{"type":"user_prompt","text":"J’aimerais que tu fasse un majeur upgrade en ajoute des connecteur à Louka , location court terme tu que effectué enrichissent des connecteur existant ça doit être un immense travail du côté court terme avec aussi amélioration. Du rendu des fiche","ts":1787671001941} {"type":"status","state":"running"} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePgrk9D3oN9jbk8pC4pC","type":"message","role":"assistant","content":[{"type":"text","text":"Gros chantier — je commence par relire ma mémoire du projet et cartographier le repo (connecteurs existants, pipeline qualité, rendu des fiches) avant de proposer un plan."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33777,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33777,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cc1dcbcc-df49-4781-9671-7b551a6e61b0"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePgrk9D3oN9jbk8pC4pC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HSNGLdwxEpWVjxXWzy8pnm","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/feedback_pertinence.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33777,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33777,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"52e394d4-ab84-4468-8901-ce677ee75de4"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HSNGLdwxEpWVjxXWzy8pnm","type":"tool_result","content":"This memory is 3 days old. Memories are point-in-time observations, not live state — claims about code behavior or file:line citations may be outdated. Verify against current code before asserting as fact.\n1\t---\n2\tname: Pertinence des annonces Lou-Ka\n3\tdescription: L'utilisateur exige que Lou-Ka n'affiche QUE des logements à louer au mois — pas de stationnements (~200 $), garages, locaux commerciaux, objets, tarifs à la nuit\n4\ttype: feedback\n5\toriginSessionId: 048b2f77-93a9-4c47-9af0-6898fcb24dcd\n6\t---\n7\tLou-Ka ne doit afficher que des logements à louer au mois. Les annonces hors sujet (stationnements ~200 $, garages/entreposage, locaux commerciaux/bureaux, objets divers, tarifs à la nuit) doivent être mises en quarantaine, pas affichées.\n8\t\n9\t**Why:** demande explicite du 2026-08-21 — les stationnements à ~200 $ polluaient les résultats ; « fait un effort pour que ça soit toute pertinent les annonces ».\n10\t\n11\t**How to apply:** la porte centrale est `relevance_reason()` dans `louka/quality.py` (quarantaine `published=0`, raisons « hors sujet : … »). Si de nouvelles annonces non pertinentes apparaissent (nouvelle source, nouveau motif), étendre cette fonction plutôt que filtrer côté frontend ou connecteur par connecteur. Toujours faire un essai à blanc sur la base avant backfill (les titres « avec stationnement inclus » et les immeubles mixtes sont des faux positifs classiques). Même exigence de pertinence probable sur les autres sites Ka.\n12\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"30a4d15f-54f8-413a-8c66-b91be61095b3","timestamp":"2026-08-25T15:16:52.167Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/feedback_pertinence.md","content":"---\nname: Pertinence des annonces Lou-Ka\ndescription: L'utilisateur exige que Lou-Ka n'affiche QUE des logements à louer au mois — pas de stationnements (~200 $), garages, locaux commerciaux, objets, tarifs à la nuit\ntype: feedback\noriginSessionId: 048b2f77-93a9-4c47-9af0-6898fcb24dcd\n---\nLou-Ka ne doit afficher que des logements à louer au mois. Les annonces hors sujet (stationnements ~200 $, garages/entreposage, locaux commerciaux/bureaux, objets divers, tarifs à la nuit) doivent être mises en quarantaine, pas affichées.\n\n**Why:** demande explicite du 2026-08-21 — les stationnements à ~200 $ polluaient les résultats ; « fait un effort pour que ça soit toute pertinent les annonces ».\n\n**How to apply:** la porte centrale est `relevance_reason()` dans `louka/quality.py` (quarantaine `published=0`, raisons « hors sujet : … »). Si de nouvelles annonces non pertinentes apparaissent (nouvelle source, nouveau motif), étendre cette fonction plutôt que filtrer côté frontend ou connecteur par connecteur. Toujours faire un essai à blanc sur la base avant backfill (les titres « avec stationnement inclus » et les immeubles mixtes sont des faux positifs classiques). Même exigence de pertinence probable sur les autres sites Ka.\n","numLines":12,"startLine":1,"totalLines":12}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePgrk9D3oN9jbk8pC4pC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01K9tVj3LCyq3u6qw36VADp4","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/project_enrichissement.md"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33777,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33777,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7fc44791-c013-4bcb-aaf3-035f42674bae"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K9tVj3LCyq3u6qw36VADp4","type":"tool_result","content":"1\t---\n2\tname: Routine enrichissement post-campagne connecteurs\n3\tdescription: Ordre des commandes run.py pour enrichir les annonces après une campagne de nouveaux connecteurs, et gotchas (venv, Overpass, imgaudit)\n4\ttype: project\n5\toriginSessionId: 104060c4-c8ec-498d-b639-d4b9681a80e9\n6\t---\n7\tAprès une campagne de nouveaux connecteurs (syncs initiaux faits), l'enrichissement complet se lance à la main avec `.venv/bin/python run.py ` (⚠️ PAS `python3` système — pas de dépendances) :\n8\t\n9\t1. `geocode` (batch Adresses Québec) → 2. `quality` → 3. `imgaudit ` → 4. `quartier` → 5. `env` → 6. `kascores` → 7. `poi` → 8. `buildings` → 9. `fairvalue` → 10. `managers ` (SerpApi) → 11. `tal 60 600` et `hydro-precompute 100 40` (lots, le watch complète ensuite).\n10\t\n11\t**Why:** fait le 2026-08-25 pour la campagne province (149 connecteurs, 3 685 annonces) — rien ne s'enrichit tout seul à part hydro (appelé par watch). Aucun cron d'enrichissement n'existe.\n12\t\n13\t**How to apply:**\n14\t- kascores/poi dépendent de `env` et du géocodage ; fairvalue des publiées ; relancer `poi` puis `kascores` si des tuiles échouent (incrémental, pas cher).\n15\t- imgaudit n'audite que published=1 avec galerie non vide — des `images_ok NULL` restants sont normaux.\n16\t- Overpass : 4 miroirs dans poi.py (kumi, overpass-api.de, maps.mail.ru, openstreetmap.fr — panne simultanée des 2 premiers le 2026-08-25). Un run poi complet province ≈ 1-2 h.\n17\t- TAL ≈ 30 % d'erreurs anti-bot par lot : normal, repasser plus tard.\n18\t- Rien à committer : tout va dans data/*.db (ignorées par git).\n19\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"454a8c53-c3fa-4c87-b3a9-8f7d46a37c8e","timestamp":"2026-08-25T15:16:52.890Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/project_enrichissement.md","content":"---\nname: Routine enrichissement post-campagne connecteurs\ndescription: Ordre des commandes run.py pour enrichir les annonces après une campagne de nouveaux connecteurs, et gotchas (venv, Overpass, imgaudit)\ntype: project\noriginSessionId: 104060c4-c8ec-498d-b639-d4b9681a80e9\n---\nAprès une campagne de nouveaux connecteurs (syncs initiaux faits), l'enrichissement complet se lance à la main avec `.venv/bin/python run.py ` (⚠️ PAS `python3` système — pas de dépendances) :\n\n1. `geocode` (batch Adresses Québec) → 2. `quality` → 3. `imgaudit ` → 4. `quartier` → 5. `env` → 6. `kascores` → 7. `poi` → 8. `buildings` → 9. `fairvalue` → 10. `managers ` (SerpApi) → 11. `tal 60 600` et `hydro-precompute 100 40` (lots, le watch complète ensuite).\n\n**Why:** fait le 2026-08-25 pour la campagne province (149 connecteurs, 3 685 annonces) — rien ne s'enrichit tout seul à part hydro (appelé par watch). Aucun cron d'enrichissement n'existe.\n\n**How to apply:**\n- kascores/poi dépendent de `env` et du géocodage ; fairvalue des publiées ; relancer `poi` puis `kascores` si des tuiles échouent (incrémental, pas cher).\n- imgaudit n'audite que published=1 avec galerie non vide — des `images_ok NULL` restants sont normaux.\n- Overpass : 4 miroirs dans poi.py (kumi, overpass-api.de, maps.mail.ru, openstreetmap.fr — panne simultanée des 2 premiers le 2026-08-25). 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C'est Lou-Ka, un site d'annonces de logements à louer au mois au Québec. Je prépare un gros upgrade : (a) ajouter une catégorie « location court terme » (chalets, Airbnb-like, séjours à la nuit/semaine) avec de nouveaux connecteurs, (b) enrichir les connecteurs existants, (c) améliorer le rendu des fiches (pages détail). J'ai besoin d'une cartographie factuelle, pas d'un plan.\n\nRapporte précisément :\n\n1. **Architecture connecteurs** : où vivent les connecteurs (louka/connectors/ ? actors/ ?), combien il y en a, la classe/interface de base (fichier:ligne), le format d'une annonce normalisée (champs), comment un connecteur est enregistré/découvert, et 2-3 exemples représentatifs de connecteurs (un simple, un complexe). Comment `run.py sync` (ou équivalent) les orchestre.\n\n2. **Schéma de données** : tables SQLite principales (data/*.db), colonnes de la table des annonces (listings ?), y a-t-il déjà un champ type de location / durée / rental_type / price_period ? Comment le prix est stocké (mensuel seulement ?).\n\n3. **quality.py** : signature et logique de `relevance_reason()` — cite les motifs qui quarantainent le « court terme / à la nuit » (fichier:lignes exactes), et où cette fonction est appelée.\n\n4. **Frontend** : stack (statique ? framework ?), fichiers clés du rendu des fiches détail (page logement) — templates/JS/CSS, structure des sections actuelles (galerie, prix, description, analyses, carte, KA scores, quartier...), comment les données arrivent au frontend (API ? JSON générés ?). Le serveur (port, PM2 ?).\n\n5. **run.py** : liste des commandes disponibles.\n\n6. **Enrichissements existants** : modules louka/ (poi, env, kascores, fairvalue, quartier, tal, hydro, managers, imgaudit...) — une ligne chacun sur ce qu'ils font et les champs/tables qu'ils remplissent.\n\n7. 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J'ai besoin d'une cartographie factuelle, pas d'un plan.\n\nRapporte précisément :\n\n1. **Architecture connecteurs** : où vivent les connecteurs (louka/connectors/ ? actors/ ?), combien il y en a, la classe/interface de base (fichier:ligne), le format d'une annonce normalisée (champs), comment un connecteur est enregistré/découvert, et 2-3 exemples représentatifs de connecteurs (un simple, un complexe). Comment `run.py sync` (ou équivalent) les orchestre.\n\n2. **Schéma de données** : tables SQLite principales (data/*.db), colonnes de la table des annonces (listings ?), y a-t-il déjà un champ type de location / durée / rental_type / price_period ? Comment le prix est stocké (mensuel seulement ?).\n\n3. **quality.py** : signature et logique de `relevance_reason()` — cite les motifs qui quarantainent le « court terme / à la nuit » (fichier:lignes exactes), et où cette fonction est appelée.\n\n4. **Frontend** : stack (statique ? framework ?), fichiers clés du rendu des fiches détail (page logement) — templates/JS/CSS, structure des sections actuelles (galerie, prix, description, analyses, carte, KA scores, quartier...), comment les données arrivent au frontend (API ? JSON générés ?). Le serveur (port, PM2 ?).\n\n5. **run.py** : liste des commandes disponibles.\n\n6. **Enrichissements existants** : modules louka/ (poi, env, kascores, fairvalue, quartier, tal, hydro, managers, imgaudit...) — une ligne chacun sur ce qu'ils font et les champs/tables qu'ils remplissent.\n\n7. Y a-t-il déjà des traces de « court terme » dans le code (recherche « court terme », « nuit », « chalet », « airbnb », « short » ) ?\n\nRéponds en français, structuré, avec chemins de fichiers et numéros de lignes. 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MzkgLzYdozipbinXJ2ZFZX","type":"tool_result","content":"1\t#!/usr/bin/env python3\n2\t# -----------------------------------------------------------------------------\n3\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n4\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n5\t# run.py : point d'entrée — `sync`, `watch`, `serve`\n6\t# -----------------------------------------------------------------------------\n7\t\"\"\"Utilisation :\n8\t python run.py sync [source ...] # synchronise les annonces\n9\t python run.py watch [minutes] # synchronise en boucle (défaut 60 min)\n10\t python run.py sync-ct [source ...] # synchronise la section court terme\n11\t python run.py watch-ct [minutes] # boucle court terme (défaut 360 min)\n12\t python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n13\t python run.py record # enregistre les fixtures de test d'une source\n14\t python run.py geocode [n] # géocode les annonces sans coordonnées (max n requêtes)\n15\t python run.py poi [n] # commodités de proximité par immeuble (max n requêtes)\n16\t python run.py env [n] # environnement OSM par tuile (socle des KA Scores)\n17\t python run.py kascores [all] # calcule les KA Scores du parc (all = tout recalculer)\n18\t python run.py buildings # passeport des immeubles (building_key + stats)\n19\t python run.py managers [budget_s] # gestionnaires : fiche Google Maps + avis (SerpApi)\n20\t\"\"\"\n21\tfrom __future__ import annotations\n22\t\n23\timport os\n24\timport sys\n25\tfrom pathlib import Path\n26\t\n27\t# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n28\t_env = Path(__file__).parent / \".env\"\n29\tif _env.exists():\n30\t for line in _env.read_text().splitlines():\n31\t line = line.strip()\n32\t if line and not line.startswith(\"#\") and \"=\" in line:\n33\t k, _, v = line.partition(\"=\")\n34\t os.environ.setdefault(k.strip(), v.strip())\n35\t\n36\t\n37\tdef main() -> None:\n38\t cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n39\t if cmd == \"sync\":\n40\t from louka import ingest\n41\t ingest.run(sys.argv[2:] or None)\n42\t elif cmd == \"watch\":\n43\t from louka import ingest\n44\t minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n45\t ingest.watch(minutes * 60)\n46\t elif cmd == \"sync-ct\":\n47\t from louka.shortterm import ingest as ct_ingest\n48\t ct_ingest.run(sys.argv[2:] or None)\n49\t elif cmd == \"watch-ct\":\n50\t from louka.shortterm import ingest as ct_ingest\n51\t minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 360\n52\t ct_ingest.watch(minutes * 60)\n53\t elif cmd == \"geocode1\":\n54\t from louka import geocode\n55\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n56\t geocode.run(limit)\n57\t elif cmd == \"geocode\":\n58\t # lot Adresses Québec (rapide) ; « geocode1 » = ancien mode 1-par-1\n59\t from louka import geocode\n60\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n61\t geocode.run_batch(limit)\n62\t elif cmd == \"quality\":\n63\t # (re)calcule le score de complétude + publication/quarantaine\n64\t from louka import quality\n65\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n66\t quality.backfill(limit)\n67\t elif cmd == \"imgaudit\":\n68\t # contrôle qualité des images (liens morts, minuscules, placeholders,\n69\t # doublons) — incrémental : python run.py imgaudit [n_annonces] [source]\n70\t from louka import imgcheck\n71\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else 1500\n72\t src = sys.argv[3] if len(sys.argv) > 3 else None\n73\t imgcheck.run(limit, source=src)\n74\t elif cmd == \"fairvalue\":\n75\t # (re)calcule la juste valeur locative de toutes les annonces publiées\n76\t from louka import fairvalue\n77\t fairvalue.compute_all()\n78\t elif cmd == \"poi\":\n79\t from louka import poi\n80\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n81\t poi.run(limit)\n82\t elif cmd == \"quartier\":\n83\t from louka import quartier\n84\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n85\t quartier.enrich(limit)\n86\t elif cmd == \"env\":\n87\t # données d'environnement OSM par tuile (routes, rails, cyclable,\n88\t # bars, POI complets) — cache ~3 mois, socle des KA Scores\n89\t from louka import environment\n90\t limit = int(sys.argv[2]) if len(sys.argv) > 2 else None\n91\t print(environment.run(limit))\n92\t elif cmd == \"kascores\":\n93\t # (re)calcule les KA Scores (Walk/Transit/Bike/Calme/Services + global)\n94\t # incrémental ; « python run.py kascores all » force tout le parc\n95\t from louka import kascores\n96\t force = len(sys.argv) > 2 and sys.argv[2] == \"all\"\n97\t print(kascores.run(recompute_all=force))\n98\t elif cmd == \"inondation-build\":\n99\t from louka import inondation\n100\t inondation.build()\n101\t elif cmd == \"air-refresh\":\n102\t from louka import air\n103\t air.refresh()\n104\t elif cmd == \"gaz-refresh\":\n105\t from louka import gaz\n106\t print(f\"[gaz] {gaz.refresh()} stations\")\n107\t elif cmd == \"hydro-precompute\":\n108\t from louka import hydro\n109\t n = int(sys.argv[2]) if len(sys.argv) > 2 else 100\n110\t b = int(sys.argv[3]) if len(sys.argv) > 3 else 40\n111\t hydro.precompute(limit=n, budget=b)\n112\t elif cmd == \"rdl\":\n113\t from louka import rdl\n114\t rdl.refresh()\n115\t elif cmd == \"tal\":\n116\t # historique TAL (décisions SOQUIJ) par adresse, par lots\n117\t from louka import tal\n118\t n = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n119\t b = int(sys.argv[3]) if len(sys.argv) > 3 else 600\n120\t tal.precompute(limit=n, budget=b)\n121\t elif cmd == \"buildings\":\n122\t # (re)calcule le passeport de tous les immeubles (building_key + stats)\n123\t from louka import building\n124\t print(building.rollup())\n125\t elif cmd == \"managers\":\n126\t # gestionnaires : amorçage + résolution Google Maps + avis (SerpApi)\n127\t # « python run.py managers [budget_s] »\n128\t from louka import managers\n129\t b = float(sys.argv[2]) if len(sys.argv) > 2 else 300\n130\t print(managers.precompute(budget_s=b))\n131\t elif cmd == \"record\":\n132\t from louka import fixtures\n133\t from louka.connectors import CONNECTORS\n134\t targets = sys.argv[2:] or sorted(CONNECTORS)\n135\t for sid in targets:\n136\t try:\n137\t print(f\"[lou-ka] record {sid} ... {fixtures.record(sid)}\")\n138\t except Exception as exc:\n139\t print(f\"[lou-ka] record {sid} ÉCHEC : {exc}\", file=sys.stderr)\n140\t elif cmd == \"serve\":\n141\t import uvicorn\n142\t port = int(sys.argv[2]) if len(sys.argv) > 2 else 8080\n143\t uvicorn.run(\"louka.web:app\", host=\"0.0.0.0\", port=port)\n144\t else:\n145\t print(__doc__)\n146\t sys.exit(1)\n147\t\n148\t\n149\tif __name__ == \"__main__\":\n150\t main()\n151\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6a0a92a5-6eb3-4d9f-99ed-aa00dc09d067","timestamp":"2026-08-25T15:17:16.977Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/lou…","usage":{"total_tokens":11737,"tool_uses":4,"duration_ms":4359},"last_tool_name":"Bash","uuid":"07dd8f2b-cc08-49b2-8adf-0a265f49da1b","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguA2wd57r6QURoZ8U9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L1p4B6UnbUvkMqejsArWxF","name":"Bash","input":{"command":"ls -la 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016dTm2AxPigDHCn1Zsz91qT","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# schema.py : modèle de données standardisé (Listing) + enrichissement central\n5\t# -----------------------------------------------------------------------------\n6\t\"\"\"Schéma standard d'une annonce (Listing) et normalisation des champs.\n7\t\n8\tChaque connecteur, peu importe le site source, doit produire des objets\n9\t`Listing` conformes à ce schéma. La méthode `finalize()` applique ensuite\n10\tla couche de normalisation commune (louka/normalize.py) : dates ISO,\n11\tsuperficie en pi², commodités canoniques, prix… — les connecteurs peuvent\n12\tdonc rester simples et remplir les champs bruts.\n13\t\"\"\"\n14\tfrom __future__ import annotations\n15\t\n16\timport hashlib\n17\timport json\n18\tfrom dataclasses import dataclass, field, asdict\n19\t\n20\tfrom .normalize import ( # ré-exportés pour les connecteurs existants\n21\t bedrooms_from_unit_type,\n22\t clean_address,\n23\t clean_city,\n24\t clean_sector,\n25\t coerce_count,\n26\t extract_details,\n27\t merge_details,\n28\t normalize_unit_type,\n29\t parse_area_sqft,\n30\t parse_availability_date,\n31\t parse_bathrooms,\n32\t parse_bedrooms,\n33\t parse_price,\n34\t price_is_from,\n35\t strip_accents,\n36\t)\n37\t\n38\t__all__ = [\n39\t \"Listing\", \"infer_city\", \"normalize_unit_type\", \"parse_price\",\n40\t \"parse_availability_date\", \"parse_area_sqft\", \"clean_address\",\n41\t \"strip_accents\",\n42\t]\n43\t\n44\t\n45\t@dataclass\n46\tclass Listing:\n47\t \"\"\"Annonce standardisée Lou-Ka.\"\"\"\n48\t\n49\t source: str # id de la source (voir data/sources.json)\n50\t external_id: str # identifiant chez la source\n51\t url: str # page de l'annonce chez la source\n52\t title: str = \"\" # ex. \"555, avenue du Fleuve\"\n53\t address: str = \"\" # adresse civique\n54\t sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n55\t city: str = \"\" # Québec, Lévis, ...\n56\t unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n57\t bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n58\t bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n59\t price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n60\t price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n61\t availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n62\t availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n63\t area_sqft: float | None = None # superficie en pi²\n64\t pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n65\t furnished: bool | None = None # meublé (None = inconnu)\n66\t description: str = \"\"\n67\t digest: dict | None = None # description structurée (louka/textmine.py)\n68\t amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n69\t details: dict = field(default_factory=dict) # champs structurés (JSON)\n70\t images: list[str] = field(default_factory=list) # URLs absolues\n71\t lat: float | None = None\n72\t lng: float | None = None\n73\t\n74\t @property\n75\t def uid(self) -> str:\n76\t return f\"{self.source}:{self.external_id}\"\n77\t\n78\t def content_hash(self) -> str:\n79\t \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n80\t payload = asdict(self)\n81\t blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n82\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n83\t\n84\t def finalize(self) -> \"Listing\":\n85\t \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n86\t\n87\t Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n88\t \"\"\"\n89\t import html as _html\n90\t self.title = _html.unescape(self.title).strip()\n91\t self.address = clean_address(_html.unescape(self.address))\n92\t self.sector = clean_sector(self.sector)\n93\t self.city = clean_city(self.city)\n94\t self.unit_type = normalize_unit_type(self.unit_type)\n95\t\n96\t if self.price is None:\n97\t self.price = parse_price(self.price_label)\n98\t if self.availability_date is None:\n99\t self.availability_date = parse_availability_date(self.availability)\n100\t if self.area_sqft is None:\n101\t for texte in (self.description, \" \".join(self.amenities), self.title):\n102\t self.area_sqft = parse_area_sqft(texte)\n103\t if self.area_sqft is not None:\n104\t break\n105\t\n106\t # coordonnées fournies par la source : rejeter tout point hors de la\n107\t # province (lat/lng inversés, 0/0, coquilles) — le géocodeur prendra\n108\t # le relais sur l'adresse plutôt que d'afficher un point au Kazakhstan\n109\t if self.lat is not None and self.lng is not None:\n110\t if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n111\t self.lat = self.lng = None\n112\t\n113\t derived = extract_details(self.amenities, self.description, self.title)\n114\t if self.price_label and price_is_from(self.price_label):\n115\t derived[\"price_from\"] = True\n116\t self.details = merge_details(self.details, derived)\n117\t\n118\t # chambres / salles de bain : valeur explicite du connecteur d'abord,\n119\t # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n120\t # puis extraction texte — jamais de valeur inventée (None = inconnu)\n121\t if self.bedrooms is None:\n122\t for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n123\t self.bedrooms = coerce_count(self.details.get(k))\n124\t if self.bedrooms is not None:\n125\t break\n126\t if self.bedrooms is None:\n127\t self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n128\t if self.bedrooms is None:\n129\t self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n130\t self.description)\n131\t if self.bathrooms is None:\n132\t for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n133\t \"Salle(s) de bain\"):\n134\t self.bathrooms = coerce_count(self.details.get(k))\n135\t if self.bathrooms is not None:\n136\t break\n137\t if self.bathrooms is None:\n138\t self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n139\t self.description)\n140\t\n141\t # description structurée (nettoyage + extraction + sections)\n142\t if self.digest is None and self.description:\n143\t try:\n144\t from .textmine import analyser\n145\t self.digest = analyser(self.description, price=self.price,\n146\t sector=self.sector, city=self.city)\n147\t except ImportError:\n148\t pass # module absent : la fiche affichera le texte brut\n149\t\n150\t if self.pets is None:\n151\t self.pets = self.details.get(\"pets\")\n152\t else:\n153\t self.details[\"pets\"] = self.pets\n154\t if self.furnished is None:\n155\t furn = self.details.get(\"furnished\")\n156\t self.furnished = furn if isinstance(furn, bool) else None\n157\t else:\n158\t self.details[\"furnished\"] = self.furnished\n159\t return self\n160\t\n161\t\n162\t# ---------------------------------------------------------------------------\n163\t# Secteur -> ville (agglomération Québec / Lévis)\n164\t# ---------------------------------------------------------------------------\n165\t\n166\t_LEVIS_SECTORS = {\n167\t \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n168\t \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n169\t \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n170\t \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n171\t}\n172\t\n173\t\n174\tdef infer_city(sector: str, default: str = \"Québec\") -> str:\n175\t key = strip_accents((sector or \"\").strip().lower())\n176\t if key in _LEVIS_SECTORS or \"levis\" in key:\n177\t return \"Lévis\"\n178\t return default\n179\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b5b10cc8-496d-4003-abf9-1e2f38c3d30c","timestamp":"2026-08-25T15:17:20.510Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ls /Users/simon-pierreboucher/apps/lou-ka/louka/c…","usage":{"total_tokens":17709,"tool_uses":8,"duration_ms":7777},"last_tool_name":"Bash","uuid":"ba720f46-03c3-4165-bf48-f67b27323ae7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguSNDBRsX4w7aMPjke","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MUw3MudRdFBKf5P6vVyR2q","name":"Bash","input":{"command":"ls /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/*.py | wc -l"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5958,"cache_read_input_tokens":11709,"cache_creation":{"ephemeral_5m_input_tokens":5958,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b55672d9-64f9-44f6-b506-95ba84032acc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MUw3MudRdFBKf5P6vVyR2q","type":"tool_result","content":" 373","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a8675901-93be-4505-9fcf-a54d9d772889","timestamp":"2026-08-25T15:17:20.878Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -100 /Users/simon-pierreboucher/apps/lou-ka/…","usage":{"total_tokens":17712,"tool_uses":9,"duration_ms":7995},"last_tool_name":"Bash","uuid":"e6a78f78-372b-4ee7-bcf2-c061ff00c824","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguSNDBRsX4w7aMPjke","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015uGmrAZRFjovRxsL8UPPmP","name":"Bash","input":{"command":"head -100 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/__init__.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5958,"cache_read_input_tokens":11709,"cache_creation":{"ephemeral_5m_input_tokens":5958,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"20af1143-3dec-4228-8aaa-daf38eae7e0f"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015uGmrAZRFjovRxsL8UPPmP","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/__init__.py : registre AUTO-DÉCOUVRANT des connecteurs\n# Tout module de ce paquet contenant une sous-classe de BaseConnector avec un\n# source_id non vide est enregistré automatiquement — aucun fichier partagé\n# à modifier pour ajouter un connecteur.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport importlib\nimport pkgutil\nimport sys\n\nfrom .base import BaseConnector\n\nCONNECTORS: dict[str, type[BaseConnector]] = {}\n\nfor _mod in pkgutil.iter_modules(__path__):\n if _mod.name in (\"base\", \"__init__\"):\n continue\n try:\n module = importlib.import_module(f\"{__name__}.{_mod.name}\")\n except Exception as exc: # un connecteur cassé ne bloque pas les autres\n print(f\"[lou-ka] connecteur '{_mod.name}' ignoré : {exc}\", file=sys.stderr)\n continue\n for obj in vars(module).values():\n if (isinstance(obj, type) and issubclass(obj, BaseConnector)\n and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\n if getattr(obj, \"disabled\", False): # source hors-ligne (voir le module)\n continue\n CONNECTORS[obj.source_id] = obj","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"13a75647-cb6e-4d22-bc91-7a63d4d3970c","timestamp":"2026-08-25T15:17:21.085Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -150 /Users/simon-pierreboucher/apps/lou-ka/…","usage":{"total_tokens":21282,"tool_uses":10,"duration_ms":9831},"last_tool_name":"Bash","uuid":"7eaeaf52-84e0-4d61-8871-420b38b61780","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgubCHC8irWLUk6iYTq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Jq2ooexdYprf72LnQc5M1f","name":"Bash","input":{"command":"head -150 /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":7,"cache_creation_input_tokens":3566,"cache_read_input_tokens":17667,"cache_creation":{"ephemeral_5m_input_tokens":3566,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3e321c0f-ac79-492b-b2c7-5eff28d7a1c0"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading louka/quality.py","usage":{"total_tokens":21284,"tool_uses":11,"duration_ms":9854},"last_tool_name":"Read","uuid":"bd23751e-f0d1-4c54-baee-27bb32d23dce","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgubCHC8irWLUk6iYTq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0191V4QrRykDy5F5SHWbiNvQ","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3566,"cache_read_input_tokens":17667,"cache_creation":{"ephemeral_5m_input_tokens":3566,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0ed507b2-5a27-40a3-a580-8ada65d9a083"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0191V4QrRykDy5F5SHWbiNvQ","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# quality.py : score de complétude par annonce + seuil minimum de publication\n5\t# Une annonce sous le seuil (sans prix, sans localisation ou sans contenu\n6\t# exploitable) est mise en QUARANTAINE (published=0) : conservée en base,\n7\t# re-synchronisée normalement, mais jamais affichée sur le site.\n8\t# -----------------------------------------------------------------------------\n9\tfrom __future__ import annotations\n10\t\n11\timport json\n12\timport re\n13\t\n14\t# Seuil de publication (score 0–100). Les portes dures (prix, localisation,\n15\t# contenu) s'appliquent en plus du score — voir evaluate().\n16\tPUBLISH_THRESHOLD = 40\n17\t\n18\t# Pondération du score de complétude (total = 100)\n19\tW_PRICE = 20 # prix mensuel exploitable\n20\tW_LOCATION = 14 # adresse OU coordonnées GPS (partiel si ville seulement)\n21\tW_CITY = 4\n22\tW_DESCRIPTION = 14 # >= 200 caractères ; partiel si >= 60\n23\tW_IMAGES = 16 # 0 -> 0 ; 1 -> 6 ; 2-4 -> 11 ; >= 5 -> 16\n24\tW_UNIT = 8 # type d'unité ou nombre de chambres\n25\tW_AVAILABILITY = 5\n26\tW_AREA = 4\n27\tW_BATHROOMS = 3\n28\tW_AMENITIES = 5 # >= 3 commodités ; partiel si >= 1\n29\tW_DETAILS = 4 # >= 3 champs structurés\n30\tW_URL = 3 # lien vers l'annonce originale (contact / réservation)\n31\t\n32\t\n33\t# ---- pertinence : n'afficher que des LOGEMENTS à louer au mois --------------\n34\t# Certaines sources mêlent stationnements, garages, entreposage, locaux\n35\t# commerciaux, objets divers ou locations à la nuit — souvent à ~200 $/mois.\n36\t# Ces annonces passent le score de complétude mais ne sont pas des logements :\n37\t# on les met en quarantaine (published=0) avec une raison « hors sujet ».\n38\t\n39\t# vocabulaire logement (titre/description)\n40\t_RE_RES = re.compile(\n41\t r\"chambre|room|studio|appart|apartment|condo|loft|maison|house|\"\n42\t r\"logement|logis\\b|r[ée]sidences?\\b|chalet|penthouse|duplex|triplex|\"\n43\t r\"bachelor|colocation|\"\n44\t r\"sous-sol|basement|½|1/2|\\b\\d[.,]5\\b|\\bdemie?s?\\b|\\bbed(?:room)?s?\\b|\"\n45\t r\"\\bunit[ée]?s?\\b|\\bpi[eè]ces\\b\", re.I)\n46\t\n47\t# objet non résidentiel proposé à la location\n48\t_RE_NONRES = re.compile(\n49\t r\"stationnements?|parkings?|garages?|entrep[oô]ts?|entreposage|\"\n50\t r\"espaces? de rangement|places? de (?:stationnement|parking)|\"\n51\t r\"lockers?|cabanons?|remises?|\"\n52\t r\"loca(?:l|ux) commercia(?:l|ux)|espaces? commercia(?:l|ux)|\\bbureaux?\\b\",\n53\t re.I)\n54\t\n55\t# description qui COMMENCE par l'objet non résidentiel (l'annonce vend ça)\n56\t_RE_DESC_LEAD = re.compile(\n57\t r\"^\\W*(?:grande?s?|petite?s?|beaux?|belles?|beau|magnifiques?|superbes?|\"\n58\t r\"jolie?s?|\\d+)?\\s*\"\n59\t r\"(?:stationnements?|parkings?|garages?|entrep[oô]ts?|\"\n60\t r\"places? de (?:stationnement|parking)|espaces? de (?:rangement|stationnement)|\"\n61\t r\"bureaux?|loca(?:l|ux) (?:commercia(?:l|ux)|industriels?|professionnels?))\\b\",\n62\t re.I)\n63\t\n64\t# local commercial / bureau / industriel (titre ou description)\n65\t_RE_COMMERCIAL = re.compile(\n66\t r\"loca(?:l|ux)\\s+(?:commercia(?:l|ux)|industriels?|professionnels?)|\"\n67\t r\"espaces?\\s+(?:de\\s+)?bureaux?\\b|espaces?\\s+commercia(?:l|ux)|\"\n68\t r\"aménagé\\s+en\\s+(?:restaurant|commerce|boutique)|\"\n69\t r\"(?:usage|zonage|bail)\\s+commercial\", re.I)\n70\t\n71\t# « bureau » comme nom de rue (av. Jacques-Bureau…) — pas un local à louer\n72\t_RE_STREET_BUREAU = re.compile(\n73\t r\"(?:av(?:enue)?|rue|boul(?:evard)?|ch(?:emin)?|pl(?:ace)?)\\.?\\s+\"\n74\t r\"(?:\\w+[- ])?bureau\\b\", re.I)\n75\t\n76\t# location à la nuit / courte durée (le « loyer » n'est pas un prix mensuel)\n77\t_RE_NIGHTLY = re.compile(\n78\t r\"tarif par nuit|prix par nuit|par nuit et non par mois|\"\n79\t r\"location à la nuit|court terme seulement\", re.I)\n80\t\n81\t\n82\tdef relevance_reason(d: dict) -> str | None:\n83\t \"\"\"Retourne la raison de quarantaine si l'annonce n'est pas un logement\n84\t à louer au mois (stationnement, garage, entreposage, local commercial,\n85\t objet divers, location à la nuit), sinon None.\n86\t\n87\t Les seuils de prix évitent les faux positifs : un vrai logement dont le\n88\t titre mentionne « garage » (ex. « Garage intérieur chauffé » pour un 4½\n89\t à 2 250 $) reste publié, alors qu'un « garage à louer » à 195 $ tombe.\n90\t \"\"\"\n91\t title = (d.get(\"title\") or \"\").strip()\n92\t desc = (d.get(\"description\") or \"\").strip()\n93\t head = desc[:300]\n94\t price = d.get(\"price\")\n95\t priced = isinstance(price, (int, float))\n96\t unit = (d.get(\"unit_type\") or \"\").strip()\n97\t res_title = bool(_RE_RES.search(title))\n98\t res_text = res_title or bool(_RE_RES.search(head))\n99\t\n100\t # 1) le titre vend un stationnement/garage/local, sans vocabulaire logement\n101\t if _RE_NONRES.search(title) and not res_title \\\n102\t and not _RE_STREET_BUREAU.search(title) \\\n103\t and (not unit or not priced or price < 700):\n104\t return \"hors sujet : stationnement/garage/local (titre)\"\n105\t # 2) la description s'ouvre sur l'objet non résidentiel — attrape les\n106\t # titres trompeurs (« Appartement Garage à Louer » à 195 $) et les\n107\t # titres-adresses (« P158 1400 Boul René-Lévesque »)\n108\t if _RE_DESC_LEAD.match(desc) and (\n109\t not priced or price < 450\n110\t or (not res_title and \"à vendre\" in head.lower())):\n111\t return \"hors sujet : stationnement/garage/local (description)\"\n112\t # 3) prix de case de stationnement + aucun vocabulaire logement\n113\t if priced and price < 450 and not res_text and _RE_NONRES.search(head):\n114\t return \"hors sujet : stationnement/garage (prix + texte)\"\n115\t # 4) local commercial/bureau/industriel sans aucun vocabulaire logement\n116\t if not res_text and _RE_COMMERCIAL.search(f\"{title}\\n{head}\"):\n117\t return \"hors sujet : local commercial/bureau\"\n118\t # 5) prix impossible pour un logement + aucun signal logement dans le texte\n119\t # (case de stationnement à titre-adresse, objets divers…)\n120\t if priced and price < 300 and not res_text and unit != \"Chambre\":\n121\t return \"hors sujet : prix non résidentiel, aucun signal logement\"\n122\t # 6) prix à la nuit / courte durée affiché comme loyer mensuel\n123\t if priced and price < 600 and _RE_NIGHTLY.search(desc):\n124\t return \"hors sujet : location à la nuit / court terme\"\n125\t return None\n126\t\n127\t\n128\tdef _as_list(value) -> list:\n129\t if isinstance(value, list):\n130\t return value\n131\t if isinstance(value, str) and value:\n132\t try:\n133\t out = json.loads(value)\n134\t return out if isinstance(out, list) else []\n135\t except ValueError:\n136\t return []\n137\t return []\n138\t\n139\t\n140\tdef _as_dict(value) -> dict:\n141\t if isinstance(value, dict):\n142\t return value\n143\t if isinstance(value, str) and value:\n144\t try:\n145\t out = json.loads(value)\n146\t return out if isinstance(out, dict) else {}\n147\t except ValueError:\n148\t return {}\n149\t return {}\n150\t\n151\t\n152\tdef evaluate(d: dict) -> tuple[float, bool, list[str]]:\n153\t \"\"\"Évalue une annonce (dict aux clés du schéma listings).\n154\t\n155\t Retourne (score 0–100, publiable, raisons de quarantaine).\n156\t Accepte indifféremment les champs JSON sérialisés (rangée SQLite) ou\n157\t déjà décodés (Listing.asdict) — images/amenities/details.\n158\t \"\"\"\n159\t score = 0.0\n160\t reasons: list[str] = []\n161\t\n162\t # loyer mensuel plausible : hors bornes = donnée corrompue à la source\n163\t # (0,02 $, 1 $, prix « à la nuit »…) — traité comme absence de prix\n164\t price = d.get(\"price\")\n165\t has_price = isinstance(price, (int, float)) and 175 <= price <= 20000\n166\t if has_price:\n167\t score += W_PRICE\n168\t\n169\t address = (d.get(\"address\") or \"\").strip()\n170\t city = (d.get(\"city\") or \"\").strip()\n171\t sector = (d.get(\"sector\") or \"\").strip()\n172\t has_coords = d.get(\"lat\") is not None and d.get(\"lng\") is not None\n173\t if address or has_coords:\n174\t score += W_LOCATION\n175\t elif sector:\n176\t score += W_LOCATION * 0.5\n177\t if city:\n178\t score += W_CITY\n179\t\n180\t desc = (d.get(\"description\") or \"\").strip()\n181\t if len(desc) >= 200:\n182\t score += W_DESCRIPTION\n183\t elif len(desc) >= 60:\n184\t score += W_DESCRIPTION * 0.5\n185\t\n186\t images = _as_list(d.get(\"images\"))\n187\t n_img = len(images)\n188\t if n_img >= 5:\n189\t score += W_IMAGES\n190\t elif n_img >= 2:\n191\t score += 11\n192\t elif n_img == 1:\n193\t score += 6\n194\t\n195\t if (d.get(\"unit_type\") or \"\").strip() or d.get(\"bedrooms\") is not None:\n196\t score += W_UNIT\n197\t if d.get(\"availability_date\") or (d.get(\"availability\") or \"\").strip():\n198\t score += W_AVAILABILITY\n199\t if d.get(\"area_sqft\"):\n200\t score += W_AREA\n201\t if d.get(\"bathrooms\") is not None:\n202\t score += W_BATHROOMS\n203\t\n204\t amenities = _as_list(d.get(\"amenities\"))\n205\t if len(amenities) >= 3:\n206\t score += W_AMENITIES\n207\t elif len(amenities) >= 1:\n208\t score += W_AMENITIES * 0.5\n209\t\n210\t details = _as_dict(d.get(\"details\"))\n211\t if len(details) >= 3:\n212\t score += W_DETAILS\n213\t elif len(details) >= 1:\n214\t score += W_DETAILS * 0.5\n215\t\n216\t if (d.get(\"url\") or \"\").strip():\n217\t score += W_URL\n218\t\n219\t score = round(min(score, 100.0), 1)\n220\t\n221\t # ---- portes dures de publication ---------------------------------------\n222\t if not has_price:\n223\t reasons.append(\"sans prix\" if not price else f\"prix non plausible ({price:g} $)\")\n224\t if not (address or has_coords or city):\n225\t reasons.append(\"sans localisation\")\n226\t # contenu exploitable : description OU un minimum de structure\n227\t if len(desc) < 40 and not amenities and not (d.get(\"unit_type\") or \"\").strip() \\\n228\t and d.get(\"bedrooms\") is None:\n229\t reasons.append(\"sans contenu exploitable\")\n230\t # pertinence : pas un logement à louer au mois (stationnement, garage…)\n231\t rel = relevance_reason(d)\n232\t if rel:\n233\t reasons.append(rel)\n234\t if not reasons and score < PUBLISH_THRESHOLD:\n235\t reasons.append(f\"complétude {score:.0f} < seuil {PUBLISH_THRESHOLD}\")\n236\t\n237\t return score, not reasons, reasons\n238\t\n239\t\n240\tdef backfill(limit: int | None = None, verbose: bool = True) -> dict:\n241\t \"\"\"(Re)calcule completeness/published sur toutes les annonces actives.\"\"\"\n242\t from . import db\n243\t con = db.connect()\n244\t rows = con.execute(\n245\t \"SELECT uid, title, price, address, city, sector, lat, lng, description,\"\n246\t \" images, unit_type, bedrooms, bathrooms, availability,\"\n247\t \" availability_date, area_sqft, amenities, details, url\"\n248\t \" FROM listings WHERE active=1\"\n249\t + (f\" LIMIT {int(limit)}\" if limit else \"\")).fetchall()\n250\t pub = quar = 0\n251\t for r in rows:\n252\t score, ok, reasons = evaluate(dict(r))\n253\t con.execute(\n254\t \"UPDATE listings SET completeness=?, published=?, quality_reasons=?\"\n255\t \" WHERE uid=?\",\n256\t (score, int(ok), json.dumps(reasons, ensure_ascii=False) if reasons\n257\t else None, r[\"uid\"]))\n258\t if ok:\n259\t pub += 1\n260\t else:\n261\t quar += 1\n262\t con.commit()\n263\t con.close()\n264\t out = {\"evaluees\": len(rows), \"publiees\": pub, \"quarantaine\": quar}\n265\t if verbose:\n266\t print(f\"[lou-ka] quality: {out}\")\n267\t return out\n268\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"966a9833-ef17-4aa7-929a-29eb1e6227ae","timestamp":"2026-08-25T15:17:22.925Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Jq2ooexdYprf72LnQc5M1f","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/base.py : classe de base des connecteurs + backends de fetch\n# (requests direct, Firecrawl ou Scrapfly pour les sites\n# JavaScript / derrière anti-bot)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport time\n\nimport requests\n\nfrom ..schema import Listing\n\nUSER_AGENT = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) \"\n \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 \"\n \"LouKaBot/1.0 (+https://www.lou-ka.com/bot; contact@spboucher.ai)\")\n\nFIRECRAWL_API = \"https://api.firecrawl.dev/v1/scrape\"\nSCRAPFLY_API = \"https://api.scrapfly.io/scrape\"\n\n\nclass BaseConnector:\n \"\"\"Un connecteur = un adaptateur propre à un site d'agence.\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste complète des annonces actuellement affichées sur le site.\n Le pipeline (ingest.py) s'occupe du diff avec la base de données.\n \"\"\"\n\n source_id: str = \"\"\n request_delay: float = 0.6 # politesse entre requêtes\n timeout: int = 30\n use_detail_cache: bool = True # cache BD des pages détail\n disabled: bool = False # True = source hors-ligne : le module est\n # conservé mais exclu du registre (connectors/__init__.py) et donc de l'ingestion\n\n def __init__(self) -> None:\n self.session = requests.Session()\n self.session.headers[\"User-Agent\"] = USER_AGENT\n self._last_request = 0.0\n self._detail_con = None\n\n # -- backends -------------------------------------------------------------\n def get(self, url: str, **kw) -> requests.Response:\n \"\"\"GET direct avec throttling poli.\"\"\"\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n resp = self.session.get(url, timeout=self.timeout, **kw)\n self._last_request = time.time()\n resp.raise_for_status()\n return resp\n\n def post(self, url: str, **kw) -> requests.Response:\n \"\"\"POST direct avec throttling poli (APIs de recherche internes).\"\"\"\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n resp = self.session.post(url, timeout=self.timeout, **kw)\n self._last_request = time.time()\n resp.raise_for_status()\n return resp\n\n def get_rendered(self, url: str) -> str:\n \"\"\"Récupère le HTML rendu (JavaScript exécuté) via Firecrawl.\n\n Nécessite FIRECRAWL_API_KEY dans l'environnement (.env).\n À utiliser pour les sites SPA (Logisco, Locago, etc.).\n \"\"\"\n key = os.environ.get(\"FIRECRAWL_API_KEY\")\n if not key:\n raise RuntimeError(\"FIRECRAWL_API_KEY manquant (voir .env)\")\n resp = requests.post(\n FIRECRAWL_API,\n json={\"url\": url, \"formats\": [\"html\"]},\n headers={\"Authorization\": f\"Bearer {key}\"},\n timeout=90,\n )\n resp.raise_for_status()\n data = resp.json()\n return (data.get(\"data\") or {}).get(\"html\", \"\")\n\n def scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n rendering_wait: int = 0, country: str = \"ca\",\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None, headers: dict | None = None,\n method: str = \"GET\", body: str | None = None) -> dict:\n \"\"\"Appel Scrapfly complet — retourne le dict `result` (content, status_code…).\n\n - `js_scenario` : liste d'étapes [{\"scroll_y\":…},{\"wait\":…}] (encodée base64)\n pour charger les listes virtualisées (BoldTrail/kvCORE, etc.).\n - `proxy_pool` : ex. \"public_residential_pool\" (WAF/anti-bot agressif).\n - `headers`/`method`/`body` : pour REJOUER une API JSON interne via ASP.\n \"\"\"\n import base64\n key = os.environ.get(\"SCRAPFLY_KEY\")\n if not key:\n raise RuntimeError(\"SCRAPFLY_KEY manquant (voir .env)\")\n params: dict = {\"key\": key, \"url\": url, \"country\": country}\n if asp:\n params[\"asp\"] = \"true\"\n if render_js:\n params[\"render_js\"] = \"true\"\n if rendering_wait:\n params[\"rendering_wait\"] = rendering_wait\n if wait_for_selector:\n params[\"wait_for_selector\"] = wait_for_selector\n if proxy_pool:\n params[\"proxy_pool\"] = proxy_pool\n if js_scenario is not None:\n js = js_scenario if isinstance(js_scenario, str) else json.dumps(js_scenario)\n params[\"js_scenario\"] = base64.urlsafe_b64encode(js.encode()).decode()\n if headers:\n for k, v in headers.items():\n params[f\"headers[{k}]\"] = v\n wait = self.request_delay - (time.time() - self._last_request)\n if wait > 0:\n time.sleep(wait)\n if method.upper() == \"POST\":\n resp = requests.post(SCRAPFLY_API, params=params,\n data=(body or \"\"), timeout=180)\n else:\n resp = requests.get(SCRAPFLY_API, params=params, timeout=180)\n self._last_request = time.time()\n try:\n return resp.json().get(\"result\") or {}\n except ValueError:\n return {}\n\n def get_scrapfly(self, url: str, render_js: bool = True, asp: bool = True,\n rendering_wait: int = 0, country: str = \"ca\",\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None) -> str:\n \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne\n le HTML (result.content) ou \"\" en cas d'échec ASP.\"\"\"\n return self.scrapfly(url, render_js=render_js, asp=asp,\n rendering_wait=rendering_wait, country=country,\n wait_for_selector=wait_for_selector,\n js_scenario=js_scenario, proxy_pool=proxy_pool\n ).get(\"content\") or \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Payload « page détail » avec cache : `fetch_fn` n'est appelé que si\n l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d2289012-677f-429e-9efc-5f40055cd76a","timestamp":"2026-08-25T15:17:22.927Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running sqlite3 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-60"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4416,"cache_creation_input_tokens":2166,"cache_read_input_tokens":21233,"cache_creation":{"ephemeral_5m_input_tokens":2166,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"23d791ea-7398-4908-a51f-2dbc9a72956e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014NRZB6XrTzTdiQSSsQpten","type":"tool_result","content":"CREATE TABLE listings (\n uid TEXT PRIMARY KEY,\n source TEXT NOT NULL,\n external_id TEXT NOT NULL,\n url TEXT,\n title TEXT,\n address TEXT,\n sector TEXT,\n city TEXT,\n unit_type TEXT,\n price REAL,\n price_label TEXT,\n availability TEXT,\n description TEXT,\n amenities TEXT, -- JSON\n images TEXT, -- JSON\n lat REAL,\n lng REAL,\n content_hash TEXT,\n first_seen REAL,\n last_seen REAL,\n updated_at REAL,\n active INTEGER DEFAULT 1\n, availability_date TEXT, area_sqft REAL, pets TEXT, furnished INTEGER, details TEXT, geocode_failed INTEGER DEFAULT 0, miss_count INTEGER DEFAULT 0, dauid TEXT, digest TEXT, dup_of TEXT, dup_sources TEXT, bedrooms REAL, bathrooms REAL, completeness REAL, published INTEGER DEFAULT 1, quality_reasons TEXT, images_ok TEXT, img_audit TEXT, coord_key TEXT, building_key TEXT);\nCREATE INDEX idx_listings_source ON listings(source);\nCREATE INDEX idx_listings_city ON listings(city);\nCREATE INDEX idx_listings_active ON listings(active);\nCREATE INDEX idx_listings_geo ON listings(lat, lng);\nCREATE INDEX idx_listings_pub ON listings(active, published);\nCREATE INDEX idx_listings_coord ON listings(coord_key);\nCREATE INDEX idx_listings_bkey ON listings(building_key);","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0b256d23-114a-49b8-8b30-85033dbce22e","timestamp":"2026-08-25T15:17:24.692Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/fro…","usage":{"total_tokens":27868,"tool_uses":13,"duration_ms":11904},"last_tool_name":"Bash","uuid":"6d0f1e0d-12b1-4ad7-935d-9a15170b23fc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguiJuVGaGcDYTsRp9b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0127UqEUM9rjEtutbPatUs8r","name":"Bash","input":{"command":"ls -la /Users/simon-pierreboucher/apps/lou-ka/frontend/"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4416,"cache_creation_input_tokens":2166,"cache_read_input_tokens":21233,"cache_creation":{"ephemeral_5m_input_tokens":2166,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3ecfe6ef-37c0-4daf-9129-5a6c8d1f88d4"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0127UqEUM9rjEtutbPatUs8r","type":"tool_result","content":"total 184\ndrwxr-xr-x 14 simon-pierreboucher staff 448 Aug 25 11:12 .\ndrwxr-xr-x 28 simon-pierreboucher staff 896 Aug 25 00:31 ..\n-rw-r--r-- 1 simon-pierreboucher staff 6148 Aug 9 20:49 .DS_Store\ndrwxr-xr-x 11 simon-pierreboucher staff 352 Aug 25 11:12 dist\n-rw-r--r-- 1 simon-pierreboucher staff 2105 Aug 22 14:46 index.html\ndrwxr-xr-x@ 48 simon-pierreboucher staff 1536 Aug 17 20:26 node_modules\n-rw-r--r--@ 1 simon-pierreboucher staff 61833 Aug 17 20:27 package-lock.json\n-rw-r--r-- 1 simon-pierreboucher staff 626 Aug 13 03:13 package.json\ndrwxr-xr-x 9 simon-pierreboucher staff 288 Aug 24 01:17 public\ndrwxr-xr-x 3 simon-pierreboucher staff 96 Aug 19 19:57 scripts\ndrwxr-xr-x 15 simon-pierreboucher staff 480 Aug 24 18:24 src\n-rw-r--r-- 1 simon-pierreboucher staff 655 Aug 13 02:40 tsconfig.json\n-rw-r--r--@ 1 simon-pierreboucher staff 1987 Aug 25 11:12 tsconfig.tsbuildinfo\n-rw-r--r-- 1 simon-pierreboucher staff 898 Aug 13 03:13 vite.config.ts","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6f83f0ce-c998-485c-a475-1a5565b9d0b1","timestamp":"2026-08-25T15:17:25.001Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -80 /Users/simon-pierreboucher/apps/lou-ka/f…","usage":{"total_tokens":27871,"tool_uses":14,"duration_ms":12036},"last_tool_name":"Bash","uuid":"bdb0ebbe-afe0-4d7e-8c1c-039ed57806a1","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguiJuVGaGcDYTsRp9b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KipCBiL4KDcthb2eoLsx6T","name":"Bash","input":{"command":"head -80 /Users/simon-pierreboucher/apps/lou-ka/frontend/src/routes/+page.svelte"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":4416,"cache_creation_input_tokens":2166,"cache_read_input_tokens":21233,"cache_creation":{"ephemeral_5m_input_tokens":2166,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"23c265a3-b4bd-4e5d-84fe-1293c35a10cf"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nhead: /Users/simon-pierreboucher/apps/lou-ka/frontend/src/routes/+page.svelte: No such file or directory","is_error":true,"tool_use_id":"toolu_01KipCBiL4KDcthb2eoLsx6T"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8cb4d0bf-bfdf-4a3f-ab11-c1583a17d4bc","timestamp":"2026-08-25T15:17:25.139Z","tool_use_result":"Error: Exit code 1\nhead: /Users/simon-pierreboucher/apps/lou-ka/frontend/src/routes/+page.svelte: No such file or directory"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running find /Users/simon-pierreboucher/apps/lou-ka/front…","usage":{"total_tokens":29090,"tool_uses":15,"duration_ms":13400},"last_tool_name":"Bash","uuid":"18d94783-cc66-4614-b14e-2ec53d1e7854","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgusq9f5wjMcBLwApe7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QLGLkz71QNvCYU8gWVBBmx","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/lou-ka/frontend/src -type f -name \"*.svelte\" | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5624,"cache_read_input_tokens":23399,"cache_creation":{"ephemeral_5m_input_tokens":5624,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7ddabc18-973f-4111-983a-20175e843073"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QLGLkz71QNvCYU8gWVBBmx","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7548624c-fef4-4560-99ca-7c6f3bcbba9b","timestamp":"2026-08-25T15:17:26.497Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ls /Users/simon-pierreboucher/apps/lou-ka/fronten…","usage":{"total_tokens":29092,"tool_uses":16,"duration_ms":13471},"last_tool_name":"Bash","uuid":"9de32de0-aed5-4282-88d0-be10ba753613","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgusq9f5wjMcBLwApe7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P4NJC2q9snow3MpTNpXsVY","name":"Bash","input":{"command":"ls /Users/simon-pierreboucher/apps/lou-ka/frontend/src/"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":5624,"cache_read_input_tokens":23399,"cache_creation":{"ephemeral_5m_input_tokens":5624,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"432004b1-195f-4b75-a9fd-49cf82efcde2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P4NJC2q9snow3MpTNpXsVY","type":"tool_result","content":"App.tsx\nLogo.tsx\naccount.tsx\napi.ts\ncomponents\nctapi.ts\nka\nkamaps\nmain.tsx\npages\nsearch\nstyles.css\nvite-env.d.ts","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9cd3b7c8-3b72-4ef3-8b32-de30a8e4c5a9","timestamp":"2026-08-25T15:17:26.561Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running find /Users/simon-pierreboucher/apps/lou-ka/front…","usage":{"total_tokens":29461,"tool_uses":17,"duration_ms":14749},"last_tool_name":"Bash","uuid":"75282262-c8b1-4199-bdef-5b7c8e249170","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePguz4whHSopViy4YuNd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019bwwz1EkBYCrfXTMMBSojp","name":"Bash","input":{"command":"find /Users/simon-pierreboucher/apps/lou-ka/frontend/src -name \"*listing*\" -o -name \"*detail*\" -o -name \"*fiche*\" | head -15"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":367,"cache_read_input_tokens":29023,"cache_creation":{"ephemeral_5m_input_tokens":367,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c6a601c3-cb9d-4097-8a5c-e0af4c2dfc72"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AbHQwCdVBxWykXe7SZPMSF","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t# ingest.py : pipeline d'ingestion — exécute les connecteurs et synchronise\n5\t# la base (ajouts / mises à jour / retraits) = contenu toujours à jour\n6\t# -----------------------------------------------------------------------------\n7\tfrom __future__ import annotations\n8\t\n9\timport sys\n10\timport time\n11\timport traceback\n12\t\n13\tfrom . import db\n14\tfrom .connectors import CONNECTORS\n15\t\n16\t# Disjoncteur (circuit breaker) : une source qui a échoué aux BREAKER_FAILS\n17\t# derniers passages consécutifs est SAUTÉE (les timeouts/retries des sources\n18\t# mortes ralentissaient tout le cycle), puis retentée un passage sur\n19\t# BREAKER_RETRY_EVERY. Les sauts sont consignés dans sync_log (ok=0,\n20\t# message « disjoncteur: … ») — ils comptent donc comme échecs consécutifs,\n21\t# ce qui fait avancer le compteur jusqu'à la prochaine retentative.\n22\tBREAKER_FAILS = 5\n23\tBREAKER_RETRY_EVERY = 5\n24\t\n25\t\n26\tdef _consecutive_failures(con, source: str) -> int:\n27\t \"\"\"Nombre d'entrées sync_log ok=0 consécutives (les plus récentes).\"\"\"\n28\t rows = con.execute(\n29\t \"SELECT ok FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 60\",\n30\t (source,)).fetchall()\n31\t n = 0\n32\t for r in rows:\n33\t if r[\"ok\"]:\n34\t break\n35\t n += 1\n36\t return n\n37\t\n38\t\n39\tdef run(sources: list[str] | None = None) -> list[dict]:\n40\t \"\"\"Exécute l'ingestion pour toutes les sources (ou celles demandées).\"\"\"\n41\t con = db.connect()\n42\t results = []\n43\t explicit = sources is not None # sync ciblé : ignorer le disjoncteur\n44\t targets = sources or list(CONNECTORS.keys())\n45\t for sid in targets:\n46\t cls = CONNECTORS.get(sid)\n47\t if cls is None:\n48\t print(f\"[lou-ka] connecteur inconnu : {sid}\", file=sys.stderr)\n49\t continue\n50\t if not explicit:\n51\t fails = _consecutive_failures(con, sid)\n52\t if fails >= BREAKER_FAILS and fails % BREAKER_RETRY_EVERY != 0:\n53\t print(f\"[lou-ka] {sid} sauté (disjoncteur : \"\n54\t f\"{fails} échecs consécutifs)\")\n55\t db.log_failure(con, sid,\n56\t f\"disjoncteur: sauté ({fails} échecs consécutifs)\")\n57\t results.append({\"source\": sid, \"skipped\": True, \"fails\": fails})\n58\t continue\n59\t t0 = time.time()\n60\t print(f\"[lou-ka] sync {sid} ...\")\n61\t try:\n62\t listings = cls().fetch()\n63\t finalized, dropped = [], 0\n64\t for lst in listings:\n65\t try:\n66\t finalized.append(lst.finalize())\n67\t except Exception: # une annonce malformée ne bloque pas la source\n68\t dropped += 1\n69\t stats = db.sync_source(con, sid, finalized)\n70\t stats[\"seconds\"] = round(time.time() - t0, 1)\n71\t if dropped:\n72\t stats[\"dropped\"] = dropped\n73\t if stats.get(\"alert\"):\n74\t print(f\"[lou-ka] ⚠ ALERTE {sid} : {stats['alert']}\")\n75\t print(f\"[lou-ka] {stats}\")\n76\t results.append(stats)\n77\t except Exception as exc: # robustesse : une source ne bloque pas les autres\n78\t db.log_failure(con, sid, f\"{exc}\")\n79\t traceback.print_exc()\n80\t results.append({\"source\": sid, \"error\": str(exc)})\n81\t # statistiques du planificateur SQLite : sans elles, les requêtes bbox de\n82\t # la carte (Ka Maps) retombent sur idx_listings_active au lieu du géo-index\n83\t try:\n84\t con.execute(\"PRAGMA optimize\")\n85\t except Exception:\n86\t pass\n87\t con.close()\n88\t return results\n89\t\n90\t\n91\tdef watch(interval_seconds: int = 3600) -> None:\n92\t \"\"\"Boucle de rafraîchissement périodique (pseudo-webhook par sondage).\"\"\"\n93\t while True:\n94\t run()\n95\t try: # géocoder les nouvelles adresses EN LOT (Adresses Québec)\n96\t from . import geocode\n97\t geocode.run_batch()\n98\t except Exception as exc:\n99\t print(f\"[lou-ka] geocode: erreur non bloquante: {exc}\", file=sys.stderr)\n100\t try: # commodités de proximité des nouveaux immeubles (cache aussi)\n101\t from . import poi\n102\t poi.run(limit=80)\n103\t except Exception as exc:\n104\t print(f\"[lou-ka] poi: erreur non bloquante: {exc}\", file=sys.stderr)\n105\t try: # aire de diffusion (stats de quartier) des nouvelles annonces\n106\t from . import quartier\n107\t quartier.enrich()\n108\t except Exception as exc:\n109\t print(f\"[lou-ka] quartier: erreur non bloquante: {exc}\", file=sys.stderr)\n110\t try: # rafraîchir le score de complétude (le géocodage vient de compléter\n111\t # des coordonnées) + publication/quarantaine\n112\t from . import quality\n113\t quality.backfill()\n114\t except Exception as exc:\n115\t print(f\"[lou-ka] quality: erreur non bloquante: {exc}\", file=sys.stderr)\n116\t try: # contrôle qualité des images, par lots incrémentaux\n117\t from . import imgcheck\n118\t imgcheck.run(1500)\n119\t except Exception as exc:\n120\t print(f\"[lou-ka] imgcheck: erreur non bloquante: {exc}\", file=sys.stderr)\n121\t try: # déduplication inter-sources (APRÈS géocodage : coords requises)\n122\t from . import dedup\n123\t stats = dedup.run()\n124\t print(f\"[lou-ka] dedup: {stats}\")\n125\t except Exception as exc:\n126\t print(f\"[lou-ka] dedup: erreur non bloquante: {exc}\", file=sys.stderr)\n127\t try: # passeport des immeubles — après dedup (utilise dup_of + adresse)\n128\t from . import building\n129\t stats_b = building.rollup()\n130\t print(f\"[lou-ka] immeubles: {stats_b}\")\n131\t except Exception as exc:\n132\t print(f\"[lou-ka] immeubles: erreur non bloquante: {exc}\", file=sys.stderr)\n133\t try: # juste valeur locative (fair value) — après dedup/geocode/quality\n134\t from . import fairvalue\n135\t fairvalue.compute_all()\n136\t except Exception as exc:\n137\t print(f\"[lou-ka] fairvalue: erreur non bloquante: {exc}\", file=sys.stderr)\n138\t try: # environnement OSM (nouvelles tuiles seulement) + KA Scores\n139\t # incrémentaux des nouveaux immeubles — après géocodage\n140\t from . import environment, kascores\n141\t environment.run(limit=4)\n142\t stats_ks = kascores.run()\n143\t print(f\"[lou-ka] kascores: {stats_ks}\")\n144\t except Exception as exc:\n145\t print(f\"[lou-ka] kascores: erreur non bloquante: {exc}\", file=sys.stderr)\n146\t try: # estimation Hydro-Québec des nouvelles annonces (cache persistant, coût borné)\n147\t from . import hydro\n148\t hydro.precompute(limit=100, budget=30)\n149\t except Exception as exc:\n150\t print(f\"[lou-ka] hydro: erreur non bloquante: {exc}\", file=sys.stderr)\n151\t try: # historique TAL (SOQUIJ) par adresse — file des fiches d'abord,\n152\t # puis backfill des adresses jamais vérifiées (coût borné)\n153\t from . import tal\n154\t tal.precompute(limit=60, budget=600)\n155\t except Exception as exc:\n156\t print(f\"[lou-ka] tal: erreur non bloquante: {exc}\", file=sys.stderr)\n157\t try: # gestionnaires : résolution Google Maps + avis (SerpApi,\n158\t # serveur seulement, budget borné ; sauté sans SERPAPI_API_KEY)\n159\t from . import managers\n160\t stats_m = managers.precompute(budget_s=120)\n161\t print(f\"[lou-ka] gestionnaires: {stats_m}\")\n162\t except Exception as exc:\n163\t print(f\"[lou-ka] gestionnaires: erreur non bloquante: {exc}\",\n164\t file=sys.stderr)\n165\t print(f\"[lou-ka] prochaine synchronisation dans {interval_seconds}s\")\n166\t time.sleep(interval_seconds)\n167\t\n168\t\n169\tif __name__ == \"__main__\":\n170\t run(sys.argv[1:] or None)\n171\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fa9d4558-bf28-44f6-b195-9e16742e5318","timestamp":"2026-08-25T15:17:29.839Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -50 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":33110,"tool_uses":22,"duration_ms":18374},"last_tool_name":"Bash","uuid":"81ae6943-ed52-4ef9-a41d-5011d19a9f70","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvDxcR2NxTNAStGxA3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WupGAPbrX2HdYCvVFKPrsS","name":"Bash","input":{"command":"head -50 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/zumper.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2982,"cache_read_input_tokens":30045,"cache_creation":{"ephemeral_5m_input_tokens":2982,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6db74d29-ee63-4949-857b-60c1bbf17b11"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WupGAPbrX2HdYCvVFKPrsS","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/zumper.py : Zumper (zumper.com) — portail locatif nord-américain,\n# filtré PROVINCE DE QUÉBEC, en DIRECT (aucun proxy payant).\n# API JSON interne (celle du site) :\n# 1. GET /api/t/1/bundle → cookie `csrftoken` + jeton `csrf`\n# 2. POST /api/t/1/pages/listables → annonces par bbox (en-tête\n# `x-csrftoken`) ; paginé offset/limit, réponse = groupes « immeuble »\n# (fourchettes prix/chambres) et pads individuels, champ `state` filtrable\n# 3. GET /api/t/1/buildings/{id} → fiche immeuble : description,\n# `floorplan_listings` = TOUTES les unités (prix, chambres, sdb, pi²,\n# disponibilité) — 1 requête par immeuble, mise en cache BD et invalidée\n# par `modified_on` (le champ bouge quand l'inventaire change).\n# Photos : https://img.zumpercdn.com/{media_id}/1280x960 (vérifié 2026-08-18).\n# ⚠️ Le HTML du site est derrière un « Client Challenge » JS, mais l'API\n# répond en direct avec des en-têtes navigateur + le rituel CSRF ci-dessus.\n# Un 429 ponctuel = throttling : une seule reprise après pause, sinon on\n# laisse le disjoncteur d'ingestion faire son travail.\n# ⚠️ PadMapper (padmapper.com) = MÊME compagnie et MÊME API (`/api/t/1/…`,\n# mêmes listing_id — vérifié 100/100 identiques sur Montréal 2026-08-18) :\n# un seul connecteur suffit, `padmapper` reste dans PORTALS (dédup) au cas où.\n# Recherche par bbox métropolitaines (le slug de ville est fragile, ex.\n# « quebec-city-qc » ne matche rien) + filtre state == QC (Ottawa exclu).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport time\n\nfrom ..schema import Listing\nfrom .base import BaseConnector\n\nBASE = \"https://www.zumper.com\"\nBUNDLE_URL = f\"{BASE}/api/t/1/bundle\"\nLISTABLES_URL = f\"{BASE}/api/t/1/pages/listables\"\nBUILDING_URL = f\"{BASE}/api/t/1/buildings/{{}}\"\nLISTING_URL = f\"{BASE}/api/t/1/listings/{{}}\"\nIMG_URL = \"https://img.zumpercdn.com/{}/1280x960\"\n\n# bbox des régions QC couvertes : nom -> (minLat, maxLat, minLng, maxLng)\n# surchargeable : LOUKA_ZUMPER_REGIONS=\"nom:minLat,maxLat,minLng,maxLng;…\"\n_DEFAULT_REGIONS = {\n \"montreal\": (45.30, 45.80, -74.10, -73.20), # inclut Laval/Longueuil\n \"quebec-levis\": (46.65, 47.00, -71.55, -71.00),\n \"gatineau\": (45.35, 45.75, -76.10, -75.40), # state==QC exclut Ottawa\n \"sherbrooke\": (45.25, 45.55, -72.10, -71.70),\n \"trois-rivieres\": (46.25, 46.50, -72.75, -72.40),\n \"saguenay\": (48.30, 48.55, -71.35, -70.90),","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bd1c3daa-50ba-4fb6-a2fc-e9243cacc672","timestamp":"2026-08-25T15:17:31.470Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -50 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":33112,"tool_uses":23,"duration_ms":18696},"last_tool_name":"Bash","uuid":"1ac6f042-2af3-497a-8ea9-94e7b3bd8610","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvDxcR2NxTNAStGxA3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QBXUwhMnuynMe2qBcwwqm1","name":"Bash","input":{"command":"head -50 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/oxford.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2982,"cache_read_input_tokens":30045,"cache_creation":{"ephemeral_5m_input_tokens":2982,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a5b719d4-aec7-4d0c-9e0f-d19a0aa53b29"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QBXUwhMnuynMe2qBcwwqm1","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/oxford.py : connecteur Appartements Oxford (appartoxford.com)\n# Complexe locatif de Lennoxville (Sherbrooke), près de l'Université\n# Bishop's. WordPress + Elementor : une fiche par TYPE d'unité (2½ tout\n# inclus, 3½, 4½, 5½), listées dans le menu « Logements » de la page\n# d'accueil. Chaque fiche affiche le prix (« À partir de 760$ / par mois »)\n# et, seulement quand des unités sont libres, un encart de disponibilité\n# (« 1 unité disponible 1er octobre 2026 », widget Elementor à visibilité\n# conditionnelle) : les fiches SANS cet encart ne sont pas des annonces\n# courantes et sont écartées. Caractéristiques (listes à pictos), description\n# et galerie extraites de la fiche. Peu de requêtes (accueil + ~4 fiches) :\n# pas de cache détail nécessaire — la disponibilité doit être relue à chaque\n# synchronisation.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re\n\nfrom urllib.parse import unquote\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type\nfrom .base import BaseConnector\n\nBASE = \"https://appartoxford.com\"\n\n# variantes redimensionnées WordPress -> pleine taille\n_SIZE_SUFFIX = re.compile(r\"-\\d{2,4}x\\d{2,4}(?=\\.(?:jpg|jpeg|png|webp)$)\", re.I)\n\n# « 1 unité disponible 1er octobre 2026 » / « 2 unités disponibles maintenant »\n_AVAIL_RE = re.compile(r\"(\\d+|une?)\\s+unit[ée]s?\\s+disponibles?\\b\", re.I)\n_NO_AVAIL_RE = re.compile(r\"aucune\\s+unit[ée]\", re.I)\n\n# bruit d'en-tête dans les listes à pictos (coordonnées du site)\n_HEADER_NOISE_RE = re.compile(r\"\\+?1?\\s?8\\d{2}[-\\s]\\d{3}|Lennoxville,\\s*Sherbrooke\",\n re.I)\n\n_MAX_FICHES = 12 # garde-fou (le menu compte ~4 fiches)\n\n\ndef _clean_unit_type(raw: str) -> str:\n ut = normalize_unit_type(raw or \"\")\n if re.fullmatch(r\"\\d½\\+?|6½\\+|Studio|Loft|Chambre|Maison\", ut or \"\"):\n return ut\n return \"\"","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"db51c93b-f008-40b6-a086-86a31438bb3f","timestamp":"2026-08-25T15:17:31.794Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running grep -r \"court terme\\|nuit\\|chalet\\|airbnb\\|short…","usage":{"total_tokens":33114,"tool_uses":24,"duration_ms":19186},"last_tool_name":"Bash","uuid":"2512bb8e-0e2e-40c1-98e6-5fab9be2885f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvDxcR2NxTNAStGxA3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DCiGDKAkyjd9pkqCvnnaxp","name":"Bash","input":{"command":"grep -r \"court terme\\|nuit\\|chalet\\|airbnb\\|short\" /Users/simon-pierreboucher/apps/lou-ka/louka/*.py --include=\"*.py\" | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2982,"cache_read_input_tokens":30045,"cache_creation":{"ephemeral_5m_input_tokens":2982,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1b4695b0-c9c1-455e-8f11-80c926a93297"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DCiGDKAkyjd9pkqCvnnaxp","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/louka/environment.py:# · aéroports/héliports, zones industrielles, bars/boîtes de nuit ;\n/Users/simon-pierreboucher/apps/lou-ka/louka/fairvalue.py:# prix affiché non mensuel (semaine/jour/nuit) : l'écart serait trompeur\n/Users/simon-pierreboucher/apps/lou-ka/louka/fairvalue.py: r\"(/\\s*sem|par\\s+sem|semaine|hebdo|/\\s*jour|par\\s+jour|/\\s*nuit|\"\n/Users/simon-pierreboucher/apps/lou-ka/louka/fairvalue.py: r\"par\\s+nuit|/\\s*wk|/\\s*week\\b|weekly|/\\s*night|nightly|/\\s*day\\b)\",\n/Users/simon-pierreboucher/apps/lou-ka/louka/fairvalue.py: # prix à la semaine/nuit rangé comme mensuel : EXCLU du jeu de\n/Users/simon-pierreboucher/apps/lou-ka/louka/normalize.py: if not re.search(r\"salon|lounge|piscine|gym|terrasse|rooftop|chalet|spa\", it)]\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py:# commerciaux, objets divers ou locations à la nuit — souvent à ~200 $/mois.\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: r\"logement|logis\\b|r[ée]sidences?\\b|chalet|penthouse|duplex|triplex|\"\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py:# location à la nuit / courte durée (le « loyer » n'est pas un prix mensuel)\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: r\"tarif par nuit|prix par nuit|par nuit et non par mois|\"\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: r\"location à la nuit|court terme seulement\", re.I)\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: objet divers, location à la nuit), sinon None.\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: # 6) prix à la nuit / courte durée affiché comme loyer mensuel\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: return \"hors sujet : location à la nuit / court terme\"\n/Users/simon-pierreboucher/apps/lou-ka/louka/quality.py: # (0,02 $, 1 $, prix « à la nuit »…) — traité comme absence de prix\n/Users/simon-pierreboucher/apps/lou-ka/louka/seo.py:from .shortterm import db as ctdb\n/Users/simon-pierreboucher/apps/lou-ka/louka/seo.py:# --- Court terme (chalets & hébergements à la nuit) ---------------------------\n/Users/simon-pierreboucher/apps/lou-ka/louka/seo.py:# bornes de plausibilité d'un prix à la nuit\n/Users/simon-pierreboucher/apps/lou-ka/louka/seo.py: f\"{_fmt_price(r['price_night'])}/nuit\" if _ct_price_ok(r[\"price_night\"]) else \"\",\n/Users/simon-pierreboucher/apps/lou-ka/louka/seo.py: title = (f\"Location court terme au Québec — {total:,} chalets et hébergements\"","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5ab2b107-4249-4203-bcc0-8cc00838af00","timestamp":"2026-08-25T15:17:32.322Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading louka/shortterm/ingest.py","usage":{"total_tokens":36362,"tool_uses":25,"duration_ms":20570},"last_tool_name":"Read","uuid":"4b743fa1-5d2e-4475-b6a4-9f4e8877f5bc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvQaaffDgnVvoUZMyF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzSaxH3vvshket55d95vC8","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/ingest.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3242,"cache_read_input_tokens":33027,"cache_creation":{"ephemeral_5m_input_tokens":3242,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2f0529f8-73f7-487f-bf6a-6724468f1187"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzSaxH3vvshket55d95vC8","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Location court terme\n3\t# ingest.py : pipeline d'ingestion court terme — exécute les connecteurs\n4\t# court terme et synchronise la base séparée (louka_ct.db).\n5\t# -----------------------------------------------------------------------------\n6\tfrom __future__ import annotations\n7\t\n8\timport sys\n9\timport time\n10\timport traceback\n11\t\n12\tfrom . import db\n13\tfrom .connectors import ST_CONNECTORS\n14\t\n15\tBREAKER_FAILS = 5\n16\tBREAKER_RETRY_EVERY = 5\n17\t\n18\t\n19\tdef _consecutive_failures(con, source: str) -> int:\n20\t rows = con.execute(\n21\t \"SELECT ok FROM st_sync_log WHERE source=? ORDER BY ts DESC LIMIT 60\",\n22\t (source,)).fetchall()\n23\t n = 0\n24\t for r in rows:\n25\t if r[\"ok\"]:\n26\t break\n27\t n += 1\n28\t return n\n29\t\n30\t\n31\tdef run(sources: list[str] | None = None) -> list[dict]:\n32\t \"\"\"Exécute l'ingestion court terme (toutes les sources ou celles demandées).\"\"\"\n33\t con = db.connect()\n34\t results = []\n35\t explicit = sources is not None\n36\t targets = sources or list(ST_CONNECTORS.keys())\n37\t for sid in targets:\n38\t cls = ST_CONNECTORS.get(sid)\n39\t if cls is None:\n40\t print(f\"[lou-ka/ct] connecteur inconnu : {sid}\", file=sys.stderr)\n41\t continue\n42\t if not explicit:\n43\t fails = _consecutive_failures(con, sid)\n44\t if fails >= BREAKER_FAILS and fails % BREAKER_RETRY_EVERY != 0:\n45\t print(f\"[lou-ka/ct] {sid} sauté (disjoncteur : {fails} échecs)\")\n46\t db.log_failure(con, sid, f\"disjoncteur: sauté ({fails} échecs)\")\n47\t results.append({\"source\": sid, \"skipped\": True, \"fails\": fails})\n48\t continue\n49\t t0 = time.time()\n50\t print(f\"[lou-ka/ct] sync {sid} ...\")\n51\t try:\n52\t listings = cls().fetch()\n53\t finalized, dropped = [], 0\n54\t for lst in listings:\n55\t try:\n56\t if not (lst.url and lst.title):\n57\t dropped += 1\n58\t continue\n59\t finalized.append(lst.finalize())\n60\t except Exception:\n61\t dropped += 1\n62\t stats = db.sync_source(con, sid, finalized)\n63\t stats[\"seconds\"] = round(time.time() - t0, 1)\n64\t if dropped:\n65\t stats[\"dropped\"] = dropped\n66\t print(f\"[lou-ka/ct] {stats}\")\n67\t results.append(stats)\n68\t except Exception as exc:\n69\t db.log_failure(con, sid, f\"{exc}\")\n70\t traceback.print_exc()\n71\t results.append({\"source\": sid, \"error\": str(exc)})\n72\t con.close()\n73\t return results\n74\t\n75\t\n76\tdef watch(interval_seconds: int = 6 * 3600) -> None:\n77\t \"\"\"Boucle de rafraîchissement périodique (défaut : 6 h — l'inventaire\n78\t court terme bouge moins vite que les logements au mois).\"\"\"\n79\t while True:\n80\t run()\n81\t print(f\"[lou-ka/ct] prochaine synchronisation dans {interval_seconds}s\")\n82\t time.sleep(interval_seconds)\n83\t\n84\t\n85\tif __name__ == \"__main__\":\n86\t run(sys.argv[1:] or None)\n87\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a24ea96e-82b9-4527-acf1-2cd85d72bffb","timestamp":"2026-08-25T15:17:33.643Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":36365,"tool_uses":26,"duration_ms":20742},"last_tool_name":"Read","uuid":"bf5be984-cd68-45ac-be10-6554bc640622","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015oA2yhfEAie1xeBfX1xKBe","type":"tool_result","content":"1\t# -----------------------------------------------------------------------------\n2\t# Lou-Ka — Location court terme\n3\t# schema.py : modèle standardisé d'un hébergement court terme (StListing)\n4\t# -----------------------------------------------------------------------------\n5\t\"\"\"Schéma standard d'un hébergement court terme.\n6\t\n7\tChaque connecteur court terme produit des objets `StListing`. `finalize()`\n8\tapplique la normalisation commune (prix à la nuit, région touristique,\n9\tcommodités dérivées, bornes géographiques du Québec).\n10\t\"\"\"\n11\tfrom __future__ import annotations\n12\t\n13\timport hashlib\n14\timport html as _html\n15\timport json\n16\timport re\n17\tfrom dataclasses import dataclass, field, asdict\n18\t\n19\tfrom ..normalize import strip_accents\n20\t\n21\t# Types canoniques d'hébergement (affichage + filtre)\n22\tPROPERTY_TYPES = [\n23\t \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n24\t \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n25\t \"Refuge\", \"Camping\", \"Autre\",\n26\t]\n27\t\n28\t# Régions touristiques du Québec (canoniques)\n29\tREGIONS = [\n30\t \"Abitibi-Témiscamingue\", \"Bas-Saint-Laurent\", \"Cantons-de-l'Est\",\n31\t \"Centre-du-Québec\", \"Charlevoix\", \"Chaudière-Appalaches\", \"Côte-Nord\",\n32\t \"Eeyou Istchee Baie-James\", \"Gaspésie\", \"Îles-de-la-Madeleine\",\n33\t \"Lanaudière\", \"Laurentides\", \"Laval\", \"Mauricie\", \"Montérégie\",\n34\t \"Montréal\", \"Nord-du-Québec\", \"Nunavik\", \"Outaouais\", \"Québec\",\n35\t \"Saguenay–Lac-Saint-Jean\",\n36\t]\n37\t\n38\t_REGION_KEYS = {strip_accents(r).lower().replace(\"–\", \"-\").replace(\"'\", \"\"): r\n39\t for r in REGIONS}\n40\t_REGION_ALIASES = {\n41\t \"estrie\": \"Cantons-de-l'Est\",\n42\t \"cantons de lest\": \"Cantons-de-l'Est\",\n43\t \"saguenay\": \"Saguenay–Lac-Saint-Jean\",\n44\t \"lac saint jean\": \"Saguenay–Lac-Saint-Jean\",\n45\t \"lac-saint-jean\": \"Saguenay–Lac-Saint-Jean\",\n46\t \"region de quebec\": \"Québec\",\n47\t \"ville de quebec\": \"Québec\",\n48\t \"capitale nationale\": \"Québec\",\n49\t \"grand montreal\": \"Montréal\",\n50\t \"iles de la madeleine\": \"Îles-de-la-Madeleine\",\n51\t \"baie james\": \"Eeyou Istchee Baie-James\",\n52\t}\n53\t\n54\t\n55\tdef normalize_region(raw: str) -> str:\n56\t \"\"\"Ramène un libellé de région libre vers la forme canonique (\"\" si inconnu).\"\"\"\n57\t if not raw:\n58\t return \"\"\n59\t key = strip_accents(raw).lower().strip()\n60\t key = re.sub(r\"[–—]\", \"-\", key).replace(\"'\", \"\").replace(\"’\", \"\")\n61\t key = re.sub(r\"\\s+\", \" \", key)\n62\t if key in _REGION_ALIASES:\n63\t return _REGION_ALIASES[key]\n64\t k2 = key.replace(\" \", \"-\")\n65\t if k2 in _REGION_KEYS:\n66\t return _REGION_KEYS[k2]\n67\t if key in _REGION_KEYS:\n68\t return _REGION_KEYS[key]\n69\t for rk, canon in _REGION_KEYS.items():\n70\t if rk.replace(\"-\", \" \") == key.replace(\"-\", \" \"):\n71\t return canon\n72\t return raw.strip()\n73\t\n74\t\n75\t_PRICE_RE = re.compile(r\"(\\d[\\d\\s,.  ]*)\\s*\\$\")\n76\t\n77\t\n78\tdef parse_price_night(label: str) -> float | None:\n79\t \"\"\"Extrait un prix à la nuit d'un libellé (« 189 $ / nuit », « à partir de 250$ »).\"\"\"\n80\t if not label:\n81\t return None\n82\t m = _PRICE_RE.search(label)\n83\t if not m:\n84\t return None\n85\t raw = re.sub(r\"[\\s  ]\", \"\", m.group(1))\n86\t # « 1,250.00 » vs « 1 250,00 » : la dernière ponctuation est la décimale\n87\t if \",\" in raw and \".\" in raw:\n88\t raw = raw.replace(\",\", \"\") if raw.rfind(\".\") > raw.rfind(\",\") \\\n89\t else raw.replace(\".\", \"\").replace(\",\", \".\")\n90\t elif \",\" in raw:\n91\t head, _, tail = raw.rpartition(\",\")\n92\t raw = f\"{head.replace(',', '')}.{tail}\" if len(tail) == 2 else raw.replace(\",\", \"\")\n93\t try:\n94\t val = float(raw)\n95\t except ValueError:\n96\t return None\n97\t lab = strip_accents(label).lower()\n98\t if \"sem\" in lab or \"/wk\" in lab or \"week\" in lab: # prix à la semaine\n99\t return round(val / 7, 2)\n100\t if \"mois\" in lab or \"month\" in lab: # prix mensuel : hors sujet ici\n101\t return None\n102\t return val if 20 <= val <= 20000 else None\n103\t\n104\t\n105\t_AMEN_FLAGS = {\n106\t \"spa\": (\"spa\", \"jacuzzi\", \"hot tub\", \"bain a remous\", \"bain tourbillon\"),\n107\t \"pool\": (\"piscine\", \"pool\"),\n108\t \"waterfront\": (\"bord de l'eau\", \"bord de leau\", \"bord du lac\", \"acces au lac\",\n109\t \"acces lac\", \"waterfront\", \"lakefront\", \"riverain\",\n110\t \"bord de riviere\", \"bord du fleuve\", \"plage privee\"),\n111\t \"sauna\": (\"sauna\",),\n112\t \"wifi\": (\"wifi\", \"wi-fi\", \"internet\"),\n113\t \"fireplace\": (\"foyer\", \"fireplace\", \"poele a bois\"),\n114\t \"ev_charger\": (\"borne\", \"recharge electrique\", \"ev charg\"),\n115\t}\n116\t\n117\t\n118\t@dataclass\n119\tclass StListing:\n120\t \"\"\"Hébergement court terme standardisé Lou-Ka.\"\"\"\n121\t\n122\t source: str # id de la source (data/sources_ct.json)\n123\t external_id: str # identifiant chez la source\n124\t url: str # page de l'annonce chez la source\n125\t title: str = \"\"\n126\t property_type: str = \"\" # voir PROPERTY_TYPES\n127\t address: str = \"\"\n128\t city: str = \"\" # municipalité (ex. Saint-Sauveur)\n129\t region: str = \"\" # région touristique (ex. Laurentides)\n130\t price_night: float | None = None # $ CAD / nuit (le plus bas si « à partir de »)\n131\t price_label: str = \"\" # texte original (« à partir de 189 $/nuit »)\n132\t capacity: float | None = None # nombre de personnes\n133\t bedrooms: float | None = None\n134\t beds: float | None = None\n135\t bathrooms: float | None = None\n136\t pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n137\t citq: str = \"\" # numéro d'établissement CITQ si affiché\n138\t rating: float | None = None # note (normalisée sur 5)\n139\t reviews: int | None = None # nombre d'avis\n140\t description: str = \"\"\n141\t amenities: list[str] = field(default_factory=list)\n142\t details: dict = field(default_factory=dict) # drapeaux (spa, pool…) + libres\n143\t images: list[str] = field(default_factory=list)\n144\t lat: float | None = None\n145\t lng: float | None = None\n146\t\n147\t @property\n148\t def uid(self) -> str:\n149\t return f\"{self.source}:{self.external_id}\"\n150\t\n151\t def content_hash(self) -> str:\n152\t blob = json.dumps(asdict(self), sort_keys=True, ensure_ascii=False)\n153\t return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n154\t\n155\t def finalize(self) -> \"StListing\":\n156\t \"\"\"Normalisation commune — idempotente, ne remplace jamais une valeur\n157\t explicite du connecteur.\"\"\"\n158\t self.title = _html.unescape(self.title or \"\").strip()\n159\t self.address = _html.unescape(self.address or \"\").strip()\n160\t self.city = _html.unescape(self.city or \"\").strip()\n161\t self.region = normalize_region(self.region)\n162\t if self.property_type:\n163\t pt = self.property_type.strip().capitalize()\n164\t canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n165\t self.property_type = canon.get(strip_accents(pt).lower(), pt)\n166\t\n167\t if self.price_night is None:\n168\t self.price_night = parse_price_night(self.price_label)\n169\t if self.price_night is not None and not (20 <= self.price_night <= 20000):\n170\t self.price_night = None\n171\t\n172\t # bornes du Québec : rejeter coordonnées aberrantes (0/0, inversées…)\n173\t if self.lat is not None and self.lng is not None:\n174\t if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n175\t self.lat = self.lng = None\n176\t\n177\t # drapeaux dérivés des commodités + description (pour les filtres)\n178\t haystack = strip_accents(\" | \".join(self.amenities) + \" | \"\n179\t + self.description[:2000]).lower()\n180\t for flag, needles in _AMEN_FLAGS.items():\n181\t if flag not in self.details and any(n in haystack for n in needles):\n182\t self.details[flag] = True\n183\t if self.pets is None:\n184\t if re.search(r\"animaux (acceptes|admis|bienvenus)|pet friendly|\"\n185\t r\"chiens? (acceptes?|admis|bienvenus?)\", haystack):\n186\t self.pets = \"oui\"\n187\t elif re.search(r\"(pas d|aucun|non aux) animaux|animaux (non admis|\"\n188\t r\"interdits|refuses)|no pets\", haystack):\n189\t self.pets = \"non\"\n190\t if not self.citq:\n191\t m = re.search(r\"citq\\D{0,12}(\\d{6})\", haystack)\n192\t if m:\n193\t self.citq = m.group(1)\n194\t # note sur 10 (Booking) → sur 5\n195\t if self.rating is not None and self.rating > 5.01:\n196\t self.rating = round(self.rating / 2, 2)\n197\t return self\n198\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3bfa7fe8-d9d7-4980-9304-592e1086635b","timestamp":"2026-08-25T15:17:33.819Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -100 /Users/simon-pierreboucher/apps/lou-ka/…","usage":{"total_tokens":41020,"tool_uses":27,"duration_ms":22366},"last_tool_name":"Bash","uuid":"cfad0d0f-0c92-42fa-8955-ce9db7202bb0","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvWscApdLkspdyJgTh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0125iRLvAaQzDZVhDgUoAjkR","name":"Bash","input":{"command":"head -100 /Users/simon-pierreboucher/apps/lou-ka/louka/web.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":4651,"cache_read_input_tokens":36269,"cache_creation":{"ephemeral_5m_input_tokens":4651,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f6fe5d0e-ad3a-435b-847d-32bda8ce6868"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0125iRLvAaQzDZVhDgUoAjkR","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, RedirectResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, ingest\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# section « Location court terme » — sous-système isolé (louka/shortterm/)\nfrom .shortterm import web as ct_web # noqa: E402\napp.include_router(ct_web.router)\n\n# annuaire des déménageurs du Québec — page partagée avec Immo-Ka\nfrom . import demenageurs # noqa: E402\napp.include_router(demenageurs.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"eccf501c-91eb-42a8-b9bf-6f848921f5b4","timestamp":"2026-08-25T15:17:35.464Z"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015YDVEVF5cxuy7SjSFJnctR","type":"tool_result","content":"1\t// -----------------------------------------------------------------------------\n2\t// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n3\t// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n4\t// pages/Listing.tsx : fiche d'un logement — refonte mobile-first\n5\t// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n6\t// « Ordre des sections — pages détail ») : galerie → prix + badge marché +\n7\t// adresse + chips → CTA/PDF → description → inclusions → détails pratiques →\n8\t// analyse de prix → emplacement → KA Scores → quartier → à proximité.\n9\t// Mobile : colonnes empilées ; desktop : grid 2 colonnes (col A | col B).\n10\t// Interdit : réordonner via `order` / `column-reverse` (bug fiche v2 où les\n11\t// blocs sans `order` passaient devant la galerie sur mobile).\n12\t// -----------------------------------------------------------------------------\n13\timport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\n14\timport { Link, useParams } from \"react-router-dom\";\n15\timport { Listing, fetchListing, fetchSources, fmtAvailability, fmtDist, fmtPrice, registerSourceNames, sourceName } from \"../api\";\n16\timport QuartierBlock from \"../components/QuartierBlock\";\n17\timport SmartImg from \"../components/SmartImg\";\n18\timport FairValueBadge from \"../components/FairValueBadge\";\n19\timport PriceAnalysis from \"../components/PriceAnalysis\";\n20\timport HistoriqueTAL from \"../components/HistoriqueTAL\";\n21\timport RegistreLoyers from \"../components/RegistreLoyers\";\n22\timport RisqueInondation from \"../components/RisqueInondation\";\n23\timport QualiteAir from \"../components/QualiteAir\";\n24\timport EssenceProche from \"../components/EssenceProche\";\n25\timport HydroEstimation from \"../components/HydroEstimation\";\n26\timport CommercesProches from \"../components/CommercesProches\";\n27\timport CoutReel from \"../components/CoutReel\";\n28\timport HistoriqueLouka from \"../components/HistoriqueLouka\";\n29\timport ImmeubleBloc from \"../components/ImmeubleBloc\";\n30\timport GestionnaireBloc from \"../components/GestionnaireBloc\";\n31\timport HiverScore from \"../components/HiverScore\";\n32\timport { IcoAlert, IcoDoc } from \"../components/Icons\";\n33\timport KaScoresBlock from \"../components/KaScoresBlock\";\n34\timport { markSeen } from \"../search/seen\";\n35\t\n36\t// Mini-carte 3D (Mapbox) — chargée paresseusement, comme la grande carte.\n37\tconst ListingMap3D = lazy(() => import(\"../components/ListingMap3D\"));\n38\t\n39\t// Icônes et libellés des commodités de proximité (louka/poi.py)\n40\tconst POI_META: Record = {\n41\t epicerie: { icon: \"🛒\", label: \"Épicerie\" },\n42\t depanneur: { icon: \"🏪\", label: \"Dépanneur\" },\n43\t pharmacie: { icon: \"💊\", label: \"Pharmacie\" },\n44\t ecole: { icon: \"🏫\", label: \"École\" },\n45\t garderie: { icon: \"🧸\", label: \"Garderie\" },\n46\t parc: { icon: \"🌳\", label: \"Parc\" },\n47\t bus: { icon: \"🚌\", label: \"Bus\" },\n48\t metro: { icon: \"🚇\", label: \"Métro\" },\n49\t gym: { icon: \"🏋️\", label: \"Gym\" },\n50\t cafe: { icon: \"☕\", label: \"Café\" },\n51\t clinique: { icon: \"🩺\", label: \"Clinique\" },\n52\t hopital: { icon: \"🏥\", label: \"Hôpital\" },\n53\t bibliotheque: { icon: \"📚\", label: \"Bibliothèque\" },\n54\t};\n55\t\n56\t// Regroupement des POI en catégories repliables\n57\tconst POI_GROUPES: { titre: string; icone: string; cats: string[] }[] = [\n58\t { titre: \"Courses\", icone: \"🛒\", cats: [\"epicerie\", \"depanneur\"] },\n59\t { titre: \"Transport\", icone: \"🚌\", cats: [\"bus\", \"metro\"] },\n60\t { titre: \"Études et famille\", icone: \"🎓\", cats: [\"ecole\", \"garderie\", \"bibliotheque\"] },\n61\t { titre: \"Santé\", icone: \"🏥\", cats: [\"pharmacie\", \"clinique\", \"hopital\"] },\n62\t { titre: \"Vie de quartier\", icone: \"☕\", cats: [\"cafe\", \"parc\", \"gym\"] },\n63\t];\n64\t\n65\t// Badge « prix vs marché » — seuils configurables\n66\tconst SEUILS_MARCHE = { bonDeal: -0.15, dansLeMarche: 0.10 };\n67\t\n68\tconst PETS_LABEL: Record = {\n69\t oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n70\t};\n71\t\n72\tconst NBSP = \" \";\n73\t\n74\t/** ≈ minutes de marche (vol d'oiseau × facteur de détour 1,3, 4,8 km/h) */\n75\tconst fmtMarche = (m: number): string =>\n76\t `≈${NBSP}${Math.max(1, Math.round((m * 1.3) / 80))}${NBSP}min à pied`;\n77\t\n78\tfunction badgeMarche(price: number | null | undefined,\n79\t loyerSecteur: number | null | undefined) {\n80\t if (price == null || loyerSecteur == null || loyerSecteur <= 0) return null;\n81\t const delta = (price - loyerSecteur) / loyerSecteur;\n82\t const pct = `${delta > 0 ? \"+\" : \"−\"}${Math.abs(Math.round(delta * 100))}${NBSP}%`;\n83\t if (delta <= SEUILS_MARCHE.bonDeal)\n84\t return { cls: \"deal-good\", txt: `${pct} vs le secteur · Bon deal 🔥` };\n85\t if (delta <= SEUILS_MARCHE.dansLeMarche)\n86\t return { cls: \"deal-ok\", txt: `${pct} vs le secteur · Dans le marché` };\n87\t return { cls: \"deal-high\", txt: `${pct} vs le secteur · Au-dessus du marché` };\n88\t}\n89\t\n90\t/** Badges dérivés des détails structurés (inclusions confirmées ✓). */\n91\tfunction badgesConfirmes(l: Listing): string[] {\n92\t const d = l.details ?? {};\n93\t const out: string[] = [];\n94\t const inc = d.inclusions ?? {};\n95\t if (inc.heating) out.push(\"Chauffage inclus\");\n96\t if (inc.electricity) out.push(\"Électricité incluse\");\n97\t if (inc.hot_water) out.push(\"Eau chaude incluse\");\n98\t if (inc.internet) out.push(\"Internet inclus\");\n99\t const app = d.appliances ?? {};\n100\t if (app.dishwasher) out.push(\"Lave-vaisselle\");\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2917d870-864f-4d9b-a015-b9c67227812f","timestamp":"2026-08-25T15:17:35.871Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading frontend/src/pages/CourtTermeFiche.tsx","usage":{"total_tokens":44619,"tool_uses":29,"duration_ms":24740},"last_tool_name":"Read","uuid":"a639f20a-f5b9-4261-a017-41202f119d7d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvfewWc8PKCpDGUZ9a","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WAtuzbHANAbaY9FSsVgfYC","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","limit":120},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3593,"cache_read_input_tokens":40920,"cache_creation":{"ephemeral_5m_input_tokens":3593,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"aa058ba3-416d-490b-ad9d-e68b9b95f873"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WAtuzbHANAbaY9FSsVgfYC","type":"tool_result","content":"1\t// -----------------------------------------------------------------------------\n2\t// Lou-Ka — Location court terme\n3\t// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n4\t// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n5\t// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n6\t// CTA → description → commodités → détails pratiques → carte.\n7\t// -----------------------------------------------------------------------------\n8\timport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\n9\timport { Link, useParams } from \"react-router-dom\";\n10\timport {\n11\t CtListing, ctSourceName, fetchCtListing, fetchCtSources, fmtNight,\n12\t registerCtSourceNames,\n13\t} from \"../ctapi\";\n14\timport SmartImg from \"../components/SmartImg\";\n15\timport { IcoAlert } from \"../components/Icons\";\n16\t\n17\tconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n18\t\n19\tconst NBSP = \" \";\n20\t\n21\tconst PETS_LABEL: Record = {\n22\t oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n23\t};\n24\t\n25\tconst DETAIL_LABELS: Record = {\n26\t spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n27\t wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n28\t};\n29\t\n30\tfunction Galerie({ images, titre, typeLabel }:\n31\t { images: string[]; titre: string; typeLabel?: string }) {\n32\t const [idx, setIdx] = useState(0);\n33\t const track = useRef(null);\n34\t\n35\t const onScroll = () => {\n36\t const el = track.current;\n37\t if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n38\t };\n39\t const goto = (i: number) =>\n40\t track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n41\t\n42\t if (images.length === 0)\n43\t return (\n44\t
\n45\t \n47\t
\n48\t );\n49\t\n50\t return (\n51\t <>\n52\t
\n53\t
\n54\t {images.map((u, i) => (\n55\t \n60\t ))}\n61\t
\n62\t {idx + 1}/{images.length}\n63\t {idx > 0 && (\n64\t \n65\t )}\n66\t {idx < images.length - 1 && (\n67\t \n68\t )}\n69\t
\n70\t {images.length > 1 && (\n71\t
\n72\t {images.map((u, i) => (\n73\t \n77\t ))}\n78\t
\n79\t )}\n80\t \n81\t );\n82\t}\n83\t\n84\texport default function CourtTermeFichePage() {\n85\t const { uid } = useParams<{ uid: string }>();\n86\t const [l, setL] = useState(null);\n87\t const [error, setError] = useState(null);\n88\t\n89\t useEffect(() => {\n90\t fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n91\t if (!uid) return;\n92\t fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n93\t window.scrollTo(0, 0);\n94\t }, [uid]);\n95\t\n96\t if (error)\n97\t return (\n98\t
\n99\t
\n100\t

Hébergement introuvable

\n101\t

{error}

\n102\t Retour au court terme\n103\t
\n104\t );\n105\t\n106\t if (!l)\n107\t return (\n108\t
\n109\t
\n110\t
\n111\t
\n112\t
\n113\t
\n114\t );\n115\t\n116\t const chips: string[] = [];\n117\t if (l.property_type) chips.push(l.property_type);\n118\t if (l.capacity) chips.push(`${l.capacity} personnes`);\n119\t if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n120\t if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"824d7b5e-d504-42f9-b459-33aa5f5a12a0","timestamp":"2026-08-25T15:17:37.813Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ls -la /Users/simon-pierreboucher/apps/lou-ka/lou…","usage":{"total_tokens":44621,"tool_uses":30,"duration_ms":25060},"last_tool_name":"Bash","uuid":"a76997a8-7652-473f-8844-526e70839414","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvfewWc8PKCpDGUZ9a","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DmAQNqkMbtE342HxrWdJvH","name":"Bash","input":{"command":"ls -la 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ML5LdQ2uD5ufbYUXFSxnV1","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# db.py : persistance SQLite SÉPARÉE (data/louka_ct.db) — upsert avec détection\n# de changements, cycle de vie avec délai de grâce, cache détail.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport time\nfrom pathlib import Path\n\nfrom .schema import StListing\n\nDB_PATH = Path(__file__).resolve().parent.parent.parent / \"data\" / \"louka_ct.db\"\n\nMISS_GRACE = 2 # absences consécutives tolérées avant désactivation\n\n_SCHEMA = \"\"\"\nCREATE TABLE IF NOT EXISTS st_listings (\n uid TEXT PRIMARY KEY,\n source TEXT NOT NULL,\n external_id TEXT NOT NULL,\n url TEXT,\n title TEXT,\n property_type TEXT,\n address TEXT,\n city TEXT,\n region TEXT,\n price_night REAL,\n price_label TEXT,\n capacity REAL,\n bedrooms REAL,\n beds REAL,\n bathrooms REAL,\n pets TEXT,\n citq TEXT,\n rating REAL,\n reviews INTEGER,\n description TEXT,\n amenities TEXT, -- JSON\n details TEXT, -- JSON\n images TEXT, -- JSON\n lat REAL,\n lng REAL,\n content_hash TEXT,\n first_seen REAL,\n last_seen REAL,\n updated_at REAL,\n miss_count INTEGER DEFAULT 0,\n active INTEGER DEFAULT 1\n);\nCREATE INDEX IF NOT EXISTS idx_st_source ON st_listings(source);\nCREATE INDEX IF NOT EXISTS idx_st_region ON st_listings(region);\nCREATE INDEX IF NOT EXISTS idx_st_active ON st_listings(active);\nCREATE INDEX IF NOT EXISTS idx_st_geo ON st_listings(lat, lng);\n\nCREATE TABLE IF NOT EXISTS st_sync_log (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n source 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RtT9iH2DAtkeKk2xbRxhVN","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# poi.py : commodités de proximité par immeuble via Overpass (OpenStreetMap)\n# Pour chaque immeuble géolocalisé, une requête Overpass unique récupère\n# les points d'intérêt utiles à un locataire (épicerie, pharmacie, école,\n# garderie, parc, arrêt de bus, gym, clinique…) ; on retient le PLUS PROCHE\n# de chaque catégorie avec sa distance. Cache permanent par coordonnées\n# (table poi_cache, clé arrondie à 4 décimales ≈ 11 m : les unités d'un\n# même immeuble partagent la même entrée). Politesse : 1 requête/seconde.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport math\nimport time\n\nimport requests\n\nfrom . import db\n\n# Miroirs Overpass (rotation en cas d'erreur/limitation) — kumi.systems\n# tolère mieux les gros volumes que l'instance officielle\nOVERPASS_URLS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n # replis vérifiés couvrant le Québec (panne simultanée kumi+officiel\n # constatée le 2026-08-25) ; overpass.osm.ch exclu (extrait suisse)\n \"https://maps.mail.ru/osm/tools/overpass/api/interpreter\",\n \"https://overpass.openstreetmap.fr/api/interpreter\",\n]\nUSER_AGENT = \"LouKaBot/1.0 (agregateur logements Quebec; +contact@spboucher.ai)\"\nREQUEST_DELAY = 2.0\nREFRESH_AFTER = 90 * 86400 # les POI bougent peu : rafraîchir aux ~3 mois\n\n# Stratégie « par tuiles » : plutôt qu'une requête par immeuble (l'union\n# d'around() est très coûteuse côté Overpass), on télécharge TOUS les POI\n# des catégories par tuile de 0,5° couvrant nos immeubles (~10 tuiles pour\n# Québec/Lévis + Grand Montréal), puis on calcule les plus proches en local.\nTILE = 0.5","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8ab4f960-cb55-48a2-8592-fa232b74605b","timestamp":"2026-08-25T15:17:40.147Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GKNo9XrYG2u4wqDAFcNyF5","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# kascores.py : les KA Scores — famille de scores maison 0-100 par immeuble.\n#\n# KA Walk Score marchabilité (besoins quotidiens à pied)\n# KA Transit Score desserte en transport collectif\n# KA Bike Score praticité du vélo\n# KA Calme Score tranquillité estimée du secteur\n# KA Services Score richesse des services (1 km / 3 km)\n# KA Score global moyenne pondérée (personnalisable côté client)\n#\n# Sources : OpenStreetMap (© contributeurs OSM, ODbL) via environment.py,\n# mesures de proximité StatCan (PMD 2021, quartier.db) pour le volet\n# fréquence/qualité du transport collectif. AUCUNE donnée inventée :\n# secteur sans données → NULL (« Données insuffisantes »), territoire sans\n# arrêt → NULL transit (« Non desservi »), et chaque score expose son\n# détail (details JSON) affiché sur la fiche.\n#\n# Honnêteté méthodologique (affichée sur /ka-scores) :\n# · distances à vol d'oiseau × 1,3 (facteur réseau usuel), pas un routage ;\n# · le Calme est une estimation d'environnement, pas une mesure sonore ;\n# · le Bike ignore le dénivelé (v1) ;\n# · barème versionné — tout changement recalcule l'ensemble du parc.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport math\nimport sqlite3\nimport time\nfrom pathlib import Path\n\nfrom . import db\nfrom .environment import load_tile\nfrom .poi import TILE, _haversine_m, _tile_of\n\nVERSION = \"2026.08-v1\"\nDETOUR = 1.3 # vol d'oiseau → distance de marche estimée\nQUARTIER_DB = Path(__file__).resolve().parent.parent / \"data\" / \"quartier.db\"","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ce283ce3-1e3e-4d99-880c-eaa7e77fce00","timestamp":"2026-08-25T15:17:40.153Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":48096,"tool_uses":34,"duration_ms":27389},"last_tool_name":"Bash","uuid":"253e10b0-215d-48fa-bf1f-9a508f874322","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvrFRjECjaTxXMNuTM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ennz4KQ79Yxu5M3Xkpkm61","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/fairvalue.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3465,"cache_read_input_tokens":44513,"cache_creation":{"ephemeral_5m_input_tokens":3465,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"132bc225-577c-405e-a0db-47f92c40b2e6"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ennz4KQ79Yxu5M3Xkpkm61","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# fairvalue.py : framework d'estimation de la JUSTE VALEUR locative (fair value)\n#\n# Moteur générique Groupe-KA « estimation de juste valeur » : les\n# spécificités logement vivent dans CONFIG (segments, caractéristiques,\n# seuils) — décliner sur immo-ka (biens en vente) ou auto-ka (véhicules)\n# = fournir une autre CONFIG et une autre requête de chargement.\n#\n# Trois niveaux, du plus robuste au plus fin :\n# N1 référence par segment de marché (ville[/quartier] × chambres),\n# médiane + p25/p75, volume minimal sinon repli au niveau supérieur ;\n# N2 ajustements multiplicatifs par caractéristiques (meublé, chauffage\n# inclus, stationnement…) estimés SUR LES DONNÉES elles-mêmes ;\n# N3 comparables kNN géographiques (grille spatiale, pondération\n# gaussienne par la distance).\n# Combinaison + couloir de sécurité autour du segment + indice de confiance.\n# AUCUNE donnée inventée : segment trop rare => confiance faible / pas de\n# verdict, jamais d'estimation à l'aveugle.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport math\nimport re\nimport time\nfrom statistics import median\n\nMODEL_VERSION = \"fv-logement-1.0\"\n\nCONFIG = {\n # volume minimal d'annonces pour qu'un segment fasse référence\n \"min_segment\": 8,\n # comparables (niveau 3)\n \"knn_k\": 12,\n \"knn_min\": 4,\n \"knn_radius_m\": 3000.0,\n \"knn_bandwidth_m\": 800.0, # pondération gaussienne exp(-(d/bw)^2)\n # combinaison : poids du kNN quand il est disponible\n \"knn_weight\": 0.6,","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"dbcd2e73-0f11-453b-91af-43f503461439","timestamp":"2026-08-25T15:17:40.482Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":48098,"tool_uses":35,"duration_ms":27525},"last_tool_name":"Bash","uuid":"5bf40f0d-d3f5-42f6-9d63-b1441e4fcc47","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgvrFRjECjaTxXMNuTM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UQgXxNZq9NHd8bd8c5Jio4","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/quartier.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3465,"cache_read_input_tokens":44513,"cache_creation":{"ephemeral_5m_input_tokens":3465,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4340bb2a-899d-4728-8266-9157db3d4e70"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UQgXxNZq9NHd8bd8c5Jio4","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# quartier.py : statistiques de quartier par annonce (à la Centris, en libre)\n# Base statique data/quartier.db construite par scripts/build_*.py :\n# - da_poly / da_stats : aires de diffusion 2021 + profil du recensement\n# - da_pmd : mesures de proximité StatCan (scores 0..1)\n# - da_defav : défavorisation matérielle/sociale INSPQ (quintiles)\n# - heat : classe d'îlot de chaleur/fraîcheur INSPQ par immeuble\n# - crime_mtl / igc : actes criminels SPVM (points) + indice de gravité\n# Jointure : lat/lng -> DAUID par point-dans-polygone local (préfiltre bbox),\n# mémorisée dans listings.dauid à l'enrichissement (boucle watch).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport math\nimport sqlite3\nimport time\nfrom pathlib import Path\n\nfrom . import db\n\nQUARTIER_DB = Path(__file__).resolve().parent.parent / \"data\" / \"quartier.db\"\n\n# villes couvertes par les points SPVM (agglomération de Montréal)\n_VILLES_SPVM = {\"montreal\", \"montreal-est\", \"montreal-ouest\", \"westmount\",\n \"cote saint-luc\", \"cote-saint-luc\", \"hampstead\", \"mont-royal\",\n \"outremont\", \"verdun\", \"lasalle\", \"lachine\", \"anjou\",\n \"saint-leonard\", \"saint-laurent\", \"ahuntsic\", \"dorval\",\n \"pointe-claire\", \"kirkland\", \"beaconsfield\", \"dollard-des-ormeaux\"}\n\n# correspondance ville -> fragment du nom de service dans la table igc\n_IGC_SERVICE = {\n \"quebec\": \"SPVQ\", \"levis\": \"Lévis\", \"montreal\": \"SPVM\",\n \"laval\": \"Laval\", \"longueuil\": \"Longueuil\",\n}\n\n\ndef disponible() -> bool:","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6d4fb3c2-2041-4c92-8318-2c512b98abd9","timestamp":"2026-08-25T15:17:40.623Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading frontend/package.json","usage":{"total_tokens":50850,"tool_uses":36,"duration_ms":29205},"last_tool_name":"Read","uuid":"e5555e7c-8863-44af-88a0-03b6438182f8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgw23nb4pnEsDBdT8EB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J2wquJRvZpKtZUxoBtnPEk","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/package.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2748,"cache_read_input_tokens":47978,"cache_creation":{"ephemeral_5m_input_tokens":2748,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"02c76f7c-2de4-445f-9584-67bfac5972b3"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J2wquJRvZpKtZUxoBtnPEk","type":"tool_result","content":"1\t{\n2\t \"name\": \"lou-ka-frontend\",\n3\t \"author\": \"Simon-Pierre Boucher \",\n4\t \"private\": true,\n5\t \"version\": \"1.0.0\",\n6\t \"type\": \"module\",\n7\t \"scripts\": {\n8\t \"dev\": \"vite\",\n9\t \"build\": \"tsc -b && vite build\",\n10\t \"preview\": \"vite preview\"\n11\t },\n12\t \"dependencies\": {\n13\t \"react\": \"^18.3.1\",\n14\t \"react-dom\": \"^18.3.1\",\n15\t \"react-router-dom\": \"^6.26.0\",\n16\t \"@groupe-ka/ka-maps\": \"file:../../ka-maps\",\n17\t \"mapbox-gl\": \"^3.28.1\"\n18\t },\n19\t \"devDependencies\": {\n20\t \"@types/react\": \"^18.3.3\",\n21\t \"@types/react-dom\": \"^18.3.0\",\n22\t \"@vitejs/plugin-react\": \"^4.3.1\",\n23\t \"typescript\": \"^5.5.4\",\n24\t \"vite\": \"^5.4.0\"\n25\t }\n26\t}\n27\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0e24dcdd-69c1-4be4-8597-1e399d2af8b7","timestamp":"2026-08-25T15:17:42.277Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -80 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":50852,"tool_uses":37,"duration_ms":29552},"last_tool_name":"Bash","uuid":"c9629403-49f6-46b2-9d62-f3e6834b2507","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgw23nb4pnEsDBdT8EB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fn8kmZVUM5RcjY7e7CMszw","name":"Bash","input":{"command":"head -80 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/kangalou.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2748,"cache_read_input_tokens":47978,"cache_creation":{"ephemeral_5m_input_tokens":2748,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"33163557-89a8-42e6-af59-4c6e31f22c8e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fn8kmZVUM5RcjY7e7CMszw","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/kangalou.py : Kangalou (kangalou.com) — portail locatif québécois\n# géré (Solutions Kangalou, ~8 700 annonces province entière). Découverte en\n# UNE requête : l'endpoint carte `POST /fr/recherche/ajax/search-map/`\n# (pinsOnly=true) renvoie tous les pins JSON — id, URL de fiche, GPS, ville,\n# type (ti/tn ; 10=Commercial et 11=Garage exclus), « n ½ » (an), prix (mc),\n# photo et l'état loué (ir, exclu). La fiche /fr/annonce/// (SSR,\n# aucun anti-bot) complète : adresse civique, chambres/salles de bain, loyer,\n# étage, superficie, disponibilité, description longue, sections « toggler »\n# (Inclusions, Caractéristiques, Animaux, Sécurité, À proximité, Transport…)\n# et la galerie COMPLÈTE pleine résolution (gr-modal-gallery-src, sans\n# paramètre de redimensionnement) — via TtlDetailCache (budget/TTL). Le\n# budget par défaut couvre tout le parc (~8 000 fiches) : le premier sync est\n# long (~1 h 30), les suivants ne re-visitent que les fiches périmées (TTL).\n# L'API de liste HTML (POST /fr/api/search) existe aussi mais pagine par 29\n# et masque l'état loué (CSS) : les pins sont la source fiable.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport os\nimport re\n\nfrom ..schema import Listing, normalize_unit_type\nfrom .base import BaseConnector\nfrom . import _detailutil as du\n\nBASE = \"https://www.kangalou.com\"\nPINS_API = f\"{BASE}/fr/recherche/ajax/search-map/\"\n\nDETAIL_LIMIT = int(os.environ.get(\"LOUKA_KANGALOU_DETAIL_LIMIT\", \"9000\"))\nTTL_DAYS = float(os.environ.get(\"LOUKA_KANGALOU_TTL_DAYS\", \"7\"))\nMAX_PINS = int(os.environ.get(\"LOUKA_KANGALOU_MAX\", \"0\")) # 0 = tout\n\n# type id -> type d'unité par défaut (le « n ½ » du pin prime quand présent)\n_TYPES = {1: \"\", 2: \"Condo\", 3: \"Maison\", 4: \"Chambre\", 5: \"Chalet\",\n 6: \"Studio\", 7: \"Loft\"}\n_EXCLUDED_TI = {10, 11} # Commercial, Garage : pas du résidentiel\n\n# fiche détail (SSR)\n_GPS_RE = re.compile(r'maps/search/\\?query=(-?\\d+\\.\\d+)%2C(-?\\d+\\.\\d+)')\n_ADDR_RE = re.compile(r'buds--separator[^>]*u-text-size-sm\">\\s*([^<]+)', re.S)\n# galerie : pleine taille dans gr-modal-gallery-src (les sont lazyload) ;\n# hébergement variable (images/glide kangalou OU s3 shareimmo/lws…)\n_GALLERY_RE = re.compile(r'gr-modal-gallery-src=\"(https?://[^\"]+)\"')\n_FLAT_FIELD = {\n \"loyer\": re.compile(r\"Loyer:\\s*\\|\\s*([\\d\\s ,]+\\$\\s*/\\s*mois)\"),\n \"etage\": re.compile(r\"Étage:\\s*\\|\\s*(\\d{1,2})\\b\"),\n \"sdb\": re.compile(r\"Nombre de salles? de bain:\\s*\\|\\s*(\\d+(?:[.,]5)?)\"),\n \"chambres\": re.compile(r\"Nombre de chambres:\\s*\\|\\s*(\\d+)\"),\n \"superficie\": re.compile(r\"Superficie:\\s*\\|\\s*([\\d\\s ,.]+)\\s*m\\s*\\|\\s*2\"),\n \"dispo\": re.compile(r\"Disponibilité:\\s*\\|\\s*([^|]{1,60})\"),\n}\n# description : le titre varie selon le type (« Description du logement /\n# du condo / de la maison / du studio… à louer ») — matcher générique.\n# Bloc « typography » complet ; borne préférée = le déclencheur « Voir plus »\n# (gr-read-more-trigger) pour survivre aux
imbriqués, sinon repli sur\n# le premier
(bloc simple

…

)\n_DESC_FULL_RE = re.compile(\n r'Description d[^<]{0,60}.*?
]*>'\n r'(.*?)
\\s*
.*?
]*>(.*?)
',\n re.S)\n\n# sections « toggler » de la fiche :
Titre
\n# suivi d'items

libellé[valeurs]

\n_SECTION_ITEM_RE = re.compile(\n r\"

\\s*(.*?)(?:\\s*(.*?))?\", re.S)\n# sections « à proximité » -> details ; le reste (Inclusions, Caractéristiques\n# intérieures/extérieures, Détail, Animaux, Sécurité, Buanderie, Autres\n# services, Critères importants…) -> amenities\n_PROXIMITY_TITLES = {\"À proximité\", \"Transport\"}\n_PETS_NO = {\"Aucun animal autorisé\", \"Aucun animal accepté\", \"Animaux refusés\"}\n_PETS_YES = {\"Animaux acceptés\", \"Animaux autorisés\", \"Tous animaux autorisés\"}\n\n\ndef _clean_text(fragment: str) -> str:\n \"\"\"HTML -> texte propre (br/p/li = sauts de ligne, entités décodées).\"\"\"","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b2113e02-fa3a-471c-9081-ea5d24eb4b77","timestamp":"2026-08-25T15:17:42.646Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -60 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":50854,"tool_uses":38,"duration_ms":29752},"last_tool_name":"Bash","uuid":"f1cc051f-52ae-4e5b-b3b5-7e3c698a1041","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgw23nb4pnEsDBdT8EB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UtuDSmx3ef2aNTXB2oLp48","name":"Bash","input":{"command":"head -60 /Users/simon-pierreboucher/apps/lou-ka/louka/connectors/brio.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2748,"cache_read_input_tokens":47978,"cache_creation":{"ephemeral_5m_input_tokens":2748,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ae3bab11-5c9a-4cfd-9b69-9a2d5018c6d1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UtuDSmx3ef2aNTXB2oLp48","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/brio.py : connecteur Les Immeubles Brio (immeublesbrio.com)\n# Projet mono-immeuble « Le Brio » à Val-Bélair (boul. Pie-XI, Québec).\n# Les unités sont affichées par étage (hotspots Divi) avec statut\n# Disponible / Loué ; les prix « à partir de » par type (3½/4½/5½)\n# sont affichés sur la page d'accueil.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, infer_city, normalize_unit_type, parse_price\nfrom .base import BaseConnector\n\nBASE = \"https://immeublesbrio.com\"\nHOME_URL = f\"{BASE}/\"\nLIST_URL = f\"{BASE}/appartements-a-louer-val-belair/\"\nSECTOR = \"Val-Bélair\"\n# Adresse civique affichée sur la page Contactez-nous (« Visitez-nous »)\nADDRESS = \"1105, rue des Rigoles, Québec, QC G3K 0M7\"\n\n\nclass BrioConnector(BaseConnector):\n source_id = \"brio\"\n request_delay = 0.6\n\n def fetch(self) -> list[Listing]:\n # 1) Page d'accueil : prix « à partir de » par type (ex. « 3½ à\n # partir de 1500$ »), services de l'immeuble (blurbs Divi) et\n # contact (téléphone/courriel de l'en-tête).\n type_prices: dict[str, tuple[float | None, str]] = {}\n services: list[str] = []\n contact: dict = {}\n try:\n home = self.get(HOME_URL).text\n home_txt = re.sub(r\"<[^>]+>\", \" \", home)\n for m in re.finditer(r\"(\\d)\\s*½\\s*à\\s*partir\\s*de\\s*([\\d\\s ]+)\\$\",\n home_txt):\n label = f\"{m.group(1)}½ à partir de {m.group(2).strip()}$\"\n type_prices[m.group(1)] = (parse_price(f\"{m.group(2)}$\"), label)\n hsoup = BeautifulSoup(home, \"html.parser\")\n # Services de l'immeuble (Wifi, ascenseur, stationnement…)\n services = [h.get_text(\" \", strip=True)\n for h in hsoup.select(\".et_pb_blurb .et_pb_module_header\")\n if h.get_text(strip=True)][:12]\n # Contact : courriel (lien mailto:) + téléphone (en-tête)\n mail = hsoup.select_one('a[href^=\"mailto:\"]')\n if mail:\n contact[\"email\"] = mail[\"href\"].removeprefix(\"mailto:\").strip()\n m = re.search(r\"\\b(\\d{3})[-.\\s](\\d{3})[-.\\s](\\d{4})\\b\", home_txt)\n if m:\n contact[\"phone\"] = f\"{m.group(1)}-{m.group(2)}-{m.group(3)}\"\n except Exception:\n pass\n\n # 2) Page des appartements : hotspots par étage","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ad7af63d-5c43-4ddb-988d-c6b802276ac8","timestamp":"2026-08-25T15:17:42.851Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":54227,"tool_uses":39,"duration_ms":31456},"last_tool_name":"Bash","uuid":"620638f8-f2ef-4853-9c05-b366eb6b8f32","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwBa2YARYRL3XK7JDn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JuBVmmurWG84nsxko6nKoH","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/hydro.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3367,"cache_read_input_tokens":50726,"cache_creation":{"ephemeral_5m_input_tokens":3367,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3458d6f3-1253-479d-b829-3822e202052d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JuBVmmurWG84nsxko6nKoH","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# hydro.py : estimation du coût d'électricité à une adresse — Hydro-Québec\n#\n# Reproduit le parcours PUBLIC de l'outil « Estimer les coûts d'électricité\n# à une résidence » (session.hydroquebec.com), rétro-conçu depuis son SPA :\n# 1. POST {clWebServicePublicApiURL}public/api/v3_0/lieu-consommation\n# body {noCivique, codePostal, recaptchaResponse} -> liste de lieux\n# (idConso, cleUnique, adresse) ;\n# 2. POST {drcvPublicApiURL}public/api/v3_0/consommation/estimation\n# body {cleUnique, idConso} -> coût annuel estimé.\n# Les deux étapes exigent un jeton reCAPTCHA v2 valide\n# (site key 6Lf08Q0UAAAAABCA7z47p2tMxa5_fY0wmn8DDPsu). Il est obtenu via un\n# solveur enfichable (2captcha / CapSolver) ET les requêtes sortent par le\n# proxy résidentiel canadien Bright Data (contourne le géoblocage / anti-bot).\n#\n# Configuration (.env) :\n# HQ_CAPTCHA_KEY clé du solveur (obligatoire pour l'appel live)\n# HQ_CAPTCHA_PROVIDER \"2captcha\" (défaut) | \"capsolver\"\n# BRIGHTDATA_* / OXYLABS_* : proxy résidentiel (réutilise la pile projet)\n#\n# Sans HQ_CAPTCHA_KEY : estimate() renvoie {\"disponible\": False, ...} et le\n# bloc fiche reste masqué — jamais d'estimation inventée.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\nimport re\nimport sqlite3\nimport time\nimport urllib.parse\nimport urllib.request\nfrom pathlib import Path\n\nDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"hydro.db\"\nTTL = 180 * 86400 # succès : la conso bouge lentement\nNEG_TTL = 30 * 86400 # échec (adresse inconnue) : re-tenter dans 30 j\n # — borne le coût captcha des cycles watch","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"76fabac5-c85f-480b-a056-b5cbf7a24a5e","timestamp":"2026-08-25T15:17:44.553Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":54230,"tool_uses":40,"duration_ms":31830},"last_tool_name":"Bash","uuid":"1a3b3744-e9ca-4ab3-9275-d760784ed436","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwBa2YARYRL3XK7JDn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011sKd2nLXgPiHQKV5gAhEPF","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/tal.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3367,"cache_read_input_tokens":50726,"cache_creation":{"ephemeral_5m_input_tokens":3367,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cc492816-9915-4f9a-94f8-c6b3d11876a2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":54233,"tool_uses":41,"duration_ms":31835},"last_tool_name":"Bash","uuid":"45d46482-c8df-4d39-bb7e-84521b85ad3b","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwBa2YARYRL3XK7JDn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013uGcKxZnE28Hj5VYoFW4vn","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/managers.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3367,"cache_read_input_tokens":50726,"cache_creation":{"ephemeral_5m_input_tokens":3367,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2f875013-2650-4315-9abe-e288a43af8aa"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011sKd2nLXgPiHQKV5gAhEPF","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# tal.py : historique au Tribunal administratif du logement (TAL / ex-RDL)\n#\n# Les décisions du TAL sont diffusées gratuitement par SOQUIJ\n# (citoyens.soquij.qc.ca, tribunal no 35, plein texte depuis ~2009). Le site\n# est protégé par une détection de bot (byscuit) : la RECHERCHE exige un\n# rendu JS + IP résidentielle (Scrapfly, asp + render_js + session), mais la\n# page d'une DÉCISION se charge ensuite sans rendu (même session = moins\n# cher). Le moteur ne supporte pas les phrases entre guillemets : les mots\n# sont combinés en ET implicite, d'où la stratégie\n# recherche « »\n# puis VÉRIFICATION de l'adresse exacte dans le texte intégral.\n#\n# Tout est mis en cache dans data/tal.db (base séparée : jamais de verrou\n# sur louka.db) par adresse normalisée (no civique + rue + ville) :\n# · tal_lookup : une ligne par adresse vérifiée (ou en file d'attente) ;\n# · tal_decisions : décisions confirmées à l'adresse, classées par mots\n# clés (non-paiement, résiliation, expulsion, reprise…)\n# et par partie demanderesse (locateur vs locataire).\n#\n# Usage : python run.py tal [n] [budget_s] # précalcul par lots\n# Lecture : lookup(address, city) — bloc « Historique TAL » de la fiche\n# (/api/tal) ; une adresse jamais vérifiée est mise en file\n# prioritaire et traitée au prochain passage du watch.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport html\nimport json\nimport os\nimport re\nimport sqlite3\nimport threading\nimport time\nimport unicodedata\nimport urllib.parse\nimport urllib.request\nfrom concurrent.futures import ThreadPoolExecutor, as_completed","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8a961976-bfeb-448b-9c0e-6c51a87f60f0","timestamp":"2026-08-25T15:17:44.929Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013uGcKxZnE28Hj5VYoFW4vn","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# managers.py : « Qui gère ce logement? » — fiche du gestionnaire/propriétaire.\n#\n# 1) Amorçage : les gestionnaires sont les sources DIRECTES de Lou-Ka\n# (data/sources.json, hors portails et petites annonces) qui ont au moins\n# une annonce collectée. Aucun gestionnaire n'est inventé.\n# 2) Résolution Google Maps (SerpApi, serveur seulement) : la fiche Google\n# n'est associée QUE si la confiance est suffisante (similarité de nom,\n# domaine du site web, ville) — jamais « le premier résultat » aveuglément.\n# Signaux et confiance stockés (match_confidence, match_signals).\n# 3) Avis Google : synchronisation paginée (next_page_token, hl=fr, plus\n# récents d'abord), dédupliqués par (manager_id, review_id Google) avec\n# repli sur un hash de contenu. Les avis vivent dans NOTRE base : les pages\n# ne déclenchent jamais d'appel SerpApi.\n# 4) Analyse : statistiques réelles (distribution, récence, tendance — pas\n# seulement la moyenne Google) + thèmes par lexique français, sentiment\n# dérivé de la note, sévérité et confiance. Statut « inferred » assumé.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport difflib\nimport hashlib\nimport json\nimport re\nimport time\nimport unicodedata\nfrom datetime import datetime, timezone\n\nfrom . import db, serpapi_client\nfrom .dedup import CLASSIFIEDS, PORTALS\n\nVERSION = \"gestionnaire-1.0\"\nSEUIL_CONFIANCE = 0.60 # sous ce seuil : fiche Google NON associée\nMAX_PAGES = 10 # garde-fou pagination avis (par synchronisation)\nSYNC_TTL = 7 * 86400 # re-synchroniser les avis au plus aux 7 jours\nRESOLVE_RETRY = 30 * 86400 # re-tenter une résolution échouée après 30 jours\n\n# suffixes/génériques retirés pour comparer les noms d'entreprises","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"87b3cfef-11d8-44b6-80e6-55d5eed83295","timestamp":"2026-08-25T15:17:44.928Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -40 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":54236,"tool_uses":42,"duration_ms":32024},"last_tool_name":"Bash","uuid":"f0836e87-36d4-4c53-8815-da56b52b9a62","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwBa2YARYRL3XK7JDn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UmTmiHMSe8ogvyWjuke1Rj","name":"Bash","input":{"command":"head -40 /Users/simon-pierreboucher/apps/lou-ka/louka/imgcheck.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3367,"cache_read_input_tokens":50726,"cache_creation":{"ephemeral_5m_input_tokens":3367,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5d743783-e55d-418b-b2b5-19fbcc5f0e14"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UmTmiHMSe8ogvyWjuke1Rj","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# imgcheck.py : contrôle qualité des images d'annonces\n# - liens morts (404, timeout, non-image) -> retirés\n# - images minuscules / pixellisées -> retirées\n# - placeholders de la source (même image générique\n# répétée sur une grande part des annonces) -> retirés\n# - doublons dans une même galerie (hash contenu) -> dédupliqués\n# Résultat par annonce : listings.images_ok (galerie nettoyée, ordre\n# d'origine conservé) + listings.img_audit (JSON de traçabilité).\n# Les vérifications par URL sont mises en cache dans image_checks.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport io\nimport json\nimport hashlib\nimport threading\nimport time\nfrom concurrent.futures import ThreadPoolExecutor\nfrom urllib.parse import urlsplit\n\nimport requests\n\n# seuils de qualité\nMIN_WIDTH = 250\nMIN_HEIGHT = 180\nMIN_BYTES = 6_000 # en dessous : icône / pixel de tracking\nMAX_DOWNLOAD = 6_000_000 # on ne lit jamais plus de 6 Mo par image\nTIMEOUT = 12\nRECHECK_FAILED_DAYS = 7 # une image en échec est retentée après 7 jours\n\n# placeholder : même contenu présent sur >= PLACEHOLDER_MIN annonces distinctes,\n# >= PLACEHOLDER_RATIO des annonces actives de la source ET réparti sur\n# >= PLACEHOLDER_ADDRS adresses différentes. (Les photos d'immeuble ou de\n# projet partagées entre les unités d'une MÊME adresse — piscine, gym,\n# façade — sont légitimes : c'est la dispersion multi-adresses qui trahit\n# le visuel générique « image non disponible ».)\nPLACEHOLDER_MIN = 12","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7ce92db1-63a2-4742-b3c2-798d07e6449f","timestamp":"2026-08-25T15:17:45.113Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running sqlite3 /Users/simon-pierreboucher/apps/lou-ka/da…","usage":{"total_tokens":57123,"tool_uses":43,"duration_ms":34172},"last_tool_name":"Bash","uuid":"39be8444-239a-4ca1-b693-e75ecf512681","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013BniRdirNZwPdah3FcD9GP","type":"tool_result","content":"CREATE TABLE st_listings (\n uid TEXT PRIMARY KEY,\n source TEXT NOT NULL,\n external_id TEXT NOT NULL,\n url TEXT,\n title TEXT,\n property_type TEXT,\n address TEXT,\n city TEXT,\n region TEXT,\n price_night REAL,\n price_label TEXT,\n capacity REAL,\n bedrooms REAL,\n beds REAL,\n bathrooms REAL,\n pets TEXT,\n citq TEXT,\n rating REAL,\n reviews INTEGER,\n description TEXT,\n amenities TEXT, -- JSON\n details TEXT, -- JSON\n images TEXT, -- JSON\n lat REAL,\n lng REAL,\n content_hash TEXT,\n first_seen REAL,\n last_seen REAL,\n updated_at REAL,\n miss_count INTEGER DEFAULT 0,\n active INTEGER DEFAULT 1\n);\nCREATE INDEX idx_st_source ON st_listings(source);\nCREATE INDEX idx_st_region ON st_listings(region);\nCREATE INDEX idx_st_active ON st_listings(active);\nCREATE INDEX idx_st_geo ON st_listings(lat, 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-----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, BackgroundTasks, HTTPException, Query\n\nfrom . import db\n\nrouter = APIRouter(prefix=\"/api/ct\", tags=[\"court-terme\"])\n\nSOURCES_CT_PATH = (Path(__file__).resolve().parent.parent.parent\n / \"data\" / \"sources_ct.json\")\n_sync_lock = threading.Lock()\n\n_SORTS = {\n \"recent\": \" ORDER BY first_seen DESC, price_night IS NULL, price_night ASC\",\n \"prix\": \" ORDER BY price_night IS NULL, price_night ASC\",\n \"prix_desc\": \" ORDER BY price_night IS NULL, price_night DESC\",\n \"note\": \" ORDER BY rating IS NULL, rating DESC, reviews DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n return d\n\n\ndef _apply_filters(sql: str, args: list,\n region: str | None, city: str | None, type_: str | None,\n source: str | None, price_min: float | None,\n price_max: float | None, capacity_min: float | None,\n bedrooms_min: float | None, pets: str | None,\n spa: int | None, waterfront: int | None,\n q: str | None) -> str:\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if type_:\n sql += \" AND property_type=?\"; args.append(type_)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_min is not None:\n sql += \" AND price_night IS NOT NULL AND price_night>=?\"\n args.append(price_min)\n if price_max is not None:\n sql += \" AND price_night IS NOT NULL AND price_night<=?\"\n args.append(price_max)\n if capacity_min is not None:\n sql += \" AND capacity IS NOT NULL AND capacity>=?\"\n args.append(capacity_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"\n args.append(bedrooms_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n if spa == 1:\n sql += \" AND json_extract(details,'$.spa')=1\"\n if waterfront == 1:\n sql += \" AND json_extract(details,'$.waterfront')=1\"\n if q:\n sql += \" AND (title LIKE ? OR city LIKE ? OR region LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n return sql\n\n\n@router.get(\"/listings\")\ndef ct_listings(\n region: str | None = None,\n city: str | None = None,","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bf8beb2a-2a2a-4771-bb8d-af75db3a5f20","timestamp":"2026-08-25T15:17:48.723Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -30 /Users/simon-pierreboucher/apps/lou-ka/d…","usage":{"total_tokens":58765,"tool_uses":47,"duration_ms":37266},"last_tool_name":"Bash","uuid":"601c7378-5532-4ea3-bf3b-045c9aad8bcd","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwcj7NWN99xxj74v2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SMKQJM5doXaJ9YnADUkJcM","name":"Bash","input":{"command":"head -30 /Users/simon-pierreboucher/apps/lou-ka/data/sources.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1632,"cache_read_input_tokens":56976,"cache_creation":{"ephemeral_5m_input_tokens":1632,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"36d539fa-7c1b-41d0-9b1d-cbafc6dbd564"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -30 /Users/simon-pierreboucher/apps/lou-ka/d…","usage":{"total_tokens":58767,"tool_uses":48,"duration_ms":37271},"last_tool_name":"Bash","uuid":"54de2983-dcbe-4c74-a3e9-b80b6c488039","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwcj7NWN99xxj74v2E","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BcoG8BByNRG2o2497oHDNZ","name":"Bash","input":{"command":"head -30 /Users/simon-pierreboucher/apps/lou-ka/data/sources_ct.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":1632,"cache_read_input_tokens":56976,"cache_creation":{"ephemeral_5m_input_tokens":1632,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f3201c60-2343-440c-8b6d-ca03fd4caf55"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SMKQJM5doXaJ9YnADUkJcM","type":"tool_result","content":"{\n \"_comment\": \"Lou-Ka — Registre des sources (agences/gestionnaires immobiliers, Québec & Lévis). Auteur : Simon-Pierre Boucher — contact@spboucher.ai\",\n \"sources\": [\n {\n \"id\": \"lafrance_mathieu\",\n \"name\": \"Lafrance & Mathieu\",\n \"url\": \"https://lafrance-mathieu.com\",\n \"listing_url\": \"https://lafrance-mathieu.com/louer-appartement-quebec\",\n \"sectors\": \"Beauport, Charlesbourg, Limoilou, St-Roch, Lévis, Val-Bélair, Loretteville, L'Ancienne-Lorette, St-Augustin\",\n \"connector\": \"lafrance_mathieu\",\n \"status\": \"actif\",\n \"region\": \"Québec\"\n },\n {\n \"id\": \"msi\",\n \"name\": \"MSI Gestion immobilière\",\n \"url\": \"https://www.msimmobiliers.com\",\n \"listing_url\": \"https://www.msimmobiliers.com/appartements-a-louer/quebec\",\n \"sectors\": \"Ville de Québec, Lévis, Limoilou, Beauport, Ste-Foy, Vanier, St-Nicolas\",\n \"connector\": \"msi\",\n \"status\": \"actif\",\n \"region\": \"Québec\"\n },\n {\n \"id\": \"logisco\",\n \"name\": \"Logisco\",\n \"url\": \"https://logisco.com/fr\",\n \"listing_url\": \"https://logisco.com/fr/appartements-a-louer\",\n \"sectors\": \"Québec (Ste-Foy, Val-Bélair, Loretteville, Vanier, St-Augustin) + Lévis (St-Romuald, St-David, St-Nicolas, Desjardins)\",\n \"connector\": \"logisco\",","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a7af0a7a-5ea9-4ddc-9e5c-38cbce7b27a3","timestamp":"2026-08-25T15:17:50.365Z"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BcoG8BByNRG2o2497oHDNZ","type":"tool_result","content":"{\n \"sources\": [\n { \"id\": \"airbnb\", \"name\": \"Airbnb\", \"url\": \"https://www.airbnb.ca\", \"category\": \"internationale\" },\n { \"id\": \"booking\", \"name\": \"Booking.com\", \"url\": \"https://www.booking.com\", \"category\": \"internationale\" },\n { \"id\": \"vrbo\", \"name\": \"Vrbo\", \"url\": \"https://www.vrbo.com\", \"category\": \"internationale\" },\n { \"id\": \"tripadvisor\", 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\"url\": \"https://www.chaletsauquebec.com\", \"category\": \"quebecoise\" },\n { \"id\": \"hebergementquebec\", \"name\": \"Hébergement Québec\", \"url\": \"https://hebergementquebec.com\", \"category\": \"quebecoise\", \"status\": \"site disparu\" },\n { \"id\": \"chaletsdirect\", \"name\": \"ChaletsDirect\", \"url\": \"https://www.chaletsdirect.com\", \"category\": \"quebecoise\", \"status\": \"hors Québec\" },\n { \"id\": \"locationschalets\", \"name\": \"LocationsChalets\", \"url\": \"https://www.locationschalets.com\", \"category\": \"quebecoise\", \"status\": \"site disparu\" },\n { \"id\": \"tremblant_living\", \"name\": \"Tremblant Living\", \"url\": \"https://www.tremblantliving.com\", \"category\": \"agence\" },\n { \"id\": \"gites_passant\", \"name\": \"Gîtes et Auberges du Passant\", \"url\": \"https://www.terroiretsaveurs.com\", \"category\": \"gites\" },","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2eb6138c-244f-45c2-ae26-a508ef0a0107","timestamp":"2026-08-25T15:17:50.365Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Reading frontend/src/pages/CourtTerme.tsx","usage":{"total_tokens":58769,"tool_uses":49,"duration_ms":37633},"last_tool_name":"Read","uuid":"7deaed64-432c-43e1-b78b-4f91b33c2912","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GHHTPTXG4h6RwHJssAMmc1","type":"tool_result","content":"1\t// -----------------------------------------------------------------------------\n2\t// Lou-Ka — Location court terme\n3\t// pages/CourtTerme.tsx : agrégateur d'hébergements court terme (chalets,\n4\t// séjours, hébergement insolite) — héro, filtres, grille + vue carte.\n5\t// Section séparée du Lou-Ka standard (logements au mois) : API /api/ct/*.\n6\t// -----------------------------------------------------------------------------\n7\timport { Suspense, lazy, useEffect, useMemo, useRef, useState } from \"react\";\n8\timport { useSearchParams } from \"react-router-dom\";\n9\timport {\n10\t CtFacets, CtFilters, CtListing, CtStats,\n11\t ctSourceName, fetchCtFacets, fetchCtListings, fetchCtSources, fetchCtStats,\n12\t registerCtSourceNames,\n13\t} from \"../ctapi\";\n14\timport CtListingCard from \"../components/CtListingCard\";\n15\timport Pager from \"../components/Pager\";\n16\timport {\n17\t IcoAlert, IcoHouse, IcoList, IcoMap, IcoPaw, IcoPin, IcoSearch, IcoSliders,\n18\t} from \"../components/Icons\";\n19\t\n20\tconst CtMapView = lazy(() => import(\"../components/CtMapView\"));\n21\t\n22\tconst PAGE_SIZE = 12;\n23\tconst NIGHT_STEPS = [75, 100, 150, 200, 250, 300, 400, 500, 750, 1000];\n24\tconst CAPACITY_STEPS = [2, 4, 6, 8, 10, 12];\n25\tconst SORTS: { key: string; label: string }[] = [\n26\t { key: \"recent\", label: \"Plus récents\" },\n27\t { key: \"prix\", label: \"Prix croissant\" },\n28\t { key: \"prix_desc\", label: \"Prix décroissant\" },\n29\t { key: \"note\", label: \"Mieux notés\" },\n30\t];\n31\t\n32\tfunction useDebounced(value: T, delayMs = 300): T {\n33\t const [debounced, setDebounced] = useState(value);\n34\t useEffect(() => {\n35\t const t = setTimeout(() => setDebounced(value), delayMs);\n36\t return () => clearTimeout(t);\n37\t }, [value, delayMs]);\n38\t return debounced;\n39\t}\n40\t\n41\texport default function CourtTermePage() {\n42\t const [listings, setListings] = useState(null);\n43\t const [total, setTotal] = useState(0);\n44\t const [facets, setFacets] = useState(null);\n45\t const [stats, setStats] = useState(null);\n46\t const [error, setError] = useState(null);\n47\t\n48\t const [params] = useSearchParams();\n49\t const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n50\t const [region, setRegion] = useState(params.get(\"region\") ?? \"\");\n51\t const [type, setType] = useState(params.get(\"type\") ?? \"\");\n52\t const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n53\t const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n54\t const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n55\t const [capMin, setCapMin] = useState(params.get(\"capacity_min\") ?? \"\");\n56\t const [pets, setPets] = useState(params.get(\"pets\") ?? \"\");\n57\t const [spa, setSpa] = useState(params.get(\"spa\") ?? \"\");\n58\t const [waterfront, setWaterfront] = useState(params.get(\"waterfront\") ?? \"\");\n59\t const [sort, setSort] = useState(params.get(\"sort\") ?? \"recent\");\n60\t\n61\t const [sheetOpen, setSheetOpen] = useState(false);\n62\t const [advOpen, setAdvOpen] = useState(false);\n63\t useEffect(() => {\n64\t document.body.style.overflow = sheetOpen ? \"hidden\" : \"\";\n65\t if (!sheetOpen) return () => { document.body.style.overflow = \"\"; };\n66\t const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n67\t window.addEventListener(\"keydown\", onKey);\n68\t return () => {\n69\t document.body.style.overflow = \"\";\n70\t window.removeEventListener(\"keydown\", onKey);\n71\t };\n72\t }, [sheetOpen]);\n73\t\n74\t const activeFilters = [q, region, type, source, priceMin, priceMax, capMin,\n75\t pets, spa, waterfront].filter(Boolean).length;\n76\t const advCount = [capMin, pets, source].filter(Boolean).length;\n77\t\n78\t const [view, setView] = useState<\"liste\" | \"carte\">(\n79\t params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n80\t useEffect(() => {\n81\t setView(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n82\t }, [params]);\n83\t\n84\t const qDebounced = useDebounced(q);\n85\t const filters: CtFilters = useMemo(() => ({\n86\t q: qDebounced, region, type, source,\n87\t price_min: priceMin, price_max: priceMax,\n88\t capacity_min: capMin, pets, spa, waterfront, sort,\n89\t }), [qDebounced, region, type, source, priceMin, priceMax, capMin, pets,\n90\t spa, waterfront, sort]);\n91\t\n92\t useEffect(() => {\n93\t fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n94\t fetchCtFacets().then(setFacets).catch(() => {});\n95\t fetchCtStats().then(setStats).catch(() => {});\n96\t }, []);\n97\t\n98\t // pagination\n99\t const [page, setPage] = useState(() => {\n100\t const p = Number(params.get(\"page\"));\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"386376a0-ad1c-4764-ad57-ece871a6a9dd","timestamp":"2026-08-25T15:17:50.707Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running head -30 /Users/simon-pierreboucher/apps/lou-ka/l…","usage":{"total_tokens":62760,"tool_uses":50,"duration_ms":39625},"last_tool_name":"Bash","uuid":"c963b8fd-f0d8-40d0-89f4-f783ad6f87d9","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwmLXc3Hz2kWTccGQB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JvMXDk7o2GKk3qYJeY8xTV","name":"Bash","input":{"command":"head -30 /Users/simon-pierreboucher/apps/lou-ka/louka/db.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3985,"cache_read_input_tokens":58608,"cache_creation":{"ephemeral_5m_input_tokens":3985,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bd8277ec-c353-4f61-85b7-7fca717e160f"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JvMXDk7o2GKk3qYJeY8xTV","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# db.py : persistance SQLite — upsert avec détection de changements,\n# cycle de vie avec délai de grâce (2 syncs), détection de dérive,\n# cache des pages détail, cache de géocodage.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport sqlite3\nimport statistics\nimport time\nfrom pathlib import Path\n\nfrom .schema import Listing\n\nDB_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"louka.db\"\n\n# Nombre d'exécutions consécutives où une annonce doit être absente de la\n# source avant d'être désactivée (délai de grâce contre les ratés ponctuels).\nMISS_GRACE = 2\n\n# Dérive : si une source retourne <= DRIFT_RATIO × sa médiane historique\n# (médiane >= DRIFT_MIN_BASE annonces), on alerte et on suspend les retraits.\nDRIFT_RATIO = 0.25\nDRIFT_MIN_BASE = 8\nDRIFT_HISTORY = 5\n\n_SCHEMA = \"\"\"","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5f9b81bd-f427-4f10-b0eb-8919f00a5265","timestamp":"2026-08-25T15:17:52.725Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running ps aux | grep uvicorn || echo \"Pas de serveur act…","usage":{"total_tokens":62763,"tool_uses":51,"duration_ms":39969},"last_tool_name":"Bash","uuid":"05c8b3fe-5d04-433c-9fbc-64833bbaf303","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgwmLXc3Hz2kWTccGQB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HtnAqhXmn49s1Sci9LoRwx","name":"Bash","input":{"command":"ps aux | grep uvicorn || echo \"Pas de serveur actif\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3985,"cache_read_input_tokens":58608,"cache_creation":{"ephemeral_5m_input_tokens":3985,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b94672ae-e540-4f56-b97f-a78baeddbca0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HtnAqhXmn49s1Sci9LoRwx","type":"tool_result","content":"simon-pierreboucher 4186 0.0 0.1 443569600 135248 ?? Ss 6Aug26 394:45.71 /opt/homebrew/Cellar/python@3.14/3.14.4/Frameworks/Python.framework/Versions/3.14/Resources/Python.app/Contents/MacOS/Python -m uvicorn api.main:app --host 0.0.0.0 --port 8090\nsimon-pierreboucher 65986 0.0 0.0 441879808 1504 ?? S 11:17AM 0:00.00 grep uvicorn\nsimon-pierreboucher 65983 0.0 0.0 442200992 2656 ?? Ss 11:17AM 0:00.01 /bin/zsh -c source /Users/simon-pierreboucher/.claude/shell-snapshots/snapshot-zsh-1787671013272-a2ahd5.sh 2>/dev/null || true && setopt NO_EXTENDED_GLOB 2>/dev/null || true && eval 'ps aux | grep uvicorn || echo \"Pas de serveur actif\"' < /dev/null && pwd -P >| /tmp/claude-b5e7-cwd\nsimon-pierreboucher 35083 0.0 0.2 442443120 170000 ?? 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\n4\t \"Lou·Ka\n5\t

\n6\t

Lou·Ka

\n7\t

Tous les logements à louer

\n8\t\n9\t
\n10\t\n11\t\"Site\"\n12\t\"Documentation\"\n13\t\"PDF\"\n14\t\"Nœud\"\n15\t\"Port\"\n16\t\"PM2\"\n17\t\n18\t
\n19\t\n20\t
\n21\t\n22\t\"Annonces\n23\t\"Sources\n24\t\"Villes\n25\t\"Régions\n26\t\"Loyer\n27\t\"Géolocalisées\n28\t\"Couverture\n29\t\"Séjours\n30\t\n31\t
\n32\t\n33\t
\n34\t\n35\t\"Python\"\n36\t\"FastAPI\"\n37\t\"React\"\n38\t\"SQLite\"\n39\t\"Mapbox\n40\t\"ngrok\"\n41\t\"Groupe\n42\t\"spbgit\"\n43\t\n44\t
\n45\t\n46\tChercher un appartement au Québec, c'est ouvrir des dizaines de sites différents — chacun avec sa navigation, ses filtres, son format. **Lou·Ka retourne le problème** : un **connecteur dédié par gestionnaire immobilier** visite chaque site, **normalise chaque annonce** vers un schéma unique et **détecte les changements en continu** (synchronisation périodique + hash de contenu → ajouts, mises à jour et retraits automatiques ; une annonce disparue répond `410 Gone`). Chaque fiche renvoie vers l'annonce originale du gestionnaire via une passerelle de sortie transparente (`/passerelle/{uid}`).\n47\t\n48\tPour qui ? Les locataires qui cherchent (recherche filtrée, carte 3D, fiches complètes), les curieux du marché (observatoire des loyers, rapports PDF) et les gestionnaires (pages réclamables). **En chiffres (au 2026-08-24)** : 45 762 annonces actives publiées, 281 sources recensées, 250 connecteurs (221 location long terme + 29 court terme), 1 233 villes, 11 régions, 97,4 % des annonces géolocalisées, loyer médian 1 700 $ — plus **41 460 séjours court terme** (chalets, Airbnb…) dans la section `/court-terme`.\n49\t\n50\t## Visite guidée\n51\t\n52\t\n53\t \n54\t \n55\t \n56\t \n57\t \n58\t \n59\t \n60\t \n61\t \n62\t \n63\t \n64\t \n65\t \n66\t \n67\t \n68\t \n69\t \n70\t \n71\t \n72\t \n73\t \n74\t \n75\t \n76\t \n77\t \n78\t \n79\t \n80\t \n81\t \n82\t \n83\t \n84\t

Accueil — recherche et univers Lou·Ka (desktop)
Accueil — version mobile

Étape 1 · Cherchez depuis l'accueil
Étape 2 · Parcourez les résultats d'une ville

Étape 3 · Ouvrez la fiche d'un logement
Étape 4 · Suivez le marché sur /stats

Résultats de recherche — liste d'annonces filtrée
Vue carte 3D — clusters par prix moyen (ka-maps)

Fiche logement — photos, digest, badge marché, quartier
Registre des sources — chaque gestionnaire et sa synchro

Répertoire des villes (pages SEO)
Page ville — Québec

Observatoire du marché — loyers médians, KPI
Accueil — variante pleine page

Accueil mobile — variante pleine page
\n85\t\n86\t### App iOS native\n87\t\n88\t\n89\t \n90\t \n91\t \n92\t \n93\t \n94\t \n95\t \n96\t \n97\t \n98\t \n99\t

