Ora-Ka v2 — moteur hybride, SSO KA ID, README complet (badges, métriques, captures) · 8a7eca3 · ora-ka

Ora-Ka v2 — moteur hybride, SSO KA ID, README complet (badges, métriques, captures)

- Landing « famille Ka × verre » : splash Groupe KA, ticker, une barre
- /api/search : score unifié exact ∪ sémantique (cosinus + couverture-jetons
  + phrase + affinité d'univers), coupure dynamique, diversité garantie
- Index sémantique text-embedding-3-small 256d float16, hot-reload npz
- SSO KA ID (oraka/auth.py) + favoris hub (hubfav.py) + pages légales
- README : badges, métriques prod (400 498 inscriptions), 9 captures
  Playwright (scripts/screenshots.mjs, régénérables)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

Simon-Pierre Boucher committed 2 h ago (Aug 13, 2026)

Showing 57 changed files with +20,001 and −0

added .gitignore +11 −0

		`@@ -0,0 +1,11 @@`
	1	+.env
	2	+.venv/
	3	+__pycache__/
	4	+*.pyc
	5	+node_modules
	6	+apps//data/.db
	7	+apps//data/.db-shm
	8	+apps//data/.db-wal
	9	+apps/*/frontend/dist/
	10	+data/semantic/
	11	+.DS_Store

added README.md +137 −0

		`@@ -0,0 +1,137 @@`
	1	+# Ora·Ka — Cinq agrégateurs. Une barre.
	2	+
	3	+Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+
	5	+[![Live](https://img.shields.io/badge/live-www.ora--ka.com-d9f26b?style=flat-square&labelColor=141814)](https://www.ora-ka.com)
	6	+[![Python](https://img.shields.io/badge/python-3.14-3776ab?style=flat-square&labelColor=141814&logo=python&logoColor=white)](requirements.txt)
	7	+[![FastAPI](https://img.shields.io/badge/fastapi-%E2%89%A50.110-009688?style=flat-square&labelColor=141814)](oraka/web.py)
	8	+[![React](https://img.shields.io/badge/react-18-61dafb?style=flat-square&labelColor=141814&logo=react&logoColor=61dafb)](apps)
	9	+[![SQLite](https://img.shields.io/badge/sqlite-%E2%89%881.4_Go-044a64?style=flat-square&labelColor=141814&logo=sqlite&logoColor=white)](apps)
	10	+[![Embeddings](https://img.shields.io/badge/openai-text--embedding--3--small_256d-6e56cf?style=flat-square&labelColor=141814)](oraka/semantic.py)
	11	+[![Inscriptions](https://img.shields.io/badge/inscriptions-400_498-d9f26b?style=flat-square&labelColor=141814)](https://www.ora-ka.com/api/overview)
	12	+[![Node](https://img.shields.io/badge/prod-M4M64a%3A8200_·_pm2_·_ngrok-ff5a2a?style=flat-square&labelColor=141814)](#production-maclustr--nœud-m4m64a-port-8200)
	13	+
	14	+Ora-Ka unifie les cinq agrégateurs automatisés de la famille Ka en une seule
	15	+plateforme : une barre de recherche, un moteur hybride exact + sémantique,
	16	+et les cinq applications d'origine reproduites fidèlement sous leur propre
	17	+préfixe — sans modifier une ligne de leurs backends.
	18	+
	19	+![Landing Ora-Ka](docs/screenshots/landing.png)
	20	+
	21	+## Métriques (prod, 2026-08-13)
	22	+
	23	+\| Univers \| Préfixe \| Contenu \| Inscriptions \| Sources \| Accent \|
	24	+\|-----------\|-----------\|--------------------------------\|-------------:\|--------:\|-----------\|
	25	+\| Immo·Ka \| `/immo/` \| Propriétés à vendre (QC) \| 48 487 \| 33 \| `#e23744` \|
	26	+\| Lou·Ka \| `/lou/` \| Logements à louer \| 16 563 \| 255 \| `#d9f26b` \|
	27	+\| Fabri·Ka \| `/fabri/` \| Produits québécois \| 291 132 \| 3 224 boutiques \| `#c4532e` \|
	28	+\| Auto·Ka \| `/auto/` \| Véhicules d'occasion \| 17 997 \| 138 \| `#ff5a2a` \|
	29	+\| Food·Ka \| `/food/` \| Épicerie comparée \| 26 319 \| 30 \| `#1f7a4d` \|
	30	+\| Total \| \| \| 400 498 \| \| \|
	31	+
	32	+\| Dimension \| Valeur \|
	33	+\|------------------------\|--------\|
	34	+\| Index sémantique \| 362 508 vecteurs · text-embedding-3-small · 256 d float16 · ≈ 164 Mo npz \|
	35	+\| Bases SQLite \| ≈ 1,4 Go (5 bases + 2 bases quartier) \|
	36	+\| Moteur `oraka/` \| 2 090 lignes Python (8 modules) \|
	37	+\| Backends embarqués \| 339 fichiers Python · 65 852 lignes (inchangés) \|
	38	+\| Frontends \| 5 SPA React 18 + Vite, rebuildées sous préfixe \|
	39	+\| Cadence d'ingestion \| immo 180 min · lou 60 · auto 120 · fabri/food 360 \|
	40	+\| Latence recherche \| brute-force numpy sur npz en RAM, hot-reload sur mtime \|
	41	+
	42	+## La recherche hybride
	43	+
	44	+Une seule barre (`/api/search`) interroge les cinq univers avec un **score
	45	+unifié par candidat** — pas de cascade exact-puis-sémantique :
	46	+
	47	+- Candidats : correspondance exacte par jetons AND (LIKE/FTS5) ∪ top-k sémantique par univers.
	48	+- Score : cosinus (lookup par uid, même pour les hits exacts) + 0,22·couverture-jetons + 0,10·phrase + 0,05·exact + affinité d'univers data-driven.
	49	+- Coupure dynamique (best − 0,22) + garantie de diversité : chaque univers ≥ best − 0,30 est épinglé dans le top 12.
	50	+- Affichage : pertinence relative en % (score/best), jauge, surlignage des jetons (préfixe en début de mot, stopwords exclus).
	51	+
	52	+\| « condo 2 chambres montréal » \| « fromage du québec » \|
	53	+\|---\|---\|
	54	+\| ![Recherche condo](docs/screenshots/recherche-condo.png) \| ![Recherche fromage](docs/screenshots/recherche-fromage.png) \|
	55	+
	56	+L'index (`oraka/semantic.py`) vit dans `data/semantic/<univers>.npz` ; le
	57	+serveur le recharge à chaud sur changement de mtime — un simple rsync des npz
	58	+suffit, sans redémarrage. Rebuild incrémental : `run.py index`
	59	+(~10 min, ~0,25 $ ; à relancer après les grosses syncs sinon l'index dérive).
	60	+
	61	+## Les cinq univers
	62	+
	63	+Chaque app est montée telle quelle sous son préfixe — mêmes fiches, mêmes
	64	+cartes, mêmes filtres que l'app d'origine :
	65	+
	66	+\| \| \|
	67	+\|---\|---\|
	68	+\| ![Immo·Ka](docs/screenshots/immo.png) `/immo/` \| ![Lou·Ka](docs/screenshots/lou.png) `/lou/` \|
	69	+\| ![Fabri·Ka](docs/screenshots/fabri.png) `/fabri/` \| ![Auto·Ka](docs/screenshots/auto.png) `/auto/` \|
	70	+\| ![Food·Ka](docs/screenshots/food.png) `/food/` \| ![Splash Groupe KA](docs/screenshots/splash.png) splash au boot \|
	71	+
	72	+Captures régénérables : `node scripts/screenshots.mjs` (playwright requis).
	73	+
	74	+## Architecture
	75	+
	76	+```
	77	+ora-ka/
	78	+ run.py # serve [port] \| sync [app ...] \| watch \| index
	79	+ oraka/
	80	+ web.py # app maîtresse : landing + /api/overview + /healthz + 5 mounts
	81	+ landing.py # landing « famille Ka × verre » (splash, ticker, cartes)
	82	+ search.py # /api/search — score unifié exact ∪ sémantique
	83	+ semantic.py # index npz par univers, hot-reload, OpenAI embeddings
	84	+ auth.py # SSO « KA ID » via le hub groupe-ka.com
	85	+ hubfav.py # favoris synchronisés au hub
	86	+ legal.py # conditions + confidentialité
	87	+ apps/
	88	+ immo/ { immoka/, data/{immoka.db, quartier.db, sources.json…}, frontend/ }
	89	+ lou/ { louka/, data/{louka.db, quartier.db, sources.json}, frontend/ }
	90	+ fabri/ { fabrika/, data/{fabrika.db, stores.json}, frontend/ }
	91	+ auto/ { autoka/, data/{autoka.db, sources.json}, frontend/ }
	92	+ food/ { foodka/, data/{foodka.db, sources.json}, frontend/ }
	93	+ data/semantic/ # <univers>.npz + .meta.json (non versionnés)
	94	+```
	95	+
	96	+Chaque app conserve son arborescence d'origine (`<package>/`, `data/`,
	97	+`frontend/dist/` frères) — ses chemins internes calculés via `__file__`
	98	+restent valides, aucun code backend n'a été modifié. Les frontends
	99	+React/Vite ont uniquement été rebuildés avec `base: '/<préfixe>/'` +
	100	+`basename` react-router + `API_BASE = import.meta.env.BASE_URL`
	101	+(+ cas spéciaux : worker MapLibre de lou, logos de food).
	102	+
	103	+Design de la landing : hybride « famille Ka × verre » — papier grainé
	104	+`#f5f3ee`, encre `#141814`, lime `#d9f26b`, JetBrains Mono uppercase,
	105	+bordures encre + ombres décalées dures, badge « Ka » incliné −2°, ticker,
	106	+splash Groupe KA (1,6 s, sessionStorage).
	107	+
	108	+## Lancement
	109	+
	110	+```bash
	111	+python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
	112	+# builds frontend (une fois) : cd apps/<x>/frontend && npm install && npm run build
	113	+.venv/bin/python run.py serve 8200 # plateforme complète
	114	+.venv/bin/python run.py sync # ingestion des 5 apps (ou : sync immo lou …)
	115	+.venv/bin/python run.py watch # boucle permanente, cadence native par app
	116	+.venv/bin/python run.py index # (re)construit l'index sémantique
	117	+```
	118	+
	119	+`.env` (non versionné) : `OPENAI_API_KEY` (index sémantique),
	120	+`FIRECRAWL_API_KEY`, `SCRAPFLY_KEY`, `SCRAPFLY_API_KEY` (ingestion seulement,
	121	+jamais le serveur) ; `KA_SSO_SECRET`, `KA_HUB_URL` (SSO KA ID).
	122	+
	123	+## Production (MacLustr — nœud M4M64a, port 8200)
	124	+
	125	+```bash
	126	+pm2 start .venv/bin/python --name ora-ka-web --interpreter none --cwd ~/apps/ora-ka -- run.py serve 8200
	127	+pm2 start .venv/bin/python --name ora-ka-sync --interpreter none --cwd ~/apps/ora-ka -- run.py watch
	128	+pm2 start /opt/homebrew/bin/ngrok --name ora-ka-ngrok --interpreter none -- http --url=www.ora-ka.com 8200
	129	+```
	130	+
	131	+Healthcheck : `GET /healthz` — vérifie la présence des 5 bases SQLite.
	132	+Stats agrégées en direct : `GET /api/overview`.
	133	+
	134	+---
	135	+
	136	+© 2026 Groupe KA — Ora-Ka agrège des données publiques ; chaque inscription
	137	+reste la propriété de sa source.

added apps/auto/autoka/__init__.py +5 −0

		`@@ -0,0 +1,5 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# -----------------------------------------------------------------------------
	5	+__version__ = "1.0.0"

added apps/auto/autoka/connectors/__init__.py +30 −0

		`@@ -0,0 +1,30 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/__init__.py : registre AUTO-DÉCOUVRANT des connecteurs
	5	+# Tout module de ce paquet contenant une sous-classe de BaseConnector avec un
	6	+# source_id non vide est enregistré automatiquement — aucun fichier partagé
	7	+# à modifier pour ajouter un connecteur.
	8	+# -----------------------------------------------------------------------------
	9	+from __future__ import annotations
	10	+
	11	+import importlib
	12	+import pkgutil
	13	+import sys
	14	+
	15	+from .base import BaseConnector
	16	+
	17	+CONNECTORS: dict[str, type[BaseConnector]] = {}
	18	+
	19	+for _mod in pkgutil.iter_modules(__path__):
	20	+ if _mod.name in ("base", "__init__") or _mod.name.startswith("_"):
	21	+ continue
	22	+ try:
	23	+ module = importlib.import_module(f"{__name__}.{_mod.name}")
	24	+ except Exception as exc: # un connecteur cassé ne bloque pas les autres
	25	+ print(f"[auto-ka] connecteur '{_mod.name}' ignoré : {exc}", file=sys.stderr)
	26	+ continue
	27	+ for obj in vars(module).values():
	28	+ if (isinstance(obj, type) and issubclass(obj, BaseConnector)
	29	+ and obj is not BaseConnector and getattr(obj, "source_id", "")):
	30	+ CONNECTORS[obj.source_id] = obj

added apps/auto/autoka/connectors/albioccasion.py +287 −0

		`@@ -0,0 +1,287 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/albioccasion.py : connecteur ALBI Occasion (albioccasion.com),
	5	+# la division occasion d'ALBI le Géant — très grosse chaîne multi-
	6	+# succursales (Mascouche, Repentigny, Blainville, Laval, Rive-Nord…),
	7	+# ~1 100+ véhicules d'occasion.
	8	+#
	9	+# Plateforme : ASP.NET WebForms maison. La liste /fr/inventaire/?page=N
	10	+# (12 véhicules/page, « Page X de Y » dans le HTML) référence chaque page
	11	+# détail /fr/vehicule/<id>/<slug>/. La page détail expose un microdata
	12	+# schema.org complet (itemprop) : prix, km, VIN, année, version,
	13	+# transmission, portes, places, couleurs, carrosserie + des lignes de
	14	+# spécifications (SpecLine : entraînement, catégorie…), la galerie photos
	15	+# (S3 enzo-production …/vehicules_medias/…) et la succursale réelle du
	16	+# véhicule (lien Google Maps « ALBI Occasion <Ville> »).
	17	+#
	18	+# Pages détail en cache BD (clé hebdomadaire — le prix est revalidé chaque
	19	+# semaine). AUTOKA_MAX_PAGES limite la pagination liste et
	20	+# AUTOKA_MAX_DETAILS plafonne les vraies requêtes détail par sync.
	21	+# -----------------------------------------------------------------------------
	22	+from __future__ import annotations
	23	+
	24	+import datetime
	25	+import html as htmllib
	26	+import os
	27	+import re
	28	+import urllib.parse
	29	+
	30	+from ..schema import Vehicle
	31	+from .base import BaseConnector
	32	+
	33	+_LINK_RE = re.compile(r'href="/fr/vehicule/(\d+)/([^"/]+)/?"')
	34	+_TOTAL_PAGES_RE = re.compile(r'TotalPagesLabel">\s*(\d+)')
	35	+
	36	+_H1_RE = re.compile(r"<h1[^>]>(.?)</h1>", re.S)
	37	+_ITEMPROP_CONTENT_RE = r'itemprop="{name}"[^>]content="([^"])"'
	38	+_ITEMPROP_TEXT_RE = r'itemprop="{name}"[^>]>\s([^<]+)'
	39	+_SPEC_RE = re.compile(r'class="SpecLine">\s([^:<]+):\s(?:<span[^>]*>)?'
	40	+ r"\s([^<])", re.S)
	41	+_STOCK_RE = re.compile(r'data\.stock\s=\s"([^"]+)"')
	42	+_BRANCH_RE = re.compile(r"maps/dir//([^,\"]+),")
	43	+_IMG_RE = re.compile(r'https://[^"\'\s\\]+/vehicules_medias/[^"\'\s\\]+'
	44	+ r"\.(?:jpe?g\|png\|webp)", re.I)
	45	+
	46	+_EXCLUDE_RE = re.compile(
	47	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|scooter\|spyder\|ryker\|"
	48	+ r"can-?am\|ski-?doo\|sea-?doo\|roulotte\|remorque\|\bvr\b\|campeur", re.I)
	49	+
	50	+
	51	+def _clean(text) -> str:
	52	+ if not text:
	53	+ return ""
	54	+ out = htmllib.unescape(str(text))
	55	+ out = re.sub(r"<[^>]+>", " ", out)
	56	+ return re.sub(r"\s{2,}", " ", out).strip()
	57	+
	58	+
	59	+def _prop(html: str, name: str) -> str:
	60	+ m = re.search(_ITEMPROP_CONTENT_RE.format(name=name), html)
	61	+ if m and m.group(1).strip():
	62	+ return _clean(m.group(1))
	63	+ m = re.search(_ITEMPROP_TEXT_RE.format(name=name), html)
	64	+ return _clean(m.group(1)) if m else ""
	65	+
	66	+
	67	+def _to_float(text) -> float \| None:
	68	+ if text in (None, ""):
	69	+ return None
	70	+ t = re.sub(r"[^\d.]", "", str(text))
	71	+ try:
	72	+ return float(t) if t else None
	73	+ except ValueError:
	74	+ return None
	75	+
	76	+
	77	+class AlbiOccasion(BaseConnector):
	78	+ """ALBI Occasion — liste ASP.NET paginée + pages détail (microdata)."""
	79	+
	80	+ source_id = "albioccasion"
	81	+ base_url = "https://www.albioccasion.com"
	82	+ dealer_name = "ALBI Occasion"
	83	+ city = "Mascouche"
	84	+ request_delay = 2.5 # le site retourne 429 sous ~1 s/requête
	85	+ max_pages = 150 # garde-fou dur (~95 pages réelles)
	86	+ max_details = 400 # plafond de vraies requêtes par sync
	87	+
	88	+ def get(self, url, **kw):
	89	+ """GET avec backoff sur 429 (rate-limit ALBI)."""
	90	+ import time as _t
	91	+
	92	+ import requests as _rq
	93	+ for attempt in range(4):
	94	+ try:
	95	+ return super().get(url, **kw)
	96	+ except _rq.exceptions.HTTPError as exc:
	97	+ if exc.response is not None and exc.response.status_code == 429 \
	98	+ and attempt < 3:
	99	+ _t.sleep(20 * (attempt + 1)) # 20 s, 40 s, 60 s
	100	+ continue
	101	+ raise
	102	+
	103	+ # -- pages liste -> [(id, slug)] --------------------------------------------
	104	+ def _vehicle_refs(self) -> list[tuple[str, str]]:
	105	+ cap = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	106	+ refs: list[tuple[str, str]] = []
	107	+ seen: set[str] = set()
	108	+
	109	+ page, last_page = 1, 1
	110	+ while page <= min(last_page, cap, self.max_pages):
	111	+ url = f"{self.base_url}/fr/inventaire/"
	112	+ if page > 1:
	113	+ url += f"?page={page}"
	114	+ html = self.get(url).text
	115	+ if page == 1:
	116	+ m = _TOTAL_PAGES_RE.search(html)
	117	+ if m:
	118	+ last_page = int(m.group(1))
	119	+ new = 0
	120	+ for veh_id, slug in _LINK_RE.findall(html):
	121	+ if veh_id not in seen:
	122	+ seen.add(veh_id)
	123	+ refs.append((veh_id, slug))
	124	+ new += 1
	125	+ if new == 0: # page recyclée / fin atteinte
	126	+ break
	127	+ page += 1
	128	+ return refs
	129	+
	130	+ # -- page détail -> payload ---------------------------------------------------
	131	+ def _fetch_detail(self, url: str) -> dict:
	132	+ html = self.get(url).text
	133	+ payload: dict = {}
	134	+
	135	+ m = _H1_RE.search(html)
	136	+ if m:
	137	+ payload["title"] = _clean(m.group(1))
	138	+
	139	+ for name in ("price", "vehicleModelDate", "vehicleConfiguration",
	140	+ "vehicleIdentificationNumber", "mileageFromOdometer",
	141	+ "vehicleTransmission", "color", "vehicleInteriorColor",
	142	+ "bodyType", "numberOfDoors", "vehicleSeatingCapacity",
	143	+ "description", "name"):
	144	+ value = _prop(html, name)
	145	+ if value:
	146	+ payload[name] = value
	147	+
	148	+ specs: dict[str, str] = {}
	149	+ for label, value in _SPEC_RE.findall(html):
	150	+ label, value = _clean(label), _clean(value)
	151	+ if label and value:
	152	+ specs.setdefault(label, value)
	153	+ payload["specs"] = specs
	154	+
	155	+ m = _STOCK_RE.search(html)
	156	+ if m:
	157	+ payload["stock"] = m.group(1).strip()
	158	+ m = re.search(r'data\.make\s=\s"([^"]*)"', html)
	159	+ if m:
	160	+ payload["make"] = m.group(1).strip()
	161	+ m = re.search(r'data\.model\s=\s"([^"]*)"', html)
	162	+ if m:
	163	+ payload["model"] = m.group(1).strip()
	164	+
	165	+ m = _BRANCH_RE.search(html)
	166	+ if m:
	167	+ payload["branch"] = urllib.parse.unquote_plus(m.group(1)).strip()
	168	+
	169	+ images, seen = [], set()
	170	+ for u in _IMG_RE.findall(html):
	171	+ if u not in seen:
	172	+ seen.add(u)
	173	+ images.append(u)
	174	+ payload["images"] = images[:20]
	175	+ return payload
	176	+
	177	+ # -- contrat ---------------------------------------------------------------
	178	+ def fetch(self) -> list[Vehicle]:
	179	+ refs = self._vehicle_refs()
	180	+ week = datetime.date.today().isocalendar()
	181	+ cache_key = f"v1:{week.year}w{week.week}" # revalidation hebdomadaire
	182	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	183	+
	184	+ vehicles: list[Vehicle] = []
	185	+ real_fetches = 0
	186	+ for veh_id, slug in refs:
	187	+ url = f"{self.base_url}/fr/vehicule/{veh_id}/{slug}/"
	188	+
	189	+ def _fetch(u=url):
	190	+ return self._fetch_detail(u)
	191	+
	192	+ if real_fetches >= cap: # plafond : cache seulement
	193	+ from .. import db
	194	+ if self._detail_con is None:
	195	+ self._detail_con = db.connect()
	196	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	197	+ veh_id, cache_key)
	198	+ if data is None:
	199	+ continue
	200	+ else:
	201	+ before = self._last_request
	202	+ try:
	203	+ data = self.detail(veh_id, cache_key, _fetch)
	204	+ except Exception:
	205	+ # page disparue (vendu) ou erreur ponctuelle : continuer
	206	+ if self._last_request != before:
	207	+ real_fetches += 1
	208	+ continue
	209	+ if self._last_request != before:
	210	+ real_fetches += 1
	211	+ if not data:
	212	+ continue
	213	+ veh = self._to_vehicle(veh_id, url, data)
	214	+ if veh is not None:
	215	+ vehicles.append(veh)
	216	+ return vehicles
	217	+
	218	+ # -- payload -> Vehicle ------------------------------------------------------
	219	+ def _to_vehicle(self, veh_id: str, url: str, d: dict) -> Vehicle \| None:
	220	+ specs = d.get("specs") or {}
	221	+ make = _clean(d.get("make"))
	222	+ model = _clean(d.get("model"))
	223	+ title = _clean(d.get("name") or d.get("title"))
	224	+ if not title and not (make or model):
	225	+ return None
	226	+ body = _clean(d.get("bodyType") or specs.get("Catégorie"))
	227	+ if _EXCLUDE_RE.search(f"{make} {model} {body} {title}"):
	228	+ return None
	229	+
	230	+ year = None
	231	+ m = re.search(r"(19\|20)\d{2}", str(d.get("vehicleModelDate") or ""))
	232	+ if m:
	233	+ year = int(m.group(0))
	234	+
	235	+ branch = _clean(d.get("branch"))
	236	+ city = self.city
	237	+ if branch:
	238	+ # « ALBI Occasion Mascouche » -> ville ; les succursales de
	239	+ # marque (« ALBI Le Géant Mazda »…) restent sur la ville de repli
	240	+ m = re.match(r"ALBI\s+Occasion\s+(.+)$", branch, re.I)
	241	+ if m:
	242	+ city = m.group(1).strip()
	243	+
	244	+ details: dict = {}
	245	+ if branch:
	246	+ details["branch"] = branch
	247	+ if specs.get("Type"):
	248	+ details["size_class"] = specs["Type"]
	249	+ if specs.get("Garantie manufacturier"):
	250	+ details["manufacturer_warranty"] = specs["Garantie manufacturier"]
	251	+
	252	+ price = _to_float(d.get("price"))
	253	+ km = _to_float(d.get("mileageFromOdometer"))
	254	+
	255	+ return Vehicle(
	256	+ source=self.source_id,
	257	+ external_id=veh_id,
	258	+ url=url,
	259	+ title=title or " ".join(x for x in (make, model, year or "") if x),
	260	+ make=make,
	261	+ model=model,
	262	+ trim=_clean(d.get("vehicleConfiguration")),
	263	+ year=year,
	264	+ price=price,
	265	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	266	+ mileage_km=km,
	267	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	268	+ transmission=_clean(d.get("vehicleTransmission")
	269	+ or specs.get("Transmission")),
	270	+ drivetrain=_clean(specs.get("Entraînement")),
	271	+ body_type=body,
	272	+ exterior_color=_clean(d.get("color")
	273	+ or specs.get("Couleur extérieure")),
	274	+ interior_color=_clean(d.get("vehicleInteriorColor")
	275	+ or specs.get("Couleur intérieure")),
	276	+ doors=int(_to_float(d.get("numberOfDoors")
	277	+ or specs.get("Portes")) or 0) or None,
	278	+ seats=int(_to_float(d.get("vehicleSeatingCapacity")
	279	+ or specs.get("Places Assises")) or 0) or None,
	280	+ vin=_clean(d.get("vehicleIdentificationNumber")),
	281	+ stock_number=_clean(d.get("stock")),
	282	+ dealer_name=branch or self.dealer_name,
	283	+ city=city,
	284	+ description=_clean(d.get("description"))[:4000],
	285	+ details=details,
	286	+ images=d.get("images") or [],
	287	+ )

added apps/auto/autoka/connectors/autodurocher.py +237 −0

		`@@ -0,0 +1,237 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/autodurocher.py : connecteur Entrepôt Auto Durocher
	5	+# (autodurocher.com), gros marchand indépendant de Mirabel (~200 véhicules,
	6	+# occasion seulement).
	7	+#
	8	+# Plateforme : WordPress + Elementor + JetEngine (CPT « vehicles »).
	9	+# Le sitemap /fr/sitemap_index.xml expose des vehicles-sitemapN.xml qui ne
	10	+# recensent QUE l'inventaire courant (/fr/vehicles/<slug>/). Chaque page
	11	+# détail embarque un JSON-LD (script class="fute-custom-schema-vehicles",
	12	+# Organization -> makesOffer -> itemOffered @type Car) : prix, km,
	13	+# transmission, couleur, carrosserie, rouage, année, marque, modèle — et la
	14	+# galerie photos (CDN AutoTrader 1s-photomanager). Le no de stock est le
	15	+# dernier segment du slug. Le JSON contient des sauts de ligne bruts ->
	16	+# json.loads(strict=False).
	17	+#
	18	+# Pages détail en cache BD (clé hebdomadaire) ; AUTOKA_MAX_DETAILS (env)
	19	+# plafonne les vraies requêtes détail par synchronisation.
	20	+# -----------------------------------------------------------------------------
	21	+from __future__ import annotations
	22	+
	23	+import datetime
	24	+import html as htmllib
	25	+import json
	26	+import os
	27	+import re
	28	+
	29	+from ..schema import Vehicle
	30	+from .base import BaseConnector
	31	+
	32	+_SITEMAP_RE = re.compile(r"vehicles-sitemap\d+\.xml$")
	33	+_VEH_URL_RE = re.compile(r"/fr/vehicles/([a-z0-9-]+)/?$")
	34	+_STOCK_RE = re.compile(r"-(?:19\|20)\d{2}-([a-z0-9]+)$")
	35	+
	36	+_SCHEMA_RE = re.compile(
	37	+ r'<script type=["\']application/ld\+json["\'][^>]*'
	38	+ r'class="fute-custom-schema-vehicles"[^>]>(.?)</script>', re.S)
	39	+_LD_RE = re.compile(
	40	+ r'<script type=["\']application/ld\+json["\'][^>]>(.?)</script>', re.S)
	41	+_IMG_RE = re.compile(r'https://1s-photomanager[^"\'\s\\<>]+', re.I)
	42	+
	43	+_FUEL_HINT_RE = re.compile(
	44	+ r"(hybride rechargeable\|plug-?in\|phev\|hybride\|hybrid\|électrique\|"
	45	+ r"electrique\|electric\|\bev\b\|diesel\|tdi)", re.I)
	46	+
	47	+_EXCLUDE_RE = re.compile(
	48	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|scooter\|spyder\|ryker\|"
	49	+ r"can-?am\|ski-?doo\|sea-?doo\|roulotte\|remorque\|\bvr\b\|campeur", re.I)
	50	+
	51	+
	52	+def _clean(text) -> str:
	53	+ if not text:
	54	+ return ""
	55	+ out = htmllib.unescape(str(text))
	56	+ out = re.sub(r"<[^>]+>", " ", out)
	57	+ return re.sub(r"\s+", " ", out).strip()
	58	+
	59	+
	60	+def _num(value):
	61	+ try:
	62	+ v = float(str(value).replace(",", "").replace(" ", ""))
	63	+ except (TypeError, ValueError):
	64	+ return None
	65	+ return v if v else None
	66	+
	67	+
	68	+class AutoDurocher(BaseConnector):
	69	+ """Entrepôt Auto Durocher — sitemaps vehicles + JSON-LD des pages détail."""
	70	+
	71	+ source_id = "autodurocher"
	72	+ base_url = "https://www.autodurocher.com"
	73	+ dealer_name = "Entrepôt Auto Durocher"
	74	+ city = "Mirabel"
	75	+ request_delay = 1.0
	76	+ max_details = 300 # plafond de vraies requêtes par sync
	77	+
	78	+ # -- sitemaps ----------------------------------------------------------------
	79	+ def _vehicle_slugs(self) -> list[str]:
	80	+ index = self.get(f"{self.base_url}/fr/sitemap_index.xml").text
	81	+ maps = [loc.strip() for loc in re.findall(r"<loc>([^<]+)</loc>", index)
	82	+ if _SITEMAP_RE.search(loc.strip())]
	83	+ slugs: list[str] = []
	84	+ for sitemap_url in maps:
	85	+ try:
	86	+ xml = self.get(sitemap_url).text
	87	+ except Exception:
	88	+ continue # un sitemap HS ne bloque pas
	89	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	90	+ m = _VEH_URL_RE.search(loc.strip())
	91	+ if m:
	92	+ slugs.append(m.group(1))
	93	+ return sorted(set(slugs))
	94	+
	95	+ # -- page détail -> payload ---------------------------------------------------
	96	+ def _fetch_detail(self, url: str) -> dict:
	97	+ html = self.get(url).text
	98	+ payload: dict = {}
	99	+
	100	+ blocks = _SCHEMA_RE.findall(html) or _LD_RE.findall(html)
	101	+ for block in blocks:
	102	+ try:
	103	+ data = json.loads(block.strip(), strict=False)
	104	+ except ValueError:
	105	+ continue
	106	+ offer = data.get("makesOffer") or {}
	107	+ car = offer.get("itemOffered") or {}
	108	+ if not isinstance(car, dict) or car.get("@type") != "Car":
	109	+ continue
	110	+ spec = offer.get("priceSpecification") or {}
	111	+ payload["price"] = spec.get("price")
	112	+ payload["car"] = {k: v for k, v in car.items()
	113	+ if not str(k).startswith("@")}
	114	+ break
	115	+
	116	+ images, seen = [], set()
	117	+ for u in _IMG_RE.findall(html):
	118	+ if u not in seen:
	119	+ seen.add(u)
	120	+ images.append(u)
	121	+ payload["images"] = images[:20]
	122	+ return payload
	123	+
	124	+ # -- contrat ---------------------------------------------------------------
	125	+ def fetch(self) -> list[Vehicle]:
	126	+ slugs = self._vehicle_slugs()
	127	+ week = datetime.date.today().isocalendar()
	128	+ cache_key = f"v1:{week.year}w{week.week}" # revalidation hebdomadaire
	129	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	130	+
	131	+ vehicles: list[Vehicle] = []
	132	+ real_fetches = 0
	133	+ for slug in slugs:
	134	+ url = f"{self.base_url}/fr/vehicles/{slug}/"
	135	+
	136	+ def _fetch(u=url):
	137	+ return self._fetch_detail(u)
	138	+
	139	+ if real_fetches >= cap: # plafond : cache seulement
	140	+ from .. import db
	141	+ if self._detail_con is None:
	142	+ self._detail_con = db.connect()
	143	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	144	+ slug, cache_key)
	145	+ if data is None:
	146	+ continue
	147	+ else:
	148	+ before = self._last_request
	149	+ try:
	150	+ data = self.detail(slug, cache_key, _fetch)
	151	+ except Exception:
	152	+ # page disparue (vendu) ou erreur ponctuelle : continuer
	153	+ if self._last_request != before:
	154	+ real_fetches += 1
	155	+ continue
	156	+ if self._last_request != before:
	157	+ real_fetches += 1
	158	+ if not data or not data.get("car"):
	159	+ continue
	160	+ veh = self._to_vehicle(slug, url, data)
	161	+ if veh is not None:
	162	+ vehicles.append(veh)
	163	+ return vehicles
	164	+
	165	+ # -- payload -> Vehicle ------------------------------------------------------
	166	+ def _to_vehicle(self, slug: str, url: str, d: dict) -> Vehicle \| None:
	167	+ car = d.get("car") or {}
	168	+ make = _clean(car.get("manufacturer") or car.get("brand"))
	169	+ model = _clean(car.get("model"))
	170	+ name = _clean(str(car.get("name") or "").split("\n")[0])
	171	+ if not (make or model or name):
	172	+ return None
	173	+ body = _clean(car.get("bodyType"))
	174	+ if _EXCLUDE_RE.search(f"{make} {model} {body} {name}"):
	175	+ return None
	176	+
	177	+ year = None
	178	+ m = re.search(r"(19\|20)\d{2}", str(car.get("vehicleModelDate")
	179	+ or car.get("modelDate") or ""))
	180	+ if m:
	181	+ year = int(m.group(0))
	182	+
	183	+ # « 2018 - Audi A3 » -> titre standard
	184	+ title = re.sub(r"^(?:19\|20)\d{2}\s-\s", "", name)
	185	+ title = " ".join(x for x in (title or f"{make} {model}",
	186	+ str(year or "")) if x)
	187	+
	188	+ price = _num(d.get("price"))
	189	+ km = _num(car.get("mileageFromOdometer"))
	190	+
	191	+ stock = ""
	192	+ m = _STOCK_RE.search(slug)
	193	+ if m:
	194	+ stock = m.group(1).upper()
	195	+
	196	+ engine = ""
	197	+ eng = car.get("vehicleEngine")
	198	+ if isinstance(eng, dict):
	199	+ engine = _clean(eng.get("name"))
	200	+
	201	+ description = _clean(car.get("description"))[:4000]
	202	+ # indice carburant : le NOM seulement (la description parle de
	203	+ # « sièges électriques » etc. -> faux positifs)
	204	+ fuel = ""
	205	+ m = _FUEL_HINT_RE.search(name)
	206	+ if m:
	207	+ fuel = m.group(1)
	208	+
	209	+ images = d.get("images") or []
	210	+ ld_img = car.get("image")
	211	+ if not images and isinstance(ld_img, str):
	212	+ images = [ld_img]
	213	+
	214	+ return Vehicle(
	215	+ source=self.source_id,
	216	+ external_id=slug,
	217	+ url=url,
	218	+ title=title,
	219	+ make=make,
	220	+ model=model,
	221	+ year=year,
	222	+ price=price,
	223	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	224	+ mileage_km=km,
	225	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	226	+ transmission=_clean(car.get("vehicleTransmission")),
	227	+ fuel=fuel,
	228	+ drivetrain=_clean(car.get("driveWheelConfiguration")),
	229	+ body_type=body,
	230	+ exterior_color=_clean(car.get("color")),
	231	+ engine=engine,
	232	+ stock_number=stock,
	233	+ dealer_name=self.dealer_name,
	234	+ city=self.city,
	235	+ description=description,
	236	+ images=images,
	237	+ )

added apps/auto/autoka/connectors/automobileendirect.py +246 −0

		`@@ -0,0 +1,246 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/automobileendirect.py : connecteur Automobile En Direct
	5	+# (automobileendirect.com), grande chaîne d'occasion — Saint-Constant,
	6	+# Laval, Saint-Hubert, Île-Perrot, Québec, Gatineau.
	7	+#
	8	+# Stratégie : le site est une SPA React alimentée par une API REST
	9	+# publique non authentifiée : https://api.automobileendirect.com
	10	+# GET /cars?page=N (en-tête accept-language: fr)
	11	+# -> {"totalResults": ~1725, "results": [22 véhicules]}
	12	+# chaque résultat : vin, slug, année/marque/modèle/version, prix
	13	+# courant + régulier (CAD), km, transmission, carburant, carrosserie,
	14	+# couleur, no de stock, photos, succursale (store.title.fr = ville).
	15	+# GET /cars/detailed/<vin> (optionnel, mise en cache BD, clé statique :
	16	+# contenu quasi immuable, le prix/km frais viennent de la liste)
	17	+# -> traction, portes, passagers, moteur, couleurs, description,
	18	+# options, anciens propriétaires ET la galerie complète
	19	+# (photos.all ≈ 25 images vs 4 aperçus dans la liste).
	20	+# ~80 requêtes de liste pour tout l'inventaire ; les pages détail sont
	21	+# plafonnées par AUTOKA_MAX_DETAILS (défaut 1200 — API JSON rapide,
	22	+# ~1 s/requête) et complétées aux syncs suivants via le cache BD.
	23	+#
	24	+# URL publique d'une fiche : /auto-usage/<slug>/<vin> (route SPA fr).
	25	+# AUTOKA_MAX_PAGES (env) limite le nombre de pages de liste (tests).
	26	+# -----------------------------------------------------------------------------
	27	+from __future__ import annotations
	28	+
	29	+import os
	30	+import re
	31	+
	32	+from ..schema import Vehicle
	33	+from .base import BaseConnector
	34	+
	35	+API = "https://api.automobileendirect.com"
	36	+SITE = "https://www.automobileendirect.com"
	37	+
	38	+_PER_PAGE = 22 # taille fixe côté serveur
	39	+_AWD_RE = re.compile(r"\b(awd\|4wd\|4x4\|quattro\|xdrive\|4matic\|4motion)\b", re.I)
	40	+
	41	+# clé de cache détail (v2 : ajout de la galerie photos.all au payload)
	42	+_DETAIL_KEY = "v2"
	43	+
	44	+
	45	+def _fr(value) -> str:
	46	+ """Champ bilingue {'fr':…,'en':…} ou {'id':…,'title':{…}} -> texte fr."""
	47	+ if isinstance(value, dict):
	48	+ if "title" in value:
	49	+ return _fr(value["title"])
	50	+ return str(value.get("fr") or value.get("en") or "").strip()
	51	+ return str(value or "").strip()
	52	+
	53	+
	54	+class AutomobileEnDirect(BaseConnector):
	55	+ """Automobile En Direct — inventaire complet via l'API REST de la SPA."""
	56	+
	57	+ source_id = "automobileendirect"
	58	+ dealer_name = "Automobile En Direct"
	59	+ request_delay = 1.0
	60	+ max_pages = 200 # garde-fou dur (~80 pages réelles)
	61	+ max_details = 1200 # plafond de vraies requêtes détail / sync
	62	+ # (API JSON rapide ; inventaire complet
	63	+ # enrichi en ≤ 2 syncs, puis cache BD)
	64	+
	65	+ def __init__(self) -> None:
	66	+ super().__init__()
	67	+ self.session.headers["accept-language"] = "fr"
	68	+
	69	+ # -- API ----------------------------------------------------------------
	70	+ def _list_page(self, page: int) -> dict:
	71	+ return self.get(f"{API}/cars", params={"page": page}).json()
	72	+
	73	+ def _fetch_detail(self, vin: str) -> dict:
	74	+ data = self.get(f"{API}/cars/detailed/{vin}").json()
	75	+ # ne garder que les champs utiles (cache BD compact)
	76	+ keep = ("traction", "doors", "passengers", "engineDescription",
	77	+ "engineSize", "cylinders", "colors", "description",
	78	+ "options", "previousOwners", "fuelConsumption")
	79	+ out = {k: data[k] for k in keep if data.get(k) is not None}
	80	+ # galerie complète (photos.all) — la liste n'a que 4 aperçus
	81	+ photos = data.get("photos") or {}
	82	+ gallery = [u for u in (photos.get("all") or []) if isinstance(u, str)]
	83	+ if gallery:
	84	+ out["photos"] = gallery[:30]
	85	+ return out
	86	+
	87	+ # -- contrat --------------------------------------------------------------
	88	+ def fetch(self) -> list[Vehicle]:
	89	+ page_cap = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	90	+ detail_cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	91	+
	92	+ rows: list[dict] = []
	93	+ seen: set[str] = set()
	94	+ page, total = 1, None
	95	+ while page <= min(page_cap, self.max_pages):
	96	+ data = self._list_page(page)
	97	+ results = data.get("results") or []
	98	+ if not results:
	99	+ break
	100	+ total = data.get("totalResults") or total
	101	+ for r in results:
	102	+ vin = str(r.get("vin") or "").strip()
	103	+ if vin and vin not in seen:
	104	+ seen.add(vin)
	105	+ rows.append(r)
	106	+ if total is not None and page * _PER_PAGE >= total:
	107	+ break
	108	+ page += 1
	109	+
	110	+ vehicles: list[Vehicle] = []
	111	+ real_fetches = 0
	112	+ for r in rows:
	113	+ extra: dict = {}
	114	+ vin = str(r["vin"])
	115	+ if real_fetches >= detail_cap:
	116	+ # budget épuisé : on sert quand même le cache BD existant
	117	+ from .. import db
	118	+ if self._detail_con is None:
	119	+ self._detail_con = db.connect()
	120	+ extra = db.get_cached_detail(self._detail_con, self.source_id,
	121	+ vin, _DETAIL_KEY) or {}
	122	+ else:
	123	+ before = self._last_request
	124	+ # clé statique : le détail (traction, moteur, options…) ne
	125	+ # change pas ; prix/km frais viennent toujours de la liste
	126	+ try:
	127	+ extra = self.detail(vin, _DETAIL_KEY,
	128	+ lambda v=vin: self._fetch_detail(v))
	129	+ except Exception:
	130	+ extra = {} # détail indisponible : données liste suffisent
	131	+ if self._last_request != before:
	132	+ real_fetches += 1
	133	+ veh = self._to_vehicle(r, extra)
	134	+ if veh is not None:
	135	+ vehicles.append(veh)
	136	+ return vehicles
	137	+
	138	+ # -- payload API -> Vehicle -------------------------------------------------
	139	+ def _to_vehicle(self, r: dict, extra: dict) -> Vehicle \| None:
	140	+ if r.get("sold") or r.get("hidden") or r.get("removedFromInventory"):
	141	+ return None
	142	+ vin = str(r.get("vin") or "").strip()
	143	+ slug = str(r.get("slug") or "").strip()
	144	+ if not vin or not slug:
	145	+ return None
	146	+
	147	+ year = r.get("year")
	148	+ make = str(r.get("make") or "").strip()
	149	+ model = str(r.get("model") or "").strip()
	150	+ trim = str(r.get("trim") or "").strip()
	151	+
	152	+ prices = r.get("prices") or {}
	153	+ price = prices.get("current") or prices.get("regular")
	154	+ try:
	155	+ price = float(price) if price else None
	156	+ except (TypeError, ValueError):
	157	+ price = None
	158	+
	159	+ km = r.get("kilometers")
	160	+ try:
	161	+ km = float(km) if km not in (None, "") else None
	162	+ except (TypeError, ValueError):
	163	+ km = None
	164	+
	165	+ # galerie complète depuis le détail (≈ 25 photos), sinon aperçus liste
	166	+ images = [u for u in (extra.get("photos") or []) if isinstance(u, str)]
	167	+ if not images:
	168	+ photos = r.get("photos") or {}
	169	+ images = [u for u in (photos.get("preview") or [])
	170	+ if isinstance(u, str)]
	171	+ if not images and photos.get("main"):
	172	+ images = [photos["main"]]
	173	+
	174	+ # traction : page détail si dispo, sinon indice AWD/4x4 dans la version
	175	+ drivetrain = _fr(extra.get("traction"))
	176	+ if not drivetrain and _AWD_RE.search(trim):
	177	+ drivetrain = "Intégrale / 4x4"
	178	+
	179	+ colors = extra.get("colors") or {}
	180	+ interior = _fr(colors.get("interior")) if isinstance(colors, dict) else ""
	181	+
	182	+ engine = str(extra.get("engineDescription") or "").strip()
	183	+ if not engine and extra.get("engineSize"):
	184	+ cyl = extra.get("cylinders")
	185	+ engine = f"{extra['engineSize']}L" + (f" {cyl} cyl." if cyl else "")
	186	+
	187	+ description = _fr(extra.get("description")) or _fr(r.get("punchline"))
	188	+
	189	+ features: list[str] = []
	190	+ for opt in extra.get("options") or []:
	191	+ label = _fr(opt.get("title") if isinstance(opt, dict) else opt) \
	192	+ if isinstance(opt, (dict, str)) else ""
	193	+ if label:
	194	+ features.append(label)
	195	+
	196	+ details: dict = {}
	197	+ regular = prices.get("regular")
	198	+ if regular and price and regular != price:
	199	+ details["regular_price"] = regular
	200	+ if r.get("electricRange"):
	201	+ details["electric_range_km"] = r["electricRange"]
	202	+ if extra.get("previousOwners") is not None:
	203	+ details["previous_owners"] = extra["previousOwners"]
	204	+ if r.get("carfaxAmount") is not None:
	205	+ details["carfax_reports"] = r["carfaxAmount"]
	206	+
	207	+ try:
	208	+ doors = int(extra["doors"]) if extra.get("doors") else None
	209	+ except (TypeError, ValueError):
	210	+ doors = None
	211	+ try:
	212	+ seats = int(extra["passengers"]) if extra.get("passengers") else None
	213	+ except (TypeError, ValueError):
	214	+ seats = None
	215	+
	216	+ return Vehicle(
	217	+ source=self.source_id,
	218	+ external_id=vin,
	219	+ url=f"{SITE}/auto-usage/{slug}/{vin}",
	220	+ title=" ".join(str(x) for x in (year, make, model) if x),
	221	+ make=make,
	222	+ model=model,
	223	+ trim=trim,
	224	+ year=int(year) if year else None,
	225	+ price=price,
	226	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	227	+ mileage_km=km,
	228	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	229	+ transmission=_fr(r.get("transmission")),
	230	+ fuel=_fr(r.get("fuelType")),
	231	+ drivetrain=drivetrain,
	232	+ body_type=_fr(r.get("body")),
	233	+ exterior_color=_fr(r.get("exteriorColor")),
	234	+ interior_color=interior,
	235	+ engine=engine,
	236	+ doors=doors,
	237	+ seats=seats,
	238	+ vin=vin,
	239	+ stock_number=str(r.get("stockNumber") or ""),
	240	+ dealer_name=self.dealer_name,
	241	+ city=_fr(r.get("store")),
	242	+ description=description[:4000],
	243	+ features=features[:80],
	244	+ details=details,
	245	+ images=images[:30],
	246	+ )

added apps/auto/autoka/connectors/base.py +141 −0

		`@@ -0,0 +1,141 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/base.py : classe de base des connecteurs + backends de fetch
	5	+# (requests direct, ou Firecrawl pour JS/Cloudflare)
	6	+# -----------------------------------------------------------------------------
	7	+from __future__ import annotations
	8	+
	9	+import os
	10	+import time
	11	+
	12	+import requests
	13	+
	14	+from ..schema import Vehicle
	15	+
	16	+USER_AGENT = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
	17	+ "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 "
	18	+ "AutoKaBot/1.0 (+contact@spboucher.ai)")
	19	+
	20	+FIRECRAWL_API = "https://api.firecrawl.dev/v1/scrape"
	21	+SCRAPFLY_API = "https://api.scrapfly.io/scrape"
	22	+
	23	+
	24	+class BaseConnector:
	25	+ """Un connecteur = un adaptateur propre à un site de concessionnaire.
	26	+
	27	+ Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne
	28	+ la liste complète des véhicules actuellement affichés sur le site.
	29	+ Le pipeline (ingest.py) s'occupe du diff avec la base de données.
	30	+ """
	31	+
	32	+ source_id: str = ""
	33	+ request_delay: float = 0.6 # politesse entre requêtes
	34	+ timeout: int = 30
	35	+ use_detail_cache: bool = True # cache BD des pages détail
	36	+
	37	+ def __init__(self) -> None:
	38	+ self.session = requests.Session()
	39	+ self.session.headers["User-Agent"] = USER_AGENT
	40	+ self._last_request = 0.0
	41	+ self._detail_con = None
	42	+
	43	+ # -- backends -------------------------------------------------------------
	44	+ def get(self, url: str, **kw) -> requests.Response:
	45	+ """GET direct avec throttling poli.
	46	+
	47	+ Retry (2×) sur les connexions keep-alive fermées par le serveur —
	48	+ fréquent chez D2C Media / SM360 après une période d'inactivité.
	49	+ """
	50	+ wait = self.request_delay - (time.time() - self._last_request)
	51	+ if wait > 0:
	52	+ time.sleep(wait)
	53	+ last_exc: Exception \| None = None
	54	+ for attempt in range(3):
	55	+ try:
	56	+ resp = self.session.get(url, timeout=self.timeout, **kw)
	57	+ self._last_request = time.time()
	58	+ resp.raise_for_status()
	59	+ return resp
	60	+ except (requests.exceptions.ConnectionError,
	61	+ requests.exceptions.ChunkedEncodingError) as exc:
	62	+ last_exc = exc
	63	+ self.session.close() # repartir sur une connexion neuve
	64	+ time.sleep(1.5 * (attempt + 1))
	65	+ self._last_request = time.time()
	66	+ raise last_exc # type: ignore[misc]
	67	+
	68	+ def get_rendered(self, url: str, wait_ms: int = 0) -> str:
	69	+ """Récupère le HTML rendu (JavaScript exécuté) via Firecrawl.
	70	+
	71	+ Nécessite FIRECRAWL_API_KEY dans l'environnement (.env).
	72	+ À utiliser pour les sites SPA ou derrière Cloudflare.
	73	+ """
	74	+ key = os.environ.get("FIRECRAWL_API_KEY")
	75	+ if not key:
	76	+ raise RuntimeError("FIRECRAWL_API_KEY manquant (voir .env)")
	77	+ payload: dict = {"url": url, "formats": ["html"]}
	78	+ if wait_ms:
	79	+ payload["waitFor"] = wait_ms
	80	+ resp = requests.post(
	81	+ FIRECRAWL_API,
	82	+ json=payload,
	83	+ headers={"Authorization": f"Bearer {key}"},
	84	+ timeout=120,
	85	+ )
	86	+ resp.raise_for_status()
	87	+ data = resp.json()
	88	+ return (data.get("data") or {}).get("html", "")
	89	+
	90	+ def get_scrapfly(self, url: str, render_js: bool = False,
	91	+ asp: bool = True) -> str:
	92	+ """Récupère une page via Scrapfly (anti-bot robuste, rendu JS optionnel).
	93	+
	94	+ À privilégier sur Firecrawl quand le site bloque, est lent, ou que le
	95	+ rendu Firecrawl perd de l'information. Nécessite SCRAPFLY_API_KEY.
	96	+ - asp=True : contournement anti-bot (Cloudflare, etc.)
	97	+ - render_js=True : exécute le JavaScript (SPA)
	98	+ """
	99	+ key = os.environ.get("SCRAPFLY_API_KEY")
	100	+ if not key:
	101	+ raise RuntimeError("SCRAPFLY_API_KEY manquant (voir .env)")
	102	+ params = {
	103	+ "key": key,
	104	+ "url": url,
	105	+ "country": "ca",
	106	+ }
	107	+ if asp:
	108	+ params["asp"] = "true"
	109	+ if render_js:
	110	+ params["render_js"] = "true"
	111	+ resp = requests.get(SCRAPFLY_API, params=params, timeout=120)
	112	+ resp.raise_for_status()
	113	+ data = resp.json()
	114	+ result = data.get("result") or {}
	115	+ return result.get("content", "")
	116	+
	117	+ def detail(self, external_id: str, key: str, fetch_fn) -> dict:
	118	+ """Payload « page détail » avec cache : `fetch_fn` n'est appelé que si
	119	+ l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.
	120	+
	121	+ Permet d'extraire les champs riches (description, équipements, VIN…)
	122	+ sans revisiter chaque page détail à chaque synchronisation.
	123	+ `fetch_fn` doit retourner un dict JSON-sérialisable.
	124	+ """
	125	+ if not self.use_detail_cache:
	126	+ return fetch_fn() or {}
	127	+ from .. import db
	128	+ if self._detail_con is None:
	129	+ self._detail_con = db.connect()
	130	+ cached = db.get_cached_detail(self._detail_con, self.source_id,
	131	+ str(external_id), key)
	132	+ if cached is not None:
	133	+ return cached
	134	+ payload = fetch_fn() or {}
	135	+ db.put_cached_detail(self._detail_con, self.source_id,
	136	+ str(external_id), key, payload)
	137	+ return payload
	138	+
	139	+ # -- contrat --------------------------------------------------------------
	140	+ def fetch(self) -> list[Vehicle]:
	141	+ raise NotImplementedError

added apps/auto/autoka/connectors/central_dealers.py +330 −0

		`@@ -0,0 +1,330 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/central_dealers.py : connecteurs des concessionnaires sur la
	5	+# plateforme AMVOQ « Focus 360 / Instavid360 » (thème WordPress
	6	+# `theme_central`, inventaire Vue.js alimenté par un index Solr).
	7	+#
	8	+# Stratégie : le thème expose un endpoint JSON non authentifié
	9	+# /wp-content/themes/theme_central/include/functions/RechercheVoitures.php
	10	+# (exige seulement un en-tête Referer du même site) qui renvoie les
	11	+# documents Solr complets de l'inventaire : gvo_id, année, marque, modèle,
	12	+# sous-modèle, prix, km, transmission, carburant, traction, carrosserie,
	13	+# couleurs, portes, VIN, no d'unité, municipalité/région et 1re photo.
	14	+#
	15	+# La page détail (/vehicule-usage/<slug>/<gvo_id>/, rendue côté serveur,
	16	+# le slug est ignoré par le serveur) complète : galerie photos complète,
	17	+# description, options/équipements, nb de passagers, cylindrée. Ces pages
	18	+# sont mises en cache BD (clé statique v1 : le prix/km frais viennent
	19	+# toujours de l'API liste, le contenu détail est quasi immuable).
	20	+#
	21	+# vehicule_type_i discrimine le type d'inventaire (1 = automobile,
	22	+# 2 = moto, 3 = VR) ; on garde le type 1 + un garde-fou regex sur la
	23	+# catégorie/carrosserie (motoneige, VTT, Classe A/B/C, récréatif…).
	24	+# -----------------------------------------------------------------------------
	25	+from __future__ import annotations
	26	+
	27	+import html as htmllib
	28	+import os
	29	+import re
	30	+
	31	+from ..schema import Vehicle, strip_accents
	32	+from .base import BaseConnector
	33	+
	34	+IMG_HOST = "https://image.autousagee.ca"
	35	+_SEARCH_PATH = ("/wp-content/themes/theme_central/include/functions/"
	36	+ "RechercheVoitures.php")
	37	+
	38	+# catégories / carrosseries qui ne sont PAS des automobiles usagées
	39	+_EXCLUDE_RE = re.compile(
	40	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|\batv\b\|scooter\|spyder\|"
	41	+ r"classe\s*[abc]\b\|recreatif\|roulotte\|remorque\|bateau\|ponton\|"
	42	+ r"tracteur\|souffleuse\|habitation\|\bvr\b\|campeur", re.I)
	43	+
	44	+
	45	+def _slugify(text: str) -> str:
	46	+ """Slug d'URL à la façon du thème (le serveur ne le valide pas)."""
	47	+ t = strip_accents(text or "").lower()
	48	+ t = re.sub(r"[^a-z0-9]+", "-", t)
	49	+ return t.strip("-") or "vehicule"
	50	+
	51	+
	52	+def _clean(text: str \| None) -> str:
	53	+ if not text:
	54	+ return ""
	55	+ out = htmllib.unescape(str(text))
	56	+ return re.sub(r"\s+", " ", out).strip()
	57	+
	58	+
	59	+def _num(value, cast=float):
	60	+ try:
	61	+ v = cast(value)
	62	+ except (TypeError, ValueError):
	63	+ return None
	64	+ return v if v else None
	65	+
	66	+
	67	+class CentralConnector(BaseConnector):
	68	+ """Base commune aux sites `theme_central` (AMVOQ / Instavid360)."""
	69	+
	70	+ base_url: str = ""
	71	+ dealer_name: str = ""
	72	+ city: str = ""
	73	+ request_delay: float = 1.0
	74	+ page_size: int = 200
	75	+
	76	+ # plafond de vraies requêtes détail par sync (AUTOKA_MAX_DETAILS le réduit
	77	+ # pour les tests) — au-delà, le véhicule est émis avec les données liste
	78	+ # seulement et sera enrichi aux syncs suivants.
	79	+ max_details = 400
	80	+
	81	+ # -- API liste (Solr) -------------------------------------------------------
	82	+ def _api_get(self, params: dict) -> dict:
	83	+ url = self.base_url + _SEARCH_PATH
	84	+ headers = {
	85	+ "Referer": f"{self.base_url}/inventaire/",
	86	+ "Accept": "application/json, text/plain, /",
	87	+ }
	88	+ return self.get(url, params=params, headers=headers).json()
	89	+
	90	+ def _api_docs(self) -> list[dict]:
	91	+ docs: list[dict] = []
	92	+ page = 1
	93	+ while page <= 50:
	94	+ data = self._api_get({
	95	+ "order": "alphaASC",
	96	+ "type": 0,
	97	+ "nbCarsPerPage": self.page_size,
	98	+ "currentPage": page,
	99	+ })
	100	+ batch = data.get("data") or []
	101	+ docs.extend(batch)
	102	+ total = int((data.get("meta") or {}).get("numFound") or 0)
	103	+ if not batch or len(docs) >= total:
	104	+ break
	105	+ page += 1
	106	+ return docs
	107	+
	108	+ # -- page détail ------------------------------------------------------------
	109	+ def _fetch_detail(self, url: str) -> dict:
	110	+ from bs4 import BeautifulSoup
	111	+ soup = BeautifulSoup(self.get(url).text, "html.parser")
	112	+ payload: dict = {}
	113	+
	114	+ # galerie photos complète
	115	+ images = []
	116	+ for img in soup.select(".vdp__slider-image img[src]"):
	117	+ src = img["src"]
	118	+ if "autousagee.ca" in src and src not in images:
	119	+ images.append(src)
	120	+ payload["images"] = images[:30]
	121	+
	122	+ # description libre
	123	+ desc = soup.select_one('div[name="description-content"]')
	124	+ if desc:
	125	+ text = _clean(desc.get_text(" "))
	126	+ text = re.sub(r"^DESCRIPTION DU V[ÉE]HICULE\s*", "", text, flags=re.I)
	127	+ payload["description"] = text[:4000]
	128	+
	129	+ # spécifications (label -> valeur)
	130	+ specs: dict[str, str] = {}
	131	+ info = soup.select_one('div[name="informations-content"]')
	132	+ if info:
	133	+ for li in info.select("li"):
	134	+ spans = [_clean(s.get_text()) for s in li.find_all("span")]
	135	+ if len(spans) >= 2 and spans[0] and "--" not in spans[1]:
	136	+ specs[spans[0]] = spans[1]
	137	+ payload["specs"] = specs
	138	+
	139	+ # options / équipements
	140	+ feats = []
	141	+ opts = soup.select_one('div[name="options-content"]')
	142	+ if opts:
	143	+ for li in opts.select("li"):
	144	+ t = _clean(li.get_text(" "))
	145	+ if t and t not in feats:
	146	+ feats.append(t)
	147	+ payload["features"] = feats[:80]
	148	+ return payload
	149	+
	150	+ # -- doc Solr -> Vehicle ------------------------------------------------------
	151	+ def _to_vehicle(self, doc: dict) -> Vehicle \| None:
	152	+ gvo_id = doc.get("vehicule_gvo_id_i")
	153	+ make = _clean(doc.get("vehicule_marque_nom_s"))
	154	+ model = _clean(doc.get("vehicule_modele_s"))
	155	+ if not gvo_id or not (make or model):
	156	+ return None
	157	+
	158	+ year = _num(doc.get("vehicule_annee_i"), int)
	159	+ trim = _clean(doc.get("vehicule_sous_modele_valide_s"))
	160	+ slug = _slugify(f"{make} {model} {year or ''}")
	161	+ url = f"{self.base_url}/vehicule-usage/{slug}/{gvo_id}/"
	162	+
	163	+ price = _num(doc.get("vehicule_prix_d"))
	164	+ km = _num(doc.get("vehicule_km_i"))
	165	+ city = _clean(doc.get("vehicule_municipalite_s")) or self.city
	166	+ body = _clean(doc.get("vehicule_carrosserie_type_s")).split(",")[0]
	167	+
	168	+ photos = doc.get("vehicule_photo_t") or []
	169	+ if isinstance(photos, str):
	170	+ photos = [photos]
	171	+ images = [f"{IMG_HOST}/1024/{p}" for p in photos if isinstance(p, str)]
	172	+
	173	+ details: dict = {}
	174	+ for src_key, out_key in (("vehicule_rabais_d", "rabais"),
	175	+ ("vehicule_categorie_s", "categorie"),
	176	+ ("vehicule_garantie_legal_texte_s", "garantie")):
	177	+ if doc.get(src_key):
	178	+ details[out_key] = doc[src_key]
	179	+
	180	+ title = " ".join(x for x in (make, model, trim, str(year or "")) if x)
	181	+ return Vehicle(
	182	+ source=self.source_id,
	183	+ external_id=str(gvo_id),
	184	+ url=url,
	185	+ title=title,
	186	+ make=make,
	187	+ model=model,
	188	+ trim=trim,
	189	+ year=year,
	190	+ price=price,
	191	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	192	+ mileage_km=km,
	193	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	194	+ transmission=_clean(doc.get("vehicule_transmission_s")),
	195	+ fuel=_clean(doc.get("vehicule_carburant_nom_s")),
	196	+ drivetrain=_clean(doc.get("vehicule_traction_s")),
	197	+ body_type=body,
	198	+ exterior_color=_clean(doc.get("vehicule_couleur_exterieur_s")),
	199	+ interior_color=_clean(doc.get("vehicule_couleur_interieur_s")),
	200	+ engine=_clean(doc.get("vehicule_moteur_s")),
	201	+ doors=_num(doc.get("vehicule_porte_nom_s"), int),
	202	+ vin=_clean(doc.get("vehicule_numero_serie_s")),
	203	+ stock_number=_clean(doc.get("vehicule_numero_unite_s")),
	204	+ dealer_name=self.dealer_name,
	205	+ city=city.title() if city.isupper() else city,
	206	+ region=_clean(doc.get("vehicule_region_s")),
	207	+ details=details,
	208	+ images=images,
	209	+ )
	210	+
	211	+ def _enrich(self, veh: Vehicle, payload: dict) -> None:
	212	+ if payload.get("images"):
	213	+ veh.images = payload["images"][:30]
	214	+ if payload.get("description"):
	215	+ veh.description = payload["description"]
	216	+ if payload.get("features"):
	217	+ veh.features = payload["features"]
	218	+ specs = payload.get("specs") or {}
	219	+ seats = specs.get("Nombre de passagers")
	220	+ if seats and veh.seats is None:
	221	+ veh.seats = _num(seats, int)
	222	+ litres = specs.get("Moteur")
	223	+ cyl = specs.get("Cylindre")
	224	+ if litres and re.fullmatch(r"\d+(\.\d+)?", litres):
	225	+ veh.engine = f"{litres}L" + (f" {cyl} cyl." if cyl else "")
	226	+
	227	+ # -- contrat ------------------------------------------------------------------
	228	+ def fetch(self) -> list[Vehicle]:
	229	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	230	+ vehicles: list[Vehicle] = []
	231	+ real_fetches = 0
	232	+ for doc in self._api_docs():
	233	+ type_i = doc.get("vehicule_type_i")
	234	+ if type_i not in (None, 1): # 2 = moto, 3 = VR
	235	+ continue
	236	+ cat = f"{doc.get('vehicule_categorie_s') or ''} " \
	237	+ f"{doc.get('vehicule_carrosserie_type_s') or ''}"
	238	+ if _EXCLUDE_RE.search(strip_accents(cat)):
	239	+ continue
	240	+ veh = self._to_vehicle(doc)
	241	+ if veh is None:
	242	+ continue
	243	+
	244	+ # enrichissement page détail (galerie, description, options) —
	245	+ # servi du cache BD sauf pour les nouveaux véhicules, dans la
	246	+ # limite du budget de vraies requêtes.
	247	+ if real_fetches < cap:
	248	+ def _fetch(u=veh.url):
	249	+ return self._fetch_detail(u)
	250	+ before = self._last_request
	251	+ try:
	252	+ payload = self.detail(veh.external_id, "v1", _fetch)
	253	+ except Exception:
	254	+ payload = {}
	255	+ if self._last_request != before:
	256	+ real_fetches += 1
	257	+ self._enrich(veh, payload)
	258	+ vehicles.append(veh)
	259	+ return vehicles
	260	+
	261	+
	262	+# ---------------------------------------------------------------------------
	263	+# Concessionnaires (1 sous-classe = 1 source)
	264	+# ---------------------------------------------------------------------------
	265	+
	266	+class DenisAuto(CentralConnector):
	267	+ source_id = "denisauto"
	268	+ base_url = "https://www.denisauto.ca"
	269	+ dealer_name = "Denis Auto"
	270	+ city = "Gatineau"
	271	+
	272	+
	273	+class JRAuto(CentralConnector):
	274	+ source_id = "jrautotr"
	275	+ base_url = "https://www.jrautotr.com"
	276	+ dealer_name = "J.R. Auto"
	277	+ city = "Trois-Rivières"
	278	+
	279	+
	280	+class Autosag(CentralConnector):
	281	+ source_id = "autosag"
	282	+ base_url = "https://www.autosag.com"
	283	+ dealer_name = "Autosag"
	284	+ city = "Chicoutimi"
	285	+
	286	+
	287	+class LeCentreAutoQuebec(CentralConnector):
	288	+ source_id = "lecentreautoquebec"
	289	+ base_url = "https://www.lecentreautoquebec.com"
	290	+ dealer_name = "Le Centre Auto Québec Plus"
	291	+ city = "Québec"
	292	+
	293	+
	294	+class AutoCreditPlus(CentralConnector):
	295	+ source_id = "autocreditplus"
	296	+ base_url = "https://www.autocreditplus.ca"
	297	+ dealer_name = "Auto Crédit Plus"
	298	+ city = "Trois-Rivières"
	299	+
	300	+
	301	+class FleuryAutoGroupe(CentralConnector):
	302	+ source_id = "fleuryautogroupe"
	303	+ base_url = "https://www.fleuryautogroupe.com"
	304	+ dealer_name = "Fleury Auto Groupe"
	305	+ city = "Gatineau"
	306	+
	307	+
	308	+# ---------------------------------------------------------------------------
	309	+# Expansion 3 — Bas-Saint-Laurent et île de Montréal
	310	+# ---------------------------------------------------------------------------
	311	+
	312	+class AutoBSL(CentralConnector):
	313	+ source_id = "autobsl"
	314	+ base_url = "https://www.autobsl.com"
	315	+ dealer_name = "Auto BSL"
	316	+ city = "Rimouski"
	317	+
	318	+
	319	+class AutoXtreme(CentralConnector):
	320	+ source_id = "autoxtreme"
	321	+ base_url = "https://www.autoxtreme.ca"
	322	+ dealer_name = "Auto Xtrême"
	323	+ city = "Montréal"
	324	+
	325	+
	326	+class DAstousAuto(CentralConnector):
	327	+ source_id = "dastousauto"
	328	+ base_url = "https://www.dastousauto.com"
	329	+ dealer_name = "D'Astous Auto"
	330	+ city = "Montréal"

added apps/auto/autoka/connectors/classeauto.py +172 −0

		`@@ -0,0 +1,172 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/classeauto.py : connecteur Classe Auto (classeauto.ca),
	5	+# marchand d'occasion de l'île de Montréal (boul. Industriel,
	6	+# Montréal-Nord/Anjou) — ~140 véhicules.
	7	+#
	8	+# Plateforme : WordPress (thème Astra) + moteur d'inventaire DriveGood
	9	+# (cdn.drivegood.com). Le site expose un export JSON STATIQUE de tout
	10	+# l'inventaire :
	11	+# /wp-content/themes/astra/car_single_page_data/cars_formatted.json
	12	+# — une seule requête pour la liste complète, avec TOUS les champs :
	13	+# prix, km, VIN, stock, transmission, carburant, motricité, carrosserie,
	14	+# couleurs, portes, passagers, moteur, options, photos (cdn.drivegood.com),
	15	+# description. Aucune page détail nécessaire.
	16	+#
	17	+# Filtres de sécurité : vehicle_type_id == 1 (automobile), post_status
	18	+# publish/published, condition != NEW, deleted_at vide.
	19	+# -----------------------------------------------------------------------------
	20	+from __future__ import annotations
	21	+
	22	+import re
	23	+
	24	+from ..schema import Vehicle
	25	+from .base import BaseConnector
	26	+
	27	+_JSON_PATH = "/wp-content/themes/astra/car_single_page_data/cars_formatted.json"
	28	+
	29	+# garde-fou non-automobile (le marchand ne vend que des autos)
	30	+_EXCLUDE_RE = re.compile(
	31	+ r"motoneige\|vtt\|moto\b\|motomarine\|bateau\|roulotte\|remorque\|spyder", re.I)
	32	+
	33	+
	34	+def _s(value) -> str:
	35	+ if value is None:
	36	+ return ""
	37	+ return re.sub(r"\s+", " ", str(value)).strip()
	38	+
	39	+
	40	+def _num(value) -> float \| None:
	41	+ try:
	42	+ f = float(value)
	43	+ except (TypeError, ValueError):
	44	+ return None
	45	+ return f if f > 0 else None
	46	+
	47	+
	48	+def _int(value) -> int \| None:
	49	+ try:
	50	+ return int(str(value))
	51	+ except (TypeError, ValueError):
	52	+ return None
	53	+
	54	+
	55	+class ClasseAuto(BaseConnector):
	56	+ """Classe Auto (Montréal) — inventaire complet en un JSON statique."""
	57	+
	58	+ source_id = "classeauto"
	59	+ base_url = "https://www.classeauto.ca"
	60	+ dealer_name = "Classe Auto"
	61	+ city = "Montréal"
	62	+ request_delay = 1.0
	63	+
	64	+ def fetch(self) -> list[Vehicle]:
	65	+ # cache-buster comme le fait le site (nouvelle valeur par minute)
	66	+ data = self.get(self.base_url + _JSON_PATH).json()
	67	+ vehicles: list[Vehicle] = []
	68	+ for d in data if isinstance(data, list) else []:
	69	+ try:
	70	+ veh = self._to_vehicle(d)
	71	+ except Exception:
	72	+ continue # enregistrement malformé isolé
	73	+ if veh is not None:
	74	+ vehicles.append(veh)
	75	+ return vehicles
	76	+
	77	+ def _to_vehicle(self, d: dict) -> Vehicle \| None:
	78	+ if not isinstance(d, dict):
	79	+ return None
	80	+ if d.get("vehicle_type_id") not in (1, "1", None):
	81	+ return None # 1 = automobile
	82	+ if _s(d.get("post_status")) not in ("publish", "published", ""):
	83	+ return None
	84	+ if d.get("deleted_at"):
	85	+ return None
	86	+ if _s(d.get("condition")).upper() == "NEW":
	87	+ return None # usagé seulement
	88	+
	89	+ ext_id = _s(d.get("vid")) or _s(d.get("ID"))
	90	+ if not ext_id:
	91	+ return None
	92	+
	93	+ make = _s(d.get("maker")).title()
	94	+ model = _s(d.get("model"))
	95	+ trim = _s(d.get("car_trim")) or _s(d.get("car_sub_model"))
	96	+ year = _int(d.get("car_year"))
	97	+ body = _s(d.get("car_body"))
	98	+ if _EXCLUDE_RE.search(f"{make} {model} {body}"):
	99	+ return None
	100	+
	101	+ title = " ".join(x for x in (str(year or ""), make, model, trim) if x)
	102	+
	103	+ price = _num(d.get("car_price"))
	104	+ km = _num(d.get("car_mileage"))
	105	+ unit = _s(d.get("car_mileage_unit")).upper()
	106	+ if km and unit.startswith("MI"):
	107	+ km = round(km * 1.609344)
	108	+
	109	+ slug = _s(d.get("slug"))
	110	+ url = (f"{self.base_url}/cars/{slug}/" if slug
	111	+ else _s(d.get("guid")) or self.base_url)
	112	+
	113	+ images = [u.strip() for u in _s(d.get("photos")).split(",")
	114	+ if u.strip().startswith("http")][:20]
	115	+
	116	+ engine = ""
	117	+ size = _s(d.get("car_engine_size"))
	118	+ cyl = _s(d.get("car_cylinders"))
	119	+ if size:
	120	+ engine = f"{size}L" + (f" {cyl} cyl." if cyl else "")
	121	+
	122	+ features = [f.strip().replace("_", " ")
	123	+ for f in _s(d.get("car_options")).split(",") if f.strip()]
	124	+
	125	+ details: dict = {}
	126	+ if d.get("car_no_accident"):
	127	+ details["no_accident"] = True
	128	+ if d.get("car_one_owner"):
	129	+ details["unique_owner"] = True
	130	+ old_price = _num(d.get("car_old_price"))
	131	+ if old_price and price and old_price > price:
	132	+ details["old_price"] = old_price
	133	+
	134	+ carfax = _s(d.get("carfax_url")) or _s(d.get("carfax_report"))
	135	+ if not carfax: # parfois rangé dans admin_note
	136	+ m = re.search(r"https?://vhr\.carfax\.ca/\S+",
	137	+ _s(d.get("admin_note")))
	138	+ if m:
	139	+ carfax = m.group(0)
	140	+
	141	+ return Vehicle(
	142	+ source=self.source_id,
	143	+ external_id=ext_id,
	144	+ url=url,
	145	+ title=title,
	146	+ make=make,
	147	+ model=model,
	148	+ trim=trim,
	149	+ year=year,
	150	+ price=price,
	151	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	152	+ mileage_km=km,
	153	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	154	+ transmission=_s(d.get("car_transmission")),
	155	+ fuel=_s(d.get("car_fuel_type")),
	156	+ drivetrain=_s(d.get("car_drivetrain")),
	157	+ body_type=body,
	158	+ exterior_color=_s(d.get("car_exterior_color")).title(),
	159	+ interior_color=_s(d.get("car_interrior_color")).title(),
	160	+ engine=engine,
	161	+ doors=_int(d.get("car_doors_count")),
	162	+ seats=_int(d.get("number_of_passengers")),
	163	+ vin=_s(d.get("car_vin")).upper(),
	164	+ stock_number=_s(d.get("stock")),
	165	+ dealer_name=self.dealer_name,
	166	+ city=self.city,
	167	+ description=_s(d.get("post_content"))[:4000],
	168	+ features=features[:60],
	169	+ details=details,
	170	+ images=images,
	171	+ carfax_url=carfax,
	172	+ )

