Introduce a new API key authentication mechanism to support service-to-service
communication (e.g., Airflow, CI/CD) without browser-based JWT login.
- Add `APIKey` model and `APIKeyPrincipal` dependency for RBAC.
- Implement `require_api_key_or_jwt` dependency with environment scoping.
- Add admin CRUD endpoints for API key lifecycle management.
- Add API key management UI in System Settings.
- Update maintenance API to support explicit `environment_id` and API key auth.
- Add i18n support for API keys and connection settings.
- Include Python and Bash usage examples in the `examples/` directory.
- Update technical specifications and documentation.
StatsBar — переделаны огромные карточки-кнопки в компактные пилюли
(rounded-full px-3 py-1 text-sm вместо p-3 grid grid-cols-4).
DatasetList — экшн-кнопки из bg-primary в outline-стиль, карточки
плотнее (p-2.5, py-0.5), ESLint-фиксы (#each key).
Backend — linked_dashboard_count теперь заполняется в списке датасетов
через /dataset/{id}/related_objects (конкурентно, Semaphore=3, timeout=10s).
Ранее поле было только в get_dataset_detail и StatsBar показывал 0.
Translations:
- FR-045: new-key-only execution mode — translate only rows with unseen keys
- Compare source row keys against TranslationRecord.source_data from last succeeded run
- Baseline expired (>90 days) fallback to full mode with baseline_expired event
- run_noop early return when zero new keys (skip LLM + SQL)
Scheduler reliability:
- Stale PENDING protection: runs older than 1h auto-marked FAILED, no longer block schedule
- load_schedules() reloads active translation schedules from DB on restart
- add_translation_job/remove_translation_job register/unregister with APScheduler
- execution_mode column on translation_schedules with additive DB migration
Automation view:
- GET /settings/automation/translation-schedules endpoint
- Translation schedules displayed on Automation page below validation policies
Trace propagation:
- seed_trace_id() in all background entry points:
TaskManager._run_task/_flusher_loop, SchedulerService._trigger_backup,
websocket_endpoint, IdMappingService, all standalone scripts
Migrations:
- dictionary_entries: origin_run_id, origin_row_key, origin_user_id
- translation_schedules: execution_mode
Tests:
- 3 new test modules (22 tests): core_scheduler, executor_filter, scheduler_execution+guard
- Fix pre-existing translate test isolation (conftest.py)
- Fix test_list_runs_filter_status parameter
- Fix ModuleNotFoundError: 4 lazy imports in _schedule_routes.py changed
from 3-dot to 4-dot relative imports (src.api.dependencies -> src.dependencies)
- Fix TypeError: update_schedule() param name mismatch (timezone -> timezone_str)
- Add add_translation_job/remove_translation_job to SchedulerService
to register translation schedules with APScheduler via execute_scheduled_translation
- Add GET /settings/automation/translation-schedules endpoint
returning all translation schedules with joined job names
- Update Automation settings page to display translation schedules
(cron, timezone, active badge, last run) below validation policies
Replace [Entry]/[Exit]/[Action]/[COHERENCE:OK] with [REASON]/[REFLECT]/[EXPLORE]
in belief_scope context manager, BeliefFormatter, and 34 source files.
Per molecular-cot-logging skill invariants.
- Add environment_id to TranslationJob model/schema/API + DB migration
- Pass environmentId from page to TranslationPreview and fetchPreview
- Fix _fetch_sample_rows: use result_type='samples' to include virtual cols
- Add 'kilo' and 'openrouter' to supported LLM provider types
- Make response_format conditional (skip for non-OpenAI upstream providers)
- Remove source_table field from form (redundant with datasource)
- Restore datasourceSearch display from saved job on page load
- Add request/response logging for LLM API calls
Move dataset review clarification into the assistant workspace and
rework the review page into a chat-centric layout with execution rails.
Add session-scoped assistant actions for mappings, semantic fields,
and SQL preview generation. Introduce optimistic locking for dataset
review mutations, propagate session versions through API responses,
and mask imported filter values before assistant exposure.
Refresh tests, i18n, and spec artifacts to match the new workflow.
BREAKING CHANGE: dataset review mutation endpoints now require the
X-Session-Version header, and clarification is no longer handled
through ClarificationDialog-based flows
