feat(precedents): split library into court rulings + appeals committee tables

- /api/precedent-library now accepts source_kind param (default external_upload)
- list_external_case_law returns chair_name/district fields
- LibraryListPanel renders two separate tables with appropriate columns
- internal_decisions migration: added queue_halachot param to defer extraction
- Fixed practice_area mapping from style_corpus (appeals_committee → proper enum)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

mcp-server/src/legal_mcp/services/db.py

@@ -1982,10 +1982,11 @@ async def list_external_case_law(
     search: str = "",
     limit: int = 100,
     offset: int = 0,
+    source_kind: str = "external_upload",
 ) -> list[dict]:
     """List chair-uploaded precedents, with simple filters."""
     pool = await get_pool()
-    conditions = ["source_kind = 'external_upload'"]
+    conditions = [f"source_kind = '{source_kind}'"]
     params: list = []
     idx = 1
     if practice_area:
@@ -2017,6 +2018,7 @@ async def list_external_case_law(
         SELECT id, case_number, case_name, court, date, practice_area,
                appeal_subtype, source_type, precedent_level, is_binding,
                summary, headnote, subject_tags, source_kind,
+               chair_name, district,
                extraction_status, halacha_extraction_status,
                metadata_extraction_requested_at,
                halacha_extraction_requested_at,

mcp-server/src/legal_mcp/services/internal_decisions.py

@@ -85,6 +85,7 @@ async def ingest_internal_decision(
     file_path: str | Path | None = None,
     text: str | None = None,
     document_id: UUID | None = None,
+    queue_halachot: bool = True,
 ) -> dict:
     """Ingest an appeals-committee decision into the internal corpus.
 
@@ -158,7 +159,8 @@ async def ingest_internal_decision(
 
         await db.set_case_law_extraction_status(case_law_id, "completed")
         await db.set_case_law_halacha_status(case_law_id, "pending")
-        await db.request_halacha_extraction(case_law_id)
+        if queue_halachot:
+            await db.request_halacha_extraction(case_law_id)
 
         return {
             "status": "completed",
@@ -173,7 +175,7 @@ async def ingest_internal_decision(
         raise
 
 
-async def migrate_from_style_corpus(dry_run: bool = False) -> dict:
+async def migrate_from_style_corpus(dry_run: bool = False, queue_halachot: bool = True) -> dict:
     """Re-index all style_corpus entries as searchable internal committee decisions.
 
     Does NOT delete style_corpus rows — they remain for style analysis.
@@ -211,16 +213,27 @@ async def migrate_from_style_corpus(dry_run: bool = False) -> dict:
 
         try:
             subject_tags = list(row["subject_categories"] or [])
+            raw_pa = row["practice_area"] or ""
+            subtype = row["appeal_subtype"] or ""
+            # style_corpus stores 'appeals_committee' (source_type) instead of practice_area
+            _subtype_to_pa = {
+                "building_permit": "rishuy_uvniya",
+                "betterment_levy": "betterment_levy",
+                "compensation_197": "compensation_197",
+            }
+            practice_area = raw_pa if raw_pa in ("rishuy_uvniya", "betterment_levy", "compensation_197") \
+                else _subtype_to_pa.get(subtype, "")
             await ingest_internal_decision(
                 case_number=case_number,
                 court="ועדת הערר לתכנון ובנייה — מחוז ירושלים",
                 decision_date=row["decision_date"],
                 chair_name="דפנה תמיר",
                 district="ירושלים",
-                practice_area=row["practice_area"] or "",
-                appeal_subtype=row["appeal_subtype"] or "",
+                practice_area=practice_area,
+                appeal_subtype=subtype,
                 subject_tags=subject_tags,
                 text=row["full_text"],
+                queue_halachot=queue_halachot,
             )
             results["ingested"] += 1
             logger.info("Migrated style_corpus entry: %s", case_number)