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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UZBEtnWfS33N3kjsPj3wZR","type":"tool_result","content":"1\t# Gestion immobilière résidentielle au Québec — Liste exhaustive par ville/région\n2\t\n3\t> **Critère de rétention** : chaque compagnie listée possède un **site web affichant des appartements/logements à louer** (page « à louer », « disponibilités », listings avec prix, portail de location). Les firmes faisant uniquement de la gestion de copropriétés (syndicats), du commercial, ou des services B2B aux propriétaires sans annonces publiques sont exclues (listées en annexe).\n4\t>\n5\t> **Méthode** : recherches web intensives menées ville par ville (8 volets régionaux en parallèle), ~300 requêtes de recherche au total, vérification individuelle de chaque site (extraction de la page de location). Portails d'annonces tiers (Centris, Realtor.ca, LogisQuébec, Louer.ca, Kangalou, Zumper, etc.) exclus — seuls les gestionnaires/propriétaires-exploitants sont retenus.\n6\t>\n7\t> **Date de compilation** : 6 août 2026 — **~240 compagnies uniques vérifiées** (255 entrées régionales avant déduplication).\n8\t\n9\t---\n10\t\n11\t## Sommaire\n12\t\n13\t1. [Montréal (île)](#1-montréal-île) — 44 compagnies\n14\t2. [Québec + Lévis](#2-québec--lévis) — 39 compagnies\n15\t3. [Laval + Rive-Nord](#3-laval--rive-nord-laurentides) — 35 compagnies\n16\t4. [Longueuil + Rive-Sud / Montérégie](#4-longueuil--rive-sud--montérégie) — 30 compagnies\n17\t5. [Gatineau / Outaouais](#5-gatineau--outaouais) — 29 compagnies\n18\t6. [Sherbrooke / Estrie + Granby](#6-sherbrooke--estrie--granby) — 35 compagnies\n19\t7. [Trois-Rivières / Mauricie / Centre-du-Québec + Joliette](#7-trois-rivières--mauricie--centre-du-québec--lanaudière) — 33 compagnies\n20\t8. [Régions Est & Nord](#8-régions-est--nord) — 30 compagnies\n21\t9. [Gestionnaires multi-régions](#9-gestionnaires-multi-régions)\n22\t10. [Annexe — Compagnies exclues](#10-annexe--compagnies-exclues-vérifiées)\n23\t\n24\t---\n25\t\n26\t## 1. Montréal (île)\n27\t\n28\t| # | Nom | Site web | Secteurs desservis | Notes |\n29\t|---|---|---|---|---|\n30\t| 1 | Cogir Immobilier | https://www.cogir.net | Centre-ville, Ville-Marie, Westmount, Rosemont, Saint-Laurent, Griffintown + QC/ON | 23 000+ logements, 175 immeubles; unités, prix et demande en ligne |\n31\t| 2 | CAPREIT | https://www.capreit.ca | Montréal, Saint-Laurent, Pointe-Claire, Dorval, Côte-Saint-Luc, West Island | REIT pancanadien; recherche par ville/quartier |\n32\t| 3 | Minto Apartments | https://www.mintoapartments.com | Côte-des-Neiges (Rockhill, Le Hill-Park), centre-ville (Haddon Hall) | Suites, prix et disponibilités en ligne |\n33\t| 4 | Akelius Residential | https://rent.akelius.com | Plateau-Mont-Royal, Côte-des-Neiges, NDG | ~240 appartements affichés avec loyers |\n34\t| 5 | Hazelview Properties | https://www.hazelviewproperties.com/cities/montreal | Centre-ville (près McGill) | 20 000+ unités au Canada |\n35\t| 6 | InterRent REIT / CLV Group | https://www.irent.com | Centre-ville, Côte-Saint-Luc, NDG, Verdun | REIT; communautés avec unités et prix |\n36\t| 7 | Realstar Management | https://www.realstar.ca | Côte-Saint-Luc/Cavendish (Excelsior) | Gestionnaire national; plans et prix en ligne |\n37\t| 8 | MetCap Living | https://www.metcap.com | Plusieurs quartiers de Montréal | 240+ communautés au Canada; studios dès ~1 219 $ |\n38\t| 9 | Boardwalk REIT | https://www.bwalk.com | Île-des-Sœurs (Verdun), Ville Saint-Laurent | REIT, 33 000+ unités au Canada |\n39\t| 10 | GWL Realty Advisors Residential | https://www.gwlraresidential.com | Centre-ville / Quartier des spectacles (Le Livmore I & II) | Institutionnel (Canada Vie), ~820 unités |\n40\t| 11 | Cromwell Management | https://cromwellmgt.ca | Centre-ville, Côte-des-Neiges, Westmount | Propriétaire-gestionnaire montréalais historique |\n41\t| 12 | Mondev | https://mondev.ca | Ville-Marie, Griffintown, LaSalle, Outremont, Parc-Ex, Ahuntsic, Plateau, Saint-Laurent | ~30 immeubles locatifs neufs avec bureaux de location |\n42\t| 13 | Devimco Appartements | https://devimco.com/appartements | Centre-ville (Maestria, Alexander), Griffintown | Condos locatifs neufs, studio au penthouse |\n43\t| 14 | Samcon | https://www.samcon.ca | Villeray, Ahuntsic-Cartierville, Plateau, Ville-Marie | Promoteur montréalais; condos locatifs dès ~1 480 $ |\n44\t| 15 | Summit Property Management | https://www.summitmanagement.ca/apartments | Centre-ville et quartiers centraux | 3 000+ appartements (affilié Rimap) |\n45\t| 16 | Gestion Lameer | https://www.lameer.ca/properties | Ahuntsic, Lachine, LaSalle, Saint-Laurent, CDN/NDG, Côte-Saint-Luc, Plateau | Gestion pour tiers, 2 300+ unités résidentielles |\n46\t| 17 | MSI Gestion Immobilière | https://msimmobiliers.com | Ahuntsic, LaSalle, Lachine, CDN–NDG (+ Québec, Lévis, Laval, Longueuil) | 3 500 logements gérés, 25 ans |\n47\t| 18 | Gestion Montréal | https://gestion-montreal.com | Centre-ville, Verdun, Griffintown, LaSalle (+ Longueuil/Repentigny) | Dizaines d'annonces (appartements, studios, condos) |\n48\t| 19 | Groupe Denux | https://www.groupedenux.com | Centre-ville de Montréal | Tours résidentielles avec prix |\n49\t| 20 | Lofts MTL | https://www.loftsmtl.com | Quartiers centraux | Lofts/appartements rénovés (1 200–2 300 $) |\n50\t| 21 | Axia Appartements | https://www.axiaapartments.com | Lachine | Projet locatif neuf, location en ligne |\n51\t| 22 | Trylon Apartments | https://trylonmontreal.com | Centre-ville (av. des Pins) | ~150 appartements meublés/semi-meublés |\n52\t| 23 | Rester Management | https://www.rester.ca | Centre-ville, Milton-Parc (McGill) | Propriétés avec loyers et disponibilités |\n53\t| 24 | The Rental Agents | https://therentalagents.com | Plateau, centre-ville et autres | Courtage locatif; studios à condos de luxe |\n54\t| 25 | Rental Montreal (Cheff & Lanctôt) | https://rentalmontreal.com | Plateau, centre-ville, Vieux-Montréal, Outremont, Westmount | Centaines de propriétés meublées/non meublées |\n55\t| 26 | Accès International | https://www.accesinternational.com | Centre-ville, Griffintown, Outremont, Vieux-Montréal | Location de luxe, meublé |\n56\t| 27 | RAGQ | https://www.ragq.com | Centre-ville, Plateau, Rosemont, Villeray, Hochelaga, Sud-Ouest | Location meublée courte/longue durée + gestion |\n57\t| 28 | Gestion iParc | https://iparc.ca | Hochelaga-Maisonneuve, centre-ville, Berri-UQAM | Depuis 2003; ~24 annonces actives |\n58\t| 29 | Immomarketing (Immoappart) | https://immoappart.ca | Montréal + Rive-Sud/Rive-Nord + Québec | ~200 logements administrés, depuis 1984 |\n59\t| 30 | CAP Gestion / CAP Immobilier | https://capgestion.ca | Montréal-Nord, Pointe-aux-Trembles (+ Laurentides/Lanaudière) | Fiches détaillées d'annonces |\n60\t| 31 | Gestion Immobilière M.J | https://gestionmj.com | Ahuntsic-Cartierville / District Chabanel | Studios à 3 chambres avec prix |\n61\t| 32 | Gestion Immobilière Cora (Immcora) | https://www.immcora.com | Ahuntsic/Cartierville | Petit propriétaire-gestionnaire |\n62\t| 33 | Habitations Le Domaine | https://www.ledomaine.ca | Mercier–Hochelaga-Maisonneuve | OBNL, locatif abordable (2½ à 5½ dès 660 $) |\n63\t| 34 | SHDM | https://www.shdm.org | Île de Montréal (plusieurs arrondissements) | Société paramunicipale; logements abordables |\n64\t| 35 | Progim | https://progim.com | Grand Montréal (Montréal, Rive-Sud, Laval) | Gestionnaire depuis 1989 (siège Brossard) |\n65\t| 36 | Rentalys | https://www.rentalys.ca | Montréal | Gestion + coopératives; portail de location |\n66\t| 37 | Devloc | https://www.devloc.ca | Montréal et environs | ~87 logements à louer affichés |\n67\t| 38 | Localys | https://www.gestionlocalys.com | Grand Montréal (bureau à Verdun) | 240+ unités sous gestion |\n68\t| 39 | University Apartments (Werkliv) | https://universityapartments.ca | Centre-ville (McGill/Concordia) | Logement étudiant meublé |\n69\t| 40 | T.R.A.M.S Property Management | https://tramsmgmt.com | Kirkland, Dollard-des-Ormeaux, Anjou | 40+ ans; page de propriétés résidentielles à louer |\n70\t| 41 | Sotramont | https://sotramont.com | Pointe-Claire (Liveo), Bois-Franc | Condos locatifs neufs dès 1 970 $ |\n71\t| 42 | Nid d'Amour | https://niddamour.ca | Plateau, Verdun/Île-des-Sœurs, Outremont, Rosemont | Meublé/semi-meublé + gestion |\n72\t| 43 | Gestion Immobilière Groupe Théorêt | https://locationappartement.ca | Montréal (Pie-IX) + Laval, Terrebonne, Sainte-Thérèse, Charlemagne | Entreprise familiale depuis 1955 |\n73\t| 44 | Bons Locataires | https://www.bonslocataires.com | Montréal, Verdun + Laval, Rive-Sud | Agence de location/gestion locative; visites virtuelles |\n74\t\n75\t---\n76\t\n77\t## 2. Québec + Lévis\n78\t\n79\t### Gestionnaires / propriétaires multi-immeubles\n80\t\n81\t| # | Nom | Site web | Secteurs desservis | Notes |\n82\t|---|---|---|---|---|\n83\t| 1 | Logisco | https://logisco.com | Ste-Foy–Sillery–Cap-Rouge, Val-Bélair, Loretteville, Vanier, St-Augustin + Lévis (St-Romuald, St-Nicolas) | 6 000+ appartements; disponibilités par projet |\n84\t| 2 | Groupe Laberge | https://www.laberge.qc.ca | Ste-Foy, Beauport, Vanier, L'Ancienne-Lorette, Limoilou | 53 complexes locatifs; moteur de recherche d'unités |\n85\t| 3 | Cogir Immobilier | https://www.cogir.net | Québec (Le Bacc Ste-Foy, Loretteville, Montserrat…) | 9+ immeubles résidentiels à Québec |\n86\t| 4 | Immostar | https://immostar.ca / https://immostaralouer.ca | Ste-Foy/blvd Laurier, Cap-Rouge, Lévis, Wendake | Promoteur-gestionnaire; section « À louer » dédiée |\n87\t| 5 | DMA (Douville, Moffet & Associés) / Locago | https://locago.ca | Ste-Foy, Vanier, Lebourgneuf, Charlesbourg, Beauport | Complexes IDOLA, Le WOW, Le Pivot, L'Aristocrate… |\n88\t| 6 | Groupe Dallaire | https://groupedallaire.ca (https://faubourgdumoulin.ca) | Québec (Faubourg du Moulin — Alizé I-II) | Premier développeur de la région |\n89\t| 7 | Trudel | https://trudel.ca | Vanier/Fleur de Lys, Charlesbourg | Condos locatifs; équipe de location sur place |\n90\t| 8 | Immeubles Roussin | https://immeublesroussin.com | Sainte-Foy, Lévis, Beauport | 1 000+ portes (L'Aromate, L'Allié, La Vigie…) |\n91\t| 9 | Immeubles Simard | https://immeublessimard.com | Québec (Grande Allée, centre-ville) | Section « À louer / Appartements » |\n92\t| 10 | MSI Gestion immobilière | https://www.msimmobiliers.com | Québec (Limoilou, Beauport, Ste-Foy, Vanier) + Lévis | Gros gestionnaire tiers (25 ans) |\n93\t| 11 | Gestipro | https://gestipro.info | Ste-Foy, Sillery, Beauport, Limoilou + Lévis | Page « À louer » complète; gère aussi pour tiers |\n94\t| 12 | Logisma | https://logisma.ca | Ville de Québec | 740+ logements, studio au 5½ |\n95\t| 13 | Lafrance & Mathieu | https://lafrance-mathieu.com | Beauport, Charlesbourg, Limoilou, St-Roch, Lévis, Val-Bélair | ~70 logements affichés par secteur |\n96\t| 14 | Société immobilière Bélanger | https://sibelanger.com | Québec (St-Jean-Baptiste, Lebourgneuf) + Lévis | Meublé et non meublé; location 100 % en ligne |\n97\t| 15 | SDG Immobilier | https://www.sdgimmobilier.ca | Charlesbourg, Ste-Foy, Limoilou, Charny | 500+ logements, 40+ immeubles |\n98\t| 16 | SGIQ | https://gestionimmobilierequebec.com | Limoilou, St-Sauveur, Ste-Foy (Myrand), Sillery | ~150 logements affichés avec prix |\n99\t| 17 | GIM Côté | https://gimcote.com | Ste-Foy, Limoilou/Charlesbourg, Lévis | Propriétaire depuis 1985; listings avec prix |\n100\t| 18 | Logisbourg | https://www.logisbourg.com | Charlesbourg, Lebourgneuf, Beauport, Cité-Limoilou, Ste-Foy | 1 200+ appartements et condos locatifs |\n\n
Located in Toronto\\u2019s bustling Financial District, 90 Adelaide Street East offers a prime downtown address surrounded by world-class dining, shopping, entertainment, and business hubs. This location is perfect for professionals and anyone seeking the energy and convenience of city living in the heart of Toronto.
\\n\\nExcellent Transit & Connectivity:
\\nResidents of 90 Adelaide enjoy unparalleled connectivity. King Station and Queen Station (Line 1 \\u2013 Yonge-University) are just steps away, providing quick access to the entire TTC subway network. Streetcar and bus routes run along major downtown streets, and Union Station is a short walk for GO Transit and VIA Rail connections. For drivers, the Gardiner Expressway and Don Valley Parkway (DVP) are easily accessible, making commuting a breeze.
Shopping & Dining at Your Doorstep:
\\nThe Financial District and nearby neighborhoods offer endless shopping and dining opportunities. From upscale restaurants and trendy cafes to popular lunch spots and fine dining establishments, there\\u2019s something for every taste. The Toronto Eaton Centre is just a short walk away, featuring a wide range of retail stores and boutiques.
Parks & Recreation:
\\nDespite its urban setting, 90 Adelaide is close to several green spaces for outdoor enjoyment. St. James Park, with its historic gardens and walking paths, is steps away, while Berczy Park and the waterfront are also within walking distance. Residents will find fitness studios, gyms, and recreational facilities nearby, perfect for maintaining an active lifestyle.
Schools & Education:
\\nThis location is ideal for students and professionals alike. George Brown College\\u2019s St. James Campus is only minutes away, and Ryerson University (Toronto Metropolitan University) and the University of Toronto are easily accessible via transit.
A Vibrant Urban Community:
\\nLiving at 90 Adelaide means being at the center of Toronto\\u2019s financial, cultural, and entertainment districts. Enjoy easy access to theaters, art galleries, nightlife venues, and some of the city\\u2019s most iconic attractions. It\\u2019s a lively and welcoming neighborhood that truly never sleeps.
Your Downtown Advantage:
\\n90 Adelaide Street East combines the convenience of a central downtown location with all the amenities you need for a comfortable, connected lifestyle. Whether you\\u2019re a young professional, student, or city enthusiast, this address offers everything you need to thrive in Toronto.
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LeQ1wTLtePqvRQi2XK5zNL","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/centurion.py : connecteur Centurion / CP Living (cpliving.com)\n5\t# REIT national (Centurion Property Associates) — région de Québec : le\n6\t# Quartier QB, 2551 chemin des Quatre-Bourgeois (Sainte-Foy), 684 unités.\n7\t# Le site est propulsé par Rentsync : la page de recherche référence un\n8\t# proxy legacy `widgets/search/api_proxy.php?client_id=21&city_id=2310`\n9\t# (404 aujourd'hui) mais son JS (scripts/main.js) appelle en réalité le\n10\t# flux JSON officiel `https://api.theliftsystem.com/v2/search` avec un\n11\t# auth_token embarqué. On lit client_id/city_id sur la page, le token dans\n12\t# main.js (repli : constantes), puis on interroge le flux directement —\n13\t# aucune exécution JavaScript nécessaire, Cloudflare accepte le UA de base.\n14\t# Filtre région : city_ids 2310 (Ville de Québec) + 1039 (Gatineau, ajouté\n15\t# à l'expansion provinciale 2026-08) + garde-fou province/ville.\n16\t# La fiche propriété (rendu serveur) fournit la galerie photo, via le cache\n17\t# BD self.detail() (revisitée seulement quand le flux change).\n18\t# -----------------------------------------------------------------------------\n19\tfrom __future__ import annotations\n20\t\n21\timport hashlib\n22\timport re\n23\t\n24\tfrom bs4 import BeautifulSoup\n25\t\n26\tfrom ..schema import Listing, infer_city, normalize_unit_type, strip_accents\n27\tfrom .base import BaseConnector\n28\t\n29\tBASE = \"https://www.cpliving.com\"\n30\tSEARCH_PAGE = f\"{BASE}/apartments-for-rent/quebec-city\"\n31\tLIFT_API = \"https://api.theliftsystem.com/v2/search\"\n32\t\n33\t# Valeurs observées sur la page/main.js — repli si l'extraction dynamique casse\n34\tDEFAULT_CLIENT_ID = \"21\"\n35\tDEFAULT_CITY_ID = \"2310\" # Ville de Québec dans la base Lift/Rentsync\n36\tGATINEAU_CITY_ID = \"1039\" # Gatineau (expansion provinciale 2026-08)\n37\tDEFAULT_AUTH_TOKEN = \"sswpREkUtyeYjeoahA2i\"\n38\t\n39\t# Garde-fou région : villes couvertes — agglomération Québec/Lévis + Gatineau\n40\t# (clé sans accents, suffixe « QC » du flux retiré par _city_key)\n41\t_QC_CITIES = {\n42\t \"quebec\", \"ville de quebec\", \"quebec city\", \"sainte-foy\", \"ste-foy\",\n43\t \"sillery\", \"beauport\", \"charlesbourg\", \"cap-rouge\", \"levis\",\n44\t \"l-ancienne-lorette\", \"saint-augustin-de-desmaures\",\n45\t \"gatineau\", \"hull\", \"aylmer\",\n46\t}\n47\t\n48\t# jeton d'authentification dans main.js : `s=\"&client_id=21\",e=\"&auth_token=…\"`\n49\t_TOKEN_RE = r'client_id={cid}\",\\w+=\"&auth_token=([A-Za-z0-9]+)\"'\n50\t_MAINJS_RE = re.compile(r'src=\"(/scripts/main\\.js[^\"]*)\"')\n51\t# galerie de la fiche propriété (img + backgrounds CSS)\n52\t_IMG_RE = re.compile(\n53\t r\"https://assets\\.rentsync\\.com/[^\\\"'\\\\)\\s]+\\.(?:jpg|jpeg|png|webp)\", re.I)\n54\t_SKIP_IMG = re.compile(r\"logo|icon|favicon|badge|/thumb\", re.I)\n55\t\n56\t\n57\tdef _city_key(city: str) -> str:\n58\t key = strip_accents((city or \"\").strip().lower())\n59\t return re.sub(r\"\\s+qc$\", \"\", key) # le flux accole parfois la province\n60\t\n61\t\n62\tclass CenturionConnector(BaseConnector):\n63\t source_id = \"centurion\"\n64\t request_delay = 0.7\n65\t max_properties = 30 # garde-fou (1 propriété à Québec aujourd'hui)\n66\t max_images = 20\n67\t\n68\t # -- paramètres du flux (page + main.js, avec replis) ----------------------\n69\t def _feed_params(self) -> tuple[str, str, str]:\n70\t \"\"\"(client_id, city_id, auth_token) lus sur le site, replis constants.\"\"\"\n71\t client_id, city_id, token = (DEFAULT_CLIENT_ID, DEFAULT_CITY_ID,\n72\t DEFAULT_AUTH_TOKEN)\n73\t try:\n74\t page = self.get(SEARCH_PAGE).text\n75\t soup = BeautifulSoup(page, \"html.parser\")\n76\t data = soup.find(\"div\", class_=\"search-data\")\n77\t if data:\n78\t client_id = (data.get(\"data-client-id\") or client_id).strip()\n79\t city_id = (data.get(\"data-city-id\") or city_id).strip()\n80\t m = _MAINJS_RE.search(page)\n81\t if m:\n82\t js = self.get(BASE + m.group(1)).text\n83\t mt = re.search(_TOKEN_RE.format(cid=re.escape(client_id)), js)\n84\t if mt:\n85\t token = mt.group(1)\n86\t except Exception:\n87\t pass # replis : les constantes observées\n88\t return client_id, city_id, token\n89\t\n90\t def fetch(self) -> list[Listing]:\n91\t client_id, city_id, token = self._feed_params()\n92\t props = self.get(LIFT_API, params={\n93\t \"client_id\": client_id,\n94\t \"auth_token\": token,\n95\t \"city_ids\": f\"{city_id},{GATINEAU_CITY_ID}\",\n96\t \"show_all_properties\": \"true\",\n97\t \"show_custom_fields\": \"true\",\n98\t \"show_amenities\": \"true\",\n99\t \"show_promotions\": \"true\",\n100\t \"limit\": \"1000\",\n101\t }, headers={\"Accept\": \"application/json\",\n102\t \"Referer\": BASE + \"/\"}).json()\n103\t\n104\t listings: list[Listing] = []\n105\t for p in props[: self.max_properties]:\n106\t try:\n107\t addr = p.get(\"address\") or {}\n108\t if (addr.get(\"province_code\") or \"\").upper() != \"QC\":\n109\t continue # REIT national : rester dans la province\n110\t if _city_key(addr.get(\"city\", \"\")) not in _QC_CITIES:\n111\t continue # garde-fou région Québec/Lévis\n112\t listings.append(self._listing(p))\n113\t except Exception:\n114\t continue\n115\t return listings\n116\t\n117\t # -- une annonce par propriété ---------------------------------------------\n118\t def _listing(self, p: dict) -> Listing:\n119\t pid = str(p.get(\"id\"))\n120\t addr = p.get(\"address\") or {}\n121\t url = p.get(\"permalink\") or SEARCH_PAGE\n122\t name = (p.get(\"name\") or \"\").strip()\n123\t\n124\t # adresse complète : rue + ville + code postal (tous fournis au flux)\n125\t ck = _city_key(addr.get(\"city\", \"\"))\n126\t if ck in (\"quebec\", \"ville de quebec\", \"quebec city\"):\n127\t city = \"Québec\"\n128\t else: # retirer le suffixe province du flux (« Gatineau QC »)\n129\t city = re.sub(r\"\\s+QC$\", \"\", (addr.get(\"city\") or \"\").strip(),\n130\t flags=re.I)\n131\t street = (addr.get(\"address\") or \"\").strip()\n132\t postal = (addr.get(\"postal_code\") or \"\").strip()\n133\t full_addr = \", \".join(x for x in (street, city) if x)\n134\t if postal:\n135\t full_addr += f\", QC {postal}\"\n136\t sector = (addr.get(\"neighbourhood\") or \"\").strip()\n137\t\n138\t # coordonnées GPS structurées du flux\n139\t geo = p.get(\"geocode\") or {}\n140\t try:\n141\t lat = float(geo[\"latitude\"]) if geo.get(\"latitude\") else None\n142\t lng = float(geo[\"longitude\"]) if geo.get(\"longitude\") else None\n143\t except (TypeError, ValueError):\n144\t lat = lng = None\n145\t\n146\t # sommaire des unités disponibles (rempli seulement s'il y a vacance)\n147\t stats = ((p.get(\"statistics\") or {}).get(\"suites\") or {})\n148\t rates = stats.get(\"rates\") or {}\n149\t beds = stats.get(\"bedrooms\") or {}\n150\t baths = stats.get(\"bathrooms\") or {}\n151\t sqft = stats.get(\"square_feet\") or {}\n152\t price = float(rates[\"min\"]) if rates.get(\"min\") else None\n153\t price_label = \"\"\n154\t if price is not None:\n155\t price_label = (f\"À partir de {price:.0f} $\"\n156\t if rates.get(\"max\") and rates[\"max\"] != rates[\"min\"]\n157\t else f\"{price:.0f} $ /mois\")\n158\t # type d'unité : seulement si la gamme est sans ambiguïté\n159\t unit_type = \"\"\n160\t if beds.get(\"min\") is not None and beds.get(\"min\") == beds.get(\"max\"):\n161\t n = int(beds[\"min\"])\n162\t unit_type = \"Studio\" if n == 0 else normalize_unit_type(\n163\t f\"{n} chambres\")\n164\t # superficie : le flux publie parfois « 0.0 » (Gatineau) — ignorer\n165\t area = None\n166\t try:\n167\t v = float(sqft.get(\"min\") or 0)\n168\t if 80 <= v <= 20000:\n169\t area = v\n170\t except (TypeError, ValueError):\n171\t pass\n172\t\n173\t # disponibilité : libellé du flux (« No Vacancy », « X Vacancies »…)\n174\t availability = (p.get(\"availability_status_label\") or \"\").strip()\n175\t avail_date = None\n176\t mad = str(p.get(\"min_availability_date\") or \"\").strip()\n177\t if re.fullmatch(r\"20\\d{2}-\\d{2}-\\d{2}\", mad[:10]):\n178\t avail_date = mad[:10]\n179\t\n180\t # description : aperçu HTML du flux (rendu texte)\n181\t details_src = p.get(\"details\") or {}\n182\t desc = BeautifulSoup(details_src.get(\"overview\") or \"\",\n183\t \"html.parser\").get_text(\" \", strip=True)\n184\t promo = p.get(\"promotion\") or {}\n185\t promo_txt = (promo.get(\"title\") or promo.get(\"name\") or \"\").strip() \\\n186\t if isinstance(promo, dict) else \"\"\n187\t if promo_txt:\n188\t desc = f\"Promotion : {promo_txt}. {desc}\".strip()\n189\t\n190\t # commodités : liste du flux + champ personnalisé Rentsync (CSV)\n191\t amenities: list[str] = []\n192\t for a in p.get(\"amenities\") or []:\n193\t t = (a.get(\"name\") if isinstance(a, dict) else str(a) or \"\").strip()\n194\t if t and t not in amenities:\n195\t amenities.append(t)\n196\t cf = p.get(\"custom_fields\") or {}\n197\t for t in (cf.get(\"amenities\") or \"\").split(\",\"):\n198\t t = t.strip()\n199\t if t and t not in amenities:\n200\t amenities.append(t)\n201\t\n202\t # champs structurés du flux\n203\t details: dict = {}\n204\t contact = p.get(\"contact\") or {}\n205\t if contact.get(\"phone\"):\n206\t details[\"contact\"] = {\"phone\": contact[\"phone\"]}\n207\t if contact.get(\"email\"):\n208\t details.setdefault(\"contact\", {})[\"email\"] = contact[\"email\"]\n209\t # pet_friendly=false ne distingue pas « interdit » de « non renseigné »\n210\t pets = \"oui\" if p.get(\"pet_friendly\") is True else None\n211\t\n212\t # galerie photo de la fiche propriété — via le cache BD : revisitée\n213\t # seulement quand la ligne du flux change\n214\t feed_key = hashlib.sha1(\"|\".join(str(x) for x in (\n215\t p.get(\"availability_count\"), p.get(\"availability_status\"),\n216\t rates.get(\"min\"), rates.get(\"max\"), mad, p.get(\"photo\"),\n217\t )).encode(\"utf-8\")).hexdigest()\n218\t d = self.detail(pid, feed_key, lambda: self._fetch_gallery(url))\n219\t images = list(d.get(\"images\") or [])\n220\t photo = (p.get(\"photo_path\") or \"\").strip()\n221\t if photo and photo not in images:\n222\t images.insert(0, photo)\n223\t\n224\t return Listing(\n225\t source=self.source_id,\n226\t external_id=pid,\n227\t url=url,\n228\t title=name,\n229\t address=full_addr,\n230\t sector=sector,\n231\t city=infer_city(sector, default=city or \"Québec\"),\n232\t unit_type=unit_type,\n233\t price=price,\n234\t price_label=price_label,\n235\t availability=availability,\n236\t availability_date=avail_date,\n237\t area_sqft=area,\n238\t pets=pets,\n239\t description=desc[:600] + (\n240\t f\" Salles de bain : {baths['min']:g}+.\"\n241\t if baths.get(\"min\") else \"\"),\n242\t amenities=amenities[:25],\n243\t details=details,\n244\t images=images[: self.max_images],\n245\t lat=lat,\n246\t lng=lng,\n247\t )\n248\t\n249\t def _fetch_gallery(self, url: str) -> dict:\n250\t \"\"\"Scrape la galerie photo (assets.rentsync.com) de la fiche propriété.\"\"\"\n251\t out: dict = {\"images\": []}\n252\t try:\n253\t page = self.get(url).text\n254\t except Exception:\n255\t return out\n256\t images: list[str] = []\n257\t for u in _IMG_RE.findall(page):\n258\t if _SKIP_IMG.search(u):\n259\t continue\n260\t # variante pleine résolution de la galerie (…/gallery/full/…)\n261\t u = re.sub(r\"/gallery/\\d{3,4}/\", \"/gallery/full/\", u)\n262\t if u not in images:\n263\t images.append(u)\n264\t out[\"images\"] = images[: self.max_images]\n265\t return out\n266\t"}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"8905d591-c30d-49ab-9dfb-0fb9e148e4ca","timestamp":"2026-08-27T03:54:23.683Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NWeHbj6PtEP9agXNdCthdr","type":"tool_result","content":"301\n301 167","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"767e7d9b-cee9-4951-baad-a30fe2d21734","timestamp":"2026-08-27T03:54:30.253Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTGxkXTfSzznVPyoUH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yNJLNXqLr2TwpmJDRd29W","name":"Bash","input":{"command":"cd /tmp && curl -s -L -o /tmp/killam-home.html -w '%{http_code} %{size_download} %{url_effective}\\n' -A 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36' 'https://killamreit.com/apartments'","description":"Follow redirects on killamreit.com/apartments"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3967,"cache_read_input_tokens":35227,"cache_creation":{"ephemeral_5m_input_tokens":3967,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"e09aa6a0-13bf-4dc1-96c8-94a828530383"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaSnr5B3Y1KbfCcXvqT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NWeHbj6PtEP9agXNdCthdr","name":"Bash","input":{"command":"cd ~/apps/lou-ka && curl -s -o /dev/null -w '%{http_code}\\n' -A 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36' https://killamreit.com/ && curl -s -o /tmp/killam-home.html -w '%{http_code} %{size_download}\\n' -A 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36' 'https://killamreit.com/apartments'","description":"Probe killamreit.com with browser UA"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":11205,"cache_read_input_tokens":24022,"cache_creation":{"ephemeral_5m_input_tokens":11205,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"2ee95727-6a78-4b79-a97d-e34ec37875b0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yNJLNXqLr2TwpmJDRd29W","type":"tool_result","content":"403 5652 https://www.killamreit.com/apartments","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d5616ef2-e7a8-4a23-927a-9d08acc75e79","timestamp":"2026-08-27T03:54:34.653Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaDc5ocWWRHCk8m2Fek","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","name":"Agent","input":{"description":"Élargir CAPREIT à l'Ontario","subagent_type":"general-purpose","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync tourne sur ce répertoire et exécute le connecteur CAPREIT toutes les synchros — la NON-RÉGRESSION QC est critique). Expansion Ontario en préparation. Ta mission : **élargir louka/connectors/capreit.py à l'Ontario** (CAPREIT ~46 000 unités au Canada ; ON : Toronto, GTA, Ottawa, London — le plus gros proprio résidentiel du pays).