Merge pull request 'feat(precedents): איחוד cited_only↔missing_precedents — גזירת פסיקה-חסרה (#143, G2)' (#269) from worktree-cited-only-missing-precedent-union into main
All checks were successful
Build & Deploy / build-and-deploy (push) Successful in 2m10s
G12 Leak-Guard / leak-guard (push) Successful in 5s
Lint — undefined names / undefined-names (push) Successful in 10s

This commit was merged in pull request #269.
This commit is contained in:
2026-06-15 08:57:45 +00:00
5 changed files with 209 additions and 13 deletions

View File

@@ -134,6 +134,32 @@ def case_number_from_citation(citation: str) -> str:
return classify(citation).case_number_norm return classify(citation).case_number_norm
def _norm_designator(prefix: str) -> str:
"""Collapse a court/proceeding prefix to a comparison token.
Strips gershayim variants and whitespace so ``עע"מ`` / ``עע״מ`` / ``עעמ``
all map to the same token, while DISTINCT courts stay distinct.
"""
return re.sub(r"[\s\"״׳']", "", prefix or "")
def citation_dedup_key(citation: str) -> str:
"""Designator-aware dedup key for a citation, or ``''`` if no number.
Returns ``f"{designator}|{case_number_norm}"`` — e.g.
``בג"ץ 389/87`` → ``בגץ|389-87`` and ``ע"א 389/87`` → ``עא|389-87`` are
DISTINCT keys, even though both share docket ``389-87``. This is the safe
dedup key for ``missing_precedents`` (#143/#136): deduping on the bare number
alone (``case_number_from_citation``) would WRONGLY MERGE the same docket
across different courts (18 such collisions already exist in the corpus). A
prefix-less citation (bare נט-format / unknown court) yields ``|<number>``.
"""
cit = classify(citation)
if not cit.case_number_norm:
return ""
return f"{_norm_designator(cit.court_prefix)}|{cit.case_number_norm}"
def _split_filed(num_norm: str) -> tuple[str, str, str] | None: def _split_filed(num_norm: str) -> tuple[str, str, str] | None:
"""Split a normalized NNNNN-MM-YY number into (file, month, year). """Split a normalized NNNNN-MM-YY number into (file, month, year).