Accueil
Découverte
Carte

Fiche logement
Statistiques
Sources
\n100\t\n101\t## Fonctionnalités\n102\t\n103\t- **Recherche filtrée** — ville, quartier, type (3½, 4½…), loyer min/max, animaux, meublé, superficie, texte libre.\n104\t- **Vue carte 3D** — Lou-Ka Maps (framework `@groupe-ka/ka-maps`, moteur Mapbox GL JS) : clusters par prix moyen, « Rechercher dans cette zone », bascule 3D/2D, synchro liste ↔ carte.\n105\t- **Fiches complètes** — toutes les photos, digest structuré de la description (text mining regex FR, aucun LLM), badge marché, historique de prix (`price_log`), fiche PDF avec QR code.\n106\t- **Couches de données de quartier** — recensement 2021, registre des loyers (57 433 déclarations géocodées), inondation (BDZI), criminalité (SPVM, 12 mois par catégorie), qualité de l'air (RSQAQ/PST), prix de l'essence, commerces et transport en commun (métro/REM aux couleurs officielles), estimation Hydro-Québec live, **KA Scores** (95,5 % du parc couvert au 2026-08-24).\n107\t- **Location court terme** — section isolée `/court-terme` (sous-système `louka/shortterm/`, API `/api/ct/*`) : chalets, Airbnb (quadrillage carte quadtree limité à la frontière du Québec), Vrbo, Booking… 41 460 séjours, 22 sources actives sur 38 recensées, 27 régions (au 2026-08-24) ; SEO complet (JSON-LD `VacationRental`, sitemaps `sitemap-ct-N.xml`).\n108\t- **Pages villes SEO** — `/villes`, `/ville/{slug}`, `/ville/{slug}/{type}` en SSR léger, sitemaps dynamiques (chunks de 10 000), JSON-LD (`RealEstateListing` + `Offer` CAD), vrais `404`/`410`.\n109\t- **Observatoire du marché** — KPI temps réel, loyers médians par région/ville/taille, panneaux territoire (registre des loyers, population, essence), rapport de marché PDF multi-pages (`/api/stats/rapport.pdf`) et rapports PDF personnalisés (catalogue + `ReportBuilder`).\n110\t- **Registre des sources** — chaque gestionnaire, son statut, sa dernière synchro ; toute source non connectable est documentée avec sa raison dans `data/sources.json` (281 entrées recensées).\n111\t- **Qualité éditoriale** — porte de pertinence (quarantaine des stationnements, garages, locaux commerciaux, locations à la nuit) : 59 668 annonces publiées / 1 175 en quarantaine, complétude moyenne 91,4 % (au 2026-08-24).\n112\t- **Comptes & SSO KA** — « Se connecter avec KA » via le hub groupe-ka.com (JWT HS256, `ka_id` émis par le hub) + Google OAuth direct ; favoris synchronisés vers « Mon univers Ka » ; pages gestionnaires réclamables (`/g/{source_id}`).\n113\t- **Widget KA Agent** — bulle de chat IA du Groupe KA intégrée au site (déplaçable, position mémorisée).\n114\t- **PWA installable** + app iOS SwiftUI 100 % native (dépôt séparé `lou-ka-ios` sur spbgit).\n115\t- **Robustesse** — garde-fou anti-dérive (`DRIFT_RATIO = 0.25`, `louka/db.py`) : si une source retourne soudainement beaucoup moins d'annonces, les retraits sont suspendus au lieu de vider l'inventaire ; chaîne de fetch anti-bot résiliente (Oxylabs → Scrapfly → Bright Data).\n116\t\n117\t## API (endpoints principaux)\n118\t\n119\tServis par `louka/web.py` (FastAPI) sur le port 8095.\n120\t\n121\t### Location long terme\n122\t\n123\t| Méthode | Endpoint | Rôle |\n124\t|---|---|---|\n125\t| `GET` | `/api/search` | recherche unifiée liste ↔ carte (mêmes filtres, même compteur) |\n126\t| `GET` | `/api/listings` · `/api/listings/{uid}` | annonces paginées + fiche détaillée (`410 Gone` si retirée) |\n127\t| `GET` | `/api/listings.geojson` | flux GeoJSON pour la carte 3D |\n128\t| `GET` | `/api/listings/{uid}/pdf` | fiche PDF avec QR code |\n129\t| `GET` | `/api/facets` · `/api/sources` | facettes de filtres, registre des sources |\n130\t| `GET` | `/api/fairvalue/{uid}` | badge marché (juste prix) d'une annonce |\n131\t| `GET` | `/api/rdl` · `/api/inondation` · `/api/air` · `/api/gaz` · `/api/commerces` · `/api/hydro` | couches de quartier : registre des loyers, BDZI, qualité de l'air, essence, commerces/transport, estimation Hydro-Québec |\n132\t| `GET` | `/api/kascores/stats` | statistiques du moteur KA Scores |\n133\t| `GET` | `/api/stats` · `/detailed` · `/dashboard` · `/report` · `/catalog` | observatoire : KPI, détail, tableau de bord, rapports |\n134\t| `POST` | `/api/stats/report/custom` | rapport PDF personnalisé (ReportBuilder) |\n135\t| `GET` | `/api/stats/rapport.pdf` | rapport de marché PDF multi-pages |\n136\t| `POST` | `/api/sync` | déclenchement d'une synchronisation |\n137\t| `GET` | `/doc/` | guide d'utilisation en ligne |\n138\t\n139\t### Location court terme (`/api/ct`, préfixe du sous-système `louka/shortterm/`)\n140\t\n141\t| Méthode | Endpoint | Rôle |\n142\t|---|---|---|\n143\t| `GET` | `/api/ct/listings` · `/api/ct/listings/{uid}` | séjours paginés + fiche détaillée |\n144\t| `GET` | `/api/ct/listings.geojson` | flux GeoJSON de la carte court terme |\n145\t| `GET` | `/api/ct/facets` · `/api/ct/sources` | facettes, registre des sources court terme |\n146\t| `GET` | `/api/ct/stats` | KPI court terme (total, sources, régions, prix/nuit) |\n147\t| `POST` | `/api/ct/sync` | déclenchement d'une synchronisation court terme |\n148\t\n149\t## Architecture\n150\t\n\n\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n\n"}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"974196d7-6681-4ca3-98ca-14e2b426260a","timestamp":"2026-08-25T15:17:58.566Z"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","description":"Running git -C /Users/simon-pierreboucher/apps/lou-ka log…","usage":{"total_tokens":65504,"tool_uses":55,"duration_ms":45644},"last_tool_name":"Bash","uuid":"8f1a1f9a-f73f-4c64-adf2-dce41fcf02c5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-haiku-4-5-20251001","id":"msg_011CePgxDar9khPrQTkg8TyN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M9CohBFrPHAfJJW1NUEzbi","name":"Bash","input":{"command":"git -C /Users/simon-pierreboucher/apps/lou-ka log --oneline --all | head -20"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1223,"cache_creation_input_tokens":1513,"cache_read_input_tokens":62593,"cache_creation":{"ephemeral_5m_input_tokens":1513,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"35a136e6-eabf-461b-aa82-61487a52a270"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M9CohBFrPHAfJJW1NUEzbi","type":"tool_result","content":"063972a Nav v2 correctif : le ✕ de fermeture vit DANS le panneau (fixe, toujours visible)\ncfd288a Nav mobile v2 : le dropdown 480px devient un panneau plein écran fixed\n1bd92b7 Overpass : miroirs de repli maps.mail.ru et openstreetmap.fr (poi, env, commerces)\n8312322 managers: tolérer `type` en liste dans les fiches SerpApi (multi-catégories)\n4b7aa7c Campagne connecteurs province 2026-08-24 : 149 nouveaux connecteurs (+3 685 annonces)\nb458982 Recherche connecteurs province (2026-08-24) : 111 nouveaux sites vérifiés + 61 écarts doc→connecteurs\nd646d5a [ka2] fix connecteur lynk_olymbec: échec transitoire de /units journalisé comme échec (plus de passage « ok » à 0 annonce) + repli Scrapfly après Firecrawl\nbfe6fe2 footer: ajout Ka·Stats (www.ka-stats.com) à l'écosystème\ncd9f3fc Stats : panneaux « enrichissements de la fiche » (KA Scores, juste valeur, historique des prix, court terme, gestionnaires, annuaire déménageurs)\n7e29e36 Annuaire des déménageurs du Québec : page /demenageurs (565 entreprises, 17 régions)\n29b06e9 feat(fiche): dossier d'intelligence locative — passe sharp desktop/mobile + PDF complet\na58cabd [ka2] fix connecteur kangalou: retry + timeout 90s sur le POST pins (~6 Mo) — ReadTimeout transitoire non couvert par l'escalade get()\n521837e feat(fiche): styles du dossier d'intelligence locative — coût réel, historique, immeuble, gestionnaire, hiver\n0ee1a2d [ka2] snapshot pré-mission kangalou\n8efd8cb [ka2] snapshot pré-mission immobilia\n6ff906e feat(pdf): fiche PDF complète — analyse de prix, registre, TAL, environnement, KA Scores\n872a202 feat(design): passe « éditorial sharp » sur la fiche — cartes, KPI, tableaux, pastilles\n6a6acdf feat(tal): historique du Tribunal administratif du logement par adresse\n438b294 docs: README v3 — chiffres live vérifiés, pastilles dynamiques, sections complètes\n5b2bff8 [ka2] fix connecteur beaudoin: échouer franchement sur erreur transitoire (page 1 / taxonomie ville) au lieu d'un faux succès à 0 annonce","is_error":false}]},"parent_tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"baf02769-87a2-4719-835c-0b6552f27eb3","timestamp":"2026-08-25T15:17:58.769Z"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"aead51718793ed142","tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","status":"completed","output_file":"","summary":"Cartographier lou-ka en profondeur","usage":{"total_tokens":71814,"tool_uses":55,"duration_ms":94349},"uuid":"056a8718-df23-4f77-b96e-ef12c9ff3d37","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DxYfKCfnf7gcAgC7J9BEh5","type":"tool_result","content":[{"type":"text","text":"Excellent. J'ai maintenant une très bonne compréhension du système. Laissez-moi compiler mon rapport.\n\n## CARTOGRAPHIE LOU-KA — RAPPORT EXPLORATOIRE\n\n### 1. ARCHITECTURE CONNECTEURS\n\n**Localisation** : `/louka/connectors/` + `/louka/shortterm/connectors/` \n**Nombre** : 373 connecteurs long terme (LT) + 32 court terme (CT) = 405 total\n\n**Découverte automatique** : `/louka/connectors/__init__.py:11-25` \nTous les modules contenant une sous-classe de `BaseConnector` avec `source_id` non vide sont enregistrés dans `CONNECTORS` (dict). Aucun fichier de registre à modifier — la découverte est par introspection.\n\n**Classe de base** : `/louka/connectors/base.py:24-145` \n- `source_id` : identifiant unique \n- `request_delay` : throttling poli (défaut 0,6 s) \n- `fetch()` : retourne `list[Listing]` (implémenté par chaque connecteur) \n- Backends : `get()` / `post()` / `get_rendered()` (Firecrawl) / `scrapfly()` (JS + ASP)\n\n**Schéma d'annonce normalisée** : `/louka/schema.py:45-159` (`Listing` dataclass) \nChamps clés :\n- `source`, `external_id`, `url`\n- `title`, `address`, `sector`, `city`\n- `unit_type` (ex. \"3½\"), `bedrooms`, `bathrooms`\n- `price` (mensuel CAD), `price_label` (texte brut)\n- `availability_date` (ISO ou \"now\")\n- `area_sqft`, `pets`, `furnished`\n- `description`, `digest` (text mining), `amenities` (JSON), `details` (structuré), `images` (URLs)\n- `lat`, `lng` (géocodées)\n\n**Normalisation** : `finalize()` (l:84-159) \n- Prix brut → numérique (parse_price) \n- Adresse, secteur, ville → canonique (clean_*) \n- Text mining sur description + amenities \n- Bornes géo Québec (44,5 ≤ lat ≤ 63 ; -80 ≤ lng ≤ -56)\n\n**Exemples représentatifs** :\n\n1. **Simple** : `/louka/connectors/brio.py` (Les Immeubles Brio, mono-immeuble) \n - 2 requêtes : homepage (prix par type) + page annonces (hotspots disponibilité) \n - Parse HTML simple, pas de cache détail\n\n2. **Complexe** : `/louka/connectors/kangalou.py` (Kangalou, ~8 700 annonces) \n - 1 req pins (JSON API) → toutes les annonces \n - N reqs fiches (SSR, cache TtlDetailCache pour les ~8 000 suivantes) \n - Parsing HTML avancé (regex togglers, galerie pleine résolution) \n - Budget/TTL configurable (`LOUKA_KANGALOU_DETAIL_LIMIT`, `_TTL_DAYS`)\n\n3. **Très complexe** : `/louka/connectors/zumper.py` (~50 lignes de commentaires) \n - API JSON interne (triple appel : bundle → POST /pages/listables → GET /buildings/{id}) \n - CSRF + throttling (429 tolérés) \n - Recherche par bbox régionales (Montréal, Québec-Lévis…)\n\n**Orchestration** : `/louka/ingest.py:39-88` \n`run(sources)` → pour chaque connecteur :\n1. Appel `fetch()` → liste complète\n2. `finalize()` sur chaque annonce\n3. `db.sync_source()` → diff avec DB, ajouts/updates/retraits détectés via hash\n4. Disjoncteur (circuit breaker) : 5 échecs consécutifs = source sautée, retentée 1 sur 5\n\n**Enregistrement** : `/data/sources.json` (281 sources cataloguées) \nChamp clés : `id`, `name`, `connector`, `status`, `region`, `sectors`\n\n---\n\n### 2. SCHÉMA DE DONNÉES\n\n**Base principale** : `/data/louka.db` (SQLite, 1,58 GB, WAL mode)\n\n**Table listings** (colonnes principales) :\n```\nuid (TEXT PK), source, external_id, url, title, address, sector, city,\nunit_type, bedrooms, bathrooms, price (REAL), price_label, \navailability, availability_date, area_sqft, pets, furnished (INT),\ndescription, images (JSON), amenities (JSON), details (JSON), \nlat, lng, content_hash, first_seen, last_seen, updated_at, active (INT),\ngeocode_failed, miss_count, dauid, digest, dup_of, dup_sources,\ncompleteness (REAL), published (INT), quality_reasons (JSON),\nimages_ok (JSON), img_audit (JSON), coord_key, building_key\n```\n\n**Indices** : source, city, active, geo (lat+lng), published, coord_key, building_key\n\n**Pas de champ `rental_type` / `price_period`** : Le système long terme (louka.db) suppose prix MENSUEL exclusivement. Les locations courtes sont exclues par `quality.py` (voir point 3).\n\n**Base court terme** : `/data/louka_ct.db` (238 MB)\n\n**Table st_listings** :\n```\nuid, source, external_id, url, title, property_type,\naddress, city, region (touristische),\nprice_night (REAL), price_label,\ncapacity, bedrooms, beds, bathrooms, pets, citq (n° établissement),\nrating, reviews, description, amenities (JSON), details (JSON : spa/pool/waterfront/wifi/fireplace/ev_charger),\nimages (JSON), lat, lng, content_hash, first_seen, last_seen, updated_at,\nmiss_count, active (INT)\n```\n\n**Autres tables** :\n- `sync_log` / `st_sync_log` : journalisation des syncs (source, ok, message, ts)\n- `image_checks` : cache URLs vérifiées\n- `detail_cache` : pages détail par source (TTL configurable)\n- `poi_cache`, `inondation`, `air`, `gaz`, `hydro`, `tal`, `quartier` : données enrichies\n\n---\n\n### 3. QUALITY.PY\n\n**Signature** : `/louka/quality.py:82-125` \n`relevance_reason(d: dict) -> str | None`\n\n**Logique de quarantaine \"court terme\"** : \nLignes 76-79 (regex `_RE_NIGHTLY`) : Cherche `\"tarif par nuit|prix par nuit|par nuit et non par mois|location à la nuit|court terme seulement\"` \nLignes 122-124 (check final) :\n```python\nif priced and price < 600 and _RE_NIGHTLY.search(desc):\n return \"hors sujet : location à la nuit / court terme\"\n```\n\n**Autres motifs de quarantaine** :\n- Stationnement/garage/local (titre ou description) — lignes 101-114\n- Local commercial/bureau — lignes 115-117\n- Prix non résidentiel — lignes 118-121\n\n**Appels** : `/louka/quality.py:231-237` (fonction `evaluate()`) puis `/louka/ingest.py:112-113` (pipeline watch → `quality.backfill()`)\n\n**Stats (au 2026-08-24)** : 59 668 publiées / 1 175 en quarantaine (~2 % rejets)\n\n---\n\n### 4. FRONTEND\n\n**Stack** : React 18 + TypeScript + Vite + Mapbox GL JS \n**Port production** : 8095 (PM2, nœud M3U96b) \n**Backend** : FastAPI (louka/web.py) ← même port, SSR + API JSON\n\n**Pages détail — Listing.tsx** : `/frontend/src/pages/Listing.tsx` \nStructure DOM (mobile-first, identique desktop/mobile) :\n1. Galerie (carousel, thumbs)\n2. Prix + badge marché + adresse + chips\n3. CTA / PDF\n4. Description (digest text-miné)\n5. Inclusions (chauffage, électricité…)\n6. Détails pratiques (superficie, dispo, animaux)\n7. Analyse de prix (KA Score vs secteur)\n8. Emplacement (carte Mapbox lazy-loaded)\n9. KA Scores (walk/transit/bike/calme/services)\n10. Quartier (stats recensement, RDL, criminalité…)\n11. À proximité (POI : épicerie, école, gym…)\n\n**Composants clés** :\n- `SmartImg` : images responsives + fallback\n- `FairValueBadge` : badge marché (-15% ≤ bon deal ≤ +10% vs secteur)\n- `PriceAnalysis` : historique prix\n- `KaScoresBlock` : 5 scores + détail\n- `QuartierBlock` : stats quartier + liens RDL/TAL\n- Lazy-loaded : `ListingMap3D`, `HydroEstimation`, `CommercesProches`…\n\n**Page court terme — CourtTermeFiche.tsx** : `/frontend/src/pages/CourtTermeFiche.tsx` \nStructure similaire :\n1. Galerie (images à la nuit)\n2. Prix/nuit + titre + chips (type, capacité, chambres, lits)\n3. CTA + description\n4. Commodités (spa, piscine, Wi-Fi, foyer…)\n5. Détails (animaux, CITQ, note/avis)\n6. Carte\n\n**API JSON** :\n- `/api/listings` : liste paginée (filtres : city, unit_type, price_min/max, pets…)\n- `/api/listings/{uid}` : fiche détaillée (410 Gone si retirée)\n- `/api/listings.geojson` : flux pour carte 3D\n- `/api/facets` : facettes (villes, types, secteurs, fourchettes prix)\n- `/api/ct/listings`, `/api/ct/listings/{uid}`, `/api/ct/listings.geojson` : équivalents court terme\n\n---\n\n### 5. RUN.PY\n\n**Commandes disponibles** :\n```\nsync [source ...] # synchro long terme (défaut: toutes sources)\nwatch [minutes] # boucle (défaut: 60 min)\nsync-ct [source ...] # synchro court terme\nwatch-ct [minutes] # boucle (défaut: 360 min)\nserve [port] # API + frontend (défaut: 8080)\nrecord # enregistre fixtures de test\ngeocode [n] # batch Adresses Québec\npoi [n] # commodités de proximité\nenv [n] # données OSM par tuile\nkascores [all] # calcule KA Scores\nbuildings # passeport immeubles\nmanagers [budget_s] # fiche gestionnaires + avis\nquality # score complétude + publication\nimgaudit [n] [source] # contrôle qualité images\nfairvalue # juste valeur locative\ntal [n] [budget_s] # TAL historique par adresse\nhydro-precompute [n] [b] # estimation électricité\nrdl, air-refresh, gaz-refresh, inondation-build\n```\n\n---\n\n### 6. ENRICHISSEMENTS (modules louka/)\n\n| Module | Rôle | Champs/Tables |\n|--------|------|---------------|\n| **poi.py** | Commodités de proximité (Overpass/OSM) → immeuble | `poi_cache` (épicerie, école, gym…) |\n| **quartier.py** | Aire de diffusion + stats récens. 2021 + RDL + crime | `listings.dauid`, `quartier.db` (da_stats, crime_mtl…) |\n| **kascores.py** | KA Scores (Walk/Transit/Bike/Calme/Services, 0-100) | `listings.ka_scores` (JSON), `kascores_data` |\n| **fairvalue.py** | Juste valeur locative (N1=segment, N2=ajust. caract., N3=kNN) | `listings.fair_value`, `fv_evaluation` |\n| **environment.py** | Tuiles OSM (routes, cyclable, bars, POI…) | `environment.db` (cache 3 mois) |\n| **hydro.py** | Estimation Hydro-Québec (coût annuel électricité) | `hydro.db` (cleUnique → coût estimé, TTL 180 j) |\n| **tal.py** | Décisions Tribunal administratif logement (SOQUIJ) | `tal.db` (tal_lookup, tal_decisions par adresse) |\n| **managers.py** | Gestionnaires : Google Maps + avis SerpApi | `managers`, `manager_reviews` (contenu + sentiment) |\n| **imgcheck.py** | Audit images (liens morts, taille min, placeholders) | `listings.images_ok` (galerie nettoyée), `image_checks` |\n| **building.py** | Passeport immeuble (building_key + stats) | `building_stats` (nb unités, prix min/max…) |\n| **dedup.py** | Déduplication inter-sources (par adresse) | `listings.dup_of`, `dup_sources` (JSON) |\n| **geocode.py** | Géocodage adresses (Adresses Québec batch) | `listings.lat`, `listings.lng`, `geocode_cache` |\n| **textmine.py** | Extraction text mining description (sections, mots-clés) | `listings.digest` (sections structurées) |\n\n---\n\n### 7. TRACES EXISTANTES « COURT TERME »\n\n**Détection** : `quality.py:77-79, 123-124` — regex `_RE_NIGHTLY` vire les annonces « à la nuit » \n**Mention chalets** : `quality.py:40-45` vocab logement inclut « chalet » \n**Mention Airbnb** : Néant dans louka.py ; `shortterm/schema.py:26` liste `PROPERTY_TYPES` = \"Chalet\", \"Maison\", \"Condo\"… \n**Base séparée** : `/data/louka_ct.db` depuis ≥ août 2025 (`louka/shortterm/` créé) \n**Connecteurs CT** : 32 dans `/louka/shortterm/connectors/` — airbnb.py, booking.py, chaletsalouer.py, glampinghub.py, expedia.py… \n**Frontend CT** : Pages `/court-terme`, `CourtTerme.tsx`, `CourtTermeFiche.tsx`, API `/api/ct/*` \n**SEO CT** : `/louka/seo.py:234-241` génère `JSON-LD VacationRental` + sitemaps dynamiques\n\n---\n\n### SYNTHÈSE POUR L'UPGRADE\n\n**Point de départ** : Deux sous-systèmes déjà séparés (long terme = `louka.db`, court terme = `louka_ct.db`), 32 connecteurs CT existants, API `/api/ct/*` et pages UI opérationnelles.\n\n**À enrichir** :\n- **Connecteurs LT** : 373 exist., y ajouter des « micro-séjours » (AirBnB à Québec, Vrbo…) qui ne sont PAS détectés comme « hors sujet »\n- **Schéma listings LT** : Ajouter optionnel `rental_type` / `price_period` pour futurs cas d'usage (locations 3-5 jours ≠ nuit mais ≠ mois)\n- **Fiches LT** : Enrichir avec prix/nuit (si applicable) + badge « aussi disponible au court terme »\n- **Quality.py** : Ajuster seuil prix bas + contexte (ex. « 400 $/nuit vs 300 $/mois = 2 produits différents »)\n\nL'architecture est **très solide et extensible** — pas de refactoring critique demandé, juste des intégrations additionnelles."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f1682050-edef-4e42-ad78-149d39245574","timestamp":"2026-08-25T15:18:47.420Z","tool_use_result":{"status":"completed","prompt":"Explore le repo /Users/simon-pierreboucher/apps/lou-ka (thoroughness: very thorough). C'est Lou-Ka, un site d'annonces de logements à louer au mois au Québec. Je prépare un gros upgrade : (a) ajouter une catégorie « location court terme » (chalets, Airbnb-like, séjours à la nuit/semaine) avec de nouveaux connecteurs, (b) enrichir les connecteurs existants, (c) améliorer le rendu des fiches (pages détail). J'ai besoin d'une cartographie factuelle, pas d'un plan.\n\nRapporte précisément :\n\n1. **Architecture connecteurs** : où vivent les connecteurs (louka/connectors/ ? actors/ ?), combien il y en a, la classe/interface de base (fichier:ligne), le format d'une annonce normalisée (champs), comment un connecteur est enregistré/découvert, et 2-3 exemples représentatifs de connecteurs (un simple, un complexe). Comment `run.py sync` (ou équivalent) les orchestre.\n\n2. **Schéma de données** : tables SQLite principales (data/*.db), colonnes de la table des annonces (listings ?), y a-t-il déjà un champ type de location / durée / rental_type / price_period ? Comment le prix est stocké (mensuel seulement ?).\n\n3. **quality.py** : signature et logique de `relevance_reason()` — cite les motifs qui quarantainent le « court terme / à la nuit » (fichier:lignes exactes), et où cette fonction est appelée.\n\n4. **Frontend** : stack (statique ? framework ?), fichiers clés du rendu des fiches détail (page logement) — templates/JS/CSS, structure des sections actuelles (galerie, prix, description, analyses, carte, KA scores, quartier...), comment les données arrivent au frontend (API ? JSON générés ?). Le serveur (port, PM2 ?).\n\n5. **run.py** : liste des commandes disponibles.\n\n6. **Enrichissements existants** : modules louka/ (poi, env, kascores, fairvalue, quartier, tal, hydro, managers, imgaudit...) — une ligne chacun sur ce qu'ils font et les champs/tables qu'ils remplissent.\n\n7. Y a-t-il déjà des traces de « court terme » dans le code (recherche « court terme », « nuit », « chalet », « airbnb », « short » ) ?\n\nRéponds en français, structuré, avec chemins de fichiers et numéros de lignes. Max ~1200 mots.","agentId":"aead51718793ed142","agentType":"Explore","content":[{"type":"text","text":"Excellent. J'ai maintenant une très bonne compréhension du système. Laissez-moi compiler mon rapport.\n\n## CARTOGRAPHIE LOU-KA — RAPPORT EXPLORATOIRE\n\n### 1. ARCHITECTURE CONNECTEURS\n\n**Localisation** : `/louka/connectors/` + `/louka/shortterm/connectors/` \n**Nombre** : 373 connecteurs long terme (LT) + 32 court terme (CT) = 405 total\n\n**Découverte automatique** : `/louka/connectors/__init__.py:11-25` \nTous les modules contenant une sous-classe de `BaseConnector` avec `source_id` non vide sont enregistrés dans `CONNECTORS` (dict). Aucun fichier de registre à modifier — la découverte est par introspection.\n\n**Classe de base** : `/louka/connectors/base.py:24-145` \n- `source_id` : identifiant unique \n- `request_delay` : throttling poli (défaut 0,6 s) \n- `fetch()` : retourne `list[Listing]` (implémenté par chaque connecteur) \n- Backends : `get()` / `post()` / `get_rendered()` (Firecrawl) / `scrapfly()` (JS + ASP)\n\n**Schéma d'annonce normalisée** : `/louka/schema.py:45-159` (`Listing` dataclass) \nChamps clés :\n- `source`, `external_id`, `url`\n- `title`, `address`, `sector`, `city`\n- `unit_type` (ex. \"3½\"), `bedrooms`, `bathrooms`\n- `price` (mensuel CAD), `price_label` (texte brut)\n- `availability_date` (ISO ou \"now\")\n- `area_sqft`, `pets`, `furnished`\n- `description`, `digest` (text mining), `amenities` (JSON), `details` (structuré), `images` (URLs)\n- `lat`, `lng` (géocodées)\n\n**Normalisation** : `finalize()` (l:84-159) \n- Prix brut → numérique (parse_price) \n- Adresse, secteur, ville → canonique (clean_*) \n- Text mining sur description + amenities \n- Bornes géo Québec (44,5 ≤ lat ≤ 63 ; -80 ≤ lng ≤ -56)\n\n**Exemples représentatifs** :\n\n1. **Simple** : `/louka/connectors/brio.py` (Les Immeubles Brio, mono-immeuble) \n - 2 requêtes : homepage (prix par type) + page annonces (hotspots disponibilité) \n - Parse HTML simple, pas de cache détail\n\n2. **Complexe** : `/louka/connectors/kangalou.py` (Kangalou, ~8 700 annonces) \n - 1 req pins (JSON API) → toutes les annonces \n - N reqs fiches (SSR, cache TtlDetailCache pour les ~8 000 suivantes) \n - Parsing HTML avancé (regex togglers, galerie pleine résolution) \n - Budget/TTL configurable (`LOUKA_KANGALOU_DETAIL_LIMIT`, `_TTL_DAYS`)\n\n3. **Très complexe** : `/louka/connectors/zumper.py` (~50 lignes de commentaires) \n - API JSON interne (triple appel : bundle → POST /pages/listables → GET /buildings/{id}) \n - CSRF + throttling (429 tolérés) \n - Recherche par bbox régionales (Montréal, Québec-Lévis…)\n\n**Orchestration** : `/louka/ingest.py:39-88` \n`run(sources)` → pour chaque connecteur :\n1. Appel `fetch()` → liste complète\n2. `finalize()` sur chaque annonce\n3. `db.sync_source()` → diff avec DB, ajouts/updates/retraits détectés via hash\n4. Disjoncteur (circuit breaker) : 5 échecs consécutifs = source sautée, retentée 1 sur 5\n\n**Enregistrement** : `/data/sources.json` (281 sources cataloguées) \nChamp clés : `id`, `name`, `connector`, `status`, `region`, `sectors`\n\n---\n\n### 2. SCHÉMA DE DONNÉES\n\n**Base principale** : `/data/louka.db` (SQLite, 1,58 GB, WAL mode)\n\n**Table listings** (colonnes principales) :\n```\nuid (TEXT PK), source, external_id, url, title, address, sector, city,\nunit_type, bedrooms, bathrooms, price (REAL), price_label, \navailability, availability_date, area_sqft, pets, furnished (INT),\ndescription, images (JSON), amenities (JSON), details (JSON), \nlat, lng, content_hash, first_seen, last_seen, updated_at, active (INT),\ngeocode_failed, miss_count, dauid, digest, dup_of, dup_sources,\ncompleteness (REAL), published (INT), quality_reasons (JSON),\nimages_ok (JSON), img_audit (JSON), coord_key, building_key\n```\n\n**Indices** : source, city, active, geo (lat+lng), published, coord_key, building_key\n\n**Pas de champ `rental_type` / `price_period`** : Le système long terme (louka.db) suppose prix MENSUEL exclusivement. Les locations courtes sont exclues par `quality.py` (voir point 3).\n\n**Base court terme** : `/data/louka_ct.db` (238 MB)\n\n**Table st_listings** :\n```\nuid, source, external_id, url, title, property_type,\naddress, city, region (touristische),\nprice_night (REAL), price_label,\ncapacity, bedrooms, beds, bathrooms, pets, citq (n° établissement),\nrating, reviews, description, amenities (JSON), details (JSON : spa/pool/waterfront/wifi/fireplace/ev_charger),\nimages (JSON), lat, lng, content_hash, first_seen, last_seen, updated_at,\nmiss_count, active (INT)\n```\n\n**Autres tables** :\n- `sync_log` / `st_sync_log` : journalisation des syncs (source, ok, message, ts)\n- `image_checks` : cache URLs vérifiées\n- `detail_cache` : pages détail par source (TTL configurable)\n- `poi_cache`, `inondation`, `air`, `gaz`, `hydro`, `tal`, `quartier` : données enrichies\n\n---\n\n### 3. QUALITY.PY\n\n**Signature** : `/louka/quality.py:82-125` \n`relevance_reason(d: dict) -> str | None`\n\n**Logique de quarantaine \"court terme\"** : \nLignes 76-79 (regex `_RE_NIGHTLY`) : Cherche `\"tarif par nuit|prix par nuit|par nuit et non par mois|location à la nuit|court terme seulement\"` \nLignes 122-124 (check final) :\n```python\nif priced and price < 600 and _RE_NIGHTLY.search(desc):\n return \"hors sujet : location à la nuit / court terme\"\n```\n\n**Autres motifs de quarantaine** :\n- Stationnement/garage/local (titre ou description) — lignes 101-114\n- Local commercial/bureau — lignes 115-117\n- Prix non résidentiel — lignes 118-121\n\n**Appels** : `/louka/quality.py:231-237` (fonction `evaluate()`) puis `/louka/ingest.py:112-113` (pipeline watch → `quality.backfill()`)\n\n**Stats (au 2026-08-24)** : 59 668 publiées / 1 175 en quarantaine (~2 % rejets)\n\n---\n\n### 4. FRONTEND\n\n**Stack** : React 18 + TypeScript + Vite + Mapbox GL JS \n**Port production** : 8095 (PM2, nœud M3U96b) \n**Backend** : FastAPI (louka/web.py) ← même port, SSR + API JSON\n\n**Pages détail — Listing.tsx** : `/frontend/src/pages/Listing.tsx` \nStructure DOM (mobile-first, identique desktop/mobile) :\n1. Galerie (carousel, thumbs)\n2. Prix + badge marché + adresse + chips\n3. CTA / PDF\n4. Description (digest text-miné)\n5. Inclusions (chauffage, électricité…)\n6. Détails pratiques (superficie, dispo, animaux)\n7. Analyse de prix (KA Score vs secteur)\n8. Emplacement (carte Mapbox lazy-loaded)\n9. KA Scores (walk/transit/bike/calme/services)\n10. Quartier (stats recensement, RDL, criminalité…)\n11. À proximité (POI : épicerie, école, gym…)\n\n**Composants clés** :\n- `SmartImg` : images responsives + fallback\n- `FairValueBadge` : badge marché (-15% ≤ bon deal ≤ +10% vs secteur)\n- `PriceAnalysis` : historique prix\n- `KaScoresBlock` : 5 scores + détail\n- `QuartierBlock` : stats quartier + liens RDL/TAL\n- Lazy-loaded : `ListingMap3D`, `HydroEstimation`, `CommercesProches`…\n\n**Page court terme — CourtTermeFiche.tsx** : `/frontend/src/pages/CourtTermeFiche.tsx` \nStructure similaire :\n1. Galerie (images à la nuit)\n2. Prix/nuit + titre + chips (type, capacité, chambres, lits)\n3. CTA + description\n4. Commodités (spa, piscine, Wi-Fi, foyer…)\n5. Détails (animaux, CITQ, note/avis)\n6. Carte\n\n**API JSON** :\n- `/api/listings` : liste paginée (filtres : city, unit_type, price_min/max, pets…)\n- `/api/listings/{uid}` : fiche détaillée (410 Gone si retirée)\n- `/api/listings.geojson` : flux pour carte 3D\n- `/api/facets` : facettes (villes, types, secteurs, fourchettes prix)\n- `/api/ct/listings`, `/api/ct/listings/{uid}`, `/api/ct/listings.geojson` : équivalents court terme\n\n---\n\n### 5. RUN.PY\n\n**Commandes disponibles** :\n```\nsync [source ...] # synchro long terme (défaut: toutes sources)\nwatch [minutes] # boucle (défaut: 60 min)\nsync-ct [source ...] # synchro court terme\nwatch-ct [minutes] # boucle (défaut: 360 min)\nserve [port] # API + frontend (défaut: 8080)\nrecord # enregistre fixtures de test\ngeocode [n] # batch Adresses Québec\npoi [n] # commodités de proximité\nenv [n] # données OSM par tuile\nkascores [all] # calcule KA Scores\nbuildings # passeport immeubles\nmanagers [budget_s] # fiche gestionnaires + avis\nquality # score complétude + publication\nimgaudit [n] [source] # contrôle qualité images\nfairvalue # juste valeur locative\ntal [n] [budget_s] # TAL historique par adresse\nhydro-precompute [n] [b] # estimation électricité\nrdl, air-refresh, gaz-refresh, inondation-build\n```\n\n---\n\n### 6. ENRICHISSEMENTS (modules louka/)\n\n| Module | Rôle | Champs/Tables |\n|--------|------|---------------|\n| **poi.py** | Commodités de proximité (Overpass/OSM) → immeuble | `poi_cache` (épicerie, école, gym…) |\n| **quartier.py** | Aire de diffusion + stats récens. 2021 + RDL + crime | `listings.dauid`, `quartier.db` (da_stats, crime_mtl…) |\n| **kascores.py** | KA Scores (Walk/Transit/Bike/Calme/Services, 0-100) | `listings.ka_scores` (JSON), `kascores_data` |\n| **fairvalue.py** | Juste valeur locative (N1=segment, N2=ajust. caract., N3=kNN) | `listings.fair_value`, `fv_evaluation` |\n| **environment.py** | Tuiles OSM (routes, cyclable, bars, POI…) | `environment.db` (cache 3 mois) |\n| **hydro.py** | Estimation Hydro-Québec (coût annuel électricité) | `hydro.db` (cleUnique → coût estimé, TTL 180 j) |\n| **tal.py** | Décisions Tribunal administratif logement (SOQUIJ) | `tal.db` (tal_lookup, tal_decisions par adresse) |\n| **managers.py** | Gestionnaires : Google Maps + avis SerpApi | `managers`, `manager_reviews` (contenu + sentiment) |\n| **imgcheck.py** | Audit images (liens morts, taille min, placeholders) | `listings.images_ok` (galerie nettoyée), `image_checks` |\n| **building.py** | Passeport immeuble (building_key + stats) | `building_stats` (nb unités, prix min/max…) |\n| **dedup.py** | Déduplication inter-sources (par adresse) | `listings.dup_of`, `dup_sources` (JSON) |\n| **geocode.py** | Géocodage adresses (Adresses Québec batch) | `listings.lat`, `listings.lng`, `geocode_cache` |\n| **textmine.py** | Extraction text mining description (sections, mots-clés) | `listings.digest` (sections structurées) |\n\n---\n\n### 7. TRACES EXISTANTES « COURT TERME »\n\n**Détection** : `quality.py:77-79, 123-124` — regex `_RE_NIGHTLY` vire les annonces « à la nuit » \n**Mention chalets** : `quality.py:40-45` vocab logement inclut « chalet » \n**Mention Airbnb** : Néant dans louka.py ; `shortterm/schema.py:26` liste `PROPERTY_TYPES` = \"Chalet\", \"Maison\", \"Condo\"… \n**Base séparée** : `/data/louka_ct.db` depuis ≥ août 2025 (`louka/shortterm/` créé) \n**Connecteurs CT** : 32 dans `/louka/shortterm/connectors/` — airbnb.py, booking.py, chaletsalouer.py, glampinghub.py, expedia.py… \n**Frontend CT** : Pages `/court-terme`, `CourtTerme.tsx`, `CourtTermeFiche.tsx`, API `/api/ct/*` \n**SEO CT** : `/louka/seo.py:234-241` génère `JSON-LD VacationRental` + sitemaps dynamiques\n\n---\n\n### SYNTHÈSE POUR L'UPGRADE\n\n**Point de départ** : Deux sous-systèmes déjà séparés (long terme = `louka.db`, court terme = `louka_ct.db`), 32 connecteurs CT existants, API `/api/ct/*` et pages UI opérationnelles.\n\n**À enrichir** :\n- **Connecteurs LT** : 373 exist., y ajouter des « micro-séjours » (AirBnB à Québec, Vrbo…) qui ne sont PAS détectés comme « hors sujet »\n- **Schéma listings LT** : Ajouter optionnel `rental_type` / `price_period` pour futurs cas d'usage (locations 3-5 jours ≠ nuit mais ≠ mois)\n- **Fiches LT** : Enrichir avec prix/nuit (si applicable) + badge « aussi disponible au court terme »\n- **Quality.py** : Ajuster seuil prix bas + contexte (ex. « 400 $/nuit vs 300 $/mois = 2 produits différents »)\n\nL'architecture est **très solide et extensible** — pas de refactoring critique demandé, juste des intégrations 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X2YS5JujdN7H9aVxSKu8JY","type":"tool_result","content":"__init__.py\n__pycache__\nairbnb.py\nbase.py\nblueground.py\nbonjourquebec.py\nbooking.py\nchaletsalouer.py\nchaletsarabais.py\nchaletsauquebec.py\nchaletsdirect.py\nchaletsquebec.py\ncorporatestays.py\nexpedia.py\ngitespassant.py\nglampinghub.py\nhebergementquebec.py\nhipcamp.py\nkijiji.py\nlocationschalets.py\nmcal.py\nmonsieurchalets.py\nparcscanada.py\nqldc.py\nrsvpchalets.py\nsepaq.py\nsinistar.py\nsonder.py\ntremblantliving.py\ntripadvisor.py\nvrbo.py\nwechalet.py\n---\n__init__.py\n__pycache__\nconnectors\ndb.py\ningest.py\nschema.py\nweb.py","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a7b3ee42-b49b-4b2b-992c-313d365822ae","timestamp":"2026-08-25T15:19:06.803Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\nairbnb.py\nbase.py\nblueground.py\nbonjourquebec.py\nbooking.py\nchaletsalouer.py\nchaletsarabais.py\nchaletsauquebec.py\nchaletsdirect.py\nchaletsquebec.py\ncorporatestays.py\nexpedia.py\ngitespassant.py\nglampinghub.py\nhebergementquebec.py\nhipcamp.py\nkijiji.py\nlocationschalets.py\nmcal.py\nmonsieurchalets.py\nparcscanada.py\nqldc.py\nrsvpchalets.py\nsepaq.py\nsinistar.py\nsonder.py\ntremblantliving.py\ntripadvisor.py\nvrbo.py\nwechalet.py\n---\n__init__.py\n__pycache__\nconnectors\ndb.py\ningest.py\nschema.py\nweb.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh1xLgS257pzMhRXVV3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HahTtbv62wFc1qJ3QCNpNt","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nimport sqlite3, json\ndb = sqlite3.connect('data/louka_ct.db')\ndb.row_factory = sqlite3.Row\nprint(\"== counts par source ==\")\nfor r in db.execute(\"select source, count(*) n, sum(active) act from st_listings group by source order by n desc\"):\n print(f\"{r['source']:30s} {r['n']:6d} actifs={r['act']}\")\nprint(\"\\n== couverture champs (actifs) ==\")\nrow = db.execute(\"\"\"select count(*) n,\n sum(price_night is not null) prix, sum(lat is not null) geo,\n sum(description is not null and length(description)>50) descr,\n sum(images is not null and images!='[]') img,\n sum(rating is not null) rating, sum(citq is not null and citq!='') citq,\n sum(capacity is not null) cap, sum(amenities is not null and amenities not in ('[]','{}')) amen,\n sum(region is not null and region!='') region\n from st_listings where active=1\"\"\").fetchone()\nprint(dict(row))\nprint(\"\\n== schéma st_listings ==\")\nprint([c[1] for c in db.execute(\"pragma table_info(st_listings)\")])\nprint(\"\\n== derniers syncs ==\")\nfor r in db.execute(\"select source, ok, message, max(ts) ts from st_sync_log group by source order by ts desc limit 40\"):\n print(f\"{r['ts']} {r['source']:28s} ok={r['ok']} {str(r['message'])[:70]}\")\nEOF","description":"Statistiques base court terme"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6758,"cache_read_input_tokens":36065,"cache_creation":{"ephemeral_5m_input_tokens":6758,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f11d9aa3-822f-40f6-937a-a91572c559ad"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HahTtbv62wFc1qJ3QCNpNt","type":"tool_result","content":"== counts par source ==\nairbnb 20364 actifs=15263\nsinistar 5591 actifs=5591\nbonjourquebec 5000 actifs=5000\nchaletsauquebec 3803 actifs=3803\nchaletsalouer 3269 actifs=3269\nwechalet 2616 actifs=2616\nqldc 1716 actifs=1716\nrsvpchalets 734 actifs=734\nmonsieurchalets 649 actifs=649\nbooking 620 actifs=620\nsepaq 489 actifs=489\nchaletsarabais 485 actifs=485\nmcal 305 actifs=305\nexpedia 222 actifs=222\nglampinghub 206 actifs=206\nvrbo 183 actifs=183\nhipcamp 91 actifs=91\nparcscanada 75 actifs=75\ncorporatestays 47 actifs=47\ntremblant_living 37 actifs=37\nkijiji_ct 36 actifs=36\ngites_passant 23 actifs=23\n\n== couverture champs (actifs) ==\n{'n': 41460, 'prix': 26949, 'geo': 40197, 'descr': 21174, 'img': 41173, 'rating': 17259, 'citq': 16366, 'cap': 20575, 'amen': 24583, 'region': 38837}\n\n== schéma st_listings ==\n['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds', 'bathrooms', 'pets', 'citq', 'rating', 'reviews', 'description', 'amenities', 'details', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active']\n\n== derniers syncs ==\n1787464459.141557 sinistar ok=1 ok\n1787461117.290313 expedia ok=1 ok\n1787461001.855967 airbnb ok=1 ok\n1787460389.320781 kijiji_ct ok=1 ok\n1787460137.123517 gites_passant ok=1 ok\n1787460073.720135 tremblant_living ok=1 ok\n1787460048.674765 corporatestays ok=1 ok\n1787460047.148493 hipcamp ok=1 ok\n1787460046.5745878 parcscanada ok=1 ok\n1787459997.299096 glampinghub ok=1 ok\n1787449895.2589571 qldc ok=1 ok\n1787448105.6699789 bonjourquebec ok=1 ok\n1787447875.591172 mcal ok=1 ok\n1787447432.529331 chaletsalouer ok=1 ok\n1787447226.3638039 chaletsauquebec ok=1 ok\n1787447044.860299 rsvpchalets ok=1 ok\n1787446557.873617 chaletsarabais ok=1 ok\n1787445255.775994 monsieurchalets ok=1 ok\n1787444995.132962 vrbo ok=1 ok\n1787444693.2905579 sepaq ok=1 ok\n1787444667.140728 booking ok=1 ok\n1787444385.771509 wechalet ok=1 ok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ebe928c4-041a-4a43-98d0-b1c63c8bccd5","timestamp":"2026-08-25T15:19:13.097Z","tool_use_result":{"stdout":"== counts par source ==\nairbnb 20364 actifs=15263\nsinistar 5591 actifs=5591\nbonjourquebec 5000 actifs=5000\nchaletsauquebec 3803 actifs=3803\nchaletsalouer 3269 actifs=3269\nwechalet 2616 actifs=2616\nqldc 1716 actifs=1716\nrsvpchalets 734 actifs=734\nmonsieurchalets 649 actifs=649\nbooking 620 actifs=620\nsepaq 489 actifs=489\nchaletsarabais 485 actifs=485\nmcal 305 actifs=305\nexpedia 222 actifs=222\nglampinghub 206 actifs=206\nvrbo 183 actifs=183\nhipcamp 91 actifs=91\nparcscanada 75 actifs=75\ncorporatestays 47 actifs=47\ntremblant_living 37 actifs=37\nkijiji_ct 36 actifs=36\ngites_passant 23 actifs=23\n\n== couverture champs (actifs) ==\n{'n': 41460, 'prix': 26949, 'geo': 40197, 'descr': 21174, 'img': 41173, 'rating': 17259, 'citq': 16366, 'cap': 20575, 'amen': 24583, 'region': 38837}\n\n== schéma st_listings ==\n['uid', 'source', 'external_id', 'url', 'title', 'property_type', 'address', 'city', 'region', 'price_night', 'price_label', 'capacity', 'bedrooms', 'beds', 'bathrooms', 'pets', 'citq', 'rating', 'reviews', 'description', 'amenities', 'details', 'images', 'lat', 'lng', 'content_hash', 'first_seen', 'last_seen', 'updated_at', 'miss_count', 'active']\n\n== derniers syncs ==\n1787464459.141557 sinistar ok=1 ok\n1787461117.290313 expedia ok=1 ok\n1787461001.855967 airbnb ok=1 ok\n1787460389.320781 kijiji_ct ok=1 ok\n1787460137.123517 gites_passant ok=1 ok\n1787460073.720135 tremblant_living ok=1 ok\n1787460048.674765 corporatestays ok=1 ok\n1787460047.148493 hipcamp ok=1 ok\n1787460046.5745878 parcscanada ok=1 ok\n1787459997.299096 glampinghub ok=1 ok\n1787449895.2589571 qldc ok=1 ok\n1787448105.6699789 bonjourquebec ok=1 ok\n1787447875.591172 mcal ok=1 ok\n1787447432.529331 chaletsalouer ok=1 ok\n1787447226.3638039 chaletsauquebec ok=1 ok\n1787447044.860299 rsvpchalets ok=1 ok\n1787446557.873617 chaletsarabais ok=1 ok\n1787445255.775994 monsieurchalets ok=1 ok\n1787444995.132962 vrbo ok=1 ok\n1787444693.2905579 sepaq ok=1 ok\n1787444667.140728 booking ok=1 ok\n1787444385.771509 wechalet ok=1 ok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2475a800-4a0d-431e-bd38-b194634abb8e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh3qZCJSLJmfakqYbmA","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3261,"cache_read_input_tokens":42823,"cache_creation":{"ephemeral_5m_input_tokens":3261,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2f526943-7a3a-4f90-9bb6-22624e9988c1"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh3qZCJSLJmfakqYbmA","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3261,"cache_read_input_tokens":42823,"cache_creation":{"ephemeral_5m_input_tokens":3261,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"537840a0-0cd0-49ef-b15f-8746ee29bbfa"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh3qZCJSLJmfakqYbmA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UreTmkymiJRHunGvZwKn7W","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nimport sqlite3\ndb = sqlite3.connect('data/louka_ct.db')\ndb.row_factory = sqlite3.Row\nprint(f\"{'source':22s} {'n':>6s} {'prix%':>6s} {'desc%':>6s} {'cap%':>6s} {'amen%':>6s} {'img%':>5s} {'geo%':>5s} {'note%':>6s}\")\nfor r in db.execute(\"\"\"select source, count(*) n,\n 100*sum(price_night is not null)/count(*) p,\n 100*sum(description is not null and length(description)>50)/count(*) d,\n 100*sum(capacity is not null)/count(*) c,\n 100*sum(amenities is not null and amenities not in ('[]','{}','null'))/count(*) a,\n 100*sum(images is not null and images not in ('[]','null'))/count(*) i,\n 100*sum(lat is not null)/count(*) g,\n 100*sum(rating is not null)/count(*) rt\n from st_listings where active=1 group by source order by n desc\"\"\"):\n print(f\"{r['source']:22s} {r['n']:6d} {r['p']:6d} {r['d']:6d} {r['c']:6d} {r['a']:6d} {r['i']:5d} {r['g']:5d} {r['rt']:6d}\")\nprint(\"\\n== erreurs récentes sync_log (sources ko ou absentes) ==\")\nfor r in db.execute(\"select source, ok, message, datetime(ts,'unixepoch') t from st_sync_log where ok=0 order by ts desc limit 30\"):\n print(f\"{r['t']} {r['source']:24s} {str(r['message'])[:90]}\")\nEOF","description":"Couverture champs par source CT et erreurs sync"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3261,"cache_read_input_tokens":42823,"cache_creation":{"ephemeral_5m_input_tokens":3261,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3545688f-a083-4f46-8b0c-5281e9bd0f4f"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UreTmkymiJRHunGvZwKn7W","type":"tool_result","content":"source n prix% desc% cap% amen% img% geo% note%\nairbnb 15263 99 0 0 0 100 100 90\nsinistar 5591 0 83 94 94 99 100 0\nbonjourquebec 5000 0 57 0 99 100 100 0\nchaletsauquebec 3803 60 99 100 99 99 99 35\nchaletsalouer 3269 70 99 100 99 100 90 0\nwechalet 2616 99 97 100 100 100 100 25\nqldc 1716 42 99 100 100 99 99 0\nrsvpchalets 734 66 100 100 100 98 98 13\nmonsieurchalets 649 99 81 100 81 100 100 60\nbooking 620 100 0 91 0 100 100 85\nsepaq 489 99 0 95 100 100 1 0\nchaletsarabais 485 79 99 99 98 99 99 0\nmcal 305 98 100 100 100 100 95 0\nexpedia 222 76 0 80 0 50 0 90\nglampinghub 206 100 0 100 100 100 100 20\nvrbo 183 100 0 0 0 17 0 91\nhipcamp 91 96 97 98 100 100 100 0\nparcscanada 75 88 100 97 0 90 100 0\ncorporatestays 47 100 100 100 100 100 100 10\ntremblant_living 37 0 100 100 100 100 100 97\nkijiji_ct 36 22 100 80 0 100 100 0\ngites_passant 23 0 100 0 0 100 0 0\n\n== erreurs récentes sync_log (sources ko ou absentes) ==","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2364b7aa-ed02-463c-b9f8-d87e82578fb1","timestamp":"2026-08-25T15:19:46.964Z","tool_use_result":{"stdout":"source n prix% desc% cap% amen% img% geo% note%\nairbnb 15263 99 0 0 0 100 100 90\nsinistar 5591 0 83 94 94 99 100 0\nbonjourquebec 5000 0 57 0 99 100 100 0\nchaletsauquebec 3803 60 99 100 99 99 99 35\nchaletsalouer 3269 70 99 100 99 100 90 0\nwechalet 2616 99 97 100 100 100 100 25\nqldc 1716 42 99 100 100 99 99 0\nrsvpchalets 734 66 100 100 100 98 98 13\nmonsieurchalets 649 99 81 100 81 100 100 60\nbooking 620 100 0 91 0 100 100 85\nsepaq 489 99 0 95 100 100 1 0\nchaletsarabais 485 79 99 99 98 99 99 0\nmcal 305 98 100 100 100 100 95 0\nexpedia 222 76 0 80 0 50 0 90\nglampinghub 206 100 0 100 100 100 100 20\nvrbo 183 100 0 0 0 17 0 91\nhipcamp 91 96 97 98 100 100 100 0\nparcscanada 75 88 100 97 0 90 100 0\ncorporatestays 47 100 100 100 100 100 100 10\ntremblant_living 37 0 100 100 100 100 100 97\nkijiji_ct 36 22 100 80 0 100 100 0\ngites_passant 23 0 100 0 0 100 0 0\n\n== erreurs récentes sync_log (sources ko ou absentes) ==","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh3qZCJSLJmfakqYbmA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QfF7tkBwgDjTzgVak2cAib","name":"Bash","input":{"command":"wc -l louka/shortterm/connectors/*.py | sort -n | tail -35 && echo --- && head -60 louka/shortterm/connectors/base.py","description":"Taille des connecteurs CT et 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louka/shortterm/connectors/tripadvisor.py\n 44 louka/shortterm/connectors/base.py\n 163 louka/shortterm/connectors/tremblantliving.py\n 177 louka/shortterm/connectors/glampinghub.py\n 190 louka/shortterm/connectors/rsvpchalets.py\n 191 louka/shortterm/connectors/vrbo.py\n 193 louka/shortterm/connectors/wechalet.py\n 194 louka/shortterm/connectors/mcal.py\n 194 louka/shortterm/connectors/parcscanada.py\n 201 louka/shortterm/connectors/corporatestays.py\n 210 louka/shortterm/connectors/booking.py\n 222 louka/shortterm/connectors/chaletsarabais.py\n 224 louka/shortterm/connectors/chaletsauquebec.py\n 224 louka/shortterm/connectors/gitespassant.py\n 226 louka/shortterm/connectors/sinistar.py\n 253 louka/shortterm/connectors/expedia.py\n 256 louka/shortterm/connectors/hipcamp.py\n 257 louka/shortterm/connectors/bonjourquebec.py\n 281 louka/shortterm/connectors/chaletsalouer.py\n 291 louka/shortterm/connectors/qldc.py\n 317 louka/shortterm/connectors/kijiji.py\n 341 louka/shortterm/connectors/monsieurchalets.py\n 349 louka/shortterm/connectors/sepaq.py\n 457 louka/shortterm/connectors/airbnb.py\n 5674 total\n---\n# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/base.py : classe de base des connecteurs court terme.\n# Hérite des backends de fetch de BaseConnector (get direct + escalade\n# anti-bot Oxylabs→Scrapfly→Bright Data, get_rendered, scrapfly) mais son\n# cache détail vit dans la base court terme (louka_ct.db) et son contrat\n# retourne des StListing.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nfrom ...connectors.base import BaseConnector\nfrom ..schema import StListing\n\n\nclass StConnector(BaseConnector):\n \"\"\"Un connecteur court terme = un adaptateur propre à une plateforme\n d'hébergement (chalets, séjours, gîtes…).\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste des hébergements actuellement affichés. Le pipeline\n (shortterm/ingest.py) s'occupe du diff avec la base court terme.\n \"\"\"\n\n source_id: str = \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Cache détail dans louka_ct.db (jamais dans la base long terme).\"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n raise NotImplementedError","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4a9d7935-694d-46be-9c7c-2629988bd275","timestamp":"2026-08-25T15:19:47.669Z","tool_use_result":{"stdout":" 22 louka/shortterm/connectors/chaletsdirect.py\n 24 louka/shortterm/connectors/chaletsquebec.py\n 24 louka/shortterm/connectors/locationschalets.py\n 28 louka/shortterm/connectors/blueground.py\n 30 louka/shortterm/connectors/__init__.py\n 30 louka/shortterm/connectors/hebergementquebec.py\n 30 louka/shortterm/connectors/sonder.py\n 31 louka/shortterm/connectors/tripadvisor.py\n 44 louka/shortterm/connectors/base.py\n 163 louka/shortterm/connectors/tremblantliving.py\n 177 louka/shortterm/connectors/glampinghub.py\n 190 louka/shortterm/connectors/rsvpchalets.py\n 191 louka/shortterm/connectors/vrbo.py\n 193 louka/shortterm/connectors/wechalet.py\n 194 louka/shortterm/connectors/mcal.py\n 194 louka/shortterm/connectors/parcscanada.py\n 201 louka/shortterm/connectors/corporatestays.py\n 210 louka/shortterm/connectors/booking.py\n 222 louka/shortterm/connectors/chaletsarabais.py\n 224 louka/shortterm/connectors/chaletsauquebec.py\n 224 louka/shortterm/connectors/gitespassant.py\n 226 louka/shortterm/connectors/sinistar.py\n 253 louka/shortterm/connectors/expedia.py\n 256 louka/shortterm/connectors/hipcamp.py\n 257 louka/shortterm/connectors/bonjourquebec.py\n 281 louka/shortterm/connectors/chaletsalouer.py\n 291 louka/shortterm/connectors/qldc.py\n 317 louka/shortterm/connectors/kijiji.py\n 341 louka/shortterm/connectors/monsieurchalets.py\n 349 louka/shortterm/connectors/sepaq.py\n 457 louka/shortterm/connectors/airbnb.py\n 5674 total\n---\n# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/base.py : classe de base des connecteurs court terme.\n# Hérite des backends de fetch de BaseConnector (get direct + escalade\n# anti-bot Oxylabs→Scrapfly→Bright Data, get_rendered, scrapfly) mais son\n# cache détail vit dans la base court terme (louka_ct.db) et son contrat\n# retourne des StListing.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nfrom ...connectors.base import BaseConnector\nfrom ..schema import StListing\n\n\nclass StConnector(BaseConnector):\n \"\"\"Un connecteur court terme = un adaptateur propre à une plateforme\n d'hébergement (chalets, séjours, gîtes…).\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste des hébergements actuellement affichés. Le pipeline\n (shortterm/ingest.py) s'occupe du diff avec la base court terme.\n \"\"\"\n\n source_id: str = \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Cache détail dans louka_ct.db (jamais dans la base long terme).\"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n raise NotImplementedError","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} 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hébergement court terme.\n\nChaque connecteur court terme produit des objets `StListing`. `finalize()`\napplique la normalisation commune (prix à la nuit, région touristique,\ncommodités dérivées, bornes géographiques du Québec).\n\"\"\"\nfrom __future__ import annotations\n\nimport hashlib\nimport html as _html\nimport json\nimport re\nfrom dataclasses import dataclass, field, asdict\n\nfrom ..normalize import strip_accents\n\n# Types canoniques d'hébergement (affichage + filtre)\nPROPERTY_TYPES = [\n \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",\n]\n\n# Régions touristiques du Québec (canoniques)\nREGIONS = [\n \"Abitibi-Témiscamingue\", \"Bas-Saint-Laurent\", \"Cantons-de-l'Est\",\n \"Centre-du-Québec\", \"Charlevoix\", \"Chaudière-Appalaches\", \"Côte-Nord\",\n \"Eeyou Istchee Baie-James\", \"Gaspésie\", \"Îles-de-la-Madeleine\",\n \"Lanaudière\", \"Laurentides\", \"Laval\", \"Mauricie\", \"Montérégie\",\n \"Montréal\", \"Nord-du-Québec\", \"Nunavik\", \"Outaouais\", \"Québec\",\n \"Saguenay–Lac-Saint-Jean\",\n]\n\n_REGION_KEYS = {strip_accents(r).lower().replace(\"–\", \"-\").replace(\"'\", \"\"): r\n for r in REGIONS}\n_REGION_ALIASES = {\n \"estrie\": \"Cantons-de-l'Est\",\n \"cantons de lest\": \"Cantons-de-l'Est\",\n \"saguenay\": \"Saguenay–Lac-Saint-Jean\",\n \"lac saint jean\": \"Saguenay–Lac-Saint-Jean\",\n \"lac-saint-jean\": \"Saguenay–Lac-Saint-Jean\",\n \"region de quebec\": \"Québec\",\n \"ville de quebec\": \"Québec\",\n \"capitale nationale\": \"Québec\",\n \"grand montreal\": \"Montréal\",\n \"iles de la madeleine\": \"Îles-de-la-Madeleine\",\n \"baie james\": \"Eeyou Istchee Baie-James\",\n}\n\n\ndef normalize_region(raw: str) -> str:\n \"\"\"Ramène un libellé de région libre vers la forme canonique (\"\" si inconnu).\"\"\"\n if not raw:\n return \"\"\n key = strip_accents(raw).lower().strip()\n key = re.sub(r\"[–—]\", \"-\", key).replace(\"'\", \"\").replace(\"’\", \"\")\n key = re.sub(r\"\\s+\", \" \", key)\n if key in _REGION_ALIASES:\n return _REGION_ALIASES[key]\n k2 = key.replace(\" \", \"-\")\n if k2 in _REGION_KEYS:\n return _REGION_KEYS[k2]\n if key in _REGION_KEYS:\n return _REGION_KEYS[key]\n for rk, canon in _REGION_KEYS.items():\n if rk.replace(\"-\", \" \") == key.replace(\"-\", \" \"):\n return canon\n return raw.strip()\n\n\n_PRICE_RE = re.compile(r\"(\\d[\\d\\s,.  ]*)\\s*\\$\")\n\n\ndef parse_price_night(label: str) -> float | None:\n \"\"\"Extrait un prix à la nuit d'un libellé (« 189 $ / nuit », « à partir de 250$ »).\"\"\"\n if not label:","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ec44ffa4-d575-46f4-b129-520bfcb0b4fe","timestamp":"2026-08-25T15:20:13.554Z","tool_use_result":{"stdout":"ka-apartments-com\nka-fb-marketplace\n# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# schema.py : modèle standardisé d'un hébergement court terme (StListing)\n# -----------------------------------------------------------------------------\n\"\"\"Schéma standard d'un hébergement court terme.\n\nChaque connecteur court terme produit des objets `StListing`. `finalize()`\napplique la normalisation commune (prix à la nuit, région touristique,\ncommodités dérivées, bornes géographiques du Québec).\n\"\"\"\nfrom __future__ import annotations\n\nimport hashlib\nimport html as _html\nimport json\nimport re\nfrom dataclasses import dataclass, field, asdict\n\nfrom ..normalize import strip_accents\n\n# Types canoniques d'hébergement (affichage + filtre)\nPROPERTY_TYPES = [\n \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",\n]\n\n# Régions touristiques du Québec (canoniques)\nREGIONS = [\n \"Abitibi-Témiscamingue\", \"Bas-Saint-Laurent\", \"Cantons-de-l'Est\",\n \"Centre-du-Québec\", \"Charlevoix\", \"Chaudière-Appalaches\", \"Côte-Nord\",\n \"Eeyou Istchee Baie-James\", \"Gaspésie\", \"Îles-de-la-Madeleine\",\n \"Lanaudière\", \"Laurentides\", \"Laval\", \"Mauricie\", \"Montérégie\",\n \"Montréal\", \"Nord-du-Québec\", \"Nunavik\", \"Outaouais\", \"Québec\",\n \"Saguenay–Lac-Saint-Jean\",\n]\n\n_REGION_KEYS = {strip_accents(r).lower().replace(\"–\", \"-\").replace(\"'\", \"\"): r\n for r in REGIONS}\n_REGION_ALIASES = {\n \"estrie\": \"Cantons-de-l'Est\",\n \"cantons de lest\": \"Cantons-de-l'Est\",\n \"saguenay\": \"Saguenay–Lac-Saint-Jean\",\n \"lac saint jean\": \"Saguenay–Lac-Saint-Jean\",\n \"lac-saint-jean\": \"Saguenay–Lac-Saint-Jean\",\n \"region de quebec\": \"Québec\",\n \"ville de quebec\": \"Québec\",\n \"capitale nationale\": \"Québec\",\n \"grand montreal\": \"Montréal\",\n \"iles de la madeleine\": \"Îles-de-la-Madeleine\",\n \"baie james\": \"Eeyou Istchee Baie-James\",\n}\n\n\ndef normalize_region(raw: str) -> str:\n \"\"\"Ramène un libellé de région libre vers la forme canonique (\"\" si inconnu).\"\"\"\n if not raw:\n return \"\"\n key = strip_accents(raw).lower().strip()\n key = re.sub(r\"[–—]\", \"-\", key).replace(\"'\", \"\").replace(\"’\", \"\")\n key = re.sub(r\"\\s+\", \" \", key)\n if key in _REGION_ALIASES:\n return _REGION_ALIASES[key]\n k2 = key.replace(\" \", \"-\")\n if k2 in _REGION_KEYS:\n return _REGION_KEYS[k2]\n if key in _REGION_KEYS:\n return _REGION_KEYS[key]\n for rk, canon in _REGION_KEYS.items():\n if rk.replace(\"-\", \" \") == key.replace(\"-\", \" \"):\n return canon\n return raw.strip()\n\n\n_PRICE_RE = re.compile(r\"(\\d[\\d\\s,.  ]*)\\s*\\$\")\n\n\ndef parse_price_night(label: str) -> float | None:\n \"\"\"Extrait un prix à la nuit d'un libellé (« 189 $ / nuit », « à partir de 250$ »).\"\"\"\n if not label:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"81b8ecf0-aa2f-440a-bcf2-aa4d47a0ec7c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh8Hw4innmzc4Sr1rrp","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":56478,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":56478,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5cb181f8-2359-4203-b39a-98ff0e807b8f"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh8Hw4innmzc4Sr1rrp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017AYxZJ2EFELKFzqCdMoZT5","name":"TodoWrite","input":{"todos":[{"content":"Auditer l'existant court terme (sources, couverture, stubs)","status":"completed","activeForm":"Auditant l'existant court terme"},{"content":"Découvrir de nouvelles sources CT québécoises (Serper/Tavily)","status":"pending","activeForm":"Découvrant de nouvelles sources CT"},{"content":"Enrichir les gros connecteurs existants (airbnb, sinistar, bonjourquebec, booking, vrbo, expedia, sepaq…)","status":"pending","activeForm":"Enrichissant les connecteurs existants"},{"content":"Implémenter les 7 connecteurs squelettes ou les retirer","status":"pending","activeForm":"Implémentant les connecteurs squelettes"},{"content":"Écrire les nouveaux connecteurs issus de la découverte","status":"pending","activeForm":"Écrivant les nouveaux connecteurs"},{"content":"Améliorer le rendu des fiches court terme (CourtTermeFiche.tsx + API)","status":"pending","activeForm":"Améliorant le rendu des fiches CT"},{"content":"Syncs de test, build frontend, pm2 restart, healthcheck","status":"pending","activeForm":"Testant, buildant et redéployant"},{"content":"Commit + push origin main","status":"pending","activeForm":"Committant et poussant"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":56478,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":56478,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3d132a46-3b9a-4e0d-aadd-fa43b42bebce"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017AYxZJ2EFELKFzqCdMoZT5","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"525ae181-5010-4999-8d5a-86f2802e6475","timestamp":"2026-08-25T15:20:24.175Z","tool_use_result":{"oldTodos":[],"newTodos":[{"content":"Auditer l'existant court terme (sources, couverture, stubs)","status":"completed","activeForm":"Auditant l'existant court terme"},{"content":"Découvrir de nouvelles sources CT québécoises (Serper/Tavily)","status":"pending","activeForm":"Découvrant de nouvelles sources CT"},{"content":"Enrichir les gros connecteurs existants (airbnb, sinistar, bonjourquebec, booking, vrbo, expedia, sepaq…)","status":"pending","activeForm":"Enrichissant les connecteurs existants"},{"content":"Implémenter les 7 connecteurs squelettes ou les retirer","status":"pending","activeForm":"Implémentant les connecteurs squelettes"},{"content":"Écrire les nouveaux connecteurs issus de la découverte","status":"pending","activeForm":"Écrivant les nouveaux connecteurs"},{"content":"Améliorer le rendu des fiches court terme (CourtTermeFiche.tsx + API)","status":"pending","activeForm":"Améliorant le rendu des fiches CT"},{"content":"Syncs de test, build frontend, pm2 restart, healthcheck","status":"pending","activeForm":"Testant, buildant et redéployant"},{"content":"Commit + push origin main","status":"pending","activeForm":"Committant et poussant"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f9f4a74a-70c1-4457-abcd-e389bb16e6ec","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh96M5y9Dwh7ZVGdV7Q","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS3AIKpwEIERgCKkAdKxdozrY1H3+eewGnU//kw77UG8S5/UiJ0NAhQJsxD4zpfJXzQJCKYH2nr33bfLH27JQFH2tksMg3It9FXS6CMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAG85bbUBrABAhIMm8JMs4HYhrMWdj/mGgxI+yM+gBEvBMmEF6ciMDASX3qON/7PEQjC2fkCJc6ptX3orKvIrVEVNRWQ+/trngqKYcsG1oE8xf5Uwao12ypipdIajbINpXc6jHvdujGGwA5kxO5tW2IGS9bVzbUVuzV5w8/kuKc7VwBpMJwyFfc4sUzaa1n+UKevFhEcbc3YLJ0CFHEmOJsc0SLCDa5FohVngCaQlVeeOOFv7Emh2rPZZfQYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":788,"cache_read_input_tokens":56478,"cache_creation":{"ephemeral_5m_input_tokens":788,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7df4f593-9765-475b-8f34-9cf7fc1e12eb"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh96M5y9Dwh7ZVGdV7Q","type":"message","role":"assistant","content":[{"type":"text","text":"Je lance la découverte de nouvelles sources en arrière-plan pendant que j'examine la fiche CT actuelle."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":788,"cache_read_input_tokens":56478,"cache_creation":{"ephemeral_5m_input_tokens":788,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"01563735-a29a-4cd8-a555-c29bed7ed4ad"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh96M5y9Dwh7ZVGdV7Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","name":"Agent","input":{"description":"Découverte sources court terme QC","run_in_background":true,"prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas d'écriture de code) : découvrir de NOUVELLES sources d'annonces de location court terme au Québec (chalets, gîtes, prêt-à-camper, condos de villégiature, séjours à la nuit/semaine) pour écrire de futurs connecteurs Python.\n\nSources DÉJÀ couvertes (ne pas re-proposer) : airbnb, booking, vrbo, expedia, tripadvisor, sinistar, bonjourquebec, chaletsalouer (chaletsalouer.com), chaletsarabais, chaletsauquebec, chaletsdirect, chaletsquebec, locationschalets, wechalet, monsieurchalets, rsvpchalets, qldc (quebeclocationdechalets?), mcal, sepaq, parcscanada, glampinghub, hipcamp, kijiji, gitespassant (gitesetauberges du passant / terroiretsaveurs?), hebergementquebec, corporatestays, sonder, blueground, tremblantliving, sinistar.\n\nOutils dispo (clés dans l'env, déjà exportées) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'` et `https://api.tavily.com/map` avec `{\"url\":\"...\"}`\n\nDémarche : requêtes variées (ex. « location chalet », « chalet à louer spa Laurentides », « réservation gîte Charlevoix », « location condo Tremblant Mont-Sainte-Anne Bromont », « hébergement pourvoirie Québec », agences régionales : Charlevoix, Gaspésie, Cantons-de-l'Est, Saguenay, Bas-Saint-Laurent, Outaouais, Mauricie, Lanaudière, Côte-Nord…). Cherche : agrégateurs/annuaires multi-propriétés, agences de gestion locative régionales (10+ propriétés), plateformes de réservation (Lodgify/Guesty/Hostaway/Avantio/WordPress+plugin — repère le moteur), pourvoiries, campings/prêt-à-camper.\n\nPour chaque candidat prometteur, VÉRIFIE avec curl que le site répond et regarde vite (curl + grep) : combien de propriétés (~), la structure (liste HTML ? API JSON ? sitemap ?), s'il y a un sitemap.xml exploitable, et si le HTML se récupère sans anti-bot (200 direct).\n\nRends un rapport : tableau des 20-35 meilleurs candidats avec : nom, URL, région(s), ~nb propriétés, type de moteur/structure, difficulté d'extraction estimée (facile/moyen/dur), URL de liste ou d'API repérée. Classe par (volume × facilité). Max 1500 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":788,"cache_read_input_tokens":56478,"cache_creation":{"ephemeral_5m_input_tokens":788,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a71e7058-db46-44cb-9d67-736370b5914b"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Découverte sources court terme QC","task_type":"local_agent","prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas d'écriture de code) : découvrir de NOUVELLES sources d'annonces de location court terme au Québec (chalets, gîtes, prêt-à-camper, condos de villégiature, séjours à la nuit/semaine) pour écrire de futurs connecteurs Python.\n\nSources DÉJÀ couvertes (ne pas re-proposer) : airbnb, booking, vrbo, expedia, tripadvisor, sinistar, bonjourquebec, chaletsalouer (chaletsalouer.com), chaletsarabais, chaletsauquebec, chaletsdirect, chaletsquebec, locationschalets, wechalet, monsieurchalets, rsvpchalets, qldc (quebeclocationdechalets?), mcal, sepaq, parcscanada, glampinghub, hipcamp, kijiji, gitespassant (gitesetauberges du passant / terroiretsaveurs?), hebergementquebec, corporatestays, sonder, blueground, tremblantliving, sinistar.\n\nOutils dispo (clés dans l'env, déjà exportées) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'` et `https://api.tavily.com/map` avec `{\"url\":\"...\"}`\n\nDémarche : requêtes variées (ex. « location chalet », « chalet à louer spa Laurentides », « réservation gîte Charlevoix », « location condo Tremblant Mont-Sainte-Anne Bromont », « hébergement pourvoirie Québec », agences régionales : Charlevoix, Gaspésie, Cantons-de-l'Est, Saguenay, Bas-Saint-Laurent, Outaouais, Mauricie, Lanaudière, Côte-Nord…). Cherche : agrégateurs/annuaires multi-propriétés, agences de gestion locative régionales (10+ propriétés), plateformes de réservation (Lodgify/Guesty/Hostaway/Avantio/WordPress+plugin — repère le moteur), pourvoiries, campings/prêt-à-camper.\n\nPour chaque candidat prometteur, VÉRIFIE avec curl que le site répond et regarde vite (curl + grep) : combien de propriétés (~), la structure (liste HTML ? API JSON ? sitemap ?), s'il y a un sitemap.xml exploitable, et si le HTML se récupère sans anti-bot (200 direct).\n\nRends un rapport : tableau des 20-35 meilleurs candidats avec : nom, URL, région(s), ~nb propriétés, type de moteur/structure, difficulté d'extraction estimée (facile/moyen/dur), URL de liste ou d'API repérée. Classe par (volume × facilité). Max 1500 mots.","uuid":"071f64f1-47ad-458d-88bb-5b454bbf5c23","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: af1d91b11f220b552 (internal ID - do not mention to user. Use SendMessage with to: 'af1d91b11f220b552' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/af1d91b11f220b552.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d4543f28-6470-44f9-8eda-d88c6f7f3060","timestamp":"2026-08-25T15:20:48.907Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"af1d91b11f220b552","description":"Découverte sources court terme QC","prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas d'écriture de code) : découvrir de NOUVELLES sources d'annonces de location court terme au Québec (chalets, gîtes, prêt-à-camper, condos de villégiature, séjours à la nuit/semaine) pour écrire de futurs connecteurs Python.\n\nSources DÉJÀ couvertes (ne pas re-proposer) : airbnb, booking, vrbo, expedia, tripadvisor, sinistar, bonjourquebec, chaletsalouer (chaletsalouer.com), chaletsarabais, chaletsauquebec, chaletsdirect, chaletsquebec, locationschalets, wechalet, monsieurchalets, rsvpchalets, qldc (quebeclocationdechalets?), mcal, sepaq, parcscanada, glampinghub, hipcamp, kijiji, gitespassant (gitesetauberges du passant / terroiretsaveurs?), hebergementquebec, corporatestays, sonder, blueground, tremblantliving, sinistar.\n\nOutils dispo (clés dans l'env, déjà exportées) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'` et `https://api.tavily.com/map` avec `{\"url\":\"...\"}`\n\nDémarche : requêtes variées (ex. « location chalet », « chalet à louer spa Laurentides », « réservation gîte Charlevoix », « location condo Tremblant Mont-Sainte-Anne Bromont », « hébergement pourvoirie Québec », agences régionales : Charlevoix, Gaspésie, Cantons-de-l'Est, Saguenay, Bas-Saint-Laurent, Outaouais, Mauricie, Lanaudière, Côte-Nord…). Cherche : agrégateurs/annuaires multi-propriétés, agences de gestion locative régionales (10+ propriétés), plateformes de réservation (Lodgify/Guesty/Hostaway/Avantio/WordPress+plugin — repère le moteur), pourvoiries, campings/prêt-à-camper.\n\nPour chaque candidat prometteur, VÉRIFIE avec curl que le site répond et regarde vite (curl + grep) : combien de propriétés (~), la structure (liste HTML ? API JSON ? sitemap ?), s'il y a un sitemap.xml exploitable, et si le HTML se récupère sans anti-bot (200 direct).\n\nRends un rapport : tableau des 20-35 meilleurs candidats avec : nom, URL, région(s), ~nb propriétés, type de moteur/structure, difficulté d'extraction estimée (facile/moyen/dur), URL de liste ou d'API repérée. Classe par (volume × facilité). Max 1500 mots.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/af1d91b11f220b552.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePh96M5y9Dwh7ZVGdV7Q","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EeUjBXzGCGq66U6H4UFFUf","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":788,"cache_read_input_tokens":56478,"cache_creation":{"ephemeral_5m_input_tokens":788,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ea3c0cb7-0289-4a55-b6a8-32ff5e31b1e2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EeUjBXzGCGq66U6H4UFFUf","type":"tool_result","content":"1\t// -----------------------------------------------------------------------------\n2\t// Lou-Ka — Location court terme\n3\t// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n4\t// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n5\t// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n6\t// CTA → description → commodités → détails pratiques → carte.\n7\t// -----------------------------------------------------------------------------\n8\timport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\n9\timport { Link, useParams } from \"react-router-dom\";\n10\timport {\n11\t CtListing, ctSourceName, fetchCtListing, fetchCtSources, fmtNight,\n12\t registerCtSourceNames,\n13\t} from \"../ctapi\";\n14\timport SmartImg from \"../components/SmartImg\";\n15\timport { IcoAlert } from \"../components/Icons\";\n16\t\n17\tconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n18\t\n19\tconst NBSP = \" \";\n20\t\n21\tconst PETS_LABEL: Record = {\n22\t oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n23\t};\n24\t\n25\tconst DETAIL_LABELS: Record = {\n26\t spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n27\t wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n28\t};\n29\t\n30\tfunction Galerie({ images, titre, typeLabel }:\n31\t { images: string[]; titre: string; typeLabel?: string }) {\n32\t const [idx, setIdx] = useState(0);\n33\t const track = useRef(null);\n34\t\n35\t const onScroll = () => {\n36\t const el = track.current;\n37\t if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n38\t };\n39\t const goto = (i: number) =>\n40\t track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n41\t\n42\t if (images.length === 0)\n43\t return (\n44\t
\n45\t \n47\t
\n48\t );\n49\t\n50\t return (\n51\t <>\n52\t
\n53\t
\n54\t {images.map((u, i) => (\n55\t \n60\t ))}\n61\t
\n62\t {idx + 1}/{images.length}\n63\t {idx > 0 && (\n64\t \n65\t )}\n66\t {idx < images.length - 1 && (\n67\t \n68\t )}\n69\t
\n70\t {images.length > 1 && (\n71\t
\n72\t {images.map((u, i) => (\n73\t \n77\t ))}\n78\t
\n79\t )}\n80\t \n81\t );\n82\t}\n83\t\n84\texport default function CourtTermeFichePage() {\n85\t const { uid } = useParams<{ uid: string }>();\n86\t const [l, setL] = useState(null);\n87\t const [error, setError] = useState(null);\n88\t\n89\t useEffect(() => {\n90\t fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n91\t if (!uid) return;\n92\t fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n93\t window.scrollTo(0, 0);\n94\t }, [uid]);\n95\t\n96\t if (error)\n97\t return (\n98\t
\n99\t
\n100\t

Hébergement introuvable

\n101\t

{error}

\n102\t Retour au court terme\n103\t
\n104\t );\n105\t\n106\t if (!l)\n107\t return (\n108\t
\n109\t
\n110\t
\n111\t
\n112\t
\n113\t
\n114\t );\n115\t\n116\t const chips: string[] = [];\n117\t if (l.property_type) chips.push(l.property_type);\n118\t if (l.capacity) chips.push(`${l.capacity} personnes`);\n119\t if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n120\t if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n121\t if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n122\t if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n123\t if (l.citq) chips.push(`CITQ ${l.citq}`);\n124\t\n125\t const flags = Object.entries(DETAIL_LABELS)\n126\t .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n127\t .map(([, label]) => label);\n128\t const autres = l.amenities.filter(\n129\t (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n130\t\n131\t const synced = l.last_seen\n132\t ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n133\t day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n134\t\n135\t return (\n136\t
\n137\t \n142\t\n143\t
\n144\t
\n145\t
\n146\t \n148\t
\n149\t\n150\t
\n151\t
\n152\t {fmtNight(l.price_night, l.price_label)}\n153\t {l.price_night != null && /{NBSP}nuit}\n154\t
\n155\t {l.rating != null && (\n156\t
\n157\t ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n158\t {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n159\t
\n160\t )}\n161\t

{l.title}

\n162\t
\n163\t {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n164\t
\n165\t
\n166\t {chips.map((c) => {c})}\n167\t
\n168\t \n170\t Réserver chez {ctSourceName(l.source)} ↗\n171\t \n172\t
\n173\t\n174\t
\n175\t

Description

\n176\t {l.description\n177\t ?

{l.description}

\n178\t :

La source ne fournit pas de description pour cet hébergement.

}\n179\t
\n180\t\n181\t
\n182\t

Commodités

\n183\t
\n184\t {flags.map((b) => (\n185\t ✓ {b}\n186\t ))}\n187\t {autres.map((a) => (\n188\t {a}\n189\t ))}\n190\t
\n191\t {flags.length === 0 && autres.length === 0 && (\n192\t

La source ne précise pas les commodités.

\n193\t )}\n194\t
\n195\t\n196\t
\n197\t

Détails pratiques

\n198\t
\n199\t
Plateforme
{ctSourceName(l.source)}
\n200\t {l.price_label && (\n201\t
Prix affiché
{l.price_label}
\n202\t )}\n203\t {l.citq && (\n204\t
Enregistrement CITQ
{l.citq}
\n205\t )}\n206\t {synced && (\n207\t
Synchronisé
{synced}
\n208\t )}\n209\t
\n210\t {!l.citq && (\n211\t

\n212\t Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n213\t établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n214\t numéro affiché sur l'annonce originale avant de réserver.\n215\t

\n216\t )}\n217\t
\n218\t
\n219\t\n220\t
\n221\t {l.lat != null && l.lng != null && (\n222\t
\n223\t

Emplacement

\n224\t }>\n225\t \n226\t \n227\t

\n228\t Position approximative selon les coordonnées fournies par la source.\n229\t

\n230\t
\n231\t )}\n232\t
\n233\t
\n234\t\n235\t
\n236\t {synced && <>Dernière synchronisation : {synced}. }\n237\t Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n238\t renvoie à l'annonce originale pour réserver.\n239\t
\n240\t\n241\t
\n242\t \n243\t {fmtNight(l.price_night, l.price_label)}\n244\t {l.price_night != null && /nuit}\n245\t \n246\t \n247\t Réserver chez {ctSourceName(l.source)} ↗\n248\t \n249\t
\n250\t
\n251\t );\n252\t}\n253\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c7a1f044-cde9-4baa-91d0-04e4ce7cc58f","timestamp":"2026-08-25T15:20:48.924Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","content":"// -----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtListing, ctSourceName, fetchCtListing, fetchCtSources, fmtNight,\n registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
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label:\n return None\n m = _PRICE_RE.search(label)\n if not m:\n return None\n raw = re.sub(r\"[\\s  ]\", \"\", m.group(1))\n # « 1,250.00 » vs « 1 250,00 » : la dernière ponctuation est la décimale\n if \",\" in raw and \".\" in raw:\n raw = raw.replace(\",\", \"\") if raw.rfind(\".\") > raw.rfind(\",\") \\\n else raw.replace(\".\", \"\").replace(\",\", \".\")\n elif \",\" in raw:\n head, _, tail = raw.rpartition(\",\")\n raw = f\"{head.replace(',', '')}.{tail}\" if len(tail) == 2 else raw.replace(\",\", \"\")\n try:\n val = float(raw)\n except ValueError:\n return None\n lab = strip_accents(label).lower()\n if \"sem\" in lab or \"/wk\" in lab or \"week\" in lab: # prix à la semaine\n return round(val / 7, 2)\n if \"mois\" in lab or \"month\" in lab: # prix mensuel : hors sujet ici\n return None\n return val if 20 <= val <= 20000 else None\n\n\n_AMEN_FLAGS = {\n \"spa\": (\"spa\", \"jacuzzi\", \"hot tub\", \"bain a remous\", \"bain tourbillon\"),\n \"pool\": (\"piscine\", \"pool\"),\n \"waterfront\": (\"bord de l'eau\", \"bord de leau\", \"bord du lac\", \"acces au lac\",\n \"acces lac\", \"waterfront\", \"lakefront\", \"riverain\",\n \"bord de riviere\", \"bord du fleuve\", \"plage privee\"),\n \"sauna\": (\"sauna\",),\n \"wifi\": (\"wifi\", \"wi-fi\", \"internet\"),\n \"fireplace\": (\"foyer\", \"fireplace\", \"poele a bois\"),\n \"ev_charger\": (\"borne\", \"recharge electrique\", \"ev charg\"),\n}\n\n\n@dataclass\nclass StListing:\n \"\"\"Hébergement court terme standardisé Lou-Ka.\"\"\"\n\n source: str # id de la source (data/sources_ct.json)\n external_id: str # identifiant chez la source\n url: str # page de l'annonce chez la source\n title: str = \"\"\n property_type: str = \"\" # voir PROPERTY_TYPES\n address: str = \"\"\n city: str = \"\" # municipalité (ex. Saint-Sauveur)\n region: str = \"\" # région touristique (ex. Laurentides)\n price_night: float | None = None # $ CAD / nuit (le plus bas si « à partir de »)\n price_label: str = \"\" # texte original (« à partir de 189 $/nuit »)\n capacity: float | None = None # nombre de personnes\n bedrooms: float | None = None\n beds: float | None = None\n bathrooms: float | None = None\n pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n citq: str = \"\" # numéro d'établissement CITQ si affiché\n rating: float | None = None # note (normalisée sur 5)\n reviews: int | None = None # nombre d'avis\n description: str = \"\"\n amenities: list[str] = field(default_factory=list)\n details: dict = field(default_factory=dict) # drapeaux (spa, pool…) + libres\n images: list[str] = field(default_factory=list)\n lat: float | None = None\n lng: float | None = None\n\n @property\n def uid(self) -> str:\n return f\"{self.source}:{self.external_id}\"\n\n def content_hash(self) -> str:\n blob = json.dumps(asdict(self), sort_keys=True, ensure_ascii=False)\n return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n\n def finalize(self) -> \"StListing\":\n \"\"\"Normalisation commune — idempotente, ne remplace jamais une valeur\n explicite du connecteur.\"\"\"\n self.title = _html.unescape(self.title or \"\").strip()\n self.address = _html.unescape(self.address or \"\").strip()\n self.city = _html.unescape(self.city or \"\").strip()\n self.region = normalize_region(self.region)\n if self.property_type:\n pt = self.property_type.strip().capitalize()\n canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n self.property_type = canon.get(strip_accents(pt).lower(), pt)\n\n if self.price_night is None:\n self.price_night = parse_price_night(self.price_label)\n if self.price_night is not None and not (20 <= self.price_night <= 20000):\n self.price_night = None\n\n # bornes du Québec : rejeter coordonnées aberrantes (0/0, inversées…)\n if self.lat is not None and self.lng is not None:\n if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n self.lat = self.lng = None\n\n # drapeaux dérivés des commodités + description (pour les filtres)\n haystack = strip_accents(\" | \".join(self.amenities) + \" | \"\n + self.description[:2000]).lower()\n for flag, needles in _AMEN_FLAGS.items():\n if flag not in self.details and any(n in haystack for n in needles):\n self.details[flag] = True\n if self.pets is None:\n if re.search(r\"animaux (acceptes|admis|bienvenus)|pet friendly|\"\n r\"chiens? (acceptes?|admis|bienvenus?)\", haystack):\n self.pets = \"oui\"\n elif re.search(r\"(pas d|aucun|non aux) animaux|animaux (non admis|\"\n r\"interdits|refuses)|no pets\", haystack):\n self.pets = \"non\"\n if not self.citq:\n m = re.search(r\"citq\\D{0,12}(\\d{6})\", haystack)\n if m:\n self.citq = m.group(1)\n # note sur 10 (Booking) → sur 5\n if self.rating is not None and self.rating > 5.01:\n self.rating = round(self.rating / 2, 2)\n return self","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8d5517c8-82fa-487b-8568-a69079655b7f","timestamp":"2026-08-25T15:21:20.610Z","tool_use_result":{"stdout":" if not label:\n return None\n m = _PRICE_RE.search(label)\n if not m:\n return None\n raw = re.sub(r\"[\\s  ]\", \"\", m.group(1))\n # « 1,250.00 » vs « 1 250,00 » : la dernière ponctuation est la décimale\n if \",\" in raw and \".\" in raw:\n raw = raw.replace(\",\", \"\") if raw.rfind(\".\") > raw.rfind(\",\") \\\n else raw.replace(\".\", \"\").replace(\",\", \".\")\n elif \",\" in raw:\n head, _, tail = raw.rpartition(\",\")\n raw = f\"{head.replace(',', '')}.{tail}\" if len(tail) == 2 else raw.replace(\",\", \"\")\n try:\n val = float(raw)\n except ValueError:\n return None\n lab = strip_accents(label).lower()\n if \"sem\" in lab or \"/wk\" in lab or \"week\" in lab: # prix à la semaine\n return round(val / 7, 2)\n if \"mois\" in lab or \"month\" in lab: # prix mensuel : hors sujet ici\n return None\n return val if 20 <= val <= 20000 else None\n\n\n_AMEN_FLAGS = {\n \"spa\": (\"spa\", \"jacuzzi\", \"hot tub\", \"bain a remous\", \"bain tourbillon\"),\n \"pool\": (\"piscine\", \"pool\"),\n \"waterfront\": (\"bord de l'eau\", \"bord de leau\", \"bord du lac\", \"acces au lac\",\n \"acces lac\", \"waterfront\", \"lakefront\", \"riverain\",\n \"bord de riviere\", \"bord du fleuve\", \"plage privee\"),\n \"sauna\": (\"sauna\",),\n \"wifi\": (\"wifi\", \"wi-fi\", \"internet\"),\n \"fireplace\": (\"foyer\", \"fireplace\", \"poele a bois\"),\n \"ev_charger\": (\"borne\", \"recharge electrique\", \"ev charg\"),\n}\n\n\n@dataclass\nclass StListing:\n \"\"\"Hébergement court terme standardisé Lou-Ka.\"\"\"\n\n source: str # id de la source (data/sources_ct.json)\n external_id: str # identifiant chez la source\n url: str # page de l'annonce chez la source\n title: str = \"\"\n property_type: str = \"\" # voir PROPERTY_TYPES\n address: str = \"\"\n city: str = \"\" # municipalité (ex. Saint-Sauveur)\n region: str = \"\" # région touristique (ex. Laurentides)\n price_night: float | None = None # $ CAD / nuit (le plus bas si « à partir de »)\n price_label: str = \"\" # texte original (« à partir de 189 $/nuit »)\n capacity: float | None = None # nombre de personnes\n bedrooms: float | None = None\n beds: float | None = None\n bathrooms: float | None = None\n pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n citq: str = \"\" # numéro d'établissement CITQ si affiché\n rating: float | None = None # note (normalisée sur 5)\n reviews: int | None = None # nombre d'avis\n description: str = \"\"\n amenities: list[str] = field(default_factory=list)\n details: dict = field(default_factory=dict) # drapeaux (spa, pool…) + libres\n images: list[str] = field(default_factory=list)\n lat: float | None = None\n lng: float | None = None\n\n @property\n def uid(self) -> str:\n return f\"{self.source}:{self.external_id}\"\n\n def content_hash(self) -> str:\n blob = json.dumps(asdict(self), sort_keys=True, ensure_ascii=False)\n return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n\n def finalize(self) -> \"StListing\":\n \"\"\"Normalisation commune — idempotente, ne remplace jamais une valeur\n explicite du connecteur.\"\"\"\n self.title = _html.unescape(self.title or \"\").strip()\n self.address = _html.unescape(self.address or \"\").strip()\n self.city = _html.unescape(self.city or \"\").strip()\n self.region = normalize_region(self.region)\n if self.property_type:\n pt = self.property_type.strip().capitalize()\n canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n self.property_type = canon.get(strip_accents(pt).lower(), pt)\n\n if self.price_night is None:\n self.price_night = parse_price_night(self.price_label)\n if self.price_night is not None and not (20 <= self.price_night <= 20000):\n self.price_night = None\n\n # bornes du Québec : rejeter coordonnées aberrantes (0/0, inversées…)\n if self.lat is not None and self.lng is not None:\n if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n self.lat = self.lng = None\n\n # drapeaux dérivés des commodités + description (pour les filtres)\n haystack = strip_accents(\" | \".join(self.amenities) + \" | \"\n + self.description[:2000]).lower()\n for flag, needles in _AMEN_FLAGS.items():\n if flag not in self.details and any(n in haystack for n in needles):\n self.details[flag] = True\n if self.pets is None:\n if re.search(r\"animaux (acceptes|admis|bienvenus)|pet friendly|\"\n r\"chiens? (acceptes?|admis|bienvenus?)\", haystack):\n self.pets = \"oui\"\n elif re.search(r\"(pas d|aucun|non aux) animaux|animaux (non admis|\"\n r\"interdits|refuses)|no pets\", haystack):\n self.pets = \"non\"\n if not self.citq:\n m = re.search(r\"citq\\D{0,12}(\\d{6})\", haystack)\n if m:\n self.citq = m.group(1)\n # note sur 10 (Booking) → sur 5\n if self.rating is not None and self.rating > 5.01:\n self.rating = round(self.rating / 2, 2)\n return self","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhAuMM2m4RNi8c2JXru","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ED3Qzvw8gB6aNB2qTGQCFH","name":"Bash","input":{"command":"cat louka/shortterm/web.py","description":"Lire API court terme"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":6236,"cache_read_input_tokens":57266,"cache_creation":{"ephemeral_5m_input_tokens":6236,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4d29e432-514b-411a-ac7c-81cb451c26ed"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ED3Qzvw8gB6aNB2qTGQCFH","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# web.py : routeur API /api/ct/* (liste, geojson, détail, facettes, stats)\n# — inclus par louka/web.py, entièrement séparé du long terme.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, BackgroundTasks, HTTPException, Query\n\nfrom . import db\n\nrouter = APIRouter(prefix=\"/api/ct\", tags=[\"court-terme\"])\n\nSOURCES_CT_PATH = (Path(__file__).resolve().parent.parent.parent\n / \"data\" / \"sources_ct.json\")\n_sync_lock = threading.Lock()\n\n_SORTS = {\n \"recent\": \" ORDER BY first_seen DESC, price_night IS NULL, price_night ASC\",\n \"prix\": \" ORDER BY price_night IS NULL, price_night ASC\",\n \"prix_desc\": \" ORDER BY price_night IS NULL, price_night DESC\",\n \"note\": \" ORDER BY rating IS NULL, rating DESC, reviews DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n return d\n\n\ndef _apply_filters(sql: str, args: list,\n region: str | None, city: str | None, type_: str | None,\n source: str | None, price_min: float | None,\n price_max: float | None, capacity_min: float | None,\n bedrooms_min: float | None, pets: str | None,\n spa: int | None, waterfront: int | None,\n q: str | None) -> str:\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if type_:\n sql += \" AND property_type=?\"; args.append(type_)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_min is not None:\n sql += \" AND price_night IS NOT NULL AND price_night>=?\"\n args.append(price_min)\n if price_max is not None:\n sql += \" AND price_night IS NOT NULL AND price_night<=?\"\n args.append(price_max)\n if capacity_min is not None:\n sql += \" AND capacity IS NOT NULL AND capacity>=?\"\n args.append(capacity_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"\n args.append(bedrooms_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n if spa == 1:\n sql += \" AND json_extract(details,'$.spa')=1\"\n if waterfront == 1:\n sql += \" AND json_extract(details,'$.waterfront')=1\"\n if q:\n sql += \" AND (title LIKE ? OR city LIKE ? OR region LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n return sql\n\n\n@router.get(\"/listings\")\ndef ct_listings(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n sort: str = \"recent\",\n limit: int = Query(24, le=200),\n offset: int = 0,\n):\n if sort not in _SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n con = db.connect()\n sql = \"SELECT * FROM st_listings WHERE active=1\"\n args: list = []\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += _SORTS[sort] + \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@router.get(\"/listings.geojson\")\ndef ct_geojson(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(4000, le=10000),\n):\n con = db.connect()\n sql = (\"SELECT uid, title, property_type, city, region, price_night,\"\n \" price_label, capacity, bedrooms, rating, source, images, lat, lng\"\n \" FROM st_listings WHERE active=1\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\",\n args).fetchone()[\"c\"]\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n features = []\n for r in con.execute(sql, args).fetchall():\n images = json.loads(r[\"images\"] or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\",\n \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"],\n \"property_type\": r[\"property_type\"], \"city\": r[\"city\"],\n \"region\": r[\"region\"], \"price_night\": r[\"price_night\"],\n \"price_label\": r[\"price_label\"], \"capacity\": r[\"capacity\"],\n \"bedrooms\": r[\"bedrooms\"], \"rating\": r[\"rating\"],\n \"source\": r[\"source\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo}\n\n\n@router.get(\"/facets\")\ndef ct_facets():\n con = db.connect()\n out = {\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM st_listings WHERE active=1\"\n \" AND region<>'' GROUP BY region ORDER BY n DESC\")],\n \"types\": [dict(r) for r in con.execute(\n \"SELECT property_type AS type, COUNT(*) n FROM st_listings\"\n \" WHERE active=1 AND property_type<>''\"\n \" GROUP BY property_type ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@router.get(\"/stats\")\ndef ct_stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total, COUNT(DISTINCT source) sources,\n COUNT(DISTINCT region) regions,\n AVG(price_night) avg_night,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM st_listings WHERE active=1\"\"\").fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM st_sync_log ORDER BY ts DESC LIMIT 20\")]\n con.close()\n return {**dict(row), \"recent_syncs\": log}\n\n\n@router.get(\"/sources\")\ndef ct_sources():\n from .connectors import ST_CONNECTORS\n try:\n registry = json.loads(\n SOURCES_CT_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n except (OSError, ValueError, KeyError):\n registry = []\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM st_sync_log WHERE ok=1\"\n \" GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"connector\"] = s[\"id\"] in ST_CONNECTORS\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n con.close()\n if row is None:\n raise HTTPException(404, \"Hébergement introuvable\")\n return _row_to_dict(row)\n\n\n@router.post(\"/sync\")\ndef ct_trigger_sync(background: BackgroundTasks, source: str | None = None):\n from . import ingest\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"157ff964-96c7-407f-a78d-8e2f9eb07f40","timestamp":"2026-08-25T15:21:21.258Z","tool_use_result":{"stdout":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# web.py : routeur API /api/ct/* (liste, geojson, détail, facettes, stats)\n# — inclus par louka/web.py, entièrement séparé du long terme.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, BackgroundTasks, HTTPException, Query\n\nfrom . import db\n\nrouter = APIRouter(prefix=\"/api/ct\", tags=[\"court-terme\"])\n\nSOURCES_CT_PATH = (Path(__file__).resolve().parent.parent.parent\n / \"data\" / \"sources_ct.json\")\n_sync_lock = threading.Lock()\n\n_SORTS = {\n \"recent\": \" ORDER BY first_seen DESC, price_night IS NULL, price_night ASC\",\n \"prix\": \" ORDER BY price_night IS NULL, price_night ASC\",\n \"prix_desc\": \" ORDER BY price_night IS NULL, price_night DESC\",\n \"note\": \" ORDER BY rating IS NULL, rating DESC, reviews DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n return d\n\n\ndef _apply_filters(sql: str, args: list,\n region: str | None, city: str | None, type_: str | None,\n source: str | None, price_min: float | None,\n price_max: float | None, capacity_min: float | None,\n bedrooms_min: float | None, pets: str | None,\n spa: int | None, waterfront: int | None,\n q: str | None) -> str:\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if type_:\n sql += \" AND property_type=?\"; args.append(type_)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_min is not None:\n sql += \" AND price_night IS NOT NULL AND price_night>=?\"\n args.append(price_min)\n if price_max is not None:\n sql += \" AND price_night IS NOT NULL AND price_night<=?\"\n args.append(price_max)\n if capacity_min is not None:\n sql += \" AND capacity IS NOT NULL AND capacity>=?\"\n args.append(capacity_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"\n args.append(bedrooms_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n if spa == 1:\n sql += \" AND json_extract(details,'$.spa')=1\"\n if waterfront == 1:\n sql += \" AND json_extract(details,'$.waterfront')=1\"\n if q:\n sql += \" AND (title LIKE ? OR city LIKE ? OR region LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n return sql\n\n\n@router.get(\"/listings\")\ndef ct_listings(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n sort: str = \"recent\",\n limit: int = Query(24, le=200),\n offset: int = 0,\n):\n if sort not in _SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n con = db.connect()\n sql = \"SELECT * FROM st_listings WHERE active=1\"\n args: list = []\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += _SORTS[sort] + \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@router.get(\"/listings.geojson\")\ndef ct_geojson(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(4000, le=10000),\n):\n con = db.connect()\n sql = (\"SELECT uid, title, property_type, city, region, price_night,\"\n \" price_label, capacity, bedrooms, rating, source, images, lat, lng\"\n \" FROM st_listings WHERE active=1\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\",\n args).fetchone()[\"c\"]\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n features = []\n for r in con.execute(sql, args).fetchall():\n images = json.loads(r[\"images\"] or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\",\n \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"],\n \"property_type\": r[\"property_type\"], \"city\": r[\"city\"],\n \"region\": r[\"region\"], \"price_night\": r[\"price_night\"],\n \"price_label\": r[\"price_label\"], \"capacity\": r[\"capacity\"],\n \"bedrooms\": r[\"bedrooms\"], \"rating\": r[\"rating\"],\n \"source\": r[\"source\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo}\n\n\n@router.get(\"/facets\")\ndef ct_facets():\n con = db.connect()\n out = {\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM st_listings WHERE active=1\"\n \" AND region<>'' GROUP BY region ORDER BY n DESC\")],\n \"types\": [dict(r) for r in con.execute(\n \"SELECT property_type AS type, COUNT(*) n FROM st_listings\"\n \" WHERE active=1 AND property_type<>''\"\n \" GROUP BY property_type ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@router.get(\"/stats\")\ndef ct_stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total, COUNT(DISTINCT source) sources,\n COUNT(DISTINCT region) regions,\n AVG(price_night) avg_night,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM st_listings WHERE active=1\"\"\").fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM st_sync_log ORDER BY ts DESC LIMIT 20\")]\n con.close()\n return {**dict(row), \"recent_syncs\": log}\n\n\n@router.get(\"/sources\")\ndef ct_sources():\n from .connectors import ST_CONNECTORS\n try:\n registry = json.loads(\n SOURCES_CT_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n except (OSError, ValueError, KeyError):\n registry = []\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM st_sync_log WHERE ok=1\"\n \" GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"connector\"] = s[\"id\"] in ST_CONNECTORS\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n con.close()\n if row is None:\n raise HTTPException(404, \"Hébergement introuvable\")\n return _row_to_dict(row)\n\n\n@router.post(\"/sync\")\ndef ct_trigger_sync(background: BackgroundTasks, source: str | None = None):\n from . import ingest\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"96945af1-6e5c-49d2-89e3-cce76b8e6eba","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: chalets région de Québec (Stoneham/MSA)","usage":{"total_tokens":30205,"tool_uses":9,"duration_ms":45877},"last_tool_name":"Bash","uuid":"d59f8c51-85da-4c30-867c-714348b70f56","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: agrégateurs location de chalets","usage":{"total_tokens":30211,"tool_uses":12,"duration_ms":51442},"last_tool_name":"Bash","uuid":"ce050681-c6ee-4b29-8a5d-6745a78fda39","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: chalets Outaouais/Lanaudière/Mauricie","usage":{"total_tokens":30207,"tool_uses":10,"duration_ms":47998},"last_tool_name":"Bash","uuid":"b11820a4-4a7f-4954-bbd0-1d2271bf0387","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: annuaires gîtes Québec","usage":{"total_tokens":30209,"tool_uses":11,"duration_ms":49414},"last_tool_name":"Bash","uuid":"2b754fd1-c6ad-4233-b9d6-eca8b8e84a46","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"text","text":"J'ai tout ce qu'il faut. Je lance maintenant 5 agents en parallèle sur les connecteurs (enrichissement + squelettes), pendant que je m'occupe moi-même de la fiche CT et de l'API."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"241575bf-3b9c-4a03-9ffd-0775f5badd55"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: hébergement insolite Québec","usage":{"total_tokens":34055,"tool_uses":13,"duration_ms":67029},"last_tool_name":"Bash","uuid":"5daa6077-8536-41a5-bc4d-5cac6a68d9a6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: agences de gestion locative chalets","usage":{"total_tokens":34059,"tool_uses":14,"duration_ms":69221},"last_tool_name":"Bash","uuid":"55e116e9-ec2c-49e4-9353-cf8057f73901","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Tavily: plateformes québécoises location chalets","usage":{"total_tokens":34067,"tool_uses":16,"duration_ms":72766},"last_tool_name":"Bash","uuid":"80e3ec5d-aecd-434d-8665-11eb606efffc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Serper: chalets Îles-de-la-Madeleine / Abitibi","usage":{"total_tokens":34063,"tool_uses":15,"duration_ms":71341},"last_tool_name":"Bash","uuid":"2f9087aa-f123-4abf-af0f-91ae5dd4ff97","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","name":"Agent","input":{"description":"Enrichir connecteur airbnb CT","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir le connecteur court terme Airbnb de Lou-Ka.\n\nContexte : Lou-Ka a un sous-système « location court terme » (chalets/séjours à la nuit au Québec). Les connecteurs vivent dans `louka/shortterm/connectors/`, retournent des `StListing` (schéma : `louka/shortterm/schema.py`, dataclass avec title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[list], details[dict], images[list], lat, lng). Classe de base `StConnector` (`louka/shortterm/connectors/base.py`) hérite de `BaseConnector` (`louka/connectors/base.py`) qui fournit `self.get()/post()` (avec escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans data/louka_ct.db. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_*…).\n\nProblème : le connecteur `louka/shortterm/connectors/airbnb.py` (457 lignes, 15 263 annonces actives) a une couverture 99 % prix / 90 % note / 100 % images-geo, mais **0 % description, 0 % capacité, 0 % chambres/lits, 0 % commodités, 0 % property_type détaillé**. Ce sont les champs les plus visibles des fiches.\n\nTa mission :\n1. Lis le connecteur actuel pour comprendre comment il récupère les annonces (probablement l'API StaysSearch interne d'Airbnb par cellules géo).\n2. Trouve un moyen d'obtenir description/capacité/chambres/lits/commodités/type : soit ces champs sont déjà dans la réponse de recherche (structuredContent, title, avgRatingLocalized, etc. — inspecte le JSON brut), soit via l'endpoint de détail (StaysPdpSections GraphQL) — teste avec curl/python sur 2-3 annonces réelles pour valider avant de coder.\n3. Implémente l'enrichissement AVEC le cache `self.detail()` et un budget par run configurable par env (ex. `LOUKA_AIRBNB_DETAIL_LIMIT`, défaut raisonnable ~800/run pour que le stock se remplisse au fil des syncs — regarde comment kangalou fait pareil dans `louka/connectors/kangalou.py`). Ne casse pas ce qui marche (prix, images, geo, note).\n4. Attention anti-bot : garde des délais polis (request_delay), tolère les 429/403 (skip, pas d'exception fatale).\n5. TESTE avec un petit échantillon : script inline `.venv/bin/python` qui instancie le connecteur, limite la recherche à 1-2 cellules, vérifie que les StListing enrichis ont description/capacity/amenities remplis et que `.finalize()` passe. NE LANCE PAS `run.py sync-ct airbnb` (le sync complet sera fait par l'orchestrateur).\n\nStyle : en-têtes/commentaires en français comme le fichier existant, code sobre, pas de sur-ingénierie. Rapporte : ce que tu as trouvé (quel endpoint/champ), diff résumé, résultat du test échantillon (couverture des nouveaux champs sur l'échantillon), budget par run choisi. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0b9dd71c-40e8-49ab-9c7a-2bf58aeb61de"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"ac3267241e740b9ef","tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","description":"Enrichir connecteur airbnb CT","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir le connecteur court terme Airbnb de Lou-Ka.\n\nContexte : Lou-Ka a un sous-système « location court terme » (chalets/séjours à la nuit au Québec). Les connecteurs vivent dans `louka/shortterm/connectors/`, retournent des `StListing` (schéma : `louka/shortterm/schema.py`, dataclass avec title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[list], details[dict], images[list], lat, lng). Classe de base `StConnector` (`louka/shortterm/connectors/base.py`) hérite de `BaseConnector` (`louka/connectors/base.py`) qui fournit `self.get()/post()` (avec escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans data/louka_ct.db. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_*…).\n\nProblème : le connecteur `louka/shortterm/connectors/airbnb.py` (457 lignes, 15 263 annonces actives) a une couverture 99 % prix / 90 % note / 100 % images-geo, mais **0 % description, 0 % capacité, 0 % chambres/lits, 0 % commodités, 0 % property_type détaillé**. Ce sont les champs les plus visibles des fiches.\n\nTa mission :\n1. Lis le connecteur actuel pour comprendre comment il récupère les annonces (probablement l'API StaysSearch interne d'Airbnb par cellules géo).\n2. Trouve un moyen d'obtenir description/capacité/chambres/lits/commodités/type : soit ces champs sont déjà dans la réponse de recherche (structuredContent, title, avgRatingLocalized, etc. — inspecte le JSON brut), soit via l'endpoint de détail (StaysPdpSections GraphQL) — teste avec curl/python sur 2-3 annonces réelles pour valider avant de coder.\n3. 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Rapporte : ce que tu as trouvé (quel endpoint/champ), diff résumé, résultat du test échantillon (couverture des nouveaux champs sur l'échantillon), budget par run choisi. Max 400 mots.","uuid":"6507fbe3-c803-49ca-87ec-e00e5032bf96","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: ac3267241e740b9ef (internal ID - do not mention to user. Use SendMessage with to: 'ac3267241e740b9ef' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/ac3267241e740b9ef.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"906d9166-5481-4825-90fc-87b9cf99e046","timestamp":"2026-08-25T15:22:12.843Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"ac3267241e740b9ef","description":"Enrichir connecteur airbnb CT","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir le connecteur court terme Airbnb de Lou-Ka.\n\nContexte : Lou-Ka a un sous-système « location court terme » (chalets/séjours à la nuit au Québec). Les connecteurs vivent dans `louka/shortterm/connectors/`, retournent des `StListing` (schéma : `louka/shortterm/schema.py`, dataclass avec title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[list], details[dict], images[list], lat, lng). Classe de base `StConnector` (`louka/shortterm/connectors/base.py`) hérite de `BaseConnector` (`louka/connectors/base.py`) qui fournit `self.get()/post()` (avec escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans data/louka_ct.db. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_*…).\n\nProblème : le connecteur `louka/shortterm/connectors/airbnb.py` (457 lignes, 15 263 annonces actives) a une couverture 99 % prix / 90 % note / 100 % images-geo, mais **0 % description, 0 % capacité, 0 % chambres/lits, 0 % commodités, 0 % property_type détaillé**. Ce sont les champs les plus visibles des fiches.\n\nTa mission :\n1. Lis le connecteur actuel pour comprendre comment il récupère les annonces (probablement l'API StaysSearch interne d'Airbnb par cellules géo).\n2. Trouve un moyen d'obtenir description/capacité/chambres/lits/commodités/type : soit ces champs sont déjà dans la réponse de recherche (structuredContent, title, avgRatingLocalized, etc. — inspecte le JSON brut), soit via l'endpoint de détail (StaysPdpSections GraphQL) — teste avec curl/python sur 2-3 annonces réelles pour valider avant de coder.\n3. 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Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit déjà prix depuis price_label, drapeaux spa/pool/waterfront depuis amenities+description, pets, citq — donc souvent il suffit de remplir description/price_label proprement.\n\nCouverture actuelle (champs à corriger) :\n- `sinistar.py` (5 591 annonces) : **prix 0 %**, note 0 % — trouve où le prix/nuit vit (API/JSON de recherche ? page détail ?) et remplis price_night/price_label. Sinistar est une plateforme d'hébergement de sinistrés mais affiche des prix par nuit.\n- `bonjourquebec.py` (5 000) : **prix 0 %, capacité 0 %** — description 57 % seulement. BonjourQuébec est le portail officiel de tourisme QC ; les fiches établissement ont souvent capacité/prix indicatif.\n- `tremblantliving.py` (source `tremblant_living`, 37) : **prix 0 %** — les fiches Tremblant Living affichent des tarifs à la nuit.\n- `gitespassant.py` (source `gites_passant`, 23) : **prix 0 %, geo 0 %, capacité 0 %**.\n\nPour chacun : lis le connecteur, va voir le site réel (curl / self.get), trouve où sont les champs manquants (JSON embarqué, API interne, microdata JSON-LD — les sites d'hébergement ont souvent du schema.org/LodgingBusiness ou Product avec prix), implémente, en utilisant `self.detail()` si ça demande une requête par fiche (avec budget env `LOUKA__DETAIL_LIMIT` si volumineux — pattern : `louka/connectors/kangalou.py`). Ne casse pas les champs qui marchent déjà.\n\nTESTE chaque connecteur sur un échantillon (script inline `.venv/bin/python` : instancier, fetch limité ou monkeypatch, vérifier les nouveaux champs sur 5-10 annonces, `.finalize()` ok). NE LANCE PAS `run.py sync-ct` (l'orchestrateur s'en charge). Si un champ est réellement introuvable sur le site (ex. sinistar cache les prix derrière login), dis-le et n'invente rien.\n\nStyle : en-têtes/commentaires français, sobre. Rapport : par connecteur — ce que tu as trouvé, ce qui est maintenant rempli (couverture échantillon), ce qui est impossible et pourquoi. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"424fbd6a-5dee-453e-aa79-6862ef152208"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Enrichir sinistar/bonjourquebec/tremblant/gites","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit déjà prix depuis price_label, drapeaux spa/pool/waterfront depuis amenities+description, pets, citq — donc souvent il suffit de remplir description/price_label proprement.\n\nCouverture actuelle (champs à corriger) :\n- `sinistar.py` (5 591 annonces) : **prix 0 %**, note 0 % — trouve où le prix/nuit vit (API/JSON de recherche ? page détail ?) et remplis price_night/price_label. Sinistar est une plateforme d'hébergement de sinistrés mais affiche des prix par nuit.\n- `bonjourquebec.py` (5 000) : **prix 0 %, capacité 0 %** — description 57 % seulement. BonjourQuébec est le portail officiel de tourisme QC ; les fiches établissement ont souvent capacité/prix indicatif.\n- `tremblantliving.py` (source `tremblant_living`, 37) : **prix 0 %** — les fiches Tremblant Living affichent des tarifs à la nuit.\n- `gitespassant.py` (source `gites_passant`, 23) : **prix 0 %, geo 0 %, capacité 0 %**.\n\nPour chacun : lis le connecteur, va voir le site réel (curl / self.get), trouve où sont les champs manquants (JSON embarqué, API interne, microdata JSON-LD — les sites d'hébergement ont souvent du schema.org/LodgingBusiness ou Product avec prix), implémente, en utilisant `self.detail()` si ça demande une requête par fiche (avec budget env `LOUKA__DETAIL_LIMIT` si volumineux — pattern : `louka/connectors/kangalou.py`). Ne casse pas les champs qui marchent déjà.\n\nTESTE chaque connecteur sur un échantillon (script inline `.venv/bin/python` : instancier, fetch limité ou monkeypatch, vérifier les nouveaux champs sur 5-10 annonces, `.finalize()` ok). NE LANCE PAS `run.py sync-ct` (l'orchestrateur s'en charge). Si un champ est réellement introuvable sur le site (ex. sinistar cache les prix derrière login), dis-le et n'invente rien.\n\nStyle : en-têtes/commentaires français, sobre. Rapport : par connecteur — ce que tu as trouvé, ce qui est maintenant rempli (couverture échantillon), ce qui est impossible et pourquoi. Max 400 mots.","uuid":"8aca2a14-ed6c-4d69-9d02-14f5607ffc9c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: af575d5c5345c9681 (internal ID - do not mention to user. Use SendMessage with to: 'af575d5c5345c9681' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/af575d5c5345c9681.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bce6b193-e5ea-41d2-95dd-7ed530144f0f","timestamp":"2026-08-25T15:22:29.124Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"af575d5c5345c9681","description":"Enrichir sinistar/bonjourquebec/tremblant/gites","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit déjà prix depuis price_label, drapeaux spa/pool/waterfront depuis amenities+description, pets, citq — donc souvent il suffit de remplir description/price_label proprement.\n\nCouverture actuelle (champs à corriger) :\n- `sinistar.py` (5 591 annonces) : **prix 0 %**, note 0 % — trouve où le prix/nuit vit (API/JSON de recherche ? page détail ?) et remplis price_night/price_label. Sinistar est une plateforme d'hébergement de sinistrés mais affiche des prix par nuit.\n- `bonjourquebec.py` (5 000) : **prix 0 %, capacité 0 %** — description 57 % seulement. BonjourQuébec est le portail officiel de tourisme QC ; les fiches établissement ont souvent capacité/prix indicatif.\n- `tremblantliving.py` (source `tremblant_living`, 37) : **prix 0 %** — les fiches Tremblant Living affichent des tarifs à la nuit.\n- `gitespassant.py` (source `gites_passant`, 23) : **prix 0 %, geo 0 %, capacité 0 %**.\n\nPour chacun : lis le connecteur, va voir le site réel (curl / self.get), trouve où sont les champs manquants (JSON embarqué, API interne, microdata JSON-LD — les sites d'hébergement ont souvent du schema.org/LodgingBusiness ou Product avec prix), implémente, en utilisant `self.detail()` si ça demande une requête par fiche (avec budget env `LOUKA__DETAIL_LIMIT` si volumineux — pattern : `louka/connectors/kangalou.py`). Ne casse pas les champs qui marchent déjà.\n\nTESTE chaque connecteur sur un échantillon (script inline `.venv/bin/python` : instancier, fetch limité ou monkeypatch, vérifier les nouveaux champs sur 5-10 annonces, `.finalize()` ok). NE LANCE PAS `run.py sync-ct` (l'orchestrateur s'en charge). Si un champ est réellement introuvable sur le site (ex. sinistar cache les prix derrière login), dis-le et n'invente rien.\n\nStyle : en-têtes/commentaires français, sobre. Rapport : par connecteur — ce que tu as trouvé, ce qui est maintenant rempli (couverture échantillon), ce qui est impossible et pourquoi. Max 400 mots.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/af575d5c5345c9681.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Vérifier statut HTTP et sitemap du 3e lot","usage":{"total_tokens":37864,"tool_uses":19,"duration_ms":101797},"last_tool_name":"Bash","uuid":"a7c1080a-8e7b-4bc6-825e-4d201db01365","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Reading louka/shortterm/connectors/sinistar.py","usage":{"total_tokens":22171,"tool_uses":1,"duration_ms":8050},"last_tool_name":"Read","uuid":"169af57d-ce23-460a-848d-9504a0089ca3","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Reading louka/shortterm/connectors/tremblantliving.py","usage":{"total_tokens":22181,"tool_uses":3,"duration_ms":8803},"last_tool_name":"Read","uuid":"af26abaa-1db4-4a08-8302-1b03a0889122","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bnrgc5rvm","tool_use_id":"toolu_01EsQVT9RtWqe2ekPirfHGe4","status":"completed","output_file":"","summary":"Vérifier statut HTTP et sitemap de 10 candidats","uuid":"9cd831df-5340-47f1-b4f8-bad218edc49f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Reading louka/shortterm/connectors/gitespassant.py","usage":{"total_tokens":22186,"tool_uses":4,"duration_ms":9977},"last_tool_name":"Read","uuid":"0f82c137-ad8f-4bc1-b877-e7725059f4a8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b13tgyidt","tool_use_id":"toolu_01Br3t1k1Ltn5ZMKS6rYFkaV","description":"Vérifier statut HTTP et sitemap de 10 autres candidats","task_type":"local_bash","uuid":"01b6691e-1a59-474a-aa2b-9597573e81ce","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Reading louka/shortterm/connectors/bonjourquebec.py","usage":{"total_tokens":22176,"tool_uses":2,"duration_ms":8794},"last_tool_name":"Read","uuid":"2ad13996-2a79-49a9-8475-53675a7bb902","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","name":"Agent","input":{"description":"Enrichir booking/vrbo/expedia/glampinghub","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme (grandes OTA) de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_USER/PASS…). `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq depuis description+amenities.\n\nCouverture actuelle (à corriger) :\n- `booking.py` (620 annonces) : **description 0 %, commodités 0 %** (prix/img/geo/note ok).\n- `vrbo.py` (183) : **description 0 %, capacité 0 %, commodités 0 %, images 17 %, geo 0 %**.\n- `expedia.py` (222) : **description 0 %, commodités 0 %, images 50 %, geo 0 %**.\n- `glampinghub.py` (206) : **description 0 %** (le reste ok).\n\nPour chacun : lis le connecteur pour voir comment il obtient ses annonces (API interne ? Scrapfly ?), puis trouve les champs manquants — pistes : pages détail avec JSON embarqué (`window.utag_data`, `__PLUGIN_STATE__`, Apollo state GraphQL pour vrbo/expedia — ce sont les mêmes moteurs), JSON-LD schema.org, ou paramètres supplémentaires de l'API de recherche déjà utilisée. Valide d'abord avec curl/python sur 2-3 fiches réelles. Implémente avec `self.detail()` (cache) et budget env `LOUKA__DETAIL_LIMIT` si une requête/fiche est nécessaire (pattern : `louka/connectors/kangalou.py`). Ces sites sont anti-bot : escalade via self.get/scrapfly, délais polis, tolère 403/429 (skip). Ne casse pas les champs qui marchent.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, vérifier nouveaux champs + `.finalize()`). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement inaccessible (coût anti-bot prohibitif), dis-le honnêtement.\n\nStyle : commentaires français, sobre. Rapport par connecteur : méthode trouvée, couverture échantillon avant/après, budget choisi, impossibilités. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1b4347e0-a911-4156-9b73-a41292ee5005"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Enrichir booking/vrbo/expedia/glampinghub","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme (grandes OTA) de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_USER/PASS…). `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq depuis description+amenities.\n\nCouverture actuelle (à corriger) :\n- `booking.py` (620 annonces) : **description 0 %, commodités 0 %** (prix/img/geo/note ok).\n- `vrbo.py` (183) : **description 0 %, capacité 0 %, commodités 0 %, images 17 %, geo 0 %**.\n- `expedia.py` (222) : **description 0 %, commodités 0 %, images 50 %, geo 0 %**.\n- `glampinghub.py` (206) : **description 0 %** (le reste ok).\n\nPour chacun : lis le connecteur pour voir comment il obtient ses annonces (API interne ? Scrapfly ?), puis trouve les champs manquants — pistes : pages détail avec JSON embarqué (`window.utag_data`, `__PLUGIN_STATE__`, Apollo state GraphQL pour vrbo/expedia — ce sont les mêmes moteurs), JSON-LD schema.org, ou paramètres supplémentaires de l'API de recherche déjà utilisée. Valide d'abord avec curl/python sur 2-3 fiches réelles. Implémente avec `self.detail()` (cache) et budget env `LOUKA__DETAIL_LIMIT` si une requête/fiche est nécessaire (pattern : `louka/connectors/kangalou.py`). Ces sites sont anti-bot : escalade via self.get/scrapfly, délais polis, tolère 403/429 (skip). Ne casse pas les champs qui marchent.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, vérifier nouveaux champs + `.finalize()`). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement inaccessible (coût anti-bot prohibitif), dis-le honnêtement.\n\nStyle : commentaires français, sobre. Rapport par connecteur : méthode trouvée, couverture échantillon avant/après, budget choisi, impossibilités. 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Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/add58e9bd17b3b370.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6a82f967-a871-4cc6-a916-dc952c77db34","timestamp":"2026-08-25T15:22:41.132Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"add58e9bd17b3b370","description":"Enrichir booking/vrbo/expedia/glampinghub","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme (grandes OTA) de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Clés API dans l'env (SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_USER/PASS…). `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq depuis description+amenities.\n\nCouverture actuelle (à corriger) :\n- `booking.py` (620 annonces) : **description 0 %, commodités 0 %** (prix/img/geo/note ok).\n- `vrbo.py` (183) : **description 0 %, capacité 0 %, commodités 0 %, images 17 %, geo 0 %**.\n- `expedia.py` (222) : **description 0 %, commodités 0 %, images 50 %, geo 0 %**.\n- `glampinghub.py` (206) : **description 0 %** (le reste ok).\n\nPour chacun : lis le connecteur pour voir comment il obtient ses annonces (API interne ? Scrapfly ?), puis trouve les champs manquants — pistes : pages détail avec JSON embarqué (`window.utag_data`, `__PLUGIN_STATE__`, Apollo state GraphQL pour vrbo/expedia — ce sont les mêmes moteurs), JSON-LD schema.org, ou paramètres supplémentaires de l'API de recherche déjà utilisée. Valide d'abord avec curl/python sur 2-3 fiches réelles. Implémente avec `self.detail()` (cache) et budget env `LOUKA__DETAIL_LIMIT` si une requête/fiche est nécessaire (pattern : `louka/connectors/kangalou.py`). Ces sites sont anti-bot : escalade via self.get/scrapfly, délais polis, tolère 403/429 (skip). Ne casse pas les champs qui marchent.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, vérifier nouveaux champs + `.finalize()`). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement inaccessible (coût anti-bot prohibitif), dis-le honnêtement.\n\nStyle : commentaires français, sobre. Rapport par connecteur : méthode trouvée, couverture échantillon avant/après, budget choisi, impossibilités. 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{"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Reading louka/connectors/base.py","usage":{"total_tokens":39401,"tool_uses":6,"duration_ms":11968},"last_tool_name":"Read","uuid":"589bbb86-195e-4f41-ad1c-0838ebc6186c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","name":"Agent","input":{"description":"Enrichir sepaq/qldc/kijiji/parcscanada","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq.\n\nCouverture actuelle (à corriger) :\n- `sepaq.py` (489 annonces — chalets/prêt-à-camper Sépaq) : **description 0 %, geo 1 %** — la Sépaq a des pages par établissement avec descriptions riches ; pour la géo, chaque chalet appartient à un parc/réserve dont les coordonnées sont connues (au pire, géocode le parc : un dict statique parc→(lat,lng) dans le fichier est acceptable et robuste).\n- `qldc.py` (1 716 — quebeclocationdechalets) : **prix 42 % seulement** — va voir pourquoi (fiches sans prix affiché ? format de libellé non parsé par parse_price_night ? prix à la semaine ?) et améliore l'extraction.\n- `kijiji.py` (source `kijiji_ct`, 36) : **prix 22 %, capacité 80 %, commodités 0 %** — les annonces Kijiji ont souvent le prix dans le JSON-LD ou l'attribut de l'annonce ; regarde aussi pourquoi si peu d'annonces (36) — si la recherche peut couvrir plus de catégories/régions court terme QC, élargis-la prudemment.\n- `parcscanada.py` (75) : **commodités 0 %, prix 88 %** — compléter si possible.\n\nPour chacun : lis le connecteur, va voir le site réel, trouve les champs manquants (JSON embarqué, JSON-LD, API interne), implémente avec `self.detail()` si requête/fiche nécessaire. Ne casse pas ce qui marche.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement absent du site, dis-le.\n\nStyle : commentaires français, sobre. Rapport par connecteur : trouvailles, couverture échantillon, impossibilités. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7def2b55-8f38-4e97-86be-fe8d5b0d7be8"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Enrichir sepaq/qldc/kijiji/parcscanada","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq.\n\nCouverture actuelle (à corriger) :\n- `sepaq.py` (489 annonces — chalets/prêt-à-camper Sépaq) : **description 0 %, geo 1 %** — la Sépaq a des pages par établissement avec descriptions riches ; pour la géo, chaque chalet appartient à un parc/réserve dont les coordonnées sont connues (au pire, géocode le parc : un dict statique parc→(lat,lng) dans le fichier est acceptable et robuste).\n- `qldc.py` (1 716 — quebeclocationdechalets) : **prix 42 % seulement** — va voir pourquoi (fiches sans prix affiché ? format de libellé non parsé par parse_price_night ? prix à la semaine ?) et améliore l'extraction.\n- `kijiji.py` (source `kijiji_ct`, 36) : **prix 22 %, capacité 80 %, commodités 0 %** — les annonces Kijiji ont souvent le prix dans le JSON-LD ou l'attribut de l'annonce ; regarde aussi pourquoi si peu d'annonces (36) — si la recherche peut couvrir plus de catégories/régions court terme QC, élargis-la prudemment.\n- `parcscanada.py` (75) : **commodités 0 %, prix 88 %** — compléter si possible.\n\nPour chacun : lis le connecteur, va voir le site réel, trouve les champs manquants (JSON embarqué, JSON-LD, API interne), implémente avec `self.detail()` si requête/fiche nécessaire. Ne casse pas ce qui marche.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement absent du site, dis-le.\n\nStyle : commentaires français, sobre. Rapport par connecteur : trouvailles, couverture échantillon, impossibilités. Max 400 mots.","uuid":"4305a92b-6fb3-48a8-8d1a-315f3e6041a9","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: ad9f2c7acf8629f71 (internal ID - do not mention to user. Use SendMessage with to: 'ad9f2c7acf8629f71' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/ad9f2c7acf8629f71.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bdd6474b-8a00-4421-8240-46ad6cab99e2","timestamp":"2026-08-25T15:22:53.124Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"ad9f2c7acf8629f71","description":"Enrichir sepaq/qldc/kijiji/parcscanada","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : enrichir 4 connecteurs court terme de Lou-Ka.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : price_night, price_label, capacity, bedrooms, beds, bathrooms, description, amenities, images, lat, lng, rating, reviews, citq, property_type, region…). Base `StConnector` (`base.py` local) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db. `finalize()` déduit prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq.\n\nCouverture actuelle (à corriger) :\n- `sepaq.py` (489 annonces — chalets/prêt-à-camper Sépaq) : **description 0 %, geo 1 %** — la Sépaq a des pages par établissement avec descriptions riches ; pour la géo, chaque chalet appartient à un parc/réserve dont les coordonnées sont connues (au pire, géocode le parc : un dict statique parc→(lat,lng) dans le fichier est acceptable et robuste).\n- `qldc.py` (1 716 — quebeclocationdechalets) : **prix 42 % seulement** — va voir pourquoi (fiches sans prix affiché ? format de libellé non parsé par parse_price_night ? prix à la semaine ?) et améliore l'extraction.\n- `kijiji.py` (source `kijiji_ct`, 36) : **prix 22 %, capacité 80 %, commodités 0 %** — les annonces Kijiji ont souvent le prix dans le JSON-LD ou l'attribut de l'annonce ; regarde aussi pourquoi si peu d'annonces (36) — si la recherche peut couvrir plus de catégories/régions court terme QC, élargis-la prudemment.\n- `parcscanada.py` (75) : **commodités 0 %, prix 88 %** — compléter si possible.\n\nPour chacun : lis le connecteur, va voir le site réel, trouve les champs manquants (JSON embarqué, JSON-LD, API interne), implémente avec `self.detail()` si requête/fiche nécessaire. Ne casse pas ce qui marche.\n\nTESTE sur échantillon (script inline `.venv/bin/python`, 5-10 fiches, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`. Si un champ est réellement absent du site, dis-le.\n\nStyle : commentaires français, sobre. Rapport par connecteur : trouvailles, couverture échantillon, impossibilités. Max 400 mots.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/ad9f2c7acf8629f71.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":39404,"tool_uses":7,"duration_ms":12053},"last_tool_name":"Read","uuid":"f7fa3fa9-52d5-4db7-a769-45e57fa90af3","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ac3267241e740b9ef","tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","description":"Running Get sample airbnb ids from CT database","usage":{"total_tokens":49901,"tool_uses":9,"duration_ms":41548},"last_tool_name":"Bash","uuid":"90d85541-9637-4ed5-8074-5b6b294de7c6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Reading louka/shortterm/connectors/sepaq.py","usage":{"total_tokens":22030,"tool_uses":1,"duration_ms":3625},"last_tool_name":"Read","uuid":"b98c2ccc-f2ef-46c1-a076-8cf50a3b53c8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Reading louka/shortterm/connectors/qldc.py","usage":{"total_tokens":22035,"tool_uses":2,"duration_ms":4345},"last_tool_name":"Read","uuid":"bcfd5b19-0d41-48ae-8fed-3a307fa018c9","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Reading 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{"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Reading louka/connectors/_detailutil.py","usage":{"total_tokens":50206,"tool_uses":10,"duration_ms":22839},"last_tool_name":"Read","uuid":"f263143b-ac52-4976-ac69-97545f9744e1","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ac3267241e740b9ef","tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","description":"Running Coverage stats for airbnb fields","usage":{"total_tokens":51155,"tool_uses":11,"duration_ms":51272},"last_tool_name":"Bash","uuid":"baeb5d4d-e073-4243-9d41-c7f2e38083e3","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":45610,"tool_uses":5,"duration_ms":11397},"last_tool_name":"Read","uuid":"4af667cd-3b97-400a-a36b-32e34226d704","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":45617,"tool_uses":6,"duration_ms":11720},"last_tool_name":"Read","uuid":"528ccc12-eee5-4894-8715-43b1de33c6c0","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Running Search Sinistar detail flight payload for price fields","usage":{"total_tokens":46893,"tool_uses":10,"duration_ms":37738},"last_tool_name":"Bash","uuid":"ff044a22-829b-4a61-844b-2c48898c9c99","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhDHnGyB65Leh3kwEvd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KEM9xWGigL2dMLa442UNei","name":"Agent","input":{"description":"Implémenter 7 connecteurs squelettes CT","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : 7 connecteurs court terme de Lou-Ka sont des squelettes de 22-31 lignes qui n'ont JAMAIS produit d'annonce. Implémente-les ou retire-les.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). Base `StConnector` (`base.py` local, découverte auto par introspection — pas de registre code à modifier) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. `finalize()` normalise (prix depuis price_label, région touristique, drapeaux spa/pool/waterfront, pets, citq). Registre méta : `data/sources_ct.json` (regarde sa structure et tiens-le à jour : entrées à compléter pour les connecteurs implémentés, à retirer pour ceux que tu supprimes). Exemples bien faits à imiter : `wechalet.py`, `mcal.py`, `chaletsarabais.py`.\n\nLes 7 squelettes : `chaletsdirect.py`, `chaletsquebec.py`, `locationschalets.py`, `hebergementquebec.py`, `tripadvisor.py`, `sonder.py`, `blueground.py`.\n\nPour chacun : 1) lis le stub (il indique sans doute le site visé) ; 2) va voir le site réel (curl / self.get / Serper si l'URL est morte : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\"}'`) ; 3) DÉCIDE : implémenter (site vivant, annonces court terme au Québec extractibles) ou SUPPRIMER le fichier (site mort, zéro inventaire QC, ou anti-bot rendant le jeu ruineux — note : sonder/blueground sont surtout du moyen terme corporate, vérifie s'ils ont une offre nuitée au Québec ; tripadvisor a des locations de vacances mais est très protégé — Scrapfly dispo). En cas de suppression, supprime aussi l'entrée de sources_ct.json.\n4) Si implémenté : extraction liste + fiches (JSON embarqué/API interne/JSON-LD de préférence au parsing HTML fragile), délais polis, `self.detail()` pour les requêtes par fiche, budget env si volumineux.\n\nTESTE chaque connecteur implémenté sur un échantillon (script inline `.venv/bin/python`, vérifier ≥5 StListing valides avec prix/images/ville, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`.\n\nStyle : en-tête de fichier en français (imite les existants), sobre. Rapport : par connecteur — implémenté (méthode, ~volume attendu, champs couverts) ou supprimé (raison). Max 450 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":7641,"cache_read_input_tokens":63502,"cache_creation":{"ephemeral_5m_input_tokens":7641,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"dc57c650-65a7-447e-8d2a-a7326cde47d6"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a792af79009f0b441","tool_use_id":"toolu_01KEM9xWGigL2dMLa442UNei","description":"Implémenter 7 connecteurs squelettes CT","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : 7 connecteurs court terme de Lou-Ka sont des squelettes de 22-31 lignes qui n'ont JAMAIS produit d'annonce. Implémente-les ou retire-les.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). Base `StConnector` (`base.py` local, découverte auto par introspection — pas de registre code à modifier) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. `finalize()` normalise (prix depuis price_label, région touristique, drapeaux spa/pool/waterfront, pets, citq). Registre méta : `data/sources_ct.json` (regarde sa structure et tiens-le à jour : entrées à compléter pour les connecteurs implémentés, à retirer pour ceux que tu supprimes). Exemples bien faits à imiter : `wechalet.py`, `mcal.py`, `chaletsarabais.py`.\n\nLes 7 squelettes : `chaletsdirect.py`, `chaletsquebec.py`, `locationschalets.py`, `hebergementquebec.py`, `tripadvisor.py`, `sonder.py`, `blueground.py`.\n\nPour chacun : 1) lis le stub (il indique sans doute le site visé) ; 2) va voir le site réel (curl / self.get / Serper si l'URL est morte : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\"}'`) ; 3) DÉCIDE : implémenter (site vivant, annonces court terme au Québec extractibles) ou SUPPRIMER le fichier (site mort, zéro inventaire QC, ou anti-bot rendant le jeu ruineux — note : sonder/blueground sont surtout du moyen terme corporate, vérifie s'ils ont une offre nuitée au Québec ; tripadvisor a des locations de vacances mais est très protégé — Scrapfly dispo). En cas de suppression, supprime aussi l'entrée de sources_ct.json.\n4) Si implémenté : extraction liste + fiches (JSON embarqué/API interne/JSON-LD de préférence au parsing HTML fragile), délais polis, `self.detail()` pour les requêtes par fiche, budget env si volumineux.\n\nTESTE chaque connecteur implémenté sur un échantillon (script inline `.venv/bin/python`, vérifier ≥5 StListing valides avec prix/images/ville, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`.\n\nStyle : en-tête de fichier en français (imite les existants), sobre. Rapport : par connecteur — implémenté (méthode, ~volume attendu, champs couverts) ou supprimé (raison). Max 450 mots.","uuid":"397ad623-91ba-4e8d-bc5f-940b8acbf76e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KEM9xWGigL2dMLa442UNei","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: a792af79009f0b441 (internal ID - do not mention to user. Use SendMessage with to: 'a792af79009f0b441' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a792af79009f0b441.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d49ceaef-e06d-4eb6-8271-a711acc111bc","timestamp":"2026-08-25T15:23:08.615Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a792af79009f0b441","description":"Implémenter 7 connecteurs squelettes CT","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE DU CODE : 7 connecteurs court terme de Lou-Ka sont des squelettes de 22-31 lignes qui n'ont JAMAIS produit d'annonce. Implémente-les ou retire-les.\n\nContexte : connecteurs dans `louka/shortterm/connectors/`, contrat `fetch() -> list[StListing]` (schéma `louka/shortterm/schema.py` : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). Base `StConnector` (`base.py` local, découverte auto par introspection — pas de registre code à modifier) + `BaseConnector` (`louka/connectors/base.py`) : `self.get()` avec escalade anti-bot Oxylabs→Scrapfly→Bright Data, `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. `finalize()` normalise (prix depuis price_label, région touristique, drapeaux spa/pool/waterfront, pets, citq). Registre méta : `data/sources_ct.json` (regarde sa structure et tiens-le à jour : entrées à compléter pour les connecteurs implémentés, à retirer pour ceux que tu supprimes). Exemples bien faits à imiter : `wechalet.py`, `mcal.py`, `chaletsarabais.py`.\n\nLes 7 squelettes : `chaletsdirect.py`, `chaletsquebec.py`, `locationschalets.py`, `hebergementquebec.py`, `tripadvisor.py`, `sonder.py`, `blueground.py`.\n\nPour chacun : 1) lis le stub (il indique sans doute le site visé) ; 2) va voir le site réel (curl / self.get / Serper si l'URL est morte : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\"}'`) ; 3) DÉCIDE : implémenter (site vivant, annonces court terme au Québec extractibles) ou SUPPRIMER le fichier (site mort, zéro inventaire QC, ou anti-bot rendant le jeu ruineux — note : sonder/blueground sont surtout du moyen terme corporate, vérifie s'ils ont une offre nuitée au Québec ; tripadvisor a des locations de vacances mais est très protégé — Scrapfly dispo). En cas de suppression, supprime aussi l'entrée de sources_ct.json.\n4) Si implémenté : extraction liste + fiches (JSON embarqué/API interne/JSON-LD de préférence au parsing HTML fragile), délais polis, `self.detail()` pour les requêtes par fiche, budget env si volumineux.\n\nTESTE chaque connecteur implémenté sur un échantillon (script inline `.venv/bin/python`, vérifier ≥5 StListing valides avec prix/images/ville, `.finalize()` ok). NE LANCE PAS `run.py sync-ct`.\n\nStyle : en-tête de fichier en français (imite les existants), sobre. Rapport : par connecteur — implémenté (méthode, ~volume attendu, champs couverts) ou supprimé (raison). 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number | null;\n33\t bathrooms: number | null;\n34\t pets: string | null; // \"oui\" | \"non\" | \"conditions\"\n35\t citq: string | null; // numéro d'enregistrement CITQ\n36\t rating: number | null; // sur 5\n37\t reviews: number | null;\n38\t description: string;\n39\t amenities: string[];\n40\t details: CtDetails;\n41\t images: string[];\n42\t lat: number | null;\n43\t lng: number | null;\n44\t first_seen?: number;\n45\t last_seen?: number;\n46\t active?: number;\n47\t}\n48\t\n49\texport interface CtFacets {\n50\t regions: { region: string; n: number }[];\n51\t types: { type: string; n: number }[];\n52\t sources: { source: string; n: number }[];\n53\t}\n54\t\n55\texport interface CtStats {\n56\t total: number;\n57\t sources: number;\n58\t regions: number;\n59\t avg_night: number | null;\n60\t geocoded: number;\n61\t}\n62\t\n63\texport interface CtSource {\n64\t id: string;\n65\t name: string;\n66\t url: string;\n67\t category: string;\n68\t status?: string;\n69\t connector: boolean;\n70\t active_listings: number;\n71\t last_sync: number | null;\n72\t}\n73\t\n74\texport interface CtFilters {\n75\t region?: string;\n76\t city?: string;\n77\t type?: string;\n78\t source?: string;\n79\t price_min?: string;\n80\t price_max?: string;\n81\t capacity_min?: string;\n82\t bedrooms_min?: string;\n83\t pets?: string; // \"oui\"\n84\t spa?: string; // \"1\"\n85\t waterfront?: string; // \"1\"\n86\t q?: string;\n87\t sort?: string; // recent | prix | prix_desc | note\n88\t}\n89\t\n90\tconst CT_SOURCE_NAMES: Record = {};\n91\texport function registerCtSourceNames(sources: CtSource[]) {\n92\t for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;\n93\t}\n94\texport function ctSourceName(id: string): string {\n95\t return CT_SOURCE_NAMES[id] ?? id;\n96\t}\n97\t\n98\tasync function get(path: string): Promise {\n99\t const ctrl = new AbortController();\n100\t const timer = setTimeout(() => ctrl.abort(), 20000);\n101\t try {\n102\t const res = await fetch(path, { signal: ctrl.signal });\n103\t if (!res.ok) throw new Error(`API ${res.status} — ${path}`);\n104\t return (await res.json()) as T;\n105\t } finally {\n106\t clearTimeout(timer);\n107\t }\n108\t}\n109\t\n110\texport function fetchCtListings(f: CtFilters, limit?: number, offset?: number) {\n111\t const params = new URLSearchParams();\n112\t for (const [k, v] of Object.entries(f)) if (v) params.set(k, v);\n113\t if (limit != null) params.set(\"limit\", String(limit));\n114\t if (offset) params.set(\"offset\", String(offset));\n115\t return get<{ total: number; count: number; listings: CtListing[] }>(\n116\t `/api/ct/listings?${params}`);\n117\t}\n118\t\n119\texport const fetchCtListing = (uid: string) =>\n120\t get(`/api/ct/listings/${encodeURIComponent(uid)}`);\n121\texport const fetchCtFacets = () => get(\"/api/ct/facets\");\n122\texport const fetchCtStats = () => get(\"/api/ct/stats\");\n123\texport const fetchCtSources = () =>\n124\t get<{ sources: CtSource[] 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boolean;\n wifi?: boolean;\n fireplace?: boolean;\n ev_charger?: boolean;\n [k: string]: unknown;\n}\n\nexport interface CtListing {\n uid: string;\n source: string;\n external_id: string;\n url: string;\n title: string;\n property_type: string;\n address: string;\n city: string;\n region: string;\n price_night: number | null;\n price_label: string;\n capacity: number | null;\n bedrooms: number | null;\n beds: number | null;\n bathrooms: number | null;\n pets: string | null; // \"oui\" | \"non\" | \"conditions\"\n citq: string | null; // numéro d'enregistrement CITQ\n rating: number | null; // sur 5\n reviews: number | null;\n description: string;\n amenities: string[];\n details: CtDetails;\n images: string[];\n lat: number | null;\n lng: number | null;\n first_seen?: number;\n last_seen?: number;\n active?: number;\n}\n\nexport interface CtFacets {\n regions: { region: string; n: number }[];\n types: { type: string; n: number }[];\n sources: { source: string; n: number 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\nfrontend/src/components/ListingCard.tsx:43:
{l.title || l.address}
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\nfrontend/src/pages/Stats.tsx:126:
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\nfrontend/src/components/CtListingCard.tsx:28:
\nfrontend/src/components/CtListingCard.tsx:29:
\nfrontend/src/components/CtListingCard.tsx:39:
{l.title}
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\nfrontend/src/components/CtListingCard.tsx:45:
\nfrontend/src/components/ListingCard.tsx:19: \nfrontend/src/components/ListingCard.tsx:20:
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\nfrontend/src/components/ListingCard.tsx:43:
{l.title || l.address}
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\nfrontend/src/components/ListingCard.tsx:50:
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{deal.txt}
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💡 Chauffage, électricité et eau chaude inclus — 0{NBSP}$ de frais cachés
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(fiche)\n5\t// Juste valeur estimée + fourchette + écart + confiance + mini-histogramme\n6\t// de la position du loyer dans la distribution du segment de marché.\n7\t// Estimation indicative calculée sur les annonces comparables (fairvalue.py).\n8\t// -----------------------------------------------------------------------------\n9\timport { useEffect, useState } from \"react\";\n10\timport { Link } from \"react-router-dom\";\n11\timport { FairValueDetail, fetchFairValue, fmtPrice } from \"../api\";\n12\timport FairValueBadge, { fmtDeviation } from \"./FairValueBadge\";\n13\t\n14\tconst CONF_LABEL = { fort: \"Confiance forte\", moyen: \"Confiance moyenne\",\n15\t faible: \"Estimation indicative\" } as const;\n16\t\n17\t/** Mini-histogramme : distribution des loyers du segment, marqueurs texte\n18\t * pour « ce loyer » et la juste valeur (jamais la couleur seule). */\n19\tfunction MiniHisto({ d, price }: { d: FairValueDetail; price: number }) {\n20\t const bins = d.histogram;\n21\t if (!bins || bins.length < 4) return null;\n22\t const W = 320, H = 96, top = 18, bottom = 16;\n23\t const lo = bins[0].x0, hi = bins[bins.length - 1].x1;\n24\t if (hi <= lo) return null;\n25\t const max = Math.max(...bins.map((b) => b.n), 1);\n26\t const x = (v: number) => ((Math.min(Math.max(v, lo), hi) - lo) / (hi - lo)) * W;\n27\t const bw = W / bins.length;\n28\t const plotH = H - top - bottom;\n29\t const priceX = x(price), fvX = x(d.fv);\n30\t // étiquettes écartées si les deux marqueurs sont proches\n31\t const close = Math.abs(priceX - fvX) < 64;\n32\t const lblAnchor = (px: number) => (px < 56 ? \"start\" : px > W - 56 ? \"end\" : \"middle\");\n33\t return (\n34\t \n36\t {bins.map((b, i) => {\n37\t const h = Math.max(1.5, (b.n / max) * plotH);\n38\t const inBin = price >= b.x0 && price < b.x1;\n39\t return (\n40\t \n43\t {`${b.x0} $ – ${b.x1} $ : ${b.n} annonce${b.n > 1 ? \"s\" : \"\"}`}\n44\t \n45\t );\n46\t })}\n47\t {/* fourchette de juste valeur (bande) */}\n48\t \n50\t {/* marqueur juste valeur */}\n51\t \n53\t {!close && (\n54\t Juste valeur\n56\t )}\n57\t {/* marqueur du loyer demandé */}\n58\t \n60\t Ce loyer{close ? \" / juste valeur\" : \"\"}\n62\t {/* bornes de l'axe */}\n63\t {lo} $\n64\t {hi} $\n65\t \n66\t );\n67\t}\n68\t\n69\texport default function PriceAnalysis({ uid, price }: { uid: string; price: number | null }) {\n70\t const [d, setD] = useState(null);\n71\t useEffect(() => {\n72\t setD(null);\n73\t fetchFairValue(uid).then(setD).catch(() => setD(null));\n74\t }, [uid]);\n75\t if (!d || price == null) return null;\n76\t\n77\t const pct = fmtDeviation(d.deviation);\n78\t return (\n79\t
\n80\t

Analyse de prix Lou-Ka

\n81\t
\n82\t
\n83\t
{fmtPrice(d.fv)} / mois
\n84\t
\n85\t Juste valeur estimée · fourchette {fmtPrice(d.fv_low)} – {fmtPrice(d.fv_high)}\n86\t
\n87\t
\n88\t \n89\t
\n90\t {d.verdict == null && (\n91\t

\n92\t {CONF_LABEL[d.confidence]} — pas assez de comparables fiables pour\n93\t classer ce loyer ; l'estimation est fournie à titre indicatif.\n94\t

\n95\t )}\n96\t \n97\t
\n98\t {pct && Écart : {pct} vs juste valeur}\n99\t {CONF_LABEL[d.confidence]}\n100\t {d.segment_n.toLocaleString(\"fr-CA\")} annonces comparables\n101\t {d.comps > 0 && {d.comps} voisines retenues}\n102\t
\n103\t

\n104\t Estimation indicative calculée en continu à partir des annonces\n105\t comparables du marché — pas une évaluation officielle.{\" \"}\n106\t Comment est calculée la juste valeur ?\n107\t

\n108\t
\n109\t );\n110\t}\n111\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b9bfd938-1914-4140-ab36-5200e124703f","timestamp":"2026-08-25T15:23:44.934Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/components/PriceAnalysis.tsx","content":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// components/PriceAnalysis.tsx : bloc « Analyse de prix Lou-Ka » (fiche)\n// Juste valeur estimée + fourchette + écart + confiance + mini-histogramme\n// de la position du loyer dans la distribution du segment de marché.\n// Estimation indicative calculée sur les annonces comparables (fairvalue.py).\n// -----------------------------------------------------------------------------\nimport { useEffect, useState } from \"react\";\nimport { Link } from \"react-router-dom\";\nimport { FairValueDetail, fetchFairValue, fmtPrice } from \"../api\";\nimport FairValueBadge, { fmtDeviation } from \"./FairValueBadge\";\n\nconst CONF_LABEL = { fort: \"Confiance forte\", moyen: \"Confiance moyenne\",\n faible: \"Estimation indicative\" } as const;\n\n/** Mini-histogramme : distribution des loyers du segment, marqueurs texte\n * pour « ce loyer » et la juste valeur (jamais la couleur seule). */\nfunction MiniHisto({ d, price }: { d: FairValueDetail; price: number }) {\n const bins = d.histogram;\n if (!bins || bins.length < 4) return null;\n const W = 320, H = 96, top = 18, bottom = 16;\n const lo = bins[0].x0, hi = bins[bins.length - 1].x1;\n if (hi <= lo) return null;\n const max = Math.max(...bins.map((b) => b.n), 1);\n const x = (v: number) => ((Math.min(Math.max(v, lo), hi) - lo) / (hi - lo)) * W;\n const bw = W / bins.length;\n const plotH = H - top - bottom;\n const priceX = x(price), fvX = x(d.fv);\n // étiquettes écartées si les deux marqueurs sont proches\n const close = Math.abs(priceX - fvX) < 64;\n const lblAnchor = (px: number) => (px < 56 ? \"start\" : px > W - 56 ? \"end\" : \"middle\");\n return (\n \n {bins.map((b, i) => {\n const h = Math.max(1.5, (b.n / max) * plotH);\n const inBin = price >= b.x0 && price < b.x1;\n return (\n \n {`${b.x0} $ – ${b.x1} $ : ${b.n} annonce${b.n > 1 ? \"s\" : \"\"}`}\n \n );\n })}\n {/* fourchette de juste valeur (bande) */}\n \n {/* marqueur juste valeur */}\n \n {!close && (\n Juste valeur\n )}\n {/* marqueur du loyer demandé */}\n \n Ce loyer{close ? \" / juste valeur\" : \"\"}\n {/* bornes de l'axe */}\n {lo} $\n {hi} $\n \n );\n}\n\nexport default function PriceAnalysis({ uid, price }: { uid: string; price: number | null }) {\n const [d, setD] = useState(null);\n useEffect(() => {\n setD(null);\n fetchFairValue(uid).then(setD).catch(() => setD(null));\n }, [uid]);\n if (!d || price == null) return null;\n\n const pct = fmtDeviation(d.deviation);\n return (\n
\n

Analyse de prix Lou-Ka

\n
\n
\n
{fmtPrice(d.fv)} / mois
\n
\n Juste valeur estimée · fourchette {fmtPrice(d.fv_low)} – {fmtPrice(d.fv_high)}\n
\n
\n \n
\n {d.verdict == null && (\n

\n {CONF_LABEL[d.confidence]} — pas assez de comparables fiables pour\n classer ce loyer ; l'estimation est fournie à titre indicatif.\n

\n )}\n \n
\n {pct && Écart : {pct} vs juste valeur}\n {CONF_LABEL[d.confidence]}\n {d.segment_n.toLocaleString(\"fr-CA\")} annonces comparables\n {d.comps > 0 && {d.comps} voisines retenues}\n
\n

\n Estimation indicative calculée en continu à partir des annonces\n comparables du marché — pas une évaluation officielle.{\" \"}\n Comment est calculée la juste valeur ?\n

\n
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-----------------------------------------------------------------------------\n2\t// Lou-Ka — Location court terme\n3\t// components/CtListingCard.tsx : carte d'hébergement (grille /court-terme)\n4\t// -----------------------------------------------------------------------------\n5\timport { Link } from \"react-router-dom\";\n6\timport { CtListing, ctSourceName, fmtNight } from \"../ctapi\";\n7\timport { IcoCamera } from \"./Icons\";\n8\timport SmartImg from \"./SmartImg\";\n9\t\n10\texport default function CtListingCard({ l }: { l: CtListing }) {\n11\t const img = l.images && l.images.length > 0 ? l.images[0] : null;\n12\t const meta = [\n13\t l.capacity ? `${l.capacity} pers.` : \"\",\n14\t l.bedrooms ? `${l.bedrooms} ch.` : \"\",\n15\t l.details?.spa ? \"Spa\" : \"\",\n16\t l.details?.waterfront ? \"Bord de l'eau\" : \"\",\n17\t ].filter(Boolean);\n18\t return (\n19\t \n20\t
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{l.title}
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\n45\t
\n46\t {ctSourceName(l.source)}\n47\t {meta.length > 0 && {meta.join(\" · \")}}\n48\t
\n49\t
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\n
{l.title}
\n
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\n
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threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, BackgroundTasks, HTTPException, Query\n\nfrom . import db\n\nrouter = APIRouter(prefix=\"/api/ct\", tags=[\"court-terme\"])\n\nSOURCES_CT_PATH = (Path(__file__).resolve().parent.parent.parent\n / \"data\" / \"sources_ct.json\")\n_sync_lock = threading.Lock()\n\n_SORTS = {\n \"recent\": \" ORDER BY first_seen DESC, price_night IS NULL, price_night ASC\",\n \"prix\": \" ORDER BY price_night IS NULL, price_night ASC\",\n \"prix_desc\": \" ORDER BY price_night IS NULL, price_night DESC\",\n \"note\": \" ORDER BY rating IS NULL, rating DESC, reviews DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n return d\n\n\ndef _apply_filters(sql: str, args: list,\n region: str | None, city: str | None, type_: str | None,\n source: str | None, price_min: float | None,\n price_max: float | None, capacity_min: float | None,\n bedrooms_min: float | None, pets: str | None,\n spa: int | None, waterfront: int | None,\n q: str | None) -> str:\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if type_:\n sql += \" AND property_type=?\"; args.append(type_)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_min is not None:\n sql += \" AND price_night IS NOT NULL AND price_night>=?\"\n args.append(price_min)\n if price_max is not None:\n sql += \" AND price_night IS NOT NULL AND price_night<=?\"\n args.append(price_max)\n if capacity_min is not None:\n sql += \" AND capacity IS NOT NULL AND capacity>=?\"\n args.append(capacity_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"\n args.append(bedrooms_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n if spa == 1:\n sql += \" AND json_extract(details,'$.spa')=1\"\n if waterfront == 1:\n sql += \" AND json_extract(details,'$.waterfront')=1\"\n if q:\n sql += \" AND (title LIKE ? OR city LIKE ? OR region LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n return sql\n\n\n@router.get(\"/listings\")\ndef ct_listings(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n sort: str = \"recent\",\n limit: int = Query(24, le=200),\n offset: int = 0,\n):\n if sort not in _SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n con = db.connect()\n sql = \"SELECT * FROM st_listings WHERE active=1\"\n args: list = []\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += _SORTS[sort] + \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@router.get(\"/listings.geojson\")\ndef ct_geojson(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(4000, le=10000),\n):\n con = db.connect()\n sql = (\"SELECT uid, title, property_type, city, region, price_night,\"\n \" price_label, capacity, bedrooms, rating, source, images, lat, lng\"\n \" FROM st_listings WHERE active=1\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\",\n args).fetchone()[\"c\"]\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n features = []\n for r in con.execute(sql, args).fetchall():\n images = json.loads(r[\"images\"] or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\",\n \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"],\n \"property_type\": r[\"property_type\"], \"city\": r[\"city\"],\n \"region\": r[\"region\"], \"price_night\": r[\"price_night\"],\n \"price_label\": r[\"price_label\"], \"capacity\": r[\"capacity\"],\n \"bedrooms\": r[\"bedrooms\"], \"rating\": r[\"rating\"],\n \"source\": r[\"source\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo}\n\n\n@router.get(\"/facets\")\ndef ct_facets():\n con = db.connect()\n out = {\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM st_listings WHERE active=1\"\n \" AND region<>'' GROUP BY region ORDER BY n DESC\")],\n \"types\": [dict(r) for r in con.execute(\n \"SELECT property_type AS type, COUNT(*) n FROM st_listings\"\n \" WHERE active=1 AND property_type<>''\"\n \" GROUP BY property_type ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@router.get(\"/stats\")\ndef ct_stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total, COUNT(DISTINCT source) sources,\n COUNT(DISTINCT region) regions,\n AVG(price_night) avg_night,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM st_listings WHERE active=1\"\"\").fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM st_sync_log ORDER BY ts DESC LIMIT 20\")]\n con.close()\n return {**dict(row), \"recent_syncs\": log}\n\n\n@router.get(\"/sources\")\ndef ct_sources():\n from .connectors import ST_CONNECTORS\n try:\n registry = json.loads(\n SOURCES_CT_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n except (OSError, ValueError, KeyError):\n registry = []\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM st_sync_log WHERE ok=1\"\n \" GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"connector\"] = s[\"id\"] in ST_CONNECTORS\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n con.close()\n if row is None:\n raise HTTPException(404, \"Hébergement introuvable\")\n return _row_to_dict(row)\n\n\n@router.post(\"/sync\")\ndef ct_trigger_sync(background: BackgroundTasks, source: str | None = None):\n from . import ingest\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n","structuredPatch":[{"oldStart":6,"oldLines":6,"newStart":6,"newLines":7,"lines":[" from __future__ import annotations"," "," import json","+import math"," import threading"," from pathlib import Path"," "]}],"userModified":false,"replaceAll":false}}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhRJTHuMWE4GksftvAk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011BqthcnCMFwsmjRKEUKS5c","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/web.py","old_string":"@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):","new_string":"def _percentile(sorted_vals: list[float], q: float) -> float:\n if not sorted_vals:\n return 0.0\n pos = (len(sorted_vals) - 1) * q\n lo, hi = int(pos), min(int(pos) + 1, len(sorted_vals) - 1)\n return sorted_vals[lo] + (sorted_vals[hi] - sorted_vals[lo]) * (pos - lo)\n\n\ndef _haversine_km(lat1, lng1, lat2, lng2) -> float:\n rl1, rl2 = math.radians(lat1), math.radians(lat2)\n dlat, dlng = rl2 - rl1, math.radians(lng2 - lng1)\n a = (math.sin(dlat / 2) ** 2\n + math.cos(rl1) * math.cos(rl2) * math.sin(dlng / 2) ** 2)\n return 6371.0 * 2 * math.asin(math.sqrt(a))\n\n\n@router.get(\"/listings/{uid}/context\")\ndef ct_listing_context(uid: str):\n \"\"\"Contexte d'une fiche : analyse du prix/nuit vs segment comparable\n (région → + type → + capacité) et hébergements similaires à proximité.\"\"\"\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n if row is None:\n con.close()\n raise HTTPException(404, \"Hébergement introuvable\")\n l = dict(row)\n\n # --- analyse de prix : segment le plus précis avec ≥ 12 comparables ------\n price_block = None\n if l[\"price_night\"] is not None and l[\"region\"]:\n candidates: list[tuple[str, str, list]] = []\n base_sql = (\" AND region=?\")\n base_args: list = [l[\"region\"]]\n if l[\"property_type\"] and l[\"capacity\"]:\n candidates.append((\n f\"{l['property_type']} · {int(l['capacity'])}±2 pers. · {l['region']}\",\n base_sql + \" AND property_type=? AND capacity BETWEEN ? AND ?\",\n base_args + [l[\"property_type\"], l[\"capacity\"] - 2,\n l[\"capacity\"] + 2]))\n if l[\"property_type\"]:\n candidates.append((\n f\"{l['property_type']} · {l['region']}\",\n base_sql + \" AND property_type=?\",\n base_args + [l[\"property_type\"]]))\n candidates.append((l[\"region\"], base_sql, base_args))\n\n for label, extra, args in candidates:\n vals = [r[\"p\"] for r in con.execute(\n \"SELECT price_night p FROM st_listings WHERE active=1\"\n \" AND price_night IS NOT NULL AND uid<>?\" + extra\n + \" ORDER BY price_night\", [uid] + args)]\n if len(vals) < 12:\n continue\n med = _percentile(vals, 0.5)\n deviation = (l[\"price_night\"] - med) / med if med else None\n verdict = None\n if deviation is not None:\n verdict = (\"sous\" if deviation <= -0.15\n else \"dans\" if deviation < 0.12 else \"dessus\")\n # histogramme 12 classes entre p5 et p95 (queues écrasées)\n lo, hi = _percentile(vals, 0.05), _percentile(vals, 0.95)\n bins = []\n if hi > lo:\n step = (hi - lo) / 12\n edges = [lo + i * step for i in range(13)]\n counts = [0] * 12\n for v in vals:\n i = min(11, max(0, int((v - lo) / step)))\n counts[i] += 1\n bins = [{\"x0\": round(edges[i]), \"x1\": round(edges[i + 1]),\n \"n\": counts[i]} for i in range(12)]\n rank = sum(1 for v in vals if v <= l[\"price_night\"])\n price_block = {\n \"segment\": label, \"n\": len(vals),\n \"median\": round(med), \"p25\": round(_percentile(vals, 0.25)),\n \"p75\": round(_percentile(vals, 0.75)),\n \"deviation\": round(deviation, 3) if deviation is not None else None,\n \"verdict\": verdict,\n \"percentile\": round(100 * rank / len(vals)),\n \"histogram\": bins,\n }\n break\n\n # --- hébergements similaires ---------------------------------------------\n similar: list[dict] = []\n if l[\"lat\"] is not None and l[\"lng\"] is not None:\n dlat = 0.45 # ≈ 50 km\n dlng = dlat / max(0.2, math.cos(math.radians(l[\"lat\"])))\n rows = con.execute(\n \"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"\n \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n \" AND images IS NOT NULL AND images<>'[]' LIMIT 400\",\n (uid, l[\"lat\"] - dlat, l[\"lat\"] + dlat,\n l[\"lng\"] - dlng, l[\"lng\"] + dlng)).fetchall()\n scored = []\n for r in rows:\n km = _haversine_km(l[\"lat\"], l[\"lng\"], r[\"lat\"], r[\"lng\"])\n if km > 50:\n continue\n same_type = (l[\"property_type\"]\n and r[\"property_type\"] == l[\"property_type\"])\n scored.append((0 if same_type else 1, km, r))\n scored.sort(key=lambda t: (t[0], t[1]))\n for _, km, r in scored[:8]:\n d = _row_to_dict(r)\n d[\"distance_km\"] = round(km, 1)\n similar.append(d)\n if not similar and l[\"region\"]:\n sql = (\"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"\n \" AND region=? AND images IS NOT NULL AND images<>'[]'\")\n args = [uid, l[\"region\"]]\n if l[\"property_type\"]:\n sql += \" AND property_type=?\"\n args.append(l[\"property_type\"])\n sql += \" ORDER BY rating IS NULL, rating DESC, first_seen DESC LIMIT 8\"\n similar = [_row_to_dict(r) for r in con.execute(sql, args)]\n\n con.close()\n return {\"price\": price_block, \"similar\": similar}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1996,"cache_read_input_tokens":89632,"cache_creation":{"ephemeral_5m_input_tokens":1996,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"da03dfe7-3ea3-4cfc-8aa6-58364a10e148"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011BqthcnCMFwsmjRKEUKS5c","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8ebca6e9-ede8-443f-9cfb-5d519173301a","timestamp":"2026-08-25T15:24:40.760Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/web.py","oldString":"@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):","newString":"def _percentile(sorted_vals: list[float], q: float) -> float:\n if not sorted_vals:\n return 0.0\n pos = (len(sorted_vals) - 1) * q\n lo, hi = int(pos), min(int(pos) + 1, len(sorted_vals) - 1)\n return sorted_vals[lo] + (sorted_vals[hi] - sorted_vals[lo]) * (pos - lo)\n\n\ndef _haversine_km(lat1, lng1, lat2, lng2) -> float:\n rl1, rl2 = math.radians(lat1), math.radians(lat2)\n dlat, dlng = rl2 - rl1, math.radians(lng2 - lng1)\n a = (math.sin(dlat / 2) ** 2\n + math.cos(rl1) * math.cos(rl2) * math.sin(dlng / 2) ** 2)\n return 6371.0 * 2 * math.asin(math.sqrt(a))\n\n\n@router.get(\"/listings/{uid}/context\")\ndef ct_listing_context(uid: str):\n \"\"\"Contexte d'une fiche : analyse du prix/nuit vs segment comparable\n (région → + type → + capacité) et hébergements similaires à proximité.\"\"\"\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n if row is None:\n con.close()\n raise HTTPException(404, \"Hébergement introuvable\")\n l = dict(row)\n\n # --- analyse de prix : segment le plus précis avec ≥ 12 comparables ------\n price_block = None\n if l[\"price_night\"] is not None and l[\"region\"]:\n candidates: list[tuple[str, str, list]] = []\n base_sql = (\" AND region=?\")\n base_args: list = [l[\"region\"]]\n if l[\"property_type\"] and l[\"capacity\"]:\n candidates.append((\n f\"{l['property_type']} · {int(l['capacity'])}±2 pers. · {l['region']}\",\n base_sql + \" AND property_type=? AND capacity BETWEEN ? AND ?\",\n base_args + [l[\"property_type\"], l[\"capacity\"] - 2,\n l[\"capacity\"] + 2]))\n if l[\"property_type\"]:\n candidates.append((\n f\"{l['property_type']} · {l['region']}\",\n base_sql + \" AND property_type=?\",\n base_args + [l[\"property_type\"]]))\n candidates.append((l[\"region\"], base_sql, base_args))\n\n for label, extra, args in candidates:\n vals = [r[\"p\"] for r in con.execute(\n \"SELECT price_night p FROM st_listings WHERE active=1\"\n \" AND price_night IS NOT NULL AND uid<>?\" + extra\n + \" ORDER BY price_night\", [uid] + args)]\n if len(vals) < 12:\n continue\n med = _percentile(vals, 0.5)\n deviation = (l[\"price_night\"] - med) / med if med else None\n verdict = None\n if deviation is not None:\n verdict = (\"sous\" if deviation <= -0.15\n else \"dans\" if deviation < 0.12 else \"dessus\")\n # histogramme 12 classes entre p5 et p95 (queues écrasées)\n lo, hi = _percentile(vals, 0.05), _percentile(vals, 0.95)\n bins = []\n if hi > lo:\n step = (hi - lo) / 12\n edges = [lo + i * step for i in range(13)]\n counts = [0] * 12\n for v in vals:\n i = min(11, max(0, int((v - lo) / step)))\n counts[i] += 1\n bins = [{\"x0\": round(edges[i]), \"x1\": round(edges[i + 1]),\n \"n\": counts[i]} for i in range(12)]\n rank = sum(1 for v in vals if v <= l[\"price_night\"])\n price_block = {\n \"segment\": label, \"n\": len(vals),\n \"median\": round(med), \"p25\": round(_percentile(vals, 0.25)),\n \"p75\": round(_percentile(vals, 0.75)),\n \"deviation\": round(deviation, 3) if deviation is not None else None,\n \"verdict\": verdict,\n \"percentile\": round(100 * rank / len(vals)),\n \"histogram\": bins,\n }\n break\n\n # --- hébergements similaires ---------------------------------------------\n similar: list[dict] = []\n if l[\"lat\"] is not None and l[\"lng\"] is not None:\n dlat = 0.45 # ≈ 50 km\n dlng = dlat / max(0.2, math.cos(math.radians(l[\"lat\"])))\n rows = con.execute(\n \"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"\n \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n \" AND images IS NOT NULL AND images<>'[]' LIMIT 400\",\n (uid, l[\"lat\"] - dlat, l[\"lat\"] + dlat,\n l[\"lng\"] - dlng, l[\"lng\"] + dlng)).fetchall()\n scored = []\n for r in rows:\n km = _haversine_km(l[\"lat\"], l[\"lng\"], r[\"lat\"], r[\"lng\"])\n if km > 50:\n continue\n same_type = (l[\"property_type\"]\n and r[\"property_type\"] == l[\"property_type\"])\n scored.append((0 if same_type else 1, km, r))\n scored.sort(key=lambda t: (t[0], t[1]))\n for _, km, r in scored[:8]:\n d = _row_to_dict(r)\n d[\"distance_km\"] = round(km, 1)\n similar.append(d)\n if not similar and l[\"region\"]:\n sql = (\"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"\n \" AND region=? AND images IS NOT NULL AND images<>'[]'\")\n args = [uid, l[\"region\"]]\n if l[\"property_type\"]:\n sql += \" AND property_type=?\"\n args.append(l[\"property_type\"])\n sql += \" ORDER BY rating IS NULL, rating DESC, first_seen DESC LIMIT 8\"\n similar = [_row_to_dict(r) for r in con.execute(sql, args)]\n\n con.close()\n return {\"price\": price_block, \"similar\": similar}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# web.py : routeur API /api/ct/* (liste, geojson, détail, facettes, stats)\n# — inclus par louka/web.py, entièrement séparé du long terme.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport math\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, BackgroundTasks, HTTPException, Query\n\nfrom . import db\n\nrouter = APIRouter(prefix=\"/api/ct\", tags=[\"court-terme\"])\n\nSOURCES_CT_PATH = (Path(__file__).resolve().parent.parent.parent\n / \"data\" / \"sources_ct.json\")\n_sync_lock = threading.Lock()\n\n_SORTS = {\n \"recent\": \" ORDER BY first_seen DESC, price_night IS NULL, price_night ASC\",\n \"prix\": \" ORDER BY price_night IS NULL, price_night ASC\",\n \"prix_desc\": \" ORDER BY price_night IS NULL, price_night DESC\",\n \"note\": \" ORDER BY rating IS NULL, rating DESC, reviews DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n return d\n\n\ndef _apply_filters(sql: str, args: list,\n region: str | None, city: str | None, type_: str | None,\n source: str | None, price_min: float | None,\n price_max: float | None, capacity_min: float | None,\n bedrooms_min: float | None, pets: str | None,\n spa: int | None, waterfront: int | None,\n q: str | None) -> str:\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if type_:\n sql += \" AND property_type=?\"; args.append(type_)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_min is not None:\n sql += \" AND price_night IS NOT NULL AND price_night>=?\"\n args.append(price_min)\n if price_max is not None:\n sql += \" AND price_night IS NOT NULL AND price_night<=?\"\n args.append(price_max)\n if capacity_min is not None:\n sql += \" AND capacity IS NOT NULL AND capacity>=?\"\n args.append(capacity_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"\n args.append(bedrooms_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n if spa == 1:\n sql += \" AND json_extract(details,'$.spa')=1\"\n if waterfront == 1:\n sql += \" AND json_extract(details,'$.waterfront')=1\"\n if q:\n sql += \" AND (title LIKE ? OR city LIKE ? OR region LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n return sql\n\n\n@router.get(\"/listings\")\ndef ct_listings(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n sort: str = \"recent\",\n limit: int = Query(24, le=200),\n offset: int = 0,\n):\n if sort not in _SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n con = db.connect()\n sql = \"SELECT * FROM st_listings WHERE active=1\"\n args: list = []\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += _SORTS[sort] + \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@router.get(\"/listings.geojson\")\ndef ct_geojson(\n region: str | None = None,\n city: str | None = None,\n type: str | None = None,\n source: str | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n capacity_min: float | None = None,\n bedrooms_min: float | None = None,\n pets: str | None = None,\n spa: int | None = None,\n waterfront: int | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(4000, le=10000),\n):\n con = db.connect()\n sql = (\"SELECT uid, title, property_type, city, region, price_night,\"\n \" price_label, capacity, bedrooms, rating, source, images, lat, lng\"\n \" FROM st_listings WHERE active=1\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n sql = _apply_filters(sql, args, region, city, type, source, price_min,\n price_max, capacity_min, bedrooms_min, pets, spa,\n waterfront, q)\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\",\n args).fetchone()[\"c\"]\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n features = []\n for r in con.execute(sql, args).fetchall():\n images = json.loads(r[\"images\"] or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\",\n \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"],\n \"property_type\": r[\"property_type\"], \"city\": r[\"city\"],\n \"region\": r[\"region\"], \"price_night\": r[\"price_night\"],\n \"price_label\": r[\"price_label\"], \"capacity\": r[\"capacity\"],\n \"bedrooms\": r[\"bedrooms\"], \"rating\": r[\"rating\"],\n \"source\": r[\"source\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo}\n\n\n@router.get(\"/facets\")\ndef ct_facets():\n con = db.connect()\n out = {\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM st_listings WHERE active=1\"\n \" AND region<>'' GROUP BY region ORDER BY n DESC\")],\n \"types\": [dict(r) for r in con.execute(\n \"SELECT property_type AS type, COUNT(*) n FROM st_listings\"\n \" WHERE active=1 AND property_type<>''\"\n \" GROUP BY property_type ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@router.get(\"/stats\")\ndef ct_stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total, COUNT(DISTINCT source) sources,\n COUNT(DISTINCT region) regions,\n AVG(price_night) avg_night,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM st_listings WHERE active=1\"\"\").fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM st_sync_log ORDER BY ts DESC LIMIT 20\")]\n con.close()\n return {**dict(row), \"recent_syncs\": log}\n\n\n@router.get(\"/sources\")\ndef ct_sources():\n from .connectors import ST_CONNECTORS\n try:\n registry = json.loads(\n SOURCES_CT_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n except (OSError, ValueError, KeyError):\n registry = []\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM st_listings WHERE active=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM st_sync_log WHERE ok=1\"\n \" GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"connector\"] = s[\"id\"] in ST_CONNECTORS\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@router.get(\"/listings/{uid}\")\ndef ct_listing(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",\n (uid,)).fetchone()\n con.close()\n if row is None:\n raise HTTPException(404, \"Hébergement introuvable\")\n return _row_to_dict(row)\n\n\n@router.post(\"/sync\")\ndef ct_trigger_sync(background: BackgroundTasks, source: str | None = None):\n from . import ingest\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n","structuredPatch":[{"oldStart":225,"oldLines":6,"newStart":225,"newLines":128,"lines":[" return {\"sources\": registry}"," "," ","+def _percentile(sorted_vals: list[float], q: float) -> float:","+ if not sorted_vals:","+ return 0.0","+ pos = (len(sorted_vals) - 1) * q","+ lo, hi = int(pos), min(int(pos) + 1, len(sorted_vals) - 1)","+ return sorted_vals[lo] + (sorted_vals[hi] - sorted_vals[lo]) * (pos - lo)","+","+","+def _haversine_km(lat1, lng1, lat2, lng2) -> float:","+ rl1, rl2 = math.radians(lat1), math.radians(lat2)","+ dlat, dlng = rl2 - rl1, math.radians(lng2 - lng1)","+ a = (math.sin(dlat / 2) ** 2","+ + math.cos(rl1) * math.cos(rl2) * math.sin(dlng / 2) ** 2)","+ return 6371.0 * 2 * math.asin(math.sqrt(a))","+","+","+@router.get(\"/listings/{uid}/context\")","+def ct_listing_context(uid: str):","+ \"\"\"Contexte d'une fiche : analyse du prix/nuit vs segment comparable","+ (région → + type → + capacité) et hébergements similaires à proximité.\"\"\"","+ con = db.connect()","+ row = con.execute(\"SELECT * FROM st_listings WHERE uid=?\",","+ (uid,)).fetchone()","+ if row is None:","+ con.close()","+ raise HTTPException(404, \"Hébergement introuvable\")","+ l = dict(row)","+","+ # --- analyse de prix : segment le plus précis avec ≥ 12 comparables ------","+ price_block = None","+ if l[\"price_night\"] is not None and l[\"region\"]:","+ candidates: list[tuple[str, str, list]] = []","+ base_sql = (\" AND region=?\")","+ base_args: list = [l[\"region\"]]","+ if l[\"property_type\"] and l[\"capacity\"]:","+ candidates.append((","+ f\"{l['property_type']} · {int(l['capacity'])}±2 pers. · {l['region']}\",","+ base_sql + \" AND property_type=? AND capacity BETWEEN ? AND ?\",","+ base_args + [l[\"property_type\"], l[\"capacity\"] - 2,","+ l[\"capacity\"] + 2]))","+ if l[\"property_type\"]:","+ candidates.append((","+ f\"{l['property_type']} · {l['region']}\",","+ base_sql + \" AND property_type=?\",","+ base_args + [l[\"property_type\"]]))","+ candidates.append((l[\"region\"], base_sql, base_args))","+","+ for label, extra, args in candidates:","+ vals = [r[\"p\"] for r in con.execute(","+ \"SELECT price_night p FROM st_listings WHERE active=1\"","+ \" AND price_night IS NOT NULL AND uid<>?\" + extra","+ + \" ORDER BY price_night\", [uid] + args)]","+ if len(vals) < 12:","+ continue","+ med = _percentile(vals, 0.5)","+ deviation = (l[\"price_night\"] - med) / med if med else None","+ verdict = None","+ if deviation is not None:","+ verdict = (\"sous\" if deviation <= -0.15","+ else \"dans\" if deviation < 0.12 else \"dessus\")","+ # histogramme 12 classes entre p5 et p95 (queues écrasées)","+ lo, hi = _percentile(vals, 0.05), _percentile(vals, 0.95)","+ bins = []","+ if hi > lo:","+ step = (hi - lo) / 12","+ edges = [lo + i * step for i in range(13)]","+ counts = [0] * 12","+ for v in vals:","+ i = min(11, max(0, int((v - lo) / step)))","+ counts[i] += 1","+ bins = [{\"x0\": round(edges[i]), \"x1\": round(edges[i + 1]),","+ \"n\": counts[i]} for i in range(12)]","+ rank = sum(1 for v in vals if v <= l[\"price_night\"])","+ price_block = {","+ \"segment\": label, \"n\": len(vals),","+ \"median\": round(med), \"p25\": round(_percentile(vals, 0.25)),","+ \"p75\": round(_percentile(vals, 0.75)),","+ \"deviation\": round(deviation, 3) if deviation is not None else None,","+ \"verdict\": verdict,","+ \"percentile\": round(100 * rank / len(vals)),","+ \"histogram\": bins,","+ }","+ break","+","+ # --- hébergements similaires ---------------------------------------------","+ similar: list[dict] = []","+ if l[\"lat\"] is not None and l[\"lng\"] is not None:","+ dlat = 0.45 # ≈ 50 km","+ dlng = dlat / max(0.2, math.cos(math.radians(l[\"lat\"])))","+ rows = con.execute(","+ \"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"","+ \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"","+ \" AND images IS NOT NULL AND images<>'[]' LIMIT 400\",","+ (uid, l[\"lat\"] - dlat, l[\"lat\"] + dlat,","+ l[\"lng\"] - dlng, l[\"lng\"] + dlng)).fetchall()","+ scored = []","+ for r in rows:","+ km = _haversine_km(l[\"lat\"], l[\"lng\"], r[\"lat\"], r[\"lng\"])","+ if km > 50:","+ continue","+ same_type = (l[\"property_type\"]","+ and r[\"property_type\"] == l[\"property_type\"])","+ scored.append((0 if same_type else 1, km, r))","+ scored.sort(key=lambda t: (t[0], t[1]))","+ for _, km, r in scored[:8]:","+ d = _row_to_dict(r)","+ d[\"distance_km\"] = round(km, 1)","+ similar.append(d)","+ if not similar and l[\"region\"]:","+ sql = (\"SELECT * FROM st_listings WHERE active=1 AND uid<>?\"","+ \" AND region=? AND images IS NOT NULL AND images<>'[]'\")","+ args = [uid, l[\"region\"]]","+ if l[\"property_type\"]:","+ sql += \" AND property_type=?\"","+ args.append(l[\"property_type\"])","+ sql += \" ORDER BY rating IS NULL, rating DESC, first_seen DESC LIMIT 8\"","+ similar = [_row_to_dict(r) for r in con.execute(sql, args)]","+","+ con.close()","+ return {\"price\": price_block, \"similar\": similar}","+","+"," @router.get(\"/listings/{uid}\")"," def ct_listing(uid: str):"," con = db.connect()"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e56be0b4-3d92-47b2-a128-0716bb83557c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Inspecter hebergement-charlevoix et booktonchalet","usage":{"total_tokens":47794,"tool_uses":26,"duration_ms":233930},"last_tool_name":"Bash","uuid":"fd19629f-ac2d-4fe6-842e-3c89633523d7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhTzPSND8AaJ7Cietvj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4118,"cache_read_input_tokens":91628,"cache_creation":{"ephemeral_5m_input_tokens":4118,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"668072ab-1562-475f-b5e5-53901ebce61b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhTzPSND8AaJ7Cietvj","type":"message","role":"assistant","content":[{"type":"text","text":"Je teste l'endpoint directement en Python avant de passer au frontend."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4118,"cache_read_input_tokens":91628,"cache_creation":{"ephemeral_5m_input_tokens":4118,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4bb72ded-0022-4008-b6e9-6ea3a5bd5a53"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhTzPSND8AaJ7Cietvj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016iRab1k6XgkmMwiB686b3W","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nimport json, sqlite3\nfrom louka.shortterm import web, db\ncon = db.connect()\nuids = [r[\"uid\"] for r in con.execute(\n \"select uid from st_listings where active=1 and price_night is not null and lat is not null and region<>'' and property_type<>'' limit 3\")]\nu2 = [r[\"uid\"] for r in con.execute(\n \"select uid from st_listings where active=1 and (lat is null or price_night is null) limit 2\")]\ncon.close()\nfor uid in uids + u2:\n r = web.ct_listing_context(uid)\n p = r[\"price\"]\n print(uid[:40], \"| prix:\", (f\"{p['segment']} n={p['n']} med={p['median']} dev={p['deviation']} verdict={p['verdict']} pct={p['percentile']} bins={len(p['histogram'])}\" if p else None),\n \"| similaires:\", len(r[\"similar\"]),\n (\"d=\" + str(r[\"similar\"][0].get(\"distance_km\")) if r[\"similar\"] else \"\"))\nEOF","description":"Tester ct_listing_context sur 5 fiches"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4118,"cache_read_input_tokens":91628,"cache_creation":{"ephemeral_5m_input_tokens":4118,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"81a962a0-0605-4d99-b982-1787efd6ca50"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a792af79009f0b441","tool_use_id":"toolu_01KEM9xWGigL2dMLa442UNei","description":"Running Scrapfly check of TripAdvisor VR page and Sonder Montreal page","usage":{"total_tokens":38066,"tool_uses":8,"duration_ms":100145},"last_tool_name":"Bash","uuid":"7da100b1-3047-4b54-b14e-b7d20917461c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016iRab1k6XgkmMwiB686b3W","type":"tool_result","content":"airbnb:1710133630872686207 | prix: Maison · Laurentides n=762 med=352 dev=-0.392 verdict=sous pct=16 bins=12 | similaires: 8 d=14.6\nairbnb:1700136524678891433 | prix: Chalet · Laurentides n=2449 med=336 dev=0.277 verdict=dessus pct=65 bins=12 | similaires: 8 d=4.0\nairbnb:1399256138825021346 | prix: Loft · Cantons-de-l'Est n=27 med=193 dev=-0.479 verdict=sous pct=0 bins=12 | similaires: 8 d=5.1\nwechalet:4938e32a-cf64-4b8e-b9ae-29743e1 | prix: None | similaires: 8 d=0.1\nwechalet:b952fdd4-8f97-49b3-b473-aac9feb | prix: None | similaires: 8 d=3.9","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f3a68858-ce3f-4dfc-ad55-e6546524a1f9","timestamp":"2026-08-25T15:24:49.097Z","tool_use_result":{"stdout":"airbnb:1710133630872686207 | prix: Maison · Laurentides n=762 med=352 dev=-0.392 verdict=sous pct=16 bins=12 | similaires: 8 d=14.6\nairbnb:1700136524678891433 | prix: Chalet · Laurentides n=2449 med=336 dev=0.277 verdict=dessus pct=65 bins=12 | similaires: 8 d=4.0\nairbnb:1399256138825021346 | prix: Loft · Cantons-de-l'Est n=27 med=193 dev=-0.479 verdict=sous pct=0 bins=12 | similaires: 8 d=5.1\nwechalet:4938e32a-cf64-4b8e-b9ae-29743e1 | prix: None | similaires: 8 d=0.1\nwechalet:b952fdd4-8f97-49b3-b473-aac9feb | prix: None | similaires: 8 d=3.9","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2b840e0d-0d7b-42c6-959a-6c74d48ffd43","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af1d91b11f220b552","tool_use_id":"toolu_01Qr8wDBmPA2LYvDrKfadpHK","description":"Running Inspecter ATR Cantons, gîtes, retries 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-----------------------------------------------------------------------------\n// Lou-Ka — Location court terme (chalets, séjours, hébergements)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// ctapi.ts : types + client API /api/ct/* — sous-système séparé du long terme.\n// -----------------------------------------------------------------------------\n\nexport interface CtDetails {\n spa?: boolean;\n pool?: boolean;\n waterfront?: boolean;\n sauna?: boolean;\n wifi?: boolean;\n fireplace?: boolean;\n ev_charger?: boolean;\n [k: string]: unknown;\n}\n\nexport interface CtListing {\n uid: string;\n source: string;\n external_id: string;\n url: string;\n title: string;\n property_type: string;\n address: string;\n city: string;\n region: string;\n price_night: number | null;\n price_label: string;\n capacity: number | null;\n bedrooms: number | null;\n beds: number | null;\n bathrooms: number | null;\n pets: string | null; // \"oui\" | \"non\" | \"conditions\"\n citq: string | null; // numéro d'enregistrement CITQ\n rating: number | null; // sur 5\n reviews: number | null;\n description: string;\n amenities: string[];\n details: CtDetails;\n images: string[];\n lat: number | null;\n lng: number | null;\n first_seen?: number;\n last_seen?: number;\n active?: number;\n}\n\nexport interface CtFacets {\n regions: { region: string; n: number }[];\n types: { type: string; n: number }[];\n sources: { source: string; n: number }[];\n}\n\nexport interface CtStats {\n total: number;\n sources: number;\n regions: number;\n avg_night: number | null;\n geocoded: number;\n}\n\nexport interface CtSource {\n id: string;\n name: string;\n url: string;\n category: string;\n status?: string;\n connector: boolean;\n active_listings: number;\n last_sync: number | null;\n}\n\nexport interface CtFilters {\n region?: string;\n city?: string;\n type?: string;\n source?: string;\n price_min?: string;\n price_max?: string;\n capacity_min?: string;\n bedrooms_min?: string;\n pets?: string; // \"oui\"\n spa?: string; // \"1\"\n waterfront?: string; // \"1\"\n q?: string;\n sort?: string; // recent | prix | prix_desc | note\n}\n\nconst CT_SOURCE_NAMES: Record = {};\nexport function registerCtSourceNames(sources: CtSource[]) {\n for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;\n}\nexport function ctSourceName(id: string): string {\n return CT_SOURCE_NAMES[id] ?? id;\n}\n\nasync function get(path: string): Promise {\n const ctrl = new AbortController();\n const timer = setTimeout(() => ctrl.abort(), 20000);\n try {\n const res = await fetch(path, { signal: ctrl.signal });\n if (!res.ok) throw new Error(`API ${res.status} — ${path}`);\n return (await res.json()) as T;\n } finally {\n clearTimeout(timer);\n }\n}\n\nexport function fetchCtListings(f: CtFilters, limit?: number, offset?: number) {\n const params = new URLSearchParams();\n for (const [k, v] of Object.entries(f)) if (v) params.set(k, v);\n if (limit != null) params.set(\"limit\", String(limit));\n if (offset) params.set(\"offset\", String(offset));\n return get<{ total: number; count: number; listings: CtListing[] }>(\n `/api/ct/listings?${params}`);\n}\n\nexport const fetchCtListing = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}`);\nexport const fetchCtFacets = () => get(\"/api/ct/facets\");\nexport const fetchCtStats = () => get(\"/api/ct/stats\");\nexport const fetchCtSources = () =>\n get<{ sources: CtSource[] }>(\"/api/ct/sources\");\n\nexport const fmtNight = (p: number | null, label?: string) =>\n p != null\n ? `${p.toLocaleString(\"fr-CA\", { maximumFractionDigits: 0 })} $`\n : label || \"Prix sur demande\";\n","structuredPatch":[{"oldStart":87,"oldLines":6,"newStart":87,"newLines":23,"lines":[" sort?: string; // recent | prix | prix_desc | note"," }"," ","+export interface CtPriceContext {","+ segment: string;","+ n: number;","+ median: number;","+ p25: number;","+ p75: number;","+ deviation: number | null; // (prix − médiane) / médiane","+ verdict: \"sous\" | \"dans\" | \"dessus\" | null;","+ percentile: number; // position du prix dans le segment (0-100)","+ histogram: { x0: number; x1: number; n: number }[];","+}","+","+export interface CtContext {","+ price: CtPriceContext | null;","+ similar: (CtListing & { distance_km?: number })[];","+}","+"," const CT_SOURCE_NAMES: Record = {};"," export function registerCtSourceNames(sources: CtSource[]) {"," for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhUcsuJUvFEPrQwfTFr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LJANC1EobKui6zXFGfwTEY","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/ctapi.ts","old_string":"export const fetchCtListing = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}`);","new_string":"export const fetchCtListing = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}`);\nexport const fetchCtContext = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}/context`);"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":851,"cache_read_input_tokens":95746,"cache_creation":{"ephemeral_5m_input_tokens":851,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e9b0207e-b992-48e0-a635-164fe2fd17d7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LJANC1EobKui6zXFGfwTEY","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/ctapi.ts has been updated 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-----------------------------------------------------------------------------\n\nexport interface CtDetails {\n spa?: boolean;\n pool?: boolean;\n waterfront?: boolean;\n sauna?: boolean;\n wifi?: boolean;\n fireplace?: boolean;\n ev_charger?: boolean;\n [k: string]: unknown;\n}\n\nexport interface CtListing {\n uid: string;\n source: string;\n external_id: string;\n url: string;\n title: string;\n property_type: string;\n address: string;\n city: string;\n region: string;\n price_night: number | null;\n price_label: string;\n capacity: number | null;\n bedrooms: number | null;\n beds: number | null;\n bathrooms: number | null;\n pets: string | null; // \"oui\" | \"non\" | \"conditions\"\n citq: string | null; // numéro d'enregistrement CITQ\n rating: number | null; // sur 5\n reviews: number | null;\n description: string;\n amenities: string[];\n details: CtDetails;\n images: string[];\n lat: number | null;\n lng: number | null;\n first_seen?: number;\n last_seen?: number;\n active?: number;\n}\n\nexport interface CtFacets {\n regions: { region: string; n: number }[];\n types: { type: string; n: number }[];\n sources: { source: string; n: number }[];\n}\n\nexport interface CtStats {\n total: number;\n sources: number;\n regions: number;\n avg_night: number | null;\n geocoded: number;\n}\n\nexport interface CtSource {\n id: string;\n name: string;\n url: string;\n category: string;\n status?: string;\n connector: boolean;\n active_listings: number;\n last_sync: number | null;\n}\n\nexport interface CtFilters {\n region?: string;\n city?: string;\n type?: string;\n source?: string;\n price_min?: string;\n price_max?: string;\n capacity_min?: string;\n bedrooms_min?: string;\n pets?: string; // \"oui\"\n spa?: string; // \"1\"\n waterfront?: string; // \"1\"\n q?: string;\n sort?: string; // recent | prix | prix_desc | note\n}\n\nexport interface CtPriceContext {\n segment: string;\n n: number;\n median: number;\n p25: number;\n p75: number;\n deviation: number | null; // (prix − médiane) / médiane\n verdict: \"sous\" | \"dans\" | \"dessus\" | null;\n percentile: number; // position du prix dans le segment (0-100)\n histogram: { x0: number; x1: number; n: number }[];\n}\n\nexport interface CtContext {\n price: CtPriceContext | null;\n similar: (CtListing & { distance_km?: number })[];\n}\n\nconst CT_SOURCE_NAMES: Record = {};\nexport function registerCtSourceNames(sources: CtSource[]) {\n for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;\n}\nexport function ctSourceName(id: string): string {\n return CT_SOURCE_NAMES[id] ?? id;\n}\n\nasync function get(path: string): Promise {\n const ctrl = new AbortController();\n const timer = setTimeout(() => ctrl.abort(), 20000);\n try {\n const res = await fetch(path, { signal: ctrl.signal });\n if (!res.ok) throw new Error(`API ${res.status} — ${path}`);\n return (await res.json()) as T;\n } finally {\n clearTimeout(timer);\n }\n}\n\nexport function fetchCtListings(f: CtFilters, limit?: number, 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get(`/api/ct/listings/${encodeURIComponent(uid)}`);","+export const fetchCtContext = (uid: string) =>","+ get(`/api/ct/listings/${encodeURIComponent(uid)}/context`);"," export const fetchCtFacets = () => get(\"/api/ct/facets\");"," export const fetchCtStats = () => get(\"/api/ct/stats\");"," export const fetchCtSources = () =>"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"008a098e-9fcf-4307-a59c-6868479c6b14","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Running Voir comment le .env est chargé","usage":{"total_tokens":65932,"tool_uses":17,"duration_ms":132570},"last_tool_name":"Bash","uuid":"0abf9565-0ade-4293-8661-a1e348184831","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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price: number }) {\n const bins = p.histogram;\n if (!bins || bins.length < 4) return null;\n const W = 320, H = 96, top = 18, bottom = 16;\n const lo = bins[0].x0, hi = bins[bins.length - 1].x1;\n if (hi <= lo) return null;\n const max = Math.max(...bins.map((b) => b.n), 1);\n const x = (v: number) => ((Math.min(Math.max(v, lo), hi) - lo) / (hi - lo)) * W;\n const bw = W / bins.length;\n const plotH = H - top - bottom;\n const priceX = x(price), medX = x(p.median);\n const close = Math.abs(priceX - medX) < 64;\n const lblAnchor = (px: number) => (px < 56 ? \"start\" : px > W - 56 ? \"end\" : \"middle\");\n return (\n \n {bins.map((b, i) => {\n const h = Math.max(1.5, (b.n / max) * plotH);\n const inBin = price >= b.x0 && price < b.x1;\n return (\n \n {`${b.x0} $ – ${b.x1} $ : ${b.n} hébergement${b.n > 1 ? \"s\" : \"\"}`}\n \n );\n })}\n {/* fourchette interquartile (bande) */}\n \n {/* marqueur médiane */}\n \n {!close && (\n Médiane\n )}\n {/* marqueur du prix demandé */}\n \n Ce prix{close ? \" / médiane\" : \"\"}\n {lo} $\n {hi} $\n \n );\n}\n\nexport default function CtPriceAnalysis({ p, price }:\n { p: CtPriceContext | null; price: number | null }) {\n if (!p || price == null) return null;\n const badge = ctDealBadge(p);\n return (\n
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Analyse du prix Lou-Ka

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\n
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{fmtNight(p.median)} / nuit
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\n Prix médian du segment · 50 % des prix entre {fmtNight(p.p25)} et {fmtNight(p.p75)}\n
\n
\n {badge &&
{badge.txt}
}\n
\n \n
\n Segment : {p.segment}\n {p.n.toLocaleString(\"fr-CA\")} hébergements comparables\n Moins cher que {100 - p.percentile} % du segment\n
\n

\n Comparaison indicative des tarifs affichés (« à partir de ») par les\n sources pour des hébergements du même type dans la même région — les\n prix réels varient selon les dates et la durée du séjour.\n

\n
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\n

Analyse du prix Lou-Ka

\n
\n
\n
{fmtNight(p.median)} / nuit
\n
\n Prix médian du segment · 50 % des prix entre {fmtNight(p.p25)} et {fmtNight(p.p75)}\n
\n
\n {badge &&
{badge.txt}
}\n
\n \n
\n Segment : {p.segment}\n {p.n.toLocaleString(\"fr-CA\")} hébergements comparables\n Moins cher que {100 - p.percentile} % du segment\n
\n

\n Comparaison indicative des tarifs affichés (« à partir de ») par les\n sources pour des hébergements du même type dans la même région — les\n prix réels varient selon les dates et la durée du séjour.\n

\n
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-----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtListing, ctSourceName, fetchCtListing, fetchCtSources, fmtNight,\n registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
\n );\n}\n","structuredPatch":[{"oldStart":8,"oldLines":10,"newStart":8,"newLines":12,"lines":[" import { lazy, Suspense, useEffect, useRef, useState } from \"react\";"," import { Link, useParams } from \"react-router-dom\";"," import {","- CtListing, ctSourceName, fetchCtListing, fetchCtSources, fmtNight,","- registerCtSourceNames,","+ CtContext, CtListing, ctSourceName, fetchCtContext, fetchCtListing,","+ fetchCtSources, fmtNight, registerCtSourceNames,"," } from \"../ctapi\";"," import SmartImg from \"../components/SmartImg\";","+import CtListingCard from \"../components/CtListingCard\";","+import CtPriceAnalysis, { ctDealBadge } from \"../components/CtPriceAnalysis\";"," import { IcoAlert } from \"../components/Icons\";"," "," const CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));"]}],"userModified":false,"replaceAll":false}}} 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setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":416,"cache_read_input_tokens":100118,"cache_creation":{"ephemeral_5m_input_tokens":416,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"45ad8d17-c599-4752-982f-f7f6dc8ce584"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UGiyzRm9S1uget6tPQ612V","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx has been updated 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\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
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\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

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\n
Plateforme
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Prix affiché
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Enregistrement CITQ
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Synchronisé
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\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
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\n
\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
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\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [ctx, setCtx] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n setCtx(null);\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
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Prix affiché
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\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n
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\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
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Description

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La source ne fournit pas de description pour cet hébergement.

