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api-ka source layout and logs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5046,"cache_read_input_tokens":32241,"cache_creation":{"ephemeral_5m_input_tokens":5046,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8cb77277-be56-44f6-84e3-3f4761d7a3a2","request_id":"req_011CeK54MZHSzH5mJuXTgCCy"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016hrUwT797HFJfPVeZbgpp6","type":"tool_result","content":"src/__init__.py\nsrc/config.py\n\ndata:\napika.db\nbackups\n\nscripts:\n__pycache__\nbackfill_api_requests.py\ndeploy_m3u96b.sh\nhealthcheck.sh\nrun_daily_backup.sh\nstart_ngrok.sh\n\nsrc:\n__init__.py\n__pycache__\napi\ncollectors\nconfig.py\ndatabase\nmonitoring\nscheduler\nutils\n\nsrc/__pycache__:\n__init__.cpython-314.pyc\nconfig.cpython-314.pyc\n\nsrc/api:\n__init__.py\n__pycache__\necopdf.py\nkapdf.py\nmain.py\nmiddleware\nreqstats.py\nroutes\nweb\n\nsrc/collectors:\n__init__.py\n__pycache__\nautoka_collector.py\nbase_collector.py\ncreaka_collector.py\nfabrika_collector.py\nfoodka_collector.py\nimmoka_collector.py\njobka_collector.py\nlouka_collector.py\nrestoka_collector.py\nsortika_collector.py\n\nsrc/database:\n__init__.py\n__pycache__\ndb.py\nmigrations\nmodels.py\n\nsrc/monitoring:\n__init__.py\n__pycache__\nconnector_health.py\n\nsrc/scheduler:\n__init__.py\n__pycache__\nbackfill.py\ndaily_job.py\n\nsrc/utils:\n__init__.py\n__pycache__\nbackup.py\nlogger.py\nretry.py\n---LOGS---\n-rw-r--r--@ 1 simon-pierreboucher staff 408758 Aug 22 23:58 apika.log.2026-08-22\n-rw-r--r-- 1 simon-pierreboucher staff 13353 Aug 22 04:11 backup_cron.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1022 Aug 16 18:15 daily_2026-08-16.log\n-rw-r--r--@ 1 simon-pierreboucher staff 805 Aug 17 02:59 daily_2026-08-17.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1366 Aug 19 03:31 daily_2026-08-19.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1366 Aug 20 04:02 daily_2026-08-20.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1367 Aug 21 04:02 daily_2026-08-21.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1372 Aug 22 04:16 daily_2026-08-22.log\n-rw-r--r-- 1 simon-pierreboucher staff 577 Aug 16 19:19 fabrika_rerun.log\n-rw-r--r-- 1 simon-pierreboucher staff 10173 Aug 16 18:16 first_run.log","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ac391e36-6ad2-4864-8fa3-783610460dcb","timestamp":"2026-08-23T04:44:59.031Z","tool_use_result":{"stdout":"src/__init__.py\nsrc/config.py\n\ndata:\napika.db\nbackups\n\nscripts:\n__pycache__\nbackfill_api_requests.py\ndeploy_m3u96b.sh\nhealthcheck.sh\nrun_daily_backup.sh\nstart_ngrok.sh\n\nsrc:\n__init__.py\n__pycache__\napi\ncollectors\nconfig.py\ndatabase\nmonitoring\nscheduler\nutils\n\nsrc/__pycache__:\n__init__.cpython-314.pyc\nconfig.cpython-314.pyc\n\nsrc/api:\n__init__.py\n__pycache__\necopdf.py\nkapdf.py\nmain.py\nmiddleware\nreqstats.py\nroutes\nweb\n\nsrc/collectors:\n__init__.py\n__pycache__\nautoka_collector.py\nbase_collector.py\ncreaka_collector.py\nfabrika_collector.py\nfoodka_collector.py\nimmoka_collector.py\njobka_collector.py\nlouka_collector.py\nrestoka_collector.py\nsortika_collector.py\n\nsrc/database:\n__init__.py\n__pycache__\ndb.py\nmigrations\nmodels.py\n\nsrc/monitoring:\n__init__.py\n__pycache__\nconnector_health.py\n\nsrc/scheduler:\n__init__.py\n__pycache__\nbackfill.py\ndaily_job.py\n\nsrc/utils:\n__init__.py\n__pycache__\nbackup.py\nlogger.py\nretry.py\n---LOGS---\n-rw-r--r--@ 1 simon-pierreboucher staff 408758 Aug 22 23:58 apika.log.2026-08-22\n-rw-r--r-- 1 simon-pierreboucher staff 13353 Aug 22 04:11 backup_cron.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1022 Aug 16 18:15 daily_2026-08-16.log\n-rw-r--r--@ 1 simon-pierreboucher staff 805 Aug 17 02:59 daily_2026-08-17.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1366 Aug 19 03:31 daily_2026-08-19.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1366 Aug 20 04:02 daily_2026-08-20.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1367 Aug 21 04:02 daily_2026-08-21.log\n-rw-r--r--@ 1 simon-pierreboucher staff 1372 Aug 22 04:16 daily_2026-08-22.log\n-rw-r--r-- 1 simon-pierreboucher staff 577 Aug 16 19:19 fabrika_rerun.log\n-rw-r--r-- 1 simon-pierreboucher staff 10173 Aug 16 18:16 first_run.log","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK54NzbyQ7Dd8qni4vRs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B1xMN6LUW57oqytmUYrS5u","name":"Bash","input":{"command":"ssh M3U96b 'cd /opt/api-ka && cat CLAUDE.md 2>/dev/null | head -100'","description":"Read api-ka CLAUDE.md for architecture overview"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5046,"cache_read_input_tokens":32241,"cache_creation":{"ephemeral_5m_input_tokens":5046,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e010cee6-1e0f-4dd3-8e52-5f9b151c5f38","request_id":"req_011CeK54MZHSzH5mJuXTgCCy"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B1xMN6LUW57oqytmUYrS5u","type":"tool_result","content":"# CLAUDE.md — Projet API-KA\n\n## Vision du projet\n\n**API-KA** est la plateforme centrale légendaire de l'écosystème KA. Elle collecte, sauvegarde et centralise **chaque jour** les données de tous les services KA (lou-ka, immo-ka, food-ka, auto-ka, fabri-ka, resto-ka, sorti-ka, crea-ka) dans une base de données unifiée, puis les expose via une API publique accessible sur **www.api-ka.com** (tunnel ngrok).\n\n**Tout le déploiement se fait sur le node `m3u96b`.** Aucun service de production ne tourne ailleurs.\n\n## Auteur — OBLIGATOIRE dans chaque fichier\n\nChaque fichier de code (Python, JS, SQL, shell, config, etc.) DOIT commencer par un en-tête d'auteur. Règle non négociable — aucun fichier sans en-tête.\n\n**Python / Shell / SQL / YAML :**\n```\n# ============================================\n# Projet : API-KA\n# Fichier : \n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : \n# ============================================\n```\n\n**JavaScript / TypeScript :**\n```javascript\n/**\n * ============================================\n * Projet : API-KA\n * Fichier : \n * Node : m3u96b\n * Author : Simon-Pierre Boucher\n * Contact : contact@spboucher.ai\n * Date : \n * ============================================\n */\n```\n\n## Node de déploiement : m3u96b\n\n- **Node cible unique** : `m3u96b`. Tous les services (API, scheduler, base de données, tunnel ngrok) tournent sur ce node.\n- Répertoire de déploiement : `/opt/api-ka/` sur m3u96b.\n- Données et backups : `/opt/api-ka/data/` et `/opt/api-ka/data/backups/`.\n- Logs centralisés : `/opt/api-ka/logs/`.\n- Les services sont gérés par **systemd** sur m3u96b (voir section \"Services systemd\").\n- Toute commande de déploiement, cron ou service doit référencer explicitement m3u96b dans sa documentation et ses logs (`hostname` vérifié au démarrage : si le hostname n'est pas `m3u96b`, le service refuse de démarrer en mode production et log un avertissement).