"OPENROUTER_APP_NAME\", \"\").strip() or \"ss-tools\"\n if self.provider_type == LLMProviderType.KILO:\n default_headers[\"Authentication\"] = f\"Bearer {self.api_key}\"\n default_headers[\"X-API-Key\"] = self.api_key\n # LiteLLM proxy uses standard OpenAI-compatible Bearer auth — no special headers needed.\n # It routes to upstream providers transparently, and the default Authorization header\n # is sufficient. No additional headers like HTTP-Referer or X-API-Key are required.\n\n http_client = httpx.AsyncClient(headers=default_headers, timeout=LLM_HTTP_TIMEOUT_S)\n self.client = AsyncOpenAI(\n api_key=self.api_key,\n base_url=base_url,\n default_headers=default_headers,\n http_client=http_client,\n )\n # endregion LLMClient.__init__\n\n # region LLMClient._supports_json_response_format [TYPE Function]\n # @PURPOSE Detect whether provider/model is likely compatible with response_format=json_object.\n # @PRE Client initialized with base_url and default_model.\n # @POST Returns False for known-incompatible combinations to avoid avoidable 400 errors.\n def _supports_json_response_format(self) -> bool:\n base = (self.base_url or \"\").lower()\n model = (self.default_model or \"\").lower()\n\n # OpenRouter routes to many upstream providers; some models reject json_object mode.\n if \"openrouter.ai\" in base:\n incompatible_tokens = (\n \"stepfun/\",\n \"step-\",\n \":free\",\n )\n if any(token in model for token in incompatible_tokens):\n return False\n return True\n # endregion LLMClient._supports_json_response_format\n\n # region LLMClient.get_json_completion [TYPE Function]\n # @PURPOSE Helper to handle LLM calls with JSON mode and fallback parsing.\n # @PRE messages is a list of valid message dictionaries.\n # @POST Returns a parsed JSON dictionary.\n # @SIDE_EFFECT Calls external LLM API.\n def _should_retry(exception: Exception) -> bool:\n \"\"\"Custom retry predicate that excludes authentication errors.\"\"\"\n # Don't retry on authentication errors\n if isinstance(exception, OpenAIAuthenticationError):\n return False\n # Retry on rate limit errors and other exceptions\n return isinstance(exception, (RateLimitError, Exception))\n\n @retry(\n stop=stop_after_attempt(5),\n wait=wait_exponential(multiplier=2, min=5, max=60),\n retry=retry_if_exception(_should_retry),\n reraise=True\n )\n async def get_json_completion(self, messages: list[dict[str, Any]]) -> dict[str, Any]:\n with belief_scope(\"get_json_completion\"):\n response = None\n try:\n use_json_mode = self._supports_json_response_format()\n try:\n logger.info(\n f\"[get_json_completion] Attempting LLM call for model: {self.default_model} \"\n f\"(json_mode={'on' if use_json_mode else 'off'})\"\n )\n logger.info(f\"[get_json_completion] Base URL being used: {self.base_url}\")\n logger.info(f\"[get_json_completion] Number of messages: {len(messages)}\")\n logger.info(f\"[get_json_completion] API Key present: {bool(self.api_key and len(self.api_key) > 0)}\")\n\n if use_json_mode:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages,\n response_format={\"type\": \"json_object\"}\n )\n else:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n except Exception as e:\n if use_json_mode and (\n \"JSON mode is not enabled\" in str(e)\n or \"json_object is not supported\" in str(e).lower()\n or \"response_format\" in str(e).lower()\n or \"400\" in str(e)\n ):\n logger.warning(f\"[get_json_completion] JSON mode failed or not supported: {e!s}. Falling back to plain text response.\")\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n else:\n raise e\n\n logger.debug(f\"[get_json_completion] LLM Response: {response}\")\n except OpenAIAuthenticationError as e:\n logger.error(f\"[get_json_completion] Authentication error: {e!s}\")\n # Do not retry on auth errors - re-raise to stop retry\n raise\n except RateLimitError as e:\n logger.warning(f\"[get_json_completion] Rate limit hit: {e!s}\")\n\n # Extract retry_delay from error metadata if available\n retry_delay = 5.0 # Default fallback\n try:\n # Based on logs, the raw response is in e.body or e.response.json()\n # The logs show 'metadata': {'raw': '...'} which suggests a proxy or specific client wrapper\n # Let's try to find the 'retryDelay' in the error message or response\n import re\n\n # Try to find \"retryDelay\": \"XXs\" in the string representation of the error\n error_str = str(e)\n match = re.search(r'\"retryDelay\":\\s*\"(\\d+)s\"', error_str)\n if match:\n retry_delay = float(match.group(1))\n else:\n # Try to parse from response if it's a standard OpenAI-like error with body\n if hasattr(e, 'body') and isinstance(e.body, dict):\n # Some providers put it in details\n details = e.body.get('error', {}).get('details', [])\n for detail in details:\n if detail.get('@type') == 'type.googleapis.com/google.rpc.RetryInfo':\n delay_str = detail.get('retryDelay', '5s')\n retry_delay = float(delay_str.rstrip('s'))\n break\n except Exception as parse_e:\n logger.debug(f\"[get_json_completion] Failed to parse retry delay: {parse_e}\")\n\n # Add a small safety margin (0.5s) as requested\n wait_time = retry_delay + 0.5\n logger.info(f\"[get_json_completion] Waiting for {wait_time}s before retry...\")\n await asyncio.sleep(wait_time)\n raise\n except Exception as e:\n logger.error(f\"[get_json_completion] LLM call failed: {e!s}\")\n raise\n\n if not response or not hasattr(response, 'choices') or not response.choices:\n raise RuntimeError(f\"Invalid LLM response: {response}\")\n\n content = response.choices[0].message.content\n logger.debug(f\"[get_json_completion] Raw content to parse: {content}\")\n\n try:\n return json.loads(content)\n except json.JSONDecodeError:\n logger.warning(\"[get_json_completion] Failed to parse JSON directly, attempting to extract from code blocks\")\n if \"```json\" in content:\n json_str = content.split(\"```json\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n elif \"```\" in content:\n json_str = content.split(\"```\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n else:\n raise\n # endregion LLMClient.get_json_completion\n\n # region LLMClient.test_runtime_connection [TYPE Function]\n # @PURPOSE Validate provider credentials using the same chat completions transport as runtime analysis.\n # @PRE Client is initialized with provider credentials and default_model.\n # @POST Returns lightweight JSON payload when runtime auth/model path is valid.\n # @SIDE_EFFECT Calls external LLM API.\n async def test_runtime_connection(self) -> dict[str, Any]:\n with belief_scope(\"test_runtime_connection\"):\n messages = [\n {\n \"role\": \"user\",\n \"content\": 'Return exactly this JSON object and nothing else: {\"ok\": true}',\n }\n ]\n return await self.get_json_completion(messages)\n # endregion LLMClient.test_runtime_connection\n\n # region LLMClient.fetch_models [TYPE Function]\n # @PURPOSE Fetch available models from the provider's API.\n # @PRE Client is initialized with provider credentials.\n # @POST Returns a list of model ID strings.\n # @SIDE_EFFECT Calls external LLM API /v1/models endpoint.\n async def fetch_models(self) -> list[str]:\n with belief_scope(\"LLMClient.fetch_models\"):\n try:\n response = await self.client.models.list()\n model_ids = [m.id for m in response.data]\n model_ids.sort()\n logger.reason(\n f\"[LLMClient.fetch_models] Fetched {len(model_ids)} models from {self.base_url}\",\n extra={\"src\": \"LLMClient.fetch_models\"},\n )\n return model_ids\n except Exception as e:\n logger.warning(\n f\"[LLMClient.fetch_models] Failed to fetch models: {e}\",\n )\n raise\n # endregion LLMClient.fetch_models\n\n # region LLMClient.analyze_dashboard [TYPE Function]\n # @PURPOSE Sends dashboard data (screenshot + logs) to LLM for health analysis.\n # @PRE screenshot_path exists, logs is a list of strings.\n # @POST Returns a structured analysis dictionary (status, summary, issues).\n # @SIDE_EFFECT Reads screenshot file and calls external LLM API.\n async def analyze_dashboard(\n self,\n screenshot_path: str,\n logs: list[str],\n prompt_template: str = DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n ) -> dict[str, Any]:\n with belief_scope(\"analyze_dashboard\"):\n # Optimize image to reduce token count (US1 / T023)\n # Gemini/Gemma models have limits on input tokens, and large images contribute significantly.\n try:\n with Image.open(screenshot_path) as img:\n # Convert to RGB if necessary\n if img.mode in (\"RGBA\", \"P\"):\n img = img.convert(\"RGB\")\n\n # Resize if too large (max 1024px width while maintaining aspect ratio)\n # We reduce width further to 1024px to stay within token limits for long dashboards\n max_width = 1024\n if img.width > max_width or img.height > 2048:\n # Calculate scaling factor to fit within 1024x2048\n scale = min(max_width / img.width, 2048 / img.height)\n if scale < 1.0:\n new_width = int(img.width * scale)\n new_height = int(img.height * scale)\n img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)\n logger.info(f\"[analyze_dashboard] Resized image from {img.width}x{img.height} to {new_width}x{new_height}\")\n\n # Compress and convert to base64\n buffer = io.BytesIO()\n # Lower quality to 60% to further reduce payload size\n img.save(buffer, format=\"JPEG\", quality=60, optimize=True)\n base_64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')\n logger.info(f\"[analyze_dashboard] Optimized image size: {len(buffer.getvalue()) / 1024:.2f} KB\")\n except Exception as img_e:\n logger.warning(f\"[analyze_dashboard] Image optimization failed: {img_e}. Using raw image.\")\n with open(screenshot_path, \"rb\") as image_file:\n base_64_image = base64.b64encode(image_file.read()).decode('utf-8')\n\n log_text = \"\\n\".join(logs)\n prompt = render_prompt(prompt_template, {\"logs\": log_text})\n\n messages = [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"text\", \"text\": prompt},\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": f\"data:image/jpeg;base64,{base_64_image}\"\n }\n }\n ]\n }\n ]\n\n try:\n return await self.get_json_completion(messages)\n except Exception as e:\n logger.error(f\"[analyze_dashboard] Failed to get analysis: {e!s}\")\n return {\n \"status\": \"UNKNOWN\",\n \"summary\": f\"Failed to get response from LLM: {e!s}\",\n \"issues\": [{\"severity\": \"UNKNOWN\", \"message\": \"LLM provider returned empty or invalid response\"}]\n }\n # endregion LLMClient.analyze_dashboard\n\n# #endregion LLMClient\n\n# #endregion LLMAnalysisService\n" }, { "contract_id": "ScreenshotService", "contract_type": "Class", "file_path": "backend/src/plugins/llm_analysis/service.py", - "start_line": 39, - "end_line": 686, + "start_line": 41, + "end_line": 790, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -35722,14 +37004,14 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region ScreenshotService [TYPE Class]\n# @BRIEF Handles capturing screenshots of Superset dashboards.\nclass ScreenshotService:\n # region ScreenshotService.__init__ [TYPE Function]\n # @PURPOSE Initializes the ScreenshotService with environment configuration.\n # @PRE env is a valid Environment object.\n def __init__(self, env: Environment):\n self.env = env\n # endregion ScreenshotService.__init__\n\n # region ScreenshotService._find_first_visible_locator [TYPE Function]\n # @PURPOSE Resolve the first visible locator from multiple Playwright locator strategies.\n # @PRE candidates is a non-empty list of locator-like objects.\n # @POST Returns a locator ready for interaction or None when nothing matches.\n async def _find_first_visible_locator(self, candidates) -> Any:\n for locator in candidates:\n try:\n match_count = await locator.count()\n for index in range(match_count):\n candidate = locator.nth(index)\n if await candidate.is_visible():\n return candidate\n except Exception:\n continue\n return None\n # endregion ScreenshotService._find_first_visible_locator\n\n # region ScreenshotService._iter_login_roots [TYPE Function]\n # @PURPOSE Enumerate page and child frames where login controls may be rendered.\n # @PRE page is a Playwright page-like object.\n # @POST Returns ordered roots starting with main page followed by frames.\n def _iter_login_roots(self, page) -> list[Any]:\n roots = [page]\n page_frames = getattr(page, \"frames\", [])\n try:\n for frame in page_frames:\n if frame not in roots:\n roots.append(frame)\n except Exception:\n pass\n return roots\n # endregion ScreenshotService._iter_login_roots\n\n # region ScreenshotService._extract_hidden_login_fields [TYPE Function]\n # @PURPOSE Collect hidden form fields required for direct login POST fallback.\n # @PRE Login page is loaded.\n # @POST Returns hidden input name/value mapping aggregated from page and child frames.\n async def _extract_hidden_login_fields(self, page) -> dict[str, str]:\n hidden_fields: dict[str, str] = {}\n for root in self._iter_login_roots(page):\n try:\n locator = root.locator(\"input[type='hidden'][name]\")\n count = await locator.count()\n for index in range(count):\n candidate = locator.nth(index)\n field_name = str(await candidate.get_attribute(\"name\") or \"\").strip()\n if not field_name or field_name in hidden_fields:\n continue\n hidden_fields[field_name] = str(await candidate.input_value()).strip()\n except Exception:\n continue\n return hidden_fields\n # endregion ScreenshotService._extract_hidden_login_fields\n\n # region ScreenshotService._extract_csrf_token [TYPE Function]\n # @PURPOSE Resolve CSRF token value from main page or embedded login frame.\n # @PRE Login page is loaded.\n # @POST Returns first non-empty csrf token or empty string.\n async def _extract_csrf_token(self, page) -> str:\n hidden_fields = await self._extract_hidden_login_fields(page)\n return str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n # endregion ScreenshotService._extract_csrf_token\n\n # region ScreenshotService._response_looks_like_login_page [TYPE Function]\n # @PURPOSE Detect when fallback login POST returned the login form again instead of an authenticated page.\n # @PRE response_text is normalized HTML or text from login POST response.\n # @POST Returns True when login-page markers dominate the response body.\n def _response_looks_like_login_page(self, response_text: str) -> bool:\n normalized = str(response_text or \"\").strip().lower()\n if not normalized:\n return False\n\n markers = [\n \"enter your login and password below\",\n \"username:\",\n \"password:\",\n \"sign in\",\n 'name=\"csrf_token\"',\n ]\n return sum(marker in normalized for marker in markers) >= 3\n # endregion ScreenshotService._response_looks_like_login_page\n\n # region ScreenshotService._redirect_looks_authenticated [TYPE Function]\n # @PURPOSE Treat non-login redirects after form POST as successful authentication without waiting for redirect target.\n # @PRE redirect_location may be empty or relative.\n # @POST Returns True when redirect target does not point back to login flow.\n def _redirect_looks_authenticated(self, redirect_location: str) -> bool:\n normalized = str(redirect_location or \"\").strip().lower()\n if not normalized:\n return True\n return \"/login\" not in normalized\n # endregion ScreenshotService._redirect_looks_authenticated\n\n # region ScreenshotService._submit_login_via_form_post [TYPE Function]\n # @PURPOSE Fallback login path that submits credentials directly with csrf token.\n # @PRE login_url is same-origin and csrf token can be read from DOM.\n # @POST Browser context receives authenticated cookies when login succeeds.\n async def _submit_login_via_form_post(self, page, login_url: str) -> bool:\n hidden_fields = await self._extract_hidden_login_fields(page)\n csrf_token = str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n if not csrf_token:\n logger.warning(\"[DEBUG] Direct form login fallback skipped: csrf_token not found\")\n return False\n\n try:\n request_context = page.context.request\n except Exception as context_error:\n logger.warning(f\"[DEBUG] Direct form login fallback skipped: request context unavailable: {context_error}\")\n return False\n\n parsed_url = urlsplit(login_url)\n origin = f\"{parsed_url.scheme}://{parsed_url.netloc}\" if parsed_url.scheme and parsed_url.netloc else login_url\n payload = dict(hidden_fields)\n payload[\"username\"] = self.env.username\n payload[\"password\"] = self.env.password\n logger.info(\n f\"[DEBUG] Attempting direct form login fallback via browser context request with hidden fields: {sorted(hidden_fields.keys())}\"\n )\n\n response = await request_context.post(\n login_url,\n form=payload,\n headers={\n \"Origin\": origin,\n \"Referer\": login_url,\n },\n timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS,\n fail_on_status_code=False,\n max_redirects=0,\n )\n response_url = str(getattr(response, \"url\", \"\") or \"\")\n response_status = int(getattr(response, \"status\", 0) or 0)\n response_headers = dict(getattr(response, \"headers\", {}) or {})\n redirect_location = str(\n response_headers.get(\"location\")\n or response_headers.get(\"Location\")\n or \"\"\n ).strip()\n redirect_statuses = {301, 302, 303, 307, 308}\n if response_status in redirect_statuses:\n redirect_authenticated = self._redirect_looks_authenticated(redirect_location)\n logger.info(\n f\"[DEBUG] Direct form login fallback redirect response: status={response_status} url={response_url} location={redirect_location!r} authenticated={redirect_authenticated}\"\n )\n return redirect_authenticated\n\n response_text = await response.text()\n text_snippet = \" \".join(response_text.split())[:200]\n looks_like_login_page = self._response_looks_like_login_page(response_text)\n logger.info(\n f\"[DEBUG] Direct form login fallback response: status={response_status} url={response_url} login_markup={looks_like_login_page} snippet={text_snippet!r}\"\n )\n return not looks_like_login_page\n # endregion ScreenshotService._submit_login_via_form_post\n\n # region ScreenshotService._find_login_field_locator [TYPE Function]\n # @PURPOSE Resolve login form input using semantic label text plus generic visible-input fallbacks.\n # @PRE field_name is `username` or `password`.\n # @POST Returns a locator for the corresponding input or None.\n async def _find_login_field_locator(self, page, field_name: str) -> Any:\n normalized = str(field_name or \"\").strip().lower()\n for root in self._iter_login_roots(page):\n if normalized == \"username\":\n input_candidates = [\n root.get_by_label(\"Username\", exact=False),\n root.get_by_label(\"Login\", exact=False),\n root.locator(\"label:text-matches('Username|Login', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Username|Login/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='username']\"),\n root.locator(\"input#username\"),\n root.locator(\"input[placeholder*='Username']\"),\n root.locator(\"input[type='text']\"),\n root.locator(\"input:not([type='password'])\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n if normalized == \"password\":\n input_candidates = [\n root.get_by_label(\"Password\", exact=False),\n root.locator(\"label:text-matches('Password', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Password/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='password']\"),\n root.locator(\"input#password\"),\n root.locator(\"input[placeholder*='Password']\"),\n root.locator(\"input[type='password']\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n return None\n # endregion ScreenshotService._find_login_field_locator\n\n # region ScreenshotService._find_submit_locator [TYPE Function]\n # @PURPOSE Resolve login submit button from main page or embedded auth frame.\n # @PRE page is ready for login interaction.\n # @POST Returns visible submit locator or None.\n async def _find_submit_locator(self, page) -> Any:\n selectors = [\n lambda root: root.get_by_role(\"button\", name=\"Sign in\", exact=False),\n lambda root: root.get_by_role(\"button\", name=\"Login\", exact=False),\n lambda root: root.locator(\"button[type='submit']\"),\n lambda root: root.locator(\"button#submit\"),\n lambda root: root.locator(\".btn-primary\"),\n lambda root: root.locator(\"input[type='submit']\"),\n ]\n for root in self._iter_login_roots(page):\n locator = await self._find_first_visible_locator([factory(root) for factory in selectors])\n if locator:\n return locator\n return None\n # endregion ScreenshotService._find_submit_locator\n\n # region ScreenshotService._goto_resilient [TYPE Function]\n # @PURPOSE Navigate without relying on networkidle for pages with long-polling or persistent requests.\n # @PRE page is a valid Playwright page and url is non-empty.\n # @POST Returns last navigation response or raises when both primary and fallback waits fail.\n async def _goto_resilient(\n self,\n page,\n url: str,\n primary_wait_until: str = \"domcontentloaded\",\n fallback_wait_until: str = \"load\",\n timeout: int = HTTP_REQUEST_TIMEOUT_MS,\n ):\n try:\n return await page.goto(url, wait_until=primary_wait_until, timeout=timeout)\n except Exception as primary_error:\n logger.warning(\n f\"[ScreenshotService._goto_resilient] Primary navigation wait '{primary_wait_until}' failed for {url}: {primary_error}\"\n )\n return await page.goto(url, wait_until=fallback_wait_until, timeout=timeout)\n # endregion ScreenshotService._goto_resilient\n\n # region ScreenshotService.capture_dashboard [TYPE Function]\n # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP.\n # @PRE dashboard_id is a valid string, output_path is a writable path.\n # @POST Returns True if screenshot is saved successfully.\n # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, and writes a PNG file.\n # @UX_STATE [Navigating] -> Loading dashboard UI\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool:\n with belief_scope(\"capture_dashboard\", f\"dashboard_id={dashboard_id}\"):\n logger.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n async with async_playwright() as p:\n browser = await p.chromium.launch(\n headless=True,\n args=[\n \"--disable-blink-features=AutomationControlled\",\n \"--disable-infobars\",\n \"--no-sandbox\"\n ]\n )\n # Set a realistic user agent to avoid 403 Forbidden from OpenResty/WAF\n user_agent = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36\"\n # Construct base UI URL from environment (strip /api/v1 suffix)\n base_ui_url = self.env.url.rstrip(\"/\")\n if base_ui_url.endswith(\"/api/v1\"):\n base_ui_url = base_ui_url[:-len(\"/api/v1\")]\n\n # Create browser context with realistic headers\n context = await browser.new_context(\n viewport={'width': 1280, 'height': 720},\n user_agent=user_agent,\n extra_http_headers={\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n \"Accept-Language\": \"ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7\",\n \"Upgrade-Insecure-Requests\": \"1\",\n \"Sec-Fetch-Dest\": \"document\",\n \"Sec-Fetch-Mode\": \"navigate\",\n \"Sec-Fetch-Site\": \"none\",\n \"Sec-Fetch-User\": \"?1\"\n }\n )\n logger.info(\"Browser context created successfully\")\n\n page = await context.new_page()\n # Bypass navigator.webdriver detection\n await page.add_init_script(\"delete Object.getPrototypeOf(navigator).webdriver\")\n\n # 1. Navigate to login page and authenticate\n login_url = f\"{base_ui_url.rstrip('/')}/login/\"\n logger.info(f\"[DEBUG] Navigating to login page: {login_url}\")\n\n response = await self._goto_resilient(\n page,\n login_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n if response:\n logger.info(f\"[DEBUG] Login page response status: {response.status}\")\n\n # Wait for login form to be ready\n await page.wait_for_load_state(\"domcontentloaded\")\n\n # More exhaustive list of selectors for various Superset versions/themes\n selectors = {\n \"username\": ['input[name=\"username\"]', 'input#username', 'input[placeholder*=\"Username\"]', 'input[type=\"text\"]'],\n \"password\": ['input[name=\"password\"]', 'input#password', 'input[placeholder*=\"Password\"]', 'input[type=\"password\"]'],\n \"submit\": ['button[type=\"submit\"]', 'button#submit', '.btn-primary', 'input[type=\"submit\"]']\n }\n logger.info(\"[DEBUG] Attempting to find login form elements...\")\n\n try:\n used_direct_form_login = False\n # Find and fill username\n username_locator = await self._find_login_field_locator(page, \"username\")\n\n if not username_locator:\n roots = self._iter_login_roots(page)\n logger.info(f\"[DEBUG] Found {len(roots)} login roots including child frames\")\n for root_index, root in enumerate(roots[:5]):\n all_inputs = await root.locator('input').all()\n logger.info(f\"[DEBUG] Root {root_index}: found {len(all_inputs)} input fields\")\n for i, inp in enumerate(all_inputs[:5]): # Log first 5\n inp_type = await inp.get_attribute('type')\n inp_name = await inp.get_attribute('name')\n inp_id = await inp.get_attribute('id')\n logger.info(f\"[DEBUG] Root {root_index} input {i}: type={inp_type}, name={inp_name}, id={inp_id}\")\n used_direct_form_login = await self._submit_login_via_form_post(page, login_url)\n if not used_direct_form_login:\n raise RuntimeError(\"Could not find username input field on login page\")\n username_locator = None\n\n if username_locator is not None:\n logger.info(\"[DEBUG] Filling username field\")\n await username_locator.fill(self.env.username)\n\n # Find and fill password\n password_locator = await self._find_login_field_locator(page, \"password\") if username_locator is not None else None\n\n if username_locator is not None and not password_locator:\n raise RuntimeError(\"Could not find password input field on login page\")\n\n if password_locator is not None:\n logger.info(\"[DEBUG] Filling password field\")\n await password_locator.fill(self.env.password)\n\n # Click submit\n submit_locator = await self._find_submit_locator(page) if username_locator is not None else None\n\n if username_locator is not None and not submit_locator:\n raise RuntimeError(\"Could not find submit button on login page\")\n\n if submit_locator is not None:\n logger.info(\"[DEBUG] Clicking submit button\")\n await submit_locator.click()\n\n # Wait for navigation after login\n if not used_direct_form_login:\n try:\n await page.wait_for_load_state(\"load\", timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n except Exception as load_wait_error:\n logger.warning(f\"[DEBUG] Login post-submit load wait timed out: {load_wait_error}\")\n\n # Check if login was successful\n if not used_direct_form_login and \"/login\" in page.url:\n # Check for error messages on page\n error_msg = await page.locator(\".alert-danger, .error-message\").text_content() if await page.locator(\".alert-danger, .error-message\").count() > 0 else \"Unknown error\"\n logger.error(f\"[DEBUG] Login failed. Still on login page. Error: {error_msg}\")\n debug_path = output_path.replace(\".png\", \"_debug_failed_login.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(f\"Login failed: {error_msg}. Debug screenshot saved to {debug_path}\")\n\n logger.info(f\"[DEBUG] Login successful. Current URL: {page.url}\")\n\n # Check cookies after successful login\n page_cookies = await context.cookies()\n logger.info(f\"[DEBUG] Cookies after login: {len(page_cookies)}\")\n for c in page_cookies:\n logger.info(f\"[DEBUG] Cookie: name={c['name']}, domain={c['domain']}, value={c.get('value', '')[:20]}...\")\n\n except Exception as e:\n page_title = await page.title()\n logger.error(f\"UI Login failed. Page title: {page_title}, URL: {page.url}, Error: {e!s}\")\n debug_path = output_path.replace(\".png\", \"_debug_failed_login.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(f\"Login failed: {e!s}. Debug screenshot saved to {debug_path}\")\n\n # 2. Navigate to dashboard\n # @UX_STATE [Navigating] -> Loading dashboard UI\n dashboard_url = f\"{base_ui_url.rstrip('/')}/superset/dashboard/{dashboard_id}/?standalone=true\"\n\n if base_ui_url.startswith(\"https://\") and dashboard_url.startswith(\"http://\"):\n dashboard_url = dashboard_url.replace(\"http://\", \"https://\")\n\n logger.info(f\"[DEBUG] Navigating to dashboard: {dashboard_url}\")\n\n # Dashboard pages can keep polling/network activity open indefinitely.\n response = await self._goto_resilient(\n page,\n dashboard_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n\n if response:\n logger.info(f\"[DEBUG] Dashboard navigation response status: {response.status}, URL: {response.url}\")\n\n if \"/login\" in page.url:\n debug_path = output_path.replace(\".png\", \"_debug_failed_dashboard_auth.png\")\n await page.screenshot(path=debug_path)\n raise RuntimeError(\n f\"Dashboard navigation redirected to login page after authentication. Debug screenshot saved to {debug_path}\"\n )\n\n try:\n # Wait for the dashboard grid to be present\n await page.wait_for_selector('.dashboard-component, .dashboard-header, [data-test=\"dashboard-grid\"]', timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n logger.info(\"[DEBUG] Dashboard container loaded\")\n\n # Wait for charts to finish loading (Superset uses loading spinners/skeletons)\n # We wait until loading indicators disappear or a timeout occurs\n try:\n # Wait for loading indicators to disappear\n await page.wait_for_selector('.loading, .ant-skeleton, .spinner', state=\"hidden\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Loading indicators hidden\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for loading indicators to hide\")\n\n # Wait for charts to actually render their content (e.g., ECharts, NVD3)\n # We look for common chart containers that should have content\n try:\n await page.wait_for_selector('.chart-container canvas, .slice_container svg, .superset-chart-canvas, .grid-content .chart-container', timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Chart content detected\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for chart content\")\n\n # Additional check: wait for all chart containers to have non-empty content\n logger.info(\"[DEBUG] Waiting for all charts to have rendered content...\")\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container, .slice_container');\n if (charts.length === 0) return true; // No charts to wait for\n \n // Check if all charts have rendered content (canvas, svg, or non-empty div)\n return Array.from(charts).every(chart => {\n const hasCanvas = chart.querySelector('canvas') !== null;\n const hasSvg = chart.querySelector('svg') !== null;\n const hasContent = chart.innerText.trim().length > 0 || chart.children.length > 0;\n return hasCanvas || hasSvg || hasContent;\n });\n }\"\"\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] All charts have rendered content\")\n\n # Scroll to bottom and back to top to trigger lazy loading of all charts\n logger.info(\"[DEBUG] Scrolling to trigger lazy loading...\")\n await page.evaluate(\"\"\"async () => {\n const delay = ms => new Promise(resolve => setTimeout(resolve, ms));\n for (let i = 0; i < document.body.scrollHeight; i += 500) {\n window.scrollTo(0, i);\n await delay(100);\n }\n window.scrollTo(0, 0);\n await delay(500);\n }\"\"\")\n\n except Exception as e:\n logger.warning(f\"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay\")\n\n # Final stabilization delay - increased for complex dashboards\n logger.info(\"[DEBUG] Final stabilization delay...\")\n await asyncio.sleep(15)\n\n # Logic to handle tabs and full-page capture\n try:\n # 1. Handle Tabs (Recursive switching)\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n processed_tabs = set()\n\n async def switch_tabs(depth=0):\n if depth > 3:\n return # Limit recursion depth\n\n tab_selectors = [\n '.ant-tabs-nav-list .ant-tabs-tab',\n '.dashboard-component-tabs .ant-tabs-tab',\n '[data-test=\"dashboard-component-tabs\"] .ant-tabs-tab'\n ]\n\n found_tabs = []\n for selector in tab_selectors:\n found_tabs = await page.locator(selector).all()\n if found_tabs:\n break\n\n if found_tabs:\n logger.info(f\"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}\")\n for i, tab in enumerate(found_tabs):\n try:\n tab_text = (await tab.inner_text()).strip()\n tab_id = f\"{depth}_{i}_{tab_text}\"\n\n if tab_id in processed_tabs:\n continue\n\n if await tab.is_visible():\n logger.info(f\"[DEBUG][TabSwitching] Switching to tab: {tab_text}\")\n processed_tabs.add(tab_id)\n\n is_active = \"ant-tabs-tab-active\" in (await tab.get_attribute(\"class\") or \"\")\n if not is_active:\n await tab.click()\n await asyncio.sleep(2) # Wait for content to render\n\n await switch_tabs(depth + 1)\n except Exception as tab_e:\n logger.warning(f\"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}\")\n\n try:\n first_tab = found_tabs[0]\n if \"ant-tabs-tab-active\" not in (await first_tab.get_attribute(\"class\") or \"\"):\n await first_tab.click()\n await asyncio.sleep(1)\n except Exception:\n pass\n\n await switch_tabs()\n\n # 2. Calculate full height for screenshot\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n full_height = await page.evaluate(\"\"\"() => {\n const body = document.body;\n const html = document.documentElement;\n const dashboardContent = document.querySelector('.dashboard-content');\n \n return Math.max(\n body.scrollHeight, body.offsetHeight,\n html.clientHeight, html.scrollHeight, html.offsetHeight,\n dashboardContent ? dashboardContent.scrollHeight + 100 : 0\n );\n }\"\"\")\n logger.info(f\"[DEBUG] Calculated full height: {full_height}\")\n\n # DIAGNOSTIC: Count chart elements before resize\n chart_count_before = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements BEFORE viewport resize: {chart_count_before}\")\n\n # DIAGNOSTIC: Capture pre-resize screenshot for comparison\n pre_resize_path = output_path.replace(\".png\", \"_preresize.png\")\n try:\n await page.screenshot(path=pre_resize_path, full_page=False, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n import os\n pre_resize_size = os.path.getsize(pre_resize_path) if os.path.exists(pre_resize_path) else 0\n logger.info(f\"[DIAGNOSTIC] Pre-resize screenshot saved: {pre_resize_path} ({pre_resize_size} bytes)\")\n except Exception as pre_e:\n logger.warning(f\"[DIAGNOSTIC] Failed to capture pre-resize screenshot: {pre_e}\")\n\n logger.info(f\"[DIAGNOSTIC] Resizing viewport from current to 1920x{int(full_height)}\")\n await page.set_viewport_size({\"width\": 1920, \"height\": int(full_height)})\n\n # DIAGNOSTIC: Increased wait time and log timing\n logger.info(\"[DIAGNOSTIC] Waiting 10 seconds after viewport resize for re-render...\")\n await asyncio.sleep(10)\n logger.info(\"[DIAGNOSTIC] Wait completed\")\n\n # DIAGNOSTIC: Count chart elements after resize and wait\n chart_count_after = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements AFTER viewport resize + wait: {chart_count_after}\")\n\n # DIAGNOSTIC: Check if any charts have error states\n chart_errors = await page.evaluate(\"\"\"() => {\n const errors = [];\n document.querySelectorAll('.chart-container, .slice_container').forEach((chart, i) => {\n const errorEl = chart.querySelector('.error, .alert-danger, .ant-alert-error');\n if (errorEl) {\n errors.push({index: i, text: errorEl.innerText.substring(0, 100)});\n }\n });\n return errors;\n }\"\"\")\n if chart_errors:\n logger.warning(f\"[DIAGNOSTIC] Charts with error states detected: {chart_errors}\")\n else:\n logger.info(\"[DIAGNOSTIC] No chart error states detected\")\n\n # 3. Take screenshot using CDP to bypass Playwright's font loading wait\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n logger.info(\"[DEBUG] Attempting full-page screenshot via CDP...\")\n cdp = await page.context.new_cdp_session(page)\n\n screenshot_data = await cdp.send(\"Page.captureScreenshot\", {\n \"format\": \"png\",\n \"fromSurface\": True,\n \"captureBeyondViewport\": True\n })\n\n image_data = base64.b64decode(screenshot_data[\"data\"])\n\n with open(output_path, 'wb') as f:\n f.write(image_data)\n\n # DIAGNOSTIC: Verify screenshot file\n import os\n final_size = os.path.getsize(output_path) if os.path.exists(output_path) else 0\n logger.info(f\"[DIAGNOSTIC] Final screenshot saved: {output_path}\")\n logger.info(f\"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)\")\n\n # DIAGNOSTIC: Get image dimensions\n try:\n with Image.open(output_path) as final_img:\n logger.info(f\"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}\")\n except Exception as img_err:\n logger.warning(f\"[DIAGNOSTIC] Could not read final image dimensions: {img_err}\")\n\n logger.info(f\"Full-page screenshot saved to {output_path} (via CDP)\")\n except Exception as e:\n logger.error(f\"[DEBUG] Full-page/Tab capture failed: {e}\")\n try:\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception as e2:\n logger.error(f\"[DEBUG] Fallback screenshot also failed: {e2}\")\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n\n await browser.close()\n return True\n # endregion ScreenshotService.capture_dashboard\n# #endregion ScreenshotService\n" + "body": "# #region ScreenshotService [TYPE Class]\n# @BRIEF Handles capturing screenshots of Superset dashboards.\nclass ScreenshotService:\n # region ScreenshotService.__init__ [TYPE Function]\n # @PURPOSE Initializes the ScreenshotService with environment configuration.\n # @PRE env is a valid Environment object.\n def __init__(self, env: Environment):\n self.env = env\n # endregion ScreenshotService.__init__\n\n # region ScreenshotService._find_first_visible_locator [TYPE Function]\n # @PURPOSE Resolve the first visible locator from multiple Playwright locator strategies.\n # @PRE candidates is a non-empty list of locator-like objects.\n # @POST Returns a locator ready for interaction or None when nothing matches.\n async def _find_first_visible_locator(self, candidates) -> Any:\n for locator in candidates:\n try:\n match_count = await locator.count()\n for index in range(match_count):\n candidate = locator.nth(index)\n if await candidate.is_visible():\n return candidate\n except Exception:\n continue\n return None\n # endregion ScreenshotService._find_first_visible_locator\n\n # region ScreenshotService._iter_login_roots [TYPE Function]\n # @PURPOSE Enumerate page and child frames where login controls may be rendered.\n # @PRE page is a Playwright page-like object.\n # @POST Returns ordered roots starting with main page followed by frames.\n def _iter_login_roots(self, page) -> list[Any]:\n roots = [page]\n page_frames = getattr(page, \"frames\", [])\n try:\n for frame in page_frames:\n if frame not in roots:\n roots.append(frame)\n except Exception:\n pass\n return roots\n # endregion ScreenshotService._iter_login_roots\n\n # region ScreenshotService._extract_hidden_login_fields [TYPE Function]\n # @PURPOSE Collect hidden form fields required for direct login POST fallback.\n # @PRE Login page is loaded.\n # @POST Returns hidden input name/value mapping aggregated from page and child frames.\n async def _extract_hidden_login_fields(self, page) -> dict[str, str]:\n hidden_fields: dict[str, str] = {}\n for root in self._iter_login_roots(page):\n try:\n locator = root.locator(\"input[type='hidden'][name]\")\n count = await locator.count()\n for index in range(count):\n candidate = locator.nth(index)\n field_name = str(await candidate.get_attribute(\"name\") or \"\").strip()\n if not field_name or field_name in hidden_fields:\n continue\n hidden_fields[field_name] = str(await candidate.input_value()).strip()\n except Exception:\n continue\n return hidden_fields\n # endregion ScreenshotService._extract_hidden_login_fields\n\n # region ScreenshotService._extract_csrf_token [TYPE Function]\n # @PURPOSE Resolve CSRF token value from main page or embedded login frame.\n # @PRE Login page is loaded.\n # @POST Returns first non-empty csrf token or empty string.\n async def _extract_csrf_token(self, page) -> str:\n hidden_fields = await self._extract_hidden_login_fields(page)\n return str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n # endregion ScreenshotService._extract_csrf_token\n\n # region ScreenshotService._response_looks_like_login_page [TYPE Function]\n # @PURPOSE Detect when fallback login POST returned the login form again instead of an authenticated page.\n # @PRE response_text is normalized HTML or text from login POST response.\n # @POST Returns True when login-page markers dominate the response body.\n def _response_looks_like_login_page(self, response_text: str) -> bool:\n normalized = str(response_text or \"\").strip().lower()\n if not normalized:\n return False\n\n markers = [\n \"enter your login and password below\",\n \"username:\",\n \"password:\",\n \"sign in\",\n 'name=\"csrf_token\"',\n ]\n return sum(marker in normalized for marker in markers) >= 3\n # endregion ScreenshotService._response_looks_like_login_page\n\n # region ScreenshotService._redirect_looks_authenticated [TYPE Function]\n # @PURPOSE Treat non-login redirects after form POST as successful authentication without waiting for redirect target.\n # @PRE redirect_location may be empty or relative.\n # @POST Returns True when redirect target does not point back to login flow.\n def _redirect_looks_authenticated(self, redirect_location: str) -> bool:\n normalized = str(redirect_location or \"\").strip().lower()\n if not normalized:\n return True\n return \"/login\" not in normalized\n # endregion ScreenshotService._redirect_looks_authenticated\n\n # region ScreenshotService._submit_login_via_form_post [TYPE Function]\n # @PURPOSE Fallback login path that submits credentials directly with csrf token.\n # @PRE login_url is same-origin and csrf token can be read from DOM.\n # @POST Browser context receives authenticated cookies when login succeeds.\n async def _submit_login_via_form_post(self, page, login_url: str) -> bool:\n hidden_fields = await self._extract_hidden_login_fields(page)\n csrf_token = str(hidden_fields.get(\"csrf_token\") or \"\").strip()\n if not csrf_token:\n logger.warning(\"[DEBUG] Direct form login fallback skipped: csrf_token not found\")\n return False\n\n try:\n request_context = page.context.request\n except Exception as context_error:\n logger.warning(f\"[DEBUG] Direct form login fallback skipped: request context unavailable: {context_error}\")\n return False\n\n parsed_url = urlsplit(login_url)\n origin = f\"{parsed_url.scheme}://{parsed_url.netloc}\" if parsed_url.scheme and parsed_url.netloc else login_url\n payload = dict(hidden_fields)\n payload[\"username\"] = self.env.username\n payload[\"password\"] = self.env.password\n logger.info(\n f\"[DEBUG] Attempting direct form login fallback via browser context request with hidden fields: {sorted(hidden_fields.keys())}\"\n )\n\n response = await request_context.post(\n login_url,\n form=payload,\n headers={\n \"Origin\": origin,\n \"Referer\": login_url,\n },\n timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS,\n fail_on_status_code=False,\n max_redirects=0,\n )\n response_url = str(getattr(response, \"url\", \"\") or \"\")\n response_status = int(getattr(response, \"status\", 0) or 0)\n response_headers = dict(getattr(response, \"headers\", {}) or {})\n redirect_location = str(\n response_headers.get(\"location\")\n or response_headers.get(\"Location\")\n or \"\"\n ).strip()\n redirect_statuses = {301, 302, 303, 307, 308}\n if response_status in redirect_statuses:\n redirect_authenticated = self._redirect_looks_authenticated(redirect_location)\n logger.info(\n f\"[DEBUG] Direct form login fallback redirect response: status={response_status} url={response_url} location={redirect_location!r} authenticated={redirect_authenticated}\"\n )\n return redirect_authenticated\n\n response_text = await response.text()\n text_snippet = \" \".join(response_text.split())[:200]\n looks_like_login_page = self._response_looks_like_login_page(response_text)\n logger.info(\n f\"[DEBUG] Direct form login fallback response: status={response_status} url={response_url} login_markup={looks_like_login_page} snippet={text_snippet!r}\"\n )\n return not looks_like_login_page\n # endregion ScreenshotService._submit_login_via_form_post\n\n # region ScreenshotService._find_login_field_locator [TYPE Function]\n # @PURPOSE Resolve login form input using semantic label text plus generic visible-input fallbacks.\n # @PRE field_name is `username` or `password`.\n # @POST Returns a locator for the corresponding input or None.\n async def _find_login_field_locator(self, page, field_name: str) -> Any:\n normalized = str(field_name or \"\").strip().lower()\n for root in self._iter_login_roots(page):\n if normalized == \"username\":\n input_candidates = [\n root.get_by_label(\"Username\", exact=False),\n root.get_by_label(\"Login\", exact=False),\n root.locator(\"label:text-matches('Username|Login', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Username|Login/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='username']\"),\n root.locator(\"input#username\"),\n root.locator(\"input[placeholder*='Username']\"),\n root.locator(\"input[type='text']\"),\n root.locator(\"input:not([type='password'])\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n if normalized == \"password\":\n input_candidates = [\n root.get_by_label(\"Password\", exact=False),\n root.locator(\"label:text-matches('Password', 'i')\").locator(\"xpath=following::input[1]\"),\n root.locator(\"text=/Password/i\").locator(\"xpath=following::input[1]\"),\n root.locator(\"input[name='password']\"),\n root.locator(\"input#password\"),\n root.locator(\"input[placeholder*='Password']\"),\n root.locator(\"input[type='password']\"),\n ]\n locator = await self._find_first_visible_locator(input_candidates)\n if locator:\n return locator\n\n return None\n # endregion ScreenshotService._find_login_field_locator\n\n # region ScreenshotService._find_submit_locator [TYPE Function]\n # @PURPOSE Resolve login submit button from main page or embedded auth frame.\n # @PRE page is ready for login interaction.\n # @POST Returns visible submit locator or None.\n async def _find_submit_locator(self, page) -> Any:\n selectors = [\n lambda root: root.get_by_role(\"button\", name=\"Sign in\", exact=False),\n lambda root: root.get_by_role(\"button\", name=\"Login\", exact=False),\n lambda root: root.locator(\"button[type='submit']\"),\n lambda root: root.locator(\"button#submit\"),\n lambda root: root.locator(\".btn-primary\"),\n lambda root: root.locator(\"input[type='submit']\"),\n ]\n for root in self._iter_login_roots(page):\n locator = await self._find_first_visible_locator([factory(root) for factory in selectors])\n if locator:\n return locator\n return None\n # endregion ScreenshotService._find_submit_locator\n\n # region ScreenshotService._goto_resilient [TYPE Function]\n # @PURPOSE Navigate without relying on networkidle for pages with long-polling or persistent requests.\n # @PRE page is a valid Playwright page and url is non-empty.\n # @POST Returns last navigation response or raises when both primary and fallback waits fail.\n async def _goto_resilient(\n self,\n page,\n url: str,\n primary_wait_until: str = \"domcontentloaded\",\n fallback_wait_until: str = \"load\",\n timeout: int = HTTP_REQUEST_TIMEOUT_MS,\n ):\n try:\n return await page.goto(url, wait_until=primary_wait_until, timeout=timeout)\n except Exception as primary_error:\n logger.warning(\n f\"[ScreenshotService._goto_resilient] Primary navigation wait '{primary_wait_until}' failed for {url}: {primary_error}\"\n )\n return await page.goto(url, wait_until=fallback_wait_until, timeout=timeout)\n # endregion ScreenshotService._goto_resilient\n\n # region ScreenshotService._wait_for_charts_stabilized [TYPE Function] [C:2]\n # @BRIEF Wait until chart elements have non-zero dimensions, with polling.\n # @PRE page is a valid Playwright page.\n # @POST Waits for chart stabilization or raises on timeout (handled internally).\n # @RATIONALE Polls for actual chart rendering dimensions rather than using a fixed delay — charts may load at different speeds depending on dashboard complexity and network conditions.\n # @REJECTED Fixed sleep-based wait rejected — would either waste time (too long) or produce blank screenshots (too short); polling for actual canvas/svg dimensions is more reliable.\n async def _wait_for_charts_stabilized(self, page, timeout_ms: int = 15000):\n \"\"\"Wait until chart elements have non-zero dimensions, with polling.\"\"\"\n # Short initial delay for rendering pipeline to start\n await asyncio.sleep(0.5)\n try:\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container canvas, .slice_container svg, .grid-content canvas');\n if (charts.length === 0) return true;\n return Array.from(charts).some(c => {\n if (c.tagName === 'CANVAS') return c.width > 10 && c.height > 10;\n if (c.tagName === 'svg') {\n const bbox = c.getBoundingClientRect();\n return bbox.width > 10 && bbox.height > 10;\n }\n return false;\n });\n }\"\"\", timeout=timeout_ms)\n except Exception:\n logger.warning(\"[ScreenshotService] Chart stabilization wait timed out, proceeding anyway\")\n # endregion ScreenshotService._wait_for_charts_stabilized\n\n # region ScreenshotService._wait_for_resize_rendered [TYPE Function] [C:2]\n # @BRIEF Wait for charts to re-render after viewport resize.\n # @PRE page is a valid Playwright page; chart_count_before contains pre-resize element counts.\n # @POST Waits for chart content to return or timeout.\n # @RATIONALE After viewport resize, Superset triggers lazy chart re-rendering — this function polls for chart elements to reappear before taking the screenshot.\n # @REJECTED Single fixed wait after resize rejected — some dashboards re-render instantly while others take seconds; fixed wait is brittle across dashboard types.\n async def _wait_for_resize_rendered(self, page, chart_count_before: dict, timeout_ms: int = 10000):\n \"\"\"Wait for charts to re-render after viewport resize, with polling.\"\"\"\n try:\n await page.wait_for_function(\"\"\"(preCounts) => {\n const currentCharts = document.querySelectorAll('.chart-container, .slice_container').length;\n const currentCanvases = document.querySelectorAll('canvas').length;\n const currentSvgs = document.querySelectorAll('.chart-container svg, .slice_container svg').length;\n // At least one chart element must be present\n return currentCharts > 0 && (currentCanvases > 0 || currentSvgs > 0);\n }\"\"\", arg=chart_count_before, timeout=timeout_ms)\n except Exception:\n logger.warning(\"[ScreenshotService] Re-render wait timed out after viewport resize, proceeding anyway\")\n # endregion ScreenshotService._wait_for_resize_rendered\n\n # region ScreenshotService._save_debug_screenshot [TYPE Function] [C:1]\n # @BRIEF Save a debug screenshot to a temp directory for diagnostic purposes.\n # @PRE debug_dir exists and is writable.\n # @POST Returns the debug path or None on failure.\n # @RATIONALE Uses tempfile.mkdtemp() to avoid accumulating .png files in production storage. Temp dir is cleaned up on success (rmtree) or preserved on failure for debugging.\n # @REJECTED Old approach saved debug .png next to output path — accumulated _debug_failed_login.png, _preresize.png permanently in screenshots dir (F1). In-memory-only debug logging rejected — screenshot state is visual and cannot be captured in logs.\n async def _save_debug_screenshot(self, page, debug_dir: str, suffix: str) -> str | None:\n debug_path = os.path.join(debug_dir, suffix)\n try:\n await page.screenshot(path=debug_path)\n return debug_path\n except Exception:\n return None\n # endregion ScreenshotService._save_debug_screenshot\n\n # region ScreenshotService.capture_dashboard [TYPE Function] [C:4]\n # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP.\n # @PRE dashboard_id is a valid string, output_path is a writable path.\n # @POST Returns True if screenshot is saved successfully. Debug temp dir cleaned up on success, preserved on failure.\n # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, writes a PNG file; creates and cleans up temp debug directory.\n # @UX_STATE [Navigating] -> Loading dashboard UI\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n # @RATIONALE Uses tempfile.mkdtemp() for all debug screenshots; cleans up on success (shutil.rmtree), preserves on failure for diagnostic analysis. Pre-resize screenshot is saved to temp dir and auto-cleaned on success.\n # @REJECTED Old approach saved debug .png files alongside output — accumulated permanently (F1). In-memory-only logging rejected — visual state cannot be captured in text.\n async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool:\n debug_dir = tempfile.mkdtemp(prefix=\"ss_screenshot_debug_\")\n success = False\n try:\n # -- begin original body --\n with belief_scope(\"capture_dashboard\", f\"dashboard_id={dashboard_id}\"):\n logger.info(f\"Capturing screenshot for dashboard {dashboard_id}\")\n async with async_playwright() as p:\n browser = await p.chromium.launch(\n headless=True,\n args=[\n \"--disable-blink-features=AutomationControlled\",\n \"--disable-infobars\",\n \"--no-sandbox\"\n ]\n )\n # Set a realistic user agent to avoid 403 Forbidden from OpenResty/WAF\n user_agent = \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36\"\n # Construct base UI URL from environment (strip /api/v1 suffix)\n base_ui_url = self.env.url.rstrip(\"/\")\n if base_ui_url.endswith(\"/api/v1\"):\n base_ui_url = base_ui_url[:-len(\"/api/v1\")]\n\n # Create browser context with realistic headers\n context = await browser.new_context(\n viewport={'width': 1280, 'height': 720},\n user_agent=user_agent,\n extra_http_headers={\n \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7\",\n \"Accept-Language\": \"ru-RU,ru;q=0.9,en-US;q=0.8,en;q=0.7\",\n \"Upgrade-Insecure-Requests\": \"1\",\n \"Sec-Fetch-Dest\": \"document\",\n \"Sec-Fetch-Mode\": \"navigate\",\n \"Sec-Fetch-Site\": \"none\",\n \"Sec-Fetch-User\": \"?1\"\n }\n )\n logger.info(\"Browser context created successfully\")\n\n page = await context.new_page()\n # Bypass navigator.webdriver detection\n await page.add_init_script(\"delete Object.getPrototypeOf(navigator).webdriver\")\n\n # 1. Navigate to login page and authenticate\n login_url = f\"{base_ui_url.rstrip('/')}/login/\"\n logger.info(f\"[DEBUG] Navigating to login page: {login_url}\")\n\n response = await self._goto_resilient(\n page,\n login_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n if response:\n logger.info(f\"[DEBUG] Login page response status: {response.status}\")\n\n # Wait for login form to be ready\n await page.wait_for_load_state(\"domcontentloaded\")\n\n # More exhaustive list of selectors for various Superset versions/themes\n selectors = {\n \"username\": ['input[name=\"username\"]', 'input#username', 'input[placeholder*=\"Username\"]', 'input[type=\"text\"]'],\n \"password\": ['input[name=\"password\"]', 'input#password', 'input[placeholder*=\"Password\"]', 'input[type=\"password\"]'],\n \"submit\": ['button[type=\"submit\"]', 'button#submit', '.btn-primary', 'input[type=\"submit\"]']\n }\n logger.info(\"[DEBUG] Attempting to find login form elements...\")\n\n try:\n used_direct_form_login = False\n # Find and fill username\n username_locator = await self._find_login_field_locator(page, \"username\")\n\n if not username_locator:\n roots = self._iter_login_roots(page)\n logger.info(f\"[DEBUG] Found {len(roots)} login roots including child frames\")\n for root_index, root in enumerate(roots[:5]):\n all_inputs = await root.locator('input').all()\n logger.info(f\"[DEBUG] Root {root_index}: found {len(all_inputs)} input fields\")\n for i, inp in enumerate(all_inputs[:5]): # Log first 5\n inp_type = await inp.get_attribute('type')\n inp_name = await inp.get_attribute('name')\n inp_id = await inp.get_attribute('id')\n logger.info(f\"[DEBUG] Root {root_index} input {i}: type={inp_type}, name={inp_name}, id={inp_id}\")\n used_direct_form_login = await self._submit_login_via_form_post(page, login_url)\n if not used_direct_form_login:\n raise RuntimeError(\"Could not find username input field on login page\")\n username_locator = None\n\n if username_locator is not None:\n logger.info(\"[DEBUG] Filling username field\")\n await username_locator.fill(self.env.username)\n\n # Find and fill password\n password_locator = await self._find_login_field_locator(page, \"password\") if username_locator is not None else None\n\n if username_locator is not None and not password_locator:\n raise RuntimeError(\"Could not find password input field on login page\")\n\n if password_locator is not None:\n logger.info(\"[DEBUG] Filling password field\")\n await password_locator.fill(self.env.password)\n\n # Click submit\n submit_locator = await self._find_submit_locator(page) if username_locator is not None else None\n\n if username_locator is not None and not submit_locator:\n raise RuntimeError(\"Could not find submit button on login page\")\n\n if submit_locator is not None:\n logger.info(\"[DEBUG] Clicking submit button\")\n await submit_locator.click()\n\n # Wait for navigation after login\n if not used_direct_form_login:\n try:\n await page.wait_for_load_state(\"load\", timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n except Exception as load_wait_error:\n logger.warning(f\"[DEBUG] Login post-submit load wait timed out: {load_wait_error}\")\n\n # Check if login was successful\n if not used_direct_form_login and \"/login\" in page.url:\n # Check for error messages on page\n error_msg = await page.locator(\".alert-danger, .error-message\").text_content() if await page.locator(\".alert-danger, .error-message\").count() > 0 else \"Unknown error\"\n logger.error(f\"[DEBUG] Login failed. Still on login page. Error: {error_msg}\")\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_login.png\")\n raise RuntimeError(f\"Login failed: {error_msg}. Debug screenshot saved to {debug_path}\")\n\n logger.info(f\"[DEBUG] Login successful. Current URL: {page.url}\")\n\n # Check cookies after successful login\n page_cookies = await context.cookies()\n logger.info(f\"[DEBUG] Cookies after login: {len(page_cookies)}\")\n for c in page_cookies:\n logger.info(f\"[DEBUG] Cookie: name={c['name']}, domain={c['domain']}, value={c.get('value', '')[:20]}...\")\n\n except Exception as e:\n page_title = await page.title()\n logger.error(f\"UI Login failed. Page title: {page_title}, URL: {page.url}, Error: {e!s}\")\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_login.png\")\n raise RuntimeError(f\"Login failed: {e!s}. Debug screenshot saved to {debug_path}\")\n\n # 2. Navigate to dashboard\n # @UX_STATE [Navigating] -> Loading dashboard UI\n dashboard_url = f\"{base_ui_url.rstrip('/')}/superset/dashboard/{dashboard_id}/?standalone=true\"\n\n if base_ui_url.startswith(\"https://\") and dashboard_url.startswith(\"http://\"):\n dashboard_url = dashboard_url.replace(\"http://\", \"https://\")\n\n logger.info(f\"[DEBUG] Navigating to dashboard: {dashboard_url}\")\n\n # Dashboard pages can keep polling/network activity open indefinitely.\n response = await self._goto_resilient(\n page,\n dashboard_url,\n primary_wait_until=\"domcontentloaded\",\n fallback_wait_until=\"load\",\n timeout=HTTP_REQUEST_TIMEOUT_MS,\n )\n\n if response:\n logger.info(f\"[DEBUG] Dashboard navigation response status: {response.status}, URL: {response.url}\")\n\n if \"/login\" in page.url:\n debug_path = await self._save_debug_screenshot(page, debug_dir, \"failed_dashboard_auth.png\")\n raise RuntimeError(\n f\"Dashboard navigation redirected to login page after authentication. Debug screenshot saved to {debug_path}\"\n )\n\n try:\n # Wait for the dashboard grid to be present\n await page.wait_for_selector('.dashboard-component, .dashboard-header, [data-test=\"dashboard-grid\"]', timeout=PLAYWRIGHT_NAVIGATION_TIMEOUT_MS)\n logger.info(\"[DEBUG] Dashboard container loaded\")\n\n # Wait for charts to finish loading (Superset uses loading spinners/skeletons)\n # We wait until loading indicators disappear or a timeout occurs\n try:\n # Wait for loading indicators to disappear\n await page.wait_for_selector('.loading, .ant-skeleton, .spinner', state=\"hidden\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Loading indicators hidden\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for loading indicators to hide\")\n\n # Wait for charts to actually render their content (e.g., ECharts, NVD3)\n # We look for common chart containers that should have content\n try:\n await page.wait_for_selector('.chart-container canvas, .slice_container svg, .superset-chart-canvas, .grid-content .chart-container', timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] Chart content detected\")\n except Exception:\n logger.warning(\"[DEBUG] Timeout waiting for chart content\")\n\n # Additional check: wait for all chart containers to have non-empty content\n logger.info(\"[DEBUG] Waiting for all charts to have rendered content...\")\n await page.wait_for_function(\"\"\"() => {\n const charts = document.querySelectorAll('.chart-container, .slice_container');\n if (charts.length === 0) return true; // No charts to wait for\n \n // Check if all charts have rendered content (canvas, svg, or non-empty div)\n return Array.from(charts).every(chart => {\n const hasCanvas = chart.querySelector('canvas') !== null;\n const hasSvg = chart.querySelector('svg') !== null;\n const hasContent = chart.innerText.trim().length > 0 || chart.children.length > 0;\n return hasCanvas || hasSvg || hasContent;\n });\n }\"\"\", timeout=HTTP_REQUEST_TIMEOUT_MS)\n logger.info(\"[DEBUG] All charts have rendered content\")\n\n # Scroll to bottom and back to top to trigger lazy loading of all charts\n logger.info(\"[DEBUG] Scrolling to trigger lazy loading...\")\n await page.evaluate(\"\"\"async () => {\n const delay = ms => new Promise(resolve => setTimeout(resolve, ms));\n for (let i = 0; i < document.body.scrollHeight; i += 500) {\n window.scrollTo(0, i);\n await delay(100);\n }\n window.scrollTo(0, 0);\n await delay(500);\n }\"\"\")\n\n except Exception as e:\n logger.warning(f\"[DEBUG] Dashboard content wait failed: {e}, proceeding anyway after delay\")\n\n # Final stabilization delay - wait for charts to stabilize\n logger.info(\"[DEBUG] Waiting for charts to stabilize...\")\n await self._wait_for_charts_stabilized(page)\n\n # Logic to handle tabs and full-page capture\n try:\n async with asyncio.timeout(SCREENSHOT_SERVICE_TIMEOUT_MS / 1000):\n # 1. Handle Tabs (Recursive switching)\n # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading\n processed_tabs = set()\n\n async def switch_tabs(depth=0):\n if depth > 3:\n return # Limit recursion depth\n\n tab_selectors = [\n '.ant-tabs-nav-list .ant-tabs-tab',\n '.dashboard-component-tabs .ant-tabs-tab',\n '[data-test=\"dashboard-component-tabs\"] .ant-tabs-tab'\n ]\n\n found_tabs = []\n for selector in tab_selectors:\n found_tabs = await page.locator(selector).all()\n if found_tabs:\n break\n\n if found_tabs:\n logger.info(f\"[DEBUG][TabSwitching] Found {len(found_tabs)} tabs at depth {depth}\")\n for i, tab in enumerate(found_tabs):\n try:\n tab_text = (await tab.inner_text()).strip()\n tab_id = f\"{depth}_{i}_{tab_text}\"\n\n if tab_id in processed_tabs:\n continue\n\n if await tab.is_visible():\n logger.info(f\"[DEBUG][TabSwitching] Switching to tab: {tab_text}\")\n processed_tabs.add(tab_id)\n\n is_active = \"ant-tabs-tab-active\" in (await tab.get_attribute(\"class\") or \"\")\n if not is_active:\n await tab.click()\n # Wait for chart content to render in the newly active tab\n try:\n await page.wait_for_function(\"\"\"() => {\n const activeTab = document.querySelector('.ant-tabs-tab-active');\n if (!activeTab) return true;\n const tabPane = activeTab.closest('.ant-tabs')?.querySelector('.ant-tabs-content-holder');\n if (!tabPane) return true;\n const charts = tabPane.querySelectorAll('canvas, svg');\n return charts.length > 0;\n }\"\"\", timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception:\n logger.warning(f\"[TabSwitching] Content verification timed out for tab: {tab_text}\")\n\n await switch_tabs(depth + 1)\n except Exception as tab_e:\n logger.warning(f\"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}\")\n\n try:\n first_tab = found_tabs[0]\n if \"ant-tabs-tab-active\" not in (await first_tab.get_attribute(\"class\") or \"\"):\n await first_tab.click()\n try:\n await page.wait_for_function(\"\"\"() => {\n const activeTab = document.querySelector('.ant-tabs-tab-active');\n if (!activeTab) return true;\n const tabPane = activeTab.closest('.ant-tabs')?.querySelector('.ant-tabs-content-holder');\n if (!tabPane) return true;\n const charts = tabPane.querySelectorAll('canvas, svg');\n return charts.length > 0;\n }\"\"\", timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n except Exception:\n logger.warning(\"[TabSwitching] Content verification timed out for first tab\")\n except Exception:\n pass\n\n await switch_tabs()\n\n # 2. Calculate full height for screenshot\n # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions\n full_height = await page.evaluate(\"\"\"() => {\n const body = document.body;\n const html = document.documentElement;\n const dashboardContent = document.querySelector('.dashboard-content');\n \n return Math.max(\n body.scrollHeight, body.offsetHeight,\n html.clientHeight, html.scrollHeight, html.offsetHeight,\n dashboardContent ? dashboardContent.scrollHeight + 100 : 0\n );\n }\"\"\")\n logger.info(f\"[DEBUG] Calculated full height: {full_height}\")\n\n # DIAGNOSTIC: Count chart elements before resize\n chart_count_before = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements BEFORE viewport resize: {chart_count_before}\")\n\n # DIAGNOSTIC: Capture pre-resize screenshot for comparison\n pre_resize_path = await self._save_debug_screenshot(page, debug_dir, \"preresize.png\")\n if pre_resize_path:\n pre_resize_size = os.path.getsize(pre_resize_path) if os.path.exists(pre_resize_path) else 0\n logger.info(f\"[DIAGNOSTIC] Pre-resize screenshot saved: {pre_resize_path} ({pre_resize_size} bytes)\")\n else:\n logger.warning(\"[DIAGNOSTIC] Failed to capture pre-resize screenshot\")\n\n logger.info(f\"[DIAGNOSTIC] Resizing viewport from current to 1920x{int(full_height)}\")\n await page.set_viewport_size({\"width\": 1920, \"height\": int(full_height)})\n\n # Wait for charts to re-render after viewport resize\n logger.info(\"[DIAGNOSTIC] Waiting for re-render after viewport resize...\")\n await self._wait_for_resize_rendered(page, chart_count_before)\n logger.info(\"[DIAGNOSTIC] Re-render wait completed\")\n\n # DIAGNOSTIC: Count chart elements after resize and wait\n chart_count_after = await page.evaluate(\"\"\"() => {\n return {\n chartContainers: document.querySelectorAll('.chart-container, .slice_container').length,\n canvasElements: document.querySelectorAll('canvas').length,\n svgElements: document.querySelectorAll('.chart-container svg, .slice_container svg').length,\n visibleCharts: document.querySelectorAll('.chart-container:visible, .slice_container:visible').length\n };\n }\"\"\")\n logger.info(f\"[DIAGNOSTIC] Chart elements AFTER viewport resize + wait: {chart_count_after}\")\n\n # DIAGNOSTIC: Check if any charts have error states\n chart_errors = await page.evaluate(\"\"\"() => {\n const errors = [];\n document.querySelectorAll('.chart-container, .slice_container').forEach((chart, i) => {\n const errorEl = chart.querySelector('.error, .alert-danger, .ant-alert-error');\n if (errorEl) {\n errors.push({index: i, text: errorEl.innerText.substring(0, 100)});\n }\n });\n return errors;\n }\"\"\")\n if chart_errors:\n logger.warning(f\"[DIAGNOSTIC] Charts with error states detected: {chart_errors}\")\n else:\n logger.info(\"[DIAGNOSTIC] No chart error states detected\")\n\n # 3. Take screenshot using CDP to bypass Playwright's font loading wait\n # @UX_STATE [Capturing] -> Executing CDP screenshot\n logger.info(\"[DEBUG] Attempting full-page screenshot via CDP...\")\n cdp_success = False\n try:\n cdp = await page.context.new_cdp_session(page)\n screenshot_data = await cdp.send(\"Page.captureScreenshot\", {\n \"format\": \"png\",\n \"fromSurface\": True,\n \"captureBeyondViewport\": True\n })\n image_data = base64.b64decode(screenshot_data[\"data\"])\n with open(output_path, 'wb') as f:\n f.write(image_data)\n logger.info(\"Full-page screenshot saved via CDP\")\n cdp_success = True\n except Exception as cdp_err:\n logger.warning(f\"CDP screenshot failed: {cdp_err}. Falling back to Playwright full_page.\")\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n logger.info(\"Full-page screenshot saved via Playwright fallback\")\n cdp_success = True\n\n if cdp_success:\n # DIAGNOSTIC: Verify screenshot file\n final_size = os.path.getsize(output_path) if os.path.exists(output_path) else 0\n logger.info(f\"[DIAGNOSTIC] Final screenshot saved: {output_path}\")\n logger.info(f\"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)\")\n\n # DIAGNOSTIC: Get image dimensions\n try:\n with Image.open(output_path) as final_img:\n logger.info(f\"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}\")\n except Exception as img_err:\n logger.warning(f\"[DIAGNOSTIC] Could not read final image dimensions: {img_err}\")\n except asyncio.TimeoutError:\n logger.error(f\"Screenshot capture timed out after {SCREENSHOT_SERVICE_TIMEOUT_MS}ms\")\n try:\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n logger.info(\"Emergency timeout screenshot saved\")\n except Exception:\n pass\n except Exception as e:\n logger.error(f\"[DEBUG] Full-page/Tab capture failed: {e}\")\n try:\n await page.screenshot(path=output_path, full_page=True, timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS)\n except Exception as e2:\n logger.error(f\"[DEBUG] Fallback screenshot also failed: {e2}\")\n await page.screenshot(path=output_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS)\n\n await browser.close()\n success = True\n return True\n finally:\n if success:\n shutil.rmtree(debug_dir, ignore_errors=True)\n else:\n logger.info(f\"Debug screenshots preserved in {debug_dir}\")\n # endregion ScreenshotService.capture_dashboard\n# #endregion ScreenshotService\n" }, { "contract_id": "LLMClient", "contract_type": "Class", "file_path": "backend/src/plugins/llm_analysis/service.py", - "start_line": 688, - "end_line": 988, + "start_line": 792, + "end_line": 1093, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -35739,26 +37021,26 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region LLMClient [TYPE Class]\n# @BRIEF Wrapper for LLM provider APIs.\nclass LLMClient:\n # region LLMClient.__init__ [TYPE Function]\n # @PURPOSE Initializes the LLMClient with provider settings.\n # @PRE api_key, base_url, and default_model are non-empty strings.\n def __init__(self, provider_type: LLMProviderType, api_key: str, base_url: str, default_model: str):\n self.provider_type = provider_type\n normalized_key = (api_key or \"\").strip()\n if normalized_key.lower().startswith(\"bearer \"):\n normalized_key = normalized_key[7:].strip()\n self.api_key = normalized_key\n self.base_url = base_url\n self.default_model = default_model\n\n # DEBUG: Log initialization parameters (without exposing full API key)\n logger.info(\"[LLMClient.__init__] Initializing LLM client:\")\n logger.info(f\"[LLMClient.__init__] Provider Type: {provider_type}\")\n logger.info(f\"[LLMClient.__init__] Base URL: {base_url}\")\n logger.info(f\"[LLMClient.__init__] Default Model: {default_model}\")\n logger.info(f\"[LLMClient.__init__] API Key (first 8 chars): {self.api_key[:8] if self.api_key and len(self.api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n logger.info(f\"[LLMClient.__init__] API Key Length: {len(self.api_key) if self.api_key else 0}\")\n\n # Some OpenAI-compatible gateways are strict about auth header naming.\n default_headers = {\"Authorization\": f\"Bearer {self.api_key}\"}\n if self.provider_type == LLMProviderType.OPENROUTER:\n default_headers[\"HTTP-Referer\"] = (\n os.getenv(\"OPENROUTER_SITE_URL\", \"\").strip()\n or os.getenv(\"APP_BASE_URL\", \"\").strip()\n or \"http://localhost:8000\"\n )\n default_headers[\"X-Title\"] = os.getenv(\"OPENROUTER_APP_NAME\", \"\").strip() or \"ss-tools\"\n if self.provider_type == LLMProviderType.KILO:\n default_headers[\"Authentication\"] = f\"Bearer {self.api_key}\"\n default_headers[\"X-API-Key\"] = self.api_key\n # LiteLLM proxy uses standard OpenAI-compatible Bearer auth — no special headers needed.\n # It routes to upstream providers transparently, and the default Authorization header\n # is sufficient. No additional headers like HTTP-Referer or X-API-Key are required.\n\n http_client = httpx.AsyncClient(headers=default_headers, timeout=LLM_HTTP_TIMEOUT_S)\n self.client = AsyncOpenAI(\n api_key=self.api_key,\n base_url=base_url,\n default_headers=default_headers,\n http_client=http_client,\n )\n # endregion LLMClient.__init__\n\n # region LLMClient._supports_json_response_format [TYPE Function]\n # @PURPOSE Detect whether provider/model is likely compatible with response_format=json_object.\n # @PRE Client initialized with base_url and default_model.\n # @POST Returns False for known-incompatible combinations to avoid avoidable 400 errors.\n def _supports_json_response_format(self) -> bool:\n base = (self.base_url or \"\").lower()\n model = (self.default_model or \"\").lower()\n\n # OpenRouter routes to many upstream providers; some models reject json_object mode.\n if \"openrouter.ai\" in base:\n incompatible_tokens = (\n \"stepfun/\",\n \"step-\",\n \":free\",\n )\n if any(token in model for token in incompatible_tokens):\n return False\n return True\n # endregion LLMClient._supports_json_response_format\n\n # region LLMClient.get_json_completion [TYPE Function]\n # @PURPOSE Helper to handle LLM calls with JSON mode and fallback parsing.\n # @PRE messages is a list of valid message dictionaries.\n # @POST Returns a parsed JSON dictionary.\n # @SIDE_EFFECT Calls external LLM API.\n def _should_retry(exception: Exception) -> bool:\n \"\"\"Custom retry predicate that excludes authentication errors.\"\"\"\n # Don't retry on authentication errors\n if isinstance(exception, OpenAIAuthenticationError):\n return False\n # Retry on rate limit errors and other exceptions\n return isinstance(exception, (RateLimitError, Exception))\n\n @retry(\n stop=stop_after_attempt(5),\n wait=wait_exponential(multiplier=2, min=5, max=60),\n retry=retry_if_exception(_should_retry),\n reraise=True\n )\n async def get_json_completion(self, messages: list[dict[str, Any]]) -> dict[str, Any]:\n with belief_scope(\"get_json_completion\"):\n response = None\n try:\n use_json_mode = self._supports_json_response_format()\n try:\n logger.info(\n f\"[get_json_completion] Attempting LLM call for model: {self.default_model} \"\n f\"(json_mode={'on' if use_json_mode else 'off'})\"\n )\n logger.info(f\"[get_json_completion] Base URL being used: {self.base_url}\")\n logger.info(f\"[get_json_completion] Number of messages: {len(messages)}\")\n logger.info(f\"[get_json_completion] API Key present: {bool(self.api_key and len(self.api_key) > 0)}\")\n\n if use_json_mode:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages,\n response_format={\"type\": \"json_object\"}\n )\n else:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n except Exception as e:\n if use_json_mode and (\n \"JSON mode is not enabled\" in str(e)\n or \"json_object is not supported\" in str(e).lower()\n or \"response_format\" in str(e).lower()\n or \"400\" in str(e)\n ):\n logger.warning(f\"[get_json_completion] JSON mode failed or not supported: {e!s}. Falling back to plain text response.\")\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n else:\n raise e\n\n logger.debug(f\"[get_json_completion] LLM Response: {response}\")\n except OpenAIAuthenticationError as e:\n logger.error(f\"[get_json_completion] Authentication error: {e!s}\")\n # Do not retry on auth errors - re-raise to stop retry\n raise\n except RateLimitError as e:\n logger.warning(f\"[get_json_completion] Rate limit hit: {e!s}\")\n\n # Extract retry_delay from error metadata if available\n retry_delay = 5.0 # Default fallback\n try:\n # Based on logs, the raw response is in e.body or e.response.json()\n # The logs show 'metadata': {'raw': '...'} which suggests a proxy or specific client wrapper\n # Let's try to find the 'retryDelay' in the error message or response\n import re\n\n # Try to find \"retryDelay\": \"XXs\" in the string representation of the error\n error_str = str(e)\n match = re.search(r'\"retryDelay\":\\s*\"(\\d+)s\"', error_str)\n if match:\n retry_delay = float(match.group(1))\n else:\n # Try to parse from response if it's a standard OpenAI-like error with body\n if hasattr(e, 'body') and isinstance(e.body, dict):\n # Some providers put it in details\n details = e.body.get('error', {}).get('details', [])\n for detail in details:\n if detail.get('@type') == 'type.googleapis.com/google.rpc.RetryInfo':\n delay_str = detail.get('retryDelay', '5s')\n retry_delay = float(delay_str.rstrip('s'))\n break\n except Exception as parse_e:\n logger.debug(f\"[get_json_completion] Failed to parse retry delay: {parse_e}\")\n\n # Add a small safety margin (0.5s) as requested\n wait_time = retry_delay + 0.5\n logger.info(f\"[get_json_completion] Waiting for {wait_time}s before retry...\")\n await asyncio.sleep(wait_time)\n raise\n except Exception as e:\n logger.error(f\"[get_json_completion] LLM call failed: {e!s}\")\n raise\n\n if not response or not hasattr(response, 'choices') or not response.choices:\n raise RuntimeError(f\"Invalid LLM response: {response}\")\n\n content = response.choices[0].message.content\n logger.debug(f\"[get_json_completion] Raw content to parse: {content}\")\n\n try:\n return json.loads(content)\n except json.JSONDecodeError:\n logger.warning(\"[get_json_completion] Failed to parse JSON directly, attempting to extract from code blocks\")\n if \"```json\" in content:\n json_str = content.split(\"```json\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n elif \"```\" in content:\n json_str = content.split(\"```\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n else:\n raise\n # endregion LLMClient.get_json_completion\n\n # region LLMClient.test_runtime_connection [TYPE Function]\n # @PURPOSE Validate provider credentials using the same chat completions transport as runtime analysis.\n # @PRE Client is initialized with provider credentials and default_model.\n # @POST Returns lightweight JSON payload when runtime auth/model path is valid.\n # @SIDE_EFFECT Calls external LLM API.\n async def test_runtime_connection(self) -> dict[str, Any]:\n with belief_scope(\"test_runtime_connection\"):\n messages = [\n {\n \"role\": \"user\",\n \"content\": 'Return exactly this JSON object and nothing else: {\"ok\": true}',\n }\n ]\n return await self.get_json_completion(messages)\n # endregion LLMClient.test_runtime_connection\n\n # region LLMClient.fetch_models [TYPE Function]\n # @PURPOSE Fetch available models from the provider's API.\n # @PRE Client is initialized with provider credentials.\n # @POST Returns a list of model ID strings.\n # @SIDE_EFFECT Calls external LLM API /v1/models endpoint.\n async def fetch_models(self) -> list[str]:\n with belief_scope(\"LLMClient.fetch_models\"):\n try:\n response = await self.client.models.list()\n model_ids = [m.id for m in response.data]\n model_ids.sort()\n logger.reason(\n f\"[LLMClient.fetch_models] Fetched {len(model_ids)} models from {self.base_url}\",\n extra={\"src\": \"LLMClient.fetch_models\"},\n )\n return model_ids\n except Exception as e:\n logger.warning(\n f\"[LLMClient.fetch_models] Failed to fetch models: {e}\",\n )\n raise\n # endregion LLMClient.fetch_models\n\n # region LLMClient.analyze_dashboard [TYPE Function]\n # @PURPOSE Sends dashboard data (screenshot + logs) to LLM for health analysis.\n # @PRE screenshot_path exists, logs is a list of strings.\n # @POST Returns a structured analysis dictionary (status, summary, issues).\n # @SIDE_EFFECT Reads screenshot file and calls external LLM API.\n async def analyze_dashboard(\n self,\n screenshot_path: str,\n logs: list[str],\n prompt_template: str = DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n ) -> dict[str, Any]:\n with belief_scope(\"analyze_dashboard\"):\n # Optimize image to reduce token count (US1 / T023)\n # Gemini/Gemma models have limits on input tokens, and large images contribute significantly.\n try:\n with Image.open(screenshot_path) as img:\n # Convert to RGB if necessary\n if img.mode in (\"RGBA\", \"P\"):\n img = img.convert(\"RGB\")\n\n # Resize if too large (max 1024px width while maintaining aspect ratio)\n # We reduce width further to 1024px to stay within token limits for long dashboards\n max_width = 1024\n if img.width > max_width or img.height > 2048:\n # Calculate scaling factor to fit within 1024x2048\n scale = min(max_width / img.width, 2048 / img.height)\n if scale < 1.0:\n new_width = int(img.width * scale)\n new_height = int(img.height * scale)\n img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)\n logger.info(f\"[analyze_dashboard] Resized image from {img.width}x{img.height} to {new_width}x{new_height}\")\n\n # Compress and convert to base64\n buffer = io.BytesIO()\n # Lower quality to 60% to further reduce payload size\n img.save(buffer, format=\"JPEG\", quality=60, optimize=True)\n base_64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')\n logger.info(f\"[analyze_dashboard] Optimized image size: {len(buffer.getvalue()) / 1024:.2f} KB\")\n except Exception as img_e:\n logger.warning(f\"[analyze_dashboard] Image optimization failed: {img_e}. Using raw image.\")\n with open(screenshot_path, \"rb\") as image_file:\n base_64_image = base64.b64encode(image_file.read()).decode('utf-8')\n\n log_text = \"\\n\".join(logs)\n prompt = render_prompt(prompt_template, {\"logs\": log_text})\n\n messages = [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"text\", \"text\": prompt},\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": f\"data:image/jpeg;base64,{base_64_image}\"\n }\n }\n ]\n }\n ]\n\n try:\n return await self.get_json_completion(messages)\n except Exception as e:\n logger.error(f\"[analyze_dashboard] Failed to get analysis: {e!s}\")\n return {\n \"status\": \"UNKNOWN\",\n \"summary\": f\"Failed to get response from LLM: {e!s}\",\n \"issues\": [{\"severity\": \"UNKNOWN\", \"message\": \"LLM provider returned empty or invalid response\"}]\n }\n # endregion LLMClient.analyze_dashboard\n# #endregion LLMClient\n" + "body": "# #region LLMClient [TYPE Class]\n# @BRIEF Wrapper for LLM provider APIs.\nclass LLMClient:\n # region LLMClient.__init__ [TYPE Function]\n # @PURPOSE Initializes the LLMClient with provider settings.\n # @PRE api_key, base_url, and default_model are non-empty strings.\n def __init__(self, provider_type: LLMProviderType, api_key: str, base_url: str, default_model: str):\n self.provider_type = provider_type\n normalized_key = (api_key or \"\").strip()\n if normalized_key.lower().startswith(\"bearer \"):\n normalized_key = normalized_key[7:].strip()\n self.api_key = normalized_key\n self.base_url = base_url\n self.default_model = default_model\n\n # DEBUG: Log initialization parameters (without exposing full API key)\n logger.info(\"[LLMClient.__init__] Initializing LLM client:\")\n logger.info(f\"[LLMClient.__init__] Provider Type: {provider_type}\")\n logger.info(f\"[LLMClient.__init__] Base URL: {base_url}\")\n logger.info(f\"[LLMClient.__init__] Default Model: {default_model}\")\n logger.info(f\"[LLMClient.__init__] API Key (first 8 chars): {self.api_key[:8] if self.api_key and len(self.api_key) > 8 else 'EMPTY_OR_NONE'}...\")\n logger.info(f\"[LLMClient.__init__] API Key Length: {len(self.api_key) if self.api_key else 0}\")\n\n # Some OpenAI-compatible gateways are strict about auth header naming.\n default_headers = {\"Authorization\": f\"Bearer {self.api_key}\"}\n if self.provider_type == LLMProviderType.OPENROUTER:\n default_headers[\"HTTP-Referer\"] = (\n os.getenv(\"OPENROUTER_SITE_URL\", \"\").strip()\n or os.getenv(\"APP_BASE_URL\", \"\").strip()\n or \"http://localhost:8000\"\n )\n default_headers[\"X-Title\"] = os.getenv(\"OPENROUTER_APP_NAME\", \"\").strip() or \"ss-tools\"\n if self.provider_type == LLMProviderType.KILO:\n default_headers[\"Authentication\"] = f\"Bearer {self.api_key}\"\n default_headers[\"X-API-Key\"] = self.api_key\n # LiteLLM proxy uses standard OpenAI-compatible Bearer auth — no special headers needed.\n # It routes to upstream providers transparently, and the default Authorization header\n # is sufficient. No additional headers like HTTP-Referer or X-API-Key are required.\n\n http_client = httpx.AsyncClient(headers=default_headers, timeout=LLM_HTTP_TIMEOUT_S)\n self.client = AsyncOpenAI(\n api_key=self.api_key,\n base_url=base_url,\n default_headers=default_headers,\n http_client=http_client,\n )\n # endregion LLMClient.__init__\n\n # region LLMClient._supports_json_response_format [TYPE Function]\n # @PURPOSE Detect whether provider/model is likely compatible with response_format=json_object.\n # @PRE Client initialized with base_url and default_model.\n # @POST Returns False for known-incompatible combinations to avoid avoidable 400 errors.\n def _supports_json_response_format(self) -> bool:\n base = (self.base_url or \"\").lower()\n model = (self.default_model or \"\").lower()\n\n # OpenRouter routes to many upstream providers; some models reject json_object mode.\n if \"openrouter.ai\" in base:\n incompatible_tokens = (\n \"stepfun/\",\n \"step-\",\n \":free\",\n )\n if any(token in model for token in incompatible_tokens):\n return False\n return True\n # endregion LLMClient._supports_json_response_format\n\n # region LLMClient.get_json_completion [TYPE Function]\n # @PURPOSE Helper to handle LLM calls with JSON mode and fallback parsing.\n # @PRE messages is a list of valid message dictionaries.\n # @POST Returns a parsed JSON dictionary.\n # @SIDE_EFFECT Calls external LLM API.