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How connectors are scheduled/orchestrated (cron, run.py commands).\nReport in under 800 words with file paths."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1614,"cache_read_input_tokens":45387,"cache_creation":{"ephemeral_5m_input_tokens":1614,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"314cc05d-0aa3-403e-874d-33431c121ab5"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Explorer patron Lou-Ka","task_type":"local_agent","prompt":"Thoroughness: medium. Explore /Users/simon-pierreboucher/apps/lou-ka/louka/connectors (reference architecture for the ·Ka ecosystem — resto-ka must follow the same patterns).\n\nReport:\n1. List all connector files with one line each (source covered, extraction mode).\n2. Read 2-3 representative connectors fully (pick one Scrapfly-based, one JSON-API based, one platform-templated if any) and describe the common structure: base class, fetch/normalize/emit interface, error handling, rate limiting, retries.\n3. Shared utilities: Scrapfly/Firecrawl client helpers, geocoding, dedup, city→region mapping — file paths.\n4. How connectors are scheduled/orchestrated (cron, run.py commands).\nReport in under 800 words with file paths.","uuid":"217a4675-c50d-4931-a8ca-f776c4a366de","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Thoroughness: medium. Explore /Users/simon-pierreboucher/apps/lou-ka/louka/connectors (reference architecture for the ·Ka ecosystem — resto-ka must follow the same patterns).\n\nReport:\n1. List all connector files with one line each (source covered, extraction mode).\n2. Read 2-3 representative connectors fully (pick one Scrapfly-based, one JSON-API based, one platform-templated if any) and describe the common structure: base class, fetch/normalize/emit interface, error handling, rate limiting, retries.\n3. Shared utilities: Scrapfly/Firecrawl client helpers, geocoding, dedup, city→region mapping — file paths.\n4. How connectors are scheduled/orchestrated (cron, run.py commands).\nReport in under 800 words with file paths."}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"fccace50-6cfa-4f62-a116-aa9568fe7c18","timestamp":"2026-08-25T20:56:26.145Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/connectors/base.py","usage":{"total_tokens":12719,"tool_uses":5,"duration_ms":5596},"last_tool_name":"Read","uuid":"9b70e35c-5e8a-47bb-a3bc-9b787702f2c7","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UZyRkYHG3yuAnT5BoSQn9i","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/inovario.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/info_logement.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/lambert.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/forsa.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/devimco.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/agence_sherbrooke.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/gestimmo_estrie.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/carat_immobilier.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/oxford.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/habitations_jeanne.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/zumper.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/logisbourg.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/terrasse_pionniers.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/elite.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/hapopex.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/barnes_quebec.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/chartwell.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/picard.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/brio.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/kangalou.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/laureat_richard.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/morguard.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/iparc.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/cinq_etoiles.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/signature_bois_franc.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/majestic.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/douek.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/mellem.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/leclif.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/gestipro.py","is_error":false}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"117927da-613e-4a19-b8d4-131ceceb5f91","timestamp":"2026-08-25T20:56:27.391Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VX9nnfjX3twuua9NdhJ3MM","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/connectors/base.py\n4\t# Desc: Classe de base des connecteurs + backends de fetch (requests direct,\n5\t# Firecrawl ou Scrapfly pour les sites JavaScript / anti-bot).\n6\t# Calquée sur louka/connectors/base.py — mêmes conventions.\n7\t# ==============================================================================\n8\tfrom __future__ import annotations\n9\t\n10\timport json\n11\timport os\n12\timport time\n13\t\n14\timport requests\n15\t\n16\tfrom ..schema import Restaurant\n17\t\n18\tUSER_AGENT = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) \"\n19\t \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 \"\n20\t \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\")\n21\t\n22\tFIRECRAWL_API = \"https://api.firecrawl.dev/v1/scrape\"\n23\tSCRAPFLY_API = \"https://api.scrapfly.io/scrape\"\n24\t\n25\t\n26\tclass SkipSource(RuntimeError):\n27\t \"\"\"Levée par un connecteur qui ne peut pas tourner (clé API manquante…).\n28\t\n29\t Le pipeline (ingest.run) consigne le motif et passe à la source suivante\n30\t SANS marquer d'échec dans sync_log — ce n'est pas une erreur, la source\n31\t est simplement en attente (ex. Yelp Fusion sans YELP_API_KEY).\"\"\"\n32\t\n33\t\n34\tclass BaseConnector:\n35\t \"\"\"Un connecteur = un adaptateur propre à une source (ou une plateforme).\n36\t\n37\t Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n38\t la liste complète des restaurants (avec menu) actuellement publiés par la\n39\t source. Le pipeline (ingest.py) s'occupe du diff avec la base de données.\n40\t \"\"\"\n41\t\n42\t source_id: str = \"\"\n43\t request_delay: float = 0.6 # politesse entre requêtes\n44\t timeout: int = 30\n45\t use_detail_cache: bool = True # cache BD des payloads détail\n46\t\n47\t def __init__(self) -> None:\n48\t self.session = requests.Session()\n49\t self.session.headers[\"User-Agent\"] = USER_AGENT\n50\t self._last_request = 0.0\n51\t self._detail_con = None\n52\t\n53\t # -- backends -------------------------------------------------------------\n54\t def _throttle(self) -> None:\n55\t wait = self.request_delay - (time.time() - self._last_request)\n56\t if wait > 0:\n57\t time.sleep(wait)\n58\t\n59\t def get(self, url: str, **kw) -> requests.Response:\n60\t \"\"\"GET direct avec throttling poli.\"\"\"\n61\t self._throttle()\n62\t resp = self.session.get(url, timeout=self.timeout, **kw)\n63\t self._last_request = time.time()\n64\t resp.raise_for_status()\n65\t return resp\n66\t\n67\t def post(self, url: str, **kw) -> requests.Response:\n68\t \"\"\"POST direct avec throttling poli (APIs internes des plateformes).\"\"\"\n69\t self._throttle()\n70\t resp = self.session.post(url, timeout=self.timeout, **kw)\n71\t self._last_request = time.time()\n72\t resp.raise_for_status()\n73\t return resp\n74\t\n75\t def get_rendered(self, url: str) -> str:\n76\t \"\"\"HTML rendu (JavaScript exécuté) via Firecrawl.\n77\t\n78\t Nécessite FIRECRAWL_API_KEY dans l'environnement (.env). À utiliser\n79\t pour les sites de restos SPA relativement ouverts.\n80\t \"\"\"\n81\t key = os.environ.get(\"FIRECRAWL_API_KEY\")\n82\t if not key:\n83\t raise RuntimeError(\"FIRECRAWL_API_KEY manquant (voir .env)\")\n84\t resp = requests.post(\n85\t FIRECRAWL_API,\n86\t json={\"url\": url, \"formats\": [\"html\"]},\n87\t headers={\"Authorization\": f\"Bearer {key}\"},\n88\t timeout=90,\n89\t )\n90\t resp.raise_for_status()\n91\t data = resp.json()\n92\t return (data.get(\"data\") or {}).get(\"html\", \"\")\n93\t\n94\t def scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n95\t rendering_wait: int = 0, country: str = \"ca\",\n96\t wait_for_selector: str | None = None,\n97\t js_scenario: list | str | None = None,\n98\t proxy_pool: str | None = None, headers: dict | None = None,\n99\t method: str = \"GET\", body: str | None = None) -> dict:\n100\t \"\"\"Appel Scrapfly complet — retourne le dict `result` (content, status…).\n101\t\n102\t Requis pour les plateformes de livraison (anti-bot agressif) ; voir\n103\t CLAUDE.md §10 et §15 avant d'industrialiser sur ces sources.\n104\t \"\"\"\n105\t import base64\n106\t key = os.environ.get(\"SCRAPFLY_KEY\")\n107\t if not key:\n108\t raise RuntimeError(\"SCRAPFLY_KEY manquant (voir .env)\")\n109\t params: dict = {\"key\": key, \"url\": url, \"country\": country}\n110\t if asp:\n111\t params[\"asp\"] = \"true\"\n112\t if render_js:\n113\t params[\"render_js\"] = \"true\"\n114\t if rendering_wait:\n115\t params[\"rendering_wait\"] = rendering_wait\n116\t if wait_for_selector:\n117\t params[\"wait_for_selector\"] = wait_for_selector\n118\t if proxy_pool:\n119\t params[\"proxy_pool\"] = proxy_pool\n120\t if js_scenario is not None:\n121\t js = js_scenario if isinstance(js_scenario, str) else json.dumps(js_scenario)\n122\t params[\"js_scenario\"] = base64.urlsafe_b64encode(js.encode()).decode()\n123\t if headers:\n124\t for k, v in headers.items():\n125\t params[f\"headers[{k}]\"] = v\n126\t self._throttle()\n127\t if method.upper() == \"POST\":\n128\t resp = requests.post(SCRAPFLY_API, params=params,\n129\t data=(body or \"\"), timeout=180)\n130\t else:\n131\t resp = requests.get(SCRAPFLY_API, params=params, timeout=180)\n132\t self._last_request = time.time()\n133\t try:\n134\t return resp.json().get(\"result\") or {}\n135\t except ValueError:\n136\t return {}\n137\t\n138\t def get_scrapfly(self, url: str, **kw) -> str:\n139\t \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS).\"\"\"\n140\t return self.scrapfly(url, **kw).get(\"content\") or \"\"\n141\t\n142\t def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n143\t \"\"\"Payload « détail » avec cache : `fetch_fn` n'est appelé que si le\n144\t resto est nouveau ou si sa clé (hash du contenu liste) a changé.\n145\t\n146\t Évite de recapturer un menu complet (dizaines de requêtes) quand rien\n147\t n'a bougé. `fetch_fn` doit retourner un dict JSON-sérialisable.\n148\t \"\"\"\n149\t if not self.use_detail_cache:\n150\t return fetch_fn() or {}\n151\t from .. import db\n152\t if self._detail_con is None:\n153\t self._detail_con = db.connect()\n154\t cached = db.get_cached_detail(self._detail_con, self.source_id,\n155\t str(external_id), key)\n156\t if cached is not None:\n157\t return cached\n158\t payload = fetch_fn() or {}\n159\t db.put_cached_detail(self._detail_con, self.source_id,\n160\t str(external_id), key, payload)\n161\t return payload\n162\t\n163\t # -- contrat --------------------------------------------------------------\n164\t def fetch(self) -> list[Restaurant]:\n165\t raise NotImplementedError\n166\t\n167\t\n168\t# =============================================================================\n169\t# Résilience anti-bot (Groupe KA) — auto-escalade de get() sans toucher au corps.\n170\t# Ajouté par l'orchestrateur KA : enrobe BaseConnector.get pour qu'un blocage\n171\t# anti-bot (403/429/503/challenge) ou une coupure réseau déclenche la chaîne\n172\t# de secours (Oxylabs résidentiel -> Scrapfly ASP -> Bright Data). Voir\n173\t# connectors/_resilient.py. Idempotent (marqueur _KA_RESILIENT_WRAPPED).\n174\t# =============================================================================\n175\tif not getattr(BaseConnector, \"_KA_RESILIENT_WRAPPED\", False):\n176\t import requests as _ka_requests # noqa: E402\n177\t from . import _resilient as _kar # noqa: E402\n178\t\n179\t _ka_orig_get = BaseConnector.get\n180\t\n181\t def _ka_full_url(url, kw):\n182\t try:\n183\t return _ka_requests.Request(\"GET\", url,\n184\t params=kw.get(\"params\")).prepare().url\n185\t except Exception: # noqa: BLE001\n186\t return url\n187\t\n188\t def _ka_resilient_get(self, url, **kw):\n189\t timeout = getattr(self, \"timeout\", 30)\n190\t headers = kw.get(\"headers\")\n191\t try:\n192\t return _ka_orig_get(self, url, **kw)\n193\t except _ka_requests.HTTPError as exc:\n194\t r = getattr(exc, \"response\", None)\n195\t if r is not None and _kar.is_blocked(r):\n196\t target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n197\t better = _kar.escalate_if_blocked(\n198\t r, target, timeout=timeout, headers=headers)\n199\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n200\t return better\n201\t raise\n202\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n203\t better = _kar.escalate(_ka_full_url(url, kw),\n204\t timeout=timeout, headers=headers)\n205\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n206\t return better\n207\t raise\n208\t\n209\t def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n210\t \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n211\t\n212\t Comme get() mais tente d'abord le direct puis escalade même sur 200-\n213\t challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n214\t requests (.text/.content/.status_code/.json()...).\n215\t \"\"\"\n216\t timeout = getattr(self, \"timeout\", 30)\n217\t headers = kw.get(\"headers\")\n218\t try:\n219\t resp = _ka_orig_get(self, url, **kw)\n220\t except _ka_requests.HTTPError as exc:\n221\t resp = getattr(exc, \"response\", None)\n222\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n223\t resp = None\n224\t target = _ka_full_url(url, kw)\n225\t if resp is not None and getattr(resp, \"url\", None):\n226\t target = resp.url\n227\t return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n228\t country=country, render_js=render_js,\n229\t headers=headers)\n230\t\n231\t BaseConnector.get = _ka_resilient_get\n232\t BaseConnector.get_resilient = _ka_get_resilient\n233\t BaseConnector._KA_RESILIENT_WRAPPED = True\n234\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"f81d26ab-6082-45f6-8051-106f2b79b72a","timestamp":"2026-08-25T20:56:27.112Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/connectors/__init__.py","usage":{"total_tokens":12723,"tool_uses":6,"duration_ms":5961},"last_tool_name":"Read","uuid":"538c5b03-7ba0-47f2-b47f-831ec350a374","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mHZvnkEVw3S85N4ZE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CapLSZ8zpNFgDX9F3uwLTk","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/connectors/__init__.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":564,"cache_read_input_tokens":12083,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"2a9280ab-a504-4451-946f-e7d63203f118"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CapLSZ8zpNFgDX9F3uwLTk","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/connectors/__init__.py\n4\t# Desc: Registre AUTO-DÉCOUVRANT des connecteurs : tout module de ce paquet\n5\t# contenant une sous-classe de BaseConnector avec un source_id non\n6\t# vide est enregistré automatiquement (même patron que Lou·Ka).