spb/ora-ka Public
Ora-Ka — cinq agrégateurs Ka, une barre de recherche hybride (exact + sémantique)
Python 80%
TypeScript 12.9%
CSS 6.8%
1# -----------------------------------------------------------------------------2# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)3# Auteur : Simon-Pierre Boucher — contact@spboucher.ai4# db.py : persistance SQLite — upsert avec détection de changements,5# cycle de vie avec délai de grâce (2 syncs), détection de dérive,6# historique de prix, cache des pages détail.7# -----------------------------------------------------------------------------8from __future__ import annotations910import json11import sqlite312import statistics13import time14from pathlib import Path1516from .schema import PropertyListing1718DB_PATH = Path(__file__).resolve().parent.parent / "data" / "immoka.db"1920# Nombre d'exécutions consécutives où une propriété doit être absente de la21# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).22MISS_GRACE = 22324# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique25# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.26DRIFT_RATIO = 0.2527DRIFT_MIN_BASE = 828DRIFT_HISTORY = 52930_SCHEMA = """31CREATE TABLE IF NOT EXISTS listings (32 uid TEXT PRIMARY KEY,33 source TEXT NOT NULL,34 external_id TEXT NOT NULL,35 url TEXT,36 title TEXT,37 address TEXT,38 sector TEXT,39 city TEXT,40 region TEXT,41 property_type TEXT,42 price REAL,43 price_label TEXT,44 bedrooms INTEGER,45 bathrooms INTEGER,46 powder_rooms INTEGER,47 area_sqft REAL,48 lot_sqft REAL,49 year_built INTEGER,50 mls TEXT,51 status TEXT DEFAULT 'a-vendre',52 broker_name TEXT,53 broker_phone TEXT,54 agency TEXT,55 description TEXT,56 features TEXT, -- JSON (liste de textes source)57 details TEXT, -- JSON (champs structurés)58 images TEXT, -- JSON59 lat REAL,60 lng REAL,61 geocode_failed INTEGER DEFAULT 0,62 content_hash TEXT,63 first_seen REAL,64 last_seen REAL,65 updated_at REAL,66 miss_count INTEGER DEFAULT 0,67 active INTEGER DEFAULT 1,68 dup_hidden INTEGER DEFAULT 0 -- 1 = doublon de sous-agence masqué (dédup Centris)69);70CREATE INDEX IF NOT EXISTS idx_listings_source ON listings(source);71CREATE INDEX IF NOT EXISTS idx_listings_city ON listings(city);72CREATE INDEX IF NOT EXISTS idx_listings_type ON listings(property_type);73CREATE INDEX IF NOT EXISTS idx_listings_active ON listings(active);74CREATE INDEX IF NOT EXISTS idx_listings_extid ON listings(external_id);7576CREATE TABLE IF NOT EXISTS sync_log (77 id INTEGER PRIMARY KEY AUTOINCREMENT,78 source TEXT,79 ts REAL,80 found INTEGER,81 added INTEGER,82 updated INTEGER,83 removed INTEGER,84 ok INTEGER,85 message TEXT,86 stats TEXT -- JSON : taux de champs null, missed, alerte…87);8889CREATE TABLE IF NOT EXISTS detail_cache (90 source TEXT NOT NULL,91 external_id TEXT NOT NULL,92 key TEXT, -- hash du contenu « liste » de l'annonce93 payload TEXT, -- JSON opaque propre au connecteur94 fetched_at REAL,95 PRIMARY KEY (source, external_id)96);9798CREATE TABLE IF NOT EXISTS price_log (99 uid TEXT NOT NULL,100 ts REAL NOT NULL,101 price REAL -- prix observé (baisses/hausses de prix demandé)102);103CREATE INDEX IF NOT EXISTS idx_price_log_uid ON price_log(uid);104105CREATE TABLE IF NOT EXISTS geocode_cache (106 address TEXT PRIMARY KEY,107 lat REAL,108 lng REAL,109 provider TEXT,110 failed INTEGER DEFAULT 0,111 ts REAL112);113114CREATE TABLE IF NOT EXISTS poi_cache (115 coord_key TEXT PRIMARY KEY, -- "lat,lng" arrondi à 4 décimales (~11 m)116 lat REAL,117 lng REAL,118 pois TEXT, -- JSON : [{cat, name, dist_m}] (plus proche/catégorie)119 ts REAL120);121"""122123124_SCHEMA_READY = False # le schéma/migration ne s'exécute qu'UNE fois par