View File

@@ -14,7 +14,7 @@ import asyncpg
from pgvector.asyncpg import register_vector from pgvector.asyncpg import register_vector
from legal_mcp import config from legal_mcp import config
from legal_mcp.services import halacha_quality from legal_mcp.services import court_citation, halacha_quality
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
@@ -1571,6 +1571,19 @@ SCHEMA_V39_SQL = """
ALTER TABLE case_law ADD COLUMN IF NOT EXISTS parties TEXT DEFAULT ''; ALTER TABLE case_law ADD COLUMN IF NOT EXISTS parties TEXT DEFAULT '';
""" """
# V40 (#143): missing_precedents gains a designator-aware dedup key
# (citation_norm) and a provenance tag (discovery_source: manual | cited_only |
# digest | writer). No UNIQUE constraint — the corpus legitimately holds the same
# docket across different courts (e.g. בג"ץ 389/87 vs ע"א 389/87), so uniqueness
# is enforced designator-aware in the create path, not by a DB constraint that
# would over-merge distinct precedents.
SCHEMA_V40_SQL = """
ALTER TABLE missing_precedents ADD COLUMN IF NOT EXISTS citation_norm TEXT DEFAULT '';
ALTER TABLE missing_precedents ADD COLUMN IF NOT EXISTS discovery_source TEXT DEFAULT 'manual';
CREATE INDEX IF NOT EXISTS idx_missing_precedents_citation_norm
ON missing_precedents(citation_norm);
"""
# Stable, arbitrary key for the session-level advisory lock that serialises # Stable, arbitrary key for the session-level advisory lock that serialises
# schema DDL across processes. Every short-lived process (cron drains, services) # schema DDL across processes. Every short-lived process (cron drains, services)
@@ -1589,7 +1602,7 @@ async def _run_schema_migrations(pool: asyncpg.Pool) -> None:
await _apply_schema_ddl(conn) await _apply_schema_ddl(conn)
finally: finally:
await conn.execute("SELECT pg_advisory_unlock($1)", _MIGRATION_LOCK_KEY) await conn.execute("SELECT pg_advisory_unlock($1)", _MIGRATION_LOCK_KEY)
logger.info("Database schema initialized (v1-v38)") logger.info("Database schema initialized (v1-v40)")
async def _apply_schema_ddl(conn: asyncpg.Connection) -> None: async def _apply_schema_ddl(conn: asyncpg.Connection) -> None:
@@ -1633,6 +1646,7 @@ async def _apply_schema_ddl(conn: asyncpg.Connection) -> None:
await conn.execute(SCHEMA_V37_SQL) await conn.execute(SCHEMA_V37_SQL)
await conn.execute(SCHEMA_V38_SQL) await conn.execute(SCHEMA_V38_SQL)
await conn.execute(SCHEMA_V39_SQL) await conn.execute(SCHEMA_V39_SQL)
await conn.execute(SCHEMA_V40_SQL)
async def init_schema() -> None: async def init_schema() -> None:
@@ -7259,27 +7273,40 @@ async def create_missing_precedent(
legal_issue: str | None = None, legal_issue: str | None = None,
claim_quote: str | None = None, claim_quote: str | None = None,
notes: str | None = None, notes: str | None = None,
discovery_source: str = "manual",
linked_case_law_id: UUID | None = None,
) -> dict: ) -> dict:
"""Create a new missing-precedent row (status='open' by default).""" """Create a new missing-precedent row (status='open' by default).
``citation_norm`` is computed at write-time (designator-aware, #143) so
duplicate gaps for the same court+docket dedup correctly without merging the
same docket across different courts. ``discovery_source`` records how the gap
surfaced (manual | cited_only | digest | writer); ``linked_case_law_id`` may
be set up-front when the canonical identity is already known (a cited_only
stub awaiting its text) while ``status`` stays 'open' until the text lands.
"""
if not citation.strip(): if not citation.strip():
raise ValueError("citation is required") raise ValueError("citation is required")
if cited_by_party and cited_by_party not in ALLOWED_MP_PARTIES: if cited_by_party and cited_by_party not in ALLOWED_MP_PARTIES:
raise ValueError( raise ValueError(
f"cited_by_party must be one of {sorted(ALLOWED_MP_PARTIES)}" f"cited_by_party must be one of {sorted(ALLOWED_MP_PARTIES)}"
) )
citation_norm = court_citation.citation_dedup_key(citation)
pool = await get_pool() pool = await get_pool()
async with pool.acquire() as conn: async with pool.acquire() as conn:
row = await conn.fetchrow( row = await conn.fetchrow(
"""INSERT INTO missing_precedents ( """INSERT INTO missing_precedents (
citation, case_name, cited_in_case_id, cited_in_document_id, citation, case_name, cited_in_case_id, cited_in_document_id,
cited_by_party, cited_by_party_name, legal_topic, legal_issue, cited_by_party, cited_by_party_name, legal_topic, legal_issue,
claim_quote, notes claim_quote, notes, citation_norm, discovery_source,
linked_case_law_id
) )
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $12, $13)
RETURNING *""", RETURNING *""",
citation.strip(), case_name, cited_in_case_id, cited_in_document_id, citation.strip(), case_name, cited_in_case_id, cited_in_document_id,
cited_by_party, cited_by_party_name, legal_topic, legal_issue, cited_by_party, cited_by_party_name, legal_topic, legal_issue,
claim_quote, notes, claim_quote, notes, citation_norm, discovery_source,
linked_case_law_id,
) )
return _row_to_missing_precedent(row) return _row_to_missing_precedent(row)
@@ -7443,20 +7470,31 @@ async def find_missing_precedent_by_citation(
citation: str, citation: str,
case_id: UUID | None = None, case_id: UUID | None = None,
) -> dict | None: ) -> dict | None:
"""Look up an existing row by citation string (exact match) and optionally """Look up an existing gap by DESIGNATOR-AWARE normalized citation and
cited-in case_id. Used to deduplicate auto-creation by the researcher.""" optionally cited-in case_id. Used to deduplicate auto-creation (researcher,
cited_only derivation #143, digest derivation #136).
Matches on ``citation_norm`` (``court|docket``) so formatting variants of the
same court+docket collapse to one gap, while the same docket across different
courts stays distinct. Falls back to an exact ``citation`` string match when
the citation carries no parseable number (citation_norm is empty)."""
norm = court_citation.citation_dedup_key(citation)
pool = await get_pool() pool = await get_pool()
async with pool.acquire() as conn: async with pool.acquire() as conn:
if norm:
match_col, match_val = "citation_norm", norm
else:
match_col, match_val = "citation", citation.strip()
if case_id is not None: if case_id is not None:
row = await conn.fetchrow( row = await conn.fetchrow(
"SELECT * FROM missing_precedents " f"SELECT * FROM missing_precedents "
"WHERE citation = $1 AND cited_in_case_id = $2 LIMIT 1", f"WHERE {match_col} = $1 AND cited_in_case_id = $2 LIMIT 1",
citation.strip(), case_id, match_val, case_id,
) )
else: else:
row = await conn.fetchrow( row = await conn.fetchrow(
"SELECT * FROM missing_precedents WHERE citation = $1 LIMIT 1", f"SELECT * FROM missing_precedents WHERE {match_col} = $1 LIMIT 1",
citation.strip(), match_val,
) )
return _row_to_missing_precedent(row) if row else None return _row_to_missing_precedent(row) if row else None