\n7\t# ==============================================================================\n8\tfrom __future__ import annotations\n9\t\n10\timport importlib\n11\timport pkgutil\n12\timport sys\n13\t\n14\tfrom .base import BaseConnector\n15\t\n16\tCONNECTORS: dict[str, type[BaseConnector]] = {}\n17\t\n18\tfor _mod in pkgutil.iter_modules(__path__):\n19\t if _mod.name in (\"base\", \"__init__\"):\n20\t continue\n21\t try:\n22\t module = importlib.import_module(f\"{__name__}.{_mod.name}\")\n23\t except Exception as exc: # un connecteur cassé ne bloque pas les autres\n24\t print(f\"[resto-ka] connecteur '{_mod.name}' ignoré : {exc}\", file=sys.stderr)\n25\t continue\n26\t for obj in vars(module).values():\n27\t if (isinstance(obj, type) and issubclass(obj, BaseConnector)\n28\t and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\n29\t CONNECTORS[obj.source_id] = obj\n30\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"105218be-f4f5-4092-a673-f3a41448bb10","timestamp":"2026-08-25T20:56:27.476Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/schema.py","usage":{"total_tokens":12727,"tool_uses":7,"duration_ms":6012},"last_tool_name":"Read","uuid":"c74f2cff-176f-434f-80b8-c3cbc63373d7","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mHZvnkEVw3S85N4ZE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LGNDZsqZy8fgMdxcnVpFv4","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/schema.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":564,"cache_read_input_tokens":12083,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"d64a952f-8636-4721-b083-aa52d0c1022b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LGNDZsqZy8fgMdxcnVpFv4","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/schema.py\n4\t# Desc: Modèle de données standardisé Restaurant + Menu imbriqué\n5\t# (catégories → plats → prix → options) et normalisation centrale.\n6\t# Calqué sur louka/schema.py — le schéma est simplement plus profond.\n7\t# ==============================================================================\n8\t\"\"\"Schéma standard d'un restaurant (CLAUDE.md §5) et validation du menu.\n9\t\n10\tChaque connecteur, peu importe la source, produit des objets `Restaurant`\n11\tconformes à ce schéma. `finalize()` applique la couche commune : nettoyage,\n12\trégion (obligatoire), cuisines, type d'établissement, fourchette de prix,\n13\tdiètes, validation stricte du menu (`price_context`/`price_source` requis).\n14\t\"\"\"\n15\tfrom __future__ import annotations\n16\t\n17\timport hashlib\n18\timport json\n19\tfrom dataclasses import dataclass, field, asdict\n20\t\n21\tfrom .normalize import (\n22\t PRICE_CONTEXTS,\n23\t classify_cuisines,\n24\t classify_establishment,\n25\t clean_address,\n26\t clean_name,\n27\t infer_dietary,\n28\t price_range_from_menu,\n29\t)\n30\tfrom .regions import attach_region\n31\t\n32\t__all__ = [\"Restaurant\", \"MenuValidationError\"]\n33\t\n34\t\n35\tclass MenuValidationError(ValueError):\n36\t \"\"\"Menu rejeté (contexte/source de prix manquant, structure invalide).\"\"\"\n37\t\n38\t\n39\t@dataclass\n40\tclass Restaurant:\n41\t \"\"\"Restaurant standardisé Resto·Ka (une fiche par adresse/succursale).\"\"\"\n42\t\n43\t source: str # id de la source (data/sources.json)\n44\t external_id: str # identifiant chez la source\n45\t name: str # nom normalisé\n46\t url: str = \"\" # page du resto chez la source\n47\t chain: str | None = None # marque/chaîne si multi-succursales\n48\t cuisines: list[str] = field(default_factory=list)\n49\t establishment_type: str = \"\" # restaurant|fast-food|cafe|bar|...\n50\t price_range: str = \"\" # $ à $$$$ (estimé du menu)\n51\t address: str = \"\"\n52\t city: str = \"\"\n53\t region: str = \"\" # une des 17 régions (regions.py)\n54\t postal_code: str = \"\"\n55\t lat: float | None = None\n56\t lng: float | None = None\n57\t phone: str = \"\"\n58\t website: str = \"\"\n59\t hours: dict = field(default_factory=dict) # horaires par jour\n60\t services: list[str] = field(default_factory=list) # dine-in|takeout|delivery\n61\t dietary_options: list[str] = field(default_factory=list)\n62\t languages: list[str] = field(default_factory=list)\n63\t images: list[str] = field(default_factory=list) # logo + photos (URLs absolues)\n64\t menu: dict | None = None # voir CLAUDE.md §5.2\n65\t status: str = \"open\" # open|temporarily_closed|closed\n66\t\n67\t @property\n68\t def uid(self) -> str:\n69\t return f\"{self.source}:{self.external_id}\"\n70\t\n71\t def content_hash(self) -> str:\n72\t \"\"\"Hash du contenu pour la détection de changements. `captured_at`\n73\t est exclu : un menu identique recapturé ne doit pas compter comme\n74\t une mise à jour.\"\"\"\n75\t payload = asdict(self)\n76\t if payload.get(\"menu\"):\n77\t payload[\"menu\"] = dict(payload[\"menu\"], captured_at=\"\")\n78\t blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n79\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n80\t\n81\t # -- validation du menu ----------------------------------------------------\n82\t def _validate_menu(self) -> None:\n83\t m = self.menu\n84\t if m is None:\n85\t return\n86\t if m.get(\"price_context\") not in PRICE_CONTEXTS:\n87\t raise MenuValidationError(\n88\t f\"{self.uid}: price_context invalide ou manquant \"\n89\t f\"({m.get('price_context')!r}) — un prix sans contexte est \"\n90\t \"inutilisable (livraison ≠ salle)\")\n91\t if not m.get(\"price_source\"):\n92\t raise MenuValidationError(f\"{self.uid}: price_source manquant\")\n93\t if not m.get(\"captured_at\"):\n94\t raise MenuValidationError(f\"{self.uid}: captured_at manquant\")\n95\t m.setdefault(\"currency\", \"CAD\")\n96\t for sec in m.get(\"sections\") or []:\n97\t if not sec.get(\"name\"):\n98\t raise MenuValidationError(f\"{self.uid}: section sans nom\")\n99\t for it in sec.get(\"items\") or []:\n100\t if not it.get(\"name\"):\n101\t raise MenuValidationError(\n102\t f\"{self.uid}: item sans nom dans « {sec['name']} »\")\n103\t price = it.get(\"price\")\n104\t if price is not None and (not isinstance(price, (int, float))\n105\t or price < 0 or price > 10000):\n106\t raise MenuValidationError(\n107\t f\"{self.uid}: prix implausible {price!r} pour \"\n108\t f\"« {it['name']} »\")\n109\t it.setdefault(\"currency\", m[\"currency\"])\n110\t\n111\t def _menu_text(self) -> str:\n112\t if not self.menu:\n113\t return \"\"\n114\t parts = []\n115\t for sec in self.menu.get(\"sections\") or []:\n116\t parts.append(sec.get(\"name\") or \"\")\n117\t parts.extend(it.get(\"name\") or \"\" for it in sec.get(\"items\") or [])\n118\t return \" \".join(parts)\n119\t\n120\t def finalize(self) -> \"Restaurant\":\n121\t \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n122\t\n123\t Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n124\t Lève MenuValidationError si le menu viole le schéma (le pipeline\n125\t rejette alors la fiche plutôt que de stocker un prix sans contexte).\n126\t \"\"\"\n127\t self.name = clean_name(self.name)\n128\t self.address = clean_address(self.address)\n129\t self.city = self.city.strip()\n130\t self.postal_code = (self.postal_code or \"\").strip().upper()\n131\t\n132\t self._validate_menu()\n133\t\n134\t # coordonnées fournies par la source : rejeter tout point hors de la\n135\t # province (lat/lng inversés, 0/0) — le géocodeur prendra le relais\n136\t if self.lat is not None and self.lng is not None:\n137\t if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n138\t self.lat = self.lng = None\n139\t\n140\t if not self.region:\n141\t self.region = attach_region(self.city, self.postal_code,\n142\t self.lat, self.lng)\n143\t if not self.cuisines:\n144\t self.cuisines = classify_cuisines(self.name, self._menu_text())\n145\t if not self.establishment_type:\n146\t self.establishment_type = classify_establishment(self.name,\n147\t self.cuisines)\n148\t if not self.price_range:\n149\t self.price_range = price_range_from_menu(self.menu)\n150\t if not self.dietary_options:\n151\t self.dietary_options = infer_dietary(self.menu)\n152\t if not self.languages:\n153\t self.languages = [\"fr\"]\n154\t return self\n155\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"843f7036-9f19-4133-9d26-589d9a9cd065","timestamp":"2026-08-25T20:56:27.526Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/ingest.py","usage":{"total_tokens":12731,"tool_uses":8,"duration_ms":6202},"last_tool_name":"Read","uuid":"de5f6410-b7ba-46e2-b2ad-8500e78793ff","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mHZvnkEVw3S85N4ZE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DXVobNbLnvvFFFBiR7qGvE","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/ingest.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":564,"cache_read_input_tokens":12083,"cache_creation":{"ephemeral_5m_input_tokens":564,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"b322d9c1-b365-461e-9a7a-7862898986b8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DXVobNbLnvvFFFBiR7qGvE","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/ingest.py\n4\t# Desc: Pipeline d'ingestion — exécute les connecteurs et synchronise la base\n5\t# (ajouts / mises à jour / retraits avec délai de grâce). Une fiche\n6\t# malformée (menu sans price_context…) est rejetée, jamais stockée.\n7\t# Calqué sur louka/ingest.py.\n8\t# ==============================================================================\n9\tfrom __future__ import annotations\n10\t\n11\timport sys\n12\timport time\n13\timport traceback\n14\t\n15\tfrom . import db\n16\tfrom .connectors import CONNECTORS\n17\tfrom .connectors.base import SkipSource\n18\t\n19\t\n20\tdef run(sources: list[str] | None = None) -> list[dict]:\n21\t \"\"\"Exécute l'ingestion pour toutes les sources (ou celles demandées).\"\"\"\n22\t con = db.connect()\n23\t results = []\n24\t targets = sources or list(CONNECTORS.keys())\n25\t for sid in targets:\n26\t cls = CONNECTORS.get(sid)\n27\t if cls is None:\n28\t print(f\"[resto-ka] connecteur inconnu : {sid}\", file=sys.stderr)\n29\t continue\n30\t t0 = time.time()\n31\t print(f\"[resto-ka] sync {sid} ...\")\n32\t try:\n33\t connector = cls()\n34\t restos = connector.fetch()\n35\t # connecteur d'ENRICHISSEMENT (ex. Yelp) : complète les fiches\n36\t # existantes sans en émettre — pas de diff, journal dédié\n37\t if getattr(connector, \"enrichment_only\", False):\n38\t n = getattr(connector, \"enriched_count\", 0)\n39\t msg = getattr(connector, \"enrich_message\", \"enrichissement\")\n40\t con.execute(\n41\t \"INSERT INTO sync_log (source, ts, found, added, updated,\"\n42\t \" removed, ok, message) VALUES (?,?,?,0,?,0,1,?)\",\n43\t (sid, time.time(), n, n, msg))\n44\t con.commit()\n45\t results.append({\"source\": sid, \"enriched\": n,\n46\t \"seconds\": round(time.time() - t0, 1)})\n47\t continue\n48\t finalized, dropped = [], 0\n49\t for r in restos:\n50\t try:\n51\t finalized.append(r.finalize())\n52\t except Exception as exc: # une fiche malformée ne bloque pas la source\n53\t dropped += 1\n54\t print(f\"[resto-ka] fiche rejetée : {exc}\", file=sys.stderr)\n55\t # run partiel signalé par le connecteur (ex. OSM : un type\n56\t # d'établissement a échoué sur tous les miroirs) -> retraits suspendus\n57\t stats = db.sync_source(con, sid, finalized,\n58\t partial=getattr(connector, \"partial_run\",\n59\t False))\n60\t # enrichissements différés (ex. site-resto : reservation_url de la\n61\t # fiche site-resto, qui n'existe en base qu'après l'upsert)\n62\t for uid, patch in getattr(connector, \"pending_enrichment\", []) or []:\n63\t db.enrich_contact(con, uid, phone=patch.get(\"phone\", \"\"),\n64\t hours=patch.get(\"hours\"),\n65\t details=patch.get(\"details\"))\n66\t con.commit()\n67\t stats[\"seconds\"] = round(time.time() - t0, 1)\n68\t if dropped:\n69\t stats[\"dropped\"] = dropped\n70\t if stats.get(\"alert\"):\n71\t print(f\"[resto-ka] ⚠ ALERTE {sid} : {stats['alert']}\")\n72\t print(f\"[resto-ka] {stats}\")\n73\t results.append(stats)\n74\t except SkipSource as exc: # source en attente (clé API manquante…)\n75\t print(f\"[resto-ka] {sid} sauté : {exc}\")\n76\t results.append({\"source\": sid, \"skipped\": str(exc)})\n77\t except Exception as exc: # robustesse : une source ne bloque pas les autres\n78\t db.log_failure(con, sid, f\"{exc}\")\n79\t traceback.print_exc()\n80\t results.append({\"source\": sid, \"error\": str(exc)})\n81\t try:\n82\t con.execute(\"PRAGMA optimize\")\n83\t except Exception:\n84\t pass\n85\t con.close()\n86\t return results\n87\t\n88\t\n89\tdef enrich() -> None:\n90\t \"\"\"Étapes d'enrichissement post-sync (géocodage, région, déduplication).\"\"\"\n91\t try: # géocoder les nouvelles adresses (lat/lng obligatoires §5)\n92\t from . import geocode\n93\t geocode.run_batch()\n94\t except Exception as exc:\n95\t print(f\"[resto-ka] geocode: erreur non bloquante: {exc}\", file=sys.stderr)\n96\t try: # déduplication inter-sources (APRÈS géocodage : coords requises)\n97\t from . import dedup\n98\t stats = dedup.run()\n99\t print(f\"[resto-ka] dedup: {stats}\")\n100\t except Exception as exc:\n101\t print(f\"[resto-ka] dedup: erreur non bloquante: {exc}\", file=sys.stderr)\n102\t try: # inspections MAPAQ (condamnations) — cadence hebdo, croisement\n103\t from . import inspections\n104\t inspections.sync()\n105\t except Exception as exc:\n106\t print(f\"[resto-ka] mapaq: erreur non bloquante: {exc}\", file=sys.stderr)\n107\t try: # permis d'alcool RACJ (Données Québec) — cadence hebdo, croisement\n108\t from . import permits\n109\t permits.sync()\n110\t except Exception as exc:\n111\t print(f\"[resto-ka] racj: erreur non bloquante: {exc}\", file=sys.stderr)\n112\t\n113\t\n114\tdef watch(interval_seconds: int = 7 * 86400 // 7) -> None:\n115\t \"\"\"Boucle de rafraîchissement périodique (défaut : quotidien — les grandes\n116\t plateformes se rafraîchissent au moins chaque semaine, CLAUDE.md §14).\"\"\"\n117\t while True:\n118\t run()\n119\t enrich()\n120\t print(f\"[resto-ka] prochaine synchronisation dans {interval_seconds}s\")\n121\t time.sleep(interval_seconds)\n122\t\n123\t\n124\tif __name__ == \"__main__\":\n125\t run(sys.argv[1:] or None)\n126\t enrich()\n127\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"ac282281-33b3-400f-bcc0-0265a828f791","timestamp":"2026-08-25T20:56:27.716Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/lou…","usage":{"total_tokens":10189,"tool_uses":2,"duration_ms":2481},"last_tool_name":"Bash","uuid":"ef2e9b2b-78a9-4731-8e38-a25fc7124efe","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mPtgpxn9jZdFLNPce","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XkeDconWH3Cc1MxBsXmhzQ","name":"Bash","input":{"command":"ls -la /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/ | grep -E \"^-\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":1873,"cache_read_input_tokens":8303,"cache_creation":{"ephemeral_5m_input_tokens":1873,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"d1fb45a8-04d1-46c1-80f6-3c7640dec340"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XkeDconWH3Cc1MxBsXmhzQ","type":"tool_result","content":"-rw-r--r-- 1 simon-pierreboucher staff 1427 Aug 18 01:29 __init__.py\n-rw-r--r-- 1 simon-pierreboucher staff 10879 Aug 18 02:54 _detailutil.py\n-rw-r--r-- 1 simon-pierreboucher staff 10505 Aug 18 06:11 _livya.py\n-rw-r--r--@ 1 simon-pierreboucher 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017nzpRKZ5UW7nDvqe2JsRgz","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/normalize.py\n4\t# Desc: Couche de normalisation commune : nettoyage des noms/adresses,\n5\t# parsing des prix, classification des cuisines et du type\n6\t# d'établissement, diètes, fourchette de prix ($ à $$$$).\n7\t# Calquée sur louka/normalize.py (famille ·Ka).