process125126127def _init_schema(con: sqlite3.Connection) -> None:128 """Création de schéma + migration — coûteuse (write-lock). À faire une seule129 fois par process : l'exécuter à chaque connexion sérialisait les requêtes du130 web sur un verrou d'écriture (deadlock/starvation sous charge)."""131 con.executescript(_SCHEMA)132 cols = {r["name"] for r in con.execute("PRAGMA table_info(listings)")}133 if "agency" not in cols:134 con.execute("ALTER TABLE listings ADD COLUMN agency TEXT")135 if "dup_hidden" not in cols:136 con.execute("ALTER TABLE listings ADD COLUMN dup_hidden INTEGER DEFAULT 0")137 if "dauid" not in cols: # aire de diffusion 2021 (stats de quartier)138 con.execute("ALTER TABLE listings ADD COLUMN dauid TEXT")139 if "vraiprix" not in cols: # estimation Vrai-Prix (JSON) + lien analyse140 con.execute("ALTER TABLE listings ADD COLUMN vraiprix TEXT")141 con.execute("CREATE INDEX IF NOT EXISTS idx_listings_duphidden ON listings(dup_hidden)")142 con.commit()143144145def refresh_dedup(con: sqlite3.Connection) -> int:146 """Pré-calcule la déduplication de la famille sous-agences (`*_ag_*`) dans la147 colonne `dup_hidden`, pour que la lecture soit instantanée (« AND dup_hidden=0 »)148 au lieu d'un sous-select corrélé par ligne (300 s sur 75 k lignes).149150 Règle (identique à l'ancienne clause) : une fiche de sous-agence est masquée151 si une fiche de plus haute priorité — même n° Centris (external_id), active —152 existe : le flux central/agence principale d'abord, sinon la sous-agence au153 plus petit uid. Les fiches non sous-agence ne sont jamais masquées.154 Retourne le nombre de fiches masquées."""155 AG = "source LIKE '%\\_ag\\_%' ESCAPE '\\'"156 NOTAG = "source NOT LIKE '%\\_ag\\_%' ESCAPE '\\'"157 con.execute("UPDATE listings SET dup_hidden=0")158 # 1) masquer les sous-agences dont le n° Centris est porté par une fiche159 # canonique (non sous-agence) active — semi-jointure, rapide.160 con.execute(161 f"UPDATE listings SET dup_hidden=1 WHERE active=1 AND {AG}"162 f" AND external_id IN (SELECT external_id FROM listings"163 f" WHERE active=1 AND {NOTAG})")164 # 2) parmi les sous-agences restantes (sans canonique), ne garder que le plus165 # petit uid par n° Centris.166 con.execute(167 f"UPDATE listings SET dup_hidden=1 WHERE active=1 AND {AG} AND dup_hidden=0"168 f" AND uid > (SELECT MIN(d.uid) FROM listings d WHERE d.active=1"169 f" AND d.external_id=listings.external_id AND d.{AG} AND d.dup_hidden=0)")170 n = con.execute("SELECT COUNT(*) c FROM listings WHERE dup_hidden=1").fetchone()["c"]171 con.commit()172 return n173174175def connect() -> sqlite3.Connection:176 global _SCHEMA_READY177 DB_PATH.parent.mkdir(parents=True, exist_ok=True)178 con = sqlite3.connect(DB_PATH, timeout=60)179 con.row_factory = sqlite3.Row180 # WAL + busy_timeout : accès concurrents (watcher + web) sans « db is locked ».181 con.execute("PRAGMA journal_mode=WAL")182 # 120 s : couvre les longues transactions (refresh_dedup ~70 s) sans que les183 # autres écrivains (géocodage, vraiprix) ne lèvent « database is locked ».184 con.execute("PRAGMA busy_timeout=120000")185 con.execute("PRAGMA synchronous=NORMAL")186 if not _SCHEMA_READY:187 _init_schema(con)188 _SCHEMA_READY = True189 return con190191192# ---------------------------------------------------------------------------193# Synchronisation d'une source194# ---------------------------------------------------------------------------195196def _drift_alert(con: sqlite3.Connection, source: str, found: int,197 null_price_rate: float) -> str | None:198 """Détecte une dérive du connecteur (chute du volume ou des prix extraits)."""199 hist = con.execute(200 "SELECT found, stats FROM