\n\n### Vérification du node au démarrage (obligatoire dans chaque service)\n\n```python\nimport socket, os\n\nREQUIRED_NODE = \"m3u96b\"\n\ndef verify_node():\n hostname = socket.gethostname()\n if os.getenv(\"APP_ENV\") == \"production\" and hostname != REQUIRED_NODE:\n raise RuntimeError(f\"API-KA doit tourner sur {REQUIRED_NODE}, node actuel : {hostname}\")\n```\n\n## Sources de données (les 8 services KA)\n\n| Service | Table | Variable source | Fréquence |\n|-----------|------------------|----------------------|-------------|\n| lou-ka | `louka_data` | `LOUKA_SOURCE_URL` | Quotidienne |\n| immo-ka | `immoka_data` | `IMMOKA_SOURCE_URL` | Quotidienne |\n| food-ka | `foodka_data` | `FOODKA_SOURCE_URL` | Quotidienne |\n| auto-ka | `autoka_data` | `AUTOKA_SOURCE_URL` | Quotidienne |\n| fabri-ka | `fabrika_data` | `FABRIKA_SOURCE_URL` | Quotidienne |\n| resto-ka | `restoka_data` | `RESTOKA_SOURCE_URL` | Quotidienne |\n| sorti-ka | `sortika_data` | `SORTIKA_SOURCE_URL` | Quotidienne |\n| crea-ka | `creaka_data` | `CREAKA_SOURCE_URL` | Quotidienne |\n\n**RÈGLE CRITIQUE : les données de chaque service DOIVENT être sauvegardées tous les jours, sans exception.**\n- Chaque exécution quotidienne est journalisée.\n- Tout échec de collecte est détecté, loggé et relancé automatiquement (3 tentatives, backoff exponentiel : 30s → 2min → 10min).\n- Si un service échoue après 3 tentatives, une entrée `status=failed` est écrite dans `collection_runs` et une alerte est ajoutée à `logs/alerts.log`. Le lendemain, le job tente automatiquement un rattrapage (backfill) des dates manquées.\n\n## Architecture\n\n```\n/opt/api-ka/ # sur le node m3u96b\n├── CLAUDE.md\n├── README.md\n├── .env # jamais commité\n├── .env.example\n├── requirements.txt\n├── src/\n│ ├── config.py # chargement .env + vérification node m3u96b\n│ ├── collectors/\n│ │ ├── base_collector.py # classe abstraite : fetch, validate, save, retry\n│ │ ├── louka_collector.py\n│ │ ├── immoka_collector.py\n│ │ ├── foodka_collector.py\n│ │ ├── autoka_collector.py\n│ │ ├── fabrika_collector.py\n│ │ ├── restoka_collector.py\n│ │ ├── sortika_collector.py\n│ │ └── creaka_collector.py\n│ ├── database/","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"793abf78-cae7-40e2-91e0-0bcc917936a5","timestamp":"2026-08-23T04:44:59.424Z","tool_use_result":{"stdout":"# CLAUDE.md — Projet API-KA\n\n## Vision du projet\n\n**API-KA** est la plateforme centrale légendaire de l'écosystème KA. Elle collecte, sauvegarde et centralise **chaque jour** les données de tous les services KA (lou-ka, immo-ka, food-ka, auto-ka, fabri-ka, resto-ka, sorti-ka, crea-ka) dans une base de données unifiée, puis les expose via une API publique accessible sur **www.api-ka.com** (tunnel ngrok).\n\n**Tout le déploiement se fait sur le node `m3u96b`.** Aucun service de production ne tourne ailleurs.\n\n## Auteur — OBLIGATOIRE dans chaque fichier\n\nChaque fichier de code (Python, JS, SQL, shell, config, etc.) DOIT commencer par un en-tête d'auteur. Règle non négociable — aucun fichier sans en-tête.\n\n**Python / Shell / SQL / YAML :**\n```\n# ============================================\n# Projet : API-KA\n# Fichier : \n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : \n# ============================================\n```\n\n**JavaScript / TypeScript :**\n```javascript\n/**\n * ============================================\n * Projet : API-KA\n * Fichier : \n * Node : m3u96b\n * Author : Simon-Pierre Boucher\n * Contact : contact@spboucher.ai\n * Date : \n * ============================================\n */\n```\n\n## Node de déploiement : m3u96b\n\n- **Node cible unique** : `m3u96b`. Tous les services (API, scheduler, base de données, tunnel ngrok) tournent sur ce node.\n- Répertoire de déploiement : `/opt/api-ka/` sur m3u96b.\n- Données et backups : `/opt/api-ka/data/` et `/opt/api-ka/data/backups/`.\n- Logs centralisés : `/opt/api-ka/logs/`.\n- Les services sont gérés par **systemd** sur m3u96b (voir section \"Services systemd\").\n- Toute commande de déploiement, cron ou service doit référencer explicitement m3u96b dans sa documentation et ses logs (`hostname` vérifié au démarrage : si le hostname n'est pas `m3u96b`, le service refuse de démarrer en mode production et log un avertissement).\n\n### Vérification du node au démarrage (obligatoire dans chaque service)\n\n```python\nimport socket, os\n\nREQUIRED_NODE = \"m3u96b\"\n\ndef verify_node():\n hostname = socket.gethostname()\n if os.getenv(\"APP_ENV\") == \"production\" and hostname != REQUIRED_NODE:\n raise RuntimeError(f\"API-KA doit tourner sur {REQUIRED_NODE}, node actuel : {hostname}\")\n```\n\n## Sources de données (les 8 services KA)\n\n| Service | Table | Variable source | Fréquence |\n|-----------|------------------|----------------------|-------------|\n| lou-ka | `louka_data` | `LOUKA_SOURCE_URL` | Quotidienne |\n| immo-ka | `immoka_data` | `IMMOKA_SOURCE_URL` | Quotidienne |\n| food-ka | `foodka_data` | `FOODKA_SOURCE_URL` | Quotidienne |\n| auto-ka | `autoka_data` | `AUTOKA_SOURCE_URL` | Quotidienne |\n| fabri-ka | `fabrika_data` | `FABRIKA_SOURCE_URL` | Quotidienne |\n| resto-ka | `restoka_data` | `RESTOKA_SOURCE_URL` | Quotidienne |\n| sorti-ka | `sortika_data` | `SORTIKA_SOURCE_URL` | Quotidienne |\n| crea-ka | `creaka_data` | `CREAKA_SOURCE_URL` | Quotidienne |\n\n**RÈGLE CRITIQUE : les données de chaque service DOIVENT être sauvegardées tous les jours, sans exception.**\n- Chaque exécution quotidienne est journalisée.\n- Tout échec de collecte est détecté, loggé et relancé automatiquement (3 tentatives, backoff exponentiel : 30s → 2min → 10min).\n- Si un service échoue après 3 tentatives, une entrée `status=failed` est écrite dans `collection_runs` et une alerte est ajoutée à `logs/alerts.log`. Le lendemain, le job tente automatiquement un rattrapage (backfill) des dates manquées.\n\n## Architecture\n\n```\n/opt/api-ka/ # sur le node m3u96b\n├── CLAUDE.md\n├── README.md\n├── .env # jamais commité\n├── .env.example\n├── requirements.txt\n├── src/\n│ ├── config.py # chargement .env + vérification node m3u96b\n│ ├── collectors/\n│ │ ├── base_collector.py # classe abstraite : fetch, validate, save, retry\n│ │ ├── louka_collector.py\n│ │ ├── immoka_collector.py\n│ │ ├── foodka_collector.py\n│ │ ├── autoka_collector.py\n│ │ ├── fabrika_collector.py\n│ │ ├── restoka_collector.py\n│ │ ├── sortika_collector.py\n│ │ └── creaka_collector.py\n│ ├── database/","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0503185a-4aee-46d2-a0a0-561d57d81abb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XAS9vMVQ2DSz4y2Ugx5Hfq","type":"tool_result","content":"{\n \"success\": true,\n \"data\": {\n \"updated\": \"2026-08-23T00:45:47-04:00\",\n \"period\": {\n \"from\": \"2026-08-17\",\n \"to\": \"2026-08-23\",\n \"label\": \"7 jours\"\n },\n \"kpis\": [\n {\n \"id\": \"calls\",\n \"label\": \"Appels API\",\n \"value\": 7594,\n \"unit\": \"\",\n \"delta_pct\": 2754.9,\n \"direction\": \"up\",\n \"spark\": [\n {\n \"t\": \"2026-08-17\",\n \"v\": 874\n },\n {\n \"t\": \"2026-08-18\",\n \"v\": 1365\n },\n {\n \"t\": \"2026-08-19\",\n \"v\": 1384\n },\n {\n \"t\": \"2026-08-20\",\n \"v\": 1076\n },\n {\n \"t\": \"2026-08-21\",\n \"v\": 1175\n },\n {\n \"t\": \"2026-08-22\",\n \"v\": 1656\n },\n {\n \"t\": \"2026-08-23\",\n \"v\": 64\n }\n ]\n },\n {\n \"id\": \"calls_day\",\n \"label\": \"Appels par jour (moyenne)\",\n \"value\": 1084.9,\n \"unit\": \"\",\n \"delta_pct\": 2754.9,\n \"direction\": \"up\"\n },\n {\n \"id\": \"latency\",\n \"label\": \"Latence moyenne\",\n \"value\": 303.99,\n \"unit\": \"ms\",\n \"delta_pct\": 1049.3,\n \"direction\": \"down\",\n \"invert\": true,\n \"spark\": [\n {\n \"t\": \"2026-08-17\",\n \"v\": 114.5\n },\n {\n \"t\": \"2026-08-18\",\n \"v\": 379.4\n },\n {\n \"t\": \"2026-08-19\",\n \"v\": 331.7\n },\n {\n \"t\": \"2026-08-20\",\n \"v\": 78.9","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fb398870-f8f0-4b69-aea8-727e7581f0fb","timestamp":"2026-08-23T04:45:47.337Z","tool_use_result":{"stdout":"{\n \"success\": true,\n \"data\": {\n \"updated\": \"2026-08-23T00:45:47-04:00\",\n \"period\": {\n \"from\": \"2026-08-17\",\n \"to\": \"2026-08-23\",\n \"label\": \"7 jours\"\n },\n \"kpis\": [\n {\n \"id\": \"calls\",\n \"label\": \"Appels API\",\n \"value\": 7594,\n \"unit\": \"\",\n \"delta_pct\": 2754.9,\n \"direction\": \"up\",\n \"spark\": [\n {\n \"t\": 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dashboard"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":839,"cache_read_input_tokens":47934,"cache_creation":{"ephemeral_5m_input_tokens":839,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f7f349ab-186e-4c85-9fb3-d75d785b31d2","request_id":"req_011CeK58RkewX2enBcF29WL8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019zTCnvZ3ViMu7fS23KhdWn","type":"tool_result","content":"{\n \"id\": \"errors\",\n \"label\": \"Taux d'erreur (HTTP \\u2265 400)\",\n \"value\": 36.98,\n \"unit\": \"%\",\n \"delta_pct\": 118.6,\n \"direction\": \"down\",\n \"invert\": true,\n \"spark\": [\n {\n \"t\": \"2026-08-17\",\n \"v\": 14.4\n },\n {\n \"t\": \"2026-08-18\",\n 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table | apika_user\n public | immoka_data | table | apika_user\n public | jobka_data | table | apika_user\n public | louka_data | table | apika_user\n public | restoka_data | table | apika_user\n public | sortika_data | table | apika_user\n(12 lignes)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e13af8ef-e01c-4a6b-847e-d134ce8ce54b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"1285c5f3-4af9-4581-a3eb-12edf1bd2dac","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":114,"estimated_tokens_delta":64,"uuid":"7d9d9386-88d9-413c-a30e-e2650cf5e070","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK58wpuoKXRHuUEPujJq","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":1046,"cache_read_input_tokens":48773,"cache_creation":{"ephemeral_5m_input_tokens":1046,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"cb615685-2b78-4d7b-bb4e-214158d97232","request_id":"req_011CeK58vV3W4hEwWCbE39dE"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK58wpuoKXRHuUEPujJq","type":"message","role":"assistant","content":[{"type":"text","text":"Le taux d'erreur vient de la table `api_requests` (HTTP ≥ 400 sur les appels entrants) et il grimpe : 61 % le 22 août. Je décompose par endpoint et code de statut."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1046,"cache_read_input_tokens":48773,"cache_creation":{"ephemeral_5m_input_tokens":1046,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"799ae250-9d2f-4fb5-a984-9587aff33fcd","request_id":"req_011CeK58vV3W4hEwWCbE39dE"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK58wpuoKXRHuUEPujJq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016EZgb9yudEwQ3ZnXFmS3xN","name":"Bash","input":{"command":"ssh M3U96b 'psql \"postgresql://apika_user:5dfb215940e4be80b5b786b894e0d46003ad6b2e8019b011@localhost:5432/apika\" -c \"\nSELECT status_code, count(*) n FROM api_requests WHERE created_at >= now() - interval '\\''7 days'\\'' GROUP BY 1 ORDER BY n DESC;\n\" -c \"\nSELECT path, status_code, count(*) n FROM api_requests WHERE created_at >= now() - interval '\\''7 days'\\'' AND status_code >= 400 GROUP BY 1,2 ORDER BY n DESC LIMIT 25;\n\"'","description":"Break down api-ka errors by status and path"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1046,"cache_read_input_tokens":48773,"cache_creation":{"ephemeral_5m_input_tokens":1046,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f1ecb647-3305-495e-85a8-000eabfff9cc","request_id":"req_011CeK58vV3W4hEwWCbE39dE"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nERROR: column \"status_code\" does not exist\nLIGNE 2 : SELECT status_code, count(*) n FROM api_requests WHERE creat...\n ^\nERROR: column \"path\" does not exist\nLIGNE 2 : SELECT path, status_code, count(*) n FROM api_requests WHERE...\n ^","is_error":true,"tool_use_id":"toolu_016EZgb9yudEwQ3ZnXFmS3xN"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"939fbdac-1cd5-4b3f-b9aa-5a470d21e286","timestamp":"2026-08-23T04:46:00.300Z","tool_use_result":"Error: Exit code 1\nERROR: column \"status_code\" does not exist\nLIGNE 2 : SELECT status_code, count(*) n FROM api_requests WHERE creat...\n ^\nERROR: column \"path\" does not exist\nLIGNE 2 : SELECT path, status_code, count(*) n FROM api_requests WHERE...\n ^"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"99b21bf7-e642-47eb-9c6a-584c7c4f039c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK59QaEzEiCYPGud7726","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EEWwCu2mWg8bRL1QynKrMC","name":"Bash","input":{"command":"ssh M3U96b 'psql \"postgresql://apika_user:5dfb215940e4be80b5b786b894e0d46003ad6b2e8019b011@localhost:5432/apika\" -c \"\\d api_requests\"'","description":"Show api_requests schema"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":596,"cache_read_input_tokens":49819,"cache_creation":{"ephemeral_5m_input_tokens":596,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"dc6742c4-7ba1-4ba6-bedf-8e6435ba2bfe","request_id":"req_011CeK59P5Crt6TQq8wEzwVo"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EEWwCu2mWg8bRL1QynKrMC","type":"tool_result","content":" Table « public.api_requests »\n Colonne | Type | Collationnement | NULL-able | Par défaut \n-------------+--------------------------+-----------------+-----------+------------------------------------------\n id | bigint | | not null | nextval('api_requests_id_seq'::regclass)\n ts | timestamp with time zone | | not null | \n method | text | | not null | \n endpoint | text | | not null | \n status | integer | | not null | \n duration_ms | double precision | | not null | \nIndex :\n \"api_requests_pkey\" PRIMARY KEY, btree (id)\n \"ix_api_requests_endpoint_ts\" btree (endpoint, ts)\n \"ix_api_requests_ts\" btree (ts)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"229a9770-1043-4a7a-9268-26585c1eab4f","timestamp":"2026-08-23T04:46:03.705Z","tool_use_result":{"stdout":" Table « public.api_requests »\n Colonne | Type | Collationnement | NULL-able | Par défaut \n-------------+--------------------------+-----------------+-----------+------------------------------------------\n id | bigint | | not null | nextval('api_requests_id_seq'::regclass)\n ts | timestamp with time zone | | not null | \n method | text | | not null | \n endpoint | text | | not null | \n status | integer | | not null | \n duration_ms | double precision | | not null | \nIndex :\n \"api_requests_pkey\" PRIMARY KEY, btree (id)\n \"ix_api_requests_endpoint_ts\" btree (endpoint, ts)\n \"ix_api_requests_ts\" btree (ts)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"cfc1f2ec-6a92-4b90-89bf-f0a1fceffeb3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK59gpJGhuSKNKo56aNC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JwQCtu47kW4WvUYLjKjwiE","name":"Bash","input":{"command":"ssh M3U96b 'psql \"postgresql://apika_user:5dfb215940e4be80b5b786b894e0d46003ad6b2e8019b011@localhost:5432/apika\" -c \"\nSELECT status, count(*) n FROM api_requests WHERE ts >= now() - interval '\\''7 days'\\'' GROUP BY 1 ORDER BY n DESC;\n\" -c \"\nSELECT endpoint, status, count(*) n FROM api_requests WHERE ts >= now() - interval '\\''7 days'\\'' AND status >= 400 GROUP BY 1,2 ORDER BY n DESC LIMIT 30;\n\"'","description":"Break down api-ka errors by status and endpoint"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":444,"cache_read_input_tokens":50415,"cache_creation":{"ephemeral_5m_input_tokens":444,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"30a63312-9786-47d7-bd9d-3e485fa402be","request_id":"req_011CeK59dmVeQTwZ3sECJxo4"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JwQCtu47kW4WvUYLjKjwiE","type":"tool_result","content":" status | n \n--------+------\n 200 | 4960\n 404 | 1790\n 405 | 642\n 429 | 298\n 401 | 108\n 304 | 29\n 307 | 19\n 422 | 13\n 400 | 2\n 206 | 1\n(10 lignes)\n\n endpoint | status | n \n---------------------------+--------+------\n (autre) | 404 | 1752\n / | 405 | 633\n (autre) | 429 | 298\n (autre) | 401 | 108\n /api/v1/(autre) | 404 | 23\n (autre) | 405 | 7\n /apple-touch-icon.png | 404 | 6\n /api/v1/louka | 422 | 4\n /api/v1/runs | 404 | 4\n /api/v1/louka/date/{date} | 422 | 4\n /api/v1/runs | 422 | 4\n /ka/* | 404 | 3\n /stats | 405 | 1\n (autre) | 400 | 1\n / | 400 | 1\n /contact | 405 | 1\n /api/stats/report | 404 | 1\n /api/stats/dashboard | 422 | 1\n /api/stats/dashboard | 404 | 1\n(19 lignes)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"38d7137b-fd96-4e12-931c-2e32ceb56297","timestamp":"2026-08-23T04:46:08.488Z","tool_use_result":{"stdout":" status | n \n--------+------\n 200 | 4960\n 404 | 1790\n 405 | 642\n 429 | 298\n 401 | 108\n 304 | 29\n 307 | 19\n 422 | 13\n 400 | 2\n 206 | 1\n(10 lignes)\n\n endpoint | status | n \n---------------------------+--------+------\n (autre) | 404 | 1752\n / | 405 | 633\n (autre) | 429 | 298\n (autre) | 401 | 108\n /api/v1/(autre) | 404 | 23\n (autre) | 405 | 7\n /apple-touch-icon.png | 404 | 6\n /api/v1/louka | 422 | 4\n /api/v1/runs | 404 | 4\n /api/v1/louka/date/{date} | 422 | 4\n /api/v1/runs | 422 | 4\n /ka/* | 404 | 3\n /stats | 405 | 1\n (autre) | 400 | 1\n / | 400 | 1\n /contact | 405 | 1\n /api/stats/report | 404 | 1\n /api/stats/dashboard | 422 | 1\n /api/stats/dashboard | 404 | 1\n(19 lignes)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1de71683-9766-4ccd-9c24-1f38cceb7d5c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"a4ef153d-91bb-4913-b265-15df796fed78","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"46e53243-2871-40ac-8680-8ae4aa82bd29","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"5d9f6ae6-54c4-43d6-bc2d-dd82792c1c25","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"a36eadae-a144-4bac-8b93-ef0a46cf2b1b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"fda6f1c1-c7aa-406d-a821-90aa91029910","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5A1afUGRimnzXPhvJ2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WtVEvEZLxb5vncyTgPpHWM","name":"Bash","input":{"command":"ssh M3U96b 'grep -E \" 404 | 405 \" /opt/api-ka/logs/apika.log.2026-08-22 2>/dev/null | tail -5; echo ===; grep -oE \"\\\"(GET|POST|HEAD|PUT) [^\\\"]+\\\"\" /opt/api-ka/logs/apika.log.2026-08-22 2>/dev/null | sort | uniq -c | sort -rn | head -25'","description":"Sample 404/405 request paths from api-ka 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5Bc3cVwmjemXVkraaT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012tji9ubfZ7YaBjoSNtvmry","name":"Bash","input":{"command":"grep -rn \"api-ka.com\\|api_ka\\|apika\" ~/apps/admin-ka/server/server.js 2>/dev/null | grep -i \"stats\\|health\\|head\\|fetch\\|url\" | head -10; echo \"---groupe-ka---\"; ssh M3U96b 'grep -rn \"/api/stats\\b\\|api-ka.com\" ~/apps/groupe-ka/scripts/*.mjs ~/apps/groupe-ka/backend 2>/dev/null | grep -v dashboard | head -10'","description":"Find who polls api-ka 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012tji9ubfZ7YaBjoSNtvmry","type":"tool_result","content":"---groupe-ka---","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"55d300a2-6971-4cd9-b1c4-7767379f5618","timestamp":"2026-08-23T04:46:51.178Z","tool_use_result":{"stdout":"---groupe-ka---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5Bc3cVwmjemXVkraaT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JRrdfhKNtkme7fxgsdo7Mx","name":"Bash","input":{"command":"ssh M3U96b 'grep \"\\\"status_code\\\": 429\\|\\\"status_code\\\": 401\" /opt/api-ka/logs/apika.log.2026-08-22 | python3 -c \"\nimport json,sys\nfrom collections import Counter\nc=Counter(); p=Counter()\nfor l in sys.stdin:\n d=json.loads(l)\n c[(d[\\\"client_ip\\\"],d[\\\"status_code\\\"])]+=1\n p[(d[\\\"path\\\"],d[\\\"status_code\\\"])]+=1\nprint(\\\"IPs:\\\",c.most_common(8)); print(\\\"paths:\\\",p.most_common(8))\n\"'","description":"Analyze 429/401 sources in api-ka log"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3935,"cache_read_input_tokens":52841,"cache_creation":{"ephemeral_5m_input_tokens":3935,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3b1853f3-952f-4b73-b18c-c5c7324c5e37","request_id":"req_011CeK5Baf2GzpHRcT38FesX"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JRrdfhKNtkme7fxgsdo7Mx","type":"tool_result","content":"IPs: [(('44.198.61.116', 429), 156), (('16.146.95.197', 429), 142), (('2605:b100:52d:ee83:89e4:bcb3:f8f7:93fd', 401), 3), (('2001:bc8:1201:a0d:3eec:efff:feff:4fa', 401), 2), (('17.246.15.249', 401), 1), (('34.58.129.84', 401), 1), (('2605:b100:52d:1c45:d076:a0c:dbf6:c58b', 401), 1), (('204.101.161.15', 401), 1)]\npaths: [(('/api/auth/me', 401), 12), (('/saas/.env', 429), 2), (('/client/.env', 429), 2), (('/project/.env', 429), 2), (('/admin-panel/.env', 429), 2), (('/control-panel/.env', 429), 2), (('/user-panel/.env', 429), 2), (('/node/.env', 429), 2)]","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0ba530fb-787f-4379-9d33-80983cf68bcd","timestamp":"2026-08-23T04:46:53.736Z","tool_use_result":{"stdout":"IPs: [(('44.198.61.116', 429), 156), (('16.146.95.197', 429), 142), (('2605:b100:52d:ee83:89e4:bcb3:f8f7:93fd', 401), 3), (('2001:bc8:1201:a0d:3eec:efff:feff:4fa', 401), 2), (('17.246.15.249', 401), 1), (('34.58.129.84', 401), 1), (('2605:b100:52d:1c45:d076:a0c:dbf6:c58b', 401), 1), (('204.101.161.15', 401), 1)]\npaths: [(('/api/auth/me', 401), 12), (('/saas/.env', 429), 2), (('/client/.env', 429), 2), (('/project/.env', 429), 2), (('/admin-panel/.env', 429), 2), (('/control-panel/.env', 429), 2), (('/user-panel/.env', 429), 2), (('/node/.env', 429), 2)]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a827b5d9-9643-4086-bcde-ce3c02d76289","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"bdcf5440-b474-438b-a129-49195439b3a3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"58bbbee6-aa1d-44df-b15a-1aa7e3a157db","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"5c99d803-7225-4922-a9ab-4b9b4962417e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"6c30ddc5-41e4-440d-bd13-381ad637128e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":100,"uuid":"503bb6dc-b7b8-45e4-b0b1-6b2dbcad3482","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"0c97deca-5864-4962-b07f-371e98ef4037","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":50,"uuid":"48a6dbc6-3a5c-422a-80b1-5a4c94465cbf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5DLuqgZCw2ViCyx3BG","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":2098,"cache_read_input_tokens":56776,"cache_creation":{"ephemeral_5m_input_tokens":2098,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"aff4f78f-a1b0-44e9-a1e0-dc503ea103b6","request_id":"req_011CeK5DKaDx1Anhs7hhGTiF"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5DLuqgZCw2ViCyx3BG","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":2098,"cache_read_input_tokens":56776,"cache_creation":{"ephemeral_5m_input_tokens":2098,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9cb387e8-2efa-450c-95c9-cba06f84d35c","request_id":"req_011CeK5DKaDx1Anhs7hhGTiF"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5DLuqgZCw2ViCyx3BG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y1hDxC4NK9t861vYC97fFh","name":"Bash","input":{"command":"for n in \"\" M3U96b M4M64a M4M64b M2M32; do\n if [ -z \"$n\" ]; then\n echo \"== LOCAL M3U96a ==\"; grep -rln \"api-ka.com\" ~/apps/*/backend ~/apps/*/scripts ~/apps/*/server* ~/apps/admin-ka 2>/dev/null | grep -v node_modules | head -10\n else\n echo \"== $n ==\"; ssh $n 'grep -rln \"api-ka.com\" ~/apps/*/backend ~/apps/*/scripts ~/*-ka/backend ~/*-ka/scripts /opt/api-ka/scripts 2>/dev/null | grep -v node_modules | head -10' &\n fi\ndone; wait","description":"Find api-ka.com references across all KA nodes"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2098,"cache_read_input_tokens":56776,"cache_creation":{"ephemeral_5m_input_tokens":2098,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"84eef2a0-8def-4275-95b7-b718c53ce71a","request_id":"req_011CeK5DKaDx1Anhs7hhGTiF"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y1hDxC4NK9t861vYC97fFh","type":"tool_result","content":"== LOCAL M3U96a ==\n(eval):3: no matches found: /Users/simon-pierreboucher/apps/*/backend\n== M3U96b ==\n== M4M64a ==\n== M4M64b ==\n== M2M32 ==\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"32a3e26b-5c95-447d-9386-0a3786f98d62","timestamp":"2026-08-23T04:47:08.767Z","tool_use_result":{"stdout":"== LOCAL M3U96a ==\n(eval):3: no matches found: /Users/simon-pierreboucher/apps/*/backend\n== M3U96b ==\n== M4M64a ==\n== M4M64b ==\n== M2M32 ==\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend\nzsh:1: no matches found: /Users/simon-pierreboucher/apps/*/backend","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"11732964-4ca6-4684-9135-001d51ec30a9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"60bfe66b-3c6c-4cb6-888c-6085e4685843","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":114,"estimated_tokens_delta":64,"uuid":"abbfcaae-f24d-499c-8b31-21f23dc0784e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5ETs56hkTpcy5RrT9g","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":1218,"cache_read_input_tokens":58874,"cache_creation":{"ephemeral_5m_input_tokens":1218,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"dd9d3e00-926d-419a-a921-06cd7470c5fc","request_id":"req_011CeK5ERmovg9y7SVyg9Hmh"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5ETs56hkTpcy5RrT9g","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LwatosCn7rGagKh6d2PWDj","name":"Bash","input":{"command":"echo \"== LOCAL M3U96a ==\"; grep -rln \"api-ka\\.com\" ~/apps 2>/dev/null | grep -v node_modules | grep -v \"\\.git/\" | head -15\nfor n in M3U96b M4M64a M4M64b M2M32; do\n echo \"== $n ==\"\n ssh $n 'grep -rln \"api-ka\\.com\" ~/apps ~/fabri-ka ~/auto-ka ~/trouve-ka /opt/api-ka 2>/dev/null | grep -v node_modules | grep -v \"\\.git/\" | grep -v venv | head -15'\ndone","description":"Find api-ka.com references across all KA nodes","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1218,"cache_read_input_tokens":58874,"cache_creation":{"ephemeral_5m_input_tokens":1218,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"086bb96b-eacb-43d3-8136-2214118cd995","request_id":"req_011CeK5ERmovg9y7SVyg9Hmh"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"ba57jkvoq","tool_use_id":"toolu_01LwatosCn7rGagKh6d2PWDj","description":"Find api-ka.com references across all KA nodes","task_type":"local_bash","uuid":"50e2c46f-c99a-4f9a-8e28-6744033a98d8","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"ba57jkvoq","tool_use_id":"toolu_01LwatosCn7rGagKh6d2PWDj","status":"failed","output_file":"","summary":"Find api-ka.com references across all KA nodes","uuid":"0785aab0-1af7-4344-99a0-8f08990aec26","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 143\nCommand timed out after 2m 0s\n== LOCAL M3U96a ==\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/4f625bd566ebecf4.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/e2f1996e1c4b4701.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/44e9fdf79118ea8d.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/audit.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/4431c1e088bbeaf0.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/2459e0916b4ed904.jsonl\n/Users/simon-pierreboucher/apps/job-ka/frontend/src/ka/ecosystem.json\n/Users/simon-pierreboucher/apps/job-ka/frontend/public/ka-agent.js\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/ecosystem.json\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/index.html\n/Users/simon-pierreboucher/apps/vrai-prix/public/ka-agent.js\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/ka-agent.js\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/ecosystem.json\n== M3U96b 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==\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/4f625bd566ebecf4.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/e2f1996e1c4b4701.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/44e9fdf79118ea8d.