Chaim
f4f110f0d1
- scripts/drain_court_fetch.py: drives orchestrator.drain_pending (host-only; no-op when queue empty). Mirrors drain_halacha_queue.py. - scripts/legal-court-fetch-drain.config.cjs: pm2 cron (hourly :17, one-shot), COURT_FETCH_DRAIN_CRON override. - fix: orchestrator default service URL 127.0.0.1 → 10.0.1.1 (the service binds the docker0 gateway; the host can't reach it on loopback). Found live — the first drain failed "connection refused" until corrected. - SCRIPTS.md entries. Validated end-to-end in PRODUCTION on a real digest: עת"מ 43830-12-24 (החברה להגנת הטבע) fetched from נט המשפט → case_law (79 chunks, source_url), digest relinked (INV-DIG3 closed), halacha queued pending_review. job=done. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
"""Drain the X13 court-verdict fetch queue (jobs the digest trigger fills).
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When a digest points at a court ruling not yet in the corpus, the digest
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trigger enqueues a ``court_fetch_jobs`` row (status=pending). This script
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drains those: for each pending/failed job it runs the full Tier-0/Tier-1 fetch
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(via the host browser service) + the canonical ingest, then links the verdict
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back to its source digest. Serial with a cooldown (INV-CF4); failures are
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recorded and retried until they escalate to ``manual`` (INV-CF3).
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Host-only: ingest drives halacha extraction via the local ``claude`` CLI (same
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constraint as ``drain_halacha_queue.py``). A no-op (fast) when the queue is
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empty. Scheduled hourly by ``legal-court-fetch-drain`` (pm2 cron); also runnable
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by hand:
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mcp-server/.venv/bin/python scripts/drain_court_fetch.py [limit]
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"""
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import asyncio
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "mcp-server", "src"))
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from legal_mcp.services import court_fetch_orchestrator as orch
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async def main() -> int:
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limit = int(sys.argv[1]) if len(sys.argv) > 1 else 5
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res = await orch.drain_pending(limit=limit)
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print(f"===court-fetch drain=== processed={res.get('processed', 0)} "
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f"ingested={res.get('done', 0)}", flush=True)
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for r in res.get("results", []):
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line = f" [{r.get('status')}] {r.get('citation', '')}"
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if r.get("error"):
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line += f" — {r['error'][:120]}"
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if r.get("case_law_id"):
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line += f" → case_law {r['case_law_id']}"
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print(line, flush=True)
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return 0
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if __name__ == "__main__":
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sys.exit(asyncio.run(main()))
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