{"type":"user_prompt","text":"Jaimerais que dans Louka on ajoute un onglet option location court terme qui fait basculer vers aggregateur location court terme aggregeant airbnb , et autres comme suit Voici la liste la plus complète que je peux établir. Une liste 100 % exhaustive n'existe pas (des sites régionaux naissent et disparaissent), mais ceci couvre l'essentiel du marché québécois.\n1. Grandes plateformes internationales\n\t•\tVrbo (Expedia)\n\t•\tBooking.com\n\t•\tExpedia / Hotels.com (section locations de vacances)\n\t•\tTripAdvisor Rentals / FlipKey\n\t•\tAgoda Homes\n\t•\tPlum Guide – sélection haut de gamme avec vérification sur place\n\t•\tGlamping Hub – hébergements insolites\n\t•\tHipcamp – camping, terrains privés, cabines\n\t•\tMarriott Homes & Villas\n\t•\tSonder (appartements-hôtels, Montréal)\n\t•\tBlueground / Furnished Finder / Corporate Stays (séjours meublés de plusieurs semaines)\n\t•\tHomeExchange / Kindred (échange de maisons)\n\t•\tTrusted Housesitters (gardiennage de maison)\n2. Plateformes québécoises spécialisées chalets\n\t•\tMonsieurChalets – plateforme 100 % québécoise avec une sélection inspectée à la main dans 17 régions\n\t•\tWeChalet – orientation écotourisme, inventaire modeste mais sélectionné\n\t•\tChalet à Rabais – plus de 700 chalets au Québec et en Ontario, axé sur les rabais de dernière minute\n\t•\tChaletsalouer.com – contact direct locataire-propriétaire, sans commission\n\t•\tMaisonsetchaletsalouer.com – environ 280 propriétés avec une approche locale et personnalisée\n\t•\tQuebecLocationDeChalets.com – en ligne depuis 2004, sans frais de service ni réservation en ligne\n\t•\tRSVP Chalets\n\t•\tChalets Québec (chaletsquebec.com)\n\t•\tChalets au Québec (chaletsauquebec.com)\n\t•\tHébergement Québec\n\t•\tChaletsdirect.com\n\t•\tLocationschalets.com\n\t•\tTremblant Living, Chalets Laurentides, Chalets Charlevoix, Chalets Cantons-de-l'Est (agences régionales)\n3. Gîtes, auberges et hébergement insolite\n\t•\tGîtes et Auberges du Passant (Terroir et Saveurs)\n\t•\tBonjour Québec (site officiel, répertorie tout l'hébergement certifié CITQ)\n\t•\tRéseau Sépaq (chalets, prêt-à-camper, refuges)\n\t•\tParcs Canada (oTENTik, chalets)\n\t•\tRepère Boréal, Dômes Charlevoix, etc. (sites individuels d'hébergement insolite)\n4. Relogement et séjours meublés\n\t•\tSinistar – relogement temporaire (assurances, sinistres)\n\t•\tLouer.ca – publication sans frais, filtrage court terme et meublé possible, clientèle locale\n\t•\tLesPAC, Kijiji, Facebook Marketplace – petites annonces gratuites, court et long terme\n\t•\tGroupes Facebook régionaux (« Chalets à louer Laurentides », etc.)\n\t•\tCraigslist Montréal / Québec\n5. Étudiants, saisonniers et cas particuliers\n\t•\tRésidences universitaires (UQAM, Laval, McGill, Concordia, Sherbrooke) – chambres l'été\n\t•\tAuberges de jeunesse (HI Canada)\n\t•\tCouchsurfing\n\t•\tWarmshowers (cyclistes)\n\t•\tBonjour Résidences (RPA, séjours temporaires pour aînés)\nRappel : tout séjour de 31 nuits ou moins doit être offert par un établissement détenant un numéro CITQ, peu importe le site utilisé.\n\n\nTu dois créer actor apify pour chaque source (connector) ou sans apiufy via crawler connector, et cette section doit etre sur un autre page Diu site ety pas contaminer Louka standard","ts":1787441413937} {"type":"status","state":"running"} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJf4nxTGtwJ7JgRwaB8T","type":"message","role":"assistant","content":[{"type":"text","text":"Je vais d'abord explorer l'architecture de lou-ka (connecteurs existants, pipeline, frontend) pour bâtir la section court terme proprement, sans contaminer le site standard."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":35065,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":35065,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c956b8ca-f78b-48cc-a691-890a6b09bb71"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F1u3DMmk5Y6x1FgagTGZEF","type":"tool_result","content":"1\t---\n2\tname: Pertinence des annonces Lou-Ka\n3\tdescription: L'utilisateur exige que Lou-Ka n'affiche QUE des logements à louer au mois — pas de stationnements (~200 $), garages, locaux commerciaux, objets, tarifs à la nuit\n4\ttype: feedback\n5\toriginSessionId: 048b2f77-93a9-4c47-9af0-6898fcb24dcd\n6\t---\n7\tLou-Ka ne doit afficher que des logements à louer au mois. Les annonces hors sujet (stationnements ~200 $, garages/entreposage, locaux commerciaux/bureaux, objets divers, tarifs à la nuit) doivent être mises en quarantaine, pas affichées.\n8\t\n9\t**Why:** demande explicite du 2026-08-21 — les stationnements à ~200 $ polluaient les résultats ; « fait un effort pour que ça soit toute pertinent les annonces ».\n10\t\n11\t**How to apply:** la porte centrale est `relevance_reason()` dans `louka/quality.py` (quarantaine `published=0`, raisons « hors sujet : … »). Si de nouvelles annonces non pertinentes apparaissent (nouvelle source, nouveau motif), étendre cette fonction plutôt que filtrer côté frontend ou connecteur par connecteur. Toujours faire un essai à blanc sur la base avant backfill (les titres « avec stationnement inclus » et les immeubles mixtes sont des faux positifs classiques). Même exigence de pertinence probable sur les autres sites Ka.\n12\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"058a3ea6-605e-43aa-a720-875dfb0fffa2","timestamp":"2026-08-22T23:30:26.296Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/feedback_pertinence.md","content":"---\nname: Pertinence des annonces Lou-Ka\ndescription: L'utilisateur exige que Lou-Ka n'affiche QUE des logements à louer au mois — pas de stationnements (~200 $), garages, locaux commerciaux, objets, tarifs à la nuit\ntype: feedback\noriginSessionId: 048b2f77-93a9-4c47-9af0-6898fcb24dcd\n---\nLou-Ka ne doit afficher que des logements à louer au mois. Les annonces hors sujet (stationnements ~200 $, garages/entreposage, locaux commerciaux/bureaux, objets divers, tarifs à la nuit) doivent être mises en quarantaine, pas affichées.\n\n**Why:** demande explicite du 2026-08-21 — les stationnements à ~200 $ polluaient les résultats ; « fait un effort pour que ça soit toute pertinent les annonces ».\n\n**How to apply:** la porte centrale est `relevance_reason()` dans `louka/quality.py` (quarantaine `published=0`, raisons « hors sujet : … »). Si de nouvelles annonces non pertinentes apparaissent (nouvelle source, nouveau motif), étendre cette fonction plutôt que filtrer côté frontend ou connecteur par connecteur. Toujours faire un essai à blanc sur la base avant backfill (les titres « avec stationnement inclus » et les immeubles mixtes sont des faux positifs classiques). Même exigence de pertinence probable sur les autres sites Ka.\n","numLines":12,"startLine":1,"totalLines":12}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJf4nxTGtwJ7JgRwaB8T","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","name":"Agent","input":{"description":"Explorer architecture lou-ka","subagent_type":"Explore","prompt":"Explore le repo /Users/simon-pierreboucher/apps/lou-ka (app de location de logements au Québec, Groupe Ka). Thoroughness: very thorough.\n\nJe veux ajouter une NOUVELLE section « location court terme » (agrégateur type Airbnb/chalets) sur une page séparée, avec ses propres connecteurs, sans toucher au pipeline standard. Pour ça j'ai besoin de comprendre :\n\n1. Structure globale du repo (arborescence top-level, backend/frontend, langage, frameworks).\n2. Le pipeline de connecteurs existant : où sont les connecteurs (ex. fb_marketplace, apartments_com, kijiji…), comment un connecteur est structuré (classe de base? fonction? config?), comment ils sont orchestrés (cron? script run_all?), comment les résultats sont normalisés/insérés en DB.\n3. La base de données : SQLite/Postgres? schéma des tables (listings, etc.), où est le fichier/connexion, comment quality.py / relevance_reason() fonctionne (quarantaine).\n4. Le backend web : framework (FastAPI/Express?), routes API existantes (liste, carte, geojson, détail), port, comment PM2 le lance (nom du process pm2), fichier d'entrée.\n5. Le frontend : SPA ou pages serveur? où sont les templates/JS/CSS, comment le header/nav est construit (pour ajouter un onglet), comment la page liste + carte fonctionne, y a-t-il un système de \"sections\" ou tout est mono-vertical.\n6. Les acteurs Apify existants du repo (ka-fb-marketplace, ka-apartments-com) : où est leur code source dans le repo, structure (.actor/, main.py…), comment le pipeline les appelle (API Apify? apify call?).\n7. Tout mécanisme de config (.env, settings) et le build éventuel (npm build? rien?).\n\nRapporte les chemins de fichiers précis et des extraits courts des patterns clés (classe connecteur, insertion DB, enregistrement des routes, nav header). Réponse structurée, max ~800 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":35065,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":35065,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"aabc4b5a-4d96-46e2-8989-20f1c9d18cd0"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Explorer architecture lou-ka","task_type":"local_agent","prompt":"Explore le repo /Users/simon-pierreboucher/apps/lou-ka (app de location de logements au Québec, Groupe Ka). Thoroughness: very thorough.\n\nJe veux ajouter une NOUVELLE section « location court terme » (agrégateur type Airbnb/chalets) sur une page séparée, avec ses propres connecteurs, sans toucher au pipeline standard. Pour ça j'ai besoin de comprendre :\n\n1. Structure globale du repo (arborescence top-level, backend/frontend, langage, frameworks).\n2. Le pipeline de connecteurs existant : où sont les connecteurs (ex. fb_marketplace, apartments_com, kijiji…), comment un connecteur est structuré (classe de base? fonction? config?), comment ils sont orchestrés (cron? script run_all?), comment les résultats sont normalisés/insérés en DB.\n3. La base de données : SQLite/Postgres? schéma des tables (listings, etc.), où est le fichier/connexion, comment quality.py / relevance_reason() fonctionne (quarantaine).\n4. Le backend web : framework (FastAPI/Express?), routes API existantes (liste, carte, geojson, détail), port, comment PM2 le lance (nom du process pm2), fichier d'entrée.\n5. Le frontend : SPA ou pages serveur? où sont les templates/JS/CSS, comment le header/nav est construit (pour ajouter un onglet), comment la page liste + carte fonctionne, y a-t-il un système de \"sections\" ou tout est mono-vertical.\n6. Les acteurs Apify existants du repo (ka-fb-marketplace, ka-apartments-com) : où est leur code source dans le repo, structure (.actor/, main.py…), comment le pipeline les appelle (API Apify? apify call?).\n7. Tout mécanisme de config (.env, settings) et le build éventuel (npm build? rien?).\n\nRapporte les chemins de fichiers précis et des extraits courts des patterns clés (classe connecteur, insertion DB, enregistrement des routes, nav header). Réponse structurée, max ~800 mots.","uuid":"2e1bbe69-0944-4a61-85d7-9aa58733aa76","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore le repo /Users/simon-pierreboucher/apps/lou-ka (app de location de logements au Québec, Groupe Ka). Thoroughness: very thorough.\n\nJe veux ajouter une NOUVELLE section « location court terme » (agrégateur type Airbnb/chalets) sur une page séparée, avec ses propres connecteurs, sans toucher au pipeline standard. Pour ça j'ai besoin de comprendre :\n\n1. Structure globale du repo (arborescence top-level, backend/frontend, langage, frameworks).\n2. Le pipeline de connecteurs existant : où sont les connecteurs (ex. fb_marketplace, apartments_com, kijiji…), comment un connecteur est structuré (classe de base? fonction? config?), comment ils sont orchestrés (cron? script run_all?), comment les résultats sont normalisés/insérés en DB.\n3. La base de données : SQLite/Postgres? schéma des tables (listings, etc.), où est le fichier/connexion, comment quality.py / relevance_reason() fonctionne (quarantaine).\n4. Le backend web : framework (FastAPI/Express?), routes API existantes (liste, carte, geojson, détail), port, comment PM2 le lance (nom du process pm2), fichier d'entrée.\n5. Le frontend : SPA ou pages serveur? où sont les templates/JS/CSS, comment le header/nav est construit (pour ajouter un onglet), comment la page liste + carte fonctionne, y a-t-il un système de \"sections\" ou tout est mono-vertical.\n6. Les acteurs Apify existants du repo (ka-fb-marketplace, ka-apartments-com) : où est leur code source dans le repo, structure (.actor/, main.py…), comment le pipeline les appelle (API Apify? apify call?).\n7. 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GRX6VrH6pi54jZgL4Ke59P","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:\n201\t r = getattr(exc, \"response\", None)\n202\t if r is not None and _kar.is_blocked(r):\n203\t target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n204\t better = _kar.escalate_if_blocked(\n205\t r, target, timeout=timeout, headers=headers)\n206\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n207\t return better\n208\t raise\n209\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n210\t better = _kar.escalate(_ka_full_url(url, kw),\n211\t timeout=timeout, headers=headers)\n212\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n213\t return better\n214\t raise\n215\t\n216\t def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n217\t \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n218\t\n219\t Comme get() mais tente d'abord le direct puis escalade même sur 200-\n220\t challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n221\t requests (.text/.content/.status_code/.json()...).\n222\t \"\"\"\n223\t timeout = getattr(self, \"timeout\", 30)\n224\t headers = kw.get(\"headers\")\n225\t try:\n226\t resp = _ka_orig_get(self, url, **kw)\n227\t except _ka_requests.HTTPError as exc:\n228\t resp = getattr(exc, \"response\", None)\n229\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n230\t resp = None\n231\t target = _ka_full_url(url, kw)\n232\t if resp is not None and getattr(resp, \"url\", None):\n233\t target = resp.url\n234\t return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n235\t country=country, render_js=render_js,\n236\t headers=headers)\n237\t\n238\t BaseConnector.get = _ka_resilient_get\n239\t BaseConnector.get_resilient = _ka_get_resilient\n240\t BaseConnector._KA_RESILIENT_WRAPPED = True\n241\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"bf3c1531-6cff-4c8d-97d4-9061949bfe7d","timestamp":"2026-08-22T23:30:47.373Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/db.py","usage":{"total_tokens":14491,"tool_uses":8,"duration_ms":9101},"last_tool_name":"Read","uuid":"a404d7e1-9cd4-4478-81ee-8da0c9a4874d","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WamS52mmkPPMvmtqkvQXWT","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# db.py : persistance SQLite — upsert avec détection de changements,\n5\t# cycle de vie avec délai de grâce (2 syncs), détection de dérive,\n6\t# cache des pages détail, cache de géocodage.\n7\t# -----------------------------------------------------------------------------\n8\tfrom __future__ import annotations\n9\t\n10\timport json\n11\timport sqlite3\n12\timport statistics\n13\timport time\n14\tfrom pathlib import Path\n15\t\n16\tfrom .schema import Listing\n17\t\n18\tDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"\n19\t\n20\t# Nombre d'exécutions consécutives où une annonce doit être absente de la\n21\t# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).\n22\tMISS_GRACE = 2\n23\t\n24\t# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique\n25\t# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.\n26\tDRIFT_RATIO = 0.25\n27\tDRIFT_MIN_BASE = 8\n28\tDRIFT_HISTORY = 5\n29\t\n30\t_SCHEMA = \"\"\"\n31\tCREATE TABLE IF NOT EXISTS listings (\n32\t uid TEXT PRIMARY KEY,\n33\t source TEXT NOT NULL,\n34\t external_id TEXT NOT NULL,\n35\t url TEXT,\n36\t title TEXT,\n37\t address TEXT,\n38\t sector TEXT,\n39\t city TEXT,\n40\t unit_type TEXT,\n41\t bedrooms REAL,\n42\t bathrooms REAL,\n43\t price REAL,\n44\t price_label TEXT,\n45\t availability TEXT,\n46\t availability_date TEXT,\n47\t area_sqft REAL,\n48\t pets TEXT,\n49\t furnished INTEGER,\n50\t description TEXT,\n51\t amenities TEXT, -- JSON (liste de textes source)\n52\t details TEXT, -- JSON (champs structurés : inclusions, parking…)\n53\t images TEXT, -- JSON\n54\t lat REAL,\n55\t lng REAL,\n56\t geocode_failed INTEGER DEFAULT 0,\n57\t content_hash TEXT,\n58\t first_seen REAL,\n59\t last_seen REAL,\n60\t updated_at REAL,\n61\t miss_count INTEGER DEFAULT 0,\n62\t active INTEGER DEFAULT 1\n63\t);\n64\tCREATE INDEX IF NOT EXISTS idx_listings_source ON listings(source);\n65\tCREATE INDEX IF NOT EXISTS idx_listings_city ON listings(city);\n66\tCREATE INDEX IF NOT EXISTS idx_listings_active ON listings(active);\n67\tCREATE INDEX IF NOT EXISTS idx_listings_geo ON listings(lat, lng);\n68\t\n69\tCREATE TABLE IF NOT EXISTS sync_log (\n70\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n71\t source TEXT,\n72\t ts REAL,\n73\t found INTEGER,\n74\t added INTEGER,\n75\t updated INTEGER,\n76\t removed INTEGER,\n77\t ok INTEGER,\n78\t message TEXT,\n79\t stats TEXT -- JSON : taux de champs null, missed, alerte…\n80\t);\n81\t\n82\tCREATE TABLE IF NOT EXISTS detail_cache (\n83\t source TEXT NOT NULL,\n84\t external_id TEXT NOT NULL,\n85\t key TEXT, -- hash du contenu « liste » de l'annonce\n86\t payload TEXT, -- JSON opaque propre au connecteur\n87\t fetched_at REAL,\n88\t PRIMARY KEY (source, external_id)\n89\t);\n90\t\n91\tCREATE TABLE IF NOT EXISTS price_log (\n92\t uid TEXT NOT NULL,\n93\t ts REAL NOT NULL,\n94\t price REAL -- prix observé (NULL = retiré de l'affichage)\n95\t);\n96\tCREATE INDEX IF NOT EXISTS idx_price_log_uid ON price_log(uid);\n97\t\n98\tCREATE TABLE IF NOT EXISTS poi_cache (\n99\t coord_key TEXT PRIMARY KEY, -- \"lat,lng\" arrondi à 4 décimales (~11 m)\n100\t lat REAL,\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"10c748b3-5fc0-4f4a-8389-409561f52a36","timestamp":"2026-08-22T23:30:47.718Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019Bg9rj54rpc8uuWe2bimLq","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# quality.py : score de complétude par annonce + seuil minimum de publication\n5\t# Une annonce sous le seuil (sans prix, sans localisation ou sans contenu\n6\t# exploitable) est mise en QUARANTAINE (published=0) : conservée en base,\n7\t# re-synchronisée normalement, mais jamais affichée sur le site.\n8\t# -----------------------------------------------------------------------------\n9\tfrom __future__ import annotations\n10\t\n11\timport json\n12\timport re\n13\t\n14\t# Seuil de publication (score 0–100). Les portes dures (prix, localisation,\n15\t# contenu) s'appliquent en plus du score — voir evaluate().\n16\tPUBLISH_THRESHOLD = 40\n17\t\n18\t# Pondération du score de complétude (total = 100)\n19\tW_PRICE = 20 # prix mensuel exploitable\n20\tW_LOCATION = 14 # adresse OU coordonnées GPS (partiel si ville seulement)\n21\tW_CITY = 4\n22\tW_DESCRIPTION = 14 # >= 200 caractères ; partiel si >= 60\n23\tW_IMAGES = 16 # 0 -> 0 ; 1 -> 6 ; 2-4 -> 11 ; >= 5 -> 16\n24\tW_UNIT = 8 # type d'unité ou nombre de chambres\n25\tW_AVAILABILITY = 5\n26\tW_AREA = 4\n27\tW_BATHROOMS = 3\n28\tW_AMENITIES = 5 # >= 3 commodités ; partiel si >= 1\n29\tW_DETAILS = 4 # >= 3 champs structurés\n30\tW_URL = 3 # lien vers l'annonce originale (contact / réservation)\n31\t\n32\t\n33\t# ---- pertinence : n'afficher que des LOGEMENTS à louer au mois --------------\n34\t# Certaines sources mêlent stationnements, garages, entreposage, locaux\n35\t# commerciaux, objets divers ou locations à la nuit — souvent à ~200 $/mois.\n36\t# Ces annonces passent le score de complétude mais ne sont pas des logements :\n37\t# on les met en quarantaine (published=0) avec une raison « hors sujet ».\n38\t\n39\t# vocabulaire logement (titre/description)\n40\t_RE_RES = re.compile(\n41\t r\"chambre|room|studio|appart|apartment|condo|loft|maison|house|\"\n42\t r\"logement|logis\\b|r[ée]sidences?\\b|chalet|penthouse|duplex|triplex|\"\n43\t r\"bachelor|colocation|\"\n44\t r\"sous-sol|basement|½|1/2|\\b\\d[.,]5\\b|\\bdemie?s?\\b|\\bbed(?:room)?s?\\b|\"\n45\t r\"\\bunit[ée]?s?\\b|\\bpi[eè]ces\\b\", re.I)\n46\t\n47\t# objet non résidentiel proposé à la location\n48\t_RE_NONRES = re.compile(\n49\t r\"stationnements?|parkings?|garages?|entrep[oô]ts?|entreposage|\"\n50\t r\"espaces? de rangement|places? de (?:stationnement|parking)|\"\n51\t r\"lockers?|cabanons?|remises?|\"\n52\t r\"loca(?:l|ux) commercia(?:l|ux)|espaces? commercia(?:l|ux)|\\bbureaux?\\b\",\n53\t re.I)\n54\t\n55\t# description qui COMMENCE par l'objet non résidentiel (l'annonce vend ça)\n56\t_RE_DESC_LEAD = re.compile(\n57\t r\"^\\W*(?:grande?s?|petite?s?|beaux?|belles?|beau|magnifiques?|superbes?|\"\n58\t r\"jolie?s?|\\d+)?\\s*\"\n59\t r\"(?:stationnements?|parkings?|garages?|entrep[oô]ts?|\"\n60\t r\"places? de (?:stationnement|parking)|espaces? de (?:rangement|stationnement)|\"\n61\t r\"bureaux?|loca(?:l|ux) (?:commercia(?:l|ux)|industriels?|professionnels?))\\b\",\n62\t re.I)\n63\t\n64\t# local commercial / bureau / industriel (titre ou description)\n65\t_RE_COMMERCIAL = re.compile(\n66\t r\"loca(?:l|ux)\\s+(?:commercia(?:l|ux)|industriels?|professionnels?)|\"\n67\t r\"espaces?\\s+(?:de\\s+)?bureaux?\\b|espaces?\\s+commercia(?:l|ux)|\"\n68\t r\"aménagé\\s+en\\s+(?:restaurant|commerce|boutique)|\"\n69\t r\"(?:usage|zonage|bail)\\s+commercial\", re.I)\n70\t\n71\t# « bureau » comme nom de rue (av. Jacques-Bureau…) — pas un local à louer\n72\t_RE_STREET_BUREAU = re.compile(\n73\t r\"(?:av(?:enue)?|rue|boul(?:evard)?|ch(?:emin)?|pl(?:ace)?)\\.?\\s+\"\n74\t r\"(?:\\w+[- ])?bureau\\b\", re.I)\n75\t\n76\t# location à la nuit / courte durée (le « loyer » n'est pas un prix mensuel)\n77\t_RE_NIGHTLY = re.compile(\n78\t r\"tarif par nuit|prix par nuit|par nuit et non par mois|\"\n79\t r\"location à la nuit|court terme seulement\", re.I)\n80\t\n81\t\n82\tdef relevance_reason(d: dict) -> str | None:\n83\t \"\"\"Retourne la raison de quarantaine si l'annonce n'est pas un logement\n84\t à louer au mois (stationnement, garage, entreposage, local commercial,\n85\t objet divers, location à la nuit), sinon None.\n86\t\n87\t Les seuils de prix évitent les faux positifs : un vrai logement dont le\n88\t titre mentionne « garage » (ex. « Garage intérieur chauffé » pour un 4½\n89\t à 2 250 $) reste publié, alors qu'un « garage à louer » à 195 $ tombe.\n90\t \"\"\"\n91\t title = (d.get(\"title\") or \"\").strip()\n92\t desc = (d.get(\"description\") or \"\").strip()\n93\t head = desc[:300]\n94\t price = d.get(\"price\")\n95\t priced = isinstance(price, (int, float))\n96\t unit = (d.get(\"unit_type\") or \"\").strip()\n97\t res_title = bool(_RE_RES.search(title))\n98\t res_text = res_title or bool(_RE_RES.search(head))\n99\t\n100\t # 1) le titre vend un stationnement/garage/local, sans vocabulaire logement\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c7afd40c-ea0e-4b1d-8d1a-c6be6f9d1e8b","timestamp":"2026-08-22T23:30:47.716Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/web.py","usage":{"total_tokens":14495,"tool_uses":10,"duration_ms":9393},"last_tool_name":"Read","uuid":"65949b8d-07af-4679-86b6-5bcab896d943","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf786hKQFWTzZo4aJLs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013fGv7CxKh3WMTHv4RVgKEk","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":229,"cache_read_input_tokens":14144,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"b3fb9f63-5178-4a66-87c9-5c545d9e10f5"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013fGv7CxKh3WMTHv4RVgKEk","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# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n5\t# -----------------------------------------------------------------------------\n6\tfrom __future__ import annotations\n7\t\n8\timport json\n9\timport threading\n10\tfrom pathlib import Path\n11\t\n12\tfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\n13\tfrom fastapi.middleware.cors import CORSMiddleware\n14\tfrom fastapi.middleware.gzip import GZipMiddleware\n15\tfrom fastapi.responses import FileResponse\n16\tfrom fastapi.staticfiles import StaticFiles\n17\t\n18\tfrom . import auth, db, ingest\n19\t\n20\tROOT = Path(__file__).resolve().parent.parent\n21\tSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\n22\tFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n23\t\n24\tapp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n25\t description=\"Agrégateur de logements à louer — province de Québec\")\n26\tapp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n27\t allow_methods=[\"*\"], allow_headers=[\"*\"])\n28\tapp.add_middleware(GZipMiddleware, minimum_size=1000)\n29\t\n30\t_sync_lock = threading.Lock()\n31\t\n32\t# comptes utilisateurs (connexion Google) — voir louka/auth.py\n33\tapp.include_router(auth.router)\n34\t\n35\t# rôles, favoris, pages gestionnaires — voir louka/accounts.py\n36\tfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\n37\tapp.include_router(accounts.router)\n38\t\n39\t# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\n40\tfrom . import profile as user_profile # noqa: E402\n41\tapp.include_router(user_profile.router)\n42\t\n43\t# fichiers téléversés (photos de profil) — data/uploads/\n44\t_UPLOADS = ROOT / \"data\" / \"uploads\"\n45\t_UPLOADS.mkdir(parents=True, exist_ok=True)\n46\tapp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n47\t\n48\t\n49\tdef _row_to_dict(row) -> dict:\n50\t d = dict(row)\n51\t d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n52\t d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n53\t # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n54\t # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n55\t imgs_ok = d.pop(\"images_ok\", None)\n56\t if imgs_ok:\n57\t try:\n58\t cleaned = json.loads(imgs_ok)\n59\t if isinstance(cleaned, list):\n60\t d[\"images\"] = cleaned\n61\t except (ValueError, TypeError):\n62\t pass\n63\t d.pop(\"img_audit\", None)\n64\t d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n65\t # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n66\t if d.get(\"dup_sources\"):\n67\t try:\n68\t d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n69\t except (ValueError, TypeError):\n70\t d[\"dup_sources\"] = []\n71\t if d.get(\"furnished\") is not None:\n72\t d[\"furnished\"] = bool(d[\"furnished\"])\n73\t return d\n74\t\n75\t\n76\t@app.get(\"/api/listings\")\n77\tdef list_listings(\n78\t city: str | None = None,\n79\t sector: str | None = None,\n80\t unit_type: str | None = None,\n81\t source: str | None = None,\n82\t price_max: float | None = None,\n83\t price_min: float | None = None,\n84\t pets: str | None = None, # \"oui\" -> oui OU conditions\n85\t furnished: int | None = None, # 1 / 0\n86\t available_by: str | None = None, # ISO : dispo maintenant ou avant date\n87\t area_min: float | None = None, # superficie minimale (pi²)\n88\t q: str | None = None,\n89\t deal: str | None = None, # sous | marche | sur (fair value)\n90\t kascore_min: float | None = None, # KA Score global minimal\n91\t sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n92\t active: int = 1,\n93\t limit: int = Query(500, le=2000),\n94\t offset: int = 0,\n95\t):\n96\t con = db.connect()\n97\t sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n98\t \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n99\t \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n100\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"01e611a2-6e1c-4009-985a-599fcd7ee3ff","timestamp":"2026-08-22T23:30:48.004Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading run.py","usage":{"total_tokens":23580,"tool_uses":11,"duration_ms":10771},"last_tool_name":"Read","uuid":"1c3907d6-4b3d-43eb-95fc-7c1387375bba","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7HcSRmkMTmcFi2tFQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EjyrjS1PFcbDa6TUGbwvno","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/run.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9066,"cache_read_input_tokens":14373,"cache_creation":{"ephemeral_5m_input_tokens":9066,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"a298b38b-bdcf-4fd5-8c1a-92f9d9b2e3d0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EjyrjS1PFcbDa6TUGbwvno","type":"tool_result","content":"1\t#!/usr/bin/env python3\n2\t# -----------------------------------------------------------------------------\n3\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n4\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n5\t# run.py : point d'entrée — `sync`, `watch`, `serve`\n6\t# -----------------------------------------------------------------------------\n7\t\"\"\"Utilisation :\n8\t python run.py sync [source ...] # synchronise les annonces\n9\t python run.py watch [minutes] # synchronise en boucle (défaut 60 min)\n10\t python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n11\t python run.py record # enregistre les fixtures de test d'une source\n12\t python run.py geocode [n] # géocode les annonces sans coordonnées (max n requêtes)\n13\t python run.py poi [n] # commodités de proximité par immeuble (max n requêtes)\n14\t python run.py env [n] # environnement OSM par tuile (socle des KA Scores)\n15\t python run.py kascores [all] # calcule les KA Scores du parc (all = tout recalculer)\n16\t\"\"\"\n17\tfrom __future__ import annotations\n18\t\n19\timport os\n20\timport sys\n21\tfrom pathlib import Path\n22\t\n23\t# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n24\t_env = Path(__file__).parent / \".env\"\n25\tif _env.exists():\n26\t for line in _env.read_text().splitlines():\n27\t line = line.strip()\n28\t if line and not line.startswith(\"#\") and \"=\" in line:\n29\t k, _, v = line.partition(\"=\")\n30\t os.environ.setdefault(k.strip(), v.strip())\n31\t\n32\t\n33\tdef main() -> None:\n34\t cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n35\t if cmd == \"sync\":\n36\t from louka import ingest\n37\t ingest.run(sys.argv[2:] or None)\n38\t elif cmd == \"watch\":\n39\t from louka import ingest\n40\t minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n41\t ingest.watch(minutes * 60)\n42\t elif cmd == \"geocode1\":\n43\t from louka import geocode\n44\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n45\t geocode.run(limit)\n46\t elif cmd == \"geocode\":\n47\t # lot Adresses Québec (rapide) ; « geocode1 » = ancien mode 1-par-1\n48\t from louka import geocode\n49\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n50\t geocode.run_batch(limit)\n51\t elif cmd == \"quality\":\n52\t # (re)calcule le score de complétude + publication/quarantaine\n53\t from louka import quality\n54\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n55\t quality.backfill(limit)\n56\t elif cmd == \"imgaudit\":\n57\t # contrôle qualité des images (liens morts, minuscules, placeholders,\n58\t # doublons) — incrémental : python run.py imgaudit [n_annonces] [source]\n59\t from louka import imgcheck\n60\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else 1500\n61\t src = sys.argv[3] if len(sys.argv) > 3 else None\n62\t imgcheck.run(limit, source=src)\n63\t elif cmd == \"fairvalue\":\n64\t # (re)calcule la juste valeur locative de toutes les annonces publiées\n65\t from louka import fairvalue\n66\t fairvalue.compute_all()\n67\t elif cmd == \"poi\":\n68\t from louka import poi\n69\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n70\t poi.run(limit)\n71\t elif cmd == \"quartier\":\n72\t from louka import quartier\n73\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n74\t quartier.enrich(limit)\n75\t elif cmd == \"env\":\n76\t # données d'environnement OSM par tuile (routes, rails, cyclable,\n77\t # bars, POI complets) — cache ~3 mois, socle des KA Scores\n78\t from louka import environment\n79\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n80\t print(environment.run(limit))\n81\t elif cmd == \"kascores\":\n82\t # (re)calcule les KA Scores (Walk/Transit/Bike/Calme/Services + global)\n83\t # incrémental ; « python run.py kascores all » force tout le parc\n84\t from louka import kascores\n85\t force = len(sys.argv) > 2 and sys.argv[2] == \"all\"\n86\t print(kascores.run(recompute_all=force))\n87\t elif cmd == \"record\":\n88\t from louka import fixtures\n89\t from louka.connectors import CONNECTORS\n90\t targets = sys.argv[2:] or sorted(CONNECTORS)\n91\t for sid in targets:\n92\t try:\n93\t print(f\"[lou-ka] record {sid} ... {fixtures.record(sid)}\")\n94\t except Exception as exc:\n95\t print(f\"[lou-ka] record {sid} ÉCHEC : {exc}\", file=sys.stderr)\n96\t elif cmd == \"serve\":\n97\t import uvicorn\n98\t port = int(sys.argv[2]) if len(sys.argv) > 2 else 8080\n99\t uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=port)\n100\t else:\n101\t print(__doc__)\n102\t sys.exit(1)\n103\t\n104\t\n105\tif __name__ == \"__main__\":\n106\t main()\n107\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"a3a20af1-3ad3-40c2-9cb6-dff9443dd343","timestamp":"2026-08-22T23:30:49.384Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running find /Users/simon-pierreboucher/apps/lou-ka/louka…","usage":{"total_tokens":23598,"tool_uses":12,"duration_ms":11095},"last_tool_name":"Bash","uuid":"59f07c56-2d88-4d34-9b71-863b0537d773","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7HcSRmkMTmcFi2tFQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CuTvzFxeojtYpqN1a1bmic","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/lou-ka/louka/connectors -name \"__init__.py\" | head -1 | xargs head -50"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9066,"cache_read_input_tokens":14373,"cache_creation":{"ephemeral_5m_input_tokens":9066,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"ba0ce94d-b2dd-460b-86f4-16c1dcfbc60f"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CuTvzFxeojtYpqN1a1bmic","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/__init__.py : registre AUTO-DÉCOUVRANT des connecteurs\n# Tout module de ce paquet contenant une sous-classe de BaseConnector avec un\n# source_id non vide est enregistré automatiquement — aucun fichier partagé\n# à modifier pour ajouter un connecteur.