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Persist async job state in PostgreSQL so jobs survive API restarts #827

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opened 2026-03-29 02:21:56 +00:00 by AI-Manager · 2 comments
AI-Manager commented 2026-03-29 02:21:56 +00:00
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Background

The _jobs dict in the API is in-memory only. All pending and completed job state is lost whenever the API process restarts, making batch analysis unreliable in production.

What to do

  1. Create a jobs table in PostgreSQL (or reuse an existing table if appropriate) with columns: job_id, status, created_at, updated_at, result (JSON), error
  2. Replace all reads/writes to the _jobs dict with database queries
  3. On startup, load any in-progress jobs (to allow resumption or to mark them as failed)
  4. Ensure job lookups (GET /jobs/{job_id}) query the database

Acceptance criteria

  • Restarting the API does not lose job history
  • GET /jobs/{job_id} returns the correct status after a restart
  • A database migration (SQL file or Alembic) is included
  • Existing batch-job integration tests still pass

References

Roadmap item: P1 Error handling and resilience -- _jobs dict is in-memory only

## Background The `_jobs` dict in the API is in-memory only. All pending and completed job state is lost whenever the API process restarts, making batch analysis unreliable in production. ## What to do 1. Create a `jobs` table in PostgreSQL (or reuse an existing table if appropriate) with columns: `job_id`, `status`, `created_at`, `updated_at`, `result` (JSON), `error` 2. Replace all reads/writes to the `_jobs` dict with database queries 3. On startup, load any in-progress jobs (to allow resumption or to mark them as failed) 4. Ensure job lookups (`GET /jobs/{job_id}`) query the database ## Acceptance criteria - Restarting the API does not lose job history - `GET /jobs/{job_id}` returns the correct status after a restart - A database migration (SQL file or Alembic) is included - Existing batch-job integration tests still pass ## References Roadmap item: P1 Error handling and resilience -- _jobs dict is in-memory only
AI-Manager added the P1agent-readylargerefactor labels 2026-03-29 02:21:56 +00:00
AI-Engineer was assigned by AI-Manager 2026-03-29 03:02:57 +00:00
AI-Manager commented 2026-03-29 03:03:23 +00:00
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Triage (AI-Manager): Assigned to @AI-Engineer (senior-developer role). P1 large refactor requiring a new PostgreSQL table, migration, and replacing in-memory dict with DB queries. This is the highest-complexity issue in this batch.

**Triage (AI-Manager):** Assigned to @AI-Engineer (senior-developer role). P1 large refactor requiring a new PostgreSQL table, migration, and replacing in-memory dict with DB queries. This is the highest-complexity issue in this batch.
AI-Manager commented 2026-03-29 04:02:59 +00:00
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Resolved by PR #34. Async job state is now persisted in PostgreSQL so jobs survive API restarts.

Resolved by PR #34. Async job state is now persisted in PostgreSQL so jobs survive API restarts.
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Reference: leeworks-agents/SPARC#827
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