added apps/auto/autoka/connectors/clubautozone.py +133 −0

		`@@ -0,0 +1,133 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/clubautozone.py : Club Auto Zone (Longueuil) — WordPress sur la
	5	+# plateforme Convertus (thème « achilles » + plugin convertus-vms).
	6	+#
	7	+# Stratégie : la page inventaire est une app Vue qui charge les véhicules
	8	+# depuis l'API VMS (vms.prod.convertus.rocks) VIA le proxy PHP du site :
	9	+# /wp-content/plugins/convertus-vms/include/php/ajax-vehicles.php
	10	+# ?endpoint=<URL VMS encodée>&action=vms_data
	11	+# (l'API VMS directe répond 403 ; le proxy du site est la voie officielle).
	12	+# Réponse JSON riche : prix, km, VIN, moteur, couleurs, URL VDP… 30/page.
	13	+# -----------------------------------------------------------------------------
	14	+from __future__ import annotations
	15	+
	16	+import urllib.parse
	17	+
	18	+from ..schema import Vehicle
	19	+from .base import BaseConnector
	20	+
	21	+_VMS_API = "https://vms.prod.convertus.rocks/api/"
	22	+_PROXY = "/wp-content/plugins/convertus-vms/include/php/ajax-vehicles.php"
	23	+
	24	+
	25	+def _num(value) -> float \| None:
	26	+ try:
	27	+ v = float(value)
	28	+ return v if v > 0 else None
	29	+ except (TypeError, ValueError):
	30	+ return None
	31	+
	32	+
	33	+class ClubAutoZone(BaseConnector):
	34	+ source_id = "clubautozone"
	35	+ base_url = "https://www.clubautozone.ca"
	36	+ dealer_name = "Club Auto Zone"
	37	+ city = "Longueuil"
	38	+ inventory_id = 2292 # globalVars.inventoryId du site (cp=…)
	39	+ request_delay: float = 1.0
	40	+
	41	+ def _page(self, pg: int) -> dict:
	42	+ endpoint = (f"{_VMS_API}filtering/?cp={self.inventory_id}"
	43	+ f"&ln=fr&sc=used&pg={pg}&pc=100")
	44	+ url = (f"{self.base_url}{_PROXY}"
	45	+ f"?endpoint={urllib.parse.quote(endpoint, safe='')}"
	46	+ f"&action=vms_data")
	47	+ return self.get(url).json()
	48	+
	49	+ def fetch(self) -> list[Vehicle]:
	50	+ vehicles: list[Vehicle] = []
	51	+ seen: set[str] = set()
	52	+ pg = 1
	53	+ while pg <= 40:
	54	+ data = self._page(pg)
	55	+ results = data.get("results") or []
	56	+ new = 0
	57	+ for d in results:
	58	+ veh = self._to_vehicle(d)
	59	+ if veh is not None and veh.external_id not in seen:
	60	+ seen.add(veh.external_id)
	61	+ vehicles.append(veh)
	62	+ new += 1
	63	+ if not results or new == 0: # page vide ou déjà tout vu
	64	+ break
	65	+ pg += 1
	66	+ return vehicles
	67	+
	68	+ def _to_vehicle(self, d: dict) -> Vehicle \| None:
	69	+ ext_id = str(d.get("vehicle_id") or d.get("ad_id") or "")
	70	+ if not ext_id:
	71	+ return None
	72	+ sale_class = str(d.get("sale_class") or "")
	73	+ if sale_class and "occasion" not in sale_class.lower() \
	74	+ and "used" not in sale_class.lower():
	75	+ return None
	76	+
	77	+ year = d.get("year") if isinstance(d.get("year"), int) else None
	78	+ title = " ".join(str(x) for x in
	79	+ (year, d.get("make"), d.get("model"),
	80	+ d.get("search_trim") or d.get("trim")) if x)
	81	+
	82	+ price = (_num(d.get("final_price")) or _num(d.get("internet_price"))
	83	+ or _num(d.get("asking_price")))
	84	+ km = _num(d.get("odometer"))
	85	+
	86	+ image = d.get("image") or {}
	87	+ images = []
	88	+ if isinstance(image, dict) and image.get("image_original") \
	89	+ and not d.get("placeholder_image"):
	90	+ images = [image["image_original"]]
	91	+
	92	+ try:
	93	+ doors = int(d.get("doors")) or None
	94	+ except (TypeError, ValueError):
	95	+ doors = None
	96	+ try:
	97	+ seats = int(d.get("passenger")) or None
	98	+ except (TypeError, ValueError):
	99	+ seats = None
	100	+
	101	+ details = {k: d[k] for k in ("days_on_lot", "certified", "cylinder",
	102	+ "engine_displacement", "vehicle_class")
	103	+ if d.get(k) not in (None, "", 0)}
	104	+
	105	+ return Vehicle(
	106	+ source=self.source_id,
	107	+ external_id=ext_id,
	108	+ url=str(d.get("vdp_url") or f"{self.base_url}/vehicles/used/"),
	109	+ title=title,
	110	+ make=str(d.get("make") or ""),
	111	+ model=str(d.get("model") or ""),
	112	+ trim=str(d.get("search_trim") or d.get("trim") or ""),
	113	+ year=year,
	114	+ price=price,
	115	+ price_label=(f"{price:,.0f} $".replace(",", " ") if price else ""),
	116	+ mileage_km=km,
	117	+ mileage_label=(f"{km:,.0f} km".replace(",", " ") if km else ""),
	118	+ transmission=str(d.get("transmission") or ""),
	119	+ fuel=str(d.get("fuel_type") or ""),
	120	+ drivetrain=str(d.get("drive_train") or ""),
	121	+ body_type=str(d.get("body_style") or ""),
	122	+ exterior_color=str(d.get("exterior_color") or ""),
	123	+ interior_color=str(d.get("interior_color") or ""),
	124	+ engine=str(d.get("engine") or ""),
	125	+ doors=doors,
	126	+ seats=seats,
	127	+ vin=str(d.get("vin") or ""),
	128	+ stock_number=str(d.get("stock_number") or ""),
	129	+ dealer_name=self.dealer_name,
	130	+ city=self.city,
	131	+ details=details,
	132	+ images=images,
	133	+ )

added apps/auto/autoka/connectors/convertus_fc.py +84 −0

		`@@ -0,0 +1,84 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/convertus_fc.py : concessionnaires WordPress « Convertus »
	5	+# (thème achilles) protégés par Cloudflare — accès via Firecrawl.
	6	+#
	7	+# Même API VMS que clubautozone.py (proxy officiel du site
	8	+# ajax-vehicles.php -> vms.prod.convertus.rocks), mais chaque appel passe
	9	+# par Firecrawl pour franchir Cloudflare. Le JSON revient enveloppé dans
	10	+# un <body> HTML — on l'extrait puis on réutilise le parseur VMS.
	11	+# -----------------------------------------------------------------------------
	12	+from __future__ import annotations
	13	+
	14	+import json
	15	+import re
	16	+import urllib.parse
	17	+
	18	+from ..schema import Vehicle
	19	+from .clubautozone import ClubAutoZone
	20	+
	21	+_VMS_API = "https://vms.prod.convertus.rocks/api/"
	22	+_PROXY = "/wp-content/plugins/convertus-vms/include/php/ajax-vehicles.php"
	23	+
	24	+
	25	+class ConvertusFirecrawlConnector(ClubAutoZone):
	26	+ """Hérite du parseur VMS de ClubAutoZone ; fetch via Firecrawl."""
	27	+
	28	+ source_id = "" # base abstraite : non enregistrée
	29	+ inventory_id = 0
	30	+
	31	+ def _page(self, pg: int) -> dict:
	32	+ endpoint = (f"{_VMS_API}filtering/?cp={self.inventory_id}"
	33	+ f"&ln=fr&sc=used&pg={pg}&pc=100")
	34	+ url = (f"{self.base_url}{_PROXY}"
	35	+ f"?endpoint={urllib.parse.quote(endpoint, safe='')}"
	36	+ f"&action=vms_data")
	37	+ html = self.get_rendered(url)
	38	+ # le JSON est enveloppé dans <body>…</body> par le rendu Firecrawl
	39	+ m = re.search(r"<body[^>]>(.)</body>", html, re.S)
	40	+ payload = (m.group(1) if m else html).strip()
	41	+ try:
	42	+ return json.loads(payload)
	43	+ except ValueError:
	44	+ return {}
	45	+
	46	+ def _resolve_inventory_id(self) -> None:
	47	+ """Lit globalVars.inventoryId sur la page inventaire si inconnu."""
	48	+ if self.inventory_id:
	49	+ return
	50	+ html = self.get_rendered(f"{self.base_url}/vehicles/used/")
	51	+ m = re.search(r'inventoryId"\s:\s"?(\d+)', html)
	52	+ if not m:
	53	+ raise RuntimeError("inventoryId introuvable")
	54	+ self.inventory_id = int(m.group(1))
	55	+
	56	+ def fetch(self) -> list[Vehicle]:
	57	+ if not self.source_id:
	58	+ return []
	59	+ self._resolve_inventory_id()
	60	+ return super().fetch()
	61	+
	62	+
	63	+class BernieresAuto(ConvertusFirecrawlConnector):
	64	+ source_id = "bernieresauto"
	65	+ base_url = "https://www.bernieresauto.com"
	66	+ dealer_name = "Bernières Auto"
	67	+ city = "Saint-Nicolas"
	68	+ inventory_id = 1305
	69	+
	70	+
	71	+class AutoFlash(ConvertusFirecrawlConnector):
	72	+ source_id = "autoflash"
	73	+ base_url = "https://www.autoflash.net"
	74	+ dealer_name = "AutoFlash"
	75	+ city = "Saint-Hubert"
	76	+ inventory_id = 1306
	77	+
	78	+
	79	+class ComplexeAutoPlus(ConvertusFirecrawlConnector):
	80	+ source_id = "complexeautoplus"
	81	+ base_url = "https://www.complexeautoplus.com"
	82	+ dealer_name = "Complexe Auto Plus"
	83	+ city = "Saint-Jérôme"
	84	+ inventory_id = 855

added apps/auto/autoka/connectors/d2c_dealers.py +833 −0

		`@@ -0,0 +1,833 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/d2c_dealers.py : connecteurs des concessionnaires sur plateforme
	5	+# D2C Media (le fournisseur de sites le plus répandu chez les marchands
	6	+# d'occasion au Québec).
	7	+#
	8	+# Stratégie : le sitemap (/fr/sitemap.xml) recense chaque page véhicule
	9	+# (…-id123456.html). Chaque page détail expose un JSON-LD schema.org
	10	+# complet (@type Vehicle/Car) : VIN, kilométrage, transmission, carburant,
	11	+# carrosserie, couleurs, prix, photos. Les pages détail sont mises en cache
	12	+# (clé hebdomadaire) : seuls les nouveaux véhicules — et une revalidation
	13	+# par semaine pour les prix — génèrent de vraies requêtes.
	14	+#
	15	+# Enrichissement (clé de cache v2) — en plus du JSON-LD (qui ne liste que
	16	+# 3 photos, parfois avec des ids corrompus — bug D2C) :
	17	+# - galerie COMPLÈTE : les URLs imagescdn.d2cmedia.ca/<hash>/<dealer>/<id>/
	18	+# <n>/… présentes dans le HTML (préférence à la variante « cb » grand
	19	+# format, sinon « mb »/« s8 »), triées par index de photo ;
	20	+# - endpoint JSON par véhicule /js/json/<id>.json (celui que le JS du site
	21	+# appelle pour révéler la section « Options ») : optionsTextFR (liste
	22	+# d'équipements en français), moteur + cylindre, carprooflink (rapport
	23	+# Carfax direct quand le concessionnaire l'expose) ;
	24	+# - repli équipements : titres des topFeatures/safetyFeatures du blob
	25	+# window.__vdpJSON embarqué dans la page.
	26	+#
	27	+# Le lastmod du sitemap est bumpé quotidiennement par D2C (inutilisable
	28	+# comme clé de cache) — d'où la clé temporelle hebdomadaire.
	29	+# -----------------------------------------------------------------------------
	30	+from __future__ import annotations
	31	+
	32	+import datetime
	33	+import html as htmllib
	34	+import json
	35	+import os
	36	+import re
	37	+
	38	+from ..schema import Vehicle
	39	+from .base import BaseConnector
	40	+
	41	+# segments d'URL /occasion/<segment>/ qui ne sont PAS des automobiles
	42	+_EXCLUDE_SEGMENTS = re.compile(
	43	+ r"motoneige\|vtt\|bateau\|ponton\|motomarine\|moto(?:s)?\b\|roulotte\|remorque\|"
	44	+ r"\bvr\b\|campeur\|tracteur\|souffleuse\|scooter\|spyder\|side\|atv\|snow\|"
	45	+ r"powersport\|nautique\|habitation", re.I)
	46	+
	47	+_VEH_URL_RE = re.compile(r"-id(\d+)\.html?$")
	48	+
	49	+_DRIVE_MAP = {
	50	+ "FrontWheelDriveConfiguration": "Traction",
	51	+ "RearWheelDriveConfiguration": "Propulsion",
	52	+ "AllWheelDriveConfiguration": "Intégrale / 4x4",
	53	+ "FourWheelDriveConfiguration": "Intégrale / 4x4",
	54	+}
	55	+
	56	+_LD_RE = re.compile(
	57	+ r'<script type=["\']application/ld\+json["\']>(.*?)</script>', re.S)
	58	+
	59	+# galerie CDN D2C : /<variante(2)+hash>/<dealer>/<idVéhicule>/<indexPhoto>/…
	60	+# (le nom de fichier peut contenir des espaces : « Silverado 1500-2023.jpg »)
	61	+_GALLERY_RE = re.compile(
	62	+ r'(https://imagescdn\.d2cmedia\.ca/'
	63	+ r'([a-z0-9]{2})[a-f0-9]+/\d+/(\d+)/(\d+)/[^"\'<>]+?\.(?:jpe?g\|png\|webp))',
	64	+ re.I)
	65	+
	66	+# variante d'image préférée : cb = grand format (1440px), mb = moyen, s8 = mini
	67	+_IMG_VARIANT_RANK = {"cb": 0, "mb": 1, "s8": 2}
	68	+
	69	+_VDP_JSON_RE = re.compile(r'window\.__vdpJSON\s=\s')
	70	+
	71	+MAX_IMAGES = 25
	72	+
	73	+
	74	+def _extract_gallery(html: str, ext_id: str) -> list[str]:
	75	+ """Galerie complète depuis le HTML, dédupliquée par index de photo,
	76	+ dans l'ordre de la galerie (index croissant), meilleure variante d'abord.
	77	+ """
	78	+ best: dict[int, tuple[int, str]] = {} # index photo -> (rang, url)
	79	+ for url, variant, veh_id, idx in _GALLERY_RE.findall(html):
	80	+ if veh_id != ext_id: # vignettes d'autres véhicules
	81	+ continue
	82	+ try:
	83	+ idx = int(idx)
	84	+ except ValueError:
	85	+ continue
	86	+ rank = _IMG_VARIANT_RANK.get(variant.lower(), 3)
	87	+ if idx not in best or rank < best[idx][0]:
	88	+ best[idx] = (rank, url.replace(" ", "%20"))
	89	+ return [best[i][1] for i in sorted(best)][:MAX_IMAGES]
	90	+
	91	+
	92	+def _extract_vdp_json(html: str) -> dict:
	93	+ """Blob `window.__vdpJSON = {...}` embarqué dans la page (si présent)."""
	94	+ m = _VDP_JSON_RE.search(html)
	95	+ if not m:
	96	+ return {}
	97	+ try:
	98	+ obj, _ = json.JSONDecoder().raw_decode(html, m.end())
	99	+ except ValueError:
	100	+ return {}
	101	+ return obj if isinstance(obj, dict) else {}
	102	+
	103	+
	104	+def _clean(text: str \| None) -> str:
	105	+ """Désencode les entités HTML (souvent doublement encodées chez D2C)."""
	106	+ if not text:
	107	+ return ""
	108	+ out = htmllib.unescape(htmllib.unescape(str(text)))
	109	+ out = re.sub(r"<[^>]+>", " ", out)
	110	+ return re.sub(r"\s{2,}", " ", out).strip()
	111	+
	112	+
	113	+class D2CConnector(BaseConnector):
	114	+ """Base commune aux sites D2C Media. Sous-classes : base_url + ville."""
	115	+
	116	+ base_url: str = ""
	117	+ dealer_name: str = ""
	118	+ city: str = ""
	119	+ request_delay: float = 1.0 # robots.txt D2C demande de la politesse
	120	+ use_firecrawl: bool = False # sites derrière Cloudflare
	121	+
	122	+ # plafond de vraies requêtes détail par sync (AUTOKA_MAX_DETAILS le réduit
	123	+ # pour les tests) — le reste sera complété aux syncs suivants
	124	+ max_details = 600
	125	+
	126	+ def _get_text(self, url: str) -> str:
	127	+ if self.use_firecrawl:
	128	+ return self.get_rendered(url)
	129	+ return self.get(url).text
	130	+
	131	+ # -- sitemap ---------------------------------------------------------------
	132	+ def _vehicle_urls(self) -> list[str]:
	133	+ xml = self._get_text(f"{self.base_url}/fr/sitemap.xml")
	134	+ urls = []
	135	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	136	+ loc = loc.strip()
	137	+ if "/occasion/" not in loc or not _VEH_URL_RE.search(loc):
	138	+ continue
	139	+ # catégorie intermédiaire ? (/occasion/motoneiges/…)
	140	+ path = loc.split("/occasion/", 1)[1]
	141	+ segments = path.split("/")[:-1]
	142	+ if any(_EXCLUDE_SEGMENTS.search(s) for s in segments):
	143	+ continue
	144	+ urls.append(loc)
	145	+ return urls
	146	+
	147	+ # -- page détail -> payload JSON-LD enrichi --------------------------------
	148	+ def _fetch_detail(self, url: str) -> dict:
	149	+ html = self._get_text(url)
	150	+ data: dict = {}
	151	+ for block in _LD_RE.findall(html):
	152	+ try:
	153	+ cand = json.loads(block.strip())
	154	+ except ValueError:
	155	+ continue
	156	+ types = cand.get("@type")
	157	+ types = types if isinstance(types, list) else [types]
	158	+ if "Vehicle" in types or "Car" in types:
	159	+ data = cand
	160	+ break
	161	+ if not data:
	162	+ return {}
	163	+
	164	+ # --- enrichissements (tous optionnels : jamais bloquants) -------------
	165	+ m = _VEH_URL_RE.search(url)
	166	+ ext_id = m.group(1) if m else ""
	167	+
	168	+ try:
	169	+ gallery = _extract_gallery(html, ext_id)
	170	+ except Exception:
	171	+ gallery = []
	172	+ if gallery:
	173	+ data["_gallery"] = gallery
	174	+
	175	+ vdp = {}
	176	+ try:
	177	+ vdp = _extract_vdp_json(html)
	178	+ except Exception:
	179	+ pass
	180	+
	181	+ # endpoint JSON par véhicule : équipements, moteur, lien Carfax
	182	+ extra: dict = {}
	183	+ if ext_id:
	184	+ try:
	185	+ extra = self.get(f"{self.base_url}/js/json/{ext_id}.json").json()
	186	+ if not isinstance(extra, dict):
	187	+ extra = {}
	188	+ except Exception:
	189	+ extra = {}
	190	+
	191	+ features = [_clean(t) for t in (extra.get("optionsTextFR") or [])
	192	+ if isinstance(t, str) and _clean(t)]
	193	+ if not features: # repli : blob __vdpJSON de la page
	194	+ for group in (vdp.get("topFeatures"), vdp.get("safetyFeatures")):
	195	+ for item in group or []:
	196	+ if isinstance(item, dict):
	197	+ t = _clean(item.get("title"))
	198	+ if t and t not in features:
	199	+ features.append(t)
	200	+ if features:
	201	+ data["_features"] = features
	202	+
	203	+ engine = _clean(str(extra.get("moteur") or vdp.get("engine") or ""))
	204	+ # D2C renvoie « N.D. » ou « . L » (véhicules électriques) : rejeter
	205	+ # toute cylindrée sans chiffre
	206	+ if engine.upper() in ("N.D.", "N/A", "ND") or not re.search(r"\d", engine):
	207	+ engine = ""
	208	+ cyl = _clean(str(extra.get("cylindre") or vdp.get("cylinder") or ""))
	209	+ if cyl and cyl.upper() not in ("N.D.", "N/A", "ND", "0"):
	210	+ if cyl.isdigit():
	211	+ # nombre nu (parfois erroné pour les VÉ) : seulement en
	212	+ # complément d'une cylindrée valide, jamais seul
	213	+ if engine:
	214	+ engine = f"{engine} {cyl} cyl."
	215	+ elif cyl.lower() not in engine.lower():
	216	+ engine = f"{engine} {cyl}".strip()
	217	+ if engine:
	218	+ data["_engine"] = engine
	219	+
	220	+ carfax = str(extra.get("carprooflink") or "").strip()
	221	+ if not carfax:
	222	+ cp = vdp.get("carproof")
	223	+ if isinstance(cp, dict):
	224	+ carfax = str(cp.get("link") or "").strip()
	225	+ if carfax.startswith("http"):
	226	+ data["_carfax_url"] = carfax
	227	+
	228	+ return data
	229	+
	230	+ # -- contrat ---------------------------------------------------------------
	231	+ def fetch(self) -> list[Vehicle]:
	232	+ urls = self._vehicle_urls()
	233	+ week = datetime.date.today().isocalendar()
	234	+ # v2 : payloads enrichis (galerie complète, équipements, moteur,
	235	+ # carfax) — le bump force la re-crawl progressive des pages en cache
	236	+ cache_key = f"v2:{week.year}w{week.week}" # revalidation hebdomadaire
	237	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	238	+
	239	+ vehicles: list[Vehicle] = []
	240	+ real_fetches = 0
	241	+ for url in urls:
	242	+ ext_id = _VEH_URL_RE.search(url).group(1)
	243	+
	244	+ def _fetch(u=url):
	245	+ return self._fetch_detail(u)
	246	+
	247	+ # plafond atteint : ne servir que le cache (fetch réel interdit)
	248	+ if real_fetches >= cap:
	249	+ from .. import db
	250	+ if self._detail_con is None:
	251	+ self._detail_con = db.connect()
	252	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	253	+ ext_id, cache_key)
	254	+ if data is None:
	255	+ continue
	256	+ else:
	257	+ before = self._last_request
	258	+ try:
	259	+ data = self.detail(ext_id, cache_key, _fetch)
	260	+ except Exception:
	261	+ # page détail disparue (vendu, sitemap pas encore purgé)
	262	+ # ou erreur ponctuelle : ne jamais bloquer la source
	263	+ if self._last_request != before:
	264	+ real_fetches += 1
	265	+ continue
	266	+ if self._last_request != before: # une vraie requête a eu lieu
	267	+ real_fetches += 1
	268	+ if not data:
	269	+ continue
	270	+ veh = self._to_vehicle(ext_id, url, data)
	271	+ if veh is not None:
	272	+ vehicles.append(veh)
	273	+ return vehicles
	274	+
	275	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	276	+ offers = d.get("offers") or {}
	277	+ price = offers.get("price")
	278	+ try:
	279	+ price = float(price) if price not in (None, "", 0, "0") else None
	280	+ except (TypeError, ValueError):
	281	+ price = None
	282	+
	283	+ odo = d.get("mileageFromOdometer") or {}
	284	+ km = odo.get("value") if isinstance(odo, dict) else odo
	285	+ try:
	286	+ km = float(km) if km not in (None, "") else None
	287	+ except (TypeError, ValueError):
	288	+ km = None
	289	+
	290	+ brand = d.get("brand") or {}
	291	+ make = brand.get("name") if isinstance(brand, dict) else str(brand)
	292	+
	293	+ drive_raw = str(d.get("driveWheelConfiguration") or "")
	294	+ drivetrain = ""
	295	+ for key, canon in _DRIVE_MAP.items():
	296	+ if key in drive_raw:
	297	+ drivetrain = canon
	298	+ break
	299	+
	300	+ year = None
	301	+ if d.get("vehicleModelDate"):
	302	+ try:
	303	+ year = int(str(d["vehicleModelDate"])[:4])
	304	+ except ValueError:
	305	+ pass
	306	+
	307	+ # galerie complète extraite du HTML (payloads v2) de préférence au
	308	+ # JSON-LD (limité à 3 photos, ids parfois corrompus — bug D2C)
	309	+ images = d.get("_gallery") or d.get("image") or []
	310	+ if isinstance(images, str):
	311	+ images = [images]
	312	+
	313	+ title = _clean(d.get("name"))
	314	+ if not title:
	315	+ return None
	316	+
	317	+ return Vehicle(
	318	+ source=self.source_id,
	319	+ external_id=ext_id,
	320	+ url=url,
	321	+ title=title,
	322	+ make=_clean(make),
	323	+ model=_clean(d.get("model")),
	324	+ trim=_clean(d.get("vehicleConfiguration")),
	325	+ year=year,
	326	+ price=price,
	327	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	328	+ mileage_km=km,
	329	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	330	+ transmission=_clean(d.get("vehicleTransmission")),
	331	+ fuel=_clean(d.get("fuelType")),
	332	+ drivetrain=drivetrain,
	333	+ body_type=_clean(d.get("bodyType")),
	334	+ exterior_color=_clean(d.get("color")),
	335	+ interior_color=_clean(d.get("vehicleInteriorColor")),
	336	+ doors=d.get("numberOfDoors"),
	337	+ seats=d.get("vehicleSeatingCapacity"),
	338	+ vin=_clean(d.get("vehicleIdentificationNumber")),
	339	+ stock_number=str(d.get("sku") or ""),
	340	+ engine=_clean(d.get("_engine")),
	341	+ dealer_name=self.dealer_name,
	342	+ city=self.city,
	343	+ description=_clean(d.get("description"))[:4000],
	344	+ features=[f for f in (d.get("_features") or [])
	345	+ if isinstance(f, str) and f],
	346	+ images=[u for u in images if isinstance(u, str)][:MAX_IMAGES],
	347	+ carfax_url=str(d.get("_carfax_url") or ""),
	348	+ )
	349	+
	350	+
	351	+# ---------------------------------------------------------------------------
	352	+# Concessionnaires (1 sous-classe = 1 source)
	353	+# ---------------------------------------------------------------------------
	354	+
	355	+class GirardAutos(D2CConnector):
	356	+ source_id = "girardautos"
	357	+ base_url = "https://www.girardautos.ca"
	358	+ dealer_name = "Girard Autos"
	359	+ city = "Trois-Rivières"
	360	+
	361	+
	362	+class ForceOccasion(D2CConnector):
	363	+ source_id = "forceoccasion"
	364	+ base_url = "https://www.forceoccasion.ca"
	365	+ dealer_name = "Force Occasion"
	366	+ city = "Québec"
	367	+
	368	+
	369	+class GervaisAuto(D2CConnector):
	370	+ source_id = "gervaisauto"
	371	+ base_url = "https://www.gervaisauto.com"
	372	+ dealer_name = "Gervais Auto"
	373	+ city = "Shawinigan"
	374	+
	375	+
	376	+class EquipeFormule(D2CConnector):
	377	+ source_id = "equipeformule"
	378	+ base_url = "https://www.equipeformule.com"
	379	+ dealer_name = "Équipe Formule"
	380	+ city = "Rimouski"
	381	+
	382	+
	383	+class AutosEvasion(D2CConnector):
	384	+ source_id = "autosevasion"
	385	+ base_url = "https://www.autosevasion.com"
	386	+ dealer_name = "Autos Évasion"
	387	+ city = "Sherbrooke"
	388	+
	389	+
	390	+class MFerlandAuto(D2CConnector):
	391	+ source_id = "mferlandauto"
	392	+ base_url = "https://www.mferlandauto.com"
	393	+ dealer_name = "M. Ferland Auto"
	394	+ city = "Sherbrooke"
	395	+
	396	+
	397	+class AutosOccasionLD(D2CConnector):
	398	+ source_id = "autosoccasionld"
	399	+ base_url = "https://www.autosoccasions.ca"
	400	+ dealer_name = "Autos Occasion LD"
	401	+ city = "Lévis"
	402	+
	403	+
	404	+class LevisAutos(D2CConnector):
	405	+ source_id = "levisautos"
	406	+ base_url = "https://www.levisautos.com"
	407	+ dealer_name = "Lévis Autos"
	408	+ city = "Lévis"
	409	+
	410	+
	411	+class AutoQuebecLevis(D2CConnector):
	412	+ source_id = "autoquebeclevis"
	413	+ base_url = "https://www.autoquebecoccasionlevis.com"
	414	+ dealer_name = "AutoQuébec Occasion Lévis"
	415	+ city = "Lévis"
	416	+
	417	+
	418	+class AutoQuebecThetford(D2CConnector):
	419	+ source_id = "autoquebectm"
	420	+ base_url = "https://www.autoquebectm.com"
	421	+ dealer_name = "AutoQuébec Occasion Thetford Mines"
	422	+ city = "Thetford Mines"
	423	+
	424	+
	425	+class AbitibiAutoCredit(D2CConnector):
	426	+ source_id = "abitibiautocredit"
	427	+ base_url = "https://www.abitibiautocredit.ca"
	428	+ dealer_name = "Abitibi Auto Crédit"
	429	+ city = "Rouyn-Noranda"
	430	+
	431	+
	432	+class NicolOccasion(D2CConnector):
	433	+ source_id = "nicoloccasion"
	434	+ base_url = "https://www.nicoloccasion.com"
	435	+ dealer_name = "Nicol Occasion"
	436	+ city = "La Sarre"
	437	+
	438	+
	439	+class PoirierOccasion(D2CConnector):
	440	+ source_id = "poirieroccasion"
	441	+ base_url = "https://www.poirieroccasion.com"
	442	+ dealer_name = "Poirier Occasion"
	443	+ city = "Val-d'Or"
	444	+
	445	+
	446	+class AutosStHubert(D2CConnector):
	447	+ source_id = "autosthubert"
	448	+ base_url = "https://www.autosthubert.com"
	449	+ dealer_name = "Auto St-Hubert"
	450	+ city = "Saint-Hubert"
	451	+
	452	+
	453	+class SherbrookeAutoOccasion(D2CConnector):
	454	+ source_id = "sherbrookeautooccasion"
	455	+ base_url = "https://www.sherbrookeautooccasion.com"
	456	+ dealer_name = "Sherbrooke Auto Occasion"
	457	+ city = "Sherbrooke"
	458	+
	459	+
	460	+# ---------------------------------------------------------------------------
	461	+# Expansion 2 — concessionnaires de marque et groupes sur D2C Media
	462	+# (inventaire OCCASION seulement : le sitemap /fr/sitemap.xml ne référence
	463	+# que les pages /occasion/…-idNNN.html ; le neuf vit dans un sitemap séparé)
	464	+# ---------------------------------------------------------------------------
	465	+
	466	+class BernierCrepeau(D2CConnector):
	467	+ source_id = "berniercrepeau"
	468	+ base_url = "https://www.berniercrepeau.com"
	469	+ dealer_name = "Bernier Crépeau"
	470	+ city = "Trois-Rivières"
	471	+
	472	+
	473	+class ChomedeyToyota(D2CConnector):
	474	+ source_id = "chomedeytoyota"
	475	+ base_url = "https://www.chomedeytoyotalaval.ca"
	476	+ dealer_name = "Chomedey Toyota Laval"
	477	+ city = "Laval"
	478	+
	479	+
	480	+class DrummondvilleFord(D2CConnector):
	481	+ source_id = "drummondvilleford"
	482	+ base_url = "https://www.drummondvilleford.com"
	483	+ dealer_name = "Drummondville Ford"
	484	+ city = "Drummondville"
	485	+
	486	+
	487	+class DrummondvilleVW(D2CConnector):
	488	+ source_id = "drummondvillevw"
	489	+ base_url = "https://www.drummondvillevolkswagen.ca"
	490	+ dealer_name = "Drummondville Volkswagen"
	491	+ city = "Drummondville"
	492	+
	493	+
	494	+class DubeChrysler(D2CConnector):
	495	+ source_id = "dubechrysler"
	496	+ base_url = "https://www.dubechrysler.com"
	497	+ dealer_name = "Dubé Chrysler"
	498	+ city = "Rivière-du-Loup"
	499	+
	500	+
	501	+class DuclosLongueuil(D2CConnector):
	502	+ source_id = "ducloslongueuil"
	503	+ base_url = "https://www.ducloschryslerlongueuil.com"
	504	+ dealer_name = "Duclos Longueuil Chrysler"
	505	+ city = "Longueuil"
	506	+
	507	+
	508	+class DynastieHyundai(D2CConnector):
	509	+ source_id = "dynastiehyundai"
	510	+ base_url = "https://www.dynastiehyundai.com"
	511	+ dealer_name = "Dynastie Hyundai"
	512	+ city = "Rouyn-Noranda"
	513	+
	514	+
	515	+class FichaultKia(D2CConnector):
	516	+ source_id = "fichaultkia"
	517	+ base_url = "https://www.fichaultkia.com"
	518	+ dealer_name = "Fichault Kia"
	519	+ city = "Châteauguay"
	520	+
	521	+
	522	+class FordThetford(D2CConnector):
	523	+ source_id = "fordthetford"
	524	+ base_url = "https://www.fordthetford.com"
	525	+ dealer_name = "Ford Thetford"
	526	+ city = "Thetford Mines"
	527	+
	528	+
	529	+class GaspeToyota(D2CConnector):
	530	+ source_id = "gaspetoyota"
	531	+ base_url = "https://www.gaspe-toyota.com"
	532	+ dealer_name = "Gaspé Toyota"
	533	+ city = "Gaspé"
	534	+
	535	+
	536	+class GaspesieHyundai(D2CConnector):
	537	+ source_id = "gaspesiehyundai"
	538	+ base_url = "https://www.gaspesiehyundai.com"
	539	+ dealer_name = "Gaspésie Hyundai"
	540	+ city = "Bonaventure"
	541	+
	542	+
	543	+class GranbyToyota(D2CConnector):
	544	+ source_id = "granbytoyota"
	545	+ base_url = "https://www.granbytoyota.ca"
	546	+ dealer_name = "Granby Toyota"
	547	+ city = "Granby"
	548	+
	549	+
	550	+class GrandPortage(D2CConnector):
	551	+ source_id = "grandportage"
	552	+ base_url = "https://www.grandportageauto.com"
	553	+ dealer_name = "Groupe Grand-Portage"
	554	+ city = "Rivière-du-Loup"
	555	+
	556	+
	557	+class GroupeMotion(D2CConnector):
	558	+ source_id = "groupemotion"
	559	+ base_url = "https://www.groupemotion.com"
	560	+ dealer_name = "Groupe Motion"
	561	+ city = "Longueuil"
	562	+
	563	+
	564	+class GroupePaquin(D2CConnector):
	565	+ source_id = "groupepaquin"
	566	+ base_url = "https://www.groupepaquin.com"
	567	+ dealer_name = "Groupe Paquin"
	568	+ city = "Rouyn-Noranda"
	569	+
	570	+
	571	+class HullHyundai(D2CConnector):
	572	+ source_id = "hullhyundai"
	573	+ base_url = "https://www.hullhyundai.com"
	574	+ dealer_name = "Hull Hyundai"
	575	+ city = "Gatineau"
	576	+
	577	+
	578	+class HyundaiBeauce(D2CConnector):
	579	+ source_id = "hyundaibeauce"
	580	+ base_url = "https://www.hyundaibeauce.com"
	581	+ dealer_name = "Hyundai Beauce"
	582	+ city = "Saint-Georges"
	583	+
	584	+
	585	+class HyundaiDrummondville(D2CConnector):
	586	+ source_id = "hyundaidrummondville"
	587	+ base_url = "https://www.hyundaidrummondville.com"
	588	+ dealer_name = "Hyundai Drummondville"
	589	+ city = "Drummondville"
	590	+
	591	+
	592	+class HyundaiLanaudiere(D2CConnector):
	593	+ source_id = "hyundailanaudiere"
	594	+ base_url = "https://www.hyundailanaudiere.com"
	595	+ dealer_name = "Hyundai Lanaudière"
	596	+ city = "Joliette"
	597	+
	598	+
	599	+class HyundaiLongueuil(D2CConnector):
	600	+ source_id = "hyundailongueuil"
	601	+ base_url = "https://www.hyundailongueuil.com"
	602	+ dealer_name = "Hyundai Longueuil"
	603	+ city = "Longueuil"
	604	+
	605	+
	606	+class HyundaiStJerome(D2CConnector):
	607	+ source_id = "hyundaistjerome"
	608	+ base_url = "https://www.hyundaistjerome.com"
	609	+ dealer_name = "Hyundai St-Jérôme"
	610	+ city = "Mirabel"
	611	+
	612	+
	613	+class JeanDumas(D2CConnector):
	614	+ source_id = "jeandumas"
	615	+ base_url = "https://www.jeandumas.com"
	616	+ dealer_name = "Jean Dumas Multiconcessionnaire"
	617	+ city = "Alma"
	618	+
	619	+
	620	+class JeanDumasFordBC(D2CConnector):
	621	+ source_id = "jeandumasfordbc"
	622	+ base_url = "https://www.jeandumasfordbaiecomeau.com"
	623	+ dealer_name = "Jean Dumas Ford Baie-Comeau"
	624	+ city = "Baie-Comeau"
	625	+
	626	+
	627	+class JeanDumasHondaBC(D2CConnector):
	628	+ source_id = "jeandumashondabc"
	629	+ base_url = "https://www.jeandumashondabaiecomeau.com"
	630	+ dealer_name = "Jean Dumas Honda Baie-Comeau"
	631	+ city = "Baie-Comeau"
	632	+
	633	+
	634	+class JolietteMitsubishi(D2CConnector):
	635	+ source_id = "joliettemitsubishi"
	636	+ base_url = "https://www.joliettemitsubishi.com"
	637	+ dealer_name = "Joliette Mitsubishi"
	638	+ city = "Joliette"
	639	+
	640	+
	641	+class KiaJoliette(D2CConnector):
	642	+ source_id = "kiajoliette"
	643	+ base_url = "https://www.kiajoliette.com"
	644	+ dealer_name = "Kia Joliette"
	645	+ city = "Joliette"
	646	+
	647	+
	648	+class LAmiHonda(D2CConnector):
	649	+ source_id = "lamihonda"
	650	+ base_url = "https://www.lamihonda.com"
	651	+ dealer_name = "L'Ami Honda"
	652	+ city = "Rouyn-Noranda"
	653	+
	654	+
	655	+class LeoAutomobile(D2CConnector):
	656	+ source_id = "leoautomobile"
	657	+ base_url = "https://www.leoautomobile.com"
	658	+ dealer_name = "Léo Automobile"
	659	+ city = "Chicoutimi"
	660	+
	661	+
	662	+class LevisToyota(D2CConnector):
	663	+ source_id = "levistoyota"
	664	+ base_url = "https://www.levistoyota.ca"
	665	+ dealer_name = "Lévis Toyota"
	666	+ city = "Lévis"
	667	+
	668	+
	669	+class LongueuilHonda(D2CConnector):
	670	+ source_id = "longueuilhonda"
	671	+ base_url = "https://www.longueuilhonda.com"
	672	+ dealer_name = "Longueuil Honda"
	673	+ city = "Longueuil"
	674	+
	675	+
	676	+class OlivierChryslerBC(D2CConnector):
	677	+ source_id = "olivierchryslerbc"
	678	+ base_url = "https://www.olivierchryslerbaiecomeau.com"
	679	+ dealer_name = "Olivier Chrysler Baie-Comeau"
	680	+ city = "Baie-Comeau"
	681	+
	682	+
	683	+class StGeorgesGM(D2CConnector):
	684	+ source_id = "stgeorgesgm"
	685	+ base_url = "https://www.stgeorgesgm.ca"
	686	+ dealer_name = "St-Georges Chevrolet Buick GMC"
	687	+ city = "Saint-Georges"
	688	+
	689	+
	690	+class StJeromeMitsubishi(D2CConnector):
	691	+ source_id = "stjeromemitsubishi"
	692	+ base_url = "https://www.stjeromemitsubishi.ca"
	693	+ dealer_name = "St-Jérôme Mitsubishi"
	694	+ city = "Saint-Jérôme"
	695	+
	696	+
	697	+class SubaruVictoriaville(D2CConnector):
	698	+ source_id = "subaruvictoriaville"
	699	+ base_url = "https://www.subaruvictoriaville.ca"
	700	+ dealer_name = "Subaru Victoriaville"
	701	+ city = "Victoriaville"
	702	+
	703	+
	704	+class ToyotaBaieDesChaleurs(D2CConnector):
	705	+ source_id = "toyotabdc"
	706	+ base_url = "https://www.toyotabaiedeschaleurs.com"
	707	+ dealer_name = "Toyota Baie des Chaleurs"
	708	+ city = "Caplan"
	709	+
	710	+
	711	+class TroisRivieresHonda(D2CConnector):
	712	+ source_id = "troisriviereshonda"
	713	+ base_url = "https://www.troisriviereshonda.com"
	714	+ dealer_name = "Trois-Rivières Honda"
	715	+ city = "Trois-Rivières"
	716	+
	717	+
	718	+class TRToyota(D2CConnector):
	719	+ source_id = "trtoyota"
	720	+ base_url = "https://www.trtoyota.ca"
	721	+ dealer_name = "Trois-Rivières Toyota"
	722	+ city = "Trois-Rivières"
	723	+
	724	+
	725	+class VaudreuilVW(D2CConnector):
	726	+ source_id = "vaudreuilvw"
	727	+ base_url = "https://www.vaudreuilvolkswagen.com"
	728	+ dealer_name = "Vaudreuil Volkswagen"
	729	+ city = "Vaudreuil-Dorion"
	730	+
	731	+
	732	+class VWSherbrooke(D2CConnector):
	733	+ source_id = "vwsherbrooke"
	734	+ base_url = "https://www.vwsherbrooke.com"
	735	+ dealer_name = "VW Sherbrooke"
	736	+ city = "Sherbrooke"
	737	+
	738	+
	739	+# ---------------------------------------------------------------------------
	740	+# Expansion 3 — régions sous-couvertes (Québec métro, Charlevoix, Saguenay–
	741	+# Lac-Saint-Jean, Côte-Nord, Bas-Saint-Laurent, Gaspésie)
	742	+#
	743	+# Groupe Olivier : les quatre sites Olivier de Sept-Îles (Ford / Nissan /
	744	+# Chrysler / Occasion) publient EXACTEMENT le même inventaire d'occasion
	745	+# (mêmes ids D2C) — on ne connecte que olivieroccasionseptiles.com. Aucun
	746	+# recoupement avec Olivier Chrysler Baie-Comeau (déjà connecté) ni avec
	747	+# Olivier Hyundai Baie-Comeau.
	748	+# ---------------------------------------------------------------------------
	749	+
	750	+class DupontAutomobile(D2CConnector):
	751	+ source_id = "dupontautomobile"
	752	+ base_url = "https://www.dupontautomobile.com"
	753	+ dealer_name = "Dupont Automobile"
	754	+ city = "Alma"
	755	+
	756	+
	757	+class AlmaHonda(D2CConnector):
	758	+ source_id = "almahonda"
	759	+ base_url = "https://www.almahonda.com"
	760	+ dealer_name = "Alma Honda"
	761	+ city = "Alma"
	762	+
	763	+
	764	+class HondaNewRichmond(D2CConnector):
	765	+ source_id = "hondanewrichmond"
	766	+ base_url = "https://www.hondanewrichmond.com"
	767	+ dealer_name = "Honda New Richmond"
	768	+ city = "New Richmond"
	769	+
	770	+
	771	+class OlivierHyundaiBaieComeau(D2CConnector):
	772	+ source_id = "olivierhyundaibc"
	773	+ base_url = "https://www.olivierhyundaibaiecomeau.com"
	774	+ dealer_name = "Olivier Hyundai Baie-Comeau"
	775	+ city = "Baie-Comeau"
	776	+
	777	+
	778	+class OlivierOccasionSeptIles(D2CConnector):
	779	+ # inventaire commun aux 4 sites Olivier de Sept-Îles (voir note ci-dessus)
	780	+ source_id = "olivieroccasionseptiles"
	781	+ base_url = "https://www.olivieroccasionseptiles.com"
	782	+ dealer_name = "Olivier Occasion Sept-Îles"
	783	+ city = "Sept-Îles"
	784	+
	785	+
	786	+class CharlesbourgToyota(D2CConnector):
	787	+ source_id = "charlesbourgtoyota"
	788	+ base_url = "https://www.charlesbourgtoyota.com"
	789	+ dealer_name = "Charlesbourg Toyota"
	790	+ city = "Québec"
	791	+
	792	+
	793	+class HondaCharlesbourg(D2CConnector):
	794	+ source_id = "hondacharlesbourg"
	795	+ base_url = "https://www.hondacharlesbourg.com"
	796	+ dealer_name = "Honda Charlesbourg"
	797	+ city = "Québec"
	798	+
	799	+
	800	+class KiaBeauport(D2CConnector):
	801	+ source_id = "kiabeauport"
	802	+ base_url = "https://www.kiabeauport.com"
	803	+ dealer_name = "Kia Beauport"
	804	+ city = "Québec"
	805	+
	806	+
	807	+class HondaCharlevoix(D2CConnector):
	808	+ source_id = "hondacharlevoix"
	809	+ base_url = "https://www.hondacharlevoix.com"
	810	+ dealer_name = "Honda Charlevoix"
	811	+ city = "La Malbaie"
	812	+
	813	+
	814	+class HyundaiCharlevoix(D2CConnector):
	815	+ source_id = "hyundaicharlevoix"
	816	+ base_url = "https://www.hyundaicharlevoix.com"
	817	+ dealer_name = "Hyundai Charlevoix"
	818	+ city = "Baie-Saint-Paul"
	819	+
	820	+
	821	+class CharlevoixToyota(D2CConnector):
	822	+ source_id = "charlevoixtoyota"
	823	+ base_url = "https://www.charlevoixtoyota.com"
	824	+ dealer_name = "Charlevoix Toyota"
	825	+ city = "La Malbaie"
	826	+
	827	+
	828	+class AutoVilleneuve(D2CConnector):
	829	+ # concessionnaire Ford d'Amqui (vallée de la Matapédia) — petit inventaire
	830	+ source_id = "autovilleneuve"
	831	+ base_url = "https://www.autovilleneuve.com"
	832	+ dealer_name = "Automobile Villeneuve Amqui"
	833	+ city = "Amqui"

added apps/auto/autoka/connectors/desmeules.py +252 −0

		`@@ -0,0 +1,252 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/desmeules.py : connecteur Desmeules Chrysler (desmeules.ca),
	5	+# gros concessionnaire Chrysler/Dodge/Jeep/RAM de Laval — ~220 véhicules
	6	+# d'occasion.
	7	+#
	8	+# Plateforme : ColdFusion maison + inventaire AutoJini (photos
	9	+# images.autojini.net). La page occasion expose un flux RSS complet :
	10	+# /fr/vehicules-doccasion/?fuseaction=inventory.feedRSS&ajaxCall=1
	11	+# -> un <item> par véhicule : titre (année marque modèle + prix), lien
	12	+# détail (…-v<id>.html), no de stock, VIN, photo, longue description.
	13	+#
	14	+# La page détail complète : kilométrage (detailsMileageData), moteur,
	15	+# transmission/entraînement (microdata) et galerie photos. Elle porte aussi
	16	+# la liste d'équipements AutoJini (« Équipement standard », divs .column :
	17	+# h3 catégorie + ul d'items) dont la section « Transmission & Moteur »
	18	+# contient le carburant (« Essence », « Plug-in électric / gas »…) et la
	19	+# motricité (« Traction Intégrale », « Quatre roues motrices »…), ainsi
	20	+# qu'une boîte « Catégorie » (Car/VUS/SUV/Truck) pour la carrosserie.
	21	+# Ces pages sont mises en cache BD à vie (clé stable — les specs ne
	22	+# changent pas ; le prix frais vient du RSS). AUTOKA_MAX_DETAILS (env)
	23	+# plafonne les vraies requêtes détail par synchronisation.
	24	+# -----------------------------------------------------------------------------
	25	+from __future__ import annotations
	26	+
	27	+import html as htmllib
	28	+import os
	29	+import re
	30	+
	31	+from ..schema import (Vehicle, normalize_body, normalize_drivetrain,
	32	+ normalize_fuel, strip_accents)
	33	+from .base import BaseConnector
	34	+
	35	+_ITEM_RE = re.compile(r"<item>(.*?)</item>", re.S)
	36	+_TITLE_RE = re.compile(r"<title>\s<!\[CDATA\[(.?)\]\]>", re.S)
	37	+_LINK_RE = re.compile(r'href="(https?://[^"]+-v(\d+)\.html)"')
	38	+_STOCK_RE = re.compile(r"Stock #:\s*([^<]+)</div>")
	39	+_VIN_RE = re.compile(r"VIN #:\s*([^<]+)</div>")
	40	+_IMG_RE = re.compile(r'img[^>]*src="([^"]+)"')
	41	+_PRICE_RE = re.compile(r"-\s\$([\d,]+)\s$")
	42	+
	43	+# page détail (la transmission/couleur vient de la meta description :
	44	+# « … - Engine: V8 4.0L Cylinder Engine - Color : . - Transmission: Automatique »)
	45	+_KM_RE = re.compile(r'detailsMileageData">\s([\d,\s]+)\skm', re.I)
	46	+_ENGINE_RE = re.compile(r"Moteur:\s</div>\s<div[^>]>\s([^<]+)", re.S)
	47	+_TRANS_RE = re.compile(r"Transmission:\s([A-Za-zÀ-ÿ][A-Za-zÀ-ÿ ])")
	48	+_DRIVE_RE = re.compile(r"Entra[îi]nement\s:\s<span>\s*([^<]+)", re.I)
	49	+_COLOR_RE = re.compile(r"Color\s:\s([A-Za-zÀ-ÿ][^.<\"]*)[.<\"]")
	50	+_GALLERY_RE = re.compile(
	51	+ r'https?://images\.autojini\.[a-z]+/[^"\s\\<>]+?\.jpg(?!/)', re.I)
	52	+
	53	+# liste d'équipements AutoJini : divs .column (h3 catégorie + ul d'items)
	54	+_FEATURE_SECTION_RE = re.compile(
	55	+ r'<div class="column[^"]">\s<h3>([^<]+)</h3>\s<ul>(.?)</ul>', re.S)
	56	+_LI_RE = re.compile(r"<li>(.*?)</li>", re.S)
	57	+# boîte « Catégorie » (Car / VUS / SUV / Truck…) -> carrosserie
	58	+_CATEGORY_RE = re.compile(
	59	+ r'colorBoxHead">\sCat(?:é\|é)gorie\s</div>'
	60	+ r'.?colorBoxText">(.?)</div>', re.S)
	61	+
	62	+_EXCLUDE_RE = re.compile(
	63	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|scooter\|spyder\|ryker\|"
	64	+ r"can-?am\|ski-?doo\|sea-?doo\|roulotte\|remorque\|\bvr\b\|campeur", re.I)
	65	+
	66	+
	67	+def _clean(text) -> str:
	68	+ if not text:
	69	+ return ""
	70	+ out = htmllib.unescape(str(text))
	71	+ out = re.sub(r"<[^>]+>", " ", out)
	72	+ return re.sub(r"\s+", " ", out).strip()
	73	+
	74	+
	75	+# clé de cache détail stable (bump si le parsing change)
	76	+# v3 : + équipements, carburant/motricité (Transmission & Moteur), carrosserie
	77	+_DETAIL_KEY = "v3"
	78	+
	79	+
	80	+class DesmeulesChrysler(BaseConnector):
	81	+ """Desmeules Chrysler — flux RSS inventaire + pages détail (km, specs)."""
	82	+
	83	+ source_id = "desmeules"
	84	+ base_url = "https://www.desmeules.ca"
	85	+ dealer_name = "Desmeules Chrysler"
	86	+ city = "Laval"
	87	+ request_delay = 1.0
	88	+ max_details = 300 # plafond de vraies requêtes par sync
	89	+
	90	+ # -- flux RSS ----------------------------------------------------------------
	91	+ def _rss_items(self) -> list[dict]:
	92	+ xml = self.get(
	93	+ f"{self.base_url}/fr/vehicules-doccasion/"
	94	+ "?fuseaction=inventory.feedRSS&ajaxCall=1").text
	95	+ items: list[dict] = []
	96	+ for chunk in _ITEM_RE.findall(xml):
	97	+ link = _LINK_RE.search(chunk)
	98	+ if not link:
	99	+ continue
	100	+ entry: dict = {"url": link.group(1).replace("http://", "https://"),
	101	+ "id": link.group(2)}
	102	+ m = _TITLE_RE.search(chunk)
	103	+ title = _clean(m.group(1)) if m else ""
	104	+ m = _PRICE_RE.search(title)
	105	+ if m:
	106	+ entry["price"] = float(m.group(1).replace(",", ""))
	107	+ title = title[:m.start()].strip()
	108	+ title = re.sub(r"^For Sale\s+", "", title, flags=re.I)
	109	+ entry["title"] = title
	110	+ m = _STOCK_RE.search(chunk)
	111	+ if m:
	112	+ entry["stock"] = _clean(m.group(1))
	113	+ m = _VIN_RE.search(chunk)
	114	+ if m:
	115	+ entry["vin"] = _clean(m.group(1))
	116	+ m = _IMG_RE.search(chunk)
	117	+ if m:
	118	+ entry["photo"] = m.group(1).split("/Resize")[0]
	119	+ # description longue : le 2e bloc CDATA de la description
	120	+ blocks = re.findall(r"<!\[CDATA\[(.*?)\]\]>", chunk, re.S)
	121	+ if len(blocks) >= 3:
	122	+ entry["description"] = _clean(blocks[2])[:4000]
	123	+ items.append(entry)
	124	+ return items
	125	+
	126	+ # -- page détail -> payload ---------------------------------------------------
	127	+ def _fetch_detail(self, url: str) -> dict:
	128	+ html = self.get(url).text
	129	+ payload: dict = {}
	130	+ m = _KM_RE.search(html)
	131	+ if m:
	132	+ payload["km"] = float(re.sub(r"[^\d]", "", m.group(1)))
	133	+ m = _ENGINE_RE.search(html)
	134	+ if m:
	135	+ payload["engine"] = _clean(m.group(1))
	136	+ m = _TRANS_RE.search(html)
	137	+ if m:
	138	+ payload["transmission"] = _clean(m.group(1))
	139	+ m = _DRIVE_RE.search(html)
	140	+ if m:
	141	+ payload["drivetrain"] = _clean(m.group(1))
	142	+ m = _COLOR_RE.search(html)
	143	+ if m:
	144	+ payload["color"] = _clean(m.group(1))
	145	+
	146	+ # boîte « Catégorie » -> carrosserie canonique (Car reste ambigu)
	147	+ m = _CATEGORY_RE.search(html)
	148	+ if m:
	149	+ body = normalize_body(_clean(m.group(1)))
	150	+ if body:
	151	+ payload["body"] = body
	152	+
	153	+ # équipements par catégorie ; « Transmission & Moteur » porte le
	154	+ # carburant et la motricité, absents partout ailleurs
	155	+ features: list[str] = []
	156	+ for head, ul in _FEATURE_SECTION_RE.findall(html):
	157	+ items = [_clean(li) for li in _LI_RE.findall(ul)]
	158	+ items = [it for it in items if it]
	159	+ features.extend(items)
	160	+ if not strip_accents(head).lower().startswith("transmission"):
	161	+ continue
	162	+ for it in items:
	163	+ if "fuel" not in payload:
	164	+ fuel = normalize_fuel(it)
	165	+ if fuel:
	166	+ payload["fuel"] = fuel
	167	+ if "drivetrain" not in payload:
	168	+ low = strip_accents(it).lower()
	169	+ if "quatre roues" in low or "4 roues" in low:
	170	+ payload["drivetrain"] = "Intégrale / 4x4"
	171	+ elif "controle" not in low: # « Contrôle de traction »
	172	+ drive = normalize_drivetrain(it)
	173	+ if drive:
	174	+ payload["drivetrain"] = drive
	175	+ if features:
	176	+ payload["features"] = features[:60]
	177	+
	178	+ images, seen = [], set()
	179	+ for u in _GALLERY_RE.findall(html):
	180	+ base = u.replace("_x.jpg", ".jpg")
	181	+ if base not in seen:
	182	+ seen.add(base)
	183	+ images.append(base)
	184	+ payload["images"] = images[:20]
	185	+ return payload
	186	+
	187	+ # -- contrat ---------------------------------------------------------------
	188	+ def fetch(self) -> list[Vehicle]:
	189	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	190	+ vehicles: list[Vehicle] = []
	191	+ real_fetches = 0
	192	+ for item in self._rss_items():
	193	+ if _EXCLUDE_RE.search(item.get("title", "")):
	194	+ continue
	195	+ detail: dict = {}
	196	+ if real_fetches >= cap: # plafond : cache seulement
	197	+ from .. import db
	198	+ if self._detail_con is None:
	199	+ self._detail_con = db.connect()
	200	+ detail = db.get_cached_detail(self._detail_con, self.source_id,
	201	+ item["id"], _DETAIL_KEY) or {}
	202	+ else:
	203	+ def _fetch(u=item["url"]):
	204	+ return self._fetch_detail(u)
	205	+ before = self._last_request
	206	+ try:
	207	+ detail = self.detail(item["id"], _DETAIL_KEY, _fetch)
	208	+ except Exception:
	209	+ detail = {} # page disparue : données RSS
	210	+ if self._last_request != before:
	211	+ real_fetches += 1
	212	+ veh = self._to_vehicle(item, detail or {})
	213	+ if veh is not None:
	214	+ vehicles.append(veh)
	215	+ return vehicles
	216	+
	217	+ # -- item RSS + détail -> Vehicle ----------------------------------------------
	218	+ def _to_vehicle(self, item: dict, detail: dict) -> Vehicle \| None:
	219	+ title = item.get("title") or ""
	220	+ if not title:
	221	+ return None
	222	+
	223	+ price = item.get("price")
	224	+ km = detail.get("km")
	225	+
	226	+ images = list(detail.get("images") or [])
	227	+ if not images and item.get("photo"):
	228	+ images = [item["photo"]]
	229	+
	230	+ return Vehicle(
	231	+ source=self.source_id,
	232	+ external_id=item["id"],
	233	+ url=item["url"],
	234	+ title=title, # « 2021 Aston Martin DBX … »
	235	+ price=price,
	236	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	237	+ mileage_km=km,
	238	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	239	+ transmission=detail.get("transmission", ""),
	240	+ fuel=detail.get("fuel", ""),
	241	+ drivetrain=detail.get("drivetrain", ""),
	242	+ body_type=detail.get("body", ""),
	243	+ exterior_color=detail.get("color", ""),
	244	+ engine=detail.get("engine", ""),
	245	+ vin=item.get("vin", ""),
	246	+ stock_number=item.get("stock", ""),
	247	+ dealer_name=self.dealer_name,
	248	+ city=self.city,
	249	+ description=item.get("description", ""),
	250	+ features=list(detail.get("features") or []),
	251	+ images=images,
	252	+ )

added apps/auto/autoka/connectors/dupontford.py +157 −0

		`@@ -0,0 +1,157 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/dupontford.py : connecteur Dupont & Dupont Ford
	5	+# (dupontdupontford.com), concessionnaire Ford de Gatineau.
	6	+#
	7	+# Plateforme : WordPress + thème Leadbox « lbx-egypt » (SPA Vue pour
	8	+# l'inventaire). Le SPA charge un export JSON statique complet :
	9	+# /wp-content/uploads/data/inventory.json -> {"vehicles": [...]} où chaque
	10	+# véhicule est COMPLET : condition (New/Used), année, marque, modèle,
	11	+# version, prix, km, VIN, stock, transmission, rouage, carburant,
	12	+# carrosserie, moteur, couleur, photo, description. UNE seule requête pour
	13	+# tout l'inventaire — on filtre condition == Used (voitures seulement).
	14	+#
	15	+# URL détail reconstruite comme dans le sitemap inventory.xml :
	16	+# /vue/used-<année>-<marque>-<modèle>-<id>/.
	17	+# -----------------------------------------------------------------------------
	18	+from __future__ import annotations
	19	+
	20	+import html as htmllib
	21	+import re
	22	+
	23	+from ..schema import Vehicle, strip_accents
	24	+from .base import BaseConnector
	25	+
	26	+_EXCLUDE_RE = re.compile(
	27	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|scooter\|spyder\|ryker\|"
	28	+ r"can-?am\|ski-?doo\|sea-?doo\|roulotte\|remorque\|\bvr\b\|campeur\|trailer",
	29	+ re.I)
	30	+
	31	+
	32	+def _slug(text: str) -> str:
	33	+ t = strip_accents(str(text or "")).lower()
	34	+ t = re.sub(r"[^a-z0-9]+", "-", t)
	35	+ return t.strip("-")
	36	+
	37	+
	38	+def _clean(text) -> str:
	39	+ if not text:
	40	+ return ""
	41	+ out = htmllib.unescape(str(text))
	42	+ out = re.sub(r"<[^>]+>", " ", out)
	43	+ return re.sub(r"\s{2,}", " ", out).strip()
	44	+
	45	+
	46	+def _num(value, cast=float):
	47	+ try:
	48	+ v = cast(value)
	49	+ except (TypeError, ValueError):
	50	+ return None
	51	+ return v if v else None
	52	+
	53	+
	54	+class DupontDupontFord(BaseConnector):
	55	+ """Dupont & Dupont Ford — export JSON Leadbox (inventory.json)."""
	56	+
	57	+ source_id = "dupontdupontford"
	58	+ base_url = "https://dupontdupontford.com"
	59	+ dealer_name = "Dupont & Dupont Ford"
	60	+ city = "Gatineau"
	61	+ request_delay = 1.0
	62	+ use_detail_cache = False # une seule requête, pas de pages détail
	63	+
	64	+ def fetch(self) -> list[Vehicle]:
	65	+ data = self.get(
	66	+ f"{self.base_url}/wp-content/uploads/data/inventory.json").json()
	67	+ vehicles: list[Vehicle] = []
	68	+ for d in data.get("vehicles") or []:
	69	+ veh = self._to_vehicle(d)
	70	+ if veh is not None:
	71	+ vehicles.append(veh)
	72	+ return vehicles
	73	+
	74	+ def _to_vehicle(self, d: dict) -> Vehicle \| None:
	75	+ if str(d.get("condition") or "").lower() != "used":
	76	+ return None # occasion seulement
	77	+ if d.get("nonvehicle") or d.get("onweb") is False:
	78	+ return None
	79	+ if d.get("salepending") or d.get("sold"):
	80	+ return None
	81	+ if str(d.get("kind") or "car").lower() != "car":
	82	+ return None
	83	+
	84	+ ext_id = str(d.get("id") or "")
	85	+ make = _clean(d.get("make"))
	86	+ model = _clean(d.get("model"))
	87	+ if not ext_id or not (make or model):
	88	+ return None
	89	+ body = _clean(d.get("bodystyle") or d.get("type"))
	90	+ if _EXCLUDE_RE.search(f"{make} {model} {body}"):
	91	+ return None
	92	+
	93	+ year = _num(d.get("year"), int)
	94	+ trim = _clean(d.get("trim"))
	95	+ title = " ".join(str(x) for x in (make, model, trim, year or "") if x)
	96	+
	97	+ url = (f"{self.base_url}/vue/used-{year or ''}-"
	98	+ f"{_slug(make)}-{_slug(model)}-{ext_id}/")
	99	+
	100	+ price = _num(d.get("specialprice")) or _num(d.get("price")) \
	101	+ or _num(d.get("saleprice"))
	102	+ km = _num(d.get("mileage"))
	103	+
	104	+ images = []
	105	+ if d.get("picture"):
	106	+ images = [str(d["picture"])]
	107	+ media = d.get("media")
	108	+ if isinstance(media, list):
	109	+ for u in media:
	110	+ if isinstance(u, str) and u not in images:
	111	+ images.append(u)
	112	+ elif isinstance(u, dict):
	113	+ link = u.get("url") or u.get("src")
	114	+ if link and link not in images:
	115	+ images.append(str(link))
	116	+
	117	+ details: dict = {}
	118	+ for key, out in (("certified", "certified"), ("demo", "demo"),
	119	+ ("asis", "as_is")):
	120	+ if d.get(key):
	121	+ details[out] = True
	122	+ if d.get("carprooflink"):
	123	+ carfax = str(d["carprooflink"])
	124	+ else:
	125	+ carfax = ""
	126	+ if d.get("rebatesamount"):
	127	+ details["rebates"] = d["rebatesamount"]
	128	+
	129	+ return Vehicle(
	130	+ source=self.source_id,
	131	+ external_id=ext_id,
	132	+ url=url,
	133	+ title=title,
	134	+ make=make,
	135	+ model=model,
	136	+ trim=trim,
	137	+ year=year,
	138	+ price=price,
	139	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	140	+ mileage_km=km,
	141	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	142	+ transmission=_clean(d.get("transmission")),
	143	+ fuel=_clean(d.get("fueltype")),
	144	+ drivetrain=_clean(d.get("drivetrain")),
	145	+ body_type=body,
	146	+ exterior_color=_clean(d.get("exteriorcolor")),
	147	+ engine=_clean(d.get("engine")),
	148	+ seats=_num(d.get("seats"), int),
	149	+ vin=_clean(d.get("vin")),
	150	+ stock_number=_clean(d.get("stocknumber")),
	151	+ dealer_name=self.dealer_name,
	152	+ city=self.city,
	153	+ description=_clean(d.get("description"))[:4000],
	154	+ details=details,
	155	+ images=images[:20],
	156	+ carfax_url=carfax,
	157	+ )

added apps/auto/autoka/connectors/gatsby_dealers.py +180 −0

		`@@ -0,0 +1,180 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/gatsby_dealers.py : connecteurs des concessionnaires de marque
	5	+# sur la plateforme Gatsby « autoroot.io » (inventaire EvalAuto — Groupe
	6	+# Beaucage : Kia Granby/Drummondville, Mazda Sherbrooke, Mitsubishi et
	7	+# Nissan Drummondville, Nissan Victoriaville).
	8	+#
	9	+# Même plateforme que megacentredeliquidation (voir megacentre.py) : chaque
	10	+# véhicule expose /page-data/auto-usage/<slug>/page-data.json -> `usedCar`
	11	+# complet. MAIS contrairement au Méga Centre, le sitemap de ces sites ne
	12	+# référence pas les pages véhicule individuelles — seulement les pages
	13	+# catégorie. L'énumération passe donc par l'API AWS AppSync que le site
	14	+# utilise lui-même côté client : le endpoint GraphQL et la clé x-api-key
	15	+# sont publiés dans siteParameters du page-data de la page liste
	16	+# (/page-data/auto-usage/page-data.json). La requête
	17	+# getUsedCarSearchByRelevanceMultiTable, filtrée par nameDealer, renvoie
	18	+# 30 items/page + nextFilter (curseur) -> tous les slugs.
	19	+#
	20	+# Le reste (cache hebdo des page-data détail, plafond AUTOKA_MAX_DETAILS,
	21	+# usedCar -> Vehicle) est hérité de MegaCentreDeLiquidation.
	22	+# AUTOKA_MAX_PAGES (env) limite la pagination AppSync pour les tests.
	23	+# -----------------------------------------------------------------------------
	24	+from __future__ import annotations
	25	+
	26	+import json
	27	+import os
	28	+import time
	29	+
	30	+from .megacentre import MegaCentreDeLiquidation
	31	+
	32	+_QUERY_NAME = "getUsedCarSearchByRelevanceMultiTable"
	33	+
	34	+# champs minimaux : on ne veut que les slugs (le détail vient du page-data)
	35	+_ITEM_FIELDS = "{ nextFilter items { id slug nameDealer } }"
	36	+
	37	+
	38	+class GatsbyEvalAutoConnector(MegaCentreDeLiquidation):
	39	+ """Base des sites Gatsby autoroot/EvalAuto sans sitemap véhicule."""
	40	+
	41	+ source_id = "" # base non enregistrée par le registre
	42	+ base_url = ""
	43	+ dealer_name = ""
	44	+ city = ""
	45	+ request_delay = 1.0
	46	+ max_details = 300
	47	+ max_aws_pages = 60 # garde-fou dur (60 x 30 = 1 800 véh.)
	48	+
	49	+ # -- POST GraphQL poli ----------------------------------------------------
	50	+ def _post_json(self, url: str, payload: dict, headers: dict) -> dict:
	51	+ wait = self.request_delay - (time.time() - self._last_request)
	52	+ if wait > 0:
	53	+ time.sleep(wait)
	54	+ resp = self.session.post(url, json=payload, headers=headers,
	55	+ timeout=self.timeout)
	56	+ self._last_request = time.time()
	57	+ resp.raise_for_status()
	58	+ return resp.json()
	59	+
	60	+ @staticmethod
	61	+ def _gql(dealer: str, next_item: str \| None) -> str:
	62	+ nxt = f', usedCarNextItem:"{next_item}"' if next_item else ""
	63	+ return f"""
	64	+ {{
	65	+ {_QUERY_NAME}(order: "DESC",
	66	+ searchValue: "",
	67	+ maxPrice: 1000000,
	68	+ minPrice: 0,
	69	+ maxYear: 2035,
	70	+ minYear: 1900,
	71	+ brand: [],
	72	+ model: [],
	73	+ nameDealer: {json.dumps([dealer])},
	74	+ extColor: [],
	75	+ drivetrain: [],
	76	+ passengers: [],
	77	+ engine: [],
	78	+ bodytype: [],
	79	+ transmission: [],
	80	+ certified: [true,false],
	81	+ discount: [true,false],
	82	+ prestige: [true,false]
	83	+ {nxt})
	84	+ {_ITEM_FIELDS}
	85	+ }}
	86	+ """
	87	+
	88	+ # -- énumération des slugs via la page liste + AppSync ---------------------
	89	+ def _vehicle_slugs(self) -> list[str]:
	90	+ data = self.get(
	91	+ f"{self.base_url}/page-data/auto-usage/page-data.json").json()
	92	+ result = data.get("result") or {}
	93	+ params = (result.get("data") or {}).get("siteParameters") or {}
	94	+ context = result.get("pageContext") or {}
	95	+
	96	+ # les 30 premiers véhicules sont pré-rendus dans le pageContext
	97	+ slugs = {str(c.get("slug")) for c in context.get("allUsedCar") or []
	98	+ if c.get("slug")}
	99	+
	100	+ endpoint = str(params.get("awsEndpoint") or "")
	101	+ token = str(params.get("awsToken") or "")
	102	+ dealer = str(params.get("awsDealerNameFilter")
	103	+ or context.get("nameDealer") or self.dealer_name)
	104	+ if not endpoint or not token: # repli : pré-rendu seulement
	105	+ return sorted(slugs)
	106	+
	107	+ cap = min(int(os.environ.get("AUTOKA_MAX_PAGES", self.max_aws_pages)),
	108	+ self.max_aws_pages)
	109	+ headers = {"x-api-key": token, "Content-Type": "application/json"}
	110	+ next_item: str \| None = None
	111	+ for _ in range(cap):
	112	+ try:
	113	+ resp = self._post_json(endpoint,
	114	+ {"query": self._gql(dealer, next_item)},
	115	+ headers)
	116	+ except Exception:
	117	+ break # AppSync HS -> pré-rendu
	118	+ payload = (resp.get("data") or {}).get(_QUERY_NAME) or {}
	119	+ items = payload.get("items") or []
	120	+ for item in items:
	121	+ slug = str(item.get("slug") or "")
	122	+ if slug:
	123	+ slugs.add(slug)
	124	+ next_item = payload.get("nextFilter")
	125	+ if not items or not next_item:
	126	+ break
	127	+ return sorted(slugs)
	128	+
	129	+ # -- usedCar -> Vehicle (ville de repli) -----------------------------------
	130	+ def _to_vehicle(self, slug, d):
	131	+ veh = super()._to_vehicle(slug, d)
	132	+ if veh is not None and not veh.city:
	133	+ veh.city = self.city
	134	+ return veh
	135	+
	136	+
	137	+# ---------------------------------------------------------------------------
	138	+# Concessionnaires (1 sous-classe = 1 source) — Groupe Beaucage
	139	+# ---------------------------------------------------------------------------
	140	+
	141	+class KiaGranby(GatsbyEvalAutoConnector):
	142	+ source_id = "kiagranby"
	143	+ base_url = "https://www.kiagranby.com"
	144	+ dealer_name = "Kia de Granby"
	145	+ city = "Granby"
	146	+
	147	+
	148	+class KiaDrummondville(GatsbyEvalAutoConnector):
	149	+ source_id = "kiadrummondville"
	150	+ base_url = "https://www.kiadrummondville.com"
	151	+ dealer_name = "Kia Drummondville"
	152	+ city = "Drummondville"
	153	+
	154	+
	155	+class MazdaDeSherbrooke(GatsbyEvalAutoConnector):
	156	+ source_id = "mazdadesherbrooke"
	157	+ base_url = "https://www.mazdadesherbrooke.com"
	158	+ dealer_name = "Mazda de Sherbrooke"
	159	+ city = "Sherbrooke"
	160	+
	161	+
	162	+class MitsubishiDrummondville(GatsbyEvalAutoConnector):
	163	+ source_id = "mitsubishidrummondville"
	164	+ base_url = "https://www.mitsubishidrummondville.com"
	165	+ dealer_name = "Mitsubishi Drummondville"
	166	+ city = "Drummondville"
	167	+
	168	+
	169	+class NissanDrummondville(GatsbyEvalAutoConnector):
	170	+ source_id = "nissandrummondville"
	171	+ base_url = "https://www.nissandrummondville.com"
	172	+ dealer_name = "Nissan Drummondville"
	173	+ city = "Drummondville"
	174	+
	175	+
	176	+class NissanVictoriaville(GatsbyEvalAutoConnector):
	177	+ source_id = "nissanvictoriaville"
	178	+ base_url = "https://www.nissanvictoriaville.com"
	179	+ dealer_name = "Nissan de Victoriaville"
	180	+ city = "Victoriaville"