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport importlib\nimport pkgutil\nimport sys\n\nfrom .base import BaseConnector\n\nCONNECTORS: dict[str, type[BaseConnector]] = {}\n\nfor _mod in pkgutil.iter_modules(__path__):\n if _mod.name in (\"base\", \"__init__\"):\n continue\n try:\n module = importlib.import_module(f\"{__name__}.{_mod.name}\")\n except Exception as exc: # un connecteur cassé ne bloque pas les autres\n print(f\"[lou-ka] connecteur '{_mod.name}' ignoré : {exc}\", file=sys.stderr)\n continue\n for obj in vars(module).values():\n if (isinstance(obj, type) and issubclass(obj, BaseConnector)\n and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\n if getattr(obj, \"disabled\", False): # source hors-ligne (voir le module)\n continue\n CONNECTORS[obj.source_id] = obj","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"81294c5c-bf35-493b-98de-e3e39bab3440","timestamp":"2026-08-22T23:30:49.742Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/ingest.py","usage":{"total_tokens":23616,"tool_uses":13,"duration_ms":11415},"last_tool_name":"Read","uuid":"da4bb04d-1085-4c01-994f-a6c223aa1c36","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7HcSRmkMTmcFi2tFQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FE1dcwY95d9uvYF4CDHydE","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/ingest.py","limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":9066,"cache_read_input_tokens":14373,"cache_creation":{"ephemeral_5m_input_tokens":9066,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"6ee1b3a6-13d5-42f4-9a8a-9067619f4c74"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FE1dcwY95d9uvYF4CDHydE","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# ingest.py : pipeline d'ingestion — exécute les connecteurs et synchronise\n5\t# la base (ajouts / mises à jour / retraits) = contenu toujours à jour\n6\t# -----------------------------------------------------------------------------\n7\tfrom __future__ import annotations\n8\t\n9\timport sys\n10\timport time\n11\timport traceback\n12\t\n13\tfrom . import db\n14\tfrom .connectors import CONNECTORS\n15\t\n16\t# Disjoncteur (circuit breaker) : une source qui a échoué aux BREAKER_FAILS\n17\t# derniers passages consécutifs est SAUTÉE (les timeouts/retries des sources\n18\t# mortes ralentissaient tout le cycle), puis retentée un passage sur\n19\t# BREAKER_RETRY_EVERY. Les sauts sont consignés dans sync_log (ok=0,\n20\t# message « disjoncteur: … ») — ils comptent donc comme échecs consécutifs,\n21\t# ce qui fait avancer le compteur jusqu'à la prochaine retentative.\n22\tBREAKER_FAILS = 5\n23\tBREAKER_RETRY_EVERY = 5\n24\t\n25\t\n26\tdef _consecutive_failures(con, source: str) -> int:\n27\t \"\"\"Nombre d'entrées sync_log ok=0 consécutives (les plus récentes).\"\"\"\n28\t rows = con.execute(\n29\t \"SELECT ok FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 60\",\n30\t (source,)).fetchall()\n31\t n = 0\n32\t for r in rows:\n33\t if r[\"ok\"]:\n34\t break\n35\t n += 1\n36\t return n\n37\t\n38\t\n39\tdef run(sources: list[str] | None = None) -> list[dict]:\n40\t \"\"\"Exécute l'ingestion pour toutes les sources (ou celles demandées).\"\"\"\n41\t con = db.connect()\n42\t results = []\n43\t explicit = sources is not None # sync ciblé : ignorer le disjoncteur\n44\t targets = sources or list(CONNECTORS.keys())\n45\t for sid in targets:\n46\t cls = CONNECTORS.get(sid)\n47\t if cls is None:\n48\t print(f\"[lou-ka] connecteur inconnu : {sid}\", file=sys.stderr)\n49\t continue\n50\t if not explicit:\n51\t fails = _consecutive_failures(con, sid)\n52\t if fails >= BREAKER_FAILS and fails % BREAKER_RETRY_EVERY != 0:\n53\t print(f\"[lou-ka] {sid} sauté (disjoncteur : \"\n54\t f\"{fails} échecs consécutifs)\")\n55\t db.log_failure(con, sid,\n56\t f\"disjoncteur: sauté ({fails} échecs consécutifs)\")\n57\t results.append({\"source\": sid, \"skipped\": True, \"fails\": fails})\n58\t continue\n59\t t0 = time.time()\n60\t print(f\"[lou-ka] sync {sid} ...\")\n61\t try:\n62\t listings = cls().fetch()\n63\t finalized, dropped = [], 0\n64\t for lst in listings:\n65\t try:\n66\t finalized.append(lst.finalize())\n67\t except Exception: # une annonce malformée ne bloque pas la source\n68\t dropped += 1\n69\t stats = db.sync_source(con, sid, finalized)\n70\t stats[\"seconds\"] = round(time.time() - t0, 1)\n71\t if dropped:\n72\t stats[\"dropped\"] = dropped\n73\t if stats.get(\"alert\"):\n74\t print(f\"[lou-ka] ⚠ ALERTE {sid} : {stats['alert']}\")\n75\t print(f\"[lou-ka] {stats}\")\n76\t results.append(stats)\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 # statistiques du planificateur SQLite : sans elles, les requêtes bbox de\n82\t # la carte (Ka Maps) retombent sur idx_listings_active au lieu du géo-index\n83\t try:\n84\t con.execute(\"PRAGMA optimize\")\n85\t except Exception:\n86\t pass\n87\t con.close()\n88\t return results\n89\t\n90\t\n91\tdef watch(interval_seconds: int = 3600) -> None:\n92\t \"\"\"Boucle de rafraîchissement périodique (pseudo-webhook par sondage).\"\"\"\n93\t while True:\n94\t run()\n95\t try: # géocoder les nouvelles adresses EN LOT (Adresses Québec)\n96\t from . import geocode\n97\t geocode.run_batch()\n98\t except Exception as exc:\n99\t print(f\"[lou-ka] geocode: erreur non bloquante: {exc}\", file=sys.stderr)\n100\t try: # commodités de proximité des nouveaux immeubles (cache aussi)\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c33ffe65-d17c-446d-bd58-b06c7b207373","timestamp":"2026-08-22T23:30:50.026Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading frontend/src/App.tsx","usage":{"total_tokens":27597,"tool_uses":14,"duration_ms":12741},"last_tool_name":"Read","uuid":"bb82124f-93a2-4ccc-a8af-028b2ed4c16c","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7SFqsrVpTnYp7TpB7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018mx2wHyGeUF5teFVJKgvSf","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx","limit":150},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3963,"cache_read_input_tokens":23439,"cache_creation":{"ephemeral_5m_input_tokens":3963,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"3d954704-c38e-4533-bbaf-e838ab9f357f"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018mx2wHyGeUF5teFVJKgvSf","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// App.tsx : layout global (header + ticker en direct + footer encre) et routage\n5\t// -----------------------------------------------------------------------------\n6\timport { useEffect, useState } from \"react\";\n7\timport { createPortal } from \"react-dom\";\n8\timport { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n9\timport {\n10\t fetchAuthConfig, fetchFacets, fetchSources, fetchStats,\n11\t logout, registerSourceNames, sourceName,\n12\t} from \"./api\";\n13\timport { AccountProvider, useAccount } from \"./account\";\n14\timport CookieConsent from \"./components/CookieConsent\";\n15\timport {\n16\t IcoChart, IcoCompass, IcoDoc, IcoFolder, IcoHeart, IcoHouse, IcoLock,\n17\t IcoMap, IcoSearch, IcoUser,\n18\t} from \"./components/Icons\";\n19\timport { LogoIcon } from \"./components/Logo\";\n20\timport GroupeKaBadge from \"./ka/GroupeKaBadge\";\n21\timport KaFooter from \"./ka/KaFooter\";\n22\timport ContactPage from \"./pages/Contact\";\n23\timport Home from \"./pages/Home\";\n24\timport ListingPage from \"./pages/Listing\";\n25\timport BotPage from \"./pages/Bot\";\n26\timport JusteValeurPage from \"./pages/JusteValeur\";\n27\timport KaScoresPage from \"./pages/KaScores\";\n28\timport PasserellePage from \"./pages/Passerelle\";\n29\timport PrivacyPage from \"./pages/Privacy\";\n30\timport ProfilePage from \"./pages/Profile\";\n31\timport PublicProfilePage from \"./pages/PublicProfile\";\n32\timport BienvenuePage from \"./pages/Bienvenue\";\n33\timport FavorisPage from \"./pages/Favoris\";\n34\timport GestionPage from \"./pages/Gestion\";\n35\timport GestionPublicPage from \"./pages/GestionPublic\";\n36\timport TermsPage from \"./pages/Terms\";\n37\timport SourcesPage from \"./pages/Sources\";\n38\timport StatsPage from \"./pages/Stats\";\n39\timport VillePage, { VillesPage } from \"./pages/Ville\";\n40\t\n41\tfunction Ticker() {\n42\t const [items, setItems] = useState([]);\n43\t\n44\t useEffect(() => {\n45\t Promise.all([fetchStats(), fetchFacets(), fetchSources()])\n46\t .then(([stats, facets, src]) => {\n47\t registerSourceNames(src.sources);\n48\t const parts: string[] = [\n49\t `${stats.total} logements actifs`,\n50\t `Québec ${stats.quebec ?? 0}`,\n51\t `Lévis ${stats.levis ?? 0}`,\n52\t ];\n53\t if ((stats.montreal ?? 0) > 0) parts.push(`Grand Montréal ${stats.montreal}`);\n54\t if (stats.avg_price != null)\n55\t parts.push(`Loyer moyen ${Math.round(stats.avg_price)} $`);\n56\t for (const s of facets.sources.slice(0, 10))\n57\t parts.push(`${sourceName(s.source)} · ${s.n}`);\n58\t parts.push(\"Mise à jour automatique\");\n59\t setItems(parts);\n60\t })\n61\t .catch(() => setItems([\"Lou-Ka — logements à louer au Québec\"]));\n62\t }, []);\n63\t\n64\t if (items.length === 0) return null;\n65\t // contenu doublé pour une boucle de défilement continue\n66\t return (\n67\t
\n68\t
\n69\t {[...items, ...items].map((t, i) => (\n70\t {t}\n71\t ))}\n72\t
\n73\t
\n74\t );\n75\t}\n76\t\n77\tconst NAV_LINKS = [\n78\t { to: \"/\", label: \"Logements\", icon: , end: true },\n79\t { to: \"/?view=carte\", label: \"Carte\", icon: , end: false, force: true },\n80\t { to: \"/stats\", label: \"Stats\", icon: , end: false },\n81\t { to: \"/sources\", label: \"Sources\", icon: , end: false },\n82\t { to: \"/contact\", label: \"Contact\", icon: , end: false },\n83\t { to: \"/conditions\", label: \"Conditions\", icon: , end: false },\n84\t { to: \"/confidentialite\", label: \"Confidentialité\", icon: , end: false },\n85\t];\n86\t\n87\t/** Bouton « Connexion » ou avatar + menu compte (connexion Google) */\n88\tfunction AccountMenu() {\n89\t const [enabled, setEnabled] = useState(false);\n90\t const { me, refresh } = useAccount();\n91\t const [menuOpen, setMenuOpen] = useState(false);\n92\t\n93\t useEffect(() => {\n94\t fetchAuthConfig().then((c) => setEnabled(c.ka || c.google)).catch(() => {});\n95\t }, []);\n96\t\n97\t // menu ouvert : fermeture à Escape (le tap extérieur passe par le backdrop)\n98\t useEffect(() => {\n99\t if (!menuOpen) return;\n100\t const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setMenuOpen(false); };\n101\t window.addEventListener(\"keydown\", onKey);\n102\t return () => window.removeEventListener(\"keydown\", onKey);\n103\t }, [menuOpen]);\n104\t\n105\t if (!enabled) return null;\n106\t if (!me) {\n107\t return (\n108\t \n109\t \n124\t KA\n125\t \n126\t Connexion\n127\t \n128\t );\n129\t }\n130\t return (\n131\t
\n132\t setMenuOpen(!menuOpen)}\n135\t aria-expanded={menuOpen}\n136\t aria-label={`Compte : ${me.name || me.email}`}\n137\t >\n138\t {me.picture\n139\t ? \"\"\n140\t : {(me.name || me.email).charAt(0).toUpperCase()}}\n141\t \n142\t {menuOpen && (\n143\t <>\n144\t {/* Backdrop rendu à la racine (createPortal) : le backdrop-filter du\n145\t header re-parentait le position:fixed → voile limité au header. */}\n146\t {createPortal(\n147\t
setMenuOpen(false)} aria-hidden=\"true\" />,\n148\t document.body,\n149\t )}\n150\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"db4ebf88-811e-478f-b743-b975fd910bbc","timestamp":"2026-08-22T23:30:51.355Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/act…","usage":{"total_tokens":27615,"tool_uses":15,"duration_ms":13050},"last_tool_name":"Bash","uuid":"64024545-b67f-4e57-a023-4c34b1df0a15","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7SFqsrVpTnYp7TpB7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Kp9re5965LMy8fTnP1eKkn","name":"Bash","input":{"command":"ls -la 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requirements.txt\ndrwxr-xr-x@ 6 simon-pierreboucher staff 192 Aug 22 19:18 src","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"154eb536-81cf-48d7-bfa5-890bec88bd2b","timestamp":"2026-08-22T23:30:51.687Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/act…","usage":{"total_tokens":27633,"tool_uses":16,"duration_ms":13183},"last_tool_name":"Bash","uuid":"c8e35424-9c15-475e-bbed-f4d29ac61695","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7SFqsrVpTnYp7TpB7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cep5tQkbgZGhNbLB3dsvQa","name":"Bash","input":{"command":"ls -la 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staff 96 Aug 22 18:14 __pycache__\n-rw-r--r--@ 1 simon-pierreboucher staff 11353 Aug 22 19:18 main.py\n-rw-r--r--@ 1 simon-pierreboucher staff 2623 Aug 22 18:13 net.py","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"df46d42c-d208-4811-bde6-b2d35c1df5e8","timestamp":"2026-08-22T23:30:53.493Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01E8gJTZXuw76XN5DXb4Ze9C","type":"tool_result","content":"{\n \"actorSpecification\": 1,\n \"name\": \"ka-apartments-com\",\n \"title\": \"KA Apartments.com — locations QC\",\n \"description\": \"Logements à louer sur Apartments.com, province de Québec (recherche /qc/ paginée + fiches détail en français : GPS, description, plans d'unités, commodités, galerie). Déblocage anti-bot via Bright Data Web Unlocker (jeton requis).\",\n \"version\": \"0.1\",\n \"buildTag\": \"latest\",\n \"input\": \"./input_schema.json\",\n \"dockerfile\": \"./Dockerfile\"\n}","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"84e8173a-24a5-4fa0-b715-cff9bc38ee3c","timestamp":"2026-08-22T23:30:53.492Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running head -50 /Users/simon-pierreboucher/apps/lou-ka/a…","usage":{"total_tokens":30558,"tool_uses":19,"duration_ms":15137},"last_tool_name":"Bash","uuid":"b01a69f7-d13c-4425-a264-4b577e96075a","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7ZtEQTMqVAaDuacRH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MtTVvNGcdkBEPtwYVffm3V","name":"Bash","input":{"command":"head -50 /Users/simon-pierreboucher/apps/lou-ka/actors/ka-apartments-com/src/main.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2850,"cache_read_input_tokens":27402,"cache_creation":{"ephemeral_5m_input_tokens":2850,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"99b9e873-2133-48f3-b177-78f3c0839f88"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MtTVvNGcdkBEPtwYVffm3V","type":"tool_result","content":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: src/main.py (ka-apartments-com)\n# Desc: Apartments.com — logements à louer, province de Québec.\n# Phase 1 : pagination des pages de recherche (/qc/ = toute la\n# province, HTML server-rendered ; arrêt quand le ne porte\n# plus « - Page N », le site retombant silencieusement sur la page 1).\n# Phase 2 : fiches détail en français (/fr/<slug>/<id>/) : GPS,\n# description, plans d'unités (pricingGridItem), commodités, galerie.\n# Items poussés : kind=\"listing\" (placard) et kind=\"detail\".\n# ==============================================================================\nfrom __future__ import annotations\n\nimport asyncio\nimport html as htmllib\nimport re\n\nfrom apify import Actor\n\nfrom .net import BrightData\n\n# --- recherche (placards) -----------------------------------------------------\n\n_ARTICLE_RX = re.compile(\n r\"<article\\b(?P<attrs>[^>]*\\bdata-listingid=\\\"[^\\\"]+\\\"[^>]*)>\"\n r\"(?P<body>.*?)</article>\", re.S)\n_ATTR_RX = re.compile(r\"data-(listingid|url|streetaddress)=\\\"([^\\\"]*)\\\"\")\n_TITLE_TAG_RX = re.compile(r\"<title>([^<]*)\")\n_PLACARD_TITLE_RX = re.compile(r\"js-placardTitle[^\\\"]*\\\"[^>]*>([^<]+)<\")\n_ADDRESS_RX = re.compile(r\"property-address[^\\\"]*\\\"[^>]*>([^<]+)<\")\n_BED_RENT_RX = re.compile(\n r\"bedTextBox\\\">([^<]*)<.{0,400}?priceTextBox\\\">\\s*]*>([^<]*)<\",\n re.S)\n_IMG_COUNT_RX = re.compile(r\"js-spnImgCount\\\">(\\d+)\")\n_PHONE_RX = re.compile(r\"phone-data=\\\"(\\d{7,15})\\\"\")\n_AMENITIES_BLOCK_RX = re.compile(\n r\"property-amenities\\\"[^>]*>(.*?)

\", re.S)\n_SPAN_RX = re.compile(r\"]*>([^<]+)\")\n_IMG_RX = re.compile(r\"https://images1\\.apartments\\.com/i2/[^\\\"'\\s?]+\")\n_QC_SLUG_RX = re.compile(r\"apartments\\.com/[^\\\"]*-qc[-/]\")\n\n\ndef _clean(text: str) -> str:\n return re.sub(r\"\\s+\", \" \", htmllib.unescape(text or \"\")).strip()\n\n\ndef parse_search(page_html: str) -> list[dict]:\n \"\"\"Placards d'une page de recherche → dicts (propriétés QC seulement).\"\"\"\n out: list[dict] = []\n for m in _ARTICLE_RX.finditer(page_html):","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"babb8f57-b2b1-468e-8409-c5c395228c36","timestamp":"2026-08-22T23:30:53.784Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading frontend/src/pages/Home.tsx","usage":{"total_tokens":32066,"tool_uses":20,"duration_ms":16938},"last_tool_name":"Read","uuid":"4a11bfe0-027f-43b0-9278-10c0314e153a","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7iF2GmXoD1cR4FHzL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QaAWkxzGDzaPpk9iCnajib","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Home.tsx","limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1490,"cache_read_input_tokens":30252,"cache_creation":{"ephemeral_5m_input_tokens":1490,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"73d53c7a-26a3-4f18-9407-3b78858fc3ac"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QaAWkxzGDzaPpk9iCnajib","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// pages/Home.tsx : accueil — héro, statistiques, filtres avancés, grille\n5\t// Filtres : ville, quartier, taille, loyer min/max, dispo, animaux, meublé,\n6\t// superficie, gestionnaire, recherche — avec pastilles de filtres actifs.\n7\t// -----------------------------------------------------------------------------\n8\timport { Suspense, lazy, useEffect, useMemo, useRef, useState } from \"react\";\n9\timport { useSearchParams } from \"react-router-dom\";\n10\timport {\n11\t Facets, Listing, ListingFilters, Stats,\n12\t fetchFacets, fetchListings, fetchSources, fetchStats, isoInDays,\n13\t registerSourceNames, sourceName,\n14\t} from \"../api\";\n15\timport ListingCard from \"../components/ListingCard\";\n16\timport Pager from \"../components/Pager\";\n17\timport {\n18\t IcoAlert, IcoBolt, IcoHeart, IcoHouse, IcoList, IcoMap, IcoPaw, IcoPin,\n19\t IcoSearch, IcoSliders, IcoSofa,\n20\t} from \"../components/Icons\";\n21\t\n22\t// La recherche liste+carte synchronisée (Mapbox, ~220 ko) n'est chargée\n23\t// que si l'utilisateur ouvre la vue Carte — voir search/MapSearch.tsx\n24\tconst MapSearch = lazy(() => import(\"../search/MapSearch\"));\n25\t\n26\tconst PAGE_SIZE = 12; // annonces par page (grille « liste »)\n27\t\n28\t/** Valeur retardée : évite une requête API à chaque frappe dans la recherche. */\n29\tfunction useDebounced(value: T, delayMs = 300): T {\n30\t const [debounced, setDebounced] = useState(value);\n31\t useEffect(() => {\n32\t const t = setTimeout(() => setDebounced(value), delayMs);\n33\t return () => clearTimeout(t);\n34\t }, [value, delayMs]);\n35\t return debounced;\n36\t}\n37\tconst UNIT_TYPES = [\"1½\", \"2½\", \"3½\", \"4½\", \"5½\", \"Loft\", \"Studio\"];\n38\tconst PRICE_STEPS = [600, 800, 1000, 1200, 1400, 1600, 1800, 2000, 2500, 3000];\n39\tconst AREA_STEPS = [400, 600, 800, 1000, 1200];\n40\t\n41\t/** Choix « Disponibilité » → paramètre API available_by (date ISO) */\n42\tconst DISPO_CHOICES: { key: string; label: string; days: number | null }[] = [\n43\t { key: \"\", label: \"Peu importe\", days: null },\n44\t { key: \"now\", label: \"Maintenant\", days: 0 },\n45\t { key: \"30\", label: \"D'ici 1 mois\", days: 30 },\n46\t { key: \"60\", label: \"D'ici 2 mois\", days: 60 },\n47\t { key: \"90\", label: \"D'ici 3 mois\", days: 90 },\n48\t];\n49\t\n50\texport default function Home() {\n51\t const [listings, setListings] = useState(null);\n52\t const [total, setTotal] = useState(0);\n53\t const [facets, setFacets] = useState(null);\n54\t const [sectors, setSectors] = useState([]);\n55\t const [stats, setStats] = useState(null);\n56\t const [error, setError] = useState(null);\n57\t\n58\t // filtres (pré-remplis depuis l'URL, ex. /?city=Montréal — liens de la page Stats)\n59\t const [params] = useSearchParams();\n60\t const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n61\t const [city, setCity] = useState(params.get(\"city\") ?? \"\");\n62\t const [sector, setSector] = useState(params.get(\"sector\") ?? \"\");\n63\t const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n64\t const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n65\t const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n66\t const [unitType, setUnitType] = useState(params.get(\"unit_type\") ?? \"\");\n67\t const [dispo, setDispo] = useState(params.get(\"dispo\") ?? \"\");\n68\t const [pets, setPets] = useState(params.get(\"pets\") ?? \"\");\n69\t const [furnished, setFurnished] = useState(params.get(\"furnished\") ?? \"\");\n70\t const [areaMin, setAreaMin] = useState(params.get(\"area_min\") ?? \"\");\n71\t const [deal, setDeal] = useState(params.get(\"deal\") ?? \"\"); // juste valeur\n72\t const [kaMin, setKaMin] = useState(params.get(\"kascore_min\") ?? \"\"); // KA Score\n73\t // feuille de filtres mobile (bottom sheet) + panneau avancé desktop\n74\t const [sheetOpen, setSheetOpen] = useState(false);\n75\t const [advOpen, setAdvOpen] = useState(false);\n76\t // feuille ouverte : gel du scroll d'arrière-plan + fermeture à Escape\n77\t // (même pattern que le menu hamburger d'App.tsx)\n78\t useEffect(() => {\n79\t document.body.style.overflow = sheetOpen ? \"hidden\" : \"\";\n80\t if (!sheetOpen) return () => { document.body.style.overflow = \"\"; };\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"150c35f1-a070-4384-8690-fcd52f7eac9b","timestamp":"2026-08-22T23:30:55.551Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running grep -r \"nav\\|header\\|nav\" /Users/simon-pierrebou…","usage":{"total_tokens":32084,"tool_uses":21,"duration_ms":17271},"last_tool_name":"Bash","uuid":"6ff33b5d-78ca-4099-9f2b-a4dbc7d7a85e","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7iF2GmXoD1cR4FHzL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014PyFKqGiUGG4Yfaf4qZnhf","name":"Bash","input":{"command":"grep -r \"nav\\|header\\|nav\" /Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1490,"cache_read_input_tokens":30252,"cache_creation":{"ephemeral_5m_input_tokens":1490,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"76ee950e-e722-4d5e-a224-82b6f0860bcc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014PyFKqGiUGG4Yfaf4qZnhf","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx:// App.tsx : layout global (header + ticker en direct + footer encre) et routage\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx: header re-parentait le position:fixed → voile limité au header. */}\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx: // fermer le menu à chaque navigation + verrouiller le défilement en dessous\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx:
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\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx:/** Pied de page : rangée de navigation locale + footer commun Groupe KA. */\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx:/** Barre de navigation inférieure (mobile) — icône active en orange. */\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/App.tsx: ","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"395e917d-ebe3-4d36-95cd-6b2caece6ed1","timestamp":"2026-08-22T23:30:55.907Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading package.json","usage":{"total_tokens":32102,"tool_uses":22,"duration_ms":17320},"last_tool_name":"Read","uuid":"9dc8a721-a3a0-4b8f-9ae8-f85a8515f777","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7iF2GmXoD1cR4FHzL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P6U8YDZK9feosQ793P8jKM","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/package.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1490,"cache_read_input_tokens":30252,"cache_creation":{"ephemeral_5m_input_tokens":1490,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"12952ea7-f8c7-44bf-8726-086dc463fb72"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P6U8YDZK9feosQ793P8jKM","type":"tool_result","content":"1\t{\n2\t \"name\": \"lou-ka\",\n3\t \"version\": \"1.0.0\",\n4\t \"description\": \"**[www.lou-ka.com](https://www.lou-ka.com)** — un service **[Groupe Ka](https://www.groupe-ka.com)**\",\n5\t \"main\": \"index.js\",\n6\t \"directories\": {\n7\t \"doc\": \"docs\",\n8\t \"test\": \"tests\"\n9\t },\n10\t \"scripts\": {\n11\t \"test\": \"echo \\\"Error: no test specified\\\" && exit 1\"\n12\t },\n13\t \"repository\": {\n14\t \"type\": \"git\",\n15\t \"url\": \"gitsrv:srv/git/lou-ka.git\"\n16\t },\n17\t \"keywords\": [],\n18\t \"author\": \"\",\n19\t \"license\": \"ISC\",\n20\t \"type\": \"commonjs\",\n21\t \"devDependencies\": {\n22\t \"playwright\": \"^1.62.1\"\n23\t }\n24\t}\n25\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"d51cc9bc-650e-42ef-8659-0d5c2565153d","timestamp":"2026-08-22T23:30:55.931Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/lou…","usage":{"total_tokens":35089,"tool_uses":23,"duration_ms":18444},"last_tool_name":"Bash","uuid":"92554302-22b1-49bf-949f-2dac56f40890","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7sSfJswYsB1YkqaKL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KTL94LY9bE1S6Txczr8LPh","name":"Bash","input":{"command":"ls -la /Users/simon-pierreboucher/apps/lou-ka/louka/connectors | grep -E \"(fb_marketplace|kijiji)\" | head -5"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2961,"cache_read_input_tokens":31742,"cache_creation":{"ephemeral_5m_input_tokens":2961,"ephemeral_1h_input_tokens":0},"output_tokens":26,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c9bb27e4-32bb-468f-879b-3994c534c0f6"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KTL94LY9bE1S6Txczr8LPh","type":"tool_result","content":"-rw-r--r--@ 1 simon-pierreboucher staff 20319 Aug 22 17:52 fb_marketplace.py\n-rw-r--r-- 1 simon-pierreboucher staff 13606 Aug 18 17:24 kijiji.py","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"2d91a1f6-7a8a-4a44-a472-5abf560528f0","timestamp":"2026-08-22T23:30:57.093Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/connectors/apartments_com.py","usage":{"total_tokens":35292,"tool_uses":24,"duration_ms":19970},"last_tool_name":"Read","uuid":"5517129c-2b22-418d-aeaf-442783d7f465","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7xgRzX8kkwzwDbXBk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MDo6KLbvC4gvcPxLBd6WUU","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py","limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":179,"cache_read_input_tokens":34703,"cache_creation":{"ephemeral_5m_input_tokens":179,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c75f5758-5fdd-47be-8598-685237be35a2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MDo6KLbvC4gvcPxLBd6WUU","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/apartments_com.py : Apartments.com (CoStar) — réseau US avec un\n5\t# vrai parc québécois (~500 propriétés / 8 400 unités via /qc/, surtout de\n6\t# grands gestionnaires). Le site est verrouillé par Akamai (403 en direct,\n7\t# via Scrapfly ET via Oxylabs — sondé 2026-08-18/22) : le scraping est\n8\t# délégué à l'ACTEUR APIFY MAISON gorgeous_thistle/ka-apartments-com\n9\t# (source : actors/ka-apartments-com de ce repo) qui passe par le Web\n10\t# Unlocker Bright Data — HTML server-rendered, pas de rendu JS.\n11\t# UNE annonce = UNE PROPRIÉTÉ (immeuble) : prix « à partir de » (minimum\n12\t# des plans d'unités), tous les plans dans details[\"plans\"]. Les fiches\n13\t# détail sont lues en FRANÇAIS (/fr/) : description, GPS, commodités,\n14\t# galerie. Cache détail 30 j + CADENCE : l'inventaire CoStar bouge\n15\t# lentement, l'acteur ne tourne qu'aux LOUKA_APTS_INTERVAL_H heures ;\n16\t# entre deux runs on ré-émet les annonces actives depuis la BD (coût 0).\n17\t# -----------------------------------------------------------------------------\n18\tfrom __future__ import annotations\n19\t\n20\timport json\n21\timport os\n22\timport re\n23\timport time\n24\t\n25\timport requests as _requests\n26\t\n27\tfrom ..schema import Listing\n28\tfrom .base import BaseConnector\n29\tfrom . import _detailutil as du\n30\t\n31\tAPIFY_API = \"https://api.apify.com/v2\"\n32\tACTOR = os.environ.get(\"LOUKA_APTS_ACTOR\", \"gorgeous_thistle~ka-apartments-com\")\n33\t\n34\tSEARCH_URLS = [\"https://www.apartments.com/qc/\"] # toute la province\n35\tMAX_PAGES = int(os.environ.get(\"LOUKA_APTS_MAX_PAGES\", \"25\"))\n36\tDETAIL_LIMIT = int(os.environ.get(\"LOUKA_APTS_DETAIL_LIMIT\", \"250\"))\n37\tTTL_DAYS = float(os.environ.get(\"LOUKA_APTS_TTL_DAYS\", \"30\"))\n38\tINTERVAL_H = float(os.environ.get(\"LOUKA_APTS_INTERVAL_H\", \"12\"))\n39\tCONCURRENCY = int(os.environ.get(\"LOUKA_APTS_CONCURRENCY\", \"4\"))\n40\tRUN_TIMEOUT = int(os.environ.get(\"LOUKA_APTS_RUN_TIMEOUT\", \"3600\")) # s\n41\t\n42\tDETAIL_KEY = \"v1\"\n43\tPRICE_MIN, PRICE_MAX = 300, 12000 # garde-fous de loyer mensuel\n44\t\n45\t_MONEY_RX = re.compile(r\"\\$\\s*([\\d\\s,  ]+)\")\n46\t_BEDS_LABEL_RX = re.compile(r\"(\\d+)\\s*(?:bed|lit|c\\.?\\s*à\\.?\\s*c)\", re.I)\n47\t_SQFT_RX = re.compile(r\"([\\d\\s,  ]+)\\s*(?:pi²|sq\\s*ft)\", re.I)\n48\t\n49\t\n50\tdef _money(text: str | None) -> float | None:\n51\t m = _MONEY_RX.search(text or \"\")\n52\t if not m:\n53\t return None\n54\t try:\n55\t return float(re.sub(r\"[^\\d]\", \"\", m.group(1)))\n56\t except ValueError:\n57\t return None\n58\t\n59\t\n60\tdef _beds_count(label: str) -> float | None:\n61\t low = (label or \"\").casefold()\n62\t if \"studio\" in low or \"bachelor\" in low:\n63\t return 0.0\n64\t m = _BEDS_LABEL_RX.search(low)\n65\t return float(m.group(1)) if m else None\n66\t\n67\t\n68\tdef _unit_type(beds: float | None) -> str:\n69\t if beds is None:\n70\t return \"\"\n71\t if beds <= 0:\n72\t return \"Studio\"\n73\t return \"6½+\" if beds >= 4 else f\"{int(beds) + 2}½\"\n74\t\n75\t\n76\tdef _fmt_price(price: float) -> str:\n77\t return f\"{price:,.0f} $/mois\".replace(\",\", \" \")\n78\t\n79\t\n80\tdef _split_address(addr: str) -> tuple[str, str]:\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c7e38252-29ae-4335-bd4c-d75c4f55b7f3","timestamp":"2026-08-22T23:30:58.582Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running grep -n \"class.*Connector\\|def fetch\" /Users/simo…","usage":{"total_tokens":35317,"tool_uses":25,"duration_ms":20323},"last_tool_name":"Bash","uuid":"aed08b11-e889-4c87-8453-76631bbae581","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7xgRzX8kkwzwDbXBk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011WJkuLBq4qr5QQssGAFES6","name":"Bash","input":{"command":"grep -n \"class.