Files
AI-Trader/tests
Bill 406bb281b2 fix: cleanup stale jobs on container restart to unblock new job creation
When a Docker container is shutdown and restarted, jobs with status
'pending', 'downloading_data', or 'running' remained in the database,
preventing new jobs from starting due to concurrency control checks.

This commit adds automatic cleanup of stale jobs during FastAPI startup:

- New cleanup_stale_jobs() method in JobManager (api/job_manager.py:702-779)
- Integrated into FastAPI lifespan startup (api/main.py:164-168)
- Intelligent status determination based on completion percentage:
  - 'partial' if any model-days completed (preserves progress data)
  - 'failed' if no progress made
- Detailed error messages with original status and completion counts
- Marks incomplete job_details as 'failed' with clear error messages
- Deployment-aware: skips cleanup in DEV mode when DB is reset
- Comprehensive logging at warning level for visibility

Testing:
- 6 new unit tests covering all cleanup scenarios (451-609)
- All 30 existing job_manager tests still pass
- Tests verify pending, running, downloading_data, partial progress,
  no stale jobs, and multiple stale jobs scenarios

Resolves issue where container restarts left stale jobs blocking the
can_start_new_job() concurrency check.
2025-11-06 21:24:45 -05:00
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