\n8\t# ==============================================================================\n9\tfrom __future__ import annotations\n10\t\n11\timport html\n12\timport re\n13\timport statistics\n14\t\n15\tfrom .regions import strip_accents\n16\t\n17\t__all__ = [\n18\t \"strip_accents\", \"clean_name\", \"clean_address\", \"parse_price\",\n19\t \"classify_cuisines\", \"classify_establishment\", \"infer_dietary\",\n20\t \"price_range_from_menu\", \"normalize_phone\", \"CUISINES\", \"PRICE_CONTEXTS\",\n21\t]\n22\t\n23\t# Taxonomie des cuisines (CLAUDE.md §6.1) — multi-valué.\n24\tCUISINES = [\n25\t \"quebecois\", \"francais\", \"italien\", \"pizza\", \"burgers\", \"poulet\",\n26\t \"bbq-grillades\", \"fruits-de-mer\", \"sushi-japonais\", \"chinois\", \"thai\",\n27\t \"vietnamien\", \"coreen\", \"indien\", \"libanais-moyen-orient\", \"mexicain\",\n28\t \"grec\", \"mediterraneen\", \"dejeuner-brunch\", \"cafe-dessert\",\n29\t \"vegetarien-vegan\", \"fast-food\", \"autre\",\n30\t]\n31\t\n32\t# Contextes de prix admissibles (CLAUDE.md §6.2) — un prix sans contexte est\n33\t# inutilisable ; `delivery` est majoré de 25-30 % vs la salle.\n34\tPRICE_CONTEXTS = (\"dine-in\", \"takeout\", \"delivery\")\n35\t\n36\tESTABLISHMENT_TYPES = (\n37\t \"restaurant\", \"fast-food\", \"cafe\", \"bar\", \"food-truck\", \"traiteur\",\n38\t \"boulangerie-patisserie\", \"casse-croute\", \"microbrasserie\", \"hotel\",\n39\t \"ghost-kitchen\",\n40\t)\n41\t\n42\t\n43\tdef clean_name(name: str) -> str:\n44\t \"\"\"Nettoie un nom de resto/section/plat : HTML résiduel, espaces, casse SPAM.\"\"\"\n45\t s = html.unescape(name or \"\")\n46\t s = re.sub(r\"<[^>]+>\", \" \", s)\n47\t s = re.sub(r\"\\s+\", \" \", s).strip()\n48\t # « CRÉEZ VOTRE BOL » -> « Créez Votre Bol » seulement si TOUT est en capitales\n49\t if len(s) > 3 and s == s.upper() and any(c.isalpha() for c in s):\n50\t s = s.title()\n51\t return s\n52\t\n53\t\n54\tdef clean_address(address: str) -> str:\n55\t s = html.unescape(address or \"\")\n56\t s = re.sub(r\"\\s+\", \" \", s).strip().strip(\",\")\n57\t # « 8245 Local A15 » -> garder le civique\n58\t s = re.sub(r\"^(\\d+)\\s+(?:local|suite|bureau|unite|#)\\s*[\\w-]+\\s\", r\"\\1 \", s,\n59\t flags=re.I)\n60\t return s\n61\t\n62\t\n63\t_PHONE_RE = re.compile(\n64\t r\"(?:\\+?1[\\s.\\-]?)?\\(?([2-9]\\d{2})\\)?[\\s.\\-]?(\\d{3})[\\s.\\-]?(\\d{4})(?!\\d)\")\n65\t\n66\t\n67\tdef normalize_phone(text: str | None) -> str:\n68\t \"\"\"Extrait et normalise un numéro nord-américain en E.164 (« +14185551234 »).\n69\t\n70\t Retourne \"\" si aucun numéro à 10 chiffres plausible n'est trouvé.\n71\t Accepte les formats courants : (418) 555-1234, 418.555.1234, tel:+1418…\n72\t \"\"\"\n73\t if not text:\n74\t return \"\"\n75\t m = _PHONE_RE.search(str(text))\n76\t if not m:\n77\t return \"\"\n78\t return \"+1\" + \"\".join(m.groups())\n79\t\n80\t\n81\t_PRICE_RE = re.compile(r\"(\\d{1,4}(?:[ ]\\d{3})*(?:[.,]\\d{1,2})?)\\s*\\$?\")\n82\t\n83\t\n84\tdef parse_price(text: str | float | None) -> float | None:\n85\t \"\"\"Extrait un prix en dollars d'un texte (« 16,50 $ », « à partir de 12$ »).\"\"\"\n86\t if text is None:\n87\t return None\n88\t if isinstance(text, (int, float)):\n89\t return round(float(text), 2) if float(text) > 0 else None\n90\t m = _PRICE_RE.search(text.replace(\"\\xa0\", \" \"))\n91\t if not m:\n92\t return None\n93\t raw = m.group(1).replace(\" \", \"\").replace(\" \", \"\").replace(\",\", \".\")\n94\t try:\n95\t val = round(float(raw), 2)\n96\t except ValueError:\n97\t return None\n98\t return val if val > 0 else None\n99\t\n100\t\n101\t# --- classification des cuisines ---------------------------------------------\n102\t# mots-clés (sans accents, minuscules) -> cuisine. L'ordre n'importe pas :\n103\t# multi-valué, toutes les cuisines détectées sont retournées.\n104\t_CUISINE_KEYWORDS: dict[str, tuple[str, ...]] = {\n105\t \"pizza\": (\"pizza\", \"pizzeria\", \"pizzas\"),\n106\t \"sushi-japonais\": (\"sushi\", \"maki\", \"sashimi\", \"izakaya\", \"ramen\",\n107\t \"japonais\", \"poke\", \"bento\", \"tempura\"),\n108\t \"burgers\": (\"burger\", \"burgers\", \"smash\"),\n109\t \"poulet\": (\"poulet\", \"chicken\", \"rotisserie\", \"shish taouk\"),\n110\t \"italien\": (\"italien\", \"trattoria\", \"osteria\", \"pasta\", \"pates fraiches\",\n111\t \"risotto\", \"gnocchi\"),\n112\t \"francais\": (\"bistro francais\", \"brasserie francaise\", \"cuisine francaise\"),\n113\t \"quebecois\": (\"poutine\", \"casse-croute\", \"tourtiere\", \"cabane a sucre\",\n114\t \"smoked meat\", \"quebecois\"),\n115\t \"chinois\": (\"chinois\", \"dim sum\", \"szechuan\", \"cantonais\", \"wok\",\n116\t \"dumpling\", \"boba\", \"bubble tea\"),\n117\t \"thai\": (\"thai\", \"pad thai\", \"thailandais\"),\n118\t \"vietnamien\": (\"pho\", \"vietnamien\", \"banh mi\", \"tonkinoise\"),\n119\t \"coreen\": (\"coreen\", \"kimchi\", \"bibimbap\", \"bbq coreen\"),\n120\t \"indien\": (\"indien\", \"curry\", \"tandoori\", \"biryani\", \"naan\"),\n121\t \"libanais-moyen-orient\": (\"libanais\", \"shawarma\", \"falafel\", \"kebab\",\n122\t \"moyen-orient\", \"hummus\", \"syrien\"),\n123\t \"mexicain\": (\"taco\", \"tacos\", \"mexicain\", \"burrito\", \"quesadilla\",\n124\t \"taqueria\"),\n125\t \"grec\": (\"grec\", \"gyro\", \"souvlaki\"),\n126\t \"mediterraneen\": (\"mediterraneen\", \"meze\"),\n127\t \"fruits-de-mer\": (\"fruits de mer\", \"poissonnerie\", \"homard\", \"crabe\",\n128\t \"huitres\", \"fish and chips\"),\n129\t \"bbq-grillades\": (\"bbq\", \"grillades\", \"steakhouse\", \"cotes levees\",\n130\t \"smokehouse\", \"grill\"),\n131\t \"dejeuner-brunch\": (\"dejeuner\", \"brunch\", \"matin\", \"creperie\", \"oeufs\",\n132\t \"pancake\", \"waffle\", \"gaufres\"),\n133\t \"cafe-dessert\": (\"cafe\", \"espresso\", \"patisserie\", \"dessert\", \"creme glacee\",\n134\t \"chocolat\", \"gelato\", \"beigne\", \"the \", \"salon de the\"),\n135\t \"vegetarien-vegan\": (\"vegan\", \"vegetalien\", \"vegetarien\", \"vege\"),\n136\t \"fast-food\": (\"fast food\", \"restauration rapide\", \"frites\"),\n137\t}\n138\t\n139\t\n140\tdef classify_cuisines(name: str, menu_text: str = \"\") -> list[str]:\n141\t \"\"\"Classe un resto dans la taxonomie cuisine à partir de son nom et du texte\n142\t de son menu. Retourne au moins [\"autre\"].\"\"\"\n143\t hay = strip_accents(f\"{name} {menu_text}\".lower())\n144\t found = [c for c, kws in _CUISINE_KEYWORDS.items()\n145\t if any(k in hay for k in kws)]\n146\t # le nom du resto prime : ne garder que les 4 meilleures correspondances\n147\t return found[:4] if found else [\"autre\"]\n148\t\n149\t\n150\tdef classify_establishment(name: str, cuisines: list[str]) -> str:\n151\t hay = strip_accents((name or \"\").lower())\n152\t if any(k in hay for k in (\"cafe\", \"salon de the\", \"boba\", \"bubble tea\",\n153\t \"espresso\", \"torrefacteur\")):\n154\t return \"cafe\"\n155\t if any(k in hay for k in (\"boulangerie\", \"patisserie\")):\n156\t return \"boulangerie-patisserie\"\n157\t if any(k in hay for k in (\"casse-croute\", \"cantine\", \"roulotte\")):\n158\t return \"casse-croute\"\n159\t if any(k in hay for k in (\"food truck\", \"camion\")):\n160\t return \"food-truck\"\n161\t if any(k in hay for k in (\"pub \", \"taverne\", \"bar \", \"brasserie artisanale\")):\n162\t return \"bar\"\n163\t if any(k in hay for k in (\"microbrasserie\", \"brouepub\")):\n164\t return \"microbrasserie\"\n165\t if any(k in hay for k in (\"traiteur\",)):\n166\t return \"traiteur\"\n167\t if \"fast-food\" in cuisines:\n168\t return \"fast-food\"\n169\t return \"restaurant\"\n170\t\n171\t\n172\t_DIET_KEYWORDS = {\n173\t \"vegan\": (\"vegan\", \"vegetalien\", \"vegetalienne\"),\n174\t \"vegetarien\": (\"vegetarien\", \"vegetarienne\", \"vege\", \"veggie\"),\n175\t \"sans-gluten\": (\"sans gluten\", \"gluten free\", \"sans-gluten\"),\n176\t \"halal\": (\"halal\",),\n177\t \"casher\": (\"casher\", \"kascher\", \"kosher\"),\n178\t \"sans-noix\": (\"sans noix\", \"sans arachide\"),\n179\t \"epice\": (\"epice\", \"piquant\", \"spicy\"),\n180\t}\n181\t\n182\t\n183\tdef infer_dietary(menu: dict | None) -> list[str]:\n184\t \"\"\"Diètes offertes, déduites des tags et descriptions du menu.\"\"\"\n185\t if not menu:\n186\t return []\n187\t parts: list[str] = []\n188\t for sec in menu.get(\"sections\") or []:\n189\t for it in sec.get(\"items\") or []:\n190\t parts.append(it.get(\"name\") or \"\")\n191\t parts.append(it.get(\"description\") or \"\")\n192\t parts.extend(it.get(\"tags\") or [])\n193\t hay = strip_accents(\" \".join(parts).lower())\n194\t return [d for d, kws in _DIET_KEYWORDS.items() if any(k in hay for k in kws)]\n195\t\n196\t\n197\tdef infer_item_tags(name: str, description: str = \"\",\n198\t labels: list[str] | None = None) -> list[str]:\n199\t \"\"\"Tags diète d'un item de menu (vegan, sans-gluten, épicé…).\"\"\"\n200\t hay = strip_accents(\" \".join([name or \"\", description or \"\"]\n201\t + list(labels or [])).lower())\n202\t return [d for d, kws in _DIET_KEYWORDS.items() if any(k in hay for k in kws)]\n203\t\n204\t\n205\tdef price_range_from_menu(menu: dict | None) -> str:\n206\t \"\"\"Fourchette $ à $$$$ estimée sur le prix médian des items non nuls.\"\"\"\n207\t if not menu:\n208\t return \"\"\n209\t prices = [it.get(\"price\") for sec in menu.get(\"sections\") or []\n210\t for it in sec.get(\"items\") or []\n211\t if isinstance(it.get(\"price\"), (int, float)) and it[\"price\"] > 3]\n212\t if not prices:\n213\t return \"\"\n214\t med = statistics.median(prices)\n215\t if med < 15:\n216\t return \"$\"\n217\t if med < 30:\n218\t return \"$$\"\n219\t if med < 60:\n220\t return \"$$$\"\n221\t return \"$$$$\"\n222\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"10c7ebcd-f394-4018-b029-dfcbf53ca658","timestamp":"2026-08-25T20:56:29.371Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/dedup.py","usage":{"total_tokens":21494,"tool_uses":10,"duration_ms":7901},"last_tool_name":"Read","uuid":"f9b585f3-2a6b-4594-97fa-2d86d2f6373b","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mRE4BcvqsjvH94S3Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01448QA8eSHWMjL4CYtsn2P1","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/dedup.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8759,"cache_read_input_tokens":12647,"cache_creation":{"ephemeral_5m_input_tokens":8759,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"fcfab15c-14ba-49c1-a43d-103096068f1c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01448QA8eSHWMjL4CYtsn2P1","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/dedup.py\n4\t# Desc: Déduplication inter-sources des RESTAURANTS (CLAUDE.md §12.1) :\n5\t# un même resto publié sur plusieurs plateformes est fusionné vers une\n6\t# fiche canonique (dup_of) ; les succursales d'une chaîne ne sont\n7\t# JAMAIS fusionnées entre elles (une adresse = une fiche). Les menus\n8\t# restent conservés PAR CONTEXTE de prix (db.menus) — la préférence\n9\t# dine-in > takeout > delivery est appliquée au service (web.py).\n10\t# Inspiré de louka/dedup.py et de l'identité forte d'Auto·Ka.\n11\t# ==============================================================================\n12\tfrom __future__ import annotations\n13\t\n14\timport json\n15\timport re\n16\timport time\n17\t\n18\tfrom . import db\n19\tfrom .regions import strip_accents\n20\t\n21\t# Ordre de préférence des sources pour le choix de la fiche canonique :\n22\t# sources de première partie (prix réels) avant les plateformes de livraison,\n23\t# la découverte (osm) toujours en dernier — sa fiche s'efface derrière celle\n24\t# qui porte un menu.\n25\tSOURCE_PRIORITY = [\"ueat\", \"square\", \"toast\", \"gloriafood\", \"chownow\",\n26\t \"site-resto\", \"ubereats\", \"doordash\", \"skip\", \"osm\"]\n27\t\n28\t\n29\tdef _name_key(name: str) -> str:\n30\t \"\"\"Nom normalisé : accents, ponctuation, mots vides d'enseigne.\n31\t\n32\t Le suffixe de succursale (« Poulet Rouge — Beauport », « Ashton - 1e\n33\t avenue ») est retranché : l'identité géographique (coordonnées/postal)\n34\t distingue déjà les succursales, et les sources de découverte (OSM) nomment\n35\t l'enseigne sans suffixe.\"\"\"\n36\t s = (name or \"\")\n37\t for sep in (\" — \", \" – \", \" - \"):\n38\t if sep in s:\n39\t s = s.split(sep, 1)[0]\n40\t break\n41\t s = strip_accents(s.lower())\n42\t s = re.sub(r\"\\b(restaurant|resto|cafe|bistro|casse-croute|chez|le|la|les|du|de|des)\\b\",\n43\t \" \", s)\n44\t s = re.sub(r\"[^a-z0-9]+\", \" \", s)\n45\t return re.sub(r\"\\s+\", \" \", s).strip()\n46\t\n47\t\n48\tdef _phone_key(phone: str) -> str:\n49\t return re.sub(r\"\\D\", \"\", phone or \"\")[-10:]\n50\t\n51\t\n52\tdef fingerprints(row: dict) -> list[str]:\n53\t \"\"\"Empreintes d'identité d'un resto. Deux fiches partageant une empreinte\n54\t sont candidates à la fusion (même établissement, même adresse).\"\"\"\n55\t name = _name_key(row.get(\"name\") or \"\")\n56\t if not name:\n57\t return []\n58\t out = []\n59\t # nom + géolocalisation arrondie (~110 m) — la plus fiable\n60\t lat, lng = row.get(\"lat\"), row.get(\"lng\")\n61\t if lat is not None and lng is not None:\n62\t out.append(f\"{name}|{round(lat, 3)},{round(lng, 3)}\")\n63\t # nom + code postal (repli quand pas encore géocodé)\n64\t pc = (row.get(\"postal_code\") or \"\").replace(\" \", \"\").upper()\n65\t if pc:\n66\t out.append(f\"{name}|{pc}\")\n67\t # nom + téléphone\n68\t ph = _phone_key(row.get(\"phone\") or \"\")\n69\t if ph:\n70\t out.append(f\"{name}|{ph}\")\n71\t return out\n72\t\n73\t\n74\tdef _priority(source: str) -> int:\n75\t try:\n76\t return SOURCE_PRIORITY.index(source)\n77\t except ValueError:\n78\t return len(SOURCE_PRIORITY)\n79\t\n80\t\n81\tdef run() -> dict:\n82\t \"\"\"Déduplique les restos actifs. Retourne des statistiques.\"\"\"\n83\t con = db.connect()\n84\t rows = [dict(r) for r in con.execute(\n85\t \"SELECT uid, source, name, phone, postal_code, lat, lng\"\n86\t \" FROM restaurants WHERE active=1\")]\n87\t groups: dict[str, set[str]] = {}\n88\t by_uid = {r[\"uid\"]: r for r in rows}\n89\t for r in rows:\n90\t for fp in fingerprints(r):\n91\t groups.setdefault(fp, set()).add(r[\"uid\"])\n92\t\n93\t # union des groupes qui partagent une fiche (empreintes multiples)\n94\t parent: dict[str, str] = {}\n95\t\n96\t def find(u: str) -> str:\n97\t while parent.get(u, u) != u:\n98\t parent[u] = parent.get(parent[u], parent[u])\n99\t u = parent[u]\n100\t return u\n101\t\n102\t def union(a: str, b: str) -> None:\n103\t ra, rb = find(a), find(b)\n104\t if ra != rb:\n105\t parent[rb] = ra\n106\t\n107\t for uids in groups.values():\n108\t uids = sorted(uids)\n109\t for other in uids[1:]:\n110\t union(uids[0], other)\n111\t\n112\t clusters: dict[str, list[str]] = {}\n113\t for r in rows:\n114\t clusters.setdefault(find(r[\"uid\"]), []).append(r[\"uid\"])\n115\t\n116\t now = time.time()\n117\t merged = 0\n118\t for members in clusters.values():\n119\t if len(members) < 2:\n120\t continue\n121\t # une fiche par SOURCE au maximum peut être fusionnée : deux fiches de\n122\t # la même source = deux succursales (jamais fusionnées, §12.1)\n123\t by_source: dict[str, str] = {}\n124\t for uid in sorted(members, key=lambda u: _priority(by_uid[u][\"source\"])):\n125\t src = by_uid[uid][\"source\"]\n126\t if src in by_source:\n127\t continue\n128\t by_source[src] = uid\n129\t canon, *dups = list(by_source.values())\n130\t if not dups:\n131\t continue\n132\t dup_sources = sorted({by_uid[u][\"source\"] for u in dups})\n133\t con.execute(\"UPDATE restaurants SET dup_sources=?, updated_at=? WHERE uid=?