fix(cases): בל"מ badge reads proceeding_type, not just appeal_subtype

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>

scripts/process_pending_blam.py

@@ -0,0 +1,53 @@
+"""One-shot: run pending metadata + halacha extraction on the 2 בל"מ
+decisions uploaded today (8126/24 + 8047/23). Bypasses MCP because the
+running MCP server has stale code; calls the services directly with the
+updated local copy.
+
+Run from /home/chaim/legal-ai with the venv:
+    POSTGRES_URL=... .venv/bin/python scripts/process_pending_blam.py
+"""
+
+import asyncio
+import os
+import sys
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "mcp-server", "src"))
+
+from legal_mcp.services import db
+from legal_mcp.services import precedent_library
+
+
+async def main():
+    # Queue metadata extraction too (ingest_internal_decision only queues
+    # halacha; metadata fills headnote/summary/key_quote and now also
+    # confirms proceeding_type via the new prompt field).
+    pool = await db.get_pool()
+    async with pool.acquire() as conn:
+        rows = await conn.fetch(
+            "SELECT id, case_number FROM case_law "
+            "WHERE case_number IN ('8126/24','8047/23') "
+            "  AND source_kind = 'internal_committee'"
+        )
+        for r in rows:
+            await conn.execute(
+                "UPDATE case_law SET metadata_extraction_requested_at = NOW() "
+                "WHERE id = $1",
+                r["id"],
+            )
+            print(f"queued metadata for {r['case_number']} ({r['id']})")
+
+    print("\n→ running metadata extraction…")
+    meta_result = await precedent_library.process_pending_extractions(
+        kind="metadata", limit=10,
+    )
+    print(meta_result)
+
+    print("\n→ running halacha extraction…")
+    halacha_result = await precedent_library.process_pending_extractions(
+        kind="halacha", limit=10,
+    )
+    print(halacha_result)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())