*Connector\\|def fetch\" /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/fb_marketplace.py | head -10"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":179,"cache_read_input_tokens":34703,"cache_creation":{"ephemeral_5m_input_tokens":179,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"797702b0-156b-49dd-97d7-b65a69c97540"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011WJkuLBq4qr5QQssGAFES6","type":"tool_result","content":"175:class FacebookMarketplaceConnector(BaseConnector):\n335: def fetch(self) -> list[Listing]:","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"6028c388-16c4-4cd3-8aba-827d8e9b3997","timestamp":"2026-08-22T23:30:58.959Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running grep -n \"apify\\|call\\|Apify\" /Users/simon-pierreb…","usage":{"total_tokens":35342,"tool_uses":26,"duration_ms":20468},"last_tool_name":"Bash","uuid":"4a9fd177-9445-408f-9bd9-bfe168f571f1","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf7xgRzX8kkwzwDbXBk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LcEtoDe12aBGvKpJoKxQGw","name":"Bash","input":{"command":"grep -n \"apify\\|call\\|Apify\" /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":6,"cache_creation_input_tokens":179,"cache_read_input_tokens":34703,"cache_creation":{"ephemeral_5m_input_tokens":179,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"b5bcff19-31f5-4292-8ce0-bed49b1c18c3"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LcEtoDe12aBGvKpJoKxQGw","type":"tool_result","content":"31:APIFY_API = \"https://api.apify.com/v2\"\n92: # -- orchestration de l'acteur Apify --------------------------------------","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"cadfd468-50a0-4186-80c0-018d644373c6","timestamp":"2026-08-22T23:30:59.111Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf87KLrLLKsiz2w4BNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VE6HkjCzHApVtDiuCghTWp","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py","offset":80,"limit":120},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1813,"cache_read_input_tokens":34882,"cache_creation":{"ephemeral_5m_input_tokens":1813,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"9865e6a8-a152-4926-9638-b92cf95b48aa"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/connectors/apartments_com.py","usage":{"total_tokens":37174,"tool_uses":27,"duration_ms":22189},"last_tool_name":"Read","uuid":"98c5e3fd-3754-44aa-9aa9-b690da07c701","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VE6HkjCzHApVtDiuCghTWp","type":"tool_result","content":"80\tdef _split_address(addr: str) -> tuple[str, str]:\n81\t \"\"\"« 1411 St Du Fort, Montréal, QC H3H 2N7 » -> (rue, ville).\"\"\"\n82\t parts = [p.strip() for p in (addr or \"\").split(\",\") if p.strip()]\n83\t if len(parts) >= 3:\n84\t return \", \".join(parts[:-2]), parts[-2]\n85\t return addr or \"\", \"\"\n86\t\n87\t\n88\tclass ApartmentsComConnector(BaseConnector):\n89\t source_id = \"apartments_com\"\n90\t request_delay = 1.0\n91\t\n92\t # -- orchestration de l'acteur Apify --------------------------------------\n93\t def _run_actor(self, payload: dict, token: str) -> list[dict]:\n94\t \"\"\"Lance l'acteur, attend la fin, retourne les items du dataset.\"\"\"\n95\t r = _requests.post(\n96\t f\"{APIFY_API}/acts/{ACTOR}/runs?waitForFinish=120\",\n97\t json=payload, timeout=180,\n98\t headers={\"Authorization\": f\"Bearer {token}\"})\n99\t r.raise_for_status()\n100\t run = r.json()[\"data\"]\n101\t deadline = time.time() + RUN_TIMEOUT\n102\t while run[\"status\"] in (\"READY\", \"RUNNING\") and time.time() < deadline:\n103\t time.sleep(10)\n104\t run = _requests.get(\n105\t f\"{APIFY_API}/actor-runs/{run['id']}\", timeout=60,\n106\t headers={\"Authorization\": f\"Bearer {token}\"}).json()[\"data\"]\n107\t if run[\"status\"] != \"SUCCEEDED\":\n108\t raise RuntimeError(f\"acteur {ACTOR} : run {run['id']} \"\n109\t f\"terminé en {run['status']}\")\n110\t items: list[dict] = []\n111\t offset = 0\n112\t while True:\n113\t batch = _requests.get(\n114\t f\"{APIFY_API}/datasets/{run['defaultDatasetId']}/items\"\n115\t f\"?limit=1000&offset={offset}\", timeout=120,\n116\t headers={\"Authorization\": f\"Bearer {token}\"}).json()\n117\t items.extend(batch)\n118\t if len(batch) < 1000:\n119\t return items\n120\t offset += 1000\n121\t\n122\t # -- cadence / ré-émission -------------------------------------------------\n123\t def _last_ok_sync(self, cache: du.TtlDetailCache) -> float:\n124\t row = cache.con.execute(\n125\t \"SELECT MAX(ts) AS t FROM sync_log WHERE source=? AND ok=1\"\n126\t \" AND found > 0\", (self.source_id,)).fetchone()\n127\t return row[\"t\"] or 0.0\n128\t\n129\t def _active_rows(self, cache: du.TtlDetailCache) -> list:\n130\t return cache.con.execute(\n131\t \"SELECT external_id, url, title, address, sector, city, unit_type,\"\n132\t \" bedrooms, bathrooms, price, price_label, availability,\"\n133\t \" availability_date, area_sqft, pets, furnished, description,\"\n134\t \" amenities, details, images, lat, lng\"\n135\t \" FROM listings WHERE source=? AND active=1\", (self.source_id,)\n136\t ).fetchall()\n137\t\n138\t def _listing_from_row(self, r) -> Listing:\n139\t def js(s, default):\n140\t try:\n141\t return json.loads(s) if s else default\n142\t except ValueError:\n143\t return default\n144\t return Listing(\n145\t source=self.source_id, external_id=r[\"external_id\"],\n146\t url=r[\"url\"], title=r[\"title\"] or \"\", address=r[\"address\"] or \"\",\n147\t sector=r[\"sector\"] or \"\", city=r[\"city\"] or \"\",\n148\t unit_type=r[\"unit_type\"] or \"\", bedrooms=r[\"bedrooms\"],\n149\t bathrooms=r[\"bathrooms\"], price=r[\"price\"],\n150\t price_label=r[\"price_label\"] or \"\",\n151\t availability=r[\"availability\"] or \"\",\n152\t availability_date=r[\"availability_date\"],\n153\t area_sqft=r[\"area_sqft\"], pets=r[\"pets\"],\n154\t furnished=(None if r[\"furnished\"] is None else bool(r[\"furnished\"])),\n155\t description=r[\"description\"] or \"\",\n156\t amenities=js(r[\"amenities\"], []), details=js(r[\"details\"], {}),\n157\t images=js(r[\"images\"], []), lat=r[\"lat\"], lng=r[\"lng\"],\n158\t )\n159\t\n160\t # -- payload détail -> champs Listing ---------------------------------------\n161\t @staticmethod\n162\t def _std_detail(d: dict) -> dict:\n163\t std = {k: d[k] for k in (\"description\", \"images\", \"lat\", \"lng\",\n164\t \"amenities\") if d.get(k)}\n165\t if d.get(\"street\"):\n166\t std[\"address\"] = d[\"street\"]\n167\t if d.get(\"city\"):\n168\t std[\"city\"] = d[\"city\"]\n169\t plans, seen = [], set()\n170\t for pl in d.get(\"plans\") or []: # grille dupliquée desktop/mobile\n171\t sig = (pl.get(\"key\"), pl.get(\"name\"), pl.get(\"rent\"))\n172\t if sig not in seen:\n173\t seen.add(sig)\n174\t plans.append(pl)\n175\t rents = [p for p in (_money(pl.get(\"rent\")) for pl in plans)\n176\t if p is not None and PRICE_MIN <= p <= PRICE_MAX]\n177\t if rents:\n178\t std[\"price\"] = min(rents)\n179\t std[\"price_label\"] = (f\"à partir de {_fmt_price(min(rents))}\"\n180\t if len(plans) > 1 else _fmt_price(min(rents)))\n181\t # immeuble multi-plans : minimum, cohérent avec le prix « à partir\n182\t # de » — et ça évite que finalize() devine n'importe quoi dans la\n183\t # description marketing (« appartements de 1 à 4 chambres »)\n184\t beds = {pl.get(\"beds\") for pl in plans if pl.get(\"beds\") is not None}\n185\t baths = {pl.get(\"baths\") for pl in plans if pl.get(\"baths\") is not None}\n186\t if beds:\n187\t std[\"bedrooms\"] = min(beds)\n188\t if len(beds) == 1:\n189\t std[\"unit_type\"] = _unit_type(std[\"bedrooms\"])\n190\t if baths:\n191\t std[\"bathrooms\"] = min(baths)\n192\t if len(plans) == 1:\n193\t m = _SQFT_RX.search(\" \".join(plans[0].get(\"details\") or []))\n194\t if m:\n195\t try:\n196\t std[\"area_sqft\"] = float(re.sub(r\"[^\\d]\", \"\", m.group(1)))\n197\t except ValueError:\n198\t pass\n199\t avails = [pl.get(\"availability\") or \"\" for pl in plans]\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"d948a1f8-635f-4d13-91c2-4668fb900324","timestamp":"2026-08-22T23:31:00.801Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/connectors/fb_marketplace.py","usage":{"total_tokens":37192,"tool_uses":28,"duration_ms":22519},"last_tool_name":"Read","uuid":"9fd602cc-9968-4ff2-8e39-215ee461f016","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf87KLrLLKsiz2w4BNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CvTVoNzyrDdzNgppY9z3f8","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/fb_marketplace.py","offset":170,"limit":50},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1813,"cache_read_input_tokens":34882,"cache_creation":{"ephemeral_5m_input_tokens":1813,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"50dfe403-48f6-41bb-81af-225b5e8993ab"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CvTVoNzyrDdzNgppY9z3f8","type":"tool_result","content":"170\t if extras:\n171\t std[\"details\"] = extras\n172\t return std\n173\t\n174\t\n175\tclass FacebookMarketplaceConnector(BaseConnector):\n176\t source_id = \"fb_marketplace\"\n177\t request_delay = 1.0\n178\t\n179\t # -- orchestration de l'acteur Apify --------------------------------------\n180\t def _search_urls(self) -> tuple[list[str], dict[str, str]]:\n181\t \"\"\"URLs de recherche (ville × tranche) + mapping URL -> nom de ville.\"\"\"\n182\t cities, regions = dict(CITIES), dict(REGIONS)\n183\t if CITY_LIMIT:\n184\t wanted = {c.strip().casefold() for c in CITY_LIMIT.split(\",\")}\n185\t cities = {k: v for k, v in cities.items()\n186\t if k in wanted or v.casefold() in wanted}\n187\t regions = {k: v for k, v in regions.items()\n188\t if v.casefold() in wanted}\n189\t urls: list[str] = []\n190\t by_url: dict[str, str] = {}\n191\t for slug, city in cities.items():\n192\t for lo, hi in PRICE_BANDS:\n193\t u = (f\"{BASE}/{slug}/propertyrentals\"\n194\t f\"?minPrice={lo}&maxPrice={hi}&sortBy=creation_time_descend\")\n195\t urls.append(u)\n196\t by_url[u] = city\n197\t for cid, city in regions.items():\n198\t for lo, hi in REGIONAL_BANDS:\n199\t u = (f\"{BASE}/{cid}/propertyrentals\"\n200\t f\"?minPrice={lo}&maxPrice={hi}&sortBy=creation_time_descend\")\n201\t urls.append(u)\n202\t by_url[u] = city\n203\t return urls, by_url\n204\t\n205\t def _run_actor(self, payload: dict, token: str) -> list[dict]:\n206\t \"\"\"Lance l'acteur, attend la fin, retourne les items du dataset.\"\"\"\n207\t r = _requests.post(\n208\t f\"{APIFY_API}/acts/{ACTOR}/runs?waitForFinish=120\",\n209\t json=payload, timeout=180,\n210\t headers={\"Authorization\": f\"Bearer {token}\"})\n211\t r.raise_for_status()\n212\t run = r.json()[\"data\"]\n213\t deadline = time.time() + RUN_TIMEOUT\n214\t while run[\"status\"] in (\"READY\", \"RUNNING\") and time.time() < deadline:\n215\t time.sleep(10)\n216\t run = _requests.get(\n217\t f\"{APIFY_API}/actor-runs/{run['id']}\", timeout=60,\n218\t headers={\"Authorization\": f\"Bearer {token}\"}).json()[\"data\"]\n219\t if run[\"status\"] != \"SUCCEEDED\":\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"70d2711d-8a96-4d85-9223-96b4af436a92","timestamp":"2026-08-22T23:31:01.130Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running grep -n \"def fetch\" /Users/simon-pierreboucher/ap…","usage":{"total_tokens":37210,"tool_uses":29,"duration_ms":22643},"last_tool_name":"Bash","uuid":"b2e3f035-022c-4987-92f0-5e9943ae3b04","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf87KLrLLKsiz2w4BNo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AUBHZcnPLzVU3CYB7Ds5gW","name":"Bash","input":{"command":"grep -n \"def fetch\" /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1813,"cache_read_input_tokens":34882,"cache_creation":{"ephemeral_5m_input_tokens":1813,"ephemeral_1h_input_tokens":0},"output_tokens":18,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"22b2d771-ebfc-4343-b6e4-e9676e12f762"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AUBHZcnPLzVU3CYB7Ds5gW","type":"tool_result","content":"213: def fetch(self) -> list[Listing]:","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"5d9aef65-1c58-488c-b2db-9470fb6575ce","timestamp":"2026-08-22T23:31:01.281Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/connectors/apartments_com.py","usage":{"total_tokens":40460,"tool_uses":30,"duration_ms":24445},"last_tool_name":"Read","uuid":"3057e0ac-193d-4bc9-862e-23ace44c2ea0","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf8GR352ArXVfApfeoY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ALS5Snhix4sY4TLAP2KsTD","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py","offset":199,"limit":60},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3225,"cache_read_input_tokens":36695,"cache_creation":{"ephemeral_5m_input_tokens":3225,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"0e459696-d1ab-46cb-9764-847830525057"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ALS5Snhix4sY4TLAP2KsTD","type":"tool_result","content":"199\t avails = [pl.get(\"availability\") or \"\" for pl in plans]\n200\t now = next((a for a in avails\n201\t if \"maintenant\" in a.casefold() or \"now\" in a.casefold()),\n202\t \"\")\n203\t if now or any(avails):\n204\t std[\"availability\"] = now or next(a for a in avails if a)\n205\t if plans:\n206\t std[\"details\"] = {\"plans\": [\n207\t {k: pl[k] for k in (\"name\", \"rent\", \"beds\", \"baths\",\n208\t \"details\", \"availability\") if k in pl}\n209\t for pl in plans]}\n210\t return std\n211\t\n212\t # -- pipeline principal ------------------------------------------------------\n213\t def fetch(self) -> list[Listing]:\n214\t token = os.environ.get(\"APIFY_TOKEN\")\n215\t bd_token = os.environ.get(\"BRIGHTDATA_API_KEY\")\n216\t if not token:\n217\t raise RuntimeError(\"APIFY_TOKEN manquant (voir .env)\")\n218\t if not bd_token:\n219\t raise RuntimeError(\"BRIGHTDATA_API_KEY manquant (voir .env)\")\n220\t\n221\t cache = du.TtlDetailCache(self, budget=0, ttl_days=TTL_DAYS,\n222\t key=DETAIL_KEY, fetch_html=lambda _u: \"\")\n223\t try:\n224\t # inventaire lent + acteur payant : entre deux vrais runs on\n225\t # ré-émet les actives telles quelles (aucune requête réseau)\n226\t age_h = (time.time() - self._last_ok_sync(cache)) / 3600\n227\t actives = self._active_rows(cache)\n228\t if actives and age_h < INTERVAL_H:\n229\t return [self._listing_from_row(r) for r in actives]\n230\t\n231\t fresh = {r[\"external_id\"] for r in cache.con.execute(\n232\t \"SELECT external_id FROM detail_cache\"\n233\t \" WHERE source=? AND key=? AND fetched_at > ?\",\n234\t (self.source_id, DETAIL_KEY,\n235\t time.time() - TTL_DAYS * 86400)).fetchall()}\n236\t # rattrapage : actives jamais enrichies (sans GPS ou description)\n237\t extra = [f'{r[\"external_id\"]}|{r[\"url\"]}' for r in actives\n238\t if r[\"external_id\"] not in fresh\n239\t and (r[\"lat\"] is None or not (r[\"description\"] or \"\").strip())]\n240\t\n241\t items = self._run_actor({\n242\t \"searchUrls\": SEARCH_URLS,\n243\t \"maxPages\": MAX_PAGES,\n244\t \"getDetails\": True,\n245\t \"maxDetails\": DETAIL_LIMIT,\n246\t \"skipDetailIds\": sorted(fresh),\n247\t \"extraDetailIds\": extra[:DETAIL_LIMIT],\n248\t \"brightdataToken\": bd_token,\n249\t \"brightdataZone\": os.environ.get(\"BRIGHTDATA_ZONE\",\n250\t \"web_unlocker1\"),\n251\t \"concurrency\": CONCURRENCY,\n252\t }, token)\n253\t\n254\t for it in items:\n255\t if it.get(\"kind\") == \"detail\" and it.get(\"id\"):\n256\t payload = {k: v for k, v in it.items()\n257\t if k not in (\"kind\",) and v is not None}\n258\t cache.put(str(it[\"id\"]), payload)\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"fdc1879b-a099-4d82-8b49-6d1084538db6","timestamp":"2026-08-22T23:31:03.057Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running wc -l /Users/simon-pierreboucher/apps/lou-ka/louk…","usage":{"total_tokens":40485,"tool_uses":31,"duration_ms":24940},"last_tool_name":"Bash","uuid":"6764b9b0-676f-4403-a03d-d98acd56999c","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf8GR352ArXVfApfeoY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SYzexhaZLFdbffrNBj2kmK","name":"Bash","input":{"command":"wc -l /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/fb_marketplace.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3225,"cache_read_input_tokens":36695,"cache_creation":{"ephemeral_5m_input_tokens":3225,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c4c7404e-cc8e-47f5-b790-cbbfe88acb58"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading .env","usage":{"total_tokens":40510,"tool_uses":32,"duration_ms":24953},"last_tool_name":"Read","uuid":"ce8e08eb-f88c-43b6-bf52-350bd578c9fc","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf8GR352ArXVfApfeoY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BsVKDL4D4CWrfAyA78SCJq","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/.env"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3225,"cache_read_input_tokens":36695,"cache_creation":{"ephemeral_5m_input_tokens":3225,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c5fb6e44-adca-4186-bb9d-1ba7ac3a2f6e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SYzexhaZLFdbffrNBj2kmK","type":"tool_result","content":" 303 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/apartments_com.py\n 430 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/fb_marketplace.py\n 733 total","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"0de303cb-3b88-48f1-95bf-b20c4158d765","timestamp":"2026-08-22T23:31:03.579Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BsVKDL4D4CWrfAyA78SCJq","type":"tool_result","content":"1\t# Lou-Ka — variables d'environnement (NE PAS COMMITTER)\n2\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n3\tFIRECRAWL_API_KEY=fc-8cc44cb683044aee82e8cbad6505a01a\n4\tSCRAPFLY_KEY=scp-live-4678865fffba41809895d31175deccc0\n5\tSESSION_SECRET=2Qqdikx055p3WeWPzqWy-5_JcPZ5DVAMVT3ZUHHuN63OOkY9JAxKzgGvjOtsFg3z\n6\tLOUKA_BASE_URL=https://www.lou-ka.com\n7\tGOOGLE_CLIENT_ID=380896406983-nfgksio5h3galufqetrk60slffte733d.apps.googleusercontent.com\n8\tGOOGLE_CLIENT_SECRET=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\n9\tKA_SSO_SECRET=f17ecfd8bc06fb3297189e607b6e1d29aecf3f35bf513bfbad0620ed3db653c5\n10\tKA_HUB_URL=https://www.groupe-ka.com\n11\t\n12\t# Apify (acteur maison ka-fb-marketplace) + proxy résidentiel Oxylabs\n13\tAPIFY_TOKEN=apify_api_ptXnhbXohJQn4ATXKMkrXZbP68DUtl2vqgDS\n14\tOXYLABS_PROXY_USER=customer-groupeka_l5ESf\n15\tOXYLABS_PROXY_PASS=xj~zO7+3Hdq_l_\n16\t\n17\t# Bright Data Web Unlocker — acteur ka-apartments-com (apartments.com/Akamai)\n18\tBRIGHTDATA_API_KEY=7396361a-3dff-47f6-b49f-bd8546871215\n19\tBRIGHTDATA_ZONE=web_unlocker1\n20\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"9671cfaf-27ba-4d6d-99d4-ae7ececc2dab","timestamp":"2026-08-22T23:31:03.563Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running grep -r \"@app.get\\|@app.post\" /Users/simon-pierre…","usage":{"total_tokens":42708,"tool_uses":33,"duration_ms":26253},"last_tool_name":"Bash","uuid":"635f70ad-b017-4744-bdf4-1c84453df038","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CeJf8SK6dNPi8rCak9mJZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019UMEp3ueLCSqzzSWpEQJoB","name":"Bash","input":{"command":"grep -r \"@app.get\\|@app.post\" /Users/simon-pierreboucher/apps/lou-ka/louka/web.py | head -15"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2173,"cache_read_input_tokens":39920,"cache_creation":{"ephemeral_5m_input_tokens":2173,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"570b4afe-feac-44f6-bfd4-bbd608a5d85c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019UMEp3ueLCSqzzSWpEQJoB","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/listings\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/listings.geojson\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/search\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/img\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/listings/{uid}/pdf\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/stats/rapport.pdf\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/fairvalue/{uid}\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/listings/{uid}\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/kascores/stats\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/facets\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/sources\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/stats\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/stats/detailed\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/stats/dashboard\")\n/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:@app.get(\"/api/stats/report\")","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"066b9fcf-a8de-4350-95c9-3f2a7933cc94","timestamp":"2026-08-22T23:31:04.894Z"}} 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contact@spboucher.ai\nfastapi>=0.110\nuvicorn>=0.29\nrequests>=2.31\nbeautifulsoup4>=4.12\nreportlab>=4.0\npillow>=10.0\nqrcode>=7.4\npython-multipart>=0.0.9\nfpdf2","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"0cd68a27-8c56-4822-8486-35dc2c933112","timestamp":"2026-08-22T23:31:06.433Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Running cat /Users/simon-pierreboucher/apps/lou-ka/fronte…","usage":{"total_tokens":43382,"tool_uses":35,"duration_ms":28138},"last_tool_name":"Bash","uuid":"b122151c-8393-45c2-9144-d5297b3ec202","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W8GRL2GUXNfUHLGcuqdnsB","type":"tool_result","content":"{\n \"name\": \"lou-ka-frontend\",\n \"author\": \"Simon-Pierre Boucher \",\n \"private\": true,\n \"version\": \"1.0.0\",\n \"type\": \"module\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"tsc -b && vite build\",\n \"preview\": \"vite preview\"\n },\n \"dependencies\": {\n \"react\": \"^18.3.1\",\n \"react-dom\": \"^18.3.1\",\n \"react-router-dom\": \"^6.26.0\",\n \"@groupe-ka/ka-maps\": \"file:../../ka-maps\",\n \"mapbox-gl\": \"^3.28.1\"\n },\n \"devDependencies\": {\n \"@types/react\": \"^18.3.3\",\n \"@types/react-dom\": \"^18.3.0\",\n \"@vitejs/plugin-react\": \"^4.3.1\",\n \"typescript\": \"^5.5.4\",\n \"vite\": \"^5.4.0\"\n }\n}","is_error":false}]},"parent_tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"ff4d4e88-9396-430f-8c5c-355bed1332d4","timestamp":"2026-08-22T23:31:06.780Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","description":"Reading louka/schema.py","usage":{"total_tokens":43407,"tool_uses":36,"duration_ms":28296},"last_tool_name":"Read","uuid":"51fe0859-4532-4135-a561-ae3506a4d146","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SWoSy5c2Sbw5xy7Bi9pEYV","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# schema.py : modèle de données standardisé (Listing) + enrichissement central\n5\t# -----------------------------------------------------------------------------\n6\t\"\"\"Schéma standard d'une annonce (Listing) et normalisation des champs.\n7\t\n8\tChaque connecteur, peu importe le site source, doit produire des objets\n9\t`Listing` conformes à ce schéma. La méthode `finalize()` applique ensuite\n10\tla couche de normalisation commune (louka/normalize.py) : dates ISO,\n11\tsuperficie en pi², commodités canoniques, prix… — les connecteurs peuvent\n12\tdonc rester simples et remplir les champs bruts.\n13\t\"\"\"\n14\tfrom __future__ import annotations\n15\t\n16\timport hashlib\n17\timport json\n18\tfrom dataclasses import dataclass, field, asdict\n19\t\n20\tfrom .normalize import ( # ré-exportés pour les connecteurs existants\n21\t bedrooms_from_unit_type,\n22\t clean_address,\n23\t clean_city,\n24\t clean_sector,\n25\t coerce_count,\n26\t extract_details,\n27\t merge_details,\n28\t normalize_unit_type,\n29\t parse_area_sqft,\n30\t parse_availability_date,\n31\t parse_bathrooms,\n32\t parse_bedrooms,\n33\t parse_price,\n34\t price_is_from,\n35\t strip_accents,\n36\t)\n37\t\n38\t__all__ = [\n39\t \"Listing\", \"infer_city\", \"normalize_unit_type\", \"parse_price\",\n40\t \"parse_availability_date\", \"parse_area_sqft\", \"clean_address\",\n41\t \"strip_accents\",\n42\t]\n43\t\n44\t\n45\t@dataclass\n46\tclass Listing:\n47\t \"\"\"Annonce standardisée Lou-Ka.\"\"\"\n48\t\n49\t source: str # id de la source (voir data/sources.json)\n50\t external_id: str # identifiant chez la source\n51\t url: str # page de l'annonce chez la source\n52\t title: str = \"\" # ex. \"555, avenue du Fleuve\"\n53\t address: str = \"\" # adresse civique\n54\t sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n55\t city: str = \"\" # Québec, Lévis, ...\n56\t unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n57\t bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n58\t bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n59\t price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n60\t price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n61\t availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n62\t availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n63\t area_sqft: float | None = None # superficie en pi²\n64\t pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n65\t furnished: bool | None = None # meublé (None = inconnu)\n66\t description: str = \"\"\n67\t digest: dict | None = None # description structurée (louka/textmine.py)\n68\t amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n69\t details: dict = field(default_factory=dict) # champs structurés (JSON)\n70\t images: list[str] = field(default_factory=list) # URLs absolues\n71\t lat: float | None = None\n72\t lng: float | None = None\n73\t\n74\t @property\n75\t def uid(self) -> str:\n76\t return f\"{self.source}:{self.external_id}\"\n77\t\n78\t def content_hash(self) -> str:\n79\t \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n80\t payload = asdict(self)\n81\t blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n82\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n83\t\n84\t def finalize(self) -> \"Listing\":\n85\t \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n86\t\n87\t Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n88\t \"\"\"\n89\t import html as _html\n90\t self.title = _html.unescape(self.title).strip()\n91\t self.address = clean_address(_html.unescape(self.address))\n92\t self.sector = clean_sector(self.sector)\n93\t self.city = clean_city(self.city)\n94\t self.unit_type = normalize_unit_type(self.unit_type)\n95\t\n96\t if self.price is None:\n97\t self.price = parse_price(self.price_label)\n98\t if self.availability_date is None:\n99\t self.availability_date = parse_availability_date(self.availability)\n100\t if self.area_sqft is None:\n101\t for texte in (self.description, \" \".join(self.amenities), self.title):\n102\t self.area_sqft = parse_area_sqft(texte)\n103\t if self.area_sqft is not None:\n104\t break\n105\t\n106\t # coordonnées fournies par la source : rejeter tout point hors de la\n107\t # province (lat/lng inversés, 0/0, coquilles) — le géocodeur prendra\n108\t # le relais sur l'adresse plutôt que d'afficher un point au Kazakhstan\n109\t if self.lat is not None and self.lng is not None:\n110\t if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n111\t self.lat = self.lng = None\n112\t\n113\t derived = extract_details(self.amenities, self.description, self.title)\n114\t if self.price_label and price_is_from(self.price_label):\n115\t derived[\"price_from\"] = True\n116\t self.details = merge_details(self.details, derived)\n117\t\n118\t # chambres / salles de bain : valeur explicite du connecteur d'abord,\n119\t # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n120\t # puis extraction texte — jamais de valeur inventée (None = inconnu)\n121\t if self.bedrooms is None:\n122\t for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n123\t self.bedrooms = coerce_count(self.details.get(k))\n124\t if self.bedrooms is not None:\n125\t break\n126\t if self.bedrooms is None:\n127\t self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n128\t if self.bedrooms is None:\n129\t self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n130\t self.description)\n131\t if self.bathrooms is None:\n132\t for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n133\t \"Salle(s) de bain\"):\n134\t self.bathrooms = coerce_count(self.details.get(k))\n135\t if self.bathrooms is not None:\n136\t break\n137\t if self.bathrooms is None:\n138\t self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n139\t self.description)\n140\t\n141\t # description structurée (nettoyage + extraction + sections)\n142\t if self.digest is None and self.description:\n143\t try:\n144\t from .textmine import analyser\n145\t self.digest = analyser(self.description, price=self.price,\n146\t sector=self.sector, city=self.city)\n147\t except ImportError:\n148\t pass # module absent : la fiche affichera le texte brut\n149\t\n150\t if self.pets is None:\n151\t self.pets = self.details.get(\"pets\")\n152\t else:\n153\t self.details[\"pets\"] = self.pets\n154\t if self.furnished is None:\n155\t furn = self.details.get(\"furnished\")\n156\t self.furnished = furn if isinstance(furn, bool) else None\n157\t else:\n158\t self.details[\"furnished\"] = self.furnished\n159\t return self\n160\t\n161\t\n162\t# ---------------------------------------------------------------------------\n163\t# Secteur -> ville (agglomération Québec / Lévis)\n164\t# ---------------------------------------------------------------------------\n165\t\n166\t_LEVIS_SECTORS = {\n167\t \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n168\t \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n169\t \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n170\t \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n171\t}\n172\t\n173\t\n174\tdef infer_city(sector: str, default: str = \"Québec\") -> str:\n175\t key = strip_accents((sector or \"\").strip().lower())\n176\t if key in _LEVIS_SECTORS or \"levis\" in key:\n177\t return \"Lévis\"\n178\t return default\n179\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_01Hv2G8BfrddxW6M66UNiJcn","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"f8ee7701-aa93-4be5-a97d-7601f35b950e","timestamp":"2026-08-22T23:31:06.909Z"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"a64a47b48656620e3","tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","status":"completed","output_file":"","summary":"Explorer architecture lou-ka","usage":{"total_tokens":46832,"tool_uses":36,"duration_ms":53021},"uuid":"c866f6dd-3bb8-4446-9ee6-2389fa224caf","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Hv2G8BfrddxW6M66UNiJcn","type":"tool_result","content":[{"type":"text","text":"Parfait, j'ai recueilli assez d'informations. Voici mon rapport structuré :\n\n---\n\n## RAPPORT EXPLORATION LOU-KA : ARCHITECTURE GLOBALE ET PIPELINE CONNECTEURS\n\n### 1. STRUCTURE GLOBALE\n\n**Backend :** Python — répertoire `/louka/` (32 modules) \n**Frontend :** TypeScript/React + Vite — répertoire `/frontend/` (pages, composants, CSS) \n**Base de données :** SQLite — `/data/louka.db` \n**Acteurs Apify :** `/actors/` (ka-apartments-com, ka-fb-marketplace) \n**Point d'entrée :** `run.py` (sync, serve, geocode, kascores…)\n\n### 2. PIPELINE CONNECTEURS\n\n**Registre auto-découvrant :** `/louka/connectors/__init__.py` balaye tous les `.py` du répertoire, trouve les sous-classes de `BaseConnector` avec un `source_id` non vide, et les enregistre dans `CONNECTORS[]` — zéro configuration partagée.\n\n**Classe de base :** `/louka/connectors/base.py` — `BaseConnector`\n- Contrat : implémenter `fetch() -> list[Listing]`\n- Backends intégrés : `get()`, `post()` (throttling 0.6s), `get_rendered()` (Firecrawl), `scrapfly()`, `detail()` (cache)\n- Résilience : auto-escalade anti-bot (Oxylabs → Scrapfly ASP → Bright Data)\n\n**Orchestration :** `/louka/ingest.py` — `run()` exécute tous les connecteurs en série\n- Chaque connecteur produit une `list[Listing]`\n- `db.sync_source()` diff avec la BD : ajouts/mises à jour/retraits\n- Disjoncteur (circuit breaker) : 5 échecs = source sautée, retentée tous les 5 cycles\n\n**Connecteurs existants :** `/louka/connectors/` (~70 sources)\n- **apartments_com.py** : délègue à acteur Apify (ka-apartments-com), ré-émet les actives entre deux runs\n- **fb_marketplace.py** : délègue à acteur Apify (ka-fb-marketplace), recherches multi-ville/tranche de prix\n- **kijiji.py** : scraping direct (BeautifulSoup)\n- Autres : agences locales, Logisco, Locago, etc.