added apps/auto/autoka/connectors/hgregoire.py +325 −0

		`@@ -0,0 +1,325 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/hgregoire.py : connecteur HGrégoire (hgregoire.com), la plus
	5	+# grosse chaîne de mégacentres d'occasion au Québec (St-Léonard, Laval,
	6	+# St-Eustache, Saguenay/Chicoutimi, Carbonear/Gaspésie, etc.).
	7	+#
	8	+# Stratégie : la page de résultats /auto-usage?page=N est rendue côté
	9	+# serveur (WordPress custom) et embarque, pour CHAQUE carte véhicule, un
	10	+# <script type="application/json" data-class="Vehicle"> complet :
	11	+# Id, année/marque/modèle/version, prix (CAD), odomètre, VIN, no de stock,
	12	+# transmission, carburant, traction, carrosserie, couleurs, moteur,
	13	+# consommation, photo principale, Permalink ET la succursale du véhicule
	14	+# (FullLocation.city + province). 24 véhicules par page, ~74 pages —
	15	+# AUCUNE page détail nécessaire : ~75 requêtes pour tout l'inventaire.
	16	+#
	17	+# Seules les succursales du QUÉBEC sont conservées (FullLocation.province
	18	+# == "QC") — le groupe opère aussi aux États-Unis (hgreg.com) et un
	19	+# véhicule hors-Québec serait exclu par ce garde-fou.
	20	+#
	21	+# robots.txt demande Crawl-delay: 10 → request_delay élevé (sync complet
	22	+# ≈ 12 min, acceptable pour une synchronisation quotidienne).
	23	+# AUTOKA_MAX_PAGES (env) limite le nombre de pages pour les tests.
	24	+#
	25	+# ENRICHISSEMENT DÉTAIL (galerie + équipements) : la carte liste n'a qu'UNE
	26	+# photo et quelques équipements ; la page détail expose la galerie complète
	27	+# (~25 photos) et l'onglet « Équipements » (~40 items). Avec Crawl-delay: 10
	28	+# un crawl direct des ~1 700 fiches prendrait ~4,7 h → les pages détail
	29	+# passent par SCRAPFLY (requêtes gérées par leur infra, non soumises au
	30	+# crawl-delay de notre IP). Cache BD à vie (clé stable « v1 » — la galerie
	31	+# et les équipements ne changent pas), plafond AUTOKA_MAX_DETAILS (défaut
	32	+# 300/sync) : l'inventaire complet s'enrichit en ~6 synchronisations.
	33	+# Le véhicule est toujours émis avec les données liste même sans détail.
	34	+# -----------------------------------------------------------------------------
	35	+from __future__ import annotations
	36	+
	37	+import json
	38	+import os
	39	+import re
	40	+
	41	+from ..normalize import MAKES
	42	+from ..schema import Vehicle, strip_accents
	43	+from .base import BaseConnector
	44	+
	45	+_MAKE_WORDS = {strip_accents(m).lower() for m in MAKES}
	46	+
	47	+_BLOB_RE = re.compile(
	48	+ r'<script type="application/json" data-class="Vehicle"[^>]*>'
	49	+ r'/\<!\[CDATA\[\/(.?)/\\]\]>\*/</script>', re.S)
	50	+_PAGE_RE = re.compile(r'data-page="(\d+)"')
	51	+_DOORS_RE = re.compile(r"(\d+)\s*portes?", re.I)
	52	+# photo de carte 448x252 -> version plus grande servie par le même CDN
	53	+_IMG_SIZE_RE = re.compile(r"/by-size/([^/]+)/\d+x\d+/")
	54	+
	55	+# page détail : galerie (chaque photo répétée en plusieurs tailles),
	56	+# onglet « Équipements » et lien Carfax éventuel
	57	+_GALLERY_RE = re.compile( # album parfois alphanumérique (ex. KA8107)
	58	+ r"https://[^\"'\s\\<>]*/photos/by-size/([\w-]+)/\d+x\d+/(\w+)\.(\w+)")
	59	+_EQUIP_TAB_RE = re.compile(
	60	+ r'id="vdptab-equipment"(.*?)(?:show-all-equipment\|</section>)', re.S)
	61	+_EQUIP_ITEM_RE = re.compile(r"<span>\s([^<]+?)\s</span>")
	62	+_CARFAX_RE = re.compile(
	63	+ r'https?://[^"\'\s<>]carfax[^"\'\s<>]', re.I)
	64	+
	65	+# clé de cache détail stable (bump si le parsing change)
	66	+_DETAIL_KEY = "v1"
	67	+
	68	+MILE_KM = 1.609344
	69	+
	70	+
	71	+# bannières du groupe qui ne sont pas des noms de ville
	72	+_BANNER_CITY = {
	73	+ "ineos grenadier": "Montréal", # INEOS Grenadier Montréal
	74	+ "le prix du gros": "Trois-Rivières", # Méga centre d'occasion Le Prix du Gros
	75	+}
	76	+
	77	+
	78	+def _clean_city(raw: str) -> str:
	79	+ """Succursale -> ville : « Kia Vaudreuil » -> « Vaudreuil »,
	80	+ « Nissan St-Eustache » -> « St-Eustache » (certaines succursales du
	81	+ groupe sont des bannières de marque ; on retire le préfixe de marque)."""
	82	+ banner = _BANNER_CITY.get(strip_accents(raw or "").lower().strip())
	83	+ if banner:
	84	+ return banner
	85	+ words = (raw or "").split()
	86	+ while len(words) > 1 and strip_accents(words[0]).lower() in _MAKE_WORDS:
	87	+ words = words[1:]
	88	+ return " ".join(words)
	89	+
	90	+
	91	+class HGregoire(BaseConnector):
	92	+ """HGrégoire — inventaire usagé complet via les pages liste (SRP)."""
	93	+
	94	+ source_id = "hgregoire"
	95	+ base_url = "https://www.hgregoire.com"
	96	+ dealer_name = "HGrégoire"
	97	+ request_delay = 10.0 # robots.txt : Crawl-delay: 10
	98	+ max_pages = 200 # garde-fou dur (~74 pages réelles)
	99	+ max_details = 300 # plafond de requêtes Scrapfly / sync
	100	+
	101	+ # -- pages liste ------------------------------------------------------
	102	+ def _list_html(self, page: int) -> str:
	103	+ url = f"{self.base_url}/auto-usage"
	104	+ if page > 1:
	105	+ url += f"?page={page}"
	106	+ return self.get(url).text
	107	+
	108	+ def _parse_blobs(self, html: str) -> list[dict]:
	109	+ out = []
	110	+ for raw in _BLOB_RE.findall(html):
	111	+ try:
	112	+ out.append(json.loads(raw))
	113	+ except ValueError:
	114	+ continue
	115	+ return out
	116	+
	117	+ # -- page détail (via Scrapfly) -> payload -----------------------------
	118	+ def _fetch_detail(self, url: str) -> dict:
	119	+ """Galerie complète + équipements + carfax d'une fiche véhicule.
	120	+
	121	+ Passe par Scrapfly (pas de crawl-delay pour notre IP). Lève une
	122	+ exception si la page ne ressemble pas à une fiche véhicule, pour ne
	123	+ jamais mettre en cache un payload vide issu d'une page d'erreur.
	124	+ """
	125	+ html = self.get_scrapfly(url)
	126	+ payload: dict = {"images": [], "features": []}
	127	+
	128	+ seen: set[str] = set()
	129	+ for album, pid, ext in _GALLERY_RE.findall(html):
	130	+ if pid not in seen: # chaque photo répétée en N tailles
	131	+ seen.add(pid)
	132	+ payload["images"].append(
	133	+ f"https://cfwww.hgregoire.com/photos/by-size/"
	134	+ f"{album}/1010x568/{pid}.{ext}")
	135	+
	136	+ m = _EQUIP_TAB_RE.search(html)
	137	+ if m:
	138	+ feats: list[str] = []
	139	+ for f in _EQUIP_ITEM_RE.findall(m.group(1)):
	140	+ f = " ".join(f.split())
	141	+ if f and f not in feats:
	142	+ feats.append(f)
	143	+ payload["features"] = feats
	144	+
	145	+ m = _CARFAX_RE.search(html)
	146	+ if m:
	147	+ payload["carfax_url"] = m.group(0)
	148	+
	149	+ if not payload["images"] and 'data-class="Vehicle"' not in html:
	150	+ raise RuntimeError(f"page détail HGrégoire illisible : {url}")
	151	+ return payload
	152	+
	153	+ # -- contrat ----------------------------------------------------------
	154	+ def fetch(self) -> list[Vehicle]:
	155	+ cap = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	156	+ detail_cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	157	+ vehicles: list[Vehicle] = []
	158	+ seen: set[str] = set()
	159	+
	160	+ html = self._list_html(1)
	161	+ pages = [int(p) for p in _PAGE_RE.findall(html)]
	162	+ last_page = min(max(pages) if pages else 1, cap, self.max_pages)
	163	+
	164	+ page = 1
	165	+ while True:
	166	+ blobs = self._parse_blobs(html)
	167	+ if not blobs:
	168	+ break
	169	+ new = 0
	170	+ for d in blobs:
	171	+ veh = self._to_vehicle(d)
	172	+ if veh is not None and veh.external_id not in seen:
	173	+ seen.add(veh.external_id)
	174	+ vehicles.append(veh)
	175	+ new += 1
	176	+ page += 1
	177	+ if page > last_page or new == 0:
	178	+ break
	179	+ html = self._list_html(page)
	180	+
	181	+ # enrichissement détail (Scrapfly) — cache BD, budget par sync ;
	182	+ # le véhicule reste émis avec les données liste même sans détail
	183	+ real_fetches = 0
	184	+ for veh in vehicles:
	185	+ detail: dict = {}
	186	+ if real_fetches >= detail_cap:
	187	+ from .. import db
	188	+ if self._detail_con is None:
	189	+ self._detail_con = db.connect()
	190	+ detail = db.get_cached_detail(self._detail_con, self.source_id,
	191	+ veh.external_id,
	192	+ _DETAIL_KEY) or {}
	193	+ else:
	194	+ did_fetch = False
	195	+
	196	+ def _fetch(u=veh.url):
	197	+ nonlocal did_fetch
	198	+ did_fetch = True
	199	+ return self._fetch_detail(u)
	200	+
	201	+ try:
	202	+ detail = self.detail(veh.external_id, _DETAIL_KEY, _fetch)
	203	+ except Exception:
	204	+ detail = {} # détail indisponible : liste suffisante
	205	+ if did_fetch:
	206	+ real_fetches += 1
	207	+ self._apply_detail(veh, detail or {})
	208	+ return vehicles
	209	+
	210	+ @staticmethod
	211	+ def _apply_detail(veh: Vehicle, detail: dict) -> None:
	212	+ images = [u for u in detail.get("images") or [] if isinstance(u, str)]
	213	+ if images:
	214	+ veh.images = images[:30]
	215	+ feats = [f for f in detail.get("features") or [] if isinstance(f, str)]
	216	+ if feats: # union liste + détail, ordre préservé
	217	+ merged = list(veh.features)
	218	+ merged += [f for f in feats if f not in merged]
	219	+ veh.features = merged[:80]
	220	+ if detail.get("carfax_url"):
	221	+ veh.carfax_url = str(detail["carfax_url"])
	222	+
	223	+ # -- carte JSON -> Vehicle ----------------------------------------------
	224	+ def _to_vehicle(self, d: dict) -> Vehicle \| None:
	225	+ if d.get("Sold") or d.get("Deleted") or d.get("IsForSale") is False:
	226	+ return None
	227	+ if str(d.get("Type") or "Used") != "Used": # usagés seulement
	228	+ return None
	229	+
	230	+ loc = d.get("FullLocation") or {}
	231	+ province = (loc.get("province") or "").strip().upper()
	232	+ if province and province != "QC": # succursales US exclues
	233	+ return None
	234	+
	235	+ ext_id = str(d.get("Id") or "").strip()
	236	+ url = d.get("Permalink") or ""
	237	+ if not ext_id or not url:
	238	+ return None
	239	+
	240	+ year = d.get("Year")
	241	+ make = str(d.get("Make") or "").strip()
	242	+ model = str(d.get("Model") or "").strip()
	243	+ title = (d.get("ShortTitle")
	244	+ or " ".join(str(x) for x in (year, make, model) if x)).strip()
	245	+
	246	+ price = d.get("Price")
	247	+ try:
	248	+ price = float(price) if price else None
	249	+ except (TypeError, ValueError):
	250	+ price = None
	251	+
	252	+ km = d.get("Odometer")
	253	+ try:
	254	+ km = float(km) if km not in (None, "") else None
	255	+ except (TypeError, ValueError):
	256	+ km = None
	257	+ if km is not None and str(d.get("OdoUnitCode") or "").upper() == "SMI":
	258	+ km = round(km * MILE_KM) # milles -> km
	259	+
	260	+ # portes / passagers / équipements depuis la liste CarDetails
	261	+ doors = seats = None
	262	+ features: list[str] = []
	263	+ for item in d.get("CarDetails") or []:
	264	+ name = str(item.get("name") or "").strip()
	265	+ value = str(item.get("value") or "").strip()
	266	+ if not value: # équipement pur
	267	+ m = _DOORS_RE.search(name)
	268	+ if m:
	269	+ doors = int(m.group(1))
	270	+ elif name and "Stock" not in name:
	271	+ features.append(name.rstrip(" :"))
	272	+ elif "passagers" in name.lower():
	273	+ try:
	274	+ seats = int(value)
	275	+ except ValueError:
	276	+ pass
	277	+
	278	+ image = d.get("MainImage") or ""
	279	+ if image: # carte 448x252 -> grand
	280	+ image = _IMG_SIZE_RE.sub(r"/by-size/\1/1010x568/", image)
	281	+
	282	+ post = d.get("post") or {}
	283	+ description = str(post.get("post_content") or "")[:4000]
	284	+
	285	+ details: dict = {}
	286	+ if loc.get("city_slug"):
	287	+ details["branch_slug"] = loc["city_slug"]
	288	+ if d.get("Categories"):
	289	+ details["categories"] = d["Categories"]
	290	+ if d.get("HwyMPG"):
	291	+ details["consumption_hwy_l_100km"] = d["HwyMPG"]
	292	+ if d.get("OldPrice"):
	293	+ details["old_price"] = d["OldPrice"]
	294	+
	295	+ return Vehicle(
	296	+ source=self.source_id,
	297	+ external_id=ext_id,
	298	+ url=url,
	299	+ title=title,
	300	+ make=make,
	301	+ model=model,
	302	+ trim=str(d.get("Trim") or "").strip(),
	303	+ year=int(year) if year else None,
	304	+ price=price,
	305	+ price_label=str(d.get("FormattedPrice") or ""),
	306	+ mileage_km=km,
	307	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	308	+ transmission=str(d.get("Transmission") or ""),
	309	+ fuel=str(d.get("Fuel") or ""),
	310	+ drivetrain=str(d.get("DrivetrainType") or ""),
	311	+ body_type=str(d.get("BodyStyle") or ""),
	312	+ exterior_color=str(d.get("ExteriorColor") or ""),
	313	+ interior_color=str(d.get("InteriorColor") or ""),
	314	+ engine=str(d.get("Engine") or ""),
	315	+ doors=doors,
	316	+ seats=seats,
	317	+ vin=str(d.get("VIN") or ""),
	318	+ stock_number=str(d.get("Stock") or ""),
	319	+ dealer_name=self.dealer_name,
	320	+ city=_clean_city(str(loc.get("city") or "").strip()),
	321	+ description=description,
	322	+ features=features,
	323	+ details=details,
	324	+ images=[image] if image else [],
	325	+ )

added apps/auto/autoka/connectors/jlkauto.py +217 −0

		`@@ -0,0 +1,217 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/jlkauto.py : JLK Auto (Montréal) — plateforme EDealer
	5	+# (edealer.ca ; WordPress + inventaire EDealer, CDN media.edealer.ca).
	6	+#
	7	+# Stratégie : le sitemap Yoast `/inventory-listing-sitemap.xml` recense les
	8	+# pages véhicule (…-<token>vdp/) en FR et EN. Chaque page détail (VDP)
	9	+# expose un JSON-LD schema.org @graph avec un nœud @type [Product, Car]
	10	+# complet : prix, VIN, km, transmission, carrosserie, couleurs, moteur.
	11	+# Pages détail mises en cache BD (clé hebdomadaire), comme les sites D2C.
	12	+# -----------------------------------------------------------------------------
	13	+from __future__ import annotations
	14	+
	15	+import datetime
	16	+import json
	17	+import os
	18	+import re
	19	+
	20	+from ..schema import Vehicle
	21	+from .base import BaseConnector
	22	+
	23	+# …/inventaire/2005-chrysler-crossfire-limitee-jGKAbGVgRXus0SSkyI35kgvdp/
	24	+# le token (id EDealer) est le dernier segment alphanumérique SANS tiret :
	25	+# le même véhicule a un slug différent en FR et en EN, mais le même token
	26	+_VDP_RE = re.compile(r"-([A-Za-z0-9]{12,})vdp/?$")
	27	+
	28	+_LD_RE = re.compile(
	29	+ r'<script type=["\']application/ld\+json["\'][^>]>(.?)</script>', re.S)
	30	+
	31	+_DRIVE_MAP = {
	32	+ "FrontWheelDriveConfiguration": "Traction",
	33	+ "RearWheelDriveConfiguration": "Propulsion",
	34	+ "AllWheelDriveConfiguration": "Intégrale / 4x4",
	35	+ "FourWheelDriveConfiguration": "Intégrale / 4x4",
	36	+}
	37	+
	38	+
	39	+def _qty(node) -> float \| None:
	40	+ """QuantitativeValue -> float ; accepte aussi un scalaire nu."""
	41	+ value = node.get("value") if isinstance(node, dict) else node
	42	+ try:
	43	+ v = float(value)
	44	+ return v if v > 0 else None
	45	+ except (TypeError, ValueError):
	46	+ return None
	47	+
	48	+
	49	+class JLKAuto(BaseConnector):
	50	+ source_id = "jlkauto"
	51	+ base_url = "https://www.jlkauto.ca"
	52	+ dealer_name = "JLK Auto"
	53	+ city = "Montréal"
	54	+ request_delay: float = 1.0
	55	+ max_details = 400
	56	+
	57	+ # -- sitemap ----------------------------------------------------------------
	58	+ def _vehicle_urls(self) -> list[str]:
	59	+ xml = self.get(f"{self.base_url}/inventory-listing-sitemap.xml").text
	60	+ by_token: dict[str, str] = {}
	61	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	62	+ loc = loc.strip()
	63	+ m = _VDP_RE.search(loc)
	64	+ if not m:
	65	+ continue # pages listes (…vlp) et autres
	66	+ token = m.group(1)
	67	+ # préférer la page FR (/inventaire/) à la page EN (/inventory/)
	68	+ if token not in by_token or "/inventaire/" in loc:
	69	+ by_token[token] = loc
	70	+ return [by_token[t] for t in sorted(by_token)]
	71	+
	72	+ # -- page détail -> nœud JSON-LD [Product, Car] ------------------------------
	73	+ def _fetch_detail(self, url: str) -> dict:
	74	+ html = self.get(url).text
	75	+ for block in _LD_RE.findall(html):
	76	+ try:
	77	+ data = json.loads(block.strip())
	78	+ except ValueError:
	79	+ continue
	80	+ nodes = data.get("@graph") if isinstance(data, dict) else None
	81	+ if nodes is None:
	82	+ nodes = data if isinstance(data, list) else [data]
	83	+ for node in nodes:
	84	+ types = node.get("@type")
	85	+ types = types if isinstance(types, list) else [types]
	86	+ if "Car" in types or "Vehicle" in types:
	87	+ # galerie complète depuis le CDN EDealer (JSON-LD n'a
	88	+ # qu'une photo)
	89	+ imgs = re.findall(
	90	+ r'https://media\.edealer\.ca/[^"\'\\\s]+\.(?:webp\|jpe?g\|png)',
	91	+ html)
	92	+ seen: set[str] = set()
	93	+ node["_gallery"] = [u for u in imgs
	94	+ if not (u in seen or seen.add(u))][:20]
	95	+ return node
	96	+ return {}
	97	+
	98	+ # -- contrat -----------------------------------------------------------------
	99	+ def fetch(self) -> list[Vehicle]:
	100	+ urls = self._vehicle_urls()
	101	+ week = datetime.date.today().isocalendar()
	102	+ cache_key = f"v1:{week.year}w{week.week}"
	103	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	104	+
	105	+ vehicles: list[Vehicle] = []
	106	+ real_fetches = 0
	107	+ for url in urls:
	108	+ ext_id = _VDP_RE.search(url).group(1)
	109	+
	110	+ def _fetch(u=url):
	111	+ return self._fetch_detail(u)
	112	+
	113	+ if real_fetches >= cap: # plafond : cache seulement
	114	+ from .. import db
	115	+ if self._detail_con is None:
	116	+ self._detail_con = db.connect()
	117	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	118	+ ext_id, cache_key)
	119	+ if data is None:
	120	+ continue
	121	+ else:
	122	+ before = self._last_request
	123	+ data = self.detail(ext_id, cache_key, _fetch)
	124	+ if self._last_request != before:
	125	+ real_fetches += 1
	126	+ if not data:
	127	+ continue
	128	+ veh = self._to_vehicle(ext_id, url, data)
	129	+ if veh is not None:
	130	+ vehicles.append(veh)
	131	+ return vehicles
	132	+
	133	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	134	+ # véhicules usagés uniquement
	135	+ cond = str(d.get("itemCondition") or "")
	136	+ if cond and "Used" not in cond:
	137	+ return None
	138	+
	139	+ title = " ".join(str(d.get("name") or "").split())
	140	+ if not title:
	141	+ return None
	142	+
	143	+ offers = d.get("offers") or {}
	144	+ price = None
	145	+ try:
	146	+ p = float(offers.get("price"))
	147	+ price = p if p > 0 else None
	148	+ except (TypeError, ValueError):
	149	+ pass
	150	+
	151	+ km = _qty(d.get("mileageFromOdometer"))
	152	+
	153	+ brand = d.get("brand") or {}
	154	+ make = brand.get("name") if isinstance(brand, dict) else str(brand)
	155	+
	156	+ drivetrain = ""
	157	+ drive_raw = str(d.get("driveWheelConfiguration") or "")
	158	+ for key, canon in _DRIVE_MAP.items():
	159	+ if key in drive_raw:
	160	+ drivetrain = canon
	161	+ break
	162	+
	163	+ year = None
	164	+ for k in ("vehicleModelDate", "modelDate", "productionDate"):
	165	+ try:
	166	+ year = int(str(d.get(k))[:4])
	167	+ break
	168	+ except (TypeError, ValueError):
	169	+ continue
	170	+
	171	+ engine = d.get("vehicleEngine") or {}
	172	+ engine_name = engine.get("name") if isinstance(engine, dict) else ""
	173	+
	174	+ images = d.get("_gallery") or []
	175	+ if not images and isinstance(d.get("image"), str):
	176	+ images = [d["image"]]
	177	+
	178	+ doors = d.get("numberOfDoors")
	179	+ doors = doors if isinstance(doors, int) else None
	180	+ try:
	181	+ seats = int(str(d.get("vehicleSeatingCapacity")))
	182	+ except (TypeError, ValueError):
	183	+ seats = None
	184	+
	185	+ details = {k: d[k] for k in ("numberOfForwardGears", "wheelbase",
	186	+ "fuelConsumption") if d.get(k)}
	187	+
	188	+ return Vehicle(
	189	+ source=self.source_id,
	190	+ external_id=ext_id,
	191	+ url=url,
	192	+ title=title,
	193	+ make=str(make or ""),
	194	+ model=str(d.get("model") or ""),
	195	+ trim=str(d.get("vehicleConfiguration") or ""),
	196	+ year=year,
	197	+ price=price,
	198	+ price_label=(f"{price:,.0f} $".replace(",", " ") if price else ""),
	199	+ mileage_km=km,
	200	+ mileage_label=(f"{km:,.0f} km".replace(",", " ") if km else ""),
	201	+ transmission=str(d.get("vehicleTransmission") or ""),
	202	+ fuel=str(d.get("fuelType") or ""),
	203	+ drivetrain=drivetrain,
	204	+ body_type=str(d.get("bodyType") or ""),
	205	+ exterior_color=str(d.get("color") or ""),
	206	+ interior_color=str(d.get("vehicleInteriorColor") or ""),
	207	+ engine=str(engine_name or ""),
	208	+ doors=doors,
	209	+ seats=seats,
	210	+ vin=str(d.get("vehicleIdentificationNumber") or ""),
	211	+ stock_number=str(d.get("sku") or ""),
	212	+ dealer_name=self.dealer_name,
	213	+ city=self.city,
	214	+ description=" ".join(str(d.get("description") or "").split())[:4000],
	215	+ details=details,
	216	+ images=images,
	217	+ )

added apps/auto/autoka/connectors/leprixdugros.py +292 −0

		`@@ -0,0 +1,292 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/leprixdugros.py : connecteur Le Prix du Gros (leprixdugros.com),
	5	+# groupe Mauricie / Centre-du-Québec (Kia, Nissan, Hyundai, Mazda + méga
	6	+# centre d'occasion) — Trois-Rivières, Shawinigan, Donnacona, Lévis,
	7	+# Québec, Laval, Sherbrooke, Joliette. INVENTAIRE OCCASION UNIQUEMENT.
	8	+#
	9	+# Plateforme : WordPress custom (thème Stereodev « lpdg-2022 »). La page
	10	+# liste expose un endpoint JSON paginé non documenté (celui du filtre Vue) :
	11	+# /inventaire/occasion/?output=json&pg=N -> {items(36/page), total, page}.
	12	+# Chaque item : année/marque/modèle/version, km, VIN, prix, rabais, stock,
	13	+# photo, permalien. ~37 pages pour ~1 300 véhicules d'occasion.
	14	+#
	15	+# La page détail (permalien) complète : moteur, rouage, transmission,
	16	+# passagers, couleurs, photos ET la concession où se trouve le véhicule
	17	+# (bloc « c-single-car-map-location » : nom + ville). Ces pages sont mises
	18	+# en cache BD à vie (clé stable — les specs ne changent pas ; le prix et le
	19	+# km frais viennent de la liste). AUTOKA_MAX_DETAILS (env) plafonne les
	20	+# vraies requêtes détail par sync ; AUTOKA_MAX_PAGES limite la pagination.
	21	+#
	22	+# NOTE : les pages détail n'ont NI description NI liste d'équipements par
	23	+# véhicule (les blocs « cards » sont du boilerplate : inspection 150 points,
	24	+# reconditionnement) — rien à extraire de plus que les specs/ville/photos.
	25	+# Le site est parfois lent (timeouts ponctuels) : chaque page détail tente
	26	+# d'abord un GET direct, puis bascule sur Scrapfly en cas d'échec ; le
	27	+# try/except par annonce garantit l'émission avec les données liste.
	28	+# Carburant : la source ne l'affiche jamais ; en plus des jetons explicites
	29	+# (hybride/EV/diesel), un moteur « N cylindres X.XL » sans indice électrifié
	30	+# => Essence (sauf modèles hybrides « sans badge » connus, ex. Prius).
	31	+# -----------------------------------------------------------------------------
	32	+from __future__ import annotations
	33	+
	34	+import html as htmllib
	35	+import os
	36	+import re
	37	+
	38	+from ..schema import Vehicle
	39	+from .base import BaseConnector
	40	+
	41	+_SPEC_RE = re.compile(
	42	+ r'c-single-car-features__list__text">\s<strong>([^<]+)</strong><br>\s'
	43	+ r"<span>([^<]*)</span>", re.S)
	44	+_LOC_NAME_RE = re.compile(
	45	+ r'c-single-car-map-location__name">\s([^<]+?)\s</span>', re.S)
	46	+_LOC_ADDR_RE = re.compile(
	47	+ r'c-single-car-map-location__adresse">(.*?)</span>', re.S)
	48	+_CITY_RE = re.compile(r"([A-Za-zÀ-ÿ'’ .-]+?)\s,\s(?:QC\|Québec)\b")
	49	+_IMG_RE = re.compile(r'https://images\.leprixdugros\.com/[^"\s\\<>]+')
	50	+
	51	+_FUEL_HINT_RE = re.compile(
	52	+ r"(hybride rechargeable\|plug-?in\|phev\|hybride\|hybrid\|electrique\|"
	53	+ r"électrique\|electric\|\bev\b\|diesel\|tdi)", re.I)
	54	+
	55	+# moteur thermique explicite (« 4 cylindres 2.00L ») -> Essence par défaut
	56	+_CYL_ENGINE_RE = re.compile(r"\d+\s*cylindres?", re.I)
	57	+# modèles électrifiés « sans badge » : ne jamais leur inférer Essence
	58	+_ELECTRIFIED_MODELS = {
	59	+ "prius", "prius prime", "prius c", "prius v", "ioniq", "niro",
	60	+ "insight", "clarity", "volt", "bolt", "bolt euv", "leaf", "c-max",
	61	+ "cr-z", "ct 200h", "sienna", "venza", "crown", "sonata hybrid",
	62	+}
	63	+# camions HD & fourgons souvent diesel SANS mention explicite (ex. Ram 3500
	64	+# « 6 cylindres 6.70L » = Cummins diesel) : ne pas inférer Essence
	65	+_DIESEL_PRONE_RE = re.compile(
	66	+ r"\b(2500\|3500\|4500\|5500\|f-?[2-5]50\|sprinter\|promaster)\b", re.I)
	67	+
	68	+
	69	+def _clean(text: str \| None) -> str:
	70	+ if not text:
	71	+ return ""
	72	+ out = htmllib.unescape(str(text))
	73	+ out = re.sub(r"<[^>]+>", " ", out)
	74	+ return re.sub(r"\s{2,}", " ", out).strip()
	75	+
	76	+
	77	+# clé de cache détail stable (bump si le parsing change)
	78	+_DETAIL_KEY = "v2"
	79	+
	80	+
	81	+class LePrixDuGros(BaseConnector):
	82	+ """Le Prix du Gros — JSON liste paginé + pages détail (specs, ville)."""
	83	+
	84	+ source_id = "leprixdugros"
	85	+ base_url = "https://www.leprixdugros.com"
	86	+ dealer_name = "Le Prix du Gros"
	87	+ request_delay = 1.0 # >= 1 s : le site tolère mal davantage
	88	+ max_pages = 80 # garde-fou dur (~37 pages réelles)
	89	+ max_details = 800 # plafond de vraies requêtes détail / sync
	90	+ # (couvre les ~690 véhicules en 1 sync ;
	91	+ # cache BD ensuite)
	92	+
	93	+ # -- liste JSON ----------------------------------------------------------
	94	+ def _list_page(self, page: int) -> dict:
	95	+ url = (f"{self.base_url}/inventaire/occasion/"
	96	+ f"?output=json&pg={page}")
	97	+ try:
	98	+ return self.get(url).json()
	99	+ except ValueError:
	100	+ return {}
	101	+
	102	+ # -- page détail -> payload (specs, concession, photos) -------------------
	103	+ def _fetch_detail(self, url: str) -> dict:
	104	+ try:
	105	+ html = self.get(url).text
	106	+ except Exception:
	107	+ # site lent / timeout ponctuel : repli Scrapfly (infra distincte)
	108	+ html = self.get_scrapfly(url)
	109	+ if not html:
	110	+ raise
	111	+ payload: dict = {"specs": {}, "images": []}
	112	+ for name, value in _SPEC_RE.findall(html):
	113	+ payload["specs"][_clean(name)] = _clean(value)
	114	+ m = _LOC_NAME_RE.search(html)
	115	+ if m:
	116	+ payload["dealer"] = _clean(m.group(1))
	117	+ m = _LOC_ADDR_RE.search(html)
	118	+ if m:
	119	+ # l'adresse est multi-lignes (<br>) : « 141 Rue Commerciale »,
	120	+ # « Donnacona, QC, G3M 1W2 », téléphone — la ville est le début
	121	+ # de LA ligne contenant « , QC »
	122	+ lines = [_clean(l) for l in re.split(r"<br\s*/?>", m.group(1))]
	123	+ lines = [l for l in lines if l]
	124	+ payload["address"] = ", ".join(lines[:2])
	125	+ for line in lines:
	126	+ c = _CITY_RE.match(line)
	127	+ if c:
	128	+ payload["city"] = c.group(1).strip()
	129	+ break
	130	+ seen: set[str] = set()
	131	+ for u in _IMG_RE.findall(html):
	132	+ if "_1000x750" in u and u not in seen:
	133	+ seen.add(u)
	134	+ payload["images"].append(u)
	135	+ if not payload["specs"] and not payload["images"]:
	136	+ # page d'erreur / interstitiel : ne pas mettre en cache du vide
	137	+ raise RuntimeError(f"page détail LPDG illisible : {url}")
	138	+ return payload
	139	+
	140	+ # -- contrat ---------------------------------------------------------------
	141	+ def fetch(self) -> list[Vehicle]:
	142	+ page_cap = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	143	+ detail_cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	144	+
	145	+ items: list[dict] = []
	146	+ seen_ids: set[str] = set()
	147	+ page, last_page = 1, 1
	148	+ while page <= min(last_page, page_cap, self.max_pages):
	149	+ data = self._list_page(page)
	150	+ batch = data.get("items") or []
	151	+ if not batch:
	152	+ break
	153	+ per_page = int(data.get("perPage") or len(batch) or 36)
	154	+ total = int(data.get("total") or 0)
	155	+ last_page = max(1, -(-total // max(per_page, 1))) # ceil
	156	+ new = 0
	157	+ for item in batch:
	158	+ ext_id = str(item.get("id") or item.get("stocknumber") or "")
	159	+ if ext_id and ext_id not in seen_ids:
	160	+ seen_ids.add(ext_id)
	161	+ items.append(item)
	162	+ new += 1
	163	+ if new == 0:
	164	+ break
	165	+ page += 1
	166	+
	167	+ vehicles: list[Vehicle] = []
	168	+ real_fetches = 0
	169	+ for item in items:
	170	+ detail: dict = {}
	171	+ url = str(item.get("permalink") or "")
	172	+ ext_id = str(item.get("id") or item.get("stocknumber") or "")
	173	+ if url:
	174	+ def _fetch(u=url):
	175	+ return self._fetch_detail(u)
	176	+
	177	+ # clé stable : specs figées ; prix/km frais via la liste
	178	+ if real_fetches >= detail_cap:
	179	+ from .. import db
	180	+ if self._detail_con is None:
	181	+ self._detail_con = db.connect()
	182	+ detail = db.get_cached_detail(self._detail_con,
	183	+ self.source_id,
	184	+ ext_id, _DETAIL_KEY) or {}
	185	+ else:
	186	+ before = self._last_request
	187	+ try:
	188	+ detail = self.detail(ext_id, _DETAIL_KEY, _fetch)
	189	+ except Exception:
	190	+ # page détail disparue ou timeout ponctuel : le
	191	+ # véhicule est quand même émis avec les données liste
	192	+ detail = {}
	193	+ if self._last_request != before:
	194	+ real_fetches += 1
	195	+ veh = self._to_vehicle(item, detail or {})
	196	+ if veh is not None:
	197	+ vehicles.append(veh)
	198	+ return vehicles
	199	+
	200	+ # -- item liste + détail -> Vehicle ------------------------------------------
	201	+ def _to_vehicle(self, item: dict, detail: dict) -> Vehicle \| None:
	202	+ inventory = str(item.get("inventory") or "used").lower()
	203	+ if inventory == "new": # occasion seulement
	204	+ return None
	205	+
	206	+ ext_id = str(item.get("id") or item.get("stocknumber") or "")
	207	+ url = str(item.get("permalink") or "")
	208	+ if not ext_id or not url:
	209	+ return None
	210	+
	211	+ make = str(item.get("make") or "").strip()
	212	+ model = str(item.get("model") or "").strip()
	213	+ trim = _clean(item.get("trim"))
	214	+ year = item.get("year")
	215	+ title = _clean(item.get("title"))
	216	+ title = re.sub(r"\s+d[’']occasion à vendre\s*$", "", title, flags=re.I) \
	217	+ or " ".join(str(x) for x in (make, model, trim, year or "") if x)
	218	+
	219	+ price = item.get("price")
	220	+ try:
	221	+ price = float(price) if price else None
	222	+ except (TypeError, ValueError):
	223	+ price = None
	224	+
	225	+ km = item.get("kms")
	226	+ try:
	227	+ km = float(km) if km not in (None, "") else None
	228	+ except (TypeError, ValueError):
	229	+ km = None
	230	+
	231	+ specs = detail.get("specs") or {}
	232	+ engine = specs.get("Moteur", "")
	233	+ seats = None
	234	+ m = re.search(r"\d+", specs.get("Passagers", ""))
	235	+ if m:
	236	+ seats = int(m.group(0))
	237	+
	238	+ # carburant : déduit du titre/version/moteur (non affiché ailleurs)
	239	+ fuel = ""
	240	+ m = _FUEL_HINT_RE.search(f"{title} {trim} {engine}")
	241	+ if m:
	242	+ fuel = m.group(1)
	243	+ elif (_CYL_ENGINE_RE.search(engine)
	244	+ and model.lower() not in _ELECTRIFIED_MODELS
	245	+ and not _DIESEL_PRONE_RE.search(f"{title} {model} {trim}")):
	246	+ # moteur « N cylindres X.XL » sans aucun indice électrifié/diesel
	247	+ fuel = "Essence"
	248	+
	249	+ images = list(detail.get("images") or [])
	250	+ if not images and item.get("photo"):
	251	+ images = [str(item["photo"])]
	252	+
	253	+ details: dict = {"inventory_type": inventory}
	254	+ if item.get("rebate"):
	255	+ details["rebate"] = item["rebate"]
	256	+ if str(item.get("is_certified") or "0") not in ("0", "", "None"):
	257	+ details["certified"] = True
	258	+ if specs.get("Cabine"):
	259	+ details["cab"] = specs["Cabine"]
	260	+ if detail.get("address"):
	261	+ details["branch_address"] = detail["address"]
	262	+ if detail.get("dealer"):
	263	+ details["branch"] = detail["dealer"]
	264	+
	265	+ return Vehicle(
	266	+ source=self.source_id,
	267	+ external_id=ext_id,
	268	+ url=url,
	269	+ title=title,
	270	+ make=make,
	271	+ model=model,
	272	+ trim=trim,
	273	+ year=int(year) if year else None,
	274	+ price=price,
	275	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	276	+ mileage_km=km,
	277	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	278	+ transmission=specs.get("Transmission", ""),
	279	+ fuel=fuel,
	280	+ drivetrain=specs.get("Rouage", ""),
	281	+ body_type="", # non exposé par la source
	282	+ exterior_color=specs.get("Couleur extérieure", ""),
	283	+ interior_color=specs.get("Couleur intérieure", ""),
	284	+ engine=engine,
	285	+ seats=seats,
	286	+ vin=str(item.get("vin") or ""),
	287	+ stock_number=str(item.get("stocknumber") or ""),
	288	+ dealer_name=detail.get("dealer") or self.dealer_name,
	289	+ city=detail.get("city", ""),
	290	+ details=details,
	291	+ images=images[:20],
	292	+ )

added apps/auto/autoka/connectors/magnetis_dealers.py +267 −0

		`@@ -0,0 +1,267 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/magnetis_dealers.py : connecteurs des concessionnaires sur la
	5	+# plateforme WordPress « magnetis-dealer » (agence Magnetis, inventaire
	6	+# SyncAuto — photos syncauto-XX.s3.ca-central-1.amazonaws.com).
	7	+#
	8	+# Stratégie : le sitemap /inventory-sitemap.xml recense chaque page
	9	+# véhicule /inventaire/occasion/<année>/<marque>/<modèle>/<id> (versions FR
	10	+# et EN ; on ne garde que les FR, occasion seulement — le neuf vit sous
	11	+# /inventaire/neuf/). Chaque page détail embarque :
	12	+# - <script data-class="Vehicle"> : JSON complet (marque, modèle, année,
	13	+# version, km, prix, transmission, rouage, carburant, carrosserie,
	14	+# portes, passagers, couleur, no stock ET la concession réelle du
	15	+# véhicule avec sa ville — certains sites du réseau affichent
	16	+# l'inventaire de concessions sœurs) ;
	17	+# - des JSON-LD schema.org @type Vehicle (le bon = productID == id) :
	18	+# VIN, photos, description, vendeur.
	19	+# Pages détail en cache BD (clé hebdomadaire) ; AUTOKA_MAX_DETAILS (env)
	20	+# plafonne les vraies requêtes détail par synchronisation.
	21	+# -----------------------------------------------------------------------------
	22	+from __future__ import annotations
	23	+
	24	+import datetime
	25	+import html as htmllib
	26	+import json
	27	+import os
	28	+import re
	29	+
	30	+from ..schema import Vehicle
	31	+from .base import BaseConnector
	32	+
	33	+_VEH_PATH_RE = re.compile(
	34	+ r"/inventaire/occasion/(?:19\|20)\d{2}/[^/]+/[^/]+/(\d+)/?$")
	35	+
	36	+_DATA_CLASS_RE = re.compile(
	37	+ r'<script[^>]data-class=["\']?Vehicle["\']?[^>]>(.*?)</script>', re.S)
	38	+_LD_RE = re.compile(
	39	+ r'<script type=["\']application/ld\+json["\'][^>]>(.?)</script>', re.S)
	40	+
	41	+# garde-fou non-automobile (ces réseaux vendent parfois des VR/motoneiges)
	42	+_EXCLUDE_RE = re.compile(
	43	+ r"moto(?:cyclette\|neige\|marine)?\b\|\bvtt\b\|\batv\b\|scooter\|spyder\|ryker\|"
	44	+ r"can-?am\|ski-?doo\|sea-?doo\|roulotte\|remorque\|\bvr\b\|motoris\|campeur\|"
	45	+ r"trailer\|snowmobile", re.I)
	46	+
	47	+
	48	+def _clean(text) -> str:
	49	+ if not text:
	50	+ return ""
	51	+ out = htmllib.unescape(str(text))
	52	+ out = re.sub(r"<[^>]+>", " ", out)
	53	+ return re.sub(r"\s{2,}", " ", out).strip()
	54	+
	55	+
	56	+def _num(value, cast=float):
	57	+ try:
	58	+ v = cast(value)
	59	+ except (TypeError, ValueError):
	60	+ return None
	61	+ return v if v else None
	62	+
	63	+
	64	+class MagnetisConnector(BaseConnector):
	65	+ """Base commune aux sites WordPress « magnetis-dealer » (SyncAuto)."""
	66	+
	67	+ base_url: str = ""
	68	+ dealer_name: str = ""
	69	+ city: str = ""
	70	+ request_delay: float = 1.0
	71	+ max_details = 400 # plafond de vraies requêtes par sync
	72	+
	73	+ # -- sitemap ---------------------------------------------------------------
	74	+ def _vehicle_urls(self) -> list[str]:
	75	+ xml = self.get(f"{self.base_url}/inventory-sitemap.xml").text
	76	+ urls: list[str] = []
	77	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	78	+ loc = loc.strip()
	79	+ if "/en/" in loc or not loc.startswith(self.base_url):
	80	+ continue
	81	+ if _VEH_PATH_RE.search(loc):
	82	+ urls.append(loc)
	83	+ return sorted(set(urls))
	84	+
	85	+ # -- page détail -> payload ---------------------------------------------------
	86	+ def _fetch_detail(self, url: str, ext_id: str) -> dict:
	87	+ html = self.get(url).text
	88	+ payload: dict = {}
	89	+
	90	+ m = _DATA_CLASS_RE.search(html)
	91	+ if m:
	92	+ try:
	93	+ payload["vehicle"] = json.loads(m.group(1).strip())
	94	+ except ValueError:
	95	+ pass
	96	+
	97	+ # JSON-LD : la page inclut aussi des « véhicules similaires » — le
	98	+ # bon bloc est celui dont productID correspond à l'id de l'URL.
	99	+ for block in _LD_RE.findall(html):
	100	+ try:
	101	+ data = json.loads(block.strip(), strict=False)
	102	+ except ValueError:
	103	+ continue
	104	+ types = data.get("@type")
	105	+ types = types if isinstance(types, list) else [types]
	106	+ if "Vehicle" not in types and "Car" not in types:
	107	+ continue
	108	+ if str(data.get("productID") or "") == ext_id:
	109	+ payload["ld"] = data
	110	+ break
	111	+ return payload
	112	+
	113	+ # -- contrat ---------------------------------------------------------------
	114	+ def fetch(self) -> list[Vehicle]:
	115	+ urls = self._vehicle_urls()
	116	+ week = datetime.date.today().isocalendar()
	117	+ cache_key = f"v1:{week.year}w{week.week}" # revalidation hebdomadaire
	118	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	119	+
	120	+ vehicles: list[Vehicle] = []
	121	+ real_fetches = 0
	122	+ for url in urls:
	123	+ ext_id = _VEH_PATH_RE.search(url).group(1)
	124	+
	125	+ def _fetch(u=url, e=ext_id):
	126	+ return self._fetch_detail(u, e)
	127	+
	128	+ # plafond atteint : ne servir que le cache (fetch réel interdit)
	129	+ if real_fetches >= cap:
	130	+ from .. import db
	131	+ if self._detail_con is None:
	132	+ self._detail_con = db.connect()
	133	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	134	+ ext_id, cache_key)
	135	+ if data is None:
	136	+ continue
	137	+ else:
	138	+ before = self._last_request
	139	+ try:
	140	+ data = self.detail(ext_id, cache_key, _fetch)
	141	+ except Exception:
	142	+ # page disparue (vendu) ou erreur ponctuelle : ne jamais
	143	+ # bloquer la source entière
	144	+ if self._last_request != before:
	145	+ real_fetches += 1
	146	+ continue
	147	+ if self._last_request != before:
	148	+ real_fetches += 1
	149	+ if not data or not data.get("vehicle"):
	150	+ continue
	151	+ veh = self._to_vehicle(ext_id, url, data)
	152	+ if veh is not None:
	153	+ vehicles.append(veh)
	154	+ return vehicles
	155	+
	156	+ # -- payload -> Vehicle ------------------------------------------------------
	157	+ def _to_vehicle(self, ext_id: str, url: str, data: dict) -> Vehicle \| None:
	158	+ v = data.get("vehicle") or {}
	159	+ ld = data.get("ld") or {}
	160	+
	161	+ if str(v.get("status") or "used").lower() != "used":
	162	+ return None # occasion seulement
	163	+
	164	+ make = _clean(v.get("make"))
	165	+ model = _clean(v.get("model"))
	166	+ body = _clean(v.get("body"))
	167	+ if not (make or model):
	168	+ return None
	169	+ if _EXCLUDE_RE.search(f"{make} {model} {body}"):
	170	+ return None
	171	+
	172	+ year = _num(v.get("year"), int)
	173	+ trim = _clean(v.get("trim"))
	174	+ title = " ".join(str(x) for x in (make, model, trim, year or "") if x)
	175	+
	176	+ price = _num(v.get("price"))
	177	+ km = _num(v.get("kms"))
	178	+
	179	+ images = ld.get("image") or []
	180	+ if isinstance(images, str):
	181	+ images = [images]
	182	+ images = [u for u in images if isinstance(u, str)
	183	+ and "img-bkg" not in u] # bannière de repli du site
	184	+
	185	+ # la concession réelle du véhicule (réseaux multi-concessions)
	186	+ dealer = _clean(v.get("dealer_name_fr") or v.get("dealer_name_en"))
	187	+ dealer = re.sub(r"\s+(?:used\|occasion)$", "", dealer, flags=re.I)
	188	+ if dealer.lower() in ("", "sync"): # placeholder SyncAuto
	189	+ dealer = self.dealer_name
	190	+ city = _clean(v.get("dealer_city")).split(",")[0].strip() or self.city
	191	+
	192	+ details: dict = {}
	193	+ if v.get("msrp") and _num(v["msrp"]) != price:
	194	+ details["msrp"] = v["msrp"]
	195	+ if v.get("create_date"):
	196	+ details["listed_date"] = str(v["create_date"])
	197	+
	198	+ offers = ld.get("offers") or {}
	199	+ seller = offers.get("seller") or {}
	200	+ if isinstance(seller, dict) and seller.get("name"):
	201	+ details["branch"] = _clean(seller["name"])
	202	+
	203	+ return Vehicle(
	204	+ source=self.source_id,
	205	+ external_id=ext_id,
	206	+ url=url,
	207	+ title=title,
	208	+ make=make,
	209	+ model=model,
	210	+ trim=trim,
	211	+ year=year,
	212	+ price=price,
	213	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	214	+ mileage_km=km,
	215	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	216	+ transmission=_clean(v.get("transmission")),
	217	+ fuel=_clean(v.get("fuel_type")),
	218	+ drivetrain=_clean(v.get("drive")),
	219	+ body_type=body,
	220	+ exterior_color=_clean(v.get("exterior_color")),
	221	+ engine=_clean(v.get("engine_size")),
	222	+ doors=_num(v.get("doors"), int),
	223	+ seats=_num(v.get("passengers"), int),
	224	+ vin=_clean(ld.get("vehicleIdentificationNumber")),
	225	+ stock_number=_clean(v.get("stock_number") or ld.get("sku")),
	226	+ dealer_name=dealer,
	227	+ city=city,
	228	+ description=_clean(ld.get("description"))[:4000],
	229	+ details=details,
	230	+ images=images[:20],
	231	+ )
	232	+
	233	+
	234	+# ---------------------------------------------------------------------------
	235	+# Concessionnaires (1 sous-classe = 1 source)
	236	+# ---------------------------------------------------------------------------
	237	+
	238	+class BaieComeauToyota(MagnetisConnector):
	239	+ source_id = "baiecomeautoyota"
	240	+ base_url = "https://baiecomeautoyota.com"
	241	+ dealer_name = "Baie-Comeau Toyota"
	242	+ city = "Baie-Comeau"
	243	+
	244	+
	245	+class SherbrookeToyota(MagnetisConnector):
	246	+ source_id = "sherbrooketoyota"
	247	+ base_url = "https://sherbrooketoyota.ca"
	248	+ dealer_name = "Sherbrooke Toyota"
	249	+ city = "Sherbrooke"
	250	+
	251	+
	252	+class StGeorgesNissan(MagnetisConnector):
	253	+ source_id = "stgnissan"
	254	+ base_url = "https://www.stgnissan.com"
	255	+ dealer_name = "St-Georges Nissan"
	256	+ city = "Saint-Georges"
	257	+
	258	+
	259	+class LussierChevrolet(MagnetisConnector):
	260	+ """Lussier Chevrolet Buick GMC — remplace Auto Bas Prix St-Hyacinthe
	261	+ (autobasprixst-hyacinthe.com redirige vers lussierchevrolet.com depuis
	262	+ la fusion des deux commerces)."""
	263	+
	264	+ source_id = "lussierchevrolet"
	265	+ base_url = "https://www.lussierchevrolet.com"
	266	+ dealer_name = "Lussier Chevrolet Buick GMC"
	267	+ city = "Saint-Hyacinthe"

added apps/auto/autoka/connectors/megacentre.py +225 −0

		`@@ -0,0 +1,225 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/megacentre.py : connecteur Méga Centre de liquidation
	5	+# (megacentredeliquidation.com), place de marché d'occasion du Groupe
	6	+# Laplante — Québec, Trois-Rivières, Rimouski, Matane, Mont-Joli, Amqui,
	7	+# Rawdon (Lanaudière), etc.
	8	+#
	9	+# Plateforme : Gatsby (site statique sur Fastly), inventaire EvalAuto.
	10	+# Le sitemap (/sitemap-index.xml -> /sitemap-0.xml) recense chaque page
	11	+# véhicule /auto-usage/<marque-modele-annee-stock>/. Pour chaque slug, le
	12	+# JSON Gatsby /page-data/auto-usage/<slug>/page-data.json expose l'objet
	13	+# `usedCar` complet : prix, odomètre, NIV, stock, transmission, rouage,
	14	+# carburant, carrosserie, couleurs, moteur, portes, places, options,
	15	+# description, photos, CarProof ET la concession réelle du véhicule
	16	+# (nameDealer + cityDealer — la ville par véhicule).
	17	+#
	18	+# Les page-data sont mises en cache BD (clé hebdomadaire, même logique que
	19	+# les connecteurs D2C) : seuls les nouveaux véhicules et la revalidation
	20	+# hebdomadaire génèrent de vraies requêtes. AUTOKA_MAX_DETAILS (env)
	21	+# plafonne les vraies requêtes détail par synchronisation.
	22	+# -----------------------------------------------------------------------------
	23	+from __future__ import annotations
	24	+
	25	+import datetime
	26	+import html as htmllib
	27	+import os
	28	+import re
	29	+
	30	+from ..schema import Vehicle
	31	+from .base import BaseConnector
	32	+
	33	+# pages véhicule : /auto-usage/<slug>-<année>-<stock>/ (un seul segment)
	34	+_VEH_URL_RE = re.compile(
	35	+ r"^https://www\.megacentredeliquidation\.com/auto-usage/"
	36	+ r"([a-z0-9-]+-(?:19\|20)\d{2}-[a-z0-9-]+)/$")
	37	+
	38	+# le groupe liste aussi quelques non-automobiles (Can-Am Ryker, VR…)
	39	+_EXCLUDE_RE = re.compile(
	40	+ r"can-?am\|spyder\|ryker\|harley\|ski-?doo\|sea-?doo\|polaris\|kawasaki\|"
	41	+ r"gulf ?stream\|jayco\|keystone\|forest river\|motoris\|roulotte\|remorque\|"
	42	+ r"motorcycle\|snowmobile\|atv\|\brv\b\|trailer\|motorhome", re.I)
	43	+
	44	+
	45	+def _clean_html(text: str \| None) -> str:
	46	+ """HTML avec entités (é…) -> texte brut compact."""
	47	+ if not text:
	48	+ return ""
	49	+ out = htmllib.unescape(str(text))
	50	+ out = re.sub(r"<[^>]+>", " ", out)
	51	+ return re.sub(r"\s{2,}", " ", out).strip()
	52	+
	53	+
	54	+class MegaCentreDeLiquidation(BaseConnector):
	55	+ """Méga Centre de liquidation — sitemap + page-data Gatsby (usedCar)."""
	56	+
	57	+ source_id = "megacentredeliquidation"
	58	+ base_url = "https://www.megacentredeliquidation.com"
	59	+ dealer_name = "Méga Centre de liquidation"
	60	+ request_delay = 1.0
	61	+ max_details = 600 # plafond de vraies requêtes par sync
	62	+
	63	+ # -- sitemap -------------------------------------------------------------
	64	+ def _vehicle_slugs(self) -> list[str]:
	65	+ index = self.get(f"{self.base_url}/sitemap-index.xml").text
	66	+ maps = re.findall(r"<loc>([^<]+)</loc>", index) \
	67	+ or [f"{self.base_url}/sitemap-0.xml"]
	68	+ slugs: list[str] = []
	69	+ for sitemap_url in maps:
	70	+ xml = self.get(sitemap_url.strip()).text
	71	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	72	+ m = _VEH_URL_RE.match(loc.strip())
	73	+ if m:
	74	+ slugs.append(m.group(1))
	75	+ return sorted(set(slugs))
	76	+
	77	+ # -- page-data Gatsby -> payload usedCar ----------------------------------
	78	+ def _fetch_detail(self, slug: str) -> dict:
	79	+ url = f"{self.base_url}/page-data/auto-usage/{slug}/page-data.json"
	80	+ try:
	81	+ data = self.get(url).json()
	82	+ except ValueError:
	83	+ return {}
	84	+ result = data.get("result") or {}
	85	+ used_car = (result.get("data") or {}).get("usedCar")
	86	+ if not isinstance(used_car, dict):
	87	+ return {}
	88	+ used_car.pop("coordinates", None) # gros bloc inutile
	89	+ used_car.pop("loanPaiement", None)
	90	+ return {"usedCar": used_car,
	91	+ "latestModification":
	92	+ (result.get("pageContext") or {}).get("latestModification")}
	93	+
	94	+ # -- contrat ---------------------------------------------------------------
	95	+ def fetch(self) -> list[Vehicle]:
	96	+ slugs = self._vehicle_slugs()
	97	+ week = datetime.date.today().isocalendar()
	98	+ cache_key = f"v1:{week.year}w{week.week}" # revalidation hebdomadaire
	99	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	100	+
	101	+ vehicles: list[Vehicle] = []
	102	+ real_fetches = 0
	103	+ for slug in slugs:
	104	+ def _fetch(s=slug):
	105	+ return self._fetch_detail(s)
	106	+
	107	+ # plafond atteint : ne servir que le cache (fetch réel interdit)
	108	+ if real_fetches >= cap:
	109	+ from .. import db
	110	+ if self._detail_con is None:
	111	+ self._detail_con = db.connect()
	112	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	113	+ slug, cache_key)
	114	+ if data is None:
	115	+ continue
	116	+ else:
	117	+ before = self._last_request
	118	+ try:
	119	+ data = self.detail(slug, cache_key, _fetch)
	120	+ except Exception:
	121	+ # page disparue (vendu) ou erreur ponctuelle : ne jamais
	122	+ # bloquer la source entière
	123	+ if self._last_request != before:
	124	+ real_fetches += 1
	125	+ continue
	126	+ if self._last_request != before: # une vraie requête a eu lieu
	127	+ real_fetches += 1
	128	+ if not data or not data.get("usedCar"):
	129	+ continue
	130	+ veh = self._to_vehicle(slug, data["usedCar"])
	131	+ if veh is not None:
	132	+ vehicles.append(veh)
	133	+ return vehicles
	134	+
	135	+ # -- usedCar -> Vehicle ------------------------------------------------------
	136	+ def _to_vehicle(self, slug: str, d: dict) -> Vehicle \| None:
	137	+ make = str(d.get("brand") or "").strip()
	138	+ model = str(d.get("labelModel_fr") or d.get("model") or "").strip()
	139	+ body = str(d.get("labelBodytype_fr") or d.get("bodytype") or "").strip()
	140	+ if _EXCLUDE_RE.search(f"{make} {model} {body}"): # non-automobile
	141	+ return None
	142	+
	143	+ year = d.get("year")
	144	+ trim = str(d.get("trim") or "").strip()
	145	+ # certains labels de modèle incluent déjà la version (X1 XDRIVE28I)
	146	+ title_trim = "" if trim.lower() in model.lower() else trim
	147	+ title = " ".join(str(x)
	148	+ for x in (make, model, title_trim, year or "") if x)
	149	+ if not title:
	150	+ return None
	151	+
	152	+ price = d.get("price")
	153	+ try:
	154	+ price = float(price) if price else None
	155	+ except (TypeError, ValueError):
	156	+ price = None
	157	+
	158	+ km = d.get("odometer")
	159	+ try:
	160	+ km = float(km) if km not in (None, "") else None
	161	+ except (TypeError, ValueError):
	162	+ km = None
	163	+ unit = str(d.get("odometer_Type") or "km").lower()
	164	+ if km is not None and unit.startswith("mi"):
	165	+ km = round(km * 1.609344)
	166	+
	167	+ images = d.get("images") or []
	168	+ if isinstance(images, str):
	169	+ images = [images]
	170	+ images = [u for u in images if isinstance(u, str)]
	171	+ if not images and d.get("image"):
	172	+ images = [str(d["image"])]
	173	+
	174	+ features = [f.strip() for f in str(d.get("options") or "").split("\|")
	175	+ if f.strip()]
	176	+
	177	+ doors = d.get("doors")
	178	+ seats = d.get("passengers")
	179	+
	180	+ details: dict = {"branch": str(d.get("nameDealer") or "")}
	181	+ for src, dst in (("accident", "accidented"),
	182	+ ("certified", "certified"),
	183	+ ("uniqueOwner", "unique_owner")):
	184	+ if d.get(src) is not None:
	185	+ details[dst] = bool(d[src])
	186	+ if d.get("cityConsumption"):
	187	+ details["consumption_city_l_100km"] = d["cityConsumption"]
	188	+ if d.get("hightwayConsumption"):
	189	+ details["consumption_hwy_l_100km"] = d["hightwayConsumption"]
	190	+ if d.get("inventoryID"):
	191	+ details["inventory_id"] = str(d["inventoryID"])
	192	+
	193	+ return Vehicle(
	194	+ source=self.source_id,
	195	+ external_id=slug,
	196	+ url=f"{self.base_url}/auto-usage/{slug}/",
	197	+ title=title,
	198	+ make=make,
	199	+ model=model,
	200	+ trim=trim,
	201	+ year=int(year) if year else None,
	202	+ price=price,
	203	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	204	+ mileage_km=km,
	205	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	206	+ transmission=str(d.get("transmission") or ""),
	207	+ fuel=str(d.get("labelEngine_fr") or d.get("engine") or ""),
	208	+ drivetrain=str(d.get("drivetrain") or ""),
	209	+ body_type=body,
	210	+ exterior_color=str(d.get("labelColorExt_fr") or ""),
	211	+ interior_color=str(d.get("labelColorInt_fr") or ""),
	212	+ engine=str(d.get("motor") or ""),
	213	+ doors=int(doors) if doors else None,
	214	+ seats=int(seats) if seats else None,
	215	+ vin=str(d.get("niv") or ""),
	216	+ stock_number=str(d.get("stockNO") or ""),
	217	+ dealer_name=str(d.get("nameDealer") or "").strip()
	218	+ or self.dealer_name,
	219	+ city=str(d.get("cityDealer") or "").strip(),
	220	+ description=_clean_html(d.get("description"))[:4000],
	221	+ features=features[:60],
	222	+ details=details,
	223	+ images=images[:20],
	224	+ carfax_url=str(d.get("carproofURL") or ""),
	225	+ )

added apps/auto/autoka/connectors/montjolichrysler.py +34 −0

		`@@ -0,0 +1,34 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/montjolichrysler.py : connecteur Chrysler Mont-Joli
	5	+# (montjolichrysler.com), concessionnaire Chrysler/Dodge/Jeep/RAM de
	6	+# Mont-Joli (Bas-Saint-Laurent, près de Rimouski et Matane).
	7	+#
	8	+# Plateforme : Next.js App Router (autoroot.io), inventaire EvalAuto —
	9	+# même moteur qu'Occasion Beaucage / Ste-Foy Chrysler : les pages liste
	10	+# /auto-usage/<n>/ embarquent dans leur flux RSC (self.__next_f.push)
	11	+# l'objet {"vehicles":[...],"count":N} complet (prix, km, VIN, stock,
	12	+# transmission, carburant, carrosserie, couleurs, photos,
	13	+# display_dealer_name / display_city). On réutilise OccasionBeaucage,
	14	+# seuls l'URL et les libellés changent.
	15	+# -----------------------------------------------------------------------------
	16	+from __future__ import annotations
	17	+
	18	+from .occasionbeaucage import OccasionBeaucage
	19	+
	20	+
	21	+class MontJoliChrysler(OccasionBeaucage):
	22	+ """Chrysler Mont-Joli — pages liste Next.js RSC (pattern Occasion Beaucage)."""
	23	+
	24	+ source_id = "montjolichrysler"
	25	+ base_url = "https://www.montjolichrysler.com"
	26	+ dealer_name = "Chrysler Mont-Joli"
	27	+ city = "Mont-Joli"
	28	+ max_pages = 30
	29	+
	30	+ def _to_vehicle(self, d, blob):
	31	+ veh = super()._to_vehicle(d, blob)
	32	+ if veh is not None and not veh.city:
	33	+ veh.city = self.city
	34	+ return veh