\n\nDÉMARCHE :\n1. Lis louka/connectors/capreit.py en entier : comprends la mécanique actuelle (site WordPress custom, probablement admin-ajax/wp-json, whitelist de villes QC codée en dur). Lis aussi louka/schema.py (le dataclass Listing a maintenant un champ `province`, défaut \"QC\") et louka/connectors/base.py.\n2. Ajoute le support Ontario GATÉ par env : en tête de module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"`. Quand _ONTARIO est vrai, le fetch inclut AUSSI les villes/propriétés ontariennes (Toronto, GTA — Mississauga/Brampton/Scarborough/North York/Etobicoke/York…, Ottawa, London, Hamilton, KW si présents chez CAPREIT) avec `province=\"ON\"` sur ces Listings et adresse suffixée « ON ». Quand _ONTARIO est absent (prod actuelle), le comportement doit être STRICTEMENT identique à avant (mêmes listings QC, mêmes champs, province=\"QC\" par défaut du dataclass — ne change pas les appels existants inutilement).\n3. Enquête live nécessaire : découvre comment le site CAPREIT expose les villes ON (mêmes endpoints avec autre paramètre ville/région ? liste d'IDs ?). Teste au curl ; anti-bot → `self.get_resilient()` ou `self.scrapfly()` (déjà dans BaseConnector, SCRAPFLY_KEY dans .env).\n\nCONTRAINTES : tu es propriétaire EXCLUSIF de capreit.py — NE TOUCHE À AUCUN autre fichier (schema.py, base.py, __init__.py, ingest.py, db.py, sources.json, autres connecteurs : d'autres agents travaillent en parallèle). Commentaires en français, style maison ; documente l'élargissement dans l'en-tête du fichier. Aucun commit git. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (le paquet doit rester importable, la sync prod tourne).\n\nTESTS OBLIGATOIRES :\n(a) NON-RÉGRESSION QC : `cd ~/apps/lou-ka && .venv/bin/python -c \"from louka.connectors.capreit import *; ...\"` SANS LOUKA_ONTARIO — fetch() doit retourner le même nombre de listings QC qu'avant ton changement (mesure AVANT de modifier, note le chiffre, re-mesure après).\n(b) ONTARIO : même commande avec LOUKA_ONTARIO=1 — affiche nb total, nb ON vs QC, et 3 exemples ON (title, address, city, province, price, images). Cape les pages détail pendant les tests si coûteuses.\n\nRAPPORT : mécanique ON découverte, chiffres avant/après (QC identique ?), nb listings ON, gotchas, et note que l'entrée sources.json CAPREIT existante devra voir ses \"sectors\"/\"region\" enrichis au lancement ON (propose le texte, ne modifie pas le fichier)."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":349,"cache_read_input_tokens":102869,"cache_creation":{"ephemeral_5m_input_tokens":349,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"94cfbb05-ad0e-43f0-aa92-9e62da07e618"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync tourne sur ce répertoire et exécute le connecteur CAPREIT toutes les synchros — la NON-RÉGRESSION QC est critique). Expansion Ontario en préparation. Ta mission : **élargir louka/connectors/capreit.py à l'Ontario** (CAPREIT ~46 000 unités au Canada ; ON : Toronto, GTA, Ottawa, London — le plus gros proprio résidentiel du pays).\n\nDÉMARCHE :\n1. Lis louka/connectors/capreit.py en entier : comprends la mécanique actuelle (site WordPress custom, probablement admin-ajax/wp-json, whitelist de villes QC codée en dur). Lis aussi louka/schema.py (le dataclass Listing a maintenant un champ `province`, défaut \"QC\") et louka/connectors/base.py.\n2. Ajoute le support Ontario GATÉ par env : en tête de module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"`. Quand _ONTARIO est vrai, le fetch inclut AUSSI les villes/propriétés ontariennes (Toronto, GTA — Mississauga/Brampton/Scarborough/North York/Etobicoke/York…, Ottawa, London, Hamilton, KW si présents chez CAPREIT) avec `province=\"ON\"` sur ces Listings et adresse suffixée « ON ». Quand _ONTARIO est absent (prod actuelle), le comportement doit être STRICTEMENT identique à avant (mêmes listings QC, mêmes champs, province=\"QC\" par défaut du dataclass — ne change pas les appels existants inutilement).\n3. Enquête live nécessaire : découvre comment le site CAPREIT expose les villes ON (mêmes endpoints avec autre paramètre ville/région ? liste d'IDs ?). Teste au curl ; anti-bot → `self.get_resilient()` ou `self.scrapfly()` (déjà dans BaseConnector, SCRAPFLY_KEY dans .env).\n\nCONTRAINTES : tu es propriétaire EXCLUSIF de capreit.py — NE TOUCHE À AUCUN autre fichier (schema.py, base.py, __init__.py, ingest.py, db.py, sources.json, autres connecteurs : d'autres agents travaillent en parallèle). Commentaires en français, style maison ; documente l'élargissement dans l'en-tête du fichier. Aucun commit git. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (le paquet doit rester importable, la sync prod tourne).\n\nTESTS OBLIGATOIRES :\n(a) NON-RÉGRESSION QC : `cd ~/apps/lou-ka && .venv/bin/python -c \"from louka.connectors.capreit import *; ...\"` SANS LOUKA_ONTARIO — fetch() doit retourner le même nombre de listings QC qu'avant ton changement (mesure AVANT de modifier, note le chiffre, re-mesure après).\n(b) ONTARIO : même commande avec LOUKA_ONTARIO=1 — affiche nb total, nb ON vs QC, et 3 exemples ON (title, address, city, province, price, images). Cape les pages détail pendant les tests si coûteuses.\n\nRAPPORT : mécanique ON découverte, chiffres avant/après (QC identique ?), nb listings ON, gotchas, et note que l'entrée sources.json CAPREIT existante devra voir ses \"sectors\"/\"region\" enrichis au lancement ON (propose le texte, ne modifie pas le fichier)."}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"0940f52b-db39-46c0-bc6f-803d4613bf99","timestamp":"2026-08-27T03:54:35.672Z"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a954d1191be656f48","tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","description":"Élargir CAPREIT à l'Ontario","task_type":"local_agent","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync tourne sur ce répertoire et exécute le connecteur CAPREIT toutes les synchros — la NON-RÉGRESSION QC est critique). Expansion Ontario en préparation. Ta mission : **élargir louka/connectors/capreit.py à l'Ontario** (CAPREIT ~46 000 unités au Canada ; ON : Toronto, GTA, Ottawa, London — le plus gros proprio résidentiel du pays).\n\nDÉMARCHE :\n1. Lis louka/connectors/capreit.py en entier : comprends la mécanique actuelle (site WordPress custom, probablement admin-ajax/wp-json, whitelist de villes QC codée en dur). Lis aussi louka/schema.py (le dataclass Listing a maintenant un champ `province`, défaut \"QC\") et louka/connectors/base.py.\n2. Ajoute le support Ontario GATÉ par env : en tête de module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"`. Quand _ONTARIO est vrai, le fetch inclut AUSSI les villes/propriétés ontariennes (Toronto, GTA — Mississauga/Brampton/Scarborough/North York/Etobicoke/York…, Ottawa, London, Hamilton, KW si présents chez CAPREIT) avec `province=\"ON\"` sur ces Listings et adresse suffixée « ON ». Quand _ONTARIO est absent (prod actuelle), le comportement doit être STRICTEMENT identique à avant (mêmes listings QC, mêmes champs, province=\"QC\" par défaut du dataclass — ne change pas les appels existants inutilement).\n3. Enquête live nécessaire : découvre comment le site CAPREIT expose les villes ON (mêmes endpoints avec autre paramètre ville/région ? liste d'IDs ?). Teste au curl ; anti-bot → `self.get_resilient()` ou `self.scrapfly()` (déjà dans BaseConnector, SCRAPFLY_KEY dans .env).\n\nCONTRAINTES : tu es propriétaire EXCLUSIF de capreit.py — NE TOUCHE À AUCUN autre fichier (schema.py, base.py, __init__.py, ingest.py, db.py, sources.json, autres connecteurs : d'autres agents travaillent en parallèle). Commentaires en français, style maison ; documente l'élargissement dans l'en-tête du fichier. Aucun commit git. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (le paquet doit rester importable, la sync prod tourne).\n\nTESTS OBLIGATOIRES :\n(a) NON-RÉGRESSION QC : `cd ~/apps/lou-ka && .venv/bin/python -c \"from louka.connectors.capreit import *; ...\"` SANS LOUKA_ONTARIO — fetch() doit retourner le même nombre de listings QC qu'avant ton changement (mesure AVANT de modifier, note le chiffre, re-mesure après).\n(b) ONTARIO : même commande avec LOUKA_ONTARIO=1 — affiche nb total, nb ON vs QC, et 3 exemples ON (title, address, city, province, price, images). Cape les pages détail pendant les tests si coûteuses.\n\nRAPPORT : mécanique ON découverte, chiffres avant/après (QC identique ?), nb listings ON, gotchas, et note que l'entrée sources.json CAPREIT existante devra voir ses \"sectors\"/\"region\" enrichis au lancement ON (propose le texte, ne modifie pas le fichier).","uuid":"2b9fd492-9cfd-4e41-ab5f-27f9245db6e4","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/db.py","old_string":" \"\"\"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)","new_string":" \"\"\"INSERT INTO listings (uid, source, external_id, url, title,\n address, sector, city, province, unit_type, bedrooms,\n bathrooms, 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,:province,: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)","replace_all":false}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ae7b89cfd3c4e0a68","tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","description":"Editing louka/db.py","usage":{"total_tokens":65176,"tool_uses":8,"duration_ms":112875},"last_tool_name":"Edit","uuid":"289f9c64-ebcf-45ae-90f7-e811c2f03a90","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaT54eBVcG2JAc24quN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016oxZfeE52XeA8rLndsYE53","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/db.py","old_string":" \"\"\"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)","new_string":" \"\"\"INSERT INTO listings (uid, source, external_id, url, title,\n address, sector, city, province, unit_type, bedrooms,\n bathrooms, 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,:province,: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)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":378,"cache_read_input_tokens":64686,"cache_creation":{"ephemeral_5m_input_tokens":378,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"4da7b196-e64e-4982-b19a-cd5165649084"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016oxZfeE52XeA8rLndsYE53","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/db.py has been updated successfully."}]},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"a8ed76db-eb22-4aa5-bfca-fe5dcc24f5d4","timestamp":"2026-08-27T03:54:36.018Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HtsiJoShrpyxpLAUonhswu","type":"tool_result","content":"-rw-r--r--@ 1 simon-pierreboucher wheel 56528 Aug 26 23:54 hs_app.19e92a76.5fb7f252036e2c716797.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 19084 Aug 26 23:54 hs_app.1be3ce18.502223ab3b19f3d51476.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 94936 Aug 26 23:54 hs_app.205977d4.d8918ae32305cfa0407d.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 54471 Aug 26 23:54 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===\nhref=\"https://oldoak.com/apartment-rentals/\"\nhref=\"https://oldoakproperties.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx\"\nhref=\"https://www.instagram.com/oldoakproperties\"\n=== paramountapts_com_searchlisting_aspx.html ===\nhref=\"/location/acadia-apartments/\"\nhref=\"/location/carling-park-apartments/\"\nhref=\"/location/cartier-square-apartments/\"\nhref=\"/location/elgin-square-apartments/\"\nhref=\"/location/rideau-park-apartments/\"\nhref=\"/location/ridgeview-apartments/\"\nhref=\"/location/riverbank-apartments/\"\nhref=\"/location/riverview-apartments/\"\nhref=\"/location/rosewood-apartments\"\nhref=\"/location/saville-apartments/\"\nhref=\"/location/stonecliffe-apartments/\"\nhref=\"/location/the-maples-apartments/\"\nhref=\"/location/the-tiffany-apartments/\"\nhref=\"https://paramountapts.com/apartment-friendly-decor-ideas/\"\nhref=\"https://paramountapts.com/bachelor-and-1-bedroom-apartments-in-ottawa-ideal-living/\"\nhref=\"https://paramountapts.com/beating-the-ottawa-heat-apartment-cooling-tips-for-summer-comfort/\"\nhref=\"https://paramountapts.com/choosing-the-right-apartment-layout-maximizing-space-and-comfort-in-ottawa/\"\nhref=\"https://paramountapts.com/creating-a-pet-friendly-apartment-in-ottawa/\"\nhref=\"https://paramountapts.com/downtown-ottawa-apartments-for-rent-find-your-perfect-match/\"\nhref=\"https://paramountapts.com/how-to-host-a-holiday-party-in-an-apartment/\"\n=== 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PCP1dpNQrrVPnr5sJBqQhN","type":"tool_result","content":" 20 http://www.w3.org/2000/svg\n 12 https://cdn.rentsync.com/site/homestead_rebuild/\n 5 http://schema.org\n 4 https://www.google.com/maps/place/\n 4 http://schema.org/\n 3 https://policies.google.com/terms\n 3 https://policies.google.com/privacy\n 2 https://www.google.com/recaptcha/api.js\n 2 https://rentsync.s3.amazonaws.com/logos/rentsync_footer_logo\n 2 https://connect.facebook.net/en_US/fbevents.js\n 1 https://www.youtube\n 1 https://www.rentsync.com\n 1 https://www.googletagmanager.com/gtm.js\n 1 https://www.googletagmanager.com/gtag/js\n 1 https://www.googletagmanager.com\n 1 https://www.google.com/maps/search/\n 1 https://website-gateway.rentsync.com\n 1 https://website-gateway.\n 1 https://website-gateway-cdn.staging.rentsync.io\n 1 https://website-gateway-cdn.rentsync.com\n 1 https://vimeo.com/api/oembed.json\n 1 https://storage.googleapis.com/rentsync-assets\n 1 https://s3.amazonaws.com/lws_lift\n 1 https://player.vimeo.com/video/\n 1 https://maps.googleapis.com/maps/api/js\n 1 https://cdn.rentsync.com/staging/fpn/floorplan-navigator.min.js\n 1 https://cdn.rentsync.com/site/fpn/floorplan-navigator.min.js\n 1 https://cdn.rentsync.com/review/fpn/\n 1 http://www.w3.org/1999/xlink\n 1 http://www.w3.org/1998/Math/MathML\n---\n/tmp/hs_app.19e92a76.5fb7f252036e2c716797.js\n/tmp/hs_app.31ecd969.d1eb8617238246f3b446.js\n/tmp/hs_app.711e1ffa.d88b83f4c46cdb7abd96.js\n/tmp/hs_app.7d359b94.cbc5208d25f7ffc95187.js\n/tmp/hs_app.af83ce4e.a72c35817c786e60c604.js\n/tmp/hs_app.d0ae3f07.ac17c47753e2dd8efc25.js","is_error":false}]},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d3b2d000-7e5b-41c8-af16-e50b81930307","timestamp":"2026-08-27T03:54:43.754Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUH2FPgeo9Zmy1F3fZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Dwd8Rh2TWs6cJ1iwk3TTxc","name":"Bash","input":{"command":"grep -o -h -E \".{120}website-gateway.{200}\" /tmp/hs_*.js | head -10","description":"Show context around website-gateway references"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":979,"cache_read_input_tokens":48045,"cache_creation":{"ephemeral_5m_input_tokens":979,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d0da2fcb-9875-49d8-b8c5-584a6c8bc53e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Dwd8Rh2TWs6cJ1iwk3TTxc","type":"tool_result","content":"bject.keys(window.apiResponses).forEach(e=>{e===i&&Object.keys(window.apiResponses[e]).forEach(i=>{i.replace(/https:\\/\\/website-gateway(\\.(staging|demo))?\\.rentsync\\.(dev|com)\\/v[1-9]+\\/[a-z0-9_]+\\//,\"\")===r&&(t=window.apiResponses[e][i])})}),!t&&/^(dynamic-ranges)/.test(r)?t={data:[{}],meta:{}}:t||(t={data:[],meta:{}}),t}if(!o[i][r]\nders[\"test-form-submission\"]=\"true\"),this.makeRequest(t)}))}setBaseUrl(){let t=\"production\"===this.environment?\"https://website-gateway.rentsync.com\":`https://website-gateway.${this.environment}.rentsync.io`;(this.cdnCache===this.environment||\"staging\"===this.environment&&\"all\"===this.cdnCache||\"production\"===this.environment&&\"all\"=","is_error":false}]},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"e98754a3-92bf-467a-8b4f-a9665400e586","timestamp":"2026-08-27T03:54:51.094Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTW6nFXd5rEKwS2HX5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019p4HwFj28cDmfYL2T8iBt3","name":"Bash","input":{"command":"grep -oE 'data-[a-z-]+=\"[^\"]*\"' /tmp/skyline_home.html | sort -u | head -30; grep -oE 'theliftsystem[^\"'\"'\"']*' /tmp/skyline_home.html | head","description":"Look for data attributes and liftsystem refs in homepage"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1394,"cache_read_input_tokens":51051,"cache_creation":{"ephemeral_5m_input_tokens":1394,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"4d0e742b-919f-49ee-a665-780fd5ba8786"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTy7z3E7j3iH8YsGZ4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PCP1dpNQrrVPnr5sJBqQhN","name":"Bash","input":{"command":"grep -o -h -E \"https?://[A-Za-z0-9./_-]+\" /tmp/hs_*.js | sort | uniq -c | sort -rn | head -30; echo ---; grep -l -i \"api\" /tmp/hs_*.js","description":"List URLs referenced in JS bundles"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":182,"cache_read_input_tokens":47863,"cache_creation":{"ephemeral_5m_input_tokens":182,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"0cff2bb8-5edd-4fb3-b359-7bef28dd7ee9"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019p4HwFj28cDmfYL2T8iBt3","type":"tool_result","content":"data-domain-script=\"0191be78-d1a7-7428-bb45-928215c091ed\"\ndata-environment=\"production\"\ndata-fa-mask=\"\"\ndata-fa-transform=\"\"\ndata-height=\"36\"\ndata-icon=\"facebook-f\"\ndata-icon=\"heart\"\ndata-icon=\"instagram\"\ndata-icon=\"youtube\"\ndata-playwright=\"true\"\ndata-prefix=\"fab\"\ndata-prefix=\"fal\"\ndata-prefix=\"fas\"\ndata-ref=\"promotions_details\"\ndata-ref=\"promotions_title\"\ndata-ref=\"property_address\"\ndata-ref=\"property_beds\"\ndata-ref=\"property_favorites\"\ndata-ref=\"property_photo\"\ndata-ref=\"property_rate\"\ndata-ref=\"property_title\"\ndata-ref=\"search_filters\"\ndata-src=\"https://picsum.photos/500/625\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1737122284871_Skyline---Elio-Apartments---Aurora---Unit-B1--2.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1737122286313_Skyline---Elio-Apartments---Aurora---Unit-B1--3.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1757532311945_Aura_Apartments_Photography_-_August_2025_-_Web__5_.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1757532344043_Aura_Apartments_Photography_-_August_2025_-_Web__1_.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1757532346535_Aura_Apartments_Photography_-_August_2025_-_Web__2_.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1757532349056_Aura_Apartments_Photography_-_August_2025_-_Web__3_.jpg\"\ndata-src=\"https://s3.amazonaws.com/lws_lift/skyline/images/gallery/512/1758036178608_Aura_Apartments_Photography_-_August_2025_-_Web__4_.jpg\"","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6df499ef-1003-45cb-907d-3cd438137d67","timestamp":"2026-08-27T03:54:40.965Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTW6nFXd5rEKwS2HX5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015gk3awigqnjbD8R3k76LCg","name":"Bash","input":{"command":"for f in runtime~app.274cfda1 app.d0ae3f07.387739f5659eb4109f6f app.662d397a.eae14adf4cad3e82da62 app.a4f6e46a.3e13a09774592a56e3af; do curl -s --compressed -m 30 \"https://cdn.rentsync.com/site/skyline/js/$f.js\" -o \"/tmp/sk_$f.js\"; done; grep -l \"theliftsystem\\|auth_token\" /tmp/sk_*.js","description":"Download first JS bundles and grep for API token"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1394,"cache_read_input_tokens":51051,"cache_creation":{"ephemeral_5m_input_tokens":1394,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"52bc640d-17a1-4914-95af-980b75a5dffb"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015gk3awigqnjbD8R3k76LCg","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"e7320ed8-35ac-4025-a3d0-5898adad3f3f","timestamp":"2026-08-27T03:54:45.082Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTbkMNGJdWdqh7cpYc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JkACmNjjb5rRRLpEwyCk3M","name":"Bash","input":{"command":"head -c 800 /tmp/killam-home.html","description":"Inspect 403 response body"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":249,"cache_read_input_tokens":39194,"cache_creation":{"ephemeral_5m_input_tokens":249,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"a79936f2-c8ab-4477-a0b3-a7e79a0fae9c"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTbkMNGJdWdqh7cpYc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HHCWyRu2Tqcv2QE5CZ7q7q","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/project_ontario.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":249,"cache_read_input_tokens":39194,"cache_creation":{"ephemeral_5m_input_tokens":249,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"15388605-7846-44bf-981c-2739bdc9211a"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HHCWyRu2Tqcv2QE5CZ7q7q","type":"tool_result","content":"1\t---\n2\tname: Expansion Ontario — recherche connecteurs\n3\tdescription: Résultats de la recherche massive 2026-08-26 sur les gestionnaires immo Ontario (pré-implémentation), leviers plateformes et contraintes schéma\n4\ttype: project\n5\toriginSessionId: 259ee367-8069-48e6-bc04-ae4e62168c23\n6\t---\n7\tRecherche massive faite le 2026-08-26 (Serper/Tavily + vérifs curl live) pour une éventuelle extension Lou-Ka en Ontario. **Rien d'implémenté** — recherche seulement.\n8\t\n9\t**Why:** l'utilisateur envisage d'étendre Lou-Ka hors Québec ; il voulait cartographier les sources avant de décider.\n10\t\n11\t**How to apply:** si l'utilisateur relance le sujet Ontario, repartir de ces résultats au lieu de re-chercher.\n12\t\n13\t## Résultats clés\n14\t- ~55 gestionnaires ON identifiés avec listings sur site propre (géants : CAPREIT ~45k, Starlight, Homestead ~26k, Hazelview, Skyline ~22k/38 villes, Greenwin, Killam, InterRent/CLV, Drewlo London, Effort Trust Hamilton…).\n15\t- **Levier n°1 : Rentsync/LiftSystem** — `api.theliftsystem.com/v2/search?client_id=N&auth_token=sswpREkUtyeYjeoahA2i` (token universel, validé live ; Park=65, W&McD=12, Hazelview QC=497 déjà en prod). Un connecteur générique + énumération client_id ≈ 50-100 gestionnaires ON+QC.\n16\t- **Levier n°2 : Yardi RentCafe/SecureCafe** (`searchlisting.aspx`, `*.securecafe.com`) — InterRent/CLV, Morguard, Osgoode, Paramount, Old Oak, Effort Trust, Akelius… ⚠️ Cloudflare 403 fréquent → Scrapfly asp=true.\n17\t- Longue traîne : AppFolio (`*.appfolio.com/listings`), Buildium (`*.managebuilding.com`).\n18\t\n19\t## Contraintes internes avant implémentation\n20\t- 11/13 connecteurs nationaux existants ont une whitelist de villes QC codée en dur (Boardwalk, CAPREIT, Cogir, Hazelview, InterRent, Minto, Metcap, Realstar, Centurion, Morguard, Akelius) — élargir plutôt que dupliquer.\n21\t- Le modèle `Listing` (louka/schema.py) n'a **pas de champ `province`** ; bbox lat/lng limité au Québec ; `infer_city()` implicitement QC. À corriger en premier.\n22\t- Gabarit doc : `gestion-immobiliere-quebec.md` → faire l'équivalent `gestion-immobiliere-ontario.md`.\n23\t\n24\t## Plan d'attaque recommandé (~7 connecteurs)\n25\t1. Générique LiftSystem ; 2. Générique RentCafe (Scrapfly) ; 3-7. Dédiés CAPREIT (WP admin-ajax), Homestead, Skyline, Killam, Boardwalk (~145k unités à eux cinq). Ensuite longue traîne AppFolio/Buildium.\n26\t"}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ffddfca4-66f2-457a-90da-c79539c00153","timestamp":"2026-08-27T03:54:40.523Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JkACmNjjb5rRRLpEwyCk3M","type":"tool_result","content":" Just a moment... nom d'affichage\n36\t_GM_CITIES = {\n37\t # Île de Montréal\n38\t \"montreal\": \"Montréal\",\n39\t \"cote saint-luc\": \"Côte Saint-Luc\",\n40\t \"cote-saint-luc\": \"Côte Saint-Luc\",\n41\t \"westmount\": \"Westmount\",\n42\t \"dorval\": \"Dorval\",\n43\t \"pointe-claire\": \"Pointe-Claire\",\n44\t \"mont-royal\": \"Mont-Royal\",\n45\t \"dollard-des-ormeaux\": \"Dollard-des-Ormeaux\",\n46\t # Laval\n47\t \"laval\": \"Laval\",\n48\t # Longueuil / Rive-Sud\n49\t \"longueuil\": \"Longueuil\",\n50\t \"brossard\": \"Brossard\",\n51\t \"boucherville\": \"Boucherville\",\n52\t \"saint-lambert\": \"Saint-Lambert\",\n53\t \"saint-hubert\": \"Longueuil\",\n54\t \"candiac\": \"Candiac\",\n55\t \"chateauguay\": \"Châteauguay\",\n56\t # Rive-Nord proche\n57\t \"boisbriand\": \"Boisbriand\",\n58\t \"repentigny\": \"Repentigny\",\n59\t \"terrebonne\": \"Terrebonne\",\n60\t \"mascouche\": \"Mascouche\",\n61\t \"rosemere\": \"Rosemère\",\n62\t \"sainte-therese\": \"Sainte-Thérèse\",\n63\t \"blainville\": \"Blainville\",\n64\t}\n65\t_IMG_RE = re.compile(\n66\t r'https://www\\.capreit\\.ca/wp-content/uploads/[^\"\\'\\s\\\\]+'\n67\t r'\\.(?:jpg|jpeg|png|webp)', re.I)\n68\t_SKIP_IMG = re.compile(\n69\t r\"logo|icon|favicon|cropped|-\\d{2,4}x\\d{2,4}\\.