\n\n### 3. BASE DE DONNÉES\n\n**Schéma :** `/louka/db.py` (SQLite, ~19 KB)\n- Table `listings` (clé=`uid` = `source:external_id`) : champs standards (prix, adresse, GPS, description, images JSON, details JSON)\n- Table `sync_log` : historique des synchronisations par source\n- Table `detail_cache` : cache des fiches détail (~30j TTL)\n- Table `price_log` : journal des prix historiques\n- Table `poi_cache` : commodités proximité (géocodé)\n\n**Qualité :** `/louka/quality.py` — score 0-100 + quarantaine\n- `relevance_reason()` : détecte les non-logements (stationnements, garages, locaux, locations à la nuit) → `published=0`\n- Seuil minimum 40/100 + portes dures (prix, localisation, contenu)\n\n**Localisation fichier :** `Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"` → `/Users/simon-pierreboucher/apps/lou-ka/data/louka.db`\n\n### 4. BACKEND WEB\n\n**Framework :** FastAPI (`/louka/web.py`) \n**Port par défaut :** 8080 (param `serve`) \n**Entrée :** `uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=8080)` (via `run.py serve`) \n\n**Routes clés :**\n- `GET /api/listings` — liste paginée (filtres : city, price, pets, unit_type, q…)\n- `GET /api/listings.geojson` — géojson (carte)\n- `GET /api/listings/{uid}` — détail\n- `GET /api/facets` — agrégation (villes, sources, types)\n- `GET /api/stats` — statistiques globales\n\n**Frontend statique :** montée en `/` via `StaticFiles` (dist compilée Vite)\n\n### 5. FRONTEND\n\n**Tech :** React 18 + React Router v6 + Vite + TypeScript \n**Entrée :** `frontend/src/main.tsx` → `frontend/index.html` \n**Build :** `npm run build` → `frontend/dist/`\n\n**Navigation :** `/frontend/src/App.tsx` — `NAV_LINKS` constant (lignes 77-85)\n```typescript\nconst NAV_LINKS = [\n { to: \"/\", label: \"Logements\", icon: , end: true },\n { to: \"/?view=carte\", label: \"Carte\", icon: , end: false, force: true },\n { to: \"/stats\", label: \"Stats\", ... },\n { to: \"/sources\", label: \"Sources\", ... },\n { to: \"/contact\", label: \"Contact\", ... },\n];\n```\n\n**Pages :** `/frontend/src/pages/` — `Home.tsx` (liste + filtres), `Listing.tsx` (détail), `Stats.tsx`, `Ville.tsx`, etc. \n**Pas de « sections » : modèle mono-vertical** — la liste filtrée est le centre, la carte vue alternative \n**Styles :** `/frontend/src/styles.css` (94 KB monolithique)\n\n### 6. ACTEURS APIFY\n\n**Localisation :** `/actors/ka-apartments-com/`, `/actors/ka-fb-marketplace/` \n**Structure :** `.actor/actor.json` (metadata), `src/main.py` (logique), `requirements.txt`\n\n**ka-apartments-com :**\n- Récupère Apartments.com (/qc/, toute province)\n- Fiches détail en français (/fr/)\n- Pushes items `kind=\"listing\"` et `kind=\"detail\"` au dataset\n- Utilise Bright Data Web Unlocker (anti-Akamai)\n- Appelé par connecteur Python via API Apify (`POST /v2/acts/{ACTOR}/runs`)\n\n**ka-fb-marketplace :**\n- Scrape Facebook Marketplace\n- Multi-ville (CITIES dict), tranches de prix (PRICE_BANDS)\n- Idem : items → dataset Apify\n- Appelé par connecteur Python\n\n**Pipeline connecteur <-> acteur :**\n1. Connecteur construit payload (searchUrls, maxPages, getDetails…)\n2. POST à `APIFY_API/acts/{ACTOR}/runs?waitForFinish=120`\n3. Attend fin (poll aux 10s) → get dataset items\n4. Normalize en Listing, insère en BD\n\n### 7. CONFIGURATION & BUILD\n\n**`.env`** (NE PAS COMMITTER) :\n- `APIFY_TOKEN` (acteurs Apify)\n- `BRIGHTDATA_API_KEY`, `BRIGHTDATA_ZONE` (déverrouillage Akamai)\n- `FIRECRAWL_API_KEY`, `SCRAPFLY_KEY` (scraping JS)\n- `GOOGLE_CLIENT_ID/SECRET` (auth)\n- `KA_SSO_SECRET` (session Groupe Ka)\n\n**Build frontend :** `npm run build` (Vite TypeScript) \n**Build backend :** aucun, Python direct \n**Lancement PM2 :** (pas vu de ecosystem.config.js, mais `run.py serve` = point d'entrée)\n\n---\n\n## POUR AJOUTER UNE SECTION « LOCATION COURT TERME »\n\n**Isolation garantie :**\n1. Créer `/louka/connectors/shortterm_*.py` (nouveaux connecteurs, classe `ShortTermConnector(BaseConnector)`)\n2. Table BD secondaire ou colonne `listing_type` (long_term vs short_term) — la requête API `/api/listings` peut filtrer\n3. Routes API dédiées `/api/shortterm/listings`, `/api/shortterm/facets`\n4. Pages React `/frontend/src/pages/ShortTerm*.tsx` + onglet \"Court Terme\" dans `NAV_LINKS`\n5. Pipeline cron : `python run.py sync | grep short_term` ou cron dédié\n\n**Aucune touche au pipeline standard** : les connecteurs long_term ignorent la colonne `listing_type`."}]}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"06386f38-3335-41d6-9e07-1e79a0458aee","timestamp":"2026-08-22T23:31:31.631Z","tool_use_result":{"status":"completed","prompt":"Explore le repo /Users/simon-pierreboucher/apps/lou-ka (app de location de logements au Québec, Groupe Ka). Thoroughness: very thorough.\n\nJe veux ajouter une NOUVELLE section « location court terme » (agrégateur type Airbnb/chalets) sur une page séparée, avec ses propres connecteurs, sans toucher au pipeline standard. Pour ça j'ai besoin de comprendre :\n\n1. Structure globale du repo (arborescence top-level, backend/frontend, langage, frameworks).\n2. Le pipeline de connecteurs existant : où sont les connecteurs (ex. fb_marketplace, apartments_com, kijiji…), comment un connecteur est structuré (classe de base? fonction? config?), comment ils sont orchestrés (cron? script run_all?), comment les résultats sont normalisés/insérés en DB.\n3. La base de données : SQLite/Postgres? schéma des tables (listings, etc.), où est le fichier/connexion, comment quality.py / relevance_reason() fonctionne (quarantaine).\n4. Le backend web : framework (FastAPI/Express?), routes API existantes (liste, carte, geojson, détail), port, comment PM2 le lance (nom du process pm2), fichier d'entrée.\n5. Le frontend : SPA ou pages serveur? où sont les templates/JS/CSS, comment le header/nav est construit (pour ajouter un onglet), comment la page liste + carte fonctionne, y a-t-il un système de \"sections\" ou tout est mono-vertical.\n6. Les acteurs Apify existants du repo (ka-fb-marketplace, ka-apartments-com) : où est leur code source dans le repo, structure (.actor/, main.py…), comment le pipeline les appelle (API Apify? apify call?).\n7. Tout mécanisme de config (.env, settings) et le build éventuel (npm build? rien?).\n\nRapporte les chemins de fichiers précis et des extraits courts des patterns clés (classe connecteur, insertion DB, enregistrement des routes, nav header). Réponse structurée, max ~800 mots.","agentId":"a64a47b48656620e3","agentType":"Explore","content":[{"type":"text","text":"Parfait, j'ai recueilli assez d'informations. Voici mon rapport structuré :\n\n---\n\n## RAPPORT EXPLORATION LOU-KA : ARCHITECTURE GLOBALE ET PIPELINE CONNECTEURS\n\n### 1. STRUCTURE GLOBALE\n\n**Backend :** Python — répertoire `/louka/` (32 modules) \n**Frontend :** TypeScript/React + Vite — répertoire `/frontend/` (pages, composants, CSS) \n**Base de données :** SQLite — `/data/louka.db` \n**Acteurs Apify :** `/actors/` (ka-apartments-com, ka-fb-marketplace) \n**Point d'entrée :** `run.py` (sync, serve, geocode, kascores…)\n\n### 2. PIPELINE CONNECTEURS\n\n**Registre auto-découvrant :** `/louka/connectors/__init__.py` balaye tous les `.py` du répertoire, trouve les sous-classes de `BaseConnector` avec un `source_id` non vide, et les enregistre dans `CONNECTORS[]` — zéro configuration partagée.\n\n**Classe de base :** `/louka/connectors/base.py` — `BaseConnector`\n- Contrat : implémenter `fetch() -> list[Listing]`\n- Backends intégrés : `get()`, `post()` (throttling 0.6s), `get_rendered()` (Firecrawl), `scrapfly()`, `detail()` (cache)\n- Résilience : auto-escalade anti-bot (Oxylabs → Scrapfly ASP → Bright Data)\n\n**Orchestration :** `/louka/ingest.py` — `run()` exécute tous les connecteurs en série\n- Chaque connecteur produit une `list[Listing]`\n- `db.sync_source()` diff avec la BD : ajouts/mises à jour/retraits\n- Disjoncteur (circuit breaker) : 5 échecs = source sautée, retentée tous les 5 cycles\n\n**Connecteurs existants :** `/louka/connectors/` (~70 sources)\n- **apartments_com.py** : délègue à acteur Apify (ka-apartments-com), ré-émet les actives entre deux runs\n- **fb_marketplace.py** : délègue à acteur Apify (ka-fb-marketplace), recherches multi-ville/tranche de prix\n- **kijiji.py** : scraping direct (BeautifulSoup)\n- Autres : agences locales, Logisco, Locago, etc.\n\n### 3. BASE DE DONNÉES\n\n**Schéma :** `/louka/db.py` (SQLite, ~19 KB)\n- Table `listings` (clé=`uid` = `source:external_id`) : champs standards (prix, adresse, GPS, description, images JSON, details JSON)\n- Table `sync_log` : historique des synchronisations par source\n- Table `detail_cache` : cache des fiches détail (~30j TTL)\n- Table `price_log` : journal des prix historiques\n- Table `poi_cache` : commodités proximité (géocodé)\n\n**Qualité :** `/louka/quality.py` — score 0-100 + quarantaine\n- `relevance_reason()` : détecte les non-logements (stationnements, garages, locaux, locations à la nuit) → `published=0`\n- Seuil minimum 40/100 + portes dures (prix, localisation, contenu)\n\n**Localisation fichier :** `Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"` → `/Users/simon-pierreboucher/apps/lou-ka/data/louka.db`\n\n### 4. BACKEND WEB\n\n**Framework :** FastAPI (`/louka/web.py`) \n**Port par défaut :** 8080 (param `serve`) \n**Entrée :** `uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=8080)` (via `run.py serve`) \n\n**Routes clés :**\n- `GET /api/listings` — liste paginée (filtres : city, price, pets, unit_type, q…)\n- `GET /api/listings.geojson` — géojson (carte)\n- `GET /api/listings/{uid}` — détail\n- `GET /api/facets` — agrégation (villes, sources, types)\n- `GET /api/stats` — statistiques globales\n\n**Frontend statique :** montée en `/` via `StaticFiles` (dist compilée Vite)\n\n### 5. FRONTEND\n\n**Tech :** React 18 + React Router v6 + Vite + TypeScript \n**Entrée :** `frontend/src/main.tsx` → `frontend/index.html` \n**Build :** `npm run build` → `frontend/dist/`\n\n**Navigation :** `/frontend/src/App.tsx` — `NAV_LINKS` constant (lignes 77-85)\n```typescript\nconst NAV_LINKS = [\n { to: \"/\", label: \"Logements\", icon: , end: true },\n { to: \"/?view=carte\", label: \"Carte\", icon: , end: false, force: true },\n { to: \"/stats\", label: \"Stats\", ... },\n { to: \"/sources\", label: \"Sources\", ... },\n { to: \"/contact\", label: \"Contact\", ... },\n];\n```\n\n**Pages :** `/frontend/src/pages/` — `Home.tsx` (liste + filtres), `Listing.tsx` (détail), `Stats.tsx`, `Ville.tsx`, etc. \n**Pas de « sections » : modèle mono-vertical** — la liste filtrée est le centre, la carte vue alternative \n**Styles :** `/frontend/src/styles.css` (94 KB monolithique)\n\n### 6. ACTEURS APIFY\n\n**Localisation :** `/actors/ka-apartments-com/`, `/actors/ka-fb-marketplace/` \n**Structure :** `.actor/actor.json` (metadata), `src/main.py` (logique), `requirements.txt`\n\n**ka-apartments-com :**\n- Récupère Apartments.com (/qc/, toute province)\n- Fiches détail en français (/fr/)\n- Pushes items `kind=\"listing\"` et `kind=\"detail\"` au dataset\n- Utilise Bright Data Web Unlocker (anti-Akamai)\n- Appelé par connecteur Python via API Apify (`POST /v2/acts/{ACTOR}/runs`)\n\n**ka-fb-marketplace :**\n- Scrape Facebook Marketplace\n- Multi-ville (CITIES dict), tranches de prix (PRICE_BANDS)\n- Idem : items → dataset Apify\n- Appelé par connecteur Python\n\n**Pipeline connecteur <-> acteur :**\n1. Connecteur construit payload (searchUrls, maxPages, getDetails…)\n2. POST à `APIFY_API/acts/{ACTOR}/runs?waitForFinish=120`\n3. Attend fin (poll aux 10s) → get dataset items\n4. Normalize en Listing, insère en BD\n\n### 7. CONFIGURATION & BUILD\n\n**`.env`** (NE PAS COMMITTER) :\n- `APIFY_TOKEN` (acteurs Apify)\n- `BRIGHTDATA_API_KEY`, `BRIGHTDATA_ZONE` (déverrouillage Akamai)\n- `FIRECRAWL_API_KEY`, `SCRAPFLY_KEY` (scraping JS)\n- `GOOGLE_CLIENT_ID/SECRET` (auth)\n- `KA_SSO_SECRET` (session Groupe Ka)\n\n**Build frontend :** `npm run build` (Vite TypeScript) \n**Build backend :** aucun, Python direct \n**Lancement PM2 :** (pas vu de ecosystem.config.js, mais `run.py serve` = point d'entrée)\n\n---\n\n## POUR AJOUTER UNE SECTION « LOCATION COURT TERME »\n\n**Isolation garantie :**\n1. Créer `/louka/connectors/shortterm_*.py` (nouveaux connecteurs, classe `ShortTermConnector(BaseConnector)`)\n2. Table BD secondaire ou colonne `listing_type` (long_term vs short_term) — la requête API `/api/listings` peut filtrer\n3. Routes API dédiées `/api/shortterm/listings`, `/api/shortterm/facets`\n4. Pages React `/frontend/src/pages/ShortTerm*.tsx` + onglet \"Court Terme\" dans `NAV_LINKS`\n5. Pipeline cron : `python run.py sync | grep short_term` ou cron dédié\n\n**Aucune touche au pipeline standard** : les connecteurs long_term ignorent la colonne `listing_type`."}],"totalDurationMs":53022,"totalTokens":48384,"totalToolUseCount":36,"usage":{"input_tokens":7,"cache_creation_input_tokens":3421,"cache_read_input_tokens":42719,"output_tokens":2237,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":3421},"inference_geo":"","iterations":[{"input_tokens":7,"output_tokens":2237,"cache_read_input_tokens":42719,"cache_creation_input_tokens":3421,"cache_creation":{"ephemeral_5m_input_tokens":3421,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"toolStats":{"readCount":15,"searchCount":0,"bashCount":21,"editFileCount":0,"linesAdded":0,"linesRemoved":0,"otherToolCount":0}}}} 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OWxpd6PJ9awG42KMw2lqdvTB2lZiGnM62ynE4GqUuTD6lNL10uXcXM0VycOJ0ywtIfK1Pyi2y0K6TgcT3t3Df7k6i843rSmxkFe2xhpkrRJ6q1PZqW7Kxt7gkGkFJoz6E50IoRSDRZZqvi7xTgSvQ6ZDho/sFxABNIGYE6nuwE7vUlDGFcnsfWbWekaADOadkHJ6s+bFddJS2vW0fyBWzzHgLkkLdAEpoY0EB0nsRRTbQ6CQrGqsH6dBw0EHCa+cX7jl/wvCmyl1F/gBqTcet//QL5usf1Z7lqF0/FE4dGRbJZQomws2ovgMqiZOnSgCRYi/Ve+3I36d5MTZ7jlrTdmXoRr6ZOyEZUGLBkyMF8AUPSXFtomBC/8nyIpM2pdCIp9lZ6FJBPQF9J3q5HBiGzk0y03CVWeSjjJF+JalB1LR0RsLPVtqunK9nvjyMJh+TqG2HY3SImGghpySGXoty/Dlyst0DVuRz3PW2FTxyCZchfGAeXlZ9kPlNPH8o4q8JFiGHYdAx0I9dLmWQThfT5T4dF3S/NiX/8vptz57vEi2G4/pnOToQui/nJqoVvlE13DrIuqbIuTLH1iHVC1EtdTFQMopYSBuHgMN5IOhLi+bcCcRoNcKWiYRA3mBIE5Xu50Wv1Rzyu01SB6MRZQOtIl8B0kanDb22XiRYVXDO/hWKRYt+ZgkUd4tM7vbPCgsnnMFgsLpSDZDVkXdnnJPIq7ErZEcaQhqDfPtFt+g0VxWDLNoS4H9w26N74WTbD6xHRyI038Pt/PcRppC6ehTgbCqKE1AnUxUTishzzehwT7yEcAd6sy6QWltXH2De9REKnKQXJMHk+8+IOMOHeo4QLTfS6eTwzHRrnYbFqW+licukQmJxf7B8hLF6zmGxv9nb052vE2ouJh0+lkvBj99r0y3ecpzn9LJjXnGCR3q4gUsbxne11pspQEpH/AwPw4kX6dErAQtayQuO22jCo4HO40pEQEa2uiQmWX1sBsLU+AEIxuw7S+6OGgSalY63pqrAEkkEY1PZBiwiZ5oeGZGlbIsWt6io/zgxS+KuKhpsF628kIF3oXzG9WQi7EET80vlG/ui7hoCdRsc4kGdT7Yh3HO+6mnkotJ81K3ma3TXOO580DbKW9zELgWNFZCM5PpMO4LjNTVrwcAD+a+ieAD/wvvP/WC1y7d+NVHmlTx09/uOC1qDHCfmrvnpllHTlL2mcu4WST5py1u30/JgKF/cmuNJw4xu+gYMuhCq+kcREcBQU0sDLhxykvLoF9VeqY1BEjV/1u9mWoKco+fBtfkOOp3srZbUp/7/VQ2WNB7NKNrCnE818o8KOnPCVOdVhe2XnJTHqP96wrzCqOot51/1zDnx+OygUr3HsynWodYeye6FHt3y8ieST07sIX1ofVreCoLVRPqykJ8AaG3C0Ou8Gw2fFujgthj7YrbPMrv5Fy/kRKh57L97Q9fLrwiiBQGP0k3xElvqxfrDSr9Qe5CA0e6RWSd3tqsx4ifcpjWKOxKEx7/7bFiIOlqNVcm0KHu+bDwRcQ/puOWvmJsKgKrG8mBd+Ucw4dz4byLyqJ9uYuoNZNgrqITwnvKlw6+zca75Xo3l4+xcslF7fowu6nYXfzyXR1W7ZxViqfs/Q5Z4bznBn2WbdqkaBhI4rfTFQemzprZP2xsIlDzdlof9Ty7YpBkH6I6ZBTGYKKTLW0Ot/lB56+YLgKroH0oZob4Y/9vGSsbUvY9iRzgBchJNjdv62DOsWJieleRCgeFrQL/XQ/yS+KlCY622VaOJXwPtBPPztqTmz7tpds+sXoyHfSU6wjWguoei0YjOmx4oYca1GBYImzkRE4Vuq3mKxdlXGBC/Vp+XdvVhPxj6wEgclyMJ9R8xVENhP52ycj8YDu46InRJ64MeWS2a3YJRO1nkd9KufWBvGn/AU8fLvQYWxd0SL1qRaDjoU7N60GRE0Oc+mMbPIRwjdx1Y8Xwk0c46B59hjsx8YYs2O8v9IYdK6AOnBOYBKsOusyM4TdSrZ8lsPAalZP8HucdTqWQxma/SauNRgFnwZhCLN0NE8dTHIfR56ZU4o0WrDgAyq5bRluRK2KI7KNtnRRLfery0WhLXVsEehpNzwWb891wBozpbRgpNc5/28YwhyKCSRfWvfNX+Vsq59IOlSZo53p8zAfiDMshAt9xkE58EVHVaFBb0ElyAv4BeqTmvl+it4ab4Q0hrWRkXIOmIMe+HrPwKlrPBrlVy7QtaFXqlI8XpQ9BnehppVxxWZNpAU9pE7LIBXgRy1u39FMdWGphnHJm1/epFgnZUM9aQg2VfPa18eUYvKUPfaX3XLKjGo95XEyCFV6+9i9kEw0OQAuuF7JZTIoktqf3KqJW0UKny3x52V9OfNI5N6rchitc2ObUOUHtNQhmXWKnYWWEU6KPPPhcj04edWWKfpqRr3fXTNNi+/Pe6N4d1kXli2wEM8Rl4aziUAfYaSk+T9bEtEjDtXSC71xIjTOmWtqLr2d3bNxIo7NDTCpLTtWI0aoWNgwiS37H8Q7C68DNfg2ISsSoR6FNXVmInru8uG+y4Rv/cmhNRQVDdQk90tZ15RuFyKrOI5iOK+w386DJj3HRPj1OBpNlWJWfXtV56rLflSaTTIqPR67du+Zllm1EhekrySN3Yniot4DyglteOuzBQR28HOovG7eKZXNI0QPy7OkJltq4wKDjSGggLEYM5mUlAN2/GhKsH7gpQr7pQHin3iEloH0EaqqlVILgWwYCcpaVomQVptM5cro7HB8lVoiRyFcvhlwkBd6i7rZT+sR8+Rp68oBlAIhco/ZZo31Df1ATZAvj1bpb7N9rnKNxWPRI6xIWX2dAtH+CpBlXg9c/Ux3e9fVfsJY0lFJVJlAd/TV+0NRXViuG2nTFDJIZXwYEaPnkUcSqNGjAIkRbb4AhtRwg9xuDdg3FL+CZX63vOjDB4/yclUo4O7vzXAXXeV2/pAKPzOWf4DrTIN7HVXS2dmxyNZ4pwGKC74N+hC2EDY9NwwUenx1ayWlux62qJkeKWlnbuHZbTF9s4dT0zGdEhzckiOhgLTOenSysXO7hwt5oedVSH6ulr3TJzKEpjw7WbRVJUWinbPrGTFHY5JXOO/PsjCUIscy388i9OwKG5mHR9XfE6V9QxU3CG60gBPxg4MJ9NyBgPR9X48HevxA9na+XGC1DpJVGQOFw1T0Ia/yhksG4BbPMv3NtkdJGkwJ8Sig3x0tkXKxz2BLKkVG4E4twDdPIlD+HJtAVeJ4LfDT1xGpDonSIvW2d/ZrrLTEPrq4DlvzNOqtUiI1FC2eXgMcNeygk01eAOk1svL2yf2xKj24nXwaT5lpW3RGsix/x06mVDxqR6fMdWLIM97v2Uj3VGSmE6AqCrg7vIkpcALJbVCwh4N2H6B+zyTK7cKCspmYb3PnLjUsswpIZ5GxqbBJ6rJxB5pnNcgwCXR/DoNZkVkMNIittuOKsWrajppmVTBZZw1wDBDIH7+Zyz7dHzFk2U8G6zJ+qihvASvEfzcVxyfQMWhNGrOhy4pCJMOvLWqSnOR/pgoHxCSifldn4GBJWt6SD2CfH93LPmu4xps4bf5qc6+AeZ3DgMe5SuAVR399G7j8xcA4GBt3bY8NuhJOAYvE33eCIN4FV7hUAnK8BhI9PYbO06uvNz7OfVvAw8r822bwV8pA0HI0IIYToGKllCnc++JUnBkHMEEeOKrzI0HjWAvcLxiVeogSxdwUDRbzNC+9k5X1t2uvhqiyH7Hh6uLDBNJDRcj+4OhERnuKEEl26SDE0INJ5KSX+BZr8MRvnq2kHrNk5+xcKeYxBQLlCERbiIrF1n2B0Cs5R2SWXzkHI5JSm0PiHSbeTjS27nOzgdzz1UrNgcl92m07aDsNnBtr4p7ef6mSaRF9WaJLjjtFRgxuPzpD0qF9IVkxtKU3DcX1ZyRAMowpFeKaDqnG8ywXB9xObEUlAfoFEB26/GsDhRn4qxNOk3ZkzU39inl8McWchgl1ygi6+MbGp+HjlEzaHHxIdLtKiYQXganWEdVjksuhoZ36WQXlZXFCGAzyIum4RPhQCkNJw/ktYjkVyEnKbP0bM6C73n1dwZoeedkeKrIvSNT7zMQkQqh+K2DgxNXd9lDoFGoBZOX+YeqL/zTYm9p4H3kzAZFthbWvPYuka9Wl4TxLiKm/PGEqd2YXN8Fz0mK66xZZN/w5O8L6QJKDUg1T/JjX6kO65Jxyos/RUaPCZ2OAD/dp55LvU4ON2H/YzCsPvxjxRLBEe5rO9kRmIcrGhiOOeQ9pK/1y9JNuQJhzJiGA87nOKZPXn/zoiYMj4OJ92b2hHxw9MveEiGcZjiY0Ittwp37NaYEkNcJacVJNPW4bVeOzPr0uIDimWVr/qXRPiA4pZj2XXGBFzSdHfeIkGi1HdMYPpjS81NKqTLb7o0FWJnyKrmUkHdp0ljpXtVt8OziIwjIsnCfvHfn5XVLANcPbg4XyjIFlSMdzk8zIA7zbtsqSU6u/PBcbgiPrD2lZEUzidaNWgpKGQQVKE/4N4ouPqqlKSyf9MIPSYns8YY1mE6ilUhXVrKIyjBXoEqSfh+Rt6xWybagCL0gwSWyS5WgWarw0u0UBb7lkn3Y2b933rsFa3zUUXwb8utB7ud23ReaHTdk45d3aHhQVq02Kvvd8gBU8fEwYJuJMQWRXOWQPkNVYAJtTDjVoV5/fRES5jFEkRyt24vg9Lqs7wz/hqU6PKH10E8fVBbE68v8VUAyq5fPqUjyb2fda0VsKKufFY+YbB4R7/5PCT8ZpZHFXn3DlUBZEVEPmeamnm5u7Adt0tz9Uc1qa+PGTWkCpmTtltWQ2Ln2lVDlVujGfj9tfUuDWw9M19g/tSU/cC9tHLmUSEfRjBJoYfh7vZ1l2ycN+6M01SANblt6J2Lhzg80YNn7ZOdufwp1e3Vji/UJOuWeB2m6Dk2MNv9uuhEPRpbDJlXXyVawnnGRFhyQeK3WOpsrCpS8CSozrD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-----------------------------------------------------------------------------\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:\n201\t r = getattr(exc, \"response\", None)\n202\t if r is not None and _kar.is_blocked(r):\n203\t target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n204\t better = _kar.escalate_if_blocked(\n205\t r, target, timeout=timeout, headers=headers)\n206\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n207\t return better\n208\t raise\n209\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n210\t better = _kar.escalate(_ka_full_url(url, kw),\n211\t timeout=timeout, headers=headers)\n212\t if better is not None and getattr(better, \"status_code\", 0) == 200:\n213\t return better\n214\t raise\n215\t\n216\t def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n217\t \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n218\t\n219\t Comme get() mais tente d'abord le direct puis escalade même sur 200-\n220\t challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n221\t requests (.text/.content/.status_code/.json()...).\n222\t \"\"\"\n223\t timeout = getattr(self, \"timeout\", 30)\n224\t headers = kw.get(\"headers\")\n225\t try:\n226\t resp = _ka_orig_get(self, url, **kw)\n227\t except _ka_requests.HTTPError as exc:\n228\t resp = getattr(exc, \"response\", None)\n229\t except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n230\t resp = None\n231\t target = _ka_full_url(url, kw)\n232\t if resp is not None and getattr(resp, \"url\", None):\n233\t target = resp.url\n234\t return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n235\t country=country, render_js=render_js,\n236\t headers=headers)\n237\t\n238\t BaseConnector.get = _ka_resilient_get\n239\t BaseConnector.get_resilient = _ka_get_resilient\n240\t BaseConnector._KA_RESILIENT_WRAPPED = True\n241\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"153a82ab-f7da-46e5-bb00-facb29318453","timestamp":"2026-08-22T23:32:29.726Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/base.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/base.py : classe de base des connecteurs + backends de fetch\n# (requests direct, Firecrawl ou Scrapfly pour les sites\n# JavaScript / derrière anti-bot)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport time\n\nimport requests\n\nfrom ..schema import Listing\n\nUSER_AGENT = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) \"\n \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 \"\n \"LouKaBot/1.0 (+https://www.lou-ka.com/bot; contact@spboucher.ai)\")\n\nFIRECRAWL_API = \"https://api.firecrawl.dev/v1/scrape\"\nSCRAPFLY_API = \"https://api.scrapfly.io/scrape\"\n\n\nclass BaseConnector:\n \"\"\"Un connecteur = un adaptateur propre à un site d'agence.\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste complète des annonces actuellement affichées sur le site.\n Le pipeline (ingest.py) s'occupe du diff avec la base de données.\n \"\"\"\n\n source_id: str = \"\"\n request_delay: float = 0.6 # politesse entre requêtes\n timeout: int = 30\n use_detail_cache: bool = True # cache BD des pages détail\n disabled: bool = False # True = source hors-ligne : le module est\n # conservé mais exclu du registre (connectors/__init__.py) et donc de l'ingestion\n\n def __init__(self) -> None:\n self.session = requests.Session()\n self.session.headers[\"User-Agent\"] = USER_AGENT\n self._last_request = 0.0\n self._detail_con = None\n\n # -- backends -------------------------------------------------------------\n def get(self, url: str, **kw) -> requests.Response:\n \"\"\"GET direct avec throttling poli.\"\"\"\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n resp = self.session.get(url, timeout=self.timeout, **kw)\n self._last_request = time.time()\n resp.raise_for_status()\n return resp\n\n def post(self, url: str, **kw) -> requests.Response:\n \"\"\"POST direct avec throttling poli (APIs de recherche internes).\"\"\"\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n resp = self.session.post(url, timeout=self.timeout, **kw)\n self._last_request = time.time()\n resp.raise_for_status()\n return resp\n\n def get_rendered(self, url: str) -> str:\n \"\"\"Récupère le HTML rendu (JavaScript exécuté) via Firecrawl.\n\n Nécessite FIRECRAWL_API_KEY dans l'environnement (.env).\n À utiliser pour les sites SPA (Logisco, Locago, etc.).\n \"\"\"\n key = os.environ.get(\"FIRECRAWL_API_KEY\")\n if not key:\n raise RuntimeError(\"FIRECRAWL_API_KEY manquant (voir .env)\")\n resp = requests.post(\n FIRECRAWL_API,\n json={\"url\": url, \"formats\": [\"html\"]},\n headers={\"Authorization\": f\"Bearer {key}\"},\n timeout=90,\n )\n resp.raise_for_status()\n data = resp.json()\n return (data.get(\"data\") or {}).get(\"html\", \"\")\n\n def scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n rendering_wait: int = 0, country: str = \"ca\",\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None, headers: dict | None = None,\n method: str = \"GET\", body: str | None = None) -> dict:\n \"\"\"Appel Scrapfly complet — retourne le dict `result` (content, status_code…).\n\n - `js_scenario` : liste d'étapes [{\"scroll_y\":…},{\"wait\":…}] (encodée base64)\n pour charger les listes virtualisées (BoldTrail/kvCORE, etc.).\n - `proxy_pool` : ex. \"public_residential_pool\" (WAF/anti-bot agressif).\n - `headers`/`method`/`body` : pour REJOUER une API JSON interne via ASP.\n \"\"\"\n import base64\n key = os.environ.get(\"SCRAPFLY_KEY\")\n if not key:\n raise RuntimeError(\"SCRAPFLY_KEY manquant (voir .env)\")\n params: dict = {\"key\": key, \"url\": url, \"country\": country}\n if asp:\n params[\"asp\"] = \"true\"\n if render_js:\n params[\"render_js\"] = \"true\"\n if rendering_wait:\n params[\"rendering_wait\"] = rendering_wait\n if wait_for_selector:\n params[\"wait_for_selector\"] = wait_for_selector\n if proxy_pool:\n params[\"proxy_pool\"] = proxy_pool\n if js_scenario is not None:\n js = js_scenario if isinstance(js_scenario, str) else json.dumps(js_scenario)\n params[\"js_scenario\"] = base64.urlsafe_b64encode(js.encode()).decode()\n if headers:\n for k, v in headers.items():\n params[f\"headers[{k}]\"] = v\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n if method.upper() == \"POST\":\n resp = requests.post(SCRAPFLY_API, params=params,\n data=(body or \"\"), timeout=180)\n else:\n resp = requests.get(SCRAPFLY_API, params=params, timeout=180)\n self._last_request = time.time()\n try:\n return resp.json().get(\"result\") or {}\n except ValueError:\n return {}\n\n def get_scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n rendering_wait: int = 0, country: str = \"ca\",\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None) -> str:\n \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne\n le HTML (result.content) ou \"\" en cas d'échec ASP.\"\"\"\n return self.scrapfly(url, render_js=render_js, asp=asp,\n rendering_wait=rendering_wait, country=country,\n wait_for_selector=wait_for_selector,\n js_scenario=js_scenario, proxy_pool=proxy_pool\n ).get(\"content\") or \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Payload « page détail » avec cache : `fetch_fn` n'est appelé que si\n l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.\n\n Permet d'extraire les champs riches (description, inclusions, contact…)\n sans revisiter chaque page détail à chaque synchronisation.\n `fetch_fn` doit retourner un dict JSON-sérialisable.\n \"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[Listing]:\n raise NotImplementedError\n\n\n# =============================================================================\n# Résilience anti-bot (Groupe KA) — auto-escalade de get() sans toucher au corps.\n# Ajouté par l'orchestrateur KA : enrobe BaseConnector.get pour qu'un blocage\n# anti-bot (403/429/503/challenge) ou une coupure réseau déclenche la chaîne\n# de secours (Oxylabs résidentiel -> Scrapfly ASP -> Bright Data). Voir\n# connectors/_resilient.py. Idempotent (marqueur _KA_RESILIENT_WRAPPED).\n# =============================================================================\nif not getattr(BaseConnector, \"_KA_RESILIENT_WRAPPED\", False):\n import requests as _ka_requests # noqa: E402\n from . import _resilient as _kar # noqa: E402\n\n _ka_orig_get = BaseConnector.get\n\n def _ka_full_url(url, kw):\n try:\n return _ka_requests.Request(\"GET\", url,\n params=kw.get(\"params\")).prepare().url\n except Exception: # noqa: BLE001\n return url\n\n def _ka_resilient_get(self, url, **kw):\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n return _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n r = getattr(exc, \"response\", None)\n if r is not None and _kar.is_blocked(r):\n target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n better = _kar.escalate_if_blocked(\n r, target, timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n better = _kar.escalate(_ka_full_url(url, kw),\n timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n\n def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n\n Comme get() mais tente d'abord le direct puis escalade même sur 200-\n challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n requests (.text/.content/.status_code/.json()...).\n \"\"\"\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n resp = _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n resp = getattr(exc, \"response\", None)\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n resp = None\n target = _ka_full_url(url, kw)\n if resp is not None and getattr(resp, \"url\", None):\n target = resp.url\n return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n country=country, render_js=render_js,\n headers=headers)\n\n BaseConnector.get = _ka_resilient_get\n BaseConnector.get_resilient = _ka_get_resilient\n BaseConnector._KA_RESILIENT_WRAPPED = True\n","numLines":241,"startLine":1,"totalLines":241}}}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UfpR2pkt98pHg116CL3Jpj","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# ingest.py : pipeline d'ingestion — exécute les connecteurs et synchronise\n5\t# la base (ajouts / mises à jour / retraits) = contenu toujours à jour\n6\t# -----------------------------------------------------------------------------\n7\tfrom __future__ import annotations\n8\t\n9\timport sys\n10\timport time\n11\timport traceback\n12\t\n13\tfrom . import db\n14\tfrom .connectors import CONNECTORS\n15\t\n16\t# Disjoncteur (circuit breaker) : une source qui a échoué aux BREAKER_FAILS\n17\t# derniers passages consécutifs est SAUTÉE (les timeouts/retries des sources\n18\t# mortes ralentissaient tout le cycle), puis retentée un passage sur\n19\t# BREAKER_RETRY_EVERY. Les sauts sont consignés dans sync_log (ok=0,\n20\t# message « disjoncteur: … ») — ils comptent donc comme échecs consécutifs,\n21\t# ce qui fait avancer le compteur jusqu'à la prochaine retentative.\n22\tBREAKER_FAILS = 5\n23\tBREAKER_RETRY_EVERY = 5\n24\t\n25\t\n26\tdef _consecutive_failures(con, source: str) -> int:\n27\t \"\"\"Nombre d'entrées sync_log ok=0 consécutives (les plus récentes).\"\"\"\n28\t rows = con.execute(\n29\t \"SELECT ok FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 60\",\n30\t (source,)).fetchall()\n31\t n = 0\n32\t for r in rows:\n33\t if r[\"ok\"]:\n34\t break\n35\t n += 1\n36\t return n\n37\t\n38\t\n39\tdef run(sources: list[str] | None = None) -> list[dict]:\n40\t \"\"\"Exécute l'ingestion pour toutes les sources (ou celles demandées).\"\"\"\n41\t con = db.connect()\n42\t results = []\n43\t explicit = sources is not None # sync ciblé : ignorer le disjoncteur\n44\t targets = sources or list(CONNECTORS.keys())\n45\t for sid in targets:\n46\t cls = CONNECTORS.get(sid)\n47\t if cls is None:\n48\t print(f\"[lou-ka] connecteur inconnu : {sid}\", file=sys.stderr)\n49\t continue\n50\t if not explicit:\n51\t fails = _consecutive_failures(con, sid)\n52\t if fails >= BREAKER_FAILS and fails % BREAKER_RETRY_EVERY != 0:\n53\t print(f\"[lou-ka] {sid} sauté (disjoncteur : \"\n54\t f\"{fails} échecs consécutifs)\")\n55\t db.log_failure(con, sid,\n56\t f\"disjoncteur: sauté ({fails} échecs consécutifs)\")\n57\t results.append({\"source\": sid, \"skipped\": True, \"fails\": fails})\n58\t continue\n59\t t0 = time.time()\n60\t print(f\"[lou-ka] sync {sid} ...\")\n61\t try:\n62\t listings = cls().fetch()\n63\t finalized, dropped = [], 0\n64\t for lst in listings:\n65\t try:\n66\t finalized.append(lst.finalize())\n67\t except Exception: # une annonce malformée ne bloque pas la source\n68\t dropped += 1\n69\t stats = db.sync_source(con, sid, finalized)\n70\t stats[\"seconds\"] = round(time.time() - t0, 1)\n71\t if dropped:\n72\t stats[\"dropped\"] = dropped\n73\t if stats.get(\"alert\"):\n74\t print(f\"[lou-ka] ⚠ ALERTE {sid} : {stats['alert']}\")\n75\t print(f\"[lou-ka] {stats}\")\n76\t results.append(stats)\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 # statistiques du planificateur SQLite : sans elles, les requêtes bbox de\n82\t # la carte (Ka Maps) retombent sur idx_listings_active au lieu du géo-index\n83\t try:\n84\t con.execute(\"PRAGMA optimize\")\n85\t except Exception:\n86\t pass\n87\t con.close()\n88\t return results\n89\t\n90\t\n91\tdef watch(interval_seconds: int = 3600) -> None:\n92\t \"\"\"Boucle de rafraîchissement périodique (pseudo-webhook par sondage).\"\"\"\n93\t while True:\n94\t run()\n95\t try: # géocoder les nouvelles adresses EN LOT (Adresses Québec)\n96\t from . import geocode\n97\t geocode.run_batch()\n98\t except Exception as exc:\n99\t print(f\"[lou-ka] geocode: erreur non bloquante: {exc}\", file=sys.stderr)\n100\t try: # commodités de proximité des nouveaux immeubles (cache aussi)\n101\t from . import poi\n102\t poi.run(limit=80)\n103\t except Exception as exc:\n104\t print(f\"[lou-ka] poi: erreur non bloquante: {exc}\", file=sys.stderr)\n105\t try: # aire de diffusion (stats de quartier) des nouvelles annonces\n106\t from . import quartier\n107\t quartier.enrich()\n108\t except Exception as exc:\n109\t print(f\"[lou-ka] quartier: erreur non bloquante: {exc}\", file=sys.stderr)\n110\t try: # rafraîchir le score de complétude (le géocodage vient de compléter\n111\t # des coordonnées) + publication/quarantaine\n112\t from . import quality\n113\t quality.backfill()\n114\t except Exception as exc:\n115\t print(f\"[lou-ka] quality: erreur non bloquante: {exc}\", file=sys.stderr)\n116\t try: # contrôle qualité des images, par lots incrémentaux\n117\t from . import imgcheck\n118\t imgcheck.run(1500)\n119\t except Exception as exc:\n120\t print(f\"[lou-ka] imgcheck: erreur non bloquante: {exc}\", file=sys.stderr)\n121\t try: # déduplication inter-sources (APRÈS géocodage : coords requises)\n122\t from . import dedup\n123\t stats = dedup.run()\n124\t print(f\"[lou-ka] dedup: {stats}\")\n125\t except Exception as exc:\n126\t print(f\"[lou-ka] dedup: erreur non bloquante: {exc}\", file=sys.stderr)\n127\t try: # juste valeur locative (fair value) — après dedup/geocode/quality\n128\t from . import fairvalue\n129\t fairvalue.compute_all()\n130\t except Exception as exc:\n131\t print(f\"[lou-ka] fairvalue: erreur non bloquante: {exc}\", file=sys.stderr)\n132\t try: # environnement OSM (nouvelles tuiles seulement) + KA Scores\n133\t # incrémentaux des nouveaux immeubles — après géocodage\n134\t from . import environment, kascores\n135\t environment.run(limit=4)\n136\t stats_ks = kascores.run()\n137\t print(f\"[lou-ka] kascores: {stats_ks}\")\n138\t except Exception as exc:\n139\t print(f\"[lou-ka] kascores: erreur non bloquante: {exc}\", file=sys.stderr)\n140\t print(f\"[lou-ka] prochaine synchronisation dans {interval_seconds}s\")\n141\t time.sleep(interval_seconds)\n142\t\n143\t\n144\tif __name__ == \"__main__\":\n145\t run(sys.argv[1:] or None)\n146\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"f0844c47-1859-4a61-b88c-8078fa4652f5","timestamp":"2026-08-22T23:32:29.737Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/ingest.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# ingest.py : pipeline d'ingestion — exécute les connecteurs et synchronise\n# la base (ajouts / mises à jour / retraits) = contenu toujours à jour\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport sys\nimport time\nimport traceback\n\nfrom . import db\nfrom .connectors import CONNECTORS\n\n# Disjoncteur (circuit breaker) : une source qui a échoué aux BREAKER_FAILS\n# derniers passages consécutifs est SAUTÉE (les timeouts/retries des sources\n# mortes ralentissaient tout le cycle), puis retentée un passage sur\n# BREAKER_RETRY_EVERY. Les sauts sont consignés dans sync_log (ok=0,\n# message « disjoncteur: … ») — ils comptent donc comme échecs consécutifs,\n# ce qui fait avancer le compteur jusqu'à la prochaine retentative.