Chaim
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After the proceeding_type field landed, users started flipping cases to בל"מ via the edit dialog. But the case-header badge + cases-table filter were still gated on isBlamSubtype(appeal_subtype), so the badge didn't appear when only the proceeding_type changed. Now the badge shows when either proceeding_type === 'בל"מ' OR appeal_subtype is an extension_request_* variant — the legacy path stays so existing rows that never got a proceeding_type still render correctly. Also regen types.ts from prod (proceeding_type now in OpenAPI schema) and register the one-shot process_pending_blam.py script. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
"""One-shot: run pending metadata + halacha extraction on the 2 בל"מ
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decisions uploaded today (8126/24 + 8047/23). Bypasses MCP because the
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running MCP server has stale code; calls the services directly with the
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updated local copy.
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Run from /home/chaim/legal-ai with the venv:
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POSTGRES_URL=... .venv/bin/python scripts/process_pending_blam.py
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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 db
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from legal_mcp.services import precedent_library
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async def main():
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# Queue metadata extraction too (ingest_internal_decision only queues
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# halacha; metadata fills headnote/summary/key_quote and now also
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# confirms proceeding_type via the new prompt field).
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pool = await db.get_pool()
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async with pool.acquire() as conn:
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rows = await conn.fetch(
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"SELECT id, case_number FROM case_law "
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"WHERE case_number IN ('8126/24','8047/23') "
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" AND source_kind = 'internal_committee'"
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)
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for r in rows:
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await conn.execute(
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"UPDATE case_law SET metadata_extraction_requested_at = NOW() "
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"WHERE id = $1",
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r["id"],
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)
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print(f"queued metadata for {r['case_number']} ({r['id']})")
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print("\n→ running metadata extraction…")
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meta_result = await precedent_library.process_pending_extractions(
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kind="metadata", limit=10,
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)
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print(meta_result)
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print("\n→ running halacha extraction…")
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halacha_result = await precedent_library.process_pending_extractions(
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kind="halacha", limit=10,
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)
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print(halacha_result)
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if __name__ == "__main__":
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asyncio.run(main())
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