|BIL|Phone|badge\", re.I)\n70\t\n71\t\n72\tclass CapreitConnector(BaseConnector):\n73\t source_id = \"capreit\"\n74\t request_delay = 0.6\n75\t max_properties = 60 # garde-fou (région de Québec + Grand Montréal)\n76\t max_images = 25\n77\t\n78\t @staticmethod\n79\t def _city_key(city: str) -> str:\n80\t return strip_accents((city or \"\").strip().lower())\n81\t\n82\t def fetch(self) -> list[Listing]:\n83\t props = self.get(FEED_URL).json()\n84\t\n85\t listings: list[Listing] = []\n86\t count = 0\n87\t for p in props:\n88\t try:\n89\t if (p.get(\"province\") or \"\").strip().upper() != \"QC\":\n90\t continue\n91\t ck = self._city_key(p.get(\"city\", \"\"))\n92\t if ck not in _QC_CITIES and ck not in _GM_CITIES:\n93\t continue\n94\t if not p.get(\"has_vacancies\"):\n95\t continue\n96\t if count >= self.max_properties:\n97\t break\n98\t count += 1\n99\t listings.extend(self._property_listings(p))\n100\t except Exception:\n101\t continue\n102\t return listings\n103\t\n104\t def _property_listings(self, p: dict) -> list[Listing]:\n105\t pid = str(p.get(\"id\"))\n106\t url = p.get(\"url\") or \"\"\n107\t title = (p.get(\"title\") or \"\").strip()\n108\t address = (p.get(\"address\") or \"\").strip()\n109\t feed_city = (p.get(\"city\") or \"\").strip()\n110\t # adresse complète : rue + ville + code postal (tous fournis au flux)\n111\t postal = (p.get(\"postal_code\") or \"\").strip()\n112\t if address and feed_city:\n113\t address = f\"{address}, {feed_city}\" + (f\", QC {postal}\"\n114\t if postal else \"\")\n115\t # coordonnées GPS du flux\n116\t try:\n117\t lat = float(p[\"latitude\"]) if p.get(\"latitude\") else None\n118\t lng = float(p[\"longitude\"]) if p.get(\"longitude\") else None\n119\t except (TypeError, ValueError):\n120\t lat = lng = None\n121\t incentive = (p.get(\"incentive\") or \"\").strip()\n122\t # secteur : ville précise du flux (ex. Beauport) sinon intersection\n123\t city_key = self._city_key(feed_city)\n124\t if city_key in _GM_CITIES:\n125\t # Grand Montréal : la ville du flux est la vraie ville\n126\t sector = (p.get(\"nearest_intersection\") or \"\").strip()\n127\t city = _GM_CITIES[city_key]\n128\t elif city_key in (\"ville de quebec\", \"quebec\"):\n129\t sector = (p.get(\"nearest_intersection\") or \"\").strip()\n130\t city = infer_city(sector, default=\"Québec\")\n131\t else:\n132\t sector = feed_city\n133\t city = infer_city(sector, default=\"Québec\")\n134\t\n135\t # fiche propriété (rendu serveur) via le cache BD : revisitée\n136\t # seulement quand la ligne du flux change\n137\t feed_key = hashlib.sha1(\"|\".join(\n138\t str(p.get(k)) for k in\n139\t (\"id\", \"min_rent\", \"earliest_date\", \"vacancy_message\",\n140\t \"price_range\", \"has_vacancies\", \"units_count\", \"incentive\")\n141\t ).encode(\"utf-8\")).hexdigest()\n142\t d = self.detail(pid, feed_key, lambda: self._fetch_property(url))\n143\t desc = d.get(\"desc\", \"\")\n144\t amenities = d.get(\"amenities\", [])\n145\t images = d.get(\"images\", [])\n146\t rows = d.get(\"rows\", [])\n147\t\n148\t # promotion du flux (ex. « 1 mois de loyer gratuit »)\n149\t if incentive:\n150\t desc = f\"Promotion : {incentive}. {desc}\".strip()\n151\t\n152\t # date de disponibilité structurée du flux (ex. 20260201)\n153\t avail_date = None\n154\t ed = str(p.get(\"earliest_date\") or \"\")\n155\t if re.fullmatch(r\"20\\d{6}\", ed):\n156\t avail_date = f\"{ed[:4]}-{ed[4:6]}-{ed[6:]}\"\n157\t\n158\t out: list[Listing] = []\n159\t if rows:\n160\t for r in rows:\n161\t ut = normalize_unit_type(r[\"unit_raw\"])\n162\t slug = re.sub(r\"[^a-z0-9]+\", \"-\",\n163\t strip_accents(r[\"unit_raw\"].lower())).strip(\"-\")\n164\t out.append(Listing(\n165\t source=self.source_id,\n166\t external_id=f\"{pid}-{slug or 'u'}\",\n167\t url=url,\n168\t title=f\"{title} — {r['unit_raw']}\" if r[\"unit_raw\"]\n169\t else title,\n170\t address=address,\n171\t sector=sector,\n172\t city=city,\n173\t unit_type=ut,\n174\t price=parse_price(r[\"price\"]),\n175\t price_label=r[\"price\"],\n176\t availability=r[\"avail\"],\n177\t # date de la ligne (« Disponible 1 sept. ») sinon\n178\t # earliest_date structuré du flux\n179\t availability_date=(parse_availability_date(r[\"avail\"])\n180\t or avail_date),\n181\t # superficie structurée de la ligne (ex. « 875 pi² »)\n182\t area_sqft=parse_area_sqft(r[\"sqft\"]),\n183\t description=desc[:600],\n184\t amenities=amenities,\n185\t images=images,\n186\t lat=lat,\n187\t lng=lng,\n188\t ))\n189\t else:\n190\t # repli : annonce par propriété avec le prix plancher du flux\n191\t min_rent = p.get(\"min_rent\")\n192\t out.append(Listing(\n193\t source=self.source_id,\n194\t external_id=pid,\n195\t url=url,\n196\t title=title,\n197\t address=address,\n198\t sector=sector,\n199\t city=city,\n200\t unit_type=normalize_unit_type(\n201\t (p.get(\"bedroom_range\") or \"\").split(\"-\")[0]),\n202\t price=float(min_rent) if min_rent else None,\n203\t price_label=p.get(\"price_range\") or \"\",\n204\t availability=p.get(\"vacancy_message\") or \"\",\n205\t availability_date=avail_date,\n206\t description=desc,\n207\t amenities=amenities,\n208\t images=images,\n209\t lat=lat,\n210\t lng=lng,\n211\t ))\n212\t return out\n213\t\n214\t def _fetch_property(self, url: str) -> dict:\n215\t \"\"\"Scrape la fiche propriété : galerie, commodités, description,\n216\t et une ligne par type d'unité disponible (« Vos options »).\"\"\"\n217\t out: dict = {\"desc\": \"\", \"amenities\": [], \"images\": [], \"rows\": []}\n218\t try:\n219\t page = self.get(url).text\n220\t except Exception:\n221\t return out\n222\t soup = BeautifulSoup(page, \"html.parser\")\n223\t\n224\t # galerie photos (héro + blocs JSON de la page)\n225\t images: list[str] = []\n226\t for u in _IMG_RE.findall(page):\n227\t if _SKIP_IMG.search(u):\n228\t continue\n229\t if u not in images:\n230\t images.append(u)\n231\t out[\"images\"] = images[: self.max_images]\n232\t\n233\t # commodités (listes à icônes)\n234\t amenities: list[str] = []\n235\t seen = set()\n236\t for li in soup.select(\"li\"):\n237\t if not li.find(\"div\", class_=\"icon\"):\n238\t continue\n239\t t = li.get_text(\" \", strip=True)\n240\t if t and len(t) < 60 and t not in seen:\n241\t seen.add(t)\n242\t amenities.append(t)\n243\t out[\"amenities\"] = amenities[:25]\n244\t\n245\t # description (« Caractéristiques de l'immeuble »)\n246\t h = soup.find([\"h2\", \"h3\"], string=re.compile(\n247\t \"Caractéristiques de l['’]immeuble\"))\n248\t if h:\n249\t nxt = h.find_next([\"p\", \"div\"])\n250\t if nxt:\n251\t out[\"desc\"] = nxt.get_text(\" \", strip=True)[:600]\n252\t\n253\t # types d'unités disponibles\n254\t for li in soup.select(\"li.property-options-list-item\"):\n255\t avail_el = li.select_one(\n256\t \".property-options-list-item-availability\")\n257\t price_el = li.select_one(\n258\t \".property-options-list-item-price\")\n259\t details = [d.get_text(\" \", strip=True)\n260\t for d in li.select(\".property-options-item\")]\n261\t unit_raw = details[0] if details else \"\"\n262\t sqft = details[1] if len(details) > 1 else \"\"\n263\t if li.get(\"data-available\") == \"false\":\n264\t continue\n265\t out[\"rows\"].append({\n266\t \"unit_raw\": unit_raw,\n267\t \"sqft\": sqft,\n268\t \"price\": price_el.get_text(\" \", strip=True)\n269\t if price_el else \"\",\n270\t \"avail\": avail_el.get_text(\" \", strip=True)\n271\t if avail_el else \"\",\n272\t })\n273\t return out\n274\t"}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"18d52452-e4ec-404c-9bfe-b7b39110a9d3","timestamp":"2026-08-27T03:54:39.216Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTfz6oxY5ThGfn6Amx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SmQPf6AQ8BgKhtMqWX6EFy","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":12256,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12256,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d2732ece-9add-4d8f-8d03-ddcce20af94a"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Q38R49JCWcHmtEYUgbsnMq","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"}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"1e42e4cb-1818-45f3-8b66-629167ebfc6d","timestamp":"2026-08-27T03:54:43.732Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaU1SddkPAJzq8Et65K","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q38R49JCWcHmtEYUgbsnMq","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/base.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9642,"cache_read_input_tokens":23976,"cache_creation":{"ephemeral_5m_input_tokens":9642,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"a5b27966-1a8c-4f27-9c7b-d1c21191f224"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SmQPf6AQ8BgKhtMqWX6EFy","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 province: str = \"QC\" # \"QC\" | \"ON\" (expansion Ontario 2026-08)\n57\t unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n58\t bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n59\t bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n60\t price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n61\t price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n62\t availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n63\t availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n64\t area_sqft: float | None = None # superficie en pi²\n65\t pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n66\t furnished: bool | None = None # meublé (None = inconnu)\n67\t description: str = \"\"\n68\t digest: dict | None = None # description structurée (louka/textmine.py)\n69\t amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n70\t details: dict = field(default_factory=dict) # champs structurés (JSON)\n71\t images: list[str] = field(default_factory=list) # URLs absolues\n72\t lat: float | None = None\n73\t lng: float | None = None\n74\t\n75\t @property\n76\t def uid(self) -> str:\n77\t return f\"{self.source}:{self.external_id}\"\n78\t\n79\t def content_hash(self) -> str:\n80\t \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n81\t payload = asdict(self)\n82\t blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n83\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n84\t\n85\t def finalize(self) -> \"Listing\":\n86\t \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n87\t\n88\t Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n89\t \"\"\"\n90\t import html as _html\n91\t self.title = _html.unescape(self.title).strip()\n92\t self.address = clean_address(_html.unescape(self.address))\n93\t self.sector = clean_sector(self.sector)\n94\t self.city = clean_city(self.city)\n95\t self.unit_type = normalize_unit_type(self.unit_type)\n96\t\n97\t if self.price is None:\n98\t self.price = parse_price(self.price_label)\n99\t if self.availability_date is None:\n100\t self.availability_date = parse_availability_date(self.availability)\n101\t if self.area_sqft is None:\n102\t for texte in (self.description, \" \".join(self.amenities), self.title):\n103\t self.area_sqft = parse_area_sqft(texte)\n104\t if self.area_sqft is not None:\n105\t break\n106\t\n107\t # coordonnées fournies par la source : rejeter tout point hors du\n108\t # territoire couvert (lat/lng inversés, 0/0, coquilles) — le géocodeur\n109\t # prendra le relais sur l'adresse plutôt que d'afficher un point au\n110\t # Kazakhstan. QC : 44.5–63°N / -80–-56°E ; ON (expansion 2026-08) :\n111\t # 41.6°N (Windsor/Pelée) à 56.9°N, -95.2°E (Kenora) à -74.3°E.\n112\t if self.lat is not None and self.lng is not None:\n113\t prov = (self.province or \"QC\").upper()\n114\t if prov == \"ON\":\n115\t ok = 41.6 <= self.lat <= 56.9 and -95.3 <= self.lng <= -74.3\n116\t else:\n117\t ok = 44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0\n118\t if not ok:\n119\t self.lat = self.lng = None\n120\t\n121\t derived = extract_details(self.amenities, self.description, self.title)\n122\t if self.price_label and price_is_from(self.price_label):\n123\t derived[\"price_from\"] = True\n124\t self.details = merge_details(self.details, derived)\n125\t\n126\t # chambres / salles de bain : valeur explicite du connecteur d'abord,\n127\t # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n128\t # puis extraction texte — jamais de valeur inventée (None = inconnu)\n129\t if self.bedrooms is None:\n130\t for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n131\t self.bedrooms = coerce_count(self.details.get(k))\n132\t if self.bedrooms is not None:\n133\t break\n134\t if self.bedrooms is None:\n135\t self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n136\t if self.bedrooms is None:\n137\t self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n138\t self.description)\n139\t if self.bathrooms is None:\n140\t for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n141\t \"Salle(s) de bain\"):\n142\t self.bathrooms = coerce_count(self.details.get(k))\n143\t if self.bathrooms is not None:\n144\t break\n145\t if self.bathrooms is None:\n146\t self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n147\t self.description)\n148\t\n149\t # description structurée (nettoyage + extraction + sections)\n150\t if self.digest is None and self.description:\n151\t try:\n152\t from .textmine import analyser\n153\t self.digest = analyser(self.description, price=self.price,\n154\t sector=self.sector, city=self.city)\n155\t except ImportError:\n156\t pass # module absent : la fiche affichera le texte brut\n157\t\n158\t if self.pets is None:\n159\t self.pets = self.details.get(\"pets\")\n160\t else:\n161\t self.details[\"pets\"] = self.pets\n162\t if self.furnished is None:\n163\t furn = self.details.get(\"furnished\")\n164\t self.furnished = furn if isinstance(furn, bool) else None\n165\t else:\n166\t self.details[\"furnished\"] = self.furnished\n167\t return self\n168\t\n169\t\n170\t# ---------------------------------------------------------------------------\n171\t# Secteur -> ville (agglomération Québec / Lévis)\n172\t# ---------------------------------------------------------------------------\n173\t\n174\t_LEVIS_SECTORS = {\n175\t \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n176\t \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n177\t \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n178\t \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n179\t}\n180\t\n181\t\n182\tdef infer_city(sector: str, default: str = \"Québec\") -> str:\n183\t key = strip_accents((sector or \"\").strip().lower())\n184\t if key in _LEVIS_SECTORS or \"levis\" in key:\n185\t return \"Lévis\"\n186\t return default\n187\t"}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b87db28a-a58d-45b9-ad47-38c1e853b5b8","timestamp":"2026-08-27T03:54:40.207Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUH11kSTurHu6ejsPN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SsWy2T6HXhrYbbER93wezb","name":"Bash","input":{"command":"curl -s \"https://www.capreit.ca/wp-admin/admin-ajax.php?action=property_json&language=fr\" -H \"User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36\" -o /tmp/capreit_feed.json -w \"%{http_code} %{size_download}\\n\"","description":"Download CAPREIT property feed JSON"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4616,"cache_read_input_tokens":33618,"cache_creation":{"ephemeral_5m_input_tokens":4616,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"55fba7ee-3bb6-4b2c-900a-7591f2644f92"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SsWy2T6HXhrYbbER93wezb","type":"tool_result","content":"200 522074","is_error":false}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"2a0448a7-1536-491a-94e7-7977e766f236","timestamp":"2026-08-27T03:54:52.418Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaDc5ocWWRHCk8m2Fek","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","name":"Agent","input":{"description":"Élargir boardwalk/minto/hazelview","subagent_type":"general-purpose","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, chacun gaté par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/boardwalk.py, louka/connectors/minto.py, louka/connectors/hazelview.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle sur schema/db/autres connecteurs). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui (prod QC intacte).\n\nPour CHACUN des 3 :\n1. **boardwalk.py** (bwalk.com, ~34 000 unités surtout Ouest ; ON : London, Kitchener/KW) : lis le connecteur (API api.leasing.ai d'après nos recherches), trouve comment demander les villes ON, ajoute-les sous _ONTARIO.\n2. **minto.py** (mintoapartments.com, ~8 000 ; ON : Toronto, GTA, Ottawa — Minto est d'abord ottavien !) : lis le connecteur (probablement Rentsync/LiftSystem ou custom), élargis aux villes ON sous _ONTARIO.\n3. **hazelview.py** (hazelviewproperties.com, ~24 000 ; ON : Toronto, GTA, Ottawa, Hamilton, London, KW) : connecteur Rentsync/LiftSystem existant (client_id 497, API api.theliftsystem.com/v2/search avec city_ids et/ou filtre province_code) — sous _ONTARIO, inclure les propriétés province_code==\"ON\" (retire/élargis la whitelist de villes pour ON ; garde le garde-fou QC intact hors gate).\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, city_ids, param région) ; (b) mesure la référence : fetch() SANS LOUKA_ONTARIO → note le nb de listings AVANT modification ; (c) modifie ; (d) re-teste sans env → même nombre/mêmes uid ; (e) teste avec LOUKA_ONTARIO=1 → compte ON vs QC, affiche 2 exemples ON (title, address, city, province, price). Enquête live au besoin (curl, ou self.get_resilient/self.scrapfly si anti-bot ; SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests si coûteuses. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"`.\n\nStyle : commentaires en français, documente l'élargissement dans l'en-tête de chaque fichier (« Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO »).\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON obtenus, gotchas/échecs. Si un des trois résiste (anti-bot insoluble, API sans villes ON), documente et passe au suivant — mieux vaut 2 solides que 3 cassés."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":349,"cache_read_input_tokens":102869,"cache_creation":{"ephemeral_5m_input_tokens":349,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6e58ec18-9b74-4934-8d7f-5cf40951f692"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Élargir boardwalk/minto/hazelview","task_type":"local_agent","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, chacun gaté par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/boardwalk.py, louka/connectors/minto.py, louka/connectors/hazelview.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle sur schema/db/autres connecteurs). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui (prod QC intacte).\n\nPour CHACUN des 3 :\n1. **boardwalk.py** (bwalk.com, ~34 000 unités surtout Ouest ; ON : London, Kitchener/KW) : lis le connecteur (API api.leasing.ai d'après nos recherches), trouve comment demander les villes ON, ajoute-les sous _ONTARIO.\n2. **minto.py** (mintoapartments.com, ~8 000 ; ON : Toronto, GTA, Ottawa — Minto est d'abord ottavien !) : lis le connecteur (probablement Rentsync/LiftSystem ou custom), élargis aux villes ON sous _ONTARIO.\n3. **hazelview.py** (hazelviewproperties.com, ~24 000 ; ON : Toronto, GTA, Ottawa, Hamilton, London, KW) : connecteur Rentsync/LiftSystem existant (client_id 497, API api.theliftsystem.com/v2/search avec city_ids et/ou filtre province_code) — sous _ONTARIO, inclure les propriétés province_code==\"ON\" (retire/élargis la whitelist de villes pour ON ; garde le garde-fou QC intact hors gate).\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, city_ids, param région) ; (b) mesure la référence : fetch() SANS LOUKA_ONTARIO → note le nb de listings AVANT modification ; (c) modifie ; (d) re-teste sans env → même nombre/mêmes uid ; (e) teste avec LOUKA_ONTARIO=1 → compte ON vs QC, affiche 2 exemples ON (title, address, city, province, price). Enquête live au besoin (curl, ou self.get_resilient/self.scrapfly si anti-bot ; SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests si coûteuses. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"`.\n\nStyle : commentaires en français, documente l'élargissement dans l'en-tête de chaque fichier (« Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO »).\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON obtenus, gotchas/échecs. Si un des trois résiste (anti-bot insoluble, API sans villes ON), documente et passe au suivant — mieux vaut 2 solides que 3 cassés.","uuid":"41ff12eb-53f5-4889-ba90-dcde32300173","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, chacun gaté par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/boardwalk.py, louka/connectors/minto.py, louka/connectors/hazelview.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle sur schema/db/autres connecteurs). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui (prod QC intacte).\n\nPour CHACUN des 3 :\n1. **boardwalk.py** (bwalk.com, ~34 000 unités surtout Ouest ; ON : London, Kitchener/KW) : lis le connecteur (API api.leasing.ai d'après nos recherches), trouve comment demander les villes ON, ajoute-les sous _ONTARIO.\n2. **minto.py** (mintoapartments.com, ~8 000 ; ON : Toronto, GTA, Ottawa — Minto est d'abord ottavien !) : lis le connecteur (probablement Rentsync/LiftSystem ou custom), élargis aux villes ON sous _ONTARIO.\n3. **hazelview.py** (hazelviewproperties.com, ~24 000 ; ON : Toronto, GTA, Ottawa, Hamilton, London, KW) : connecteur Rentsync/LiftSystem existant (client_id 497, API api.theliftsystem.com/v2/search avec city_ids et/ou filtre province_code) — sous _ONTARIO, inclure les propriétés province_code==\"ON\" (retire/élargis la whitelist de villes pour ON ; garde le garde-fou QC intact hors gate).\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, city_ids, param région) ; (b) mesure la référence : fetch() SANS LOUKA_ONTARIO → note le nb de listings AVANT modification ; (c) modifie ; (d) re-teste sans env → même nombre/mêmes uid ; (e) teste avec LOUKA_ONTARIO=1 → compte ON vs QC, affiche 2 exemples ON (title, address, city, province, price). Enquête live au besoin (curl, ou self.get_resilient/self.scrapfly si anti-bot ; SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests si coûteuses. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"`.\n\nStyle : commentaires en français, documente l'élargissement dans l'en-tête de chaque fichier (« Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO »).\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON obtenus, gotchas/échecs. Si un des trois résiste (anti-bot insoluble, API sans villes ON), documente et passe au suivant — mieux vaut 2 solides que 3 cassés."}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ed69d8fa-39be-48de-a787-6b94d2f74565","timestamp":"2026-08-27T03:54:52.590Z"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bit64sq8f","tool_use_id":"toolu_01EMmM6Xxba3RZve5jFUhxFn","description":"Fetch killamreit.com/apartments via Scrapfly ASP (no JS render)","task_type":"local_bash","uuid":"0d6904b6-6501-48ef-b401-259936d52eef","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp && grep -oE 'src=\"https://cdn.rentsync.com/site/skyline/js/[^\"]+\"' /tmp/skyline_home.html | sed 's/src=\"//;s/\"//' | while read u; do n=$(basename \"$u\"); [ -f \"sk_js_$n\" ] || curl -s --compressed -m 30 \"$u\" -o \"sk_js_$n\"; done; grep -l \"theliftsystem\\|auth_token\" sk_js_*.js","description":"Download all skyline JS bundles and grep for LiftSystem token"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/rcprobe && UA=\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36\"; for u in \"https://oldoak.com/apartment-rentals/\" \"https://www.tricar.com/rent-an-apartment/london-apartments/\" \"https://oldoakproperties.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx\" \"https://tricar.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx\"; do n=$(echo \"$u\" | sed 's|https://||;s|[/.?=]|_|g'); code=$(curl -sL -o \"$n.html\" -w \"%{http_code}\" -A \"$UA\" --max-time 40 \"$u\"); echo \"$u : $code ($(wc -c < \"$n.html\") octets)\"; done","description":"Fetch Old Oak and Tricar rental pages plus securecafe portals"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/lift-probe && UA=\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36\" && for s in \"greenwin.ca|https://www.greenwin.ca/apartments-for-rent/cities/toronto\" \"scpl.com|https://www.scpl.com/residential-rental/cities/toronto\" \"yorkproperty.ca|https://www.yorkproperty.ca/apartments-for-rent\" \"rentsarnia.com|https://rentsarnia.com/apartments-for-rent\" \"dmsproperty.com|https://www.dmsproperty.com/apartments-for-rent\" \"tvm.ca|https://www.tvm.ca/apartments-for-rent\" \"terracorp.ca|https://terracorp.ca/apartments-for-rent\" \"firstnorthpm.com|https://firstnorthpm.com/apartments-for-rent\" \"briarlane.ca|https://www.briarlane.ca/apartments-for-rent\" \"signetgroup.ca|https://www.signetgroup.ca/apartments\" \"sterlingkaramar.com|https://www.sterlingkaramar.com/apartments-for-rent\" \"panoramicproperties.ca|https://www.panoramicproperties.ca/apartments-for-rent\" \"drewloholdings.com|https://www.drewloholdings.com/apartments-for-rent\" \"urbandale.com|https://www.urbandale.com/rentals\"; do name=\"${s%%|*}\"; url=\"${s##*|}\"; (curl -sL --max-time 25 -A \"$UA\" \"$url\" -o \"$name.page\"; echo \"$name: cid=$(grep -o 'data-client-id=\"[0-9]*\"' \"$name.page\" | sort -u | head -2 | tr '\\n' ' ') tok=$(grep -o 'data-auth-token=\"[A-Za-z0-9]*\"' \"$name.page\" | sort -u | head -1) size=$(wc -c < \"$name.page\")\") & done; wait","description":"Fetch search pages and extract data-client-id / data-auth-token"}} {"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":"# Bounding boxes (lat_min, lat_max, lng_min, lng_max)\n_BBOX_QUEBEC = (46.55, 47.10, -71.75, -70.85) # Québec, Lévis, St-Augustin\n# garde-fou provincial : couvre Gatineau, l'Abitibi, le Saguenay, la Côte-Nord\n# et la Gaspésie (expansion provinciale) — même boîte que schema.finalize()\n_BBOX_SUD_QC = (44.50, 63.00, -80.00, -56.00)\n\n_VILLES_QUEBEC = {\"quebec\", \"levis\", \"saint-augustin-de-desmaures\",\n \"l'ancienne-lorette\", \"ancienne-lorette\"}\n\n\ndef _bbox_for(city: str) -> tuple[float, float, float, float]:\n key = strip_accents((city or \"\").strip().lower())\n return _BBOX_QUEBEC if key in _VILLES_QUEBEC else _BBOX_SUD_QC","new_string":"# Bounding boxes (lat_min, lat_max, lng_min, lng_max)\n_BBOX_QUEBEC = (46.55, 47.10, -71.75, -70.85) # Québec, Lévis, St-Augustin\n# garde-fou provincial : couvre Gatineau, l'Abitibi, le Saguenay, la Côte-Nord\n# et la Gaspésie (expansion provinciale) — même boîte que schema.finalize()\n_BBOX_SUD_QC = (44.50, 63.00, -80.00, -56.00)\n# Ontario (expansion 2026-08) : Windsor/île Pelée au sud, Kenora à l'ouest —\n# même boîte que schema.finalize()\n_BBOX_ONTARIO = (41.6, 56.9, -95.3, -74.3)\n\n_VILLES_QUEBEC = {\"quebec\", \"levis\", \"saint-augustin-de-desmaures\",\n \"l'ancienne-lorette\", \"ancienne-lorette\"}\n\n\ndef _bbox_for(city: str, province: str = \"QC\") -> tuple[float, float, float, float]:\n if (province or \"QC\").upper() == \"ON\":\n return _BBOX_ONTARIO\n key = strip_accents((city or \"\").strip().lower())\n return _BBOX_QUEBEC if key in _VILLES_QUEBEC else _BBOX_SUD_QC","replace_all":false}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -o -h -E \"\\\"?/?v[0-9]+/[a-z0-9_-]+/?\\\"?\" /tmp/hs_*.js | sort -u | head -40; echo ---; grep -o -h -E \".{80}window\\.apiResponses.{150}\" /tmp/hs_home_extra 2>/dev/null; grep -c \"apiResponses\" /tmp/homestead_home.html","description":"Find gateway API paths in JS"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"python3 - <<'EOF'\nimport json, collections\nprops = json.load(open('/tmp/capreit_feed.json'))\nprint(\"total:\", len(props))\nprovs = collections.Counter((p.get(\"province\") or \"\").strip().upper() for p in props)\nprint(\"provinces:\", provs)\non = [p for p in props if (p.get(\"province\") or \"\").strip().upper()==\"ON\"]\ncities = collections.Counter((p.get(\"city\") or \"\").strip() for p in on)\nprint(\"villes ON:\", dict(sorted(cities.items(), key=lambda x:-x[1])))\nvac = [p for p in on if p.get(\"has_vacancies\")]\nprint(\"ON avec vacances:\", len(vac))\nprint(\"exemple ON:\", json.dumps(vac[0], ensure_ascii=False)[:1500] if vac else None)\nEOF","description":"Analyze provinces and ON cities in CAPREIT feed"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp && ls -la sk_js_*.js | head; grep -l \"api\\.\" sk_js_*.js; echo ---; grep -ohE 'https?://[a-z0-9.-]+/[a-zA-Z0-9/_.-]*' sk_js_*.js | sort -u | head -40","description":"Check downloaded bundles and extract URLs"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/rcprobe && echo \"=== oldoak apartment-rentals: JSON/API hints ===\"; grep -oE '(rentcafe|securecafe|api|ajax|admin-ajax)[^\"'\\'' ]{0,80}' oldoak_com_apartment-rentals__html 2>/dev/null | head; ls | head -20","description":"Inspect saved Old Oak page for API hints"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -oE 'https?://[a-zA-Z0-9./_?&=%-]*(api|json|feed)[a-zA-Z0-9./_?