\nBREAKER_FAILS = 5\nBREAKER_RETRY_EVERY = 5\n\n\ndef _consecutive_failures(con, source: str) -> int:\n \"\"\"Nombre d'entrées sync_log ok=0 consécutives (les plus récentes).\"\"\"\n rows = con.execute(\n \"SELECT ok FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 60\",\n (source,)).fetchall()\n n = 0\n for r in rows:\n if r[\"ok\"]:\n break\n n += 1\n return n\n\n\ndef run(sources: list[str] | None = None) -> list[dict]:\n \"\"\"Exécute l'ingestion pour toutes les sources (ou celles demandées).\"\"\"\n con = db.connect()\n results = []\n explicit = sources is not None # sync ciblé : ignorer le disjoncteur\n targets = sources or list(CONNECTORS.keys())\n for sid in targets:\n cls = CONNECTORS.get(sid)\n if cls is None:\n print(f\"[lou-ka] connecteur inconnu : {sid}\", file=sys.stderr)\n continue\n if not explicit:\n fails = _consecutive_failures(con, sid)\n if fails >= BREAKER_FAILS and fails % BREAKER_RETRY_EVERY != 0:\n print(f\"[lou-ka] {sid} sauté (disjoncteur : \"\n f\"{fails} échecs consécutifs)\")\n db.log_failure(con, sid,\n f\"disjoncteur: sauté ({fails} échecs consécutifs)\")\n results.append({\"source\": sid, \"skipped\": True, \"fails\": fails})\n continue\n t0 = time.time()\n print(f\"[lou-ka] sync {sid} ...\")\n try:\n listings = cls().fetch()\n finalized, dropped = [], 0\n for lst in listings:\n try:\n finalized.append(lst.finalize())\n except Exception: # une annonce malformée ne bloque pas la source\n dropped += 1\n stats = db.sync_source(con, sid, finalized)\n stats[\"seconds\"] = round(time.time() - t0, 1)\n if dropped:\n stats[\"dropped\"] = dropped\n if stats.get(\"alert\"):\n print(f\"[lou-ka] ⚠ ALERTE {sid} : {stats['alert']}\")\n print(f\"[lou-ka] {stats}\")\n results.append(stats)\n except Exception as exc: # robustesse : une source ne bloque pas les autres\n db.log_failure(con, sid, f\"{exc}\")\n traceback.print_exc()\n results.append({\"source\": sid, \"error\": str(exc)})\n # statistiques du planificateur SQLite : sans elles, les requêtes bbox de\n # la carte (Ka Maps) retombent sur idx_listings_active au lieu du géo-index\n try:\n con.execute(\"PRAGMA optimize\")\n except Exception:\n pass\n con.close()\n return results\n\n\ndef watch(interval_seconds: int = 3600) -> None:\n \"\"\"Boucle de rafraîchissement périodique (pseudo-webhook par sondage).\"\"\"\n while True:\n run()\n try: # géocoder les nouvelles adresses EN LOT (Adresses Québec)\n from . import geocode\n geocode.run_batch()\n except Exception as exc:\n print(f\"[lou-ka] geocode: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # commodités de proximité des nouveaux immeubles (cache aussi)\n from . import poi\n poi.run(limit=80)\n except Exception as exc:\n print(f\"[lou-ka] poi: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # aire de diffusion (stats de quartier) des nouvelles annonces\n from . import quartier\n quartier.enrich()\n except Exception as exc:\n print(f\"[lou-ka] quartier: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # rafraîchir le score de complétude (le géocodage vient de compléter\n # des coordonnées) + publication/quarantaine\n from . import quality\n quality.backfill()\n except Exception as exc:\n print(f\"[lou-ka] quality: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # contrôle qualité des images, par lots incrémentaux\n from . import imgcheck\n imgcheck.run(1500)\n except Exception as exc:\n print(f\"[lou-ka] imgcheck: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # déduplication inter-sources (APRÈS géocodage : coords requises)\n from . import dedup\n stats = dedup.run()\n print(f\"[lou-ka] dedup: {stats}\")\n except Exception as exc:\n print(f\"[lou-ka] dedup: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # juste valeur locative (fair value) — après dedup/geocode/quality\n from . import fairvalue\n fairvalue.compute_all()\n except Exception as exc:\n print(f\"[lou-ka] fairvalue: erreur non bloquante: {exc}\", file=sys.stderr)\n try: # environnement OSM (nouvelles tuiles seulement) + KA Scores\n # incrémentaux des nouveaux immeubles — après géocodage\n from . import environment, kascores\n environment.run(limit=4)\n stats_ks = kascores.run()\n print(f\"[lou-ka] kascores: {stats_ks}\")\n except Exception as exc:\n print(f\"[lou-ka] kascores: erreur non bloquante: {exc}\", file=sys.stderr)\n print(f\"[lou-ka] prochaine synchronisation dans {interval_seconds}s\")\n time.sleep(interval_seconds)\n\n\nif __name__ == \"__main__\":\n run(sys.argv[1:] or None)\n","numLines":146,"startLine":1,"totalLines":146}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfAWHGhmG24kV8At6od","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0155xpZ8D3yqsVzsfYirmUVo","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/run.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5086,"cache_read_input_tokens":35065,"cache_creation":{"ephemeral_5m_input_tokens":5086,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"6d100e7f-4cf5-48e1-bde6-865781247c9c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0155xpZ8D3yqsVzsfYirmUVo","type":"tool_result","content":"1\t#!/usr/bin/env python3\n2\t# -----------------------------------------------------------------------------\n3\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n4\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n5\t# run.py : point d'entrée — `sync`, `watch`, `serve`\n6\t# -----------------------------------------------------------------------------\n7\t\"\"\"Utilisation :\n8\t python run.py sync [source ...] # synchronise les annonces\n9\t python run.py watch [minutes] # synchronise en boucle (défaut 60 min)\n10\t python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n11\t python run.py record # enregistre les fixtures de test d'une source\n12\t python run.py geocode [n] # géocode les annonces sans coordonnées (max n requêtes)\n13\t python run.py poi [n] # commodités de proximité par immeuble (max n requêtes)\n14\t python run.py env [n] # environnement OSM par tuile (socle des KA Scores)\n15\t python run.py kascores [all] # calcule les KA Scores du parc (all = tout recalculer)\n16\t\"\"\"\n17\tfrom __future__ import annotations\n18\t\n19\timport os\n20\timport sys\n21\tfrom pathlib import Path\n22\t\n23\t# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n24\t_env = Path(__file__).parent / \".env\"\n25\tif _env.exists():\n26\t for line in _env.read_text().splitlines():\n27\t line = line.strip()\n28\t if line and not line.startswith(\"#\") and \"=\" in line:\n29\t k, _, v = line.partition(\"=\")\n30\t os.environ.setdefault(k.strip(), v.strip())\n31\t\n32\t\n33\tdef main() -> None:\n34\t cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n35\t if cmd == \"sync\":\n36\t from louka import ingest\n37\t ingest.run(sys.argv[2:] or None)\n38\t elif cmd == \"watch\":\n39\t from louka import ingest\n40\t minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n41\t ingest.watch(minutes * 60)\n42\t elif cmd == \"geocode1\":\n43\t from louka import geocode\n44\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n45\t geocode.run(limit)\n46\t elif cmd == \"geocode\":\n47\t # lot Adresses Québec (rapide) ; « geocode1 » = ancien mode 1-par-1\n48\t from louka import geocode\n49\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n50\t geocode.run_batch(limit)\n51\t elif cmd == \"quality\":\n52\t # (re)calcule le score de complétude + publication/quarantaine\n53\t from louka import quality\n54\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n55\t quality.backfill(limit)\n56\t elif cmd == \"imgaudit\":\n57\t # contrôle qualité des images (liens morts, minuscules, placeholders,\n58\t # doublons) — incrémental : python run.py imgaudit [n_annonces] [source]\n59\t from louka import imgcheck\n60\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else 1500\n61\t src = sys.argv[3] if len(sys.argv) > 3 else None\n62\t imgcheck.run(limit, source=src)\n63\t elif cmd == \"fairvalue\":\n64\t # (re)calcule la juste valeur locative de toutes les annonces publiées\n65\t from louka import fairvalue\n66\t fairvalue.compute_all()\n67\t elif cmd == \"poi\":\n68\t from louka import poi\n69\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n70\t poi.run(limit)\n71\t elif cmd == \"quartier\":\n72\t from louka import quartier\n73\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n74\t quartier.enrich(limit)\n75\t elif cmd == \"env\":\n76\t # données d'environnement OSM par tuile (routes, rails, cyclable,\n77\t # bars, POI complets) — cache ~3 mois, socle des KA Scores\n78\t from louka import environment\n79\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n80\t print(environment.run(limit))\n81\t elif cmd == \"kascores\":\n82\t # (re)calcule les KA Scores (Walk/Transit/Bike/Calme/Services + global)\n83\t # incrémental ; « python run.py kascores all » force tout le parc\n84\t from louka import kascores\n85\t force = len(sys.argv) > 2 and sys.argv[2] == \"all\"\n86\t print(kascores.run(recompute_all=force))\n87\t elif cmd == \"record\":\n88\t from louka import fixtures\n89\t from louka.connectors import CONNECTORS\n90\t targets = sys.argv[2:] or sorted(CONNECTORS)\n91\t for sid in targets:\n92\t try:\n93\t print(f\"[lou-ka] record {sid} ... {fixtures.record(sid)}\")\n94\t except Exception as exc:\n95\t print(f\"[lou-ka] record {sid} ÉCHEC : {exc}\", file=sys.stderr)\n96\t elif cmd == \"serve\":\n97\t import uvicorn\n98\t port = int(sys.argv[2]) if len(sys.argv) > 2 else 8080\n99\t uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=port)\n100\t else:\n101\t print(__doc__)\n102\t sys.exit(1)\n103\t\n104\t\n105\tif __name__ == \"__main__\":\n106\t main()\n107\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"54fc211d-80f8-4d6f-b44c-1a4647fb0ce7","timestamp":"2026-08-22T23:32:30.117Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/run.py","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n python run.py sync [source ...] # synchronise les annonces\n python run.py watch [minutes] # synchronise en boucle (défaut 60 min)\n python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n python run.py record # enregistre les fixtures de test d'une source\n python run.py geocode [n] # géocode les annonces sans coordonnées (max n requêtes)\n python run.py poi [n] # commodités de proximité par immeuble (max n requêtes)\n python run.py env [n] # environnement OSM par tuile (socle des KA Scores)\n python run.py kascores [all] # calcule les KA Scores du parc (all = tout recalculer)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n for line in _env.read_text().splitlines():\n line = line.strip()\n if line and not line.startswith(\"#\") and \"=\" in line:\n k, _, v = line.partition(\"=\")\n os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n if cmd == \"sync\":\n from louka import ingest\n ingest.run(sys.argv[2:] or None)\n elif cmd == \"watch\":\n from louka import ingest\n minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n ingest.watch(minutes * 60)\n elif cmd == \"geocode1\":\n from louka import geocode\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n geocode.run(limit)\n elif cmd == \"geocode\":\n # lot Adresses Québec (rapide) ; « geocode1 » = ancien mode 1-par-1\n from louka import geocode\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n geocode.run_batch(limit)\n elif cmd == \"quality\":\n # (re)calcule le score de complétude + publication/quarantaine\n from louka import quality\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n quality.backfill(limit)\n elif cmd == \"imgaudit\":\n # contrôle qualité des images (liens morts, minuscules, placeholders,\n # doublons) — incrémental : python run.py imgaudit [n_annonces] [source]\n from louka import imgcheck\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else 1500\n src = sys.argv[3] if len(sys.argv) > 3 else None\n imgcheck.run(limit, source=src)\n elif cmd == \"fairvalue\":\n # (re)calcule la juste valeur locative de toutes les annonces publiées\n from louka import fairvalue\n fairvalue.compute_all()\n elif cmd == \"poi\":\n from louka import poi\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n poi.run(limit)\n elif cmd == \"quartier\":\n from louka import quartier\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n quartier.enrich(limit)\n elif cmd == \"env\":\n # données d'environnement OSM par tuile (routes, rails, cyclable,\n # bars, POI complets) — cache ~3 mois, socle des KA Scores\n from louka import environment\n limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n print(environment.run(limit))\n elif cmd == \"kascores\":\n # (re)calcule les KA Scores (Walk/Transit/Bike/Calme/Services + global)\n # incrémental ; « python run.py kascores all » force tout le parc\n from louka import kascores\n force = len(sys.argv) > 2 and sys.argv[2] == \"all\"\n print(kascores.run(recompute_all=force))\n elif cmd == \"record\":\n from louka import fixtures\n from louka.connectors import CONNECTORS\n targets = sys.argv[2:] or sorted(CONNECTORS)\n for sid in targets:\n try:\n print(f\"[lou-ka] record {sid} ... {fixtures.record(sid)}\")\n except Exception as exc:\n print(f\"[lou-ka] record {sid} ÉCHEC : {exc}\", file=sys.stderr)\n elif cmd == \"serve\":\n import uvicorn\n port = int(sys.argv[2]) if len(sys.argv) > 2 else 8080\n uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=port)\n else:\n print(__doc__)\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n","numLines":107,"startLine":1,"totalLines":107}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f4d2cdf7-9ad1-4d39-906e-2f90c25ebce6","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfEpWkPr1vVZXkJv36N","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":13137,"cache_read_input_tokens":40151,"cache_creation":{"ephemeral_5m_input_tokens":13137,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"f16e9db1-cd6c-4f45-909a-49e0a2ff5705"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfEpWkPr1vVZXkJv36N","type":"message","role":"assistant","content":[{"type":"text","text":"Je lis maintenant le schéma Listing, la couche DB, le registre des connecteurs et le web/frontend."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":13137,"cache_read_input_tokens":40151,"cache_creation":{"ephemeral_5m_input_tokens":13137,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"a49c9fda-78f0-44c5-9a66-7078c8d81b9a"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfEpWkPr1vVZXkJv36N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VkUzpCzmMsKJDrKyn8yZaW","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/schema.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":13137,"cache_read_input_tokens":40151,"cache_creation":{"ephemeral_5m_input_tokens":13137,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"d6c027c5-ea7f-47ae-b47e-1ed4f5183adb"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VkUzpCzmMsKJDrKyn8yZaW","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# schema.py : modèle de données standardisé (Listing) + enrichissement central\n5\t# -----------------------------------------------------------------------------\n6\t\"\"\"Schéma standard d'une annonce (Listing) et normalisation des champs.\n7\t\n8\tChaque connecteur, peu importe le site source, doit produire des objets\n9\t`Listing` conformes à ce schéma. La méthode `finalize()` applique ensuite\n10\tla couche de normalisation commune (louka/normalize.py) : dates ISO,\n11\tsuperficie en pi², commodités canoniques, prix… — les connecteurs peuvent\n12\tdonc rester simples et remplir les champs bruts.\n13\t\"\"\"\n14\tfrom __future__ import annotations\n15\t\n16\timport hashlib\n17\timport json\n18\tfrom dataclasses import dataclass, field, asdict\n19\t\n20\tfrom .normalize import ( # ré-exportés pour les connecteurs existants\n21\t bedrooms_from_unit_type,\n22\t clean_address,\n23\t clean_city,\n24\t clean_sector,\n25\t coerce_count,\n26\t extract_details,\n27\t merge_details,\n28\t normalize_unit_type,\n29\t parse_area_sqft,\n30\t parse_availability_date,\n31\t parse_bathrooms,\n32\t parse_bedrooms,\n33\t parse_price,\n34\t price_is_from,\n35\t strip_accents,\n36\t)\n37\t\n38\t__all__ = [\n39\t \"Listing\", \"infer_city\", \"normalize_unit_type\", \"parse_price\",\n40\t \"parse_availability_date\", \"parse_area_sqft\", \"clean_address\",\n41\t \"strip_accents\",\n42\t]\n43\t\n44\t\n45\t@dataclass\n46\tclass Listing:\n47\t \"\"\"Annonce standardisée Lou-Ka.\"\"\"\n48\t\n49\t source: str # id de la source (voir data/sources.json)\n50\t external_id: str # identifiant chez la source\n51\t url: str # page de l'annonce chez la source\n52\t title: str = \"\" # ex. \"555, avenue du Fleuve\"\n53\t address: str = \"\" # adresse civique\n54\t sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n55\t city: str = \"\" # Québec, Lévis, ...\n56\t unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n57\t bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n58\t bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n59\t price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n60\t price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n61\t availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n62\t availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n63\t area_sqft: float | None = None # superficie en pi²\n64\t pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n65\t furnished: bool | None = None # meublé (None = inconnu)\n66\t description: str = \"\"\n67\t digest: dict | None = None # description structurée (louka/textmine.py)\n68\t amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n69\t details: dict = field(default_factory=dict) # champs structurés (JSON)\n70\t images: list[str] = field(default_factory=list) # URLs absolues\n71\t lat: float | None = None\n72\t lng: float | None = None\n73\t\n74\t @property\n75\t def uid(self) -> str:\n76\t return f\"{self.source}:{self.external_id}\"\n77\t\n78\t def content_hash(self) -> str:\n79\t \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n80\t payload = asdict(self)\n81\t blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n82\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n83\t\n84\t def finalize(self) -> \"Listing\":\n85\t \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n86\t\n87\t Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n88\t \"\"\"\n89\t import html as _html\n90\t self.title = _html.unescape(self.title).strip()\n91\t self.address = clean_address(_html.unescape(self.address))\n92\t self.sector = clean_sector(self.sector)\n93\t self.city = clean_city(self.city)\n94\t self.unit_type = normalize_unit_type(self.unit_type)\n95\t\n96\t if self.price is None:\n97\t self.price = parse_price(self.price_label)\n98\t if self.availability_date is None:\n99\t self.availability_date = parse_availability_date(self.availability)\n100\t if self.area_sqft is None:\n101\t for texte in (self.description, \" \".join(self.amenities), self.title):\n102\t self.area_sqft = parse_area_sqft(texte)\n103\t if self.area_sqft is not None:\n104\t break\n105\t\n106\t # coordonnées fournies par la source : rejeter tout point hors de la\n107\t # province (lat/lng inversés, 0/0, coquilles) — le géocodeur prendra\n108\t # le relais sur l'adresse plutôt que d'afficher un point au Kazakhstan\n109\t if self.lat is not None and self.lng is not None:\n110\t if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n111\t self.lat = self.lng = None\n112\t\n113\t derived = extract_details(self.amenities, self.description, self.title)\n114\t if self.price_label and price_is_from(self.price_label):\n115\t derived[\"price_from\"] = True\n116\t self.details = merge_details(self.details, derived)\n117\t\n118\t # chambres / salles de bain : valeur explicite du connecteur d'abord,\n119\t # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n120\t # puis extraction texte — jamais de valeur inventée (None = inconnu)\n121\t if self.bedrooms is None:\n122\t for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n123\t self.bedrooms = coerce_count(self.details.get(k))\n124\t if self.bedrooms is not None:\n125\t break\n126\t if self.bedrooms is None:\n127\t self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n128\t if self.bedrooms is None:\n129\t self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n130\t self.description)\n131\t if self.bathrooms is None:\n132\t for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n133\t \"Salle(s) de bain\"):\n134\t self.bathrooms = coerce_count(self.details.get(k))\n135\t if self.bathrooms is not None:\n136\t break\n137\t if self.bathrooms is None:\n138\t self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n139\t self.description)\n140\t\n141\t # description structurée (nettoyage + extraction + sections)\n142\t if self.digest is None and self.description:\n143\t try:\n144\t from .textmine import analyser\n145\t self.digest = analyser(self.description, price=self.price,\n146\t sector=self.sector, city=self.city)\n147\t except ImportError:\n148\t pass # module absent : la fiche affichera le texte brut\n149\t\n150\t if self.pets is None:\n151\t self.pets = self.details.get(\"pets\")\n152\t else:\n153\t self.details[\"pets\"] = self.pets\n154\t if self.furnished is None:\n155\t furn = self.details.get(\"furnished\")\n156\t self.furnished = furn if isinstance(furn, bool) else None\n157\t else:\n158\t self.details[\"furnished\"] = self.furnished\n159\t return self\n160\t\n161\t\n162\t# ---------------------------------------------------------------------------\n163\t# Secteur -> ville (agglomération Québec / Lévis)\n164\t# ---------------------------------------------------------------------------\n165\t\n166\t_LEVIS_SECTORS = {\n167\t \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n168\t \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n169\t \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n170\t \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n171\t}\n172\t\n173\t\n174\tdef infer_city(sector: str, default: str = \"Québec\") -> str:\n175\t key = strip_accents((sector or \"\").strip().lower())\n176\t if key in _LEVIS_SECTORS or \"levis\" in key:\n177\t return \"Lévis\"\n178\t return default\n179\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"2bcb061c-7acd-4d3e-b52b-f2a6c379c33a","timestamp":"2026-08-22T23:32:36.760Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/schema.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# schema.py : modèle de données standardisé (Listing) + enrichissement central\n# -----------------------------------------------------------------------------\n\"\"\"Schéma standard d'une annonce (Listing) et normalisation des champs.\n\nChaque connecteur, peu importe le site source, doit produire des objets\n`Listing` conformes à ce schéma. La méthode `finalize()` applique ensuite\nla couche de normalisation commune (louka/normalize.py) : dates ISO,\nsuperficie en pi², commodités canoniques, prix… — les connecteurs peuvent\ndonc rester simples et remplir les champs bruts.\n\"\"\"\nfrom __future__ import annotations\n\nimport hashlib\nimport json\nfrom dataclasses import dataclass, field, asdict\n\nfrom .normalize import ( # ré-exportés pour les connecteurs existants\n bedrooms_from_unit_type,\n clean_address,\n clean_city,\n clean_sector,\n coerce_count,\n extract_details,\n merge_details,\n normalize_unit_type,\n parse_area_sqft,\n parse_availability_date,\n parse_bathrooms,\n parse_bedrooms,\n parse_price,\n price_is_from,\n strip_accents,\n)\n\n__all__ = [\n \"Listing\", \"infer_city\", \"normalize_unit_type\", \"parse_price\",\n \"parse_availability_date\", \"parse_area_sqft\", \"clean_address\",\n \"strip_accents\",\n]\n\n\n@dataclass\nclass Listing:\n \"\"\"Annonce standardisée Lou-Ka.\"\"\"\n\n source: str # id de la source (voir data/sources.json)\n external_id: str # identifiant chez la source\n url: str # page de l'annonce chez la source\n title: str = \"\" # ex. \"555, avenue du Fleuve\"\n address: str = \"\" # adresse civique\n sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n city: str = \"\" # Québec, Lévis, ...\n unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n area_sqft: float | None = None # superficie en pi²\n pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n furnished: bool | None = None # meublé (None = inconnu)\n description: str = \"\"\n digest: dict | None = None # description structurée (louka/textmine.py)\n amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n details: dict = field(default_factory=dict) # champs structurés (JSON)\n images: list[str] = field(default_factory=list) # URLs absolues\n lat: float | None = None\n lng: float | None = None\n\n @property\n def uid(self) -> str:\n return f\"{self.source}:{self.external_id}\"\n\n def content_hash(self) -> str:\n \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n payload = asdict(self)\n blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n\n def finalize(self) -> \"Listing\":\n \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n\n Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n \"\"\"\n import html as _html\n self.title = _html.unescape(self.title).strip()\n self.address = clean_address(_html.unescape(self.address))\n self.sector = clean_sector(self.sector)\n self.city = clean_city(self.city)\n self.unit_type = normalize_unit_type(self.unit_type)\n\n if self.price is None:\n self.price = parse_price(self.price_label)\n if self.availability_date is None:\n self.availability_date = parse_availability_date(self.availability)\n if self.area_sqft is None:\n for texte in (self.description, \" \".join(self.amenities), self.title):\n self.area_sqft = parse_area_sqft(texte)\n if self.area_sqft is not None:\n break\n\n # coordonnées fournies par la source : rejeter tout point hors de la\n # province (lat/lng inversés, 0/0, coquilles) — le géocodeur prendra\n # le relais sur l'adresse plutôt que d'afficher un point au Kazakhstan\n if self.lat is not None and self.lng is not None:\n if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n self.lat = self.lng = None\n\n derived = extract_details(self.amenities, self.description, self.title)\n if self.price_label and price_is_from(self.price_label):\n derived[\"price_from\"] = True\n self.details = merge_details(self.details, derived)\n\n # chambres / salles de bain : valeur explicite du connecteur d'abord,\n # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n # puis extraction texte — jamais de valeur inventée (None = inconnu)\n if self.bedrooms is None:\n for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n self.bedrooms = coerce_count(self.details.get(k))\n if self.bedrooms is not None:\n break\n if self.bedrooms is None:\n self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n if self.bedrooms is None:\n self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n self.description)\n if self.bathrooms is None:\n for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n \"Salle(s) de bain\"):\n self.bathrooms = coerce_count(self.details.get(k))\n if self.bathrooms is not None:\n break\n if self.bathrooms is None:\n self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n self.description)\n\n # description structurée (nettoyage + extraction + sections)\n if self.digest is None and self.description:\n try:\n from .textmine import analyser\n self.digest = analyser(self.description, price=self.price,\n sector=self.sector, city=self.city)\n except ImportError:\n pass # module absent : la fiche affichera le texte brut\n\n if self.pets is None:\n self.pets = self.details.get(\"pets\")\n else:\n self.details[\"pets\"] = self.pets\n if self.furnished is None:\n furn = self.details.get(\"furnished\")\n self.furnished = furn if isinstance(furn, bool) else None\n else:\n self.details[\"furnished\"] = self.furnished\n return self\n\n\n# ---------------------------------------------------------------------------\n# Secteur -> ville (agglomération Québec / Lévis)\n# ---------------------------------------------------------------------------\n\n_LEVIS_SECTORS = {\n \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n}\n\n\ndef infer_city(sector: str, default: str = \"Québec\") -> str:\n key = strip_accents((sector or \"\").strip().lower())\n if key in _LEVIS_SECTORS or \"levis\" in key:\n return \"Lévis\"\n return default\n","numLines":179,"startLine":1,"totalLines":179}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfEpWkPr1vVZXkJv36N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UAZFMJjXu6bjwx7aSBij1c","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/db.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":13137,"cache_read_input_tokens":40151,"cache_creation":{"ephemeral_5m_input_tokens":13137,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"65ff02ba-bdb3-4be6-9288-1f5491ae7e81"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UAZFMJjXu6bjwx7aSBij1c","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# db.py : persistance SQLite — upsert avec détection de changements,\n5\t# cycle de vie avec délai de grâce (2 syncs), détection de dérive,\n6\t# cache des pages détail, cache de géocodage.\n7\t# -----------------------------------------------------------------------------\n8\tfrom __future__ import annotations\n9\t\n10\timport json\n11\timport sqlite3\n12\timport statistics\n13\timport time\n14\tfrom pathlib import Path\n15\t\n16\tfrom .schema import Listing\n17\t\n18\tDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"\n19\t\n20\t# Nombre d'exécutions consécutives où une annonce doit être absente de la\n21\t# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).\n22\tMISS_GRACE = 2\n23\t\n24\t# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique\n25\t# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.\n26\tDRIFT_RATIO = 0.25\n27\tDRIFT_MIN_BASE = 8\n28\tDRIFT_HISTORY = 5\n29\t\n30\t_SCHEMA = \"\"\"\n31\tCREATE TABLE IF NOT EXISTS listings (\n32\t uid TEXT PRIMARY KEY,\n33\t source TEXT NOT NULL,\n34\t external_id TEXT NOT NULL,\n35\t url TEXT,\n36\t title TEXT,\n37\t address TEXT,\n38\t sector TEXT,\n39\t city TEXT,\n40\t unit_type TEXT,\n41\t bedrooms REAL,\n42\t bathrooms REAL,\n43\t price REAL,\n44\t price_label TEXT,\n45\t availability TEXT,\n46\t availability_date TEXT,\n47\t area_sqft REAL,\n48\t pets TEXT,\n49\t furnished INTEGER,\n50\t description TEXT,\n51\t amenities TEXT, -- JSON (liste de textes source)\n52\t details TEXT, -- JSON (champs structurés : inclusions, parking…)\n53\t images TEXT, -- JSON\n54\t lat REAL,\n55\t lng REAL,\n56\t geocode_failed INTEGER DEFAULT 0,\n57\t content_hash TEXT,\n58\t first_seen REAL,\n59\t last_seen REAL,\n60\t updated_at REAL,\n61\t miss_count INTEGER DEFAULT 0,\n62\t active INTEGER DEFAULT 1\n63\t);\n64\tCREATE INDEX IF NOT EXISTS idx_listings_source ON listings(source);\n65\tCREATE INDEX IF NOT EXISTS idx_listings_city ON listings(city);\n66\tCREATE INDEX IF NOT EXISTS idx_listings_active ON listings(active);\n67\tCREATE INDEX IF NOT EXISTS idx_listings_geo ON listings(lat, lng);\n68\t\n69\tCREATE TABLE IF NOT EXISTS sync_log (\n70\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n71\t source TEXT,\n72\t ts REAL,\n73\t found INTEGER,\n74\t added INTEGER,\n75\t updated INTEGER,\n76\t removed INTEGER,\n77\t ok INTEGER,\n78\t message TEXT,\n79\t stats TEXT -- JSON : taux de champs null, missed, alerte…\n80\t);\n81\t\n82\tCREATE TABLE IF NOT EXISTS detail_cache (\n83\t source TEXT NOT NULL,\n84\t external_id TEXT NOT NULL,\n85\t key TEXT, -- hash du contenu « liste » de l'annonce\n86\t payload TEXT, -- JSON opaque propre au connecteur\n87\t fetched_at REAL,\n88\t PRIMARY KEY (source, external_id)\n89\t);\n90\t\n91\tCREATE TABLE IF NOT EXISTS price_log (\n92\t uid TEXT NOT NULL,\n93\t ts REAL NOT NULL,\n94\t price REAL -- prix observé (NULL = retiré de l'affichage)\n95\t);\n96\tCREATE INDEX IF NOT EXISTS idx_price_log_uid ON price_log(uid);\n97\t\n98\tCREATE TABLE IF NOT EXISTS poi_cache (\n99\t coord_key TEXT PRIMARY KEY, -- \"lat,lng\" arrondi à 4 décimales (~11 m)\n100\t lat REAL,\n101\t lng REAL,\n102\t pois TEXT, -- JSON : [{cat, name, dist_m}] (plus proche/catégorie)\n103\t ts REAL\n104\t);\n105\t\n106\tCREATE TABLE IF NOT EXISTS geocode_cache (\n107\t address TEXT PRIMARY KEY, -- adresse normalisée (clé de cache)\n108\t lat REAL,\n109\t lng REAL,\n110\t provider TEXT,\n111\t failed INTEGER DEFAULT 0,\n112\t ts REAL\n113\t);\n114\t\n115\tCREATE TABLE IF NOT EXISTS users (\n116\t id INTEGER PRIMARY KEY AUTOINCREMENT,\n117\t google_sub TEXT UNIQUE, -- identifiant stable Google (OpenID « sub »)\n118\t ka_id TEXT, -- identifiant membre « ka-0123456789 » (unique)\n119\t email TEXT,\n120\t name TEXT,\n121\t picture TEXT, -- URL de l'avatar Google\n122\t public INTEGER DEFAULT 0, -- profil public /u/{ka_id} (opt-in)\n123\t role TEXT, -- « locataire » | « gestionnaire » | NULL\n124\t org_source TEXT, -- source réclamée (gestionnaire)\n125\t created_at REAL,\n126\t last_login REAL\n127\t);\n128\t\n129\tCREATE TABLE IF NOT EXISTS favorites (\n130\t user_id INTEGER NOT NULL,\n131\t uid TEXT NOT NULL, -- listings.uid\n132\t ts REAL,\n133\t PRIMARY KEY (user_id, uid)\n134\t);\n135\t\n136\tCREATE TABLE IF NOT EXISTS image_checks (\n137\t url TEXT PRIMARY KEY, -- URL d'image vérifiée (imgcheck.py)\n138\t status TEXT, -- ok | dead | small | error\n139\t width INTEGER,\n140\t height INTEGER,\n141\t bytes INTEGER,\n142\t sha1 TEXT, -- hash du contenu (doublons / placeholders)\n143\t checked_at REAL\n144\t);\n145\t\n146\tCREATE TABLE IF NOT EXISTS env_tiles (\n147\t tile_key TEXT PRIMARY KEY, -- « ty,tx » (tuiles 0,5° — voir poi.py/environment.py)\n148\t data TEXT, -- JSON : routes/rails/aéro/industriel/bars/cyclable/POI\n149\t fetched_at REAL\n150\t);\n151\t\n152\tCREATE TABLE IF NOT EXISTS kascores (\n153\t coord_key TEXT PRIMARY KEY, -- « lat,lng » arrondi à 4 décimales (immeuble)\n154\t lat REAL, lng REAL,\n155\t walk REAL, -- KA Walk Score 0-100 (NULL = données insuffisantes)\n156\t transit REAL, -- KA Transit Score (NULL = non desservi/inconnu)\n157\t bike REAL,\n158\t calme REAL,\n159\t services REAL,\n160\t global REAL, -- moyenne pondérée par défaut (voir kascores.py)\n161\t details TEXT, -- JSON : détail par score (fiche + méthodologie)\n162\t version TEXT, -- version du barème (recalcul si changement)\n163\t computed_at REAL\n164\t);\n165\t\n166\tCREATE TABLE IF NOT EXISTS source_profiles (\n167\t source_id TEXT PRIMARY KEY, -- id de la source (data/sources.json)\n168\t owner_user_id INTEGER, -- gestionnaire qui a réclamé la page\n169\t tagline TEXT, -- accroche personnalisée\n170\t description TEXT,\n171\t website TEXT,\n172\t phone TEXT,\n173\t email TEXT,\n174\t logo_url TEXT,\n175\t updated_at REAL\n176\t);\n177\t\"\"\"\n178\t\n179\t# Colonnes ajoutées après la v1 — migration automatique des bases existantes.