added apps/auto/autoka/connectors/moto_dealers.py +600 −0

		`@@ -0,0 +1,600 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de véhicules usagés à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/moto_dealers.py : verticale MOTOS & SCOOTERS usagés — connecteurs
	5	+# des concessionnaires de motocyclettes/scooters du Québec.
	6	+#
	7	+# Chaque véhicule émis porte kind="moto" ou kind="scooter" (jamais "auto").
	8	+# Les motoneiges, VTT, côte-à-côte, motomarines, bateaux, VR et vélos sont
	9	+# systématiquement EXCLUS. Les marques moto (Harley-Davidson, Indian, KTM,
	10	+# Vespa…) ne sont pas dans normalize.MAKES : make est TOUJOURS rempli
	11	+# explicitement depuis la source (JSON inventaire ou brand JSON-LD), on ne
	12	+# compte jamais sur split_title().
	13	+#
	14	+# Plateformes rencontrées dans cette verticale :
	15	+#
	16	+# 1. PowerGo (powergo.ca) — de très loin la plus répandue chez les
	17	+# concessionnaires de sports motorisés au Québec (l'équivalent moto de
	18	+# D2C Media côté autos). Sites Next.js ; l'inventaire COMPLET (neuf +
	19	+# usagé, tous types) est publié dans un JSON public :
	20	+# <base>/data/vehicles-inventory-fr-items.json
	21	+# → type, category, conditionCode (new/used), make, model, year, prix,
	22	+# usage (km), stock, URL de la page détail, 1re photo (gabarit CDN).
	23	+# Chaque page détail expose en plus un JSON-LD schema.org @type Vehicle
	24	+# (parfois dans un @graph) : galerie complète, description, couleur,
	25	+# kilométrage… Pages détail en cache BD, clé = prix+km du listing (donc
	26	+# revalidation automatique quand le prix ou le km change).
	27	+# NB : les sites PowerGo « ancien gabarit » (premonthd.com, lavalmoto.com,
	28	+# motojmf.com, motopro.ca…) n'exposent PAS ce JSON (listing 100 % JS).
	29	+#
	30	+# 2. Magento/Traction (Moto Ducharme) — listing HTML server-rendered
	31	+# par catégorie (/fr/vehicules-d-occasion/motocyclettes), pages détail
	32	+# avec JSON-LD @type Product + table de spécifications (Kilométrage,
	33	+# Couleur…) + galerie JSON Magento.
	34	+#
	35	+# 3. D2C Media — aucun des concessionnaires moto candidats sondés n'y est
	36	+# (PowerGo domine cette verticale), mais la base D2CMotoConnector est
	37	+# prête : mêmes mécanismes que D2CConnector (sitemap /fr/sitemap.xml +
	38	+# JSON-LD des pages /occasion/…-idNNN.html), avec un filtre de segments
	39	+# INVERSÉ (inclut motos/scooters, exclut le reste) et kind rempli.
	40	+# -----------------------------------------------------------------------------
	41	+from __future__ import annotations
	42	+
	43	+import datetime
	44	+import json
	45	+import os
	46	+import re
	47	+
	48	+from ..schema import Vehicle
	49	+from .base import BaseConnector
	50	+from .d2c_dealers import D2CConnector, _LD_RE, _VEH_URL_RE, _clean
	51	+
	52	+# --- détection moto vs scooter ------------------------------------------------
	53	+# scooter si la catégorie/le segment d'URL/le titre évoque un scooter ou un
	54	+# cyclomoteur (Vespa, Burgman, BWS, Kymco…) — sinon moto
	55	+_SCOOTER_RE = re.compile(
	56	+ r"scooter\|cyclomoteur\|moped\|vespa\|piaggio\b\|burgman\|bws\b\|kymco\|"
	57	+ r"primavera\|typhoon\b\|ruckus\|metropolitan\b\|elite\s*125\|majesty\|"
	58	+ r"xmax\|x-max\|nmax\|address\b\|like\s200\|agility\b\|super\s8\b", re.I)
	59	+
	60	+
	61	+def moto_kind(*texts: str) -> str:
	62	+ """kind Auto-Ka ("moto" \| "scooter") d'après des indices textuels."""
	63	+ blob = " ".join(t for t in texts if t)
	64	+ return "scooter" if _SCOOTER_RE.search(blob) else "moto"
	65	+
	66	+
	67	+# ==============================================================================
	68	+# 1. D2C Media — base moto/scooter (aucun site connecté pour l'instant ; voir
	69	+# l'en-tête — prête pour le premier concessionnaire moto rencontré sur D2C)
	70	+# ==============================================================================
	71	+
	72	+class D2CMotoConnector(D2CConnector):
	73	+ """Base D2C Media pour les concessionnaires de MOTOS/SCOOTERS.
	74	+
	75	+ Même stratégie que D2CConnector (sitemap + JSON-LD des pages détail),
	76	+ mais le filtre de segments /occasion/<segment>/ est inversé : on ne
	77	+ garde QUE les catégories moto/scooter, et on exclut explicitement les
	78	+ motoneiges, VTT, côte-à-côte, motomarines, VR, etc.
	79	+ """
	80	+
	81	+ # catégories INCLUSES (\b après moto : « motoneige »/« motomarine » ne
	82	+ # matchent pas)
	83	+ _MOTO_SEGMENTS = re.compile(
	84	+ r"scooter\|cyclomoteur\|moto(?:s)?\b\|motocyclette", re.I)
	85	+ # catégories toujours EXCLUES, même si un segment voisin est moto
	86	+ _NON_MOTO_SEGMENTS = re.compile(
	87	+ r"motoneige\|vtt\|c[oô]te[s]?-?[aà]-?c[oô]te\|motomarine\|spyder\|ryker\|"
	88	+ r"side\|atv\|snow\|bateau\|ponton\|nautique\|roulotte\|remorque\|\bvr\b\|"
	89	+ r"campeur\|tracteur\|souffleuse\|v[ée]lo\|auto", re.I)
	90	+
	91	+ def _vehicle_urls(self) -> list[str]:
	92	+ xml = self._get_text(f"{self.base_url}/fr/sitemap.xml")
	93	+ urls: list[str] = []
	94	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	95	+ loc = loc.strip()
	96	+ if "/occasion/" not in loc or not _VEH_URL_RE.search(loc):
	97	+ continue
	98	+ segments = loc.split("/occasion/", 1)[1].split("/")[:-1]
	99	+ if any(self._NON_MOTO_SEGMENTS.search(s) for s in segments):
	100	+ continue
	101	+ if not any(self._MOTO_SEGMENTS.search(s) for s in segments):
	102	+ continue # autos et catégories inconnues
	103	+ urls.append(loc)
	104	+ return urls
	105	+
	106	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	107	+ veh = super()._to_vehicle(ext_id, url, d)
	108	+ if veh is None:
	109	+ return None
	110	+ path = url.split("/occasion/", 1)[-1]
	111	+ veh.kind = moto_kind(path, str(d.get("bodyType") or ""), veh.title)
	112	+ return veh
	113	+
	114	+
	115	+# ==============================================================================
	116	+# 2. PowerGo — base commune (JSON inventaire + JSON-LD des pages détail)
	117	+# ==============================================================================
	118	+
	119	+# gabarit CDN de la 1re photo du listing : {imgWidth} → largeur désirée
	120	+_PG_IMG_WIDTH_RE = re.compile(r"\{imgWidth\}")
	121	+
	122	+MAX_IMAGES = 25
	123	+
	124	+
	125	+def _pg_extract_ld_vehicle(html: str) -> dict:
	126	+ """JSON-LD @type Vehicle/Car/Motorcycle d'une page détail PowerGo.
	127	+
	128	+ Selon le gabarit, le nœud est au premier niveau, dans une liste, ou dans
	129	+ un @graph (ex. sites Harley-Davidson Gabriel/St-Jérôme).
	130	+ """
	131	+ for block in _LD_RE.findall(html):
	132	+ try:
	133	+ cand = json.loads(block.strip())
	134	+ except ValueError:
	135	+ continue
	136	+ stack = cand if isinstance(cand, list) else [cand]
	137	+ for item in stack:
	138	+ if not isinstance(item, dict):
	139	+ continue
	140	+ nodes = item.get("@graph") if isinstance(item.get("@graph"), list) \
	141	+ else [item]
	142	+ for node in nodes:
	143	+ if not isinstance(node, dict):
	144	+ continue
	145	+ types = node.get("@type")
	146	+ types = types if isinstance(types, list) else [types]
	147	+ if any(t in ("Vehicle", "Car", "Motorcycle") for t in types):
	148	+ return node
	149	+ return {}
	150	+
	151	+
	152	+class PowerGoMotoConnector(BaseConnector):
	153	+ """Base commune aux sites PowerGo. Sous-classes : base_url + ville.
	154	+
	155	+ fetch() : JSON inventaire complet → filtre usagé + motos/scooters →
	156	+ enrichissement JSON-LD par page détail (cache BD, clé prix+km : seuls les
	157	+ nouveaux véhicules et les changements de prix/km génèrent des requêtes).
	158	+ Au-delà du plafond de requêtes détail, le véhicule est quand même émis
	159	+ avec les champs (déjà riches) du listing JSON.
	160	+ """
	161	+
	162	+ base_url: str = ""
	163	+ dealer_name: str = ""
	164	+ city: str = ""
	165	+ request_delay: float = 1.0
	166	+ max_details = 400
	167	+
	168	+ # unaccentedType inclus (préfixes, insensible au singulier/pluriel) :
	169	+ # motocyclette(s) et scooters ; « motos trois roues » (Spyder/Ryker,
	170	+ # immatriculées moto au Québec) incluses aussi. Tout le reste (motoneige,
	171	+ # vtt, côte-à-côte, motomarine, bateau, vélo, remorque…) est exclu.
	172	+ include_types = ("motocyclette", "motos trois roues", "scooter")
	173	+
	174	+ def _kind(self, item: dict) -> str:
	175	+ return moto_kind(str(item.get("unaccentedCategory") or ""),
	176	+ str(item.get("unaccentedType") or ""),
	177	+ str(item.get("label") or ""))
	178	+
	179	+ # -- page détail -> JSON-LD --------------------------------------------------
	180	+ def _get_utf8(self, url: str) -> str:
	181	+ """GET dont le texte est décodé en UTF-8.
	182	+
	183	+ Les serveurs PowerGo n'envoient pas de charset ; requests retombe
	184	+ alors sur ISO-8859-1 et les accents deviennent du mojibake
	185	+ (« NumÃ©ro » au lieu de « Numéro »).
	186	+ """
	187	+ resp = self.get(url)
	188	+ if not resp.encoding or resp.encoding.lower() in ("iso-8859-1", "latin-1"):
	189	+ resp.encoding = "utf-8"
	190	+ return resp.text
	191	+
	192	+ def _fetch_detail(self, url: str) -> dict:
	193	+ return _pg_extract_ld_vehicle(self._get_utf8(url))
	194	+
	195	+ # -- contrat -------------------------------------------------------------
	196	+ def fetch(self) -> list[Vehicle]:
	197	+ items = self.get(
	198	+ f"{self.base_url}/data/vehicles-inventory-fr-items.json").json()
	199	+ if not isinstance(items, list):
	200	+ return []
	201	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	202	+
	203	+ vehicles: list[Vehicle] = []
	204	+ real_fetches = 0
	205	+ for it in items:
	206	+ if not isinstance(it, dict):
	207	+ continue
	208	+ if it.get("conditionCode") != "used" or it.get("isSold"):
	209	+ continue
	210	+ utype = str(it.get("unaccentedType") or "").lower().strip()
	211	+ if not utype.startswith(self.include_types):
	212	+ continue
	213	+ page = (it.get("page") or {}).get("url") or ""
	214	+ if not page:
	215	+ continue
	216	+ url = self.base_url + page
	217	+ ext_id = str(it.get("vehicle_id") or it.get("stockNumber") or page)
	218	+ # clé de cache = prix + km : revalidation automatique au changement
	219	+ key = f"v1:{it.get('salePriceValue')}:{it.get('usageValue')}"
	220	+
	221	+ ld: dict = {}
	222	+ if real_fetches < cap:
	223	+ before = self._last_request
	224	+ try:
	225	+ ld = self.detail(ext_id, key,
	226	+ lambda u=url: self._fetch_detail(u))
	227	+ except Exception:
	228	+ ld = {} # page détail disparue : listing seul
	229	+ if self._last_request != before:
	230	+ real_fetches += 1
	231	+ else: # plafond atteint : cache BD sinon listing seul
	232	+ from .. import db
	233	+ if self._detail_con is None:
	234	+ self._detail_con = db.connect()
	235	+ ld = db.get_cached_detail(self._detail_con, self.source_id,
	236	+ ext_id, key) or {}
	237	+ try:
	238	+ veh = self._to_vehicle(ext_id, url, it, ld or {})
	239	+ except Exception:
	240	+ continue
	241	+ if veh is not None:
	242	+ vehicles.append(veh)
	243	+ return vehicles
	244	+
	245	+ def _to_vehicle(self, ext_id: str, url: str, it: dict,
	246	+ ld: dict) -> Vehicle \| None:
	247	+ title = _clean(it.get("label")) or _clean(ld.get("name"))
	248	+ if not title:
	249	+ return None
	250	+
	251	+ price = it.get("salePriceValue") or it.get("basePriceValue")
	252	+ if price in (None, "", 0, "0") and isinstance(ld.get("offers"), dict):
	253	+ price = ld["offers"].get("price")
	254	+ try:
	255	+ price = float(price) if price not in (None, "", 0, "0") else None
	256	+ except (TypeError, ValueError):
	257	+ price = None
	258	+
	259	+ # usage : PowerGo mélange km et heures (motocross) — km seulement si
	260	+ # l'étiquette le confirme ; sinon repli JSON-LD (unitCode KMT)
	261	+ km = None
	262	+ usage_label = _clean(it.get("usageLabel"))
	263	+ if it.get("usageValue") and "km" in usage_label.lower():
	264	+ try:
	265	+ km = float(it["usageValue"])
	266	+ except (TypeError, ValueError):
	267	+ km = None
	268	+ if km is None:
	269	+ odo = ld.get("mileageFromOdometer")
	270	+ if isinstance(odo, dict) and odo.get("unitCode") in ("KMT", None):
	271	+ try:
	272	+ km = float(odo.get("value"))
	273	+ except (TypeError, ValueError):
	274	+ km = None
	275	+
	276	+ year = it.get("year")
	277	+ if not year and ld.get("vehicleModelDate"):
	278	+ year = ld["vehicleModelDate"]
	279	+ try:
	280	+ year = int(str(year)[:4]) if year else None
	281	+ except ValueError:
	282	+ year = None
	283	+
	284	+ make = _clean(it.get("make"))
	285	+ if not make:
	286	+ brand = ld.get("brand") or {}
	287	+ make = _clean(brand.get("name") if isinstance(brand, dict)
	288	+ else str(brand)) or _clean(ld.get("manufacturer"))
	289	+
	290	+ images = ld.get("image") or []
	291	+ if isinstance(images, str):
	292	+ images = [images]
	293	+ images = [u for u in images if isinstance(u, str) and u.startswith("http")]
	294	+ if not images: # repli : 1re photo du listing
	295	+ img = it.get("image") or {}
	296	+ src = str(img.get("source") or "")
	297	+ dims = [d for d in (img.get("dimensions") or []) if isinstance(d, int)]
	298	+ if src:
	299	+ images = [_PG_IMG_WIDTH_RE.sub(str(max(dims) if dims else 1000),
	300	+ src)]
	301	+
	302	+ details = {k: v for k, v in (("type", _clean(it.get("type"))),
	303	+ ("category", _clean(it.get("category"))))
	304	+ if v}
	305	+
	306	+ return Vehicle(
	307	+ source=self.source_id,
	308	+ external_id=ext_id,
	309	+ url=url,
	310	+ kind=self._kind(it),
	311	+ title=title,
	312	+ make=make, # explicite : marques moto absentes
	313	+ model=_clean(it.get("model")) or _clean(ld.get("model")),
	314	+ year=year,
	315	+ price=price,
	316	+ price_label=_clean(it.get("salePriceLabel")
	317	+ or it.get("basePriceLabel")),
	318	+ mileage_km=km,
	319	+ mileage_label=usage_label,
	320	+ exterior_color=_clean(ld.get("color")),
	321	+ stock_number=_clean(it.get("stockNumber")) or _clean(ld.get("sku")),
	322	+ dealer_name=self.dealer_name,
	323	+ # groupes multi-succursales (Contant, Imperium…) : la succursale
	324	+ # du véhicule est dans le listing JSON
	325	+ city=_clean(it.get("location")) or self.city,
	326	+ description=_clean(ld.get("description"))[:4000],
	327	+ details=details,
	328	+ images=images[:MAX_IMAGES],
	329	+ )
	330	+
	331	+
	332	+# ------------------------------------------------------------------------------
	333	+# Concessionnaires PowerGo (1 sous-classe = 1 source)
	334	+# ------------------------------------------------------------------------------
	335	+
	336	+class MathiasSports(PowerGoMotoConnector):
	337	+ source_id = "mathiassports"
	338	+ base_url = "https://mathiassports.com"
	339	+ dealer_name = "Mathias Sports"
	340	+ city = "Saint-Mathias-sur-Richelieu"
	341	+
	342	+
	343	+class SMSport(PowerGoMotoConnector):
	344	+ source_id = "smsport"
	345	+ base_url = "https://smsport.ca"
	346	+ dealer_name = "SM Sport"
	347	+ city = "Québec"
	348	+
	349	+
	350	+class MotosIllimitees(PowerGoMotoConnector):
	351	+ source_id = "motosillimitees"
	352	+ base_url = "https://www.motosillimitees.com"
	353	+ dealer_name = "Motos Illimitées"
	354	+ city = "Terrebonne"
	355	+
	356	+
	357	+class RMMotosport(PowerGoMotoConnector):
	358	+ source_id = "rmmotosport"
	359	+ base_url = "https://www.rmmotosport.com"
	360	+ dealer_name = "RM Motosport"
	361	+ city = "Victoriaville"
	362	+
	363	+
	364	+class GLSport(PowerGoMotoConnector):
	365	+ source_id = "glsport"
	366	+ base_url = "https://www.glsport.ca"
	367	+ dealer_name = "GL Sport"
	368	+ city = "Saint-Gervais"
	369	+
	370	+
	371	+class ExcelMoto(PowerGoMotoConnector):
	372	+ source_id = "excelmoto"
	373	+ base_url = "https://www.excelmoto.com"
	374	+ dealer_name = "Excel Moto"
	375	+ city = "Montréal"
	376	+
	377	+
	378	+class GroupeContant(PowerGoMotoConnector):
	379	+ # groupe multi-succursales : Mirabel, Repentigny, Vaudreuil, Beloeil,
	380	+ # Ste-Agathe — la ville de chaque unité vient du listing (location)
	381	+ source_id = "groupecontant"
	382	+ base_url = "https://www.contant.ca"
	383	+ dealer_name = "Groupe Contant"
	384	+ city = "Repentigny"
	385	+
	386	+
	387	+class GabrielHarleyDavidson(PowerGoMotoConnector):
	388	+ source_id = "gabrielharleydavidson"
	389	+ base_url = "https://gabrielharleydavidsonmtl.com"
	390	+ dealer_name = "Gabriel Harley-Davidson Montréal"
	391	+ city = "Montréal"
	392	+
	393	+
	394	+class StJeromeHarleyDavidson(PowerGoMotoConnector):
	395	+ source_id = "stjeromeharleydavidson"
	396	+ base_url = "https://stjeromeharleydavidson.com"
	397	+ dealer_name = "St-Jérôme Harley-Davidson"
	398	+ city = "Saint-Jérôme"
	399	+
	400	+
	401	+class Mecamoto(PowerGoMotoConnector):
	402	+ # spécialiste Vespa / Piaggio / Moto Guzzi — la plupart des scooters
	403	+ # usagés arrivent en catégorie « Cyclomoteurs »
	404	+ source_id = "mecamoto"
	405	+ base_url = "https://www.mecamoto.ca"
	406	+ dealer_name = "Mecamoto"
	407	+ city = "Montréal"
	408	+
	409	+
	410	+class MotosThibaultTR(PowerGoMotoConnector):
	411	+ # concessionnaire Vespa / Aprilia / Suzuki de la Mauricie
	412	+ source_id = "motosthibaulttr"
	413	+ base_url = "https://www.motosthibault.ca"
	414	+ dealer_name = "Motos Thibault Trois-Rivières"
	415	+ city = "Trois-Rivières"
	416	+
	417	+
	418	+class GroupeImperium(PowerGoMotoConnector):
	419	+ # groupe multi-succursales : Chicoutimi, Dolbeau-Mistassini, Chibougamau,
	420	+ # Rouyn-Noranda — succursale par véhicule via location
	421	+ source_id = "groupeimperium"
	422	+ base_url = "https://www.groupeimperium.ca"
	423	+ dealer_name = "Groupe Imperium"
	424	+ city = "Chicoutimi"
	425	+
	426	+
	427	+# ==============================================================================
	428	+# 3. Moto Ducharme (Joliette) — Magento (thème Traction)
	429	+# Listing par catégorie server-rendered ; détail : JSON-LD @type Product +
	430	+# table de spécifications (Kilométrage, Couleur…) + galerie JSON Magento.
	431	+# ==============================================================================
	432	+
	433	+_MD_DETAIL_RE = re.compile(
	434	+ r'href="(https://www\.motoducharme\.com/fr/vehicules-d-occasion/'
	435	+ r'motocyclettes/[a-z0-9-]+-cs-(\d+))"')
	436	+_MD_SPEC_RE = re.compile(
	437	+ r'<th class="col label"[^>]>\s([^<]+?)\s</th>\s'
	438	+ r'<td class="col data"[^>]>\s([^<]+?)\s*</td>', re.S)
	439	+_MD_GALLERY_RE = re.compile(r'"data":\s(\[\{"thumb".?\}\])')
	440	+_MD_YEAR_RE = re.compile(r"\b(19[89]\d\|20[0-2]\d)\b")
	441	+
	442	+
	443	+class MotoDucharme(BaseConnector):
	444	+ source_id = "motoducharme"
	445	+ base_url = "https://www.motoducharme.com"
	446	+ listing_url = "https://www.motoducharme.com/fr/vehicules-d-occasion/motocyclettes"
	447	+ dealer_name = "Moto Ducharme"
	448	+ city = "Joliette"
	449	+ request_delay = 1.0
	450	+ max_details = 150
	451	+ max_pages = 5 # ~15 motos affichées, marge pour grandir
	452	+
	453	+ def _listing_urls(self) -> list[tuple[str, str]]:
	454	+ """[(url, ext_id)] des motos usagées, pages ?p=N de Magento."""
	455	+ seen: dict[str, str] = {}
	456	+ max_pages = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	457	+ for p in range(1, max_pages + 1):
	458	+ url = self.listing_url if p == 1 else f"{self.listing_url}?p={p}"
	459	+ try:
	460	+ html = self.get(url).text
	461	+ except Exception:
	462	+ break
	463	+ before = len(seen)
	464	+ for detail_url, ext_id in _MD_DETAIL_RE.findall(html):
	465	+ seen.setdefault(ext_id, detail_url)
	466	+ if len(seen) == before: # plus rien de neuf : fin
	467	+ break
	468	+ return [(u, i) for i, u in seen.items()]
	469	+
	470	+ def _fetch_detail(self, url: str) -> dict:
	471	+ html = self.get(url).text
	472	+ data: dict = {}
	473	+ for block in _LD_RE.findall(html):
	474	+ try:
	475	+ cand = json.loads(block.strip())
	476	+ except ValueError:
	477	+ continue
	478	+ if isinstance(cand, dict) and cand.get("@type") == "Product":
	479	+ data = cand
	480	+ break
	481	+ if not data:
	482	+ return {}
	483	+ specs = {_clean(k): _clean(v) for k, v in _MD_SPEC_RE.findall(html)}
	484	+ if specs:
	485	+ data["_specs"] = specs
	486	+ m = _MD_GALLERY_RE.search(html)
	487	+ if m:
	488	+ try:
	489	+ gallery = json.loads(m.group(1))
	490	+ data["_gallery"] = [g.get("full") or g.get("img")
	491	+ for g in gallery
	492	+ if isinstance(g, dict)
	493	+ and (g.get("full") or g.get("img"))]
	494	+ except ValueError:
	495	+ pass
	496	+ return data
	497	+
	498	+ def fetch(self) -> list[Vehicle]:
	499	+ week = datetime.date.today().isocalendar()
	500	+ cache_key = f"v1:{week.year}w{week.week}" # revalidation hebdo
	501	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	502	+
	503	+ vehicles: list[Vehicle] = []
	504	+ real_fetches = 0
	505	+ for url, ext_id in self._listing_urls():
	506	+ if real_fetches >= cap:
	507	+ from .. import db
	508	+ if self._detail_con is None:
	509	+ self._detail_con = db.connect()
	510	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	511	+ ext_id, cache_key)
	512	+ if data is None:
	513	+ continue
	514	+ else:
	515	+ before = self._last_request
	516	+ try:
	517	+ data = self.detail(ext_id, cache_key,
	518	+ lambda u=url: self._fetch_detail(u))
	519	+ except Exception:
	520	+ if self._last_request != before:
	521	+ real_fetches += 1
	522	+ continue
	523	+ if self._last_request != before:
	524	+ real_fetches += 1
	525	+ if not data:
	526	+ continue
	527	+ try:
	528	+ veh = self._to_vehicle(ext_id, url, data)
	529	+ except Exception:
	530	+ continue
	531	+ if veh is not None:
	532	+ vehicles.append(veh)
	533	+ return vehicles
	534	+
	535	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	536	+ title = _clean(d.get("name"))
	537	+ if not title:
	538	+ return None
	539	+ specs = d.get("_specs") or {}
	540	+
	541	+ offers = d.get("offers") or {}
	542	+ try:
	543	+ price = float(offers.get("price"))
	544	+ if price <= 0:
	545	+ price = None
	546	+ except (TypeError, ValueError):
	547	+ price = None
	548	+
	549	+ km = None
	550	+ for label, value in specs.items():
	551	+ if "kilom" in label.lower():
	552	+ digits = re.sub(r"[^\d]", "", value)
	553	+ if digits:
	554	+ km = float(digits)
	555	+ break
	556	+
	557	+ years = _MD_YEAR_RE.findall(title)
	558	+ year = int(years[-1]) if years else None
	559	+
	560	+ brand = d.get("brand") or {}
	561	+ make = _clean(brand.get("name") if isinstance(brand, dict)
	562	+ else str(brand))
	563	+ if make.isupper(): # « KAWASAKI » → « Kawasaki »
	564	+ make = make.title()
	565	+ # modèle = titre sans la marque (préfixe, parfois doublée) ni l'année
	566	+ model = title
	567	+ if make:
	568	+ model = re.sub(rf"^(?:{re.escape(make)}\s+)+", "", model,
	569	+ flags=re.I)
	570	+ model = _MD_YEAR_RE.sub("", model).strip(" -")
	571	+
	572	+ images = d.get("_gallery") or []
	573	+ if not images and d.get("image"):
	574	+ images = [d["image"]] if isinstance(d["image"], str) else d["image"]
	575	+
	576	+ color = next((v for k, v in specs.items()
	577	+ if "couleur" in k.lower()), "")
	578	+
	579	+ return Vehicle(
	580	+ source=self.source_id,
	581	+ external_id=ext_id,
	582	+ url=url,
	583	+ kind=moto_kind(url, title),
	584	+ title=title,
	585	+ make=make,
	586	+ model=" ".join(model.split()),
	587	+ year=year,
	588	+ price=price,
	589	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	590	+ mileage_km=km,
	591	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	592	+ exterior_color=color,
	593	+ stock_number=str(d.get("sku") or ""),
	594	+ dealer_name=self.dealer_name,
	595	+ city=self.city,
	596	+ description=_clean(d.get("description"))[:4000],
	597	+ details={k: v for k, v in specs.items()
	598	+ if v and v.upper() not in ("N.D.", "N/A")},
	599	+ images=[u for u in images if isinstance(u, str)][:MAX_IMAGES],
	600	+ )

added apps/auto/autoka/connectors/occasionbeaucage.py +361 −0

		`@@ -0,0 +1,361 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/occasionbeaucage.py : connecteur Occasion Beaucage
	5	+# (occasionbeaucage.com), groupe de mégacentres d'occasion de l'Estrie /
	6	+# Centre-du-Québec / Montérégie (Sherbrooke, Magog, Granby, Drummondville,
	7	+# Victoriaville, Saint-Hyacinthe, Cowansville) — ~1 200 véhicules.
	8	+#
	9	+# Plateforme : Next.js App Router (autoroot.io) sur Vercel, inventaire
	10	+# EvalAuto. Chaque page liste /auto-usage/<n>/ (24 véhicules/page) embarque
	11	+# dans son flux RSC (self.__next_f.push) un objet
	12	+# {"vehicles":[...],"count":N,"page":n} où chaque véhicule est COMPLET :
	13	+# prix, km, VIN, stock, transmission, carburant, carrosserie, couleurs,
	14	+# moteur, portes, places, carfax, photos ET la concession du véhicule
	15	+# (display_dealer_name / display_city). AUCUNE page détail nécessaire :
	16	+# ~52 requêtes pour tout l'inventaire, ville exacte par véhicule.
	17	+#
	18	+# Les refs de flux («$313») pointant vers d'autres lignes RSC (les listes
	19	+# de photos) sont résolues localement. AUTOKA_MAX_PAGES (env) limite la
	20	+# pagination pour les tests.
	21	+#
	22	+# Enrichissement détail : la description complète et la liste d'équipements
	23	+# ne vivent PAS dans le flux liste — seulement dans le flux RSC de la page
	24	+# détail /auto-usage/<slug>/, sous forme de refs ($21…) vers des lignes
	25	+# longues «T<hex>,» (longueur en OCTETS UTF-8) : description = HTML brut,
	26	+# options = JSON {"fr": "équip1\|équip2\|…"}. Ces payloads sont mis en cache
	27	+# BD à clé stable (les équipements ne changent pas ; le prix frais vient de
	28	+# la liste) et plafonnés par AUTOKA_MAX_DETAILS / max_details par sync —
	29	+# l'inventaire complet se couvre en quelques synchronisations.
	30	+# -----------------------------------------------------------------------------
	31	+from __future__ import annotations
	32	+
	33	+import html as htmllib
	34	+import json
	35	+import os
	36	+import re
	37	+
	38	+from ..schema import Vehicle
	39	+from .base import BaseConnector
	40	+
	41	+# chunks du flux RSC : self.__next_f.push([1,"<chaîne JS>"])
	42	+_FLIGHT_RE = re.compile(r'self\.__next_f\.push$\[1,("(?:\\.\|[^"\\])*")\]$')
	43	+
	44	+# non-automobiles éventuels (garde-fou ; le groupe ne vend que des autos)
	45	+_EXCLUDE_RE = re.compile(
	46	+ r"can-?am\|harley\|ski-?doo\|sea-?doo\|spyder\|ryker\|motoneige\|vtt\|"
	47	+ r"motomarine\|roulotte\|remorque", re.I)
	48	+
	49	+
	50	+def _js_str(literal: str) -> str:
	51	+ """Chaîne littérale JS (avec guillemets) -> texte. Les chunks RSC sont
	52	+ encodés comme du JSON ; repli tolérant si un escape non-JSON traîne."""
	53	+ try:
	54	+ return json.loads(literal)
	55	+ except ValueError:
	56	+ out = literal[1:-1].encode("utf-8").decode("unicode_escape")
	57	+ try: # unicode_escape mange l'UTF-8 -> réparer
	58	+ return out.encode("latin-1").decode("utf-8")
	59	+ except (UnicodeEncodeError, UnicodeDecodeError):
	60	+ return out
	61	+
	62	+
	63	+def _s(value) -> str:
	64	+ """Scalaire du flux RSC -> str propre ('$undefined', '$D...' -> '')."""
	65	+ if value is None:
	66	+ return ""
	67	+ text = str(value).strip()
	68	+ return "" if text.startswith("$") else text
	69	+
	70	+
	71	+def _strip_html(text: str \| None) -> str:
	72	+ """HTML (avec entités) -> texte brut compact."""
	73	+ if not text:
	74	+ return ""
	75	+ out = htmllib.unescape(str(text))
	76	+ out = re.sub(r"<[^>]+>", " ", out)
	77	+ return re.sub(r"\s{2,}", " ", out).strip()
	78	+
	79	+
	80	+# clé de cache détail stable : description/équipements ne changent pas pour
	81	+# une annonce donnée (bump en cas de changement de parsing)
	82	+_DETAIL_KEY = "v1"
	83	+
	84	+
	85	+class OccasionBeaucage(BaseConnector):
	86	+ """Occasion Beaucage — inventaire complet via les pages liste (RSC)."""
	87	+
	88	+ source_id = "occasionbeaucage"
	89	+ base_url = "https://www.occasionbeaucage.com"
	90	+ dealer_name = "Occasion Beaucage"
	91	+ request_delay = 1.0
	92	+ max_pages = 120 # garde-fou dur (~52 pages réelles)
	93	+ max_details = 200 # plafond de vraies requêtes détail/sync
	94	+
	95	+ # -- flux RSC ----------------------------------------------------------
	96	+ def _flight_blob(self, html: str) -> str:
	97	+ return "".join(_js_str(m) for m in _FLIGHT_RE.findall(html))
	98	+
	99	+ def _page_payload(self, page: int) -> dict:
	100	+ """{"vehicles": [...], "count": N, "page": n} de la page liste."""
	101	+ url = f"{self.base_url}/auto-usage/"
	102	+ if page > 1:
	103	+ url += f"{page}/"
	104	+ blob = self._flight_blob(self.get(url).text)
	105	+ decoder = json.JSONDecoder()
	106	+ for m in re.finditer(r'"vehicles":\[', blob):
	107	+ start = blob.rfind("{", 0, m.start())
	108	+ if start < 0:
	109	+ continue
	110	+ try:
	111	+ obj, _ = decoder.raw_decode(blob, start)
	112	+ except ValueError:
	113	+ continue
	114	+ if isinstance(obj, dict) and "count" in obj \
	115	+ and isinstance(obj.get("vehicles"), list):
	116	+ obj["_blob"] = blob # pour résoudre les refs $
	117	+ return obj
	118	+ return {}
	119	+
	120	+ @staticmethod
	121	+ def _resolve_ref(blob: str, ref: str):
	122	+ """«$313» -> payload JSON de la ligne RSC 313 (ex. liste de photos).
	123	+
	124	+ Les lignes à préfixe de longueur (T<hex>,) ne sont pas suivies d'un
	125	+ saut de ligne — on repère donc «<id>:» n'importe où et on valide en
	126	+ décodant le JSON qui suit (raw_decode s'arrête à la fin du tableau).
	127	+ """
	128	+ decoder = json.JSONDecoder()
	129	+ pattern = re.compile(re.escape(ref[1:]) + r':(?:T[0-9a-f]+,)?(?=[\["])')
	130	+ for row in pattern.finditer(blob):
	131	+ try:
	132	+ value, _ = decoder.raw_decode(blob, row.end())
	133	+ except ValueError:
	134	+ continue
	135	+ if isinstance(value, (list, str)):
	136	+ return value
	137	+ return None
	138	+
	139	+ @staticmethod
	140	+ def _flight_row(blob: str, ref: str):
	141	+ """«$21» -> contenu de la ligne RSC 21, y compris les lignes longues
	142	+ «21:T6bc,<texte>» dont la longueur T<hex> est en OCTETS UTF-8 et dont
	143	+ le contenu est du texte brut (HTML ou JSON sérialisé), sans saut de
	144	+ ligne final. Les lignes JSON classiques sont décodées directement."""
	145	+ rid = ref[1:]
	146	+ if not rid or not re.fullmatch(r"[0-9a-f]+", rid):
	147	+ return None # $undefined, $D…, etc.
	148	+ decoder = json.JSONDecoder()
	149	+ pattern = re.compile(
	150	+ r"(?<![0-9a-zA-Z_$])" + re.escape(rid) + r":(?:T([0-9a-f]+),)?")
	151	+ for m in pattern.finditer(blob):
	152	+ if m.group(1): # ligne longue à préfixe T<hex>
	153	+ length = int(m.group(1), 16)
	154	+ raw = blob[m.end():].encode("utf-8")[:length]
	155	+ return raw.decode("utf-8", errors="ignore")
	156	+ if blob[m.end():m.end() + 1] not in '["{':
	157	+ continue
	158	+ try:
	159	+ value, _ = decoder.raw_decode(blob, m.end())
	160	+ except ValueError:
	161	+ continue
	162	+ return value
	163	+ return None
	164	+
	165	+ # -- page détail -> payload (description complète + équipements) --------
	166	+ def _fetch_detail(self, slug: str) -> dict:
	167	+ blob = self._flight_blob(
	168	+ self.get(f"{self.base_url}/auto-usage/{slug}/").text)
	169	+ decoder = json.JSONDecoder()
	170	+ veh: dict \| None = None
	171	+ for m in re.finditer(r'"vehicle":\{', blob):
	172	+ try:
	173	+ obj, _ = decoder.raw_decode(blob, m.start() + len('"vehicle":'))
	174	+ except ValueError:
	175	+ continue
	176	+ if isinstance(obj, dict) and obj.get("slug"):
	177	+ veh = obj
	178	+ break
	179	+ if not veh:
	180	+ return {}
	181	+ payload: dict = {}
	182	+
	183	+ desc = veh.get("description")
	184	+ if isinstance(desc, str) and desc.startswith("$"):
	185	+ desc = self._flight_row(blob, desc)
	186	+ desc = _strip_html(desc if isinstance(desc, str) else "")
	187	+ if desc:
	188	+ payload["description"] = desc[:4000]
	189	+
	190	+ opts = veh.get("options")
	191	+ if isinstance(opts, str) and opts.startswith("$"):
	192	+ opts = self._flight_row(blob, opts)
	193	+ if isinstance(opts, str) and opts.lstrip().startswith("{"):
	194	+ try: # ligne longue = JSON sérialisé
	195	+ opts = json.loads(opts)
	196	+ except ValueError:
	197	+ opts = None
	198	+ if isinstance(opts, dict):
	199	+ opts = opts.get("fr") or opts.get("en") or ""
	200	+ if isinstance(opts, str) and opts:
	201	+ features = [f.strip() for f in opts.split("\|") if f.strip()]
	202	+ if features:
	203	+ payload["features"] = features[:60]
	204	+ return payload
	205	+
	206	+ # -- contrat -----------------------------------------------------------
	207	+ def fetch(self) -> list[Vehicle]:
	208	+ cap = int(os.environ.get("AUTOKA_MAX_PAGES", self.max_pages))
	209	+ vehicles: list[Vehicle] = []
	210	+ seen: set[str] = set()
	211	+
	212	+ page, last_page = 1, 1
	213	+ while page <= min(last_page, cap, self.max_pages):
	214	+ payload = self._page_payload(page)
	215	+ batch = payload.get("vehicles") or []
	216	+ if not batch:
	217	+ break
	218	+ per_page = max(len(batch), 1)
	219	+ count = int(payload.get("count") or 0)
	220	+ last_page = max(1, -(-count // per_page)) # ceil
	221	+ new = 0
	222	+ for d in batch:
	223	+ veh = self._to_vehicle(d, payload.get("_blob", ""))
	224	+ if veh is not None and veh.external_id not in seen:
	225	+ seen.add(veh.external_id)
	226	+ vehicles.append(veh)
	227	+ new += 1
	228	+ if new == 0: # page recyclée
	229	+ break
	230	+ page += 1
	231	+
	232	+ self._enrich_details(vehicles)
	233	+ return vehicles
	234	+
	235	+ # -- enrichissement détail plafonné (cache stable) -----------------------
	236	+ def _enrich_details(self, vehicles: list[Vehicle]) -> None:
	237	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	238	+ real_fetches = 0
	239	+ for veh in vehicles:
	240	+ slug = veh.url.rstrip("/").rsplit("/", 1)[-1]
	241	+ detail: dict = {}
	242	+ if real_fetches >= cap: # plafond : cache seulement
	243	+ from .. import db
	244	+ if self._detail_con is None:
	245	+ self._detail_con = db.connect()
	246	+ detail = db.get_cached_detail(
	247	+ self._detail_con, self.source_id,
	248	+ str(veh.external_id), _DETAIL_KEY) or {}
	249	+ else:
	250	+ def _fetch(s=slug):
	251	+ return self._fetch_detail(s)
	252	+ before = self._last_request
	253	+ try:
	254	+ detail = self.detail(veh.external_id, _DETAIL_KEY, _fetch)
	255	+ except Exception:
	256	+ detail = {} # page disparue : données liste
	257	+ if self._last_request != before:
	258	+ real_fetches += 1
	259	+ if not detail:
	260	+ continue
	261	+ desc = detail.get("description") or ""
	262	+ if len(desc) > len(veh.description or ""):
	263	+ veh.description = desc
	264	+ if detail.get("features") and not veh.features:
	265	+ veh.features = list(detail["features"])
	266	+
	267	+ # -- enregistrement liste -> Vehicle -------------------------------------
	268	+ def _to_vehicle(self, d: dict, blob: str) -> Vehicle \| None:
	269	+ if d.get("is_sold") or d.get("is_active") is False:
	270	+ return None
	271	+
	272	+ slug = _s(d.get("slug"))
	273	+ ext_id = _s(d.get("inventory_provider_vehicle_id")) or slug
	274	+ if not ext_id or not slug:
	275	+ return None
	276	+
	277	+ make = _s(d.get("make"))
	278	+ model = _s(d.get("model"))
	279	+ body = _s(d.get("body_type"))
	280	+ if _EXCLUDE_RE.search(f"{make} {model} {body}"): # non-automobile
	281	+ return None
	282	+
	283	+ year = d.get("year")
	284	+ trim = _s(d.get("trim"))
	285	+ title = " ".join(x for x in (make, model, trim, _s(year)) if x)
	286	+
	287	+ price = d.get("price")
	288	+ try:
	289	+ price = float(price) if price else None
	290	+ except (TypeError, ValueError):
	291	+ price = None
	292	+
	293	+ km = d.get("mileage_from_odometer")
	294	+ try:
	295	+ km = float(km) if km not in (None, "") else None
	296	+ except (TypeError, ValueError):
	297	+ km = None
	298	+
	299	+ images = d.get("images")
	300	+ if isinstance(images, str) and images.startswith("$"):
	301	+ images = self._resolve_ref(blob, images)
	302	+ if isinstance(images, str) and images.lstrip().startswith("["):
	303	+ try: # parfois une liste JSON sérialisée
	304	+ images = json.loads(images)
	305	+ except ValueError:
	306	+ images = []
	307	+ if isinstance(images, str):
	308	+ images = [images]
	309	+ images = [u for u in (images or []) if isinstance(u, str)][:20]
	310	+
	311	+ doors = d.get("doors")
	312	+ seats = d.get("seating_capacity")
	313	+
	314	+ details: dict = {}
	315	+ for src, dst in (("is_certified", "certified"),
	316	+ ("is_accidented", "accidented"),
	317	+ ("is_unique_owner", "unique_owner")):
	318	+ if d.get(src) is not None:
	319	+ details[dst] = bool(d[src])
	320	+ if _s(d.get("fuel_consumption_city")):
	321	+ details["consumption_city_l_100km"] = _s(d["fuel_consumption_city"])
	322	+ if _s(d.get("fuel_consumption_highway")):
	323	+ details["consumption_hwy_l_100km"] = _s(d["fuel_consumption_highway"])
	324	+ promo = _s(d.get("promotional_price"))
	325	+ if promo and promo not in ("0", "0.0"):
	326	+ details["promotional_price"] = promo
	327	+ if _s(d.get("dealer_id")):
	328	+ details["branch_slug"] = _s(d["dealer_id"])
	329	+
	330	+ return Vehicle(
	331	+ source=self.source_id,
	332	+ external_id=ext_id,
	333	+ url=f"{self.base_url}/auto-usage/{slug}/",
	334	+ title=title,
	335	+ make=make,
	336	+ model=model,
	337	+ trim=trim,
	338	+ year=int(year) if year else None,
	339	+ price=price,
	340	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	341	+ mileage_km=km,
	342	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	343	+ transmission=_s(d.get("transmission")),
	344	+ fuel=_s(d.get("fuel_type")),
	345	+ drivetrain=_s(d.get("drive_wheel_configuration")),
	346	+ body_type=body,
	347	+ exterior_color=_s(d.get("exterior_color")),
	348	+ interior_color=_s(d.get("interior_color")),
	349	+ engine=_s(d.get("engine_type")),
	350	+ doors=int(doors) if doors else None,
	351	+ seats=int(seats) if seats else None,
	352	+ vin=_s(d.get("vin")),
	353	+ stock_number=_s(d.get("stock_number")),
	354	+ dealer_name=_s(d.get("display_dealer_name")) or
	355	+ _s(d.get("dealer_name")) or self.dealer_name,
	356	+ city=_s(d.get("display_city")) or _s(d.get("city")),
	357	+ description=_s(d.get("short_description"))[:4000],
	358	+ details=details,
	359	+ images=images,
	360	+ carfax_url=_s(d.get("carfax_url")),
	361	+ )

added apps/auto/autoka/connectors/occasioncharlevoix.py +199 −0

		`@@ -0,0 +1,199 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/occasioncharlevoix.py : connecteur Occasion Charlevoix
	5	+# (occasioncharlevoix.com), regroupement de concessionnaires d'occasion de
	6	+# Baie-Saint-Paul (Charlevoix, Capitale-Nationale) — ~30 véhicules.
	7	+#
	8	+# Plateforme : OctoberCMS, thème « nerd2 » + plugins nerd/inventory
	9	+# (plateforme québécoise NerdAuto). La page liste /fr/inventaire/occasion
	10	+# est ENTIÈREMENT rendue côté serveur : chaque carte (div.vrp4-card)
	11	+# contient marque, modèle, version, année, no de stock, kilométrage, photos
	12	+# (carrousel) et un bloc « Autoverify » (div.av-srp-ecomm) avec VIN et prix
	13	+# réel (data-av-price — le prix affiché en gros est un paiement périodique).
	14	+#
	15	+# La page détail complète (cache BD, clé statique v1) : transmission,
	16	+# cylindrée, motricité, couleurs, catégorie, lien Carfax.
	17	+# -----------------------------------------------------------------------------
	18	+from __future__ import annotations
	19	+
	20	+import os
	21	+import re
	22	+
	23	+from ..schema import Vehicle, parse_mileage
	24	+from .base import BaseConnector
	25	+
	26	+# garde-fou non-automobile
	27	+_EXCLUDE_RE = re.compile(
	28	+ r"motoneige\|vtt\|moto\b\|motomarine\|bateau\|roulotte\|remorque\|spyder", re.I)
	29	+
	30	+_SPEC_RE = re.compile(
	31	+ r'class="specs-name[^"]">\s([^<]+?)\s</div>\s'
	32	+ r'<div class="specs-info[^"]">\s([^<]?)\s<', re.S)
	33	+
	34	+_CARFAX_RE = re.compile(r'data-lien-carfax="([^"]+)"')
	35	+
	36	+_AV_DETAIL_RE = re.compile(
	37	+ r'id="av_vehicle_information"[^>]data-av-mileage="([^"])"')
	38	+
	39	+
	40	+def _txt(node) -> str:
	41	+ return re.sub(r"\s+", " ", node.get_text(" ", strip=True)) if node else ""
	42	+
	43	+
	44	+class OccasionCharlevoix(BaseConnector):
	45	+ """Occasion Charlevoix — cartes liste rendues serveur (OctoberCMS nerd)."""
	46	+
	47	+ source_id = "occasioncharlevoix"
	48	+ base_url = "https://www.occasioncharlevoix.com"
	49	+ dealer_name = "Occasion Charlevoix"
	50	+ city = "Baie-Saint-Paul"
	51	+ request_delay = 1.0
	52	+ max_details = 200
	53	+
	54	+ def fetch(self) -> list[Vehicle]:
	55	+ from bs4 import BeautifulSoup
	56	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	57	+ html = self.get(f"{self.base_url}/fr/inventaire/occasion").text
	58	+ soup = BeautifulSoup(html, "html.parser")
	59	+
	60	+ vehicles: list[Vehicle] = []
	61	+ seen: set[str] = set()
	62	+ real_fetches = 0
	63	+ for card in soup.select("div.vrp4-card"):
	64	+ try:
	65	+ veh = self._card_to_vehicle(card)
	66	+ except Exception:
	67	+ continue # carte malformée isolée
	68	+ if veh is None or veh.external_id in seen:
	69	+ continue
	70	+ seen.add(veh.external_id)
	71	+
	72	+ # enrichissement page détail (transmission, couleurs, carfax…)
	73	+ if real_fetches < cap:
	74	+ url = veh.url
	75	+
	76	+ def _fetch(u=url):
	77	+ return self._fetch_detail(u)
	78	+
	79	+ try:
	80	+ extra = self.detail(veh.external_id, "v1", _fetch)
	81	+ real_fetches += 1
	82	+ self._apply_detail(veh, extra)
	83	+ except Exception:
	84	+ real_fetches += 1 # ne jamais bloquer la source
	85	+ vehicles.append(veh)
	86	+ return vehicles
	87	+
	88	+ # -- carte liste -> Vehicle -------------------------------------------------
	89	+ def _card_to_vehicle(self, card) -> Vehicle \| None:
	90	+ link = card.select_one("a.vrp4-card-header[href]")
	91	+ if link is None:
	92	+ return None
	93	+ url = link["href"]
	94	+ if "/inventaire/vehicule/" not in url:
	95	+ return None
	96	+ if url.startswith("/"):
	97	+ url = self.base_url + url
	98	+
	99	+ # /fr/inventaire/vehicule/occasion/<stock>/<marque>/<modèle>/…
	100	+ m = re.search(r"/vehicule/[^/]+/([^/]+)/", url)
	101	+ ext_id = m.group(1) if m else url.rstrip("/").rsplit("/", 1)[-1]
	102	+
	103	+ make = _txt(card.select_one(".car-make"))
	104	+ model = _txt(card.select_one(".car-model"))
	105	+ trim = _txt(card.select_one(".car-trim"))
	106	+ if _EXCLUDE_RE.search(f"{make} {model} {trim}"):
	107	+ return None
	108	+
	109	+ year_txt = _txt(card.select_one(".car-year"))
	110	+ year = int(year_txt) if year_txt.isdigit() else None
	111	+
	112	+ stock = _txt(card.select_one(".car-stock")).lstrip("#")
	113	+ odo_label = _txt(card.select_one(".car-odometer"))
	114	+ km = parse_mileage(odo_label)
	115	+
	116	+ # bloc Autoverify : VIN + prix réel (le prix visible est un paiement)
	117	+ vin, price = "", None
	118	+ av = card.select_one(".av-srp-ecomm")
	119	+ if av is not None:
	120	+ vin = (av.get("data-av-vin") or "").strip().upper()
	121	+ try:
	122	+ price = float(av.get("data-av-price") or 0) or None
	123	+ except ValueError:
	124	+ price = None
	125	+ # garde-fou : < 1 500 $ = paiement périodique saisi comme prix
	126	+ if price is not None and price < 1500:
	127	+ price = None
	128	+
	129	+ images = []
	130	+ for img in card.select("img.car-img[src]"):
	131	+ src = img["src"]
	132	+ if src.startswith("/"):
	133	+ src = self.base_url + src
	134	+ if src not in images:
	135	+ images.append(src)
	136	+
	137	+ title = " ".join(x for x in (make, model, trim, year_txt) if x)
	138	+ if not title:
	139	+ return None
	140	+
	141	+ return Vehicle(
	142	+ source=self.source_id,
	143	+ external_id=ext_id,
	144	+ url=url,
	145	+ title=title,
	146	+ make=make,
	147	+ model=model,
	148	+ trim=trim,
	149	+ year=year,
	150	+ price=price,
	151	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	152	+ mileage_km=km,
	153	+ mileage_label=odo_label,
	154	+ vin=vin,
	155	+ stock_number=stock or ext_id.upper(),
	156	+ dealer_name=self.dealer_name,
	157	+ city=self.city,
	158	+ images=images[:20],
	159	+ )
	160	+
	161	+ # -- page détail -------------------------------------------------------------
	162	+ def _fetch_detail(self, url: str) -> dict:
	163	+ html = self.get(url).text
	164	+ payload: dict = {"specs": {}}
	165	+ for name, value in _SPEC_RE.findall(html):
	166	+ payload["specs"][name.rstrip(": ").strip()] = value.strip()
	167	+ m = _CARFAX_RE.search(html)
	168	+ if m:
	169	+ payload["carfax"] = m.group(1)
	170	+ m = _AV_DETAIL_RE.search(html)
	171	+ if m and m.group(1):
	172	+ payload["mileage"] = m.group(1)
	173	+ return payload
	174	+
	175	+ def _apply_detail(self, veh: Vehicle, extra: dict) -> None:
	176	+ specs = (extra or {}).get("specs") or {}
	177	+ for name, value in specs.items():
	178	+ low = name.lower()
	179	+ if not value or value.lower() in ("autre", "n/d", "s/o"):
	180	+ continue
	181	+ if "transmission" in low and not veh.transmission:
	182	+ veh.transmission = value
	183	+ elif "motricit" in low and not veh.drivetrain:
	184	+ veh.drivetrain = value
	185	+ elif "cat" in low and not veh.body_type:
	186	+ veh.body_type = value
	187	+ elif "cylindr" in low and not veh.engine:
	188	+ veh.engine = value
	189	+ elif "ext" in low and "couleur" in low and not veh.exterior_color:
	190	+ veh.exterior_color = value
	191	+ elif "int" in low and "couleur" in low and not veh.interior_color:
	192	+ veh.interior_color = value
	193	+ if extra.get("carfax") and not veh.carfax_url:
	194	+ veh.carfax_url = extra["carfax"]
	195	+ if veh.mileage_km is None and extra.get("mileage"):
	196	+ try:
	197	+ veh.mileage_km = float(extra["mileage"])
	198	+ except ValueError:
	199	+ pass

added apps/auto/autoka/connectors/okaze.py +128 −0

		`@@ -0,0 +1,128 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/okaze.py : OKAZE (Saguenay) — site Webflow (CMS w-dyn-list).
	5	+#
	6	+# Stratégie : la page /inventaire est rendue côté serveur avec TOUTES les
	7	+# annonces (pas de pagination). Chaque carte embarque un <script> inline qui
	8	+# pose des attributs data-* dont `data-search` : une chaîne CSV complète —
	9	+# nom, année, carrosserie, catégorie, couleur ext., couleur int., marque,
	10	+# modèle, moteur, portes, km, prix, motricité, transmission, carburant.
	11	+# On parse ces cartes en HTML brut (regex) : une seule requête par sync.
	12	+# -----------------------------------------------------------------------------
	13	+from __future__ import annotations
	14	+
	15	+import re
	16	+
	17	+from ..schema import Vehicle
	18	+from .base import BaseConnector
	19	+
	20	+# OKAZE « vend tout » : écarter les catégories non automobiles
	21	+_EXCLUDE_RE = re.compile(
	22	+ r"motoneige\|vtt\|bateau\|ponton\|motomarine\|\bmoto\b\|roulotte\|remorque\|"
	23	+ r"\bvr\b\|campeur\|tracteur\|souffleuse\|scooter\|spyder\|side-by-side\|atv",
	24	+ re.I)
	25	+
	26	+_CARD_SPLIT = re.compile(r'class="item-inventaire w-dyn-item"')
	27	+_HREF_RE = re.compile(r'href="(/vehicules/[^"]+)"')
	28	+_IMG_RE = re.compile(r'<img src="(https://[^"]+)"')
	29	+_ATTR_RE = re.compile(
	30	+ r"item\.setAttribute$'data-([a-z-]+)',\s(?:formatDate)?\(\"(.?)\"$",
	31	+ re.S)
	32	+
	33	+
	34	+class Okaze(BaseConnector):
	35	+ source_id = "okaze"
	36	+ base_url = "https://www.okaze.ca"
	37	+ dealer_name = "OKAZE"
	38	+ city = "Saguenay"
	39	+ request_delay: float = 1.0
	40	+
	41	+ def fetch(self) -> list[Vehicle]:
	42	+ html = self.get(f"{self.base_url}/inventaire").text
	43	+ vehicles: list[Vehicle] = []
	44	+ for block in _CARD_SPLIT.split(html)[1:]:
	45	+ veh = self._parse_card(block)
	46	+ if veh is not None:
	47	+ vehicles.append(veh)
	48	+ return vehicles
	49	+
	50	+ def _parse_card(self, block: str) -> Vehicle \| None:
	51	+ m = _HREF_RE.search(block)
	52	+ if not m:
	53	+ return None
	54	+ path = m.group(1)
	55	+ ext_id = path.rstrip("/").rsplit("/", 1)[-1]
	56	+
	57	+ attrs = {name: value for name, value in _ATTR_RE.findall(block)}
	58	+ title = " ".join((attrs.get("name") or "").split())
	59	+ search = attrs.get("search") or ""
	60	+ fields = [f.strip() for f in search.split(",")]
	61	+
	62	+ # data-search : positions fixes quand la fiche est complète (15 champs)
	63	+ body = category = ext_color = int_color = engine = ""
	64	+ drivetrain = transmission = fuel = ""
	65	+ doors = km = None
	66	+ if len(fields) >= 15:
	67	+ (_, _, body, category, ext_color, int_color, _, _,
	68	+ engine) = fields[:9]
	69	+ drivetrain, transmission, fuel = fields[-3:]
	70	+ try:
	71	+ doors = int(fields[9]) or None
	72	+ except ValueError:
	73	+ doors = None
	74	+ try:
	75	+ km = float(fields[10])
	76	+ except ValueError:
	77	+ km = None
	78	+ else: # fiche partielle : heuristiques
	79	+ for f in fields:
	80	+ if re.fullmatch(r"\d{2,6}", f) and km is None:
	81	+ km = float(f)
	82	+ elif "intégrale" in f.lower() or "traction" in f.lower() \
	83	+ or "propulsion" in f.lower():
	84	+ drivetrain = f
	85	+ elif f.lower() in ("automatique", "manuelle", "cvt"):
	86	+ transmission = f
	87	+
	88	+ if _EXCLUDE_RE.search(f"{title} {category} {body}"):
	89	+ return None
	90	+ if not title:
	91	+ return None
	92	+
	93	+ price_label = attrs.get("price", "")
	94	+ if not price_label:
	95	+ pm = re.search(r'class="inventory-price"[^>]*>([^<]+)<', block)
	96	+ price_label = pm.group(1).strip() if pm else ""
	97	+
	98	+ details = {}
	99	+ if category:
	100	+ details["category"] = category
	101	+ if attrs.get("added"):
	102	+ details["listed_date"] = attrs["added"]
	103	+
	104	+ img = _IMG_RE.search(block)
	105	+
	106	+ return Vehicle(
	107	+ source=self.source_id,
	108	+ external_id=ext_id,
	109	+ url=f"{self.base_url}{path}",
	110	+ title=title,
	111	+ make=attrs.get("brand", "").title(),
	112	+ model=attrs.get("model", ""),
	113	+ price_label=price_label,
	114	+ mileage_km=km,
	115	+ mileage_label=(f"{km:,.0f} km".replace(",", " ") if km else ""),
	116	+ transmission=transmission,
	117	+ fuel=fuel,
	118	+ drivetrain=drivetrain,
	119	+ body_type=body,
	120	+ exterior_color=ext_color.capitalize(),
	121	+ interior_color=int_color.capitalize(),
	122	+ engine=engine,
	123	+ doors=doors,
	124	+ dealer_name=self.dealer_name,
	125	+ city=self.city,
	126	+ details=details,
	127	+ images=[img.group(1)] if img else [],
	128	+ )

added apps/auto/autoka/connectors/ototr.py +174 −0

		`@@ -0,0 +1,174 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/ototr.py : OTO Trois-Rivières — WordPress, thème « Motors »
	5	+# (stm_vehicles_listing). Pas d'API REST exposée ni de JSON-LD.
	6	+#
	7	+# Stratégie : le sitemap natif WP `/wp-sitemap-posts-listings-1.xml` recense
	8	+# les annonces (/listings/<slug>/). Chaque page détail est parsée en HTML
	9	+# (BeautifulSoup) : h1 = titre, .single-regular-price = prix, tableau
	10	+# .single-car-data = fiche technique (Odomètre, Carburant, Transmission,
	11	+# Propulsion, Carrosserie, Moteur, Couleurs…). Pages détail en cache BD
	12	+# (clé hebdomadaire).
	13	+# -----------------------------------------------------------------------------
	14	+from __future__ import annotations
	15	+
	16	+import datetime
	17	+import os
	18	+import re
	19	+
	20	+from bs4 import BeautifulSoup
	21	+
	22	+from ..schema import Vehicle
	23	+from .base import BaseConnector
	24	+
	25	+_EXCLUDE_RE = re.compile(
	26	+ r"motoneige\|vtt\|bateau\|ponton\|motomarine\|\bmoto\b\|roulotte\|remorque\|"
	27	+ r"campeur\|tracteur\|souffleuse\|scooter\|spyder\|atv", re.I)
	28	+
	29	+# vignettes WordPress (-350x205 etc.) à écarter de la galerie
	30	+_THUMB_RE = re.compile(r"-\d{2,4}x\d{2,4}\.(?:jpe?g\|png\|webp)$", re.I)
	31	+
	32	+# libellés de la fiche technique -> champ Vehicle
	33	+_SPEC_FIELDS = {
	34	+ "carrosserie": "body_type",
	35	+ "carburant": "fuel",
	36	+ "transmission": "transmission",
	37	+ "propulsion": "drivetrain",
	38	+ "moteur": "engine",
	39	+ "couleur exterieure": "exterior_color",
	40	+ "couleur interieure": "interior_color",
	41	+}
	42	+
	43	+
	44	+def _flat(text: str) -> str:
	45	+ from ..schema import strip_accents
	46	+ return strip_accents(" ".join(text.split())).strip().lower()
	47	+
	48	+
	49	+class OtoTroisRivieres(BaseConnector):
	50	+ source_id = "ototroisrivieres"
	51	+ base_url = "https://ototroisrivieres.com"
	52	+ dealer_name = "OTO Trois-Rivières"
	53	+ city = "Trois-Rivières"
	54	+ request_delay: float = 1.0
	55	+ max_details = 200
	56	+
	57	+ # -- sitemap ----------------------------------------------------------------
	58	+ def _vehicle_urls(self) -> list[str]:
	59	+ xml = self.get(f"{self.base_url}/wp-sitemap-posts-listings-1.xml").text
	60	+ return [loc.strip() for loc in re.findall(r"<loc>([^<]+)</loc>", xml)
	61	+ if "/listings/" in loc]
	62	+
	63	+ # -- page détail -> payload dict ---------------------------------------------
	64	+ def _fetch_detail(self, url: str) -> dict:
	65	+ soup = BeautifulSoup(self.get(url).text, "html.parser")
	66	+ payload: dict = {"specs": {}}
	67	+
	68	+ h1 = soup.find("h1")
	69	+ if h1:
	70	+ payload["title"] = " ".join(h1.get_text(" ", strip=True).split())
	71	+
	72	+ price_el = soup.select_one(".single-regular-price")
	73	+ if price_el:
	74	+ payload["price_label"] = price_el.get_text(" ", strip=True)
	75	+
	76	+ for row in soup.select(".single-car-data tr"):
	77	+ label = row.select_one(".t-label")
	78	+ value = row.select_one(".t-value")
	79	+ if label and value:
	80	+ payload["specs"][label.get_text(" ", strip=True)] = \
	81	+ value.get_text(" ", strip=True)
	82	+
	83	+ og_desc = soup.find("meta", attrs={"property": "og:description"})
	84	+ if og_desc and og_desc.get("content"):
	85	+ payload["description"] = og_desc["content"]
	86	+
	87	+ seen: set[str] = set()
	88	+ images = []
	89	+ candidates = [img.get("src") or img.get("data-src") or ""
	90	+ for img in soup.find_all("img")]
	91	+ candidates += [a.get("href") or "" for a in soup.find_all("a")]
	92	+ for src in candidates:
	93	+ if "/wp-content/uploads/" not in src or _THUMB_RE.search(src) \
	94	+ or not re.search(r"\.(?:jpe?g\|png\|webp)$", src, re.I):
	95	+ continue
	96	+ if src not in seen:
	97	+ seen.add(src)
	98	+ images.append(src)
	99	+ payload["images"] = images[:20]
	100	+ return payload
	101	+
	102	+ # -- contrat -----------------------------------------------------------------
	103	+ def fetch(self) -> list[Vehicle]:
	104	+ urls = self._vehicle_urls()
	105	+ week = datetime.date.today().isocalendar()
	106	+ cache_key = f"v1:{week.year}w{week.week}"
	107	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	108	+
	109	+ vehicles: list[Vehicle] = []
	110	+ real_fetches = 0
	111	+ for url in urls:
	112	+ ext_id = url.rstrip("/").rsplit("/", 1)[-1]
	113	+
	114	+ def _fetch(u=url):
	115	+ return self._fetch_detail(u)
	116	+
	117	+ if real_fetches >= cap: # plafond : cache seulement
	118	+ from .. import db
	119	+ if self._detail_con is None:
	120	+ self._detail_con = db.connect()
	121	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	122	+ ext_id, cache_key)
	123	+ if data is None:
	124	+ continue
	125	+ else:
	126	+ before = self._last_request
	127	+ data = self.detail(ext_id, cache_key, _fetch)
	128	+ if self._last_request != before:
	129	+ real_fetches += 1
	130	+ if not data or not data.get("title"):
	131	+ continue
	132	+ veh = self._to_vehicle(ext_id, url, data)
	133	+ if veh is not None:
	134	+ vehicles.append(veh)
	135	+ return vehicles
	136	+
	137	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	138	+ title = d.get("title", "")
	139	+ if not title or _EXCLUDE_RE.search(title):
	140	+ return None
	141	+ if re.search(r"vendu", title, re.I): # annonce conservée mais vendue
	142	+ return None
	143	+ title = re.sub(r"\+\s", " ", title).strip()
	144	+
	145	+ fields = {"body_type": "", "fuel": "", "transmission": "",
	146	+ "drivetrain": "", "engine": "", "exterior_color": "",
	147	+ "interior_color": ""}
	148	+ mileage_label = ""
	149	+ details: dict = {}
	150	+ for label, value in (d.get("specs") or {}).items():
	151	+ key = _flat(label)
	152	+ if key.startswith("odom"):
	153	+ # le thème affiche « 10500 KMkm » — garder tel quel,
	154	+ # parse_mileage s'en accommode
	155	+ mileage_label = value
	156	+ elif key in _SPEC_FIELDS:
	157	+ fields[_SPEC_FIELDS[key]] = value
	158	+ else:
	159	+ details[label] = value
	160	+
	161	+ return Vehicle(
	162	+ source=self.source_id,
	163	+ external_id=ext_id,
	164	+ url=url,
	165	+ title=title.title() if title.isupper() else title,
	166	+ price_label=d.get("price_label", ""),
	167	+ mileage_label=mileage_label,
	168	+ dealer_name=self.dealer_name,
	169	+ city=self.city,
	170	+ description=" ".join(str(d.get("description") or "").split())[:4000],
	171	+ details=details,
	172	+ images=d.get("images") or [],
	173	+ **fields,
	174	+ )

added apps/auto/autoka/connectors/sm360_dealers.py +567 −0

		`@@ -0,0 +1,567 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/sm360_dealers.py : connecteurs des concessionnaires sur plateforme
	5	+# SM360 / 360.agency (fournisseur de sites très répandu chez les
	6	+# concessionnaires franchisés au Québec).
	7	+#
	8	+# Stratégie : le sitemap (/fr/sitemap-xml) recense chaque page véhicule
	9	+# d'occasion (/fr/inventaire-occasion/<marque>/<modèle>/<slug>-id<digits>).
	10	+# Chaque page détail est server-rendered et expose :
	11	+# 1. un JSON-LD schema.org (@type Car) : prix, km, VIN, transmission,
	12	+# carrosserie, couleurs, portes/places, moteur, succursale vendeuse ;
	13	+# 2. un dataLayer JS : stockNo, isNew/isDemo, catégorie de véhicule,
	14	+# carburant, succursale (utile pour les groupes multi-succursales) ;
	15	+# 3. la galerie photo complète (img.sm360.ca/…/images/inventory/…) ;
	16	+# 4. le lien Carfax le cas échéant.
	17	+# Les pages détail sont mises en cache BD (clé hebdomadaire) : seuls les
	18	+# nouveaux véhicules — et une revalidation par semaine pour les prix —
	19	+# génèrent de vraies requêtes.
	20	+#
	21	+# En complément, l'API GraphQL publique que le site utilise lui-même
	22	+# (webauto-supplier-api.sm360.ca — celle des widgets VDP) donne pour chaque
	23	+# id : la liste d'équipements (options.labels), la galerie complète
	24	+# (multimedia.pictures — indispensable pour les gabarits dont la galerie
	25	+# n'est PAS server-rendered : touteslesmarques, spinelli, rivesudchrysler,
	26	+# toyotagatineau) et une description/tagline de repli. Un POST par véhicule,
	27	+# mis en cache avec le même payload hebdomadaire.
	28	+#
	29	+# Le listing lui-même est un widget JS (GraphQL webauto-supplier-api) —
	30	+# inutile ici, le sitemap suffit. robots.txt : Allow /?page= et //api/,
	31	+# Crawl-delay 10 → délai généreux + cache détail.
	32	+# -----------------------------------------------------------------------------
	33	+from __future__ import annotations
	34	+
	35	+import datetime
	36	+import html as htmllib
	37	+import json
	38	+import os
	39	+import re
	40	+import time
	41	+
	42	+import requests
	43	+
	44	+from ..schema import Vehicle
	45	+from .base import BaseConnector
	46	+
	47	+# URLs de véhicules d'occasion dans le sitemap (jamais catalogue-neuf /
	48	+# inventaire-neuf, donc jamais de véhicules neufs)
	49	+_VEH_URL_RE = re.compile(r"/fr/inventaire-occasion/.+-id(\d+)/?$")
	50	+
	51	+# segments marque/modèle qui ne sont PAS des automobiles (récréatif)
	52	+_EXCLUDE_SEGMENTS = re.compile(
	53	+ r"ski-?doo\|sea-?doo\|can-?am\|polaris\|arctic-?cat\|lynx\|brp\|harley\|"
	54	+ r"kawasaki\|suzuki-moto\|ktm\|husqvarna\|triumph\|ducati\|vespa\|"
	55	+ r"motoneige\|vtt\|moto(?:s)?\b\|motomarine\|bateau\|ponton\|roulotte\|"
	56	+ r"remorque\|\bvr\b\|campeur\|spyder\|ryker\|side-?by-?side\|atv\|snow\|"
	57	+ r"powersport\|nautique", re.I)
	58	+
	59	+# catégories dataLayer non automobiles (par prudence — normalement le
	60	+# sitemap /fr/inventaire-occasion ne contient que des autos)
	61	+_EXCLUDE_CATEGORIES = {
	62	+ "motorcycle", "atv", "snowmobile", "watercraft", "boat", "rv",
	63	+ "trailer", "sxs", "utv", "scooter", "powersport",
	64	+}
	65	+
	66	+_LD_RE = re.compile(
	67	+ r'<script type=["\']application/ld\+json["\']>(.*?)</script>', re.S)
	68	+
	69	+# galerie photo : URLs img.sm360.ca, avec ou sans préfixe resizer /ir/wNNN/
	70	+_IMG_RE = re.compile(
	71	+ r'https://img\.sm360\.ca/(?:ir/[a-zA-Z0-9]+/)?'
	72	+ r'(images/inventory/[^"\'\s<>\\]+\.(?:jpe?g\|png\|webp))', re.I)
	73	+
	74	+_CARFAX_RE = re.compile(r'https?://(?:vhr\.)?carfax\.ca/[^\s"\'<>]+', re.I)
	75	+
	76	+# API GraphQL publique des widgets SM360 (celle que la page détail utilise
	77	+# elle-même pour afficher équipements et galerie) — id = id inventaire global
	78	+_GRAPHQL_API = "https://webauto-supplier-api.sm360.ca/webauto/graphql"
	79	+_GQL_VEHICLE = ("{ vehicle(id: %d) { description tagline "
	80	+ "options { labels } multimedia { pictures { url } } } }")
	81	+
	82	+# clés extraites du dataLayer JS de la page détail (valeurs 'entre quotes')
	83	+_DL_KEYS = (
	84	+ "salePrice", "regularPrice", "mileage", "stockNo", "vehicleVin",
	85	+ "isNew", "isDemo", "vehicleCategory", "condition", "vehicleLocation",
	86	+ "vehicleFuelType", "transmission", "trim", "make", "model", "year",
	87	+)
	88	+
	89	+_DRIVE_MAP = {
	90	+ "FrontWheelDriveConfiguration": "Traction",
	91	+ "RearWheelDriveConfiguration": "Propulsion",
	92	+ "AllWheelDriveConfiguration": "Intégrale / 4x4",
	93	+ "FourWheelDriveConfiguration": "Intégrale / 4x4",
	94	+}
	95	+
	96	+
	97	+def _clean(text: str \| None) -> str:
	98	+ """Désencode les entités HTML et retire balises / « s/o » SM360."""
	99	+ if not text:
	100	+ return ""
	101	+ out = htmllib.unescape(htmllib.unescape(str(text)))
	102	+ out = re.sub(r"<[^>]+>", " ", out)
	103	+ out = re.sub(r"\s{2,}", " ", out).strip()
	104	+ return "" if out.lower() in ("s/o", "n/d", "n/a") else out
	105	+
	106	+
	107	+def _num(value) -> float \| None:
	108	+ """float() tolérant ; 0 et négatif → None (SM360 met 0 = prix caché)."""
	109	+ try:
	110	+ f = float(value)
	111	+ except (TypeError, ValueError):
	112	+ return None
	113	+ return f if f > 0 else None
	114	+
	115	+
	116	+class SM360Connector(BaseConnector):
	117	+ """Base commune aux sites SM360 / 360.agency. Sous-classes : base_url…"""
	118	+
	119	+ base_url: str = ""
	120	+ dealer_name: str = ""
	121	+ city: str = ""
	122	+ request_delay: float = 1.5 # robots.txt SM360 demande de la patience
	123	+ use_firecrawl: bool = False # au cas où un site passe sous Cloudflare
	124	+
	125	+ # plafond de vraies requêtes détail par sync (AUTOKA_MAX_DETAILS le réduit
	126	+ # pour les tests) — le reste sera complété aux syncs suivants
	127	+ max_details = 600
	128	+
	129	+ def _get_text(self, url: str) -> str:
	130	+ if self.use_firecrawl:
	131	+ return self.get_rendered(url)
	132	+ try:
	133	+ return self.get(url).text
	134	+ except requests.exceptions.ConnectionError:
	135	+ # le serveur SM360 ferme parfois la connexion keep-alive : on
	136	+ # repart sur une connexion neuve et on réessaie une fois
	137	+ self.session.close()
	138	+ time.sleep(2.0)
	139	+ return self.get(url).text
	140	+
	141	+ # -- sitemap ---------------------------------------------------------------
	142	+ def _vehicle_urls(self) -> list[str]:
	143	+ xml = self._get_text(f"{self.base_url}/fr/sitemap-xml")
	144	+ urls: list[str] = []
	145	+ for loc in re.findall(r"<loc>([^<]+)</loc>", xml):
	146	+ loc = loc.strip()
	147	+ if not _VEH_URL_RE.search(loc):
	148	+ continue
	149	+ # segments /fr/inventaire-occasion/<marque>/<modèle>/<slug>
	150	+ path = loc.split("/fr/inventaire-occasion/", 1)[1]
	151	+ segments = path.split("/")[:-1]
	152	+ if any(_EXCLUDE_SEGMENTS.search(s) for s in segments):
	153	+ continue
	154	+ urls.append(loc)
	155	+ return urls
	156	+
	157	+ # -- page détail -> payload (JSON-LD + dataLayer + galerie + carfax) --------
	158	+ def _fetch_detail(self, url: str, ext_id: str) -> dict:
	159	+ html = self._get_text(url)
	160	+ payload: dict = {"ld": {}, "dl": {}, "images": [], "carfax": ""}
	161	+
	162	+ for block in _LD_RE.findall(html):
	163	+ try:
	164	+ data = json.loads(block.strip(), strict=False)
	165	+ except ValueError:
	166	+ continue
	167	+ items = data if isinstance(data, list) else [data]
	168	+ for item in items:
	169	+ if not isinstance(item, dict):
	170	+ continue
	171	+ types = item.get("@type")
	172	+ types = types if isinstance(types, list) else [types]
	173	+ if "Car" in types or "Vehicle" in types:
	174	+ payload["ld"] = item
	175	+ break
	176	+ if payload["ld"]:
	177	+ break
	178	+
	179	+ for key in _DL_KEYS:
	180	+ m = re.search(r"\b" + key + r"\s:\s'((?:[^'\\]\|\\.)*)'", html)
	181	+ if m:
	182	+ payload["dl"][key] = m.group(1).replace("\\'", "'").strip()
	183	+
	184	+ # galerie : uniquement les photos de CE véhicule, sans préfixe resizer,
	185	+ # triées par index _NNN de fin de nom de fichier
	186	+ seen: set[str] = set()
	187	+ images: list[str] = []
	188	+ for path in _IMG_RE.findall(html):
	189	+ if f"/{ext_id}/" not in path:
	190	+ continue
	191	+ full = "https://img.sm360.ca/" + path
	192	+ if full not in seen:
	193	+ seen.add(full)
	194	+ images.append(full)
	195	+
	196	+ def _idx(u: str) -> int:
	197	+ m = re.search(r"_(\d+)\.\w+$", u)
	198	+ return int(m.group(1)) if m else 999
	199	+
	200	+ payload["images"] = sorted(images, key=_idx)[:20]
	201	+
	202	+ m = _CARFAX_RE.search(html)
	203	+ if m:
	204	+ payload["carfax"] = htmllib.unescape(m.group(0))
	205	+
	206	+ payload["gql"] = self._fetch_gql(ext_id)
	207	+ return payload
	208	+
	209	+ # -- API GraphQL : équipements + galerie + description de repli -------------
	210	+ def _fetch_gql(self, ext_id: str) -> dict:
	211	+ """options.labels, multimedia.pictures et description/tagline du
	212	+ véhicule via l'API publique des widgets. Tolérant : {} en cas d'échec
	213	+ (le payload HTML reste utilisable seul)."""
	214	+ wait = self.request_delay - (time.time() - self._last_request)
	215	+ if wait > 0:
	216	+ time.sleep(wait)
	217	+ try:
	218	+ resp = self.session.post(
	219	+ _GRAPHQL_API,
	220	+ json={"query": _GQL_VEHICLE % int(ext_id)},
	221	+ timeout=self.timeout)
	222	+ self._last_request = time.time()
	223	+ resp.raise_for_status()
	224	+ vehicle = (resp.json().get("data") or {}).get("vehicle") or {}
	225	+ except Exception:
	226	+ self._last_request = time.time()
	227	+ return {}
	228	+ if not isinstance(vehicle, dict):
	229	+ return {}
	230	+ labels = (vehicle.get("options") or {}).get("labels") or []
	231	+ options = [_clean(lb) for lb in labels if _clean(lb)]
	232	+
	233	+ images: list[str] = []
	234	+ pictures = (vehicle.get("multimedia") or {}).get("pictures") or []
	235	+ for pic in pictures:
	236	+ u = str((pic or {}).get("url") or "").strip()
	237	+ if not u:
	238	+ continue
	239	+ if not u.startswith("http"): # chemin relatif au serveur d'images
	240	+ u = "https://img.sm360.ca/images/inventory" + u
	241	+ images.append(u)
	242	+
	243	+ return {
	244	+ "options": options[:60],
	245	+ "images": images[:20],
	246	+ "description": _clean(vehicle.get("description")),
	247	+ "tagline": _clean(vehicle.get("tagline")),
	248	+ }
	249	+
	250	+ # -- multi-succursales (hook, surchargé par TLM) -----------------------------
	251	+ def _dealer_city(self, dl: dict, ld: dict) -> tuple[str, str]:
	252	+ return self.dealer_name, self.city
	253	+
	254	+ # -- contrat ---------------------------------------------------------------
	255	+ def fetch(self) -> list[Vehicle]:
	256	+ urls = self._vehicle_urls()
	257	+ week = datetime.date.today().isocalendar()
	258	+ # v2 : + équipements/galerie GraphQL (bump = re-crawl complet forcé)
	259	+ cache_key = f"v2:{week.year}w{week.week}" # revalidation hebdomadaire
	260	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	261	+
	262	+ vehicles: list[Vehicle] = []
	263	+ real_fetches = 0
	264	+ for url in urls:
	265	+ ext_id = _VEH_URL_RE.search(url).group(1)
	266	+
	267	+ def _fetch(u=url, e=ext_id):
	268	+ return self._fetch_detail(u, e)
	269	+
	270	+ # plafond atteint : ne servir que le cache (fetch réel interdit)
	271	+ if real_fetches >= cap:
	272	+ from .. import db
	273	+ if self._detail_con is None:
	274	+ self._detail_con = db.connect()
	275	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	276	+ ext_id, cache_key)
	277	+ if data is None:
	278	+ continue
	279	+ else:
	280	+ before = self._last_request
	281	+ try:
	282	+ data = self.detail(ext_id, cache_key, _fetch)
	283	+ except Exception:
	284	+ # page disparue (vendu) ou erreur ponctuelle : ne jamais
	285	+ # bloquer la source entière
	286	+ if self._last_request != before:
	287	+ real_fetches += 1
	288	+ continue
	289	+ if self._last_request != before: # une vraie requête a eu lieu
	290	+ real_fetches += 1
	291	+ if not data:
	292	+ continue
	293	+ veh = self._to_vehicle(ext_id, url, data)
	294	+ if veh is not None:
	295	+ vehicles.append(veh)
	296	+ return vehicles
	297	+
	298	+ def _to_vehicle(self, ext_id: str, url: str, data: dict) -> Vehicle \| None:
	299	+ ld: dict = data.get("ld") or {}
	300	+ dl: dict = data.get("dl") or {}
	301	+ if not ld and not dl:
	302	+ return None
	303	+
	304	+ # filtres de sécurité : jamais de neuf, jamais de récréatif
	305	+ if dl.get("isNew", "").lower() == "true":
	306	+ return None
	307	+ if dl.get("vehicleCategory", "").lower() in _EXCLUDE_CATEGORIES:
	308	+ return None
	309	+
	310	+ brand = ld.get("brand") or {}
	311	+ make = _clean(brand.get("name") if isinstance(brand, dict) else brand)
	312	+ model = _clean(ld.get("model")) or _clean(dl.get("model")).title()
	313	+
	314	+ year = None
	315	+ for raw in (ld.get("vehicleModelDate"), ld.get("modelDate"),
	316	+ dl.get("year")):
	317	+ if raw:
	318	+ try:
	319	+ year = int(str(raw)[:4])
	320	+ break
	321	+ except ValueError:
	322	+ pass
	323	+
	324	+ offers = ld.get("offers") or {}
	325	+ price = _num(offers.get("price")) or _num(dl.get("salePrice")) \
	326	+ or _num(dl.get("regularPrice"))
	327	+
	328	+ odo = ld.get("mileageFromOdometer") or {}
	329	+ km = _num(odo.get("value") if isinstance(odo, dict) else odo) \
	330	+ or _num(dl.get("mileage"))
	331	+
	332	+ # titre : le "name" JSON-LD varie (parfois "CR-V", parfois
	333	+ # "Chevrolet Colorado 4WD Trail Boss 2025") — on complète au besoin
	334	+ title = _clean(ld.get("name")) or f"{make} {model}".strip()
	335	+ if make and make.lower() not in title.lower():
	336	+ title = f"{make} {title}"
	337	+ if year and str(year) not in title:
	338	+ title = f"{title} {year}"
	339	+
	340	+ drive_raw = str(ld.get("driveWheelConfiguration") or "")
	341	+ drivetrain = ""
	342	+ for key, canon in _DRIVE_MAP.items():
	343	+ if key in drive_raw:
	344	+ drivetrain = canon
	345	+ break
	346	+
	347	+ engines = ld.get("vehicleEngine") or []
	348	+ if isinstance(engines, dict):
	349	+ engines = [engines]
	350	+ fuel, engine_txt = "", ""
	351	+ if engines and isinstance(engines[0], dict):
	352	+ fuel = _clean(engines[0].get("fuelType"))
	353	+ e_type = _clean(engines[0].get("engineType"))
	354	+ if len(e_type) > 3: # "4" = nb cylindres, pas descriptif
	355	+ engine_txt = e_type
	356	+ fuel = fuel or _clean(dl.get("vehicleFuelType"))
	357	+
	358	+ transmission = _clean(ld.get("vehicleTransmission")) \
	359	+ or _clean(dl.get("transmission"))
	360	+
	361	+ trim = _clean(ld.get("vehicleConfiguration"))
	362	+ if not trim:
	363	+ trim = _clean(dl.get("trim")).upper()
	364	+
	365	+ gql: dict = data.get("gql") or {}
	366	+
	367	+ images = list(data.get("images") or [])
	368	+ # la galerie GraphQL est complète même quand le gabarit ne la rend pas
	369	+ # côté serveur (touteslesmarques, spinelli, rive-sud, toyotagatineau)
	370	+ gql_images = list(gql.get("images") or [])
	371	+ if len(gql_images) > len(images):
	372	+ images = gql_images
	373	+ if not images:
	374	+ ld_img = ld.get("image") or []
	375	+ images = [ld_img] if isinstance(ld_img, str) else list(ld_img)
	376	+ # écarter les stubs sans nom de fichier (véhicule sans photo)
	377	+ images = [u for u in images if isinstance(u, str)
	378	+ and re.search(r"\.(?:jpe?g\|png\|webp)$", u, re.I)]
	379	+
	380	+ def _int(v):
	381	+ try:
	382	+ return int(str(v))
	383	+ except (TypeError, ValueError):
	384	+ return None
	385	+
	386	+ dealer_name, city = self._dealer_city(dl, ld)
	387	+
	388	+ details: dict = {}
	389	+ if dl.get("isDemo", "").lower() == "true":
	390	+ details["demo"] = True
	391	+ if dl.get("condition"):
	392	+ details["condition"] = dl["condition"]
	393	+
	394	+ return Vehicle(
	395	+ source=self.source_id,
	396	+ external_id=ext_id,
	397	+ url=url,
	398	+ title=title,
	399	+ make=make,
	400	+ model=model,
	401	+ trim=trim,
	402	+ year=year,
	403	+ price=price,
	404	+ price_label=f"{price:,.0f} $".replace(",", " ") if price else "",
	405	+ mileage_km=km,
	406	+ mileage_label=f"{km:,.0f} km".replace(",", " ") if km else "",
	407	+ transmission=transmission,
	408	+ fuel=fuel,
	409	+ drivetrain=drivetrain,
	410	+ body_type=_clean(ld.get("bodyType")),
	411	+ exterior_color=_clean(ld.get("color")),
	412	+ interior_color=_clean(ld.get("vehicleInteriorColor")),
	413	+ engine=engine_txt,
	414	+ doors=_int(ld.get("numberOfDoors")),
	415	+ seats=_int(ld.get("vehicleSeatingCapacity")
	416	+ or ld.get("seatingCapacity")),
	417	+ vin=(_clean(ld.get("vehicleIdentificationNumber"))
	418	+ or _clean(dl.get("vehicleVin"))).upper(),
	419	+ stock_number=_clean(dl.get("stockNo")) or _clean(ld.get("sku")),
	420	+ dealer_name=dealer_name,
	421	+ city=city,
	422	+ description=(_clean(ld.get("description"))
	423	+ or gql.get("description", "")
	424	+ or gql.get("tagline", ""))[:4000],
	425	+ features=list(gql.get("options") or []),
	426	+ details=details,
	427	+ images=images,
	428	+ carfax_url=data.get("carfax") or "",
	429	+ )
	430	+
	431	+
	432	+# ---------------------------------------------------------------------------
	433	+# Concessionnaires (1 sous-classe = 1 source)
	434	+# ---------------------------------------------------------------------------
	435	+
	436	+class ToutesLesMarques(SM360Connector):
	437	+ """Groupe multi-succursales (Chicoutimi, Baie-Comeau, Sept-Îles).
	438	+
	439	+ Le dataLayer `vehicleLocation` donne la succursale qui détient le
	440	+ véhicule ; la ville est déduite du nom de la succursale.
	441	+ """
	442	+ source_id = "touteslesmarques"
	443	+ base_url = "https://www.touteslesmarques.ca"
	444	+ dealer_name = "Toutes les marques"
	445	+ city = "Chicoutimi"
	446	+
	447	+ def _dealer_city(self, dl: dict, ld: dict) -> tuple[str, str]:
	448	+ branch = _clean(dl.get("vehicleLocation"))
	449	+ if not branch or branch.lower() == "touteslesmarques.ca":
	450	+ return self.dealer_name, self.city
	451	+ low = branch.lower()
	452	+ if "baie" in low and "comeau" in low:
	453	+ city = "Baie-Comeau"
	454	+ elif "sept" in low and ("iles" in low or "îles" in low):
	455	+ city = "Sept-Îles"
	456	+ else: # Arnold, L'Ami Junior, Intégral Subaru…
	457	+ city = "Chicoutimi"
	458	+ return branch, city
	459	+
	460	+
	461	+class StJeromeAutoDepot(SM360Connector):
	462	+ source_id = "stjeromeautodepot"
	463	+ base_url = "https://www.stjeromeautodepot.com"
	464	+ dealer_name = "St-Jérôme Auto Dépôt"
	465	+ city = "Saint-Jérôme"
	466	+
	467	+
	468	+class LamontagneAuto(SM360Connector):
	469	+ # concessionnaire Honda — le sitemap /fr/inventaire-occasion ne contient
	470	+ # que l'occasion (le neuf vit sous /fr/catalogue-neuf, jamais ramassé)
	471	+ source_id = "lamontagneauto"
	472	+ base_url = "https://www.lamontagneauto.com"
	473	+ dealer_name = "Lamontagne Auto"
	474	+ city = "Rimouski"
	475	+
	476	+
	477	+# ---------------------------------------------------------------------------
	478	+# Expansion 2 — concessionnaires SM360 supplémentaires
	479	+# ---------------------------------------------------------------------------
	480	+
	481	+class Spinelli(SM360Connector):
	482	+ """Groupe multi-concessions de l'île de Montréal (Pointe-Claire, Lachine…)."""
	483	+ source_id = "spinelli"
	484	+ base_url = "https://www.spinelli.com"
	485	+ dealer_name = "Groupe Spinelli"
	486	+ city = "Montréal"
	487	+
	488	+
	489	+class AutoDesjardins(SM360Connector):
	490	+ source_id = "autodesjardins"
	491	+ base_url = "https://www.autodesjardins.com"
	492	+ dealer_name = "Automobiles Desjardins"
	493	+ city = "Québec"
	494	+
	495	+
	496	+class LallierHondaHull(SM360Connector):
	497	+ source_id = "lallierhondahull"
	498	+ base_url = "https://www.lallierhondahull.com"
	499	+ dealer_name = "Lallier Honda Hull"
	500	+ city = "Gatineau"
	501	+
	502	+
	503	+class RiveSudChrysler(SM360Connector):
	504	+ source_id = "rivesudchrysler"
	505	+ base_url = "https://www.rivesudchrysler.com"
	506	+ dealer_name = "Rive-Sud Chrysler"
	507	+ city = "Brossard"
	508	+
	509	+
	510	+class ToyotaGatineau(SM360Connector):
	511	+ source_id = "toyotagatineau"
	512	+ base_url = "https://www.toyotagatineau.ca"
	513	+ dealer_name = "Toyota Gatineau"
	514	+ city = "Gatineau"
	515	+
	516	+
	517	+# ---------------------------------------------------------------------------
	518	+# Expansion 3 — Côte-Nord, Bas-Saint-Laurent (Matane) et île de Montréal
	519	+# ---------------------------------------------------------------------------
	520	+
	521	+class SeptIlesHonda(SM360Connector):
	522	+ source_id = "septileshonda"
	523	+ base_url = "https://www.septileshonda.com"
	524	+ dealer_name = "Sept-Îles Honda"
	525	+ city = "Sept-Îles"
	526	+
	527	+
	528	+class SeptIlesGM(SM360Connector):
	529	+ source_id = "septilesgm"
	530	+ base_url = "https://www.sept-ilesgm.com"
	531	+ dealer_name = "Sept-Îles Chevrolet Buick GMC"
	532	+ city = "Sept-Îles"
	533	+
	534	+
	535	+class BaieComeauGM(SM360Connector):
	536	+ source_id = "baiecomeaugm"
	537	+ base_url = "https://www.baiecomeaugm.com"
	538	+ dealer_name = "Baie-Comeau Chevrolet Buick GMC"
	539	+ city = "Baie-Comeau"
	540	+
	541	+
	542	+class VolvoCarsSaintLeonard(SM360Connector):
	543	+ source_id = "volvosaintleonard"
	544	+ base_url = "https://www.volvocarssaintleonard.com"
	545	+ dealer_name = "Volvo Cars Saint-Léonard"
	546	+ city = "Montréal"
	547	+
	548	+
	549	+class KiaMatane(SM360Connector):
	550	+ source_id = "kiamatane"
	551	+ base_url = "https://www.kiamatane.com"
	552	+ dealer_name = "Kia Matane"
	553	+ city = "Matane"
	554	+
	555	+
	556	+class MarquisAutomobiles(SM360Connector):
	557	+ source_id = "marquisautomobiles"
	558	+ base_url = "https://www.marquisautomobiles.com"
	559	+ dealer_name = "Marquis Automobiles"
	560	+ city = "Matane"
	561	+
	562	+
	563	+class VilleneuveFord(SM360Connector):
	564	+ source_id = "villeneuveford"
	565	+ base_url = "https://www.villeneuveford.com"
	566	+ dealer_name = "Villeneuve Ford"
	567	+ city = "Matane"