&=%-]*' /tmp/killam-apts.html | sort | uniq -c | sort -rn | head -20; echo ---; grep -oE '/(apartments|residential)/[a-z0-9-]+' /tmp/killam-apts.html | sort -u | head -30; echo ---; grep -c 'views-row\\|node--type\\|property' /tmp/killam-apts.html","description":"Look for API endpoints and listing structure in Killam HTML"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -o -h -E \"makeRequest|endpoint[\\\"':= ]{1,4}[\\\"'][^\\\"']+[\\\"']|url[:=][\\\"'][^\\\"']*gateway[^\\\"']*[\\\"']\" /tmp/hs_*.js | sort -u | head; echo ===; grep -o -h -E \"[\\\"'\\`][a-z0-9_/-]*(properties|listings|suites|search|cities)[a-z0-9_/-]*[\\\"'\\`]\" /tmp/hs_*.js | sort -u | head -50","description":"Search JS for gateway endpoint paths"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a20bb9384d0bf5425","tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","description":"Running Download all skyline JS bundles and grep for LiftSystem token","usage":{"total_tokens":53993,"tool_uses":11,"duration_ms":48088},"last_tool_name":"Bash","uuid":"fcdfeb29-33bc-4bb5-9a18-890a62c78d54","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ab73b9acd1b64b5ac","tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","description":"Running Fetch Old Oak and Tricar rental pages plus securecafe portals","usage":{"total_tokens":63077,"tool_uses":17,"duration_ms":81687},"last_tool_name":"Bash","uuid":"3f003dd5-72dc-4173-8cfe-9fe05958c447","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bit64sq8f","tool_use_id":"toolu_01EMmM6Xxba3RZve5jFUhxFn","status":"completed","output_file":"","summary":"Fetch killamreit.com/apartments via Scrapfly ASP (no JS render)","uuid":"f9d0b153-c641-4a60-b521-f0eb00e50e85","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"adccc26b6ceb2a40c","tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","description":"Running Fetch search pages and extract data-client-id / data-auth-token","usage":{"total_tokens":50832,"tool_uses":8,"duration_ms":102383},"last_tool_name":"Bash","uuid":"8a8065f7-55c6-4ccf-ae44-a65e665a4b23","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5ff85c85f59f280b","tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","description":"Running Find gateway API paths in JS","usage":{"total_tokens":49724,"tool_uses":13,"duration_ms":66126},"last_tool_name":"Bash","uuid":"d1da47d6-b89c-4535-bbe3-f3b0082cb5ce","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ae7b89cfd3c4e0a68","tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","description":"Editing louka/geocode.py","usage":{"total_tokens":66708,"tool_uses":11,"duration_ms":133774},"last_tool_name":"Edit","uuid":"c2ff001b-2120-4c39-adf6-0f52fd21b22e","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a954d1191be656f48","tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","description":"Running Analyze provinces and ON cities in CAPREIT feed","usage":{"total_tokens":38727,"tool_uses":5,"duration_ms":22913},"last_tool_name":"Bash","uuid":"ba78ae57-6a1b-4182-8f98-0d8744368e73","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Reading louka/connectors/minto.py","usage":{"total_tokens":23999,"tool_uses":2,"duration_ms":4941},"last_tool_name":"Read","uuid":"9aaf1435-b951-4990-935b-7146add98ada","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Reading louka/connectors/hazelview.py","usage":{"total_tokens":24006,"tool_uses":3,"duration_ms":6148},"last_tool_name":"Read","uuid":"e6779c01-adcb-47eb-b880-33bbc03e06ea","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Reading louka/connectors/boardwalk.py","usage":{"total_tokens":23992,"tool_uses":1,"duration_ms":4212},"last_tool_name":"Read","uuid":"6fb2d3b6-9093-4ed8-95c1-7b0a3670459c","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a20bb9384d0bf5425","tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","description":"Running Check downloaded bundles and extract URLs","usage":{"total_tokens":54389,"tool_uses":12,"duration_ms":53788},"last_tool_name":"Bash","uuid":"6c4cce4a-e958-494e-9ff1-ee675d2dfa66","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bp44lma61","tool_use_id":"toolu_018aT7r15FQySSXjYwUuzrYj","description":"Fetch search pages and extract data-client-id / data-auth-token","task_type":"local_bash","uuid":"96c1e8f0-ee15-4d2f-a6da-c4ed791e246c","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ab73b9acd1b64b5ac","tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","description":"Running Inspect saved Old Oak page for API hints","usage":{"total_tokens":64210,"tool_uses":18,"duration_ms":88481},"last_tool_name":"Bash","uuid":"2218ee14-09ee-4145-84d9-9d13deeb2b88","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bp44lma61","tool_use_id":"toolu_018aT7r15FQySSXjYwUuzrYj","status":"completed","output_file":"","summary":"Fetch search pages and extract data-client-id / data-auth-token","uuid":"1896cf75-71bc-4449-9bec-25dfa845a3a7","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8836bfc8e0969745","tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","description":"Running Look for API endpoints and listing structure in Killam HTML","usage":{"total_tokens":42028,"tool_uses":9,"duration_ms":44069},"last_tool_name":"Bash","uuid":"39584863-ed0d-4da9-851a-0a488aa39005","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5ff85c85f59f280b","tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","description":"Running Search JS for gateway endpoint paths","usage":{"total_tokens":49964,"tool_uses":14,"duration_ms":71828},"last_tool_name":"Bash","uuid":"29df7aa4-4317-4a52-b78f-b0527cf882a7","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUNi4YRg5RF2Bsvm1R","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RuAwwgBg5x3WrmK4chvrKw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":"# Bounding boxes (lat_min, lat_max, lng_min, lng_max)\n_BBOX_QUEBEC = (46.55, 47.10, -71.75, -70.85) # Québec, Lévis, St-Augustin\n# garde-fou provincial : couvre Gatineau, l'Abitibi, le Saguenay, la Côte-Nord\n# et la Gaspésie (expansion provinciale) — même boîte que schema.finalize()\n_BBOX_SUD_QC = (44.50, 63.00, -80.00, -56.00)\n\n_VILLES_QUEBEC = {\"quebec\", \"levis\", \"saint-augustin-de-desmaures\",\n \"l'ancienne-lorette\", \"ancienne-lorette\"}\n\n\ndef _bbox_for(city: str) -> tuple[float, float, float, float]:\n key = strip_accents((city or \"\").strip().lower())\n return _BBOX_QUEBEC if key in _VILLES_QUEBEC else _BBOX_SUD_QC","new_string":"# Bounding boxes (lat_min, lat_max, lng_min, lng_max)\n_BBOX_QUEBEC = (46.55, 47.10, -71.75, -70.85) # Québec, Lévis, St-Augustin\n# garde-fou provincial : couvre Gatineau, l'Abitibi, le Saguenay, la Côte-Nord\n# et la Gaspésie (expansion provinciale) — même boîte que schema.finalize()\n_BBOX_SUD_QC = (44.50, 63.00, -80.00, -56.00)\n# Ontario (expansion 2026-08) : Windsor/île Pelée au sud, Kenora à l'ouest —\n# même boîte que schema.finalize()\n_BBOX_ONTARIO = (41.6, 56.9, -95.3, -74.3)\n\n_VILLES_QUEBEC = {\"quebec\", \"levis\", \"saint-augustin-de-desmaures\",\n \"l'ancienne-lorette\", \"ancienne-lorette\"}\n\n\ndef _bbox_for(city: str, province: str = \"QC\") -> tuple[float, float, float, float]:\n if (province or \"QC\").upper() == \"ON\":\n return _BBOX_ONTARIO\n key = strip_accents((city or \"\").strip().lower())\n return _BBOX_QUEBEC if key in _VILLES_QUEBEC else _BBOX_SUD_QC"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":150,"cache_read_input_tokens":66405,"cache_creation":{"ephemeral_5m_input_tokens":150,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d22a1f6d-f0aa-40fc-aa7b-b366ccc87f79"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RuAwwgBg5x3WrmK4chvrKw","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py has been updated successfully."}]},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b94d1781-be46-48f9-a4f0-a8a3bd27cfbe","timestamp":"2026-08-27T03:54:56.927Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaTsMiCbFHAmweg13Bs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018aT7r15FQySSXjYwUuzrYj","name":"Bash","input":{"command":"cd /tmp/lift-probe && UA=\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36\" && for s in \"greenwin.ca|https://www.greenwin.ca/apartments-for-rent/cities/toronto\" \"scpl.com|https://www.scpl.com/residential-rental/cities/toronto\" \"yorkproperty.ca|https://www.yorkproperty.ca/apartments-for-rent\" \"rentsarnia.com|https://rentsarnia.com/apartments-for-rent\" \"dmsproperty.com|https://www.dmsproperty.com/apartments-for-rent\" \"tvm.ca|https://www.tvm.ca/apartments-for-rent\" \"terracorp.ca|https://terracorp.ca/apartments-for-rent\" \"firstnorthpm.com|https://firstnorthpm.com/apartments-for-rent\" \"briarlane.ca|https://www.briarlane.ca/apartments-for-rent\" \"signetgroup.ca|https://www.signetgroup.ca/apartments\" \"sterlingkaramar.com|https://www.sterlingkaramar.com/apartments-for-rent\" \"panoramicproperties.ca|https://www.panoramicproperties.ca/apartments-for-rent\" \"drewloholdings.com|https://www.drewloholdings.com/apartments-for-rent\" \"urbandale.com|https://www.urbandale.com/rentals\"; do name=\"${s%%|*}\"; url=\"${s##*|}\"; (curl -sL --max-time 25 -A \"$UA\" \"$url\" -o \"$name.page\"; echo \"$name: cid=$(grep -o 'data-client-id=\"[0-9]*\"' \"$name.page\" | sort -u | head -2 | tr '\\n' ' ') tok=$(grep -o 'data-auth-token=\"[A-Za-z0-9]*\"' \"$name.page\" | sort -u | head -1) size=$(wc -c < \"$name.page\")\") & done; wait","description":"Fetch search pages and extract data-client-id / data-auth-token"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":0,"cache_read_input_tokens":49496,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"iterations":[{"input_tokens":2,"output_tokens":1275,"cache_read_input_tokens":49496,"cache_creation_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"type":"message"}],"output_tokens":1275,"output_tokens_details":{"thinking_tokens":439},"service_tier":"standard","inference_geo":"global"},"context_management":{"applied_edits":[]}},"parent_tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"979a5be2-876b-411e-87c9-000000000002"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018aT7r15FQySSXjYwUuzrYj","type":"tool_result","content":"sterlingkaramar.com: cid= tok= size= 12389\npanoramicproperties.ca: cid= tok= size= 14374\ndrewloholdings.com: cid= tok= size= 314344\nterracorp.ca: cid=data-client-id=\"684\" tok= size= 20352\nfirstnorthpm.com: cid=data-client-id=\"558\" tok= size= 26383\nyorkproperty.ca: cid= tok= size= 213102\nbriarlane.ca: cid=data-client-id=\"470\" tok= size= 54683\nrentsarnia.com: cid= tok= size= 14889\nscpl.com: cid= tok= size= 40193\nsignetgroup.ca: cid=data-client-id=\"84\" tok= size= 59360\ntvm.ca: cid=data-client-id=\"359\" tok= size= 32076\ngreenwin.ca: cid=data-client-id=\"2\" tok= size= 299923\ndmsproperty.com: cid=data-client-id=\"122\" tok= size= 74735\nurbandale.com: cid= tok= size= 75086","is_error":false}]},"parent_tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"314337ae-4189-43f5-a309-92ec9f668d28","timestamp":"2026-08-27T03:54:59.715Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaU9d1KUePW7fAfkbSx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vwi8DQgBQVBHpDeXMeTU1X","name":"Bash","input":{"command":"cd /tmp/rcprobe && UA=\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36\"; for u in \"https://oldoak.com/apartment-rentals/\" \"https://www.tricar.com/rent-an-apartment/london-apartments/\" \"https://oldoakproperties.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx\" \"https://tricar.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx\"; do n=$(echo \"$u\" | sed 's|https://||;s|[/.?=]|_|g'); code=$(curl -sL -o \"$n.html\" -w \"%{http_code}\" -A \"$UA\" --max-time 40 \"$u\"); echo \"$u : $code ($(wc -c < \"$n.html\") octets)\"; done","description":"Fetch Old Oak and Tricar rental pages plus securecafe portals"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1180,"cache_read_input_tokens":61708,"cache_creation":{"ephemeral_5m_input_tokens":1180,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b95a8279-e5e9-41b0-9c91-8c369bb52512"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vwi8DQgBQVBHpDeXMeTU1X","type":"tool_result","content":"https://oldoak.com/apartment-rentals/ : 200 ( 202870 octets)\nhttps://www.tricar.com/rent-an-apartment/london-apartments/ : 200 ( 1176856 octets)\nhttps://oldoakproperties.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx : 403 ( 5889 octets)\nhttps://tricar.securecafe.com/residentservices/apartmentsforrent/userlogin.aspx : 403 ( 5836 octets)","is_error":false}]},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"93b7525d-1068-4fda-bd4e-45089c9f29be","timestamp":"2026-08-27T03:54:55.777Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVABmPu7dUDpibkCtQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MtZYR73sWdmUwyHNMGmXN6","name":"Bash","input":{"command":"cd /tmp/rcprobe && echo \"=== oldoak apartment-rentals: JSON/API hints ===\"; grep -oE '(rentcafe|securecafe|api|ajax|admin-ajax)[^\"'\\'' ]{0,80}' oldoak_com_apartment-rentals__html 2>/dev/null | head; ls | head -20","description":"Inspect saved Old Oak page for API hints"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1113,"cache_read_input_tokens":62888,"cache_creation":{"ephemeral_5m_input_tokens":1113,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6ff0cf70-48f8-4d50-b13d-c0bd9a882e3c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MtZYR73sWdmUwyHNMGmXN6","type":"tool_result","content":"=== oldoak apartment-rentals: JSON/API hints ===\noldoak_com_apartment-rentals_.html\noldoak_com_searchlisting_aspx.html\noldoakproperties_securecafe_com_residentservices_apartmentsforrent_userlogin_aspx.html\nparamountapts_com_searchlisting_aspx.html\ntricar_securecafe_com_residentservices_apartmentsforrent_userlogin_aspx.html\nwww_tricar_com_.html\nwww_tricar_com_rent-an-apartment_london-apartments_.html","is_error":false}]},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"276fc7b9-0123-4a4e-aebb-1d0fcb71dd98","timestamp":"2026-08-27T03:55:01.990Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUpCywmJR2bmnnoVth","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Siz7KSycqNubt1V9SrqRUt","name":"Bash","input":{"command":"grep -o -h -E \"\\\"?/?v[0-9]+/[a-z0-9_-]+/?\\\"?\" /tmp/hs_*.js | sort -u | head -40; echo ---; grep -o -h -E \".{80}window\\.apiResponses.{150}\" /tmp/hs_home_extra 2>/dev/null; grep -c \"apiResponses\" /tmp/homestead_home.html","description":"Find gateway API paths in JS"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":530,"cache_read_input_tokens":49024,"cache_creation":{"ephemeral_5m_input_tokens":530,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"7da4f795-3bd7-4b47-9373-7cfc6e543026"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Siz7KSycqNubt1V9SrqRUt","type":"tool_result","content":"---\n0","is_error":false}]},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ea92092e-8142-4229-94a5-0584c9a50703","timestamp":"2026-08-27T03:54:57.236Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVGpsNAc5hGxxmBcAL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XCgqfbsyp2JFN3CaKbQK6r","name":"Bash","input":{"command":"grep -o -h -E \"makeRequest|endpoint[\\\"':= ]{1,4}[\\\"'][^\\\"']+[\\\"']|url[:=][\\\"'][^\\\"']*gateway[^\\\"']*[\\\"']\" /tmp/hs_*.js | sort -u | head; echo ===; grep -o -h -E \"[\\\"'\\`][a-z0-9_/-]*(properties|listings|suites|search|cities)[a-z0-9_/-]*[\\\"'\\`]\" /tmp/hs_*.js | sort -u | head -50","description":"Search JS for gateway endpoint paths"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":220,"cache_read_input_tokens":49554,"cache_creation":{"ephemeral_5m_input_tokens":220,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"a00818db-cf74-473e-bf91-4d2ceffff018"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nmakeRequest\n(eval):1: == not found","is_error":true,"tool_use_id":"toolu_01XCgqfbsyp2JFN3CaKbQK6r"}]},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"8e072cf1-19ae-481c-b204-8092d6de0376","timestamp":"2026-08-27T03:55:02.925Z","tool_use_result":"Error: Exit code 1\nmakeRequest\n(eval):1: == not found"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUNJkUcqVYdKvR4Rd4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CKFDkdXA4uJWuDNgHVVRb4","name":"Bash","input":{"command":"cd /tmp && grep -oE 'src=\"https://cdn.rentsync.com/site/skyline/js/[^\"]+\"' /tmp/skyline_home.html | sed 's/src=\"//;s/\"//' | while read u; do n=$(basename \"$u\"); [ -f \"sk_js_$n\" ] || curl -s --compressed -m 30 \"$u\" -o \"sk_js_$n\"; done; grep -l \"theliftsystem\\|auth_token\" sk_js_*.js","description":"Download all skyline JS bundles and grep for LiftSystem token"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1438,"cache_read_input_tokens":52445,"cache_creation":{"ephemeral_5m_input_tokens":1438,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"410ac649-d61d-4924-8252-59557a4a3620"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaV7ZGKcSaGwMnBT5Aw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SCuQ3TNDUoECj3pJSGaVzd","name":"Bash","input":{"command":"cd /tmp && ls -la sk_js_*.js | head; grep -l \"api\\.\" sk_js_*.js; echo ---; grep -ohE 'https?://[a-z0-9.-]+/[a-zA-Z0-9/_.-]*' sk_js_*.js | sort -u | head -40","description":"Check downloaded bundles and extract URLs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":376,"cache_read_input_tokens":53883,"cache_creation":{"ephemeral_5m_input_tokens":376,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"04a690b8-4a74-4e82-9964-abd60c3fd32d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CKFDkdXA4uJWuDNgHVVRb4","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"40dbea16-9628-4efd-bf06-986a747a261b","timestamp":"2026-08-27T03:54:55.147Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SCuQ3TNDUoECj3pJSGaVzd","type":"tool_result","content":"-rw-r--r--@ 1 simon-pierreboucher wheel 81623 Aug 26 23:54 sk_js_app.06837ae4.8e51e0fdd08f217adc9c.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 56508 Aug 26 23:54 sk_js_app.19e92a76.10d254076cf2f1e4ea8d.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 5145 Aug 26 23:54 sk_js_app.1be3ce18.d324edcb8ed6ab296418.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 56938 Aug 26 23:54 sk_js_app.2a42e354.831c46c6ceea838195c1.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 6065 Aug 26 23:54 sk_js_app.662d397a.eae14adf4cad3e82da62.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 206819 Aug 26 23:54 sk_js_app.711e1ffa.a1ffb5876518322a69b2.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 41520 Aug 26 23:54 sk_js_app.7d359b94.cbc5208d25f7ffc95187.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 15984 Aug 26 23:54 sk_js_app.a4f6e46a.3e13a09774592a56e3af.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 52920 Aug 26 23:54 sk_js_app.af83ce4e.854778e0701cec123a23.js\n-rw-r--r--@ 1 simon-pierreboucher wheel 10344 Aug 26 23:54 sk_js_app.b26ba8f7.333bb5ff0b7c613bf868.js\nsk_js_app.06837ae4.8e51e0fdd08f217adc9c.js\nsk_js_app.ce32dfc7.dc0643493d4768329160.js\nsk_js_app.d0ae3f07.387739f5659eb4109f6f.js\nsk_js_app.d93ce4e5.83957a40f2e0fe27350b.js\n---\nhttp://schema.org/\nhttp://www.w3.org/1998/Math/MathML\nhttp://www.w3.org/1999/xlink\nhttp://www.w3.org/2000/svg\nhttps://cdn.rentsync.com/review/fpn/\nhttps://cdn.rentsync.com/site/fpn/floorplan-navigator.min.js\nhttps://cdn.rentsync.com/site/skyline/\nhttps://cdn.rentsync.com/staging/fpn/floorplan-navigator.min.js\nhttps://connect.facebook.net/en_US/fbevents.js\nhttps://maps.googleapis.com/maps/api/js\nhttps://player.vimeo.com/video/\nhttps://policies.google.com/privacy\nhttps://policies.google.com/terms\nhttps://rentsync.s3.amazonaws.com/logos/rentsync_footer_logo\nhttps://s3.amazonaws.com/lws_lift\nhttps://storage.googleapis.com/rentsync-assets\nhttps://vimeo.com/api/oembed.json\nhttps://www.google.com/maps/place/\nhttps://www.google.com/recaptcha/api.js\nhttps://www.googletagmanager.com/gtag/js\nhttps://www.googletagmanager.com/gtm.js","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b9cc9c28-96cb-4bf9-b9a7-f4f60de5766f","timestamp":"2026-08-27T03:54:59.117Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EMmM6Xxba3RZve5jFUhxFn","type":"tool_result","content":"200 1993715","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"913ea735-fcc8-49a1-8270-9035ba2a7e6d","timestamp":"2026-08-27T03:54:56.095Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVBNhkHFYHoGdNWBwQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D1GYkm3wHfVb9m1jrUjwKd","name":"Bash","input":{"command":"grep -oE 'https?://[a-zA-Z0-9./_?&=%-]*(api|json|feed)[a-zA-Z0-9./_?&=%-]*' /tmp/killam-apts.html | sort | uniq -c | sort -rn | head -20; echo ---; grep -oE '/(apartments|residential)/[a-z0-9-]+' /tmp/killam-apts.html | sort -u | head -30; echo ---; grep -c 'views-row\\|node--type\\|property' /tmp/killam-apts.html","description":"Look for API endpoints and listing structure in Killam HTML"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":578,"cache_read_input_tokens":41370,"cache_creation":{"ephemeral_5m_input_tokens":578,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b941ef7d-82d5-4e3d-8484-d8f3275d6027"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PHB2iij61cC1GtcgxxqkwF","type":"tool_result","content":"total: 278\nprovinces: Counter({'ON': 108, 'BC': 80, 'QC': 43, 'NS': 19, 'AB': 16, '': 8, 'PE': 2, 'SK': 2})\nvilles ON: {'Toronto': 24, 'London': 17, 'Ottawa': 10, 'Burlington': 9, 'Scarborough': 7, 'Etobicoke': 7, 'Mississauga': 7, 'North York': 6, 'Oshawa': 4, 'Sarnia': 4, 'Brampton': 3, 'Oakville': 2, 'Waterloo': 2, 'Kitchener': 1, 'Pickering': 1, 'Thornhill': 1, 'Whitby': 1, 'Orleans': 1, '': 1}\nON avec vacances: 99\nexemple ON: {\"id\": 16510, \"englishPropertyId\": 11140, \"url\": \"https://www.capreit.ca/fr/appartements-a-louer/scarborough-on/10-tuxedo-court-apartments/\", \"title\": \"Les Appartements 10 Tuxedo Court\", \"office_number\": \"40010\", \"latitude\": 43.779525, \"longitude\": -79.232323, \"call_for_pricing\": false, \"address\": \"10 Tuxedo Court\", \"city\": \"Scarborough\", \"province\": \"ON\", \"postal_code\": \"M1G 3S6\", \"nearest_intersection\": \"Markham and Ellesmere\", \"virtual_tours\": [{\"caption\": \"10 Tuxedo Court Apartments\", \"link\": \"https://my.matterport.com/show/?m=ga8RBFXQKqx&nomenu=1&autostart=1\"}], \"book_tour_url\": \"\", \"view_all_floor_plans\": {\"ID\": 28813, \"id\": 28813, \"title\": \"40010 - Tuxedo Court Apartments - 10 Tuxedo Court - ALL\", \"filename\": \"40010-Tuxedo-Court-Apartments-10-Tuxedo-Court-ALL.pdf\", \"filesize\": 180663, \"url\": \"https://www.capreit.ca/wp-content/uploads/2021/09/40010-Tuxedo-Court-Apartments-10-Tuxedo-Court-ALL.pdf\", \"link\": \"https://www.capreit.ca/fr/appartements-a-louer/scarborough-on/10-tuxedo-court-apartments/40010-tuxedo-court-apartments-10-tuxedo-court-all-2/\", \"alt\": \"\", \"author\": \"4\", \"description\": \"\", \"caption\": \"\", \"name\": \"40010-tuxedo-court-apartments-10-tuxedo-court-all-2\", \"status\": \"inherit\", \"uploaded_to\": 16510, \"date\": \"2021-11-28 20:30:39\", \"modified\": \"2021-11-28 20:30:39\", \"menu_order\": 0, \"mime_type\": \"application/pdf\", \"type\": \"application\", \"subtype\": \"pdf\", \"icon\": \"https://www.capreit.ca/wp-includes/images/media/document.png\"}, \"incentive\": \"\", \"distance\": 0, \"mi","is_error":false}]},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"e097049e-4730-41ad-b028-e5f25c57ba3f","timestamp":"2026-08-27T03:54:58.642Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D1GYkm3wHfVb9m1jrUjwKd","type":"tool_result","content":" 1 https://maps.googleapis.com/maps/api/js?key=AIzaSyC4ELwmY53w6Io-60vPWF7-BTgLAL3vejY\n 1 https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js\n---\n/apartments/ab\n/apartments/bc\n/apartments/nb\n/apartments/nl\n/apartments/ns\n/apartments/on\n/apartments/pe\n---\n1245","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"0d35e019-f072-4121-90cf-dccfd1f0ae0a","timestamp":"2026-08-27T03:55:02.852Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUuj7t3Y2cNW2SRvza","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PHB2iij61cC1GtcgxxqkwF","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport json, collections\nprops = json.load(open('/tmp/capreit_feed.json'))\nprint(\"total:\", len(props))\nprovs = collections.Counter((p.get(\"province\") or \"\").strip().upper() for p in props)\nprint(\"provinces:\", provs)\non = [p for p in props if (p.get(\"province\") or \"\").strip().upper()==\"ON\"]\ncities = collections.Counter((p.get(\"city\") or \"\").strip() for p in on)\nprint(\"villes ON:\", dict(sorted(cities.items(), key=lambda x:-x[1])))\nvac = [p for p in on if p.get(\"has_vacancies\")]\nprint(\"ON avec vacances:\", len(vac))\nprint(\"exemple ON:\", json.dumps(vac[0], ensure_ascii=False)[:1500] if vac else None)\nEOF","description":"Analyze provinces and ON cities in CAPREIT feed"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":430,"cache_read_input_tokens":38234,"cache_creation":{"ephemeral_5m_input_tokens":430,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01XqJ5hNZAJwUgqCdi2VCAib","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"8793f483-f93a-48ba-ac72-aecd66341d10"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUvPJR1BXLfWQ27Loj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RCijmX16j6NR2EPvqaHCaz","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/boardwalk.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12256,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12256,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6c19f2c0-fd5a-46b8-8ffd-95bfc3898e47"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RCijmX16j6NR2EPvqaHCaz","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/boardwalk.py : connecteur Boardwalk REIT (bwalk.com)\n5\t# Pages de villes de la région de Montréal rendues serveur (HubSpot CMS) :\n6\t# Longueuil, Laval, Île-des-Sœurs/Verdun, Ville Saint-Laurent. Fiches\n7\t# propriétés avec cartes de types de suites (« À partir de … $ ») qui\n8\t# portent aussi superficie (pi ca), c. à c./sdb et le statut (« N logements\n9\t# disponibles » / « liste d'attente ») ; adresse complète + téléphone dans\n10\t# l'en-tête (p.address-and-phone). Les pages de suites ne servent plus qu'aux\n11\t# photos spécifiques, via le cache self.detail().\n12\t# REIT pancanadien : seules les propriétés du Grand Montréal sont couvertes.\n13\t# -----------------------------------------------------------------------------\n14\tfrom __future__ import annotations\n15\t\n16\timport hashlib\n17\timport re\n18\t\n19\tfrom bs4 import BeautifulSoup\n20\t\n21\tfrom ..schema import Listing, normalize_unit_type, parse_price\n22\tfrom .base import BaseConnector\n23\t\n24\tBASE = \"https://www.bwalk.com\"\n25\t\n26\t# Pages de villes du Grand Montréal -> (ville réelle, secteur par défaut)\n27\tCITY_PAGES = {\n28\t f\"{BASE}/fr-ca/appartements-a-louer-a-montreal-longueuil\":\n29\t (\"Longueuil\", \"\"),\n30\t f\"{BASE}/fr-ca/appartements-a-louer-a-montreal-laval\":\n31\t (\"Laval\", \"\"),\n32\t f\"{BASE}/fr-ca/appartements-a-louer-a-montreal-nuns-island-verdun\":\n33\t (\"Montréal\", \"Île-des-Sœurs (Verdun)\"),\n34\t f\"{BASE}/fr-ca/appartements-a-louer-a-montreal-ville-saint-laurent\":\n35\t (\"Montréal\", \"Saint-Laurent\"),\n36\t}\n37\t\n38\tPROP_RE = re.compile(\n39\t r'href=\"(/fr-ca/appartements-a-louer-a-montreal-[a-z0-9\\-]+/'\n40\t r'[a-z0-9\\-]+/[a-z0-9\\-]+)\"')\n41\tPRICE_RE = re.compile(r'À partir de\\s*([\\d\\s\\u00a0,.]