\",\n134\t (json.dumps(dup_sources, ensure_ascii=False), now, canon))\n135\t for uid in dups:\n136\t con.execute(\"UPDATE restaurants SET dup_of=?, updated_at=? WHERE uid=?\",\n137\t (canon, now, uid))\n138\t merged += 1\n139\t print(f\"[resto-ka] dedup: {canon} <- {dups}\") # journaliser (§12.1)\n140\t con.commit()\n141\t con.close()\n142\t return {\"clusters\": sum(1 for m in clusters.values() if len(m) > 1),\n143\t \"merged\": merged}\n144\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"f761cced-122d-4906-b615-90e1a3ababc9","timestamp":"2026-08-25T20:56:29.415Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/db.py","usage":{"total_tokens":21495,"tool_uses":11,"duration_ms":8050},"last_tool_name":"Read","uuid":"3b479892-9caa-47ca-928f-98c57a05a0b4","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mRE4BcvqsjvH94S3Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V64S1PLurrAB4pSAeHCvxq","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/db.py","limit":300},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8759,"cache_read_input_tokens":12647,"cache_creation":{"ephemeral_5m_input_tokens":8759,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"318241b3-db47-4ce3-b58d-448e4f7a95ac"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V64S1PLurrAB4pSAeHCvxq","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/db.py\n4\t# Desc: Persistance SQLite — upsert des restaurants avec détection de\n5\t# changements, menus conservés PAR CONTEXTE de prix (dine-in/takeout/\n6\t# delivery, jamais écrasés entre eux), historique des prix par item,\n7\t# cycle de vie avec délai de grâce, détection de dérive (connecteur\n8\t# cassé), caches détail et géocodage. Calqué sur louka/db.py.\n9\t# ==============================================================================\n10\tfrom __future__ import annotations\n11\t\n12\timport json\n13\timport sqlite3\n14\timport statistics\n15\timport time\n16\tfrom pathlib import Path\n17\t\n18\tfrom .schema import Restaurant\n19\t\n20\tDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"restoka.db\"\n21\t\n22\t# Nombre d'exécutions consécutives où un resto doit être absent de la source\n23\t# avant d'être marqué temporarily_closed (délai de grâce contre les ratés).\n24\tMISS_GRACE = 2\n25\t\n26\t# Dérive source : si une source retourne <= DRIFT_RATIO × sa médiane historique\n27\t# (médiane >= DRIFT_MIN_BASE restos), on alerte et on suspend les retraits.\n28\tDRIFT_RATIO = 0.25\n29\tDRIFT_MIN_BASE = 4\n30\tDRIFT_HISTORY = 5\n31\t\n32\t# Garde « bootstrap » (source trop jeune pour une médiane fiable) : dès qu'il\n33\t# existe AU MOINS un run ok, si le run courant retourne moins de\n34\t# BOOTSTRAP_RATIO × le MAXIMUM historique, on suspend les retraits. Protège\n35\t# contre un run partiel (miroirs Overpass en 504…) qui, avec <3 runs\n36\t# d'historique, passait sous le radar de la garde médiane (incident du run\n37\t# OSM #2 : 6 213 trouvés vs 13 531 -> 7 354 fausses quasi-fermetures).\n38\tBOOTSTRAP_RATIO = 0.60\n39\t\n40\t# Dérive menu : si le nombre d'items d'un resto chute sous MENU_DROP_RATIO ×\n41\t# le compte précédent (précédent >= MENU_DROP_MIN items), on conserve l'ancien\n42\t# menu et on consigne l'alerte (connecteur probablement cassé — CLAUDE.md §18).\n43\tMENU_DROP_RATIO = 0.25\n44\tMENU_DROP_MIN = 8\n45\t\n46\t_SCHEMA = \"\"\"\n47\tCREATE TABLE IF NOT EXISTS restaurants (\n48\t uid TEXT PRIMARY KEY, -- source:external_id\n49\t source TEXT NOT NULL,\n50\t external_id TEXT NOT NULL,\n51\t name TEXT,\n52\t chain TEXT,\n53\t cuisines TEXT, -- JSON (taxonomie §6.1)\n54\t establishment_type TEXT,\n55\t price_range TEXT,\n56\t address TEXT,\n57\t city TEXT,\n58\t region TEXT, -- une des 17 régions\n59\t postal_code TEXT,\n60\t lat REAL,\n61\t lng REAL,\n62\t phone TEXT,\n63\t website TEXT,\n64\t url TEXT,\n65\t hours TEXT, -- JSON\n66\t services TEXT, -- JSON\n67\t dietary_options TEXT, -- JSON\n68\t languages TEXT, -- JSON\n69\t images TEXT, -- JSON (logo + photos, URLs absolues)\n70\t status TEXT DEFAULT 'open',\n71\t geocode_failed INTEGER DEFAULT 0,\n72\t content_hash TEXT,\n73\t first_seen REAL,\n74\t last_seen REAL,\n75\t updated_at REAL,\n76\t miss_count INTEGER DEFAULT 0,\n77\t active INTEGER DEFAULT 1,\n78\t dup_of TEXT, -- uid canonique si doublon inter-sources\n79\t dup_sources TEXT -- JSON : autres sources où le resto est publié\n80\t);\n81\tCREATE INDEX IF NOT EXISTS idx_restaurants_source ON restaurants(source);\n82\tCREATE INDEX IF NOT EXISTS idx_restaurants_city ON restaurants(city);\n83\tCREATE INDEX IF NOT EXISTS idx_restaurants_region ON restaurants(region);\n84\tCREATE INDEX IF NOT EXISTS idx_restaurants_active ON restaurants(active);\n85\tCREATE INDEX IF NOT EXISTS idx_restaurants_geo ON restaurants(lat, lng);\n86\t\n87\t-- Un menu PAR CONTEXTE de prix : un menu dine-in n'est JAMAIS écrasé par un\n88\t-- menu delivery (CLAUDE.md §12.2) — on conserve les deux, l'API sert le\n89\t-- meilleur contexte disponible (dine-in > takeout > delivery).\n90\tCREATE TABLE IF NOT EXISTS menus (\n91\t uid TEXT NOT NULL, -- restaurants.uid\n92\t price_context TEXT NOT NULL, -- dine-in | takeout | delivery\n93\t price_source TEXT NOT NULL, -- source du prix (traçabilité)\n94\t currency TEXT DEFAULT 'CAD',\n95\t captured_at TEXT, -- ISO-8601 (fraîcheur)\n96\t item_count INTEGER,\n97\t sections TEXT, -- JSON : sections -> items -> options\n98\t PRIMARY KEY (uid, price_context)\n99\t);\n100\t\n101\t-- Historique des prix par item (détection des hausses, crédibilité §12.2).\n102\tCREATE TABLE IF NOT EXISTS item_price_log (\n103\t uid TEXT NOT NULL,\n104\t price_context TEXT NOT NULL,\n105\t item_key TEXT NOT NULL, -- \"section :: item\" normalisé\n106\t ts REAL NOT NULL,\n107\t price REAL\n108\t);\n109\tCREATE INDEX IF NOT EXISTS idx_item_price_log ON item_price_log(uid, item_key);\n110\t\n111\tCREATE TABLE IF NOT EXISTS sync_log (\n112\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n113\t source TEXT,\n114\t ts REAL,\n115\t found INTEGER,\n116\t added INTEGER,\n117\t updated INTEGER,\n118\t removed INTEGER,\n119\t ok INTEGER,\n120\t message TEXT,\n121\t stats TEXT -- JSON : items totaux, taux sans prix, alertes…\n122\t);\n123\t\n124\tCREATE TABLE IF NOT EXISTS detail_cache (\n125\t source TEXT NOT NULL,\n126\t external_id TEXT NOT NULL,\n127\t key TEXT,\n128\t payload TEXT,\n129\t fetched_at REAL,\n130\t PRIMARY KEY (source, external_id)\n131\t);\n132\t\n133\tCREATE TABLE IF NOT EXISTS geocode_cache (\n134\t address TEXT PRIMARY KEY,\n135\t lat REAL,\n136\t lng REAL,\n137\t provider TEXT,\n138\t failed INTEGER DEFAULT 0,\n139\t ts REAL\n140\t);\n141\t\n142\t-- Comptes membres — connexion « Se connecter avec KA » (hub groupe-ka.com).\n143\tCREATE TABLE IF NOT EXISTS users (\n144\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n145\t hub_sub TEXT UNIQUE, -- identifiant stable du hub (« ka: »)\n146\t ka_id TEXT UNIQUE, -- identifiant membre « ka-0123456789 »\n147\t email TEXT,\n148\t name TEXT,\n149\t picture TEXT,\n150\t created_at REAL,\n151\t last_login REAL\n152\t);\n153\t\n154\tCREATE TABLE IF NOT EXISTS favorites (\n155\t user_id INTEGER NOT NULL,\n156\t uid TEXT NOT NULL, -- restaurants.uid\n157\t ts REAL,\n158\t PRIMARY KEY (user_id, uid)\n159\t);\n160\t\n161\t-- Inspections alimentaires MAPAQ (« Condamnations des établissements\n162\t-- alimentaires », Données Québec, licence CC-BY 4.0). Table LIÉE : le\n163\t-- croisement conservateur avec restaurants remplit `uid` (sinon NULL).\n164\tCREATE TABLE IF NOT EXISTS inspections (\n165\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n166\t row_hash TEXT UNIQUE, -- anti-doublon au ré-import\n167\t exploitant TEXT, -- Nom_exploitant (entité légale)\n168\t etablissement TEXT, -- Raison_sociale (nom commercial)\n169\t description TEXT, -- Description_infraction\n170\t adresse TEXT, -- Adresse_lieu_infraction (brute)\n171\t postal_code TEXT, -- extrait de l'adresse (A1A1A1)\n172\t type_etablissement TEXT, -- Type_etablissement MAPAQ\n173\t categorie TEXT, -- regroupement (RESTAURATION, LAIT…)\n174\t date_infraction TEXT, -- ISO-8601 (date seulement)\n175\t date_jugement TEXT,\n176\t date_publication TEXT,\n177\t montant_amende REAL,\n178\t loi TEXT,\n179\t motif TEXT, -- SOC_NOM_ARTCL_INFRC (INSALUBRITE…)\n180\t uid TEXT, -- restaurants.uid si croisement réussi\n181\t matched_by TEXT -- nom+ville | adresse+nom (traçabilité)\n182\t);\n183\tCREATE INDEX IF NOT EXISTS idx_inspections_uid ON inspections(uid);\n184\t\"\"\"\n185\t\n186\t\n187\t# Colonnes ajoutées après la v1 — migration automatique des bases existantes\n188\t# (même mécanisme que louka/db.py).\n189\t_MIGRATIONS = {\n190\t \"restaurants\": {\n191\t \"images\": \"TEXT\",\n192\t # enrichissements hors connecteurs (réservation, Yelp, MAPAQ…) —\n193\t # JAMAIS touché par sync_source : survit aux re-crawls des sources\n194\t \"details\": \"TEXT\",\n195\t },\n196\t}\n197\t\n198\t\n199\tdef connect(path: Path | None = None) -> sqlite3.Connection:\n200\t db_path = path or DB_PATH\n201\t db_path.parent.mkdir(parents=True, exist_ok=True)\n202\t con = sqlite3.connect(db_path)\n203\t con.row_factory = sqlite3.Row\n204\t con.executescript(_SCHEMA)\n205\t for table, cols in _MIGRATIONS.items():\n206\t existing = {r[\"name\"] for r in con.execute(f\"PRAGMA table_info({table})\")}\n207\t for col, decl in cols.items():\n208\t if col not in existing:\n209\t con.execute(f\"ALTER TABLE {table} ADD COLUMN {col} {decl}\")\n210\t con.commit()\n211\t return con\n212\t\n213\t\n214\t# ---------------------------------------------------------------------------\n215\t# Menus & historique des prix\n216\t# ---------------------------------------------------------------------------\n217\t\n218\tdef _item_key(section: str, item: str) -> str:\n219\t return f\"{(section or '').strip().lower()} :: {(item or '').strip().lower()}\"\n220\t\n221\t\n222\tdef _menu_items(menu: dict) -> dict[str, float | None]:\n223\t \"\"\"{item_key: prix} pour la comparaison et l'historique.\"\"\"\n224\t out: dict[str, float | None] = {}\n225\t for sec in menu.get(\"sections\") or []:\n226\t for it in sec.get(\"items\") or []:\n227\t out[_item_key(sec.get(\"name\"), it.get(\"name\"))] = it.get(\"price\")\n228\t return out\n229\t\n230\t\n231\tdef upsert_menu(con: sqlite3.Connection, uid: str, menu: dict,\n232\t now: float) -> dict:\n233\t \"\"\"Insère/actualise le menu d'un resto POUR SON CONTEXTE de prix.\n234\t\n235\t - historise chaque changement de prix d'item (item_price_log) ;\n236\t - garde-fou : chute anormale du nombre d'items -> on conserve l'ancien\n237\t menu et on retourne une alerte (connecteur probablement cassé).\n238\t \"\"\"\n239\t ctx = menu[\"price_context\"]\n240\t new_items = _menu_items(menu)\n241\t row = con.execute(\n242\t \"SELECT sections, item_count FROM menus WHERE uid=? AND price_context=?\",\n243\t (uid, ctx)).fetchone()\n244\t\n245\t alert = None\n246\t if row is not None:\n247\t old_count = row[\"item_count\"] or 0\n248\t if (old_count >= MENU_DROP_MIN\n249\t and len(new_items) <= MENU_DROP_RATIO * old_count):\n250\t return {\"alert\": (f\"{uid}[{ctx}]: {len(new_items)} item(s) contre \"\n251\t f\"{old_count} auparavant — ancien menu conservé\")}\n252\t # sections est stocké comme liste JSON : reconstruire le dict attendu\n253\t try:\n254\t old_sections = json.loads(row[\"sections\"] or \"[]\")\n255\t except ValueError:\n256\t old_sections = []\n257\t old_items = _menu_items({\"sections\": old_sections})\n258\t for key, price in new_items.items():\n259\t if key not in old_items or old_items[key] != price:\n260\t con.execute(\n261\t \"INSERT INTO item_price_log (uid, price_context, item_key,\"\n262\t \" ts, price) VALUES (?,?,?,?,?)\",\n263\t (uid, ctx, key, now, price))\n264\t else:\n265\t for key, price in new_items.items():\n266\t if price is not None:\n267\t con.execute(\n268\t \"INSERT INTO item_price_log (uid, price_context, item_key,\"\n269\t \" ts, price) VALUES (?,?,?,?,?)\",\n270\t (uid, ctx, key, now, price))\n271\t\n272\t con.execute(\n273\t \"INSERT INTO menus (uid, price_context, price_source, currency,\"\n274\t \" captured_at, item_count, sections) VALUES (?,?,?,?,?,?,?)\"\n275\t \" ON CONFLICT(uid, price_context) DO UPDATE SET\"\n276\t \" price_source=excluded.price_source, currency=excluded.currency,\"\n277\t \" captured_at=excluded.captured_at, item_count=excluded.item_count,\"\n278\t \" sections=excluded.sections\",\n279\t (uid, ctx, menu[\"price_source\"], menu.get(\"currency\", \"CAD\"),\n280\t menu.get(\"captured_at\"), len(new_items),\n281\t json.dumps(menu.get(\"sections\") or [], ensure_ascii=False)))\n282\t return {\"alert\": alert}\n283\t\n284\t\n285\t# ---------------------------------------------------------------------------\n286\t# Synchronisation d'une source\n287\t# ---------------------------------------------------------------------------\n288\t\n289\tdef _drift_alert(con: sqlite3.Connection, source: str, found: int) -> str | None:\n290\t hist = con.execute(\n291\t \"SELECT found FROM sync_log WHERE source=? AND ok=1\"\n292\t \" ORDER BY ts DESC LIMIT ?\", (source, DRIFT_HISTORY)).fetchall()\n293\t if not hist:\n294\t return None\n295\t # Garde bootstrap : active dès le 2e run, MÊME sans 3 runs d'historique.\n296\t max_found = max(r[\"found\"] for r in hist)\n297\t if max_found >= DRIFT_MIN_BASE and found < BOOTSTRAP_RATIO * max_found:\n298\t return (f\"dérive: {found} resto(s) trouvé(s) contre un maximum \"\n299\t f\"historique de {max_found} — retraits suspendus, \"\n300\t \"vérifier le connecteur\")\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"bce7f937-e4b6-4273-b770-7b4d248b0f3c","timestamp":"2026-08-25T20:56:29.566Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Reading ~/apps/lou-ka/louka/connectors/base.py","usage":{"total_tokens":24361,"tool_uses":3,"duration_ms":4126},"last_tool_name":"Read","uuid":"a163dc7d-19b4-4db4-a00d-44304e43709f","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mV2WAZC4PKv2Swj5m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qymivo9jy4WE6jvaVaa8sU","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/base.py","limit":200},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":14163,"cache_read_input_tokens":10176,"cache_creation":{"ephemeral_5m_input_tokens":14163,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"a74b2e3c-ce98-4b11-b6eb-6acedc6e8777"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qymivo9jy4WE6jvaVaa8sU","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# connectors/base.py : classe de base des connecteurs + backends de fetch\n5\t# (requests direct, Firecrawl ou Scrapfly pour les sites\n6\t# JavaScript / derrière anti-bot)\n7\t# -----------------------------------------------------------------------------\n8\tfrom __future__ import annotations\n9\t\n10\timport json\n11\timport os\n12\timport time\n13\t\n14\timport requests\n15\t\n16\tfrom ..schema import Listing\n17\t\n18\tUSER_AGENT = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) \"\n19\t \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 \"\n20\t \"LouKaBot/1.0 (+https://www.lou-ka.com/bot; contact@spboucher.ai)\")\n21\t\n22\tFIRECRAWL_API = \"https://api.firecrawl.dev/v1/scrape\"\n23\tSCRAPFLY_API = \"https://api.scrapfly.io/scrape\"\n24\t\n25\t\n26\tclass BaseConnector:\n27\t \"\"\"Un connecteur = un adaptateur propre à un site d'agence.\n28\t\n29\t Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n30\t la liste complète des annonces actuellement affichées sur le site.\n31\t Le pipeline (ingest.py) s'occupe du diff avec la base de données.