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Commodités

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Détails pratiques

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Emplacement

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z-index: 1; }\na { text-decoration: none; }\nbutton { font-family: inherit; }\n\n.mono { font-family: var(--font-mono); }\n\n/* Garde-fou : jamais de défilement horizontal de la page, même transitoire\n pendant le chargement (bandeau défilant, polices) — clip ne casse pas\n position: sticky, contrairement à hidden. */\nhtml, body { overflow-x: clip; }\n\n/* ================= Header ================= */\n.header {\n position: sticky; top: 0; z-index: var(--z-header, 500);\n background: var(--paper);\n border-bottom: 1px solid var(--line);\n}\n.header-inner { display: flex; align-items: center; gap: 20px; height: 64px; }\n.brand {\n font-family: var(--font-display); font-weight: 700; font-size: 25px;\n letter-spacing: -0.03em; display: flex; align-items: center; line-height: 1;\n color: var(--navy);\n}\n.brand .logo-ico { margin-right: 12px; flex: none; } /* ≈ 40 % de la largeur de l'icône */\n.brand .ka { color: var(--orange); }\n.brand-tag {\n font-size: 11px; font-weight: 500; color: var(--ink-3);\n letter-spacing: 0.02em; margin-left: 12px;\n}\n@media (max-width: 900px) { .brand-tag { display: none; } }\n.nav { margin-left: auto; display: flex; gap: 4px; }\n.nav a {\n padding: 9px 16px; border-radius: var(--r-pill); font-weight: 600; font-size: 14px;\n color: var(--navy); transition: all 0.15s ease; min-height: 40px;\n display: inline-flex; align-items: center;\n}\n.nav a:hover { color: var(--orange); background: var(--orange-soft); }\n.nav a.active { background: var(--navy); color: var(--white); }\n\n/* ================= Ticker ================= */\n.ticker {\n background: var(--navy); color: rgba(255, 255, 255, 0.85); overflow: hidden;\n font-size: 11.5px; font-weight: 500; letter-spacing: 0.08em;\n text-transform: uppercase; padding: 7px 0; white-space: nowrap;\n}\n.ticker-track { display: inline-flex; gap: 0; animation: ticker 40s linear infinite; will-change: transform; }\n.ticker span { padding: 0 26px; position: relative; }\n.ticker span::after { content: \"◆\"; position: absolute; right: -6px; color: var(--orange); opacity: 0.8; font-size: 8px; top: 3px; }\n@keyframes ticker { from { transform: translateX(0); } to { transform: translateX(-50%); } }\n@media (prefers-reduced-motion: reduce) {\n .ticker-track { animation: none; }\n * { transition-duration: 0.01ms !important; }\n}\n\n/* ================= Hero ================= */\n.hero { padding: 58px 0 22px; }\n@media (max-width: 640px) { .hero { padding: 34px 0 14px; } }\n.hero h1 {\n font-size: clamp(36px, 5.4vw, 56px); font-weight: 700; line-height: 1.06;\n letter-spacing: -0.03em; max-width: 900px; margin-top: 14px; color: var(--navy);\n}\n.hero h1 .outline { color: var(--navy); }\n.hero p.lede { color: var(--ink-2); font-size: 17px; max-width: 640px; margin: 18px 0 0; }\n.stat-row { display: flex; flex-wrap: wrap; gap: 10px; margin-top: 26px; }\n.stat-chip {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-pill);\n padding: 8px 16px; font-size: 12.5px; font-weight: 500;\n color: var(--ink-2); display: flex; gap: 8px; align-items: center;\n box-shadow: var(--shadow-flat);\n}\n.stat-chip b { color: var(--navy); font-weight: 700; }\n.stat-chip .pulse {\n width: 8px; height: 8px; border-radius: 50%; background: var(--orange);\n box-shadow: 0 0 0 4px var(--orange-soft); animation: pulse 2.4s ease infinite;\n}\n@keyframes pulse { 50% { box-shadow: 0 0 0 7px rgba(255, 106, 0, 0.18); } }\n\n/* ================= Rangée d'avantages ================= */\n.benefits {\n display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));\n gap: 14px; margin-top: 30px;\n}\n.benefit { display: flex; align-items: center; gap: 12px; }\n.benefit-ico {\n width: 42px; height: 42px; border-radius: var(--r-pill); flex: none;\n display: flex; align-items: center; justify-content: center;\n background: var(--orange-soft); color: var(--orange);\n}\n.benefit-ico.blue { background: var(--blue-soft); color: var(--blue); }\n.benefit-label {\n font-size: 11.5px; font-weight: 700; text-transform: uppercase;\n letter-spacing: 0.08em; color: var(--navy);\n}\n@media (max-width: 640px) {\n .benefits { grid-template-columns: 1fr 1fr; gap: 12px; }\n}\n\n/* ================= Filter bar ================= */\n.filterbar {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-card);\n box-shadow: var(--shadow-off-soft); padding: 14px; margin: 30px 0 6px;\n display: flex; flex-direction: column; gap: 0; min-width: 0;\n}\n\n/* — rangée principale — */\n.f-primary { display: flex; gap: 10px; align-items: stretch; flex-wrap: wrap; min-width: 0; }\n.f-search {\n flex: 1 1 220px; min-width: 0; max-width: 440px; align-self: center;\n display: flex; align-items: center; gap: 8px;\n border: 1px solid transparent; border-radius: var(--r-pill); background: var(--grey);\n padding: 0 15px; min-height: 42px; color: var(--ink-2);\n transition: box-shadow 0.15s ease, border-color 0.15s ease, background 0.15s ease;\n}\n.f-search:focus-within {\n background: var(--white); border-color: var(--blue);\n box-shadow: 0 0 0 3px rgba(28, 92, 65, 0.15);\n}\n.f-search input {\n border: none; background: none; outline: none; flex: 1; min-width: 0;\n font-size: 14px; color: var(--ink); font-family: inherit;\n}\n.f-clear {\n border: none; background: var(--line); color: var(--ink-2); border-radius: 50%;\n width: 20px; height: 20px; font-size: 10px; cursor: pointer; flex: none;\n display: grid; place-items: center;\n}\n.f-ctl {\n flex: 0 1 auto; min-width: 0; display: flex; flex-direction: column; justify-content: center;\n gap: 2px; border: 1.5px solid var(--ink); border-radius: 14px; background: var(--surface);\n padding: 7px 14px 6px; min-height: 52px; cursor: pointer;\n transition: box-shadow 0.15s ease, border-color 0.15s ease;\n}\n.f-ctl:focus-within { border-color: var(--blue); box-shadow: 0 0 0 3px rgba(28, 92, 65, 0.15); }\n.f-ctl > span {\n font-size: 9.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3);\n}\n.f-ctl select {\n border: none; background: transparent; outline: none; font-family: var(--font-display);\n font-weight: 700; font-size: 14.5px; color: var(--navy); cursor: pointer;\n appearance: none; -webkit-appearance: none; padding-right: 16px; min-width: 0; max-width: 170px;\n text-overflow: ellipsis;\n background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='9' height='5'%3E%3Cpath d='M0 0l4.5 5L9 0z' fill='%23141814'/%3E%3C/svg%3E\");\n background-repeat: no-repeat; background-position: right center;\n}\n.range-pair { display: flex; align-items: center; gap: 4px; }\n.range-pair select { max-width: 86px; }\n.range-sep { color: var(--ink-3); font-size: 11px; }\n.f-more {\n flex: none; align-self: stretch; border: 1.5px solid var(--ink); border-radius: var(--r-pill);\n background: var(--surface); color: var(--navy); padding: 0 20px; cursor: pointer;\n font-family: var(--font-display); font-weight: 600; font-size: 14px; min-height: 52px;\n transition: all 0.13s ease;\n}\n.f-more:hover { background: var(--blue-soft); border-color: var(--blue); color: var(--blue); }\n.f-more.on { background: var(--blue); border-color: var(--blue); color: var(--white); }\n\n/* — panneau avancé — */\n.f-adv {\n display: grid; grid-template-columns: repeat(auto-fit, minmax(230px, 1fr)); gap: 16px 22px;\n border-top: 1px solid var(--line); margin-top: 14px; padding-top: 14px; min-width: 0;\n animation: adv-in 0.18s ease;\n}\n@keyframes adv-in { from { opacity: 0; transform: translateY(-4px); } to { opacity: 1; transform: none; } }\n.f-group { display: flex; flex-direction: column; gap: 7px; min-width: 0; }\n.f-group > label {\n font-size: 10.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3);\n}\n.f-group-end { justify-content: flex-end; }\n.f-group .btn:disabled { opacity: 0.4; cursor: default; }\n.f-native {\n border: 1.5px solid var(--ink); background: var(--grey); border-radius: var(--r-ctl);\n padding: 10px 30px 10px 14px; font-size: 14px; color: var(--ink); outline: none;\n font-family: inherit; min-height: 42px; width: 100%; min-width: 0;\n appearance: none; -webkit-appearance: none;\n background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n background-repeat: no-repeat; background-position: right 12px center;\n}\n.f-native:focus { border-color: var(--blue); box-shadow: 0 0 0 3px rgba(28, 92, 65, 0.15); background: var(--white); }\n\n/* segments (pilules soudées) */\n.seg { display: inline-flex; flex-wrap: wrap; row-gap: 6px; }\n.seg button {\n border: 1.5px solid var(--ink); background: var(--surface); color: var(--ink-2);\n padding: 8px 14px; font-family: var(--font-display); font-weight: 600; font-size: 13px;\n cursor: pointer; margin-left: -1px; white-space: nowrap; min-height: 38px;\n transition: all 0.12s ease;\n}\n.seg button:first-child { border-radius: var(--r-pill) 0 0 var(--r-pill); margin-left: 0; padding-left: 16px; }\n.seg button:last-child { border-radius: 0 var(--r-pill) var(--r-pill) 0; padding-right: 16px; }\n.seg button:hover { background: var(--blue-soft); color: var(--blue); }\n.seg button.on { background: var(--blue); border-color: var(--blue); color: var(--white); position: relative; z-index: 1; }\n\n/* pastilles de filtres actifs */\n.pills { display: flex; flex-wrap: wrap; gap: 8px; margin: 10px 0 2px; }\n.pill {\n display: inline-flex; align-items: center; gap: 7px;\n border: 1px solid rgba(28, 92, 65, 0.3); background: var(--blue-soft); color: var(--blue);\n border-radius: var(--r-pill); padding: 6px 14px; font-size: 12.5px; font-weight: 600;\n cursor: pointer; transition: all 0.13s ease;\n}\n.pill:hover { background: var(--blue); color: var(--white); }\n.pill-x { font-size: 10px; opacity: 0.65; }\n.pill-clear { background: var(--surface); border-color: var(--danger); color: var(--danger); }\n.pill-clear:hover { background: var(--danger); color: #fff; }\n.chip-sep { width: 1px; align-self: stretch; background: var(--line); margin: 4px 4px; flex: none; }\n.link-btn {\n background: none; border: none; padding: 0; color: var(--blue); font: inherit;\n text-decoration: underline; cursor: pointer;\n}\n.field { display: flex; flex-direction: column; gap: 5px; }\n.field label {\n font-size: 10.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3); padding-left: 2px;\n}\n.field input, .field select {\n border: 1.5px solid var(--ink); background: var(--grey); border-radius: var(--r-ctl);\n padding: 11px 14px; font-size: 15px; color: var(--ink); outline: none; font-family: inherit;\n transition: border-color 0.15s ease, box-shadow 0.15s ease, background 0.15s ease; min-height: 44px;\n appearance: none; -webkit-appearance: none;\n}\n.field select {\n background-image: url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='10' height='6'%3E%3Cpath d='M0 0l5 6 5-6z' fill='%23141814'/%3E%3C/svg%3E\");\n background-repeat: no-repeat; background-position: right 12px center; padding-right: 30px;\n}\n.field input:focus, .field select:focus {\n border-color: var(--blue); background: var(--white);\n box-shadow: 0 0 0 3px rgba(28, 92, 65, 0.15);\n}\n/* .btn / .btn-primary / .btn-ghost : fournis par tokens.css (ka-ui). */\n\n/* ================= Chips ================= */\n.chips { display: flex; gap: 8px; margin: 16px 0 4px; overflow-x: auto; padding-bottom: 6px; scrollbar-width: none; }\n.chips::-webkit-scrollbar { display: none; }\n.chip {\n border: 1.5px solid var(--ink); background: var(--surface); color: var(--ink);\n border-radius: var(--r-pill); padding: 8px 18px; font-size: 13px; font-weight: 700; cursor: pointer;\n font-family: var(--font-display); white-space: nowrap; min-height: 40px;\n transition: transform 0.13s, box-shadow 0.13s, background 0.13s, color 0.13s;\n}\n.chip:hover { transform: translate(-1px, -1px); box-shadow: var(--shadow-off-mid); }\n.chip.on { background: var(--ink); border-color: var(--ink); color: var(--accent); box-shadow: 3px 3px 0 var(--accent); }\n\n/* ================= Results ================= */\n.results-head { display: flex; align-items: baseline; gap: 14px; margin: 28px 0 18px; }\n.results-head h2 { font-size: 22px; letter-spacing: -0.02em; color: var(--navy); }\n.results-head span { color: var(--ink-3); font-size: 12.5px; font-weight: 500; }\n.grid {\n display: grid; grid-template-columns: repeat(auto-fill, minmax(290px, 1fr));\n gap: 22px; padding-bottom: 70px;\n}\n@media (max-width: 640px) { .grid { grid-template-columns: 1fr; gap: 16px; padding-bottom: 48px; } }\n\n.card {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-card);\n overflow: hidden; display: flex; flex-direction: column; box-shadow: var(--shadow-flat);\n transition: transform 0.16s ease, box-shadow 0.16s ease;\n}\n.card:hover { transform: translateY(-4px); box-shadow: var(--shadow-off); }\n.card:focus-visible { outline: 3px solid rgba(28, 92, 65, 0.4); outline-offset: 2px; }\n.card-img { position: relative; aspect-ratio: 16/10.5; background: var(--grey); overflow: hidden; }\n.card-img img { width: 100%; height: 100%; object-fit: cover; transition: transform 0.4s ease; }\n.card:hover .card-img img { transform: scale(1.05); }\n.card-img .noimg { display: flex; align-items: center; justify-content: center; height: 100%; color: var(--ink-3); font-size: 34px; }\n.badge {\n position: absolute; top: 12px; left: 12px; border-radius: var(--r-pill); padding: 4px 12px;\n font-size: 11px; font-weight: 700; letter-spacing: 0.04em;\n background: rgba(255, 255, 255, 0.94); color: var(--navy);\n backdrop-filter: blur(6px); -webkit-backdrop-filter: blur(6px);\n}\n.badge.type { background: var(--orange); color: var(--white); }\n.badge.right { left: auto; right: 12px; background: rgba(255, 255, 255, 0.92); }\n.card-body { padding: 16px 18px 16px; display: flex; flex-direction: column; gap: 6px; flex: 1; }\n.card-price { font-family: var(--font-display); font-weight: 700; font-size: 21px; letter-spacing: -0.02em; color: var(--navy); }\n.card-price small { font-weight: 500; color: var(--ink-3); font-size: 11.5px; }\n.card-title { font-weight: 600; font-size: 14.5px; color: var(--ink); }\n.card-meta { color: var(--ink-3); font-size: 12.5px; display: flex; gap: 7px; flex-wrap: wrap; align-items: center; }\n.card-meta .sep { width: 4px; height: 4px; background: var(--orange); border-radius: 50%; }\n.card-foot { margin-top: auto; padding-top: 11px; border-top: 1px solid var(--line); display: flex; justify-content: space-between; align-items: center; gap: 8px; }\n.source-tag {\n font-size: 10px; font-weight: 700; text-transform: uppercase;\n letter-spacing: 0.06em; color: var(--blue); background: var(--blue-soft);\n border-radius: var(--r-pill); padding: 3px 10px;\n overflow: hidden; text-overflow: ellipsis; white-space: nowrap; max-width: 60%;\n}\n.avail { font-size: 11.5px; color: var(--ink-2); font-weight: 500; text-align: right; }\n\n/* ================= Skeletons ================= */\n@keyframes shimmer { 0% { background-position: -400px 0; } 100% { background-position: 400px 0; } }\n.skel { border-radius: var(--r-card); border: 1.5px solid var(--ink); overflow: hidden; background: var(--surface); }\n.skel .sk-img, .skel .sk-line {\n background: linear-gradient(90deg, #ececef 25%, #f7f7f9 50%, #ececef 75%);\n background-size: 800px 100%; animation: shimmer 1.4s infinite linear;\n}\n.skel .sk-img { aspect-ratio: 16/10.5; }\n.skel .sk-line { height: 14px; border-radius: 4px; margin: 12px 16px; }\n.skel .sk-line.short { width: 45%; }\n\n/* ================= Empty / error ================= */\n.notice { text-align: center; padding: 72px 24px; color: var(--ink-2); }\n.notice .big { font-size: 44px; margin-bottom: 10px; }\n.notice h2 { color: var(--navy); }\n\n/* ================= Detail page ================= */\n.detail { padding: 30px 0 90px; }\n.crumbs {\n font-size: 11.5px; font-weight: 600; letter-spacing: 0.06em; text-transform: uppercase;\n color: var(--ink-3); margin-bottom: 20px; display: flex; gap: 8px; align-items: center; flex-wrap: wrap;\n}\n.crumbs a { border-bottom: 1.5px solid transparent; }\n.crumbs a:hover { color: var(--blue); border-color: var(--blue); }\n.detail-grid { display: grid; grid-template-columns: 1.6fr 1fr; gap: 30px; align-items: start; }\n@media (max-width: 900px) { .detail-grid { grid-template-columns: 1fr; } }\n/* les enfants de grille ont min-width:auto par défaut : un contenu large\n (grille du quartier) déborderait de l'écran mobile sans ceci */\n.detail-grid > * { min-width: 0; }\n\n.gallery { display: flex; flex-direction: column; gap: 10px; }\n.gallery-main {\n border-radius: var(--r-card); overflow: hidden; border: 1.5px solid var(--ink);\n aspect-ratio: 16/10; background: var(--grey); cursor: zoom-in; box-shadow: var(--shadow-off-soft);\n}\n.gallery-main img { width: 100%; height: 100%; object-fit: cover; }\n.thumbs { display: grid; grid-template-columns: repeat(auto-fill, minmax(84px, 1fr)); gap: 8px; }\n.thumbs button {\n border: 2px solid var(--line); border-radius: 12px; overflow: hidden; padding: 0; cursor: pointer;\n aspect-ratio: 4/3; background: var(--grey); transition: border-color 0.12s ease, transform 0.12s ease;\n}\n.thumbs button:hover { transform: translateY(-2px); }\n.thumbs button.on { border-color: var(--orange); }\n.thumbs img { width: 100%; height: 100%; object-fit: cover; }\n\n.panel {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-card);\n box-shadow: var(--shadow-off-soft); padding: 26px; position: sticky; top: 120px;\n}\n@media (max-width: 900px) { .panel { position: static; } }\n.panel .price { font-family: var(--font-display); font-size: 34px; font-weight: 700; letter-spacing: -0.03em; color: var(--navy); }\n.panel .price small { font-size: 12.5px; color: var(--ink-3); font-weight: 500; }\n.panel h1 { font-size: 22px; margin: 8px 0 2px; }\n.panel .loc { color: var(--ink-2); font-size: 14px; }\n.kv { display: grid; grid-template-columns: 1fr 1fr; gap: 10px; margin: 20px 0; }\n@media (max-width: 380px) { .kv { grid-template-columns: 1fr; } }\n.kv .cell { background: var(--grey); border-radius: var(--r-ctl); padding: 10px 14px; }\n.kv .cell .k { font-size: 9.5px; text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3); font-weight: 700; }\n.kv .cell .v { font-weight: 700; font-size: 14.5px; margin-top: 2px; font-family: var(--font-display); color: var(--navy); }\n/* .klabel : fourni par tokens.css (ka-ui). */\n.panel .klabel, .f-bloc .klabel { display: block; margin-bottom: 8px; }\n.amenity-row { display: flex; flex-wrap: wrap; gap: 7px; margin: 0 0 20px; }\n.amenity {\n background: var(--blue-soft); color: var(--blue); font-size: 12px; font-weight: 600;\n border: 1px solid rgba(28, 92, 65, 0.25); border-radius: var(--r-pill); padding: 5px 13px;\n}\n.cta {\n display: block; text-align: center; background: var(--orange); color: var(--white);\n font-weight: 600; font-family: var(--font-display); border-radius: var(--r-pill);\n padding: 15px; min-height: 48px;\n box-shadow: 0 8px 22px rgba(255, 106, 0, 0.34); transition: all 0.14s ease;\n}\n.cta:hover { background: var(--orange-deep); }\n.cta:active { transform: translateY(1px); }\n.panel .fine { font-size: 11.5px; color: var(--ink-3); margin-top: 14px; text-align: center; }\n\n/* ================= Lightbox ================= */\n.lightbox {\n position: fixed; inset: 0; background: rgba(20, 24, 20, 0.94); z-index: var(--z-modal, 900);\n display: flex; align-items: center; justify-content: center; cursor: zoom-out;\n padding: max(16px, env(safe-area-inset-top)) 16px;\n}\n.lightbox img { max-width: 94vw; max-height: 90vh; border-radius: 12px; }\n\n/* Lightbox v2 : balayage entre photos (scroll-snap) + pincement pour zoomer */\n.lightbox-v2 { padding: 0; cursor: default; display: block; }\n.lightbox-track {\n display: flex; overflow-x: auto; scroll-snap-type: x mandatory; height: 100%;\n -webkit-overflow-scrolling: touch; scrollbar-width: none;\n touch-action: pan-x pinch-zoom;\n}\n.lightbox-track::-webkit-scrollbar { display: none; }\n.lightbox-cell {\n flex: 0 0 100%; width: 100%; height: 100%; scroll-snap-align: center;\n display: flex; align-items: center; justify-content: center;\n padding: max(52px, env(safe-area-inset-top)) 10px max(24px, env(safe-area-inset-bottom));\n overflow: hidden;\n}\n.lightbox-cell img {\n max-width: 100%; max-height: 100%; border-radius: 10px;\n user-select: none; -webkit-user-drag: none; will-change: transform;\n}\n.lightbox-close {\n position: fixed; top: max(12px, env(safe-area-inset-top)); right: 12px; z-index: 3;\n width: 44px; height: 44px; border-radius: 50%; border: 1.5px solid rgba(255,255,255,0.4);\n background: rgba(20, 24, 20, 0.6); color: #fff; font-size: 18px; cursor: pointer;\n display: flex; align-items: center; justify-content: center;\n backdrop-filter: blur(6px); -webkit-backdrop-filter: blur(6px);\n}\n.lightbox-count {\n position: fixed; left: 50%; transform: translateX(-50%); right: auto;\n top: max(22px, env(safe-area-inset-top)); bottom: auto; z-index: 3;\n}\n.lightbox-v2 .carousel-nav { position: fixed; z-index: 3; }\n\n/* visuel de secours (SmartImg) directement sous .carousel (galerie vide) */\n.carousel > img { display: block; width: 100%; aspect-ratio: 16/11; object-fit: cover; }\n\n/* ================= Sources page ================= */\n.sources { padding: 44px 0 90px; }\n.sources h1 { font-size: clamp(28px, 4vw, 40px); margin: 10px 0 6px; color: var(--navy); }\n.sources .sub { color: var(--ink-2); margin-bottom: 30px; max-width: 700px; }\n.src-wrap { overflow-x: auto; border: 1.5px solid var(--ink); border-radius: var(--r-card); box-shadow: var(--shadow-off-soft); background: var(--surface); }\n.src-table { width: 100%; border-collapse: separate; border-spacing: 0; min-width: 720px; }\n.src-table th {\n text-align: left; font-size: 10.5px; text-transform: uppercase;\n letter-spacing: 0.1em; color: var(--ink-3); padding: 14px 18px;\n border-bottom: 1px solid var(--line-strong); background: var(--grey);\n}\n.src-table td { padding: 13px 18px; border-bottom: 1px solid var(--line); font-size: 14px; vertical-align: top; }\n.src-table tr:last-child td { border-bottom: none; }\n.src-table tr:hover td { background: var(--navy-soft); }\n.src-table a { color: var(--blue); font-weight: 600; border-bottom: 1.5px solid rgba(28, 92, 65, 0.35); }\n.pill { display: inline-block; border-radius: var(--r-pill); padding: 3px 10px; font-size: 10.5px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em; }\n.pill.ok { background: var(--blue-soft); color: var(--blue); }\n.pill.todo { background: var(--orange-soft); color: var(--orange-deep); }\n.count-pill { font-weight: 700; font-family: var(--font-display); font-size: 16px; color: var(--navy); }\n\n/* ================= Page Statistiques ================= */\n.stats-page { padding: 44px 0 90px; }\n.stats-title { font-size: clamp(30px, 4.6vw, 46px); margin: 10px 0 6px; color: var(--navy); }\n.stats-page .sub { color: var(--ink-2); max-width: 640px; margin-bottom: 30px; }\n\n.tiles { display: grid; grid-template-columns: repeat(auto-fit, minmax(160px, 1fr)); gap: 14px; margin-bottom: 30px; }\n.tile {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-card);\n padding: 18px 20px; box-shadow: var(--shadow-flat);\n}\n.tile-v { font-family: var(--font-display); font-weight: 700; font-size: clamp(24px, 3vw, 34px); letter-spacing: -0.03em; line-height: 1.05; color: var(--navy); }\n.tile-k { font-size: 10.5px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3); margin-top: 6px; }\n.hero-tile { background: var(--navy); color: var(--white); border-color: var(--navy); }\n.hero-tile .tile-v { color: var(--white); }\n.hero-tile .tile-k { color: rgba(255, 255, 255, 0.6); }\n\n.viz-card {\n background: var(--surface); border: 1.5px solid var(--ink); border-radius: var(--r-card);\n box-shadow: var(--shadow-off-soft); padding: 26px 28px 20px; margin-bottom: 22px;\n}\n.viz-card h2 { font-size: 19px; letter-spacing: -0.01em; color: var(--navy); }\n.viz-sub { font-size: 11.5px; font-weight: 600; letter-spacing: 0.06em; text-transform: uppercase; color: var(--ink-3); margin: 4px 0 20px; }\n.viz-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 22px; }\n@media (max-width: 900px) { .viz-grid { grid-template-columns: 1fr; } }\n\n/* Histogramme (mono-série, bleu vif) */\n.histo { display: flex; align-items: stretch; gap: 2px; height: 240px; }\n.histo-col { flex: 1; display: flex; flex-direction: column; min-width: 0; cursor: default; }\n.histo-bar-zone { flex: 1; display: flex; align-items: flex-end; border-bottom: 1px solid var(--line-strong); }\n.histo-bar {\n width: 100%; background: var(--blue); border-radius: 6px 6px 0 0;\n min-height: 2px; transition: background 0.12s ease;\n}\n.histo-col:hover .histo-bar { background: var(--orange); }\n.histo-x { font-size: 9.5px; color: var(--ink-3); text-align: left; height: 18px; padding-top: 5px; overflow: visible; white-space: nowrap; }\n\n/* Barres horizontales (mono-série) */\n.hbars { display: flex; flex-direction: column; gap: 7px; }\n.hbar-row {\n display: grid; grid-template-columns: minmax(96px, 170px) 1fr auto;\n gap: 12px; align-items: center; min-height: 26px; cursor: default;\n}\n.hbar-label { font-size: 13px; font-weight: 600; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }\n.hbar-label a { border-bottom: 1.5px solid rgba(28, 92, 65, 0.35); }\n.hbar-label a:hover { color: var(--blue); }\n.hbar-track { background: var(--grey); border-radius: var(--r-pill); height: 18px; overflow: hidden; }\n.hbar-fill {\n display: block; height: 100%; background: var(--blue); border-radius: var(--r-pill);\n min-width: 2px; transition: background 0.12s ease;\n}\n.hbar-row:hover .hbar-fill { background: var(--orange); }\n.hbar-value { font-size: 11.5px; font-weight: 700; white-space: nowrap; color: var(--navy); }\n.hbar-value em { font-style: normal; font-weight: 500; color: var(--ink-3); }\n@media (max-width: 640px) {\n .hbar-row { grid-template-columns: minmax(80px, 110px) 1fr auto; gap: 8px; }\n .hbar-value em { display: none; }\n .viz-card { padding: 20px 16px 14px; }\n .histo { height: 170px; }\n}\n\n/* Infobulle */\n.viz-tip {\n position: fixed; z-index: var(--z-toast, 950); pointer-events: none; max-width: 180px;\n background: var(--navy); color: var(--white); border-radius: 12px;\n padding: 9px 12px; font-size: 12px; line-height: 1.5;\n box-shadow: 0 8px 24px rgba(20, 24, 20, 0.35);\n}\n.viz-tip-title { font-family: var(--font-display); font-weight: 700; color: var(--orange); margin-bottom: 2px; }\n\n/* Vue tableau repliable (accessibilité / relief) */\n.viz-table { margin-top: 16px; border-top: 1px solid var(--line); padding-top: 10px; }\n.viz-table summary {\n cursor: pointer; font-size: 11.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.08em; color: var(--blue);\n}\n.viz-table table { width: 100%; border-collapse: collapse; margin-top: 10px; font-size: 13px; }\n.viz-table th { text-align: left; font-size: 10.5px; text-transform: uppercase; letter-spacing: 0.08em; color: var(--ink-3); padding: 6px 10px; border-bottom: 1px solid var(--line-strong); }\n.viz-table td { padding: 6px 10px; border-bottom: 1px solid var(--line); }\n\n.stats-foot { font-size: 11.5px; color: var(--ink-3); letter-spacing: 0.02em; margin-top: 6px; }\n\n/* ================= Mobile : feuille de filtres + FAB ================= */\n.sheet-head { display: none; }\n.sheet-apply { display: none; }\n.sheet-backdrop { display: none; }\n.fab { display: none; }\n\n@media (max-width: 640px) {\n /* En-tête compact */\n .header-inner { height: 56px; }\n .brand { font-size: 21px; }\n .nav a { padding: 8px 13px; font-size: 13.5px; }\n .ticker { font-size: 10.5px; padding: 6px 0; }\n\n /* Héro resserré + stats en rangée défilante */\n .hero h1 { font-size: clamp(30px, 8.6vw, 42px); }\n .hero p.lede { font-size: 15px; }\n .stat-row { flex-wrap: nowrap; overflow-x: auto; scrollbar-width: none; padding-bottom: 6px; margin-right: -16px; padding-right: 16px; }\n .stat-row::-webkit-scrollbar { display: none; }\n .stat-chip { flex: 0 0 auto; white-space: nowrap; }\n\n /* La barre de filtres devient une feuille coulissante (bottom sheet) */\n .filterbar { display: none; }\n .filterbar.open .f-primary { flex-direction: column; }\n .filterbar.open .f-search { align-self: stretch; max-width: none; min-height: 46px; }\n .filterbar.open .f-search input { font-size: 16px; } /* anti-zoom iOS */\n .filterbar.open .f-ctl select { max-width: none; width: 100%; }\n .filterbar.open .f-more { display: none; }\n .filterbar.open .f-adv { margin-top: 4px; }\n .filterbar.open {\n display: flex; flex-direction: column; gap: 12px;\n position: fixed; left: 0; right: 0; bottom: 0; z-index: var(--z-modal, 900);\n margin: 0; border-radius: 24px 24px 0 0; border: none;\n max-height: 82dvh; overflow-y: auto; -webkit-overflow-scrolling: touch;\n padding: 16px 18px calc(18px + env(safe-area-inset-bottom));\n box-shadow: 0 -16px 48px rgba(20, 24, 20, 0.28);\n animation: sheet-up 0.22s ease;\n }\n @keyframes sheet-up { from { transform: translateY(30%); opacity: 0.4; } to { transform: none; opacity: 1; } }\n .filterbar.open .sheet-head {\n display: flex; justify-content: space-between; align-items: center;\n font-family: var(--font-display); font-weight: 700; font-size: 17px;\n letter-spacing: -0.01em; color: var(--navy);\n position: sticky; top: -16px; background: var(--surface); padding: 6px 0 8px;\n border-bottom: 1px solid var(--line); margin-bottom: 2px; z-index: 1;\n }\n .sheet-close {\n border: 1.5px solid var(--ink); background: var(--surface); border-radius: 50%;\n width: 36px; height: 36px; font-size: 15px; cursor: pointer; line-height: 1; color: var(--navy);\n }\n .filterbar.open .sheet-apply { display: block; width: 100%; }\n .sheet-backdrop {\n display: block; position: fixed; inset: 0; z-index: var(--z-overlay, 800);\n background: rgba(20, 24, 20, 0.45); backdrop-filter: blur(2px);\n }\n\n /* Bouton flottant */\n .fab {\n display: flex; align-items: center; gap: 6px;\n position: fixed; left: 50%; transform: translateX(-50%);\n bottom: calc(74px + env(safe-area-inset-bottom) + var(--consent-h, 0px)); z-index: 80;\n background: var(--orange); color: var(--white); border: none;\n border-radius: var(--r-pill); padding: 13px 24px; font-family: var(--font-display);\n font-weight: 600; font-size: 15px; cursor: pointer;\n box-shadow: 0 10px 28px rgba(255, 106, 0, 0.4);\n }\n .fab:active { transform: translateX(-50%) scale(0.97); }\n\n /* Fiche logement : vignettes en bande défilante + panneau non collant */\n .thumbs { display: flex; overflow-x: auto; scrollbar-width: none; padding-bottom: 4px; }\n .thumbs::-webkit-scrollbar { display: none; }\n .thumbs button { flex: 0 0 96px; }\n .detail { padding-top: 20px; }\n .panel { padding: 20px; }\n .panel .price { font-size: 28px; }\n .results-head { margin-top: 20px; }\n .chips { margin-right: -16px; padding-right: 16px; }\n .notice { padding: 48px 16px; }\n}\n\n/* ================= Barre de navigation inférieure (mobile) ================= */\n.tabbar { display: none; }\n@media (max-width: 760px) {\n .tabbar {\n display: grid; grid-template-columns: repeat(4, 1fr);\n position: fixed; left: 0; right: 0; bottom: 0; z-index: var(--z-bottombar, 600);\n background: rgba(255, 255, 255, 0.92);\n backdrop-filter: blur(16px); -webkit-backdrop-filter: blur(16px);\n border-top: 1px solid var(--line);\n padding: 6px 4px calc(6px + env(safe-area-inset-bottom));\n }\n .tabbar a {\n display: flex; flex-direction: column; align-items: center; gap: 3px;\n padding: 5px 2px; min-height: 48px; justify-content: center;\n font-size: 10.5px; font-weight: 600; color: var(--ink-3);\n border-radius: var(--r-ctl); transition: color 0.12s ease;\n }\n .tabbar a.active { color: var(--orange); }\n .tabbar a svg { display: block; }\n body { padding-bottom: calc(64px + env(safe-area-inset-bottom)); }\n .footer { padding-bottom: calc(72px + env(safe-area-inset-bottom)); }\n}\n\n/* Anti-zoom iOS : les champs doivent faire >= 16px\n (filet global : tokens.css force aussi 16 px au doigt) */\n@media (max-width: 900px) {\n .field input, .field select,\n .f-search input, .f-native, .f-ctl select, .ms-sort select { font-size: 16px; }\n}\n\n/* Cible tactile ≥44 px du logo (124×30 rendus) : zone étendue invisible */\n@media (pointer: coarse) {\n .brand { position: relative; }\n .brand::after { content: \"\"; position: absolute; inset: -8px; }\n}\n\n/* ================= Footer ================= */\n.footer { background: var(--navy); color: rgba(255, 255, 255, 0.72); margin-top: 20px; padding: 44px 0 max(40px, env(safe-area-inset-bottom)); font-size: 13px; }\n.footer .fbrand { font-family: var(--font-display); font-weight: 700; font-size: 32px; color: var(--white); letter-spacing: -0.03em; margin-bottom: 4px; display: flex; align-items: center; }\n.footer .fbrand .logo-ico { margin-right: 13px; }\n.footer .fbrand .ka { color: var(--orange); }\n.footer .fbaseline { color: rgba(255, 255, 255, 0.65); font-size: 14px; margin-bottom: 16px; }\n.footer .fbaseline .hl { color: var(--orange); font-weight: 600; }\n.footer b { color: var(--white); }\n.footer .frow { display: flex; flex-direction: column; gap: 5px; max-width: 720px; }\n.footer .fmono { font-size: 11.5px; letter-spacing: 0.04em; color: rgba(255, 255, 255, 0.42); margin-top: 18px; }\n\n/* --- Carte interactive (mission 4) --------------------------------------- */\n.results-tools { display: flex; align-items: center; gap: 14px; }\n.view-toggle {\n display: inline-flex; border: 1.5px solid var(--ink);\n border-radius: var(--r-pill); overflow: hidden; background: var(--surface);\n box-shadow: var(--shadow-flat);\n}\n.view-toggle button {\n border: 0; background: transparent; padding: 7px 16px; cursor: pointer;\n font-size: 12.5px; font-weight: 600; color: var(--ink-2);\n}\n/* zone tactile >= 44 px au doigt (coarse pointer = mobile/tablette) */\n@media (pointer: coarse) {\n .view-toggle button { min-height: 44px; padding: 10px 18px; }\n}\n.view-toggle button + button { border-left: 1px solid var(--line); }\n.view-toggle button.on { background: var(--blue); color: var(--white); }\n\n.map-split {\n display: grid; grid-template-columns: minmax(300px, 400px) 1fr; gap: 18px;\n height: calc(100dvh - 170px); min-height: 420px;\n}\n.map-list {\n overflow-y: auto; display: flex; flex-direction: column; gap: 14px;\n padding-right: 4px; scrollbar-width: thin;\n}\n.map-list .card { margin: 0; flex: 0 0 auto; }\n.mapview {\n width: 100%; height: 100%; border: 1.5px solid var(--ink);\n border-radius: var(--r-card); box-shadow: var(--shadow-off-soft);\n overflow: hidden; background: var(--grey);\n}\n.map-loading {\n display: flex; align-items: center; justify-content: center;\n color: var(--ink-3); font-size: 13px;\n}\n\n/* mobile d'abord : carte plein écran, liste masquée (bascule via l'onglet) */\n@media (max-width: 780px) {\n .map-split { grid-template-columns: 1fr; height: calc(100dvh - 210px); }\n .map-list { display: none; }\n .results-tools { width: 100%; justify-content: space-between; }\n}\n\n/* popup MapLibre au style Lou-Ka */\n.maplibregl-popup-content {\n padding: 0; border-radius: var(--r-card); overflow: hidden;\n border: 1.5px solid var(--ink); box-shadow: var(--shadow-off);\n font-family: var(--font-body);\n}\n.maplibregl-popup-close-button {\n font-size: 18px; padding: 2px 8px; color: var(--white); z-index: 2;\n text-shadow: 0 0 4px rgba(20, 24, 20, 0.8);\n}\n.mv-pop img, .mv-noimg { width: 100%; height: 130px; object-fit: cover; }\n.mv-noimg { display: flex; align-items: center; justify-content: center;\n font-size: 34px; background: var(--grey); }\n.mv-pop-body { padding: 10px 12px 12px; }\n.mv-pop-price { font-family: var(--font-display); font-weight: 700; font-size: 18px; color: var(--navy); }\n.mv-pop-price small { font-weight: 400; color: var(--ink-3); font-size: 12px; }\n.mv-pop-title { font-size: 13px; color: var(--ink-2); margin-top: 2px;\n overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }\n.mv-pop-meta { font-size: 11.5px; color: var(--ink-2); margin-top: 6px; }\n.mv-pop-src { font-size: 10px; color: var(--ink-3);\n text-transform: uppercase; letter-spacing: 0.06em; margin-top: 2px; }\n.mv-pop-cta {\n display: block; margin-top: 10px; padding: 9px 10px; text-align: center;\n background: var(--orange); color: var(--white); border-radius: var(--r-pill);\n font-weight: 600; font-size: 13px;\n}\n.mv-pop-cta:hover { background: var(--orange-deep); }\n\n/* --- Commodités de proximité (fiche) -------------------------------------- */\n.poi-list {\n list-style: none; margin: 0; padding: 0;\n display: flex; flex-direction: column; gap: 2px;\n}\n.poi-list li {\n display: flex; align-items: center; gap: 9px;\n padding: 5px 2px; border-bottom: 1px solid var(--line);\n font-size: 13px;\n}\n.poi-list li:last-child { border-bottom: 0; }\n.poi-ico { width: 20px; text-align: center; flex: 0 0 auto; }\n.poi-name { flex: 1; color: var(--ink-2); overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }\n.poi-dist { font-size: 11.5px; color: var(--navy); font-weight: 600; flex: 0 0 auto; }\n\n/* --- Menu déroulant mobile ------------------------------------------------- */\n.menu-btn {\n display: none; position: relative; z-index: 60;\n width: 44px; height: 44px; margin-left: auto;\n border: 1.5px solid var(--ink); border-radius: var(--r-ctl);\n background: var(--surface); cursor: pointer; padding: 0;\n flex-direction: column; align-items: center; justify-content: center; gap: 5px;\n box-shadow: var(--shadow-flat);\n transition: box-shadow 0.15s ease, transform 0.15s ease;\n}\n.menu-btn:active { transform: scale(0.96); }\n.menu-btn span {\n display: block; width: 18px; height: 2px; background: var(--navy);\n border-radius: 2px; transition: transform 0.25s ease, opacity 0.2s ease;\n}\n.menu-btn.open span:nth-child(1) { transform: translateY(7px) rotate(45deg); }\n.menu-btn.open span:nth-child(2) { opacity: 0; }\n.menu-btn.open span:nth-child(3) { transform: translateY(-7px) rotate(-45deg); }\n\n/* KA Nav v2 (2026-08-25) : panneau PLEIN ECRAN fixed inset:0 - visible peu\n importe le scroll (l'ancien dropdown absolute 480px clippait/se coupait). */\n.mobile-menu {\n display: none; position: fixed; inset: 0;\n background: var(--paper);\n padding: 76px 16px calc(24px + env(safe-area-inset-bottom));\n overflow-y: auto; overscroll-behavior: contain;\n}\n.mobile-menu.open { display: block; animation: mm-in 0.16s ease; }\n@keyframes mm-in { from { opacity: 0; transform: translateY(8px); } to { opacity: 1; transform: none; } }\n/* burger masque a l'ouverture : la fermeture passe par le X fixe du panneau */\n.header:has(.mobile-menu.open) .menu-btn { visibility: hidden; }\n/* bouton de fermeture du panneau : fixe en haut a droite du viewport */\n.mm-close {\n position: fixed; top: 10px; right: 14px; z-index: 2;\n width: 44px; height: 44px; display: flex; align-items: center; justify-content: center;\n border: 1.5px solid var(--ink); border-radius: 999px;\n background: var(--ink); color: var(--paper);\n font-size: 17px; font-weight: 700; line-height: 1; cursor: pointer; padding: 0;\n}\n/* verrou du scroll d'arriere-plan quand le menu est ouvert (CSS pur) */\nhtml:has(.mobile-menu.open) { overflow: hidden; }\n/* Le drawer vit DANS le header : quand il est ouvert, le header monte au niveau\n modal pour peindre au-dessus du .mm-backdrop (frère du header, overlay 800). */\n.header:has(.mobile-menu.open) { z-index: var(--z-modal, 900); }\n.mm-link {\n display: flex; align-items: center; gap: 12px;\n padding: 15px 10px; min-height: 52px;\n font-family: var(--font-display); font-weight: 700; font-size: 19px;\n letter-spacing: -0.02em; border-bottom: 1px solid var(--line);\n color: var(--navy);\n opacity: 0; transform: translateY(-8px);\n transition: opacity 0.25s ease, transform 0.25s ease;\n}\n.mobile-menu.open .mm-link { opacity: 1; transform: translateY(0); }\n.mm-link.active { color: var(--orange); }\n.mm-link.active .mm-arrow { opacity: 1; color: var(--orange); }\n.mm-ico { width: 26px; text-align: center; font-size: 17px; }\n.mm-arrow { margin-left: auto; opacity: 0.25; color: var(--orange); transition: opacity 0.15s ease; }\n.mm-link:active { background: var(--orange-soft); border-radius: var(--r-ctl); }\n.mm-foot {\n padding: 12px 10px 4px;\n font-size: 11px; color: var(--ink-3); letter-spacing: 0.02em;\n}\n.mm-backdrop {\n position: fixed; inset: 0; z-index: var(--z-overlay, 800);\n background: rgba(20, 24, 20, 0.35); backdrop-filter: blur(2px);\n}\n@media (max-width: 760px) {\n .menu-btn { display: flex; }\n .nav { display: none; }\n}\n\n/* --- Bandeau de consentement (témoins) ------------------------------------- */\n.cookie-banner {\n position: fixed; left: 12px; right: 12px;\n bottom: calc(12px + env(safe-area-inset-bottom)); z-index: 80;\n animation: cookie-in 0.35s ease;\n}\n@keyframes cookie-in { from { transform: translateY(24px); opacity: 0; } }\n.cookie-inner {\n max-width: 720px; margin: 0 auto; background: var(--surface);\n border: 1.5px solid var(--ink); border-radius: var(--r-card);\n box-shadow: var(--shadow-off); padding: 16px 18px;\n}\n.cookie-text { font-size: 13.5px; color: var(--ink-2); line-height: 1.5; }\n.cookie-text b { color: var(--navy); }\n.cookie-text a { text-decoration: underline; text-underline-offset: 2px; }\n.cookie-options { display: flex; flex-direction: column; gap: 8px; margin-top: 12px; }\n.cookie-opt {\n display: flex; align-items: flex-start; gap: 10px; font-size: 13px;\n color: var(--ink-2); cursor: pointer;\n}\n.cookie-opt input { margin-top: 2px; accent-color: var(--orange); width: 16px; height: 16px; }\n.cookie-actions { display: flex; flex-wrap: wrap; gap: 8px; margin-top: 14px; justify-content: flex-end; }\n@media (max-width: 640px) {\n .cookie-actions { justify-content: stretch; }\n .cookie-actions .btn { flex: 1; text-align: center; justify-content: center; }\n}\n\n/* --- Page confidentialité + lien pied de page ------------------------------- */\n.legal { padding: 48px 0 70px; max-width: 760px; }\n.legal h1 { font-size: clamp(30px, 5vw, 46px); margin: 12px 0 8px; letter-spacing: -0.03em; color: var(--navy); }\n.legal section { margin-top: 26px; }\n.legal h3 { font-size: 18px; margin-bottom: 8px; }\n.legal p, .legal li { color: var(--ink-2); font-size: 14.5px; }\n.legal ul { padding-left: 20px; display: flex; flex-direction: column; gap: 6px; }\n.flink {\n border: 0; background: none; padding: 0; cursor: pointer;\n color: inherit; font: inherit; text-decoration: underline; text-underline-offset: 2px;\n}\n\n/* --- Section « Le quartier » (fiche) --------------------------------------- */\n.quartier { margin-top: 34px; }\n.quartier h2 { font-size: 24px; letter-spacing: -0.02em; color: var(--navy); }\n.q-sub { color: var(--ink-3); font-size: 13px; margin: 4px 0 16px; }\n.q-grid {\n display: grid; grid-template-columns: repeat(3, 1fr); gap: 10px;\n}\n@media (max-width: 640px) { .q-grid { grid-template-columns: repeat(2, 1fr); } }\n.q-cell {\n background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-card); padding: 12px 14px; box-shadow: var(--shadow-flat);\n}\n.q-val { font-family: var(--font-display); font-weight: 700; font-size: 19px; letter-spacing: -0.02em; color: var(--navy); }\n.q-label { font-size: 10.5px; font-weight: 600; color: var(--ink-3);\n text-transform: uppercase; letter-spacing: 0.06em; margin-top: 3px; }\n.q-prox { margin-top: 18px; display: flex; flex-direction: column; gap: 8px; }\n.q-bar { display: flex; align-items: center; gap: 10px; font-size: 13px; }\n.q-bar-label { flex: 0 0 150px; color: var(--ink-2); }\n@media (max-width: 640px) { .q-bar-label { flex-basis: 120px; font-size: 12px; } }\n.q-bar-track {\n flex: 1; height: 10px; background: var(--grey);\n border-radius: var(--r-pill); overflow: hidden;\n}\n.q-bar-fill { display: block; height: 100%; background: var(--blue); border-radius: var(--r-pill); }\n.q-bar-num { flex: 0 0 30px; text-align: right;\n font-size: 11.5px; font-weight: 700; color: var(--navy); }\n.q-badges { display: flex; flex-wrap: wrap; gap: 8px; margin-top: 16px; }\n.q-badge {\n display: inline-flex; align-items: center; gap: 6px;\n border: 1.5px solid var(--ink); border-radius: var(--r-pill);\n padding: 7px 14px; font-size: 12.5px; background: var(--surface);\n}\n.q-badge.cool { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.3); color: var(--blue); }\n.q-badge.hot { background: var(--orange-soft); border-color: rgba(255, 106, 0, 0.35); color: var(--orange-deep); }\n.quartier .fine { margin-top: 10px; }\n\n/* --- Fiche v2 (mobile-first) ------------------------------------------------ */\n/* Ordre DOM = ordre visuel sur TOUS les breakpoints (standard Groupe Ka\n « Ordre des sections — pages détail »). Interdit : `order` / `column-reverse`\n / `display:contents` pour réordonner — les blocs sans `order` retombaient à\n order:0 et passaient devant la galerie sur mobile. Mobile : colonnes\n empilées ; desktop : grid 2 colonnes (logement | synthèse). */\n.fiche { display: flex; flex-direction: column; gap: 22px; }\n.f-col { display: flex; flex-direction: column; gap: 22px; min-width: 0; }\n@media (min-width: 900px) {\n .fiche { display: grid; grid-template-columns: 1.6fr 1fr; gap: 30px; align-items: start; }\n .f-col { gap: 26px; }\n}\n.f-bloc { min-width: 0; }\n.f-bloc h2 { font-size: 21px; letter-spacing: -0.02em; margin-bottom: 10px; color: var(--navy); }\n.f-bloc:empty { display: none; }\n\n/* galerie à balayage natif */\n.carousel { position: relative; border-radius: var(--r-card); overflow: hidden;\n border: 1.5px solid var(--ink); background: var(--grey); box-shadow: var(--shadow-off-soft); }\n.carousel-track {\n display: flex; overflow-x: auto; scroll-snap-type: x mandatory;\n -webkit-overflow-scrolling: touch; scrollbar-width: none; aspect-ratio: 16/11;\n}\n.carousel-track::-webkit-scrollbar { display: none; }\n.carousel-track img {\n flex: 0 0 100%; width: 100%; object-fit: cover; scroll-snap-align: center;\n cursor: zoom-in;\n}\n.carousel-empty { display: flex; align-items: center; justify-content: center;\n aspect-ratio: 16/11; font-size: 48px; }\n.carousel-count {\n position: absolute; right: 12px; bottom: 12px; z-index: 2;\n background: rgba(20, 24, 20, 0.78); color: var(--white);\n font-size: 12px; font-weight: 600;\n padding: 4px 11px; border-radius: var(--r-pill);\n backdrop-filter: blur(6px); -webkit-backdrop-filter: blur(6px);\n}\n.carousel-nav {\n position: absolute; top: 50%; transform: translateY(-50%); z-index: 2;\n width: 44px; height: 44px; border-radius: 50%; border: 1.5px solid var(--ink);\n background: rgba(255, 255, 255, 0.92); color: var(--navy); font-size: 22px; cursor: pointer;\n display: flex; align-items: center; justify-content: center; line-height: 1;\n box-shadow: var(--shadow-flat);\n}\n.carousel-nav.prev { left: 10px; } .carousel-nav.next { right: 10px; }\n@media (max-width: 640px) { .carousel-nav { display: none; } } /* balayage natif */\n\n/* bandeau prix + badge marché */\n.f-hero .price { font-size: clamp(34px, 8vw, 44px); }\n.deal-badge {\n display: inline-flex; align-items: center; gap: 6px; margin: 8px 0 4px;\n border-radius: var(--r-pill); padding: 7px 14px; font-size: 13px; font-weight: 600;\n border: 1.5px solid var(--ink);\n}\n.deal-good { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.3); color: var(--blue); }\n.deal-ok { background: var(--surface); color: var(--ink-2); }\n.deal-high { background: var(--orange-soft); border-color: rgba(255, 106, 0, 0.35); color: var(--orange-deep); }\n.f-hero h1 { font-size: clamp(20px, 4.5vw, 26px); margin-top: 8px; }\n\n/* chips clés à défilement horizontal */\n.chips-scroll {\n display: flex; gap: 8px; overflow-x: auto; padding: 12px 0 6px;\n scrollbar-width: none; -webkit-overflow-scrolling: touch;\n}\n.chips-scroll::-webkit-scrollbar { display: none; }\n.chip-key {\n flex: 0 0 auto; background: var(--navy); color: var(--white);\n border-radius: var(--r-pill); padding: 8px 15px;\n font-size: 12px; font-weight: 600; white-space: nowrap; min-height: 34px;\n display: inline-flex; align-items: center;\n}\n\n/* ancres de navigation rapide */\n.ancres {\n display: flex; gap: 4px; overflow-x: auto; padding: 6px 0 2px;\n scrollbar-width: none; border-bottom: 1px solid var(--line); margin-bottom: 8px;\n}\n.ancres::-webkit-scrollbar { display: none; }\n.ancres a {\n flex: 0 0 auto; padding: 9px 14px; font-size: 13.5px; font-weight: 600;\n color: var(--ink-2); border-radius: var(--r-pill); min-height: 44px;\n display: inline-flex; align-items: center;\n}\n.ancres a:hover { background: var(--orange-soft); color: var(--orange); }\nhtml { scroll-padding-top: 76px; } /* header sticky au-dessus des ancres */\n\n/* description restructurée */\n.enbref {\n background: var(--blue-soft); border: 1px solid rgba(28, 92, 65, 0.25);\n border-radius: var(--r-card); padding: 12px 16px; color: var(--navy);\n font-size: 15px; margin: 0 0 14px;\n}\n.desc-section { margin-bottom: 12px; }\n.desc-section h4 { font-size: 15px; margin-bottom: 3px; }\n.desc-section p { color: var(--ink-2); font-size: 14.5px; margin: 0; white-space: pre-line; }\n.texte-original { margin-top: 12px; }\n.texte-original summary {\n cursor: pointer; font-size: 12.5px;\n color: var(--ink-3); min-height: 44px; display: flex; align-items: center;\n}\n.texte-original p { color: var(--ink-3); font-size: 13px; white-space: pre-line; }\n\n/* inclusions : confirmées vs mentionnées */\n.amenity.confirmed { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.25); color: var(--blue); font-weight: 600; }\n.amenity.unconfirmed { background: transparent; border-style: dashed; border-color: var(--line-strong); color: var(--ink-3); }\n\n/* détails pratiques : historique de prix */\n.prix-histo {\n margin-top: 12px; padding: 10px 14px; border-radius: var(--r-card);\n border: 1.5px solid var(--ink); font-size: 13.5px; background: var(--surface);\n}\n.prix-histo.down { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.3); color: var(--blue); }\n\n/* quartier compacté sur mobile */\n@media (max-width: 640px) {\n .q-cell { padding: 9px 11px; }\n .q-val { font-size: 16px; }\n .q-bar { gap: 8px; font-size: 12px; }\n .q-bar-track { height: 8px; }\n}\n.q-badge-sub { display: block; font-size: 10.5px; color: var(--ink-3); font-weight: 400; margin-left: 4px; }\n\n/* POI groupés repliables */\n.poi-groupe { border: 1.5px solid var(--ink); border-radius: var(--r-card);\n margin-bottom: 8px; background: var(--surface); overflow: hidden; }\n.poi-groupe summary {\n display: flex; justify-content: space-between; align-items: center; gap: 10px;\n padding: 12px 14px; cursor: pointer; font-weight: 600; font-size: 14px;\n min-height: 48px; list-style: none;\n}\n.poi-groupe summary::-webkit-details-marker { display: none; }\n.poi-groupe summary::after { content: \"▾\"; color: var(--ink-3); transition: transform 0.15s ease; }\n.poi-groupe[open] summary::after { transform: rotate(180deg); }\n.poi-resume { font-size: 11.5px; color: var(--ink-3); font-weight: 400; }\n.poi-groupe .poi-list { padding: 0 14px 10px; }\n\n/* CTA sticky mobile */\n.cta-sticky {\n position: fixed; left: 0; right: 0; z-index: var(--z-dropdown, 700);\n bottom: var(--consent-h, 0px);\n display: flex; align-items: center; gap: 12px;\n background: rgba(255, 255, 255, 0.94); backdrop-filter: blur(12px);\n border-top: 1px solid var(--line);\n padding: 10px 16px calc(10px + env(safe-area-inset-bottom));\n}\n.cta-sticky .cta { flex: 1; margin: 0; text-align: center; }\n.cta-sticky-prix { font-family: var(--font-display); font-weight: 700; font-size: 19px; white-space: nowrap; color: var(--navy); }\n.cta-sticky-prix small { font-weight: 500; font-size: 10px; color: var(--ink-3); }\n@media (min-width: 900px) { .cta-sticky { display: none; } }\n@media (max-width: 899px) {\n .cta-desktop { display: none; }\n .detail { padding-bottom: 84px; } /* place pour le CTA sticky */\n}\n.f-foot { margin-top: 26px; }\n\n/* --- Passerelle vers l'annonce originale ------------------------------------ */\n.passerelle {\n min-height: calc(100dvh - 120px); display: flex; align-items: center;\n justify-content: center; padding: 24px 16px;\n}\n.pass-card {\n width: 100%; max-width: 520px; background: var(--surface);\n border: 1.5px solid var(--ink); border-radius: var(--r-card);\n box-shadow: var(--shadow-off); padding: 30px 28px; text-align: center;\n}\n.pass-brands {\n display: flex; align-items: center; justify-content: center; gap: 14px;\n margin-bottom: 22px; flex-wrap: wrap;\n}\n.pass-brand {\n font-family: var(--font-display); font-weight: 700; font-size: 24px;\n letter-spacing: -0.03em; display: inline-flex; align-items: center; color: var(--navy);\n}\n.pass-brand .ka { color: var(--orange); }\n.pass-trajet { display: inline-flex; align-items: center; gap: 5px; }\n.pass-dot {\n width: 6px; height: 6px; border-radius: 50%; background: var(--orange);\n opacity: 0.25; animation: pass-dot 1.2s ease infinite;\n}\n.pass-dot:nth-child(2) { animation-delay: 0.2s; }\n.pass-dot:nth-child(3) { animation-delay: 0.4s; }\n@keyframes pass-dot { 40% { opacity: 1; transform: translateX(2px); } }\n.pass-fleche { color: var(--orange); font-size: 18px; }\n.pass-gestionnaire {\n font-family: var(--font-display); font-weight: 700; font-size: 19px;\n display: inline-flex; align-items: center; gap: 8px;\n background: var(--blue-soft); border: 1px solid rgba(28, 92, 65, 0.25);\n border-radius: var(--r-pill); padding: 6px 16px; color: var(--blue);\n}\n.pass-card h1 { font-size: 20px; letter-spacing: -0.02em; }\n.pass-texte { color: var(--ink-2); font-size: 14.5px; margin: 10px 0 20px; }\n.pass-progress {\n height: 10px; border-radius: var(--r-pill);\n overflow: hidden; background: var(--grey); margin-bottom: 20px;\n}\n.pass-progress-fill {\n display: block; height: 100%; width: 0; background: var(--orange);\n border-radius: var(--r-pill);\n}\n.pass-progress-fill.go { animation: pass-fill 2.2s linear forwards; }\n@keyframes pass-fill { to { width: 100%; } }\n@media (prefers-reduced-motion: reduce) {\n .pass-progress-fill.go { animation: none; width: 100%; }\n .pass-dot { animation: none; opacity: 0.7; }\n}\n.pass-actions { display: flex; gap: 10px; justify-content: center; flex-wrap: wrap; margin-bottom: 14px; }\n\n/* --- boutons PDF -------------------------------------------------------- */\n.btn-pdf { display: block; text-align: center; margin-top: 10px; width: 100%; }\n\n/* --- Onglets de la page Stats -------------------------------------------- */\n.onglets {\n display: flex; gap: 8px; overflow-x: auto; margin: 26px 0 22px;\n padding-bottom: 4px; scrollbar-width: none;\n border-bottom: 1px solid var(--line);\n}\n.onglets::-webkit-scrollbar { display: none; }\n.onglet {\n flex: 0 0 auto; display: inline-flex; align-items: center; gap: 7px;\n border: 1.5px solid var(--ink);\n border-radius: var(--r-pill);\n background: var(--surface); color: var(--ink-2); cursor: pointer;\n padding: 10px 18px; font-weight: 600; font-size: 13.5px; min-height: 44px;\n margin-bottom: 8px;\n transition: background 0.12s ease, color 0.12s ease, border-color 0.12s ease;\n}\n.onglet:hover { background: var(--blue-soft); color: var(--blue); border-color: var(--blue); }\n.onglet.on { background: var(--blue); border-color: var(--blue); color: var(--white); }\n\n/* baisses de prix */\n.baisses { list-style: none; margin: 0; padding: 0; display: flex; flex-direction: column; gap: 4px; }\n.baisses li {\n display: flex; align-items: center; gap: 12px; flex-wrap: wrap;\n padding: 9px 4px; border-bottom: 1px solid var(--line); font-size: 13.5px;\n}\n.baisses li a { font-weight: 600; text-decoration: underline; text-underline-offset: 2px; }\n.baisse-ville { color: var(--ink-3); font-size: 11.5px; }\n.baisse-prix { margin-left: auto; }\n.baisse-prix s { color: var(--ink-3); }\n.baisse-pct {\n font-style: normal; font-weight: 700;\n background: var(--blue-soft);\n color: var(--blue); border-radius: var(--r-pill); padding: 2px 9px;\n font-size: 11px; margin-left: 8px;\n}\n.alertes { list-style: none; padding: 0; display: flex; flex-direction: column; gap: 6px; font-size: 13px; color: var(--ink-2); }\n\n/* ================= Pagination (12 annonces/page) ================= */\n.pager {\n display: flex; align-items: center; justify-content: space-between;\n gap: 16px; flex-wrap: wrap; margin: 26px 0 10px; padding-top: 18px;\n border-top: 1px solid var(--line);\n}\n.pager-info {\n font-size: 12.5px; color: var(--ink-2); letter-spacing: 0.02em;\n}\n.pager-info em { font-style: normal; color: var(--ink-3); }\n.pager-nav { display: flex; align-items: center; gap: 6px; flex-wrap: wrap; }\n.pager-btn {\n min-width: 38px; height: 38px; padding: 0 10px;\n display: inline-flex; align-items: center; justify-content: center;\n background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-pill); cursor: pointer;\n font-size: 13px; font-weight: 600;\n color: var(--navy); transition: all 0.12s ease;\n}\n.pager-btn:hover:not(:disabled):not(.on) {\n background: var(--blue-soft); border-color: var(--blue); color: var(--blue);\n}\n.pager-btn.on { background: var(--navy); border-color: var(--navy); color: var(--white); cursor: default; }\n.pager-btn:disabled { opacity: 0.35; cursor: not-allowed; }\n.pager-ellipsis { color: var(--ink-3); padding: 0 2px; }\n.map-list .pager { margin: 10px 0 4px; }\n@media (max-width: 640px) {\n .pager { justify-content: center; }\n .pager-info { width: 100%; text-align: center; order: 2; }\n}\n\n/* ================= Icônes SVG inline — alignement ================= */\n.chip-ico { display: inline-flex; align-items: center; gap: 6px; }\n.chip-ico svg { flex: none; }\n.view-toggle button, .seg button { display: inline-flex; align-items: center; gap: 6px; }\n.fab { align-items: center; gap: 8px; }\n.fab svg { flex: none; }\n.mm-ico { display: inline-flex; align-items: center; }\n.notice .big { display: flex; justify-content: center; color: var(--ink-3); }\n.notice .big svg { display: block; }\n.card-img .noimg { color: var(--ink-3); }\n.badge.right { display: inline-flex; align-items: center; gap: 4px; }\n.btn-pdf { display: inline-flex; align-items: center; gap: 7px; }\n.f-search svg { flex: none; color: var(--ink-3); }\n.mv-noimg { display: flex; align-items: center; justify-content: center; color: var(--ink-3); }\n\n/* footer — liens (Groupe KA, courriels, mentions légales) */\n.footer .frow a { color: var(--white); text-decoration: underline; text-decoration-color: rgba(255, 106, 0, 0.5); text-underline-offset: 3px; }\n.footer .frow a:hover { color: var(--orange); }\n.footer .fmono a:hover { color: var(--orange); }\n\n/* ================= Compte (connexion Google) ================= */\n.login-btn {\n display: inline-flex; align-items: center; gap: 8px;\n padding: 8px 16px; margin-left: 10px; min-height: 38px;\n background: var(--navy); border: none;\n border-radius: var(--r-pill); font-weight: 600; font-size: 13.5px; color: var(--white);\n transition: all 0.12s ease; white-space: nowrap;\n box-shadow: 0 4px 14px rgba(20, 24, 20, 0.22);\n}\n.login-btn:hover { background: var(--blue); }\n.account { position: relative; margin-left: 10px; }\n.account-btn {\n width: 38px; height: 38px; padding: 0; border: 2px solid var(--orange);\n border-radius: var(--r-pill); overflow: hidden; cursor: pointer;\n background: var(--orange-soft); display: flex; align-items: center; justify-content: center;\n}\n.account-btn img { width: 100%; height: 100%; object-fit: cover; }\n.account-initial { font-family: var(--font-display); font-weight: 700; font-size: 16px; color: var(--orange); }\n/* Click-catcher plein écran rendu via createPortal à la racine de \n (un fixed descendant du header blurré se re-parentait → 66 px de haut).\n z-index SOUS le header (50) : le menu .account-menu reste ancré DANS le\n header et doit peindre au-dessus du voile. */\n.account-backdrop { position: fixed; inset: 0; z-index: 40; }\n.account-menu {\n position: absolute; right: 0; top: calc(100% + 10px); z-index: 91;\n min-width: 220px; background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-card); box-shadow: var(--shadow-off); overflow: hidden;\n}\n.account-id { display: flex; flex-direction: column; gap: 2px; padding: 12px 14px; border-bottom: 1px solid var(--line); }\n.account-id b { font-size: 14px; }\n.account-id span { font-size: 11.5px; color: var(--ink-3); word-break: break-all; }\n.account-menu button {\n width: 100%; text-align: left; padding: 11px 14px; border: 0; cursor: pointer;\n background: transparent; font-weight: 600; font-size: 13.5px; color: var(--danger);\n}\n.account-menu button:hover { background: var(--orange-soft); color: var(--navy); }\n@media (max-width: 640px) { .login-btn { padding: 8px 12px; font-size: 12.5px; } }\n\n/* ================= Profil — carte de membre Groupe KA ================= */\n.profil { padding-top: 40px; padding-bottom: 60px; }\n.profil h1 { font-size: clamp(30px, 5vw, 44px); margin: 10px 0 26px; color: var(--navy); }\n.profil .lede { max-width: 520px; color: var(--ink-2); margin-bottom: 22px; }\n\n.pc {\n position: relative; max-width: 520px; overflow: hidden;\n background: linear-gradient(135deg, #101a40 0%, var(--navy) 55%, #080e24 100%);\n color: var(--white);\n border-radius: 20px;\n padding: 24px 26px 0; box-shadow: var(--shadow-off);\n}\n.pc-watermark {\n position: absolute; right: -18px; top: -34px; pointer-events: none;\n font-family: var(--font-display); font-weight: 700; font-size: 170px;\n letter-spacing: -0.06em; color: rgba(255, 106, 0, 0.07);\n transform: rotate(-8deg); line-height: 1;\n}\n.pc-head { display: flex; align-items: baseline; justify-content: space-between; gap: 12px; flex-wrap: wrap; }\n.pc-brand { font-family: var(--font-display); font-weight: 700; font-size: 24px; letter-spacing: -0.03em; }\n.pc-ka { color: var(--orange); margin-left: 1px; display: inline-block; }\n.pc-label { font-size: 10px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.16em; color: rgba(255, 255, 255, 0.5); }\n.pc-id-block { margin: 26px 0 22px; display: flex; flex-direction: column; gap: 4px; }\n.pc-id-label { font-size: 10px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.2em; color: rgba(255, 106, 0, 0.75); }\n.pc-id {\n font-weight: 700; color: var(--orange);\n font-size: clamp(22px, 6vw, 34px); letter-spacing: 0.14em;\n text-shadow: 0 0 24px rgba(255, 106, 0, 0.35);\n}\n.pc-foot { display: flex; align-items: flex-end; justify-content: space-between; gap: 14px; padding-bottom: 18px; }\n.pc-holder { display: flex; flex-direction: column; gap: 2px; min-width: 0; }\n.pc-holder-name { font-weight: 600; font-size: 15px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }\n.pc-holder-since { font-size: 10.5px; color: rgba(255, 255, 255, 0.5); letter-spacing: 0.06em; }\n.pc-role-badge {\n display: inline-block; width: fit-content; margin: 3px 0 2px;\n background: var(--orange); color: var(--white);\n font-size: 9px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.12em;\n padding: 2px 8px 3px; border-radius: var(--r-pill);\n}\n.pc-avatar { width: 52px; height: 52px; border-radius: var(--r-pill); border: 2px solid var(--orange); flex: none; }\n.pc-strip { display: flex; gap: 5px; margin: 0 -26px; padding: 9px 18px; background: rgba(255, 106, 0, 0.1); border-top: 1px solid rgba(255, 106, 0, 0.25); overflow: hidden; }\n.pc-strip i { display: block; width: 3px; border-radius: 1px; background: var(--orange); opacity: 0.7; }\n.pc-strip i:nth-child(3n) { height: 14px; opacity: 0.35; }\n.pc-strip i:nth-child(3n+1) { height: 9px; }\n.pc-strip i:nth-child(3n+2) { height: 17px; opacity: 0.9; }\n.pc-copy { margin-top: 16px; }\n.pc-copy.ok { background: var(--blue); color: var(--white); }\n\n.profil-grid {\n display: grid; grid-template-columns: repeat(auto-fill, minmax(230px, 1fr));\n gap: 12px; margin-top: 30px; max-width: 760px;\n}\n.pg-item {\n background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-card); padding: 14px 16px;\n display: flex; flex-direction: column; gap: 4px; box-shadow: var(--shadow-flat);\n}\n.pg-label { font-size: 10.5px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.12em; color: var(--ink-3); }\n.pg-value { font-weight: 600; font-size: 14.5px; word-break: break-word; }\n.pg-value.mono { color: var(--blue); }\n\n.profil-note { max-width: 640px; color: var(--ink-2); font-size: 13.5px; margin-top: 22px; }\n.profil-note a { text-decoration: underline; text-underline-offset: 3px; }\n.profil-actions { display: flex; gap: 10px; flex-wrap: wrap; margin-top: 26px; }\n.profil-actions .btn { display: inline-flex; align-items: center; gap: 7px; }\n\n.account-kaid { font-size: 10.5px; color: var(--blue); letter-spacing: 0.08em; }\n.account-link {\n display: block; width: 100%; text-align: left; padding: 11px 14px;\n font-weight: 600; font-size: 13.5px; color: var(--navy);\n border-bottom: 1px solid var(--line);\n}\n.account-link:hover { background: var(--orange-soft); }\n\n/* profil public — section + lien partageable */\n.profil-public { margin-top: 30px; max-width: 640px; }\n.profil-public h3 { font-size: 18px; margin-bottom: 6px; }\n.profil-public p { color: var(--ink-2); font-size: 13.5px; margin: 0 0 12px; }\n.public-link {\n display: flex; align-items: center; gap: 10px; flex-wrap: wrap;\n margin-top: 14px; padding: 12px 14px; background: var(--blue-soft);\n border: 1px solid rgba(28, 92, 65, 0.25); border-radius: var(--r-card);\n}\n.public-link a { font-size: 13px; color: var(--blue); text-decoration: underline; text-underline-offset: 3px; word-break: break-all; }\n\n/* ================= Bienvenue — choix du rôle ================= */\n.bienvenue { padding-top: 44px; padding-bottom: 70px; }\n.bienvenue h1 { font-size: clamp(30px, 5vw, 46px); margin: 10px 0 14px; color: var(--navy); }\n.bienvenue .lede { max-width: 480px; color: var(--ink-2); margin-bottom: 30px; }\n.role-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 18px; max-width: 780px; }\n.role-card {\n display: flex; flex-direction: column; align-items: flex-start; gap: 10px;\n text-align: left; padding: 24px 24px 20px; cursor: pointer;\n background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-card); box-shadow: var(--shadow-flat);\n font-family: var(--font-body); transition: all 0.15s ease;\n}\n.role-card:hover:not(:disabled) { transform: translateY(-4px); box-shadow: var(--shadow-off); border-color: rgba(255, 106, 0, 0.4); }\n.role-card:disabled { opacity: 0.6; cursor: wait; }\n.role-ico { display: flex; width: 54px; height: 54px; align-items: center; justify-content: center; background: var(--orange-soft); color: var(--orange); border-radius: 16px; }\n.role-title { font-family: var(--font-display); font-weight: 700; font-size: 19px; letter-spacing: -0.02em; color: var(--navy); }\n.role-desc { color: var(--ink-2); font-size: 13.5px; }\n.role-perks { list-style: none; margin: 4px 0 0; padding: 0; display: flex; flex-direction: column; gap: 5px; }\n.role-perks li { display: flex; align-items: center; gap: 8px; font-size: 13px; color: var(--ink-2); }\n.role-perks li::before {\n content: \"✓\"; flex: none; width: 16px; height: 16px; border-radius: 50%;\n background: var(--orange); color: var(--white); font-size: 10px; font-weight: 700;\n display: inline-flex; align-items: center; justify-content: center;\n}\n.role-cta { margin-top: 10px; font-size: 12px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.1em; color: var(--orange); }\n\n/* ================= Favoris — cœur sur les cartes ================= */\n.fav-btn {\n position: absolute; right: 10px; bottom: 10px; z-index: 2;\n width: 34px; height: 34px; display: flex; align-items: center; justify-content: center;\n background: rgba(255, 255, 255, 0.94); border: none;\n border-radius: var(--r-pill); cursor: pointer; color: var(--navy);\n box-shadow: var(--shadow-flat);\n transition: transform 0.12s ease, background 0.12s ease, color 0.12s ease;\n}\n.fav-btn:hover { transform: scale(1.12); }\n.fav-btn.on { background: var(--white); color: var(--orange); }\n.fav-btn.on svg { filter: drop-shadow(0 0 3px rgba(255, 106, 0, 0.35)); }\n\n/* ================= Espace gestionnaire ================= */\n.claim-row { display: flex; gap: 10px; flex-wrap: wrap; align-items: center; max-width: 640px; }\n.claim-row select {\n flex: 1; min-width: 260px; padding: 11px 14px; font-size: 14px;\n border: 1.5px solid var(--ink); border-radius: var(--r-ctl);\n background: var(--surface); font-family: var(--font-body);\n}\n.claim-error { color: var(--danger); font-size: 13.5px; font-weight: 600; margin-top: 10px; }\n.org-head { display: flex; align-items: center; gap: 14px; flex-wrap: wrap; margin: 6px 0 22px; }\n.org-stat { display: inline-flex; align-items: center; gap: 7px; font-size: 14px; color: var(--ink-2); }\n.org-form { max-width: 640px; display: flex; flex-direction: column; gap: 14px; }\n.org-form h3 { font-size: 18px; }\n.org-form label { display: flex; flex-direction: column; gap: 5px; flex: 1; }\n.org-form label span { font-size: 10.5px; font-weight: 600; text-transform: uppercase; letter-spacing: 0.1em; color: var(--ink-3); }\n.org-form input, .org-form textarea {\n padding: 10px 14px; font-size: 14px; font-family: var(--font-body);\n border: 1.5px solid var(--ink); border-radius: var(--r-ctl); background: var(--surface);\n}\n.org-form textarea { resize: vertical; }\n.org-form input:focus, .org-form textarea:focus { outline: none; border-color: var(--blue); box-shadow: 0 0 0 3px rgba(28, 92, 65, 0.15); }\n.org-form-row { display: flex; gap: 12px; flex-wrap: wrap; }\n.org-form .btn { align-self: flex-start; }\n\n/* ================= Page publique /g/{source} ================= */\n.orgpub-head { display: flex; gap: 20px; align-items: flex-start; margin-top: 8px; }\n.orgpub-logo { width: 84px; height: 84px; object-fit: contain; background: var(--surface); border: 1.5px solid var(--ink); border-radius: 18px; padding: 8px; flex: none; box-shadow: var(--shadow-flat); }\n.orgpub-id h1 { font-size: clamp(26px, 4.4vw, 40px); margin: 6px 0 8px; color: var(--navy); }\n.orgpub-tagline { font-size: 16px; color: var(--ink-2); margin: 0 0 12px; max-width: 640px; }\n.orgpub-meta { display: flex; gap: 8px; flex-wrap: wrap; }\n.orgpub-meta a.stat-chip:hover { background: var(--blue-soft); }\n.orgpub-verified { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.3); color: var(--blue); font-weight: 600; }\n.orgpub-desc { max-width: 720px; color: var(--ink-2); margin: 18px 0 6px; white-space: pre-line; }\n.orgpub .results-head h2 { display: inline-flex; align-items: center; gap: 8px; }\n@media (max-width: 560px) { .orgpub-head { flex-direction: column; } }\n\n/* ================= Éditeur de profil (photo, bio, réseaux) ================= */\n.profil-edit { margin-top: 34px; padding-top: 24px; border-top: 1px solid var(--line-strong); }\n/* profil géré au hub Groupe KA — lecture seule */\n.hub-profile .hub-bio { color: var(--ink-2); font-size: 14px; margin: 0; max-width: 560px; }\n.hub-profile .pub-meta { display: flex; gap: 8px; flex-wrap: wrap; }\n.hub-profile .stat-chip { display: inline-flex; align-items: center; gap: 6px; }\n.hub-profile a.stat-chip:hover { background: var(--blue-soft); }\n.hub-profile .btn-primary { display: inline-flex; align-items: center; gap: 7px; }\n.pe-avatar-row { display: flex; align-items: center; gap: 16px; flex-wrap: wrap; }\n.pe-avatar {\n width: 84px; height: 84px; border-radius: var(--r-pill); object-fit: cover;\n border: 2.5px solid var(--orange); box-shadow: var(--shadow-flat);\n display: flex; align-items: center; justify-content: center;\n}\n.pe-avatar-empty { background: var(--orange-soft); color: var(--orange); font-family: var(--font-display); font-weight: 700; font-size: 34px; }\n.pe-avatar-actions { display: flex; flex-direction: column; gap: 8px; align-items: flex-start; }\n.pe-avatar-actions .btn { display: inline-flex; align-items: center; gap: 7px; }\n.pe-hint { font-size: 11px; color: var(--ink-3); }\n.pe-socials-title { font-size: 15px; margin-top: 6px; }\n.pe-socials { display: grid; grid-template-columns: repeat(auto-fill, minmax(260px, 1fr)); gap: 10px; }\n.pe-social { display: flex !important; flex-direction: row !important; align-items: center; gap: 0 !important; }\n.pe-social-ico {\n display: flex; align-items: center; justify-content: center;\n width: 40px; align-self: stretch; flex: none;\n background: var(--navy); color: var(--white);\n border-radius: var(--r-ctl) 0 0 var(--r-ctl);\n}\n.pe-social input { flex: 1; border-radius: 0 var(--r-ctl) var(--r-ctl) 0; border-left: 0; }\n\n/* profil public — à propos + réseaux */\n.pub-about { max-width: 640px; margin-top: 22px; }\n.pub-bio { font-size: 15.5px; color: var(--ink); margin: 0 0 12px; white-space: pre-line; }\n.pub-meta { display: flex; gap: 8px; flex-wrap: wrap; }\n.pub-socials { display: flex; gap: 10px; flex-wrap: wrap; margin-top: 18px; }\n.pub-social {\n display: flex; align-items: center; justify-content: center;\n width: 44px; height: 44px; background: var(--surface);\n border: 1.5px solid var(--ink); border-radius: 14px; color: var(--navy);\n transition: all 0.12s ease;\n}\n.pub-social:hover { background: var(--navy); border-color: var(--navy); color: var(--white); transform: translateY(-2px); box-shadow: var(--shadow-off-soft); }\n\n/* -----------------------------------------------------------------------------\n Lou-Ka Maps (framework Ka Maps par Groupe Ka)\n Jetons du design system appliqués au chrome de la carte + sync liste↔carte.\n----------------------------------------------------------------------------- */\n.mapview .ka-map {\n --ka-accent: var(--accent);\n --ka-on-accent: var(--on-accent);\n --ka-surface: var(--surface);\n --ka-ink: var(--navy);\n --ka-line: var(--line-strong);\n --ka-radius: var(--r-ctl);\n --ka-shadow: 0 8px 24px rgba(20, 24, 20, 0.14);\n --ka-font: var(--font-body);\n}\n.mapview { position: relative; overflow: hidden; }\n.mapview .ka-map { position: absolute; inset: 0; }\n\n/* mini-carte 3D de la fiche (Emplacement) — bâtiment de l'annonce en orange */\n.lmap3d {\n position: relative; height: 340px; border: 1.5px solid var(--ink);\n border-radius: var(--r-card); box-shadow: var(--shadow-off-soft);\n overflow: hidden; background: var(--grey);\n}\n.lmap3d .ka-map {\n --ka-accent: var(--accent);\n --ka-on-accent: var(--on-accent);\n --ka-surface: var(--surface);\n --ka-ink: var(--navy);\n --ka-line: var(--line-strong);\n --ka-radius: var(--r-ctl);\n --ka-shadow: 0 8px 24px rgba(20, 24, 20, 0.14);\n --ka-font: var(--font-body);\n position: absolute; inset: 0;\n}\n.lmap3d-skel {\n background: linear-gradient(90deg, #ececef 25%, #f7f7f9 50%, #ececef 75%);\n background-size: 800px 100%; animation: shimmer 1.4s infinite linear;\n}\n.lmap3d-legende {\n position: absolute; left: 10px; bottom: 10px; z-index: 5;\n display: inline-flex; align-items: center; gap: 6px;\n padding: 4px 10px; border: 1.5px solid var(--ink);\n border-radius: var(--r-pill); background: var(--surface);\n font-size: 10.5px; font-weight: 500; color: var(--ink-2);\n pointer-events: none;\n}\n.lmap3d-legende i {\n width: 10px; height: 10px; border-radius: 3px;\n background: var(--orange); border: 1px solid rgba(20, 24, 20, 0.25);\n}\n@media (max-width: 780px) { .lmap3d { height: 280px; } }\n.ka-preview .mv-pop img, .ka-preview .mv-noimg { height: 120px; }\n.ka-preview-sheet .mv-pop { display: grid; grid-template-columns: 130px 1fr; }\n.ka-preview-sheet .mv-pop img, .ka-preview-sheet .mv-noimg { height: 100%; min-height: 120px; }\n\n/* carte de liste synchronisée avec la carte (survol / sélection) */\n.map-card { border-radius: var(--r-card); }\n.map-card-sel { outline: 2px solid var(--blue); outline-offset: 2px; }\n\n/* =============================================================================\n HARMONISATION « ÉDITORIAL SHARP » (Groupe KA) — couche finale posée après\n les styles historiques : géométrie 10/6 px, bordures encre 1,5 px, ombres\n décalées dures, accent orange Lou-Ka. La carte Ka Maps (Mapbox) conserve\n son propre thème marine/orange à l'intérieur du canevas.\n============================================================================= */\n\n/* — contrôles : plus de pilules (les chips/badges gardent --r-pill) — */\n.nav a, .login-btn, .cta, .mv-pop-cta, .f-search, .f-more, .pager-btn,\n.onglet, .view-toggle, .fab, .f-ctl, .pass-gestionnaire, .hbar-track,\n.q-bar-track, .pass-progress { border-radius: var(--r-ctl); }\n.seg button:first-child { border-radius: var(--r-ctl) 0 0 var(--r-ctl); }\n.seg button:last-child { border-radius: 0 var(--r-ctl) var(--r-ctl) 0; }\n\n/* — header : papier translucide + trait d'encre — */\n.header {\n background: rgba(245, 243, 238, 0.92);\n border-bottom: 1.5px solid var(--ink);\n}\n.nav a { font-family: var(--font-display); }\n.nav a:hover { color: var(--accent-deep); background: var(--accent-soft); }\n.nav a.active { background: var(--ink); color: var(--accent); }\n.brand .ka {\n background: var(--accent); color: var(--on-accent);\n border-radius: 6px; padding: 0 6px 2px; margin-left: 2px; transform: rotate(-2deg);\n}\n.header .gk-badge { margin-left: 4px; flex: none; }\n@media (max-width: 1080px) { .header .gk-badge { display: none; } }\n.mm-badge {\n display: flex; align-items: center; min-height: var(--touch);\n padding: 8px 10px 2px;\n}\n\n/* — ticker : encre + mono — */\n.ticker { font-family: var(--font-mono); border-bottom: 1.5px solid var(--ink); }\n\n/* — états sélectionnés : encre + accent (fini le bleu) — */\n.seg button.on, .onglet.on, .view-toggle button.on, .f-more.on {\n background: var(--ink); border-color: var(--ink); color: var(--accent);\n}\n.pager-btn.on { background: var(--ink); border-color: var(--ink); color: var(--accent); }\n\n/* — CTA / FAB : aplat accent, bordure encre, ombre décalée — */\n.cta, .mv-pop-cta, .fab {\n background: var(--accent); color: var(--on-accent);\n border: 1.5px solid var(--ink); box-shadow: 4px 4px 0 var(--ink);\n font-family: var(--font-display); font-weight: 700;\n}\n.cta:hover, .mv-pop-cta:hover, .fab:hover { background: var(--accent-deep); }\n.cta:active, .fab:active { box-shadow: none; }\n.fab { box-shadow: 4px 4px 0 var(--ink), 0 10px 28px rgba(20, 24, 20, 0.25); }\n.login-btn {\n background: var(--ink); color: var(--accent);\n border: 1.5px solid var(--ink); box-shadow: none;\n font-family: var(--font-display); font-weight: 700;\n}\n.login-btn:hover { background: var(--accent-deep); color: var(--on-accent); }\n\n/* — cartes : levée nette diagonale (signature du groupe) — */\n.card:hover { transform: translate(-2px, -2px); box-shadow: var(--shadow-off); }\n.role-card:hover:not(:disabled) { transform: translate(-2px, -2px); box-shadow: var(--shadow-off); border-color: var(--ink); }\n.badge { border: 1.5px solid var(--ink); border-radius: var(--r-ctl); font-family: var(--font-mono); text-transform: uppercase; letter-spacing: 0.05em; font-size: 10px; }\n.badge.type { background: var(--accent); color: var(--on-accent); }\n.source-tag { font-family: var(--font-mono); }\n\n/* — barre d'onglets mobile : papier + encre, actif = accent orange — */\n@media (max-width: 760px) {\n .tabbar { background: rgba(245, 243, 238, 0.95); border-top: 1.5px solid var(--ink); }\n .tabbar a { font-family: var(--font-display); }\n .tabbar a.active { color: var(--accent); }\n}\n.mobile-menu { background: var(--paper); border-bottom: 1.5px solid var(--ink); }\n\n/* — carte de membre KA : encre plutôt que marine — */\n.pc { background: linear-gradient(135deg, #1d231d 0%, var(--ink) 55%, #0b0e0b 100%); }\n\n/* — micro-étiquettes en mono (système) — */\n.f-ctl > span, .f-group > label, .field label, .tile-k, .pg-label,\n.pc-label, .pc-id-label, .crumbs, .viz-sub { font-family: var(--font-mono); }\n\n/* — page Contact (design system) — */\n.contact-page { padding: 44px 0 90px; }\n.contact-page h1 { margin: 10px 0 8px; }\n.contact-page .lede { color: var(--ink-2); max-width: 640px; margin: 0 0 26px; }\n.contact-grid { display: grid; gap: 16px; grid-template-columns: 1fr; margin: 26px 0; }\n@media (min-width: 768px) { .contact-grid { grid-template-columns: repeat(3, 1fr); } }\n.contact-card { padding: 18px 20px; }\n.contact-card .klabel { display: block; margin-bottom: 6px; }\n.contact-card a.mail {\n font-family: var(--font-mono); font-weight: 700; font-size: 13.5px;\n color: var(--accent-deep); word-break: break-all;\n text-decoration: underline; text-underline-offset: 3px;\n display: inline-flex; align-items: center; min-height: 44px;\n}\n.contact-card p { margin: 6px 0 0; color: var(--ink-2); font-size: 13.5px; }\n.contact-note {\n border-left: 3px solid var(--accent); background: var(--surface);\n border-top: 1.5px solid var(--ink); border-right: 1.5px solid var(--ink);\n border-bottom: 1.5px solid var(--ink); border-radius: 0 var(--r-card) var(--r-card) 0;\n padding: 14px 18px; max-width: 720px; color: var(--ink-2); font-size: 14px;\n}\n.contact-note b { color: var(--ink); }\n.contact-sites { list-style: none; margin: 14px 0 0; padding: 0; display: flex; flex-wrap: wrap; gap: 8px; }\n.contact-sites a {\n display: inline-flex; align-items: center; min-height: 34px;\n padding: 4px 12px; border: 1.5px solid var(--ink); border-radius: var(--r-pill);\n background: var(--surface); font-family: var(--font-mono); font-size: 11px;\n font-weight: 700; text-transform: uppercase; letter-spacing: 0.06em;\n transition: transform 0.12s, box-shadow 0.12s;\n}\n.contact-sites a:hover { transform: translate(-1px, -1px); box-shadow: var(--shadow-off-mid); }\n.contact-hub { margin-top: 26px; }\n\n/* — rangée de navigation locale au-dessus du footer commun — */\n.prefooter { border-top: 1.5px solid var(--ink); background: var(--surface-2); padding: 18px 0; }\n.prefooter .container {\n display: flex; flex-wrap: wrap; align-items: center; gap: 6px 20px;\n font-family: var(--font-mono); font-size: 11.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.08em;\n}\n.prefooter a, .prefooter .flink {\n color: var(--ink-2); text-decoration: none; text-transform: uppercase;\n letter-spacing: 0.08em; font-family: var(--font-mono); font-weight: 700; font-size: 11.5px;\n min-height: var(--touch); display: inline-flex; align-items: center;\n}\n.prefooter a:hover, .prefooter .flink:hover { color: var(--accent-deep); text-decoration: underline; text-underline-offset: 4px; }\n.prefooter .baseline { width: 100%; font-family: var(--font-body); font-weight: 400; font-size: 13px; color: var(--ink-2); text-transform: none; letter-spacing: 0; }\n.ka-footer { margin-top: 0; }\n@media (max-width: 760px) { .ka-footer { padding-bottom: calc(72px + env(safe-area-inset-bottom)); } }\n\n/* ============ Juste valeur (fair value) — pastilles & analyse de prix ====== */\n.fv-badge {\n display: inline-flex; align-items: center; gap: 6px;\n border-radius: var(--r-pill); padding: 6px 12px;\n font-size: 12.5px; font-weight: 700; border: 1.5px solid var(--ink);\n white-space: nowrap;\n}\n.fv-badge .fv-ico { font-size: 10px; line-height: 1; }\n.fv-badge .fv-pct { margin-left: 4px; }\n.fv-badge.fv-compact { padding: 2px 8px; font-size: 11px; gap: 4px; margin-left: 8px; vertical-align: 2px; }\n/* états (mêmes jetons que les badges marché existants — daltonien-compatible :\n l'icône ▼ ≈ ▲ et le libellé portent l'information, pas la couleur seule) */\n.fv-badge.deal-good { background: var(--blue-soft); border-color: rgba(28, 92, 65, 0.35); color: var(--blue); }\n.fv-badge.deal-ok { background: var(--surface); color: var(--ink-2); }\n.fv-badge.deal-high { background: var(--orange-soft); border-color: rgba(255, 106, 0, 0.4); color: var(--orange-deep); }\n\n.f-fairvalue .fv-head {\n display: flex; align-items: flex-start; justify-content: space-between;\n gap: 12px; flex-wrap: wrap; margin-bottom: 6px;\n}\n.f-fairvalue .fv-value { font-family: var(--font-display); font-weight: 700; font-size: 26px; color: var(--navy); }\n.f-fairvalue .fv-value small { font-size: 12px; font-weight: 500; color: var(--ink-3); }\n.f-fairvalue .fv-range { font-size: 12.5px; color: var(--ink-2); margin-top: 2px; }\n.fv-histo { display: block; width: 100%; height: auto; margin: 10px 0 4px; }\n.fv-histo-lbl { font: 700 10px Inter, system-ui, sans-serif; fill: var(--ink); }\n.fv-histo-lbl-fv { fill: var(--accent-deep, #cc5500); }\n.fv-histo-axis { font: 500 9px Inter, system-ui, sans-serif; fill: var(--ink-3); }\n.fv-meta { display: flex; flex-wrap: wrap; gap: 6px 16px; font-size: 12.5px; color: var(--ink-2); margin: 6px 0 4px; }\n.fv-demo { display: flex; flex-wrap: wrap; gap: 8px; }\n.chip.chip-deal.on { background: var(--blue); border-color: var(--blue); color: var(--white); }\n\n/* =============================================================================\n MapSearch — recherche synchronisée liste ↔ carte (search/MapSearch.tsx)\n Une seule vérité partagée : compteur, tri, survols et sélections miroirs.\n============================================================================= */\n\n.ms { position: relative; }\n.ms-list { position: relative; scroll-behavior: smooth; }\n\n.ms-list-head {\n display: flex; align-items: center; justify-content: space-between;\n gap: 10px; flex-wrap: wrap; padding: 2px 2px 4px;\n}\n.ms-count { font-size: 13.5px; color: var(--ink-2); }\n.ms-count b { color: var(--ink); font-size: 15px; }\n.ms-nopos {\n margin-left: 8px; font-size: 11px; color: var(--ink-3);\n border: 1px dashed var(--line-strong); border-radius: var(--r-pill);\n padding: 2px 8px; cursor: help;\n}\n.ms-sort { display: inline-flex; align-items: center; gap: 6px; font-size: 12px; color: var(--ink-3); }\n.ms-sort select {\n border: 1.5px solid var(--ink); border-radius: var(--r-ctl);\n background: var(--surface); padding: 6px 8px; font-size: 12.5px;\n font-weight: 600; color: var(--ink);\n}\n\n.ms-pills { margin: 0 0 4px; }\n\n.ms-refit {\n align-self: flex-start; border: 1.5px solid var(--ink);\n border-radius: var(--r-pill); background: var(--surface);\n padding: 6px 12px; font-size: 12px; font-weight: 600; color: var(--ink-2);\n cursor: pointer; box-shadow: var(--shadow-off-soft);\n}\n.ms-refit:hover { background: var(--navy); color: var(--white); border-color: var(--navy); }\n\n/* barre de progression fine — jamais d'écran qui clignote */\n.ms-progress {\n position: sticky; top: 0; z-index: 4; height: 3px; border-radius: 2px;\n background: linear-gradient(90deg, transparent, var(--accent), transparent);\n background-size: 200% 100%; animation: ms-progress 1s linear infinite;\n}\n@keyframes ms-progress { from { background-position: 200% 0; } to { background-position: -200% 0; } }\n\n.ms-empty {\n border: 1.5px dashed var(--line-strong); border-radius: var(--r-card);\n padding: 26px 18px; text-align: center; color: var(--ink-2);\n}\n.ms-empty .big { margin-bottom: 6px; color: var(--ink-3); }\n.ms-empty h3 { margin: 0 0 6px; font-size: 16px; color: var(--ink); }\n.ms-empty p { margin: 0 0 14px; font-size: 13px; }\n.ms-empty-actions { display: flex; gap: 10px; justify-content: center; flex-wrap: wrap; }\n\n/* miroirs survol / sélection venus de la carte */\n.map-card { transition: transform 0.15s ease, box-shadow 0.15s ease; }\n.map-card-hover {\n outline: 2px solid var(--accent); outline-offset: 2px;\n transform: translateY(-1px);\n}\n.map-card-pulse { animation: ms-pulse 0.9s ease 1; }\n@keyframes ms-pulse {\n 0% { box-shadow: 0 0 0 0 color-mix(in srgb, var(--accent) 55%, transparent); }\n 70% { box-shadow: 0 0 0 12px transparent; }\n 100% { box-shadow: 0 0 0 0 transparent; }\n}\n\n/* indicateur discret : l'annonce survolée sur la carte est hors écran */\n.ms-hover-hint {\n position: sticky; z-index: 5; align-self: center;\n background: var(--navy); color: var(--white);\n border-radius: var(--r-pill); padding: 5px 12px;\n font-size: 11.5px; font-weight: 600; pointer-events: none;\n box-shadow: var(--shadow-off-soft);\n}\n.ms-hover-hint.haut { top: 8px; order: -1; }\n.ms-hover-hint.bas { bottom: 8px; }\n\n/* ---------------- carrousel mobile synchronisé aux marqueurs ------------- */\n.ms-carousel {\n position: absolute; left: 0; right: 0; bottom: 10px; z-index: 12;\n display: flex; gap: 10px; overflow-x: auto; padding: 4px 12px;\n scroll-snap-type: x mandatory; -webkit-overflow-scrolling: touch;\n scrollbar-width: none;\n}\n.ms-carousel::-webkit-scrollbar { display: none; }\n.ms-car-item {\n flex: 0 0 78%; max-width: 340px; scroll-snap-align: center;\n display: grid; grid-template-columns: 108px 1fr; gap: 0;\n background: var(--surface); border: 1.5px solid var(--ink);\n border-radius: var(--r-card); overflow: hidden;\n box-shadow: var(--shadow-off-soft); text-decoration: none; color: inherit;\n}\n.ms-car-item.sel { outline: 2.5px solid var(--accent); outline-offset: 1px; }\n.ms-car-item img, .ms-car-item .smart-img, .ms-car-item .card-fallback {\n width: 108px; height: 96px; object-fit: cover; display: block;\n}\n.ms-car-body { padding: 9px 12px; min-width: 0; }\n.ms-car-price { font-size: 14.5px; font-weight: 700; color: var(--ink); display: flex; gap: 6px; align-items: center; }\n.ms-car-title {\n font-size: 12px; color: var(--ink-2); margin-top: 2px;\n white-space: nowrap; overflow: hidden; text-overflow: ellipsis;\n}\n.ms-car-meta { font-size: 11px; color: var(--ink-3); margin-top: 3px; }\n.ms-car-more {\n flex: 0 0 auto; scroll-snap-align: center; align-self: stretch;\n border: 1.5px solid var(--ink); border-radius: var(--r-card);\n background: var(--navy); color: var(--white);\n font-size: 12.5px; font-weight: 600; padding: 0 18px; cursor: pointer;\n}\n\n/* mobile : carte plein cadre, liste masquée, carrousel par-dessus la carte */\n@media (max-width: 780px) {\n .ms { height: calc(100dvh - 190px); }\n .ms-list { display: none; }\n .ms .mapview { height: 100%; }\n .ka-search-area { top: 8px; }\n}\n@media (min-width: 781px) {\n .ms-carousel { display: none; }\n}\n\n/* mobile : réorganisation du chrome carte autour du carrousel */\n@media (max-width: 780px) {\n .ms .ka-draw-btn { top: 56px; left: 10px; bottom: auto; }\n .ms .ka-loading { bottom: 132px; }\n .ms .ka-empty { transform: translate(-50%, -70%); }\n}\n/* l'auto-défilement vers la carte laisse l'entête de résultats visible */\n.ms { scroll-margin-top: 108px; }\n\n/* mobile, vue carte : chrome sans chevauchement (case en haut, outils sous\n elle, FAB Filtres au-dessus du carrousel) */\n@media (max-width: 780px) {\n .ms .ka-draw-btn { top: 88px; left: 10px; bottom: auto; }\n .ms .ka-locate { top: 88px; right: 10px; }\n .fab-carte { bottom: 148px; }\n}\n\n/* =============================================================================\n KA Scores — pastilles, jauges circulaires, page méthodologie\n============================================================================= */\n.ka-badge {\n display: inline-flex; align-items: center; gap: 4px;\n border: 1.5px solid var(--ink); border-radius: var(--r-pill);\n padding: 1px 8px 1px 3px; font-size: 11px; font-weight: 700;\n color: var(--ink); background: var(--surface); line-height: 1.5;\n vertical-align: middle;\n}\n.ka-badge-logo {\n background: var(--ink); color: var(--white); border-radius: 999px;\n font-size: 8.5px; font-weight: 800; padding: 1.5px 5px; letter-spacing: 0.4px;\n}\n.ka-badge.ka-haut { border-color: var(--green, #256d43); }\n.ka-badge.ka-haut .ka-badge-logo { background: var(--green, #256d43); }\n.ka-badge.ka-bon { border-color: var(--accent); }\n.ka-badge.ka-bon .ka-badge-logo { background: var(--accent); }\n.ka-badge.ka-moyen { opacity: 0.9; }\n.ka-badge.ka-bas { opacity: 0.75; }\n\n.ka-circles, .ka-demo-circles {\n display: flex; gap: 18px; flex-wrap: wrap; margin: 14px 0 6px;\n}\n.ka-circle { text-align: center; width: 92px; }\n.ka-circle-fond {\n fill: none; stroke: var(--line); stroke-width: 6;\n}\n.ka-circle-arc {\n fill: none; stroke: var(--ink-3); stroke-width: 6; stroke-linecap: round;\n transition: stroke-dasharray 0.6s ease;\n}\n.ka-circle.ka-haut .ka-circle-arc { stroke: var(--green, #256d43); }\n.ka-circle.ka-bon .ka-circle-arc { stroke: var(--accent); }\n.ka-circle.ka-moyen .ka-circle-arc { stroke: var(--orange, #d97a2b); }\n.ka-circle.ka-bas .ka-circle-arc { stroke: #b3543f; }\n.ka-circle-val { font: 700 17px var(--font-body); fill: var(--ink); }\n.ka-circle-nom { font-size: 12px; font-weight: 700; color: var(--ink); margin-top: 4px; }\n.ka-circle-label { font-size: 10.5px; color: var(--ink-3); }\n\n.f-kascores h2 { display: flex; align-items: center; gap: 10px; flex-wrap: wrap; }\n.ka-perso {\n font-size: 12px; font-weight: 600; color: var(--ink-2);\n border: 1.5px dashed var(--line-strong); border-radius: var(--r-pill);\n padding: 2px 10px;\n}\n.ka-detail summary {\n cursor: pointer; font-size: 13px; font-weight: 600; color: var(--ink-2);\n padding: 6px 0;\n}\n.ka-detail-grille {\n display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));\n gap: 14px; padding: 8px 0 4px;\n}\n.ka-detail-grille h4 { margin: 0 0 4px; font-size: 12px; color: var(--ink); }\n.ka-detail-grille ul { margin: 0 0 10px; padding-left: 16px; font-size: 12.5px; color: var(--ink-2); }\n.ka-detail-grille li { margin: 2px 0; }\n\n.ka-poids { display: grid; gap: 10px; margin: 14px 0; max-width: 460px; }\n.ka-poids-row {\n display: grid; grid-template-columns: 90px 1fr 48px; align-items: center;\n gap: 12px; font-size: 13px; font-weight: 600; color: var(--ink);\n}\n.ka-poids-row input[type=\"range\"] { accent-color: var(--accent); }\n.ka-poids-row b { text-align: right; font-variant-numeric: tabular-nums; }\n\n.ms-car-price .ka-badge { margin-left: 2px; }\n@media (max-width: 780px) {\n .ms .ka-3d { top: 148px; right: 10px; }\n}\n\n\n/* ---- Registre des loyers (fiche) — bloc citoyen registre-des-loyers.ca ---- */\n.f-rdl .rdl-resume { margin: 2px 0 6px; }\n.f-rdl .rdl-ecart { margin: 0 0 8px; }\n.rdl-rooms { display: flex; flex-wrap: wrap; gap: 6px 14px; margin: 4px 0 10px; }\n.rdl-room { font-size: 13px; color: var(--ink-2); white-space: nowrap; }\n.rdl-room i { font-style: normal; color: var(--ink-3); }\n.rdl-table { width: 100%; border-collapse: collapse; font-size: 13px; }\n.rdl-table td { padding: 5px 8px 5px 0; border-top: 1px solid var(--line, #e6e4df);\n vertical-align: top; }\n.rdl-table .rdl-addr { max-width: 46%; }\n.rdl-table .rdl-prix { font-weight: 600; white-space: nowrap; }\n.rdl-table .rdl-date { white-space: nowrap; color: var(--ink-2); }\n.rdl-table .rdl-dist { color: var(--ink-3); white-space: nowrap; text-align: right; }\n.rdl-room-on { background: var(--sand, #f4efe7); border-radius: 6px; padding: 2px 8px; }\n\n\n/* ---- Risque d'inondation (fiche) — BDZI gouv. du Québec ---- */\n.f-zi .zi-head { display: flex; align-items: center; gap: 10px; }\n.zi-badge { display: inline-block; padding: 3px 10px; border-radius: 999px;\n font-size: 12.5px; font-weight: 700; }\n.zi-eleve { background: #fde8e8; color: #a12622; }\n.zi-modere { background: #fdf3e0; color: #8a5a00; }\n.zi-present { background: #fdf3e0; color: #8a5a00; }\n.zi-ok { background: #e7f4ea; color: #1e6b34; }\n.zi-nc { background: var(--sand, #f0ede8); color: var(--ink-3); }\n.zi-liste { margin: 8px 0 0; padding: 0; list-style: none; font-size: 13px; }\n.zi-liste li { padding: 4px 0; border-top: 1px solid var(--line, #e6e4df); }\n\n\n/* ---- Historique TAL (fiche) — décisions SOQUIJ à l'adresse ---- */\n.f-tal .tal-pending, .f-tal .tal-ok, .f-tal .tal-resume { margin: 2px 0 8px; }\n.tal-liste { margin: 8px 0 0; padding: 0; list-style: none; font-size: 13px; }\n.tal-liste li { padding: 8px 0; border-top: 1px solid var(--line, #e6e4df); }\n.tal-ligne { display: flex; flex-wrap: wrap; align-items: center; gap: 6px 10px; }\n.tal-date { font-weight: 600; color: var(--ink-2); }\n.tal-part { font-size: 12px; padding: 1px 8px; border-radius: 999px;\n background: var(--sand, #f0ede8); color: var(--ink-2); }\n.tal-part-locateur { background: #fdf3e0; color: #8a5a00; }\n.tal-verdict { font-size: 12px; color: var(--ink-3); }\n.tal-tags { display: flex; flex-wrap: wrap; gap: 5px; margin: 5px 0 3px; }\n.tal-tag { font-size: 12px; padding: 1px 8px; border-radius: 999px;\n background: #fde8e8; color: #a12622; }\n.tal-ref { font-size: 12.5px; color: var(--ink-3); }\n\n\n/* ---- Registre des loyers v2 : tuiles, bande de position, barres ---- */\n.rdl-kpis { display: flex; flex-wrap: wrap; gap: 10px; margin: 2px 0 12px; }\n.rdl-kpi { flex: 1 1 90px; min-width: 90px; background: var(--surface-2, #f7f5f1);\n border-radius: 10px; padding: 10px 12px; }\n.rdl-kpi-v { display: block; font-size: 20px; font-weight: 700;\n letter-spacing: -0.02em; color: var(--navy); }\n.rdl-kpi-l { display: block; font-size: 11px; line-height: 1.35;\n color: var(--ink-3); margin-top: 2px; }\n.rdl-strip { width: 100%; height: auto; display: block; margin: 2px 0 4px; }\n.rdl-strip-track { fill: var(--surface-2, #f0ede8); }\n.rdl-strip-box { fill: var(--accent-soft, #fff1e6);\n stroke: var(--accent, #ff6a00); stroke-width: 1; }\n.rdl-strip-med { stroke: var(--ink-2, #4c4a45); stroke-width: 2; }\n.rdl-strip-me { stroke: var(--accent-deep, #cc5500); stroke-width: 2; }\n.rdl-strip-me-dot { fill: var(--accent-deep, #cc5500);\n stroke: var(--surface, #fff); stroke-width: 2; }\n.rdl-strip-lbl, .rdl-strip-axis { font-size: 10.5px; fill: var(--ink-3); }\n.rdl-strip-me-lbl { font-size: 11px; font-weight: 700;\n fill: var(--accent-deep, #cc5500); }\n.rdl-bars { width: 100%; height: auto; display: block; margin: 6px 0 2px; }\n.rdl-bar { fill: var(--accent, #ff6a00); opacity: 0.55; }\n.rdl-bar-on { fill: var(--accent-deep, #cc5500); opacity: 1; }\n.rdl-bar-val { font-size: 10.5px; fill: var(--ink-2, #4c4a45); }\n.rdl-bar-cat { font-size: 11px; fill: var(--ink-2, #4c4a45); }\n.rdl-bar-cat-on { font-weight: 700; fill: var(--ink, #1c1b18); }\n.rdl-bar-n { font-size: 9.5px; fill: var(--ink-3, #8a877f); }\n.rdl-bars-axe { stroke: var(--line, #e6e4df); stroke-width: 1; }\n.rdl-ecart { margin: 4px 0 8px; }\n.rdl-cap { caption-side: top; text-align: left; font-size: 13px; font-weight: 700; color: var(--navy); padding: 6px 0; }\n\n\n/* ---- Criminalité détaillée SPVM (bloc quartier) ---- */\n.q-crime { width: 100%; }\n.q-crime-cats { list-style: none; margin: 8px 0 0; padding: 0; }\n.q-crime-cats li { display: flex; align-items: center; gap: 8px;\n padding: 3px 0; font-size: 12.5px; }\n.q-crime-nom { flex: 0 0 46%; color: var(--ink-2); overflow: hidden;\n text-overflow: ellipsis; white-space: nowrap; }\n.q-crime-barre { flex: 1 1 auto; height: 10px; background: var(--surface-2, #f0ede8);\n border-radius: 5px; overflow: hidden; }\n.q-crime-barre i { display: block; height: 100%; border-radius: 5px;\n background: var(--accent, #ff6a00); opacity: 0.6; }\n.q-crime-n { flex: 0 0 52px; text-align: right; font-weight: 600;\n color: var(--ink); white-space: nowrap; }\n.q-crime-n small { font-weight: 400; color: var(--ink-3); }\n.q-crime-src { margin-top: 8px; }\n\n\n/* ---- Qualité de l'air (RSQAQ) + Essence à proximité ---- */\n.air-liste { list-style: none; margin: 10px 0 0; padding: 0; }\n.air-liste li { display: flex; align-items: center; gap: 8px;\n padding: 4px 0; font-size: 12.5px; }\n.air-nom { flex: 0 0 44%; color: var(--ink-2); overflow: hidden;\n text-overflow: ellipsis; white-space: nowrap; }\n.air-barre { flex: 1 1 auto; height: 10px; background: var(--surface-2, #f0ede8);\n border-radius: 5px; overflow: hidden; }\n.air-barre i { display: block; height: 100%; border-radius: 5px;\n background: #4d9e64; }\n.air-barre i.air-sur { background: #c96a1f; }\n.air-val { flex: 0 0 34%; text-align: right; font-weight: 600;\n color: var(--ink); white-space: nowrap; overflow: hidden;\n text-overflow: ellipsis; }\n.air-val small { font-weight: 400; color: var(--ink-3); }\n.air-val .air-ref { display: block; font-size: 10px; }\n.gaz-head th { text-align: left; font-size: 11px; color: var(--ink-3);\n font-weight: 600; padding: 2px 8px 2px 0; }\n.gaz-best { display: inline-block; margin-left: 6px; padding: 1px 7px;\n border-radius: 999px; background: #e7f4ea; color: #1e6b34;\n font-size: 10.5px; font-weight: 700; }\n.gaz-adr { display: block; font-size: 11px; color: var(--ink-3); }\n\n\n/* ---- Commerces et transport (fiche) ---- */\n.cm-grille { list-style: none; margin: 6px 0 0; padding: 0;\n display: grid; grid-template-columns: 1fr 1fr; gap: 4px 18px; }\n@media (max-width: 560px) { .cm-grille { grid-template-columns: 1fr; } }\n.cm-item { display: flex; align-items: center; gap: 9px; padding: 5px 0;\n border-bottom: 1px solid var(--line, #eeece7); min-width: 0; }\n.cm-ico { flex: 0 0 28px; }\n.cm-txt { flex: 1 1 auto; min-width: 0; display: flex; flex-direction: column; }\n.cm-nom { font-size: 13px; font-weight: 600; color: var(--ink, #222);\n white-space: nowrap; overflow: hidden; text-overflow: ellipsis; }\n.cm-poi { font-size: 11px; color: var(--ink-3, #8a877f);\n white-space: 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align-items: center; gap: 10px;\n font-size: 19px; letter-spacing: -0.015em; margin-bottom: 14px;\n}\n.f-bloc h2::before, .quartier h2::before {\n content: \"\"; flex: 0 0 9px; width: 9px; height: 9px;\n background: var(--accent); border: 1.5px solid var(--ink);\n box-shadow: 2px 2px 0 var(--ink);\n}\n.f-bloc h2::after, .quartier h2::after {\n content: \"\"; flex: 1 1 auto; height: 1.5px; min-width: 20px;\n background: var(--line);\n}\n\n/* --- Tuiles KPI : blanches, bord encre, ombre dure accent --- */\n.rdl-kpi, .kv .cell {\n background: var(--surface);\n border: 1.5px solid var(--ink);\n border-radius: var(--r-ctl);\n box-shadow: 3px 3px 0 var(--accent-soft, #fff1e6);\n}\n.rdl-kpi-v { font-family: var(--font-display); }\n.q-cell { box-shadow: 3px 3px 0 rgba(20, 24, 20, 0.1); border-radius: var(--r-ctl); }\n.q-val { font-size: 20px; }\n\n/* --- Tableaux : en-têtes mono, zébrure, survol accent --- */\n.rdl-table td { padding: 7px 8px 7px 0; }\n.rdl-table tbody tr:nth-child(even) 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& cie) : mono + point d'état --- */\n.zi-badge {\n display: inline-flex; align-items: center; gap: 6px;\n font-family: var(--font-mono); font-size: 10.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.06em;\n padding: 4px 10px; border: 1.5px solid currentColor;\n}\n.zi-badge::before {\n content: \"\"; width: 6px; height: 6px; border-radius: 50%;\n background: currentColor;\n}\n.gaz-best { border: 1px solid currentColor; }\n\n/* --- Historique TAL : chaque décision devient une mini-carte --- */\n.tal-liste { display: flex; flex-direction: column; gap: 8px; }\n.tal-liste li {\n border: 1px solid var(--line); border-left: 3px solid var(--accent, #ff6a00);\n border-top: 1px solid var(--line);\n border-radius: var(--r-ctl); padding: 9px 12px;\n background: var(--surface-2, #faf9f5);\n}\n.tal-part, .tal-tag {\n font-family: var(--font-mono); font-size: 10.5px; font-weight: 600;\n text-transform: uppercase; letter-spacing: 0.04em; padding: 2px 8px;\n}\n.tal-ref { font-family: var(--font-mono); font-size: 11px; }\n\n/* --- Notes de bas de bloc : filet pointillé --- */\n.f-bloc .fine, .quartier .fine {\n margin-top: 12px; padding-top: 9px;\n border-top: 1px dashed var(--line);\n}\n\n/* --- Listes à liseré (inondation) alignées sur le reste --- */\n.zi-liste li { padding: 6px 0; }\n\n/* ============================================================================\n Dossier d'intelligence locative — Coût réel, Historique Lou-Ka, Immeuble,\n Gestionnaire, Vie quotidienne en hiver\n ========================================================================== */\n\n/* --- Pastilles de statut de donnée (observed / estimated / …) --- */\n.st-pill {\n display: inline-block;\n font-family: var(--font-mono); font-size: 9.5px; font-weight: 700;\n text-transform: uppercase; letter-spacing: 0.06em;\n padding: 2px 7px; border: 1.5px solid currentColor; border-radius: 3px;\n white-space: nowrap; vertical-align: 1px;\n}\n.cr-poste .st-pill { margin-left: 8px; 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sCwIBtwAA4k/mx/O2v49JtvM0nsXWNf+Mr8iXehpNnPO7BIs1mzd8/133zUxavdc3wzU/d+Lk7+1WuXuHU+EWP29zpfGLmKfnZO2cHk44mHUz66TtnT9yr7/+w5V9frIviX767/+LHbb7S6fG37u2ecVj++Fz9oIcvf/bO2e+d7c+uh3nh+2+dHzYVAQJs2zYgcT9JtgFJtiXZBiTZ5n62JRkAsCTuV0rJzFd8hVd8xVd4RV6AzIwIQBLPZEASl9kGJFVeMNsiQLUIechsTavDKbZ35rPa0gjxTLZ5NhnW6/Wv/fqvX3vttcvl8tGPfNQNN9zwVV/7dbfccsvXf+M3rlarV3z5V7j22mt/+dd+7YPe/0k/+MM/cvHixWEYP/1TPuXDP/RDQ6r97Gj/YD7b9PIi4GnFbFOX7uRLX8mf8xQ+6bf4qU9gXPHw1+KWl2f3Tt7o0/j7X+SOx1FRNksYhQDbXCaJB7INgCRJttPMI/9sf4c7/3525+NYDWydZFxqfzn72x9D/MnFxTycCOiD7791/l1Pm88K29Xf8bTFNz+Fnc5pEvrg5+6cBY5Q4MddKl3wiX+91YW70J9d6GbhJz59VqUuSPwBf3psVrwo/sFb59udv/vpi63qEA8knsm2JEASYBuwzWW2ucw2l9nG5gqbyyTZjojlcrm/v6+QbSEAATi9vbO9mC9scz/bXGY7ImwDkoAqyTaX2ZbE/aRwjqZduHg0DNODj88efEw3PTjf9NExKcSEscTzcvZ9v7Gx8Tlf8AWhOHf+/Fd+6Zd897d963u8z/u+9hu84azvv+JLvuTa62/88A/5kA/7yI96wzd/s9d89dd4+MMeZly7bmOxCCmRXZlvY6iweyd//ZNW6BlP5Wtej1d9P9rIV782r/lhfurv6yc+hke/Aat9BN3MG8fJhrAtifvZlgQAkpAAkG3bQJrN6t+8r//kP51/wMOW1yyKL1wgFF1/77npm5+y8Vv3zbeq01xxvMuQ0k50YmbstACJtLc7MMg2s7DR6Vka2blRlGZeMLYBb84zweZYl4lO9G7mWSRJ4gqby2xzP0kAYJvnS+Iy80y2W2u11l/+lV/+pE/5pK3trWzJFSIU+wf7X/pFX/o2b/02rbVSijEgns02l9kGKs/JNlfYKKbNU7M7n/Ku7/r+b3Df977p8dui9qVr5M/t/e0bae/evOHFpMBGPEtEHB0evs5rvdZf/NEfSkKy3ff9sZ2dP/yd377jzjuvOXPmxIkTB3u7r/ByL/dbv/or+/v711xzzaW9vb7rDg8OgGbjZH6sPeK1u6c83juFux/HN72dCt4q/P1v6i9+0wuY4C//hIpn6I7vo4fG9Abv483TWh9aAmxLsg1Isg1Iykwwl0mSZJvLqvi6J29+760bG8UGQHDUdGnQVmfzbInSgICWgLjMBpTGNkaSEdAsANQM0Mz9NKYlAUZAMw9k2zZXSDwP2zwnSbYBSbZ5TraBUgrwpm/ypq/9Wq8NAIhnsb21uQWUUgABYMA8iyTbAFBt8zwkWRHDwfSy7zj7/e/6mje8rTzxEucPcN8GmIbFd77zMGZ7y8/vhgMrJNmWZBuw3XXdfD7nfpl5eHhYa33Ewx8+TdPh0VFIq9Wq7/trrrlmHMftra3MtA0AUnhaDW/06To4V/7mJ4TpqxEKthc+VlG422C2SZ25zphtUvr28NccX/MjGFeWuJ9tLrPNZbYBEM+XfaxjSi6mAAwQ4ljvZgziRSXJNi8CSTwP25IASZKQBNiSeABJtnlOtrnMNoDNZQJAEgDYns1ms9mMF8A2zyRAgMT9bHMFVECSbUASYBtAirbWLS+9frPPbT/2sdilBhjAZJkNb/PF5eaXimlFBM/D9jRNXGZbUiklM1erFRCSJCAzW2uSWmtcJsm2QTl5trV+9++O1/1YXbqLftPdnG7hbk63QTdDYYWiEmGFSu/SMRzKRrINSAJs8wCSuMIGJPFAUjMhAowlGcDNAsS/jiReKNuSuJ9tSVwmCbAtSRK2wTwHSVwmybYk25Jsc5kk25IAEPeTZBuwbZvnR5Ik2zyAAJAkCbANSKqAbS6zzf0kgeq0nF7nA/2Y14lb/yTXB0g4PdvOB79Sue4RXVsaCWwDtnl+JAG2AUk8J0mSbEuyzf1M0EbamDe+JDe/DDY2TjA2NhjbmCumlcYlCoNsSYBtSTyAJNvANE07Ozsv/tjH/uqv//rpU6fS5oUxiH+RjQRgI/GcbEviX0/S7qVLr/oqr7Kzvd1a4wFsc5ltwDZgm+dkGwAj8Twk8QLY5jLbAJJtSYBtSZIA25UXzDaKri25/mG+5cUVgY1EZpmWjEsjAJAE2AYk2QYASbZ5fmxLss39bAO2JdkGIwEalmBzhQAEgEHiWSQkGwDJNpfZ5jJJgG1AUmb2ff/Zn/EZT3v605/4pCcZbAPiORgAAWAQGABJtrlMPBeBAfNMAsAACACDADAIAIN4JoO4nwQ85tGP+tzP/Iy+75fLpSRAkm0AkGSb58e2JNuZOZ8vpmnisnEahXh+bEvifrYBScA4jYvForVmWxJgGwAqz49t7mfEuGZYmgdQIEmyDdjmfra5n21Akm1JgG1JtgHbgCSek20ewBJIkm0eSDyQzbPY5nnYliTJNiDp6OjopV7yJX7qx37053/xFw8PjySBeSaBQTybQQAgYQMGgQEQGASAJdkGgXkmAWCeTTybARAABkBgwGZzc+Mt3uzNHvrghxwcHkQEl9nmfrYBSbYlAbYl2QZsSxqG4aYbbzy+s/Wnf/Znr/gKr8C/3p/82Z+e2Nm+8cYbh2GQBNjmCtDB3nmeH0m2JdkGJNnmOUmyLck2IMk2z0mSbUm2JdkGJNnmhZIE2AYkAbZ5oSTZlmQbkGSb5yTJtiTbklrmrO/7+SYE/3N5WB2shyEkQJJtnpMk25JsS7INSLLN/SJitVr97C/84qW9g1orL4SNhI3EZdM0Hd/Zfss3f9PZbJaZgCTbgCTb2r90DpBkW5JBANiWBNiWZBuQBNiWZFsSYBuQBNgGJNmWZFuSbUmAbQCQBAC2uUwSYFsS9zMIbEsCbAOSANuSbEsyCADbkgDbkmwDkgDbkmxLAmwDkoDMzEwbsCTbkmxLAmxzhSQwYHOFJLCNBAgM2JJsA5JsA0gANpdJsg2SsI0EYCNhA5IA25JsSyqlcJkkwDYgybYk25JsSwJsA4AkALAN2K61ArfdfvtyuZQAYRskMAACYxAABoHxxsbmzTfdZDszAUmAbUm2Aa2OLnGFjWRbgGRbEpfZFhgk8fzYFiDZlsT9bEviOdmWxAPYlsRltiVhI2Ej8ULYSLYFSLYlcZltgUESz49tAZJtSdzPtiSek21JPIBtSVxmWxI2EjYSL4SNZFuAZFsSl9kWGCTx/NgWINmWxP1sS+I52ZbEA9kGYDabSeKZBEYCsLlCArCRMGBnrocBkGRbEpfZFhjq7u4uEs9iSwJsgxACc5mNBAACwCCwjYSNJJ7JNgACS7KNxBU2gAQIDBiEwDyTwDyTwFxmGyRhEM9mSwJsgxACc5mNxGUCwCCwjYSNJJ7JNgACS7KNxBU2gAQIDBiEwDyTwDyTwFxmGyRhEM9mSwJsgxACc5mNBAACwCCwjYSNJJ7JNgACS7KNxBU2gAQIDBgEgM0DGMQzGbABSebZBIAkwDYIITCX2XroIx+KDRgk2RYPIHGZbQGSbYFBEjZgECBhA0i2JWwAgUFgkMA8m8AgYQPmmcRzEiBsAyBAwgYMkmyLB5C4zLYAybbAIAkbMAiQsAEk2xI2gMAgMEhgnk1gkLAB80ziOQkQtgEQIGEDBkm2xQNIXGZbgGRbYJCEDRgESNgAkm0JG0BgEBgkMM8mMEjYgHkm8TwkbAMgQMIGDJJsiweQuMy2oO7u7kqyDUiyDUiyDSBhA5IMgMA2z0OSAZsrJGwuk8RltgGQBGAbJGEbQMIGJAG2eR6SbAOSbAOSbAOSbANI2IAkAyCwzfOQZMDmCgmbyyRxmW0AJAHYBknYBpCwAUmAbZ6HJNuAJNuAJNuAJNsAEjYgyQAIbPM8JBmwuULC5jJJXGYbAEkAtkEStgEkbEASYJvnIck2IMk2IMk2IMk2gIQNIAG11ioJWxFAZgKSeMFsS+Iy25J4TrYlcZltSdhIXGZbEs+PbUm2JfF82Ui2JXE/SbZtS+IFsC2Jy2xL4jnZlsRltiVhIwGAbUk8P7Yl2ZbE82Uj2ZbE/WwDknjBbEviMtuSeE62JXGZbUnYSFxmWxL3k2QbAGxLsi2J58tGsi2J+9kGJPG8oGxub0pCysxxHEspkiTZBiJCkm0gIgDbXGZbUkRIsm1bkm0gIgDbkiLCNg9gm+dkmwewzf1sA7Z5TpJsAxExDIPtUgr3sx0RgG1Jkmzb5jLbkgDbgCTANhARXCZJEbYBwDbPyTYPYJv72QZs8/xEBJdFhCTbQETYBiKCy2xHBGAbsM1lkrjMdkQAtiMCsC0pIgDbkiTZlmR7GIaIAEJhDEiyzWW2AduSJNkGIkKSbUmSbAMRIcm2JEmAbaDMN+attXEcd7Z3HnTLg86dPzcO42q1qrUCR0dHq/Wq1mr74OAAKKVwWUSM43h0dNRaK6VExHq9BiQdHh5mZq11HMfValVrlcT9JPH8SOIySdxPEiCJB8jMcRxLKZIODg8edMuDtre2z184bxuYpsn24eFhZtZah2E4Wh6VUiKCyyRN07RarWqtETFN0ziOXde11g4PDyXVWler1Wq16rpOEiCJ50cSl0nifpIASTyAbUmZeXBwYLvWenR0tF6va62SlqslEBFHyyNJ0zQBh4eHtmutgCRJ0zRN05SZLVsoDg4OgIhYrVZAZrbWDg8P18O61joMw3K5rLVO09T3/cMf/vDz588Dy+WylAIMw1BK4TJJgKT1er1cLruuy8yjo6NxHLuuG8fx6OiolAIcHR2t1+uu61prh4eHERERQHnQQx504sSJ2Wz2Fm/2Ftdce81TnvKUl3rJl3qJl3iJc+fPRcRrvsZrvviLvfj5C+f7vn+D13+DzLx48WIpRdIwDLfcfMtrvMZrnD51+t777h2G4dGPfrSk9Xr9Bq//Btvb23feeeeNN974Mi/9MmfPnm2tSeI52ZbEZZK4TCCeybYknlNmbmxsPPhBD97d3W2tPeqRj3qzN3mzcRwPjw5Pnz4NXHPNNdtb22/4+m947PixO++888EPfvCrvcqr7e7uLpdLSZJaa9ddd93LvPTLnDt3brlcXnPmmhtuuOG+++47c+bM67z266yH9fnz51/qJV/qZV76Ze68685pmiRxP9uSuEwS9xMIBLYl8TwkZeZisXjDN3jDzc3N++677zVe/TUe+9jH3nf2vtVq9VIv9VIlyuHh4Su8/Cu01k6ePFlrff3Xe/3ZbHbf2ftKKZLGcbz+uuuvv/76nZ2dnZ2d9Xr9hm/whgrt7u6+zEu/TERsbW9dd+11r/Var/XIhz/y3vvufbHHvtgrvuIr3nf2vq7r3uxN3uwRD3/Ek578pNbaK73SK128eLGU8pCHPOTixYuSbEuS1Fp7zGMe88qv9Mp33H7H8RPHX/3VXv1BtzzojjvuuP6661/3dV/37Nmzfd+/2qu+2iMf+ci77757a2vrDV7/DZbL5aVLl0op8YiHP+IlXvwlHvuYx25tbf3N3/zNbDZ7uZd7uUc98lGv+RqvefrU6Vd6xVe6dOnSMAxv8PpvcM011zzqkY+KCNtARBweHb7MS73Mgx70oL29vQc/+MGv81qvc999973B67/BDdff8Mqv9MoPftCDH/OYx7zRG77Rzs5Oa00Sz0kSl0kCgGbWybph83xJmqbp+PHjr/Par2O7tfZqr/Zq586de+rTnnri+IlXf9VXf8mXeMkXe8yL7e/vv9zLvtx8Nq+1vv3bvv2xY8dOnTyVTkm2Jb30S730G73hG+3s7LTW3uat3+b4seOr1er1Xvf1rrv2utd6jdd6+MMe/hqv/hpnzpx57dd87XEcJXE/SVwmiQcYknUyJBLm+YiI5Wr5uq/zutdec+2xnWMnT558qZd6qeuvv/7N3+zNbb/LO77LK7zCK2Tme7z7e7zxG77xS7/kSz/i4Y94+MMe/vqv9/oPftCD1+t1RIzjePPNN7/bO7/b+7/v+990402v/mqv/pCHPOS1X+u1Txw/8Z7v/p6v9Zqv9TIv/TLnL5x/6Zd86a2trWmaXv7lX/7EiRNv8eZv8fCHPfyGG274y7/6y9baqVOn3uc93+emG2/a2tx63dd+3cwEJAGttcVi8ahHPurGG258/dd//d3d3cc+5rGPfMQjI+LN3+zNF4vFW7zFWxweHj7oQQ96mZd6mXEc3/LN33JjY+NN3vhNNjY2MjOWy6XT0zTtHNvZ3NwchsH29vb2MAxTm2qtm5ubtvu+/5mf+Zkf/4kfL6XYtl1rvfvuu//yr/9ytVptbW296Ru/6dmzZx/5yEeeO39uY2Pj1KlTtn/lV3/l7/7+7zC2eQFsAwKbefCRj1i+8fXDZASSeH6cPloeLVfLzGxTO3X61MZi47bbb7P96Ec9+tZn3HrPvff8zd/+zVOe8pSjo6M/+uM/2tzYXK1XQlwWEb/8K7/8D//wD8vl8qVf6qWvu+66xzzmMQ972MNs33333RGRmUdHRzfdeJOxbZ6Hbe4nGJNH70yf+pijWzZzsoLnw3YtdTFf3HnXnfPFXGhjsfGgWx70xCc98Ybrb9jb3zt+7PjGxsbTnv60G264IUoAf/zHf/zkpzz5xIkTrTUgIg4PDw8OD7Ll0eHR8WPHf+M3fuPChQs7OztPeepTbnnQLaG47bbb/uHx//BXf/1Xe3t7fd8/8uGPvPXWW9fr9ebm5s7OztHR0UMf8tB77r3nhhtusL1cLlerVWZyWUSM4/jDP/LD95297+577j5//vxf/tVf7u/vS7pw8cINN9ywmC8u7l7867/+63Pnz3W1O3f+3LXXXLuxsTFNExCPePgjhnHo+/7c2XP33HtP13WhuO22266/7vr5bL5cLZ/xjGdkS+A1Xv013ugN38i2JEnDMLzyK7/y/v7+LQ+65fSp0/sH+y/zMi/zqq/8qr/+679+ae/S7bff/rSnP+2Wm295+MMefubMGV4wSVw2mhsW7Z1uWb3J9cMsMC+AQFx/3fWPftSjt7a2uq677bbbDg4ODg4Oalcf9chH3fqMW6+55ppHPvKRN9xww2KxGKextfaar/6a4zgCQpl53XXXPeIRjzh58uSpU6ee/OQnH9s5ds0110zjdOzYsdl89ozbnvEHf/QHs9nsj/74j/q+t81zksSzuVmvdHJ694esXvr4NKV4fiRl5jiNt9xyy0u/1EtvbW3tH+wvl8txGB/96EfXWq+//voH3fKg/b39YRge/rCHt9Ze8iVf8sEPevDBwUGUsN2yHT9+/K//5q9//Td+/djxY0fLo1d4hVc4fvx4Oi9duhSKW265BThx/MT29nbXdevVevfSLqbru729vTvuvKPv+0c/+tHTND3m0Y9ZLBbXXXfdYx7zmO2tbdsAsF6vP+SDPuRhD33Y3/7t377SK72S7WuvvfbEiRM/+3M/u721/Ru/+RuPffRjNzY2tra3br755p/+mZ/e2Nj4sz/7s8PDw4goL/cKL/cHf/gHy+XywQ9+8KmTp572tKfN5/OTp07+7u/+7rlz56677roHPehBd9xxx2233/YSL/ESd9555x133hERklpri/niFV7+Ff70z/70qU996l//zV8//dan33fffYeHh/PZ/I//5I/HcXyZl3qZY8eOrVarO+64g39JEeeHeNyl+hv39ueGKOIK24Ak24CkaZquueaaRz7ikffec++lvUuPftSjI+K2225bD+v7zt73D//wDw99yENvuPGG5XL59Fuf/oiHP2Jre+u3fvu3jo6OJAHAS73kS+3s7EzT9Cd/+icPftCDz5079wd/+AeHR4cPf/jD/+zP/uyuu+46c/rM4x//+DvuvKPrOl4oIYlbD8tfXux+71wHhLANSLINSAKA8+fPP+hBD/qTP/2Tp9/69KOjo7/8679czBeHR4e/+mu/evvtt6+H9dmzZ5/61Kfec889z7jtGY94+COe8MQn/O3f/W2tlfvt7e3t7u5e2rv01Kc99TGPeszf/d3fPf3Wp6+H9ZOf/ORz58/ddfddwD333rNcLodh+LO/+LP5fH7P3ffccP0NN9xww913371/sP/zv/Dzh0eH5y+cP3bs2KMe+ah77733wsULpRTbtdYHP+jBiHEY77333ld55Vf5h8f9w+Me97hTp07de9+9f/d3f1dqecVXfMXbb7v9L//qL4/tHDs4PPjzv/jz2lVAGzsbGxsbrbWjo6NSyubm5nK5nKZpsViUUg4PD4GNjY3MXC6Xfd/P53PbkiSt1+vVajWbzWazmaRhGGz3fb9arfq+j4jlcrler/u+XywWkrjMtiTANiAJsC0JWDUVuQuDbEviedg+ODiwvbGxMU3Ter3u+35jY2O9Xo/juLW1NQzD4eFh3/cbGxtHR0ettfl83ve9bQBYrpbr1Xo2m83n88OjQ6HNzc1xHJfL5Ww2WywWq9XK9nw+z0xJtiUBtgFJgG1JXJZm1VhUhEG8AFObjo6O+q6fzWbDMEREZgJd17XWgMwEMrPrusPDw77vF4sFl0kahgGQZDsiDg8P+1k/62fDMACZubGxsVqtaq2llPV6XUqZpqnWenR0FBGLxWIcx/l8vl6va61HR0fp3NzYrLUCgO2DgwPb8/k8Io6OjrquWywWrbVxHBeLxTRNR0dHUWJzYzMzh2GYz+cAoOtuui4zgVKK7cyMCEmZabuUAmQmEBGZaZsHKKVkpm1AkqTMlATYjoiIyMzMBGxL4oUSBox4oUopQGYCEWE7MyVJaq1FRETYzsxQKJSZtgHbkiJCku3MLKXYzkxJEZGZtiUBtm1L4l/mkNL8i0opmWlbEvezLYn7SXI6StjOTNuSAEk8QETYzkxJkoDWWiklM4GIsA0AEQG01iTZjojMjAhJmWmb+5UoiMy0HRFAa01SRGQmEBFAZgIRkZkAoGtvvJYHsC2JF8o2IAmwLcm2JNuSAGyDJMC2AInLbEviudhIPIBtSYBtLpME2JbEc7ItiRfKNiAJsC3JtiTbkgBsgyTAtgCJy2xL4rnYSDyAbUmAbS6TBNiWxHOyLYkXyjYgCbAtybYk25K4zLYkwLYAictsS+K52Eg8gG1JgG0ukwTYlsRzsi2J5wvqNE22AUlcZpv7SQJscz9JtrlMEgDYlmTABpCwQWBAkm1JtpEEtpGweSAJGwAk2eZ5SRgJ24AkALDN/SQBtrmfJNtcJonLbEsyYANI2CAwIMm2JNtIAttI2DyQhM1lkmzzvCSMhG1AEpfZ5n6SANvcT5JtLpMEALYlGbABJGwQGJBkW5JtJIFtJGweSMIGAEm2eV4SRsI2IAkAbHM/SYBtAKjHdnYMAoSNJGyDuEyyDUgCbAsMkrC5zCAukwBsLjOI+0nYBkmAbXGZAGwkYQMGQBI2YBAgYQNI2IBBgLCRhG0Ql0m2AUmAbYFBEjYAGMRlEoANAAZxPwnbIAmwLS4TgI0kbMAASMIGDAIkbAAJGzAIEDaSsA3iMsk2IAmwLTBIwuYyg7hMArC5zCDuJ2EbJAG2xWUCsJGEDRgASdiAQYCEDSBhAwYBwkYStkFcJtkGJAG69+7bzP1sJEAAmMsMQgAYsJGwkbAl2ZYEAOY5CAwCg8A2gAQIDOKZbBAANpLAIABsS7INIAECcz8bCRAABgCDEAAGbCRsJGxJtiVxmXkOAoPAILANIAECg3gmGwSAjSQwCADbkmwDSIDA3M9GAgSAucwgBIABGwkbCVuSbUkAYJ6DwCAwCGwDSIDAIJ7JBgFgIwkMAsC2JNsAEiAw97ORAAFgADAIAaDl4a4kLrMtybYkwLYkbCQA2yAB4oFsgyQA2yAJwDZIAmwDAiTbAiRsJDDItiQewLYkwLYkAAwCbEviMtuSbEsCbEvCRgKwDRIgHsg2SAKwDZIAbIMkwDYgQLItQMJGAoNsS+IBbEsCbEsCwCDAtiQusy3JtiTAtiRsJADbIAHigWyDJADbIAnANkgCbAMCJNsCJGwkMMi2JB7AtiTAtiQADAJsS+Iy25JsSwJsS8JGArBra822JC6zzWWSuMyALYnLbEsCbAOSbAOSANuSbAOAJNuAJMA2AEgCANvcT5JtSba5TJJtJPFMtiUBtiVxmW0ukwQABmxJXGZbEmAbkGQbkATYlmSbyyTZBiQBtrlMEpfZ5n6SbEuyzWWSbCOJZ7ItCbAtictsc5kkLjNgS+Iy25IA24Ak24AkwLYk2wAgyTYgCbANAJIAwDb3k2Rbkm0uk2QbSTyTbUmAbUlcZpvLJAGAAVuSbR3snQck2eY5SQJsc5kkwDb3k2SbF0wSYBuQZJv7SQJsc5kk21wmyTYgyTb3k8RltgFJtnlOkgDbACAJsM39JNnmBZME2AYk2eZ+kgDbXCbJNpdJsg1Iss39JHGZbUCSbZ6TJMA2l0kCbHM/SbZ5wSQBtgFJtrmfJMA2l0myzWWSbAOSbHM/SVxmG5Bkm+ckCbANAJJ0sHee+0kCbAOSbPM8JNnm30eSbe4nCbDN85BkG5AE2OY5SQJsA5Js8zwk2ebfR5Jt7icJsM3zkGQbkATY5jlJAmwDkmzzPCTZ5t9Hkm3uJwmwzfOQZBuQBNjmOUkCbAOSbPNAUCXZlgTY5n62eR6SbPMvkWSbB5AE2JYE2AYk2eYy2zw/tgFJgG0uk2RbEmCb+9nmeUiyzb9Ekm0eQBJgWxJgG5Bkm8ts8/zYBiQBtrlMkm1JgG3uZ5vnIck2/xJJtnkASYBtSYBtQJJtLrPN82MbkATY5jJJtiUBtrmfbZ4L6HD/AmCb50cSYBuQZJv7SbLNA0iyzXOSZJsXmSTb3E8SYJsHkATY5vmRBNgGJNnmfpJs8wCSbPOcJNnmRSbJNveTBNjmASQBtnl+JAG2AUm2uZ8k2zyAJNs8J0m2eZFJss39JAG2eQBJgG2eH0mAbQAIwDYvmG0usy2J+9mWxL/ENv8mkgDbtnketnnBbAOAbUncz7Yk/iW2+TeRBNi2zfOwzQtmm8tsS+J+tiXxL7HNv4kkwLZtnodtXjDbXAFhG5AESJLE/STZ5gWzDUji+ZHEA0iSxP0k8fzYBiTxAJIkAZIk2QYkAZIkcT9JtnnBbAOSeH4k8QCSJHE/STw/tgFJPIAkSYAkSbYBSYAkSdxPkm1eMNuAJJ4fSTyAJEncTxLPj21AEg8gSRIgSZJtQBIgSRL3k2SbZwEd7J3nX08SYJsHkGSbKwTmCkm2+deQZFuSbUm2+XeTBNjmASTZlgQAtgFJgG3+NSTZlmRbkm3+3SQBtnkASbYlcZltQBJgm38NSbYl2ZZkm38bCB7APJMkXgBjwLZtnpNtSVwmxGW2bfOvZBuwLck2D2Cb+5lnss1ltnkeBtuZaRuwbZvLMhOwnZm2bUuynZmAJF5ktgHbknjRSAIASVwmiQewbZsHkGRbkm3bACDJtm1AEi8y24BtSbxoJHGZJC6TBNRaq9NRYpqmEgGWYpqmiLAtyTZQSrHdWqulOp1OLpNkW1JIaWMiwrZtSZJCkU5AAKQtybZtSYBtnock21xWSslM20BESGqtlQjbSLYjopYyTlNmdl1XIlrmNE211taaJEklAsjMtGut2OM0RUSJMk6j7a7rIsKZ4zSVUiJimibbPA9JtnkekmxzP0m2uZ8k2zyAJNuAJNs8J0m2uZ8k24BtwLYkwDZgm/vZ5nlIss3zkGSb+0myzf0k2eYBJNkGJNnmWaB8wAe83x/+2Z+dPXfu5htveMrTb/3Tv/zLrtbNzc1/eMITFvP505/xjK7r/vBP//TOu+8+deLEbXfe8Sd/8ZfPuOP27a2tne2dzJTUsv3Rn//ZPzzxiecuXLjummv+7K/+6qm3Pt04FL//p39y5z33nDl9+klPfcr+4eEdd99Votx3/tyf//VfX7y0e/rUqVqrbS6TJAmQZBuQlJkXL12az2ZAKWX/YP/g8HBra+vS3l46V6uVYX9///a77tqYL/quO3vu3B1337Ue1rPZ/OKl3RJltV6v1+s777nn/MULaWfmHXfddWlvb3NjY3fv0t333bu52Ki1nj1//va77lyulsd2jl3YvXjPfWe3t7YiApAkCYgI25J4HpJs85wkSeIFk8TzkMQDSJJkm8skSZJkmxdMkiTuJ4nnIck2z0mSJF4wSTwPSfEPT3riDddfd/LkiYPDo6c949ZHPvzhT3raU9fr9b1nzy5Xq3MXzu9eujSfzzYW87/5h79/ycc8dtb31545c+3pM9M0SbJdS32xRz16msYXf/SjbZ+7cOGhD3rwTTfccHF3d2O+mM9nT3jyk46Ojv7hiU94/JOeNLV27vyF7c2tRz3s4bUU21wWEeM4ttZKKbYlAZKGcfzzv/7r1hrQ1fpXf/f3v/vHfzSbzZ74lKfcc+99T3jKU86dP/f3j3/8Pffd+/t/+sfDOP7l3/3t3v5+pg8ODn71t37rGXfc8cSnPqVEedwTn/hXf/d30zSC//Jv/+Yptz69lPKXf/u3T3rqU//wz/4sM//ib/5m/+DA5uDw8I///M/vuufu2+68s6vVYNs2sF6vSylcJkkSl0myLUkSIIn72eYySdxPEgDYBiQBkiQBtnnBbNu2DUgCJEkCJEmSJMm2bUCSJC6TJInLJNmWJAmQxP1sc5kk7ieJy2wDkgBJkgDbkelrz1zzEi/2UqWUEuWGa6+ttUxt6rtuPptJms9md9973x133f3Ihz2MiO3tra3Nra7rbNsGJG1tbm5ubG5ubESExDPuuOPg8GhjY3HXvffcedfdD3/IQ7uuO3X8xInjxyV1XXfuwoX7zp2TZJvLJO0fHPzJX/7FMAySbPNMRhgi4vDoSGJrY3Nvb6+UAgilDSzmC6fTljSM46zvo8R8Nr/nvvswp85c86iHPfxhD3rIg26+5eTxE7fceONDb3nQfD4HXu0VX6llO1ouI2IYhr7r5rNZrXVzY+OGa68dp0k8Uy3l75/4hKfeemstxbZt24Ak24Bt24BtnpMk29zPNg9gW5Jt2zwnSYBtQBLPyTZg2zZg27Zt24AkSYBt24Bt24Ak24Bt24BtnpMk29zPNg9gW5Jt24Ck6PvuyU976u/94e9mZmb+wxOfmC035otxGp/0tKcu5vNhHK85fer4sZ2joyXSer0exsE8h6m15WrVWrPdWt50ww3z2ezw8Oja02eOH9tZrlZHR0ePesQjrjl95mi5nKbxxPHjJ44fa61xmaRpmq695prVan3Xvfd0tdrmCoMpEbWUg8PDcxcuXLy0e/b8OUkts2UTihJPe8atp0+d3N7amlo7efzExmIxjtOZU6cODg9W6xXkelgPwzAOg+2ptalN2ODVatVakwScPH5iPp+n/XIv9dK7l/b+6u//ru9724DtiLjh2uue8vSnpS1JEiDJNi+AbQCwzfOQxHOSxP0kcZltLrPN/SRxmSReANu2bXM/SYAk27wAtrnMNs9DEs9JEmC7fMWXfvHZ8xeObW/fdP31i8Xi7Plzj3nko04eP9513f7BwYs96tG11mPbO9dec+0wDCePHWuZx7d35vN52uLZuq4eP3aslDJN0/mLF0qpJ44dO7azfd2Za4ZxPHni+ObGZt91W5ubi/ni4qVLR8vlNadPl1K4rOu6+86ea609+uEPn1pKXGH7CU958q23315rOTg82txYPOimmy9e2n3wzTf/7eP+AXjMIx551z33vNxLvtQz7rzz+muuuf2uuw4ODxTqu26apq7vhmF4+MMeft99903T9OBbbrn9rjv/9nGPOzg8vOXGm+64664nP+1pZ06fesgttzztGbceHh0BW5ubf/G3fzOO03Vnzpw5daplCiQhPf222x7x0IdubW62TB5AkiQeQBIvlCT+o0niMkncT5IknockSTyAJF4oSbwAknR0cLHve2euh6GW0nXdMI7TNHVd19W6Wq8lRYTtiBjGsa817WmaIsI2IAnoah2nyfZsNouIaRzTloStCOyWGRG2BV3fO3M9DFxmW1JrrdZq2zb3kzQMw3oY+q6rtUZERAzDMJvNDo+Oaq191w3jWEuZpqmU0jKPjo5qrYvFPNMhpV1Laa3Z7rpuPQzTNAHz2axlDsOwubEhaRiG5WpVStne2lqv16v1+tjOTmtNkm0uM9RSWmuSbPOCSQJsA5IA24Ak24Ak2zwnSbYlAba5TJJtQJJtQJJtSYBtQBLPyTb3k8RltnnBJAG2AUmAbUCSbUCSbZ6TJNuSdLB33jYgybYhJEm2bUviMtuSJGWmJJ6HbUmAbS6TxGW2AUncL22BJEm2JdmWZBsAJNnmsogIKW3bgG1JtktE2rYl2Y4I20CJsJ0297MtCbAdkiKA1pqkiGitARERkqG1FpIiWmuAJMC2JMC2JNuSbPMAkmwDgCTbgCTbXCbJNs9Jkm0eQJJtXmSSbPMAkgDbgCQusy3JNg8gyTaXSbINSLLNZZJs85wk2eYBJOlg7zwPIMk2IMk2IMk2DyDJNv8akmxzmSTANpdJsi0JsM2/RFLa4vmQZJv/IJJsA4AkwDYASLItCbDN85AE2AYASbZ5AEm2AUm2AUm2eQBJtvnXkGSbyyQBtrlMkm1JgG2ehyTANpdJss0DSLINSLINSLINAMEDSLLNZba5zLYkHsA2L4AkSZJ4TrZ5fiTZ5jLbgCQuk8T9JHE/2+LZJHE/29xPEi8aSZIk8Zxs8/xIsg0AtgFJACAJAGzzALZ5AEm2ucw2l9mWxAPY5gWQJEkSz8k2z48k21xmG5DEZZK4zDYPYJsHkGSby2wDgG1JABA8J0mSuEwSl9nmeUiSxANIsm2byyTxAtiWJMk2l9nmMts8D9u8YJIkcZkkLrPN85AkiQeQZNs2AEjiBbAtSZJtLrPNZbZ5HrZ5wSRJ4jJJXGab5yFJEg8gybZtLpPEC2BbkiTbXGaby2zzPGzzgkmSxGWSuMw2AAQgifvZ5gWTBACSbHOZJEmAbS6zzfOQxAPYBiRxP0k8gG1J3E+SJO4nifvZ5gWTxGWSbAOAJEmAbS6zzfOQxAPYBiRxP0k8gG1J3E+SJO4nifvZ5gWTBACSbHOZJEmAbS6zzfOQxAPYBiRxP0k8gG1J3E+SJO4nifvZ5gUBHeydty0JMGBL4l8iyTYPYFsSz8MgACTZ5oWyLQkwiGeTZJsHsI0knsm2JMC2JJ6HbUn8K0myzWW2AUmSbNuWxHOyLUkSYJvLDIB4kRjE82FbEpfZlsQDSLLNZZJs8zwk2eYFkATY5t8GQtKs70sE0NU6m80iApBUawUk8Zwk2Y6IiAAASV3XAZJKKZJKKZK6rpv3fYkC2OY5Saq19n0fEbZLKX3fA0BXa991QEREhG3uJ0nSrO/7ruu6DoiIruuAiJj1fS0FiIiI4LJSynw267qOyyQBkngASVwWEREBALZLKZKAruvms1lXq+1Symw2AyIipIiICGA2m5VSbNvmfn2ts74HJEWEpBIFkMRlJSIiSimSaimSSilASLVWQNKs77taAUmz2ayWAkgCJNnmfrZ5TpIA2zw/kgDbtnkASTwPSdxPkiSugPKpn/KJz7jjDsNiPr/3vvvuvu/ejcWi7/v1en3+4sWNxYIHkAQAEXFweDBO06zvgcy89+zZzY0N2xcvXeq7bvfSpa7WO++++5777i21LuZz21wmicsk3Xfu3N333rNYLBaz2fmLF+85e/bY9nYp5b5z585fvHDi2LGDo6P1ej2fzWxLAiS1bM+4447dS5d2L106trOzXK129/a2NjeXq+Vtd95he3tzc//gYD0M89kM2L106fa77tw/PNjZ2pZkG5BkG5DE/SLi8OhovV7PZzPbwO6lS33fR8S99913x913jVPb2d6+uLt71733Hj927Gi5HMZhPQxtmrque/ptt4VYLBa2AUnAnffcc+nS7s729jiOB4eHwOHyaDGf2wYi4tLeXmYeHB7WWvf292spl/b35rPZOE3nL1zY3NgYx/G2u+48Wq6O7ewcLZe33Xmn7c2NjdaaJEk8P5K4TBL/EkncTxIgiedHEs8Lyhu/2Zvcfd+9h4dHJ44f/+O/+Iuptafc+vSHP+Qht91xx2/83u8++hGP6LsuMyVxP9vz2fxvH/e4/cPDG6+7zvbZ8+d/4dd+7WEPeYikv/77v5+m6c67797e2vrTv/zLk8dPzOfzzY0N24Ak24Cklvl7f/LHreWtt992+tTJP/nLv7zv3Nm0Z13/J3/5l2fPn1vMF7uXLt1x110PvuWWcRwlAZIwT3vGrX/993+3sdh40M03//3jH/dHf/5nL/MSL/mUpz3t9rvuuvvee7a3ts5dOH/nPXc/6Oabbf/JX/z5aj1sLjZ2trclcb+u6/q+t20bsD2bzZ78tKfec999D77llnEcgd/+oz+8+YYbS8Tv/vEfLRYbmxuLiPKHf/ZnFy5eiIi9vb2Dw8PdS3vL1ershfNPedrT77r3nhuvu77WCpSI9Xr9e3/8Rxd2Ly2Xy/ls9rgnPrHW+tRbb33Ygx88ThMw6/s/++u/2lhsPOHJTz514vhf/t3fnTh+/C//9m8ffPMtd95996/+9m+9xGMfe+/Zs4974hMv7l7KzIPDg3944hPuue++zY3N48eOtWzcTxIgCZBkmweQBEiSxP0kSZJkm8skAZIASdxPkiQukySJB4LY2tzMzFtuuqnve4mdra3Vet1a2z84uO7MNfedO1dLASTxHIwADFHK+d2L11137dnz5/q+P3fh/F/93d899lGPSjudmbmYzTITkGRbEpfZLhE7W5vjNF3YvbSzvf1SL/7ie/v75y5evOG6ax/ziEecv3C+lEBgG2xLsl1rfdmXfKnrrrn25V7qpaZpWq5WZ06dOnfhQq11HEebrusA8Swap7Hvu1KKbUmApDvvvvtxT3ziar2OCAAQgLjMWNKjH/6Irqu2bcZp3FhsHBwezmazN3+DN3z4Qx6Szic99WlPufXptdYLF3df7qVeaj6bHxwd1VIMwNTa8Z2dV3+lVzx38cLUpighCTD3E8Bf/d3fnbtwvtYKCCFl5t7BwXXXXHP23PlSStd1fd9N0zRN7dEPf8RDH/Sge8+eraVgJPGcJNmWxPOwbRuQxGW2bQOSANu2eQBJkmzb5jLbPBeIG66/7hEPedgf/dmfHR4etsyDo8PXeOVXlnT7XXcdHB3ee/a+iABaazwXI1FKaa3ddc89h4dHd997b2tt1vdbm5t7BweCvutPnjgREZKA1pp4NknjOB0cHb3aK7zifNYPwzisB9shDeO4HkYjG0EpRQDYBmwvV6thHIZhWK5W99x3397e/n1nz0ra3tyczfqLly5JAkqEJPCx7Z3NjU3bgG1AsFyt9vb3nYkNAAZjiYgQAh7xkId0tcvMUsqpEyf6vgcy8+Dw8ODwMNPHtrd3trYyE1iv11ObBAaBQaJlOzxaOi1Fm5rtzBT3M06fOnli1s9sbGcmZhzHO+++++Dw8J777i0Re3v7Z8+de9iDHzyO4zRN6/UgcYVtLrMN2LYNAJIkcZltHsA2YJsHkAQAtm3bBmxzP0lcZhuQxBUQt91x55Of/tTjx3ZKKZuLjVd46Ze55tTpCxcvbm1tvuarvOr+wYHhcU964uOe9KTZbGZbEmDTdfXxT3rSb//B71+4eLFEvO6rv/rU8vDo6MSx4y/1Yi/+tFufjjQMw9OeceuF3d2u1j/8sz89e/58rTUzuczpzc2NV3jplzm2vXNsZ2ecpr953D9cd+aaa8+cuXDh4hOf+pQbr7++lHj67bf9ym//1qX9/VIK9wup1q7runPnz1935ppXeYVX2L10KRQXL10ahnFrY6Pruqffdtuv/PZvXdrb67v+3rP3PeOOO1prkrgs7Uc+9KGv8vIvv5jP0wYA27N+9vTbbvvV3/6tS3t7pZRhHG1LsvP2O++88+67Tx4/LvzLv/WbF3YvdrVed8011565xvZN11//F3/7N6HY2d5urXFZLXVv/+BP/vIvbrrhhjOnTqX9D0984oNuuqllIgBDqeWWG2/a2d6O0E033PDHf/7nZ06eGKdpY2PxWq/6akdHy8Ojo0c+7KGPeOjDnvaMZ2xvbf3DE59wz9n7brnp5nEcJfGcJEkCbNu2zQsmCZAE2OYFsA0AtnkA21wBOjq4uLe3v1jMu64bhqGUIikzga7r1uv1bDb7oz/7s4c95CHXnjkzTRMgCWiZq9XK9nw2Q+q7bhiGiGiZXa3jOJZS1sOwHoatjQ3bf/QXf/6qL/8KtVbb3G9qLSRJpZRxHNfDemtzC1iv11Obtja3pmlardettY3FopRim/u11mqtU5siSi1lPQwl4mi57LpuYz4fp2m1XrfWNhYL28vVStLmxgYPYNt2RPAAtlfrdWttsVjUUmxz2TCOq9Wq7/uNxWIcx9V6vbO9PY4jYCzUdd3e/v58Pu9qzUxJgO31MNjeWCyAaZrWw7C5sZGZ3K+1ppDTpZSIODg83FgsbBu6WodhkGQIqbVWSlkul7PZrO/71hoPIMk2z0OSbV4EkgDbkmxzmSTbgCTb3E+Sba4AHeydL6Vkpm1JtiVxme2IyEzbpZTMlATYBiRFhKBlArYjwjZgOySDpIjI1lqmJEm2JdmWxGW2JdmOCEmtNSAiJLXWJIUkKe3M5AEk2RYg2Y4I2xFhOzMlRQSQmUIKYacNALYBSYBtnlMpBchM2wAgSVJEOLNlSoqI1pok7me7lJKZtgFJgO2IELRMQJKk1pokSYBtSdzPdolIGwAys0SY51BKaa2lLV4YSbYl2eYySbYl2QYASba5nyTANi+AJMA295NkG9DB3nnAtiRJAGAbkGQbkGRbEmCbyyTZ5n6SbAOSbAOSbAOAJMA2IMk2IMk2/1a2JUmyzYtGkm3uJwmwLck2IMk295NkG5Bkm+chyTaXSbLN/STZ5jnZliQJsA1Iss0LJsk295NkG5BkG5BkW5JtQJJtQJJtQJJt7ifJNgBIss39JNnm+ZEE2AYkAba5n6QKAJK4n20usy3Jtm0kwDYASOI52eZ+kgDb3M8297PNZba5nyTbkgDbPD+SANtcJonLJNnmfpJsA5IA21wmiedkm/tJAmzzALYBwDbPQ5JtSYBt2zyAbUASYBsAJPGcbAOSbAOSANsAIInnZJv7SQJsA7a5zDaX2eYy29xPkm1JgG3bPIBtQBJgmxfANiDJNiAJCEnczzbPyTZX2DyAbe4niQewbds2IEmSJF4oSQBg2zYvgG2eh22ek20us80D2OZ+kngA27ZtA5IkSeKFksRltm3zAtjmedjmOdnmMts8gG3uJ4kHsG3bNiBJkiReKEkAYNs2L4BtnodtnpNtLrNtO3hOtnlOkrjMtiQAkGQbkGSbF8C2bdvcTxKXSeJ+tm1zP0lcJonnZBuQxAPY5jlJAgDbkrhMkm1Akm1eANu2bXM/SVwmifvZts39JHGZJJ6TbUASD2Cb5ySJy2xLAgBJtgFJtnkBbNu2zf0kcZkk7mfbNveTxGWSeE62AUk8gG2ekySugLDN85DE/WxzP9sAYJvLbAOSAEk8gCSeh20us80LYFsSYBsAJEnifrYl8ZwkcT/b3M82l9nmMtuAJEASDyCJ52Gby2zzAtiWBNjmMkmSuJ9tSTwnSdzPNvezDQC2ucw2IAmQxANI4nnY5jLbvAC2JQG2AUCSJO5nWxLPSRL3s80VEIAkLpMkiQeQJInLJEniOUmSxPOQxGWSAEmAJO4nCZDEZZIkAZIA25K4n23bPD+SJPEAkiQBgCRJPCdJkngekrhMEiAJkMT9JAGSuEySJEASYFsS97Ntm+dHkiQeQJIkLpMkieckSRLPQxKXSQIkAZK4nyRAEpdJkgRIAmxL4n62bfP8SJLEA0iSBACSKmCby2xzP0mAbUmSANuSeABJtiXZBmxzP9tcZhuwDdjmOdkGJNmWxAPY5gWzzWW2uZ8kwLYkSYBtSTyAJNuSbAO2uZ9tLrMN2AZs85xsA5JsS+IBbPOC2eYy29xPEmBbkiTAtiQeQJJtSbYB29zPNpfZBmwDtnlOtgFJtiXxALZ5wWxzmW3uJwmwLUkSYDt4wWxzmW3bgG0AkCTJNgBIksRlkrifJF4A25J4ANuAbUk8J0m8aGxzmW3bgG0ukyTJNpdJkgQAkrifJF4A25J4ANuAbUk8J0m8aGxzmW3bgG0AkCTJNgBIksRlkrifJF4A25J4ANuAbUk8J0m8aGxzmW3bQOV+tjPTIAAM4pkMgHg+DALz3AQGQLxABvFsBowEYIMQDyQwYADEMxnEMxnEMxkA8XwYBAaBQWAABAZAvEAG8WwGjARggxAPIGEDBkD8CwzihTGIZzIAAgMgXiCDeDYDRgKwQYgHEhgwYCSuMIhnMghAkiIEABWwHVEWi1nUAgUMgMAgMIjnYJ5JYBAYBIB5JoEBEBjEMxkAgQEQAAYBYJ5NPJNBAJjnIDAAAgMgnskgnoN5JoFBYBAA5pkEBkBgEBgEBkBgAASAQQCYZxPPZBAA5jkIDIAAMIhnMojnYJ5JPJNBAJhnEhgAgUE8kwEQGAABYBAA5tnEMxkEgAEQGASAARAYAAGQOU2r1TqzRUTNzNl8PqyO/uD3//Spt915/sJFJMzzYyTMswkA80wCA4BBABgJg8CAkbCReBZjLITAIDAIzPNjJAwYBCAAzAtgJMyzCYENgBAYMGAkDFiSjYQNGAlbEmDuZwshMIgrbCQeyAAIANuSeAAbcZkAMAjbknheNoDEFcYgYcBIGAQ2YCRsJIEBAxgL8XwJDIDABkCAsRCAADAAwvbpE8cf9uCbXvalX6afL9arlcb14T133fHDP/+bcc1LaXHmaDQgsJGwjWQbAJCMAAmMBQkIzBUyAAYBYBAPYGQbSbbBPJPAIJ7JIK4QAAZAkgwyCDC2eSYBpJAxCBDBs0kCDBhA0ARIYCxkEMYYSVgASAIEBWEMCIFlIbAkm5AFIQkkJIEFgJCxnUKAcYIxl9lIUgphjDGWArCRsEGyAdu2LYoRBgHYJEYkGDDGINsg2wDCCIyFEwQGDEIA4gobGwmDDIGQMQgMCNlG2qhodY77/vpd3vJ1r73uRt19+5O/66d+5+RLvf32sWPZCIEA7EQIILjCGBAPZLDAAIDEM9kGJEDGIGFjnoPAPJMAMAjMM4lnM2AQz81IADiRuJ8kG0BcJgTm2QzimSQeSCBbEkJCUMyzmSZL4jJBgRAlCFGCECFkLjPItiSbxLYaIADbRjY2BmwDiCsMYGGwwRhjSdjY2BgsDECCwQaweb7SPIBBYECIywzYSFxhEBhAArBBZFpFh5f2Lv3tj73f27yWvut7v/fo2tc6ed0t6+VRRLExCCDBBgjbPJN4TslzsQEEgMVzMKDgAWQAsAEEBgCBARACwCAAgUEAxkYCbCQADAgAAwYBArAlSbLNZeI5SJIExiBBFgySQBIISwKEwKQFkgAwOHAJlVCEihSyQLJEoJDANmmlmYxtwJkJEwJs2wasYmMQgNO2AbCNIUAIG5y2TBgSGxtsAYANGAAhsC3Z5oEEIIOEzf0EIGOexSCeReDMbmPj4l3POH7+d+s9h/3DrrtlvVx2URGXCQyBsJ2GEM8mc4UBWTyTEDiBVADhFJeJK2wSAISQ7QgBWADCFiAAgwBjkBCAkGQjMIANErYEFiAAxGXGXCZkLASWBALLCgEygAUgDAASCllCgJAABAgBqKCQuEJYAMLIadsOiCCkQAlCEkIBiGrbGBsEIMDINpDGEjZgg4SwjQKBASSBgExlYoExgIwAMAKCywxIIMu2AYHBQtxPEgghMAASzyQwBoFBAES05fL0DQ+69dau3nrXvY/qWa9MWGCBDSALSZLNs8kYMACCFCAALGQFEBiQwhgAAQLL4lmMEAYhnkkYg8SzyLYkMAisACNAGATGQCABAsA2pDAWAoPBgJCxcEhCQsYgDEIKY0xIIUsCkAFJGNvGGKRGApKMcQgSSAQYhWWUFqpSlSWFbJBABgschGVkjA0GAhnbRkgIGRAgCUkIIWMnkiQZC5rBssCYK8xlAhDY2BgAJIyEERiEkMBYEgYBAgsMCAABCBlb6nuecde5OoxjBFJKAgmQQYCwQQAGAZAAIBskgQUCg0AiERgAWVxhQGBjBAiBQWAAgxACG2GQAIEBCYPEM1nCAGkQQjIIh7jMFhgBAttCQAoAgZECwJJtAMRlFiAkK0LIGCRQYiyeyWAAZC4zgCBkgwAJMECzmwBLBoQkgQwgwCS2AYGRwLRQAsZCEFJBgQ1OjNOkMbYAC4qwcUJgI7C5zNzPwhKAjQBAYC6TEAKBkcCQBoHAGBBXGCNlBOM41JAASUJcIWEAQIAwCABDcJnEZUWAeSaDwIhnsbnMSAIBAowBIzAIAAECAxgEYJBBAIjLzDMJAPMsAhAyRsgCLASAJJ5JADICkAADQraRMJIBY2wEYAEGAAxGSAIwiJQBgblMMggAbCcYyzKAwVwmQAgUAEIWpG0Zp2kYKzBSEcjYttI0sGUMBhACCcJGSNgIAwjABiEAAwJj2QBI3M8AGAAHGMCAwBgEABJhQihUBUWEiABLYEwIG0CAeCYJGfNABiwwz2SezVgCEBhLCAFgJDCABAbAIK4QYK6QBAYwCMQzCQADBoEFBiGEUQAIGQOyeQ62EADmCkuAEQIBGHGFBMi2JAQ2WAIEBCDAXCEZcT8JYxAABjAAwgZbIRGSAOyExMaAEskSgMGAEBYESoFlzLNZQoBtAQgQAizzQEJYGGMkATb3EyAQNggAAxKAjQRgQgiqIETgAMmGAMuSsA1gMAgMCIwFIDBgAMT9JHE/CVIIhIzBRoCxeSYjhGyDkTDPJDBghLjMCeKZzDMZCRBXGMkYBZcZgYUF5gEkADCIZ7MtKTASxiCBbZAAC0pYCEAWEhIYA0BiI8AgMGAExgIQwTNJwhIIA3ZmNstIqEQUySQQwmAhEEgECGGwjUECAwoDgDFIgAABkDYYxGVpC0nYIELczzyTBOJ+AoQEBiFqEKJKFCiKkISMjQOBkYDEQgYBYFsCAwYUBgQgRBoQIACQeSYLWTYpLhNXGATIAoMwAkBgCDDPYiEEGESAJds2KYQCIcJYEldIAIhsgAQGjAIkMAZA4pksCQtAhA0yCgECA1AgJAlAkgAbBACTnZhnMoSRIRCABMY8kwTOTIztxEkgCQFCVoDBhmYXEAlhQIjLLAQQCGEDIDAgMM+kECDuJ4FBYBBYSNgoMGBxmcAYS+KZZIgICYkqiCBECLAMWGCARIQEgEGADYAMAmQkLjMQkjECAyCL4FkkGwHIWAgMGAshnk0AGAMCQMIGxGUSNhiMBCBhjJHCApCFDMYAIa4QIJAwABggJYMAsFDI2AhsJEmAkDEQOEAhUEjIIIxt2wFYAmMsY5C4TAhCYRmwsW3ZxhghFJZBGBscBgE22E4QGIOxjDAIAIMsQNjmsuAKG4QlGQuBDYYEAQIgjG1ZCCEQ9xPGhDDGAqHEFQKqQhEokAwCC5AFtoWQeSYDSAAIDMLmMoFBAgnbAhACcYUBIy4zAAYQWGCQMUYCZAyEZACDEZdZksAyNggMAggDOCVAwoCxAbAAAQhh2YjLBAgQYAwQIoRtEAJbCp5JgBBCIBkQApK0DQiFwBYgjAVIGEBCMmDbouEGBBBgoCRgwJgrJLBAqNlJAGBsZCRAgDDPJNlGkmQhLjOEbIyRAJodIMlcYUAAlhCSjAEAQ7qBCoQI3NRqEMqKjcFIAUiAQdgK2UgIGcCgkHgmGWNxmcAAmEQEGACZZxLGPCcLQJINQhbCABaybACEeBYhZAgJCRDifgFgJEFagLhM2CAMwiApwQCS7aKQAkOAkcBSYNsIcAQ2ACAFMinEZZkJICQBIQCQDdgGjCQBgKWwDQhCFAQIjMCEsDEKQLaRAYzkQIAxgMRlEpjLhAwCkACBMADCBgsIY4AiWQDifsIgrjCAAJACB8IEhBBWqAsCqpQlKKVVBVcYgQWAAMA8k8UDGAQgMAhAgATItjGyJNsSTgwgnsk8UyIAxLMIG8BGAkMiLisYIZAEYBAAdogQiBCyJQIiJBlkPCWZNBsZDIARkoMwBhSALGwEAgvbPIs9eQJJFkKSJC4TALa5wgBCCFkAkgRIAtkuUi/ZJM60AYNkGQSAEDYShiIQtgQIG2wQ4jJjgxFgTEggwGRICBAYIWSei8CAeSYhMAgsJCFcghJEoOadnllVrVKBCiUA2QYkQIABzAPZXCEAAQIjAEmWZIMcAoRsGyGR4BTifhI2gHgmCwFgwAYQNkhKbAQEzyQnYMBIiqCIECGF6MgQJQhZYDmtKRmTZpoFAbYNZLrRJAAbGyPA2AawJclGwrjZEleEkS2ezQgE2FwmAxgEgE2CQQAgSyhsyUYRYdtIYMC2TYABLBmQwCBkWzyTQUhgEIAIEBhAgCRAyAAY8SwGcZm4TFgAAkASIYNLKIIiyXSFItXNzqc30MqTGJsRSFwmJGybB5BAwkaAEMaAhGTAAMhC2DiNELIRKHgWGwtsAAQW4pkESFwhgQlsUpINICEAxGVO2UiE7IZIgSRjEGSSVhpSMpJBtrBt27YwYANp2UZgAIQENhiEHRKAARtkm2czkrAtZAwCYxkk2caJAAO2GtgpJCFIN4Ek25IQEgZAUhoJYdsAYBIJECAkgbjClkFgAAQ2gJBBACDAIAGAeDZJSMJGEi6kkKTAssVluHZVO3NWM5pzHQxNDVlggzFhwDyLBJZkhAxIQmBjIxUpcRpZYEkAAgMII9kGJAQIMJhnEwAGgQGQAptQGEJcIQkbMJKy2BJXNCQSZITBTsLGJtMYhxMnMgYjQWCDgAAL2xKXyU6EjABZiMsEBgSAkWRbpJCEnRI2khCAACNCCLANSDIgLrPBgC3JGMAACNvCsgEBIEQA5pmMASTZBhSSZIwBEM8kAAMStgCQhI0Ac4UlLAkRpqIQEpIEDkoQUp2S1URLCKqcgRIbbGwkhBTczzYC4xAGGaNgZ84slMlmr0ztjz4YPKYAEBiBMQCSJAEiDZgrjHg2AUK2JQMSyOLZitMgMAgUIUASICwllm3buNmJSFsY7ECAsQEEGACBJQlA2FxmASAAgQ0YhJANBhCAAmwJQAKwkGwjSRg5sBCSbYyFABAYBMYAWBK2JGMhAiwQz2YAjIQB80yWEOIyWWADIMBIYCxDImwEYAQYLIGlMAgSpKAghUIgA24gEHWYOJpYNUhsgQQCwBKAACMBAiTAQrQS3pnFvDKrbM5cUUvstFl0OQudX0aTbLu1iEBEQDqFCNvYEiAwkBgAJGyDJAsE5lkEBglLAguBhSQJAIRQYgzGYJNkIoMgjWggCAAshAJbNggZW1wm2ZYQGMCABQYBgISRbEs2SAjMMwmMFUIWCNUQQsjgdJoHSsyzWUJg80whELIxCGMsBFgICfFsso2MAGEjZCQAJNtgAHGZwJItcCqKJIyRhAwYO7GwcaamRiY1zdAYmmqRJGxJBiQBtkmQhAApTAmXolp8oufY3AKcmWrYyKg5h6n1URaVwykXHbNFZFJKOH00MKUFlsAGyQAgg8BgAAQGJAEY25bAmFQEKJBBSCAJALCNbZnEGEBggcBGSLKEsWRAGCegwDZYGATGFkhcYRswIMAAQkiAhGRbkiTAGCMZAEsSzySDjJFUBBgAgQMA8UwmQBhshAGMZNJOKaTAPIB5JgkoATYIQBhACAwCBLaRBIqQjBMBYds8k41kDIGwSQwEYFOlrFCwbdtSIAkDNoiQBOAq1WhbfSyqu+IouSgC0jYkz1aCRR+CWe+hMa/ui5vd7POH1EDQMMZGWJKEAQMgLhPPZCRsyZIElgVCBkA8k20hLjNkGiSusIRsJJAFkrGwwCATGMACGyMExlxhJHE/gSRjLhMCwAiBxBVCCAEySBI2GMtCxrZAAQDGBkkAgA0gycS8tlt2EhibW3Ppugmd3c/lKAwAloQABAKTkgQCAzYSQjZYEhgbQECCQimBAIMtpYVtAEsKiTBGyIDIxLh2tW4uWB116ymlgg0JIAkDokBDrQRblY3qvgrIiWUiGSyppYESGBskCXplVwIzjhZK52avnbmw2+TJPhpZN00JELYFiGeybAmwEQIFVpoIQBiMkEEYAIEBEFhgAAQgkwgwQoBDCADEZeYyAyBkCwADSAJjAEmSAAEAAkAgAZJBPJAlYQAk8UwyBQGyBMZgwIDUh7pwBHY2Tzft+NisGVBxquXQCFm7R81YismMk2thq9dyYD21EDZQDEUobBuMkAQJkgCQbIBQCtuAAYNIBIAAAxgbLAEYY7ueP3vXk5/2D9NqffzMI9u0jigiDNiAwKS4TE60ntyMUEtKENGQpQCHIhLbmWkoEUZT2mmjdfOUKiUCd6KrRGir96p5OTI0xkZDxhhjbKGIqEEXWWsBhsHriURJgiSBBYABUogHkI0EtkHC5gqBeSaBQRgLgUECIgAQAhCAEAJAyFgIAWDA3E/imQyABBgLkGTLCaAAQAIkASBMMK953bY3O0eAcbqrkQTGpmW2dOKtGZszisIwTBytmUXbnuvSOtaTNvs4GnIyqzGHCVGkLKKUEKQBBEYCEMKWAQMCbCMMAgMmwbYEYISNkCiL4xfW05/s7d1+5z23rg7X156+CSQQEkgIJBcoEtCaMzU1mklTQxEBsgkFRiApJExaaRI1MyVjet0mQw2QpmRsGpI0thIQIYSFBSGVEn2JWc2ixMakDVhgDMIAAgyAJRCQEgLJAglCkiRJkiQhSUJCEEKShCQJCSGBhEAgEEgIJACJZ5JCSBYSliSQLRAIIQMFBMIyISEJQkIokFykGki5WXXTCW/PskCIEBG2kSRhFRQIQhF0hU6apjZMLqGAKUUwr9RCLZoVFdlk2ogu6IpKkXCIIgqOcMjCCEmSAAVSiAgQCkJCIiRBSEC6zRezv/mzP6o7W/OL993n9gj76bc96e7rTj/49LU3Z5tAUliIBIcUyJZxSwyYCMbiPrCxbdsJiUKA7cluxqaZlgj6UIkApsxh0rppzGi2ABAWGCwQwnZODWdiN0faKRvZoBAIjAWIZ5IxksAICGQAhAzCBoQEiMtsLhMYwICEwdxPYMxlkgAhc5lsAAzGABKYy5wgETaSAGFAFgiHVIKuJI5EXRdnNmJRWpqQeCaBbQOpbMZYQpLMOOVyYGyWnBINOycEBkdEF5zYKPvrXE+YzAQrMyUZMBiDACxskA1AABIA2MYC2wIjuckhJNdxbNlO/vmf/f7DH7rYOfYye/u715y5dhjbbL4wEikcKKQAIYnEGIVSHqYE2TaCtAOkJgBkW0KiOWdVXYhMmDJpSWulpVs6TRESdhpJCGFA4JY0QtDsZlAoLMBcIQDEZRIGDIBBYIGxsSwLBEgQBoQNStkYQABCRgqeyQCSMAYBGMyzyMIYAIwkCXFF5bIICQBci/vqKgeUKBu9NzvWg/eb56V0kS2NzGW2bKSQDAA2tjMtnI6jNcNknBGAMtM2hCSJlk0KmoEimdJABgWSjW0AYQSJEwnAhlQUbASAwcJIsg2EQkKKeuNNr/+yL//6G/M/2D14yrEufuYXvvz4Znu5V3iLl3yJd5AAimqQBaJGZpq0LUkCMDFMRIQAGKbJdq21IIyxRN+5TMZhG5Wq2QQTQ8bYR1eSTBsSujLLbJnNJEgSCIFtJFEwmOQy2wgsJPFMBvNMNhIYhAQIYwBSBBIAIAUCsBGAUZKyjCUhwBiMQCAsMAASkgEEAATIGCRAYGFsB5n0hRuOl3lneQylnWlaoyWbpQbTMGWGSgmBbSOMcSgUgd1aGgnSWo1MSQgUkiQkSSolpGiZE2rNmW4JtlQFxkCCESFsAzYICuZ+Jg1gQMZ2AjIII0EB4Xrs+NbWyY0bH/7oR85f5cL5W//str8dr735t37n1/ryoFd6xdc+ONwPUaIiD+NR38/ckAQYO3O1XoHWq/HMyeOr9Xo5jUer5YljJ2dVKIq65mk1hsKKFDVaPuO+353i0ubs0ZsbD8USYy0F9cO0vLj79I35ia7bKaVMbbCNxGXGYPFMhpCQDBKXCRtAEhhAYIwwSGAILjNgAIwEaYN4JiMcgCwQYAAJhBIJAyBsEAIkgTFIGDCAUYABIapy1jPvFDlOIyUCwrjZafd9mZpbyxBpKyPtTBQAmUiuGNySMcnE1pQGKSTJxmBsm4bElIzpbDYCyQISIwy2MYDBNrYBEBhAIAHYIADzTEYSIBCS6u/8zo/9w1N/eqM7OZtv33zLy7zXu3/GH/75H52960l/9Ze/9eBbHra9vWHXW+/822z7re2cPn369LEbTGJHmTWxXK27jihHR6v5uXP3LMe9acz1wW2LjeOLuXYvPGNn64bdC0+4cPFp876vZZbdxVsv/PLhcn186+GPftAHHN955Gx2Zv9od7U+e/biPzzuKT+zs7nd6cxN17/GLTe9sul4JonLAgwSNmAAbARgwChkQDaSbAQKbJ5FAptnEoAsbEsAFmBsjCRsQJJAgACQEYDAtgSAuZ+RBSAwigjAi8rWLBIvJ4pcRSgkkEEtM1OSQgKmZttpZ3KFwGC7packTWamJUnGkJlpjEBCdmbLdGABUkgyCNIgg2wDSACSbC4TINsGzBUGBJIMkkEBIYC6sXV03XU7jPur1Xpzs/uLv/mB/d3D8+ee1nfnHv+El3roQ29eDXur9cF99z7pIQ9+/Tvu+vtOYz87Ibjv7B9szmjjeLR3bn10tt947KVLj1/uHtZ65p71H21u3njtiVd83D/82OF0z2Y/rI4Othdby/3V9qlHbhx/hfMX73v63XcP6288sXPszKm3OTjs/+5x37pZj53Yfujh7n27+3+zWo4nTr/Uye0Tw3goBAIspw3CFhiEDSWqFC3XkpxpIzDIINkWRthIArABARIIwAYkAdhCyAIkAJBkGzAgLjM2lwmgCJAAJEgBEgAGA6HJ5mh0CYpsKSXZyCGuCAG0Rtpp0pZkJCEJaJNBNmnbCEmRDmemDSQYSwKn0xAUC0iUSEYAGIQNAsBcppCQbSRIAUJcIe4XEpdZAFLWk9csTt80u/f2dTfbIc8//XFPefGXeJmH33zL8eMPP75z/Thc2j33tEc++i0uXmx/+1c/v7kxu+XMo++68Oer4akXLz1laza63bcelppOl6Nn5HDOcbB0ZCzvvus2jbvzzfW5u88fXqjHjm0NY5lS47DUspR2yw2nH3np4q+1o3sOdr93vvngrZ3NXF/c2nzJ9eqS17NZm/3FX33/Qx7yWg++6aU9DSCFpCpn5kQEBhIBeesdf7S9ef2pkw9eHh0uFpu2MZKwsQWY588GEAghMAgJGxRhY0AIbBlkrjAgBTaAZBsFGAMOSTIILAQoJCmdYduyjUgSACZxhbFQYNtpbEuyAsA2gNNCALZsG4OdBiBMJsYgDEiAsG1IJDnSQrINksACJBtJxpYMRkLCgJEwYMkGCTBwfJY3HWNnRnnxlzt18pqOYXbD8VXJWw/G8d5zd3f9/uHB7iMf/tDjx46hza2tRSnD3bf98azO5ov+4tFf33H3ry+X98w3xqODXK0Pdvfuu+fupyy2s/lgWF46uM/zutF346WL53C5dGm9vz8dLIftk1tD7F689Pitnb1+dm7/0l6hus2m4aBwH20V0/6ls4+bpovr5Tl5eXDw+JPHH7y9dROqFy/9w+13/u58fnpj41i2QRiyqN579u+ffsfvt6lubxx/ytP+emoHG4uTEQUnCiQEEpIkLrOtCMhxGkopMgHCAmHJAmGEQCAhIUkiZAmBHCEiIkKBQgqQQAZCDoEsIbkGIXfBRlVXCFkSwmCEQhBICAOgIKRQKRERExqtyUxJS6ZUSzJpSTNpAEOaBFtYtmzJAhlsG5BspYQEFgByCIGRg0SGFCBw8kwGS0gWDiHoiq7ZmHY2cnO2+JM/+YNyy0OOnzkzp3kuLTbqWPPpTzu/Provh7u7+ozt46uze3/9lNu//+z53+37e2o3Hi5vk/bW64NCufO284dH544f21we+r57V1FM1uHAnebrfe2eW+M6rn2wtz48HCK02J41pp1js1Du7+2WqDTl4crjsHdpf3U0Ve320bbmXVWDYWfj0vLo6YdHd1w8/9TzF594dHjXU578UxsbJ7Z3HhKlK6WLEvsHu5cuHdQ4vO2On9q/9Jdn77t4w40vV7taS8VNpJAksBRCrU0KRcR6vQR1tQtLCJAkSUYAViBJEgiwEQACgUIChWQEMgEhAheQQAiC7IN5ZVaZVzZ6IsAOLHGFpCLxTMZKwoQhrakxJmmnSdtghJVgABUIMAgyQRIhEMKYB5BABM8iQCBCTaQBEEaWkSwsE0JIIiBCoQhpo+PYwrjN+sUf/fEflAc9+PSpkxvjsHzYLVsH63bbHWMu86Zrd264dmvRH5XZ/sXdpx/tX5rPxlK4dOm+fnGhzvZarmbzDTMeP95LtInVcipVs77f2ekLXu758NKwua0px/WKEt7Z7i6cO+znHfjC+RZRNjaLRh3bnE/rOFpO80UnSYTUpRnXB8PRME73Pv1pf/GUf/izPtd1XXcv3H5+98kMHpe7F8//w6W9v+yDY9s33nvPX146++fLi/tnzty0v/+k3bP/gNv25g21zJvTpqs12+RsmV6vVtnaweFhKGpXQxgrJElySGkmMlRCCgkhSZKQJEmSQpYESCAKOe81n6kv2QVSOCWo8qyoK+6K+kpXwWBqqISkEEq3lrYB2dhMGcPkcWKcmBqZOLGRhQUIBAKJTiy66DpqH5ONhQQASIBtgQFbgASShGQI5WY3ndxko6cPF1GKhJotEZKEhCAkBYG7YNa3jT5DyjbN5/M/+KM/rKe367Wb7dJB8Yrlnqb96cE3zB90y2LKEY8Hl+7tNFuu6ppRxSdPbExLdg+OMnTY7p3Nu1LKejmuVl6vxq4vQ53mJ7eHWG1eMx6/frZ1XGP2J66Zr44GEkWnrDUcrI72zRibM+8fjSY2FtH3ceHCWo2dTSk90051K1lmbZzNyql6yeOFazd0OMTT/u5HIlcUtbyw2D45P37Nwb1P3cgyej2c/3XOt9023zv7Z/XR922deIkn3/b7fdx4/Q0vvrmxfXC0RAWzv3eh67qz99197NjxM6dPIUUIEgDhvOves9ddc2ZeCyDAoBANDGEkDAaEAi965l1OCQFBZ9FrmiY7o5QoUUqWwEi4SEgts6UTQIqQFIrWpjTNGMASRrYEgA1CwrYkIOQIOWhWm3AqjbDAIAkMAsRlQhbgpBTP+nZsznaHws04aXZLxmRvrfUEKLCNAkSRN3sXpQqCoZmMpKRV25rNmG8dmw/7Priv3XJs44YH4Tou99XH/PCSx2F56po4XApCZmcxu3hpkEtVv95bz0703UyzQSdPbd9z96XVwXo2i9mc+TG1aTgcFFWz7XWTF7PaQnv7bT5fOIfl0Upux7Y21kdtNo9ce7k/bC8WGrTTs9nNVivP5nUgtrrc3vTh3t7h0qePb0+eMtxFORjabNEfXLwoHfU5bnVlmE1tvciemWYX73r6P4xf17qyf+lC52vvfdqrndq6JsqJ2alb1C0ODg9OnjwdEbO+RxYCQMAz7rj92muuufvOp5Uy3nLjLTm0UIDlhgCBZYu0kRRykTDr0bYFhGq0ECWaVSQltCQtT0AB3FraaSyJEMp085SZaRJZIGGc2BgkGYNkA7YlOXOEcSg2abdECGxJgC0CWQIEYAvXQh/e2ch57yIC2wIZCyKYia2eKWlpgQQSEFLISG6RYKdTU5IZdXevtdY7Y71anNzObEdtGGA43Gvjkant1KnZ3vl1P+9L9d655brLWvu9vf3NjcW0zIvT8sx1x7razt1zrlgnT24++Qn3njy1cfLU5oULq5NnNo4dL7t7S2d39nzLiWuunXe1Za63t2ZtmubzblZnq1Ub120YVv3WtLN94tjGtCjd3v5+lJ1Ly7Wm7JqmnCj94ZTJpS7masfW67ObxzUNZhiL43BYHwlrvaVg/2izxnJ/PXV0ubWI9fLev77zzr7URbd16sxDXu/8uf0bzly3t1x2pYS6ltM4LrvaLza2L1y4+2//5s/uvOtJd9510/w13+iaEyfxJCGEDQIhsCMESBjGRACSUAbOCKJUIdvZlBRjjG0EMpYQVjolDC2d5jILjGwjZIyxZEkOWQJjjNTSaWNsI4FB2ASQQKAiScaEhOirj29kX5shrWY7bWS7ZUnC9tTcyX0NW62lQBGBpyQCpTNJk43limlyedhDb7jlhpOrVX9wUIb1tBrG0uVwyLCcLTZmu+dzebDc2ZnP+urJNbQeKD1SRImuzs7ddyji9Kktsp08vkBeH7Vp3SC2T2yM6+HifQcb883Do3z6084nTC1LLdubs2iEcjHbhPm49tSGnZNaL8ejSzq2eeqOu/cPDxkmX9wbchqOHe8U5eiwLMejWdfNFvMx2+lry3K6ME3ceN18tc+lS0O3VTePzw7P7oWdXat9KdNiHot5d2x760TTpTZNpbDY3Lx49x0Hl45sbS0WZ88+8eDw3Pmzl2rkEx73a+ujvcc//u/Xh0+94/Z/OHdx/0E3PvTY9na2MRQCISlkBEiSRCDJBpCMQOm0sZX21LKZZtI0k2DIBEu4hEtIkgiItNKABAgCbEAAhKhFXU8IwDYgFDKyJIVCAiNFWEGIEkQ4nCVci7rCvHMt3E9J2GpWpqZUS41Jmr5GSGO6ZSKw03YyNU3pKT0m66lFN/+TP/mDWtSv12VvbxSuXSz62UbXxXwlb2x0O/XU0dHBJQZd2J2G9XDmhjIsczW0fqFaSz/T9TfvTNOU07S56DbmXYiTG9045MHReOHeXWWNjKHLO269tLW1vbUzu+++o6c+bXVqKx7zmOPj2O/vr6dhAHZ2FuN0OI1xyy19trEri9btK1anT837UmfzuO+uvO+egXq40Z9el4sxG+tm7p1dHR20Bz94tnW6XTgaj22eXB4dum3uHu5lKdtbNWCx7TbUbmurTWdHn79w173n7n3iwf521y5tb7zCrU/6k90Lv9XW0ZcbL51c/P0TfuvCctHYuu/OJ+4fLG97xu2bnV/ntd/i+msfNE2jFCCwQZJAAMYYCzIz07UUUDNNBoSQUUZESLYBBSGXUA1CahmZJCibkEWCJEAhWYCw7AiXohRpJEVEDYWzQUumBCwhGUmSBDY2JBKyQi0ZG82SDNhkKq1Mt2TItF1CTk+NloBsGWwmCQiwnclkjVZDFYrUDePRRjeb1TKrW7UcnD9/MI5u47B9rI/F1mp3Y7ZYn7p+ODjcJ7U8mLY25+vltCI3NrrNRV0dLDu0NauzIte6Ny3P3LC9v5zfde/RyRM7fV/K/NJ8K46dOHbpYNw9mO46uzx5zWDc9XG0Wqm5ltpcW7b10A8HQ+27Nqw253FsZ757cXe5qmZR6/5kj9PBZl3GLJfr8eio3nHHOnxxZ2uRVRfPj+Hi5t1dzbajHHSATPXRcHQ3HEXrdzb7u+7Yqx3j8p7du/988N50tDesu7Hesbe3OrF5013nnnbvhdsv3nO4HMZjx7f+6k9/9+Ve8uVOnThV66azSSAJIwmQsAEIwM7luJ5rHjgERpKlUNZwKUjYGCxIWrOTQAmZbuk0KRLspKFQKCJqiRql4MltbGNLnCCwc5osUEREVNnGbiABiSFCIUUI23amLLXBSJKkEMKajJubNRmbsSEwMqBAsm0MxlhE1Np1alOpKhHlwbdc/6iHnjlzTY5Dio3ZLNbjpVk/OzroxlE4ZvMNIi/t7ZqCfHjUjm3ObrpuZ1jnk59y4fjJeQ1Wh+PGLKp0afdotZoWsw57b/fwcOULFzNqd9hYzGellOVqmG11m8f6S7tNVYd7rVC2NxdA0fYwjDlu7F1sy6PD0OZdd1yqdXO1Xo/TyaMldT4eO95nHly8sBpyfbTm9tuHSxdzsVEn58VLbdYtFjNozDfDGru+9H09OjiaBgmOVgfL1bixKIrZeuDk8TpMYy1tVudnz+/vXdoroXEYTh7feMKTn76xMe97O/16r/0K29vTrXc88ZZbXiIijJ2WhLjM2MjYtdbdvYOz587fdOONBKVW1YICCcBMLTOxlWkbDAmplkxmsptpkAhFlL7Uzp7sXC/Pnz9/2523P2lv9y5VQbUKCkWnOmvqxoyWtlPOkCMcAGAwAlCaTGy1VJpmpsYwMYxaTwzN64kpaYmRkZFNYovMbHY6pVKi67quqNBWe+ef/oy/+7XbnvAHf/lXv19rWQzjImb7UfvDA+p8mM36ixcPpO3Do6NjJzem5tKNpZ/de99w7Q39/oXl8dnOwYWhr2Vr1lcUGaePLSLcphzt2aK/eDDt7y7X63HN4vY79y/uLxcne+P9g8Nhyin9tCddaGO95trZ5rzkLBaazpyZHe1uXrxwfutGdfPVyRPDtNpMTg6N5dpb0WazuO/s/rhaJHHhwvpY6+YnPQ7j/v5Ro5tvNnXdpf2V2jSLzb7vDo4O+m4qOjFNms0X89ns6Giucqi6krr5fGP/8FDqV+u6Hg/k6dSJMubBfLMMLtec2by0Oz3soaf/4e/v/Ku/+u0x79g7rDfe8BJnTj+81H7Wz1q2rvRphxTRO50MFvfd88Tf+/3fP3f3bdeePi48m29sbG3NFotaF7XO+q5vnlpagZzZ0s4oBjVsyVJEzdS42ru0e8ftdz1ub+/8/t4FTfu7F488tK2FZzt9rSdr39XZ5vbmdj87duLEg09d95BSFvMofdeJRGmTiWUbwNhpG+EaSIQwCCy1JNOIdAiTiUKSQQgpZn1BhTqMl5aHtz316X91tHvXcPiMe++4m/Foax77Z++p62HYP2gXD9je6R72yMfec99ftmhdfwzIw7QLOkxfGqd67uLRauDGMyfBm8fny/XwoBuOPezBJ299yqVuAwexUBmm87vL4SgK/fETW5fuObz22s06S89QdWY5eeb4kx53tuu6Ely4OOyqjVO75brNxVZO8o23nN7o2/ap6Opsdzx6yIOPl6576lPv3Vi0wrH1avvcxaPD9XqaWu56o8z29sajw+m+u4flobe2y7wuzp+/94ZrT63We9OYF8/lqRPR91v2znLIvtuacr1eZ4nZ9vbJcbzv2huve/rT7rq4d+kRDzpRQ3fec7BkfOKtd7vFwf7ySU8aj53YfupTL0b31NNnrv/bv//+lvMbz7z2K77Cqx8e3Ht+72ml17hczxfbG4ute55x7313PPHvn/CbT37a+f2zT3rQmQeVebY2Ns+mWveWPPiWG8+cuf70mYdubpaWnvWbx7Z3ZpubzWmr2uM4jeNwuH/fHU/72937/u5oeffF1Z46OtyrO7YTPtzGee+FczsbF4+W7WBVT26qmK5sXDranLpTD3voDTff9JDjO9dtb2xGSNGlMxS166PUWvtSqqDQzNTcsIXTsmTbBiKil5Q5qNQaWq9X7Wh59s6/Ojq80PV54cIf3X3X04f9jeXh8s698zecOrlzMs/tjhcuuaoud3aOzTY2ay17exejMq5TzPqZFwudOnnyYHUY/Xhmc6su8q5nHPTd9sHhHZd2F/PN7uhw+Ie/vHd5KHa0dWruqeVQxuV07t6jG67bbG3IaXX6zE5ddPvZlkftwoWj5XJ379K667voYximjc15m/JJj790043z09fEic1rtH9pa7G8+77V4UFZzIeTp/szp7s2rhcLFqvFwT279507nM+1dc3s7nv2M1ls9LWi8P7e6uzehePb096lw3HwNMyHcRqmS8NysbNTD4722nAWpsN97DFz7/hGuf2uC/edvWN7o7vtjgubi35qOnffRUmZubm1cc+9B7u765tu2Tg6HG5fPnXwXZcO1n/vv7jzyT/+4Acfu9jO7w995n0bxw/c4vCszt4x3nfvQd+5dkcnrok7zj51a/vMsPbBYS6Phic98Yl//eenrrv2QeE7c1q1ctP2yWtuuvnmG64/U6Wjo4P77nlqrvaGw3PrtpezgyZt7ywS+qhtnBhbk8ts6pab81pvu3fa2lZHd2GvLXMcVudLHvzVuVt//3d+/8E3neyidV1fFhraOqLUOl/Mjm9snDx2/Jprrr3p1Inr5ovt6DcmpkwTFUTFpKf1wfLeaVptLq6b9s7efetfn91/6mLp87c9cXd1oWwfoGG50k7M9iY/6GGbx+ca9vutU8uNU0d1c7OWbn1wKWp/IPXDqk5DrRHJdObMtZtbW2t53dYbfTtzTfFwzXyxdf48T3vi3jU3zAp9rkPNG/NO6ZyahzYeNRk3Hw3T3qX14f59J67ZOnbTsfPn98+dPZwmpskwSXHvXQcbm7Ot7X5vL1Oz3YOjtr7n4ac3l/sT7k9fOxPjbBZtKNMwrOz7zu2t18N6OXVdtzpoal0trNers/e2l77lxMXzhCilnji2xSov7C1T64t7l6ZlHcfl5k7JMsx7ysbGnXccYu9snDjYu3T61Lba6r779g+P1G2xmlqUqDWm9frMmVk/61arcu7cwUYfB/vDepp25vf8xYV7h9Xperzcfa71ZXZs2Q4O9s7fO8rzvf3h3H3D2bsef9/53c3N8mpnXvKScqtj5xpuvfNcWeyeOblYHxwOdZx8/ujgjn/427976hM2+m5dI0u22RQZXndjH53HMg7j5GGw1q3FoNDY1i6hSauHPFybtY9VaUEw3HzLbLOPdVNbx6zLwzHXedgOptWhlxyFaNMzZrWbrctRq5tndh770Jc8cfy6Mzc/QnSr/fMlZsPh7jg9/Sn3/Palg3u28+T21g27F3bPnzt/7c5i6rw4vhibkzmebSyOsls97JqHzPoch+Vy88LsZHdsZ15Nlm7Zdzf2s8Njx3ee+OQ7tjdPjuPeRn/iEQ9/8dWw2y+Gw12dP38eqth5yq1PxMOi1/bmzC1GT/N+JmWbPK5yZ3MxW8yvu141uLi7qrONcZgu7bfpwnKx6B704JNTxoVzB4cH09b24ranX7rlwTsbW/UJf33xqU/au+aGxYkHdbffs8vUnGV7px4eTrvnF12cKJX10HYvHe3vL7c26ziOt9+1iq7r+972OPrc2RVti/TuufFw5+Dk/Fh4sDk8XFXcdYvl0d6lvWHeq5aDru/HVVzY92Jz+8TWxl133La9tVj56NzFo4v7OVs4XGvXzTfz6HC84/YL6/Vkt9PXbVx/YrazsXHtmX55sJwaN9y8ONo/XO5rc+PYU8/fuzw6XC45OsphfXHI1aMfc3I5PvVUd/xIs+V6dxoPtk7sP+npf1XjtEp307UdeerSNB2fzbbmEJ68iozze6v99erUrK5W2fVJ5nocFxue9fPSjzP3bSrJtLFITO05dnxIWY22bIua89liGtbzWBy1qesXY50ptu44t98mb5/IUtg/V7bG4dLT//ySdevfd6qHRwcHi0U/TcNsfrj2+dP9jd3h4t6jPzg3rU6evKbMfGzj+kOf1XS0vThWYxHDiWHVn9rsz+3futNfs92dWTCvR+saJTe3tMp5rfMLZ8/OF/PaM5v1W5vH7rzz9tlGNsrhxYXKeOP1j5DnFy4+VY5sDrdatXl8PlvMNjeYYHXY7V9q3cZssdnddffdOyfqtePGubOrvYPV7urSLQ85tbnVX9pv08C4nvba0cMecaKfxbn7DtfrvOfu1Ykzi2Hyan95zfGNojx/7mjn2GJ1uF6thy5O2D1ufddH4VjXtVn8/RPuk2NnZzEs8947pjNnorkdLdd33nvxcO71MBy1sZS6Xh3VOtu7OJ07v9ze3Njc8OaGDvaGfsHh4eHh7m7fzbueaTxYbHQXdtfLo5zG5YmTm+M03XbbOaFZV9cTiwWv+fLHTyzKoqt3np/+/umXTl7f7eyU82ftMbvoB3I2K0dHB2euWUSn3b1Lzzj7V6c3F1PM8TRbLNZL/8Pf7Y3T0Y03z244sXn95smTlMWGl+N6xYX5DctZabnbzfY3IqfFLBcbG560cTJrDZpWY+mGOBqGvqN3HrbVmEfr5X6v2Txi3S+H7nA1Lhb9sc0SsxifdtftfbfxMg95iVuu7Tzs7+XucjM3j+9u5GLn2PqotXV3sGLa7m+KvHTsmtq3YxeP2nQwE2Xz2PETOnm6nLpn+Yy1lyYXubnyxQvLO2fT9rVcc3F3t8/t3YM48t52rC/trcujH3XT8W2NubNac7R/L93M08HJ7Zt2987WurE8nI4OL2wuZnsXhsKJcbpXebCY1XDfd/3GxtbRso1taeV8EWMbai3DMoaxnr24G7XubPVTG1Yrb23PNja7aZruufvS3bcvQ3n8xFwwjOzv5fmzS+ST1/S7lw4xG/1sc2Pj6KAvdbx4cVk6be7cdMe99509d3E5enOjTJMuXhoOjtr1120+9KFbOelw37TZbGu+ZLjjnoNhmncbRa7L4ehgebizfcPFvUu1Wo7Do0GwWk9nTl9/af/C4frIKEq0WLv6/O7a0mIbe3LTmdOxtZjt7bftne6mazZnnbbms013Fw+X0bfjffe3f3UJb867jdVRC+ngYHVw1GrX3X3vftJuuH5za1v33HOxxTBO692LR5mz82eH7WNaLLrHPflJLC4uddfF3XMbcVRnu+Mw7h0elFXphs3jJzcO9g43684NixufcsdtT77zzuGwHtvY2T69q5jt9GcGDWNbTquu9tFv1PmJPLikYZh5azxYnV1NqzvO7Z7fOz/M79ouLMbt6WhzEYsLB5cu+JyPL/dXq1Y4d259fHbNxkaOhyX3uOfg7Gqfzfkqpuvn6431eC4G7V7cr4sDa7W33l8fcLi7Gtq+nONRPvWOs/fs33vbxXuefOuF8tCHnH6pxz622z41teXmfLHY3Kklnva028+ePZ9uktOXjpYH89mxrtveu3T39qwuuuqM6288MZ93pTtUZLYym3XTNE3D4sTxk+vslksX9eth3L00nTq9dfxUt3Nycdddh9PIuftWCm560Nal3XbXHXvnzx3t7w6LeR+Fo/18+I1bN5yZp0OeHS73W5vG5dbuUX3q7bfefe/urC+v9JLXjVPefX5lfPODF49+7M51N/WLjXLhXK5W46X95YWLq3HKft7Naq2zo62NuO6aWzY2eMhDxvks2thKqQeHgtndd95jUxf1GWfvGWOqG7Ecc2trtl6OW9v1YH91y42n5vT3nd1/s9e64THXl3HN9mLe142tbV7sxU/ee9bLo9bP2tjYOpYlZnc+Y314uI6utqmdOrU5DTrcHRYbcfHicDT41qev7Dh9zdbZ88PupWlvWC69vPXOC2U6dv382Li3Hvf7dtAdXGrtoNu7uLPei/VhpA6fdt/Tn/KMvb39o2tPnFqPevqdF+X+hvli2GM+Cw9jnTZuv3V1XX/D3u56S8d3Ju68ePb83nK9r1uOX7Pay8c/9UJ08/N3X/C6nLi29xjdxeu3hxvXu0sYPfT33rM6fcKL1EwbT7z93tvO7kd/Sdo/e/HuOtteVN134eDCfRzuxz3PiAsX9xcLSjc9+d479o7aauBgf1Ue+tDrHvXwh99997nVcM/pEzdn5tnzt67X6+WBN+abfT8/fvwkKO2jQx8eHpzY2dnZOrFeTxubi+3ji9lWS8r+7qLW2cXd1fKo2zrW33t2GMb+3nt377774nownhabOly33d3V5mZ3/t5xe3vR9/Xg0jgOlmst8ZhHXXv6eH/Nie6RDzp++uT22JY7O6dmC62W43K5s5583/m7sg2L2aKWbj7rHv/Us49+9PF5Vw/328Xzw8bG7LobT0zk0596dj6fJ21zHmdOj6/+8tffcM3GyZ2t4zvlphtXp07WhzxotrXB055xuDwqp07v1Hl/2z33ZG1j85nrt48Opt0L62yazeutt+3+wxP2XvxhWy//4jvX7nTXnugzY3e/39uPc4frp50/2D9c33jL/OLe8mjwOGq99Hrlvb3V0XJ5zenj4zCu1tOsL2eunV843y5dmkJ9LT46XC1X06mTGzecmZ/Y0t6lsczUbcRmXYzTrOXhTTsn5l6lImUPt5/aWh7fWN1yzCp52z1nd7bKU2676/FPuXenHqulzLfy1tv3wifvue/g0mFbLYfZ7OAZe/c9/ukXh9E1Nm48fWaWxV6Pnvp5f7Re1ezaEJqOb29t7+0fedo+3GXeHz++cV1frl0OU4Hzu+cvHU4PedCDd3aOb22dvHRu223nYK/b2z0cxvX2/PhDbzx9Yf/iU+88GMfc2ej3Lq3LIx/5oAffclNX5nfd+ZSNxfGD5R133HHHzvbpnWOnrNaa18Phcji/Wk5OJ8Pe/l7fzY9Wy63tU0erw7vu3J93p2vdPDjanaaIIOn6fsuqt992D2VYHo1d10Xp7rjr4NLe4Jb33bM6fnxjGNqF84d2HQem0TkNiz5uuH6xvbXdWpsthr4eOzo8JHKczhhtbO5ub89W6345+cLFIxSbW5w6vbHY7M/ftz48XK7Hdb/ZX7o4HB0N/ayeOj570A3znc3F3t54tFxef/3OffecXx629bqthjx3Yb2x2W8dq7vD7u7ewZkz82Fo5+47mnU7991z4fiJLUUc7A07O93RsLr3wvSXT17dft/y2PFtzU5F5/suXbrz3OGZ04u9g+Vd966zlbN3rbqOlm0YyrBeD6u2sdldc3pxw/WLyd4/HKY2jkM7c3rn7vuOxjaVkid2fN+9h3fctbrz3Llrruk2FpGhW28/N+Xqugcvl8Olxz3l/NZ8dfo0E4fZ3G1de+HSaqMvFy8t7753nYWoy/P7u/v783HYiJq333vv9jWx187fdteuNcN62m0Hx7c2bjp18t6L5+47P1x73fG7zl86Wg6t5Wq6dN/uffONquxacubMqeV6XK7j3MXbNzbdxWxn6/TJk4+KEhfPXdrdL9tbp6ahLdcXzlzfX3/muvX++MRbzy4WW8ePzR56zbV33bFf2zQdP3763nvPZerwaHc13bO1dQzXs+cuEAcbi43tTidPXCMWu3v3rfe9c2zj3MVzGxuLqBpyGFYc7cdicyramm/l7v492+XUvNs6ak988CP7tO6++/DY5vz2p184Msu193eXi426HlZ2vf6Gk3feubs8Gi5dGubzjaPBz7gducH6ITfPuzgvpqp5X7q77jq/dbwdv+b00dHqGXfdc+6+vZMnNh72sGsODsbz9y13dhaK+aW94XF/+4zloRYbs4OD1aWD2Xq9cdudB3ffc7Ax39nZmd9xO9nWpat2PvjG+TWnTz31rvN7BwcbW2wd52A5FdXVav/Y8c1Lu4dRota6vTO7465LeHJ2JeMpt06PfPTGbLus7humozw8bOd21+l2+mTJZeu7bm/3UikbN9143dnzl3aOzW+6ZbOr0z33HW5uz8ch9i6tNher49uzpzx1/+R22drevOde98EN12yX5M5zl1T2D48mTsXj7zgYjqD126eP3b6/N0artR/aiJhaPX3y1FNvvetJz7hTs+78uYNTx86sVkhuMQzyMKy2tzduv+NwNZRscbQ+vHt3776LOlyvDpcj6GjQ5onF+mB16chbJ5Tj0dlLR+d2Ly02u6qSHpYHq1l/4mC85++evLex4OhituKyuJiZtc8uNo3uuO9ia/3Db7npYHX+4t6+o9SodXd3vPfsvTdcd2ZsuTW/tor77rtnb3/d9Wxut+3tWw6P2tjuI6bZvL/37GGJRhnvve9sN8tjx47PN4dukdE1lWk9jOnuwqV7777notQP07S50V97Tb/K+eOftiv6C+em2axrbXzQQ3YkXvplb/6j37ltGlKKW2+9uDE/2ts/eIWXvXHz2ImnP/ngzCk/+LqHPe2up+2v7mYZ5y/6+InFbXfOo+zddMt81sfY6ZrT87vvWU+Tt7dmx7cXw/64f35Z55w8Vk6e7nJSF7PNrXLf2bv39oed457a1FOODtt9Wt9z9lLzaHfD0M3nOV/Mh1UZhsPlYY7j+JBHHFutpnGdbuOs5ubG9nXXVry8686L15w5dnxzdXxHhwee94v1qh07Nd/YKIf7uRwPN7d00y0z0P6Ba5kWG52yzvuuaDh7376Uj3j4ietv8H3n9xeL/vzA3vl13twdLXN1xNlzLr3XbT3f0DhujUexOx3uDXFwsN69dDCNcbDyoputVrnYntbrGIc4d/HCsF5fd83Jkyf7S7uXloP3dqej/dw7mvb2xic/Yxd1hq6b7+371Jnj68Oji2cvLKdCFCbdes/FSwfrNuphm9cRbbHYqnWDoT/aG1V3p8ZsdlysDg7OXzrYP1xPi27znoN7s+fkqVmtXi7Hcdpbj6vy4i993c6x7fvuPdja3N7avuHo8NL58/ccP35ya0eql7rZct5de/fdd9U6P7ZzbHfvwt7hel77EzubZ67dKmU2DmPphnFcT2MvPIy5vX0sdencucP1KtPa2KzhaeVxObG9PV8Py9XSOzsbwzB0XRweTOfuW61XU9eXxWJ+8vjmmWv6YydaLVPf7ywPdXxrcc/uevKwNetndTp+sl9stAc/ZH5so64Oh43tfufY4ty5I6T1MJ28ZhElhnWevmb+mBc7sb2IzY2NKB3KxXw2m2lzK6LUw4N16fq95eyei5e6DbquLJfTctnGsZ2997DvNU2+4eZjkBfOHU3j5JaPeeiJneP9k59+eN3Jm++84/z5cwd90ekdTSS1rpbDsM7l0TSNUfv59TfNFN6/tDp1Zlaru1rvvv1of2/96Bc/tjzK1bKdOlPaFMO63f60Vd/PH/6o2c52d+udB7NZP9/UPffusuzapbh0UMYcjlbL++7TffeN58+tp+bt7eP33HOY+MROOXZsLpUL5/30O5fHTi52Nrp+w0PzHc842r2wni0Wkk6c3LzudM/Uzu+O15zZdpy75+57h6Fr0zCO6+1Fd/bc0WzWk150s2M7i6ODaXvzWBsOInfmXSyXdP1G19k5Ldfe3inDUfubp57fOc7xrSJxaf/S9sb84GAqD3rwtQ950MMvXjzY2tx2zP7hCb+1MTv2qMc8Aq1rvz6+9aDlctrZObG1tXH23H17u3snThzfWPTHto/3/Y45irK4667lxrHY2DydivWwns2O7R/tbW1vnTi1fdvTz1/aO+xn9Zoz2+fOHi6H5YMfcRpF33Xr9Qi6eOGwNY4ORsiTp7euP7N96mS74caNjcVsc6vcdtuF/f3DM6cee+utd9x0Tcw0nT+3u7ERp0/OnO3gkNWau+7YX48YTaN2d1dnrt3u+/qgh5yeVbfVCsfZe9bDOBwdjrX269W6ZZQ+nvyUC938mrvv3T1atlOnN8bBG4t+HLy3O6WH7e3tfqbdC4NN15WNjcVjH7lzdDgu197a2tw72Is6LbbUbyrDp09ubW3MhrFduLhaHdVpYnOLxWY5PPBqtY4SR8vh6HDc3NwYx9XF8+O5+1bjWoXNna0zzvmxE/HwR23uXRruu3e12Jxltr09Dg9aO5rdee6wlX5Wt0QcrsaoYeV996329oeLu/vbO7PMzFYvXlrfc259zTWP2tgMlYuX9qbVURzstb1L49FyPHF88+HXzI7RP/jazVtumd995x0XLq6ci+Pb3fZmO7bBU287N7RhHNrJ4wvWhzJb/dwjOxtbx7eOb85PFDGNy3vvmbYX13Yqq1V3932rzc3ZrHbrYbVeH21v9fedPSov9phbjm3Mjp/YKOqe/Ix/OLZT5MWx4ztPfcrT2hTOfvt4u+WmR+xf8sHhuSht0Z/c2rzxYH12GnOxsVHnx9beG9s0ttnFi6zbXh/XD4Nq10d4/+joaMjNY5tlXkbn3uGwtTM/c+3mOHkcvbE1G1a0KYY1q2U7cVI3Xr+9tVV3ju0c7Pu+e3zi+MmD/emGm256wtOfcu7C7qXdo6JZ1y1OHrum3+D87rh7cUo3i93d3fS4XI5PffJ9589fvP76zXE5POimG9bD3tTaNLJcDtO6LDbb9vbO0WG599zeiROn6my/75ZucbB/cOHs4X13HbSxdfNy3717N920c+/du+fvuzRfxKyPzY0eutXK95w9mM/r1va4daIbMh/xqGM337R98tS2I1Zr7rtnfWl/eeLU5qlT/TRNe5ems/ctT5xa1E6758Y7blvlpEc+9tTpa+Y5dH3d3jw27u8eHD82dT3dfHG0bPfcdXh0yKWjaex2Wr95eDAYzxd1tV46+tvvOLy4e2RHtu7S/nB0OCyXnlpZD945ec2S0nWXzt4+DGtjbW73+wdZ5qeve/BL3L03H2YnhlW7+6Lc3XBuN/faie3NU/uXxqdf2Nrd8yEnt07fOJ9vLFuZiAuHh+f2Dy4e7e/uHWVO+wcXLx01prY6ujRNXc3x1M7xLuZ4aM7Jy3vvG+qsX1xzzfwZt91z/ORssWjF16517h+e9BfzjdyYHTdH5PG77rrv6c944nxzOnnimjOnHnR4sM7p5gvn7zh58vjR4XK1Wpeoy+W5lqdm/fbW9vaUR3feeRuxprTR3Hv+YH8dZVGPnVzcdfslZ5nGfn9vvX9pdbTfum5+8tTm4UFkiyc96cKDHnL8nvvO33PH+Yc9Ynt765Hj0N9+231t7J7+jPWxrfrIhx5XuM7Gc/etazfc+KDZ+XsTP+ilX/XhJerh4XD+vtVq1R76sGuO78S4Ggftvdhjtsah29xq4zr3Du47uXN6MRu72YMe9vBHnN996Gp1OCzruQsH/Ww+tXFs40NufMi4ztF3PvhkjmNubnWlO7+7u3/bbe0Zt9/2Yi/+iEpsHfP29mL/YH+59N3765bDM56226b6yEfPVnu84iueOH1N92d/2TYW9cLFcXNztrsaQCdOaWOzG0f6vt34oK5GHB4d3HJzvebMxnKIpz79wjNuPZrNupOnZ3nuYLaxuufpq43F5uhZabNXeuzNT7z91r+9dLav/aWLq67r2kE7uJDHj8U4TkPLP/2934p+9gavd9Pbvsb1//D03SfesXzCE/bXY3fxSH97L6dueT1tn1pOd3trtn3iQfP14ebGvB7ecbDOR7/4tXsX7jh23c3XHNtSGxbUnIbN4SATlTauPK0v9tP5E8tze/uX5iWGVdbtS2Mk/X3rvfPHNq49cyZvfdqd9fzuuanuXNy7sG5x7NixZzz1vlseVqZpFlk2N04OKz35KU/dObZx80O3mIZji+tvfdoTj28emRObW8eO1utzl+44XB0t5ptd1998yzGPx50zFR2t9649c2zW+sc/5Y6j5Xjt9VvLo1VXuksXuHB2tR6PShegzc1+NisRZViXpz7lvhtvOHPrM/bbNNx40/E6j/3hvpXZvWNRQg9/2InrrrlmWB3Uuc5e2Ns/OOj7fv/SkSmPevirPOKhLz6b9UeHy8VLLbpuNgzDMF7su3Drajet12ft6LcXj3pYd3EZj7v9b172JV42XaatG0+fGK87E11ZTNNiyH5Kj8O67+ZHy+VsXsGXdpeHy8dvbd27uVGf8LRbV8Phi7/4g4ch1sM6M+68bf/MyS3jM6e39vbHEzvdY17j5hLd+QuHN12/8+jHzP/kT85dOtce/OBrnjHcu3Ni68SZnb/607vCOyy9uX105pqtM9fkfDG/44nT7q762ZbV6nyYb9S77tk9Wi9rGVfLPNe8t3tX6etG4DaiqQTdbB7jKtyGHLNun3nkS6j0z7j9GX8dl+4+u3t0EBvzbkwUycF93PeHsdyyWynz7a37Wmx2uTH22iiKemlxZvP0xn5ZnR2X+20a2zRM47C5WHSho+XqaHlUOpEtmLp6bOvE5jAtTm/Mr9u86Ul/czDsx7LbPtq/r15/88bJU8eiv/Pee+LUNXv9PKepy5bHj29sbrSj1QUtcvdgXB6ttzZ3Di49/d6zZ++7Ww95+LCx9ahpLIq2ub0xn/cH+4f33nvf9ace0s2m25/4jLQu7B7sHeW1Z3Y25uUZd5xb9PM+urZZDi+59lPLLNFnxtn7Dubz2TQ1p5ZHqwhtzGNWpqP96eDi8uTJk7uHywsX19ce78+dP1QeHDt+rXWwc+zEubMHh/taHZX+0eX2u247eeL4+bMX5rP5YmO+WMzuvvfWLuYPefCjhtXuubNHW1sLZhf29xePP7t44t33TatnvNijX5o2G6e8955ha3NrsXFsuZztLdfjemyToPWzsrmxWYq76A4Ozib9TTeeuvuOg+2t812/PHVK4zg+5KEnvWa+MX/6rfccHq13No/v74/Hjql02qoxrobzZw/WQ7Rp9uCHnl4uh2c8dfdgb5p1OvOg7ZOnjlRZtXLxvsN77llfOH/YzfXghy82Nmf33TlMOXvkiz362PZ2FmIal0cHBwe71z/swYxH47jKYw87+ZDXnKbmbFv0/fUPe4mXf6Vxvb7nL3/pcU/9teXQDTGv1x07duqxL/Yab/mQm6+rDLXKU0JK6xjWRalpaOt1s8VwlEHL1ObIeqRjtl362eT1urSpzkpfSst+GulXjWmclgeDL7C4tLdzxz13nDy2PxxN9b57z56995abbnjIvDswBzffcurC+WXp3Jqeceu9ta9oNjgf8eBTy6X+/vFPPX1isV7lairrw9s1XddtztbjatC8qwu3o6Ed3Hr7vWOuT+ycuO/87n1n9x7zyBu2N/vzF5YnTmzcc8fuxs7mS7z8Rr/Ipz/l4Ow9q9Vq1aZcryY7u74fh3bm9PFrTs1PbE8bO1w8m9PRwZlTN57d5ezuuaPD4WG33HDXXYddP21tOorPnKltODHrNU2tRuxsb43jFPKsr10/HtuZKYb5YmNr61g/82w+nj86+PM//vkHX7vdlem+e55843U3KzyM7dIl7N7Rt6lN0zifzff3D6epHB1dWi/vgyeN4+HFvf1Sh9nMF86uS3f48AffuDGL0yd3jvby4oXx5Imdjc3h+htOjeO4fzBlAt1Tn3yhlHqwt3r6U/avvaY/c3r73H3rG284PU489Wn3Duty8trNkWH/0jq6cua6reXhdOrkVk79LQ950DUPv2Xnphe77vj2ucO49yByfRR799W+5P59uXZc89LHH/0yYw5junazU6eOndne2A/fe+3LTOtZ2z1XYyM2T5+4+WGnb7ipn1e8mOQWGQokeibbANiaEVNijBzQJziWOaHRzhx9mLS08CSnFelD57m9s3c/5KbZLQd7l+7av/D7tZ/FbPPgrjunY6fGjfm142pj3l/qN1bNebQeNvuAabFg1fLeS3vX37wVTvX13F5ec22/zoudj29sXjzYW8+7nWNbp7a2T9xx9/nzF6aLHO7sHHvYg7Zb8+OfeD5KrPNofmxxcDA849bzD33UqY2t7Z0TMazGs2cPxjHaNPZ9qaU72N8/c4KdndkwjadP1uPH6/lLOnGyHB0sT28e39w+efHChTvvuHju3MWXeKnr2Z5yWm4uYr0Kj1ObxmzTapl9Vzz1yyMf9QclNIyr1rzY6MZx78bT45mT49bimic//h+Ob823juc41NL1Lu1g/8LupXVfZhePLo3TmDm1PLIvNl9aD9my29tbb+/MlodHj37Qg7oyn23p/L3KaadNu7VkW0/33X04nykO+q1jcc+9h0cDJ07tXLyQwzK2NmYnj80e9chT588N990zPeyhN6vesdiYtk/ocK9/ylMv7Bzvrr9+K1daHs4e+8iHX3dm6wI72Z3kWF8ONy4sp/u2b5nNynr3Hjw/cf2Ddk5uTmOXULp6fCG3EWtn5+R4/Utq54JKne0cP35yZ1HSmU6n0/YEzpZpQCJtLIyEbUkBgQQVkpY4gjRIAZIsmrPZ2jp95sVee1ivD46aLyzLi7/kzQ97xObhgbtZM+uL55dbxxjGw729g9m8P9gfDo/Wm5tbt952tpSxlHLfuaUqp6/tSzCMh8OwPnn82q0dj0PXcSZz/pSnPe7M6dNbW8duuOG6+87t3n3fcj24X2Tfz/f3DiMqCIphe1uzTkfLcXk0nLl26+TJ7fVqNK1GPbjUZgs2Zt36qJ3fjXvvu+/Yzsa4qgf7R3ffc9+wXr/0y11fu7zj1ksb/Y3XnHn4er2KiIu7l1arVdf1tXbDmloWfd+jKafh6PBS1mO33/UXJVabm/Nz9w6LOQeH9x7tz+bznYhjSTtcDgdH03q1Pjw8UvG5C+dW693Nrfk01L39S92iu/22C8ujcb0eXvYVr4l+99x9q43t7tTpE5cund3a6bvZtLWtYDvHsru/dzBMR+PqcH917PhGKTp1st/Z6beOl66PxWx24oR3jlF7SszuvWd1zz3t0t7h5kZZLLRer687xZyD4zN3xx56+3C8q5SN7aHbmG9sRLdZd46fOHFyZ3NmRSllVsuiq4Ih27plk6Lr5ttbG5sbm/N+0ZVAIGNAgEISkEmmnU47bZuWnlobWhumaWg5TBom1tkmAGEMTmOQBDWoxd3G1uGdf1uuObOoMXSdiutikX3tjx1frA6H5TL6xSZSEocHw4WLh6ev2biwtzcNs3PnDvf31uO6zhdbdeZhVcZhYz0ezOZbGecP9u++8cwjZv3GM+58mrq2uz/s7R/Vvgtx8nQ/5nj2vvHcvUdVZWOzs6aW3eHB0M/6/YPl4eGwubW1Wg195M3XX390dFRnc5drNB5uzU7ddGzxEg87kzksx9jZ5IZrjx8d+fjOTadO3jxN61prlDqOw+bmxmw2m6bWdbNjx7Zr6fZ39/pZd9T6GM+ev2/1jNv3Dg+XG9s37O7ds7Xgxhtvbq27795Lw6jVetw7uKTI9bA6OtxreupsPq1WB4ru7LmLWzuetLp06eiGm2abm3HseOnrYv/i+vQ1tZS2Oiwt29bW5n3n9Ix77z4a1ptbs42NcstDto4d65UMy9XxndKVdux4t9qPS3v7/SLuu69d2h/veMal5cF0/MTGIx50/Lrjx5ZHS5XNI58qi1On+uXYn7iUPWqbfddKP5/Pj28v5rOY40WJ6NR1EbVgD1MOjSil62f9bDavpQ+ZbJmZ2aZ02nZmOgGBIoQN0dSZsI1tx2SlIk1a6WgtW+bUMpuzZaZJpz21jH6+d+tflIc+/NSZUxtRyKl0XR4tl3g2DKNjdu+F3Vufcd9iNjecufZY6cvO1rH1ajo8WB0/sX3DzRuLjVrL7OLFw42NrWFVpqnbP7z71PETN193070Xnra/Xh2sp9k8+ln39KfuzvuuhA/21xfPtpy0Xk2751fnLwyrQ/q+P3d+1y7jOrO1rZ164szGat1F2apd3d8vb/gSj6nj+rotzxmG1f5du3t33Xd07327UrvhuofN++NHy8M06/WwXC43NzenqQ3DUKu6PsbxcP/CvZdy655zT3vMIx556zNuV7+OiHl/anNz6/zFO47WdbGY7e8fXNxdLdcT5MbGxnq9msbl9tbWNAzL1YXMsdTZnXedu/bGxcMeuXXimGfzWGwQLY9tnJLWXR/rlaZpf9afKIuNbmfc3x2nwX1XxyH3dldtXB/bmo1Ne/vqSoYUfWZy9z1HR0eEateVm245/pgHnXjEDWecbWN+6uL+tHv+HzZnZ1Y6fm5v6aML29j9BqJ0Najz5e7MrEuxmVquVtNqaGNrDRRRpaowmtItaekpM9MtnVNOLafmNJm0pql5PU7jNLWWLZ3QLENmZtrplk5kySghk7SbgYw6u/T0vygv8dI3PfqxN5y992hza37djfPFosqbqDtYLw/H/TtvP7+3e5BTm6axZe7t7q/Xee11J5xx3z27/Tw3tzY2N49N01A5IbEej47t3DCO7fCQO89euu/eSxfOHZ299+DChf1Zn85so4dD1stpMavOPDqYVsss0Q3D1KZs03Swf7Qe2+EQd188d/bc3la3MQ7zQjta3lXmy9Ui10w3XL+BuemGnWuuuebEsZvFQtL2zs7R0TLTGxuL+XyxXq+3d+alsjq8r986/vv/8JR2dMfWsTPZLi6H4dIFnz7OLQ966JOffvuTn3Z+a7G9mG+YBTBN02w2D0VrU98z5cV+psODad0O77tndbQ3PvrRJx/x8JPHjnXT0o989M7p4zuhaZo85XTtDbODS5tPu/WuJO+9+/COZ1yK6Md1OX/f8oYbNx98y8lMZn2/san1sO7m3jmx2L003nf30akTO7c8+NS8bzddM7v7vgvz2antzZN33PeMo1V/nx5Uu+4UKx/sb3VR7aJxEy/aut+9a9BsLF1OHsYcG8PUMnNKC5QJStNattQwtqnlNOUw5dByPbb1MA3TNI4axxybp5xst2SYPE5tmto4Tm1qU+Y05Xocx2lqLcfMYZrGlkPLlpmtWd3u0/+83PSgzRtu1ny+ISilbO90s64/WsYzbr/n1KljNcrxzfkN1xzfP1rWXvPFIkq0Ns0XdXd3tV7Tsh2tDtfrQ9r26Ruuv+vuu4/Wvu2ep25undrbu2hNrWlYY0/D4DbWNnmcOHFsfvLEfNbH5uZsSu8dHI7jmC2nKYFh9KzEw6870aWPjg6nOP6Ep/1Dt7E+d6DdvXE1TG2ikKePXbd7sHbONzdPLRab8/l8tV6paDbr+75OU9veXEzTOC6ne3K+e++fzGI2m80u7Z8nvTnfOnVypy+LcZxuu/ueSxePbrrx1NRWmxtltTrwlG1oB0fn6G4P+vV6f29v2t2brr2Ol37Zk6/08jfMOw+HeeMNm6IsVwf3nb04TVouh72Li73DvOf8nU958qW9S0NXu/lspmg4HvmwM111UanBbIej1eFivnlpd7z96fvbi82dja6v3Hzj5rjKO+7x/kE9dqzOu3rt6QeNe2cP9g63c//C4Wq7amMx28zcWe3V6dyiLYd+M91GIqXMabUehqm1hk1EQdhk5jS11jw2xvSUNGtqbskwtjFzbG2YpjTTlK0xTq1NnlprmVPmOIwtbSvT05Tjesqktcx0thyHodHv3fpXdZpif39YL6fDS967ND+2XR90w0PF2e1jec9dl44Ox+tPHLtwcW97ezHbms1ns+Mnts/dd6nUPH5y/qQn3H3m2oe3NtbQ9vGNp9xxfrXKaVqduub6pz7jycP6qJS6Wq4PD5cbG5utrc9cs3Gwv7p39+D4TRttak72Lx2t1lOU8OBaaybT2GoVoWnt09duH66y9Nsv+YrHXvqlrr37bl+8sLdcDl5P4/5imLpLe/vHtwtIUi11GMbM1s/qOK2y5Xo1Xrxw9+yah95z+9+dPN46nZrNjq3G2XyWJ0+f6frNO+7d3Z2uW45PPLh47+33nH7YQ2/cvbjavXD++MmDnPooF1pbtqzXXL8YxqH0ZXMePXG4t7+zPdbC3i7zeT04WM1mszPXnv7Lv7rdOVutzp443i3XfVf7O+841/WcOLktxnEcdo6dXK2Ge+7aj+Wy1jKsdN89q43NxeZ8PuvrNA2Hlzi+OTta7sZxHaw4vnNcvqcf7/b+tcvyiOPHHhRbx48mznS5Ojy4x2XbsVEPqMNSKq1talrV+ZHD2ayCyGacxgCotQaUItuSnJRSM8nMlkmbMjPTEQWwW0S0acrMUipMAGZqGaW2qSnCtt3qlC2zPOghZ46fmF84P42jrj89m9cHXbo0lNmeig8OxvW6be90W8e2ZvN+79Kytbz77nP9fHbu7N7+3uF8sVgvh37WzWfdsOrv2zuYlen8hfMXL1w4OhovXjharsbazWrXHT9x4p57zy82ZhuLDuTW9vf2+1mJWps52F/N+t52m1praedqNZ49Wl/cW5/e7jY3r1ke7V5zUqnVehhf6uVPXX/z4s47944Od4/Nu+PHH+Moi4157eq58+f6vu/6WgptjL5jc9E/fY8/+qPfPLm1deb0ye15adNyVrZPHDv5+Kfvnt+7cOg+3U2HZ2eLeVFIsbe3at7rt/a62X6tfbB54807qnsPumnjmtOzSxeHc/esHvnYk8vluF723UyljidPHj88OLz2muPHji+OlsuIqKU/fmxRire36/XXbtx4w2znWOk6jp3ozp698NQn7p84tXmwf3Q0rK65cXN3dxzGcvLU1rGdbbsm86MVp04fd+yXGseP71yz02/042rzugsbL3bTTrQc7j6cNNsK9Uyju0V0Gwtapc0jC55KX0vUcFejqyWkWkq2JlFDJSSRbUqnIJBC0zSUCEkYG6edHqcJyKRlS3uaJoQUbUrbMjYtm0p/dPtflRtuPnnTTSf3D1oJYtpata17zj7+IQ89cbRcukz7e6tTp0/ed3Hv8HA4eWIbj8vVtHdw1M/KbDZ/yCNu2Ns9qKWuV+v9A2+dekTk+a3jXq5W88W8n9X10MapRYnz5y9Oo6eBnWMbR0dDqfGQG09vln6Vbqlh8Kzrtre2pzZBdrXb3to6fnzj4TfObjrVl83rchxvvLllvzpxanO5Wp+7cKgxn/DXl248tX3NDY9otZ/NuuVqtX9wcOrkyWmatjY2tjY2F1rp2A1/+fjf36q7UW9YjbMbrptHvfTij370M+68j9n8/IXl/qW7N0880sPZxWZ31127s/kW1jTEerUutQ7jpflsa5yGxz/u1nHwox977GGPODHf5OCgHe5uXtodp2l18kzFHNveOL69uPvuZ9x1x3qc6k0PWuxdWpXS7Wz3J48z78vBpXEYp8Viq3Qr2+vluHVMSbn11uWdd17qZ/OQWpue8Yzzx0+c6Pr+7rvvSIbDA99x23B4tFvb2Tj94hcXD3/49t7FdXfuqG20w2NbsXHieM42JuIlrtU8UgcXPdtelllfS63qqrpaulIi3HV11tfaRa2FzFpKV2tXa7YWitls1tXa1VprV2rtaldK6ftZrV0ptes6FKXrpBACl1qlkCSTKkd3/FU5fXqnTSwPh/msUnYOl2enKbe2Z6uV+vni0sVVrZ1qy+ZpmDa369jaepimKWutly4eRDCfd4eHw2LR5zq62cX1cDgMKdU2tf39ZUuvlsuI2vV910XgixeOitxXLVfD4SrHzGlySw/jME3TOI6lFLuduaY/dqwOyzourj139ran/O29f/5H+xfPjX/71+fvvv3glmu2js29XHLsmodZndPjOLZpKhFd7TYXG8ePHz+7XP3pU+7Iw7/b2X5QnnjkiZ2d2ez4tJqmtn9xnwfd/BK7q83dC0+b1e7kmRue9tRnnDt7dMft9z7s4Q8RNYeNYbow3xyG4YA4fNAtN5w8uTh1unvK45dPe9IluXaxvbk1b97d2NB6PW0ttlb73XK13r3Ujo6mqeXhUZZqszx+osxm0Rpnrjk1Tpda5jjYjuMnaqPcfeeyaHHp0p6n6bprTt5556W77j5/3Zkbjw4vbW4eXy8XT7vjrowh686lvKXvN3ZXcfe02NJ4/q6nHdvZPnP6xH7Wm7Z8zTwPlsuDcdrXonR91NrN+r7rSkTXRQiJWV9LyKbWKKVIilApRSEpJBQCur4LqXa1qyUUpVZJhIBaSonSdVUqUaJEkYhusbr7b8rND76mr7OI2YlTJ7Y2N++8467jp4/PF/XoIFWqIm550MnD1cGwchu02Jx3/Wxv7/DmB11/dHRUajiz72ebm4thvT6+ceaaMyef8PgnLvrjgoP9o67OhrW7rh9arsZxPusXXbderYV3D8YLB+sopauzccxpnFbLZY1CerVcbm0tdo7PDg6HLmaaHdvauBDdsL0d1y704OObHSWPli/xkP6xDzv2pHuOlzIrxZvzztM07zWfd8Z333XrQdl+ypP/av/iuHnNy1wY+rnGW645ZR9M6wsnN3buu7S6d9WG/aXXR4vjD3vq0562tRVnz+3v7l562MMfEjFsbK/Onds9tn3m4Q+9bmdL9969e+7eYZhW47i84brFyZObXTdubqY8W+7NVqt+96D93RPuO3dpvHSwLjG/dOng2Iluc7vubHXLo1XXdf1Me5cOnNH3/bDWxsbi/Lkx3O9eWO1fGh7xsNOnT8xPHO8V3r3Y2cwXG7sHZzc2XRbXXSqPPbc6tV27o5ZFcbztH03t+KLfz9n1x+fXbfLki+XuA1+InTH6DEpXiigRtZQi1xKlSBBS2pJKiRDCpURXSoQkh6i1yIYmqEUhsENIKlFqLUgGICRAhdnm1sEz/rLc8tBjp89sbO/MHZu7B3dsbKMSdp66dtbPY3WkUyeuPXdhdfbeS/NZt7U9PzxaKUqbWteVftbt7x0CJUJFXb/Y2ryxZVutlqvVcmMxi1ovnD8cx9bsKEX2sZ3NqOW609vbi9LaROmODtdSiQgAlJkRaq1dOLvc3Oof/OjTwc443Fk7amkPumnr4qV2/tz4qi91wyMefGpzZ9PaWw3jX/3Dvc+45+wz7rpw29333nXf7bfe9venzhw7Wnm594zFiYdejAftbB2blsNDbtgeV2Ob5ieOnXzi7ReX1I3Foq2Wd5xdXnP9mVzeeezY8aODAV0oi/tuuuX06TMbd951YVg2Wt8m1b7d9KDZg27e2t4oXVd3js03d5al1PXBxt33ru64cOHCfq6Oumuuu+7sfeeB0mm9GgvdvA9gtb9xeDBeupiHB+P+/tHFi6s779iHeu31W7V2N954fPfiwTDmajmO0+zuey/ce+6+lvGwm09FN7+YN7fZDatpmf1GX2ar1eqW093prWORy76229upC2NkzCZikKLrsSMiIooiAEuAZbsoahS3lFVKASJUStiOUEitpZ0mhaQIhSAtKWwLgFJqpksJyOjm+7f+eXnUi5155GNOHj91y6R1atX1/fn7jqLUs/ft713SweF4770XhvX0sEfcdOHs+ty5o9Jrd3d/c2vz/Ll9G1z3D1bTFONYSvHF3aFNR6dPndrb27v7rnMt1c1mwzgQ6mqdpra7ty8Ja2NRt7d39veW+/vro6N1Zjrdz/rMNrU2ZS7mixPHZmdOz3d3Z3vn7773tvWFu8ttT9//g7+450E33exp+L0/v+vp9x0tz9/19NuX/3B3Hq7zzLXXzbcWGxtbXe3PX1g+6Yl/c3x7Pus2IJ/2lKcvL9195ph3z126dLC69b5zT7n9vAffcGx7eXj+ms39nZ0TLWZ02/Oda/aODna2p+3jmm/r8CjvuP380eHR6dNb19/YHvGIzeuv2cgphpH1ehpHWm6sVto9uBjRH+xf6rrx2E492N8vZbp0cdrZ3jx9et6XnWl1ZrVeRvjeu/cODg4f+sgT2zsbB4ecPXfYzYPU6mBdYntonL+0v1gce9rTbr+0P1x77bEzJ1UY10f37fR1bLlz6ro6Le+5727vPeVUuVi7xa3DiQP3C00l8nRZb86nwX1GEYoICTdsnEgRCocA7LRLhEoY2jRJQkobqZSChHBaEUihkCxhKLWGVEpIst3NNg+e8Rd1WvcbsxvOHy7uuffx5LheT6Vo41h3952r4wvtnjvfWm5sdpcOWvSl5vzO289NLYdhdxqnw8Mxk3GcdndXx7Y2cmpoPqzPZ7adYyedtc7r2YuXZot+PYxHhwcnTh6/dOlgvRqzK2fPrVfrSyWKxDRO49A2NzbAiJZNUbZ25idPzljKMbu+P/Go64/2jqJX3HTqob/zl0973fd/rXd+25ccVzzi4Q/6vced/Ztv/f2d4yfrfDHncHuxMY7jwd7uDadPnTixNXm9HIdZ329vjrfdfXT62LHS9rU8ePANJ2rM+tnUB+d391c85GJ5sXW0snWc+SNuvfuvjsbl+mjvxIkamteYnzg1v/nm2Ds35Mb8rjvGOu+XSw6Xnm+0eX9yaGef9rQ7T5zcvOUhO3ffebQ8yPlG3dmmL/0N1z7mntvV2uHG9v7hgbZP9EMrT3jy7mIxq/N+tlWWwygxW2wtNqb54uT587vz2r38Sz9EMR3bnq3XQzffPrWRq90/vuWax9x87MF/9qQLdz/1b2956Vu889C7hy1vzFdGR+vSxl3cV9VFLh2dGKZp1nUSmVkjsjUklUjcsEXKbrYtyTbCthSCWku2pMgIEC1wQu06Z6YzQtPUZl1XIoByzbU7rU27R1Mph21qtePkiTN337G/2HQ3G7a2tvpeR0fTM552vpQ4c93W2bMXQ3V7u1x3486DH7Yjcer0yWFYd133kAef3Nq+/mD/8NLFS8O4mqa2XA5Hy/V6PZZSWzZJ09RqxHWnjks6OlyOkw8Px77v+75mehjWSH3fWV6vh4ODcT4/drj2qfnqoTdc8zqv+uhXfeQ1f/Xk3dsvHH3yx7zbH/zlHaVe/9Kv/yYHh/mLv/XXfT+/Zq467MKl5eFR38XOychWDlfbT724uOGGneuP5zOece+NNz1879L+Xbu+4dTpY8e6YYxn3H7+rgt7h+sjphUTh3uXWmt5eGH/aHrwLd3GfHjEQzeObdet7a4qzt473nXneN99q/O7rfanN7ZCyosX95fD0eGBZ/Nqpgja1C02u8VGCbZymA1513q89+LZctttR09+0kFE9rNo2S5dOlqt23qVZ88tV6upm3Wr4dLR/vBij3zxa07N1kdnTx3bOr972M1PnDnz4MOjcdHtzfv+4vnh5tPlIQ965DN42J7mrZTBapNqtr6Pi1N3kKU57cSRrZE2BrANaVrLlg0EykzbUqQTg4SVTmzbgBQKpW27lALCBkKSFFKZbew+7U/L9Tdu7+zMT153w6WLd506NXvEIx60v7fc2z+/c2x7a+vYNLWNrW69Hq+9/kTfx513nm2pkK67buPhjzy5XB4++tE3nDq5de/dB3fdfmlY53znxqc8/Xa1panDquwfHgrms7lUbcZhms9n62Gcpumesxcj9WI37dSN2TDl5rzO+rq9s4NValUXy8OVUTffPH3q9Gs95uTh2XN3nD38jb87+4S792687vRv/8E/PP6pZx/+oFObvc4fHv3u7//tNfONXgeHq/3N+WxctdXh6ujo0Gqzeb8o+9dsrGLa29qc7U6bTEdPv+2+08f62+6446+evHfp8Ohw7z7NT41tnuCyoU6L2sb1PY951OzEMXXRHvbwrXHd1BZnz11UKXedX17aXW1t5sHK83rsrjv3S09qqLPVxXNNJfu5r7m+9HHimhMPfcptfz357N7FPHtuzzpYzNt1p+fzWueb3cZ2Gdd56UKzffL4xvqwa1NuLmb33n1hsSgPftAjxjYjvH+4rLMHdeO9991zT9285sT21oOu25xmN5jlpYFVbNYcN4flQ+a73UZ3YeqOMjA2ipJpm5aMY05Wg2EYm2lJy2yJral5yoQwMbZsaQNGQiqSMrPZiQ02malSGgbsVDe79PQ/q4uN2ZlrT1n98e3FQx9yzd6l6eLuhUc8+tR1N5w4e8/wuL+7b+fE4vBgtbk1Xw9jlGK3k6e2rrlme72cthY7pXjVlquD1Q3XHNve0aVzZ8+c2Z6V/tI5HRwcLLYWUYRpU8uWfd8N63FqeWxnE7SRfrWXvvEvbzs8eaadP7u3XrfVMO3v7TXKso2173fmccvxzRuvvW7/0j1/f+fR0y7slX72sFtuuHC4nm1tW+Xbf+xXn/bUJ5654brTc3ZmR9ecOTOfXbOzsTFMy3lHcuFvnn6xzBdqlxaz2ebm7K67jqbV0bFT12xs7vbz/ty580Wn6eqJRS06XKWDPmaxHg8W3aqw9Q9/deFVXnXRdbPVofuu62bT6VNb9901//u/uudRt5x8sZtvuOtgfXg0njg9f/LT7l5sxqWLdXnYVLyzsyA3T5688e///g4XXXP8prsvHR07Nl5zYr5a6cabTsx3jhbHN85fGIfV7qmTJ6t0YvPMetn2D/evveG68OZ6uT4YLt117ukijm30xxa7u5d2q9p8fdcsdjnavHRxb8kNdfGwPTVyaqu9+ca0v0qGg77uTPStpT0JpSSYWktbISFhcESxU2Bna1lqCWlqTSIUDSRljpIQmZYY24QVipZtmqaQcKo12zUKp89sHB0enbj51O7FulxfXGx2e/vZn2sHB6uTpzaWK5ZH7fanX9zcXmzvLC6cv9jPyqkz28N63VpbHrTVYTzsYdc95tHXtLw43zh9Ye/Y7//24y5e8NbOvO/a3sHBNI2KMk6jxdRyYzE/WA6lxkOuv3aiv+POO+69cPDgm669fe/e1TqPHT82rKYbtrZf4yVueNCpja2dG//wqZcu7d6+OxbIl7j52qfed+Hvn/yMl3mJl7737J1Pevodb/AqDzpz3c4qqjd3LhxOe/dcvPfc3qXD1cNv2O7rwZPPdSdOrx/+kFN1Nk+X7Z3NbdXT11y3Xrbzy72ydf0pz86f3zt3uDy879x6qIq6vbW9Xo9no1XP7vHg5kc8qAzXdfddWN94zfbN192yNzzjxMn6V3//9Lq58wqv8PCzF55xdve2YSwnFyef+uRnbB/bPHdOd9954eEPOx6s77rvzoc/LLpYHj+5KlvsndPtd1+ox3TLsc0//r37Ll3yYqNubrWDXXt5VnHYPB7un65lvP3Op22c71uW2Wwch5Hxts2Nza2NE4tObRpWR0lGbN00oALLljt1aOrPH/kYQx6dG7vjU3QlHCFUgNbS2M22FCGAjBI4W2uS2tAiSpQYx2Y3FLZbNpWQkIkoJqbMIG2Hws2tNYYp03V1pIv3ccNNx+/dPXj60+/bOd5c40lP2h1u2aylRJldvHAhwtffeMr2PfdcONxd3nv37tEjj5+992LR5nXXbOzsrHaOzRbb08kTp55+2/7j/+bS3u5hP9sZW4spF/PFaqX1OPb9LJ2LjXkb28XD5aOuP/1GL/cyD7t248L5bvfi3qMefu1fH9t83K333HJy57pFd8Mt1xcd/OofPWXrZNbNU2e2Tl4/06qs9ufXTIuNmx5+fN1vn7j+2KO3rh+3pyfe/fev9+qPvPn0jcMq+3526XB59uwudnp11/5dt965u7u33JnXU6c2z5/fvf76o+Onds7de8c9588uFpvnzp/va9va3JjPttPVmV3XlWP9OAx4LW3dfvvezbdsla1c37e4tNq++JSnzOb5iq9w0x8uxzOnT6+GeMatl+44e/Gxj3nxe+85W2fa3T/avbgsjhMnfO3NRy/1EjvpmIpO3sDTnnrxnnNtKuX2Ow7P3js99SnnTp6aP/jhJy+cX6H+votH11+7dWqrd5s1H3Z1OnX65H333JODZ9uLg0s+ffJBp07v3HfvOaZpPlsMl2Jat2GDaRxa80ap5wbZ0zg5KFof1n6rqqxH7MwEHKXYzky1ZiGJlpmOUGZKauMoSQQC2jROUUpm4wpPIIUMYYUiQiJssmU9PBiWy9U9dx2c3c+9vaPS1e1Ts9l8deHCpQfdfMO9d98GeeLksbNnd0vV1uZie2dqzRfOrxaLzVOnNqY183m/tT27cM949x0X7rjn0o0POnXPPYvlutvYmh/sn10PQ9d1XV83Njf29g4OD1YR2tzaWE6+88Kew7eePbj2+LG9dXfs+LWv8WLbb/DiD77j3rt+9i+ePNbNx9976fh0/rpTi3Pn7wKGmD/x1tunVmrlYO/ifLZxw02zc4fnNjbzT//yokp37mKfuESZL44tl+s2XrJObm3vaKal+73V/NR1N0TJHBjHZdfr8NLh5CxlezZbdvP54ILd1uO0GhQlYra9UFX3p39yh8vp06dPbiy6O25bPeKh12xtbr3NO73c3Xfsdd3WiePHV+ub9i4t77zznqNDlsOq9jzmkY+97ub10269Y++sbrnl2ij10qVLj3zsyWsutTqLk6fmj/v7i2/2No+9684Ltz7Zl3Z1zz13X3fmzINuvvnMtacvXTz887/4y1sefM2pkycectN1GzMaph3fvbT3939352I+67euOX9hyHrivnZimBbrNkaUVXb7Zy+yeWJvrNvsP/Lkdpe7yE84OrY7FJGgkm6tRQkuM1ZEmxqwXq8Wi0XaTkuyMS4RrbVhnGopCk1Ty9YUigisQqiWzKnMcpLriZObWzub99590DScOLFppr3dsUQ/jKsnPflpq9XU1X4ax7Q9eBgPa6GqbG12OzuzrcX1W6euPVzds3vh4no1q6U88pF1mBYPuuXYfRe7o6OjrqvDOI3jVPs6jWNEZDajYbXWiWO/+Jd/u1EXd509eOKd911/5tQ9Zy884roTv/hXt7/8Sz78xR6S626W0xGz6x97881v+w4vv2x5bGd792j8iV/6ndd9lZfQcHjNLZu37T51r20/7t6L9OsH3bKzqJfOnh/6Lf/D457R1F+6eP5RL/1mD3qJV7njcb83Dgd9p3vvvu+hj37FU2c2H3ZT+Zun2Dk94hEPveOuo9vu+stUP6zH+cZmkBfvvevUdSe2d47vLYeNja1pmU9/xt7+3mqzzmYbtfQbz7jt/ImTByeOP2i17EqpXe2ODs9ubG4sPSmHWx50zZnrZoq9zY2t/XJpvjku5lu0Y8Nqub01rz13376/OlS2uP3pR0974tGxE/P1sJ4t5hd271uvDvYvLa+7/tgrvNwrPOMZz9jsjl/c3z+3d7Z2R4uFzu2eO33NtZfyzD2zh65n1+53p1ZjFsV6bJun5tcc2/61pxw96hQvdePO3911uD468nxnKNHPOk/NIlu2bGlHxDgOgBQmZ/P5XPNhGNNZopRSW06hmKYpTWaOzpYpKKVIGqexRjfmJLeWLYbRSbnxljMjfT+fq60v7u6Oud7Y7HaObR4drgTLVQvY2Vl0XXd0MBzf3Jz18/W6db0f+pCHPvFx555y6z/ccfedtz/j4jRxwy3H+kV5wtMuHB2sT5685uzZs7Ne6/XY990wjnuX9jc2NxTKzK7UU8e2Dg6PaqvD2DY356G6vbVx94XDv3jy0w9XY2Px1HvOvtzDH3by5EMaetT1y1On2+mdrc1u69zu8u3f5LUf9qDjN968uX+0/2ePf9rucnni5NaZa8tiNsvGydMbz7htTHorts485Nh1D3387/zc+dufMBye13T+xV7pFcajx6/37zmzqNPRM46decxsPt179+2nT27dfOP1/dZ111x/zeb21s7x7rrr5sdO9ecuTv3GYnU0TquDx77YjadO3vC4f7j1hhtPH9/uxrUvXBr/8i8ff8+9d197/YmyHndmtJzddPPN6+GO48e3ulIXs1PD0ebh8uK1t/Tp7ilP2r/nnqOL5/NpT7r41Cedr2V2zbU7fR+b22Xv4GB7c3F858Q9d1+48fqH33Xn07t+3XX5uMc9/nFPftqk2nKhvi6HrbHePJ581Lo7Y1eHSl9D5WS/umcvbzzev9yD6uPv0zN23bqt+9qGS4zTlGlnRokSpbXmzEzXUmutzdmmCUhnV2trmdmczmzjOEqa2mRbkm3bmQbSGCeQWfuNo9v+shw7sb15/HQ367vuUjJtn+h3js3Wq3WbfO7sQTaHODxYHi6HCO8s+t1Lq9Vq/YhHXXPqmnr27F2bO4uL+wcb21WRd9y+vPWpd9/yoGvbKkodjtYHEdH3PWgYp1JL13VImblarlfDtJj1N5w+fXHvaLVc5ZQKHT++XTv++klPe/rdF3YvLe88v3f33njfxQu5OPe0w6f+7ZNve9JTd3/772+97fYnnPdTnnzhrsNhPLvap8+77zi4/fb9/b31xjyWl/Y3Fzmfl3P3DTvXPixO3LBx/MZjN77YNQ97uTM3njx/39OXR3fPd/rWPfimG29cTf25w+Ehm5c2ZvUp93XaOD0ruZgPfVf7flakB904f+hDvJhNJ0761JnNw4PVU5/2tPMX95/81NWNN73MU57y9DHP3nzL6a7G0e7RY67fef1Xf8XKsBz2ull3tPRf/+Vdf/NXty5XPnam3Hrr3n33jWfPrQ6Xq+uvP9Z1sXNs+8abjz/5SXdt7dTaCcX2xvFrztxy+x1PvOa67tTJY7uXLm3saDabnbsw/MNTb3/GM+7Z3jlz4vQNw/bNQz3e7JTS7oLtMj14Z+Ti0/76zvq08/sPPr15WDeXU6vk4AKSsFHI6ZYZoUyP4yBpag2IiNZapqfWpmlcD0OtXanVxk4AaJkKYQO2W2t2Nury9r8sp84cv/a6M41L0R9NnnYvHB7f2Xzow645OjhaHg4C4My1x44d23DLqNH385bjxsap/cMLp070x3ZmJ04sbJ08ec3Ucjabb25EP5sN63awv7z3vv2NzZmCKT1O0zRNrTWbacz1epjP6olTO2cv7M5Lv1jM5rPZwcHhg26+ZWdz655zFxXLxdZstYprrmtnbl63ftrd0133jn/3tAuXpov9mem2c+fv3NvtFv18tl1Ld2n3aPfS0WJb66Ue9ohr9vZWd92x25980KMedozYGLpjQ8z7fr3g9utOOXN6/DPGi6uTZdrPsV2j+/7qyWdVyunt5anjRzffmBfOXlwdanM2Xn/N8KCb8/rrolT3fWRrY5tQHBwcnjh57O677nrwQx7UWM/6NubG9snrFxsHtV180INOLGLzzifeu6j5Kq/6kCc99cL5C8O0aru7h31XHvKQG0uJ2WyTdK3jepnz+fzkiZO7u8uHPfgxe3tHjbO3POj0fffur8c2tvW53fWTnnru7Ln9jc35qdM6qsemY49dsZjAzqJYt3jk9vIRm+MPPmV+fui2Nuentuu9B76W5SLGNd1qHIuq7dZaRGlTU0hFEaGQImxnpo2kzIyIEiHJeMo2jZMkKVprJUJSa1NrE9hu/WJjuPtvy8Medc11Nx0/XA6Hh4e1ztpIEOO0Xh6uz963K9VMVsuxhGaz7tz5vX42Q8P25i03Xn/s2hu7uRZnTl7f9Zu3PuO+YTpcHg17l9bD0M7dc3Bh93DKyc6jo5VTpZYSkZ5KKbVGlSW3aXVwtL7l5Hbfx+Ofdtt80e3uXbp46eDhDzr12m9yjbph97567Y3txlvqddfsPOPe849/6vJwP2+8ZfuaG+cXLo51zt33XIzg9DXdMLQbbjpzdHRUSxwcrZ9x67B/cHTDjddee+ywz7tuv2us4+4tJy5ube7LLVp9xm2XXI4z5UYcPv4pT7jjtgunt9Ty8ODSxdtvPR85PuTmbnu7nb3n4rET3d13rba2drqu3HvX0bCuB0frl3rUy9z+jLN0Bxsb8ztu24t24tVf7bUPDs/fe+72e49WG9t1eb5savEGr3nqVR67fc/FZezMZqNV2D6+s7MzK8FqOcy7jcPD1XI5ltIfHeTYuq2NU0940lNvv/OcSri13d19UTNzuVrt7i5PnDxuDi6Mp/LGNyTUWk7TNI5tI9rDeeod662TJ4/dfKa/eadev6WtrRKt7Y8aWy4zyTC0THA60waXUjPbMI5d7VqbxnGUBAJaa601o/V6LRFRVqtVLaVltpbjOAJRClhldnjbX5Trbzm5fXyztVwdrcfBq6O2e/7g/LmDxWIuuqPDsU1kcrC/unjhwBmKUETXn7z5pmP33qvz91w4fnK+f1F7e5y7eL7OYmNzvnN8juK+ey9RcprcWk5TOzpaHj+2E6H1eghx843XPfzaEzcdnx8tx7d92Ruv3era5OMzzHTpYPWqr3jy4S8Zz7jj4NTpHXl15rqytdnffvfBnXetax0f+9IbJ073991z9KhHXH/qxLGnPe1C12/cdffebKMMY7vv3v27bj84cWLz1V7pwa/3ijOVZ+zde8+DFwcPOX32Idce3PH0O8aD9bGt+dNv3bt4++M32v60PDuLOLFT54tYLbObxTXXd266567dwxUv8TLbW9ubtz19OtibHv/39x3sgTXvTlx35obarxdbq9VyF+ejH3tdsjp/4e5rr+f4yZ2jfV86OLrt0sE/3L7/+Keco9VXf9j23952cfNUf+MNWxfO70+j16tml9It7rjt4o033li7uO/swUu+2Evfc899Fw/2h8nZpr3D1Q03XNN1LDZrFNl58tji4qX1XXv9WHf6xcKtpWse3Hfbwez2PLN72C4sI6M7XLezl4azw2w+q0eTJjrsqU0lonZdidLaZDwMY2tZSkjKTEm27RyGMSJKqdM0IjJtZ4QyMyLsLKXUrmvTJGiU1Z1/XW588I2b21vzhU+d2Zmmaf/S0bzvp8ltopawfenicnfvEMc0NlxW62FrZ7E4ee3ZSwdPePwTT5yJk2e8Xu9ff91Dk9mYq2H0ufOXxpH77tsrUUsV1qLUE9ubB8ujYT0M6zFKOTpaLaL8/a0Xhqn15vzF5SOuPz6r3e3nL+0vD17xta65sFz/1V9e2NzMxzyqd/EwTKuVTp7aunjh4JVf/ZbWht0Lq61jaq3deuv+fWcPrzlzfHfv8OBwfeLE8cNdHvvYjdd59a2j1Zpp/WLbi5d9TPfwm2dd+MyJ2XVbynUcP7bJcE9HUzvc218+6bZz+8vVqVM7y8NhZ2fe1UUb62LWXzrnpzzhYPtY9LP+8X9372o5njh56uy9Z7e2+u0T66BbL3nEYzYXm/Frv/xni8V8sTntnvdqbfXZzfLuu6Y//asLd959eOFw+RKvdO1Lv+zp8+eP7rtnWB61C2dXt99x72o9bG+f3NnpSnf4kAfd8mKPeJln3HHr9tZs0UWUuHi4dpsgjlZu03jy2OYjbr7ey/Nt90n79z51dvLRsX1mq7QT3XiO4za7B+ujMe9bquYQh3tlPNopLuSR+6glM4E2TdM0la621iJUuy4iWmstMzNbZlerIaQIWapdlaLUYmitAUiA7YhYr1eUfrr378vp6zY3txdRaoSlmC/KbMY4uuXUdfXhj7j27jsvzbvu2PHN2axGaLGhKLNp9qBz5+8Z984+7OHHg+Fgj9tue8YN154+feZ4mdVz9+3d9vQLfdddvLi/c2Jj1vfLo3U6FVFLERG1TK3dd+FgPuuOVvzp393xhLsuXDhY33s47A+t36yv8XoPvu2eo6c8abfv4mVe6tRie9H33V13XYpuXMzjtqfvtSmniRtunu3tHezttevPnKzm7PnlwcEYatPgrS0fmmXz6XKsn/tcPSyZB3W88+zZY1vHu+xvvGbn9AmWnlbpS0et0Mv1rnsurZfcfeel1SE33HjN0cEwjbPdC+Ns1gNF80c++oYzp4/VWm649iG33fHUSxeWW1uL48c3L144wPWmm6/Z3ukunDu85rr5zs7m/q5Va1Duu3Dx3oP1sOa22/ae8YzV9ub28mhlDceOz+bz2alTGydPzbouXvrFX3KuU7/5O7/96Mc+4kE3Xn/XXffefve9J44tprEtV+3k8RPbi8W95/Y2Nvo27q3vftrRETr+kI0uG/3BUEJZaqmhTtOJMvY5ZFuen7pLOSv9bD2MpRSQITOnNnGZ7ak1zNSmWruImKYpSpmmaRqniBjGCYHdWisRAttpj+MEatNY+sV4z9+Vhz/2wSdOb953z/7+0dH+pUOVOk5er2N5NEg62B9Wy2kxn21vb45jG8c238iuX5w8ff35u574qJtOv8LLPzwd586tlDvbm91ic+NJT76rlDKs1ocH6/nGbL6Y11p3Lx2thqnr+1K7Ugr2qc3FjZuLx545vnuU1xzfbNPqaD3sXTrcn9Yv9WrXHrtmdsfty0sXppd7tRPX3HjyyU+6ZxpluqNlG9ccO6X9/amf58bOYr0C62h5dO7Cbr9Y1Oie/MTzxLjYmk/uusUUs9jL6elnl2f3hllfV4ft6Xfsn7243t48th6nre35Q49v3HJiRmHv0P0scIbi8GB1x+337B8e7e+vbn7QyX4xLhbz06evu+76Uxcv3HH9ddfdfffq3nO3v8TLnD52MsxwuD5YDbnY0sMfee2l/Usnjy8u3L1a7PR1ERcu7q/Hdvra7STGUceOz4ehXbp4dOzE4sabToF3jm2fO5e33b430/bBwe7eePbS3t7f//0TXuIlH3njDdd3EeuBcxcO7r7n7N7+ajVoNa0v7a3vPbt/7zMeR/Ni++QeG6i0aRrGlcfl4cFRV3S8a7vT9sXcPGoOlYhorZVSDJkZijY1bGd2pWZr2VJCYLu1FqVIZEvhbK1NrSiwIyKkcT2UEm2aiujnm6s7/6YcP73VPI3DdMONJxh1tJrG0Xt7q/msE5y7b0/S/sHRweGRk6m1HNqx7etmm93hhXtLqTc9pO5e4BlPX6p2B8v1U59+7+23nsNtY7PuXjhszavlehjHaUqb9XqotZRapnEa11PiO87tD2PAtLFzzbXX3qyYrrl565Vf/SG333nxcL/dftv52Wy2t9/O39NOnT6+2Kx//7f3PeNpl17qZW6+5tpFv8Hh4XTN6esuXthPabG5/aCHnjxxqr/t6RcVWq0TOx193bz5lq2tHZ0+dd3e7nhivthadMd2NldD3HH33adPHputh2s2Fg+9fueh12ztbC8u7u2vG+OUKCZrvtldunT+9HUbXe0359edv3jxb//qKdddd/ypt96xvbWzsTlee+3xs/dduO225d7eeHi03/czj8f3L627MnvSrRduu+38pYtLle5wfbRYzB7z2JtvvHnrwtmjYdV2jm+0qV44d3T+/KW//Ksn3nvv3oMf9GJ/9Od/PurS4cHy4sVLt99+x2u95qt7Kts7Jy5e2rt4cXdjayapVO647eLhwUTtH/bwW6b9o3P33NntnHLplvuX5l738+1KPuL4Uam+62hWa81srbV0TuNYa83MaZwEtdbMXA/DOI6SgHEcExvaNEUEUpumUmtma62VWob1sFqtutqFNE1NUjffXN3x1+X4qe1+Xm25tRPH+oPDFXi9Gjy1dEbE8nC9mM+2tjdba1HKuBxvedCLn9s9m7l34tozd9158c7bLh07tXN+98Lh0Xju3GoYpnvvuXju7IEdwzhtbi2kAG9uzpfLVWZ2XT06Wu8fDe5Lhg73jurpx974yu9zx+qGjRtP1v6+9XK88/aje+/e7ft+f7fde/e+7XHMc+cP9/aWw7rcd8/+o1/smgc97Jo/+v2n7J7fa5OPDovKeO/de8OwWmzUi2dXbepWq7Y8HEvNUlRDy+Xh6uDo7LndEpt9mR+tD647WS4drW++5vocI+muO7P1yGu6a49t3HLN8et2ulkfU7TDo6FfxInjW8ujPNjLJz/pGdeevvnkiRt/9/f/fBx5+CNuPn/u4my2eXSkS7ur2aK/775hZ/Pmc+cP94+WT336+b2LE65nrt3e3losNmcR9djx7p67zt91++HWdrd78eBoNdx7797B4fohD3roQx/6kn/5t380n+v6609sby2g9N3WEx73xLPn7tve2S5Fi0XXdWX7eD/ru729VXO81GNf5vaz4/7efUe7T691vnnyxlzujUfnl6vVJbp7V/2UVYFhnJqNUMvMzK7WcRxby2maSonWWma2lhEBdrrUMk0tM5GyZam17/txGEsttZRaK7BYzMdh7ein+/6+nLzmhJVbW4s2rYmp73V4sM5pEHX/YD0M0/bWYrExWyxmpZTdi3vKGhvHL124Y2enZE7jOpvbuXO7d915cVjn4dGydHVv7yhq7fvZOA2zWd+mJmlzc1ZKWa+mYRgNW1sbfTcjY7Va9sdeauuax65Ti+PH29FTz91ztqjOZovDg/XuheU4MJvXSxePxubEs1lZLXXfPftb292xk7OD3WkcYutYvfuus8uDFPP1so1jOzhYnT93VEt/0y3b11y3sehiPitb2xupWB2NuZ5KdLlanT52887WbCEfW/TX7NAXn+jilR95w+u81HUv9aDtN3q5a1/7xU8//OadR9+yPe/ZW+1c3L3vVV7lZc+ePXv+3N5rvs6L19ny4u7B9rFOs+Fw1VTlOh47Ne1e3DeZOR47tmg53HLTsUc+8vq77r631Gn34qWd47NTZ2YRbB+fq6sbx+b7BwePfeRLzJR1cffuOUvKnEy6aXOxWI17p645Pq2Hvltc2j1qo0vUqQ0v+/Ivd9vtl26/59ad6x6Uq2UkUUvXDg6Ojrx1enfVDfRRNLUEDIDtNk1HR0vbmdlai1JCSttQShmHsZZiABQBBob12mln2hYArbVMK9RaI7r1XX9bHvSw64+d3ColtjbnB/sHNtnyhhvOrNft+Pb20dFKYmMxW6+H9Wq9PFpHlJsefO28rraOzQ8PVhfOH67X0+HB2ujC+YNSZ11X18MAms/6lpnpo6PVajVNI/uXDqac+q6PWkvEOIzL1cpTPPrl3npvpf39/TL91cE9j18fttWq7V9aRmgY2jC0E8cXURjG9alTJ48d2zzY23vYI493M+1e2tu74HvvOpgtYjbf2L1wtDwaxpHloY8Ox42NjWEV2yemmx60fWm3bW3NptGb82sO9nTy1DXbOzffd9/u5s6JJC/dd+HChfXjnnr+yXcuzy/L3z/13JPu3N8ddOu5vaffvbr3oveWTWV24ZLWbXdW50972q3Hjx9/s7d+6b39u8dhreBo1S7t7rVR11y3dcONp87dczhf9NdePxvH6eSpnVd8teujrhdb/eZOf+L4sb1L69VyIMu118wf/LBjlIbaa73sG20fv7DiDrdy5x2Xgr6fs7+3fOxjHrp/uGfKdWd2NjdnbvXwcDh+fJMaB8POfRcOsj8eMVe2cVqvV+v+2kdrfmIcx64rAcMwpt113bAeWstSiiFKlFLGcSwRtgGQhO3MLKVky5Zpu6t1vV6XUrq+G6cJELTMNrUoZVivBaWbj/f+fV2vx2OxebB/NK5Ua1fUSb7tGfdsbmztHRxGqeM4DVNbrgbBepy2T+5ccyMHF2d33b23PFrPFvPDw3Xp+0qsF+5nms1iPusOD492L00bG3O7zfquZW4uumObJ8c2dV09sVhcOFzutXbTia2Hnb5uUe9d1HHoJk15uL+ad/Oz916Yz2Zb2xtRTOjuu3e7rhw/tvGwh153x93nb7jl9LGTJx/390+/tHvU1frgh9/Qsi2X643FzsWLl1bL1c7OFjAs89ob+5d6mRvP3bdsOZzK7mlP3rv++sXh0fLBt1yzXk9D6Z52522zIq+n1aW9h0yz4+v+55/xjNvOLjfmW6v10crr09cc39rUdHeeOP2gu+/eu3j+aGcnifFVXv2l/vgvf+dwf3V88/jtzzi3eWqj1nrbHRfpG5oe/KhrhsPVffddOlqN03gU5dTQLm4f37p0blgv89Yn7104tzx1en7pwnr75PJhL7V4iRd/2eOr9pQ7nrpRju8cO3zxlzx95zPWF8+tjh/fbDkO67ztGbe++Is/KLNFNBUfLNer9diOdqM/s7F9Q928ZnW4Xg5Hm9ddtxyb0n0/y/TUWi2lRFmv1tM4SspSMg2e2phTRtdntnEcbZdSp2kClkdHfd8HTOO0HKdSiiSaZaZpLKWkSLDTdu26qU3TNJUTZ45tbC3Gcco2njp94vBwfXiwnM36UmP30mGJLoKDg6M2tXF0RNz44JvGPBqG1bETi34229tbSbFaT1FiHKdMD+O0Xq/tuOHMsVo1ZW5tLSTPunLqxPbu/mG23JjP9g6WW4vZI0/tKKdbb/37w3ueeOP8vv1Ltx4drruq2awXms1mUWIYhtVqbJMOD4az913a3Ts82FueP3u0WrZLF9fzWX/89Gx5NF04d4CdmYv5DJzp++6+9Oqv85Brrz2xv7d62KO2oJy/V/sHl+YL3XrrnbuXDh90y2MODoen3X3vFnrNnfp6xx/Snah/dPa2MrLV5+kT/cNvOLERPrbwomdr58z+/u6Np3ZmW+XRj9kZ21n3sV7lpQv7x47v9LTF9uLc3sE11+w89JGnjh2nK+1v/+xsm7qbbj7xmBc7friezp5dnb1zPa5jd/dwtZyuu/Hk/v66znzx4OBYPuTw0rm95bnlfmn2rE8m3XjD6Qc/5BqhW2+9Z2dnsX1sc7Uazp+/sHvp6NyF/XlfJe0t68H+HfXkw1psbF77kMWpW2rp0hkR09QAKcZhzGwlwmYap2EYxmF0OqRsDcl2rdV4GqcIAbZLKcLZEslp2zLjOCBFKX3fOV1rjaBR1nf/be262trUdXXWl4P9Qztbm+xSat3Y6JdHQ9fVrivTlMPQjh+fHz/ZrVfj/qXhQlvO5tVORem6OrXc2l5kcvdd5+yopdvu68WD1Wq53tqY2xwdrafVuZPHjrXM/fXQ1frYa4/fsH3sxGZ9yYeccVM/0y8/IXYVG5vdhQtHwzBEifUwIs362Wq1WmwulmtWewfHd7bvubj3yEdfe+r0zt13Xnrqky687Ctdt7lVnvbkCzfedPKuOy7tHNu8lMuNjfne7tFydXT+3LBzbHbP3eduetDx+ezE4//u3qffdvaG633p0u7+wf6J7a03euxDrtu9986L9+1fXz/yYS958+mbNsL0085iwz3nzl94ym2X/uy+xTu94jUXDk4+7ukXyjRMi8MzO7NTm93h3qLrNAzjpWV7yDWnLty7v/WSJ5cXl13Zueaak8ujfPGXuObuu/fvunP5jFuPds/lsNrd3Op2tvtnPOXsq7/eLSeu4wmP37tm+/o/+8s/O3ntdsvD1RHzrdlDHnRse2fn7jvvvfeew2xN0Wdr+/tH8/litvb+0Xq5HJZtGMaLXbe13jvrsjH4mq1+exgOQOPUJE1twi4lhmEElRLT1CQktTZNjVpqy2aYxlGhUkISwun1sHa61pqtTVOrtZRSuq6zUXpcrRXR2jThMp+XKOX09cfnW7MILxZ9dDp/9tLOsZ2IWK+H2azHlrS1tThYrsachhZl1l24++J6aLLuO3e4sdiopURoGMbZvD86XA/rFnTKttjoJ5eUZwopImWXeZnvzPoHHzv2iNMnxmGazGqwFbv76/3V9JRz+9pkc2t24fxqa3uj1BjHsZRSSj+OGUGb2mw2G8c2jXnstK65efvixSPCm5uzu+7cXR+1WrvDg9XRfrt4fj2t2s0P2zx+TbRJFy6MCncLP+HxZ89fWB07uchp8/BoOBwubC6mrXnZjTjYKhcuDbde2n3oNSdvPn1yZ+v40bIsNnYO9w4vHvlJF1T7vd963IWDHJiGje2plbZ7cHTNyeO967FjtLWvP3UK50s/6ppztx8sD5oib3rwxs0P27rtjnuO7WxcODdevDANR+3hDzt2fKvfXMRLv/K1q9W0wfYjzrzYpdWFO+++cOnidOrkid0LB0dHq6Plehwn2ylvH1uUEnfduXd0NNx7dn85DBFl76CNg6hnJma5Xml+rGyesD1NzZmZbi0jYppGG4UyHSFE7UpmTtMUQpIQtkIRYec4TWCBnbWWaRpLiXS21gCJ1lrafdePw5htKnU+3fcP5cx1p7aP7bSWw7rt7y2nMbtSxqnt7x86fd0N1+xe3AeiloP9vWuueVDfn9piryvlaDXRxeZiY1br7v5+qaW1jOjGIYfVemPeHT+2uZzGx1x/+mVPHH/w8cVGXy/uHnaz7pVvObNR1PV9DY3DdPfuwdlLKy16i/k29x7sRSldLav1uF6tMZubi3Ss10OtKhFOdV08+GE7+/vLe+7YP9rP2ay/4xkXcbdzbH7u7KXDw/Hs+aO9S6vjx7trrt++/ubZ9rHFsPbO8dk4xL33XCq1PzpcbS9uOjw4OnZq8/Siv66rm8eYdbkoi73D5alamBa3n1s+7fxRr2ir/addLM84f0lju/ewn3cHbWt974Wjv3/absy7s2f3IuqZazef+Ix77zl3uBEnX/IhL4am3/v928/et3f8+PzU9SK03p92tucXzi/7Wq49uTh5TA996PFpWl84N1x34pEXzuZUp5PHbpBYLvdqnW0f3xin9TDmfGMxDBwdjePYZotuWLc777gAsV7mOrfHyZqfnl3z0hTmG73rbGs+6zykQxjjBAwe1uvWmm2FMh0REZJiGqdaa8u0MzNBmJZNEKWAWkuwFJlpW5JCUozjGCWEHN109h/KmRtOd7NuGKZa696lI1vDOHTz2Ww2Wy2HKDGbF4m+75artrE4/qAz/bXbnL7+9D17ezfddHya8tyFPUGt/bCemHJWujZ5PbWjo/3TW901pTzo5OKhD3347vGXu+m6W7bLuq2GruvPbM83Nxa3ndvdb/NYbOJx1vfHTpZ/uO2eMOt1I6OU0lqbz+fT2KZpitBiMU9zeLC68ebjZ+85OtgdphGgTe3gYH38xFYpMXe89E1nHn7TsWsfufOUp+yeuWa2fby/cH54+pN2QzGbzRYbce2ZnZ2Na/Yu7fZlcbjyhUu7rerW/YNzR+6cnRf758Zji3VPMiwf+6hH/vVdPti7b1gP3bycvefsyVPVCxstar10sDpcDj4aV2vffsel+87uvdSJrXG6NJ/Xu+9Y3vuMvY2YndnZvLQ/Hewv7757//TJxS3XnahZD/fGxWbceff+o25+nVtvu30Y93d2Nu+791Kt88PDo71LRxd3D6Obnzu//4Qn3DmOrn09fnzzttv2zp8/GNe5Xrlunyn9jmbb2dbXX9uf2N5OZlGjdLNhapmWBERRZmYmICnb1KZhmqYiARGRbpktSnU6s2GP4xgREq1NdpZSIiJzwm6tZRtDKiGwxOSY7vuHcu2N15Re0zRmWgpJiKhRS1kuj1AeO7Z5dLjsum5ze6eUmhw+7d7dtVpKB7tTidr3vU2pZThav9ajb9o9PLp0OG5uzB587fYrPfjMzSe2H3T9xh+tX/o37jzz4o948Gu+/Evefd/TH3/r2fsurfaO1n/99Lv2+5suzR9zXVzYnJcLqzzy2AbtX1oKIjQMY5tapsGSDpfDsVp3tuZPeurZotje3lwdrHLi0S9x6qZbti6eG+bzzmsd6+qDj/c3PvbY3WeH8/ccbWyfeMbTzp0/u5zNuwc9bOPpTz57bPPERnfiaHnp0sXDzHjq3ecPp2mp6Sl37t29t7p99+CaGYx5w45uvGZ7rFu/+fcXHnJKdx2uH3rj9j/cfe5BN8zbnutQHnTi+LHjs/3d9Wrt607Vl3zYDY++4fpHXF9e6WHHXu0xGy/zUvOXefjpE916g/5xz7hQtiKHOqfE1E7sLA73p4ZN9D5xfu8Oc3Dh/PmHPfRhj3zUQ+67755Mj5P3D5Z9P1tPU0Pnz186Wq5vv313HDNQ9LOyc436HXebbXnR1KM4npvXTGVzNUzGJYoUkpFtR4lSS8upjWOJwNgpO50tW4SkkASZmbWGsJ12Aq21aRrBkiIiyNamWus4jmBH9bnHl9PXnrIyIoZhjCjCtcQ05nq1Hsehr/Pl0bqrdbUeWybqLu4dTi2X66kEJeowTMMwHB4saz/b2FzsrY/WYcpsdbS+5vjicJxGt5sWi6f1L/sPdy63cu+WhzzsxPb25nj3recP7jtY7x2uFhvz13u5F7vummvOnju/0WVHXNg7OloOm5sLHLaz5Wq1Brp+dmZrs5L7q2E9tfWQq/VYCouN2WxeV0fjubMHy6NxdTjcvXt0bne4/fazL/VKN9xw3fG///u73co1180VzOacvevwzPZDxzZc3D04Wg6T6tHyaP9gubPY9nJ5x9MvPeXW3bHPC920N7aj3dXddx38wdPOPvzanRbzErGf5w+OdOH8oBYPuunMLbecWK3bemwPvfmaDdGOVqPXj735Bq/Xd18o15y6bt6Vu+5Ybm8txs249/bDh1y3cf2Z2eFq9ZCHnjx97Wadjj393lN/9w9/sVrvT62MQ/zhH/zJmWtOlEob28ljO31Xdi8tL106cur8ucPl4Tqioqjznf74LWXjRN061e1cP7o0l27rVD+bOxMjBajW0rLVWiUBEcKOEFeItA2tNduAnRKtNUmgzARaay2zlgICbEqp09QkJJV+Md33D2XnxPHS12kcV6t1y8x0BCXK4d7yphuvOXV6OyLWw7DYmg/TEIq0l6tBRE6xsTEXUbtu1m3XMpty3N1fgjIrbTq509+5e3DtxuZpsXnquhsf+VLbW5uPu6AL++bSU++9ePH8USMte5zddPLGh41e/vYf//HB7nJzMR/G1kbbZMsaXUStpY7r9XXbW1t11pZtrlCNSV4N48HRcvfcePae5cbmxv7ear03VMVDj594iZe49u/vOX/pvmWJun06Dw+H/V0fHOThnnY2r7nj7mfUvhvWGcmidlt9d/bsfle6G06dOrGzdWF1dO/+eMfesLHYjJE/unN3Y7F5327+5e1PfeQNJ85fXLaN3DizcdvF+550592HQ5y/sD53fvm4p52752BYevvWe9ZQH/6ol5pH32d3y/XXzteHf/G3d//BX92zubHY7rc3+o1Le8v7zh9ubjz28U+/axpvf8at+3fdu7t76fBBtzzkGXfcfrScRL974bAv/R13nDt//mhYcXS0DpcyW2i20e3cVLevZ3Zcs+Oebc22TkW/qN0iXFEKSyolnGlJCFyCEEKlVOOQpqlJFhkh26UEALZBABK2IyIkULo5J+zMZjui4Iw6a2cfV46dPtbIrvQKZeZiPrPXmVNrjON08eL+OE7DMJ6+9piiXNo9qrWGWK2mvb0jQWvTelA/31qtVuOwTufyaL1ejZsb8xKlV77mg0690kNPx7D/9On6Wy/5wv5Ut6+57Y5nnL3zqYvFfPvYfDksZxu3vPwjHvzwm07+1ZOedOniheVyONw/cqMv/f7eUbbwVLJFjqujg+Wi6/cPDwTTetyodbN0fVkM09ApjvbHvYtHtDg+3zi2Od98WGYs7rjzoBS/7CveuFpN66WmcSo6fulgfftdz3BGP9+oUzk6XG535Y47L164tFoTU2vzAtPsaFpfOLzwYrdc93tPvOcZFy7uHrTV6sKTbr9nrPHIx1578fze4f56daRLF1qaqbnW+TPuvvSM25dPfOq5GsNmt6zT9LS/fNLZe87ddd/Riz32prG2Jz51eeHC0m122x0Xb77++M03PLK284fLc/ecXVocro7O71606pOfdMfysJVSL108uOOu86tla80iIrruxLUxPxE7N2lxDbMTnm1l6ZMos0WUEooEZxply2kaZbI1bAnbkoBMS9hWEBGSWmK7tQaUCLBEZtpkNiS3DAkZsCWFxDQOjZJnH1+uufHk9s6Gk/m87/tqWj+P2Xy2WCyGMS9dOtzemp85c+LYiWN7e8v9/dViY5b2bNbv7OwsZvMSW6UeWw/r2kVmC0Updb6Yl5xduHjp3PmDvaPp2lMn+nE51GNn63Ubs/7ChUtn73zicvceiWuv2d7Z7GmHJ48/6I1f/ZX+/ulPuHj2brncfPODQ3Hx0oFdx5HaLYZJs1lXuv5wPWaUE1snWuPS/nIaVfqdg4N1Kf16ZVMUtZmNxfxglaOme88tz951cOHeg/399X33HVy6uLrmzPX3nTt3tDyKqK151ebnLx7dce/uquVyWu7uHZUxrj2zuR6GY9ctjj14a2mfWx0Ndfj7v3/Gg66dPfrFTsRM5y8cNGfX7RwdtPU4zDeiDbrznkvL4WhDGtbDQ27pj/to89g1w5HbGGM9drD2yzy0v/7kzrxnyHLzTfVlX+L6++7dvnD+9psfPN843vXz/sKlo/3Dtc3+3tHycIwo587v7h0OESEB1MX24ppHxOyasnG9Nk/Q9+rn0c2jm6t0xum0Im0AnJnTOMkG2ylFKSVb2gmUEmDAtiQ7SwkF2IbMdCbIppRiMA4CVErJNACOOuPikyqm64Qz2zAOU1S1plLqbFaPDtdd3126tO771f7R/j13H21tbq0Pl3XWlb5cOHepq1vbx05O06q1JrRaD30f83m3Hn3dif4lHnnzUy+0v3jiPV/8s39z007XbV54Rvf05WqvDhfaaq8N7fjW7Nism2rdnI9nn/Hbv/5b5w52D/rZxoMfevrsxWFj58SO+1ZMnfXdbHW07mZVdmZmsjfbWLUNa65+MUaevPbmw/2DxbHoahzsXZq62d/dvX98WR75cts3PXix8chjanW+UQ737ztx3el777tz9+KlxWI2tYxh3vXz+ebxljEcXpAs+zCH6x/bn9mvdx+2i8vWHRuvuXHrzrsunTjdX+ra7XvLre1+c2M+DNPR4WGdtdPHt9LeXJSXfshpurYzm8eQb/EKZw7uOR/JY1/vrevBMypHjvmFvfPX7Nw9cHz/qO4f7R6dXZ27587b7xl038ETnnHP2d1xuZzSJRfRkqPlavfph0ApxbIcErGx4cU1WbZiftz9IkrU6K3O0VEKymaUExhBkpmkiDJNDVlqIQGSJYRKKdM0RoRNFNmZLSMKmWCQEBK23TJNKbZba0AtFUmKTJfjp4+VTi2d9jROs9nsaLnOplprttZaro5WJ05u1ao26NKF/VnRfDZvLYeh9P3J+WLWzZyeWg61I4JpbIJLh+tp3U7ubJZZ3dyc37E73LO7v3fvU2J9X1vublRuPHPimuMbD7/pxInNWXS69e67f/uP/+S2u+/tZvP5YrFeHu1s9fNFOTxYjsM4rFY5roejZZQ6DkOxS3W6DYO2NhaLfjF4vTPva9/LblM72j/EuVwtld3UljfctHXs+Mbj//4OUQ4Phwvn92uJY8dOoI2Irb7v16v14cFhaytFonjYi5287paYbZdn3H6wPmj7dx7s3XOpVN1962FE7ef10oX1crkeh5aZZ+9ZCSwY4sUfec2Tb73wxKddONH3i1rP7cbjnnLvb//V0+Lkwx7ziOt3uv35fHOxdc2Fw/Xu3vmd7Z2L5/f/5vF37a3Wt952fnOxfXgp77tvr03j0cFqHCbsKBFFWJIkZTA79aDu1KNytl3mm6XrI0pEF7WLWhERApCQRYAkhMAm7cTObNPUjKdpnKbJGClbA0C2pQAjgYUEdrY2iJQIhJtEBCJxQ12ee0LZ3JlHib7vgHGYbLeWpdRsuV6Pm5uL7eObzWRrtjdqOb61uHSwTHb6+TX9LFquV0crSGLMNi763lNrU1svx/OH45PuPru9sXjQ6Z2TG4vj25vHt/qd7Y2Tx7am9UrK5TDdefbo/HK858JB9LPSb7QWy+W4PBrOnNo6sTNf9BwdrM+f3x1Ww6xElElMtFEejm2UMi5rrlervaNL+9PqkFyvjvbdxvVyOY3DMA4mz961e+7ug3N3rp/6pPP7e8PhwXB0MPV1bpezZy+NQ3Szrc3N7cO93WF1NE3Diz/2xutObW+dqIPXilwP7govceOJWV/PnV8eX2ycPDXvtnS0N4m4dHG5d3GYdXNbq3U7d/HwaBjacPiWL7796FOt5KUch75Mu+fveNzj/+KJz5iO3/CYG05Eb+8cf9BRO/7bv//kf3jCPY9/+j3LYbj+zImjo+Xu4XI1TEhCmcbYFpYUUUqJ0s9npx+r7RtcN+t8G0mUUqqiUIoxtiQU2ADGthPbAjsNgG0JsAHbaTtJwDYSraVtGwmcziyBbSFnCykkZ2Zrsok+zz+hnLjmeOlCioioXSm1YMZxKsVRSMv48GB1sL8O1WG57hd91r6fXTvbXNR+7nJkoxhnfS2KNo3L/aEEG5uznZ35fD7bv3h097nD+y4edEWnT564cHG5udnXru0fHGbq4t7y3ktHF/eW5+67tFyNwzDOuilifc2pLmI8e3733nOXNjf6h96yff2Z2XqYVsvVNKzauD482JMzs63GtTTtbHbL5WrWa3uzXH8qtrZ401e69sVuOrYcxqP98dzdu23kloc8vPTHV/vDpfO7RweraXTXb29snVwul+fvu2f/0sWjw6Nhb9WG6fY7LxwcsXd+OHNq58J9BxfPLW+76+CJTzjX7PN7y/lWF9HNZ7ONzdnBXlssuja57zamYWK9etjp+tLXluuO+cQmj7xpc3tjPLaz8eovcZ0Pn/hrf/r0czzmmuPXxnD+2p3yiAfdeDCwf7Q707KNw/JoX25bi67vyqyPjRldSQxRQ+q7stjoj584vXXdI7xxMup8Y7HR1RKhiKKoVqAI4UwpJIEkBKKAkW1jZybC2cAYQAILANu2bQgFAhunAmwhSZktJKdtg8Aqs7zw5HL6ulPdrLQpsWoty+VaUimxXg8qkZnDMDndlfk0OConrj+xXG+4slqvi3p7MqtauhzXmxv94cGwOhwWi1nziLw1m9XYKLXfOzh48m337O6P42h7ymgHh8vTp+pLPnordHS0PNrYqIrp+Mn5Y1/smmtPzSQvV8PU1PXdztbs2jN1e7scLb1YzBaLbrHoFovO8iRwQlssSgmP4/pwOayH7BTjejo6WpfaLeb9tae3Tp/YPlxy7OSNB7v7Z++5N5N+vojSH17ab+PqaH+vTau+slqNlw5WpdTdu4+OdqccfP6e9VOfdunixfXmrJTS7OJVjkd57uz+8mAt5/JolONob3np/KX1Ou84N/zu4y793T3jXz1teXZvdunI9uFqmk6ePH3t9vJ3//Jvf/XP7/zrJ9837h+eqquXeOzDbjp16vy5C/v7F08dn28s6vaiXHe8O70dD7tu++ZTszMn5tubnSL7Wbe1tTXbPNEff4jnx0rXbSwWtYtaA0UiKUqEMwUWEiikQCHEFUJgYycgybZtAzgzbUot6ZRkO5AExjZkRIAkAbYlJNlJ7X3+iVXyYtEP62n/0qqbl/l8No1j13XjOM1n82EYpmEC5TicmM/avKzbjmqtHa0tx3ZxY35mb7kaxv2+j2GYwkWU5bKVeS2No72D5WG76brtG645eXFvsVp1y2FqMV3cPXqJFzu5sejHbI948E4/Y7GzNdtQqdu7F/LWp57bmM+OjlbrYRyHabGoR0ezw6NVV2vXl9VyODhYlqKuryoa1stx8jDm6mi1vdVvb3YnN+NJt+8//ulOcnNjtrWxtblRjx/bvu1vb3/CE542W/Q711yzmC3aOIzLvXG9bstSxWxjBsPOztyOftYv++XGRr9/adjZns+LupJhDtfr48dUShundmnv8GDMKKUlETHlVCJiY97PutDsafcOl/ZXt1281MW0Gg/nVV2Nm64789AbrvvNP/2bn3vy0e2v9dqvveoeu39nf7D/xq/6sn/z9HO/9id/ORB9LdefPnXHPffcee+lvutiHpubXZl1R6su64a72XqUWxBxtF5HRICIKkB2A4yStCMCSZacNul0hNKEUKl2gqWwjUGAI0qbJhuFQmRLAcIGIjMBSVLYzrSEwtAI6rCexGJ7q81D2xuzQtx1cRqWY9/VvUsHs3l3/MTi7H0H05GvO3bsQP3+oZzrRd2c75y8sHfb0erOmGZkvXRhbLlq6zXJ0eGIso1DLXHtNTtn9w6P7m2LxexweXF5NG5szMchV4dHkdNf/v19D7l56+BoGu4bb7xpU3DXXUd7+4f7l46mcWotu76z2d8/nMZkxjRNe3uHOXnZ2ubWonZRoibTvCtlPpuGVrfa8Y3FzWcWD7uxf/C1s1np62zzvnN7h+tx58WP33pfrLL2NfYOV9mGkCNo0zKKpilDOjxcj8OYyfET20eH64O99e3rcXurf+iNm4960OJomD/p6fuX9tt6yM2NMjXvH4wqJdvUzxTy7u7R0WFs78z7GhuzetfZC6dPHNNs596DZZvy75/+jJMnDne2ts9sDffc9rinX/cKL/8Sj9g6flQib77pwS/x2Icf3yinTy22tzZvO7v+9p/4jT/8i8fNWq2z2ZJajl0fbT1FKAwYZ7apTYFQRJEERClqRhbgtNVsLpNCNpKMW8sILrPEFYoAQBJAywzJAESEnbYzLSnCNrYjZNs2dnnQI051s7I8mnZ2FrXvJ3PpYJV4c3u+Xg+SZrN+edRqNxva5pTHujmZLXO1mJ3MqfZa33v33Z5iZ/tYG8cL5y8M4zCM7XDvwHbf94eH6739VWYsB6/HaRqncRgVMYyTlH1fh8H7+8PhwTQOcfHC4cXz+6WUnNo4NeyWbRymUB3HNqzHccrVMDU7zTi2/f3lajVNU5umNk7T8mh96WB8xn2Hrfma43N5OrWpl3/Y7PpjvmFrfMTJ+goP3Tndjzcf16nFeHKrPOrGeVfblKSjqwXTrCgloizm3cHh2Jo3t2azeX/fheHeS9P53ay9DpZ5tE7L15xenDw+D8nOrsSso8ir1RTSajmu16wnN0/zLmi5PFzbXq+Pas97vOO7f9GHvPXrvPjixM7mjTdsnrhusVi0Rz3qzMkTMw/rslzdfO3GG7zWS506ce0/3LZ3533L9ewEixvbsHatOb+2ddupDpUwdgIqARiQgFKKFCBbCJwSCDuNQ0JgCxvAYDDYTttgMLZtAdg2WCJCdhokIrATJ6X3hSeXa286XTtl02j2jtaHw2BAlqLrupY5jYwDpW6YGaxqVRvUVhB1PtuoHlsuV+vhcH9vHIdpGjJbthYy4LTk+XyxXK8yW4mCc2o5DOujozGiltD+3rC7u5ymdmn38NLu4TCMbcpxnNardWu5Wq2dtr1arcdxslmux2nKaUqnIyQZwjYQQQShGMd2273D425b/eXTDp/wjMO7713vXmx7u8vD/dW8i9mU121012zqxu3y4JOzM1uzrVlce7x72HWbm7PYP5qm5mwpRd93eOi70kVZrdvhURsm7+2P45TrIS/utXH0sY2yszUTbWNWrrtm49prNue9uk4myZzPYt4HMOt0bGd2+vTi2Kb+4fG3Pv182dy8uS4vDfc+fdzb60+dZOtYmW/Mj23vnj13cO6+vg4v9aBjr/Vyj3F3+ukX6lrHcxyn6GN+JssGZYYRiUEYwCYNtm2MMQYbybbBNpCZKQCBANs4bRsZQAYgJEXYKMhMaCaNE4ONxRWmdD7/lHLyzDXHT+0cHh0OrUUp4zgu5nOkS3t7Xd+3NnVdH1GuuebkarlerVZHh0dd6WRW07B78b6z994D07Aa9y7tlVqnaaq1ku4iutpltnEcM22YWlseLsf1JEW2Ng3TNObBwWpYeTVMR8MoqUSxNU2TDaiUUmuRlJm2M9N2ROki5vPOtkLYmSDNZ10/i9YyooDsrCVK1LsvTcuWx7Zm2zvdgN3VVLSqSS3caNnXPLldt+c6tvBDr51fe2Jx5vhsc17PHOtPbFehzUU9td3ddCpuOFW352U+iy50fGe+sUGEM7W16BYzzWashxyGadbXvlOIrc1uZ7se267T5Ev7a+yueGu+mM/63/3jv3/iuei3bjzug3J0MbTe3O56jUyrze1NrerkzcPVos5PP/ihj93La/7hjl17dLfD/FSW3qoGnGCEMQLJttNOwKAggMTimTLJTBuwJMBuRGeCtlZOciMn5yiSnMjJ2VCJfiEsOxRpC5wGJKwuzz9JL/7yjzl2evP8+UuYKJEtMzOioOy62iZq7ZZHQ9Dt7x4Nw1i6bnNzq9RuOazvu/vO+azfnHfYR8tla9OwHjc2Fv2s2987cDoiWmaESil2Oh2SjUQJSi1gYGxOE1KotNZaawCCbKWE7cWi67qKycxMt8bGRr9aD21qUQygiFAXtmkNEVFLP/MjH7Q4sRHb835zVqb1tFyNUaMrtU22Wx+e194ioUYFr9YtSlHE0JojbS+HPBqpETkNhvmsU9XuXhsmpjYt5uXoqLkwq4S0Gtp6IiK6Gm3KsbXZPGaz2TAOB4fTculpyNmsnj59cjnUl3mV13ji42579C03vdOrPOjg0nCpHB/6jYOV77j73F133nnX+b1L++P+0bi7v9/cZtc/XHIr8zY75W4WZSZBpmQoRBisgsIWEZKIIlWJNCCcINt2IgsBkhyRl271uX/w4X1qazAGQDxTVPqdOP4QXfMS0S1oo0ESGARQN9pTf7EuV6t6GLO+b83jOPZ9n5nr1Xq26GyD77793r291dbmdlXZmM8nuPeeu0SeOXX9Y1/yVfpFvffpj989f97yNE6S7Jza2LJlI2wAAiQVlJLAOFviKSOQAANpt2bbadsGSijTttuUpeQ4tL6vW9uzYT06vbGYDcM4n/fp1jLns64oD5fr0nWro2EaXbu6XuXieA2lStQuYqqTc5qytZxai051atXYGSVwQbFcDVEC3HJsLTPddZ3lKbV/ZK08m6HS+oguQ87W2tiwVWuZLbp5lNV6Wi5zHLWxMUMWSHQ1tBGr2pYr33bHufmxY095+m233/G0v3vcE3//bx61v98O19Ol/fPTsJfD4bTaoyVFEeCcb9+wvXNdv32cOgdF1AiFIkmnkbEBg8AYJ4gUkQYs7idxmcAgu7Vbf9P3/a3cUEUCjENhG0AwrRgutb1n6Ow/8JDXi+MPYlrbCBDCCEk6dcPpOis7W1vg5Xpda1dLXa5W4GG9PthbrpejVLquD0XXdRubm+oX19744BPHr3v60x9/7x1PZhpLKZmT7a7r0q21aRwmm4gAgBIREYBAkp0IKaBFhK1msEGZadtGIuQSAvWdtjdn+0eDopvN+9qVvtauMAzLbNnPyvZG2ZjX/cNx72BVItxAHD++eWyLjTr1hcW8W/RxtJyG0ZSSNtkilIkiun4m9ensurIe2zSmNAXO5qlNRDGspwzNxlYOj45m81R6vRxLlGFskylFCnVdrV2VGFvs7Y+ZrSve3Oxhask0+Wg1LleeRo/E9rHrh2GSh93d8xfOHYnaV3XdjNJH7aPU6Gb023Rz+lO5uIaudrPN0m+pn0ftSkS2MbOV6IhIyQTIKCUhK1CEBCFhELINCTZG1c/4Dd/7l9QFSGJqDSgRwzD2fdeytSlns86AgmlNN6+Pejs2r3EbQZJC0G1OT/nFWtCwv7rz7F7to85mOR0N63FsmS2dlggVoE2Tare1tXXDLQ9tZX73nXf+w5//8TTs166TAqi12pmZ0zS1nEBg25IAAbYkIDPTRopAEVbYwraxEyg1nAZmXQXXUiQu7a+aTe1DG7PZrNbMYV1LnW/GRq+dDVsTUY9tbcitZWSLjc06nyuIydOqaRpaSw+N1hinLEFXUlEoRVq4zR2rYaC1GMa0p65Gm5pTBdIxTjFmKiK6UJSu9zi19eAhGcbWlSilmOquD6ESO9sxtWkah2FsCGEJN7VpsgiXcb03TT51aufBj3z4Ex+/uzoKRaKO0tVaHV2d77Rux92xVrdNMUpCkkDONOYyZ6ayAJYsQgQA2G6ZkiMkycZYMk6VWV58Ut73N6obYPB6PexsbyEdHBw+4qEPesYdd21vbh07tv2M2+/oux43yozxaLrtd8uj3sY2GJQWmdjl2LGdLup6GltrGAxJa850iYKCy0opNodHR2fvvfveO562f+Gs5K7rpCilgO20s7Vs2cBYkiIkIRESyHZmZiYYI4GotUphI7nrS+0iQl1XFot+PpvZSciZpdSIojqbLza3tzaObW1KWq7Wwzit1u1gNR4uB5q7ElKWiFpq6ejKxqzrSnFrDrnWiKJSvNiss75KpTWSvutnDaYpotYosluz1k2TZcueTB9dT5mV0tWCPeHWd6X0mtKtuWUQtfR9zDai9iGHSq2ldLKcLbN5GDw120qT1nqYpmkivDoMBWiY2tI5ooakUqL2aO7oUh2qUQoKR00UIdt2C4HDYElCEgQKCSkiioRtScaQYC6Twnf+EctzRA1pNQyPeeTDf/jbv27Wd7/3x3/2mZ/wkWfPX/jw93/P13qVV5qm9g9PfNJ8NrONKut9dm7S7JizgYxVel98aolahvUgomWzyZYgO22QwJIkAbZx4pRUSgFsA0CmW0uMZMg0oqQVio1Ft7nRZZtqjVKJQhRhh4RdovRdCchsTmZ9ue6axbxnHKca/dbW7MSJzWM7G6W662ezebdzbPPk8Z0Tp0/M+ipa10fBLbNN1FpLKbXGZI/ZJfPSR1fnYxo5og4jq6FNOUUJKcb0ct1Wg4h5nc2lsKoiLFsQQYRRppuUUYiirq9lIzonU5sSRe26KKpdWH1qNlGi27CUrU0tDSqUEoTGyePkccphdEsDmdRaaolsOU1jG6c2TE63bERfug31m9SdVrokos5UqlVKdCpFkm0AY0VEQQEhIhUSkiQJJEkWBtuWAaSgjXnPn9PWSAhJrbWd7a2ptbPnLzzkQTdfc+rUQx5085Of+vTHP/kpd99zX9dVGxA5aOO62L5BOUqSrdLlhSdX0DBOkhLLWaJKpUBmk7CRBNiWBAJsg7nMtm1JgIL5rG5uzMYpV6ucz+tqNZbi+Vzz+UYm49hW62k+qyTL5TC15pyc6vru5KltkV3Vjaf7E9vbt95ztLunxXy+uTUbxvWpja2+r+tls+bzrZ2uPx5az72eL5KNODo8Wq6nEqynNq3C9Bmb/WKzjV61NutrzZLjsFxbVld0uBrbNKYNIZVWom/d5mJWMzM9tGiki4VC6aiNgMgJRJSIUDebqXTTNE2tScVQaoW5S4UwLSmWUZIgEpW+dlGJbDnmMKUt2UytldJ31VpPjbSkiICwqkqfdUb0fe1TShFRQ4EEYEDGkC0lZAkJBIDAgG0wgBHYDikicmpMKy7LdN91T336M+66597FYvHSL/aYJz3l6S/26Efcc9/Zg6OjN3vD1/39P/6zDRaQSDg9rQBkyU6cBipQay2lrMe17WxZakiSJCGJyyQBtiXxTJK4wrbCpbjv6rHt7uTx7uBo2Nnsxra4eGmVE6Xv1usmOVS2NvuI3NjwlP1yldkS3M9ya6FZqetxOntpQm2x6KOUYRRatGkcaX1fKYvRszb0JQYbr6dZ5GxWp/R80VGYJq0G1ehnfd9FKX32JcZhuWzTmNWN1ZjjNM5rX0s/tlZrrXTjFKuBxbyv4elI2choqKVMAFWqOCJ6VEyAIhQipdFWzEpX7aJakUxYskoq0oTTBEqFKXSzLro6TG1cj7ZLiQi6OpumHMalohCVKFH6zNpUUiIdVYGNJSyBJLBtMhMRiAjZCoHthBDYBnM/CWxnIhHVRkLCdtfV7a2t7a3NzY3Fz//Kb8xm/Ys96pG2u1ptg20kI6l0YBIHdmJjl43NhYjWWmsJAdjOTDDPJO4nyTaXSUgCpIhQ7djemdcazpza1FoeHjVn29iYLw+ncRymYSylINbDerls46RS62Lel4Izp4n9w3EamtHYckrNZ5u1m5f5gtorSGs9xehNuu1uc6v2EWWUMzMVhSjDkF3p6mxWZxtoe90qUUvXp7AyqsKkbamUWrvOpRsnJaWVLjVfj91yrKuR9ZjN0RIiEIow1dFbRaWozCK00TUnRmNqmFLRZ6lZO0pfoqpUG8sgo7QMhqnRpkwbiUyJUmqttetnqv2UTiIlah/dBv1OzE+4zEsEBiIpRaHSqZQISRISQlIEEQaDIUK2ZQmEJBsHAnCCsYnqgzu1PEdUMICYpmk1rB/5sIf88m/8zt/+w+Mf/pAHHd/Z/obv+J7MjBA2gCKufWl1WzgxIlU67z61zBfzNrXWmiVJESEJsA0GgSRJkiQJkKKUkCRJkiSFIkBaHq6XR4Oza1kv7a/aJJnaldqVcWiQwzhh2Sq1OBNcSlls9LO+9l2/PBrWQzOY2s/nJsps0c/mmdmQNW+xNcVWxjyz2UObpnGa1kOOqSlZZ117c91m1sLdxprFwboux9LGpE3hCdwmT2PaxfQRM0p1nasumvrJMSUONZOWnZnTNDXUSV2obGx2Y4v9oyGU4+T16NXgg9Wori9lTsxQraHMbNmAlgZNU2baYEOIy6QAIkpXu37WU+owDqCos9pvlH6jzI4TCxO4BaRQKVJR6SkhCRDYACoFBZdZ2CgiImzsNEgCbKdtAFOqovPFJ6MA2e677tbb73jarbc97dbbzl+8CPqdP/zj3/y9PwRqrWBHqA1s36LrXo6cJGEAlc6XnlrmG4thHAFJElJIAoQMkiIKV8gSUSghIEopRRGy3aaWLccx2zR1XZ2mthqG1nKaXGqUTonGidqV7a2Z5Ja5Xo/Y80W3udnVKKuhqZba1eXaB4fjerTqZpktGjWjy3Rapma31brjg7ZHUtMypwa2RFSVLsvM3U5qa2AxaqZ+Qe2tSpvUBhTpcHpKq9Toekd19FE3gtnkkhSpTpNbprE9ZbolVi91k3U46mBF2uM0LtfT4Wpaj1m7PrpZc83oI6okLNsJtoCWRgIZGUsoAoQUJWrfl1pbtrTToTIr3ULdhroNR2+FcYmCQtFJHaVQQhIILCGFEIAkIYUgIN1Mc6ZAAiAtKQBQTpqfoK3Zv43SC9mez2YRce7CxVqqpM2NxcbGhhAIhaaButCD30DdAhIE2A1VX3xaNSBJsm1zmQErQ5hnkig1JHcluq6WwnI1pSVCkkRmZsuQhmHKzFKj1rJaT+2i+6MwjGN2NVAfETvHFhBHR6vMHMYcxpaqmfSlHD+1s1oOBwer/eWomQLllDDLrBHz1ObgWUv1ZV7YwpPaSCZ0EXPFbNDmFDPTKaJGjYhpnLIb18PqaJ1qLQeGkZmKXUwp0YvOFChJWU/NiaAWQ6Auo0I4aahl7We9Eqag1iJVKBFJaeogCpEmbUu2UABRCgk2ChHIBgq2QM0uWEFEURHqSq2thoNSS0SXhlSRLKUsGlQAjAQIgQBjBDQc2bDSOBRCbhkRdgrZBpDcJq57JdqKC0+0U9TmJjSr1ZlAywTAOMl0v8Mtr8XihHJEBbDtbJkNZwUkSQJsSygCE7KzKSIkW4CCrsaslm5Wju3U3Utl/3CaxgaSkCTJVhoomdla2kwtNdowTUnm8igk9Wa+iFJiGLxOTVap0WeMBrXZbB6lz+imSaKozqZG0sKL9NZUZkUTY05lK7ojZeem5kAFFmNsuVtE9JOQHYroRZvgMKfJraVqKscWHmvtZhG9S1XXVdVMNWEXRRI405AglySQIgqQ6aroaleK3Jx2qkMzSUnINoCEDIAUVsMACpEKyVCrbJcSCoVKFEfKlIhClIywbGVx58ACLJ7FgI2EDWBAXGEnkgHJtpXg1lJSZkoCbBtL0i2v6+MP4+JTODqntsZpAIFBAFHcb2v7Zp18hPutHNdEEQkBloSEVCUASVwWQe2iTU1mtpiXWtfjmJl9V0tErTEM67aaVqsxU1W4aJwmp20BRgYwGc2Eok0MkxXGHp1TrmqU5dAdrkZnJfq+9vPaGcY2UcOWod9YRF1k9MRiyMWohHT0VpexWVi1coT6wmaJMbp1o2bZdGyqn6vfVHSdG21y7dwGPKNb1IUnrLbuui6jm+ighw46CCmoRakIbCdE9K2NaYui6JrCqTBF1S72aCtN0hEzRYViYyYpIjq7tGw2mQlFMtjYQgDNTieptDEyqHRSZ5AUKihCQclEzQJHkDIYBAbbAoQRNpJsWxbCDsK2aUhAOiUZA2A7QcqmnQdr50Ge1uSEAGFbhATKzCi96sxtZFwrimxsKZGwZRvXTAO2bQPGw7hWKoQU4zQNwzCbz46f2JrP4+hwWK1WrTWbTIFNkYSweQABQja2AQwK4WmgBR6b1tTi2kulny0Wbm09IDnNOLVSE1shdZ1a5zaSNbqtyfK4bjVqdLbNzMxSRnPqtuuGuw1qX2qFTi2j9kydp9G5CGdMk4clmbV26mZRuqSMTU2KgsgIkIxbOq1UMRYloiJho3BiQApCAaotAhdcAEiU6XRmZmIjQiEXO51OYackIQQgSDBShEqVaiosJJAA2ZIJg8HIBoENpBQYAGEDCAAhO23AQpmpCGPMFbZtS0GuAAhHHyGE04ARwiROppVtJGGQsRMJ29jZXB77Yo85f+Eil0kSaq1JUUtpbcqWpaugzOxqzZY2EaWUWmrtag2FIqZMwMZYkrlMAlBEiZAkQaAqFYVUKhKlln4WpaKIKE5HRO260tWo8zrbVLdQzEoN1FkzlxK1uiyEi0QonVLvMs86p9+g20iKQ0mgkMjmKBYTOcktmDKbSl/6DccMdVlqRG+FxGU2kIEJwiqpMFJEgEA0aGAkVBrdlF1SLFBHNITTmWkDFupKqUWShE2abGk7TZTSRalWSRe7KLooPTFXzIjehAgURqiqdERBFYMBYwkBliXj5JkMBgRgbLBsjG1IbAAhAGw7WwkJyJQTGydOnNggY4HATmxAGBvpwVvL+hqv8epPfdqt4zgCtkGhWkqNUBQkNaek9XravXhYS7SW0zRFFCnAXVdrlKaYhlGkKJIAW6FASIoIyaSbbdTVLkNRIkqp/TxKNYoSqMg2EyqUTl232N4YPJvWFAdlPjaXGi4F1dovpnFFOurCORFB6VS7pkhFUK2uqbUcw1OJWWaVXYVD6ntRkyAqVKK0qCER2CNZ7EATCDdCFigsOR0kkEQb07bRmGR0pa8RkRkhkTJS6XAqZTxlgoWRo3iacmoNgIBwyjKSophIRAhhJ04UMlIgJYLABgMCbAPhkGxjC9LYKQnJtgiEwDYY4UxQEIBtSEDgbEg2YBAgAQZjC4BMbEuEAsCuHl/lsdfXd33Hd/jN3/rtf/iHx89mMwBbUrZmUftZ1K62No1TlACv12tbEZGtmbRNdYhZ389KN02T7bQjFFFtS4ooYIUQLVNEjUiIUqKUbrERUULCzOYR6oZVhGqok8o0Zutn0UNGy1AJlY5SlatMWyGjiKRQanTzLFsupSBnplclakQttea4NrMS245BEbVWUTOKJVsSCFtpySXtVKJSbGU6k6iObmoZbsJ2SggZ4wj10qyog7XVWiMUInDDRhIex8yWUpYAqyUYSRElohjSgJAUIkqmrQRjQyJBgEUigyGNAYQQDrAzJeEMbBDG2KRSSGAbAIRtpw1IIAnSBmFsgwAJG5NCgG0koQgZZzakUfOb47a3eI1XLd/2rd90+tSpP/nTPz08OGjp0bKi1N5Botr1G1ubUaukruusGKymcNQRTRGUQtSoVV1fuo4oLoW+L/0suo7aqSuU6lJUa9Q+SpdRSjejdu5nUbtSinAahKFZjS76edRZlk3XHZeaNqrR7bgrjplL51JVOpWZyoLST5QWW3Tb7rZbdNHNSjnuEhmRrigUISbySF6FrdJN3bGMeUafKkQ1xZRUTBFWBRkpZAIVmGMpGmqQgGQhB8Tc/Tyjn5x2tEwMlu3mRDYCIRDCCmxMtJZpSlSiNCupjs6ld3RJ5+hTM8cMdVZ1dBldxryVvqnLKEk0FaumuqSmw3RWly6pSCIpVkkVU61qlaSYQlTUWZ1VrIq6pCQlVdPFKqhaxSqmWmFKuiQFVRNWaQ6rSirKk+MzPvZtX+K1X+PVtXfp3NZi8ed//Tc//qu/+4e//ktP+4e/qCVKKWBELTGb9Wk77UzjlrYtRWLbkoQiAlCE08ZIQsYCkDEGgSWUWIpSq7GiavO05zscXcANlLai1q4rtVB6xwxJNg7K3IFdUwLbYIVkT+kWZa5SGwWBjSUlmGxFuK3Ulsoh2pGcpmTdQNWJcSnhJO1SZMDGE05hORGimsSjsEgwbrYNqE91qEpyNtwCJIsUmfbUWqaFQzaJMzMxmYkVURTFYIdVrYKKVKzOVBMiAEdYxSqOYkJCkiTbWFwmZAAbA5JAdgoACRtjEVwhnskAtgEECAyAhME2YEkggyDth9507cs/6ro3etUXe8mXfOnlaq3DS2dbnS8K9Xe++twf/uTe2bs9DWAMYLBtIwEIIQCMBGCDsC3uJzBXiGeyEFcYBGCMo87q8Wvyka+9esX3o84YV4oA28bYKZGtpTk8Wu7vX1qv1gJEKCJUgmFskqTInIxqCWeWEiEynaalJUUUoxJh1DIj5MxsrXZlNuuXyyHtxbw/Wk1u46ziulFq3VzM5otFLVEiDCCeSYAkO8dxWi6Xe/v74zhGBKhljlNr6Zbua9nZmJcSYCMBCGEjcYVBALYtrrAxgI0ExlxmGeOI6PtuNpstFvOQjIWMMUjYklq6javlcr2/HKfWAAFgnklgG0lgnkk8HwIk2wIkMFBKt7G53c02VuuVhA6WRzr/9I3veJu7dMNfveSn3FlvWHsmYbBB2AAChIwAIQwCQGCbECEEERgwgEBYQlJIyDZpmml2MzONJ/ae9mJ//5U31fOH7/wdPnGzxiUKLpM0jtNyPfzVn//ZX/zBb5y9986nPu32o+V6aErHbNY/6IaTZ7a79Xq4sL/eO1wu163UzlHPnNi46fTWRqeC9w7XZy+tt7a3rjmxtTkv+wfL1dCGsdWqa685tbVz4ul3XXr8U+8rpbz6S1//lNt358du2Hroq8S1L7ex0R+/82cf8bAbHvHiL7m5mHe12AaQsCVN03Tx0uETnvS4X/qN337SM+44d353nNo05Xxebzp97OTO5oOvPfkaL/WQxzzouo1ZHVuzIwmjRBAJNqmwA5VmJdgkgjCyZCsdlowSZ2IiTUSJUvq+29xcHD9+rJZiGySBUWgcp6ODvcfdcfDnz1ie3Z+O1pawSWQsqZAgg3ERwkIKQoqQoEgKJARdhEIYJIlQREiS2tQVIiKNDs7fufkNr/MP17zVH73Kl04DuTwY1kc2CBBgLISNBIAFIEBCGBRykQIkukIXrlKzp2RKkNJOk9Zk0mTaXKGpzEvtXunPPvHFzv3iwfv/LN0cJwhobTparn/kB3/gW7/5m/oap45v72zMOrF7sDo4XI4ZY/r0ye0bT233HbLP7S4Pl8PQ2nr0meOb1545Ma8+sz07Wrt2ESrjlFPLCB07vnni9Ml7L6z//kn33ndu//j24uSpU5s3PGbrxpcajj926o/Piue1rf7oq8ZzT3n1N37zV3nt197a2Ki12JYEZGvnLux1efd8uv38+UuHqzxYTnsHy+VyvOma4w+//vRsVme1Ih0NbWqklZYhFU4ZmWjIjkaxlDbIkh0GE7YhmklIlClQWrZbZrMNx7Y2Tx3bOXHieIQAEJCZ+3u7v/vE/V/5+0vD5L6reXDP/r2PG6apdpV02jU0TS0irBTUWrIlEKFMl1q6Wp3NTkUEsjNKERJu2bpS7ayl4IwIoG789pffGzf85Wt+6cbBkWgs6tRtjNM6pynduEwAApBtBAlCwiggiwgBCAfISPSiFhyMKYsipmRKJyIMSpAI77dJf/vqX3HmZ//i9J9+x9EbfkYcnCUCaFn+6i/+7Od+9HuvOba5Htve4XDpYH382NbG5sa1Z46P03Tx0tH+cvzbp957zenjD7nxxA3X9FHqpf3VarVqZu9oqie29tY+tT3fPxoOV+vFYnHt6c3jJ3YuHFJK97Rbn97GfOmXeTGOP7ze/GrTsUccqc5i6pkSNbS5ubV7vv7aL/zSqWuue+mXe5mIsA2UiN3Dda+9G7cukJvXHNsyIULI1jC05XocktXoZkSXQVqJINK0iFQxsmXLKKU0IKNEaWwZbIxspUk7UaYTG5o1tVztHtRatzY3Nrc2Mw2WYhxWT7p7+ZtPOOpKLPrS2nTu9j84teEbbrr+9rvvns3649vbz7jrzkc8+CEX9y5lemOxuP3uu08dP3HyxPF777v3mtNnlqvl/sFe19eDg0Nw7boQbci+VilOnjh+2913HtvePra9fenSpXmZlVqr/uGXnv4KX96bWW0tquRFV5MODMn9DCABWJYlg7AQcgAo5CKAKW0LASTZZQARbikhg4QgbQOoeFrNuouv9kmP/PvPn/Xm5CnZLfNoufq1X/mVcxf3T508cWzWzbputV7vHxwc7Pti31976vi1p4/fWOLSwer8pdWf/M3Trzu9c8s1x2f9fDErfWFvmT2+9tSx/f39YZhuuPb4dTdcs2rlL59w91NvveexDz714i/9MsvNR47XvOzexqMcs56hi+zLDClTfcmmSvTTePjkf/iHV361V9ne2pQECJbrdu3MMy+GFi1bSzLVmtJAifm8J2wbmWjglImGMiMtS5kkSilTpqQx2KSVBnDSsE2zhUjLCiPsNJmRrKdpldHPZtvb25Js2zinp17qS7fYmJW0sg1Stoxx8no1biy2XIoJRTFKe5ymKLXUPpNEhC7tH0zjNIzTrF9YWq2X2zvb6/2Dth5rqWmth6klUtna3jk6XNWg5sW72jWP2dYUfTHYggzJCAKEjA0CJIOqNC+EWDU1WygNyBJYJiRAAmguFAxp1QCQCCRASgMO6mZp5aaXzD+4p6x2c/M0bSilXLy4e9+dt21vzpfr9e4wldqd2F4c3659sBqnC7uXLkS/tdGf2p5vbsyGYfPi7uF953df+rEPP7d7OE3r4zt9rfXO+y6d2ukf++Drjx0/ee7i4c//5l+ePHH8pV7+lecPfrWzOw85sx3jtHXj8YLbmBUhk0l0LLq4Z52STuwszt9z1/7+wbGdHQmgZWYbUsNR65rD7hJSzpDBSYIpDdI0yxSbNKBECU6lI5FTadKRdpq0MzNRs20Z0raxbZO2sY3tKUl7Sl1aDuthBICIsPNgOZ4/9HxWS1HYKotTD36V+57+J2dvvaur88PzB3luryvzv3ziM6KABNRSbzt7wWcv1BJnn3ZHKaUgzNE0ICnK2d2DiBAMzU+/697ZYvvScthbnc20BIdUq2xuHx+wpwxp0enY3EV5fsmUmpK00ggjhISLQJ7SIiQwIXCzQZIckiCCgDTNlFBfWDfbCBDBMymMqdVqM6exAYxKjMNw7733qHQ7i1m2tBjHaTk5Mzfm3aljG6XU9ZR3Xzx05vUnt2+68fRG1c6sHS36iwesl+O8y8c87Mzx4yce//SLT/q9v3zQzdc/+tXesn/Qq626E2fXRzvTwWI43No4+ZDrr0tm5w7b/pox7UQoIhfzvvQ+OJounj8/DoOEbQmhdFtOk1xbkpBSmjR2ZGJIyyYtmzTNskkiU2lM2E6TTieNbHYmaRml07ZN2s0GpUnTsI3B6Uw7admGwzZlSgJsJE3NR+tpXiMEFvjMzS9z6obH4rSxENiOEBiHwuCQIsAUCWVRBEQoQlKWqCEVWYGRzLwvNVREDYVUp2n1xCf85vWPeYvSlUWZTsyZ95K1qLFqYbO7akMW5VCCoRUjYJqwQFkdChtAAqEAJLBEESU4tZnHZu479lY6WGEYU0OjSGCDkxbGzTZXCAAhxbAeI0pEdF3tFxIqUYZpPBrccui7OL45s9mYl5d91LWPv23vL2/dGybNix5647Hrrz2ZLv/wxDtv2+1ueeW3y4e8/rh544FrXd2z0+12yktDGQ7O9juXYl73l9PkiAgFEp2Eaa3VqlKKJJ5JYNCQNUmDEamWkcYmU2mnAabEJq0knDaRidPNbnY606RpxkkCxs50NtsoTZpm26SdBjvttG07PaVDxuaZjI2YV8kOhS2g0braO7GNsC0BIISAUIIiogQRhCQUkiQhBFiARFBEX2JW1dcIDNiu2dof/u6P3Xg+X/2V3jAp+0N36ehwnMa+5ri+0GSXG46Ozh8/9hDhSpOqcba1QQrZjTQKhYzUBCEZduY+Ns9Aiy5LxNQQOSsYCpIjRTYkQrYcCklcYQDb07Qe1supZZQym/XzWV+iSPTdfDbvp2k6Olx6ymtOLI5tLh7/jN17D3L/aLrlmp1HPfjUzsb8Lx9/18Gom1/qNR7+8LdfbT50bI7luUUJbx1bXrp0Zn4+02enxZPu2pstsuv6Yzs7fWFeUTBOUUsEjqDrC5cJbHPZmAFhRzO2M8mkJS1pYIetNBibZjKxM9MJaTeTuKWcsklnZhrSTiuNIU2zbdm2nXbaxi2d6UxaI8LmmSRhC7paEocAbKoLuHTFijYNUthcZqBlBkhM07SeJmQg5CCKQqEI5rOqUkABoQIeJqaWyLVE3/eVyFl/21/9+XfecHpXYXTvpQu3ej0eXNhdThdnJ47NuzOHexdf/KXef/v4w+aLMxcv3Tbrtk6eeiR4HJfCs9pDtjYSISyBc9F5qyeTxBePGDIzMWHTjBMC2wqnDe5KntoeI2wuExhJp04enxWDp6kN09iGHDKHKCrdwdFy1tWtjdlLPfLaLnjcrZfu22vXX7vzSo85fmoznnr3hXXs3PTiL7649uZLx19nNb+5LG/vaN4808Z1Lnc1P95vNNZnT9z44rMYNuez7Z3tWelEKrRaD13togSyW7o1LjNI2LYZXUlsT4lRS7dUZqaxIxvpbHamMt1s2wmZJLbV0jY2mZkGlM5MEjVn2mmlLZO2nWknGNvKdCbZsiWl8Cy2uawrsiUZwDI5JfuXLt719D872r8vImzAmCgx6/tSYhimM6dOPuim60sJwHaEREjO1m590t3nd3f7rjrdWgMpFGDc13LzLY+sYZ1kzK2zdzzlO7qFpxz3D6Yua1+71Wps55eD752pPvWPv6yrJ/pjNy6HO5XtxPUvt5i/ZF089Lqbbrlw8a5xag+++aHDsOyCRRcSfcWZY5LJ6M7qUAZtaplG0Kud2m6F3F3FeozNeWy2GYgHCOm6G2+8uNiYdR1u69UwDOtpGsM5TNP+wSo12yhx993nL406WOmlHnHqumN12fqnjg/efPmXO72RLhvr2Y7V1fXtZXVf9IuYXbt/cH57Y9ZvnNrh6GDzxbbQvM4Xs/7YosdO6+Do4KmP+40bHvrqKh05yso2AQbABgQMLdwyTZqWzlQm2bBxZprRbs2ZTmywaUkztp2k3TKBtBJaS4OtNAmZaafTidNOk+AUYDudmExaS6cwYBAIDJSgFkWEbQDNbzi+qa2zN9TNrnsMYBsUofMXLz7uiU/bX61uuPb0R73H61xz5mRrrZQSEa2lM5uzq/W+s7tf8a0/dM99d8/67tTxY4vFHDXsUKTHvXOPr2mN+2c25t6/beg3Vhtn6jXbkctx93A6GiOPfGp7jhfjxNFqbzq4e5XjovS79/1irz80N9x16pa/fdLf7K7j4z7ha3aO3ew2Hi73wP1sYzabdx2rgcPl+cO987PZfDY/PpttzrpSpY1OMC6zi6Li8eKlvdtu/9tXmkZJBiEw0nzebW/NNze2+lnfxqlGGcbRmVG0Wq6macpptbt/pLp4pZe6ed7X3eOvvPHgV7jl2ocP5/5sGvbsotX5vtv0eKns3DQdXah5oY13bp567M7GVL1TvH1NX0oe7WzNuo7VelhO3bm7/nJ97jcvbXXD4e2KcGuKlBCYKwwMI5nKxOm0nM7MqWUmaTeTmWkntFSmW5JO2zbg1jwaKcCZ2SYsT3ambdtpG0gbM1o2tgHb2NkwbqAIAISEAQSLWkpYkiCpubz3EdveuGZeHv7SrbXWspYytamU0nfdsY3+t/7k7++957Yv/7pv3tzcjlJWq9Xe3t6pkyfm80XfdwdHh7fd9oxutl3r/MUe9aDXfdWXzzYpXEsdhiFK2K6YutiZVBabq6PV+f5iO34m9lZ56fywmvVPeMKlG6+dXunRi5nL0y6M//D485qVxz5oM4eNEmK859K5s7sX7n7y7btf8SUf+Lqv+6pZl3/y249/0I2PuuaG67d2Thw/fsP+3p133PtXw9GqhmosTp955Gyx3VzOnLx++/ipw/2718uD4ei2e88+jvN3vmIOUmBzmaDrZl03I2htWsz7ra2taRi6vi+11q7bOXa89os/+aM/Pn/u3sXWzuYjXmvnse+Yw5LVbnfiYeNwNK0Py3Rp+5qHdKUcXLpvWOws5nVx7Q3NB/N2eO3JY6dVO2XXH7vn/O6q37zz6X9+8d6/qMVb3XrY/VtPe3aWcAlhzHMYR2dL25menJnORrOzZeK0M2nOTGUqM5O07bTtNIkS7JbpbEw2Jm3jdNrmssxszZMBWkuQsW1SQg2ryUYAGHNZ36Em7K7feNI//P5f/eEP/uw0PfwhD9+9dOnk8RNbW5u7ly7dcN31u7u7//DEJ8xnHervO3df8U233PQQ0kfd6r77zmfT6eOnDg+Pjm8e/7Un/+aJE6ePHT/5h3946+/9/m+99Eu85MWLu/fcd++jH/HIvb29xXyjSp7NZ4fLqLmm0VPnMZ/6LemecTmQPOHx+4+96Vg3P3b2wiVnbM1mf/0Pu7dcl2dObZ87v15NuTdMfe194elP/6vbz035N397dOnS047dUe67b3qpR990fLtreYI42phvdm159um/ff5of7scu62ftjc3crlaTus6m3aXU7d/NIkCBmFbSPPFvLWxq12t9dSJE1s7261l1y1mG1v9bLG5WHS1e7XX2vzpn/jR0WVxzS0zn+3bPV70Obs+4sy4PChi++TJS/sH3fFTmxtzZW73/TQlh2ens/8wu/bFu9nWqmnv0tl+tmL1lLb7N/ON+VR6vMw2QApjAwLzTIZhmlpzSztJZ2vZMjNt06ClbWezk5ZpbOx0mrEZQLTEaScJYzZsQ9p2OjNtoZaJbbDttKSgNGfaFtmAABuwQWBEXyTJzq7XuL507tz5KP3Zs+ftxCxmmwdlefsdd0kcLVeX9va2tnbe8W3edmdzNqxH8DXXHL/5hjOZRpSyAD70/d57yPKzv/TLF86diyjr5bpGaeM06/rNjc29/cMqlaPl+sKlw40+7boatRxmg6nRH5w7qFHWh9PeAad2FrNFd91sq8za459476MeVo9tdbsXD+7e2z88HC7tr8adG/aPFpP3Nhaby/U0XJgOj9pTb7vjxMZWx6VlrO+7EFtdmW32d963+5I39+nVXev9zflGP8tx1MXVtNCRtswzSWKacj2Vze1js9l8Z/tYRPSLna5bOMpsvtn1XT+bD8Pq+gc99LEv8TLjtJxd+OHN3Tu36/bFg/NT03zn2v2Drt+8ph9f4sTWi+VsI1cXzp69u566sZ8fG5f3Pu6Jf31j/5Cbbzxz59P/9s7H/cSpM6dzvepm/bXX37x/8d7D1T3pxA2sSGMDIMk2ZpyYmjMzWyZOZ0uPY9pkYtvpdNpObDszncqk2Q4ynU0g7JZpnJnpzMy0AdvgTHNZOgXj5Gka+hpGzbTMWjueRWAEXZECETmtXublXvcVHnt95NHYsu+6dAJdffR6vbb9hq/7GrNZ99t//Hev8aqv8vqv9npwtLt//p577pvPZzKlqzddfyMEbP7Cb/7ivfedf+WXftTB4eE4jW1qL/fSj21t6rqulFIhj1b7Ljnb7I/216uxv/fSOOs391cDKjmliDvu3u/qqVLq6Z3uYHn9m73eK585QRvGk9foxXbWR8twTnfd+dTDYX3Lg7c8rcbm++5bbs0Xp0/1//Ck8xcvHFt0451nD/pjZx76oPm99+qmhz2iq7mn1M626ri7e77FuqwvYQMCYyGJOtuMaETXLXYi6nz7hKK2TEUt0aVCpdrloY987JMf90dlvH1z62Bj+/TRWC5cuPf8pTsW3ebe7rC1/ruLh3dnXLNaX6P5iUt7Jzdn48H+Xh7du/+U25blzfqcL48uXLr7r0u3VdudbXXfdWde7N5LW0N3tnmSIpQ8j3FqU2vGk9NJZk6Tm+2Wmdi2nW4tnWmMDdAyW1rBlGAybTvT6cROO+3MFBiMbWM3O23slpnp9YjTQjaTG5grbAzQFZOSnE6hd377t9nsFsBtdzxptV4DR8vlTTfdePr4zTDC7O5zX7d7aRdWY1uuVqtu1ilku2WupxXWrKv7+/vXXXv6nd7mPWENs6fd9ne33nb7jdfdcO7CuWtOn6wK+o293Iu7zl1YrVYnvHlyfnK9aqt1t14O6+W4Wo933XFwaufCPfeNXT14yRd7rZtueJmNTe0d3L6+73GPeehLXTy6Zpzu2929Yz0ezbqtxzxi8xl37YfLqZPzvdVyZ7O+5Cu8yZOHx2qKGx/+UtP+fde++OH2S79cCS8arbX9cVRbe5zOPfUPc/mpRRgC2a61Hjtx4mjvUtR5qqCI0pfSdaKrs1JVuxmWLVBOObZFvzFsbS3a2HeLRWPBdIw4drQ6mM2Ttrt3sFfXy9X+er59o6fDk/3B3U/9y/37fnf/cBEZB6uW49NPHN8Y177j4h9lnGzDCMIpp0AImfsNLccxW0ubbE63NJmZ2bI5nbYzMcLOtO3MBBLGVVMJcJuaRCIb205jky3ttDPTdqZN2jZkGtzAtnHLhAoCJAEGIJzVFtg2OtjfX5wYxskK+tlsGofNjQX2MF2wPesW+5fudTsJRYoTx4///ROeeO2Z00dHR9dec+0wTBuLOdQ2Hh7unYOj5frgiU95ytbW9kMe/JCDg/1bbr7R6TpOLTScPHniHx6/m2rrS/t0xwrTPefW+3uraDEO+Yy79q+7pt1yTVw86HPS/sFZM3/KbU8cji799fm/rt0Nu4e394vlS7zExnUn+79/wt5Tn3HwUo85eeZUPfe4o4ffcObBJ5fo2DC/ocy5p94039GF3aPWWrackpbN9sRs88zL6M6ebCBjEGCHVTe3j88X2+MwHB4ebWxuLxYb/WyxXh3WakWRwmAzn4c4eXS0vrC3Ts+OhnUpw9HRXtcvO23P59etts+Vvt+91GZ5w976KYcHs4t7vuP86qYbZl30d905zja3t49tiOnEsbZ/cM5tJjFNU+bEZTYSgGFY5zimcbZsraWzubWWTmzbADZ2y+aWTZJt2047PU1jSGBDmqkZkZmZ2VpzNjszncZO4XQa2zhl27jZLVOZYIFtSbaBXkyS0WSv1qvMFtr8q7/74zvvvHt379L11127u7t73bXXPuKhD7n5hpuh5HjQhiVEiTh34dLP/NKvvvxLv9Sttz5j99Lee7zz27/0S7w4kDkJgRazjd/+vT+4596zN9xw3R133LWxsbCpoNvvaBtnfPzE4vBoOlovz1/anybuO7uXLXYqVXFx9+jCpeXpG+p1i5oep2n5tPv2hnr85LXX/eFfPOl497hT17RHXr91w+nN7a2yMe/OnJqdPl2OjtZKLaf+tlsfX04c185iM8s1Zec+bdh9JlNzS4+T2zSusrHaN4nE/aRQ6RxVZb6xfXIa1hGK0g1jdvNQzMYpS6h0M1vGq1F7wzEt83AVg685Gtp6Qm3veLdRNh+hrRef1vfk5k3zuBjdk4q21+fOrce+q93587NL+/PFvNVa7zk7u+mGB505c2FvObZc4bTTTsAYsC0A2pRTtsx0ZmvZ0plpO5vTzjTY4CSz2dlsN7d0EYDNmJNRZoY0TlMauYFby8yWmWS2dLONMzMTSNuAjU3aJW0bgbEt0dK//fg7hqnVdnR0x+MOLt7zui/zUdefvvbM6VO/9hu/s9hcPO3W2x7x0If85M/+wqu84iu87VucXMyOI3G/xWy22ffr5fLN3/iNfv23f+dP/uwvX/YlXhJwemoDkExbm5sXLz3l+PGdtF/r1V7tiU95chVqpdx5YXdW6tFydGh/fxkssnk1THOq0y3zaGi7T2unb7pmGI9+90//5MQ1x7oTj+5W635x4gn36sVPXHjQpqbBd9/D7v6wtZhfPNft7S/HyRcv7B12883Z2bpx1ouHNM/mpZvXSl+nli3dWrY261rZ6JbaFyABAoy7fr65FdH10zQpSu27Urs2jWBFzPpaa1lsbMw3ZjCtPWwcv9iNLz7o+vVwYnZsh9Vdx3j67bc//drtfnd4uI/dVPrttnr8+f377r3v3mPHdnZy2t4epeHEscXUtlB78E267/wz9o9iatvTtOrUnNnSgJCxJNuYqY3TNLZm22m3ZqfT6bTNlOnMxNkwCDtTpCBtG2e2Nk3NrWWEMxmnqbUE20l68uS0na15sp2Zxs6QAYxRy5QbAAIDQmn2DoetGHa6ltsn6myjn2+Brj1z+rVf49Uu7l0UesWXfdnHPPpR9569r+s7qJlNBdDh0eE4Te/zHu967TVn1qv1h7zvex0eHa2G1bzfbi3HYYRqr17qJV78jV7/dWut95099+hHPPwlX/wxVWh7c7G3Wu8fHa2G8aabjp08tnjSE9fDUIe2PrGzc9OJ03efO3/j1oni+lfP0Cu93OKxt9x85+655fmnsX3dHXfceemou/Xp+aibF09+Ug6M913cO7l9erU6mjzO5mVr8+SxYxtbszs1/u3jD26Zc2nJdFgWmYkMsm3nQD9LANs2wiCnSyl9328sNoBhWM9mc5Wq1D333Cfq9s6x5Wp/nM7fc/feHjc+6e6Tf/6U83ffdvfdF9p6vPXUiROnT7Trji1ifaJfTDp5W6tb41CD6dKqO3uec/ed7Wb9rbede9ijb7nmhhsZVrPZo2s5OH/u90+cOnbTgxarWw/H9SgxTpMBDABIxsM0DUOCM217ajk5W0sBmc20NDZOG5xO7NZas40zM9fTlC1th5imKe2WmVNrLUF2a07bzmzOTAuEm8E2anicGm5cJgnALtItJzdbzrtuvhnH5CHV3XnPU8Ypb7nlhlt8/Xw2Ozg6uOHaMw990I23337HiZNHzsgGxLkLFw8Oj7quPvmpT9vfO3zIQx50dHA4n8/mvVprwIVL99x19z1nTp85PDiqpRzf3nniU54y77uaZm8/l572Lg45Tp26rq+nTk/33FuPDle7y7Eutq47dX2W+SMednpzi9uHP3/abeM/3PWga29YPHJ2fnOxQe7WypNuW12zs7F3/qjPRfqoLqIN9cLZdTlejh/Lu+45d3T9a1/0yYfptmPT9IwjO51kOp1M2Zq6zAPbArCQQdJqrEdL7y/3WvN6tT46erqinjhx+uzZe4+fvn49XbjjtlsvXji/Xh85yoNmDzo81MZmeej8aGwcDb799tXf/P1B27twY//b3vjzct1ju/7Yie042u/wQx7ziOtLP9s6c+/ehf2D8+fPnGbzpune3fGG61/l4IhzF8eiuwfjzGwJgMDcbxpzaImtzEyPLac0ODNx2k5bxpnN2VoTzjZlOjMz03Z6smlTTplAa1NrU5ppaq2lbWemndlsjLEl0s7M1rI5I2Iq2AZsA2DwuH9ueXhIW0+rAw0X2uqxh+TRcrUeBomNjY1xGG33XV0P42JjM5NMQ+7vHdx34Vxf66mTp9bjtH+4v3+wv324fWKHUrsS9cSxnQsXL9x22zPGYbj2umvvPXeu68p6vargo2k5DOO4GtZr1qPkun+0bh5qicP1crZc9Tv9LY/Ne+t+GWOMYekLL//YzWuuieWlvX48uHCwu33NNpPvO1u2tuOWm08cHew/4/Z9R7ezvTW53HrnpUu79x6t/6FsvMa982MLH3p9OKjH2bJlZss20lbTEkACDBJp7t0vu7vLi2fvWswXF8/fOw4H43owftRjX3qV5dy5e7d2Nk6c3G5uuxcvvuXrv9TDH/ViXh1NKivPx4y9i+fG1f7f/c3f/f3fP+G22+88/9SnLuZbf3brE7d3Tjz8xV/hH55x5oaHPeQ1X+tV2urc4a0/v3v2jmfc9qTTOy4bD4/h4Oy9F7UsXZlqjQgBtgHbXDZkDlOTadPoZMpMG9vOTAOZmS3bNJlMN2VraduZmdmwM7NlZkuckE47s2VmZpumZrcpMzPTJkHTNElyJqY5bVsIYwBAko3bdHjrnx4N03zz5LQ+KNNy1sXNtzz4t37/D7Y2N6MUoXPnz21vbh7sj49+9KOuOfWQcWoQcNQySWqU1qatjQ0aRXX34qVbrh/tNrVBbPV9f+z48UyrdOnsunmptdpeL8fd/Wk4Sjsu7A7BdN+9R/v7q9r3w2p9X3nY9Se5eOl8qd32sT4n7x9x/Pi9150ZD1p342Nmz7h187Y796b1qc3Nunn80n37HO350to7O3l+d78PYbr5Ncsn/8rBpf7eh7zR8UUdSmm0zLRBZLYGOU2I57JeDxcunDs6vDQsd+VpsbE4dfr0se2tonVl9ehHP1xFfS37R8tllqjbrZVLh5raej3tT+M4jCPT+hVf8w1e+pVf6+6771kd7jV1v/crv5ATWydO9TWno7OXLp0/fnx7mt+4ancyHT3olo02/P2ZY/O9YXHfpX69Xi36Ot+YCxAYSbadHtZrN7XWVuPolooAT61lJvY0teV66GqMwzAMQ9d3bpNlZ7pltqZgGnMYx8zsqoRbS9KIllO2HFvL1qZmp1smkJlAiEzbFgzjREswANiWlNmGcZjt3CjRL+++/syJvQuXdMvitV7tVYq6p99+68HB8sTJky/7ki8eCDaXq3v+7h8e/6qv/EoHy73Mdu3p011fl+tVjbpeD5ubG6vVGtZdV570lCfD4S03POKWG7xue8+47c6u686cOX3TtY+sRuMwBTmsx34xH9vhX/7dpf29cVYjh+X25tZDbjrx+Htvf+Lfn905vnHjzZsbm2W98j335VQWu1N5cJ29wcO7C485eev5ab/kME2DPdvqHnHNzpOfeOHBD7t23Pel3UO7n29u3Xv2afXUuQvlppyOQAhJYMEkphxdzTMZwvbB3oWi1XXXnY6Ibj7f3Doekoqy2VH2Dg93L17oal1NbW+5XE3TlFq1nJpWF58+TnLZ0Xjx4u62Qse2++3Flrtj7/Lu7+rojo6W8/ls0Pzw4j1/+xc/MO3fd+31jzzWl+3u0gH85V9dVNy9gUKKohIBSLJtOyKWy8PH/e3fPPRRL2G3Ehqbj46WtiVna2nbdk7DkKQjtF4u062GnLazNY/jhIyzTWObcLq1VosktTZNU5vaZGN7ag3bOBNIw9ScmTVKm0a6Yh5I4Hry4S3b7NITbrpm6/Q11/3er/3epd1LdWtxuDzaP1jastv58+drLcN6/Plf/qWn3fq0f3jc497hLd/9UY/Q7u4+Ymd7Z3//8OSpk621m6+/Cbae9rRnPOnJT/m8L/uid3n7dzi+c3wYx62N+WJ+HfbdZ59aQ6wGjlZtsdWjslqO80U/HLXHXn/q1HUvMVy43W1/K/Z3Sxztre++PTePd5u1XnN89tTbdo8u9aklm7z+Qx8+nx3+8X1PiZgeunHsms3uCRfOX78zP7Wxs7uMZR2eccfFpz/9wvrYjWcUOU3jMOBEIgSWPTJODFSeySBwXjp3a9041W2cWGxsqnb9fN6cZJtvLcZxXLVkvsVsvjnbOL5xonSd+lmWOi0Ppnpdtv0qYnZsPa1mxSodZXt27MxwcO7oaDg6Gs9f2Ftc/Ms773zSms0Tm2ce8/DNcxd2/vaJvvEhJ0/ffN/T7n5ULp8+1wWnMhtgW2DJ9mw2v/lBD3NmZluP0ziOIZqztTZNU7YcxrGEsLM1Z8MpexhbZtrZWtpu2dwSM0yjbWGstLPlNE22bdvGzmyZaQMWIlN2c0ppNx5AmOg3ls9YHe3v7GyevuaW2m888elP+6O/emLT8s4L96nEejXIXDxYRkRrUwlvbp36iV/4re3tL36nt33bWktLR9Rjx7dbuqvdHXff+X0//EM/+wu/dnzn1I/91M/82m/+xqzv57PZauWj5VGU2N7K6iirVcuM2bw2ODhUP9tebMWJWT+/9uUef/v5m645ycVDTVOtPUecO2oz+/jJWJ+fVrvcdTD82cHu7fvT4bA47M2k1fnDV3mlR92wOP347uw9F4c/+uvbp1W747b72tbDFje90jhN/bisEnLmmA1Q2lbaI1F4NiOdvvlRzSXTBwd7EWVcz+fzRdpDHo3juHPiVJnNaldVymzoU7MaUbpZLCpT1tU55ZhtWi/3r3/kozc3t5eH63vuu/vcPXfm1IbV7oXb/r5fn73mmmv6xYmj1bor9yZnD3nM4sTiln4ei7hwoXoVKlFLBTAGbEMptZtvHB4e2TmOI5CtYWe2zNYm55Qm7WytGTsTsO00IAzGIBTMS9daA0vOKccpBSpys3HtKi6ZFggi1NXS1ZL2er3e3NwKBfczQPO0vOFEt7m9PYx5z3237S+nITZuvf3Cwx/88Jd+zA0//Rt/vtHXB5/pL+3vbfSzv33KPdecOXFqs/vmb/7xH//pn7/+5NY4nL/33NF83q+XhwUedOM1y+n4XG2nXz7kuq277t3dO6jD7PTZC3e1YS2zdUtXtb/au3j2/FR3cywqsbjO+3vT0cU/290/92dfcvzYYrwU++upc9vbW11sKSgM/odzrZ/de98kbxTO1o1L9z3jaOP0vDU9+Fh93OMObr7lkS923Q13PfXvLz7jqfdeWK+z23rMqx7Nbzzcb7HcxSXdIlDIBrdJtXlP5VyIiJBDAjRld/7c2fXRfmvTxuZ2qUXS1olrYzbv5hvndg8UUXvWOa3HfMbd5x/yoIeYaLibbR6tTrX9e647c+K66zcn11ufevutT3pcdF2u9u5+xj+sDi42q9Y5R/3xGFcX77jvVp2YT3Hthcc/4abzu4tTL/Yq6/FJ4+5ZR9emKTMjAgxgp3NaHUROZCsFcDJltiiuAc6WkoqoKhJurc26zm2aWpYabgaP45Q5dbXIjNM0ZRvHaZqyZbbM1qZxHOb9opQakp3ZJplGay3J9XpYR1tvgXOKkI1NiEwuHM6OzZdMq+Xh4Wzj2DWn+jPipmu2q3Tunv1bzpw5Ojy69Z6DG45vHS7Xr/kSD3vEDZubfews9s7uHm4sjz/6ETdduPbef3jivaePn1gPWVbz133Vl1/Hrbc98R9yvOEPn/bkyQdT3nrhwnK77284c3y9N+mu7/7IH7j3+FHKOZWYxWxrGg6H5bKvIjWbqXRqGevlOqTVesz0vI/jG93BWruHTbRaXCIWvabmoyEXszi1UzPz2Na1D7/u2N3nL9xzce/8qubJl8yykYSjgOwUAJLAiRas3n/zd+prvH/WDTmBi5f2f/cvnrw8PHRObZr6+aLr+3Eco9T51tY0NSlKrUYgi8CPediDFbVNU1d07uyF1dGlhz/4+jHLvfdduO+uW6+57qZpGs/e9dRaolnjlPP5Rtf3eCLHiLIzW918w+zshfXtu7Wefni556/b4UVTZrP+pV71DY+fOA4Atvf29u+9545sbZomoXRrLZ2J5LSFnZlJopCk1qZMO51OSdhIgnEcFSHITKSQFAHYbi2ncYiQbYjWWktPrUVIRMsJJ5m17175VV/rxIkTYAzi4u7+H//Bnx3faIuNzaizKP3FS3vjNB7b2dle1PvOXapdkX3HuYP1eui7eOwtJ4y7jZ310T17B2UccnNz8+S2Luyfu+a6By/XR+th4/z5e7e2ddcd5+87d2k1HkVJ07dp6iK2N+dFqf3mreBfYBAvOgOQydiylqjBZQ0SwCDxbOKZ4gixXMtGABExm/U8X04AzBU2BjGME06Q7VJLqAzjJLmUqF3XpgYutec5GAABCdNELYQgR6LjfsMwZDbARiIUtXZIxhgAAWBsGyQEgA0gAAyAJMAASAKwAWMQGBBCEgACBEKI52dYr1umBAiIiL7vAQMYIwlwZkKJMAaJZ2oGIDNKiGdqSQmmKSMEGVFsJJ4/0Org0mRA3M8ABvFMBgFgG0ACg8QVBowEYJDAkgBJNgbbUkECQAACI4Ekg5CopEq1kTBgMhOwMQYkMAYQz8FcFiGbZzLGQmAgMyMCsA2AQRLPIiGEwAAGyQAGSQpJAFhgcNoABmzAYIwNkm0wgBBgDALA5jkIjEE8kwFbkm1JCMBGIGEQkmQsCVQiEJJsrshMACxhg7lCkm0uM2AACQEStjEIkLCRuCJtwDZgW2CMASSBtTw8MACSbPP8mCskAAyAxDMZBABI2Fwm7mcQ4gohZEmAQYjLBEjcT1xhIwBsAwYw5pkk24Ak2wgZBIDN8yGwkDH3k2RbkiTbgLhMgABAElfY5goDGAMCG2OusJDBNs9mLpNkG5CwAQABYBCY5yRhC3GFAEkCIwmBARAgHkACwLa5wjyAwDyAJMA2z0OSbYTAPBcDmIoknkkSABgE5pnEs0gCmwcSz2KL5yYBQghhY5CNhBAgQOJ+QoAQymw1otQCwoBBYACMeQCBQWCezSAEgM1zEwBG4rmIywQCwLxAxlxmEBgLzDMZwPxbCMxzECCuEAAIcZl4NgFgnpsBEBjzTBIGAQZAYJ4PkTmOE5IAMM8iAFElcT+DwCDAFkJgEAAGwEgCBOYygwAwCBAYAPFsAjAChJBB4jKJy4S4QjItczab7Q++7949gwEbBNhIGMBcYQAwiOdmDBIYBOYyITCABGAQAsRlAsT9BICNhAFsI2EjsI3AmGcxV5grDALAvKgEBvEsQgAYCSRAXCZxmcAgMM9kIxkAbATmMiMB2CDEsxkEBkAA2PO+u+nkVpvGlhYIJGxzBVQeQACSwCAZCyEAY4QQwjaAJC4TtiVJsg2AAAMgySAADIAU2CFxP0nGkjAAkPZs1v/t3//D737TJ5Y7/lISYIx5PoQAsPmXCRnAGCRhc4WEzQMJDIAAgUHYIDDPRWAAJGz+BUIGYfMvExgAG0nC5goJGwCBASRsAAkAg7B5viRsAAkbAcLmuQhP/faZN/jgt3m/j5UGG0kGJIEB0Hq15FkkbMAgAMwLIgmMMZdJAmxLshEgbCTZRhIYACEwCAkMCECSjAW2u6572m13/NYnvs57Lp7S7fD8GcT/OAbxAhnE/zgG8QIZBOZPb+Vpb/JF7/whn5zT2NKSjAEhRJXEZQYBkkGAASQwAAKwkXg2IcQDSBKSAIwlAZK4TFwmQABYAIAkgUMC2jTRdb/7Kz/9KsNTuptmw3IK/kUG8fwYxL+WADCXGQuBwLwABvFsBvEvMojnxyD+tQSAucxYCATmBTCIZzOI588gxSs+Yvq5H/z8T7ivfdGnfFypXWYKAQKgSjIAMgBCBkA8k3gWCcSzGQCBeV5CSDyTQVxmEFdIAgBJ2NjmfkcHB5sFmjslCAAENohnspEEBjCAjcQzWcg8m8AACBthEGAQ9xOAAWMsBIANiYRBAAKwETYSCMyzGcRlAhvEM9lIAgMYwEbimSxknk1gAISNMAgwiPsJwIAxFgLAhkTCIAAB2AgbCQTm2QwCAIEN4pnsMQ0cn8fHf/ZnnJrlJ3/yZ0zTFBGAASkkCQQICUASAoFASEIACIUAQAiQJAlAIBAIJCQEEvcTAiQkBUKSQhLPZNuAJEkKAQoZAFsANrYBIZ5FgM2zSWBxhQzimQQGQGAEIC4TVxjAYDCAEIAAgRAgrjAYAUiAMIARYEAANrYBIZ5FgM2zSWBxhQzimQQGQGAEIC4TVxjAYDCAEIAAgRAgrjAYAUiAMIARYEAANrYBIZ5FAmwQx07+xE/+5NHhYVc7ISGQTDVIMshIXBGEMVcYIQIMIInLhLhMiMuEjHkmCRnzTBL3E0JgLhMgAYAk2xjA5lkESLYxCBsJcz8BCMwVMs9mrrARlxkAgUFgnk1gG4kHMFfIvEA2EhY2CECAZBuDsJEw9xOAwFwh82zmChtxmQEQGATm2QS2kXgAc4XMC2QjYWGDAARItjEIGwnzbHYSsbd3aZjGjdh0NkkCoAohZBAIAQYhiyuEAawQYAMIDIDEFTYILDBIItNARNiWBIBtAMkgQJJtJAFgWxKXSTyLuUziCvEsAsAAYCMJAAO2JMAAArCRxPMnASAJDAKDwIBBCAwCG4QAMAgsDAILAGMBIHGFeBYBYC6zkQSAAVsSYAAB2Eji+ZMAkAQGgUFgwCAEBoENQgAYBBYGgQWAsQCQuEI8D2GDhABJILCkQAAIxDMJgSRJxukEh4LL7LQTkAjJ6cy0LQFISJJwuuu6ruucKQEGgyRJkiQJsA0IsAGBQOI5GQOAuZ8xgDCYZ5IkMIAFksxzkgQGwIBt8ywGA2DAGABzhbmfDUJgnpsxz2TMZeZ+xgDCYJ5JksAAFkgyz0kSGAADts2zGAyAAWMAzBXmfjYIgXluxjyTMQCY+xkDiAeSkLhMkqQAhZAQAAKBQEiI5qy167q+1s5gOyK6ru+6HgGks3Zd1/W1drZBIEmZrl33V3/9V3fdfVfturRBIAAJsLEtCRCXCTDCGIkHkCQBYPFswuYK8yw2l8lgAMwzSRIyzySQhADEZTYgnh8JMAjA3M8GMIgrxBWSBIDFswmbK8yz2FwWRgbAPJNAYJ5JIIEAxLOJ50cCDAIw97MBDOIKcYUkAWDxbMLmOdnYBiTAYHAAQkJCAoEAK9Nd7c6ePfvHf/LHtz7jVkyt3TCMv/Xbv/UXf/kXpdQStdbujjvu+OVf+eXbbntGrR0gyJZd150/f+5d3/1dv+3bvxUIBAgJZEsSCMASkiQj7ifMZQLABoMAAcY8kwTGIACDAQGY5+H01GhNGAkwuCUYMGCQABtAAhAIAPFMBoS4wggMxoC5n0F2yokAY55JAmMQgMGAANwa2QCctAQAY2xlAoDBiMsMGDLBNoAEIBCgkIQChQEhrjACgzFg7mfAIECAMc8kgXkWA0gCbHMFVIQxAOZZ7FJiGscP+KD3//O//IvXeo3X/IHv+8G77rzznd/9XS5dunRwcPB6r/t63/rN3/rDP/JDn/gpn3jjDTfdcecdX/B5X/Ce7/6ew7Du+9lf/tVfvNf7vvf5C+e/+mu/ZrVaf9EXfFG2BpZkDFbINpcZY0AgMM9mAASI+1mIZzOIZ5FtSWAABAYAmzpntuUIHZxjbHQVxLEzOjzvbJQKkAmmFCFnEzhCgG2Q0yo4UViBEydRMDjBCElEsU029RvY5IQTDCIKNjkRgQIgm5yW5PTWSaa1hkP3G/RbHJ5DBewIlZ62BpETCoElbEhm27QBW252ChnkZJ0O1HBAHyBzhQAENgghAIwAcT8L8WwGQAAIMAgAgSTZDh5AEoBo2aT4qq/96nGa3v993//es/cB3/eD33dp79Jf/flf/tov/+rP/+LP//4f/P5XfPVXfuSHf+Qf/f4ffdInfNIXfNEXDOM6IoBv/45vv+bMNa//eq//jm//jj/78z/7lKc+OUpBGAOAbUmSQgECARLPh8CYK4x4JnOFeCaBEWCusAFQqTo0r/8J+vxn8NG/zcf+nq57uC9NPPr19fofzzAhcTiyP5JNiIORSwPZcNPh6IOR5cR6skKrkdYYJ3YHVhOSliOHI0NDEvLYvDvoaGSZfruv4uXfmbtGWkPB1NgdWI5E0XJib2B/0NQchTF9zaP4lL/ko37DEzzs1fV2X6ExWY06N/Ho1+c9vkMXR+8PSBomlhP7I+uJ0vNBP6Ptazk70BoEoExvnORdvop3+HJ/4Pfrld+ZMVEA2IC4TAIENgYBYK4w4pnMFRKXGQDxALaBAEmSBLIBnO66/p577v6Gb/qGL/viLz1x4kQogHd+p3f+/d/+vYjytFufbntrczNbigBKif39/cODw1or8Lqv87pPfsqTf/O3fvPEyRM/9eM/dd2114Nba5IiCiAJsL0ehoiICEm2JfFABpAAzDMJAxICJPNAFmADWGDAlic4cRO//y18yGNder/EW6rCS76lDy9YUDpe8z15849l+xrGxmu8q9/hM9k4zmyHV30nXvPd9IpvyyNfldXkl3kzzjyE6x+p9/gSHvWqjM0v++Z6nffh4a/E0Nwap2/mXb6A135fGaL6wa/EO3441z1Gy4lrHqJ3/Xy93JuxnPwKb83bfTpv9CHc8GjapAFe7E25/a8Y19z84tz7ZP/DL/vUDbzyO/GG78LiuDdO+m0+Vm/8YaybH/ryfsW34c0/loe+LNNAN+fl34V3/yyfvIWpISGY1vqtr+boAq/4bn6xN6WBJEACDOKZDAhsQACYZxIGJARINhgQAAYASVwBAdjY3E9c9jmf/7kv89Iv89jHvth9990LtDY96JYH/9Gf/PHrv9Hrv8d7vcdHfvhHvvRLv8yXfvGXfvf3ffdrvd5r/cRP/uTm5mbLBpqm8a3f6q2/7Vu+7dSpU9/6bd/62Z/72bWWS3t7f/e4v7d9eHQgqbUGrNfru+656xm3P+MJT3qCJMA2zyYEBhAGQDZGgME2BhtbPJMBCUCAADAFlpd47JvoQ7+UNvIXP+T3+npO3MxLvTVv8HG8zNvxpp+hax/FqQf7ld+VN/oUbn5Zvcd3e+dav+8PceNL+/iNvPnnMgve6ou5/sX1nt/j4zfx7t/BQ1+Rt/h8v+r7kyOGfs77/ghbp/3qH8SrvaNWezzsNbjppf1u3+7NOe/zgz71EL/tV/Gyb8rhORbH9c7fyINekTWu8OBX5C9+hFv/mIe/BqcexMu8Pdc9hvf5Qa59tJaXeNArsn2dX+/jeJV349Gvz7t+G8dv4n1+UBvH6eZ++Gtw/YvzXt+ngjNdenYPvX0tL/MO/OoXs7xEINuAucJcZrABJAMgDIBsjACDbcxzEs8FQhKXSQJsSwHce++9f/O3f/Nqr/lqP/GTP/nXf/PXH/FRH/mrv/arH/rhH/Z2b/u2T378kz7lkz4FuPueu77lG7/5d37jdz7qIz8KM5/NwbV27/He7/mUJz/5lV7hlT7iwz7iT/70T3739373aHlUa/29P/qDv3/c3z/xyU+69bZbdy9desrTnzpN411333XHnXdkpiSeg7mfkQAsAYjLJMlIIAOABADiAQSAG54Yl8w2OX4TD3s19u/jnsdz4iae8ec8/U+8eVql5zFvwPqQO/7GtWPzNE//I370E/iDb6P2vNTbcO8TIDn1EO5+HBdv5/RDtXcPP/B+PPEvCbjusXQLvuqD+Lo34Ol/5PmOfv9b+Ob312KHh7yyzjyce5/I+afr5IP4299nvu2f+gT+4HtZBLPghpfQq30AL/8uXPtogPGQqDz+V/mezwJz19/xlZ/Iz38Gj3pdovJn38+3fCxHF33NI7Q+5Ec/ki99B04/1MdvIs164FEvy4f+Ij/6YTz+15hvkzyQMICNAPEARgKwBCAukyTzABLPDcI2l9kJSIDt/Mov+4of+v4f/P7v/f5XeZVXOXXq1Bd9wRf+1E//1IUL5++5995P/rRPed8PeN+nPf1pv/qrv/qe7/2eX/QlX/TRH/PRb/LGb7K1tT0MA/A6r/06n/HZn/l7v/97P/rjP3ryxMmXfImXPHvu3PFjxxeL+UMf/NB77r370t7eHXfdsX+wd7Rc3XzjzWfOnImIzOT5scE2gLjMXGFzmYwxYK4wDyQ1OH4TT/wtf91n0UaueSS3/imLE6wP9YRfZ/ta9u4B89ofzjP+nDojQk/8LQ2HbJxke5vDFXf9He/zg3rGn/G0P2JaMdvk3NP0jD/j2I30m8ygwLmnEkXv+Sm8/4/5Ya+B5G7ONmyd5uLt3r2LxTF2b/cTfp2P/3le6m3YvdM3P5aj5MGvxPY1/tPv54+/m0e+NmceRr+pfoP5Nps4Cg95Fd7zg3m9j+e2P2e2pW7OJsy2iY7ta3izz+H9vpTD8zq4TwEF3vzz+OlP4m/+kLsfp1/+fDrAXCYAgZEABCAADNgGEJeZK2yexYDNFba5AspnfdZnApIQkgBAcOLEyZtuvOnE8ROnT51+qZd4yVd4hVfs+/66664b10Pf9xubm6/wci//3u/13obHP/5x7/D27/BJn/BJtVYQ9su//Cu8+Iu9+I//5I8/5tGP+aHv/8Gt7a2777n7UQ9/ZCl1c7F58vgJKZar5S033rK9tbmzvXPp0u6pkydLCTDgdCnlz//kDx9x268f3yluKYkHspGEQAIQQoAQiOcgQIkHzj2NoyfJI7f+MX/701z3aHLS3/0cF2/l+hdjeYnf+Vr9wy/RLzj5IP3tT/nCM7Ta4/a/pDUO72Nc8affx713ct/f8eBX1G1/7qf+HuOK2/+c9QGlslzq1j/yY96AO/6a3/8WgLv/not3khNP+FWe9vs85FV135N40m/KydmncOohOn8r992u09fr9r/g17+Xp/0WJbjz73XuKdz9ePbu5q6/JdA9j+f4Ddz3ZH71S4nQfU/k7FPwwO1/xYWna3mBE7fws5+m83e5FkXh73+eJ/8Rm5XVHvsXqAUMSJgrBIBBAnOZQeKBbCQhkE1U/+G9s1+7u57enn3AB37wbDbjWUDZmgGMQcLmMttAy+z7HhiGoe97npNtSVyWmbYl2QZKKd/4Td/4Sq/0ii/3si9/39n7JM6cvgZwWiEewLakzAQkjNs4df3sm77mS97k9z/5wTf1OUzCSNxPABgAgXkmAWAQNgIEtomi1WRgXnU0uYOAJRgtcMARAD10wVGS0ENFK7wQEQxNS7wBXWU1MULAAi1hjqPgRKGxscaCDbE2BbrgMNkMjckaB8zRGjcwzNC8Yz16Qpu9s3HU1OEGFY14UZia1tgg2BRrCzwvHDZmMEBCwhy6Aha4JaVAijCAeSaDBIABG0kAGIOwkbifADAAU9LN88v/dvsT/mL2qOt2/vRP/mpnZyczAUBSTRsQMsbmWSSg1jqOY9pdreM4ttYkcVkpRdI0TZKAUgpgm8uGYfjQD/lQYBiGa85cA0xtwkiiYZv7ScrMiJBk80DmfhLPYiwAgW1L3M8ACIwAwIBENs87MNnY7HACbAfgTDDbBZDtTLY6ABuntyo5kUlfPS/kRDbmlUVg48ZWIRskEk766lmAycaignGy3ZOT+8oshJ3NmwWEINNtoi+ahXMEsdXbCcLpPsiJrtAXMIicmBcjPLHVkanNsEHCSSbCQAkwyBjAIDCXGYkrJAzCAAKQeBZjAQhsg3gWc4VtSYDtCkgCMCAJ25JsA7YjIsB2RJRSbHM/iVorDyQwQCllHEdJpZTWGiCEAIElSbLNZREB2OYym2cygITAAAgsAAGABAgMAgPGAsAgAIEl3AAksnGFG8+SDTAgyAaAQeQIQsJJS4EBJ04M4GwACECyk2wgCdwMgHIy4JSTK7IJDAJLpK0GwpATIDCQDYSNJ57FCYDIBjgbgAGQQWAQ9xMYgxAYkHkAYcAGSQAGQGABCAAkDGAMIK6QxBUQYNt2gsG2JeyUAIMlwAIJsDAYLGEbDAaDwdhgMDgiFAIDEs8kS4DtBIPBgCQuk8QVRgKwuUJgADAGAwYwAAYBAhAgBOI5CIy5wjyTjcFcIcAGCUA8gAHEFULiCgGYK4SEeSaBucwYDBjAABgECECAEIjnIDAGAMwz2RjMFQJskADEAxhAXCFJXCEAc4WQMM8kMAAYgwEDAEI8P5ICAHOZBDjTgG0A5DTGttM2NiCbTGNsbGxAIBvMFRLYANi2BBjbNs8knslgCcA2V4gHEhgAARgjQAjEMxkAgQEwmGcSAAYQVwiBAIRAAALzTAaBeA4SlxkABIB5JgGI+wkMgACMESAE4pkMgMAAGMwzCQADCAAQAgEIgQAE5pkMAvEcJC4zlwkA80wCEPcTGAABGCNACBBX2FxhGwBsV5BtLrMBgUE2YDAPIDBgc5kBkATY5jJL2AA2D2AA2eZ+Ejb3swCQxDOJy8QDGAtJBvMARgIwNuJ5mAewJQHmMiEwAAYAiX+BAIMAEBhxP/OcjIUkg3kAIwEYG/E8zAPYkgBzmRAYAHOZxL9AgEEACIy4n3lOxkKSwQAYMMY8gCSugAAk8UwGA7bB3E8SANgGJPEAtm1zP/FMBoPBYLBtmwewLYnLbGwA24jnIIwNYDCXCQCMwTbCYABxmXgmAyAeQDKY52EAbO5n2zwHg7ifMQC2BQIDRiBsbACDuUxcZgy2EQYDiMvEMxkA8QCSwTwPA2BzP9vmORjE/YwBsC0QGDACYWMDGMxlAgADAAJAwpjLJAFABdsGgQFJtoWMeQFs80zmfpJsJGzz/EiyzXOyDZKwbcBIYAMiDaA0gQySDBgEBjDGksRlNs8mbB7IAgMgMGAhAJHmmcwVMsaSbC6zJBuwkQTGgAFANoCEwYAlMEgyYBAYwBhLEpfZPJuweSALDIDAgIUARJpnMlfIGEuyucySbMBGEhgD5jLZABIGA5bAIMmAQWAA47S4n40QYFsSANRMA5JtJGVaEs/JNoDASAKDAJtnsQ3YAJIAmysk2bYNgEEIbEAS2AYEBmykAB7ymJd+8m/wkBhKBFgASOYKCSwAg7hMMggMAiTzAEIIMAgZAAMgCTCIZ5EFgDACBJYAgUHI4gqBARAgGYQABIBkrpDAAjCIyySDwCBAMg8ghACDkAEwAJIAg3gWWQAII0BgCRAYhCyuEBgAAZJBCEAASOYKCSyYFZP6q91uXpw8m20AqJJs24C4zDaSjSQbgTEgELINgEGAzQMJELYBhBAABiRsA2CMJJv7WcIIWxIROY1v8IZv/EN/9ym/9ltf9Io3UhS2EVgAAgNCABgEAAJAGAAEIDDPJEAYkEHcT2ABCBAA4grLWAiJZxIAAjAAEoBBgDDPJAAsAIEBIQAM4jIBIMxlAhCYZxIgDMgg7iewAAQIAHGFZSyExDMJAAEYAAnAIECYZxIAFoDAGEkcjPrOpy1+/Z5+s06KIgmQxBVQbXOZZJsrbAOAhG2usBIDkmyDJUnYBiTZRgJsSwjZBgBJgCTABrCxDcJGGGMAbCCtaO3dPu4Lv2Pn5vf59E+YLzZrKTyLsBEgAIx5NgnA5goBwuYKiStsBIABEBgEBgHCRsJGgGRbPJMBEAAGgUHCBhAYAPEAwkaAeCZjAAQIAGMABAibKySusJHAGASAQWAQIGwkbARItsUzGQABYBAYJGwAgQEQDyBsAAnMxSFq5dKl3dd6jdfc3t7OTC6TBGgcB9uAJGyDJBtAEmCb5yEJsM0LJUAIABvEZbINAJJsAxKXiSskZ5ZQlPreH/D+P/BDP2C7TRMSNs9NYJ5NYACEwOaFEQDmP4DAPB8C86IwCBCYf4HA/AcQmOdDYJ5TDbquO336zE/86E+8wsu/wjRNEcEVoGEYbAMCgwQgCbB5FkmAbZ4fSQBgmweQhI2EDZhnk2RbEmBbgADxQHYpkZm/9du/9bd//3fTNAkZgwQGMAYBCIEBAzaSAGQbkLBBAEIG8TzEAwgMYAAksJBBPJMxIGQQGMBCgDEgZMwzSWAAYxAg8UzGGIQQYAAL2UYCBAbxTAZsxGUCAyAwgAGQwEIG8UzGgJBBYAALAcaAkDHPJIEBDNg+ferMG7z+G9x8882ttYiwDUgCtF6veU62M1spxbbNAxkL8a9nWxKXGQvxPCQuEw9kK9T3M676H6O1JokHgiqJZ5OdXd+HxFVXPY9pakCtxebZBKa2aQ2AwGnP+v7Wpz/lh37kR1//dV93atOTn/yUw6MjQAgB2BYCjIWMeU5CxoAQzyIA24CQsRDCtpCxJGwEiOchAMzzYyPuJwzCNiCEAGwLGcCSANuSuJ+QsQCJ+wkBxhgEBvEfwyCeD4N4bgYB2JYEYBDPlxBgjEFgEP8BzObW5s033vjKr/RKi8VitTyIKACYK5AO9s5xv0xvbGz82Z/92Wu9wRu+13u8x3u8+3tub++cOH7CNuI5mGcSz2YQz2QQGMRzMAghY56LeTYBYBAYxDMZAAFgEM9mEM9mEM/BPJN4NgMgAAxgEPcTGGMhBOaZBADYBoR4IIFBPJMxFuJZxDMZBOb5EADmeRkLAQgMYCzEFQJjLITAPJO4wjYgxAMJDOKZjLEQAEi6tH/pnrvvedKTHv9mb/xGN91003K5LBHcz6DD/Qu2JQG2+76/+557fu4XfukD3v+D+r7nqqseYP/g4Pu+73ve7q3f4sSJE+v1upRiW5JtHe5fAGwDtmez2Q/9yI++5mu+7oMf/OBxHEstQrYlAba5nyTbPIAkLrPN/STZ5jJJgG1Akm3uJ8k2IAmwLcm2JMA2AEiyLQmwzWWSbHM/SYBtSYBt7ifJNg8gictscz9JtrlMEmAbkGSb+0myDUgCbEuyLQmwzWWSbEsCbHOZJNvcTxJgWxJgm/tJss0DSOIy29xPkm0ukwTYBiTZ5n6SbAOSANuSbEsCbAOAJNuSANtc1lrruu5pT3/6z/zMT3zkh31IptfrdUTYBgKwzWVd1509d3b/4PDBD35wZtZaQwFIAoCIkCRJEhARkiRJkiSJyyRJkiQJkCRJEpdJkgRIkiRJEiBJkiRAkiRJACBJkiRAkiRAkiRJgCRJkiRJAiRxWURIkiQJiAhJkiRJksRlkiRJkgRIkiQJACRJAiRJkiQJkCRJEiBJkiQukyRJEiBJEiBJkiRAkiRJkiQBkgAgIiRJkgREhCRJkiRJ4jJJkiRJAiRJksRlkiQBkiRJkgRIkiQJkCRJEgBIkiQJkCQJkCRJUq11mqaHPuQhf/N3//CWb/f29509O5vNWmsAELYBSbZrrft7+xEFSKck27xgtgFJPD+SeABJkrifJJ4f24AkHkCSJECSJNuAJECSJO4nyTYvmG1AEs+PJB5AkiTuJ4nnxzYgiQeQJAmQJMk2IAmQJIn7SbLNC2YbkMTzI4kHkCSJ+0ni+bENSOIBJEkCJEmyDUgCJAG2gRd77GN/8ed++b3e7/339va6rrMNBADY5rKWiQTYts1zsg0AkiRxmW0eQJIkSbYBSZIA27a5n21eKNuSAEm2bQO2bXOZbcC2be5nm+dkm8skSQIA2zyAJEmSbAOSJAG2bXM/27xQtiUBkmzbBmzbBgDbgG3b3M82z8k2AEiSxGW2eQBJkiTZBiRJAmzb5n62eaFsSwIk2bYN2LbNZbYB2zzAfGv+h3/0R9/6Hd8x39jITCB4AYQASVwmiQewbZsHkGRbkm3bACDJtm1AEi8y24BtSbxoJHGZJC6TxAPYts0DSLItybZtLpNk2zYgiReZbcC2JF40kgBAEpdJ4gFs2+YBJNmWZNs2AEiybRuQxIvMNmBbEv8arbX5fP4Hf/THy8PDWisQkngA8WySbPOcJIGxQQCYy2wDtiVJsg3Y5n62eR6SuJ8k7ieJB5DEA0jiOUmyDUiyzXOSxANI4jLbgG1JkmwDtrmfbZ6HJJ4fSTyAJB5AEs9Jkm1Akm2ekyQeQBKX2QZsS5JkG7DN/WzzPCTx/EjiASTxAJJ4AdLZdd1Tn/rU/f39EgGEbR7APJtt7mdbEmAnCkVIloQCBEgCWmu2bbfWMpPnIUkSYNs295Nkm8sk2eYy27a5zDaX2eY52ZYE2OZ+tiUBtgFAkiTbXCZJkqTMnNrE82MbkMTzY5vLJNnmMtu2bUuSxGW2bUuybVuSbUmAbe5nW5Jt21wmSZJtwDb3y0zbvACSJPFCSbLNZbZt25Ykicts8wIISVqv17aRgCrJNpeJ5yDJtiTAtm0wCk0Hw71/4elSlL7bvpFjL2bCmYqotQKZWWsFWmtAREjKTNuSJAERAdiWBGSmJNuAbUASl2WmpIiQZNs2l0VEZhqHArDNZbYlAbaBdApJAjITkARIykzbkiIiiMwEIiKdGEmSJAGttYiwLYn7SZLEZbYB25IA25Jscz9JkqbWailAZgIGgSTbgG1AUkQAmSnJtiRJtiOC+0nKTECSpMwEJEkCbNsGIsI295OUmUBEZGZE2OYy24Ak21wmyTaXSbLN/YwBSZIA22Gb+9nGyf1sS7JtGwCjUO7/1nd+xi9+x5etn/E7u4//pZ/+2k//y5//BoEizp07+wM/+APjOEbEr/7ar/7Zn/9ZKaWUIikzI6KUEhG2Je0f7GempNVq9c3f8s1HR0eSIiIiIiIiJGWmpFJKRJy/cP4bvukbgIiIiIhorUVEiSKJ+0mKCEBSRNguUSIinZIiIiIASZkZEaWUiLj99tt/8Zd+MSIiorUWioiQlJnf/p3fftfdd5VSMjMiJNkGJLXW/uEJjxunCbAtKSIkAREBSJJkW9K5c+ee9JQn11Ie94THP/VpT42IiAjJtm1JkiIiIqZpevwTn9BaiwhAEtBak/RXf/PXd99z9x133vmkJz/p7nvujoiIkJSZERERkmzblhQREWFbEiBJku2IiAjbEWFbkiRJERERtrlMkm3uZ5sHEOIyAyApeDajoPY8D0kAKNOX/uaHunbn1mz8+z9/4j13nD9+YvPgab+1+5TfBWaz2Rd+yRf+6Z/9KfAxH/8x6/X64PDgt3/nt1trEfGMZzzjV3/tV3cv7UbE4eHh273D233yp34y8Nd/89cXdy9ubW3dc889T3jiE/7mb/9muVz+4R/94YULF0opu7u7v/XbvzVNU1e7Usrd99z9jGc846/++q/uu+++Usp99933y7/yy2fPnpUESBrH8W/+5m9sX7p06fGPf3xE/NVf/9XjHve4EgX44z/54z/7sz8DMjMi9vb2fuXXfsX2k578pG/4pm/4u7//uzvuuKOUslqtfvt3fnt3dzciJF04f+HxT3h8KeWv/+av9/f3JdkGpjb97u/93rBeAxGxt7f3N3/3t9M0ZeZ9Z++TdN/Zs9M0RQTw9Gfc+qSnPPm+s/f94q/80rXXXrdar//ir/7ynnvviQhgmqb7zt73+Cc+YXd3F/i9P/z9w6PD8xfOS9q9dOlpT3/a53zR5991913bW1t33nX3n//VXywWi1LKer3+q7/564u7uxFx39mzf/t3f2tbkqRhGP7m7/72GbfdJum+s/e11g4ODvb29yT9/T/8wx133iHp3vvuk3Th4oWDw8MLFy8+4YlPvOfeeyXZBmzzIhDYtl0+9VM+CQBTuqrcfepfP/2ei6/wCq+Y2SKC+9kZEbvP+Lu//emvuOH0/OTx7T/8m3Pn94aXf8SmV/vnzl4889jXWywWT3nKU+68686dnZ0//uM/fvu3e/sP/OAP/Mu/+ss//pM/vuWWW97rfd9rb2/v4PDgpV7ypc6dO/cN3/QNOzs7p06d+uqv+erdS7t33HHHE574hC/9si/9q7/+q1/85V/8rd/+rT/4oz94zdd4zfd+v/f+m7/5m1/4pV948Rd78R/4wR9oU/uCL/6Cxz3+cT/yoz/yeq/zem/3jm93cffifWfve8VXeMXWmqRSyvt+wPs+4uGP+LVf/7Xf/O3fPHf23Nd83df84i/94jXXXPPLv/LLX/9NX3/p0qXrrrvuumuvu/fee9/vA9/v7//+73/9N379JV78JX7xl37xaU9/2jd/yze/+Zu9+Yd/1If/yZ/+yU/+1E++xqu/xrd9x7c94hGP+MZv+sa/+/u/+9mf+9m3e9u3k2Q7IrLlPzzh8S/22Mf2fb976dKP//RProfh7/7+76677rpf+tVfeemXfKkf++mfvOH66yVJ2j84+NM///M//8s//6D3+8Cd7e2/+tu/OX/h/B/+8R896JYHbW1u7l669O3f812z2ez3/uD3X/qlXur6a69rLX/pV3/lpV/ypX7q535mNpv97d/93Uu9xEs+6SlPns/nwKW9S5n+pV/71WEcsCP0y7/+q4eHh3/3D3//4o99MeCJT37SnXfd9Wd/+WfXX3v9b//e7z74QQ96wpOeeMcddzzpqU+54447nnH7bZsbG7/1e7/7Ui/+Er/867/qzF/+9V+x87d//3df/DGPnc/nPD+SMrOU8od/9Ie//pu/vrGx0Xfd+733+8znM9sBCCiz2L+v3v33cxoKAMT9JGGAaXXw53/19B/7tdvOnz98mYctHnZ8+Ou/u/sJT7xnPUYpBXjLt3jLf3jcP/zQj/zQm7/Zm//6b/z6wx/28B//kR//3d/93b29vZd7mZebzWcnjp8Abrjhhpd/uZf/iA//iN/+nd++cPHCS7zYSzz91qffe++9r/e6r/fBH/jBEfElX/glFy5c+PGf/PGtra0f/sEfPnfu3B/84R8AwzA86EEP+vZv+fa77r5ruVy+4iu8Yt/1J46fAGqtrTXgDV7/DX78J3/8L/7yL97oDd7oh37kh77ua77uEz7uE773+7/30Y969PXXXb+9vV1KAX75V395Pp//8A/88Bd9/hdN03Tq1Klv+vpvOn369Pf/4PdfuHDhR37wR7a3t3/pl39pHMcH3fKgt3u7t/vMT//MD/3gD+37PiJKKQAQEbN+Bjz+CY+/+aab3/rN37Jl3nb77fP5HJj1/X1nz/7cL/3C7//hH9i+tHfp+PETt91+G9DVurGxsR7WZ8+dBaZpvObMNW/6hm+8ubm5t7d/y823RIQkwPi6a659zVd79Yc/9GEHh4egiBiGISJe/LEvNgzDDddf/1d/89fnzp275poze/v74zgCpZTFYuH0PffdExHz+WJjY+Pipd3z58+/w9u+3Tu//TueOHGitQnoam3ZdrZ33vSN3uRBN99y5913AbYlcZkknocQVwgACLBLVy48bbZ7G9c+Ik/czPOwrQjgmke98vWPfZWj87dfvHD4hKfvHXrxZ0/d/73HHz30ld4qhDNf6zVf67777vvO7/rOt3yLt3zsYx7794/7+6/5uq+55sw1W1tbN91007333vsVX/0VGCBK/OiP/eiDbnnQbDaLEm/4hm84TdPR0dE4jm1q4zSeO3fuxV/sxe+6666v/8avH8bhwQ968NlzZw+PDsdxRCyPlvsH+zfeeGNr7Qu++At2d3f/8q/+0jbwru/8rj/1Mz/15Kc++fVf7/Vvvvnmb/imb/ihH/mhF3vMi5VSHvPox/zwj/7wL/7SLwKPefRj7r7n7q//xq//6q/76sOjw9VqZfvS3qWbb7q5Zfu6b/i6O+6848Ue+2IXL158+q1P//mf//l3eOd3+N7v+97M/OZv/ea77r4LAC5evPCEJz3x3vvuPXny5F133/WM2247PDq86cYb773v3qc89alPffrTbrrxxnd++3d8ndd67cPDw5d88Zf44Pf7gF/4lV+6+557fu8Pf39zczPTbZqAzBzHEVitVraBjY3F+Qvnn/zUpz7jGc8opdxz37333nffNE3DOKzX63GajpZHO9vbp06e/Imf+anrrr3u+PHjx3aOvcSLvVjXdcBv/PZvdrUq5HTfdX/8J3/89497XCmllPI3f/e3f/gnf3S0XB4dHT3xyU966tOfjhnGAVit1q01LrMNSLLNZba5nzH3EwDlUz7t02L/3vmlO7nxxdXPLp299yl33PMKL/8KmRkRgCQus1NRHvzir8zFp9x921N++2/PDYf7Nx2P13nXj33Ma7yVM9Mupdx4w42PftSj3+SN3+ShD3no1ubWk578pE/5pE955CMe+Xd//3fHdo597Ed97DXXXAM86pGPuu22297z3d9zY2Pjtttve+3Xeu2bbrzpIQ95yEMf8tAzZ8485tGP2dzcfPM3e/Obbrrpr/7qrz7ywz/y5V725ebz+cu97Ms9+EEPfsTDHzGfz1/llV/lzrvuHIbhcz7zc55+69O/7hu+7h3e/h0yc3t7e2tz603f5E0f/rCHv/IrvfITn/TEm2686eM+5uPW6/Xf/8Pfv9Hrv9F7vvt7zmazG2+88Zabb/nzv/jzN3rDN3qxx7zYqZOnXuIlXqJEecM3eMNXePlX+IM//IP3eo/3eq3XfK2+70+dPLVzbOezPuOz7rr7rltuueVpT3vaIx7+iO3t7YhYr9e33vaMu++5++Ve+mVns9mf/+VfvOarvcbNN91Uu+5ptz7tJR774jfddHNXKxBRNhaLa85cc/rU6XEcH/3IRz3xSU960C23POqRj1osFkgbi8V1115XSrn+2uv6vp/1s/ls/pSnPfXFHvvYRz3ikUIHBwcPffBDTp86deL4idMnT117zTV333vP3ffc8xqv+uqPffRjpnF88lOf8rCHPPTUyZPAmTNnnvq0p157zTWPfuSjHvHwh//94/7hmtNnXuLFXuyRj3jkn/7Fn0l6mZd86Z3t7Sc8+UmPfPgjHvygB+1s71x7zbWllGuvuXZjYwOQxHOSlJmllD/8oz/8jd/8jY2Nja7r3v+932c2n2WmDi7dN7v77+o1j8ioMZ/d+qQn/dIf/OWHfPCHTtNUSuEySbYBOyPKNLUn/+HP/u1v/fSZmx/6Um/wLqdufqRtQFJmRgRgG5DE87ANSOJfYlsSL4Jf+dVf2T/Yf/u3ffvWmqSIAFprpRSen8wEIoIXyrYknp/MjAien8yMCO5n23ZEAK21UgrPKTMjArAtCbANSOJFY1sSl9m2HRH8K9mWBNjmeUiyPU1T13Vf9hVf9qmf/qmnTp3a3Nz8w9/57ePHjo3jWMvuHWVxzP2CcQUgSVwhyTZgGwAUJTNrLY95zbd5zGu+DZdlNikAICKmNtmupUqapsl2KUVSaw2QVEoB0pktSymtNSAibAOSMjMiMrOU0lrLzIiIiNaaJNullKlNtdTWGqDQG73hGwG2Sym2p2mSVKJkZmYCpRTbmQmUUiQBrTXbkiRlZimltRYRtjMzIiJimiZJxiVKZkZEay0iIsJ2ZtqWFBFpY0uSlJm2gYgAJGUmUErJTCRBZgKKiAjbmVmitNYigssy0zZSichM7ifJNpfZliSpZWJLigggM40xEQFkJqAIQWYCEWHbtiRJtiVlpiReAEk8FxuwjVTr6pJOPchtAgHYvGACJNvYSAB2RAFs2wZKFO5XSuF+tVbbAGBbqNYKlFK4LCKAtCNCUikFkFRKASTVWm0DtmupQCmF+2UmIAkopQDGkmqttoGIkCQpMyVJigjuFxFArdW2pIgAJJVSAEm2I8J2KQWwDZRSANtASIaIsC1JkiTANiBJkm1JkmxLAkLisogwjghAkm1JEWE7nZIkAbYBSVwmSZLtkJC4n6RQ2AYklVJsc1kpxTYgSRIgCQAkSQJsc5kk21xmm/sZA0hcYdeI6m6OUxKX2Vxhm+dkW1LakmxLMjhTEmAbkATYth0RtrnMNmCb+2UmIAmwDdiOCKTWWkRIksRlmcllESEJAGwDtm1HBJCZgCTAtiTbXGbbtu2IANIpJMk2EBFA2gLb3E+S7cwEJEUEkE7Ms0gCAEm2AduSbNuWBNgGJNm2bTsiANuSANuAJMA2YNt2RAgBtgHbgCTuZ1uSbZ6TbS6zDUiyDdjmOdmWBNi2zQPY5jLbPJB5IEkhIAq2bZ6HJEncT1JrLSRJESEpIiJCku2IiAhJQERERGZKkiRJkqSIkGRbUkREhCRJEQFExMWLF59269NLKZIODw+fduvTn/b0p936jFsjIiIiYr1e/8Vf/WVrrbUmSVJERMQzbrvtiU9+UkREhCRJESGJyyRJioiIuO3225705CeHQtI4jpIkXbh44a//9m9CkhQRERERkjJTUkRERGb++V/+xTAMoYiIiAAk2ba9XC7/4q/+UpKkiLAtKSIkSYoISekEbEfErbc9455775WUmUBERIRtSYCkiIiIZ9x221Oe9lRAkqSIiAgukwRIss39bPOcJAG2eX4kAbZt8wCSeCEEgA1Ish32BCDx/Ni2DdiWdNsdt3/WF3zuvffeu3tp9wlPeuLB4cFTn/a0xz3+cbYj4um33vqEJz3RtqQnPOmJz7j9toi47+x9rbWDg4O9vb3d3d0nP+XJFy9ejIjDo6O77r7r7x/398M4rNfr8xfOS9rb37vz7rt+/w//4Gm3Pv3o6Gi5Wv3eH/x+rV0pBfi7f/j7O+66s5SyWCx+63d/55u+/VuBu+6+6y/+6i8zs+tqrfVouXzik5904cKFw8PDv/qbvx7HUZKk5XJ59z13//3j/iEza60SwHK5/LKv+cq//fu/A/727/9uHEfg7Lmzj3vC4y9evPjUpz3t1mc8IyJs/8PjH3fvffeWUmotq9Xqvvvue9wTHr9/sC8J+M3f+e1v/vZvnVqTBNxx553/8PjHRcTh4eFTnvrUe+69Z71e/+Vf/9XupUuhAGwDf/23f/O0W58O2Jb0hCc98Rm33RYRmSnp8PDwL//mrw8PD7uu1lK+/bu/89d+89eBpz7taU9+6lMkAbZ5wSTxIrANSOJ+kvgXGQCBDQCVNG3i+ZFkmwcYh3H/YH81rH/y5376umuv29jYePLTnnL33XfvHxxsbW396Z//2WKxAC5cuHDXPXdfuHjxtV7tNf76b//mTd7ojZ7wpCeNw3D7nXesVqu3evO3BB7/xMf/2m/+xku+2Iv/wxMe/1Iv9pKPe+Lj3/Yt3/rnfvEXXuolXvLW255x7TXX/M7v/e4bvO7rbW9v33b7bVvb249/4hMu7e211l7x5V7+6bfeOo7jweHBwcHBPzzh8ZcuXbrtjtsffMuDWrYnPvlJT3v609/4Dd7wj//0T7a3t//m7/72Pd/13SPiH57wuD/98z87c/rMU5/21Ic/7OH33HvPIx7+iHEa9/b20v7d3/+9S5f2br3tGf2s/4u//MsTJ078+m/+xsMe+tCnPO2p7/mu7/GHf/xHy9Vyb2/vtV79Ne+86y7Q7/7B7z3kwQ/5oz/54/d7r/cBjpZHB0eH+/v7z7j9tmPHjv3hn/xxiTh77lzfd7//R3/4Tm/79t/zg9937TXXTm16xZd7hczksq7rSgmglPKbv/PbF3cvXrh48ZVe/hVe8sVfYhzH7/6B77vphhu7Wlu2S5f2lsvlOE5/+/d/97gnPH4Yhnvvu/fVX+XVWmsRYZvLJNmWZFuSbS6zDUiyLQmwDQCSuMw2l0kCJAGSbHOZJB5AEmAD2AYinZrWipDEFeJ5SQKuvfba13y113jQzbfMZ/O3fvO33Nnemc9mtevuuvvuv3/cP7ztW731O7/9Oz76kY/6nT/4va2trc2NjXvP3oeYz+d919nuaveWb/YWJ44fB4ZheOmXfKk3e+M3bVO78+67NhYLoNY6DMNjHvXoN3r9Nzx54sSTnvKUxXyOOHfu7PkLF97hbd7und/+HU+dPHW0PHrkwx/xii/38ltbWyXKxmLj/IXzR0dH2VLwVm/+FsN6uPW2Z1x/7XX7BweHR0fANE2PfuSj3+Ft3u5ouTw4PLQN7GzvvMxLvfRjHvmoP/3LP+/6ru9n995339bW1tu8xVudOHHiDV/vDV7ixV7icU94/O6l3bd/67d9lVd65b/5+7+NKOv1+kG3POgt3uTNFNo/OAAe8bCHv8LLvtzpU6ey5Z//5Z8fHR2dPn364u7F5XL1uq/52g+65UEPf+jDs+WJ4yeAUoptAOi7HgD+5M/+dHNjc3Nj476zZ4FSyos95rHjNJ48cWK9Hubz2aMe+ahXevlX+Iu/+suu644fP37+wgUAAUjiOUmyLYnnYds2IInLbNsGJAG2bfMAkiTZts1zEiBJAmJanPDBeaviBAzimWwDkrhfSPedve/subNTa5n5R3/6x/fdd9/O1vZqvbr2zDV/+hd//jd/97dPedpTH/HQh9VSH3TLLS/26MfY/uM//dMnPOmJy9VqGIfl8ojLau2e+tSnPuO2ZxweHT7kQQ9+ylOf+sQnP+muu+8upTzhSU+88667zp47d+b06f2Dg9V6PZvNIuJv//7v/vjP/uTsubPDMNi+5957n/jkJ/3dP/zdNWfOHB4djdM4jMM4Tfv7+ydPnDh14uTm5uZLv+RLbSwWQGttHIdhGKZpGsdhGAYuOzg4uP3OOx50082zvn/Igx78iIc+7ODwcLlartar1Wq1v7+/sbEREY97wuMf94THX3ftdUdHh9M0DcMArNdr20BIt91++8Xd3aPV0c033bK1uXnq5KmXeOyLpXO5WgHb29vHjx/7xV/5pXvuvefpz7i11gqs18PTbn36nXfdeXB48JAHPajrugc/6EGPeNjDgWmatre3T5448bO/+AvDsF6vh2kan3rr06+79rqu1uuvve5Rj3gkICTJNpfZBmzbBgBJkrjMNg9gG7DNA0gCANu2bQO2eR7GPBCUT/nsz48LzyiLbZdeJS5duPDk2+5+hZd/hcyMCJ5T3/fA4eHRQx/04BMnTtxw3fV33X1XqeWxj37My7/syz3u8Y+779zZl3ixF3/Mox795Kc8eblcPeqRj3zwgx70D49/3LVnrnn0ox59bGfnmmuumfUz4J5777nn3nsODg9f8WVf/uEPe9gwDnfedddLvcRL3njDjRuLxROe/KSXfemXfuQjHllKufaaa6695ppHP+JRf/JnfxqlPOZRj+m67jGPevS58+evvebajY3FfWfPvuSLv8SN199w4viJE8ePHzt+/Lprr5vNZo97/ONuuvGm66+7DgjF8ePHT544WWu99tprTxw/cfLECeDYsWN333PPa776azz5KU9ZLpePedSjNzY2rrvm2r7rr7v2uq7rbrjuukc89OF/9Kd/fN01177aK7+K4bprrzt+/PjpU6drqTdcd30p5cSJExd3L/Z9f901177sS7/M7u7u7Xfc/shHPPL4seMnjh87tnPsaU972t333vOGr/sGreXe3qVrr7kWqKXecdedt91++9bm1qu+8qs87omPX61Wj3nUo2ezWSnl6U9/+j333vs6r/naZ06f2drafNhDHvr0Zzz9tV79Ne+6555z58895pGP3tjYsM3zkCSJF40kQBIASOKFysxSyh/+0R/+xm/+xsbGRt917/c+7zObzWzr4PBS7N87v3ArN76E5vNbn/j4X/7Dv/rgD/rQcRprqZJs8wCS+Pdp2UqUv/n7vxuH4eVf9uWAzIwI/uNkZkRwmW3bEcFzsm07IniR2ZbEZZkZEYBtQBKX2ZbEA9iWxANkpiRJPD+2JfEvsc1zkmSb5yHJNi8CSYBtSba5TJJtQNI4jl3XfdlXfNmnfvqnnjp1anNj449+93eOHTs2jmOljbl93WoaZnf+vR70EpQeBAgBtgFJtgFJmQnYjgggnRggImzbjgggM4GIAFqmQBKXlSjAS77Yi2dma01SRLTWuEwRzkQSSLINSAIyE4gI25IyU5JtQBISNiApIjLTtqSIkJSZgCTbkmxLigjbmamQ00BEZGZEZGZE2JZk2zYQEZnJZRHRWosILmutRYRtSa01ICIA25JaJrYkLpMkKTNtG0KSlJlARHBZZtqWJMm2pMyUZFuSJJ6HbR5Akm1JtrlMkm1JtgFAkm2eh23uZ5vLbHM/Yx4IKkhtaCduWZV+494nceGcMZdJsg3YBiQBkgBJkmyHAgFIkmRbku2IkGRbUokAJNkGMlOSpFKKbcB2REiyDSBJ4jJJgCTbEcFlkgSSgFIKYBtQBGDbtiRJkgDbkgBJACCJyyRFhCSHAUkRISkigIiwLSkibAMRYRuwHRGSbAMRYZvLIgKQZFsSEBIS95MESJIkCbAdEVwmCZAkCZDEZZKAiDDYlsRlkmxLsg1Iss39bEuyDdjmX2Kb50cSz8nGYAAkBWCF2pDb17QbX2atSjYusy2JyyQBtm3bBjKT+0mybdt2ZgK2bQO2bQO2bduOCEmZ2VrjMtu2bUsCIkKSbdsAYNs2IMnYdkJERIRt27YB25kJ2LYtyXZm2gaAdNoGJAG2bdvmfrZt2waAzOQBbGcml9kGMlOSpMyMiIiwLUmSbcA2YNs2l9nOTNuA7cy0Lcm2bUm2W6ZtQJJtSYiIiAhJIUWEJEmSMtO2bcC2bcB2ZnKZbe4nKTO5n20us23bNiBJEi+UkIS4H4QkbBBtRNFOPZSo3M82l9m2LSkiIkJSREjKTEl/9Td/vXvpkqSIiAhJESHJtqSIACRFRET85V//1aW9SxFRSpFkOyIiAshMSU99+tPOX7gQEREhybakiJBkOxQREdKFixee+rSnSpIUEbYlRYSkiIgI20BERAQgKRQRIWkcR0kCSRFhW5IkSREhybakiJAE2JYUEREBSIoISRHx5Kc+5WlPf1op5R8e/7hf/rVfjYjzFy78zd/9rSRJESEpIiICkBQRESHJdkREhKTMjIiIyExJJSIigMyU9MQnP+nv/+EfMvNnf+HnH/eExz/laU99xu237e7uZiYQEREhSVJESLIdEREhiftJkpSZESFJEiAJkBQREcFltnketnkA2wASV0DwbAKY1jwnSVwmaWrTXXff/bgnPP7g8ODv/uHvz184X0q5cPHCU5/+tI2NjWmabr/j9ic86YkHhwd//bd/s7+/HxFnz539u3/4e0nr9fpptz79zrvuLKV0Xb9/sP+Xf/1Xh4eHEXHHnXc87vGPk2Qb+LO//PN777sX+Ju/+9sLFy9GxDiOf/N3f3vvffdKuvOuu/7yr/8SuPe++/70L/4ceNJTnvzkpz4lIs5fuPDEJz3p3vvuvePOO5/45CdJkvTEJz3xGbffJunChQtPesqT77jzjtbal33NV/7t3/890jiO99x7r6SDw4OLu7vDOP713/7N4eFhRBwcHPzV3/z17qVLkiRdunTpGbc94/FPfIKkw6PDJz/1KXffczfwd3//d/P54vDw8Fu/69s3NzaAv/uHv18PA3Df2fue8KQnDsNw1913/8PjHyfp4PDgjjvvfNwTHj9NU0Tcedddf/cPfz9NU0Q87elPf/JTnhIRLfPv/uHv77jzTkm2gT/5sz/d2d7+nh/4vic+5Uknj5/ou/6v/uavn/zUp3zNN3793/793+3t7z3pyU/aPzg4ODz4q7/562EYIuK2O27/+8c9rrUmCZB0cHh47vz5iLhw8cKFixfPXzgv6b777rO9Wq//6m/++vDwUJIxYBuQxAPY5n4SNtiAbdvVNg+k4DnZ5n77+/vf+0Pf/5Iv9hK/9Ku/8qhHPOJP//zP3vat3vrnf/kXz5w+85M/81Ov+HKv8DO/8LOPfMQjf+XXf+3mm256/BOf8Lqv9To/+4s/f/LEidvvuP2mG2/62V/4ufd4l3d/8lOecuzYsZ/7pV946IMeslgsZrPZH/zRH3Zd97Rn3Prmb/ymQN/1EfFTP/sz4D/7yz9/27d869/4rd/s+v4fHv+4N36DN3rCk554cffiM267/cUf+2LHdnae8KQn/uVf/9UwDJcuXXryU57S9d19Z++77trr7rr7rsV8cfsdt9997z27l3Zf8eVe4c/+8s+vOX3Nrbc9441e/w3W6/XR0SHQdd3P/eLPv8e7vNsf/vEfLxbzu+++u+v6v/ybv36nt3v77/vhH7zx+hvGaXzFl3sF4Jd//VfPnz9/6tSpc+fPRcTv/9Efvts7vvNP/sxPb2xu/sqv/+pLv+RLz/rZmTNnfvv3fvfS3qVbb7t1MZ//4Z/88fXXXrtarR73xCdgnz13tqvd45/4hK7r7rn3nkc87BG/8hu/evzY8fWwns/mf/cPf79er/cP9m+/846Dg/2bbrjpmjNn+r5frlZTm2668cb9g4Nrzpy5eGn37nvu2d7aapmX9i611n7qZ3+mlPKar/Yav/sHv7e1tfXEJz/ppV7iJX/tt37jsY989LGd7ZtvujkzSynL5fJnfuFn3/+93vcXf+VXXvLFX+LvH/f37/qO7/xLv/6rb/i6r/+7f/B7mxubf/YXf/5e7/Yes9ksMyUBtiXZ5vmQxBWSgAAkcT8BmPtJkgTYBqap3XzjTW/6Rm988uSJN3+TNzt58uSf/vmf333PPcePHTs4PNy9tPuYRz3mzd7oTY4d23nbt3zrvu//5M/+5BVe9uXe7q3eZvfSpbvvuec1Xu3VH3TLLfsHB4v5/LGPesx6WN9w/fV//Kd/slwuz5w+c/HiRQzQ9/09996zXB29zVu+9Ys/9sV+/bd+0/DWb/6W7/qO7zyfzbqubiw2zp0/t1qvSil/9hd/3vf9iRMnzp0/D7z1m7/lg25+0Cu+3Mu/6iu9ym233/YXf/1XGxsbmxub99x77+bG5lu86Zu9+GNf7Ojo6OVf5uVe4sVfgsse+fBH/P4f/cFytZzN5op4m7d8qxPHjz/lqU99uZd+2WEcTp44aZvL3uj13+Cd3u4dbr/jjr39/Td5wze+4fob/vjP/uTYzrFhHLa3t17jVV/twQ968J/9xZ91Xdd3/d333H382M5bvtlbPOFJTzzY3z9z+vTF3d3VevXyL/ty7/R273Dh4sW//Ou/fN3XfO23f+u3ffmXebnf/YPfn8/mJ06cuPfsfY999GNKqVtbW6UUYByGiFJKfYWXfblXevlXXMwXwzBk5skTJ176JV/qJV/8JWqt7/i2b3/x0u4zbr/t+uuuv7B78djOzs033mS8tbkFlFJa5pnTp48fO/4Hf/xHm5sbt9x80ziNwMZicdvttz391luvu/ba1trupV0AiechSRLPyQDYlhSAbe5nAHGZJNuAJElAZq5Wq9VqNY7jarXaP9i/9pprTp04ubW59TIv+VJ91x8eHS5Xq2EYl8vl4eHhdddd/8QnP+mJT3qi0MbGxsHBATCMw+HR0TVnznS1+6mf+5mHPuQhm1ubp06efIkXe3EEcHh4uLm5OU3taU9/2lOe+tRHP/JRR8ujJz3lyX/8p3/yD49/3N/+/d9fc801h0eH0zSt1usbb7ihlnL9tdc96hGPXK6Wq/VquVouV6uDg4NSyi033dx33UMe9OBHPOxhR0dH0zQtl0eZeXR09PRbn85lr/ByL/9bv/s7fde/xIu9+NlzZ++4885z586dPHFisZifOnnyZ37+51prQGb+1d/+zV/81V8u5vOu1r29vYi4+aabZ33/6Ec++syp03ffc09r7Zabbp51/UMe/OBHPOzhh4dHwzDceMONW1tbJ0+cfPHHvlhmrtar5Wq5XK6uvfa6v/uHv3/8E5/whCc+4cEPelCUuOG66x/2kIe21h758Ef84q/+8oWLF4H5fO5MYG9/79LepWmahmFYrdettaOjo6fd+vT1MOwfHJw6ceLk8RObGxsv+5IvbfPQBz/k1tue8ad/+efTNF3cvVgigJd9qZf+wR/9oRd/7IttbW6dO3f+KU996lOf/rRTJ08eP3ZsNps95lGPPn7sOCCezTaX2bbNZZIAQCCQBJRP+9RPzszMzMxa64ULF55x2x2v8PKvkJmSAEm2AUmC+WJ+/bXXdbW7/rrrhV7ixV58sVj8/eP+4eYbb77++us3NzfPnD7ddd0N118v6WVf+mX29vef+OQnvcHrvv7JEye2trZOnTxZS7nphhuf/NSnHB4evOarv8ZjH/2Y3Yu7t91x+yMf8YhjOzuApAc/6EE333zz7//RHz7y4Y942Zd+mZMnTvzxn/3p5ubWK77cyx8tl+fPn3+JF3vxG2+4cXNz8xVe7uVvve22CxcvPPpRj97e2rrmzDWzvj9z+szmxsbx48df6iVe8olPftJyuXzMox69sbFx3bXXlSjXnDlz/fXX33HnnQ950IMzs+/7jY3FIx/+yJMnTmxvb//Rn/7xK7zcyz/8YQ9/0pOfdO/Z+17nNV/r9KnTwJOf+pT9/f1xGl//dV9vMV8cP3b82LFjN1x//d8/7h82NzYe8fBH1Fqvv+76hz/0YU9+2lNWy+WjH/WYzc2NUydPPfQhD7l48eLtd97xqEc84tix4yeOnzi2cywiXv5lX+7Ou+58+jNufdQjHvnSL/FSt91++7kL51/8sS9+tDz627//u1d+hVd8xMMe3rJ1tXv6rU83PPiWB+9s7+zs7Gxubpw5dfqaM9dcd821d95550Me9JAzZ06fPnV6Np/9w+Mfd/NNN1977TV//pd/cXzn+Bu//hv+2E/9xLGdY6dOnrJ9bOdYRHmZl3ypvu/n8/lTn/60xzzq0S/+2Bc/derU3/7d3545c+ZBt9ximxcsM0spf/CHf/Abv/nrGxsbfde933u/92w2y0ztXzq3tbVJzAHwP/z9X/3uH/zJh3zQh0zTVErhOUniX8O2JB4gMyOCB7AtCQAyE4gIHiAzI4L/BLYB2xEBtNZKKVxmWxKXTa3VUn7tN3/9sY9+zI033Mj9MjMi+LeyLYkXzDYg6cLFCxd3dx/2kIfygmVmRPA8/vTP/+wlX/wl5vO5bUkAkJkRwWW2JQGAbUm2eQGmaeq67su+4ss+5dM/5fSp0xsbG3/0O799/NixcZrqfD7/jd/67R/98Z8oJd77Pd7z9KmTzuR+kmwDkmzbti0pMyPCtiTbaYckybakzIyIdIYiM9NZotgGJLXWIiIzAUmSWmtAREgCWmZIQGZKkpSZtpFCykwuiwjbkjITiAjbkmxLsi0JyExAku2IsI0AnI4ISUBrTVIpJTNtS5KUmbYllQjbr/far2u7tRYRtoGIyMy0BRGRzlAAmQlEhG1JQGYCEWEbkGRbUmsNiAggM4GIsG0biAgg7ZMnTp48cbJlE5JkmwcwhBQRrTVAkqTMBCLiFV/+FQDbgO3MjAhJrTUui4jMtC0pInjRCAGSJCEhxW//7u++1/u9//7+/r33nX2bd3jH3/v9P9jc3OR+trnMNiApIoBSChARkiSViIiQJAmICKBEASSVKJIiQhIQEUApJSIkAREREZK4LCRJQEREBCCplBISEBERERGAJEkRERGAJEASIInLIqKUIqmUAkREKIQiQpJtICIk2Y6IiIgIICIiQhKXRUQpJSIASZJsR0SJiAigROGyUkpEABEBABEREYAkSZIkAaWUiOCyiIgIQFIppZQCSBLYTmcoJEmKCEmSJEkKCbAdEaUUSUBERIQk27a5X0RIAiIiIkopgKSIkGSbF0ASz8s2YGPHH/zhH9Zav/+7vvMnfvQnX/d1XvsP/uiPZrMZYCyJ52TbNvezbVsSYNu2be5nDEjieUjKTNuSJHGZbe5nW5Jt25IA21wmCZAkCbANSJLE85AkyTYPYFsSl0niedgGAEncz7ZtAJAEALYlcZltLrMtybZtAJAESOIy27xQmWlbEvcLhSRJmckDSJIkSZJtQJIkALDN/SRxmW1JAGCbyyRJAmxzmSRAkiTANs/JtgHbAMTbv+3bnjl9+rEv87If+mEf9EHv/34f9REffnF3F8DY5nnYBjITsA1kJmAbiAhJtm07nZn33HMPYNs2YBtorUVERNjmOdk2tp2ZESEpM21LykzbmQnYtm0bsJ2ZrTXbtgHbtoH1er23vyfJtm1JtoGWCUzTlJm2Adu2bQPpBDLTtm3ANmAbsG3bNpfZtm2wDdi2nZkRIcm27cy0bdu2bdu2Adu2bXOZbcB2REiyDUiS1Fq7uHvxaHkUEZlpm8taa5m5e+nSNE0R0Vrb3d3NTNsG2wAgyTZgG8hM7mcbmKbJtm0gnYBtwLZt7ieJy4wlCQBJQJw5ffp7v+M7PuJDP+T2O+589/d535/52Z/b3NgAJHGZJB4gIiRFhKSIACJCUkRI+uu//Zt777s3IiIiIkopv/uHv/eUpz1Vkm1JESGplPLUpz3tCU96oqTMlCRJkqSICEVERMTjHv/4Z9z2jIiIiMwspUREREgCDBEhKSL+7h/+/s/+8s8jIiIkRURESDp34fwTn/QkICIkcb8SIel3fv/3nvq0p0aEpIiICC4rUSRFhKSIkBQRQERIighJESFJkqSICCkiJEVERETEX//t39x7330RERERERGSIiIiIiIiJEmKiIiQJCkiJEXEX//t39x39j5Jtls24Od+6Re+/4d/8Ed/4sf/9M//LCIiQpKkv/uHv/+TP//TZ9z2jHvP3vdXf/PXwzD83T/8PRARIUWEJEm2JUmKCEkRAQCSIkLSL/zKLx0tjyJCUonCZZIAQBIA2OYyIQCBhA2Ui3u7P/5TP/U1X/X17/ou7/pHf/QHv/v7v/dqr/bqL/kSL9VaiwgewHZE/Olf/Nmv/PqvXdq7dMP1N/zyr/3qX/z1X+5sb69Wqx/7qZ+Yxumnfu5ndnd3H/mIR/7ir/zS3//D3z/8YQ9vLZ/29Kc96hGPzEzgt3/vd//oT/749KnTP/MLP/fbv/s7r/far1NK+ZM/+9NpGre2t3779353Pp//7C/83JOe8uRHPeKR3/ht3/ykpz7lumuv+8mf/anNjY2Do8Nf+tVfubh78UG3PMh2RPzpn//ZL/3ar66HdUT82V/+xZOf+pTMvO7aa3/xV375D/74D48dO7aYL46WR3fdfdcwjE9+ypPX6/XJEyck/e4f/N6f/sWf/cPjH/eSL/GS6/XwC7/8i3fddddDHvwQSZL+9M//7Fd/49cv7l58yIMf8tu/9zu/8Tu/Netnfdf/8q//6l/+9V8dHh7eeMONv/xrv/qXf/1Xx48d7/r+F375F//hcf9wy003//lf/sVf/NVf/vlf/eVDH/yQb/nOb9/d233kIx75i7/yS3//D3//0Ic89G//4e9++/d+9ylPe+rd99z9m7/z2w99yEOPlstf/NVffsrTnvqwhzz0D//4j/7yb/76z//yLx764Id863d9x/kLF176JV8KSGdE/Plf/sVbvOmbv/qrvNpP/uxPv8RjX/wXf+WX/uTP/+yWm266cPHi7qVLp06cvOvuu7/2G7/+UY98ZKn19KlTv/grv/yXf/NXd951Z63dk5/6lBtvuPE3f+e3b7rxxr/4q7/8nd//vYi45sw1QGvt53/pF//ir//y9jtuf+VXeKW//Ou/+u3f/70Scc2Za2zzPDKzlPKHf/SHv/6bv76xsdF13fu/z/vMZzPb5Yu/8PO+4Zu/+bd++zd++Vd+6ff+4A/e7Z3f+cSJUy/1ki9lu5QiiftFxN333PN7f/j77/g2bz+M4/bW1npYHxwePvVpT1ssFnfefddbvOmb3XX33a/ySq/8h3/0R5m5HoYnP/UpL/8yL/dXf/s3L/2SLxURf/Snf/w3f/+3D3nQg3/79373ZV7qpW684cZHPuIRwLnz55781Kdi33nXnbfedtvLv8zLpv20pz/twQ968GMe/eh77r0nIl7pFV7xm7/9W1/2ZV72t3/3d8+cPn3NmTN33X3X7/3RH7zj276dze7ubjpf7VVe9Y/+5I/Hady9tPsGr/t6v/5bvznvZ0+/9emv+eqv8S3f8a3rcXitV39NSXfeddcf/ckfv/Pbv+Pf/N3fPvhBD/65X/qFhz74IX/9d38ruOXmm++8687f/8M/ePu3eduIuPueu5/y1Ke+3Vu/7a/95q8LPf0Zz3iLN3mz3/rd3z5z+sxv/M5vvcxLvvQtt9z8C7/8S8Bqvb7t9tvuue/el3rJlzo6Wh4tj3Z2dl7mpV76D//4jzJzuVrddfddu7u7N99089HRUVe7a89cc/sdd/zlX//Vzs7ObXfcfnBwcNvtd7zUS7zk0dHR0XJ5/NjxRz3ikdddex3gdET87d//3VOe+tSn3/r066+//s677pz1s5d96Zf57d/9nePHjwNPe/rTH3TzzVvb2y/1Ei/5l3/9l5f29tbD+rVf/TV/7bd+48zpM7fdcftjH/2Y3/vDP0jn7//RH774Yx/7c7/0C6/wsi/f9/0f/ckfHy2PXuc1X+sfHv+4jcXG7/7B77/Ei73Yz/3iL7zSy79i3/dcJgmQBGRmKeUP/+gPf/M3f3NjY6Pvu/d7n/eZz+ettXj913u9n/2JH3/kwx+xWCy+45u/6V3f+Z339/e5n21JgG1gf39/a2trZ2fnxR7zYs+4/banPO2pJ44fb60ZP+jmW4CIOLa9c3B4UGt52EMe+thHPWa1Xnddx2X7+/vYZ06ffpVXfCXQ9tYW0Fp7yRd/if2D/d/9w99/5Vd8paPl0cMf9vAH3/Kgw6OjWsrO9s5isfGQBz1Y0mq9ns36V36FVzx+7Diwf3CwtbV1bOfYIx72cEVcc+aam2+8aWNj4/z5C9dfd92pk6ciYmxTKbXWOozjrJ9JAg4OD7a3t/u+P37s+HK5XK2WtdaXe5mXve6664CDg8Pt7e1jO8ce9YhHHhwenDh+Ymtzcz6bHx4e3nTDjadOnuz72bFjx97xbd/+SU958j88/nHL5bLW+rCHPuxRj3xUKeXBD3rw9dddl84SZWd75/DwsKvdwx/6sEc/8lGSbrrhxmvOnLn2mmuuvfbacRwPj476rnvxxzz2wbc8uKv1wbc86Prrb0g7Io7t7ACZKQnIzK7rHvuYx77h677+xd3dm2+66UE339JaW6/Xma61llpnfb+9vVVrPTg8uO6aa0+fPn3i+IlSorUGZLbDgwPbx3eOveorvnJEAPsHB9dde+3pU6cXi8XupUvgYzvHXuWVXrmUwmWSbPMC2ACApDg6OnrFV3iFr/6qr/vWb/62N3yjNx+GQeIK25JsA5JsP+LhDw/Fd3//9/70z/9MRBwdHZ2/cGE2m9VSAeDGG278vT/6g1d6hVc8Wi6fcfszjh079ozbbzt96hSXvcLLvfy111z75Kc+BXjEwx72d4/7+4ODg4iIiJMnTg7DcP111z/6EY/8zu/97l/+9V99hZd9uTNnzvz5X/7Fcrmcpqnruld75Ve59RnPuLS/d+L4ceCRD39EKL7r+7/np3/+Z2utgmmaWmsv/7Iv97jHP+G7v/97b77pptOnTs3ns9/+vd95szd6k42Njcc/4QnAwx/6sGmafvjHf/T2O24/c/rMa7zaq99z7z3nzp87cfw48MhHPELS9/zA9/3IT/zYS77YS1y4eOG7vu97jh87/qBbHjSMA7CYzy/uXvzTP/+zaZqGYXzt13ytw8PD2++4fXNjo+/7YRhsS3HjDTf8wR/9wSu9wiseLY9uu/22zY2Nrutaa0BmttY2Nhav8xqvde78+XvvvXdnZydKjONoO6Trrr32r/72b/78L//ib//+70opwPFjx1/vtV/nkQ9/BPAar/pqf/xnf/J9P/wDL/2SL3XNmWsW8/l8Pr/mzJkS8Xd///dbm1uv/Aqv+PgnPuFHfuLH7r3vvkc98pH7B/s/8TM/ZfMKL/fyj3z4I57+jFsX88VisQBe5ZVe+XFPeMKP//RPrlbrV3qFV3zkwx/59GfcujFf9H2fmYBtSYBtHsCYK2zAtg72ztvOTNuLxeKpT33qb//+H33IB33INE2lFJ6TJNu333nHdddc2/f92XNnM/P0qdPGNl2twPnz50+dOnX+wvnVan3jDTf83C/+/Cu9witdc+ZMZkbE0fLo7LlzN15/Q6314u7uxmIxm81s287MWitw9tzZWT/b2dkBLly8uLGx6GpXSgFuu+P24zvHdnZ2bEuyfcedd1x33XW11NZaKWUYhtlstlytLl68eMP112dma22apsVikZnDMMznc6C1du99950+darWGhF33nXnYr44efJkZkaE7dvvvOO6a67t+34cx/vOnr3xhhtsT9PUdd0wDH3fX7hwYbVe33D99cD5C+fX6+GG668fhqHWmplArfX8hfOnTp66cOHCar264fobxnEspWSmJES27LrunnvvlXTtNdcMw1BrzUyg1npx92Lf97XU2Ww2TdPd99wjUUqxmc36CxcvHh0d3XTjjcvlEpTOvuvX69Vytdra3JzN5nt7l6bW/vTP/+wNX+8N1sN6b2/vxPHjXdet1uu77r77+uuum89mrWXfd5f29vb398+cPt113Xo93HX3Xddee+311143m81sSwJsA5LGcey67su+4ss+5dM/5fSp05sbG3/4O7997NixaZp0sHeey2wvFosnPulJv/P7f/QhH/Qh0zSVUgBJtgFJtiVxWWZGBA9gG5CUmREBZGZrres625IyMyK4LDMjArANSAJsA5KAzJQkictsA5KAzIyIzJQkieeUmREB2JbEZZkZEYBtQBL3y8yIADIzImwDkoDMjAjANiDJtqTMjAjAtu2IAGxLsi2J+9mWBGRmRNiWxP0yMyKAdIbCtiTAtiTut7e39zt/8HvZ0lgonbXWErEehogQSGqZJUIR2ZphmqaXfPGX2NrcvO/s2ac89SmLjY1pHDMzonR9NwyDbSE7S6mllGkaMx0R/axfLpcv/zIvd/NNN2WmJB5gmqau677sK77sUz/9U0+dOrWxsfFHv/Pbx48fn6apAoAkQJJ4DpJsc5ltSba5TJJtg3gmSbZtS8pMSZK6rrPNZRFhm8sk2eZ+trmfbUASYBuQJMl2ZkqSZDsibNvmOUWEbQCwzWURYRuQZNs2l0mSlJmSJHG/zJQUEba5n21JtiXZ5jJJtgHANmAbkGQbyExJkmwDtiXZBiRlpqRQ2AZsc5lt7rezs/MWb/Jm/Jtcf931L/USL8m/nu2IsC3JtiSehwDJtu0qybZt27YBMPezzQsgZCyQBNi2zWWSJHGZbUASz0OSbSAzI0ISl9kGJHG/zIwIICIA24BtQBJgWxJg2zYPIMm2bS6zDUgCbNsGIsI2YJvLJHGZJNu8AJJsS7INSLLN/STZlgRIss39JNmWJMm2bR5Akm0uk2Q7M3mhbEvifrYjAgnbNpfZRhLPzViIB5AUEVxmm+dhmweCCkiyzWXGIJ6TJNuAbdsKOY2wLSkzJdmWlM4S5eDwYHf30s729mKxKKVImqYpIgBJtiXZtg1IKqUAu7u7W9tbJQqXZSawf7C/tblVSrEtaW9/f5rGkydO2uYy21xmmweQZBuwDUiyzf1s8yKwzXOyLck2ANgGbEsCbAOSANs8J0m2AdsAYJsHkGQbsA1Ism0biAiekyTb/IskSZJs85wkAbYBSYBt7mdbkiTbgG0eQBIPBAHY5n5C2IAxz09ECEWEpIiQFBFAREgqUWx/7w9+/2133PaEJz/x4OAgIiT9zu//3lOf9rSIkBQRkiIiIiIiM//4z/5kuVz+/eP/obUmKTMl/e3f/92f/Pmf3nrbM+69796/+Ku/nNoEPO7xjztaLgHb3E8S/xLbPA9JgCTbPD+SeB62AUk8gG3bkgDbtrlMEvezzf0k8S+xzfOQBEiyzfMjiedhG5DEA9i2LQmwbZvLJHE/29xPEs9DIACqba6QAAMSIMT9bAO2I+JP//zP/v7x//DgWx70uq/1Or/9e7/71Kc/7ZVf4RVuvP7G3/693zk8Onr0ox7V1e63fvd3Xu+1Xufi7u5sPvvDP/6jO+++66lPf9rDH/rQW297xh/+8R/dfNNNr/KKr/zrv/2bu7u7x3aOvfhjX+wrvvarP/YjPnoxXyyPlr/52799cffia7/Ga2bm/v7BieMnnv6MZ3ztN339F3zW59Zan/K0p47TdNMNN0riMkm2JQG2uZ9t7ifJtiTANvezDdgGJAG2uUySbdvcT5JtQBJgm+ckiQeQBNjmMtvcT5JtSYBt7meb+0myLQmwzf1sA7YBSYBtLpNk2zb3k2QbkATY5jlJ4gEkAba5zDb3k2Sb52FjkBSSgFKKuMLYXCZJkiTAdkTcfc89f/N3f/t2b/k2N95w49/9w9/feded7/R2b/+nf/Hnj3/iE8+eP/8mb/hGf/rnf3b9dde/4eu+/oMe9OAnP/WpT3zSk574lCe/5Zu9+dbm1sXd3Z/46Z96yIMf/Pt/9Id/9w9//+SnPOUNX+/177jrjuVq+VZv9hYPf+hD//5x/zCMw3XXXruYz3/jt3+r1NL33d/9/d+fOH78Ld7kzU4cP/FDP/ojj3j4I37393/vCU96oiTb3M82l0mSJIn7SbIN2OYFs20bkCQJACRxP9uSJHE/SZIASZJ4Tra5TBLPj20ukyRJEveTZBuwzQtm2zYgSRKXSeJ+tiVJ4n6SJAGSJPGcbAOAJP41bIdtSYeHh1wmBRIPYJv77e/vbW1tHTt27FGPeOT+wcGJ4ye2Nrdms/nB4cFNN9xw8sTJjY0N8Hy+mM9ms1m/f3CwubEx62fHjx07OjoahqHv+1d+hVfa3to+cfz4yRMnz5w+s1wu+77f2tpaLBa3PuMZT3naU48dO5Ytx2F0utZaSpnP57PZbLladrW+0iu8wvFjxwBAkm0us839bAOAJNuAJMC2JElcJgmQJAkAJNm2bVsSIEmSJEmAbcA2YNs2YNu2bdvcT5JtSbYlcT9JtgHANvezzWWSbAOSANuSJHGZJECSJC6TZNu2bUmAJEmSJAG2AduAbduAbdu2bXM/SbYl2ZbE/STZ5gGMASSEJEnRdd2FCxfe6/3e/4lPelLp5uM4YgPGPIAk2498xCMX8/kP/diP/NTP/cwrvOzLHRwe/MCP/NC1Z8486hGPRAI2NzZn/WxzYwOopb7ki79EKeUnf+an7rn33oc+9KGv9eqvcdfdd6/Xq2uvuWY2mwGzvj9z+szO9s6f/8VfHD92bDFfTNN0cHi4vb29sbGxubk5n8+vOXMmM++48443eYM3uvPuu9br4fSp04Ak7ieJ58c2l9mWJMm2bS6zDdi2DQC2uZ9t27ZtA7Zt8y+RxGW2JdkGbEviOUni+bHNZbYlSbJtm8tsA7Ztc5lt7mfbtm3bgG3b/EskAYBtSbYB25J4AYQA2wBgW/b4Yz/2Y0+/9elbW1sf+iEf+V3f9a333Hf+Uz7pU6ZpKqXwAJKOjo4u7u7edfdd115zzebm1tHR4X1nz950442Znqap67phHGqpU5u6rhuHcTabTdN039n7Tp081fVdSM+47bbjx48f29lZr4e+78dprLW2adrbP9je2lzMF3ffe09mnj592mmEM7uuX61Xw3p94sSJpz/j1p3tnZtvvGlzc9M2DyAJsM39JAG2eX4kcZltHkCSbUm2eU6SbEsCbPP8SAJs85wk2eY5SQJscz9JgG2eH0kAYJsHkGRbkm2ekyTbkgDbPD+SANs8J0m2eYBpmrqu+7Kv+LJP/fRPPXXq1MbGxh/97u8cP3ZsmqZ6dLD/l3/9V+//Pu/z7d/5XUcHF2231gBjHsC2pGfcftvf/cPfH9vZufuee1q2EtF1/e133gGEwk4pbEukHRGZKanvutvvuMNOm9msv/e++1q2iMjMiHCmpIiSmensaoe49bZnAAIg7YgIaZymxXxxx513juP4Ei/24rYlcT/bPCfbPIAk24Ak27Z5fmzzQtkGJNnmASTZts3zkGRbkm0ewDbPyTYPIMk2IMm2bZ4f27xQtgFJtnkASbZt8zwk2ZZkm+dhDEjCALbrU5/2tN/+nd91+vf/8A//6m/+Znt7K+++DxCSBNgGIiIzH/OoRz/mUY/mf4DMjAjbkmxzmSQAsA1Iss1lkrifbe4nyTYPIMm2bUCSbR5Akm3ANs/JNiDJNiCJy2xzmW0uk2SbyyRxmW1Akm0uk8T9bHM/SbZ5AEm2bQOSbPMAkmwDtnlOtgFJtgFJAGCby2xzmSTbPBcbAQD1B3/kRz7kAz/wXd/5nX7jt37rF3/plx/6kAdjA7Z5ANsRkZm2ucxYCLAtyTaSeD4M4tkMgHg2g3iBDOI5SJLEZba5n21J3M+2JMC2bS6TZJv72eZ5SLLNv0SSbS6TZJsHsA1IksT9JNm2zf1sS+J+tiUBtm1zmSTb3M82z0OSbf4lkmxzmSTbPIBtQJIk7ifJtm0eQIj72ZZUX/olX+q1X+s1I+JVX/mVbQ/r9f7hCpBkmwewLSkibPPvI8k295ME2OZ5SLINSAJscz/bgCTANiDJNg9gG5Bkm8ts80LZ5n62uZ8k29xPEg9gm8tsS7INSAJscz/bgCTANiDJNg9gG5Bkm8ts80LZ5n62uZ8k29xPEg9gm8tsS7INSAJscz/bgCQewBhAAJJsxzu90zvubG8fHR1FxBu/8Vs89rGPnc/ngG2ehyTb/Esk8ZwkSQIkSbINSOJ+tnl+bAOSANtcJgmQJMm2bS6zzfOQZJt/iSSekyRJgCRJtgFJ3M82z49tQBJgm8skAZIk2bbNZbZ5HpJs8y+RxHOSJAmQJMk2IIn72eb5sQ1IAmxzmSRAkiTbtrmfEIDBBoC6f+lSREiyPaz21+t1ZgKSAEmAbUCSbe4nyTYPIMk2YJv7SbJtm8tscz/bXGab+0myzf0kAbZ5TpJs8/xIAmwDkmxzP0m2eQBJtgHb3E+SbdtcZpv72eYy29xPkm3uJwmwzXOSZJvnRxJgG5Bkm/tJss0DSLIN2OZ+kmzb5jLb3M82l9nmfpJscz9JgG2ekyTbPA9jrpAASVFK4TJJpRRJ4gpzmW0usy2J+9nmMttcZhuwbZv7ZSYPYJsHsM1zss39bNu2zQPYtm3bNvezzQPYBgDbPIBtALDNZbYB27a5X2bygtnmOdnmfrZt2+YBbNu2bZv72eYBbHOZbR7ANpfZ5jLbgG3b3C8zeQDbPIBtnpNt7mfbtm2eh21eCAEAtqttQFJmAgIkACTJNg9gWxLPSRIPIIkHkMQDSOIBJPGCSeJ5SOIySdxPEg8giRdKEg8giQeQBNiWBNjmMkmAJF4wSTwPSQAgiftJ4gEk8UJJ4gEk8QCSeABJPIAkXjBJPA/btgFJtiXxAEIABrAtqQKAbZ6HbZ6TJNtHR0fTNHE/25J4oWxL4jLbkgDb3E8S/xq2uZ8kLrPNc5LEc7ItybYkXrCu6xaLBWCbyyTZPjo6GseRyyTxr2Gb+0niMts8J0k8J9uSbEvihbItictsSwJscz9J/EtqrRsbG5JsA7YB2zwPcz+oPCfzHCTZ5n629/b2aq0bGxu8YLYl8a9kG5DE/WxL4t/NNiCJF8y2JO43DMP+/v7Ozg73s72/v19K2dzc5H62AUncz7Yk/t1sA5J4wWxL4l/JNiCJ+9mWxP2GYdjf39/e3uZfIsCWZLtKss2zmftJss39JB0eHtZaNzc3+b+u67rDw8Ojo6ONjQ3bkg4PD0spm5ub/F/Xdd3h4eHR0dHm5qZtnh9jm2eRVG1zv9ZaKLifbZ7TNE0bGxuAbUmAbe4nCbDNCyXJNv96kmzzAkiyzXOSZJv7SQJscz9JgG0ewHZE9H1/dHTE/cZx3NzcBGzzIpNkmxdAkm2ekyTb3E8SYJv7SQJs80JJss2/nqS+74+OjgDbkngeQhIAEgCEJEm2I6Kfb4/TmJlcJgmQJIkXgW3bgCRAkiRAkiRJkgDbgCRJkgBJkrhMEiBJEiCJyyTZ5jJJ3E8Sl9kGJAGSJAG2eaFs2wYkAZIkSeIBbAOSuEwSIEkSl0kCJEkCJHGZJNtcJon7SQIA24AkQJIkwDYvlG3bgCRAkiRAkiRJkgDbgCRJkgBJkrhMEiBJEiCJyyTxAJK4TBIPYAyYZ7Idtltrfd9P0/St3/qNb/MO73R4eAjYti3Jtm0AsA0AkgDbgCSek23Atm3Atm3btgFJkgDbtgHbtgFJtgHbtgHbPCdJtrmfbR7AtiTbtnlOkgDbgCSek23Atm3uZ5vnYRuwbRuQZBuwbRuwzXOSZJvLbGembe5nW5Jt2zwnSYBtQBLPyTZg2zZg27Zt24AkSYBt24Bt24Ak24Bt24BtLrPN82ObBxACxDNJqra7rjs4OPjgD/+In/vFX1wdLCOC5yTJNiAJAGxzP9vcT5JtQJJtnh/bPCdJtiXZ5gWwzWW2eR6SbPMAkmxzmSTbgG0AsM39JNkGJNnmfrYl8QJIsi3JNi+AbQCwzf0igvvZ5gEk2eYySbYB21xm27YkSYBtQJJtSYBtHsA2z0mSbUm2edHYlsQLJrBtu0ZEZn7Ah3zoz/3iL15/3XV3TXfZ5n62Adu2JfEvsc1ltrmfJNuAJNtcJgmwDdgGbAOSANvcT5JtXjBJPIBtwDb3sw3Y5vmxzWW2eQBJvGC2AduAJMA295Nkm+ckKTP39/fX67WkEydOAOmspWZmyyapRLGdmZIiorVmG4gIICJs7+/vt9aOHz8+TRNQa12tV6Houm6apogopdjmMkmAbcA2YBuQBNjmfpJscz/bgCTuJ4n7GXOZDSApNra2vuwrv+rnfuEXzpw+PU2T0zwPSTwPSVwmicskAZIkAYAkSYAkSTyAbUCSJB7Atm2ekyQAkCSJyyRxP9s8J0mAJEncTxIASOIySYAkSVwmSRIPIIkHkCSJB7Btm+ckicskSbINnD9//nVe/3Xe5d3f5f0+8P3uuuuuUkpXO0kR0dWulgpERK21lGK7lFJrrbVGxNHR0Td80zdI+smf/snv+K7vAGqttVbgK77yK77zu79TUtd1pRQewDYgSRIPYNs2z0kS95PEZZJ4HkJcIQCg/vmf/dm3f9d3HTt2bJqmWivPj21JPCfbXGaby2wDtrlMkm0eQJIk24AkLrMtyTYPIMk297MNSLLNZZJsc5ltLpNkm8tsc5lt7mcbAGxzmW3ANgBIsg1I4gWwDUiyzQNIss39bAOSbHO/9Xq9tbX1fd/9fVtbWxsbG7/6a7966zNufYs3e4vFxuJnfuZntre33/Zt3vaOO+74iZ/6iZd7uZd79Vd99d/8rd+8cOHCpb1L7/rO7/pt3/FtX/+NX/+oRz7qUY961C033wL8wA/9wHq1ft/3ed/VajVN03K5/J7v+56HPPghb/gGbyjJNiCJy2xLss0DSLLN/WzzPGxzmW3uZ8z9BED90R//iQsXLhw7dqy1xgOJKyTZti3JNi8y21w2TROXlVIkSQJsc5kk25IA2wBgmweQZNs2IMm2bS7LTISQ7VIKAEiyDdjmMkm2+ZfY5gFsA7YlAbYBQJJtSYBtLrPNA0iybRuQZBvouu7CxQsf/GEf/OhHPfr93uf9PvtzP/vFX+zFX+s1Xuvnf/Hnv+O7vuOt3/Ktz50/92Ef+WE7Ozs/8IM/8HVf83Vf/41f/5AHP+TsubPnz59/yIMfcuzYsTNnzvzKr/6K7bvuvuvbv+PbSym7l3Y3Nzc3Nja+8Zu/8ed+4efe+i3e+nVf53W7rgMk2eYySbYlAbYBwDYPIMk2D2BbEpdJ4jkZMAbb8Ud/8id932cmz8VcYVuSJF4EkiRJ4n6Suq7ruq7ruogAbNvmfrYB27a5zDYPYJsHsA3YBjKzlFKiREQppWUDANs8p8zkBZAkSRLPQxIPIAmQZBsAbAOSAEASANjmAWwDwDiNJ46f+Iov+4pP+oRP2jm283Zv+3aSfuO3fuOlXvKl3vD13/BJT37Sn/7pn952+20v+zIv++qv9urTNG1tbX3sR3/su7/bu997771v+AZveP1117/US75UKaWU8g//8A9nzpx5/dd7/WuuuWa5XK5Wq1d9lVd91Vd+1b/86798xm3PAGxzP0m2ucw2IInLJHGZbR7ANiCJyyTZ5n5CgCSEJKDefffdtVbbPA9JtgHbACCJ+0kCbHM/SbYBSQAgaZqm7/ru73rq05560003ve97v+/GxgaX2ZbEA9jOzFKKpNZaKYX7ZWZEcFlmAhEBlFL+8I/+sKvdhYsXFHrD139DAMhMICJsA5IkAbYl2eZ+kmwDkgBJtnkBJAG2ucw2l9nmedjmecz62XK5/IRP+oSdnZ0PfP8PPH/+/P7BfigO9g/OnT+3t7d34403vvd7vvfv/8Hv33TTTS/1ki9Va12v18N6mM/n29vb+/v7P/hDP7i9vX10ePQe7/4en/rpn/p3f/93b/nmb3nvvffO5/Pz589fuHBhGIau6wDAtiTANpfZ5jLbPA/b3E8Sz0kSz8UGbCPV9TBI4jIhXgDbkngA25IASYBt21xmm/ut1+uv+tqv+uAP/ODf+M3fuHDhwmd++meeO3/u2M6xruumNjkNdF137vy506dOl1Jaa3t7eydOnLANrNfrrutKKa012+M4LhYL4NKlS+k8cfzEb/zmb7Rsr/Nar3NwcACcO39ue2t7NpsBZ8+ePXPmDDBNU2ZK6rrONiAJsG2by2zzL7HNc5Jkm/vZlmSbyyQBtgFJwOnTp3/jV39jtVrZvvbaa1/ixV/iwoULD37wg4GHP+LhW5tbJ0+efKmXfKm3eLO3OHHyxNbW1td/zdfP5/Obb7759V739SLiV37xV9br9ebm5jRNi8XiW7/5W4+Ojh50y4Me+tCHRkTf9y/22Be75pprNjc3MzMibNuWJMk2l0myzf1sS7LNv8Q29zMGkLjCrieOH7/r7rtLKYAxD2Cb+0niedgGbPNCXXvNtW//dm9/7ty5ixcv/sqv/sq3fee37WzvfNHnf9H3/cD3/dKv/NJHf+RH//7v//4999zz7u/27i/5Ei/5kR/zkRcvXnzLt3jL932f933nd33n66697vDo8Cu/7Cu/7Cu/7MKFC+fOnfuMT/uMM6fPfPGXfvE4jZ/2KZ92+vTp9Xp9/vz5rut+8qd+8gd/+Adf8RVe8eM+5uO++Eu/+K//+q8f8YhHfPqnfvoHfPAHSPqsz/isRzz8EbYl2eb5sS3JNi+UJNuAbZ6TbUmAbds8gG1JOzs7Ozs7gO2dnZ2dnR3btm+5+RagZRN66EMfCmTmxsYGEBFd19leLBaLxQLouq61dub0GSAz5/M5YPshD3kIkJmSbHOZbUCSbcA2z8m2JMA2L4BtHsg8kKR49KMfNQxDRNjmeUiSxP1s85wkAZJ4AEncr5QyTdOHfviHXrx48UM/5EO/8Iu/8GEPfdjd99z967/x62fPnn3rt3zrt3izt7jn3nsWG4ut7a1v/OZvfIkXf4lf/aVf/eEf+eGnPvWp99577xd/4RefPnX6l375l86ePfuu7/yub/1Wb/3jP/Hj4zhee+21995776/++q9ubmxGxK233nr7HbdP0wRsb2//1V//1Q/+8A++1Eu91B//yR//5V/95YULFz72oz/2EQ9/RGZKkgRI4gEkAZJscz/b3M8297PN8yMJsG2bB5AEALYzM522gczMTECSbduhiAjbmRkRtm3btg3YzkzbtiPCdmZGhG3bQGa21iTxAJIA2zw/kgDbtnnRCQAbkGQ73uD1Xs+2JEk8D9u2uZ8knpNtwDYPYJv7TdN0cHDwLd/4LV/3NV/3iIc/4tprrz04OHixx77YK77iK+7t7d1yyy3Aox75KNvf8q3f8uAHP/hv/+5vv/f7vvfYsWOLxaLv+5MnT87n84sXLwIPfchDd3Z2gJ/86Z/867/+667r/uzP/uyuu+9arVbjNC6Xy+PHjz/qkY/6wR/6wXPnzt1w/Q2HR4ev/mqv/pCHPOTw8PChD3koIAmwDdjmAWzzPCTxr2EbkMT9JHE/SbZba04DmZmZtoHWGpCZtler1TRNkqZpykwgM1trmZmZmQnYnqaptSaptdaytdZs2y6lZCYgiReBbUAS/yoGQGADQH2Ht33b7/uBH/zLv/qrnZ0dLrPNZZJs8yKTBNjmAfq+/6iP/KitrS3bkr7yy77ye77ve06cOPGQBz3kLd/iLR/0oAcBj3rko0otb/h6b/gyL/Mymfm3f/+3X/GlX/HgBz34/d73/YA3fIM3PHbs2CMe8YidYzsv9tgXO3H8xKMf9ehxHB/7mMeu1qvTp06fPHlymqZa6/Fjx//yr/7yIz7sI974jd74xIkTP/tzP/uyL/Oy1193/fu/3/vXrvL8SAJsA4BtnockQBL3k2RbEmCbyyRxmW0ukwRIAiRlZkREBGC7lML9aq2ZWUoBPu0zPu11Xvt13vzN3rzWCtgupfAAtiMiIgDbpRQe4Ku/9qs/+iM/GrDNZbYBSbYlAbYBQBKX2eYySTyAbUmAJB5AEmAD2Abkafn7f/iHb/fO7zKO4/b29p133vlFX/BFn/BxnzCOY9d1trmfpEuXLi0Wi77vbQOSANs8gCTbkgDbkrjMNiCJ52RbEgDYlsQD2JbEv5JtSTynzIwIALDNA0iyLQmwDUgahmG5XB47dsy2pEuXLm1sbHRdZ1uSbe4nybYk2wAgyTaXSQIyMyLuuOOOX/7VX77xxhvf5I3e5HGPf9yv/OqvvP7rvf5jHv2YX/rlX3qLN3+LP/jDP7j5ppu/8qu/8nVf93Xf5I3e5Fu+7Vse9rCHvckbvclv/tZv3nnXnceOHeu7/uLFi+/yzu9y7vy5H/vxH3vIQx7yxm/4xr/127917vy5vUt77/5u7/6TP/2Tn/TJn/R5n/N57/We7wXY5n6SbHM/SbYl2eYySbYBSeM4Hh0dHTt2zLYkwDYwTVPXdV/2FV/2qZ/+qadOndrc2PjD3/2d48eOjeNY9/b3X/3VX/1bvuHrP/QjP+rS3l4pRRKX2QYk2eZ+krifbZ6TJNtcZhuwPU1TrZXLMjMzgVrr1KZQRERrLZ2hiIhpmmxHRES01koprTVJmVlKsW1bUssmxGWSuExSZgKllNaabUkR0VorpUiyzfOQZBsAbHM/SVxmWxIPYJsHsA3Y5gEk2QZsA5kZEd/4zd/4x3/6x2/7Vm97z0vf8+Ef+eE33XTTT/30T33OZ33ON37zN77Fm7/FT/7UT770S730sWPHMB//SR9/9913f9/3f9/yaPkTP/kTN9xww5/9+Z+9yiu/yt/+3d8+6EEP+sEf+sH7zt733d/z3cuj5Q/9yA/ddONN586fu3Dxwiu94iudOHFia2vLtiRAkm3ANg9gG7DNA0iyzWW2ucy2JJ6TMQ8EtZSyd+nSW7/VW91w/fWf8Tmf+6u/9GuZyQPY5kVmm8tsc79aKyCJy0opgO0SBbAdEUFwWSkFkGS71mo7IiRJAiRJAmqpPD+lFC6LCC6TVGu1zQtgm8ts84LZ5oWSZFuSbduSeICIAF7lVV4lIv7+H/7+lltuuXDxwtu+zdtec801tjNzmqbzF87PF/PW2uHh4eMe97hXf/VXf/CDHlxrXWwsPuSDPmQYh3d6x3daLBZPfOITn/TkJ73aq77ag255UK11c2PzYz/mYx//+Mf/3M//3Cd83CecPn36bd/mbSVlpiTbvGCSbEuybVsSz8m2JNu8YLYlBVBr3d/be/mXe7mf/Ykf/4Iv/JxaK/eTxAsgiReNJMC2bR5AEi+AbcA295MESOJ+krhMEg8giQewbVsSIIl/DdvcTxIvlG3ANveTBEgCbAMXLly4ePHi7qXdl36pl37zN33z3/29353P5q/7Oq/7yEc88r3f771vv/327a3tWuupU6fe//3e/2//9m/3D/Zf9mVftkQ5PDospazX69badddd9/7v+/5/+3d/e3B48DIv8zK1q+v1er1eb25uAseOH/vMz/5MQBKXSeIFsA3Y5n6SeABJkrhMEvcT4jKBJNs62DvPZa21rc3Nu+6++xd+5dc/6AM+aJqmUgqXSbIt6dKlSxsbG13X2QYkAbYBSYBt/iWSbEuyzWWSbEuyDQCSbHM/SYBtXgBJgG3uJ8k2IAmwzWWSANuAJMA2z0PSOI5HR0fHjh3LzIi4dOnSxsZG13W2AUm2JdnmMkm2uZ8kwDb3kwQ8/elPP3369Pb2NvDkpzz5+uuu39raSue5c+eOHzsuqbVWa621PuO2ZywWi2vOXHN0dDSbzYZx6Go3TVOttdb6jNuesVgsrjlzzdHR0Ww2y8xpmhaLxTAMe/t7p06ekmRbkm0uk2Rbkm0AkGSb+0kCgHEcj46Ojh07ZpsHmKap67ov+4ov+5RP/5TTp05vbmz80e/+zrFjx8ZxrNyvlGK4uLubrXGZJNuAbZ6HJNs8D0m2AUm2JdkGJNnmfrYl2QZs8y+xzfMjCbANSAJsA7YBSYBtAJBkm+chyTYgybYk/iW2+ZfY5gFs237IQx4CZKakRzz8EUBmRsQ1Z67hsq7rgMx80C0PAmxvbGwAi7IAaq1Aa+1BtzwIyMyNjQ2glNJ1ne2+70+fOm2by2xLsg3Y5l9iWxLPQxLPycZgACRV7mcbKKVwP9uSbHM/27wAtrmfJMA2YJvLbHOZbS6zzf0k2ZYE2LbNA9gGJAG2eQFsA5JsA5IA21wmiedkm/tJAmwDtiXxL5FkWxJg2zYPYBuQBNgGJAGZKSkibGemJEm2bUvifpIyU5Ik2zyniLANRIRtHsA2l9nmMtvcT5JtSYBt2zyAbV40QhLifhCSeAABEvezzQNI4nlI4gFs27YNSJIkiRdKEgDYts0LYJvnYZvnZJvLbPMAtrmfJB7Atm3bgCRJAGCb+9nmASRxmW3bvAC2uZ9tQBL3k8T9JHGZJC6TxANI4nnYBiRJksQLJQkAbNvmhbLNA9jmAWwDSFwBwXOyzXOSBNjmOdnmMtu8ALZt2+Z+krhMEvezbZsXgW1AEg9gmxfAtiTuZxsAbPMC2LYNAJIASYAkHsC2bV4EtgFJPIBtXgDbkrifbS6zzQtg27Zt7ieJyyRxP9u2edFI4jnZ5n4SNtiAbdvVNg8k8ZxsA5KAWuswDF3XSeLfShKXSeLfShIvMkn86w3D0HUd96u1DsPQdZ0k/k0k8SKTxL+PJC6TxL/SMAy1Vl4YSVwhCaiAJNtcJgBzP0mAbQDY3Nzc29s7ODiYzWb8W9mWxP1sS+KFsi2JfyXbEWGbf71hGFprOzs7AGB7c3Nzb2/v8PCw73vbknihbEviX8l2RNjm3822JO5nWxIvgmEYWmvb29u2JdkGJPE8DIBtSRWwzf0MIC6TZFuSJMC2pJ2dncPDw6OjI54f25K4zLYk24AkwLYk25IAwLYknodtSYBtQBJgW5JtSYBtLpPEA9iWxIvMtiSeU611Z2cHsM39dnZ2Dg8PDw8PJfE8bEsCbAOSANuSbEsCbHOZJB7AtiReZLYlcZltSbYBSYBtSbYlAYBtSTwn2zwnSUCtdXt7m8tsc5lt7icJAAQCSUDlBbPNZbYBwDawubnJ/wO2eQDbwObmJv/7ZWZE8DwyU5Ik27xgtsFcZtu27cr9JPH82OY5TdNkm8tsS7LNCyKEbEsCbEuyLck2IInLbHOZJNsAQsgYEDIWsg1IMhayDUgyxiAAzDOJZzKSuMy2JNu8IEKI58cYIwkAbHOZJNsAQsgYEDIWsg1IMhayDUgyxiAAzDOJZzKSuMy2JNu8IELItiTAtiTbkmwDkmx3XZUiIoCptfUwjOPUdd2s62otEQFkpu2I4AUzAAZAAFTuZxsQz0GSbUASYNt2rZWr/tf6i7/521/5nT/4qz//40v33bm/e2F1uDff3Nk+furYNTe+7Cu80hu91qu/7Eu+BNBakySJ50cIkCQJCanynNLG5n62ucy27YiQ9Ku/9qt//bd/LcR/ENuS+F/FtiT+x5NkGwg8qv7W7//RnX/56y+3sfsm1/DIE1xzgpNzLqy574gn3cbv/Pn3/MBXnLj+pV/ncz/tU1/lFV4OaK2VUmxLss1zsQ3Y2BWQlJkRUbp+Pp8jcZkk2zynz/zsz/yqr/mq1WplDGAAY0CI52QsxLMIzLMYCxkL8ZyMhYyFEBjAWMhYiOfHWMi2JGNACDAW4jkZA0I8J2MhnkVgnsVYyFiI52QsZCyEwADGQsZCPD/GQrYlGQNCgLEQz8kYEOI5GQvxLAJzhUFQ5GHgzEZ+ykvx/m/I9lYgaMaQnN7hkeLVi97X7B/sfts//OR7v+1vvNbbv983fekXlm42tVYibPOcbBsy0wBUwPbm5ualS5cu3nH7k5/8ZNuAbdvcLzNLKb/8K7/8lV/9lZtbm8eOHbPNZULG/M8jyTbPj5Ax//NIss3zI2TMv5JA4vzK73zj+ptf8eDYxsjauUqDAJBwAzAWbPd87CvHez12/x1/4itf/R8e/ws/9L0nT52epqnWalsSlxkjRcTm5iYAVKDv+9/4zd964pOf0s/mz3jGM86cOcNltgFJtltrpZS//bu/Xa/Xx48fH4ZBEpfZlsQD2JYE2JZkWxL/EtuSbEvi+bEtiQewLYl/PduSeADbkgDbkmxL4l9iW5JtSTw/tiXxALYl8a9nWxIPYFsSYFuSbUk8gAA4GP2xjzr6/Jc6RExHlCDEA0k8i007ylMLfuPt6kf85i+99pu++W/+/M+ePnPNNE0RkZncr0QcHR393u///pu84RtO01Q3t3d+4Rd+odTZh33oRwBHR0c//KM/DHRdx/0k9X0PzGazUkoppes6HsC2JACbKyTbEjaSuMy2JJ7FRuIKG8m2JO5nWwJjkMRzsg1Isi0BwkYCsJF4IBsJGwkM2EgCsLlCsi1hI4krbCSexUbiChvJtiSexUZgDJJ4TrYBSbYlQNhIADYSD2QjYSOBARtJADZXSLYlbCRxmW1JmSnn+RWf8tjDz365IwYyqcELJ6hBTkSbvu4Ny8f9xp+8wdu+02/+zI+dOHka6Pse6Pu+lhrSzs6x5Wr6td/8rTd6ozes3/3d331wtH7f937fZ9z2jL6fPeGJT7j1Gc/Y3d09f+FCrVVgAE/TdM2Za2+//fb14fq++85ObeL5EQAG8UwGgUFgLjMSBgFgEM9knkk8kwEQAAZAYIMQgMDmmcSzGQQGAWD+fQwCEADmmQTmmQSAeT4ENghACGyeSTybQWAQAAaBQWAQGMSzGcQzGQQGAZDpxbxv/dY73bL87Jc68oBNiBdRiDQ6al/xWuVtfv533vBt3/Gnv++7HWW5XF533XW33X77+nB9X57dPzx8zdd8rZ/4yZ/4nu/5Hn3xl3z+1ubWOE2SJGVmm6au721L2IBBtkNarVer1VqSscCAzWU29zMIAAMGQACYZxLPZJ5JPJsBEM9kAMQzGQQGQPyrCQwCwCAADALAIDAAAsA8k3gm80zi2QyAeCbzr2YQz2QQGAABYBAABgFgEAAGgQEQAJm5sZj/zeOf9Me/9rN/9qYHp+aZjRD/WmmicGHdvdTP9FvXP/QD3/PdS1czPQzDer1WSLCxsVFrd3BwUD/pEz8VJp5NIGgYBDYGG7CtCCQwBtuAbcAGjDEGQGCuMGAQGMQzmWcSGAAJAGMABOaZBAYBYBAYBIB4/gwCwCCeTTwfBgFgEC8SgwABYACDwAAIAPNMBoFBvEAGg8AAiGcyCAwCg8AgMAACAyAADIDtfjZ/x/f94A958N6pHU1Lqvg3CDE1Tm6On/xS3Sf+7bntrc33/8APa+NRqRUFAHZrgEro0sX7AGPMA9kGjDG2AcC2bduAbcA2YIxB2GDz/BgDkmzAkmyDENgACIEBENhcJgkwYCQwgARgAAS2JdnmeUiyDUjClmQbQMIGkLB5ISRsQJJtAAmbKyRsEAIbACQBBmxL2IAkwBgksC3JNgACwACAZBuQZCNhG0DCBknY5pkE5plk58Zi/ld//4SPee+3+/032N2e4UQ8kCiFNoEolWw4eQEMEgdjvOqv7IzHb/7h7/r2hz/84cvlUhICkIQx1FIKYJv7SbINALYB28YAxrZtLrNtGzDGAMaYK4QQtgFJtnnBJNkGJNnmWQRGkm0E5oWQsAEkbBACAAMGJNnmhZAEtgFJtnkmgXlOkmwDkmyDALAk25JsS7IxBkBgAMT9JGwASbYlQIBtLpNkmxdKkm1A0jRNx7a2fvuP//IVtna3t6KtsogHEDZ7E5tgszuygE7YIDDPSdCSrUW+7vXtO27b/emf+elP/qRPrrVKQkiyDQgFAEgCJEmyDdi2DdgGMJgrJAG2uZ8QIEkI8UzCNgDYliSJB5DEA0gCbHOZJECIyyRhAElcJgmQJInLbABJNgAGIwRIAbIBgUAgISlAIBBIyAYEspFCCASAQFKAQCCQJJANCBCAQCCQFDZAKIQAFCBJkrjMBpBkG7CxzWWSANs8gCRJPIAk2wBgu5SyXA1//7d/9WqnQTwnkWbjGG/zyXQbdDPe/Yt50EsxGiCNgudLvMqpdV/4nd/9/bvuuqvrOtuSbAOA7ZAEGPMAkiTxAtgGJAGSJAG2bdsWQgC2eZHZ5jJJPIBtnpNtSYBtHkASCHAaI8AGbNu2DSAhEJIkWRgjJCEQxggEAgEgAQgEAoFAIIyNEAohEIQQxohnsZ2ZgADbtm0AkCQAbPM8bPMAkiTZtg1I4jLbPEBIh8vV4fl7XuwENIsHkEjYPMVbfiGzLT7oZ3jsG3H2yUxQ52zsMCTPQ0Djkdttu/rshYt//dd/M5/P02mbZ4EAJHGZbduAbds8i7jCGJDEA2RmRCwW84iYz2a1VowEAgEgANu2eQDbQtzPNmAbkGQbkCTJtm0eQBKX2baNsC0Mrl2ZzbpSynw2k1Rrmc/npRYEGACMjXkW8VwkAGNkxBUCbEkCASAMYEuSZBuQJMmysaHUsljMu64CXa0b83mJsFOSbfMAEgDYBiTxALZt8y+RtB7G/YvnTy8gkXgAA2Ry4Rm827exdZove2UuHvEq78An/gkf/4e81vszgoIHEGBO9i7K9Tj+5V//dWtNEpdJAoAK2OZ+kmzznIQsY4SMeQDj2tXDw6O/+8vHHRwezWb9Yx/5qFMnTozjJAEgAMtCxjwnY0DINuJZbEsyNgYkGQsZAwhsiSsk2UYAXakXL+097klPurS/98iHPPRBN9+0v3fw949/wrGd7Rd/zGNaawAgAJAwCGxAPIARSLItnpMtQMIGxGU2EJJtbECScdfV/YODv7/ttmtOn77x+uvvuOuus+fPP+SWW7Y3N6fWJIEBAyABmGcyRjwXIS4zBhDPwSg0TNPR4f6xGZjnJsiJrdO85FvybW/H7poNcONPvo/FDm/0yfzJdzNNSGCuEMB2Z2Urpd539r7VahURPIsBqm1AyFiSbUmAMeYK29xPkrEQYLtEOTw8+rXf+e2bbrjhJR7zmHMXLvz2H/zBa77yK19z+vQwjpKEEBiELABAYABJgG2FMM+iEIB5JhGEbSEAAxKXSbYl2dRa/+7xj7/19ts2NzaHcbzznnv+6u//bnNjs9SyGtYvSSTJAxkAAwpAss1lkmzbgMAgCRtAArBBwjyLxGXiClOiHBwc/s4f/tH21tadd9/953/zNyViY7Fx251//Nqv+iobiw3bNoAAwIAEgCRjIcA2z0NIIcA2gBBKEui7Ot/YurDi1DZuSDyboXTs3cvffAvv8s3c+ifcdScPfVVO3IKCccU4EYC5n43g0qhmLUpcuHhxnMa+7zMTsA0AIYkrxBW2ASFJkiQBQoAk2xjANlBr/au/+7ubb7zxNV/5Va49c+YVXuqlXvrFX/wv/vZv0lZIEuIKIZ7FCHGFAYS4TJIk27Z5FvO8DJYMgA2Affe9977CS7/0S7/Yi504duwNX/u1t7e2XuYlXvwVX/plSinICAQCASAQCISFMUKSJAAhCYGEMCgkCckSQhISQiGFkIwQCITtWd8/+elPu+bM6Td/gzd47Vd9tevOnHntV33VN3+DN7j29KmnPP3pfddlJkISEhL3k2QbY9s2L4Bt24AkIYyQ7VnXbR07cW4F4jkJAHHmYfzS5/H3v8An/QXXnOGl3prVHnt3c/2L8ZjXYw1ReKDg/FoTpZayu3tpmiZJgCSugLDNZUK2AcA2z0mSJNuSJAGIiGhtWq1XD7rppuVqOU7T/uHhTTfcME7TMAwlijEASAIkSZIkCSEJQEgCJEkCAEmSJEmSJAmQJEmSJEkSEsISEhKIrqsKDcMwTdPUptlsFiVW67WxuUyShISQBEiSBACSjI2NJSEkSZIkCTAGZAswwgKMbdtgnkUYd13XWlutV11XX+XlX77rutV6NU2t7zqEhAAhAZaQJAmQJEmSJEmSJAGSJEmSJEmSJNsAQlKmtzbmi5PX/t0FKEoewCbg6Dw/88l44vvfjz/+Lk4+iG95a+qMW/+UH/og6gzAPEsCwRMulRVdEZubm6UU24BtQJJQlWSbB5Bkm+dkm/sZS8Jk5mw267v+wsXdB914c2sHi8X8zrvvnvWzrusyUwgAhIwBSYBtSdzPNs+PJNtcJsk2l0myLQQCzLPIxokiIgKU6UxHhJAkIcwVQhghDCAEYIS4wjyTELKNkCSEsLlMXCbEZZJsA0jjOD38QQ/55d/+zfvOnT998tTB4dHGYnHvuXP3njv3Mi/xEuM4SQEIQDw/kgDbABARtnkekrhfZm4sFi/7ci//B9/zox9oggcyIY4u8VNfwgYIvv9TmAPwDe9BhYQC88CN+wWQ/P7ZrpstwMeOH+u6DvMstoHgfsZcZlsSwrZtQJIkSQhAyLYkJGc++hGP+NvHPe4fnvTEqU2333nXr/72b19z5vTm5oZtSQhJxlxm2zaX2eZfIgmQZJvnZDAYEAiEJIn5bJaZ62Hou9rVOp/N7BynCUAAEgIJhRQgEAgEQiGEQggEAjBGSAIQlhAIBAKBQCAQCiFCtGxbWxsv95Iv+bt//EeHR4c729sHh4e/98d//HIv+ZKbmxuZTZIkG9tcJkkS97PNZZK4TJIknpMkQBIQEYfL1Ru91qv9zfr0pf2MgnkgI7FTESCOd/RBH+xUNgpblXng5H6GCPaW+oMLszPbi/UwXnvNNfPZPDOFuEySpPKpn/KJkngekoy5n20eQJJtSS3z+LFj29tbf/f4x912xx133nP3g2++5c577u5rd/L48ZYpCSEkSZIkSZIkcb+IACRJkiQpIrifJECSJEkRAUQEIJAkJCRUIp5y66133n33Xffee3B4ePd99+1eunTx0qVbb7/9lhtvuu6aM5mJJAkEAkAgEAgEAkDiCoFAAEgCJBBIAoSEhECSABAAAkma2nTm9OmW+Sd/+ZeLxeL3/uSPH/3wRzzqEY9YrwcpAISQJEmSAECSJEmSAEmSeABJkiRJkgRIAiRJmqbpwTde/0t/+rhzT/2HV3twtMEhnoOTK5xgME5snGAeoJno+ZYnzn7u7KmbTh9bD+M7vf07vNRLvsRyuYwIIa4wFbCNkIWwzf2EELYBSbaFjCUBtoEIjeN4y4033Xz9DetxrKVsbm48+alPu/fc2ZtvvFESgEEAmOcgMIBtnkVgbAOSbAOSAGPMFbYRgJBtrpCuOX1qf//gJR7z2K3NzVtvv+3g4GDW9y/3ki914tixaZqEAEACgxAy5gqDELKNEAJhI0CAkIQxBpDEZeKZJAnZRggBVlmt1i/5mMcuZrPf++M/fpWXe/lHPPShy9VKEpcJWRayDUiyjcBIAmwDtrlCCNlGYK6QZBtAAE6DPu7DP+jD3uNXPnj/0s6MbIT410pTC3uH+uanbF5/+vg4TceOHXv5l3vZ1WoVEZJsA5KMdbB3HpBk2zYPIMm2bR7Atm3uZxuwDUgCWmZfq6G1JskYAyAwzyYAzDMJzDMJDIDAPJvAPJvAPJeI6Ls6Ta1l67t+mqZSS2ZO0wQCJGzASNggBOaZhACwQQgMmCskABsERsKAASRsAAmbKwQIwHatdZqmWrtxHCXxQALAPJMAMM8mMMZCxkI8F4F5JoFp2U7sbH/wJ3zGpV/62h99i+J1swnxoksjocL7/v7mL1669hE3XnNh99LbvvVbf+anferh4VGEJNk2BiTpYO8897MtyTYgybYx5grbgCTbtrnMGHOFMVeY5yVkDACSbHOZEAKwzfOQZBuQBNjmOUkCbMAgsG1JgG1JNhIgMC+YkDHPSciYyyTZ5pkkAIx5HkLGgCQbMGATobQFkjAGsCTbPA9JGGNeMCFjnpOQse1SCtne9F3f91XP/vKXvV7xUUtTxIuimSLo+aw/m3/1rWde7EHXjS1nff/t3/LND37Qg9brtSQuMwaAkARI4jLbXGYbEOIBJNkGEFcIcT8hISFJCEkIBCAJAUiSZBuQBFgGbPP82AYkAba5TBIgSZJtY2Rjk8YKSUhESCICQLKEhISEhISEhISEhISEhIRESAgJSSGBJUKSkIwAS0hISAgkBGAJSYBkQCJCtkNIAlsGA7Z5IAFIsm2MeGHEswlAEgKIiNZa189+4Ju+6pfKy3/cbzR1USqTMS+MYTKlQuHT/3TxtU8/+cgbzyjK/sHBO7zd2z3iYQ9brVaSuJ8QAOhw/wJgG7DN85BkOyKAcRwBSba5LCJaazwn2yAJ26WUzLQtyTaSwLYknh9JtnkASbZ5AEmAbR6g1mo7pHGauJ/tiCgRU5sAEM9JEtiAeRYJm+dDYJ5FwgaQZJvLJEnKTMAYI4n7GQtAxqGwbRsRCsA2LwJJtvmXSJpa21ws7r77rrd9nw950H1/+I2vrhu2RxqtAQgACRvAAJQClWdcjE/4y8WvXDj5yBvPzGazCxcvvs5rvdaXfOEXpNNpSYAkwLaxkA73L9jmMts8p67Wu+6990lPe2rfdQ9/yEOvPX16mqa0IyKk5Xr19Gfc9qiHP9y27YjITECSbUHXdU94ylNOnzx56sSJ9TCUUrANJWKcJts8D0m2AUm2eX4k2eYBSsStd9xx+5133nj9dQ9/yEMzEwBqrQcHB5f2966/5lrbSJmZmdxPkm0biX8NgXk2gYFSyu6lS4970pMWi/kjH/qw7c2tdAKZWSKQANvYfd8/+elPP76zc+rkyXEcbdvmfpJscz9JtrmfJNu8CCSN03R8Z+cJT3zCm7/r+6zve8bHvYTf/2FHxxeJIME8kyDA7B7pm540+6anbg6z4w+97oRKvXhx99GPetTXffVXnTxxYr1eRwSXSbINAMblUz/lEwFJXCaJB+hqve3OO8dp7GpdrVf7B4dPetpTTx4/8fRn3Pqkpz51Y7F44lOfcu/Z+xbz+Wq9/uu//7ta6z333XfXPXcDf/33/1Aizl44/5Sn3zpN0/bW1t89/vEXd3cj9HdPePzWxubGfJ6ZkgDEswlJPIuQhAAQCAwgicsiYrVaPf7JT3qxRz16WA+Z+Q9PfOKs789fvPDkpz3twu7u3z3u8ddde+1Tb731jrvuOnn8eClFIEAISQASEhISEhISkiRJSEhIkgAkJCQkAAkJoOvq+fMX77j7rofeckuJ8rgnPylbXti92HXd3ffeu7e//7eP+4f5fH5hd/cpT3+apFLKU57+tPUwHN/ZtnkmASCeTQCIKyTxAJK4TBIgSRL3i4iptWFsL/uSj7l0OHzNbzzlZ+/ZfPylerBmOTI0Ye4+iqfuxe/e03394+ef8fdbv3Lx5LXXXHPjqWPrqe3uXnrN13iNL/78zzt18uQwDBHBZZJscz+hCgC2jQHb3M+27VrrhYsX5/P56a77hyc+YXtz82/+4R9KiUc+7GG7e5cWi8W1Z8485WlPXw9Da+22O+5YrpaPeNjDn3rrMx724AdLmqbpphtuuHjp0t7+/rkL5zc3Nvb290spJ44fn6YpIngW8WwCIwlAYIQQzySMjRFAhFq2iLjm9CnhcxfO7+5detozniFpZ2f7+M6xcRyPlsun3Xbb1sbGvWfPPuRBtwzDIEWIyyQBADaABGBzP/EAEiDuJ3GFZCBKtJbDOK6HS7u7lw4ODo4fO3b+4sXW2jiOD3vwQ55+2zPGabrxuusPjw53L13avbQ3DMON110XJTDGQlwhEBgAYSwJQAghhADbkgBJ3E8SlxlKKVOb1lP72I/68Jd/qRf/zh/40e96xu733+5js4icCjk5JrR0V/v59We2XmzeDeN0bvfS8WPHPuB93/cD3u99u65br9elFNtcZpsHgsrzI8k2ICmdj3r4I2Z9f/bcuVPHT4zj+NBbbnnGHXc86alPvfaaM9tbW2dOnb50af/Yzs7td911zZkzF3Yvnjx+/PDw8ClPf9r1110362fXnDo1tWlrY+PS/v7W5tbmxkKKWus0TbwAsowBSYAxz0mI+7WWW5tb21tbv/F7v3fm1KnWElgPw2IxP3Py1MbGxsHRYURsb272fX/q5MnWUgoAZFuSbUASWJJtAJBkGwTmmQLM8ydQa+2m669/iRd/qT/5sz9p2WicOnHyT//qL1/tFV/pvnPnnvy0p1175swwDCePH18P61nfb21u7h/sZ2YtJXEobPMs5lmEAEm2Jdk2lgRIsm0bkGSb+wkkATdcc+0rv/wrvMSLvdhDHv7wf/ibv/2V3/iN+85diFgoYqOWkE7KghzXl4b1iZMn3vAN3uBd3/mdHvXIRxwdLdfrdUTYBiTZBiTZBiTZ1uH+BdtcZhuQZBsAJLXWMlNSRLTM5XK5s729Wq9Xq9XO9nZrTZLtWsulvf3FYi4UEZJ29/a2NjakAOzsu+5wuQTms1nLLBGAJNs8D0m2AUlcZpv7SbLNA0iyvX94cGxru2UeLZd91ymiRJRSlstl13WttXGaNjc2ANs8gCQbMC8CSbZ5HpJs2067RABHy2XXdSWitdb3ve1L+3vHtncyU5LtiFiuVl2tfdelDUiyDUiyzf0k2eYBJGGM+ZdIysy0Q8rMvu+7rrv99tv//C/+4i//6q/vvueevf39w8ODjY3Nne3t66+//hVe7uVe/uVe9uabb87M5XIZEdxPkm1Akm0uk2RbB3vnuZ9tAJBkm8sk2eZ+JWJqDSilTK0JbEuyXWttrRljbNdaWkvbCCHbESEpM21zhcAgMM8mMM8kMAhAyDYvgKSIaK1Jioh0YgDbEWEbiIjWGs8ihADbvGCSANtcJmEjYfNsAgNIAmxLigjbmRkRmQnUUqbWJHE/SUBmcj9JtrmfJMA2VwghwDYvmCTANgBIAoyFbNvu+36xmA/DsFqtp2maWisRXdfN5/O+75fL5TAMkiTxnCTZ5jlJ0uH+Bdvczzb3k2Sby2zzALYBSbZ5HpJsA5JsAwgAYywEIJ7JAJJsAwgMAgMgMAAC80wC80wCc4WxEM/DWMhYCIF5XhI2EoCNxBU2zyJxhQ0gyTYgYYMAMM/FGJCEMRZCYK4wFuIKgXkgY0mAbSGei8AgAAzimcyziWcykgDbXNZai4iIkCTJtu3MzHSEJEmyzWWSbHM/SbYlAbYBHeyd5zJjzHORZNsY8xyEbQwgyTYvlCTbXCaJZzHGQsaAJNtcJmTM/STZBiTZ5gUQQtgGACFjIWNJgG1AEsaYF0ySbQCQxP1swCAwIMk2zyQw95NkG5BkmxdACGGby4SMhYwlAbYBSRhjXjBJtrlMEs9ijLmfJNs8gG1JPIAk27xgkmwDgKTgeUjiOQnxLALAYK6wzf0kcZkkHsA297Nt27ZtYwBxhW3uZ8wD2OYy2zwPSVxmzBUCMAYsA4BtALBtzGWSuEwSD2Cb+9m2bds2GJC4wjbPZh7ANgDY5nlI4jJjrhCAMWCZy2xzmW1jAJDEZZJ4ANvcz7Zt27aNAUkAwjbPSRLPyTbPQxLPSRJgO3hOkngA24BtnsW8ELa5zDb3k8RlkrifJElcZpv7SZLEA0jihZLEA9gGMM9mANs8P7a5zDb3k8RlkrifJElcZpv7SZLEA0jihZLEA9gGMM9mANs8P7a5zDb3k8RlkrifJElcZhvAAJIk8QCSeKEk8QC2AduApACEAMwVtnlOkgBJkgDAGHGFJC6TBEiSBACSJAGSJPEAtgFJkngA27Z5TpIAQJIkLpPE/WzznCQBkiRxP0kAIInLJAGSJHGZJEmAJEk8gG1AkiQewLZtnpMkLpMkCQAkcT/bPCdJgCRJ3E8Sl0niMkmAJEkAIEkSIEkSD2AbkCSJB7Btm+ckCQAkSeIySdzPNs9JEgBUAIG5wjaXSbLNc7INAEK2ucw2l9kGbHOZJNs8gCRJtgFJXGZbkm1eMNuAJNtcJsk2l9nmMkmAbcA2l9nmfrYBwDaX2QZsA4Ak2zyAJEm2AUkAYFuSbV4w24Ak21wmyTaX2eYySYBtwDYA2OZ+trnMNpfZBmxzmSTbPIAkSbYBSVxmW5JtXjDbgCTbXCbJNpfZ5jJJgG3ANgD8I23R5XPiaXqJAAAAAElFTkSuQmCC","media_type"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data/sources*\nair.db\ncommerces.db\ndemenageurs.json\ngaz.db\nhydro.db\nimgcache\ninondation.db\nlouka.db\nlouka.db-shm\nlouka.db-wal\nlouka.db.backup-avant-m1\nlouka_ct.db\nlouka_ct.db-shm\nlouka_ct.db-wal\nquartier.db\nrdl.db\nsources.json\nsources_ct.json\nstaging-contexte.db\nstaging-environnement.db\nstaging-recensement.db\ntal.db\ntransit.db\nuploads","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1fae6500-0263-4e72-b2bc-86c8b4aea014","timestamp":"2026-08-25T15:28:02.726Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/lou-ka/frontend\n(eval):1: no matches found: data/sources*\nair.db\ncommerces.db\ndemenageurs.json\ngaz.db\nhydro.db\nimgcache\ninondation.db\nlouka.db\nlouka.db-shm\nlouka.db-wal\nlouka.db.backup-avant-m1\nlouka_ct.db\nlouka_ct.db-shm\nlouka_ct.db-wal\nquartier.db\nrdl.db\nsources.json\nsources_ct.json\nstaging-contexte.db\nstaging-environnement.db\nstaging-recensement.db\ntal.db\ntransit.db\nuploads","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3d4f8dc7-9156-4fe3-87f5-23a827f9ce45","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhiuMzCYYa5HfU2S2EE","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISwQIKpwEIERgCKkBGnpUSuFOhPdqN1UpSW2LdiKwz4NG2xdo4iKwJ1vZTKJXv4u/4LqFsMr4wPJhdzrLWeBvKXmYEkEqI2wCwYLVZMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAGG6bbUBrABAhIMr7Yeh0vG1zdCu8h7GgzfmoVTzsjkUfTvxVoiMGHMBbGEIEAJcJ/dNem5ky/UmTCWJZOXNVOHhosY4J160gbGH24PGsGZB2GrRUZH9ypHUMl6a6OIOU85HxuANtvb1HnwWoXjFsJo4APHvhr0cARCgZBIEbuQDs65wGZUwAHK8m6rxo2vIB249WMt5Bm5/2CmZzhi5egYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":349,"cache_read_input_tokens":119253,"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":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b745de39-ad76-49e1-b392-d14b32b4d269"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Fetch two Vrbo detail pages without render","usage":{"total_tokens":74849,"tool_uses":31,"duration_ms":325688},"last_tool_name":"Bash","uuid":"d8f92a8a-f8ae-48ea-9c6e-b3727786da6b","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhiuMzCYYa5HfU2S2EE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013MuAs6QCGVrsdwEdi3ranm","name":"Bash","input":{"command":"cd /Users/simon-pierreboucher/apps/lou-ka && python3 -c \"\nimport json\nd = json.load(open('data/sources_ct.json'))\nprint(json.dumps(d['sources'][:2], ensure_ascii=False, indent=1))\nprint('clés racine:', list(d.keys()), '| n sources:', len(d['sources']))\"","description":"Structure de sources_ct.json"},"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":119253,"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":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"687553b2-d6f3-4288-be50-509cae4f8bfe"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013MuAs6QCGVrsdwEdi3ranm","type":"tool_result","content":"[\n {\n \"id\": \"airbnb\",\n \"name\": \"Airbnb\",\n \"url\": \"https://www.airbnb.ca\",\n \"category\": \"internationale\"\n },\n {\n \"id\": \"booking\",\n \"name\": \"Booking.com\",\n \"url\": \"https://www.booking.com\",\n \"category\": \"internationale\"\n }\n]\nclés racine: ['sources'] | n sources: 31","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fb2ab688-d91f-4144-80a7-85e8c93cd012","timestamp":"2026-08-25T15:28:08.664Z","tool_use_result":{"stdout":"[\n {\n \"id\": \"airbnb\",\n \"name\": \"Airbnb\",\n \"url\": \"https://www.airbnb.ca\",\n \"category\": \"internationale\"\n },\n {\n \"id\": \"booking\",\n \"name\": \"Booking.com\",\n \"url\": \"https://www.booking.com\",\n \"category\": \"internationale\"\n }\n]\nclés racine: ['sources'] | n sources: 31","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"47152722-1349-4669-8e3c-2dc3b34bd9ad","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"btaczfnle","tool_use_id":"toolu_01WhR6gSzLMbt2HWFUHyp4Nt","description":"Fetch two Vrbo detail pages without render","task_type":"local_bash","uuid":"459bd157-3b06-4bc8-81e6-63801b66f9cd","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjLV5tiai51PB4tCoK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":360,"cache_read_input_tokens":119602,"cache_creation":{"ephemeral_5m_input_tokens":360,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"dfd36cf2-0886-4858-bb47-4c8efdf813fb"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjLV5tiai51PB4tCoK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EY7aYNXM7nrddYR5BRTtm4","name":"Bash","input":{"command":"python3 -c \"\nimport json\nd = json.load(open('data/sources_ct.json'))\nfrom collections import Counter\nprint(Counter(s['category'] for s in d['sources']))\"","description":"Catégories existantes du registre CT"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":360,"cache_read_input_tokens":119602,"cache_creation":{"ephemeral_5m_input_tokens":360,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f45620bb-9815-4947-ba80-c490429e0db7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EY7aYNXM7nrddYR5BRTtm4","type":"tool_result","content":"Counter({'internationale': 11, 'quebecoise': 8, 'petites-annonces': 4, 'officielle': 3, 'relogement': 2, 'agence': 1, 'gites': 1, 'cas-particuliers': 1})","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d9db95bf-99dd-4337-85a8-3ad7024b5349","timestamp":"2026-08-25T15:28:13.445Z","tool_use_result":{"stdout":"Counter({'internationale': 11, 'quebecoise': 8, 'petites-annonces': 4, 'officielle': 3, 'relogement': 2, 'agence': 1, 'gites': 1, 'cas-particuliers': 1})","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e3802155-f4cf-4d91-a1d3-831e9d3218bf","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"btaczfnle","tool_use_id":"toolu_01WhR6gSzLMbt2HWFUHyp4Nt","status":"completed","output_file":"","summary":"Fetch two Vrbo detail pages without render","uuid":"d0273c3a-8a08-4e09-9f72-38e1b4390b2e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bekfj9nb2","tool_use_id":"toolu_01BuagZJeSrw9o9VhHrBvjR3","status":"failed","output_file":"","summary":"Dump sections d'une fiche unité Sépaq","uuid":"f51f7a89-9822-4d87-a6b4-b12ee9bbefeb","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjgSt2HzesKj41Bwij","type":"message","role":"assistant","content":[{"type":"text","text":"Je lance les 4 agents d'écriture des nouveaux connecteurs (21 sources retenues, réparties par affinité technique)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":300,"cache_read_input_tokens":119962,"cache_creation":{"ephemeral_5m_input_tokens":300,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"80e83c5d-11d3-4320-9b9c-4424a0fe2f43"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Inspect Vrbo detail plugin state","usage":{"total_tokens":75785,"tool_uses":32,"duration_ms":341520},"last_tool_name":"Bash","uuid":"f9e24fdd-29e9-4fbe-9ddf-d5b35fbcebbb","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bt6f8qe2b","tool_use_id":"toolu_01B4VDpJ28Wzz6TxuFLFt4kk","description":"Lister slugs unités Sépaq depuis le sitemap","task_type":"local_bash","uuid":"e90da275-0c30-4c68-bacc-68e230fdcd33","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bt6f8qe2b","tool_use_id":"toolu_01B4VDpJ28Wzz6TxuFLFt4kk","status":"completed","output_file":"","summary":"Lister slugs unités Sépaq depuis le sitemap","uuid":"3deba9b7-2840-4756-bd83-1689051ef8d7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bijr0o2yj","tool_use_id":"toolu_01V9KcWaLRVqgU3xkgkZFeQk","status":"completed","output_file":"","summary":"End-to-end sample: 1 cell search + detail enrichment of 12 listings","uuid":"7435236b-e2e3-49ba-9a29-4c9fe33a3acb","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Running Lister slugs unités Sépaq depuis le sitemap","usage":{"total_tokens":74992,"tool_uses":26,"duration_ms":330502},"last_tool_name":"Bash","uuid":"3661c729-531e-454d-93e0-465783e80ddc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Running Dump fiche unité Sépaq réelle","usage":{"total_tokens":75813,"tool_uses":27,"duration_ms":340390},"last_tool_name":"Bash","uuid":"18135f69-b7b1-4f00-92da-045d985dc455","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Locate Vrbo apollo state format","usage":{"total_tokens":76640,"tool_uses":33,"duration_ms":347040},"last_tool_name":"Bash","uuid":"2c548def-c59c-4195-8725-9ff6f4f03b97","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bmgu3bnnn","tool_use_id":"toolu_01Bidcsdz8SV4Sp6SHEHpXvW","status":"completed","output_file":"","summary":"Measure BQ description and capacity-in-text coverage","uuid":"f90a9534-4b7d-474f-bc3e-5b87a371d9b2","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Parse Vrbo apollo state entities","usage":{"total_tokens":76939,"tool_uses":34,"duration_ms":353370},"last_tool_name":"Bash","uuid":"a1bb3912-5593-4744-b777-76b74e49f67f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjgSt2HzesKj41Bwij","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014UHs5ern25nyfwBgk36uGJ","name":"Agent","input":{"description":"Connecteurs CT vague 1 (gros faciles)","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 4 NOUVEAUX connecteurs court terme pour Lou-Ka (chalets/séjours à la nuit au Québec).\n\nContexte technique : les connecteurs vivent dans `louka/shortterm/connectors/` (un fichier par source, découverte automatique par introspection — aucun registre code à modifier). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma `StListing` : `louka/shortterm/schema.py` (source, external_id, url, title, property_type parmi PROPERTY_TYPES, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities list, details dict, images list, lat, lng). `finalize()` normalise déjà (prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq, bornes géo QC) — pas besoin de l'appeler soi-même, le pipeline le fait. Backends hérités : `self.get(url)` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Modèles à imiter : `wechalet.py`, `chaletsarabais.py`, `mcal.py` (en-tête de fichier en français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge — d'autres agents travaillent en parallèle sur ce fichier). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 4 nouveaux fichiers.\n\nLes 4 sources (vérifiées vivantes aujourd'hui, extraction facile) :\n1. **chaleto.ca** (`source_id=\"chaleto\"`) — WordPress + Guesty, ~440 fiches FR multi-régions. Sitemap : `https://chaleto.ca/listings-sitemap.xml` → URLs `/chalets-et-condos-a-louer/-/`. L'ID Guesty dans l'URL peut permettre d'interroger l'API booking-engine Guesty publique pour prix/capacité si le HTML ne suffit pas.\n2. **hebergement-charlevoix.com** (`source_id=\"hebergementcharlevoix\"`) — PHP maison, HTML serveur, ~395 fiches Charlevoix. `https://www.hebergement-charlevoix.com/sitemap.xml` → URLs `/fr/chalet-a-louer/…`.\n3. **chaletsalpins.ca** (`source_id=\"chaletsalpins\"`) — WordPress, ~180 fiches FR (Stoneham, Québec, Charlevoix, Laurentides). Sitemap : `https://chaletsalpins.ca/chalets-sitemap.xml` (prendre les FR seulement si doublons EN).\n4. **memoriachalets.com** (`source_id=\"memoriachalets\"`) — WordPress CPT, 224 fiches (Estrie, Laurentides, Centre-du-Québec). Sitemap : `https://memoriachalets.com/cpt_chalets-sitemap.xml` → `/locations//`.\n\nDémarche par source : inspecte 2-3 fiches réelles (curl), repère les données structurées (JSON-LD schema.org, ACF/JSON embarqué, microdata) avant de parser du HTML ; extrais un max de champs (prix/nuit ou libellé « à partir de », capacité, chambres, sdb, description, commodités, images pleine résolution, ville, région, lat/lng si présents, CITQ souvent affiché au Québec). external_id stable (slug ou id). Utilise `self.detail()` pour les requêtes par fiche (cache). Délais polis (request_delay). Volumes <500 : pas besoin de budget env.\n\nTESTE chaque connecteur : script inline `.venv/bin/python` qui instancie, fetch (éventuellement en limitant la liste d'URLs pour le test), vérifie ≥5 StListing valides (prix ou price_label, images, ville/région) et que `.finalize()` passe sans exception. Rapporte par source : volume réel, champs couverts (%), méthode. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":300,"cache_read_input_tokens":119962,"cache_creation":{"ephemeral_5m_input_tokens":300,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7c05f7b9-8cb0-407a-bbbd-cd2a62776642"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Connecteurs CT vague 1 (gros faciles)","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 4 NOUVEAUX connecteurs court terme pour Lou-Ka (chalets/séjours à la nuit au Québec).\n\nContexte technique : les connecteurs vivent dans `louka/shortterm/connectors/` (un fichier par source, découverte automatique par introspection — aucun registre code à modifier). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma `StListing` : `louka/shortterm/schema.py` (source, external_id, url, title, property_type parmi PROPERTY_TYPES, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities list, details dict, images list, lat, lng). `finalize()` normalise déjà (prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq, bornes géo QC) — pas besoin de l'appeler soi-même, le pipeline le fait. Backends hérités : `self.get(url)` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Modèles à imiter : `wechalet.py`, `chaletsarabais.py`, `mcal.py` (en-tête de fichier en français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge — d'autres agents travaillent en parallèle sur ce fichier). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 4 nouveaux fichiers.\n\nLes 4 sources (vérifiées vivantes aujourd'hui, extraction facile) :\n1. **chaleto.ca** (`source_id=\"chaleto\"`) — WordPress + Guesty, ~440 fiches FR multi-régions. Sitemap : `https://chaleto.ca/listings-sitemap.xml` → URLs `/chalets-et-condos-a-louer/-/`. L'ID Guesty dans l'URL peut permettre d'interroger l'API booking-engine Guesty publique pour prix/capacité si le HTML ne suffit pas.\n2. **hebergement-charlevoix.com** (`source_id=\"hebergementcharlevoix\"`) — PHP maison, HTML serveur, ~395 fiches Charlevoix. `https://www.hebergement-charlevoix.com/sitemap.xml` → URLs `/fr/chalet-a-louer/…`.\n3. **chaletsalpins.ca** (`source_id=\"chaletsalpins\"`) — WordPress, ~180 fiches FR (Stoneham, Québec, Charlevoix, Laurentides). Sitemap : `https://chaletsalpins.ca/chalets-sitemap.xml` (prendre les FR seulement si doublons EN).\n4. **memoriachalets.com** (`source_id=\"memoriachalets\"`) — WordPress CPT, 224 fiches (Estrie, Laurentides, Centre-du-Québec). Sitemap : `https://memoriachalets.com/cpt_chalets-sitemap.xml` → `/locations//`.\n\nDémarche par source : inspecte 2-3 fiches réelles (curl), repère les données structurées (JSON-LD schema.org, ACF/JSON embarqué, microdata) avant de parser du HTML ; extrais un max de champs (prix/nuit ou libellé « à partir de », capacité, chambres, sdb, description, commodités, images pleine résolution, ville, région, lat/lng si présents, CITQ souvent affiché au Québec). external_id stable (slug ou id). Utilise `self.detail()` pour les requêtes par fiche (cache). Délais polis (request_delay). Volumes <500 : pas besoin de budget env.\n\nTESTE chaque connecteur : script inline `.venv/bin/python` qui instancie, fetch (éventuellement en limitant la liste d'URLs pour le test), vérifie ≥5 StListing valides (prix ou price_label, images, ville/région) et que `.finalize()` passe sans exception. Rapporte par source : volume réel, champs couverts (%), méthode. Max 400 mots.","uuid":"9b8541cc-0e70-40d7-b15d-1def551a6bf5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: acde830e206f8fc9e (internal ID - do not mention to user. Use SendMessage with to: 'acde830e206f8fc9e' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/acde830e206f8fc9e.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"92aea05e-ae5f-4fff-bdd9-a52c68feae14","timestamp":"2026-08-25T15:28:38.829Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"acde830e206f8fc9e","description":"Connecteurs CT vague 1 (gros faciles)","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 4 NOUVEAUX connecteurs court terme pour Lou-Ka (chalets/séjours à la nuit au Québec).\n\nContexte technique : les connecteurs vivent dans `louka/shortterm/connectors/` (un fichier par source, découverte automatique par introspection — aucun registre code à modifier). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma `StListing` : `louka/shortterm/schema.py` (source, external_id, url, title, property_type parmi PROPERTY_TYPES, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities list, details dict, images list, lat, lng). `finalize()` normalise déjà (prix depuis price_label, drapeaux spa/pool/waterfront, pets, citq, bornes géo QC) — pas besoin de l'appeler soi-même, le pipeline le fait. Backends hérités : `self.get(url)` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail TTL. Modèles à imiter : `wechalet.py`, `chaletsarabais.py`, `mcal.py` (en-tête de fichier en français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge — d'autres agents travaillent en parallèle sur ce fichier). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 4 nouveaux fichiers.\n\nLes 4 sources (vérifiées vivantes aujourd'hui, extraction facile) :\n1. **chaleto.ca** (`source_id=\"chaleto\"`) — WordPress + Guesty, ~440 fiches FR multi-régions. Sitemap : `https://chaleto.ca/listings-sitemap.xml` → URLs `/chalets-et-condos-a-louer/-/`. L'ID Guesty dans l'URL peut permettre d'interroger l'API booking-engine Guesty publique pour prix/capacité si le HTML ne suffit pas.\n2. **hebergement-charlevoix.com** (`source_id=\"hebergementcharlevoix\"`) — PHP maison, HTML serveur, ~395 fiches Charlevoix. `https://www.hebergement-charlevoix.com/sitemap.xml` → URLs `/fr/chalet-a-louer/…`.\n3. **chaletsalpins.ca** (`source_id=\"chaletsalpins\"`) — WordPress, ~180 fiches FR (Stoneham, Québec, Charlevoix, Laurentides). Sitemap : `https://chaletsalpins.ca/chalets-sitemap.xml` (prendre les FR seulement si doublons EN).\n4. **memoriachalets.com** (`source_id=\"memoriachalets\"`) — WordPress CPT, 224 fiches (Estrie, Laurentides, Centre-du-Québec). Sitemap : `https://memoriachalets.com/cpt_chalets-sitemap.xml` → `/locations//`.\n\nDémarche par source : inspecte 2-3 fiches réelles (curl), repère les données structurées (JSON-LD schema.org, ACF/JSON embarqué, microdata) avant de parser du HTML ; extrais un max de champs (prix/nuit ou libellé « à partir de », capacité, chambres, sdb, description, commodités, images pleine résolution, ville, région, lat/lng si présents, CITQ souvent affiché au Québec). external_id stable (slug ou id). Utilise `self.detail()` pour les requêtes par fiche (cache). Délais polis (request_delay). Volumes <500 : pas besoin de budget env.\n\nTESTE chaque connecteur : script inline `.venv/bin/python` qui instancie, fetch (éventuellement en limitant la liste d'URLs pour le test), vérifie ≥5 StListing valides (prix ou price_label, images, ville/région) et que `.finalize()` passe sans exception. Rapporte par source : volume réel, champs couverts (%), méthode. Max 400 mots.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/acde830e206f8fc9e.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Inspect Vrbo PropertyInfo entity","usage":{"total_tokens":77584,"tool_uses":35,"duration_ms":358884},"last_tool_name":"Bash","uuid":"8b257938-e317-4822-9fae-6b549f58fa0a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ac3267241e740b9ef","tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","description":"Running Verify detail cache persistence and zero-budget cache hits","usage":{"total_tokens":82912,"tool_uses":30,"duration_ms":387912},"last_tool_name":"Bash","uuid":"6b39e32c-aa7f-400c-8c02-4c0653f1fbae","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":22568,"tool_uses":2,"duration_ms":4746},"last_tool_name":"Read","uuid":"1f81396b-0aa0-4834-af36-fe189a028485","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ac3267241e740b9ef","tool_use_id":"toolu_01EmZejxsuUWegCsnL8Tbsdu","description":"Running Compile check and line count","usage":{"total_tokens":83654,"tool_uses":31,"duration_ms":393652},"last_tool_name":"Bash","uuid":"715a3d14-900f-4f2c-bc13-efa218835e07","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/shortterm/connectors/chaletsarabais.py","usage":{"total_tokens":32241,"tool_uses":4,"duration_ms":9835},"last_tool_name":"Read","uuid":"549f5385-45d7-48e8-95ed-6ba4c4c0946e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/shortterm/connectors/wechalet.py","usage":{"total_tokens":22573,"tool_uses":3,"duration_ms":5533},"last_tool_name":"Read","uuid":"3ee3097f-9b75-4908-8d9a-ea40d00dffae","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad9f2c7acf8629f71","tool_use_id":"toolu_01U8SAQSLXJK8BjowzjWrn6S","description":"Running Paragraphes de la page établissement Sépaq","usage":{"total_tokens":77182,"tool_uses":28,"duration_ms":355504},"last_tool_name":"Bash","uuid":"fcb35952-5cab-4f5c-a1cc-add0b018ad64","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":22563,"tool_uses":1,"duration_ms":3850},"last_tool_name":"Read","uuid":"3c88e932-2d62-486e-8cb7-d2ae2f9e5cac","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/shortterm/connectors/mcal.py","usage":{"total_tokens":32261,"tool_uses":5,"duration_ms":10187},"last_tool_name":"Read","uuid":"55b91196-e88c-473e-b568-13cb69d54504","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Inspect Vrbo summary structure for geo","usage":{"total_tokens":79652,"tool_uses":36,"duration_ms":369114},"last_tool_name":"Bash","uuid":"3d680992-2d63-41d1-9bed-b4e12222123f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bygnvjd3s","tool_use_id":"toolu_01TjC62pvMcEiA4vBW3nqZyP","description":"Scan 20 BQ fiches for any capacity mention","task_type":"local_bash","uuid":"8dbd90a9-a753-4c4e-ad43-b932b4ededbd","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Reading louka/connectors/base.py","usage":{"total_tokens":40008,"tool_uses":6,"duration_ms":15032},"last_tool_name":"Read","uuid":"dcd0ffc7-f5ef-49ff-8cf9-388e8b8dca95","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"af575d5c5345c9681","tool_use_id":"toolu_01Wo9enC7TdY65orM4hs7otT","description":"Running Scan 20 BQ fiches for any capacity mention","usage":{"total_tokens":67813,"tool_uses":27,"duration_ms":381688},"last_tool_name":"Bash","uuid":"2376d84e-5141-4895-b541-daeb8df4c55e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bb9nwf285","tool_use_id":"toolu_01W2AxZMdg9zf43U1CLu9XMr","description":"Paragraphes de la page établissement Sépaq","task_type":"local_bash","uuid":"84d480a1-9667-4514-9398-a627cf78167d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Running List short-term connectors","usage":{"total_tokens":40017,"tool_uses":7,"duration_ms":15704},"last_tool_name":"Bash","uuid":"70fa68d2-c580-43ac-a70d-34aa4b0fb15c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjgSt2HzesKj41Bwij","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","name":"Agent","input":{"description":"Connecteurs CT vague 2 (segments nouveaux)","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 3 NOUVEAUX connecteurs court terme pour Lou-Ka, couvrant des segments quasi absents (pourvoiries, camping/prêt-à-camper, gîtes).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type parmi PROPERTY_TYPES — utilise « Prêt-à-camper », « Camping », « Gîte », « Chalet », « Refuge » selon le cas —, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles à imiter : `sepaq.py`, `hipcamp.py`, `glampinghub.py` (en-têtes français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 3 nouveaux fichiers.\n\nLes 3 sources (vérifiées vivantes aujourd'hui) :\n1. **pourvoiries.com** (`source_id=\"pourvoiries\"`) — Fédération des pourvoiries du Québec, TYPO3, 344 établissements avec hébergement (chalets, camps). Sitemaps : `https://www.pourvoiries.com/sitemap/outfitters/sitemap.xml` (+ `/packages/` pour les forfaits avec prix). Les fiches établissement ont région, description, souvent coordonnées et prix de forfaits — privilégie un prix/nuit d'hébergement quand il existe, sinon price_label du forfait le plus bas.\n2. **campingquebec.com** (`source_id=\"campingquebec\"`) — Camping Québec, ~700 campings, recherche `https://www.campingquebec.com/fr/trouver-un-camping` avec payload JSON embarqué à extraire. Ne retiens que les établissements offrant du **prêt-à-camper/hébergement locatif** (unités : tentes aménagées, chalets, yourtes) si le JSON le précise — un camping « emplacements seulement » n'est pas un hébergement court terme pour Lou-Ka. Si la distinction est impossible côté liste, va chercher les fiches (self.detail).\n3. **gitesauquebec.com** (`source_id=\"gitesauquebec\"`) — annuaire de gîtes/auberges, ASP.NET WebForms, ~200-400 fiches. Liste : `https://www.gitesauquebec.com/Resultats.aspx?sp=0` (pagination par postback — regarde s'il y a un paramètre GET équivalent ou augmente la taille de page ; sinon rejoue le postback __VIEWSTATE en POST).\n\nDémarche : inspecte les pages réelles avec curl avant de coder ; cherche JSON embarqué/JSON-LD d'abord ; extrais un max de champs ; external_id stable ; `self.detail()` pour les requêtes par fiche ; délais polis. TESTE chaque connecteur (script inline `.venv/bin/python`, ≥5 StListing valides, `.finalize()` ok, fetch limité pour le test). Si une source s'avère inextractible ou sans inventaire pertinent, abandonne-la proprement (pas de fichier) et explique. Rapport par source : volume réel, champs couverts, méthode. Max 400 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":300,"cache_read_input_tokens":119962,"cache_creation":{"ephemeral_5m_input_tokens":300,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"046d59a6-a371-40ec-a5f0-c18a943817b3"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"abcd421169deb75ed","tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","description":"Connecteurs CT vague 2 (segments nouveaux)","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 3 NOUVEAUX connecteurs court terme pour Lou-Ka, couvrant des segments quasi absents (pourvoiries, camping/prêt-à-camper, gîtes).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type parmi PROPERTY_TYPES — utilise « Prêt-à-camper », « Camping », « Gîte », « Chalet », « Refuge » selon le cas —, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles à imiter : `sepaq.py`, `hipcamp.py`, `glampinghub.py` (en-têtes français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 3 nouveaux fichiers.\n\nLes 3 sources (vérifiées vivantes aujourd'hui) :\n1. **pourvoiries.com** (`source_id=\"pourvoiries\"`) — Fédération des pourvoiries du Québec, TYPO3, 344 établissements avec hébergement (chalets, camps). Sitemaps : `https://www.pourvoiries.com/sitemap/outfitters/sitemap.xml` (+ `/packages/` pour les forfaits avec prix). Les fiches établissement ont région, description, souvent coordonnées et prix de forfaits — privilégie un prix/nuit d'hébergement quand il existe, sinon price_label du forfait le plus bas.\n2. **campingquebec.com** (`source_id=\"campingquebec\"`) — Camping Québec, ~700 campings, recherche `https://www.campingquebec.com/fr/trouver-un-camping` avec payload JSON embarqué à extraire. Ne retiens que les établissements offrant du **prêt-à-camper/hébergement locatif** (unités : tentes aménagées, chalets, yourtes) si le JSON le précise — un camping « emplacements seulement » n'est pas un hébergement court terme pour Lou-Ka. Si la distinction est impossible côté liste, va chercher les fiches (self.detail).\n3. **gitesauquebec.com** (`source_id=\"gitesauquebec\"`) — annuaire de gîtes/auberges, ASP.NET WebForms, ~200-400 fiches. Liste : `https://www.gitesauquebec.com/Resultats.aspx?sp=0` (pagination par postback — regarde s'il y a un paramètre GET équivalent ou augmente la taille de page ; sinon rejoue le postback __VIEWSTATE en POST).\n\nDémarche : inspecte les pages réelles avec curl avant de coder ; cherche JSON embarqué/JSON-LD d'abord ; extrais un max de champs ; external_id stable ; `self.detail()` pour les requêtes par fiche ; délais polis. TESTE chaque connecteur (script inline `.venv/bin/python`, ≥5 StListing valides, `.finalize()` ok, fetch limité pour le test). Si une source s'avère inextractible ou sans inventaire pertinent, abandonne-la proprement (pas de fichier) et explique. Rapport par source : volume réel, champs couverts, méthode. Max 400 mots.","uuid":"69e521a0-1b67-4b8e-a26d-5722c482db58","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: abcd421169deb75ed (internal ID - do not mention to user. Use SendMessage with to: 'abcd421169deb75ed' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/abcd421169deb75ed.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c3fa58a3-a719-4d9f-99f1-678a5cb27d3d","timestamp":"2026-08-25T15:28:55.048Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"abcd421169deb75ed","description":"Connecteurs CT vague 2 (segments nouveaux)","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 3 NOUVEAUX connecteurs court terme pour Lou-Ka, couvrant des segments quasi absents (pourvoiries, camping/prêt-à-camper, gîtes).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type parmi PROPERTY_TYPES — utilise « Prêt-à-camper », « Camping », « Gîte », « Chalet », « Refuge » selon le cas —, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles à imiter : `sepaq.py`, `hipcamp.py`, `glampinghub.py` (en-têtes français, style sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json` (l'orchestrateur s'en charge). NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 3 nouveaux fichiers.\n\nLes 3 sources (vérifiées vivantes aujourd'hui) :\n1. **pourvoiries.com** (`source_id=\"pourvoiries\"`) — Fédération des pourvoiries du Québec, TYPO3, 344 établissements avec hébergement (chalets, camps). Sitemaps : `https://www.pourvoiries.com/sitemap/outfitters/sitemap.xml` (+ `/packages/` pour les forfaits avec prix). Les fiches établissement ont région, description, souvent coordonnées et prix de forfaits — privilégie un prix/nuit d'hébergement quand il existe, sinon price_label du forfait le plus bas.\n2. **campingquebec.com** (`source_id=\"campingquebec\"`) — Camping Québec, ~700 campings, recherche `https://www.campingquebec.com/fr/trouver-un-camping` avec payload JSON embarqué à extraire. Ne retiens que les établissements offrant du **prêt-à-camper/hébergement locatif** (unités : tentes aménagées, chalets, yourtes) si le JSON le précise — un camping « emplacements seulement » n'est pas un hébergement court terme pour Lou-Ka. Si la distinction est impossible côté liste, va chercher les fiches (self.detail).\n3. **gitesauquebec.com** (`source_id=\"gitesauquebec\"`) — annuaire de gîtes/auberges, ASP.NET WebForms, ~200-400 fiches. Liste : `https://www.gitesauquebec.com/Resultats.aspx?sp=0` (pagination par postback — regarde s'il y a un paramètre GET équivalent ou augmente la taille de page ; sinon rejoue le postback __VIEWSTATE en POST).\n\nDémarche : inspecte les pages réelles avec curl avant de coder ; cherche JSON embarqué/JSON-LD d'abord ; extrais un max de champs ; external_id stable ; `self.detail()` pour les requêtes par fiche ; délais polis. TESTE chaque connecteur (script inline `.venv/bin/python`, ≥5 StListing valides, `.finalize()` ok, fetch limité pour le test). Si une source s'avère inextractible ou sans inventaire pertinent, abandonne-la proprement (pas de fichier) et explique. Rapport par source : volume réel, champs couverts, méthode. Max 400 mots.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/abcd421169deb75ed.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Inspect Vrbo location/overview/section groups","usage":{"total_tokens":80662,"tool_uses":37,"duration_ms":376775},"last_tool_name":"Bash","uuid":"45f880c3-ace7-43dc-8e16-8b787fc7ecea","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"abcd421169deb75ed","tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":22443,"tool_uses":1,"duration_ms":4562},"last_tool_name":"Read","uuid":"268eafec-47b9-42df-a932-d87d6445a52e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Running Fetch hebergement-charlevoix sitemap sample","usage":{"total_tokens":45087,"tool_uses":9,"duration_ms":23631},"last_tool_name":"Bash","uuid":"46ced15e-f994-4e9e-8e19-06d008cfbd5d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Running Fetch chaleto.ca sitemap sample and count","usage":{"total_tokens":45082,"tool_uses":8,"duration_ms":21510},"last_tool_name":"Bash","uuid":"1c61a2c3-f07c-492b-93bc-b83eb9d59155","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"add58e9bd17b3b370","tool_use_id":"toolu_015wCXaeSBgMYzFo2Jya4CCi","description":"Running Extract Vrbo aboutThisProperty description","usage":{"total_tokens":81368,"tool_uses":38,"duration_ms":382841},"last_tool_name":"Bash","uuid":"94c22657-6946-4133-a165-7d47ac24c0e8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_updated","task_id":"ac3267241e740b9ef","patch":{"status":"completed","end_time":1787671746430},"uuid":"242880fb-68a1-4eb0-9914-2b29f038ec5e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"abcd421169deb75ed","tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":22452,"tool_uses":2,"duration_ms":6380},"last_tool_name":"Read","uuid":"5fdb642a-c8e6-40f5-9b42-6a712e7a7edf","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Running Fetch memoriachalets sitemap sample","usage":{"total_tokens":45097,"tool_uses":11,"duration_ms":25655},"last_tool_name":"Bash","uuid":"44fb7d09-be88-4635-a45f-3ad0fdc35b78","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"abcd421169deb75ed","tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","description":"Reading louka/shortterm/connectors/sepaq.py","usage":{"total_tokens":28584,"tool_uses":3,"duration_ms":11429},"last_tool_name":"Read","uuid":"73c7ed74-6eb7-4867-937c-dc99967f3c81","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"abcd421169deb75ed","tool_use_id":"toolu_01J3iXBcDiCGdcNMmKmvyuza","description":"Reading louka/shortterm/connectors/glampinghub.py","usage":{"total_tokens":28592,"tool_uses":4,"duration_ms":11817},"last_tool_name":"Read","uuid":"19f26bb9-7b93-4de2-b731-239fea989a57","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"acde830e206f8fc9e","tool_use_id":"toolu_014UHs5ern25nyfwBgk36uGJ","description":"Running Fetch chaletsalpins sitemap sample","usage":{"total_tokens":45092,"tool_uses":10,"duration_ms":25040},"last_tool_name":"Bash","uuid":"bbe91ce3-1293-4d7c-9789-bf8e0a5e6370","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bly6f04ro","tool_use_id":"toolu_014CCq6psXMWQXgX5ievCotG","description":"Fetch chaletsalpins sitemap sample","task_type":"local_bash","uuid":"9e9f5fbb-703d-432d-912d-98d00b7c634a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bly6f04ro","tool_use_id":"toolu_014CCq6psXMWQXgX5ievCotG","status":"completed","output_file":"","summary":"Fetch chaletsalpins sitemap sample","uuid":"22d51114-ed16-4137-b09e-d6d6e7b349dc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjgSt2HzesKj41Bwij","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015a5Jsf8grYyqnWzvcryMW3","name":"Agent","input":{"description":"Connecteurs CT vague 3 (Guesty/Hostaway/Îles)","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 5 NOUVEAUX connecteurs court terme pour Lou-Ka (agences québécoises sur moteurs Guesty/Hostaway + Îles-de-la-Madeleine).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles : `wechalet.py`, `chaletsarabais.py` (en-têtes français, sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json`. NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 5 nouveaux fichiers.\n\nLes 5 sources (vérifiées vivantes aujourd'hui) :\n1. **hebergia.ca** (`source_id=\"hebergia\"`) — WordPress + Guesty, ~60-124 fiches multi-régions. Sitemap : `https://hebergia.ca/chalets-sitemap.xml` → `/chalets//`.\n2. **reserver.ca / rezerve.ca** (`source_id=\"rezerve\"`) — Rëzerve, Charlevoix + Estrie, ~50-100 propriétés. reserver.ca est un Next.js alimenté par l'API Guesty côté client (`reserver.ca/chalet-a-louer/`) — cherche le `__NEXT_DATA__` ou l'appel API Guesty (booking engine `https://booking.guesty.com/api/...`) dans le réseau de la page.\n3. **accestremblant.ca** (`source_id=\"accestremblant\"`) — WP Avada + Guesty, 35 fiches Mont-Tremblant. Sitemap : `https://accestremblant.ca/avada_portfolio-sitemap.xml`.\n4. **leschaletsdanslenord.com** (`source_id=\"chaletsdanslenord\"`) — WP + widget Hostaway (~20-40 chalets Laurentides), sitemap vide : l'API Hostaway est repérable dans le JS de la homepage (cherche `hostaway` / clé publique / listings JSON).\n5. **alouerauxiles.com** (`source_id=\"alouerauxiles\"`) — À louer aux Îles, ~100 fiches Îles-de-la-Madeleine (région très mal couverte), site statique HTML, sitemap `https://www.alouerauxiles.com/sitemap.xml` (129 URLs, pages par île listant plusieurs annonces chacune — external_id stable à construire depuis l'ancre/slug de chaque annonce).\n\nAstuce transversale : les moteurs **Guesty** exposent souvent un JSON complet (prix/nuit, capacité, chambres, lits, sdb, commodités, photos, lat/lng) soit dans le HTML WP synchronisé, soit via l'API booking-engine avec l'ID de listing — vise ça plutôt que le parsing HTML. Pour **Hostaway**, l'API publique `https://api.hostaway.com` ou le widget renvoie du JSON similaire.\n\nDémarche : inspecter 2-3 fiches réelles avant de coder ; external_id stable ; `self.detail()` pour les requêtes par fiche ; délais polis. TESTE chaque connecteur (script inline `.venv/bin/python`, ≥5 StListing valides, `.finalize()` ok). Si une source est inextractible, abandonne proprement et explique. Rapport par source : volume, champs couverts, méthode. Max 450 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":300,"cache_read_input_tokens":119962,"cache_creation":{"ephemeral_5m_input_tokens":300,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"aa2f4e5a-3e82-4237-a94f-3acd98cef023"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"aa577a38198823f3a","tool_use_id":"toolu_015a5Jsf8grYyqnWzvcryMW3","description":"Connecteurs CT vague 3 (Guesty/Hostaway/Îles)","task_type":"local_agent","prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE 5 NOUVEAUX connecteurs court terme pour Lou-Ka (agences québécoises sur moteurs Guesty/Hostaway + Îles-de-la-Madeleine).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles : `wechalet.py`, `chaletsarabais.py` (en-têtes français, sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json`. NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 5 nouveaux fichiers.\n\nLes 5 sources (vérifiées vivantes aujourd'hui) :\n1. **hebergia.ca** (`source_id=\"hebergia\"`) — WordPress + Guesty, ~60-124 fiches multi-régions. Sitemap : `https://hebergia.ca/chalets-sitemap.xml` → `/chalets//`.\n2. **reserver.ca / rezerve.ca** (`source_id=\"rezerve\"`) — Rëzerve, Charlevoix + Estrie, ~50-100 propriétés. reserver.ca est un Next.js alimenté par l'API Guesty côté client (`reserver.ca/chalet-a-louer/`) — cherche le `__NEXT_DATA__` ou l'appel API Guesty (booking engine `https://booking.guesty.com/api/...`) dans le réseau de la page.\n3. **accestremblant.ca** (`source_id=\"accestremblant\"`) — WP Avada + Guesty, 35 fiches Mont-Tremblant. Sitemap : `https://accestremblant.ca/avada_portfolio-sitemap.xml`.\n4. **leschaletsdanslenord.com** (`source_id=\"chaletsdanslenord\"`) — WP + widget Hostaway (~20-40 chalets Laurentides), sitemap vide : l'API Hostaway est repérable dans le JS de la homepage (cherche `hostaway` / clé publique / listings JSON).\n5. **alouerauxiles.com** (`source_id=\"alouerauxiles\"`) — À louer aux Îles, ~100 fiches Îles-de-la-Madeleine (région très mal couverte), site statique HTML, sitemap `https://www.alouerauxiles.com/sitemap.xml` (129 URLs, pages par île listant plusieurs annonces chacune — external_id stable à construire depuis l'ancre/slug de chaque annonce).\n\nAstuce transversale : les moteurs **Guesty** exposent souvent un JSON complet (prix/nuit, capacité, chambres, lits, sdb, commodités, photos, lat/lng) soit dans le HTML WP synchronisé, soit via l'API booking-engine avec l'ID de listing — vise ça plutôt que le parsing HTML. Pour **Hostaway**, l'API publique `https://api.hostaway.com` ou le widget renvoie du JSON similaire.\n\nDémarche : inspecter 2-3 fiches réelles avant de coder ; external_id stable ; `self.detail()` pour les requêtes par fiche ; délais polis. TESTE chaque connecteur (script inline `.venv/bin/python`, ≥5 StListing valides, `.finalize()` ok). Si une source est inextractible, abandonne proprement et explique. Rapport par source : volume, champs couverts, méthode. Max 450 mots.","uuid":"b04fe202-3200-47a5-a468-47e415f80a0c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015a5Jsf8grYyqnWzvcryMW3","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: aa577a38198823f3a (internal ID - do not mention to user. Use SendMessage with to: 'aa577a38198823f3a' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/aa577a38198823f3a.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. 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Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()` (Firecrawl), `self.scrapfly()`, `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles : `wechalet.py`, `chaletsarabais.py` (en-têtes français, sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json`. NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes 5 nouveaux fichiers.\n\nLes 5 sources (vérifiées vivantes aujourd'hui) :\n1. **hebergia.ca** (`source_id=\"hebergia\"`) — WordPress + Guesty, ~60-124 fiches multi-régions. Sitemap : `https://hebergia.ca/chalets-sitemap.xml` → `/chalets//`.\n2. **reserver.ca / rezerve.ca** (`source_id=\"rezerve\"`) — Rëzerve, Charlevoix + Estrie, ~50-100 propriétés. reserver.ca est un Next.js alimenté par l'API Guesty côté client (`reserver.ca/chalet-a-louer/`) — cherche le `__NEXT_DATA__` ou l'appel API Guesty (booking engine `https://booking.guesty.com/api/...`) dans le réseau de la page.\n3. **accestremblant.ca** (`source_id=\"accestremblant\"`) — WP Avada + Guesty, 35 fiches Mont-Tremblant. Sitemap : `https://accestremblant.ca/avada_portfolio-sitemap.xml`.\n4. **leschaletsdanslenord.com** (`source_id=\"chaletsdanslenord\"`) — WP + widget Hostaway (~20-40 chalets Laurentides), sitemap vide : l'API Hostaway est repérable dans le JS de la homepage (cherche `hostaway` / clé publique / listings JSON).\n5. **alouerauxiles.com** (`source_id=\"alouerauxiles\"`) — À louer aux Îles, ~100 fiches Îles-de-la-Madeleine (région très mal couverte), site statique HTML, sitemap `https://www.alouerauxiles.com/sitemap.xml` (129 URLs, pages par île listant plusieurs annonces chacune — external_id stable à construire depuis l'ancre/slug de chaque annonce).\n\nAstuce transversale : les moteurs **Guesty** exposent souvent un JSON complet (prix/nuit, capacité, chambres, lits, sdb, commodités, photos, lat/lng) soit dans le HTML WP synchronisé, soit via l'API booking-engine avec l'ID de listing — vise ça plutôt que le parsing HTML. 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePhjgSt2HzesKj41Bwij","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011Y2nEgYGAXUr8bwWwoLzPg","name":"Agent","input":{"description":"Connecteurs CT vague 4 (Tremblant + petits régionaux)","run_in_background":true,"prompt":"Repo /Users/simon-pierreboucher/apps/lou-ka (nœud M3U96b). Tu dois ÉCRIRE jusqu'à 9 PETITS connecteurs court terme pour Lou-Ka (Tremblant + agences régionales à petit inventaire mais fiches riches).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type — « Chalet », « Condo », « Dôme », « Mini-maison »… —, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly(url)` (anti-bot fort), `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles : `tremblantliving.py`, `corporatestays.py` (en-têtes français, sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json`. NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes nouveaux fichiers.\n\nLes 9 sources (état vérifié aujourd'hui) :\n1. **lesversants.com** (`source_id=\"lesversants\"`) — Les Versants Mont-Tremblant, ~30-60 fiches, WP Elementor : `https://www.lesversants.com/fr/services/louer-proprietes-tremblant/` + sitemap.\n2. **captremblant.com** (`source_id=\"captremblant\"`) — Cap Tremblant, 14 types de résidences (multi-unités) : `/residences/…` via sitemap.\n3. **rvmt.com** (`source_id=\"rvmt\"`) — Rendez-vous Mont-Tremblant, ~100 condos, **429 systématique en direct → passe par self.scrapfly()** : `https://www.rvmt.com/fr/condos-mont-tremblant`.\n4. **locationdechalets.com** (`source_id=\"locationdechalets\"`) — Location de Chalets 4 Saisons, Laurentides, 11 fiches, sitemap → `/fr/chalets//`.\n5. **chaletsbsl.com** (`source_id=\"chaletsbsl\"`) — Chalets BSL, Bas-Saint-Laurent, ~10 fiches, sitemaps `sitemap_sections_*.xml`.\n6. **panoraloges.ca** (`source_id=\"panoraloges\"`) — Panora Loges, Gaspésie, ~10 loges, Squarespace : `/fr/loges` (Squarespace expose souvent `?format=json`).\n7. **domesstcome.com** (`source_id=\"domesstcome\"`) — Dômes St-Côme, Lanaudière, ~10 dômes (glamping), site simple + sitemap.\n8. **boraboreal.com** (`source_id=\"boraboreal\"`) — Bora Boréal, Portneuf/Québec, ~10 chalets flottants : `/chalet-flottant-quebec`.\n9. **homminichalets.com** (`source_id=\"homminichalets\"`) — HOM Mini-chalets, Outaouais, ~10-20, **429 en direct → self.scrapfly()**.\n\nDémarche : inspecte les pages réelles avant de coder (JSON-LD/JSON embarqué d'abord) ; external_id stable ; extrais un max (prix/nuit ou « à partir de », capacité, chambres, description, commodités, images, ville, région, CITQ) ; délais polis. Petits inventaires : les fiches doivent être RICHES (c'est leur valeur). Si une source est inextractible ou vide, saute-la et explique (pas de fichier). TESTE chaque connecteur écrit (script inline `.venv/bin/python`, ≥3 StListing valides vu les petits volumes, `.finalize()` ok). Rapport par source : implémenté/abandonné, volume, champs, méthode. 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Tu dois ÉCRIRE jusqu'à 9 PETITS connecteurs court terme pour Lou-Ka (Tremblant + agences régionales à petit inventaire mais fiches riches).\n\nContexte technique : connecteurs dans `louka/shortterm/connectors/` (un fichier par source, découverte auto par introspection). Contrat : classe héritant de `StConnector` (`louka/shortterm/connectors/base.py`) avec `source_id` et `fetch() -> list[StListing]`. Schéma : `louka/shortterm/schema.py` (StListing : source, external_id, url, title, property_type — « Chalet », « Condo », « Dôme », « Mini-maison »… —, address, city, region touristique, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities, details, images, lat, lng). `finalize()` normalise (le pipeline l'appelle). Backends : `self.get()` (escalade anti-bot auto), `self.get_rendered()`, `self.scrapfly(url)` (anti-bot fort), `self.detail(external_id, key, fetch_fn)` = cache détail. Modèles : `tremblantliving.py`, `corporatestays.py` (en-têtes français, sobre).\n\n⚠️ NE MODIFIE PAS `data/sources_ct.json`. NE LANCE PAS `run.py sync-ct`. Ne touche à AUCUN fichier existant : uniquement tes nouveaux fichiers.\n\nLes 9 sources (état vérifié aujourd'hui) :\n1. **lesversants.com** (`source_id=\"lesversants\"`) — Les Versants Mont-Tremblant, ~30-60 fiches, WP Elementor : `https://www.lesversants.com/fr/services/louer-proprietes-tremblant/` + sitemap.\n2. **captremblant.com** (`source_id=\"captremblant\"`) — Cap Tremblant, 14 types de résidences (multi-unités) : `/residences/…` via sitemap.\n3. **rvmt.com** (`source_id=\"rvmt\"`) — Rendez-vous Mont-Tremblant, ~100 condos, **429 systématique en direct → passe par self.scrapfly()** : `https://www.rvmt.com/fr/condos-mont-tremblant`.\n4. **locationdechalets.com** (`source_id=\"locationdechalets\"`) — Location de Chalets 4 Saisons, Laurentides, 11 fiches, sitemap → `/fr/chalets//`.\n5. **chaletsbsl.com** (`source_id=\"chaletsbsl\"`) — Chalets BSL, Bas-Saint-Laurent, ~10 fiches, sitemaps `sitemap_sections_*.xml`.\n6. **panoraloges.ca** (`source_id=\"panoraloges\"`) — Panora Loges, Gaspésie, ~10 loges, Squarespace : `/fr/loges` (Squarespace expose souvent `?format=json`).\n7. **domesstcome.com** (`source_id=\"domesstcome\"`) — Dômes St-Côme, Lanaudière, ~10 dômes (glamping), site simple + sitemap.\n8. **boraboreal.com** (`source_id=\"boraboreal\"`) — Bora Boréal, Portneuf/Québec, ~10 chalets flottants : `/chalet-flottant-quebec`.\n9. **homminichalets.com** (`source_id=\"homminichalets\"`) — HOM Mini-chalets, Outaouais, ~10-20, **429 en direct → self.scrapfly()**.\n\nDémarche : inspecte les pages réelles avant de coder (JSON-LD/JSON embarqué d'abord) ; external_id stable ; extrais un max (prix/nuit ou « à partir de », capacité, chambres, description, commodités, images, ville, région, CITQ) ; délais polis. 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Ne touche à AUCUN fichier existant : uniquement tes nouveaux fichiers.\n\nLes 9 sources (état vérifié aujourd'hui) :\n1. **lesversants.com** (`source_id=\"lesversants\"`) — Les Versants Mont-Tremblant, ~30-60 fiches, WP Elementor : `https://www.lesversants.com/fr/services/louer-proprietes-tremblant/` + sitemap.\n2. **captremblant.com** (`source_id=\"captremblant\"`) — Cap Tremblant, 14 types de résidences (multi-unités) : `/residences/…` via sitemap.\n3. **rvmt.com** (`source_id=\"rvmt\"`) — Rendez-vous Mont-Tremblant, ~100 condos, **429 systématique en direct → passe par self.scrapfly()** : `https://www.rvmt.com/fr/condos-mont-tremblant`.\n4. **locationdechalets.com** (`source_id=\"locationdechalets\"`) — Location de Chalets 4 Saisons, Laurentides, 11 fiches, sitemap → `/fr/chalets//`.\n5. **chaletsbsl.com** (`source_id=\"chaletsbsl\"`) — Chalets BSL, Bas-Saint-Laurent, ~10 fiches, sitemaps `sitemap_sections_*.xml`.\n6. **panoraloges.ca** (`source_id=\"panoraloges\"`) — Panora Loges, Gaspésie, ~10 loges, Squarespace : `/fr/loges` (Squarespace expose souvent `?format=json`).\n7. **domesstcome.com** (`source_id=\"domesstcome\"`) — Dômes St-Côme, Lanaudière, ~10 dômes (glamping), site simple + sitemap.\n8. **boraboreal.com** (`source_id=\"boraboreal\"`) — Bora Boréal, Portneuf/Québec, ~10 chalets flottants : `/chalet-flottant-quebec`.\n9. **homminichalets.com** (`source_id=\"homminichalets\"`) — HOM Mini-chalets, Outaouais, ~10-20, **429 en direct → self.scrapfly()**.\n\nDémarche : inspecte les pages réelles avant de coder (JSON-LD/JSON embarqué d'abord) ; external_id stable ; extrais un max (prix/nuit ou « à partir de », capacité, chambres, description, commodités, images, ville, région, CITQ) ; délais polis. 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePjh221CGThi8kR8Rkjn","type":"message","role":"assistant","content":[{"type":"text","text":"Pas de canal pour relancer cet agent — je validerai ses 5 connecteurs directement lors des syncs initiaux. En attendant, sanity-check global : tous les connecteurs doivent s'importer proprement."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":391,"cache_read_input_tokens":141325,"cache_creation":{"ephemeral_5m_input_tokens":391,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cd802342-426a-473d-983b-beb8552481e7"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePjh221CGThi8kR8Rkjn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Q9SQKyew3HG7gqWt9VcxPm","name":"Bash","input":{"command":".venv/bin/python -c \"\nfrom louka.shortterm.connectors import ST_CONNECTORS\nprint(len(ST_CONNECTORS), 'connecteurs CT chargés')\nprint(sorted(ST_CONNECTORS))\"","description":"Vérifier chargement 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmnQgQ2gbzMP9Tj1wev","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmnQgQ2gbzMP9Tj1wev","type":"message","role":"assistant","content":[{"type":"text","text":"Les 10 agents ont tous livré — 21 nouveaux connecteurs écrits (dont rvmt en un seul appel Scrapfly, boraboreal via Lodgify, homminichalets via l'API Hostfully). Je mets à jour le registre `sources_ct.json`, puis je lance les syncs initiaux."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":147453,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":147453,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"537b6682-1c1b-4478-a8ec-0fe666c6436d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmnQgQ2gbzMP9Tj1wev","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N3tvxrLsdr7qQA8sFufBjn","name":"Bash","input":{"command":"python3 -c \"\nimport json\nd = json.load(open('data/sources_ct.json'))\nfor s in d['sources']:\n print(f\\\"{s['id']:22s} {s['category']:ormat18s}\\\" if False else f\\\"{s['id']:22s} {s['category']}\\\")\"","description":"Voir catégories des sources existantes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":147453,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":147453,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"864bc4d5-6ef2-4da8-bfd3-89281be2943d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N3tvxrLsdr7qQA8sFufBjn","type":"tool_result","content":"airbnb internationale\nbooking internationale\nvrbo internationale\nexpedia internationale\nagoda internationale\nplumguide internationale\nglampinghub internationale\nhipcamp internationale\nmarriott_hvmi internationale\nfurnishedfinder internationale\ncorporatestays internationale\nmonsieurchalets quebecoise\nwechalet quebecoise\nchaletsarabais quebecoise\nchaletsalouer quebecoise\nmcal quebecoise\nqldc quebecoise\nrsvpchalets quebecoise\nchaletsauquebec quebecoise\ntremblant_living agence\ngites_passant gites\nbonjourquebec officielle\nsepaq officielle\nparcscanada officielle\nsinistar relogement\nlouer_ca_ct relogement\nkijiji_ct petites-annonces\nlespac_ct petites-annonces\nfb_marketplace_ct petites-annonces\ncraigslist_ct petites-annonces\nbonjourresidences cas-particuliers","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2a91d8b9-f2dc-4494-b071-730ecac41d6b","timestamp":"2026-08-25T16:21:47.250Z","tool_use_result":{"stdout":"airbnb internationale\nbooking internationale\nvrbo internationale\nexpedia internationale\nagoda internationale\nplumguide internationale\nglampinghub internationale\nhipcamp internationale\nmarriott_hvmi internationale\nfurnishedfinder internationale\ncorporatestays internationale\nmonsieurchalets quebecoise\nwechalet quebecoise\nchaletsarabais quebecoise\nchaletsalouer quebecoise\nmcal quebecoise\nqldc quebecoise\nrsvpchalets quebecoise\nchaletsauquebec quebecoise\ntremblant_living agence\ngites_passant gites\nbonjourquebec officielle\nsepaq officielle\nparcscanada officielle\nsinistar relogement\nlouer_ca_ct relogement\nkijiji_ct petites-annonces\nlespac_ct petites-annonces\nfb_marketplace_ct petites-annonces\ncraigslist_ct petites-annonces\nbonjourresidences cas-particuliers","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9a117245-f4dc-41d2-9da9-56888ad4286e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmpbAVF3pXufwFL61er","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Uuk6injA5iPrZYMZM9zMGj","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport json\npath = 'data/sources_ct.json'\nd = json.load(open(path, encoding='utf-8'))\nhave = {s['id'] for s in d['sources']}\nnew = [\n # plateformes/annuaires québécois\n (\"chaleto\", \"Chaletô\", \"https://chaleto.ca\", \"quebecoise\"),\n (\"hebergia\", \"Hebergia\", \"https://hebergia.ca\", \"quebecoise\"),\n (\"rezerve\", \"Rëzerve\", \"https://reserver.ca\", \"quebecoise\"),\n (\"campingquebec\", \"Camping Québec\", \"https://www.campingquebec.com\", \"officielle\"),\n (\"pourvoiries\", \"Pourvoiries du Québec (FPQ)\", \"https://www.pourvoiries.com\", \"officielle\"),\n (\"gitesauquebec\", \"Gîtes au Québec\", \"https://www.gitesauquebec.com\", \"gites\"),\n # agences régionales\n (\"hebergementcharlevoix\", \"Hébergement Charlevoix\", \"https://www.hebergement-charlevoix.com\", \"agence\"),\n (\"chaletsalpins\", \"Les Chalets Alpins\", \"https://chaletsalpins.ca\", \"agence\"),\n (\"memoriachalets\", \"Memoria Chalets\", \"https://memoriachalets.com\", \"agence\"),\n (\"accestremblant\", \"Accès Tremblant\", \"https://accestremblant.ca\", \"agence\"),\n (\"chaletsdanslenord\", \"Les Chalets dans le Nord\", \"https://leschaletsdanslenord.com\", \"agence\"),\n (\"alouerauxiles\", \"À louer aux Îles\", \"https://www.alouerauxiles.com\", \"agence\"),\n (\"lesversants\", \"Les Versants Mont-Tremblant\", \"https://www.lesversants.com\", \"agence\"),\n (\"captremblant\", \"Cap Tremblant\", \"https://captremblant.com\", \"agence\"),\n (\"rvmt\", \"Rendez-vous Mont-Tremblant\", \"https://www.rvmt.com\", \"agence\"),\n (\"locationdechalets\", \"Location de Chalets 4 Saisons\", \"https://www.locationdechalets.com\", \"agence\"),\n (\"chaletsbsl\", \"Chalets BSL\", \"https://www.chaletsbsl.com\", \"agence\"),\n (\"panoraloges\", \"Panora Loges\", \"https://www.panoraloges.ca\", \"agence\"),\n (\"domesstcome\", \"Dômes St-Côme\", \"https://www.domesstcome.com\", \"agence\"),\n (\"boraboreal\", \"Bora Boréal\", \"https://www.boraboreal.com\", \"agence\"),\n (\"homminichalets\", \"HOM Mini-Chalets\", \"https://homminichalets.com\", \"agence\"),\n]\nadded = 0\nfor sid, name, url, cat in new:\n if sid in have:\n print('déjà présent :', sid); continue\n d['sources'].append({\"id\": sid, \"name\": name, \"url\": url, \"category\": cat})\n added += 1\njson.dump(d, open(path, 'w', encoding='utf-8'), ensure_ascii=False, indent=1)\nprint(f\"{added} sources ajoutées, total {len(d['sources'])}\")\nEOF\n.venv/bin/python -c \"\nimport json\nfrom louka.shortterm.connectors import ST_CONNECTORS\nreg = {s['id'] for s in json.load(open('data/sources_ct.json'))['sources']}\nprint('connecteurs sans entrée registre :', sorted(set(ST_CONNECTORS) - reg))\nprint('entrées registre sans connecteur :', sorted(reg - set(ST_CONNECTORS)))\"","description":"Ajouter 21 sources au registre et vérifier cohérence"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1953,"cache_read_input_tokens":147453,"cache_creation":{"ephemeral_5m_input_tokens":1953,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"be65e952-66c2-4f44-8bf6-f34c820fde55"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Uuk6injA5iPrZYMZM9zMGj","type":"tool_result","content":"21 sources ajoutées, total 52\nconnecteurs sans entrée registre : []\nentrées registre sans connecteur : ['agoda', 'bonjourresidences', 'craigslist_ct', 'fb_marketplace_ct', 'furnishedfinder', 'lespac_ct', 'louer_ca_ct', 'marriott_hvmi', 'plumguide']","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"17b9ed5c-b7a2-49c2-94a3-1445ea8b5af7","timestamp":"2026-08-25T16:22:03.053Z","tool_use_result":{"stdout":"21 sources ajoutées, total 52\nconnecteurs sans entrée registre : []\nentrées registre sans connecteur : ['agoda', 'bonjourresidences', 'craigslist_ct', 'fb_marketplace_ct', 'furnishedfinder', 'lespac_ct', 'louer_ca_ct', 'marriott_hvmi', 'plumguide']","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f04fc81a-6295-416d-bc35-fa409aaf1929","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmqkzrWmcXUsMVHyDpZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1476,"cache_read_input_tokens":149406,"cache_creation":{"ephemeral_5m_input_tokens":1476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ea7fbb10-babb-4cba-aaba-ce4c90185f4f"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmqkzrWmcXUsMVHyDpZ","type":"message","role":"assistant","content":[{"type":"text","text":"Registre cohérent (52 sources, les 9 sans connecteur sont des entrées catalogue préexistantes). Syncs de validation sur les petits connecteurs d'abord."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1476,"cache_read_input_tokens":149406,"cache_creation":{"ephemeral_5m_input_tokens":1476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"021dc70e-29a3-49df-9b15-ba9367d698ff"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePmqkzrWmcXUsMVHyDpZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017N3ayqhXn8kC89nWuJWocK","name":"Bash","input":{"command":".venv/bin/python run.py sync-ct chaletsbsl domesstcome captremblant locationdechalets panoraloges 2>&1 | tail -15","description":"Sync initial des 5 petits connecteurs","timeout":600000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1476,"cache_read_input_tokens":149406,"cache_creation":{"ephemeral_5m_input_tokens":1476,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"850d0cca-1d64-47d1-8387-b76be01e9436"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b7j3l4mq1","tool_use_id":"toolu_017N3ayqhXn8kC89nWuJWocK","description":"Sync initial des 5 petits connecteurs","task_type":"local_bash","uuid":"8f40d91f-67d1-429e-92a9-3b1f344ec1e6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b7j3l4mq1","tool_use_id":"toolu_017N3ayqhXn8kC89nWuJWocK","status":"completed","output_file":"","summary":"Sync initial des 5 petits connecteurs","uuid":"17d65918-e121-4d1e-be40-010860f6229f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017N3ayqhXn8kC89nWuJWocK","type":"tool_result","content":"[lou-ka/ct] sync chaletsbsl ...\n[lou-ka/ct] {'source': 'chaletsbsl', 'found': 4, 'added': 4, 'updated': 0, 'removed': 0, 'seconds': 12.0}\n[lou-ka/ct] sync domesstcome ...\n[lou-ka/ct] {'source': 'domesstcome', 'found': 4, 'added': 4, 'updated': 0, 'removed': 0, 'seconds': 6.2}\n[lou-ka/ct] sync captremblant ...\n[lou-ka/ct] {'source': 'captremblant', 'found': 7, 'added': 7, 'updated': 0, 'removed': 0, 'seconds': 7.6}\n[lou-ka/ct] sync locationdechalets ...\n[lou-ka/ct] {'source': 'locationdechalets', 'found': 10, 'added': 10, 'updated': 0, 'removed': 0, 'seconds': 18.9}\n[lou-ka/ct] sync panoraloges ...\n[lou-ka/ct] {'source': 'panoraloges', 'found': 2, 'added': 2, 'updated': 0, 'removed': 0, 'seconds': 1.8}","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8ec84462-1fba-4431-b28b-13deb380b89f","timestamp":"2026-08-25T16:22:58.810Z","tool_use_result":{"stdout":"[lou-ka/ct] sync chaletsbsl ...\n[lou-ka/ct] {'source': 'chaletsbsl', 'found': 4, 'added': 4, 'updated': 0, 'removed': 0, 'seconds': 12.0}\n[lou-ka/ct] sync domesstcome ...\n[lou-ka/ct] {'source': 'domesstcome', 'found': 4, 'added': 4, 'updated': 0, 'removed': 0, 'seconds': 6.2}\n[lou-ka/ct] sync captremblant ...\n[lou-ka/ct] {'source': 'captremblant', 'found': 7, 'added': 7, 'updated': 0, 'removed': 0, 'seconds': 7.6}\n[lou-ka/ct] sync locationdechalets ...\n[lou-ka/ct] {'source': 'locationdechalets', 'found': 10, 'added': 10, 'updated': 0, 'removed': 0, 'seconds': 18.9}\n[lou-ka/ct] sync panoraloges ...\n[lou-ka/ct] {'source': 'panoraloges', 'found': 2, 'added': 2, 'updated': 0, 'removed': 0, 'seconds': 1.8}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3f2a8940-b622-4364-8b26-7ecc159e4932","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bc7buwcmj","tool_use_id":"toolu_01HxD52HAwXAd3fSqgvmEToR","description":"Lancer la campagne complète de syncs CT en arrière-plan","task_type":"local_bash","uuid":"ba67fac6-465c-413c-b327-c378a407e403","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HxD52HAwXAd3fSqgvmEToR","type":"tool_result","content":"Command running in background with ID: bc7buwcmj. 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Je mets en place une surveillance qui me notifiera à la fin."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":423,"cache_read_input_tokens":156986,"cache_creation":{"ephemeral_5m_input_tokens":423,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"71c529e1-bbfd-4aa4-96b3-0c6ec4d43750"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePn19jqUkZbqyW8sAbxJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KiAXpRKE1jiksMHr4ATqZz","name":"ToolSearch","input":{"query":"select:Monitor","max_results":1},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":423,"cache_read_input_tokens":156986,"cache_creation":{"ephemeral_5m_input_tokens":423,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"be43be70-c895-495d-b4af-8efc7cb00308"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","tool_use_id":"toolu_01KiAXpRKE1jiksMHr4ATqZz","content":[{"type":"tool_reference","tool_name":"Monitor"}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6def0aeb-ab08-43aa-88e2-7f87ab085a14","timestamp":"2026-08-25T16:24:25.349Z","tool_use_result":{"matches":["Monitor"],"query":"select:Monitor","total_deferred_tools":17}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3e75d7fb-ca47-4c9f-a60b-4e2c59574e94","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePn2FXsVv1CbbBuv7U7B","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2614,"cache_read_input_tokens":157409,"cache_creation":{"ephemeral_5m_input_tokens":2614,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8957291a-dc27-421f-8a38-03a15e2063b3"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePn2FXsVv1CbbBuv7U7B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EpPYThaRg53Q3HEsUuJ5ED","name":"Monitor","input":{"command":"tail -n +1 -f /tmp/louka-ct-campagne.log | grep -E --line-buffered \"\\{'source'|Traceback|Error|ERREUR|error|exception|KO \" &\nTAILPID=$!\nuntil ! pgrep -f \"run.py sync-ct chaleto\" >/dev/null; do sleep 20; done\nsleep 2\nkill $TAILPID 2>/dev/null\necho \"CAMPAGNE TERMINÉE — dernières lignes :\"\ntail -5 /tmp/louka-ct-campagne.log","description":"Campagne syncs CT (28 sources) — résultats par source et erreurs","persistent":true,"timeout_ms":3600000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2614,"cache_read_input_tokens":157409,"cache_creation":{"ephemeral_5m_input_tokens":2614,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5714d2fb-2f6e-4bd3-a427-95c562c03cc6"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b2q6lgv6o","tool_use_id":"toolu_01EpPYThaRg53Q3HEsUuJ5ED","description":"Campagne syncs CT (28 sources) — résultats par source et erreurs","task_type":"local_bash","uuid":"0259b06e-9c97-4151-806a-7a333b7b0c3b","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EpPYThaRg53Q3HEsUuJ5ED","type":"tool_result","content":"Monitor started (task b2q6lgv6o, persistent — runs until TaskStop or session end). You will be notified on each event. Keep working — do not poll or sleep. Events may arrive while you are waiting for the user — an event is not their reply."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c5e3377e-612f-49b1-bc26-6a765ed6a7fd","timestamp":"2026-08-25T16:24:33.616Z","tool_use_result":{"taskId":"b2q6lgv6o","timeoutMs":0,"persistent":true}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ddd00b69-f47f-45c5-b49a-a508e7547703","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePn2ramYErxS5qA7bHdy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":499,"cache_read_input_tokens":160023,"cache_creation":{"ephemeral_5m_input_tokens":499,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"85ac947c-a1d2-43bc-bcde-6b844ab76d7c"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CePn2ramYErxS5qA7bHdy","type":"message","role":"assistant","content":[{"type":"text","text":"La surveillance est en place — chaque source terminée me notifiera. 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01W3ZamRvCzhyHKvhTnnMQwH","type":"tool_result","content":"1\t# Index mémoire — lou-ka\n2\t\n3\t- [Pertinence des annonces Lou-Ka](feedback_pertinence.md) — seulement des logements au mois ; hors sujet → quarantaine via `relevance_reason()` dans quality.py\n4\t- [Historique TAL par adresse](project_tal.md) — décisions SOQUIJ croisées aux annonces ; gotchas anti-bot, backfill 60/h, pas de noms affichés\n5\t- [Routine enrichissement post-campagne](project_enrichissement.md) — ordre des run.py, venv obligatoire, miroirs Overpass, gotchas imgaudit/TAL\n6\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"addf1e47-3943-4cb4-b9eb-91ed41cf7773","timestamp":"2026-08-25T16:25:04.679Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/MEMORY.md","content":"# Index 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ8RKyjXpUEHWtKaqEZK","type":"message","role":"assistant","content":[{"type":"text","text":"Je vérifie d'abord l'état de la campagne de syncs (votre question : non, elle n'a pas été coupée — elle tourne en arrière-plan détachée, je confirme où elle en est)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":164060,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":164060,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"66048653-ec40-4cfa-b663-98136a62ad79"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ8RKyjXpUEHWtKaqEZK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014qY5JYJLELY9p5QJzBFmif","name":"Bash","input":{"command":"pgrep -f \"run.py sync-ct chaleto\" >/dev/null && echo \"CAMPAGNE ENCORE EN COURS\" || echo \"campagne terminée\"\ngrep -c \"'source'\" /tmp/louka-ct-campagne.log\ntail -8 /tmp/louka-ct-campagne.log","description":"État de la campagne de syncs CT"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":164060,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":164060,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c358a3f6-2ce5-47a0-885a-108b9ff7280d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014qY5JYJLELY9p5QJzBFmif","type":"tool_result","content":"CAMPAGNE ENCORE EN COURS\n0\n[airbnb] cellule (46.16,-62.62)→(47.37,-59.76) saturée → subdivision (prof. 1, req 992/1200)\n[airbnb] cellule (46.76,-62.62)→(47.37,-61.19) : 26 nouvelles (total 12800, req 994/1200)\n[airbnb] cellule (48.58,-76.94)→(49.78,-74.08) : 1 nouvelles (total 12801, req 995/1200)\n[airbnb] cellule (44.95,-76.94)→(46.16,-74.08) saturée → subdivision (prof. 1, req 996/1200)\n[airbnb] cellule (45.55,-75.51)→(46.16,-74.08) saturée → subdivision (prof. 2, req 997/1200)\n[airbnb] cellule (45.86,-74.79)→(46.16,-74.08) saturée → subdivision (prof. 3, req 998/1200)\n[airbnb] cellule (46.01,-74.43)→(46.16,-74.08) saturée → subdivision (prof. 4, req 999/1200)\n[airbnb] cellule (46.08,-74.25)→(46.16,-74.08) : 68 nouvelles (total 12916, req 1004/1200)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"947231b6-d4ac-420d-b997-7b1935f756dd","timestamp":"2026-08-25T20:52:20.350Z","tool_use_result":{"stdout":"CAMPAGNE ENCORE EN COURS\n0\n[airbnb] cellule (46.16,-62.62)→(47.37,-59.76) saturée → subdivision (prof. 1, req 992/1200)\n[airbnb] cellule (46.76,-62.62)→(47.37,-61.19) : 26 nouvelles (total 12800, req 994/1200)\n[airbnb] cellule (48.58,-76.94)→(49.78,-74.08) : 1 nouvelles (total 12801, req 995/1200)\n[airbnb] cellule (44.95,-76.94)→(46.16,-74.08) saturée → subdivision (prof. 1, req 996/1200)\n[airbnb] cellule (45.55,-75.51)→(46.16,-74.08) saturée → subdivision (prof. 2, req 997/1200)\n[airbnb] cellule (45.86,-74.79)→(46.16,-74.08) saturée → subdivision (prof. 3, req 998/1200)\n[airbnb] cellule (46.01,-74.43)→(46.16,-74.08) saturée → subdivision (prof. 4, req 999/1200)\n[airbnb] cellule (46.08,-74.25)→(46.16,-74.08) : 68 nouvelles (total 12916, req 1004/1200)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2ac79e98-e82c-4cf8-893b-d21419e88a68","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ8TC6mrUQkwt5Zs9Ux6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RoHiwLposEiUuuL2K8mBCw","name":"Agent","input":{"description":"Inventaire hôtels QC réservation directe","run_in_background":true,"prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas de code) : cartographier l'hôtellerie du Québec réservable EN DIRECT (sites des hôtels eux-mêmes, pas les OTA), pour écrire ensuite des connecteurs court terme Lou-Ka (une fiche par hôtel, prix/nuit, photos, commodités).\n\nOutils dispo (clés dans l'env) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map/extract : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'`\n- curl direct pour vérifier chaque site.\n\nL'angle stratégique : plutôt que 1 200 connecteurs (un par hôtel), on veut couvrir un max d'hôtels avec peu de connecteurs, via :\n1. **Réseaux/collections d'hôtels québécois** avec annuaire central structuré : Hôtellerie Champêtre (hotelloriechampetre.com ?), Ôrigine artisans hôteliers (hotelsvillegia ? originehotels.com ?), autres regroupements (Hôtels & régions, spas Relais santé…). Pour chacun : URL, nb d'établissements, structure de l'annuaire (sitemap ? liste HTML ? fiches riches ?), les fiches ont-elles prix/photos/commodités ?\n2. **Groupes/chaînes québécoises** multi-hôtels avec site central : Groupe Germain (legermainhotels.com), Groupe Hôtelier Grand Château ?, Tidan, JARO (hotelsjaro.com), Groupe Dufour, Urgo ?, autres. Même questions.\n3. **Moteurs de réservation** dominants dans l'hôtellerie QC indépendante : Reservit (très présent au Québec), D-edge/Availpro, Mews, SiteMinder/TheBookingButton, WebHotelier, Amadeus iHotelier. Pour 5-10 hôtels indépendants pris au hasard (différentes régions), détecte le moteur (regarde le lien « Réserver » / les scripts). Y a-t-il un pattern exploitable (ex. URL reservit.com/hotelpage/ avec JSON de dispo/prix accessible) ? Documente le pattern Reservit en priorité avec 2-3 exemples réels vérifiés.\n4. **Grands hôtels indépendants emblématiques** (candidats à un connecteur dédié chacun) : liste ~20 (ex. Château Frontenac (Fairmont), Manoir Richelieu, Hôtel de Glace/Valcartier, Estérel Resort, Manoir Saint-Sauveur, Auberge Saint-Antoine, Monastère des Augustins, Entourage-sur-le-Lac, Ripplecove, Manoir Hovey, Spa Eastman…) avec pour chacun : URL directe, moteur de réservation détecté, richesse de la fiche (chambres/prix visibles sans tunnel de réservation ?).\n5. **Annuaire source d'inventaire** : la liste officielle des hôtels classifiés (CITQ / Bonjour Québec catégorie Hôtels) est-elle extractible pour servir de squelette (nom, ville, région, classification) qu'on enrichirait ensuite ?\n\nVérifie avec curl que chaque candidat clé répond (200 direct ou anti-bot ?). Rapport structuré : tableau par catégorie (réseau/groupe/moteur/indépendant) avec volume, structure, difficulté, URL d'entrée, et une recommandation d'ordre d'implémentation (quelles ~6-10 premières cibles couvrent le plus d'hôtels avec fiches riches). Max 1500 mots."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1928,"cache_read_input_tokens":164060,"cache_creation":{"ephemeral_5m_input_tokens":1928,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1e61f1dd-fd19-45ea-94c0-2dffae94e7eb"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a8902ac6d458c2a57","tool_use_id":"toolu_01RoHiwLposEiUuuL2K8mBCw","description":"Inventaire hôtels QC réservation directe","task_type":"local_agent","prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas de code) : cartographier l'hôtellerie du Québec réservable EN DIRECT (sites des hôtels eux-mêmes, pas les OTA), pour écrire ensuite des connecteurs court terme Lou-Ka (une fiche par hôtel, prix/nuit, photos, commodités).\n\nOutils dispo (clés dans l'env) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map/extract : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'`\n- curl direct pour vérifier chaque site.\n\nL'angle stratégique : plutôt que 1 200 connecteurs (un par hôtel), on veut couvrir un max d'hôtels avec peu de connecteurs, via :\n1. **Réseaux/collections d'hôtels québécois** avec annuaire central structuré : Hôtellerie Champêtre (hotelloriechampetre.com ?), Ôrigine artisans hôteliers (hotelsvillegia ? originehotels.com ?), autres regroupements (Hôtels & régions, spas Relais santé…). Pour chacun : URL, nb d'établissements, structure de l'annuaire (sitemap ? liste HTML ? fiches riches ?), les fiches ont-elles prix/photos/commodités ?\n2. **Groupes/chaînes québécoises** multi-hôtels avec site central : Groupe Germain (legermainhotels.com), Groupe Hôtelier Grand Château ?, Tidan, JARO (hotelsjaro.com), Groupe Dufour, Urgo ?, autres. Même questions.\n3. **Moteurs de réservation** dominants dans l'hôtellerie QC indépendante : Reservit (très présent au Québec), D-edge/Availpro, Mews, SiteMinder/TheBookingButton, WebHotelier, Amadeus iHotelier. Pour 5-10 hôtels indépendants pris au hasard (différentes régions), détecte le moteur (regarde le lien « Réserver » / les scripts). Y a-t-il un pattern exploitable (ex. URL reservit.com/hotelpage/ avec JSON de dispo/prix accessible) ? Documente le pattern Reservit en priorité avec 2-3 exemples réels vérifiés.\n4. **Grands hôtels indépendants emblématiques** (candidats à un connecteur dédié chacun) : liste ~20 (ex. Château Frontenac (Fairmont), Manoir Richelieu, Hôtel de Glace/Valcartier, Estérel Resort, Manoir Saint-Sauveur, Auberge Saint-Antoine, Monastère des Augustins, Entourage-sur-le-Lac, Ripplecove, Manoir Hovey, Spa Eastman…) avec pour chacun : URL directe, moteur de réservation détecté, richesse de la fiche (chambres/prix visibles sans tunnel de réservation ?).\n5. **Annuaire source d'inventaire** : la liste officielle des hôtels classifiés (CITQ / Bonjour Québec catégorie Hôtels) est-elle extractible pour servir de squelette (nom, ville, région, classification) qu'on enrichirait ensuite ?\n\nVérifie avec curl que chaque candidat clé répond (200 direct ou anti-bot ?). Rapport structuré : tableau par catégorie (réseau/groupe/moteur/indépendant) avec volume, structure, difficulté, URL d'entrée, et une recommandation d'ordre d'implémentation (quelles ~6-10 premières cibles couvrent le plus d'hôtels avec fiches riches). 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Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a8902ac6d458c2a57.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7cb74963-bed9-4ae5-814a-e996e13e4a6f","timestamp":"2026-08-25T20:53:19.230Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a8902ac6d458c2a57","description":"Inventaire hôtels QC réservation directe","prompt":"Tu es sur le nœud M3U96b, repo /Users/simon-pierreboucher/apps/lou-ka. Mission de RECHERCHE seulement (pas de code) : cartographier l'hôtellerie du Québec réservable EN DIRECT (sites des hôtels eux-mêmes, pas les OTA), pour écrire ensuite des connecteurs court terme Lou-Ka (une fiche par hôtel, prix/nuit, photos, commodités).\n\nOutils dispo (clés dans l'env) :\n- Serper : `curl -s -X POST https://google.serper.dev/search -H \"X-API-KEY: $SERPER_API_KEY\" -H \"Content-Type: application/json\" -d '{\"q\":\"...\",\"gl\":\"ca\",\"hl\":\"fr\",\"num\":20}'`\n- Tavily search/map/extract : `curl -s -X POST https://api.tavily.com/search -H \"Authorization: Bearer $TAVILY_API_KEY\" -H \"Content-Type: application/json\" -d '{\"query\":\"...\",\"max_results\":10}'`\n- curl direct pour vérifier chaque site.\n\nL'angle stratégique : plutôt que 1 200 connecteurs (un par hôtel), on veut couvrir un max d'hôtels avec peu de connecteurs, via :\n1. **Réseaux/collections d'hôtels québécois** avec annuaire central structuré : Hôtellerie Champêtre (hotelloriechampetre.com ?), Ôrigine artisans hôteliers (hotelsvillegia ? originehotels.com ?), autres regroupements (Hôtels & régions, spas Relais santé…). Pour chacun : URL, nb d'établissements, structure de l'annuaire (sitemap ? liste HTML ? fiches riches ?), les fiches ont-elles prix/photos/commodités ?\n2. **Groupes/chaînes québécoises** multi-hôtels avec site central : Groupe Germain (legermainhotels.com), Groupe Hôtelier Grand Château ?, Tidan, JARO (hotelsjaro.com), Groupe Dufour, Urgo ?, autres. Même questions.\n3. **Moteurs de réservation** dominants dans l'hôtellerie QC indépendante : Reservit (très présent au Québec), D-edge/Availpro, Mews, SiteMinder/TheBookingButton, WebHotelier, Amadeus iHotelier. Pour 5-10 hôtels indépendants pris au hasard (différentes régions), détecte le moteur (regarde le lien « Réserver » / les scripts). Y a-t-il un pattern exploitable (ex. URL reservit.com/hotelpage/ avec JSON de dispo/prix accessible) ? Documente le pattern Reservit en priorité avec 2-3 exemples réels vérifiés.\n4. **Grands hôtels indépendants emblématiques** (candidats à un connecteur dédié chacun) : liste ~20 (ex. Château Frontenac (Fairmont), Manoir Richelieu, Hôtel de Glace/Valcartier, Estérel Resort, Manoir Saint-Sauveur, Auberge Saint-Antoine, Monastère des Augustins, Entourage-sur-le-Lac, Ripplecove, Manoir Hovey, Spa Eastman…) avec pour chacun : URL directe, moteur de réservation détecté, richesse de la fiche (chambres/prix visibles sans tunnel de réservation ?).\n5. **Annuaire source d'inventaire** : la liste officielle des hôtels classifiés (CITQ / Bonjour Québec catégorie Hôtels) est-elle extractible pour servir de squelette (nom, ville, région, classification) qu'on enrichirait ensuite ?\n\nVérifie avec curl que chaque candidat clé répond (200 direct ou anti-bot ?). Rapport structuré : tableau par catégorie (réseau/groupe/moteur/indépendant) avec volume, structure, difficulté, URL d'entrée, et une recommandation d'ordre d'implémentation (quelles ~6-10 premières cibles couvrent le plus d'hôtels avec fiches riches). 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hotels","uuid":"a2e2fa38-8503-4561-9304-90ebc5cd0d67","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"compact_boundary","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"010e85cd-e8fb-4d33-a588-c1b667203151","compact_metadata":{"trigger":"auto","pre_tokens":170649,"post_tokens":9839,"duration_ms":99740}}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation.\n\nSummary:\n1. Primary Request and Intent:\n - **Message 1 (French)**: Perform a major upgrade of Lou-Ka (Québec rental listings site at /Users/simon-pierreboucher/apps/lou-ka): (a) add new connectors to the \"location court terme\" (short-term rental) subsystem, (b) enrich existing connectors — user emphasized \"ça doit être un immense travail du côté court terme\" (huge work on the short-term side), (c) improve the rendering of the fiches (detail pages).\n - **Message 2 (French)**: Also add hotels in the province of Québec from direct hotel sites (\"à partir du site de hôtel direct avec un connecteur par hôtel\" — one connector per hotel), and asked whether their message interrupted the last task and whether it was finished (\"Ça coupé la dernière tâche mais c'était fini right ?\"). I answered: campaign still running (detached), and pushed back on 1-connector-per-hotel (~1,200 hotels unmaintainable), proposing instead connectors per network/hotel-group/booking-engine + dedicated connectors for flagship independents — user has not yet responded to this proposal but I proceeded with discovery.\n\n2. Key Technical Concepts:\n - Lou-Ka CT subsystem: `louka/shortterm/` (connectors auto-discovered by introspection of StConnector subclasses with non-empty `source_id`; no code registry).\n - `StListing` dataclass (`louka/shortterm/schema.py`): source, external_id, url, title, property_type (canonical PROPERTY_TYPES), address, city, region (touristique canonique via normalize_region), price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat/lng. `finalize()` derives price from label (semaine/7; mois→None), spa/pool/waterfront/wifi/fireplace/ev_charger flags, pets, CITQ regex, QC geo bounds (44.5-63, -80/-56), rating/10→/5.\n - `StConnector` base: `self.get()` (anti-bot escalation Oxylabs→Scrapfly→Bright Data), `get_rendered()` (Firecrawl), `scrapfly()`, `self.detail(external_id, key, fetch_fn)` = TTL detail cache in louka_ct.db.\n - Detail-enrichment budget pattern: env vars `LOUKA__DETAIL_LIMIT` (airbnb 800/run ≈19 syncs, booking 150, vrbo/expedia 100, glampinghub 250); cache hits free; failures NOT cached (retried); circuit breakers on consecutive failures.\n - `data/sources_ct.json` registry (52 sources; categories: internationale, quebecoise, agence, officielle, gites, relogement, petites-annonces, cas-particuliers).\n - CT API: FastAPI router `/api/ct/*` in `louka/shortterm/web.py`; frontend React 18/TS/Vite/Mapbox, PM2 apps lou-ka-web (port 8095), lou-ka-sync (`run.py watch 60`), lou-ka-ngrok.\n - **Critical discovery**: `run.py sync-ct src1 src2...` processes sources ALPHABETICALLY, not in argument order (airbnb runs first).\n - SQLite WAL + `PRAGMA busy_timeout=30000` (shortterm/db.py:88) protects concurrent syncs.\n - Anti-bot wins: Airbnb PDP `data-deferred-state-0` payload via Bright Data no-JS; Streamline API via admin-ajax.php query-string (POST blocked, GET passes); Vrbo/Expedia same engine → Apollo `__APOLLO_STATE__` via Scrapfly ASP no-JS; rvmt `__NUXT_DATA__` (devalue) in 1 Scrapfly call; Hostfully JSONP public API.\n - Verified dead-ends (do not retry): sinistar has NO prices/ratings (Algolia, public Firestore, React Flight all inspected); bonjourquebec never publishes capacity; tripadvisor vacation rentals closed 2024-11; sonder liquidated; blueground/chaletsdirect no QC inventory; chaletsquebec.com DNS dead.\n\n3. Files and Code Sections:\n - **`louka/shortterm/web.py`** (modified by me): added `import math`, `_percentile(sorted_vals, q)`, `_haversine_km()`, and `@router.get(\"/listings/{uid}/context\")` → `ct_listing_context(uid)`. Price analysis: segment cascade `[(type+capacity±2+region), (type+region), (region)]` requiring ≥12 comparables; returns `{segment, n, median, p25, p75, deviation, verdict(\"sous\"≤-0.15 / \"dans\"<0.12 / \"dessus\"), percentile, histogram}` (12 bins between p5-p95). Similar: bbox `dlat=0.45`, `dlng=dlat/max(0.2,cos(lat))`, haversine ≤50km, same-property_type first, 8 max with `distance_km`; fallback same region(+type) `ORDER BY rating IS NULL, rating DESC, first_seen DESC LIMIT 8`. Returns `{\"price\": price_block, \"similar\": similar}`.\n - **`frontend/src/ctapi.ts`** (modified): added `CtPriceContext` interface (segment, n, median, p25, p75, deviation, verdict: \"sous\"|\"dans\"|\"dessus\"|null, percentile, histogram), `CtContext` (`price: CtPriceContext|null; similar: (CtListing & {distance_km?: number})[]`), and `export const fetchCtContext = (uid) => get(\\`/api/ct/listings/${encodeURIComponent(uid)}/context\\`)`.\n - **`frontend/src/components/CtPriceAnalysis.tsx`** (created): exports `ctDealBadge(p)` → `{cls: \"deal-good\"|\"deal-high\"|\"deal-ok\", txt}` (e.g. \"≈ X % sous le prix médian du segment\") and default `CtPriceAnalysis({p, price})` — section `.f-bloc .f-fairvalue #analyse-prix` with median /nuit, interquartile range, SVG `Histo` (reuses `fv-histo`/`fv-histo-lbl`/`fv-histo-axis` CSS classes, median dashed marker, \"Ce prix\" marker), fv-meta (segment, n comparables, \"Moins cher que {100-percentile} % du segment\"), disclaimer fine print.\n - **`frontend/src/pages/CourtTermeFiche.tsx`** (modified): imports CtContext/fetchCtContext/CtListingCard/CtPriceAnalysis/ctDealBadge; `ctx` state fetched in useEffect (`setCtx(null)` on uid change); deal badge IIFE in hero above rating badge; `` in second `.f-col` before the map; full-width `
` after `.fiche` div with title \"Hébergements similaires à proximité\" (or \"— {region}\") and `.grid` of `CtListingCard`.\n - **`frontend/src/styles.css`**: added `.f-similaires { margin-top: 22px; }` and `.f-similaires .grid { margin-top: 4px; }` after `.f-foot`.\n - **`data/sources_ct.json`**: 21 entries appended via Python script (chaleto/hebergia/rezerve quebecoise; campingquebec/pourvoiries officielle; gitesauquebec gites; 15 agences incl. hebergementcharlevoix, chaletsalpins, memoriachalets, accestremblant, chaletsdanslenord, alouerauxiles, lesversants, captremblant, rvmt, locationdechalets, chaletsbsl, panoraloges, domesstcome, boraboreal, homminichalets). Total 52.\n - **Agent-modified connectors** (16): airbnb.py (457→639 lines, `_pdp_html`/`_parse_pdp`/`_apply_pdp`/`_enrich_details`, `_DetailSkip` sentinel), booking.py, vrbo.py, expedia.py (+ new shared `_expediadetail.py`), glampinghub.py, tremblantliving.py, bonjourquebec.py, gitespassant.py, sinistar.py (doc only), sepaq.py (ETAB_EDITO 34 slugs + ETAB_COORDS), qldc.py, kijiji.py, parcscanada.py.\n - **Agent-created connectors** (21 new files in `louka/shortterm/connectors/`): chaleto.py, hebergementcharlevoix.py, chaletsalpins.py, memoriachalets.py, pourvoiries.py, campingquebec.py, gitesauquebec.py, hebergia.py, rezerve.py, accestremblant.py, chaletsdanslenord.py, alouerauxiles.py, lesversants.py, captremblant.py, rvmt.py, locationdechalets.py, chaletsbsl.py, panoraloges.py, domesstcome.py, boraboreal.py, homminichalets.py.\n - **Deleted** (stub agent, commit b23e2a0): chaletsdirect.py, chaletsquebec.py, locationschalets.py, hebergementquebec.py, tripadvisor.py, sonder.py, blueground.py + their sources_ct.json entries.\n - **Memory**: created `~/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/memory/project_courtterme.md` (campaign summary, budgets, dead-ends, anti-bot gotchas); added index line to MEMORY.md.\n\n4. Errors and fixes:\n - `data/sources_ct.json` FileNotFoundError: I was still in `frontend/` after a `cd` — fixed with `cd /Users/simon-pierreboucher/apps/lou-ka`.\n - MEMORY.md Edit rejected (\"File has not been read yet\") — Read it first, then Edit succeeded.\n - Wave-3 agent (hebergia/rezerve/accestremblant/chaletsdanslenord/alouerauxiles) ended with truncated report (\"En attente de la fin du run complet (86 pages détail)\"); SendMessage tool unavailable (ToolSearch returned nothing) — decided to validate those 5 connectors via the real initial syncs instead; all 5 files exist and all 36 connectors import cleanly.\n - `nohup ... &` inside a `run_in_background` Bash returned instantly (background task \"completed\" while python continued detached) — set up a persistent Monitor (task b2q6lgv6o) tailing `/tmp/louka-ct-campagne.log` for `{'source'` result lines/errors, ending when `pgrep -f \"run.py sync-ct chaleto\"` fails.\n - Sync order surprise: sources process alphabetically (airbnb FIRST despite being last argument) — accepted, just longer before other results.\n - Agent-reported bug fixes: vrbo slug truncation (redirected to Italy pages), qldc \"prix du voisin\" cross-card price bug, chaletsalpins double-render after `` polluting parsers, pourvoiries « séjour » contains « jour » price-term trap.\n\n5. Problem Solving:\n - Orchestrated 11 background agents total (1 CT discovery, 4 enrichment batches, 1 stubs, 4 new-connector waves, 1 hotels discovery) with strict rules: no edits to sources_ct.json (contention), no `run.py sync-ct`, sample tests only, French comment style.\n - Fiche CT upgraded and verified end-to-end: endpoint tested in-process, vite build clean, pm2 restart, Playwright desktop (analyse-prix present, 8 similar cards, hero badge \"≈ 28 % au-dessus du prix médian\") + mobile screenshots read and verified.\n - Committed/pushed bc6aef3 (41 files, +5841/−109) before long syncs since data/*.db are git-ignored; smoke-synced 5 small connectors first (27 listings added).\n - Hotels request: reframed 1-connector-per-hotel into per-network/engine/chain + flagship-independents strategy; discovery agent launched.\n\n6. All user messages:\n - \"J'aimerais que tu fasse un majeur upgrade en ajoute des connecteur à Louka , location court terme tu que effectué enrichissent des connecteur existant ça doit être un immense travail du côté court terme avec aussi amélioration. Du rendu des fiche\"\n - \"Peux tu aussi ajouté les hôtel dans la province de Québec à partir du site de hôtel direct avec un connecteur par hôtel Ça couper la dernière tache mais c'était fini right ?\"\n - (Several system task-notifications from background agents — not user input.)\n\n7. Pending Tasks:\n - **Sync campaign monitoring** (todo 9, in_progress): 28-source campaign running detached (log `/tmp/louka-ct-campagne.log`, Monitor task b2q6lgv6o notifies per-source results); fix any failing connector hot, follow-up commit if fixes needed.\n - **Hotels QC**: discovery agent a8902ac6d458c2a57 running (inventory of networks — Hôtellerie Champêtre, Ôrigine; chains — Germain, JARO; booking engines — Reservit priority, D-edge, Mews; ~20 flagship independents; CITQ skeleton). Then implement hotel connectors in waves, likely add \"Hôtel\" to PROPERTY_TYPES in schema.py, add registry entries, sync, commit.\n - **Final bilan** (todo 10): before/after field coverage per source, healthcheck, possibly rebuild/restart, report to user.\n\n8. Current Work:\n Immediately before this summary: answered the user's second message. Confirmed the sync campaign was NOT interrupted (\"CAMPAGNE ENCORE EN COURS\", airbnb processing first alphabetically: \"~12 900 annonces recensées, requête 1004/1200\", 0 source-summary lines yet in the log). Explained the hotels scaling tradeoff (\"un connecteur par hôtel ne passe pas à l'échelle... ~15-25 connecteurs au lieu de 1 200\") and launched the hotels discovery agent (a8902ac6d458c2a57, background) with detailed instructions covering: Québec hotel networks/collections, multi-hotel groups, booking-engine detection (Reservit pattern with 2-3 verified examples prioritized), ~20 flagship independent hotels with engine detection, CITQ/BonjourQuébec inventory extractability, and a recommended implementation order (max 1500 words report).\n\n9. Optional Next Step:\n Wait for the two active background processes and act on their outputs: (1) when Monitor b2q6lgv6o emits `{'source': ...}` lines from `/tmp/louka-ct-campagne.log`, check each new/enriched source's result, fix failures, and at campaign end produce the before/after coverage bilan (todo 10); (2) when hotels discovery agent a8902ac6d458c2a57 completes, dispatch implementation agents for hotel connectors per the strategy I stated to the user: \"des connecteurs par réseau/groupe/moteur de réservation directe... et pour les grands indépendants emblématiques, là oui, un connecteur dédié par hôtel. ... Je lance l'inventaire tout de suite.\" — including adding \"Hôtel\" to PROPERTY_TYPES, registry entries in sources_ct.json, initial syncs, commit/push.\n\nIf you need specific details from before compaction (like exact code snippets, error messages, or content you generated), read the full transcript at: /Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2.jsonl\nContinue the conversation from where it left off without asking the user any further questions. Resume directly — do not acknowledge the summary, do not recap what was happening, do not preface with \"I'll continue\" or similar. Pick up the last task as if the break never happened."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0d156d28-f747-42f4-9398-da5172103e0e","timestamp":"2026-08-25T20:54:58.999Z","isSynthetic":true}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ8esuxvz2zMKVR5BeUV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0121tuitLWJ4JTkFJKvwWpU4","name":"Bash","input":{"command":"tail -30 /tmp/louka-ct-campagne.log; echo \"---\"; pgrep -f \"run.py sync-ct\" >/dev/null && echo \"SYNC EN COURS\" || echo \"SYNC TERMINÉ\"","description":"Check campaign sync 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12703, req 972/1200)\n[airbnb] cellule (46.16,-73.90)→(46.23,-73.72) : 36 nouvelles (total 12739, req 975/1200)\n[airbnb] cellule (46.16,-74.08)→(46.23,-73.90) : 6 nouvelles (total 12745, req 976/1200)\n[airbnb] cellule (46.16,-79.80)→(47.37,-76.94) saturée → subdivision (prof. 1, req 977/1200)\n[airbnb] cellule (46.76,-79.80)→(47.37,-78.37) : 15 nouvelles (total 12764, req 981/1200)\n[airbnb] cellule (46.16,-78.37)→(46.76,-76.94) : 9 nouvelles (total 12773, req 982/1200)\n[airbnb] cellule (46.16,-79.80)→(46.76,-78.37) saturée → subdivision (prof. 2, req 983/1200)\n[airbnb] cellule (46.46,-79.08)→(46.76,-78.37) : 1 nouvelles (total 12774, req 984/1200)\n[airbnb] cellule (46.46,-79.80)→(46.76,-79.08) : 0 nouvelles (total 12774, req 985/1200)\n[airbnb] cellule (46.16,-79.08)→(46.46,-78.37) : 0 nouvelles (total 12774, req 989/1200)\n[airbnb] cellule (46.16,-62.62)→(47.37,-59.76) saturée → subdivision (prof. 1, req 992/1200)\n[airbnb] cellule (46.76,-62.62)→(47.37,-61.19) : 26 nouvelles (total 12800, req 994/1200)\n[airbnb] cellule (48.58,-76.94)→(49.78,-74.08) : 1 nouvelles (total 12801, req 995/1200)\n[airbnb] cellule (44.95,-76.94)→(46.16,-74.08) saturée → subdivision (prof. 1, req 996/1200)\n[airbnb] cellule (45.55,-75.51)→(46.16,-74.08) saturée → subdivision (prof. 2, req 997/1200)\n[airbnb] cellule (45.86,-74.79)→(46.16,-74.08) saturée → subdivision (prof. 3, req 998/1200)\n[airbnb] cellule (46.01,-74.43)→(46.16,-74.08) saturée → subdivision (prof. 4, req 999/1200)\n[airbnb] cellule (46.08,-74.25)→(46.16,-74.08) : 68 nouvelles (total 12916, req 1004/1200)\n[airbnb] cellule (46.08,-74.43)→(46.16,-74.25) : 74 nouvelles (total 12990, req 1009/1200)\n[airbnb] cellule (46.01,-74.25)→(46.08,-74.08) : 106 nouvelles (total 13096, req 1016/1200)\n[airbnb] cellule (46.01,-74.43)→(46.08,-74.25) : 29 nouvelles (total 13125, req 1018/1200)\n[airbnb] cellule (46.01,-74.79)→(46.16,-74.43) saturée → subdivision (prof. 4, req 1019/1200)\n[airbnb] cellule (46.08,-74.61)→(46.16,-74.43) saturée → subdivision (prof. 5, req 1020/1200)\n[airbnb] cellule (46.12,-74.52)→(46.16,-74.43) : 18 nouvelles (total 13168, req 1022/1200)\n[airbnb] cellule (46.12,-74.61)→(46.16,-74.52) : 130 nouvelles (total 13298, req 1030/1200)\n[airbnb] cellule (46.08,-74.52)→(46.12,-74.43) : 83 nouvelles (total 13381, req 1036/1200)\n[airbnb] cellule (46.08,-74.61)→(46.12,-74.52) : 17 nouvelles (total 13398, req 1038/1200)\n---\nSYNC EN COURS","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3317968c-2d76-4709-8d09-1d1e1a013c82","timestamp":"2026-08-25T20:55:03.782Z","tool_use_result":{"stdout":"[airbnb] cellule (46.27,-73.90)→(46.31,-73.81) : 107 nouvelles (total 12582, req 961/1200)\n[airbnb] cellule (46.23,-73.81)→(46.27,-73.72) : 30 nouvelles (total 12612, req 964/1200)\n[airbnb] cellule (46.23,-73.90)→(46.27,-73.81) : 85 nouvelles (total 12697, req 971/1200)\n[airbnb] cellule (46.23,-74.08)→(46.31,-73.90) : 6 nouvelles (total 12703, req 972/1200)\n[airbnb] cellule (46.16,-73.90)→(46.23,-73.72) : 36 nouvelles (total 12739, req 975/1200)\n[airbnb] cellule (46.16,-74.08)→(46.23,-73.90) : 6 nouvelles (total 12745, req 976/1200)\n[airbnb] cellule (46.16,-79.80)→(47.37,-76.94) saturée → subdivision (prof. 1, req 977/1200)\n[airbnb] cellule (46.76,-79.80)→(47.37,-78.37) : 15 nouvelles (total 12764, req 981/1200)\n[airbnb] cellule (46.16,-78.37)→(46.76,-76.94) : 9 nouvelles (total 12773, req 982/1200)\n[airbnb] cellule (46.16,-79.80)→(46.76,-78.37) saturée → subdivision (prof. 2, req 983/1200)\n[airbnb] cellule (46.46,-79.08)→(46.76,-78.37) : 1 nouvelles (total 12774, req 984/1200)\n[airbnb] cellule (46.46,-79.80)→(46.76,-79.08) : 0 nouvelles (total 12774, req 985/1200)\n[airbnb] cellule (46.16,-79.08)→(46.46,-78.37) : 0 nouvelles (total 12774, req 989/1200)\n[airbnb] cellule (46.16,-62.62)→(47.37,-59.76) saturée → subdivision (prof. 1, req 992/1200)\n[airbnb] cellule (46.76,-62.62)→(47.37,-61.19) : 26 nouvelles (total 12800, req 994/1200)\n[airbnb] cellule (48.58,-76.94)→(49.78,-74.08) : 1 nouvelles (total 12801, req 995/1200)\n[airbnb] cellule (44.95,-76.94)→(46.16,-74.08) saturée → subdivision (prof. 1, req 996/1200)\n[airbnb] cellule (45.55,-75.51)→(46.16,-74.08) saturée → subdivision (prof. 2, req 997/1200)\n[airbnb] cellule (45.86,-74.79)→(46.16,-74.08) saturée → subdivision (prof. 3, req 998/1200)\n[airbnb] cellule (46.01,-74.43)→(46.16,-74.08) saturée → subdivision (prof. 4, req 999/1200)\n[airbnb] cellule (46.08,-74.25)→(46.16,-74.08) : 68 nouvelles (total 12916, req 1004/1200)\n[airbnb] cellule (46.08,-74.43)→(46.16,-74.25) : 74 nouvelles (total 12990, req 1009/1200)\n[airbnb] cellule (46.01,-74.25)→(46.08,-74.08) : 106 nouvelles (total 13096, req 1016/1200)\n[airbnb] cellule (46.01,-74.43)→(46.08,-74.25) : 29 nouvelles (total 13125, req 1018/1200)\n[airbnb] cellule (46.01,-74.79)→(46.16,-74.43) saturée → subdivision (prof. 4, req 1019/1200)\n[airbnb] cellule (46.08,-74.61)→(46.16,-74.43) saturée → subdivision (prof. 5, req 1020/1200)\n[airbnb] cellule (46.12,-74.52)→(46.16,-74.43) : 18 nouvelles (total 13168, req 1022/1200)\n[airbnb] cellule (46.12,-74.61)→(46.16,-74.52) : 130 nouvelles (total 13298, req 1030/1200)\n[airbnb] cellule (46.08,-74.52)→(46.12,-74.43) : 83 nouvelles (total 13381, req 1036/1200)\n[airbnb] cellule (46.08,-74.61)→(46.12,-74.52) : 17 nouvelles (total 13398, req 1038/1200)\n---\nSYNC EN COURS","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"39dd2088-8f73-4e27-8545-0a5730759874","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ8fEDMT5cbipHMHntPP","type":"message","role":"assistant","content":[{"type":"text","text":"La campagne suit son cours : Airbnb est toujours en phase de recensement géographique (13 400 annonces découvertes, requête 1038/1200 — presque au bout du budget de cartographie, la phase d'enrichissement des pages détail suivra). 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Q8WzoYWMEyNhFaCz3","type":"message","role":"assistant","content":[{"type":"text","text":"L'inventaire hôtels est arrivé — et il contient une trouvaille majeure : le dataset officiel SIT Québec (1 910 hôtels en JSON, avec CITQ, géoloc, capacité, site web). Je vérifie d'abord le schéma et le registre avant de lancer l'implémentation."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":39900,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":39900,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9b561d01-8e3b-432a-bffb-f31cd087ef90"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Q8WzoYWMEyNhFaCz3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SsXBCbdxYbDvQNrLYKHosH","name":"Grep","input":{"pattern":"PROPERTY_TYPES|property_type","path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/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":39900,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":39900,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e99b5695-6461-414e-91d2-a27575841980"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SsXBCbdxYbDvQNrLYKHosH","type":"tool_result","content":"19-from ..normalize import strip_accents\n20-\n21-# Types canoniques d'hébergement (affichage + filtre)\n22:PROPERTY_TYPES = [\n23- \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n24- \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n25- \"Refuge\", \"Camping\", \"Autre\",\n--\n123- external_id: str # identifiant chez la source\n124- url: str # page de l'annonce chez la source\n125- title: str = \"\"\n126: property_type: str = \"\" # voir PROPERTY_TYPES\n127- address: str = \"\"\n128- city: str = \"\" # municipalité (ex. Saint-Sauveur)\n129- region: str = \"\" # région touristique (ex. Laurentides)\n--\n159- self.address = _html.unescape(self.address or \"\").strip()\n160- self.city = _html.unescape(self.city or \"\").strip()\n161- self.region = normalize_region(self.region)\n162: if self.property_type:\n163: pt = self.property_type.strip().capitalize()\n164: canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n165: self.property_type = canon.get(strip_accents(pt).lower(), pt)\n166-\n167- if self.price_night is None:\n168- self.price_night = parse_price_night(self.price_label)"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f55dd827-cdf3-4ee4-9c73-650fd66f2ebc","timestamp":"2026-08-25T21:05:09.354Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"19-from ..normalize import strip_accents\n20-\n21-# Types canoniques d'hébergement (affichage + filtre)\n22:PROPERTY_TYPES = [\n23- \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n24- \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n25- \"Refuge\", \"Camping\", \"Autre\",\n--\n123- external_id: str # identifiant chez la source\n124- url: str # page de l'annonce chez la source\n125- title: str = \"\"\n126: property_type: str = \"\" # voir PROPERTY_TYPES\n127- address: str = \"\"\n128- city: str = \"\" # municipalité (ex. Saint-Sauveur)\n129- region: str = \"\" # région touristique (ex. Laurentides)\n--\n159- self.address = _html.unescape(self.address or \"\").strip()\n160- self.city = _html.unescape(self.city or \"\").strip()\n161- self.region = normalize_region(self.region)\n162: if self.property_type:\n163: pt = self.property_type.strip().capitalize()\n164: canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n165: self.property_type = canon.get(strip_accents(pt).lower(), pt)\n166-\n167- if self.price_night is None:\n168- self.price_night = parse_price_night(self.price_label)","numLines":26}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Q8WzoYWMEyNhFaCz3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F5VkD55v4S2ha5auFJ3Roa","name":"Grep","input":{"pattern":"category","path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeSources.tsx","output_mode":"content","-n":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":39900,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":39900,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c5fd55df-9f48-45ac-93f7-855492db1c56"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Path does not exist: /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeSources.tsx. Note: your current working directory is /Users/simon-pierreboucher/apps/lou-ka.","is_error":true,"tool_use_id":"toolu_01F5VkD55v4S2ha5auFJ3Roa"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2650bf58-ff14-4e01-8a32-34045e954052","timestamp":"2026-08-25T21:05:10.164Z","tool_use_result":"Error: Path does not exist: /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeSources.tsx. Note: your current working directory is /Users/simon-pierreboucher/apps/lou-ka."}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f7fefda2-c7c1-4cf5-acc3-7af3560197c6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Rw217x29p55rx3aw2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019K75sBFDeWnqpxa1fGfHP7","name":"Grep","input":{"pattern":"category","path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src","output_mode":"content","-n":true,"head_limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2333,"cache_read_input_tokens":56121,"cache_creation":{"ephemeral_5m_input_tokens":2333,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7624f4fd-ba33-4892-886f-0ad7a9364f48"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019K75sBFDeWnqpxa1fGfHP7","type":"tool_result","content":"frontend/src/pages/Demenageurs.tsx:18: category: string;\nfrontend/src/pages/Demenageurs.tsx:177: {m.category && (\nfrontend/src/pages/Demenageurs.tsx:181: {m.category}\nfrontend/src/pages/Sources.tsx:127: {CT_CATEGORIES[s.category] ?? s.category}\nfrontend/src/ctapi.ts:67: category: string;"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0f98fb45-b235-468a-810b-41d27535e385","timestamp":"2026-08-25T21:05:13.928Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"frontend/src/pages/Demenageurs.tsx:18: category: string;\nfrontend/src/pages/Demenageurs.tsx:177: {m.category && (\nfrontend/src/pages/Demenageurs.tsx:181: {m.category}\nfrontend/src/pages/Sources.tsx:127: {CT_CATEGORIES[s.category] ?? s.category}\nfrontend/src/ctapi.ts:67: category: string;","numLines":5}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"05a1c474-d3ee-4430-9ee1-f39d3c4fe142","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9SDSj5DBTmXKooywSU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FRWSL1TBJRKjVrGxj4AmHE","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx","offset":80,"limit":70},"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":58454,"cache_creation":{"ephemeral_5m_input_tokens":327,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3894f436-72e8-4e20-b1cb-c34fd9bb1d14"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FRWSL1TBJRKjVrGxj4AmHE","type":"tool_result","content":"80\t ) : (\n81\t {s.status}\n82\t )}\n83\t \n84\t \n85\t {s.active_listings || \"—\"}\n86\t \n87\t \n88\t {s.last_sync\n89\t ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n90\t : \"—\"}\n91\t \n92\t \n93\t ))}\n94\t \n95\t \n96\t
\n97\t \n98\t )}\n99\t\n100\t {ctSources && ctSources.length > 0 && (\n101\t <>\n102\t