\n def _should_retry(exception: Exception) -> bool:\n \"\"\"Custom retry predicate that excludes authentication errors.\"\"\"\n # Don't retry on authentication errors\n if isinstance(exception, OpenAIAuthenticationError):\n return False\n # Retry on rate limit errors and other exceptions\n return isinstance(exception, (RateLimitError, Exception))\n\n @retry(\n stop=stop_after_attempt(5),\n wait=wait_exponential(multiplier=2, min=5, max=60),\n retry=retry_if_exception(_should_retry),\n reraise=True\n )\n async def get_json_completion(self, messages: list[dict[str, Any]]) -> dict[str, Any]:\n with belief_scope(\"get_json_completion\"):\n response = None\n try:\n use_json_mode = self._supports_json_response_format()\n try:\n logger.info(\n f\"[get_json_completion] Attempting LLM call for model: {self.default_model} \"\n f\"(json_mode={'on' if use_json_mode else 'off'})\"\n )\n logger.info(f\"[get_json_completion] Base URL being used: {self.base_url}\")\n logger.info(f\"[get_json_completion] Number of messages: {len(messages)}\")\n logger.info(f\"[get_json_completion] API Key present: {bool(self.api_key and len(self.api_key) > 0)}\")\n\n if use_json_mode:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages,\n response_format={\"type\": \"json_object\"}\n )\n else:\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n except Exception as e:\n if use_json_mode and (\n \"JSON mode is not enabled\" in str(e)\n or \"json_object is not supported\" in str(e).lower()\n or \"response_format\" in str(e).lower()\n or \"400\" in str(e)\n ):\n logger.warning(f\"[get_json_completion] JSON mode failed or not supported: {e!s}. Falling back to plain text response.\")\n response = await self.client.chat.completions.create(\n model=self.default_model,\n messages=messages\n )\n else:\n raise e\n\n logger.debug(f\"[get_json_completion] LLM Response: {response}\")\n except OpenAIAuthenticationError as e:\n logger.error(f\"[get_json_completion] Authentication error: {e!s}\")\n # Do not retry on auth errors - re-raise to stop retry\n raise\n except RateLimitError as e:\n logger.warning(f\"[get_json_completion] Rate limit hit: {e!s}\")\n\n # Extract retry_delay from error metadata if available\n retry_delay = 5.0 # Default fallback\n try:\n # Based on logs, the raw response is in e.body or e.response.json()\n # The logs show 'metadata': {'raw': '...'} which suggests a proxy or specific client wrapper\n # Let's try to find the 'retryDelay' in the error message or response\n import re\n\n # Try to find \"retryDelay\": \"XXs\" in the string representation of the error\n error_str = str(e)\n match = re.search(r'\"retryDelay\":\\s*\"(\\d+)s\"', error_str)\n if match:\n retry_delay = float(match.group(1))\n else:\n # Try to parse from response if it's a standard OpenAI-like error with body\n if hasattr(e, 'body') and isinstance(e.body, dict):\n # Some providers put it in details\n details = e.body.get('error', {}).get('details', [])\n for detail in details:\n if detail.get('@type') == 'type.googleapis.com/google.rpc.RetryInfo':\n delay_str = detail.get('retryDelay', '5s')\n retry_delay = float(delay_str.rstrip('s'))\n break\n except Exception as parse_e:\n logger.debug(f\"[get_json_completion] Failed to parse retry delay: {parse_e}\")\n\n # Add a small safety margin (0.5s) as requested\n wait_time = retry_delay + 0.5\n logger.info(f\"[get_json_completion] Waiting for {wait_time}s before retry...\")\n await asyncio.sleep(wait_time)\n raise\n except Exception as e:\n logger.error(f\"[get_json_completion] LLM call failed: {e!s}\")\n raise\n\n if not response or not hasattr(response, 'choices') or not response.choices:\n raise RuntimeError(f\"Invalid LLM response: {response}\")\n\n content = response.choices[0].message.content\n logger.debug(f\"[get_json_completion] Raw content to parse: {content}\")\n\n try:\n return json.loads(content)\n except json.JSONDecodeError:\n logger.warning(\"[get_json_completion] Failed to parse JSON directly, attempting to extract from code blocks\")\n if \"```json\" in content:\n json_str = content.split(\"```json\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n elif \"```\" in content:\n json_str = content.split(\"```\")[1].split(\"```\")[0].strip()\n return json.loads(json_str)\n else:\n raise\n # endregion LLMClient.get_json_completion\n\n # region LLMClient.test_runtime_connection [TYPE Function]\n # @PURPOSE Validate provider credentials using the same chat completions transport as runtime analysis.\n # @PRE Client is initialized with provider credentials and default_model.\n # @POST Returns lightweight JSON payload when runtime auth/model path is valid.\n # @SIDE_EFFECT Calls external LLM API.\n async def test_runtime_connection(self) -> dict[str, Any]:\n with belief_scope(\"test_runtime_connection\"):\n messages = [\n {\n \"role\": \"user\",\n \"content\": 'Return exactly this JSON object and nothing else: {\"ok\": true}',\n }\n ]\n return await self.get_json_completion(messages)\n # endregion LLMClient.test_runtime_connection\n\n # region LLMClient.fetch_models [TYPE Function]\n # @PURPOSE Fetch available models from the provider's API.\n # @PRE Client is initialized with provider credentials.\n # @POST Returns a list of model ID strings.\n # @SIDE_EFFECT Calls external LLM API /v1/models endpoint.\n async def fetch_models(self) -> list[str]:\n with belief_scope(\"LLMClient.fetch_models\"):\n try:\n response = await self.client.models.list()\n model_ids = [m.id for m in response.data]\n model_ids.sort()\n logger.reason(\n f\"[LLMClient.fetch_models] Fetched {len(model_ids)} models from {self.base_url}\",\n extra={\"src\": \"LLMClient.fetch_models\"},\n )\n return model_ids\n except Exception as e:\n logger.warning(\n f\"[LLMClient.fetch_models] Failed to fetch models: {e}\",\n )\n raise\n # endregion LLMClient.fetch_models\n\n # region LLMClient.analyze_dashboard [TYPE Function]\n # @PURPOSE Sends dashboard data (screenshot + logs) to LLM for health analysis.\n # @PRE screenshot_path exists, logs is a list of strings.\n # @POST Returns a structured analysis dictionary (status, summary, issues).\n # @SIDE_EFFECT Reads screenshot file and calls external LLM API.\n async def analyze_dashboard(\n self,\n screenshot_path: str,\n logs: list[str],\n prompt_template: str = DEFAULT_LLM_PROMPTS[\"dashboard_validation_prompt\"],\n ) -> dict[str, Any]:\n with belief_scope(\"analyze_dashboard\"):\n # Optimize image to reduce token count (US1 / T023)\n # Gemini/Gemma models have limits on input tokens, and large images contribute significantly.\n try:\n with Image.open(screenshot_path) as img:\n # Convert to RGB if necessary\n if img.mode in (\"RGBA\", \"P\"):\n img = img.convert(\"RGB\")\n\n # Resize if too large (max 1024px width while maintaining aspect ratio)\n # We reduce width further to 1024px to stay within token limits for long dashboards\n max_width = 1024\n if img.width > max_width or img.height > 2048:\n # Calculate scaling factor to fit within 1024x2048\n scale = min(max_width / img.width, 2048 / img.height)\n if scale < 1.0:\n new_width = int(img.width * scale)\n new_height = int(img.height * scale)\n img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)\n logger.info(f\"[analyze_dashboard] Resized image from {img.width}x{img.height} to {new_width}x{new_height}\")\n\n # Compress and convert to base64\n buffer = io.BytesIO()\n # Lower quality to 60% to further reduce payload size\n img.save(buffer, format=\"JPEG\", quality=60, optimize=True)\n base_64_image = base64.b64encode(buffer.getvalue()).decode('utf-8')\n logger.info(f\"[analyze_dashboard] Optimized image size: {len(buffer.getvalue()) / 1024:.2f} KB\")\n except Exception as img_e:\n logger.warning(f\"[analyze_dashboard] Image optimization failed: {img_e}. Using raw image.\")\n with open(screenshot_path, \"rb\") as image_file:\n base_64_image = base64.b64encode(image_file.read()).decode('utf-8')\n\n log_text = \"\\n\".join(logs)\n prompt = render_prompt(prompt_template, {\"logs\": log_text})\n\n messages = [\n {\n \"role\": \"user\",\n \"content\": [\n {\"type\": \"text\", \"text\": prompt},\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": f\"data:image/jpeg;base64,{base_64_image}\"\n }\n }\n ]\n }\n ]\n\n try:\n return await self.get_json_completion(messages)\n except Exception as e:\n logger.error(f\"[analyze_dashboard] Failed to get analysis: {e!s}\")\n return {\n \"status\": \"UNKNOWN\",\n \"summary\": f\"Failed to get response from LLM: {e!s}\",\n \"issues\": [{\"severity\": \"UNKNOWN\", \"message\": \"LLM provider returned empty or invalid response\"}]\n }\n # endregion LLMClient.analyze_dashboard\n\n# #endregion LLMClient\n" }, { "contract_id": "MapperPluginModule", "contract_type": "Module", "file_path": "backend/src/plugins/mapper.py", "start_line": 1, - "end_line": 213, + "end_line": 196, "tier": "TIER_1", "complexity": 1, "metadata": { "LAYER": "Plugins", - "PURPOSE": "Implements a plugin for mapping dataset columns using external database connections or Excel files." + "PURPOSE": "Implements a plugin for mapping dataset columns using Superset SQL Lab or Excel files." }, "relations": [ { "source_id": "MapperPluginModule", "relation_type": "DEPENDS_ON", - "target_id": "Inherits from PluginBase. Uses DatasetMapper from superset_tool.", - "target_ref": "Inherits from PluginBase. Uses DatasetMapper from superset_tool." + "target_id": "Inherits from PluginBase. Uses DatasetMapper and SupersetSqlLabExecutor.", + "target_ref": "Inherits from PluginBase. Uses DatasetMapper and SupersetSqlLabExecutor." }, { "source_id": "MapperPluginModule", @@ -35789,14 +37071,14 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region MapperPluginModule [TYPE Module] [SEMANTICS mapper, dataset, column, excel, mapping]\n# @BRIEF Implements a plugin for mapping dataset columns using external database connections or Excel files.\n# @LAYER: Plugins\n# @RELATION Inherits from PluginBase. Uses DatasetMapper from superset_tool.\n# @RELATION USES -> TaskContext\n\nfrom typing import Any\n\nfrom ..core.database import SessionLocal\nfrom ..core.logger import belief_scope, logger\nfrom ..core.plugin_base import PluginBase\nfrom ..core.superset_client import SupersetClient\nfrom ..core.task_manager.context import TaskContext\nfrom ..core.utils.dataset_mapper import DatasetMapper\nfrom ..models.connection import ConnectionConfig\n\n\n# #region MapperPlugin [TYPE Class]\n# @BRIEF Plugin for mapping dataset columns verbose names.\nclass MapperPlugin(PluginBase):\n \"\"\"\n Plugin for mapping dataset columns verbose names.\n \"\"\"\n\n @property\n # region id [TYPE Function]\n # @PURPOSE: Returns the unique identifier for the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string ID.\n # @RETURN: str - \"dataset-mapper\"\n def id(self) -> str:\n with belief_scope(\"id\"):\n return \"dataset-mapper\"\n # endregion id\n\n @property\n # region name [TYPE Function]\n # @PURPOSE: Returns the human-readable name of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string name.\n # @RETURN: str - Plugin name.\n def name(self) -> str:\n with belief_scope(\"name\"):\n return \"Dataset Mapper\"\n # endregion name\n\n @property\n # region description [TYPE Function]\n # @PURPOSE: Returns a description of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string description.\n # @RETURN: str - Plugin description.\n def description(self) -> str:\n with belief_scope(\"description\"):\n return \"Map dataset column verbose names using PostgreSQL comments or Excel files.\"\n # endregion description\n\n @property\n # region version [TYPE Function]\n # @PURPOSE: Returns the version of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string version.\n # @RETURN: str - \"1.0.0\"\n def version(self) -> str:\n with belief_scope(\"version\"):\n return \"1.0.0\"\n # endregion version\n\n @property\n # region ui_route [TYPE Function]\n # @PURPOSE: Returns the frontend route for the mapper plugin.\n # @RETURN: str - \"/tools/mapper\"\n def ui_route(self) -> str:\n with belief_scope(\"ui_route\"):\n return \"/tools/mapper\"\n # endregion ui_route\n\n # region get_schema [TYPE Function]\n # @PURPOSE: Returns the JSON schema for the mapper plugin parameters.\n # @PRE: Plugin instance exists.\n # @POST: Returns dictionary schema.\n # @RETURN: Dict[str, Any] - JSON schema.\n def get_schema(self) -> dict[str, Any]:\n with belief_scope(\"get_schema\"):\n return {\n \"type\": \"object\",\n \"properties\": {\n \"env\": {\n \"type\": \"string\",\n \"title\": \"Environment\",\n \"description\": \"The Superset environment (e.g., 'dev').\"\n },\n \"dataset_id\": {\n \"type\": \"integer\",\n \"title\": \"Dataset ID\",\n \"description\": \"The ID of the dataset to update.\"\n },\n \"source\": {\n \"type\": \"string\",\n \"title\": \"Mapping Source\",\n \"enum\": [\"postgres\", \"excel\"],\n \"default\": \"postgres\"\n },\n \"connection_id\": {\n \"type\": \"string\",\n \"title\": \"Saved Connection\",\n \"description\": \"The ID of a saved database connection (for postgres source).\"\n },\n \"table_name\": {\n \"type\": \"string\",\n \"title\": \"Table Name\",\n \"description\": \"Target table name in PostgreSQL.\"\n },\n \"table_schema\": {\n \"type\": \"string\",\n \"title\": \"Table Schema\",\n \"description\": \"Target table schema in PostgreSQL.\",\n \"default\": \"public\"\n },\n \"excel_path\": {\n \"type\": \"string\",\n \"title\": \"Excel Path\",\n \"description\": \"Path to the Excel file (for excel source).\"\n }\n },\n \"required\": [\"env\", \"dataset_id\", \"source\"]\n }\n # endregion get_schema\n\n # region execute [TYPE Function]\n # @PURPOSE: Executes the dataset mapping logic with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Mapping parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.\n # @POST: Updates the dataset in Superset.\n # @RETURN: Dict[str, Any] - Execution status.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None) -> dict[str, Any]:\n with belief_scope(\"execute\"):\n env_name = params.get(\"env\")\n dataset_id = params.get(\"dataset_id\")\n source = params.get(\"source\")\n\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n superset_log = log.with_source(\"superset_api\") if context else log\n db_log = log.with_source(\"postgres\") if context else log\n\n if not env_name or dataset_id is None or not source:\n log.error(\"Missing required parameters: env, dataset_id, source\")\n raise ValueError(\"Missing required parameters: env, dataset_id, source\")\n\n # Get config and initialize client\n from ..dependencies import get_config_manager\n config_manager = get_config_manager()\n env_config = config_manager.get_environment(env_name)\n if not env_config:\n log.error(f\"Environment '{env_name}' not found in configuration.\")\n raise ValueError(f\"Environment '{env_name}' not found in configuration.\")\n\n client = SupersetClient(env_config)\n client.authenticate()\n\n postgres_config = None\n if source == \"postgres\":\n connection_id = params.get(\"connection_id\")\n if not connection_id:\n log.error(\"connection_id is required for postgres source.\")\n raise ValueError(\"connection_id is required for postgres source.\")\n\n # Load connection from DB\n db = SessionLocal()\n try:\n conn_config = db.query(ConnectionConfig).filter(ConnectionConfig.id == connection_id).first()\n if not conn_config:\n db_log.error(f\"Connection {connection_id} not found.\")\n raise ValueError(f\"Connection {connection_id} not found.\")\n\n postgres_config = {\n 'dbname': conn_config.database,\n 'user': conn_config.username,\n 'password': conn_config.password,\n 'host': conn_config.host,\n 'port': str(conn_config.port) if conn_config.port else '5432'\n }\n db_log.debug(f\"Loaded connection config for {conn_config.host}:{conn_config.port}/{conn_config.database}\")\n finally:\n db.close()\n\n log.info(f\"Starting mapping for dataset {dataset_id} in {env_name}\")\n\n mapper = DatasetMapper()\n\n try:\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=source,\n postgres_config=postgres_config,\n excel_path=params.get(\"excel_path\"),\n table_name=params.get(\"table_name\"),\n table_schema=params.get(\"table_schema\") or \"public\"\n )\n superset_log.info(f\"Mapping completed for dataset {dataset_id}\")\n return {\"status\": \"success\", \"dataset_id\": dataset_id}\n except Exception as e:\n log.error(f\"Mapping failed: {e}\")\n raise\n # endregion execute\n\n# #endregion MapperPlugin\n# #endregion MapperPluginModule\n" + "body": "# #region MapperPluginModule [TYPE Module] [SEMANTICS mapper, dataset, column, sqllab, excel, mapping]\n# @BRIEF Implements a plugin for mapping dataset columns using Superset SQL Lab or Excel files.\n# @LAYER: Plugins\n# @RELATION Inherits from PluginBase. Uses DatasetMapper and SupersetSqlLabExecutor.\n# @RELATION USES -> TaskContext\n\nfrom typing import Any\n\nfrom ..core.logger import belief_scope, logger\nfrom ..core.plugin_base import PluginBase\nfrom ..core.superset_client import SupersetClient\nfrom ..core.task_manager.context import TaskContext\nfrom ..core.utils.dataset_mapper import DatasetMapper\n\n\n# #region MapperPlugin [TYPE Class]\n# @BRIEF Plugin for mapping dataset columns verbose names.\nclass MapperPlugin(PluginBase):\n \"\"\"\n Plugin for mapping dataset columns verbose names.\n \"\"\"\n\n @property\n # region id [TYPE Function]\n # @PURPOSE: Returns the unique identifier for the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string ID.\n # @RETURN: str - \"dataset-mapper\"\n def id(self) -> str:\n with belief_scope(\"id\"):\n return \"dataset-mapper\"\n # endregion id\n\n @property\n # region name [TYPE Function]\n # @PURPOSE: Returns the human-readable name of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string name.\n # @RETURN: str - Plugin name.\n def name(self) -> str:\n with belief_scope(\"name\"):\n return \"Dataset Mapper\"\n # endregion name\n\n @property\n # region description [TYPE Function]\n # @PURPOSE: Returns a description of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string description.\n # @RETURN: str - Plugin description.\n def description(self) -> str:\n with belief_scope(\"description\"):\n return \"Map dataset column verbose names using Superset SQL Lab or Excel files.\"\n # endregion description\n\n @property\n # region version [TYPE Function]\n # @PURPOSE: Returns the version of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string version.\n # @RETURN: str - \"1.0.0\"\n def version(self) -> str:\n with belief_scope(\"version\"):\n return \"1.0.0\"\n # endregion version\n\n @property\n # region ui_route [TYPE Function]\n # @PURPOSE: Returns the frontend route for the mapper plugin.\n # @RETURN: str - \"/tools/mapper\"\n def ui_route(self) -> str:\n with belief_scope(\"ui_route\"):\n return \"/tools/mapper\"\n # endregion ui_route\n\n # region get_schema [TYPE Function]\n # @PURPOSE: Returns the JSON schema for the mapper plugin parameters.\n # @PRE: Plugin instance exists.\n # @POST: Returns dictionary schema.\n # @RETURN: Dict[str, Any] - JSON schema.\n def get_schema(self) -> dict[str, Any]:\n with belief_scope(\"get_schema\"):\n return {\n \"type\": \"object\",\n \"properties\": {\n \"env\": {\n \"type\": \"string\",\n \"title\": \"Environment\",\n \"description\": \"The Superset environment (e.g., 'dev').\"\n },\n \"dataset_id\": {\n \"type\": \"integer\",\n \"title\": \"Dataset ID\",\n \"description\": \"The ID of the dataset to update.\"\n },\n \"source\": {\n \"type\": \"string\",\n \"title\": \"Mapping Source\",\n \"enum\": [\"sqllab\", \"excel\"],\n \"default\": \"sqllab\"\n },\n \"database_id\": {\n \"type\": \"integer\",\n \"title\": \"Superset Database ID\",\n \"description\": \"Target database ID in Superset (for sqllab source).\"\n },\n \"sql_query\": {\n \"type\": \"string\",\n \"title\": \"SQL Query\",\n \"description\": \"Custom SQL query returning column_name and verbose_name columns. Default: information_schema.columns.\",\n \"default\": \"\"\n },\n \"excel_path\": {\n \"type\": \"string\",\n \"title\": \"Excel Path\",\n \"description\": \"Path to the Excel file (for excel source).\"\n }\n },\n \"required\": [\"env\", \"dataset_id\", \"source\"]\n }\n # endregion get_schema\n\n # region execute [TYPE Function]\n # @PURPOSE: Executes the dataset mapping logic with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Mapping parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.\n # @POST: Updates the dataset in Superset.\n # @RETURN: Dict[str, Any] - Execution status.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None) -> dict[str, Any]:\n with belief_scope(\"execute\"):\n env_name = params.get(\"env\")\n dataset_id = params.get(\"dataset_id\")\n source = params.get(\"source\")\n\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n superset_log = log.with_source(\"superset_api\") if context else log\n\n if not env_name or dataset_id is None or not source:\n log.error(\"Missing required parameters: env, dataset_id, source\")\n raise ValueError(\"Missing required parameters: env, dataset_id, source\")\n\n # Get config and initialize client\n from ..dependencies import get_config_manager\n config_manager = get_config_manager()\n env_config = config_manager.get_environment(env_name)\n if not env_config:\n log.error(f\"Environment '{env_name}' not found in configuration.\")\n raise ValueError(f\"Environment '{env_name}' not found in configuration.\")\n\n client = SupersetClient(env_config)\n client.authenticate()\n\n log.info(f\"Starting mapping for dataset {dataset_id} in {env_name}\")\n\n mapper = DatasetMapper()\n\n try:\n if source == \"sqllab\":\n # Use Superset SQL Lab to query database metadata\n from ..plugins.translate.superset_executor import SupersetSqlLabExecutor\n executor = SupersetSqlLabExecutor(config_manager, env_name)\n database_id = params.get(\"database_id\")\n if not database_id:\n log.error(\"database_id is required for sqllab source.\")\n raise ValueError(\"database_id is required for sqllab source.\")\n executor.resolve_database_id(target_database_id=str(database_id))\n\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=\"sqllab\",\n sqllab_executor=executor,\n database_id=database_id,\n sql_query=params.get(\"sql_query\"),\n )\n else:\n # Excel source\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=\"excel\",\n excel_path=params.get(\"excel_path\") or params.get(\"file_data\")\n )\n superset_log.info(f\"Mapping completed for dataset {dataset_id}\")\n return {\"status\": \"success\", \"dataset_id\": dataset_id}\n except Exception as e:\n log.error(f\"Mapping failed: {e}\")\n raise\n # endregion execute\n\n# #endregion MapperPlugin\n# #endregion MapperPluginModule\n" }, { "contract_id": "MapperPlugin", "contract_type": "Class", "file_path": "backend/src/plugins/mapper.py", - "start_line": 18, - "end_line": 212, + "start_line": 16, + "end_line": 195, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -35806,7 +37088,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region MapperPlugin [TYPE Class]\n# @BRIEF Plugin for mapping dataset columns verbose names.\nclass MapperPlugin(PluginBase):\n \"\"\"\n Plugin for mapping dataset columns verbose names.\n \"\"\"\n\n @property\n # region id [TYPE Function]\n # @PURPOSE: Returns the unique identifier for the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string ID.\n # @RETURN: str - \"dataset-mapper\"\n def id(self) -> str:\n with belief_scope(\"id\"):\n return \"dataset-mapper\"\n # endregion id\n\n @property\n # region name [TYPE Function]\n # @PURPOSE: Returns the human-readable name of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string name.\n # @RETURN: str - Plugin name.\n def name(self) -> str:\n with belief_scope(\"name\"):\n return \"Dataset Mapper\"\n # endregion name\n\n @property\n # region description [TYPE Function]\n # @PURPOSE: Returns a description of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string description.\n # @RETURN: str - Plugin description.\n def description(self) -> str:\n with belief_scope(\"description\"):\n return \"Map dataset column verbose names using PostgreSQL comments or Excel files.\"\n # endregion description\n\n @property\n # region version [TYPE Function]\n # @PURPOSE: Returns the version of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string version.\n # @RETURN: str - \"1.0.0\"\n def version(self) -> str:\n with belief_scope(\"version\"):\n return \"1.0.0\"\n # endregion version\n\n @property\n # region ui_route [TYPE Function]\n # @PURPOSE: Returns the frontend route for the mapper plugin.\n # @RETURN: str - \"/tools/mapper\"\n def ui_route(self) -> str:\n with belief_scope(\"ui_route\"):\n return \"/tools/mapper\"\n # endregion ui_route\n\n # region get_schema [TYPE Function]\n # @PURPOSE: Returns the JSON schema for the mapper plugin parameters.\n # @PRE: Plugin instance exists.\n # @POST: Returns dictionary schema.\n # @RETURN: Dict[str, Any] - JSON schema.\n def get_schema(self) -> dict[str, Any]:\n with belief_scope(\"get_schema\"):\n return {\n \"type\": \"object\",\n \"properties\": {\n \"env\": {\n \"type\": \"string\",\n \"title\": \"Environment\",\n \"description\": \"The Superset environment (e.g., 'dev').\"\n },\n \"dataset_id\": {\n \"type\": \"integer\",\n \"title\": \"Dataset ID\",\n \"description\": \"The ID of the dataset to update.\"\n },\n \"source\": {\n \"type\": \"string\",\n \"title\": \"Mapping Source\",\n \"enum\": [\"postgres\", \"excel\"],\n \"default\": \"postgres\"\n },\n \"connection_id\": {\n \"type\": \"string\",\n \"title\": \"Saved Connection\",\n \"description\": \"The ID of a saved database connection (for postgres source).\"\n },\n \"table_name\": {\n \"type\": \"string\",\n \"title\": \"Table Name\",\n \"description\": \"Target table name in PostgreSQL.\"\n },\n \"table_schema\": {\n \"type\": \"string\",\n \"title\": \"Table Schema\",\n \"description\": \"Target table schema in PostgreSQL.\",\n \"default\": \"public\"\n },\n \"excel_path\": {\n \"type\": \"string\",\n \"title\": \"Excel Path\",\n \"description\": \"Path to the Excel file (for excel source).\"\n }\n },\n \"required\": [\"env\", \"dataset_id\", \"source\"]\n }\n # endregion get_schema\n\n # region execute [TYPE Function]\n # @PURPOSE: Executes the dataset mapping logic with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Mapping parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.\n # @POST: Updates the dataset in Superset.\n # @RETURN: Dict[str, Any] - Execution status.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None) -> dict[str, Any]:\n with belief_scope(\"execute\"):\n env_name = params.get(\"env\")\n dataset_id = params.get(\"dataset_id\")\n source = params.get(\"source\")\n\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n superset_log = log.with_source(\"superset_api\") if context else log\n db_log = log.with_source(\"postgres\") if context else log\n\n if not env_name or dataset_id is None or not source:\n log.error(\"Missing required parameters: env, dataset_id, source\")\n raise ValueError(\"Missing required parameters: env, dataset_id, source\")\n\n # Get config and initialize client\n from ..dependencies import get_config_manager\n config_manager = get_config_manager()\n env_config = config_manager.get_environment(env_name)\n if not env_config:\n log.error(f\"Environment '{env_name}' not found in configuration.\")\n raise ValueError(f\"Environment '{env_name}' not found in configuration.\")\n\n client = SupersetClient(env_config)\n client.authenticate()\n\n postgres_config = None\n if source == \"postgres\":\n connection_id = params.get(\"connection_id\")\n if not connection_id:\n log.error(\"connection_id is required for postgres source.\")\n raise ValueError(\"connection_id is required for postgres source.\")\n\n # Load connection from DB\n db = SessionLocal()\n try:\n conn_config = db.query(ConnectionConfig).filter(ConnectionConfig.id == connection_id).first()\n if not conn_config:\n db_log.error(f\"Connection {connection_id} not found.\")\n raise ValueError(f\"Connection {connection_id} not found.\")\n\n postgres_config = {\n 'dbname': conn_config.database,\n 'user': conn_config.username,\n 'password': conn_config.password,\n 'host': conn_config.host,\n 'port': str(conn_config.port) if conn_config.port else '5432'\n }\n db_log.debug(f\"Loaded connection config for {conn_config.host}:{conn_config.port}/{conn_config.database}\")\n finally:\n db.close()\n\n log.info(f\"Starting mapping for dataset {dataset_id} in {env_name}\")\n\n mapper = DatasetMapper()\n\n try:\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=source,\n postgres_config=postgres_config,\n excel_path=params.get(\"excel_path\"),\n table_name=params.get(\"table_name\"),\n table_schema=params.get(\"table_schema\") or \"public\"\n )\n superset_log.info(f\"Mapping completed for dataset {dataset_id}\")\n return {\"status\": \"success\", \"dataset_id\": dataset_id}\n except Exception as e:\n log.error(f\"Mapping failed: {e}\")\n raise\n # endregion execute\n\n# #endregion MapperPlugin\n" + "body": "# #region MapperPlugin [TYPE Class]\n# @BRIEF Plugin for mapping dataset columns verbose names.\nclass MapperPlugin(PluginBase):\n \"\"\"\n Plugin for mapping dataset columns verbose names.\n \"\"\"\n\n @property\n # region id [TYPE Function]\n # @PURPOSE: Returns the unique identifier for the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string ID.\n # @RETURN: str - \"dataset-mapper\"\n def id(self) -> str:\n with belief_scope(\"id\"):\n return \"dataset-mapper\"\n # endregion id\n\n @property\n # region name [TYPE Function]\n # @PURPOSE: Returns the human-readable name of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string name.\n # @RETURN: str - Plugin name.\n def name(self) -> str:\n with belief_scope(\"name\"):\n return \"Dataset Mapper\"\n # endregion name\n\n @property\n # region description [TYPE Function]\n # @PURPOSE: Returns a description of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string description.\n # @RETURN: str - Plugin description.\n def description(self) -> str:\n with belief_scope(\"description\"):\n return \"Map dataset column verbose names using Superset SQL Lab or Excel files.\"\n # endregion description\n\n @property\n # region version [TYPE Function]\n # @PURPOSE: Returns the version of the mapper plugin.\n # @PRE: Plugin instance exists.\n # @POST: Returns string version.\n # @RETURN: str - \"1.0.0\"\n def version(self) -> str:\n with belief_scope(\"version\"):\n return \"1.0.0\"\n # endregion version\n\n @property\n # region ui_route [TYPE Function]\n # @PURPOSE: Returns the frontend route for the mapper plugin.\n # @RETURN: str - \"/tools/mapper\"\n def ui_route(self) -> str:\n with belief_scope(\"ui_route\"):\n return \"/tools/mapper\"\n # endregion ui_route\n\n # region get_schema [TYPE Function]\n # @PURPOSE: Returns the JSON schema for the mapper plugin parameters.\n # @PRE: Plugin instance exists.\n # @POST: Returns dictionary schema.\n # @RETURN: Dict[str, Any] - JSON schema.\n def get_schema(self) -> dict[str, Any]:\n with belief_scope(\"get_schema\"):\n return {\n \"type\": \"object\",\n \"properties\": {\n \"env\": {\n \"type\": \"string\",\n \"title\": \"Environment\",\n \"description\": \"The Superset environment (e.g., 'dev').\"\n },\n \"dataset_id\": {\n \"type\": \"integer\",\n \"title\": \"Dataset ID\",\n \"description\": \"The ID of the dataset to update.\"\n },\n \"source\": {\n \"type\": \"string\",\n \"title\": \"Mapping Source\",\n \"enum\": [\"sqllab\", \"excel\"],\n \"default\": \"sqllab\"\n },\n \"database_id\": {\n \"type\": \"integer\",\n \"title\": \"Superset Database ID\",\n \"description\": \"Target database ID in Superset (for sqllab source).\"\n },\n \"sql_query\": {\n \"type\": \"string\",\n \"title\": \"SQL Query\",\n \"description\": \"Custom SQL query returning column_name and verbose_name columns. Default: information_schema.columns.\",\n \"default\": \"\"\n },\n \"excel_path\": {\n \"type\": \"string\",\n \"title\": \"Excel Path\",\n \"description\": \"Path to the Excel file (for excel source).\"\n }\n },\n \"required\": [\"env\", \"dataset_id\", \"source\"]\n }\n # endregion get_schema\n\n # region execute [TYPE Function]\n # @PURPOSE: Executes the dataset mapping logic with TaskContext support.\n # @PARAM: params (Dict[str, Any]) - Mapping parameters.\n # @PARAM: context (Optional[TaskContext]) - Task context for logging with source attribution.\n # @PRE: Params contain valid 'env', 'dataset_id', and 'source'. params must be a dictionary.\n # @POST: Updates the dataset in Superset.\n # @RETURN: Dict[str, Any] - Execution status.\n async def execute(self, params: dict[str, Any], context: TaskContext | None = None) -> dict[str, Any]:\n with belief_scope(\"execute\"):\n env_name = params.get(\"env\")\n dataset_id = params.get(\"dataset_id\")\n source = params.get(\"source\")\n\n # Use TaskContext logger if available, otherwise fall back to app logger\n log = context.logger if context else logger\n\n # Create sub-loggers for different components\n superset_log = log.with_source(\"superset_api\") if context else log\n\n if not env_name or dataset_id is None or not source:\n log.error(\"Missing required parameters: env, dataset_id, source\")\n raise ValueError(\"Missing required parameters: env, dataset_id, source\")\n\n # Get config and initialize client\n from ..dependencies import get_config_manager\n config_manager = get_config_manager()\n env_config = config_manager.get_environment(env_name)\n if not env_config:\n log.error(f\"Environment '{env_name}' not found in configuration.\")\n raise ValueError(f\"Environment '{env_name}' not found in configuration.\")\n\n client = SupersetClient(env_config)\n client.authenticate()\n\n log.info(f\"Starting mapping for dataset {dataset_id} in {env_name}\")\n\n mapper = DatasetMapper()\n\n try:\n if source == \"sqllab\":\n # Use Superset SQL Lab to query database metadata\n from ..plugins.translate.superset_executor import SupersetSqlLabExecutor\n executor = SupersetSqlLabExecutor(config_manager, env_name)\n database_id = params.get(\"database_id\")\n if not database_id:\n log.error(\"database_id is required for sqllab source.\")\n raise ValueError(\"database_id is required for sqllab source.\")\n executor.resolve_database_id(target_database_id=str(database_id))\n\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=\"sqllab\",\n sqllab_executor=executor,\n database_id=database_id,\n sql_query=params.get(\"sql_query\"),\n )\n else:\n # Excel source\n mapper.run_mapping(\n superset_client=client,\n dataset_id=dataset_id,\n source=\"excel\",\n excel_path=params.get(\"excel_path\") or params.get(\"file_data\")\n )\n superset_log.info(f\"Mapping completed for dataset {dataset_id}\")\n return {\"status\": \"success\", \"dataset_id\": dataset_id}\n except Exception as e:\n log.error(f\"Mapping failed: {e}\")\n raise\n # endregion execute\n\n# #endregion MapperPlugin\n" }, { "contract_id": "MigrationPlugin", @@ -41858,6 +43140,176 @@ "tier_source": "AutoCalculated", "body": "# #region TargetSchemaValidationResponse [C:1] [TYPE Class]\n# @BRIEF Schema for target table schema validation response.\nclass TargetSchemaValidationResponse(BaseModel):\n table_exists: bool = False\n error: str | None = None\n expected_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description=\"Columns that the INSERT expects\")\n actual_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description=\"Columns that exist in the target table\")\n missing_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description=\"Expected columns NOT found in target table\")\n extra_columns: list[TargetSchemaColumnInfo] = Field(default_factory=list, description=\"Actual columns NOT in expected list\")\n all_present: bool = False\n# #endregion TargetSchemaValidationResponse\n" }, + { + "contract_id": "ValidationSchemas", + "contract_type": "Module", + "file_path": "backend/src/schemas/validation.py", + "start_line": 1, + "end_line": 139, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "API", + "PURPOSE": "Pydantic v2 schemas for validation task management and run history API serialization." + }, + "relations": [ + { + "source_id": "ValidationSchemas", + "relation_type": "DEPENDS_ON", + "target_id": "pydantic", + "target_ref": "pydantic" + } + ], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationSchemas [C:3] [TYPE Module] [SEMANTICS pydantic, validation, schema, task, run]\n# @BRIEF Pydantic v2 schemas for validation task management and run history API serialization.\n# @LAYER API\n# @RELATION DEPENDS_ON -> pydantic\n\nfrom datetime import datetime\nfrom typing import Any\n\nfrom pydantic import BaseModel, Field\n\n\n# #region ValidationTaskCreate [C:1] [TYPE Class]\n# @BRIEF Schema for creating a new validation task (policy).\nclass ValidationTaskCreate(BaseModel):\n name: str = Field(..., description=\"Human-readable task name\")\n environment_id: str = Field(..., description=\"Target Superset environment ID\")\n dashboard_ids: list[str] = Field(..., description=\"List of dashboard IDs to validate (use single-element array for v1)\")\n provider_id: str = Field(..., description=\"LLM provider ID — must be multimodal\")\n schedule_days: list[int] | None = Field(None, description=\"Days of week (0-6, 0=Sunday). Omit or empty for manual-only.\")\n window_start: str | None = Field(None, description=\"Window start time, HH:MM format\")\n window_end: str | None = Field(None, description=\"Window end time, HH:MM format\")\n notify_owners: bool = Field(True, description=\"Notify dashboard owners on failure\")\n custom_channels: list[str] | None = Field(None, description=\"Additional notification channels\")\n alert_condition: str = Field(\"FAIL_ONLY\", description=\"FAIL_ONLY, WARN_AND_FAIL, or ALWAYS\")\n is_active: bool = Field(True, description=\"Whether the task is active\")\n# #endregion ValidationTaskCreate\n\n\n# #region ValidationTaskUpdate [C:1] [TYPE Class]\n# @BRIEF Schema for updating an existing validation task (policy).\nclass ValidationTaskUpdate(BaseModel):\n name: str | None = None\n environment_id: str | None = None\n dashboard_ids: list[str] | None = None\n provider_id: str | None = None\n schedule_days: list[int] | None = None\n window_start: str | None = None\n window_end: str | None = None\n notify_owners: bool | None = None\n custom_channels: list[str] | None = None\n alert_condition: str | None = None\n is_active: bool | None = None\n# #endregion ValidationTaskUpdate\n\n\n# #region ValidationTaskResponse [C:1] [TYPE Class]\n# @BRIEF Schema for validation task API responses — includes last run status from join.\nclass ValidationTaskResponse(BaseModel):\n id: str\n name: str\n environment_id: str\n is_active: bool\n dashboard_ids: list[str]\n provider_id: str | None = None\n schedule_days: list[int] | None = None\n window_start: str | None = None\n window_end: str | None = None\n notify_owners: bool = True\n custom_channels: list[str] | None = None\n alert_condition: str = \"FAIL_ONLY\"\n created_at: datetime\n updated_at: datetime | None = None\n last_run_status: str | None = None\n last_run_at: datetime | None = None\n\n class Config:\n from_attributes = True\n# #endregion ValidationTaskResponse\n\n\n# #region ValidationTaskListResponse [C:1] [TYPE Class]\n# @BRIEF Schema for paginated task list response.\nclass ValidationTaskListResponse(BaseModel):\n items: list[ValidationTaskResponse] = []\n total: int = 0\n page: int = 1\n page_size: int = 20\n# #endregion ValidationTaskListResponse\n\n\n# #region ValidationRunResponse [C:1] [TYPE Class]\n# @BRIEF Schema for validation run history listing.\nclass ValidationRunResponse(BaseModel):\n id: str\n task_id: str | None = None\n dashboard_id: str\n environment_id: str | None = None\n status: str\n summary: str = \"\"\n timestamp: datetime | None = None\n screenshot_path: str | None = None\n task_name: str | None = None # resolved from ValidationPolicy at query time\n\n class Config:\n from_attributes = True\n# #endregion ValidationRunResponse\n\n\n# #region ValidationRunListResponse [C:1] [TYPE Class]\n# @BRIEF Schema for paginated run list response.\nclass ValidationRunListResponse(BaseModel):\n items: list[ValidationRunResponse] = []\n total: int = 0\n page: int = 1\n page_size: int = 20\n# #endregion ValidationRunListResponse\n\n\n# #region ValidationRunDetailResponse [C:1] [TYPE Class]\n# @BRIEF Schema for full run detail including parsed issues and raw response.\nclass ValidationRunDetailResponse(BaseModel):\n id: str\n task_id: str | None = None\n dashboard_id: str\n environment_id: str | None = None\n status: str\n summary: str = \"\"\n timestamp: datetime | None = None\n screenshot_path: str | None = None\n issues: list[dict[str, Any]] = Field(default_factory=list)\n raw_response: str | None = None\n task_name: str | None = None\n\n class Config:\n from_attributes = True\n# #endregion ValidationRunDetailResponse\n\n\n# #region TriggerRunResponse [C:1] [TYPE Class]\n# @BRIEF Schema for trigger-run response — returns spawned task ID.\nclass TriggerRunResponse(BaseModel):\n task_id: str\n spawned_task_id: str\n status: str = \"PENDING\"\n message: str = \"Validation task spawned\"\n# #endregion TriggerRunResponse\n\n\n# #endregion ValidationSchemas\n" + }, + { + "contract_id": "ValidationTaskCreate", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 12, + "end_line": 26, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for creating a new validation task (policy)." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationTaskCreate [C:1] [TYPE Class]\n# @BRIEF Schema for creating a new validation task (policy).\nclass ValidationTaskCreate(BaseModel):\n name: str = Field(..., description=\"Human-readable task name\")\n environment_id: str = Field(..., description=\"Target Superset environment ID\")\n dashboard_ids: list[str] = Field(..., description=\"List of dashboard IDs to validate (use single-element array for v1)\")\n provider_id: str = Field(..., description=\"LLM provider ID — must be multimodal\")\n schedule_days: list[int] | None = Field(None, description=\"Days of week (0-6, 0=Sunday). Omit or empty for manual-only.\")\n window_start: str | None = Field(None, description=\"Window start time, HH:MM format\")\n window_end: str | None = Field(None, description=\"Window end time, HH:MM format\")\n notify_owners: bool = Field(True, description=\"Notify dashboard owners on failure\")\n custom_channels: list[str] | None = Field(None, description=\"Additional notification channels\")\n alert_condition: str = Field(\"FAIL_ONLY\", description=\"FAIL_ONLY, WARN_AND_FAIL, or ALWAYS\")\n is_active: bool = Field(True, description=\"Whether the task is active\")\n# #endregion ValidationTaskCreate\n" + }, + { + "contract_id": "ValidationTaskUpdate", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 29, + "end_line": 43, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for updating an existing validation task (policy)." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationTaskUpdate [C:1] [TYPE Class]\n# @BRIEF Schema for updating an existing validation task (policy).\nclass ValidationTaskUpdate(BaseModel):\n name: str | None = None\n environment_id: str | None = None\n dashboard_ids: list[str] | None = None\n provider_id: str | None = None\n schedule_days: list[int] | None = None\n window_start: str | None = None\n window_end: str | None = None\n notify_owners: bool | None = None\n custom_channels: list[str] | None = None\n alert_condition: str | None = None\n is_active: bool | None = None\n# #endregion ValidationTaskUpdate\n" + }, + { + "contract_id": "ValidationTaskResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 46, + "end_line": 68, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for validation task API responses — includes last run status from join." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationTaskResponse [C:1] [TYPE Class]\n# @BRIEF Schema for validation task API responses — includes last run status from join.\nclass ValidationTaskResponse(BaseModel):\n id: str\n name: str\n environment_id: str\n is_active: bool\n dashboard_ids: list[str]\n provider_id: str | None = None\n schedule_days: list[int] | None = None\n window_start: str | None = None\n window_end: str | None = None\n notify_owners: bool = True\n custom_channels: list[str] | None = None\n alert_condition: str = \"FAIL_ONLY\"\n created_at: datetime\n updated_at: datetime | None = None\n last_run_status: str | None = None\n last_run_at: datetime | None = None\n\n class Config:\n from_attributes = True\n# #endregion ValidationTaskResponse\n" + }, + { + "contract_id": "ValidationTaskListResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 71, + "end_line": 78, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for paginated task list response." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationTaskListResponse [C:1] [TYPE Class]\n# @BRIEF Schema for paginated task list response.\nclass ValidationTaskListResponse(BaseModel):\n items: list[ValidationTaskResponse] = []\n total: int = 0\n page: int = 1\n page_size: int = 20\n# #endregion ValidationTaskListResponse\n" + }, + { + "contract_id": "ValidationRunResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 81, + "end_line": 96, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for validation run history listing." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationRunResponse [C:1] [TYPE Class]\n# @BRIEF Schema for validation run history listing.\nclass ValidationRunResponse(BaseModel):\n id: str\n task_id: str | None = None\n dashboard_id: str\n environment_id: str | None = None\n status: str\n summary: str = \"\"\n timestamp: datetime | None = None\n screenshot_path: str | None = None\n task_name: str | None = None # resolved from ValidationPolicy at query time\n\n class Config:\n from_attributes = True\n# #endregion ValidationRunResponse\n" + }, + { + "contract_id": "ValidationRunListResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 99, + "end_line": 106, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for paginated run list response." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationRunListResponse [C:1] [TYPE Class]\n# @BRIEF Schema for paginated run list response.\nclass ValidationRunListResponse(BaseModel):\n items: list[ValidationRunResponse] = []\n total: int = 0\n page: int = 1\n page_size: int = 20\n# #endregion ValidationRunListResponse\n" + }, + { + "contract_id": "ValidationRunDetailResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 109, + "end_line": 126, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for full run detail including parsed issues and raw response." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationRunDetailResponse [C:1] [TYPE Class]\n# @BRIEF Schema for full run detail including parsed issues and raw response.\nclass ValidationRunDetailResponse(BaseModel):\n id: str\n task_id: str | None = None\n dashboard_id: str\n environment_id: str | None = None\n status: str\n summary: str = \"\"\n timestamp: datetime | None = None\n screenshot_path: str | None = None\n issues: list[dict[str, Any]] = Field(default_factory=list)\n raw_response: str | None = None\n task_name: str | None = None\n\n class Config:\n from_attributes = True\n# #endregion ValidationRunDetailResponse\n" + }, + { + "contract_id": "TriggerRunResponse", + "contract_type": "Class", + "file_path": "backend/src/schemas/validation.py", + "start_line": 129, + "end_line": 136, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PURPOSE": "Schema for trigger-run response — returns spawned task ID." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region TriggerRunResponse [C:1] [TYPE Class]\n# @BRIEF Schema for trigger-run response — returns spawned task ID.\nclass TriggerRunResponse(BaseModel):\n task_id: str\n spawned_task_id: str\n status: str = \"PENDING\"\n message: str = \"Validation task spawned\"\n# #endregion TriggerRunResponse\n" + }, { "contract_id": "ScriptsPackage", "contract_type": "Package", @@ -50079,6 +51531,134 @@ "tier_source": "AutoCalculated", "body": " # #region _resolve_environment [C:2] [TYPE Function]\n # @BRIEF Resolve environment model from configured environments by id.\n # @PRE environment_id is provided.\n # @POST Returns environment object when found else None.\n def _resolve_environment(self, environment_id: str):\n environments = self.config_manager.get_environments()\n for env in environments:\n if str(getattr(env, \"id\", \"\")) == str(environment_id):\n return env\n return None\n # #endregion _resolve_environment\n" }, + { + "contract_id": "ValidationRunService", + "contract_type": "Module", + "file_path": "backend/src/services/validation_run_service.py", + "start_line": 1, + "end_line": 135, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "Service", + "PURPOSE": "Business logic for validation run queries: list, detail, delete." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationRunService [C:3] [TYPE Module] [SEMANTICS validation, run, service, sqlalchemy]\n# @BRIEF Business logic for validation run queries: list, detail, delete.\n# @LAYER Service\n\nfrom datetime import date\n\nfrom sqlalchemy.orm import Session\n\nfrom ..core.logger import logger\nfrom ..models.llm import ValidationPolicy, ValidationRecord\nfrom ..schemas.validation import ValidationRunDetailResponse, ValidationRunResponse\n\n\n# #region ValidationRunService [C:4] [TYPE Class]\n# @BRIEF Queries and manages validation run history records.\n# @RATIONALE Separates run history queries from task CRUD — run data has different access patterns (filter-heavy, paginated) than task configuration.\n# @REJECTED Merging run service into task service rejected — would create a large class with mixed responsibilities and different query patterns.\nclass ValidationRunService:\n\n def __init__(self, db: Session):\n self.db = db\n\n # #region _resolve_task_name [C:2] [TYPE Function]\n def _resolve_task_name(self, record: ValidationRecord) -> str | None:\n \"\"\"Find matching ValidationPolicy name by dashboard + environment.\"\"\"\n if not record.dashboard_id or not record.environment_id:\n return None\n candidates = (\n self.db.query(ValidationPolicy)\n .filter(ValidationPolicy.environment_id == record.environment_id)\n .all()\n )\n for policy in candidates:\n dids = list(policy.dashboard_ids) if policy.dashboard_ids else []\n if record.dashboard_id in dids:\n return policy.name\n return None\n\n # #endregion _resolve_task_name\n\n # #region list_runs [C:3] [TYPE Function]\n # @RATIONALE Supports 6 optional filters + pagination at the query level, enabling flexible cross-task run exploration without application-level filtering.\n # @REJECTED Application-level filtering after loading all runs rejected — would be unscalable with large run histories; database-level WHERE clauses are more efficient.\n def list_runs(\n self,\n task_id: str | None = None,\n dashboard_id: str | None = None,\n environment_id: str | None = None,\n status: str | None = None,\n date_from: date | None = None,\n date_to: date | None = None,\n page: int = 1,\n page_size: int = 20,\n ) -> tuple[int, list[ValidationRunResponse]]:\n query = self.db.query(ValidationRecord)\n\n if task_id:\n query = query.filter(ValidationRecord.task_id == task_id)\n if dashboard_id:\n query = query.filter(ValidationRecord.dashboard_id == dashboard_id)\n if environment_id:\n query = query.filter(ValidationRecord.environment_id == environment_id)\n if status:\n query = query.filter(ValidationRecord.status == status.upper())\n if date_from:\n query = query.filter(ValidationRecord.timestamp >= date_from)\n if date_to:\n query = query.filter(ValidationRecord.timestamp <= date_to)\n\n total = query.count()\n records = (\n query.order_by(ValidationRecord.timestamp.desc())\n .offset((page - 1) * page_size)\n .limit(page_size)\n .all()\n )\n\n items = [\n ValidationRunResponse(\n id=r.id,\n task_id=r.task_id,\n dashboard_id=r.dashboard_id,\n environment_id=r.environment_id,\n status=r.status,\n summary=r.summary or \"\",\n timestamp=r.timestamp,\n screenshot_path=r.screenshot_path,\n task_name=self._resolve_task_name(r),\n )\n for r in records\n ]\n return total, items\n\n # #endregion list_runs\n\n # #region get_run_detail [C:3] [TYPE Function]\n # @RATIONALE Returns full join including issues list and raw_response for the report UI — single query avoids N+1 when displaying the run detail page.\n # @REJECTED Lazy-loading issues and raw_response separately rejected — would cause N+1 queries on the detail page; both fields are always needed for the report view.\n def get_run_detail(self, run_id: str) -> ValidationRunDetailResponse:\n record = self.db.query(ValidationRecord).filter(ValidationRecord.id == run_id).first()\n if not record:\n raise ValueError(f\"Validation run '{run_id}' not found\")\n\n return ValidationRunDetailResponse(\n id=record.id,\n task_id=record.task_id,\n dashboard_id=record.dashboard_id,\n environment_id=record.environment_id,\n status=record.status,\n summary=record.summary or \"\",\n timestamp=record.timestamp,\n screenshot_path=record.screenshot_path,\n issues=list(record.issues) if record.issues else [],\n raw_response=record.raw_response,\n task_name=self._resolve_task_name(record),\n )\n\n # #endregion get_run_detail\n\n # #region delete_run [C:2] [TYPE Function]\n # @RATIONALE Cleans up the database record only — screenshot cleanup is caller responsibility to maintain separation of concerns between DB and filesystem.\n # @REJECTED Automatic screenshot file deletion in service layer rejected — would couple DB cleanup to filesystem operations, complicating testing and error handling.\n def delete_run(self, run_id: str) -> bool:\n record = self.db.query(ValidationRecord).filter(ValidationRecord.id == run_id).first()\n if not record:\n return False\n self.db.delete(record)\n self.db.commit()\n logger.info(\"[ValidationRunService] Deleted run '%s'\", run_id)\n return True\n\n # #endregion delete_run\n\n# #endregion ValidationRunService\n# #endregion ValidationRunService\n" + }, + { + "contract_id": "_resolve_task_name", + "contract_type": "Function", + "file_path": "backend/src/services/validation_run_service.py", + "start_line": 23, + "end_line": 39, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2 + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region _resolve_task_name [C:2] [TYPE Function]\n def _resolve_task_name(self, record: ValidationRecord) -> str | None:\n \"\"\"Find matching ValidationPolicy name by dashboard + environment.\"\"\"\n if not record.dashboard_id or not record.environment_id:\n return None\n candidates = (\n self.db.query(ValidationPolicy)\n .filter(ValidationPolicy.environment_id == record.environment_id)\n .all()\n )\n for policy in candidates:\n dids = list(policy.dashboard_ids) if policy.dashboard_ids else []\n if record.dashboard_id in dids:\n return policy.name\n return None\n\n # #endregion _resolve_task_name\n" + }, + { + "contract_id": "ValidationService", + "contract_type": "Module", + "file_path": "backend/src/services/validation_service.py", + "start_line": 1, + "end_line": 265, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "Service", + "PURPOSE": "Business logic for validation task CRUD and trigger-run." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationService [C:3] [TYPE Module] [SEMANTICS validation, service, sqlalchemy, task]\n# @BRIEF Business logic for validation task CRUD and trigger-run.\n# @LAYER Service\n\nfrom datetime import time\nfrom typing import Any\n\nfrom sqlalchemy.orm import Session\n\nfrom ..core.logger import logger\nfrom ..core.task_manager import TaskManager\nfrom ..models.llm import LLMProvider, ValidationPolicy, ValidationRecord\nfrom ..schemas.validation import ValidationTaskCreate, ValidationTaskResponse, ValidationTaskUpdate\nfrom .llm_provider import LLMProviderService\n\n\ndef _parse_time(value: str | None) -> time | None:\n \"\"\"Parse HH:MM string to datetime.time, or return None.\"\"\"\n if not value:\n return None\n try:\n parts = value.strip().split(\":\")\n return time(int(parts[0]), int(parts[1]))\n except (ValueError, IndexError):\n return None\n\n\ndef _format_time(value: time | None) -> str | None:\n \"\"\"Format datetime.time to HH:MM string, or return None.\"\"\"\n if value is None:\n return None\n return f\"{value.hour:02d}:{value.minute:02d}\"\n\n\n# #region ValidationTaskService [C:4] [TYPE Class]\n# @BRIEF Validation task (policy) CRUD with provider validation and trigger-run.\n# @RATIONALE Service-layer class for validation task CRUD with provider validation and trigger-run. Separates API layer concerns from business logic; enables unit testing without HTTP.\n# @REJECTED Embedding CRUD in route handlers rejected — would duplicate validation logic across endpoints; centralized service ensures consistent provider/environment validation before persistence.\nclass ValidationTaskService:\n\n def __init__(self, db: Session, config_manager=None, username: str | None = None):\n self.db = db\n self.config_manager = config_manager\n self.username = username or \"system\"\n\n # #region _validate_provider [C:2] [TYPE Function]\n # @RATIONALE Centralizes multimodal LLM provider check so all task operations (create, update, trigger) share the same validation gate. Uses LLMProviderService for reuse.\n # @REJECTED Duplicating multimodal check in each caller rejected — would create maintenance burden if provider validation rules change or error messages need updating.\n def _validate_provider(self, provider_id: str) -> LLMProvider:\n if not provider_id or not provider_id.strip():\n raise ValueError(\"provider_id is required\")\n svc = LLMProviderService(self.db)\n provider = svc.get_provider(provider_id)\n if not provider:\n raise ValueError(f\"LLM provider '{provider_id}' not found\")\n if not bool(provider.is_multimodal):\n raise ValueError(\n f\"LLM provider '{provider.name}' is not multimodal. \"\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n return provider\n\n # #endregion _validate_provider\n\n # #region _validate_environment [C:1] [TYPE Function]\n def _validate_environment(self, environment_id: str) -> None:\n if not self.config_manager:\n return\n env = self.config_manager.get_environment(environment_id)\n if not env:\n raise ValueError(f\"Environment '{environment_id}' not found\")\n\n # #endregion _validate_environment\n\n # #region _policy_to_response [C:2] [TYPE Function]\n def _policy_to_response(self, policy: ValidationPolicy) -> ValidationTaskResponse:\n last_run = None\n if policy.dashboard_ids:\n last_run = (\n self.db.query(ValidationRecord)\n .filter(\n ValidationRecord.dashboard_id.in_(policy.dashboard_ids),\n ValidationRecord.environment_id == policy.environment_id,\n )\n .order_by(ValidationRecord.timestamp.desc())\n .first()\n )\n return ValidationTaskResponse(\n id=policy.id,\n name=policy.name,\n environment_id=policy.environment_id,\n is_active=bool(policy.is_active) if policy.is_active is not None else True,\n dashboard_ids=list(policy.dashboard_ids) if policy.dashboard_ids else [],\n provider_id=policy.provider_id,\n schedule_days=list(policy.schedule_days) if policy.schedule_days else None,\n window_start=_format_time(policy.window_start),\n window_end=_format_time(policy.window_end),\n notify_owners=bool(policy.notify_owners) if policy.notify_owners is not None else True,\n custom_channels=list(policy.custom_channels) if policy.custom_channels else None,\n alert_condition=policy.alert_condition or \"FAIL_ONLY\",\n created_at=policy.created_at,\n updated_at=policy.updated_at,\n last_run_status=str(last_run.status) if last_run else None,\n last_run_at=last_run.timestamp if last_run else None,\n )\n\n # #endregion _policy_to_response\n\n # #region list_tasks [C:3] [TYPE Function]\n # @RATIONALE Uses query-time filtering with optional is_active/environment_id params rather than post-filtering results in memory, reducing overhead with large task counts.\n # @REJECTED In-memory filtering after loading all rows rejected — would be inefficient with hundreds of tasks; database-level filtering scales better.\n def list_tasks(\n self,\n is_active: bool | None = None,\n environment_id: str | None = None,\n page: int = 1,\n page_size: int = 20,\n ) -> tuple[int, list[ValidationTaskResponse]]:\n query = self.db.query(ValidationPolicy)\n if is_active is not None:\n query = query.filter(ValidationPolicy.is_active == is_active)\n if environment_id:\n query = query.filter(ValidationPolicy.environment_id == environment_id)\n\n total = query.count()\n policies = (\n query.order_by(ValidationPolicy.created_at.desc())\n .offset((page - 1) * page_size)\n .limit(page_size)\n .all()\n )\n return total, [self._policy_to_response(p) for p in policies]\n\n # #endregion list_tasks\n\n # #region create_task [C:4] [TYPE Function]\n # @RATIONALE Validates provider (multimodal check) and environment before persisting the policy, ensuring referential integrity at creation time and preventing silent runtime failures.\n # @REJECTED Lazy validation on first run rejected — would allow creation of invalid task configurations with non-multimodal providers that fail only at runtime during dashboard validation.\n def create_task(self, payload: ValidationTaskCreate) -> ValidationTaskResponse:\n self._validate_provider(payload.provider_id)\n self._validate_environment(payload.environment_id)\n\n ws = _parse_time(payload.window_start)\n we = _parse_time(payload.window_end)\n\n policy = ValidationPolicy(\n name=payload.name,\n environment_id=payload.environment_id,\n is_active=payload.is_active,\n dashboard_ids=payload.dashboard_ids or [],\n provider_id=payload.provider_id,\n schedule_days=payload.schedule_days or [],\n window_start=ws or time(9, 0),\n window_end=we or time(18, 0),\n notify_owners=payload.notify_owners,\n custom_channels=payload.custom_channels,\n alert_condition=payload.alert_condition or \"FAIL_ONLY\",\n )\n self.db.add(policy)\n self.db.commit()\n self.db.refresh(policy)\n logger.info(\n \"[ValidationTaskService] Created task '%s' (id=%s)\", policy.name, policy.id\n )\n return self._policy_to_response(policy)\n\n # #endregion create_task\n\n # #region get_task [C:3] [TYPE Function]\n # @RATIONALE Returns full task response including last_run_status via joined subquery — gives the UI immediate visibility into task health without a second API call.\n # @REJECTED Separate query for last run status rejected — double-query pattern would add latency on every task detail request.\n def get_task(self, task_id: str) -> ValidationTaskResponse:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n return self._policy_to_response(policy)\n\n # #endregion get_task\n\n # #region update_task [C:4] [TYPE Function]\n # @RATIONALE Re-validates provider/environment only when those fields change (via exclude_unset), avoiding unnecessary DB calls on partial updates and allowing other fields to be updated independently.\n # @REJECTED Full re-validation on every update rejected — would prevent updating non-critical fields (e.g., schedule, name) when a provider is temporarily unavailable.\n def update_task(self, task_id: str, payload: ValidationTaskUpdate) -> ValidationTaskResponse:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n\n update_data = payload.model_dump(exclude_unset=True)\n\n if \"provider_id\" in update_data and update_data[\"provider_id\"]:\n self._validate_provider(update_data[\"provider_id\"])\n if \"environment_id\" in update_data and update_data[\"environment_id\"]:\n self._validate_environment(update_data[\"environment_id\"])\n\n if \"window_start\" in update_data:\n ws = _parse_time(update_data.pop(\"window_start\", None))\n if ws is not None:\n policy.window_start = ws\n if \"window_end\" in update_data:\n we = _parse_time(update_data.pop(\"window_end\", None))\n if we is not None:\n policy.window_end = we\n\n for key, value in update_data.items():\n if hasattr(policy, key):\n setattr(policy, key, value)\n\n self.db.commit()\n self.db.refresh(policy)\n logger.info(\"[ValidationTaskService] Updated task '%s' (id=%s)\", policy.name, policy.id)\n return self._policy_to_response(policy)\n\n # #endregion update_task\n\n # #region delete_task [C:3] [TYPE Function]\n# @RATIONALE Scope run deletion by policy_id instead of dashboard_id+environment_id to prevent deleting runs belonging to other tasks that validate the same dashboard. Requires policy_id column on ValidationRecord, set by the plugin during execution.\n# @REJECTED Always-cascade delete rejected – would destroy run history unexpectedly. Scoping by dashboard_id+environment_id rejected – caused cross-task data loss (F4). Explicit delete_runs flag with policy_id scoping gives users safe control.\n\n def delete_task(self, task_id: str, delete_runs: bool = False) -> None:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n\n if delete_runs:\n self.db.query(ValidationRecord).filter(\n ValidationRecord.policy_id == policy.id,\n ).delete(synchronize_session=False)\n\n self.db.delete(policy)\n self.db.commit()\n logger.info(\n \"[ValidationTaskService] Deleted task '%s' (id=%s)\", policy.name, policy.id\n )\n\n # #endregion delete_task\n # #region trigger_run [C:4] [TYPE Function]\n # @RATIONALE Uses TaskManager.create_task() to spawn validation via the llm_dashboard_validation plugin — reuses existing scheduling, persistence, retry, and notification infrastructure.\n # @REJECTED Direct LLM provider call from service layer rejected — would bypass TaskManager's persistence, retry logic, logging pipeline, and WebSocket notifications.\n async def trigger_run(self, task_id: str, task_manager: TaskManager) -> str:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n if not policy.dashboard_ids:\n raise ValueError(f\"Validation task '{task_id}' has no dashboard IDs configured\")\n if policy.provider_id:\n self._validate_provider(policy.provider_id)\n\n dashboard_id = policy.dashboard_ids[0]\n params: dict[str, Any] = {\n \"dashboard_id\": dashboard_id,\n \"environment_id\": policy.environment_id,\n \"provider_id\": policy.provider_id or \"\",\n \"policy_id\": task_id,\n }\n task = await task_manager.create_task(plugin_id=\"llm_dashboard_validation\", params=params)\n logger.info(\n \"[ValidationTaskService] Triggered run for task '%s' dashboard=%s spawned=%s\",\n policy.name, dashboard_id, task.id,\n )\n return task.id\n\n # #endregion trigger_run\n\n# #endregion ValidationTaskService\n# #endregion ValidationService\n" + }, + { + "contract_id": "ValidationTaskService", + "contract_type": "Class", + "file_path": "backend/src/services/validation_service.py", + "start_line": 35, + "end_line": 264, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "PURPOSE": "Validation task (policy) CRUD with provider validation and trigger-run.", + "RATIONALE": "Service-layer class for validation task CRUD with provider validation and trigger-run. Separates API layer concerns from business logic; enables unit testing without HTTP.", + "REJECTED": "Embedding CRUD in route handlers rejected — would duplicate validation logic across endpoints; centralized service ensures consistent provider/environment validation before persistence." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "# #region ValidationTaskService [C:4] [TYPE Class]\n# @BRIEF Validation task (policy) CRUD with provider validation and trigger-run.\n# @RATIONALE Service-layer class for validation task CRUD with provider validation and trigger-run. Separates API layer concerns from business logic; enables unit testing without HTTP.\n# @REJECTED Embedding CRUD in route handlers rejected — would duplicate validation logic across endpoints; centralized service ensures consistent provider/environment validation before persistence.\nclass ValidationTaskService:\n\n def __init__(self, db: Session, config_manager=None, username: str | None = None):\n self.db = db\n self.config_manager = config_manager\n self.username = username or \"system\"\n\n # #region _validate_provider [C:2] [TYPE Function]\n # @RATIONALE Centralizes multimodal LLM provider check so all task operations (create, update, trigger) share the same validation gate. Uses LLMProviderService for reuse.\n # @REJECTED Duplicating multimodal check in each caller rejected — would create maintenance burden if provider validation rules change or error messages need updating.\n def _validate_provider(self, provider_id: str) -> LLMProvider:\n if not provider_id or not provider_id.strip():\n raise ValueError(\"provider_id is required\")\n svc = LLMProviderService(self.db)\n provider = svc.get_provider(provider_id)\n if not provider:\n raise ValueError(f\"LLM provider '{provider_id}' not found\")\n if not bool(provider.is_multimodal):\n raise ValueError(\n f\"LLM provider '{provider.name}' is not multimodal. \"\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n return provider\n\n # #endregion _validate_provider\n\n # #region _validate_environment [C:1] [TYPE Function]\n def _validate_environment(self, environment_id: str) -> None:\n if not self.config_manager:\n return\n env = self.config_manager.get_environment(environment_id)\n if not env:\n raise ValueError(f\"Environment '{environment_id}' not found\")\n\n # #endregion _validate_environment\n\n # #region _policy_to_response [C:2] [TYPE Function]\n def _policy_to_response(self, policy: ValidationPolicy) -> ValidationTaskResponse:\n last_run = None\n if policy.dashboard_ids:\n last_run = (\n self.db.query(ValidationRecord)\n .filter(\n ValidationRecord.dashboard_id.in_(policy.dashboard_ids),\n ValidationRecord.environment_id == policy.environment_id,\n )\n .order_by(ValidationRecord.timestamp.desc())\n .first()\n )\n return ValidationTaskResponse(\n id=policy.id,\n name=policy.name,\n environment_id=policy.environment_id,\n is_active=bool(policy.is_active) if policy.is_active is not None else True,\n dashboard_ids=list(policy.dashboard_ids) if policy.dashboard_ids else [],\n provider_id=policy.provider_id,\n schedule_days=list(policy.schedule_days) if policy.schedule_days else None,\n window_start=_format_time(policy.window_start),\n window_end=_format_time(policy.window_end),\n notify_owners=bool(policy.notify_owners) if policy.notify_owners is not None else True,\n custom_channels=list(policy.custom_channels) if policy.custom_channels else None,\n alert_condition=policy.alert_condition or \"FAIL_ONLY\",\n created_at=policy.created_at,\n updated_at=policy.updated_at,\n last_run_status=str(last_run.status) if last_run else None,\n last_run_at=last_run.timestamp if last_run else None,\n )\n\n # #endregion _policy_to_response\n\n # #region list_tasks [C:3] [TYPE Function]\n # @RATIONALE Uses query-time filtering with optional is_active/environment_id params rather than post-filtering results in memory, reducing overhead with large task counts.\n # @REJECTED In-memory filtering after loading all rows rejected — would be inefficient with hundreds of tasks; database-level filtering scales better.\n def list_tasks(\n self,\n is_active: bool | None = None,\n environment_id: str | None = None,\n page: int = 1,\n page_size: int = 20,\n ) -> tuple[int, list[ValidationTaskResponse]]:\n query = self.db.query(ValidationPolicy)\n if is_active is not None:\n query = query.filter(ValidationPolicy.is_active == is_active)\n if environment_id:\n query = query.filter(ValidationPolicy.environment_id == environment_id)\n\n total = query.count()\n policies = (\n query.order_by(ValidationPolicy.created_at.desc())\n .offset((page - 1) * page_size)\n .limit(page_size)\n .all()\n )\n return total, [self._policy_to_response(p) for p in policies]\n\n # #endregion list_tasks\n\n # #region create_task [C:4] [TYPE Function]\n # @RATIONALE Validates provider (multimodal check) and environment before persisting the policy, ensuring referential integrity at creation time and preventing silent runtime failures.\n # @REJECTED Lazy validation on first run rejected — would allow creation of invalid task configurations with non-multimodal providers that fail only at runtime during dashboard validation.\n def create_task(self, payload: ValidationTaskCreate) -> ValidationTaskResponse:\n self._validate_provider(payload.provider_id)\n self._validate_environment(payload.environment_id)\n\n ws = _parse_time(payload.window_start)\n we = _parse_time(payload.window_end)\n\n policy = ValidationPolicy(\n name=payload.name,\n environment_id=payload.environment_id,\n is_active=payload.is_active,\n dashboard_ids=payload.dashboard_ids or [],\n provider_id=payload.provider_id,\n schedule_days=payload.schedule_days or [],\n window_start=ws or time(9, 0),\n window_end=we or time(18, 0),\n notify_owners=payload.notify_owners,\n custom_channels=payload.custom_channels,\n alert_condition=payload.alert_condition or \"FAIL_ONLY\",\n )\n self.db.add(policy)\n self.db.commit()\n self.db.refresh(policy)\n logger.info(\n \"[ValidationTaskService] Created task '%s' (id=%s)\", policy.name, policy.id\n )\n return self._policy_to_response(policy)\n\n # #endregion create_task\n\n # #region get_task [C:3] [TYPE Function]\n # @RATIONALE Returns full task response including last_run_status via joined subquery — gives the UI immediate visibility into task health without a second API call.\n # @REJECTED Separate query for last run status rejected — double-query pattern would add latency on every task detail request.\n def get_task(self, task_id: str) -> ValidationTaskResponse:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n return self._policy_to_response(policy)\n\n # #endregion get_task\n\n # #region update_task [C:4] [TYPE Function]\n # @RATIONALE Re-validates provider/environment only when those fields change (via exclude_unset), avoiding unnecessary DB calls on partial updates and allowing other fields to be updated independently.\n # @REJECTED Full re-validation on every update rejected — would prevent updating non-critical fields (e.g., schedule, name) when a provider is temporarily unavailable.\n def update_task(self, task_id: str, payload: ValidationTaskUpdate) -> ValidationTaskResponse:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n\n update_data = payload.model_dump(exclude_unset=True)\n\n if \"provider_id\" in update_data and update_data[\"provider_id\"]:\n self._validate_provider(update_data[\"provider_id\"])\n if \"environment_id\" in update_data and update_data[\"environment_id\"]:\n self._validate_environment(update_data[\"environment_id\"])\n\n if \"window_start\" in update_data:\n ws = _parse_time(update_data.pop(\"window_start\", None))\n if ws is not None:\n policy.window_start = ws\n if \"window_end\" in update_data:\n we = _parse_time(update_data.pop(\"window_end\", None))\n if we is not None:\n policy.window_end = we\n\n for key, value in update_data.items():\n if hasattr(policy, key):\n setattr(policy, key, value)\n\n self.db.commit()\n self.db.refresh(policy)\n logger.info(\"[ValidationTaskService] Updated task '%s' (id=%s)\", policy.name, policy.id)\n return self._policy_to_response(policy)\n\n # #endregion update_task\n\n # #region delete_task [C:3] [TYPE Function]\n# @RATIONALE Scope run deletion by policy_id instead of dashboard_id+environment_id to prevent deleting runs belonging to other tasks that validate the same dashboard. Requires policy_id column on ValidationRecord, set by the plugin during execution.\n# @REJECTED Always-cascade delete rejected – would destroy run history unexpectedly. Scoping by dashboard_id+environment_id rejected – caused cross-task data loss (F4). Explicit delete_runs flag with policy_id scoping gives users safe control.\n\n def delete_task(self, task_id: str, delete_runs: bool = False) -> None:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n\n if delete_runs:\n self.db.query(ValidationRecord).filter(\n ValidationRecord.policy_id == policy.id,\n ).delete(synchronize_session=False)\n\n self.db.delete(policy)\n self.db.commit()\n logger.info(\n \"[ValidationTaskService] Deleted task '%s' (id=%s)\", policy.name, policy.id\n )\n\n # #endregion delete_task\n # #region trigger_run [C:4] [TYPE Function]\n # @RATIONALE Uses TaskManager.create_task() to spawn validation via the llm_dashboard_validation plugin — reuses existing scheduling, persistence, retry, and notification infrastructure.\n # @REJECTED Direct LLM provider call from service layer rejected — would bypass TaskManager's persistence, retry logic, logging pipeline, and WebSocket notifications.\n async def trigger_run(self, task_id: str, task_manager: TaskManager) -> str:\n policy = self.db.query(ValidationPolicy).filter(ValidationPolicy.id == task_id).first()\n if not policy:\n raise ValueError(f\"Validation task '{task_id}' not found\")\n if not policy.dashboard_ids:\n raise ValueError(f\"Validation task '{task_id}' has no dashboard IDs configured\")\n if policy.provider_id:\n self._validate_provider(policy.provider_id)\n\n dashboard_id = policy.dashboard_ids[0]\n params: dict[str, Any] = {\n \"dashboard_id\": dashboard_id,\n \"environment_id\": policy.environment_id,\n \"provider_id\": policy.provider_id or \"\",\n \"policy_id\": task_id,\n }\n task = await task_manager.create_task(plugin_id=\"llm_dashboard_validation\", params=params)\n logger.info(\n \"[ValidationTaskService] Triggered run for task '%s' dashboard=%s spawned=%s\",\n policy.name, dashboard_id, task.id,\n )\n return task.id\n\n # #endregion trigger_run\n\n# #endregion ValidationTaskService\n" + }, + { + "contract_id": "_validate_provider", + "contract_type": "Function", + "file_path": "backend/src/services/validation_service.py", + "start_line": 46, + "end_line": 63, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "RATIONALE": "Centralizes multimodal LLM provider check so all task operations (create, update, trigger) share the same validation gate. Uses LLMProviderService for reuse.", + "REJECTED": "Duplicating multimodal check in each caller rejected — would create maintenance burden if provider validation rules change or error messages need updating." + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region _validate_provider [C:2] [TYPE Function]\n # @RATIONALE Centralizes multimodal LLM provider check so all task operations (create, update, trigger) share the same validation gate. Uses LLMProviderService for reuse.\n # @REJECTED Duplicating multimodal check in each caller rejected — would create maintenance burden if provider validation rules change or error messages need updating.\n def _validate_provider(self, provider_id: str) -> LLMProvider:\n if not provider_id or not provider_id.strip():\n raise ValueError(\"provider_id is required\")\n svc = LLMProviderService(self.db)\n provider = svc.get_provider(provider_id)\n if not provider:\n raise ValueError(f\"LLM provider '{provider_id}' not found\")\n if not bool(provider.is_multimodal):\n raise ValueError(\n f\"LLM provider '{provider.name}' is not multimodal. \"\n \"Dashboard validation requires a multimodal model (image input support).\"\n )\n return provider\n\n # #endregion _validate_provider\n" + }, + { + "contract_id": "_validate_environment", + "contract_type": "Function", + "file_path": "backend/src/services/validation_service.py", + "start_line": 65, + "end_line": 73, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1 + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region _validate_environment [C:1] [TYPE Function]\n def _validate_environment(self, environment_id: str) -> None:\n if not self.config_manager:\n return\n env = self.config_manager.get_environment(environment_id)\n if not env:\n raise ValueError(f\"Environment '{environment_id}' not found\")\n\n # #endregion _validate_environment\n" + }, + { + "contract_id": "_policy_to_response", + "contract_type": "Function", + "file_path": "backend/src/services/validation_service.py", + "start_line": 75, + "end_line": 107, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2 + }, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": " # #region _policy_to_response [C:2] [TYPE Function]\n def _policy_to_response(self, policy: ValidationPolicy) -> ValidationTaskResponse:\n last_run = None\n if policy.dashboard_ids:\n last_run = (\n self.db.query(ValidationRecord)\n .filter(\n ValidationRecord.dashboard_id.in_(policy.dashboard_ids),\n ValidationRecord.environment_id == policy.environment_id,\n )\n .order_by(ValidationRecord.timestamp.desc())\n .first()\n )\n return ValidationTaskResponse(\n id=policy.id,\n name=policy.name,\n environment_id=policy.environment_id,\n is_active=bool(policy.is_active) if policy.is_active is not None else True,\n dashboard_ids=list(policy.dashboard_ids) if policy.dashboard_ids else [],\n provider_id=policy.provider_id,\n schedule_days=list(policy.schedule_days) if policy.schedule_days else None,\n window_start=_format_time(policy.window_start),\n window_end=_format_time(policy.window_end),\n notify_owners=bool(policy.notify_owners) if policy.notify_owners is not None else True,\n custom_channels=list(policy.custom_channels) if policy.custom_channels else None,\n alert_condition=policy.alert_condition or \"FAIL_ONLY\",\n created_at=policy.created_at,\n updated_at=policy.updated_at,\n last_run_status=str(last_run.status) if last_run else None,\n last_run_at=last_run.timestamp if last_run else None,\n )\n\n # #endregion _policy_to_response\n" + }, { "contract_id": "TestSessionConfig", "contract_type": "Module", @@ -50105,7 +51685,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "# #region TestSessionConfig [C:2] [TYPE Module] [SEMANTICS test, conftest, db]\n# @BRIEF Shared pytest fixtures and session configuration for backend tests.\n# @RELATION BINDS_TO -> [init_db]\n# @PRE All test modules use sys.path patching to import from src/.\n# @POST Database tables exist before test session executes.\n# @RATIONALE AUTH_SECRET_KEY/AUTH_DATABASE_URL/DATABASE_URL/DEV_MODE must be set before\n# any project import because src.core.auth.config creates an AuthConfig()\n# singleton at module level that crashes without these env vars (crash-early fix).\nimport os\nimport sys\nfrom pathlib import Path\n\n# Set env defaults for module-level AuthConfig() singleton — crash-early fix\nos.environ.setdefault(\"AUTH_SECRET_KEY\", \"test-secret-key-for-testing\")\nos.environ.setdefault(\"AUTH_DATABASE_URL\", \"sqlite:///:memory:test_auth\")\nos.environ.setdefault(\"DATABASE_URL\", \"sqlite:///:memory:test_main\")\nos.environ.setdefault(\"DEV_MODE\", \"true\")\n\nsys.path.insert(0, str(Path(__file__).parent.parent / \"src\"))\n\nimport pytest\n\n\n@pytest.fixture(scope=\"session\", autouse=True)\ndef ensure_db_tables():\n \"\"\"Ensure all tables exist before test session.\n\n This fixture runs once per test session, creating all registered\n SQLAlchemy tables. Individual test modules may also create their\n own in-memory engines — this guarantees the real engine schema\n is initialized for tests that depend on it.\n\n NOTE: src.core.database may fail to import due to a pydantic-settings v2\n compatibility issue with the deprecated Field(env=...) parameter in AuthConfig.\n Tests that need the database import it directly and manage the env themselves.\n \"\"\"\n try:\n from src.core.database import init_db\n init_db()\n except Exception:\n pass # Graceful degradation — tests requiring DB manage env themselves\n# #endregion TestSessionConfig\n" + "body": "# #region TestSessionConfig [C:2] [TYPE Module] [SEMANTICS test, conftest, db]\n# @BRIEF Shared pytest fixtures and session configuration for backend tests.\n# @RELATION BINDS_TO -> [init_db]\n# @PRE All test modules use sys.path patching to import from src/.\n# @POST Database tables exist before test session executes.\n# @RATIONALE AUTH_SECRET_KEY/AUTH_DATABASE_URL/DATABASE_URL/DEV_MODE must be set before\n# any project import because src.core.auth.config creates an AuthConfig()\n# singleton at module level that crashes without these env vars (crash-early fix).\nimport os\nimport sys\nfrom pathlib import Path\n\n# Set env defaults for module-level AuthConfig() singleton — crash-early fix\nos.environ.setdefault(\"SECRET_KEY\", \"test-secret-key-for-testing\")\nos.environ.setdefault(\"AUTH_DATABASE_URL\", \"sqlite:///:memory:test_auth\")\nos.environ.setdefault(\"DATABASE_URL\", \"sqlite:///:memory:test_main\")\nos.environ.setdefault(\"DEV_MODE\", \"true\")\n\nsys.path.insert(0, str(Path(__file__).parent.parent / \"src\"))\n\nimport pytest\n\n\n@pytest.fixture(scope=\"session\", autouse=True)\ndef ensure_db_tables():\n \"\"\"Ensure all tables exist before test session.\n\n This fixture runs once per test session, creating all registered\n SQLAlchemy tables. Individual test modules may also create their\n own in-memory engines — this guarantees the real engine schema\n is initialized for tests that depend on it.\n\n NOTE: src.core.database may fail to import due to a pydantic-settings v2\n compatibility issue with the deprecated Field(env=...) parameter in AuthConfig.\n Tests that need the database import it directly and manage the env themselves.\n \"\"\"\n try:\n from src.core.database import init_db\n init_db()\n except Exception:\n pass # Graceful degradation — tests requiring DB manage env themselves\n# #endregion TestSessionConfig\n" }, { "contract_id": "TestArchiveParser", @@ -62630,7 +64210,7 @@ "contract_type": "Component", "file_path": "frontend/src/components/Navbar.svelte", "start_line": 1, - "end_line": 90, + "end_line": 89, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -62716,7 +64296,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "\n\n\n\n\n\n
\n \n Superset Tools\n \n \n
\n\n" + "body": "\n\n\n\n\n\n
\n \n Superset Tools\n \n \n
\n\n" }, { "contract_id": "PasswordPrompt", @@ -65328,104 +66908,6 @@ "tier_source": "AutoCalculated", "body": "\n\n\n\n\n\n\n\n{#if !task}\n
\n {$t.tasks?.result_select_task}\n
\n{:else if !result}\n
\n