View File

@@ -4,11 +4,29 @@ from __future__ import annotations
from legal_mcp.services.court_citation import ( from legal_mcp.services.court_citation import (
case_number_from_citation, case_number_from_citation,
citation_dedup_key,
classify, classify,
normalize_case_number, normalize_case_number,
) )
def test_dedup_key_is_designator_aware():
"""#143 — same docket across DIFFERENT courts must NOT collapse to one key
(deduping on the bare number would wrongly merge distinct precedents)."""
bagatz = citation_dedup_key('בג"ץ 389/87')
civil = citation_dedup_key('ע"א 389/87')
assert bagatz and civil and bagatz != civil, (bagatz, civil)
# ...while gershayim/format variants of the SAME court+docket DO collapse.
assert citation_dedup_key('עע"מ 9057/09') == citation_dedup_key("עע״מ 9057-09")
# committee proceeding-type is part of the key (ערר ≠ בל"מ).
assert citation_dedup_key("ערר 1192/18") != citation_dedup_key('בל"מ 1192/18')
def test_dedup_key_empty_without_number():
assert citation_dedup_key("") == ""
assert citation_dedup_key("פסק דין בלי מספר") == ""
def test_admin_filed_format_the_example(): def test_admin_filed_format_the_example():
"""The plan's example: עת"מ 46111-12-22 → admin, parsed into (46111,12,22).""" """The plan's example: עת"מ 46111-12-22 → admin, parsed into (46111,12,22)."""
c = classify('עת"מ 46111-12-22 יכין-אפק בע"מ נ\' הוועדה המחוזית') c = classify('עת"מ 46111-12-22 יכין-אפק בע"מ נ\' הוועדה המחוזית')