\n32\t \"\"\"\n33\t\n34\t source_id: str = \"\"\n35\t request_delay: float = 0.6 # politesse entre requêtes\n36\t timeout: int = 30\n37\t use_detail_cache: bool = True # cache BD des pages détail\n38\t disabled: bool = False # True = source hors-ligne : le module est\n39\t # conservé mais exclu du registre (connectors/__init__.py) et donc de l'ingestion\n40\t\n41\t def __init__(self) -> None:\n42\t self.session = requests.Session()\n43\t self.session.headers[\"User-Agent\"] = USER_AGENT\n44\t self._last_request = 0.0\n45\t self._detail_con = None\n46\t\n47\t # -- backends -------------------------------------------------------------\n48\t def get(self, url: str, **kw) -> requests.Response:\n49\t \"\"\"GET direct avec throttling poli.\"\"\"\n50\t wait = self.request_delay - (time.time() - self._last_request)\n51\t if wait > 0:\n52\t time.sleep(wait)\n53\t resp = self.session.get(url, timeout=self.timeout, **kw)\n54\t self._last_request = time.time()\n55\t resp.raise_for_status()\n56\t return resp\n57\t\n58\t def post(self, url: str, **kw) -> requests.Response:\n59\t \"\"\"POST direct avec throttling poli (APIs de recherche internes).\"\"\"\n60\t wait = self.request_delay - (time.time() - self._last_request)\n61\t if wait > 0:\n62\t time.sleep(wait)\n63\t resp = self.session.post(url, timeout=self.timeout, **kw)\n64\t self._last_request = time.time()\n65\t resp.raise_for_status()\n66\t return resp\n67\t\n68\t def get_rendered(self, url: str) -> str:\n69\t \"\"\"Récupère le HTML rendu (JavaScript exécuté) via Firecrawl.\n70\t\n71\t Nécessite FIRECRAWL_API_KEY dans l'environnement (.env).\n72\t À utiliser pour les sites SPA (Logisco, Locago, etc.).\n73\t \"\"\"\n74\t key = os.environ.get(\"FIRECRAWL_API_KEY\")\n75\t if not key:\n76\t raise RuntimeError(\"FIRECRAWL_API_KEY manquant (voir .env)\")\n77\t resp = requests.post(\n78\t FIRECRAWL_API,\n79\t json={\"url\": url, \"formats\": [\"html\"]},\n80\t headers={\"Authorization\": f\"Bearer {key}\"},\n81\t timeout=90,\n82\t )\n83\t resp.raise_for_status()\n84\t data = resp.json()\n85\t return (data.get(\"data\") or {}).get(\"html\", \"\")\n86\t\n87\t def scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n88\t rendering_wait: int = 0, country: str = \"ca\",\n89\t wait_for_selector: str | None = None,\n90\t js_scenario: list | str | None = None,\n91\t proxy_pool: str | None = None, headers: dict | None = None,\n92\t method: str = \"GET\", body: str | None = None) -> dict:\n93\t \"\"\"Appel Scrapfly complet — retourne le dict `result` (content, status_code…).\n94\t\n95\t - `js_scenario` : liste d'étapes [{\"scroll_y\":…},{\"wait\":…}] (encodée base64)\n96\t pour charger les listes virtualisées (BoldTrail/kvCORE, etc.).\n97\t - `proxy_pool` : ex. \"public_residential_pool\" (WAF/anti-bot agressif).\n98\t - `headers`/`method`/`body` : pour REJOUER une API JSON interne via ASP.\n99\t \"\"\"\n100\t import base64\n101\t key = os.environ.get(\"SCRAPFLY_KEY\")\n102\t if not key:\n103\t raise RuntimeError(\"SCRAPFLY_KEY manquant (voir .env)\")\n104\t params: dict = {\"key\": key, \"url\": url, \"country\": country}\n105\t if asp:\n106\t params[\"asp\"] = \"true\"\n107\t if render_js:\n108\t params[\"render_js\"] = \"true\"\n109\t if rendering_wait:\n110\t params[\"rendering_wait\"] = rendering_wait\n111\t if wait_for_selector:\n112\t params[\"wait_for_selector\"] = wait_for_selector\n113\t if proxy_pool:\n114\t params[\"proxy_pool\"] = proxy_pool\n115\t if js_scenario is not None:\n116\t js = js_scenario if isinstance(js_scenario, str) else json.dumps(js_scenario)\n117\t params[\"js_scenario\"] = base64.urlsafe_b64encode(js.encode()).decode()\n118\t if headers:\n119\t for k, v in headers.items():\n120\t params[f\"headers[{k}]\"] = v\n121\t wait = self.request_delay - (time.time() - self._last_request)\n122\t if wait > 0:\n123\t time.sleep(wait)\n124\t if method.upper() == \"POST\":\n125\t resp = requests.post(SCRAPFLY_API, params=params,\n126\t data=(body or \"\"), timeout=180)\n127\t else:\n128\t resp = requests.get(SCRAPFLY_API, params=params, timeout=180)\n129\t self._last_request = time.time()\n130\t try:\n131\t return resp.json().get(\"result\") or {}\n132\t except ValueError:\n133\t return {}\n134\t\n135\t def get_scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n136\t rendering_wait: int = 0, country: str = \"ca\",\n137\t wait_for_selector: str | None = None,\n138\t js_scenario: list | str | None = None,\n139\t proxy_pool: str | None = None) -> str:\n140\t \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne\n141\t le HTML (result.content) ou \"\" en cas d'échec ASP.\"\"\"\n142\t return self.scrapfly(url, render_js=render_js, asp=asp,\n143\t rendering_wait=rendering_wait, country=country,\n144\t wait_for_selector=wait_for_selector,\n145\t js_scenario=js_scenario, proxy_pool=proxy_pool\n146\t ).get(\"content\") or \"\"\n147\t\n148\t def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n149\t \"\"\"Payload « page détail » avec cache : `fetch_fn` n'est appelé que si\n150\t l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.\n151\t\n152\t Permet d'extraire les champs riches (description, inclusions, contact…)\n153\t sans revisiter chaque page détail à chaque synchronisation.\n154\t `fetch_fn` doit retourner un dict JSON-sérialisable.\n155\t \"\"\"\n156\t if not self.use_detail_cache:\n157\t return fetch_fn() or {}\n158\t from .. import db\n159\t if self._detail_con is None:\n160\t self._detail_con = db.connect()\n161\t cached = db.get_cached_detail(self._detail_con, self.source_id,\n162\t str(external_id), key)\n163\t if cached is not None:\n164\t return cached\n165\t payload = fetch_fn() or {}\n166\t db.put_cached_detail(self._detail_con, self.source_id,\n167\t str(external_id), key, payload)\n168\t return payload\n169\t\n170\t # -- contrat --------------------------------------------------------------\n171\t def fetch(self) -> list[Listing]:\n172\t raise NotImplementedError\n173\t\n174\t\n175\t# =============================================================================\n176\t# Résilience anti-bot (Groupe KA) — auto-escalade de get() sans toucher au corps.\n177\t# Ajouté par l'orchestrateur KA : enrobe BaseConnector.get pour qu'un blocage\n178\t# anti-bot (403/429/503/challenge) ou une coupure réseau déclenche la chaîne\n179\t# de secours (Oxylabs résidentiel -> Scrapfly ASP -> Bright Data). Voir\n180\t# connectors/_resilient.py. Idempotent (marqueur _KA_RESILIENT_WRAPPED).\n181\t# =============================================================================\n182\tif not getattr(BaseConnector, \"_KA_RESILIENT_WRAPPED\", False):\n183\t import requests as _ka_requests # noqa: E402\n184\t from . import _resilient as _kar # noqa: E402\n185\t\n186\t _ka_orig_get = BaseConnector.get\n187\t\n188\t def _ka_full_url(url, kw):\n189\t try:\n190\t return _ka_requests.Request(\"GET\", url,\n191\t params=kw.get(\"params\")).prepare().url\n192\t except Exception: # noqa: BLE001\n193\t return url\n194\t\n195\t def _ka_resilient_get(self, url, **kw):\n196\t timeout = getattr(self, \"timeout\", 30)\n197\t headers = kw.get(\"headers\")\n198\t try:\n199\t return _ka_orig_get(self, url, **kw)\n200\t except _ka_requests.HTTPError as exc:\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"8264926c-e11a-448a-8e35-7bdc1437c369","timestamp":"2026-08-25T20:56:30.276Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Reading ~/apps/lou-ka/louka/connectors/_resilient.py","usage":{"total_tokens":24365,"tool_uses":4,"duration_ms":4442},"last_tool_name":"Read","uuid":"6ca44fe2-e6df-4f3f-a2dd-d06423d54fc6","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mV2WAZC4PKv2Swj5m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ALxjuBgUt3joGHw23imtfZ","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/_resilient.py","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":14163,"cache_read_input_tokens":10176,"cache_creation":{"ephemeral_5m_input_tokens":14163,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"98045f25-863a-427a-803c-007abbef693e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALxjuBgUt3joGHw23imtfZ","type":"tool_result","content":"1\t# =============================================================================\n2\t# Groupe KA — connecteurs : chaîne de fetch anti-bot RÉSILIENTE (commune)\n3\t# Auteur : Simon-Pierre Boucher \n4\t# Fichier : connectors/_resilient.py\n5\t# -----------------------------------------------------------------------------\n6\t# But : rendre les connecteurs durables dans le temps. Quand un site jusque-là\n7\t# ouvert déploie un anti-bot (Cloudflare / Akamai / Incapsula / PerimeterX) ou\n8\t# renvoie 403/429/503, la requête directe N'ÉCHOUE PLUS silencieusement : elle\n9\t# ESCALADE automatiquement à travers une chaîne de secours :\n10\t#\n11\t# 1. Direct — la session du connecteur (curl_cffi impersonate si\n12\t# dispo, sinon requests) : rapide et gratuit.\n13\t# 2. Oxylabs (résid.) — proxy résidentiel Canada (-cc-CA) : IP propre.\n14\t# 3. Scrapfly (ASP) — bypass anti-bot géré + rendu JS optionnel.\n15\t# 4. Bright Data — Web Unlocker : déblocage premium, dernier recours.\n16\t#\n17\t# Le premier backend qui renvoie un 200 non vide gagne. Si TOUS échouent, on\n18\t# renvoie la dernière réponse (avec son code d'erreur) pour que le connecteur\n19\t# journalise l'échec comme avant — aucun changement de comportement en cas\n20\t# d'échec total, aucun blocage silencieux.\n21\t#\n22\t# Conception :\n23\t# - Aucun effet de bord à l'import ; toute brique non configurée est sautée.\n24\t# - Les clés sont lues de os.environ, avec repli sur le .env de l'app puis\n25\t# ~/.claude/.env, et acceptent les deux noms Scrapfly (SCRAPFLY_KEY /\n26\t# SCRAPFLY_API_KEY). => aucune modif de .env nécessaire.\n27\t# - `_ResilientResponse` imite requests.Response (.text/.content/.status_code/\n28\t# .url/.headers/.json()/.ok/.raise_for_status()) : les connecteurs existants\n29\t# continuent de fonctionner sans modification.\n30\t# - Coupe-circuit par hôte : après plusieurs escalades totalement infructueuses\n31\t# sur un même hôte, on saute l'escalade payante pendant un temps de repos\n32\t# (évite de brûler du quota Scrapfly/Bright Data sur une source morte).\n33\t# =============================================================================\n34\tfrom __future__ import annotations\n35\t\n36\timport json as _json\n37\timport os\n38\timport time\n39\tfrom pathlib import Path\n40\tfrom urllib.parse import quote, urlsplit\n41\t\n42\timport requests\n43\t\n44\t# -- curl_cffi est OPTIONNEL (meilleur fingerprint TLS s'il est présent) ------\n45\ttry: # pragma: no cover\n46\t from curl_cffi import requests as _cffi # type: ignore\n47\t _HAS_CFFI = True\n48\texcept Exception: # noqa: BLE001\n49\t _cffi = None\n50\t _HAS_CFFI = False\n51\t\n52\t# Codes HTTP typiques d'un blocage anti-bot (≠ 401/404/410/500 « métier » :\n53\t# 401 = auth manquante, 403/429 = bot bloqué, 5xx CF = challenge/edge).\n54\tBLOCK_STATUS = {403, 429, 503, 520, 521, 522, 523, 524, 526, 1020}\n55\t\n56\t# Marqueurs de page-challenge (Cloudflare/Akamai/Incapsula/PerimeterX/DataDome).\n57\t_CHALLENGE_MARKERS = (\n58\t \"just a moment\", \"cf-browser-verification\", \"cf-challenge\",\n59\t \"attention required\", \"access denied\", \"request unsuccessful\",\n60\t \"px-captcha\", \"perimeterx\", \"incapsula\", \"_incapsula_\", \"datadome\",\n61\t \"captcha-delivery\", \"please enable javascript and cookies\",\n62\t \"checking your browser\", \"ddos protection by\",\n63\t)\n64\t\n65\t_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"\n66\t \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")\n67\t\n68\t# Coupe-circuit en mémoire : hôte -> (timestamp_jusquà, échecs_consécutifs)\n69\t_COOLDOWN: dict[str, tuple[float, int]] = {}\n70\t_COOLDOWN_HITS = 3 # nb d'échecs totaux avant repos\n71\t_COOLDOWN_SECONDS = 900.0 # 15 min de repos pour un hôte « mort »\n72\t\n73\t# -- chargement paresseux des secrets ----------------------------------------\n74\t_ENV_CACHE: dict[str, str] | None = None\n75\t\n76\t\n77\tdef _load_env_files() -> dict[str, str]:\n78\t \"\"\"Parse les .env candidats une seule fois (repli si os.environ vide).\"\"\"\n79\t global _ENV_CACHE\n80\t if _ENV_CACHE is not None:\n81\t return _ENV_CACHE\n82\t out: dict[str, str] = {}\n83\t candidates = []\n84\t # .env de l'app (remonte quelques niveaux depuis ce module)\n85\t here = Path(__file__).resolve()\n86\t for up in range(2, 6):\n87\t try:\n88\t candidates.append(here.parents[up] / \".env\")\n89\t except IndexError:\n90\t break\n91\t candidates.append(Path.home() / \".claude\" / \".env\")\n92\t for path in candidates:\n93\t try:\n94\t if not path.is_file():\n95\t continue\n96\t for line in path.read_text(encoding=\"utf-8\", errors=\"ignore\").splitlines():\n97\t line = line.strip()\n98\t if not line or line.startswith(\"#\") or \"=\" not in line:\n99\t continue\n100\t k, _, v = line.partition(\"=\")\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"33acec71-c23a-409a-882a-97ca9896c928","timestamp":"2026-08-25T20:56:30.592Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Running find /Users/simon-pierreboucher/apps/lou-ka/louka…","usage":{"total_tokens":24369,"tool_uses":5,"duration_ms":4786},"last_tool_name":"Bash","uuid":"1d56cb19-eefd-4108-98cb-31b90916a6ee","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mV2WAZC4PKv2Swj5m","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AbAtVhwxkmDbVS6VWTGdbo","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/lou-ka/louka -name \"*scrapfly*\" -o -name \"*geocod*\" -o -name \"*dedup*\" 2>/dev/null | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":14163,"cache_read_input_tokens":10176,"cache_creation":{"ephemeral_5m_input_tokens":14163,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"e1680805-718c-40f7-a85f-a530889acfe0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AbAtVhwxkmDbVS6VWTGdbo","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/__pycache__/geocode.cpython-314.pyc\n/Users/simon-pierreboucher/apps/lou-ka/louka/__pycache__/dedup.cpython-314.pyc\n/Users/simon-pierreboucher/apps/lou-ka/louka/dedup.py","is_error":false}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"4c4a7302-9513-4089-8b30-b2a446ef95ae","timestamp":"2026-08-25T20:56:30.958Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/db.py","usage":{"total_tokens":31977,"tool_uses":12,"duration_ms":9664},"last_tool_name":"Read","uuid":"88ec9de5-134c-43ab-a5d9-97b96f660cff","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mZ2rckr6La3odEFFB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GNjwv3zmAWmxMk5HoVToiY","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/db.py","offset":300,"limit":250},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":10476,"cache_read_input_tokens":21406,"cache_creation":{"ephemeral_5m_input_tokens":10476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"ea9c0da4-7dc6-4fae-b5cd-c6b8fcbc43c5"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GNjwv3zmAWmxMk5HoVToiY","type":"tool_result","content":"300\t \"vérifier le connecteur\")\n301\t if len(hist) < 3:\n302\t return None\n303\t med_found = statistics.median(r[\"found\"] for r in hist)\n304\t if med_found >= DRIFT_MIN_BASE and found <= DRIFT_RATIO * med_found:\n305\t return (f\"dérive: {found} resto(s) trouvé(s) contre une médiane de \"\n306\t f\"{med_found:.0f} — retraits suspendus, vérifier le connecteur\")\n307\t return None\n308\t\n309\t\n310\tdef sync_source(con: sqlite3.Connection, source: str,\n311\t restaurants: list[Restaurant],\n312\t partial: bool = False) -> dict:\n313\t \"\"\"Synchronise les restaurants d'une source.