\n180\t_MIGRATIONS = {\n181\t \"listings\": {\n182\t \"availability_date\": \"TEXT\",\n183\t \"area_sqft\": \"REAL\",\n184\t \"pets\": \"TEXT\",\n185\t \"furnished\": \"INTEGER\",\n186\t \"details\": \"TEXT\",\n187\t \"geocode_failed\": \"INTEGER DEFAULT 0\",\n188\t \"miss_count\": \"INTEGER DEFAULT 0\",\n189\t \"dauid\": \"TEXT\", # aire de diffusion 2021 (stats de quartier)\n190\t \"digest\": \"TEXT\", # JSON louka/textmine.py (description structurée)\n191\t \"dup_of\": \"TEXT\", # uid de l'annonce canonique si doublon inter-sources\n192\t \"dup_sources\": \"TEXT\", # JSON : autres sources où l'annonce est publiée\n193\t \"bedrooms\": \"REAL\", # chambres fermées (convention QC : 4½ = 2)\n194\t \"bathrooms\": \"REAL\", # salles de bain (1.5 = salle d'eau en plus)\n195\t \"completeness\": \"REAL\", # score de complétude 0–100 (quality.py)\n196\t \"published\": \"INTEGER DEFAULT 1\", # 0 = quarantaine (sous le seuil)\n197\t \"quality_reasons\": \"TEXT\", # JSON : raisons de la quarantaine\n198\t \"images_ok\": \"TEXT\", # JSON : galerie nettoyée (imgcheck.py)\n199\t \"img_audit\": \"TEXT\", # JSON : traçabilité du contrôle images\n200\t \"coord_key\": \"TEXT\", # clé immeuble « lat,lng » 4 déc. (jointure kascores)\n201\t },\n202\t \"sync_log\": {\n203\t \"stats\": \"TEXT\",\n204\t },\n205\t \"users\": {\n206\t \"ka_id\": \"TEXT\",\n207\t \"public\": \"INTEGER DEFAULT 0\",\n208\t \"role\": \"TEXT\",\n209\t \"org_source\": \"TEXT\",\n210\t \"display_name\": \"TEXT\", # nom choisi (prime sur le nom Google)\n211\t \"avatar_url\": \"TEXT\", # photo téléversée (prime sur picture)\n212\t \"bio\": \"TEXT\",\n213\t \"city\": \"TEXT\",\n214\t \"phone\": \"TEXT\",\n215\t \"website\": \"TEXT\",\n216\t \"socials\": \"TEXT\", # JSON {instagram, facebook, x, linkedin…}\n217\t },\n218\t}\n219\t\n220\t\n221\tdef connect() -> sqlite3.Connection:\n222\t DB_PATH.parent.mkdir(parents=True, exist_ok=True)\n223\t con = sqlite3.connect(DB_PATH)\n224\t con.row_factory = sqlite3.Row\n225\t con.executescript(_SCHEMA)\n226\t for table, cols in _MIGRATIONS.items():\n227\t existing = {r[\"name\"] for r in con.execute(f\"PRAGMA table_info({table})\")}\n228\t for col, decl in cols.items():\n229\t if col not in existing:\n230\t con.execute(f\"ALTER TABLE {table} ADD COLUMN {col} {decl}\")\n231\t # index sur des colonnes de migration : APRÈS les ALTER TABLE (une base\n232\t # antérieure n'a pas encore la colonne au moment du CREATE INDEX)\n233\t con.execute(\"CREATE UNIQUE INDEX IF NOT EXISTS users_ka_id ON users(ka_id)\")\n234\t con.execute(\"CREATE INDEX IF NOT EXISTS idx_listings_pub\"\n235\t \" ON listings(active, published)\")\n236\t con.execute(\"CREATE INDEX IF NOT EXISTS idx_listings_coord\"\n237\t \" ON listings(coord_key)\")\n238\t con.commit()\n239\t # WAL : lectures (web) et écritures (sync, imgcheck) concurrentes sans\n240\t # verrou global ; busy_timeout évite les « database is locked » ponctuels.\n241\t con.execute(\"PRAGMA journal_mode=WAL\")\n242\t con.execute(\"PRAGMA busy_timeout=30000\")\n243\t return con\n244\t\n245\t\n246\t# ---------------------------------------------------------------------------\n247\t# Synchronisation d'une source\n248\t# ---------------------------------------------------------------------------\n249\t\n250\tdef _drift_alert(con: sqlite3.Connection, source: str, found: int,\n251\t null_price_rate: float) -> str | None:\n252\t \"\"\"Détecte une dérive du connecteur (chute du volume ou des prix extraits).\n253\t\n254\t Retourne un message d'alerte, ou None si tout est normal.\n255\t \"\"\"\n256\t hist = con.execute(\n257\t \"SELECT found, stats FROM sync_log WHERE source=? AND ok=1\"\n258\t \" ORDER BY ts DESC LIMIT ?\", (source, DRIFT_HISTORY)).fetchall()\n259\t if len(hist) < 3:\n260\t return None\n261\t med_found = statistics.median(r[\"found\"] for r in hist)\n262\t if med_found >= DRIFT_MIN_BASE and found <= DRIFT_RATIO * med_found:\n263\t return (f\"dérive: {found} annonce(s) trouvée(s) contre une médiane de \"\n264\t f\"{med_found:.0f} — retraits suspendus, vérifier le connecteur\")\n265\t if found >= DRIFT_MIN_BASE and null_price_rate >= 0.8:\n266\t rates = []\n267\t for r in hist:\n268\t try:\n269\t rates.append(json.loads(r[\"stats\"] or \"{}\")[\"null_price_rate\"])\n270\t except (KeyError, ValueError, TypeError):\n271\t continue\n272\t if rates and statistics.median(rates) <= 0.3:\n273\t return (f\"dérive: {null_price_rate:.0%} des annonces sans prix \"\n274\t f\"(habituellement {statistics.median(rates):.0%}) — \"\n275\t \"le format de la source a probablement changé\")\n276\t return None\n277\t\n278\t\n279\tdef sync_source(con: sqlite3.Connection, source: str,\n280\t listings: list[Listing]) -> dict:\n281\t \"\"\"Synchronise les annonces d'une source.\n282\t\n283\t - nouvelle annonce -> insertion\n284\t - annonce modifiée -> mise à jour (comparaison de content_hash)\n285\t - annonce disparue -> miss_count += 1, puis active=0 après MISS_GRACE\n286\t exécutions consécutives (délai de grâce)\n287\t - dérive détectée -> alerte consignée, retraits suspendus\n288\t \"\"\"\n289\t now = time.time()\n290\t added = updated = 0\n291\t seen_uids = set()\n292\t\n293\t n = len(listings)\n294\t null_price = sum(1 for l in listings if l.price is None)\n295\t null_addr = sum(1 for l in listings if not l.address)\n296\t null_price_rate = round(null_price / n, 3) if n else 0.0\n297\t\n298\t alert = _drift_alert(con, source, n, null_price_rate)\n299\t\n300\t for lst in listings:\n301\t seen_uids.add(lst.uid)\n302\t h = lst.content_hash()\n303\t row = con.execute(\n304\t \"SELECT content_hash, price, images FROM listings WHERE uid=?\",\n305\t (lst.uid,)).fetchone()\n306\t # score de complétude + seuil de publication (quarantaine sous le seuil)\n307\t from .quality import evaluate\n308\t q_score, q_pub, q_reasons = evaluate({\n309\t \"title\": lst.title,\n310\t \"price\": lst.price, \"address\": lst.address, \"city\": lst.city,\n311\t \"sector\": lst.sector, \"lat\": lst.lat, \"lng\": lst.lng,\n312\t \"description\": lst.description, \"images\": lst.images,\n313\t \"unit_type\": lst.unit_type, \"bedrooms\": lst.bedrooms,\n314\t \"bathrooms\": lst.bathrooms, \"availability\": lst.availability,\n315\t \"availability_date\": lst.availability_date,\n316\t \"area_sqft\": lst.area_sqft, \"amenities\": lst.amenities,\n317\t \"details\": lst.details, \"url\": lst.url})\n318\t params = dict(\n319\t uid=lst.uid, source=lst.source, external_id=lst.external_id,\n320\t url=lst.url, title=lst.title, address=lst.address,\n321\t sector=lst.sector, city=lst.city, unit_type=lst.unit_type,\n322\t bedrooms=lst.bedrooms, bathrooms=lst.bathrooms,\n323\t price=lst.price, price_label=lst.price_label,\n324\t availability=lst.availability,\n325\t availability_date=lst.availability_date,\n326\t area_sqft=lst.area_sqft, pets=lst.pets,\n327\t furnished=(None if lst.furnished is None else int(lst.furnished)),\n328\t description=lst.description,\n329\t digest=(json.dumps(lst.digest, ensure_ascii=False)\n330\t if getattr(lst, \"digest\", None) else None),\n331\t amenities=json.dumps(lst.amenities, ensure_ascii=False),\n332\t details=json.dumps(lst.details, ensure_ascii=False),\n333\t images=json.dumps(lst.images, ensure_ascii=False),\n334\t lat=lst.lat, lng=lst.lng, content_hash=h, now=now,\n335\t completeness=q_score, published=int(q_pub),\n336\t quality_reasons=(json.dumps(q_reasons, ensure_ascii=False)\n337\t if q_reasons else None),\n338\t )\n339\t if row is None:\n340\t con.execute(\n341\t \"\"\"INSERT INTO listings (uid, source, external_id, url, title,\n342\t address, sector, city, unit_type, bedrooms, bathrooms,\n343\t price, price_label,\n344\t availability, availability_date, area_sqft, pets, furnished,\n345\t description, digest, amenities, details, images, lat, lng,\n346\t content_hash, first_seen, last_seen, updated_at,\n347\t miss_count, active, completeness, published,\n348\t quality_reasons)\n349\t VALUES (:uid,:source,:external_id,:url,:title,:address,\n350\t :sector,:city,:unit_type,:bedrooms,:bathrooms,\n351\t :price,:price_label,:availability,\n352\t :availability_date,:area_sqft,:pets,:furnished,\n353\t :description,:digest,:amenities,:details,:images,:lat,:lng,\n354\t :content_hash,:now,:now,:now,0,1,\n355\t :completeness,:published,:quality_reasons)\"\"\", params)\n356\t if lst.price is not None: # prix initial = point de départ de l'historique\n357\t con.execute(\"INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)\",\n358\t (lst.uid, now, lst.price))\n359\t added += 1\n360\t elif row[\"content_hash\"] != h:\n361\t # COALESCE : ne jamais écraser des coordonnées géocodées par null\n362\t con.execute(\n363\t \"\"\"UPDATE listings SET url=:url, title=:title,\n364\t address=:address, sector=:sector, city=:city,\n365\t unit_type=:unit_type, bedrooms=:bedrooms,\n366\t bathrooms=:bathrooms, price=:price,\n367\t price_label=:price_label, availability=:availability,\n368\t availability_date=:availability_date,\n369\t area_sqft=:area_sqft, pets=:pets, furnished=:furnished,\n370\t description=:description, digest=:digest,\n371\t amenities=:amenities, details=:details, images=:images,\n372\t lat=COALESCE(:lat, lat), lng=COALESCE(:lng, lng),\n373\t content_hash=:content_hash, last_seen=:now,\n374\t updated_at=:now, miss_count=0, active=1,\n375\t completeness=:completeness, published=:published,\n376\t quality_reasons=:quality_reasons\n377\t WHERE uid=:uid\"\"\", params)\n378\t if (row[\"images\"] or \"[]\") != params[\"images\"]:\n379\t # galerie modifiée : invalider l'audit d'images (imgcheck.py)\n380\t con.execute(\"UPDATE listings SET images_ok=NULL, img_audit=NULL\"\n381\t \" WHERE uid=?\", (lst.uid,))\n382\t if lst.price != row[\"price\"]: # changement de prix -> historique\n383\t con.execute(\"INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)\",\n384\t (lst.uid, now, lst.price))\n385\t updated += 1\n386\t else:\n387\t con.execute(\n388\t \"UPDATE listings SET last_seen=?, miss_count=0, active=1 WHERE uid=?\",\n389\t (now, lst.uid))\n390\t\n391\t # Annonces de cette source qui n'apparaissent plus : délai de grâce,\n392\t # puis désactivation. Suspendu si une dérive est détectée.\n393\t removed = missed = 0\n394\t if not alert:\n395\t for r in con.execute(\n396\t \"SELECT uid, miss_count FROM listings WHERE source=? AND active=1\",\n397\t (source,)).fetchall():\n398\t if r[\"uid\"] in seen_uids:\n399\t continue\n400\t missed += 1\n401\t if r[\"miss_count\"] + 1 >= MISS_GRACE:\n402\t con.execute(\n403\t \"UPDATE listings SET active=0, miss_count=?, updated_at=?\"\n404\t \" WHERE uid=?\", (r[\"miss_count\"] + 1, now, r[\"uid\"]))\n405\t removed += 1\n406\t else:\n407\t con.execute(\"UPDATE listings SET miss_count=miss_count+1 WHERE uid=?\",\n408\t (r[\"uid\"],))\n409\t\n410\t stats = {\n411\t \"null_price_rate\": null_price_rate,\n412\t \"null_address_rate\": round(null_addr / n, 3) if n else 0.0,\n413\t \"missed\": missed,\n414\t }\n415\t if alert:\n416\t stats[\"alert\"] = alert\n417\t con.execute(\n418\t \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,\"\n419\t \" message, stats) VALUES (?,?,?,?,?,?,1,?,?)\",\n420\t (source, now, n, added, updated, removed, alert or \"ok\",\n421\t json.dumps(stats, ensure_ascii=False)))\n422\t con.commit()\n423\t out = {\"source\": source, \"found\": n, \"added\": added,\n424\t \"updated\": updated, \"removed\": removed}\n425\t if alert:\n426\t out[\"alert\"] = alert\n427\t return out\n428\t\n429\t\n430\tdef log_failure(con: sqlite3.Connection, source: str, message: str) -> None:\n431\t con.execute(\n432\t \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)\"\n433\t \" VALUES (?,?,0,0,0,0,0,?)\", (source, time.time(), message))\n434\t con.commit()\n435\t\n436\t\n437\t# ---------------------------------------------------------------------------\n438\t# Cache des pages détail (« détail si nouveau/modifié »)\n439\t# ---------------------------------------------------------------------------\n440\t\n441\tdef get_cached_detail(con: sqlite3.Connection, source: str,\n442\t external_id: str, key: str) -> dict | None:\n443\t \"\"\"Payload détail mis en cache si la clé (hash liste) n'a pas changé.\"\"\"\n444\t row = con.execute(\n445\t \"SELECT key, payload FROM detail_cache WHERE source=? AND external_id=?\",\n446\t (source, external_id)).fetchone()\n447\t if row and row[\"key\"] == key and row[\"payload\"]:\n448\t try:\n449\t return json.loads(row[\"payload\"])\n450\t except ValueError:\n451\t return None\n452\t return None\n453\t\n454\t\n455\tdef put_cached_detail(con: sqlite3.Connection, source: str,\n456\t external_id: str, key: str, payload: dict) -> None:\n457\t con.execute(\n458\t \"INSERT INTO detail_cache (source, external_id, key, payload, fetched_at)\"\n459\t \" VALUES (?,?,?,?,?)\"\n460\t \" ON CONFLICT(source, external_id) DO UPDATE SET\"\n461\t \" key=excluded.key, payload=excluded.payload, fetched_at=excluded.fetched_at\",\n462\t (source, external_id, key, json.dumps(payload, ensure_ascii=False),\n463\t time.time()))\n464\t con.commit()\n465\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"d37c547c-c695-4f1d-ad1c-ab925a03c3f7","timestamp":"2026-08-22T23:32:37.366Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/db.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# db.py : persistance SQLite — upsert avec détection de changements,\n# cycle de vie avec délai de grâce (2 syncs), détection de dérive,\n# cache des pages détail, cache de géocodage.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport statistics\nimport time\nfrom pathlib import Path\n\nfrom .schema import Listing\n\nDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"\n\n# Nombre d'exécutions consécutives où une annonce doit être absente de la\n# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).\nMISS_GRACE = 2\n\n# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique\n# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.\nDRIFT_RATIO = 0.25\nDRIFT_MIN_BASE = 8\nDRIFT_HISTORY = 5\n\n_SCHEMA = \"\"\"\nCREATE TABLE IF NOT EXISTS listings (\n uid TEXT PRIMARY KEY,\n source TEXT NOT NULL,\n external_id TEXT NOT NULL,\n url TEXT,\n title TEXT,\n address TEXT,\n sector TEXT,\n city TEXT,\n unit_type TEXT,\n bedrooms REAL,\n bathrooms REAL,\n price REAL,\n price_label TEXT,\n availability TEXT,\n availability_date TEXT,\n area_sqft REAL,\n pets TEXT,\n furnished INTEGER,\n description TEXT,\n amenities TEXT, -- JSON (liste de textes source)\n details TEXT, -- JSON (champs structurés : inclusions, parking…)\n images TEXT, -- JSON\n lat REAL,\n lng REAL,\n geocode_failed INTEGER DEFAULT 0,\n content_hash TEXT,\n first_seen REAL,\n last_seen REAL,\n updated_at REAL,\n miss_count INTEGER DEFAULT 0,\n active INTEGER DEFAULT 1\n);\nCREATE INDEX IF NOT EXISTS idx_listings_source ON listings(source);\nCREATE INDEX IF NOT EXISTS idx_listings_city ON listings(city);\nCREATE INDEX IF NOT EXISTS idx_listings_active ON listings(active);\nCREATE INDEX IF NOT EXISTS idx_listings_geo ON listings(lat, lng);\n\nCREATE TABLE IF NOT EXISTS sync_log (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n source TEXT,\n ts REAL,\n found INTEGER,\n added INTEGER,\n updated INTEGER,\n removed INTEGER,\n ok INTEGER,\n message TEXT,\n stats TEXT -- JSON : taux de champs null, missed, alerte…\n);\n\nCREATE TABLE IF NOT EXISTS detail_cache (\n source TEXT NOT NULL,\n external_id TEXT NOT NULL,\n key TEXT, -- hash du contenu « liste » de l'annonce\n payload TEXT, -- JSON opaque propre au connecteur\n fetched_at REAL,\n PRIMARY KEY (source, external_id)\n);\n\nCREATE TABLE IF NOT EXISTS price_log (\n uid TEXT NOT NULL,\n ts REAL NOT NULL,\n price REAL -- prix observé (NULL = retiré de l'affichage)\n);\nCREATE INDEX IF NOT EXISTS idx_price_log_uid ON price_log(uid);\n\nCREATE TABLE IF NOT EXISTS poi_cache (\n coord_key TEXT PRIMARY KEY, -- \"lat,lng\" arrondi à 4 décimales (~11 m)\n lat REAL,\n lng REAL,\n pois TEXT, -- JSON : [{cat, name, dist_m}] (plus proche/catégorie)\n ts REAL\n);\n\nCREATE TABLE IF NOT EXISTS geocode_cache (\n address TEXT PRIMARY KEY, -- adresse normalisée (clé de cache)\n lat REAL,\n lng REAL,\n provider TEXT,\n failed INTEGER DEFAULT 0,\n ts REAL\n);\n\nCREATE TABLE IF NOT EXISTS users (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n google_sub TEXT UNIQUE, -- identifiant stable Google (OpenID « sub »)\n ka_id TEXT, -- identifiant membre « ka-0123456789 » (unique)\n email TEXT,\n name TEXT,\n picture TEXT, -- URL de l'avatar Google\n public INTEGER DEFAULT 0, -- profil public /u/{ka_id} (opt-in)\n role TEXT, -- « locataire » | « gestionnaire » | NULL\n org_source TEXT, -- source réclamée (gestionnaire)\n created_at REAL,\n last_login REAL\n);\n\nCREATE TABLE IF NOT EXISTS favorites (\n user_id INTEGER NOT NULL,\n uid TEXT NOT NULL, -- listings.uid\n ts REAL,\n PRIMARY KEY (user_id, uid)\n);\n\nCREATE TABLE IF NOT EXISTS image_checks (\n url TEXT PRIMARY KEY, -- URL d'image vérifiée (imgcheck.py)\n status TEXT, -- ok | dead | small | error\n width INTEGER,\n height INTEGER,\n bytes INTEGER,\n sha1 TEXT, -- hash du contenu (doublons / placeholders)\n checked_at REAL\n);\n\nCREATE TABLE IF NOT EXISTS env_tiles (\n tile_key TEXT PRIMARY KEY, -- « ty,tx » (tuiles 0,5° — voir poi.py/environment.py)\n data TEXT, -- JSON : routes/rails/aéro/industriel/bars/cyclable/POI\n fetched_at REAL\n);\n\nCREATE TABLE IF NOT EXISTS kascores (\n coord_key TEXT PRIMARY KEY, -- « lat,lng » arrondi à 4 décimales (immeuble)\n lat REAL, lng REAL,\n walk REAL, -- KA Walk Score 0-100 (NULL = données insuffisantes)\n transit REAL, -- KA Transit Score (NULL = non desservi/inconnu)\n bike REAL,\n calme REAL,\n services REAL,\n global REAL, -- moyenne pondérée par défaut (voir kascores.py)\n details TEXT, -- JSON : détail par score (fiche + méthodologie)\n version TEXT, -- version du barème (recalcul si changement)\n computed_at REAL\n);\n\nCREATE TABLE IF NOT EXISTS source_profiles (\n source_id TEXT PRIMARY KEY, -- id de la source (data/sources.json)\n owner_user_id INTEGER, -- gestionnaire qui a réclamé la page\n tagline TEXT, -- accroche personnalisée\n description TEXT,\n website TEXT,\n phone TEXT,\n email TEXT,\n logo_url TEXT,\n updated_at REAL\n);\n\"\"\"\n\n# Colonnes ajoutées après la v1 — migration automatique des bases existantes.\n_MIGRATIONS = {\n \"listings\": {\n \"availability_date\": \"TEXT\",\n \"area_sqft\": \"REAL\",\n \"pets\": \"TEXT\",\n \"furnished\": \"INTEGER\",\n \"details\": \"TEXT\",\n \"geocode_failed\": \"INTEGER DEFAULT 0\",\n \"miss_count\": \"INTEGER DEFAULT 0\",\n \"dauid\": \"TEXT\", # aire de diffusion 2021 (stats de quartier)\n \"digest\": \"TEXT\", # JSON louka/textmine.py (description structurée)\n \"dup_of\": \"TEXT\", # uid de l'annonce canonique si doublon inter-sources\n \"dup_sources\": \"TEXT\", # JSON : autres sources où l'annonce est publiée\n \"bedrooms\": \"REAL\", # chambres fermées (convention QC : 4½ = 2)\n \"bathrooms\": \"REAL\", # salles de bain (1.5 = salle d'eau en plus)\n \"completeness\": \"REAL\", # score de complétude 0–100 (quality.py)\n \"published\": \"INTEGER DEFAULT 1\", # 0 = quarantaine (sous le seuil)\n \"quality_reasons\": \"TEXT\", # JSON : raisons de la quarantaine\n \"images_ok\": \"TEXT\", # JSON : galerie nettoyée (imgcheck.py)\n \"img_audit\": \"TEXT\", # JSON : traçabilité du contrôle images\n \"coord_key\": \"TEXT\", # clé immeuble « lat,lng » 4 déc. (jointure kascores)\n },\n \"sync_log\": {\n \"stats\": \"TEXT\",\n },\n \"users\": {\n \"ka_id\": \"TEXT\",\n \"public\": \"INTEGER DEFAULT 0\",\n \"role\": \"TEXT\",\n \"org_source\": \"TEXT\",\n \"display_name\": \"TEXT\", # nom choisi (prime sur le nom Google)\n \"avatar_url\": \"TEXT\", # photo téléversée (prime sur picture)\n \"bio\": \"TEXT\",\n \"city\": \"TEXT\",\n \"phone\": \"TEXT\",\n \"website\": \"TEXT\",\n \"socials\": \"TEXT\", # JSON {instagram, facebook, x, linkedin…}\n },\n}\n\n\ndef connect() -> sqlite3.Connection:\n DB_PATH.parent.mkdir(parents=True, exist_ok=True)\n con = sqlite3.connect(DB_PATH)\n con.row_factory = sqlite3.Row\n con.executescript(_SCHEMA)\n for table, cols in _MIGRATIONS.items():\n existing = {r[\"name\"] for r in con.execute(f\"PRAGMA table_info({table})\")}\n for col, decl in cols.items():\n if col not in existing:\n con.execute(f\"ALTER TABLE {table} ADD COLUMN {col} {decl}\")\n # index sur des colonnes de migration : APRÈS les ALTER TABLE (une base\n # antérieure n'a pas encore la colonne au moment du CREATE INDEX)\n con.execute(\"CREATE UNIQUE INDEX IF NOT EXISTS users_ka_id ON users(ka_id)\")\n con.execute(\"CREATE INDEX IF NOT EXISTS idx_listings_pub\"\n \" ON listings(active, published)\")\n con.execute(\"CREATE INDEX IF NOT EXISTS idx_listings_coord\"\n \" ON listings(coord_key)\")\n con.commit()\n # WAL : lectures (web) et écritures (sync, imgcheck) concurrentes sans\n # verrou global ; busy_timeout évite les « database is locked » ponctuels.\n con.execute(\"PRAGMA journal_mode=WAL\")\n con.execute(\"PRAGMA busy_timeout=30000\")\n return con\n\n\n# ---------------------------------------------------------------------------\n# Synchronisation d'une source\n# ---------------------------------------------------------------------------\n\ndef _drift_alert(con: sqlite3.Connection, source: str, found: int,\n null_price_rate: float) -> str | None:\n \"\"\"Détecte une dérive du connecteur (chute du volume ou des prix extraits).\n\n Retourne un message d'alerte, ou None si tout est normal.\n \"\"\"\n hist = con.execute(\n \"SELECT found, stats FROM sync_log WHERE source=? AND ok=1\"\n \" ORDER BY ts DESC LIMIT ?\", (source, DRIFT_HISTORY)).fetchall()\n if len(hist) < 3:\n return None\n med_found = statistics.median(r[\"found\"] for r in hist)\n if med_found >= DRIFT_MIN_BASE and found <= DRIFT_RATIO * med_found:\n return (f\"dérive: {found} annonce(s) trouvée(s) contre une médiane de \"\n f\"{med_found:.0f} — retraits suspendus, vérifier le connecteur\")\n if found >= DRIFT_MIN_BASE and null_price_rate >= 0.8:\n rates = []\n for r in hist:\n try:\n rates.append(json.loads(r[\"stats\"] or \"{}\")[\"null_price_rate\"])\n except (KeyError, ValueError, TypeError):\n continue\n if rates and statistics.median(rates) <= 0.3:\n return (f\"dérive: {null_price_rate:.0%} des annonces sans prix \"\n f\"(habituellement {statistics.median(rates):.0%}) — \"\n \"le format de la source a probablement changé\")\n return None\n\n\ndef sync_source(con: sqlite3.Connection, source: str,\n listings: list[Listing]) -> dict:\n \"\"\"Synchronise les annonces d'une source.\n\n - nouvelle annonce -> insertion\n - annonce modifiée -> mise à jour (comparaison de content_hash)\n - annonce disparue -> miss_count += 1, puis active=0 après MISS_GRACE\n exécutions consécutives (délai de grâce)\n - dérive détectée -> alerte consignée, retraits suspendus\n \"\"\"\n now = time.time()\n added = updated = 0\n seen_uids = set()\n\n n = len(listings)\n null_price = sum(1 for l in listings if l.price is None)\n null_addr = sum(1 for l in listings if not l.address)\n null_price_rate = round(null_price / n, 3) if n else 0.0\n\n alert = _drift_alert(con, source, n, null_price_rate)\n\n for lst in listings:\n seen_uids.add(lst.uid)\n h = lst.content_hash()\n row = con.execute(\n \"SELECT content_hash, price, images FROM listings WHERE uid=?\",\n (lst.uid,)).fetchone()\n # score de complétude + seuil de publication (quarantaine sous le seuil)\n from .quality import evaluate\n q_score, q_pub, q_reasons = evaluate({\n \"title\": lst.title,\n \"price\": lst.price, \"address\": lst.address, \"city\": lst.city,\n \"sector\": lst.sector, \"lat\": lst.lat, \"lng\": lst.lng,\n \"description\": lst.description, \"images\": lst.images,\n \"unit_type\": lst.unit_type, \"bedrooms\": lst.bedrooms,\n \"bathrooms\": lst.bathrooms, \"availability\": lst.availability,\n \"availability_date\": lst.availability_date,\n \"area_sqft\": lst.area_sqft, \"amenities\": lst.amenities,\n \"details\": lst.details, \"url\": lst.url})\n params = dict(\n uid=lst.uid, source=lst.source, external_id=lst.external_id,\n url=lst.url, title=lst.title, address=lst.address,\n sector=lst.sector, city=lst.city, unit_type=lst.unit_type,\n bedrooms=lst.bedrooms, bathrooms=lst.bathrooms,\n price=lst.price, price_label=lst.price_label,\n availability=lst.availability,\n availability_date=lst.availability_date,\n area_sqft=lst.area_sqft, pets=lst.pets,\n furnished=(None if lst.furnished is None else int(lst.furnished)),\n description=lst.description,\n digest=(json.dumps(lst.digest, ensure_ascii=False)\n if getattr(lst, \"digest\", None) else None),\n amenities=json.dumps(lst.amenities, ensure_ascii=False),\n details=json.dumps(lst.details, ensure_ascii=False),\n images=json.dumps(lst.images, ensure_ascii=False),\n lat=lst.lat, lng=lst.lng, content_hash=h, now=now,\n completeness=q_score, published=int(q_pub),\n quality_reasons=(json.dumps(q_reasons, ensure_ascii=False)\n if q_reasons else None),\n )\n if row is None:\n con.execute(\n \"\"\"INSERT INTO listings (uid, source, external_id, url, title,\n address, sector, city, unit_type, bedrooms, bathrooms,\n price, price_label,\n availability, availability_date, area_sqft, pets, furnished,\n description, digest, amenities, details, images, lat, lng,\n content_hash, first_seen, last_seen, updated_at,\n miss_count, active, completeness, published,\n quality_reasons)\n VALUES (:uid,:source,:external_id,:url,:title,:address,\n :sector,:city,:unit_type,:bedrooms,:bathrooms,\n :price,:price_label,:availability,\n :availability_date,:area_sqft,:pets,:furnished,\n :description,:digest,:amenities,:details,:images,:lat,:lng,\n :content_hash,:now,:now,:now,0,1,\n :completeness,:published,:quality_reasons)\"\"\", params)\n if lst.price is not None: # prix initial = point de départ de l'historique\n con.execute(\"INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)\",\n (lst.uid, now, lst.price))\n added += 1\n elif row[\"content_hash\"] != h:\n # COALESCE : ne jamais écraser des coordonnées géocodées par null\n con.execute(\n \"\"\"UPDATE listings SET url=:url, title=:title,\n address=:address, sector=:sector, city=:city,\n unit_type=:unit_type, bedrooms=:bedrooms,\n bathrooms=:bathrooms, price=:price,\n price_label=:price_label, availability=:availability,\n availability_date=:availability_date,\n area_sqft=:area_sqft, pets=:pets, furnished=:furnished,\n description=:description, digest=:digest,\n amenities=:amenities, details=:details, images=:images,\n lat=COALESCE(:lat, lat), lng=COALESCE(:lng, lng),\n content_hash=:content_hash, last_seen=:now,\n updated_at=:now, miss_count=0, active=1,\n completeness=:completeness, published=:published,\n quality_reasons=:quality_reasons\n WHERE uid=:uid\"\"\", params)\n if (row[\"images\"] or \"[]\") != params[\"images\"]:\n # galerie modifiée : invalider l'audit d'images (imgcheck.py)\n con.execute(\"UPDATE listings SET images_ok=NULL, img_audit=NULL\"\n \" WHERE uid=?\", (lst.uid,))\n if lst.price != row[\"price\"]: # changement de prix -> historique\n con.execute(\"INSERT INTO price_log (uid, ts, price) VALUES (?,?,?)\",\n (lst.uid, now, lst.price))\n updated += 1\n else:\n con.execute(\n \"UPDATE listings SET last_seen=?, miss_count=0, active=1 WHERE uid=?\",\n (now, lst.uid))\n\n # Annonces de cette source qui n'apparaissent plus : délai de grâce,\n # puis désactivation. Suspendu si une dérive est détectée.\n removed = missed = 0\n if not alert:\n for r in con.execute(\n \"SELECT uid, miss_count FROM listings WHERE source=? AND active=1\",\n (source,)).fetchall():\n if r[\"uid\"] in seen_uids:\n continue\n missed += 1\n if r[\"miss_count\"] + 1 >= MISS_GRACE:\n con.execute(\n \"UPDATE listings SET active=0, miss_count=?, updated_at=?\"\n \" WHERE uid=?\", (r[\"miss_count\"] + 1, now, r[\"uid\"]))\n removed += 1\n else:\n con.execute(\"UPDATE listings SET miss_count=miss_count+1 WHERE uid=?\",\n (r[\"uid\"],))\n\n stats = {\n \"null_price_rate\": null_price_rate,\n \"null_address_rate\": round(null_addr / n, 3) if n else 0.0,\n \"missed\": missed,\n }\n if alert:\n stats[\"alert\"] = alert\n con.execute(\n \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,\"\n \" message, stats) VALUES (?,?,?,?,?,?,1,?,?)\",\n (source, now, n, added, updated, removed, alert or \"ok\",\n json.dumps(stats, ensure_ascii=False)))\n con.commit()\n out = {\"source\": source, \"found\": n, \"added\": added,\n \"updated\": updated, \"removed\": removed}\n if alert:\n out[\"alert\"] = alert\n return out\n\n\ndef log_failure(con: sqlite3.Connection, source: str, message: str) -> None:\n con.execute(\n \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)\"\n \" VALUES (?,?,0,0,0,0,0,?)\", (source, time.time(), message))\n con.commit()\n\n\n# ---------------------------------------------------------------------------\n# Cache des pages détail (« détail si nouveau/modifié »)\n# ---------------------------------------------------------------------------\n\ndef get_cached_detail(con: sqlite3.Connection, source: str,\n external_id: str, key: str) -> dict | None:\n \"\"\"Payload détail mis en cache si la clé (hash liste) n'a pas changé.\"\"\"\n row = con.execute(\n \"SELECT key, payload FROM detail_cache WHERE source=? AND external_id=?\",\n (source, external_id)).fetchone()\n if row and row[\"key\"] == key and row[\"payload\"]:\n try:\n return json.loads(row[\"payload\"])\n except ValueError:\n return None\n return None\n\n\ndef put_cached_detail(con: sqlite3.Connection, source: str,\n external_id: str, key: str, payload: dict) -> None:\n con.execute(\n \"INSERT INTO detail_cache (source, external_id, key, payload, fetched_at)\"\n \" VALUES (?,?,?,?,?)\"\n \" ON CONFLICT(source, external_id) DO UPDATE SET\"\n \" key=excluded.key, payload=excluded.payload, fetched_at=excluded.fetched_at\",\n (source, external_id, key, json.dumps(payload, ensure_ascii=False),\n time.time()))\n con.commit()\n","numLines":465,"startLine":1,"totalLines":465}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfEpWkPr1vVZXkJv36N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KUTRQ1hXmpwzM7xQBL1kwp","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/__init__.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":13137,"cache_read_input_tokens":40151,"cache_creation":{"ephemeral_5m_input_tokens":13137,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"b03dd2f1-ff45-4e22-8ebf-e75aa837a521"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KUTRQ1hXmpwzM7xQBL1kwp","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/__init__.py : registre AUTO-DÉCOUVRANT des connecteurs\n5\t# Tout module de ce paquet contenant une sous-classe de BaseConnector avec un\n6\t# source_id non vide est enregistré automatiquement — aucun fichier partagé\n7\t# à modifier pour ajouter un connecteur.\n8\t# -----------------------------------------------------------------------------\n9\tfrom __future__ import annotations\n10\t\n11\timport importlib\n12\timport pkgutil\n13\timport sys\n14\t\n15\tfrom .base import BaseConnector\n16\t\n17\tCONNECTORS: dict[str, type[BaseConnector]] = {}\n18\t\n19\tfor _mod in pkgutil.iter_modules(__path__):\n20\t if _mod.name in (\"base\", \"__init__\"):\n21\t continue\n22\t try:\n23\t module = importlib.import_module(f\"{__name__}.