View File

@@ -34,6 +34,7 @@
| `legal-metadata-drain.config.cjs` | pm2/js | **תזמון כל 15 דק' של `drain_metadata_queue.py`** (cron `*/15 * * * *`, `METADATA_DRAIN_CRON` לעקיפה) — מונע סתימה של תור חילוץ-המטא ב-/precedents. דורש `GEMINI_API_KEY` ב-`~/.env`. התקנה: `pm2 start scripts/legal-metadata-drain.config.cjs && pm2 save`. | pm2 cron (host-side) | | `legal-metadata-drain.config.cjs` | pm2/js | **תזמון כל 15 דק' של `drain_metadata_queue.py`** (cron `*/15 * * * *`, `METADATA_DRAIN_CRON` לעקיפה) — מונע סתימה של תור חילוץ-המטא ב-/precedents. דורש `GEMINI_API_KEY` ב-`~/.env`. התקנה: `pm2 start scripts/legal-metadata-drain.config.cjs && pm2 save`. | pm2 cron (host-side) |
| `reconcile_metadata_status.py` | python | **נרמול `metadata_extraction_status` תקוע (G1)** — שורות עם ברירת-המחדל `'pending'` שאינן בצנרת-Gemini נערמות כ-backlog-רפאים שהדריינר (סורק `*_requested_at IS NOT NULL`) לעולם לא מנקה ומנפח את מונה "ממתין" ב-/operations. מיישב כל שורה למצב-אמת במקור: `internal_committee``completed` (מטא דטרמיניסטי, מחוץ ל-Gemini), `external_upload` מלא→`completed`, `external_upload` עם טקסט וחסר שם/תקציר→חותם `requested_at` (הדריינר יטפל), `cited_only` (אין טקסט)→`skipped`. **מכסה את שני התורים (#140):** אותו `cited_only→skipped` מוחל גם על `halacha_extraction_status` (תור-תאום, G2). אידמפוטנטי. תיקון-המקור הנלווה ב-`db.create_internal_committee_decision` + מסנן `EXTRACTION_ELIGIBLE_PREDICATE` ב-`list_pending_extraction_requests`. הרצה: `mcp-server/.venv/bin/python scripts/reconcile_metadata_status.py`. | חד-פעמי / re-runnable כהגנת-drift | | `reconcile_metadata_status.py` | python | **נרמול `metadata_extraction_status` תקוע (G1)** — שורות עם ברירת-המחדל `'pending'` שאינן בצנרת-Gemini נערמות כ-backlog-רפאים שהדריינר (סורק `*_requested_at IS NOT NULL`) לעולם לא מנקה ומנפח את מונה "ממתין" ב-/operations. מיישב כל שורה למצב-אמת במקור: `internal_committee``completed` (מטא דטרמיניסטי, מחוץ ל-Gemini), `external_upload` מלא→`completed`, `external_upload` עם טקסט וחסר שם/תקציר→חותם `requested_at` (הדריינר יטפל), `cited_only` (אין טקסט)→`skipped`. **מכסה את שני התורים (#140):** אותו `cited_only→skipped` מוחל גם על `halacha_extraction_status` (תור-תאום, G2). אידמפוטנטי. תיקון-המקור הנלווה ב-`db.create_internal_committee_decision` + מסנן `EXTRACTION_ELIGIBLE_PREDICATE` ב-`list_pending_extraction_requests`. הרצה: `mcp-server/.venv/bin/python scripts/reconcile_metadata_status.py`. | חד-פעמי / re-runnable כהגנת-drift |
| `reconcile_under_extracted_halacha.py` | python | **#144 — שחזור פסיקה תת-מחולצת** שהושלמה אך עם 0 הלכות למרות ≥3 מקטעי-נימוק (legal_analysis/ruling/conclusion) — חתימת ה-checkpoint-הריק שנוצרה לפני תיקון limit-notice ב-claude_session. מאפס checkpoints + `request_halacha_extraction` (נתיב קנוני, G2) → הדריינר מחלץ מחדש. שמרני (≥3 מקטעים → לא מטפל ב-remand לגיטימי חסר-הלכה; אפס אובדן כי 0 הלכות ממילא). מחריג cited_only. אידמפוטנטי, dry-run כברירת-מחדל / `--apply`. הרצה: `HOME=/home/chaim mcp-server/.venv/bin/python scripts/reconcile_under_extracted_halacha.py --apply`. | חד-פעמי / re-runnable | | `reconcile_under_extracted_halacha.py` | python | **#144 — שחזור פסיקה תת-מחולצת** שהושלמה אך עם 0 הלכות למרות ≥3 מקטעי-נימוק (legal_analysis/ruling/conclusion) — חתימת ה-checkpoint-הריק שנוצרה לפני תיקון limit-notice ב-claude_session. מאפס checkpoints + `request_halacha_extraction` (נתיב קנוני, G2) → הדריינר מחלץ מחדש. שמרני (≥3 מקטעים → לא מטפל ב-remand לגיטימי חסר-הלכה; אפס אובדן כי 0 הלכות ממילא). מחריג cited_only. אידמפוטנטי, dry-run כברירת-מחדל / `--apply`. הרצה: `HOME=/home/chaim mcp-server/.venv/bin/python scripts/reconcile_under_extracted_halacha.py --apply`. | חד-פעמי / re-runnable |