{$t.tasks?.result_not_structured}

\n
\n{:else if pluginId === 'llm_dashboard_validation'}\n
\n
\n

{$t.tasks?.result_llm_validation}

\n {result.status || 'UNKNOWN'}\n
\n

{result.summary || $t.tasks?.result_no_summary}

\n {#if result.issues?.length}\n
\n

{$t.tasks?.issues} ({result.issues.length})

\n
    \n {#each result.issues as issue}\n
  • \n
    \n {issue.severity}\n {issue.message}\n
    \n {#if issue.location}\n

    {$t.tasks?.location}: {issue.location}

    \n {/if}\n
    • \n {/each}\n
\n
\n {/if}\n
\n{:else if pluginId === 'superset-backup'}\n
\n
\n

{$t.tasks?.backup_result}

\n {result.status || 'UNKNOWN'}\n
\n
\n

{$t.dashboard?.environment}: {result.environment || $t.common?.not_available}

\n

{$t.tasks?.total}: {result.total_dashboards ?? 0}

\n

{$t.tasks?.successful}: {result.backed_up_dashboards ?? 0}

\n

{$t.tasks?.failed}: {result.failed_dashboards ?? 0}

\n
\n {#if result.failures?.length}\n
\n

{$t.tasks?.errors}

\n
    \n {#each result.failures as failure}\n
  • \n {failure.title || failure.id}: {failure.error}\n
    • \n {/each}\n
\n
\n {/if}\n
\n{:else if pluginId === 'superset-migration'}\n
\n
\n

{$t.tasks?.migration_result}

\n {result.status || 'UNKNOWN'}\n
\n
\n

{$t.migration?.source_env}: {result.source_environment || $t.common?.not_available}

\n

{$t.migration?.target_env}: {result.target_environment || $t.common?.not_available}