added apps/auto/autoka/connectors/stefoychrysler.py +34 −0

		`@@ -0,0 +1,34 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/stefoychrysler.py : connecteur Ste-Foy Chrysler
	5	+# (ste-foychrysler.com), gros concessionnaire Chrysler/Dodge/Jeep/RAM de
	6	+# Québec (arrondissement Sainte-Foy) — ~400+ véhicules d'occasion.
	7	+#
	8	+# Plateforme : Next.js App Router (autoroot.io), inventaire EvalAuto —
	9	+# exactement la même que Occasion Beaucage : chaque page liste
	10	+# /auto-usage/<n>/ embarque dans son flux RSC (self.__next_f.push) l'objet
	11	+# {"vehicles":[...],"count":N} avec tous les champs par véhicule (prix, km,
	12	+# VIN, stock, transmission, carburant, carrosserie, couleurs, photos,
	13	+# display_dealer_name / display_city). On réutilise donc OccasionBeaucage
	14	+# telle quelle, seuls l'URL et les libellés changent.
	15	+# -----------------------------------------------------------------------------
	16	+from __future__ import annotations
	17	+
	18	+from .occasionbeaucage import OccasionBeaucage
	19	+
	20	+
	21	+class SteFoyChrysler(OccasionBeaucage):
	22	+ """Ste-Foy Chrysler — pages liste Next.js RSC (pattern Occasion Beaucage)."""
	23	+
	24	+ source_id = "stefoychrysler"
	25	+ base_url = "https://www.ste-foychrysler.com"
	26	+ dealer_name = "Ste-Foy Chrysler"
	27	+ city = "Québec"
	28	+ max_pages = 60 # ~18 pages réelles (427 véh. / 24)
	29	+
	30	+ def _to_vehicle(self, d, blob):
	31	+ veh = super()._to_vehicle(d, blob)
	32	+ if veh is not None and not veh.city:
	33	+ veh.city = self.city
	34	+ return veh

added apps/auto/autoka/connectors/vvu_dealers.py +199 −0

		`@@ -0,0 +1,199 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/vvu_dealers.py : connecteurs des concessionnaires indépendants sur
	5	+# la plateforme ADWS (adws.ca) — sites Next.js au titre commun « Vente de
	6	+# Véhicules Usagés - Voitures d'Occasion de Qualité » (d'où « VVU »).
	7	+#
	8	+# Stratégie : chaque site expose une API JSON interne `/api/inventory`
	9	+# (paginée : ?page=N&limit=M) qui retourne TOUTES les données véhicule
	10	+# (prix, km, VIN, moteur, couleurs, équipements FR, photos…). Une ou deux
	11	+# requêtes suffisent par sync — aucune page détail à visiter.
	12	+#
	13	+# L'URL de la page détail se reconstruit depuis le slug
	14	+# `<make>-<model>-<year>-<_id>` ; le préfixe varie selon la version du
	15	+# gabarit ADWS déployée (`/fr/vehicle/…` ou `/fr/occasion/…`).
	16	+# -----------------------------------------------------------------------------
	17	+from __future__ import annotations
	18	+
	19	+import re
	20	+
	21	+from ..schema import Vehicle, strip_accents
	22	+from .base import BaseConnector
	23	+
	24	+# garde-fou : ces marchands ne vendent que des automobiles, mais on écarte
	25	+# tout intrus « sport motorisé » au cas où
	26	+_EXCLUDE_RE = re.compile(
	27	+ r"motoneige\|vtt\|bateau\|ponton\|motomarine\|\bmoto\b\|roulotte\|remorque\|"
	28	+ r"campeur\|tracteur\|souffleuse\|scooter\|spyder\|side-by-side\|atv\|snowmobile",
	29	+ re.I)
	30	+
	31	+
	32	+def _slugify(text: str) -> str:
	33	+ """« Mercedes-Benz C-Class » -> « mercedes-benz-c-class » (règle ADWS)."""
	34	+ out = strip_accents(str(text or "")).lower()
	35	+ out = re.sub(r"[^a-z0-9]+", "-", out)
	36	+ return out.strip("-")
	37	+
	38	+
	39	+def _num(value) -> float \| None:
	40	+ try:
	41	+ v = float(value)
	42	+ return v if v > 0 else None
	43	+ except (TypeError, ValueError):
	44	+ return None
	45	+
	46	+
	47	+class ADWSConnector(BaseConnector):
	48	+ """Base commune aux sites ADWS. Sous-classes : base_url + chemin détail."""
	49	+
	50	+ base_url: str = ""
	51	+ dealer_name: str = ""
	52	+ city: str = ""
	53	+ region: str = "" # si la ville échappe à infer_region()
	54	+ detail_path: str = "vehicle" # « vehicle » ou « vehicule » selon la
	55	+ # version du gabarit ADWS du site
	56	+ request_delay: float = 1.0
	57	+ page_size: int = 100
	58	+
	59	+ def _get_json(self, url: str) -> dict:
	60	+ """GET avec retries : le backend Next.js/serverless d'ADWS renvoie
	61	+ parfois un 500 transitoire (démarrage à froid)."""
	62	+ import time
	63	+ import requests as _rq
	64	+ for attempt in range(3):
	65	+ try:
	66	+ return self.get(url).json()
	67	+ except (_rq.HTTPError, ValueError):
	68	+ if attempt == 2:
	69	+ raise
	70	+ time.sleep(3 * (attempt + 1))
	71	+
	72	+ def _api_pages(self):
	73	+ page = 1
	74	+ while True:
	75	+ data = self._get_json(f"{self.base_url}/api/inventory"
	76	+ f"?page={page}&limit={self.page_size}")
	77	+ items = data.get("data") or []
	78	+ yield from items
	79	+ total = data.get("totalFiltered") or data.get("total") or 0
	80	+ if not items or page * self.page_size >= total:
	81	+ return
	82	+ page += 1
	83	+
	84	+ def _detail_url(self, d: dict) -> str:
	85	+ slug = "-".join(filter(None, [
	86	+ _slugify(d.get("make")), _slugify(d.get("model")),
	87	+ str(d.get("year") or "")])) + f"-{d['_id']}"
	88	+ return f"{self.base_url}/fr/{self.detail_path}/{slug}"
	89	+
	90	+ def fetch(self) -> list[Vehicle]:
	91	+ vehicles: list[Vehicle] = []
	92	+ for d in self._api_pages():
	93	+ if not d.get("_id"):
	94	+ continue
	95	+ if (d.get("saleclass") or "used").lower() != "used":
	96	+ continue # neufs / démonstrateurs
	97	+ status = (d.get("status") or "").lower()
	98	+ if status and status not in ("available", "disponible"):
	99	+ continue # vendus / en préparation
	100	+ title = " ".join(str(d.get("heading") or "").split())
	101	+ if not title:
	102	+ title = " ".join(filter(None, [str(d.get("year") or ""),
	103	+ d.get("make"), d.get("model")]))
	104	+ if _EXCLUDE_RE.search(title):
	105	+ continue
	106	+
	107	+ price = _num(d.get("price"))
	108	+ special = _num(d.get("special_price"))
	109	+ details: dict = {}
	110	+ if special and price and special < price:
	111	+ details["regular_price"] = price
	112	+ price = special # le prix affiché = le spécial
	113	+
	114	+ km = _num(d.get("km"))
	115	+ photos = [u for u in (d.get("photo") or []) if isinstance(u, str)]
	116	+ features = [f for f in (d.get("vehicle_options_fr")
	117	+ or d.get("vehicle_options") or [])
	118	+ if isinstance(f, str)]
	119	+
	120	+ for key in ("version", "engine_size", "cylinders", "entrydate",
	121	+ "tyres_size", "tags"):
	122	+ if d.get(key):
	123	+ details[key] = d[key]
	124	+
	125	+ vin = "" if d.get("hide_vin") else str(d.get("serialnumber") or "")
	126	+
	127	+ vehicles.append(Vehicle(
	128	+ source=self.source_id,
	129	+ external_id=str(d["_id"]),
	130	+ url=self._detail_url(d),
	131	+ title=title,
	132	+ make=str(d.get("make") or ""),
	133	+ model=str(d.get("model") or ""),
	134	+ trim=str(d.get("trim") or ""),
	135	+ year=d.get("year") if isinstance(d.get("year"), int) else None,
	136	+ price=price,
	137	+ price_label=(f"{price:,.0f} $".replace(",", " ") if price else ""),
	138	+ mileage_km=km,
	139	+ mileage_label=(f"{km:,.0f} km".replace(",", " ") if km else ""),
	140	+ transmission=str(d.get("transtype") or ""),
	141	+ fuel=str(d.get("fuel") or ""),
	142	+ drivetrain=str(d.get("drivetrain") or ""),
	143	+ body_type=str(d.get("body_type") or ""),
	144	+ exterior_color=str(d.get("base_ext_color") or ""),
	145	+ interior_color=str(d.get("base_int_color") or ""),
	146	+ engine=str(d.get("engine") or ""),
	147	+ doors=d.get("doors") if isinstance(d.get("doors"), int) else None,
	148	+ seats=(d.get("passengers")
	149	+ if isinstance(d.get("passengers"), int) else None),
	150	+ vin=vin,
	151	+ stock_number=str(d.get("stocknumber") or ""),
	152	+ dealer_name=self.dealer_name,
	153	+ city=self.city,
	154	+ region=self.region,
	155	+ features=features[:80],
	156	+ details=details,
	157	+ images=photos[:20],
	158	+ carfax_url=str(d.get("carfax_url_fr")
	159	+ or d.get("carfax_url_en") or ""),
	160	+ ))
	161	+ return vehicles
	162	+
	163	+
	164	+# ---------------------------------------------------------------------------
	165	+# Concessionnaires (1 sous-classe = 1 source)
	166	+# ---------------------------------------------------------------------------
	167	+
	168	+class AutoGlobalMTL(ADWSConnector):
	169	+ source_id = "autoglobalmtl"
	170	+ base_url = "https://www.autoglobalmtl.com"
	171	+ dealer_name = "Auto Global MTL"
	172	+ city = "Montréal"
	173	+ detail_path = "vehicle"
	174	+
	175	+
	176	+class GroupeAutomobile(ADWSConnector):
	177	+ source_id = "groupeautomobile"
	178	+ base_url = "https://www.groupeautomobile.com"
	179	+ dealer_name = "Le Groupe Automobile Laval"
	180	+ city = "Laval"
	181	+ detail_path = "vehicule"
	182	+
	183	+
	184	+class SummumAuto(ADWSConnector):
	185	+ source_id = "summumauto"
	186	+ base_url = "https://www.summumauto.com"
	187	+ dealer_name = "Summum Auto"
	188	+ city = "Laval"
	189	+ detail_path = "vehicle"
	190	+
	191	+
	192	+class Comme1Neuf(ADWSConnector):
	193	+ # occasionvilledequebec.com redirige (301) vers comme1neuf.com — même commerce
	194	+ source_id = "occasionvilledequebec"
	195	+ base_url = "https://www.comme1neuf.com"
	196	+ dealer_name = "Comme1Neuf"
	197	+ city = "Château-Richer"
	198	+ region = "Capitale-Nationale"
	199	+ detail_path = "vehicule"

added apps/auto/autoka/connectors/yannicklaberge.py +160 −0

		`@@ -0,0 +1,160 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# connectors/yannicklaberge.py : Automobiles Yannick Laberge (Beauport) —
	5	+# WordPress sur la plateforme AMVOQ (thème « theme_central », inventaire
	6	+# autousagee.ca, images image.autousagee.ca). API REST verrouillée (401).
	7	+#
	8	+# Stratégie : le sitemap Yoast `/vehicules-sitemap.xml` recense les annonces
	9	+# (/vehicule-usage/<slug>/<id>/). Chaque page détail expose un JSON-LD
	10	+# schema.org @type Vehicle : prix, VIN, km, transmission, carburant,
	11	+# couleur intérieure, description. Galerie complétée par les URLs
	12	+# image.autousagee.ca de la page. Pages détail en cache BD (clé hebdo).
	13	+# -----------------------------------------------------------------------------
	14	+from __future__ import annotations
	15	+
	16	+import datetime
	17	+import json
	18	+import os
	19	+import re
	20	+
	21	+from ..schema import Vehicle
	22	+from .base import BaseConnector
	23	+
	24	+_VEH_URL_RE = re.compile(r"/vehicule-usage/[^/]+/(\d+)/?$")
	25	+
	26	+_LD_RE = re.compile(
	27	+ r'<script type=["\']application/ld\+json["\'][^>]>(.?)</script>', re.S)
	28	+
	29	+_IMG_RE = re.compile(r'https://image\.autousagee\.ca/[^"\'\\\s)]+\.jpe?g')
	30	+
	31	+
	32	+class YannickLaberge(BaseConnector):
	33	+ source_id = "automobilesyannicklaberge"
	34	+ base_url = "https://www.automobilesyannicklaberge.com"
	35	+ dealer_name = "Automobiles Yannick Laberge"
	36	+ city = "Beauport"
	37	+ request_delay: float = 1.0
	38	+ max_details = 200
	39	+
	40	+ # -- sitemap ----------------------------------------------------------------
	41	+ def _vehicle_urls(self) -> list[str]:
	42	+ xml = self.get(f"{self.base_url}/vehicules-sitemap.xml").text
	43	+ return [loc.strip() for loc in re.findall(r"<loc>([^<]+)</loc>", xml)
	44	+ if _VEH_URL_RE.search(loc.strip())]
	45	+
	46	+ # -- page détail -> JSON-LD Vehicle + galerie ---------------------------------
	47	+ def _fetch_detail(self, url: str) -> dict:
	48	+ html = self.get(url).text
	49	+ for block in _LD_RE.findall(html):
	50	+ try:
	51	+ data = json.loads(block.strip())
	52	+ except ValueError:
	53	+ continue
	54	+ nodes = data if isinstance(data, list) else [data]
	55	+ for node in nodes:
	56	+ types = node.get("@type")
	57	+ types = types if isinstance(types, list) else [types]
	58	+ if "Vehicle" in types or "Car" in types:
	59	+ seen: set[str] = set()
	60	+ node["_gallery"] = [
	61	+ u for u in _IMG_RE.findall(html)
	62	+ if not (u in seen or seen.add(u))][:20]
	63	+ return node
	64	+ return {}
	65	+
	66	+ # -- contrat -----------------------------------------------------------------
	67	+ def fetch(self) -> list[Vehicle]:
	68	+ urls = self._vehicle_urls()
	69	+ week = datetime.date.today().isocalendar()
	70	+ cache_key = f"v1:{week.year}w{week.week}"
	71	+ cap = int(os.environ.get("AUTOKA_MAX_DETAILS", self.max_details))
	72	+
	73	+ vehicles: list[Vehicle] = []
	74	+ real_fetches = 0
	75	+ for url in urls:
	76	+ ext_id = _VEH_URL_RE.search(url).group(1)
	77	+
	78	+ def _fetch(u=url):
	79	+ return self._fetch_detail(u)
	80	+
	81	+ if real_fetches >= cap: # plafond : cache seulement
	82	+ from .. import db
	83	+ if self._detail_con is None:
	84	+ self._detail_con = db.connect()
	85	+ data = db.get_cached_detail(self._detail_con, self.source_id,
	86	+ ext_id, cache_key)
	87	+ if data is None:
	88	+ continue
	89	+ else:
	90	+ before = self._last_request
	91	+ data = self.detail(ext_id, cache_key, _fetch)
	92	+ if self._last_request != before:
	93	+ real_fetches += 1
	94	+ if not data:
	95	+ continue
	96	+ veh = self._to_vehicle(ext_id, url, data)
	97	+ if veh is not None:
	98	+ vehicles.append(veh)
	99	+ return vehicles
	100	+
	101	+ def _to_vehicle(self, ext_id: str, url: str, d: dict) -> Vehicle \| None:
	102	+ title = " ".join(str(d.get("name") or "").split())
	103	+ if not title:
	104	+ return None
	105	+
	106	+ offers = d.get("offers") or {}
	107	+ price = None
	108	+ try:
	109	+ p = float(offers.get("price"))
	110	+ price = p if p > 0 else None
	111	+ except (TypeError, ValueError):
	112	+ pass
	113	+
	114	+ odo = d.get("mileageFromOdometer") or {}
	115	+ km = odo.get("value") if isinstance(odo, dict) else odo
	116	+ try:
	117	+ km = float(km)
	118	+ km = km if km > 0 else None
	119	+ except (TypeError, ValueError):
	120	+ km = None
	121	+
	122	+ brand = d.get("brand") or {}
	123	+ make = brand.get("name") if isinstance(brand, dict) else str(brand)
	124	+
	125	+ year = None
	126	+ try:
	127	+ year = int(str(d.get("productionDate"))[:4])
	128	+ except (TypeError, ValueError):
	129	+ pass
	130	+
	131	+ try:
	132	+ doors = int(str(d.get("numberOfDoors")))
	133	+ except (TypeError, ValueError):
	134	+ doors = None
	135	+
	136	+ images = d.get("_gallery") or []
	137	+ if not images and isinstance(d.get("image"), str):
	138	+ images = [d["image"]]
	139	+
	140	+ return Vehicle(
	141	+ source=self.source_id,
	142	+ external_id=ext_id,
	143	+ url=url,
	144	+ title=title,
	145	+ make=str(make or ""),
	146	+ year=year,
	147	+ price=price,
	148	+ price_label=(f"{price:,.0f} $".replace(",", " ") if price else ""),
	149	+ mileage_km=km,
	150	+ mileage_label=(f"{km:,.0f} km".replace(",", " ") if km else ""),
	151	+ transmission=str(d.get("vehicleTransmission") or ""),
	152	+ fuel=str(d.get("fuelType") or ""),
	153	+ interior_color=str(d.get("vehicleInteriorColor") or ""),
	154	+ doors=doors,
	155	+ vin=str(d.get("vehicleIdentificationNumber") or ""),
	156	+ dealer_name=self.dealer_name,
	157	+ city=self.city,
	158	+ description=" ".join(str(d.get("description") or "").split())[:4000],
	159	+ images=images,
	160	+ )

added apps/auto/autoka/db.py +329 −0

		`@@ -0,0 +1,329 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# 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 (baisses de prix = signal clé en auto usagée),
	7	+# cache des pages détail.
	8	+# -----------------------------------------------------------------------------
	9	+from __future__ import annotations
	10	+
	11	+import json
	12	+import sqlite3
	13	+import statistics
	14	+import time
	15	+from pathlib import Path
	16	+
	17	+from .schema import Vehicle
	18	+
	19	+DB_PATH = Path(__file__).resolve().parent.parent / "data" / "autoka.db"
	20	+
	21	+# Nombre d'exécutions consécutives où une annonce doit être absente de la
	22	+# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).
	23	+MISS_GRACE = 2
	24	+
	25	+# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique
	26	+# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.
	27	+DRIFT_RATIO = 0.25
	28	+DRIFT_MIN_BASE = 8
	29	+DRIFT_HISTORY = 5
	30	+
	31	+_SCHEMA = """
	32	+CREATE TABLE IF NOT EXISTS vehicles (
	33	+ uid TEXT PRIMARY KEY,
	34	+ source TEXT NOT NULL,
	35	+ external_id TEXT NOT NULL,
	36	+ url TEXT,
	37	+ kind TEXT DEFAULT 'auto',
	38	+ title TEXT,
	39	+ make TEXT,
	40	+ model TEXT,
	41	+ trim TEXT,
	42	+ year INTEGER,
	43	+ price REAL,
	44	+ price_label TEXT,
	45	+ mileage_km REAL,
	46	+ mileage_label TEXT,
	47	+ transmission TEXT,
	48	+ fuel TEXT,
	49	+ drivetrain TEXT,
	50	+ body_type TEXT,
	51	+ exterior_color TEXT,
	52	+ interior_color TEXT,
	53	+ engine TEXT,
	54	+ doors INTEGER,
	55	+ seats INTEGER,
	56	+ vin TEXT,
	57	+ stock_number TEXT,
	58	+ dealer_name TEXT,
	59	+ city TEXT,
	60	+ region TEXT,
	61	+ description TEXT,
	62	+ features TEXT, -- JSON (liste de textes source)
	63	+ details TEXT, -- JSON (champs structurés)
	64	+ images TEXT, -- JSON
	65	+ carfax_url TEXT,
	66	+ content_hash TEXT,
	67	+ first_seen REAL,
	68	+ last_seen REAL,
	69	+ updated_at REAL,
	70	+ miss_count INTEGER DEFAULT 0,
	71	+ active INTEGER DEFAULT 1
	72	+);
	73	+CREATE INDEX IF NOT EXISTS idx_vehicles_source ON vehicles(source);
	74	+CREATE INDEX IF NOT EXISTS idx_vehicles_make ON vehicles(make);
	75	+CREATE INDEX IF NOT EXISTS idx_vehicles_region ON vehicles(region);
	76	+CREATE INDEX IF NOT EXISTS idx_vehicles_active ON vehicles(active);
	77	+CREATE INDEX IF NOT EXISTS idx_vehicles_price ON vehicles(price);
	78	+
	79	+CREATE TABLE IF NOT EXISTS sync_log (
	80	+ id INTEGER PRIMARY KEY AUTOINCREMENT,
	81	+ source TEXT,
	82	+ ts REAL,
	83	+ found INTEGER,
	84	+ added INTEGER,
	85	+ updated INTEGER,
	86	+ removed INTEGER,
	87	+ ok INTEGER,
	88	+ message TEXT,
	89	+ stats TEXT -- JSON : taux de champs null, missed, alerte…
	90	+);
	91	+
	92	+CREATE TABLE IF NOT EXISTS detail_cache (
	93	+ source TEXT NOT NULL,
	94	+ external_id TEXT NOT NULL,
	95	+ key TEXT, -- hash du contenu « liste » de l'annonce
	96	+ payload TEXT, -- JSON opaque propre au connecteur
	97	+ fetched_at REAL,
	98	+ PRIMARY KEY (source, external_id)
	99	+);
	100	+
	101	+CREATE TABLE IF NOT EXISTS price_log (
	102	+ uid TEXT NOT NULL,
	103	+ ts REAL NOT NULL,
	104	+ price REAL -- prix observé (NULL = retiré de l'affichage)
	105	+);
	106	+CREATE INDEX IF NOT EXISTS idx_price_log_uid ON price_log(uid);
	107	+"""
	108	+
	109	+
	110	+# Colonnes ajoutées après la v1 — migration automatique des bases existantes.
	111	+_MIGRATIONS = {
	112	+ "vehicles": {
	113	+ "kind": "TEXT DEFAULT 'auto'",
	114	+ },
	115	+}
	116	+
	117	+
	118	+def connect() -> sqlite3.Connection:
	119	+ DB_PATH.parent.mkdir(parents=True, exist_ok=True)
	120	+ con = sqlite3.connect(DB_PATH, timeout=30)
	121	+ con.row_factory = sqlite3.Row
	122	+ # WAL : plusieurs processus de sync peuvent écrire sans se bloquer
	123	+ con.execute("PRAGMA journal_mode=WAL")
	124	+ con.execute("PRAGMA busy_timeout=15000")
	125	+ con.executescript(_SCHEMA)
	126	+ for table, cols in _MIGRATIONS.items():
	127	+ existing = {r["name"] for r in con.execute(f"PRAGMA table_info({table})")}
	128	+ for col, decl in cols.items():
	129	+ if col not in existing:
	130	+ con.execute(f"ALTER TABLE {table} ADD COLUMN {col} {decl}")
	131	+ # index sur des colonnes issues de migrations : après l'ALTER TABLE
	132	+ con.execute("CREATE INDEX IF NOT EXISTS idx_vehicles_kind ON vehicles(kind)")
	133	+ con.commit()
	134	+ return con
	135	+
	136	+
	137	+# ---------------------------------------------------------------------------
	138	+# Synchronisation d'une source
	139	+# ---------------------------------------------------------------------------
	140	+
	141	+def _drift_alert(con: sqlite3.Connection, source: str, found: int,
	142	+ null_price_rate: float) -> str \| None:
	143	+ """Détecte une dérive du connecteur (chute du volume ou des prix extraits)."""
	144	+ hist = con.execute(
	145	+ "SELECT found, stats FROM sync_log WHERE source=? AND ok=1"
	146	+ " ORDER BY ts DESC LIMIT ?", (source, DRIFT_HISTORY)).fetchall()
	147	+ if len(hist) < 3:
	148	+ return None
	149	+ med_found = statistics.median(r["found"] for r in hist)
	150	+ if med_found >= DRIFT_MIN_BASE and found <= DRIFT_RATIO * med_found:
	151	+ return (f"dérive: {found} annonce(s) trouvée(s) contre une médiane de "
	152	+ f"{med_found:.0f} — retraits suspendus, vérifier le connecteur")
	153	+ if found >= DRIFT_MIN_BASE and null_price_rate >= 0.8:
	154	+ rates = []
	155	+ for r in hist:
	156	+ try:
	157	+ rates.append(json.loads(r["stats"] or "{}")["null_price_rate"])
	158	+ except (KeyError, ValueError, TypeError):
	159	+ continue
	160	+ if rates and statistics.median(rates) <= 0.3:
	161	+ return (f"dérive: {null_price_rate:.0%} des annonces sans prix "
	162	+ f"(habituellement {statistics.median(rates):.0%}) — "
	163	+ "le format de la source a probablement changé")
	164	+ return None
	165	+
	166	+
	167	+def sync_source(con: sqlite3.Connection, source: str,
	168	+ vehicles: list[Vehicle]) -> dict:
	169	+ """Synchronise les annonces d'une source.
	170	+
	171	+ - nouvelle annonce -> insertion
	172	+ - annonce modifiée -> mise à jour (comparaison de content_hash)
	173	+ - annonce disparue -> miss_count += 1, puis active=0 après MISS_GRACE
	174	+ exécutions consécutives (délai de grâce) — véhicule vendu ou retiré
	175	+ - dérive détectée -> alerte consignée, retraits suspendus
	176	+ """
	177	+ now = time.time()
	178	+ added = updated = 0
	179	+ seen_uids = set()
	180	+
	181	+ n = len(vehicles)
	182	+ null_price = sum(1 for v in vehicles if v.price is None)
	183	+ null_km = sum(1 for v in vehicles if v.mileage_km is None)
	184	+ null_price_rate = round(null_price / n, 3) if n else 0.0
	185	+
	186	+ alert = _drift_alert(con, source, n, null_price_rate)
	187	+
	188	+ for veh in vehicles:
	189	+ seen_uids.add(veh.uid)
	190	+ h = veh.content_hash()
	191	+ row = con.execute("SELECT content_hash, price FROM vehicles WHERE uid=?",
	192	+ (veh.uid,)).fetchone()
	193	+ params = dict(
	194	+ uid=veh.uid, source=veh.source, external_id=veh.external_id,
	195	+ url=veh.url, kind=veh.kind or "auto",
	196	+ title=veh.title, make=veh.make, model=veh.model,
	197	+ trim=veh.trim, year=veh.year, price=veh.price,
	198	+ price_label=veh.price_label, mileage_km=veh.mileage_km,
	199	+ mileage_label=veh.mileage_label, transmission=veh.transmission,
	200	+ fuel=veh.fuel, drivetrain=veh.drivetrain, body_type=veh.body_type,
	201	+ exterior_color=veh.exterior_color, interior_color=veh.interior_color,
	202	+ engine=veh.engine, doors=veh.doors, seats=veh.seats, vin=veh.vin,
	203	+ stock_number=veh.stock_number, dealer_name=veh.dealer_name,
	204	+ city=veh.city, region=veh.region, description=veh.description,
	205	+ features=json.dumps(veh.features, ensure_ascii=False),
	206	+ details=json.dumps(veh.details, ensure_ascii=False),
	207	+ images=json.dumps(veh.images, ensure_ascii=False),
	208	+ carfax_url=veh.carfax_url, content_hash=h, now=now,
	209	+ )
	210	+ if row is None:
	211	+ con.execute(
	212	+ """INSERT INTO vehicles (uid, source, external_id, url, kind,
	213	+ title, make, model, trim, year, price, price_label,
	214	+ mileage_km, mileage_label, transmission, fuel, drivetrain,
	215	+ body_type, exterior_color, interior_color, engine, doors,
	216	+ seats, vin, stock_number, dealer_name, city, region,
	217	+ description, features, details, images, carfax_url,
	218	+ content_hash, first_seen, last_seen, updated_at,
	219	+ miss_count, active)
	220	+ VALUES (:uid,:source,:external_id,:url,:kind,:title,:make,
	221	+ :model,:trim,:year,:price,:price_label,:mileage_km,
	222	+ :mileage_label,:transmission,:fuel,:drivetrain,:body_type,
	223	+ :exterior_color,:interior_color,:engine,:doors,:seats,:vin,
	224	+ :stock_number,:dealer_name,:city,:region,:description,
	225	+ :features,:details,:images,:carfax_url,:content_hash,
	226	+ :now,:now,:now,0,1)""",
	227	+ params)
	228	+ if veh.price is not None: # prix initial = départ de l'historique
	229	+ con.execute("INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)",
	230	+ (veh.uid, now, veh.price))
	231	+ added += 1
	232	+ elif row["content_hash"] != h:
	233	+ con.execute(
	234	+ """UPDATE vehicles SET url=:url, kind=:kind, title=:title,
	235	+ make=:make, model=:model, trim=:trim, year=:year, price=:price,
	236	+ price_label=:price_label, mileage_km=:mileage_km,
	237	+ mileage_label=:mileage_label, transmission=:transmission,
	238	+ fuel=:fuel, drivetrain=:drivetrain, body_type=:body_type,
	239	+ exterior_color=:exterior_color, interior_color=:interior_color,
	240	+ engine=:engine, doors=:doors, seats=:seats, vin=:vin,
	241	+ stock_number=:stock_number, dealer_name=:dealer_name,
	242	+ city=:city, region=:region, description=:description,
	243	+ features=:features, details=:details, images=:images,
	244	+ carfax_url=:carfax_url, content_hash=:content_hash,
	245	+ last_seen=:now, updated_at=:now, miss_count=0, active=1
	246	+ WHERE uid=:uid""", params)
	247	+ if veh.price != row["price"]: # changement de prix -> historique
	248	+ con.execute("INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)",
	249	+ (veh.uid, now, veh.price))
	250	+ updated += 1
	251	+ else:
	252	+ con.execute(
	253	+ "UPDATE vehicles SET last_seen=?, miss_count=0, active=1 WHERE uid=?",
	254	+ (now, veh.uid))
	255	+
	256	+ # Annonces de cette source qui n'apparaissent plus : délai de grâce,
	257	+ # puis désactivation (véhicule vendu). Suspendu si dérive détectée.
	258	+ removed = missed = 0
	259	+ if not alert:
	260	+ for r in con.execute(
	261	+ "SELECT uid, miss_count FROM vehicles WHERE source=? AND active=1",
	262	+ (source,)).fetchall():
	263	+ if r["uid"] in seen_uids:
	264	+ continue
	265	+ missed += 1
	266	+ if r["miss_count"] + 1 >= MISS_GRACE:
	267	+ con.execute(
	268	+ "UPDATE vehicles SET active=0, miss_count=?, updated_at=?"
	269	+ " WHERE uid=?", (r["miss_count"] + 1, now, r["uid"]))
	270	+ removed += 1
	271	+ else:
	272	+ con.execute("UPDATE vehicles SET miss_count=miss_count+1 WHERE uid=?",
	273	+ (r["uid"],))
	274	+
	275	+ stats = {
	276	+ "null_price_rate": null_price_rate,
	277	+ "null_km_rate": round(null_km / n, 3) if n else 0.0,
	278	+ "missed": missed,
	279	+ }
	280	+ if alert:
	281	+ stats["alert"] = alert
	282	+ con.execute(
	283	+ "INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,"
	284	+ " message, stats) VALUES (?,?,?,?,?,?,1,?,?)",
	285	+ (source, now, n, added, updated, removed, alert or "ok",
	286	+ json.dumps(stats, ensure_ascii=False)))
	287	+ con.commit()
	288	+ out = {"source": source, "found": n, "added": added,
	289	+ "updated": updated, "removed": removed}
	290	+ if alert:
	291	+ out["alert"] = alert
	292	+ return out
	293	+
	294	+
	295	+def log_failure(con: sqlite3.Connection, source: str, message: str) -> None:
	296	+ con.execute(
	297	+ "INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)"
	298	+ " VALUES (?,?,0,0,0,0,0,?)", (source, time.time(), message))
	299	+ con.commit()
	300	+
	301	+
	302	+# ---------------------------------------------------------------------------
	303	+# Cache des pages détail (« détail si nouveau/modifié »)
	304	+# ---------------------------------------------------------------------------
	305	+
	306	+def get_cached_detail(con: sqlite3.Connection, source: str,
	307	+ external_id: str, key: str) -> dict \| None:
	308	+ """Payload détail mis en cache si la clé (hash liste) n'a pas changé."""
	309	+ row = con.execute(
	310	+ "SELECT key, payload FROM detail_cache WHERE source=? AND external_id=?",
	311	+ (source, external_id)).fetchone()
	312	+ if row and row["key"] == key and row["payload"]:
	313	+ try:
	314	+ return json.loads(row["payload"])
	315	+ except ValueError:
	316	+ return None
	317	+ return None
	318	+
	319	+
	320	+def put_cached_detail(con: sqlite3.Connection, source: str,
	321	+ external_id: str, key: str, payload: dict) -> None:
	322	+ con.execute(
	323	+ "INSERT INTO detail_cache (source, external_id, key, payload, fetched_at)"
	324	+ " VALUES (?,?,?,?,?)"
	325	+ " ON CONFLICT(source, external_id) DO UPDATE SET"
	326	+ " key=excluded.key, payload=excluded.payload, fetched_at=excluded.fetched_at",
	327	+ (source, external_id, key, json.dumps(payload, ensure_ascii=False),
	328	+ time.time()))
	329	+ con.commit()

added apps/auto/autoka/ingest.py +62 −0

		`@@ -0,0 +1,62 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# ingest.py : pipeline d'ingestion — exécute les connecteurs et synchronise
	5	+# la base (ajouts / mises à jour / retraits) = inventaire à jour
	6	+# -----------------------------------------------------------------------------
	7	+from __future__ import annotations
	8	+
	9	+import sys
	10	+import time
	11	+import traceback
	12	+
	13	+from . import db
	14	+from .connectors import CONNECTORS
	15	+
	16	+
	17	+def run(sources: list[str] \| None = None) -> list[dict]:
	18	+ """Exécute l'ingestion pour toutes les sources (ou celles demandées)."""
	19	+ con = db.connect()
	20	+ results = []
	21	+ targets = sources or list(CONNECTORS.keys())
	22	+ for sid in targets:
	23	+ cls = CONNECTORS.get(sid)
	24	+ if cls is None:
	25	+ print(f"[auto-ka] connecteur inconnu : {sid}", file=sys.stderr)
	26	+ continue
	27	+ t0 = time.time()
	28	+ print(f"[auto-ka] sync {sid} ...")
	29	+ try:
	30	+ vehicles = cls().fetch()
	31	+ finalized, dropped = [], 0
	32	+ for veh in vehicles:
	33	+ try:
	34	+ finalized.append(veh.finalize())
	35	+ except Exception: # une annonce malformée ne bloque pas la source
	36	+ dropped += 1
	37	+ stats = db.sync_source(con, sid, finalized)
	38	+ stats["seconds"] = round(time.time() - t0, 1)
	39	+ if dropped:
	40	+ stats["dropped"] = dropped
	41	+ if stats.get("alert"):
	42	+ print(f"[auto-ka] ⚠ ALERTE {sid} : {stats['alert']}")
	43	+ print(f"[auto-ka] {stats}")
	44	+ results.append(stats)
	45	+ except Exception as exc: # robustesse : une source ne bloque pas les autres
	46	+ db.log_failure(con, sid, f"{exc}")
	47	+ traceback.print_exc()
	48	+ results.append({"source": sid, "error": str(exc)})
	49	+ con.close()
	50	+ return results
	51	+
	52	+
	53	+def watch(interval_seconds: int = 7200) -> None:
	54	+ """Boucle de rafraîchissement périodique (pseudo-webhook par sondage)."""
	55	+ while True:
	56	+ run()
	57	+ print(f"[auto-ka] prochaine synchronisation dans {interval_seconds}s")
	58	+ time.sleep(interval_seconds)
	59	+
	60	+
	61	+if __name__ == "__main__":
	62	+ run(sys.argv[1:] or None)

added apps/auto/autoka/marketstats.py +128 −0

		`@@ -0,0 +1,128 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# marketstats.py : agrégats du marché — source unique pour /api/stats/detailed
	5	+# et le rapport PDF (autoka/pdfgen.py).
	6	+# -----------------------------------------------------------------------------
	7	+from __future__ import annotations
	8	+
	9	+import statistics
	10	+import time
	11	+
	12	+from . import db
	13	+
	14	+# bornes des classes de prix (k$) — dernière classe ouverte
	15	+PRICE_BUCKETS = [0, 5, 10, 15, 20, 25, 30, 40, 50, 75, 100]
	16	+KM_BUCKETS = [0, 20, 40, 60, 80, 100, 130, 160, 200] # en milliers de km
	17	+
	18	+
	19	+def compute() -> dict:
	20	+ """Tous les agrégats du marché sur l'inventaire actif."""
	21	+ con = db.connect()
	22	+ now = time.time()
	23	+
	24	+ prices = [r["price"] for r in con.execute(
	25	+ "SELECT price FROM vehicles WHERE active=1 AND kind='auto' AND price IS NOT NULL")]
	26	+ kms = [r["mileage_km"] for r in con.execute(
	27	+ "SELECT mileage_km FROM vehicles WHERE active=1 AND kind='auto' AND mileage_km IS NOT NULL")]
	28	+
	29	+ head = con.execute(
	30	+ """SELECT COUNT(*) total, COUNT(DISTINCT source) sources,
	31	+ COUNT(DISTINCT region) regions, AVG(price) avg_price,
	32	+ AVG(mileage_km) avg_km, AVG(year) avg_year,
	33	+ SUM(CASE WHEN first_seen > ? THEN 1 ELSE 0 END) new_7d,
	34	+ SUM(CASE WHEN fuel IN ('Électrique') THEN 1 ELSE 0 END) ev,
	35	+ SUM(CASE WHEN fuel LIKE 'Hybride%' THEN 1 ELSE 0 END) hybrid
	36	+ FROM vehicles WHERE active=1 AND kind='auto'""", (now - 7 * 86400,)).fetchone()
	37	+
	38	+ # histogramme des prix
	39	+ price_hist = []
	40	+ for i, lo in enumerate(PRICE_BUCKETS):
	41	+ hi = PRICE_BUCKETS[i + 1] if i + 1 < len(PRICE_BUCKETS) else None
	42	+ n = sum(1 for p in prices
	43	+ if p >= lo * 1000 and (hi is None or p < hi * 1000))
	44	+ label = f"{lo}–{hi}k" if hi else f"{lo}k+"
	45	+ price_hist.append({"label": label, "n": n})
	46	+
	47	+ # histogramme kilométrage
	48	+ km_hist = []
	49	+ for i, lo in enumerate(KM_BUCKETS):
	50	+ hi = KM_BUCKETS[i + 1] if i + 1 < len(KM_BUCKETS) else None
	51	+ n = sum(1 for k in kms
	52	+ if k >= lo * 1000 and (hi is None or k < hi * 1000))
	53	+ label = f"{lo}–{hi}k" if hi else f"{lo}k+"
	54	+ km_hist.append({"label": label, "n": n})
	55	+
	56	+ # répartition par année (2010+ ; avant regroupé)
	57	+ year_rows = con.execute(
	58	+ "SELECT year, COUNT(*) n FROM vehicles WHERE active=1 AND kind='auto'"
	59	+ " AND year IS NOT NULL GROUP BY year ORDER BY year").fetchall()
	60	+ year_hist, older = [], 0
	61	+ for r in year_rows:
	62	+ if r["year"] < 2012:
	63	+ older += r["n"]
	64	+ else:
	65	+ year_hist.append({"label": str(r["year"]), "n": r["n"]})
	66	+ if older:
	67	+ year_hist.insert(0, {"label": "≤2011", "n": older})
	68	+
	69	+ def _rows(sql, args=()):
	70	+ return [dict(r) for r in con.execute(sql, args).fetchall()]
	71	+
	72	+ out = {
	73	+ "generated_at": now,
	74	+ "total": head["total"],
	75	+ "sources": head["sources"],
	76	+ "regions": head["regions"],
	77	+ "avg_price": head["avg_price"],
	78	+ "median_price": statistics.median(prices) if prices else None,
	79	+ "avg_km": head["avg_km"],
	80	+ "median_km": statistics.median(kms) if kms else None,
	81	+ "avg_year": head["avg_year"],
	82	+ "new_7d": head["new_7d"],
	83	+ "electrified_pct": round(100.0 * (head["ev"] + head["hybrid"])
	84	+ / head["total"], 1) if head["total"] else 0,
	85	+ "ev": head["ev"], "hybrid": head["hybrid"],
	86	+ "price_hist": price_hist,
	87	+ "km_hist": km_hist,
	88	+ "year_hist": year_hist,
	89	+ "by_make": _rows(
	90	+ "SELECT make label, COUNT(*) n, ROUND(AVG(price)) avg_price"
	91	+ " FROM vehicles WHERE active=1 AND kind='auto' AND make<>''"
	92	+ " GROUP BY make ORDER BY n DESC LIMIT 14"),
	93	+ "by_region": _rows(
	94	+ "SELECT region label, COUNT(*) n, ROUND(AVG(price)) avg_price"
	95	+ " FROM vehicles WHERE active=1 AND kind='auto' AND region<>''"
	96	+ " GROUP BY region ORDER BY n DESC"),
	97	+ "by_body": _rows(
	98	+ "SELECT body_type label, COUNT(*) n FROM vehicles WHERE active=1 AND kind='auto'"
	99	+ " AND body_type<>'' GROUP BY body_type ORDER BY n DESC"),
	100	+ "by_fuel": _rows(
	101	+ "SELECT fuel label, COUNT(*) n FROM vehicles WHERE active=1 AND kind='auto'"
	102	+ " AND fuel<>'' GROUP BY fuel ORDER BY n DESC"),
	103	+ "top_models": _rows(
	104	+ "SELECT make \|\| ' ' \|\| model label, COUNT(*) n,"
	105	+ " ROUND(AVG(price)) avg_price, ROUND(AVG(mileage_km)) avg_km"
	106	+ " FROM vehicles WHERE active=1 AND kind='auto' AND make<>'' AND model<>''"
	107	+ " GROUP BY make, model ORDER BY n DESC LIMIT 15"),
	108	+ "top_dealers": _rows(
	109	+ "SELECT dealer_name label, COUNT(*) n, ROUND(AVG(price)) avg_price"
	110	+ " FROM vehicles WHERE active=1 AND kind='auto' AND dealer_name<>''"
	111	+ " GROUP BY dealer_name ORDER BY n DESC LIMIT 12"),
	112	+ "avg_price_by_year": _rows(
	113	+ "SELECT year label, ROUND(AVG(price)) n FROM vehicles"
	114	+ " WHERE active=1 AND kind='auto' AND year>=2012 AND price IS NOT NULL"
	115	+ " GROUP BY year ORDER BY year"),
	116	+ "price_drops": _rows(
	117	+ """SELECT v.uid, v.title, v.year, v.price, v.dealer_name, v.city,
	118	+ p.prev_price
	119	+ FROM vehicles v JOIN (
	120	+ SELECT uid, price prev_price,
	121	+ ROW_NUMBER() OVER (PARTITION BY uid ORDER BY ts DESC) rn
	122	+ FROM price_log) p ON p.uid=v.uid AND p.rn=2
	123	+ WHERE v.active=1 AND kind='auto' AND v.price IS NOT NULL
	124	+ AND p.prev_price > v.price
	125	+ ORDER BY (p.prev_price - v.price) DESC LIMIT 12"""),
	126	+ }
	127	+ con.close()
	128	+ return out

added apps/auto/autoka/normalize.py +378 −0

		`@@ -0,0 +1,378 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# normalize.py : normalisation des champs véhicule — prix, kilométrage, année,
	5	+# marque/modèle, transmission, carburant, motricité, carrosserie,
	6	+# ville -> région administrative.
	7	+# -----------------------------------------------------------------------------
	8	+from __future__ import annotations
	9	+
	10	+import re
	11	+import unicodedata
	12	+
	13	+__all__ = [
	14	+ "strip_accents", "parse_price", "price_is_from", "parse_mileage",
	15	+ "parse_year", "normalize_make", "split_title", "normalize_transmission",
	16	+ "normalize_fuel", "normalize_drivetrain", "normalize_body", "infer_region",
	17	+ "MAKES",
	18	+]
	19	+
	20	+
	21	+def strip_accents(text: str) -> str:
	22	+ return "".join(c for c in unicodedata.normalize("NFD", text)
	23	+ if unicodedata.category(c) != "Mn")
	24	+
	25	+
	26	+# ---------------------------------------------------------------------------
	27	+# Prix et kilométrage
	28	+# ---------------------------------------------------------------------------
	29	+
	30	+_PRICE_RE = re.compile(r"(\d{1,3}(?:[ ,.]\d{3})+\|\d{3,6})(?:[,.](\d{2}))?\s*\$")
	31	+_PRICE_BARE_RE = re.compile(r"\$\s*(\d{1,3}(?:[ ,.]\d{3})+\|\d{3,6})")
	32	+
	33	+
	34	+def parse_price(label: str \| None) -> float \| None:
	35	+ """« 21 495 $ », « $21,495 », « 21495$ » -> 21495.0 (None si absent/0)."""
	36	+ if not label:
	37	+ return None
	38	+ m = _PRICE_RE.search(label) or _PRICE_BARE_RE.search(label)
	39	+ if not m:
	40	+ return None
	41	+ raw = re.sub(r"[ ,.]", "", m.group(1))
	42	+ try:
	43	+ value = float(raw)
	44	+ except ValueError:
	45	+ return None
	46	+ # bornes de vraisemblance pour une auto usagée
	47	+ if value < 300 or value > 500_000:
	48	+ return None
	49	+ return value
	50	+
	51	+
	52	+def price_is_from(label: str) -> bool:
	53	+ return bool(re.search(r"à partir\|a partir\|starting\|from", label, re.I))
	54	+
	55	+
	56	+_KM_RE = re.compile(r"(\d{1,3}(?:[ ,.]\d{3})+\|\d+)\s*km", re.I)
	57	+
	58	+
	59	+def parse_mileage(label: str \| None) -> float \| None:
	60	+ """« 45 678 km », « 45,678 KM » -> 45678.0."""
	61	+ if not label:
	62	+ return None
	63	+ m = _KM_RE.search(label)
	64	+ if not m:
	65	+ return None
	66	+ raw = re.sub(r"[ ,.]", "", m.group(1))
	67	+ try:
	68	+ value = float(raw)
	69	+ except ValueError:
	70	+ return None
	71	+ if value < 0 or value > 900_000:
	72	+ return None
	73	+ return value
	74	+
	75	+
	76	+_YEAR_RE = re.compile(r"\b(19[89]\d\|20[0-3]\d)\b")
	77	+
	78	+
	79	+def parse_year(text: str \| None) -> int \| None:
	80	+ if not text:
	81	+ return None
	82	+ m = _YEAR_RE.search(text)
	83	+ return int(m.group(1)) if m else None
	84	+
	85	+
	86	+# ---------------------------------------------------------------------------
	87	+# Marques (canoniques) — clé = version sans accents/majuscules/espaces
	88	+# ---------------------------------------------------------------------------
	89	+
	90	+MAKES = [
	91	+ "Acura", "Alfa Romeo", "Aston Martin", "Audi", "Bentley", "BMW", "Buick",
	92	+ "Cadillac", "Chevrolet", "Chrysler", "Dodge", "Ferrari", "Fiat", "Fisker",
	93	+ "Ford", "Genesis", "GMC", "Honda", "Hummer", "Hyundai", "Infiniti",
	94	+ "Jaguar", "Jeep", "Kia", "Lamborghini", "Land Rover", "Lexus", "Lincoln",
	95	+ "Lotus", "Maserati", "Mazda", "McLaren", "Mercedes-Benz", "Mercury",
	96	+ "MINI", "Mitsubishi", "Nissan", "Oldsmobile", "Plymouth", "Polestar",
	97	+ "Pontiac", "Porsche", "RAM", "Rivian", "Rolls-Royce", "Saab", "Saturn",
	98	+ "Scion", "Smart", "Subaru", "Suzuki", "Tesla", "Toyota", "VinFast",
	99	+ "Volkswagen", "Volvo",
	100	+]
	101	+
	102	+_MAKE_ALIASES = {
	103	+ "mercedes": "Mercedes-Benz", "mercedesbenz": "Mercedes-Benz",
	104	+ "mercedesamg": "Mercedes-Benz", "vw": "Volkswagen", "chevy": "Chevrolet",
	105	+ "landrover": "Land Rover", "rangerover": "Land Rover", "mini": "MINI",
	106	+ "ram": "RAM", "gmc": "GMC", "bmw": "BMW", "alfa": "Alfa Romeo",
	107	+ "alfaromeo": "Alfa Romeo", "rollsroyce": "Rolls-Royce", "vinfast": "VinFast",
	108	+}
	109	+
	110	+_MAKE_LOOKUP = {strip_accents(m).lower().replace(" ", "").replace("-", ""): m
	111	+ for m in MAKES}
	112	+_MAKE_LOOKUP.update(_MAKE_ALIASES)
	113	+
	114	+# marques MOTO/SCOOTER (verticale moto — connectors/moto_dealers.py) :
	115	+# ajoutées au lookup de normalize_make SEULEMENT (pas à MAKES, pour ne pas
	116	+# influencer split_title côté autos). Sans elles, le repli .title() casserait
	117	+# les sigles : « KTM » → « Ktm », « CFMOTO » → « Cfmoto », etc.
	118	+_MOTO_MAKE_LOOKUP = {
	119	+ "harleydavidson": "Harley-Davidson", "harley": "Harley-Davidson",
	120	+ "indianmotorcycle": "Indian Motorcycle", "indian": "Indian Motorcycle",
	121	+ "ktm": "KTM", "brp": "BRP", "canam": "Can-Am",
	122	+ "cfmoto": "CFMOTO", "gasgas": "GASGAS", "kymco": "KYMCO",
	123	+ "mvagusta": "MV Agusta", "motoguzzi": "Moto Guzzi",
	124	+ "royalenfield": "Royal Enfield", "victorymotorcycles": "Victory",
	125	+ "victory": "Victory", "ssr": "SSR", "surron": "Sur-Ron",
	126	+}
	127	+_MAKE_LOOKUP.update(_MOTO_MAKE_LOOKUP)
	128	+
	129	+
	130	+def normalize_make(raw: str \| None) -> str:
	131	+ if not raw:
	132	+ return ""
	133	+ key = strip_accents(raw.strip()).lower().replace(" ", "").replace("-", "")
	134	+ return _MAKE_LOOKUP.get(key, raw.strip().title() if raw.strip() else "")
	135	+
	136	+
	137	+# marques triées par longueur décroissante pour matcher « Land Rover » avant « Rover »
	138	+_MAKES_BY_LEN = sorted(MAKES + ["Mercedes"], key=len, reverse=True)
	139	+
	140	+
	141	+def split_title(title: str) -> tuple[int \| None, str, str]:
	142	+ """« Toyota RAV4 2019 XLE AWD » ou « 2019 Toyota RAV4 » ->
	143	+ (année, marque, modèle+version). Champs vides si non détectés."""
	144	+ if not title:
	145	+ return None, "", ""
	146	+ year = parse_year(title)
	147	+ text = _YEAR_RE.sub(" ", title)
	148	+ flat = strip_accents(text).lower()
	149	+ for make in _MAKES_BY_LEN:
	150	+ mk = strip_accents(make).lower()
	151	+ idx = flat.find(mk)
	152	+ if idx >= 0:
	153	+ before = flat[idx - 1] if idx > 0 else " "
	154	+ after_i = idx + len(mk)
	155	+ after = flat[after_i] if after_i < len(flat) else " "
	156	+ if not before.isalnum() and not after.isalnum():
	157	+ model = text[after_i:].strip(" -–\|,·")
	158	+ model = re.sub(r"\s{2,}", " ", model).strip()
	159	+ return year, normalize_make(make), model
	160	+ return year, "", text.strip()
	161	+
	162	+
	163	+# ---------------------------------------------------------------------------
	164	+# Transmission, carburant, motricité, carrosserie
	165	+# ---------------------------------------------------------------------------
	166	+
	167	+def normalize_transmission(raw: str \| None) -> str:
	168	+ if not raw:
	169	+ return ""
	170	+ t = strip_accents(raw).lower()
	171	+ if "cvt" in t or "variation continue" in t:
	172	+ return "Automatique" # CVT présentée comme automatique
	173	+ if "man" in t:
	174	+ return "Manuelle"
	175	+ if "auto" in t or "tiptronic" in t or "dsg" in t or "pdk" in t:
	176	+ return "Automatique" # « Automatique 6 vitesses » = automatique
	177	+ if re.search(r"\b[56]\s?(vit\|spd\|speed)", t):
	178	+ return "Manuelle" # « 6 vitesses » seul = boîte manuelle
	179	+ return ""
	180	+
	181	+
	182	+def normalize_fuel(raw: str \| None) -> str:
	183	+ if not raw:
	184	+ return ""
	185	+ t = strip_accents(raw).lower()
	186	+ if "rechargeable" in t or "plug" in t or "phev" in t:
	187	+ return "Hybride rechargeable"
	188	+ if "hybrid" in t or "hybride" in t:
	189	+ return "Hybride"
	190	+ if "electr" in t or "ev" == t.strip() or "electric" in t:
	191	+ return "Électrique"
	192	+ if "diesel" in t or "tdi" in t:
	193	+ return "Diesel"
	194	+ if "essence" in t or "gas" in t or "petrol" in t or "sans plomb" in t:
	195	+ return "Essence"
	196	+ return ""
	197	+
	198	+
	199	+def normalize_drivetrain(raw: str \| None) -> str:
	200	+ if not raw:
	201	+ return ""
	202	+ t = strip_accents(raw).lower()
	203	+ if "awd" in t or "4wd" in t or "4x4" in t or "integrale" in t or "all" in t \
	204	+ or "quattro" in t or "xdrive" in t or "4matic" in t or "4motion" in t:
	205	+ return "Intégrale / 4x4"
	206	+ if "rwd" in t or "propulsion" in t or "arriere" in t or "rear" in t:
	207	+ return "Propulsion"
	208	+ if "fwd" in t or "traction" in t or "avant" in t or "front" in t or "2wd" in t:
	209	+ return "Traction"
	210	+ return ""
	211	+
	212	+
	213	+# jetons STRICTS repérables dans un titre/une version (pas de faux positifs)
	214	+_DRIVE_TOKEN_RE = re.compile(
	215	+ r"\b(awd\|4wd\|4x4\|4rm\|quattro\|xdrive\|4matic\|4motion\|sh-awd\|e-four\|"
	216	+ r"traction integrale\|integrale\|awc)\b", re.I)
	217	+_RWD_TOKEN_RE = re.compile(r"\b(rwd\|propulsion\|sdrive)\b", re.I)
	218	+_FWD_TOKEN_RE = re.compile(r"\b(fwd\|2rm\|traction avant)\b", re.I)
	219	+
	220	+
	221	+def infer_drivetrain_from_text(text: str \| None) -> str:
	222	+ """Motricité déduite des jetons explicites du titre/version (repli)."""
	223	+ if not text:
	224	+ return ""
	225	+ flat = strip_accents(text)
	226	+ if _DRIVE_TOKEN_RE.search(flat):
	227	+ return "Intégrale / 4x4"
	228	+ if _RWD_TOKEN_RE.search(flat):
	229	+ return "Propulsion"
	230	+ if _FWD_TOKEN_RE.search(flat):
	231	+ return "Traction"
	232	+ return ""
	233	+
	234	+
	235	+_FUEL_HR_RE = re.compile(r"\b(phev\|plug-?in\|hybride?\s+rechargeable)\b", re.I)
	236	+_FUEL_HYB_RE = re.compile(r"\b(hybride?\|hybrid)\b", re.I)
	237	+_FUEL_EV_RE = re.compile(
	238	+ r"\b(electrique\|electric\|ev\|bev\|e-tron\|ioniq \d\|kona electric\|"
	239	+ r"bolt\|leaf\|model [3sxy]\|id\.?4)\b", re.I)
	240	+_FUEL_DIESEL_RE = re.compile(r"\b(diesel\|tdi\|duramax\|cummins\|ecodiesel)\b", re.I)
	241	+
	242	+
	243	+def infer_fuel_from_text(text: str \| None) -> str:
	244	+ """Carburant déduit des jetons explicites du titre/version (repli).
	245	+
	246	+ Volontairement conservateur : ne regarde jamais la description
	247	+ (« sièges électriques » n'est pas un véhicule électrique).
	248	+ """
	249	+ if not text:
	250	+ return ""
	251	+ flat = strip_accents(text)
	252	+ if _FUEL_HR_RE.search(flat):
	253	+ return "Hybride rechargeable"
	254	+ if _FUEL_HYB_RE.search(flat):
	255	+ return "Hybride"
	256	+ if _FUEL_EV_RE.search(flat):
	257	+ return "Électrique"
	258	+ if _FUEL_DIESEL_RE.search(flat):
	259	+ return "Diesel"
	260	+ return ""
	261	+
	262	+
	263	+_BODY_MAP = [
	264	+ (("vus", "suv", "utilitaire", "crossover", "multisegment"), "VUS"),
	265	+ (("camionnette", "camion", "pickup", "pick-up", "truck", "cabine"), "Camionnette"),
	266	+ (("fourgonnette", "minivan", "mini-fourgonnette", "van", "fourgon"), "Fourgonnette"),
	267	+ (("cabriolet", "convertible", "decapotable"), "Cabriolet"),
	268	+ (("coupe",), "Coupé"),
	269	+ (("hayon", "hatchback", "a hayon", "5 portes"), "Hayon"),
	270	+ (("familiale", "wagon", "break"), "Familiale"),
	271	+ (("berline", "sedan", "4 portes"), "Berline"),
	272	+]
	273	+
	274	+
	275	+def normalize_body(raw: str \| None) -> str:
	276	+ if not raw:
	277	+ return ""
	278	+ t = strip_accents(raw).lower()
	279	+ for keys, canon in _BODY_MAP:
	280	+ if any(k in t for k in keys):
	281	+ return canon
	282	+ return ""
	283	+
	284	+
	285	+# ---------------------------------------------------------------------------
	286	+# Ville -> région administrative du Québec
	287	+# ---------------------------------------------------------------------------
	288	+
	289	+_REGIONS: dict[str, tuple[str, ...]] = {
	290	+ "Capitale-Nationale": (
	291	+ "quebec", "ste-foy", "sainte-foy", "val-belair", "beauport", "charlesbourg",
	292	+ "loretteville", "l'ancienne-lorette", "ancienne-lorette", "donnacona",
	293	+ "cap-sante", "pont-rouge", "saint-augustin", "st-augustin", "baie-saint-paul",
	294	+ "la malbaie", "portneuf", "saint-raymond", "boischatel", "vanier",
	295	+ ),
	296	+ "Chaudière-Appalaches": (
	297	+ "levis", "saint-nicolas", "st-nicolas", "charny", "saint-romuald",
	298	+ "st-romuald", "saint-georges", "st-georges", "thetford", "montmagny",
	299	+ "sainte-marie", "ste-marie", "beauce", "saint-joseph", "lac-etchemin",
	300	+ "bernieres", "breakeyville", "laurier-station",
	301	+ ),
	302	+ "Montréal": (
	303	+ "montreal", "saint-leonard", "st-leonard", "anjou", "lasalle", "verdun",
	304	+ "dorval", "pointe-claire", "kirkland", "montreal-nord", "montreal-est",
	305	+ "ahuntsic", "villeray", "rosemont", "hochelaga", "lachine", "pierrefonds",
	306	+ ),
	307	+ "Laval": ("laval", "chomedey", "vimont", "duvernay", "sainte-rose", "ste-rose"),
	308	+ "Montérégie": (
	309	+ "longueuil", "brossard", "saint-hubert", "st-hubert", "boucherville",
	310	+ "chateauguay", "granby", "saint-hyacinthe", "st-hyacinthe", "sorel",
	311	+ "valleyfield", "salaberry", "vaudreuil", "saint-jean-sur-richelieu",
	312	+ "st-jean-sur-richelieu", "chambly", "beloeil", "la prairie", "candiac",
	313	+ "saint-constant", "st-constant", "varennes", "cowansville", "magog",
	314	+ "sainte-julie", "ste-julie", "mont-saint-hilaire", "acton vale",
	315	+ "carignan", "ile-perrot", "l'ile-perrot", "saint-basile", "st-basile",
	316	+ "marieville", "mont-saint-gregoire", "napierville", "saint-remi",
	317	+ ),
	318	+ "Laurentides": (
	319	+ "saint-jerome", "st-jerome", "blainville", "boisbriand", "mirabel",
	320	+ "saint-eustache", "st-eustache", "sainte-therese", "ste-therese",
	321	+ "lachute", "mont-tremblant", "sainte-agathe", "ste-agathe", "saint-sauveur",
	322	+ "st-sauveur", "rosemere", "deux-montagnes", "mont-laurier",
	323	+ ),
	324	+ "Lanaudière": (
	325	+ "joliette", "repentigny", "terrebonne", "mascouche", "l'assomption",
	326	+ "assomption", "rawdon", "berthierville", "lavaltrie", "saint-lin",
	327	+ "st-lin", "charlemagne",
	328	+ ),
	329	+ "Estrie": (
	330	+ "sherbrooke", "rock forest", "fleurimont", "coaticook", "windsor",
	331	+ "east angus", "lac-megantic", "asbestos", "val-des-sources", "bromont",
	332	+ ),
	333	+ "Mauricie": (
	334	+ "trois-rivieres", "shawinigan", "grand-mere", "louiseville", "nicolet",
	335	+ "la tuque", "cap-de-la-madeleine",
	336	+ ),
	337	+ "Centre-du-Québec": (
	338	+ "drummondville", "victoriaville", "plessisville", "becancour",
	339	+ "warwick", "princeville",
	340	+ ),
	341	+ "Saguenay–Lac-Saint-Jean": (
	342	+ "saguenay", "chicoutimi", "jonquiere", "alma", "roberval", "dolbeau",
	343	+ "saint-felicien", "st-felicien", "la baie",
	344	+ ),
	345	+ "Bas-Saint-Laurent": (
	346	+ "rimouski", "riviere-du-loup", "matane", "mont-joli", "amqui",
	347	+ "la pocatiere", "temiscouata", "trois-pistoles",
	348	+ ),
	349	+ "Gaspésie–Îles-de-la-Madeleine": (
	350	+ "gaspe", "caplan", "bonaventure", "carleton", "chandler", "new richmond",
	351	+ "sainte-anne-des-monts", "ste-anne-des-monts",
	352	+ ),
	353	+ "Côte-Nord": (
	354	+ "baie-comeau", "sept-iles", "port-cartier", "forestville", "havre-saint-pierre",
	355	+ ),
	356	+ "Abitibi-Témiscamingue": (
	357	+ "rouyn-noranda", "rouyn", "val-d'or", "val-dor", "amos", "la sarre",
	358	+ "ville-marie", "malartic", "senneterre",
	359	+ ),
	360	+ "Outaouais": (
	361	+ "gatineau", "hull", "aylmer", "buckingham", "maniwaki", "papineauville",
	362	+ ),
	363	+}
	364	+
	365	+_CITY_TO_REGION = {city: region for region, cities in _REGIONS.items()
	366	+ for city in cities}
	367	+
	368	+
	369	+def infer_region(city: str \| None) -> str:
	370	+ if not city:
	371	+ return ""
	372	+ key = strip_accents(city.strip()).lower()
	373	+ if key in _CITY_TO_REGION:
	374	+ return _CITY_TO_REGION[key]
	375	+ for c, region in _CITY_TO_REGION.items():
	376	+ if c in key:
	377	+ return region
	378	+ return ""