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/audit.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/4431c1e088bbeaf0.jsonl\n/Users/simon-pierreboucher/apps/admin-ka/data/transcripts/2459e0916b4ed904.jsonl\n/Users/simon-pierreboucher/apps/job-ka/frontend/src/ka/ecosystem.json\n/Users/simon-pierreboucher/apps/job-ka/frontend/public/ka-agent.js\n/Users/simon-pierreboucher/apps/vrai-prix/src/ka/ecosystem.json\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/index.html\n/Users/simon-pierreboucher/apps/vrai-prix/public/ka-agent.js\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/ka-agent.js\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/ecosystem.json\n== M3U96b =="}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5PhwfBqBXN4b3tHsCu","type":"message","role":"assistant","content":[{"type":"text","text":"La recherche globale est trop lourde. Je cible : crontabs et process de monitoring sur chaque nœud."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":955,"cache_read_input_tokens":60092,"cache_creation":{"ephemeral_5m_input_tokens":955,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1db087de-bbea-410f-bfe2-9ce62ba9b839","request_id":"req_011CeK5Pg1pEyXHAYs3MGS9d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5PhwfBqBXN4b3tHsCu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hynr4AJ38cr6EGPaadqWAf","name":"Bash","input":{"command":"echo \"== M3U96a crontab ==\"; crontab -l 2>/dev/null | grep -i \"api-ka\\|stats\\|health\\|curl\" | head; echo \"== launchd ==\"; ls ~/Library/LaunchAgents/ | 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output)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"718e7690-836d-465f-96e8-cdec101c0615","timestamp":"2026-08-23T04:49:28.737Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0b859599-4515-48eb-a250-9507f320beb4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"86e01e7d-8157-4a7f-b1d6-df1c9dbc6033","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"87bf149c-b693-4e6b-a09b-64303623d4cb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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Données : /api/stats/dashboard\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx:52: const r = await fetch(\"/api/stats/dashboard?period=tout\", { cache: \"no-store\" });","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a3b313ec-7892-416c-940e-74014ea68914","timestamp":"2026-08-23T04:49:55.570Z","tool_use_result":{"stdout":"---api/stats---\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/index.html:840: ST.data = await (await fetch(`/api/stats/dashboard?${stParams()}`)).json();\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/index.html:1334: a.href = `/api/stats/report?${stParams(mode)}`;\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/index.html:1422: const s = await (await fetch(\"/api/stats\")).json();\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/stats/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/stats/kacharts.tsx:342:export function PdfButton({ period, from, to, endpoint = \"/api/stats/report\" }: { period: string; from?: string; to?: string; endpoint?: string }) {\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/stats/SPEC.md:57:`GET /api/stats/dashboard?period=7j|30j|3m|6m|12m|annee|tout|auj&from=YYYY-MM-DD&to=YYYY-MM-DD`\n/Users/simon-pierreboucher/apps/sorti-ka/frontend/src/ka/stats/SPEC.md:99:`GET /api/stats/report?period=…&from=&to=&mode=complet|synthese|tendances|repartitions|donnees`\n/Users/simon-pierreboucher/apps/job-ka/frontend/src/ka/stats/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx:7: * fraîcheur + PdfButton (5 rapports). Données : /api/stats/dashboard\n/Users/simon-pierreboucher/apps/vrai-prix/src/components/StatsDashboard.tsx:52: const r = await fetch(\"/api/stats/dashboard?period=tout\", { cache: \"no-store\" });","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2d476e83-5f58-4b48-b0c2-63899fdb5e5e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"583ff479-26e8-4591-9ba7-92c132a62063","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":150,"uuid":"a2c5cbcf-0f34-47b0-9efa-5a1a74905aca","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":50,"uuid":"adfab9b3-d6fe-4c33-8ac6-3e80ccc8ceee","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"3446ee3f-dece-417f-a761-48744080259b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5SkJd8t2q4HMKfjg19","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":307,"cache_creation_input_tokens":1508,"cache_read_input_tokens":63433,"cache_creation":{"ephemeral_5m_input_tokens":1508,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6d6a302f-1ba2-4f18-85e5-6577d9841397","request_id":"req_011CeK5SiunL2AmHchQ9KQGC"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5SkJd8t2q4HMKfjg19","type":"message","role":"assistant","content":[{"type":"text","text":"La piste se précise : le pattern KA standard expose `/api/stats` sur chaque app, mais api-ka ne l'a peut-être pas. Je vérifie le frontend web d'api-ka lui-même."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":1508,"cache_read_input_tokens":63433,"cache_creation":{"ephemeral_5m_input_tokens":1508,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7e6ec33f-c5a1-401a-b695-8bbffe927553","request_id":"req_011CeK5SiunL2AmHchQ9KQGC"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5SkJd8t2q4HMKfjg19","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JMe19D3HaPiD3T5komX8Pb","name":"Bash","input":{"command":"ssh M3U96b 'ls /opt/api-ka/src/api/web/; grep -rn \"api/stats\\|HEAD\" /opt/api-ka/src/api/web/ 2>/dev/null | grep -v \"\\.map\" | grep -oE 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/api/stats/dashboard — rien d'inventé.\n/opt/api-ka/src/api/web/stats.html:308: return \"/api/stats/report?\" + p;\n/opt/api-ka/src/api/web/stats.html:830: const r = await fetch(\"/api/stats/dashboard?\" + p, {headers:{Accept:\"application/json\"}});\n/opt/api-ka/src/api/web/ka/stats/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\nats/kacharts.tsx:680:export function PdfButton({ period, from, to, endpoint = \"/api/stats/report\" }: { period: string; from?: string; to?: string; en\n/opt/api-ka/src/api/web/ka/stats/SPEC.md:57:`GET /api/stats/dashboard?period=7j|30j|3m|6m|12m|annee|tout|auj&from=YYYY-\n/opt/api-ka/src/api/web/ka/stats/SPEC.md:99:`GET 