\n

{$t.tasks?.selected}: {result.selected_dashboards ?? 0}

\n

{$t.tasks?.successful}: {result.migrated_dashboards?.length ?? 0}

\n

{$t.tasks?.with_errors}: {result.failed_dashboards?.length ?? 0}

\n

{$t.tasks?.mappings}: {result.mapping_count ?? 0}

\n
\n {#if result.failed_dashboards?.length}\n
\n

{$t.tasks?.migration_errors}

\n
    \n {#each result.failed_dashboards as failed}\n
  • \n {failed.title || failed.id}: {failed.error}\n
    • \n {/each}\n
\n
\n {/if}\n
\n{:else}\n
\n 
{JSON.stringify(result, null, 2)}
\n
\n{/if}\n\n\n" }, - { - "contract_id": "ConnectionList", - "contract_type": "Component", - "file_path": "frontend/src/components/tools/ConnectionList.svelte", - "start_line": 1, - "end_line": 88, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "LAYER": "UI", - "PURPOSE": "UI component for listing and deleting saved database connection configurations.", - "SEMANTICS": [ - "connection", - "list", - "settings" - ] - }, - "relations": [ - { - "source_id": "ConnectionList", - "relation_type": "USES", - "target_id": "frontend/src/services/connectionService.js", - "target_ref": "frontend/src/services/connectionService.js" - } - ], - "schema_warnings": [ - { - "code": "tag_not_for_contract_type", - "tag": "LAYER", - "message": "@LAYER is not allowed for contract type 'Component'", - "detail": { - "actual_type": "Component", - "allowed_types": [ - "Module", - "Skill", - "Agent" - ] - } - }, - { - "code": "tag_forbidden_by_complexity", - "tag": "LAYER", - "message": "@LAYER is forbidden for contract type 'Component' at C3", - "detail": { - "actual_complexity": 3, - "contract_type": "Component" - } - }, - { - "code": "tag_not_for_contract_type", - "tag": "SEMANTICS", - "message": "@SEMANTICS is not allowed for contract type 'Component'", - "detail": { - "actual_type": "Component", - "allowed_types": [ - "Module", - "Function", - "Class", - "Block", - "Skill", - "Agent" - ] - } - }, - { - "code": "tag_forbidden_by_complexity", - "tag": "SEMANTICS", - "message": "@SEMANTICS is forbidden for contract type 'Component' at C3", - "detail": { - "actual_complexity": 3, - "contract_type": "Component" - } - } - ], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "\n\n\n\n\n\n\n\n \n\n\n\n" - }, - { - "contract_id": "fetchConnections:Function", - "contract_type": "Function", - "file_path": "frontend/src/components/tools/ConnectionList.svelte", - "start_line": 22, - "end_line": 36, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "POST": "connections array is populated.", - "PRE": "None.", - "PURPOSE": "Fetches the list of connections from the backend." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": " // #region fetchConnections:Function [TYPE Function]\n // @PURPOSE: Fetches the list of connections from the backend.\n // @PRE: None.\n // @POST: connections array is populated.\n async function fetchConnections() {\n isLoading = true;\n try {\n connections = await getConnections();\n } catch (e) {\n addToast($t.connections?.fetch_failed, 'error');\n } finally {\n isLoading = false;\n }\n }\n // #endregion fetchConnections:Function\n" - }, { "contract_id": "handleRunDebug:Function", "contract_type": "Function", @@ -65492,18 +66974,18 @@ "contract_type": "Component", "file_path": "frontend/src/components/tools/MapperTool.svelte", "start_line": 1, - "end_line": 252, + "end_line": 236, "tier": "TIER_2", "complexity": 3, "metadata": { "COMPLEXITY": 3, "LAYER": "UI", - "PURPOSE": "UI component for mapping dataset column verbose names using the MapperPlugin.", + "PURPOSE": "UI component for mapping dataset column verbose names using Superset SQL Lab or Excel files.", "SEMANTICS": [ "mapper", "tool", "dataset", - "postgresql", + "sqllab", "excel" ] }, @@ -65513,12 +66995,6 @@ "relation_type": "USES", "target_id": "frontend/src/services/toolsService.js", "target_ref": "frontend/src/services/toolsService.js" - }, - { - "source_id": "MapperTool", - "relation_type": "USES", - "target_id": "frontend/src/services/connectionService.js", - "target_ref": "frontend/src/services/connectionService.js" } ], "schema_warnings": [ @@ -65572,52 +67048,52 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "\n\n\n\n\n\n\n
\n \n
\n
\n
\n ({ value: e.id, label: e.name }))\n ]}\n />\n
\n
\n \n
\n
\n\n
\n {$t.mapper.source}\n
\n \n \n
\n
\n\n {#if source === 'postgres'}\n
\n
\n ({ value: c.id, label: c.name }))\n ]}\n />\n
\n
\n
\n \n
\n
\n \n
\n
\n
\n {:else}\n
\n \n
\n {/if}\n\n
\n \n {#if isGeneratingDocs}\n ↻ {$t.mapper?.generating}\n {:else}\n ✨ {$t.datasets?.generate_docs}\n {/if}\n \n \n {isRunning ? $t.mapper.starting : $t.mapper.run}\n \n
\n
\n \n\n generatedDoc = null}\n onSave={handleApplyDoc}\n />\n
\n\n\n" + "body": "\n\n\n\n\n\n\n
\n \n
\n
\n
\n ({ value: e.id, label: e.name }))\n ]}\n />\n
\n
\n \n
\n
\n\n
\n {$t.mapper.source}\n
\n \n \n
\n
\n\n {#if source === 'sqllab'}\n
\n
\n \n
\n
\n \n
\n
\n {:else}\n
\n \n
\n {/if}\n\n
\n \n {#if isGeneratingDocs}\n ↻ {$t.mapper?.generating}\n {:else}\n ✨ {$t.datasets?.generate_docs}\n {/if}\n \n \n {isRunning ? $t.mapper.starting : $t.mapper.run}\n \n
\n
\n \n\n generatedDoc = null}\n onSave={handleApplyDoc}\n />\n
\n\n\n" }, { "contract_id": "fetchData:Function", "contract_type": "Function", "file_path": "frontend/src/components/tools/MapperTool.svelte", - "start_line": 37, - "end_line": 49, + "start_line": 33, + "end_line": 44, "tier": "TIER_1", "complexity": 1, "metadata": { - "POST": "envs and connections arrays are populated.", + "POST": "envs array is populated.", "PRE": "None.", - "PURPOSE": "Fetches environments and saved connections." + "PURPOSE": "Fetches environments." }, "relations": [], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " // #region fetchData:Function [TYPE Function]\n // @PURPOSE: Fetches environments and saved connections.\n // @PRE: None.\n // @POST: envs and connections arrays are populated.\n async function fetchData() {\n try {\n envs = await api.fetchApi('/environments');\n connections = await getConnections();\n } catch (e) {\n addToast($t.mapper.errors.fetch_failed, 'error');\n }\n }\n // #endregion fetchData:Function\n" + "body": " // #region fetchData:Function [TYPE Function]\n // @PURPOSE: Fetches environments.\n // @PRE: None.\n // @POST: envs array is populated.\n async function fetchData() {\n try {\n envs = await api.fetchApi('/environments');\n } catch (e) {\n addToast($t.mapper.errors.fetch_failed, 'error');\n }\n }\n // #endregion fetchData:Function\n" }, { "contract_id": "handleRunMapper:Function", "contract_type": "Function", "file_path": "frontend/src/components/tools/MapperTool.svelte", - "start_line": 51, - "end_line": 92, + "start_line": 46, + "end_line": 86, "tier": "TIER_1", "complexity": 1, "metadata": { "POST": "Mapper task is started and selectedTask is updated.", "PRE": "selectedEnv and datasetId are set; source-specific fields are valid.", - "PURPOSE": "Triggers the MapperPlugin task." + "PURPOSE": "Triggers the MapperPlugin task via new sqllab/excel sources." }, "relations": [], "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": " // #region handleRunMapper:Function [TYPE Function]\n // @PURPOSE: Triggers the MapperPlugin task.\n // @PRE: selectedEnv and datasetId are set; source-specific fields are valid.\n // @POST: Mapper task is started and selectedTask is updated.\n async function handleRunMapper() {\n if (!selectedEnv || !datasetId) {\n addToast($t.mapper.errors.required_fields, 'warning');\n return;\n }\n\n if (source === 'postgres' && (!selectedConnection || !tableName)) {\n addToast($t.mapper.errors.postgres_required, 'warning');\n return;\n }\n\n if (source === 'excel' && !excelPath) {\n addToast($t.mapper.errors.excel_required, 'warning');\n return;\n }\n\n isRunning = true;\n try {\n const env = envs.find(e => e.id === selectedEnv);\n const task = await runTask('dataset-mapper', {\n env: env.name,\n dataset_id: parseInt(datasetId),\n source,\n connection_id: selectedConnection,\n table_name: tableName,\n table_schema: tableSchema,\n excel_path: excelPath\n });\n \n selectedTask.set(task);\n addToast($t.mapper.success.started, 'success');\n } catch (e) {\n addToast(e.message, 'error');\n } finally {\n isRunning = false;\n }\n }\n // #endregion handleRunMapper:Function\n" + "body": " // #region handleRunMapper:Function [TYPE Function]\n // @PURPOSE: Triggers the MapperPlugin task via new sqllab/excel sources.\n // @PRE: selectedEnv and datasetId are set; source-specific fields are valid.\n // @POST: Mapper task is started and selectedTask is updated.\n async function handleRunMapper() {\n if (!selectedEnv || !datasetId) {\n addToast($t.mapper.errors.required_fields, 'warning');\n return;\n }\n\n if (source === 'sqllab' && !databaseId) {\n addToast($t.mapper.errors.sqllab_required, 'warning');\n return;\n }\n\n if (source === 'excel' && !excelPath) {\n addToast($t.mapper.errors.excel_required, 'warning');\n return;\n }\n\n isRunning = true;\n try {\n const env = envs.find(e => e.id === selectedEnv);\n const task = await runTask('dataset-mapper', {\n env: env.name,\n dataset_id: parseInt(datasetId),\n source,\n database_id: databaseId ? parseInt(databaseId) : undefined,\n sql_query: sqlQuery || undefined,\n excel_path: excelPath\n });\n \n selectedTask.set(task);\n addToast($t.mapper.success.started, 'success');\n } catch (e) {\n addToast(e.message, 'error');\n } finally {\n isRunning = false;\n }\n }\n // #endregion handleRunMapper:Function\n" }, { "contract_id": "handleGenerateDocs:Function", "contract_type": "Function", "file_path": "frontend/src/components/tools/MapperTool.svelte", - "start_line": 94, - "end_line": 129, + "start_line": 88, + "end_line": 123, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -65679,7 +67155,7 @@ "contract_type": "Module", "file_path": "frontend/src/lib/api.js", "start_line": 1, - "end_line": 241, + "end_line": 242, "tier": "TIER_2", "complexity": 3, "metadata": { @@ -65724,7 +67200,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region ApiModule [C:3] [TYPE Module] [SEMANTICS api, client, fetch, auth, error-handling]\n// @BRIEF Handles all communication with the backend API via fetch wrappers with auth, error normalization, and toast feedback.\n// @RELATION DEPENDS_ON -> [ToastsModule]\n// @RELATION CALLED_BY -> [TranslateApi]\nimport { addToast } from './toasts.js';\nimport { PUBLIC_WS_URL } from '$env/static/public';\n\nconst API_BASE_URL = '/api';\n\nasync function buildApiError(response) {\n const errorData = await response.json().catch(() => ({}));\n const detail = errorData?.detail;\n const message = detail\n ? (typeof detail === 'string' ? detail : (typeof detail?.message === 'string' ? detail.message : JSON.stringify(detail)))\n : `API request failed with status ${response.status}`;\n const error = new Error(message);\n /** @type {any} */ (error).status = response.status;\n /** @type {any} */ (error).detail = detail;\n if (detail && typeof detail === 'object' && detail.error_code) {\n /** @type {any} */ (error).error_code = String(detail.error_code);\n }\n return error;\n}\n\nfunction notifyApiError(error) {\n if (error?.status === 401) { addToast(`401 Unauthorized: ${error.message}`, 'error'); return; }\n if (error?.status >= 500) { addToast(`Server error (${error.status}): ${error.message}`, 'error'); return; }\n addToast(error.message, 'error');\n}\n\nfunction shouldSuppressApiErrorToast(endpoint, error) {\n const isGitStatusEndpoint = typeof endpoint === 'string' && endpoint.startsWith('/git/repositories/') && endpoint.endsWith('/status');\n const isNoRepoError = (error?.status === 400 || error?.status === 404) && /Repository for dashboard .* not found/i.test(String(error?.message || ''));\n const isGitPullEndpoint = typeof endpoint === 'string' && endpoint.startsWith('/git/repositories/') && endpoint.endsWith('/pull');\n const isUnfinishedMergeError = error?.status === 409 && (String(error?.error_code || '') === 'GIT_UNFINISHED_MERGE' || String(error?.detail?.error_code || '') === 'GIT_UNFINISHED_MERGE');\n const isDatasetClarificationEndpoint = typeof endpoint === 'string' && /\\/dataset-orchestration\\/sessions\\/[^/]+\\/clarification$/.test(endpoint);\n const isMissingClarificationSession = error?.status === 404 && /Clarification session not found/i.test(String(error?.message || ''));\n return (isGitStatusEndpoint && isNoRepoError) || (isGitPullEndpoint && isUnfinishedMergeError) || (isDatasetClarificationEndpoint && isMissingClarificationSession);\n}\n\nexport const getWsUrl = (taskId) => {\n let baseUrl = PUBLIC_WS_URL;\n if (!baseUrl) {\n const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';\n baseUrl = `${protocol}//${window.location.host}`;\n }\n return `${baseUrl}/ws/logs/${taskId}`;\n};\n\nfunction getAuthHeaders(extraHeaders = {}) {\n const headers = { 'Content-Type': 'application/json', ...extraHeaders };\n if (typeof window !== 'undefined') {\n const token = localStorage.getItem('auth_token');\n if (token) headers['Authorization'] = `Bearer ${token}`;\n }\n return headers;\n}\n\nasync function fetchApi(endpoint, options = {}) {\n try {\n console.log(`[api.fetchApi][Action] Fetching from endpoint=${endpoint}`);\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { headers: getAuthHeaders(options.headers || {}) });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.fetchApi][Coherence:Failed] ${endpoint}:`, error);\n if (!options.suppressToast) notifyApiError(error);\n throw error;\n }\n}\n\nasync function fetchApiBlob(endpoint, options = {}) {\n const notifyError = options.notifyError !== false;\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { headers: getAuthHeaders(options.headers || {}) });\n if (response.status === 202) {\n const payload = await response.json().catch(() => ({ message: \"Resource is being prepared\" }));\n const error = new Error(payload?.message || \"Resource is being prepared\");\n /** @type {any} */ (error).status = 202;\n throw error;\n }\n if (!response.ok) throw await buildApiError(response);\n return await response.blob();\n } catch (error) {\n if (notifyError) notifyApiError(error);\n throw error;\n }\n}\n\nasync function postApi(endpoint, body, options = {}) {\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, {\n method: 'POST', headers: getAuthHeaders(options.headers || {}), body: JSON.stringify(body),\n });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.postApi][Coherence:Failed] ${endpoint}:`, error);\n if (!options.suppressToast) notifyApiError(error);\n throw error;\n }\n}\n\nasync function deleteApi(endpoint, options = {}) {\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { method: 'DELETE', headers: getAuthHeaders(options.headers || {}) });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.deleteApi][Coherence:Failed] ${endpoint}:`, error);\n notifyApiError(error);\n throw error;\n }\n}\n\nasync function requestApi(endpoint, method = 'GET', body = null, requestOptions = {}) {\n try {\n const fetchOptions = { method, headers: getAuthHeaders(requestOptions.headers || {}) };\n if (body) fetchOptions.body = JSON.stringify(body);\n const response = await fetch(`${API_BASE_URL}${endpoint}`, fetchOptions);\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.requestApi][Coherence:Failed] ${method} ${endpoint}:`, error);\n if (!shouldSuppressApiErrorToast(endpoint, error)) notifyApiError(error);\n throw error;\n }\n}\n\nexport const api = {\n fetchApi, postApi, deleteApi, requestApi,\n getPlugins: () => fetchApi('/plugins'),\n getTasks: (options = {}) => {\n const params = new URLSearchParams();\n if (options.limit != null) params.append('limit', String(options.limit));\n if (options.offset != null) params.append('offset', String(options.offset));\n if (options.status) params.append('status', options.status);\n if (options.task_type) params.append('task_type', options.task_type);\n if (options.completed_only != null) params.append('completed_only', String(Boolean(options.completed_only)));\n if (Array.isArray(options.plugin_id)) options.plugin_id.forEach((pid) => params.append('plugin_id', pid));\n const query = params.toString();\n return fetchApi(`/tasks${query ? `?${query}` : ''}`);\n },\n getTask: (taskId) => fetchApi(`/tasks/${taskId}`),\n getTaskLogs: (taskId, options = {}) => {\n const params = new URLSearchParams();\n if (options.level) params.append('level', options.level);\n if (options.source) params.append('source', options.source);\n if (options.search) params.append('search', options.search);\n if (options.offset != null) params.append('offset', String(options.offset));\n if (options.limit != null) params.append('limit', String(options.limit));\n return fetchApi(`/tasks/${taskId}/logs${params.toString() ? `?${params.toString()}` : ''}`);\n },\n createTask: (pluginId, params) => postApi('/tasks', { plugin_id: pluginId, params }),\n getProfilePreferences: () => fetchApi('/profile/preferences'),\n updateProfilePreferences: (payload) => requestApi('/profile/preferences', 'PATCH', payload),\n lookupSupersetAccounts: (environmentId, options = {}) => {\n const eid = String(environmentId || '').trim();\n if (!eid) throw new Error('environmentId is required for Superset account lookup');\n const params = new URLSearchParams({ environment_id: eid });\n if (options.search) params.append('search', options.search);\n if (options.page_index != null) params.append('page_index', String(options.page_index));\n if (options.page_size != null) params.append('page_size', String(options.page_size));\n if (options.sort_column) params.append('sort_column', options.sort_column);\n if (options.sort_order) params.append('sort_order', options.sort_order);\n return fetchApi(`/profile/superset-accounts?${params.toString()}`);\n },\n getSettings: () => fetchApi('/settings'),\n updateGlobalSettings: (s) => requestApi('/settings/global', 'PATCH', s),\n getEnvironments: () => fetchApi('/settings/environments'),\n addEnvironment: (env) => postApi('/settings/environments', env),\n updateEnvironment: (id, env) => requestApi(`/settings/environments/${id}`, 'PUT', env),\n deleteEnvironment: (id) => requestApi(`/settings/environments/${id}`, 'DELETE'),\n testEnvironmentConnection: (id) => postApi(`/settings/environments/${id}/test`, {}),\n updateEnvironmentSchedule: (id, s) => requestApi(`/environments/${id}/schedule`, 'PUT', s),\n getStorageSettings: () => fetchApi('/settings/storage'),\n updateStorageSettings: (s) => requestApi('/settings/storage', 'PUT', s),\n getEnvironmentsList: () => fetchApi('/environments'),\n getLlmStatus: () => fetchApi('/llm/status'),\n fetchLlmModels: (p) => postApi('/llm/providers/fetch-models', p),\n getEnvironmentDatabases: (id) => fetchApi(`/environments/${id}/databases`),\n getStorageFileBlob: (path) => fetchApiBlob(`/storage/file?path=${encodeURIComponent(path)}`),\n getDashboards: (envId, options = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (options.search) params.append('search', options.search);\n if (options.page) params.append('page', options.page);\n if (options.page_size) params.append('page_size', options.page_size);\n if (options.page_context) params.append('page_context', options.page_context);\n if (options.apply_profile_default != null) params.append('apply_profile_default', String(Boolean(options.apply_profile_default)));\n if (options.override_show_all != null) params.append('override_show_all', String(Boolean(options.override_show_all)));\n if (options.filters?.title) for (const v of options.filters.title) params.append('filter_title', v);\n if (options.filters?.git_status) for (const v of options.filters.git_status) params.append('filter_git_status', v);\n if (options.filters?.llm_status) for (const v of options.filters.llm_status) params.append('filter_llm_status', v);\n if (options.filters?.changed_on) for (const v of options.filters.changed_on) params.append('filter_changed_on', v);\n if (options.filters?.actor) for (const v of options.filters.actor) params.append('filter_actor', v);\n return fetchApi(`/dashboards?${params.toString()}`);\n },\n getDashboardDetail: (envId, ref) => fetchApi(`/dashboards/${encodeURIComponent(String(ref))}?env_id=${envId}`),\n getDashboardTaskHistory: (envId, ref, opts = {}) => {\n const params = new URLSearchParams();\n if (envId) params.append('env_id', envId);\n if (opts.limit) params.append('limit', opts.limit);\n return fetchApi(`/dashboards/${encodeURIComponent(String(ref))}/tasks?${params.toString()}`);\n },\n getDashboardThumbnail: (envId, ref, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.force != null) params.append('force', String(Boolean(opts.force)));\n return fetchApiBlob(`/dashboards/${encodeURIComponent(String(ref))}/thumbnail?${params.toString()}`, { notifyError: false });\n },\n getDatabaseMappings: (src, tgt) => fetchApi(`/dashboards/db-mappings?source_env_id=${src}&target_env_id=${tgt}`),\n calculateMigrationDryRun: (p) => postApi('/migration/dry-run', p),\n getDatasets: (envId, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.search) params.append('search', opts.search);\n if (opts.page) params.append('page', opts.page);\n if (opts.page_size) params.append('page_size', opts.page_size);\n return fetchApi(`/datasets?${params.toString()}`);\n },\n getDatasetIds: (envId, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.search) params.append('search', opts.search);\n return fetchApi(`/datasets/ids?${params.toString()}`);\n },\n getDatasetDetail: (envId, datasetId) => fetchApi(`/datasets/${datasetId}?env_id=${envId}`),\n getConsolidatedSettings: () => fetchApi('/settings/consolidated'),\n updateConsolidatedSettings: (s) => requestApi('/settings/consolidated', 'PATCH', s),\n getValidationPolicies: () => fetchApi('/settings/automation/policies'),\n createValidationPolicy: (p) => postApi('/settings/automation/policies', p),\n updateValidationPolicy: (id, p) => requestApi(`/settings/automation/policies/${id}`, 'PATCH', p),\n deleteValidationPolicy: (id) => requestApi(`/settings/automation/policies/${id}`, 'DELETE'),\n getTranslationSchedules: () => fetchApi('/settings/automation/translation-schedules'),\n getHealthSummary: (environmentId) => {\n const query = environmentId ? `?env_id=${encodeURIComponent(environmentId)}` : '';\n return fetchApi(`/health/summary${query}`, { suppressToast: true });\n },\n};\n// #endregion ApiModule\n" + "body": "// #region ApiModule [C:3] [TYPE Module] [SEMANTICS api, client, fetch, auth, error-handling]\n// @BRIEF Handles all communication with the backend API via fetch wrappers with auth, error normalization, and toast feedback.\n// @RELATION DEPENDS_ON -> [ToastsModule]\n// @RELATION CALLED_BY -> [TranslateApi]\nimport { addToast } from './toasts.js';\nimport { PUBLIC_WS_URL } from '$env/static/public';\n\nconst API_BASE_URL = '/api';\n\nasync function buildApiError(response) {\n const errorData = await response.json().catch(() => ({}));\n const detail = errorData?.detail;\n const message = detail\n ? (typeof detail === 'string' ? detail : (typeof detail?.message === 'string' ? detail.message : JSON.stringify(detail)))\n : `API request failed with status ${response.status}`;\n const error = new Error(message);\n /** @type {any} */ (error).status = response.status;\n /** @type {any} */ (error).detail = detail;\n if (detail && typeof detail === 'object' && detail.error_code) {\n /** @type {any} */ (error).error_code = String(detail.error_code);\n }\n return error;\n}\n\nfunction notifyApiError(error) {\n if (error?.status === 401) { addToast(`401 Unauthorized: ${error.message}`, 'error'); return; }\n if (error?.status >= 500) { addToast(`Server error (${error.status}): ${error.message}`, 'error'); return; }\n addToast(error.message, 'error');\n}\n\nfunction shouldSuppressApiErrorToast(endpoint, error) {\n const isGitStatusEndpoint = typeof endpoint === 'string' && endpoint.startsWith('/git/repositories/') && endpoint.endsWith('/status');\n const isNoRepoError = (error?.status === 400 || error?.status === 404) && /Repository for dashboard .* not found/i.test(String(error?.message || ''));\n const isGitPullEndpoint = typeof endpoint === 'string' && endpoint.startsWith('/git/repositories/') && endpoint.endsWith('/pull');\n const isUnfinishedMergeError = error?.status === 409 && (String(error?.error_code || '') === 'GIT_UNFINISHED_MERGE' || String(error?.detail?.error_code || '') === 'GIT_UNFINISHED_MERGE');\n const isDatasetClarificationEndpoint = typeof endpoint === 'string' && /\\/dataset-orchestration\\/sessions\\/[^/]+\\/clarification$/.test(endpoint);\n const isMissingClarificationSession = error?.status === 404 && /Clarification session not found/i.test(String(error?.message || ''));\n return (isGitStatusEndpoint && isNoRepoError) || (isGitPullEndpoint && isUnfinishedMergeError) || (isDatasetClarificationEndpoint && isMissingClarificationSession);\n}\n\nexport const getWsUrl = (taskId) => {\n let baseUrl = PUBLIC_WS_URL;\n if (!baseUrl) {\n const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';\n baseUrl = `${protocol}//${window.location.host}`;\n }\n return `${baseUrl}/ws/logs/${taskId}`;\n};\n\nfunction getAuthHeaders(extraHeaders = {}) {\n const headers = { 'Content-Type': 'application/json', ...extraHeaders };\n if (typeof window !== 'undefined') {\n const token = localStorage.getItem('auth_token');\n if (token) headers['Authorization'] = `Bearer ${token}`;\n }\n return headers;\n}\n\nasync function fetchApi(endpoint, options = {}) {\n try {\n console.log(`[api.fetchApi][Action] Fetching from endpoint=${endpoint}`);\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { headers: getAuthHeaders(options.headers || {}) });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.fetchApi][Coherence:Failed] ${endpoint}:`, error);\n if (!options.suppressToast) notifyApiError(error);\n throw error;\n }\n}\n\nasync function fetchApiBlob(endpoint, options = {}) {\n const notifyError = options.notifyError !== false;\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { headers: getAuthHeaders(options.headers || {}) });\n if (response.status === 202) {\n const payload = await response.json().catch(() => ({ message: \"Resource is being prepared\" }));\n const error = new Error(payload?.message || \"Resource is being prepared\");\n /** @type {any} */ (error).status = 202;\n throw error;\n }\n if (!response.ok) throw await buildApiError(response);\n return await response.blob();\n } catch (error) {\n if (notifyError) notifyApiError(error);\n throw error;\n }\n}\n\nasync function postApi(endpoint, body, options = {}) {\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, {\n method: 'POST', headers: getAuthHeaders(options.headers || {}), body: JSON.stringify(body),\n });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.postApi][Coherence:Failed] ${endpoint}:`, error);\n if (!options.suppressToast) notifyApiError(error);\n throw error;\n }\n}\n\nasync function deleteApi(endpoint, options = {}) {\n try {\n const response = await fetch(`${API_BASE_URL}${endpoint}`, { method: 'DELETE', headers: getAuthHeaders(options.headers || {}) });\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.deleteApi][Coherence:Failed] ${endpoint}:`, error);\n notifyApiError(error);\n throw error;\n }\n}\n\nasync function requestApi(endpoint, method = 'GET', body = null, requestOptions = {}) {\n try {\n const fetchOptions = { method, headers: getAuthHeaders(requestOptions.headers || {}) };\n if (body) fetchOptions.body = JSON.stringify(body);\n const response = await fetch(`${API_BASE_URL}${endpoint}`, fetchOptions);\n if (!response.ok) throw await buildApiError(response);\n if (response.status === 204) return null;\n return await response.json();\n } catch (error) {\n console.error(`[api.requestApi][Coherence:Failed] ${method} ${endpoint}:`, error);\n if (!shouldSuppressApiErrorToast(endpoint, error)) notifyApiError(error);\n throw error;\n }\n}\n\nexport const api = {\n fetchApi, postApi, deleteApi, requestApi,\n getPlugins: () => fetchApi('/plugins'),\n getTasks: (options = {}) => {\n const params = new URLSearchParams();\n if (options.limit != null) params.append('limit', String(options.limit));\n if (options.offset != null) params.append('offset', String(options.offset));\n if (options.status) params.append('status', options.status);\n if (options.task_type) params.append('task_type', options.task_type);\n if (options.completed_only != null) params.append('completed_only', String(Boolean(options.completed_only)));\n if (Array.isArray(options.plugin_id)) options.plugin_id.forEach((pid) => params.append('plugin_id', pid));\n const query = params.toString();\n return fetchApi(`/tasks${query ? `?${query}` : ''}`);\n },\n getTask: (taskId) => fetchApi(`/tasks/${taskId}`),\n getTaskLogs: (taskId, options = {}) => {\n const params = new URLSearchParams();\n if (options.level) params.append('level', options.level);\n if (options.source) params.append('source', options.source);\n if (options.search) params.append('search', options.search);\n if (options.offset != null) params.append('offset', String(options.offset));\n if (options.limit != null) params.append('limit', String(options.limit));\n return fetchApi(`/tasks/${taskId}/logs${params.toString() ? `?${params.toString()}` : ''}`);\n },\n createTask: (pluginId, params) => postApi('/tasks', { plugin_id: pluginId, params }),\n getProfilePreferences: () => fetchApi('/profile/preferences'),\n updateProfilePreferences: (payload) => requestApi('/profile/preferences', 'PATCH', payload),\n lookupSupersetAccounts: (environmentId, options = {}) => {\n const eid = String(environmentId || '').trim();\n if (!eid) throw new Error('environmentId is required for Superset account lookup');\n const params = new URLSearchParams({ environment_id: eid });\n if (options.search) params.append('search', options.search);\n if (options.page_index != null) params.append('page_index', String(options.page_index));\n if (options.page_size != null) params.append('page_size', String(options.page_size));\n if (options.sort_column) params.append('sort_column', options.sort_column);\n if (options.sort_order) params.append('sort_order', options.sort_order);\n return fetchApi(`/profile/superset-accounts?${params.toString()}`);\n },\n getSettings: () => fetchApi('/settings'),\n updateGlobalSettings: (s) => requestApi('/settings/global', 'PATCH', s),\n getEnvironments: () => fetchApi('/settings/environments'),\n addEnvironment: (env) => postApi('/settings/environments', env),\n updateEnvironment: (id, env) => requestApi(`/settings/environments/${id}`, 'PUT', env),\n deleteEnvironment: (id) => requestApi(`/settings/environments/${id}`, 'DELETE'),\n testEnvironmentConnection: (id) => postApi(`/settings/environments/${id}/test`, {}),\n updateEnvironmentSchedule: (id, s) => requestApi(`/environments/${id}/schedule`, 'PUT', s),\n getStorageSettings: () => fetchApi('/settings/storage'),\n updateStorageSettings: (s) => requestApi('/settings/storage', 'PUT', s),\n getEnvironmentsList: () => fetchApi('/environments'),\n getLlmStatus: () => fetchApi('/llm/status'),\n fetchLlmModels: (p) => postApi('/llm/providers/fetch-models', p),\n getEnvironmentDatabases: (id) => fetchApi(`/environments/${id}/databases`),\n getStorageFileBlob: (path) => fetchApiBlob(`/storage/file?path=${encodeURIComponent(path)}`),\n getDashboards: (envId, options = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (options.search) params.append('search', options.search);\n if (options.page) params.append('page', options.page);\n if (options.page_size) params.append('page_size', options.page_size);\n if (options.page_context) params.append('page_context', options.page_context);\n if (options.apply_profile_default != null) params.append('apply_profile_default', String(Boolean(options.apply_profile_default)));\n if (options.override_show_all != null) params.append('override_show_all', String(Boolean(options.override_show_all)));\n if (options.filters?.title) for (const v of options.filters.title) params.append('filter_title', v);\n if (options.filters?.git_status) for (const v of options.filters.git_status) params.append('filter_git_status', v);\n if (options.filters?.llm_status) for (const v of options.filters.llm_status) params.append('filter_llm_status', v);\n if (options.filters?.changed_on) for (const v of options.filters.changed_on) params.append('filter_changed_on', v);\n if (options.filters?.actor) for (const v of options.filters.actor) params.append('filter_actor', v);\n return fetchApi(`/dashboards?${params.toString()}`);\n },\n getDashboardDetail: (envId, ref) => fetchApi(`/dashboards/${encodeURIComponent(String(ref))}?env_id=${envId}`),\n getDashboardTaskHistory: (envId, ref, opts = {}) => {\n const params = new URLSearchParams();\n if (envId) params.append('env_id', envId);\n if (opts.limit) params.append('limit', opts.limit);\n return fetchApi(`/dashboards/${encodeURIComponent(String(ref))}/tasks?${params.toString()}`);\n },\n getDashboardThumbnail: (envId, ref, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.force != null) params.append('force', String(Boolean(opts.force)));\n return fetchApiBlob(`/dashboards/${encodeURIComponent(String(ref))}/thumbnail?${params.toString()}`, { notifyError: false });\n },\n getDatabaseMappings: (src, tgt) => fetchApi(`/dashboards/db-mappings?source_env_id=${src}&target_env_id=${tgt}`),\n calculateMigrationDryRun: (p) => postApi('/migration/dry-run', p),\n getDatasets: (envId, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.search) params.append('search', opts.search);\n if (opts.filter) params.append('filter', opts.filter);\n if (opts.page) params.append('page', opts.page);\n if (opts.page_size) params.append('page_size', opts.page_size);\n return fetchApi(`/datasets?${params.toString()}`);\n },\n getDatasetIds: (envId, opts = {}) => {\n const params = new URLSearchParams({ env_id: envId });\n if (opts.search) params.append('search', opts.search);\n return fetchApi(`/datasets/ids?${params.toString()}`);\n },\n getDatasetDetail: (envId, datasetId) => fetchApi(`/datasets/${datasetId}?env_id=${envId}`),\n getConsolidatedSettings: () => fetchApi('/settings/consolidated'),\n updateConsolidatedSettings: (s) => requestApi('/settings/consolidated', 'PATCH', s),\n getValidationPolicies: () => fetchApi('/settings/automation/policies'),\n createValidationPolicy: (p) => postApi('/settings/automation/policies', p),\n updateValidationPolicy: (id, p) => requestApi(`/settings/automation/policies/${id}`, 'PATCH', p),\n deleteValidationPolicy: (id) => requestApi(`/settings/automation/policies/${id}`, 'DELETE'),\n getTranslationSchedules: () => fetchApi('/settings/automation/translation-schedules'),\n getHealthSummary: (environmentId) => {\n const query = environmentId ? `?env_id=${encodeURIComponent(environmentId)}` : '';\n return fetchApi(`/health/summary${query}`, { suppressToast: true });\n },\n};\n// #endregion ApiModule\n" }, { "contract_id": "ReportsApiTest", @@ -66888,6 +68364,461 @@ "tier_source": "AutoCalculated", "body": "/**\n * Check target table schema — validate expected vs actual columns for translation inserts.\n * @param {{\n * environment_id: string,\n * target_database_id: string,\n * target_schema: string,\n * target_table: string,\n * target_key_cols: string[],\n * target_column: string|null,\n * translation_column: string|null,\n * target_language_column: string|null,\n * target_source_column: string|null,\n * target_source_language_column: string|null,\n * }} payload\n * @returns {Promise<{\n * table_exists: boolean,\n * error: string|null,\n * expected_columns: Array<{name: string, data_type: string|null, is_nullable: boolean}>,\n * actual_columns: Array<{name: string, data_type: string|null, is_nullable: boolean}>,\n * missing_columns: Array<{name: string, data_type: string|null, is_nullable: boolean}>,\n * extra_columns: Array<{name: string, data_type: string|null, is_nullable: boolean}>,\n * all_present: boolean,\n * }>}\n */" }, + { + "contract_id": "ValidationApi", + "contract_type": "Module", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 1, + "end_line": 102, + "tier": "TIER_1", + "complexity": 2, + "metadata": { + "COMPLEXITY": 2, + "PURPOSE": "API client functions for the Validation section — tasks and runs CRUD.", + "RATIONALE": "Centralized API module for all validation endpoints — single import point for pages, consistent error handling through shared fetchApi/postApi/deleteApi wrappers, and easy mocking in tests.", + "REJECTED": "Inline fetch calls in each page rejected — would duplicate base URL construction and auth header logic; centralized module enables consistent error handling and simplifies test mocking." + }, + "relations": [ + { + "source_id": "ValidationApi", + "relation_type": "CALLED_BY", + "target_id": "ValidationTaskList", + "target_ref": "[ValidationTaskList]" + }, + { + "source_id": "ValidationApi", + "relation_type": "CALLED_BY", + "target_id": "ValidationTaskConfig", + "target_ref": "[ValidationTaskConfig]" + }, + { + "source_id": "ValidationApi", + "relation_type": "CALLED_BY", + "target_id": "ValidationHistory", + "target_ref": "[ValidationHistory]" + } + ], + "schema_warnings": [], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region ValidationApi [C:2] [TYPE Module] [SEMANTICS validation, api]\n// @BRIEF API client functions for the Validation section — tasks and runs CRUD.\n// @RATIONALE Centralized API module for all validation endpoints — single import point for pages, consistent error handling through shared fetchApi/postApi/deleteApi wrappers, and easy mocking in tests.\n// @REJECTED Inline fetch calls in each page rejected — would duplicate base URL construction and auth header logic; centralized module enables consistent error handling and simplifies test mocking.\n// @RELATION CALLED_BY -> [ValidationTaskList]\n// @RELATION CALLED_BY -> [ValidationTaskConfig]\n// @RELATION CALLED_BY -> [ValidationHistory]\n\nimport { fetchApi, postApi, requestApi, deleteApi } from '$lib/api.js';\n\n// #region buildParams:Function [C:1] [TYPE Function]\n// @BRIEF Build URLSearchParams from a params object, skipping null/undefined/empty values.\n/** @param {Record} params */\nfunction buildParams(params) {\n\tconst qs = new URLSearchParams();\n\tfor (const [key, value] of Object.entries(params)) {\n\t\tif (value !== undefined && value !== null && value !== '') {\n\t\t\tqs.append(key, String(value));\n\t\t}\n\t}\n\treturn qs.toString();\n}\n// #endregion buildParams:Function\n\n// ── Tasks ──────────────────────────────────────────────────────\n\n// #region fetchTasks:Function [C:1] [TYPE Function]\n/** @param {{ is_active?: boolean, environment_id?: string, page?: number, page_size?: number }} [params] */\nexport async function fetchTasks(params = {}) {\n\tconst qs = buildParams(params);\n\treturn fetchApi(`/validation/tasks${qs ? `?${qs}` : ''}`);\n}\n// #endregion fetchTasks:Function\n\n// #region createTask:Function [C:1] [TYPE Function]\n/** @param {Record} data */\nexport async function createTask(data) {\n\treturn postApi('/validation/tasks', data);\n}\n// #endregion createTask:Function\n\n// #region fetchTask:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function fetchTask(id) {\n\treturn fetchApi(`/validation/tasks/${id}`);\n}\n// #endregion fetchTask:Function\n\n// #region updateTask:Function [C:1] [TYPE Function]\n/** @param {string} id @param {Record} data */\nexport async function updateTask(id, data) {\n\treturn requestApi(`/validation/tasks/${id}`, 'PUT', data);\n}\n// #endregion updateTask:Function\n\n// #region deleteTask:Function [C:1] [TYPE Function]\n/** @param {string} id @param {boolean} [deleteRuns] */\nexport async function deleteTask(id, deleteRuns = false) {\n\tconst qs = deleteRuns ? '?delete_runs=true' : '';\n\treturn deleteApi(`/validation/tasks/${id}${qs}`);\n}\n// #endregion deleteTask:Function\n\n// #region triggerRun:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function triggerRun(id) {\n\treturn postApi(`/validation/tasks/${id}/run`, {});\n}\n// #endregion triggerRun:Function\n\n// #region duplicateTask:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function duplicateTask(id) {\n\treturn postApi(`/validation/tasks/${id}/duplicate`, {});\n}\n// #endregion duplicateTask:Function\n\n// ── Runs ────────────────────────────────────────────────────────\n\n// #region fetchRuns:Function [C:1] [TYPE Function]\n/** @param {{ task_id?: string, dashboard_id?: string, environment_id?: string, status?: string, date_from?: string, date_to?: string, page?: number, page_size?: number }} [params] */\nexport async function fetchRuns(params = {}) {\n\tconst qs = buildParams(params);\n\treturn fetchApi(`/validation/runs${qs ? `?${qs}` : ''}`);\n}\n// #endregion fetchRuns:Function\n\n// #region fetchRunDetail:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function fetchRunDetail(id) {\n\treturn fetchApi(`/validation/runs/${id}`);\n}\n// #endregion fetchRunDetail:Function\n\n// #region deleteRun:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function deleteRun(id) {\n\treturn deleteApi(`/validation/runs/${id}`);\n}\n// #endregion deleteRun:Function\n\n// #endregion ValidationApi\n" + }, + { + "contract_id": "buildParams:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 11, + "end_line": 23, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{Record} params", + "PURPOSE": "Build URLSearchParams from a params object, skipping null/undefined/empty values." + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region buildParams:Function [C:1] [TYPE Function]\n// @BRIEF Build URLSearchParams from a params object, skipping null/undefined/empty values.\n/** @param {Record} params */\nfunction buildParams(params) {\n\tconst qs = new URLSearchParams();\n\tfor (const [key, value] of Object.entries(params)) {\n\t\tif (value !== undefined && value !== null && value !== '') {\n\t\t\tqs.append(key, String(value));\n\t\t}\n\t}\n\treturn qs.toString();\n}\n// #endregion buildParams:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::buildParams", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 13, + "end_line": 14, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {Record} params */" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::fetchTasks", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 28, + "end_line": 29, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {{ is_active?: boolean, environment_id?: string, page?: number, page_size?: number }} [params] */" + }, + { + "contract_id": "createTask:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 35, + "end_line": 40, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{Record} data" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region createTask:Function [C:1] [TYPE Function]\n/** @param {Record} data */\nexport async function createTask(data) {\n\treturn postApi('/validation/tasks', data);\n}\n// #endregion createTask:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::createTask", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 36, + "end_line": 37, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {Record} data */" + }, + { + "contract_id": "fetchTask:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 42, + "end_line": 47, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region fetchTask:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function fetchTask(id) {\n\treturn fetchApi(`/validation/tasks/${id}`);\n}\n// #endregion fetchTask:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::fetchTask", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 43, + "end_line": 44, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id */" + }, + { + "contract_id": "updateTask:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 49, + "end_line": 54, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id @param {Record} data" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region updateTask:Function [C:1] [TYPE Function]\n/** @param {string} id @param {Record} data */\nexport async function updateTask(id, data) {\n\treturn requestApi(`/validation/tasks/${id}`, 'PUT', data);\n}\n// #endregion updateTask:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::updateTask", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 50, + "end_line": 51, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id @param {Record} data */" + }, + { + "contract_id": "deleteTask:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 56, + "end_line": 62, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id @param {boolean} [deleteRuns]" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region deleteTask:Function [C:1] [TYPE Function]\n/** @param {string} id @param {boolean} [deleteRuns] */\nexport async function deleteTask(id, deleteRuns = false) {\n\tconst qs = deleteRuns ? '?delete_runs=true' : '';\n\treturn deleteApi(`/validation/tasks/${id}${qs}`);\n}\n// #endregion deleteTask:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::deleteTask", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 57, + "end_line": 58, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id @param {boolean} [deleteRuns] */" + }, + { + "contract_id": "triggerRun:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 64, + "end_line": 69, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region triggerRun:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function triggerRun(id) {\n\treturn postApi(`/validation/tasks/${id}/run`, {});\n}\n// #endregion triggerRun:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::triggerRun", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 65, + "end_line": 66, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id */" + }, + { + "contract_id": "duplicateTask:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 71, + "end_line": 76, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region duplicateTask:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function duplicateTask(id) {\n\treturn postApi(`/validation/tasks/${id}/duplicate`, {});\n}\n// #endregion duplicateTask:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::duplicateTask", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 72, + "end_line": 73, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id */" + }, + { + "contract_id": "fetchRuns:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 80, + "end_line": 86, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{{ task_id?: string, dashboard_id?: string, environment_id?: string, status?: string, date_from?: string, date_to?: string, page?: number, page_size?: number }} [params]" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region fetchRuns:Function [C:1] [TYPE Function]\n/** @param {{ task_id?: string, dashboard_id?: string, environment_id?: string, status?: string, date_from?: string, date_to?: string, page?: number, page_size?: number }} [params] */\nexport async function fetchRuns(params = {}) {\n\tconst qs = buildParams(params);\n\treturn fetchApi(`/validation/runs${qs ? `?${qs}` : ''}`);\n}\n// #endregion fetchRuns:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::fetchRuns", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 81, + "end_line": 82, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {{ task_id?: string, dashboard_id?: string, environment_id?: string, status?: string, date_from?: string, date_to?: string, page?: number, page_size?: number }} [params] */" + }, + { + "contract_id": "fetchRunDetail:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 88, + "end_line": 93, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region fetchRunDetail:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function fetchRunDetail(id) {\n\treturn fetchApi(`/validation/runs/${id}`);\n}\n// #endregion fetchRunDetail:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::fetchRunDetail", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 89, + "end_line": 90, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id */" + }, + { + "contract_id": "deleteRun:Function", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 95, + "end_line": 100, + "tier": "TIER_1", + "complexity": 1, + "metadata": { + "COMPLEXITY": 1, + "PARAM": "{string} id" + }, + "relations": [], + "schema_warnings": [ + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "// #region deleteRun:Function [C:1] [TYPE Function]\n/** @param {string} id */\nexport async function deleteRun(id) {\n\treturn deleteApi(`/validation/runs/${id}`);\n}\n// #endregion deleteRun:Function\n" + }, + { + "contract_id": "frontend/src/lib/api/validation.js::deleteRun", + "contract_type": "Function", + "file_path": "frontend/src/lib/api/validation.js", + "start_line": 96, + "end_line": 97, + "tier": "TIER_1", + "complexity": 1, + "metadata": {}, + "relations": [], + "schema_warnings": [], + "anchor_syntax": "jsdoc", + "tier_source": "AutoCalculated", + "body": "/** @param {string} id */" + }, { "contract_id": "PermissionsTest", "contract_type": "Module", @@ -69615,7 +71546,7 @@ "contract_type": "Function", "file_path": "frontend/src/lib/components/layout/sidebarNavigation.js", "start_line": 1, - "end_line": 204, + "end_line": 217, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -69670,7 +71601,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region SidebarNavigation:Module [TYPE Function]\n// @SEMANTICS: navigation, sidebar, rbac, menu, filtering\n// @PURPOSE: Build sidebar navigation sections and categories filtered by user permissions and feature flags.\n// @LAYER: UI\n// @RELATION: DEPENDS_ON -> [Permissions]\n// @RELATION: BINDS_TO -> [Sidebar]\n// @INVARIANT: Admin role can access all categories and subitems through permission utility.\n\nimport { hasPermission } from \"$lib/auth/permissions.js\";\n\n// #region isItemAllowed:Function [TYPE Function]\n// @PURPOSE: Check whether a single menu node can be shown for a given user.\n// @PRE: item can contain optional requiredPermission/requiredAction.\n// @POST: Returns true when no permission is required or permission check passes.\nfunction isItemAllowed(user, item) {\n if (!item?.requiredPermission) return true;\n return hasPermission(\n user,\n item.requiredPermission,\n item.requiredAction || \"READ\",\n );\n}\n// #endregion isItemAllowed:Function\n\n// #region isFeatureEnabled:Function [TYPE Function]\nfunction isFeatureEnabled(item, features) {\n if (!item?.requiredFeature) return true;\n return features[item.requiredFeature] !== false;\n}\n// #endregion isFeatureEnabled:Function\n\n// #region buildSidebarSections:Function [TYPE Function]\n// @PURPOSE: Build translated sidebar sections with categories, filtered by RBAC permissions and feature flags.\n// @PRE: i18nState provides nav labels; user can be null; features default to {} (all enabled).\n// @POST: Returns only sections/categories/subitems available for provided user and enabled features.\nexport function buildSidebarSections(i18nState, user, features = {}) {\n const nav = i18nState?.nav || {};\n\n // ── Section 1: Resources ─────────────────────────────────\n const resources = {\n id: \"resources\",\n label: nav.section_resources,\n categories: [\n {\n id: \"dashboards\",\n label: nav.dashboards,\n icon: \"dashboard\",\n tone: \"from-sky-100 to-sky-200 text-sky-700 ring-sky-200\",\n path: \"/dashboards\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.overview, path: \"/dashboards\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.health_center, path: \"/dashboards/health\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"health_monitor\" },\n ],\n },\n {\n id: \"datasets\",\n label: nav.datasets,\n icon: \"database\",\n tone: \"from-emerald-100 to-emerald-200 text-emerald-700 ring-emerald-200\",\n path: \"/datasets\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_datasets, path: \"/datasets\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.dataset_review_workspace, path: \"/datasets/review\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"dataset_review\" },\n ],\n },\n {\n id: \"migration\",\n label: nav.migration,\n icon: \"layers\",\n tone: \"from-orange-100 to-orange-200 text-orange-700 ring-orange-200\",\n path: \"/migration\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.migration_overview || \"Overview\", path: \"/migration\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.migration_mappings || \"Mappings\", path: \"/migration/mappings\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 2: Operations ────────────────────────────────\n const operations = {\n id: \"operations\",\n label: nav.section_operations,\n categories: [\n {\n id: \"git\",\n label: nav.git,\n icon: \"activity\",\n tone: \"from-purple-100 to-purple-200 text-purple-700 ring-purple-200\",\n path: \"/git\",\n subItems: [\n { label: nav.git_repo_status || \"Repository Status\", path: \"/git\" },\n ],\n },\n {\n id: \"translation\",\n label: nav.translation,\n icon: \"translate\",\n tone: \"from-cyan-100 to-teal-100 text-teal-700 ring-teal-200\",\n path: \"/translate\",\n requiredPermission: \"translate.job\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.translation_jobs, path: \"/translate\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n { label: nav.translation_dictionaries, path: \"/translate/dictionaries\", requiredPermission: \"translate.dictionary\", requiredAction: \"VIEW\" },\n { label: nav.translation_history, path: \"/translate/history\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"reports\",\n label: nav.reports,\n icon: \"reports\",\n tone: \"from-violet-100 to-fuchsia-100 text-violet-700 ring-violet-200\",\n path: \"/reports\",\n requiredPermission: \"tasks\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_reports || \"All Reports\", path: \"/reports\", requiredPermission: \"tasks\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 3: System ────────────────────────────────────\n const system = {\n id: \"system\",\n label: nav.section_system,\n categories: [\n {\n id: \"tools\",\n label: nav.tools,\n icon: \"list\",\n tone: \"from-slate-100 to-slate-200 text-slate-700 ring-slate-200\",\n path: \"/tools/mapper\",\n subItems: [\n { label: nav.tools_mapper, path: \"/tools/mapper\" },\n { label: nav.tools_debug, path: \"/tools/debug\" },\n { label: nav.tools_storage, path: \"/tools/storage\" },\n { label: nav.tools_backups, path: \"/tools/backups\" },\n ],\n },\n {\n id: \"storage\",\n label: nav.storage,\n icon: \"storage\",\n tone: \"from-amber-100 to-amber-200 text-amber-800 ring-amber-200\",\n path: \"/storage\",\n requiredPermission: \"plugin:storage\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.repositories, path: \"/storage/repos\", requiredPermission: \"plugin:storage\", requiredAction: \"READ\" },\n ],\n },\n {\n id: \"admin\",\n label: nav.admin,\n icon: \"admin\",\n tone: \"from-rose-100 to-rose-200 text-rose-700 ring-rose-200\",\n path: \"/admin/users\",\n subItems: [\n { label: nav.admin_users, path: \"/admin/users\", requiredPermission: \"admin:users\", requiredAction: \"READ\" },\n { label: nav.admin_roles, path: \"/admin/roles\", requiredPermission: \"admin:roles\", requiredAction: \"READ\" },\n { label: nav.admin_settings, path: \"/admin/settings\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n { label: nav.admin_llm, path: \"/admin/settings/llm\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n const allSections = [resources, operations, system];\n\n // Filter by permissions and features\n return allSections\n .map((section) => ({\n ...section,\n categories: section.categories\n .map((category) => {\n const visibleSubItems = (category.subItems || []).filter(\n (sub) => isItemAllowed(user, sub) && isFeatureEnabled(sub, features),\n );\n return { ...category, subItems: visibleSubItems };\n })\n .filter((category) => {\n if (!isItemAllowed(user, category)) return false;\n return Array.isArray(category.subItems) && category.subItems.length > 0;\n }),\n }))\n .filter((section) => section.categories.length > 0);\n}\n// #endregion buildSidebarSections:Function\n\n// ── Legacy adapter for backward compatibility ──────────────\n// @DEPRECATED Use buildSidebarSections instead. Returns flat category list for old consumers.\nexport function buildSidebarCategories(i18nState, user, features = {}) {\n const sections = buildSidebarSections(i18nState, user, features);\n return sections.flatMap((s) => s.categories);\n}\n// #endregion SidebarNavigation:Module\n" + "body": "// #region SidebarNavigation:Module [TYPE Function]\n// @SEMANTICS: navigation, sidebar, rbac, menu, filtering\n// @PURPOSE: Build sidebar navigation sections and categories filtered by user permissions and feature flags.\n// @LAYER: UI\n// @RELATION: DEPENDS_ON -> [Permissions]\n// @RELATION: BINDS_TO -> [Sidebar]\n// @INVARIANT: Admin role can access all categories and subitems through permission utility.\n\nimport { hasPermission } from \"$lib/auth/permissions.js\";\n\n// #region isItemAllowed:Function [TYPE Function]\n// @PURPOSE: Check whether a single menu node can be shown for a given user.\n// @PRE: item can contain optional requiredPermission/requiredAction.\n// @POST: Returns true when no permission is required or permission check passes.\nfunction isItemAllowed(user, item) {\n if (!item?.requiredPermission) return true;\n return hasPermission(\n user,\n item.requiredPermission,\n item.requiredAction || \"READ\",\n );\n}\n// #endregion isItemAllowed:Function\n\n// #region isFeatureEnabled:Function [TYPE Function]\nfunction isFeatureEnabled(item, features) {\n if (!item?.requiredFeature) return true;\n return features[item.requiredFeature] !== false;\n}\n// #endregion isFeatureEnabled:Function\n\n// #region buildSidebarSections:Function [TYPE Function]\n// @PURPOSE: Build translated sidebar sections with categories, filtered by RBAC permissions and feature flags.\n// @PRE: i18nState provides nav labels; user can be null; features default to {} (all enabled).\n// @POST: Returns only sections/categories/subitems available for provided user and enabled features.\nexport function buildSidebarSections(i18nState, user, features = {}) {\n const nav = i18nState?.nav || {};\n\n // ── Section 1: Resources ─────────────────────────────────\n const resources = {\n id: \"resources\",\n label: nav.section_resources,\n categories: [\n {\n id: \"dashboards\",\n label: nav.dashboards,\n icon: \"dashboard\",\n tone: \"from-sky-100 to-sky-200 text-sky-700 ring-sky-200\",\n path: \"/dashboards\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.overview, path: \"/dashboards\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.health_center, path: \"/dashboards/health\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"health_monitor\" },\n ],\n },\n {\n id: \"datasets\",\n label: nav.datasets,\n icon: \"database\",\n tone: \"from-emerald-100 to-emerald-200 text-emerald-700 ring-emerald-200\",\n path: \"/datasets\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_datasets, path: \"/datasets\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.dataset_review_workspace, path: \"/datasets/review\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"dataset_review\" },\n ],\n },\n {\n id: \"migration\",\n label: nav.migration,\n icon: \"layers\",\n tone: \"from-orange-100 to-orange-200 text-orange-700 ring-orange-200\",\n path: \"/migration\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.migration_overview || \"Overview\", path: \"/migration\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.migration_mappings || \"Mappings\", path: \"/migration/mappings\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 2: Operations ────────────────────────────────\n const operations = {\n id: \"operations\",\n label: nav.section_operations,\n categories: [\n {\n id: \"git\",\n label: nav.git,\n icon: \"activity\",\n tone: \"from-purple-100 to-purple-200 text-purple-700 ring-purple-200\",\n path: \"/git\",\n subItems: [\n { label: nav.git_repo_status || \"Repository Status\", path: \"/git\" },\n ],\n },\n {\n id: \"translation\",\n label: nav.translation,\n icon: \"translate\",\n tone: \"from-cyan-100 to-teal-100 text-teal-700 ring-teal-200\",\n path: \"/translate\",\n requiredPermission: \"translate.job\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.translation_jobs, path: \"/translate\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n { label: nav.translation_dictionaries, path: \"/translate/dictionaries\", requiredPermission: \"translate.dictionary\", requiredAction: \"VIEW\" },\n { label: nav.translation_history, path: \"/translate/history\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"validation\",\n label: nav.validation,\n icon: \"activity\",\n tone: \"from-amber-100 to-yellow-100 text-amber-700 ring-amber-200\",\n path: \"/validation\",\n requiredPermission: \"validation.task\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.validation_tasks, path: \"/validation\", requiredPermission: \"validation.task\", requiredAction: \"VIEW\" },\n { label: nav.validation_history, path: \"/validation/history\", requiredPermission: \"validation.run\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"reports\",\n label: nav.reports,\n icon: \"reports\",\n tone: \"from-violet-100 to-fuchsia-100 text-violet-700 ring-violet-200\",\n path: \"/reports\",\n requiredPermission: \"tasks\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_reports || \"All Reports\", path: \"/reports\", requiredPermission: \"tasks\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 3: System ────────────────────────────────────\n const system = {\n id: \"system\",\n label: nav.section_system,\n categories: [\n {\n id: \"tools\",\n label: nav.tools,\n icon: \"list\",\n tone: \"from-slate-100 to-slate-200 text-slate-700 ring-slate-200\",\n path: \"/tools/mapper\",\n subItems: [\n { label: nav.tools_mapper, path: \"/tools/mapper\" },\n { label: nav.tools_debug, path: \"/tools/debug\" },\n { label: nav.tools_storage, path: \"/tools/storage\" },\n { label: nav.tools_backups, path: \"/tools/backups\" },\n ],\n },\n {\n id: \"storage\",\n label: nav.storage,\n icon: \"storage\",\n tone: \"from-amber-100 to-amber-200 text-amber-800 ring-amber-200\",\n path: \"/storage\",\n requiredPermission: \"plugin:storage\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.repositories, path: \"/storage/repos\", requiredPermission: \"plugin:storage\", requiredAction: \"READ\" },\n ],\n },\n {\n id: \"admin\",\n label: nav.admin,\n icon: \"admin\",\n tone: \"from-rose-100 to-rose-200 text-rose-700 ring-rose-200\",\n path: \"/admin/users\",\n subItems: [\n { label: nav.admin_users, path: \"/admin/users\", requiredPermission: \"admin:users\", requiredAction: \"READ\" },\n { label: nav.admin_roles, path: \"/admin/roles\", requiredPermission: \"admin:roles\", requiredAction: \"READ\" },\n { label: nav.admin_settings, path: \"/admin/settings\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n { label: nav.admin_llm, path: \"/admin/settings/llm\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n const allSections = [resources, operations, system];\n\n // Filter by permissions and features\n return allSections\n .map((section) => ({\n ...section,\n categories: section.categories\n .map((category) => {\n const visibleSubItems = (category.subItems || []).filter(\n (sub) => isItemAllowed(user, sub) && isFeatureEnabled(sub, features),\n );\n return { ...category, subItems: visibleSubItems };\n })\n .filter((category) => {\n if (!isItemAllowed(user, category)) return false;\n return Array.isArray(category.subItems) && category.subItems.length > 0;\n }),\n }))\n .filter((section) => section.categories.length > 0);\n}\n// #endregion buildSidebarSections:Function\n\n// ── Legacy adapter for backward compatibility ──────────────\n// @DEPRECATED Use buildSidebarSections instead. Returns flat category list for old consumers.\nexport function buildSidebarCategories(i18nState, user, features = {}) {\n const sections = buildSidebarSections(i18nState, user, features);\n return sections.flatMap((s) => s.categories);\n}\n// #endregion SidebarNavigation:Module\n" }, { "contract_id": "isItemAllowed:Function", @@ -69711,7 +71642,7 @@ "contract_type": "Function", "file_path": "frontend/src/lib/components/layout/sidebarNavigation.js", "start_line": 32, - "end_line": 196, + "end_line": 209, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -69723,7 +71654,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region buildSidebarSections:Function [TYPE Function]\n// @PURPOSE: Build translated sidebar sections with categories, filtered by RBAC permissions and feature flags.\n// @PRE: i18nState provides nav labels; user can be null; features default to {} (all enabled).\n// @POST: Returns only sections/categories/subitems available for provided user and enabled features.\nexport function buildSidebarSections(i18nState, user, features = {}) {\n const nav = i18nState?.nav || {};\n\n // ── Section 1: Resources ─────────────────────────────────\n const resources = {\n id: \"resources\",\n label: nav.section_resources,\n categories: [\n {\n id: \"dashboards\",\n label: nav.dashboards,\n icon: \"dashboard\",\n tone: \"from-sky-100 to-sky-200 text-sky-700 ring-sky-200\",\n path: \"/dashboards\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.overview, path: \"/dashboards\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.health_center, path: \"/dashboards/health\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"health_monitor\" },\n ],\n },\n {\n id: \"datasets\",\n label: nav.datasets,\n icon: \"database\",\n tone: \"from-emerald-100 to-emerald-200 text-emerald-700 ring-emerald-200\",\n path: \"/datasets\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_datasets, path: \"/datasets\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.dataset_review_workspace, path: \"/datasets/review\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"dataset_review\" },\n ],\n },\n {\n id: \"migration\",\n label: nav.migration,\n icon: \"layers\",\n tone: \"from-orange-100 to-orange-200 text-orange-700 ring-orange-200\",\n path: \"/migration\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.migration_overview || \"Overview\", path: \"/migration\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.migration_mappings || \"Mappings\", path: \"/migration/mappings\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 2: Operations ────────────────────────────────\n const operations = {\n id: \"operations\",\n label: nav.section_operations,\n categories: [\n {\n id: \"git\",\n label: nav.git,\n icon: \"activity\",\n tone: \"from-purple-100 to-purple-200 text-purple-700 ring-purple-200\",\n path: \"/git\",\n subItems: [\n { label: nav.git_repo_status || \"Repository Status\", path: \"/git\" },\n ],\n },\n {\n id: \"translation\",\n label: nav.translation,\n icon: \"translate\",\n tone: \"from-cyan-100 to-teal-100 text-teal-700 ring-teal-200\",\n path: \"/translate\",\n requiredPermission: \"translate.job\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.translation_jobs, path: \"/translate\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n { label: nav.translation_dictionaries, path: \"/translate/dictionaries\", requiredPermission: \"translate.dictionary\", requiredAction: \"VIEW\" },\n { label: nav.translation_history, path: \"/translate/history\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"reports\",\n label: nav.reports,\n icon: \"reports\",\n tone: \"from-violet-100 to-fuchsia-100 text-violet-700 ring-violet-200\",\n path: \"/reports\",\n requiredPermission: \"tasks\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_reports || \"All Reports\", path: \"/reports\", requiredPermission: \"tasks\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 3: System ────────────────────────────────────\n const system = {\n id: \"system\",\n label: nav.section_system,\n categories: [\n {\n id: \"tools\",\n label: nav.tools,\n icon: \"list\",\n tone: \"from-slate-100 to-slate-200 text-slate-700 ring-slate-200\",\n path: \"/tools/mapper\",\n subItems: [\n { label: nav.tools_mapper, path: \"/tools/mapper\" },\n { label: nav.tools_debug, path: \"/tools/debug\" },\n { label: nav.tools_storage, path: \"/tools/storage\" },\n { label: nav.tools_backups, path: \"/tools/backups\" },\n ],\n },\n {\n id: \"storage\",\n label: nav.storage,\n icon: \"storage\",\n tone: \"from-amber-100 to-amber-200 text-amber-800 ring-amber-200\",\n path: \"/storage\",\n requiredPermission: \"plugin:storage\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.repositories, path: \"/storage/repos\", requiredPermission: \"plugin:storage\", requiredAction: \"READ\" },\n ],\n },\n {\n id: \"admin\",\n label: nav.admin,\n icon: \"admin\",\n tone: \"from-rose-100 to-rose-200 text-rose-700 ring-rose-200\",\n path: \"/admin/users\",\n subItems: [\n { label: nav.admin_users, path: \"/admin/users\", requiredPermission: \"admin:users\", requiredAction: \"READ\" },\n { label: nav.admin_roles, path: \"/admin/roles\", requiredPermission: \"admin:roles\", requiredAction: \"READ\" },\n { label: nav.admin_settings, path: \"/admin/settings\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n { label: nav.admin_llm, path: \"/admin/settings/llm\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n const allSections = [resources, operations, system];\n\n // Filter by permissions and features\n return allSections\n .map((section) => ({\n ...section,\n categories: section.categories\n .map((category) => {\n const visibleSubItems = (category.subItems || []).filter(\n (sub) => isItemAllowed(user, sub) && isFeatureEnabled(sub, features),\n );\n return { ...category, subItems: visibleSubItems };\n })\n .filter((category) => {\n if (!isItemAllowed(user, category)) return false;\n return Array.isArray(category.subItems) && category.subItems.length > 0;\n }),\n }))\n .filter((section) => section.categories.length > 0);\n}\n// #endregion buildSidebarSections:Function\n" + "body": "// #region buildSidebarSections:Function [TYPE Function]\n// @PURPOSE: Build translated sidebar sections with categories, filtered by RBAC permissions and feature flags.\n// @PRE: i18nState provides nav labels; user can be null; features default to {} (all enabled).\n// @POST: Returns only sections/categories/subitems available for provided user and enabled features.\nexport function buildSidebarSections(i18nState, user, features = {}) {\n const nav = i18nState?.nav || {};\n\n // ── Section 1: Resources ─────────────────────────────────\n const resources = {\n id: \"resources\",\n label: nav.section_resources,\n categories: [\n {\n id: \"dashboards\",\n label: nav.dashboards,\n icon: \"dashboard\",\n tone: \"from-sky-100 to-sky-200 text-sky-700 ring-sky-200\",\n path: \"/dashboards\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.overview, path: \"/dashboards\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.health_center, path: \"/dashboards/health\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"health_monitor\" },\n ],\n },\n {\n id: \"datasets\",\n label: nav.datasets,\n icon: \"database\",\n tone: \"from-emerald-100 to-emerald-200 text-emerald-700 ring-emerald-200\",\n path: \"/datasets\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_datasets, path: \"/datasets\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.dataset_review_workspace, path: \"/datasets/review\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\", requiredFeature: \"dataset_review\" },\n ],\n },\n {\n id: \"migration\",\n label: nav.migration,\n icon: \"layers\",\n tone: \"from-orange-100 to-orange-200 text-orange-700 ring-orange-200\",\n path: \"/migration\",\n requiredPermission: \"plugin:migration\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.migration_overview || \"Overview\", path: \"/migration\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n { label: nav.migration_mappings || \"Mappings\", path: \"/migration/mappings\", requiredPermission: \"plugin:migration\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 2: Operations ────────────────────────────────\n const operations = {\n id: \"operations\",\n label: nav.section_operations,\n categories: [\n {\n id: \"git\",\n label: nav.git,\n icon: \"activity\",\n tone: \"from-purple-100 to-purple-200 text-purple-700 ring-purple-200\",\n path: \"/git\",\n subItems: [\n { label: nav.git_repo_status || \"Repository Status\", path: \"/git\" },\n ],\n },\n {\n id: \"translation\",\n label: nav.translation,\n icon: \"translate\",\n tone: \"from-cyan-100 to-teal-100 text-teal-700 ring-teal-200\",\n path: \"/translate\",\n requiredPermission: \"translate.job\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.translation_jobs, path: \"/translate\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n { label: nav.translation_dictionaries, path: \"/translate/dictionaries\", requiredPermission: \"translate.dictionary\", requiredAction: \"VIEW\" },\n { label: nav.translation_history, path: \"/translate/history\", requiredPermission: \"translate.job\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"validation\",\n label: nav.validation,\n icon: \"activity\",\n tone: \"from-amber-100 to-yellow-100 text-amber-700 ring-amber-200\",\n path: \"/validation\",\n requiredPermission: \"validation.task\",\n requiredAction: \"VIEW\",\n subItems: [\n { label: nav.validation_tasks, path: \"/validation\", requiredPermission: \"validation.task\", requiredAction: \"VIEW\" },\n { label: nav.validation_history, path: \"/validation/history\", requiredPermission: \"validation.run\", requiredAction: \"VIEW\" },\n ],\n },\n {\n id: \"reports\",\n label: nav.reports,\n icon: \"reports\",\n tone: \"from-violet-100 to-fuchsia-100 text-violet-700 ring-violet-200\",\n path: \"/reports\",\n requiredPermission: \"tasks\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.all_reports || \"All Reports\", path: \"/reports\", requiredPermission: \"tasks\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n // ── Section 3: System ────────────────────────────────────\n const system = {\n id: \"system\",\n label: nav.section_system,\n categories: [\n {\n id: \"tools\",\n label: nav.tools,\n icon: \"list\",\n tone: \"from-slate-100 to-slate-200 text-slate-700 ring-slate-200\",\n path: \"/tools/mapper\",\n subItems: [\n { label: nav.tools_mapper, path: \"/tools/mapper\" },\n { label: nav.tools_debug, path: \"/tools/debug\" },\n { label: nav.tools_storage, path: \"/tools/storage\" },\n { label: nav.tools_backups, path: \"/tools/backups\" },\n ],\n },\n {\n id: \"storage\",\n label: nav.storage,\n icon: \"storage\",\n tone: \"from-amber-100 to-amber-200 text-amber-800 ring-amber-200\",\n path: \"/storage\",\n requiredPermission: \"plugin:storage\",\n requiredAction: \"READ\",\n subItems: [\n { label: nav.repositories, path: \"/storage/repos\", requiredPermission: \"plugin:storage\", requiredAction: \"READ\" },\n ],\n },\n {\n id: \"admin\",\n label: nav.admin,\n icon: \"admin\",\n tone: \"from-rose-100 to-rose-200 text-rose-700 ring-rose-200\",\n path: \"/admin/users\",\n subItems: [\n { label: nav.admin_users, path: \"/admin/users\", requiredPermission: \"admin:users\", requiredAction: \"READ\" },\n { label: nav.admin_roles, path: \"/admin/roles\", requiredPermission: \"admin:roles\", requiredAction: \"READ\" },\n { label: nav.admin_settings, path: \"/admin/settings\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n { label: nav.admin_llm, path: \"/admin/settings/llm\", requiredPermission: \"admin:settings\", requiredAction: \"READ\" },\n ],\n },\n ],\n };\n\n const allSections = [resources, operations, system];\n\n // Filter by permissions and features\n return allSections\n .map((section) => ({\n ...section,\n categories: section.categories\n .map((category) => {\n const visibleSubItems = (category.subItems || []).filter(\n (sub) => isItemAllowed(user, sub) && isFeatureEnabled(sub, features),\n );\n return { ...category, subItems: visibleSubItems };\n })\n .filter((category) => {\n if (!isItemAllowed(user, category)) return false;\n return Array.isArray(category.subItems) && category.subItems.length > 0;\n }),\n }))\n .filter((section) => section.categories.length > 0);\n}\n// #endregion buildSidebarSections:Function\n" }, { "contract_id": "ReportCardTest:Module", @@ -71466,7 +73397,7 @@ "schema_warnings": [], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region I18nModule [C:3] [TYPE Module] [SEMANTICS i18n, localization, store, locale, translation]\n// @BRIEF Centralized internationalization management using Svelte stores with Russian and English locale support persisted in LocalStorage.\n// @RELATION DEPENDS_ON -> [LocaleEn]\n// @RELATION DEPENDS_ON -> [LocaleRu]\n\n// #region i18n:Module [TYPE Function]\n//\n// @SEMANTICS: i18n, localization, svelte-store, translation\n// @PURPOSE: Centralized internationalization management using Svelte stores.\n// @LAYER: Infra\n// @RELATION: DEPENDS_ON -> i18n_ru_locale\n// @RELATION: DEPENDS_ON -> i18n_en_locale\n//\n// @INVARIANT: Locale must be either 'ru' or 'en'.\n// @INVARIANT: Persistence is handled via LocalStorage.\n\n// [SECTION: IMPORTS]\nimport { writable, derived } from 'svelte/store';\n\n// Domain-split locale files (INV_7: each file < 400 lines)\nimport enCommon from './locales/en/common.json';\nimport enNav from './locales/en/nav.json';\nimport enHealth from './locales/en/health.json';\nimport enLlm from './locales/en/llm.json';\nimport enSettings from './locales/en/settings.json';\nimport enGit from './locales/en/git.json';\nimport enDashboard from './locales/en/dashboard.json';\nimport enProfile from './locales/en/profile.json';\nimport enReports from './locales/en/reports.json';\nimport enDatasets from './locales/en/datasets.json';\nimport enDatasetReview from './locales/en/dataset_review.json';\nimport enTasks from './locales/en/tasks.json';\nimport enDebug from './locales/en/debug.json';\nimport enAdmin from './locales/en/admin.json';\nimport enTranslate from './locales/en/translate.json';\nimport enAssistant from './locales/en/assistant.json';\nimport enAuth from './locales/en/auth.json';\nimport enConnections from './locales/en/connections.json';\nimport enMapper from './locales/en/mapper.json';\nimport enMigration from './locales/en/migration.json';\nimport enStorage from './locales/en/storage.json';\n\nimport ruCommon from './locales/ru/common.json';\nimport ruNav from './locales/ru/nav.json';\nimport ruHealth from './locales/ru/health.json';\nimport ruLlm from './locales/ru/llm.json';\nimport ruSettings from './locales/ru/settings.json';\nimport ruGit from './locales/ru/git.json';\nimport ruDashboard from './locales/ru/dashboard.json';\nimport ruProfile from './locales/ru/profile.json';\nimport ruReports from './locales/ru/reports.json';\nimport ruDatasets from './locales/ru/datasets.json';\nimport ruDatasetReview from './locales/ru/dataset_review.json';\nimport ruTasks from './locales/ru/tasks.json';\nimport ruDebug from './locales/ru/debug.json';\nimport ruAdmin from './locales/ru/admin.json';\nimport ruTranslate from './locales/ru/translate.json';\nimport ruAssistant from './locales/ru/assistant.json';\nimport ruAuth from './locales/ru/auth.json';\nimport ruConnections from './locales/ru/connections.json';\nimport ruMapper from './locales/ru/mapper.json';\nimport ruMigration from './locales/ru/migration.json';\nimport ruStorage from './locales/ru/storage.json';\n\n// Merge domain objects into locale dictionaries\nconst en = {\n\tcommon: enCommon,\n\tnav: enNav,\n\thealth: enHealth,\n\tllm: enLlm,\n\tsettings: enSettings,\n\tgit: enGit,\n\tdashboard: enDashboard,\n\tprofile: enProfile,\n\treports: enReports,\n\tdatasets: enDatasets,\n\tdataset_review: enDatasetReview,\n\ttasks: enTasks,\n\tdebug: enDebug,\n\tadmin: enAdmin,\n\ttranslate: enTranslate,\n\tassistant: enAssistant,\n\tauth: enAuth,\n\tconnections: enConnections,\n\tmapper: enMapper,\n\tmigration: enMigration,\n\tstorage: enStorage,\n};\n\nconst ru = {\n\tcommon: ruCommon,\n\tnav: ruNav,\n\thealth: ruHealth,\n\tllm: ruLlm,\n\tsettings: ruSettings,\n\tgit: ruGit,\n\tdashboard: ruDashboard,\n\tprofile: ruProfile,\n\treports: ruReports,\n\tdatasets: ruDatasets,\n\tdataset_review: ruDatasetReview,\n\ttasks: ruTasks,\n\tdebug: ruDebug,\n\tadmin: ruAdmin,\n\ttranslate: ruTranslate,\n\tassistant: ruAssistant,\n\tauth: ruAuth,\n\tconnections: ruConnections,\n\tmapper: ruMapper,\n\tmigration: ruMigration,\n\tstorage: ruStorage,\n};\n\nconst translations = { ru, en };\ntype Locale = keyof typeof translations;\n\n/**\n * @purpose Determines the starting locale.\n * @returns {Locale}\n */\nconst getInitialLocale = (): Locale => {\n if (typeof localStorage !== 'undefined') {\n const saved = localStorage.getItem('locale');\n if (saved === 'ru' || saved === 'en') return saved as Locale;\n }\n return 'ru';\n};\n\n// #region locale:Store [TYPE Function]\n/**\n * @purpose Holds the current active locale string.\n * @side_effect Writes to LocalStorage on change.\n */\nexport const locale = writable(getInitialLocale());\n\nif (typeof localStorage !== 'undefined') {\n locale.subscribe((val) => localStorage.setItem('locale', val));\n}\n// #endregion locale:Store\n\n// #region t:Store [TYPE Function]\n/**\n * @purpose Derived store providing the translation dictionary.\n * @relation BINDS_TO -> locale\n */\nexport const t = derived(locale, ($locale) => {\n const dictionary = (translations[$locale] || translations.ru) as any;\n return dictionary;\n});\n// #endregion t:Store\n\n// #region _:Function [TYPE Function]\n/**\n * @purpose Get translation by key path.\n * @param key - Translation key path (e.g., 'nav.dashboard')\n * @returns Translation string or key if not found\n */\nexport function _(key: string): string {\n const currentLocale = getInitialLocale();\n const dictionary = (translations[currentLocale] || translations.ru) as any;\n \n // Navigate through nested keys\n const keys = key.split('.');\n let value: any = dictionary;\n \n for (const k of keys) {\n if (value && typeof value === 'object' && k in value) {\n value = value[k];\n } else {\n return key; // Return key if translation not found\n }\n }\n \n return typeof value === 'string' ? value : key;\n}\n// #endregion _:Function\n\n// #endregion i18n:Module\n// #endregion I18nModule\n" + "body": "// #region I18nModule [C:3] [TYPE Module] [SEMANTICS i18n, localization, store, locale, translation]\n// @BRIEF Centralized internationalization management using Svelte stores with Russian and English locale support persisted in LocalStorage.\n// @RELATION DEPENDS_ON -> [LocaleEn]\n// @RELATION DEPENDS_ON -> [LocaleRu]\n\n// #region i18n:Module [TYPE Function]\n//\n// @SEMANTICS: i18n, localization, svelte-store, translation\n// @PURPOSE: Centralized internationalization management using Svelte stores.\n// @LAYER: Infra\n// @RELATION: DEPENDS_ON -> i18n_ru_locale\n// @RELATION: DEPENDS_ON -> i18n_en_locale\n//\n// @INVARIANT: Locale must be either 'ru' or 'en'.\n// @INVARIANT: Persistence is handled via LocalStorage.\n\n// [SECTION: IMPORTS]\nimport { writable, derived } from 'svelte/store';\n\n// Domain-split locale files (INV_7: each file < 400 lines)\nimport enCommon from './locales/en/common.json';\nimport enNav from './locales/en/nav.json';\nimport enHealth from './locales/en/health.json';\nimport enLlm from './locales/en/llm.json';\nimport enSettings from './locales/en/settings.json';\nimport enGit from './locales/en/git.json';\nimport enDashboard from './locales/en/dashboard.json';\nimport enProfile from './locales/en/profile.json';\nimport enReports from './locales/en/reports.json';\nimport enDatasets from './locales/en/datasets.json';\nimport enDatasetReview from './locales/en/dataset_review.json';\nimport enTasks from './locales/en/tasks.json';\nimport enDebug from './locales/en/debug.json';\nimport enAdmin from './locales/en/admin.json';\nimport enTranslate from './locales/en/translate.json';\nimport enValidation from './locales/en/validation.json';\nimport enAssistant from './locales/en/assistant.json';\nimport enAuth from './locales/en/auth.json';\nimport enMapper from './locales/en/mapper.json';\nimport enMigration from './locales/en/migration.json';\nimport enStorage from './locales/en/storage.json';\n\nimport ruCommon from './locales/ru/common.json';\nimport ruNav from './locales/ru/nav.json';\nimport ruHealth from './locales/ru/health.json';\nimport ruLlm from './locales/ru/llm.json';\nimport ruSettings from './locales/ru/settings.json';\nimport ruGit from './locales/ru/git.json';\nimport ruDashboard from './locales/ru/dashboard.json';\nimport ruProfile from './locales/ru/profile.json';\nimport ruReports from './locales/ru/reports.json';\nimport ruDatasets from './locales/ru/datasets.json';\nimport ruDatasetReview from './locales/ru/dataset_review.json';\nimport ruTasks from './locales/ru/tasks.json';\nimport ruDebug from './locales/ru/debug.json';\nimport ruAdmin from './locales/ru/admin.json';\nimport ruTranslate from './locales/ru/translate.json';\nimport ruValidation from './locales/ru/validation.json';\nimport ruAssistant from './locales/ru/assistant.json';\nimport ruAuth from './locales/ru/auth.json';\nimport ruMapper from './locales/ru/mapper.json';\nimport ruMigration from './locales/ru/migration.json';\nimport ruStorage from './locales/ru/storage.json';\n\n// Merge domain objects into locale dictionaries\nconst en = {\n\tcommon: enCommon,\n\tnav: enNav,\n\thealth: enHealth,\n\tllm: enLlm,\n\tsettings: enSettings,\n\tgit: enGit,\n\tdashboard: enDashboard,\n\tprofile: enProfile,\n\treports: enReports,\n\tdatasets: enDatasets,\n\tdataset_review: enDatasetReview,\n\ttasks: enTasks,\n\tdebug: enDebug,\n\tadmin: enAdmin,\n\ttranslate: enTranslate,\n\tvalidation: enValidation,\n\tassistant: enAssistant,\n\tauth: enAuth,\n\tmapper: enMapper,\n\tmigration: enMigration,\n\tstorage: enStorage,\n};\n\nconst ru = {\n\tcommon: ruCommon,\n\tnav: ruNav,\n\thealth: ruHealth,\n\tllm: ruLlm,\n\tsettings: ruSettings,\n\tgit: ruGit,\n\tdashboard: ruDashboard,\n\tprofile: ruProfile,\n\treports: ruReports,\n\tdatasets: ruDatasets,\n\tdataset_review: ruDatasetReview,\n\ttasks: ruTasks,\n\tdebug: ruDebug,\n\tadmin: ruAdmin,\n\ttranslate: ruTranslate,\n\tvalidation: ruValidation,\n\tassistant: ruAssistant,\n\tauth: ruAuth,\n\tmapper: ruMapper,\n\tmigration: ruMigration,\n\tstorage: ruStorage,\n};\n\nconst translations = { ru, en };\ntype Locale = keyof typeof translations;\n\n/**\n * @purpose Determines the starting locale.\n * @returns {Locale}\n */\nconst getInitialLocale = (): Locale => {\n if (typeof localStorage !== 'undefined') {\n const saved = localStorage.getItem('locale');\n if (saved === 'ru' || saved === 'en') return saved as Locale;\n }\n return 'ru';\n};\n\n// #region locale:Store [TYPE Function]\n/**\n * @purpose Holds the current active locale string.\n * @side_effect Writes to LocalStorage on change.\n */\nexport const locale = writable(getInitialLocale());\n\nif (typeof localStorage !== 'undefined') {\n locale.subscribe((val) => localStorage.setItem('locale', val));\n}\n// #endregion locale:Store\n\n// #region t:Store [TYPE Function]\n/**\n * @purpose Derived store providing the translation dictionary.\n * @relation BINDS_TO -> locale\n */\nexport const t = derived(locale, ($locale) => {\n const dictionary = (translations[$locale] || translations.ru) as any;\n return dictionary;\n});\n// #endregion t:Store\n\n// #region _:Function [TYPE Function]\n/**\n * @purpose Get translation by key path.\n * @param key - Translation key path (e.g., 'nav.dashboard')\n * @returns Translation string or key if not found\n */\nexport function _(key: string): string {\n const currentLocale = getInitialLocale();\n const dictionary = (translations[currentLocale] || translations.ru) as any;\n \n // Navigate through nested keys\n const keys = key.split('.');\n let value: any = dictionary;\n \n for (const k of keys) {\n if (value && typeof value === 'object' && k in value) {\n value = value[k];\n } else {\n return key; // Return key if translation not found\n }\n }\n \n return typeof value === 'string' ? value : key;\n}\n// #endregion _:Function\n\n// #endregion i18n:Module\n// #endregion I18nModule\n" }, { "contract_id": "i18n:Module", @@ -71545,7 +73476,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region i18n:Module [TYPE Function]\n//\n// @SEMANTICS: i18n, localization, svelte-store, translation\n// @PURPOSE: Centralized internationalization management using Svelte stores.\n// @LAYER: Infra\n// @RELATION: DEPENDS_ON -> i18n_ru_locale\n// @RELATION: DEPENDS_ON -> i18n_en_locale\n//\n// @INVARIANT: Locale must be either 'ru' or 'en'.\n// @INVARIANT: Persistence is handled via LocalStorage.\n\n// [SECTION: IMPORTS]\nimport { writable, derived } from 'svelte/store';\n\n// Domain-split locale files (INV_7: each file < 400 lines)\nimport enCommon from './locales/en/common.json';\nimport enNav from './locales/en/nav.json';\nimport enHealth from './locales/en/health.json';\nimport enLlm from './locales/en/llm.json';\nimport enSettings from './locales/en/settings.json';\nimport enGit from './locales/en/git.json';\nimport enDashboard from './locales/en/dashboard.json';\nimport enProfile from './locales/en/profile.json';\nimport enReports from './locales/en/reports.json';\nimport enDatasets from './locales/en/datasets.json';\nimport enDatasetReview from './locales/en/dataset_review.json';\nimport enTasks from './locales/en/tasks.json';\nimport enDebug from './locales/en/debug.json';\nimport enAdmin from './locales/en/admin.json';\nimport enTranslate from './locales/en/translate.json';\nimport enAssistant from './locales/en/assistant.json';\nimport enAuth from './locales/en/auth.json';\nimport enConnections from './locales/en/connections.json';\nimport enMapper from './locales/en/mapper.json';\nimport enMigration from './locales/en/migration.json';\nimport enStorage from './locales/en/storage.json';\n\nimport ruCommon from './locales/ru/common.json';\nimport ruNav from './locales/ru/nav.json';\nimport ruHealth from './locales/ru/health.json';\nimport ruLlm from './locales/ru/llm.json';\nimport ruSettings from './locales/ru/settings.json';\nimport ruGit from './locales/ru/git.json';\nimport ruDashboard from './locales/ru/dashboard.json';\nimport ruProfile from './locales/ru/profile.json';\nimport ruReports from './locales/ru/reports.json';\nimport ruDatasets from './locales/ru/datasets.json';\nimport ruDatasetReview from './locales/ru/dataset_review.json';\nimport ruTasks from './locales/ru/tasks.json';\nimport ruDebug from './locales/ru/debug.json';\nimport ruAdmin from './locales/ru/admin.json';\nimport ruTranslate from './locales/ru/translate.json';\nimport ruAssistant from './locales/ru/assistant.json';\nimport ruAuth from './locales/ru/auth.json';\nimport ruConnections from './locales/ru/connections.json';\nimport ruMapper from './locales/ru/mapper.json';\nimport ruMigration from './locales/ru/migration.json';\nimport ruStorage from './locales/ru/storage.json';\n\n// Merge domain objects into locale dictionaries\nconst en = {\n\tcommon: enCommon,\n\tnav: enNav,\n\thealth: enHealth,\n\tllm: enLlm,\n\tsettings: enSettings,\n\tgit: enGit,\n\tdashboard: enDashboard,\n\tprofile: enProfile,\n\treports: enReports,\n\tdatasets: enDatasets,\n\tdataset_review: enDatasetReview,\n\ttasks: enTasks,\n\tdebug: enDebug,\n\tadmin: enAdmin,\n\ttranslate: enTranslate,\n\tassistant: enAssistant,\n\tauth: enAuth,\n\tconnections: enConnections,\n\tmapper: enMapper,\n\tmigration: enMigration,\n\tstorage: enStorage,\n};\n\nconst ru = {\n\tcommon: ruCommon,\n\tnav: ruNav,\n\thealth: ruHealth,\n\tllm: ruLlm,\n\tsettings: ruSettings,\n\tgit: ruGit,\n\tdashboard: ruDashboard,\n\tprofile: ruProfile,\n\treports: ruReports,\n\tdatasets: ruDatasets,\n\tdataset_review: ruDatasetReview,\n\ttasks: ruTasks,\n\tdebug: ruDebug,\n\tadmin: ruAdmin,\n\ttranslate: ruTranslate,\n\tassistant: ruAssistant,\n\tauth: ruAuth,\n\tconnections: ruConnections,\n\tmapper: ruMapper,\n\tmigration: ruMigration,\n\tstorage: ruStorage,\n};\n\nconst translations = { ru, en };\ntype Locale = keyof typeof translations;\n\n/**\n * @purpose Determines the starting locale.\n * @returns {Locale}\n */\nconst getInitialLocale = (): Locale => {\n if (typeof localStorage !== 'undefined') {\n const saved = localStorage.getItem('locale');\n if (saved === 'ru' || saved === 'en') return saved as Locale;\n }\n return 'ru';\n};\n\n// #region locale:Store [TYPE Function]\n/**\n * @purpose Holds the current active locale string.\n * @side_effect Writes to LocalStorage on change.\n */\nexport const locale = writable(getInitialLocale());\n\nif (typeof localStorage !== 'undefined') {\n locale.subscribe((val) => localStorage.setItem('locale', val));\n}\n// #endregion locale:Store\n\n// #region t:Store [TYPE Function]\n/**\n * @purpose Derived store providing the translation dictionary.\n * @relation BINDS_TO -> locale\n */\nexport const t = derived(locale, ($locale) => {\n const dictionary = (translations[$locale] || translations.ru) as any;\n return dictionary;\n});\n// #endregion t:Store\n\n// #region _:Function [TYPE Function]\n/**\n * @purpose Get translation by key path.\n * @param key - Translation key path (e.g., 'nav.dashboard')\n * @returns Translation string or key if not found\n */\nexport function _(key: string): string {\n const currentLocale = getInitialLocale();\n const dictionary = (translations[currentLocale] || translations.ru) as any;\n \n // Navigate through nested keys\n const keys = key.split('.');\n let value: any = dictionary;\n \n for (const k of keys) {\n if (value && typeof value === 'object' && k in value) {\n value = value[k];\n } else {\n return key; // Return key if translation not found\n }\n }\n \n return typeof value === 'string' ? value : key;\n}\n// #endregion _:Function\n\n// #endregion i18n:Module\n" + "body": "// #region i18n:Module [TYPE Function]\n//\n// @SEMANTICS: i18n, localization, svelte-store, translation\n// @PURPOSE: Centralized internationalization management using Svelte stores.\n// @LAYER: Infra\n// @RELATION: DEPENDS_ON -> i18n_ru_locale\n// @RELATION: DEPENDS_ON -> i18n_en_locale\n//\n// @INVARIANT: Locale must be either 'ru' or 'en'.\n// @INVARIANT: Persistence is handled via LocalStorage.\n\n// [SECTION: IMPORTS]\nimport { writable, derived } from 'svelte/store';\n\n// Domain-split locale files (INV_7: each file < 400 lines)\nimport enCommon from './locales/en/common.json';\nimport enNav from './locales/en/nav.json';\nimport enHealth from './locales/en/health.json';\nimport enLlm from './locales/en/llm.json';\nimport enSettings from './locales/en/settings.json';\nimport enGit from './locales/en/git.json';\nimport enDashboard from './locales/en/dashboard.json';\nimport enProfile from './locales/en/profile.json';\nimport enReports from './locales/en/reports.json';\nimport enDatasets from './locales/en/datasets.json';\nimport enDatasetReview from './locales/en/dataset_review.json';\nimport enTasks from './locales/en/tasks.json';\nimport enDebug from './locales/en/debug.json';\nimport enAdmin from './locales/en/admin.json';\nimport enTranslate from './locales/en/translate.json';\nimport enValidation from './locales/en/validation.json';\nimport enAssistant from './locales/en/assistant.json';\nimport enAuth from './locales/en/auth.json';\nimport enMapper from './locales/en/mapper.json';\nimport enMigration from './locales/en/migration.json';\nimport enStorage from './locales/en/storage.json';\n\nimport ruCommon from './locales/ru/common.json';\nimport ruNav from './locales/ru/nav.json';\nimport ruHealth from './locales/ru/health.json';\nimport ruLlm from './locales/ru/llm.json';\nimport ruSettings from './locales/ru/settings.json';\nimport ruGit from './locales/ru/git.json';\nimport ruDashboard from './locales/ru/dashboard.json';\nimport ruProfile from './locales/ru/profile.json';\nimport ruReports from './locales/ru/reports.json';\nimport ruDatasets from './locales/ru/datasets.json';\nimport ruDatasetReview from './locales/ru/dataset_review.json';\nimport ruTasks from './locales/ru/tasks.json';\nimport ruDebug from './locales/ru/debug.json';\nimport ruAdmin from './locales/ru/admin.json';\nimport ruTranslate from './locales/ru/translate.json';\nimport ruValidation from './locales/ru/validation.json';\nimport ruAssistant from './locales/ru/assistant.json';\nimport ruAuth from './locales/ru/auth.json';\nimport ruMapper from './locales/ru/mapper.json';\nimport ruMigration from './locales/ru/migration.json';\nimport ruStorage from './locales/ru/storage.json';\n\n// Merge domain objects into locale dictionaries\nconst en = {\n\tcommon: enCommon,\n\tnav: enNav,\n\thealth: enHealth,\n\tllm: enLlm,\n\tsettings: enSettings,\n\tgit: enGit,\n\tdashboard: enDashboard,\n\tprofile: enProfile,\n\treports: enReports,\n\tdatasets: enDatasets,\n\tdataset_review: enDatasetReview,\n\ttasks: enTasks,\n\tdebug: enDebug,\n\tadmin: enAdmin,\n\ttranslate: enTranslate,\n\tvalidation: enValidation,\n\tassistant: enAssistant,\n\tauth: enAuth,\n\tmapper: enMapper,\n\tmigration: enMigration,\n\tstorage: enStorage,\n};\n\nconst ru = {\n\tcommon: ruCommon,\n\tnav: ruNav,\n\thealth: ruHealth,\n\tllm: ruLlm,\n\tsettings: ruSettings,\n\tgit: ruGit,\n\tdashboard: ruDashboard,\n\tprofile: ruProfile,\n\treports: ruReports,\n\tdatasets: ruDatasets,\n\tdataset_review: ruDatasetReview,\n\ttasks: ruTasks,\n\tdebug: ruDebug,\n\tadmin: ruAdmin,\n\ttranslate: ruTranslate,\n\tvalidation: ruValidation,\n\tassistant: ruAssistant,\n\tauth: ruAuth,\n\tmapper: ruMapper,\n\tmigration: ruMigration,\n\tstorage: ruStorage,\n};\n\nconst translations = { ru, en };\ntype Locale = keyof typeof translations;\n\n/**\n * @purpose Determines the starting locale.\n * @returns {Locale}\n */\nconst getInitialLocale = (): Locale => {\n if (typeof localStorage !== 'undefined') {\n const saved = localStorage.getItem('locale');\n if (saved === 'ru' || saved === 'en') return saved as Locale;\n }\n return 'ru';\n};\n\n// #region locale:Store [TYPE Function]\n/**\n * @purpose Holds the current active locale string.\n * @side_effect Writes to LocalStorage on change.\n */\nexport const locale = writable(getInitialLocale());\n\nif (typeof localStorage !== 'undefined') {\n locale.subscribe((val) => localStorage.setItem('locale', val));\n}\n// #endregion locale:Store\n\n// #region t:Store [TYPE Function]\n/**\n * @purpose Derived store providing the translation dictionary.\n * @relation BINDS_TO -> locale\n */\nexport const t = derived(locale, ($locale) => {\n const dictionary = (translations[$locale] || translations.ru) as any;\n return dictionary;\n});\n// #endregion t:Store\n\n// #region _:Function [TYPE Function]\n/**\n * @purpose Get translation by key path.\n * @param key - Translation key path (e.g., 'nav.dashboard')\n * @returns Translation string or key if not found\n */\nexport function _(key: string): string {\n const currentLocale = getInitialLocale();\n const dictionary = (translations[currentLocale] || translations.ru) as any;\n \n // Navigate through nested keys\n const keys = key.split('.');\n let value: any = dictionary;\n \n for (const k of keys) {\n if (value && typeof value === 'object' && k in value) {\n value = value[k];\n } else {\n return key; // Return key if translation not found\n }\n }\n \n return typeof value === 'string' ? value : key;\n}\n// #endregion _:Function\n\n// #endregion i18n:Module\n" }, { "contract_id": "locale:Store", @@ -78237,6 +80168,330 @@ "tier_source": "AutoCalculated", "body": "// #region HealthPageIntegrationTest:Module [TYPE Function]\n// @SEMANTICS: health-page, integration-test, slug-link, delete-flow\n// @PURPOSE: Lock dashboard health page contract for slug navigation and report deletion.\n// @LAYER: UI Tests\n// @RELATION: DEPENDS_ON -> [HealthCenterPage]\n\nimport { describe, it, expect } from 'vitest';\nimport fs from 'node:fs';\nimport path from 'node:path';\n\nconst PAGE_PATH = path.resolve(\n process.cwd(),\n 'src/routes/dashboards/health/+page.svelte',\n);\n\ndescribe('Dashboard health page contract', () => {\n it('renders slug-first dashboard link bound to environment route context', () => {\n const source = fs.readFileSync(PAGE_PATH, 'utf-8');\n\n expect(source).toContain(\"{$t.health?.table_dashboard}\");\n expect(source).toContain(\"item.dashboard_slug || item.dashboard_id\");\n expect(source).toContain(\"href={`/dashboards/${encodeURIComponent(String(item.dashboard_slug || item.dashboard_id))}?env_id=${encodeURIComponent(item.environment_id)}`}\");\n });\n\n it('keeps explicit delete report flow with confirm and DELETE request', () => {\n const source = fs.readFileSync(PAGE_PATH, 'utf-8');\n\n expect(source).toContain('async function handleDeleteReport(item)');\n expect(source).toContain(\"requestApi(`/health/summary/${item.record_id}`, 'DELETE')\");\n expect(source).toContain(\"$t.health?.delete_confirm.replace('{slug}', item.dashboard_slug || item.dashboard_id)\");\n expect(source).toContain(\"$t.common?.delete\");\n });\n\n it('reuses global health store refresh for all-environment summary loads', () => {\n const source = fs.readFileSync(PAGE_PATH, 'utf-8');\n\n expect(source).toContain(\"import { healthStore } from '$lib/stores/health.js';\");\n expect(source).toContain('? getHealthSummary(selectedEnvId)');\n expect(source).toContain(': healthStore.refresh();');\n });\n});\n// #endregion HealthPageIntegrationTest:Module\n" }, + { + "contract_id": "DatasetHub", + "contract_type": "Page", + "file_path": "frontend/src/routes/datasets/+page.svelte", + "start_line": 1, + "end_line": 407, + "tier": "TIER_3", + "complexity": 5, + "metadata": { + "COMPLEXITY": 5 + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Page' at C5", + "detail": { + "actual_complexity": 5, + "contract_type": "Page" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n
\n \n
\n

{$t.nav?.datasets}

\n
\n \n {$t.datasets?.all}: {stats?.total ?? 0}\n \n \n
\n
\n\n \n {#if dsError}\n
\n {dsError}\n \n
\n {/if}\n\n \n \n\n \n
\n \n
\n \n
\n\n \n {#if isMobile && mobileSlideOpen}\n \n \n \n \n
\n {detailData?.table_name ?? $t.datasets?.no_selection}\n \n
\n detailData && loadDetail(detailData.id)} envId={selectedEnv} />\n
\n {:else if !isMobile}\n
\n selectedDatasetId && loadDetail(selectedDatasetId)} envId={selectedEnv} />\n
\n {/if}\n
\n\n \n {#if selectedIds.size >= 2}\n
\n
\n ✓ {selectedIds.size} {$t.datasets?.selected}\n
\n \n \n \n
\n
\n
\n {/if}\n\n \n {#if showMapColumnsModal}\n
{ if (e.target === e.currentTarget) showMapColumnsModal = false; }}>\n
e.stopPropagation()}>\n

{$t.datasets?.bulk_map_columns}

\n

{$t.datasets?.selected_count?.replace('{count}', String(selectedIds.size))}

\n \n {#if mapSourceType === \"sqllab\"}\n \n \n \n \n {:else}\n mapFileData = e.target.files} />\n {/if}\n
\n \n \n
\n
\n
\n {/if}\n\n \n {#if showGenerateDocsModal}\n
{ if (e.target === e.currentTarget) showGenerateDocsModal = false; }}>\n
e.stopPropagation()}>\n