+\\$)')\n42\t# superficie : « 900 », « 648 - 760 », « 1 408 » (séparateur de milliers) —\n43\t# le nombre de chambres qui suit (« 3 c. à c. ») ne doit pas être aspiré\n44\tAREA_RE = re.compile(\n45\t r'Superficie\\s*\\(pi\\s*ca\\)\\s*:?\\s*([\\d\\s\\u00a0-]+?)'\n46\t r'\\s*(?:\\d+\\s*c\\.\\s*à\\s*c\\.|\\||sdb|[A-Za-z]|$)')\n47\tBEDS_RE = re.compile(r'(\\d+)\\s*c\\.\\s*à\\s*c\\.')\n48\tBATHS_RE = re.compile(r'(\\d+)\\s*sdb')\n49\tPHONE_RE = re.compile(r'\\(?(\\d{3})\\)?[\\s.\\-]?(\\d{3})[\\s.\\-](\\d{4})')\n50\t\n51\t\n52\t_BED_TYPES = {1: \"3½\", 2: \"4½\", 3: \"5½\", 4: \"6½\"}\n53\t\n54\t\n55\tdef _suite_type(name: str) -> str:\n56\t \"\"\"« 3 1/2 Pièces » -> 3½ ; « Maison en Rangée avec N Chambres » -> Maison ;\n57\t « 2 Chambres » -> 4½.\"\"\"\n58\t low = name.lower()\n59\t if \"maison\" in low or \"rang\" in low:\n60\t return \"Maison\"\n61\t m = re.search(r\"(\\d)\\s*chambre\", low)\n62\t if m:\n63\t return _BED_TYPES.get(int(m.group(1)), \"\")\n64\t return normalize_unit_type(name)\n65\t\n66\t\n67\tclass BoardwalkConnector(BaseConnector):\n68\t source_id = \"boardwalk\"\n69\t request_delay = 0.6\n70\t max_properties = 25 # garde-fou\n71\t max_images = 25\n72\t\n73\t def fetch(self) -> list[Listing]:\n74\t listings: list[Listing] = []\n75\t seen: set[str] = set()\n76\t count = 0\n77\t for city_url, (city, default_sector) in CITY_PAGES.items():\n78\t try:\n79\t html = self.get(city_url).text\n80\t except Exception:\n81\t continue\n82\t for path in dict.fromkeys(PROP_RE.findall(html)):\n83\t if path in seen:\n84\t continue\n85\t seen.add(path)\n86\t if count >= self.max_properties:\n87\t break\n88\t count += 1\n89\t try:\n90\t listings.extend(\n91\t self._property_listings(path, city, default_sector))\n92\t except Exception:\n93\t continue\n94\t\n95\t # Unicité des external_id (deux cartes peuvent pointer vers la même\n96\t # page de type de suite avec des prix différents)\n97\t used: dict[str, int] = {}\n98\t for lst in listings:\n99\t n = used.get(lst.external_id, 0)\n100\t used[lst.external_id] = n + 1\n101\t if n:\n102\t lst.external_id = f\"{lst.external_id}-{n + 1}\"\n103\t return listings\n104\t\n105\t def _property_listings(self, path: str, city: str,\n106\t default_sector: str) -> list[Listing]:\n107\t url = BASE + path\n108\t prop_slug = path.rstrip(\"/\").split(\"/\")[-1]\n109\t html = self.get(url).text\n110\t soup = BeautifulSoup(html, \"html.parser\")\n111\t\n112\t t = soup.find(\"title\")\n113\t name = (t.get_text(strip=True).split(\"|\")[0].strip()\n114\t if t else prop_slug.replace(\"-\", \" \"))\n115\t\n116\t # Adresse complète + téléphone : en-tête\n117\t address = \"\"\n118\t phone = \"\"\n119\t ap = soup.select_one(\"p.address-and-phone\")\n120\t if ap:\n121\t ap_text = re.sub(r\"\\s+\", \" \", ap.get_text(\" \", strip=True))\n122\t pm_ = PHONE_RE.search(ap_text)\n123\t if pm_:\n124\t phone = \"-\".join(pm_.groups())\n125\t ap_text = ap_text[: pm_.start()].strip(\" ,\")\n126\t address = ap_text\n127\t if not address:\n128\t # repli : texte alt des photos « photo de la propriété pour le … »\n129\t am = re.search(\n130\t r'photo de la propri[ée]t[ée] pour le\\s*([^\"<>]{5,90})', html)\n131\t if am:\n132\t address = am.group(1).strip()\n133\t\n134\t # Galerie photo (swiper)\n135\t images: list[str] = []\n136\t for img in soup.select(\"img[src]\"):\n137\t src = img.get(\"src\", \"\")\n138\t if re.search(r\"hubfs/.*(bw_properties|Web%20Photos|Web Photos)\",\n139\t src) and src.startswith(\"http\"):\n140\t if src not in images:\n141\t images.append(src)\n142\t images = images[: self.max_images]\n143\t\n144\t # Description de la propriété\n145\t desc = \"\"\n146\t dh = soup.find(string=re.compile(\"Description de la propriété\"))\n147\t if dh:\n148\t sec = dh.find_parent()\n149\t nxt = sec.find_next(\"p\") if sec else None\n150\t if nxt:\n151\t desc = nxt.get_text(\" \", strip=True)[:600]\n152\t if not desc:\n153\t og = soup.find(\"meta\", attrs={\"property\": \"og:description\"})\n154\t if og and og.get(\"content\"):\n155\t desc = og[\"content\"].strip()[:600]\n156\t\n157\t # Commodités (« Caractéristiques et espaces d'agrément »)\n158\t amenities: list[str] = []\n159\t ah = soup.find(string=re.compile(\"Caractéristiques et espaces\"))\n160\t if ah:\n161\t cont = ah.find_parent()\n162\t for _ in range(3):\n163\t if cont is None:\n164\t break\n165\t lis = cont.find_all(\"li\")\n166\t if lis:\n167\t break\n168\t cont = cont.parent\n169\t if cont:\n170\t for li in cont.find_all(\"li\")[:25]:\n171\t txt = li.get_text(\" \", strip=True)\n172\t if txt and len(txt) < 50 and txt not in amenities:\n173\t amenities.append(txt)\n174\t\n175\t # Cartes de types de suites :
\n176\t # La carte porte prix, superficie (pi ca), c. à c. et sdb ; le groupe\n177\t # parent (div.unit_type) porte le statut (« N logements disponibles »\n178\t # ou « liste d'attente »). Plus besoin de visiter la fiche de suite\n179\t # pour ces champs — elle ne sert qu'aux photos (via self.detail).\n180\t listings: list[Listing] = []\n181\t for h4 in soup.select(\"h4.highlight-suite\"):\n182\t try:\n183\t a = h4.find(\"a\")\n184\t if not a:\n185\t continue\n186\t suite_name = a.get_text(\" \", strip=True)\n187\t suite_href = a.get(\"href\") or \"\"\n188\t suite_url = (BASE + suite_href\n189\t if suite_href.startswith(\"/\") else suite_href)\n190\t card = h4.parent\n191\t card_text = re.sub(r\"\\s+\", \" \", card.get_text(\" \", strip=True)\n192\t if card else \"\")\n193\t price_label = \"\"\n194\t pm = PRICE_RE.search(card_text)\n195\t if pm:\n196\t price_label = \"À partir de \" + pm.group(1).strip()\n197\t price = parse_price(price_label)\n198\t\n199\t # Superficie / chambres / sdb depuis la carte elle-même\n200\t detail_bits: list[str] = []\n201\t suite_amenities = amenities\n202\t am_ = AREA_RE.search(card_text)\n203\t if am_:\n204\t rng = re.sub(r\"[\\s ]+\", \" \", am_.group(1)).strip()\n205\t detail_bits.append(f\"Superficie (pi ca) : {rng}\")\n206\t lo = re.sub(r\"[\\s\\u00a0]\", \"\", rng.split(\"-\")[0])\n207\t if lo.isdigit():\n208\t # borne basse -> texte brut, finalize() dérive area_sqft\n209\t suite_amenities = amenities + [f\"{lo} pi ca\"]\n210\t bm = BEDS_RE.search(card_text)\n211\t if bm:\n212\t detail_bits.append(f\"{bm.group(1)} c. à c.\")\n213\t sm = BATHS_RE.search(card_text)\n214\t if sm:\n215\t detail_bits.append(f\"{sm.group(1)} sdb\")\n216\t\n217\t # Statut du groupe : disponible ou liste d'attente\n218\t availability = \"Disponible\"\n219\t if re.search(r\"liste d.attente\", card_text, re.I):\n220\t availability = \"Sur la liste d'attente\"\n221\t else:\n222\t group = card.find_parent(class_=\"unit_type\") if card else None\n223\t if group:\n224\t gm = re.search(r\"(\\d+)\\s*logements?\\s*disponibles?\",\n225\t group.get_text(\" \", strip=True), re.I)\n226\t if gm:\n227\t availability = f\"{gm.group(1)} logement(s) disponible(s)\"\n228\t\n229\t # Photos spécifiques de la suite (page détail, cache BD)\n230\t suite_imgs: list[str] = []\n231\t if suite_url.startswith(BASE) and self.use_detail_cache:\n232\t key = hashlib.sha1(\n233\t (suite_url + \"|\" + card_text).encode(\"utf-8\")).hexdigest()\n234\t payload = self.detail(\n235\t f\"{prop_slug}-{suite_href.rstrip('/').split('/')[-1]}\",\n236\t key, lambda u=suite_url: self._suite_images(u))\n237\t suite_imgs = payload.get(\"images\") or []\n238\t\n239\t type_slug = (suite_href.rstrip(\"/\").split(\"/\")[-1]\n240\t or re.sub(r\"[^a-z0-9]+\", \"-\",\n241\t suite_name.lower()).strip(\"-\"))\n242\t details = {\"contact\": {\"phone\": phone}} if phone else {}\n243\t listings.append(Listing(\n244\t source=self.source_id,\n245\t external_id=f\"{prop_slug}-{type_slug}\",\n246\t url=suite_url or url,\n247\t title=f\"{name} — {suite_name}\",\n248\t address=address,\n249\t sector=default_sector,\n250\t city=city,\n251\t unit_type=_suite_type(suite_name),\n252\t price=price,\n253\t price_label=price_label,\n254\t availability=availability,\n255\t description=\" — \".join(\n256\t x for x in [desc] + detail_bits if x)[:600],\n257\t amenities=suite_amenities,\n258\t details=details,\n259\t images=(suite_imgs or images)[: self.max_images],\n260\t ))\n261\t except Exception:\n262\t continue\n263\t return listings\n264\t\n265\t def _suite_images(self, suite_url: str) -> dict:\n266\t \"\"\"Photos propres à un type de suite (page détail de la suite).\"\"\"\n267\t try:\n268\t sh = self.get(suite_url).text\n269\t except Exception:\n270\t return {}\n271\t imgs: list[str] = []\n272\t ssoup = BeautifulSoup(sh, \"html.parser\")\n273\t for img in ssoup.select(\"img[src]\"):\n274\t src = img.get(\"src\", \"\")\n275\t if (re.search(r\"hubfs/.*(bw_properties|Web%20Photos|Web Photos)\",\n276\t src) and src.startswith(\"http\")\n277\t and src not in imgs):\n278\t imgs.append(src)\n279\t return {\"images\": imgs[: self.max_images]}\n280\t"}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"8a9b7729-2f08-4e3a-8ea3-efcb490e2cbb","timestamp":"2026-08-27T03:54:56.807Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaUvPJR1BXLfWQ27Loj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JEkBd9tM797F5ZivaTSohF","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/minto.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12256,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12256,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b868f4a9-6c83-4bb5-ae01-bac71bb2d698"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JEkBd9tM797F5ZivaTSohF","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/minto.py : connecteur Minto Apartments (mintoapartments.com)\n5\t# Page « projects » Montréal rendue serveur : Rockhill, Haddon Hall, Le 4300,\n6\t# Le Hill-Park. Chaque fiche propriété (main.html) liste ses types de suites\n7\t# dans des cartes .projects-apartamets-unit-card : nom (h4), disponibilité\n8\t# (« Available now » / « Available September 17 » / « Not available »),\n9\t# prix ($X - $Y), pi² (span icon-svg-column), sdb, galerie photo par type\n10\t# (tableaux JS `lightboxImages…`). La section Contact donne l'adresse\n11\t# complète, le quartier (« Neighbourhood: ») et le téléphone/courriel ;\n12\t# les sections Features listent les commodités (items à coche).\n13\t# Une annonce par type de suite disponible.\n14\t# -----------------------------------------------------------------------------\n15\tfrom __future__ import annotations\n16\t\n17\timport re\n18\t\n19\tfrom bs4 import BeautifulSoup\n20\t\n21\tfrom ..schema import Listing, normalize_unit_type, parse_price, strip_accents\n22\tfrom .base import BaseConnector\n23\t\n24\tBASE = \"https://www.mintoapartments.com\"\n25\tLIST_URL = f\"{BASE}/montreal/apartment-rentals/projects.html\"\n26\t\n27\tPROJECT_RE = re.compile(\n28\t r'https?://www\\.mintoapartments\\.com/montreal/apartment-rentals/'\n29\t r'([A-Za-z0-9\\-]+)/main\\.html')\n30\tLIGHTBOX_RE = re.compile(r'var\\s+lightboxImages(\\d+)\\s*=\\s*\\[(.*?)\\];', re.S)\n31\tIMG_SRC_RE = re.compile(r\"src:\\s*'([^']+)'\")\n32\t_PHONE_RE = re.compile(r\"tel:([\\d\\-() .]{7,20})\")\n33\t_EMAIL_RE = re.compile(r\"mailto:([\\w.+-]+@[\\w-]+\\.[\\w.]+)\")\n34\t\n35\t# Secteurs connus recherchés dans le
(repli si pas de\n36\t# « Neighbourhood: ») ; certains sont des villes distinctes de l'île.\n37\t_KNOWN_SECTORS = [\n38\t \"Côte-des-Neiges\", \"Westmount\", \"Côte-Saint-Luc\", \"Mont-Royal\",\n39\t \"Notre-Dame-de-Grâce\", \"NDG\", \"Griffintown\", \"Plateau\", \"Ville-Marie\",\n40\t \"Downtown\",\n41\t]\n42\t_CITY_SECTORS = {\"westmount\": \"Westmount\", \"mont-royal\": \"Mont-Royal\",\n43\t \"cote-saint-luc\": \"Côte-Saint-Luc\"}\n44\t\n45\t\n46\tclass MintoConnector(BaseConnector):\n47\t source_id = \"minto\"\n48\t request_delay = 0.6\n49\t max_projects = 12 # garde-fou\n50\t max_images = 25\n51\t\n52\t def fetch(self) -> list[Listing]:\n53\t html = self.get(LIST_URL).text\n54\t slugs = list(dict.fromkeys(PROJECT_RE.findall(html)))\n55\t\n56\t listings: list[Listing] = []\n57\t for slug in slugs[: self.max_projects]:\n58\t try:\n59\t listings.extend(self._project_listings(slug))\n60\t except Exception:\n61\t continue\n62\t return listings\n63\t\n64\t def _project_listings(self, slug: str) -> list[Listing]:\n65\t url = f\"{BASE}/montreal/apartment-rentals/{slug}/main.html\"\n66\t html = self.get(url).text\n67\t soup = BeautifulSoup(html, \"html.parser\")\n68\t\n69\t name = slug.replace(\"-\", \" \").strip()\n70\t h1 = soup.find(\"h1\")\n71\t if h1 and h1.get_text(strip=True):\n72\t name = h1.get_text(\" \", strip=True)\n73\t t = soup.find(\"title\")\n74\t title_text = t.get_text(strip=True) if t else \"\"\n75\t\n76\t # Quartier : « Neighbourhood: Shaughnessy Village » (section Contact),\n77\t # sinon premier quartier connu mentionné dans le \n78\t sector = \"\"\n79\t nm = re.search(r\"Neighbourhood:\\s*([^<\\n]{2,50})\", html)\n80\t if nm:\n81\t sector = nm.group(1).strip()\n82\t else:\n83\t for s in _KNOWN_SECTORS:\n84\t if s.lower() in title_text.lower():\n85\t sector = \"Centre-ville\" if s == \"Downtown\" else s\n86\t break\n87\t city = _CITY_SECTORS.get(strip_accents(sector.lower()), \"Montréal\")\n88\t if sector == city:\n89\t sector = \"\"\n90\t\n91\t # Adresse complète (section Contact : rue + ville + code postal)\n92\t address = \"\"\n93\t am = re.search(\n94\t r'font-weight:\\s*normal\">\\s*([^<]{8,140})', html)\n95\t if am:\n96\t address = re.sub(r\"\\s*\\n\\s*\", \", \", am.group(1).strip())\n97\t address = re.sub(r\"\\s+\", \" \", address)\n98\t if not address:\n99\t am = re.search(\n100\t r'\\d{2,5},?\\s+(?:chemin|chem\\.|avenue|rue|boulevard|c[ôo]te)'\n101\t r'[^<>\"{}]{3,60}', html, re.I)\n102\t if am:\n103\t address = re.sub(r\"\\s+\", \" \", am.group(0)).strip().rstrip(\",\")\n104\t\n105\t # Contact location (téléphone / courriel) -> details.contact\n106\t details: dict = {}\n107\t contact: dict = {}\n108\t pm = _PHONE_RE.search(html)\n109\t if pm:\n110\t contact[\"phone\"] = pm.group(1).strip()\n111\t em = _EMAIL_RE.search(html)\n112\t if em:\n113\t contact[\"email\"] = em.group(1)\n114\t if contact:\n115\t details[\"contact\"] = contact\n116\t\n117\t # Photos de la propriété (carrousel d'entête, repli des galeries)\n118\t hero = [u for u in re.findall(\n119\t r'https://media\\.minto\\.com/(?:dev/)?slideshows/[^\"\\'\\s]+'\n120\t r'\\.(?:jpg|jpeg|png|webp)', html)]\n121\t hero = list(dict.fromkeys(hero))[:8]\n122\t\n123\t # Commodités : items à coche des sections « Building features » /\n124\t # « Suite features » (l'astérisque « * » = dans certaines suites)\n125\t amenities: list[str] = []\n126\t for span in soup.select('li span[class*=\"icon-svg-check-mark\"]'):\n127\t li = span.find_parent(\"li\")\n128\t txt = li.get_text(\" \", strip=True) if li else \"\"\n129\t if txt and txt not in amenities and len(txt) < 60:\n130\t amenities.append(txt)\n131\t amenities = amenities[:30]\n132\t\n133\t og = soup.find(\"meta\", attrs={\"name\": \"description\"})\n134\t desc = (og.get(\"content\", \"\").strip()[:600] if og else \"\")\n135\t\n136\t listings: list[Listing] = []\n137\t for card in soup.select(\".projects-apartamets-unit-card\"):\n138\t try:\n139\t h4 = card.select_one(\"h4.h-h3-minto\")\n140\t if not h4:\n141\t continue\n142\t suite_name = h4.get_text(\" \", strip=True)\n143\t if not suite_name or len(suite_name) > 70:\n144\t continue\n145\t\n146\t # Disponibilité par type de suite (« Available now »,\n147\t # « Available September 17 », « Not available »)\n148\t av_el = card.select_one('[class*=\"btn-availa\"]')\n149\t availability = (av_el.get_text(\" \", strip=True)\n150\t if av_el else \"\")\n151\t if re.match(r\"^not\\s+available$\", availability, re.I):\n152\t continue # type de suite non offert actuellement\n153\t\n154\t # Prix « $1,215 - $1,305 »\n155\t ph5 = card.select_one(\"h5.h-h3-minto\")\n156\t price_txt = ph5.get_text(\" \", strip=True) if ph5 else \"\"\n157\t pmatch = re.search(r'\\$[\\d,]+(?:\\s*-\\s*\\$[\\d,]+)?', price_txt)\n158\t if not pmatch:\n159\t continue # carte non tarifée\n160\t price_label = re.sub(r\"\\s+\", \" \", pmatch.group(0))\n161\t price = parse_price(\n162\t price_label.split(\"-\")[0].replace(\"$\", \"\")\n163\t .replace(\",\", \"\") + \" $\")\n164\t\n165\t # Superficie structurée « 425 - 560 » SQ FT (min de la plage)\n166\t area_sqft = None\n167\t sq_icon = card.select_one(\"span.icon-svg-column\")\n168\t if sq_icon:\n169\t sib = sq_icon.find_next_sibling(\"span\")\n170\t if sib:\n171\t nums = [float(n.replace(\",\", \"\")) for n in\n172\t re.findall(r\"[\\d,]+\", sib.get_text())]\n173\t nums = [n for n in nums if 80 <= n <= 20000]\n174\t if nums:\n175\t area_sqft = min(nums)\n176\t\n177\t bm = re.search(r'([\\d.]+)\\s*Bathroom',\n178\t card.get_text(\" \", strip=True))\n179\t\n180\t # Galerie du type de suite (tableau lightbox de la carte)\n181\t imgs: list[str] = []\n182\t gm = LIGHTBOX_RE.search(str(card))\n183\t if gm:\n184\t imgs = IMG_SRC_RE.findall(gm.group(2))\n185\t imgs = list(dict.fromkeys(imgs))[: self.max_images] or hero\n186\t\n187\t suite_slug = re.sub(r\"[^a-z0-9]+\", \"-\",\n188\t strip_accents(suite_name.lower())).strip(\"-\")\n189\t bits = [f\"{bm.group(1)} sdb\" if bm else \"\"]\n190\t listings.append(Listing(\n191\t source=self.source_id,\n192\t external_id=f\"{slug}-{suite_slug}\",\n193\t url=url,\n194\t title=f\"{name} — {suite_name}\",\n195\t address=address,\n196\t sector=sector,\n197\t city=city,\n198\t unit_type=normalize_unit_type(suite_name),\n199\t price=price,\n200\t price_label=f\"{price_label} /mois\",\n201\t availability=availability,\n202\t area_sqft=area_sqft,\n203\t description=\" — \".join(\n204\t x for x in [desc] + bits if x)[:600],\n205\t amenities=amenities,\n206\t details=dict(details),\n207\t images=imgs,\n208\t ))\n209\t except Exception:\n210\t continue\n211\t return listings\n212\t"}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"384fb4a5-3516-442b-af49-bce0be2518c9","timestamp":"2026-08-27T03:54:57.536Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AEHPbdqRRhrHZGrtp68UzH","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/hazelview.py : connecteur Hazelview Properties\n5\t# (hazelviewproperties.com — ex-Timbercreek). Le site est rendu côté client\n6\t# via l'API RentSync/LiftSystem (lift-api.rentsync.com/v2, client_id 497,\n7\t# jeton public embarqué dans le JS du site). On interroge /v2/cities pour\n8\t# les villes QC (toutes dans le Grand Montréal : Montréal, Verdun,\n9\t# Côte-Saint-Luc, Pointe-Claire, Longueuil...), puis /v2/search par ville et\n10\t# par nombre de chambres pour obtenir les types d'unités disponibles et leur\n11\t# loyer. Une annonce par immeuble et par type d'unité. La page immeuble du\n12\t# site (via cache BD) embarque un JSON complet (attribut data-locations de\n13\t# la carte) : commodités, galerie photos, animaux détaillés, suites.\n14\t# -----------------------------------------------------------------------------\n15\tfrom __future__ import annotations\n16\t\n17\timport html as htmllib\n18\timport json\n19\timport re\n20\t\n21\tfrom bs4 import BeautifulSoup\n22\t\n23\tfrom ..schema import Listing, strip_accents\n24\tfrom .base import BaseConnector\n25\t\n26\tGALLERY = \"https://assets.rentsync.com/timbercreek_communities/images/gallery/full/\"\n27\t\n28\tAPI = \"https://lift-api.rentsync.com/v2\"\n29\tCLIENT_ID = \"497\"\n30\tAUTH_TOKEN = \"sswpREkUtyeYjeoahA2i\" # jeton public (présent dans main.js)\n31\t\n32\tSEARCH_PARAMS = (\"only_available_suites=true&show_all_properties=false\"\n33\t \"&min_bath=-1&max_bath=10&min_rate=0&max_rate=10000\")\n34\t\n35\t# Villes QC admissibles (Grand Montréal) -> (ville, secteur imposé)\n36\t_GM_CITIES = {\n37\t \"montreal\": (\"Montréal\", None),\n38\t \"verdun\": (\"Montréal\", \"Verdun\"),\n39\t \"cote-saint-luc\": (\"Côte-Saint-Luc\", None),\n40\t \"dollard-des-ormeaux\": (\"Dollard-des-Ormeaux\", None),\n41\t \"pointe-claire\": (\"Pointe-Claire\", None),\n42\t \"longueuil\": (\"Longueuil\", None),\n43\t \"lasalle\": (\"Montréal\", \"LaSalle\"),\n44\t}\n45\t\n46\t# (min_bed, max_bed, type d'unité)\n47\t_BED_QUERIES = [(0, 0, \"Studio\"), (1, 1, \"3½\"), (2, 2, \"4½\"),\n48\t (3, 3, \"5½\"), (4, 5, \"6½\")]\n49\t_TAG_RE = re.compile(r\"<[^>]+>\")\n50\t\n51\t\n52\tdef _pets_from_flags(d: dict) -> str | None:\n53\t \"\"\"Drapeaux animaux du JSON immeuble ('1'/'0'/None) -> oui/non/conditions.\"\"\"\n54\t def flag(k):\n55\t v = d.get(k)\n56\t return None if v in (None, \"\") else str(v) == \"1\"\n57\t if flag(\"pets_not_allowed\"):\n58\t return \"non\"\n59\t small, cats, large = (flag(\"pets_small_dogs\"), flag(\"pets_cats\"),\n60\t flag(\"pets_large_dogs\"))\n61\t if any(v for v in (small, cats, large)):\n62\t # certains types refusés explicitement -> sous conditions\n63\t if False in (small, cats, large):\n64\t return \"conditions\"\n65\t return \"oui\"\n66\t if flag(\"pet_friendly\"):\n67\t return \"oui\"\n68\t if flag(\"pet_friendly\") is False:\n69\t return \"non\"\n70\t return None\n71\t\n72\t\n73\tclass HazelviewConnector(BaseConnector):\n74\t source_id = \"hazelview\"\n75\t request_delay = 0.6\n76\t max_cities = 10 # garde-fou\n77\t max_details = 150 # garde-fou pages immeuble (vraies requêtes)\n78\t\n79\t def _api(self, path: str, extra: str = \"\") -> list | dict:\n80\t url = (f\"{API}/{path}?client_id={CLIENT_ID}&auth_token={AUTH_TOKEN}\"\n81\t f\"&locale=en{('&' + extra) if extra else ''}\")\n82\t return self.get(url).json()\n83\t\n84\t def fetch(self) -> list[Listing]:\n85\t cities = self._api(\"cities\")\n86\t qc = []\n87\t for c in cities if isinstance(cities, list) else []:\n88\t if (c.get(\"province_code\") or \"\").upper() != \"QC\":\n89\t continue\n90\t key = strip_accents((c.get(\"city_name\") or \"\").strip().lower())\n91\t if key in _GM_CITIES:\n92\t qc.append((c.get(\"id\"), key))\n93\t\n94\t listings: list[Listing] = []\n95\t bed_range: dict[str, tuple[int, int]] = {}\n96\t for city_id, key in qc[: self.max_cities]:\n97\t city, forced_sector = _GM_CITIES[key]\n98\t for min_bed, max_bed, unit_type in _BED_QUERIES:\n99\t try:\n100\t props = self._api(\n101\t \"search\",\n102\t f\"city_ids={city_id}&min_bed={min_bed}\"\n103\t f\"&max_bed={max_bed}&{SEARCH_PARAMS}&limit=50\")\n104\t except Exception:\n105\t continue\n106\t if not isinstance(props, list):\n107\t continue\n108\t for p in props:\n109\t try:\n110\t lst = self._prop_listing(p, unit_type, min_bed,\n111\t city, forced_sector)\n112\t if lst:\n113\t listings.append(lst)\n114\t bed_range[lst.external_id] = (min_bed, max_bed)\n115\t except Exception:\n116\t continue\n117\t\n118\t # Page immeuble du site (cache BD, 1 requête par immeuble) : le JSON\n119\t # embarqué (data-locations) fournit commodités, galerie, animaux\n120\t # détaillés et suites (superficie, date de disponibilité par unité)\n121\t self._fetched = 0\n122\t memo: dict[str, dict] = {}\n123\t for lst in listings:\n124\t pid = lst.external_id.split(\"-\")[0]\n125\t if not lst.url:\n126\t continue\n127\t if pid not in memo:\n128\t key = f\"{pid}|{lst.availability}|{lst.address}\"\n129\t try:\n130\t memo[pid] = self.detail(\n131\t pid, key, lambda u=lst.url: self._fetch_building(u))\n132\t except Exception:\n133\t memo[pid] = {}\n134\t mn, mx = bed_range.get(lst.external_id, (None, None))\n135\t self._apply_building(lst, memo[pid], mn, mx)\n136\t return listings\n137\t\n138\t def _prop_listing(self, p: dict, unit_type: str, beds: int,\n139\t city: str, forced_sector: str | None) -> Listing | None:\n140\t if not p.get(\"availability_count\"):\n141\t return None\n142\t addr = p.get(\"address\") or {}\n143\t stats = ((p.get(\"statistics\") or {}).get(\"suites\") or {})\n144\t rates = stats.get(\"rates\") or {}\n145\t rmin, rmax = rates.get(\"min\"), rates.get(\"max\")\n146\t sq = stats.get(\"square_feet\") or {}\n147\t\n148\t def _num(v):\n149\t try:\n150\t return float(v)\n151\t except (TypeError, ValueError):\n152\t return None\n153\t\n154\t rmin, rmax = _num(rmin), _num(rmax)\n155\t price = rmin\n156\t if rmin and rmax and rmax != rmin:\n157\t price_label = f\"À partir de {int(rmin)} $ (max {int(rmax)} $)\"\n158\t elif rmin:\n159\t price_label = f\"{int(rmin)} $/mois\"\n160\t else:\n161\t price_label = \"\"\n162\t\n163\t sector = forced_sector or (addr.get(\"neighbourhood\") or \"\").strip()\n164\t details = p.get(\"details\") or {}\n165\t desc = _TAG_RE.sub(\" \", details.get(\"overview\") or \"\")\n166\t desc = re.sub(r\"\\s+\", \" \", desc).strip()[:500]\n167\t sbits = []\n168\t sqmin, sqmax = _num(sq.get(\"min\")), _num(sq.get(\"max\"))\n169\t if sqmin:\n170\t sqtxt = (f\"{int(sqmin)}-{int(sqmax)}\"\n171\t if sqmax and sqmax != sqmin else f\"{int(sqmin)}\")\n172\t sbits.append(f\"{sqtxt} pi²\")\n173\t sbits.append(f\"{p['availability_count']} unité(s) disponible(s)\")\n174\t\n175\t amenities = []\n176\t feats = _TAG_RE.sub(\"|\", details.get(\"features\") or \"\")\n177\t for f in feats.split(\"|\"):\n178\t f = f.strip()\n179\t if 2 < len(f) < 60 and f not in amenities:\n180\t amenities.append(f)\n181\t amenities = amenities[:20]\n182\t\n183\t images = []\n184\t if p.get(\"photo_path\"):\n185\t images.append(p[\"photo_path\"])\n186\t\n187\t pid = p.get(\"id\")\n188\t name = (p.get(\"name\") or \"\").strip()\n189\t geo = p.get(\"geocode\") or {}\n190\t try:\n191\t lat = float(geo.get(\"latitude\"))\n192\t lng = float(geo.get(\"longitude\"))\n193\t except (TypeError, ValueError):\n194\t lat = lng = None\n195\t\n196\t # champs structurés de l'API : animaux (bool), contact de location\n197\t pets = None\n198\t if isinstance(p.get(\"pet_friendly\"), bool):\n199\t pets = \"oui\" if p[\"pet_friendly\"] else \"non\"\n200\t details: dict = {}\n201\t contact = p.get(\"contact\") or {}\n202\t cinfo: dict = {}\n203\t if (contact.get(\"phone\") or \"\").strip():\n204\t cinfo[\"phone\"] = contact[\"phone\"].strip()\n205\t for em in (contact.get(\"email\") or \"\").split(\",\"):\n206\t em = em.strip()\n207\t if em and \"leadmanaging\" not in em: # relais de tracking exclu\n208\t cinfo[\"email\"] = em\n209\t break\n210\t if cinfo:\n211\t details[\"contact\"] = cinfo\n212\t\n213\t return Listing(\n214\t source=self.source_id,\n215\t external_id=f\"{pid}-{beds}bed\",\n216\t url=p.get(\"permalink\") or \"\",\n217\t title=f\"{name} — {unit_type}\",\n218\t address=\", \".join(x for x in [\n219\t (addr.get(\"address\") or \"\").strip(), city,\n220\t (addr.get(\"postal_code\") or \"\").strip()] if x),\n221\t sector=sector,\n222\t city=city,\n223\t unit_type=unit_type,\n224\t price=price,\n225\t price_label=price_label,\n226\t availability=(p.get(\"min_availability_date\")\n227\t or p.get(\"availability_status_label\") or \"\"),\n228\t area_sqft=sqmin if sqmin else None, # stats API (min du type)\n229\t pets=pets,\n230\t description=\" — \".join([desc] + sbits if desc else sbits)[:600],\n231\t amenities=amenities,\n232\t details=details,\n233\t images=images,\n234\t lat=lat,\n235\t lng=lng,\n236\t )\n237\t\n238\t # -- page immeuble du site (JSON embarqué data-locations) ------------------\n239\t def _fetch_building(self, url: str) -> dict:\n240\t \"\"\"Extrait le JSON immeuble embarqué dans la page (widget carte) :\n241\t commodités, services inclus, galerie, animaux détaillés, suites.