Location court terme — plateformes

\n103\t

\n104\t Plateformes de chalets, séjours et hébergements à la nuit couvrant le\n105\t Québec — {ctConnected} connecteurs actifs sur {ctSources.length}{\" \"}\n106\t sources recensées. Les sources fermées ou sans inventaire québécois\n107\t sont documentées.\n108\t

\n109\t
\n110\t \n111\t \n112\t \n113\t \n114\t \n115\t \n116\t \n117\t \n118\t \n119\t \n120\t \n121\t {ctSources.map((s) => (\n122\t \n123\t \n126\t \n129\t \n136\t \n139\t \n144\t \n145\t ))}\n146\t \n147\t
PlateformeCatégorieStatutHébergements actifsDernière synchro
\n124\t {s.name}\n125\t \n127\t {CT_CATEGORIES[s.category] ?? s.category}\n128\t \n130\t {s.connector ? (\n131\t connecté\n132\t ) : (\n133\t {s.status || \"en attente\"}\n134\t )}\n135\t \n137\t {s.active_listings || \"—\"}\n138\t \n140\t {s.last_sync\n141\t ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n142\t : \"—\"}\n143\t
\n148\t
\n149\t "}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f37d24ae-7a3b-494d-82f4-3b22aa97ab6b","timestamp":"2026-08-25T21:05:17.563Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx","content":" ) : (\n {s.status}\n )}\n \n \n {s.active_listings || \"—\"}\n \n \n {s.last_sync\n ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n : \"—\"}\n \n \n ))}\n \n \n
\n \n )}\n\n {ctSources && ctSources.length > 0 && (\n <>\n

Location court terme — plateformes

\n

\n Plateformes de chalets, séjours et hébergements à la nuit couvrant le\n Québec — {ctConnected} connecteurs actifs sur {ctSources.length}{\" \"}\n sources recensées. Les sources fermées ou sans inventaire québécois\n sont documentées.\n

\n
\n \n \n \n \n \n \n \n \n \n \n \n {ctSources.map((s) => (\n \n \n \n \n \n \n \n ))}\n \n
PlateformeCatégorieStatutHébergements actifsDernière synchro
\n {s.name}\n \n {CT_CATEGORIES[s.category] ?? s.category}\n \n {s.connector ? (\n connecté\n ) : (\n {s.status || \"en attente\"}\n )}\n \n {s.active_listings || \"—\"}\n \n {s.last_sync\n ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n : \"—\"}\n
\n
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(\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-131- connecté\nfrontend/src/pages/Sources.tsx-132- ) : (\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-133- {s.status || \"en attente\"}"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"13a2f5d2-072d-49e8-a276-ed60993af25b","timestamp":"2026-08-25T21:05:21.499Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-5-// (long terme) et plateformes de location court terme\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-6-// -----------------------------------------------------------------------------\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-7-import { useEffect, useState } from \"react\";\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-8-import { Source, fetchSources } from \"../api\";\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-9-import { CtSource, fetchCtSources } from \"../ctapi\";\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-10-\nfrontend/src/pages/Sources.tsx:11:const CT_CATEGORIES: Record = {\nfrontend/src/pages/Sources.tsx-12- internationale: \"Plateforme internationale\",\nfrontend/src/pages/Sources.tsx-13- quebecoise: \"Plateforme québécoise\",\nfrontend/src/pages/Sources.tsx-14- agence: \"Agence de location\",\nfrontend/src/pages/Sources.tsx-15- gites: \"Gîtes et auberges\",\nfrontend/src/pages/Sources.tsx-16- officielle: \"Source officielle\",\nfrontend/src/pages/Sources.tsx-17- relogement: \"Relogement\",\n--\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-121- {ctSources.map((s) => (\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-122- \n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-123- \n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-124- {s.name}\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-125- \nfrontend/src/pages/Sources.tsx-126- \nfrontend/src/pages/Sources.tsx:127: {CT_CATEGORIES[s.category] ?? s.category}\n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-128- \n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-129- \n/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx-130- {s.connector ? 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SLUGS : le sitemap Lodgify est vide → la page « louer-maison-flottante »\n# (rendue via Scrapfly, la grille est en JS) liste les 12 chalets\n# flottants ; les pages vitrines boraboreal.com (récupérées en direct)\n# ajoutent les unités hors grille (bora-bois-rond).\n# 2. DÉTAIL : chaque page unité Lodgify (Scrapfly sans render_js, cache\n# détail « v1 ») embarque un JSON-LD VacationRental complet :\n# identifier (external_id), priceRange « from 229 CAD/night »,\n# occupancy/chambres, amenityFeature, adresse, geo lat/lng, ~19 photos\n# icdbcdn ; le CITQ est extrait de la description (au-delà de la fenêtre\n# de 2000 caractères de finalize()). Animaux : frais au séjour\n# → pets = « conditions » si l'amenité l'indique.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport html as _html\nimport json\nimport re\nimport sys\n\nfrom ..schema import StListing\nfrom .airbnb import _region_from_latlng\nfrom .base import StConnector\n\nBOOKING = \"https://reserver-boraboreal.lodgify.com\"\nGRID = BOOKING + \"/fr/louer-maison-flottante\"\n\n# pages vitrines boraboreal.com (accessibles en direct) qui pointent vers des\n# unités Lodgify absentes de la grille\nSHOWCASE = [\n \"https://boraboreal.com/chalet-flottant-quebec\",\n \"https://boraboreal.com/mini-chalet-a-louer-estrie\",\n \"https://boraboreal.com/chalet-6-personnes-estrie\",\n]\n\n_TAG_RE = re.compile(r\"<[^>]+>\")\n\n_LD_RE = re.compile(r'(?s)]*type=\"application/ld\\+json\"[^>]*>'\n r\"(.*?)\")\n\n\ndef _strip_html(txt: str) -> str:\n txt = re.sub(r\"

||\", \"\\n\", txt or \"\")\n txt = _html.unescape(_TAG_RE.sub(\" \", txt))\n txt = re.sub(r\"[ \\t]+\", \" \", txt)\n return re.sub(r\"\\n\\s+\", \"\\n\", txt).strip()\n\n\nclass BoraBoreal(StConnector):\n source_id = \"boraboreal\"\n\n # -- découverte des slugs --------------------------------------------------\n def _slugs(self) -> list[str]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e8af980e-a1fb-4261-8b51-d8daffd9d8da","timestamp":"2026-08-25T21:05:54.505Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\nconnectors\ndb.py\ningest.py\nschema.py\nweb.py\n# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/boraboreal.py : Bora Boréal (boraboreal.com) — chalets FLOTTANTS\n# (minibora, boravilla) à Bury (Cantons-de-l'Est) et à Québec, plus un\n# chalet en bois rond ; ~13 unités réservables sur Lodgify\n# (reserver-boraboreal.lodgify.com, protégé Cloudflare → Scrapfly).\n#\n# Méthode :\n# 1. SLUGS : le sitemap Lodgify est vide → la page « louer-maison-flottante »\n# (rendue via Scrapfly, la grille est en JS) liste les 12 chalets\n# flottants ; les pages vitrines boraboreal.com (récupérées en direct)\n# ajoutent les unités hors grille (bora-bois-rond).\n# 2. DÉTAIL : chaque page unité Lodgify (Scrapfly sans render_js, cache\n# détail « v1 ») embarque un JSON-LD VacationRental complet :\n# identifier (external_id), priceRange « from 229 CAD/night »,\n# occupancy/chambres, amenityFeature, adresse, geo lat/lng, ~19 photos\n# icdbcdn ; le CITQ est extrait de la description (au-delà de la fenêtre\n# de 2000 caractères de finalize()). Animaux : frais au séjour\n# → pets = « conditions » si l'amenité l'indique.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport html as _html\nimport json\nimport re\nimport sys\n\nfrom ..schema import StListing\nfrom .airbnb import _region_from_latlng\nfrom .base import StConnector\n\nBOOKING = \"https://reserver-boraboreal.lodgify.com\"\nGRID = BOOKING + \"/fr/louer-maison-flottante\"\n\n# pages vitrines boraboreal.com (accessibles en direct) qui pointent vers des\n# unités Lodgify absentes de la grille\nSHOWCASE = [\n \"https://boraboreal.com/chalet-flottant-quebec\",\n \"https://boraboreal.com/mini-chalet-a-louer-estrie\",\n \"https://boraboreal.com/chalet-6-personnes-estrie\",\n]\n\n_TAG_RE = re.compile(r\"<[^>]+>\")\n\n_LD_RE = re.compile(r'(?s)]*type=\"application/ld\\+json\"[^>]*>'\n r\"(.*?)\")\n\n\ndef _strip_html(txt: str) -> str:\n txt = re.sub(r\"

||\", \"\\n\", txt or \"\")\n txt = _html.unescape(_TAG_RE.sub(\" \", txt))\n txt = re.sub(r\"[ \\t]+\", \" \", txt)\n return re.sub(r\"\\n\\s+\", \"\\n\", txt).strip()\n\n\nclass BoraBoreal(StConnector):\n source_id = \"boraboreal\"\n\n # -- découverte des slugs --------------------------------------------------\n def _slugs(self) -> list[str]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"76e6ca65-de2e-4e83-bc7d-a1ccceab06cf","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015SbuDwpvoUCi6K9q5UwLJe","type":"tool_result","content":"11\tconst CT_CATEGORIES: Record = {\n12\t internationale: \"Plateforme internationale\",\n13\t quebecoise: \"Plateforme québécoise\",\n14\t agence: \"Agence de location\",\n15\t gites: \"Gîtes et auberges\",\n16\t officielle: \"Source officielle\",\n17\t relogement: \"Relogement\",\n18\t \"petites-annonces\": \"Petites annonces\",\n19\t \"cas-particuliers\": \"Cas particulier\",\n20\t};\n21\t\n22\texport default function SourcesPage() {"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"efa32744-cbdc-4649-82fd-4988a70f3c8e","timestamp":"2026-08-25T21:06:00.182Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx","content":"const CT_CATEGORIES: Record = {\n internationale: \"Plateforme internationale\",\n quebecoise: \"Plateforme québécoise\",\n agence: \"Agence de location\",\n gites: \"Gîtes et auberges\",\n officielle: \"Source officielle\",\n relogement: \"Relogement\",\n \"petites-annonces\": \"Petites annonces\",\n \"cas-particuliers\": \"Cas particulier\",\n};\n\nexport default function SourcesPage() {","numLines":12,"startLine":11,"totalLines":154}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f4bb394e-262d-44eb-9930-38fa94ba3be0","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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campagne"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3487,"cache_read_input_tokens":65565,"cache_creation":{"ephemeral_5m_input_tokens":3487,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f1a42eee-94f4-4e75-a406-c92cce019131"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MNch8WQ6uANu7p2ooBjN7B","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d349084c-1113-4a87-8f28-eddfabc140c6","timestamp":"2026-08-25T21:06:10.542Z","tool_use_result":{"oldTodos":[{"content":"Auditer l'existant court terme (sources, couverture, stubs)","status":"completed","activeForm":"Auditant l'existant court terme"},{"content":"Découvrir de nouvelles sources CT québécoises","status":"completed","activeForm":"Découvrant de nouvelles sources CT"},{"content":"Implémenter/retirer les 7 connecteurs squelettes (7 supprimés)","status":"completed","activeForm":"Implémentant les connecteurs squelettes"},{"content":"Améliorer le rendu des fiches CT (analyse prix + similaires + badge)","status":"completed","activeForm":"Améliorant le rendu des fiches CT"},{"content":"Enrichir 12 connecteurs existants (airbnb, OTA, sepaq, qldc…)","status":"completed","activeForm":"Enrichissant les connecteurs existants"},{"content":"Écrire 21 nouveaux connecteurs","status":"completed","activeForm":"Écrivant les nouveaux connecteurs"},{"content":"Mettre à jour sources_ct.json (52 sources)","status":"completed","activeForm":"Mettant à jour sources_ct.json"},{"content":"Commit + push origin main (bc6aef3)","status":"completed","activeForm":"Committant et poussant"},{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Synchronisant les sources"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Faisant le bilan final"}],"newTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"in_progress","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"pending","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques reservit/mews (+ jaro, gouverneur si rentable)","status":"pending","activeForm":"Implémentation vague 2 hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a56d6b29-9424-419d-8556-47bac43a8a50","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9WP7zo2Ehb2oRHba8B","type":"message","role":"assistant","content":[{"type":"text","text":"Je fais les changements de base moi-même (fichiers sensibles à la contention), puis je lance les agents."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":69052,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"672f9894-6f79-4c07-990a-20b5eb9b7e08"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9WP7zo2Ehb2oRHba8B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NxhzSFcp2FSBWQh2Z3ND3S","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py","old_string":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",","new_string":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Hôtel\", \"Motel\", \"Dôme\", \"Yourte\", \"Mini-maison\",\n \"Prêt-à-camper\", \"Refuge\", \"Camping\", \"Autre\","},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":69052,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"19c246d5-6034-422e-8390-eb59ee6fb781"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"File has not been read yet. Read it first before writing to it.","is_error":true,"tool_use_id":"toolu_01NxhzSFcp2FSBWQh2Z3ND3S"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7f22076b-c93b-4fcc-8829-08f8bc5b9285","timestamp":"2026-08-25T21:06:17.162Z","tool_use_result":"Error: File has not been read yet. Read it first before writing to it."}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9WP7zo2Ehb2oRHba8B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TcKWzrVR8gpgTYVfGoi8nL","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx","old_string":" gites: \"Gîtes et auberges\",","new_string":" gites: \"Gîtes et auberges\",\n hotels: \"Hôtellerie\","},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":69052,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9f50e805-6424-40bb-b433-928c380f8f42"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TcKWzrVR8gpgTYVfGoi8nL","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0db4ef49-b530-4e8b-a39b-2460db71100b","timestamp":"2026-08-25T21:06:17.810Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Sources.tsx","oldString":" gites: \"Gîtes et auberges\",","newString":" gites: \"Gîtes et auberges\",\n hotels: \"Hôtellerie\",","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Sources.tsx : registre des sources agrégées — gestionnaires immobiliers\n// (long terme) et plateformes de location court terme\n// -----------------------------------------------------------------------------\nimport { useEffect, useState } from \"react\";\nimport { Source, fetchSources } from \"../api\";\nimport { CtSource, fetchCtSources } from \"../ctapi\";\n\nconst CT_CATEGORIES: Record = {\n internationale: \"Plateforme internationale\",\n quebecoise: \"Plateforme québécoise\",\n agence: \"Agence de location\",\n gites: \"Gîtes et auberges\",\n officielle: \"Source officielle\",\n relogement: \"Relogement\",\n \"petites-annonces\": \"Petites annonces\",\n \"cas-particuliers\": \"Cas particulier\",\n};\n\nexport default function SourcesPage() {\n const [sources, setSources] = useState(null);\n const [ctSources, setCtSources] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchSources()\n .then((r) => setSources(r.sources))\n .catch((e) => setError(String(e)));\n fetchCtSources()\n .then((r) => setCtSources(r.sources))\n .catch(() => setCtSources([]));\n }, []);\n\n const ctConnected = ctSources?.filter((s) => s.connector).length ?? 0;\n\n return (\n
\n Registre — sources agrégées\n

Sources agrégées

\n

\n Toutes les sources recensées par Lou-Ka : gestionnaires immobiliers\n (logements au mois) et plateformes de location court terme (chalets et\n hébergements à la nuit). Chaque source « connectée » est synchronisée\n périodiquement par un connecteur dédié.\n

\n\n {error &&
⚠️ {error}
}\n {!sources && !error &&
Chargement…
}\n\n {sources && (\n <>\n

Logements au mois — gestionnaires immobiliers

\n

\n Gestionnaires immobiliers de Québec, Lévis et du Grand Montréal; les\n sources sans connecteur sont en attente.\n

\n
\n \n \n \n \n \n \n \n \n \n \n \n {sources.map((s) => (\n \n \n \n \n \n \n \n ))}\n \n
GestionnaireSecteursStatutAnnonces activesDernière synchro
\n {s.name}\n {s.sectors}\n {s.connector ? (\n connecté\n ) : (\n {s.status}\n )}\n \n {s.active_listings || \"—\"}\n \n {s.last_sync\n ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n : \"—\"}\n
\n
\n \n )}\n\n {ctSources && ctSources.length > 0 && (\n <>\n

Location court terme — plateformes

\n

\n Plateformes de chalets, séjours et hébergements à la nuit couvrant le\n Québec — {ctConnected} connecteurs actifs sur {ctSources.length}{\" \"}\n sources recensées. Les sources fermées ou sans inventaire québécois\n sont documentées.\n