\n314\t\n315\t - nouveau resto -> insertion (+ menu, + historique de prix initial)\n316\t - resto modifié -> mise à jour (comparaison de content_hash)\n317\t - resto disparu -> miss_count += 1, puis status=temporarily_closed\n318\t après MISS_GRACE exécutions (délai de grâce, jamais de suppression)\n319\t - dérive détectée -> alerte consignée, retraits suspendus\n320\t - `partial=True` -> le connecteur signale un run incomplet (un\n321\t sous-ensemble de requêtes a échoué) : retraits suspendus d'office\n322\t \"\"\"\n323\t now = time.time()\n324\t added = updated = 0\n325\t seen_uids = set()\n326\t menu_alerts: list[str] = []\n327\t\n328\t n = len(restaurants)\n329\t total_items = 0\n330\t items_sans_prix = 0\n331\t for r in restaurants:\n332\t if r.menu:\n333\t for sec in r.menu.get(\"sections\") or []:\n334\t for it in sec.get(\"items\") or []:\n335\t total_items += 1\n336\t if it.get(\"price\") is None:\n337\t items_sans_prix += 1\n338\t\n339\t alert = _drift_alert(con, source, n)\n340\t if partial and not alert:\n341\t alert = (\"run partiel signalé par le connecteur — \"\n342\t \"retraits suspendus\")\n343\t\n344\t for resto in restaurants:\n345\t seen_uids.add(resto.uid)\n346\t h = resto.content_hash()\n347\t row = con.execute(\"SELECT content_hash FROM restaurants WHERE uid=?\",\n348\t (resto.uid,)).fetchone()\n349\t params = dict(\n350\t uid=resto.uid, source=resto.source, external_id=resto.external_id,\n351\t name=resto.name, chain=resto.chain,\n352\t cuisines=json.dumps(resto.cuisines, ensure_ascii=False),\n353\t establishment_type=resto.establishment_type,\n354\t price_range=resto.price_range, address=resto.address,\n355\t city=resto.city, region=resto.region,\n356\t postal_code=resto.postal_code, lat=resto.lat, lng=resto.lng,\n357\t phone=resto.phone, website=resto.website, url=resto.url,\n358\t hours=json.dumps(resto.hours, ensure_ascii=False),\n359\t services=json.dumps(resto.services, ensure_ascii=False),\n360\t dietary_options=json.dumps(resto.dietary_options, ensure_ascii=False),\n361\t languages=json.dumps(resto.languages, ensure_ascii=False),\n362\t images=json.dumps(resto.images, ensure_ascii=False),\n363\t status=resto.status, content_hash=h, now=now,\n364\t )\n365\t if row is None:\n366\t con.execute(\n367\t \"\"\"INSERT INTO restaurants (uid, source, external_id, name,\n368\t chain, cuisines, establishment_type, price_range, address,\n369\t city, region, postal_code, lat, lng, phone, website, url,\n370\t hours, services, dietary_options, languages, images,\n371\t status, content_hash, first_seen, last_seen, updated_at,\n372\t miss_count, active)\n373\t VALUES (:uid,:source,:external_id,:name,:chain,:cuisines,\n374\t :establishment_type,:price_range,:address,:city,:region,\n375\t :postal_code,:lat,:lng,:phone,:website,:url,:hours,\n376\t :services,:dietary_options,:languages,:images,:status,\n377\t :content_hash,:now,:now,:now,0,1)\"\"\", params)\n378\t added += 1\n379\t elif row[\"content_hash\"] != h:\n380\t # COALESCE : ne jamais écraser des coordonnées géocodées par null\n381\t con.execute(\n382\t \"\"\"UPDATE restaurants SET name=:name, chain=:chain,\n383\t cuisines=:cuisines, establishment_type=:establishment_type,\n384\t price_range=:price_range, address=:address, city=:city,\n385\t region=:region, postal_code=:postal_code,\n386\t lat=COALESCE(:lat, lat), lng=COALESCE(:lng, lng),\n387\t phone=:phone, website=:website, url=:url, hours=:hours,\n388\t services=:services, dietary_options=:dietary_options,\n389\t languages=:languages, images=:images, status=:status,\n390\t content_hash=:content_hash, last_seen=:now, updated_at=:now,\n391\t miss_count=0, active=1 WHERE uid=:uid\"\"\", params)\n392\t updated += 1\n393\t else:\n394\t con.execute(\n395\t \"UPDATE restaurants SET last_seen=?, miss_count=0, active=1,\"\n396\t \" status='open' WHERE uid=?\", (now, resto.uid))\n397\t\n398\t if resto.menu:\n399\t res = upsert_menu(con, resto.uid, resto.menu, now)\n400\t if res.get(\"alert\"):\n401\t menu_alerts.append(res[\"alert\"])\n402\t\n403\t # Restos de cette source qui n'apparaissent plus : délai de grâce, puis\n404\t # status=temporarily_closed (politique de grâce §13 — jamais de suppression).\n405\t removed = missed = 0\n406\t if not alert:\n407\t for r in con.execute(\n408\t \"SELECT uid, miss_count FROM restaurants WHERE source=? AND active=1\",\n409\t (source,)).fetchall():\n410\t if r[\"uid\"] in seen_uids:\n411\t continue\n412\t missed += 1\n413\t if r[\"miss_count\"] + 1 >= MISS_GRACE:\n414\t con.execute(\n415\t \"UPDATE restaurants SET active=0, status='temporarily_closed',\"\n416\t \" miss_count=?, updated_at=? WHERE uid=?\",\n417\t (r[\"miss_count\"] + 1, now, r[\"uid\"]))\n418\t removed += 1\n419\t else:\n420\t con.execute(\n421\t \"UPDATE restaurants SET miss_count=miss_count+1 WHERE uid=?\",\n422\t (r[\"uid\"],))\n423\t\n424\t stats = {\n425\t \"menu_items\": total_items,\n426\t \"null_price_rate\": (round(items_sans_prix / total_items, 3)\n427\t if total_items else 0.0),\n428\t \"missed\": missed,\n429\t }\n430\t if alert:\n431\t stats[\"alert\"] = alert\n432\t if menu_alerts:\n433\t stats[\"menu_alerts\"] = menu_alerts\n434\t con.execute(\n435\t \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,\"\n436\t \" message, stats) VALUES (?,?,?,?,?,?,1,?,?)\",\n437\t (source, now, n, added, updated, removed, alert or \"ok\",\n438\t json.dumps(stats, ensure_ascii=False)))\n439\t con.commit()\n440\t out = {\"source\": source, \"found\": n, \"added\": added, \"updated\": updated,\n441\t \"removed\": removed, \"menu_items\": total_items}\n442\t if alert:\n443\t out[\"alert\"] = alert\n444\t if menu_alerts:\n445\t out[\"menu_alerts\"] = len(menu_alerts)\n446\t return out\n447\t\n448\t\n449\tdef log_failure(con: sqlite3.Connection, source: str, message: str) -> None:\n450\t con.execute(\n451\t \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)\"\n452\t \" VALUES (?,?,0,0,0,0,0,?)\", (source, time.time(), message))\n453\t con.commit()\n454\t\n455\t\n456\t# ---------------------------------------------------------------------------\n457\t# Enrichissements hors connecteurs (colonne `details` + COALESCE conservateur)\n458\t# ---------------------------------------------------------------------------\n459\t\n460\tdef merge_details(con: sqlite3.Connection, uid: str, patch: dict) -> bool:\n461\t \"\"\"Fusionne `patch` dans la colonne JSON `details` du resto (additif :\n462\t les clés du patch écrasent seulement leurs propres clés). Retourne False\n463\t si le resto n'existe pas (encore).\"\"\"\n464\t row = con.execute(\"SELECT details FROM restaurants WHERE uid=?\",\n465\t (uid,)).fetchone()\n466\t if row is None:\n467\t return False\n468\t try:\n469\t details = json.loads(row[\"details\"] or \"{}\")\n470\t except ValueError:\n471\t details = {}\n472\t details.update({k: v for k, v in patch.items() if v not in (None, \"\", {})})\n473\t con.execute(\"UPDATE restaurants SET details=? WHERE uid=?\",\n474\t (json.dumps(details, ensure_ascii=False), uid))\n475\t return True\n476\t\n477\t\n478\tdef enrich_contact(con: sqlite3.Connection, uid: str, phone: str = \"\",\n479\t hours: dict | None = None, details: dict | None = None) -> None:\n480\t \"\"\"Enrichissement CONSERVATEUR d'une fiche : ne remplit que les trous.\n481\t\n482\t - phone : seulement si la colonne est vide (COALESCE) ;\n483\t - hours : fusion — n'ajoute que les clés absentes (le connecteur d'origine\n484\t garde la priorité) ;\n485\t - details : fusion via merge_details (reservation_url, yelp, mapaq…).\n486\t \"\"\"\n487\t row = con.execute(\"SELECT phone, hours FROM restaurants WHERE uid=?\",\n488\t (uid,)).fetchone()\n489\t if row is None:\n490\t return\n491\t if phone and not (row[\"phone\"] or \"\").strip():\n492\t con.execute(\"UPDATE restaurants SET phone=? WHERE uid=?\", (phone, uid))\n493\t if hours:\n494\t try:\n495\t cur = json.loads(row[\"hours\"] or \"{}\")\n496\t except ValueError:\n497\t cur = {}\n498\t add = {k: v for k, v in hours.items() if k not in cur}\n499\t if add:\n500\t cur.update(add)\n501\t con.execute(\"UPDATE restaurants SET hours=? WHERE uid=?\",\n502\t (json.dumps(cur, ensure_ascii=False), uid))\n503\t if details:\n504\t merge_details(con, uid, details)\n505\t\n506\t\n507\t# ---------------------------------------------------------------------------\n508\t# Cache des pages détail (« détail si nouveau/modifié »)\n509\t# ---------------------------------------------------------------------------\n510\t\n511\tdef get_cached_detail(con: sqlite3.Connection, source: str,\n512\t external_id: str, key: str) -> dict | None:\n513\t row = con.execute(\n514\t \"SELECT key, payload FROM detail_cache WHERE source=? AND external_id=?\",\n515\t (source, external_id)).fetchone()\n516\t if row and row[\"key\"] == key and row[\"payload\"]:\n517\t try:\n518\t return json.loads(row[\"payload\"])\n519\t except ValueError:\n520\t return None\n521\t return None\n522\t\n523\t\n524\tdef put_cached_detail(con: sqlite3.Connection, source: str,\n525\t external_id: str, key: str, payload: dict) -> None:\n526\t con.execute(\n527\t \"INSERT INTO detail_cache (source, external_id, key, payload, fetched_at)\"\n528\t \" VALUES (?,?,?,?,?)\"\n529\t \" ON CONFLICT(source, external_id) DO UPDATE SET\"\n530\t \" key=excluded.key, payload=excluded.payload, fetched_at=excluded.fetched_at\",\n531\t (source, external_id, key, json.dumps(payload, ensure_ascii=False),\n532\t time.time()))\n533\t con.commit()\n534\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"93d62a48-238f-4507-948a-9cf8a6bc0249","timestamp":"2026-08-25T20:56:31.179Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading run.py","usage":{"total_tokens":31980,"tool_uses":13,"duration_ms":9997},"last_tool_name":"Read","uuid":"24273e3e-9a4b-44c0-8411-7c691cec2de1","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mZ2rckr6La3odEFFB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LUojuXnRJupUfFj2RFJRay","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/run.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":10476,"cache_read_input_tokens":21406,"cache_creation":{"ephemeral_5m_input_tokens":10476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"fd478d70-6ce1-4303-a263-42abc4fd1887"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LUojuXnRJupUfFj2RFJRay","type":"tool_result","content":"1\t#!/usr/bin/env python3\n2\t# ==============================================================================\n3\t# Author: Simon-Pierre Boucher \n4\t# File: run.py\n5\t# Desc: Resto·Ka — point d'entrée : `sync`, `watch`, `serve`, `geocode`,\n6\t# `dedup`. Même patron que le run.py de Lou·Ka.\n7\t# ==============================================================================\n8\t\"\"\"Utilisation :\n9\t python run.py sync [source ...] # synchronise les restos + menus\n10\t python run.py watch [heures] # synchronise en boucle (défaut 24 h)\n11\t python run.py serve [port] # démarre l'API + le frontend (défaut 8115)\n12\t python run.py geocode [n] # géocode les restos sans coordonnées\n13\t python run.py dedup # déduplication inter-sources\n14\t\"\"\"\n15\tfrom __future__ import annotations\n16\t\n17\timport os\n18\timport sys\n19\tfrom pathlib import Path\n20\t\n21\t# Charger .env (SCRAPFLY_KEY, FIRECRAWL_API_KEY…) sans dépendance externe\n22\t_env = Path(__file__).parent / \".env\"\n23\tif _env.exists():\n24\t for line in _env.read_text().splitlines():\n25\t line = line.strip()\n26\t if line and not line.startswith(\"#\") and \"=\" in line:\n27\t k, _, v = line.partition(\"=\")\n28\t os.environ.setdefault(k.strip(), v.strip())\n29\t\n30\t\n31\tdef main() -> None:\n32\t cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n33\t args = sys.argv[2:]\n34\t\n35\t if cmd == \"sync\":\n36\t from restoka import ingest\n37\t ingest.run(args or None)\n38\t ingest.enrich()\n39\t elif cmd == \"watch\":\n40\t from restoka import ingest\n41\t hours = float(args[0]) if args else 24.0\n42\t ingest.watch(int(hours * 3600))\n43\t elif cmd == \"serve\":\n44\t import uvicorn\n45\t port = int(args[0]) if args else 8115\n46\t uvicorn.run(\"restoka.web:app\", host=\"0.0.0.0\", port=port)\n47\t elif cmd == \"geocode\":\n48\t from restoka import geocode\n49\t geocode.run_batch(int(args[0]) if args else 200)\n50\t elif cmd == \"dedup\":\n51\t from restoka import dedup\n52\t print(dedup.run())\n53\t else:\n54\t print(__doc__)\n55\t sys.exit(1)\n56\t\n57\t\n58\tif __name__ == \"__main__\":\n59\t main()\n60\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"b49c6893-1035-417a-a842-26556736a62e","timestamp":"2026-08-25T20:56:31.512Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a508d6e77bc0de370","tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","description":"Reading restoka/menullm.py","usage":{"total_tokens":31983,"tool_uses":14,"duration_ms":10155},"last_tool_name":"Read","uuid":"15fa1c1a-f471-45b4-9076-652fcdad9f92","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mZ2rckr6La3odEFFB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018poBxJ36jZdkTVoW6FYePn","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/resto-ka/restoka/menullm.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":10476,"cache_read_input_tokens":21406,"cache_creation":{"ephemeral_5m_input_tokens":10476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"7a5b64c6-520c-4058-b511-5172cdb6cd8c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018poBxJ36jZdkTVoW6FYePn","type":"tool_result","content":"1\t# ==============================================================================\n2\t# Author: Simon-Pierre Boucher \n3\t# File: restoka/menullm.py\n4\t# Desc: Structuration des menus « maison » (HTML texte ou PDF) en schéma\n5\t# sections → items → prix via Claude Haiku 4.5 (claude-haiku-4-5,\n6\t# le modèle le plus économique) avec SORTIES STRUCTURÉES\n7\t# (output_config.format = json_schema : JSON garanti valide) et\n8\t# VALIDATION STRICTE en aval — un prix mal parsé est pire que pas de\n9\t# prix (CLAUDE.md §10). PDF envoyé nativement en bloc `document`.\n10\t# ==============================================================================\n11\tfrom __future__ import annotations\n12\t\n13\timport base64\n14\timport json\n15\timport os\n16\t\n17\tMODEL = \"claude-haiku-4-5\"\n18\tMAX_TEXT_CHARS = 14000 # ~4k tokens de texte de menu\n19\tMAX_PDF_BYTES = 8_000_000 # PDF > 8 Mo : ignoré\n20\tMAX_OUTPUT_TOKENS = 8000\n21\t\n22\t# Garde-fous qualité (validation aval) — un menu qui ne les passe pas est rejeté\n23\tMIN_ITEMS_PRICED = 5 # au moins 5 plats avec prix\n24\tMIN_PRICED_RATIO = 0.4 # au moins 40 % des items ont un prix\n25\tPRICE_MIN, PRICE_MAX = 0.5, 500.0\n26\t\n27\tMENU_SCHEMA = {\n28\t \"type\": \"object\",\n29\t \"properties\": {\n30\t \"is_menu\": {\n31\t \"type\": \"boolean\",\n32\t \"description\": \"true seulement si le contenu est bien un menu de \"\n33\t \"restaurant avec des plats\",\n34\t },\n35\t \"sections\": {\n36\t \"type\": \"array\",\n37\t \"items\": {\n38\t \"type\": \"object\",\n39\t \"properties\": {\n40\t \"name\": {\"type\": \"string\"},\n41\t \"items\": {\n42\t \"type\": \"array\",\n43\t \"items\": {\n44\t \"type\": \"object\",\n45\t \"properties\": {\n46\t \"name\": {\"type\": \"string\"},\n47\t \"description\": {\"type\": \"string\"},\n48\t \"price\": {\"type\": [\"number\", \"null\"]},\n49\t },\n50\t \"required\": [\"name\", \"price\"],\n51\t \"additionalProperties\": False,\n52\t },\n53\t },\n54\t },\n55\t \"required\": [\"name\", \"items\"],\n56\t \"additionalProperties\": False,\n57\t },\n58\t },\n59\t },\n60\t \"required\": [\"is_menu\", \"sections\"],\n61\t \"additionalProperties\": False,\n62\t}\n63\t\n64\t_SYSTEM = \"\"\"Tu extrais le menu d'un restaurant québécois vers un JSON structuré.