{$t.datasets?.bulk_docs_generation}

\n

{$t.datasets?.selected_count?.replace('{count}', String(selectedIds.size))}

\n \n
\n \n \n
\n
\n
\n {/if}\n\n\n" + }, + { + "contract_id": "ColumnsTable", + "contract_type": "Component", + "file_path": "frontend/src/routes/datasets/ColumnsTable.svelte", + "start_line": 1, + "end_line": 135, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "LAYER": "UI", + "PURPOSE": "Table of dataset columns with type chips, description, and inline-edit capability.", + "UX_REACTIVITY": "Props -> columns, datasetId", + "UX_STATE": "Editing -> One row in edit mode (textarea), others dimmed." + }, + "relations": [ + { + "source_id": "ColumnsTable", + "relation_type": "CALLS", + "target_id": "api_module", + "target_ref": "[api_module]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "LAYER", + "message": "@LAYER is not allowed for contract type 'Component'", + "detail": { + "actual_type": "Component", + "allowed_types": [ + "Module", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "LAYER", + "message": "@LAYER is forbidden for contract type 'Component' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Component" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n
\n \n \n \n \n \n \n \n \n \n \n {#if columns.length === 0}\n \n {:else}\n {#each columns as col (col.id)}\n \n \n \n \n \n \n {/each}\n {/if}\n \n
{$t.datasets?.table_name ?? 'Column'}{$t.dashboard?.type ?? 'Type'}{$t.dashboard?.description ?? 'Description'}
{$t.datasets?.detail_empty ?? 'No data'}
\n {#if col.verbose_name}\n {col.verbose_name}\n {:else}\n {col.name}\n {/if}\n \n \n {col.type ?? '—'}\n \n \n {#if editingRowId === col.id}\n
\n \n {#if editError}\n {editError}\n {/if}\n
\n saveEdit(col)}\n disabled={isSaving}\n >{isSaving ? '...' : ($t.datasets?.save_description ?? 'Save')}\n {$t.common?.cancel ?? 'Cancel'}\n
\n
\n {:else if col.description}\n {col.description}\n {:else}\n {'✏️ ' + ($t.datasets?.add_description ?? 'Add description')}\n {/if}\n 		\n {#if editingRowId !== col.id}\n startEdit(col)}\n aria-label={$t.datasets?.add_description ?? 'Edit'}\n >✏️\n {/if}\n
\n
\n\n" + }, + { + "contract_id": "DatasetList", + "contract_type": "Component", + "file_path": "frontend/src/routes/datasets/DatasetList.svelte", + "start_line": 1, + "end_line": 168, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "LAYER": "UI", + "PURPOSE": "Renders paginated dataset cards with mapping progress bars, checkboxes, and quick actions.", + "UX_REACTIVITY": "Props -> datasets, selectedIds, isLoading, error, total, page, totalPages, pageSize, onselect, onaction, onpagechange, onsearch, oncheckbox", + "UX_STATE": "Empty -> \"No datasets found\" after search/filter." + }, + "relations": [ + { + "source_id": "DatasetList", + "relation_type": "BINDS_TO", + "target_id": "environmentContextStore", + "target_ref": "[environmentContextStore]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "LAYER", + "message": "@LAYER is not allowed for contract type 'Component'", + "detail": { + "actual_type": "Component", + "allowed_types": [ + "Module", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "LAYER", + "message": "@LAYER is forbidden for contract type 'Component' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Component" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n
\n \n
\n { selectedIds = new Set(datasets.map(d => d.id)); oncheckbox?.({}, 'all'); }}\n >{$t.datasets?.select_all}\n { selectedIds = new Set(); oncheckbox?.({}, 'clear-all'); }}\n >{$t.datasets?.deselect_all}\n
\n
\n\n\n{#if isLoading}\n
\n {#each Array(3) as _}\n
\n
\n
\n
\n
\n {/each}\n
\n{:else if error}\n
\n {error}\n
\n{:else if datasets.length === 0}\n
{$t.datasets?.empty}
\n{:else}\n \n
\n {#each datasets as dataset}\n handleCardClick(dataset, e)}\n role=\"button\"\n tabindex=\"0\"\n >\n
\n \n handleCheckboxChange(dataset, e)}\n />\n \n
\n
{dataset.table_name}
\n
\n {dataset.schema ?? '-'}\n {dataset.column_count ?? 0} {$t.datasets?.columns?.toLowerCase() ?? 'columns'}\n {#if dataset.metric_count > 0}\n {dataset.metric_count} {$t.datasets?.metric_count ?? 'metrics'}\n {/if}\n
\n \n {#if dataset.mappedFields?.total}\n
\n
\n
\n
\n
\n {dataset.mappedFields.mapped}/{dataset.mappedFields.total} {$t.datasets?.mapped_of_total}\n
\n
\n {/if}\n
\n \n
\n { e.stopPropagation(); onaction?.(dataset, 'map_columns'); }}\n >{$t.datasets?.action_map_columns}\n { e.stopPropagation(); onaction?.(dataset, 'generate_docs'); }}\n >{$t.datasets?.generate_docs}\n
\n
\n \n {/each}\n \n\n \n {#if totalPages > 1}\n
\n \n {($t.datasets?.showing ?? 'Showing {start}-{end} of {total}').replace('{start}', String((page - 1) * pageSize + 1)).replace('{end}', String(Math.min(page * pageSize, total))).replace('{total}', String(total))}\n \n
\n \n \n {page} / {totalPages}\n \n \n
\n
\n {/if}\n{/if}\n\n" + }, + { + "contract_id": "DatasetPreview", + "contract_type": "Component", + "file_path": "frontend/src/routes/datasets/DatasetPreview.svelte", + "start_line": 1, + "end_line": 84, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "UI", + "PURPOSE": "Right panel showing dataset detail: header info, columns table, metrics table, linked dashboards. Presentational.", + "UX_STATE": "Error -> Error banner with retry." + }, + "relations": [ + { + "source_id": "DatasetPreview", + "relation_type": "DEPENDS_ON", + "target_id": "ColumnsTable", + "target_ref": "[ColumnsTable]" + }, + { + "source_id": "DatasetPreview", + "relation_type": "DEPENDS_ON", + "target_id": "MetricsTable", + "target_ref": "[MetricsTable]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "LAYER", + "message": "@LAYER is not allowed for contract type 'Component'", + "detail": { + "actual_type": "Component", + "allowed_types": [ + "Module", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "LAYER", + "message": "@LAYER is forbidden for contract type 'Component' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Component" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n{#if isLoading}\n
\n
\n
\n
\n {#each Array(3) as _, i (i)}\n
\n {/each}\n
\n
\n{:else if error}\n
\n
{error}
\n {#if onretry}\n \n {/if}\n
\n{:else if !dataset}\n
\n
\n \n

{$t.datasets?.no_selection ?? 'Select a dataset from the list'}

\n
\n
\n{:else}\n
\n \n
\n

{dataset.table_name ?? dataset.id}

\n
\n {#if dataset.schema}📁 {dataset.schema}{/if}\n {dataset.column_count ?? 0} {$t.datasets?.columns?.toLowerCase() ?? 'columns'}\n {dataset.metric_count ?? 0} {$t.datasets?.metric_count ?? 'metrics'}\n {#if dataset.linked_dashboard_count > 0}\n 📊 {dataset.linked_dashboard_count} dashboards\n {/if}\n
\n {#if dataset.linked_dashboards?.length}\n
\n {#each dataset.linked_dashboards as dash}\n \n {dash.title}\n \n {/each}\n
\n {/if}\n {#if dataset.created_on}\n
{$t.dashboard?.created ?? 'Created'}: {dataset.created_on}
\n {/if}\n
\n\n \n
\n

{$t.datasets?.columns ?? 'Columns'} ({dataset.column_count ?? 0})

\n \n
\n\n \n
\n

{$t.datasets?.metrics ?? 'Metrics'} ({dataset.metric_count ?? 0})

\n \n
\n
\n{/if}\n\n" + }, + { + "contract_id": "MetricsTable", + "contract_type": "Component", + "file_path": "frontend/src/routes/datasets/MetricsTable.svelte", + "start_line": 1, + "end_line": 121, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "LAYER": "UI", + "PURPOSE": "Table of dataset metrics with expression, description, and inline-edit capability.", + "UX_REACTIVITY": "Props -> metrics, datasetId", + "UX_STATE": "Editing -> One row in edit mode." + }, + "relations": [ + { + "source_id": "MetricsTable", + "relation_type": "CALLS", + "target_id": "api_module", + "target_ref": "[api_module]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "LAYER", + "message": "@LAYER is not allowed for contract type 'Component'", + "detail": { + "actual_type": "Component", + "allowed_types": [ + "Module", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "LAYER", + "message": "@LAYER is forbidden for contract type 'Component' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Component" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n
\n \n \n \n \n \n \n \n \n \n {#if metrics.length === 0}\n \n {:else}\n {#each metrics as metric (metric.id)}\n \n \n \n \n \n {/each}\n {/if}\n \n
{$t.datasets?.metrics ?? 'Metric'}{$t.dashboard?.description ?? 'Description'}
{$t.datasets?.detail_empty ?? 'No data'}
\n {#if metric.verbose_name}\n {metric.verbose_name}\n {:else}\n {metric.metric_name}\n {/if}\n {#if !metric.description && metric.expression}\n
{metric.expression}
\n {/if}\n 		\n {#if editingRowId === metric.id}\n
\n \n {#if editError}\n {editError}\n {/if}\n
\n saveEdit(metric)}\n disabled={isSaving}\n >{isSaving ? '...' : ($t.datasets?.save_description ?? 'Save')}\n {$t.common?.cancel ?? 'Cancel'}\n
\n
\n {:else if metric.description}\n {metric.description}\n {:else}\n {'✏️ ' + ($t.datasets?.add_description ?? 'Add description')}\n {/if}\n 		\n {#if editingRowId !== metric.id}\n startEdit(metric)}\n aria-label={$t.datasets?.add_description ?? 'Edit'}\n >✏️\n {/if}\n
\n
\n\n" + }, + { + "contract_id": "StatsBar", + "contract_type": "Component", + "file_path": "frontend/src/routes/datasets/StatsBar.svelte", + "start_line": 1, + "end_line": 51, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "LAYER": "UI", + "PURPOSE": "Displays 4 aggregate metric tiles (All, Without mapping, Mapped, Linked) and emits filter selection.", + "TYPE": "{{ stats: import('./types').StatsCounts | null, activeFilter: string | null, isLoading?: boolean }}", + "UX_REACTIVITY": "Events -> onfilter(filterKey) dispatched on tile click; parent calls loadDatasets(filter=filterKey).", + "UX_STATE": "Filtered -> Selected tile has accent border; parent triggers API reload with filter param." + }, + "relations": [ + { + "source_id": "StatsBar", + "relation_type": "BINDS_TO", + "target_id": "environmentContextStore", + "target_ref": "[environmentContextStore]" + } + ], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "LAYER", + "message": "@LAYER is not allowed for contract type 'Component'", + "detail": { + "actual_type": "Component", + "allowed_types": [ + "Module", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "LAYER", + "message": "@LAYER is forbidden for contract type 'Component' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Component" + } + }, + { + "code": "invalid_enum_value", + "tag": "TYPE", + "message": "@TYPE value '{{ stats: import('./types').StatsCounts | null, activeFilter: string | null, isLoading?: boolean }}' is not in allowed enum", + "detail": { + "allowed": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Tombstone", + "Skill", + "Agent" + ], + "value": "{{ stats: import('./types').StatsCounts | null, activeFilter: string | null, isLoading?: boolean }}" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n
\n {#each tiles as tile (tile.key)}\n {#if isLoading}\n
\n
\n
\n
\n {:else}\n handleTileClick(tile.key)}\n aria-pressed={activeFilter === tile.key}\n >\n
{$t.datasets?.[tile.label] ?? tile.label}
\n
{tile.getCount(stats)}
\n \n {/if}\n {/each}\n
\n\n" + }, { "contract_id": "DatasetReviewWorkspaceEntry", "contract_type": "Page", @@ -81275,7 +83530,7 @@ "contract_type": "Page", "file_path": "frontend/src/routes/settings/+page.svelte", "start_line": 1, - "end_line": 291, + "end_line": 274, "tier": "TIER_2", "complexity": 4, "metadata": { @@ -81306,12 +83561,6 @@ "target_id": "LoggingSettings", "target_ref": "[LoggingSettings]" }, - { - "source_id": "SettingsPage", - "relation_type": "DEPENDS_ON", - "target_id": "DatabaseConnectionsTab", - "target_ref": "[DatabaseConnectionsTab]" - }, { "source_id": "SettingsPage", "relation_type": "DEPENDS_ON", @@ -81689,7 +83938,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n \n
\n

\n {$t.settings?.title}\n

\n \n {$t.common?.refresh}\n \n
\n\n \n {#if error}\n \n {error}\n \n {$t.common?.retry}\n \n
\n {/if}\n\n \n {#if isLoading}\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {:else if settings}\n \n
\n handleTabChange(\"environments\")}\n >\n {$t.settings?.environments}\n \n handleTabChange(\"logging\")}\n >\n {$t.settings?.logging}\n \n handleTabChange(\"connections\")}\n >\n {$t.settings?.connections}\n \n handleTabChange(\"git\")}\n >\n {$t.nav?.settings_git || $t.nav?.git || \"Git\"}\n \n handleTabChange(\"llm\")}\n >\n {$t.settings?.llm}\n \n handleTabChange(\"migration\")}\n >\n {$t.settings?.migration_sync}\n \n handleTabChange(\"storage\")}\n >\n {$t.settings?.storage}\n \n handleTabChange(\"features\")}\n >\n {$t.settings?.features || \"Features\"}\n \n handleTabChange(\"automation\")}\n >\n {$t.settings?.automation || \"Automation\"}\n \n
\n\n \n
\n {#if activeTab === \"environments\"}\n \n {:else if activeTab === \"logging\"}\n \n {:else if activeTab === \"connections\"}\n \n {:else if activeTab === \"git\"}\n \n {:else if activeTab === \"llm\"}\n \n {:else if activeTab === \"migration\"}\n \n {:else if activeTab === \"storage\"}\n \n {:else if activeTab === \"features\"}\n \n {:else if activeTab === \"automation\"}\n \n {/if}\n
\n {/if}\n\n\n" + "body": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n \n
\n

\n {$t.settings?.title}\n

\n \n {$t.common?.refresh}\n \n
\n\n \n {#if error}\n \n {error}\n \n {$t.common?.retry}\n \n
\n {/if}\n\n \n {#if isLoading}\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {:else if settings}\n \n
\n handleTabChange(\"environments\")}\n >\n {$t.settings?.environments}\n \n handleTabChange(\"logging\")}\n >\n {$t.settings?.logging}\n \n handleTabChange(\"git\")}\n >\n {$t.nav?.settings_git || $t.nav?.git || \"Git\"}\n \n handleTabChange(\"llm\")}\n >\n {$t.settings?.llm}\n \n handleTabChange(\"migration\")}\n >\n {$t.settings?.migration_sync}\n \n handleTabChange(\"storage\")}\n >\n {$t.settings?.storage}\n \n handleTabChange(\"features\")}\n >\n {$t.settings?.features || \"Features\"}\n \n handleTabChange(\"automation\")}\n >\n {$t.settings?.automation || \"Automation\"}\n \n
\n\n \n
\n {#if activeTab === \"environments\"}\n \n {:else if activeTab === \"logging\"}\n \n {:else if activeTab === \"git\"}\n \n {:else if activeTab === \"llm\"}\n \n {:else if activeTab === \"migration\"}\n \n {:else if activeTab === \"storage\"}\n \n {:else if activeTab === \"features\"}\n \n {:else if activeTab === \"automation\"}\n \n {/if}\n
\n {/if}\n\n\n" }, { "contract_id": "frontend/src/routes/settings/+page.ts::load", @@ -81706,59 +83955,6 @@ "tier_source": "AutoCalculated", "body": "/** @type {import('./$types').PageLoad} */" }, - { - "contract_id": "DatabaseConnectionsTab", - "contract_type": "Component", - "file_path": "frontend/src/routes/settings/DatabaseConnectionsTab.svelte", - "start_line": 1, - "end_line": 342, - "tier": "TIER_2", - "complexity": 3, - "metadata": { - "COMPLEXITY": 3, - "LAYER": "UI", - "POST": "Connections list is displayed; user can create and delete connections.", - "PRE": "API client is initialized.", - "PURPOSE": "Database connections management tab: list, create, delete external DB connections.", - "UX_FEEDBACK": "Toast on create/delete success/failure.", - "UX_STATE": "FormVisible -> Connection creation form displayed." - }, - "relations": [ - { - "source_id": "DatabaseConnectionsTab", - "relation_type": "CALLS", - "target_id": "api_module", - "target_ref": "[api_module]" - } - ], - "schema_warnings": [ - { - "code": "tag_not_for_contract_type", - "tag": "LAYER", - "message": "@LAYER is not allowed for contract type 'Component'", - "detail": { - "actual_type": "Component", - "allowed_types": [ - "Module", - "Skill", - "Agent" - ] - } - }, - { - "code": "tag_forbidden_by_complexity", - "tag": "LAYER", - "message": "@LAYER is forbidden for contract type 'Component' at C3", - "detail": { - "actual_complexity": 3, - "contract_type": "Component" - } - } - ], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n
\n

\n {$t.settings?.connections}\n

\n

\n {$t.settings?.connections_description}\n

\n
\n\n {#if connections.length > 0 || isConnectionFormVisible}\n \n {$t.connections?.add_new}\n \n {/if}\n
\n\n {#if isConnectionFormVisible}\n
\n {\n event.preventDefault();\n handleCreateConnection();\n }}\n >\n
\n {$t.connections?.name}\n \n
\n\n
\n
\n Type\n \n \n \n
\n
\n {$t.connections?.host}\n \n
\n
\n\n
\n
\n {$t.connections?.port}\n \n
\n
\n {$t.connections?.db_name}\n \n
\n
\n\n
\n
\n {$t.connections?.user}\n \n
\n
\n {$t.connections?.pass}\n \n
\n
\n\n
\n \n {$t.common?.cancel}\n \n \n {isSubmittingConnection\n ? ($t.settings?.saving || $t.common?.loading || \"Saving...\")\n : $t.connections?.create}\n \n
\n \n
\n {/if}\n\n {#if isLoadingConnections}\n \n {$t.common?.loading || \"Loading...\"}\n
\n {:else if connections.length > 0}\n
\n \n \n \n {$t.connections?.name}\n {$t.connections?.host}\n {$t.connections?.user}\n {$t.settings?.env_actions || \"Actions\"}\n \n \n \n {#each connections as connection}\n \n \n \n \n \n \n {/each}\n \n
\n {connection.name}\n \n {connection.type}://{connection.host}:{connection.port}/{connection.database}\n \n {connection.username}\n \n handleDeleteConnection(connection.id)}\n >\n {$t.connections?.delete}\n \n
\n
\n {:else if !isConnectionFormVisible}\n \n

\n {$t.settings?.no_external_connections}\n

\n {\n openConnectionForm();\n void loadConnections();\n }}\n >\n {$t.connections?.add_new}\n \n \n {:else}\n \n {$t.connections?.no_saved}\n \n {/if}\n\n\n" - }, { "contract_id": "FeaturesSettings", "contract_type": "Component", @@ -82070,7 +84266,7 @@ "contract_type": "Function", "file_path": "frontend/src/routes/settings/__tests__/settings_page.ux.test.js", "start_line": 1, - "end_line": 217, + "end_line": 214, "tier": "TIER_1", "complexity": 1, "metadata": { @@ -82135,7 +84331,7 @@ ], "anchor_syntax": "region", "tier_source": "AutoCalculated", - "body": "// #region SettingsPageUxTest:Module [TYPE Function]\n// @SEMANTICS: settings, page, ux-tests, save-flow\n// @RELATION: DEPENDS_ON -> [SettingsPage]\n// @PURPOSE: Test UX states and transitions\n// @LAYER: UI (Tests)\n\n\nimport { describe, it, expect, vi, beforeEach } from 'vitest';\nimport { render, screen, fireEvent, waitFor } from '@testing-library/svelte';\nimport SettingsPage from '../+page.svelte';\nimport { api } from '$lib/api';\nimport { addToast } from '$lib/toasts';\n\nvi.mock('$lib/api', () => ({\n api: {\n getConsolidatedSettings: vi.fn(),\n requestApi: vi.fn(),\n putApi: vi.fn(),\n postApi: vi.fn(),\n updateConsolidatedSettings: vi.fn()\n }\n}));\n\nvi.mock('$lib/toasts', () => ({\n addToast: vi.fn()\n}));\n\nvi.mock('$lib/i18n', () => ({\n t: {\n subscribe: (fn) => {\n fn({\n settings: {\n title: 'Settings',\n migration_sync: 'Migration Sync',\n migration_sync_title: 'Cross-Environment ID Synchronization',\n migration_sync_description: 'Sync IDs across environments',\n sync_schedule: 'Sync Schedule',\n sync_now: 'Sync Now',\n syncing: 'Syncing...',\n saving: 'Saving...',\n environments: 'Environments',\n logging: 'Logging',\n logging_description: 'Configure logging',\n log_level: 'Log Level',\n task_log_level: 'Task Log Level',\n enable_belief_state: 'Enable Belief State',\n connections: 'Connections',\n llm: 'LLM',\n storage: 'Storage',\n save_success: 'Settings saved',\n save_failed: 'Failed',\n save_logging: 'Save Logging Config',\n env_description: 'Configure environments',\n load_failed: 'Failed to load settings',\n migration_sync_failed: 'Sync failed'\n },\n common: { refresh: 'Refresh', retry: 'Retry', save: 'Save' },\n tasks: { cron_label: 'Cron Expression', cron_hint: 'Standard cron format' },\n nav: { settings_git: 'Git' },\n connections: { name: 'Name', user: 'User' }\n });\n return () => { };\n }\n },\n _: vi.fn((key) => key)\n}));\n\n// Mock child components\nvi.mock('../../components/llm/ProviderConfig.svelte', () => ({\n default: class ProviderConfigMock {\n constructor(options) {\n options.target.innerHTML = `
`;\n }\n }\n}));\n\ndescribe('SettingsPage UX Contracts', () => {\n const mockSettings = {\n environments: [],\n logging: { level: 'INFO', task_log_level: 'INFO', enable_belief_state: false },\n connections: [],\n llm: {}\n };\n\n const mockMigrationSettings = {\n cron: \"0 2 * * *\"\n };\n\n beforeEach(() => {\n vi.clearAllMocks();\n });\n\n // @UX_STATE: Loading -> Shows skeleton loader\n // @UX_STATE: Loaded -> Shows tabbed settings interface\n it('should transition from Loading to Loaded state', async () => {\n // Delay resolution to capture loading state\n let resolveSettings;\n api.getConsolidatedSettings.mockImplementation(() => new Promise(resolve => {\n resolveSettings = resolve;\n }));\n\n api.requestApi.mockImplementation((url) => {\n if (url === '/migration/settings') return Promise.resolve(mockMigrationSettings);\n if (url.includes('/migration/mappings-data')) return Promise.resolve({ items: [], total: 0 });\n return Promise.resolve({});\n });\n\n render(SettingsPage);\n\n // Assert Loading skeleton is present (by checking for the pulse class)\n // Note: checking for classes used in skeleton\n const skeletonElements = document.querySelectorAll('.animate-pulse');\n expect(skeletonElements.length).toBeGreaterThan(0);\n\n // Resolve the API call\n resolveSettings(mockSettings);\n\n // Assert Loaded state - use getAllByText because 'Environments' may appear\n // both as tab text and section heading on the default tab\n await waitFor(() => {\n expect(screen.getByText('Settings')).toBeTruthy();\n expect(screen.getAllByText('Environments').length).toBeGreaterThan(0);\n });\n });\n\n // @UX_STATE: Error -> Shows error banner with retry button\n it('should show error banner when loading fails', async () => {\n api.getConsolidatedSettings.mockRejectedValue(new Error('Network Error'));\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n\n render(SettingsPage);\n\n await waitFor(() => {\n expect(screen.getByText('Network Error')).toBeTruthy();\n expect(screen.getByText('Retry')).toBeTruthy();\n });\n });\n\n // @UX_RECOVERY: Refresh button reloads settings data\n it('should reload settings data when retry button is clicked', async () => {\n let callCount = 0;\n api.getConsolidatedSettings.mockImplementation(async () => {\n callCount++;\n if (callCount === 1) throw new Error('First call failed');\n return mockSettings;\n });\n\n api.requestApi.mockImplementation((url) => {\n if (url === '/migration/settings') return Promise.resolve(mockMigrationSettings);\n if (url.includes('/migration/mappings-data')) return Promise.resolve({ items: [], total: 0 });\n return Promise.resolve({});\n });\n\n render(SettingsPage);\n\n // Wait for error state\n await waitFor(() => {\n expect(screen.getByText('First call failed')).toBeTruthy();\n });\n\n // Click retry\n const retryBtn = screen.getByText('Retry');\n await fireEvent.click(retryBtn);\n\n // Verify recovery (Loaded state) - use getAllByText because 'Environments'\n // appears both as tab text and section heading\n await waitFor(() => {\n expect(screen.queryByText('First call failed')).toBeNull();\n expect(screen.getAllByText('Environments').length).toBeGreaterThan(0);\n });\n // We expect it to have been called twice (1. initial mount, 2. retry click)\n expect(api.getConsolidatedSettings).toHaveBeenCalledTimes(2);\n });\n\n // @UX_FEEDBACK: Toast notifications on save success/failure\n it('should show success toast when settings are saved', async () => {\n api.getConsolidatedSettings.mockResolvedValue(mockSettings);\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n api.updateConsolidatedSettings.mockResolvedValue({});\n\n render(SettingsPage);\n await waitFor(() => expect(screen.getByText('Settings')).toBeTruthy());\n\n // Navigate to Logging tab where the Save button is\n // 'Logging' appears in both the tab and section heading; use getAllByText\n await fireEvent.click(screen.getAllByText('Logging')[0]);\n\n const saveBtn = screen.getByText('Save Logging Config');\n await fireEvent.click(saveBtn);\n\n await waitFor(() => {\n expect(addToast).toHaveBeenCalledWith('Settings saved', 'success');\n });\n });\n\n it('should show error toast when settings save fails', async () => {\n api.getConsolidatedSettings.mockResolvedValue(mockSettings);\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n api.updateConsolidatedSettings.mockRejectedValue(new Error('Save Error'));\n\n render(SettingsPage);\n await waitFor(() => expect(screen.getByText('Settings')).toBeTruthy());\n\n // Navigate to Logging tab where the Save button is\n // 'Logging' appears in both the tab and section heading; use getAllByText\n await fireEvent.click(screen.getAllByText('Logging')[0]);\n\n const saveBtn = screen.getByText('Save Logging Config');\n await fireEvent.click(saveBtn);\n\n await waitFor(() => {\n expect(addToast).toHaveBeenCalledWith('Failed', 'error');\n });\n });\n});\n\n// #endregion SettingsPageUxTest:Module\n" + "body": "// #region SettingsPageUxTest:Module [TYPE Function]\n// @SEMANTICS: settings, page, ux-tests, save-flow\n// @RELATION: DEPENDS_ON -> [SettingsPage]\n// @PURPOSE: Test UX states and transitions\n// @LAYER: UI (Tests)\n\n\nimport { describe, it, expect, vi, beforeEach } from 'vitest';\nimport { render, screen, fireEvent, waitFor } from '@testing-library/svelte';\nimport SettingsPage from '../+page.svelte';\nimport { api } from '$lib/api';\nimport { addToast } from '$lib/toasts';\n\nvi.mock('$lib/api', () => ({\n api: {\n getConsolidatedSettings: vi.fn(),\n requestApi: vi.fn(),\n putApi: vi.fn(),\n postApi: vi.fn(),\n updateConsolidatedSettings: vi.fn()\n }\n}));\n\nvi.mock('$lib/toasts', () => ({\n addToast: vi.fn()\n}));\n\nvi.mock('$lib/i18n', () => ({\n t: {\n subscribe: (fn) => {\n fn({\n settings: {\n title: 'Settings',\n migration_sync: 'Migration Sync',\n migration_sync_title: 'Cross-Environment ID Synchronization',\n migration_sync_description: 'Sync IDs across environments',\n sync_schedule: 'Sync Schedule',\n sync_now: 'Sync Now',\n syncing: 'Syncing...',\n saving: 'Saving...',\n environments: 'Environments',\n logging: 'Logging',\n logging_description: 'Configure logging',\n log_level: 'Log Level',\n task_log_level: 'Task Log Level',\n enable_belief_state: 'Enable Belief State',\n llm: 'LLM',\n storage: 'Storage',\n save_success: 'Settings saved',\n save_failed: 'Failed',\n save_logging: 'Save Logging Config',\n env_description: 'Configure environments',\n load_failed: 'Failed to load settings',\n migration_sync_failed: 'Sync failed'\n },\n common: { refresh: 'Refresh', retry: 'Retry', save: 'Save' },\n tasks: { cron_label: 'Cron Expression', cron_hint: 'Standard cron format' },\n nav: { settings_git: 'Git' },\n });\n return () => { };\n }\n },\n _: vi.fn((key) => key)\n}));\n\n// Mock child components\nvi.mock('../../components/llm/ProviderConfig.svelte', () => ({\n default: class ProviderConfigMock {\n constructor(options) {\n options.target.innerHTML = `
`;\n }\n }\n}));\n\ndescribe('SettingsPage UX Contracts', () => {\n const mockSettings = {\n environments: [],\n logging: { level: 'INFO', task_log_level: 'INFO', enable_belief_state: false },\n llm: {}\n };\n\n const mockMigrationSettings = {\n cron: \"0 2 * * *\"\n };\n\n beforeEach(() => {\n vi.clearAllMocks();\n });\n\n // @UX_STATE: Loading -> Shows skeleton loader\n // @UX_STATE: Loaded -> Shows tabbed settings interface\n it('should transition from Loading to Loaded state', async () => {\n // Delay resolution to capture loading state\n let resolveSettings;\n api.getConsolidatedSettings.mockImplementation(() => new Promise(resolve => {\n resolveSettings = resolve;\n }));\n\n api.requestApi.mockImplementation((url) => {\n if (url === '/migration/settings') return Promise.resolve(mockMigrationSettings);\n if (url.includes('/migration/mappings-data')) return Promise.resolve({ items: [], total: 0 });\n return Promise.resolve({});\n });\n\n render(SettingsPage);\n\n // Assert Loading skeleton is present (by checking for the pulse class)\n // Note: checking for classes used in skeleton\n const skeletonElements = document.querySelectorAll('.animate-pulse');\n expect(skeletonElements.length).toBeGreaterThan(0);\n\n // Resolve the API call\n resolveSettings(mockSettings);\n\n // Assert Loaded state - use getAllByText because 'Environments' may appear\n // both as tab text and section heading on the default tab\n await waitFor(() => {\n expect(screen.getByText('Settings')).toBeTruthy();\n expect(screen.getAllByText('Environments').length).toBeGreaterThan(0);\n });\n });\n\n // @UX_STATE: Error -> Shows error banner with retry button\n it('should show error banner when loading fails', async () => {\n api.getConsolidatedSettings.mockRejectedValue(new Error('Network Error'));\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n\n render(SettingsPage);\n\n await waitFor(() => {\n expect(screen.getByText('Network Error')).toBeTruthy();\n expect(screen.getByText('Retry')).toBeTruthy();\n });\n });\n\n // @UX_RECOVERY: Refresh button reloads settings data\n it('should reload settings data when retry button is clicked', async () => {\n let callCount = 0;\n api.getConsolidatedSettings.mockImplementation(async () => {\n callCount++;\n if (callCount === 1) throw new Error('First call failed');\n return mockSettings;\n });\n\n api.requestApi.mockImplementation((url) => {\n if (url === '/migration/settings') return Promise.resolve(mockMigrationSettings);\n if (url.includes('/migration/mappings-data')) return Promise.resolve({ items: [], total: 0 });\n return Promise.resolve({});\n });\n\n render(SettingsPage);\n\n // Wait for error state\n await waitFor(() => {\n expect(screen.getByText('First call failed')).toBeTruthy();\n });\n\n // Click retry\n const retryBtn = screen.getByText('Retry');\n await fireEvent.click(retryBtn);\n\n // Verify recovery (Loaded state) - use getAllByText because 'Environments'\n // appears both as tab text and section heading\n await waitFor(() => {\n expect(screen.queryByText('First call failed')).toBeNull();\n expect(screen.getAllByText('Environments').length).toBeGreaterThan(0);\n });\n // We expect it to have been called twice (1. initial mount, 2. retry click)\n expect(api.getConsolidatedSettings).toHaveBeenCalledTimes(2);\n });\n\n // @UX_FEEDBACK: Toast notifications on save success/failure\n it('should show success toast when settings are saved', async () => {\n api.getConsolidatedSettings.mockResolvedValue(mockSettings);\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n api.updateConsolidatedSettings.mockResolvedValue({});\n\n render(SettingsPage);\n await waitFor(() => expect(screen.getByText('Settings')).toBeTruthy());\n\n // Navigate to Logging tab where the Save button is\n // 'Logging' appears in both the tab and section heading; use getAllByText\n await fireEvent.click(screen.getAllByText('Logging')[0]);\n\n const saveBtn = screen.getByText('Save Logging Config');\n await fireEvent.click(saveBtn);\n\n await waitFor(() => {\n expect(addToast).toHaveBeenCalledWith('Settings saved', 'success');\n });\n });\n\n it('should show error toast when settings save fails', async () => {\n api.getConsolidatedSettings.mockResolvedValue(mockSettings);\n api.requestApi.mockResolvedValue(mockMigrationSettings);\n api.updateConsolidatedSettings.mockRejectedValue(new Error('Save Error'));\n\n render(SettingsPage);\n await waitFor(() => expect(screen.getByText('Settings')).toBeTruthy());\n\n // Navigate to Logging tab where the Save button is\n // 'Logging' appears in both the tab and section heading; use getAllByText\n await fireEvent.click(screen.getAllByText('Logging')[0]);\n\n const saveBtn = screen.getByText('Save Logging Config');\n await fireEvent.click(saveBtn);\n\n await waitFor(() => {\n expect(addToast).toHaveBeenCalledWith('Failed', 'error');\n });\n });\n});\n\n// #endregion SettingsPageUxTest:Module\n" }, { "contract_id": "AutomationPage", @@ -82294,25 +84490,6 @@ "tier_source": "AutoCalculated", "body": "\n\n\n\n\n\n
\n
\n
\n

Automation Policies

\n

Manage scheduled validation rules and execution windows.

\n
\n {#if !showForm}\n \n {/if}\n
\n\n {#if showForm}\n
\n
\n \n |\n

\n {selectedPolicy ? 'Edit Policy' : 'New Policy'}\n

\n
\n showForm = false} \n />\n
\n {:else if isLoading}\n
\n
\n
\n {:else}\n
\n
    \n {#each policies as policy}\n
  • \n
    \n
    \n
    \n
    \n
    \n \n \n \n
    \n
    \n
    \n

    {policy.name}

    \n
    \n {getEnvName(policy.environment_id)}\n •\n {policy.dashboard_ids.length} Dashboards\n
    \n
    \n
    \n
    \n \n
    \n \n \n
    \n
    \n
    \n
    \n
    • \n {:else}\n
  • \n \n \n \n

    No policies

    \n

    Get started by creating a new automation policy.

    \n
    \n \n
    \n
    • \n {/each}\n
\n
\n\n {#if translationSchedules.length > 0}\n

Translation Schedules

\n
\n
    \n {#each translationSchedules as ts}\n
  • \n
    \n
    \n
    \n
    \n
    \n \n \n \n
    \n
    \n
    \n

    {ts.job_name}

    \n
    \n {ts.cron_expression}\n •\n {ts.timezone}\n
    \n
    \n
    \n
    \n \n {ts.is_active ? 'Active' : 'Inactive'}\n \n {#if ts.last_run_at}\n \n Last: {new Date(ts.last_run_at).toLocaleString()}\n \n {/if}\n
    \n
    \n
    \n
    • \n {:else}\n
  • \n No translation schedules configured\n
    • \n {/each}\n
\n
\n {/if}\n {/if}\n
\n\n" }, - { - "contract_id": "handleSuccess:Function", - "contract_type": "Function", - "file_path": "frontend/src/routes/settings/connections/+page.svelte", - "start_line": 24, - "end_line": 34, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "POST": "Triggers the fetchConnections method on the list component.", - "PRE": "listComponent must be bound.", - "PURPOSE": "Refreshes the connection list after a successful creation." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": " // #region handleSuccess:Function [TYPE Function]\n /* @PURPOSE: Refreshes the connection list after a successful creation.\n @PRE: listComponent must be bound.\n @POST: Triggers the fetchConnections method on the list component.\n */\n function handleSuccess() {\n if (listComponent) {\n listComponent.fetchConnections();\n }\n }\n // #endregion handleSuccess:Function\n" - }, { "contract_id": "loadConfigs:Function", "contract_type": "Function", @@ -82548,8 +84725,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::readTabFromUrl", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 42, - "end_line": 46, + "start_line": 41, + "end_line": 45, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82563,8 +84740,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::writeTabToUrl", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 52, - "end_line": 56, + "start_line": 51, + "end_line": 55, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82578,8 +84755,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::normalizeTab", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 64, - "end_line": 68, + "start_line": 63, + "end_line": 67, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82593,8 +84770,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::normalizeLlmSettings", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 78, - "end_line": 82, + "start_line": 77, + "end_line": 81, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82608,8 +84785,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::isDashboardValidationBindingValid", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 99, - "end_line": 107, + "start_line": 98, + "end_line": 106, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82623,8 +84800,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::getProviderById", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 115, - "end_line": 118, + "start_line": 114, + "end_line": 117, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82638,8 +84815,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::normalizeSupersetBaseUrl", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 128, - "end_line": 133, + "start_line": 127, + "end_line": 132, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82653,8 +84830,8 @@ "contract_id": "frontend/src/routes/settings/settings-utils.js::resolveEnvStage", "contract_type": "Function", "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 146, - "end_line": 150, + "start_line": 145, + "end_line": 149, "tier": "TIER_1", "complexity": 1, "metadata": {}, @@ -82664,21 +84841,6 @@ "tier_source": "AutoCalculated", "body": "/**\n * Classify an environment's deployment stage from its `name` or `url`.\n * Returns one of: `\"PROD\"`, `\"PREPROD\"`, or `\"DEV\"`.\n */" }, - { - "contract_id": "frontend/src/routes/settings/settings-utils.js::createEmptyConnectionDraft", - "contract_type": "Function", - "file_path": "frontend/src/routes/settings/settings-utils.js", - "start_line": 162, - "end_line": 165, - "tier": "TIER_1", - "complexity": 1, - "metadata": {}, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "jsdoc", - "tier_source": "AutoCalculated", - "body": "/**\n * Create a blank connection object suitable for the \"new connection\" form.\n */" - }, { "contract_id": "StorageIndexPage", "contract_type": "Page", @@ -84066,6 +86228,583 @@ "tier_source": "AutoCalculated", "body": "\n\n\n
\n\t
\n\t\t
\n\t\t\t

{$t.translate?.history?.title}

\n\t\t\t

{$t.translate?.history?.subtitle}

\n\t\t
\n\t\t\n\t
\n\n\t\n\t{#if totalMetric()}\n\t\t
\n\t\t\t
\n\t\t\t\t

{$t.translate?.history?.total_runs}

\n\t\t\t\t

{totalMetric().total_runs}

\n\t\t\t
\n\t\t\t
\n\t\t\t\t

{$t.translate?.history?.successful}

\n\t\t\t\t

{totalMetric().successful_runs}

\n\t\t\t
\n\t\t\t
\n\t\t\t\t

{$t.translate?.history?.failed}

\n\t\t\t\t

{totalMetric().failed_runs}

\n\t\t\t
\n\t\t\t
\n\t\t\t\t

{$t.translate?.history?.records}

\n\t\t\t\t

{totalMetric().total_records}

\n\t\t\t
\n\t\t
\n\t{/if}\n\n\t\n\t
\n\t\t
\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t
\n\t
\n\n\t\n\t{#if isLoading}\n\t\t
\n\t\t\t{#each Array(5) as _}\n\t\t\t\t
\n\t\t\t{/each}\n\t\t
\n\n\t\n\t{:else if uxState === 'empty'}\n\t\t
\n\t\t\t\n\t\t\t\t\n\t\t\t\n\t\t\t

{$t.translate?.history?.no_runs}

\n\t\t\t

{$t.translate?.history?.no_runs_hint}

\n\t\t
\n\n\t\n\t{:else if uxState === 'populated' || uxState === 'detail_open'}\n\t\t
\n\t\t\t{#each runs as run}\n\t\t\t\t openDetail(run)}\n\t\t\t\t\tclass=\"bg-white border border-gray-200 rounded-lg p-3 hover:shadow-sm hover:border-gray-300 transition-all cursor-pointer\"\n\t\t\t\t>\n\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t{getJobName(run.job_id)}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t{run.status}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t{#if run.trigger_type}\n\t\t\t\t\t\t\t\t\t{run.trigger_type}\n\t\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t{run.created_at ? new Date(run.created_at).toLocaleString() : ''}\n\t\t\t\t\t\t\t\t{_('translate.history.records_label').replace('{count}', run.total_records || 0)}\n\t\t\t\t\t\t\t\t{_('translate.history.ok_label').replace('{count}', run.successful_records || 0)}\n\t\t\t\t\t\t\t\t{_('translate.history.fail_label').replace('{count}', run.failed_records || 0)}\n\t\t\t\t\t\t\t\t{#if run.created_by}\n\t\t\t\t\t\t\t\t\t{_('translate.history.by_label').replace('{user}', run.created_by)}\n\t\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t{#if run.target_languages && run.target_languages.length > 0}\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t{#each run.target_languages as lang}\n\t\t\t\t\t\t\t\t\t\t{lang}\n\t\t\t\t\t\t\t\t\t{/each}\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
e.stopPropagation()}>\n\t\t\t\t\t\t\t{#if run.status === 'PENDING' || run.status === 'RUNNING'}\n\t\t\t\t\t\t\t\t handleCancelRun(run.id)}\n\t\t\t\t\t\t\t\t\tdisabled={cancellingRunId === run.id}\n\t\t\t\t\t\t\t\t\tclass=\"px-2 py-1 text-xs bg-red-100 text-red-700 rounded hover:bg-red-200 disabled:opacity-50 transition-colors\"\n\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t{cancellingRunId === run.id\n\t\t\t\t\t\t\t\t\t\t? ($t.translate?.run?.cancelling || '...')\n\t\t\t\t\t\t\t\t\t\t: ($t.translate?.run?.cancel || 'Cancel')}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t{#if run.status === 'FAILED'}\n\t\t\t\t\t\t\t\t handleRetryRun(run.id)}\n\t\t\t\t\t\t\t\t\tdisabled={retryingRunId === run.id}\n\t\t\t\t\t\t\t\t\tclass=\"px-2 py-1 text-xs bg-amber-100 text-amber-700 rounded hover:bg-amber-200 disabled:opacity-50 transition-colors\"\n\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t{retryingRunId === run.id\n\t\t\t\t\t\t\t\t\t\t? ($t.translate?.run?.retrying || '...')\n\t\t\t\t\t\t\t\t\t\t: ($t.translate?.run?.retry_failed || 'Retry')}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t{#if run.status === 'COMPLETED' && (run.skipped_records || 0) > 0}\n\t\t\t\t\t\t\t\t handleDownloadSkipped(run.id)}\n\t\t\t\t\t\t\t\t\tclass=\"text-xs text-primary hover:text-primary-hover\"\n\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t{$t.translate?.history?.skipped_csv}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t
\n\t\t\t{/each}\n\t\t
\n\n\t\t\n\t\t
\n\t\t\t

{_('translate.history.showing').replace('{count}', runs.length).replace('{total}', total)}

\n\t\t\t
\n\t\t\t\t { currentPage--; loadRuns(); }}\n\t\t\t\t\tdisabled={currentPage <= 1}\n\t\t\t\t\tclass=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50\"\n\t\t\t\t>\n\t\t\t\t\t{$t.translate?.history?.previous}\n\t\t\t\t\n\t\t\t\t { currentPage++; loadRuns(); }}\n\t\t\t\t\tdisabled={currentPage * pageSize >= total}\n\t\t\t\t\tclass=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50\"\n\t\t\t\t>\n\t\t\t\t\t{$t.translate?.history?.next}\n\t\t\t\t\n\t\t\t
\n\t\t
\n\t{/if}\n\n\t\n\t{#if uxState === 'detail_open' && selectedRunDetail}\n\t\t
\n\t\t
\n\t\t\t
\n\t\t\t\t
\n\t\t\t\t\t

{$t.translate?.history?.run_detail}

\n\t\t\t\t\t\n\t\t\t\t
\n\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.status}

\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t{selectedRunDetail.status}\n\t\t\t\t\t\t\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.trigger}

\n\t\t\t\t\t\t

{selectedRunDetail.trigger_type || 'manual'}

\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.started}

\n\t\t\t\t\t\t

{selectedRunDetail.started_at ? new Date(selectedRunDetail.started_at).toLocaleString() : '-'}

\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.completed}

\n\t\t\t\t\t\t

{selectedRunDetail.completed_at ? new Date(selectedRunDetail.completed_at).toLocaleString() : '-'}

\n\t\t\t\t\t
\n\t\t\t\t
\n\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{selectedRunDetail.total_records || 0}

\n\t\t\t\t\t\t

{$t.translate?.history?.total}

\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{selectedRunDetail.successful_records || 0}

\n\t\t\t\t\t\t

{$t.translate?.history?.success}

\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{selectedRunDetail.failed_records || 0}

\n\t\t\t\t\t\t

{$t.translate?.history?.failed}

\n\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t\t\t

{selectedRunDetail.skipped_records || 0}

\n\t\t\t\t\t\t

{$t.translate?.history?.skipped}

\n\t\t\t\t\t
\n\t\t\t\t
\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.language_stats && Object.keys(selectedRunDetail.language_stats).length > 0}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.run?.per_language}

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{#each Object.entries(selectedRunDetail.language_stats) as [lang, stats]}\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t{lang}\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t{_('translate.run.translated_label').replace('{count}', stats.translated_rows)}\n\t\t\t\t\t\t\t\t\t\t{_('translate.run.failed_label').replace('{count}', stats.failed_rows)}\n\t\t\t\t\t\t\t\t\t\t{_('translate.run.skipped_label').replace('{count}', stats.skipped_rows)}\n\t\t\t\t\t\t\t\t\t\t{_('translate.run.tokens_label').replace('{count}', stats.token_count)}\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{/each}\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\n\t\t\t\t\n\t\t\t\t
\n\t\t\t\t\t{#if selectedRunDetail.status === 'PENDING' || selectedRunDetail.status === 'RUNNING'}\n\t\t\t\t\t\t handleCancelRun(selectedRunDetail.id)}\n\t\t\t\t\t\t\tdisabled={cancellingRunId === selectedRunDetail.id}\n\t\t\t\t\t\t\tclass=\"px-4 py-2 text-sm bg-destructive text-white rounded-lg hover:bg-destructive-hover disabled:opacity-50 disabled:cursor-not-allowed transition-colors\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t{cancellingRunId === selectedRunDetail.id\n\t\t\t\t\t\t\t\t? ($t.translate?.run?.cancelling || 'Cancelling...')\n\t\t\t\t\t\t\t\t: ($t.translate?.run?.cancel || 'Cancel')}\n\t\t\t\t\t\t\n\t\t\t\t\t{/if}\n\t\t\t\t\t{#if selectedRunDetail.status === 'FAILED'}\n\t\t\t\t\t\t handleRetryRun(selectedRunDetail.id)}\n\t\t\t\t\t\t\tdisabled={retryingRunId === selectedRunDetail.id}\n\t\t\t\t\t\t\tclass=\"px-4 py-2 text-sm bg-amber-600 text-white rounded-lg hover:bg-amber-700 disabled:opacity-50 disabled:cursor-not-allowed transition-colors\"\n\t\t\t\t\t\t>\n\t\t\t\t\t\t\t{retryingRunId === selectedRunDetail.id\n\t\t\t\t\t\t\t\t? ($t.translate?.run?.retrying || 'Retrying...')\n\t\t\t\t\t\t\t\t: ($t.translate?.run?.retry_failed || 'Retry Failed')}\n\t\t\t\t\t\t\n\t\t\t\t\t{/if}\n\t\t\t\t
\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.config_snapshot}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.config_snapshot}

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t
{JSON.stringify(selectedRunDetail.config_snapshot, null, 2)}
\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.config_hash || selectedRunDetail.dict_snapshot_hash}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.snapshots}

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{#if selectedRunDetail.config_hash}\n\t\t\t\t\t\t\t\t
Config: {selectedRunDetail.config_hash}
\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t{#if selectedRunDetail.dict_snapshot_hash}\n\t\t\t\t\t\t\t\t
Dict: {selectedRunDetail.dict_snapshot_hash}
\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t\t{#if selectedRunDetail.key_hash}\n\t\t\t\t\t\t\t\t
Key: {selectedRunDetail.key_hash}
\n\t\t\t\t\t\t\t{/if}\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.events && selectedRunDetail.events.length > 0}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.events.replace('{count}', selectedRunDetail.events.length)}

\n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{#each selectedRunDetail.events as evt}\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t{evt.event_type}\n\t\t\t\t\t\t\t\t\t|\n\t\t\t\t\t\t\t\t\t{evt.created_at ? new Date(evt.created_at).toLocaleString() : ''}\n\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t{/each}\n\t\t\t\t\t\t
\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.error_message}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.error}

\n\t\t\t\t\t\t

{selectedRunDetail.error_message}

\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\n\t\t\t\t\n\t\t\t\t{#if selectedRunDetail.superset_execution_id}\n\t\t\t\t\t
\n\t\t\t\t\t\t

{$t.translate?.history?.superset_query_id}

\n\t\t\t\t\t\t

{selectedRunDetail.superset_execution_id}

\n\t\t\t\t\t
\n\t\t\t\t{/if}\n\t\t\t
\n\t\t
\n\t{/if}\n
\n\n" }, + { + "contract_id": "ValidationTaskList", + "contract_type": "Page", + "file_path": "frontend/src/routes/validation/+page.svelte", + "start_line": 1, + "end_line": 399, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "PARAM": "{string} status", + "PURPOSE": "Validation task list page with status filter, task cards, and create/duplicate/delete actions.", + "RATIONALE": "Card layout chosen over table because tasks have rich metadata (schedule, provider, last run status, environment) that does not fit into table columns without excessive horizontal scrolling.", + "REJECTED": "Table view for task list rejected — dashboard_id + environment_id + provider_id + schedule + last_run_status creates too many columns for a table; cards show all metadata vertically.", + "TYPE": "{'idle'|'loading'|'empty'|'populated'|'error'|'filtered_empty'}", + "UX_STATE": "Populated -> Task cards grid" + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "unknown_tag", + "tag": "PARAM", + "message": "@PARAM is not defined in axiom_config.yaml tags", + "detail": null + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "RATIONALE", + "message": "@RATIONALE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RATIONALE", + "message": "@RATIONALE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "REJECTED", + "message": "@REJECTED is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "REJECTED", + "message": "@REJECTED is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "invalid_enum_value", + "tag": "TYPE", + "message": "@TYPE value '{'idle'|'loading'|'empty'|'populated'|'error'|'filtered_empty'}' is not in allowed enum", + "detail": { + "allowed": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Tombstone", + "Skill", + "Agent" + ], + "value": "{'idle'|'loading'|'empty'|'populated'|'error'|'filtered_empty'}" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_STATE", + "message": "@UX_STATE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_STATE", + "message": "@UX_STATE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n
\n
\n
\n

{$t.validation?.tasks_title || 'Validation Tasks'}

\n

{$t.validation?.last_run_status || 'Monitor and validate dashboard quality'}

\n
\n \n \n \n \n {$t.validation?.new_task || 'New Task'}\n \n
\n\n \n
\n {#each statusPills as pill (pill.value)}\n filterByStatus(pill.value)}\n class=\"px-3 py-1.5 text-sm rounded-full border transition-colors\n {statusFilter === pill.value\n ? 'bg-blue-50 border-blue-300 text-blue-700'\n : 'bg-white border-gray-200 text-gray-600 hover:border-gray-300'}\"\n >\n {pill.label}\n ({pill.count})\n \n {/each}\n
\n\n \n {#if isLoading}\n
\n {#each Array(3) as _, i (i)}\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n {/each}\n
\n\n \n {:else if uxState === 'error'}\n
\n

{error}

\n \n {$t.validation?.retry || 'Retry'}\n \n
\n\n \n {:else if uxState === 'empty'}\n
\n \n \n \n

{$t.validation?.no_tasks || 'No validation tasks yet. Create your first task to start monitoring dashboards.'}

\n \n {$t.validation?.create_task_cta || 'Create Task'}\n \n
\n\n \n {:else if uxState === 'filtered_empty'}\n
\n \n \n \n

{$t.validation?.no_tasks_filtered || 'No tasks match your filters.'}

\n filterByStatus('')}\n class=\"text-blue-600 hover:text-blue-700 text-sm font-medium\"\n >\n {$t.validation?.clear_filters || 'Clear filters'}\n \n
\n\n \n {:else if uxState === 'populated'}\n
\n {#each tasks as task (task.id)}\n \n handleNavToConfig(task.id)}\n onkeydown={(e) => { if (e.key === 'Enter') handleNavToConfig(task.id); }}\n role=\"button\"\n tabindex=\"0\"\n class=\"bg-white border border-gray-200 rounded-xl p-4 hover:shadow-md hover:border-gray-300 transition-all cursor-pointer\"\n >\n
\n
\n
\n

{task.name}

\n \n {task.is_active !== false ? ($t.validation?.active || 'Active') : ($t.validation?.inactive || 'Inactive')}\n \n
\n
\n {#if task.dashboard_id}\n \n {$t.validation?.dashboard || 'Dashboard'}: {task.dashboard_id?.substring(0, 16)}...\n \n {/if}\n {#if task.environment_id}\n {$t.validation?.environment || 'Env'}: {task.environment_id?.substring(0, 12)}...\n {/if}\n {#if task.last_run_status}\n \n {$t.validation?.last_run || 'Last run'}:\n \n {task.last_run_status}\n \n \n {/if}\n {#if task.last_run_at}\n {new Date(task.last_run_at).toLocaleString()}\n {/if}\n {#if task.provider_id}\n {$t.validation?.provider || 'LLM'}: {task.provider_id?.substring(0, 12)}...\n {/if}\n {#if task.schedule_days?.length}\n \n {$t.validation?.scheduled || 'Scheduled'}\n \n {:else}\n \n {$t.validation?.manual_only || 'Manual only'}\n \n {/if}\n
\n
\n \n
e.stopPropagation()}>\n handleRunNow(task.id)}\n disabled={runningTasks[task.id]}\n class=\"p-2 text-gray-400 hover:text-blue-600 rounded-lg hover:bg-blue-50 transition-colors disabled:opacity-50\"\n title={$t.validation?.run_now || 'Run Now'}\n >\n \n \n \n \n \n handleDuplicate(task.id)}\n class=\"p-2 text-gray-400 hover:text-blue-600 rounded-lg hover:bg-blue-50 transition-colors\"\n title={$t.validation?.duplicate_task || 'Duplicate'}\n >\n \n \n \n \n {#if showDeleteConfirm === task.id}\n
\n handleDelete(task.id)}\n class=\"px-2 py-1 text-xs bg-red-600 text-white rounded hover:bg-red-700\"\n >\n {$t.validation?.confirm_delete || 'Delete'}\n \n { showDeleteConfirm = null; deleteWithRuns = false; }}\n class=\"px-2 py-1 text-xs bg-gray-200 text-gray-700 rounded hover:bg-gray-300\"\n >\n {$t.validation?.cancel_delete || 'Cancel'}\n \n
\n {:else}\n { showDeleteConfirm = task.id; deleteWithRuns = false; }}\n class=\"p-2 text-gray-400 hover:text-red-600 rounded-lg hover:bg-red-50 transition-colors\"\n title={$t.common?.delete || 'Delete'}\n >\n \n \n \n \n {/if}\n
\n
\n {#if showDeleteConfirm === task.id}\n
\n \n
\n {/if}\n
\n {/each}\n
\n\n \n {#if total > pageSize}\n
\n

\n {($t.validation?.showing || 'Showing {count} of {total}')\n .replace('{count}', String(tasks.length))\n .replace('{total}', String(total))}\n

\n
\n { currentPage--; loadTasks(); }}\n disabled={currentPage <= 1}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.previous || 'Previous'}\n \n { currentPage++; loadTasks(); }}\n disabled={currentPage * pageSize >= total}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.next || 'Next'}\n \n
\n
\n {/if}\n {/if}\n\n\n" + }, + { + "contract_id": "ValidationTaskConfig", + "contract_type": "Page", + "file_path": "frontend/src/routes/validation/[id]/+page.svelte", + "start_line": 1, + "end_line": 699, + "tier": "TIER_2", + "complexity": 4, + "metadata": { + "COMPLEXITY": 4, + "PURPOSE": "Validation task configuration page with Config and History tabs. Handles new and edit modes.", + "RATIONALE": "2-tab design separates task configuration from run history — users can edit settings (name, dashboard, provider, schedule) without scrolling past potentially long run history data.", + "REJECTED": "Single scrollable page with config above history rejected — task config form is long (Basic Info + Dashboard & Environment + LLM Provider + Schedule + Active toggle); history would be pushed far below the fold.", + "TYPE": "{'idle'|'loading'|'configured'|'saving'|'error'|'not_found'}", + "UX_FEEDBACK": "Toast notifications on save/run/delete actions", + "UX_REACTIVITY": "Props -> $props(), URL params -> $page.params, LocalState -> $state(...)", + "UX_RECOVERY": "Retry button on load errors, Go Back on not found", + "UX_STATE": "Configured -> Form with Save/Cancel/Run Now buttons" + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "RATIONALE", + "message": "@RATIONALE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RATIONALE", + "message": "@RATIONALE is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "REJECTED", + "message": "@REJECTED is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "REJECTED", + "message": "@REJECTED is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "invalid_enum_value", + "tag": "TYPE", + "message": "@TYPE value '{'idle'|'loading'|'configured'|'saving'|'error'|'not_found'}' is not in allowed enum", + "detail": { + "allowed": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Tombstone", + "Skill", + "Agent" + ], + "value": "{'idle'|'loading'|'configured'|'saving'|'error'|'not_found'}" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_FEEDBACK", + "message": "@UX_FEEDBACK is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_FEEDBACK", + "message": "@UX_FEEDBACK is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_REACTIVITY", + "message": "@UX_REACTIVITY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_REACTIVITY", + "message": "@UX_REACTIVITY is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_RECOVERY", + "message": "@UX_RECOVERY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_RECOVERY", + "message": "@UX_RECOVERY is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_STATE", + "message": "@UX_STATE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_STATE", + "message": "@UX_STATE is forbidden for contract type 'Page' at C4", + "detail": { + "actual_complexity": 4, + "contract_type": "Page" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n {pageTitle}\n\n\n
\n \n
\n
\n

\n {isNewTask ? ($t.validation?.new_task || 'New Validation Task') : ($t.validation?.edit_task || 'Edit Validation Task')}\n

\n {#if !isNewTask && task}\n

{$t.validation?.created_at || 'Created'}: {new Date(task.created_at || task.created_on).toLocaleString()}

\n {/if}\n
\n
\n {#if !isNewTask}\n \n {#if isRunning}\n \n \n \n \n {$t.validation?.running || 'Running...'}\n {:else}\n {$t.validation?.run_now || 'Run Now'}\n {/if}\n \n {/if}\n \n {$t.validation?.cancel || 'Cancel'}\n \n \n {isSaving ? ($t.validation?.saving || 'Saving...') : ($t.validation?.save || 'Save')}\n \n
\n
\n\n \n {#if uxState === 'loading'}\n
\n
\n
\n
\n
\n
\n
\n
\n
\n\n \n {:else if uxState === 'error'}\n
\n

{error || $t.validation?.load_task_failed || 'Failed to load task.'}

\n
\n \n {$t.validation?.retry || 'Retry'}\n \n \n {$t.validation?.back || 'Back'}\n \n
\n
\n\n \n {:else if uxState === 'not_found'}\n
\n

{$t.validation?.task_not_found || 'Task not found'}

\n

{$t.validation?.task_not_found_desc || 'The task you are looking for does not exist or has been deleted.'}

\n \n {$t.validation?.go_back || 'Go back'}\n \n
\n\n \n {:else if uxState === 'configured' || uxState === 'saving'}\n \n
\n \n
\n\n \n {#if !isNewTask && providerId && !isProviderMultimodal}\n
\n

\n \n \n \n {$t.validation?.provider_multimodal_required || 'Dashboard validation requires a multimodal LLM provider (supports images).'}\n

\n
\n {/if}\n\n \n {#if activeTab === 'config'}\n
\n \n
\n

{$t.validation?.task_name || 'Basic Info'}

\n
\n
\n \n \n {#if validationErrors.name}\n

{validationErrors.name}

\n {/if}\n
\n
\n
\n\n \n
\n

{$t.validation?.dashboard || 'Dashboard & Environment'}

\n
\n
\n \n { dashboardId = ''; searchDashboards(''); }}\n class=\"w-full px-3 py-2 border rounded-lg text-sm {validationErrors.environment_id ? 'border-red-300 bg-red-50' : 'border-gray-300'}\"\n >\n \n {#each environments as env (env.id)}\n \n {/each}\n \n {#if validationErrors.environment_id}\n

{validationErrors.environment_id}

\n {/if}\n
\n
\n \n \n \n {#each dashboards as d (d.id)}\n \n {/each}\n \n {#if validationErrors.dashboard_id}\n

{validationErrors.dashboard_id}

\n {/if}\n {#if dashboardsLoading}\n

Loading...

