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feat(retrieval): require practice_area only for internal/cases; enable searchable filter + health visibility (GAP-13, FU-2a)

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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Chaim
2026-05-30 20:57:27 +00:00
parent 6dbcb7e798
commit 358d82e90e
3 changed files with 23 additions and 4 deletions
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14
mcp-server/src/legal_mcp/services/db.py
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@@ -2735,8 +2735,12 @@ def _compute_searchable(row: dict, has_embedded_chunk: bool) -> bool:
return False
if not (row.get("case_name") or "").strip():
return False
if not (row.get("practice_area") or "").strip():
return False
# practice_area is required only for identifier-keyed corpora (internal
# committee decisions, active cases). External precedents (e.g. בג"ץ) are
# legitimately cross-domain and may have no single practice_area.
if (row.get("source_kind") or "") != "external_upload":
if not (row.get("practice_area") or "").strip():
return False
if not (row.get("source_kind") or "").strip():
return False
tags = row.get("subject_tags") or []
@@ -3272,8 +3276,9 @@ async def search_precedent_library_semantic(
halacha_filters = [
"h.review_status IN ('approved', 'published')",
f"cl.source_kind = '{source_kind}'",
"cl.searchable = true",
]
chunk_filters = [f"cl.source_kind = '{source_kind}'"]
chunk_filters = [f"cl.source_kind = '{source_kind}'", "cl.searchable = true"]
h_params: list = [query_embedding, limit]
c_params: list = [query_embedding, limit]
h_idx = 3
@@ -3508,8 +3513,9 @@ async def search_precedent_library_lexical(
halacha_filters = [
"h.review_status IN ('approved', 'published')",
f"cl.source_kind = '{source_kind}'",
"cl.searchable = true",
]
chunk_filters = [f"cl.source_kind = '{source_kind}'"]
chunk_filters = [f"cl.source_kind = '{source_kind}'", "cl.searchable = true"]
# $1 = query, $2 = limit. Filters append starting at $3.
h_params: list = [query, limit]
c_params: list = [query, limit]

4
mcp-server/src/legal_mcp/services/metrics.py
View File

@@ -123,6 +123,9 @@ async def get_dashboard() -> dict:
total_corpus = await conn.fetchval("SELECT COUNT(*) FROM style_corpus")
total_patterns = await conn.fetchval("SELECT COUNT(*) FROM style_patterns")
total_case_law = await conn.fetchval("SELECT COUNT(*) FROM case_law")
non_searchable_case_law = await conn.fetchval(
"SELECT COUNT(*) FROM case_law WHERE NOT searchable"
)
# QA summary
qa_total = await conn.fetchval("SELECT COUNT(DISTINCT case_id) FROM qa_results")
@@ -154,6 +157,7 @@ async def get_dashboard() -> dict:
"style_corpus": total_corpus,
"style_patterns": total_patterns,
"case_law_entries": total_case_law,
"non_searchable_case_law": non_searchable_case_law,
},
"cases_by_status": cases_by_status,
"qa": {