\n
\n \n \n \n \n \n \n \n \n \n \n \n {ctSources.map((s) => (\n \n \n \n \n \n \n \n ))}\n \n
PlateformeCatégorieStatutHébergements actifsDernière synchro
\n {s.name}\n \n {CT_CATEGORIES[s.category] ?? s.category}\n \n {s.connector ? (\n connecté\n ) : (\n {s.status || \"en attente\"}\n )}\n \n {s.active_listings || \"—\"}\n \n {s.last_sync\n ? new Date(s.last_sync * 1000).toLocaleString(\"fr-CA\")\n : \"—\"}\n
\n
\n \n )}\n
\n );\n}\n","structuredPatch":[{"oldStart":13,"oldLines":6,"newStart":13,"newLines":7,"lines":[" quebecoise: \"Plateforme québécoise\","," agence: \"Agence de location\","," gites: \"Gîtes et auberges\",","+ hotels: \"Hôtellerie\","," officielle: \"Source officielle\","," relogement: \"Relogement\","," \"petites-annonces\": \"Petites annonces\","]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"af4123c4-460f-4fc1-8930-8c363d9978ce","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Wv7KUuUYk79yGBmXC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018NdkWHof1g7cJuyTmxF5xf","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py","offset":18,"limit":12},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":738,"cache_read_input_tokens":69670,"cache_creation":{"ephemeral_5m_input_tokens":738,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3faacbe5-702a-40b1-b073-0ab3a650d30d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018NdkWHof1g7cJuyTmxF5xf","type":"tool_result","content":"18\t\n19\tfrom ..normalize import strip_accents\n20\t\n21\t# Types canoniques d'hébergement (affichage + filtre)\n22\tPROPERTY_TYPES = [\n23\t \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n24\t \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n25\t \"Refuge\", \"Camping\", \"Autre\",\n26\t]\n27\t\n28\t# Régions touristiques du Québec (canoniques)\n29\tREGIONS = ["}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"52850f6c-e412-4131-8281-42738e3fe209","timestamp":"2026-08-25T21:06:21.321Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py","content":"\nfrom ..normalize import strip_accents\n\n# Types canoniques d'hébergement (affichage + filtre)\nPROPERTY_TYPES = [\n \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",\n]\n\n# Régions touristiques du Québec (canoniques)\nREGIONS = [","numLines":12,"startLine":18,"totalLines":198}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a2978156-67f5-4300-aa6e-5f9753ac6677","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9XBLrhS5M6AZu6ZP4f","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01765H2ZiSB9qaPJ2NuStXhW","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py","old_string":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",","new_string":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Hôtel\", \"Motel\", \"Dôme\", \"Yourte\", \"Mini-maison\",\n \"Prêt-à-camper\", \"Refuge\", \"Camping\", \"Autre\","},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":339,"cache_read_input_tokens":70408,"cache_creation":{"ephemeral_5m_input_tokens":339,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e04e1be9-3be4-4b8c-b92c-91585aee182b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01765H2ZiSB9qaPJ2NuStXhW","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"707d25d8-d6b8-4a65-8ab2-d3de20b8b9ef","timestamp":"2026-08-25T21:06:26.849Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/schema.py","oldString":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",","newString":" \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Hôtel\", \"Motel\", \"Dôme\", \"Yourte\", \"Mini-maison\",\n \"Prêt-à-camper\", \"Refuge\", \"Camping\", \"Autre\",","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# schema.py : modèle standardisé d'un hébergement court terme (StListing)\n# -----------------------------------------------------------------------------\n\"\"\"Schéma standard d'un hébergement court terme.\n\nChaque connecteur court terme produit des objets `StListing`. `finalize()`\napplique la normalisation commune (prix à la nuit, région touristique,\ncommodités dérivées, bornes géographiques du Québec).\n\"\"\"\nfrom __future__ import annotations\n\nimport hashlib\nimport html as _html\nimport json\nimport re\nfrom dataclasses import dataclass, field, asdict\n\nfrom ..normalize import strip_accents\n\n# Types canoniques d'hébergement (affichage + filtre)\nPROPERTY_TYPES = [\n \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",\n \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",\n \"Refuge\", \"Camping\", \"Autre\",\n]\n\n# Régions touristiques du Québec (canoniques)\nREGIONS = [\n \"Abitibi-Témiscamingue\", \"Bas-Saint-Laurent\", \"Cantons-de-l'Est\",\n \"Centre-du-Québec\", \"Charlevoix\", \"Chaudière-Appalaches\", \"Côte-Nord\",\n \"Eeyou Istchee Baie-James\", \"Gaspésie\", \"Îles-de-la-Madeleine\",\n \"Lanaudière\", \"Laurentides\", \"Laval\", \"Mauricie\", \"Montérégie\",\n \"Montréal\", \"Nord-du-Québec\", \"Nunavik\", \"Outaouais\", \"Québec\",\n \"Saguenay–Lac-Saint-Jean\",\n]\n\n_REGION_KEYS = {strip_accents(r).lower().replace(\"–\", \"-\").replace(\"'\", \"\"): r\n for r in REGIONS}\n_REGION_ALIASES = {\n \"estrie\": \"Cantons-de-l'Est\",\n \"cantons de lest\": \"Cantons-de-l'Est\",\n \"saguenay\": \"Saguenay–Lac-Saint-Jean\",\n \"lac saint jean\": \"Saguenay–Lac-Saint-Jean\",\n \"lac-saint-jean\": \"Saguenay–Lac-Saint-Jean\",\n \"region de quebec\": \"Québec\",\n \"ville de quebec\": \"Québec\",\n \"capitale nationale\": \"Québec\",\n \"grand montreal\": \"Montréal\",\n \"iles de la madeleine\": \"Îles-de-la-Madeleine\",\n \"baie james\": \"Eeyou Istchee Baie-James\",\n}\n\n\ndef normalize_region(raw: str) -> str:\n \"\"\"Ramène un libellé de région libre vers la forme canonique (\"\" si inconnu).\"\"\"\n if not raw:\n return \"\"\n key = strip_accents(raw).lower().strip()\n key = re.sub(r\"[–—]\", \"-\", key).replace(\"'\", \"\").replace(\"’\", \"\")\n key = re.sub(r\"\\s+\", \" \", key)\n if key in _REGION_ALIASES:\n return _REGION_ALIASES[key]\n k2 = key.replace(\" \", \"-\")\n if k2 in _REGION_KEYS:\n return _REGION_KEYS[k2]\n if key in _REGION_KEYS:\n return _REGION_KEYS[key]\n for rk, canon in _REGION_KEYS.items():\n if rk.replace(\"-\", \" \") == key.replace(\"-\", \" \"):\n return canon\n return raw.strip()\n\n\n_PRICE_RE = re.compile(r\"(\\d[\\d\\s,.  ]*)\\s*\\$\")\n\n\ndef parse_price_night(label: str) -> float | None:\n \"\"\"Extrait un prix à la nuit d'un libellé (« 189 $ / nuit », « à partir de 250$ »).\"\"\"\n if not label:\n return None\n m = _PRICE_RE.search(label)\n if not m:\n return None\n raw = re.sub(r\"[\\s  ]\", \"\", m.group(1))\n # « 1,250.00 » vs « 1 250,00 » : la dernière ponctuation est la décimale\n if \",\" in raw and \".\" in raw:\n raw = raw.replace(\",\", \"\") if raw.rfind(\".\") > raw.rfind(\",\") \\\n else raw.replace(\".\", \"\").replace(\",\", \".\")\n elif \",\" in raw:\n head, _, tail = raw.rpartition(\",\")\n raw = f\"{head.replace(',', '')}.{tail}\" if len(tail) == 2 else raw.replace(\",\", \"\")\n try:\n val = float(raw)\n except ValueError:\n return None\n lab = strip_accents(label).lower()\n if \"sem\" in lab or \"/wk\" in lab or \"week\" in lab: # prix à la semaine\n return round(val / 7, 2)\n if \"mois\" in lab or \"month\" in lab: # prix mensuel : hors sujet ici\n return None\n return val if 20 <= val <= 20000 else None\n\n\n_AMEN_FLAGS = {\n \"spa\": (\"spa\", \"jacuzzi\", \"hot tub\", \"bain a remous\", \"bain tourbillon\"),\n \"pool\": (\"piscine\", \"pool\"),\n \"waterfront\": (\"bord de l'eau\", \"bord de leau\", \"bord du lac\", \"acces au lac\",\n \"acces lac\", \"waterfront\", \"lakefront\", \"riverain\",\n \"bord de riviere\", \"bord du fleuve\", \"plage privee\"),\n \"sauna\": (\"sauna\",),\n \"wifi\": (\"wifi\", \"wi-fi\", \"internet\"),\n \"fireplace\": (\"foyer\", \"fireplace\", \"poele a bois\"),\n \"ev_charger\": (\"borne\", \"recharge electrique\", \"ev charg\"),\n}\n\n\n@dataclass\nclass StListing:\n \"\"\"Hébergement court terme standardisé Lou-Ka.\"\"\"\n\n source: str # id de la source (data/sources_ct.json)\n external_id: str # identifiant chez la source\n url: str # page de l'annonce chez la source\n title: str = \"\"\n property_type: str = \"\" # voir PROPERTY_TYPES\n address: str = \"\"\n city: str = \"\" # municipalité (ex. Saint-Sauveur)\n region: str = \"\" # région touristique (ex. Laurentides)\n price_night: float | None = None # $ CAD / nuit (le plus bas si « à partir de »)\n price_label: str = \"\" # texte original (« à partir de 189 $/nuit »)\n capacity: float | None = None # nombre de personnes\n bedrooms: float | None = None\n beds: float | None = None\n bathrooms: float | None = None\n pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n citq: str = \"\" # numéro d'établissement CITQ si affiché\n rating: float | None = None # note (normalisée sur 5)\n reviews: int | None = None # nombre d'avis\n description: str = \"\"\n amenities: list[str] = field(default_factory=list)\n details: dict = field(default_factory=dict) # drapeaux (spa, pool…) + libres\n images: list[str] = field(default_factory=list)\n lat: float | None = None\n lng: float | None = None\n\n @property\n def uid(self) -> str:\n return f\"{self.source}:{self.external_id}\"\n\n def content_hash(self) -> str:\n blob = json.dumps(asdict(self), sort_keys=True, ensure_ascii=False)\n return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n\n def finalize(self) -> \"StListing\":\n \"\"\"Normalisation commune — idempotente, ne remplace jamais une valeur\n explicite du connecteur.\"\"\"\n self.title = _html.unescape(self.title or \"\").strip()\n self.address = _html.unescape(self.address or \"\").strip()\n self.city = _html.unescape(self.city or \"\").strip()\n self.region = normalize_region(self.region)\n if self.property_type:\n pt = self.property_type.strip().capitalize()\n canon = {strip_accents(p).lower(): p for p in PROPERTY_TYPES}\n self.property_type = canon.get(strip_accents(pt).lower(), pt)\n\n if self.price_night is None:\n self.price_night = parse_price_night(self.price_label)\n if self.price_night is not None and not (20 <= self.price_night <= 20000):\n self.price_night = None\n\n # bornes du Québec : rejeter coordonnées aberrantes (0/0, inversées…)\n if self.lat is not None and self.lng is not None:\n if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n self.lat = self.lng = None\n\n # drapeaux dérivés des commodités + description (pour les filtres)\n haystack = strip_accents(\" | \".join(self.amenities) + \" | \"\n + self.description[:2000]).lower()\n for flag, needles in _AMEN_FLAGS.items():\n if flag not in self.details and any(n in haystack for n in needles):\n self.details[flag] = True\n if self.pets is None:\n if re.search(r\"animaux (acceptes|admis|bienvenus)|pet friendly|\"\n r\"chiens? (acceptes?|admis|bienvenus?)\", haystack):\n self.pets = \"oui\"\n elif re.search(r\"(pas d|aucun|non aux) animaux|animaux (non admis|\"\n r\"interdits|refuses)|no pets\", haystack):\n self.pets = \"non\"\n if not self.citq:\n m = re.search(r\"citq\\D{0,12}(\\d{6})\", haystack)\n if m:\n self.citq = m.group(1)\n # note sur 10 (Booking) → sur 5\n if self.rating is not None and self.rating > 5.01:\n self.rating = round(self.rating / 2, 2)\n return self\n","structuredPatch":[{"oldStart":21,"oldLines":8,"newStart":21,"newLines":8,"lines":[" # Types canoniques d'hébergement (affichage + filtre)"," PROPERTY_TYPES = ["," \"Chalet\", \"Maison\", \"Condo\", \"Appartement\", \"Studio\", \"Loft\", \"Chambre\",","- \"Gîte\", \"Auberge\", \"Dôme\", \"Yourte\", \"Mini-maison\", \"Prêt-à-camper\",","- \"Refuge\", \"Camping\", \"Autre\",","+ \"Gîte\", \"Auberge\", \"Hôtel\", \"Motel\", \"Dôme\", \"Yourte\", \"Mini-maison\",","+ \"Prêt-à-camper\", \"Refuge\", \"Camping\", \"Autre\","," ]"," "," # Régions touristiques du Québec (canoniques)"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"703e16ee-c1b5-4df3-9a67-845750d3e086","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9XayAPf2LA9d8UeaXB","type":"message","role":"assistant","content":[{"type":"text","text":"Maintenant j'ajoute les entrées registre (sithotels + origine) dans `data/sources_ct.json`."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":417,"cache_read_input_tokens":70747,"cache_creation":{"ephemeral_5m_input_tokens":417,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4ebc0c70-0dd8-4a57-84c3-b2e2efd745e6"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9XayAPf2LA9d8UeaXB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0116h9uAVVLurSMXg2Fw6oG6","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport json\np = \"data/sources_ct.json\"\nd = json.load(open(p))\nsrcs = d[\"sources\"] if isinstance(d, dict) else d\nexisting = {s[\"id\"] for s in srcs}\nnew = [\n {\"id\": \"sithotels\",\n \"name\": \"SIT Québec — Hôtels\",\n \"url\": \"https://www.donneesquebec.ca/recherche/dataset/hotels-sit-quebec\",\n \"category\": \"hotels\",\n \"notes\": \"Répertoire officiel du ministère du Tourisme (CITQ/AHQ) : 1 910 hôtels avec adresse, géoloc, capacité, CITQ et site web. JSON Tourinsoft public — squelette d'inventaire, sans prix ni photos.\"},\n {\"id\": \"origine\",\n \"name\": \"Ôrigine artisans hôteliers\",\n \"url\": \"https://originehotels.com\",\n \"category\": \"hotels\",\n \"notes\": \"Réseau de 35 hôtels et auberges indépendants (ex-Hôtellerie Champêtre) dans 15 régions — fiches riches (photos, « à partir de », commodités), HTML Drupal statique.\"},\n]\nfor s in new:\n if s[\"id\"] not in existing:\n srcs.append(s)\njson.dump(d if isinstance(d, dict) else srcs, open(p, \"w\"), ensure_ascii=False, indent=2)\nprint(len(srcs), \"sources\")\nEOF","description":"Add sithotels and origine entries to sources_ct.json"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":417,"cache_read_input_tokens":70747,"cache_creation":{"ephemeral_5m_input_tokens":417,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0868a3dc-d302-45bf-9cc7-3aa313a5ae36"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0116h9uAVVLurSMXg2Fw6oG6","type":"tool_result","content":"54 sources","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0a8422b2-2325-451f-830c-910d34208cfb","timestamp":"2026-08-25T21:06:35.720Z","tool_use_result":{"stdout":"54 sources","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9YEthoyzhaqHoSCHki","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":632,"cache_read_input_tokens":71164,"cache_creation":{"ephemeral_5m_input_tokens":632,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"76d19525-a33e-468e-93c1-88a268bbfc50"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9YEthoyzhaqHoSCHki","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QreGNA7ewKN5HuhZR6MZA5","name":"Bash","input":{"command":"python3 -c \"\nimport json\nd=json.load(open('data/sources_ct.json'))\nsrcs=d['sources'] if isinstance(d,dict) else d\nimport collections\nkeys=collections.Counter(tuple(sorted(s.keys())) for s in srcs)\nfor k,n in keys.items(): print(n,k)\n\"","description":"Verify sources_ct.json entry key consistency"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":632,"cache_read_input_tokens":71164,"cache_creation":{"ephemeral_5m_input_tokens":632,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"849bc025-d45d-494e-a59c-3cdd6495b4ac"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QreGNA7ewKN5HuhZR6MZA5","type":"tool_result","content":"43 ('category', 'id', 'name', 'url')\n9 ('category', 'id', 'name', 'status', 'url')\n2 ('category', 'id', 'name', 'notes', 'url')","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"945521f5-04e6-460b-9f49-c9faf7bb8672","timestamp":"2026-08-25T21:06:40.174Z","tool_use_result":{"stdout":"43 ('category', 'id', 'name', 'url')\n9 ('category', 'id', 'name', 'status', 'url')\n2 ('category', 'id', 'name', 'notes', 'url')","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b80e7084-9b2e-4cc2-83e7-d5522237dc8a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Ya4d5Bt82jVQdsmBh","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":312,"cache_read_input_tokens":71796,"cache_creation":{"ephemeral_5m_input_tokens":312,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7dd3b5cc-7b71-4c51-a5ad-41e58a6b0c04"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Ya4d5Bt82jVQdsmBh","type":"message","role":"assistant","content":[{"type":"text","text":"Les entrées existantes n'ont pas de champ `notes` — je normalise."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":312,"cache_read_input_tokens":71796,"cache_creation":{"ephemeral_5m_input_tokens":312,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c87b8826-bd3a-4ab7-9c3e-9f9d9a9ac59d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Ya4d5Bt82jVQdsmBh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bf1drtMa9M8pUf8QSXjEsr","name":"Bash","input":{"command":"python3 -c \"\nimport json\np='data/sources_ct.json'\nd=json.load(open(p))\nsrcs=d['sources'] if isinstance(d,dict) else d\nfor s in srcs:\n if s['id'] in ('sithotels','origine'): s.pop('notes',None)\njson.dump(d,open(p,'w'),ensure_ascii=False,indent=2)\nprint('ok')\n\"","description":"Remove notes field from new registry entries"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":312,"cache_read_input_tokens":71796,"cache_creation":{"ephemeral_5m_input_tokens":312,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a0435700-7e36-4c7d-96bf-6cae11aa4f73"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bf1drtMa9M8pUf8QSXjEsr","type":"tool_result","content":"ok","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6de99b6d-880f-43df-b829-a25547438100","timestamp":"2026-08-25T21:06:46.041Z","tool_use_result":{"stdout":"ok","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2ca54ac6-e269-402e-9148-8bf52fd5a570","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9Yzv6ydXJWHgBKKqjZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Lf7yHmmaQFvP4pg49qzLHn","name":"TodoWrite","input":{"todos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"in_progress","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques reservit/mews (+ jaro, gouverneur si rentable)","status":"pending","activeForm":"Implémentation vague 2 hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":735,"cache_read_input_tokens":72108,"cache_creation":{"ephemeral_5m_input_tokens":735,"ephemeral_1h_input_tokens":0},"output_tokens":25,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a9c2684e-88ed-46c3-8cd0-e96a485b630b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lf7yHmmaQFvP4pg49qzLHn","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4ef723ca-4bb1-480e-a08b-69e934619389","timestamp":"2026-08-25T21:06:52.927Z","tool_use_result":{"oldTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"in_progress","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"pending","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques reservit/mews (+ jaro, gouverneur si rentable)","status":"pending","activeForm":"Implémentation vague 2 hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"newTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"in_progress","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques reservit/mews (+ jaro, gouverneur si rentable)","status":"pending","activeForm":"Implémentation vague 2 hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c5860291-4549-494d-8127-5a8f3128b96c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ZWS82n5tsY5dfaxGk","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISsggKpwEIERgCKkCT1DvEOvBt46cno+lSrKKguW0FuFIowIjiOdids2Mx05HUypN5jUcIrcEPK0xYty3rRu+bKpxjMwDfWJPltY+zMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAH1h7jUBrABAhIMeFjusNVoeTFZamxUGgwgLGPGmTLVp/24un4iMNg7qs0QEEi0yoKtGfQY+M0xrs4oLPiNVskEGlqwXb1Kh3Q6iZroz7XEQHabtxshWCq3Bg1/ls5GzPOiWjsYGSuDRGr0BFmF6mI2+JaJvzp8zBDfu/k2blc1Je4A5qTDqGJSfqrwMhUMqxvMaj7/Ago9UgFedlcHwo9qvSltT5Iv8uf7amDomC4kmb5x4ZKP8jSFWs26sGOodiFHg45VfszcaV6pVJdnSMSKDP8OO//jeinJAxULpsfAGGteTaVjjmEeDFDGRWUGynhAfA3V1my4IOaKeJpg0SWY31ZO8qCMbQ4PeJqkxQ3fKwvksVgPpMzrz9o1wf2/yFE9bVrVovC0AI1JPKCxj54YvF9ShkR896AwkGU9a7G2+LmVjrTh4k3mre1HhwDGXzm0+ooZCVa21mw222jHfPVH0uIxohtaJlnsxXU2cwzP5JpBlFUXtkMUy7mmxwr53bFWgUuNn3OKsdFbY6alosVI2vcSiHluEpFLZ9SJzWqPtnZIeU3C+4H6sJ4HwW+JL0MO5B+/UvFuY15S8iZtp2IWXB/ht6UdP4pjXTYNu4+PLtR1dlNC59ZFrYR6I0aBvmmzpEST7g+ep6nH1aQgRvdvsee2UMMAulFjN983oTDxb5jKhkB6YrZD43UR8vKucZDU8Bfsa9qZIq2ywYycWROIbv5mzz4K7iYRyE4x8xOaxKC1tHjmEq9WjvV8SiDYHk/Zdcx7VWMwF6/ljvyI2fMOU1+wlXfQHDxdqOi4TqlywxCdcKFOF2gvodfo9k9/T9St+gLiASJDlPGY23v4p1dnbRuQIqLnIVEcs5dWtu8Odrv+ZPt2xv4fq/FcCH8H47bDJEsl8LJeLw+3+2I05EqIJl6H2THDrOR68Ot5ys6ez53HICSu3cKTU1ybtukOO1CzwLfVjzYffwO9Ij4QREwH1+Hxk8FEKak6VLkRdzUic+yWoZgrITOqP6PC8ZKmOV4WBJ0ZfqMW9CeRGTLneSD8M957zyOyRyNFxlZs0vfjz7KMwxcCn1AM/0TSU5Cm16R0nE/x3Q4PCmVwj7QTey1IK7lWun+Xkpu5AX6iAduj9aywOoRIEJ2y5wG6/psZuiPMJGZzQiTe6G44gIyTtPB3aPtibaEY6oXvFgjJGjMM113aqpyXN823URR3ZrXTPYsYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":72843,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"543b8a96-1fc9-4d59-9624-4cacc246767a"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ZWS82n5tsY5dfaxGk","type":"message","role":"assistant","content":[{"type":"text","text":"La base est en place (schéma + catégorie + registre = 54 sources). Je vérifie le venv puis je lance les trois agents de la vague 1 en parallèle."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":72843,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6c925078-8e9f-4683-8b0a-327e08f9c4f3"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9ZWS82n5tsY5dfaxGk","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019k1HqER1tMN38v6hoZNviJ","name":"Bash","input":{"command":"ls -d venv .venv env 2>/dev/null; ls louka/shortterm/connectors/ | head -50; grep -n \"def detail\\|def get\\b\\|def get(\\|def get_rendered\\|def scrapfly\" louka/shortterm/connectors/base.py | head","description":"Check venv name and connector base API"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":618,"cache_read_input_tokens":72843,"cache_creation":{"ephemeral_5m_input_tokens":618,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ae6f29f2-fd30-4abf-bb8e-c56f0e7a07d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019k1HqER1tMN38v6hoZNviJ","type":"tool_result","content":".venv\n__init__.py\n__pycache__\n_expediadetail.py\naccestremblant.py\nairbnb.py\nalouerauxiles.py\nbase.py\nbonjourquebec.py\nbooking.py\nboraboreal.py\ncampingquebec.py\ncaptremblant.py\nchaleto.py\nchaletsalouer.py\nchaletsalpins.py\nchaletsarabais.py\nchaletsauquebec.py\nchaletsbsl.py\nchaletsdanslenord.py\ncorporatestays.py\ndomesstcome.py\nexpedia.py\ngitesauquebec.py\ngitespassant.py\nglampinghub.py\nhebergementcharlevoix.py\nhebergia.py\nhipcamp.py\nhomminichalets.py\nkijiji.py\nlesversants.py\nlocationdechalets.py\nmcal.py\nmemoriachalets.py\nmonsieurchalets.py\npanoraloges.py\nparcscanada.py\npourvoiries.py\nqldc.py\nrezerve.py\nrsvpchalets.py\nrvmt.py\nsepaq.py\nsinistar.py\ntremblantliving.py\nvrbo.py\nwechalet.py\n26: def detail(self, external_id: str, key: str, fetch_fn) -> dict:","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a4df739c-790e-4c5b-9895-2475a2090645","timestamp":"2026-08-25T21:07:02.808Z","tool_use_result":{"stdout":".venv\n__init__.py\n__pycache__\n_expediadetail.py\naccestremblant.py\nairbnb.py\nalouerauxiles.py\nbase.py\nbonjourquebec.py\nbooking.py\nboraboreal.py\ncampingquebec.py\ncaptremblant.py\nchaleto.py\nchaletsalouer.py\nchaletsalpins.py\nchaletsarabais.py\nchaletsauquebec.py\nchaletsbsl.py\nchaletsdanslenord.py\ncorporatestays.py\ndomesstcome.py\nexpedia.py\ngitesauquebec.py\ngitespassant.py\nglampinghub.py\nhebergementcharlevoix.py\nhebergia.py\nhipcamp.py\nhomminichalets.py\nkijiji.py\nlesversants.py\nlocationdechalets.py\nmcal.py\nmemoriachalets.py\nmonsieurchalets.py\npanoraloges.py\nparcscanada.py\npourvoiries.py\nqldc.py\nrezerve.py\nrsvpchalets.py\nrvmt.py\nsepaq.py\nsinistar.py\ntremblantliving.py\nvrbo.py\nwechalet.py\n26: def detail(self, external_id: str, key: str, fetch_fn) -> dict:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"808dffb2-a0d2-4b9b-8004-b49a85214e96","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aEoYjFf5hSdypHSqR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019sEWbSd489CNnQY6ghL9u9","name":"Bash","input":{"command":"sed -n 1,120p louka/shortterm/connectors/base.py","description":"Read connector base class API"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":949,"cache_read_input_tokens":73461,"cache_creation":{"ephemeral_5m_input_tokens":949,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fefb9b58-ebdb-49f6-bb02-c0ed2da7c3dc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019sEWbSd489CNnQY6ghL9u9","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/base.py : classe de base des connecteurs court terme.\n# Hérite des backends de fetch de BaseConnector (get direct + escalade\n# anti-bot Oxylabs→Scrapfly→Bright Data, get_rendered, scrapfly) mais son\n# cache détail vit dans la base court terme (louka_ct.db) et son contrat\n# retourne des StListing.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nfrom ...connectors.base import BaseConnector\nfrom ..schema import StListing\n\n\nclass StConnector(BaseConnector):\n \"\"\"Un connecteur court terme = un adaptateur propre à une plateforme\n d'hébergement (chalets, séjours, gîtes…).\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste des hébergements actuellement affichés. Le pipeline\n (shortterm/ingest.py) s'occupe du diff avec la base court terme.\n \"\"\"\n\n source_id: str = \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Cache détail dans louka_ct.db (jamais dans la base long terme).\"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n raise NotImplementedError","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b9a523d7-f848-40b5-b20c-5098f9b06eb0","timestamp":"2026-08-25T21:07:06.227Z","tool_use_result":{"stdout":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/base.py : classe de base des connecteurs court terme.\n# Hérite des backends de fetch de BaseConnector (get direct + escalade\n# anti-bot Oxylabs→Scrapfly→Bright Data, get_rendered, scrapfly) mais son\n# cache détail vit dans la base court terme (louka_ct.db) et son contrat\n# retourne des StListing.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nfrom ...connectors.base import BaseConnector\nfrom ..schema import StListing\n\n\nclass StConnector(BaseConnector):\n \"\"\"Un connecteur court terme = un adaptateur propre à une plateforme\n d'hébergement (chalets, séjours, gîtes…).\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste des hébergements actuellement affichés. Le pipeline\n (shortterm/ingest.py) s'occupe du diff avec la base court terme.\n \"\"\"\n\n source_id: str = \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Cache détail dans louka_ct.db (jamais dans la base long terme).\"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n raise NotImplementedError","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"28ffc868-cc19-49c3-bf18-f38d1c98f420","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aVCjDRRau575ZWggq","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISyDEKpwEIERgCKkAC0n9rK7hccU19ylRE8Uc9GH7hbjSKZPIjQu26ozNOM+3YP7uoyfeEyPbATxOtaYaPKmoxAJFBnaN7tqtOtq1aMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAGjiLjUBrABAhIMJGH3tEG+bGCbY/tPGgye2dEjBx1SNDPhjNQiMJ4TAa6I8hFZx4wGU9mOr4Rb649Lke8VE+0JAPYfYkfHqjCRmiB3mVAuMWGm+Dsm4yrNL/LGDIxRWuOzSqr43d0Zoi9CiL81ujfmCQi9bvnysWiYYdQrQS4l51AldEfdKqEO3R1iXMkbhvS/YCnSPgp56xSbR4sn2EdJJq+JJNkIWU9KTx895oqj48lcGwSsXLAclDWrDrOd047B51d1uh+1V0v5oy3vRTPdWnoryDE50LHKcUjSjsRqcy5WZajzzmZSySk7DTnlm+tcLwPNBfLJG0k1iOX0KScwNYTnUp8lRf4zPfSQ50csy5I5fQsHSuiies8CNo6URBoT1ngOV/ZCHnknoxY6+aTq1joSIN97cSPGY1Zo7cerzvifRNHcfbkxnSdvcXQRT4RPhlgyVC+48NsKC8+WDtPciEPEq9xfpspXBfjvXT8gut13N3zDISgTqcC48nyp03OW5p8K891WwGzkoiprzIlVS8//Jo0c72iX4KpO+gPrSILQ5QyV5afFIjuA4G2eQezq7Hxiazc1kJDc4TcjZdyHRELf/EoGdfVlnSaiB+aY7IjEvOYoiAE8/YhZ0Cq1LmiKLcfQycGRtozFHv5XBbXtJGffVHRoPx1628gJIctE7NjBIKsqCsxrCf3HTEPyC9eLmwflfpe6JNgId6zRkpDYy6R4SJ+oPXxzqUmjhOzbPTc6Zv3ojWEAwDA1VKdw/RtY/tzAVa4mvpMfsugc2DVLUlKii3yuS7tAky/O1fhXX2t5Y0kcxBiQ8YvR+EvSit/a47JZbveP1hJfDdS8jcVN88zFDLwz11qhFELqqrf1Fa4Rm9kRQGRp5KU6QDZ3/HnoHyGThrPibuj/91URemS8cwBFm8S3936MkV6v8miynZnSgNMam2Iv6FbRSDilRtbGj/U0pR8GYYPFsKPFjs0VxIK3al5/2/OwyZK9W/OrliHaYptgtVXdO9gOvi+8hQtDKDd1hCUNIoOBpa272OfOWVPZsv4kSyFF+5tIGBIZu9uWCJnj44ZwJtA298exSIEFTV7WREVprNrSVjMcHWEwYk+mItbOxvxdZZlRCakHXbM4ScI6ntDJKxKm1QnWQNfTBT/YBBfXFrwNI+7KpEcKRJpxrwiEpgJABO1wKh3RPhxrkQfw1mGu28OBt24YOV9PLxolcIdc0P3wzV1KvJy3WHlfh6JfrMOZ4/LLDI7L7uCiJoK6J7gGp/TQXT9EjcKrkClW/OnP9hd5XMWil0RzKlRN3pGFiTY2QLBrypJvABaQCt4Kd0LHy3CMFS9GfXZEKF3QXqlROcxfIDA4lKyIO2TKoNE12NB4kP0FECeWUI415iYaN9uo+SKBvh/bMEVkPyXol7lYMKnnVTYy7niGKvmMrp6l25rNEFvpnfZQ1dIprGeypIm2QWHKTbkPHW9lfLNoxv64MXbjypl+HF4PaOVYlQGEmj116KIAQyK+Bv+MyMZhFUUesSHlzLcjZzPI34Z0WQi81UMGBjb+wi+R73i/6H1hr0k3XY7bgf84jSg2Li2zfNbZBGn2I5NeUtAsZptpUJ0yDjy3huyPCx4fqiJBbiLuKNUIBdUX0kP1KSKORZjYGhkyROQQWiiXOv/nNnNSNvLQhC3uGidGmow52QGmzEcVxz5ip4nSNhujzKo73lE9jfS6tLo/E4is2loxdOdfHHKDNs6Kw9ZINanIDptZvhp81pVLqEWDCNJa6WmANGBv91RpReXKDX/P6FsSxI/yRXY5OCIOK2WFFl5p+ZPl22lWRowrKSbRUO4c8f4a1eZchc6VQr9mRGVmg3lGPZYY6QpYXqCPO2kL08lbGiPsxb0Lr30cLc8ubj7lztgqgDj0BxVVJ6WfmCwImqFsanIi7uDEEGYm7j2LkwT1CzC1azwCmC/SaL/ycb0jrKkfwlhzCvg6CDK4IH7n2oSiSh2ud2JVzjmFCBZOKtsB8flDFJeA+ZrO7nPLkEbeZ2yTit975LwqhoC0Tp32eexcu7PIajFILr7qnzhcEzt1Qpm0Hu0WHAwqHvhbvU5P4jZu5kmNOwJGgzhO7vXevIYJELGWE90RkT3/eisfYy7xoid3IjHsoAy4wAEzUUrW3xJjWU2qStWkTpkGq6KFQmMdPgkyIjgiAAgYAgqPjb2TUFz96bGMDoLu4vntLByTlUEnwBmhyOzP2HXR1wnArUoN7Ind1h/3gveGA/nTtlNPlO2Y6jH9cMEnt5QqUSoE83y57TrAEshKAG4XdPxTbNj0x0ytRQYaYs4xPkcC4QvP7M6cu/j4UeTbFGjpNIqfapwvpelBHzY7ZtU5liQDLJ7T8+TECocg27S9MU5+BrBkWb/sUrkUHttZgoy5x+g8fNN6moH/omcQbnh5rjkCVCREzXW8h+IJM/w4xYyyD9+ATPnHjPDgXzY0uOZN3o5NMNttQGdnzk6M/JChIZsqbO/X6eYZcIpbFNv6FZA3OHgu6NckUwvIhTUsHorh8hd24oAYbXXfiBuT/gpqQXbgzciShrLe7XNPpWcfat+amgbyu+efsE6XxK6rCPGNdnzJ3gkUT89wr9JtBGx/T7QTTblEBn/yX/RuZR6KVaNxX6gR4caUa+e4yz2hGHUdRMlplyX/6k54DaTlNKvPBxhBRsubG189cb9Yyoxwtu4yDDQraqUIgwFcAs//hVMoTejNGIL2wXxKsm9kI1FKE/TEdKLTjjfK7B2VLLmdJF22YSm41E0DpZQTbNvSn72KOjpg2ZhXaJZEo2dOj7niNA9ps9qimWmNNP20Q0YudeMLrNdxNe70OLOekLw+E9w18lpN59458T6FLw3iDDZw0KWVxFahy0QaI64RmhZl/BLBMq3GuWPd1j4KQIZX2N3tqDE1VdlriPyYgOLQb3lV7MdTN2hCEMUpUyQ2dE7VTgGsfuisC4dujJuBKbWbZFYVkISGZgaTBRzzRIeHfwUkYuylHOMW9O7B7HWBeJTaYwnyRyqGU0jkKzeg/OwsYP9odyzBVmiQtXjLGaodWyWLBKiXKnwNdznSNLY0j3/KCYHJQJgiB7waE3Egfia5wAVfolDoAYOQEb55QF+u00FT+cOU0ItsXVRe4BI2kpO6qvSveIlvkxxvqP28CXzFCF3IiwsXkeL63P7yVXaZPHmVShEIPW1hFdu/uXmgu4wVZnHb001M4PJrBXonrnKmAvXMaFvivj4qAVhs645qJFW5DMPiADVmq2i/CMzIraDxlMtFraeh9vbc52Y7veQWSVj2g0vJTOdjVtHzaSEHhcMR8po+ZfiO9J1jfc7d5nA6SpIjTly5yttSPcOvPzQo3wwmQnc+7dx/YGTa7zp0Dd+JR5Y+1vORD8VABFfRUvDKIp7U/5tf/oL+J2v+B2F2IcHRdNJ3eFsLPCaFjEK7szq1kvYvrS9EPnFiGey+56inflJe7WoSUzbbFmj6KjGuLxvEqkNh38N0oBxATLd0QVbtH15LKkYV4YvVsbfIkTKvUg7H6CCF46j/s7Iw1chefKLWoloZWURg3QJpfnpQm49GjPpXSFIRsy4GMLNe3VpR5OlVt/ed6/iFoT7D7x7t0KuJO/EgHWaZpvP72u5Jhfvt3WFip331Y7J5DH6nyu6lLIvm0q/JqDCs/05yBppJhEyB/QNuSmR7XXddATqt2bQbC852ZbCIJhxfwd0lvIQ4Eql+MSKQE78M2RXr2TPD9I2NaLZT39hBIAuAvNmeIdqeCs3eBtwS32JD29Ngfq5y84v0aOnyK82o/OZOD/zWUMDQ/ruPitG2DdJUNHYF+yZ+mLVyPwPfGkT1yHCrFdNVPYA9sQQ9LNZ51cb9/KCX7zmgSmFL28N0LkpAglbOzv3EoIBtab0Z0I571KvLM+OnHEOeVcySTFdbsdvuo/gJpj05Nk+RTfcq9zYScM7pNZyqpPkCpHGILSKQ4QYRapC6Boc4trSRsyAlG3CzqCrOYuFREgoRiGibO4Ssy4cbDfQihYWvf58y+g44Uy2OJPU8R9mJgcD6ChVmfd0pnzexjVf8MVU4MB2yI5qwtxBTDm0mrQu8aXvkWGoif2gZKcUTmiDuoZFAH6BcKatOmaGDvCXGvz5TO/Bzf0e1SHBuFDDxyXCEQR6D/UTq5cYTTaTULdXIrRQ7VoALNyuHR8cSswvSWrDrCAIO2gtk0q30Q005VZtb+LEjS5yF6mZlSssQC769LQjV+7xQku32sJdJI3+WQ6hniiGeCWxzQGGn7I4k0KSCr9STbA5IUV+EmgSDglLcn8/RXM732djLrMec8FZNHeP4/P9rQ4Qjy/QKKx7MIi5qDHW94NCU7DRImKAt4ZrT2amE1BKx5juzAwp8GvhIetbaolzlLKW5dg+O0/EnPEHXs0rJ89HQJbVLK8hCQvDptsRrFz1vFwZqZCm4n3zABgEvJ4A3R6F52i//o99g63ORqoWbYfdLbadkQDNAIIJ/lzflF2b7OpvIKs4q8gxGZ0t/bgqU9hUiZ1+AY+zUTEI3dgsc/2wEDHM6MIAiwFcQ2SF7FXCUYti0jbE9AkMtReUqlvT2kvzBd7dpq0wRFm2flDHg6Ogs3rLfO06Jbus905y6UjS47YV5NLoPuGhnezNoR+fZArOW2XbpepAJE02FG2IYLCyVqEKzIOX0ycPuY/q9DCNLyZBJe+L22A0ynjl4Ag3Wk9ft/DiNEI8jitT+eXy0GiKQCM9vP4gbzcNoLLknmiAZCmzdGtCzXvNTWkNM+KrP6cDegv0R6/q0l20TIOZeaE3ZZrDLYgkKWks2w3xxbKKE+EzcO0y6lEXOsNbzxN+32CHEUu/cm4+0drC9MmNp7SLVTVJyV++7q0YqrW8/+sjSdcZDwcXZhdDZ9ZWrNyEZ1SNze1OeS9niJumLJOzb4aKSX7ohJ02DRPqVbXbfrzyckPBC/VetmL/tSxDatBfECzXt7/O5ec25qbZAA6Wd4pomK0m2SQnpsV7uI1u7gscrkKFmhMcErOEEkygb+vkzBulZkkqhxqmMsFZsFbSaPffJOCj7tu8ctJDdLGsi7rcqNKWB3uLjlN29ee39PS/T3w7Twp4IPoU8FheVJPQjK3jEVm+VEasIfM1SqHeCsXDu7k/cB3W3aMuCmBWMZbNGj3CHpe6maDZ2bdiVJ8a6sMyymNhaisNmGcJcf6EYPp50j1yP6egHoBjQoJHRQzLUuI3grCB5HJXQAyhm+s1p+5fEHxlDegnlLffHQEcXcSP/nf51Mcm4yPqJIUzPb6nNsOkeFlrh+X3jAWHq3Uti0UJqFMLdGb9FR+TVAWuUcN9B0BFwEXuRq87Qq6IzU9wEmtgv5QYJmb8bYXP2eurB5wj7wzebncEmFJAasIHAzb1FhaLEbYXg/9RNHpY9sERAqCNYh0h7mOU6rQinurJsYm3NkKjTnMpZGkYnZe+DZZIDtqHFWyR9q7yHKHdZhPMhqfFY7TJ/IH2GJsvis2Zs9SYUXtQBHRt39ZWQhK8JE/dXGGf1SnIhENb8uXNAZYlzxby28cR5DgEvSIEZV/6AJIpxJfGucXqRTeBB0u1F6K+iyRxLum0/2p1b40O7FW7PvpOJ9ER9gXHxdhGodKzIVp2iU7sJLp6/Y8eho+De8Mn2iBZ7TrXMg3N7hKQvFFNh0/BBZ5vmXBIdXc1WZmbkdoqvduj62DXchq06+MtJj4fFQo12OjZF9fvDQczqrEF/1oIreDQw64Hv1055stD9E41+DU7/qVMvpQTWsYhUFwSkgqbCywM5kj3A8lz8UmXCrRgWanmUx++LRwX11L5FqtprYHnXUxkDRx36ltsfuFPVhpzj1aKyc1g3ZYBn/VFyldacw44TZWy8p5muOKz9hoZZfl8Fue7hEAxvp8fbETZhdYcdNM+aCBhlDnGISbhmco3TELiJYyK3NCvOmmlbH5gPlobZ+w9AuYeJ1FyD2BoCGRebpVp4fC4Zq8v967dHUMpRwgqTHhH7QUGyKDWjK1yWe0RIl/m7xPTAwIMm+yS4/f1X0M+c3YegdAeU2pzhEO/wuTXLiVMCeUasLP5btovrC0kE8GsMYXmS42/y9HWJ9rrx9qb3n4Oj7IWo6o4zA8f7/Vw98vOwzWFgikqkcQm1XdbKUh9dLQ7alLIeen7y5+JAHump+bemntFpIj+DHETijo3zm+NQ+nidwjtfudSMZofZRrFyyKqa071QhL9PM1S7e1j9GrONSag1YeR4oPMkcQ3tNfwR3G4CGWoeNfRfU39oYLF4mkSO6Ne3pjHjkio67RyW8+OpO1fAZzIXDy5TCh5665xhD+M2H+osn8/2xLk5k16mZmLuT73/xh7eY8wPznorI9rfUxRRwUguqB8wnn94O+NjvqgY1vsaLJPxPFAyTQwFjcG1lr6/5i0rBZyeIuckQIxDdndcYTXDqGevAwF/+K2YweKhD85KDymcw6t6QpU9wS741nOV09MOm49mYLjTtGv70zX8TtzlE06+hhAiS4M+NfD8TAAwVK/LzFDf3qx9ACdCx0fnE1H7LOSHBq5J47ppsQZjvpX/Htt85FrkyZ2cOYPRiRLsRGjla/yY0AdZBQqq9SVwYV5qgAPg5D9edpv1nONYvTOCf2RGQwSUX3S5N3BGrxMcqxZrdxpR2aGCGth/wjeWNf1zfklIlKnh6kLDI+q4EB/uaDO9EOsMYe8YD0UCkuwxPHgcmh9BNBsElqHFIuSUk5m2DLZtSIz2Ip9Y6/8/TObecIgRC6pVdWg7D9dDjnM+FN8HY/39xNlf9/TR6wB9V/Fz+6DBAJTmAYZJJ9LthFlMI1IR8aKiFlJaC2gQk1dqTJeqDKjQng5jWIJ39xYpPbkLcyMTPtgHrcl1NZIFk4bl9CZUcyM2ENF677tz88RY4zSB5R4Q+Z1HKHn0JEIIyUvCiFyRMEQhU8MAqyQ6jBJpQfQiP9SCD3+IcnERyM2n7U4nvik3aCErFWARfWd7muxglp/qNp+uDSqgPojtHiwZs4v0vkuC1QYORiq8DGBFpn8218EUKPIG5oitcbYItee7njyKmRoeU4bqoHiQdOdUp5y7o9fKMr4v8mFl1OVPoAO8Wdx5oriJi+8laG86gERJz7T2PDqLTrRxVXH/k6GU+jy9M6gMAan5J54I6UHXd7fyiaCGxjMD+jmt98UGU6Ms+VIcFHrY+IsV5m/4s/DAj53gAu2/Vu7U1eyP/DAgqEh/7LgGN9sXuONamnwfB9dDlH+RsW5JV6CFOU1fUXhYmXcIWTuzsIg+Y1GaEEwFTUkBBeGt0Snr1nFANSX3OJDGxYvN+mpOEJ6QPLDAhXibfY/FclpkqEK8ABnjHnDS3fvhbxBf0iYjqVKoC80IcTTqpaiYoUhEZp38ukJ59WO48xl68uBSiUYRFkX1Y9cPFgbmasK9UjqlcpKQcrpMWw+9Kxpp4C5ebDA05Lwoo1aYaBHC+PaZPO2kFk1eYhky9KWcasLpZJA42EyKVwhC73uxPmCn7K3mDA4Ef8sTILTi6C0wcKfjhHwGstqeACq0MyGRUmhO2jqVrW7jzp4FsGEuTPBkg/08NGf3vXVTH/+ctjOVFn3lGX5G7qCqOB877TnWeeHEWPmNRWl+OJaf5wzGbQ67RWO19YYt3XGsJnEqjEWChK/0xEGPsSvbAgUoDjxG3rRmtNTGAt8AX+t0Qvhv2HlE8xPIbTNqTDbhjU18TFIY0hQ8lBstaD7Rwd/IHin3m9lqRzuEjo9zbty+Q62MIGr/GO+KNIYO0AUgGJ41Pk7s/d1CjzgTreHEcrQh6LwttL/c45X2mv1855N0vSSxdInOBQSSZRT2ETYheFBgzBVhpgOPQGszakTYy0OrO/IONGmxksh01Rg9ymU1SZq1ouGeZeJBKd1GuL3f5XFcfOw9mHuIZZGLPF3v5iXeViM+Vt2pqIoNOEdcd4q/z0Oka1Y1CXfSSiPXdhhuGRVEiw7F0TK/mN65D2b86iH72t1Knxn2Q3PyNXS4y3hMM81uJacmT7tli4g4iZncpPiPlLu1DngWWxDUt8z4CdrP0bLCIyt8jbRO3Enz+aak65z8fP355DltHaaNrzaGUWD6Uz3KKZk/HYf+C8h52OiPz845hoDNOvkFOImqZk+ET0ZSVZXGEh4PbJH0z2eGQiRxj17U3v10OgOsvnDDtCPttexHh/l3Wqhxhi9PPHjEuPHFLwvTG2E3YiajroSBaTmUAF6YZBgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":762,"cache_read_input_tokens":74410,"cache_creation":{"ephemeral_5m_input_tokens":762,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fea2ab7c-b72a-4cad-b3f7-2cc6bb183b79"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aVCjDRRau575ZWggq","type":"message","role":"assistant","content":[{"type":"text","text":"Je lance les trois agents de la vague 1 en parallèle (connecteur SIT, connecteur Ôrigine, job de détection des moteurs de réservation)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":762,"cache_read_input_tokens":74410,"cache_creation":{"ephemeral_5m_input_tokens":762,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cd2bc974-c769-46df-8329-b26dfd842dc5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aVCjDRRau575ZWggq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","name":"Agent","input":{"description":"Connecteur CT sithotels (SIT Québec)","subagent_type":"general-purpose","run_in_background":true,"prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `sithotels` — le répertoire officiel des hôtels du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/`, une classe qui hérite de `StConnector` (`from .base import StConnector`), avec `source_id = \"sithotels\"` et une méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Les connecteurs sont auto-découverts par introspection — aucun registre de code à modifier. Lis 2-3 connecteurs existants pour le style (ex. `louka/shortterm/connectors/boraboreal.py`, `sepaq.py`) : en-tête de commentaires en français qui documente la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique — « Hôtel » et « Motel » viennent d'être ajoutés à PROPERTY_TYPES), address, city, region (région touristique, normalisée par finalize()), price_night, price_label, capacity, bedrooms, beds, bathrooms, pets (\"oui\"|\"non\"|\"conditions\"), citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` est appelé par le pipeline (normalisation type/région, bornes géo QC, extraction CITQ de la description si absent…).\n\n## La source (vérifiée par un agent de reconnaissance)\nDataset officiel « Hôtels — SIT Québec » (ministère du Tourisme / CITQ / AHQ), JSON public sans auth, ~10,8 Mo, **1 910 hôtels**, mis à jour quotidiennement :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nChamps disponibles : nom, adresse complète + municipalité, lat/long, téléphone, courriel, site web (`SiteInternets`, parfois directement une URL Reservit), nombre d'unités, capacité maximale totale, numéro d'enregistrement CITQ, services (restauration, transport, accessibilité Kéroul, animaux acceptés…), catégorie/classification, régions touristiques, périodes d'ouverture. PAS de prix ni de photos — c'est un squelette d'inventaire officiel.\n\nCommence par télécharger le JSON dans /tmp et INSPECTE sa structure réelle (les champs Tourinsoft sont souvent des listes de dicts avec des clés bizarres) avant d'écrire le parseur.\n\n## Règles de mapping\n- `external_id` : identifiant stable du dataset (SyndicObjectID ou équivalent) — PAS le CITQ (peut manquer).\n- `citq` : le numéro d'enregistrement, directement.\n- `property_type` : « Hôtel » par défaut ; « Motel » si la catégorie/le nom l'indique clairement ; « Auberge » si c'est une auberge.\n- `url` : le site web de l'hôtel si présent et valide (http/https, nettoyer les valeurs multiples) ; sinon fallback vers une URL publique stable qui présente l'établissement (ex. recherche BonjourQuébec ou le répertoire gouvernemental `https://repertoire.hebergement.tourisme.gouv.qc.ca/` — vérifie ce qui donne un lien utilisable) ; en dernier recours, ignore l'entrée seulement si AUCUNE URL raisonnable n'est possible (préférer garder la fiche).\n- **NE PAS** mettre la capacité totale de l'hôtel dans `capacity` (ce champ signifie « personnes par unité » sur le site) — mets plutôt le nombre d'unités et la capacité totale dans `details` (ex. `details[\"units\"]`, `details[\"total_capacity\"]`) et mentionne-les dans la description.\n- `pets` : depuis les services (animaux acceptés → \"oui\"/\"conditions\").\n- `amenities` : depuis les services (libellés français propres).\n- `description` : rédige un court paragraphe éditorial français assemblé à partir des faits (catégorie/classification, nb d'unités, services, région, période d'ouverture s'il y en a une). Pas de prix inventé.\n- `price_night=None`, `price_label=\"\"` (le site affichera « Prix sur demande »).\n- lat/lng si présents et plausibles (le finalize borne au QC).\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (déjà fait) ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une grosse campagne de sync tourne en ce moment) ni écrire dans `data/louka_ct.db`.\n- Tester en process : `.venv/bin/python` du repo, instancier le connecteur, appeler `fetch()`, imprimer le nombre de fiches + 3 exemples complets + stats de couverture des champs (url propre, citq, lat/lng, région, pets). Appelle `finalize()` sur les exemples pour vérifier la normalisation. Comme il n'y a qu'un seul téléchargement JSON, un fetch complet en test est acceptable.\n- Vérifie que l'import auto-découverte marche : `.venv/bin/python -c \"from louka.shortterm.connectors import *\"` ou équivalent utilisé par le pipeline (regarde `louka/shortterm/ingest.py` pour voir comment les connecteurs sont découverts et reproduis ce chemin).\n\nRapport final (≤300 mots) : structure réelle du JSON, choix de mapping, stats de couverture, pièges rencontrés."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":762,"cache_read_input_tokens":74410,"cache_creation":{"ephemeral_5m_input_tokens":762,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a97b6b5d-646b-47d7-a615-dccea9b1789e"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Connecteur CT sithotels (SIT Québec)","task_type":"local_agent","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `sithotels` — le répertoire officiel des hôtels du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/`, une classe qui hérite de `StConnector` (`from .base import StConnector`), avec `source_id = \"sithotels\"` et une méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Les connecteurs sont auto-découverts par introspection — aucun registre de code à modifier. Lis 2-3 connecteurs existants pour le style (ex. `louka/shortterm/connectors/boraboreal.py`, `sepaq.py`) : en-tête de commentaires en français qui documente la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique — « Hôtel » et « Motel » viennent d'être ajoutés à PROPERTY_TYPES), address, city, region (région touristique, normalisée par finalize()), price_night, price_label, capacity, bedrooms, beds, bathrooms, pets (\"oui\"|\"non\"|\"conditions\"), citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` est appelé par le pipeline (normalisation type/région, bornes géo QC, extraction CITQ de la description si absent…).\n\n## La source (vérifiée par un agent de reconnaissance)\nDataset officiel « Hôtels — SIT Québec » (ministère du Tourisme / CITQ / AHQ), JSON public sans auth, ~10,8 Mo, **1 910 hôtels**, mis à jour quotidiennement :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nChamps disponibles : nom, adresse complète + municipalité, lat/long, téléphone, courriel, site web (`SiteInternets`, parfois directement une URL Reservit), nombre d'unités, capacité maximale totale, numéro d'enregistrement CITQ, services (restauration, transport, accessibilité Kéroul, animaux acceptés…), catégorie/classification, régions touristiques, périodes d'ouverture. PAS de prix ni de photos — c'est un squelette d'inventaire officiel.\n\nCommence par télécharger le JSON dans /tmp et INSPECTE sa structure réelle (les champs Tourinsoft sont souvent des listes de dicts avec des clés bizarres) avant d'écrire le parseur.\n\n## Règles de mapping\n- `external_id` : identifiant stable du dataset (SyndicObjectID ou équivalent) — PAS le CITQ (peut manquer).\n- `citq` : le numéro d'enregistrement, directement.\n- `property_type` : « Hôtel » par défaut ; « Motel » si la catégorie/le nom l'indique clairement ; « Auberge » si c'est une auberge.\n- `url` : le site web de l'hôtel si présent et valide (http/https, nettoyer les valeurs multiples) ; sinon fallback vers une URL publique stable qui présente l'établissement (ex. recherche BonjourQuébec ou le répertoire gouvernemental `https://repertoire.hebergement.tourisme.gouv.qc.ca/` — vérifie ce qui donne un lien utilisable) ; en dernier recours, ignore l'entrée seulement si AUCUNE URL raisonnable n'est possible (préférer garder la fiche).\n- **NE PAS** mettre la capacité totale de l'hôtel dans `capacity` (ce champ signifie « personnes par unité » sur le site) — mets plutôt le nombre d'unités et la capacité totale dans `details` (ex. `details[\"units\"]`, `details[\"total_capacity\"]`) et mentionne-les dans la description.\n- `pets` : depuis les services (animaux acceptés → \"oui\"/\"conditions\").\n- `amenities` : depuis les services (libellés français propres).\n- `description` : rédige un court paragraphe éditorial français assemblé à partir des faits (catégorie/classification, nb d'unités, services, région, période d'ouverture s'il y en a une). Pas de prix inventé.\n- `price_night=None`, `price_label=\"\"` (le site affichera « Prix sur demande »).\n- lat/lng si présents et plausibles (le finalize borne au QC).\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (déjà fait) ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une grosse campagne de sync tourne en ce moment) ni écrire dans `data/louka_ct.db`.\n- Tester en process : `.venv/bin/python` du repo, instancier le connecteur, appeler `fetch()`, imprimer le nombre de fiches + 3 exemples complets + stats de couverture des champs (url propre, citq, lat/lng, région, pets). Appelle `finalize()` sur les exemples pour vérifier la normalisation. Comme il n'y a qu'un seul téléchargement JSON, un fetch complet en test est acceptable.\n- Vérifie que l'import auto-découverte marche : `.venv/bin/python -c \"from louka.shortterm.connectors import *\"` ou équivalent utilisé par le pipeline (regarde `louka/shortterm/ingest.py` pour voir comment les connecteurs sont découverts et reproduis ce chemin).\n\nRapport final (≤300 mots) : structure réelle du JSON, choix de mapping, stats de couverture, pièges rencontrés.","uuid":"66cdfdb5-70f7-40f3-8510-cdd55d97e991","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: a192b0c751262f9da (internal ID - do not mention to user. Use SendMessage with to: 'a192b0c751262f9da' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a192b0c751262f9da.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"dbb21e5f-058f-4699-9e90-fc6f0ab14a43","timestamp":"2026-08-25T21:08:16.702Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a192b0c751262f9da","description":"Connecteur CT sithotels (SIT Québec)","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `sithotels` — le répertoire officiel des hôtels du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/`, une classe qui hérite de `StConnector` (`from .base import StConnector`), avec `source_id = \"sithotels\"` et une méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Les connecteurs sont auto-découverts par introspection — aucun registre de code à modifier. Lis 2-3 connecteurs existants pour le style (ex. `louka/shortterm/connectors/boraboreal.py`, `sepaq.py`) : en-tête de commentaires en français qui documente la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique — « Hôtel » et « Motel » viennent d'être ajoutés à PROPERTY_TYPES), address, city, region (région touristique, normalisée par finalize()), price_night, price_label, capacity, bedrooms, beds, bathrooms, pets (\"oui\"|\"non\"|\"conditions\"), citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` est appelé par le pipeline (normalisation type/région, bornes géo QC, extraction CITQ de la description si absent…).\n\n## La source (vérifiée par un agent de reconnaissance)\nDataset officiel « Hôtels — SIT Québec » (ministère du Tourisme / CITQ / AHQ), JSON public sans auth, ~10,8 Mo, **1 910 hôtels**, mis à jour quotidiennement :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nChamps disponibles : nom, adresse complète + municipalité, lat/long, téléphone, courriel, site web (`SiteInternets`, parfois directement une URL Reservit), nombre d'unités, capacité maximale totale, numéro d'enregistrement CITQ, services (restauration, transport, accessibilité Kéroul, animaux acceptés…), catégorie/classification, régions touristiques, périodes d'ouverture. PAS de prix ni de photos — c'est un squelette d'inventaire officiel.\n\nCommence par télécharger le JSON dans /tmp et INSPECTE sa structure réelle (les champs Tourinsoft sont souvent des listes de dicts avec des clés bizarres) avant d'écrire le parseur.\n\n## Règles de mapping\n- `external_id` : identifiant stable du dataset (SyndicObjectID ou équivalent) — PAS le CITQ (peut manquer).\n- `citq` : le numéro d'enregistrement, directement.\n- `property_type` : « Hôtel » par défaut ; « Motel » si la catégorie/le nom l'indique clairement ; « Auberge » si c'est une auberge.\n- `url` : le site web de l'hôtel si présent et valide (http/https, nettoyer les valeurs multiples) ; sinon fallback vers une URL publique stable qui présente l'établissement (ex. recherche BonjourQuébec ou le répertoire gouvernemental `https://repertoire.hebergement.tourisme.gouv.qc.ca/` — vérifie ce qui donne un lien utilisable) ; en dernier recours, ignore l'entrée seulement si AUCUNE URL raisonnable n'est possible (préférer garder la fiche).\n- **NE PAS** mettre la capacité totale de l'hôtel dans `capacity` (ce champ signifie « personnes par unité » sur le site) — mets plutôt le nombre d'unités et la capacité totale dans `details` (ex. `details[\"units\"]`, `details[\"total_capacity\"]`) et mentionne-les dans la description.\n- `pets` : depuis les services (animaux acceptés → \"oui\"/\"conditions\").\n- `amenities` : depuis les services (libellés français propres).\n- `description` : rédige un court paragraphe éditorial français assemblé à partir des faits (catégorie/classification, nb d'unités, services, région, période d'ouverture s'il y en a une). Pas de prix inventé.\n- `price_night=None`, `price_label=\"\"` (le site affichera « Prix sur demande »).\n- lat/lng si présents et plausibles (le finalize borne au QC).\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (déjà fait) ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une grosse campagne de sync tourne en ce moment) ni écrire dans `data/louka_ct.db`.\n- Tester en process : `.venv/bin/python` du repo, instancier le connecteur, appeler `fetch()`, imprimer le nombre de fiches + 3 exemples complets + stats de couverture des champs (url propre, citq, lat/lng, région, pets). Appelle `finalize()` sur les exemples pour vérifier la normalisation. Comme il n'y a qu'un seul téléchargement JSON, un fetch complet en test est acceptable.\n- Vérifie que l'import auto-découverte marche : `.venv/bin/python -c \"from louka.shortterm.connectors import *\"` ou équivalent utilisé par le pipeline (regarde `louka/shortterm/ingest.py` pour voir comment les connecteurs sont découverts et reproduis ce chemin).\n\nRapport final (≤300 mots) : structure réelle du JSON, choix de mapping, stats de couverture, pièges rencontrés.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a192b0c751262f9da.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":23076,"tool_uses":1,"duration_ms":4567},"last_tool_name":"Read","uuid":"44337149-e065-483f-9cdf-ebe08fcf7de5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Reading louka/shortterm/connectors/boraboreal.py","usage":{"total_tokens":23086,"tool_uses":3,"duration_ms":5277},"last_tool_name":"Read","uuid":"8214bc67-62bf-45d4-8feb-8d74ee56ef5c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Download SIT hotels JSON dataset to /tmp","usage":{"total_tokens":23091,"tool_uses":4,"duration_ms":7812},"last_tool_name":"Bash","uuid":"a3bef4b3-492b-4928-904d-e41abc2c9038","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bkl1sopw3","tool_use_id":"toolu_019RwWKaeobVERW9EEJG2Unr","description":"Download SIT hotels JSON dataset to /tmp","task_type":"local_bash","uuid":"5f1fe608-8285-4247-867a-9fc85b7c694b","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":23081,"tool_uses":2,"duration_ms":4571},"last_tool_name":"Read","uuid":"ab1e54b0-09b9-4f64-b24b-723559288deb","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bkl1sopw3","tool_use_id":"toolu_019RwWKaeobVERW9EEJG2Unr","status":"completed","output_file":"","summary":"Download SIT hotels JSON dataset to /tmp","uuid":"a7e7e132-f441-41c0-80d4-d5217f1dbdcd","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Inspect top-level JSON structure","usage":{"total_tokens":32648,"tool_uses":5,"duration_ms":17168},"last_tool_name":"Bash","uuid":"38b76984-24ee-4dc7-b682-4a2df904c052","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aVCjDRRau575ZWggq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","name":"Agent","input":{"description":"Connecteur CT origine (Ôrigine hôtels)","subagent_type":"general-purpose","run_in_background":true,"prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `origine` — le réseau Ôrigine artisans hôteliers (ex-Hôtellerie Champêtre), **35 hôtels/auberges indépendants** dans 15 régions du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/origine.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"origine\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection, aucun registre de code. Lis 2-3 connecteurs existants pour le style (ex. `boraboreal.py`, `memoriachalets.py`, `sepaq.py`) : en-tête de commentaires français documentant la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique : « Hôtel » / « Auberge » existent), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{} (spa/pool/waterfront/sauna/wifi/fireplace/ev_charger…), images[], lat, lng. `finalize()` normalise type/région, extrait le CITQ de la description, dérive les flags.\n\nLa classe de base offre : `self.get(url)` (fetch direct + escalade anti-bot), `self.scrapfly(url)`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db.\n\n## La source (vérifiée par un agent de reconnaissance)\n- Annuaire : `https://originehotels.com/fr/hotels-auberges` — site Drupal, HTML statique, 200 en direct, `sitemap.xml` propre.\n- Fiches : URLs `/fr/hotels-auberges//` — TRÈS riches : ~36 photos par fiche, prix « À partir de X $ » par type de chambre, commodités détaillées, texte de présentation.\n- La résa centrale (reservations.originehotels.com, SynXis derrière Imperva) n'est PAS nécessaire : les prix « à partir de » sont déjà dans le HTML des fiches.\n\n## Règles de mapping\n- `external_id` = slug de la fiche ; `url` = la fiche originehotels.com (c'est là qu'on réserve en direct).\n- `price_night` = le MINIMUM des « à partir de » des types de chambre ; `price_label` = « À partir de X $ / nuit ».\n- `property_type` : « Auberge » si le nom le dit, sinon « Hôtel ».\n- `capacity`/`bedrooms` : seulement si la fiche donne une info par unité claire — sinon laisse None (ne pas mettre la taille totale de l'hôtel dans capacity ; le nb de chambres de l'hôtel peut aller dans `details[\"units\"]`).\n- Photos : toutes les URLs d'images de la galerie (absolues, dédupliquées, pas les icônes/logos).\n- `region`, `city`, `address`, lat/lng si présents (JSON-LD ? balises géo ? inspecte le HTML).\n- `amenities` : commodités affichées (libellés français propres).\n- `description` : texte de présentation de la fiche (nettoyé du HTML).\n- Utilise `self.detail(slug, \"v1\", fetch_fn)` pour cacher chaque page fiche — 35 pages, pas de budget nécessaire.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une campagne de sync tourne).\n- Pour les TESTS : désactive le cache détail (`self.use_detail_cache = False` sur l'instance, ou l'attribut équivalent — vérifie dans `louka/connectors/base.py`) pour ne PAS écrire dans louka_ct.db, et limite-toi à ~5 fiches (patch temporaire de la liste de slugs dans le test, pas dans le code). Imprime les StListing complets de ces 5 fiches après `finalize()` : titre, prix, région, nb photos, commodités.\n- Vérifie `.venv/bin/python -c \"import louka.shortterm.connectors.origine\"` propre.\n\nRapport final (≤300 mots) : structure HTML trouvée, méthode d'extraction des prix/photos, résultats des 5 fiches test, pièges."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":762,"cache_read_input_tokens":74410,"cache_creation":{"ephemeral_5m_input_tokens":762,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"98c88eb3-b58b-43d8-b2b9-a1c734d924ff"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Connecteur CT origine (Ôrigine hôtels)","task_type":"local_agent","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `origine` — le réseau Ôrigine artisans hôteliers (ex-Hôtellerie Champêtre), **35 hôtels/auberges indépendants** dans 15 régions du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/origine.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"origine\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection, aucun registre de code. Lis 2-3 connecteurs existants pour le style (ex. `boraboreal.py`, `memoriachalets.py`, `sepaq.py`) : en-tête de commentaires français documentant la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique : « Hôtel » / « Auberge » existent), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{} (spa/pool/waterfront/sauna/wifi/fireplace/ev_charger…), images[], lat, lng. `finalize()` normalise type/région, extrait le CITQ de la description, dérive les flags.\n\nLa classe de base offre : `self.get(url)` (fetch direct + escalade anti-bot), `self.scrapfly(url)`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db.\n\n## La source (vérifiée par un agent de reconnaissance)\n- Annuaire : `https://originehotels.com/fr/hotels-auberges` — site Drupal, HTML statique, 200 en direct, `sitemap.xml` propre.\n- Fiches : URLs `/fr/hotels-auberges//` — TRÈS riches : ~36 photos par fiche, prix « À partir de X $ » par type de chambre, commodités détaillées, texte de présentation.\n- La résa centrale (reservations.originehotels.com, SynXis derrière Imperva) n'est PAS nécessaire : les prix « à partir de » sont déjà dans le HTML des fiches.\n\n## Règles de mapping\n- `external_id` = slug de la fiche ; `url` = la fiche originehotels.com (c'est là qu'on réserve en direct).\n- `price_night` = le MINIMUM des « à partir de » des types de chambre ; `price_label` = « À partir de X $ / nuit ».\n- `property_type` : « Auberge » si le nom le dit, sinon « Hôtel ».\n- `capacity`/`bedrooms` : seulement si la fiche donne une info par unité claire — sinon laisse None (ne pas mettre la taille totale de l'hôtel dans capacity ; le nb de chambres de l'hôtel peut aller dans `details[\"units\"]`).\n- Photos : toutes les URLs d'images de la galerie (absolues, dédupliquées, pas les icônes/logos).\n- `region`, `city`, `address`, lat/lng si présents (JSON-LD ? balises géo ? inspecte le HTML).\n- `amenities` : commodités affichées (libellés français propres).\n- `description` : texte de présentation de la fiche (nettoyé du HTML).\n- Utilise `self.detail(slug, \"v1\", fetch_fn)` pour cacher chaque page fiche — 35 pages, pas de budget nécessaire.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une campagne de sync tourne).\n- Pour les TESTS : désactive le cache détail (`self.use_detail_cache = False` sur l'instance, ou l'attribut équivalent — vérifie dans `louka/connectors/base.py`) pour ne PAS écrire dans louka_ct.db, et limite-toi à ~5 fiches (patch temporaire de la liste de slugs dans le test, pas dans le code). Imprime les StListing complets de ces 5 fiches après `finalize()` : titre, prix, région, nb photos, commodités.\n- Vérifie `.venv/bin/python -c \"import louka.shortterm.connectors.origine\"` propre.\n\nRapport final (≤300 mots) : structure HTML trouvée, méthode d'extraction des prix/photos, résultats des 5 fiches test, pièges.","uuid":"bc394d22-ece3-4c6e-800e-75f13f19fb20","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: a59524279e81058e4 (internal ID - do not mention to user. Use SendMessage with to: 'a59524279e81058e4' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a59524279e81058e4.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b4b55cf6-5646-44f2-b579-1d8b699659dc","timestamp":"2026-08-25T21:08:36.514Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a59524279e81058e4","description":"Connecteur CT origine (Ôrigine hôtels)","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme `origine` — le réseau Ôrigine artisans hôteliers (ex-Hôtellerie Champêtre), **35 hôtels/auberges indépendants** dans 15 régions du Québec.\n\n## Contexte\nLe sous-système court terme vit dans `louka/shortterm/`. Un connecteur = un fichier dans `louka/shortterm/connectors/origine.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"origine\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection, aucun registre de code. Lis 2-3 connecteurs existants pour le style (ex. `boraboreal.py`, `memoriachalets.py`, `sepaq.py`) : en-tête de commentaires français documentant la méthode, code sobre.\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (canonique : « Hôtel » / « Auberge » existent), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{} (spa/pool/waterfront/sauna/wifi/fireplace/ev_charger…), images[], lat, lng. `finalize()` normalise type/région, extrait le CITQ de la description, dérive les flags.\n\nLa classe de base offre : `self.get(url)` (fetch direct + escalade anti-bot), `self.scrapfly(url)`, et `self.detail(external_id, key, fetch_fn)` = cache détail TTL dans louka_ct.db.\n\n## La source (vérifiée par un agent de reconnaissance)\n- Annuaire : `https://originehotels.com/fr/hotels-auberges` — site Drupal, HTML statique, 200 en direct, `sitemap.xml` propre.\n- Fiches : URLs `/fr/hotels-auberges//` — TRÈS riches : ~36 photos par fiche, prix « À partir de X $ » par type de chambre, commodités détaillées, texte de présentation.\n- La résa centrale (reservations.originehotels.com, SynXis derrière Imperva) n'est PAS nécessaire : les prix « à partir de » sont déjà dans le HTML des fiches.\n\n## Règles de mapping\n- `external_id` = slug de la fiche ; `url` = la fiche originehotels.com (c'est là qu'on réserve en direct).\n- `price_night` = le MINIMUM des « à partir de » des types de chambre ; `price_label` = « À partir de X $ / nuit ».\n- `property_type` : « Auberge » si le nom le dit, sinon « Hôtel ».\n- `capacity`/`bedrooms` : seulement si la fiche donne une info par unité claire — sinon laisse None (ne pas mettre la taille totale de l'hôtel dans capacity ; le nb de chambres de l'hôtel peut aller dans `details[\"units\"]`).\n- Photos : toutes les URLs d'images de la galerie (absolues, dédupliquées, pas les icônes/logos).\n- `region`, `city`, `address`, lat/lng si présents (JSON-LD ? balises géo ? inspecte le HTML).\n- `amenities` : commodités affichées (libellés français propres).\n- `description` : texte de présentation de la fiche (nettoyé du HTML).\n- Utilise `self.detail(slug, \"v1\", fetch_fn)` pour cacher chaque page fiche — 35 pages, pas de budget nécessaire.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` ni `schema.py` (déjà fait).\n- NE PAS lancer `run.py sync-ct` (une campagne de sync tourne).\n- Pour les TESTS : désactive le cache détail (`self.use_detail_cache = False` sur l'instance, ou l'attribut équivalent — vérifie dans `louka/connectors/base.py`) pour ne PAS écrire dans louka_ct.db, et limite-toi à ~5 fiches (patch temporaire de la liste de slugs dans le test, pas dans le code). Imprime les StListing complets de ces 5 fiches après `finalize()` : titre, prix, région, nb photos, commodités.\n- Vérifie `.venv/bin/python -c \"import louka.shortterm.connectors.origine\"` propre.\n\nRapport final (≤300 mots) : structure HTML trouvée, méthode d'extraction des prix/photos, résultats des 5 fiches test, pièges.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a59524279e81058e4.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Print first record in full","usage":{"total_tokens":32910,"tool_uses":6,"duration_ms":20769},"last_tool_name":"Bash","uuid":"8716e432-0702-453b-8daf-97fb476542a4","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":22680,"tool_uses":2,"duration_ms":5035},"last_tool_name":"Read","uuid":"507c8679-e887-4fad-bb94-1b155694ba6c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":22675,"tool_uses":1,"duration_ms":3960},"last_tool_name":"Read","uuid":"517802d0-4202-4556-a93c-acb97ccc5b27","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Reading 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{"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Download Origine sitemap","usage":{"total_tokens":37637,"tool_uses":7,"duration_ms":17933},"last_tool_name":"Bash","uuid":"771445a4-f819-4f73-8ba2-e84cfdd47c3f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Extract hotel fiche URLs from sitemap","usage":{"total_tokens":39204,"tool_uses":8,"duration_ms":22106},"last_tool_name":"Bash","uuid":"a88d9256-8938-4bf7-90b5-f6ff69521c75","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Print rest of first record","usage":{"total_tokens":36624,"tool_uses":7,"duration_ms":24559},"last_tool_name":"Bash","uuid":"683302e2-32a9-4173-be2a-c36910a80674","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9aVCjDRRau575ZWggq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011JNh6RkLgLiGYba96hDh17","name":"Agent","input":{"description":"Job détection moteurs résa hôtels","subagent_type":"general-purpose","run_in_background":true,"prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka). Mission : construire la **table hôtel → moteur de réservation → identifiants** pour les hôtels du Québec, en sondant les sites web des hôtels du répertoire officiel. Ce fichier servira ensuite à écrire des connecteurs génériques Reservit/Mews/SynXis. C'est un JOB de collecte (script + données), PAS un connecteur.\n\n## Source d'inventaire\nDataset officiel « Hôtels — SIT Québec », JSON public ~10,8 Mo, 1 910 hôtels dont ~1 062 avec un site web propre :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nTélécharge-le dans /tmp et inspecte la structure (format Tourinsoft, champs parfois en listes de dicts). Champs utiles : nom, municipalité, région touristique, CITQ, site web (`SiteInternets` — parfois déjà une URL secure.reservit.com !), identifiant stable (SyndicObjectID ou équivalent).\n\n## Ce qu'il faut produire\n1. Un script **résumable** `scripts/detect_hotel_engines.py` (crée le dossier `scripts/` s'il n'existe pas ; shebang + docstring français expliquant l'usage). Il :\n - charge le dataset SIT, garde les entrées avec site web http(s) valide ;\n - saute celles déjà présentes dans le fichier de sortie (reprise après interruption) ;\n - sonde chaque site en DIRECT (requests/curl_cffi, timeout 10 s, User-Agent navigateur, concurrency ~16 threads, PAS d'anti-bot payant — un site qui bloque est marqué `error`) : homepage + si besoin la page liée « réserver/reservation/booking » trouvée dans le HTML ;\n - détecte le moteur par motifs dans le HTML et les href :\n - **reservit** : `secure.reservit.com` — extraire custid/hotelid des patterns `/fo/booking///`, `/engine/booking///`, `indexmodal.php?customerid=`, ou paramètres `custid=`/`hotelid=` (au Québec custid=58 est le distributeur commun) ;\n - **mews** : `mews.com/distributor/` ;\n - **synxis** : `be.synxis.com` avec `chain=&hotel=` ;\n - **travelclick / iHotelier** : `travelclick.com`, `reservations.travelclick.com/`, `bookings.ihotelier.com` (hotelid si présent) ;\n - autres moteurs fréquents à capturer génériquement : `lodgify.com`, `hotels.cloudbeds.com/reservation/`, `bookingsuite`, `resengo`, `roomraccoon`, `guestline`, `siteminder`/`thebookingbutton`/`direct-book.com`, `availpro`/`d-edge`/`secure-hotel-booking.com`, `webrez`, `innroad`, `resnexus`, `freetobook`, `hotello`, `sirvoy`, `little hotelier` ;\n - sinon `engine: \"autre\"` (garde le href du bouton réserver s'il pointe hors du domaine) ou `\"aucun\"` ;\n - écrit au fur et à mesure (flush périodique) `data/hotels_engines.json` : `{\"generated\": , \"hotels\": [{\"sit_id\", \"citq\", \"name\", \"city\", \"region\", \"website\", \"engine\", \"engine_ids\": {...}, \"booking_url\"}]}`.\n2. **EXÉCUTE le script jusqu'au bout** avec `.venv/bin/python` du repo. ~1 062 sites à 16 threads ≈ 15-25 min ; lance-le en arrière-plan avec log dans /tmp et relance-le s'il est interrompu (il est résumable). Vérifie à la fin : nombre total sondé, répartition par moteur.\n\n## Interdits\n- NE PAS toucher aux connecteurs, à `data/sources_ct.json`, à `schema.py`, ni à `data/louka_ct.db`.\n- NE PAS utiliser Scrapfly/Bright Data/Oxylabs (coût inutile pour un probe de masse) — direct seulement.\n- NE PAS lancer `run.py`.\n\nRapport final (≤300 mots) : nb de sites sondés, répartition par moteur (compte exact par catégorie), exemples d'ids Reservit/Mews/SynXis extraits, taux d'erreur, et ta recommandation sur les 2-3 connecteurs génériques les plus rentables."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":762,"cache_read_input_tokens":74410,"cache_creation":{"ephemeral_5m_input_tokens":762,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2abfa2c2-2e08-4cf0-91b9-5a0ff905e586"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"adc7a300747f9b9f3","tool_use_id":"toolu_011JNh6RkLgLiGYba96hDh17","description":"Job détection moteurs résa hôtels","task_type":"local_agent","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka). Mission : construire la **table hôtel → moteur de réservation → identifiants** pour les hôtels du Québec, en sondant les sites web des hôtels du répertoire officiel. Ce fichier servira ensuite à écrire des connecteurs génériques Reservit/Mews/SynXis. C'est un JOB de collecte (script + données), PAS un connecteur.\n\n## Source d'inventaire\nDataset officiel « Hôtels — SIT Québec », JSON public ~10,8 Mo, 1 910 hôtels dont ~1 062 avec un site web propre :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nTélécharge-le dans /tmp et inspecte la structure (format Tourinsoft, champs parfois en listes de dicts). Champs utiles : nom, municipalité, région touristique, CITQ, site web (`SiteInternets` — parfois déjà une URL secure.reservit.com !), identifiant stable (SyndicObjectID ou équivalent).\n\n## Ce qu'il faut produire\n1. Un script **résumable** `scripts/detect_hotel_engines.py` (crée le dossier `scripts/` s'il n'existe pas ; shebang + docstring français expliquant l'usage). Il :\n - charge le dataset SIT, garde les entrées avec site web http(s) valide ;\n - saute celles déjà présentes dans le fichier de sortie (reprise après interruption) ;\n - sonde chaque site en DIRECT (requests/curl_cffi, timeout 10 s, User-Agent navigateur, concurrency ~16 threads, PAS d'anti-bot payant — un site qui bloque est marqué `error`) : homepage + si besoin la page liée « réserver/reservation/booking » trouvée dans le HTML ;\n - détecte le moteur par motifs dans le HTML et les href :\n - **reservit** : `secure.reservit.com` — extraire custid/hotelid des patterns `/fo/booking///`, `/engine/booking///`, `indexmodal.php?customerid=`, ou paramètres `custid=`/`hotelid=` (au Québec custid=58 est le distributeur commun) ;\n - **mews** : `mews.com/distributor/` ;\n - **synxis** : `be.synxis.com` avec `chain=&hotel=` ;\n - **travelclick / iHotelier** : `travelclick.com`, `reservations.travelclick.com/`, `bookings.ihotelier.com` (hotelid si présent) ;\n - autres moteurs fréquents à capturer génériquement : `lodgify.com`, `hotels.cloudbeds.com/reservation/`, `bookingsuite`, `resengo`, `roomraccoon`, `guestline`, `siteminder`/`thebookingbutton`/`direct-book.com`, `availpro`/`d-edge`/`secure-hotel-booking.com`, `webrez`, `innroad`, `resnexus`, `freetobook`, `hotello`, `sirvoy`, `little hotelier` ;\n - sinon `engine: \"autre\"` (garde le href du bouton réserver s'il pointe hors du domaine) ou `\"aucun\"` ;\n - écrit au fur et à mesure (flush périodique) `data/hotels_engines.json` : `{\"generated\": , \"hotels\": [{\"sit_id\", \"citq\", \"name\", \"city\", \"region\", \"website\", \"engine\", \"engine_ids\": {...}, \"booking_url\"}]}`.\n2. **EXÉCUTE le script jusqu'au bout** avec `.venv/bin/python` du repo. ~1 062 sites à 16 threads ≈ 15-25 min ; lance-le en arrière-plan avec log dans /tmp et relance-le s'il est interrompu (il est résumable). Vérifie à la fin : nombre total sondé, répartition par moteur.\n\n## Interdits\n- NE PAS toucher aux connecteurs, à `data/sources_ct.json`, à `schema.py`, ni à `data/louka_ct.db`.\n- NE PAS utiliser Scrapfly/Bright Data/Oxylabs (coût inutile pour un probe de masse) — direct seulement.\n- NE PAS lancer `run.py`.\n\nRapport final (≤300 mots) : nb de sites sondés, répartition par moteur (compte exact par catégorie), exemples d'ids Reservit/Mews/SynXis extraits, taux d'erreur, et ta recommandation sur les 2-3 connecteurs génériques les plus rentables.","uuid":"708ea361-65fe-4d8f-b972-d5560010e90e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011JNh6RkLgLiGYba96hDh17","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: adc7a300747f9b9f3 (internal ID - do not mention to user. Use SendMessage with to: 'adc7a300747f9b9f3' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/adc7a300747f9b9f3.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fbb3ba05-395e-429a-b728-3de7d831abd1","timestamp":"2026-08-25T21:08:59.709Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"adc7a300747f9b9f3","description":"Job détection moteurs résa hôtels","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka). Mission : construire la **table hôtel → moteur de réservation → identifiants** pour les hôtels du Québec, en sondant les sites web des hôtels du répertoire officiel. Ce fichier servira ensuite à écrire des connecteurs génériques Reservit/Mews/SynXis. C'est un JOB de collecte (script + données), PAS un connecteur.\n\n## Source d'inventaire\nDataset officiel « Hôtels — SIT Québec », JSON public ~10,8 Mo, 1 910 hôtels dont ~1 062 avec un site web propre :\n`https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/535f2f61-f91a-47c1-827d-ecc908c17dba?format=json`\nTélécharge-le dans /tmp et inspecte la structure (format Tourinsoft, champs parfois en listes de dicts). Champs utiles : nom, municipalité, région touristique, CITQ, site web (`SiteInternets` — parfois déjà une URL secure.reservit.com !), identifiant stable (SyndicObjectID ou équivalent).\n\n## Ce qu'il faut produire\n1. Un script **résumable** `scripts/detect_hotel_engines.py` (crée le dossier `scripts/` s'il n'existe pas ; shebang + docstring français expliquant l'usage). Il :\n - charge le dataset SIT, garde les entrées avec site web http(s) valide ;\n - saute celles déjà présentes dans le fichier de sortie (reprise après interruption) ;\n - sonde chaque site en DIRECT (requests/curl_cffi, timeout 10 s, User-Agent navigateur, concurrency ~16 threads, PAS d'anti-bot payant — un site qui bloque est marqué `error`) : homepage + si besoin la page liée « réserver/reservation/booking » trouvée dans le HTML ;\n - détecte le moteur par motifs dans le HTML et les href :\n - **reservit** : `secure.reservit.com` — extraire custid/hotelid des patterns `/fo/booking///`, `/engine/booking///`, `indexmodal.php?customerid=`, ou paramètres `custid=`/`hotelid=` (au Québec custid=58 est le distributeur commun) ;\n - **mews** : `mews.com/distributor/` ;\n - **synxis** : `be.synxis.com` avec `chain=&hotel=` ;\n - **travelclick / iHotelier** : `travelclick.com`, `reservations.travelclick.com/`, `bookings.ihotelier.com` (hotelid si présent) ;\n - autres moteurs fréquents à capturer génériquement : `lodgify.com`, `hotels.cloudbeds.com/reservation/`, `bookingsuite`, `resengo`, `roomraccoon`, `guestline`, `siteminder`/`thebookingbutton`/`direct-book.com`, `availpro`/`d-edge`/`secure-hotel-booking.com`, `webrez`, `innroad`, `resnexus`, `freetobook`, `hotello`, `sirvoy`, `little hotelier` ;\n - sinon `engine: \"autre\"` (garde le href du bouton réserver s'il pointe hors du domaine) ou `\"aucun\"` ;\n - écrit au fur et à mesure (flush périodique) `data/hotels_engines.json` : `{\"generated\": , \"hotels\": [{\"sit_id\", \"citq\", \"name\", \"city\", \"region\", \"website\", \"engine\", \"engine_ids\": {...}, \"booking_url\"}]}`.\n2. **EXÉCUTE le script jusqu'au bout** avec `.venv/bin/python` du repo. ~1 062 sites à 16 threads ≈ 15-25 min ; lance-le en arrière-plan avec log dans /tmp et relance-le s'il est interrompu (il est résumable). Vérifie à la fin : nombre total sondé, répartition par moteur.\n\n## Interdits\n- NE PAS toucher aux connecteurs, à `data/sources_ct.json`, à `schema.py`, ni à `data/louka_ct.db`.\n- NE PAS utiliser Scrapfly/Bright Data/Oxylabs (coût inutile pour un probe de masse) — direct seulement.\n- NE PAS lancer `run.py`.\n\nRapport final (≤300 mots) : nb de sites sondés, répartition par moteur (compte exact par catégorie), exemples d'ids Reservit/Mews/SynXis extraits, taux d'erreur, et ta recommandation sur les 2-3 connecteurs génériques les plus rentables.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/adc7a300747f9b9f3.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7b7a1b51-a421-4a9f-9137-27b1e4e2ab4e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"adc7a300747f9b9f3","tool_use_id":"toolu_011JNh6RkLgLiGYba96hDh17","description":"Running List repo structure and check venv","usage":{"total_tokens":22716,"tool_uses":1,"duration_ms":4322},"last_tool_name":"Bash","uuid":"ad64583f-e3ab-4bf5-9e86-38a62688130e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Analyze coverage of key fields across dataset","usage":{"total_tokens":38803,"tool_uses":9,"duration_ms":48099},"last_tool_name":"Bash","uuid":"a6043e85-c121-4e98-a3e9-551a96c734b4","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Extract fiche links from directory page","usage":{"total_tokens":39392,"tool_uses":9,"duration_ms":25959},"last_tool_name":"Bash","uuid":"af76ddb2-6d4c-4116-aa99-a28d5c03a9ee","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Download sample fiche (Auberge des Falaises)","usage":{"total_tokens":40927,"tool_uses":10,"duration_ms":31848},"last_tool_name":"Bash","uuid":"94c7dcdb-a8ae-4661-a796-f7adde068c7e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bg5mfq4ab","tool_use_id":"toolu_018jkkJTLbtnK7rHVo4K2y9P","description":"Download SIT Québec hotels dataset","task_type":"local_bash","uuid":"b8b3a70c-b181-49ee-9719-6c8c24bc36b1","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Download sample fiche (Hotel Griffintown)","usage":{"total_tokens":40929,"tool_uses":11,"duration_ms":33197},"last_tool_name":"Bash","uuid":"f5b51652-7145-4ae6-8ffc-cc8a37c2f688","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"adc7a300747f9b9f3","tool_use_id":"toolu_011JNh6RkLgLiGYba96hDh17","description":"Running Download SIT Québec hotels dataset","usage":{"total_tokens":22725,"tool_uses":2,"duration_ms":7231},"last_tool_name":"Bash","uuid":"77672fda-f0e4-472f-9b82-fabaf6e1d8bb","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQ9irXMZjzYnhagKzTUr","type":"message","role":"assistant","content":[{"type":"text","text":"**Vague 1 hôtels lancée.** L'inventaire a livré une trouvaille majeure : le dataset officiel SIT Québec (ministère du Tourisme/CITQ) publie les **1 910 hôtels de la province en JSON libre** — nom, adresse, géoloc, capacité, CITQ, site web. Ça change la stratégie : on obtient l'inventaire complet sans scraper 1 200 sites.\n\nTrois agents travaillent en parallèle :\n1. **`sithotels`** — connecteur du répertoire officiel : 1 910 fiches squelettes (sans prix/photos, mais officielles et géolocalisées).\n2. **`origine`** — Ôrigine artisans hôteliers (ex-Hôtellerie Champêtre) : 35 hôtels avec fiches riches (36 photos, prix « à partir de », commodités).\n3. **Détection des moteurs** — sonde les ~1 062 sites d'hôtels du SIT pour bâtir la table hôtel→moteur (Reservit dominant au QC, Mews, SynXis, TravelClick) → base de la vague 2 : connecteurs **génériques** par moteur, qui couvriront des centaines d'hôtels avec prix live.\n\nJ'ai déjà fait la base moi-même : « Hôtel » et « Motel » ajoutés aux types canoniques, catégorie « Hôtellerie » sur la page Sources, registre à 54 sources.\n\nPendant ce temps, la campagne de sync continue (Airbnb en cartographie, 13 400 annonces découvertes, req 1038/1200). 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Je relance le probe en détaché pour finir les 794 restants."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":673,"cache_read_input_tokens":86775,"cache_creation":{"ephemeral_5m_input_tokens":673,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"839c5786-180d-4b9b-96a0-db948543b099"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Verify package links belong to the hotel","usage":{"total_tokens":74822,"tool_uses":32,"duration_ms":275225},"last_tool_name":"Bash","uuid":"7c6df4b4-ef4b-49ad-ba72-298c46bed3c7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA2mk7p4LDfTeFz9X51","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0142nxau7WpWQnRQS7tzZKes","name":"Bash","input":{"command":"nohup .venv/bin/python scripts/detect_hotel_engines.py >> /tmp/detect_engines.log 2>&1 & echo \"PID $!\"; sleep 5; tail -2 /tmp/detect_engines.log","description":"Relaunch engine detection probe detached"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":673,"cache_read_input_tokens":86775,"cache_creation":{"ephemeral_5m_input_tokens":673,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9a415e64-f7b2-4eba-b407-2c503e0bec5b"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Searching for origine","usage":{"total_tokens":74824,"tool_uses":33,"duration_ms":275916},"last_tool_name":"Grep","uuid":"a90502ac-0492-494d-8829-65728c7f5434","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"b6kmhnlmv","tool_use_id":"toolu_0142nxau7WpWQnRQS7tzZKes","description":"Relaunch engine detection probe detached","task_type":"local_bash","uuid":"c3346126-095e-4574-9ed0-1383fd215878","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b6kmhnlmv","tool_use_id":"toolu_0142nxau7WpWQnRQS7tzZKes","status":"completed","output_file":"","summary":"Relaunch engine detection probe detached","uuid":"c2162fb9-102e-441b-8a92-a14a12199627","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0142nxau7WpWQnRQS7tzZKes","type":"tool_result","content":"PID 57900\n794 hôtels à sonder\n 20/794 sondés (dernier: MOTEL ÎLE D'ORLÉANS -> reservit)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bc5e4151-6c80-4bfa-893b-63e96e429284","timestamp":"2026-08-25T21:13:17.206Z","tool_use_result":{"stdout":"PID 57900\n794 hôtels à sonder\n 20/794 sondés (dernier: MOTEL ÎLE D'ORLÉANS -> reservit)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"258d944f-75e0-4b9c-89a5-ca59cbed9c67","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Writing louka/shortterm/connectors/sithotels.py","usage":{"total_tokens":69387,"tool_uses":27,"duration_ms":304192},"last_tool_name":"Write","uuid":"7ed16546-a479-4887-8f8d-ec03e6c38bfd","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA3qvv2vYB5FaQBEfjq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NTshnAVXB5vxCkRnuzEuQW","name":"Bash","input":{"command":"until ! 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Output is being written to: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/bn10yssdi.output","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5319f1bf-88e3-4911-ba02-df13708196fa","timestamp":"2026-08-25T21:13:23.132Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"backgroundTaskId":"bn10yssdi"}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"21c19a0b-301b-4546-b20c-2c1e21c99691","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA4GhvtFUnHVfrYzUbR","type":"message","role":"assistant","content":[{"type":"text","text":"Le probe des moteurs a repris (794 sites restants, reprise automatique validée) et je serai notifié à sa fin. En attendant, les agents `sithotels` et `origine` travaillent toujours, et la campagne de sync suit son cours — j'enchaîne à la prochaine notification."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":274,"cache_read_input_tokens":87767,"cache_creation":{"ephemeral_5m_input_tokens":274,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1e84d50c-05a0-4229-8da1-0bb8a2bf9e36"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a192b0c751262f9da","tool_use_id":"toolu_0173cLU2DstL9bMcdZB6ZHqm","description":"Running Full test of sithotels connector with coverage 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9HxyNJQYpJavqDCyb","type":"message","role":"assistant","content":[{"type":"text","text":"Le connecteur `sithotels` est livré (1 910 fiches, CITQ/géoloc/région à 100 %). Je fais une vérification rapide d'import."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1441,"cache_read_input_tokens":88041,"cache_creation":{"ephemeral_5m_input_tokens":1441,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"29d2c10b-17dc-43ab-bb96-5bffdf0198f4"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQA9HxyNJQYpJavqDCyb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EJc9yGFiDorm59QPy2Re9w","name":"Bash","input":{"command":".venv/bin/python -c \"\nfrom louka.shortterm.ingest import ST_CONNECTORS if False else None\" 2>/dev/null; .venv/bin/python - <<'EOF'\nimport louka.shortterm.ingest as ing\nnames = sorted(getattr(ing, 'ST_CONNECTORS', {}).keys()) if hasattr(ing,'ST_CONNECTORS') else None\nif names is None:\n # découverte comme le pipeline\n import inspect\n print(\"attr ST_CONNECTORS absent, inspecte ingest:\", [a for a in dir(ing) if 'conn' in a.lower()])\nelse:\n print(len(names), 'connecteurs'); print('sithotels' in names, 'origine' in names)\nEOF","description":"Verify sithotels connector auto-discovery"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1441,"cache_read_input_tokens":88041,"cache_creation":{"ephemeral_5m_input_tokens":1441,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1507fd4b-50c4-4f0c-8d3b-4249e8d96525"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EJc9yGFiDorm59QPy2Re9w","type":"tool_result","content":"45 connecteurs\nTrue True","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9bc43522-c787-4da6-a552-ed1d9f10938f","timestamp":"2026-08-25T21:14:40.970Z","tool_use_result":{"stdout":"45 connecteurs\nTrue True","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c1c89564-137f-4b8c-8328-fa7a4b85ca85","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAA29FLwRYDjcLex3nY","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":536,"cache_read_input_tokens":89482,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a6d18d8e-5293-48e2-bb1d-6e0a830790e4"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAA29FLwRYDjcLex3nY","type":"message","role":"assistant","content":[{"type":"text","text":"`sithotels` est bien auto-découvert (45 connecteurs au total — `origine` s'importe déjà aussi, son agent finalise ses tests). J'attends la fin de l'agent Ôrigine et du probe moteurs, puis je lancerai les syncs hôtels et la vague 2."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":536,"cache_read_input_tokens":89482,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fe9084d0-e74a-48fd-adfe-da20fac2c85a"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Editing louka/shortterm/connectors/origine.py","usage":{"total_tokens":88519,"tool_uses":37,"duration_ms":372138},"last_tool_name":"Edit","uuid":"2d665d2f-96c0-4d89-85f3-1154b7d76e3e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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'hotelid': '466107'} https://secure.reservit.com/engine/booking/58/466107/dates?langcode=FR\nreservit HÔTEL QUALITY INN & SUITES VICTORIAVILLE {} https://secure.reservit.com/reservit/reserhotel.php\nmews BALNEA HOTEL {'distributor': 'e2b2102b-2f15-425c-9a56-b3000177255b'} https://app.mews.com/distributor/e2b2102b-2f15-425c-9a56-b3000177255b\nmews HÔTEL GRIFFINTOWN {'distributor': '66af42b6-02a5-4ccb-a67e-b27400ec99ec'} https://app.mews.com/distributor/66af42b6-02a5-4ccb-a67e-b27400ec99ec\nsynxis LE MOUNT STEPHEN {'chain': '24447', 'hotel': '6892'} https://be.synxis.com\nsynxis AUBERGE SAINT-ANTOINE {} https://be.synxis.com/assets/chain/8565/hotel/22941/fileStorage/other/favicon.ico","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e527938c-dca7-4e9f-ae65-d6c85779ad50","timestamp":"2026-08-25T21:15:01.718Z","tool_use_result":{"stdout":" d-edge 2\n littlehotelier 1\n freetobook 1\ntotal sondés: 1174\n reservit: 278\n aucun: 268\n 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQABYG1TWoDHCLUpWrtz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1300,"cache_read_input_tokens":90417,"cache_creation":{"ephemeral_5m_input_tokens":1300,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4a9fd919-3896-4866-be0f-760d8834b8c4"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQABYG1TWoDHCLUpWrtz","type":"message","role":"assistant","content":[{"type":"text","text":"Probe terminé : 1 174 sites sondés — **Reservit 278, Mews 121, Cloudbeds 47, TravelClick 30, SynXis 14**. Je vérifie combien ont des identifiants exploitables avant de lancer la vague 2."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1300,"cache_read_input_tokens":90417,"cache_creation":{"ephemeral_5m_input_tokens":1300,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"43bf37f6-8e33-4998-bb38-a46421236591"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQABYG1TWoDHCLUpWrtz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GoxpgbYZAbRrLMkGu8zbWz","name":"Bash","input":{"command":"python3 -c \"\nimport json\nd=json.load(open('data/hotels_engines.json'))\nh=d['hotels'] if isinstance(d,dict) else d\nres=[x for x in h if x.get('engine')=='reservit']\nres_ids=[x for x in res if x.get('engine_ids',{}).get('hotelid')]\nmews=[x for x in h if x.get('engine')=='mews']\nmews_ids=[x for x in mews if x.get('engine_ids',{}).get('distributor')]\ncb=[x for x in h if x.get('engine')=='cloudbeds']\ncb_ids=[x for x in cb if x.get('engine_ids')]\nsyn=[x for x in h if x.get('engine')=='synxis']\nsyn_ids=[x for x in syn if x.get('engine_ids',{}).get('hotel')]\nprint(f'reservit: {len(res_ids)}/{len(res)} avec hotelid')\nprint(f'mews: {len(mews_ids)}/{len(mews)} avec distributor')\nprint(f'cloudbeds: {len(cb_ids)}/{len(cb)} avec ids ->', cb_ids[0].get('engine_ids') if cb_ids else None)\nprint(f'synxis: {len(syn_ids)}/{len(syn)} avec chain/hotel')\nimport collections\ncustids=collections.Counter(x['engine_ids'].get('custid') for x in res_ids)\nprint('custids reservit:', custids.most_common(8))\n\"","description":"Count usable engine ids per booking engine"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1300,"cache_read_input_tokens":90417,"cache_creation":{"ephemeral_5m_input_tokens":1300,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"48f3f8da-e565-4e6a-b442-aaa34172c7f1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GoxpgbYZAbRrLMkGu8zbWz","type":"tool_result","content":"reservit: 247/278 avec hotelid\nmews: 121/121 avec distributor\ncloudbeds: 28/47 avec ids -> {'slug': 'pPExZy'}\nsynxis: 9/14 avec chain/hotel\ncustids reservit: [('58', 208), (None, 18), ('510', 3), ('515', 2), ('457', 2), ('452', 2), ('442822356192633', 1), ('521', 1)]","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2ef3499c-334c-41f2-a026-da268f4df990","timestamp":"2026-08-25T21:15:12.818Z","tool_use_result":{"stdout":"reservit: 247/278 avec hotelid\nmews: 121/121 avec distributor\ncloudbeds: 28/47 avec ids -> {'slug': 'pPExZy'}\nsynxis: 9/14 avec chain/hotel\ncustids reservit: [('58', 208), (None, 18), ('510', 3), ('515', 2), ('457', 2), ('452', 2), ('442822356192633', 1), ('521', 1)]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"93525b11-ce0c-4864-9c3c-b76450b63569","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Check connector registry discovery mechanism","usage":{"total_tokens":91489,"tool_uses":39,"duration_ms":399942},"last_tool_name":"Bash","uuid":"7309fdbe-d004-48f5-992b-8eed2a0d53d4","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Show working tree status and recent commits","usage":{"total_tokens":92807,"tool_uses":42,"duration_ms":416010},"last_tool_name":"Bash","uuid":"74dc7aca-4952-4639-a8f4-fda430685a54","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Running Confirm origine in auto-discovered registry","usage":{"total_tokens":92616,"tool_uses":41,"duration_ms":407522},"last_tool_name":"Bash","uuid":"a2d3ea40-c2c8-4722-9a15-6cc085c4f90c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_updated","task_id":"a59524279e81058e4","patch":{"status":"completed","end_time":1787692557195},"uuid":"72f9b9aa-09c0-4020-9bfa-cf39f52c3c25","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a59524279e81058e4","tool_use_id":"toolu_01CqQmvd75aEjMEcaRPwMTjY","description":"Reading louka/shortterm/connectors/__init__.py","usage":{"total_tokens":91989,"tool_uses":40,"duration_ms":403547},"last_tool_name":"Read","uuid":"011de94f-dfbf-4958-a18c-b12ea559f173","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQACMkmFgaepzhQuUxN4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1035,"cache_read_input_tokens":91717,"cache_creation":{"ephemeral_5m_input_tokens":1035,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6112c3fd-3ae0-4a41-803b-f571fcc736c8"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQACMkmFgaepzhQuUxN4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011Tpo6UcUSGeQAYn39G32gK","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport json\np=\"data/sources_ct.json\"\nd=json.load(open(p)); srcs=d[\"sources\"] if isinstance(d,dict) else d\nhave={s[\"id\"] for s in srcs}\nfor e in [\n {\"id\":\"mews\",\"name\":\"Mews — réservation directe\",\"url\":\"https://www.mews.com\",\"category\":\"hotels\"},\n {\"id\":\"reservit\",\"name\":\"Reservit — réservation directe\",\"url\":\"https://www.reservit.com\",\"category\":\"hotels\"},\n]:\n if e[\"id\"] not in have: srcs.append(e)\njson.dump(d,open(p,\"w\"),ensure_ascii=False,indent=2)\nprint(len(srcs),\"sources\")\nEOF","description":"Add mews and reservit registry 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAG36TZkaPeG5hEycEp","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS1wQKpwEIERgCKkA/GgVkOlIqT8V7Cb4ETIDzjYNUy3IgE/9wnilduk8DnoqxBNnoO/YPEJ0cvw09pAjsiXv3yCVY7+Dq80HCZexBMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAGYjLjUBrABAhIMFJotkRfZPakV0mrRGgynviaSVkV1KkQldl4iMFCIIaSA9k6G6LpTb4uKnnP+Ds9W4+vKhKfs3L5omvS1/uhBWrLc5sFQTv1MBBCxHCrcAtohRLWYTzpNBBFYlfViU+eT6oq1WrYvJ32MNBUrcMjcdSMNcAf/6gmFNdfzNTn6x3rZcba69D8L+BFNrGt8UbRrG7SzefyiFf5+g+l3rUTkvBWksgoli0LB7wR9EUrPoMxJAWHzGsmrQa0Yfo7PlrMbr94Duxxlct+WRZF2c3u0fzJOHPJLfeNZvuvO35O444RI4XHaatun6nTh414ELseRJt2s3SBogKJkTQel17+fEA+1Xnx11xWEZ85BjVqaak4Isx59SksHUx+vrNMOmkzIGjrvfIGRHv2Rn2KFzboFmyZJzh1yGs6Etc/AZVFUPIQOhfRzPwiEn9LvBU2ew5WSCIKc3nfRawni/Ri8ooSNowKvPWl/ZHdljPw9SXGvLYR9tgnS537FUmhENLgqB2E5EJM4vJWiAZ/nBGh9VXzFv4zZghzxcJguMtEAOzxSW6BYZP1dcCxqe3P3KxgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4521,"cache_read_input_tokens":92752,"cache_creation":{"ephemeral_5m_input_tokens":4521,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1e4609d7-a71d-43bc-990f-2943ed67cfbf"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAG36TZkaPeG5hEycEp","type":"message","role":"assistant","content":[{"type":"text","text":"Vague 1 complète (sithotels + origine + table des moteurs). Je lance la vague 2 : connecteurs génériques Mews (121 hôtels) et Reservit (247 hôtels)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4521,"cache_read_input_tokens":92752,"cache_creation":{"ephemeral_5m_input_tokens":4521,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c462a64e-1f84-498d-8632-071e11d70cd5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAG36TZkaPeG5hEycEp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bs5WPUqFroJyXRmiZt5tsF","name":"TodoWrite","input":{"todos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"completed","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques mews (121) + reservit (247)","status":"in_progress","activeForm":"Implémentation vague 2 hôtels"},{"content":"Filtre anti-doublons sithotels (hôtels couverts par mews/reservit) + CTA hôtels","status":"pending","activeForm":"Anti-doublons et CTA hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":4521,"cache_read_input_tokens":92752,"cache_creation":{"ephemeral_5m_input_tokens":4521,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9e6eb607-b222-4eb5-8142-35e953852752"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bs5WPUqFroJyXRmiZt5tsF","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"812287d5-dab7-4d4c-9e1d-3cff053d907c","timestamp":"2026-08-25T21:16:14.132Z","tool_use_result":{"oldTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"in_progress","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques reservit/mews (+ jaro, gouverneur si rentable)","status":"pending","activeForm":"Implémentation vague 2 hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"newTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"completed","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques mews (121) + reservit (247)","status":"in_progress","activeForm":"Implémentation vague 2 hôtels"},{"content":"Filtre anti-doublons sithotels (hôtels couverts par mews/reservit) + CTA hôtels","status":"pending","activeForm":"Anti-doublons et CTA hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"755921cb-7518-4187-85b8-48fd3822dd5a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAGtDweU4sdSxNDLNTp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","name":"Agent","input":{"description":"Connecteur CT mews (121 hôtels)","subagent_type":"general-purpose","run_in_background":true,"prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `mews` — **121 hôtels québécois** qui réservent en direct via le moteur Mews.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/mews.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"mews\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier vient d'être écrit et parse le dataset SIT officiel).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (« Hôtel »/« Motel »/« Auberge » canoniques), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` normalise. Base : `self.get(url)` (escalade anti-bot), `self.detail(external_id, key, fetch_fn)` (cache TTL dans louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids, booking_url}]}`. Les 121 entrées `engine == \"mews\"` ont toutes `engine_ids.distributor` (GUID). Exemples vérifiés : BALNEA `e2b2102b-2f15-425c-9a56-b3000177255b`, Hôtel Griffintown `66af42b6-02a5-4ccb-a67e-b27400ec99ec`, aussi Le Concorde, Hôtel Universel RDL, Monastère des Augustines.\n\n## Le moteur Mews\nLe « distributor » Mews (`app.mews.com/distributor/`) est un widget de résa dont l'API JSON est PUBLIQUE et documentée (Mews Distributor API) : endpoints du genre `https://api.mews.com/api/distributor/v1/configurations/get` (POST JSON `{\"Ids\": [\"\"]}` ou similaire), qui renvoie l'hôtel (nom, adresse, géoloc, devise, images sur le CDN Mews), ses catégories de chambres (occupancy, lits, descriptions, photos) et via d'autres endpoints la dispo/les prix par date. EXPLORE l'API réelle : charge la page distributor d'un GUID vérifié, regarde les XHR/le bundle JS pour confirmer les endpoints et payloads exacts, puis reste en JSON pur (pas de navigateur dans le connecteur).\n\n## Mapping (1 fiche StListing par HÔTEL, pas par chambre)\n- `external_id` = GUID distributor ; `url` = `booking_url` du roster (la page distributor) — c'est le lien de résa directe.\n- `title`, `address`, `city`, lat/lng, images (galerie hôtel + photos de chambres, cap ~40), description depuis la config Mews (préférer le français si localisé).\n- `region`, `citq` : depuis le roster (join par GUID) ; complète city si absente.\n- `price_night` : interroge la dispo pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) et prends le tarif minimum toutes catégories ; `price_label` = « À partir de X $ / nuit ». Si aucun prix retourné → None (fiche quand même).\n- `capacity` : occupation max de la PLUS GRANDE catégorie de chambre (c'est une info par unité, cohérente avec le sens du champ) ; nb de catégories dans `details[\"room_types\"]`.\n- `property_type` : « Hôtel » sauf si le nom dit motel/auberge.\n- Utilise `self.detail(guid, \"v1\", fetch_fn)` pour cacher la config par hôtel ; la dispo/prix par contre doit être fraîche à chaque sync (pas de cache), c'est 1-2 requêtes par hôtel × 121 — acceptable sans budget. Prévois quand même un circuit breaker (arrêt des requêtes prix après ~10 échecs consécutifs, fiches sans prix ensuite).\n- Robustesse : un GUID mort/API changée ne doit jamais faire planter fetch() — try/except par hôtel, log `[mews] ...` sur stderr comme les autres connecteurs.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (entrée `mews` déjà ajoutée), ni `schema.py`, ni les autres connecteurs.\n- NE PAS lancer `run.py sync-ct` (campagne en cours) ; NE PAS écrire dans `data/louka_ct.db` (tests avec `use_detail_cache = False`).\n- NE PAS committer/pusher — je m'en charge après intégration.\n- Tests : `.venv/bin/python`, instancier, restreindre le roster à ~5 GUID vérifiés (patch dans le test, pas dans le code), imprimer les StListing complets après finalize() (titre, prix, ville/région, nb photos, capacity). Vérifier l'import auto-découverte.\n\nRapport final (≤300 mots) : endpoints/payloads exacts trouvés, résultats des 5 fiches test (avec prix), taux de champs remplis attendu, pièges."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":887,"cache_read_input_tokens":97273,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c961d1b9-4ab8-4ae6-abe7-ba29ac0413fe"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Connecteur CT mews (121 hôtels)","task_type":"local_agent","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `mews` — **121 hôtels québécois** qui réservent en direct via le moteur Mews.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/mews.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"mews\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier vient d'être écrit et parse le dataset SIT officiel).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (« Hôtel »/« Motel »/« Auberge » canoniques), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` normalise. Base : `self.get(url)` (escalade anti-bot), `self.detail(external_id, key, fetch_fn)` (cache TTL dans louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids, booking_url}]}`. Les 121 entrées `engine == \"mews\"` ont toutes `engine_ids.distributor` (GUID). Exemples vérifiés : BALNEA `e2b2102b-2f15-425c-9a56-b3000177255b`, Hôtel Griffintown `66af42b6-02a5-4ccb-a67e-b27400ec99ec`, aussi Le Concorde, Hôtel Universel RDL, Monastère des Augustines.\n\n## Le moteur Mews\nLe « distributor » Mews (`app.mews.com/distributor/`) est un widget de résa dont l'API JSON est PUBLIQUE et documentée (Mews Distributor API) : endpoints du genre `https://api.mews.com/api/distributor/v1/configurations/get` (POST JSON `{\"Ids\": [\"\"]}` ou similaire), qui renvoie l'hôtel (nom, adresse, géoloc, devise, images sur le CDN Mews), ses catégories de chambres (occupancy, lits, descriptions, photos) et via d'autres endpoints la dispo/les prix par date. EXPLORE l'API réelle : charge la page distributor d'un GUID vérifié, regarde les XHR/le bundle JS pour confirmer les endpoints et payloads exacts, puis reste en JSON pur (pas de navigateur dans le connecteur).\n\n## Mapping (1 fiche StListing par HÔTEL, pas par chambre)\n- `external_id` = GUID distributor ; `url` = `booking_url` du roster (la page distributor) — c'est le lien de résa directe.\n- `title`, `address`, `city`, lat/lng, images (galerie hôtel + photos de chambres, cap ~40), description depuis la config Mews (préférer le français si localisé).\n- `region`, `citq` : depuis le roster (join par GUID) ; complète city si absente.\n- `price_night` : interroge la dispo pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) et prends le tarif minimum toutes catégories ; `price_label` = « À partir de X $ / nuit ». Si aucun prix retourné → None (fiche quand même).\n- `capacity` : occupation max de la PLUS GRANDE catégorie de chambre (c'est une info par unité, cohérente avec le sens du champ) ; nb de catégories dans `details[\"room_types\"]`.\n- `property_type` : « Hôtel » sauf si le nom dit motel/auberge.\n- Utilise `self.detail(guid, \"v1\", fetch_fn)` pour cacher la config par hôtel ; la dispo/prix par contre doit être fraîche à chaque sync (pas de cache), c'est 1-2 requêtes par hôtel × 121 — acceptable sans budget. Prévois quand même un circuit breaker (arrêt des requêtes prix après ~10 échecs consécutifs, fiches sans prix ensuite).\n- Robustesse : un GUID mort/API changée ne doit jamais faire planter fetch() — try/except par hôtel, log `[mews] ...` sur stderr comme les autres connecteurs.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (entrée `mews` déjà ajoutée), ni `schema.py`, ni les autres connecteurs.\n- NE PAS lancer `run.py sync-ct` (campagne en cours) ; NE PAS écrire dans `data/louka_ct.db` (tests avec `use_detail_cache = False`).\n- NE PAS committer/pusher — je m'en charge après intégration.\n- Tests : `.venv/bin/python`, instancier, restreindre le roster à ~5 GUID vérifiés (patch dans le test, pas dans le code), imprimer les StListing complets après finalize() (titre, prix, ville/région, nb photos, capacity). Vérifier l'import auto-découverte.\n\nRapport final (≤300 mots) : endpoints/payloads exacts trouvés, résultats des 5 fiches test (avec prix), taux de champs remplis attendu, pièges.","uuid":"f89cd7a7-7bb1-454b-b93a-d134b63ce46a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: aba22b3f4e3c8a82b (internal ID - do not mention to user. Use SendMessage with to: 'aba22b3f4e3c8a82b' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/aba22b3f4e3c8a82b.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"071e8089-3714-4492-a386-89c72f214cd8","timestamp":"2026-08-25T21:16:49.127Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"aba22b3f4e3c8a82b","description":"Connecteur CT mews (121 hôtels)","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `mews` — **121 hôtels québécois** qui réservent en direct via le moteur Mews.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/mews.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"mews\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier vient d'être écrit et parse le dataset SIT officiel).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type (« Hôtel »/« Motel »/« Auberge » canoniques), address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. `finalize()` normalise. Base : `self.get(url)` (escalade anti-bot), `self.detail(external_id, key, fetch_fn)` (cache TTL dans louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids, booking_url}]}`. Les 121 entrées `engine == \"mews\"` ont toutes `engine_ids.distributor` (GUID). Exemples vérifiés : BALNEA `e2b2102b-2f15-425c-9a56-b3000177255b`, Hôtel Griffintown `66af42b6-02a5-4ccb-a67e-b27400ec99ec`, aussi Le Concorde, Hôtel Universel RDL, Monastère des Augustines.\n\n## Le moteur Mews\nLe « distributor » Mews (`app.mews.com/distributor/`) est un widget de résa dont l'API JSON est PUBLIQUE et documentée (Mews Distributor API) : endpoints du genre `https://api.mews.com/api/distributor/v1/configurations/get` (POST JSON `{\"Ids\": [\"\"]}` ou similaire), qui renvoie l'hôtel (nom, adresse, géoloc, devise, images sur le CDN Mews), ses catégories de chambres (occupancy, lits, descriptions, photos) et via d'autres endpoints la dispo/les prix par date. EXPLORE l'API réelle : charge la page distributor d'un GUID vérifié, regarde les XHR/le bundle JS pour confirmer les endpoints et payloads exacts, puis reste en JSON pur (pas de navigateur dans le connecteur).\n\n## Mapping (1 fiche StListing par HÔTEL, pas par chambre)\n- `external_id` = GUID distributor ; `url` = `booking_url` du roster (la page distributor) — c'est le lien de résa directe.\n- `title`, `address`, `city`, lat/lng, images (galerie hôtel + photos de chambres, cap ~40), description depuis la config Mews (préférer le français si localisé).\n- `region`, `citq` : depuis le roster (join par GUID) ; complète city si absente.\n- `price_night` : interroge la dispo pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) et prends le tarif minimum toutes catégories ; `price_label` = « À partir de X $ / nuit ». Si aucun prix retourné → None (fiche quand même).\n- `capacity` : occupation max de la PLUS GRANDE catégorie de chambre (c'est une info par unité, cohérente avec le sens du champ) ; nb de catégories dans `details[\"room_types\"]`.\n- `property_type` : « Hôtel » sauf si le nom dit motel/auberge.\n- Utilise `self.detail(guid, \"v1\", fetch_fn)` pour cacher la config par hôtel ; la dispo/prix par contre doit être fraîche à chaque sync (pas de cache), c'est 1-2 requêtes par hôtel × 121 — acceptable sans budget. Prévois quand même un circuit breaker (arrêt des requêtes prix après ~10 échecs consécutifs, fiches sans prix ensuite).\n- Robustesse : un GUID mort/API changée ne doit jamais faire planter fetch() — try/except par hôtel, log `[mews] ...` sur stderr comme les autres connecteurs.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (entrée `mews` déjà ajoutée), ni `schema.py`, ni les autres connecteurs.\n- NE PAS lancer `run.py sync-ct` (campagne en cours) ; NE PAS écrire dans `data/louka_ct.db` (tests avec `use_detail_cache = False`).\n- NE PAS committer/pusher — je m'en charge après intégration.\n- Tests : `.venv/bin/python`, instancier, restreindre le roster à ~5 GUID vérifiés (patch dans le test, pas dans le code), imprimer les StListing complets après finalize() (titre, prix, ville/région, nb photos, capacity). Vérifier l'import auto-découverte.\n\nRapport final (≤300 mots) : endpoints/payloads exacts trouvés, résultats des 5 fiches test (avec prix), taux de champs remplis attendu, pièges.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/aba22b3f4e3c8a82b.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running List shortterm connectors","usage":{"total_tokens":23030,"tool_uses":1,"duration_ms":3993},"last_tool_name":"Bash","uuid":"06b44319-8caa-4e50-9d77-e5e07f7e1615","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Reading louka/shortterm/connectors/base.py","usage":{"total_tokens":23070,"tool_uses":3,"duration_ms":5572},"last_tool_name":"Read","uuid":"aaaa9109-cbc6-4b94-bee3-190a6c8547aa","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Inspect mews entries in roster","usage":{"total_tokens":39055,"tool_uses":6,"duration_ms":15679},"last_tool_name":"Bash","uuid":"d2991d34-6f4f-4e6a-b71e-134b7c518006","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Reading louka/shortterm/connectors/boraboreal.py","usage":{"total_tokens":29742,"tool_uses":5,"duration_ms":9626},"last_tool_name":"Read","uuid":"91892fb2-227f-4dec-9c1f-c2025142c53f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Reading louka/shortterm/connectors/sithotels.py","usage":{"total_tokens":29725,"tool_uses":4,"duration_ms":9379},"last_tool_name":"Read","uuid":"2ee92aa0-8198-432a-8a81-48b8a03f5f54","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Reading louka/connectors/base.py","usage":{"total_tokens":39058,"tool_uses":7,"duration_ms":15713},"last_tool_name":"Read","uuid":"2c36ed8a-9928-4ecd-92b9-9c205b3ec76c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Probe Mews distributor configurations/get endpoint","usage":{"total_tokens":44617,"tool_uses":8,"duration_ms":25269},"last_tool_name":"Bash","uuid":"e0d75489-1ad8-41eb-9c27-5754a2698855","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Reading louka/shortterm/schema.py","usage":{"total_tokens":23050,"tool_uses":2,"duration_ms":4739},"last_tool_name":"Read","uuid":"db273267-b826-4c71-9c33-c3498f8dc42f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Fetch Mews distributor page HTML","usage":{"total_tokens":44622,"tool_uses":9,"duration_ms":25983},"last_tool_name":"Bash","uuid":"c4b37cab-0c66-4860-9ca0-e3e6185f0a2e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAGtDweU4sdSxNDLNTp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01D3DFuMonkXKUoNMaeUpyre","name":"Agent","input":{"description":"Connecteur CT reservit (247 hôtels)","subagent_type":"general-purpose","run_in_background":true,"prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `reservit` — **247 hôtels québécois** qui réservent en direct via le moteur Reservit (Interface Technologies), le moteur dominant de l'hôtellerie indépendante au Québec.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/reservit.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"reservit\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier parse le dataset SIT officiel des 1 910 hôtels, réutilise ses helpers si utile en l'important).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. Base : `self.get(url)` (direct + escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.scrapfly(url)`, `self.detail(external_id, key, fetch_fn)` (cache TTL louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites des hôtels)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids: {custid, hotelid}, booking_url}]}`. 247 entrées `engine==\"reservit\"` avec `hotelid` (208 sur `custid=58`, le distributeur commun Québec ; ignore les ~31 sans hotelid). Le dataset SIT (via les helpers de sithotels.py, join par sit_id) fournit adresse/géoloc/CITQ/services de chaque hôtel.\n\n## Ce qu'on sait de Reservit (reconnaissance vérifiée)\n- URL de résa moderne : `https://secure.reservit.com/fo/booking///dates?langcode=FR` (aussi `/engine/booking/...`). Vérifiés 200 : Monastère des Augustines `249619`, Hôtel L'Oie des Neiges `466107`, Econo-One `220082` (tous custid 58).\n- Le front est une SPA Angular ; base API extraite du bundle : `https://secure.reservit.com/api/rs/` (+ `/api/rs/secure/`). Les routes exactes ne se devinent pas à froid (probes 404) — EXPLORE : télécharge le bundle JS de la SPA et greppe les chemins d'API (`api/rs/...`), et/ou regarde les XHR. Objectif : un endpoint JSON hôtel (infos, photos) et un endpoint dispo/prix par dates.\n- **Voie de repli vérifiée** : l'ancien widget `https://secure.reservit.com/rsl/booking/indexmodal.php?customerid=&lang=FR` est RENDU SERVEUR (~190 Ko HTML, classes `paymentprice`, `offer-option-item-price` → chambres + prix scrapables en curl). Exemple vérifié : Ripplecove `customerid=2274`. ⚠️ le `customerid` du widget n'est PAS forcément le `hotelid` moderne — vérifie sur 2-3 hôtels du roster si indexmodal marche avec leur hotelid.\n- Stratégie : privilégie la voie qui marche pour la MAJORITÉ des 247 hotelids ; peu importe laquelle. Si les prix live sont inaccessibles proprement pour certains hôtels, produis quand même la fiche sans prix (les métadonnées SIT + le booking_url direct ont déjà de la valeur).\n\n## Mapping (1 fiche StListing par HÔTEL)\n- `external_id` = hotelid ; `url` = booking_url du roster (résa directe).\n- `title/address/city/region/citq/lat/lng/amenities/pets` : depuis le join SIT (comme sithotels) ; complété/écrasé par ce que l'API Reservit donne de mieux (photos notamment — le widget/l'API expose souvent des photos de chambres).\n- `price_night` : tarif minimum pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) ; `price_label` = « À partir de X $ / nuit ». Prix frais à chaque sync (pas de cache) ; les infos statiques hôtel via `self.detail(hotelid, \"v1\", fetch_fn)`.\n- Budget : 247 hôtels × 1-2 requêtes prix par sync, c'est beaucoup — implémente un budget par run `LOUKA_RESERVIT_DETAIL_LIMIT` (défaut 250) sur les requêtes coûteuses SI elles s'avèrent lentes/fragiles, et un circuit breaker (~10 échecs consécutifs → plus de requêtes prix, fiches sans prix).\n- `property_type` via le nom (motel > auberge > hôtel). Robustesse : try/except par hôtel, log `[reservit] ...` sur stderr.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (entrée `reservit` déjà ajoutée), ni `schema.py`, ni les autres connecteurs, ni `sithotels.py`.\n- NE PAS lancer `run.py sync-ct` ; NE PAS écrire dans `data/louka_ct.db` (tests avec `use_detail_cache = False`).\n- NE PAS committer/pusher — je m'en charge.\n- Scrapfly autorisé avec parcimonie pour l'exploration, mais le connecteur doit viser le direct (secure.reservit.com n'a pas d'anti-bot agressif connu).\n- Tests : `.venv/bin/python`, roster restreint à ~5 hotelids vérifiés (patch dans le test), imprimer les StListing complets après finalize(). Vérifier l'import auto-découverte.\n\nRapport final (≤300 mots) : voie retenue (API moderne vs widget), endpoints exacts, correspondance customerid/hotelid, résultats des 5 fiches test avec prix, taux de réussite attendu sur 247, pièges."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":887,"cache_read_input_tokens":97273,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3dddccd4-e671-45f8-8510-a2dcf3809633"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Connecteur CT reservit (247 hôtels)","task_type":"local_agent","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `reservit` — **247 hôtels québécois** qui réservent en direct via le moteur Reservit (Interface Technologies), le moteur dominant de l'hôtellerie indépendante au Québec.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/reservit.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"reservit\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier parse le dataset SIT officiel des 1 910 hôtels, réutilise ses helpers si utile en l'important).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. Base : `self.get(url)` (direct + escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.scrapfly(url)`, `self.detail(external_id, key, fetch_fn)` (cache TTL louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites des hôtels)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids: {custid, hotelid}, booking_url}]}`. 247 entrées `engine==\"reservit\"` avec `hotelid` (208 sur `custid=58`, le distributeur commun Québec ; ignore les ~31 sans hotelid). Le dataset SIT (via les helpers de sithotels.py, join par sit_id) fournit adresse/géoloc/CITQ/services de chaque hôtel.\n\n## Ce qu'on sait de Reservit (reconnaissance vérifiée)\n- URL de résa moderne : `https://secure.reservit.com/fo/booking///dates?langcode=FR` (aussi `/engine/booking/...`). Vérifiés 200 : Monastère des Augustines `249619`, Hôtel L'Oie des Neiges `466107`, Econo-One `220082` (tous custid 58).\n- Le front est une SPA Angular ; base API extraite du bundle : `https://secure.reservit.com/api/rs/` (+ `/api/rs/secure/`). Les routes exactes ne se devinent pas à froid (probes 404) — EXPLORE : télécharge le bundle JS de la SPA et greppe les chemins d'API (`api/rs/...`), et/ou regarde les XHR. Objectif : un endpoint JSON hôtel (infos, photos) et un endpoint dispo/prix par dates.\n- **Voie de repli vérifiée** : l'ancien widget `https://secure.reservit.com/rsl/booking/indexmodal.php?customerid=&lang=FR` est RENDU SERVEUR (~190 Ko HTML, classes `paymentprice`, `offer-option-item-price` → chambres + prix scrapables en curl). Exemple vérifié : Ripplecove `customerid=2274`. ⚠️ le `customerid` du widget n'est PAS forcément le `hotelid` moderne — vérifie sur 2-3 hôtels du roster si indexmodal marche avec leur hotelid.\n- Stratégie : privilégie la voie qui marche pour la MAJORITÉ des 247 hotelids ; peu importe laquelle. Si les prix live sont inaccessibles proprement pour certains hôtels, produis quand même la fiche sans prix (les métadonnées SIT + le booking_url direct ont déjà de la valeur).\n\n## Mapping (1 fiche StListing par HÔTEL)\n- `external_id` = hotelid ; `url` = booking_url du roster (résa directe).\n- `title/address/city/region/citq/lat/lng/amenities/pets` : depuis le join SIT (comme sithotels) ; complété/écrasé par ce que l'API Reservit donne de mieux (photos notamment — le widget/l'API expose souvent des photos de chambres).\n- `price_night` : tarif minimum pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) ; `price_label` = « À partir de X $ / nuit ». Prix frais à chaque sync (pas de cache) ; les infos statiques hôtel via `self.detail(hotelid, \"v1\", fetch_fn)`.\n- Budget : 247 hôtels × 1-2 requêtes prix par sync, c'est beaucoup — implémente un budget par run `LOUKA_RESERVIT_DETAIL_LIMIT` (défaut 250) sur les requêtes coûteuses SI elles s'avèrent lentes/fragiles, et un circuit breaker (~10 échecs consécutifs → plus de requêtes prix, fiches sans prix).\n- `property_type` via le nom (motel > auberge > hôtel). Robustesse : try/except par hôtel, log `[reservit] ...` sur stderr.\n\n## Interdits / précautions\n- NE PAS modifier `data/sources_ct.json` (entrée `reservit` déjà ajoutée), ni `schema.py`, ni les autres connecteurs, ni `sithotels.py`.\n- NE PAS lancer `run.py sync-ct` ; NE PAS écrire dans `data/louka_ct.db` (tests avec `use_detail_cache = False`).\n- NE PAS committer/pusher — je m'en charge.\n- Scrapfly autorisé avec parcimonie pour l'exploration, mais le connecteur doit viser le direct (secure.reservit.com n'a pas d'anti-bot agressif connu).\n- Tests : `.venv/bin/python`, roster restreint à ~5 hotelids vérifiés (patch dans le test), imprimer les StListing complets après finalize(). Vérifier l'import auto-découverte.\n\nRapport final (≤300 mots) : voie retenue (API moderne vs widget), endpoints exacts, correspondance customerid/hotelid, résultats des 5 fiches test avec prix, taux de réussite attendu sur 247, pièges.","uuid":"b85b35ee-2d18-4841-ab3a-ee1c03f5d745","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully.\nagentId: a3549cfe6621629b6 (internal ID - do not mention to user. Use SendMessage with to: 'a3549cfe6621629b6' to continue this agent.)\nThe agent is working in the background. You will be notified automatically when it completes.\nDo not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a3549cfe6621629b6.output\nDo NOT Read or Bash tail this file — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification."}]}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"51c02c85-30ce-4d86-aacf-f9e8cafde26a","timestamp":"2026-08-25T21:17:15.116Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a3549cfe6621629b6","description":"Connecteur CT reservit (247 hôtels)","prompt":"Tu travailles dans le repo /Users/simon-pierreboucher/apps/lou-ka (site Lou-Ka, annonces de location au Québec). Mission : ÉCRIRE le connecteur court terme générique `reservit` — **247 hôtels québécois** qui réservent en direct via le moteur Reservit (Interface Technologies), le moteur dominant de l'hôtellerie indépendante au Québec.\n\n## Contexte\nSous-système court terme : `louka/shortterm/`. Un connecteur = un fichier `louka/shortterm/connectors/reservit.py`, classe héritant de `StConnector` (`from .base import StConnector`), `source_id = \"reservit\"`, méthode `fetch() -> list[StListing]` (`from ..schema import StListing`). Auto-découverte par introspection. Lis 2-3 connecteurs existants pour le style (`boraboreal.py`, `sithotels.py` — ce dernier parse le dataset SIT officiel des 1 910 hôtels, réutilise ses helpers si utile en l'important).\n\n`StListing` (voir `louka/shortterm/schema.py`) : source, external_id, url, title, property_type, address, city, region, price_night, price_label, capacity, bedrooms, beds, bathrooms, pets, citq, rating, reviews, description, amenities[], details{}, images[], lat, lng. Base : `self.get(url)` (direct + escalade anti-bot Oxylabs→Scrapfly→Bright Data), `self.scrapfly(url)`, `self.detail(external_id, key, fetch_fn)` (cache TTL louka_ct.db).\n\n## Le roster (déjà collecté — NE PAS re-sonder les sites des hôtels)\n`data/hotels_engines.json` : `{\"hotels\": [{sit_id, citq, name, city, region, website, engine, engine_ids: {custid, hotelid}, booking_url}]}`. 247 entrées `engine==\"reservit\"` avec `hotelid` (208 sur `custid=58`, le distributeur commun Québec ; ignore les ~31 sans hotelid). Le dataset SIT (via les helpers de sithotels.py, join par sit_id) fournit adresse/géoloc/CITQ/services de chaque hôtel.\n\n## Ce qu'on sait de Reservit (reconnaissance vérifiée)\n- URL de résa moderne : `https://secure.reservit.com/fo/booking///dates?langcode=FR` (aussi `/engine/booking/...`). Vérifiés 200 : Monastère des Augustines `249619`, Hôtel L'Oie des Neiges `466107`, Econo-One `220082` (tous custid 58).\n- Le front est une SPA Angular ; base API extraite du bundle : `https://secure.reservit.com/api/rs/` (+ `/api/rs/secure/`). Les routes exactes ne se devinent pas à froid (probes 404) — EXPLORE : télécharge le bundle JS de la SPA et greppe les chemins d'API (`api/rs/...`), et/ou regarde les XHR. Objectif : un endpoint JSON hôtel (infos, photos) et un endpoint dispo/prix par dates.\n- **Voie de repli vérifiée** : l'ancien widget `https://secure.reservit.com/rsl/booking/indexmodal.php?customerid=&lang=FR` est RENDU SERVEUR (~190 Ko HTML, classes `paymentprice`, `offer-option-item-price` → chambres + prix scrapables en curl). Exemple vérifié : Ripplecove `customerid=2274`. ⚠️ le `customerid` du widget n'est PAS forcément le `hotelid` moderne — vérifie sur 2-3 hôtels du roster si indexmodal marche avec leur hotelid.\n- Stratégie : privilégie la voie qui marche pour la MAJORITÉ des 247 hotelids ; peu importe laquelle. Si les prix live sont inaccessibles proprement pour certains hôtels, produis quand même la fiche sans prix (les métadonnées SIT + le booking_url direct ont déjà de la valeur).\n\n## Mapping (1 fiche StListing par HÔTEL)\n- `external_id` = hotelid ; `url` = booking_url du roster (résa directe).\n- `title/address/city/region/citq/lat/lng/amenities/pets` : depuis le join SIT (comme sithotels) ; complété/écrasé par ce que l'API Reservit donne de mieux (photos notamment — le widget/l'API expose souvent des photos de chambres).\n- `price_night` : tarif minimum pour un séjour témoin (arrivée ~21 jours devant, 1 nuit, 2 adultes) ; `price_label` = « À partir de X $ / nuit ». Prix frais à chaque sync (pas de cache) ; les infos statiques hôtel via `self.detail(hotelid, \"v1\", fetch_fn)`.\n- Budget : 247 hôtels × 1-2 requêtes prix par sync, c'est beaucoup — implémente un budget par run `LOUKA_RESERVIT_DETAIL_LIMIT` (défaut 250) sur les requêtes coûteuses SI elles s'avèrent lentes/fragiles, et un circuit breaker (~10 échecs consécutifs → plus de requêtes prix, fiches sans prix).\n- `property_type` via le nom (motel > auberge > hôtel). 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-----------------------------------------------------------------------------\n// Lou-Ka — Location court terme (chalets, séjours, hébergements)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// ctapi.ts : types + client API /api/ct/* — sous-système séparé du long terme.\n// -----------------------------------------------------------------------------\n\nexport interface CtDetails {\n spa?: boolean;\n pool?: boolean;\n waterfront?: boolean;\n sauna?: boolean;\n wifi?: boolean;\n fireplace?: boolean;\n ev_charger?: boolean;\n [k: string]: unknown;\n}\n\nexport interface CtListing {\n uid: string;\n source: string;\n external_id: string;\n url: string;\n title: string;\n property_type: string;\n address: string;\n city: string;\n region: string;\n price_night: number | null;\n price_label: string;\n capacity: number | null;\n bedrooms: number | null;\n beds: number | null;\n bathrooms: number | null;\n pets: string | null; // \"oui\" | \"non\" | \"conditions\"\n citq: string | null; // numéro d'enregistrement CITQ\n rating: number | null; // sur 5\n reviews: number | null;\n description: string;\n amenities: string[];\n details: CtDetails;\n images: string[];\n lat: number | null;\n lng: number | null;\n first_seen?: number;\n last_seen?: number;\n active?: number;\n}\n\nexport interface CtFacets {\n regions: { region: string; n: number }[];\n types: { type: string; n: number }[];\n sources: { source: string; n: number }[];\n}\n\nexport interface CtStats {\n total: number;\n sources: number;\n regions: number;\n avg_night: number | null;\n geocoded: number;\n}\n\nexport interface CtSource {\n id: string;\n name: string;\n url: string;\n category: string;\n status?: string;\n connector: boolean;\n active_listings: number;\n last_sync: number | null;\n}\n\nexport interface CtFilters {\n region?: string;\n city?: string;\n type?: string;\n source?: string;\n price_min?: string;\n price_max?: string;\n capacity_min?: string;\n bedrooms_min?: string;\n pets?: string; // \"oui\"\n spa?: string; // \"1\"\n waterfront?: string; // \"1\"\n q?: string;\n sort?: string; // recent | prix | prix_desc | note\n}\n\nexport interface CtPriceContext {\n segment: string;\n n: number;\n median: number;\n p25: number;\n p75: number;\n deviation: number | null; // (prix − médiane) / médiane\n verdict: \"sous\" | \"dans\" | \"dessus\" | null;\n percentile: number; // position du prix dans le segment (0-100)\n histogram: { x0: number; x1: number; n: number }[];\n}\n\nexport interface CtContext {\n price: CtPriceContext | null;\n similar: (CtListing & { distance_km?: number })[];\n}\n\nconst CT_SOURCE_NAMES: Record = {};\nexport function registerCtSourceNames(sources: CtSource[]) {\n for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;\n}\nexport function ctSourceName(id: string): string {\n return CT_SOURCE_NAMES[id] ?? id;\n}\n\nasync function get(path: string): Promise {\n const ctrl = new AbortController();\n const timer = setTimeout(() => ctrl.abort(), 20000);\n try {\n const res = await fetch(path, { signal: ctrl.signal });\n if (!res.ok) throw new Error(`API ${res.status} — ${path}`);\n return (await res.json()) as T;\n } finally {\n clearTimeout(timer);\n }\n}\n\nexport function fetchCtListings(f: CtFilters, limit?: number, offset?: number) {\n const params = new URLSearchParams();\n for (const [k, v] of Object.entries(f)) if (v) params.set(k, v);\n if (limit != null) params.set(\"limit\", String(limit));\n if (offset) params.set(\"offset\", String(offset));\n return get<{ total: number; count: number; listings: CtListing[] }>(\n `/api/ct/listings?${params}`);\n}\n\nexport const fetchCtListing = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}`);\nexport const fetchCtContext = (uid: string) =>\n get(`/api/ct/listings/${encodeURIComponent(uid)}/context`);\nexport const fetchCtFacets = () => get(\"/api/ct/facets\");\nexport const fetchCtStats = () => get(\"/api/ct/stats\");\nexport const fetchCtSources = () =>\n get<{ sources: CtSource[] }>(\"/api/ct/sources\");\n\nexport const fmtNight = (p: number | null, label?: string) =>\n p != null\n ? `${p.toLocaleString(\"fr-CA\", { maximumFractionDigits: 0 })} $`\n : label || \"Prix sur demande\";\n","structuredPatch":[{"oldStart":105,"oldLines":12,"newStart":105,"newLines":19,"lines":[" }"," "," const CT_SOURCE_NAMES: Record = {};","+const CT_SOURCE_CATS: Record = {};"," export function registerCtSourceNames(sources: CtSource[]) {","- for (const s of sources) CT_SOURCE_NAMES[s.id] = s.name;","+ for (const s of sources) {","+ CT_SOURCE_NAMES[s.id] = s.name;","+ CT_SOURCE_CATS[s.id] = s.category;","+ }"," }"," export function ctSourceName(id: string): string {"," return CT_SOURCE_NAMES[id] ?? id;"," }","+export function ctSourceCategory(id: string): string {","+ return CT_SOURCE_CATS[id] ?? \"\";","+}"," "," async function get(path: string): Promise {"," const ctrl = new 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ctSourceName, fetchCtContext, fetchCtListing,\n fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";","new_string":" CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,\n fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1781,"cache_read_input_tokens":103429,"cache_creation":{"ephemeral_5m_input_tokens":1781,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"53b2a40a-93b9-4039-844d-1999c25b34db"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BnfGVPeRq2agzAaFF7B9qJ","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bccf28d7-5e72-4063-a52e-fea7b9198456","timestamp":"2026-08-25T21:17:42.826Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","oldString":" CtContext, CtListing, ctSourceName, fetchCtContext, fetchCtListing,\n fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";","newString":" CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,\n fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtContext, CtListing, ctSourceName, fetchCtContext, fetchCtListing,\n fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport CtListingCard from \"../components/CtListingCard\";\nimport CtPriceAnalysis, { ctDealBadge } from \"../components/CtPriceAnalysis\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [ctx, setCtx] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n setCtx(null);\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {(() => {\n const badge = ctDealBadge(ctx?.price ?? null);\n return badge && (\n
{badge.txt}
\n );\n })()}\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n \n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n {ctx && ctx.similar.length > 0 && (\n
\n

\n {l.lat != null && ctx.similar[0]?.distance_km != null\n ? \"Hébergements similaires à proximité\"\n : `Hébergements similaires — ${l.region || \"même région\"}`}\n

\n
\n {ctx.similar.map((s) => )}\n
\n
\n )}\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
\n );\n}\n","structuredPatch":[{"oldStart":8,"oldLines":8,"newStart":8,"newLines":8,"lines":[" import { lazy, Suspense, useEffect, useRef, useState } from \"react\";"," import { Link, useParams } from \"react-router-dom\";"," import {","- CtContext, CtListing, ctSourceName, fetchCtContext, fetchCtListing,","- fetchCtSources, fmtNight, registerCtSourceNames,","+ CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,","+ fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,"," } from \"../ctapi\";"," import SmartImg from \"../components/SmartImg\";"," import CtListingCard from \"../components/CtListingCard\";"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a4bc9963-1cd5-427a-8791-c087b5f5d9f3","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Download distributor-app.js and grep API paths","usage":{"total_tokens":48926,"tool_uses":15,"duration_ms":54519},"last_tool_name":"Bash","uuid":"429d600d-b012-4407-bd34-5c3ee8a097d1","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Download main bundle and grep api/rs paths","usage":{"total_tokens":46702,"tool_uses":9,"duration_ms":31685},"last_tool_name":"Bash","uuid":"adf96f32-1e57-48d2-95f0-11db78d2bc92","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAPQvpSQaokK68iHWeW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":370,"cache_read_input_tokens":105210,"cache_creation":{"ephemeral_5m_input_tokens":370,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"50053811-cb2b-4d87-ade5-f33d99c77584"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Grep distributor API paths in app bundle","usage":{"total_tokens":49186,"tool_uses":16,"duration_ms":58579},"last_tool_name":"Bash","uuid":"b12f9912-87ba-4b7c-8864-bf34223ecdca","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAPQvpSQaokK68iHWeW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DRHmVrSGB439EM5TGFHNJF","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","old_string":" const synced = l.last_seen","new_string":" const ctaLabel = ctSourceCategory(l.source) === \"hotels\"\n ? \"Réserver en direct à l'hôtel\"\n : `Réserver chez ${ctSourceName(l.source)}`;\n\n const synced = l.last_seen"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":370,"cache_read_input_tokens":105210,"cache_creation":{"ephemeral_5m_input_tokens":370,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"03394b5e-e80c-45ac-9d02-9b7099e5a55c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DRHmVrSGB439EM5TGFHNJF","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"731763b2-6983-487c-ae3a-1e5e8ffb55af","timestamp":"2026-08-25T21:17:48.674Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","oldString":" const synced = l.last_seen","newString":" const ctaLabel = ctSourceCategory(l.source) === \"hotels\"\n ? \"Réserver en direct à l'hôtel\"\n : `Réserver chez ${ctSourceName(l.source)}`;\n\n const synced = l.last_seen","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,\n fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport CtListingCard from \"../components/CtListingCard\";\nimport CtPriceAnalysis, { ctDealBadge } from \"../components/CtPriceAnalysis\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [ctx, setCtx] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n setCtx(null);\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {(() => {\n const badge = ctDealBadge(ctx?.price ?? null);\n return badge && (\n
{badge.txt}
\n );\n })()}\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n \n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n {ctx && ctx.similar.length > 0 && (\n
\n

\n {l.lat != null && ctx.similar[0]?.distance_km != null\n ? \"Hébergements similaires à proximité\"\n : `Hébergements similaires — ${l.region || \"même région\"}`}\n

\n
\n {ctx.similar.map((s) => )}\n
\n
\n )}\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
\n );\n}\n","structuredPatch":[{"oldStart":133,"oldLines":6,"newStart":133,"newLines":10,"lines":[" const autres = l.amenities.filter("," (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));"," ","+ const ctaLabel = ctSourceCategory(l.source) === \"hotels\"","+ ? \"Réserver en direct à l'hôtel\"","+ : `Réserver chez ${ctSourceName(l.source)}`;","+"," const synced = l.last_seen"," ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {"," day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ad4377a9-3235-4317-bef2-d65e2e6cd4bf","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aba22b3f4e3c8a82b","tool_use_id":"toolu_01HyYGgN8CKQKvcvUHxKrv32","description":"Running Find API-like path strings in bundle","usage":{"total_tokens":49386,"tool_uses":17,"duration_ms":62518},"last_tool_name":"Bash","uuid":"0de8434c-17ef-40ed-966d-cb2c629f3cc6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Grep template literals with api/rs in bundle","usage":{"total_tokens":47169,"tool_uses":10,"duration_ms":39544},"last_tool_name":"Bash","uuid":"7e59299d-1a8c-487f-a140-89e1f83ea049","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAPrEL86EXVCkdzaXCN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Qdm8q27JnAdDn2U9aszhqc","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","old_string":" \n Réserver chez {ctSourceName(l.source)} ↗\n ","new_string":" \n {ctaLabel} ↗\n "},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":449,"cache_read_input_tokens":105580,"cache_creation":{"ephemeral_5m_input_tokens":449,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1dd68d27-865a-4fff-9bd2-d0160a25b5ed"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qdm8q27JnAdDn2U9aszhqc","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"49ea6e8b-d469-4f48-87dd-e7de9bcb5a9e","timestamp":"2026-08-25T21:17:54.692Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","oldString":" \n Réserver chez {ctSourceName(l.source)} ↗\n ","newString":" \n {ctaLabel} ↗\n ","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,\n fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport CtListingCard from \"../components/CtListingCard\";\nimport CtPriceAnalysis, { ctDealBadge } from \"../components/CtPriceAnalysis\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [ctx, setCtx] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n setCtx(null);\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const ctaLabel = ctSourceCategory(l.source) === \"hotels\"\n ? \"Réserver en direct à l'hôtel\"\n : `Réserver chez ${ctSourceName(l.source)}`;\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {(() => {\n const badge = ctDealBadge(ctx?.price ?? null);\n return badge && (\n
{badge.txt}
\n );\n })()}\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n \n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n {ctx && ctx.similar.length > 0 && (\n
\n

\n {l.lat != null && ctx.similar[0]?.distance_km != null\n ? \"Hébergements similaires à proximité\"\n : `Hébergements similaires — ${l.region || \"même région\"}`}\n

\n
\n {ctx.similar.map((s) => )}\n
\n
\n )}\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
\n );\n}\n","structuredPatch":[{"oldStart":182,"oldLines":7,"newStart":182,"newLines":7,"lines":["
"," ","- Réserver chez {ctSourceName(l.source)} ↗","+ {ctaLabel} ↗"," ","
"," "]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQAPrEL86EXVCkdzaXCN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013vMHvuWgWTY5cdCjUDQB7N","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","old_string":" \n Réserver chez {ctSourceName(l.source)} ↗\n ","new_string":" \n {ctaLabel} ↗\n "},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":449,"cache_read_input_tokens":105580,"cache_creation":{"ephemeral_5m_input_tokens":449,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3a48bd2d-1b54-4428-83b1-02d2e778c548"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013vMHvuWgWTY5cdCjUDQB7N","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1fc9268d-c2bd-4c84-be30-277c1acce03a","timestamp":"2026-08-25T21:17:56.173Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/CourtTermeFiche.tsx","oldString":" \n Réserver chez {ctSourceName(l.source)} ↗\n ","newString":" \n {ctaLabel} ↗\n ","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Location court terme\n// pages/CourtTermeFiche.tsx : fiche d'un hébergement court terme.\n// Ordre DOM = ordre visuel, identique mobile ET desktop (standard Groupe Ka\n// « Ordre des sections — pages détail ») : galerie → prix + titre + chips +\n// CTA → description → commodités → détails pratiques → carte.\n// -----------------------------------------------------------------------------\nimport { lazy, Suspense, useEffect, useRef, useState } from \"react\";\nimport { Link, useParams } from \"react-router-dom\";\nimport {\n CtContext, CtListing, ctSourceCategory, ctSourceName, fetchCtContext,\n fetchCtListing, fetchCtSources, fmtNight, registerCtSourceNames,\n} from \"../ctapi\";\nimport SmartImg from \"../components/SmartImg\";\nimport CtListingCard from \"../components/CtListingCard\";\nimport CtPriceAnalysis, { ctDealBadge } from \"../components/CtPriceAnalysis\";\nimport { IcoAlert } from \"../components/Icons\";\n\nconst CtFicheMap = lazy(() => import(\"../components/CtFicheMap\"));\n\nconst NBSP = \" \";\n\nconst PETS_LABEL: Record = {\n oui: \"Animaux acceptés\", non: \"Animaux refusés\", conditions: \"Animaux sous conditions\",\n};\n\nconst DETAIL_LABELS: Record = {\n spa: \"Spa\", pool: \"Piscine\", waterfront: \"Bord de l'eau\", sauna: \"Sauna\",\n wifi: \"Wi-Fi\", fireplace: \"Foyer\", ev_charger: \"Borne de recharge\",\n};\n\nfunction Galerie({ images, titre, typeLabel }:\n { images: string[]; titre: string; typeLabel?: string }) {\n const [idx, setIdx] = useState(0);\n const track = useRef(null);\n\n const onScroll = () => {\n const el = track.current;\n if (el) setIdx(Math.round(el.scrollLeft / el.clientWidth));\n };\n const goto = (i: number) =>\n track.current?.scrollTo({ left: i * track.current.clientWidth, behavior: \"smooth\" });\n\n if (images.length === 0)\n return (\n
\n \n
\n );\n\n return (\n <>\n
\n
\n {images.map((u, i) => (\n \n ))}\n
\n {idx + 1}/{images.length}\n {idx > 0 && (\n \n )}\n {idx < images.length - 1 && (\n \n )}\n
\n {images.length > 1 && (\n
\n {images.map((u, i) => (\n \n ))}\n
\n )}\n \n );\n}\n\nexport default function CourtTermeFichePage() {\n const { uid } = useParams<{ uid: string }>();\n const [l, setL] = useState(null);\n const [ctx, setCtx] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n fetchCtSources().then((r) => registerCtSourceNames(r.sources)).catch(() => {});\n if (!uid) return;\n setCtx(null);\n fetchCtListing(uid).then(setL).catch((e) => setError(String(e)));\n fetchCtContext(uid).then(setCtx).catch(() => setCtx(null));\n window.scrollTo(0, 0);\n }, [uid]);\n\n if (error)\n return (\n
\n
\n

Hébergement introuvable

\n

{error}

\n Retour au court terme\n
\n );\n\n if (!l)\n return (\n
\n
\n
\n
\n
\n
\n );\n\n const chips: string[] = [];\n if (l.property_type) chips.push(l.property_type);\n if (l.capacity) chips.push(`${l.capacity} personnes`);\n if (l.bedrooms) chips.push(`${l.bedrooms} chambre${l.bedrooms > 1 ? \"s\" : \"\"}`);\n if (l.beds) chips.push(`${l.beds} lit${l.beds > 1 ? \"s\" : \"\"}`);\n if (l.bathrooms) chips.push(`${l.bathrooms} salle${l.bathrooms > 1 ? \"s\" : \"\"} de bain`);\n if (l.pets) chips.push(PETS_LABEL[l.pets] ?? l.pets);\n if (l.citq) chips.push(`CITQ ${l.citq}`);\n\n const flags = Object.entries(DETAIL_LABELS)\n .filter(([k]) => l.details?.[k] === true || l.details?.[k] === 1)\n .map(([, label]) => label);\n const autres = l.amenities.filter(\n (a) => !flags.some((b) => b.toLowerCase() === a.toLowerCase()));\n\n const ctaLabel = ctSourceCategory(l.source) === \"hotels\"\n ? \"Réserver en direct à l'hôtel\"\n : `Réserver chez ${ctSourceName(l.source)}`;\n\n const synced = l.last_seen\n ? new Date(l.last_seen * 1000).toLocaleDateString(\"fr-CA\", {\n day: \"numeric\", month: \"long\", year: \"numeric\" }) : null;\n\n return (\n
\n \n\n
\n
\n
\n \n
\n\n
\n
\n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /{NBSP}nuit}\n
\n {(() => {\n const badge = ctDealBadge(ctx?.price ?? null);\n return badge && (\n
{badge.txt}
\n );\n })()}\n {l.rating != null && (\n
\n ★ {l.rating.toLocaleString(\"fr-CA\", { maximumFractionDigits: 1 })} / 5\n {l.reviews ? ` · ${l.reviews} avis` : \"\"}\n
\n )}\n

{l.title}

\n
\n {[l.address, l.city, l.region].filter(Boolean).join(\" · \")}\n
\n
\n {chips.map((c) => {c})}\n
\n \n {ctaLabel} ↗\n \n
\n\n
\n

Description

\n {l.description\n ?

{l.description}

\n :

La source ne fournit pas de description pour cet hébergement.

}\n
\n\n
\n

Commodités

\n
\n {flags.map((b) => (\n ✓ {b}\n ))}\n {autres.map((a) => (\n {a}\n ))}\n
\n {flags.length === 0 && autres.length === 0 && (\n

La source ne précise pas les commodités.

\n )}\n
\n\n
\n

Détails pratiques

\n
\n
Plateforme
{ctSourceName(l.source)}
\n {l.price_label && (\n
Prix affiché
{l.price_label}
\n )}\n {l.citq && (\n
Enregistrement CITQ
{l.citq}
\n )}\n {synced && (\n
Synchronisé
{synced}
\n )}\n
\n {!l.citq && (\n

\n Au Québec, tout séjour de 31 nuits ou moins doit être offert par un\n établissement détenant un numéro d'enregistrement CITQ. Vérifiez le\n numéro affiché sur l'annonce originale avant de réserver.\n