{_mod.name}\")\n24\t except Exception as exc: # un connecteur cassé ne bloque pas les autres\n25\t print(f\"[lou-ka] connecteur '{_mod.name}' ignoré : {exc}\", file=sys.stderr)\n26\t continue\n27\t for obj in vars(module).values():\n28\t if (isinstance(obj, type) and issubclass(obj, BaseConnector)\n29\t and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\n30\t if getattr(obj, \"disabled\", False): # source hors-ligne (voir le module)\n31\t continue\n32\t CONNECTORS[obj.source_id] = obj\n33\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"4a228254-d791-4bd9-87da-90d0566e5d0b","timestamp":"2026-08-22T23:32:37.379Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/__init__.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/__init__.py : registre AUTO-DÉCOUVRANT des connecteurs\n# Tout module de ce paquet contenant une sous-classe de BaseConnector avec un\n# source_id non vide est enregistré automatiquement — aucun fichier partagé\n# à modifier pour ajouter un connecteur.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport importlib\nimport pkgutil\nimport sys\n\nfrom .base import BaseConnector\n\nCONNECTORS: dict[str, type[BaseConnector]] = {}\n\nfor _mod in pkgutil.iter_modules(__path__):\n if _mod.name in (\"base\", \"__init__\"):\n continue\n try:\n module = importlib.import_module(f\"{__name__}.{_mod.name}\")\n except Exception as exc: # un connecteur cassé ne bloque pas les autres\n print(f\"[lou-ka] connecteur '{_mod.name}' ignoré : {exc}\", file=sys.stderr)\n continue\n for obj in vars(module).values():\n if (isinstance(obj, type) and issubclass(obj, BaseConnector)\n and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\n if getattr(obj, \"disabled\", False): # source hors-ligne (voir le module)\n continue\n CONNECTORS[obj.source_id] = obj\n","numLines":33,"startLine":1,"totalLines":33}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5f4997c8-3eb7-437d-be92-b365bbbdc037","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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│\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 172.0mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 184.0mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 6D │ 0 │ online │ 0% │ 131.2mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 781.7mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 5D │ 0 │ online │ 0% │ 175.3mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 5h │ 11 │ online │ 0% │ 521.7mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 4h │ 33 │ online │ 0% │ 217.3mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 62.0mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 13D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 13D │ 0 │ online │ 0% │ 77.0mb │ simon-p… │ disabled │\n│ 62 │ earthnow-proxy │ default │ N/A │ fork │ 87227 │ 13D │ 0 │ online │ 0% │ 46.6mb │ simon-p… │ disabled │\n│ 61 │ earthnow-web │ default │ 0.1.0 │ fork │ 87210 │ 13D │ 0 │ online │ 0% │ 108.3mb │ simon-p… │ disabled │\n│ 30 │ groupe-ka │ default │ 1.0.0 │ fork │ 69538 │ 4h │ 73 │ online │ 0% │ 281.9mb │ simon-p… │ disabled │\n│ 31 │ groupe-ka-ngrok │ default │ N/A │ fork │ 26263 │ 7D │ 1 │ online │ 0% │ 199.1mb │ simon-p… │ disabled │\n│ 95 │ groupe-ka-status-tick │ default │ 1.0.0 │ fork │ 0 │ 0 │ 153 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 0 │ immbot-ai │ default │ 1.0.0 │ fork │ 19793 │ 17D │ 6 │ online │ 0% │ 151.3mb │ simon-p… │ disabled │\n│ 1 │ immbot-ngrok │ default │ N/A │ fork │ 76976 │ 18D │ 1 │ online │ 0% │ 70.5mb │ simon-p… │ disabled │\n│ 64 │ khaelor-sh │ default │ N/A │ fork │ 13042 │ 12D │ 2 │ online │ 0% │ 44.2mb │ simon-p… │ disabled │\n│ 65 │ khaelor-sh-ngrok │ default │ N/A │ fork │ 21045 │ 12D │ 0 │ online │ 0% │ 59.0mb │ simon-p… │ disabled │\n│ 16 │ llmindex-benchmark │ default │ 4.23.5 │ fork │ 0 │ 0 │ 0 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 9 │ llmindex-ngrok │ default │ N/A │ fork │ 93363 │ 17D │ 0 │ online │ 0% │ 217.9mb │ simon-p… │ disabled │\n│ 7 │ llmindex-web │ default │ 0.1.0 │ fork │ 24537 │ 22h │ 20 │ online │ 0% │ 526.7mb │ simon-p… │ disabled │\n│ 10 │ llmindex-worker │ default │ 4.23.5 │ fork │ 44184 │ 17D │ 4 │ online │ 0% │ 51.7mb │ simon-p… │ disabled │\n│ 71 │ localvm-web │ default │ 1.0.0 │ fork │ 4329 │ 10D │ 13 │ online │ 0% │ 113.5mb │ simon-p… │ disabled │\n│ 72 │ localvm-web-ngrok │ default │ N/A │ fork │ 71734 │ 10D │ 0 │ online │ 0% │ 101.0mb │ simon-p… │ disabled │\n│ 27 │ lou-ka-ngrok │ default │ N/A │ fork │ 22790 │ 16D │ 0 │ online │ 0% │ 349.3mb │ simon-p… │ disabled │\n│ 26 │ lou-ka-sync │ default │ 1.0.0 │ fork │ 23823 │ 5m │ 35 │ online │ 0% │ 189.2mb │ simon-p… │ disabled │\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 23812 │ 5m │ 71 │ online │ 0% │ 141.5mb │ simon-p… │ disabled │\n│ 73 │ modelmap-web │ default │ 1.0.0 │ fork │ 23027 │ 10D │ 18 │ online │ 0% │ 72.8mb │ simon-p… │ disabled │\n│ 74 │ modelmap-web-ngrok │ default │ N/A │ fork │ 89389 │ 10D │ 0 │ online │ 0% │ 74.8mb │ simon-p… │ disabled │\n│ 84 │ resto-ka │ default │ N/A │ fork │ 90741 │ 28m │ 21 │ online │ 0% │ 96.9mb │ simon-p… │ disabled │\n│ 85 │ resto-ka-ngrok │ default │ N/A │ fork │ 35426 │ 5D │ 0 │ online │ 0% │ 145.8mb │ simon-p… │ disabled │\n│ 86 │ resto-ka-sync │ default │ N/A │ fork │ 81889 │ 5h │ 7 │ online │ 0% │ 282.3mb │ simon-p… │ disabled │\n│ 66 │ spbdrive-server │ default │ 2.1.0 │ fork │ 54545 │ 12D │ 3 │ online │ 0% │ 89.0mb │ simon-p… │ disabled │\n│ 68 │ spbdrive-tunnel │ default │ N/A │ fork │ 58322 │ 12D │ 0 │ online │ 0% │ 59.8mb │ simon-p… │ disabled │\n│ 70 │ svgarden-tunnel │ default │ N/A │ fork │ 34955 │ 12D │ 1 │ online │ 0% │ 77.8mb │ simon-p… │ disabled │\n│ 69 │ svgarden-web │ default │ 1.0.0 │ fork │ 34954 │ 12D │ 1 │ online │ 0% │ 65.8mb │ simon-p… │ disabled │\n│ 23 │ voyage2026 │ default │ N/A │ fork │ 43917 │ 16D │ 0 │ online │ 0% │ 40.0mb │ simon-p… │ disabled │\n│ 24 │ voyage2026-ngrok │ default │ N/A │ fork │ 43929 │ 16D │ 0 │ online │ 0% │ 59.2mb │ simon-p… │ disabled │\n└────┴──────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n 786 louka/web.py\n 381 frontend/src/App.tsx\n 610 frontend/src/pages/Home.tsx\n 535 frontend/src/pages/Listing.tsx\n 2312 total\nfrontend/src/components:\nCookieConsent.tsx\nFairValueBadge.tsx\nIcons.tsx\nKaScoreBadge.tsx\nKaScoresBlock.tsx\nListingCard.tsx\nListingMap3D.tsx\nLogo.tsx\nMapView.tsx\nPager.tsx\nPriceAnalysis.tsx\nQuartierBlock.tsx\nSmartImg.tsx\n\nfrontend/src/pages:\nBienvenue.tsx\nBot.tsx\nContact.tsx\nFavoris.tsx\nGestion.tsx\nGestionPublic.tsx\nHome.tsx\nJusteValeur.tsx\nKaScores.tsx\nListing.tsx\nPasserelle.tsx\nPrivacy.tsx\nProfile.tsx\nPublicProfile.tsx\nSources.tsx\nStats.tsx\nTerms.tsx\nVille.tsx","is_error":false}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"c2ad5065-3dde-4ea0-bcf3-c490a94baf1f","timestamp":"2026-08-22T23:33:13.206Z","tool_use_result":{"stdout":"┌────┬──────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 172.0mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 184.0mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 6D │ 0 │ online │ 0% │ 131.2mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 781.7mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 5D │ 0 │ online │ 0% │ 175.3mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 5h │ 11 │ online │ 0% │ 521.7mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 4h │ 33 │ online │ 0% │ 217.3mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 62.0mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 13D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 13D │ 0 │ online │ 0% │ 77.0mb │ simon-p… │ disabled │\n│ 62 │ earthnow-proxy │ default │ N/A │ fork │ 87227 │ 13D │ 0 │ online │ 0% │ 46.6mb │ simon-p… │ disabled │\n│ 61 │ earthnow-web │ default │ 0.1.0 │ fork │ 87210 │ 13D │ 0 │ online │ 0% │ 108.3mb │ simon-p… │ disabled │\n│ 30 │ groupe-ka │ default │ 1.0.0 │ fork │ 69538 │ 4h │ 73 │ online │ 0% │ 281.9mb │ simon-p… │ disabled │\n│ 31 │ groupe-ka-ngrok │ default │ N/A │ fork │ 26263 │ 7D │ 1 │ online │ 0% │ 199.1mb │ simon-p… │ disabled │\n│ 95 │ groupe-ka-status-tick │ default │ 1.0.0 │ fork │ 0 │ 0 │ 153 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 0 │ immbot-ai │ default │ 1.0.0 │ fork │ 19793 │ 17D │ 6 │ online │ 0% │ 151.3mb │ simon-p… │ disabled │\n│ 1 │ immbot-ngrok │ default │ N/A │ fork │ 76976 │ 18D │ 1 │ online │ 0% │ 70.5mb │ simon-p… │ disabled │\n│ 64 │ khaelor-sh │ default │ N/A │ fork │ 13042 │ 12D │ 2 │ online │ 0% │ 44.2mb │ simon-p… │ disabled │\n│ 65 │ khaelor-sh-ngrok │ default │ N/A │ fork │ 21045 │ 12D │ 0 │ online │ 0% │ 59.0mb │ simon-p… │ disabled │\n│ 16 │ llmindex-benchmark │ default │ 4.23.5 │ fork │ 0 │ 0 │ 0 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 9 │ llmindex-ngrok │ default │ N/A │ fork │ 93363 │ 17D │ 0 │ online │ 0% │ 217.9mb │ simon-p… │ disabled │\n│ 7 │ llmindex-web │ default │ 0.1.0 │ fork │ 24537 │ 22h │ 20 │ online │ 0% │ 526.7mb │ simon-p… │ disabled │\n│ 10 │ llmindex-worker │ default │ 4.23.5 │ fork │ 44184 │ 17D │ 4 │ online │ 0% │ 51.7mb │ simon-p… │ disabled │\n│ 71 │ localvm-web │ default │ 1.0.0 │ fork │ 4329 │ 10D │ 13 │ online │ 0% │ 113.5mb │ simon-p… │ disabled │\n│ 72 │ localvm-web-ngrok │ default │ N/A │ fork │ 71734 │ 10D │ 0 │ online │ 0% │ 101.0mb │ simon-p… │ disabled │\n│ 27 │ lou-ka-ngrok │ default │ N/A │ fork │ 22790 │ 16D │ 0 │ online │ 0% │ 349.3mb │ simon-p… │ disabled │\n│ 26 │ lou-ka-sync │ default │ 1.0.0 │ fork │ 23823 │ 5m │ 35 │ online │ 0% │ 189.2mb │ simon-p… │ disabled │\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 23812 │ 5m │ 71 │ online │ 0% │ 141.5mb │ simon-p… │ disabled │\n│ 73 │ modelmap-web │ default │ 1.0.0 │ fork │ 23027 │ 10D │ 18 │ online │ 0% │ 72.8mb │ simon-p… │ disabled │\n│ 74 │ modelmap-web-ngrok │ default │ N/A │ fork │ 89389 │ 10D │ 0 │ online │ 0% │ 74.8mb │ simon-p… │ disabled │\n│ 84 │ resto-ka │ default │ N/A │ fork │ 90741 │ 28m │ 21 │ online │ 0% │ 96.9mb │ simon-p… │ disabled │\n│ 85 │ resto-ka-ngrok │ default │ N/A │ fork │ 35426 │ 5D │ 0 │ online │ 0% │ 145.8mb │ simon-p… │ disabled │\n│ 86 │ resto-ka-sync │ default │ N/A │ fork │ 81889 │ 5h │ 7 │ online │ 0% │ 282.3mb │ simon-p… │ disabled │\n│ 66 │ spbdrive-server │ default │ 2.1.0 │ fork │ 54545 │ 12D │ 3 │ online │ 0% │ 89.0mb │ simon-p… │ disabled │\n│ 68 │ spbdrive-tunnel │ default │ N/A │ fork │ 58322 │ 12D │ 0 │ online │ 0% │ 59.8mb │ simon-p… │ disabled │\n│ 70 │ svgarden-tunnel │ default │ N/A │ fork │ 34955 │ 12D │ 1 │ online │ 0% │ 77.8mb │ simon-p… │ disabled │\n│ 69 │ svgarden-web │ default │ 1.0.0 │ fork │ 34954 │ 12D │ 1 │ online │ 0% │ 65.8mb │ simon-p… │ disabled │\n│ 23 │ voyage2026 │ default │ N/A │ fork │ 43917 │ 16D │ 0 │ online │ 0% │ 40.0mb │ simon-p… │ disabled │\n│ 24 │ voyage2026-ngrok │ default │ N/A │ fork │ 43929 │ 16D │ 0 │ online │ 0% │ 59.2mb │ simon-p… │ disabled │\n└────┴──────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n 786 louka/web.py\n 381 frontend/src/App.tsx\n 610 frontend/src/pages/Home.tsx\n 535 frontend/src/pages/Listing.tsx\n 2312 total\nfrontend/src/components:\nCookieConsent.tsx\nFairValueBadge.tsx\nIcons.tsx\nKaScoreBadge.tsx\nKaScoresBlock.tsx\nListingCard.tsx\nListingMap3D.tsx\nLogo.tsx\nMapView.tsx\nPager.tsx\nPriceAnalysis.tsx\nQuartierBlock.tsx\nSmartImg.tsx\n\nfrontend/src/pages:\nBienvenue.tsx\nBot.tsx\nContact.tsx\nFavoris.tsx\nGestion.tsx\nGestionPublic.tsx\nHome.tsx\nJusteValeur.tsx\nKaScores.tsx\nListing.tsx\nPasserelle.tsx\nPrivacy.tsx\nProfile.tsx\nPublicProfile.tsx\nSources.tsx\nStats.tsx\nTerms.tsx\nVille.tsx","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"68e55aa2-29f8-4033-9a8d-ebe2b634aaf5","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfHzeH9mLk7ux9jBfQ3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016YPCDnBpoBhZGpRtwd7xtx","name":"TodoWrite","input":{"todos":[{"content":"Créer l'infra backend court terme (louka/shortterm/ : schema, db, base, registre, ingest, router API /api/ct)","status":"in_progress","activeForm":"Création de l'infra backend court terme"},{"content":"Brancher run.py (sync-ct/watch-ct) et web.py (include router)","status":"pending","activeForm":"Branchement run.py et web.py"},{"content":"Écrire la 1re vague de connecteurs court terme (agents parallèles : plateformes QC chalets + Airbnb/Booking)","status":"pending","activeForm":"Écriture des connecteurs court terme"},{"content":"Frontend : onglet « Court terme », page liste+carte /court-terme, fiche détail","status":"pending","activeForm":"Création du frontend court terme"},{"content":"Sync initial, vérification des données, build frontend","status":"pending","activeForm":"Sync initial et build"},{"content":"pm2 restart lou-ka-web + sync-ct périodique, healthcheck, commit + push origin main","status":"pending","activeForm":"Déploiement et commit"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":60754,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":60754,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"46360e82-94db-48c4-9297-eec5849f4a9c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016YPCDnBpoBhZGpRtwd7xtx","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"95628024-4710-49eb-ac57-3cd960daf41e","timestamp":"2026-08-22T23:33:21.649Z","tool_use_result":{"oldTodos":[],"newTodos":[{"content":"Créer l'infra backend court terme (louka/shortterm/ : schema, db, base, registre, ingest, router API /api/ct)","status":"in_progress","activeForm":"Création de l'infra backend court terme"},{"content":"Brancher run.py (sync-ct/watch-ct) et web.py (include router)","status":"pending","activeForm":"Branchement run.py et web.py"},{"content":"Écrire la 1re vague de connecteurs court terme (agents parallèles : plateformes QC chalets + Airbnb/Booking)","status":"pending","activeForm":"Écriture des connecteurs court terme"},{"content":"Frontend : onglet « Court terme », page liste+carte /court-terme, fiche détail","status":"pending","activeForm":"Création du frontend court terme"},{"content":"Sync initial, vérification des données, build frontend","status":"pending","activeForm":"Sync initial et build"},{"content":"pm2 restart lou-ka-web + sync-ct périodique, healthcheck, commit + push origin main","status":"pending","activeForm":"Déploiement et commit"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfHzeH9mLk7ux9jBfQ3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D7o7yJf3eQDQNzynCaEaKy","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":60754,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":60754,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"47acc138-2784-4a8c-b0db-3e3f57c6bfd7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D7o7yJf3eQDQNzynCaEaKy","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# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n5\t# -----------------------------------------------------------------------------\n6\tfrom __future__ import annotations\n7\t\n8\timport json\n9\timport threading\n10\tfrom pathlib import Path\n11\t\n12\tfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\n13\tfrom fastapi.middleware.cors import CORSMiddleware\n14\tfrom fastapi.middleware.gzip import GZipMiddleware\n15\tfrom fastapi.responses import FileResponse\n16\tfrom fastapi.staticfiles import StaticFiles\n17\t\n18\tfrom . import auth, db, ingest\n19\t\n20\tROOT = Path(__file__).resolve().parent.parent\n21\tSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\n22\tFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n23\t\n24\tapp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n25\t description=\"Agrégateur de logements à louer — province de Québec\")\n26\tapp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n27\t allow_methods=[\"*\"], allow_headers=[\"*\"])\n28\tapp.add_middleware(GZipMiddleware, minimum_size=1000)\n29\t\n30\t_sync_lock = threading.Lock()\n31\t\n32\t# comptes utilisateurs (connexion Google) — voir louka/auth.py\n33\tapp.include_router(auth.router)\n34\t\n35\t# rôles, favoris, pages gestionnaires — voir louka/accounts.py\n36\tfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\n37\tapp.include_router(accounts.router)\n38\t\n39\t# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\n40\tfrom . import profile as user_profile # noqa: E402\n41\tapp.include_router(user_profile.router)\n42\t\n43\t# fichiers téléversés (photos de profil) — data/uploads/\n44\t_UPLOADS = ROOT / \"data\" / \"uploads\"\n45\t_UPLOADS.mkdir(parents=True, exist_ok=True)\n46\tapp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n47\t\n48\t\n49\tdef _row_to_dict(row) -> dict:\n50\t d = dict(row)\n51\t d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n52\t d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n53\t # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n54\t # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n55\t imgs_ok = d.pop(\"images_ok\", None)\n56\t if imgs_ok:\n57\t try:\n58\t cleaned = json.loads(imgs_ok)\n59\t if isinstance(cleaned, list):\n60\t d[\"images\"] = cleaned\n61\t except (ValueError, TypeError):\n62\t pass\n63\t d.pop(\"img_audit\", None)\n64\t d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n65\t # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n66\t if d.get(\"dup_sources\"):\n67\t try:\n68\t d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n69\t except (ValueError, TypeError):\n70\t d[\"dup_sources\"] = []\n71\t if d.get(\"furnished\") is not None:\n72\t d[\"furnished\"] = bool(d[\"furnished\"])\n73\t return d\n74\t\n75\t\n76\t@app.get(\"/api/listings\")\n77\tdef list_listings(\n78\t city: str | None = None,\n79\t sector: str | None = None,\n80\t unit_type: str | None = None,\n81\t source: str | None = None,\n82\t price_max: float | None = None,\n83\t price_min: float | None = None,\n84\t pets: str | None = None, # \"oui\" -> oui OU conditions\n85\t furnished: int | None = None, # 1 / 0\n86\t available_by: str | None = None, # ISO : dispo maintenant ou avant date\n87\t area_min: float | None = None, # superficie minimale (pi²)\n88\t q: str | None = None,\n89\t deal: str | None = None, # sous | marche | sur (fair value)\n90\t kascore_min: float | None = None, # KA Score global minimal\n91\t sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n92\t active: int = 1,\n93\t limit: int = Query(500, le=2000),\n94\t offset: int = 0,\n95\t):\n96\t con = db.connect()\n97\t sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n98\t \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n99\t \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n100\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n101\t \" WHERE dup_of IS NULL\") # doublons masqués\n102\t args: list = []\n103\t if active in (0, 1):\n104\t sql += \" AND active=?\"; args.append(active)\n105\t if active == 1: # quarantaine qualité : jamais dans les résultats publics\n106\t sql += \" AND published=1\"\n107\t if city:\n108\t sql += \" AND city=?\"; args.append(city)\n109\t if sector:\n110\t sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n111\t if unit_type:\n112\t sql += \" AND unit_type=?\"; args.append(unit_type)\n113\t if source:\n114\t sql += \" AND source=?\"; args.append(source)\n115\t if price_max is not None:\n116\t sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n117\t if price_min is not None:\n118\t sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n119\t if pets == \"oui\":\n120\t sql += \" AND pets IN ('oui','conditions')\"\n121\t elif pets:\n122\t sql += \" AND pets=?\"; args.append(pets)\n123\t if furnished in (0, 1):\n124\t sql += \" AND furnished=?\"; args.append(furnished)\n125\t if available_by:\n126\t # « now » trié après les dates ISO : comparaison explicite\n127\t sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n128\t \" AND availability_date<=?))\"\n129\t args.append(available_by)\n130\t if area_min is not None:\n131\t sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n132\t if q:\n133\t sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n134\t args += [f\"%{q}%\"] * 3\n135\t if deal in (\"sous\", \"marche\", \"sur\"):\n136\t sql += \" AND fv.verdict=?\"; args.append(deal)\n137\t if kascore_min is not None:\n138\t sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n139\t args.append(kascore_min)\n140\t total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n141\t if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n142\t sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n143\t \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n144\t elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n145\t sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n146\t \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n147\t elif sort == \"prix\":\n148\t sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n149\t else: # défaut : les plus récentes d'abord\n150\t sql += \" ORDER BY first_seen DESC, price IS NULL, price ASC LIMIT ? OFFSET ?\"\n151\t args += [limit, offset]\n152\t rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n153\t con.close()\n154\t return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n155\t\n156\t\n157\t@app.get(\"/api/listings.geojson\")\n158\tdef listings_geojson(\n159\t city: str | None = None,\n160\t sector: str | None = None,\n161\t unit_type: str | None = None,\n162\t source: str | None = None,\n163\t price_max: float | None = None,\n164\t price_min: float | None = None,\n165\t pets: str | None = None,\n166\t furnished: int | None = None,\n167\t available_by: str | None = None,\n168\t area_min: float | None = None,\n169\t q: str | None = None,\n170\t bbox: str | None = None,\n171\t limit: int = Query(3000, le=8000),\n172\t):\n173\t \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n174\t\n175\t Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n176\t fiches de la carte sont inclus (1 photo, pas de description).\n177\t\n178\t Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n179\t (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n180\t porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n181\t correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n182\t pour afficher « N résultats sans position sur la carte ».\n183\t \"\"\"\n184\t con = db.connect()\n185\t sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n186\t \" availability_date, source, city, sector, area_sqft, images,\"\n187\t \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n188\t \" fv.deviation AS fv_deviation\"\n189\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n190\t \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n191\t \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n192\t args: list = []\n193\t if bbox:\n194\t try:\n195\t west, south, east, north = (float(v) for v in bbox.split(\",\"))\n196\t except ValueError:\n197\t raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n198\t sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n199\t args += [south, north, west, east]\n200\t if city:\n201\t sql += \" AND city=?\"; args.append(city)\n202\t if sector:\n203\t sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n204\t if unit_type:\n205\t sql += \" AND unit_type=?\"; args.append(unit_type)\n206\t if source:\n207\t sql += \" AND source=?\"; args.append(source)\n208\t if price_max is not None:\n209\t sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n210\t if price_min is not None:\n211\t sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n212\t if pets == \"oui\":\n213\t sql += \" AND pets IN ('oui','conditions')\"\n214\t elif pets:\n215\t sql += \" AND pets=?\"; args.append(pets)\n216\t if furnished in (0, 1):\n217\t sql += \" AND furnished=?\"; args.append(furnished)\n218\t if available_by:\n219\t sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n220\t \" AND availability_date<=?))\"\n221\t args.append(available_by)\n222\t if area_min is not None:\n223\t sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n224\t if q:\n225\t sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n226\t args += [f\"%{q}%\"] * 3\n227\t\n228\t total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n229\t # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n230\t # annonces filtrées invisibles sur la carte (affordance « sans position »).\n231\t sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n232\t args_all = list(args)\n233\t if bbox:\n234\t sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n235\t del args_all[0:4]\n236\t total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n237\t\n238\t sql += \" ORDER BY first_seen DESC LIMIT ?\"\n239\t args.append(limit)\n240\t\n241\t features = []\n242\t for r in con.execute(sql, args).fetchall():\n243\t # galerie nettoyée si auditée (même vide : les images brutes sont\n244\t # alors toutes mortes/placeholder — le frontend affiche le visuel\n245\t # de secours Lou-Ka plutôt qu'une image cassée)\n246\t images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n247\t else r[\"images\"]) or \"[]\")\n248\t features.append({\n249\t \"type\": \"Feature\",\n250\t \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n251\t \"properties\": {\n252\t \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n253\t \"price\": r[\"price\"],\n254\t \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n255\t \"availability_date\": r[\"availability_date\"],\n256\t \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n257\t \"area_sqft\": r[\"area_sqft\"],\n258\t \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n259\t \"image\": images[0] if images else None,\n260\t },\n261\t })\n262\t con.close()\n263\t return {\"type\": \"FeatureCollection\", \"features\": features,\n264\t \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n265\t\n266\t\n267\t# --- Recherche unifiée liste + carte -----------------------------------------\n268\t# Une seule vérité partagée : la même requête sert la page de liste ET les\n269\t# points de la carte, dans la même réponse. Le compteur affiché en tête de\n270\t# liste est par construction égal au nombre de points envoyés à la carte.\n271\t\n272\t_SEARCH_SORTS = {\n273\t \"prix\": \" ORDER BY price IS NULL, price ASC\",\n274\t \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n275\t \"recent\": \" ORDER BY first_seen DESC, price IS NULL, price ASC\",\n276\t \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n277\t \" price IS NULL, price ASC\"),\n278\t \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n279\t \" price IS NULL, price ASC\"),\n280\t}\n281\t\n282\t# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n283\t_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n284\t \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n285\t \" ks.services AS ks_services, ks.global AS ks_global\")\n286\t_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n287\t_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n288\t\n289\t\n290\tdef _parse_poly(poly: str) -> list[tuple[float, float]]:\n291\t \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n292\t try:\n293\t pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n294\t except ValueError:\n295\t raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n296\t if len(pts) < 3 or any(len(p) != 2 for p in pts):\n297\t raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n298\t return pts # type: ignore[return-value]\n299\t\n300\t\n301\tdef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n302\t \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n303\t inside = False\n304\t j = len(ring) - 1\n305\t for i in range(len(ring)):\n306\t xi, yi = ring[i]\n307\t xj, yj = ring[j]\n308\t if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n309\t inside = not inside\n310\t j = i\n311\t return inside\n312\t\n313\t\n314\t@app.get(\"/api/search\")\n315\tdef search_unified(\n316\t city: str | None = None,\n317\t sector: str | None = None,\n318\t unit_type: str | None = None,\n319\t source: str | None = None,\n320\t price_max: float | None = None,\n321\t price_min: float | None = None,\n322\t pets: str | None = None,\n323\t furnished: int | None = None,\n324\t available_by: str | None = None,\n325\t area_min: float | None = None,\n326\t q: str | None = None,\n327\t deal: str | None = None, # sous | marche | sur (juste valeur)\n328\t bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n329\t poly: str | None = None, # lng,lat;… (zone dessinée)\n330\t kascore_min: float | None = None, # KA Score global minimal (0-100)\n331\t sort: str = \"recent\", # recent (défaut) | prix | prix_desc | deal | ka\n332\t page: int = 1,\n333\t page_size: int = Query(20, ge=1, le=100),\n334\t include: str = \"tout\", # tout | liste (points inchangés côté client)\n335\t):\n336\t \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n337\t\n338\t Retourne `total` (compteur partagé), `listings` (la page demandée) et\n339\t `points` (TOUS les points correspondants, format compact\n340\t [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n341\t position d'un point dans `points` donne directement sa page de liste.\n342\t Seules les annonces géolocalisées participent (la règle d'or : chaque\n343\t annonce de la liste est visible sur la carte) ; `unpositioned` compte\n344\t les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n345\t \"\"\"\n346\t if sort not in _SEARCH_SORTS:\n347\t raise HTTPException(400, f\"sort inconnu : {sort}\")\n348\t ring = _parse_poly(poly) if poly else None\n349\t\n350\t con = db.connect()\n351\t sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n352\t \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n353\t \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n354\t args: list = []\n355\t if bbox:\n356\t try:\n357\t west, south, east, north = (float(v) for v in bbox.split(\",\"))\n358\t except ValueError:\n359\t raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n360\t sql += (\" AND listings.lat BETWEEN ? AND ?\"\n361\t \" AND listings.lng BETWEEN ? AND ?\")\n362\t args += [south, north, west, east]\n363\t if ring:\n364\t # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n365\t lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n366\t sql += (\" AND listings.lat BETWEEN ? AND ?\"\n367\t \" AND listings.lng BETWEEN ? AND ?\")\n368\t args += [min(lats), max(lats), min(lngs), max(lngs)]\n369\t if city:\n370\t sql += \" AND city=?\"; args.append(city)\n371\t if sector:\n372\t sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n373\t if unit_type:\n374\t sql += \" AND unit_type=?\"; args.append(unit_type)\n375\t if source:\n376\t sql += \" AND source=?\"; args.append(source)\n377\t if price_max is not None:\n378\t sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n379\t if price_min is not None:\n380\t sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n381\t if pets == \"oui\":\n382\t sql += \" AND pets IN ('oui','conditions')\"\n383\t elif pets:\n384\t sql += \" AND pets=?\"; args.append(pets)\n385\t if furnished in (0, 1):\n386\t sql += \" AND furnished=?\"; args.append(furnished)\n387\t if available_by:\n388\t sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n389\t \" AND availability_date<=?))\"\n390\t args.append(available_by)\n391\t if area_min is not None:\n392\t sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n393\t if q:\n394\t sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n395\t args += [f\"%{q}%\"] * 3\n396\t if deal in (\"sous\", \"marche\", \"sur\"):\n397\t sql += \" AND fv.verdict=?\"; args.append(deal)\n398\t if kascore_min is not None:\n399\t sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n400\t args.append(kascore_min)\n401\t\n402\t rows = con.execute(\n403\t \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n404\t \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n405\t args).fetchall()\n406\t if ring:\n407\t rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n408\t total = len(rows)\n409\t\n410\t # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n411\t # tableau détermine la page (points et liste partagent le même tri)\n412\t points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n413\t _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n414\t\n415\t # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n416\t last = max(1, -(-total // page_size))\n417\t page = min(max(1, page), last)\n418\t page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n419\t\n420\t listings: list[dict] = []\n421\t if page_uids:\n422\t marks = \",\".join(\"?\" * len(page_uids))\n423\t by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n424\t \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n425\t \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n426\t \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n427\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n428\t f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n429\t listings = [by_uid[u] for u in page_uids if u in by_uid]\n430\t\n431\t # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n432\t sql_nogeo = sql.replace(\n433\t \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n434\t \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n435\t args_nogeo = list(args)\n436\t for spatial in (bbox, poly):\n437\t if spatial:\n438\t sql_nogeo = sql_nogeo.replace(\n439\t \" AND listings.lat BETWEEN ? AND ?