sync_log WHERE source=? AND ok=1"201 " ORDER BY ts DESC LIMIT ?", (source, DRIFT_HISTORY)).fetchall()202 if len(hist) < 3:203 return None204 med_found = statistics.median(r["found"] for r in hist)205 if med_found >= DRIFT_MIN_BASE and found <= DRIFT_RATIO * med_found:206 return (f"dérive: {found} propriété(s) trouvée(s) contre une médiane de "207 f"{med_found:.0f} — retraits suspendus, vérifier le connecteur")208 if found >= DRIFT_MIN_BASE and null_price_rate >= 0.8:209 rates = []210 for r in hist:211 try:212 rates.append(json.loads(r["stats"] or "{}")["null_price_rate"])213 except (KeyError, ValueError, TypeError):214 continue215 if rates and statistics.median(rates) <= 0.3:216 return (f"dérive: {null_price_rate:.0%} des propriétés sans prix "217 f"(habituellement {statistics.median(rates):.0%}) — "218 "le format de la source a probablement changé")219 return None220221222def sync_source(con: sqlite3.Connection, source: str,223 listings: list[PropertyListing]) -> dict:224 """Synchronise les propriétés d'une source.225226 - nouvelle propriété -> insertion227 - propriété modifiée -> mise à jour (comparaison de content_hash)228 - propriété disparue -> miss_count += 1, puis active=0 après MISS_GRACE229 exécutions consécutives (vendue ou retirée)230 - dérive détectée -> alerte consignée, retraits suspendus231 """232 now = time.time()233 added = updated = 0234 seen_uids = set()235236 n = len(listings)237 null_price = sum(1 for l in listings if l.price is None)238 null_addr = sum(1 for l in listings if not l.address)239 null_price_rate = round(null_price / n, 3) if n else 0.0240241 alert = _drift_alert(con, source, n, null_price_rate)242243 for lst in listings:244 seen_uids.add(lst.uid)245 h = lst.content_hash()246 row = con.execute("SELECT content_hash, price FROM listings WHERE uid=?",247 (lst.uid,)).fetchone()248 params = dict(249 uid=lst.uid, source=lst.source, external_id=lst.external_id,250 url=lst.url, title=lst.title, address=lst.address,251 sector=lst.sector, city=lst.city, region=lst.region,252 property_type=lst.property_type, price=lst.price,253 price_label=lst.price_label, bedrooms=lst.bedrooms,254 bathrooms=lst.bathrooms, powder_rooms=lst.powder_rooms,255 area_sqft=lst.area_sqft, lot_sqft=lst.lot_sqft,256 year_built=lst.year_built, mls=lst.mls, status=lst.status,257 broker_name=lst.broker_name, broker_phone=lst.broker_phone,258 agency=lst.agency,259 description=lst.description,260 features=json.dumps(lst.features, ensure_ascii=False),261 details=json.dumps(lst.details, ensure_ascii=False),262 images=json.dumps(lst.images, ensure_ascii=False),263 lat=lst.lat, lng=lst.lng, content_hash=h, now=now,264 )265 if row is None:266 con.execute(267 """INSERT INTO listings (uid, source, external_id, url, title,268 address, sector, city, region, property_type, price,269 price_label, bedrooms, bathrooms, powder_rooms, area_sqft,270 lot_sqft, year_built, mls, status, broker_name, broker_phone,271 agency, description, features, details, images, lat, lng,272 content_hash, first_seen, last_seen, updated_at,273 miss_count, active)274 VALUES (:uid,:source,:external_id,:url,:title,:address,275 :sector,:city,:region,:property_type,:price,:price_label,276 :bedrooms,:bathrooms,:powder_rooms,:area_sqft,:lot_sqft,277 :year_built,:mls,:status,:broker_name,:broker_phone,278 :agency,:description,:features,:details,:images,:lat,:lng,279 :content_hash,:now,:now,:now,0,1)""", params)280 if lst.price is not None:281 con.execute("INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)",282 (lst.uid, now, lst.price))283 added += 1284 elif row["content_hash"] != h:285 # COALESCE : ne jamais écraser des coordonnées géocodées par null286 