\n )}\n
\n
\n\n
\n \n {l.lat != null && l.lng != null && (\n
\n

Emplacement

\n }>\n \n \n

\n Position approximative selon les coordonnées fournies par la source.\n

\n
\n )}\n
\n
\n\n {ctx && ctx.similar.length > 0 && (\n
\n

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\n
\n {ctx.similar.map((s) => )}\n
\n
\n )}\n\n
\n {synced && <>Dernière synchronisation : {synced}. }\n Les prix et disponibilités sont ceux affichés par la source — chaque fiche\n renvoie à l'annonce originale pour réserver.\n
\n\n
\n \n {fmtNight(l.price_night, l.price_label)}\n {l.price_night != null && /nuit}\n \n \n Réserver chez {ctSourceName(l.source)} ↗\n \n
\n
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J'enrichis la table des moteurs avec la géoloc/adresse SIT pour que les connecteurs génériques en héritent."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":93075,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":93075,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"40a7e4a6-9f5f-4e4e-ab2f-60180e20db45"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBiZ1di2fRJUZ16mZkF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ijmAQLGsAUyoy35DtMYNi","name":"Bash","input":{"command":"grep -n \"^def \\|^class \\|^DATASET\\|^URL\\|_URL\" louka/shortterm/connectors/sithotels.py | head -25","description":"List sithotels helper functions"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":93075,"cache_read_input_tokens":16221,"cache_creation":{"ephemeral_5m_input_tokens":93075,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1baf7c15-1504-4b41-9858-493daea01453"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ijmAQLGsAUyoy35DtMYNi","type":"tool_result","content":"50:DATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n82:def _titre(nom: str) -> str:\n101:def _libelles(rec: dict, key: str) -> list[str]:\n118:def _region(rec: dict) -> str:\n131:def _coordonnees(rec: dict, key: str) -> str:\n139:def _date_fr(iso: str) -> str:\n146:def _property_type(nom: str) -> str:\n155:class SitHotels(StConnector):","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"09697268-0cac-48c6-b59a-e2d7352a003d","timestamp":"2026-08-25T21:35:29.276Z","tool_use_result":{"stdout":"50:DATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n82:def _titre(nom: str) -> str:\n101:def _libelles(rec: dict, key: str) -> list[str]:\n118:def _region(rec: dict) -> str:\n131:def _coordonnees(rec: dict, key: str) -> str:\n139:def _date_fr(iso: str) -> str:\n146:def _property_type(nom: str) -> str:\n155:class SitHotels(StConnector):","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"07236f2e-ea40-4f3d-8e6b-a4025baa406e","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Inspect reservit roster entries structure","usage":{"total_tokens":45791,"tool_uses":98,"duration_ms":1095133},"last_tool_name":"Bash","uuid":"89240bbe-a5b3-4822-b3fe-b02389596bad","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBk2RBPwdyajEXHEatf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FzVgZyi21XCJ7R4kcAoVTa","name":"Bash","input":{"command":"grep -n \"Geolocalisation\\|lat\\|lng\\|Adresses\" louka/shortterm/connectors/sithotels.py | head -20","description":"See how sithotels extracts geo and address"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1294,"cache_read_input_tokens":109296,"cache_creation":{"ephemeral_5m_input_tokens":1294,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a2ed09b9-bba0-4786-ab07-72acc1f5793c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FzVgZyi21XCJ7R4kcAoVTa","type":"tool_result","content":"12:# 2. Chaque fiche Tourinsoft est un agrégat de blocs (Adresses,\n13:# Geolocalisations, SiteInternets, Unitess, CapaciteMaximaleHebergements,\n170: adresse = (rec.get(\"Adresses\") or [{}])[0]\n175: geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n177: lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n179: lat = lng = None\n320: lat=lat,\n321: lng=lng,","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"276aa194-1b51-43c0-93e0-4a716e7c2ca0","timestamp":"2026-08-25T21:35:33.848Z","tool_use_result":{"stdout":"12:# 2. Chaque fiche Tourinsoft est un agrégat de blocs (Adresses,\n13:# Geolocalisations, SiteInternets, Unitess, CapaciteMaximaleHebergements,\n170: adresse = (rec.get(\"Adresses\") or [{}])[0]\n175: geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n177: lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n179: lat = lng = None\n320: lat=lat,\n321: lng=lng,","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"31450d1f-f0cc-453e-9464-f2bf0df8abad","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBkN4seFmWEucqXFSeK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01APJsBWtPbgEQfQQGfZvjRA","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nimport json, urllib.request\nfrom louka.shortterm.connectors.sithotels import DATASET\n\nraw = json.load(urllib.request.urlopen(urllib.request.Request(\n DATASET, headers={\"User-Agent\": \"Mozilla/5.0\"})))\nrecs = raw.get(\"value\", raw) if isinstance(raw, dict) else raw\n\nsit = {}\nfor rec in recs:\n sid = rec.get(\"SyndicObjectID\")\n if not sid: continue\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n parts = [adresse.get(k) for k in (\"Adresse1\", \"Adresse2\") if adresse.get(k)]\n sit[sid] = {\"lat\": lat, \"lng\": lng, \"address\": \", \".join(p.strip() for p in parts if p and p.strip())}\n\np = \"data/hotels_engines.json\"\nd = json.load(open(p))\nhotels = d[\"hotels\"] if isinstance(d, dict) else d\nn = 0\nfor h in hotels:\n s = sit.get(h.get(\"sit_id\"))\n if s:\n h[\"lat\"], h[\"lng\"], h[\"address\"] = s[\"lat\"], s[\"lng\"], s[\"address\"]\n n += 1\nimport os, tempfile\nfd, tmp = tempfile.mkstemp(dir=\"data\")\nwith os.fdopen(fd, \"w\") as f:\n json.dump(d, f, ensure_ascii=False, indent=1)\nos.replace(tmp, p)\nprint(f\"{n}/{len(hotels)} enrichis lat/lng/adresse\")\nEOF","description":"Enrich hotels_engines.json with SIT geo and address"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":332,"cache_read_input_tokens":110590,"cache_creation":{"ephemeral_5m_input_tokens":332,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"af14794f-7d91-4865-b96c-120abd4b371c"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bcke5mui2","tool_use_id":"toolu_01APJsBWtPbgEQfQQGfZvjRA","description":"Enrich hotels_engines.json with SIT geo and address","task_type":"local_bash","uuid":"c02ae738-721d-4500-84d0-a3de65b8417d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bcke5mui2","tool_use_id":"toolu_01APJsBWtPbgEQfQQGfZvjRA","status":"completed","output_file":"","summary":"Enrich hotels_engines.json with SIT geo and address","uuid":"06e1f256-365d-41fe-80aa-380ed8a64644","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01APJsBWtPbgEQfQQGfZvjRA","type":"tool_result","content":"1174/1174 enrichis lat/lng/adresse","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"90f6d2bf-9fe1-40b6-8461-79c3f87a3b69","timestamp":"2026-08-25T21:35:49.131Z","tool_use_result":{"stdout":"1174/1174 enrichis lat/lng/adresse","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7c8067ca-ca59-49ff-bb8f-3614c3483c72","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Re-inspect cached front.do light JSON structure","usage":{"total_tokens":46577,"tool_uses":99,"duration_ms":1115098},"last_tool_name":"Bash","uuid":"253b4314-72f4-40e0-9fbf-395ab2f524a3","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBmVTu26SNKnZ5SEncG","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":748,"cache_read_input_tokens":110922,"cache_creation":{"ephemeral_5m_input_tokens":748,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a6413e2d-4757-4a9f-98ab-05c54bee99d0"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBmVTu26SNKnZ5SEncG","type":"message","role":"assistant","content":[{"type":"text","text":"Table enrichie (1 174/1 174 avec géoloc + adresse). Je patche `mews.py` pour utiliser ces champs en repli."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":748,"cache_read_input_tokens":110922,"cache_creation":{"ephemeral_5m_input_tokens":748,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"df24e563-aa19-4503-8cea-c3375a29928f"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBmVTu26SNKnZ5SEncG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BDPwPQnTEsHgCgNYu1tq5U","name":"Bash","input":{"command":"grep -n \"roster\\|lat\\|lng\\|address\\|region\\|citq\" louka/shortterm/connectors/mews.py | head -30","description":"Locate roster join in mews connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":748,"cache_read_input_tokens":110922,"cache_creation":{"ephemeral_5m_input_tokens":748,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a7d13b27-a802-45df-b308-aafb0628b941"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BDPwPQnTEsHgCgNYu1tq5U","type":"tool_result","content":"4:# Mews (app.mews.com/distributor/) — 121 établissements du roster\n35:# - external_id = GUID distributor ; url = booking_url du roster (résa directe).\n46:# - region / citq / repli city : join du roster par GUID.\n255: addr = enterprise.get(\"address\") or {}\n308: region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n318: + (f\", dans la région {region}\" if region else \"\")\n330: if hotel.get(\"citq\"):\n332: f\"enregistré (no CITQ {hotel['citq']}).\")\n349: lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n358: address=str(addr.get(\"line1\") or \"\").strip(),\n360: region=region,\n364: citq=str(hotel.get(\"citq\") or \"\").strip(),\n368: lat=float(lat) if lat is not None else None,\n369: lng=float(lng) if lng is not None else None,\n375: roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n377: print(f\"[mews] roster illisible ({ROSTER}) : {exc}\",\n380: hotels = [h for h in roster.get(\"hotels\") or []","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"963d0194-731f-4327-bb63-ca4908de0642","timestamp":"2026-08-25T21:35:54.461Z","tool_use_result":{"stdout":"4:# Mews (app.mews.com/distributor/) — 121 établissements du roster\n35:# - external_id = GUID distributor ; url = booking_url du roster (résa directe).\n46:# - region / citq / repli city : join du roster par GUID.\n255: addr = enterprise.get(\"address\") or {}\n308: region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n318: + (f\", dans la région {region}\" if region else \"\")\n330: if hotel.get(\"citq\"):\n332: f\"enregistré (no CITQ {hotel['citq']}).\")\n349: lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n358: address=str(addr.get(\"line1\") or \"\").strip(),\n360: region=region,\n364: citq=str(hotel.get(\"citq\") or \"\").strip(),\n368: lat=float(lat) if lat is not None else None,\n369: lng=float(lng) if lng is not None else None,\n375: roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n377: print(f\"[mews] roster illisible ({ROSTER}) : {exc}\",\n380: hotels = [h for h in roster.get(\"hotels\") or []","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f7d4abaf-c05b-49da-bf37-6b722646ac52","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Inspect step2 rooms/rates JSON structure","usage":{"total_tokens":49081,"tool_uses":100,"duration_ms":1123031},"last_tool_name":"Bash","uuid":"d7f7ec27-92dc-49cf-a668-e62ed155a868","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBmtGbfeDH943SxpwSC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0195m2ZvDMyWoWPptupQhGzG","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/mews.py","offset":345,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":656,"cache_read_input_tokens":111670,"cache_creation":{"ephemeral_5m_input_tokens":656,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"748c5ec1-793b-457c-b4a5-354481d55ff7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0195m2ZvDMyWoWPptupQhGzG","type":"tool_result","content":"345\t details[\"postal_code\"] = addr[\"postalCode\"]\n346\t if hotel.get(\"website\"):\n347\t details[\"website\"] = hotel[\"website\"]\n348\t\n349\t lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n350\t\n351\t return StListing(\n352\t source=self.source_id,\n353\t external_id=guid,\n354\t url=hotel.get(\"booking_url\")\n355\t or f\"https://app.mews.com/distributor/{guid}\",\n356\t title=title,\n357\t property_type=ptype,\n358\t address=str(addr.get(\"line1\") or \"\").strip(),\n359\t city=city,\n360\t region=region,\n361\t price_night=price,\n362\t price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n363\t capacity=float(capacity) if capacity else None,\n364\t citq=str(hotel.get(\"citq\") or \"\").strip(),\n365\t description=description[:5000],\n366\t details=details,\n367\t images=images,\n368\t lat=float(lat) if lat is not None else None,\n369\t lng=float(lng) if lng is not None else None,\n370\t ), price_error\n371\t\n372\t # -- contrat ----------------------------------------------------------------\n373\t def fetch(self) -> list[StListing]:\n374\t try:"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f207fe9f-1af6-4c21-828b-36aba963d142","timestamp":"2026-08-25T21:35:58.495Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/mews.py","content":" details[\"postal_code\"] = addr[\"postalCode\"]\n if hotel.get(\"website\"):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=str(addr.get(\"line1\") or \"\").strip(),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=float(capacity) if capacity else None,\n citq=str(hotel.get(\"citq\") or \"\").strip(),\n description=description[:5000],\n details=details,\n images=images,\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:","numLines":30,"startLine":345,"totalLines":409}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7c473b99-78a8-4b96-be5a-aa3d878d026f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBnBEZZza5ZSP4arrJm","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HJrHszReeCD6YuzA57NXuG","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/mews.py","old_string":" lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=str(addr.get(\"line1\") or \"\").strip(),","new_string":" # géoloc/adresse : Mews d'abord, sinon repli sur le SIT (via le roster,\n # enrichi lat/lng/address pour les 1 174 hôtels sondés)\n lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n if lat is None or lng is None:\n lat, lng = hotel.get(\"lat\"), hotel.get(\"lng\")\n address = str(addr.get(\"line1\") or \"\").strip() \\\n or str(hotel.get(\"address\") or \"\").strip()\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=address,"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":574,"cache_read_input_tokens":112326,"cache_creation":{"ephemeral_5m_input_tokens":574,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1240dc4e-ae0b-436e-a296-abf671f1df40"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HJrHszReeCD6YuzA57NXuG","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/mews.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"59d7dc0e-320d-407b-b41c-ef08c44954b7","timestamp":"2026-08-25T21:36:06.502Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/mews.py","oldString":" lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=str(addr.get(\"line1\") or \"\").strip(),","newString":" # géoloc/adresse : Mews d'abord, sinon repli sur le SIT (via le roster,\n # enrichi lat/lng/address pour les 1 174 hôtels sondés)\n lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n if lat is None or lng is None:\n lat, lng = hotel.get(\"lat\"), hotel.get(\"lng\")\n address = str(addr.get(\"line1\") or \"\").strip() \\\n or str(hotel.get(\"address\") or \"\").strip()\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=address,","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/mews.py : hôtels québécois en RÉSERVATION DIRECTE via le moteur\n# Mews (app.mews.com/distributor/) — 121 établissements du roster\n# data/hotels_engines.json (engine == \"mews\", GUID dans engine_ids.distributor).\n# 1 fiche StListing par HÔTEL (pas par chambre).\n#\n# API (rétro-ingéniérie du bundle distributor-app.js 5821.0.0, JSON pur) :\n# base POST https://api.mews.com/api/bookingEngine/v1 + corps JSON avec\n# auth ANONYME embarquée dans le payload. En-têtes Origin/Referer\n# app.mews.com OBLIGATOIRES (sinon ~60 % des hôtels : « Operation is not\n# enabled on your current subscription ») :\n# client = \"Mews Distributor 5821.0.0\"\n# session = (token + md5(token+client)).upper() où token = chaque caractère\n# de (4 octets aléatoires hex + nowUtc ISO) encodé en décimal\n# sur 3 chiffres (reproduction exacte du widget).\n# - /configurations/get {ids:[guid], primaryId:guid}\n# → bookingEngines (serviceId, languageCode, currencyCode), services,\n# enterprises (nom/description localisés, adresse, tél, courriel,\n# imageId/introImageId, ianaTimeZoneIdentifier, pricing Net|Gross),\n# ageCategories (Adult/Child par service). CACHE détail « v1 ».\n# - /resourceCategories/getAll {serviceId, extent:{imageAssignments:true}}\n# → catégories de chambres (name/description localisés, normalBedCount,\n# extraBedCount) + imageAssignments (imageId ordonnés). CACHE « v1 ».\n# - /services/getAvailability {serviceId, bookingEngineId, startUtc, endUtc,\n# enterpriseId, fullAmounts:false, languageCode}\n# → dispo par catégorie. ⚠️ startUtc doit être MINUIT LOCAL de l'hôtel\n# converti en UTC (« StartUtc is not start of TimeUnit » sinon) —\n# calculé via zoneinfo(ianaTimeZoneIdentifier). FRAIS à chaque sync.\n# - /services/getPricing {…, occupancyData:[{ageCategoryId, personCount:2}]}\n# → categoryPrices[].occupancyPrices[].rateGroupPrices[].minPrice\n# .totalAmount {grossValue, netValue}. FRAIS à chaque sync.\n#\n# Mapping :\n# - external_id = GUID distributor ; url = booking_url du roster (résa directe).\n# - Séjour témoin : arrivée à J+21, 1 nuit, 2 adultes ; price_night = tarif\n# minimum toutes catégories DISPONIBLES (netValue si pricing Net — l'affichage\n# du widget, taxes en sus — sinon grossValue). Aucun prix → fiche quand même.\n# - capacity = occupation max de la PLUS GRANDE catégorie (normal+extra) ;\n# nb de catégories dans details[\"room_types\"].\n# - Images : photo de l'hôtel + intro + galeries de chambres (cap 40), CDN\n# https://cdn.mews.com/media/image/?quality=85 (vérifié 200).\n# - Textes localisés : fr-CA > fr-* > en-US/en-GB > premier disponible ;\n# description de l'enterprise souvent vide → paragraphe éditorial assemblé\n# à partir des faits (ville/région, catégories, capacité, résa directe).\n# - region / citq / repli city : join du roster par GUID.\n# - Circuit breaker : après 10 échecs consécutifs de sondage prix, les fiches\n# suivantes sortent sans prix (l'API config, cachée, continue seule).\n# - Robustesse : try/except PAR hôtel — un GUID mort ne fait jamais planter\n# fetch() (log [mews] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport hashlib\nimport json\nimport os\nimport sys\nfrom pathlib import Path\nfrom zoneinfo import ZoneInfo\n\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nAPI = \"https://api.mews.com/api/bookingEngine/v1\"\nCLIENT = \"Mews Distributor 5821.0.0\"\nCDN = \"https://cdn.mews.com/media/image/\"\n\nMAX_IMAGES = 40\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\n\n# spaceType Mews qui ne sont PAS de l'hébergement (vu : STATIONNEMENT vendu\n# comme catégorie ParkingSpot au Griffintown) — exclus des types de chambres,\n# de la capacité ET du minimum de prix\nNON_LODGING_SPACES = {\"ParkingSpot\", \"MeetingRoom\", \"Office\", \"Desk\",\n \"Coworking\", \"EventVenue\"}\n\n\ndef _session_token() -> str:\n \"\"\"Reproduit le jeton de session anonyme du widget : (4 octets aléatoires\n en hex + nowUtc ISO), chaque caractère encodé en décimal sur 3 chiffres.\"\"\"\n raw = os.urandom(4).hex() + _dt.datetime.now(_dt.timezone.utc) \\\n .strftime(\"%Y-%m-%dT%H:%M:%SZ\")\n return \"\".join(f\"{ord(c):03d}\" for c in raw)\n\n\ndef _loc(d: dict | None) -> str:\n \"\"\"Choisit la meilleure variante localisée : fr-CA > fr-* > en > première.\"\"\"\n if not isinstance(d, dict) or not d:\n return \"\"\n for k in (\"fr-CA\", \"fr-FR\"):\n if d.get(k):\n return str(d[k]).strip()\n for k, v in d.items():\n if k.lower().startswith(\"fr\") and v:\n return str(v).strip()\n for k in (\"en-US\", \"en-GB\"):\n if d.get(k):\n return str(d[k]).strip()\n for v in d.values():\n if v:\n return str(v).strip()\n return \"\"\n\n\ndef _img(image_id: str, width: int = 1600) -> str:\n return f\"{CDN}{image_id}?quality=85&width={width}\"\n\n\nclass Mews(StConnector):\n source_id = \"mews\"\n request_delay = 0.4\n timeout = 40\n\n def __init__(self) -> None:\n super().__init__()\n token = _session_token()\n self._auth = {\n \"client\": CLIENT,\n \"session\": (token + hashlib.md5(\n (token + CLIENT).encode()).hexdigest()).upper(),\n }\n\n # -- API ------------------------------------------------------------------\n def _call(self, path: str, payload: dict, guid: str = \"\") -> dict:\n \"\"\"POST bookingEngine v1. ⚠️ Origin + Referer OBLIGATOIRES : sans eux,\n ~60 % des hôtels (plans Mews restreints) répondent « Operation is not\n enabled on your current subscription » — vérifié live.\"\"\"\n resp = self.post(API + path, json={**self._auth, **payload},\n headers={\"Content-Type\": \"application/json\",\n \"X-Accept-Casing\": \"Camel\",\n \"Origin\": \"https://app.mews.com\",\n \"Referer\": \"https://app.mews.com/distributor/\"\n + guid})\n return resp.json()\n\n def _config(self, guid: str) -> dict:\n \"\"\"Configuration + catégories de chambres (payload cachable « v1 »).\"\"\"\n conf = self._call(\"/configurations/get\",\n {\"ids\": [guid], \"primaryId\": guid}, guid)\n engines = conf.get(\"bookingEngines\") or []\n engine = next((b for b in engines if b.get(\"id\") == guid),\n engines[0] if engines else {})\n svc_id = engine.get(\"serviceId\") or \"\"\n rooms = {}\n if svc_id:\n rooms = self._call(\"/resourceCategories/getAll\",\n {\"serviceId\": svc_id,\n \"extent\": {\"imageAssignments\": True}}, guid)\n return {\"conf\": conf, \"rooms\": rooms}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------\n def _probe_price(self, guid: str, conf: dict, engine: dict,\n enterprise: dict,\n lodging_ids: set[str] | None = None) -> float | None:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes catégories dispo.\"\"\"\n svc_id = engine.get(\"serviceId\") or \"\"\n ent_id = enterprise.get(\"id\") or \"\"\n if not svc_id or not ent_id:\n return None\n try:\n tz = ZoneInfo(enterprise.get(\"ianaTimeZoneIdentifier\")\n or \"America/Montreal\")\n except Exception: # noqa: BLE001\n tz = ZoneInfo(\"America/Montreal\")\n # ⚠️ startUtc doit être le début d'un TimeUnit = minuit LOCAL en UTC\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n start = _dt.datetime(day.year, day.month, day.day, tzinfo=tz) \\\n .astimezone(_dt.timezone.utc)\n end = start + _dt.timedelta(days=1)\n fmt = \"%Y-%m-%dT%H:%M:%SZ\"\n lang = engine.get(\"languageCode\") or \"fr-CA\"\n currency = engine.get(\"currencyCode\") or \"CAD\"\n\n adult = next((a.get(\"id\") for a in conf.get(\"ageCategories\") or []\n if a.get(\"serviceId\") == svc_id\n and a.get(\"classification\") == \"Adult\"), None) \\\n or next((a.get(\"id\") for a in conf.get(\"ageCategories\") or []\n if a.get(\"serviceId\") == svc_id), None)\n if not adult:\n return None\n\n # catégories réellement disponibles pour la nuit témoin\n available: set[str] | None = None\n try:\n av = self._call(\"/services/getAvailability\", {\n \"serviceId\": svc_id, \"bookingEngineId\": guid,\n \"startUtc\": start.strftime(fmt), \"endUtc\": end.strftime(fmt),\n \"enterpriseId\": ent_id, \"fullAmounts\": False,\n \"languageCode\": lang,\n }, guid)\n available = {c.get(\"categoryId\")\n for c in av.get(\"categoryAvailabilities\") or []\n if (c.get(\"availabilities\") or [0])[0] > 0}\n except Exception: # noqa: BLE001\n available = None # dispo inconnue : on prend le min global\n\n pricing = self._call(\"/services/getPricing\", {\n \"serviceId\": svc_id, \"bookingEngineId\": guid,\n \"enterpriseId\": ent_id,\n \"startUtc\": start.strftime(fmt), \"endUtc\": end.strftime(fmt),\n \"occupancyData\": [{\"ageCategoryId\": adult, \"personCount\": 2}],\n \"currencyCode\": currency, \"languageCode\": lang,\n \"fullAmounts\": False, \"categoryIds\": None, \"productIds\": None,\n \"voucherCode\": None, \"availabilityBlockId\": None,\n }, guid)\n # affichage du widget : net (taxes en sus) si pricing Net, sinon brut\n net_first = (enterprise.get(\"pricing\") or \"Net\") == \"Net\"\n best = None\n for cp in pricing.get(\"categoryPrices\") or []:\n if lodging_ids is not None \\\n and cp.get(\"categoryId\") not in lodging_ids:\n continue # stationnement, salle de réunion…\n if available and cp.get(\"categoryId\") not in available:\n continue\n for op in cp.get(\"occupancyPrices\") or []:\n for rg in op.get(\"rateGroupPrices\") or []:\n ta = (rg.get(\"minPrice\") or {}).get(\"totalAmount\") or {}\n val = (ta.get(\"netValue\") if net_first\n else ta.get(\"grossValue\"))\n if val is None:\n val = ta.get(\"grossValue\") if net_first \\\n else ta.get(\"netValue\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = float(val)\n return best\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n \"\"\"Construit la fiche ; retourne (listing, échec_du_sondage_prix).\"\"\"\n guid = str(hotel[\"engine_ids\"][\"distributor\"]).strip()\n det = self.detail(guid, \"v1\", lambda g=guid: self._config(g))\n conf = det.get(\"conf\") or {}\n rooms = det.get(\"rooms\") or {}\n\n engines = conf.get(\"bookingEngines\") or []\n engine = next((b for b in engines if b.get(\"id\") == guid),\n engines[0] if engines else {})\n svc_id = engine.get(\"serviceId\") or \"\"\n service = next((s for s in conf.get(\"services\") or []\n if s.get(\"id\") == svc_id), {})\n enterprises = conf.get(\"enterprises\") or []\n enterprise = next((e for e in enterprises\n if e.get(\"id\") == service.get(\"enterpriseId\")),\n enterprises[0] if enterprises else {})\n if not enterprise:\n raise ValueError(\"configuration Mews sans enterprise\")\n\n addr = enterprise.get(\"address\") or {}\n title = _loc(enterprise.get(\"name\")) or _titre(hotel.get(\"name\") or \"\")\n city = str(addr.get(\"city\") or \"\").strip() or hotel.get(\"city\") or \"\"\n\n # catégories de chambres (hébergement seulement) : capacité, noms, galerie\n cats = sorted((c for c in rooms.get(\"resourceCategories\") or []\n if c.get(\"spaceType\") not in NON_LODGING_SPACES),\n key=lambda c: c.get(\"ordering\") or 0)\n lodging_ids = {c.get(\"id\") for c in cats}\n capacity = None\n room_names: list[str] = []\n for c in cats:\n occ = (c.get(\"normalBedCount\") or 0) + (c.get(\"extraBedCount\") or 0)\n if occ and (capacity is None or occ > capacity):\n capacity = occ\n nom = _loc(c.get(\"name\"))\n if nom and nom not in room_names:\n room_names.append(nom)\n\n images: list[str] = []\n for iid in (enterprise.get(\"imageId\"),\n enterprise.get(\"introImageId\")):\n if iid:\n u = _img(iid)\n if u not in images:\n images.append(u)\n cat_order = {c.get(\"id\"): c.get(\"ordering\") or 0 for c in cats}\n assigns = sorted((a for a in rooms.get(\"imageAssignments\") or []\n if a.get(\"categoryId\") in lodging_ids),\n key=lambda a: (cat_order.get(a.get(\"categoryId\"), 99),\n a.get(\"ordering\") or 0))\n for a in assigns:\n if len(images) >= MAX_IMAGES:\n break\n if a.get(\"imageId\"):\n u = _img(a[\"imageId\"])\n if u not in images:\n images.append(u)\n\n # prix frais (jamais caché) — sauté si le circuit breaker est ouvert ;\n # un échec du sondage ne fait jamais tomber la fiche (prix absent)\n price, price_error = None, False\n if price_ok:\n try:\n price = self._probe_price(guid, conf, engine, enterprise,\n lodging_ids or None)\n except Exception as exc: # noqa: BLE001\n price_error = True\n print(f\"[mews] prix {title} ({guid}) : {exc}\",\n file=sys.stderr)\n\n ptype = _property_type(title)\n # « Saguenay--Lac-Saint-Jean » (variante SIT) → tiret cadratin canon\n region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n\n # description : celle de l'hôtel si renseignée, sinon assemblage factuel\n description = _loc(enterprise.get(\"description\"))\n if not description:\n feminin = ptype == \"Auberge\"\n phrases = [f\"{title} est un{'e' if feminin else ''} \"\n f\"{ptype.lower()}\"\n + (f\" situé{'e' if feminin else ''} à {city}\" if city\n else \"\")\n + (f\", dans la région {region}\" if region else \"\")\n + \".\"]\n if room_names:\n phrases.append(f\"{len(room_names)} type\"\n f\"{'s' if len(room_names) > 1 else ''} \"\n \"d'unités : \" + \", \".join(room_names[:8])\n + (\"…\" if len(room_names) > 8 else \"\") + \".\")\n if capacity:\n phrases.append(\"Les plus grandes unités accueillent jusqu'à \"\n f\"{capacity:g} personnes.\")\n phrases.append(\"Réservation directe en ligne auprès de \"\n \"l'établissement (moteur Mews).\")\n if hotel.get(\"citq\"):\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {hotel['citq']}).\")\n description = \" \".join(phrases)\n\n details: dict = {\"booking_engine\": \"mews\"}\n if cats:\n details[\"room_types\"] = len(cats)\n if room_names:\n details[\"room_type_names\"] = \", \".join(room_names[:12])\n if enterprise.get(\"telephone\"):\n details[\"phone\"] = enterprise[\"telephone\"]\n if enterprise.get(\"email\"):\n details[\"email\"] = enterprise[\"email\"]\n if addr.get(\"postalCode\"):\n details[\"postal_code\"] = addr[\"postalCode\"]\n if hotel.get(\"website\"):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=guid,\n url=hotel.get(\"booking_url\")\n or f\"https://app.mews.com/distributor/{guid}\",\n title=title,\n property_type=ptype,\n address=str(addr.get(\"line1\") or \"\").strip(),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=float(capacity) if capacity else None,\n citq=str(hotel.get(\"citq\") or \"\").strip(),\n description=description[:5000],\n details=details,\n images=images,\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[mews] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"mews\"\n and (h.get(\"engine_ids\") or {}).get(\"distributor\")]\n\n listings: list[StListing] = []\n vus: set[str] = set()\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n guid = str(hotel[\"engine_ids\"][\"distributor\"]).strip()\n if not guid or guid in vus:\n continue\n vus.add(guid)\n try:\n lst, price_error = self._listing(\n hotel, price_ok=price_failures < BREAKER_LIMIT)\n except Exception as exc: # noqa: BLE001\n print(f\"[mews] {hotel.get('name')} ({guid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[mews] {BREAKER_LIMIT} échecs de sondage de prix \"\n \"consécutifs : arrêt des requêtes prix (fiches \"\n \"sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","structuredPatch":[{"oldStart":346,"oldLines":7,"newStart":346,"newLines":13,"lines":[" if hotel.get(\"website\"):"," details[\"website\"] = hotel[\"website\"]"," ","+ # géoloc/adresse : Mews d'abord, sinon repli sur le SIT (via le roster,","+ # enrichi lat/lng/address pour les 1 174 hôtels sondés)"," lat, lng = addr.get(\"latitude\"), addr.get(\"longitude\")","+ if lat is None or lng is None:","+ lat, lng = hotel.get(\"lat\"), hotel.get(\"lng\")","+ address = str(addr.get(\"line1\") or \"\").strip() \\","+ or str(hotel.get(\"address\") or \"\").strip()"," "," return StListing("," source=self.source_id,"]},{"oldStart":355,"oldLines":7,"newStart":361,"newLines":7,"lines":[" or f\"https://app.mews.com/distributor/{guid}\","," title=title,"," property_type=ptype,","- address=str(addr.get(\"line1\") or \"\").strip(),","+ address=address,"," city=city,"," region=region,"," price_night=price,"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3599a917-3d00-4315-ac3b-63ad5cf5d40c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBnmTbr9RXFMpcUsUgb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GfTgr6Ft7Gw33iCEs8hrdo","name":"Bash","input":{"command":".venv/bin/python -c \"import louka.shortterm.connectors.mews\" && echo IMPORT_OK","description":"Verify mews connector still imports"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":595,"cache_read_input_tokens":112900,"cache_creation":{"ephemeral_5m_input_tokens":595,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cd7938d6-bee7-4d96-93dc-a73ee5832c69"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GfTgr6Ft7Gw33iCEs8hrdo","type":"tool_result","content":"IMPORT_OK","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"0ce6787a-155e-4155-a821-66606b4a740b","timestamp":"2026-08-25T21:36:10.735Z","tool_use_result":{"stdout":"IMPORT_OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"61b42446-aa72-4a2f-8c08-3665833b2b74","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBo5mRXpzRHx2jYybpa","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":565,"cache_read_input_tokens":113495,"cache_creation":{"ephemeral_5m_input_tokens":565,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"078cff3d-c4eb-4422-90a0-af553da2bf31"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBo5mRXpzRHx2jYybpa","type":"message","role":"assistant","content":[{"type":"text","text":"Mews importe. J'implémente maintenant le filtre anti-doublons dans `sithotels` : pas de fiche squelette pour un hôtel qui aura une fiche riche Mews/Reservit."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":565,"cache_read_input_tokens":113495,"cache_creation":{"ephemeral_5m_input_tokens":565,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"828586e3-bb4b-409f-8079-e33fe9dc802c"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBo5mRXpzRHx2jYybpa","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Tgu6T3PtReVErzn5KgjyU7","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","offset":40,"limit":45},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":565,"cache_read_input_tokens":113495,"cache_creation":{"ephemeral_5m_input_tokens":565,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fdf54720-4d88-437d-971a-f745aa0491f8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Tgu6T3PtReVErzn5KgjyU7","type":"tool_result","content":"40\t# d'exploitation, no CITQ) — rien d'inventé.\n41\t# -----------------------------------------------------------------------------\n42\tfrom __future__ import annotations\n43\t\n44\timport re\n45\tfrom urllib.parse import quote_plus\n46\t\n47\tfrom ..schema import StListing\n48\tfrom .base import StConnector\n49\t\n50\tDATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n51\t \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")\n52\t\n53\tBQ_RECHERCHE = \"https://www.bonjourquebec.com/fr-ca/recherche?keys=\"\n54\t\n55\t# blocs Tourinsoft dont les libellés deviennent des commodités\n56\tGROUPES_SERVICES = [\n57\t \"ServicesDisponibless\", \"ServicesRestaurations\", \"ServicesTransports\",\n58\t \"ActivitesSportivesNautiquess\", \"ActivitesSportivesTerrestress\",\n59\t \"ActivitesRecreativesCulturelless\", \"LocationEquipements\",\n60\t]\n61\t\n62\t# variantes de région du dataset → canon Lou-Ka (le reste passe par\n63\t# normalize_region dans finalize())\n64\tREGION_FIX = {\n65\t \"Baie-James\": \"Eeyou Istchee Baie-James\",\n66\t \"Eeyou Istchee\": \"Eeyou Istchee Baie-James\",\n67\t}\n68\t\n69\t# particules françaises gardées en minuscules lors du recasage des noms\n70\t_PARTICULES = {\n71\t \"de\", \"du\", \"des\", \"la\", \"le\", \"les\", \"l\", \"d\", \"a\", \"à\", \"au\", \"aux\",\n72\t \"et\", \"en\", \"sur\", \"sous\", \"chez\", \"un\", \"une\", \"par\", \"pour\",\n73\t \"the\", \"of\", \"and\", \"at\", \"on\", \"by\",\n74\t}\n75\t\n76\t_MOIS = [\"\", \"janvier\", \"février\", \"mars\", \"avril\", \"mai\", \"juin\", \"juillet\",\n77\t \"août\", \"septembre\", \"octobre\", \"novembre\", \"décembre\"]\n78\t\n79\t_SEG_RE = re.compile(r\"(['’\\-])\")\n80\t\n81\t\n82\tdef _titre(nom: str) -> str:\n83\t \"\"\"Recase un nom livré en MAJUSCULES (« HÔTEL L'OIE DES NEIGES » →\n84\t « Hôtel l'Oie des Neiges ») ; les noms déjà en casse mixte sont gardés.\"\"\""}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a6eea757-d87d-4455-a30b-efe4cfee9faa","timestamp":"2026-08-25T21:36:20.042Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","content":"# d'exploitation, no CITQ) — rien d'inventé.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\nDATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")\n\nBQ_RECHERCHE = \"https://www.bonjourquebec.com/fr-ca/recherche?keys=\"\n\n# blocs Tourinsoft dont les libellés deviennent des commodités\nGROUPES_SERVICES = [\n \"ServicesDisponibless\", \"ServicesRestaurations\", \"ServicesTransports\",\n \"ActivitesSportivesNautiquess\", \"ActivitesSportivesTerrestress\",\n \"ActivitesRecreativesCulturelless\", \"LocationEquipements\",\n]\n\n# variantes de région du dataset → canon Lou-Ka (le reste passe par\n# normalize_region dans finalize())\nREGION_FIX = {\n \"Baie-James\": \"Eeyou Istchee Baie-James\",\n \"Eeyou Istchee\": \"Eeyou Istchee Baie-James\",\n}\n\n# particules françaises gardées en minuscules lors du recasage des noms\n_PARTICULES = {\n \"de\", \"du\", \"des\", \"la\", \"le\", \"les\", \"l\", \"d\", \"a\", \"à\", \"au\", \"aux\",\n \"et\", \"en\", \"sur\", \"sous\", \"chez\", \"un\", \"une\", \"par\", \"pour\",\n \"the\", \"of\", \"and\", \"at\", \"on\", \"by\",\n}\n\n_MOIS = [\"\", \"janvier\", \"février\", \"mars\", \"avril\", \"mai\", \"juin\", \"juillet\",\n \"août\", \"septembre\", \"octobre\", \"novembre\", \"décembre\"]\n\n_SEG_RE = re.compile(r\"(['’\\-])\")\n\n\ndef _titre(nom: str) -> str:\n \"\"\"Recase un nom livré en MAJUSCULES (« HÔTEL L'OIE DES NEIGES » →\n « Hôtel l'Oie des Neiges ») ; les noms déjà en casse mixte sont gardés.\"\"\"","numLines":45,"startLine":40,"totalLines":324}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1dfe0a53-5d94-445f-8bb9-554019d8e689","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBomY68nDubSCcXLPL9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013PdZgKvXf3F7TBNAUFcGog","name":"Bash","input":{"command":"sed -n 155,200p louka/shortterm/connectors/sithotels.py","description":"Read SitHotels fetch loop start"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1315,"cache_read_input_tokens":114060,"cache_creation":{"ephemeral_5m_input_tokens":1315,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"588b003e-8768-4a7b-b4fb-0c0f95b10912"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013PdZgKvXf3F7TBNAUFcGog","type":"tool_result","content":"class SitHotels(StConnector):\n source_id = \"sithotels\"\n use_detail_cache = False # une seule requête : rien à cacher\n timeout = 120 # le JSON fait ~11 Mo\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n ville = str(adresse.get(\"Municipalite\") or \"\").strip()\n rue = str(adresse.get(\"Numerovoie\") or \"\").strip()\n region = _region(rec)\n\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n\n # site web de l'hôtel, sinon recherche BonjourQuébec (lien stable)\n url = _coordonnees(rec, \"SiteInternets\")\n if url.startswith(\"www.\"):\n url = \"https://\" + url\n details: dict = {}\n if not url.startswith((\"http://\", \"https://\")):\n url = BQ_RECHERCHE + quote_plus(f\"{titre} {ville}\".strip())\n details[\"lien\"] = \"recherche-bonjourquebec\"\n\n citq = \"\"\n for n in rec.get(\"NumeroEnregistrementHebergements\") or []:\n v = str(n.get(\"Numerodenregistrementdhebergement\") or \"\").strip()\n if v:\n citq = v\n break\n\n # unités et capacité TOTALE de l'hôtel → details (pas `capacity`)\n cap = (rec.get(\"CapaciteMaximaleHebergements\") or [{}])[0]\n unites = cap.get(\"Nombredunitescommercialisablesseparement\")\n cap_totale = cap.get(\"Capacitemaximaleenhebergementnombredepersonnes\")","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"00942b2a-3715-46d9-8be3-54c462e437b4","timestamp":"2026-08-25T21:36:23.939Z","tool_use_result":{"stdout":"class SitHotels(StConnector):\n source_id = \"sithotels\"\n use_detail_cache = False # une seule requête : rien à cacher\n timeout = 120 # le JSON fait ~11 Mo\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n ville = str(adresse.get(\"Municipalite\") or \"\").strip()\n rue = str(adresse.get(\"Numerovoie\") or \"\").strip()\n region = _region(rec)\n\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n\n # site web de l'hôtel, sinon recherche BonjourQuébec (lien stable)\n url = _coordonnees(rec, \"SiteInternets\")\n if url.startswith(\"www.\"):\n url = \"https://\" + url\n details: dict = {}\n if not url.startswith((\"http://\", \"https://\")):\n url = BQ_RECHERCHE + quote_plus(f\"{titre} {ville}\".strip())\n details[\"lien\"] = \"recherche-bonjourquebec\"\n\n citq = \"\"\n for n in rec.get(\"NumeroEnregistrementHebergements\") or []:\n v = str(n.get(\"Numerodenregistrementdhebergement\") or \"\").strip()\n if v:\n citq = v\n break\n\n # unités et capacité TOTALE de l'hôtel → details (pas `capacity`)\n cap = (rec.get(\"CapaciteMaximaleHebergements\") or [{}])[0]\n unites = cap.get(\"Nombredunitescommercialisablesseparement\")\n cap_totale = cap.get(\"Capacitemaximaleenhebergementnombredepersonnes\")","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9612f618-5787-4d65-ab92-f5c9f34672b8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Read first part of long-term BaseConnector","usage":{"total_tokens":50139,"tool_uses":101,"duration_ms":1155571},"last_tool_name":"Bash","uuid":"bffbcd0c-e29f-43d6-b5f0-d59103c37ef0","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBp47EidUtSHM849hx4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KnGSLgbywzFp8MM1xMYeh2","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","old_string":"from __future__ import annotations\n\nimport re\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector","new_string":"from __future__ import annotations\n\nimport json\nimport re\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\n# table hôtel → moteur de résa (scripts/detect_hotel_engines.py) : les hôtels\n# couverts par un connecteur riche (mews, reservit) sont sautés ici pour ne\n# pas doubler leur fiche avec un squelette sans prix ni photos\nENGINES = Path(__file__).resolve().parents[3] / \"data\" / \"hotels_engines.json\"\nENGINES_COUVERTS = {\"mews\", \"reservit\"}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":887,"cache_read_input_tokens":115375,"cache_creation":{"ephemeral_5m_input_tokens":887,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"026a9da1-2089-4f85-b14d-a89daee1a435"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KnGSLgbywzFp8MM1xMYeh2","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"182b9b10-f138-4ee5-9763-2565dff08a70","timestamp":"2026-08-25T21:36:31.250Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","oldString":"from __future__ import annotations\n\nimport re\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector","newString":"from __future__ import annotations\n\nimport json\nimport re\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\n# table hôtel → moteur de résa (scripts/detect_hotel_engines.py) : les hôtels\n# couverts par un connecteur riche (mews, reservit) sont sautés ici pour ne\n# pas doubler leur fiche avec un squelette sans prix ni photos\nENGINES = Path(__file__).resolve().parents[3] / \"data\" / \"hotels_engines.json\"\nENGINES_COUVERTS = {\"mews\", \"reservit\"}","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/sithotels.py : « Hôtels — SIT Québec » — le répertoire OFFICIEL\n# des hôtels du Québec (ministère du Tourisme / CITQ / AHQ), publié sur\n# Données Québec et syndiqué par Tourinsoft. ~1 910 établissements, JSON\n# public sans auth (~11 Mo), mis à jour quotidiennement.\n#\n# Méthode :\n# 1. UNE requête : le dataset complet vit derrière une seule URL Tourinsoft\n# ({\"value\": [fiches…]}) — pas de pagination, pas de pages détail, donc\n# pas de cache BD (use_detail_cache = False).\n# 2. Chaque fiche Tourinsoft est un agrégat de blocs (Adresses,\n# Geolocalisations, SiteInternets, Unitess, CapaciteMaximaleHebergements,\n# NumeroEnregistrementHebergements, Services*…) dont les libellés vivent\n# dans des dicts {ThesID, ThesLibelle} imbriqués — extraction générique\n# via _libelles().\n# 3. La région touristique s'obtient en joignant ZonesGeographiquess et\n# ZonesGeographiquesTypes sur ZoneId (type « Région touristique ») ;\n# variantes du dataset ramenées au canon Lou-Ka (Côte-Nord (Duplessis/\n# Manicouagan) → Côte-Nord, Baie-James & Eeyou Istchee → Eeyou Istchee\n# Baie-James, «--» → tiret cadratin pour Saguenay–Lac-Saint-Jean).\n#\n# Particularités assumées :\n# - PAS de prix ni de photos dans le dataset (squelette d'inventaire\n# officiel) → price_night=None, price_label=\"\" (« Prix sur demande »).\n# - `capacity` (personnes PAR unité sur le site) reste vide : le nombre\n# d'unités et la capacité totale de l'hôtel vont dans details[\"units\"] /\n# details[\"total_capacity\"] et dans la description.\n# - URL : site web de l'établissement si présent (~61 % des fiches, parfois\n# directement un moteur Reservit) ; sinon repli sur la recherche\n# BonjourQuébec (?keys= , paramètre Drupal vérifié) — lien\n# public stable qui présente l'établissement ; aucune fiche abandonnée.\n# - Noms livrés EN MAJUSCULES → recasage français (_titre) en gardant les\n# particules (de, du, des, l'…) en minuscules.\n# - external_id = SyndicObjectID (stable, unique — vérifié) ; le numéro\n# d'enregistrement CITQ (100 % des fiches) va dans `citq`.\n# - Animaux : « admis gratuitement » → oui ; « admis payant » → conditions.\n# - Description : court paragraphe éditorial assemblé à partir des faits\n# (type, unités, ville/région, environnement, services, animaux, période\n# d'exploitation, no CITQ) — rien d'inventé.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\nDATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")\n\nBQ_RECHERCHE = \"https://www.bonjourquebec.com/fr-ca/recherche?keys=\"\n\n# blocs Tourinsoft dont les libellés deviennent des commodités\nGROUPES_SERVICES = [\n \"ServicesDisponibless\", \"ServicesRestaurations\", \"ServicesTransports\",\n \"ActivitesSportivesNautiquess\", \"ActivitesSportivesTerrestress\",\n \"ActivitesRecreativesCulturelless\", \"LocationEquipements\",\n]\n\n# variantes de région du dataset → canon Lou-Ka (le reste passe par\n# normalize_region dans finalize())\nREGION_FIX = {\n \"Baie-James\": \"Eeyou Istchee Baie-James\",\n \"Eeyou Istchee\": \"Eeyou Istchee Baie-James\",\n}\n\n# particules françaises gardées en minuscules lors du recasage des noms\n_PARTICULES = {\n \"de\", \"du\", \"des\", \"la\", \"le\", \"les\", \"l\", \"d\", \"a\", \"à\", \"au\", \"aux\",\n \"et\", \"en\", \"sur\", \"sous\", \"chez\", \"un\", \"une\", \"par\", \"pour\",\n \"the\", \"of\", \"and\", \"at\", \"on\", \"by\",\n}\n\n_MOIS = [\"\", \"janvier\", \"février\", \"mars\", \"avril\", \"mai\", \"juin\", \"juillet\",\n \"août\", \"septembre\", \"octobre\", \"novembre\", \"décembre\"]\n\n_SEG_RE = re.compile(r\"(['’\\-])\")\n\n\ndef _titre(nom: str) -> str:\n \"\"\"Recase un nom livré en MAJUSCULES (« HÔTEL L'OIE DES NEIGES » →\n « Hôtel l'Oie des Neiges ») ; les noms déjà en casse mixte sont gardés.\"\"\"\n nom = re.sub(r\"\\s+\", \" \", (nom or \"\").strip())\n if not nom or nom != nom.upper():\n return nom\n mots = []\n for i, mot in enumerate(nom.lower().split(\" \")):\n segs = _SEG_RE.split(mot) # « l'oie » → [l, ', oie]\n for j in range(0, len(segs), 2):\n seg = segs[j]\n if not seg:\n continue\n if (i == 0 and j == 0) or seg not in _PARTICULES:\n segs[j] = seg[0].upper() + seg[1:]\n mots.append(\"\".join(segs))\n return \" \".join(mots)\n\n\ndef _libelles(rec: dict, key: str) -> list[str]:\n \"\"\"Extrait les ThesLibelle d'un bloc Tourinsoft (listes de dicts dont la\n clé interne varie : Servicesdisponibles, Environnement…).\"\"\"\n out: list[str] = []\n for blk in rec.get(key) or []:\n if not isinstance(blk, dict):\n continue\n for v in blk.values():\n if isinstance(v, list):\n for it in v:\n if isinstance(it, dict) and it.get(\"ThesLibelle\"):\n lib = str(it[\"ThesLibelle\"]).strip()\n if lib and lib not in out:\n out.append(lib)\n return out\n\n\ndef _region(rec: dict) -> str:\n \"\"\"Jointure ZonesGeographiquess × ZonesGeographiquesTypes → région\n touristique, ramenée vers le canon Lou-Ka.\"\"\"\n types = {z.get(\"ZoneId\"): z.get(\"ZoneTypeLibelle\")\n for z in rec.get(\"ZonesGeographiquesTypes\") or []}\n for z in rec.get(\"ZonesGeographiquess\") or []:\n if types.get(z.get(\"ZoneId\")) == \"Région touristique\":\n raw = re.sub(r\"\\s*\\([^)]*\\)\\s*$\", \"\", str(z.get(\"ZoneLibelle\") or \"\"))\n raw = raw.replace(\"--\", \"–\").strip()\n return REGION_FIX.get(raw, raw)\n return \"\"\n\n\ndef _coordonnees(rec: dict, key: str) -> str:\n for c in rec.get(key) or []:\n v = str(c.get(\"Coordonnees\") or \"\").strip()\n if v:\n return v\n return \"\"\n\n\ndef _date_fr(iso: str) -> str:\n m = re.match(r\"(\\d{4})-(\\d{2})-(\\d{2})\", str(iso or \"\"))\n if not m:\n return \"\"\n return f\"{int(m.group(3))} {_MOIS[int(m.group(2))]}\"\n\n\ndef _property_type(nom: str) -> str:\n bas = nom.lower()\n if \"motel\" in bas:\n return \"Motel\"\n if \"auberge\" in bas:\n return \"Auberge\"\n return \"Hôtel\"\n\n\nclass SitHotels(StConnector):\n source_id = \"sithotels\"\n use_detail_cache = False # une seule requête : rien à cacher\n timeout = 120 # le JSON fait ~11 Mo\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n ville = str(adresse.get(\"Municipalite\") or \"\").strip()\n rue = str(adresse.get(\"Numerovoie\") or \"\").strip()\n region = _region(rec)\n\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n\n # site web de l'hôtel, sinon recherche BonjourQuébec (lien stable)\n url = _coordonnees(rec, \"SiteInternets\")\n if url.startswith(\"www.\"):\n url = \"https://\" + url\n details: dict = {}\n if not url.startswith((\"http://\", \"https://\")):\n url = BQ_RECHERCHE + quote_plus(f\"{titre} {ville}\".strip())\n details[\"lien\"] = \"recherche-bonjourquebec\"\n\n citq = \"\"\n for n in rec.get(\"NumeroEnregistrementHebergements\") or []:\n v = str(n.get(\"Numerodenregistrementdhebergement\") or \"\").strip()\n if v:\n citq = v\n break\n\n # unités et capacité TOTALE de l'hôtel → details (pas `capacity`)\n cap = (rec.get(\"CapaciteMaximaleHebergements\") or [{}])[0]\n unites = cap.get(\"Nombredunitescommercialisablesseparement\")\n cap_totale = cap.get(\"Capacitemaximaleenhebergementnombredepersonnes\")\n types_unites = []\n for u in rec.get(\"Unitess\") or []:\n n, lib = u.get(\"Nombredunites\"), \\\n (u.get(\"Typedunite\") or {}).get(\"ThesLibelle\") or \"\"\n if n and lib:\n lib = lib.lower()\n plur = {\"chambre\": \"chambres\", \"suite\": \"suites\",\n \"appartement\": \"appartements\"}.get(lib, lib)\n types_unites.append(f\"{n} {plur if n > 1 else lib}\")\n if unites:\n details[\"units\"] = unites\n if cap_totale:\n details[\"total_capacity\"] = cap_totale\n if types_unites:\n details[\"unit_types\"] = \", \".join(types_unites)\n\n # services → commodités ; environnement → contexte + drapeau\n amenities = []\n for g in GROUPES_SERVICES:\n for lib in _libelles(rec, g):\n if lib not in amenities:\n amenities.append(lib)\n environnement = _libelles(rec, \"Environnements\")\n if any(\"bord d'une rivière\" in e.lower() for e in environnement):\n details[\"waterfront\"] = True\n\n # accessibilité Kéroul (bloc à part, pas la forme générique)\n for a in rec.get(\"Accessibilites\") or []:\n cote = (a.get(\"CotedaccessibiliteselonKeroul\") or {}) \\\n .get(\"ThesLibelle\")\n if cote:\n details[\"keroul\"] = cote\n break\n\n pets_libs = _libelles(rec, \"ServicesAnimauxCompagnies\")\n pets = None\n if any(\"gratuit\" in l.lower() for l in pets_libs):\n pets = \"oui\"\n elif pets_libs:\n pets = \"conditions\"\n\n # période d'exploitation\n exploitation, saison = \"\", \"\"\n for p in rec.get(\"PeriodeOuvertures\") or []:\n exploitation = (p.get(\"Typedexploitation\") or {}) \\\n .get(\"ThesLibelle\") or \"\"\n if exploitation:\n deb, fin = _date_fr(p.get(\"Datedebut\")), \\\n _date_fr(p.get(\"Datefin\"))\n if exploitation.lower().startswith(\"saison\") and deb and fin:\n saison = f\"du {deb} au {fin}\"\n break\n if exploitation:\n details[\"exploitation\"] = (f\"{exploitation} {saison}\".strip()\n if saison else exploitation)\n\n tel = _coordonnees(rec, \"TelephonePrincipals\")\n courriel = _coordonnees(rec, \"Courriels\")\n if tel:\n details[\"phone\"] = tel\n if courriel:\n details[\"email\"] = courriel\n cp = str(adresse.get(\"CodePostal\") or \"\").strip()\n if cp:\n details[\"postal_code\"] = cp\n\n ptype = _property_type(titre)\n\n # description éditoriale assemblée à partir des faits\n feminin = ptype == \"Auberge\"\n phrases = []\n p1 = f\"{titre} est un{'e' if feminin else ''} {ptype.lower()}\"\n if unites:\n p1 += f\" de {unites} unité{'s' if unites > 1 else ''}\"\n if types_unites:\n p1 += f\" ({', '.join(types_unites)})\"\n if ville:\n p1 += f\" situé{'e' if feminin else ''} à {ville}\"\n if region:\n p1 += f\", dans la région {region}\"\n phrases.append(p1 + \".\")\n if cap_totale:\n phrases.append(\"L'établissement peut accueillir jusqu'à \"\n f\"{cap_totale} personnes au total.\")\n if environnement:\n phrases.append(\"Emplacement : \"\n + \", \".join(e[0].lower() + e[1:]\n for e in environnement) + \".\")\n if amenities:\n aff = [a[0].lower() + a[1:] for a in amenities[:10]]\n phrases.append(\"Sur place : \" + \", \".join(aff) + \".\")\n if pets == \"oui\":\n phrases.append(\"Animaux de compagnie admis gratuitement.\")\n elif pets == \"conditions\":\n phrases.append(\"Animaux de compagnie admis avec frais.\")\n if saison:\n phrases.append(f\"Exploitation saisonnière, {saison}.\")\n elif exploitation.lower().startswith(\"annuel\"):\n phrases.append(\"Ouvert à l'année.\")\n if citq:\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {citq}).\")\n\n listings.append(StListing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=titre,\n property_type=ptype,\n address=rue,\n city=ville,\n region=region,\n price_night=None,\n price_label=\"\",\n pets=pets,\n citq=citq,\n description=\" \".join(phrases),\n amenities=amenities,\n details=details,\n lat=lat,\n lng=lng,\n ))\n return listings\n","structuredPatch":[{"oldStart":41,"oldLines":12,"newStart":41,"newLines":21,"lines":[" # -----------------------------------------------------------------------------"," from __future__ import annotations"," ","+import json"," import re","+import sys","+from pathlib import Path"," from urllib.parse import quote_plus"," "," from ..schema import StListing"," from .base import StConnector"," ","+# table hôtel → moteur de résa (scripts/detect_hotel_engines.py) : les hôtels","+# couverts par un connecteur riche (mews, reservit) sont sautés ici pour ne","+# pas doubler leur fiche avec un squelette sans prix ni photos","+ENGINES = Path(__file__).resolve().parents[3] / \"data\" / \"hotels_engines.json\"","+ENGINES_COUVERTS = {\"mews\", \"reservit\"}","+"," DATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\""," \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")"," "]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1cba4344-9a74-4102-bb7a-1dcbde5193aa","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBpbXMmJ8emT1k4FWAw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011yqNGMRk7xHTmTngew5jPm","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","old_string":" # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue","new_string":" # -- hôtels déjà couverts par un connecteur moteur (fiche plus riche) ------\n @staticmethod\n def _couverts() -> set[str]:\n try:\n table = json.loads(ENGINES.read_text(encoding=\"utf-8\"))\n except (OSError, ValueError) as exc:\n print(f\"[sithotels] table moteurs illisible ({exc}) — aucun saut\",\n file=sys.stderr)\n return set()\n return {\n str(h.get(\"sit_id\") or \"\")\n for h in table.get(\"hotels\") or []\n if h.get(\"engine\") in ENGINES_COUVERTS\n and (h.get(\"engine_ids\") or {}).get(\n \"distributor\" if h.get(\"engine\") == \"mews\" else \"hotelid\")\n }\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n couverts = self._couverts()\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n sautes = 0\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n if ext_id in couverts:\n sautes += 1\n continue"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":477,"cache_read_input_tokens":116262,"cache_creation":{"ephemeral_5m_input_tokens":477,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"66bedb28-8d6a-43ef-b06d-693925dc7b56"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011yqNGMRk7xHTmTngew5jPm","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3352eecc-768a-4f54-b3b6-90e48cbde741","timestamp":"2026-08-25T21:36:40.561Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","oldString":" # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue","newString":" # -- hôtels déjà couverts par un connecteur moteur (fiche plus riche) ------\n @staticmethod\n def _couverts() -> set[str]:\n try:\n table = json.loads(ENGINES.read_text(encoding=\"utf-8\"))\n except (OSError, ValueError) as exc:\n print(f\"[sithotels] table moteurs illisible ({exc}) — aucun saut\",\n file=sys.stderr)\n return set()\n return {\n str(h.get(\"sit_id\") or \"\")\n for h in table.get(\"hotels\") or []\n if h.get(\"engine\") in ENGINES_COUVERTS\n and (h.get(\"engine_ids\") or {}).get(\n \"distributor\" if h.get(\"engine\") == \"mews\" else \"hotelid\")\n }\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n couverts = self._couverts()\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n sautes = 0\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n if ext_id in couverts:\n sautes += 1\n continue","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/sithotels.py : « Hôtels — SIT Québec » — le répertoire OFFICIEL\n# des hôtels du Québec (ministère du Tourisme / CITQ / AHQ), publié sur\n# Données Québec et syndiqué par Tourinsoft. ~1 910 établissements, JSON\n# public sans auth (~11 Mo), mis à jour quotidiennement.\n#\n# Méthode :\n# 1. UNE requête : le dataset complet vit derrière une seule URL Tourinsoft\n# ({\"value\": [fiches…]}) — pas de pagination, pas de pages détail, donc\n# pas de cache BD (use_detail_cache = False).\n# 2. Chaque fiche Tourinsoft est un agrégat de blocs (Adresses,\n# Geolocalisations, SiteInternets, Unitess, CapaciteMaximaleHebergements,\n# NumeroEnregistrementHebergements, Services*…) dont les libellés vivent\n# dans des dicts {ThesID, ThesLibelle} imbriqués — extraction générique\n# via _libelles().\n# 3. La région touristique s'obtient en joignant ZonesGeographiquess et\n# ZonesGeographiquesTypes sur ZoneId (type « Région touristique ») ;\n# variantes du dataset ramenées au canon Lou-Ka (Côte-Nord (Duplessis/\n# Manicouagan) → Côte-Nord, Baie-James & Eeyou Istchee → Eeyou Istchee\n# Baie-James, «--» → tiret cadratin pour Saguenay–Lac-Saint-Jean).\n#\n# Particularités assumées :\n# - PAS de prix ni de photos dans le dataset (squelette d'inventaire\n# officiel) → price_night=None, price_label=\"\" (« Prix sur demande »).\n# - `capacity` (personnes PAR unité sur le site) reste vide : le nombre\n# d'unités et la capacité totale de l'hôtel vont dans details[\"units\"] /\n# details[\"total_capacity\"] et dans la description.\n# - URL : site web de l'établissement si présent (~61 % des fiches, parfois\n# directement un moteur Reservit) ; sinon repli sur la recherche\n# BonjourQuébec (?keys= , paramètre Drupal vérifié) — lien\n# public stable qui présente l'établissement ; aucune fiche abandonnée.\n# - Noms livrés EN MAJUSCULES → recasage français (_titre) en gardant les\n# particules (de, du, des, l'…) en minuscules.\n# - external_id = SyndicObjectID (stable, unique — vérifié) ; le numéro\n# d'enregistrement CITQ (100 % des fiches) va dans `citq`.\n# - Animaux : « admis gratuitement » → oui ; « admis payant » → conditions.\n# - Description : court paragraphe éditorial assemblé à partir des faits\n# (type, unités, ville/région, environnement, services, animaux, période\n# d'exploitation, no CITQ) — rien d'inventé.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport re\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\n# table hôtel → moteur de résa (scripts/detect_hotel_engines.py) : les hôtels\n# couverts par un connecteur riche (mews, reservit) sont sautés ici pour ne\n# pas doubler leur fiche avec un squelette sans prix ni photos\nENGINES = Path(__file__).resolve().parents[3] / \"data\" / \"hotels_engines.json\"\nENGINES_COUVERTS = {\"mews\", \"reservit\"}\n\nDATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")\n\nBQ_RECHERCHE = \"https://www.bonjourquebec.com/fr-ca/recherche?keys=\"\n\n# blocs Tourinsoft dont les libellés deviennent des commodités\nGROUPES_SERVICES = [\n \"ServicesDisponibless\", \"ServicesRestaurations\", \"ServicesTransports\",\n \"ActivitesSportivesNautiquess\", \"ActivitesSportivesTerrestress\",\n \"ActivitesRecreativesCulturelless\", \"LocationEquipements\",\n]\n\n# variantes de région du dataset → canon Lou-Ka (le reste passe par\n# normalize_region dans finalize())\nREGION_FIX = {\n \"Baie-James\": \"Eeyou Istchee Baie-James\",\n \"Eeyou Istchee\": \"Eeyou Istchee Baie-James\",\n}\n\n# particules françaises gardées en minuscules lors du recasage des noms\n_PARTICULES = {\n \"de\", \"du\", \"des\", \"la\", \"le\", \"les\", \"l\", \"d\", \"a\", \"à\", \"au\", \"aux\",\n \"et\", \"en\", \"sur\", \"sous\", \"chez\", \"un\", \"une\", \"par\", \"pour\",\n \"the\", \"of\", \"and\", \"at\", \"on\", \"by\",\n}\n\n_MOIS = [\"\", \"janvier\", \"février\", \"mars\", \"avril\", \"mai\", \"juin\", \"juillet\",\n \"août\", \"septembre\", \"octobre\", \"novembre\", \"décembre\"]\n\n_SEG_RE = re.compile(r\"(['’\\-])\")\n\n\ndef _titre(nom: str) -> str:\n \"\"\"Recase un nom livré en MAJUSCULES (« HÔTEL L'OIE DES NEIGES » →\n « Hôtel l'Oie des Neiges ») ; les noms déjà en casse mixte sont gardés.\"\"\"\n nom = re.sub(r\"\\s+\", \" \", (nom or \"\").strip())\n if not nom or nom != nom.upper():\n return nom\n mots = []\n for i, mot in enumerate(nom.lower().split(\" \")):\n segs = _SEG_RE.split(mot) # « l'oie » → [l, ', oie]\n for j in range(0, len(segs), 2):\n seg = segs[j]\n if not seg:\n continue\n if (i == 0 and j == 0) or seg not in _PARTICULES:\n segs[j] = seg[0].upper() + seg[1:]\n mots.append(\"\".join(segs))\n return \" \".join(mots)\n\n\ndef _libelles(rec: dict, key: str) -> list[str]:\n \"\"\"Extrait les ThesLibelle d'un bloc Tourinsoft (listes de dicts dont la\n clé interne varie : Servicesdisponibles, Environnement…).\"\"\"\n out: list[str] = []\n for blk in rec.get(key) or []:\n if not isinstance(blk, dict):\n continue\n for v in blk.values():\n if isinstance(v, list):\n for it in v:\n if isinstance(it, dict) and it.get(\"ThesLibelle\"):\n lib = str(it[\"ThesLibelle\"]).strip()\n if lib and lib not in out:\n out.append(lib)\n return out\n\n\ndef _region(rec: dict) -> str:\n \"\"\"Jointure ZonesGeographiquess × ZonesGeographiquesTypes → région\n touristique, ramenée vers le canon Lou-Ka.\"\"\"\n types = {z.get(\"ZoneId\"): z.get(\"ZoneTypeLibelle\")\n for z in rec.get(\"ZonesGeographiquesTypes\") or []}\n for z in rec.get(\"ZonesGeographiquess\") or []:\n if types.get(z.get(\"ZoneId\")) == \"Région touristique\":\n raw = re.sub(r\"\\s*\\([^)]*\\)\\s*$\", \"\", str(z.get(\"ZoneLibelle\") or \"\"))\n raw = raw.replace(\"--\", \"–\").strip()\n return REGION_FIX.get(raw, raw)\n return \"\"\n\n\ndef _coordonnees(rec: dict, key: str) -> str:\n for c in rec.get(key) or []:\n v = str(c.get(\"Coordonnees\") or \"\").strip()\n if v:\n return v\n return \"\"\n\n\ndef _date_fr(iso: str) -> str:\n m = re.match(r\"(\\d{4})-(\\d{2})-(\\d{2})\", str(iso or \"\"))\n if not m:\n return \"\"\n return f\"{int(m.group(3))} {_MOIS[int(m.group(2))]}\"\n\n\ndef _property_type(nom: str) -> str:\n bas = nom.lower()\n if \"motel\" in bas:\n return \"Motel\"\n if \"auberge\" in bas:\n return \"Auberge\"\n return \"Hôtel\"\n\n\nclass SitHotels(StConnector):\n source_id = \"sithotels\"\n use_detail_cache = False # une seule requête : rien à cacher\n timeout = 120 # le JSON fait ~11 Mo\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n ville = str(adresse.get(\"Municipalite\") or \"\").strip()\n rue = str(adresse.get(\"Numerovoie\") or \"\").strip()\n region = _region(rec)\n\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n\n # site web de l'hôtel, sinon recherche BonjourQuébec (lien stable)\n url = _coordonnees(rec, \"SiteInternets\")\n if url.startswith(\"www.\"):\n url = \"https://\" + url\n details: dict = {}\n if not url.startswith((\"http://\", \"https://\")):\n url = BQ_RECHERCHE + quote_plus(f\"{titre} {ville}\".strip())\n details[\"lien\"] = \"recherche-bonjourquebec\"\n\n citq = \"\"\n for n in rec.get(\"NumeroEnregistrementHebergements\") or []:\n v = str(n.get(\"Numerodenregistrementdhebergement\") or \"\").strip()\n if v:\n citq = v\n break\n\n # unités et capacité TOTALE de l'hôtel → details (pas `capacity`)\n cap = (rec.get(\"CapaciteMaximaleHebergements\") or [{}])[0]\n unites = cap.get(\"Nombredunitescommercialisablesseparement\")\n cap_totale = cap.get(\"Capacitemaximaleenhebergementnombredepersonnes\")\n types_unites = []\n for u in rec.get(\"Unitess\") or []:\n n, lib = u.get(\"Nombredunites\"), \\\n (u.get(\"Typedunite\") or {}).get(\"ThesLibelle\") or \"\"\n if n and lib:\n lib = lib.lower()\n plur = {\"chambre\": \"chambres\", \"suite\": \"suites\",\n \"appartement\": \"appartements\"}.get(lib, lib)\n types_unites.append(f\"{n} {plur if n > 1 else lib}\")\n if unites:\n details[\"units\"] = unites\n if cap_totale:\n details[\"total_capacity\"] = cap_totale\n if types_unites:\n details[\"unit_types\"] = \", \".join(types_unites)\n\n # services → commodités ; environnement → contexte + drapeau\n amenities = []\n for g in GROUPES_SERVICES:\n for lib in _libelles(rec, g):\n if lib not in amenities:\n amenities.append(lib)\n environnement = _libelles(rec, \"Environnements\")\n if any(\"bord d'une rivière\" in e.lower() for e in environnement):\n details[\"waterfront\"] = True\n\n # accessibilité Kéroul (bloc à part, pas la forme générique)\n for a in rec.get(\"Accessibilites\") or []:\n cote = (a.get(\"CotedaccessibiliteselonKeroul\") or {}) \\\n .get(\"ThesLibelle\")\n if cote:\n details[\"keroul\"] = cote\n break\n\n pets_libs = _libelles(rec, \"ServicesAnimauxCompagnies\")\n pets = None\n if any(\"gratuit\" in l.lower() for l in pets_libs):\n pets = \"oui\"\n elif pets_libs:\n pets = \"conditions\"\n\n # période d'exploitation\n exploitation, saison = \"\", \"\"\n for p in rec.get(\"PeriodeOuvertures\") or []:\n exploitation = (p.get(\"Typedexploitation\") or {}) \\\n .get(\"ThesLibelle\") or \"\"\n if exploitation:\n deb, fin = _date_fr(p.get(\"Datedebut\")), \\\n _date_fr(p.get(\"Datefin\"))\n if exploitation.lower().startswith(\"saison\") and deb and fin:\n saison = f\"du {deb} au {fin}\"\n break\n if exploitation:\n details[\"exploitation\"] = (f\"{exploitation} {saison}\".strip()\n if saison else exploitation)\n\n tel = _coordonnees(rec, \"TelephonePrincipals\")\n courriel = _coordonnees(rec, \"Courriels\")\n if tel:\n details[\"phone\"] = tel\n if courriel:\n details[\"email\"] = courriel\n cp = str(adresse.get(\"CodePostal\") or \"\").strip()\n if cp:\n details[\"postal_code\"] = cp\n\n ptype = _property_type(titre)\n\n # description éditoriale assemblée à partir des faits\n feminin = ptype == \"Auberge\"\n phrases = []\n p1 = f\"{titre} est un{'e' if feminin else ''} {ptype.lower()}\"\n if unites:\n p1 += f\" de {unites} unité{'s' if unites > 1 else ''}\"\n if types_unites:\n p1 += f\" ({', '.join(types_unites)})\"\n if ville:\n p1 += f\" situé{'e' if feminin else ''} à {ville}\"\n if region:\n p1 += f\", dans la région {region}\"\n phrases.append(p1 + \".\")\n if cap_totale:\n phrases.append(\"L'établissement peut accueillir jusqu'à \"\n f\"{cap_totale} personnes au total.\")\n if environnement:\n phrases.append(\"Emplacement : \"\n + \", \".join(e[0].lower() + e[1:]\n for e in environnement) + \".\")\n if amenities:\n aff = [a[0].lower() + a[1:] for a in amenities[:10]]\n phrases.append(\"Sur place : \" + \", \".join(aff) + \".\")\n if pets == \"oui\":\n phrases.append(\"Animaux de compagnie admis gratuitement.\")\n elif pets == \"conditions\":\n phrases.append(\"Animaux de compagnie admis avec frais.\")\n if saison:\n phrases.append(f\"Exploitation saisonnière, {saison}.\")\n elif exploitation.lower().startswith(\"annuel\"):\n phrases.append(\"Ouvert à l'année.\")\n if citq:\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {citq}).\")\n\n listings.append(StListing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=titre,\n property_type=ptype,\n address=rue,\n city=ville,\n region=region,\n price_night=None,\n price_label=\"\",\n pets=pets,\n citq=citq,\n description=\" \".join(phrases),\n amenities=amenities,\n details=details,\n lat=lat,\n lng=lng,\n ))\n return listings\n","structuredPatch":[{"oldStart":166,"oldLines":15,"newStart":166,"newLines":37,"lines":[" use_detail_cache = False # une seule requête : rien à cacher"," timeout = 120 # le JSON fait ~11 Mo"," ","+ # -- hôtels déjà couverts par un connecteur moteur (fiche plus riche) ------","+ @staticmethod","+ def _couverts() -> set[str]:","+ try:","+ table = json.loads(ENGINES.read_text(encoding=\"utf-8\"))","+ except (OSError, ValueError) as exc:","+ print(f\"[sithotels] table moteurs illisible ({exc}) — aucun saut\",","+ file=sys.stderr)","+ return set()","+ return {","+ str(h.get(\"sit_id\") or \"\")","+ for h in table.get(\"hotels\") or []","+ if h.get(\"engine\") in ENGINES_COUVERTS","+ and (h.get(\"engine_ids\") or {}).get(","+ \"distributor\" if h.get(\"engine\") == \"mews\" else \"hotelid\")","+ }","+"," # -- contrat ---------------------------------------------------------------"," def fetch(self) -> list[StListing]:","+ couverts = self._couverts()"," data = self.get(DATASET).json()"," listings: list[StListing] = []","+ sautes = 0"," for rec in data.get(\"value\") or []:"," ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()"," titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))"," if not ext_id or not titre:"," continue","+ if ext_id in couverts:","+ sautes += 1","+ continue"," "," adresse = (rec.get(\"Adresses\") or [{}])[0]"," ville = str(adresse.get(\"Municipalite\") or \"\").strip()"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"86b3ad6f-a844-42c1-82a1-364c17f420a4","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBqH3tJy7hdzSC4Woxu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y7h6PDa1XBvbHVjebgPaaC","name":"Bash","input":{"command":"grep -n \"return listings\" louka/shortterm/connectors/sithotels.py","description":"Find end of fetch in sithotels"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":833,"cache_read_input_tokens":116739,"cache_creation":{"ephemeral_5m_input_tokens":833,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"63bd7652-aebc-444c-802a-d120a7c6f9ef"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y7h6PDa1XBvbHVjebgPaaC","type":"tool_result","content":"354: return listings","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8e7db64e-e40a-4d83-b3c0-3ef32d8f39ed","timestamp":"2026-08-25T21:36:45.385Z","tool_use_result":{"stdout":"354: return listings","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f3047b23-da62-4481-83f0-f2b64be8e065","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBqduWViEtfinhtRxYX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UwkCzNhArw1Q5Y2PRuBqcb","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","offset":346,"limit":9},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":147,"cache_read_input_tokens":117572,"cache_creation":{"ephemeral_5m_input_tokens":147,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"997c0d19-62f3-486b-9812-c5cff8266906"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UwkCzNhArw1Q5Y2PRuBqcb","type":"tool_result","content":"346\t pets=pets,\n347\t citq=citq,\n348\t description=\" \".join(phrases),\n349\t amenities=amenities,\n350\t details=details,\n351\t lat=lat,\n352\t lng=lng,\n353\t ))\n354\t return listings"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"64f798d7-10b2-4f10-ab22-03979d455a55","timestamp":"2026-08-25T21:36:49.138Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","content":" pets=pets,\n citq=citq,\n description=\" \".join(phrases),\n amenities=amenities,\n details=details,\n lat=lat,\n lng=lng,\n ))\n return listings","numLines":9,"startLine":346,"totalLines":355}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0fff5370-060b-49a7-961e-4cb32edcce01","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBqvF263WJRxPnBrsP3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MV1nnHF648HiBC6RDw3sjw","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","old_string":" ))\n return listings","new_string":" ))\n if sautes:\n print(f\"[sithotels] {sautes} hôtels sautés (couverts par un \"\n f\"connecteur moteur), {len(listings)} fiches squelettes\",\n file=sys.stderr)\n return listings"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":224,"cache_read_input_tokens":117719,"cache_creation":{"ephemeral_5m_input_tokens":224,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"68658e93-4248-42d7-9939-b41cbc70ff65"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MV1nnHF648HiBC6RDw3sjw","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a8a0814c-845b-49a0-9f85-e5d2e106c73f","timestamp":"2026-08-25T21:36:54.052Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/sithotels.py","oldString":" ))\n return listings","newString":" ))\n if sautes:\n print(f\"[sithotels] {sautes} hôtels sautés (couverts par un \"\n f\"connecteur moteur), {len(listings)} fiches squelettes\",\n file=sys.stderr)\n return listings","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/sithotels.py : « Hôtels — SIT Québec » — le répertoire OFFICIEL\n# des hôtels du Québec (ministère du Tourisme / CITQ / AHQ), publié sur\n# Données Québec et syndiqué par Tourinsoft. ~1 910 établissements, JSON\n# public sans auth (~11 Mo), mis à jour quotidiennement.\n#\n# Méthode :\n# 1. UNE requête : le dataset complet vit derrière une seule URL Tourinsoft\n# ({\"value\": [fiches…]}) — pas de pagination, pas de pages détail, donc\n# pas de cache BD (use_detail_cache = False).\n# 2. Chaque fiche Tourinsoft est un agrégat de blocs (Adresses,\n# Geolocalisations, SiteInternets, Unitess, CapaciteMaximaleHebergements,\n# NumeroEnregistrementHebergements, Services*…) dont les libellés vivent\n# dans des dicts {ThesID, ThesLibelle} imbriqués — extraction générique\n# via _libelles().\n# 3. La région touristique s'obtient en joignant ZonesGeographiquess et\n# ZonesGeographiquesTypes sur ZoneId (type « Région touristique ») ;\n# variantes du dataset ramenées au canon Lou-Ka (Côte-Nord (Duplessis/\n# Manicouagan) → Côte-Nord, Baie-James & Eeyou Istchee → Eeyou Istchee\n# Baie-James, «--» → tiret cadratin pour Saguenay–Lac-Saint-Jean).\n#\n# Particularités assumées :\n# - PAS de prix ni de photos dans le dataset (squelette d'inventaire\n# officiel) → price_night=None, price_label=\"\" (« Prix sur demande »).\n# - `capacity` (personnes PAR unité sur le site) reste vide : le nombre\n# d'unités et la capacité totale de l'hôtel vont dans details[\"units\"] /\n# details[\"total_capacity\"] et dans la description.\n# - URL : site web de l'établissement si présent (~61 % des fiches, parfois\n# directement un moteur Reservit) ; sinon repli sur la recherche\n# BonjourQuébec (?keys= , paramètre Drupal vérifié) — lien\n# public stable qui présente l'établissement ; aucune fiche abandonnée.\n# - Noms livrés EN MAJUSCULES → recasage français (_titre) en gardant les\n# particules (de, du, des, l'…) en minuscules.\n# - external_id = SyndicObjectID (stable, unique — vérifié) ; le numéro\n# d'enregistrement CITQ (100 % des fiches) va dans `citq`.\n# - Animaux : « admis gratuitement » → oui ; « admis payant » → conditions.\n# - Description : court paragraphe éditorial assemblé à partir des faits\n# (type, unités, ville/région, environnement, services, animaux, période\n# d'exploitation, no CITQ) — rien d'inventé.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport re\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote_plus\n\nfrom ..schema import StListing\nfrom .base import StConnector\n\n# table hôtel → moteur de résa (scripts/detect_hotel_engines.py) : les hôtels\n# couverts par un connecteur riche (mews, reservit) sont sautés ici pour ne\n# pas doubler leur fiche avec un squelette sans prix ni photos\nENGINES = Path(__file__).resolve().parents[3] / \"data\" / \"hotels_engines.json\"\nENGINES_COUVERTS = {\"mews\", \"reservit\"}\n\nDATASET = (\"https://api-v3.tourinsoft.com/api/syndications/mto.tourinsoft.com/\"\n \"535f2f61-f91a-47c1-827d-ecc908c17dba?format=json\")\n\nBQ_RECHERCHE = \"https://www.bonjourquebec.com/fr-ca/recherche?keys=\"\n\n# blocs Tourinsoft dont les libellés deviennent des commodités\nGROUPES_SERVICES = [\n \"ServicesDisponibless\", \"ServicesRestaurations\", \"ServicesTransports\",\n \"ActivitesSportivesNautiquess\", \"ActivitesSportivesTerrestress\",\n \"ActivitesRecreativesCulturelless\", \"LocationEquipements\",\n]\n\n# variantes de région du dataset → canon Lou-Ka (le reste passe par\n# normalize_region dans finalize())\nREGION_FIX = {\n \"Baie-James\": \"Eeyou Istchee Baie-James\",\n \"Eeyou Istchee\": \"Eeyou Istchee Baie-James\",\n}\n\n# particules françaises gardées en minuscules lors du recasage des noms\n_PARTICULES = {\n \"de\", \"du\", \"des\", \"la\", \"le\", \"les\", \"l\", \"d\", \"a\", \"à\", \"au\", \"aux\",\n \"et\", \"en\", \"sur\", \"sous\", \"chez\", \"un\", \"une\", \"par\", \"pour\",\n \"the\", \"of\", \"and\", \"at\", \"on\", \"by\",\n}\n\n_MOIS = [\"\", \"janvier\", \"février\", \"mars\", \"avril\", \"mai\", \"juin\", \"juillet\",\n \"août\", \"septembre\", \"octobre\", \"novembre\", \"décembre\"]\n\n_SEG_RE = re.compile(r\"(['’\\-])\")\n\n\ndef _titre(nom: str) -> str:\n \"\"\"Recase un nom livré en MAJUSCULES (« HÔTEL L'OIE DES NEIGES » →\n « Hôtel l'Oie des Neiges ») ; les noms déjà en casse mixte sont gardés.\"\"\"\n nom = re.sub(r\"\\s+\", \" \", (nom or \"\").strip())\n if not nom or nom != nom.upper():\n return nom\n mots = []\n for i, mot in enumerate(nom.lower().split(\" \")):\n segs = _SEG_RE.split(mot) # « l'oie » → [l, ', oie]\n for j in range(0, len(segs), 2):\n seg = segs[j]\n if not seg:\n continue\n if (i == 0 and j == 0) or seg not in _PARTICULES:\n segs[j] = seg[0].upper() + seg[1:]\n mots.append(\"\".join(segs))\n return \" \".join(mots)\n\n\ndef _libelles(rec: dict, key: str) -> list[str]:\n \"\"\"Extrait les ThesLibelle d'un bloc Tourinsoft (listes de dicts dont la\n clé interne varie : Servicesdisponibles, Environnement…).\"\"\"\n out: list[str] = []\n for blk in rec.get(key) or []:\n if not isinstance(blk, dict):\n continue\n for v in blk.values():\n if isinstance(v, list):\n for it in v:\n if isinstance(it, dict) and it.get(\"ThesLibelle\"):\n lib = str(it[\"ThesLibelle\"]).strip()\n if lib and lib not in out:\n out.append(lib)\n return out\n\n\ndef _region(rec: dict) -> str:\n \"\"\"Jointure ZonesGeographiquess × ZonesGeographiquesTypes → région\n touristique, ramenée vers le canon Lou-Ka.\"\"\"\n types = {z.get(\"ZoneId\"): z.get(\"ZoneTypeLibelle\")\n for z in rec.get(\"ZonesGeographiquesTypes\") or []}\n for z in rec.get(\"ZonesGeographiquess\") or []:\n if types.get(z.get(\"ZoneId\")) == \"Région touristique\":\n raw = re.sub(r\"\\s*\\([^)]*\\)\\s*$\", \"\", str(z.get(\"ZoneLibelle\") or \"\"))\n raw = raw.replace(\"--\", \"–\").strip()\n return REGION_FIX.get(raw, raw)\n return \"\"\n\n\ndef _coordonnees(rec: dict, key: str) -> str:\n for c in rec.get(key) or []:\n v = str(c.get(\"Coordonnees\") or \"\").strip()\n if v:\n return v\n return \"\"\n\n\ndef _date_fr(iso: str) -> str:\n m = re.match(r\"(\\d{4})-(\\d{2})-(\\d{2})\", str(iso or \"\"))\n if not m:\n return \"\"\n return f\"{int(m.group(3))} {_MOIS[int(m.group(2))]}\"\n\n\ndef _property_type(nom: str) -> str:\n bas = nom.lower()\n if \"motel\" in bas:\n return \"Motel\"\n if \"auberge\" in bas:\n return \"Auberge\"\n return \"Hôtel\"\n\n\nclass SitHotels(StConnector):\n source_id = \"sithotels\"\n use_detail_cache = False # une seule requête : rien à cacher\n timeout = 120 # le JSON fait ~11 Mo\n\n # -- hôtels déjà couverts par un connecteur moteur (fiche plus riche) ------\n @staticmethod\n def _couverts() -> set[str]:\n try:\n table = json.loads(ENGINES.read_text(encoding=\"utf-8\"))\n except (OSError, ValueError) as exc:\n print(f\"[sithotels] table moteurs illisible ({exc}) — aucun saut\",\n file=sys.stderr)\n return set()\n return {\n str(h.get(\"sit_id\") or \"\")\n for h in table.get(\"hotels\") or []\n if h.get(\"engine\") in ENGINES_COUVERTS\n and (h.get(\"engine_ids\") or {}).get(\n \"distributor\" if h.get(\"engine\") == \"mews\" else \"hotelid\")\n }\n\n # -- contrat ---------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n couverts = self._couverts()\n data = self.get(DATASET).json()\n listings: list[StListing] = []\n sautes = 0\n for rec in data.get(\"value\") or []:\n ext_id = str(rec.get(\"SyndicObjectID\") or \"\").strip()\n titre = _titre(str(rec.get(\"SyndicObjectName\") or \"\"))\n if not ext_id or not titre:\n continue\n if ext_id in couverts:\n sautes += 1\n continue\n\n adresse = (rec.get(\"Adresses\") or [{}])[0]\n ville = str(adresse.get(\"Municipalite\") or \"\").strip()\n rue = str(adresse.get(\"Numerovoie\") or \"\").strip()\n region = _region(rec)\n\n geo = (rec.get(\"Geolocalisations\") or [{}])[0]\n try:\n lat, lng = float(geo.get(\"Latitude\")), float(geo.get(\"Longitude\"))\n except (TypeError, ValueError):\n lat = lng = None\n\n # site web de l'hôtel, sinon recherche BonjourQuébec (lien stable)\n url = _coordonnees(rec, \"SiteInternets\")\n if url.startswith(\"www.\"):\n url = \"https://\" + url\n details: dict = {}\n if not url.startswith((\"http://\", \"https://\")):\n url = BQ_RECHERCHE + quote_plus(f\"{titre} {ville}\".strip())\n details[\"lien\"] = \"recherche-bonjourquebec\"\n\n citq = \"\"\n for n in rec.get(\"NumeroEnregistrementHebergements\") or []:\n v = str(n.get(\"Numerodenregistrementdhebergement\") or \"\").strip()\n if v:\n citq = v\n break\n\n # unités et capacité TOTALE de l'hôtel → details (pas `capacity`)\n cap = (rec.get(\"CapaciteMaximaleHebergements\") or [{}])[0]\n unites = cap.get(\"Nombredunitescommercialisablesseparement\")\n cap_totale = cap.get(\"Capacitemaximaleenhebergementnombredepersonnes\")\n types_unites = []\n for u in rec.get(\"Unitess\") or []:\n n, lib = u.get(\"Nombredunites\"), \\\n (u.get(\"Typedunite\") or {}).get(\"ThesLibelle\") or \"\"\n if n and lib:\n lib = lib.lower()\n plur = {\"chambre\": \"chambres\", \"suite\": \"suites\",\n \"appartement\": \"appartements\"}.get(lib, lib)\n types_unites.append(f\"{n} {plur if n > 1 else lib}\")\n if unites:\n details[\"units\"] = unites\n if cap_totale:\n details[\"total_capacity\"] = cap_totale\n if types_unites:\n details[\"unit_types\"] = \", \".join(types_unites)\n\n # services → commodités ; environnement → contexte + drapeau\n amenities = []\n for g in GROUPES_SERVICES:\n for lib in _libelles(rec, g):\n if lib not in amenities:\n amenities.append(lib)\n environnement = _libelles(rec, \"Environnements\")\n if any(\"bord d'une rivière\" in e.lower() for e in environnement):\n details[\"waterfront\"] = True\n\n # accessibilité Kéroul (bloc à part, pas la forme générique)\n for a in rec.get(\"Accessibilites\") or []:\n cote = (a.get(\"CotedaccessibiliteselonKeroul\") or {}) \\\n .get(\"ThesLibelle\")\n if cote:\n details[\"keroul\"] = cote\n break\n\n pets_libs = _libelles(rec, \"ServicesAnimauxCompagnies\")\n pets = None\n if any(\"gratuit\" in l.lower() for l in pets_libs):\n pets = \"oui\"\n elif pets_libs:\n pets = \"conditions\"\n\n # période d'exploitation\n exploitation, saison = \"\", \"\"\n for p in rec.get(\"PeriodeOuvertures\") or []:\n exploitation = (p.get(\"Typedexploitation\") or {}) \\\n .get(\"ThesLibelle\") or \"\"\n if exploitation:\n deb, fin = _date_fr(p.get(\"Datedebut\")), \\\n _date_fr(p.get(\"Datefin\"))\n if exploitation.lower().startswith(\"saison\") and deb and fin:\n saison = f\"du {deb} au {fin}\"\n break\n if exploitation:\n details[\"exploitation\"] = (f\"{exploitation} {saison}\".strip()\n if saison else exploitation)\n\n tel = _coordonnees(rec, \"TelephonePrincipals\")\n courriel = _coordonnees(rec, \"Courriels\")\n if tel:\n details[\"phone\"] = tel\n if courriel:\n details[\"email\"] = courriel\n cp = str(adresse.get(\"CodePostal\") or \"\").strip()\n if cp:\n details[\"postal_code\"] = cp\n\n ptype = _property_type(titre)\n\n # description éditoriale assemblée à partir des faits\n feminin = ptype == \"Auberge\"\n phrases = []\n p1 = f\"{titre} est un{'e' if feminin else ''} {ptype.lower()}\"\n if unites:\n p1 += f\" de {unites} unité{'s' if unites > 1 else ''}\"\n if types_unites:\n p1 += f\" ({', '.join(types_unites)})\"\n if ville:\n p1 += f\" situé{'e' if feminin else ''} à {ville}\"\n if region:\n p1 += f\", dans la région {region}\"\n phrases.append(p1 + \".\")\n if cap_totale:\n phrases.append(\"L'établissement peut accueillir jusqu'à \"\n f\"{cap_totale} personnes au total.\")\n if environnement:\n phrases.append(\"Emplacement : \"\n + \", \".join(e[0].lower() + e[1:]\n for e in environnement) + \".\")\n if amenities:\n aff = [a[0].lower() + a[1:] for a in amenities[:10]]\n phrases.append(\"Sur place : \" + \", \".join(aff) + \".\")\n if pets == \"oui\":\n phrases.append(\"Animaux de compagnie admis gratuitement.\")\n elif pets == \"conditions\":\n phrases.append(\"Animaux de compagnie admis avec frais.\")\n if saison:\n phrases.append(f\"Exploitation saisonnière, {saison}.\")\n elif exploitation.lower().startswith(\"annuel\"):\n phrases.append(\"Ouvert à l'année.\")\n if citq:\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {citq}).\")\n\n listings.append(StListing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=titre,\n property_type=ptype,\n address=rue,\n city=ville,\n region=region,\n price_night=None,\n price_label=\"\",\n pets=pets,\n citq=citq,\n description=\" \".join(phrases),\n amenities=amenities,\n details=details,\n lat=lat,\n lng=lng,\n ))\n return listings\n","structuredPatch":[{"oldStart":351,"oldLines":4,"newStart":351,"newLines":8,"lines":[" lat=lat,"," lng=lng,"," ))","+ if sautes:","+ print(f\"[sithotels] {sautes} hôtels sautés (couverts par un \"","+ f\"connecteur moteur), {len(listings)} fiches squelettes\",","+ file=sys.stderr)"," return listings"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a69762b2-324b-4d93-993c-579080b796bc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBrGyT4nn1BATPwocJz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JM2GL5xKGyTBJJwKu5ur2E","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nfrom louka.shortterm.connectors.sithotels import SitHotels\nc = SitHotels._couverts()\nprint(len(c), \"sit_id couverts (attendu ≈ 110 mews + 247 reservit, moins doublons)\")\nEOF","description":"Test the coverage-skip helper"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":307,"cache_read_input_tokens":117943,"cache_creation":{"ephemeral_5m_input_tokens":307,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"20f226aa-48c4-4979-b572-8b98ce391653"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JM2GL5xKGyTBJJwKu5ur2E","type":"tool_result","content":"368 sit_id couverts (attendu ≈ 110 mews + 247 reservit, moins doublons)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c7654774-9276-4bb7-b23a-e907ee291155","timestamp":"2026-08-25T21:36:58.670Z","tool_use_result":{"stdout":"368 sit_id couverts (attendu ≈ 110 mews + 247 reservit, moins doublons)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4fc6705e-8b2a-40a0-ae6d-e2d05e36345d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBrcbA7EiMsXoYKoYCv","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":218,"cache_read_input_tokens":118250,"cache_creation":{"ephemeral_5m_input_tokens":218,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1be6aa84-08de-4cd4-9ce2-9d6f70b7e5e5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBrcbA7EiMsXoYKoYCv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V67q6ZLXF6RVSTYH1o9T7F","name":"TodoWrite","input":{"todos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"completed","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques mews (121) + reservit (247)","status":"in_progress","activeForm":"Implémentation vague 2 hôtels (reservit en cours)"},{"content":"Filtre anti-doublons sithotels (hôtels couverts par mews/reservit) + CTA hôtels","status":"completed","activeForm":"Anti-doublons et CTA hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}]},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":218,"cache_read_input_tokens":118250,"cache_creation":{"ephemeral_5m_input_tokens":218,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a835d17c-38f9-4ca6-9b39-0d700413aba5"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V67q6ZLXF6RVSTYH1o9T7F","type":"tool_result","content":"Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3a7d52ad-7765-4311-bc87-476ab7111782","timestamp":"2026-08-25T21:37:12.661Z","tool_use_result":{"oldTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"completed","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques mews (121) + reservit (247)","status":"in_progress","activeForm":"Implémentation vague 2 hôtels"},{"content":"Filtre anti-doublons sithotels (hôtels couverts par mews/reservit) + CTA hôtels","status":"pending","activeForm":"Anti-doublons et CTA hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"newTodos":[{"content":"Campagne de syncs initiaux + re-syncs enrichis, surveiller et corriger","status":"in_progress","activeForm":"Surveillance de la campagne de syncs"},{"content":"Hôtels : base schéma (Hôtel/Motel) + catégorie hotels + registre","status":"completed","activeForm":"Préparation base hôtels (schéma + registre)"},{"content":"Hôtels vague 1 : connecteurs sithotels (1910) + origine (35) + job détection moteurs","status":"completed","activeForm":"Implémentation vague 1 hôtels"},{"content":"Hôtels vague 2 : connecteurs génériques mews (121) + reservit (247)","status":"in_progress","activeForm":"Implémentation vague 2 hôtels (reservit en cours)"},{"content":"Filtre anti-doublons sithotels (hôtels couverts par mews/reservit) + CTA hôtels","status":"completed","activeForm":"Anti-doublons et CTA hôtels"},{"content":"Syncs hôtels + commit/push + vérif site","status":"pending","activeForm":"Syncs hôtels et déploiement"},{"content":"Bilan final : couverture avant/après, healthcheck, mémoire","status":"pending","activeForm":"Bilan final de la campagne"}],"verificationNudgeNeeded":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4f0fcf2a-48ad-4bee-83da-96d5c0bc3126","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQBsePqN4hWmJvr6RCTH","type":"message","role":"assistant","content":[{"type":"text","text":"Avancement hôtels :\n\n- **Mews livré** : 110 hôtels (BALNEA 179 $, Griffintown 369 $…), API rétro-ingéniée (session signée md5 + Origin obligatoire), prix frais à chaque sync, 21-40 photos/fiche. J'ai patché le connecteur pour un repli géoloc/adresse sur le SIT → lat/lng passera de ~36 % à ~100 %.\n- **Anti-doublons** : `sithotels` saute désormais les 368 hôtels couverts par Mews/Reservit (fiche riche prioritaire, squelette pour les autres) — helper testé.\n- **CTA hôtels** : « Réserver en direct à l'hôtel ↗ » sur les fiches de catégorie hôtellerie.\n\nIl ne reste que l'agent **Reservit** (247 hôtels, le plus gros morceau) avant les syncs hôtels, le build/redéploiement et le commit groupé."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1055,"cache_read_input_tokens":118468,"cache_creation":{"ephemeral_5m_input_tokens":1055,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8b3a37cb-f98f-4bb1-9ccf-32d77f4b5b1e"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Writing louka/shortterm/connectors/reservit.py","usage":{"total_tokens":54424,"tool_uses":102,"duration_ms":1233933},"last_tool_name":"Write","uuid":"cd0bf50e-12b8-4293-a0aa-1f93257c0831","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Test Reservit connector on 7 restricted hotels","usage":{"total_tokens":61957,"tool_uses":103,"duration_ms":1250577},"last_tool_name":"Bash","uuid":"22ae92b2-911f-4561-ad07-f6144dbb84f5","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"boxkc0vk6","tool_use_id":"toolu_01TnmZpABsfMWtbvVEjgeiS7","description":"Test Reservit connector on 7 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{"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Editing louka/shortterm/connectors/reservit.py","usage":{"total_tokens":67956,"tool_uses":105,"duration_ms":1295469},"last_tool_name":"Edit","uuid":"b79fd758-6eb7-4784-9804-21a3c5f4da55","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Editing louka/shortterm/connectors/reservit.py","usage":{"total_tokens":67958,"tool_uses":106,"duration_ms":1296884},"last_tool_name":"Edit","uuid":"7b613dde-f2a2-41b6-a865-4246d2494de8","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","description":"Running Re-test title recasing and cp1252 fix; lint","usage":{"total_tokens":69831,"tool_uses":107,"duration_ms":1304686},"last_tool_name":"Bash","uuid":"6f51afa8-416a-4972-a493-cbfb0cd6f897","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bflky4qiq","tool_use_id":"toolu_015gK37TsokK54GQoGnCWAq5","description":"Re-test title recasing and cp1252 fix; lint","task_type":"local_bash","uuid":"84b86f81-4037-4c6a-b980-ee2ba34dcaf6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bflky4qiq","tool_use_id":"toolu_015gK37TsokK54GQoGnCWAq5","status":"completed","output_file":"","summary":"Re-test title recasing and cp1252 fix; lint","uuid":"06991d3a-c794-4d7d-b901-81abae9f1347","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"a3549cfe6621629b6","tool_use_id":"toolu_01D3DFuMonkXKUoNMaeUpyre","status":"completed","output_file":"/private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/a3549cfe6621629b6.output","summary":"Agent \"Connecteur CT reservit (247 hôtels)\" completed","usage":{"total_tokens":70531,"tool_uses":107,"duration_ms":1332404},"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9e0c878c-b536-460f-9cd0-0a3d2c1c5804"}} {"type":"claude","event":{"type":"system","subtype":"task_updated","task_id":"a3549cfe6621629b6","patch":{"status":"completed","end_time":1787693967519},"uuid":"a910ac2f-af54-4a44-af3f-8ca9799ed22a","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC3b8Qs6on7FRh1Y5Ks","type":"message","role":"assistant","content":[{"type":"text","text":"Reservit livré (API moderne rétro-ingéniée, ~65-70 % avec prix, fiches complètes même pour les hôtels sans dispo). La vague 2 est complète — je lance le sync initial des 4 sources hôtels et le build frontend en parallèle."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1786,"cache_read_input_tokens":119523,"cache_creation":{"ephemeral_5m_input_tokens":1786,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6b5923f5-5363-4c5f-b169-b323a2c5e4cb"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC3b8Qs6on7FRh1Y5Ks","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Uz7z4mANos4HQHGaYN6YyA","name":"Bash","input":{"command":"tail -2 /tmp/louka-ct-campagne.log; grep -c \"^{'source'\" /tmp/louka-ct-campagne.log","description":"Check main campaign status before hotel 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visitées\n0","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"cf628653-3666-4c0a-b306-91378f42618a","timestamp":"2026-08-25T21:39:43.297Z","tool_use_result":{"stdout":"[airbnb] cellule (45.40,-75.69)→(45.48,-75.51) : 5 nouvelles (total 15302, req 1200/1200)\n[airbnb] budget épuisé (1200 req), 18 cellules non visitées\n0","stderr":"","interrupted":false,"isImage":false,"returnCodeInterpretation":"No matches found","noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a8883274-1639-43fc-bff0-68341d728ce7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC4kitpQoXZDpZp5dxz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1000,"cache_read_input_tokens":121309,"cache_creation":{"ephemeral_5m_input_tokens":1000,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"321b3dca-f4a7-4137-b486-b425b2e45aaa"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC4kitpQoXZDpZp5dxz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UuVFAoUFS8rYkrxhyCxwUz","name":"Bash","input":{"command":"pgrep -fl \"run.py sync-ct\" || echo \"AUCUN SYNC EN COURS\"","description":"Check if campaign sync process is alive"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1000,"cache_read_input_tokens":121309,"cache_creation":{"ephemeral_5m_input_tokens":1000,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"45920d33-43a6-487d-87f8-20203d3e47fe"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UuVFAoUFS8rYkrxhyCxwUz","type":"tool_result","content":"78837 /opt/homebrew/Cellar/python@3.14/3.14.4/Frameworks/Python.framework/Versions/3.14/Resources/Python.app/Contents/MacOS/Python run.py sync-ct chaleto hebergementcharlevoix chaletsalpins memoriachalets hebergia rezerve accestremblant chaletsdanslenord alouerauxiles lesversants rvmt boraboreal homminichalets gitesauquebec pourvoiries campingquebec tremblant_living gitespassant sepaq qldc kijiji_ct parcscanada glampinghub booking vrbo expedia bonjourquebec airbnb\n79375 /bin/zsh -c source /Users/simon-pierreboucher/.claude/shell-snapshots/snapshot-zsh-1787671013272-a2ahd5.sh 2>/dev/null || true && setopt NO_EXTENDED_GLOB 2>/dev/null || true && eval 'tail -n +1 -f /tmp/louka-ct-campagne.log | grep -E --line-buffered \"\\{'\"'\"'source'\"'\"'|Traceback|Error|ERREUR|error|exception|KO \" &\nTAILPID=$!\nuntil ! pgrep -f \"run.py sync-ct chaleto\" >/dev/null; do sleep 20; done\nsleep 2\nkill $TAILPID 2>/dev/null\necho \"CAMPAGNE TERMINÉE — dernières lignes :\"\ntail -5 /tmp/louka-ct-campagne.log' < /dev/null && pwd -P >| /tmp/claude-7097-cwd","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"7b1d0fb6-d5f4-4989-bfe7-2faa742f167e","timestamp":"2026-08-25T21:39:49.067Z","tool_use_result":{"stdout":"78837 /opt/homebrew/Cellar/python@3.14/3.14.4/Frameworks/Python.framework/Versions/3.14/Resources/Python.app/Contents/MacOS/Python run.py sync-ct chaleto hebergementcharlevoix chaletsalpins memoriachalets hebergia rezerve accestremblant chaletsdanslenord alouerauxiles lesversants rvmt boraboreal homminichalets gitesauquebec pourvoiries campingquebec tremblant_living gitespassant sepaq qldc kijiji_ct parcscanada glampinghub booking vrbo expedia bonjourquebec airbnb\n79375 /bin/zsh -c source /Users/simon-pierreboucher/.claude/shell-snapshots/snapshot-zsh-1787671013272-a2ahd5.sh 2>/dev/null || true && setopt NO_EXTENDED_GLOB 2>/dev/null || true && eval 'tail -n +1 -f /tmp/louka-ct-campagne.log | grep -E --line-buffered \"\\{'\"'\"'source'\"'\"'|Traceback|Error|ERREUR|error|exception|KO \" &\nTAILPID=$!\nuntil ! pgrep -f \"run.py sync-ct chaleto\" >/dev/null; do sleep 20; done\nsleep 2\nkill $TAILPID 2>/dev/null\necho \"CAMPAGNE TERMINÉE — dernières lignes :\"\ntail -5 /tmp/louka-ct-campagne.log' < /dev/null && pwd -P >| /tmp/claude-7097-cwd","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ad54a737-f06a-4b37-aaff-8d632c452a2d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC5BDYDBk5h6Kw2mTvH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015yJEdRdyd1Wg2sTER7ywDB","name":"Bash","input":{"command":"nohup .venv/bin/python run.py sync-ct sithotels origine mews reservit > /tmp/louka-ct-hotels.log 2>&1 & echo \"PID $!\"; sleep 10; tail -5 /tmp/louka-ct-hotels.log","description":"Launch initial sync of the 4 hotel sources detached"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":731,"cache_read_input_tokens":122309,"cache_creation":{"ephemeral_5m_input_tokens":731,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"8067c9c7-b8f7-427b-b1dd-fa532008354c"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bg3hoktxp","tool_use_id":"toolu_015yJEdRdyd1Wg2sTER7ywDB","status":"completed","output_file":"","summary":"Launch initial sync of the 4 hotel sources detached","uuid":"545765ef-4634-4189-9b45-83e589dc7c11","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bg3hoktxp","tool_use_id":"toolu_015yJEdRdyd1Wg2sTER7ywDB","description":"Launch initial sync of the 4 hotel sources detached","task_type":"local_bash","uuid":"1acefc6a-34ae-4825-80d7-a96c84a480e7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015yJEdRdyd1Wg2sTER7ywDB","type":"tool_result","content":"PID 3505\n[sithotels] 368 hôtels sautés (couverts par un connecteur moteur), 1542 fiches squelettes","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b71a34e2-e14c-47e0-9a4e-b18bf63f7649","timestamp":"2026-08-25T21:40:03.448Z","tool_use_result":{"stdout":"PID 3505\n[sithotels] 368 hôtels sautés (couverts par un connecteur moteur), 1542 fiches squelettes","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6e10c314-3781-4910-b661-b85ea6a84a23","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQC6EndVtHD5vgQpQnUE","type":"message","role":"assistant","content":[{"type":"text","text":"Le filtre anti-doublons fonctionne en réel (368 sautés, 1 542 squelettes). 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Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n[lou-ka/ct] sync sithotels ...\n[lou-ka/ct] {'source': 'sithotels', 'found': 1542, 'added': 1542, 'updated': 0, 'removed': 0, 'seconds': 2.4}\n[lou-ka/ct] sync origine ...\n[lou-ka/ct] {'source': 'origine', 'found': 35, 'added': 35, 'updated': 0, 'removed': 0, 'seconds': 32.1}\n[lou-ka/ct] sync mews ...\n[lou-ka/ct] {'source': 'mews', 'found': 110, 'added': 110, 'updated': 0, 'removed': 0, 'seconds': 291.8}\n[lou-ka/ct] sync reservit ...\n[lou-ka/ct] {'source': 'reservit', 'found': 235, 'added': 235, 'updated': 0, 'removed': 0, 'seconds': 724.5}","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1d098028-83c7-4e00-89dc-544c3df82afd","timestamp":"2026-08-25T21:57:54.182Z","tool_use_result":{"stdout":"---\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n[lou-ka/ct] sync sithotels ...\n[lou-ka/ct] {'source': 'sithotels', 'found': 1542, 'added': 1542, 'updated': 0, 'removed': 0, 'seconds': 2.4}\n[lou-ka/ct] sync origine ...\n[lou-ka/ct] {'source': 'origine', 'found': 35, 'added': 35, 'updated': 0, 'removed': 0, 'seconds': 32.1}\n[lou-ka/ct] sync mews ...\n[lou-ka/ct] {'source': 'mews', 'found': 110, 'added': 110, 'updated': 0, 'removed': 0, 'seconds': 291.8}\n[lou-ka/ct] sync reservit ...\n[lou-ka/ct] {'source': 'reservit', 'found': 235, 'added': 235, 'updated': 0, 'removed': 0, 'seconds': 724.5}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"015189d2-76ff-4815-9e98-a97772dc6f08","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDTAQQHhaJicZTp4YUM","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1220,"cache_read_input_tokens":124456,"cache_creation":{"ephemeral_5m_input_tokens":1220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"fbd0d195-968b-4c0b-bad4-692a23498b3b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDTAQQHhaJicZTp4YUM","type":"message","role":"assistant","content":[{"type":"text","text":"Sync hôtels réussi : **1 922 fiches ajoutées** (sithotels 1 542, origine 35, mews 110, reservit 235). Je vérifie la couverture en base, puis je redéploie."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1220,"cache_read_input_tokens":124456,"cache_creation":{"ephemeral_5m_input_tokens":1220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c16f1026-c4a4-4b87-9c9c-303d63e1c0b5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDTAQQHhaJicZTp4YUM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EmUR75gzU51sp3ZBbffpk4","name":"Bash","input":{"command":"sqlite3 data/louka_ct.db \"\nSELECT source, COUNT(*), SUM(price_night IS NOT NULL), SUM(json_array_length(images)>0), SUM(lat IS NOT NULL), SUM(citq!='') \nFROM ct_listings WHERE active=1 AND source IN ('sithotels','origine','mews','reservit') GROUP BY source;\nSELECT COUNT(*) FROM ct_listings WHERE active=1;\" 2>/dev/null || sqlite3 data/louka_ct.db \".tables\"","description":"Check hotel listings field coverage in DB"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1220,"cache_read_input_tokens":124456,"cache_creation":{"ephemeral_5m_input_tokens":1220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"213498c4-a778-40d7-b884-7425886589e2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EmUR75gzU51sp3ZBbffpk4","type":"tool_result","content":"st_detail_cache st_listings st_sync_log","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d971d710-ec37-45b4-ade2-afcfedcd69e8","timestamp":"2026-08-25T21:58:02.274Z","tool_use_result":{"stdout":"st_detail_cache st_listings st_sync_log","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2781b21c-cd4a-4500-a1a8-0586ba4b70d7","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDTm7TzCfyHou4FG7c1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bt73V3QxdTZY7TT3HmUwWK","name":"Bash","input":{"command":"sqlite3 data/louka_ct.db \"\nSELECT source, COUNT(*), SUM(price_night IS NOT NULL), SUM(json_array_length(images)>0), SUM(lat IS NOT NULL), SUM(citq!='')\nFROM st_listings WHERE active=1 AND source IN ('sithotels','origine','mews','reservit') GROUP BY source;\nSELECT 'TOTAL CT ACTIF', COUNT(*) FROM st_listings WHERE active=1;\"","description":"Hotel field coverage per source"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":491,"cache_read_input_tokens":125676,"cache_creation":{"ephemeral_5m_input_tokens":491,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6fc509e2-bf43-444d-a628-114b6bf48f03"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Bt73V3QxdTZY7TT3HmUwWK","type":"tool_result","content":"mews|110|103|110|108|110\norigine|35|35|35|35|34\nreservit|235|66|226|232|235\nsithotels|1542|0|0|1542|1542\nTOTAL CT ACTIF|46995","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b2704272-8d4b-4ed0-ac1e-66a1bcffe73b","timestamp":"2026-08-25T21:58:07.034Z","tool_use_result":{"stdout":"mews|110|103|110|108|110\norigine|35|35|35|35|34\nreservit|235|66|226|232|235\nsithotels|1542|0|0|1542|1542\nTOTAL CT ACTIF|46995","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"74cb4802-64ed-405f-b631-4722aca61236","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDU7LtG3N4EHybK6Pjn","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":126167,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"f5366a90-9fa7-4a8b-bcd5-f13c4086ffe5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDU7LtG3N4EHybK6Pjn","type":"message","role":"assistant","content":[{"type":"text","text":"Couverture bonne sauf le prix Reservit (66/235 = 28 % vs 65-70 % attendu). Je regarde le log pour comprendre."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":126167,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2949229c-28e9-426f-aa45-8f4195a1898f"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDU7LtG3N4EHybK6Pjn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JTu4g52BUciutMgcNtPSGe","name":"Bash","input":{"command":"grep \"\\[reservit\\]\" /tmp/louka-ct-hotels.log | head -20; echo ...; grep \"\\[reservit\\]\" /tmp/louka-ct-hotels.log | tail -5; grep -c \"\\[reservit\\]\" /tmp/louka-ct-hotels.log","description":"Inspect reservit price failures in sync log"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":328,"cache_read_input_tokens":126167,"cache_creation":{"ephemeral_5m_input_tokens":328,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6907f117-4067-43d0-b01d-e64781a9068e"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JTu4g52BUciutMgcNtPSGe","type":"tool_result","content":"[reservit] prix Hôtel et Suites Le Dauphin Drummondville- SITE OFFICIEL (58/118960) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-118960-da736823/booking.do?step=2&custid=58&id=58&hotelid=118960&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] métadonnées HÔTEL MAISON OTIS (254793) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-254793-a2ace058/front.do?m=booking&mode=light&custid=58&id=58&hotelid=254793&partid=0&langcode=FR\n[reservit] prix Auberge Le Cabanon (58/451288) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-451288-3b37846b/front.do?m=booking&mode=light&custid=58&id=58&hotelid=451288&partid=0&langcode=FR\n[reservit] prix Motel RDL - Au Vieux Piloteux (58/477388) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-477388-2310254e/booking.do?step=2&custid=58&id=58&hotelid=477388&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] métadonnées HÔTEL-SPA WATEL (29383) : 'NoneType' object does not support item assignment\n[reservit] prix Hôtel-Spa Watel (270/29383) : 'NoneType' object does not support item assignment\n[reservit] prix Motel Castille (58/429470) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-429470-870b7db5/booking.do?step=2&custid=58&id=58&hotelid=429470&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Beausejour (58/93734) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-93734-df7ff419/booking.do?step=2&custid=58&id=58&hotelid=93734&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Hôtel Central (58/449073) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-449073-a65c3e38/booking.do?step=2&custid=58&id=58&hotelid=449073&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge des Cantons (58/449309) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-449309-27f0307f/front.do?m=booking&mode=light&custid=58&id=58&hotelid=449309&partid=0&langcode=FR\n[reservit] métadonnées AUBERGE SAINT-MATHIEU (425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Auberge Saint-Mathieu (2271/425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Resto pub au fin gourmet (58/469730) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-469730-44f5bfc3/booking.do?step=2&custid=58&id=58&hotelid=469730&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Ma Maison (58/432203) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-432203-5ae05586/booking.do?step=2&custid=58&id=58&hotelid=432203&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Spa Beaux Rêves (58/454881) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel le Manoir (58/188096) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge Happy Logis (58/344194) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge Lakeview Inn (58/93677) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Bistro Petit Hôtel Café Krieghoff (58/237840) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge des 3 canards (58/198970) : Expecting value: line 3 column 1 (char 2)\n...\n[reservit] prix Auberge des 3 canards (58/198970) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Havana (359/436907) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel Bromont (58/428839) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel & Suites Normandin Québec (515/13445) : Expecting value: line 3 column 1 (char 2)\n[reservit] 10 échecs de sondage de prix consécutifs : arrêt des requêtes prix (fiches sans prix ensuite)\n24","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2999d6af-7d8a-4830-be4a-bfb3c76affce","timestamp":"2026-08-25T21:58:15.681Z","tool_use_result":{"stdout":"[reservit] prix Hôtel et Suites Le Dauphin Drummondville- SITE OFFICIEL (58/118960) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-118960-da736823/booking.do?step=2&custid=58&id=58&hotelid=118960&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] métadonnées HÔTEL MAISON OTIS (254793) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-254793-a2ace058/front.do?m=booking&mode=light&custid=58&id=58&hotelid=254793&partid=0&langcode=FR\n[reservit] prix Auberge Le Cabanon (58/451288) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-451288-3b37846b/front.do?m=booking&mode=light&custid=58&id=58&hotelid=451288&partid=0&langcode=FR\n[reservit] prix Motel RDL - Au Vieux Piloteux (58/477388) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-477388-2310254e/booking.do?step=2&custid=58&id=58&hotelid=477388&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] métadonnées HÔTEL-SPA WATEL (29383) : 'NoneType' object does not support item assignment\n[reservit] prix Hôtel-Spa Watel (270/29383) : 'NoneType' object does not support item assignment\n[reservit] prix Motel Castille (58/429470) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-429470-870b7db5/booking.do?step=2&custid=58&id=58&hotelid=429470&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Beausejour (58/93734) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-93734-df7ff419/booking.do?step=2&custid=58&id=58&hotelid=93734&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Hôtel Central (58/449073) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-449073-a65c3e38/booking.do?step=2&custid=58&id=58&hotelid=449073&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge des Cantons (58/449309) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-449309-27f0307f/front.do?m=booking&mode=light&custid=58&id=58&hotelid=449309&partid=0&langcode=FR\n[reservit] métadonnées AUBERGE SAINT-MATHIEU (425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Auberge Saint-Mathieu (2271/425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Resto pub au fin gourmet (58/469730) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-469730-44f5bfc3/booking.do?step=2&custid=58&id=58&hotelid=469730&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Ma Maison (58/432203) : 500 Server Error: Internal Server Error for url: https://secure.reservit.com/front58-0-432203-5ae05586/booking.do?step=2&custid=58&id=58&hotelid=432203&partid=0&langcode=FR¤cy=CAD&fromStep=step1&fromdate=15%2F09%2F2026&todate=16%2F09%2F2026&fromDate=15%2F09%2F2026&toDate=16%2F09%2F2026&nbNight=1&roomID=1&nbRooms=1&numAdult%281%29=2&numChild%281%29=0&agesWithRoomID%281%29=\n[reservit] prix Auberge Spa Beaux Rêves (58/454881) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel le Manoir (58/188096) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge Happy Logis (58/344194) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge Lakeview Inn (58/93677) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Bistro Petit Hôtel Café Krieghoff (58/237840) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Auberge des 3 canards (58/198970) : Expecting value: line 3 column 1 (char 2)\n...\n[reservit] prix Auberge des 3 canards (58/198970) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Havana (359/436907) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel Bromont (58/428839) : Expecting value: line 3 column 1 (char 2)\n[reservit] prix Hotel & Suites Normandin Québec (515/13445) : Expecting value: line 3 column 1 (char 2)\n[reservit] 10 échecs de sondage de prix consécutifs : arrêt des requêtes prix (fiches sans prix ensuite)\n24","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b0337341-0feb-407b-bb0d-1ceabd4cf9b2","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDUkPqQbCGJYQGHjmWg","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3220,"cache_read_input_tokens":126495,"cache_creation":{"ephemeral_5m_input_tokens":3220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2341af04-11b6-4e47-9b4b-e31e9a926f75"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDUkPqQbCGJYQGHjmWg","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3220,"cache_read_input_tokens":126495,"cache_creation":{"ephemeral_5m_input_tokens":3220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"62728d0d-d0d6-4669-ab49-4ec781b543f3"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDUkPqQbCGJYQGHjmWg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F1ybff2RLJBT1if52xA25y","name":"Bash","input":{"command":"grep -n \"def \\|_BREAKER\\|breaker\\|session\\|tabid\\|_tab\" louka/shortterm/connectors/reservit.py | head -40","description":"List reservit connector methods"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3220,"cache_read_input_tokens":126495,"cache_creation":{"ephemeral_5m_input_tokens":3220,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d14dc684-b9d2-473c-9aa5-a5dc3b37518d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F1ybff2RLJBT1if52xA25y","type":"tool_result","content":"11:# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n12:# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n19:# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n24:# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n44:# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n75:def _tabid() -> str:\n80:def _custid(hotel: dict) -> str:\n91:def _past(date_fr: str) -> bool:\n100:def _clean(txt: str) -> str:\n114: # -- front.do « light » : métadonnées hôtel + session/token ----------------\n115: def _front_light(self, cid: str, hid: str) -> dict:\n116: tab = _tabid()\n118: self.session.cookies.clear()\n126: d[\"_base\"], d[\"_tab\"] = base, tab\n129: def _meta(self, cid: str, hid: str) -> dict:\n131: la session, périssables, ne sont jamais cachés).\"\"\"\n144: def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n152: token, sess = user.get(\"token\"), user.get(\"sessionID\")\n170: \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n196: def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n219: # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n297: def fetch(self) -> list[StListing]:\n312: price_failures = 0 # circuit breaker sur le sondage des prix","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bc08249e-56af-4ac2-8731-acda8af98cfd","timestamp":"2026-08-25T21:58:29.407Z","tool_use_result":{"stdout":"11:# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n12:# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n19:# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n24:# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n44:# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n75:def _tabid() -> str:\n80:def _custid(hotel: dict) -> str:\n91:def _past(date_fr: str) -> bool:\n100:def _clean(txt: str) -> str:\n114: # -- front.do « light » : métadonnées hôtel + session/token ----------------\n115: def _front_light(self, cid: str, hid: str) -> dict:\n116: tab = _tabid()\n118: self.session.cookies.clear()\n126: d[\"_base\"], d[\"_tab\"] = base, tab\n129: def _meta(self, cid: str, hid: str) -> dict:\n131: la session, périssables, ne sont jamais cachés).\"\"\"\n144: def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n152: token, sess = user.get(\"token\"), user.get(\"sessionID\")\n170: \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n196: def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n219: # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n297: def fetch(self) -> list[StListing]:\n312: price_failures = 0 # circuit breaker sur le sondage des prix","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e9520f36-e531-49e3-bf7c-d53474db7532","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDVmDyFp3v4ZzYwHFh5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0178V46foD35ChjrSfPAoUXT","name":"Bash","input":{"command":".venv/bin/python - <<'EOF'\nimport time\nfrom louka.shortterm.connectors.reservit import Reservit\n\nc = Reservit()\nc.use_detail_cache = False\nfor cid, hid, nom in [(\"58\",\"428839\",\"Hotel Bromont\"), (\"515\",\"13445\",\"Normandin Québec\"), (\"58\",\"198970\",\"3 canards\")]:\n try:\n price, extra = c._probe_price(cid, hid)\n print(nom, \"→\", price)\n except Exception as e:\n print(nom, \"ÉCHEC:\", type(e).__name__, str(e)[:120])\n time.sleep(2)\nEOF","description":"Retry price probe on 3 failed reservit hotels in isolation"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1401,"cache_read_input_tokens":129715,"cache_creation":{"ephemeral_5m_input_tokens":1401,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"67355b31-7bb3-4d95-9c39-ee21c47a9b18"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bq0wlfcs2","tool_use_id":"toolu_0178V46foD35ChjrSfPAoUXT","description":"Retry price probe on 3 failed reservit hotels in isolation","task_type":"local_bash","uuid":"ab26caf6-5810-4a24-9ea2-a9a4caed366c","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9bf61c23-ad6a-4c27-9843-77afa4947fbe","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bq0wlfcs2","tool_use_id":"toolu_0178V46foD35ChjrSfPAoUXT","status":"completed","output_file":"","summary":"Retry price probe on 3 failed reservit hotels in isolation","uuid":"506f138c-dfb0-4473-a21a-003154d9eded","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0178V46foD35ChjrSfPAoUXT","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\nHotel Bromont ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)\nNormandin Québec ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)\n3 canards ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"60ad83fd-5188-451a-a809-582b39e862f0","timestamp":"2026-08-25T21:58:53.563Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\n/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py:1110: InsecureRequestWarning: Unverified HTTPS request is being made to host 'pr.oxylabs.io'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n warnings.warn(\nHotel Bromont ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)\nNormandin Québec ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)\n3 canards ÉCHEC: JSONDecodeError Expecting value: line 3 column 1 (char 2)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDXYKPVdUgMijLs34uH","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1378,"cache_read_input_tokens":131116,"cache_creation":{"ephemeral_5m_input_tokens":1378,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"4906fbb9-3be1-4c12-a998-c826f3bb8fbb"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDXYKPVdUgMijLs34uH","type":"message","role":"assistant","content":[{"type":"text","text":"Toujours en échec, même en isolation — et je remarque que les requêtes passent par le proxy Oxylabs. Je capture la réponse brute pour voir ce que Reservit renvoie."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1378,"cache_read_input_tokens":131116,"cache_creation":{"ephemeral_5m_input_tokens":1378,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"426bed4b-247b-4528-be3c-aa2a64f07d47"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDXYKPVdUgMijLs34uH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ERL8iJYAyyHsQsmGe75cND","name":"Bash","input":{"command":"sed -n 144,196p louka/shortterm/connectors/reservit.py","description":"Read _probe_price implementation"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1378,"cache_read_input_tokens":131116,"cache_creation":{"ephemeral_5m_input_tokens":1378,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a2cc8798-82c6-43fb-b925-19a6538beeee"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ERL8iJYAyyHsQsmGe75cND","type":"tool_result","content":" def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"baa88108-4af7-49cd-8d02-64ee0ff1f8ff","timestamp":"2026-08-25T21:59:04.292Z","tool_use_result":{"stdout":" def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6d73e4d6-55f4-4912-8fb6-abcebd3a7afc","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDYLKrDCYR9SFRcUun8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013J9KoUP148nU96YPQd4b3q","name":"Bash","input":{"command":".venv/bin/python - <<'EOF' 2>/dev/null\nimport datetime as _dt\nfrom louka.shortterm.connectors.reservit import Reservit, _tabid\n\nc = Reservit(); c.use_detail_cache = False\nd = c._front_light(\"58\", \"428839\")\nuser = d.get(\"user\") or {}\ntok, sess = user.get(\"token\"), user.get(\"sessionID\")\nprint(\"token?\", bool(tok), \"sess?\", bool(sess))\nday = _dt.date.today() + _dt.timedelta(days=21)\nf = day.strftime(\"%d/%m/%Y\"); t = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\nresp = c.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\":\"2\",\"custid\":\"58\",\"id\":\"58\",\"hotelid\":\"428839\",\"partid\":\"0\",\n \"langcode\":\"FR\",\"currency\":\"CAD\",\"fromStep\":\"step1\",\n \"fromdate\":f,\"todate\":t,\"fromDate\":f,\"toDate\":t,\n \"nbNight\":\"1\",\"roomID\":\"1\",\"nbRooms\":\"1\",\n \"numAdult(1)\":\"2\",\"numChild(1)\":\"0\",\"agesWithRoomID(1)\":\"\"},\n headers={\"Accept\":\"application/json\",\"X-SessionID\":sess,\n \"X-MultiTabID\":d[\"_tab\"],\"Authorization\":\"Bearer \"+(tok or \"\")},\n cookies={\"JSESSIONID\":sess})\nprint(\"status\", resp.status_code, \"ctype\", resp.headers.get(\"content-type\"))\nprint(repr(resp.text[:400]))\nEOF","description":"Capture raw booking.do response for a failing hotel"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1515,"cache_read_input_tokens":132494,"cache_creation":{"ephemeral_5m_input_tokens":1515,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"63a9ac6a-558b-4a5f-b0fb-7cefe2635737"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bey2ut09g","tool_use_id":"toolu_013J9KoUP148nU96YPQd4b3q","description":"Capture raw booking.do response for a failing hotel","task_type":"local_bash","uuid":"eacf3e26-8089-4060-b141-c4a8ae44b4aa","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bey2ut09g","tool_use_id":"toolu_013J9KoUP148nU96YPQd4b3q","status":"completed","output_file":"","summary":"Capture raw booking.do response for a failing hotel","uuid":"b68fa72f-5cfa-4111-9754-611a26504628","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013J9KoUP148nU96YPQd4b3q","type":"tool_result","content":"token? True sess? True\nstatus 200 ctype text/html;charset=ISO-8859-15\n'\\n\\n\\n\\t\\n\\t\\t\\n\\t\\t\\n\\t\\tError Security Filter\\n\\t\\n\\t\\n\\t\\t\\n\\n
\\n \\n \\n
\\n \\n\\t\\n\\t\\t\\n\\t\\t\\n\\t\\tError Security Filter\\n\\t\\n\\t\\n\\t\\t\\n\\n
\\n \\n \\n
\\n ...\n socket_options=self.socket_options,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/connection.py\", line 85, in create_connection\n raise err\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/connection.py\", line 73, in create_connection\n sock.connect(sa)\n ~~~~~~~~~~~~^^^^\nConnectionRefusedError: [Errno 61] Connection refused\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 788, in urlopen\n response = self._make_request(\n conn,\n ...<10 lines>...\n **response_kw,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 488, in _make_request\n raise new_e\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 464, in _make_request\n self._validate_conn(conn)\n ~~~~~~~~~~~~~~~~~~~^^^^^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 1106, in _validate_conn\n conn.connect()\n ~~~~~~~~~~~~^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connection.py\", line 759, in connect\n self.sock = sock = self._new_conn()\n ~~~~~~~~~~~~~~^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connection.py\", line 219, in _new_conn\n raise NewConnectionError(\n self, f\"Failed to establish a new connection: {e}\"\n ) from e\nurllib3.exceptions.NewConnectionError: HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/adapters.py\", line 696, in send\n resp = conn.urlopen(\n method=request.method,\n ...<9 lines>...\n chunked=chunked,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 842, in urlopen\n retries = retries.increment(\n method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/retry.py\", line 543, in increment\n raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nurllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-428839-f14dd865/front.do?m=booking&mode=light&custid=58&id=58&hotelid=428839&partid=0&langcode=FR (Caused by NewConnectionError(\"HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\"))\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"\", line 8, in \n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 671, in get\n return self.request(\"GET\", url, params=params, **kwargs)\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 651, in request\n resp = self.send(prep, **send_kwargs)\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 784, in send\n r = adapter.send(request, **kwargs)\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/adapters.py\", line 729, in send\n raise ConnectionError(e, request=request)\nrequests.exceptions.ConnectionError: HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-428839-f14dd865/front.do?m=booking&mode=light&custid=58&id=58&hotelid=428839&partid=0&langcode=FR (Caused by NewConnectionError(\"HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\"))","is_error":true,"tool_use_id":"toolu_014bdJHNV9JiHEYnVLgomx2X"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ee281290-6a36-421e-b1f1-29ec248018f0","timestamp":"2026-08-25T21:59:39.442Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connection.py\", line 204, in _new_conn\n sock = connection.create_connection(\n (self._dns_host, self.port),\n ...<2 lines>...\n socket_options=self.socket_options,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/connection.py\", line 85, in create_connection\n raise err\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/connection.py\", line 73, in create_connection\n sock.connect(sa)\n ~~~~~~~~~~~~^^^^\nConnectionRefusedError: [Errno 61] Connection refused\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 788, in urlopen\n response = self._make_request(\n conn,\n ...<10 lines>...\n **response_kw,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 488, in _make_request\n raise new_e\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 464, in _make_request\n self._validate_conn(conn)\n ~~~~~~~~~~~~~~~~~~~^^^^^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 1106, in _validate_conn\n conn.connect()\n ~~~~~~~~~~~~^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connection.py\", line 759, in connect\n self.sock = sock = self._new_conn()\n ~~~~~~~~~~~~~~^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connection.py\", line 219, in _new_conn\n raise NewConnectionError(\n self, f\"Failed to establish a new connection: {e}\"\n ) from e\nurllib3.exceptions.NewConnectionError: HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/adapters.py\", line 696, in send\n resp = conn.urlopen(\n method=request.method,\n ...<9 lines>...\n chunked=chunked,\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/connectionpool.py\", line 842, in urlopen\n retries = retries.increment(\n method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]\n )\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/urllib3/util/retry.py\", line 543, in increment\n raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nurllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-428839-f14dd865/front.do?m=booking&mode=light&custid=58&id=58&hotelid=428839&partid=0&langcode=FR (Caused by NewConnectionError(\"HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\"))\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"\", line 8, in \n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 671, in get\n return self.request(\"GET\", url, params=params, **kwargs)\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 651, in request\n resp = self.send(prep, **send_kwargs)\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/sessions.py\", line 784, in send\n r = adapter.send(request, **kwargs)\n File \"/Users/simon-pierreboucher/apps/lou-ka/.venv/lib/python3.14/site-packages/requests/adapters.py\", line 729, in send\n raise ConnectionError(e, request=request)\nrequests.exceptions.ConnectionError: HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-428839-f14dd865/front.do?m=booking&mode=light&custid=58&id=58&hotelid=428839&partid=0&langcode=FR (Caused by NewConnectionError(\"HTTPSConnection(host='secure.reservit.com', port=443): Failed to establish a new connection: [Errno 61] Connection refused\"))"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f628e2e1-007a-4395-8448-93471b5f640f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDavgP3y5ibbhKzo8rd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISiA4KpwEIERgCKkBZjLlzIsR9AB1lsg5FacR+RR5CwZyy3rax4vVqWL4ZC2aBvd1y5MoMvKfN2ZPd4G5KV2wezKE0fIIqaMB8IOkuMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAHaoLjUBrABAhIMm9w1zXnf7+tnIxT0GgyZQcJy2SwGwI5IutMiMM9sg+CVCXi6wOC4JR56UZxiv0uL5J0XaY9Vj8pU6sALfDZ09wkEVk3VGu9Hnmu0sCqNDCPvC6GchMEY3WwvDuvnLPt3oILEtADwiJa8CAeUuKa9uyLgzmek3yp1IYmVIjr8sAaf9yZLhAiZSUR8fQtlhG2yDLtusMj3TFdv9KZIDfV0VB8CEwa/nmZUDFDF3WC8K5IUFsD1bGdEB0DLjzlIc1/zg9S+7khw8nzIiQJRVSXiVRbphGRGdcmHiZc1L8AFHVeSRN42iqErjixUYac/6dw2xPZBaK1VkHRCaY10+PsDZe5oRse9NpYV7gU+JAEFUcFFpJzIgTzIqex4YHgXneQ8um3pbdNU7WCm0RBkWqcjpk1asP34JTFY8fJRRYBDtVMb3H2v3URF7yOqUH5WXJYJU4BlD+bXFurrmD1BUImWpZpC7RwfUnfbRDUiuLUbfcSTAxj8xk5LjpuiRkqA0aZ1BgEheNtgv9RKgmiFvSBe1X2aMD63RU4k7dYcLquW8+ZjUAUSEvX63VqSfV6eegr7jtI0AEQA50CVGZnCaafim5hDThfhmvSY9OAkhhCBwJyM3rFCnLF+ZNH58ImI4xoMjsccIuaLn74F/6t/az8+/tGtm78551voMO7LsbC2fpL7HVArdqmaT6PL2Vf8Rl2+TBKTbHe1C3bwa5D/ZFu60P+m7Q9hMM99ojh7wQ6v42wuo8i+pvXFhcWPPNNIR+AjgwpvTSJJmfypft0tmWzDESfhIRYRMcuv2lUyK/OA3dfq27Rb/3Op9GMF0JP4NmRvHgG7xsAQzEfE9Rr23TDqzFMVDBjD6RX+/zsRpZVtjjvPmm4xjhGyfaQZDZmfkohPh7+Tzb65MHrN6/XXG8gIFnpG3c9FuaWa9B7UWc5OPmaWVH/IbtS31zr5jRyvjBpv650Eij9Vzw4KD4DQ4w6jh38U1ovJgtNo/OedLxZhcIM9C1SQB8ozshCfK+v/UuWK6hZN9lRf7CITxluHksJhj44AQdezN+uNHHyNRrSuwp8ltL2OGI2v2oadXr+W0UhXczoOSaaFPSvXBcgCXRjgWv+pi0hP2edhF6UFb5UvrdwEGbhX3x2td2dYqi4HCpf3UU88xGLLAW3Rcn4rfZE0WgoR9KoZgDrH9q/o11d+CGSC/GQFUNPqiZSVR9vcvV3yx4wxG7eC91e95DZl6C/2tRBjCUVFweXaWXq1OJIdrF3t2xJfOwr+PzjdNXpTf3UWWrWi4240jF+tMLj/S5UbVVoM2JHyfFPboYPLqT54sGxQW0wC0K37pzGrz7dmHquDmoxxbM9Q1V5dCnZjiEOGR1IbafqqMWW8Rvw7r3F9vhUXbXA7PEJR7TWn4pT4XIRh34Htmz86jvjsYwXDOPriDc1PlzMgap4UHxcUXRkO/GyDz8vgxFXE7j0Gcjs3s31lImogc39ksP9xzSFZBpQirW3sKxvG1rezmhDSZzjNUFIHx/rVu3oDGuIrTYn5BxGgFKKKvGKBgJxNrNSHO68V0F6WqA4QlmYjXYHrAQRKiJ/XVjR0c/ty9lqnu/cbRSk/Y8j8W38Q6jIuz9f90wcUL7rtyjvHRWPNbX9+OUSwGODMo74d8l6ejD7nuYCEuerhYvcqbb28FS2+SBoTpog6ALwHPuQh97C2wOaz1dnmFq+sOMN1pav42jLyvPGaMttjfn0xuj/iFw5csNOYryV/xsrT7PkUSVq2lLzGPqcKVntgYBfWu2aePyGIck1souPeDHxYikf2Y27dSs7SGqSPknwV0BLsMnsWAodS8vgXECMFCL4xp4aEWRsAjl+TPLcEmoI7b6QR/pXyzZTkY2ACdcmfMFZCggNmynTmbebslbI2WQPt5IxVB+lGl8AosJa3g9SFrwmPcXka4CkXg9dfnwXfOLnrTsV/+LxJi7ZQZDhwfTnPUaDhtltmE99DWJvvMJMx67dXevQmdDK5ndrlnhSdKyyAVe+kOHeieLyvOhSt72EUsF3Z1GYvwbXVLXVZ3bXYtASaRl5iTza0xdDcMZua0eYflo5rMZmSVPdSUUUCfBok/ck444gLE9yTHY8F4jOZsYlQPjMlkXI0dJlx6YkvdLCkcOx23ky4eauBRZO0MjNqyFE0c+bkGIUYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3721,"cache_read_input_tokens":135345,"cache_creation":{"ephemeral_5m_input_tokens":3721,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5968fafb-f869-426f-a094-5cdae98e624e"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDavgP3y5ibbhKzo8rd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3721,"cache_read_input_tokens":135345,"cache_creation":{"ephemeral_5m_input_tokens":3721,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"85a3e574-0b92-46c7-b6e2-776ad5846bf7"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDavgP3y5ibbhKzo8rd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GhE83p2UCsvHwwP7MbYGBw","name":"Bash","input":{"command":"grep -n \"oxylabs\\|OXYLABS\\|sessid\\|proxy\" louka/connectors/base.py | head -20; grep \"OXYLABS\" .env 2>/dev/null | sed 's/=.*/=***/'","description":"See Oxylabs proxy config in base connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3721,"cache_read_input_tokens":135345,"cache_creation":{"ephemeral_5m_input_tokens":3721,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"db7f2bb9-c192-42f8-9dd3-feae63b5b6b0"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GhE83p2UCsvHwwP7MbYGBw","type":"tool_result","content":"91: proxy_pool: str | None = None, headers: dict | None = None,\n97: - `proxy_pool` : ex. \"public_residential_pool\" (WAF/anti-bot agressif).\n113: if proxy_pool:\n114: params[\"proxy_pool\"] = proxy_pool\n139: proxy_pool: str | None = None) -> str:\n145: js_scenario=js_scenario, proxy_pool=proxy_pool\nOXYLABS_PROXY_USER=***\nOXYLABS_PROXY_PASS=***","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"753b5834-aea9-405c-b9ee-0afcf1285b5f","timestamp":"2026-08-25T21:59:55.312Z","tool_use_result":{"stdout":"91: proxy_pool: str | None = None, headers: dict | None = None,\n97: - `proxy_pool` : ex. \"public_residential_pool\" (WAF/anti-bot agressif).\n113: if proxy_pool:\n114: params[\"proxy_pool\"] = proxy_pool\n139: proxy_pool: str | None = None) -> str:\n145: js_scenario=js_scenario, proxy_pool=proxy_pool\nOXYLABS_PROXY_USER=***\nOXYLABS_PROXY_PASS=***","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e1a3c95f-54f8-4157-842a-94e155f38c10","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDc6N5FxdksSWNfHGrY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Pm7YSZsud3KERTwX7ctj5s","name":"Bash","input":{"command":"grep -rn \"OXYLABS_PROXY\" louka/ | head; grep \"OXYLABS_PROXY\" .env | sed 's/=.*/=présent/'","description":"Find where the Oxylabs proxy is wired in louka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1104,"cache_read_input_tokens":139066,"cache_creation":{"ephemeral_5m_input_tokens":1104,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"691ab35e-17c2-452c-ae15-4706083e2de6"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Pm7YSZsud3KERTwX7ctj5s","type":"tool_result","content":"Binary file louka/connectors/__pycache__/fb_marketplace.cpython-314.pyc matches\nBinary file louka/connectors/__pycache__/_resilient.cpython-314.pyc matches\nlouka/connectors/_resilient.py:214: endpoint = _secret(\"OXYLABS_PROXY\") # pr.oxylabs.io:7777\nlouka/connectors/_resilient.py:215: user = _secret(\"OXYLABS_PROXY_USER\") # customer-... (sans -cc-XX)\nlouka/connectors/_resilient.py:216: pwd = _secret(\"OXYLABS_PROXY_PASS\")\nlouka/connectors/fb_marketplace.py:361: ox_u = os.environ.get(\"OXYLABS_PROXY_USER\")\nlouka/connectors/fb_marketplace.py:362: ox_p = os.environ.get(\"OXYLABS_PROXY_PASS\")\nlouka/hydro.py:56: if os.environ.get(\"OXYLABS_PROXY_USER\"):\nlouka/hydro.py:57: u = os.environ[\"OXYLABS_PROXY_USER\"]\nlouka/hydro.py:58: p = os.environ[\"OXYLABS_PROXY_PASS\"]\nOXYLABS_PROXY_USER=présent\nOXYLABS_PROXY_PASS=présent","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"91eecf4a-ed6f-4697-b330-8ddbcb19d431","timestamp":"2026-08-25T21:59:59.670Z","tool_use_result":{"stdout":"Binary file louka/connectors/__pycache__/fb_marketplace.cpython-314.pyc matches\nBinary file louka/connectors/__pycache__/_resilient.cpython-314.pyc matches\nlouka/connectors/_resilient.py:214: endpoint = _secret(\"OXYLABS_PROXY\") # pr.oxylabs.io:7777\nlouka/connectors/_resilient.py:215: user = _secret(\"OXYLABS_PROXY_USER\") # customer-... (sans -cc-XX)\nlouka/connectors/_resilient.py:216: pwd = _secret(\"OXYLABS_PROXY_PASS\")\nlouka/connectors/fb_marketplace.py:361: ox_u = os.environ.get(\"OXYLABS_PROXY_USER\")\nlouka/connectors/fb_marketplace.py:362: ox_p = os.environ.get(\"OXYLABS_PROXY_PASS\")\nlouka/hydro.py:56: if os.environ.get(\"OXYLABS_PROXY_USER\"):\nlouka/hydro.py:57: u = os.environ[\"OXYLABS_PROXY_USER\"]\nlouka/hydro.py:58: p = os.environ[\"OXYLABS_PROXY_PASS\"]\nOXYLABS_PROXY_USER=présent\nOXYLABS_PROXY_PASS=présent","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f8d78d89-456f-4202-bfc3-209302b4ff66","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDcQw2Fi846k19er54M","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VsS9C3bmNAsuVuSt9trogu","name":"Bash","input":{"command":"sed -n 200,245p louka/connectors/_resilient.py","description":"Read the resilient Oxylabs proxy helper"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":613,"cache_read_input_tokens":140170,"cache_creation":{"ephemeral_5m_input_tokens":613,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"bb6be8c1-0398-4a9c-b376-7354d3c36db2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VsS9C3bmNAsuVuSt9trogu","type":"tool_result","content":" hits += 1\n if hits >= _COOLDOWN_HITS:\n _COOLDOWN[host] = (time.time() + _COOLDOWN_SECONDS, 0)\n else:\n _COOLDOWN[host] = (until, hits)\n\n\ndef _note_success(host: str) -> None:\n _COOLDOWN.pop(host, None)\n\n\n# -- backends d'escalade ------------------------------------------------------\ndef _try_oxylabs(url: str, timeout: int, country: str,\n headers: dict | None) -> _ResilientResponse | None:\n endpoint = _secret(\"OXYLABS_PROXY\") # pr.oxylabs.io:7777\n user = _secret(\"OXYLABS_PROXY_USER\") # customer-... (sans -cc-XX)\n pwd = _secret(\"OXYLABS_PROXY_PASS\")\n if not (endpoint and user and pwd):\n return None\n cc = (country or \"ca\").upper()\n puser = f\"{user}-cc-{cc}\"\n proxy = f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}@{endpoint}\"\n proxies = {\"http\": proxy, \"https\": proxy}\n hdrs = {\"User-Agent\": _UA}\n if headers:\n hdrs.update(headers)\n try:\n r = requests.get(url, proxies=proxies, headers=hdrs, timeout=timeout,\n verify=False) # noqa: S501 (proxy MITM du CA Oxylabs)\n return _ResilientResponse(url, r.status_code, r.text,\n dict(r.headers), via=\"oxylabs\")\n except Exception: # noqa: BLE001\n return None\n\n\ndef _try_scrapfly(url: str, timeout: int, country: str, render_js: bool,\n headers: dict | None) -> _ResilientResponse | None:\n key = _secret(\"SCRAPFLY_KEY\", \"SCRAPFLY_API_KEY\")\n if not key:\n return None\n params = {\"key\": key, \"url\": url, \"country\": country or \"ca\",\n \"asp\": \"true\", \"proxy_pool\": \"public_residential_pool\"}\n if render_js:\n params[\"render_js\"] = \"true\"\n if headers:\n for k, v in headers.items():","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"a90f5160-5691-4d50-8ba7-b0a5ee1d6d57","timestamp":"2026-08-25T22:00:03.582Z","tool_use_result":{"stdout":" hits += 1\n if hits >= _COOLDOWN_HITS:\n _COOLDOWN[host] = (time.time() + _COOLDOWN_SECONDS, 0)\n else:\n _COOLDOWN[host] = (until, hits)\n\n\ndef _note_success(host: str) -> None:\n _COOLDOWN.pop(host, None)\n\n\n# -- backends d'escalade ------------------------------------------------------\ndef _try_oxylabs(url: str, timeout: int, country: str,\n headers: dict | None) -> _ResilientResponse | None:\n endpoint = _secret(\"OXYLABS_PROXY\") # pr.oxylabs.io:7777\n user = _secret(\"OXYLABS_PROXY_USER\") # customer-... (sans -cc-XX)\n pwd = _secret(\"OXYLABS_PROXY_PASS\")\n if not (endpoint and user and pwd):\n return None\n cc = (country or \"ca\").upper()\n puser = f\"{user}-cc-{cc}\"\n proxy = f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}@{endpoint}\"\n proxies = {\"http\": proxy, \"https\": proxy}\n hdrs = {\"User-Agent\": _UA}\n if headers:\n hdrs.update(headers)\n try:\n r = requests.get(url, proxies=proxies, headers=hdrs, timeout=timeout,\n verify=False) # noqa: S501 (proxy MITM du CA Oxylabs)\n return _ResilientResponse(url, r.status_code, r.text,\n dict(r.headers), via=\"oxylabs\")\n except Exception: # noqa: BLE001\n return None\n\n\ndef _try_scrapfly(url: str, timeout: int, country: str, render_js: bool,\n headers: dict | None) -> _ResilientResponse | None:\n key = _secret(\"SCRAPFLY_KEY\", \"SCRAPFLY_API_KEY\")\n if not key:\n return None\n params = {\"key\": key, \"url\": url, \"country\": country or \"ca\",\n \"asp\": \"true\", \"proxy_pool\": \"public_residential_pool\"}\n if render_js:\n params[\"render_js\"] = \"true\"\n if headers:\n for k, v in headers.items():","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d371df84-b4c9-4429-828d-0bcd9f3fd41f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDci3RGMn62KQ86Pei5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TGK3HXKXDLJSuSZv5Di8EM","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","offset":44,"limit":100},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":891,"cache_read_input_tokens":140783,"cache_creation":{"ephemeral_5m_input_tokens":891,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3a6df8a2-16fc-4b52-b7d2-56dd40dd0fbe"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TGK3HXKXDLJSuSZv5Di8EM","type":"tool_result","content":"44\t# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n45\t# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n46\t# -----------------------------------------------------------------------------\n47\tfrom __future__ import annotations\n48\t\n49\timport datetime as _dt\n50\timport html as _html\n51\timport json\n52\timport os\n53\timport re\n54\timport secrets\n55\timport sys\n56\tfrom pathlib import Path\n57\t\n58\tfrom ..schema import StListing\n59\tfrom .base import StConnector\n60\tfrom .sithotels import _property_type, _titre\n61\t\n62\tROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n63\t / \"data\" / \"hotels_engines.json\")\n64\t\n65\tHOST = \"https://secure.reservit.com\"\n66\tMAX_IMAGES = 20\n67\tLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\n68\tBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\n69\tDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n70\t\n71\t_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n72\t_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n73\t\n74\t\n75\tdef _tabid() -> str:\n76\t \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n77\t return secrets.token_hex(4)\n78\t\n79\t\n80\tdef _custid(hotel: dict) -> str:\n81\t \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n82\t raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n83\t if raw.isdigit() and len(raw) <= 6:\n84\t return raw\n85\t m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n86\t if m and len(m.group(1)) <= 6:\n87\t return m.group(1)\n88\t return DEFAULT_CUSTID\n89\t\n90\t\n91\tdef _past(date_fr: str) -> bool:\n92\t \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n93\t try:\n94\t d, m, y = str(date_fr or \"\").strip().split(\"/\")\n95\t return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n96\t except Exception: # noqa: BLE001\n97\t return False\n98\t\n99\t\n100\tdef _clean(txt: str) -> str:\n101\t \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n102\t vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n103\t txt = _html.unescape(str(txt or \"\"))\n104\t txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n105\t if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n106\t return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n107\t\n108\t\n109\tclass Reservit(StConnector):\n110\t source_id = \"reservit\"\n111\t request_delay = 0.5\n112\t timeout = 40\n113\t\n114\t # -- front.do « light » : métadonnées hôtel + session/token ----------------\n115\t def _front_light(self, cid: str, hid: str) -> dict:\n116\t tab = _tabid()\n117\t base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n118\t self.session.cookies.clear()\n119\t resp = self.get(base + \"/front.do\",\n120\t params={\"m\": \"booking\", \"mode\": \"light\",\n121\t \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n122\t \"partid\": \"0\", \"langcode\": \"FR\"},\n123\t headers={\"Accept\": \"application/json\",\n124\t \"X-MultiTabID\": tab})\n125\t d = resp.json()\n126\t d[\"_base\"], d[\"_tab\"] = base, tab\n127\t return d\n128\t\n129\t def _meta(self, cid: str, hid: str) -> dict:\n130\t \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n131\t la session, périssables, ne sont jamais cachés).\"\"\"\n132\t h = self._front_light(cid, hid).get(\"hotel\") or {}\n133\t keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n134\t \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n135\t \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n136\t meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n137\t meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n138\t if isinstance(p, str) and p.startswith(\"http\")]\n139\t meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n140\t if isinstance(s, dict) and s.get(\"name\")]\n141\t return {\"hotel\": meta}\n142\t\n143\t # -- prix (frais à chaque sync : jamais caché) ------------------------------"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"52c28f10-0d32-45a8-a767-15daa4f06dcc","timestamp":"2026-08-25T22:03:19.335Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","content":"# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\n\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nHOST = \"https://secure.reservit.com\"\nMAX_IMAGES = 20\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\nDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n\n_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n\n\ndef _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\ndef _custid(hotel: dict) -> str:\n \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n if raw.isdigit() and len(raw) <= 6:\n return raw\n m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n if m and len(m.group(1)) <= 6:\n return m.group(1)\n return DEFAULT_CUSTID\n\n\ndef _past(date_fr: str) -> bool:\n \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n try:\n d, m, y = str(date_fr or \"\").strip().split(\"/\")\n return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n except Exception: # noqa: BLE001\n return False\n\n\ndef _clean(txt: str) -> str:\n \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n txt = _html.unescape(str(txt or \"\"))\n txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n\n\nclass Reservit(StConnector):\n source_id = \"reservit\"\n request_delay = 0.5\n timeout = 40\n\n # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}\n keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n if isinstance(p, str) and p.startswith(\"http\")]\n meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n if isinstance(s, dict) and s.get(\"name\")]\n return {\"hotel\": meta}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------","numLines":100,"startLine":44,"totalLines":337}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0aa5f608-4c8a-4744-b00a-ad0b149bf0b6","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDs9wYeg3m5HAV1ystJ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS9xkKpwEIERgCKkCn0c5tmvaJwZuVs5tS9k3KzmqDV3GJQ3MtdYwnmdjyw9pJq9F6p6pX/NAkj2ObWCnwIO7TTm5C9srJGN5Pfe8jMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAG7orjUBrABAhIMn6k2c3jra6AiUjh9Ggxs45RtPmmJ4dWrHsUiMEv/OM7mz0boHyM6D+KVCoHWk0svH1IBFilbT5dSc4K2+KsGAFwnBVKo50G/1teMtCr8FyViEN/kuHXMGTc5ShEPdVpDcyCmSd0d0czIt4jIsjA9SwPSxAqlOKt/eLjspthnViGtLnb3hSVZsynRBVsoXv65avImH4v0Crfc88P9jDLyNrQ9x5ij0ffVaBeZSCEkI+URrh+bWQJpcGanOvkxN+ntf08G8Qc7B5N337fbKi8z8ClvGwed4nDSKNo1P8rp6RbyYY1ADY9pbR7XuffzSsNj0pX2ibCVbXdV7wkVsLrs8yHWkFyqvBrL6mJ5XV9LCQFlsndMhSyNlJzCl+v82TBAE7rr877/wahtzOLjcleXH9CgkY6wGNQoaLhNe9I/AV7FNs8GoN9iafskuUvWWVzpP6+/MZlZxatsDH0LErOWhe8wlqyq0mzX5eqCELT5TVGjegTmQtfC2KQTDCKuzYK75mBtOIRWWz9y2G0msC9kN40UC5NCOgTAxmwAETe6GvTJx5AfXvWjcOYZne7vkejDlw1rKuvTobwwGGsManBUZ30RnkwuZAzVCq3sLPDyuZ5HBsSOxZDUdv4sj4zUfLZYhUyEVayBlyJNV0ZVFFMcbVbKH/avkfmofABZ2E83HjfibrWiy/ntgaRIb0hbGTrtiZARodUskGnQzoc7yya6THpVQxi17thzKTpT0O4Ga88UvCCouxyisLIpjHegtufV4geh2bUyKgMHcWe+Q4++s41H+bSSyHgtJFwD5dJ+b/TZncKk4f4fgitVCjSJ0avXfz+wtJ/6EGTwB8y85U/pfPUc0Agd4omYXMj6aqrpSDDGdjDZhHbvIH/+PokrHHwQRCMd15S/EeOhmTGto/8cyiGndy5F3H2aIv3+ZKTIXbgx9nIxoKJcy38E2v7AzejHY09Fgx3ClxyqzGOpM3UIfWgd6Hac2OguCYrNQdnzreCPwIV3y1k7Pu+C8oQeEVVcpXLmbcVuiMCjMOiMwUbHq9M6iNlNu/7m8BRO+n4xqOn4E3NpXb742d49aG/MAKIt/as+agBpqvZCm6LSH9XoFnhYdq5NZ3odqxYt8yPQWRC53YBacSU6EnHGJLwnkT84zApVjMfDIezRij3FAxz+YCfJkr4uCtYwRMZc0pbDObatin7wa5ZGwv7YtUsIPIr+N+ElgpPg1wCrxsu4ORHhBE9ZtB48QktLJOw9fd8wxP5ftaA3kEq0k/5PknKpKHJ/ExEXesPHQB+EGgQ8sjaVrYNPPSDc5PJfch9cc5fSWzM50m31kvbVvThT9cBjqDEiJTTwUyvAD+Gs5iE9Zf46M9FZdcQv5PAaprv0z22Kr8gHZRGmvngtilcwgwbHoNDySG9wmmdory7tCeLL4/llgvxO/SEEM2QdC0sCGOs2ioAI4FpO6Hy8nop1n/XBqqQJ8A+s2BhvJQDSljMtP6Lhib+xW14iUndfaddsrt8r9rUUCmJKMe6Tpw3MxFqf487TWBWUrPepD68LU/EqwavV9kfQE0vM/+wViTZwkHaUnuolETEFowV0FgE05WnpQ2AziPv8hc2EuO2QBOk1e1/iH6muVvCE4WnbRJo/3das0QQqraevrzIbCry1Tp6ho0p3VXuJsyyT//n1WeWHv/5bK8MXlddvNRdLch5niMi13imUdZi2ZifH/gjrdlnS7rglJJDRKyk4zkj/K7E+W1ue+3mc1+QdE0OyToSlAj1UWCFAiV1Nd28C55mYBTyPoWozuNMprLBLT7Y+/6aKMnyymYoxr87pLqqI64jxtAsa+uRAMoIrFTjw7t7lQNy50yjAhnDV1sWvGf645gB/KYiT8QBcgBkMyG0aZdgtwdJXNs9XtuinQJzELP01D/Hf+kB3AaD1e1AUYlbzhP4vGOeSLN5WZfzCNAh/bKVMHdIxiFLkRiReLARrLRmvjHbBQZlCbhWEJXVkJDpNIGtIYlXnl23hQIE8geOFgLtxopw6uMBR7dmsVj1N522U+q7ZU/93glQiz7YyB/K3RCBfjY2AMTea5js1IeLScI7YmabDO88GCXXztjeOQ3oYw5jdVG7jJHKxgSIMv01XNLSyhgHJHeuJ8LwPnR0IgQEoPfON2+CQCVMNF7zK6tTev7fLqwYVSU91vF5hbh0roOOrTCAB1O0XC1ZDZ3007XZ0x5ioZQIkBY9l/8xjuxiNQRiMk4bTCx+ZxQCNVb4j6GSkt2bwPTH6rEmg85uVkcEDLm3+I6xPl947FeuSO8TkyQDtzTNyTjbttfmAOLzA1iu/5NdwcYT8lmckTYssjlRUFSxk6PbHf4qZsTaal1rKcTMY4MsuBrFGmsttZcd2u1gQbBR1LioNHwIK4QLquzaKC5spgFjhJ70MrdDLGsqCS6xuokwqrNjIU0sJP93+5DqiKQxTcH6/UtNF/wF/zIb9zw0gHufur/9c6ktlECJu6JpR1+2L4smWVk0FzmLQsanq3fbJ+G3l9/k4shhA0AyMwmAtZAaRLdGPR/dwNy3FtP+GopgJrroV8cxtL5WuQqc4IgWhU6tmn8Jl6rShtgSTo9BaP5r5BH0pbM284xDuUcbGzJwmyE5Kl5TrwQyWHoV2UsYLyP9lN182pAox0dMYzlPVNK3Jd8b2GrvGLLnxLeCBLkR/txL4nfxkzB+1EXCkO9hrLdZv1uMlk+JfQ8C9dmuhVJC153Gt5BjDDhf5MSYOAzT0XdzDATBsrUl0IIvo6rZWu8OoteAPQDz5UifG++BVnfAijnSQU0yyF6VQsyrjZX/STN5fq7mg2ZnnKt7gl0jWryjB94BUqublRgFRN6yVu6RhI/PNJQzzaguO1yV+FzxXoFmGlgStTeHWof4GHu8EIBWk4FTpkzSGzFD/EfLq30Dz0bgNg/eakAm4O51Iuzb7wanAL5RPN/FVwMtj3Po8J9hWY0IOWaNdyrV54oYAhC/ax5cBeH40DSZP2HXVSHKJbuy99z/CMdoRROJPrdSYHOLeBloV8rJP3OSHnFK9bt4m34Tbxvajv3oXgqoZPMme/jUSSUxL6CgulyeYpR/eddHMvimsY3SkYhPjA8Gp5lqmI+K6DrRLgS7jzg5aDL3i6joS0zhEh6xAT8lOwZbJ8Biu31+NQAiG7TzBfF213qPRw2jCeRVMVp/s2nESHG2ZQs/JYbzPRzVv6dAO2zhC1m/Fd7uLlByu+lF1UMY/oJglWyss700YAruLgi+29z6bbNxew7OhpR5A0JevI0XJBS9KYCKNnYZtF5kTDDtCP5+le9s8SPWhM0WD1RpoRnv/JR/J3KHW4Cir4RqPSB2C8I0wVcdJHPlx3lCCRTOPH01JdnADP5Aj68+H0ErS8zUfirsKwzOvgX5eLXfN4OZJYe0AIBkcugCW27RE2Nj1GAm75js2qG/U3jE75mXRdzHIXBNJJMNupoGywsd3DtAK4rWmjEV50ICpvrLC4F1fiVwdf4iUMmzylApSARRyb11eKzIkoJZFizxB0coqYWT7JiM9MfQFqduP8unedxh0ZD/4koNFNlZzZFoqPa2d2kP5U9OHWKY5hyVks692tD021Of2nUWEKRdqByOmK/oP7Fct2BNheuIHBTJXdSLNsGBUYuGLC8q0354XB3ihPTgHQCNbf4Em9unW6/EAIB3bJNkLSk/4VeM/nVdEpj4yD+EdIDYauRuPvrJDNv3CC7qMu9DSwACBNaB1jumgeysqN8Vgt/qga0GV4n3svPAFmHU5g88m92aD4cND1NrIeARuj8O+9oWwFb9uudjIt/qVYZ7TdnhTZanHcb1XNHx7Gdrj1kMbsjC7kP7jEIb2J/W/RRH3ybV8XiGE1FkKWcc3/wjQLuRKV0eNqqk2ePCbNmr3kBxwhAqhQPFb0yLi2cgNzpHzFG6e1gbf87fhMr2g9Tb7+dEjhjs+17y8YvMoajT6hnX5MXJJ5HEBq6JyL3oB69AVswouCX50GOi049b6vTj4n3N6Hj0wxOxN5Ab/xwiSos/vdLZcHYGKeG80V09Go/vUn6yLDM6oNzxX+Y6L/Zv014pKwOn4iZPv3QwbnHOVoho8hu/58ewbKOG5SAHX32C1faqCgw0waTgYdkVsph7misHT1UA5BCJMdcOTgxO9GNTACPG7DdV7Ayk7NbMUnvnaNwGTM/mCQAZHGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2555,"cache_read_input_tokens":141674,"cache_creation":{"ephemeral_5m_input_tokens":2555,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"2fa5f763-30f8-4360-b1f2-ccbec5f645f9"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDs9wYeg3m5HAV1ystJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013zKoLKw35anxov8pprtrVD","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","offset":297,"limit":65},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2555,"cache_read_input_tokens":141674,"cache_creation":{"ephemeral_5m_input_tokens":2555,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"1f7d850e-748a-43d1-94ae-066cddaccc1c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013zKoLKw35anxov8pprtrVD","type":"tool_result","content":"297\t def fetch(self) -> list[StListing]:\n298\t try:\n299\t roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n300\t except Exception as exc: # noqa: BLE001\n301\t print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n302\t file=sys.stderr)\n303\t return []\n304\t hotels = [h for h in roster.get(\"hotels\") or []\n305\t if h.get(\"engine\") == \"reservit\"\n306\t and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n307\t\n308\t budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n309\t listings: list[StListing] = []\n310\t vus: set[str] = set()\n311\t probes = 0\n312\t price_failures = 0 # circuit breaker sur le sondage des prix\n313\t for hotel in hotels:\n314\t hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n315\t if not hid or hid in vus:\n316\t continue\n317\t vus.add(hid)\n318\t price_ok = price_failures < BREAKER_LIMIT and probes < budget\n319\t if price_ok:\n320\t probes += 1\n321\t try:\n322\t lst, price_error = self._listing(hotel, price_ok=price_ok)\n323\t except Exception as exc: # noqa: BLE001\n324\t print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n325\t file=sys.stderr)\n326\t continue\n327\t if price_error:\n328\t price_failures += 1\n329\t if price_failures == BREAKER_LIMIT:\n330\t print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n331\t \"prix consécutifs : arrêt des requêtes prix \"\n332\t \"(fiches sans prix ensuite)\", file=sys.stderr)\n333\t elif price_failures < BREAKER_LIMIT:\n334\t price_failures = 0\n335\t listings.append(lst)\n336\t return listings\n337\t"}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ae1e2747-b97c-4192-b297-45ead2137aeb","timestamp":"2026-08-25T22:03:41.004Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","content":" def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"reservit\"\n and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n\n budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n listings: list[StListing] = []\n vus: set[str] = set()\n probes = 0\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n if not hid or hid in vus:\n continue\n vus.add(hid)\n price_ok = price_failures < BREAKER_LIMIT and probes < budget\n if price_ok:\n probes += 1\n try:\n lst, price_error = self._listing(hotel, price_ok=price_ok)\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n \"prix consécutifs : arrêt des requêtes prix \"\n \"(fiches sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","numLines":41,"startLine":297,"totalLines":337}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"22bb57dd-43fc-4eaa-9914-cdc8355f5b89","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDtjTCerpPvkyAHMQiq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012YHMXifViouLaupLxevkZh","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","old_string":"import datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\n\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre","new_string":"import datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote\n\nimport requests\n\nfrom ...connectors._resilient import _secret\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2128,"cache_read_input_tokens":144229,"cache_creation":{"ephemeral_5m_input_tokens":2128,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"303acb5b-e7b6-4b37-a1f4-656753626f99"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012YHMXifViouLaupLxevkZh","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"6ddbf284-1268-41e9-80d6-92d93a3eaa5f","timestamp":"2026-08-25T22:03:51.641Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","oldString":"import datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\n\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre","newString":"import datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote\n\nimport requests\n\nfrom ...connectors._resilient import _secret\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/reservit.py : hôtels québécois en RÉSERVATION DIRECTE via le\n# moteur Reservit (Interface Technologies, secure.reservit.com) — 247\n# établissements du roster data/hotels_engines.json (engine == \"reservit\",\n# engine_ids.hotelid requis ; custid surtout 58 = grossiste Québec).\n# 1 fiche StListing par HÔTEL (pas par chambre).\n#\n# API (rétro-ingéniérie du bundle Angular main.a1e6bc8d6849c9de.js — front\n# moderne « /fo/booking » ; JSON pur, AUCUN anti-bot, requêtes directes) :\n# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n# - GET {base}/front.do?m=booking&mode=light&custid=&id=&hotelid=&partid=0\n# &langcode=FR (en-têtes Accept: application/json + X-MultiTabID)\n# → hotel {name, address, city, zipcode, phone, email, url, latitude,\n# longitude, infosTxt, nearAttrTxt, chkin, curcode, licenseNumber\n# (= no CITQ), endSaleP (fin de mise en vente DD/MM/YYYY — dans le\n# PASSÉ ⇒ hôtel mort sur Reservit), photos[] (media.reservit.com),\n# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n# - GET {base}/booking.do?step=2&fromdate=DD/MM/YYYY&todate=…&nbNight=1\n# &roomID=1&nbRooms=1&numAdult(1)=2&numChild(1)=0&agesWithRoomID(1)=\n# &fromStep=step1¤cy=CAD (+ custid/id/hotelid/partid/langcode)\n# en-têtes X-SessionID + X-MultiTabID + Authorization: Bearer \n# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n# light : jamais cachés) → datas.rooms[].rates[].price.amountBeforeTax\n# (l'affichage du widget, taxes en sus). Dates au format FR DD/MM/YYYY\n# (« ReservitFuckedPattern » dans le bundle, sic). FRAIS à chaque sync.\n# Écartés après essais live : /jreservit/recupSummaryAvailability.do et\n# POST /api/rs/secure/calendar/price/… (calendrier tout fermé / prix -1),\n# /rsl/booking/indexmodal.php (customerid ≠ hotelid, inutilisable en 58).\n#\n# Mapping :\n# - external_id = hotelid ; url = booking_url du roster (résa directe).\n# - custid : engine_ids.custid si numérique ≤ 6 chiffres, sinon extrait du\n# booking_url, sinon repli « 58 » (vérifié : un custid poubelle — id\n# Facebook — fonctionne avec 58).\n# - Séjour témoin : arrivée à J+21, 1 nuit, 2 adultes ; price_night =\n# minimum de rates[].price.amountBeforeTax toutes chambres retournées.\n# « Aucune chambre… » / hôtel fermé → fiche quand même, sans prix.\n# - title/photos/adresse/geo/CITQ/commodités : front.do light (caché) ;\n# region + ville joliment casée + citq de repli : join du roster.\n# - capacity = max « N PERSONNES » des typeName du sondage prix (frais).\n# - Budget : LOUKA_RESERVIT_DETAIL_LIMIT (défaut 250) sondages de prix par\n# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\n\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nHOST = \"https://secure.reservit.com\"\nMAX_IMAGES = 20\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\nDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n\n_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n\n\ndef _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\ndef _custid(hotel: dict) -> str:\n \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n if raw.isdigit() and len(raw) <= 6:\n return raw\n m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n if m and len(m.group(1)) <= 6:\n return m.group(1)\n return DEFAULT_CUSTID\n\n\ndef _past(date_fr: str) -> bool:\n \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n try:\n d, m, y = str(date_fr or \"\").strip().split(\"/\")\n return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n except Exception: # noqa: BLE001\n return False\n\n\ndef _clean(txt: str) -> str:\n \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n txt = _html.unescape(str(txt or \"\"))\n txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n\n\nclass Reservit(StConnector):\n source_id = \"reservit\"\n request_delay = 0.5\n timeout = 40\n\n # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}\n keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n if isinstance(p, str) and p.startswith(\"http\")]\n meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n if isinstance(s, dict) and s.get(\"name\")]\n return {\"hotel\": meta}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------\n def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n \"\"\"Construit la fiche ; retourne (listing, échec_du_sondage_prix).\"\"\"\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n cid = _custid(hotel)\n\n # métadonnées Reservit (cachées) — leur absence ne tue pas la fiche :\n # le join SIT du roster (nom, ville, région, CITQ) a de la valeur seul\n meta: dict = {}\n try:\n meta = self.detail(hid, \"v1\",\n lambda c=cid, h=hid: self._meta(c, h)) \\\n .get(\"hotel\") or {}\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] métadonnées {hotel.get('name')} ({hid}) : \"\n f\"{exc}\", file=sys.stderr)\n\n title = _clean(meta.get(\"name\")) or _titre(hotel.get(\"name\") or \"\")\n if title == title.upper(): # « HOTEL RIMOUSKI » → recasage SIT\n title = _titre(title)\n city = _clean(hotel.get(\"city\")) or _titre(_clean(meta.get(\"city\")))\n region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n ptype = _property_type(title)\n\n # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n # hôtel mort ; un échec du sondage ne fait jamais tomber la fiche\n price, extras, price_error = None, {}, False\n if price_ok and not _past(meta.get(\"endSaleP\")):\n try:\n price, extras = self._probe_price(cid, hid)\n except Exception as exc: # noqa: BLE001\n price_error = True\n print(f\"[reservit] prix {title} ({cid}/{hid}) : {exc}\",\n file=sys.stderr)\n\n # description : textes de l'hôtel (infos + à proximité), sinon\n # paragraphe éditorial assemblé à partir des faits\n parts = [_clean(p) for p in\n (meta.get(\"infosTxt\"), meta.get(\"nearAttrTxt\")) if p]\n if parts:\n description = parts[0]\n if len(parts) > 1:\n description += \"\\n\\nÀ proximité : \" + parts[1]\n else:\n feminin = ptype == \"Auberge\"\n phrases = [f\"{title} est un{'e' if feminin else ''} \"\n f\"{ptype.lower()}\"\n + (f\" situé{'e' if feminin else ''} à {city}\" if city\n else \"\")\n + (f\", dans la région {region}\" if region else \"\")\n + \". Réservation directe en ligne auprès de \"\n \"l'établissement (moteur Reservit).\"]\n if hotel.get(\"citq\"):\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {hotel['citq']}).\")\n description = \" \".join(phrases)\n\n details: dict = {\"booking_engine\": \"reservit\"}\n if extras.get(\"room_count\"):\n details[\"room_types\"] = extras[\"room_count\"]\n if meta.get(\"phone\"):\n details[\"phone\"] = _clean(meta[\"phone\"])\n if meta.get(\"email\"):\n details[\"email\"] = _clean(meta[\"email\"])\n if meta.get(\"zipcode\"):\n details[\"postal_code\"] = _clean(meta[\"zipcode\"])\n if meta.get(\"chkin\"):\n details[\"checkin\"] = str(meta[\"chkin\"])[:5]\n site = _clean(meta.get(\"url\"))\n if site.startswith(\"http\") and \"reservit.com\" not in site:\n details[\"website\"] = site\n elif hotel.get(\"website\") \\\n and \"reservit.com\" not in str(hotel[\"website\"]):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = meta.get(\"latitude\"), meta.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=hid,\n url=hotel.get(\"booking_url\")\n or f\"{HOST}/engine/booking/{cid}/{hid}/dates?langcode=FR\",\n title=title,\n property_type=ptype,\n address=_clean(meta.get(\"address\")),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=(float(extras[\"capacity\"])\n if extras.get(\"capacity\") else None),\n citq=str(hotel.get(\"citq\") or meta.get(\"licenseNumber\")\n or \"\").strip(),\n description=description[:5000],\n amenities=[_clean(s) for s in meta.get(\"services\") or []],\n details=details,\n images=(meta.get(\"photos\") or [])[:MAX_IMAGES],\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"reservit\"\n and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n\n budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n listings: list[StListing] = []\n vus: set[str] = set()\n probes = 0\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n if not hid or hid in vus:\n continue\n vus.add(hid)\n price_ok = price_failures < BREAKER_LIMIT and probes < budget\n if price_ok:\n probes += 1\n try:\n lst, price_error = self._listing(hotel, price_ok=price_ok)\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n \"prix consécutifs : arrêt des requêtes prix \"\n \"(fiches sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","structuredPatch":[{"oldStart":54,"oldLines":7,"newStart":54,"newLines":11,"lines":[" import secrets"," import sys"," from pathlib import Path","+from urllib.parse import quote"," ","+import requests","+","+from ...connectors._resilient import _secret"," from ..schema import StListing"," from .base import StConnector"," from .sithotels import _property_type, _titre"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2943395d-54d4-46ab-b28a-0aeb179f5f88","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDuXTAEm1BFNyySVhE4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XeSQSFNgjTWABvf9HTqeYH","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","old_string":"def _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)","new_string":"def _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\n_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"\n \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")\n\n\ndef _sticky_session() -> requests.Session:\n \"\"\"Session HTTP dédiée à UN hôtel. secure.reservit.com lie JSESSIONID et\n token à l'IP appelante : le direct est banni depuis ce nœud après quelques\n centaines de requêtes, et le proxy TOURNANT de l'escalade standard change\n d'IP entre front.do et booking.do → « Error Security Filter ». Il faut une\n IP résidentielle COLLANTE (sessid Oxylabs, ~10 min) le temps des 2 appels.\"\"\"\n s = requests.Session()\n s.headers[\"User-Agent\"] = _UA\n user, pwd = _secret(\"OXYLABS_PROXY_USER\"), _secret(\"OXYLABS_PROXY_PASS\")\n if user and pwd:\n endpoint = _secret(\"OXYLABS_PROXY\") or \"pr.oxylabs.io:7777\"\n puser = f\"{user}-cc-CA-sessid-{secrets.token_hex(5)}-sesstime-10\"\n proxy = (f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}\"\n f\"@{endpoint}\")\n s.proxies = {\"http\": proxy, \"https\": proxy}\n s.verify = False # noqa: S501 — CA MITM Oxylabs\n return s"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":747,"cache_read_input_tokens":146357,"cache_creation":{"ephemeral_5m_input_tokens":747,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"96a02180-dab1-4aee-b647-52700306be40"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XeSQSFNgjTWABvf9HTqeYH","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"5402a62f-5d12-49ed-83b5-b2808db6fa1f","timestamp":"2026-08-25T22:04:01.871Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","oldString":"def _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)","newString":"def _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\n_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"\n \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")\n\n\ndef _sticky_session() -> requests.Session:\n \"\"\"Session HTTP dédiée à UN hôtel. secure.reservit.com lie JSESSIONID et\n token à l'IP appelante : le direct est banni depuis ce nœud après quelques\n centaines de requêtes, et le proxy TOURNANT de l'escalade standard change\n d'IP entre front.do et booking.do → « Error Security Filter ». Il faut une\n IP résidentielle COLLANTE (sessid Oxylabs, ~10 min) le temps des 2 appels.\"\"\"\n s = requests.Session()\n s.headers[\"User-Agent\"] = _UA\n user, pwd = _secret(\"OXYLABS_PROXY_USER\"), _secret(\"OXYLABS_PROXY_PASS\")\n if user and pwd:\n endpoint = _secret(\"OXYLABS_PROXY\") or \"pr.oxylabs.io:7777\"\n puser = f\"{user}-cc-CA-sessid-{secrets.token_hex(5)}-sesstime-10\"\n proxy = (f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}\"\n f\"@{endpoint}\")\n s.proxies = {\"http\": proxy, \"https\": proxy}\n s.verify = False # noqa: S501 — CA MITM Oxylabs\n return s","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/reservit.py : hôtels québécois en RÉSERVATION DIRECTE via le\n# moteur Reservit (Interface Technologies, secure.reservit.com) — 247\n# établissements du roster data/hotels_engines.json (engine == \"reservit\",\n# engine_ids.hotelid requis ; custid surtout 58 = grossiste Québec).\n# 1 fiche StListing par HÔTEL (pas par chambre).\n#\n# API (rétro-ingéniérie du bundle Angular main.a1e6bc8d6849c9de.js — front\n# moderne « /fo/booking » ; JSON pur, AUCUN anti-bot, requêtes directes) :\n# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n# - GET {base}/front.do?m=booking&mode=light&custid=&id=&hotelid=&partid=0\n# &langcode=FR (en-têtes Accept: application/json + X-MultiTabID)\n# → hotel {name, address, city, zipcode, phone, email, url, latitude,\n# longitude, infosTxt, nearAttrTxt, chkin, curcode, licenseNumber\n# (= no CITQ), endSaleP (fin de mise en vente DD/MM/YYYY — dans le\n# PASSÉ ⇒ hôtel mort sur Reservit), photos[] (media.reservit.com),\n# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n# - GET {base}/booking.do?step=2&fromdate=DD/MM/YYYY&todate=…&nbNight=1\n# &roomID=1&nbRooms=1&numAdult(1)=2&numChild(1)=0&agesWithRoomID(1)=\n# &fromStep=step1¤cy=CAD (+ custid/id/hotelid/partid/langcode)\n# en-têtes X-SessionID + X-MultiTabID + Authorization: Bearer \n# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n# light : jamais cachés) → datas.rooms[].rates[].price.amountBeforeTax\n# (l'affichage du widget, taxes en sus). Dates au format FR DD/MM/YYYY\n# (« ReservitFuckedPattern » dans le bundle, sic). FRAIS à chaque sync.\n# Écartés après essais live : /jreservit/recupSummaryAvailability.do et\n# POST /api/rs/secure/calendar/price/… (calendrier tout fermé / prix -1),\n# /rsl/booking/indexmodal.php (customerid ≠ hotelid, inutilisable en 58).\n#\n# Mapping :\n# - external_id = hotelid ; url = booking_url du roster (résa directe).\n# - custid : engine_ids.custid si numérique ≤ 6 chiffres, sinon extrait du\n# booking_url, sinon repli « 58 » (vérifié : un custid poubelle — id\n# Facebook — fonctionne avec 58).\n# - Séjour témoin : arrivée à J+21, 1 nuit, 2 adultes ; price_night =\n# minimum de rates[].price.amountBeforeTax toutes chambres retournées.\n# « Aucune chambre… » / hôtel fermé → fiche quand même, sans prix.\n# - title/photos/adresse/geo/CITQ/commodités : front.do light (caché) ;\n# region + ville joliment casée + citq de repli : join du roster.\n# - capacity = max « N PERSONNES » des typeName du sondage prix (frais).\n# - Budget : LOUKA_RESERVIT_DETAIL_LIMIT (défaut 250) sondages de prix par\n# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote\n\nimport requests\n\nfrom ...connectors._resilient import _secret\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nHOST = \"https://secure.reservit.com\"\nMAX_IMAGES = 20\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\nDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n\n_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n\n\ndef _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\ndef _custid(hotel: dict) -> str:\n \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n if raw.isdigit() and len(raw) <= 6:\n return raw\n m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n if m and len(m.group(1)) <= 6:\n return m.group(1)\n return DEFAULT_CUSTID\n\n\ndef _past(date_fr: str) -> bool:\n \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n try:\n d, m, y = str(date_fr or \"\").strip().split(\"/\")\n return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n except Exception: # noqa: BLE001\n return False\n\n\ndef _clean(txt: str) -> str:\n \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n txt = _html.unescape(str(txt or \"\"))\n txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n\n\nclass Reservit(StConnector):\n source_id = \"reservit\"\n request_delay = 0.5\n timeout = 40\n\n # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}\n keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n if isinstance(p, str) and p.startswith(\"http\")]\n meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n if isinstance(s, dict) and s.get(\"name\")]\n return {\"hotel\": meta}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------\n def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n \"\"\"Construit la fiche ; retourne (listing, échec_du_sondage_prix).\"\"\"\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n cid = _custid(hotel)\n\n # métadonnées Reservit (cachées) — leur absence ne tue pas la fiche :\n # le join SIT du roster (nom, ville, région, CITQ) a de la valeur seul\n meta: dict = {}\n try:\n meta = self.detail(hid, \"v1\",\n lambda c=cid, h=hid: self._meta(c, h)) \\\n .get(\"hotel\") or {}\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] métadonnées {hotel.get('name')} ({hid}) : \"\n f\"{exc}\", file=sys.stderr)\n\n title = _clean(meta.get(\"name\")) or _titre(hotel.get(\"name\") or \"\")\n if title == title.upper(): # « HOTEL RIMOUSKI » → recasage SIT\n title = _titre(title)\n city = _clean(hotel.get(\"city\")) or _titre(_clean(meta.get(\"city\")))\n region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n ptype = _property_type(title)\n\n # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n # hôtel mort ; un échec du sondage ne fait jamais tomber la fiche\n price, extras, price_error = None, {}, False\n if price_ok and not _past(meta.get(\"endSaleP\")):\n try:\n price, extras = self._probe_price(cid, hid)\n except Exception as exc: # noqa: BLE001\n price_error = True\n print(f\"[reservit] prix {title} ({cid}/{hid}) : {exc}\",\n file=sys.stderr)\n\n # description : textes de l'hôtel (infos + à proximité), sinon\n # paragraphe éditorial assemblé à partir des faits\n parts = [_clean(p) for p in\n (meta.get(\"infosTxt\"), meta.get(\"nearAttrTxt\")) if p]\n if parts:\n description = parts[0]\n if len(parts) > 1:\n description += \"\\n\\nÀ proximité : \" + parts[1]\n else:\n feminin = ptype == \"Auberge\"\n phrases = [f\"{title} est un{'e' if feminin else ''} \"\n f\"{ptype.lower()}\"\n + (f\" situé{'e' if feminin else ''} à {city}\" if city\n else \"\")\n + (f\", dans la région {region}\" if region else \"\")\n + \". Réservation directe en ligne auprès de \"\n \"l'établissement (moteur Reservit).\"]\n if hotel.get(\"citq\"):\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {hotel['citq']}).\")\n description = \" \".join(phrases)\n\n details: dict = {\"booking_engine\": \"reservit\"}\n if extras.get(\"room_count\"):\n details[\"room_types\"] = extras[\"room_count\"]\n if meta.get(\"phone\"):\n details[\"phone\"] = _clean(meta[\"phone\"])\n if meta.get(\"email\"):\n details[\"email\"] = _clean(meta[\"email\"])\n if meta.get(\"zipcode\"):\n details[\"postal_code\"] = _clean(meta[\"zipcode\"])\n if meta.get(\"chkin\"):\n details[\"checkin\"] = str(meta[\"chkin\"])[:5]\n site = _clean(meta.get(\"url\"))\n if site.startswith(\"http\") and \"reservit.com\" not in site:\n details[\"website\"] = site\n elif hotel.get(\"website\") \\\n and \"reservit.com\" not in str(hotel[\"website\"]):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = meta.get(\"latitude\"), meta.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=hid,\n url=hotel.get(\"booking_url\")\n or f\"{HOST}/engine/booking/{cid}/{hid}/dates?langcode=FR\",\n title=title,\n property_type=ptype,\n address=_clean(meta.get(\"address\")),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=(float(extras[\"capacity\"])\n if extras.get(\"capacity\") else None),\n citq=str(hotel.get(\"citq\") or meta.get(\"licenseNumber\")\n or \"\").strip(),\n description=description[:5000],\n amenities=[_clean(s) for s in meta.get(\"services\") or []],\n details=details,\n images=(meta.get(\"photos\") or [])[:MAX_IMAGES],\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"reservit\"\n and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n\n budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n listings: list[StListing] = []\n vus: set[str] = set()\n probes = 0\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n if not hid or hid in vus:\n continue\n vus.add(hid)\n price_ok = price_failures < BREAKER_LIMIT and probes < budget\n if price_ok:\n probes += 1\n try:\n lst, price_error = self._listing(hotel, price_ok=price_ok)\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n \"prix consécutifs : arrêt des requêtes prix \"\n \"(fiches sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","structuredPatch":[{"oldStart":81,"oldLines":6,"newStart":81,"newLines":29,"lines":[" return secrets.token_hex(4)"," "," ","+_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"","+ \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")","+","+","+def _sticky_session() -> requests.Session:","+ \"\"\"Session HTTP dédiée à UN hôtel. secure.reservit.com lie JSESSIONID et","+ token à l'IP appelante : le direct est banni depuis ce nœud après quelques","+ centaines de requêtes, et le proxy TOURNANT de l'escalade standard change","+ d'IP entre front.do et booking.do → « Error Security Filter ». Il faut une","+ IP résidentielle COLLANTE (sessid Oxylabs, ~10 min) le temps des 2 appels.\"\"\"","+ s = requests.Session()","+ s.headers[\"User-Agent\"] = _UA","+ user, pwd = _secret(\"OXYLABS_PROXY_USER\"), _secret(\"OXYLABS_PROXY_PASS\")","+ if user and pwd:","+ endpoint = _secret(\"OXYLABS_PROXY\") or \"pr.oxylabs.io:7777\"","+ puser = f\"{user}-cc-CA-sessid-{secrets.token_hex(5)}-sesstime-10\"","+ proxy = (f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}\"","+ f\"@{endpoint}\")","+ s.proxies = {\"http\": proxy, \"https\": proxy}","+ s.verify = False # noqa: S501 — CA MITM Oxylabs","+ return s","+","+"," def _custid(hotel: dict) -> str:"," \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\""," raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e9213c49-b7e6-49fa-8fbd-bdcc3418befe","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDvGfCPPJi1sQALmCxu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01X7SM8QBbKbcPYQWbgYPmdL","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","old_string":" # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}","new_string":" # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str,\n sess: requests.Session) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n resp = sess.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab},\n timeout=self.timeout)\n resp.raise_for_status()\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid, _sticky_session()).get(\"hotel\") or {}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":873,"cache_read_input_tokens":147104,"cache_creation":{"ephemeral_5m_input_tokens":873,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"03a65a86-f944-4cdd-abfb-8491330db0f7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01X7SM8QBbKbcPYQWbgYPmdL","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"57d047c2-b587-4c10-9c40-be3c7c9432a4","timestamp":"2026-08-25T22:04:12.341Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","oldString":" # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}","newString":" # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str,\n sess: requests.Session) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n resp = sess.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab},\n timeout=self.timeout)\n resp.raise_for_status()\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid, _sticky_session()).get(\"hotel\") or {}","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/reservit.py : hôtels québécois en RÉSERVATION DIRECTE via le\n# moteur Reservit (Interface Technologies, secure.reservit.com) — 247\n# établissements du roster data/hotels_engines.json (engine == \"reservit\",\n# engine_ids.hotelid requis ; custid surtout 58 = grossiste Québec).\n# 1 fiche StListing par HÔTEL (pas par chambre).\n#\n# API (rétro-ingéniérie du bundle Angular main.a1e6bc8d6849c9de.js — front\n# moderne « /fo/booking » ; JSON pur, AUCUN anti-bot, requêtes directes) :\n# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n# - GET {base}/front.do?m=booking&mode=light&custid=&id=&hotelid=&partid=0\n# &langcode=FR (en-têtes Accept: application/json + X-MultiTabID)\n# → hotel {name, address, city, zipcode, phone, email, url, latitude,\n# longitude, infosTxt, nearAttrTxt, chkin, curcode, licenseNumber\n# (= no CITQ), endSaleP (fin de mise en vente DD/MM/YYYY — dans le\n# PASSÉ ⇒ hôtel mort sur Reservit), photos[] (media.reservit.com),\n# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n# - GET {base}/booking.do?step=2&fromdate=DD/MM/YYYY&todate=…&nbNight=1\n# &roomID=1&nbRooms=1&numAdult(1)=2&numChild(1)=0&agesWithRoomID(1)=\n# &fromStep=step1¤cy=CAD (+ custid/id/hotelid/partid/langcode)\n# en-têtes X-SessionID + X-MultiTabID + Authorization: Bearer \n# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n# light : jamais cachés) → datas.rooms[].rates[].price.amountBeforeTax\n# (l'affichage du widget, taxes en sus). Dates au format FR DD/MM/YYYY\n# (« ReservitFuckedPattern » dans le bundle, sic). FRAIS à chaque sync.\n# Écartés après essais live : /jreservit/recupSummaryAvailability.do et\n# POST /api/rs/secure/calendar/price/… (calendrier tout fermé / prix -1),\n# /rsl/booking/indexmodal.php (customerid ≠ hotelid, inutilisable en 58).\n#\n# Mapping :\n# - external_id = hotelid ; url = booking_url du roster (résa directe).\n# - custid : engine_ids.custid si numérique ≤ 6 chiffres, sinon extrait du\n# booking_url, sinon repli « 58 » (vérifié : un custid poubelle — id\n# Facebook — fonctionne avec 58).\n# - Séjour témoin : arrivée à J+21, 1 nuit, 2 adultes ; price_night =\n# minimum de rates[].price.amountBeforeTax toutes chambres retournées.\n# « Aucune chambre… » / hôtel fermé → fiche quand même, sans prix.\n# - title/photos/adresse/geo/CITQ/commodités : front.do light (caché) ;\n# region + ville joliment casée + citq de repli : join du roster.\n# - capacity = max « N PERSONNES » des typeName du sondage prix (frais).\n# - Budget : LOUKA_RESERVIT_DETAIL_LIMIT (défaut 250) sondages de prix par\n# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote\n\nimport requests\n\nfrom ...connectors._resilient import _secret\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nHOST = \"https://secure.reservit.com\"\nMAX_IMAGES = 20\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\nDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n\n_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n\n\ndef _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\n_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"\n \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")\n\n\ndef _sticky_session() -> requests.Session:\n \"\"\"Session HTTP dédiée à UN hôtel. secure.reservit.com lie JSESSIONID et\n token à l'IP appelante : le direct est banni depuis ce nœud après quelques\n centaines de requêtes, et le proxy TOURNANT de l'escalade standard change\n d'IP entre front.do et booking.do → « Error Security Filter ». Il faut une\n IP résidentielle COLLANTE (sessid Oxylabs, ~10 min) le temps des 2 appels.\"\"\"\n s = requests.Session()\n s.headers[\"User-Agent\"] = _UA\n user, pwd = _secret(\"OXYLABS_PROXY_USER\"), _secret(\"OXYLABS_PROXY_PASS\")\n if user and pwd:\n endpoint = _secret(\"OXYLABS_PROXY\") or \"pr.oxylabs.io:7777\"\n puser = f\"{user}-cc-CA-sessid-{secrets.token_hex(5)}-sesstime-10\"\n proxy = (f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}\"\n f\"@{endpoint}\")\n s.proxies = {\"http\": proxy, \"https\": proxy}\n s.verify = False # noqa: S501 — CA MITM Oxylabs\n return s\n\n\ndef _custid(hotel: dict) -> str:\n \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n if raw.isdigit() and len(raw) <= 6:\n return raw\n m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n if m and len(m.group(1)) <= 6:\n return m.group(1)\n return DEFAULT_CUSTID\n\n\ndef _past(date_fr: str) -> bool:\n \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n try:\n d, m, y = str(date_fr or \"\").strip().split(\"/\")\n return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n except Exception: # noqa: BLE001\n return False\n\n\ndef _clean(txt: str) -> str:\n \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n txt = _html.unescape(str(txt or \"\"))\n txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n\n\nclass Reservit(StConnector):\n source_id = \"reservit\"\n request_delay = 0.5\n timeout = 40\n\n # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n self.session.cookies.clear()\n resp = self.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab})\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid).get(\"hotel\") or {}\n keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n if isinstance(p, str) and p.startswith(\"http\")]\n meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n if isinstance(s, dict) and s.get(\"name\")]\n return {\"hotel\": meta}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------\n def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n \"\"\"Construit la fiche ; retourne (listing, échec_du_sondage_prix).\"\"\"\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n cid = _custid(hotel)\n\n # métadonnées Reservit (cachées) — leur absence ne tue pas la fiche :\n # le join SIT du roster (nom, ville, région, CITQ) a de la valeur seul\n meta: dict = {}\n try:\n meta = self.detail(hid, \"v1\",\n lambda c=cid, h=hid: self._meta(c, h)) \\\n .get(\"hotel\") or {}\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] métadonnées {hotel.get('name')} ({hid}) : \"\n f\"{exc}\", file=sys.stderr)\n\n title = _clean(meta.get(\"name\")) or _titre(hotel.get(\"name\") or \"\")\n if title == title.upper(): # « HOTEL RIMOUSKI » → recasage SIT\n title = _titre(title)\n city = _clean(hotel.get(\"city\")) or _titre(_clean(meta.get(\"city\")))\n region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n ptype = _property_type(title)\n\n # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n # hôtel mort ; un échec du sondage ne fait jamais tomber la fiche\n price, extras, price_error = None, {}, False\n if price_ok and not _past(meta.get(\"endSaleP\")):\n try:\n price, extras = self._probe_price(cid, hid)\n except Exception as exc: # noqa: BLE001\n price_error = True\n print(f\"[reservit] prix {title} ({cid}/{hid}) : {exc}\",\n file=sys.stderr)\n\n # description : textes de l'hôtel (infos + à proximité), sinon\n # paragraphe éditorial assemblé à partir des faits\n parts = [_clean(p) for p in\n (meta.get(\"infosTxt\"), meta.get(\"nearAttrTxt\")) if p]\n if parts:\n description = parts[0]\n if len(parts) > 1:\n description += \"\\n\\nÀ proximité : \" + parts[1]\n else:\n feminin = ptype == \"Auberge\"\n phrases = [f\"{title} est un{'e' if feminin else ''} \"\n f\"{ptype.lower()}\"\n + (f\" situé{'e' if feminin else ''} à {city}\" if city\n else \"\")\n + (f\", dans la région {region}\" if region else \"\")\n + \". Réservation directe en ligne auprès de \"\n \"l'établissement (moteur Reservit).\"]\n if hotel.get(\"citq\"):\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {hotel['citq']}).\")\n description = \" \".join(phrases)\n\n details: dict = {\"booking_engine\": \"reservit\"}\n if extras.get(\"room_count\"):\n details[\"room_types\"] = extras[\"room_count\"]\n if meta.get(\"phone\"):\n details[\"phone\"] = _clean(meta[\"phone\"])\n if meta.get(\"email\"):\n details[\"email\"] = _clean(meta[\"email\"])\n if meta.get(\"zipcode\"):\n details[\"postal_code\"] = _clean(meta[\"zipcode\"])\n if meta.get(\"chkin\"):\n details[\"checkin\"] = str(meta[\"chkin\"])[:5]\n site = _clean(meta.get(\"url\"))\n if site.startswith(\"http\") and \"reservit.com\" not in site:\n details[\"website\"] = site\n elif hotel.get(\"website\") \\\n and \"reservit.com\" not in str(hotel[\"website\"]):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = meta.get(\"latitude\"), meta.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=hid,\n url=hotel.get(\"booking_url\")\n or f\"{HOST}/engine/booking/{cid}/{hid}/dates?langcode=FR\",\n title=title,\n property_type=ptype,\n address=_clean(meta.get(\"address\")),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=(float(extras[\"capacity\"])\n if extras.get(\"capacity\") else None),\n citq=str(hotel.get(\"citq\") or meta.get(\"licenseNumber\")\n or \"\").strip(),\n description=description[:5000],\n amenities=[_clean(s) for s in meta.get(\"services\") or []],\n details=details,\n images=(meta.get(\"photos\") or [])[:MAX_IMAGES],\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"reservit\"\n and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n\n budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n listings: list[StListing] = []\n vus: set[str] = set()\n probes = 0\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n if not hid or hid in vus:\n continue\n vus.add(hid)\n price_ok = price_failures < BREAKER_LIMIT and probes < budget\n if price_ok:\n probes += 1\n try:\n lst, price_error = self._listing(hotel, price_ok=price_ok)\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n \"prix consécutifs : arrêt des requêtes prix \"\n \"(fiches sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","structuredPatch":[{"oldStart":139,"oldLines":16,"newStart":139,"newLines":18,"lines":[" timeout = 40"," "," # -- front.do « light » : métadonnées hôtel + session/token ----------------","- def _front_light(self, cid: str, hid: str) -> dict:","+ def _front_light(self, cid: str, hid: str,","+ sess: requests.Session) -> dict:"," tab = _tabid()"," base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"","- self.session.cookies.clear()","- resp = self.get(base + \"/front.do\",","+ resp = sess.get(base + \"/front.do\","," params={\"m\": \"booking\", \"mode\": \"light\","," \"custid\": cid, \"id\": cid, \"hotelid\": hid,"," \"partid\": \"0\", \"langcode\": \"FR\"},"," headers={\"Accept\": \"application/json\",","- \"X-MultiTabID\": tab})","+ \"X-MultiTabID\": tab},","+ timeout=self.timeout)","+ resp.raise_for_status()"," d = resp.json()"," d[\"_base\"], d[\"_tab\"] = base, tab"," return d"]},{"oldStart":156,"oldLines":7,"newStart":158,"newLines":7,"lines":[" def _meta(self, cid: str, hid: str) -> dict:"," \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et"," la session, périssables, ne sont jamais cachés).\"\"\"","- h = self._front_light(cid, hid).get(\"hotel\") or {}","+ h = self._front_light(cid, hid, _sticky_session()).get(\"hotel\") or {}"," keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\","," \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\","," \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"32492bf4-31c8-4e71-be9f-84f4ed36bc1f","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDw3bunbqaLtDTMNQxF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01H49FgwWLxNmUXuEFYZJGWf","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","old_string":" Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []","new_string":" Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur). Les 2 appels\n (front.do puis booking.do) partagent une session à IP collante ;\n un 2e essai avec une session neuve absorbe les IP mal notées.\"\"\"\n rooms: list = []\n for essai in (1, 2):\n http = _sticky_session()\n d = self._front_light(cid, hid, http)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = http.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\",\n \"nbRooms\": \"1\", \"numAdult(1)\": \"2\",\n \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess,\n \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess},\n timeout=self.timeout)\n try:\n resp.raise_for_status()\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n break\n except Exception: # noqa: BLE001 — filtre sécurité / non-JSON\n if essai == 2:\n raise"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":962,"cache_read_input_tokens":147977,"cache_creation":{"ephemeral_5m_input_tokens":962,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"b65036c5-4c9b-4e4c-ac56-4c52d5b509fc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01H49FgwWLxNmUXuEFYZJGWf","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e584947c-f544-49af-bac1-32e13179f5e0","timestamp":"2026-08-25T22:04:29.320Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/connectors/reservit.py","oldString":" Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []","newString":" Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur). Les 2 appels\n (front.do puis booking.do) partagent une session à IP collante ;\n un 2e essai avec une session neuve absorbe les IP mal notées.\"\"\"\n rooms: list = []\n for essai in (1, 2):\n http = _sticky_session()\n d = self._front_light(cid, hid, http)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = http.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\",\n \"nbRooms\": \"1\", \"numAdult(1)\": \"2\",\n \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess,\n \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess},\n timeout=self.timeout)\n try:\n resp.raise_for_status()\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n break\n except Exception: # noqa: BLE001 — filtre sécurité / non-JSON\n if essai == 2:\n raise","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Location court terme\n# connectors/reservit.py : hôtels québécois en RÉSERVATION DIRECTE via le\n# moteur Reservit (Interface Technologies, secure.reservit.com) — 247\n# établissements du roster data/hotels_engines.json (engine == \"reservit\",\n# engine_ids.hotelid requis ; custid surtout 58 = grossiste Québec).\n# 1 fiche StListing par HÔTEL (pas par chambre).\n#\n# API (rétro-ingéniérie du bundle Angular main.a1e6bc8d6849c9de.js — front\n# moderne « /fo/booking » ; JSON pur, AUCUN anti-bot, requêtes directes) :\n# base = https://secure.reservit.com/front{custid}-0-{hotelid}-{tabid}\n# où tabid = identifiant de 8 caractères GÉNÉRÉ CLIENT (arbitraire).\n# - GET {base}/front.do?m=booking&mode=light&custid=&id=&hotelid=&partid=0\n# &langcode=FR (en-têtes Accept: application/json + X-MultiTabID)\n# → hotel {name, address, city, zipcode, phone, email, url, latitude,\n# longitude, infosTxt, nearAttrTxt, chkin, curcode, licenseNumber\n# (= no CITQ), endSaleP (fin de mise en vente DD/MM/YYYY — dans le\n# PASSÉ ⇒ hôtel mort sur Reservit), photos[] (media.reservit.com),\n# services[{name,id}]} + user {token, sessionID}. CACHE détail « v1 ».\n# - GET {base}/booking.do?step=2&fromdate=DD/MM/YYYY&todate=…&nbNight=1\n# &roomID=1&nbRooms=1&numAdult(1)=2&numChild(1)=0&agesWithRoomID(1)=\n# &fromStep=step1¤cy=CAD (+ custid/id/hotelid/partid/langcode)\n# en-têtes X-SessionID + X-MultiTabID + Authorization: Bearer \n# + cookie JSESSIONID= (session/token FRAIS d'un front.do\n# light : jamais cachés) → datas.rooms[].rates[].price.amountBeforeTax\n# (l'affichage du widget, taxes en sus). Dates au format FR DD/MM/YYYY\n# (« ReservitFuckedPattern » dans le bundle, sic). FRAIS à chaque sync.\n# Écartés après essais live : /jreservit/recupSummaryAvailability.do et\n# POST /api/rs/secure/calendar/price/… (calendrier tout fermé / prix -1),\n# /rsl/booking/indexmodal.php (customerid ≠ hotelid, inutilisable en 58).\n#\n# Mapping :\n# - external_id = hotelid ; url = booking_url du roster (résa directe).\n# - custid : engine_ids.custid si numérique ≤ 6 chiffres, sinon extrait du\n# booking_url, sinon repli « 58 » (vérifié : un custid poubelle — id\n# Facebook — fonctionne avec 58).\n# - Séjour témoin : arrivée à J+21, 1 nuit, 2 adultes ; price_night =\n# minimum de rates[].price.amountBeforeTax toutes chambres retournées.\n# « Aucune chambre… » / hôtel fermé → fiche quand même, sans prix.\n# - title/photos/adresse/geo/CITQ/commodités : front.do light (caché) ;\n# region + ville joliment casée + citq de repli : join du roster.\n# - capacity = max « N PERSONNES » des typeName du sondage prix (frais).\n# - Budget : LOUKA_RESERVIT_DETAIL_LIMIT (défaut 250) sondages de prix par\n# sync (2 requêtes chacun) ; circuit breaker après 10 échecs consécutifs.\n# - Robustesse : try/except PAR hôtel (log [reservit] sur stderr).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport datetime as _dt\nimport html as _html\nimport json\nimport os\nimport re\nimport secrets\nimport sys\nfrom pathlib import Path\nfrom urllib.parse import quote\n\nimport requests\n\nfrom ...connectors._resilient import _secret\nfrom ..schema import StListing\nfrom .base import StConnector\nfrom .sithotels import _property_type, _titre\n\nROSTER = (Path(__file__).resolve().parent.parent.parent.parent\n / \"data\" / \"hotels_engines.json\")\n\nHOST = \"https://secure.reservit.com\"\nMAX_IMAGES = 20\nLEAD_DAYS = 21 # arrivée du séjour témoin (J+21, 1 nuit, 2 adultes)\nBREAKER_LIMIT = 10 # échecs prix consécutifs avant arrêt des sondages\nDEFAULT_CUSTID = \"58\" # grossiste Québec (208 des 247 hôtels du roster)\n\n_CAPACITY_RE = re.compile(r\"(\\d+)\\s*PERSONNES\", re.I)\n_BOOKING_URL_CUSTID_RE = re.compile(r\"reservit\\.com/engine/booking/(\\d+)/\")\n\n\ndef _tabid() -> str:\n \"\"\"Reproduit le multiTabID du widget : identifiant client arbitraire.\"\"\"\n return secrets.token_hex(4)\n\n\n_UA = (\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 \"\n \"(KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\")\n\n\ndef _sticky_session() -> requests.Session:\n \"\"\"Session HTTP dédiée à UN hôtel. secure.reservit.com lie JSESSIONID et\n token à l'IP appelante : le direct est banni depuis ce nœud après quelques\n centaines de requêtes, et le proxy TOURNANT de l'escalade standard change\n d'IP entre front.do et booking.do → « Error Security Filter ». Il faut une\n IP résidentielle COLLANTE (sessid Oxylabs, ~10 min) le temps des 2 appels.\"\"\"\n s = requests.Session()\n s.headers[\"User-Agent\"] = _UA\n user, pwd = _secret(\"OXYLABS_PROXY_USER\"), _secret(\"OXYLABS_PROXY_PASS\")\n if user and pwd:\n endpoint = _secret(\"OXYLABS_PROXY\") or \"pr.oxylabs.io:7777\"\n puser = f\"{user}-cc-CA-sessid-{secrets.token_hex(5)}-sesstime-10\"\n proxy = (f\"http://{quote(puser, safe='')}:{quote(pwd, safe='')}\"\n f\"@{endpoint}\")\n s.proxies = {\"http\": proxy, \"https\": proxy}\n s.verify = False # noqa: S501 — CA MITM Oxylabs\n return s\n\n\ndef _custid(hotel: dict) -> str:\n \"\"\"custid numérique plausible (≤ 6 chiffres), sinon booking_url, sinon 58.\"\"\"\n raw = str((hotel.get(\"engine_ids\") or {}).get(\"custid\") or \"\").strip()\n if raw.isdigit() and len(raw) <= 6:\n return raw\n m = _BOOKING_URL_CUSTID_RE.search(str(hotel.get(\"booking_url\") or \"\"))\n if m and len(m.group(1)) <= 6:\n return m.group(1)\n return DEFAULT_CUSTID\n\n\ndef _past(date_fr: str) -> bool:\n \"\"\"endSaleP « DD/MM/YYYY » dans le passé ⇒ hôtel mort sur Reservit.\"\"\"\n try:\n d, m, y = str(date_fr or \"\").strip().split(\"/\")\n return _dt.date(int(y), int(m), int(d)) < _dt.date.today()\n except Exception: # noqa: BLE001\n return False\n\n\ndef _clean(txt: str) -> str:\n \"\"\"Déséchappe le HTML (y compris les entités cp1252 « œ » → « œ »\n vues dans les infosTxt Reservit) et normalise les espaces.\"\"\"\n txt = _html.unescape(str(txt or \"\"))\n txt = \"\".join(bytes([ord(c)]).decode(\"cp1252\", \"ignore\")\n if 0x80 <= ord(c) <= 0x9F else c for c in txt)\n return re.sub(r\"[ \\t]+\", \" \", txt).strip()\n\n\nclass Reservit(StConnector):\n source_id = \"reservit\"\n request_delay = 0.5\n timeout = 40\n\n # -- front.do « light » : métadonnées hôtel + session/token ----------------\n def _front_light(self, cid: str, hid: str,\n sess: requests.Session) -> dict:\n tab = _tabid()\n base = f\"{HOST}/front{cid}-0-{hid}-{tab}\"\n resp = sess.get(base + \"/front.do\",\n params={\"m\": \"booking\", \"mode\": \"light\",\n \"custid\": cid, \"id\": cid, \"hotelid\": hid,\n \"partid\": \"0\", \"langcode\": \"FR\"},\n headers={\"Accept\": \"application/json\",\n \"X-MultiTabID\": tab},\n timeout=self.timeout)\n resp.raise_for_status()\n d = resp.json()\n d[\"_base\"], d[\"_tab\"] = base, tab\n return d\n\n def _meta(self, cid: str, hid: str) -> dict:\n \"\"\"Payload STATIQUE cachable « v1 » : l'objet hotel épuré (le token et\n la session, périssables, ne sont jamais cachés).\"\"\"\n h = self._front_light(cid, hid, _sticky_session()).get(\"hotel\") or {}\n keep = (\"name\", \"address\", \"city\", \"zipcode\", \"phone\", \"email\", \"url\",\n \"latitude\", \"longitude\", \"infosTxt\", \"nearAttrTxt\", \"chkin\",\n \"curcode\", \"minStay\", \"licenseNumber\", \"endSaleP\")\n meta = {k: h.get(k) for k in keep if h.get(k) not in (None, \"\")}\n meta[\"photos\"] = [p for p in h.get(\"photos\") or []\n if isinstance(p, str) and p.startswith(\"http\")]\n meta[\"services\"] = [s.get(\"name\") for s in h.get(\"services\") or []\n if isinstance(s, dict) and s.get(\"name\")]\n return {\"hotel\": meta}\n\n # -- prix (frais à chaque sync : jamais caché) ------------------------------\n def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:\n \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées.\n Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel\n est fermé ou sans disponibilité (pas une erreur).\"\"\"\n d = self._front_light(cid, hid)\n hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}\n if _past(hotel.get(\"endSaleP\")):\n return None, {} # hôtel mort sur Reservit\n token, sess = user.get(\"token\"), user.get(\"sessionID\")\n if not token or not sess:\n return None, {}\n\n day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)\n f_fr = day.strftime(\"%d/%m/%Y\")\n t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")\n resp = self.get(d[\"_base\"] + \"/booking.do\",\n params={\"step\": \"2\", \"custid\": cid, \"id\": cid,\n \"hotelid\": hid, \"partid\": \"0\",\n \"langcode\": \"FR\", \"currency\": \"CAD\",\n \"fromStep\": \"step1\",\n \"fromdate\": f_fr, \"todate\": t_fr,\n \"fromDate\": f_fr, \"toDate\": t_fr,\n \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",\n \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",\n \"agesWithRoomID(1)\": \"\"},\n headers={\"Accept\": \"application/json\",\n \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],\n \"Authorization\": \"Bearer \" + token},\n cookies={\"JSESSIONID\": sess})\n rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []\n best, capacity = None, None\n for r in rooms:\n typ = r.get(\"type\") or {}\n m = _CAPACITY_RE.search(str(typ.get(\"typeName\") or \"\"))\n if m and (capacity is None or int(m.group(1)) > capacity):\n capacity = int(m.group(1))\n for rate in r.get(\"rates\") or []:\n p = rate.get(\"price\") or {}\n val = p.get(\"amountBeforeTax\")\n if not isinstance(val, (int, float)):\n val = p.get(\"amountAfterTax\")\n if isinstance(val, (int, float)) and 20 <= val <= 20000 \\\n and (best is None or val < best):\n best = round(float(val), 2)\n extras: dict = {}\n if rooms:\n extras[\"room_count\"] = len(rooms)\n if capacity:\n extras[\"capacity\"] = capacity\n return best, extras\n\n # -- une fiche par hôtel -----------------------------------------------------\n def _listing(self, hotel: dict, price_ok: bool) -> tuple[StListing, bool]:\n \"\"\"Construit la fiche ; retourne (listing, échec_du_sondage_prix).\"\"\"\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n cid = _custid(hotel)\n\n # métadonnées Reservit (cachées) — leur absence ne tue pas la fiche :\n # le join SIT du roster (nom, ville, région, CITQ) a de la valeur seul\n meta: dict = {}\n try:\n meta = self.detail(hid, \"v1\",\n lambda c=cid, h=hid: self._meta(c, h)) \\\n .get(\"hotel\") or {}\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] métadonnées {hotel.get('name')} ({hid}) : \"\n f\"{exc}\", file=sys.stderr)\n\n title = _clean(meta.get(\"name\")) or _titre(hotel.get(\"name\") or \"\")\n if title == title.upper(): # « HOTEL RIMOUSKI » → recasage SIT\n title = _titre(title)\n city = _clean(hotel.get(\"city\")) or _titre(_clean(meta.get(\"city\")))\n region = str(hotel.get(\"region\") or \"\").replace(\"--\", \"–\")\n ptype = _property_type(title)\n\n # prix frais (jamais caché) — sauté si breaker ouvert / budget épuisé /\n # hôtel mort ; un échec du sondage ne fait jamais tomber la fiche\n price, extras, price_error = None, {}, False\n if price_ok and not _past(meta.get(\"endSaleP\")):\n try:\n price, extras = self._probe_price(cid, hid)\n except Exception as exc: # noqa: BLE001\n price_error = True\n print(f\"[reservit] prix {title} ({cid}/{hid}) : {exc}\",\n file=sys.stderr)\n\n # description : textes de l'hôtel (infos + à proximité), sinon\n # paragraphe éditorial assemblé à partir des faits\n parts = [_clean(p) for p in\n (meta.get(\"infosTxt\"), meta.get(\"nearAttrTxt\")) if p]\n if parts:\n description = parts[0]\n if len(parts) > 1:\n description += \"\\n\\nÀ proximité : \" + parts[1]\n else:\n feminin = ptype == \"Auberge\"\n phrases = [f\"{title} est un{'e' if feminin else ''} \"\n f\"{ptype.lower()}\"\n + (f\" situé{'e' if feminin else ''} à {city}\" if city\n else \"\")\n + (f\", dans la région {region}\" if region else \"\")\n + \". Réservation directe en ligne auprès de \"\n \"l'établissement (moteur Reservit).\"]\n if hotel.get(\"citq\"):\n phrases.append(\"Établissement d'hébergement touristique \"\n f\"enregistré (no CITQ {hotel['citq']}).\")\n description = \" \".join(phrases)\n\n details: dict = {\"booking_engine\": \"reservit\"}\n if extras.get(\"room_count\"):\n details[\"room_types\"] = extras[\"room_count\"]\n if meta.get(\"phone\"):\n details[\"phone\"] = _clean(meta[\"phone\"])\n if meta.get(\"email\"):\n details[\"email\"] = _clean(meta[\"email\"])\n if meta.get(\"zipcode\"):\n details[\"postal_code\"] = _clean(meta[\"zipcode\"])\n if meta.get(\"chkin\"):\n details[\"checkin\"] = str(meta[\"chkin\"])[:5]\n site = _clean(meta.get(\"url\"))\n if site.startswith(\"http\") and \"reservit.com\" not in site:\n details[\"website\"] = site\n elif hotel.get(\"website\") \\\n and \"reservit.com\" not in str(hotel[\"website\"]):\n details[\"website\"] = hotel[\"website\"]\n\n lat, lng = meta.get(\"latitude\"), meta.get(\"longitude\")\n\n return StListing(\n source=self.source_id,\n external_id=hid,\n url=hotel.get(\"booking_url\")\n or f\"{HOST}/engine/booking/{cid}/{hid}/dates?langcode=FR\",\n title=title,\n property_type=ptype,\n address=_clean(meta.get(\"address\")),\n city=city,\n region=region,\n price_night=price,\n price_label=(f\"À partir de {price:g} $ / nuit\" if price else \"\"),\n capacity=(float(extras[\"capacity\"])\n if extras.get(\"capacity\") else None),\n citq=str(hotel.get(\"citq\") or meta.get(\"licenseNumber\")\n or \"\").strip(),\n description=description[:5000],\n amenities=[_clean(s) for s in meta.get(\"services\") or []],\n details=details,\n images=(meta.get(\"photos\") or [])[:MAX_IMAGES],\n lat=float(lat) if lat is not None else None,\n lng=float(lng) if lng is not None else None,\n ), price_error\n\n # -- contrat ----------------------------------------------------------------\n def fetch(self) -> list[StListing]:\n try:\n roster = json.loads(ROSTER.read_text(encoding=\"utf-8\"))\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] roster illisible ({ROSTER}) : {exc}\",\n file=sys.stderr)\n return []\n hotels = [h for h in roster.get(\"hotels\") or []\n if h.get(\"engine\") == \"reservit\"\n and (h.get(\"engine_ids\") or {}).get(\"hotelid\")]\n\n budget = int(os.environ.get(\"LOUKA_RESERVIT_DETAIL_LIMIT\", \"250\"))\n listings: list[StListing] = []\n vus: set[str] = set()\n probes = 0\n price_failures = 0 # circuit breaker sur le sondage des prix\n for hotel in hotels:\n hid = str(hotel[\"engine_ids\"][\"hotelid\"]).strip()\n if not hid or hid in vus:\n continue\n vus.add(hid)\n price_ok = price_failures < BREAKER_LIMIT and probes < budget\n if price_ok:\n probes += 1\n try:\n lst, price_error = self._listing(hotel, price_ok=price_ok)\n except Exception as exc: # noqa: BLE001\n print(f\"[reservit] {hotel.get('name')} ({hid}) : {exc}\",\n file=sys.stderr)\n continue\n if price_error:\n price_failures += 1\n if price_failures == BREAKER_LIMIT:\n print(f\"[reservit] {BREAKER_LIMIT} échecs de sondage de \"\n \"prix consécutifs : arrêt des requêtes prix \"\n \"(fiches sans prix ensuite)\", file=sys.stderr)\n elif price_failures < BREAKER_LIMIT:\n price_failures = 0\n listings.append(lst)\n return listings\n","structuredPatch":[{"oldStart":173,"oldLines":33,"newStart":173,"newLines":47,"lines":[" def _probe_price(self, cid: str, hid: str) -> tuple[float | None, dict]:"," \"\"\"Tarif minimum (1 nuit à J+21, 2 adultes) toutes chambres proposées."," Retourne (prix, extras {capacity, room_count}) — (None, {}) si l'hôtel","- est fermé ou sans disponibilité (pas une erreur).\"\"\"","- d = self._front_light(cid, hid)","- hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}","- if _past(hotel.get(\"endSaleP\")):","- return None, {} # hôtel mort sur Reservit","- token, sess = user.get(\"token\"), user.get(\"sessionID\")","- if not token or not sess:","- return None, {}","+ est fermé ou sans disponibilité (pas une erreur). Les 2 appels","+ (front.do puis booking.do) partagent une session à IP collante ;","+ un 2e essai avec une session neuve absorbe les IP mal notées.\"\"\"","+ rooms: list = []","+ for essai in (1, 2):","+ http = _sticky_session()","+ d = self._front_light(cid, hid, http)","+ hotel, user = d.get(\"hotel\") or {}, d.get(\"user\") or {}","+ if _past(hotel.get(\"endSaleP\")):","+ return None, {} # hôtel mort sur Reservit","+ token, sess = user.get(\"token\"), user.get(\"sessionID\")","+ if not token or not sess:","+ return None, {}"," ","- day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)","- f_fr = day.strftime(\"%d/%m/%Y\")","- t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")","- resp = self.get(d[\"_base\"] + \"/booking.do\",","- params={\"step\": \"2\", \"custid\": cid, \"id\": cid,","- \"hotelid\": hid, \"partid\": \"0\",","- \"langcode\": \"FR\", \"currency\": \"CAD\",","- \"fromStep\": \"step1\",","- \"fromdate\": f_fr, \"todate\": t_fr,","- \"fromDate\": f_fr, \"toDate\": t_fr,","- \"nbNight\": \"1\", \"roomID\": \"1\", \"nbRooms\": \"1\",","- \"numAdult(1)\": \"2\", \"numChild(1)\": \"0\",","- \"agesWithRoomID(1)\": \"\"},","- headers={\"Accept\": \"application/json\",","- \"X-SessionID\": sess, \"X-MultiTabID\": d[\"_tab\"],","- \"Authorization\": \"Bearer \" + token},","- cookies={\"JSESSIONID\": sess})","- rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []","+ day = _dt.date.today() + _dt.timedelta(days=LEAD_DAYS)","+ f_fr = day.strftime(\"%d/%m/%Y\")","+ t_fr = (day + _dt.timedelta(days=1)).strftime(\"%d/%m/%Y\")","+ resp = http.get(d[\"_base\"] + \"/booking.do\",","+ params={\"step\": \"2\", \"custid\": cid, \"id\": cid,","+ \"hotelid\": hid, \"partid\": \"0\",","+ \"langcode\": \"FR\", \"currency\": \"CAD\",","+ \"fromStep\": \"step1\",","+ \"fromdate\": f_fr, \"todate\": t_fr,","+ \"fromDate\": f_fr, \"toDate\": t_fr,","+ \"nbNight\": \"1\", \"roomID\": \"1\",","+ \"nbRooms\": \"1\", \"numAdult(1)\": \"2\",","+ \"numChild(1)\": \"0\",","+ \"agesWithRoomID(1)\": \"\"},","+ headers={\"Accept\": \"application/json\",","+ \"X-SessionID\": sess,","+ \"X-MultiTabID\": d[\"_tab\"],","+ \"Authorization\": \"Bearer \" + token},","+ cookies={\"JSESSIONID\": sess},","+ timeout=self.timeout)","+ try:","+ resp.raise_for_status()","+ rooms = ((resp.json().get(\"datas\") or {}).get(\"rooms\")) or []","+ break","+ except Exception: # noqa: BLE001 — filtre sécurité / non-JSON","+ if essai == 2:","+ raise"," best, capacity = None, None"," for r in rooms:"," typ = r.get(\"type\") or {}"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bd2e1b83-cb88-43c2-827b-26bf11535f89","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQDxJAHhVmkJhyCEsgoT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HCo5qkwyfMLZEpqtioFqCN","name":"Bash","input":{"command":".venv/bin/python - <<'EOF' 2>/dev/null\nfrom louka.shortterm.connectors.reservit import Reservit\nc = Reservit(); c.use_detail_cache = False\nfor cid, hid, nom in [(\"58\",\"428839\",\"Hotel Bromont\"), (\"515\",\"13445\",\"Normandin Québec\"), (\"58\",\"198970\",\"3 canards\"), (\"58\",\"118960\",\"Dauphin Drummondville\")]:\n try:\n price, extra = c._probe_price(cid, hid)\n print(nom, \"→\", price, extra)\n except Exception as e:\n print(nom, \"ÉCHEC:\", type(e).__name__, str(e)[:100])\nEOF","description":"Retest failed hotels with sticky proxy sessions"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2075,"cache_read_input_tokens":148939,"cache_creation":{"ephemeral_5m_input_tokens":2075,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c9b74487-a8cf-4b99-9626-af8170db2392"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bmraq1bfg","tool_use_id":"toolu_01HCo5qkwyfMLZEpqtioFqCN","status":"completed","output_file":"","summary":"Retest failed hotels with sticky proxy sessions","uuid":"48e3f088-c8b0-4e80-a570-c85f807ec492","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6bab243f-98e9-47b7-9781-b86e3ce78bef","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HCo5qkwyfMLZEpqtioFqCN","type":"tool_result","content":"Hotel Bromont → 149.0 {'room_count': 13}\nNormandin Québec → 221.0 {'room_count': 11, 'capacity': 5}\n3 canards → 190.0 {'room_count': 7}\nDauphin Drummondville → None {}","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"c146fa9c-38d4-4bef-8696-a55289bb3fbe","timestamp":"2026-08-25T22:05:06.464Z","tool_use_result":{"stdout":"Hotel Bromont → 149.0 {'room_count': 13}\nNormandin Québec → 221.0 {'room_count': 11, 'capacity': 5}\n3 canards → 190.0 {'room_count': 7}\nDauphin Drummondville → None {}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bmraq1bfg","tool_use_id":"toolu_01HCo5qkwyfMLZEpqtioFqCN","description":"Retest failed hotels with sticky proxy sessions","task_type":"local_bash","uuid":"08f996fe-22a1-430c-9f25-7b075bf84181","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQE12v6SRNZBTKG625tK","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":407,"cache_read_input_tokens":151014,"cache_creation":{"ephemeral_5m_input_tokens":407,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"d5c07bab-c3cf-4d61-9075-3ffb1be262d8"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQE12v6SRNZBTKG625tK","type":"message","role":"assistant","content":[{"type":"text","text":"Correctif validé — les hôtels en échec renvoient maintenant leurs prix (Bromont 149 $, Normandin 221 $, 3 Canards 190 $). Je relance un sync Reservit pour remplir les prix manquants."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":407,"cache_read_input_tokens":151014,"cache_creation":{"ephemeral_5m_input_tokens":407,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"211b1572-ec32-404e-b0d1-0e8cebe0ffbd"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQE12v6SRNZBTKG625tK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019HhuLaoqAKgKSBsP6x1LdT","name":"Bash","input":{"command":"nohup .venv/bin/python run.py sync-ct reservit > /tmp/louka-ct-reservit2.log 2>&1 & echo \"PID $!\"","description":"Re-sync reservit with sticky-session fix"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":407,"cache_read_input_tokens":151014,"cache_creation":{"ephemeral_5m_input_tokens":407,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"e3afde1e-25a2-419b-b041-633e6998fa09"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019HhuLaoqAKgKSBsP6x1LdT","type":"tool_result","content":"PID 45652","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"095d7e6d-6903-414b-8824-c1cf99e256e5","timestamp":"2026-08-25T22:05:16.712Z","tool_use_result":{"stdout":"PID 45652","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f2435015-a12e-4803-b5cc-0d55b598697d","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQE1nsXGDtVHSqgFoMYE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GhxbcWEZ35wJTqfnevZ6xi","name":"Bash","input":{"command":"until ! pgrep -f \"run.py sync-ct reservit\" >/dev/null; do sleep 30; done; echo FINI; grep \"{'source'\" /tmp/louka-ct-reservit2.log; grep -c \"\\[reservit\\]\" /tmp/louka-ct-reservit2.log","description":"Wait for reservit re-sync","run_in_background":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":373,"cache_read_input_tokens":151421,"cache_creation":{"ephemeral_5m_input_tokens":373,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"9dd80b5b-c668-4b86-b546-0542e1404bdb"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bwzuix9uf","tool_use_id":"toolu_01GhxbcWEZ35wJTqfnevZ6xi","description":"Wait for reservit re-sync","task_type":"local_bash","uuid":"41f409eb-4b07-4b14-b2a9-ca9494557ab9","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GhxbcWEZ35wJTqfnevZ6xi","type":"tool_result","content":"Command running in background with ID: bwzuix9uf. Output is being written to: /private/tmp/claude-501/-Users-simon-pierreboucher-apps-lou-ka/f973b029-c871-471f-a619-68f6aefa42d2/tasks/bwzuix9uf.output","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"ebbd0d0a-1467-4a46-a2bf-038dd4c23edc","timestamp":"2026-08-25T22:05:20.870Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"backgroundTaskId":"bwzuix9uf"}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ec1f90ba-bc9e-4aa7-892b-d9ceed0f4253","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} 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Il reste airbnb en phase d'enrichissement des pages détail, puis je ferai le bilan 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Mer (58/438806) : HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-438806-e8ec5156/front.do?m=booking&mode=light&custid=58&id=58&hotelid=438806&partid=0&langcode=FR (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 403 Forbidden')))\n[reservit] métadonnées AUBERGE SAINT-MATHIEU (425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Auberge Saint-Mathieu (2271/425762) : Expecting value: line 1 column 1 (char 0)\n235|178","is_error":false}]},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"889d2c5e-97cd-4aed-b5f9-8dfc118d86f3","timestamp":"2026-08-25T22:19:28.850Z","tool_use_result":{"stdout":"[lou-ka/ct] {'source': 'reservit', 'found': 235, 'added': 0, 'updated': 116, 'removed': 0, 'seconds': 839.9}\n[reservit] métadonnées HÔTEL-SPA WATEL (29383) : 'NoneType' object does not support item assignment\n[reservit] prix Hôtel-Spa Watel (270/29383) : 'NoneType' object does not support item assignment\n[reservit] prix Motel Manoir sur Mer (58/438806) : HTTPSConnectionPool(host='secure.reservit.com', port=443): Max retries exceeded with url: /front58-0-438806-e8ec5156/front.do?m=booking&mode=light&custid=58&id=58&hotelid=438806&partid=0&langcode=FR (Caused by ProxyError('Unable to connect to proxy', OSError('Tunnel connection failed: 403 Forbidden')))\n[reservit] métadonnées AUBERGE SAINT-MATHIEU (425762) : Expecting value: line 1 column 1 (char 0)\n[reservit] prix Auberge Saint-Mathieu (2271/425762) : Expecting value: line 1 column 1 (char 0)\n235|178","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bc26bd9d-807a-45dc-996e-4dd3881747bf","session_id":"f973b029-c871-471f-a619-68f6aefa42d2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQF6c4uEoBXr6rxqcPqa","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":644,"cache_read_input_tokens":162709,"cache_creation":{"ephemeral_5m_input_tokens":644,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"52686847-032b-40f6-bd83-1510e1f92883"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeQF6c4uEoBXr6rxqcPqa","type":"message","role":"assistant","content":[{"type":"text","text":"Re-sync Reservit concluant : **178/235 fiches avec prix (76 %)**, au-dessus même de l'attendu (65-70 %). Les échecs restants sont marginaux (2 hôtels sur des distributeurs exotiques custid 270/2271, 1 erreur proxy transitoire) — le watch les retentera à chaque cycle.\n\nÉtat final du volet hôtels :\n\n| Source | Fiches | Avec prix | Photos | Géoloc | CITQ |\n|---|---|---|---|---|---|\n| sithotels | 1 542 | — (squelette officiel) | — | 100 % | 100 % |\n| origine | 35 | 100 % | 100 % | 100 % | 97 % |\n| mews | 110 | 94 % | 100 % | 98 % | 100 % |\n| reservit | 235 | 76 % | 96 % | 99 % | 100 % |\n\nTout est commité et poussé (`e53dea6`), le web tourne avec la fiche hôtel vérifiée en navigateur. Il ne reste que la fin de la campagne principale (airbnb en enrichissement des pages détail) — le Monitor me notifiera, puis je produirai le bilan final avant/après et je mettrai la mémoire à jour."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":644,"cache_read_input_tokens":162709,"cache_creation":{"ephemeral_5m_input_tokens":644,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"f973b029-c871-471f-a619-68f6aefa42d2","uuid":"3ebcb83d-2e35-49ad-a5ad-0e1331834034"}} {"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":21724,"duration_api_ms":5247243,"num_turns":2,"result":"Re-sync Reservit concluant : **178/235 fiches avec prix (76 %)**, au-dessus même de l'attendu (65-70 %). Les échecs restants sont marginaux (2 hôtels sur des distributeurs exotiques custid 270/2271, 1 erreur proxy transitoire) — le watch les retentera à chaque cycle.\n\nÉtat final du volet hôtels :\n\n| Source | Fiches | Avec prix | Photos | Géoloc | CITQ |\n|---|---|---|---|---|---|\n| sithotels | 1 542 | — (squelette officiel) | — | 100 % | 100 % |\n| origine | 35 | 100 % | 100 % | 100 % | 97 % |\n| mews | 110 | 94 % | 100 % | 98 % | 100 % |\n| reservit | 235 | 76 % | 96 % | 99 % | 100 % |\n\nTout est commité et poussé (`e53dea6`), le web tourne avec la fiche hôtel vérifiée en navigateur. Il ne reste que la fin de la campagne principale (airbnb en enrichissement des pages détail) — le Monitor me notifiera, puis je produirai le bilan final avant/après et je mettrai la mémoire à jour.","stop_reason":"end_turn","session_id":"f973b029-c871-471f-a619-68f6aefa42d2","total_cost_usd":20.432714099999977,"usage":{"input_tokens":4,"cache_creation_input_tokens":147132,"cache_read_input_tokens":178930,"output_tokens":1060,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":147132},"inference_geo":"","iterations":[{"input_tokens":2,"output_tokens":843,"cache_read_input_tokens":162709,"cache_creation_input_tokens":644,"cache_creation":{"ephemeral_5m_input_tokens":644,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-fable-5":{"inputTokens":292904,"outputTokens":293448,"cacheReadInputTokens":33070382,"cacheCreationInputTokens":1394978,"webSearchRequests":0,"costUSD":20.432714099999977,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"805e4383-81b8-4756-9cec-63490a884dc1"}} {"type":"status","state":"idle"}