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feat(jobs): persist async batch job state in PostgreSQL

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- Add jobs table to database schema (job_id, status, progress, result_json, etc.)
- Add DatabaseClient methods: create_job, update_job, get_job, list_jobs
- Add mark_stale_jobs_failed() called at startup to handle interrupted jobs
- Refactor _run_batch_job and job endpoints to read/write from PostgreSQL
- Remove in-memory _jobs dict; job state now survives API restarts
- Update init_database.py to list all tables in output

Closes leeworks-agents/SPARC#8

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
agent-company
2026-03-26 04:22:57 +00:00
parent 6105ba7793
commit 96d5d27b17
4 changed files with 218 additions and 34 deletions
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tests/test_api.py
+1 -1
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@@ -5,7 +5,7 @@ from datetime import datetime
from unittest.mock import Mock, patch
from fastapi.testclient import TestClient
from SPARC.api import app, _analyzer, _jobs
from SPARC.api import app
from SPARC.types import CompanyAnalysisResult, BatchAnalysisResult