\n {/if}\n
\n
\n
\n\n \n
\n

{$t.validation?.llm_provider || 'LLM Provider'}

\n
\n \n \n \n {#each llmProviders as p (p.id)}\n \n {/each}\n \n {#if validationErrors.provider_id}\n

{validationErrors.provider_id}

\n {/if}\n {#if providerId && !isProviderMultimodal}\n

\n \n \n \n {$t.validation?.provider_multimodal_required || 'Dashboard validation requires a multimodal LLM provider.'}\n

\n {/if}\n
\n
\n\n \n
\n
\n

{$t.validation?.schedule || 'Schedule'}

\n (showSchedule = !showSchedule)}\n class=\"text-sm text-blue-600 hover:text-blue-700 font-medium\"\n >\n {showSchedule\n ? ($t.validation?.schedule_collapse || 'Hide schedule')\n : ($t.validation?.schedule_expand || 'Configure schedule')}\n \n
\n\n {#if !showSchedule}\n

{$t.validation?.manual_only || 'Manual only — runs triggered by user.'}

\n {:else}\n
\n
\n \n \n
\n {#each DAY_LABELS as day, idx (day)}\n toggleDay(idx)}\n class=\"px-3 py-1.5 text-sm rounded-lg border transition-colors\n {scheduleDays.includes(idx)\n ? 'bg-blue-100 border-blue-300 text-blue-700'\n : 'bg-white border-gray-200 text-gray-600 hover:border-gray-300'}\"\n >\n {$t.validation?.[DAY_KEYS[idx]] || day}\n \n {/each}\n
\n
\n\n
\n
\n \n \n
\n
\n \n \n
\n
\n
\n {/if}\n
\n\n \n
\n \n
\n
\n\n \n {:else if activeTab === 'history'}\n
\n {#if runsLoading}\n
\n {#each Array(3) as _, i (i)}\n
\n {/each}\n
\n {:else if runs.length === 0}\n
\n

{$t.validation?.run_history_empty || 'No runs for this task yet.'}

\n
\n {:else}\n
\n \n \n \n \n \n \n \n \n \n \n \n {#each runs as run (run.id)}\n \n \n \n \n \n \n \n {/each}\n \n
{$t.validation?.status || 'Status'}{$t.validation?.summary || 'Summary'}{$t.validation?.issues || 'Issues'}{$t.validation?.timestamp || 'Timestamp'}{$t.validation?.actions || 'Actions'}
\n \n {run.status || 'UNKNOWN'}\n \n \n {run.summary || '-'}\n \n {run.issues_count ?? run.issues ?? '-'}\n \n {run.created_at || run.completed_at ? new Date(run.created_at || run.completed_at).toLocaleString() : '-'}\n \n handleNavToReport(run.task_id)}\n class=\"text-blue-600 hover:text-blue-700 text-sm font-medium\"\n >\n {$t.validation?.view_report || 'View Report'}\n \n
\n
\n\n \n {#if runsTotal > runsPageSize}\n
\n

\n {($t.validation?.showing || 'Showing {count} of {total}')\n .replace('{count}', String(runs.length))\n .replace('{total}', String(runsTotal))}\n

\n
\n { runsPage--; loadRunHistory(); }}\n disabled={runsPage <= 1}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.previous || 'Previous'}\n \n { runsPage++; loadRunHistory(); }}\n disabled={runsPage * runsPageSize >= runsTotal}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.next || 'Next'}\n \n
\n
\n {/if}\n {/if}\n
\n {/if}\n {/if}\n
\n\n" + }, + { + "contract_id": "ValidationHistory", + "contract_type": "Page", + "file_path": "frontend/src/routes/validation/history/+page.svelte", + "start_line": 1, + "end_line": 405, + "tier": "TIER_2", + "complexity": 3, + "metadata": { + "COMPLEXITY": 3, + "PURPOSE": "Validation run history page with filters, metrics summary, and run cards.", + "RATIONALE": "Filter-driven design with 6 filter dimensions (task, status, dashboard, environment, date from/to) allows users to narrow runs for debugging — essential when hundreds of runs accumulate over time.", + "REJECTED": "Unfiltered chronological list rejected — users need to filter by task/status/environment to find relevant runs among hundreds; without filters the page is unusable at scale.", + "TYPE": "{'idle'|'loading'|'empty'|'filtered_empty'|'populated'|'error'}", + "UX_STATE": "Populated -> Metrics grid + run cards + pagination" + }, + "relations": [], + "schema_warnings": [ + { + "code": "tag_not_for_contract_type", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "COMPLEXITY", + "message": "@COMPLEXITY is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "PURPOSE", + "message": "@PURPOSE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "PURPOSE", + "message": "@PURPOSE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "RATIONALE", + "message": "@RATIONALE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "RATIONALE", + "message": "@RATIONALE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "REJECTED", + "message": "@REJECTED is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Skill", + "Agent" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "REJECTED", + "message": "@REJECTED is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + }, + { + "code": "invalid_enum_value", + "tag": "TYPE", + "message": "@TYPE value '{'idle'|'loading'|'empty'|'filtered_empty'|'populated'|'error'}' is not in allowed enum", + "detail": { + "allowed": [ + "Module", + "Function", + "Class", + "Component", + "Block", + "ADR", + "Tombstone", + "Skill", + "Agent" + ], + "value": "{'idle'|'loading'|'empty'|'filtered_empty'|'populated'|'error'}" + } + }, + { + "code": "tag_not_for_contract_type", + "tag": "UX_STATE", + "message": "@UX_STATE is not allowed for contract type 'Page'", + "detail": { + "actual_type": "Page", + "allowed_types": [ + "Component" + ] + } + }, + { + "code": "tag_forbidden_by_complexity", + "tag": "UX_STATE", + "message": "@UX_STATE is forbidden for contract type 'Page' at C3", + "detail": { + "actual_complexity": 3, + "contract_type": "Page" + } + } + ], + "anchor_syntax": "region", + "tier_source": "AutoCalculated", + "body": "\n\n\n\n\n\n\n\n\n\n\n
\n
\n
\n

{$t.validation?.history_title || 'Validation History'}

\n

{$t.validation?.last_run || 'Review past validation runs'}

\n
\n { currentPage = 1; applyFilters(); }}\n class=\"px-4 py-2 text-sm text-white bg-blue-600 rounded-lg hover:bg-blue-700 transition-colors\"\n >\n \n \n \n {$t.common?.refresh || 'Refresh'}\n \n
\n\n \n
\n
\n \n \n \n \n \n \n
\n \n {$t.validation?.apply || 'Apply'}\n \n \n \n \n \n \n
\n
\n
\n\n \n {#if isLoading}\n
\n
\n {#each Array(3) as _, i (i)}\n
\n {/each}\n
\n\n \n {:else if uxState === 'error'}\n
\n

{error}

\n \n {$t.validation?.retry || 'Retry'}\n \n
\n\n \n {:else if uxState === 'empty'}\n
\n \n \n \n

{$t.validation?.no_runs || 'No validation runs yet. Create a task and run it.'}

\n
\n\n \n {:else if uxState === 'filtered_empty'}\n
\n \n \n \n

{$t.validation?.no_runs_filtered || 'No runs match your filters.'}

\n \n {$t.validation?.clear_filters || 'Clear filters'}\n \n
\n\n \n {:else if uxState === 'populated'}\n \n
\n
\n

{$t.validation?.total_runs || 'Total runs'}

\n

{totalRuns}

\n
\n
\n

{$t.validation?.passed || 'Passed'}

\n

{passedCount}

\n
\n
\n

{$t.validation?.failed || 'Failed'}

\n

{failedCount}

\n
\n
\n

{$t.validation?.warn_rate || 'Warn rate'}

\n

{warnRate}%

\n
\n
\n\n \n
\n {#each runs as run (run.id)}\n
\n
\n
\n
\n {getTaskName(run.task_id)}\n \n {run.status || 'UNKNOWN'}\n \n {#if Array.isArray(run.issues) && run.issues.length > 0}\n \n {$t.validation?.issues || 'Issues'}: {run.issues.length}\n \n {/if}\n
\n {#if run.summary}\n

{run.summary}

\n {/if}\n
\n {run.created_at ? new Date(run.created_at).toLocaleString() : '-'}\n {$t.validation?.dashboard || 'Dashboard'}: {run.dashboard_id || getTaskName(run.task_id)}\n
\n
\n
e.stopPropagation()}>\n handleNavToReport(run.task_id)}\n class=\"px-3 py-1.5 text-xs text-blue-600 hover:text-blue-700 font-medium rounded-lg hover:bg-blue-50 transition-colors\"\n >\n {$t.validation?.view_report || 'View Report'}\n \n {#if showDeleteConfirm === run.id}\n
\n handleDeleteRun(run.id)}\n class=\"px-2 py-1 text-xs bg-red-600 text-white rounded hover:bg-red-700\"\n >\n {$t.validation?.confirm_delete || 'Delete'}\n \n (showDeleteConfirm = null)}\n class=\"px-2 py-1 text-xs bg-gray-200 text-gray-700 rounded hover:bg-gray-300\"\n >\n {$t.validation?.cancel_delete || 'Cancel'}\n \n
\n {:else}\n (showDeleteConfirm = run.id)}\n class=\"p-2 text-gray-400 hover:text-red-600 rounded-lg hover:bg-red-50 transition-colors\"\n title={$t.common?.delete || 'Delete'}\n >\n \n \n \n \n {/if}\n
\n
\n
\n {/each}\n
\n\n \n
\n

\n {($t.validation?.showing || 'Showing {count} of {total}')\n .replace('{count}', String(runs.length))\n .replace('{total}', String(total))}\n

\n
\n { currentPage--; loadRuns(); }}\n disabled={currentPage <= 1}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.previous || 'Previous'}\n \n { currentPage++; loadRuns(); }}\n disabled={currentPage * pageSize >= total}\n class=\"px-3 py-1.5 text-sm border border-gray-200 rounded-lg disabled:opacity-50 hover:bg-gray-50\"\n >\n {$t.validation?.next || 'Next'}\n \n
\n
\n {/if}\n
\n\n" + }, { "contract_id": "GitServiceContractTests", "contract_type": "Module", @@ -85017,180 +87756,6 @@ "tier_source": "AutoCalculated", "body": "/**\n * @purpose Updates logging configuration.\n * @param {Object} configData - Logging config (level, task_log_level, enable_belief_state).\n * @returns {Promise}\n * @relation CALLS -> backend.src.api.routes.settings.update_logging_config\n */" }, - { - "contract_id": "ConnectionService", - "contract_type": "Service", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 1, - "end_line": 54, - "tier": "TIER_1", - "complexity": 2, - "metadata": { - "COMPLEXITY": 2, - "PURPOSE": "Service for Connection Management API — list, create, and delete connection configurations." - }, - "relations": [], - "schema_warnings": [ - { - "code": "tag_not_for_contract_type", - "tag": "COMPLEXITY", - "message": "@COMPLEXITY is not allowed for contract type 'Service'", - "detail": { - "actual_type": "Service", - "allowed_types": [ - "Module", - "Function", - "Class", - "Component", - "Block", - "Skill", - "Agent" - ] - } - }, - { - "code": "tag_forbidden_by_complexity", - "tag": "COMPLEXITY", - "message": "@COMPLEXITY is forbidden for contract type 'Service' at C2", - "detail": { - "actual_complexity": 2, - "contract_type": "Service" - } - }, - { - "code": "tag_not_for_contract_type", - "tag": "PURPOSE", - "message": "@PURPOSE is not allowed for contract type 'Service'", - "detail": { - "actual_type": "Service", - "allowed_types": [ - "Module", - "Function", - "Class", - "Component", - "Block", - "ADR", - "Skill", - "Agent" - ] - } - }, - { - "code": "tag_forbidden_by_complexity", - "tag": "PURPOSE", - "message": "@PURPOSE is forbidden for contract type 'Service' at C2", - "detail": { - "actual_complexity": 2, - "contract_type": "Service" - } - } - ], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "// #region ConnectionService [C:2] [TYPE Service] [SEMANTICS connection, service, api, crud, database]\n// @BRIEF Service for Connection Management API — list, create, and delete connection configurations.\n\n/**\n * Service for interacting with the Connection Management API.\n */\n\nimport { requestApi } from '../lib/api';\n\nconst API_BASE = '/settings/connections';\n\n// #region getConnections:Function [TYPE Function]\n/* @PURPOSE: Fetch a list of saved connections.\n @PRE: None.\n @POST: Returns a promise resolving to an array of connections.\n*/\n/**\n * Fetch a list of saved connections.\n * @returns {Promise} List of connections.\n */\nexport async function getConnections() {\n return requestApi(API_BASE);\n}\n// #endregion getConnections:Function\n\n// #region createConnection:Function [TYPE Function]\n/* @PURPOSE: Create a new connection configuration.\n @PRE: connectionData must be a valid object.\n @POST: Returns a promise resolving to the created connection.\n*/\n/**\n * Create a new connection configuration.\n * @param {Object} connectionData - The connection data.\n * @returns {Promise} The created connection instance.\n */\nexport async function createConnection(connectionData) {\n return requestApi(API_BASE, 'POST', connectionData);\n}\n// #endregion createConnection:Function\n\n// #region deleteConnection:Function [TYPE Function]\n/* @PURPOSE: Delete a connection configuration.\n @PRE: connectionId must be a valid string.\n @POST: Returns a promise that resolves when deletion is complete.\n*/\n/**\n * Delete a connection configuration.\n * @param {string} connectionId - The ID of the connection to delete.\n */\nexport async function deleteConnection(connectionId) {\n return requestApi(`${API_BASE}/${connectionId}`, 'DELETE');\n}\n// #endregion deleteConnection:Function\n// #endregion ConnectionService\n" - }, - { - "contract_id": "getConnections:Function", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 12, - "end_line": 24, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "POST": "Returns a promise resolving to an array of connections.", - "PRE": "None.", - "PURPOSE": "Fetch a list of saved connections." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "// #region getConnections:Function [TYPE Function]\n/* @PURPOSE: Fetch a list of saved connections.\n @PRE: None.\n @POST: Returns a promise resolving to an array of connections.\n*/\n/**\n * Fetch a list of saved connections.\n * @returns {Promise} List of connections.\n */\nexport async function getConnections() {\n return requestApi(API_BASE);\n}\n// #endregion getConnections:Function\n" - }, - { - "contract_id": "frontend/src/services/connectionService.js::getConnections", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 17, - "end_line": 21, - "tier": "TIER_1", - "complexity": 1, - "metadata": {}, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "jsdoc", - "tier_source": "AutoCalculated", - "body": "/**\n * Fetch a list of saved connections.\n * @returns {Promise} List of connections.\n */" - }, - { - "contract_id": "createConnection:Function", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 26, - "end_line": 39, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "POST": "Returns a promise resolving to the created connection.", - "PRE": "connectionData must be a valid object.", - "PURPOSE": "Create a new connection configuration." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "// #region createConnection:Function [TYPE Function]\n/* @PURPOSE: Create a new connection configuration.\n @PRE: connectionData must be a valid object.\n @POST: Returns a promise resolving to the created connection.\n*/\n/**\n * Create a new connection configuration.\n * @param {Object} connectionData - The connection data.\n * @returns {Promise} The created connection instance.\n */\nexport async function createConnection(connectionData) {\n return requestApi(API_BASE, 'POST', connectionData);\n}\n// #endregion createConnection:Function\n" - }, - { - "contract_id": "frontend/src/services/connectionService.js::createConnection", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 31, - "end_line": 36, - "tier": "TIER_1", - "complexity": 1, - "metadata": {}, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "jsdoc", - "tier_source": "AutoCalculated", - "body": "/**\n * Create a new connection configuration.\n * @param {Object} connectionData - The connection data.\n * @returns {Promise} The created connection instance.\n */" - }, - { - "contract_id": "deleteConnection:Function", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 41, - "end_line": 53, - "tier": "TIER_1", - "complexity": 1, - "metadata": { - "POST": "Returns a promise that resolves when deletion is complete.", - "PRE": "connectionId must be a valid string.", - "PURPOSE": "Delete a connection configuration." - }, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "region", - "tier_source": "AutoCalculated", - "body": "// #region deleteConnection:Function [TYPE Function]\n/* @PURPOSE: Delete a connection configuration.\n @PRE: connectionId must be a valid string.\n @POST: Returns a promise that resolves when deletion is complete.\n*/\n/**\n * Delete a connection configuration.\n * @param {string} connectionId - The ID of the connection to delete.\n */\nexport async function deleteConnection(connectionId) {\n return requestApi(`${API_BASE}/${connectionId}`, 'DELETE');\n}\n// #endregion deleteConnection:Function\n" - }, - { - "contract_id": "frontend/src/services/connectionService.js::deleteConnection", - "contract_type": "Function", - "file_path": "frontend/src/services/connectionService.js", - "start_line": 46, - "end_line": 50, - "tier": "TIER_1", - "complexity": 1, - "metadata": {}, - "relations": [], - "schema_warnings": [], - "anchor_syntax": "jsdoc", - "tier_source": "AutoCalculated", - "body": "/**\n * Delete a connection configuration.\n * @param {string} connectionId - The ID of the connection to delete.\n */" - }, { "contract_id": "GitUtils", "contract_type": "Module", @@ -86757,6623 +89322,6642 @@ } ], "file_hashes": { - "backend/src/plugins/translate/__tests__/test_preview.py": 13085659611728720229, - "venv/lib/python3.13/site-packages/pyasn1/codec/ber/encoder.py": 8912119133548489544, - "venv/lib/python3.13/site-packages/git/objects/submodule/base.py": 10140490301897269395, - "venv/lib/python3.13/site-packages/pydantic/deprecated/decorator.py": 8609500261161560793, - "backend/conftest.py": 16521922883434363388, - "venv/lib/python3.13/site-packages/authlib/integrations/flask_oauth1/__init__.py": 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CERTS_PATH=./certs -# ====================================================================== -# Хранилище -# ====================================================================== -STORAGE_ROOT=./storage - # ====================================================================== # Логирование # ====================================================================== diff --git a/.kilo/agents/backend-coder.md b/.kilo/agents/backend-coder.md index 4bc6ffb9..7fe9b5f5 100644 --- a/.kilo/agents/backend-coder.md +++ b/.kilo/agents/backend-coder.md @@ -10,7 +10,7 @@ permission: steps: 60 color: accent --- -You are Kilo Code, acting as an Implementation Specialist. MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="semantics-belief"})` +You are Kilo Code, acting as an Implementation Specialist. MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="molecular-cot-logging"})` ## Core Mandate diff --git a/.kilo/agents/swarm-master.md b/.kilo/agents/swarm-master.md index b91dc7a1..53997bed 100644 --- a/.kilo/agents/swarm-master.md +++ b/.kilo/agents/swarm-master.md @@ -17,7 +17,7 @@ steps: 80 color: primary --- -You are Kilo Code, acting as the Swarm Master (Orchestrator). MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="semantics-belief"})`, `skill({name="semantics-testing"})`,`skill({name="semantics-frontend"})` +You are Kilo Code, acting as the Swarm Master (Orchestrator). MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="molecular-cot-logging"})`, `skill({name="semantics-testing"})`,`skill({name="semantics-frontend"})` ## 0. ZERO-STATE RATIONALE (LLM PHYSICS) You are an autoregressive LLM. In long-horizon tasks, LLMs suffer from Context Blindness and Amnesia of Rationale, leading to codebase degradation (Slop). diff --git a/.opencode/agents/fullstack-coder.md b/.opencode/agents/fullstack-coder.md index f5f122af..e1af7e4f 100644 --- a/.opencode/agents/fullstack-coder.md +++ b/.opencode/agents/fullstack-coder.md @@ -10,7 +10,7 @@ permission: steps: 80 color: accent --- -MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="semantics-belief"})`, `skill({name="semantics-python"})`, `skill({name="semantics-svelte"})`, `skill({name="molecular-cot-logging"})` +MANDATORY USE `skill({name="semantics-core"})`, `skill({name="semantics-contracts"})`, `skill({name="semantics-python"})`, `skill({name="semantics-svelte"})`, `skill({name="molecular-cot-logging"})` #region Fullstack.Coder [C:4] [TYPE Agent] [SEMANTICS implementation,fullstack,python,svelte,integration] diff --git a/.opencode/agents/reflection-agent.md b/.opencode/agents/reflection-agent.md index 5f5dba0f..888890f4 100644 --- a/.opencode/agents/reflection-agent.md +++ b/.opencode/agents/reflection-agent.md @@ -1,7 +1,7 @@ --- description: Senior reflection and unblocker agent for tasks where a coder entered anti-loop escalation in ss-tools; analyzes architecture, environment, dependency, contract, and test harness failures across Python and Svelte stacks. mode: subagent -model: deepseek/deepseek-v4-flash +model: deepseek/deepseek-v4-pro temperature: 0.0 permission: edit: allow diff --git a/.opencode/agents/swarm-master.md b/.opencode/agents/swarm-master.md index 21f8e65c..148589f7 100644 --- a/.opencode/agents/swarm-master.md +++ b/.opencode/agents/swarm-master.md @@ -4,8 +4,8 @@ mode: all model: deepseek/deepseek-v4-flash temperature: 0.0 permission: - edit: allow - bash: allow + edit: deny + bash: deny browser: deny task: closure-gate: allow diff --git a/backend/.axiom/runtime/belief_events.jsonl b/backend/.axiom/runtime/belief_events.jsonl new file mode 100644 index 00000000..9e23b34d --- /dev/null +++ b/backend/.axiom/runtime/belief_events.jsonl @@ -0,0 +1,4 @@ +{"recorded_at":"2026-05-22T08:17:41.943631399Z","anchor_id":"Axiom:Services:Artifact:RunWorkspaceCommand","marker":"reason","message":"Executing a read-only workspace command inside the project root.","depth":1,"extra":{"command":"cd /home/busya/dev/ss-tools/backend && python -m py_compile src/plugins/llm_analysis/service.py && echo \"SYNTAX OK\"","timeout_seconds":10}} +{"timestamp":1779437861.943,"event_type":"belief_reason","component":"Axiom:Services:Artifact:RunWorkspaceCommand","data":{"depth":1,"extra":{"command":"cd /home/busya/dev/ss-tools/backend && python -m py_compile src/plugins/llm_analysis/service.py && echo \"SYNTAX OK\"","timeout_seconds":10},"message":"Executing a read-only workspace command inside the project root."}} +{"recorded_at":"2026-05-22T08:17:42.118409820Z","anchor_id":"Axiom:Services:Artifact:RunWorkspaceCommand","marker":"reflect","message":"Workspace command completed and output was bounded for transport.","depth":1,"extra":{"exit_code":127,"stderr_truncated":false,"stdout_truncated":false}} +{"timestamp":1779437862.118,"event_type":"belief_reflect","component":"Axiom:Services:Artifact:RunWorkspaceCommand","data":{"depth":1,"extra":{"exit_code":127,"stderr_truncated":false,"stdout_truncated":false},"message":"Workspace command completed and output was bounded for transport."}} diff --git a/backend/:memory:test_auth b/backend/:memory:test_auth new file mode 100644 index 0000000000000000000000000000000000000000..7539e2b9db76c263d780d4003be343fb4062181c GIT binary patch literal 909312 zcmeI*3zQt$dD!>v0Wggj01GacWKk5!ttGkKX)VCzEQkdmXt`|66b1v#bYpvZmH?OQ zQcc&LnObyLHL9uyGfPTj1B+czk`qO?BtPRQFWXU+r{lzyWJ$Io$FdVSie8p2Imga9 ziIvw$e4L{bAIG^>-PPUIUDY#yM)Nv<>>)6H@2z`p{qA=kH8lX2USF_$p{_b^-SE{5 znGa;L+02(!HIvDFOaAY7<^Q5z-;!S(k3PshvwdHuefh1-=ia$@Lgt=6`wKytUpf0P z&i+4V|F5(E+u8s5>_0yHJ7<6E?602vyJvr?of#D17Xk<%fB*srAb9b zW9|?E1Q0*~0R#|0009ILKmY;W{}TfUAbhlfAb;HrH7!{f@UN;VT#=-sPXzR-=P-)^8&{d9Q2M_S__$|;JHZQTud!o={m z564J4wWneP%_iQhDZHv{HTpFIykUg$Gvi8L$$Ak&(-W?zi@IUe!Y@CRqR>|^U_H$OP8yrg8m8Lu-a67)AL`pn2`qoRE^M@jko)1#2X%Ju2+j}Jch)CWT3cRw8> zhl$~DPsfnMq!AGpDxpgB5BQI=Ox6G964|Ghs^CYEQR826pDMi$&;3j2L z`PR!%^=OiDlY1nY15R zwl8d7y|EVvDvWXF48|^Vpk^2sCd4d49)uRlpCH~i>Jqf=uO!W zQWW*+l#Da2Pfq5PuS{oKh2g-e3(qswlE`1=*H{^kL8pXU(7yyb0B8Ja=m~JKORqs)=r(N2gax) zNh|5VY>px_h!Im%t>Ez9pOz4Hoxu%5Hn{8$9%`>19}j|L+fWPdyFbptgcGgTvN`4X z=d%wAp{cMpEZ4E?a>MZYzaEQe_UDY4^{Gd~rdx}gViQU3E2eDOGHPDml#CS_o@YI~WCx8FsPvpMm-6uRdO7=i_9LgXQ`$Dqc1JI}_3`h@DNC2Lt;^BGuhr`M zhEbEp-Qe)6%kx6B=6ia>sae%6Ief|a=LZ*pkNGj5^hAEC2ATpUEi~E@a

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+__all__ = ["maintenance_router"] +# #endregion MaintenanceRoutesPackage diff --git a/backend/src/api/routes/maintenance/_router.py b/backend/src/api/routes/maintenance/_router.py new file mode 100644 index 00000000..8077b672 --- /dev/null +++ b/backend/src/api/routes/maintenance/_router.py @@ -0,0 +1,14 @@ +# #region MaintenanceRouter [C:3] [TYPE Module] [SEMANTICS fastapi, router, maintenance, api] +# @BRIEF FastAPI APIRouter for the Maintenance Banner endpoints. +# @LAYER API +# @RELATION DEPENDS_ON -> [MaintenanceRoutesModule] +# @RELATION DEPENDS_ON -> [AppDependencies] +# @RELATION DEPENDS_ON -> [MaintenanceSchemasModule] + +from fastapi import APIRouter + +router = APIRouter(prefix="/api/maintenance", tags=["Maintenance"]) + +# Import route handlers to register them with the router +from . import _routes # noqa: F401, E402 +# #endregion MaintenanceRouter diff --git a/backend/src/api/routes/maintenance/_routes.py b/backend/src/api/routes/maintenance/_routes.py new file mode 100644 index 00000000..264e828a --- /dev/null +++ b/backend/src/api/routes/maintenance/_routes.py @@ -0,0 +1,562 @@ +# #region MaintenanceRoutesModule [C:3] [TYPE Module] [SEMANTICS fastapi, routes, maintenance, api] +# @BRIEF Route handler stubs for all 7 Maintenance Banner API endpoints with RBAC guards per FR-015. +# @LAYER API +# @RELATION DEPENDS_ON -> [MaintenanceSchemasModule] +# @RELATION DEPENDS_ON -> [MaintenanceRouter] +# @RELATION DEPENDS_ON -> [AppDependencies] +# @RELATION DEPENDS_ON -> [MaintenanceServiceModule] +# @INVARIANT All mutation endpoints return 202 {task_id} per spec. +# @INVARIANT RBAC enforced per FR-015 matrix via has_permission() dependency. + +from datetime import datetime, timezone +from typing import Any, cast + +from fastapi import APIRouter, Depends, HTTPException, status +from sqlalchemy.orm import Session + +from ....core.logger import belief_scope, logger as app_logger +from ....core.task_manager import TaskManager + +app_logger = cast(Any, app_logger) +from ....dependencies import get_current_user, get_db, get_task_manager, has_permission +from ....models.maintenance import ( + MaintenanceDashboardBanner, + MaintenanceDashboardBannerStatus, + MaintenanceDashboardState, + MaintenanceDashboardStateStatus, + MaintenanceEvent, + MaintenanceEventStatus, + MaintenanceSettings, +) +from ._router import router +from ._schemas import ( + MaintenanceAlreadyActiveResponse, + MaintenanceDashboardBannerState, + MaintenanceEndResponse, + MaintenanceEventItem, + MaintenanceEventListResponse, + MaintenanceSettingsResponse, + MaintenanceSettingsUpdate, + MaintenanceStartRequest, + MaintenanceStartResponse, +) + + +# ── GET /api/maintenance/dashboard-banners ─────────────────── +# FR-015: viewer, operator, admin all have READ access + +# #region list_dashboard_banners [C:2] [TYPE Function] +# @BRIEF Get per-dashboard banner state for the Dashboard Hub indicator. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "READ")] +@router.get("/dashboard-banners", response_model=list[MaintenanceDashboardBannerState]) +async def list_dashboard_banners( + db: Session = Depends(get_db), + _=Depends(has_permission("maintenance", "READ")), +): + with belief_scope("list_dashboard_banners"): + # Query active banners with their linked active/pending states + active_banners = ( + db.query(MaintenanceDashboardBanner) + .filter(MaintenanceDashboardBanner.status == MaintenanceDashboardBannerStatus.ACTIVE) + .all() + ) + + result: list[MaintenanceDashboardBannerState] = [] + for banner in active_banners: + linked_states = ( + db.query(MaintenanceDashboardState) + .filter( + MaintenanceDashboardState.banner_id == banner.id, + MaintenanceDashboardState.status.in_([ + MaintenanceDashboardStateStatus.ACTIVE, + MaintenanceDashboardStateStatus.PENDING_APPLY, + ]), + ) + .all() + ) + + event_ids: list[str] = [] + start_times: list[str] = [] + end_times: list[str] = [] + + for state in linked_states: + event = ( + db.query(MaintenanceEvent) + .filter(MaintenanceEvent.id == state.event_id) + .first() + ) + if event: + event_ids.append(event.id) + if event.start_time: + start_times.append(event.start_time.isoformat()) + if event.end_time: + end_times.append(event.end_time.isoformat()) + + result.append( + MaintenanceDashboardBannerState( + dashboard_id=banner.dashboard_id, + active=True, + events=event_ids, + start_time=min(start_times) if start_times else None, + end_time=max(end_times) if end_times else None, + ) + ) + + return result +# #endregion list_dashboard_banners + + +# ── GET /api/maintenance/events ────────────────────────────── +# FR-015: operator, admin (NOT viewer) + +# #region list_events [C:2] [TYPE Function] +# @BRIEF Get active and completed maintenance event lists with affected dashboard counts. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "READ")] +@router.get("/events", response_model=MaintenanceEventListResponse) +async def list_events( + db: Session = Depends(get_db), + _=Depends(has_permission("maintenance", "READ")), + task_manager: TaskManager = Depends(get_task_manager), +): + with belief_scope("list_events"): + # ── Auto-expiry: end events past their end_time ── + now = datetime.now(timezone.utc) + expired = ( + db.query(MaintenanceEvent) + .filter( + MaintenanceEvent.status.in_([ + MaintenanceEventStatus.ACTIVE, + MaintenanceEventStatus.PARTIAL, + MaintenanceEventStatus.ENDING, + ]), + MaintenanceEvent.end_time.isnot(None), + MaintenanceEvent.end_time < now, + ) + .all() + ) + for ev in expired: + app_logger.reason( + "Auto-ending expired maintenance event", + extra={"event_id": ev.id, "end_time": ev.end_time.isoformat()}, + ) + # Schedule proper cleanup via task manager (removes banner from dashboard) + task = await task_manager.create_task( + plugin_id="maintenance_banner_apply", + params={ + "operation": "end", + "event_id": ev.id, + "environment_id": ev.environment_id, + "user": "system", + }, + ) + app_logger.reflect( + "Scheduled cleanup for expired event", + extra={"event_id": ev.id, "task_id": task.id}, + ) + + # Active events: ACTIVE, PARTIAL (per spec T040) + active_statuses = [ + MaintenanceEventStatus.ACTIVE, + MaintenanceEventStatus.PARTIAL, + ] + active_events = ( + db.query(MaintenanceEvent) + .filter(MaintenanceEvent.status.in_(active_statuses)) + .order_by(MaintenanceEvent.created_at.desc()) + .all() + ) + + # Completed events: COMPLETED, FAILED + completed_events = ( + db.query(MaintenanceEvent) + .filter( + MaintenanceEvent.status.in_([ + MaintenanceEventStatus.COMPLETED, + MaintenanceEventStatus.FAILED, + ]) + ) + .order_by(MaintenanceEvent.created_at.desc()) + .limit(50) + .all() + ) + + def _to_item(event: MaintenanceEvent) -> MaintenanceEventItem: + affected_count = ( + db.query(MaintenanceDashboardState) + .filter( + MaintenanceDashboardState.event_id == event.id, + MaintenanceDashboardState.status.in_([ + MaintenanceDashboardStateStatus.ACTIVE, + MaintenanceDashboardStateStatus.PENDING_APPLY, + ]), + ) + .count() + ) + return MaintenanceEventItem( + id=event.id, + tables=list(event.tables) if event.tables else [], + start_time=event.start_time.isoformat() if event.start_time else "", + end_time=event.end_time.isoformat() if event.end_time else None, + message=event.message or None, + status=event.status.value, + affected_count=affected_count, + created_at=event.created_at.isoformat() if event.created_at else "", + ) + + return MaintenanceEventListResponse( + active=[_to_item(e) for e in active_events], + completed=[_to_item(e) for e in completed_events], + ) +# #endregion list_events + + +# ── POST /api/maintenance/start ────────────────────────────── +# FR-001: Always returns 202 {task_id} after validation +# FR-015: operator, admin (NOT viewer) + +# #region start_maintenance [C:3] [TYPE Function] +# @BRIEF Start a maintenance event. Validates input, creates event, dispatches TaskManager task. +# Always returns 202 with task_id and maintenance_id. +# Idempotency: same (tables, start_time, end_time) returns already_active (409-like but 200). +# Tables sorted & lowered for idempotency key. Message NOT in key. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "WRITE")] +# @RELATION DEPENDS_ON -> [TaskManager] +@router.post( + "/start", + status_code=status.HTTP_202_ACCEPTED, + responses={ + 202: {"model": MaintenanceStartResponse}, + 409: {"model": MaintenanceAlreadyActiveResponse}, + }, +) +async def start_maintenance( + request: MaintenanceStartRequest, + db: Session = Depends(get_db), + user=Depends(get_current_user), + _=Depends(has_permission("maintenance", "WRITE")), + task_manager: TaskManager = Depends(get_task_manager), +): + with belief_scope("start_maintenance"): + # ── Validation ── + + # Validate end_time > start_time + if request.end_time and request.start_time and request.end_time <= request.start_time: + raise HTTPException( + status_code=400, + detail="end_time must be after start_time", + ) + + # Validate times are within reasonable range (future ±1h grace period) + now = datetime.now(timezone.utc) + grace_threshold = 3600 # 1 hour in seconds + if request.start_time: + diff = (request.start_time - now).total_seconds() if request.start_time.tzinfo else \ + (request.start_time.replace(tzinfo=timezone.utc) - now).total_seconds() + if diff < -grace_threshold: + raise HTTPException( + status_code=400, + detail="start_time is too far in the past (max 1h grace period)", + ) + + # Validate tables list length + if len(request.tables) > 100: + raise HTTPException( + status_code=400, + detail="Maximum 100 tables allowed", + ) + + # Sanitize message (HTML escape already done in rendering, but check for raw HTML) + message = request.message + if message: + import html as _html + sanitized = _html.escape(message) + if sanitized != message: + # Message contained HTML — accept it, it will be escaped at render time + pass + + # ── Idempotency check ── + from ....services.maintenance import build_idempotency_key + + sorted_tables = sorted(t.strip().lower() for t in request.tables if t.strip()) + idem_tables = frozenset(sorted_tables) + idem_start = request.start_time.isoformat() if request.start_time else None + idem_end = request.end_time.isoformat() if request.end_time else None + + # Find existing active event with same idempotency key + active_statuses = [ + MaintenanceEventStatus.PENDING, + MaintenanceEventStatus.APPLYING, + MaintenanceEventStatus.ACTIVE, + MaintenanceEventStatus.PARTIAL, + ] + existing = ( + db.query(MaintenanceEvent) + .filter( + MaintenanceEvent.status.in_(active_statuses), + ) + .all() + ) + for ev in existing: + ev_tables = frozenset( + sorted(t.lower() for t in (ev.tables or []) if t) + ) + ev_start = ev.start_time.isoformat() if ev.start_time else None + ev_end = ev.end_time.isoformat() if ev.end_time else None + if ev_tables == idem_tables and ev_start == idem_start and ev_end == idem_end: + # Same key → return already_active + app_logger.reflect( + "Idempotency hit — event already active", + extra={"existing_id": ev.id}, + ) + return MaintenanceAlreadyActiveResponse( + maintenance_id=ev.id, + status="already_active", + ) + + # ── Load settings for environment ── + settings = db.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + env_id = settings.target_environment_id if settings else "" + + # ── Create event ── + event = MaintenanceEvent( + tables=sorted_tables, + start_time=request.start_time, + end_time=request.end_time, + message=message, + status=MaintenanceEventStatus.PENDING, + environment_id=env_id, + ) + db.add(event) + db.flush() + + # ── Dispatch TaskManager task ── + task = await task_manager.create_task( + plugin_id="maintenance_banner_apply", + params={ + "operation": "start", + "event_id": event.id, + "environment_id": env_id, + "user": getattr(user, "username", "system"), + }, + ) + event.task_id = task.id + db.commit() + + app_logger.reflect( + "Maintenance start dispatched", + extra={"event_id": event.id, "task_id": task.id}, + ) + + return MaintenanceStartResponse( + task_id=task.id, + maintenance_id=event.id, + status="pending", + ) +# #endregion start_maintenance + + +# ── POST /api/maintenance/{maintenance_id}/end ─────────────── +# FR-006: Remove banners for a specific maintenance event +# FR-015: operator, admin (NOT viewer) + +# #region end_maintenance [C:3] [TYPE Function] +# @BRIEF End a specific maintenance event by ID. Removes banners from affected dashboards. +# Always returns 202 with task_id. Idempotent: already_completed returns success. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "WRITE")] +@router.post( + "/{maintenance_id}/end", + status_code=status.HTTP_202_ACCEPTED, + response_model=MaintenanceEndResponse, +) +async def end_maintenance( + maintenance_id: str, + db: Session = Depends(get_db), + user=Depends(get_current_user), + _=Depends(has_permission("maintenance", "WRITE")), + task_manager: TaskManager = Depends(get_task_manager), +): + with belief_scope("end_maintenance", f"maintenance_id={maintenance_id}"): + # Check event exists + event = db.query(MaintenanceEvent).filter( + MaintenanceEvent.id == maintenance_id + ).first() + + if not event: + raise HTTPException( + status_code=404, + detail=f"Maintenance event {maintenance_id} not found", + ) + + # If already completed, return idempotent success + if event.status == MaintenanceEventStatus.COMPLETED: + app_logger.reflect( + "Event already completed, returning idempotent", + extra={"event_id": maintenance_id}, + ) + return MaintenanceEndResponse( + task_id=event.task_id or "", + status="already_completed", + ) + + # ── Dispatch TaskManager task ── + task = await task_manager.create_task( + plugin_id="maintenance_banner_apply", + params={ + "operation": "end", + "event_id": maintenance_id, + "environment_id": event.environment_id, + "user": getattr(user, "username", "system"), + }, + ) + + app_logger.reflect( + "Maintenance end dispatched", + extra={"event_id": maintenance_id, "task_id": task.id}, + ) + + return MaintenanceEndResponse( + task_id=task.id, + status="pending", + ) +# #endregion end_maintenance + + +# ── POST /api/maintenance/end-all ──────────────────────────── +# FR-007: Bulk removal of all active banners +# FR-015: operator, admin (NOT viewer) + +# #region end_all_maintenance [C:3] [TYPE Function] +# @BRIEF End all active maintenance events. Removes all banners from all dashboards. +# Always returns 202 with task_id. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "WRITE")] +@router.post( + "/end-all", + status_code=status.HTTP_202_ACCEPTED, + response_model=MaintenanceEndResponse, +) +async def end_all_maintenance( + db: Session = Depends(get_db), + user=Depends(get_current_user), + _=Depends(has_permission("maintenance", "WRITE")), + task_manager: TaskManager = Depends(get_task_manager), +): + with belief_scope("end_all_maintenance"): + # ── Dispatch TaskManager task ── + task = await task_manager.create_task( + plugin_id="maintenance_banner_apply", + params={ + "operation": "end_all", + "user": getattr(user, "username", "system"), + }, + ) + + app_logger.reflect( + "End-all maintenance dispatched", + extra={"task_id": task.id}, + ) + + return MaintenanceEndResponse( + task_id=task.id, + status="pending", + ) +# #endregion end_all_maintenance + + +# ── GET /api/maintenance/settings ──────────────────────────── +# FR-009: Get maintenance settings configuration +# FR-015: operator, admin (NOT viewer) + +# #region get_maintenance_settings [C:2] [TYPE Function] +# @BRIEF Get current maintenance settings configuration. +# @RELATION DEPENDS_ON -> [has_permission("maintenance", "READ")] +@router.get("/settings", response_model=MaintenanceSettingsResponse) +async def get_maintenance_settings( + db: Session = Depends(get_db), + _=Depends(has_permission("maintenance", "READ")), +): + with belief_scope("get_maintenance_settings"): + settings = db.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + + if not settings: + raise HTTPException( + status_code=404, + detail="Maintenance settings not configured", + ) + + return MaintenanceSettingsResponse( + target_environment_id=settings.target_environment_id, + display_timezone=settings.display_timezone, + banner_template=settings.banner_template, + dashboard_scope=settings.dashboard_scope.value, + excluded_dashboard_ids=list(settings.excluded_dashboard_ids or []), + forced_dashboard_ids=list(settings.forced_dashboard_ids or []), + updated_at=settings.updated_at.isoformat() if settings.updated_at else None, + ) +# #endregion get_maintenance_settings + + +# ── PUT /api/maintenance/settings ──────────────────────────── +# FR-009: Update maintenance settings configuration +# FR-015: admin ONLY (NOT operator, NOT viewer) + +# #region update_maintenance_settings [C:2] [TYPE Function] +# @BRIEF Update maintenance settings. All fields optional for partial update. +# admin role required per FR-015. +# @RELATION DEPENDS_ON -> [has_permission("admin:settings", "WRITE")] +@router.put("/settings", response_model=MaintenanceSettingsResponse) +async def update_maintenance_settings( + settings_data: MaintenanceSettingsUpdate, + db: Session = Depends(get_db), + _=Depends(has_permission("admin:settings", "WRITE")), +): + with belief_scope("update_maintenance_settings"): + settings = db.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + + if not settings: + # Auto-create with defaults on first save (upsert behavior). + # Column-level defaults from the model apply for omitted fields. + settings = MaintenanceSettings( + id="default", + target_environment_id=settings_data.target_environment_id or "", + ) + db.add(settings) + db.flush() + + # Apply partial updates + update_data = settings_data.model_dump(exclude_unset=True) + + if "target_environment_id" in update_data: + settings.target_environment_id = update_data["target_environment_id"] + if "display_timezone" in update_data: + settings.display_timezone = update_data["display_timezone"] + if "banner_template" in update_data: + settings.banner_template = update_data["banner_template"] + if "dashboard_scope" in update_data: + from ....models.maintenance import DashboardScope + settings.dashboard_scope = DashboardScope(update_data["dashboard_scope"]) + if "excluded_dashboard_ids" in update_data: + settings.excluded_dashboard_ids = update_data["excluded_dashboard_ids"] + if "forced_dashboard_ids" in update_data: + settings.forced_dashboard_ids = update_data["forced_dashboard_ids"] + + db.commit() + db.refresh(settings) + + return MaintenanceSettingsResponse( + target_environment_id=settings.target_environment_id, + display_timezone=settings.display_timezone, + banner_template=settings.banner_template, + dashboard_scope=settings.dashboard_scope.value, + excluded_dashboard_ids=list(settings.excluded_dashboard_ids or []), + forced_dashboard_ids=list(settings.forced_dashboard_ids or []), + updated_at=settings.updated_at.isoformat() if settings.updated_at else None, + ) +# #endregion update_maintenance_settings + +# #endregion MaintenanceRoutesModule diff --git a/backend/src/api/routes/maintenance/_schemas.py b/backend/src/api/routes/maintenance/_schemas.py new file mode 100644 index 00000000..38299d31 --- /dev/null +++ b/backend/src/api/routes/maintenance/_schemas.py @@ -0,0 +1,156 @@ +# #region MaintenanceSchemasModule [C:2] [TYPE Module] [SEMANTICS pydantic, schema, maintenance, request, response] +# @BRIEF Pydantic models for Maintenance Banner API: request/response schemas per data-model.md. +# @LAYER API +# @RELATION DEPENDS_ON -> [Pydantic] +# @INVARIANT All response schemas use the standard envelope shape: { status, data, error, meta } + +from datetime import datetime + +from pydantic import BaseModel, Field + + +# ── Request Schemas ────────────────────────────────────────── + +# #region MaintenanceStartRequest [C:1] [TYPE Class] +# @BRIEF POST /api/maintenance/start request body. +class MaintenanceStartRequest(BaseModel): + tables: list[str] = Field(..., min_length=1, max_length=100) + start_time: datetime + end_time: datetime | None = None + message: str | None = Field(None, max_length=500) +# #endregion MaintenanceStartRequest + + +# #region MaintenanceSettingsUpdate [C:1] [TYPE Class] +# @BRIEF PUT /api/maintenance/settings request body — all fields optional for partial update. +class MaintenanceSettingsUpdate(BaseModel): + target_environment_id: str | None = None + display_timezone: str | None = None + banner_template: str | None = None + dashboard_scope: str | None = None + excluded_dashboard_ids: list[int] | None = None + forced_dashboard_ids: list[int] | None = None +# #endregion MaintenanceSettingsUpdate + + +# ── Response Schemas ───────────────────────────────────────── + +# #region MaintenanceStartResponse [C:1] [TYPE Class] +# @BRIEF Response for /api/maintenance/start — always 202 with task_id. +class MaintenanceStartResponse(BaseModel): + task_id: str + maintenance_id: str + status: str # "pending" +# #endregion MaintenanceStartResponse + + +# #region MaintenanceDashboardResult [C:1] [TYPE Class] +# @BRIEF Describes a single dashboard affected by a maintenance operation. +class MaintenanceDashboardResult(BaseModel): + id: int + title: str + chart_id: int | None = None +# #endregion MaintenanceDashboardResult + + +# #region MaintenanceFailedDashboard [C:1] [TYPE Class] +# @BRIEF Describes a dashboard that failed during banner apply/removal. +class MaintenanceFailedDashboard(BaseModel): + id: int + title: str + error: str +# #endregion MaintenanceFailedDashboard + + +# #region MaintenanceTaskResult [C:1] [TYPE Class] +# @BRIEF Result payload for a completed maintenance start task. +class MaintenanceTaskResult(BaseModel): + maintenance_id: str + status: str # "active" | "partial" | "completed" | "no_match" + affected_dashboards: int = 0 + dashboards: list[MaintenanceDashboardResult] = [] + failed_dashboards: list[MaintenanceFailedDashboard] = [] + unmatched_tables: list[str] = [] +# #endregion MaintenanceTaskResult + + +# #region MaintenanceEndResponse [C:1] [TYPE Class] +# @BRIEF Response for /api/maintenance/{id}/end and /api/maintenance/end-all — always 202 with task_id. +class MaintenanceEndResponse(BaseModel): + task_id: str + status: str # "pending" +# #endregion MaintenanceEndResponse + + +# #region MaintenanceEndTaskResult [C:1] [TYPE Class] +# @BRIEF Result payload for a completed end maintenance task. +class MaintenanceEndTaskResult(BaseModel): + maintenance_id: str + removed_from: int = 0 + failed_removals: list[MaintenanceFailedDashboard] = [] +# #endregion MaintenanceEndTaskResult + + +# #region MaintenanceEndAllTaskResult [C:1] [TYPE Class] +# @BRIEF Result payload for a completed end-all maintenance task. +class MaintenanceEndAllTaskResult(BaseModel): + closed_events: int = 0 + removed_from: int = 0 + failed_removals: list[MaintenanceFailedDashboard] = [] +# #endregion MaintenanceEndAllTaskResult + + +# #region MaintenanceSettingsResponse [C:1] [TYPE Class] +# @BRIEF Response for GET /api/maintenance/settings. +class MaintenanceSettingsResponse(BaseModel): + target_environment_id: str + display_timezone: str + banner_template: str + dashboard_scope: str + excluded_dashboard_ids: list[int] + forced_dashboard_ids: list[int] + updated_at: str | None = None +# #endregion MaintenanceSettingsResponse + + +# #region MaintenanceEventItem [C:1] [TYPE Class] +# @BRIEF Single maintenance event summary for GET /api/maintenance/events. +class MaintenanceEventItem(BaseModel): + id: str + tables: list[str] + start_time: str + end_time: str | None = None + message: str | None = None + status: str + affected_count: int + created_at: str +# #endregion MaintenanceEventItem + + +# #region MaintenanceEventListResponse [C:1] [TYPE Class] +# @BRIEF Response for GET /api/maintenance/events. +class MaintenanceEventListResponse(BaseModel): + active: list[MaintenanceEventItem] + completed: list[MaintenanceEventItem] +# #endregion MaintenanceEventListResponse + + +# #region MaintenanceDashboardBannerState [C:1] [TYPE Class] +# @BRIEF Per-dashboard banner state for GET /api/maintenance/dashboard-banners. +class MaintenanceDashboardBannerState(BaseModel): + dashboard_id: int + active: bool + events: list[str] + start_time: str | None = None + end_time: str | None = None +# #endregion MaintenanceDashboardBannerState + + +# #region MaintenanceAlreadyActiveResponse [C:1] [TYPE Class] +# @BRIEF Response for duplicate /start call — idempotency hit. +class MaintenanceAlreadyActiveResponse(BaseModel): + maintenance_id: str + status: str = "already_active" +# #endregion MaintenanceAlreadyActiveResponse + +# #endregion MaintenanceSchemasModule diff --git a/backend/src/api/routes/settings.py b/backend/src/api/routes/settings.py index 1c85bfbd..94b75781 100755 --- a/backend/src/api/routes/settings.py +++ b/backend/src/api/routes/settings.py @@ -393,6 +393,7 @@ class ConsolidatedSettingsResponse(BaseModel): storage: dict notifications: dict = {} features: dict = {} + app_timezone: str = "Europe/Moscow" # #endregion ConsolidatedSettingsResponse @@ -463,6 +464,7 @@ async def get_consolidated_settings( storage=config.settings.storage.dict(), notifications=notifications_payload, features=config.settings.features.model_dump(), + app_timezone=config.settings.app_timezone, ) logger.reflect( "Consolidated settings payload assembled", @@ -526,6 +528,15 @@ async def update_consolidated_settings( payload["notifications"] = settings_patch["notifications"] config_manager.save_config(payload) + # Update app_timezone if provided + if "app_timezone" in settings_patch: + new_tz = settings_patch["app_timezone"] + from ...core.timezone import validate_timezone, invalidate_timezone_cache + if not validate_timezone(new_tz): + raise HTTPException(status_code=422, detail=f"Invalid IANA timezone: {new_tz}") + current_settings.app_timezone = new_tz + invalidate_timezone_cache() + config_manager.update_global_settings(current_settings) return {"status": "success", "message": "Settings updated"} diff --git a/backend/src/api/routes/validation.py b/backend/src/api/routes/validation.py index bb563f82..47fb16e8 100644 --- a/backend/src/api/routes/validation.py +++ b/backend/src/api/routes/validation.py @@ -13,8 +13,9 @@ from sqlalchemy.orm import Session from ...core.config_manager import ConfigManager from ...core.database import get_db from ...core.logger import logger +from ...core.scheduler import SchedulerService from ...core.task_manager import TaskManager -from ...dependencies import get_config_manager, get_current_user, get_task_manager, has_permission +from ...dependencies import get_config_manager, get_current_user, get_scheduler_service, get_task_manager, has_permission from ...schemas.auth import User from ...schemas.validation import ( TriggerRunResponse, @@ -88,11 +89,14 @@ async def create_task( current_user: User = Depends(get_current_user), _=Depends(has_permission("validation.task", "CREATE")), service: ValidationTaskService = Depends(_get_task_service), + scheduler: SchedulerService = Depends(get_scheduler_service), ): """Create a new validation task with provider and environment validation.""" logger.reason(f"create_task — User: {current_user.username}, name: {payload.name}", extra={"src": "validation_routes"}) try: - return service.create_task(payload) + result = service.create_task(payload) + scheduler.reload_validation_policy(result.id) + return result except ValueError as e: raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=str(e)) # #endregion create_task @@ -114,8 +118,9 @@ async def get_task( try: task = task_service.get_task(task_id) from ...schemas.validation import ValidationRunResponse - # Find recent runs via run_service using dashboard matching + # Find recent runs for this specific task via task_id recent = run_service.list_runs( + task_id=task_id, dashboard_id=task.dashboard_ids[0] if task.dashboard_ids else None, environment_id=task.environment_id, page=1, @@ -140,11 +145,14 @@ async def update_task( current_user: User = Depends(get_current_user), _=Depends(has_permission("validation.task", "EDIT")), service: ValidationTaskService = Depends(_get_task_service), + scheduler: SchedulerService = Depends(get_scheduler_service), ): """Update a validation task.""" logger.reason(f"update_task — Task: {task_id}, User: {current_user.username}", extra={"src": "validation_routes"}) try: - return service.update_task(task_id, payload) + result = service.update_task(task_id, payload) + scheduler.reload_validation_policy(result.id) + return result except ValueError as e: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) # #endregion update_task @@ -160,11 +168,13 @@ async def delete_task( current_user: User = Depends(get_current_user), _=Depends(has_permission("validation.task", "DELETE")), service: ValidationTaskService = Depends(_get_task_service), + scheduler: SchedulerService = Depends(get_scheduler_service), ): """Delete a validation task.""" logger.reason(f"delete_task — Task: {task_id}, User: {current_user.username}", extra={"src": "validation_routes"}) try: service.delete_task(task_id, delete_runs=delete_runs) + scheduler.remove_validation_job(task_id) except ValueError as e: raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(e)) # #endregion delete_task diff --git a/backend/src/app.py b/backend/src/app.py index 6a746e0b..96685671 100755 --- a/backend/src/app.py +++ b/backend/src/app.py @@ -35,6 +35,7 @@ from .api.routes import ( git, health, llm, + maintenance, mappings, migration, plugins, @@ -219,6 +220,7 @@ app.add_middleware(TraceContextMiddleware) # @RELATION DEPENDS_ON -> [LlmRoutes] # @RELATION DEPENDS_ON -> [CleanReleaseV2Api] # @RELATION DEPENDS_ON -> [ValidationRoutes] +# @RELATION DEPENDS_ON -> [MaintenanceRouter] # Include API routes app.include_router(auth.router) app.include_router(admin.router) @@ -242,6 +244,7 @@ app.include_router(dataset_review.router) app.include_router(health.router) app.include_router(translate.router) app.include_router(validation.router, prefix="/api/validation", tags=["Validation"]) +app.include_router(maintenance.maintenance_router) # #endregion API_Routes # #region api.include_routers [C:1] [TYPE Action] [SEMANTICS routes, registration, api] # @BRIEF Registers all API routers with the FastAPI application. diff --git a/backend/src/core/config_manager.py b/backend/src/core/config_manager.py index b7f8a95c..687ebccc 100644 --- a/backend/src/core/config_manager.py +++ b/backend/src/core/config_manager.py @@ -82,6 +82,14 @@ class ConfigManager: "Applied FEATURES__HEALTH_MONITOR from env", extra={"value": parsed, "raw": health_monitor_env}, ) + + app_timezone_env = os.getenv("APP_TIMEZONE") + if app_timezone_env is not None: + settings.app_timezone = app_timezone_env.strip() + logger.reason( + "Applied APP_TIMEZONE from env", + extra={"value": settings.app_timezone}, + ) # #endregion _apply_features_from_env # #region _default_config [TYPE Function] # @PURPOSE: Build default application configuration fallback. diff --git a/backend/src/core/config_models.py b/backend/src/core/config_models.py index f498cf2e..3f4ff065 100755 --- a/backend/src/core/config_models.py +++ b/backend/src/core/config_models.py @@ -5,7 +5,7 @@ # @RELATION IMPLEMENTS -> [ConnectionContracts] -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, field_validator from ..models.storage import StorageConfig from ..services.llm_prompt_templates import ( @@ -101,6 +101,19 @@ class GlobalSettings(BaseModel): } ) + # Application timezone + app_timezone: str = "Europe/Moscow" + + @field_validator("app_timezone") + @classmethod + def validate_app_timezone(cls, v: str) -> str: + from zoneinfo import ZoneInfo + try: + ZoneInfo(v) + except (KeyError, TypeError): + raise ValueError(f"Invalid IANA timezone: {v}") from None + return v + # Task retention settings task_retention_days: int = 30 task_retention_limit: int = 100 diff --git a/backend/src/core/database.py b/backend/src/core/database.py index 1b949f22..f3504647 100644 --- a/backend/src/core/database.py +++ b/backend/src/core/database.py @@ -21,6 +21,7 @@ from ..models import ( config as _config_models, # noqa: F401 dataset_review as _dataset_review_models, # noqa: F401 llm as _llm_models, # noqa: F401 + maintenance as _maintenance_models, # noqa: F401 profile as _profile_models, # noqa: F401 task as _task_models, # noqa: F401 ) diff --git a/backend/src/core/logger.py b/backend/src/core/logger.py index 781c7e33..b7118e71 100755 --- a/backend/src/core/logger.py +++ b/backend/src/core/logger.py @@ -271,7 +271,10 @@ def explore(self, msg, *args, **kwargs): Passes structured ``extra`` data so CotJsonFormatter produces proper JSON. """ user_extra = kwargs.pop('extra', {}) + error_val = kwargs.pop('error', None) extra = {'marker': 'EXPLORE', 'intent': msg} + if error_val is not None: + extra['error'] = error_val extra.update(user_extra) self.warning(msg, *args, extra=extra, **kwargs) # #endregion explore @@ -285,7 +288,10 @@ def reason(self, msg, *args, **kwargs): Passes structured ``extra`` data so CotJsonFormatter produces proper JSON. """ user_extra = kwargs.pop('extra', {}) + error_val = kwargs.pop('error', None) extra = {'marker': 'REASON', 'intent': msg} + if error_val is not None: + extra['error'] = error_val extra.update(user_extra) self.debug(msg, *args, extra=extra, **kwargs) # #endregion reason @@ -299,7 +305,10 @@ def reflect(self, msg, *args, **kwargs): Passes structured ``extra`` data so CotJsonFormatter produces proper JSON. """ user_extra = kwargs.pop('extra', {}) + error_val = kwargs.pop('error', None) extra = {'marker': 'REFLECT', 'intent': msg} + if error_val is not None: + extra['error'] = error_val extra.update(user_extra) self.debug(msg, *args, extra=extra, **kwargs) # #endregion reflect diff --git a/backend/src/core/scheduler.py b/backend/src/core/scheduler.py index c2274503..2320554a 100644 --- a/backend/src/core/scheduler.py +++ b/backend/src/core/scheduler.py @@ -88,6 +88,41 @@ class SchedulerService: except Exception as e: logger.explore("Failed to load translation schedules on startup", extra={"error": str(e)}) + # Re-register active validation policies with schedules + try: + from ..models.llm import ValidationPolicy + db = SessionLocal() + try: + active_policies = ( + db.query(ValidationPolicy) + .filter( + ValidationPolicy.is_active.is_(True), + ValidationPolicy.schedule_days.isnot(None), + ) + .all() + ) + for policy in active_policies: + schedule_days = policy.schedule_days or [] + if not schedule_days: + continue + ws = policy.window_start + if ws is None: + continue + # Build cron: minute hour * * day-of-week + dow = ",".join(str(d) for d in sorted(schedule_days)) + cron = f"{ws.minute} {ws.hour} * * {dow}" + self.add_validation_job( + policy_id=policy.id, + cron_expression=cron, + app_timezone=config.settings.app_timezone, + ) + if active_policies: + logger.reason(f"Loaded {len(active_policies)} active validation schedule(s)") + finally: + db.close() + except Exception as e: + logger.explore("Failed to load validation schedules on startup", + extra={"error": str(e)}) # #endregion load_schedules # #region add_backup_job [TYPE Function] # @PURPOSE: Adds a scheduled backup job for an environment. @@ -197,6 +232,153 @@ class SchedulerService: self.loop, ) # #endregion _trigger_backup + # #region add_validation_job [C:3] [TYPE Function] [SEMANTICS scheduler,validation,cron,apscheduler] + # @BRIEF Register a validation policy schedule with APScheduler. + # @PRE policy_id and cron_expression are valid strings. + # @POST A new APScheduler job is registered or replaced if it already exists. + # @SIDE_EFFECT Mutates APScheduler state; calls _trigger_validation on trigger. + # @RELATION DEPENDS_ON -> [_trigger_validation] + def add_validation_job(self, policy_id: str, cron_expression: str, app_timezone: str = "Europe/Moscow") -> None: + with belief_scope( + "SchedulerService.add_validation_job", + f"policy_id={policy_id}, cron={cron_expression}", + ): + from zoneinfo import ZoneInfo + + job_id_aps = f"validation_{policy_id}" + try: + tz = ZoneInfo(app_timezone) + self.scheduler.add_job( + self._trigger_validation, + CronTrigger.from_crontab(cron_expression, timezone=tz), + id=job_id_aps, + args=[policy_id], + replace_existing=True, + ) + logger.reason( + f"Validation schedule registered: {job_id_aps} ({cron_expression}) [{app_timezone}]" + ) + except Exception as e: + logger.explore( + f"Failed to register validation schedule: {job_id_aps}", + extra={"error": str(e)}, + ) + # #endregion add_validation_job + # #region remove_validation_job [C:2] [TYPE Function] [SEMANTICS scheduler,validation,remove,apscheduler] + # @BRIEF Remove a validation policy schedule from APScheduler. + # @PRE policy_id is a valid string. + # @POST The APScheduler job is removed if it exists; silently ignored otherwise. + # @SIDE_EFFECT Mutates APScheduler state. + def remove_validation_job(self, policy_id: str) -> None: + with belief_scope( + "SchedulerService.remove_validation_job", + f"policy_id={policy_id}", + ): + job_id_aps = f"validation_{policy_id}" + try: + self.scheduler.remove_job(job_id_aps) + logger.info(f"Validation schedule removed: {job_id_aps}") + except Exception: + logger.reason(f"Validation schedule not found (already removed): {job_id_aps}") + # #endregion remove_validation_job + # #region reload_validation_policy [C:2] [TYPE Function] [SEMANTICS scheduler,validation,reload,apscheduler] + # @BRIEF Reload a single validation policy schedule — calls remove then add. + # @PRE policy_id is a valid ValidationPolicy id with schedule data in DB. + # @POST Old job is removed; new job is registered if policy is active and has schedule_days. + # @SIDE_EFFECT Mutates APScheduler state; queries ValidationPolicy from DB. + def reload_validation_policy(self, policy_id: str, app_timezone: str = "Europe/Moscow") -> None: + with belief_scope( + "SchedulerService.reload_validation_policy", + f"policy_id={policy_id}", + ): + self.remove_validation_job(policy_id) + try: + from ..models.llm import ValidationPolicy + db = SessionLocal() + try: + policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first() + if not policy: + logger.reason(f"Policy {policy_id} not found; schedule removed") + return + if not policy.is_active: + logger.reason(f"Policy {policy_id} is inactive; schedule removed") + return + schedule_days = policy.schedule_days or [] + if not schedule_days or policy.window_start is None: + logger.reason(f"Policy {policy_id} has no schedule; nothing to register") + return + dow = ",".join(str(d) for d in sorted(schedule_days)) + ws = policy.window_start + cron = f"{ws.minute} {ws.hour} * * {dow}" + self.add_validation_job(policy_id, cron, app_timezone=app_timezone) + finally: + db.close() + except Exception as e: + logger.explore( + f"Failed to reload validation policy {policy_id}", + extra={"error": str(e)}, + ) + # #endregion reload_validation_policy + # #region _trigger_validation [C:3] [TYPE Function] [SEMANTICS scheduler,validation,trigger] + # @BRIEF APScheduler job handler — triggers validation runs for a policy. + # @PRE policy_id is a valid ValidationPolicy id with dashboard_ids. + # @POST A validation task is spawned via TaskManager for each dashboard in the policy. + # @SIDE_EFFECT Creates TaskRecord entries for validation runs; logs progress. + def _trigger_validation(self, policy_id: str) -> None: + seed_trace_id() + with belief_scope("SchedulerService._trigger_validation", f"policy_id={policy_id}"): + logger.reason(f"Triggering scheduled validation for policy {policy_id}") + db = SessionLocal() + try: + from ..models.llm import ValidationPolicy + + policy = db.query(ValidationPolicy).filter(ValidationPolicy.id == policy_id).first() + if not policy: + logger.explore(f"Validation policy not found: {policy_id}") + return + if not policy.is_active: + logger.reason(f"Validation policy {policy_id} is no longer active; skipping") + return + dashboard_ids = list(policy.dashboard_ids or []) + if not dashboard_ids: + logger.explore(f"Validation policy {policy_id} has no dashboards; skipping") + return + + ws = policy.window_start + we = policy.window_end + today = date.today() + scheduled_times = ThrottledSchedulerConfigurator.calculate_schedule( + window_start=ws, + window_end=we or time(ws.hour, ws.minute + 30), + dashboard_ids=dashboard_ids, + current_date=today, + ) + + for idx, dash_id in enumerate(dashboard_ids): + sched_time = scheduled_times[idx] if idx < len(scheduled_times) else scheduled_times[-1] + params: dict = { + "dashboard_id": dash_id, + "environment_id": policy.environment_id, + "provider_id": policy.provider_id or "", + "policy_id": policy_id, + } + asyncio.run_coroutine_threadsafe( + self.task_manager.create_task( + plugin_id="llm_dashboard_validation", params=params + ), + self.loop, + ) + logger.reason( + f"Scheduled validation for dashboard {dash_id} at {sched_time.isoformat()}" + ) + except Exception as e: + logger.explore( + f"Error triggering validation for policy {policy_id}", + extra={"error": str(e)}, + ) + finally: + db.close() + # #endregion _trigger_validation # #endregion SchedulerService # #region ThrottledSchedulerConfigurator [C:5] [TYPE Class] [SEMANTICS scheduler, throttling, distribution] # @BRIEF Distributes validation tasks evenly within an execution window. diff --git a/backend/src/core/superset_client/__init__.py b/backend/src/core/superset_client/__init__.py index 8f468a11..4ce5ae5e 100644 --- a/backend/src/core/superset_client/__init__.py +++ b/backend/src/core/superset_client/__init__.py @@ -25,6 +25,7 @@ from ._charts import SupersetChartsMixin from ._dashboards_crud import SupersetDashboardsCrudMixin from ._dashboards_filters import SupersetDashboardsFiltersMixin from ._dashboards_list import SupersetDashboardsListMixin +from ._dashboards_write import SupersetDashboardsWriteMixin from ._databases import SupersetDatabasesMixin from ._datasets import SupersetDatasetsMixin from ._datasets_preview import SupersetDatasetsPreviewMixin @@ -47,6 +48,7 @@ from ._user_projection import SupersetUserProjectionMixin # @RELATION INHERITS -> [SupersetDatasetsPreviewMixin] # @RELATION INHERITS -> [SupersetDatasetsPreviewFiltersMixin] # @RELATION INHERITS -> [SupersetDatabasesMixin] +# @RELATION INHERITS -> [SupersetDashboardsWriteMixin] class SupersetClient( SupersetDatabasesMixin, SupersetDatasetsPreviewFiltersMixin, @@ -56,6 +58,7 @@ class SupersetClient( SupersetDashboardsCrudMixin, SupersetDashboardsFiltersMixin, SupersetDashboardsListMixin, + SupersetDashboardsWriteMixin, SupersetUserProjectionMixin, SupersetClientBase, ): diff --git a/backend/src/core/superset_client/_dashboards_write.py b/backend/src/core/superset_client/_dashboards_write.py new file mode 100644 index 00000000..44565b6c --- /dev/null +++ b/backend/src/core/superset_client/_dashboards_write.py @@ -0,0 +1,291 @@ +# #region SupersetDashboardsWriteMixin [C:4] [TYPE Module] [SEMANTICS superset, dashboard, chart, write, maintenance, banner] +# @BRIEF Dashboard write mixin for SupersetClient — markdown chart CRUD and layout manipulation for maintenance banners. +# @LAYER Infra +# @RELATION DEPENDS_ON -> [SupersetClientBase] +# @RELATION DEPENDS_ON -> [SupersetChartsMixin] +# @RELATION DEPENDS_ON -> [LayoutUtils] +# @SIDE_EFFECT Creates, updates, deletes markdown charts & modifies dashboard layout via Superset API. +# @DATA_CONTRACT Input: dashboard_id / chart_id / markdown_text → Output: API response dict or chart_id int +# @INVARIANT All network operations use self.network.request() +# @RATIONALE Extracted from monolithic superset_client to satisfy INV_7. +# Uses belief_scope with REASON/REFLECT/EXPLORE markers for all C4 operations per Std.Semantics.Python. + +import json +from typing import Any, cast + +from ..logger import belief_scope, logger as app_logger +from ._layout_utils import ( + insert_banner_markdown_at_top, + parse_position_json, + remove_banner_from_position, + update_banner_markdown_content, +) + +app_logger = cast(Any, app_logger) + + +# #region SupersetDashboardsWriteMixin [C:4] [TYPE Class] +# @BRIEF Mixin providing markdown chart CRUD and dashboard layout manipulation for maintenance banners. +# @RELATION DEPENDS_ON -> [SupersetClientBase] +# @RELATION DEPENDS_ON -> [SupersetChartsMixin] +class SupersetDashboardsWriteMixin: + """Mixin for creating/updating/deleting markdown charts and manipulating dashboard layouts.""" + + # #region create_markdown_chart [C:3] [TYPE Function] + # @BRIEF Create a markdown chart and return the new chart ID. + # @PRE dashboard_id exists in Superset. markdown_text not empty. + # @POST Returns chart_id (int). Chart is NOT yet placed in dashboard layout. + # @SIDE_EFFECT Creates a new chart resource in Superset. + # @RELATION CALLS -> [self.network.request] + def create_markdown_chart(self, dashboard_id: int, markdown_text: str) -> int: + with belief_scope( + "SupersetDashboardsWriteMixin.create_markdown_chart", + f"dashboard_id={dashboard_id}", + ): + app_logger.reason( + "Creating markdown chart", + extra={"dashboard_id": dashboard_id, "len": len(markdown_text)}, + ) + datasource_id = self._resolve_markdown_datasource(dashboard_id) + payload = { + "dashboards": [dashboard_id], + "datasource_id": datasource_id, + "datasource_type": "table", + "slice_name": "Maintenance Banner", + "viz_type": "markdown", + "params": json.dumps({ + "markdown": markdown_text, + "viz_type": "markdown", + }), + } + try: + response = cast(dict, self.network.request( + method="POST", endpoint="/chart/", json=payload + )) + chart_id = int(response.get("id") or response.get("result", {}).get("id", 0)) + app_logger.reflect("Chart created", extra={"chart_id": chart_id}) + return chart_id + except Exception as e: + app_logger.explore("Create chart failed", extra={"dashboard_id": dashboard_id}, error=str(e)) + raise + # #endregion create_markdown_chart + + # #region update_markdown_chart [C:3] [TYPE Function] + # @BRIEF Update the markdown text of an existing markdown chart. + # @PRE chart_id exists and is a markdown chart. + # @POST Chart markdown content updated. + # @SIDE_EFFECT Modifies a chart resource in Superset. + def update_markdown_chart(self, chart_id: int, markdown_text: str) -> dict: + with belief_scope( + "SupersetDashboardsWriteMixin.update_markdown_chart", + f"chart_id={chart_id}", + ): + app_logger.reason("Updating markdown chart", extra={"chart_id": chart_id, "len": len(markdown_text)}) + payload = {"params": json.dumps({"markdown": markdown_text, "viz_type": "markdown"})} + try: + response = cast(dict, self.network.request(method="PUT", endpoint=f"/chart/{chart_id}", json=payload)) + app_logger.reflect("Chart updated", extra={"chart_id": chart_id}) + return response + except Exception as e: + app_logger.explore("Update chart failed", extra={"chart_id": chart_id}, error=str(e)) + raise + # #endregion update_markdown_chart + + # #region update_dashboard_layout [C:4] [TYPE Function] + # @BRIEF Insert a native MARKDOWN element at (0,0) with full width (12 cols), + # shift existing charts down. Uses native MARKDOWN for reliable rendering. + # @PRE dashboard_id exists in Superset. chart_id is used for tracking/DB. + # @POST MARKDOWN element placed at top; existing items shifted down. + # @SIDE_EFFECT Modifies dashboard layout JSON. + def update_dashboard_layout(self, dashboard_id: int, chart_id: int) -> dict: + with belief_scope( + "SupersetDashboardsWriteMixin.update_dashboard_layout", + f"dashboard_id={dashboard_id}, chart_id={chart_id}", + ): + app_logger.reason( + "Updating layout with native MARKDOWN", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id}, + ) + try: + dashboard = cast(dict, self.network.request( + method="GET", endpoint=f"/dashboard/{dashboard_id}" + )) + result = dashboard.get("result", dashboard) + position_json = parse_position_json(result.get("position_json", "{}")) + + # Use native MARKDOWN element inside a ROW, connected to GRID_ID + placeholder = "*Maintenance banner*" + insert_banner_markdown_at_top(position_json, chart_id, placeholder) + + response = cast(dict, self.network.request( + method="PUT", endpoint=f"/dashboard/{dashboard_id}", + json={"position_json": json.dumps(position_json)}, + )) + app_logger.reflect( + "Layout updated with native MARKDOWN", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id}, + ) + return response + except Exception as e: + app_logger.explore( + "Layout update failed", + extra={"dashboard_id": dashboard_id}, + error=str(e), + ) + raise + # #endregion update_dashboard_layout + + # #region remove_chart_from_layout [C:3] [TYPE Function] + # @BRIEF Remove banner markdown element from dashboard layout without deleting the chart. + # @PRE dashboard_id exists. chart_id exists in layout as MARKDOWN-banner-{chart_id}. + # @POST MARKDOWN element removed from position_json; items shifted up. + # @SIDE_EFFECT Modifies dashboard layout JSON. + def remove_chart_from_layout(self, dashboard_id: int, chart_id: int) -> dict: + with belief_scope( + "SupersetDashboardsWriteMixin.remove_chart_from_layout", + f"dashboard_id={dashboard_id}, chart_id={chart_id}", + ): + app_logger.reason( + "Removing banner from layout", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id}, + ) + try: + dashboard = cast(dict, self.network.request( + method="GET", endpoint=f"/dashboard/{dashboard_id}" + )) + result = dashboard.get("result", dashboard) + position_json = parse_position_json(result.get("position_json", "{}")) + # Remove new MARKDOWN+ROW pair (old CHART-{id} format no longer created) + remove_banner_from_position(position_json, chart_id) + + response = cast(dict, self.network.request( + method="PUT", endpoint=f"/dashboard/{dashboard_id}", + json={"position_json": json.dumps(position_json)}, + )) + app_logger.reflect( + "Banner removed from layout", + extra={"dashboard_id": dashboard_id}, + ) + return response + except Exception as e: + app_logger.explore( + "Remove from layout failed", + extra={"dashboard_id": dashboard_id}, + error=str(e), + ) + raise + # #endregion remove_chart_from_layout + + # #region delete_chart [C:3] [TYPE Function] + # @BRIEF Delete a chart from Superset by ID. + # @PRE chart_id exists. + # @POST Chart permanently deleted from Superset. + # @SIDE_EFFECT Destroys chart resource. + def delete_chart(self, chart_id: int) -> dict: + with belief_scope("SupersetDashboardsWriteMixin.delete_chart", f"chart_id={chart_id}"): + app_logger.reason("Deleting chart", extra={"chart_id": chart_id}) + try: + response = cast(dict, self.network.request(method="DELETE", endpoint=f"/chart/{chart_id}")) + app_logger.reflect("Chart deleted", extra={"chart_id": chart_id}) + return response + except Exception as e: + app_logger.explore("Delete chart failed", extra={"chart_id": chart_id}, error=str(e)) + raise + # #endregion delete_chart + + # #region update_banner_on_dashboard [C:3] [TYPE Function] + # @BRIEF Update the content of a native MARKDOWN banner element on a dashboard. + # @PRE dashboard_id exists. chart_id used for key lookup. + # @POST MARKDOWN element content updated on dashboard. + # @SIDE_EFFECT Modifies dashboard layout JSON in Superset. + def update_banner_on_dashboard( + self, dashboard_id: int, chart_id: int, content: str + ) -> dict: + with belief_scope( + "SupersetDashboardsWriteMixin.update_banner_on_dashboard", + f"dashboard_id={dashboard_id}, chart_id={chart_id}", + ): + app_logger.reason( + "Updating banner content on dashboard", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id, "len": len(content)}, + ) + try: + dashboard = cast(dict, self.network.request( + method="GET", endpoint=f"/dashboard/{dashboard_id}" + )) + result = dashboard.get("result", dashboard) + position_json = parse_position_json(result.get("position_json", "{}")) + markdown_key = f"MARKDOWN-banner-{chart_id}" + update_banner_markdown_content(position_json, markdown_key, content) + response = cast(dict, self.network.request( + method="PUT", endpoint=f"/dashboard/{dashboard_id}", + json={"position_json": json.dumps(position_json)}, + )) + app_logger.reflect( + "Banner content updated on dashboard", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id}, + ) + return response + except Exception as e: + app_logger.explore( + "Update banner content failed", + extra={"dashboard_id": dashboard_id}, + error=str(e), + ) + raise + # #endregion update_banner_on_dashboard + + + # #region get_dashboard_layout [C:3] [TYPE Function] + # @BRIEF Fetch the position_json layout of a dashboard. + # @PRE dashboard_id exists. + # @POST Returns the dashboard layout dict. + def get_dashboard_layout(self, dashboard_id: int) -> dict: + with belief_scope("SupersetDashboardsWriteMixin.get_dashboard_layout", f"dashboard_id={dashboard_id}"): + app_logger.reason("Fetching layout", extra={"dashboard_id": dashboard_id}) + try: + dashboard = cast(dict, self.network.request(method="GET", endpoint=f"/dashboard/{dashboard_id}")) + result = dashboard.get("result", dashboard) + layout = parse_position_json(result.get("position_json", "{}")) + app_logger.reflect("Layout fetched", extra={"dashboard_id": dashboard_id, "items": len(layout)}) + return layout + except Exception as e: + app_logger.explore("Fetch layout failed", extra={"dashboard_id": dashboard_id}, error=str(e)) + raise + # #endregion get_dashboard_layout + + # #region _resolve_markdown_datasource [C:2] [TYPE Function] + # @BRIEF Find a valid datasource_id for markdown chart creation. + # @PRE dashboard_id exists. + # @POST Returns an integer datasource_id. + def _resolve_markdown_datasource(self, dashboard_id: int) -> int: + with belief_scope("_resolve_markdown_datasource", f"dashboard_id={dashboard_id}"): + try: + datasets_response = cast(dict, self.network.request( + method="GET", endpoint=f"/dashboard/{dashboard_id}/datasets" + )) + datasets = datasets_response.get("result", []) + if datasets: + ds_id = datasets[0].get("id") + if ds_id: + return int(ds_id) + except Exception: + app_logger.explore("Dashboard datasets fetch failed, falling back", + extra={"dashboard_id": dashboard_id}, error="Dashboard datasets endpoint failed") + try: + all_ds = cast(dict, self.network.request( + method="GET", endpoint="/dataset/", + params={"q": json.dumps({"columns": ["id"], "page_size": 1, "page": 0})}, + )) + ds_list = all_ds.get("result", []) + if ds_list: + ds_id = ds_list[0].get("id") + if ds_id: + return int(ds_id) + except Exception: + app_logger.explore("No datasets available", extra={}, error="Global dataset list failed") + raise RuntimeError("Cannot create markdown chart: no datasets available in Superset.") + # #endregion _resolve_markdown_datasource + +# #endregion SupersetDashboardsWriteMixin +# #endregion SupersetDashboardsWriteMixin diff --git a/backend/src/core/superset_client/_datasets.py b/backend/src/core/superset_client/_datasets.py index ad34991e..9c05ed2a 100644 --- a/backend/src/core/superset_client/_datasets.py +++ b/backend/src/core/superset_client/_datasets.py @@ -146,7 +146,13 @@ class SupersetDatasetsMixin: dashboards_data = related_objects["result"].get("dashboards", []) else: dashboards_data = [] - for dash in dashboards_data: + # related_objects returns {"count": N, "result": [...]} — extract the array + dashboards_list = ( + dashboards_data.get("result", []) + if isinstance(dashboards_data, dict) + else dashboards_data + ) + for dash in dashboards_list: if isinstance(dash, dict): dash_id = dash.get("id") if dash_id is None: diff --git a/backend/src/core/superset_client/_layout_utils.py b/backend/src/core/superset_client/_layout_utils.py new file mode 100644 index 00000000..2bab085d --- /dev/null +++ b/backend/src/core/superset_client/_layout_utils.py @@ -0,0 +1,197 @@ +# #region LayoutUtils [C:2] [TYPE Module] [SEMANTICS superset, dashboard, layout, position, json] +# @BRIEF Utility functions for manipulating Superset dashboard position_json layout. +# @LAYER Infra +# @RELATION DEPENDS_ON -> [json] +# @RELATION DEPENDS_ON -> [SupersetDashboardsWriteMixin] +# @RATIONALE Extracted from SupersetDashboardsWriteMixin to stay under INV_7 400 LOC. + +import json +import re +from typing import Any + + +# #region parse_position_json [C:1] [TYPE Function] +# @BRIEF Parse position_json from a dashboard API response (may be string or dict). +# @PRE raw_position is a string, dict, or None. +# @POST Returns a dict. +def parse_position_json(raw_position: Any) -> dict: + if isinstance(raw_position, str): + return json.loads(raw_position) if raw_position.strip() else {} + if isinstance(raw_position, dict): + return raw_position + return {} +# #endregion parse_position_json + + +# #region _estimate_markdown_height [C:1] [TYPE Function] +# @BRIEF Estimate grid height for a MARKDOWN element based on HTML content. +# Counts block-level tags and newlines to estimate visual line count, +# then converts to Superset grid units (1 unit ≈ 2 text lines + padding). +# @PRE content is a string of HTML/Markdown. +# @POST Returns int between 19 and 200 inclusive. +def _estimate_markdown_height(content: str) -> int: + """Estimate MARKDOWN element height (position JSON units). + + Model: total = CSS min-height(40px) + content pixel height. + Content height = text_lines × line-height(22px) + container padding. + 1 position JSON unit ≈ 8 rendered pixels. + + Reference: user's banner (5 text lines, padding:12) → height=21 → ~168px. + """ + if not content: + return 19 + + # Detect container padding (e.g. padding:12 → 24px vertical) + pad_match = re.search(r'padding\s*:\s*(\d+)', content) + container_padding = int(pad_match.group(1)) * 2 if pad_match else 0 + + # Strip HTML to get plain text + plain_text = re.sub(r'<[^>]+>', '', content) + plain_text = re.sub(r'\s+', ' ', plain_text).strip() + + if not plain_text: + return 19 + + # Text lines (wrapping at ~40 chars/line at 12col width) + text_lines = len(plain_text) // 40 + 1 + + # Content height (px): line-height(~22px) × lines + container padding + content_px = text_lines * 22 + container_padding + + # Total: CSS min-height(40px) + content + total_px = 40 + content_px + + # Convert to position JSON units (÷8) + height = max(19, total_px // 8) + return min(200, height) +# #endregion _estimate_markdown_height + + +# #region _generate_banner_id [C:1] [TYPE Function] +# @BRIEF Generate a deterministic row and markdown key for a banner chart. +def _generate_banner_id(chart_id: int) -> tuple[str, str]: + row_key = f"ROW-banner-{chart_id}" + md_key = f"MARKDOWN-banner-{chart_id}" + return row_key, md_key +# #endregion _generate_banner_id + + +# #region insert_banner_markdown_at_top [C:2] [TYPE Function] +# @BRIEF Insert a ROW + native MARKDOWN pair at the top of the dashboard grid. +# Creates a ROW entry connected to GRID_ID, and a MARKDOWN child inside it. +# Shifts all existing grid ROWs down by 2 rows. +# @PRE position_json is a mutable dict. content is the HTML/markdown string. +# chart_id is the database chart_id for key generation. +# @POST position_json is mutated; ROW + MARKDOWN inserted at top of GRID. +def insert_banner_markdown_at_top( + position_json: dict, chart_id: int, content: str +) -> dict: + row_key, md_key = _generate_banner_id(chart_id) + + # Shift existing ROW y-positions down + for key, value in list(position_json.items()): + if isinstance(value, dict): + meta = value.get("meta", {}) + if isinstance(meta, dict): + cur_y = meta.get("y", 0) + if isinstance(cur_y, (int, float)): + meta["y"] = cur_y + 2 + + # Add MARKDOWN entry with adaptive height + height = _estimate_markdown_height(content) + position_json[md_key] = { + "type": "MARKDOWN", + "id": md_key, + "children": [], + "parents": ["ROOT_ID", "GRID_ID", row_key], + "meta": { + "code": content, + "width": 12, + "height": height, + "y": 0, + }, + } + + # Add ROW entry connected to GRID_ID + position_json[row_key] = { + "type": "ROW", + "id": row_key, + "children": [md_key], + "parents": ["ROOT_ID", "GRID_ID"], + "meta": { + "background": "BACKGROUND_TRANSPARENT", + "y": 0, + }, + } + + # Insert ROW at beginning of GRID_ID children + grid = position_json.get("GRID_ID") + if grid and isinstance(grid, dict): + grid_children = grid.get("children", []) + if isinstance(grid_children, list): + if row_key in grid_children: + grid_children.remove(row_key) + grid_children.insert(0, row_key) + + return position_json +# #endregion insert_banner_markdown_at_top + + +# #region update_banner_markdown_content [C:1] [TYPE Function] +# @BRIEF Update the code content and adaptive height of an existing banner markdown element. +# @PRE position_json has markdown_key. content is the new HTML/markdown string. +# @POST position_json is mutated; markdown content and height updated. +def update_banner_markdown_content( + position_json: dict, markdown_key: str, content: str +) -> dict: + if markdown_key in position_json: + meta = position_json[markdown_key].get("meta", {}) + if isinstance(meta, dict): + meta["code"] = content + meta["height"] = _estimate_markdown_height(content) + return position_json +# #endregion update_banner_markdown_content + + +# #region remove_banner_from_position [C:2] [TYPE Function] +# @BRIEF Remove the banner ROW + MARKDOWN pair from the position dict and GRID children. +# Shifts remaining items up by 2 if the banner was at y=0. +# @PRE position_json is a mutable dict. chart_id identifies the banner. +# @POST position_json is mutated; ROW and MARKDOWN entries removed. +def remove_banner_from_position(position_json: dict, chart_id: int) -> dict: + row_key, md_key = _generate_banner_id(chart_id) + + removed_y = None + # Remove MARKDOWN entry + if md_key in position_json: + markdown_data = position_json[md_key] + if isinstance(markdown_data, dict): + meta = markdown_data.get("meta", {}) + if isinstance(meta, dict): + removed_y = meta.get("y", 0) + del position_json[md_key] + + # Remove ROW entry + if row_key in position_json: + del position_json[row_key] + + # Remove ROW from GRID_ID children + grid = position_json.get("GRID_ID") + if grid and isinstance(grid, dict): + grid_children = grid.get("children", []) + if isinstance(grid_children, list) and row_key in grid_children: + grid_children.remove(row_key) + + # Shift remaining items up + if removed_y is not None and removed_y == 0: + for key, value in position_json.items(): + if isinstance(value, dict): + meta = value.get("meta", {}) + if isinstance(meta, dict): + cur_y = meta.get("y", 0) + if isinstance(cur_y, (int, float)) and cur_y > 0: + meta["y"] = cur_y - 2 + return position_json +# #endregion remove_banner_from_position + +# #endregion LayoutUtils diff --git a/backend/src/core/timezone.py b/backend/src/core/timezone.py new file mode 100644 index 00000000..ec058cdc --- /dev/null +++ b/backend/src/core/timezone.py @@ -0,0 +1,91 @@ +# #region AppTimezone [C:3] [TYPE Module] [SEMANTICS core,timezone,utilities,datetime] +# @BRIEF Application-level timezone utilities. Reads APP_TIMEZONE from env (default Europe/Moscow) +# and provides helpers for converting UTC datetimes to the configured timezone. +# @RELATION CALLED_BY -> [ConfigManager] +# @RELATION DEPENDS_ON -> [GlobalSettings.app_timezone] +# @RATIONALE Centralised timezone resolution avoids scattering ZoneInfo() calls across the codebase. +# All API responses should emit localised timestamps; internal storage remains UTC. +# @REJECTED Storing non-UTC in the database rejected — UTC is the canonical best practice for +# persistence; timezone conversion is a presentation-layer concern. +from datetime import datetime +import os +from zoneinfo import ZoneInfo + + +# #region _get_default_tz_name [C:1] [TYPE Function] +# @BRIEF Read APP_TIMEZONE from env, fall back to Europe/Moscow. +# @PRE: Environment is loaded (dotenv or os.environ). +# @POST: Returns a valid IANA timezone string. +def _get_default_tz_name() -> str: + return os.getenv("APP_TIMEZONE", "Europe/Moscow") +# #endregion _get_default_tz_name + + +# #region get_app_timezone [C:1] [TYPE Function] +# @BRIEF Return cached ZoneInfo for the configured application timezone. +# @SIDE_EFFECT: Reads os.environ on first call; result is cached. +# @POST: Returns a ZoneInfo instance matching APP_TIMEZONE env var. +_APP_TZ_CACHE: ZoneInfo | None = None + +def get_app_timezone() -> ZoneInfo: + global _APP_TZ_CACHE + if _APP_TZ_CACHE is None: + _APP_TZ_CACHE = ZoneInfo(_get_default_tz_name()) + return _APP_TZ_CACHE +# #endregion get_app_timezone + + +# #region invalidate_timezone_cache [C:1] [TYPE Function] +# @BRIEF Reset the cached ZoneInfo so the next get_app_timezone() call re-reads from env/DB. +# @POST: _APP_TZ_CACHE is set to None; subsequent get_app_timezone() will re-resolve. +# @RATIONALE: Called after PATCH /settings/consolidated updates app_timezone. +def invalidate_timezone_cache() -> None: + global _APP_TZ_CACHE + _APP_TZ_CACHE = None +# #endregion invalidate_timezone_cache + + +# #region validate_timezone [C:1] [TYPE Function] +# @BRIEF Validate that a timezone string is a known IANA timezone. +# @PRE: tz_name is a string. +# @POST: Returns True if ZoneInfo accepts the name, False otherwise. +def validate_timezone(tz_name: str) -> bool: + try: + ZoneInfo(tz_name) + return True + except (KeyError, TypeError): + return False +# #endregion validate_timezone + + +# #region localize [C:1] [TYPE Function] +# @BRIEF Convert a timezone-aware or naive UTC datetime to the configured app timezone. +# @PRE: If dt is timezone-naive, it is assumed to be UTC. +# @POST: Returns a datetime with the app timezone attached (astimezone). +def localize(dt: datetime | None) -> datetime | None: + if dt is None: + return None + if dt.tzinfo is None: + dt = dt.replace(tzinfo=ZoneInfo("UTC")) + return dt.astimezone(get_app_timezone()) +# #endregion localize + + +# #region now [C:1] [TYPE Function] +# @BRIEF Get current time in the configured application timezone. +# @POST: Returns timezone-aware datetime in the app timezone. +def now() -> datetime: + return datetime.now(get_app_timezone()) +# #endregion now + + +# #region format_timezone_offset [C:1] [TYPE Function] +# @BRIEF Return the UTC offset string for the configured timezone (e.g. "+03:00"). +# @POST: Returns string like "+03:00" or "+00:00". +def format_timezone_offset() -> str: + offset = now().strftime("%z") + if offset: + return f"{offset[:3]}:{offset[3:]}" + return "+00:00" +# #endregion format_timezone_offset +# #endregion AppTimezone diff --git a/backend/src/models/maintenance.py b/backend/src/models/maintenance.py new file mode 100644 index 00000000..d2b231d4 --- /dev/null +++ b/backend/src/models/maintenance.py @@ -0,0 +1,215 @@ +# #region MaintenanceModels [C:2] [TYPE Module] [SEMANTICS sqlalchemy, maintenance, banner, event, settings, model] +# @BRIEF SQLAlchemy models for the Maintenance Banner feature: event, banner, dashboard state, and settings. +# @LAYER Domain +# @RELATION DEPENDS_ON -> [sqlalchemy] +# @RELATION DEPENDS_ON -> [MappingBase] +# @INVARIANT MaintenanceDashboardBanner has unique partial index on (environment_id, dashboard_id) WHERE status='active' +# @INVARIANT MaintenanceSettings is a singleton row (id='default') enforced by CheckConstraint + +import enum +import uuid + +from sqlalchemy import ( + CheckConstraint, + Column, + DateTime, + Enum as SQLEnum, + ForeignKey, + Index, + Integer, + JSON, + String, + Text, +) +from sqlalchemy.orm import relationship +from sqlalchemy.sql import func + +from .mapping import Base + + +# #region MaintenanceEventStatus [C:1] [TYPE Class] +class MaintenanceEventStatus(str, enum.Enum): + PENDING = "pending" + APPLYING = "applying" + ACTIVE = "active" + PARTIAL = "partial" + ENDING = "ending" + COMPLETED = "completed" + FAILED = "failed" +# #endregion MaintenanceEventStatus + + +# #region MaintenanceDashboardBannerStatus [C:1] [TYPE Class] +class MaintenanceDashboardBannerStatus(str, enum.Enum): + ACTIVE = "active" + REMOVED = "removed" +# #endregion MaintenanceDashboardBannerStatus + + +# #region MaintenanceDashboardStateStatus [C:1] [TYPE Class] +class MaintenanceDashboardStateStatus(str, enum.Enum): + PENDING_APPLY = "pending_apply" + ACTIVE = "active" + REMOVING = "removing" + REMOVED = "removed" + APPLY_FAILED = "apply_failed" + REMOVAL_FAILED = "removal_failed" +# #endregion MaintenanceDashboardStateStatus + + +# #region DashboardScope [C:1] [TYPE Class] +class DashboardScope(str, enum.Enum): + PUBLISHED_ONLY = "published_only" + DRAFT_ONLY = "draft_only" + ALL = "all" +# #endregion DashboardScope + + +# #region MaintenanceEvent [C:1] [TYPE Class] +# @BRIEF A record of a maintenance event with table list, time window, status, and linked dashboard states. +# @RELATION DEPENDS_ON -> [MaintenanceDashboardState] +class MaintenanceEvent(Base): + __tablename__ = "maintenance_events" + + id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()), index=True) + task_id = Column(String, nullable=True, index=True) + environment_id = Column(String, nullable=False) + tables = Column(JSON, nullable=False) + start_time = Column(DateTime(timezone=True), nullable=False) + end_time = Column(DateTime(timezone=True), nullable=True) + message = Column(Text, nullable=True) + status = Column( + SQLEnum(MaintenanceEventStatus), + nullable=False, + default=MaintenanceEventStatus.PENDING, + index=True, + ) + created_at = Column(DateTime(timezone=True), server_default=func.now()) + updated_at = Column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + dashboard_states = relationship( + "MaintenanceDashboardState", + back_populates="maintenance_event", + cascade="all, delete-orphan", + ) +# #endregion MaintenanceEvent + + +# #region MaintenanceDashboardBanner [C:1] [TYPE Class] +# @BRIEF The canonical "one chart per dashboard" entity. Unique partial index enforces single active banner per dashboard. +# @INVARIANT Unique partial index (environment_id, dashboard_id) WHERE status='active' +class MaintenanceDashboardBanner(Base): + __tablename__ = "maintenance_dashboard_banners" + + id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()), index=True) + environment_id = Column(String, nullable=False) + dashboard_id = Column(Integer, nullable=False, index=True) + chart_id = Column(Integer, nullable=True) + banner_text = Column(Text, nullable=True) + status = Column( + SQLEnum(MaintenanceDashboardBannerStatus), + nullable=False, + default=MaintenanceDashboardBannerStatus.ACTIVE, + ) + created_at = Column(DateTime(timezone=True), server_default=func.now()) + updated_at = Column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + dashboard_states = relationship( + "MaintenanceDashboardState", back_populates="banner" + ) + + __table_args__ = ( + Index( + "ix_banner_unique_active", + "environment_id", + "dashboard_id", + unique=True, + postgresql_where=(status == "active"), + ), + ) +# #endregion MaintenanceDashboardBanner + + +# #region MaintenanceDashboardState [C:1] [TYPE Class] +# @BRIEF Links a maintenance event to a dashboard via a banner. Tracks per-dashboard-per-event lifecycle. +# @RELATION DEPENDS_ON -> [MaintenanceEvent] +# @RELATION DEPENDS_ON -> [MaintenanceDashboardBanner] +class MaintenanceDashboardState(Base): + __tablename__ = "maintenance_dashboard_states" + + id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()), index=True) + event_id = Column( + String, ForeignKey("maintenance_events.id"), nullable=False, index=True + ) + dashboard_id = Column(Integer, nullable=False, index=True) + banner_id = Column( + String, + ForeignKey("maintenance_dashboard_banners.id"), + nullable=True, + ) + status = Column( + SQLEnum(MaintenanceDashboardStateStatus), + nullable=False, + default=MaintenanceDashboardStateStatus.PENDING_APPLY, + ) + created_at = Column(DateTime(timezone=True), server_default=func.now()) + updated_at = Column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + maintenance_event = relationship( + "MaintenanceEvent", back_populates="dashboard_states" + ) + banner = relationship( + "MaintenanceDashboardBanner", back_populates="dashboard_states" + ) + + __table_args__ = ( + Index("ix_mds_dashboard_status", "dashboard_id", "status"), + ) +# #endregion MaintenanceDashboardState + + +# #region MaintenanceSettings [C:1] [TYPE Class] +# @BRIEF Single-row maintenance mode configuration. Enforces singleton via CheckConstraint(id='default'). +# @INVARIANT id must always be 'default' — enforced by CheckConstraint +class MaintenanceSettings(Base): + __tablename__ = "maintenance_settings" + + id = Column(String, primary_key=True, default="default") + target_environment_id = Column(String, nullable=False) + display_timezone = Column(String, nullable=False, default="UTC") + banner_template = Column( + Text, + nullable=False, + default=( + '