added apps/auto/autoka/pdfgen.py +280 −0

		`@@ -0,0 +1,280 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# pdfgen.py : rapport PDF « Le marché de l'occasion » — vue d'ensemble des
	5	+# statistiques (héros, distributions, marques, régions, aubaines).
	6	+# -----------------------------------------------------------------------------
	7	+from __future__ import annotations
	8	+
	9	+import datetime
	10	+import io
	11	+
	12	+from reportlab.lib.colors import HexColor
	13	+from reportlab.lib.pagesizes import letter
	14	+from reportlab.lib.units import mm
	15	+from reportlab.pdfgen.canvas import Canvas
	16	+
	17	+from . import marketstats
	18	+
	19	+INK = HexColor("#17181c")
	20	+INK2 = HexColor("#4c4f57")
	21	+INK3 = HexColor("#8b8e96")
	22	+ACCENT = HexColor("#ff5a2a")
	23	+ACCENT_DEEP = HexColor("#cc3f16")
	24	+PAPER = HexColor("#f4f2ec")
	25	+SURFACE = HexColor("#ffffff")
	26	+GOOD = HexColor("#1c7a4d")
	27	+LINE = HexColor("#d8d5cd")
	28	+
	29	+W, H = letter
	30	+MARGIN = 18 * mm
	31	+
	32	+
	33	+def _fmt(n, suffix="") -> str:
	34	+ if n is None:
	35	+ return "—"
	36	+ return f"{round(n):,}".replace(",", " ") + suffix
	37	+
	38	+
	39	+class _Doc:
	40	+ """Petit assistant de mise en page (curseur vertical + gabarits)."""
	41	+
	42	+ def __init__(self, canvas: Canvas):
	43	+ self.c = canvas
	44	+ self.y = H - MARGIN
	45	+ self.page = 1
	46	+ self._chrome()
	47	+
	48	+ # -- gabarit de page -------------------------------------------------------
	49	+ def _chrome(self):
	50	+ c = self.c
	51	+ c.setFillColor(PAPER)
	52	+ c.rect(0, 0, W, H, stroke=0, fill=1)
	53	+ # bandeau encre
	54	+ c.setFillColor(INK)
	55	+ c.rect(0, H - 12 * mm, W, 12 * mm, stroke=0, fill=1)
	56	+ c.setFillColor(ACCENT)
	57	+ c.setFont("Helvetica-Bold", 11)
	58	+ c.drawString(MARGIN, H - 8 * mm, "Auto·Ka")
	59	+ c.setFillColor(HexColor("#c9cbd1"))
	60	+ c.setFont("Helvetica", 8)
	61	+ c.drawString(MARGIN + 18 * mm, H - 8 * mm,
	62	+ "Le marché des voitures usagées au Québec — rapport d'ensemble")
	63	+ c.drawRightString(W - MARGIN, H - 8 * mm,
	64	+ datetime.date.today().strftime("%Y-%m-%d"))
	65	+ # pied
	66	+ c.setFillColor(INK3)
	67	+ c.setFont("Helvetica", 7)
	68	+ c.drawString(MARGIN, 10 * mm,
	69	+ "www.auto-ka.com — agrégateur indépendant, données lues "
	70	+ "directement sur les sites des concessionnaires")
	71	+ c.drawRightString(W - MARGIN, 10 * mm, f"page {self.page}")
	72	+ self.y = H - 22 * mm
	73	+
	74	+ def new_page(self):
	75	+ self.c.showPage()
	76	+ self.page += 1
	77	+ self._chrome()
	78	+
	79	+ def need(self, height: float):
	80	+ if self.y - height < 16 * mm:
	81	+ self.new_page()
	82	+
	83	+ # -- blocs -----------------------------------------------------------------
	84	+ def title(self, text: str):
	85	+ self.need(14 * mm)
	86	+ self.c.setFillColor(ACCENT_DEEP)
	87	+ self.c.setFont("Helvetica-Bold", 8)
	88	+ self.c.drawString(MARGIN, self.y, "— " + text.upper())
	89	+ self.y -= 7 * mm
	90	+
	91	+ def hero_row(self, items: list[tuple[str, str]]):
	92	+ """Rangée de tuiles héros (valeur + étiquette)."""
	93	+ n = len(items)
	94	+ gap = 4 * mm
	95	+ w = (W - 2 * MARGIN - gap * (n - 1)) / n
	96	+ h = 20 * mm
	97	+ self.need(h + 6 * mm)
	98	+ x = MARGIN
	99	+ for value, label in items:
	100	+ self.c.setFillColor(SURFACE)
	101	+ self.c.setStrokeColor(INK)
	102	+ self.c.setLineWidth(1.2)
	103	+ self.c.roundRect(x, self.y - h, w, h, 2 * mm, stroke=1, fill=1)
	104	+ self.c.setFillColor(INK)
	105	+ self.c.setFont("Helvetica-Bold", 15)
	106	+ self.c.drawString(x + 3.5 * mm, self.y - 9 * mm, value)
	107	+ self.c.setFillColor(INK3)
	108	+ self.c.setFont("Helvetica", 6.5)
	109	+ self.c.drawString(x + 3.5 * mm, self.y - h + 3.5 * mm, label.upper())
	110	+ x += w + gap
	111	+ self.y -= h + 8 * mm
	112	+
	113	+ def bars(self, rows: list[dict], value_key="n", label_key="label",
	114	+ extra_key=None, height_per=6.2 * mm, color=ACCENT,
	115	+ value_fmt=lambda v: _fmt(v)):
	116	+ """Barres horizontales fines, étiquettes directes, coins arrondis."""
	117	+ if not rows:
	118	+ return
	119	+ total_h = height_per * len(rows)
	120	+ self.need(total_h + 4 * mm)
	121	+ max_v = max(r[value_key] or 0 for r in rows) or 1
	122	+ label_w = 42 * mm
	123	+ bar_max = W - 2 * MARGIN - label_w - 26 * mm
	124	+ for r in rows:
	125	+ v = r[value_key] or 0
	126	+ bw = max(1.2 * mm, bar_max * v / max_v)
	127	+ yb = self.y - 4.2 * mm
	128	+ self.c.setFillColor(INK2)
	129	+ self.c.setFont("Helvetica", 7.5)
	130	+ label = str(r[label_key])[:30]
	131	+ self.c.drawRightString(MARGIN + label_w - 2 * mm, yb + 0.6 * mm, label)
	132	+ self.c.setFillColor(color)
	133	+ self.c.roundRect(MARGIN + label_w, yb, bw, 3.4 * mm, 1 * mm,
	134	+ stroke=0, fill=1)
	135	+ self.c.setFillColor(INK)
	136	+ self.c.setFont("Helvetica-Bold", 7)
	137	+ txt = value_fmt(v)
	138	+ if extra_key and r.get(extra_key) is not None:
	139	+ txt += f" · moy. {_fmt(r[extra_key], ' $')}"
	140	+ self.c.setFont("Helvetica", 7)
	141	+ self.c.drawString(MARGIN + label_w + bw + 2 * mm, yb + 0.6 * mm, txt)
	142	+ self.y -= height_per
	143	+ self.y -= 5 * mm
	144	+
	145	+ def histogram(self, rows: list[dict], height=32 * mm, color=ACCENT):
	146	+ """Histogramme vertical (classes de prix/km/années)."""
	147	+ if not rows:
	148	+ return
	149	+ self.need(height + 14 * mm)
	150	+ n = len(rows)
	151	+ gap = 1.6 * mm
	152	+ bw = (W - 2 * MARGIN - gap * (n - 1)) / n
	153	+ max_v = max(r["n"] for r in rows) or 1
	154	+ base = self.y - height
	155	+ x = MARGIN
	156	+ self.c.setFont("Helvetica", 6)
	157	+ for r in rows:
	158	+ bh = max(1 * mm, height * r["n"] / max_v)
	159	+ self.c.setFillColor(color)
	160	+ self.c.roundRect(x, base, bw, bh, 1 * mm, stroke=0, fill=1)
	161	+ self.c.setFillColor(INK)
	162	+ self.c.setFont("Helvetica-Bold", 6)
	163	+ self.c.drawCentredString(x + bw / 2, base + bh + 1.4 * mm, _fmt(r["n"]))
	164	+ self.c.setFillColor(INK3)
	165	+ self.c.setFont("Helvetica", 5.8)
	166	+ self.c.drawCentredString(x + bw / 2, base - 3.2 * mm, r["label"])
	167	+ x += bw + gap
	168	+ self.y = base - 9 * mm
	169	+
	170	+ def table(self, headers: list[str], rows: list[list[str]],
	171	+ widths: list[float]):
	172	+ self.need(6 * mm * (len(rows) + 1))
	173	+ x = MARGIN
	174	+ self.c.setFont("Helvetica-Bold", 7)
	175	+ self.c.setFillColor(INK3)
	176	+ for htxt, w in zip(headers, widths):
	177	+ self.c.drawString(x, self.y, htxt.upper())
	178	+ x += w
	179	+ self.y -= 1.6 * mm
	180	+ self.c.setStrokeColor(INK)
	181	+ self.c.setLineWidth(0.8)
	182	+ self.c.line(MARGIN, self.y, W - MARGIN, self.y)
	183	+ self.y -= 4.4 * mm
	184	+ for row in rows:
	185	+ self.need(5.4 * mm)
	186	+ x = MARGIN
	187	+ self.c.setFont("Helvetica", 7.5)
	188	+ self.c.setFillColor(INK)
	189	+ for cell, w in zip(row, widths):
	190	+ self.c.drawString(x, self.y, str(cell)[:42])
	191	+ x += w
	192	+ self.c.setStrokeColor(LINE)
	193	+ self.c.setLineWidth(0.4)
	194	+ self.c.line(MARGIN, self.y - 1.6 * mm, W - MARGIN, self.y - 1.6 * mm)
	195	+ self.y -= 5.4 * mm
	196	+ self.y -= 4 * mm
	197	+
	198	+
	199	+def rapport_pdf() -> bytes:
	200	+ """Rapport PDF multi-pages : vue d'ensemble du marché de l'occasion."""
	201	+ s = marketstats.compute()
	202	+ buf = io.BytesIO()
	203	+ c = Canvas(buf, pagesize=letter)
	204	+ c.setTitle("Auto-Ka — Rapport du marché de l'occasion")
	205	+ c.setAuthor("Simon-Pierre Boucher — contact@spboucher.ai")
	206	+ doc = _Doc(c)
	207	+
	208	+ # -- entête / héros ---------------------------------------------------------
	209	+ doc.c.setFillColor(INK)
	210	+ doc.c.setFont("Helvetica-Bold", 22)
	211	+ doc.c.drawString(MARGIN, doc.y, "Le marché de l'occasion, en un coup d'œil")
	212	+ doc.y -= 6 * mm
	213	+ doc.c.setFillColor(INK2)
	214	+ doc.c.setFont("Helvetica", 9)
	215	+ doc.c.drawString(
	216	+ MARGIN, doc.y,
	217	+ f"Inventaire actif agrégé de {s['sources']} concessionnaires dans "
	218	+ f"{s['regions']} régions du Québec.")
	219	+ doc.y -= 10 * mm
	220	+
	221	+ doc.hero_row([
	222	+ (_fmt(s["total"]), "véhicules en vente"),
	223	+ (_fmt(s["avg_price"], " $"), "prix moyen"),
	224	+ (_fmt(s["median_price"], " $"), "prix médian"),
	225	+ (_fmt(s["avg_km"], " km"), "km moyen"),
	226	+ ])
	227	+ doc.hero_row([
	228	+ (f"{s['avg_year']:.0f}" if s["avg_year"] else "—", "année moyenne"),
	229	+ (_fmt(s["new_7d"]), "arrivages (7 jours)"),
	230	+ (f"{s['electrified_pct']} %", "électrifiés (VÉ + hybrides)"),
	231	+ (_fmt(s["sources"]), "concessionnaires"),
	232	+ ])
	233	+
	234	+ # -- distributions ----------------------------------------------------------
	235	+ doc.title("Distribution des prix")
	236	+ doc.histogram(s["price_hist"])
	237	+ doc.title("Distribution du kilométrage (milliers de km)")
	238	+ doc.histogram(s["km_hist"], color=HexColor("#1f6fb5"))
	239	+
	240	+ # -- marques / régions ------------------------------------------------------
	241	+ doc.new_page()
	242	+ doc.title("Top marques (inventaire et prix moyen)")
	243	+ doc.bars(s["by_make"], extra_key="avg_price")
	244	+ doc.title("Par région (inventaire et prix moyen)")
	245	+ doc.bars(s["by_region"], extra_key="avg_price",
	246	+ color=HexColor("#1f6fb5"))
	247	+
	248	+ # -- modèles ----------------------------------------------------------------
	249	+ doc.new_page()
	250	+ doc.title("Modèles les plus offerts")
	251	+ doc.table(
	252	+ ["Modèle", "En vente", "Prix moyen", "KM moyen"],
	253	+ [[r["label"], _fmt(r["n"]), _fmt(r["avg_price"], " $"),
	254	+ _fmt(r["avg_km"], " km")] for r in s["top_models"]],
	255	+ [70 * mm, 30 * mm, 38 * mm, 38 * mm])
	256	+
	257	+ doc.title("Carrosseries")
	258	+ doc.bars(s["by_body"], color=HexColor("#1c7a4d"))
	259	+ doc.title("Carburants")
	260	+ doc.bars(s["by_fuel"], color=HexColor("#b58500"))
	261	+
	262	+ # -- aubaines ---------------------------------------------------------------
	263	+ if s["price_drops"]:
	264	+ doc.new_page()
	265	+ doc.title("Baisses de prix récentes (aubaines détectées)")
	266	+ doc.table(
	267	+ ["Véhicule", "Avant", "Maintenant", "Économie", "Concessionnaire"],
	268	+ [[f"{r['title'][:34]}", _fmt(r["prev_price"], " $"),
	269	+ _fmt(r["price"], " $"),
	270	+ "-" + _fmt(r["prev_price"] - r["price"], " $"),
	271	+ f"{r['dealer_name'][:22]} ({r['city']})"]
	272	+ for r in s["price_drops"]],
	273	+ [62 * mm, 24 * mm, 26 * mm, 24 * mm, 44 * mm])
	274	+
	275	+ doc.title("Plus grands inventaires")
	276	+ doc.bars(s["top_dealers"], extra_key="avg_price",
	277	+ color=HexColor("#7d4fc9"))
	278	+
	279	+ c.save()
	280	+ return buf.getvalue()

added apps/auto/autoka/schema.py +142 −0

		`@@ -0,0 +1,142 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# schema.py : modèle de données standardisé (Vehicle) + normalisation centrale
	5	+# -----------------------------------------------------------------------------
	6	+"""Schéma standard d'une annonce de véhicule usagé.
	7	+
	8	+Chaque connecteur, peu importe le site source, produit des objets `Vehicle`
	9	+conformes à ce schéma. `finalize()` applique la couche de normalisation
	10	+commune (autoka/normalize.py) : prix, kilométrage, année/marque/modèle
	11	+déduits du titre, transmission/carburant/carrosserie canoniques, région
	12	+administrative — les connecteurs restent simples et remplissent le brut.
	13	+"""
	14	+from __future__ import annotations
	15	+
	16	+import hashlib
	17	+import json
	18	+from dataclasses import dataclass, field, asdict
	19	+
	20	+from .normalize import ( # ré-exportés pour les connecteurs
	21	+ infer_region,
	22	+ normalize_body,
	23	+ normalize_drivetrain,
	24	+ normalize_fuel,
	25	+ normalize_make,
	26	+ normalize_transmission,
	27	+ parse_mileage,
	28	+ parse_price,
	29	+ parse_year,
	30	+ price_is_from,
	31	+ split_title,
	32	+ strip_accents,
	33	+)
	34	+
	35	+__all__ = [
	36	+ "Vehicle", "parse_price", "parse_mileage", "parse_year", "split_title",
	37	+ "normalize_make", "normalize_transmission", "normalize_fuel",
	38	+ "normalize_drivetrain", "normalize_body", "infer_region", "strip_accents",
	39	+]
	40	+
	41	+
	42	+@dataclass
	43	+class Vehicle:
	44	+ """Annonce de véhicule usagé standardisée Auto-Ka."""
	45	+
	46	+ source: str # id de la source (voir data/sources.json)
	47	+ external_id: str # identifiant chez la source (stock, VIN, slug)
	48	+ url: str # page de l'annonce chez le concessionnaire
	49	+ kind: str = "auto" # verticale : auto \| moto \| scooter
	50	+ title: str = "" # ex. "Toyota RAV4 XLE 2019"
	51	+ make: str = "" # Toyota, Honda, ...
	52	+ model: str = "" # RAV4, Civic, ...
	53	+ trim: str = "" # XLE AWD, Sport, ...
	54	+ year: int \| None = None
	55	+ price: float \| None = None # $ CAD affiché
	56	+ price_label: str = "" # texte original (ex. "21 495 $ + tx")
	57	+ mileage_km: float \| None = None
	58	+ mileage_label: str = "" # texte original (ex. "45 678 km")
	59	+ transmission: str = "" # Automatique \| Manuelle
	60	+ fuel: str = "" # Essence \| Diesel \| Hybride \| Hybride rechargeable \| Électrique
	61	+ drivetrain: str = "" # Traction \| Propulsion \| Intégrale / 4x4
	62	+ body_type: str = "" # VUS \| Berline \| Camionnette \| ...
	63	+ exterior_color: str = ""
	64	+ interior_color: str = ""
	65	+ engine: str = "" # ex. "2.5L 4 cyl."
	66	+ doors: int \| None = None
	67	+ seats: int \| None = None
	68	+ vin: str = ""
	69	+ stock_number: str = ""
	70	+ dealer_name: str = "" # nom d'affichage du commerce
	71	+ city: str = "" # ville du concessionnaire
	72	+ region: str = "" # région administrative (déduite de city)
	73	+ description: str = ""
	74	+ features: list[str] = field(default_factory=list) # équipements (texte source)
	75	+ details: dict = field(default_factory=dict) # champs structurés (JSON)
	76	+ images: list[str] = field(default_factory=list) # URLs absolues
	77	+ carfax_url: str = ""
	78	+
	79	+ @property
	80	+ def uid(self) -> str:
	81	+ return f"{self.source}:{self.external_id}"
	82	+
	83	+ def content_hash(self) -> str:
	84	+ """Hash du contenu pour la détection de changements (pseudo-webhook)."""
	85	+ payload = asdict(self)
	86	+ blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)
	87	+ return hashlib.sha256(blob.encode("utf-8")).hexdigest()
	88	+
	89	+ def finalize(self) -> "Vehicle":
	90	+ """Applique la normalisation commune. Appelé par le pipeline d'ingestion.
	91	+
	92	+ Idempotent ; ne remplace jamais une valeur explicite du connecteur.
	93	+ """
	94	+ self.title = " ".join((self.title or "").split())
	95	+
	96	+ # année / marque / modèle déduits du titre si absents
	97	+ t_year, t_make, t_model = split_title(self.title)
	98	+ if self.year is None:
	99	+ self.year = t_year
	100	+ if not self.make:
	101	+ self.make = t_make
	102	+ if not self.model and t_model:
	103	+ # retirer la version du modèle déduit si elle duplique trim
	104	+ self.model = t_model.split(" ")[0]
	105	+ self.make = normalize_make(self.make)
	106	+ self.model = " ".join(self.model.split())
	107	+
	108	+ if self.price is None:
	109	+ self.price = parse_price(self.price_label)
	110	+ if self.mileage_km is None:
	111	+ self.mileage_km = parse_mileage(self.mileage_label or self.description)
	112	+
	113	+ self.transmission = normalize_transmission(self.transmission) or self.transmission
	114	+ self.fuel = normalize_fuel(self.fuel) or self.fuel
	115	+ self.drivetrain = normalize_drivetrain(self.drivetrain) or self.drivetrain
	116	+ self.body_type = normalize_body(self.body_type) or self.body_type
	117	+
	118	+ # replis conservateurs depuis le titre/la version quand la source
	119	+ # n'expose pas le champ (jetons explicites seulement : AWD, PHEV…)
	120	+ badge = f"{self.title} {self.trim}"
	121	+ if not self.drivetrain:
	122	+ from .normalize import infer_drivetrain_from_text
	123	+ self.drivetrain = infer_drivetrain_from_text(badge)
	124	+ if not self.fuel:
	125	+ from .normalize import infer_fuel_from_text
	126	+ self.fuel = infer_fuel_from_text(badge)
	127	+
	128	+ if not self.region:
	129	+ self.region = infer_region(self.city)
	130	+
	131	+ if self.price_label and price_is_from(self.price_label):
	132	+ self.details["price_from"] = True
	133	+
	134	+ # année plausible seulement
	135	+ if self.year is not None and not (1980 <= self.year <= 2027):
	136	+ self.year = None
	137	+
	138	+ # dédoublonner les images en préservant l'ordre
	139	+ seen: set[str] = set()
	140	+ self.images = [u for u in self.images
	141	+ if u and not (u in seen or seen.add(u))]
	142	+ return self

added apps/auto/autoka/web.py +295 −0

		`@@ -0,0 +1,295 @@`
	1	+# -----------------------------------------------------------------------------
	2	+# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+# Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)
	5	+# -----------------------------------------------------------------------------
	6	+from __future__ import annotations
	7	+
	8	+import json
	9	+import threading
	10	+from pathlib import Path
	11	+
	12	+from fastapi import BackgroundTasks, FastAPI, HTTPException, Query
	13	+from fastapi.middleware.cors import CORSMiddleware
	14	+from fastapi.responses import FileResponse
	15	+from fastapi.staticfiles import StaticFiles
	16	+
	17	+from . import db, ingest
	18	+
	19	+ROOT = Path(__file__).resolve().parent.parent
	20	+SOURCES_PATH = ROOT / "data" / "sources.json"
	21	+FRONTEND_DIST = ROOT / "frontend" / "dist"
	22	+
	23	+app = FastAPI(title="Auto-Ka API", version="1.0",
	24	+ description="Agrégateur de voitures usagées — province de Québec")
	25	+app.add_middleware(CORSMiddleware, allow_origins=["*"],
	26	+ allow_methods=[""], allow_headers=[""])
	27	+
	28	+_sync_lock = threading.Lock()
	29	+
	30	+
	31	+def _row_to_dict(row) -> dict:
	32	+ d = dict(row)
	33	+ d["features"] = json.loads(d.get("features") or "[]")
	34	+ d["images"] = json.loads(d.get("images") or "[]")
	35	+ d["details"] = json.loads(d.get("details") or "{}")
	36	+ return d
	37	+
	38	+
	39	+def _apply_filters(sql: str, args: list, *, make=None, model=None, body_type=None,
	40	+ fuel=None, transmission=None, drivetrain=None, region=None,
	41	+ city=None, source=None, year_min=None, year_max=None,
	42	+ price_min=None, price_max=None, km_max=None, q=None) -> str:
	43	+ if make:
	44	+ sql += " AND make=?"; args.append(make)
	45	+ if model:
	46	+ sql += " AND model LIKE ?"; args.append(f"{model}%")
	47	+ if body_type:
	48	+ sql += " AND body_type=?"; args.append(body_type)
	49	+ if fuel:
	50	+ if fuel == "Hybride": # inclut l'hybride rechargeable
	51	+ sql += " AND fuel IN ('Hybride','Hybride rechargeable')"
	52	+ else:
	53	+ sql += " AND fuel=?"; args.append(fuel)
	54	+ if transmission:
	55	+ sql += " AND transmission=?"; args.append(transmission)
	56	+ if drivetrain:
	57	+ sql += " AND drivetrain=?"; args.append(drivetrain)
	58	+ if region:
	59	+ sql += " AND region=?"; args.append(region)
	60	+ if city:
	61	+ sql += " AND city LIKE ?"; args.append(f"%{city}%")
	62	+ if source:
	63	+ sql += " AND source=?"; args.append(source)
	64	+ if year_min is not None:
	65	+ sql += " AND year IS NOT NULL AND year>=?"; args.append(year_min)
	66	+ if year_max is not None:
	67	+ sql += " AND year IS NOT NULL AND year<=?"; args.append(year_max)
	68	+ if price_min is not None:
	69	+ sql += " AND price IS NOT NULL AND price>=?"; args.append(price_min)
	70	+ if price_max is not None:
	71	+ sql += " AND price IS NOT NULL AND price<=?"; args.append(price_max)
	72	+ if km_max is not None:
	73	+ sql += " AND mileage_km IS NOT NULL AND mileage_km<=?"; args.append(km_max)
	74	+ if q:
	75	+ sql += (" AND (title LIKE ? OR make LIKE ? OR model LIKE ?"
	76	+ " OR dealer_name LIKE ? OR city LIKE ?)")
	77	+ args += [f"%{q}%"] * 5
	78	+ return sql
	79	+
	80	+
	81	+_SORTS = {
	82	+ "price_asc": "price IS NULL, price ASC",
	83	+ "price_desc": "price IS NULL, price DESC",
	84	+ "km_asc": "mileage_km IS NULL, mileage_km ASC",
	85	+ "year_desc": "year IS NULL, year DESC",
	86	+ "recent": "first_seen DESC",
	87	+}
	88	+
	89	+
	90	+@app.get("/api/vehicles")
	91	+def list_vehicles(
	92	+ kind: str = "auto",
	93	+ make: str \| None = None,
	94	+ model: str \| None = None,
	95	+ body_type: str \| None = None,
	96	+ fuel: str \| None = None,
	97	+ transmission: str \| None = None,
	98	+ drivetrain: str \| None = None,
	99	+ region: str \| None = None,
	100	+ city: str \| None = None,
	101	+ source: str \| None = None,
	102	+ year_min: int \| None = None,
	103	+ year_max: int \| None = None,
	104	+ price_min: float \| None = None,
	105	+ price_max: float \| None = None,
	106	+ km_max: float \| None = None,
	107	+ q: str \| None = None,
	108	+ sort: str = "price_asc",
	109	+ active: int = 1,
	110	+ limit: int = Query(60, le=500),
	111	+ offset: int = 0,
	112	+):
	113	+ con = db.connect()
	114	+ sql = "SELECT * FROM vehicles WHERE 1=1"
	115	+ args: list = []
	116	+ if active in (0, 1):
	117	+ sql += " AND active=?"; args.append(active)
	118	+ if kind and kind != "tous":
	119	+ sql += " AND kind=?"; args.append(kind)
	120	+ sql = _apply_filters(sql, args, make=make, model=model, body_type=body_type,
	121	+ fuel=fuel, transmission=transmission,
	122	+ drivetrain=drivetrain, region=region, city=city,
	123	+ source=source, year_min=year_min, year_max=year_max,
	124	+ price_min=price_min, price_max=price_max,
	125	+ km_max=km_max, q=q)
	126	+ total = con.execute(f"SELECT COUNT(*) c FROM ({sql})", args).fetchone()["c"]
	127	+ sql += f" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?"
	128	+ args += [limit, offset]
	129	+ rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]
	130	+ con.close()
	131	+ return {"total": total, "count": len(rows), "vehicles": rows}
	132	+
	133	+
	134	+@app.get("/api/vehicles/{uid}")
	135	+def get_vehicle(uid: str):
	136	+ con = db.connect()
	137	+ row = con.execute("SELECT * FROM vehicles WHERE uid=?", (uid,)).fetchone()
	138	+ d = None
	139	+ if row is not None:
	140	+ d = _row_to_dict(row)
	141	+ d["price_history"] = [dict(r) for r in con.execute(
	142	+ "SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 10",
	143	+ (uid,)).fetchall()]
	144	+ # véhicules similaires : même marque+modèle, autres sources incluses
	145	+ if d.get("make") and d.get("model"):
	146	+ base_model = d["model"].split()[0]
	147	+ d["similar"] = [_row_to_dict(r) for r in con.execute(
	148	+ "SELECT * FROM vehicles WHERE active=1 AND make=? AND model LIKE ?"
	149	+ " AND uid<>? ORDER BY price IS NULL, price ASC LIMIT 6",
	150	+ (d["make"], f"{base_model}%", uid)).fetchall()]
	151	+ else:
	152	+ d["similar"] = []
	153	+ con.close()
	154	+ if d is None:
	155	+ raise HTTPException(404, "Véhicule introuvable")
	156	+ return d
	157	+
	158	+
	159	+@app.get("/api/facets")
	160	+def facets(make: str \| None = None, kind: str = "auto"):
	161	+ """Valeurs distinctes pour construire les filtres du frontend.
	162	+
	163	+ `make` (optionnel) restreint la liste des modèles à cette marque —
	164	+ utilisé par le sélecteur « Modèle » dépendant de « Marque ».
	165	+ """
	166	+ con = db.connect()
	167	+ kf = "" if kind in ("", "tous") else f" AND kind='{'moto' if kind=='moto' else 'scooter' if kind=='scooter' else 'auto'}'"
	168	+ model_sql = ("SELECT model, COUNT(*) n FROM vehicles"
	169	+ " WHERE active=1 AND model<>''" + kf)
	170	+ model_args: list = []
	171	+ if make:
	172	+ model_sql += " AND make=?"
	173	+ model_args.append(make)
	174	+ out = {
	175	+ "makes": [dict(r) for r in con.execute(
	176	+ "SELECT make, COUNT(*) n FROM vehicles WHERE active=1" + kf + " AND make<>''"
	177	+ " GROUP BY make ORDER BY n DESC")],
	178	+ "models": [dict(r) for r in con.execute(
	179	+ model_sql + " GROUP BY model ORDER BY n DESC LIMIT 80", model_args)],
	180	+ "body_types": [r["body_type"] for r in con.execute(
	181	+ "SELECT DISTINCT body_type FROM vehicles WHERE active=1" + kf + ""
	182	+ " AND body_type<>'' ORDER BY body_type")],
	183	+ "fuels": [r["fuel"] for r in con.execute(
	184	+ "SELECT DISTINCT fuel FROM vehicles WHERE active=1" + kf + " AND fuel<>''"
	185	+ " ORDER BY fuel")],
	186	+ "regions": [dict(r) for r in con.execute(
	187	+ "SELECT region, COUNT(*) n FROM vehicles WHERE active=1" + kf + " AND region<>''"
	188	+ " GROUP BY region ORDER BY n DESC")],
	189	+ "sources": [dict(r) for r in con.execute(
	190	+ "SELECT source, dealer_name, COUNT(*) n FROM vehicles WHERE active=1" + kf + ""
	191	+ " GROUP BY source ORDER BY n DESC")],
	192	+ "years": [dict(r) for r in con.execute(
	193	+ "SELECT MIN(year) y_min, MAX(year) y_max FROM vehicles"
	194	+ " WHERE active=1" + kf + " AND year IS NOT NULL")],
	195	+ }
	196	+ con.close()
	197	+ return out
	198	+
	199	+
	200	+@app.get("/api/sources")
	201	+def sources():
	202	+ registry = json.loads(SOURCES_PATH.read_text(encoding="utf-8"))["sources"]
	203	+ con = db.connect()
	204	+ counts = {r["source"]: r["n"] for r in con.execute(
	205	+ "SELECT source, COUNT(*) n FROM vehicles WHERE active=1 GROUP BY source")}
	206	+ last = {r["source"]: r["ts"] for r in con.execute(
	207	+ "SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source")}
	208	+ con.close()
	209	+ for s in registry:
	210	+ s["active_listings"] = counts.get(s["id"], 0)
	211	+ s["last_sync"] = last.get(s["id"])
	212	+ return {"sources": registry}
	213	+
	214	+
	215	+@app.get("/api/stats")
	216	+def stats():
	217	+ con = db.connect()
	218	+ row = con.execute(
	219	+ """SELECT COUNT(*) total,
	220	+ COUNT(DISTINCT source) sources,
	221	+ COUNT(DISTINCT region) regions,
	222	+ AVG(price) avg_price,
	223	+ AVG(mileage_km) avg_km,
	224	+ AVG(year) avg_year
	225	+ FROM vehicles WHERE active=1 AND kind='auto'""").fetchone()
	226	+ by_region = [dict(r) for r in con.execute(
	227	+ "SELECT region, COUNT(*) n, ROUND(AVG(price)) avg_price FROM vehicles"
	228	+ " WHERE active=1 AND kind='auto' AND region<>'' GROUP BY region ORDER BY n DESC")]
	229	+ by_make = [dict(r) for r in con.execute(
	230	+ "SELECT make, COUNT(*) n, ROUND(AVG(price)) avg_price FROM vehicles"
	231	+ " WHERE active=1 AND kind='auto' AND make<>'' GROUP BY make ORDER BY n DESC LIMIT 20")]
	232	+ by_body = [dict(r) for r in con.execute(
	233	+ "SELECT body_type, COUNT(*) n FROM vehicles WHERE active=1 AND kind='auto'"
	234	+ " AND body_type<>'' GROUP BY body_type ORDER BY n DESC")]
	235	+ # baisses de prix récentes (signal d'aubaine)
	236	+ drops = [dict(r) for r in con.execute(
	237	+ """SELECT v.uid, v.title, v.year, v.price, v.images, v.dealer_name, v.city,
	238	+ p.prev_price
	239	+ FROM vehicles v JOIN (
	240	+ SELECT uid, price prev_price,
	241	+ ROW_NUMBER() OVER (PARTITION BY uid ORDER BY ts DESC) rn
	242	+ FROM price_log) p ON p.uid=v.uid AND p.rn=2
	243	+ WHERE v.active=1 AND kind='auto' AND v.price IS NOT NULL AND p.prev_price > v.price
	244	+ ORDER BY (p.prev_price - v.price) DESC LIMIT 12""")]
	245	+ for d in drops:
	246	+ d["images"] = json.loads(d.get("images") or "[]")[:1]
	247	+ log = [dict(r) for r in con.execute(
	248	+ "SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20")]
	249	+ con.close()
	250	+ return {**dict(row), "by_region": by_region, "by_make": by_make,
	251	+ "by_body": by_body, "price_drops": drops, "recent_syncs": log}
	252	+
	253	+
	254	+@app.get("/api/stats/detailed")
	255	+def stats_detailed():
	256	+ """Agrégats complets du marché (source unique : autoka/marketstats.py)."""
	257	+ from . import marketstats
	258	+ return marketstats.compute()
	259	+
	260	+
	261	+@app.get("/api/stats/rapport.pdf")
	262	+def rapport_pdf():
	263	+ """Rapport PDF « Le marché de l'occasion » — vue d'ensemble."""
	264	+ from fastapi.responses import Response
	265	+ from . import pdfgen
	266	+ return Response(
	267	+ content=pdfgen.rapport_pdf(), media_type="application/pdf",
	268	+ headers={"Content-Disposition":
	269	+ 'attachment; filename="auto-ka-rapport-marche.pdf"'})
	270	+
	271	+
	272	+@app.post("/api/sync")
	273	+def trigger_sync(background: BackgroundTasks, source: str \| None = None):
	274	+ """Déclenche une synchronisation (équivalent d'un webhook entrant)."""
	275	+ def _job():
	276	+ with _sync_lock:
	277	+ ingest.run([source] if source else None)
	278	+ background.add_task(_job)
	279	+ return {"status": "démarré", "source": source or "toutes"}
	280	+
	281	+
	282	+# --- Frontend React (build Vite) --------------------------------------------
	283	+if FRONTEND_DIST.exists():
	284	+ app.mount("/assets", StaticFiles(directory=FRONTEND_DIST / "assets"), name="assets")
	285	+
	286	+ @app.get("/{full_path:path}")
	287	+ def spa(full_path: str):
	288	+ target = FRONTEND_DIST / full_path
	289	+ if full_path and target.is_file():
	290	+ return FileResponse(target)
	291	+ # index.html jamais mis en cache : les téléphones reçoivent toujours
	292	+ # la dernière version (les bundles /assets sont hachés, eux se cachent)
	293	+ return FileResponse(
	294	+ FRONTEND_DIST / "index.html",
	295	+ headers={"Cache-Control": "no-cache, must-revalidate"})

added apps/auto/data/sources.json +1536 −0

		`@@ -0,0 +1,1536 @@`
	1	+{
	2	+ "_comment": "Auto-Ka — Registre des sources (concessionnaires et marchands de voitures usagées, province de Québec). Auteur : Simon-Pierre Boucher — contact@spboucher.ai",
	3	+ "sources": [
	4	+ {
	5	+ "id": "forceoccasion",
	6	+ "name": "Force Occasion",
	7	+ "url": "https://www.forceoccasion.ca",
	8	+ "listing_url": "https://www.forceoccasion.ca/occasion/recherche.html",
	9	+ "city": "Québec",
	10	+ "region": "Capitale-Nationale",
	11	+ "platform": "D2C Media",
	12	+ "connector": "d2c_dealers",
	13	+ "status": "actif"
	14	+ },
	15	+ {
	16	+ "id": "girardautos",
	17	+ "name": "Girard Autos",
	18	+ "url": "https://www.girardautos.ca",
	19	+ "listing_url": "https://www.girardautos.ca/occasion/recherche.html",
	20	+ "city": "Trois-Rivières",
	21	+ "region": "Mauricie",
	22	+ "platform": "D2C Media",
	23	+ "connector": "d2c_dealers",
	24	+ "status": "actif"
	25	+ },
	26	+ {
	27	+ "id": "gervaisauto",
	28	+ "name": "Gervais Auto",
	29	+ "url": "https://www.gervaisauto.com",
	30	+ "listing_url": "https://www.gervaisauto.com/occasion/recherche.html",
	31	+ "city": "Shawinigan",
	32	+ "region": "Mauricie",
	33	+ "platform": "D2C Media",
	34	+ "connector": "d2c_dealers",
	35	+ "status": "actif"
	36	+ },
	37	+ {
	38	+ "id": "equipeformule",
	39	+ "name": "Équipe Formule",
	40	+ "url": "https://www.equipeformule.com",
	41	+ "listing_url": "https://www.equipeformule.com/occasion/recherche.html",
	42	+ "city": "Rimouski",
	43	+ "region": "Bas-Saint-Laurent",
	44	+ "platform": "D2C Media",
	45	+ "connector": "d2c_dealers",
	46	+ "status": "actif"
	47	+ },
	48	+ {
	49	+ "id": "autosevasion",
	50	+ "name": "Autos Évasion",
	51	+ "url": "https://www.autosevasion.com",
	52	+ "listing_url": "https://www.autosevasion.com/occasion/recherche.html",
	53	+ "city": "Sherbrooke",
	54	+ "region": "Estrie",
	55	+ "platform": "D2C Media",
	56	+ "connector": "d2c_dealers",
	57	+ "status": "actif"
	58	+ },
	59	+ {
	60	+ "id": "mferlandauto",
	61	+ "name": "M. Ferland Auto",
	62	+ "url": "https://www.mferlandauto.com",
	63	+ "listing_url": "https://www.mferlandauto.com/occasion/recherche.html",
	64	+ "city": "Sherbrooke",
	65	+ "region": "Estrie",
	66	+ "platform": "D2C Media",
	67	+ "connector": "d2c_dealers",
	68	+ "status": "actif"
	69	+ },
	70	+ {
	71	+ "id": "autosoccasionld",
	72	+ "name": "Autos Occasion LD",
	73	+ "url": "https://www.autosoccasions.ca",
	74	+ "listing_url": "https://www.autosoccasions.ca/occasion/recherche.html",
	75	+ "city": "Lévis",
	76	+ "region": "Chaudière-Appalaches",
	77	+ "platform": "D2C Media",
	78	+ "connector": "d2c_dealers",
	79	+ "status": "actif"
	80	+ },
	81	+ {
	82	+ "id": "levisautos",
	83	+ "name": "Lévis Autos",
	84	+ "url": "https://www.levisautos.com",
	85	+ "listing_url": "https://www.levisautos.com/occasion/recherche.html",
	86	+ "city": "Lévis",
	87	+ "region": "Chaudière-Appalaches",
	88	+ "platform": "D2C Media",
	89	+ "connector": "d2c_dealers",
	90	+ "status": "actif"
	91	+ },
	92	+ {
	93	+ "id": "autoquebeclevis",
	94	+ "name": "AutoQuébec Occasion Lévis",
	95	+ "url": "https://www.autoquebecoccasionlevis.com",
	96	+ "listing_url": "https://www.autoquebecoccasionlevis.com/occasion/recherche.html",
	97	+ "city": "Lévis",
	98	+ "region": "Chaudière-Appalaches",
	99	+ "platform": "D2C Media",
	100	+ "connector": "d2c_dealers",
	101	+ "status": "actif"
	102	+ },
	103	+ {
	104	+ "id": "autoquebectm",
	105	+ "name": "AutoQuébec Occasion Thetford Mines",
	106	+ "url": "https://www.autoquebectm.com",
	107	+ "listing_url": "https://www.autoquebectm.com/occasion/recherche.html",
	108	+ "city": "Thetford Mines",
	109	+ "region": "Chaudière-Appalaches",
	110	+ "platform": "D2C Media",
	111	+ "connector": "d2c_dealers",
	112	+ "status": "actif"
	113	+ },
	114	+ {
	115	+ "id": "abitibiautocredit",
	116	+ "name": "Abitibi Auto Crédit",
	117	+ "url": "https://www.abitibiautocredit.ca",
	118	+ "listing_url": "https://www.abitibiautocredit.ca/occasion/recherche.html",
	119	+ "city": "Rouyn-Noranda",
	120	+ "region": "Abitibi-Témiscamingue",
	121	+ "platform": "D2C Media",
	122	+ "connector": "d2c_dealers",
	123	+ "status": "actif"
	124	+ },
	125	+ {
	126	+ "id": "nicoloccasion",
	127	+ "name": "Nicol Occasion",
	128	+ "url": "https://www.nicoloccasion.com",
	129	+ "listing_url": "https://www.nicoloccasion.com/occasion/recherche.html",
	130	+ "city": "La Sarre",
	131	+ "region": "Abitibi-Témiscamingue",
	132	+ "platform": "D2C Media",
	133	+ "connector": "d2c_dealers",
	134	+ "status": "actif"
	135	+ },
	136	+ {
	137	+ "id": "poirieroccasion",
	138	+ "name": "Poirier Occasion",
	139	+ "url": "https://www.poirieroccasion.com",
	140	+ "listing_url": "https://www.poirieroccasion.com/occasion/recherche.html",
	141	+ "city": "Val-d'Or",
	142	+ "region": "Abitibi-Témiscamingue",
	143	+ "platform": "D2C Media",
	144	+ "connector": "d2c_dealers",
	145	+ "status": "actif"
	146	+ },
	147	+ {
	148	+ "id": "autosthubert",
	149	+ "name": "Auto St-Hubert",
	150	+ "url": "https://www.autosthubert.com",
	151	+ "listing_url": "https://www.autosthubert.com/occasion/recherche.html",
	152	+ "city": "Saint-Hubert",
	153	+ "region": "Montérégie",
	154	+ "platform": "D2C Media",
	155	+ "connector": "d2c_dealers",
	156	+ "status": "actif"
	157	+ },
	158	+ {
	159	+ "id": "autoflash",
	160	+ "name": "AutoFlash",
	161	+ "url": "https://www.autoflash.net",
	162	+ "listing_url": "https://www.autoflash.net/occasion/recherche.html",
	163	+ "city": "Saint-Hubert",
	164	+ "region": "Montérégie",
	165	+ "platform": "WordPress Convertus VMS (Cloudflare, via Firecrawl)",
	166	+ "connector": "convertus_fc",
	167	+ "status": "actif"
	168	+ },
	169	+ {
	170	+ "id": "bernieresauto",
	171	+ "name": "Bernières Auto",
	172	+ "url": "https://www.bernieresauto.com",
	173	+ "listing_url": "https://www.bernieresauto.com/occasion/recherche.html",
	174	+ "city": "Saint-Nicolas",
	175	+ "region": "Chaudière-Appalaches",
	176	+ "platform": "WordPress Convertus VMS (Cloudflare, via Firecrawl)",
	177	+ "connector": "convertus_fc",
	178	+ "status": "actif"
	179	+ },
	180	+ {
	181	+ "id": "complexeautoplus",
	182	+ "name": "Complexe Auto Plus",
	183	+ "url": "https://www.complexeautoplus.com",
	184	+ "listing_url": "https://www.complexeautoplus.com/occasion/recherche.html",
	185	+ "city": "Saint-Jérôme",
	186	+ "region": "Laurentides",
	187	+ "platform": "WordPress Convertus VMS (Cloudflare, via Firecrawl)",
	188	+ "connector": "convertus_fc",
	189	+ "status": "actif"
	190	+ },
	191	+ {
	192	+ "id": "denisauto",
	193	+ "name": "Denis Auto",
	194	+ "url": "https://www.denisauto.ca",
	195	+ "listing_url": "https://www.denisauto.ca/inventaire/",
	196	+ "city": "Gatineau",
	197	+ "region": "Outaouais",
	198	+ "platform": "AMVOQ Focus 360 (theme_central)",
	199	+ "connector": "central_dealers",
	200	+ "status": "actif"
	201	+ },
	202	+ {
	203	+ "id": "jrautotr",
	204	+ "name": "J.R. Auto",
	205	+ "url": "https://www.jrautotr.com",
	206	+ "listing_url": "https://www.jrautotr.com/inventaire/",
	207	+ "city": "Trois-Rivières",
	208	+ "region": "Mauricie",
	209	+ "platform": "AMVOQ Focus 360 (theme_central)",
	210	+ "connector": "central_dealers",
	211	+ "status": "actif"
	212	+ },
	213	+ {
	214	+ "id": "autosag",
	215	+ "name": "Autosag",
	216	+ "url": "https://www.autosag.com",
	217	+ "listing_url": "https://www.autosag.com/inventaire/",
	218	+ "city": "Chicoutimi",
	219	+ "region": "Saguenay-Lac-Saint-Jean",
	220	+ "platform": "AMVOQ Focus 360 (theme_central)",
	221	+ "connector": "central_dealers",
	222	+ "status": "actif"
	223	+ },
	224	+ {
	225	+ "id": "lecentreautoquebec",
	226	+ "name": "Le Centre Auto Québec Plus",
	227	+ "url": "https://www.lecentreautoquebec.com",
	228	+ "listing_url": "https://www.lecentreautoquebec.com/inventaire/",
	229	+ "city": "Québec",
	230	+ "region": "Capitale-Nationale",
	231	+ "platform": "AMVOQ Focus 360 (theme_central)",
	232	+ "connector": "central_dealers",
	233	+ "status": "actif"
	234	+ },
	235	+ {
	236	+ "id": "autocreditplus",
	237	+ "name": "Auto Crédit Plus",
	238	+ "url": "https://www.autocreditplus.ca",
	239	+ "listing_url": "https://www.autocreditplus.ca/inventaire/",
	240	+ "city": "Trois-Rivières",
	241	+ "region": "Mauricie",
	242	+ "platform": "AMVOQ Focus 360 (theme_central)",
	243	+ "connector": "central_dealers",
	244	+ "status": "actif"
	245	+ },
	246	+ {
	247	+ "id": "hgregoire",
	248	+ "name": "HGrégoire",
	249	+ "url": "https://www.hgregoire.com",
	250	+ "listing_url": "https://www.hgregoire.com/auto-usage",
	251	+ "city": "St-Léonard",
	252	+ "region": "Montréal",
	253	+ "platform": "Site custom (WordPress HG)",
	254	+ "connector": "hgregoire",
	255	+ "status": "actif"
	256	+ },
	257	+ {
	258	+ "id": "automobileendirect",
	259	+ "name": "Automobile En Direct",
	260	+ "url": "https://www.automobileendirect.com",
	261	+ "listing_url": "https://www.automobileendirect.com/auto-usage",
	262	+ "city": "Saint-Constant",
	263	+ "region": "Montérégie",
	264	+ "platform": "Site custom (SPA React + API REST)",
	265	+ "connector": "automobileendirect",
	266	+ "status": "actif"
	267	+ },
	268	+ {
	269	+ "id": "occasionbeaucage",
	270	+ "name": "Occasion Beaucage",
	271	+ "url": "https://www.occasionbeaucage.com",
	272	+ "listing_url": "https://www.occasionbeaucage.com/auto-usage/",
	273	+ "city": "Sherbrooke",
	274	+ "region": "Estrie",
	275	+ "platform": "Next.js Autoroot / EvalAuto (multi-succursales : Sherbrooke, Magog, Granby, Drummondville, Victoriaville, Saint-Hyacinthe, Cowansville — ville par véhicule)",
	276	+ "connector": "occasionbeaucage",
	277	+ "status": "actif"
	278	+ },
	279	+ {
	280	+ "id": "megacentredeliquidation",
	281	+ "name": "Méga Centre de liquidation",
	282	+ "url": "https://www.megacentredeliquidation.com",
	283	+ "listing_url": "https://www.megacentredeliquidation.com/auto-usage/",
	284	+ "city": "Mont-Joli",
	285	+ "region": "Bas-Saint-Laurent",
	286	+ "platform": "Gatsby / EvalAuto (Groupe Laplante — Québec, Trois-Rivières, Rimouski, Matane, Mont-Joli, Amqui, Lanaudière — ville par véhicule)",
	287	+ "connector": "megacentre",
	288	+ "status": "actif"
	289	+ },
	290	+ {
	291	+ "id": "leprixdugros",
	292	+ "name": "Le Prix du Gros",
	293	+ "url": "https://www.leprixdugros.com",
	294	+ "listing_url": "https://www.leprixdugros.com/inventaire/occasion/",
	295	+ "city": "Trois-Rivières",
	296	+ "region": "Mauricie",
	297	+ "platform": "WordPress Stereodev (JSON paginé ?output=json — groupe Kia/Nissan/Hyundai/Mazda : Trois-Rivières, Shawinigan, Donnacona, Lévis, Québec, Laval, Sherbrooke, Joliette — ville par véhicule via page détail)",
	298	+ "connector": "leprixdugros",
	299	+ "status": "actif"
	300	+ },
	301	+ {
	302	+ "id": "autoglobalmtl",
	303	+ "name": "Auto Global MTL",
	304	+ "url": "https://www.autoglobalmtl.com",
	305	+ "listing_url": "https://www.autoglobalmtl.com/fr/occasion",
	306	+ "city": "Montréal",
	307	+ "region": "Montréal",
	308	+ "platform": "ADWS (adws.ca — Next.js, API JSON /api/inventory)",
	309	+ "connector": "vvu_dealers",
	310	+ "status": "actif"
	311	+ },
	312	+ {
	313	+ "id": "groupeautomobile",
	314	+ "name": "Le Groupe Automobile Laval",
	315	+ "url": "https://www.groupeautomobile.com",
	316	+ "listing_url": "https://www.groupeautomobile.com/fr/occasion",
	317	+ "city": "Laval",
	318	+ "region": "Laval",
	319	+ "platform": "ADWS (adws.ca — Next.js, API JSON /api/inventory)",
	320	+ "connector": "vvu_dealers",
	321	+ "status": "actif"
	322	+ },
	323	+ {
	324	+ "id": "summumauto",
	325	+ "name": "Summum Auto",
	326	+ "url": "https://www.summumauto.com",
	327	+ "listing_url": "https://www.summumauto.com/fr/occasion",
	328	+ "city": "Laval",
	329	+ "region": "Laval",
	330	+ "platform": "ADWS (adws.ca — Next.js, API JSON /api/inventory)",
	331	+ "connector": "vvu_dealers",
	332	+ "status": "actif"
	333	+ },
	334	+ {
	335	+ "id": "occasionvilledequebec",
	336	+ "name": "Comme1Neuf",
	337	+ "url": "https://www.comme1neuf.com",
	338	+ "listing_url": "https://www.comme1neuf.com/fr/occasion",
	339	+ "city": "Château-Richer",
	340	+ "region": "Capitale-Nationale",
	341	+ "platform": "ADWS (adws.ca — Next.js, API JSON /api/inventory ; occasionvilledequebec.com redirige 301 vers comme1neuf.com)",
	342	+ "connector": "vvu_dealers",
	343	+ "status": "actif"
	344	+ },
	345	+ {
	346	+ "id": "jlkauto",
	347	+ "name": "JLK Auto",
	348	+ "url": "https://www.jlkauto.ca",
	349	+ "listing_url": "https://www.jlkauto.ca/inventaire/?condition=USED",
	350	+ "city": "Montréal",
	351	+ "region": "Montréal",
	352	+ "platform": "EDealer (sitemap Yoast inventory-listing + JSON-LD [Product, Car] sur pages détail)",
	353	+ "connector": "jlkauto",
	354	+ "status": "actif"
	355	+ },
	356	+ {
	357	+ "id": "clubautozone",
	358	+ "name": "Club Auto Zone",
	359	+ "url": "https://www.clubautozone.ca",
	360	+ "listing_url": "https://www.clubautozone.ca/vehicles/used/",
	361	+ "city": "Longueuil",
	362	+ "region": "Montérégie",
	363	+ "platform": "WordPress Convertus (thème achilles — API VMS vms.prod.convertus.rocks via proxy ajax-vehicles.php, cp=2292)",
	364	+ "connector": "clubautozone",
	365	+ "status": "actif"
	366	+ },
	367	+ {
	368	+ "id": "ototroisrivieres",
	369	+ "name": "OTO Trois-Rivières",
	370	+ "url": "https://ototroisrivieres.com",
	371	+ "listing_url": "https://ototroisrivieres.com/inventaire/",
	372	+ "city": "Trois-Rivières",
	373	+ "region": "Mauricie",
	374	+ "platform": "WordPress thème Motors/STM (sitemap wp-sitemap-posts-listings + parsing HTML pages détail)",
	375	+ "connector": "ototr",
	376	+ "status": "actif"
	377	+ },
	378	+ {
	379	+ "id": "okaze",
	380	+ "name": "OKAZE",
	381	+ "url": "https://www.okaze.ca",
	382	+ "listing_url": "https://www.okaze.ca/inventaire",
	383	+ "city": "Saguenay",
	384	+ "region": "Saguenay–Lac-Saint-Jean",
	385	+ "platform": "Webflow CMS (cartes /inventaire rendues serveur avec attributs data-search complets)",
	386	+ "connector": "okaze",
	387	+ "status": "actif"
	388	+ },
	389	+ {
	390	+ "id": "automobilesyannicklaberge",
	391	+ "name": "Automobiles Yannick Laberge",
	392	+ "url": "https://www.automobilesyannicklaberge.com",
	393	+ "listing_url": "https://www.automobilesyannicklaberge.com/inventaire/",
	394	+ "city": "Beauport",
	395	+ "region": "Capitale-Nationale",
	396	+ "platform": "WordPress AMVOQ theme_central (sitemap Yoast vehicules-sitemap + JSON-LD Vehicle sur pages détail ; REST verrouillé)",
	397	+ "connector": "yannicklaberge",
	398	+ "status": "actif"
	399	+ },
	400	+ {
	401	+ "id": "sherbrookeautooccasion",
	402	+ "name": "Sherbrooke Auto Occasion",
	403	+ "url": "https://www.sherbrookeautooccasion.com",
	404	+ "listing_url": "https://www.sherbrookeautooccasion.com/occasion/recherche.html",
	405	+ "city": "Sherbrooke",
	406	+ "region": "Estrie",
	407	+ "platform": "D2C Media",
	408	+ "connector": "d2c_dealers",
	409	+ "status": "actif"
	410	+ },
	411	+ {
	412	+ "id": "autodesjardins",
	413	+ "name": "Automobiles Desjardins",
	414	+ "url": "https://www.autodesjardins.com",
	415	+ "listing_url": "https://www.autodesjardins.com/fr/inventaire-occasion",
	416	+ "city": "Québec",
	417	+ "region": "Capitale-Nationale",
	418	+ "platform": "sm360",
	419	+ "connector": "sm360_dealers",
	420	+ "status": "actif"
	421	+ },
	422	+ {
	423	+ "id": "berniercrepeau",
	424	+ "name": "Bernier Crépeau",
	425	+ "url": "https://www.berniercrepeau.com",
	426	+ "listing_url": "https://www.berniercrepeau.com/occasion/recherche.html",
	427	+ "city": "Trois-Rivières",
	428	+ "region": "Mauricie",
	429	+ "platform": "D2C Media",
	430	+ "connector": "d2c_dealers",
	431	+ "status": "actif"
	432	+ },
	433	+ {
	434	+ "id": "chomedeytoyota",
	435	+ "name": "Chomedey Toyota Laval",
	436	+ "url": "https://www.chomedeytoyotalaval.ca",
	437	+ "listing_url": "https://www.chomedeytoyotalaval.ca/occasion/recherche.html",
	438	+ "city": "Laval",
	439	+ "region": "Laval",
	440	+ "platform": "D2C Media",
	441	+ "connector": "d2c_dealers",
	442	+ "status": "actif"
	443	+ },
	444	+ {
	445	+ "id": "drummondvilleford",
	446	+ "name": "Drummondville Ford",
	447	+ "url": "https://www.drummondvilleford.com",
	448	+ "listing_url": "https://www.drummondvilleford.com/occasion/recherche.html",
	449	+ "city": "Drummondville",
	450	+ "region": "Centre-du-Québec",
	451	+ "platform": "D2C Media",
	452	+ "connector": "d2c_dealers",
	453	+ "status": "actif"
	454	+ },
	455	+ {
	456	+ "id": "drummondvillevw",
	457	+ "name": "Drummondville Volkswagen",
	458	+ "url": "https://www.drummondvillevolkswagen.ca",
	459	+ "listing_url": "https://www.drummondvillevolkswagen.ca/occasion/recherche.html",
	460	+ "city": "Drummondville",
	461	+ "region": "Centre-du-Québec",
	462	+ "platform": "D2C Media",
	463	+ "connector": "d2c_dealers",
	464	+ "status": "actif"
	465	+ },
	466	+ {
	467	+ "id": "dubechrysler",
	468	+ "name": "Dubé Chrysler",
	469	+ "url": "https://www.dubechrysler.com",
	470	+ "listing_url": "https://www.dubechrysler.com/occasion/recherche.html",
	471	+ "city": "Rivière-du-Loup",
	472	+ "region": "Bas-Saint-Laurent",
	473	+ "platform": "D2C Media",
	474	+ "connector": "d2c_dealers",
	475	+ "status": "actif"
	476	+ },
	477	+ {
	478	+ "id": "ducloslongueuil",
	479	+ "name": "Duclos Longueuil Chrysler",
	480	+ "url": "https://www.ducloschryslerlongueuil.com",
	481	+ "listing_url": "https://www.ducloschryslerlongueuil.com/occasion/recherche.html",
	482	+ "city": "Longueuil",
	483	+ "region": "Montérégie",
	484	+ "platform": "D2C Media",
	485	+ "connector": "d2c_dealers",
	486	+ "status": "actif"
	487	+ },
	488	+ {
	489	+ "id": "dynastiehyundai",
	490	+ "name": "Dynastie Hyundai",
	491	+ "url": "https://www.dynastiehyundai.com",
	492	+ "listing_url": "https://www.dynastiehyundai.com/occasion/recherche.html",
	493	+ "city": "Rouyn-Noranda",
	494	+ "region": "Abitibi-Témiscamingue",
	495	+ "platform": "D2C Media",
	496	+ "connector": "d2c_dealers",
	497	+ "status": "actif"
	498	+ },
	499	+ {
	500	+ "id": "fichaultkia",
	501	+ "name": "Fichault Kia",
	502	+ "url": "https://www.fichaultkia.com",
	503	+ "listing_url": "https://www.fichaultkia.com/occasion/recherche.html",
	504	+ "city": "Châteauguay",
	505	+ "region": "Montérégie",
	506	+ "platform": "D2C Media",
	507	+ "connector": "d2c_dealers",
	508	+ "status": "actif"
	509	+ },
	510	+ {
	511	+ "id": "fleuryautogroupe",
	512	+ "name": "Fleury Auto Groupe",
	513	+ "url": "https://www.fleuryautogroupe.com",
	514	+ "listing_url": "https://www.fleuryautogroupe.com/inventaire/",
	515	+ "city": "Gatineau",
	516	+ "region": "Outaouais",
	517	+ "platform": "AMVOQ Focus 360 (theme_central)",
	518	+ "connector": "central_dealers",
	519	+ "status": "actif"
	520	+ },
	521	+ {
	522	+ "id": "fordthetford",
	523	+ "name": "Ford Thetford",
	524	+ "url": "https://www.fordthetford.com",
	525	+ "listing_url": "https://www.fordthetford.com/occasion/recherche.html",
	526	+ "city": "Thetford Mines",
	527	+ "region": "Chaudière-Appalaches",
	528	+ "platform": "D2C Media",
	529	+ "connector": "d2c_dealers",
	530	+ "status": "actif"
	531	+ },
	532	+ {
	533	+ "id": "gaspesiehyundai",
	534	+ "name": "Gaspésie Hyundai",
	535	+ "url": "https://www.gaspesiehyundai.com",
	536	+ "listing_url": "https://www.gaspesiehyundai.com/occasion/recherche.html",
	537	+ "city": "Bonaventure",
	538	+ "region": "Gaspésie–Îles-de-la-Madeleine",
	539	+ "platform": "D2C Media",
	540	+ "connector": "d2c_dealers",
	541	+ "status": "actif"
	542	+ },
	543	+ {
	544	+ "id": "gaspetoyota",
	545	+ "name": "Gaspé Toyota",
	546	+ "url": "https://www.gaspe-toyota.com",
	547	+ "listing_url": "https://www.gaspe-toyota.com/occasion/recherche.html",
	548	+ "city": "Gaspé",
	549	+ "region": "Gaspésie–Îles-de-la-Madeleine",
	550	+ "platform": "D2C Media",
	551	+ "connector": "d2c_dealers",
	552	+ "status": "actif"
	553	+ },
	554	+ {
	555	+ "id": "granbytoyota",
	556	+ "name": "Granby Toyota",
	557	+ "url": "https://www.granbytoyota.ca",
	558	+ "listing_url": "https://www.granbytoyota.ca/occasion/recherche.html",
	559	+ "city": "Granby",
	560	+ "region": "Montérégie",
	561	+ "platform": "D2C Media",
	562	+ "connector": "d2c_dealers",
	563	+ "status": "actif"
	564	+ },
	565	+ {
	566	+ "id": "grandportage",
	567	+ "name": "Groupe Grand-Portage",
	568	+ "url": "https://www.grandportageauto.com",
	569	+ "listing_url": "https://www.grandportageauto.com/occasion/recherche.html",
	570	+ "city": "Rivière-du-Loup",
	571	+ "region": "Bas-Saint-Laurent",
	572	+ "platform": "D2C Media",
	573	+ "connector": "d2c_dealers",
	574	+ "status": "actif"
	575	+ },
	576	+ {
	577	+ "id": "groupemotion",
	578	+ "name": "Groupe Motion",
	579	+ "url": "https://www.groupemotion.com",
	580	+ "listing_url": "https://www.groupemotion.com/occasion/recherche.html",
	581	+ "city": "Longueuil",
	582	+ "region": "Montérégie",
	583	+ "platform": "D2C Media",
	584	+ "connector": "d2c_dealers",
	585	+ "status": "actif"
	586	+ },
	587	+ {
	588	+ "id": "groupepaquin",
	589	+ "name": "Groupe Paquin",
	590	+ "url": "https://www.groupepaquin.com",
	591	+ "listing_url": "https://www.groupepaquin.com/occasion/recherche.html",
	592	+ "city": "Rouyn-Noranda",
	593	+ "region": "Abitibi-Témiscamingue",
	594	+ "platform": "D2C Media",
	595	+ "connector": "d2c_dealers",
	596	+ "status": "actif"
	597	+ },
	598	+ {
	599	+ "id": "hullhyundai",
	600	+ "name": "Hull Hyundai",
	601	+ "url": "https://www.hullhyundai.com",
	602	+ "listing_url": "https://www.hullhyundai.com/occasion/recherche.html",
	603	+ "city": "Gatineau",
	604	+ "region": "Outaouais",
	605	+ "platform": "D2C Media",
	606	+ "connector": "d2c_dealers",
	607	+ "status": "actif"
	608	+ },
	609	+ {
	610	+ "id": "hyundaibeauce",
	611	+ "name": "Hyundai Beauce",
	612	+ "url": "https://www.hyundaibeauce.com",
	613	+ "listing_url": "https://www.hyundaibeauce.com/occasion/recherche.html",
	614	+ "city": "Saint-Georges",
	615	+ "region": "Chaudière-Appalaches",
	616	+ "platform": "D2C Media",
	617	+ "connector": "d2c_dealers",
	618	+ "status": "actif"
	619	+ },
	620	+ {
	621	+ "id": "hyundaidrummondville",
	622	+ "name": "Hyundai Drummondville",
	623	+ "url": "https://www.hyundaidrummondville.com",
	624	+ "listing_url": "https://www.hyundaidrummondville.com/occasion/recherche.html",
	625	+ "city": "Drummondville",
	626	+ "region": "Centre-du-Québec",
	627	+ "platform": "D2C Media",
	628	+ "connector": "d2c_dealers",
	629	+ "status": "actif"
	630	+ },
	631	+ {
	632	+ "id": "hyundailanaudiere",
	633	+ "name": "Hyundai Lanaudière",
	634	+ "url": "https://www.hyundailanaudiere.com",
	635	+ "listing_url": "https://www.hyundailanaudiere.com/occasion/recherche.html",
	636	+ "city": "Joliette",
	637	+ "region": "Lanaudière",
	638	+ "platform": "D2C Media",
	639	+ "connector": "d2c_dealers",
	640	+ "status": "actif"
	641	+ },
	642	+ {
	643	+ "id": "hyundailongueuil",
	644	+ "name": "Hyundai Longueuil",
	645	+ "url": "https://www.hyundailongueuil.com",
	646	+ "listing_url": "https://www.hyundailongueuil.com/occasion/recherche.html",
	647	+ "city": "Longueuil",
	648	+ "region": "Montérégie",
	649	+ "platform": "D2C Media",
	650	+ "connector": "d2c_dealers",
	651	+ "status": "actif"
	652	+ },
	653	+ {
	654	+ "id": "hyundaistjerome",
	655	+ "name": "Hyundai St-Jérôme",
	656	+ "url": "https://www.hyundaistjerome.com",
	657	+ "listing_url": "https://www.hyundaistjerome.com/occasion/recherche.html",
	658	+ "city": "Mirabel",
	659	+ "region": "Laurentides",
	660	+ "platform": "D2C Media",
	661	+ "connector": "d2c_dealers",
	662	+ "status": "actif"
	663	+ },
	664	+ {
	665	+ "id": "jeandumas",
	666	+ "name": "Jean Dumas Multiconcessionnaire",
	667	+ "url": "https://www.jeandumas.com",
	668	+ "listing_url": "https://www.jeandumas.com/occasion/recherche.html",
	669	+ "city": "Alma",
	670	+ "region": "Saguenay–Lac-Saint-Jean",
	671	+ "platform": "D2C Media",
	672	+ "connector": "d2c_dealers",
	673	+ "status": "actif"
	674	+ },
	675	+ {
	676	+ "id": "jeandumasfordbc",
	677	+ "name": "Jean Dumas Ford Baie-Comeau",
	678	+ "url": "https://www.jeandumasfordbaiecomeau.com",
	679	+ "listing_url": "https://www.jeandumasfordbaiecomeau.com/occasion/recherche.html",
	680	+ "city": "Baie-Comeau",
	681	+ "region": "Côte-Nord",
	682	+ "platform": "D2C Media",
	683	+ "connector": "d2c_dealers",
	684	+ "status": "actif"
	685	+ },
	686	+ {
	687	+ "id": "jeandumashondabc",
	688	+ "name": "Jean Dumas Honda Baie-Comeau",
	689	+ "url": "https://www.jeandumashondabaiecomeau.com",
	690	+ "listing_url": "https://www.jeandumashondabaiecomeau.com/occasion/recherche.html",
	691	+ "city": "Baie-Comeau",
	692	+ "region": "Côte-Nord",
	693	+ "platform": "D2C Media",
	694	+ "connector": "d2c_dealers",
	695	+ "status": "actif"
	696	+ },
	697	+ {
	698	+ "id": "joliettemitsubishi",
	699	+ "name": "Joliette Mitsubishi",
	700	+ "url": "https://www.joliettemitsubishi.com",
	701	+ "listing_url": "https://www.joliettemitsubishi.com/occasion/recherche.html",
	702	+ "city": "Joliette",
	703	+ "region": "Lanaudière",
	704	+ "platform": "D2C Media",
	705	+ "connector": "d2c_dealers",
	706	+ "status": "actif"
	707	+ },
	708	+ {
	709	+ "id": "kiajoliette",
	710	+ "name": "Kia Joliette",
	711	+ "url": "https://www.kiajoliette.com",
	712	+ "listing_url": "https://www.kiajoliette.com/occasion/recherche.html",
	713	+ "city": "Joliette",
	714	+ "region": "Lanaudière",
	715	+ "platform": "D2C Media",
	716	+ "connector": "d2c_dealers",
	717	+ "status": "actif"
	718	+ },
	719	+ {
	720	+ "id": "lallierhondahull",
	721	+ "name": "Lallier Honda Hull",
	722	+ "url": "https://www.lallierhondahull.com",
	723	+ "listing_url": "https://www.lallierhondahull.com/fr/inventaire-occasion",
	724	+ "city": "Gatineau",
	725	+ "region": "Outaouais",
	726	+ "platform": "sm360",
	727	+ "connector": "sm360_dealers",
	728	+ "status": "actif"
	729	+ },
	730	+ {
	731	+ "id": "lamihonda",
	732	+ "name": "L'Ami Honda",
	733	+ "url": "https://www.lamihonda.com",
	734	+ "listing_url": "https://www.lamihonda.com/occasion/recherche.html",
	735	+ "city": "Rouyn-Noranda",
	736	+ "region": "Abitibi-Témiscamingue",
	737	+ "platform": "D2C Media",
	738	+ "connector": "d2c_dealers",
	739	+ "status": "actif"
	740	+ },
	741	+ {
	742	+ "id": "lamontagneauto",
	743	+ "name": "Lamontagne Auto",
	744	+ "url": "https://www.lamontagneauto.com",
	745	+ "listing_url": "https://www.lamontagneauto.com/fr/inventaire-occasion",
	746	+ "city": "Rimouski",
	747	+ "region": "Bas-Saint-Laurent",
	748	+ "platform": "sm360",
	749	+ "connector": "sm360_dealers",
	750	+ "status": "actif"
	751	+ },
	752	+ {
	753	+ "id": "leoautomobile",
	754	+ "name": "Léo Automobile",
	755	+ "url": "https://www.leoautomobile.com",
	756	+ "listing_url": "https://www.leoautomobile.com/occasion/recherche.html",
	757	+ "city": "Chicoutimi",
	758	+ "region": "Saguenay–Lac-Saint-Jean",
	759	+ "platform": "D2C Media",
	760	+ "connector": "d2c_dealers",
	761	+ "status": "actif"
	762	+ },
	763	+ {
	764	+ "id": "levistoyota",
	765	+ "name": "Lévis Toyota",
	766	+ "url": "https://www.levistoyota.ca",
	767	+ "listing_url": "https://www.levistoyota.ca/occasion/recherche.html",
	768	+ "city": "Lévis",
	769	+ "region": "Chaudière-Appalaches",
	770	+ "platform": "D2C Media",
	771	+ "connector": "d2c_dealers",
	772	+ "status": "actif"
	773	+ },
	774	+ {
	775	+ "id": "longueuilhonda",
	776	+ "name": "Longueuil Honda",
	777	+ "url": "https://www.longueuilhonda.com",
	778	+ "listing_url": "https://www.longueuilhonda.com/occasion/recherche.html",
	779	+ "city": "Longueuil",
	780	+ "region": "Montérégie",
	781	+ "platform": "D2C Media",
	782	+ "connector": "d2c_dealers",
	783	+ "status": "actif"
	784	+ },
	785	+ {
	786	+ "id": "olivierchryslerbc",
	787	+ "name": "Olivier Chrysler Baie-Comeau",
	788	+ "url": "https://www.olivierchryslerbaiecomeau.com",
	789	+ "listing_url": "https://www.olivierchryslerbaiecomeau.com/occasion/recherche.html",
	790	+ "city": "Baie-Comeau",
	791	+ "region": "Côte-Nord",
	792	+ "platform": "D2C Media",
	793	+ "connector": "d2c_dealers",
	794	+ "status": "actif"
	795	+ },
	796	+ {
	797	+ "id": "rivesudchrysler",
	798	+ "name": "Rive-Sud Chrysler",
	799	+ "url": "https://www.rivesudchrysler.com",
	800	+ "listing_url": "https://www.rivesudchrysler.com/fr/inventaire-occasion",
	801	+ "city": "Brossard",
	802	+ "region": "Montérégie",
	803	+ "platform": "sm360",
	804	+ "connector": "sm360_dealers",
	805	+ "status": "actif"
	806	+ },
	807	+ {
	808	+ "id": "spinelli",
	809	+ "name": "Groupe Spinelli",
	810	+ "url": "https://www.spinelli.com",
	811	+ "listing_url": "https://www.spinelli.com/fr/inventaire-occasion",
	812	+ "city": "Montréal",
	813	+ "region": "Montréal",
	814	+ "platform": "sm360",
	815	+ "connector": "sm360_dealers",
	816	+ "status": "actif"
	817	+ },
	818	+ {
	819	+ "id": "stgeorgesgm",
	820	+ "name": "St-Georges Chevrolet Buick GMC",
	821	+ "url": "https://www.stgeorgesgm.ca",
	822	+ "listing_url": "https://www.stgeorgesgm.ca/occasion/recherche.html",
	823	+ "city": "Saint-Georges",
	824	+ "region": "Chaudière-Appalaches",
	825	+ "platform": "D2C Media",
	826	+ "connector": "d2c_dealers",
	827	+ "status": "actif"
	828	+ },
	829	+ {
	830	+ "id": "stjeromeautodepot",
	831	+ "name": "St-Jérôme Auto Dépôt",
	832	+ "url": "https://www.stjeromeautodepot.com",
	833	+ "listing_url": "https://www.stjeromeautodepot.com/fr/inventaire-occasion",
	834	+ "city": "Saint-Jérôme",
	835	+ "region": "Laurentides",
	836	+ "platform": "sm360",
	837	+ "connector": "sm360_dealers",
	838	+ "status": "actif"
	839	+ },
	840	+ {
	841	+ "id": "stjeromemitsubishi",
	842	+ "name": "St-Jérôme Mitsubishi",
	843	+ "url": "https://www.stjeromemitsubishi.ca",
	844	+ "listing_url": "https://www.stjeromemitsubishi.ca/occasion/recherche.html",
	845	+ "city": "Saint-Jérôme",
	846	+ "region": "Laurentides",
	847	+ "platform": "D2C Media",
	848	+ "connector": "d2c_dealers",
	849	+ "status": "actif"
	850	+ },
	851	+ {
	852	+ "id": "subaruvictoriaville",
	853	+ "name": "Subaru Victoriaville",
	854	+ "url": "https://www.subaruvictoriaville.ca",
	855	+ "listing_url": "https://www.subaruvictoriaville.ca/occasion/recherche.html",
	856	+ "city": "Victoriaville",
	857	+ "region": "Centre-du-Québec",
	858	+ "platform": "D2C Media",
	859	+ "connector": "d2c_dealers",
	860	+ "status": "actif"
	861	+ },
	862	+ {
	863	+ "id": "touteslesmarques",
	864	+ "name": "Toutes les marques",
	865	+ "url": "https://www.touteslesmarques.ca",
	866	+ "listing_url": "https://www.touteslesmarques.ca/fr/inventaire-occasion",
	867	+ "city": "Chicoutimi",
	868	+ "region": "Saguenay–Lac-Saint-Jean",
	869	+ "platform": "sm360",
	870	+ "connector": "sm360_dealers",
	871	+ "status": "actif"
	872	+ },
	873	+ {
	874	+ "id": "toyotabdc",
	875	+ "name": "Toyota Baie des Chaleurs",
	876	+ "url": "https://www.toyotabaiedeschaleurs.com",
	877	+ "listing_url": "https://www.toyotabaiedeschaleurs.com/occasion/recherche.html",
	878	+ "city": "Caplan",
	879	+ "region": "Gaspésie–Îles-de-la-Madeleine",
	880	+ "platform": "D2C Media",
	881	+ "connector": "d2c_dealers",
	882	+ "status": "actif"
	883	+ },
	884	+ {
	885	+ "id": "toyotagatineau",
	886	+ "name": "Toyota Gatineau",
	887	+ "url": "https://www.toyotagatineau.ca",
	888	+ "listing_url": "https://www.toyotagatineau.ca/fr/inventaire-occasion",
	889	+ "city": "Gatineau",
	890	+ "region": "Outaouais",
	891	+ "platform": "sm360",
	892	+ "connector": "sm360_dealers",
	893	+ "status": "actif"
	894	+ },
	895	+ {
	896	+ "id": "troisriviereshonda",
	897	+ "name": "Trois-Rivières Honda",
	898	+ "url": "https://www.troisriviereshonda.com",
	899	+ "listing_url": "https://www.troisriviereshonda.com/occasion/recherche.html",
	900	+ "city": "Trois-Rivières",
	901	+ "region": "Mauricie",
	902	+ "platform": "D2C Media",
	903	+ "connector": "d2c_dealers",
	904	+ "status": "actif"
	905	+ },
	906	+ {
	907	+ "id": "trtoyota",
	908	+ "name": "Trois-Rivières Toyota",
	909	+ "url": "https://www.trtoyota.ca",
	910	+ "listing_url": "https://www.trtoyota.ca/occasion/recherche.html",
	911	+ "city": "Trois-Rivières",
	912	+ "region": "Mauricie",
	913	+ "platform": "D2C Media",
	914	+ "connector": "d2c_dealers",
	915	+ "status": "actif"
	916	+ },
	917	+ {
	918	+ "id": "vaudreuilvw",
	919	+ "name": "Vaudreuil Volkswagen",
	920	+ "url": "https://www.vaudreuilvolkswagen.com",
	921	+ "listing_url": "https://www.vaudreuilvolkswagen.com/occasion/recherche.html",
	922	+ "city": "Vaudreuil-Dorion",
	923	+ "region": "Montérégie",
	924	+ "platform": "D2C Media",
	925	+ "connector": "d2c_dealers",
	926	+ "status": "actif"
	927	+ },
	928	+ {
	929	+ "id": "vwsherbrooke",
	930	+ "name": "VW Sherbrooke",
	931	+ "url": "https://www.vwsherbrooke.com",
	932	+ "listing_url": "https://www.vwsherbrooke.com/occasion/recherche.html",
	933	+ "city": "Sherbrooke",
	934	+ "region": "Estrie",
	935	+ "platform": "D2C Media",
	936	+ "connector": "d2c_dealers",
	937	+ "status": "actif"
	938	+ },
	939	+ {
	940	+ "id": "kiagranby",
	941	+ "name": "Kia de Granby",
	942	+ "url": "https://www.kiagranby.com",
	943	+ "listing_url": "https://www.kiagranby.com/auto-usage/",
	944	+ "city": "Granby",
	945	+ "region": "Montérégie",
	946	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	947	+ "connector": "gatsby_dealers",
	948	+ "status": "actif"
	949	+ },
	950	+ {
	951	+ "id": "kiadrummondville",
	952	+ "name": "Kia Drummondville",
	953	+ "url": "https://www.kiadrummondville.com",
	954	+ "listing_url": "https://www.kiadrummondville.com/auto-usage/",
	955	+ "city": "Drummondville",
	956	+ "region": "Centre-du-Québec",
	957	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	958	+ "connector": "gatsby_dealers",
	959	+ "status": "actif"
	960	+ },
	961	+ {
	962	+ "id": "mazdadesherbrooke",
	963	+ "name": "Mazda de Sherbrooke",
	964	+ "url": "https://www.mazdadesherbrooke.com",
	965	+ "listing_url": "https://www.mazdadesherbrooke.com/auto-usage/",
	966	+ "city": "Sherbrooke",
	967	+ "region": "Estrie",
	968	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	969	+ "connector": "gatsby_dealers",
	970	+ "status": "actif"
	971	+ },
	972	+ {
	973	+ "id": "mitsubishidrummondville",
	974	+ "name": "Mitsubishi Drummondville",
	975	+ "url": "https://www.mitsubishidrummondville.com",
	976	+ "listing_url": "https://www.mitsubishidrummondville.com/auto-usage/",
	977	+ "city": "Drummondville",
	978	+ "region": "Centre-du-Québec",
	979	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	980	+ "connector": "gatsby_dealers",
	981	+ "status": "actif"
	982	+ },
	983	+ {
	984	+ "id": "nissandrummondville",
	985	+ "name": "Nissan Drummondville",
	986	+ "url": "https://www.nissandrummondville.com",
	987	+ "listing_url": "https://www.nissandrummondville.com/auto-usage/",
	988	+ "city": "Drummondville",
	989	+ "region": "Centre-du-Québec",
	990	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	991	+ "connector": "gatsby_dealers",
	992	+ "status": "actif"
	993	+ },
	994	+ {
	995	+ "id": "nissanvictoriaville",
	996	+ "name": "Nissan de Victoriaville",
	997	+ "url": "https://www.nissanvictoriaville.com",
	998	+ "listing_url": "https://www.nissanvictoriaville.com/auto-usage/",
	999	+ "city": "Victoriaville",
	1000	+ "region": "Centre-du-Québec",
	1001	+ "platform": "Gatsby autoroot.io / EvalAuto (Groupe Beaucage — énumération via AppSync + page-data)",
	1002	+ "connector": "gatsby_dealers",
	1003	+ "status": "actif"
	1004	+ },
	1005	+ {
	1006	+ "id": "stefoychrysler",
	1007	+ "name": "Ste-Foy Chrysler",
	1008	+ "url": "https://www.ste-foychrysler.com",
	1009	+ "listing_url": "https://www.ste-foychrysler.com/auto-usage/",
	1010	+ "city": "Québec",
	1011	+ "region": "Capitale-Nationale",
	1012	+ "platform": "Next.js RSC autoroot.io / EvalAuto (pattern Occasion Beaucage — ~430 véhicules)",
	1013	+ "connector": "stefoychrysler",
	1014	+ "status": "actif"
	1015	+ },
	1016	+ {
	1017	+ "id": "baiecomeautoyota",
	1018	+ "name": "Baie-Comeau Toyota",
	1019	+ "url": "https://baiecomeautoyota.com",
	1020	+ "listing_url": "https://baiecomeautoyota.com/inventaire/occasion",
	1021	+ "city": "Baie-Comeau",
	1022	+ "region": "Côte-Nord",
	1023	+ "platform": "WordPress magnetis-dealer / SyncAuto (réseau Côte-Nord–Saguenay : Toyota/Chevrolet/Nissan Baie-Comeau, Arnold GM, Sept-Îles… — concession et ville par véhicule)",
	1024	+ "connector": "magnetis_dealers",
	1025	+ "status": "actif"
	1026	+ },
	1027	+ {
	1028	+ "id": "sherbrooketoyota",
	1029	+ "name": "Sherbrooke Toyota",
	1030	+ "url": "https://sherbrooketoyota.ca",
	1031	+ "listing_url": "https://sherbrooketoyota.ca/inventaire/occasion",
	1032	+ "city": "Sherbrooke",
	1033	+ "region": "Estrie",
	1034	+ "platform": "WordPress magnetis-dealer / SyncAuto",
	1035	+ "connector": "magnetis_dealers",
	1036	+ "status": "actif"
	1037	+ },
	1038	+ {
	1039	+ "id": "stgnissan",
	1040	+ "name": "St-Georges Nissan",
	1041	+ "url": "https://www.stgnissan.com",
	1042	+ "listing_url": "https://www.stgnissan.com/inventaire/occasion",
	1043	+ "city": "Saint-Georges",
	1044	+ "region": "Chaudière-Appalaches",
	1045	+ "platform": "WordPress magnetis-dealer / SyncAuto",
	1046	+ "connector": "magnetis_dealers",
	1047	+ "status": "actif"
	1048	+ },
	1049	+ {
	1050	+ "id": "lussierchevrolet",
	1051	+ "name": "Lussier Chevrolet Buick GMC",
	1052	+ "url": "https://www.lussierchevrolet.com",
	1053	+ "listing_url": "https://www.lussierchevrolet.com/inventaire/occasion",
	1054	+ "city": "Saint-Hyacinthe",
	1055	+ "region": "Montérégie",
	1056	+ "platform": "WordPress magnetis-dealer / SyncAuto (remplace autobasprixst-hyacinthe.com, qui redirige ici depuis la fusion Auto Bas Prix / Lussier)",
	1057	+ "connector": "magnetis_dealers",
	1058	+ "status": "actif"
	1059	+ },
	1060	+ {
	1061	+ "id": "albioccasion",
	1062	+ "name": "ALBI Occasion",
	1063	+ "url": "https://www.albioccasion.com",
	1064	+ "listing_url": "https://www.albioccasion.com/fr/inventaire/",
	1065	+ "city": "Mascouche",
	1066	+ "region": "Lanaudière",
	1067	+ "platform": "ASP.NET WebForms maison (ALBI le Géant — multi-succursales Mascouche/Repentigny/Blainville/Laval…, ~1 100 véhicules, succursale par véhicule ; microdata schema.org sur les pages détail)",
	1068	+ "connector": "albioccasion",
	1069	+ "status": "en pause (rate-limit 429 — connecteur prêt, à réactiver)"
	1070	+ },
	1071	+ {
	1072	+ "id": "desmeules",
	1073	+ "name": "Desmeules Chrysler",
	1074	+ "url": "https://www.desmeules.ca",
	1075	+ "listing_url": "https://www.desmeules.ca/fr/vehicules-doccasion/",
	1076	+ "city": "Laval",
	1077	+ "region": "Laval",
	1078	+ "platform": "ColdFusion maison + AutoJini (flux RSS inventaire complet + pages détail)",
	1079	+ "connector": "desmeules",
	1080	+ "status": "actif"
	1081	+ },
	1082	+ {
	1083	+ "id": "dupontdupontford",
	1084	+ "name": "Dupont & Dupont Ford",
	1085	+ "url": "https://dupontdupontford.com",
	1086	+ "listing_url": "https://dupontdupontford.com/recherche/",
	1087	+ "city": "Gatineau",
	1088	+ "region": "Outaouais",
	1089	+ "platform": "WordPress Leadbox lbx-egypt (export JSON statique /wp-content/uploads/data/inventory.json — 1 requête pour tout l'inventaire)",
	1090	+ "connector": "dupontford",
	1091	+ "status": "actif"
	1092	+ },
	1093	+ {
	1094	+ "id": "autodurocher",
	1095	+ "name": "Entrepôt Auto Durocher",
	1096	+ "url": "https://www.autodurocher.com",
	1097	+ "listing_url": "https://www.autodurocher.com/fr/inventaire-occasion/",
	1098	+ "city": "Mirabel",
	1099	+ "region": "Laurentides",
	1100	+ "platform": "WordPress Elementor + JetEngine (sitemaps vehicles-sitemapN.xml + JSON-LD fute-custom-schema-vehicles)",
	1101	+ "connector": "autodurocher",
	1102	+ "status": "actif"
	1103	+ },
	1104	+ {
	1105	+ "id": "dupontautomobile",
	1106	+ "name": "Dupont Automobile",
	1107	+ "url": "https://www.dupontautomobile.com",
	1108	+ "listing_url": "https://www.dupontautomobile.com/occasion/recherche.html",
	1109	+ "city": "Alma",
	1110	+ "region": "Saguenay–Lac-Saint-Jean",
	1111	+ "platform": "D2C Media",
	1112	+ "connector": "d2c_dealers",
	1113	+ "status": "actif"
	1114	+ },
	1115	+ {
	1116	+ "id": "almahonda",
	1117	+ "name": "Alma Honda",
	1118	+ "url": "https://www.almahonda.com",
	1119	+ "listing_url": "https://www.almahonda.com/occasion/recherche.html",
	1120	+ "city": "Alma",
	1121	+ "region": "Saguenay–Lac-Saint-Jean",
	1122	+ "platform": "D2C Media",
	1123	+ "connector": "d2c_dealers",
	1124	+ "status": "actif"
	1125	+ },
	1126	+ {
	1127	+ "id": "hondanewrichmond",
	1128	+ "name": "Honda New Richmond",
	1129	+ "url": "https://www.hondanewrichmond.com",
	1130	+ "listing_url": "https://www.hondanewrichmond.com/occasion/recherche.html",
	1131	+ "city": "New Richmond",
	1132	+ "region": "Gaspésie–Îles-de-la-Madeleine",
	1133	+ "platform": "D2C Media",
	1134	+ "connector": "d2c_dealers",
	1135	+ "status": "actif"
	1136	+ },
	1137	+ {
	1138	+ "id": "olivierhyundaibc",
	1139	+ "name": "Olivier Hyundai Baie-Comeau",
	1140	+ "url": "https://www.olivierhyundaibaiecomeau.com",
	1141	+ "listing_url": "https://www.olivierhyundaibaiecomeau.com/occasion/recherche.html",
	1142	+ "city": "Baie-Comeau",
	1143	+ "region": "Côte-Nord",
	1144	+ "platform": "D2C Media",
	1145	+ "connector": "d2c_dealers",
	1146	+ "status": "actif"
	1147	+ },
	1148	+ {
	1149	+ "id": "olivieroccasionseptiles",
	1150	+ "name": "Olivier Occasion Sept-Îles",
	1151	+ "url": "https://www.olivieroccasionseptiles.com",
	1152	+ "listing_url": "https://www.olivieroccasionseptiles.com/occasion/recherche.html",
	1153	+ "city": "Sept-Îles",
	1154	+ "region": "Côte-Nord",
	1155	+ "platform": "D2C Media (inventaire commun aux 4 sites Olivier de Sept-Îles : Ford/Nissan/Chrysler/Occasion — un seul connecté pour éviter les doublons)",
	1156	+ "connector": "d2c_dealers",
	1157	+ "status": "actif"
	1158	+ },
	1159	+ {
	1160	+ "id": "charlesbourgtoyota",
	1161	+ "name": "Charlesbourg Toyota",
	1162	+ "url": "https://www.charlesbourgtoyota.com",
	1163	+ "listing_url": "https://www.charlesbourgtoyota.com/occasion/recherche.html",
	1164	+ "city": "Québec",
	1165	+ "region": "Capitale-Nationale",
	1166	+ "platform": "D2C Media",
	1167	+ "connector": "d2c_dealers",
	1168	+ "status": "actif"
	1169	+ },
	1170	+ {
	1171	+ "id": "hondacharlesbourg",
	1172	+ "name": "Honda Charlesbourg",
	1173	+ "url": "https://www.hondacharlesbourg.com",
	1174	+ "listing_url": "https://www.hondacharlesbourg.com/occasion/recherche.html",
	1175	+ "city": "Québec",
	1176	+ "region": "Capitale-Nationale",
	1177	+ "platform": "D2C Media",
	1178	+ "connector": "d2c_dealers",
	1179	+ "status": "actif"
	1180	+ },
	1181	+ {
	1182	+ "id": "kiabeauport",
	1183	+ "name": "Kia Beauport",
	1184	+ "url": "https://www.kiabeauport.com",
	1185	+ "listing_url": "https://www.kiabeauport.com/occasion/recherche.html",
	1186	+ "city": "Québec",
	1187	+ "region": "Capitale-Nationale",
	1188	+ "platform": "D2C Media",
	1189	+ "connector": "d2c_dealers",
	1190	+ "status": "actif"
	1191	+ },
	1192	+ {
	1193	+ "id": "hondacharlevoix",
	1194	+ "name": "Honda Charlevoix",
	1195	+ "url": "https://www.hondacharlevoix.com",
	1196	+ "listing_url": "https://www.hondacharlevoix.com/occasion/recherche.html",
	1197	+ "city": "La Malbaie",
	1198	+ "region": "Capitale-Nationale",
	1199	+ "platform": "D2C Media",
	1200	+ "connector": "d2c_dealers",
	1201	+ "status": "actif"
	1202	+ },
	1203	+ {
	1204	+ "id": "hyundaicharlevoix",
	1205	+ "name": "Hyundai Charlevoix",
	1206	+ "url": "https://www.hyundaicharlevoix.com",
	1207	+ "listing_url": "https://www.hyundaicharlevoix.com/occasion/recherche.html",
	1208	+ "city": "Baie-Saint-Paul",
	1209	+ "region": "Capitale-Nationale",
	1210	+ "platform": "D2C Media",
	1211	+ "connector": "d2c_dealers",
	1212	+ "status": "actif"
	1213	+ },
	1214	+ {
	1215	+ "id": "charlevoixtoyota",
	1216	+ "name": "Charlevoix Toyota",
	1217	+ "url": "https://www.charlevoixtoyota.com",
	1218	+ "listing_url": "https://www.charlevoixtoyota.com/occasion/recherche.html",
	1219	+ "city": "La Malbaie",
	1220	+ "region": "Capitale-Nationale",
	1221	+ "platform": "D2C Media",
	1222	+ "connector": "d2c_dealers",
	1223	+ "status": "actif"
	1224	+ },
	1225	+ {
	1226	+ "id": "autovilleneuve",
	1227	+ "name": "Automobile Villeneuve Amqui",
	1228	+ "url": "https://www.autovilleneuve.com",
	1229	+ "listing_url": "https://www.autovilleneuve.com/occasion/recherche.html",
	1230	+ "city": "Amqui",
	1231	+ "region": "Bas-Saint-Laurent",
	1232	+ "platform": "D2C Media (petit inventaire ~5-10 véhicules)",
	1233	+ "connector": "d2c_dealers",
	1234	+ "status": "actif"
	1235	+ },
	1236	+ {
	1237	+ "id": "septileshonda",
	1238	+ "name": "Sept-Îles Honda",
	1239	+ "url": "https://www.septileshonda.com",
	1240	+ "listing_url": "https://www.septileshonda.com/fr/inventaire-occasion",
	1241	+ "city": "Sept-Îles",
	1242	+ "region": "Côte-Nord",
	1243	+ "platform": "sm360",
	1244	+ "connector": "sm360_dealers",
	1245	+ "status": "actif"
	1246	+ },
	1247	+ {
	1248	+ "id": "septilesgm",
	1249	+ "name": "Sept-Îles Chevrolet Buick GMC",
	1250	+ "url": "https://www.sept-ilesgm.com",
	1251	+ "listing_url": "https://www.sept-ilesgm.com/fr/inventaire-occasion",
	1252	+ "city": "Sept-Îles",
	1253	+ "region": "Côte-Nord",
	1254	+ "platform": "sm360",
	1255	+ "connector": "sm360_dealers",
	1256	+ "status": "actif"
	1257	+ },
	1258	+ {
	1259	+ "id": "baiecomeaugm",
	1260	+ "name": "Baie-Comeau Chevrolet Buick GMC",
	1261	+ "url": "https://www.baiecomeaugm.com",
	1262	+ "listing_url": "https://www.baiecomeaugm.com/fr/inventaire-occasion",
	1263	+ "city": "Baie-Comeau",
	1264	+ "region": "Côte-Nord",
	1265	+ "platform": "sm360",
	1266	+ "connector": "sm360_dealers",
	1267	+ "status": "actif"
	1268	+ },
	1269	+ {
	1270	+ "id": "volvosaintleonard",
	1271	+ "name": "Volvo Cars Saint-Léonard",
	1272	+ "url": "https://www.volvocarssaintleonard.com",
	1273	+ "listing_url": "https://www.volvocarssaintleonard.com/fr/inventaire-occasion",
	1274	+ "city": "Montréal",
	1275	+ "region": "Montréal",
	1276	+ "platform": "sm360",
	1277	+ "connector": "sm360_dealers",
	1278	+ "status": "actif"
	1279	+ },
	1280	+ {
	1281	+ "id": "kiamatane",
	1282	+ "name": "Kia Matane",
	1283	+ "url": "https://www.kiamatane.com",
	1284	+ "listing_url": "https://www.kiamatane.com/fr/inventaire-occasion",
	1285	+ "city": "Matane",
	1286	+ "region": "Bas-Saint-Laurent",
	1287	+ "platform": "sm360",
	1288	+ "connector": "sm360_dealers",
	1289	+ "status": "actif"
	1290	+ },
	1291	+ {
	1292	+ "id": "marquisautomobiles",
	1293	+ "name": "Marquis Automobiles",
	1294	+ "url": "https://www.marquisautomobiles.com",
	1295	+ "listing_url": "https://www.marquisautomobiles.com/fr/inventaire-occasion",
	1296	+ "city": "Matane",
	1297	+ "region": "Bas-Saint-Laurent",
	1298	+ "platform": "sm360",
	1299	+ "connector": "sm360_dealers",
	1300	+ "status": "actif"
	1301	+ },
	1302	+ {
	1303	+ "id": "villeneuveford",
	1304	+ "name": "Villeneuve Ford",
	1305	+ "url": "https://www.villeneuveford.com",
	1306	+ "listing_url": "https://www.villeneuveford.com/fr/inventaire-occasion",
	1307	+ "city": "Matane",
	1308	+ "region": "Bas-Saint-Laurent",
	1309	+ "platform": "sm360",
	1310	+ "connector": "sm360_dealers",
	1311	+ "status": "actif"
	1312	+ },
	1313	+ {
	1314	+ "id": "autobsl",
	1315	+ "name": "Auto BSL",
	1316	+ "url": "https://www.autobsl.com",
	1317	+ "listing_url": "https://www.autobsl.com/inventaire/",
	1318	+ "city": "Rimouski",
	1319	+ "region": "Bas-Saint-Laurent",
	1320	+ "platform": "AMVOQ Focus 360 (theme_central)",
	1321	+ "connector": "central_dealers",
	1322	+ "status": "actif"
	1323	+ },
	1324	+ {
	1325	+ "id": "autoxtreme",
	1326	+ "name": "Auto Xtrême",
	1327	+ "url": "https://www.autoxtreme.ca",
	1328	+ "listing_url": "https://www.autoxtreme.ca/inventaire/",
	1329	+ "city": "Montréal",
	1330	+ "region": "Montréal",
	1331	+ "platform": "AMVOQ Focus 360 (theme_central)",
	1332	+ "connector": "central_dealers",
	1333	+ "status": "actif"
	1334	+ },
	1335	+ {
	1336	+ "id": "dastousauto",
	1337	+ "name": "D'Astous Auto",
	1338	+ "url": "https://www.dastousauto.com",
	1339	+ "listing_url": "https://www.dastousauto.com/inventaire/",
	1340	+ "city": "Montréal",
	1341	+ "region": "Montréal",
	1342	+ "platform": "AMVOQ Focus 360 (theme_central)",
	1343	+ "connector": "central_dealers",
	1344	+ "status": "actif"
	1345	+ },
	1346	+ {
	1347	+ "id": "montjolichrysler",
	1348	+ "name": "Chrysler Mont-Joli",
	1349	+ "url": "https://www.montjolichrysler.com",
	1350	+ "listing_url": "https://www.montjolichrysler.com/auto-usage/",
	1351	+ "city": "Mont-Joli",
	1352	+ "region": "Bas-Saint-Laurent",
	1353	+ "platform": "Next.js RSC autoroot.io / EvalAuto (pattern Occasion Beaucage)",
	1354	+ "connector": "montjolichrysler",
	1355	+ "status": "actif"
	1356	+ },
	1357	+ {
	1358	+ "id": "classeauto",
	1359	+ "name": "Classe Auto",
	1360	+ "url": "https://www.classeauto.ca",
	1361	+ "listing_url": "https://www.classeauto.ca/en/cars",
	1362	+ "city": "Montréal",
	1363	+ "region": "Montréal",
	1364	+ "platform": "WordPress Astra + DriveGood (export JSON statique car_single_page_data/cars_formatted.json — 1 requête pour tout l'inventaire)",
	1365	+ "connector": "classeauto",
	1366	+ "status": "actif"
	1367	+ },
	1368	+ {
	1369	+ "id": "occasioncharlevoix",
	1370	+ "name": "Occasion Charlevoix",
	1371	+ "url": "https://www.occasioncharlevoix.com",
	1372	+ "listing_url": "https://www.occasioncharlevoix.com/fr/inventaire/occasion",
	1373	+ "city": "Baie-Saint-Paul",
	1374	+ "region": "Capitale-Nationale",
	1375	+ "platform": "OctoberCMS thème nerd2 / NerdAuto (cartes liste rendues serveur + bloc Autoverify data-av-* ; pages détail pour specs/carfax)",
	1376	+ "connector": "occasioncharlevoix",
	1377	+ "status": "actif"
	1378	+ },
	1379	+ {
	1380	+ "id": "mathiassports",
	1381	+ "name": "Mathias Sports",
	1382	+ "url": "https://mathiassports.com",
	1383	+ "listing_url": "https://mathiassports.com/fr/usage/motocyclette/",
	1384	+ "city": "Saint-Mathias-sur-Richelieu",
	1385	+ "region": "Montérégie",
	1386	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1387	+ "connector": "moto_dealers",
	1388	+ "vertical": "moto",
	1389	+ "status": "actif"
	1390	+ },
	1391	+ {
	1392	+ "id": "smsport",
	1393	+ "name": "SM Sport",
	1394	+ "url": "https://smsport.ca",
	1395	+ "listing_url": "https://smsport.ca/fr/usage/motocyclette/",
	1396	+ "city": "Québec",
	1397	+ "region": "Capitale-Nationale",
	1398	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1399	+ "connector": "moto_dealers",
	1400	+ "vertical": "moto",
	1401	+ "status": "actif"
	1402	+ },
	1403	+ {
	1404	+ "id": "motosillimitees",
	1405	+ "name": "Motos Illimitées",
	1406	+ "url": "https://www.motosillimitees.com",
	1407	+ "listing_url": "https://www.motosillimitees.com/fr/usage/motocyclette/",
	1408	+ "city": "Terrebonne",
	1409	+ "region": "Lanaudière",
	1410	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1411	+ "connector": "moto_dealers",
	1412	+ "vertical": "moto",
	1413	+ "status": "actif"
	1414	+ },
	1415	+ {
	1416	+ "id": "rmmotosport",
	1417	+ "name": "RM Motosport",
	1418	+ "url": "https://www.rmmotosport.com",
	1419	+ "listing_url": "https://www.rmmotosport.com/fr/usage/",
	1420	+ "city": "Victoriaville",
	1421	+ "region": "Centre-du-Québec",
	1422	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1423	+ "connector": "moto_dealers",
	1424	+ "vertical": "moto",
	1425	+ "status": "actif"
	1426	+ },
	1427	+ {
	1428	+ "id": "glsport",
	1429	+ "name": "GL Sport",
	1430	+ "url": "https://www.glsport.ca",
	1431	+ "listing_url": "https://www.glsport.ca/fr/usage/",
	1432	+ "city": "Saint-Gervais",
	1433	+ "region": "Chaudière-Appalaches",
	1434	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1435	+ "connector": "moto_dealers",
	1436	+ "vertical": "moto",
	1437	+ "status": "actif"
	1438	+ },
	1439	+ {
	1440	+ "id": "excelmoto",
	1441	+ "name": "Excel Moto",
	1442	+ "url": "https://www.excelmoto.com",
	1443	+ "listing_url": "https://www.excelmoto.com/fr/usage/",
	1444	+ "city": "Montréal",
	1445	+ "region": "Montréal",
	1446	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1447	+ "connector": "moto_dealers",
	1448	+ "vertical": "moto",
	1449	+ "status": "actif"
	1450	+ },
	1451	+ {
	1452	+ "id": "groupecontant",
	1453	+ "name": "Groupe Contant",
	1454	+ "url": "https://www.contant.ca",
	1455	+ "listing_url": "https://www.contant.ca/fr/usage/",
	1456	+ "city": "Repentigny",
	1457	+ "region": "Lanaudière",
	1458	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail) ; multi-succursales (Mirabel, Repentigny, Vaudreuil, Beloeil, Ste-Agathe) — ville par véhicule via location",
	1459	+ "connector": "moto_dealers",
	1460	+ "vertical": "moto",
	1461	+ "status": "actif"
	1462	+ },
	1463	+ {
	1464	+ "id": "gabrielharleydavidson",
	1465	+ "name": "Gabriel Harley-Davidson Montréal",
	1466	+ "url": "https://gabrielharleydavidsonmtl.com",
	1467	+ "listing_url": "https://gabrielharleydavidsonmtl.com/fr/usage/motocyclette/",
	1468	+ "city": "Montréal",
	1469	+ "region": "Montréal",
	1470	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail) ; JSON-LD dans un @graph",
	1471	+ "connector": "moto_dealers",
	1472	+ "vertical": "moto",
	1473	+ "status": "actif"
	1474	+ },
	1475	+ {
	1476	+ "id": "stjeromeharleydavidson",
	1477	+ "name": "St-Jérôme Harley-Davidson",
	1478	+ "url": "https://stjeromeharleydavidson.com",
	1479	+ "listing_url": "https://stjeromeharleydavidson.com/fr/usage/motocyclette/",
	1480	+ "city": "Saint-Jérôme",
	1481	+ "region": "Laurentides",
	1482	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail) ; JSON-LD dans un @graph",
	1483	+ "connector": "moto_dealers",
	1484	+ "vertical": "moto",
	1485	+ "status": "actif"
	1486	+ },
	1487	+ {
	1488	+ "id": "mecamoto",
	1489	+ "name": "Mecamoto",
	1490	+ "url": "https://www.mecamoto.ca",
	1491	+ "listing_url": "https://www.mecamoto.ca/fr/usage/",
	1492	+ "city": "Montréal",
	1493	+ "region": "Montréal",
	1494	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail) ; spécialiste Vespa/Piaggio/Moto Guzzi — scooters usagés en catégorie Cyclomoteurs",
	1495	+ "connector": "moto_dealers",
	1496	+ "vertical": "moto",
	1497	+ "status": "actif"
	1498	+ },
	1499	+ {
	1500	+ "id": "motosthibaulttr",
	1501	+ "name": "Motos Thibault Trois-Rivières",
	1502	+ "url": "https://www.motosthibault.ca",
	1503	+ "listing_url": "https://www.motosthibault.ca/fr/usage/",
	1504	+ "city": "Trois-Rivières",
	1505	+ "region": "Mauricie",
	1506	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail)",
	1507	+ "connector": "moto_dealers",
	1508	+ "vertical": "moto",
	1509	+ "status": "actif"
	1510	+ },
	1511	+ {
	1512	+ "id": "groupeimperium",
	1513	+ "name": "Groupe Imperium",
	1514	+ "url": "https://www.groupeimperium.ca",
	1515	+ "listing_url": "https://www.groupeimperium.ca/fr/usage/",
	1516	+ "city": "Chicoutimi",
	1517	+ "region": "Saguenay–Lac-Saint-Jean",
	1518	+ "platform": "PowerGo (JSON inventaire public /data/vehicles-inventory-fr-items.json + JSON-LD Vehicle des pages détail) ; multi-succursales (Chicoutimi, Dolbeau-Mistassini, Chibougamau, Rouyn-Noranda) — ville par véhicule via location",
	1519	+ "connector": "moto_dealers",
	1520	+ "vertical": "moto",
	1521	+ "status": "actif"
	1522	+ },
	1523	+ {
	1524	+ "id": "motoducharme",
	1525	+ "name": "Moto Ducharme",
	1526	+ "url": "https://www.motoducharme.com",
	1527	+ "listing_url": "https://www.motoducharme.com/fr/vehicules-d-occasion/motocyclettes",
	1528	+ "city": "Joliette",
	1529	+ "region": "Lanaudière",
	1530	+ "platform": "Magento thème Traction (listing motos usagées server-rendered ?p=N ; détail : JSON-LD Product + table de spécifications Kilométrage/Couleur + galerie JSON Magento)",
	1531	+ "connector": "moto_dealers",
	1532	+ "vertical": "moto",
	1533	+ "status": "actif"
	1534	+ }
	1535	+ ]
	1536	+}