| `derive_missing_from_cited_only.py` | python | **#143 — איחוד cited_only↔missing_precedents (G2)**: גוזר רשומת `missing_precedents` 'open' לכל stub `cited_only` (פסיקה מצוטטת ללא טקסט), כך ש-31 ה-stubs מופיעים בדף "פסיקה חסרה" (היו היו חפיפה≈0). (1) backfill `citation_norm` (מפתח-dedup designator-aware — `court_citation.citation_dedup_key`) ל-291 הקיימים; (2) לכל stub → `create_missing_precedent(discovery_source='cited_only', linked_case_law_id=stub, notes=מצטטים)` עם dedup. `linked_case_law_id`=זהות-קנונית-ידועה, `status='open'` עד העלאת-טקסט (→ promote-in-place דרך ON CONFLICT). אידמפוטנטי, dry-run / `--apply`. הרצה: `HOME=/home/chaim mcp-server/.venv/bin/python scripts/derive_missing_from_cited_only.py --apply`. | חד-פעמי / re-runnable |
| `backfill_plans_registry.py` | python | **ייבוא מרשם-התכניות (V38) מקורפוס-ההחלטות** — סורק `data/cases/*/drafts/decision.md` + `data/training/cmp/*.md`, מאתר פסקאות-תוקף ("פורסמה למתן תוקף"), מחלץ רשומת-תכנית מובנית (`plans_extractor`, claude CLI מקומי) ועושה `upsert_plan(review_status='pending_review')` עם provenance. ה-SSOT לזהות+תוקף של תכנית, פעם-אחת במקום גזירה-מחדש מהשומות בכל תיק (G2). idempotent על plan_number מנורמל (G1/G3). `--dry-run` (ברירת-מחדל, כלום לא נכתב) / `--apply` / `--glob` (תת-קבוצה). אחרי הרצה: אישור-יו"ר ב-`plan_review`/תור-האישור (G10). הרץ: `mcp-server/.venv/bin/python scripts/backfill_plans_registry.py`. | ידני (חד-פעמי + לפי-צורך כשנוספות החלטות) | | `backfill_plans_registry.py` | python | **ייבוא מרשם-התכניות (V38) מקורפוס-ההחלטות** — סורק `data/cases/*/drafts/decision.md` + `data/training/cmp/*.md`, מאתר פסקאות-תוקף ("פורסמה למתן תוקף"), מחלץ רשומת-תכנית מובנית (`plans_extractor`, claude CLI מקומי) ועושה `upsert_plan(review_status='pending_review')` עם provenance. ה-SSOT לזהות+תוקף של תכנית, פעם-אחת במקום גזירה-מחדש מהשומות בכל תיק (G2). idempotent על plan_number מנורמל (G1/G3). `--dry-run` (ברירת-מחדל, כלום לא נכתב) / `--apply` / `--glob` (תת-קבוצה). אחרי הרצה: אישור-יו"ר ב-`plan_review`/תור-האישור (G10). הרץ: `mcp-server/.venv/bin/python scripts/backfill_plans_registry.py`. | ידני (חד-פעמי + לפי-צורך כשנוספות החלטות) |
| `backfill_precedent_citations.py` | python | **#145** — backfill ל-`citation_formatted` (מראה-מקום) ברשומות `case_law` ריקות, באמצעות `db.format_precedent_citation` הדטרמיניסטי (X1 §3 / INV-ID2 — שדה-תצוגה נגזר, לא מעוצב ע"י LLM ש-הפיל אותו, #145). שני מעברים לכל שורה: (1) **ללא-LLM** — הרכבה מהשדות השמורים (ממלא שורות-ועדה עם parties+docket+date); (2) **LLM** — אם (1) נמנע ויש full_text, מריץ את מחלץ-המטא (extract_and_apply) שמחלץ רכיבים (parties, citation_prefix) ואז מרכיב — זה ממלא את 171 פסקי-בתי-המשפט מהכותרת. שורות בלי רובריקה (אין צדדים) נשארות ריקות ומדווחות, לא מנוחשות (INV-AH). idempotent — רק שדה ריק (G3). `--apply` / `--limit N` / `--no-llm`. הרץ: `HOME=/home/chaim mcp-server/.venv/bin/python scripts/backfill_precedent_citations.py`. | ידני (חד-פעמי + לפי-צורך) | | `backfill_precedent_citations.py` | python | **#145** — backfill ל-`citation_formatted` (מראה-מקום) ברשומות `case_law` ריקות, באמצעות `db.format_precedent_citation` הדטרמיניסטי (X1 §3 / INV-ID2 — שדה-תצוגה נגזר, לא מעוצב ע"י LLM ש-הפיל אותו, #145). שני מעברים לכל שורה: (1) **ללא-LLM** — הרכבה מהשדות השמורים (ממלא שורות-ועדה עם parties+docket+date); (2) **LLM** — אם (1) נמנע ויש full_text, מריץ את מחלץ-המטא (extract_and_apply) שמחלץ רכיבים (parties, citation_prefix) ואז מרכיב — זה ממלא את 171 פסקי-בתי-המשפט מהכותרת. שורות בלי רובריקה (אין צדדים) נשארות ריקות ומדווחות, לא מנוחשות (INV-AH). idempotent — רק שדה ריק (G3). `--apply` / `--limit N` / `--no-llm`. הרץ: `HOME=/home/chaim mcp-server/.venv/bin/python scripts/backfill_precedent_citations.py`. | ידני (חד-פעמי + לפי-צורך) |
| `auto-sync-cases.sh` | bash | סנכרון תיקי ערר ל-Gitea — רץ כל דקה | `* * * * *` (cron) | | `auto-sync-cases.sh` | bash | סנכרון תיקי ערר ל-Gitea — רץ כל דקה | `* * * * *` (cron) |