\"\"\"\n242\t if self._fetched >= self.max_details:\n243\t raise RuntimeError(\"budget de pages immeuble atteint\")\n244\t self._fetched += 1\n245\t html = self.get(url).text\n246\t soup = BeautifulSoup(html, \"html.parser\")\n247\t el = soup.select_one(\"[data-locations]\")\n248\t if not el:\n249\t return {}\n250\t raw = el.get(\"data-locations\") or \"\"\n251\t try:\n252\t data = json.loads(raw)\n253\t except Exception:\n254\t data = json.loads(htmllib.unescape(raw))\n255\t node = (data[0] if isinstance(data, list) and data else {}) or {}\n256\t d = node.get(\"data\") or {}\n257\t out: dict = {}\n258\t\n259\t out[\"amenities\"] = [a.get(\"name\", \"\").strip()\n260\t for a in (d.get(\"Amenities\") or [])\n261\t if a.get(\"name\", \"\").strip()][:30]\n262\t out[\"utilities\"] = [u.get(\"name\", \"\").strip()\n263\t for u in (d.get(\"Utilities\") or [])\n264\t if isinstance(u, dict) and u.get(\"name\", \"\").strip()]\n265\t out[\"photos\"] = [GALLERY + ph[\"image\"]\n266\t for ph in (d.get(\"photos\") or [])\n267\t if ph.get(\"image\")][:15]\n268\t out[\"pets_flags\"] = {k: d.get(k) for k in\n269\t (\"pet_friendly\", \"pets_small_dogs\",\n270\t \"pets_large_dogs\", \"pets_cats\",\n271\t \"pets_not_allowed\") if d.get(k) is not None}\n272\t out[\"pets_details\"] = (d.get(\"pets_details\") or \"\").strip()\n273\t out[\"suites\"] = [{\n274\t \"bed\": s.get(\"bed\"), \"available\": s.get(\"available\"),\n275\t \"availability_date\": s.get(\"availability_date\"),\n276\t \"sq_ft\": s.get(\"sq_ft\"), \"furnished\": s.get(\"furnished\"),\n277\t } for s in (d.get(\"suites\") or [])]\n278\t return out\n279\t\n280\t def _apply_building(self, lst: Listing, d: dict,\n281\t min_bed: int | None, max_bed: int | None) -> None:\n282\t \"\"\"Reporte le JSON immeuble (frais/cache) sur l'annonce.\"\"\"\n283\t if not d:\n284\t return\n285\t merged = list(dict.fromkeys(\n286\t lst.amenities + (d.get(\"amenities\") or []) +\n287\t (d.get(\"utilities\") or [])))\n288\t if merged:\n289\t lst.amenities = merged[:30]\n290\t if d.get(\"photos\"):\n291\t lst.images = list(dict.fromkeys(lst.images + d[\"photos\"]))[:15]\n292\t pets = _pets_from_flags(d.get(\"pets_flags\") or {})\n293\t if pets:\n294\t lst.pets = pets\n295\t\n296\t # suites du type demandé : superficie et date précise si publiées\n297\t suites = []\n298\t for s in d.get(\"suites\") or []:\n299\t try:\n300\t bed = int(s.get(\"bed\"))\n301\t except (TypeError, ValueError):\n302\t continue\n303\t if min_bed is None or not (min_bed <= bed <= (max_bed or min_bed)):\n304\t continue\n305\t if str(s.get(\"available\")) == \"1\":\n306\t suites.append(s)\n307\t if suites:\n308\t if lst.area_sqft is None:\n309\t sqs = []\n310\t for s in suites:\n311\t try:\n312\t v = float(s.get(\"sq_ft\") or 0)\n313\t except (TypeError, ValueError):\n314\t v = 0\n315\t if v >= 80:\n316\t sqs.append(v)\n317\t if sqs:\n318\t lst.area_sqft = min(sqs)\n319\t dates = [s.get(\"availability_date\") for s in suites\n320\t if s.get(\"availability_date\")\n321\t and not str(s[\"availability_date\"]).startswith(\"0000\")]\n322\t if dates and len(dates) == len(suites):\n323\t # toutes les unités du type ont une date précise publiée\n324\t lst.availability = min(dates)\n325\t if all(str(s.get(\"furnished\")) == \"1\" for s in suites):\n326\t lst.furnished = True\n327\t"}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"10b9717a-84c3-409d-b976-337a1e1e25c5","timestamp":"2026-08-27T03:54:58.741Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaDc5ocWWRHCk8m2Fek","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011C3EtN9qh1geqktSaK5E2g","name":"Agent","input":{"description":"Élargir interrent/morguard/akelius","subagent_type":"general-purpose","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/interrent.py, louka/connectors/morguard.py, louka/connectors/akelius.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 3 cibles :\n1. **interrent.py** (InterRent REIT / CLV Group, irent.com + clvgroup.com, ~13 000 unités ; ON : Toronto, GTA, Ottawa, Hamilton, KW) : lis le connecteur (Rentsync et/ou RentCafe d'après nos recherches), repère le filtre QC, élargis aux villes ON sous _ONTARIO.\n2. **morguard.py** (morguardapartments.com, ~13 000 rés. ; ON : Toronto, Mississauga, Ottawa) : site Yardi RentCafe (searchlisting.aspx) — élargis aux propriétés ON sous _ONTARIO.\n3. **akelius.py** (rent.akelius.com, ~3 000 ; ON : Toronto, Ottawa) : portail SecureCafe — élargis aux villes Toronto/Ottawa sous _ONTARIO.\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, params) ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → note le nb de listings ; (c) modifie ; (d) re-teste sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Anti-bot (Cloudflare fréquent sur ces sites) → `self.get_resilient()` / `self.scrapfly(asp=True, render_js=True, country=\"ca\")` de BaseConnector (SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps, la sync prod tourne).\n\nStyle : commentaires en français, en-tête de fichier documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste, documente et passe au suivant."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":349,"cache_read_input_tokens":102869,"cache_creation":{"ephemeral_5m_input_tokens":349,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"7cb29235-c6b0-4ee9-9954-937bdc8191f4"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a10d9f8eef97b34a7","tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","description":"Élargir interrent/morguard/akelius","task_type":"local_agent","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/interrent.py, louka/connectors/morguard.py, louka/connectors/akelius.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 3 cibles :\n1. **interrent.py** (InterRent REIT / CLV Group, irent.com + clvgroup.com, ~13 000 unités ; ON : Toronto, GTA, Ottawa, Hamilton, KW) : lis le connecteur (Rentsync et/ou RentCafe d'après nos recherches), repère le filtre QC, élargis aux villes ON sous _ONTARIO.\n2. **morguard.py** (morguardapartments.com, ~13 000 rés. ; ON : Toronto, Mississauga, Ottawa) : site Yardi RentCafe (searchlisting.aspx) — élargis aux propriétés ON sous _ONTARIO.\n3. **akelius.py** (rent.akelius.com, ~3 000 ; ON : Toronto, Ottawa) : portail SecureCafe — élargis aux villes Toronto/Ottawa sous _ONTARIO.\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, params) ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → note le nb de listings ; (c) modifie ; (d) re-teste sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Anti-bot (Cloudflare fréquent sur ces sites) → `self.get_resilient()` / `self.scrapfly(asp=True, render_js=True, country=\"ca\")` de BaseConnector (SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps, la sync prod tourne).\n\nStyle : commentaires en français, en-tête de fichier documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste, documente et passe au suivant.","uuid":"ada2aae1-23a8-4958-9801-cf81c584caed","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 3 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 3 fichiers : louka/connectors/interrent.py, louka/connectors/morguard.py, louka/connectors/akelius.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 3 cibles :\n1. **interrent.py** (InterRent REIT / CLV Group, irent.com + clvgroup.com, ~13 000 unités ; ON : Toronto, GTA, Ottawa, Hamilton, KW) : lis le connecteur (Rentsync et/ou RentCafe d'après nos recherches), repère le filtre QC, élargis aux villes ON sous _ONTARIO.\n2. **morguard.py** (morguardapartments.com, ~13 000 rés. ; ON : Toronto, Mississauga, Ottawa) : site Yardi RentCafe (searchlisting.aspx) — élargis aux propriétés ON sous _ONTARIO.\n3. **akelius.py** (rent.akelius.com, ~3 000 ; ON : Toronto, Ottawa) : portail SecureCafe — élargis aux villes Toronto/Ottawa sous _ONTARIO.\n\nMÉTHODE par connecteur : (a) lis le fichier en entier, repère le filtre QC (whitelist villes, params) ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → note le nb de listings ; (c) modifie ; (d) re-teste sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Anti-bot (Cloudflare fréquent sur ces sites) → `self.get_resilient()` / `self.scrapfly(asp=True, render_js=True, country=\"ca\")` de BaseConnector (SCRAPFLY_KEY dans .env). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps, la sync prod tourne).\n\nStyle : commentaires en français, en-tête de fichier documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste, documente et passe au suivant."}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"e375476b-9636-4ac5-8fda-4e95faaebe97","timestamp":"2026-08-27T03:55:03.893Z"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp && grep -ohE '\"/[a-z0-9/_-]{2,60}\"' sk_js_*.js | sort -u | grep -iE 'api|search|propert|listing|suite' | head -30; echo ===; grep -ohE \"['\\\"][a-z0-9/_.-]*api[a-z0-9/_.-]*['\\\"]\" sk_js_*.js | sort -u | head -30","description":"Search bundles for API paths"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/rcprobe && echo \"=== OLDOAK ===\"; grep -oiE '(rentcafe|securecafe|admin-ajax|api\\.[a-z]+|wp-json)[^\"'\"'\"' ]{0,100}' oldoak_com_apartment-rentals_.html | sort -u | head -15; echo; echo \"=== TRICAR london ===\"; grep -oiE '(rentcafe|securecafe|admin-ajax|wp-json)[^\"'\"'\"' ]{0,100}' www_tricar_com_rent-an-apartment_london-apartments_.html | sort -u | head -15","description":"Grep API hints in Old Oak and Tricar pages"}} {"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":"def norm_key(address: str) -> str:\n \"\"\"Clé de cache : adresse normalisée (casse, accents, espaces, n° d'app.).\"\"\"\n s = strip_accents((address or \"\").lower())\n s = re.sub(r\"\\b(?:app?t?|appartement|unite|suite|#)\\.?\\s*[\\w-]+\\b\", \" \", s)\n s = re.sub(r\"[^a-z0-9]+\", \" \", s)\n return re.sub(r\"\\s+\", \" \", s).strip()","new_string":"def norm_key(address: str) -> str:\n \"\"\"Clé de cache : adresse normalisée (casse, accents, espaces, n° d'app.).\"\"\"\n s = strip_accents((address or \"\").lower())\n s = re.sub(r\"\\b(?:app?t?|appartement|unite|suite|#)\\.?\\s*[\\w-]+\\b\", \" \", s)\n s = re.sub(r\"[^a-z0-9]+\", \" \", s)\n return re.sub(r\"\\s+\", \" \", s).strip()\n\n\ndef cache_key(address: str, province: str = \"QC\") -> str:\n \"\"\"Clé geocode_cache province-aware : préfixe « on| » pour l'Ontario\n (évite toute collision d'adresses homonymes entre provinces) ; les clés\n québécoises restent identiques — le cache existant est préservé.\"\"\"\n k = norm_key(address)\n if k and (province or \"QC\").upper() == \"ON\":\n return \"on|\" + k\n return k","replace_all":false}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -o 'drupalSettings' /tmp/killam-apts.html | head -1; grep -oE '\"path\":\\{\"baseUrl[^}]*\\}' /tmp/killam-apts.html | head -c 300; echo; grep -oE 'src=\"[^\"]*\\.js[^\"]*\"' /tmp/killam-apts.html | sort -u | head -30","description":"Check for Drupal settings and JS bundles"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp && grep -oh '\"/properties\"' sk_js_*.js | head -2; grep -l '\"/properties\"' sk_js_*.js; grep -ohE '\"[/a-z0-9_-]{2,40}\"\\s*[,:)]' sk_js_app.06837ae4*.js | sort -u | head -40","description":"Find where /properties endpoint is used"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/lift-probe && for f in scpl.com yorkproperty.ca rentsarnia.com sterlingkaramar.com panoramicproperties.ca drewloholdings.com urbandale.com; do echo \"=== $f ===\"; grep -o '.\\{0,50\\}client.id.\\{0,60\\}' \"$f.page\" | head -3; grep -o 'theliftsystem[^\"]*' \"$f.page\" | head -2; done","description":"Grep pages for client id and liftsystem references"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp && grep -oE '.{200}\"/properties\".{200}' sk_js_app.19e92a76.10d254076cf2f1e4ea8d.js | head -3","description":"Show context around /properties in bundle"}} {"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":" def _build_query(self, address: str, city: str) -> str:\n q = self._clean(address)\n key = strip_accents(q.lower())\n if city and strip_accents(city.lower()) not in key:\n q += f\", {city}\"\n if \"quebec\" not in strip_accents(q.lower()) and \"qc\" not in q.lower():\n q += \", Québec\"\n return q + \", Canada\"","new_string":" def _build_query(self, address: str, city: str,\n province: str = \"QC\") -> str:\n q = self._clean(address)\n key = strip_accents(q.lower())\n if city and strip_accents(city.lower()) not in key:\n q += f\", {city}\"\n if (province or \"QC\").upper() == \"ON\":\n # « ON » en majuscules seulement : « on » minuscule est un mot français\n if \"ontario\" not in strip_accents(q.lower()) \\\n and not re.search(r\"\\bON\\b\", q):\n q += \", Ontario\"\n elif \"quebec\" not in strip_accents(q.lower()) and \"qc\" not in q.lower():\n q += \", Québec\"\n return q + \", Canada\"","replace_all":false}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -o -h -E \"[\\\"'][a-z0-9_/-]*(propert|listing|suite|search|cities|city)[a-z0-9_/-]*[\\\"']\" /tmp/hs_*.js | sort -u | head -60","description":"Find resource path strings in JS"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a20bb9384d0bf5425","tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","description":"Running Search bundles for API paths","usage":{"total_tokens":55800,"tool_uses":13,"duration_ms":60163},"last_tool_name":"Bash","uuid":"d21d6237-f69d-4cca-8d05-3f3b0fd269a5","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Searching for province","usage":{"total_tokens":40524,"tool_uses":4,"duration_ms":13221},"last_tool_name":"Grep","uuid":"01a94546-c77d-43a9-babf-30b7cdca3955","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} 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{"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a10d9f8eef97b34a7","tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","description":"Reading louka/connectors/morguard.py","usage":{"total_tokens":23838,"tool_uses":2,"duration_ms":4365},"last_tool_name":"Read","uuid":"2ee77ebd-603c-4fe2-b719-3b9b6e7281dd","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"adccc26b6ceb2a40c","tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","description":"Running Grep pages for client id and liftsystem references","usage":{"total_tokens":52638,"tool_uses":9,"duration_ms":116893},"last_tool_name":"Bash","uuid":"4ab40354-885d-4993-9d00-1696f3837f33","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5d0ce925312d52fd","tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","description":"Reading louka/connectors/base.py","usage":{"total_tokens":40529,"tool_uses":5,"duration_ms":13351},"last_tool_name":"Read","uuid":"e403f87d-f4b8-4f54-931a-7a524f044685","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a20bb9384d0bf5425","tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","description":"Running Show context around /properties in bundle","usage":{"total_tokens":56691,"tool_uses":15,"duration_ms":68823},"last_tool_name":"Bash","uuid":"b8906259-e692-4ff9-8893-f2f9f9c52313","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a10d9f8eef97b34a7","tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","description":"Reading louka/connectors/base.py","usage":{"total_tokens":40618,"tool_uses":4,"duration_ms":10089},"last_tool_name":"Read","uuid":"fce05167-544d-4c96-b3c4-4676823e79c9","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a20bb9384d0bf5425","tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","description":"Running Find where /properties endpoint is used","usage":{"total_tokens":56144,"tool_uses":14,"duration_ms":64390},"last_tool_name":"Bash","uuid":"ce1308ca-b9e8-42a2-90f0-555f9baaeb3f","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5ff85c85f59f280b","tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","description":"Running Find resource path strings in JS","usage":{"total_tokens":50277,"tool_uses":15,"duration_ms":84052},"last_tool_name":"Bash","uuid":"62dec873-19ad-45cf-884c-7d574564f568","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVExWca87xHTmLKG5M","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UjE9XbbEnCuX9GjNSNHh1f","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":"def norm_key(address: str) -> str:\n \"\"\"Clé de cache : adresse normalisée (casse, accents, espaces, n° d'app.).\"\"\"\n s = strip_accents((address or \"\").lower())\n s = re.sub(r\"\\b(?:app?t?|appartement|unite|suite|#)\\.?\\s*[\\w-]+\\b\", \" \", s)\n s = re.sub(r\"[^a-z0-9]+\", \" \", s)\n return re.sub(r\"\\s+\", \" \", s).strip()","new_string":"def norm_key(address: str) -> str:\n \"\"\"Clé de cache : adresse normalisée (casse, accents, espaces, n° d'app.).\"\"\"\n s = strip_accents((address or \"\").lower())\n s = re.sub(r\"\\b(?:app?t?|appartement|unite|suite|#)\\.?\\s*[\\w-]+\\b\", \" \", s)\n s = re.sub(r\"[^a-z0-9]+\", \" \", s)\n return re.sub(r\"\\s+\", \" \", s).strip()\n\n\ndef cache_key(address: str, province: str = \"QC\") -> str:\n \"\"\"Clé geocode_cache province-aware : préfixe « on| » pour l'Ontario\n (évite toute collision d'adresses homonymes entre provinces) ; les clés\n québécoises restent identiques — le cache existant est préservé.\"\"\"\n k = norm_key(address)\n if k and (province or \"QC\").upper() == \"ON\":\n return \"on|\" + k\n return k"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1078,"cache_read_input_tokens":66555,"cache_creation":{"ephemeral_5m_input_tokens":1078,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"a0e457d2-33aa-4136-bc04-484b2226b5c8"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a10d9f8eef97b34a7","tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","description":"Searching for province","usage":{"total_tokens":40623,"tool_uses":5,"duration_ms":10882},"last_tool_name":"Grep","uuid":"c22cf82c-36cb-4987-b130-2c782cdf3f28","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ae7b89cfd3c4e0a68","tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","description":"Editing louka/geocode.py","usage":{"total_tokens":68495,"tool_uses":13,"duration_ms":151028},"last_tool_name":"Edit","uuid":"eaf73be3-72fa-453b-8481-8c73517002fd","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UjE9XbbEnCuX9GjNSNHh1f","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py has been updated successfully."}]},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"897a4351-6d43-40ba-be3e-fb9565de74b9","timestamp":"2026-08-27T03:55:07.363Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaW1d6r43HFzVhqtzuH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FbPUAeRHdo3nNmxJcv5pZt","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py","old_string":" def _build_query(self, address: str, city: str) -> str:\n q = self._clean(address)\n key = strip_accents(q.lower())\n if city and strip_accents(city.lower()) not in key:\n q += f\", {city}\"\n if \"quebec\" not in strip_accents(q.lower()) and \"qc\" not in q.lower():\n q += \", Québec\"\n return q + \", Canada\"","new_string":" def _build_query(self, address: str, city: str,\n province: str = \"QC\") -> str:\n q = self._clean(address)\n key = strip_accents(q.lower())\n if city and strip_accents(city.lower()) not in key:\n q += f\", {city}\"\n if (province or \"QC\").upper() == \"ON\":\n # « ON » en majuscules seulement : « on » minuscule est un mot français\n if \"ontario\" not in strip_accents(q.lower()) \\\n and not re.search(r\"\\bON\\b\", q):\n q += \", Ontario\"\n elif \"quebec\" not in strip_accents(q.lower()) and \"qc\" not in q.lower():\n q += \", Québec\"\n return q + \", Canada\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":685,"cache_read_input_tokens":67633,"cache_creation":{"ephemeral_5m_input_tokens":685,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"392006a7-cc98-4e86-8ddb-5d76e480dd46"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVSvb2Jj691ciFYVBw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SRgQzKGzGTEHu7vN9b1uEL","name":"Bash","input":{"command":"cd /tmp/lift-probe && for f in scpl.com yorkproperty.ca rentsarnia.com sterlingkaramar.com panoramicproperties.ca drewloholdings.com urbandale.com; do echo \"=== $f ===\"; grep -o '.\\{0,50\\}client.id.\\{0,60\\}' \"$f.page\" | head -3; grep -o 'theliftsystem[^\"]*' \"$f.page\" | head -2; done","description":"Grep pages for client id and liftsystem references"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1788,"cache_read_input_tokens":49496,"cache_creation":{"ephemeral_5m_input_tokens":1788,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"dff4cb14-02d1-45b1-967e-e71e635520e6"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FbPUAeRHdo3nNmxJcv5pZt","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/geocode.py has been updated successfully."}]},"parent_tool_use_id":"toolu_018hdHdifmmzgjrLC1yZaYuB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"0a24e03b-6fc7-4825-b853-31457487deb4","timestamp":"2026-08-27T03:55:14.167Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SRgQzKGzGTEHu7vN9b1uEL","type":"tool_result","content":"=== scpl.com ===\n=== yorkproperty.ca ===\n=== rentsarnia.com ===\n=== sterlingkaramar.com ===\n=== panoramicproperties.ca ===\n=== drewloholdings.com ===\n=== urbandale.com ===\ntyle.overflow=\"scroll\",t==(n=l.offsetWidth)&&(n=e.clientWidth),document.body.removeChild(e),jQuery(\"html\").hasClass(\"aw","is_error":false}]},"parent_tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"996ed523-9346-47d5-a632-afbb42f109b0","timestamp":"2026-08-27T03:55:11.509Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVh3QFB6mCwaKCDRgo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J8giGBiKJRzVtGCEqe7amF","name":"Bash","input":{"command":"grep -o -h -E \"[\\\"'][a-z0-9_/-]*(propert|listing|suite|search|cities|city)[a-z0-9_/-]*[\\\"']\" /tmp/hs_*.js | sort -u | head -60","description":"Find resource path strings in JS"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":293,"cache_read_input_tokens":49774,"cache_creation":{"ephemeral_5m_input_tokens":293,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"492ea564-0eff-4679-adde-4cb769ef39fa"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVdFT7hxupGzfsJeVy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EDKH6qH27ux2EDLw4dhHJu","name":"Bash","input":{"command":"cd /tmp/rcprobe && echo \"=== OLDOAK ===\"; grep -oiE '(rentcafe|securecafe|admin-ajax|api\\.[a-z]+|wp-json)[^\"'\"'\"' ]{0,100}' oldoak_com_apartment-rentals_.html | sort -u | head -15; echo; echo \"=== TRICAR london ===\"; grep -oiE '(rentcafe|securecafe|admin-ajax|wp-json)[^\"'\"'\"' ]{0,100}' www_tricar_com_rent-an-apartment_london-apartments_.html | sort -u | head -15","description":"Grep API hints in Old Oak and Tricar pages"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":400,"cache_read_input_tokens":64001,"cache_creation":{"ephemeral_5m_input_tokens":400,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"05b2146e-9c9c-4d8f-9de2-cbf22e3d54e1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EDKH6qH27ux2EDLw4dhHJu","type":"tool_result","content":"=== OLDOAK ===\napi.js?render=explicit&ver=4.2.2\napi.w.org/\nsecurecafe.com/residentservices/apartmentsforrent/userlogin.aspx\nwp-json/\nwp-json/oembed/1.0/embed?url=https%3A%2F%2Foldoak.com%2Fapartment-rentals%2F\nwp-json/oembed/1.0/embed?url=https%3A%2F%2Foldoak.com%2Fapartment-rentals%2F&format=xml\nwp-json/wp/v2/pages/27\nwp-json\\/jet-engine\\/v2\\/get-map-marker-info\\/","restNonce":"eeab07f534","lis\n\n=== TRICAR london ===\nadmin-ajax.php\nsecurecafe.com/residentservices/apartmentsforrent/userlogin.aspx\nwp-json/\nwp-json/oembed/1.0/embed?url=https%3A%2F%2Fwww.tricar.com%2Frent-an-apartment%2Flondon-apartments%2F\nwp-json/oembed/1.0/embed?url=https%3A%2F%2Fwww.tricar.com%2Frent-an-apartment%2Flondon-apartments%2F&f\nwp-json/wp/v2/pages/31","is_error":false}]},"parent_tool_use_id":"toolu_01NR1uxNbe75pCxjrmqSGV7Z","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"42a805c1-24a6-4ebc-916c-d666cf2d08fd","timestamp":"2026-08-27T03:55:07.396Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n\"/properties\"\n(eval):1: == not found","is_error":true,"tool_use_id":"toolu_015Fq6Ye45bs1wMinCgRKjpR"}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b85a1241-0047-4fbe-b7fa-af0600d746ec","timestamp":"2026-08-27T03:55:05.476Z","tool_use_result":"Error: Exit code 1\n\"/properties\"\n(eval):1: == not found"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J8giGBiKJRzVtGCEqe7amF","type":"tool_result","content":"\"-cities/details\"\n\"/cities\"\n\"/cities-offered\"\n\"/properties\"\n\"cities\"\n\"cities-offered\"\n\"cities/details\"\n\"cities/property-summary\"\n\"cities_offered\"\n\"city\"\n\"city_pages\"\n\"data-search-pseudo-elements\"\n\"executive_suites\"\n\"fa-swap-opacity\"\n\"fill-opacity\"\n\"fopacity\"\n\"furnished_suites\"\n\"menu-mobile__parent-city\"\n\"nearby-properties\"\n\"opacity\"\n\"properties\"\n\"properties/unit-summary\"\n\"property\"\n\"rs-schema-property\"\n\"search\"\n\"search-icon\"\n\"search-large\"\n\"search-navbar\"\n\"short_term_suites\"\n\"single-property\"\n\"suiteview\"\n\"swap-opacity\"\n\"uk3-search-icon\"","is_error":false}]},"parent_tool_use_id":"toolu_01DpUCLBpjFCmiA83RQ5L6bz","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ea472fcf-4ced-453d-acf6-e0559b545e14","timestamp":"2026-08-27T03:55:15.215Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cz947msoFtigr7PrH1KF8Y","type":"tool_result","content":"\"/properties\"\n\"/properties\"\nsk_js_app.19e92a76.10d254076cf2f1e4ea8d.js\nsk_js_app.711e1ffa.a1ffb5876518322a69b2.js\nsk_js_app.af83ce4e.854778e0701cec123a23.js\n\"-child\":\n\"-list\",\n\"-list\":\n\"/apartments/\")\n\"/privacy\",\n\"0230\",\n\"0334\",\n\"0558\")\n\"06f6\",\n\"06f6\":\n\"07b0\",\n\"07b0\":\n\"0829\",\n\"09cf\",\n\"0b9a\",\n\"0bd8\")\n\"0c24\")\n\"0c24\":\n\"0dd2\")\n\"0dd2\":\n\"0f0d\",\n\"0f46\")\n\"0f46\":\n\"107b\",\n\"10c9\")\n\"11c1\")\n\"11c1\":\n\"12d0\",\n\"14cb\",\n\"14cb\":\n\"159b\")\n\"159b\":\n\"1722\",\n\"1760\")\n\"17be\")\n\"190e\")\n\"190e\":\n\"1a3e\",\n\"1a3e\":\n\"1b25\",","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ad44b93a-d695-4735-b4ba-31bad689891c","timestamp":"2026-08-27T03:55:09.716Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVQL55xh9TDzvwznps","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015Fq6Ye45bs1wMinCgRKjpR","name":"Bash","input":{"command":"cd /tmp && grep -ohE '\"/[a-z0-9/_-]{2,60}\"' sk_js_*.js | sort -u | grep -iE 'api|search|propert|listing|suite' | head -30; echo ===; grep -ohE \"['\\\"][a-z0-9/_.-]*api[a-z0-9/_.-]*['\\\"]\" sk_js_*.js | sort -u | head -30","description":"Search bundles for API paths"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1407,"cache_read_input_tokens":54259,"cache_creation":{"ephemeral_5m_input_tokens":1407,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"f235d423-dc27-4099-81ec-b409fb7f813e"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVsSENxXg7skaAnXZ4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cz947msoFtigr7PrH1KF8Y","name":"Bash","input":{"command":"cd /tmp && grep -oh '\"/properties\"' sk_js_*.js | head -2; grep -l '\"/properties\"' sk_js_*.js; grep -ohE '\"[/a-z0-9_-]{2,40}\"\\s*[,:)]' sk_js_app.06837ae4*.js | sort -u | head -40","description":"Find where /properties endpoint is used"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":327,"cache_read_input_tokens":55666,"cache_creation":{"ephemeral_5m_input_tokens":327,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6cfb5a79-42d0-42fc-b9eb-60ddad9937f9"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ToCxuSGv61TWhgYfLH1oRt","type":"tool_result","content":"e(0,-1)}const s={custom:{where:\"propertyId:\"+e.propertyId,params:i}};return yield this.getResponse(yield t.find.call(this,s))}))}}const j=new m;var O=i(\"38eb\");class w extends n.a{constructor(){super(\"/properties\")}getResponse(e,t){return Object(s.a)(this,void 0,void 0,(function*(){const i={data:[],meta:this.metaObj},s=[];return t&&(t.includes(\"geoLocation\")&&s.push(this.includeGeoLocation(e)),(t.includes(\"uni","is_error":false}]},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"fb16aa9a-2817-4c95-9858-f509eb97a0e5","timestamp":"2026-08-27T03:55:14.303Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EoD2XJUF4SZXoTnPjrXqfd","type":"tool_result","content":"src=\"https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js\"\nsrc=\"https://cdn.cookielaw.org/scripttemplates/otSDKStub.