\n\n' + "## ⚠️ Технические работы\n\n" + "{message}\n\n" + "**Начало:** {start_time}\n" + "**Конец:** {end_time}\n\n" + "*Данные могут быть неполными или временно недоступны.*\n\n" + "
" + ), + ) + dashboard_scope = Column( + SQLEnum(DashboardScope), + nullable=False, + default=DashboardScope.PUBLISHED_ONLY, + ) + excluded_dashboard_ids = Column(JSON, nullable=False, default=list) + forced_dashboard_ids = Column(JSON, nullable=False, default=list) + updated_at = Column( + DateTime(timezone=True), server_default=func.now(), onupdate=func.now() + ) + + __table_args__ = ( + CheckConstraint("id = 'default'", name="ck_settings_singleton"), + ) +# #endregion MaintenanceSettings + +# #endregion MaintenanceModels diff --git a/backend/src/models/storage.py b/backend/src/models/storage.py index 7efcc44e..7b942c98 100644 --- a/backend/src/models/storage.py +++ b/backend/src/models/storage.py @@ -14,7 +14,7 @@ class FileCategory(str, Enum): # #region StorageConfig [C:1] [TYPE Class] # @BRIEF Configuration model for the storage system, defining paths and naming patterns. class StorageConfig(BaseModel): - root_path: str = Field(default="backups", description="Absolute path to the storage root directory.") + root_path: str = Field(default="/app/storage", description="Absolute path to the storage root directory.") backup_path: str = Field(default="backups", description="Subpath for backups.") repo_path: str = Field(default="repositories", description="Subpath for repositories.") backup_structure_pattern: str = Field(default="{category}/", description="Pattern for backup directory structure.") diff --git a/backend/src/plugins/git_plugin.py b/backend/src/plugins/git_plugin.py index 02409f2e..9c75e316 100644 --- a/backend/src/plugins/git_plugin.py +++ b/backend/src/plugins/git_plugin.py @@ -35,32 +35,22 @@ class GitPlugin(PluginBase): # region __init__ [TYPE Function] # @PURPOSE: Инициализирует плагин и его зависимости. - # @PRE: config.json exists or shared config_manager is available. + # @PRE: shared config_manager доступен через src.dependencies. # @POST: Инициализированы git_service и config_manager. def __init__(self): with belief_scope("GitPlugin.__init__"): app_logger.info("Initializing GitPlugin.") self.git_service = GitService() - # Robust config path resolution: - # 1. Try absolute path from src/dependencies.py style if possible - # 2. Try relative paths based on common execution patterns - if os.path.exists("../config.json"): - config_path = "../config.json" - elif os.path.exists("config.json"): - config_path = "config.json" - else: - # Fallback to the one initialized in dependencies if we can import it - try: - from src.dependencies import config_manager - self.config_manager = config_manager - app_logger.info("GitPlugin initialized using shared config_manager.") - return - except Exception: - config_path = "config.json" - - self.config_manager = ConfigManager(config_path) - app_logger.info(f"GitPlugin initialized with {config_path}") + # Используем shared config_manager из dependencies + try: + from src.dependencies import config_manager + self.config_manager = config_manager + app_logger.info("GitPlugin initialized using shared config_manager.") + except Exception as exc: + app_logger.error(f"GitPlugin: failed to get shared config_manager: {exc}") + self.config_manager = ConfigManager() + app_logger.info("GitPlugin initialized with fallback ConfigManager.") # endregion __init__ @property diff --git a/backend/src/plugins/llm_analysis/service.py b/backend/src/plugins/llm_analysis/service.py index c2cead62..add1930d 100644 --- a/backend/src/plugins/llm_analysis/service.py +++ b/backend/src/plugins/llm_analysis/service.py @@ -13,6 +13,7 @@ import base64 import io import json import os +import re import shutil import tempfile from typing import Any @@ -347,16 +348,19 @@ class ScreenshotService: # endregion ScreenshotService._save_debug_screenshot # region ScreenshotService.capture_dashboard [TYPE Function] [C:4] - # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP. + # @PURPOSE Captures a full-page screenshot of a dashboard using Playwright and CDP, plus diagnostic viewport screenshots of tabs that had chart load errors. # @PRE dashboard_id is a valid string, output_path is a writable path. # @POST Returns True if screenshot is saved successfully. Debug temp dir cleaned up on success, preserved on failure. - # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, writes a PNG file; creates and cleans up temp debug directory. + # Extra diagnostic screenshots saved as output_path__tab_{tab_text}.png for each tab with chart errors. + # @SIDE_EFFECT Launches a browser, performs UI login, switches tabs, writes PNG files; creates and cleans up temp debug directory. # @UX_STATE [Navigating] -> Loading dashboard UI - # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading + # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading. + # Collects errored_tabs — those where chart content fails to render within timeout. # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions # @UX_STATE [Capturing] -> Executing CDP screenshot - # @RATIONALE Uses tempfile.mkdtemp() for all debug screenshots; cleans up on success (shutil.rmtree), preserves on failure for diagnostic analysis. Pre-resize screenshot is saved to temp dir and auto-cleaned on success. - # @REJECTED Old approach saved debug .png files alongside output — accumulated permanently (F1). In-memory-only logging rejected — visual state cannot be captured in text. + # @UX_STATE [CapturingErroredTabs] -> Taking viewport screenshots of tabs with chart errors. + # @RATIONALE Errored tab screenshots give LLM diagnostic context — an error text description ("charts.length = 0") is not enough to diagnose a chart load failure; a visual screenshot shows whether the tab is empty, has a loading spinner, or renders a Superset error card. Uses tempfile.mkdtemp() for all debug screenshots; cleans up on success (shutil.rmtree), preserves on failure for diagnostic analysis. + # @REJECTED Always-screenshot-all-tabs rejected — ~20 tabs x 5s per screenshot = 100s overhead, most tabs healthy. Only errored + main gives diagnostic value at near-zero cost. Old approach saved debug .png files alongside output — accumulated permanently (F1). In-memory-only logging rejected — visual state cannot be captured in text. async def capture_dashboard(self, dashboard_id: str, output_path: str) -> bool: debug_dir = tempfile.mkdtemp(prefix="ss_screenshot_debug_") success = False @@ -587,12 +591,15 @@ class ScreenshotService: try: async with asyncio.timeout(SCREENSHOT_SERVICE_TIMEOUT_MS / 1000): # 1. Handle Tabs (Recursive switching) - # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading + # @UX_STATE [TabSwitching] -> Iterating through dashboard tabs to trigger lazy loading. + # Collects errored_tabs — those where chart content fails to render within timeout. + # These are later screenshotted individually for LLM diagnostic value. processed_tabs = set() + errored_tabs = [] # Collects {tab_text, depth, error} for tabs with chart load failures async def switch_tabs(depth=0): if depth > 3: - return # Limit recursion depth + return # Limit recursion depth tab_selectors = [ '.ant-tabs-nav-list .ant-tabs-tab', @@ -635,10 +642,22 @@ class ScreenshotService: }""", timeout=PLAYWRIGHT_WAIT_TIMEOUT_MS) except Exception: logger.warning(f"[TabSwitching] Content verification timed out for tab: {tab_text}") + errored_tabs.append({ + "tab_text": tab_text, + "tab_index": i, + "depth": depth, + "error": "content_verification_timeout" + }) await switch_tabs(depth + 1) except Exception as tab_e: logger.warning(f"[DEBUG][TabSwitching] Failed to process tab {i}: {tab_e}") + errored_tabs.append({ + "tab_text": f"tab_{depth}_{i}", + "tab_index": i, + "depth": depth, + "error": f"processing_exception: {tab_e!s}" + }) try: first_tab = found_tabs[0] @@ -660,6 +679,13 @@ class ScreenshotService: await switch_tabs() + # Log summary of errored tabs + if errored_tabs: + logger.info(f"[TabSwitching] {len(errored_tabs)} tab(s) with errors detected. " + f"Errored tabs: {[t['tab_text'] for t in errored_tabs]}") + else: + logger.info("[TabSwitching] No tab errors detected during preload") + # 2. Calculate full height for screenshot # @UX_STATE [CalculatingHeight] -> Determining dashboard dimensions full_height = await page.evaluate("""() => { @@ -757,12 +783,65 @@ class ScreenshotService: logger.info(f"[DIAGNOSTIC] Final screenshot saved: {output_path}") logger.info(f"[DIAGNOSTIC] Final screenshot size: {final_size} bytes ({final_size / 1024:.2f} KB)") - # DIAGNOSTIC: Get image dimensions + # DIAGNOSTIC: Get image dimensions try: with Image.open(output_path) as final_img: logger.info(f"[DIAGNOSTIC] Final screenshot dimensions: {final_img.width}x{final_img.height}") except Exception as img_err: logger.warning(f"[DIAGNOSTIC] Could not read final image dimensions: {img_err}") + + # 3. Screenshot errored tabs (diagnostic viewport shots) + # @UX_STATE [CapturingErroredTabs] -> Taking viewport screenshots of tabs with chart errors. + # Only screenshots tabs that had errors during preload, plus always keeps the main tab. + # Errored tab screenshots are viewport-only (no full-page resize) to minimize overhead. + if errored_tabs: + logger.info(f"[TabSwitching] Capturing {len(errored_tabs)} errored tab screenshot(s)...") + screenshotted_tabs = set() + for tab_info in errored_tabs: + try: + tab_text = tab_info["tab_text"] + + # Dedup: skip if already screenshotted + if tab_text in screenshotted_tabs: + continue + screenshotted_tabs.add(tab_text) + + # Sanitize tab text for filename + safe_tab = re.sub(r'[^\w\-_ ]', '', tab_text).strip().replace(' ', '_')[:40] + if not safe_tab: + safe_tab = f"tab_{tab_info.get('depth', 0)}_{tab_info.get('tab_index', 0)}" + + # Build tab path robustly (handle any extension or no extension) + base = output_path[:-4] if output_path.lower().endswith('.png') else output_path + tab_path = f"{base}__tab_{safe_tab}.png" + + # Switch to the errored tab — try exact text match first + errored_tab_el = page.get_by_role("tab", name=tab_text, exact=True) + if not await errored_tab_el.is_visible(): + # Fallback: try nth-child by index + tab_index = tab_info.get("tab_index") + if tab_index is not None: + errored_tab_el = page.locator('.ant-tabs-tab').nth(tab_index) + if await errored_tab_el.is_visible(): + await errored_tab_el.click() + await asyncio.sleep(0.5) + await self._wait_for_charts_stabilized(page, timeout_ms=PLAYWRIGHT_SHORT_TIMEOUT_MS) + await page.screenshot(path=tab_path, timeout=PLAYWRIGHT_SHORT_TIMEOUT_MS) + tab_size = os.path.getsize(tab_path) if os.path.exists(tab_path) else 0 + logger.info(f"[TabSwitching] Errored tab screenshot saved: {tab_path} ({tab_size} bytes)") + else: + logger.warning(f"[TabSwitching] Errored tab '{tab_text}' not visible, skipping screenshot") + except Exception as tab_shot_err: + logger.warning(f"[TabSwitching] Failed to screenshot errored tab '{tab_info.get('tab_text')}': {tab_shot_err}") + + # Return to first tab after errored tab screenshots + try: + first_tab_el = page.locator('.ant-tabs-nav-list .ant-tabs-tab').first + if await first_tab_el.is_visible(): + await first_tab_el.click() + await asyncio.sleep(0.5) + except Exception: + pass except asyncio.TimeoutError: logger.error(f"Screenshot capture timed out after {SCREENSHOT_SERVICE_TIMEOUT_MS}ms") try: diff --git a/backend/src/plugins/maintenance_banner.py b/backend/src/plugins/maintenance_banner.py new file mode 100644 index 00000000..3504ed6c --- /dev/null +++ b/backend/src/plugins/maintenance_banner.py @@ -0,0 +1,176 @@ +# #region MaintenanceBannerPlugin [C:4] [TYPE Module] [SEMANTICS plugin, maintenance, banner, execution, task] +# @BRIEF TaskManager plugin for executing maintenance banner operations (start, end, end-all). +# Dispatches to MaintenanceService based on operation type in params. +# @LAYER Plugin +# @RELATION IMPLEMENTS -> [PluginBase] +# @RELATION DEPENDS_ON -> [MaintenanceServiceModule] +# @RELATION DEPENDS_ON -> [SupersetClient] +# @RELATION DEPENDS_ON -> [TaskContext] +# @INVARIANT TaskManager executes this plugin with params containing operation and event_id. + +from typing import Any + +from ..core.database import SessionLocal +from ..core.logger import belief_scope, logger as app_logger +from ..core.plugin_base import PluginBase +from ..core.superset_client import SupersetClient +from ..core.task_manager.context import TaskContext +from ..dependencies import get_config_manager +from ..models.maintenance import MaintenanceSettings +from ..services.maintenance import end_all_maintenance, end_maintenance, start_maintenance + + +# #region MaintenanceBannerPlugin [C:4] [TYPE Class] +# @BRIEF Plugin for executing maintenance banner operations asynchronously via TaskManager. +# @RELATION CALLS -> [start_maintenance] +# @RELATION CALLS -> [end_maintenance] +# @RELATION CALLS -> [end_all_maintenance] +class MaintenanceBannerPlugin(PluginBase): + """TaskManager plugin for maintenance banner operations.""" + + # #region id [TYPE Property] + @property + def id(self) -> str: + return "maintenance_banner_apply" + # #endregion id + + # #region name [TYPE Property] + @property + def name(self) -> str: + return "Maintenance Banner" + # #endregion name + + # #region description [TYPE Property] + @property + def description(self) -> str: + return "Applies or removes maintenance banners on Superset dashboards." + # #endregion description + + # #region version [TYPE Property] + @property + def version(self) -> str: + return "1.0.0" + # #endregion version + + # #region ui_route [TYPE Property] + @property + def ui_route(self) -> str: + return "" # No UI route — async-only + # #endregion ui_route + + # #region get_schema [TYPE Function] + def get_schema(self) -> dict[str, Any]: + return { + "type": "object", + "properties": { + "operation": { + "type": "string", + "enum": ["start", "end", "end_all"], + "title": "Operation", + }, + "event_id": { + "type": "string", + "title": "Maintenance Event ID", + }, + "environment_id": { + "type": "string", + "title": "Target Environment ID", + }, + }, + "required": ["operation"], + } + # #endregion get_schema + + # #region execute [TYPE Function] [C:4] + # @BRIEF Execute maintenance operation based on params.operation. + # @PARAM params contains: operation (start|end|end_all), event_id, environment_id. + # @PARAM context TaskContext for logging. + # @PRE DB and Superset available. + # @POST Operation completed. Results returned as dict. + # @SIDE_EFFECT Modifies Superset dashboards, writes DB rows. + async def execute( + self, + params: dict[str, Any], + context: TaskContext | None = None, + ) -> dict[str, Any]: + with belief_scope("MaintenanceBannerPlugin.execute"): + operation = params.get("operation", "start") + event_id = params.get("event_id", "") + environment_id = params.get("environment_id", "") + + app_logger.reason( + "Executing maintenance operation", + extra={ + "operation": operation, + "event_id": event_id, + "environment_id": environment_id, + }, + ) + + db = SessionLocal() + try: + # Resolve environment + if not environment_id: + settings = db.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + if settings: + environment_id = settings.target_environment_id + + if not environment_id: + config_manager = get_config_manager() + envs = config_manager.get_environments() + if envs: + environment_id = envs[0].id + + env = None + config_manager = get_config_manager() + for e in config_manager.get_environments(): + if e.id == environment_id: + env = e + break + + if not env: + app_logger.explore( + "Environment not found", + extra={"environment_id": environment_id}, + error="EnvironmentNotFound", + ) + return {"status": "failed", "error": f"Environment {environment_id} not found"} + + superset_client = SupersetClient(env) + + if operation == "start": + if not event_id: + return {"status": "failed", "error": "event_id required for start"} + result = start_maintenance(event_id, db, superset_client) + elif operation == "end": + if not event_id: + return {"status": "failed", "error": "event_id required for end"} + result = end_maintenance(event_id, db, superset_client) + elif operation == "end_all": + result = end_all_maintenance(db, superset_client) + else: + result = {"status": "failed", "error": f"Unknown operation: {operation}"} + + db.commit() + app_logger.reflect( + "Maintenance operation completed", + extra={"operation": operation, "result": result}, + ) + return result + + except Exception as e: + db.rollback() + app_logger.explore( + "Maintenance operation failed", + extra={"operation": operation, "event_id": event_id}, + error=str(e), + ) + return {"status": "failed", "error": str(e)} + finally: + db.close() + # #endregion execute +# #endregion MaintenanceBannerPlugin + +# #endregion MaintenanceBannerPlugin diff --git a/backend/src/scripts/seed_superset_load_test.py b/backend/src/scripts/seed_superset_load_test.py index 0de05fed..0b926c81 100644 --- a/backend/src/scripts/seed_superset_load_test.py +++ b/backend/src/scripts/seed_superset_load_test.py @@ -148,20 +148,10 @@ def _resolve_target_envs(env_ids: list[str]) -> dict[str, Environment]: resolved: dict[str, Environment] = {} if not configured: - for config_path in [Path("config.json"), Path("backend/config.json")]: - if not config_path.exists(): - continue - try: - payload = json.loads(config_path.read_text(encoding="utf-8")) - env_rows = payload.get("environments", []) - for row in env_rows: - env = Environment(**row) - configured[env.id] = env - except Exception as exc: - logger.reflect( - f"Failed loading environments from {config_path}: {exc}", - extra={"src": "_resolve_target_envs"}, - ) + logger.reflect( + "No environments found in DB — seed script requires environments configured via API first", + extra={"src": "_resolve_target_envs"}, + ) for env_id in env_ids: env = configured.get(env_id) diff --git a/backend/src/services/health_service.py b/backend/src/services/health_service.py index 8ba29695..6149301b 100644 --- a/backend/src/services/health_service.py +++ b/backend/src/services/health_service.py @@ -6,6 +6,7 @@ # @RELATION DEPENDS_ON -> [TaskCleanupService] # @RELATION DEPENDS_ON -> [TaskManager] +from datetime import UTC import os import time from typing import Any, cast @@ -255,6 +256,9 @@ class HealthService: task_id = str(record.task_id) if record.task_id is not None else None summary = str(record.summary) if record.summary is not None else None timestamp = cast(Any, record.timestamp) + # Ensure timestamp is timezone-aware (DB stores naive UTC) + if timestamp is not None and timestamp.tzinfo is None: + timestamp = timestamp.replace(tzinfo=UTC) meta = self._resolve_dashboard_meta(dashboard_id, resolved_environment_id) items.append( diff --git a/backend/src/services/maintenance/__init__.py b/backend/src/services/maintenance/__init__.py new file mode 100644 index 00000000..f6a1d2b8 --- /dev/null +++ b/backend/src/services/maintenance/__init__.py @@ -0,0 +1,30 @@ +# #region MaintenancePackage [C:1] [TYPE Package] [SEMANTICS maintenance, service, package] +# @BRIEF Maintenance Banner service package. Re-exports all public orchestrators and helpers. +# @LAYER Service +# @RELATION DEPENDS_ON -> [MaintenanceOrchestrators] +# @RELATION DEPENDS_ON -> [MaintenanceDashboardScanner] +# @RELATION DEPENDS_ON -> [MaintenanceBannerRenderer] +# @RELATION DEPENDS_ON -> [MaintenanceChartManager] + +from ._banner_renderer import build_banner_text, rebuild_banner +from ._chart_manager import ensure_banner_chart +from ._dashboard_scanner import find_affected_dashboards +from ._orchestrators import ( + build_idempotency_key, + end_all_maintenance, + end_maintenance, + start_maintenance, +) + +__all__ = [ + "build_banner_text", + "build_idempotency_key", + "end_all_maintenance", + "end_maintenance", + "ensure_banner_chart", + "find_affected_dashboards", + "rebuild_banner", + "start_maintenance", +] + +# #endregion MaintenancePackage diff --git a/backend/src/services/maintenance/_banner_renderer.py b/backend/src/services/maintenance/_banner_renderer.py new file mode 100644 index 00000000..e0ea2cb9 --- /dev/null +++ b/backend/src/services/maintenance/_banner_renderer.py @@ -0,0 +1,254 @@ +# #region MaintenanceBannerRenderer [C:3] [TYPE Module] [SEMANTICS maintenance, banner, renderer, text] +# @BRIEF Banner text rendering and rebuild helpers. Build aggregated markdown from +# active maintenance events, format with template, apply HTML escaping. +# @LAYER Service +# @RELATION DEPENDS_ON -> [MaintenanceModels] +# @RELATION DEPENDS_ON -> [SupersetDashboardsWriteMixin] + +import html +import re as _re +from datetime import datetime +from typing import Any + +from sqlalchemy.orm import Session + +from ...core.logger import belief_scope, logger as app_logger +from ...core.superset_client import SupersetClient +from ...models.maintenance import ( + MaintenanceDashboardBanner, + MaintenanceDashboardBannerStatus, + MaintenanceDashboardState, + MaintenanceDashboardStateStatus, + MaintenanceEvent, + MaintenanceEventStatus, + MaintenanceSettings, +) + + +# #region build_banner_text [C:3] [TYPE Function] [SEMANTICS maintenance, banner, text, template, rendering] +# @BRIEF Build aggregated banner markdown text from events using settings template. +# Single event: substitute {start_time}, {end_time}, {message} directly. +# Multiple events: render each event as sub-block, combine as {message}. +# Missing variables → empty string. Message is HTML-escaped. +# @PRE events is a non-empty list of dicts with start_time, end_time, message keys. +# template is a non-empty string. +# @POST Returns str with substituted template or empty string on failure. +def build_banner_text( + events: list[dict[str, Any]], + template: str, + display_timezone: str = "UTC", +) -> str: + with belief_scope( + "build_banner_text", + f"events={len(events)}", + ): + if not events: + app_logger.reflect("No events, returning empty string") + return "" + + def _format_dt(dt_str: str | None) -> str: + """Format datetime string for display.""" + if not dt_str: + return "уточняется" + try: + dt = datetime.fromisoformat(dt_str.replace("Z", "+00:00")) + return dt.strftime("%Y-%m-%d %H:%M") + except (ValueError, TypeError): + return dt_str or "уточняется" + + def _event_substitutions(event: dict[str, Any]) -> dict[str, str]: + """Build substitution dict for a single event.""" + msg = event.get("message") or "" + escaped_msg = html.escape(msg) if msg else "" + return { + "start_time": _format_dt(event.get("start_time")), + "end_time": _format_dt(event.get("end_time")), + "message": escaped_msg, + } + + if len(events) == 1: + subs = _event_substitutions(events[0]) + result = template + for key, value in subs.items(): + result = result.replace(f"{{{key}}}", value) + # Remove any remaining unreplaced variables + result = _re.sub(r"\{[a-zA-Z_]+\}", "", result) + app_logger.reflect("Banner text built (single event)") + return result + + # Multiple events: build aggregated message, substitute as {message} + event_blocks: list[str] = [] + for i, event in enumerate(events): + subs = _event_substitutions(event) + block = template + for key, value in subs.items(): + block = block.replace(f"{{{key}}}", value) + block = _re.sub(r"\{[a-zA-Z_]+\}", "", block) + event_blocks.append(block) + + combined_message = "\n\n---\n\n".join(event_blocks) + + # Build aggregator template (use first event for start/end if uniform) + result = template + result = result.replace("{message}", combined_message) + if len(events) == 1: + subs = _event_substitutions(events[0]) + for key in ("start_time", "end_time"): + result = result.replace(f"{{{key}}}", subs.get(key, "")) + else: + result = result.replace("{start_time}", "") + result = result.replace("{end_time}", "") + result = _re.sub(r"\{[a-zA-Z_]+\}", "", result) + + app_logger.reflect("Banner text built (multi-event)") + return result +# #endregion build_banner_text + + +# #region _build_banner_text_for_dashboard [C:2] [TYPE Function] +# @BRIEF Build aggregated banner text for a banner based on all active events linked to it. +def _build_banner_text_for_dashboard( + banner_id: str, + db_session: Session, + template: str, + timezone_str: str, +) -> str: + try: + # Find all active dashboard states linked to this banner + active_states = ( + db_session.query(MaintenanceDashboardState) + .filter( + MaintenanceDashboardState.banner_id == banner_id, + MaintenanceDashboardState.status == MaintenanceDashboardStateStatus.ACTIVE, + ) + .all() + ) + + if not active_states: + return "" + + # Load events for each state + events_data: list[dict[str, Any]] = [] + for state in active_states: + ev = ( + db_session.query(MaintenanceEvent) + .filter(MaintenanceEvent.id == state.event_id) + .first() + ) + if ev and ev.status in ( + MaintenanceEventStatus.ACTIVE, + MaintenanceEventStatus.PARTIAL, + MaintenanceEventStatus.APPLYING, + ): + events_data.append( + { + "start_time": ev.start_time.isoformat() if ev.start_time else None, + "end_time": ev.end_time.isoformat() if ev.end_time else None, + "message": ev.message or "", + } + ) + + if not events_data: + return "" + + return build_banner_text(events_data, template, timezone_str) + except Exception as e: + app_logger.explore( + "Failed to build banner text", + extra={"banner_id": banner_id}, + error=str(e), + ) + return "" +# #endregion _build_banner_text_for_dashboard + + +# #region rebuild_banner [C:3] [TYPE Function] [SEMANTICS maintenance, banner, rebuild, text, update] +# @BRIEF Rebuild aggregated banner text for a banner and update the Superset chart. +# Query all active MaintenanceDashboardState records linked to banner, +# build aggregated text via build_banner_text, update markdown chart in Superset. +# @PRE banner_id points to an active MaintenanceDashboardBanner with a valid chart_id. +# @POST Banner chart in Superset updated with current aggregated text. DB banner_text updated. +# @SIDE_EFFECT Modifies Superset chart. Writes DB. +# @RELATION DEPENDS_ON -> [build_banner_text] +# @RELATION DEPENDS_ON -> [SupersetDashboardsWriteMixin] +def rebuild_banner( + banner_id: str, + db_session: Session, + superset_client: SupersetClient, +) -> bool: + with belief_scope("rebuild_banner", f"banner_id={banner_id}"): + app_logger.reason( + "Rebuilding banner text", + extra={"banner_id": banner_id}, + ) + + banner = db_session.query(MaintenanceDashboardBanner).filter( + MaintenanceDashboardBanner.id == banner_id + ).first() + if not banner: + app_logger.explore( + "Banner not found", + extra={"banner_id": banner_id}, + error="BannerNotFound", + ) + return False + + if banner.status != MaintenanceDashboardBannerStatus.ACTIVE: + app_logger.reflect( + "Banner not active, skipping", + extra={"banner_id": banner_id, "status": banner.status.value}, + ) + return False + + # Load settings for template + settings = db_session.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + template = settings.banner_template if settings else "" + timezone_str = settings.display_timezone if settings else "UTC" + + # Build aggregated text + banner_text = _build_banner_text_for_dashboard( + banner_id, db_session, template, timezone_str + ) + + if not banner_text and banner.chart_id: + # No active events — should be handled by end_maintenance, but clean up just in case + app_logger.reflect( + "No active events for banner, marking as REMOVED", + extra={"banner_id": banner_id}, + ) + banner.status = MaintenanceDashboardBannerStatus.REMOVED + db_session.flush() + return True + + # Update banner on dashboard (native MARKDOWN in layout) + if banner.chart_id: + try: + superset_client.update_banner_on_dashboard( + banner.dashboard_id, banner.chart_id, banner_text + ) + except Exception as e: + app_logger.explore( + "Failed to update banner on dashboard during rebuild", + extra={ + "chart_id": banner.chart_id, + "banner_id": banner_id, + "dashboard_id": banner.dashboard_id, + }, + error=str(e), + ) + return False + + # Update DB + banner.banner_text = banner_text + db_session.flush() + + app_logger.reflect( + "Banner rebuilt successfully", + extra={"banner_id": banner_id}, + ) + return True +# #endregion rebuild_banner + +# #endregion MaintenanceBannerRenderer diff --git a/backend/src/services/maintenance/_chart_manager.py b/backend/src/services/maintenance/_chart_manager.py new file mode 100644 index 00000000..afe76ae2 --- /dev/null +++ b/backend/src/services/maintenance/_chart_manager.py @@ -0,0 +1,359 @@ +# #region MaintenanceChartManager [C:3] [TYPE Module] [SEMANTICS maintenance, chart, banner, lifecycle] +# @BRIEF Chart operations for maintenance banners: create/get banner charts, process +# per-dashboard state transitions for start and end orchestrators. +# @LAYER Service +# @RELATION DEPENDS_ON -> [SupersetDashboardsWriteMixin] +# @RELATION DEPENDS_ON -> [MaintenanceModels] + +from typing import Any + +from sqlalchemy.orm import Session + +from ...core.logger import belief_scope, logger as app_logger +from ...core.superset_client import SupersetClient +from ...models.maintenance import ( + MaintenanceDashboardBanner, + MaintenanceDashboardBannerStatus, + MaintenanceDashboardState, + MaintenanceDashboardStateStatus, + MaintenanceEvent, + MaintenanceEventStatus, + MaintenanceSettings, +) +from ._banner_renderer import _build_banner_text_for_dashboard, rebuild_banner +from ._dashboard_scanner import _resolve_dashboard_title + + +# #region ensure_banner_chart [C:3] [TYPE Function] [SEMANTICS maintenance, banner, chart, creation] +# @BRIEF Get or create a MaintenanceDashboardBanner for a dashboard in the target environment. +# If an active banner exists in DB, return it. Otherwise, create a markdown chart in Superset, +# update dashboard layout, and store the banner row. +# @PRE dashboard_id exists in Superset. superset_client has write access. +# @POST Returns MaintenanceDashboardBanner with chart_id set. Chart is placed at top of dashboard. +# @SIDE_EFFECT Creates chart in Superset, modifies dashboard layout, writes DB row. +# @RELATION DEPENDS_ON -> [SupersetDashboardsWriteMixin] +def ensure_banner_chart( + dashboard_id: int, + environment_id: str, + superset_client: SupersetClient, + db_session: Session, +) -> MaintenanceDashboardBanner: + with belief_scope( + "ensure_banner_chart", + f"dashboard_id={dashboard_id}", + ): + app_logger.reason( + "Ensuring banner chart exists", + extra={"dashboard_id": dashboard_id}, + ) + + # Check for existing active banner + existing = ( + db_session.query(MaintenanceDashboardBanner) + .filter( + MaintenanceDashboardBanner.dashboard_id == dashboard_id, + MaintenanceDashboardBanner.environment_id == environment_id, + MaintenanceDashboardBanner.status == MaintenanceDashboardBannerStatus.ACTIVE, + ) + .first() + ) + if existing: + app_logger.reason( + "Found existing active banner, verifying chart in Superset", + extra={"banner_id": existing.id, "chart_id": existing.chart_id}, + ) + # Verify the chart still exists in Superset + try: + superset_client.get_chart(existing.chart_id) + app_logger.reflect( + "Existing banner chart is alive, reusing", + extra={"banner_id": existing.id, "chart_id": existing.chart_id}, + ) + return existing + except Exception: + app_logger.explore( + "Existing banner chart is stale (not found in Superset), marking as REMOVED", + extra={ + "banner_id": existing.id, + "chart_id": existing.chart_id, + }, + ) + existing.status = MaintenanceDashboardBannerStatus.REMOVED + db_session.flush() + # Fall through to create a new chart + + # Create markdown chart in Superset + try: + chart_id = superset_client.create_markdown_chart( + dashboard_id, "*Maintenance banner placeholder*" + ) + except Exception as e: + app_logger.explore( + "Failed to create markdown chart", + extra={"dashboard_id": dashboard_id}, + error=str(e), + ) + raise + + # Insert chart at top of dashboard layout + try: + superset_client.update_dashboard_layout(dashboard_id, chart_id) + except Exception as e: + app_logger.explore( + "Failed to update dashboard layout, deleting chart", + extra={"dashboard_id": dashboard_id, "chart_id": chart_id}, + error=str(e), + ) + # Clean up the chart we just created + try: + superset_client.delete_chart(chart_id) + except Exception: + pass + raise + + # Persist banner row + banner = MaintenanceDashboardBanner( + environment_id=environment_id, + dashboard_id=dashboard_id, + chart_id=chart_id, + banner_text="", + status=MaintenanceDashboardBannerStatus.ACTIVE, + ) + db_session.add(banner) + db_session.flush() + + app_logger.reflect( + "Banner chart created and persisted", + extra={ + "banner_id": banner.id, + "chart_id": chart_id, + "dashboard_id": dashboard_id, + }, + ) + return banner +# #endregion ensure_banner_chart + + +# #region _process_dashboards_for_start [C:3] [TYPE Function] +# @BRIEF Process each dashboard for a start maintenance event: ensure banner chart, +# create dashboard state, build banner text, update chart markdown. +# @SIDE_EFFECT Creates/updates Superset charts, writes DB rows. +# @RELATION CALLS -> [ensure_banner_chart] +# @RELATION CALLS -> [_build_banner_text_for_dashboard] +# @RELATION CALLS -> [_resolve_dashboard_title] +def _process_dashboards_for_start( + dashboard_ids: list[int], + event_id: str, + environment_id: str, + template: str, + timezone_str: str, + superset_client: SupersetClient, + db_session: Session, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]], list[MaintenanceDashboardBanner]]: + successful_dashboards: list[dict[str, Any]] = [] + failed_dashboards: list[dict[str, Any]] = [] + banners_created: list[MaintenanceDashboardBanner] = [] + + for dash_id in dashboard_ids: + app_logger.reason( + "Processing dashboard", + extra={"dashboard_id": dash_id, "event_id": event_id}, + ) + try: + # Ensure banner chart exists + banner = ensure_banner_chart( + dash_id, + environment_id, + superset_client, + db_session, + ) + banners_created.append(banner) + + # Create dashboard state + state = MaintenanceDashboardState( + event_id=event_id, + dashboard_id=dash_id, + banner_id=banner.id, + status=MaintenanceDashboardStateStatus.ACTIVE, + ) + db_session.add(state) + db_session.flush() # Ensure state is visible to subsequent queries + + # Build banner text for this dashboard's active events + banner_text = _build_banner_text_for_dashboard( + banner.id, db_session, template, timezone_str + ) + + # Update banner content on dashboard (native MARKDOWN in layout) + if banner.chart_id: + try: + superset_client.update_banner_on_dashboard( + dash_id, banner.chart_id, banner_text + ) + except Exception as e: + app_logger.explore( + "Failed to update banner on dashboard", + extra={ + "chart_id": banner.chart_id, + "dashboard_id": dash_id, + }, + error=str(e), + ) + state.status = MaintenanceDashboardStateStatus.APPLY_FAILED + failed_dashboards.append( + {"id": dash_id, "title": str(dash_id), "error": str(e)} + ) + continue + + # Update banner text in DB + banner.banner_text = banner_text + db_session.flush() + + # Resolve dashboard title + title = _resolve_dashboard_title(dash_id, superset_client) + successful_dashboards.append( + { + "id": dash_id, + "title": title, + "chart_id": banner.chart_id, + } + ) + app_logger.reflect( + "Dashboard processed successfully", + extra={"dashboard_id": dash_id}, + ) + + except Exception as e: + app_logger.explore( + "Failed to process dashboard", + extra={"dashboard_id": dash_id}, + error=str(e), + ) + failed_dashboards.append( + {"id": dash_id, "title": str(dash_id), "error": str(e)} + ) + + return successful_dashboards, failed_dashboards, banners_created +# #endregion _process_dashboards_for_start + + +# #region _process_states_for_end [C:3] [TYPE Function] +# @BRIEF Process each dashboard state for an end maintenance event: if other events +# still use same banner → rebuild; if no other events → remove banner (chart + layout). +# @SIDE_EFFECT Modifies Superset dashboards (removes charts, updates layouts). Writes DB. +# @RELATION CALLS -> [rebuild_banner] +def _process_states_for_end( + states: list[MaintenanceDashboardState], + event_id: str, + superset_client: SupersetClient, + db_session: Session, +) -> tuple[int, list[dict[str, Any]]]: + removed_count = 0 + failed_removals: list[dict[str, Any]] = [] + + for state in states: + dash_id = state.dashboard_id + app_logger.reason( + "Processing dashboard state for end", + extra={"dashboard_id": dash_id, "state_id": state.id}, + ) + + try: + banner_id = state.banner_id + if not banner_id: + # No banner linked, just mark as removed + state.status = MaintenanceDashboardStateStatus.REMOVED + removed_count += 1 + continue + + # Check if other active events still use this banner + other_active = db_session.query(MaintenanceDashboardState).filter( + MaintenanceDashboardState.banner_id == banner_id, + MaintenanceDashboardState.status == MaintenanceDashboardStateStatus.ACTIVE, + MaintenanceDashboardState.event_id != event_id, + ).count() + + banner = db_session.query(MaintenanceDashboardBanner).filter( + MaintenanceDashboardBanner.id == banner_id + ).first() + + if other_active > 0 and banner: + # Other events still active — rebuild banner text + state.status = MaintenanceDashboardStateStatus.REMOVED + db_session.flush() + rebuild_banner(banner_id, db_session, superset_client) + app_logger.reflect( + "Banner rebuilt after removing event", + extra={"banner_id": banner_id, "dashboard_id": dash_id}, + ) + elif banner: + # No other events — remove banner entirely + state.status = MaintenanceDashboardStateStatus.REMOVING + db_session.flush() + + # Remove chart from layout + if banner.chart_id: + try: + superset_client.remove_chart_from_layout( + dash_id, banner.chart_id + ) + except Exception as e: + app_logger.explore( + "Failed to remove chart from layout", + extra={ + "dashboard_id": dash_id, + "chart_id": banner.chart_id, + }, + error=str(e), + ) + state.status = MaintenanceDashboardStateStatus.REMOVAL_FAILED + failed_removals.append( + {"id": dash_id, "title": str(dash_id), "error": str(e)} + ) + continue + + # Delete chart + try: + superset_client.delete_chart(banner.chart_id) + except Exception as e: + app_logger.explore( + "Failed to delete chart", + extra={ + "chart_id": banner.chart_id, + "dashboard_id": dash_id, + }, + error=str(e), + ) + state.status = MaintenanceDashboardStateStatus.REMOVAL_FAILED + failed_removals.append( + {"id": dash_id, "title": str(dash_id), "error": str(e)} + ) + continue + + # Mark banner as removed + banner.status = MaintenanceDashboardBannerStatus.REMOVED + state.status = MaintenanceDashboardStateStatus.REMOVED + app_logger.reflect( + "Banner fully removed", + extra={"banner_id": banner_id, "dashboard_id": dash_id}, + ) + else: + state.status = MaintenanceDashboardStateStatus.REMOVED + + removed_count += 1 + + except Exception as e: + app_logger.explore( + "Failed to end maintenance for dashboard", + extra={"dashboard_id": dash_id}, + error=str(e), + ) + state.status = MaintenanceDashboardStateStatus.REMOVAL_FAILED + failed_removals.append( + {"id": dash_id, "title": str(dash_id), "error": str(e)} + ) + + return removed_count, failed_removals +# #endregion _process_states_for_end + +# #endregion MaintenanceChartManager diff --git a/backend/src/services/maintenance/_dashboard_scanner.py b/backend/src/services/maintenance/_dashboard_scanner.py new file mode 100644 index 00000000..817b8b46 --- /dev/null +++ b/backend/src/services/maintenance/_dashboard_scanner.py @@ -0,0 +1,205 @@ +# #region MaintenanceDashboardScanner [C:3] [TYPE Module] [SEMANTICS maintenance, dashboard, scanner, tables] +# @BRIEF Dashboard discovery and filtering helpers for maintenance banner feature. +# Scan Superset datasets, match tables, apply scope/excluded/forced filters. +# @LAYER Service +# @RELATION DEPENDS_ON -> [SupersetClient] +# @RELATION DEPENDS_ON -> [SqlTableExtractorModule] +# @RELATION DEPENDS_ON -> [MaintenanceModels] + +from typing import Any + +from sqlalchemy.orm import Session + +from ...core.logger import belief_scope, logger as app_logger +from ...core.superset_client import SupersetClient +from ...models.maintenance import DashboardScope, MaintenanceSettings +from ..sql_table_extractor import extract_tables_from_sql + + +# #region find_affected_dashboards [C:3] [TYPE Function] [SEMANTICS maintenance, dashboard, discovery, tables] +# @BRIEF Find all dashboard IDs whose datasets reference any of the given tables. +# Supports both table-based (schema, table_name) and virtual SQL datasets (via SqlTableExtractor). +# Applies scope/excluded/forced filtering from MaintenanceSettings. +# @PRE tables is a non-empty list of "schema.table" strings. superset_client is authenticated. +# @POST Returns a deduplicated list of dashboard IDs that should receive banners. +# @SIDE_EFFECT Fetches all datasets from Superset (paginated). May be slow with many datasets. +# @RELATION DEPENDS_ON -> [SupersetClient] +# @RELATION DEPENDS_ON -> [SqlTableExtractorModule] +def find_affected_dashboards( + tables: list[str], + superset_client: SupersetClient, + settings: MaintenanceSettings | None = None, +) -> list[int]: + with belief_scope( + "find_affected_dashboards", + f"tables={tables}", + ): + app_logger.reason( + "Finding affected dashboards", + extra={"tables": tables}, + ) + + if not tables: + app_logger.reflect("No tables provided, returning empty") + return [] + + # Normalize input tables to lowercase set for matching + target_tables = {t.lower().strip() for t in tables if t.strip()} + if not target_tables: + return [] + + # Fetch all datasets from Superset + try: + _, datasets = superset_client.get_datasets() + except Exception as e: + app_logger.explore( + "Failed to fetch datasets from Superset", + extra={}, + error=str(e), + ) + raise + + app_logger.reason( + f"Scanning {len(datasets)} datasets for table references", + extra={"target_tables": list(target_tables)}, + ) + + matched_dashboard_ids: set[int] = set() + + for ds in datasets: + ds_schema = (ds.get("schema") or "").lower().strip() + ds_table = (ds.get("table_name") or "").lower().strip() + is_virtual = ds.get("is_sqllab_view", False) or ds.get("sql", "") not in ( + None, + "", + ) + ds_sql = ds.get("sql") or "" + ds_id = ds.get("id") + + # Phase 1: Table-based match + if not is_virtual and ds_schema and ds_table: + qualified = f"{ds_schema}.{ds_table}" + if qualified in target_tables: + linked = _get_linked_dashboards(superset_client, ds_id) + matched_dashboard_ids.update(linked) + continue + + # Phase 2: Virtual/SQL dataset — extract tables from SQL text + if is_virtual and ds_sql: + extracted = extract_tables_from_sql(ds_sql) + if extracted & target_tables: + linked = _get_linked_dashboards(superset_client, ds_id) + matched_dashboard_ids.update(linked) + + app_logger.reflect( + f"Found {len(matched_dashboard_ids)} affected dashboards", + extra={"dashboard_ids": list(matched_dashboard_ids)}, + ) + + # Apply filtering from settings + result = _apply_dashboard_filters( + list(matched_dashboard_ids), superset_client, settings + ) + + app_logger.reflect( + f"After filtering: {len(result)} dashboards", + extra={"dashboard_ids": result}, + ) + return result +# #endregion find_affected_dashboards + + +# #region _get_linked_dashboards [C:2] [TYPE Function] +# @BRIEF Fetch linked dashboards for a dataset from Superset. +# @SIDE_EFFECT Calls Superset API. +def _get_linked_dashboards( + superset_client: SupersetClient, + dataset_id: int | None, +) -> set[int]: + if not dataset_id: + return set() + try: + detail = superset_client.get_dataset_detail(dataset_id) + linked = detail.get("linked_dashboards", []) + return {int(d["id"]) for d in linked if d.get("id")} + except Exception as e: + app_logger.explore( + "Failed to fetch linked dashboards", + extra={"dataset_id": dataset_id}, + error=str(e), + ) + return set() +# #endregion _get_linked_dashboards + + +# #region _apply_dashboard_filters [C:2] [TYPE Function] +# @BRIEF Apply scope (published/draft/all), excluded, and forced filters from settings. +def _apply_dashboard_filters( + dashboard_ids: list[int], + superset_client: SupersetClient, + settings: MaintenanceSettings | None, +) -> list[int]: + if not settings: + return dashboard_ids + + # If forced list exists, include those unconditionally + forced_ids = set(settings.forced_dashboard_ids or []) + excluded_ids = set(settings.excluded_dashboard_ids or []) + + # Apply scope filtering + if settings.dashboard_scope != DashboardScope.ALL: + try: + _, all_dashboards = superset_client.get_dashboards() + scope = settings.dashboard_scope + filtered: list[int] = [] + for did in dashboard_ids: + dash = next( + (d for d in all_dashboards if d.get("id") == did), None + ) + if dash is None: + continue + is_published = dash.get("published", True) + if scope == DashboardScope.PUBLISHED_ONLY and not is_published: + continue + if scope == DashboardScope.DRAFT_ONLY and is_published: + continue + filtered.append(did) + dashboard_ids = filtered + except Exception as e: + app_logger.explore( + "Scope filtering failed, proceeding without it", + extra={}, + error=str(e), + ) + + # Apply excluded (forced overrides excluded per FR-009-b) + result = [ + did for did in dashboard_ids if did not in excluded_ids or did in forced_ids + ] + + # Add forced dashboards that are not already included + for fid in forced_ids: + if fid not in result: + result.append(fid) + + return result +# #endregion _apply_dashboard_filters + + +# #region _resolve_dashboard_title [C:2] [TYPE Function] +# @BRIEF Resolve dashboard title from Superset by ID. +def _resolve_dashboard_title( + dashboard_id: int, + superset_client: SupersetClient, +) -> str: + try: + _, dashboards = superset_client.get_dashboards() + for d in dashboards: + if d.get("id") == dashboard_id: + return d.get("dashboard_title") or d.get("title") or str(dashboard_id) + except Exception: + pass + return str(dashboard_id) +# #endregion _resolve_dashboard_title + +# #endregion MaintenanceDashboardScanner diff --git a/backend/src/services/maintenance/_orchestrators.py b/backend/src/services/maintenance/_orchestrators.py new file mode 100644 index 00000000..c06248cb --- /dev/null +++ b/backend/src/services/maintenance/_orchestrators.py @@ -0,0 +1,338 @@ +# #region MaintenanceOrchestrators [C:4] [TYPE Module] [SEMANTICS maintenance, orchestrator, lifecycle] +# @BRIEF C4 orchestrators for maintenance event lifecycle: start, end, end-all. +# Private helpers extracted to sub-modules. All orchestrators use belief runtime. +# @LAYER Service +# @RELATION DEPENDS_ON -> [MaintenanceModels] +# @RELATION DEPENDS_ON -> [SupersetClient] +# @RELATION DEPENDS_ON -> [MaintenanceDashboardScanner] +# @RELATION DEPENDS_ON -> [MaintenanceBannerRenderer] +# @RELATION DEPENDS_ON -> [MaintenanceChartManager] +# @INVARIANT C4 methods use belief_scope + REASON/REFLECT/EXPLORE markers. +# @INVARIANT Idempotency key: sorted lowercased (tables, start_time, end_time). message NOT in key. + +from datetime import datetime, timezone +from typing import Any + +from sqlalchemy.orm import Session + +from ...core.logger import belief_scope, logger as app_logger +from ...core.superset_client import SupersetClient +from ...models.maintenance import ( + MaintenanceDashboardState, + MaintenanceEvent, + MaintenanceEventStatus, + MaintenanceSettings, +) +from ._chart_manager import _process_dashboards_for_start, _process_states_for_end +from ._dashboard_scanner import find_affected_dashboards + + +# #region build_idempotency_key [C:2] [TYPE Function] +# @BRIEF Build idempotency key from (tables, start_time, end_time). Sorted lowercased tables, ISO timestamps. +# @PRE tables is a list of strings. start_time is a datetime or None. end_time is a datetime or None. +# @POST Returns a tuple of (frozenset(str), str|None, str|None) for DB comparison. +# @RATIONALE message is intentionally excluded from key per spec — different message with same tables/times = same event. +def build_idempotency_key( + tables: list[str], + start_time: datetime | None, + end_time: datetime | None, +) -> tuple[frozenset[str], str | None, str | None]: + sorted_tables = sorted(t.strip().lower() for t in tables if t.strip()) + start_key = start_time.isoformat() if start_time else None + end_key = end_time.isoformat() if end_time else None + return (frozenset(sorted_tables), start_key, end_key) +# #endregion build_idempotency_key + + +# #region start_maintenance [C:4] [TYPE Function] [SEMANTICS maintenance, start, orchestration, async] +# @BRIEF C4 orchestrator for starting a maintenance event. Runs inside a TaskManager task. +# Idempotency check with SELECT ... FOR UPDATE. Creates event states, finds dashboards, +# ensures banner charts, builds text, updates charts. Event transitions to ACTIVE or PARTIAL. +# @PRE event_id points to a valid MaintenanceEvent with status=PENDING. +# @POST Event and dashboard states transitioned to ACTIVE/PARTIAL/APPLY_FAILED. +# Banner charts created and updated in Superset. +# @SIDE_EFFECT Modifies Superset dashboards (creates/updates charts, modifies layouts). +# Writes multiple DB rows (dashboard states, banner updates). +# @BELIEF Uses belief_scope with REASON/REFLECT/EXPLORE markers. +# @RELATION CALLS -> [find_affected_dashboards] +# @RELATION CALLS -> [_process_dashboards_for_start] +def start_maintenance( + event_id: str, + db_session: Session, + superset_client: SupersetClient, +) -> dict[str, Any]: + with belief_scope("start_maintenance", f"event_id={event_id}"): + app_logger.reason( + "Starting maintenance event", + extra={"event_id": event_id}, + ) + + # Load event + event = db_session.query(MaintenanceEvent).filter( + MaintenanceEvent.id == event_id + ).with_for_update().first() + if not event: + app_logger.explore( + "Event not found", + extra={"event_id": event_id}, + error="EventNotFound", + ) + return {"maintenance_id": event_id, "status": "failed", "error": "Event not found"} + + if event.status != MaintenanceEventStatus.PENDING: + app_logger.reflect( + "Event already processed", + extra={"event_id": event_id, "status": event.status.value}, + ) + return {"maintenance_id": event_id, "status": event.status.value} + + # Transition to APPLYING + event.status = MaintenanceEventStatus.APPLYING + db_session.flush() + + # Load settings + settings = db_session.query(MaintenanceSettings).filter( + MaintenanceSettings.id == "default" + ).first() + environment_id = settings.target_environment_id if settings else event.environment_id + template = settings.banner_template if settings else "" + timezone_str = settings.display_timezone if settings else "UTC" + + # Find affected dashboards + try: + dashboard_ids = find_affected_dashboards( + event.tables, + superset_client, + settings, + ) + except Exception as e: + app_logger.explore( + "Dashboard discovery failed", + extra={"event_id": event_id}, + error=str(e), + ) + event.status = MaintenanceEventStatus.FAILED + db_session.flush() + return { + "maintenance_id": event_id, + "status": "failed", + "error": str(e), + "affected_dashboards": 0, + "dashboards": [], + "failed_dashboards": [], + "unmatched_tables": [], + } + + if not dashboard_ids: + app_logger.reflect( + "No matching dashboards found", + extra={"event_id": event_id}, + ) + event.status = MaintenanceEventStatus.ACTIVE + db_session.flush() + return { + "maintenance_id": event_id, + "status": "no_match", + "affected_dashboards": 0, + "dashboards": [], + "failed_dashboards": [], + "unmatched_tables": [ + t for t in event.tables if t not in dashboard_ids + ], + } + + # Process each dashboard + successful_dashboards, failed_dashboards, _ = _process_dashboards_for_start( + dashboard_ids, + event_id, + environment_id, + template, + timezone_str, + superset_client, + db_session, + ) + + # Determine final event status + if not failed_dashboards: + event.status = MaintenanceEventStatus.ACTIVE + elif successful_dashboards: + event.status = MaintenanceEventStatus.PARTIAL + else: + event.status = MaintenanceEventStatus.FAILED + + db_session.flush() + + result = { + "maintenance_id": event_id, + "status": event.status.value, + "affected_dashboards": len(successful_dashboards), + "dashboards": successful_dashboards, + "failed_dashboards": failed_dashboards, + "unmatched_tables": [], + } + + app_logger.reflect( + "Maintenance start completed", + extra={ + "event_id": event_id, + "status": event.status.value, + "successful": len(successful_dashboards), + "failed": len(failed_dashboards), + }, + ) + return result +# #endregion start_maintenance + + +# #region end_maintenance [C:4] [TYPE Function] [SEMANTICS maintenance, end, orchestration, async, removal] +# @BRIEF C4 orchestrator for ending a maintenance event. Runs inside a TaskManager task. +# Event → ENDING. Delegates per-state processing to _process_states_for_end. +# Event → COMPLETED when done. +# @PRE event_id points to a valid active MaintenanceEvent. +# @POST Event transitions to COMPLETED. Dashboard states cleaned up. Charts removed when no other events. +# @SIDE_EFFECT Modifies Superset dashboards (removes charts, updates layouts). Writes DB. +# @BELIEF Uses belief_scope with REASON/REFLECT/EXPLORE markers. +# @RELATION CALLS -> [_process_states_for_end] +def end_maintenance( + event_id: str, + db_session: Session, + superset_client: SupersetClient, +) -> dict[str, Any]: + with belief_scope("end_maintenance", f"event_id={event_id}"): + app_logger.reason( + "Ending maintenance event", + extra={"event_id": event_id}, + ) + + # Load event with lock + event = db_session.query(MaintenanceEvent).filter( + MaintenanceEvent.id == event_id + ).with_for_update().first() + if not event: + app_logger.explore( + "Event not found", + extra={"event_id": event_id}, + error="EventNotFound", + ) + return {"maintenance_id": event_id, "status": "failed", "error": "Event not found"} + + # Idempotent: already completed + if event.status == MaintenanceEventStatus.COMPLETED: + app_logger.reflect( + "Event already completed, idempotent", + extra={"event_id": event_id}, + ) + return {"maintenance_id": event_id, "status": "already_completed", "removed_from": 0, "failed_removals": []} + + # Transition to ENDING + event.status = MaintenanceEventStatus.ENDING + db_session.flush() + + # Find all dashboard states for this event + states = db_session.query(MaintenanceDashboardState).filter( + MaintenanceDashboardState.event_id == event_id + ).all() + + # Delegate per-state processing + removed_count, failed_removals = _process_states_for_end( + states, event_id, superset_client, db_session, + ) + + # Transition event to COMPLETED (even if some removals failed) + event.status = MaintenanceEventStatus.COMPLETED + db_session.flush() + + result = { + "maintenance_id": event_id, + "status": "completed" if not failed_removals else "partial", + "removed_from": removed_count, + "failed_removals": failed_removals, + } + + app_logger.reflect( + "Maintenance end completed", + extra={ + "event_id": event_id, + "removed": removed_count, + "failed": len(failed_removals), + }, + ) + return result +# #endregion end_maintenance + + +# #region end_all_maintenance [C:4] [TYPE Function] [SEMANTICS maintenance, end-all, orchestration, bulk] +# @BRIEF End ALL active maintenance events. Iterates active events, calls end_maintenance for each. +# @PRE None. +# @POST All events ended. All banners removed or rebuilt (last event removed). +# @SIDE_EFFECT Modifies multiple Superset dashboards. Writes multiple DB rows. +# @BELIEF Uses belief_scope with REASON/REFLECT/EXPLORE markers. +# @RELATION CALLS -> [end_maintenance] +def end_all_maintenance( + db_session: Session, + superset_client: SupersetClient, +) -> dict[str, Any]: + with belief_scope("end_all_maintenance"): + app_logger.reason("Ending all active maintenance events") + + active_events = db_session.query(MaintenanceEvent).filter( + MaintenanceEvent.status.in_([ + MaintenanceEventStatus.ACTIVE, + MaintenanceEventStatus.PARTIAL, + MaintenanceEventStatus.APPLYING, + ]) + ).all() + + if not active_events: + app_logger.reflect("No active events to end") + return { + "status": "completed", + "closed_events": 0, + "removed_from": 0, + "failed_removals": [], + } + + total_removed = 0 + all_failed: list[dict[str, Any]] = [] + closed_count = 0 + + for event in active_events: + app_logger.reason( + "Ending event", + extra={"event_id": event.id}, + ) + try: + result = end_maintenance( + event.id, db_session, superset_client + ) + total_removed += result.get("removed_from", 0) + all_failed.extend(result.get("failed_removals", [])) + closed_count += 1 + except Exception as e: + app_logger.explore( + "Failed to end event", + extra={"event_id": event.id}, + error=str(e), + ) + all_failed.append( + {"id": 0, "title": event.id, "error": str(e)} + ) + + app_logger.reflect( + "All events ended", + extra={ + "closed": closed_count, + "removed": total_removed, + "failed": len(all_failed), + }, + ) + + return { + "status": "completed" if not all_failed else "partial", + "closed_events": closed_count, + "removed_from": total_removed, + "failed_removals": all_failed, + } +# #endregion end_all_maintenance + +# #endregion MaintenanceOrchestrators diff --git a/backend/src/services/sql_table_extractor.py b/backend/src/services/sql_table_extractor.py new file mode 100644 index 00000000..6939ac8d --- /dev/null +++ b/backend/src/services/sql_table_extractor.py @@ -0,0 +1,226 @@ +# #region SqlTableExtractorModule [C:2] [TYPE Module] [SEMANTICS sql, jinja, table, extraction, parsing] +# @BRIEF Three-phase SQL+Jinja table name extractor for virtual datasets as per FR-003. +# Phase 1: Detect Jinja spans vs SQL spans +# Phase 2: In Jinja spans, extract "schema.table" from string values +# Phase 3: In SQL spans, regex pattern + sqlparse filter to reject string literal false positives +# @LAYER Service +# @RELATION DEPENDS_ON -> [re, sqlparse] +# @INVARIANT Only exact schema.table matches (case-insensitive); unqualified references are NOT matched. +# @INVARIANT Returns a set[str] of fully-qualified table names (lowercased for case-insensitive matching). + +import re +from typing import Iterable + +import sqlparse +from sqlparse.sql import Identifier, Parenthesis, Token, TokenList +from sqlparse.tokens import Literal, Name, Punctuation, Whitespace + +# ── Phase 1: Jinja span detection ─────────────────────────── + +# Minimal Jinja token detection: {% ... %}, {{ ... }}, {# ... #} +_JINJA_BLOCK_RE = re.compile(r"{%-?\s*.*?\s*-?%}", re.DOTALL) +_JINJA_EXPR_RE = re.compile(r"{{-?\s*.*?\s*-?}}", re.DOTALL) +_JINJA_COMMENT_RE = re.compile(r"{#.*?#}", re.DOTALL) + +# ── Phase 3: schema.table regex (case-insensitive) ─────────── +_SCHEMA_TABLE_RE = re.compile( + r""" + (? list[tuple[str, str]]: + """Split raw SQL+Jinja text into alternating Jinja and SQL spans. + + Phase 1 detects Jinja blocks ({%%}, {{}}, {##}) and returns the + remaining text as SQL spans. + """ + if not raw_sql or not raw_sql.strip(): + return [("sql", raw_sql or "")] + + spans: list[tuple[str, str]] = [] + # Collect all Jinja match positions + jinja_matches: list[tuple[int, int]] = [] + for pattern in (_JINJA_BLOCK_RE, _JINJA_EXPR_RE, _JINJA_COMMENT_RE): + for m in pattern.finditer(raw_sql): + jinja_matches.append((m.start(), m.end())) + + # Merge overlapping Jinja spans + if jinja_matches: + jinja_matches.sort() + merged: list[tuple[int, int]] = [jinja_matches[0]] + for start, end in jinja_matches[1:]: + if start <= merged[-1][1]: + merged[-1] = (merged[-1][0], max(merged[-1][1], end)) + else: + merged.append((start, end)) + + # Build alternating sql/jinja spans + cursor = 0 + for start, end in merged: + if cursor < start: + sql_chunk = raw_sql[cursor:start].strip() + if sql_chunk: + spans.append(("sql", sql_chunk)) + jinja_chunk = raw_sql[start:end].strip() + if jinja_chunk: + spans.append(("jinja", jinja_chunk)) + cursor = end + if cursor < len(raw_sql): + remaining = raw_sql[cursor:].strip() + if remaining: + spans.append(("sql", remaining)) + else: + spans.append(("sql", raw_sql.strip())) + + return spans +# #endregion detect_jinja_spans + + +# #region extract_tables_from_jinja [C:2] [TYPE Function] +# @BRIEF Phase 2: Extract "schema.table" references from Jinja string values. +# Looks for patterns like "raw.sales" inside Jinja text. +# @PRE jinja_text is a string from a Jinja span. +# @POST Returns a set of lowercased schema.table strings. +def extract_tables_from_jinja(jinja_text: str) -> set[str]: + """Extract ``schema.table`` references from within Jinja template blocks. + + Looks for double-quoted or single-quoted string values that match + the ``schema.table`` pattern, e.g. ``"raw.sales"`` or ``'raw.inventory'``. + """ + tables: set[str] = set() + # Match string values: "schema.table" or 'schema.table' + string_pattern = re.compile( + r"""["']([a-zA-Z_][\w]*\.[a-zA-Z_][\w]*)["']""" + ) + for m in string_pattern.finditer(jinja_text): + tables.add(m.group(1).lower()) + return tables +# #endregion extract_tables_from_jinja + + +# #region is_string_literal [C:1] [TYPE Function] +# @BRIEF Check if a sqlparse Token is a string literal (not a schema.table identifier). +# @PRE token is a sqlparse Token. +# @POST Returns True if the token is a string/Single/Literal.String. +def is_string_literal(token: Token) -> bool: + """Return True if token is a string literal type in sqlparse.""" + return token.ttype is Literal.String.Single or token.ttype is Literal.String +# #endregion is_string_literal + + +# #region extract_tables_from_sql_span [C:2] [TYPE Function] +# @BRIEF Phase 3: Extract schema.table references from SQL text using regex + sqlparse filtering. +# Uses regex to find all schema.table candidates, then sqlparse to filter out +# false positives inside string literals. +# @PRE sql_text is a string from a SQL span (non-Jinja). +# @POST Returns a set of lowercased schema.table strings. +def extract_tables_from_sql_span(sql_text: str) -> set[str]: + """Extract ``schema.table`` references from plain SQL text. + + Uses regex to find all ``schema.table`` candidates, then sqlparse + to reject matches that fall inside string literals. + """ + tables: set[str] = set() + raw_matches = _SCHEMA_TABLE_RE.findall(sql_text) + if not raw_matches: + return tables + + # Use sqlparse to identify string literal positions + parsed = sqlparse.parse(sql_text) + string_literal_ranges: list[tuple[int, int]] = [] + + def walk_tokens(tokens: Iterable[Token], base_offset: int = 0) -> None: + offset = base_offset + for token in tokens: + if isinstance(token, TokenList): + walk_tokens(token.flatten(), offset) + else: + ttype = token.ttype + val = token.value + if is_string_literal(token): + string_literal_ranges.append( + (offset, offset + len(val)) + ) + offset += len(val) + + for stmt in parsed: + if stmt is None: + continue + walk_tokens(stmt.flatten(), base_offset=0) + + def is_in_string(pos: int) -> bool: + for s_start, s_end in string_literal_ranges: + if s_start <= pos <= s_end: + return True + return False + + # Re-scan with full match positions to filter + for m in _SCHEMA_TABLE_RE.finditer(sql_text): + if not is_in_string(m.start()): + # Extract schema and table from match groups + schema = m.group(2) or m.group(1) or "" + table = m.group(3) or "" + # Filter out column aliases (single-char schemas like "a.id", "o.id") + if len(schema) < 2 and schema.isalpha() and schema.islower(): + continue + if schema and table: + tables.add(f"{schema.lower()}.{table.lower()}") + + return tables +# #endregion extract_tables_from_sql_span + + +# #region extract_tables_from_sql [C:2] [TYPE Function] +# @BRIEF Three-phase entry point: extract all schema.table references from raw SQL+Jinja text. +# @PRE raw_sql is a string (possibly empty). +# @POST Returns a set of lowercased fully-qualified table names (schema.table format). +# @RELATION CALLS -> [detect_jinja_spans] +# @RELATION CALLS -> [extract_tables_from_jinja] +# @RELATION CALLS -> [extract_tables_from_sql_span] +def extract_tables_from_sql(raw_sql: str) -> set[str]: + """Extract all ``schema.table`` references from raw SQL + Jinja text. + + Three-phase approach per FR-003: + 1. Detect Jinja spans vs SQL spans + 2. In Jinja spans, extract ``schema.table`` from quoted string values + 3. In SQL spans, regex + sqlparse filter to reject string literal false positives + + Returns a set of lowercased ``schema.table`` strings for case-insensitive matching. + + Example: + >>> extract_tables_from_sql("SELECT * FROM raw.sales JOIN raw.inventory ON ...") + {'raw.sales', 'raw.inventory'} + """ + if not raw_sql or not raw_sql.strip(): + return set() + + all_tables: set[str] = set() + spans = detect_jinja_spans(raw_sql) + + for span_type, text in spans: + if span_type == "jinja": + all_tables.update(extract_tables_from_jinja(text)) + else: + all_tables.update(extract_tables_from_sql_span(text)) + + return all_tables +# #endregion extract_tables_from_sql + +# #endregion SqlTableExtractorModule diff --git a/backend/src/services/validation_run_service.py b/backend/src/services/validation_run_service.py index b8495dbb..7fb9a988 100644 --- a/backend/src/services/validation_run_service.py +++ b/backend/src/services/validation_run_service.py @@ -55,7 +55,12 @@ class ValidationRunService: query = self.db.query(ValidationRecord) if task_id: - query = query.filter(ValidationRecord.task_id == task_id) + # Match both spawned task_id (TaskRecord) and policy_id (ValidationPolicy.id) + # because the frontend sends the validation policy UUID, but ValidationRecord.task_id + # stores the spawned task UUID. Fall back to policy_id for the common case. + query = query.filter( + (ValidationRecord.task_id == task_id) | (ValidationRecord.policy_id == task_id) + ) if dashboard_id: query = query.filter(ValidationRecord.dashboard_id == dashboard_id) if environment_id: diff --git a/backend/tests/test_core_scheduler.py b/backend/tests/test_core_scheduler.py index f04d52d8..dc7eb2f8 100644 --- a/backend/tests/test_core_scheduler.py +++ b/backend/tests/test_core_scheduler.py @@ -5,8 +5,10 @@ # @TEST_EDGE: add_remove_translation_job — job correctly registered and removed from APScheduler # @TEST_INVARIANT: translation_jobs_persist_across_reload -> VERIFIED_BY: [test_load_schedules_reloads_translation_schedules] -import sys +import asyncio +from datetime import time from pathlib import Path +import sys sys.path.insert(0, str(Path(__file__).parent.parent / "src")) @@ -172,4 +174,345 @@ def test_remove_nonexistent_translation_job_no_error(): # #endregion test_remove_nonexistent_translation_job_no_error +# #region test_add_validation_job [C:1] [TYPE Function] +def test_add_validation_job(): + """Verify add_validation_job registers an APScheduler job.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + assert sched.get_job("validation_pol-1") is None + + svc.add_validation_job( + policy_id="pol-1", + cron_expression="30 10 * * 0,2,4", # 10:30 Mon, Wed, Fri + app_timezone="Europe/Moscow", + ) + + job = sched.get_job("validation_pol-1") + assert job is not None, "Validation job should be registered after add" + assert job.id == "validation_pol-1" + finally: + _stop_scheduler(sched) +# #endregion test_add_validation_job + + +# #region test_load_schedules_loads_validation_policies [C:1] [TYPE Function] +def test_load_schedules_loads_validation_policies(): + """Verify load_schedules re-registers validation jobs from DB.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + # Add app_timezone to config so cron gets a timezone + cfg.get_config.return_value.settings.app_timezone = "Europe/Moscow" + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + # Pre-register a validation job (to test it survives reload) + svc.add_validation_job( + policy_id="pol-1", + cron_expression="0 10 * * 1,3,5", + ) + assert sched.get_job("validation_pol-1") is not None + + # Mock DB to return an active ValidationPolicy with schedule_days + mock_policy = MagicMock() + mock_policy.id = "pol-1" + mock_policy.schedule_days = [0, 2, 4] # Mon, Wed, Fri + mock_policy.window_start = time(10, 30) + mock_policy.window_end = time(11, 0) + + mock_db = MagicMock() + # First query is for TranslationSchedule (empty), second is ValidationPolicy + mock_db.query.side_effect = [ + MagicMock(filter=MagicMock(return_value=MagicMock(all=MagicMock(return_value=[])))), + MagicMock(filter=MagicMock(return_value=MagicMock(all=MagicMock(return_value=[mock_policy])))), + ] + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + svc.load_schedules() + + # Validation job should still exist after reload + job = sched.get_job("validation_pol-1") + assert job is not None, "Validation job should survive load_schedules" + finally: + _stop_scheduler(sched) +# #endregion test_load_schedules_loads_validation_policies + + +# #region test_trigger_validation_creates_tasks [C:1] [TYPE Function] +def test_trigger_validation_creates_tasks(): + """Verify _trigger_validation creates TaskManager tasks for each dashboard.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + svc.loop = asyncio.new_event_loop() + + # Mock the ValidationPolicy DB query + mock_policy = MagicMock() + mock_policy.id = "pol-1" + mock_policy.is_active = True + mock_policy.dashboard_ids = ["dash-1", "dash-2"] + mock_policy.environment_id = "ss-dev" + mock_policy.provider_id = "prov-1" + mock_policy.window_start = time(10, 0) + mock_policy.window_end = time(10, 30) + + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = mock_policy + + # Patch asyncio.run_coroutine_threadsafe to call the function synchronously + # so we can verify the mock was called + captured_calls = [] + + def fake_run_coro(_coro_or_fn, _loop): + captured_calls.append(1) + return MagicMock() + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db), \ + patch("src.core.scheduler.asyncio.run_coroutine_threadsafe", side_effect=fake_run_coro): + svc._trigger_validation("pol-1") + + # Should have submitted 2 coroutines via run_coroutine_threadsafe (one per dashboard) + assert len(captured_calls) == 2, ( + f"Expected 2 task submissions via run_coroutine_threadsafe, got {len(captured_calls)}" + ) + finally: + _stop_scheduler(sched) +# #endregion test_trigger_validation_creates_tasks + + +# #region test_trigger_validation_skips_missing_policy [C:1] [TYPE Function] +def test_trigger_validation_skips_missing_policy(): + """Verify _trigger_validation does not fail when policy is missing.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + svc.loop = asyncio.new_event_loop() + + # Mock DB to return None (policy not found) + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = None + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + # Should not raise + svc._trigger_validation("nonexistent-policy") + + # create_task should not have been called + assert tm.create_task.call_count == 0 + finally: + _stop_scheduler(sched) +# #endregion test_trigger_validation_skips_missing_policy + + +# #region test_trigger_validation_skips_inactive_policy [C:1] [TYPE Function] +def test_trigger_validation_skips_inactive_policy(): + """Verify _trigger_validation skips an inactive policy.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + svc.loop = asyncio.new_event_loop() + + mock_policy = MagicMock() + mock_policy.id = "pol-inactive" + mock_policy.is_active = False + mock_policy.dashboard_ids = ["dash-1"] + + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = mock_policy + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + svc._trigger_validation("pol-inactive") + + # create_task should not have been called for inactive policy + assert tm.create_task.call_count == 0 + finally: + _stop_scheduler(sched) +# #endregion test_trigger_validation_skips_inactive_policy + + +# #region test_trigger_validation_skips_no_dashboards [C:1] [TYPE Function] +def test_trigger_validation_skips_no_dashboards(): + """Verify _trigger_validation skips a policy with no dashboards.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + svc.loop = asyncio.new_event_loop() + + mock_policy = MagicMock() + mock_policy.id = "pol-empty" + mock_policy.is_active = True + mock_policy.dashboard_ids = [] + + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = mock_policy + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + svc._trigger_validation("pol-empty") + + assert tm.create_task.call_count == 0 + finally: + _stop_scheduler(sched) +# #endregion test_trigger_validation_skips_no_dashboards + + +# #region test_remove_validation_job [C:1] [TYPE Function] +def test_remove_validation_job(): + """Verify remove_validation_job removes an existing job.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + svc.add_validation_job("pol-remove", cron_expression="0 10 * * 1") + assert sched.get_job("validation_pol-remove") is not None + + svc.remove_validation_job("pol-remove") + assert sched.get_job("validation_pol-remove") is None + finally: + _stop_scheduler(sched) +# #endregion test_remove_validation_job + + +# #region test_remove_nonexistent_validation_job [C:1] [TYPE Function] +def test_remove_nonexistent_validation_job(): + """Verify remove_validation_job handles non-existent job silently.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + # Should not raise + svc.remove_validation_job("nonexistent-pol") + finally: + _stop_scheduler(sched) +# #endregion test_remove_nonexistent_validation_job + + +# #region test_reload_validation_policy_adds_job [C:1] [TYPE Function] +def test_reload_validation_policy_adds_job(): + """Verify reload_validation_policy registers a job for an active policy with schedule.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + # Mock DB to return an active policy with schedule_days + mock_policy = MagicMock() + mock_policy.id = "pol-reload" + mock_policy.is_active = True + mock_policy.schedule_days = [0, 2, 4] + mock_policy.window_start = time(10, 30) + + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = mock_policy + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + svc.reload_validation_policy("pol-reload") + + job = sched.get_job("validation_pol-reload") + assert job is not None, "Job should be registered after reload" + finally: + _stop_scheduler(sched) +# #endregion test_reload_validation_policy_adds_job + + +# #region test_reload_validation_policy_removes_job_when_policy_gone [C:1] [TYPE Function] +def test_reload_validation_policy_removes_job_when_policy_gone(): + """Verify reload_validation_policy removes job when policy is missing or inactive.""" + from src.core.scheduler import SchedulerService + + sched = _start_scheduler() + try: + cfg = _make_mock_config_manager() + tm = _make_mock_task_manager() + + svc = SchedulerService.__new__(SchedulerService) + svc.task_manager = tm + svc.config_manager = cfg + svc.scheduler = sched + + # Pre-register a job + svc.add_validation_job("pol-gone", cron_expression="0 10 * * 1") + assert sched.get_job("validation_pol-gone") is not None + + # Mock DB to return None (policy not found) + mock_db = MagicMock() + mock_db.query.return_value.filter.return_value.first.return_value = None + + with patch("src.core.scheduler.SessionLocal", return_value=mock_db): + svc.reload_validation_policy("pol-gone") + + # Job should have been removed + assert sched.get_job("validation_pol-gone") is None + finally: + _stop_scheduler(sched) +# #endregion test_reload_validation_policy_removes_job_when_policy_gone # #endregion TestCoreScheduler diff --git a/backend/tests/test_layout_utils.py b/backend/tests/test_layout_utils.py new file mode 100644 index 00000000..97875ac0 --- /dev/null +++ b/backend/tests/test_layout_utils.py @@ -0,0 +1,55 @@ +# #region test_layout_utils [C:3] [TYPE TestModule] [SEMANTICS test, layout, superset, height, estimation] +# @BRIEF Contract tests for layout utility functions — _estimate_markdown_height. +# Verifies the height estimation formula: empty → 19, short text → computed, +# padding accounted for, and long text capped at 200. +# @LAYER Test +# @RELATION BINDS_TO -> [LayoutUtils] +# @TEST_CONTRACT: _estimate_markdown_height(str) -> int in [19, 200] +# @TEST_EDGE: empty_content -> returns minimum height (19) +# @TEST_EDGE: html_only_content -> returns minimum height (19) +# @TEST_EDGE: content_with_padding -> padding:12 correctly increases height +# @TEST_EDGE: very_long_content -> capped at maximum height (200) +import pytest + +from src.core.superset_client._layout_utils import _estimate_markdown_height + + +class TestEstimateMarkdownHeight: + """Tests for _estimate_markdown_height pure function.""" + + # #region test_empty_content [C:2] [TYPE Function] + # @BRIEF Empty string returns minimum height 19. + def test_empty_content(self): + assert _estimate_markdown_height("") == 19 + # #endregion test_empty_content + + # #region test_single_line_text [C:2] [TYPE Function] + # @BRIEF Short text without padding returns expected computed height. + # 200 chars → 200//40+1 = 6 lines → 6*22 = 132px → 40+132 = 172px → 172//8 = 21 + def test_single_line_text(self): + text = "A" * 200 + assert _estimate_markdown_height(text) == 21 + # #endregion test_single_line_text + + # #region test_content_with_padding [C:2] [TYPE Function] + # @BRIEF Content with padding:12 — 24px added to content height. + # 200 chars + padding:12 → 6*22 + 24 = 156 → 40+156 = 196 → 196//8 = 24 + def test_content_with_padding(self): + content = '
' + "A" * 200 + "
" + assert _estimate_markdown_height(content) == 24 + # #endregion test_content_with_padding + + # #region test_very_long_content [C:2] [TYPE Function] + # @BRIEF Very long content (3000 chars) capped at max height 200. + def test_very_long_content(self): + text = "A" * 3000 + assert _estimate_markdown_height(text) == 200 + # #endregion test_very_long_content + + # #region test_html_only_content [C:2] [TYPE Function] + # @BRIEF HTML-only content (no visible text) returns minimum height 19. + def test_html_only_content(self): + content = "
" + assert _estimate_markdown_height(content) == 19 + # #endregion test_html_only_content +# #endregion test_layout_utils diff --git a/backend/tests/test_maintenance_api.py b/backend/tests/test_maintenance_api.py new file mode 100644 index 00000000..d5d056ca --- /dev/null +++ b/backend/tests/test_maintenance_api.py @@ -0,0 +1,466 @@ +# #region test_maintenance_api [C:3] [TYPE TestModule] [SEMANTICS test, maintenance, api, fastapi, pytest] +# @BRIEF Contract tests for Maintenance Banner API endpoints — T016, T025. +# Tests POST /start, POST /{id}/end, POST /end-all, GET /events, GET /dashboard-banners, +# GET /settings, PUT /settings. +# @LAYER Test +# @RELATION BINDS_TO -> [MaintenanceRoutesModule] +# @TEST_CONTRACT: POST /api/maintenance/start -> 202 {task_id, maintenance_id, status} +# @TEST_CONTRACT: POST /api/maintenance/{id}/end -> 202 {task_id, status} +# @TEST_CONTRACT: POST /api/maintenance/end-all -> 202 {task_id, status} +# @TEST_EDGE: missing_tables -> 422 validation error +# @TEST_EDGE: end_time_before_start_time -> 400 validation error +# @TEST_EDGE: non_existent_event_end -> 404 not found +import json +import os +import uuid +from datetime import datetime, timezone, timedelta +from typing import Any +from unittest.mock import AsyncMock, MagicMock, patch, PropertyMock + +import pytest +from fastapi import status + +# Patch GitService at module level to prevent /app/storage/repositories error +# This patches the base module BEFORE any imports can reach it +import sys +from unittest.mock import MagicMock + +_mock_git_svc_cls = MagicMock() +_mock_git_svc_cls.return_value = MagicMock() +sys.modules['src.services.git._base'] = MagicMock(GitService=_mock_git_svc_cls) +sys.modules['src.services.git_service'] = MagicMock(GitService=_mock_git_svc_cls) + + +# ── Fixtures ────────────────────────────────────────────────── + +@pytest.fixture +def client(): + """Create a TestClient with all dependencies mocked.""" + from fastapi.testclient import TestClient + from src.app import app + return TestClient(app) + + +def _mock_auth_overrides(): + """Apply dependency overrides for authentication. + + Creates a mock admin user so that all RBAC checks pass. + The Admin role has full access via has_permission()'s special case. + """ + from src.dependencies import get_current_user + from src.app import app + + # Create admin user with Admin role (full access) + mock_role = MagicMock() + mock_role.name = "Admin" + mock_role.permissions = [] + + mock_user = MagicMock() + mock_user.username = "test-admin" + mock_user.roles = [mock_role] + + async def _mock_get_current_user(): + return mock_user + + app.dependency_overrides[get_current_user] = _mock_get_current_user + + +def _clear_overrides(): + """Clear dependency overrides.""" + from src.app import app + app.dependency_overrides = {} + + +@pytest.fixture(autouse=True) +def auth_mock(): + """Auto-apply auth mocks for all tests.""" + _mock_auth_overrides() + yield + _clear_overrides() + + +@pytest.fixture +def mock_db(): + """Patch get_db dependency to return a clean in-memory session. + + Uses StaticPool so all Session() instances share the same connection, + preventing SQLite threading issues where each :memory: connection + creates a separate database. + Creates all tables on the shared Base.metadata. + """ + from sqlalchemy import create_engine + from sqlalchemy.orm import sessionmaker, Session as SASession + from sqlalchemy.pool import StaticPool + from src.models.mapping import Base + from src.dependencies import get_db + from src.models.maintenance import MaintenanceSettings, DashboardScope + + # StaticPool ensures all sessions share the same in-memory connection + engine = create_engine( + "sqlite:///:memory:", + poolclass=StaticPool, + connect_args={"check_same_thread": False}, + echo=False, + ) + Base.metadata.create_all(engine) + Session = sessionmaker(bind=engine) + session = Session() + + # Create default settings + settings = MaintenanceSettings( + id="default", + target_environment_id="test-env", + display_timezone="UTC", + banner_template="Test: {message} ({start_time}-{end_time})", + dashboard_scope=DashboardScope.PUBLISHED_ONLY, + excluded_dashboard_ids=[], + forced_dashboard_ids=[], + ) + session.add(settings) + session.commit() + + def _get_db_override(): + db = Session() + try: + yield db + finally: + db.close() + + from src.app import app + app.dependency_overrides[get_db] = _get_db_override + yield session + app.dependency_overrides.pop(get_db, None) + session.close() + + +@pytest.fixture +def mock_task_manager(): + """Patch get_task_manager to return a mock.""" + from src.dependencies import get_task_manager + + mock_tm = MagicMock() + mock_task = MagicMock() + mock_task.id = "test-task-id-123" + mock_tm.create_task = AsyncMock(return_value=mock_task) + + from src.app import app + app.dependency_overrides[get_task_manager] = lambda: mock_tm + yield mock_tm + app.dependency_overrides.pop(get_task_manager, None) + + +# ── T016: POST /api/maintenance/start ───────────────────────── + +class TestStartEndpoint: + """Contract tests for POST /api/maintenance/start.""" + + # #region test_start_returns_202 [C:2] [TYPE Function] + # @BRIEF Valid request returns 202 with task_id and maintenance_id. + def test_start_returns_202(self, client, mock_db, mock_task_manager): + response = client.post( + "/api/maintenance/start", + json={ + "tables": ["raw.sales"], + "start_time": (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat(), + "end_time": (datetime.now(timezone.utc) + timedelta(hours=3)).isoformat(), + "message": "Test maintenance", + }, + ) + assert response.status_code == 202 + data = response.json() + assert "task_id" in data + assert "maintenance_id" in data + assert data["status"] == "pending" + # #endregion test_start_returns_202 + + # #region test_start_missing_tables [C:2] [TYPE Function] + # @BRIEF Missing tables field returns 422. + def test_start_missing_tables(self, client, mock_db, mock_task_manager): + response = client.post( + "/api/maintenance/start", + json={ + "start_time": (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat(), + }, + ) + assert response.status_code == 422 + # #endregion test_start_missing_tables + + # #region test_start_end_time_before_start [C:2] [TYPE Function] + # @BRIEF end_time before start_time returns 400. + def test_start_end_time_before_start(self, client, mock_db, mock_task_manager): + response = client.post( + "/api/maintenance/start", + json={ + "tables": ["raw.sales"], + "start_time": (datetime.now(timezone.utc) + timedelta(hours=3)).isoformat(), + "end_time": (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat(), + }, + ) + assert response.status_code == 400 + # #endregion test_start_end_time_before_start + + # #region test_start_too_many_tables [C:2] [TYPE Function] + # @BRIEF More than 100 tables returns 422 (Pydantic validation). + def test_start_too_many_tables(self, client, mock_db, mock_task_manager): + tables = [f"raw.table{i}" for i in range(101)] + response = client.post( + "/api/maintenance/start", + json={ + "tables": tables, + "start_time": (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat(), + }, + ) + assert response.status_code == 422 + # #endregion test_start_too_many_tables + + # #region test_start_idempotency [C:2] [TYPE Function] + # @BRIEF Same (tables, start, end) returns already_active. + def test_start_idempotency(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + + payload = { + "tables": ["raw.sales"], + "start_time": (datetime.now(timezone.utc) + timedelta(hours=1)).isoformat(), + "end_time": (datetime.now(timezone.utc) + timedelta(hours=3)).isoformat(), + } + + # First call creates event + response1 = client.post("/api/maintenance/start", json=payload) + assert response1.status_code == 202 + + # Manually set event to ACTIVE so idempotency check finds it + maintenance_id = response1.json()["maintenance_id"] + event = mock_db.query(MaintenanceEvent).filter( + MaintenanceEvent.id == maintenance_id + ).first() + if event: + event.status = MaintenanceEventStatus.ACTIVE + mock_db.commit() + + # Second call with same params — idempotent + response2 = client.post("/api/maintenance/start", json=payload) + assert response2.status_code == 202 + data = response2.json() + # Should have maintenance_id and status + assert data.get("maintenance_id") or data.get("status") + # #endregion test_start_idempotency + + +# ── T025: POST /api/maintenance/{id}/end ────────────────────── + +class TestEndEndpoint: + """Contract tests for POST /api/maintenance/{id}/end.""" + + # #region test_end_returns_202 [C:2] [TYPE Function] + # @BRIEF Valid maintenance_id returns 202. + def test_end_returns_202(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + + event = MaintenanceEvent( + tables=["raw.sales"], + start_time=datetime.now(timezone.utc), + status=MaintenanceEventStatus.ACTIVE, + environment_id="test-env", + ) + mock_db.add(event) + mock_db.commit() + + response = client.post(f"/api/maintenance/{event.id}/end") + assert response.status_code == 202 + data = response.json() + assert "task_id" in data + # #endregion test_end_returns_202 + + # #region test_end_not_found [C:2] [TYPE Function] + # @BRIEF Non-existent maintenance_id returns 404. + def test_end_not_found(self, client, mock_db, mock_task_manager): + response = client.post("/api/maintenance/nonexistent-id/end") + assert response.status_code == 404 + # #endregion test_end_not_found + + +# ── POST /api/maintenance/end-all ───────────────────────────── + +class TestEndAllEndpoint: + """Contract tests for POST /api/maintenance/end-all.""" + + # #region test_end_all_returns_202 [C:2] [TYPE Function] + # @BRIEF end-all returns 202. + def test_end_all_returns_202(self, client, mock_db, mock_task_manager): + response = client.post("/api/maintenance/end-all") + assert response.status_code == 202 + data = response.json() + assert "task_id" in data + assert data["status"] == "pending" + # #endregion test_end_all_returns_202 + + +# ── GET /api/maintenance/events ─────────────────────────────── + +class TestEventsEndpoint: + """Contract tests for GET /api/maintenance/events.""" + + # #region test_list_events [C:2] [TYPE Function] + # @BRIEF Returns active and completed events. + def test_list_events(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + + active = MaintenanceEvent( + tables=["raw.active"], + start_time=datetime.now(timezone.utc), + status=MaintenanceEventStatus.ACTIVE, + environment_id="test-env", + ) + mock_db.add(active) + + completed = MaintenanceEvent( + tables=["raw.done"], + start_time=datetime.now(timezone.utc), + status=MaintenanceEventStatus.COMPLETED, + environment_id="test-env", + ) + mock_db.add(completed) + mock_db.commit() + + response = client.get("/api/maintenance/events") + assert response.status_code == 200 + data = response.json() + assert "active" in data + assert "completed" in data + # #endregion test_list_events + + # #region test_expired_event_auto_ends [C:2] [TYPE Function] + # @BRIEF Event past end_time with ACTIVE status → create_task called with auto-end params. + def test_expired_event_auto_ends(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + from datetime import timedelta + + event = MaintenanceEvent( + tables=["raw.sales"], + start_time=datetime.now(timezone.utc) - timedelta(hours=2), + end_time=datetime.now(timezone.utc) - timedelta(hours=1), + message="Expired maintenance", + status=MaintenanceEventStatus.ACTIVE, + environment_id="test-env", + ) + mock_db.add(event) + mock_db.commit() + + response = client.get("/api/maintenance/events") + assert response.status_code == 200 + + mock_task_manager.create_task.assert_called_once_with( + plugin_id="maintenance_banner_apply", + params={ + "operation": "end", + "event_id": event.id, + "environment_id": "test-env", + "user": "system", + }, + ) + # #endregion test_expired_event_auto_ends + + # #region test_future_end_time_skipped [C:2] [TYPE Function] + # @BRIEF Event with future end_time → no task created, skipped by < now filter. + def test_future_end_time_skipped(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + from datetime import timedelta + + event = MaintenanceEvent( + tables=["raw.sales"], + start_time=datetime.now(timezone.utc) + timedelta(hours=1), + end_time=datetime.now(timezone.utc) + timedelta(hours=3), + message="Future maintenance", + status=MaintenanceEventStatus.ACTIVE, + environment_id="test-env", + ) + mock_db.add(event) + mock_db.commit() + + response = client.get("/api/maintenance/events") + assert response.status_code == 200 + + mock_task_manager.create_task.assert_not_called() + # #endregion test_future_end_time_skipped + + # #region test_no_end_time_skipped [C:2] [TYPE Function] + # @BRIEF Event with end_time=None → no task created, skipped by isnot(None) filter. + def test_no_end_time_skipped(self, client, mock_db, mock_task_manager): + from src.models.maintenance import MaintenanceEvent, MaintenanceEventStatus + from datetime import timedelta + + event = MaintenanceEvent( + tables=["raw.sales"], + start_time=datetime.now(timezone.utc) - timedelta(hours=2), + end_time=None, + message="No end time", + status=MaintenanceEventStatus.ACTIVE, + environment_id="test-env", + ) + mock_db.add(event) + mock_db.commit() + + response = client.get("/api/maintenance/events") + assert response.status_code == 200 + + mock_task_manager.create_task.assert_not_called() + # #endregion test_no_end_time_skipped + + +# ── GET /api/maintenance/dashboard-banners ──────────────────── + +class TestDashboardBannersEndpoint: + """Contract tests for GET /api/maintenance/dashboard-banners.""" + + # #region test_list_banners [C:2] [TYPE Function] + # @BRIEF Returns list of active banners. + def test_list_banners(self, client, mock_db, mock_task_manager): + from src.models.maintenance import ( + MaintenanceDashboardBanner, + MaintenanceDashboardBannerStatus, + ) + + banner = MaintenanceDashboardBanner( + environment_id="test-env", + dashboard_id=101, + chart_id=12345, + banner_text="Test", + status=MaintenanceDashboardBannerStatus.ACTIVE, + ) + mock_db.add(banner) + mock_db.commit() + + response = client.get("/api/maintenance/dashboard-banners") + assert response.status_code == 200 + data = response.json() + assert isinstance(data, list) + # #endregion test_list_banners + + +# ── GET /api/maintenance/settings ───────────────────────────── + +class TestSettingsEndpoint: + """Contract tests for GET/PUT /api/maintenance/settings.""" + + # #region test_get_settings [C:2] [TYPE Function] + # @BRIEF GET returns settings. + def test_get_settings(self, client, mock_db, mock_task_manager): + response = client.get("/api/maintenance/settings") + assert response.status_code == 200 + data = response.json() + assert "target_environment_id" in data + assert data["target_environment_id"] == "test-env" + # #endregion test_get_settings + + # #region test_put_settings [C:2] [TYPE Function] + # @BRIEF PUT updates settings. + def test_put_settings(self, client, mock_db, mock_task_manager): + response = client.put( + "/api/maintenance/settings", + json={"display_timezone": "Europe/Moscow"}, + ) + assert response.status_code == 200 + data = response.json() + assert data["display_timezone"] == "Europe/Moscow" + # #endregion test_put_settings +# #endregion test_maintenance_api diff --git a/backend/tests/test_maintenance_service.py b/backend/tests/test_maintenance_service.py new file mode 100644 index 00000000..4eeeae82 --- /dev/null +++ b/backend/tests/test_maintenance_service.py @@ -0,0 +1,622 @@ +# #region test_maintenance_service [C:3] [TYPE TestModule] [SEMANTICS test, maintenance, service, pytest, integration] +# @BRIEF Integration tests for MaintenanceService — T018, T026, T026a. +# Tests the C3/C4 orchestrators: start_maintenance, end_maintenance, end_all_maintenance, +# and helpers: find_affected_dashboards, ensure_banner_chart, build_banner_text, rebuild_banner. +# @LAYER Test +# @RELATION BINDS_TO -> [MaintenanceServiceModule] +# @TEST_CONTRACT: start_maintenance(str, Session, SupersetClient) -> dict +# @TEST_CONTRACT: end_maintenance(str, Session, SupersetClient) -> dict +# @TEST_CONTRACT: end_all_maintenance(Session, SupersetClient) -> dict +# @TEST_EDGE: event_not_found -> returns failed status with error message +# @TEST_EDGE: no_matching_dashboards -> returns "no_match" status +# @TEST_EDGE: superset_api_failure -> returns partial/failed with error details +import uuid +from datetime import datetime, timezone +from typing import Any, cast +from unittest.mock import MagicMock, patch, PropertyMock + +import pytest + +from src.models.maintenance import ( + DashboardScope, + MaintenanceDashboardBanner, + MaintenanceDashboardBannerStatus, + MaintenanceDashboardState, + MaintenanceDashboardStateStatus, + MaintenanceEvent, + MaintenanceEventStatus, + MaintenanceSettings, +) +from src.services.maintenance import ( + build_banner_text, + build_idempotency_key, + end_all_maintenance, + end_maintenance, + ensure_banner_chart, + find_affected_dashboards, + rebuild_banner, + start_maintenance, +) + + +# ── Fixtures ────────────────────────────────────────────────── + +@pytest.fixture +def mock_superset(): + """Create a mock SupersetClient for testing.""" + client = MagicMock() + # Default: no datasets + client.get_datasets.return_value = (0, []) + client.get_dashboards.return_value = (0, []) + client.get_dataset_detail.return_value = {"linked_dashboards": []} + client.create_markdown_chart.return_value = 12345 + client.get_chart.return_value = {"id": 12345, "result": {"viz_type": "markdown"}} + client.update_banner_on_dashboard.return_value = {"result": "ok"} + client.update_dashboard_layout.return_value = {"result": "ok"} + client.remove_chart_from_layout.return_value = {"result": "ok"} + client.delete_chart.return_value = {"result": "ok"} + return client + + +@pytest.fixture +def db_session(): + """Create an in-memory SQLite session with tables.""" + from sqlalchemy import create_engine + from sqlalchemy.orm import sessionmaker + from src.models.mapping import Base + + engine = create_engine("sqlite:///:memory:", echo=False) + Base.metadata.create_all(engine) + Session = sessionmaker(bind=engine) + session = Session() + + # Create default settings + settings = MaintenanceSettings( + id="default", + target_environment_id="test-env", + display_timezone="UTC", + banner_template="Maintenance: {message} ({start_time} - {end_time})", + dashboard_scope=DashboardScope.PUBLISHED_ONLY, + excluded_dashboard_ids=[], + forced_dashboard_ids=[], + ) + session.add(settings) + session.commit() + return session + + +@pytest.fixture +def pending_event(db_session): + """Create a PENDING maintenance event in the DB.""" + event = MaintenanceEvent( + tables=["raw.sales", "raw.inventory"], + start_time=datetime.now(timezone.utc), + end_time=datetime.now(timezone.utc), + message="Test maintenance", + status=MaintenanceEventStatus.PENDING, + environment_id="test-env", + ) + db_session.add(event) + db_session.commit() + return event + + +# ── T017: build_idempotency_key tests ───────────────────────── + +class TestBuildIdempotencyKey: + """Tests for build_idempotency_key helper.""" + + # #region test_basic_key [C:2] [TYPE Function] + # @BRIEF Basic idempotency key with tables and times. + def test_basic_key(self): + tables = ["raw.sales", "RAW.INVENTORY"] + start = datetime(2026, 5, 21, 22, 0, 0, tzinfo=timezone.utc) + end = datetime(2026, 5, 22, 2, 0, 0, tzinfo=timezone.utc) + key = build_idempotency_key(tables, start, end) + assert key[0] == frozenset({"raw.inventory", "raw.sales"}) + assert key[1] == "2026-05-21T22:00:00+00:00" + assert key[2] == "2026-05-22T02:00:00+00:00" + # #endregion test_basic_key + + # #region test_key_without_end_time [C:2] [TYPE Function] + # @BRIEF Idempotency key with None end_time. + def test_key_without_end_time(self): + tables = ["raw.sales"] + start = datetime(2026, 5, 21, 22, 0, 0, tzinfo=timezone.utc) + key = build_idempotency_key(tables, start, None) + assert key[0] == frozenset({"raw.sales"}) + assert key[1] == "2026-05-21T22:00:00+00:00" + assert key[2] is None + # #endregion test_key_without_end_time + + # #region test_key_table_sorting [C:2] [TYPE Function] + # @BRIEF Tables are sorted alphabetically in frozenset. + def test_key_table_sorting(self): + key1 = build_idempotency_key(["z.table", "a.table"], None, None) + key2 = build_idempotency_key(["a.table", "z.table"], None, None) + assert key1 == key2 + # #endregion test_key_table_sorting + + +# ── T019: find_affected_dashboards tests ────────────────────── + +class TestFindAffectedDashboards: + """Tests for find_affected_dashboards.""" + + # #region test_empty_tables [C:2] [TYPE Function] + # @BRIEF Empty tables list returns empty. + def test_empty_tables(self, mock_superset): + result = find_affected_dashboards([], mock_superset) + assert result == [] + # #endregion test_empty_tables + + # #region test_table_based_match [C:2] [TYPE Function] + # @BRIEF Table-based dataset matching. + def test_table_based_match(self, mock_superset): + mock_superset.get_datasets.return_value = (2, [ + {"id": 1, "schema": "raw", "table_name": "sales", "sql": None}, + {"id": 2, "schema": "raw", "table_name": "inventory", "sql": None}, + ]) + mock_superset.get_dataset_detail.side_effect = [ + {"linked_dashboards": [{"id": 101}]}, + {"linked_dashboards": [{"id": 102}]}, + ] + + result = find_affected_dashboards(["raw.sales"], mock_superset) + assert 101 in result + assert 102 not in result + # #endregion test_table_based_match + + # #region test_virtual_dataset_match [C:2] [TYPE Function] + # @BRIEF Virtual SQL dataset matching via SqlTableExtractor. + def test_virtual_dataset_match(self, mock_superset): + mock_superset.get_datasets.return_value = (1, [ + { + "id": 1, + "schema": "raw", + "table_name": "sales_view", + "sql": "SELECT * FROM raw.sales", + "is_sqllab_view": True, + }, + ]) + mock_superset.get_dataset_detail.return_value = { + "linked_dashboards": [{"id": 101}], + } + + result = find_affected_dashboards(["raw.sales"], mock_superset) + assert 101 in result + # #endregion test_virtual_dataset_match + + # #region test_case_insensitive_matching [C:2] [TYPE Function] + # @BRIEF Matching is case-insensitive. + def test_case_insensitive_matching(self, mock_superset): + mock_superset.get_datasets.return_value = (1, [ + {"id": 1, "schema": "RAW", "table_name": "SALES", "sql": None}, + ]) + mock_superset.get_dataset_detail.return_value = { + "linked_dashboards": [{"id": 101}], + } + + result = find_affected_dashboards(["raw.sales"], mock_superset) + assert 101 in result + # #endregion test_case_insensitive_matching + + # #region test_superset_api_failure [C:2] [TYPE Function] + # @BRIEF Superset API failure propagates. + def test_superset_api_failure(self, mock_superset): + mock_superset.get_datasets.side_effect = Exception("Superset API error") + with pytest.raises(Exception, match="Superset API error"): + find_affected_dashboards(["raw.sales"], mock_superset) + # #endregion test_superset_api_failure + + +# ── T019a: ensure_banner_chart tests ────────────────────────── + +class TestEnsureBannerChart: + """Tests for ensure_banner_chart.""" + + # #region test_creates_new_banner [C:2] [TYPE Function] + # @BRIEF No existing banner — creates new chart and banner row. + def test_creates_new_banner(self, mock_superset, db_session): + banner = ensure_banner_chart( + 101, "test-env", mock_superset, db_session + ) + assert banner.dashboard_id == 101 + assert banner.chart_id == 12345 + assert banner.status == MaintenanceDashboardBannerStatus.ACTIVE + mock_superset.create_markdown_chart.assert_called_once_with(101, "*Maintenance banner placeholder*") + mock_superset.update_dashboard_layout.assert_called_once_with(101, 12345) + # #endregion test_creates_new_banner + + # #region test_returns_existing_banner [C:2] [TYPE Function] + # @BRIEF Existing active banner — returns it. + def test_returns_existing_banner(self, mock_superset, db_session): + existing = MaintenanceDashboardBanner( + environment_id="test-env", + dashboard_id=101, + chart_id=999, + banner_text="Existing", + status=MaintenanceDashboardBannerStatus.ACTIVE, + ) + db_session.add(existing) + db_session.commit() + + banner = ensure_banner_chart( + 101, "test-env", mock_superset, db_session + ) + assert banner.id == existing.id + assert banner.chart_id == 999 + mock_superset.create_markdown_chart.assert_not_called() + # #endregion test_returns_existing_banner + + # #region test_chart_creation_failure [C:2] [TYPE Function] + # @BRIEF Chart creation failure propagates. + def test_chart_creation_failure(self, mock_superset, db_session): + mock_superset.create_markdown_chart.side_effect = Exception("Chart error") + with pytest.raises(Exception, match="Chart error"): + ensure_banner_chart(101, "test-env", mock_superset, db_session) + # #endregion test_chart_creation_failure + + +# ── T020: build_banner_text tests ───────────────────────────── + +class TestBuildBannerText: + """Tests for build_banner_text.""" + + # #region test_single_event [C:2] [TYPE Function] + # @BRIEF Single event — direct substitution. + def test_single_event(self): + events = [ + {"start_time": "2026-05-21T22:00:00+00:00", + "end_time": "2026-05-22T02:00:00+00:00", + "message": "Updating tables"} + ] + template = "Banner: {message} ({start_time} - {end_time})" + result = build_banner_text(events, template) + assert "Updating tables" in result + assert "2026-05-21 22:00" in result + assert "2026-05-22 02:00" in result + # #endregion test_single_event + + # #region test_multiple_events [C:2] [TYPE Function] + # @BRIEF Multiple events — combined message. + def test_multiple_events(self): + events = [ + {"start_time": "2026-05-21T22:00:00+00:00", + "end_time": "2026-05-22T02:00:00+00:00", + "message": "Event 1"}, + {"start_time": "2026-05-23T22:00:00+00:00", + "end_time": "2026-05-24T02:00:00+00:00", + "message": "Event 2"}, + ] + template = "Banner: {message} ({start_time} - {end_time})" + result = build_banner_text(events, template) + assert "Event 1" in result + assert "Event 2" in result + # #endregion test_multiple_events + + # #region test_empty_events [C:2] [TYPE Function] + # @BRIEF Empty events list returns empty string. + def test_empty_events(self): + result = build_banner_text([], "Template: {message}") + assert result == "" + # #endregion test_empty_events + + # #region test_missing_variables [C:2] [TYPE Function] + # @BRIEF Missing variables replaced with empty string. + def test_missing_variables(self): + events = [{"start_time": None, "end_time": None, "message": "Hi"}] + template = "Start: {start_time} - End: {end_time} - Msg: {message}" + result = build_banner_text(events, template) + assert "уточняется" in result + assert "Hi" in result + # #endregion test_missing_variables + + # #region test_html_escaping [C:2] [TYPE Function] + # @BRIEF Message is HTML-escaped. + def test_html_escaping(self): + events = [{ + "start_time": "2026-05-21T22:00:00+00:00", + "end_time": "2026-05-22T02:00:00+00:00", + "message": "", + }] + template = "{message}" + result = build_banner_text(events, template) + assert " + +{#if isActive} + + {$t.maintenance?.maintenance_badge || "Maintenance"} + +{/if} + diff --git a/frontend/src/lib/components/MaintenanceEventsTable.svelte b/frontend/src/lib/components/MaintenanceEventsTable.svelte new file mode 100644 index 00000000..d8dffc24 --- /dev/null +++ b/frontend/src/lib/components/MaintenanceEventsTable.svelte @@ -0,0 +1,283 @@ + + + + + + + + + + + + + + + + +
+ +
+
+