con.execute(287 """UPDATE listings SET url=:url, title=:title,288 address=:address, sector=:sector, city=:city, region=:region,289 property_type=:property_type, price=:price,290 price_label=:price_label, bedrooms=:bedrooms,291 bathrooms=:bathrooms, powder_rooms=:powder_rooms,292 area_sqft=:area_sqft, lot_sqft=:lot_sqft,293 year_built=:year_built, mls=:mls, status=:status,294 broker_name=:broker_name, broker_phone=:broker_phone,295 agency=:agency, description=:description, features=:features,296 details=:details, images=:images,297 lat=COALESCE(:lat, lat), lng=COALESCE(:lng, lng),298 content_hash=:content_hash, last_seen=:now,299 updated_at=:now, miss_count=0, active=1300 WHERE uid=:uid""", params)301 if lst.price != row["price"]: # baisse/hausse de prix -> historique302 con.execute("INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)",303 (lst.uid, now, lst.price))304 updated += 1305 else:306 con.execute(307 "UPDATE listings SET last_seen=?, miss_count=0, active=1 WHERE uid=?",308 (now, lst.uid))309310 # Propriétés de cette source qui n'apparaissent plus : délai de grâce,311 # puis désactivation (vendue/retirée). Suspendu si dérive détectée.312 removed = missed = 0313 if not alert:314 for r in con.execute(315 "SELECT uid, miss_count FROM listings WHERE source=? AND active=1",316 (source,)).fetchall():317 if r["uid"] in seen_uids:318 continue319 missed += 1320 if r["miss_count"] + 1 >= MISS_GRACE:321 con.execute(322 "UPDATE listings SET active=0, miss_count=?, updated_at=?"323 " WHERE uid=?", (r["miss_count"] + 1, now, r["uid"]))324 removed += 1325 else:326 con.execute("UPDATE listings SET miss_count=miss_count+1 WHERE uid=?",327 (r["uid"],))328329 stats = {330 "null_price_rate": null_price_rate,331 "null_address_rate": round(null_addr / n, 3) if n else 0.0,332 "missed": missed,333 }334 if alert:335 stats["alert"] = alert336 con.execute(337 "INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,"338 " message, stats) VALUES (?,?,?,?,?,?,1,?,?)",339 (source, now, n, added, updated, removed, alert or "ok",340 json.dumps(stats, ensure_ascii=False)))341 con.commit()342 out = {"source": source, "found": n, "added": added,343 "updated": updated, "removed": removed}344 if alert:345 out["alert"] = alert346 return out347348349def log_failure(con: sqlite3.Connection, source: str, message: str) -> None:350 con.execute(351 "INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)"352 " VALUES (?,?,0,0,0,0,0,?)", (source, time.time(), message))353 con.commit()354355356# ---------------------------------------------------------------------------357# Cache des pages détail (« détail si nouveau/modifié »)358# ---------------------------------------------------------------------------359360def get_cached_detail(con: sqlite3.Connection, source: str,361 external_id: str, key: str) -> dict | None:362 """Payload détail mis en cache si la clé (hash liste) n'a pas changé."""363 row = con.execute(364 "SELECT key, payload FROM detail_cache WHERE source=? AND external_id=?",365 (source, external_id)).fetchone()366 if row and row["key"] == key and row["payload"]:367 try:368 return json.loads(row["payload"])369 except ValueError:370 return None371 return None372373374def put_cached_detail(con: sqlite3.Connection, source: str,375 external_id: str, key: str, payload: dict) -> None:376 con.execute(377 "INSERT INTO detail_cache (source, external_id, key, payload, fetched_at)"378 " VALUES (?,?,?,?,?)"379 " ON CONFLICT(source, external_id) DO UPDATE SET"380 " key=excluded.key, payload=excluded.payload, fetched_at=excluded.fetched_at",381 (source, external_id, key, json.dumps(payload, ensure_ascii=False),382 time.time()))383 con.commit()384