added apps/auto/frontend/index.html +20 −0

		`@@ -0,0 +1,20 @@`
	1	+<!doctype html>
	2	+<html lang="fr">
	3	+ <head>
	4	+ <meta charset="UTF-8" />
	5	+ <meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
	6	+ <meta name="description" content="Auto-Ka — toutes les voitures usagées à vendre au Québec, agrégées directement depuis les sites des concessionnaires. Un seul endroit, toujours à jour." />
	7	+ <meta name="theme-color" content="#17181c" />
	8	+ <title>Auto·Ka — Voitures usagées à vendre au Québec</title>
	9	+ <link rel="preconnect" href="https://fonts.googleapis.com" />
	10	+ <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
	11	+ <link
	12	+ href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@400;500;600;700&family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap"
	13	+ rel="stylesheet"
	14	+ />
	15	+ </head>
	16	+ <body>
	17	+ <div id="root"></div>
	18	+ <script type="module" src="/src/main.tsx"></script>
	19	+ </body>
	20	+</html>

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		`@@ -0,0 +1,1834 @@`
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added apps/auto/frontend/package.json +24 −0

		`@@ -0,0 +1,24 @@`
	1	+{
	2	+ "name": "auto-ka-frontend",
	3	+ "author": "Simon-Pierre Boucher <contact@spboucher.ai>",
	4	+ "private": true,
	5	+ "version": "1.0.0",
	6	+ "type": "module",
	7	+ "scripts": {
	8	+ "dev": "vite",
	9	+ "build": "tsc -b && vite build",
	10	+ "preview": "vite preview"
	11	+ },
	12	+ "dependencies": {
	13	+ "react": "^18.3.1",
	14	+ "react-dom": "^18.3.1",
	15	+ "react-router-dom": "^6.26.0"
	16	+ },
	17	+ "devDependencies": {
	18	+ "@types/react": "^18.3.3",
	19	+ "@types/react-dom": "^18.3.0",
	20	+ "@vitejs/plugin-react": "^4.3.1",
	21	+ "typescript": "^5.5.4",
	22	+ "vite": "^5.4.0"
	23	+ }
	24	+}

added apps/auto/frontend/src/App.tsx +132 −0

		`@@ -0,0 +1,132 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// App.tsx : layout global (header + ticker en direct + footer encre) et routage
	5	+// -----------------------------------------------------------------------------
	6	+import { useEffect, useState } from "react";
	7	+import { NavLink, Route, Routes } from "react-router-dom";
	8	+import { fetchFacets, fetchSources, fetchStats, registerSourceNames } from "./api";
	9	+import Home from "./pages/Home";
	10	+import VehiclePage from "./pages/Vehicle";
	11	+import SourcesPage from "./pages/Sources";
	12	+import StatsPage from "./pages/Stats";
	13	+
	14	+function Ticker() {
	15	+ const [items, setItems] = useState<string[]>([]);
	16	+
	17	+ useEffect(() => {
	18	+ Promise.all([fetchStats(), fetchFacets(), fetchSources()])
	19	+ .then(([stats, facets, src]) => {
	20	+ registerSourceNames(src.sources);
	21	+ const parts: string[] = [
	22	+ `${stats.total.toLocaleString("fr-CA")} véhicules à vendre`,
	23	+ `${stats.sources} concessionnaires connectés`,
	24	+ ];
	25	+ if (stats.avg_price != null)
	26	+ parts.push(`Prix moyen ${Math.round(stats.avg_price).toLocaleString("fr-CA")} $`);
	27	+ for (const r of stats.by_region.slice(0, 8))
	28	+ parts.push(`${r.region} · ${r.n}`);
	29	+ for (const m of facets.makes.slice(0, 8))
	30	+ parts.push(`${m.make} · ${m.n}`);
	31	+ parts.push("Directement des sites des concessionnaires");
	32	+ setItems(parts);
	33	+ })
	34	+ .catch(() => setItems(["Auto-Ka — voitures usagées à vendre au Québec"]));
	35	+ }, []);
	36	+
	37	+ if (items.length === 0) return null;
	38	+ // contenu doublé pour une boucle de défilement continue
	39	+ return (
	40	+ <div className="ticker" aria-hidden="true">
	41	+ <div className="ticker-track">
	42	+ {[...items, ...items].map((t, i) => (
	43	+ <span key={i}>{t}</span>
	44	+ ))}
	45	+ </div>
	46	+ </div>
	47	+ );
	48	+}
	49	+
	50	+function Header() {
	51	+ return (
	52	+ <>
	53	+ <header className="header">
	54	+ <div className="container header-inner">
	55	+ <NavLink to="/" className="brand" aria-label="Auto-Ka — accueil">
	56	+ Auto<span className="ka">Ka</span>
	57	+ <span className="brand-tag">Voitures usagées · tout le Québec · toujours à jour</span>
	58	+ </NavLink>
	59	+ <nav className="nav" aria-label="Navigation principale">
	60	+ <NavLink to="/" end className={({ isActive }) => (isActive ? "active" : "")}>
	61	+ Autos
	62	+ </NavLink>
	63	+ <NavLink to="/motos" className={({ isActive }) => (isActive ? "active" : "")}>
	64	+ Motos
	65	+ </NavLink>
	66	+ <NavLink to="/scooters" className={({ isActive }) => (isActive ? "active" : "")}>
	67	+ Scooters
	68	+ </NavLink>
	69	+ <NavLink to="/stats" className={({ isActive }) => (isActive ? "active" : "")}>
	70	+ Stats
	71	+ </NavLink>
	72	+ <NavLink to="/sources" className={({ isActive }) => (isActive ? "active" : "")}>
	73	+ Sources
	74	+ </NavLink>
	75	+ </nav>
	76	+ </div>
	77	+ </header>
	78	+ <Ticker />
	79	+ </>
	80	+ );
	81	+}
	82	+
	83	+function Footer() {
	84	+ return (
	85	+ <footer className="footer">
	86	+ <div className="container">
	87	+ <div className="fbrand">
	88	+ Auto<span className="ka">Ka</span>
	89	+ </div>
	90	+ <div className="frow">
	91	+ <b>Agrégateur indépendant</b> de voitures usagées à vendre dans la
	92	+ province de Québec. Les annonces proviennent directement des sites
	93	+ publics des concessionnaires — pas des plateformes d'annonces — et
	94	+ sont rafraîchies automatiquement. Chaque fiche renvoie vers l'annonce
	95	+ originale du commerçant.
	96	+ </div>
	97	+ <div className="fmono">
	98	+ © {new Date().getFullYear()} Simon-Pierre Boucher — contact@spboucher.ai
	99	+ </div>
	100	+ </div>
	101	+ </footer>
	102	+ );
	103	+}
	104	+
	105	+export default function App() {
	106	+ return (
	107	+ <>
	108	+ <Header />
	109	+ <main>
	110	+ <Routes>
	111	+ <Route path="/" element={<Home kind="auto" />} />
	112	+ <Route path="/motos" element={<Home kind="moto" />} />
	113	+ <Route path="/scooters" element={<Home kind="scooter" />} />
	114	+ <Route path="/vehicule/:uid" element={<VehiclePage />} />
	115	+ <Route path="/stats" element={<StatsPage />} />
	116	+ <Route path="/sources" element={<SourcesPage />} />
	117	+ <Route
	118	+ path="*"
	119	+ element={
	120	+ <div className="notice container">
	121	+ <div className="big">🧭</div>
	122	+ <h2>Page introuvable</h2>
	123	+ <p>Le lien demandé n'existe pas.</p>
	124	+ </div>
	125	+ }
	126	+ />
	127	+ </Routes>
	128	+ </main>
	129	+ <Footer />
	130	+ </>
	131	+ );
	132	+}

added apps/auto/frontend/src/api.ts +179 −0

		`@@ -0,0 +1,179 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// api.ts : client typé de l'API FastAPI
	5	+// -----------------------------------------------------------------------------
	6	+
	7	+export interface Vehicle {
	8	+ uid: string;
	9	+ kind: string;
	10	+ source: string;
	11	+ external_id: string;
	12	+ url: string;
	13	+ title: string;
	14	+ make: string;
	15	+ model: string;
	16	+ trim: string;
	17	+ year: number \| null;
	18	+ price: number \| null;
	19	+ price_label: string;
	20	+ mileage_km: number \| null;
	21	+ mileage_label: string;
	22	+ transmission: string;
	23	+ fuel: string;
	24	+ drivetrain: string;
	25	+ body_type: string;
	26	+ exterior_color: string;
	27	+ interior_color: string;
	28	+ engine: string;
	29	+ doors: number \| null;
	30	+ seats: number \| null;
	31	+ vin: string;
	32	+ stock_number: string;
	33	+ dealer_name: string;
	34	+ city: string;
	35	+ region: string;
	36	+ description: string;
	37	+ features: string[];
	38	+ details: Record<string, unknown>;
	39	+ images: string[];
	40	+ carfax_url: string;
	41	+ first_seen: number;
	42	+ updated_at: number;
	43	+ active: number;
	44	+}
	45	+
	46	+export interface VehicleDetail extends Vehicle {
	47	+ price_history: { ts: number; price: number \| null }[];
	48	+ similar: Vehicle[];
	49	+}
	50	+
	51	+export interface Facets {
	52	+ makes: { make: string; n: number }[];
	53	+ models: { model: string; n: number }[];
	54	+ body_types: string[];
	55	+ fuels: string[];
	56	+ regions: { region: string; n: number }[];
	57	+ sources: { source: string; dealer_name: string; n: number }[];
	58	+ years: { y_min: number \| null; y_max: number \| null }[];
	59	+}
	60	+
	61	+export interface Source {
	62	+ id: string;
	63	+ name: string;
	64	+ url: string;
	65	+ listing_url?: string;
	66	+ city?: string;
	67	+ region?: string;
	68	+ platform?: string;
	69	+ status?: string;
	70	+ active_listings: number;
	71	+ last_sync: number \| null;
	72	+}
	73	+
	74	+export interface Stats {
	75	+ total: number;
	76	+ sources: number;
	77	+ regions: number;
	78	+ avg_price: number \| null;
	79	+ avg_km: number \| null;
	80	+ avg_year: number \| null;
	81	+ by_region: { region: string; n: number; avg_price: number \| null }[];
	82	+ by_make: { make: string; n: number; avg_price: number \| null }[];
	83	+ by_body: { body_type: string; n: number }[];
	84	+ price_drops: {
	85	+ uid: string; title: string; year: number \| null; price: number;
	86	+ prev_price: number; images: string[]; dealer_name: string; city: string;
	87	+ }[];
	88	+ recent_syncs: {
	89	+ source: string; ts: number; found: number; added: number;
	90	+ updated: number; removed: number; ok: number; message: string;
	91	+ }[];
	92	+}
	93	+
	94	+export interface VehicleQuery {
	95	+ kind?: string;
	96	+ make?: string;
	97	+ model?: string;
	98	+ body_type?: string;
	99	+ fuel?: string;
	100	+ transmission?: string;
	101	+ drivetrain?: string;
	102	+ region?: string;
	103	+ source?: string;
	104	+ year_min?: number;
	105	+ year_max?: number;
	106	+ price_min?: number;
	107	+ price_max?: number;
	108	+ km_max?: number;
	109	+ q?: string;
	110	+ sort?: string;
	111	+ limit?: number;
	112	+ offset?: number;
	113	+}
	114	+
	115	+// Préfixe de base (ex. "/auto") pour tous les appels API relatifs.
	116	+export const API_BASE = import.meta.env.BASE_URL.replace(/\/$/, "");
	117	+
	118	+async function get<T>(path: string): Promise<T> {
	119	+ const res = await fetch(API_BASE + path);
	120	+ if (!res.ok) throw new Error(`API ${res.status}`);
	121	+ return res.json();
	122	+}
	123	+
	124	+export function fetchVehicles(query: VehicleQuery) {
	125	+ const params = new URLSearchParams();
	126	+ for (const [k, v] of Object.entries(query)) {
	127	+ if (v !== undefined && v !== null && v !== "") params.set(k, String(v));
	128	+ }
	129	+ return get<{ total: number; count: number; vehicles: Vehicle[] }>(
	130	+ `/api/vehicles?${params.toString()}`
	131	+ );
	132	+}
	133	+
	134	+export function fetchVehicle(uid: string) {
	135	+ return get<VehicleDetail>(`/api/vehicles/${encodeURIComponent(uid)}`);
	136	+}
	137	+
	138	+export function fetchFacets(make?: string, kind?: string) {
	139	+ const params = new URLSearchParams();
	140	+ if (make) params.set("make", make);
	141	+ if (kind) params.set("kind", kind);
	142	+ const qs = params.toString();
	143	+ return get<Facets>(`/api/facets${qs ? `?${qs}` : ""}`);
	144	+}
	145	+
	146	+export function fetchSources() {
	147	+ return get<{ sources: Source[] }>("/api/sources");
	148	+}
	149	+
	150	+export function fetchStats() {
	151	+ return get<Stats>("/api/stats");
	152	+}
	153	+
	154	+// -- noms d'affichage des sources (peuplés depuis /api/sources) ---------------
	155	+const names: Record<string, string> = {};
	156	+
	157	+export function registerSourceNames(sources: Source[]) {
	158	+ for (const s of sources) names[s.id] = s.name;
	159	+}
	160	+
	161	+export function sourceName(id: string): string {
	162	+ return names[id] ?? id;
	163	+}
	164	+
	165	+// -- formatteurs ---------------------------------------------------------------
	166	+export const fmtPrice = (p: number \| null \| undefined) =>
	167	+ p == null ? "Prix sur demande" : `${Math.round(p).toLocaleString("fr-CA")} $`;
	168	+
	169	+export const fmtKm = (km: number \| null \| undefined) =>
	170	+ km == null ? "— km" : `${Math.round(km).toLocaleString("fr-CA")} km`;
	171	+
	172	+export const fmtDate = (ts: number \| null \| undefined) =>
	173	+ ts == null
	174	+ ? "—"
	175	+ : new Date(ts * 1000).toLocaleDateString("fr-CA", {
	176	+ day: "numeric",
	177	+ month: "short",
	178	+ year: "numeric",
	179	+ });

added apps/auto/frontend/src/components/Charts.tsx +193 −0

		`@@ -0,0 +1,193 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// Charts.tsx : graphiques SVG maison — histogramme, barres horizontales, donut.
	5	+// Marques fines, bouts arrondis, étiquettes directes sélectives, infobulle
	6	+// au survol, vue tableau repliable (accessibilité). Palette catégorielle
	7	+// validée (contraste + daltonisme) : #d94f1e #1f6fb5 #1c7a4d #b58500
	8	+// #7d4fc9 #a05a2c.
	9	+// -----------------------------------------------------------------------------
	10	+import { ReactNode, useState } from "react";
	11	+
	12	+export const CAT_COLORS = ["#d94f1e", "#1f6fb5", "#1c7a4d", "#b58500", "#7d4fc9", "#a05a2c"];
	13	+
	14	+export interface Datum {
	15	+ label: string;
	16	+ n: number;
	17	+ extra?: string;
	18	+}
	19	+
	20	+const fmt = (n: number) => Math.round(n).toLocaleString("fr-CA");
	21	+
	22	+function DataTable({ rows, valueLabel }: { rows: Datum[]; valueLabel: string }) {
	23	+ return (
	24	+ <details className="chart-data">
	25	+ <summary>Voir les données</summary>
	26	+ <table>
	27	+ <thead>
	28	+ <tr><th>Catégorie</th><th>{valueLabel}</th></tr>
	29	+ </thead>
	30	+ <tbody>
	31	+ {rows.map((r) => (
	32	+ <tr key={r.label}>
	33	+ <td>{r.label}</td>
	34	+ <td>{fmt(r.n)}{r.extra ? ` · ${r.extra}` : ""}</td>
	35	+ </tr>
	36	+ ))}
	37	+ </tbody>
	38	+ </table>
	39	+ </details>
	40	+ );
	41	+}
	42	+
	43	+function Tip({ x, y, children }: { x: number; y: number; children: ReactNode }) {
	44	+ return (
	45	+ <div className="chart-tip" style={{ left: x, top: y }}>
	46	+ {children}
	47	+ </div>
	48	+ );
	49	+}
	50	+
	51	+/** Histogramme vertical — magnitude d'une distribution, une seule teinte. */
	52	+export function VBars({ data, color = "#d94f1e", valueLabel = "véhicules", height = 190 }:
	53	+ { data: Datum[]; color?: string; valueLabel?: string; height?: number }) {
	54	+ const [tip, setTip] = useState<{ x: number; y: number; d: Datum } \| null>(null);
	55	+ if (!data.length) return null;
	56	+ const max = Math.max(...data.map((d) => d.n), 1);
	57	+ const W = 720, PAD = 6, LBL = 28;
	58	+ const bw = (W - PAD * (data.length - 1)) / data.length;
	59	+ const plotH = height - LBL - 18;
	60	+ return (
	61	+ <div className="chart-wrap" onMouseLeave={() => setTip(null)}>
	62	+ <svg viewBox={`0 0 ${W} ${height}`} className="chart vbars" role="img"
	63	+ aria-label={`Histogramme : ${valueLabel} par classe`}>
	64	+ {data.map((d, i) => {
	65	+ const h = Math.max(3, (d.n / max) * plotH);
	66	+ const x = i * (bw + PAD);
	67	+ const y = 18 + (plotH - h);
	68	+ const show = d.n === max \|\| i === 0 \|\| i === data.length - 1;
	69	+ return (
	70	+ <g key={d.label}>
	71	+ <rect
	72	+ x={x} y={y} width={bw} height={h} rx={4} fill={color}
	73	+ className="mark"
	74	+ onMouseEnter={(e) => {
	75	+ const r = (e.currentTarget.closest(".chart-wrap") as HTMLElement).getBoundingClientRect();
	76	+ setTip({ x: e.clientX - r.left, y: e.clientY - r.top - 10, d });
	77	+ }}
	78	+ />
	79	+ {show && (
	80	+ <text x={x + bw / 2} y={y - 5} textAnchor="middle" className="c-val">
	81	+ {fmt(d.n)}
	82	+ </text>
	83	+ )}
	84	+ <text x={x + bw / 2} y={height - 4} textAnchor="middle" className="c-lbl">
	85	+ {d.label}
	86	+ </text>
	87	+ </g>
	88	+ );
	89	+ })}
	90	+ </svg>
	91	+ {tip && <Tip x={tip.x} y={tip.y}><b>{tip.d.label}</b> — {fmt(tip.d.n)} {valueLabel}{tip.d.extra ? ` · ${tip.d.extra}` : ""}</Tip>}
	92	+ <DataTable rows={data} valueLabel={valueLabel} />
	93	+ </div>
	94	+ );
	95	+}
	96	+
	97	+/** Barres horizontales — classement d'une même mesure, une seule teinte. */
	98	+export function HBars({ data, color = "#d94f1e", valueLabel = "véhicules" }:
	99	+ { data: Datum[]; color?: string; valueLabel?: string }) {
	100	+ const [tip, setTip] = useState<{ x: number; y: number; d: Datum } \| null>(null);
	101	+ if (!data.length) return null;
	102	+ const max = Math.max(...data.map((d) => d.n), 1);
	103	+ const W = 720, ROW = 26, LBL = 150;
	104	+ const H = data.length * ROW;
	105	+ return (
	106	+ <div className="chart-wrap" onMouseLeave={() => setTip(null)}>
	107	+ <svg viewBox={`0 0 ${W} ${H}`} className="chart hbars" role="img"
	108	+ aria-label={`Barres : ${valueLabel} par catégorie`}>
	109	+ {data.map((d, i) => {
	110	+ const w = Math.max(4, (d.n / max) * (W - LBL - 120));
	111	+ const y = i * ROW + 4;
	112	+ return (
	113	+ <g key={d.label}>
	114	+ <text x={LBL - 8} y={y + 13} textAnchor="end" className="c-cat">
	115	+ {d.label.length > 22 ? d.label.slice(0, 21) + "…" : d.label}
	116	+ </text>
	117	+ <rect
	118	+ x={LBL} y={y} width={w} height={ROW - 10} rx={4} fill={color}
	119	+ className="mark"
	120	+ onMouseEnter={(e) => {
	121	+ const r = (e.currentTarget.closest(".chart-wrap") as HTMLElement).getBoundingClientRect();
	122	+ setTip({ x: e.clientX - r.left, y: e.clientY - r.top - 10, d });
	123	+ }}
	124	+ />
	125	+ <text x={LBL + w + 7} y={y + 12} className="c-val">
	126	+ {fmt(d.n)}{d.extra ? ` · ${d.extra}` : ""}
	127	+ </text>
	128	+ </g>
	129	+ );
	130	+ })}
	131	+ </svg>
	132	+ {tip && <Tip x={tip.x} y={tip.y}><b>{tip.d.label}</b> — {fmt(tip.d.n)} {valueLabel}{tip.d.extra ? ` · ${tip.d.extra}` : ""}</Tip>}
	133	+ <DataTable rows={data} valueLabel={valueLabel} />
	134	+ </div>
	135	+ );
	136	+}
	137	+
	138	+/** Donut — parts d'un tout (≤ 6 catégories + « Autres »), palette validée. */
	139	+export function Donut({ data, valueLabel = "véhicules" }:
	140	+ { data: Datum[]; valueLabel?: string }) {
	141	+ const [tip, setTip] = useState<{ x: number; y: number; d: Datum; pct: number } \| null>(null);
	142	+ if (!data.length) return null;
	143	+ const top = data.slice(0, 5);
	144	+ const rest = data.slice(5).reduce((s, d) => s + d.n, 0);
	145	+ const parts: Datum[] = rest > 0 ? [...top, { label: "Autres", n: rest }] : top;
	146	+ const total = parts.reduce((s, d) => s + d.n, 0) \|\| 1;
	147	+ const R = 80, r = 46, CX = 110, CY = 100;
	148	+ let angle = -Math.PI / 2;
	149	+ const arcs = parts.map((d, i) => {
	150	+ const span = (d.n / total) * Math.PI * 2;
	151	+ const a0 = angle, a1 = angle + span;
	152	+ angle = a1;
	153	+ const large = span > Math.PI ? 1 : 0;
	154	+ const p = (a: number, rad: number) =>
	155	+ `${CX + rad * Math.cos(a)},${CY + rad * Math.sin(a)}`;
	156	+ return {
	157	+ d,
	158	+ pct: (d.n / total) * 100,
	159	+ color: CAT_COLORS[i % CAT_COLORS.length],
	160	+ path: `M ${p(a0, R)} A ${R} ${R} 0 ${large} 1 ${p(a1, R)} L ${p(a1, r)} A ${r} ${r} 0 ${large} 0 ${p(a0, r)} Z`,
	161	+ };
	162	+ });
	163	+ return (
	164	+ <div className="chart-wrap donut-wrap" onMouseLeave={() => setTip(null)}>
	165	+ <svg viewBox="0 0 220 200" className="chart donut" role="img"
	166	+ aria-label={`Répartition : ${valueLabel} par catégorie`}>
	167	+ {arcs.map((a) => (
	168	+ <path
	169	+ key={a.d.label} d={a.path} fill={a.color} stroke="var(--surface)"
	170	+ strokeWidth={2} className="mark"
	171	+ onMouseEnter={(e) => {
	172	+ const rr = (e.currentTarget.closest(".chart-wrap") as HTMLElement).getBoundingClientRect();
	173	+ setTip({ x: e.clientX - rr.left, y: e.clientY - rr.top - 10, d: a.d, pct: a.pct });
	174	+ }}
	175	+ />
	176	+ ))}
	177	+ <text x={CX} y={CY - 2} textAnchor="middle" className="donut-total">{fmt(total)}</text>
	178	+ <text x={CX} y={CY + 14} textAnchor="middle" className="c-lbl">{valueLabel}</text>
	179	+ </svg>
	180	+ <div className="donut-legend">
	181	+ {arcs.map((a) => (
	182	+ <div key={a.d.label} className="dl-row">
	183	+ <span className="dl-swatch" style={{ background: a.color }} />
	184	+ <span className="dl-name">{a.d.label}</span>
	185	+ <span className="dl-val">{a.pct.toFixed(1)} %</span>
	186	+ </div>
	187	+ ))}
	188	+ </div>
	189	+ {tip && <Tip x={tip.x} y={tip.y}><b>{tip.d.label}</b> — {fmt(tip.d.n)} {valueLabel} ({tip.pct.toFixed(1)} %)</Tip>}
	190	+ <DataTable rows={parts} valueLabel={valueLabel} />
	191	+ </div>
	192	+ );
	193	+}

added apps/auto/frontend/src/components/VehicleCard.tsx +46 −0

		`@@ -0,0 +1,46 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// VehicleCard.tsx : carte véhicule de la grille de résultats
	5	+// -----------------------------------------------------------------------------
	6	+import { Link } from "react-router-dom";
	7	+import { Vehicle, fmtKm, fmtPrice } from "../api";
	8	+
	9	+export default function VehicleCard({ v }: { v: Vehicle }) {
	10	+ const chips = [
	11	+ v.mileage_km != null ? fmtKm(v.mileage_km) : null,
	12	+ v.transmission \|\| null,
	13	+ v.fuel \|\| null,
	14	+ v.body_type \|\| null,
	15	+ v.drivetrain \|\| null,
	16	+ ].filter(Boolean) as string[];
	17	+
	18	+ return (
	19	+ <Link to={`/vehicule/${encodeURIComponent(v.uid)}`} className="vcard">
	20	+ <div className="photo">
	21	+ {v.images.length > 0 ? (
	22	+ <img src={v.images[0]} alt={v.title} loading="lazy" />
	23	+ ) : (
	24	+ <div className="nopic" aria-hidden="true">🚗</div>
	25	+ )}
	26	+ {v.year != null && <span className="year-chip">{v.year}</span>}
	27	+ </div>
	28	+ <div className="body">
	29	+ <h3>{v.title}</h3>
	30	+ <div className="price">
	31	+ {fmtPrice(v.price)}
	32	+ {v.details?.price_from ? <small> à partir de</small> : null}
	33	+ </div>
	34	+ <div className="specs">
	35	+ {chips.slice(0, 4).map((c) => (
	36	+ <span key={c} className="spec-chip">{c}</span>
	37	+ ))}
	38	+ </div>
	39	+ <div className="foot">
	40	+ <span>{v.dealer_name \|\| v.source}</span>
	41	+ <span>{v.city}</span>
	42	+ </div>
	43	+ </div>
	44	+ </Link>
	45	+ );
	46	+}

added apps/auto/frontend/src/main.tsx +17 −0

		`@@ -0,0 +1,17 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// -----------------------------------------------------------------------------
	5	+import React from "react";
	6	+import ReactDOM from "react-dom/client";
	7	+import { BrowserRouter } from "react-router-dom";
	8	+import App from "./App";
	9	+import "./styles.css";
	10	+
	11	+ReactDOM.createRoot(document.getElementById("root")!).render(
	12	+ <React.StrictMode>
	13	+ <BrowserRouter basename={import.meta.env.BASE_URL.replace(/\/$/, "")}>
	14	+ <App />
	15	+ </BrowserRouter>
	16	+ </React.StrictMode>
	17	+);

added apps/auto/frontend/src/pages/Home.tsx +279 −0

		`@@ -0,0 +1,279 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// Home.tsx : recherche — hero, filtres auto, grille de véhicules, pagination
	5	+// -----------------------------------------------------------------------------
	6	+import { useEffect, useMemo, useState } from "react";
	7	+import { useSearchParams } from "react-router-dom";
	8	+import {
	9	+ Facets, Vehicle, VehicleQuery, fetchFacets, fetchStats, fetchVehicles,
	10	+} from "../api";
	11	+import VehicleCard from "../components/VehicleCard";
	12	+
	13	+const PAGE_SIZE = 24;
	14	+
	15	+const SORTS = [
	16	+ { v: "price_asc", label: "Prix croissant" },
	17	+ { v: "price_desc", label: "Prix décroissant" },
	18	+ { v: "km_asc", label: "Kilométrage croissant" },
	19	+ { v: "year_desc", label: "Année récente" },
	20	+ { v: "recent", label: "Arrivages récents" },
	21	+];
	22	+
	23	+const PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];
	24	+const KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];
	25	+
	26	+const KIND_COPY: Record<string, { label: string; hero: string; sub: string }> = {
	27	+ auto: {
	28	+ label: "voitures usagées",
	29	+ hero: "voitures usagées",
	30	+ sub: "Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.",
	31	+ },
	32	+ moto: {
	33	+ label: "motos usagées",
	34	+ hero: "motos usagées",
	35	+ sub: "Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.",
	36	+ },
	37	+ scooter: {
	38	+ label: "scooters usagés",
	39	+ hero: "scooters usagés",
	40	+ sub: "Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.",
	41	+ },
	42	+};
	43	+
	44	+export default function Home({ kind = "auto" }: { kind?: string }) {
	45	+ const [params, setParams] = useSearchParams();
	46	+ const [facets, setFacets] = useState<Facets \| null>(null);
	47	+ const [vehicles, setVehicles] = useState<Vehicle[]>([]);
	48	+ const [total, setTotal] = useState(0);
	49	+ const [loading, setLoading] = useState(true);
	50	+ const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } \| null>(null);
	51	+
	52	+ const query: VehicleQuery = useMemo(() => {
	53	+ const g = (k: string) => params.get(k) \|\| undefined;
	54	+ const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);
	55	+ return {
	56	+ kind,
	57	+ make: g("make"), model: g("model"), body_type: g("body"),
	58	+ fuel: g("fuel"), transmission: g("trans"), region: g("region"),
	59	+ source: g("source"), year_min: gn("ymin"), year_max: gn("ymax"),
	60	+ price_max: gn("pmax"), km_max: gn("kmax"), q: g("q"),
	61	+ sort: g("sort") \|\| "price_asc",
	62	+ limit: PAGE_SIZE,
	63	+ offset: (Math.max(1, gn("page") \|\| 1) - 1) * PAGE_SIZE,
	64	+ };
	65	+ }, [params, kind]);
	66	+
	67	+ const page = Math.max(1, Number(params.get("page") \|\| 1));
	68	+ const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));
	69	+
	70	+ useEffect(() => {
	71	+ fetchFacets(params.get("make") \|\| undefined, kind).then(setFacets).catch(() => {});
	72	+ }, [params.get("make"), kind]);
	73	+
	74	+ useEffect(() => {
	75	+ fetchStats()
	76	+ .then((s) => setHeroStats({ total: s.total, sources: s.sources, regions: s.regions }))
	77	+ .catch(() => {});
	78	+ }, []);
	79	+
	80	+ useEffect(() => {
	81	+ setLoading(true);
	82	+ fetchVehicles(query)
	83	+ .then((r) => { setVehicles(r.vehicles); setTotal(r.total); })
	84	+ .catch(() => { setVehicles([]); setTotal(0); })
	85	+ .finally(() => setLoading(false));
	86	+ }, [query]);
	87	+
	88	+ const setFilter = (key: string, value: string) => {
	89	+ const next = new URLSearchParams(params);
	90	+ if (value) next.set(key, value);
	91	+ else next.delete(key);
	92	+ if (key !== "page") next.delete("page");
	93	+ if (key === "make") next.delete("model"); // le modèle dépend de la marque
	94	+ setParams(next, { replace: false });
	95	+ };
	96	+
	97	+ const clearAll = () => setParams(new URLSearchParams(), { replace: false });
	98	+
	99	+ const years: number[] = [];
	100	+ const yb = facets?.years?.[0];
	101	+ if (yb?.y_min && yb?.y_max) {
	102	+ for (let y = yb.y_max; y >= yb.y_min; y--) years.push(y);
	103	+ }
	104	+
	105	+ return (
	106	+ <div className="container">
	107	+ <section className="hero">
	108	+ <span className="kicker">Agrégateur indépendant — direct des concessionnaires</span>
	109	+ <h1>
	110	+ {kind === "scooter" ? "Tous les " : "Toutes les "}
	111	+ <em>{KIND_COPY[kind]?.hero ?? "véhicules"}</em> à vendre au Québec.
	112	+ Un seul endroit.
	113	+ </h1>
	114	+ <p className="sub">{KIND_COPY[kind]?.sub}</p>
	115	+ {kind === "auto" && heroStats && (
	116	+ <div className="hero-stats">
	117	+ <div className="hstat"><b>{heroStats.total.toLocaleString("fr-CA")}</b> véhicules en vente</div>
	118	+ <div className="hstat"><b>{heroStats.sources}</b> concessionnaires</div>
	119	+ <div className="hstat"><b>{heroStats.regions}</b> régions couvertes</div>
	120	+ </div>
	121	+ )}
	122	+ </section>
	123	+
	124	+ <section className="filters" aria-label="Filtres de recherche">
	125	+ <div className="f-field full">
	126	+ <label htmlFor="f-q">Recherche</label>
	127	+ <input
	128	+ id="f-q"
	129	+ type="search"
	130	+ placeholder="Marque, modèle, concessionnaire, ville…"
	131	+ defaultValue={params.get("q") \|\| ""}
	132	+ onKeyDown={(e) => {
	133	+ if (e.key === "Enter") setFilter("q", (e.target as HTMLInputElement).value);
	134	+ }}
	135	+ />
	136	+ </div>
	137	+ <div className="f-field">
	138	+ <label htmlFor="f-make">Marque</label>
	139	+ <select id="f-make" value={params.get("make") \|\| ""} onChange={(e) => setFilter("make", e.target.value)}>
	140	+ <option value="">Toutes</option>
	141	+ {facets?.makes.map((m) => (
	142	+ <option key={m.make} value={m.make}>{m.make} ({m.n})</option>
	143	+ ))}
	144	+ </select>
	145	+ </div>
	146	+ <div className="f-field">
	147	+ <label htmlFor="f-model">Modèle</label>
	148	+ <select id="f-model" value={params.get("model") \|\| ""} onChange={(e) => setFilter("model", e.target.value)}>
	149	+ <option value="">Tous</option>
	150	+ {facets?.models.map((m) => (
	151	+ <option key={m.model} value={m.model}>{m.model} ({m.n})</option>
	152	+ ))}
	153	+ </select>
	154	+ </div>
	155	+ <div className="f-field">
	156	+ <label htmlFor="f-region">Région</label>
	157	+ <select id="f-region" value={params.get("region") \|\| ""} onChange={(e) => setFilter("region", e.target.value)}>
	158	+ <option value="">Toutes</option>
	159	+ {facets?.regions.map((r) => (
	160	+ <option key={r.region} value={r.region}>{r.region} ({r.n})</option>
	161	+ ))}
	162	+ </select>
	163	+ </div>
	164	+ <div className="f-field">
	165	+ <label htmlFor="f-body">Carrosserie</label>
	166	+ <select id="f-body" value={params.get("body") \|\| ""} onChange={(e) => setFilter("body", e.target.value)}>
	167	+ <option value="">Toutes</option>
	168	+ {facets?.body_types.map((b) => (
	169	+ <option key={b} value={b}>{b}</option>
	170	+ ))}
	171	+ </select>
	172	+ </div>
	173	+ <div className="f-field">
	174	+ <label htmlFor="f-fuel">Carburant</label>
	175	+ <select id="f-fuel" value={params.get("fuel") \|\| ""} onChange={(e) => setFilter("fuel", e.target.value)}>
	176	+ <option value="">Tous</option>
	177	+ {facets?.fuels.map((f) => (
	178	+ <option key={f} value={f}>{f}</option>
	179	+ ))}
	180	+ </select>
	181	+ </div>
	182	+ <div className="f-field">
	183	+ <label htmlFor="f-trans">Transmission</label>
	184	+ <select id="f-trans" value={params.get("trans") \|\| ""} onChange={(e) => setFilter("trans", e.target.value)}>
	185	+ <option value="">Toutes</option>
	186	+ <option value="Automatique">Automatique</option>
	187	+ <option value="Manuelle">Manuelle</option>
	188	+ </select>
	189	+ </div>
	190	+ <div className="f-field">
	191	+ <label htmlFor="f-ymin">Année min</label>
	192	+ <select id="f-ymin" value={params.get("ymin") \|\| ""} onChange={(e) => setFilter("ymin", e.target.value)}>
	193	+ <option value="">—</option>
	194	+ {years.map((y) => (
	195	+ <option key={y} value={y}>{y}</option>
	196	+ ))}
	197	+ </select>
	198	+ </div>
	199	+ <div className="f-field">
	200	+ <label htmlFor="f-pmax">Prix max</label>
	201	+ <select id="f-pmax" value={params.get("pmax") \|\| ""} onChange={(e) => setFilter("pmax", e.target.value)}>
	202	+ <option value="">—</option>
	203	+ {PRICE_STEPS.map((p) => (
	204	+ <option key={p} value={p}>{p.toLocaleString("fr-CA")} $</option>
	205	+ ))}
	206	+ </select>
	207	+ </div>
	208	+ <div className="f-field">
	209	+ <label htmlFor="f-kmax">KM max</label>
	210	+ <select id="f-kmax" value={params.get("kmax") \|\| ""} onChange={(e) => setFilter("kmax", e.target.value)}>
	211	+ <option value="">—</option>
	212	+ {KM_STEPS.map((k) => (
	213	+ <option key={k} value={k}>{k.toLocaleString("fr-CA")} km</option>
	214	+ ))}
	215	+ </select>
	216	+ </div>
	217	+ <div className="f-actions">
	218	+ <button className="btn ghost" onClick={clearAll}>Réinitialiser</button>
	219	+ </div>
	220	+ </section>
	221	+
	222	+ <div className="result-bar">
	223	+ <h2>
	224	+ <span className="count">{total.toLocaleString("fr-CA")}</span>{" "}
	225	+ véhicule{total !== 1 ? "s" : ""} trouvé{total !== 1 ? "s" : ""}
	226	+ </h2>
	227	+ <div className="sort-box">
	228	+ <label htmlFor="f-sort">Trier</label>
	229	+ <select id="f-sort" value={params.get("sort") \|\| "price_asc"} onChange={(e) => setFilter("sort", e.target.value)}>
	230	+ {SORTS.map((s) => (
	231	+ <option key={s.v} value={s.v}>{s.label}</option>
	232	+ ))}
	233	+ </select>
	234	+ </div>
	235	+ </div>
	236	+
	237	+ {loading ? (
	238	+ <div className="vgrid">
	239	+ {Array.from({ length: 8 }).map((_, i) => (
	240	+ <div key={i} className="skeleton" style={{ height: 360 }} />
	241	+ ))}
	242	+ </div>
	243	+ ) : vehicles.length === 0 ? (
	244	+ <div className="notice">
	245	+ <div className="big">🔍</div>
	246	+ <h2>Aucun véhicule ne correspond</h2>
	247	+ <p>Essayez d'élargir vos filtres — l'inventaire évolue chaque jour.</p>
	248	+ </div>
	249	+ ) : (
	250	+ <>
	251	+ <div className="vgrid">
	252	+ {vehicles.map((v) => (
	253	+ <VehicleCard key={v.uid} v={v} />
	254	+ ))}
	255	+ </div>
	256	+ {pages > 1 && (
	257	+ <div className="pager">
	258	+ <button
	259	+ className="btn ghost"
	260	+ disabled={page <= 1}
	261	+ onClick={() => { setFilter("page", String(page - 1)); window.scrollTo(0, 0); }}
	262	+ >
	263	+ ← Précédent
	264	+ </button>
	265	+ <span className="mono">page {page} / {pages}</span>
	266	+ <button
	267	+ className="btn ghost"
	268	+ disabled={page >= pages}
	269	+ onClick={() => { setFilter("page", String(page + 1)); window.scrollTo(0, 0); }}
	270	+ >
	271	+ Suivant →
	272	+ </button>
	273	+ </div>
	274	+ )}
	275	+ </>
	276	+ )}
	277	+ </div>
	278	+ );
	279	+}

added apps/auto/frontend/src/pages/Sources.tsx +66 −0

		`@@ -0,0 +1,66 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// Sources.tsx : registre des concessionnaires connectés
	5	+// -----------------------------------------------------------------------------
	6	+import { useEffect, useState } from "react";
	7	+import { Link } from "react-router-dom";
	8	+import { Source, fetchSources, fmtDate } from "../api";
	9	+
	10	+export default function SourcesPage() {
	11	+ const [sources, setSources] = useState<Source[]>([]);
	12	+
	13	+ useEffect(() => {
	14	+ fetchSources().then((r) => setSources(r.sources)).catch(() => {});
	15	+ }, []);
	16	+
	17	+ const actives = sources.filter((s) => s.active_listings > 0);
	18	+ const others = sources.filter((s) => s.active_listings === 0);
	19	+
	20	+ return (
	21	+ <div className="container page">
	22	+ <span className="kicker">Registre</span>
	23	+ <h1>Les concessionnaires connectés</h1>
	24	+ <p className="lead">
	25	+ Un connecteur dédié par commerce — Auto-Ka lit chaque site à la source
	26	+ (aucune plateforme d'annonces), normalise l'inventaire et le tient à jour.
	27	+ </p>
	28	+ <div className="src-grid">
	29	+ {actives
	30	+ .sort((a, b) => b.active_listings - a.active_listings)
	31	+ .map((s) => (
	32	+ <div key={s.id} className="src-card">
	33	+ <h3>{s.name}</h3>
	34	+ <div className="meta">
	35	+ {s.city}{s.region ? ` · ${s.region}` : ""}{s.platform ? ` · ${s.platform}` : ""}
	36	+ </div>
	37	+ <div className="n">{s.active_listings.toLocaleString("fr-CA")} véhicules</div>
	38	+ <div className="meta">dernière sync : {fmtDate(s.last_sync)}</div>
	39	+ <div style={{ display: "flex", gap: 10, marginTop: 6 }}>
	40	+ <Link className="mono" style={{ fontSize: 12, textDecoration: "underline" }} to={`/?source=${s.id}`}>
	41	+ voir l'inventaire
	42	+ </Link>
	43	+ <a className="mono" style={{ fontSize: 12, textDecoration: "underline" }} href={s.url} target="_blank" rel="noreferrer">
	44	+ site officiel ↗
	45	+ </a>
	46	+ </div>
	47	+ </div>
	48	+ ))}
	49	+ </div>
	50	+ {others.length > 0 && (
	51	+ <>
	52	+ <h2 style={{ margin: "36px 0 14px" }}>En attente de première synchronisation</h2>
	53	+ <div className="src-grid">
	54	+ {others.map((s) => (
	55	+ <div key={s.id} className="src-card" style={{ opacity: 0.65 }}>
	56	+ <h3>{s.name}</h3>
	57	+ <div className="meta">{s.city}{s.region ? ` · ${s.region}` : ""}</div>
	58	+ <div className="meta">{s.status \|\| "connecteur prêt"}</div>
	59	+ </div>
	60	+ ))}
	61	+ </div>
	62	+ </>
	63	+ )}
	64	+ </div>
	65	+ );
	66	+}