\n65\t\n66\tRègles STRICTES :\n67\t- N'INVENTE JAMAIS un prix. Si le prix d'un plat n'est pas affiché, mets null.\n68\t- Les prix sont en dollars canadiens ; convertis « 12,95 » en 12.95.\n69\t- Si un plat a plusieurs formats (petit/grand), prends le prix le PLUS BAS.\n70\t- Ignore la navigation, les heures d'ouverture, les avis, les textes marketing.\n71\t- Regroupe les plats par section du menu (Entrées, Pâtes, Desserts…).\n72\t- Si le contenu N'EST PAS un menu de restaurant (page d'accueil, blogue,\n73\t page de contact), mets is_menu=false et sections=[].\n74\t- Ne traduis pas les noms de plats ; garde-les tels quels.\"\"\"\n75\t\n76\t\n77\tdef _client():\n78\t import anthropic\n79\t key = os.environ.get(\"ANTHROPIC_API_KEY\")\n80\t if not key:\n81\t raise RuntimeError(\"ANTHROPIC_API_KEY manquant (voir .env)\")\n82\t return anthropic.Anthropic(api_key=key)\n83\t\n84\t\n85\tdef _extract(content_blocks: list) -> dict | None:\n86\t \"\"\"Appel Haiku avec sortie structurée ; retourne le dict validé ou None.\"\"\"\n87\t import anthropic\n88\t try:\n89\t response = _client().messages.create(\n90\t model=MODEL,\n91\t max_tokens=MAX_OUTPUT_TOKENS,\n92\t system=_SYSTEM,\n93\t messages=[{\"role\": \"user\", \"content\": content_blocks}],\n94\t output_config={\"format\": {\"type\": \"json_schema\",\n95\t \"schema\": MENU_SCHEMA}},\n96\t )\n97\t except anthropic.APIStatusError as exc:\n98\t print(f\"[resto-ka] menullm: erreur API {exc.status_code}\")\n99\t return None\n100\t except anthropic.APIConnectionError:\n101\t return None\n102\t if response.stop_reason == \"refusal\":\n103\t return None\n104\t if response.stop_reason == \"max_tokens\":\n105\t return None # menu tronqué : mieux vaut rien\n106\t text = next((b.text for b in response.content if b.type == \"text\"), \"\")\n107\t try:\n108\t return json.loads(text)\n109\t except ValueError:\n110\t return None\n111\t\n112\t\n113\tdef menu_from_text(text: str) -> dict | None:\n114\t \"\"\"Structure le TEXTE brut d'une page menu. None si pas de menu fiable.\"\"\"\n115\t text = (text or \"\").strip()\n116\t if len(text) < 200:\n117\t return None\n118\t blocks = [{\"type\": \"text\",\n119\t \"text\": f\"Voici le contenu textuel d'une page web de restaurant.\"\n120\t f\" Extrais le menu.\\n\\n\\n{text[:MAX_TEXT_CHARS]}\\n\"}]\n121\t return validate(_extract(blocks))\n122\t\n123\t\n124\tdef menu_from_pdf(pdf_bytes: bytes) -> dict | None:\n125\t \"\"\"Structure un menu PDF (envoyé nativement à Claude). None si rejeté.\"\"\"\n126\t if not pdf_bytes or len(pdf_bytes) > MAX_PDF_BYTES:\n127\t return None\n128\t data = base64.standard_b64encode(pdf_bytes).decode()\n129\t blocks = [\n130\t {\"type\": \"document\",\n131\t \"source\": {\"type\": \"base64\", \"media_type\": \"application/pdf\",\n132\t \"data\": data}},\n133\t {\"type\": \"text\", \"text\": \"Ce PDF est le menu d'un restaurant. Extrais-le.\"},\n134\t ]\n135\t return validate(_extract(blocks))\n136\t\n137\t\n138\tdef validate(raw: dict | None) -> dict | None:\n139\t \"\"\"Validation aval STRICTE : structure, volume, plausibilité des prix.\n140\t\n141\t Retourne {\"sections\": [...]} prêt pour le schéma Resto·Ka, ou None si le\n142\t menu ne passe pas la barre de qualité (jamais de menu douteux en base).\n143\t \"\"\"\n144\t if not raw or not raw.get(\"is_menu\"):\n145\t return None\n146\t sections_out = []\n147\t total = priced = 0\n148\t for sec in raw.get(\"sections\") or []:\n149\t name = (sec.get(\"name\") or \"\").strip()\n150\t items_out = []\n151\t for it in sec.get(\"items\") or []:\n152\t iname = (it.get(\"name\") or \"\").strip()\n153\t if not iname or len(iname) > 120:\n154\t continue\n155\t price = it.get(\"price\")\n156\t if isinstance(price, (int, float)):\n157\t if not (PRICE_MIN <= price <= PRICE_MAX):\n158\t price = None # prix implausible -> pas de prix\n159\t else:\n160\t price = round(float(price), 2)\n161\t else:\n162\t price = None\n163\t total += 1\n164\t if price is not None:\n165\t priced += 1\n166\t item = {\"name\": iname, \"price\": price, \"currency\": \"CAD\", \"tags\": []}\n167\t desc = (it.get(\"description\") or \"\").strip()\n168\t if desc:\n169\t item[\"description\"] = desc[:400]\n170\t items_out.append(item)\n171\t if name and items_out:\n172\t sections_out.append({\"name\": name[:80], \"items\": items_out})\n173\t if priced < MIN_ITEMS_PRICED or total == 0 or priced / total < MIN_PRICED_RATIO:\n174\t return None\n175\t return {\"sections\": sections_out}\n176\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_019fg5ujwmGaJT6gDP7VBYVG","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"75d87aed-6361-47a9-ad93-8851f98aadca","timestamp":"2026-08-25T20:56:31.669Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Reading ~/apps/lou-ka/louka/connectors/kijiji.py","usage":{"total_tokens":29719,"tool_uses":6,"duration_ms":6373},"last_tool_name":"Read","uuid":"f59ab012-a677-4ea9-abe1-9590e2acbf14","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mensvSExwVZ196nEG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014x3PEqXtZU5sE3ot8385eY","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/kijiji.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5347,"cache_read_input_tokens":24339,"cache_creation":{"ephemeral_5m_input_tokens":5347,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"ac6c5dfa-878e-46d7-9986-372c4543d9d0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014x3PEqXtZU5sE3ot8385eY","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# connectors/kijiji.py : Kijiji (kijiji.ca) — petites annonces de LOCATION\n5\t# UNIQUEMENT les catégories logement À LOUER, UNIQUEMENT le Québec (l9001) :\n6\t# c37 appartements & condos à louer · c36 chambres à louer & colocation\n7\t# Les pages listent 40+ annonces dans __NEXT_DATA__ (Apollo state) avec titre,\n8\t# prix, GPS, adresse, date de disponibilité et attributs (meublé, animaux,\n9\t# inclusions…) — aucune API privée nécessaire. Adapté du connecteur « à\n10\t# vendre » d'Immo-Ka (agent-courtage/immoka).\n11\t# Prix « Sur demande » (price.type=CONTACT, ~3 % des annonces) : le montant\n12\t# est souvent écrit dans la description (« Loyer : 1 550 $ / mois ») — on\n13\t# le récupère prudemment (montant collé à $ + mois/month plausible), sinon\n14\t# le libellé affiché devient « Sur demande » plutôt que vide.\n15\t# (Vérifié à la source : les annonces sans photo ou à photo unique le sont\n16\t# réellement sur Kijiji — imageUrls vide/à 1 sur la fiche aussi.)\n17\t# -----------------------------------------------------------------------------\n18\tfrom __future__ import annotations\n19\t\n20\timport json\n21\timport os\n22\timport re\n23\t\n24\tfrom ..schema import Listing\n25\tfrom .base import BaseConnector\n26\t\n27\tfrom . import _detailutil as du\n28\t\n29\tBASE = \"https://www.kijiji.ca\"\n30\t# (code catégorie, segment d'URL, type d'unité par défaut)\n31\tCATEGORIES = [\n32\t (37, \"b-appartement-condo\", \"\"), # unité déduite des attributs\n33\t (36, \"b-chambre-a-louer-colocataire\", \"Chambre\"),\n34\t]\n35\tMAX_PAGES = int(os.environ.get(\"LOUKA_KIJIJI_MAX_PAGES\", \"100\"))\n36\tDETAIL_LIMIT = int(os.environ.get(\"LOUKA_KIJIJI_DETAIL_LIMIT\", \"400\"))\n37\t\n38\t# les annonces vivent sous des clés Apollo « RealEstateListing:123 » (c37)\n39\t# ou « StandardListing:123 » (c36)\n40\t_LISTING_KEY_RE = re.compile(r\"^(?:RealEstate|Standard)Listing:\\d+$\")\n41\t_NEXT_RE = re.compile(\n42\t r'', re.S)\n43\t\n44\t# attributs binaires -> commodité affichable (uniquement si la valeur est vraie)\n45\t_AMENITY_LABELS = {\n46\t \"heat\": \"Chauffage inclus\", \"hydro\": \"Électricité incluse\",\n47\t \"water\": \"Eau incluse\", \"internet\": \"Internet inclus\",\n48\t \"cabletv\": \"Câble/télé inclus\", \"laundryinunit\": \"Laveuse/sécheuse dans l'unité\",\n49\t \"laundryinbuilding\": \"Buanderie dans l'immeuble\", \"dishwasher\": \"Lave-vaisselle\",\n50\t \"fridgefreezer\": \"Réfrigérateur/congélateur\", \"airconditioning\": \"Air climatisé\",\n51\t \"balcony\": \"Balcon\", \"elevator\": \"Ascenseur\", \"gym\": \"Salle d'entraînement\",\n52\t \"pool\": \"Piscine\", \"concierge\": \"Concierge\",\n53\t \"twentyfourhoursecurity\": \"Sécurité 24 h\", \"storagelocker\": \"Espace de rangement\",\n54\t \"bicycleparking\": \"Stationnement pour vélo\", \"yard\": \"Cour\",\n55\t \"wheelchairaccessible\": \"Accessible en fauteuil roulant\",\n56\t}\n57\t_UNIT_TYPES = {\n58\t \"apartment\": \"Appartement\", \"condo\": \"Condo\",\n59\t \"basement-apartment\": \"Appartement au sous-sol\", \"house\": \"Maison\",\n60\t \"townhouse\": \"Maison de ville\", \"duplex-triplex\": \"Duplex/Triplex\",\n61\t}\n62\t_AGREEMENTS = {\"one-year\": \"Bail de 1 an\", \"month-to-month\": \"Au mois\",\n63\t \"not-available\": \"\"}\n64\t# villes fréquentes sans accents dans les adresses Kijiji\n65\t_CITY_FIX = {\n66\t \"montreal\": \"Montréal\", \"quebec\": \"Québec\", \"levis\": \"Lévis\",\n67\t \"trois-rivieres\": \"Trois-Rivières\", \"riviere-des-prairies\": \"Montréal\",\n68\t \"ville de montreal\": \"Montréal\", \"ville de quebec\": \"Québec\",\n69\t}\n70\t\n71\t\n72\t# loyer mensuel écrit dans le texte (annonces « Sur demande ») : un montant\n73\t# DOIT toucher un « $ » ET un mot mensuel (mois/month) ou un libellé loyer/prix\n74\t_NUM = r\"(\\d{1,2}[\\s,.]?\\d{3}|\\d{3,4})\"\n75\t_PRICE_TXT_RE = re.compile(\n76\t r\"\\b(?:loyer|prix|rent|price)\\s*:?\\s*(?:est\\s+de\\s+|de\\s+|à partir de\\s+)?\"\n77\t + _NUM + r\"(?:[.,]\\d{2})?\\s*\\$\"\n78\t r\"|\" + _NUM + r\"(?:[.,]\\d{2})?\\s*\\$\\s*\"\n79\t r\"(?:/|par\\s+|per\\s+)\\s*(?:mois|month)\"\n80\t r\"|\\$\\s*\" + _NUM + r\"(?:\\.\\d{2})?\\s*(?:/|per\\s+|a\\s+)\\s*month\"\n81\t # fourchette « $1,100 to $1,300/month » : capter la borne BASSE aussi\n82\t r\"|\\$\\s*\" + _NUM + r\"(?:\\.\\d{2})?\\s*(?:to|à|[-–])\\s*\\$\\s*[\\d ,.]+\"\n83\t r\"\\s*(?:/|per\\s+)\\s*month\",\n84\t re.I)\n85\t\n86\t\n87\tdef _price_from_text(text: str) -> float | None:\n88\t \"\"\"Loyer mensuel plausible (300–12 000 $) déduit du texte de l'annonce.\n89\t\n90\t Conservateur : montant collé à un « $ » et à un contexte mensuel\n91\t (loyer/prix/rent ou /mois, /month). Le plus BAS des montants trouvés\n92\t (« à partir de… ») ; None si rien de plausible — jamais inventé.\n93\t \"\"\"\n94\t vals = []\n95\t for m in _PRICE_TXT_RE.finditer(text or \"\"):\n96\t raw = next(g for g in m.groups() if g)\n97\t try:\n98\t val = float(re.sub(r\"[\\s,.]\", \"\", raw))\n99\t except ValueError:\n100\t continue\n101\t if 300 <= val <= 12000:\n102\t vals.append(val)\n103\t return min(vals) if vals else None\n104\t\n105\t\n106\tdef _fix_city(raw: str) -> str:\n107\t key = (raw or \"\").strip().lower()\n108\t if key in _CITY_FIX:\n109\t return _CITY_FIX[key]\n110\t return \" \".join(w.capitalize() for w in key.replace(\"-\", \" \").split())\n111\t\n112\t\n113\tdef _attr_value(a: dict) -> str:\n114\t \"\"\"Première valeur d'un attribut Apollo (canonique, sinon affichée).\"\"\"\n115\t for k in (\"canonicalValues\", \"values\"):\n116\t vals = a.get(k) or []\n117\t if vals:\n118\t return str(vals[0])\n119\t return \"\"\n120\t\n121\t\n122\tdef _apply_attrs(attrs: list[dict], out: dict) -> None:\n123\t \"\"\"Interprète les attributs Kijiji (mêmes clés en liste et en fiche).\"\"\"\n124\t amenities = out.setdefault(\"amenities\", [])\n125\t details = out.setdefault(\"details\", {})\n126\t for a in attrs or []:\n127\t cn = a.get(\"canonicalName\") or \"\"\n128\t val = _attr_value(a)\n129\t if not val:\n130\t continue\n131\t if cn in _AMENITY_LABELS:\n132\t if val == \"1\":\n133\t amenities.append(_AMENITY_LABELS[cn])\n134\t elif cn == \"furnished\":\n135\t out[\"furnished\"] = val == \"1\"\n136\t elif cn == \"petsallowed\":\n137\t out[\"pets\"] = \"oui\" if val == \"1\" else \"non\"\n138\t elif cn == \"numberbedrooms\":\n139\t out[\"bedrooms\"] = val # '0' = studio, sinon nb de chambres\n140\t elif cn == \"numberbathrooms\":\n141\t try: # canonique en dixièmes : '15' = 1.5\n142\t n = int(val) / 10\n143\t details[\"Salles de bain\"] = f\"{n:g}\"\n144\t except ValueError:\n145\t pass\n146\t elif cn in (\"areainfeet\", \"sizesqft\"):\n147\t m = re.search(r\"[\\d.]+\", val.replace(\",\", \"\"))\n148\t if m and float(m.group(0)) > 0:\n149\t out[\"area_sqft\"] = float(m.group(0))\n150\t elif cn == \"dateavailable\":\n151\t m = re.match(r\"(\\d{4}-\\d{2}-\\d{2})\", val)\n152\t if m:\n153\t out[\"availability_date\"] = m.group(1)\n154\t elif cn == \"unittype\":\n155\t details[\"Type d'unité\"] = _UNIT_TYPES.get(val, val)\n156\t elif cn == \"agreementtype\":\n157\t bail = _AGREEMENTS.get(val, val)\n158\t if bail:\n159\t details[\"Bail\"] = bail\n160\t elif cn == \"numberparkingspots\" and val.isdigit() and int(val) > 0:\n161\t amenities.append(f\"Stationnement ({val})\")\n162\t\n163\t\n164\tdef _parse_kijiji_detail(html: str) -> dict:\n165\t \"\"\"Fiche Kijiji : description complète, attributs, galerie haute résolution.\"\"\"\n166\t m = _NEXT_RE.search(html)\n167\t if not m:\n168\t return {}\n169\t try:\n170\t data = json.loads(m.group(1))\n171\t except ValueError:\n172\t return {}\n173\t apollo = data.get(\"props\", {}).get(\"pageProps\", {}).get(\"__APOLLO_STATE__\", {})\n174\t it = next((v for k, v in apollo.items()\n175\t if _LISTING_KEY_RE.match(k) and isinstance(v, dict)\n176\t and v.get(\"description\")), None)\n177\t if not it:\n178\t return {}\n179\t out: dict = {}\n180\t if it.get(\"description\"):\n181\t out[\"description\"] = str(it[\"description\"]).strip()[:6000]\n182\t imgs = [re.sub(r\"rule=kijijica-\\d+-\\w+\", \"rule=kijijica-1600-jpg\", u)\n183\t for u in it.get(\"imageUrls\") or []]\n184\t if imgs:\n185\t out[\"images\"] = imgs\n186\t _apply_attrs((it.get(\"attributes\") or {}).get(\"all\") or [], out)\n187\t out.pop(\"bedrooms\", None) # le type d'unité est déjà fixé au niveau liste\n188\t loc = it.get(\"location\") or {}\n189\t addr = (loc.get(\"address\") or \"\").replace(\", Canada\", \"\")\n190\t if re.match(r\"\\s*\\d\", addr):\n191\t out[\"address\"] = addr.split(\",\")[0]\n192\t return out\n193\t\n194\t\n195\tclass KijijiConnector(BaseConnector):\n196\t source_id = \"kijiji\"\n197\t request_delay = 1.2\n198\t\n199\t def _page(self, seg: str, cat: int, page: int) -> list[dict]:\n200\t \"\"\"Annonces (Apollo state) d'une page de catégorie.\"\"\"\n201\t path = (f\"{seg}/quebec/c{cat}l9001\" if page == 1\n202\t else f\"{seg}/quebec/page-{page}/c{cat}l9001\")\n203\t html = self.get(f\"{BASE}/{path}\").text\n204\t m = _NEXT_RE.search(html)\n205\t data = json.loads(m.group(1)) if m else {}\n206\t apollo = (data.get(\"props\", {}).get(\"pageProps\", {})\n207\t .get(\"__APOLLO_STATE__\", {}))\n208\t return [v for k, v in apollo.items()\n209\t if _LISTING_KEY_RE.match(k) and isinstance(v, dict)]\n210\t\n211\t def _to_listing(self, it: dict, unit_default: str) -> Listing | None:\n212\t lid = str(it.get(\"id\") or \"\")\n213\t url = it.get(\"url\") or \"\"\n214\t if not lid or not url:\n215\t return None\n216\t price = None\n217\t pr = it.get(\"price\") or {}\n218\t if isinstance(pr, dict) and pr.get(\"amount\"):\n219\t price = round(pr[\"amount\"] / 100.0, 0) # cents → $/mois\n220\t loc = it.get(\"location\") or {}\n221\t coords = loc.get(\"coordinates\") or {}\n222\t address = (loc.get(\"address\") or \"\").replace(\", Canada\", \"\")\n223\t parts = [p.strip() for p in address.split(\",\") if p.strip()]\n224\t # adresse à la française « 89, rue Dartois, Montréal » : le n° civique\n225\t # arrive seul en tête — le recoller à la rue, sinon la rue devenait\n226\t # la « ville » et polluait les filtres\n227\t if len(parts) >= 2 and re.fullmatch(r\"\\d+[A-Za-z]?