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5TTUNFqwJCu6m6WnsN","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISiAYKpwEIERgCKkBoCLvPJW8sN3sZXZIx6VdSTsjuJp+k0x2h9bX4W1/aA3R8lL1LlfoM41BCS2gOKrtfuPt5/G1QxVdzWCvB52YCMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGC+KnUBrABAhIMc7AZTWwD0dkvbwRYGgxMdaVPTF2YGq5jBtgiMMJBWGigi8NMu7FLMqABFMY2zxcjVfCmudrpjNaD6B65ajuzzRJBCA4f+cDjihfeSCqNBIAt3SLdqNV1F3+lZdpZ5sNnQJdvg2zEkgGfoznyCoQnaKtYqh7rmSdbLulVOSHDM9NaIBNy8d6J9sHrVtcMkQHEMl+Gn9qVvt5Fg5HfDO8I75mHxe+rqZfgYKnWKyek6xsIK0HBYSCag6TczXlUfWy+4EhoQsWIxXbXvfbV8EYS/pvpfDXAhnt3UVgcZ6bN/YyJyENPyJr9UyzZVvY2B0O5WbjM0CcaDsnMcQuT7/TeURLQCEyEcfbcOeKPcFwGHadRIN4YxCCTy6Lg97VXAZS0YPqZY7A70Q3pk2HZ/GgmhfSKFwPHPcu1TltmezxPDEhNHjChklJQXeFoNIeZIsxY2BXdCwwrgpum9SbvDoPXNt8ZoBOwwaz+nEXKEtstfrEV55OTlHNrLfLcmkonrqDnU+fpxKSu0riNSCaOLedxhM0KwZdE7mitCvMnu2mV1YFLrkBngOZYfbpYJUa2HIsBFHxavMtWFgM8+IBJ4OsIVUVLOssAHTeJRMd50YLlUGcy6X5iXSpTaLOaMiBiiyqmCFFxJEHn8E9m70e85WGBkJg1I7qFVpaeFZb+YbQAfI6uhRgOjEvOBiXXzGWEnqwG/1dljjyEpyleJGDWEs2OdROl/4u4C+eUgR9tJMjdNk0UXAycHD+q6FyHczQ7ussE9RaHp30ofuqxF0LKSTIlcUnhVW1EYJ6OjivknBgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1386,"cache_read_input_tokens":64941,"cache_creation":{"ephemeral_5m_input_tokens":1386,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a2e20c53-7e27-4521-a5c6-8c978690b87a","request_id":"req_011CeK5TRyLEBr56vX54m4bE"}} 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AsyncIterator[None]:\n77:app.add_middleware(\n87:app.add_middleware(RateLimitMiddleware)\n88:app.add_middleware(RequestLoggingMiddleware)\n91:app.include_router(health.router)\n92:app.include_router(auth.router)\n93:app.include_router(runs.router)\n94:app.include_router(monitoring.router)\n95:app.include_router(stats.router)\n96:app.include_router(services.router)\n97:app.include_router(agent.router)\n98:app.include_router(iosauth.router)\n113:@app.get(\"/\", tags=[\"root\"])\n114:def root(request: Request) -> Any:\n135:@app.get(\"/contact\", tags=[\"root\"])\n136:def contact(request: Request) -> Any:\n155:@app.get(\"/stats\", tags=[\"root\"], include_in_schema=False)\n156:def stats_page() -> FileResponse:\n167:@app.get(\"/favicon.svg\", include_in_schema=False)\n168:def favicon() -> FileResponse:\n172:@app.get(\"/apple-touch-icon.png\", include_in_schema=False)\n173:def apple_touch_icon() -> FileResponse:\n177:@app.get(\"/og.png\", include_in_schema=False)\n178:def og_image() -> FileResponse:\n182:@app.get(\"/ka-agent.js\", include_in_schema=False)\n183:def ka_agent_js() -> FileResponse:\n---reqstats---\n60:def normalize_endpoint(path: str) -> str:\n87:def record(\n88: ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n95: \"status\": int(status),\n102:def _drain() -> list[dict]:\n110:def flush() -> int:\n134:def _maybe_purge() -> None:\n156:async def flusher_task() -> None:\n---routes---\n/opt/api-ka/src/api/middleware:\n__init__.py\n__pycache__\nlogging.py\nratelimit.py\n\n/opt/api-ka/src/api/routes:\n__init__.py\n__pycache__\nagent.py\nauth.py\nhealth.py\niosauth.py\nmonitoring.py\nruns.py\nservices.py\nstats.py","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6d94e28c-cb3d-4102-a14a-82046a741548","timestamp":"2026-08-23T04:51:58.685Z","tool_use_result":{"stdout":"48:async def lifespan(app: FastAPI) -> AsyncIterator[None]:\n77:app.add_middleware(\n87:app.add_middleware(RateLimitMiddleware)\n88:app.add_middleware(RequestLoggingMiddleware)\n91:app.include_router(health.router)\n92:app.include_router(auth.router)\n93:app.include_router(runs.router)\n94:app.include_router(monitoring.router)\n95:app.include_router(stats.router)\n96:app.include_router(services.router)\n97:app.include_router(agent.router)\n98:app.include_router(iosauth.router)\n113:@app.get(\"/\", tags=[\"root\"])\n114:def root(request: Request) -> Any:\n135:@app.get(\"/contact\", tags=[\"root\"])\n136:def contact(request: Request) -> Any:\n155:@app.get(\"/stats\", tags=[\"root\"], include_in_schema=False)\n156:def stats_page() -> FileResponse:\n167:@app.get(\"/favicon.svg\", include_in_schema=False)\n168:def favicon() -> FileResponse:\n172:@app.get(\"/apple-touch-icon.png\", include_in_schema=False)\n173:def apple_touch_icon() -> FileResponse:\n177:@app.get(\"/og.png\", include_in_schema=False)\n178:def og_image() -> FileResponse:\n182:@app.get(\"/ka-agent.js\", include_in_schema=False)\n183:def ka_agent_js() -> FileResponse:\n---reqstats---\n60:def normalize_endpoint(path: str) -> str:\n87:def record(\n88: ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n95: \"status\": int(status),\n102:def _drain() -> list[dict]:\n110:def flush() -> int:\n134:def _maybe_purge() -> None:\n156:async def flusher_task() -> None:\n---routes---\n/opt/api-ka/src/api/middleware:\n__init__.py\n__pycache__\nlogging.py\nratelimit.py\n\n/opt/api-ka/src/api/routes:\n__init__.py\n__pycache__\nagent.py\nauth.py\nhealth.py\niosauth.py\nmonitoring.py\nruns.py\nservices.py\nstats.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e840cde5-2510-4402-ae03-53ceba045a2d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5bpnVikLjdudt7N9nv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DnAW9C8yv1eG5coRqezMuS","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"1,120p\" /opt/api-ka/src/api/reqstats.py'","description":"Read reqstats.py normalization and recording"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1723,"cache_read_input_tokens":67098,"cache_creation":{"ephemeral_5m_input_tokens":1723,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2e9fa86b-db14-4006-9559-c6da4a2fabfe","request_id":"req_011CeK5boHDRCDYMMTPESiyq"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DnAW9C8yv1eG5coRqezMuS","type":"tool_result","content":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/reqstats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-17\n# ============================================\n\"\"\"Journalisation légère des requêtes API vers la table ``api_requests``.\n\nConçu pour ne JAMAIS ralentir le chemin de requête : le middleware appelle\n``record()`` (un simple ``deque.append``, O(1), sans I/O) et une tâche de\nfond (démarrée dans le lifespan de l'app) vide le tampon en lot toutes les\n``FLUSH_INTERVAL`` secondes via un thread, hors boucle d'événements.\n\nRétention : ``RETENTION_DAYS`` jours — une purge s'exécute au plus une fois\npar jour lors d'un flush. Alimente exclusivement la page /stats.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport threading\nfrom collections import deque\n\nfrom src.config import SERVICES\nfrom src.utils.logger import get_logger\n\nFLUSH_INTERVAL = 5.0 # secondes entre deux vidages du tampon\nMAX_BUFFER = 10_000 # garde-fou mémoire : au-delà, les plus anciens sont perdus\nRETENTION_DAYS = 90\n\n_buffer: deque[dict] = deque(maxlen=MAX_BUFFER)\n_lock = threading.Lock()\n_last_purge: datetime.date | None = None\n\n# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n_KNOWN_PATHS = frozenset(\n {\n \"/\",\n \"/health\",\n \"/contact\",\n \"/stats\",\n \"/docs\",\n \"/redoc\",\n \"/openapi.json\",\n \"/favicon.svg\",\n \"/apple-touch-icon.png\",\n \"/og.png\",\n \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n\ndef normalize_endpoint(path: str) -> str:\n \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n\n Les paramètres de route (dates) sont remplacés par des gabarits, les\n assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n bots, 404) sont regroupés sous « (autre) ».