added apps/auto/frontend/src/pages/Stats.tsx +186 −0

		`@@ -0,0 +1,186 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// Stats.tsx : tableau de bord du marché — héros, distributions, classements,
	5	+// parts de marché, aubaines + rapport PDF téléchargeable.
	6	+// -----------------------------------------------------------------------------
	7	+import { useEffect, useState } from "react";
	8	+import { Link } from "react-router-dom";
	9	+import { API_BASE, fmtPrice } from "../api";
	10	+import { Datum, Donut, HBars, VBars } from "../components/Charts";
	11	+
	12	+interface Detailed {
	13	+ total: number;
	14	+ sources: number;
	15	+ regions: number;
	16	+ avg_price: number \| null;
	17	+ median_price: number \| null;
	18	+ avg_km: number \| null;
	19	+ median_km: number \| null;
	20	+ avg_year: number \| null;
	21	+ new_7d: number;
	22	+ electrified_pct: number;
	23	+ price_hist: Datum[];
	24	+ km_hist: Datum[];
	25	+ year_hist: Datum[];
	26	+ by_make: { label: string; n: number; avg_price: number \| null }[];
	27	+ by_region: { label: string; n: number; avg_price: number \| null }[];
	28	+ by_body: Datum[];
	29	+ by_fuel: Datum[];
	30	+ top_models: { label: string; n: number; avg_price: number \| null; avg_km: number \| null }[];
	31	+ top_dealers: { label: string; n: number; avg_price: number \| null }[];
	32	+ price_drops: {
	33	+ uid: string; title: string; year: number \| null; price: number;
	34	+ prev_price: number; dealer_name: string; city: string;
	35	+ }[];
	36	+}
	37	+
	38	+const fmtK = (n: number \| null) =>
	39	+ n == null ? "—" : `${Math.round(n / 1000)}k km`;
	40	+
	41	+export default function StatsPage() {
	42	+ const [s, setS] = useState<Detailed \| null>(null);
	43	+
	44	+ useEffect(() => {
	45	+ fetch(`${API_BASE}/api/stats/detailed`)
	46	+ .then((r) => r.json())
	47	+ .then(setS)
	48	+ .catch(() => {});
	49	+ }, []);
	50	+
	51	+ if (!s)
	52	+ return (
	53	+ <div className="container page">
	54	+ <div className="skeleton" style={{ height: 120, marginBottom: 20 }} />
	55	+ <div className="skeleton" style={{ height: 340 }} />
	56	+ </div>
	57	+ );
	58	+
	59	+ const withPrice = (rows: { label: string; n: number; avg_price: number \| null }[]): Datum[] =>
	60	+ rows.map((r) => ({
	61	+ label: r.label, n: r.n,
	62	+ extra: r.avg_price ? `moy. ${fmtPrice(r.avg_price)}` : undefined,
	63	+ }));
	64	+
	65	+ return (
	66	+ <div className="container page">
	67	+ <div className="stats-head">
	68	+ <div>
	69	+ <span className="kicker">Marché</span>
	70	+ <h1>Le marché de l'occasion, en direct</h1>
	71	+ <p className="lead" style={{ marginBottom: 0 }}>
	72	+ Calculé en temps réel sur l'inventaire actif de {s.sources} concessionnaires
	73	+ dans {s.regions} régions du Québec.
	74	+ </p>
	75	+ </div>
	76	+ <a className="btn pdf-btn" href={`${API_BASE}/api/stats/rapport.pdf`}>
	77	+ ⬇ Télécharger le rapport PDF
	78	+ </a>
	79	+ </div>
	80	+
	81	+ <div className="stat-grid" style={{ marginTop: 26 }}>
	82	+ <div className="stat-tile hero-tile">
	83	+ <b>{s.total.toLocaleString("fr-CA")}</b>
	84	+ <span>véhicules en vente</span>
	85	+ </div>
	86	+ <div className="stat-tile">
	87	+ <b>{fmtPrice(s.avg_price)}</b>
	88	+ <span>prix moyen</span>
	89	+ </div>
	90	+ <div className="stat-tile">
	91	+ <b>{fmtPrice(s.median_price)}</b>
	92	+ <span>prix médian</span>
	93	+ </div>
	94	+ <div className="stat-tile">
	95	+ <b>{fmtK(s.avg_km)}</b>
	96	+ <span>km moyen</span>
	97	+ </div>
	98	+ <div className="stat-tile">
	99	+ <b>{s.new_7d.toLocaleString("fr-CA")}</b>
	100	+ <span>arrivages · 7 jours</span>
	101	+ </div>
	102	+ <div className="stat-tile">
	103	+ <b>{s.electrified_pct} %</b>
	104	+ <span>électrifiés (VÉ + hybrides)</span>
	105	+ </div>
	106	+ </div>
	107	+
	108	+ <div className="panel">
	109	+ <h3>💰 Distribution des prix</h3>
	110	+ <VBars data={s.price_hist} color="#d94f1e" />
	111	+ </div>
	112	+
	113	+ <div className="vd-cols">
	114	+ <div className="panel">
	115	+ <h3>🛣 Kilométrage (milliers de km)</h3>
	116	+ <VBars data={s.km_hist} color="#1f6fb5" height={170} />
	117	+ </div>
	118	+ <div className="panel">
	119	+ <h3>📅 Années-modèles</h3>
	120	+ <VBars data={s.year_hist} color="#b58500" height={170} />
	121	+ </div>
	122	+ </div>
	123	+
	124	+ <div className="vd-cols">
	125	+ <div className="panel">
	126	+ <h3>🏷 Top marques</h3>
	127	+ <HBars data={withPrice(s.by_make)} color="#d94f1e" />
	128	+ </div>
	129	+ <div className="panel">
	130	+ <h3>📍 Par région</h3>
	131	+ <HBars data={withPrice(s.by_region)} color="#1f6fb5" />
	132	+ </div>
	133	+ </div>
	134	+
	135	+ <div className="vd-cols">
	136	+ <div className="panel">
	137	+ <h3>🚙 Carrosseries</h3>
	138	+ <Donut data={s.by_body} />
	139	+ </div>
	140	+ <div className="panel">
	141	+ <h3>⛽ Carburants</h3>
	142	+ <Donut data={s.by_fuel} />
	143	+ </div>
	144	+ </div>
	145	+
	146	+ <div className="panel">
	147	+ <h3>🚗 Modèles les plus offerts</h3>
	148	+ <HBars
	149	+ data={s.top_models.map((m) => ({
	150	+ label: m.label, n: m.n,
	151	+ extra: `moy. ${fmtPrice(m.avg_price)} · ${fmtK(m.avg_km)}`,
	152	+ }))}
	153	+ color="#1c7a4d"
	154	+ />
	155	+ </div>
	156	+
	157	+ {s.price_drops.length > 0 && (
	158	+ <section style={{ margin: "30px 0" }}>
	159	+ <h2 style={{ marginBottom: 14 }}>📉 Baisses de prix récentes</h2>
	160	+ <div className="src-grid">
	161	+ {s.price_drops.map((d) => (
	162	+ <Link key={d.uid} to={`/vehicule/${encodeURIComponent(d.uid)}`} className="src-card">
	163	+ <h3>{d.title}</h3>
	164	+ <div className="meta">{d.dealer_name} · {d.city}</div>
	165	+ <div className="n">
	166	+ {fmtPrice(d.price)}{" "}
	167	+ <span style={{ fontSize: 13, color: "var(--ink-3)", textDecoration: "line-through" }}>
	168	+ {fmtPrice(d.prev_price)}
	169	+ </span>
	170	+ </div>
	171	+ <div className="meta" style={{ color: "var(--good)", fontWeight: 700 }}>
	172	+ −{fmtPrice(d.prev_price - d.price)}
	173	+ </div>
	174	+ </Link>
	175	+ ))}
	176	+ </div>
	177	+ </section>
	178	+ )}
	179	+
	180	+ <div className="panel">
	181	+ <h3>🏢 Plus grands inventaires</h3>
	182	+ <HBars data={withPrice(s.top_dealers)} color="#7d4fc9" />
	183	+ </div>
	184	+ </div>
	185	+ );
	186	+}

added apps/auto/frontend/src/pages/Vehicle.tsx +210 −0

		`@@ -0,0 +1,210 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// Vehicle.tsx : fiche véhicule — galerie, specs, historique de prix, similaires
	5	+// -----------------------------------------------------------------------------
	6	+import { useEffect, useState } from "react";
	7	+import { Link, useParams } from "react-router-dom";
	8	+import { VehicleDetail, fetchVehicle, fmtDate, fmtKm, fmtPrice } from "../api";
	9	+import VehicleCard from "../components/VehicleCard";
	10	+
	11	+export default function VehiclePage() {
	12	+ const { uid } = useParams<{ uid: string }>();
	13	+ const [v, setV] = useState<VehicleDetail \| null>(null);
	14	+ const [error, setError] = useState(false);
	15	+ const [img, setImg] = useState(0);
	16	+
	17	+ useEffect(() => {
	18	+ setV(null); setError(false); setImg(0);
	19	+ if (uid) fetchVehicle(uid).then(setV).catch(() => setError(true));
	20	+ window.scrollTo(0, 0);
	21	+ }, [uid]);
	22	+
	23	+ if (error)
	24	+ return (
	25	+ <div className="notice container">
	26	+ <div className="big">🚗</div>
	27	+ <h2>Véhicule introuvable</h2>
	28	+ <p>Il a peut-être été vendu — l'inventaire évolue chaque jour.</p>
	29	+ <p><Link to="/" className="btn ghost">← Retour à la recherche</Link></p>
	30	+ </div>
	31	+ );
	32	+
	33	+ if (!v)
	34	+ return (
	35	+ <div className="container vdetail">
	36	+ <div className="skeleton" style={{ height: 60, marginBottom: 20 }} />
	37	+ <div className="vd-cols">
	38	+ <div className="skeleton" style={{ height: 460 }} />
	39	+ <div className="skeleton" style={{ height: 460 }} />
	40	+ </div>
	41	+ </div>
	42	+ );
	43	+
	44	+ const prevPrice = v.price_history.find(
	45	+ (h) => h.price != null && v.price != null && h.price !== v.price
	46	+ )?.price;
	47	+
	48	+ const specs: [string, string][] = [
	49	+ ["Année", v.year ? String(v.year) : "—"],
	50	+ ["Kilométrage", fmtKm(v.mileage_km)],
	51	+ ["Transmission", v.transmission \|\| "—"],
	52	+ ["Carburant", v.fuel \|\| "—"],
	53	+ ["Motricité", v.drivetrain \|\| "—"],
	54	+ ["Carrosserie", v.body_type \|\| "—"],
	55	+ ["Moteur", v.engine \|\| "—"],
	56	+ ["Couleur ext.", v.exterior_color \|\| "—"],
	57	+ ["Couleur int.", v.interior_color \|\| "—"],
	58	+ ["Portes", v.doors ? String(v.doors) : "—"],
	59	+ ["Places", v.seats ? String(v.seats) : "—"],
	60	+ ["NIV (VIN)", v.vin \|\| "—"],
	61	+ ["No de stock", v.stock_number \|\| "—"],
	62	+ ].filter(([, val]) => val !== "—") as [string, string][];
	63	+
	64	+ return (
	65	+ <div className="container vdetail">
	66	+ <p style={{ marginTop: 0 }}>
	67	+ <Link to="/" className="mono" style={{ fontSize: 12 }}>← Retour à la recherche</Link>
	68	+ </p>
	69	+ <div className="vd-head">
	70	+ <div>
	71	+ <span className="kicker">{v.dealer_name \|\| v.source} — {v.city}{v.region ? ` · ${v.region}` : ""}</span>
	72	+ <h1>{v.title}</h1>
	73	+ </div>
	74	+ <div className="vd-price">
	75	+ <div className="p">{fmtPrice(v.price)}</div>
	76	+ {prevPrice != null && v.price != null && prevPrice > v.price && (
	77	+ <div className="was">{fmtPrice(prevPrice)}</div>
	78	+ )}
	79	+ </div>
	80	+ </div>
	81	+
	82	+ <div className="vd-cols">
	83	+ <div>
	84	+ <div className="gallery">
	85	+ <div className="main">
	86	+ {v.images.length > 0 ? (
	87	+ <a href={v.images[img]} target="_blank" rel="noreferrer">
	88	+ <img src={v.images[img]} alt={v.title} />
	89	+ </a>
	90	+ ) : (
	91	+ <div className="nopic" style={{ display: "grid", placeItems: "center", height: "100%", fontSize: 60 }}>🚗</div>
	92	+ )}
	93	+ </div>
	94	+ {v.images.length > 1 && (
	95	+ <div className="thumbs">
	96	+ {v.images.map((u, i) => (
	97	+ <img
	98	+ key={u}
	99	+ src={u}
	100	+ alt={`photo ${i + 1}`}
	101	+ loading="lazy"
	102	+ className={i === img ? "sel" : ""}
	103	+ onClick={() => setImg(i)}
	104	+ />
	105	+ ))}
	106	+ </div>
	107	+ )}
	108	+ </div>
	109	+
	110	+ {v.description && (
	111	+ <div className="panel" style={{ marginTop: 18 }}>
	112	+ <h3>📝 Description du concessionnaire</h3>
	113	+ <div className="desc">{v.description}</div>
	114	+ </div>
	115	+ )}
	116	+ </div>
	117	+
	118	+ <div>
	119	+ <div className="panel">
	120	+ <h3>🔧 Caractéristiques</h3>
	121	+ <table className="spec-table">
	122	+ <tbody>
	123	+ {specs.map(([k, val]) => (
	124	+ <tr key={k}>
	125	+ <td>{k}</td>
	126	+ <td>{val}</td>
	127	+ </tr>
	128	+ ))}
	129	+ </tbody>
	130	+ </table>
	131	+ <a className="cta-source" href={v.url} target="_blank" rel="noreferrer">
	132	+ Voir chez {v.dealer_name \|\| "le concessionnaire"} →
	133	+ </a>
	134	+ {v.carfax_url && (
	135	+ <a
	136	+ className="cta-source"
	137	+ style={{ background: "var(--surface)", color: "var(--ink)", marginTop: 10 }}
	138	+ href={v.carfax_url}
	139	+ target="_blank"
	140	+ rel="noreferrer"
	141	+ >
	142	+ 📋 Rapport Carfax
	143	+ </a>
	144	+ )}
	145	+ <div className="cta-note">
	146	+ annonce originale — prix et disponibilité confirmés à la source
	147	+ </div>
	148	+ </div>
	149	+
	150	+ {v.features.length > 0 && (
	151	+ <div className="panel">
	152	+ <h3>✨ Équipements ({v.features.length})</h3>
	153	+ <div className="feat-list">
	154	+ {v.features.map((f) => (
	155	+ <span key={f} className="spec-chip">{f}</span>
	156	+ ))}
	157	+ </div>
	158	+ </div>
	159	+ )}
	160	+
	161	+ {v.price_history.length > 1 && (
	162	+ <div className="panel">
	163	+ <h3>📉 Historique de prix</h3>
	164	+ <div className="price-history">
	165	+ {v.price_history.map((h, i) => {
	166	+ const next = v.price_history[i + 1];
	167	+ const dir =
	168	+ next?.price != null && h.price != null
	169	+ ? h.price < next.price ? "down" : h.price > next.price ? "up" : ""
	170	+ : "";
	171	+ return (
	172	+ <div key={h.ts} className="row">
	173	+ <span>{fmtDate(h.ts)}</span>
	174	+ <span className={dir}>{fmtPrice(h.price)}</span>
	175	+ </div>
	176	+ );
	177	+ })}
	178	+ </div>
	179	+ </div>
	180	+ )}
	181	+
	182	+ <div className="panel">
	183	+ <h3>ℹ️ Suivi Auto-Ka</h3>
	184	+ <table className="spec-table">
	185	+ <tbody>
	186	+ <tr><td>Repéré le</td><td>{fmtDate(v.first_seen)}</td></tr>
	187	+ <tr><td>Vérifié le</td><td>{fmtDate(v.updated_at)}</td></tr>
	188	+ <tr><td>Statut</td><td>{v.active ? "En vente" : "Retiré / vendu"}</td></tr>
	189	+ </tbody>
	190	+ </table>
	191	+ </div>
	192	+ </div>
	193	+ </div>
	194	+
	195	+ {v.similar.length > 0 && (
	196	+ <section style={{ marginTop: 40 }}>
	197	+ <span className="kicker">Comparer</span>
	198	+ <h2 style={{ margin: "8px 0 18px" }}>
	199	+ {v.make} {v.model} similaires au Québec
	200	+ </h2>
	201	+ <div className="vgrid">
	202	+ {v.similar.map((s) => (
	203	+ <VehicleCard key={s.uid} v={s} />
	204	+ ))}
	205	+ </div>
	206	+ </section>
	207	+ )}
	208	+ </div>
	209	+ );
	210	+}

added apps/auto/frontend/src/styles.css +456 −0

		`@@ -0,0 +1,456 @@`
	1	+/* -----------------------------------------------------------------------------
	2	+ Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+ Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+ styles.css : système de design « éditorial sharp » — thème clair
	5	+ · Typo display Space Grotesk / texte Inter / micro-étiquettes JetBrains Mono
	6	+ · Signature : bordures encre + ombres décalées (néo-brutalisme raffiné)
	7	+ · Accent orange racing #ff5a2a sur encre charbon
	8	+----------------------------------------------------------------------------- */
	9	+:root {
	10	+ --paper: #f4f2ec;
	11	+ --surface: #ffffff;
	12	+ --surface-2: #faf8f4;
	13	+ --ink: #17181c;
	14	+ --ink-2: #4c4f57;
	15	+ --ink-3: #8b8e96;
	16	+ --line: rgba(23, 24, 28, 0.14);
	17	+ --line-strong: rgba(23, 24, 28, 0.85);
	18	+ --accent: #ff5a2a;
	19	+ --accent-deep: #cc3f16;
	20	+ --accent-soft: #ffe8de;
	21	+ --good: #1c7a4d;
	22	+ --good-soft: #e2f4e9;
	23	+ --amber: #e8a33d;
	24	+ --amber-soft: #fdf3e2;
	25	+ --danger: #b3423a;
	26	+ --r-card: 10px;
	27	+ --r-ctl: 6px;
	28	+ --shadow-flat: 0 1px 2px rgba(23, 24, 28, 0.05);
	29	+ --shadow-off: 6px 6px 0 var(--ink);
	30	+ --shadow-off-soft: 8px 8px 0 rgba(23, 24, 28, 0.08);
	31	+ --font-display: "Space Grotesk", system-ui, sans-serif;
	32	+ --font-body: "Inter", system-ui, sans-serif;
	33	+ --font-mono: "JetBrains Mono", ui-monospace, monospace;
	34	+}
	35	+
	36	+* { box-sizing: border-box; }
	37	+html { scroll-behavior: smooth; }
	38	+body {
	39	+ margin: 0;
	40	+ background: var(--paper);
	41	+ color: var(--ink);
	42	+ font-family: var(--font-body);
	43	+ font-size: 15px;
	44	+ line-height: 1.55;
	45	+ -webkit-font-smoothing: antialiased;
	46	+ padding-bottom: env(safe-area-inset-bottom);
	47	+}
	48	+/* grain subtil — texture signature */
	49	+body::before {
	50	+ content: "";
	51	+ position: fixed; inset: 0; z-index: 0; pointer-events: none; opacity: 0.35;
	52	+ background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='120' height='120'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='2'/%3E%3CfeColorMatrix values='0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.02 0'/%3E%3C/filter%3E%3Crect width='120' height='120' filter='url(%23n)'/%3E%3C/svg%3E");
	53	+}
	54	+#root { position: relative; z-index: 1; }
	55	+
	56	+h1, h2, h3, h4 { font-family: var(--font-display); letter-spacing: -0.03em; margin: 0; }
	57	+a { color: inherit; text-decoration: none; }
	58	+button { font-family: inherit; }
	59	+img { display: block; }
	60	+::selection { background: var(--accent); color: #fff; }
	61	+
	62	+.mono { font-family: var(--font-mono); }
	63	+.kicker {
	64	+ font-family: var(--font-mono); font-size: 11.5px; font-weight: 500;
	65	+ text-transform: uppercase; letter-spacing: 0.14em; color: var(--accent-deep);
	66	+ display: inline-flex; align-items: center; gap: 8px;
	67	+}
	68	+.kicker::before { content: ""; width: 22px; height: 2px; background: var(--accent); }
	69	+
	70	+.container { max-width: 1280px; margin: 0 auto; padding: 0 24px; }
	71	+@media (max-width: 640px) { .container { padding: 0 16px; } }
	72	+
	73	+/* ================= Header ================= */
	74	+.header {
	75	+ position: sticky; top: 0; z-index: 50;
	76	+ background: rgba(244, 242, 236, 0.88);
	77	+ backdrop-filter: blur(14px); -webkit-backdrop-filter: blur(14px);
	78	+ border-bottom: 2px solid var(--ink);
	79	+}
	80	+.header-inner { display: flex; align-items: center; gap: 20px; height: 64px; }
	81	+.brand {
	82	+ font-family: var(--font-display); font-weight: 700; font-size: 26px;
	83	+ letter-spacing: -0.04em; display: flex; align-items: center; line-height: 1;
	84	+}
	85	+.brand .ka {
	86	+ background: var(--ink); color: var(--accent); padding: 2px 7px 4px;
	87	+ border-radius: 6px; margin-left: 3px; transform: rotate(-2deg);
	88	+ transition: transform 0.2s ease;
	89	+}
	90	+.brand:hover .ka { transform: rotate(0deg); }
	91	+.brand-tag {
	92	+ font-family: var(--font-mono); font-size: 10.5px; color: var(--ink-3);
	93	+ letter-spacing: 0.08em; text-transform: uppercase; margin-left: 12px;
	94	+}
	95	+@media (max-width: 860px) { .brand-tag { display: none; } }
	96	+.nav { margin-left: auto; display: flex; gap: 4px; }
	97	+.nav a {
	98	+ padding: 9px 16px; border-radius: 999px; font-weight: 600; font-size: 14px;
	99	+ color: var(--ink-2); border: 1.5px solid transparent;
	100	+ transition: all 0.15s ease; min-height: 40px; display: inline-flex; align-items: center;
	101	+}
	102	+.nav a:hover { border-color: var(--ink); color: var(--ink); }
	103	+.nav a.active { background: var(--ink); color: var(--accent); }
	104	+@media (max-width: 640px) {
	105	+ .nav a { padding: 8px 11px; font-size: 13px; }
	106	+}
	107	+
	108	+/* ================= Ticker ================= */
	109	+.ticker {
	110	+ background: var(--ink); color: var(--accent); overflow: hidden;
	111	+ font-family: var(--font-mono); font-size: 11.5px; letter-spacing: 0.1em;
	112	+ text-transform: uppercase; padding: 7px 0; white-space: nowrap;
	113	+ border-bottom: 1px solid rgba(255, 90, 42, 0.25);
	114	+}
	115	+.ticker-track { display: inline-flex; gap: 0; animation: ticker 40s linear infinite; will-change: transform; }
	116	+.ticker span { padding: 0 26px; position: relative; }
	117	+.ticker span::after { content: "◆"; position: absolute; right: -6px; opacity: 0.5; font-size: 8px; top: 3px; }
	118	+@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }
	119	+@media (prefers-reduced-motion: reduce) {
	120	+ .ticker-track { animation: none; }
	121	+ * { transition-duration: 0.01ms !important; }
	122	+}
	123	+
	124	+/* ================= Hero ================= */
	125	+.hero { padding: 46px 0 8px; }
	126	+.hero h1 {
	127	+ font-size: clamp(30px, 5vw, 52px); font-weight: 700; line-height: 1.04;
	128	+ max-width: 820px;
	129	+}
	130	+.hero h1 em { font-style: normal; color: var(--accent-deep); position: relative; }
	131	+.hero p.sub {
	132	+ margin: 14px 0 0; color: var(--ink-2); font-size: 16.5px; max-width: 640px;
	133	+}
	134	+.hero-stats { display: flex; gap: 28px; margin-top: 22px; flex-wrap: wrap; }
	135	+.hstat { font-family: var(--font-mono); font-size: 12px; color: var(--ink-2); }
	136	+.hstat b { display: block; font-family: var(--font-display); font-size: 26px; color: var(--ink); letter-spacing: -0.02em; }
	137	+
	138	+/* ================= Filtres ================= */
	139	+.filters {
	140	+ background: var(--surface); border: 2px solid var(--ink);
	141	+ border-radius: var(--r-card); box-shadow: var(--shadow-off);
	142	+ padding: 16px; margin: 26px 0 8px;
	143	+ display: grid; gap: 10px;
	144	+ grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
	145	+}
	146	+.filters .full { grid-column: 1 / -1; }
	147	+.f-field { display: flex; flex-direction: column; gap: 4px; }
	148	+.f-field label {
	149	+ font-family: var(--font-mono); font-size: 10px; text-transform: uppercase;
	150	+ letter-spacing: 0.12em; color: var(--ink-3); font-weight: 600;
	151	+}
	152	+.f-field select, .f-field input {
	153	+ border: 1.5px solid var(--line-strong); border-radius: var(--r-ctl);
	154	+ background: var(--surface); font: inherit; font-size: 14px;
	155	+ padding: 9px 10px; min-height: 40px; color: var(--ink);
	156	+}
	157	+.f-field select:focus, .f-field input:focus {
	158	+ outline: 2px solid var(--accent); outline-offset: 1px;
	159	+}
	160	+.f-actions { display: flex; align-items: flex-end; gap: 8px; }
	161	+.btn {
	162	+ font-family: var(--font-display); font-weight: 600; font-size: 14.5px;
	163	+ border: 2px solid var(--ink); border-radius: var(--r-ctl);
	164	+ background: var(--ink); color: #fff; cursor: pointer;
	165	+ padding: 9px 18px; min-height: 40px;
	166	+ transition: transform 0.12s ease, box-shadow 0.12s ease;
	167	+}
	168	+.btn:hover { transform: translate(-2px, -2px); box-shadow: 4px 4px 0 var(--accent); }
	169	+.btn.ghost { background: transparent; color: var(--ink); }
	170	+.btn.ghost:hover { box-shadow: 4px 4px 0 var(--ink); }
	171	+
	172	+.result-bar {
	173	+ display: flex; align-items: center; gap: 14px; margin: 22px 0 14px; flex-wrap: wrap;
	174	+}
	175	+.result-bar h2 { font-size: 20px; }
	176	+.result-bar .count { color: var(--accent-deep); }
	177	+.sort-box { margin-left: auto; display: flex; align-items: center; gap: 8px; }
	178	+.sort-box label { font-family: var(--font-mono); font-size: 11px; text-transform: uppercase; color: var(--ink-3); }
	179	+.sort-box select {
	180	+ border: 1.5px solid var(--line-strong); border-radius: var(--r-ctl);
	181	+ background: var(--surface); font: inherit; font-size: 13.5px; padding: 7px 9px;
	182	+}
	183	+
	184	+/* ================= Grille véhicules ================= */
	185	+.vgrid {
	186	+ display: grid; gap: 22px;
	187	+ grid-template-columns: repeat(auto-fill, minmax(285px, 1fr));
	188	+ padding-bottom: 30px;
	189	+}
	190	+.vcard {
	191	+ background: var(--surface); border: 2px solid var(--ink);
	192	+ border-radius: var(--r-card); overflow: hidden; position: relative;
	193	+ display: flex; flex-direction: column;
	194	+ transition: transform 0.15s ease, box-shadow 0.15s ease;
	195	+ box-shadow: var(--shadow-flat);
	196	+}
	197	+.vcard:hover { transform: translate(-3px, -3px); box-shadow: var(--shadow-off); }
	198	+.vcard .photo {
	199	+ aspect-ratio: 4 / 3; background: var(--surface-2); position: relative; overflow: hidden;
	200	+}
	201	+.vcard .photo img { width: 100%; height: 100%; object-fit: cover; }
	202	+.vcard .photo .nopic {
	203	+ position: absolute; inset: 0; display: grid; place-items: center;
	204	+ color: var(--ink-3); font-size: 40px;
	205	+}
	206	+.vcard .year-chip {
	207	+ position: absolute; top: 10px; left: 10px;
	208	+ background: var(--ink); color: #fff; font-family: var(--font-mono);
	209	+ font-size: 11.5px; font-weight: 600; padding: 3px 9px; border-radius: 999px;
	210	+}
	211	+.vcard .drop-chip {
	212	+ position: absolute; top: 10px; right: 10px;
	213	+ background: var(--good); color: #fff; font-family: var(--font-mono);
	214	+ font-size: 10.5px; font-weight: 600; padding: 3px 9px; border-radius: 999px;
	215	+}
	216	+.vcard .body { padding: 14px 16px 16px; display: flex; flex-direction: column; gap: 8px; flex: 1; }
	217	+.vcard h3 { font-size: 16.5px; line-height: 1.25; }
	218	+.vcard .price {
	219	+ font-family: var(--font-display); font-weight: 700; font-size: 21px;
	220	+ color: var(--accent-deep); letter-spacing: -0.02em;
	221	+}
	222	+.vcard .price small { font-size: 12px; color: var(--ink-3); font-weight: 500; }
	223	+.vcard .specs {
	224	+ display: flex; flex-wrap: wrap; gap: 6px;
	225	+}
	226	+.spec-chip {
	227	+ font-family: var(--font-mono); font-size: 10.5px;
	228	+ background: var(--surface-2); border: 1px solid var(--line);
	229	+ padding: 3px 8px; border-radius: 999px; color: var(--ink-2);
	230	+}
	231	+.vcard .foot {
	232	+ margin-top: auto; padding-top: 10px; border-top: 1px dashed var(--line);
	233	+ font-size: 12px; color: var(--ink-3);
	234	+ display: flex; justify-content: space-between; gap: 8px;
	235	+}
	236	+
	237	+/* ================= Pagination ================= */
	238	+.pager { display: flex; justify-content: center; gap: 10px; padding: 8px 0 46px; align-items: center; }
	239	+.pager .mono { font-size: 12px; color: var(--ink-2); }
	240	+
	241	+/* ================= Fiche véhicule ================= */
	242	+.vdetail { padding: 34px 0 60px; }
	243	+.vd-head { display: flex; align-items: flex-start; gap: 16px; flex-wrap: wrap; margin-bottom: 20px; }
	244	+.vd-head h1 { font-size: clamp(24px, 3.6vw, 38px); line-height: 1.1; max-width: 760px; }
	245	+.vd-price {
	246	+ margin-left: auto; text-align: right;
	247	+}
	248	+.vd-price .p {
	249	+ font-family: var(--font-display); font-weight: 700; font-size: 34px;
	250	+ color: var(--accent-deep); letter-spacing: -0.02em;
	251	+}
	252	+.vd-price .was { font-size: 14px; color: var(--ink-3); text-decoration: line-through; }
	253	+.vd-cols { display: grid; grid-template-columns: minmax(0, 1.6fr) minmax(280px, 1fr); gap: 28px; }
	254	+@media (max-width: 900px) { .vd-cols { grid-template-columns: 1fr; } }
	255	+
	256	+.gallery { border: 2px solid var(--ink); border-radius: var(--r-card); overflow: hidden; background: var(--surface); }
	257	+.gallery .main { aspect-ratio: 4 / 3; background: var(--surface-2); }
	258	+.gallery .main img { width: 100%; height: 100%; object-fit: cover; cursor: zoom-in; }
	259	+.gallery .thumbs {
	260	+ display: flex; gap: 6px; padding: 8px; overflow-x: auto; border-top: 2px solid var(--ink);
	261	+ background: var(--surface-2);
	262	+}
	263	+.gallery .thumbs img {
	264	+ width: 84px; height: 60px; object-fit: cover; border-radius: 4px;
	265	+ cursor: pointer; border: 2px solid transparent; flex: 0 0 auto;
	266	+}
	267	+.gallery .thumbs img.sel { border-color: var(--accent); }
	268	+
	269	+.panel {
	270	+ background: var(--surface); border: 2px solid var(--ink);
	271	+ border-radius: var(--r-card); box-shadow: var(--shadow-off-soft);
	272	+ padding: 18px 20px; margin-bottom: 18px;
	273	+}
	274	+.panel h3 { font-size: 15px; margin-bottom: 12px; display: flex; align-items: center; gap: 8px; }
	275	+.spec-table { width: 100%; border-collapse: collapse; font-size: 14px; }
	276	+.spec-table td { padding: 7px 0; border-bottom: 1px dashed var(--line); }
	277	+.spec-table td:first-child { color: var(--ink-3); font-family: var(--font-mono); font-size: 12px; text-transform: uppercase; letter-spacing: 0.06em; }
	278	+.spec-table td:last-child { text-align: right; font-weight: 600; }
	279	+.spec-table tr:last-child td { border-bottom: none; }
	280	+
	281	+.cta-source {
	282	+ display: block; text-align: center; font-family: var(--font-display);
	283	+ font-weight: 700; font-size: 16px; background: var(--accent); color: #fff;
	284	+ border: 2px solid var(--ink); border-radius: var(--r-ctl);
	285	+ padding: 13px 18px; margin-top: 4px;
	286	+ transition: transform 0.12s ease, box-shadow 0.12s ease;
	287	+}
	288	+.cta-source:hover { transform: translate(-2px, -2px); box-shadow: 4px 4px 0 var(--ink); }
	289	+.cta-note { font-size: 11.5px; color: var(--ink-3); text-align: center; margin-top: 8px; font-family: var(--font-mono); }
	290	+
	291	+.desc { white-space: pre-line; color: var(--ink-2); font-size: 14.5px; }
	292	+.feat-list {
	293	+ display: flex; flex-wrap: wrap; gap: 6px; max-height: 340px; overflow-y: auto;
	294	+}
	295	+.price-history { font-size: 13px; }
	296	+.price-history .row { display: flex; justify-content: space-between; padding: 6px 0; border-bottom: 1px dashed var(--line); }
	297	+.price-history .down { color: var(--good); font-weight: 700; }
	298	+.price-history .up { color: var(--danger); font-weight: 700; }
	299	+
	300	+/* ================= Sections / pages annexes ================= */
	301	+.page { padding: 40px 0 70px; }
	302	+.page h1 { font-size: clamp(26px, 4vw, 40px); margin-bottom: 8px; }
	303	+.page .lead { color: var(--ink-2); max-width: 640px; margin-bottom: 28px; }
	304	+
	305	+.src-grid { display: grid; gap: 14px; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); }
	306	+.src-card {
	307	+ background: var(--surface); border: 2px solid var(--ink); border-radius: var(--r-card);
	308	+ padding: 16px 18px; display: flex; flex-direction: column; gap: 6px;
	309	+ transition: transform 0.14s ease, box-shadow 0.14s ease; box-shadow: var(--shadow-flat);
	310	+}
	311	+.src-card:hover { transform: translate(-2px, -2px); box-shadow: var(--shadow-off); }
	312	+.src-card h3 { font-size: 16px; }
	313	+.src-card .meta { font-family: var(--font-mono); font-size: 11px; color: var(--ink-3); }
	314	+.src-card .n { font-family: var(--font-display); font-weight: 700; font-size: 22px; color: var(--accent-deep); }
	315	+
	316	+.stat-grid { display: grid; gap: 16px; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); margin-bottom: 30px; }
	317	+.stat-tile {
	318	+ background: var(--surface); border: 2px solid var(--ink); border-radius: var(--r-card);
	319	+ padding: 18px; box-shadow: var(--shadow-off-soft);
	320	+}
	321	+.stat-tile b { display: block; font-family: var(--font-display); font-size: 30px; letter-spacing: -0.02em; }
	322	+.stat-tile span { font-family: var(--font-mono); font-size: 11px; text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3); }
	323	+
	324	+.bar-row { display: flex; align-items: center; gap: 10px; margin: 7px 0; font-size: 13.5px; }
	325	+.bar-row .lbl { width: 170px; flex: 0 0 auto; white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }
	326	+.bar-row .bar { height: 16px; background: var(--accent); border: 1.5px solid var(--ink); border-radius: 3px; min-width: 2px; }
	327	+.bar-row .val { font-family: var(--font-mono); font-size: 11.5px; color: var(--ink-2); }
	328	+
	329	+/* ================= Graphiques (Charts.tsx) ================= */
	330	+.stats-head { display: flex; align-items: flex-end; gap: 20px; flex-wrap: wrap; }
	331	+.pdf-btn { margin-left: auto; background: var(--accent); border-color: var(--ink); font-size: 15px; }
	332	+.pdf-btn:hover { box-shadow: 4px 4px 0 var(--ink); }
	333	+.stat-tile.hero-tile b { color: var(--accent-deep); }
	334	+
	335	+.chart-wrap { position: relative; }
	336	+.chart { width: 100%; height: auto; display: block; }
	337	+.chart .mark { transition: opacity 0.12s ease; cursor: default; }
	338	+.chart .mark:hover { opacity: 0.75; }
	339	+.c-val { font-family: var(--font-mono); font-size: 11px; font-weight: 600; fill: var(--ink); }
	340	+.c-lbl { font-family: var(--font-mono); font-size: 10px; fill: var(--ink-3); }
	341	+.c-cat { font-size: 12px; font-weight: 600; fill: var(--ink-2); }
	342	+.donut-total { font-family: var(--font-display); font-size: 22px; font-weight: 700; fill: var(--ink); }
	343	+
	344	+.chart-tip {
	345	+ position: absolute; transform: translate(-50%, -100%); pointer-events: none;
	346	+ background: var(--ink); color: #fff; font-size: 12.5px; line-height: 1.35;
	347	+ padding: 6px 10px; border-radius: 6px; white-space: nowrap; z-index: 5;
	348	+ box-shadow: 0 4px 14px rgba(23,24,28,0.25);
	349	+}
	350	+.chart-tip b { color: var(--accent); }
	351	+
	352	+.donut-wrap { display: grid; grid-template-columns: 220px 1fr; gap: 14px; align-items: center; }
	353	+.donut-wrap .chart-data { grid-column: 1 / -1; }
	354	+@media (max-width: 560px) { .donut-wrap { grid-template-columns: 1fr; } }
	355	+.donut-legend { display: flex; flex-direction: column; gap: 6px; }
	356	+.dl-row { display: flex; align-items: center; gap: 8px; font-size: 13.5px; }
	357	+.dl-swatch { width: 13px; height: 13px; border-radius: 3px; border: 1px solid rgba(23,24,28,0.3); flex: 0 0 auto; }
	358	+.dl-name { flex: 1; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }
	359	+.dl-val { font-family: var(--font-mono); font-size: 12px; color: var(--ink-2); }
	360	+
	361	+.chart-data { margin-top: 10px; font-size: 12.5px; }
	362	+.chart-data summary {
	363	+ cursor: pointer; font-family: var(--font-mono); font-size: 11px;
	364	+ text-transform: uppercase; letter-spacing: 0.08em; color: var(--ink-3);
	365	+}
	366	+.chart-data table { width: 100%; border-collapse: collapse; margin-top: 8px; }
	367	+.chart-data th, .chart-data td {
	368	+ text-align: left; padding: 4px 8px; border-bottom: 1px dashed var(--line);
	369	+}
	370	+.chart-data th { font-family: var(--font-mono); font-size: 10.5px; text-transform: uppercase; color: var(--ink-3); }
	371	+
	372	+/* ================= Cartes véhicules — raffinements ================= */
	373	+.vcard .photo img { transition: transform 0.35s ease; }
	374	+.vcard:hover .photo img { transform: scale(1.04); }
	375	+
	376	+/* ================= Adaptatif téléphone ================= */
	377	+@media (max-width: 640px) {
	378	+ .hero { padding: 30px 0 4px; }
	379	+ .hero p.sub { font-size: 15px; }
	380	+ .hero-stats { gap: 18px; margin-top: 16px; }
	381	+ .hstat b { font-size: 21px; }
	382	+
	383	+ /* filtres : 2 colonnes compactes, recherche et actions pleine largeur */
	384	+ .filters {
	385	+ grid-template-columns: repeat(2, minmax(0, 1fr));
	386	+ padding: 12px; gap: 8px;
	387	+ box-shadow: 4px 4px 0 var(--ink);
	388	+ }
	389	+ .f-actions { grid-column: 1 / -1; }
	390	+ .f-actions .btn { width: 100%; }
	391	+ .f-field select, .f-field input { font-size: 16px; } /* évite le zoom iOS */
	392	+
	393	+ .result-bar { gap: 8px; margin: 16px 0 12px; }
	394	+ .result-bar h2 { font-size: 17px; }
	395	+ .sort-box { margin-left: 0; width: 100%; }
	396	+ .sort-box select { flex: 1; }
	397	+
	398	+ .vgrid { gap: 14px; grid-template-columns: 1fr; }
	399	+ .vcard:hover { transform: none; box-shadow: var(--shadow-flat); }
	400	+
	401	+ /* fiche véhicule : entête et prix empilés */
	402	+ .vdetail { padding: 20px 0 40px; }
	403	+ .vd-head { flex-direction: column; gap: 8px; }
	404	+ .vd-head h1 { font-size: 23px; }
	405	+ .vd-price { margin-left: 0; text-align: left; }
	406	+ .vd-price .p { font-size: 28px; }
	407	+ .gallery .thumbs img { width: 68px; height: 50px; }
	408	+ .panel { padding: 14px 14px; }
	409	+ .spec-table td:last-child { word-break: break-all; } /* VIN longs */
	410	+ .desc { font-size: 14px; }
	411	+ .feat-list { max-height: 260px; }
	412	+
	413	+ /* stats : bouton PDF pleine largeur, tuiles 2 colonnes */
	414	+ .stats-head { flex-direction: column; align-items: stretch; }
	415	+ .pdf-btn { margin-left: 0; text-align: center; }
	416	+ .stat-grid { grid-template-columns: repeat(2, minmax(0, 1fr)); gap: 10px; }
	417	+ .stat-tile { padding: 13px; }
	418	+ .stat-tile b { font-size: 22px; }
	419	+
	420	+ /* graphiques : défilement horizontal plutôt que texte illisible */
	421	+ .chart-wrap { overflow-x: auto; -webkit-overflow-scrolling: touch; }
	422	+ .chart.vbars { min-width: 540px; }
	423	+ .chart.hbars { min-width: 460px; }
	424	+ .donut-wrap { overflow-x: visible; }
	425	+
	426	+ .src-grid { grid-template-columns: 1fr; }
	427	+ .page { padding: 26px 0 50px; }
	428	+}
	429	+
	430	+@media (max-width: 400px) {
	431	+ .brand { font-size: 22px; }
	432	+ .nav a { padding: 7px 9px; font-size: 12.5px; }
	433	+ .header-inner { gap: 8px; }
	434	+}
	435	+
	436	+.notice { text-align: center; padding: 90px 20px; }
	437	+.notice .big { font-size: 52px; margin-bottom: 12px; }
	438	+.notice p { color: var(--ink-2); }
	439	+
	440	+.skeleton {
	441	+ background: linear-gradient(100deg, var(--surface-2) 40%, #fff 50%, var(--surface-2) 60%);
	442	+ background-size: 200% 100%; animation: sk 1.4s infinite;
	443	+ border-radius: var(--r-card); border: 2px solid var(--line);
	444	+}
	445	+@keyframes sk { from { background-position: 130% 0; } to { background-position: -30% 0; } }
	446	+
	447	+/* ================= Footer ================= */
	448	+.footer {
	449	+ background: var(--ink); color: #c9cbd1; margin-top: 30px;
	450	+ padding: 42px 0 30px; border-top: 3px solid var(--accent);
	451	+}
	452	+.fbrand { font-family: var(--font-display); font-weight: 700; font-size: 24px; color: #fff; margin-bottom: 14px; }
	453	+.fbrand .ka { background: var(--accent); color: var(--ink); padding: 1px 6px 3px; border-radius: 5px; margin-left: 2px; display: inline-block; transform: rotate(-2deg); }
	454	+.frow { font-size: 13.5px; max-width: 560px; line-height: 1.6; }
	455	+.fmono { font-family: var(--font-mono); font-size: 11px; color: #82858d; margin-top: 22px; }
	456	+.fmono a { text-decoration: underline; }

added apps/auto/frontend/src/vite-env.d.ts +1 −0

		`@@ -0,0 +1 @@`
	1	+/// <reference types="vite/client" />

added apps/auto/frontend/tsconfig.json +20 −0

		`@@ -0,0 +1,20 @@`
	1	+{
	2	+ "compilerOptions": {
	3	+ "target": "ES2020",
	4	+ "useDefineForClassFields": true,
	5	+ "lib": ["ES2020", "DOM", "DOM.Iterable"],
	6	+ "module": "ESNext",
	7	+ "skipLibCheck": true,
	8	+ "moduleResolution": "bundler",
	9	+ "allowImportingTsExtensions": true,
	10	+ "resolveJsonModule": true,
	11	+ "isolatedModules": true,
	12	+ "noEmit": true,
	13	+ "jsx": "react-jsx",
	14	+ "strict": true,
	15	+ "noUnusedLocals": false,
	16	+ "noUnusedParameters": false,
	17	+ "noFallthroughCasesInSwitch": true
	18	+ },
	19	+ "include": ["src"]
	20	+}

added apps/auto/frontend/tsconfig.tsbuildinfo +1 −0

		`@@ -0,0 +1 @@`
	1	+{"root":["./src/app.tsx","./src/api.ts","./src/main.tsx","./src/vite-env.d.ts","./src/components/charts.tsx","./src/components/vehiclecard.tsx","./src/pages/home.tsx","./src/pages/sources.tsx","./src/pages/stats.tsx","./src/pages/vehicle.tsx"],"version":"5.9.3"}
		\ No newline at end of file

added apps/auto/frontend/vite.config.ts +16 −0

		`@@ -0,0 +1,16 @@`
	1	+// -----------------------------------------------------------------------------
	2	+// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)
	3	+// Auteur : Simon-Pierre Boucher — contact@spboucher.ai
	4	+// -----------------------------------------------------------------------------
	5	+import react from "@vitejs/plugin-react";
	6	+import { defineConfig } from "vite";
	7	+
	8	+export default defineConfig({
	9	+ base: "/auto/",
	10	+ plugins: [react()],
	11	+ server: {
	12	+ proxy: {
	13	+ "/api": "http://localhost:8080",
	14	+ },
	15	+ },
	16	+});

added apps/fabri/data/stores.json +6154 −0

		`@@ -0,0 +1,108144 @@`
	1	+{
	2	+ "generated": "2026-08-12",
	3	+ "count": 3224,
	4	+ "stores": [
	5	+ {
	6	+ "id": "1001fondues.com",
	7	+ "name": "1001 Fondues",
	8	+ "url": "https://1001fondues.com",
	9	+ "platform": "woocommerce",
	10	+ "catalog_endpoint": "/wp-json/wc/store/v1/products",
	11	+ "city": "",
	12	+ "region": "",
	13	+ "postal_prefix": "G2K",
	14	+ "phone": "418 829-0177",
	15	+ "origin_class": "A",
	16	+ "origin_confidence": 0.95,
	17	+ "origin_evidence": "Fromagerie recensée par Fromages d'ici (fabrication au Québec)",
	18	+ "categories": [
	19	+ "fromage_laitier"
	20	+ ],
	21	+ "socials": [
	22	+ "https://www.facebook.com/fromagesdici",
	23	+ "https://www.youtube.com/channel/UCxSGDuWDPFOvNy7xP_LylcA",
	24	+ "https://www.instagram.com/fromages.dici/",
	25	+ "https://www.pinterest.ca/fromagesdici/"
	26	+ ],
	27	+ "discovery_sources": [
	28	+ "fromagesdici"
	29	+ ],
	30	+ "discovery_source_urls": [
	31	+ "https://www.fromagesdici.com/fr/fromageries/1001-fondues"
	32	+ ],
	33	+ "language": "fr",
	34	+ "ecommerce": true,
	35	+ "verification_date": "2026-08-12",
	36	+ "status": "verified",
	37	+ "enabled": true
	38	+ },
	39	+ {
	40	+ "id": "1001perles.ca",
	41	+ "name": "1001 perles",
	42	+ "url": "https://1001perles.ca",
	43	+ "platform": "shopify",
	44	+ "catalog_endpoint": "/products.json",
	45	+ "city": "",
	46	+ "region": "Montérégie",
	47	+ "postal_prefix": "J3X",
	48	+ "phone": "514 847-9799",
	49	+ "origin_class": "A",
	50	+ "origin_confidence": 0.9,
	51	+ "origin_evidence": "Entreprise adhérente à la certification Les Produits du Québec (fabrication/conception vérifiée au Québec) ; le site affiche une mention de fabrication québécoise",
	52	+ "categories": [],
	53	+ "socials": [
	54	+ "https://www.facebook.com/lesproduitsduqc",
	55	+ "https://www.linkedin.com/company/les-produits-du-qu%C3%A9bec/",
	56	+ "https://www.youtube.com/@lesproduitsduquebec",
	57	+ "https://www.instagram.com/lesproduitsduqc/"
	58	+ ],
	59	+ "discovery_sources": [
	60	+ "lesproduitsduquebec_ent"
	61	+ ],
	62	+ "discovery_source_urls": [
	63	+ "https://lesproduitsduquebec.com/entreprises-adherentes/1001-perles"
	64	+ ],
	65	+ "language": "en",
	66	+ "ecommerce": true,
	67	+ "verification_date": "2026-08-12",
	68	+ "status": "verified",
	69	+ "enabled": true
	70	+ },
	71	+ {
	72	+ "id": "123crepes.ca",
	73	+ "name": "123 crêpes inc",
	74	+ "url": "https://123crepes.ca",
	75	+ "platform": "",
	76	+ "catalog_endpoint": "",
	77	+ "city": "",
	78	+ "region": "Montréal",
	79	+ "postal_prefix": "H1Z",
	80	+ "phone": "5147819750",
	81	+ "origin_class": "A",
	82	+ "origin_confidence": 0.85,
	83	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	84	+ "categories": [
	85	+ "epicerie"
	86	+ ],
	87	+ "socials": [
	88	+ "https://www.facebook.com/alimentsduquebec",
	89	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	90	+ "https://www.youtube.com/@alimentsduquebec918",
	91	+ "https://www.tiktok.com/@alimentsqc"
	92	+ ],
	93	+ "discovery_sources": [
	94	+ "alimentsduquebec_ent"
	95	+ ],
	96	+ "discovery_source_urls": [
	97	+ "https://alimentsduquebec.com/entreprises/123-crepes-inc"
	98	+ ],
	99	+ "language": "fr",
	100	+ "ecommerce": false,
	101	+ "verification_date": "2026-08-12",
	102	+ "status": "verified",
	103	+ "enabled": false
	104	+ },
	105	+ {
	106	+ "id": "13arpents.com",
	107	+ "name": "Aux 13 Arpents - Goûtez-y!",
	108	+ "url": "https://www.13arpents.com",
	109	+ "platform": "wix",
	110	+ "catalog_endpoint": "/_api/wix-ecommerce-storefront-web/api",
	111	+ "city": "",
	112	+ "region": "Centre-du-Québec",
	113	+ "postal_prefix": "G0P",
	114	+ "phone": "(819) 293-7769",
	115	+ "origin_class": "A",
	116	+ "origin_confidence": 0.85,
	117	+ "origin_evidence": "Entreprise membre de Goûtez-y! (agroalimentaire Centre-du-Québec)",
	118	+ "categories": [
	119	+ "epicerie"
	120	+ ],
	121	+ "socials": [
	122	+ "https://www.facebook.com/NotreCentreDuQuebecGoutezY",
	123	+ "https://www.instagram.com/goutez_y/",
	124	+ "https://www.youtube.com/@goutezy/",
	125	+ "https://www.facebook.com/Aux13arpents"
	126	+ ],
	127	+ "discovery_sources": [
	128	+ "goutezy"
	129	+ ],
	130	+ "discovery_source_urls": [
	131	+ "https://goutezy.com/entreprise/aux-13-arpents/"
	132	+ ],
	133	+ "language": null,
	134	+ "ecommerce": true,
	135	+ "verification_date": "2026-08-12",
	136	+ "status": "verified",
	137	+ "enabled": true
	138	+ },
	139	+ {
	140	+ "id": "1555marchepublic.com",
	141	+ "name": "Marché de Noël de Saint-Hyacinthe",
	142	+ "url": "https://1555marchepublic.com",
	143	+ "platform": "wordpress",
	144	+ "catalog_endpoint": "",
	145	+ "city": "",
	146	+ "region": "Montérégie",
	147	+ "postal_prefix": "J2S",
	148	+ "phone": null,
	149	+ "origin_class": "E",
	150	+ "origin_confidence": 0.4,
	151	+ "origin_evidence": "Lien trouvé sur la fiche d'un marché public québécois (AMPQ) — nature du lien à vérifier",
	152	+ "categories": [],
	153	+ "socials": [
	154	+ "https://www.facebook.com/1555marchepublic",
	155	+ "https://www.instagram.com/1555marchepublic/",
	156	+ "https://www.facebook.com/marchespublicsqc",
	157	+ "https://www.linkedin.com/company/marches-publics-du-quebec/"
	158	+ ],
	159	+ "discovery_sources": [
	160	+ "marchespublics"
	161	+ ],
	162	+ "discovery_source_urls": [
	163	+ "https://www.marchespublicsduquebec.ca/marches-publics/le-1555-marche-public-de-saint-hyacinthe/"
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	408	+ },
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	471	+ },
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	531	+ ],
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	534	+ ],
	535	+ "discovery_source_urls": [
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	537	+ ],
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	543	+ },
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	577	+ },
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	603	+ ],
	604	+ "discovery_source_urls": [
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	607	+ ],
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	613	+ },
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	631	+ "https://www.youtube.com/@lesproduitsduquebec",
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	636	+ ],
	637	+ "discovery_source_urls": [
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	639	+ ],
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	644	+ "enabled": true
	645	+ },
	646	+ {
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	666	+ "https://www.tiktok.com/@alimentsqc"
	667	+ ],
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	670	+ ],
	671	+ "discovery_source_urls": [
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	673	+ ],
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	2149	+ "origin_confidence": 0.6,
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	2151	+ "categories": [
	2152	+ "epicerie"
	2153	+ ],
	2154	+ "socials": [
	2155	+ "https://www.facebook.com/zoneboreale",
	2156	+ "https://www.instagram.com/zone_boreale/",
	2157	+ "https://www.youtube.com/channel/UCcc5klSXSkqU3lkiE5nizeA",
	2158	+ "https://www.linkedin.com/company/table-agroalimentaire-du-saguenay-lac-saint-jean/"
	2159	+ ],
	2160	+ "discovery_sources": [
	2161	+ "zoneboreale"
	2162	+ ],
	2163	+ "discovery_source_urls": [
	2164	+ "https://zoneboreale.com/entreprises/aliments-fabbrica/"
	2165	+ ],
	2166	+ "language": "fr",
	2167	+ "ecommerce": true,
	2168	+ "verification_date": "2026-08-12",
	2169	+ "status": "probable",
	2170	+ "enabled": true
	2171	+ },
	2172	+ {
	2173	+ "id": "alimentsmeretmonde.com",
	2174	+ "name": "Aliments Mer & Monde",
	2175	+ "url": "https://alimentsmeretmonde.com",
	2176	+ "platform": "woocommerce",
	2177	+ "catalog_endpoint": "",
	2178	+ "city": "",
	2179	+ "region": "Lanaudière",
	2180	+ "postal_prefix": "J5Z",
	2181	+ "phone": null,
	2182	+ "origin_class": "A",
	2183	+ "origin_confidence": 0.85,
	2184	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2185	+ "categories": [
	2186	+ "epicerie"
	2187	+ ],
	2188	+ "socials": [
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	2190	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2191	+ "https://www.youtube.com/@alimentsduquebec918",
	2192	+ "https://www.tiktok.com/@alimentsqc"
	2193	+ ],
	2194	+ "discovery_sources": [
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	2196	+ ],
	2197	+ "discovery_source_urls": [
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	2199	+ ],
	2200	+ "language": "en",
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	2203	+ "status": "verified",
	2204	+ "enabled": false
	2205	+ },
	2206	+ {
	2207	+ "id": "alimentsparador.com",
	2208	+ "name": "Les Aliments Parador Inc.",
	2209	+ "url": "https://alimentsparador.com",
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	2211	+ "catalog_endpoint": "",
	2212	+ "city": "",
	2213	+ "region": "Laurentides",
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	2215	+ "phone": "450 430-7751",
	2216	+ "origin_class": "A",
	2217	+ "origin_confidence": 0.85,
	2218	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2219	+ "categories": [
	2220	+ "epicerie"
	2221	+ ],
	2222	+ "socials": [
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	2224	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2225	+ "https://www.youtube.com/@alimentsduquebec918",
	2226	+ "https://www.tiktok.com/@alimentsqc"
	2227	+ ],
	2228	+ "discovery_sources": [
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	2230	+ "laurentidesjenmange"
	2231	+ ],
	2232	+ "discovery_source_urls": [
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	2238	+ "verification_date": "2026-08-12",
	2239	+ "status": "verified",
	2240	+ "enabled": false
	2241	+ },
	2242	+ {
	2243	+ "id": "alimentspaysanne.com",
	2244	+ "name": "Les Aliments Fondue Paysanne",
	2245	+ "url": "https://alimentspaysanne.com",
	2246	+ "platform": "",
	2247	+ "catalog_endpoint": "",
	2248	+ "city": "",
	2249	+ "region": "Chaudière-Appalaches",
	2250	+ "postal_prefix": "G7A",
	2251	+ "phone": null,
	2252	+ "origin_class": "A",
	2253	+ "origin_confidence": 0.6,
	2254	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec) ; aucun signal de localisation québécoise détecté sur le site (à vérifier)",
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	2257	+ ],
	2258	+ "socials": [
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	2261	+ "https://www.youtube.com/@alimentsduquebec918",
	2262	+ "https://www.tiktok.com/@alimentsqc"
	2263	+ ],
	2264	+ "discovery_sources": [
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	2266	+ ],
	2267	+ "discovery_source_urls": [
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	2273	+ "status": "probable",
	2274	+ "enabled": false
	2275	+ },
	2276	+ {
	2277	+ "id": "alimentsroma.com",
	2278	+ "name": "Aliments Roma Food Products Ltd",
	2279	+ "url": "https://alimentsroma.com",
	2280	+ "platform": "",
	2281	+ "catalog_endpoint": "",
	2282	+ "city": "",
	2283	+ "region": "Montréal",
	2284	+ "postal_prefix": "H4N",
	2285	+ "phone": null,
	2286	+ "origin_class": "A",
	2287	+ "origin_confidence": 0.9,
	2288	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec) ; le site affiche une mention de fabrication québécoise",
	2289	+ "categories": [
	2290	+ "epicerie"
	2291	+ ],
	2292	+ "socials": [
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	2294	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2295	+ "https://www.youtube.com/@alimentsduquebec918",
	2296	+ "https://www.tiktok.com/@alimentsqc"
	2297	+ ],
	2298	+ "discovery_sources": [
	2299	+ "alimentsduquebec_ent"
	2300	+ ],
	2301	+ "discovery_source_urls": [
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	2303	+ ],
	2304	+ "language": "fr",
	2305	+ "ecommerce": false,
	2306	+ "verification_date": "2026-08-12",
	2307	+ "status": "verified",
	2308	+ "enabled": false
	2309	+ },
	2310	+ {
	2311	+ "id": "alimentstristan.com",
	2312	+ "name": "Aliments Tristan",
	2313	+ "url": "https://alimentstristan.com",
	2314	+ "platform": "shopify",
	2315	+ "catalog_endpoint": "/products.json",
	2316	+ "city": "",
	2317	+ "region": "Centre-du-Québec",
	2318	+ "postal_prefix": "J2B",
	2319	+ "phone": null,
	2320	+ "origin_class": "A",
	2321	+ "origin_confidence": 0.85,
	2322	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2323	+ "categories": [
	2324	+ "epicerie"
	2325	+ ],
	2326	+ "socials": [
	2327	+ "https://www.facebook.com/alimentsduquebec",
	2328	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2329	+ "https://www.youtube.com/@alimentsduquebec918",
	2330	+ "https://www.tiktok.com/@alimentsqc"
	2331	+ ],
	2332	+ "discovery_sources": [
	2333	+ "alimentsduquebec_ent"
	2334	+ ],
	2335	+ "discovery_source_urls": [
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	2337	+ ],
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	2339	+ "ecommerce": true,
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	2342	+ "enabled": true
	2343	+ },
	2344	+ {
	2345	+ "id": "alimenttradition.com",
	2346	+ "name": "Aliment tradition",
	2347	+ "url": "https://www.alimenttradition.com",
	2348	+ "platform": "wix",
	2349	+ "catalog_endpoint": "/_api/wix-ecommerce-storefront-web/api",
	2350	+ "city": "",
	2351	+ "region": "Laurentides",
	2352	+ "postal_prefix": "J5N",
	2353	+ "phone": "450-478-4581",
	2354	+ "origin_class": "A",
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	2356	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2357	+ "categories": [
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	2359	+ ],
	2360	+ "socials": [
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	2362	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2363	+ "https://www.youtube.com/@alimentsduquebec918",
	2364	+ "https://www.tiktok.com/@alimentsqc"
	2365	+ ],
	2366	+ "discovery_sources": [
	2367	+ "alimentsduquebec_ent"
	2368	+ ],
	2369	+ "discovery_source_urls": [
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	2371	+ ],
	2372	+ "language": "fr",
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	2375	+ "status": "verified",
	2376	+ "enabled": true
	2377	+ },
	2378	+ {
	2379	+ "id": "alimexi.com",
	2380	+ "name": "Les Aliments ALIMEXI Foods, Inc.",
	2381	+ "url": "https://www.alimexi.com",
	2382	+ "platform": "",
	2383	+ "catalog_endpoint": "",
	2384	+ "city": "",
	2385	+ "region": "Montréal",
	2386	+ "postal_prefix": "H9P",
	2387	+ "phone": "(514) 400-4759",
	2388	+ "origin_class": "A",
	2389	+ "origin_confidence": 0.85,
	2390	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2391	+ "categories": [
	2392	+ "epicerie"
	2393	+ ],
	2394	+ "socials": [
	2395	+ "https://www.facebook.com/alimentsduquebec",
	2396	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2397	+ "https://www.youtube.com/@alimentsduquebec918",
	2398	+ "https://www.tiktok.com/@alimentsqc"
	2399	+ ],
	2400	+ "discovery_sources": [
	2401	+ "alimentsduquebec_ent"
	2402	+ ],
	2403	+ "discovery_source_urls": [
	2404	+ "https://alimentsduquebec.com/entreprises/les-aliments-alimexi-foods-inc"
	2405	+ ],
	2406	+ "language": null,
	2407	+ "ecommerce": false,
	2408	+ "verification_date": "2026-08-12",
	2409	+ "status": "verified",
	2410	+ "enabled": false
	2411	+ },
	2412	+ {
	2413	+ "id": "allosimonne.com",
	2414	+ "name": "Allo Simonne",
	2415	+ "url": "https://allosimonne.com",
	2416	+ "platform": "shopify",
	2417	+ "catalog_endpoint": "/products.json",
	2418	+ "city": "",
	2419	+ "region": "Montréal",
	2420	+ "postal_prefix": "H2G",
	2421	+ "phone": null,
	2422	+ "origin_class": "A",
	2423	+ "origin_confidence": 0.85,
	2424	+ "origin_evidence": "Entreprise adhérente Aliments du Québec (produits alimentaires préparés/cultivés au Québec)",
	2425	+ "categories": [
	2426	+ "epicerie"
	2427	+ ],
	2428	+ "socials": [
	2429	+ "https://www.facebook.com/alimentsduquebec",
	2430	+ "https://www.instagram.com/alimentsqc/?hl=fr",
	2431	+ "https://www.youtube.com/@alimentsduquebec918",
	2432	+ "https://www.tiktok.com/@alimentsqc"
	2433	+ ],
	2434	+ "discovery_sources": [
	2435	+ "alimentsduquebec_ent",
	2436	+ "icq_resolved",
	2437	+ "search_sweep_vendors"
	2438	+ ],
	2439	+ "discovery_source_urls": [
	2440	+ "https://alimentsduquebec.com/entreprises/allo-simonne",
	2441	+ "https://www.ideecadeauquebec.com/boutique/allosimonne/",
	2442	+ "direct domain guess allosimonne.com, verified via WebFetch"
	2443	+ ],
	2444	+ "language": "en",
	2445	+ "ecommerce": true,
	2446	+ "verification_date": "2026-08-12",
	2447	+ "status": "verified",
	2448	+ "enabled": true
	2449	+ },
	2450	+ {
	2451	+ "id": "alma.alapero.ca",
	2452	+ "name": "À l’Apéro Alma",
	2453	+ "url": "https://alma.alapero.ca",
	2454	+ "platform": "",
	2455	+ "catalog_endpoint": "",
	2456	+ "city": "",
	2457	+ "region": "Saguenay–Lac-Saint-Jean",
	2458	+ "postal_prefix": "G8B",
	2459	+ "phone": "418 719-6383",
	2460	+ "origin_class": "A",
	2461	+ "origin_confidence": 0.85,
	2462	+ "origin_evidence": "Entreprise membre de Zone Boréale (agroalimentaire Saguenay–Lac-Saint-Jean)",
	2463	+ "categories": [
	2464	+ "epicerie"
	2465	+ ],
	2466	+ "socials": [
	2467	+ "https://www.facebook.com/zoneboreale",
	2468	+ "https://www.instagram.com/zone_boreale/",
	2469	+ "https://www.youtube.com/channel/UCcc5klSXSkqU3lkiE5nizeA",
	2470	+ "https://www.linkedin.com/company/table-agroalimentaire-du-saguenay-lac-saint-jean/"
	2471	+ ],
	2472	+ "discovery_sources": [
	2473	+ "zoneboreale"
	2474	+ ],
	2475	+ "discovery_source_urls": [
	2476	+ "https://zoneboreale.com/entreprises/a-lapero-alma/"
	2477	+ ],
	2478	+ "language": "fr",
	2479	+ "ecommerce": true,
	2480	+ "verification_date": "2026-08-12",
	2481	+ "status": "verified",
	2482	+ "enabled": false
	2483	+ },
	2484	+ {
	2485	+ "id": "almaxcanada.com",
	2486	+ "name": "Almax Canada",
	2487	+ "url": "https://www.almaxcanada.com",
	2488	+ "platform": "",
	2489	+ "catalog_endpoint": "",
	2490	+ "city": "",
	2491	+ "region": "",
	2492	+ "postal_prefix": "H8N",
	2493	+ "phone": "514 762-5629",
	2494	+ "origin_class": "A",
	2495	+ "origin_confidence": 0.5,
	2496	+ "origin_evidence": "Manufacturier québécois trouvé par balayage manufacturier ciblé",
	2497	+ "categories": [
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	2499	+ ],
	2500	+ "socials": [],
	2501	+ "discovery_sources": [
	2502	+ "search_sweep_manuf"
	2503	+ ],
	2504	+ "discovery_source_urls": [
	2505	+ "fabricant québécois escaliers rampes aluminium boutique en ligne"
	2506	+ ],
	2507	+ "language": "fr",
	2508	+ "ecommerce": false,
	2509	+ "verification_date": "2026-08-12",
	2510	+ "status": "probable",
	2511	+ "enabled": false
	2512	+ },
	2513	+ {
	2514	+ "id": "aloreedeschamps.com",
	2515	+ "name": "ÉCONOMUSÉE® de la charcutière d’agneau",
	2516	+ "url": "https://www.aloreedeschamps.com",
	2517	+ "platform": "",
	2518	+ "catalog_endpoint": "",
	2519	+ "city": "",
	2520	+ "region": "Saguenay–Lac-Saint-Jean",
	2521	+ "postal_prefix": "G0W",
	2522	+ "phone": "418 669 3038",
	2523	+ "origin_class": "A",
	2524	+ "origin_confidence": 0.9,
	2525	+ "origin_evidence": "Artisan certifié du réseau Économusée / Artisans à l'œuvre (production artisanale sur place)",
	2526	+ "categories": [
	2527	+ "art"
	2528	+ ],
	2529	+ "socials": [
	2530	+ "https://www.facebook.com/Artisansaloeuvre",
	2531	+ "https://www.instagram.com/artisansaloeuvreqc/",
	2532	+ "https://www.youtube.com/@artisansaloeuvre",
	2533	+ "https://www.linkedin.com/company/societe-du-reseau-economusee/"
	2534	+ ],
	2535	+ "discovery_sources": [
	2536	+ "artisansaloeuvre",
	2537	+ "zoneboreale"
	2538	+ ],
	2539	+ "discovery_source_urls": [
	2540	+ "https://artisansaloeuvre.com/artisans/economusee-de-la-charcutiere-dagneau/",
	2541	+ "https://zoneboreale.com/entreprises/a-loree-des-champs/"
	2542	+ ],
	2543	+ "language": "fr",
	2544	+ "ecommerce": false,
	2545	+ "verification_date": "2026-08-12",
	2546	+ "status": "verified",
	2547	+ "enabled": false
	2548	+ },
	2549	+ {
	2550	+ "id": "alpagabersi.ca",
	2551	+ "name": "Alpaga Bersi",
	2552	+ "url": "https://alpagabersi.ca",
	2553	+ "platform": "woocommerce",
	2554	+ "catalog_endpoint": "/wp-json/wc/store/v1/products",
	2555	+ "city": "",
	2556	+ "region": "Saguenay–Lac-Saint-Jean",
	2557	+ "postal_prefix": "G7H",
	2558	+ "phone": "418 690-0896",
	2559	+ "origin_class": "A",
	2560	+ "origin_confidence": 0.85,
	2561	+ "origin_evidence": "Entreprise membre de Zone Boréale (agroalimentaire Saguenay–Lac-Saint-Jean)",
	2562	+ "categories": [
	2563	+ "epicerie"
	2564	+ ],
	2565	+ "socials": [
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	2567	+ "https://www.instagram.com/zone_boreale/",
	2568	+ "https://www.youtube.com/channel/UCcc5klSXSkqU3lkiE5nizeA",
	2569	+ "https://www.linkedin.com/company/table-agroalimentaire-du-saguenay-lac-saint-jean/"
	2570	+ ],
	2571	+ "discovery_sources": [
	2572	+ "zoneboreale"
	2573	+ ],
	2574	+ "discovery_source_urls": [
	2575	+ "https://zoneboreale.com/entreprises/alpaga-bersi/"
	2576	+ ],
	2577	+ "language": "fr",
	2578	+ "ecommerce": true,
	2579	+ "verification_date": "2026-08-12",
	2580	+ "status": "verified",
	2581	+ "enabled": true
	2582	+ },
	2583	+ {
	2584	+ "id": "alpagadore.com",
	2585	+ "name": "AlpagAdore",
	2586	+ "url": "https://alpagadore.com",
	2587	+ "platform": "",
	2588	+ "catalog_endpoint": "",
	2589	+ "city": "",
	2590	+ "region": "Montérégie",
	2591	+ "postal_prefix": "J0S",
	2592	+ "phone": "514 847-9799",
	2593	+ "origin_class": "A",
	2594	+ "origin_confidence": 0.9,
	2595	+ "origin_evidence": "Entreprise adhérente à la certification Les Produits du Québec (fabrication/conception vérifiée au Québec) ; le site affiche une mention de fabrication québécoise",
	2596	+ "categories": [],
	2597	+ "socials": [
	2598	+ "https://www.facebook.com/lesproduitsduqc",
	2599	+ "https://www.linkedin.com/company/les-produits-du-qu%C3%A9bec/",
	2600	+ "https://www.youtube.com/@lesproduitsduquebec",
	2601	+ "https://www.instagram.com/lesproduitsduqc/"
	2602	+ ],
	2603	+ "discovery_sources": [
	2604	+ "lesproduitsduquebec_ent"
	2605	+ ],
	2606	+ "discovery_source_urls": [
	2607	+ "https://lesproduitsduquebec.com/entreprises-adherentes/alpagadore"
	2608	+ ],
	2609	+ "language": "fr",
	2610	+ "ecommerce": true,
	2611	+ "verification_date": "2026-08-12",
	2612	+ "status": "verified",
	2613	+ "enabled": false
	2614	+ },
	2615	+ {
	2616	+ "id": "alpagaselect.ca",
	2617	+ "name": "Alpagaselect - CMAQ",
	2618	+ "url": "https://www.alpagaselect.ca",
	2619	+ "platform": "woocommerce",
	2620	+ "catalog_endpoint": "/wp-json/wc/store/v1/products",
	2621	+ "city": "",
	2622	+ "region": "",
	2623	+ "postal_prefix": "G6J",
	2624	+ "phone": "514 847-9799",
	2625	+ "origin_class": "A",
	2626	+ "origin_confidence": 0.85,
	2627	+ "origin_evidence": "Entreprise adhérente à la certification Les Produits du Québec (fabrication/conception vérifiée au Québec)",
	2628	+ "categories": [
	2629	+ "art"
	2630	+ ],
	2631	+ "socials": [
	2632	+ "https://www.facebook.com/lesproduitsduqc",
	2633	+ "https://www.linkedin.com/company/les-produits-du-qu%C3%A9bec/",
	2634	+ "https://www.youtube.com/@lesproduitsduquebec",
	2635	+ "https://www.instagram.com/lesproduitsduqc/"
	2636	+ ],
	2637	+ "discovery_sources": [
	2638	+ "lesproduitsduquebec_ent",
	2639	+ "search_sweep_cmaq"
	2640	+ ],
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	3164	+ },
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	3215	+ "discovery_sources": [
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	3219	+ "discovery_source_urls": [
	3220	+ "bijoux faits main Québec boutique en ligne",
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	3228	+ },
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	3266	+ "id": "aoutrance.com",
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	3298	+ },
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	3316	+ ],
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	3328	+ },
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	3534	+ },
	3535	+ {
	3536	+ "id": "app.ueat.io",
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	3550	+ ],
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	3585	+ "socials": [
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	3604	+ },
	3605	+ {
	3606	+ "id": "aprtcreations.ca",
	3607	+ "name": "APRT Créations",
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	3622	+ "discovery_sources": [
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	3625	+ "discovery_source_urls": [
	3626	+ "vêtements conçus fabriqués au Québec boutique en ligne"
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	4073	+ {
	4074	+ "id": "artcimentdecoration.ca",
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	5146	+ },
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	5200	+ "https://www.youtube.com/@lesproduitsduquebec",
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	5547	+ ],
	5548	+ "discovery_source_urls": [
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	5564	+ "region": "Capitale-Nationale",
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	5573	+ "socials": [
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	5576	+ "discovery_sources": [
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	5579	+ "discovery_source_urls": [
	5580	+ "Atelier Trilobe Adrien Bobin tailleur de pierre québec"
	5581	+ ],
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	5587	+ },
	5588	+ {
	5589	+ "id": "ateliervcuir.com",
	5590	+ "name": "Atelier V Cuir",
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	6118	+ "http://www.facebook.com/pages/Chez-Truchon/215638428463776",
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Diff truncated — file too large.