View File

@@ -0,0 +1,113 @@
"""Derive missing_precedents 'open' gaps from cited_only stubs (#143, G2).
Two parallel systems described the same concept — "a cited precedent whose text
isn't in the corpus": the ``missing_precedents`` queue (the chair's acquisition
list) and ``case_law`` rows with ``source_kind='cited_only'`` (citation-only
stubs seeded by the X11 / corpus-graph). Overlap was ~0, so the 31 cited_only
stubs never surfaced on /missing-precedents.
This makes ``missing_precedents`` the single source-of-truth FOR THE QUEUE and
``cited_only`` a DERIVED discovery source (like digests feed the radar):
1. Backfill ``citation_norm`` (designator-aware dedup key) for every existing
missing_precedent — required before the dedup below can match.
2. For each cited_only stub, derive an 'open' missing_precedent (deduped on
citation_norm), with ``discovery_source='cited_only'``,
``linked_case_law_id`` = the stub (its canonical identity is known; status
stays 'open' until the text is uploaded → promote-in-place), and notes
listing the precedents that cite it.
Idempotent / re-runnable. Dry-run by default; ``--apply`` to write.
Host-only. Run:
HOME=/home/chaim mcp-server/.venv/bin/python scripts/derive_missing_from_cited_only.py [--apply]
"""
from __future__ import annotations
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 court_citation, db
async def _backfill_citation_norm(pool, apply: bool) -> int:
rows = await pool.fetch(
"SELECT id, citation FROM missing_precedents "
"WHERE COALESCE(citation_norm, '') = ''"
)
n = 0
for r in rows:
norm = court_citation.citation_dedup_key(r["citation"] or "")
if not norm:
continue
if apply:
await pool.execute(
"UPDATE missing_precedents SET citation_norm = $2 WHERE id = $1",
r["id"], norm,
)
n += 1
return n
async def _citing_precedents_note(pool, stub_id) -> str:
rows = await pool.fetch(
"""SELECT DISTINCT cl.case_number
FROM precedent_internal_citations p
JOIN case_law cl ON cl.id = p.source_case_law_id
WHERE p.cited_case_law_id = $1 AND COALESCE(cl.case_number,'') <> ''
ORDER BY cl.case_number LIMIT 8""",
stub_id,
)
citers = [r["case_number"] for r in rows]
base = "נגזר מ-cited_only (גרף-הציטוטים)"
if citers:
return f"{base}; מצוטט ע\"י: {', '.join(citers)}"
return base
async def main(apply: bool) -> int:
pool = await db.get_pool()
backfilled = await _backfill_citation_norm(pool, apply)
print(f"citation_norm backfill (existing rows){'' if apply else ' [dry]'}: {backfilled}")
stubs = await pool.fetch(
"SELECT id, case_number, case_name FROM case_law "
"WHERE source_kind = 'cited_only' ORDER BY case_number"
)
print(f"cited_only stubs: {len(stubs)}")
created = 0
skipped = 0
for s in stubs:
citation = (s["case_number"] or "").strip()
if not citation:
print(f" SKIP (no case_number) id={s['id']}")
continue
existing = await db.find_missing_precedent_by_citation(citation)
if existing:
skipped += 1
continue
norm = court_citation.citation_dedup_key(citation)
print(f" + {citation:<22} norm={norm!r} name={(s['case_name'] or '')[:24]!r}")
if apply:
note = await _citing_precedents_note(pool, s["id"])
await db.create_missing_precedent(
citation=citation,
case_name=s["case_name"] or None,
discovery_source="cited_only",
linked_case_law_id=s["id"],
notes=note,
)
created += 1
print(f"\n{'created' if apply else 'would create'}: {created} already-present (deduped): {skipped}")
if not apply:
print("(dry-run — pass --apply to write)")
return 0
if __name__ == "__main__":
sys.exit(asyncio.run(main("--apply" in sys.argv)))