Files
vreau-digital/services/seap-scraper/sql/040_curteacont_uat_pattern_match.sql
T
Claude VM a6c03a091e initial: split from gov-agreg — vreau.digital standalone platform
Moved from gov-agreg/src/pages/achizitii/* to root (drop prefix).
- 22 pages migrated, 127 files total
- All internal links: /achizitii/X → /X (176 occurrences fixed)
- AchizitiiLayout subnav rewritten: /X paths, top-right link to vreaudigital.ro hub
- BaseLayout new (vreau.digital branding, OG tags, site URL)
- astro.config.mjs: site https://vreau.digital, server output (was static)
- docker-compose: port 5096 (vreaudigital is 5095), container vreau-digital
- deploy.sh: paths /opt/vreau-digital, log /var/log/vreau-digital-deploy.log

Backend shared with gov-agreg:
- PostgreSQL satra (same schemas: seap, firms, anaf, anre, ...)
- Photon, Martin tiles
- Infisical /vreaudigital path (DATABASE_URL etc. shared)

build: PASS (npx astro check 0 errors, npm run build 5s vite + 10s server)
2026-05-13 00:10:32 +03:00

106 lines
4.0 KiB
SQL

-- 040_curteacont_uat_pattern_match.sql
-- High-precision CUI match for curteacont.rapoarte using UAT-pattern + strip-parens.
--
-- Curtea de Conturi uses specific abbreviations for territorial units:
-- UATC X → COMUNA X
-- UATJ X → JUDETUL X
-- UATO X → ORASUL X / ORAS X
-- UATM X → MUNICIPIUL X
-- UAT SECTOR N (... BUCURESTI) → SECTOR N
--
-- ONRC stores these with parenthetical suffix indicating the operating body:
-- "JUDETUL MARAMURES (CONSILIUL JUDETEAN MARAMURES)"
-- "Comuna Surduc (Primaria Comunei Surduc)"
-- "SECTOR 3 (PRIMARIA SECTOR 3 BUCURESTI)"
--
-- Strip ONRC " (...)" suffix and compare normalized → exact match.
--
-- Idempotent: UPDATEs only WHERE audited_entity_cui IS NULL.
\timing on
SET pg_trgm.similarity_threshold = 0.78; -- safety reset
-- Build a small prefiltered firms table once (UATs only ~10K rows)
DROP TABLE IF EXISTS tmp_firms_uat;
CREATE TEMP TABLE tmp_firms_uat AS
SELECT cui, name,
firms.normalize_company_name(regexp_replace(name, '\s*\(.*$', '')) AS norm_stripped
FROM firms.entities
WHERE name ~* '^(COMUNA |JUDETUL |ORAS |ORASUL |MUNICIPIUL |SECTOR(UL)? [1-6])';
CREATE INDEX ON tmp_firms_uat (norm_stripped);
ANALYZE tmp_firms_uat;
-- Compute expected ONRC-form name for each cdc audited entity
DROP TABLE IF EXISTS tmp_cdc_uat;
CREATE TEMP TABLE tmp_cdc_uat AS
SELECT slug_id, audited_entity_name,
firms.normalize_company_name(
CASE
WHEN audited_entity_name ~* '^UATC '
THEN 'COMUNA ' || regexp_replace(audited_entity_name, '^UATC\s+', '', 'i')
WHEN audited_entity_name ~* '^UATJ '
THEN 'JUDETUL ' || regexp_replace(audited_entity_name, '^UATJ\s+', '', 'i')
WHEN audited_entity_name ~* '^UATO '
THEN 'ORAS ' || regexp_replace(audited_entity_name, '^UATO\s+', '', 'i')
WHEN audited_entity_name ~* '^UATM '
THEN 'MUNICIPIUL ' || regexp_replace(audited_entity_name, '^UATM\s+', '', 'i')
WHEN audited_entity_name ~* '^UAT SECTOR(UL)? [1-6]'
THEN 'SECTOR ' || substring(audited_entity_name FROM '^UAT SECTOR(?:UL)? ([1-6])')
ELSE NULL
END
) AS expected_norm
FROM curteacont.rapoarte
WHERE audited_entity_cui IS NULL
AND audited_entity_name IS NOT NULL
AND audited_entity_name ~* '^(UATC |UATJ |UATO |UATM |UAT SECTOR)';
-- Stats before update
SELECT count(*) AS unmapped_uat_rows FROM tmp_cdc_uat WHERE expected_norm IS NOT NULL;
-- Apply the match
WITH candidates AS (
SELECT DISTINCT ON (c.slug_id) c.slug_id, f.cui
FROM tmp_cdc_uat c
JOIN tmp_firms_uat f ON f.norm_stripped = c.expected_norm
ORDER BY c.slug_id, f.cui
)
UPDATE curteacont.rapoarte r
SET audited_entity_cui = c.cui,
parsed_at = COALESCE(r.parsed_at, now())
FROM candidates c
WHERE r.slug_id = c.slug_id AND r.audited_entity_cui IS NULL;
-- Also try a fallback exact-match path for non-UAT names (ministries etc.)
-- Match audited_entity_name directly to firms.entities.name with strip-parens.
WITH cdc_non_uat AS (
SELECT slug_id, audited_entity_name,
firms.normalize_company_name(audited_entity_name) AS norm
FROM curteacont.rapoarte
WHERE audited_entity_cui IS NULL
AND audited_entity_name IS NOT NULL
AND audited_entity_name !~* '^(UATC |UATJ |UATO |UATM |UAT SECTOR)'
),
candidates2 AS (
SELECT DISTINCT ON (c.slug_id) c.slug_id, e.cui
FROM cdc_non_uat c
JOIN firms.entities e
ON firms.normalize_company_name(regexp_replace(e.name, '\s*\(.*$', '')) = c.norm
ORDER BY c.slug_id, e.cui
)
UPDATE curteacont.rapoarte r
SET audited_entity_cui = c.cui,
parsed_at = COALESCE(r.parsed_at, now())
FROM candidates2 c
WHERE r.slug_id = c.slug_id AND r.audited_entity_cui IS NULL;
-- Final stats
SELECT count(*) AS total,
count(audited_entity_cui) AS with_cui,
round(100.0 * count(audited_entity_cui) / count(*), 1) AS pct
FROM curteacont.rapoarte;
-- Refresh the per-audited rollup if exists (no MV defined yet for curteacont but
-- the autoritate profile pulls live; no refresh needed)
DROP TABLE tmp_firms_uat, tmp_cdc_uat;