\", parts[0]):\n228\t parts = [f\"{parts[0]} {parts[1]}\"] + parts[2:]\n229\t street = parts[0] if parts and re.match(r\"\\s*\\d\", parts[0]) else \"\"\n230\t # la ville = premier élément après la rue qui n'est ni la province\n231\t # ni un code postal (formats « rue, ville, QC H2X 1X1 »)\n232\t rest = [p for p in (parts[1:] if street else parts)\n233\t if not re.match(r\"(?i)^(qc|qu[ée]bec)\\b\", p)\n234\t and not re.match(r\"(?i)^[a-z]\\d[a-z]\", p)]\n235\t city = _fix_city(rest[0] if rest else (loc.get(\"name\") or \"\"))\n236\t images = [re.sub(r\"rule=kijijica-\\d+-\", \"rule=kijijica-640-\", u)\n237\t for u in it.get(\"imageUrls\") or []]\n238\t extra: dict = {}\n239\t _apply_attrs((it.get(\"attributes\") or {}).get(\"all\") or [], extra)\n240\t unit_type = unit_default\n241\t beds = extra.pop(\"bedrooms\", None)\n242\t if not unit_type and beds:\n243\t try: # Kijiji code parfois « 2.5 » (2 ch. + den)\n244\t n = int(float(beds))\n245\t except ValueError:\n246\t n = 0\n247\t unit_type = \"Studio\" if n == 0 else f\"{n} chambres\" # → n+2 ½\n248\t lst = Listing(\n249\t source=self.source_id,\n250\t external_id=lid,\n251\t url=url,\n252\t title=it.get(\"title\") or \"\",\n253\t address=street,\n254\t city=city,\n255\t unit_type=unit_type,\n256\t price=price,\n257\t price_label=(f\"{price:,.0f} $/mois\".replace(\",\", \" \")\n258\t if price else \"\"),\n259\t description=(it.get(\"description\") or \"\")[:2000],\n260\t amenities=extra.get(\"amenities\") or [],\n261\t details=extra.get(\"details\") or {},\n262\t images=images,\n263\t lat=coords.get(\"latitude\"),\n264\t lng=coords.get(\"longitude\"),\n265\t )\n266\t if extra.get(\"availability_date\"):\n267\t lst.availability_date = extra[\"availability_date\"]\n268\t lst.availability = f\"Libre le {extra['availability_date']}\"\n269\t if extra.get(\"furnished\") is not None:\n270\t lst.furnished = extra[\"furnished\"]\n271\t if extra.get(\"pets\"):\n272\t lst.pets = extra[\"pets\"]\n273\t if extra.get(\"area_sqft\"):\n274\t lst.area_sqft = extra[\"area_sqft\"]\n275\t return lst\n276\t\n277\t def fetch(self) -> list[Listing]:\n278\t out: dict[str, Listing] = {}\n279\t for cat, seg, unit_default in CATEGORIES:\n280\t for page in range(1, MAX_PAGES + 1):\n281\t try:\n282\t items = self._page(seg, cat, page)\n283\t except Exception:\n284\t break\n285\t fresh = 0\n286\t for it in items:\n287\t lst = self._to_listing(it, unit_default)\n288\t if lst is not None and lst.uid not in out:\n289\t out[lst.uid] = lst\n290\t fresh += 1\n291\t # plus rien de neuf (page de fin remplie de topAds répétés)\n292\t if fresh == 0 or len(items) < 10:\n293\t break\n294\t listings = list(out.values())\n295\t du.enrich(self, listings, DETAIL_LIMIT, _parse_kijiji_detail, key=\"v1\")\n296\t # prix « Sur demande » : tenter le montant écrit dans le texte de\n297\t # l'annonce (APRÈS enrich : la description complète vient de la fiche)\n298\t for lst in listings:\n299\t if lst.price is None:\n300\t p = _price_from_text(f\"{lst.title}\\n{lst.description}\")\n301\t if p is not None:\n302\t lst.price = p\n303\t lst.price_label = (f\"{p:,.0f} $/mois (selon la description)\"\n304\t .replace(\",\", \" \"))\n305\t elif not lst.price_label:\n306\t lst.price_label = \"Sur demande\"\n307\t return listings\n308\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"8dabb567-e1af-4fb7-922b-8e7990d851cc","timestamp":"2026-08-25T20:56:32.523Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Reading ~/apps/lou-ka/louka/connectors/fb_marketplace.py","usage":{"total_tokens":29720,"tool_uses":7,"duration_ms":6719},"last_tool_name":"Read","uuid":"0d50eeb6-404f-4bc6-b209-143ae62f3367","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mensvSExwVZ196nEG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QazokwrLDzDpMoDFWbnmza","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/fb_marketplace.py","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5347,"cache_read_input_tokens":24339,"cache_creation":{"ephemeral_5m_input_tokens":5347,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"fb2f6213-bb17-4271-b6c1-b5cb63c46c3b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QazokwrLDzDpMoDFWbnmza","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# connectors/fb_marketplace.py : Facebook Marketplace — catégorie location\n5\t# (propertyrentals), TOUTE la province. Annonces de particuliers, fort\n6\t# complément aux gestionnaires. Depuis 2026-08-22 le scraping est délégué à\n7\t# l'ACTEUR APIFY MAISON gorgeous_thistle/ka-fb-marketplace (source :\n8\t# actors/ka-fb-marketplace de ce repo) : HTML public déconnecté SANS rendu\n9\t# JS (les JSON de recherche, la fiche PDP et la galerie MediaViewer\n10\t# préchargée vivent dans le HTML brut) via proxy résidentiel CA — ~100×\n11\t# moins cher que l'ancienne chaîne Scrapfly ASP+render_js, et couverture\n12\t# élargie de 10 à 33 villes (IDs Marketplace des villes régionales validés ;\n13\t# les slugs inventés retombent sur des villes aléatoires, ne pas en ajouter\n14\t# sans les valider).\n15\t# Le scroll infini reste bloqué hors connexion (~25 annonces/URL) : on\n16\t# pagine par TRANCHES DE PRIX et on accumule sur plusieurs synchronisations.\n17\t# Le flux public TOURNE : une phase de RATTRAPAGE (extraDetailIds) visite\n18\t# les fiches actives jamais enrichies (budget LOUKA_FBMP_BACKFILL).\n19\t# Le connecteur garde le cache détail BD (clé v2, payloads compatibles) et\n20\t# passe à l'acteur la liste des fiches fraîches à NE PAS revisiter.\n21\t# ⚠️ Données personnelles (Loi 25) : ne jamais republier nom/téléphone du\n22\t# vendeur, garder le lien sortant.\n23\t# -----------------------------------------------------------------------------\n24\tfrom __future__ import annotations\n25\t\n26\timport json\n27\timport os\n28\timport re\n29\timport time\n30\t\n31\timport requests as _requests\n32\t\n33\tfrom ..schema import Listing, normalize_unit_type\n34\tfrom .base import BaseConnector\n35\tfrom . import _detailutil as du\n36\t\n37\tBASE = \"https://www.facebook.com/marketplace\"\n38\tAPIFY_API = \"https://api.apify.com/v2\"\n39\tACTOR = os.environ.get(\"LOUKA_FBMP_ACTOR\", \"gorgeous_thistle~ka-fb-marketplace\")\n40\t\n41\t# villes québécoises — gros parcs : slug vanity Marketplace -> nom d'affichage\n42\tCITIES = {\n43\t \"montreal\": \"Montréal\", \"laval\": \"Laval\", \"longueuil\": \"Longueuil\",\n44\t \"quebec\": \"Québec\", \"gatineau\": \"Gatineau\", \"sherbrooke\": \"Sherbrooke\",\n45\t \"trois-rivieres\": \"Trois-Rivières\", \"levis\": \"Lévis\",\n46\t \"saguenay\": \"Saguenay\", \"drummondville\": \"Drummondville\",\n47\t}\n48\t# villes régionales : ID numérique Marketplace -> nom (découverts via Serper,\n49\t# lat/lng validés live 2026-08-22 — rayon ~65 km chacun)\n50\tREGIONS = {\n51\t \"105790762794728\": \"Rimouski\", \"110925022261358\": \"Rivière-du-Loup\",\n52\t \"106528256049537\": \"Matane\", \"109502305742889\": \"Gaspé\",\n53\t \"100246746683723\": \"Sept-Îles\", \"105615529471535\": \"Baie-Comeau\",\n54\t \"106016152771864\": \"Rouyn-Noranda\", \"110594102301488\": \"Val-d'Or\",\n55\t \"105598479473872\": \"Amos\", \"109699385723610\": \"Saint-Georges\",\n56\t \"110304502331480\": \"Thetford Mines\", \"111938355489908\": \"Granby\",\n57\t \"108126699220609\": \"Victoriaville\", \"109753249050671\": \"Joliette\",\n58\t \"109429165750459\": \"Saint-Hyacinthe\",\n59\t \"108645709159963\": \"Saint-Jean-sur-Richelieu\",\n60\t \"112946182053396\": \"Saint-Jérôme\",\n61\t \"113011352052118\": \"Salaberry-de-Valleyfield\",\n62\t \"107992819229760\": \"Magog\", \"109514615734434\": \"Alma\",\n63\t \"109664672393669\": \"Mont-Laurier\", \"108557812502323\": \"La Tuque\",\n64\t \"108296932538245\": \"Dolbeau-Mistassini\",\n65\t}\n66\t# tranches de prix (bornes en $) : le flux déconnecté sert un sous-ensemble\n67\t# tournant, chaque tranche renvoie un lot quasi disjoint\n68\tPRICE_BANDS = [(0, 800), (800, 1100), (1100, 1400), (1400, 1700),\n69\t (1700, 2100), (2100, 2800), (2800, 6000)]\n70\tREGIONAL_BANDS = [(0, 1200), (1200, 6000)] # parcs plus petits : 2 tranches\n71\t\n72\t# garde-fous de prix mensuel (rejette « $90 » = /nuit, et les valeurs à vendre)\n73\tPRICE_MIN, PRICE_MAX = 300, 12000\n74\t\n75\tDETAIL_LIMIT = int(os.environ.get(\"LOUKA_FBMP_DETAIL_LIMIT\", \"120\"))\n76\t# rattrapage : fiches ACTIVES en BD encore pauvres (sans description, sans\n77\t# GPS ou avec ≤ 1 image) qui ne repassent plus dans la recherche publique\n78\tBACKFILL_LIMIT = int(os.environ.get(\"LOUKA_FBMP_BACKFILL\", \"80\"))\n79\t# les annonces FB changent peu après publication : TTL long = le budget détail\n80\t# sert surtout aux NOUVELLES annonces plutôt qu'à re-visiter les connues\n81\tTTL_DAYS = float(os.environ.get(\"LOUKA_FBMP_TTL_DAYS\", \"30\"))\n82\tCITY_LIMIT = os.environ.get(\"LOUKA_FBMP_CITIES\", \"\") # ex. \"montreal,laval\"\n83\tCONCURRENCY = int(os.environ.get(\"LOUKA_FBMP_CONCURRENCY\", \"8\"))\n84\tRUN_TIMEOUT = int(os.environ.get(\"LOUKA_FBMP_RUN_TIMEOUT\", \"2400\")) # s\n85\t\n86\t# clé du cache détail — v2 : payloads identiques à l'ère Scrapfly (galerie,\n87\t# ville/province, statut) ; l'acteur produit la même forme, cache réutilisé\n88\tDETAIL_KEY = \"v2\"\n89\t\n90\t# provinces acceptées : le flux public glisse parfois des annonces hors Québec\n91\t# (ex. « Norfolk, ON ») dans les résultats d'une ville québécoise\n92\t_QC_STATES = {\"qc\", \"quebec\", \"québec\"}\n93\t\n94\t\n95\tdef _unit_type(title: str, desc: str = \"\") -> str:\n96\t blob = f\"{title} {desc}\"\n97\t ut = normalize_unit_type(title)\n98\t if re.match(r\"^\\d½$|^6½\\+$|^Studio$|^Loft$\", ut or \"\"):\n99\t return ut\n100\t m = re.search(r\"(\\d+)\\s*(?:bed|bedroom|chambre|cc|br)\\b\", blob, re.I)\n101\t if m:\n102\t n = int(m.group(1)) + 2\n103\t return \"6½+\" if n >= 6 else f\"{n}½\"\n104\t if re.search(r\"\\bstudio|bachelor\\b\", blob, re.I):\n105\t return \"Studio\"\n106\t if re.search(r\"\\b(?:private\\s+)?room\\b|chambre\", blob, re.I):\n107\t return \"Chambre\"\n108\t return \"\"\n109\t\n110\t\n111\tdef _usable(payload: dict | None) -> bool:\n112\t \"\"\"Payload détail exploitable (ni vide, ni marqueur « fiche sans objet »).\"\"\"\n113\t return bool(payload) and not payload.get(\"nopdp\")\n114\t\n115\t\n116\tdef _non_qc(payload: dict) -> bool:\n117\t state = (payload.get(\"state\") or \"\").strip().lower()\n118\t if state:\n119\t return state not in _QC_STATES\n120\t # sans état : filet géographique — certains PDP ne livrent que le GPS\n121\t lat, lng = payload.get(\"lat\"), payload.get(\"lng\")\n122\t if lat is not None and lng is not None:\n123\t return not (44.9 <= lat <= 62.8 and -79.6 <= lng <= -56.9)\n124\t return False\n125\t\n126\t\n127\t# version des payloads détail : bump quand parse_detail (acteur) apprend de\n128\t# nouveaux champs, pour re-visiter progressivement les fiches déjà en cache\n129\tPAYLOAD_VERSION = 3\n130\t\n131\t_TYPE_LABELS = {\"apartment\", \"house\", \"townhouse\", \"condo\", \"room\", \"flat\",\n132\t \"appartement\", \"maison\", \"maison de ville\", \"chambre\", \"loft\"}\n133\t_BEDS_RX = re.compile(r\"(\\d+(?:[.,]\\d+)?)\\s*(?:beds?\\b|chambres?\\b|lits?\\b)\",\n134\t re.I)\n135\t_BATHS_RX = re.compile(r\"(\\d+(?:[.,]\\d+)?)\\s*(?:baths?\\b|salles?\\b)\", re.I)\n136\t\n137\t\n138\tdef _std_detail(d: dict) -> dict:\n139\t \"\"\"Payload acteur -> dict pour du.apply_detail (labels PDP en/fr).\"\"\"\n140\t std = {k: d[k] for k in (\"description\", \"images\", \"lat\", \"lng\",\n141\t \"city\", \"address\") if d.get(k)}\n142\t amen: list[str] = []\n143\t for lbl in d.get(\"unit_fields\") or []:\n144\t mb = _BEDS_RX.search(lbl)\n145\t if mb: # « 2 beds · 1 bath »\n146\t std[\"bedrooms\"] = float(mb.group(1).replace(\",\", \".\"))\n147\t ms = _BATHS_RX.search(lbl)\n148\t if ms:\n149\t std[\"bathrooms\"] = float(ms.group(1).replace(\",\", \".\"))\n150\t continue\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"834d5b7c-ff82-4938-aece-c93d5b178d48","timestamp":"2026-08-25T20:56:32.868Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8ba74ac9ec6907fb","tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","description":"Reading ~/apps/lou-ka/louka/connectors/logisco.py","usage":{"total_tokens":29721,"tool_uses":8,"duration_ms":6957},"last_tool_name":"Read","uuid":"5464f4d5-382b-43fa-99a1-fc659d83e72b","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeQ8mensvSExwVZ196nEG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ADsQXF7zXqznN9hj3LMUqX","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/logisco.py","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5347,"cache_read_input_tokens":24339,"cache_creation":{"ephemeral_5m_input_tokens":5347,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01EkjYTiwLj6iK63bSJb2WVx","session_id":"e296c4c1-b884-48f4-ba4f-db7cca637129","uuid":"8bb49a39-fcec-4985-8a01-f295c44071b6"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ADsQXF7zXqznN9hj3LMUqX","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# connectors/logisco.py : connecteur Logisco (logisco.com)\n5\t# Site rendu serveur. Crawl : page liste principale (+ pages villes) pour\n6\t# découvrir les pages projets, puis extraction des unités disponibles\n7\t# (cartes .unitCard) sur chaque page projet. Une annonce par unité.\n8\t# Chaque page unité (mise en cache via self.detail, plafond 150 vraies\n9\t# requêtes/sync) apporte : JSON-LD (adresse avec no d'unité + code postal,\n10\t# étage, téléphone, plan de l'unité), superficie/étage/dispo structurés\n11\t# (sommaire .unitHeader) et les 4 sections de commodités (Inclusions,\n12\t# Particularités, Services offerts, Espaces communs).\n13\t# Villes retenues : Québec, Lévis, Saint-Augustin-de-Desmaures\n14\t# (Donnacona et autres villes hors région exclues).\n15\t# -----------------------------------------------------------------------------\n16\tfrom __future__ import annotations\n17\t\n18\timport hashlib\n19\timport html as htmllib\n20\timport json\n21\timport re\n22\tfrom urllib.parse import urljoin\n23\t\n24\tfrom bs4 import BeautifulSoup\n25\t\n26\tfrom ..schema import Listing, infer_city, normalize_unit_type, parse_price\n27\tfrom .base import BaseConnector\n28\t\n29\tBASE = \"https://logisco.com\"\n30\tLIST_URL = f\"{BASE}/fr/appartements-a-louer\"\n31\t\n32\t# villes de la région Québec/Lévis retenues (segment d'URL -> nom de ville)\n33\tCITY_MAP = {\n34\t \"quebec\": \"Québec\",\n35\t \"levis\": \"Lévis\",\n36\t \"saint-augustin-de-desmaures\": \"Saint-Augustin-de-Desmaures\",\n37\t}\n38\t\n39\tPROJECT_HREF_RE = re.compile(\n40\t r'href=\"(https://logisco\\.com/fr/appartements-a-louer/([a-z0-9\\-]+(?:/[a-z0-9\\-]+)*))\"'\n41\t)\n42\tSTATIC_IMG_RE = re.compile(\n43\t r'(?:src|data-src|href)=\"(https://logisco\\.com/static/[^\"]+\\.(?:webp|jpe?g|png))\"'\n44\t)\n45\tEXCLUDE_UNIT_RE = re.compile(r\"stationnement|parking|rangement|commercial|garage\", re.I)\n46\t\n47\t\n48\tdef _text(el, sep: str = \" \") -> str:\n49\t \"\"\"Texte d'un élément, robuste aux