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/admin/admin-area.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/corpsearch.134316884640000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/corpsearch.dropdowns.134316884640000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/corpsearch.search.134316884640000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/corpsearch.utils.134316884640000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/corpsearch.utils.map.134316884640000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/gmap.134316884650000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/markerclusterer.134316884650000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/Map/psrk.base.134316884660000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/adwords_gadid.134316884660000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/incompatible-browser.134316884690000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/intltelinput.134316884690000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/inttelphoneinput.134316884700000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/overlayscrollbars.134316884710000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/siteeditor-preview.134316884720000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/clicktrack-widget.134316884730000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/contactmodal-widget.134316884730000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/contactus.134316884740000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/corpsearchfilters-widget.134316884740000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/corpsearchresults-widget.134316884740000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/floating-label-dropdown-range.134316884750000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/floating-label-dropdown.134316884750000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/focus-scroll-visible.134316884750000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/form-contact-session.134316884750000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/go-to-top.134316884750000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/leadattributionanddnicorp.134316884760000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/login-links-dropdown.134316884760000000.js\"\nsrc=\"https://cdngeneralmvc.rentcafe.com/common/js/widgets/menu.134316884760000000.js\"","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ccbdacd8-8e93-40e9-aa77-ff591b911df2","timestamp":"2026-08-27T03:55:08.873Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVNp3MHV4LeM4eHdkm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TwUK1k56TGBtzGg925sRH7","name":"Grep","input":{"pattern":"province","path":"/Users/simon-pierreboucher/apps/lou-ka/louka/schema.py","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16503,"cache_read_input_tokens":23976,"cache_creation":{"ephemeral_5m_input_tokens":16503,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"4c670114-7a10-4ac8-9603-36b679e736f9"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaWBwxuhVh1iuRYRE45","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ToCxuSGv61TWhgYfLH1oRt","name":"Bash","input":{"command":"cd /tmp && grep -oE '.{200}\"/properties\".{200}' sk_js_app.19e92a76.10d254076cf2f1e4ea8d.js | head -3","description":"Show context around /properties in bundle"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":527,"cache_read_input_tokens":55993,"cache_creation":{"ephemeral_5m_input_tokens":527,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01EnHQgPv8iE8tMsmeYx6PzK","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"c2394358-97ef-4e6b-bf85-7f228e2d1e1d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVgNURUrUnvYtXTUS9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EoD2XJUF4SZXoTnPjrXqfd","name":"Bash","input":{"command":"grep -o 'drupalSettings' /tmp/killam-apts.html | head -1; grep -oE '\"path\":\\{\"baseUrl[^}]*\\}' /tmp/killam-apts.html | head -c 300; echo; grep -oE 'src=\"[^\"]*\\.js[^\"]*\"' /tmp/killam-apts.html | sort -u | head -30","description":"Check for Drupal settings and JS bundles"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":634,"cache_read_input_tokens":41948,"cache_creation":{"ephemeral_5m_input_tokens":634,"ephemeral_1h_input_tokens":0},"output_tokens":10,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"90049e46-5c1e-462e-874c-151d58a7ee4c"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVNp3MHV4LeM4eHdkm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0134skdEFSMakMCnB5EYZqwk","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/base.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16503,"cache_read_input_tokens":23976,"cache_creation":{"ephemeral_5m_input_tokens":16503,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"d2150995-4bfa-4178-8c25-425e3b55f6f8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0134skdEFSMakMCnB5EYZqwk","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"}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"8d28b7db-ecd1-4d7b-a00d-1b45568ff0e1","timestamp":"2026-08-27T03:55:05.946Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TwUK1k56TGBtzGg925sRH7","type":"tool_result","content":"1-# -----------------------------------------------------------------------------\n2:# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3-# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4-# schema.py : modèle de données standardisé (Listing) + enrichissement central\n5-# -----------------------------------------------------------------------------\n--\n53- address: str = \"\" # adresse civique\n54- sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n55- city: str = \"\" # Québec, Lévis, ...\n56: province: str = \"QC\" # \"QC\" | \"ON\" (expansion Ontario 2026-08)\n57- unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n58- bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n59- bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n--\n110- # Kazakhstan. QC : 44.5–63°N / -80–-56°E ; ON (expansion 2026-08) :\n111- # 41.6°N (Windsor/Pelée) à 56.9°N, -95.2°E (Kenora) à -74.3°E.\n112- if self.lat is not None and self.lng is not None:\n113: prov = (self.province or \"QC\").upper()\n114- if prov == \"ON\":\n115- ok = 41.6 <= self.lat <= 56.9 and -95.3 <= self.lng <= -74.3\n116- else:"}]},"parent_tool_use_id":"toolu_01CFK6yAfZvPUoUgEw2mgCSR","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"79de3273-1703-4674-8ba0-dec0dc2e30fc","timestamp":"2026-08-27T03:55:05.832Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XseXKpEB9Y1Nmxd3SLK9LT","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/interrent.py : connecteur InterRent REIT (irent.com)\n5\t# Site Next.js (app router) : la page « communities/city/montreal » embarque\n6\t# dans son flux RSC (self.__next_f.push) le JSON complet des communautés\n7\t# (adresse, quartier, photos, commodités Amenities/Utilities, animaux\n8\t# PetFriendly*, stationnement, contact, description via référence $NN)\n9\t# avec leurs suites disponibles (type, chambres, sdb, pi², loyer, date).\n10\t# Une seule requête suffit.\n11\t# REIT pancanadien : filtre strict sur les villes du Grand Montréal.\n12\t# -----------------------------------------------------------------------------\n13\tfrom __future__ import annotations\n14\t\n15\timport html as htmllib\n16\timport json\n17\timport re\n18\t\n19\tfrom ..schema import Listing, strip_accents\n20\tfrom .base import BaseConnector\n21\t\n22\tBASE = \"https://www.irent.com\"\n23\tCITY_URL = f\"{BASE}/communities/city/montreal\"\n24\t\n25\tCHUNK_RE = re.compile(r'self\\.__next_f\\.push\\(\\[1,\"((?:[^\"\\\\]|\\\\.)*)\"\\]\\)')\n26\tOBJ_START_RE = re.compile(r'\\{\"Id\":\\d+,\"ImportId\"')\n27\t\n28\t# Villes admissibles (Grand Montréal), clés sans accents/minuscules\n29\t_GM_CITIES = {\n30\t \"montreal\": \"Montréal\",\n31\t \"cote-saint-luc\": \"Côte-Saint-Luc\",\n32\t \"cote saint-luc\": \"Côte-Saint-Luc\",\n33\t \"brossard\": \"Brossard\",\n34\t \"laval\": \"Laval\",\n35\t \"longueuil\": \"Longueuil\",\n36\t \"verdun\": \"Montréal\",\n37\t \"lasalle\": \"Montréal\",\n38\t \"pointe-claire\": \"Pointe-Claire\",\n39\t \"dollard-des-ormeaux\": \"Dollard-des-Ormeaux\",\n40\t}\n41\t\n42\t_BED_TYPES = {0: \"Studio\", 1: \"3½\", 2: \"4½\", 3: \"5½\", 4: \"6½\"}\n43\t\n44\t\n45\tdef _unescape_js(s: str) -> str:\n46\t \"\"\"Déséchappe une chaîne JS du flux RSC (\\\\\" \\\\n \\\\uXXXX...).\"\"\"\n47\t try:\n48\t return json.loads(f'\"{s}\"')\n49\t except ValueError:\n50\t try:\n51\t return (s.encode(\"latin-1\", \"backslashreplace\")\n52\t .decode(\"unicode_escape\"))\n53\t except Exception:\n54\t return s\n55\t\n56\t\n57\tdef _clean(s: str) -> str:\n58\t \"\"\"Déséchappe les entités HTML répétées (&amp;...).\"\"\"\n59\t s = s or \"\"\n60\t for _ in range(4):\n61\t t = htmllib.unescape(s)\n62\t if t == s:\n63\t break\n64\t s = t\n65\t return s.strip()\n66\t\n67\t\n68\tdef _as_list(node) -> list:\n69\t \"\"\"Les nœuds XML->JSON du flux : dict simple ou liste.\"\"\"\n70\t if isinstance(node, list):\n71\t return node\n72\t if isinstance(node, dict):\n73\t return [node]\n74\t return []\n75\t\n76\t\n77\tdef _strip_html(s: str) -> str:\n78\t \"\"\"HTML -> texte plat (entités déjà gérées par _clean).\"\"\"\n79\t return _clean(re.sub(r\"<[^>]+>\", \" \", s or \"\"))\n80\t\n81\t\n82\t# Références texte du flux RSC : « \\nNN:Txxx, » suivi de xxx (hex) caractères.\n83\t_TEXT_REF_RE = re.compile(r\"\\n(\\d+):T([0-9a-f]+),\")\n84\t\n85\t\n86\tdef _text_refs(blob: str) -> dict[str, str]:\n87\t \"\"\"Table des chaînes référencées « $NN » (descriptions d'immeubles…).\"\"\"\n88\t refs: dict[str, str] = {}\n89\t for m in _TEXT_REF_RE.finditer(blob):\n90\t n = int(m.group(2), 16)\n91\t refs[m.group(1)] = blob[m.end():m.end() + n]\n92\t return refs\n93\t\n94\t\n95\t# Utilities (services inclus au bail) -> clés canoniques d'inclusions\n96\tdef _utility_key(u: str) -> str | None:\n97\t s = u.lower()\n98\t if \"hot water\" in s:\n99\t return \"hot_water\"\n100\t if \"heat\" in s:\n101\t return \"heating\"\n102\t if \"hydro\" in s or \"electric\" in s:\n103\t return \"electricity\"\n104\t if \"internet\" in s:\n105\t return \"internet\"\n106\t if \"cable\" in s:\n107\t return \"cable\"\n108\t return None # « Water » (eau froide) : pas de clé canonique\n109\t\n110\t\n111\tclass InterrentConnector(BaseConnector):\n112\t source_id = \"interrent\"\n113\t request_delay = 0.6\n114\t max_images = 20\n115\t\n116\t def fetch(self) -> list[Listing]:\n117\t page = self.get(CITY_URL).text\n118\t blob = \"\".join(_unescape_js(c) for c in CHUNK_RE.findall(page))\n119\t\n120\t # Objets communauté : {\"Id\":N,\"ImportId\":...,\"PermaLink\":...}\n121\t communities: dict[int, dict] = {}\n122\t pos = 0\n123\t while True:\n124\t m = OBJ_START_RE.search(blob, pos)\n125\t if not m:\n126\t break\n127\t obj, end = self._read_object(blob, m.start())\n128\t pos = end if end > m.start() else m.start() + 1\n129\t if not obj or \"PermaLink\" not in obj or \"Location\" not in obj:\n130\t continue\n131\t cid = obj.get(\"Id\")\n132\t if isinstance(cid, int) and cid not in communities:\n133\t communities[cid] = obj\n134\t\n135\t refs = _text_refs(blob)\n136\t listings: list[Listing] = []\n137\t for c in communities.values():\n138\t try:\n139\t listings.extend(self._community_listings(c, refs))\n140\t except Exception:\n141\t continue\n142\t return listings\n143\t\n144\t @staticmethod\n145\t def _read_object(blob: str, start: int) -> tuple[dict | None, int]:\n146\t \"\"\"Extrait un objet JSON par appariement d'accolades.\"\"\"\n147\t depth = 0\n148\t in_str = False\n149\t esc = False\n150\t for i in range(start, min(len(blob), start + 400_000)):\n151\t ch = blob[i]\n152\t if in_str:\n153\t if esc:\n154\t esc = False\n155\t elif ch == \"\\\\\":\n156\t esc = True\n157\t elif ch == '\"':\n158\t in_str = False\n159\t continue\n160\t if ch == '\"':\n161\t in_str = True\n162\t elif ch == \"{\":\n163\t depth += 1\n164\t elif ch == \"}\":\n165\t depth -= 1\n166\t if depth == 0:\n167\t try:\n168\t return json.loads(blob[start:i + 1]), i + 1\n169\t except ValueError:\n170\t return None, i + 1\n171\t return None, start + 1\n172\t\n173\t def _community_listings(self, c: dict,\n174\t refs: dict[str, str] | None = None) -> list[Listing]:\n175\t refs = refs or {}\n176\t loc = c.get(\"Location\") or {}\n177\t if (loc.get(\"ProvinceCode\") or \"\").upper() != \"QC\":\n178\t return []\n179\t raw_city = _clean(loc.get(\"City\") or \"\")\n180\t key = strip_accents(raw_city.lower()).strip()\n181\t city = _GM_CITIES.get(key)\n182\t if not city:\n183\t return [] # hors Grand Montréal\n184\t sector = _clean(loc.get(\"Neighbourhood\") or c.get(\"TagLine\") or \"\")\n185\t if strip_accents(sector.lower()) == strip_accents(city.lower()):\n186\t sector = \"\" if city != \"Montréal\" else sector\n187\t if key in (\"cote-saint-luc\", \"verdun\", \"lasalle\") and not sector:\n188\t sector = raw_city if city == \"Montréal\" else \"\"\n189\t\n190\t name = _clean(c.get(\"Name\") or \"\")\n191\t url = c.get(\"Url\") or f\"{BASE}/communities/{c.get('PermaLink', '')}\"\n192\t address = _clean(loc.get(\"Address\") or \"\")\n193\t postal = _clean(loc.get(\"PostalCode\") or \"\")\n194\t\n195\t # Photos de la communauté\n196\t images: list[str] = []\n197\t photos = (c.get(\"Photos\") or {})\n198\t for p in _as_list(photos.get(\"Photo\") if isinstance(photos, dict)\n199\t else photos):\n200\t u = (p or {}).get(\"Url\") or \"\"\n201\t if u.startswith(\"http\") and u not in images:\n202\t images.append(u)\n203\t images = images[: self.max_images]\n204\t\n205\t # Commodités : nœud Amenities.Amenity (liste) + services inclus\n206\t am_node = (c.get(\"Amenities\") or {})\n207\t amenities = [_clean(str(a)) for a in\n208\t _as_list(am_node.get(\"Amenity\") if isinstance(am_node, dict)\n209\t else am_node) if a]\n210\t if not amenities: # ancien champ, gardé en repli\n211\t amenities = [a.strip() for a in\n212\t (c.get(\"amenities_TextField\") or \"\").split(\",\")\n213\t if a.strip()]\n214\t ut_node = (c.get(\"Utilities\") or {})\n215\t utilities = [_clean(str(u)) for u in\n216\t _as_list(ut_node.get(\"Utility\") if isinstance(ut_node, dict)\n217\t else ut_node) if u]\n218\t if utilities:\n219\t amenities.append(\"Utilities included: \" + \", \".join(utilities))\n220\t amenities = amenities[:25]\n221\t\n222\t # Détails structurés communs à la communauté\n223\t details: dict = {}\n224\t inclusions = {}\n225\t for u in utilities:\n226\t k = _utility_key(u)\n227\t if k:\n228\t inclusions[k] = True\n229\t if inclusions:\n230\t details[\"inclusions\"] = inclusions\n231\t\n232\t # Animaux : indicateurs PetFriendly* (structurés à la source)\n233\t pets = None\n234\t if c.get(\"PetFriendlyNotAllowed\"):\n235\t pets = \"non\"\n236\t elif c.get(\"PetFriendly\"):\n237\t sub = [c.get(\"PetFriendlyCats\"), c.get(\"PetFriendlySmallDogs\"),\n238\t c.get(\"PetFriendlyLargeDogs\")]\n239\t pets = \"conditions\" if any(sub) and not all(sub) else \"oui\"\n240\t\n241\t # Contact du bureau de location\n242\t ci = c.get(\"ContactInformation\") or {}\n243\t contact = {}\n244\t if ci.get(\"Phone\"):\n245\t contact[\"phone\"] = _clean(ci[\"Phone\"])\n246\t if ci.get(\"Email\"):\n247\t contact[\"email\"] = _clean(ci[\"Email\"])\n248\t if contact:\n249\t details[\"contact\"] = contact\n250\t\n251\t # Stationnement : champ ParkingDetails (« Indoor Parking: $150 / month »)\n252\t parking_txt = _strip_html(c.get(\"ParkingDetails\") or \"\")\n253\t if parking_txt:\n254\t if re.search(r\"no parking|not available\", parking_txt, re.I):\n255\t details[\"parking\"] = {\"available\": False}\n256\t else:\n257\t parking: dict = {\"available\": True}\n258\t indoor = re.search(r\"indoor|interior|underground\",\n259\t parking_txt, re.I)\n260\t outdoor = re.search(r\"outdoor|exterior|surface\",\n261\t parking_txt, re.I)\n262\t if indoor and not outdoor:\n263\t parking[\"type\"] = \"intérieur\"\n264\t elif outdoor and not indoor:\n265\t parking[\"type\"] = \"extérieur\"\n266\t prices = [float(p) for p in\n267\t re.findall(r\"\\$\\s*(\\d{2,4})\", parking_txt)]\n268\t if re.search(r\"included|free\", parking_txt, re.I):\n269\t parking[\"included\"] = True\n270\t elif prices:\n271\t parking[\"included\"] = False\n272\t parking[\"price\"] = min(prices)\n273\t details[\"parking\"] = parking\n274\t\n275\t # Description de l'immeuble (référence $NN du flux RSC) + promo + animaux\n276\t desc_ref = str(c.get(\"BuildingDescription\") or \"\")\n277\t building_desc = \"\"\n278\t if desc_ref.startswith(\"$\"):\n279\t building_desc = _strip_html(refs.get(desc_ref[1:], \"\"))\n280\t elif desc_ref:\n281\t building_desc = _strip_html(desc_ref)\n282\t promo = (c.get(\"Promotions\") or {})\n283\t promo_title = _clean(promo.get(\"Title\") or \"\") \\\n284\t if isinstance(promo, dict) else \"\"\n285\t pet_details = _strip_html(c.get(\"PetDetails\") or \"\")\n286\t extra_desc = \" — \".join(x for x in [\n287\t f\"Promotion : {promo_title}\" if promo_title else \"\",\n288\t building_desc,\n289\t f\"Stationnement : {parking_txt}\" if parking_txt else \"\",\n290\t f\"Animaux : {pet_details}\" if pet_details else \"\"] if x)\n291\t\n292\t suites = (c.get(\"Suites\") or {})\n293\t out: list[Listing] = []\n294\t for s in _as_list(suites.get(\"Suite\") if isinstance(suites, dict)\n295\t else suites):\n296\t try:\n297\t if (s.get(\"Available\") or \"\").lower() != \"yes\":\n298\t continue\n299\t type_name = _clean(s.get(\"TypeName\") or \"\")\n300\t # pseudo-unités « Promotional Price » sans numéro : ignorées\n301\t if \"promotional\" in type_name.lower() and not s.get(\"Number\"):\n302\t continue\n303\t rate = s.get(\"Rate\")\n304\t price = float(rate) if isinstance(rate, (int, float)) \\\n305\t and rate else None\n306\t beds = s.get(\"Bedrooms\")\n307\t unit_type = _BED_TYPES.get(beds, \"\") \\\n308\t if isinstance(beds, int) else \"\"\n309\t sqft = s.get(\"SquareFeet\")\n310\t baths = s.get(\"Bathrooms\")\n311\t bits = []\n312\t if sqft:\n313\t bits.append(f\"{sqft} pi²\")\n314\t if baths:\n315\t bits.append(f\"{baths} sdb\")\n316\t if type_name:\n317\t bits.append(f\"plan {type_name}\")\n318\t suite_desc = _strip_html(s.get(\"Description\") or \"\")\n319\t if suite_desc:\n320\t bits.append(suite_desc)\n321\t if extra_desc:\n322\t bits.append(extra_desc)\n323\t\n324\t # plan d'étage en tête de galerie s'il existe\n325\t imgs = list(images)\n326\t fps = (s.get(\"Floorplans\") or {})\n327\t for fp in _as_list(fps.get(\"Floorplan\")\n328\t if isinstance(fps, dict) else fps):\n329\t fu = (fp or {}).get(\"Image\") or \"\"\n330\t if fu.startswith(\"http\") and fu not in imgs:\n331\t imgs.insert(0, fu)\n332\t\n333\t num = s.get(\"Number\") or \"\"\n334\t label = f\"{name} — {type_name}\" if type_name else name\n335\t if num:\n336\t label += f\" (app. {num})\"\n337\t out.append(Listing(\n338\t source=self.source_id,\n339\t external_id=str(s.get(\"Id\")),\n340\t url=url,\n341\t title=label,\n342\t address=\", \".join(x for x in [address, city, postal]\n343\t if x),\n344\t sector=sector,\n345\t city=city,\n346\t unit_type=unit_type,\n347\t price=price,\n348\t price_label=f\"{int(rate)} $/mois\" if price else \"\",\n349\t area_sqft=float(sqft) if isinstance(sqft, (int, float))\n350\t and 80 <= sqft <= 20000 else None,\n351\t availability=_clean(s.get(\"AvailabilityDate\") or \"\"),\n352\t pets=pets,\n353\t description=\" — \".join(bits)[:900],\n354\t amenities=list(amenities),\n355\t details=dict(details),\n356\t images=imgs[: self.max_images + 1],\n357\t lat=loc.get(\"Latitude\"),\n358\t lng=loc.get(\"Longitude\"),\n359\t ))\n360\t except Exception:\n361\t continue\n362\t return out\n363\t"}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"f4ea7c2f-e4a6-4a4e-9235-1c2fdb6a0b86","timestamp":"2026-08-27T03:55:07.510Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVkif8foJmYc92wrGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XseXKpEB9Y1Nmxd3SLK9LT","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/interrent.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12101,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12101,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"f729d342-635b-47e2-a817-4879f9193d89"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVkif8foJmYc92wrGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NeRVXyeU4yatb6KCJygr67","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/morguard.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12101,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12101,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"9f19e402-7ff0-46e4-8a1d-16927706df3b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NeRVXyeU4yatb6KCJygr67","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/morguard.py : connecteur Morguard (morguardliving.ca)\n5\t# REIT pancanadien (~126 immeubles) sur plateforme Rentsync : le site est une\n6\t# SPA mais son backend officiel (website-gateway.rentsync.com, sans auth) est\n7\t# interrogé directement — /properties pour les immeubles, /units pour les\n8\t# unités disponibles, /photos pour les galeries. Seul le Québec est conservé\n9\t# (code postal H/J/G) : 15 immeubles — centre-ville de Montréal (Maisonneuve,\n10\t# Crescent, Mackay, des Pins…), Dollard-des-Ormeaux, Côte-Saint-Luc et\n11\t# Pointe-Claire. Une annonce par unité disponible (available == 1).\n12\t# -----------------------------------------------------------------------------\n13\tfrom __future__ import annotations\n14\t\n15\timport html as htmllib\n16\timport re\n17\t\n18\tfrom ..schema import Listing\n19\tfrom .base import BaseConnector\n20\t\n21\tSITE = \"https://www.morguardliving.ca\"\n22\tAPI = \"https://website-gateway.rentsync.com/v1/morguard_invest\"\n23\tIMG_BASE = \"https://s3.amazonaws.com/lws_lift/morguard_invest/images/gallery/1152\"\n24\t\n25\t# cityId Rentsync -> ville (le gateway n'expose pas les noms de villes)\n26\t_CITIES = {\n27\t 1863: \"Montréal\",\n28\t 765: \"Dollard-des-Ormeaux\",\n29\t 33093: \"Côte-Saint-Luc\",\n30\t 2213: \"Pointe-Claire\",\n31\t}\n32\t\n33\t# Nombre de chambres -> type d'unité (convention QC : n½ = n-2 chambres)\n34\t_BED_TYPE = {0: \"Studio\", 1: \"3½\", 2: \"4½\", 3: \"5½\", 4: \"6½\"}\n35\t\n36\t_TAG_RE = re.compile(r\"<[^>]+>\")\n37\t_DATE_RE = re.compile(r\"^(\\d{4}-\\d{2}-\\d{2})\")\n38\t\n39\t\n40\tdef _clean(txt: str) -> str:\n41\t txt = htmllib.unescape(htmllib.unescape(txt or \"\"))\n42\t txt = _TAG_RE.sub(\" \", txt)\n43\t return re.sub(r\"\\s+\", \" \", txt).strip()\n44\t\n45\t\n46\tclass MorguardConnector(BaseConnector):\n47\t source_id = \"morguard\"\n48\t request_delay = 0.6\n49\t max_units = 300 # garde-fou (84 unités QC dispo à l'écriture)\n50\t\n51\t def fetch(self) -> list[Listing]:\n52\t props = (self.get(f\"{API}/properties\", params={\"limit\": \"300\"})\n53\t .json().get(\"data\") or [])\n54\t # Québec seulement : codes postaux H (Mtl), J (couronnes), G (est)\n55\t buildings: dict[int, dict] = {}\n56\t for p in props:\n57\t postal = (p.get(\"postal\") or \"\").strip().upper()\n58\t if postal[:1] not in (\"H\", \"J\", \"G\"):\n59\t continue\n60\t if (p.get(\"status\") or \"\") != \"enabled\":\n61\t continue\n62\t buildings[int(p[\"id\"])] = p\n63\t if not buildings:\n64\t return []\n65\t\n66\t ids = \"|\".join(str(i) for i in sorted(buildings))\n67\t units = (self.get(f\"{API}/units\", params={\n68\t \"where\": f\"buildingId~in:{ids},status~in:enabled\",\n69\t \"limit\": \"500\",\n70\t }).json().get(\"data\") or [])\n71\t\n72\t listings: list[Listing] = []\n73\t photo_cache: dict[int, list[str]] = {}\n74\t count = 0\n75\t for u in units:\n76\t try:\n77\t if int(u.get(\"available\") or 0) != 1:\n78\t continue\n79\t b = buildings.get(int(u.get(\"buildingId\") or 0))\n80\t if b is None:\n81\t continue\n82\t if count >= self.max_units:\n83\t break\n84\t count += 1\n85\t listings.append(self._unit_listing(u, b, photo_cache))\n86\t except Exception:\n87\t continue\n88\t return listings\n89\t\n90\t # -- galerie photos de l'immeuble (endpoint /photos, mise en cache BD) -----\n91\t def _building_photos(self, bid: int, cache: dict[int, list[str]],\n92\t key: str) -> list[str]:\n93\t if bid in cache:\n94\t return cache[bid]\n95\t\n96\t def _fetch() -> dict:\n97\t data = (self.get(f\"{API}/photos\", params={\n98\t \"relations\": \"buildingsHasPhotos:bhp\",\n99\t \"where\": f\"bhp.buildingId~in:{bid}\",\n100\t \"limit\": \"40\",\n101\t }).json().get(\"data\") or [])\n102\t imgs = [f\"{IMG_BASE}/{ph['image']}\" for ph in data\n103\t if ph.get(\"image\") and ph.get(\"active\")]\n104\t return {\"images\": imgs[:25]}\n105\t\n106\t payload = self.detail(f\"photos-{bid}\", key, _fetch)\n107\t cache[bid] = payload.get(\"images\") or []\n108\t return cache[bid]\n109\t\n110\t # -- annonce par unité disponible -------------------------------------------\n111\t def _unit_listing(self, u: dict, b: dict,\n112\t photo_cache: dict[int, list[str]]) -> Listing:\n113\t bid = int(b[\"id\"])\n114\t name = _clean(b.get(\"buildingName\") or \"\")\n115\t street = _clean(f\"{b.get('streetNumber') or ''} \"\n116\t f\"{b.get('streetName') or ''}\")\n117\t city = _CITIES.get(int(b.get(\"cityId\") or 0), \"Montréal\")\n118\t postal = (b.get(\"postal\") or \"\").strip().upper()\n119\t address = f\"{street}, {city}, QC {postal}\".strip(\" ,\")\n120\t sector = _clean(b.get(\"neighbourhood\") or \"\")\n121\t\n122\t try:\n123\t lat, lng = float(b[\"latitude\"]), float(b[\"longitude\"])\n124\t except (TypeError, KeyError, ValueError):\n125\t lat = lng = None\n126\t\n127\t type_name = _clean(u.get(\"typeName\") or \"\")\n128\t bed = u.get(\"bed\")\n129\t unit_type = _BED_TYPE.get(int(bed), \"\") if bed is not None else \"\"\n130\t\n131\t rate = u.get(\"rateMin\") or u.get(\"rate\")\n132\t try:\n133\t price = float(rate) if rate else None\n134\t except (TypeError, ValueError):\n135\t price = None\n136\t if price is not None and not (100 <= price <= 20000):\n137\t price = None\n138\t\n139\t try:\n140\t bath = float(u.get(\"bath\")) if u.get(\"bath\") is not None else None\n141\t except (TypeError, ValueError):\n142\t bath = None\n143\t try:\n144\t sqft = float(u.get(\"sqFtMin\") or u.get(\"sqFt\") or 0) or None\n145\t except (TypeError, ValueError):\n146\t sqft = None\n147\t\n148\t # date de disponibilité ISO (ex. \"2026-09-01T00:00:00.000Z\")\n149\t avail_date = None\n150\t m = _DATE_RE.match(str(u.get(\"availabilityDate\") or \"\"))\n151\t if m:\n152\t avail_date = m.group(1)\n153\t\n154\t desc = _clean(u.get(\"description\") or \"\")\n155\t overview = _clean(b.get(\"buildingOverview\") or \"\")\n156\t description = (f\"{desc} {overview}\".strip())[:600]\n157\t\n158\t furnished = True if int(u.get(\"furnished\") or 0) == 1 else None\n159\t pets = None\n160\t if b.get(\"petFriendly\") is not None:\n161\t pets = \"oui\" if int(b.get(\"petFriendly\") or 0) == 1 