\"\n440\t \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n441\t del args_nogeo[0:4]\n442\t unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n443\t args_nogeo).fetchone()[\"c\"]\n444\t con.close()\n445\t\n446\t return {\n447\t \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n448\t \"listings\": listings,\n449\t \"points\": points if include != \"liste\" else None,\n450\t \"unpositioned\": unpositioned,\n451\t }\n452\t\n453\t\n454\t# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n455\t# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n456\t# /api/img?u=&w=480. Seules les URLs déjà vérifiées par le contrôle\n457\t# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n458\t# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n459\t_IMG_WIDTHS = (160, 480, 800, 1280)\n460\t_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n461\t\n462\t\n463\t@app.get(\"/api/img\")\n464\tdef img_thumbnail(u: str, w: int = 480):\n465\t import hashlib\n466\t import requests as _rq\n467\t from fastapi.responses import Response\n468\t w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n469\t if not u.startswith((\"http://\", \"https://\")):\n470\t raise HTTPException(400, \"URL invalide\")\n471\t key = hashlib.sha1(u.encode()).hexdigest()\n472\t _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n473\t path = _IMG_CACHE / f\"{key}_{w}.webp\"\n474\t headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n475\t if path.exists():\n476\t return Response(path.read_bytes(), media_type=\"image/webp\",\n477\t headers=headers)\n478\t con = db.connect()\n479\t known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n480\t (u,)).fetchone()\n481\t con.close()\n482\t if known is None or known[\"status\"] not in (\"ok\",):\n483\t raise HTTPException(404, \"image inconnue du contrôle qualité\")\n484\t try:\n485\t resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n486\t resp.raise_for_status()\n487\t from io import BytesIO\n488\t from PIL import Image, ImageOps\n489\t img = Image.open(BytesIO(resp.content))\n490\t img = ImageOps.exif_transpose(img)\n491\t if img.mode not in (\"RGB\", \"L\"):\n492\t img = img.convert(\"RGB\")\n493\t if img.width > w:\n494\t img = img.resize((w, max(1, round(img.height * w / img.width))),\n495\t Image.LANCZOS)\n496\t buf = BytesIO()\n497\t img.save(buf, \"WEBP\", quality=80, method=4)\n498\t data = buf.getvalue()\n499\t path.write_bytes(data)\n500\t return Response(data, media_type=\"image/webp\", headers=headers)\n501\t except HTTPException:\n502\t raise\n503\t except Exception:\n504\t raise HTTPException(404, \"image irrécupérable\")\n505\t\n506\t\n507\t@app.get(\"/api/listings/{uid}/pdf\")\n508\tdef listing_pdf(uid: str):\n509\t \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n510\t from fastapi.responses import Response\n511\t from . import pdfgen\n512\t data = pdfgen.fiche_pdf(uid)\n513\t if data is None:\n514\t raise HTTPException(404, \"Annonce introuvable\")\n515\t nom = uid.replace(\":\", \"-\")\n516\t return Response(content=data, media_type=\"application/pdf\", headers={\n517\t \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n518\t\n519\t\n520\t@app.get(\"/api/stats/rapport.pdf\")\n521\tdef rapport_marche_pdf():\n522\t \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n523\t from fastapi.responses import Response\n524\t from . import pdfgen\n525\t return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n526\t headers={\"Content-Disposition\":\n527\t 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n528\t\n529\t\n530\t@app.get(\"/api/fairvalue/{uid}\")\n531\tdef fairvalue_detail(uid: str):\n532\t \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n533\t distribution du segment (voir louka/fairvalue.py).\"\"\"\n534\t from . import fairvalue\n535\t d = fairvalue.explain(uid)\n536\t if d is None:\n537\t raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n538\t return d\n539\t\n540\t\n541\t@app.get(\"/api/listings/{uid}\")\n542\tdef get_listing(uid: str):\n543\t con = db.connect()\n544\t row = con.execute(\n545\t \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n546\t \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n547\t \" fv.confidence AS fv_confidence\"\n548\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n549\t \" WHERE uid=?\", (uid,)).fetchone()\n550\t d = None\n551\t if row is not None:\n552\t d = _row_to_dict(row)\n553\t # commodités de proximité (cache par immeuble, voir louka/poi.py)\n554\t if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n555\t key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n556\t poi_row = con.execute(\n557\t \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n558\t d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n559\t else:\n560\t d[\"poi\"] = []\n561\t # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n562\t if d.get(\"coord_key\"):\n563\t ks = con.execute(\n564\t \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n565\t \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n566\t (d[\"coord_key\"],)).fetchone()\n567\t if ks is not None:\n568\t d[\"kascores\"] = {\n569\t \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n570\t \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n571\t \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n572\t \"details\": json.loads(ks[\"details\"] or \"{}\"),\n573\t \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n574\t }\n575\t # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n576\t from . import quartier\n577\t dauid = d.get(\"dauid\")\n578\t d[\"quartier\"] = quartier.fiche_quartier(\n579\t d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n580\t dauid if dauid and dauid != \"hors-zone\" else None)\n581\t # description structurée + historique de prix\n582\t d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\n583\t d[\"price_history\"] = [dict(r) for r in con.execute(\n584\t \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 6\",\n585\t (uid,)).fetchall()]\n586\t con.close()\n587\t if d is None:\n588\t raise HTTPException(404, \"Annonce introuvable\")\n589\t return d\n590\t\n591\t\n592\t@app.get(\"/api/kascores/stats\")\n593\tdef kascores_stats():\n594\t \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n595\t from . import kascores\n596\t return kascores.stats()\n597\t\n598\t\n599\t@app.get(\"/api/facets\")\n600\tdef facets(city: str | None = None):\n601\t \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n602\t\n603\t `city` (optionnel) restreint la liste des quartiers à cette ville —\n604\t utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n605\t \"\"\"\n606\t con = db.connect()\n607\t sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n608\t \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n609\t \" AND sector<>''\")\n610\t sector_args: list = []\n611\t if city:\n612\t sector_sql += \" AND city=?\"\n613\t sector_args.append(city)\n614\t out = {\n615\t \"cities\": [r[\"city\"] for r in con.execute(\n616\t \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n617\t \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n618\t \"sectors\": [r[\"sector\"] for r in con.execute(\n619\t sector_sql + \" ORDER BY sector\", sector_args)],\n620\t \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n621\t \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n622\t \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n623\t \"sources\": [dict(r) for r in con.execute(\n624\t \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n625\t \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n626\t }\n627\t con.close()\n628\t return out\n629\t\n630\t\n631\t@app.get(\"/api/sources\")\n632\tdef sources():\n633\t registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n634\t con = db.connect()\n635\t counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n636\t \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n637\t \" GROUP BY source\")}\n638\t last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n639\t \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n640\t con.close()\n641\t for s in registry:\n642\t s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n643\t s[\"last_sync\"] = last.get(s[\"id\"])\n644\t return {\"sources\": registry}\n645\t\n646\t\n647\t# Villes de la grande région de Montréal (le reste de la province est\n648\t# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n649\t_VILLES_GM = (\n650\t \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n651\t \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n652\t \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n653\t \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n654\t \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n655\t \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n656\t \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n657\t \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n658\t)\n659\t\n660\t\n661\t@app.get(\"/api/stats\")\n662\tdef stats():\n663\t con = db.connect()\n664\t gm = \",\".join(\"?\" * len(_VILLES_GM))\n665\t row = con.execute(\n666\t f\"\"\"SELECT COUNT(*) total,\n667\t SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n668\t SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n669\t SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n670\t SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n671\t THEN 1 ELSE 0 END) autres,\n672\t COUNT(DISTINCT source) sources,\n673\t AVG(price) avg_price\n674\t FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n675\t list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n676\t log = [dict(r) for r in con.execute(\n677\t \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n678\t # qualité des données : complétude moyenne + quarantaine (quality.py)\n679\t qual = con.execute(\n680\t \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n681\t SUM(published=1) publiees, SUM(published=0) quarantaine\n682\t FROM listings WHERE active=1\"\"\"\n683\t ).fetchone()\n684\t con.close()\n685\t return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n686\t\n687\t\n688\t@app.get(\"/api/stats/detailed\")\n689\tdef stats_detailed():\n690\t \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n691\t from . import marketstats\n692\t return marketstats.compute()\n693\t\n694\t\n695\t# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n696\t_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n697\t\n698\t\n699\t@app.get(\"/api/stats/dashboard\")\n700\tdef stats_dashboard(period: str = \"30j\",\n701\t from_: str | None = Query(None, alias=\"from\"),\n702\t to: str | None = None):\n703\t \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n704\t from . import statsdash\n705\t if period not in _PERIODES_VALIDES and not (from_ and to):\n706\t period = \"30j\"\n707\t return statsdash.compute(period, from_, to)\n708\t\n709\t\n710\t@app.get(\"/api/stats/report\")\n711\tdef stats_report(period: str = \"30j\",\n712\t from_: str | None = Query(None, alias=\"from\"),\n713\t to: str | None = None,\n714\t mode: str = \"complet\"):\n715\t \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n716\t complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n717\t from fastapi.responses import Response\n718\t from . import kapdf, statsdash\n719\t if period not in _PERIODES_VALIDES:\n720\t period = \"perso\" if (from_ and to) else \"30j\"\n721\t if mode not in kapdf.REPORT_MODES:\n722\t mode = \"complet\"\n723\t dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n724\t from_, to)\n725\t eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n726\t \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n727\t site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n728\t data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n729\t fname = kapdf.filename(\"lou-ka\", period, mode)\n730\t return Response(content=data, media_type=\"application/pdf\",\n731\t headers={\"Content-Disposition\":\n732\t f'attachment; filename=\"{fname}\"'})\n733\t\n734\t\n735\t\n736\t@app.post(\"/api/sync\")\n737\tdef trigger_sync(background: BackgroundTasks, source: str | None = None):\n738\t \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n739\t def _job():\n740\t with _sync_lock:\n741\t ingest.run([source] if source else None)\n742\t background.add_task(_job)\n743\t return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n744\t\n745\t\n746\t# --- Frontend React (build Vite) --------------------------------------------\n747\tif FRONTEND_DIST.exists():\n748\t app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n749\t\n750\t # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n751\t # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n752\t from . import seo # noqa: E402\n753\t app.include_router(seo.router)\n754\t\n755\t @app.middleware(\"http\")\n756\t async def _cache_headers(request, call_next):\n757\t \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n758\t mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n759\t gardent une vieille version de l'app après un déploiement.\"\"\"\n760\t resp = await call_next(request)\n761\t path = request.url.path\n762\t if path.startswith(\"/assets/\"):\n763\t resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n764\t elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n765\t resp.headers[\"Cache-Control\"] = \"no-cache\"\n766\t return resp\n767\t\n768\t # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n769\t # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n770\t # routeur React affiche sa page « introuvable », les moteurs de recherche\n771\t # voient un vrai 404 (fin des soft-404).\n772\t _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n773\t \"contact\", \"juste-valeur\"}\n774\t _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n775\t\n776\t @app.get(\"/{full_path:path}\")\n777\t def spa(full_path: str):\n778\t target = FRONTEND_DIST / full_path\n779\t if full_path and target.is_file():\n780\t return FileResponse(target)\n781\t known = (full_path in _CLIENT_ROUTES\n782\t or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n783\t for p in _CLIENT_PREFIXES))\n784\t return FileResponse(FRONTEND_DIST / \"index.html\",\n785\t status_code=200 if known else 404,\n786\t headers={\"Cache-Control\": \"no-cache\"})\n787\t"}]},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"638bcf10-50e5-4867-bd67-808c51e511bf","timestamp":"2026-08-22T23:33:22.311Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, ingest\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, price ASC LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n\n Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n fiches de la carte sont inclus (1 photo, pas de description).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n pour afficher « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n \" availability_date, source, city, sector, area_sqft, images,\"\n \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n \" fv.deviation AS fv_deviation\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n \"price\": r[\"price\"],\n \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n \"availability_date\": r[\"availability_date\"],\n \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n \"area_sqft\": r[\"area_sqft\"],\n \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n# --- Recherche unifiée liste + carte -----------------------------------------\n# Une seule vérité partagée : la même requête sert la page de liste ET les\n# points de la carte, dans la même réponse. Le compteur affiché en tête de\n# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC, price IS NULL, price ASC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n \" ks.services AS ks_services, ks.global AS ks_global\")\n_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n\n\ndef _parse_poly(poly: str) -> list[tuple[float, float]]:\n \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n try:\n pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n except ValueError:\n raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n if len(pts) < 3 or any(len(p) != 2 for p in pts):\n raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n return pts # type: ignore[return-value]\n\n\ndef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n inside = False\n j = len(ring) - 1\n for i in range(len(ring)):\n xi, yi = ring[i]\n xj, yj = ring[j]\n if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n inside = not inside\n j = i\n return inside\n\n\n@app.get(\"/api/search\")\ndef search_unified(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"recent\", # recent (défaut) | prix | prix_desc | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [south, north, west, east]\n if ring:\n # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [min(lats), max(lats), min(lngs), max(lngs)]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n\n rows = con.execute(\n \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n args).fetchall()\n if ring:\n rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n total = len(rows)\n\n # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n # tableau détermine la page (points et liste partagent le même tri)\n points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n\n # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n last = max(1, -(-total // page_size))\n page = min(max(1, page), last)\n page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n\n listings: list[dict] = []\n if page_uids:\n marks = \",\".join(\"?\" * len(page_uids))\n by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n listings = [by_uid[u] for u in page_uids if u in by_uid]\n\n # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n sql_nogeo = sql.replace(\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n args_nogeo = list(args)\n for spatial in (bbox, poly):\n if spatial:\n sql_nogeo = sql_nogeo.replace(\n \" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n del args_nogeo[0:4]\n unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n args_nogeo).fetchone()[\"c\"]\n con.close()\n\n return {\n \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n \"listings\": listings,\n \"points\": points if include != \"liste\" else None,\n \"unpositioned\": unpositioned,\n }\n\n\n# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n# /api/img?u=&w=480. Seules les URLs déjà vérifiées par le contrôle\n# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n_IMG_WIDTHS = (160, 480, 800, 1280)\n_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n\n\n@app.get(\"/api/img\")\ndef img_thumbnail(u: str, w: int = 480):\n import hashlib\n import requests as _rq\n from fastapi.responses import Response\n w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n if not u.startswith((\"http://\", \"https://\")):\n raise HTTPException(400, \"URL invalide\")\n key = hashlib.sha1(u.encode()).hexdigest()\n _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n path = _IMG_CACHE / f\"{key}_{w}.webp\"\n headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n if path.exists():\n return Response(path.read_bytes(), media_type=\"image/webp\",\n headers=headers)\n con = db.connect()\n known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n (u,)).fetchone()\n con.close()\n if known is None or known[\"status\"] not in (\"ok\",):\n raise HTTPException(404, \"image inconnue du contrôle qualité\")\n try:\n resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n resp.raise_for_status()\n from io import BytesIO\n from PIL import Image, ImageOps\n img = Image.open(BytesIO(resp.content))\n img = ImageOps.exif_transpose(img)\n if img.mode not in (\"RGB\", \"L\"):\n img = img.convert(\"RGB\")\n if img.width > w:\n img = img.resize((w, max(1, round(img.height * w / img.width))),\n Image.LANCZOS)\n buf = BytesIO()\n img.save(buf, \"WEBP\", quality=80, method=4)\n data = buf.getvalue()\n path.write_bytes(data)\n return Response(data, media_type=\"image/webp\", headers=headers)\n except HTTPException:\n raise\n except Exception:\n raise HTTPException(404, \"image irrécupérable\")\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n data = pdfgen.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Annonce introuvable\")\n nom = uid.replace(\":\", \"-\")\n return Response(content=data, media_type=\"application/pdf\", headers={\n \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_marche_pdf():\n \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n\n\n@app.get(\"/api/fairvalue/{uid}\")\ndef fairvalue_detail(uid: str):\n \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n distribution du segment (voir louka/fairvalue.py).\"\"\"\n from . import fairvalue\n d = fairvalue.explain(uid)\n if d is None:\n raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # commodités de proximité (cache par immeuble, voir louka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n if d.get(\"coord_key\"):\n ks = con.execute(\n \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n (d[\"coord_key\"],)).fetchone()\n if ks is not None:\n d[\"kascores\"] = {\n \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n \"details\": json.loads(ks[\"details\"] or \"{}\"),\n \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n }\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n # description structurée + historique de prix\n d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\n d[\"price_history\"] = [dict(r) for r in con.execute(\n \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 6\",\n (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Annonce introuvable\")\n return d\n\n\n@app.get(\"/api/kascores/stats\")\ndef kascores_stats():\n \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n from . import kascores\n return kascores.stats()\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `city` (optionnel) restreint la liste des quartiers à cette ville —\n utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n \"\"\"\n con = db.connect()\n sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND sector<>''\")\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n if period not in _PERIODES_VALIDES:\n period = \"perso\" if (from_ and to) else \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n from_, to)\n eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"lou-ka\", period, mode)\n return Response(content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{fname}\"'})\n\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n gardent une vieille version de l'app après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n # routeur React affiche sa page « introuvable », les moteurs de recherche\n # voient un vrai 404 (fin des soft-404).\n _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n \"contact\", \"juste-valeur\"}\n _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path in _CLIENT_ROUTES\n or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","numLines":787,"startLine":1,"totalLines":787}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"cd4db7da-10b0-414a-8d2c-9b36d0aac6ef","session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfJfU9EKzELLYwNUyqP","type":"message","role":"assistant","content":[{"type":"text","text":"Je lis le frontend (App.tsx, Home.tsx) pour l'onglet et la page."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16875,"cache_read_input_tokens":76975,"cache_creation":{"ephemeral_5m_input_tokens":16875,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"cb752d04-bc90-43b8-b390-f2471fbf8c08"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJfJfU9EKzELLYwNUyqP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ujki1hDEQMwdoX13h3S5TD","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Home.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16875,"cache_read_input_tokens":76975,"cache_creation":{"ephemeral_5m_input_tokens":16875,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"e18e0ffd-e432-4a92-b818-d0723a1351d1","uuid":"b742f67b-5e25-40fe-b00d-4afc9a5db020"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LhokLM3SN86ov7QB2mpDA7","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// App.tsx : layout global (header + ticker en direct + footer encre) et routage\n5\t// -----------------------------------------------------------------------------\n6\timport { useEffect, useState } from \"react\";\n7\timport { createPortal } from \"react-dom\";\n8\timport { NavLink, Route, Routes, useLocation } from \"react-router-dom\";\n9\timport {\n10\t fetchAuthConfig, fetchFacets, fetchSources, fetchStats,\n11\t logout, registerSourceNames, sourceName,\n12\t} from \"./api\";\n13\timport { AccountProvider, useAccount } from \"./account\";\n14\timport CookieConsent from \"./components/CookieConsent\";\n15\timport {\n16\t IcoChart, IcoCompass, IcoDoc, IcoFolder, IcoHeart, IcoHouse, IcoLock,\n17\t IcoMap, IcoSearch, IcoUser,\n18\t} from \"./components/Icons\";\n19\timport { LogoIcon } from \"./components/Logo\";\n20\timport GroupeKaBadge from \"./ka/GroupeKaBadge\";\n21\timport KaFooter from \"./ka/KaFooter\";\n22\timport ContactPage from \"./pages/Contact\";\n23\timport Home from \"./pages/Home\";\n24\timport ListingPage from \"./pages/Listing\";\n25\timport BotPage from \"./pages/Bot\";\n26\timport JusteValeurPage from \"./pages/JusteValeur\";\n27\timport KaScoresPage from \"./pages/KaScores\";\n28\timport PasserellePage from \"./pages/Passerelle\";\n29\timport PrivacyPage from \"./pages/Privacy\";\n30\timport ProfilePage from \"./pages/Profile\";\n31\timport PublicProfilePage from \"./pages/PublicProfile\";\n32\timport BienvenuePage from \"./pages/Bienvenue\";\n33\timport FavorisPage from \"./pages/Favoris\";\n34\timport GestionPage from \"./pages/Gestion\";\n35\timport GestionPublicPage from \"./pages/GestionPublic\";\n36\timport TermsPage from \"./pages/Terms\";\n37\timport SourcesPage from \"./pages/Sources\";\n38\timport StatsPage from \"./pages/Stats\";\n39\timport VillePage, { VillesPage } from \"./pages/Ville\";\n40\t\n41\tfunction Ticker() {\n42\t const [items, setItems] = useState([]);\n43\t\n44\t useEffect(() => {\n45\t Promise.all([fetchStats(), fetchFacets(), fetchSources()])\n46\t .then(([stats, facets, src]) => {\n47\t registerSourceNames(src.sources);\n48\t const parts: string[] = [\n49\t `${stats.total} logements actifs`,\n50\t `Québec ${stats.quebec ?? 0}`,\n51\t `Lévis ${stats.levis ?? 0}`,\n52\t ];\n53\t if ((stats.montreal ?? 0) > 0) parts.push(`Grand Montréal ${stats.montreal}`);\n54\t if (stats.avg_price != null)\n55\t parts.push(`Loyer moyen ${Math.round(stats.avg_price)} $`);\n56\t for (const s of facets.sources.slice(0, 10))\n57\t parts.push(`${sourceName(s.source)} · ${s.n}`);\n58\t parts.push(\"Mise à jour automatique\");\n59\t setItems(parts);\n60\t })\n61\t .catch(() => setItems([\"Lou-Ka — logements à louer au Québec\"]));\n62\t }, []);\n63\t\n64\t if (items.length === 0) return null;\n65\t // contenu doublé pour une boucle de défilement continue\n66\t return (\n67\t
\n68\t
\n69\t {[...items, ...items].map((t, i) => (\n70\t {t}\n71\t ))}\n72\t
\n73\t
\n74\t );\n75\t}\n76\t\n77\tconst NAV_LINKS = [\n78\t { to: \"/\", label: \"Logements\", icon: , end: true },\n79\t { to: \"/?view=carte\", label: \"Carte\", icon: , end: false, force: true },\n80\t { to: \"/stats\", label: \"Stats\", icon: , end: false },\n81\t { to: \"/sources\", label: \"Sources\", icon: , end: false },\n82\t { to: \"/contact\", label: \"Contact\", icon: , end: false },\n83\t { to: \"/conditions\", label: \"Conditions\", icon: , end: false },\n84\t { to: \"/confidentialite\", label: \"Confidentialité\", icon: , end: false },\n85\t];\n86\t\n87\t/** Bouton « Connexion » ou avatar + menu compte (connexion Google) */\n88\tfunction AccountMenu() {\n89\t const [enabled, setEnabled] = useState(false);\n90\t const { me, refresh } = useAccount();\n91\t const [menuOpen, setMenuOpen] = useState(false);\n92\t\n93\t useEffect(() => {\n94\t fetchAuthConfig().then((c) => setEnabled(c.ka || c.google)).catch(() => {});\n95\t }, []);\n96\t\n97\t // menu ouvert : fermeture à Escape (le tap extérieur passe par le backdrop)\n98\t useEffect(() => {\n99\t if (!menuOpen) return;\n100\t const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setMenuOpen(false); };\n101\t window.addEventListener(\"keydown\", onKey);\n102\t return () => window.removeEventListener(\"keydown\", onKey);\n103\t }, [menuOpen]);\n104\t\n105\t if (!enabled) return null;\n106\t if (!me) {\n107\t return (\n108\t \n109\t \n124\t KA\n125\t \n126\t Connexion\n127\t \n128\t );\n129\t }\n130\t return (\n131\t
\n132\t setMenuOpen(!menuOpen)}\n135\t aria-expanded={menuOpen}\n136\t aria-label={`Compte : ${me.name || me.email}`}\n137\t >\n138\t {me.picture\n139\t ? \"\"\n140\t : {(me.name || me.email).charAt(0).toUpperCase()}}\n141\t \n142\t {menuOpen && (\n143\t <>\n144\t {/* Backdrop rendu à la racine (createPortal) : le backdrop-filter du\n145\t header re-parentait le position:fixed → voile limité au header. */}\n146\t {createPortal(\n147\t
setMenuOpen(false)} aria-hidden=\"true\" />,\n148\t document.body,\n149\t )}\n150\t
\n151\t
\n152\t {me.name || \"Mon compte\"}\n153\t {me.email}\n154\t {me.ka_id && {me.ka_id}}\n155\t
\n156\t setMenuOpen(false)}\n161\t >\n162\t Mon profil\n163\t \n164\t {me.role === \"locataire\" && (\n165\t setMenuOpen(false)}\n170\t >\n171\t Mes favoris\n172\t \n173\t )}\n174\t {me.role === \"gestionnaire\" && (\n175\t setMenuOpen(false)}\n180\t >\n181\t Ma page gestion\n182\t \n183\t )}\n184\t {!me.role && (\n185\t setMenuOpen(false)}\n190\t >\n191\t Choisir mon profil\n192\t \n193\t )}\n194\t { await logout(); refresh(); setMenuOpen(false); }}\n197\t >\n198\t Se déconnecter\n199\t \n200\t
\n201\t \n202\t )}\n203\t
\n204\t );\n205\t}\n206\t\n207\tfunction Header() {\n208\t const [open, setOpen] = useState(false);\n209\t const location = useLocation();\n210\t\n211\t // fermer le menu à chaque navigation + verrouiller le défilement en dessous\n212\t useEffect(() => { setOpen(false); }, [location]);\n213\t useEffect(() => {\n214\t document.documentElement.classList.toggle(\"ka-scroll-lock\", open);\n215\t return () => { document.documentElement.classList.remove(\"ka-scroll-lock\"); };\n216\t }, [open]);\n217\t\n218\t return (\n219\t <>\n220\t
\n221\t
\n222\t \n223\t \n224\t Lou-Ka\n225\t La porte d'entrée vers votre prochain chez-vous.\n226\t \n227\t \n228\t \n239\t \n240\t setOpen(!open)}\n245\t >\n246\t \n247\t \n248\t
\n249\t\n250\t {/* menu déroulant mobile */}\n251\t
\n252\t {NAV_LINKS.map((l, i) => (\n253\t \n259\t `mm-link ${isActive && !l.force ? \"active\" : \"\"}`}\n260\t onClick={() => setOpen(false)}\n261\t >\n262\t {l.icon}\n263\t {l.label}\n264\t →\n265\t \n266\t ))}\n267\t
\n268\t \n269\t
\n270\t
\n271\t Agrégateur indépendant — mis à jour automatiquement, chaque fiche\n272\t renvoie à l'annonce originale.\n273\t
\n274\t
\n275\t
\n276\t {open &&
setOpen(false)} aria-hidden=\"true\" />}\n277\t \n278\t \n279\t );\n280\t}\n281\t\n282\t/** Pied de page : rangée de navigation locale + footer commun Groupe KA. */\n283\tfunction Footer() {\n284\t return (\n285\t <>\n286\t
\n287\t
\n288\t \n289\t Lou-Ka — La porte d'entrée vers votre prochain chez-vous.\n290\t Agrégateur indépendant : chaque fiche renvoie vers l'annonce originale.\n291\t \n292\t Logements\n293\t Villes\n294\t Stats\n295\t Sources\n296\t Contact\n297\t window.dispatchEvent(new Event(\"louka:openConsent\"))}\n300\t >\n301\t Gérer mes témoins\n302\t \n303\t
\n304\t
\n305\t \n312\t \n313\t );\n314\t}\n315\t\n316\t/** Barre de navigation inférieure (mobile) — icône active en orange. */\n317\tfunction MobileTabBar() {\n318\t const location = useLocation();\n319\t const isCarte = new URLSearchParams(location.search).get(\"view\") === \"carte\";\n320\t const tabs = [\n321\t { to: \"/\", label: \"Rechercher\", icon: , on: location.pathname === \"/\" && !isCarte },\n322\t { to: \"/?view=carte\", label: \"Carte\", icon: , on: location.pathname === \"/\" && isCarte },\n323\t { to: \"/favoris\", label: \"Favoris\", icon: , on: location.pathname.startsWith(\"/favoris\") },\n324\t { to: \"/profil\", label: \"Profil\", icon: , on: location.pathname.startsWith(\"/profil\") },\n325\t ];\n326\t return (\n327\t \n335\t );\n336\t}\n337\t\n338\texport default function App() {\n339\t return (\n340\t \n341\t
\n342\t
\n343\t \n344\t } />\n345\t } />\n346\t } />\n347\t } />\n348\t } />\n349\t } />\n350\t } />\n351\t } />\n352\t } />\n353\t } />\n354\t } />\n355\t } />\n356\t } />\n357\t } />\n358\t } />\n359\t } />\n360\t } />\n361\t } />\n362\t } />\n363\t } />\n364\t \n368\t
\n369\t

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Le lien demandé n'existe pas.

\n371\t
\n372\t }\n373\t />\n374\t \n375\t \n376\t