+ {$t.maintenance?.active_events || "Active Events"} +

+ + {#if activeEvents.length > 0} + + {/if} +
+ + {#if isLoading && activeEvents.length === 0} + +
+ + + + + + + + + + + + + + {#each [1, 2, 3] as _, i (i)} + + + + + + + + + + {/each} + +
IDTablesDashboardsStartEndStatusActions
+
+ {:else if activeEvents.length === 0} + +
+

+ {$t.maintenance?.no_active_events || "No active maintenance events"} +

+
+ {:else} + +
+ + + + + + + + + + + + + + {#each activeEvents as event (event.id)} + + + + + + + + + + {/each} + +
+ {$t.maintenance?.event_id || "Event ID"} + + {$t.maintenance?.tables || "Tables"} + + {$t.maintenance?.affected_dashboards || "Dashboards"} + + {$t.maintenance?.start_time || "Start Time"} + + {$t.maintenance?.end_time || "End Time"} + + {$t.maintenance?.status || "Status"} + + {$t.maintenance?.actions || "Actions"} +
+ {event.id?.length > 16 ? event.id.slice(0, 16) + "…" : event.id} + + {(event.tables || []).join(", ") || "-"} + + {event.affected_count ?? "-"} + + {formatTime(event.start_time)} + + {formatTime(event.end_time)} + + + {event.status} + + + +
+
+ {/if} +
+ + + {#if completedEvents.length > 0} +
+ + {$t.maintenance?.completed_events || "Completed Events"} ({completedEvents.length}) + + +
+
+ + + + + + + + + + + + + {#each completedEvents as event (event.id)} + + + + + + + + + {/each} + +
IDTablesDashboardsStartEndStatus
+ {event.id?.length > 16 ? event.id.slice(0, 16) + "…" : event.id} + + {(event.tables || []).join(", ") || "-"} + + {event.affected_count ?? "-"} + + {formatTime(event.start_time)} + + {formatTime(event.end_time)} + + + {event.status} + +
+
+
+
+ {/if} +
+ diff --git a/frontend/src/lib/components/MaintenanceSettingsPanel.svelte b/frontend/src/lib/components/MaintenanceSettingsPanel.svelte new file mode 100644 index 00000000..01039b28 --- /dev/null +++ b/frontend/src/lib/components/MaintenanceSettingsPanel.svelte @@ -0,0 +1,324 @@ + + + + + + + + + + + + + + + + +
+ + {$t.maintenance?.settings || "Settings"} + + +
+
+ +
+ + + {$t.maintenance?.environment || "Environment"} + + + + +
+
+ + +
+ + {$t.maintenance?.scope || "Dashboard Scope"} + + +
+ + + +
+
+ + +
+
+ + + {$t.maintenance?.excluded_dashboards || "Excluded Dashboards"} + + + + +
+ +
+ + + {$t.maintenance?.forced_dashboards || "Forced Dashboards"} + + + + +
+
+ + +
+ + + + + + +
+ + {$t.maintenance?.banner_templates || "Banner Templates"}: + +
+ + + + +
+
+ + +
+ + + {#if bannerTemplate} +
+ + {$t.maintenance?.banner_preview || "Preview"} + +
+ {@html bannerPreview} +
+
+ {/if} + + +
+ +
+
+
+ diff --git a/frontend/src/lib/components/StartMaintenanceForm.svelte b/frontend/src/lib/components/StartMaintenanceForm.svelte new file mode 100644 index 00000000..e8357251 --- /dev/null +++ b/frontend/src/lib/components/StartMaintenanceForm.svelte @@ -0,0 +1,279 @@ + + + + + + + + + + + + + +
+
+

+ {$t.maintenance?.start_maintenance || "Start Maintenance"} +

+

+ {$t.maintenance?.start_maintenance_description || ""} +

+
+ +
+ +
+ + + {$t.maintenance?.template_label || "Quick Template"} + + +
+ {#each Object.entries(TEMPLATES) as [id, tmpl]} + + {/each} +
+
+ + +
+ + + + + + {#if tableError} +

{tableError}

+ {/if} +
+ + +
+
+ + + + + +
+ +
+ + + + + +
+
+ + +
+ + + + + +
+ + +
+ +
+
+
+ diff --git a/frontend/src/lib/components/health/ScheduleAtAGlance.svelte b/frontend/src/lib/components/health/ScheduleAtAGlance.svelte new file mode 100644 index 00000000..10892c40 --- /dev/null +++ b/frontend/src/lib/components/health/ScheduleAtAGlance.svelte @@ -0,0 +1,407 @@ + + + + + + + + + + + + + + + + + + +
+ +
+
+ + + +

+ {$t.health?.schedule_title || 'Schedule'} +

+
+ + {#if !loading && !error && scheduledTasks.length > 0} +
+ + + + {$t.health?.schedule_dashboard_count?.replace('{count}', String(totalDashboards)) || `${totalDashboards} dashboards`} + +
+ {/if} +
+ + + {#if loading} +
+
+ {#each Array(7) as _, i (i)} +
+ {/each} +
+
+
+
+
+
+ + + {:else if error} +
+
+ + + + {error} + +
+
+ + + {:else if scheduledTasks.length === 0} +
+
+ + + +
+

+ {$t.health?.schedule_empty || 'No active validation schedules.'} +

+

+ {$t.health?.schedule_empty_desc || 'Create a validation task with a schedule to see it here.'} +

+
+ + + {:else} +
+
+ +
+
+ {#each DAY_SHORT as dayLabel, idx (idx)} + {@const active = isDayActive(idx)} + {@const dayTasks = getTasksForDay(idx)} +
+ + {$t.validation?.[`days_${dayLabel}`] || dayLabel.toUpperCase()} + + {#if active} + {#each dayTasks.slice(0, 2) as task (task.id)} + {@const tc = getTaskColor(task)} + + {/each} + {#if dayTasks.length > 2} + +{dayTasks.length - 2} + {/if} + {/if} +
+ {/each} +
+ + +
+ + + + {#if scheduledTasks.length === 1} + {formatTimeRange(scheduledTasks[0].window_start, scheduledTasks[0].window_end)} + {:else} + {$t.health?.schedule_multi_time || 'Multiple windows'} + {/if} + · + {appTimezone} +
+
+ + +
+
+ {#each scheduledTasks as task (task.id)} + {@const status = getTaskStatus(task.id)} + {@const tc = status ? getStatusStyle(status) : null} + + {/each} +
+ + + {#if nextUpcoming} +
+
+ + + + {$t.health?.schedule_next || 'Next'}: + {nextUpcoming.task.name} + · + + {formatNextDay(nextUpcoming.dayIdx)} {nextUpcoming.timeStr?.slice(0, 5)} {appTimezone} + +
+
+ {/if} +
+
+
+ {/if} +
+ diff --git a/frontend/src/lib/components/layout/sidebarNavigation.js b/frontend/src/lib/components/layout/sidebarNavigation.js index 9db6e295..485b291b 100644 --- a/frontend/src/lib/components/layout/sidebarNavigation.js +++ b/frontend/src/lib/components/layout/sidebarNavigation.js @@ -183,6 +183,18 @@ export function buildSidebarSections(i18nState, user, features = {}) { { label: nav.admin_llm, path: "/admin/settings/llm", requiredPermission: "admin:settings", requiredAction: "READ" }, ], }, + { + id: "maintenance", + label: nav.maintenance || "Maintenance", + icon: "activity", + tone: "from-orange-100 to-orange-200 text-orange-700 ring-orange-200", + path: "/maintenance", + requiredPermission: "maintenance:write", + requiredAction: "READ", + subItems: [ + { label: nav.maintenance || "Maintenance", path: "/maintenance", requiredPermission: "maintenance:write", requiredAction: "READ" }, + ], + }, ], }; diff --git a/frontend/src/lib/components/translate/ScheduleConfig.svelte b/frontend/src/lib/components/translate/ScheduleConfig.svelte index caf0d20d..f78357c4 100644 --- a/frontend/src/lib/components/translate/ScheduleConfig.svelte +++ b/frontend/src/lib/components/translate/ScheduleConfig.svelte @@ -11,6 +11,7 @@ + + + + + + + + + diff --git a/frontend/src/routes/dashboards/+page.svelte b/frontend/src/routes/dashboards/+page.svelte index 2dcaa1bc..0ed65004 100644 --- a/frontend/src/routes/dashboards/+page.svelte +++ b/frontend/src/routes/dashboards/+page.svelte @@ -65,6 +65,7 @@ import MappingTable from "../../components/MappingTable.svelte"; import StartupEnvironmentWizard from "../../components/StartupEnvironmentWizard.svelte"; import SearchableMultiSelect from "$lib/components/ui/SearchableMultiSelect.svelte"; + import DashboardMaintenanceBadge from "$lib/components/DashboardMaintenanceBadge.svelte"; import { environmentContextStore, initializeEnvironmentContext, @@ -1597,7 +1598,7 @@ >
@@ -1606,11 +1607,12 @@
+
{#each Array(5) as _}
@@ -1619,6 +1621,7 @@
+
{/each} @@ -1733,7 +1736,7 @@
@@ -1941,6 +1944,9 @@ {/if}
+
+ {$t.maintenance?.maintenance_badge || "Maint."} +
{$t.dashboard?.actions}
@@ -2086,7 +2092,7 @@ {#each dashboards as dashboard}
@@ -2161,6 +2167,11 @@ {/if}
+ +
+ +
+
diff --git a/frontend/src/routes/dashboards/health/+page.svelte b/frontend/src/routes/dashboards/health/+page.svelte index 7d39d26e..90243d2e 100644 --- a/frontend/src/routes/dashboards/health/+page.svelte +++ b/frontend/src/routes/dashboards/health/+page.svelte @@ -2,14 +2,17 @@ + + +
+ +
+

+ {$t.maintenance?.title || "Maintenance Banners"} +

+ +
+ + {#if pageLoading} + +
+
+
+
+
+
+
+
+
+
+
+ {#each [1, 2, 3] as _, i (i)} +
+ {/each} +
+
+ {:else} + + maintenanceStore.loadEvents()} /> + + + + + + + {/if} +
+ diff --git a/frontend/src/routes/migration/+page.svelte b/frontend/src/routes/migration/+page.svelte index 842221a3..9705724e 100644 --- a/frontend/src/routes/migration/+page.svelte +++ b/frontend/src/routes/migration/+page.svelte @@ -492,7 +492,7 @@ - + diff --git a/frontend/src/routes/reports/llm/[taskId]/+page.svelte b/frontend/src/routes/reports/llm/[taskId]/+page.svelte index 9b2e7694..31bc4b3a 100644 --- a/frontend/src/routes/reports/llm/[taskId]/+page.svelte +++ b/frontend/src/routes/reports/llm/[taskId]/+page.svelte @@ -1,6 +1,6 @@ -/+page.svelte:Component] --> + @@ -22,9 +23,12 @@
- + + + +

{$t.settings?.feature_dataset_review_hint || "Automatic dataset review, clarification workflow, and SQL execution."}

@@ -38,9 +42,12 @@
- + + + +

{$t.settings?.feature_health_monitor_hint || "Dashboard health monitoring and validation report aggregation."}

diff --git a/frontend/src/routes/settings/LlmSettings.svelte b/frontend/src/routes/settings/LlmSettings.svelte index 7de4adb6..0abff43c 100644 --- a/frontend/src/routes/settings/LlmSettings.svelte +++ b/frontend/src/routes/settings/LlmSettings.svelte @@ -11,6 +11,7 @@ import { t } from "$lib/i18n"; import ProviderConfig from "../../components/llm/ProviderConfig.svelte"; import { isDashboardValidationBindingValid } from "./settings-utils.js"; + import HelpTooltip from "$lib/ui/HelpTooltip.svelte"; let { settings = $bindable(), onSave } = $props(); @@ -38,12 +39,15 @@
- + + + +
- + + + +
- + + + +