else \"non\"\n162\t\n163\t details: dict = {}\n164\t contact = {}\n165\t if _clean(b.get(\"phone\") or \"\"):\n166\t contact[\"phone\"] = _clean(b[\"phone\"])\n167\t if _clean(b.get(\"email\") or \"\"):\n168\t contact[\"email\"] = _clean(b[\"email\"])\n169\t if contact:\n170\t details[\"contact\"] = contact\n171\t parking = _clean(b.get(\"parking\") or \"\")\n172\t if parking:\n173\t details[\"parking\"] = {\"available\": True, \"notes\": parking[:120]}\n174\t\n175\t # galerie : revisitée seulement quand l'immeuble est modifié\n176\t images = self._building_photos(\n177\t bid, photo_cache, key=str(b.get(\"modified\") or \"\"))\n178\t\n179\t perma = (b.get(\"permaLink\") or \"\").strip(\"/\")\n180\t url = f\"{SITE}/residential/{perma}\" if perma else SITE\n181\t\n182\t return Listing(\n183\t source=self.source_id,\n184\t external_id=str(u[\"id\"]),\n185\t url=url,\n186\t title=f\"{name} — {type_name}\" if type_name else name,\n187\t address=address,\n188\t sector=sector,\n189\t city=city,\n190\t unit_type=unit_type,\n191\t bedrooms=float(bed) if bed is not None else None,\n192\t bathrooms=bath,\n193\t price=price,\n194\t price_label=f\"À partir de {int(price)} $/mois\" if price else \"\",\n195\t availability_date=avail_date,\n196\t area_sqft=sqft,\n197\t pets=pets,\n198\t furnished=furnished,\n199\t description=description,\n200\t details=details,\n201\t images=images,\n202\t lat=lat,\n203\t lng=lng,\n204\t )\n205\t"}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"588eff8d-ac74-4a50-9b65-ef5cf9edf8d6","timestamp":"2026-08-27T03:55:08.259Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X64x8idKBRnhbbi9zynvmh","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/akelius.py : connecteur Akelius Residential (rent.akelius.com)\n5\t# Page de recherche Canada rendue côté serveur (Angular SSR) : l'état\n6\t# TransferState (',\n30\t re.S)\n31\t\n32\t# Villes admissibles (Grand Montréal) -> (ville normalisée, secteur imposé)\n33\t_GM_CITIES = {\n34\t \"montreal\": (\"Montréal\", None), # secteur = borough du flux\n35\t \"westmount\": (\"Westmount\", \"Westmount\"),\n36\t \"mont-royal\": (\"Mont-Royal\", \"Mont-Royal\"),\n37\t \"saint-lambert\": (\"Saint-Lambert\", \"Saint-Lambert\"),\n38\t \"greenfield park\": (\"Longueuil\", \"Greenfield Park\"),\n39\t}\n40\t\n41\t_BED_TYPES = {0: \"Studio\", 1: \"3½\", 2: \"4½\", 3: \"5½\", 4: \"6½\"}\n42\t\n43\t# keyfacts booléens du JSON détail -> libellé de commodité (si vrai)\n44\t_KF_AMENITIES = {\n45\t \"has-air-conditioning\": \"Climatisation\",\n46\t \"has-central-air-conditioning\": \"Climatisation centrale\",\n47\t \"has-balcony\": \"Balcon\",\n48\t \"has-terrace\": \"Terrasse\",\n49\t \"has-bicycle-racks\": \"Supports à vélos\",\n50\t \"has-blinds\": \"Stores\",\n51\t \"has-bosch-built-in-appliances\": \"Électroménagers encastrés Bosch\",\n52\t \"has-canada-post-parcel-locker\": \"Casier à colis Postes Canada\",\n53\t \"has-central-vacuuming-system\": \"Aspirateur central\",\n54\t \"has-concierge\": \"Concierge\",\n55\t \"has-dishwasher\": \"Lave-vaisselle\",\n56\t \"has-dryer\": \"Sécheuse\",\n57\t \"has-washing-machine\": \"Laveuse\",\n58\t \"has-washer-dryer\": \"Laveuse-sécheuse\",\n59\t \"has-elevator\": \"Ascenseur\",\n60\t \"has-fitness-centre\": \"Salle d'entraînement\",\n61\t \"has-heated-bathroom-floor\": \"Plancher de salle de bain chauffant\",\n62\t \"has-indoor-pool\": \"Piscine intérieure\",\n63\t \"has-outdoor-pool\": \"Piscine extérieure\",\n64\t \"has-laundry-room\": \"Buanderie\",\n65\t \"has-microwave\": \"Micro-ondes\",\n66\t \"has-openplan-kitchen\": \"Cuisine à aire ouverte\",\n67\t \"has-sauna\": \"Sauna\",\n68\t \"has-wine-fridge\": \"Cellier à vin\",\n69\t \"is-broadband-included-in-rent\": \"Internet inclus\",\n70\t \"is-electricity-included-in-rent\": \"Électricité incluse\",\n71\t \"is-gas-included-in-rent\": \"Gaz inclus\",\n72\t \"is-heating-included-in-rent\": \"Chauffage inclus\",\n73\t \"is-hot-water-included-in-rent\": \"Eau chaude incluse\",\n74\t \"is-water-included-in-rent\": \"Eau incluse\",\n75\t \"is-refurbished\": \"Rénové\",\n76\t \"is-smart-home\": \"Logement intelligent\",\n77\t}\n78\t\n79\t\n80\tclass _DetailBudget(Exception):\n81\t \"\"\"Budget de nouvelles pages détail épuisé pour cette synchronisation.\"\"\"\n82\t\n83\t\n84\tclass AkeliusConnector(BaseConnector):\n85\t source_id = \"akelius\"\n86\t request_delay = 0.6\n87\t max_units = 400 # garde-fou\n88\t max_details = 150 # nouveaux JSON détail max par synchronisation\n89\t\n90\t def fetch(self) -> list[Listing]:\n91\t html = self.get(SEARCH_URL).text\n92\t m = STATE_RE.search(html)\n93\t if not m:\n94\t return []\n95\t # TransferState Angular : les guillemets sont encodés « &q; »\n96\t state = json.loads(m.group(1).replace(\"&q;\", '\"'))\n97\t\n98\t # La clé du cache API est un hash variable : on repère la liste d'unités\n99\t units: list[dict] = []\n100\t for val in state.values():\n101\t body = val.get(\"b\") if isinstance(val, dict) else None\n102\t if (isinstance(body, list) and body\n103\t and isinstance(body[0], dict) and \"keyfacts\" in body[0]):\n104\t units = body\n105\t break\n106\t\n107\t self._detail_fetches = 0\n108\t listings: list[Listing] = []\n109\t for u in units[: self.max_units]:\n110\t try:\n111\t lst = self._unit_listing(u)\n112\t if lst:\n113\t self._enrich(lst, u)\n114\t listings.append(lst)\n115\t except Exception:\n116\t continue\n117\t return listings\n118\t\n119\t # -- JSON détail (keyfacts complets) ---------------------------------------\n120\t def _fetch_detail(self, uid: str) -> dict:\n121\t try:\n122\t resp = self.get(DETAIL_URL.format(uid=uid))\n123\t data = json.loads(resp.content.decode(\"utf-8-sig\"))\n124\t except Exception:\n125\t return {}\n126\t if not isinstance(data, dict):\n127\t return {}\n128\t docs = data.get(\"documents\") or []\n129\t images = [d.get(\"mediumUrl\") or d.get(\"originalImageUrl\")\n130\t for d in docs if isinstance(d, dict) and not d.get(\"isExample\")]\n131\t return {\n132\t \"keyfacts\": data.get(\"keyfacts\") or {},\n133\t \"contact\": data.get(\"contactDetails\") or {},\n134\t \"images\": [i for i in images if isinstance(i, str)][:30],\n135\t }\n136\t\n137\t def _enrich(self, lst: Listing, u: dict) -> None:\n138\t \"\"\"Complète l'annonce avec le JSON détail (via cache self.detail).\"\"\"\n139\t key = hashlib.sha1(json.dumps(\n140\t {\"rent\": (u.get(\"keyfacts\") or {}).get(\"total-rent\"),\n141\t \"avail\": (u.get(\"keyfacts\") or {}).get(\"available-from-date\"),\n142\t \"pub\": u.get(\"lastPublishedDate\")},\n143\t sort_keys=True).encode(\"utf-8\")).hexdigest()\n144\t\n145\t def fetch_fn():\n146\t if self._detail_fetches >= self.max_details:\n147\t raise _DetailBudget()\n148\t self._detail_fetches += 1\n149\t return self._fetch_detail(lst.external_id)\n150\t\n151\t try:\n152\t payload = self.detail(lst.external_id, key, fetch_fn)\n153\t except _DetailBudget:\n154\t return\n155\t kf = payload.get(\"keyfacts\") or {}\n156\t if not kf:\n157\t return\n158\t\n159\t # commodités (libellés français, seulement les keyfacts vrais)\n160\t for k, label in _KF_AMENITIES.items():\n161\t if kf.get(k) and label not in lst.amenities:\n162\t lst.amenities.append(label)\n163\t\n164\t # animaux / meublé (valeurs structurées de la source)\n165\t pets = str(kf.get(\"pets-allowed\") or \"\").strip().lower()\n166\t if pets == \"yes\":\n167\t lst.pets = \"oui\"\n168\t elif pets == \"no\":\n169\t lst.pets = \"non\"\n170\t elif pets:\n171\t lst.pets = \"conditions\"\n172\t furn = str(kf.get(\"furnished-state\") or \"\").strip().lower()\n173\t if furn == \"furnished\":\n174\t lst.furnished = True\n175\t elif furn == \"unfurnished\":\n176\t lst.furnished = False\n177\t\n178\t # details structurés (booléens explicites du JSON — jamais devinés)\n179\t details: dict = {}\n180\t inclusions = {}\n181\t for src, dst in ((\"is-heating-included-in-rent\", \"heating\"),\n182\t (\"is-electricity-included-in-rent\", \"electricity\"),\n183\t (\"is-hot-water-included-in-rent\", \"hot_water\"),\n184\t (\"is-broadband-included-in-rent\", \"internet\")):\n185\t if isinstance(kf.get(src), bool):\n186\t inclusions[dst] = kf[src]\n187\t if inclusions:\n188\t details[\"inclusions\"] = inclusions\n189\t appliances = {}\n190\t if isinstance(kf.get(\"has-dishwasher\"), bool):\n191\t appliances[\"dishwasher\"] = kf[\"has-dishwasher\"]\n192\t if isinstance(kf.get(\"has-washer-dryer\"), bool):\n193\t wd = kf[\"has-washer-dryer\"] or (\n194\t bool(kf.get(\"has-washing-machine\")) and bool(kf.get(\"has-dryer\")))\n195\t appliances[\"washer_dryer\"] = wd\n196\t if appliances:\n197\t details[\"appliances\"] = appliances\n198\t if isinstance(kf.get(\"has-air-conditioning\"), bool):\n199\t details[\"ac\"] = (kf[\"has-air-conditioning\"]\n200\t or bool(kf.get(\"has-central-air-conditioning\")))\n201\t if isinstance(kf.get(\"has-elevator\"), bool):\n202\t details[\"elevator\"] = kf[\"has-elevator\"]\n203\t if isinstance(kf.get(\"has-balcony\"), bool):\n204\t details[\"balcony\"] = kf[\"has-balcony\"] or bool(kf.get(\"has-terrace\"))\n205\t if isinstance(kf.get(\"has-indoor-pool\"), bool) or \\\n206\t isinstance(kf.get(\"has-outdoor-pool\"), bool):\n207\t details[\"pool\"] = bool(kf.get(\"has-indoor-pool\")) or \\\n208\t bool(kf.get(\"has-outdoor-pool\"))\n209\t if isinstance(kf.get(\"has-fitness-centre\"), bool):\n210\t details[\"gym\"] = kf[\"has-fitness-centre\"]\n211\t if isinstance(kf.get(\"has-laundry-room\"), bool):\n212\t details[\"laundry\"] = kf[\"has-laundry-room\"]\n213\t year = kf.get(\"construction-year\")\n214\t if isinstance(year, int):\n215\t details[\"construction_year\"] = year\n216\t phone = ((payload.get(\"contact\") or {}).get(\"phoneNumber\") or \"\").strip()\n217\t if phone:\n218\t details[\"contact\"] = {\"phone\": phone}\n219\t if details:\n220\t lst.details = details\n221\t\n222\t # description libre éventuelle (keyfact « free-text »)\n223\t free = str(kf.get(\"free-text\") or \"\").strip()\n224\t if free:\n225\t lst.description = (lst.description + \" — \" + free)[:600] \\\n226\t if lst.description else free[:600]\n227\t\n228\t # photos pleine résolution du détail (600 px au lieu de 400 px)\n229\t if payload.get(\"images\"):\n230\t lst.images = payload[\"images\"][:30]\n231\t\n232\t def _unit_listing(self, u: dict) -> Listing | None:\n233\t addr = u.get(\"address\") or {}\n234\t kf = u.get(\"keyfacts\") or {}\n235\t if (addr.get(\"province\") or \"\").upper() != \"QC\":\n236\t return None\n237\t city_key = strip_accents((addr.get(\"city\") or \"\").strip().lower())\n238\t if city_key not in _GM_CITIES:\n239\t return None\n240\t city, forced_sector = _GM_CITIES[city_key]\n241\t sector = forced_sector or (addr.get(\"borough\") or \"\").strip()\n242\t\n243\t uid = str(u.get(\"id\") or \"\").strip()\n244\t if not uid:\n245\t return None\n246\t street = (addr.get(\"streetName\") or \"\").strip()\n247\t postal = (addr.get(\"postalCode\") or \"\").strip()\n248\t\n249\t beds = kf.get(\"number-of-bedrooms\")\n250\t unit_type = _BED_TYPES.get(beds, \"\") if isinstance(beds, int) else \"\"\n251\t apt_type = (kf.get(\"apartment-type\") or \"\").strip()\n252\t if not unit_type and apt_type == \"loft\":\n253\t unit_type = \"Loft\"\n254\t\n255\t rent = kf.get(\"total-rent\")\n256\t price = float(rent) if isinstance(rent, (int, float)) and rent else None\n257\t\n258\t if kf.get(\"is-available-from-now-on\"):\n259\t availability = \"Libre maintenant\"\n260\t else:\n261\t availability = (kf.get(\"available-from-date\") or \"\")[:10]\n262\t if availability:\n263\t availability = f\"Disponible le {availability}\"\n264\t\n265\t size = kf.get(\"unit-size\")\n266\t baths = kf.get(\"number-of-bathrooms\")\n267\t floor = kf.get(\"floor\")\n268\t desc_bits = []\n269\t if apt_type:\n270\t desc_bits.append(f\"Type : {apt_type}\")\n271\t if size:\n272\t desc_bits.append(f\"{size} pi²\")\n273\t if baths:\n274\t desc_bits.append(f\"{baths} salle(s) de bain\")\n275\t if floor is not None:\n276\t desc_bits.append(f\"étage {floor}\")\n277\t if kf.get(\"free-rent\"):\n278\t desc_bits.append(f\"promotion : {kf['free-rent']}\")\n279\t\n280\t amenities = []\n281\t if size:\n282\t amenities.append(f\"{size} pi²\")\n283\t if baths:\n284\t amenities.append(f\"{baths} sdb\")\n285\t\n286\t images = [i for i in (u.get(\"imageUrls\") or [])\n287\t if isinstance(i, str) and i.startswith(\"http\")][:30]\n288\t\n289\t title = f\"{street} — unité {uid.split('-')[-1]}\" if street else uid\n290\t return Listing(\n291\t source=self.source_id,\n292\t external_id=uid,\n293\t url=f\"{BASE}/en/search/canada/detail/{uid}\",\n294\t title=title,\n295\t address=\", \".join(x for x in [street, city, postal] if x),\n296\t sector=sector,\n297\t city=city,\n298\t unit_type=unit_type,\n299\t price=price,\n300\t price_label=f\"{int(rent)} $/mois\" if price else \"\",\n301\t availability=availability,\n302\t description=\" — \".join(desc_bits)[:600],\n303\t amenities=amenities,\n304\t images=images,\n305\t lat=addr.get(\"latitude\"),\n306\t lng=addr.get(\"longitude\"),\n307\t )\n308\t"}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b5a5a30c-3378-4dcd-908e-155c8ad27f53","timestamp":"2026-08-27T03:55:09.326Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KbgWyczHGrJgYP3jY8X2De","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"}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"5911c01b-5135-441a-ac55-96656135994c","timestamp":"2026-08-27T03:55:13.985Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaWA6qQEYjaeSSgs5Z7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WhHEdqH8bCDiA2aNPJk1Fj","name":"Grep","input":{"pattern":"province","path":"/Users/simon-pierreboucher/apps/lou-ka/louka/schema.py","output_mode":"content","-C":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16760,"cache_read_input_tokens":23821,"cache_creation":{"ephemeral_5m_input_tokens":16760,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"1f36fd53-fc72-495f-bd89-b8f3ce9f8c3c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WhHEdqH8bCDiA2aNPJk1Fj","type":"tool_result","content":"1-# -----------------------------------------------------------------------------\n2:# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3-# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4-# schema.py : modèle de données standardisé (Listing) + enrichissement central\n5-# -----------------------------------------------------------------------------\n--\n53- address: str = \"\" # adresse civique\n54- sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n55- city: str = \"\" # Québec, Lévis, ...\n56: province: str = \"QC\" # \"QC\" | \"ON\" (expansion Ontario 2026-08)\n57- unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n58- bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n59- bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n--\n110- # Kazakhstan. QC : 44.5–63°N / -80–-56°E ; ON (expansion 2026-08) :\n111- # 41.6°N (Windsor/Pelée) à 56.9°N, -95.2°E (Kenora) à -74.3°E.\n112- if self.lat is not None and self.lng is not None:\n113: prov = (self.province or \"QC\").upper()\n114- if prov == \"ON\":\n115- ok = 41.6 <= self.lat <= 56.9 and -95.3 <= self.lng <= -74.3\n116- else:"}]},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"1eb387ba-567b-4d7e-a097-5143f90c01b2","timestamp":"2026-08-27T03:55:14.794Z"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaVkif8foJmYc92wrGP","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X64x8idKBRnhbbi9zynvmh","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/akelius.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":12101,"cache_read_input_tokens":11720,"cache_creation":{"ephemeral_5m_input_tokens":12101,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"616a4a36-4cd5-43fa-a8bf-4edbe77e4690"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaWA6qQEYjaeSSgs5Z7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KbgWyczHGrJgYP3jY8X2De","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/base.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16760,"cache_read_input_tokens":23821,"cache_creation":{"ephemeral_5m_input_tokens":16760,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_011C3EtN9qh1geqktSaK5E2g","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"36fd44ac-ed9f-41a7-89ce-f6ad912d0d3a"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaDc5ocWWRHCk8m2Fek","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CWYMQSTzrbydWC36vPJPWB","name":"Agent","input":{"description":"Élargir metcap/realstar/cogir/centurion","subagent_type":"general-purpose","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 4 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 4 fichiers : louka/connectors/metcap.py, louka/connectors/realstar.py, louka/connectors/cogir.py, louka/connectors/centurion.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 4 cibles :\n1. **metcap.py** (metcap.com, ~25 000 gérées ; ON : Toronto, GTA, Barrie) : site WordPress avec recherche par ville — élargis aux villes ON sous _ONTARIO.\n2. **realstar.py** (realstar.ca, ~24 000 ; ON : 7 régions — Toronto, GTA, Ottawa, Hamilton, KW, London, Cobourg…) : SPA custom derrière Cloudflare — élargis sous _ONTARIO ; anti-bot → self.get_resilient()/self.scrapfly() (SCRAPFLY_KEY dans .env).\n3. **cogir.py** (cogir.net, 23 000+ surtout QC ; ON : Toronto) : élargis à Toronto sous _ONTARIO (parc ON modeste — si le site ne liste rien en ON, documente et n'invente rien).\n4. **centurion.py** (cpliving.com, ~20 000 ; ON : Toronto, GTA, Ottawa, KW, Huntsville) : connecteur Rentsync/LiftSystem (API api.theliftsystem.com/v2/search, client_id 21, city_ids 2310+1039, garde-fou _QC_CITIES + province_code==\"QC\") — sous _ONTARIO : interroge sans restriction city_ids (ou avec les city_ids ON découverts) et accepte province_code==\"ON\" ; hors gate, garde-fou QC intact. Le paramètre city_ids peut être omis ou élargi — vérifie ce que l'API retourne avec seulement client_id+token (limite 1000). Augmente max_properties sous _ONTARIO au besoin.\n\nMÉTHODE par connecteur : (a) lire le fichier en entier ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → nb listings ; (c) modifier ; (d) re-tester sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps).\n\nStyle : commentaires en français, en-tête documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste (anti-bot, pas de parc ON réel), documente et passe au suivant."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":349,"cache_read_input_tokens":102869,"cache_creation":{"ephemeral_5m_input_tokens":349,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"b72462c7-86d5-4ace-af8f-bf92c45b260f"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a97ea63fda2f61ea8","tool_use_id":"toolu_01CWYMQSTzrbydWC36vPJPWB","description":"Élargir metcap/realstar/cogir/centurion","task_type":"local_agent","prompt":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 4 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 4 fichiers : louka/connectors/metcap.py, louka/connectors/realstar.py, louka/connectors/cogir.py, louka/connectors/centurion.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 4 cibles :\n1. **metcap.py** (metcap.com, ~25 000 gérées ; ON : Toronto, GTA, Barrie) : site WordPress avec recherche par ville — élargis aux villes ON sous _ONTARIO.\n2. **realstar.py** (realstar.ca, ~24 000 ; ON : 7 régions — Toronto, GTA, Ottawa, Hamilton, KW, London, Cobourg…) : SPA custom derrière Cloudflare — élargis sous _ONTARIO ; anti-bot → self.get_resilient()/self.scrapfly() (SCRAPFLY_KEY dans .env).\n3. **cogir.py** (cogir.net, 23 000+ surtout QC ; ON : Toronto) : élargis à Toronto sous _ONTARIO (parc ON modeste — si le site ne liste rien en ON, documente et n'invente rien).\n4. **centurion.py** (cpliving.com, ~20 000 ; ON : Toronto, GTA, Ottawa, KW, Huntsville) : connecteur Rentsync/LiftSystem (API api.theliftsystem.com/v2/search, client_id 21, city_ids 2310+1039, garde-fou _QC_CITIES + province_code==\"QC\") — sous _ONTARIO : interroge sans restriction city_ids (ou avec les city_ids ON découverts) et accepte province_code==\"ON\" ; hors gate, garde-fou QC intact. Le paramètre city_ids peut être omis ou élargi — vérifie ce que l'API retourne avec seulement client_id+token (limite 1000). Augmente max_properties sous _ONTARIO au besoin.\n\nMÉTHODE par connecteur : (a) lire le fichier en entier ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → nb listings ; (c) modifier ; (d) re-tester sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps).\n\nStyle : commentaires en français, en-tête documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste (anti-bot, pas de parc ON réel), documente et passe au suivant.","uuid":"e8987e3b-195c-40b0-97e5-fb6447b324ef","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Tu travailles sur Lou-Ka (~/apps/lou-ka), agrégateur de logements à louer (Québec, EN PROD : pm2 lou-ka-sync exécute ces connecteurs à chaque synchro — NON-RÉGRESSION QC critique). Expansion Ontario en préparation. Ta mission : **élargir 4 connecteurs nationaux existants à l'Ontario**, gatés par env. Tu es propriétaire EXCLUSIF de ces 4 fichiers : louka/connectors/metcap.py, louka/connectors/realstar.py, louka/connectors/cogir.py, louka/connectors/centurion.py. NE TOUCHE À RIEN D'AUTRE (d'autres agents travaillent en parallèle). Aucun commit git.\n\nCONTEXTE : louka/schema.py a maintenant un champ `province: str = \"QC\"` sur Listing — mets `province=\"ON\"` sur les listings ontariens, adresse suffixée « ON ». Gate commun : en tête de chaque module `_ONTARIO = os.environ.get(\"LOUKA_ONTARIO\") == \"1\"` ; sans la variable, comportement STRICTEMENT identique à aujourd'hui.\n\nLes 4 cibles :\n1. **metcap.py** (metcap.com, ~25 000 gérées ; ON : Toronto, GTA, Barrie) : site WordPress avec recherche par ville — élargis aux villes ON sous _ONTARIO.\n2. **realstar.py** (realstar.ca, ~24 000 ; ON : 7 régions — Toronto, GTA, Ottawa, Hamilton, KW, London, Cobourg…) : SPA custom derrière Cloudflare — élargis sous _ONTARIO ; anti-bot → self.get_resilient()/self.scrapfly() (SCRAPFLY_KEY dans .env).\n3. **cogir.py** (cogir.net, 23 000+ surtout QC ; ON : Toronto) : élargis à Toronto sous _ONTARIO (parc ON modeste — si le site ne liste rien en ON, documente et n'invente rien).\n4. **centurion.py** (cpliving.com, ~20 000 ; ON : Toronto, GTA, Ottawa, KW, Huntsville) : connecteur Rentsync/LiftSystem (API api.theliftsystem.com/v2/search, client_id 21, city_ids 2310+1039, garde-fou _QC_CITIES + province_code==\"QC\") — sous _ONTARIO : interroge sans restriction city_ids (ou avec les city_ids ON découverts) et accepte province_code==\"ON\" ; hors gate, garde-fou QC intact. Le paramètre city_ids peut être omis ou élargi — vérifie ce que l'API retourne avec seulement client_id+token (limite 1000). Augmente max_properties sous _ONTARIO au besoin.\n\nMÉTHODE par connecteur : (a) lire le fichier en entier ; (b) référence AVANT : fetch() sans LOUKA_ONTARIO → nb listings ; (c) modifier ; (d) re-tester sans env → mêmes résultats ; (e) LOUKA_ONTARIO=1 → compte ON vs QC + 2 exemples ON (title, address, city, province, price). Cape les pages détail pendant les tests. Après CHAQUE édition : `cd ~/apps/lou-ka && .venv/bin/python -c \"import louka.connectors\"` (paquet importable en tout temps).\n\nStyle : commentaires en français, en-tête documentant « Expansion Ontario 2026-08 — gaté LOUKA_ONTARIO ».\n\nRAPPORT (par connecteur) : mécanique ON, chiffres avant/après QC (identiques ?), nb ON, gotchas. Si un connecteur résiste (anti-bot, pas de parc ON réel), documente et passe au suivant."}]},"parent_tool_use_id":"toolu_01CWYMQSTzrbydWC36vPJPWB","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"6a54d3cd-1ed8-4d70-af0b-a881b0c06c9e","timestamp":"2026-08-27T03:55:16.602Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a8836bfc8e0969745","tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","description":"Running Search embedded JSON variables in Killam page","usage":{"total_tokens":44354,"tool_uses":11,"duration_ms":58389},"last_tool_name":"Bash","uuid":"f749420b-6efa-4ef0-aaa6-7e661e0fa9f1","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaW84oVqtcKV5KvzaKM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YYx63i3U1GY1JxsG23u66a","name":"Bash","input":{"command":"grep -oE 'var [A-Za-z_]+ *= *\\[?\\{' /tmp/killam-apts.html | sort -u | head; echo ---; grep -oE '(searchlisting|sitesearch|marketingapi|propertylisting)[^\"'\\'' ]*' /tmp/killam-apts.html | sort -u | head; echo ---; grep -oiE '\"(propertyid|propertyname)\"' /tmp/killam-apts.html | sort | uniq -c","description":"Search embedded JSON variables in Killam page"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1654,"cache_read_input_tokens":42582,"cache_creation":{"ephemeral_5m_input_tokens":1654,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"fc6d7f4a-0b4e-441c-9853-d4ba8e4ed927"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"grep -oE 'var [A-Za-z_]+ *= *\\[?\\{' /tmp/killam-apts.html | sort -u | head; echo ---; grep -oE '(searchlisting|sitesearch|marketingapi|propertylisting)[^\"'\\'' ]*' /tmp/killam-apts.html | sort -u | head; echo ---; grep -oiE '\"(propertyid|propertyname)\"' /tmp/killam-apts.html | sort | uniq -c","description":"Search embedded JSON variables in Killam page"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"adccc26b6ceb2a40c","tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","description":"Running Inspect page titles and search-data divs","usage":{"total_tokens":53316,"tool_uses":10,"duration_ms":123418},"last_tool_name":"Bash","uuid":"3947963a-a834-4cca-8dec-77751e9a5387","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeSaWKQBchorc3MTFg6bo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0122cgvoE48hH5XkQXFuPNy3","name":"Bash","input":{"command":"cd /tmp/lift-probe && for f in scpl.com yorkproperty.ca rentsarnia.com sterlingkaramar.com panoramicproperties.ca drewloholdings.com urbandale.com; do echo \"=== $f ===\"; grep -o ' [^<]*' \"$f.page\" | head -1; grep -o 'search-data[^>]\\{0,120\\}' \"$f.page\" | head -2; grep -o 'data-client[^ ]*' \"$f.page\" | head -2; done","description":"Inspect page titles and search-data divs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":672,"cache_read_input_tokens":51284,"cache_creation":{"ephemeral_5m_input_tokens":672,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":"toolu_01H6E1B4gTftQfpYHz4d5JB3","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"ac6909a0-d4b2-47da-9dcf-c6f85543e4a3"}} {"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"cd /tmp/lift-probe && for f in scpl.com yorkproperty.ca rentsarnia.com sterlingkaramar.com panoramicproperties.ca drewloholdings.com urbandale.com; do echo \"=== $f ===\"; grep -o ' [^<]*' \"$f.page\" | head -1; grep -o 'search-data[^>]\\{0,120\\}' \"$f.page\" | head -2; grep -o 'data-client[^ ]*' \"$f.page\" | head -2; done","description":"Inspect page titles and search-data divs"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YYx63i3U1GY1JxsG23u66a","type":"tool_result","content":"---\nsearchlisting\n---\n 1 \"propertyName\"","is_error":false}]},"parent_tool_use_id":"toolu_017f56Bst4zaAPVt4K4iCGxE","session_id":"259ee367-8069-48e6-bc04-ae4e62168c23","uuid":"5da4957f-5372-4b3a-b5c2-b245598169d6","timestamp":"2026-08-27T03:55:17.193Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0122cgvoE48hH5XkQXFuPNy3","type":"tool_result","content":"=== scpl.com ===\n