\n \"\"\"\n path = path.rstrip(\"/\") or \"/\"\n if path in _KNOWN_PATHS:\n return path\n if path.startswith(\"/ka/\"):\n return \"/ka/*\"\n if path.startswith(\"/api/v1/\"):\n parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n service = parts[3] if len(parts) > 3 else \"\"\n if service in SERVICES:\n if len(parts) == 4:\n return f\"/api/v1/{service}\"\n sub = parts[4]\n if sub == \"date\":\n return f\"/api/v1/{service}/date/{{date}}\"\n if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n return f\"/api/v1/{service}/{sub}\"\n return \"/api/v1/(autre)\"\n return \"(autre)\"\n\n\ndef record(\n ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n) -> None:\n \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n entry = {\n \"ts\": ts,\n \"method\": method,\n \"endpoint\": normalize_endpoint(path),\n \"status\": int(status),\n \"duration_ms\": round(float(duration_ms), 2),\n }\n with _lock:\n _buffer.append(entry)\n\n\ndef _drain() -> list[dict]:\n \"\"\"Vide le tampon et retourne son contenu.\"\"\"\n with _lock:\n entries = list(_buffer)\n _buffer.clear()\n return entries\n\n\ndef flush() -> int:\n \"\"\"Insère en lot le contenu du tampon dans ``api_requests`` (synchrone).\n\n Appelée depuis un thread par la tâche de fond ; purge les lignes plus\n vieilles que ``RETENTION_DAYS`` jours au plus une fois par jour.\n \"\"\"\n global _last_purge\n entries = _drain()\n if not entries:\n _maybe_purge()\n return 0","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9a947240-5006-4aa0-8065-638941e22606","timestamp":"2026-08-23T04:52:02.303Z","tool_use_result":{"stdout":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/reqstats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-17\n# ============================================\n\"\"\"Journalisation légère des requêtes API vers la table ``api_requests``.\n\nConçu pour ne JAMAIS ralentir le chemin de requête : le middleware appelle\n``record()`` (un simple ``deque.append``, O(1), sans I/O) et une tâche de\nfond (démarrée dans le lifespan de l'app) vide le tampon en lot toutes les\n``FLUSH_INTERVAL`` secondes via un thread, hors boucle d'événements.\n\nRétention : ``RETENTION_DAYS`` jours — une purge s'exécute au plus une fois\npar jour lors d'un flush. Alimente exclusivement la page /stats.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport threading\nfrom collections import deque\n\nfrom src.config import SERVICES\nfrom src.utils.logger import get_logger\n\nFLUSH_INTERVAL = 5.0 # secondes entre deux vidages du tampon\nMAX_BUFFER = 10_000 # garde-fou mémoire : au-delà, les plus anciens sont perdus\nRETENTION_DAYS = 90\n\n_buffer: deque[dict] = deque(maxlen=MAX_BUFFER)\n_lock = threading.Lock()\n_last_purge: datetime.date | None = None\n\n# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n_KNOWN_PATHS = frozenset(\n {\n \"/\",\n \"/health\",\n \"/contact\",\n \"/stats\",\n \"/docs\",\n \"/redoc\",\n \"/openapi.json\",\n \"/favicon.svg\",\n \"/apple-touch-icon.png\",\n \"/og.png\",\n \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n\ndef normalize_endpoint(path: str) -> str:\n \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n\n Les paramètres de route (dates) sont remplacés par des gabarits, les\n assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n bots, 404) sont regroupés sous « (autre) ».\n \"\"\"\n path = path.rstrip(\"/\") or \"/\"\n if path in _KNOWN_PATHS:\n return path\n if path.startswith(\"/ka/\"):\n return \"/ka/*\"\n if path.startswith(\"/api/v1/\"):\n parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n service = parts[3] if len(parts) > 3 else \"\"\n if service in SERVICES:\n if len(parts) == 4:\n return f\"/api/v1/{service}\"\n sub = parts[4]\n if sub == \"date\":\n return f\"/api/v1/{service}/date/{{date}}\"\n if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n return f\"/api/v1/{service}/{sub}\"\n return \"/api/v1/(autre)\"\n return \"(autre)\"\n\n\ndef record(\n ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n) -> None:\n \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n entry = {\n \"ts\": ts,\n \"method\": method,\n \"endpoint\": normalize_endpoint(path),\n \"status\": int(status),\n \"duration_ms\": round(float(duration_ms), 2),\n }\n with _lock:\n _buffer.append(entry)\n\n\ndef _drain() -> list[dict]:\n \"\"\"Vide le tampon et retourne son contenu.\"\"\"\n with _lock:\n entries = list(_buffer)\n _buffer.clear()\n return entries\n\n\ndef flush() -> int:\n \"\"\"Insère en lot le contenu du tampon dans ``api_requests`` (synchrone).\n\n Appelée depuis un thread par la tâche de fond ; purge les lignes plus\n vieilles que ``RETENTION_DAYS`` jours au plus une fois par jour.\n \"\"\"\n global _last_purge\n entries = _drain()\n if not entries:\n _maybe_purge()\n return 0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5bpnVikLjdudt7N9nv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QFwLsbhxnLvhELTWtj53tp","name":"Bash","input":{"command":"ssh M3U96b 'grep -n \"errors\\|>= 400\\|400\" /opt/api-ka/src/api/routes/stats.py | head -20; grep -n \"def \" /opt/api-ka/src/api/routes/stats.py | head -20'","description":"See error KPI computation in stats route"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1723,"cache_read_input_tokens":67098,"cache_creation":{"ephemeral_5m_input_tokens":1723,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"061b0b3a-4087-41b5-9901-69c82543f1b7","request_id":"req_011CeK5boHDRCDYMMTPESiyq"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QFwLsbhxnLvhELTWtj53tp","type":"tool_result","content":"319: err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n325: lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n335: errors = sum(1 for r in reqs if r[3] >= 400)\n337: err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n338: success = total_calls - errors\n348: prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n350: prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n419: \"errors\",\n420: \"Taux d'erreur (HTTP ≥ 400)\",\n479: \"label\": \"Taux de succès HTTP (statut < 400)\",\n551: \"id\": \"errors\",\n552: \"title\": f\"Erreurs HTTP (≥ 400) {suffix}\",\n594: s = ep_stats.setdefault(endpoint, {\"calls\": 0, \"durs\": [], \"errors\": 0})\n597: if status >= 400:\n598: s[\"errors\"] += 1\n630: classes = [(\"2xx\", 200, 300), (\"3xx\", 300, 400), (\"4xx\", 400, 500), (\"5xx\", 500, 600)]\n846: s[\"errors\"],\n847: f\"{s['errors'] / s['calls'] * 100:.1f} %\".replace(\".\", \",\"),\n864: sum(1 for r in rs if r[3] >= 400),\n1034: if req_bucket[k] and not any(r[3] >= 400 for r in req_bucket[k])\n128:def _resolve_period(\n168:def _utc_bounds(\n180:def _fetch_requests(\n202:def _fetch_runs(\n217:def _fetch_health(db: Session) -> list[ConnectorHealth]:\n230:def _p95(values: list[float]) -> float:\n238:def _delta(cur: float, prev: float | None) -> float | None:\n244:def _daterange(d_from: datetime.date, d_to: datetime.date) -> list[datetime.date]:\n249:def _fr_int(n: float) -> str:\n253:def _fr_num(n: float) -> str:\n259:def _spark(points: list[dict], max_pts: int = 40) -> list[dict]:\n270:def _hist(values: list[float], bins) -> list[dict]:\n281:def _build_dashboard(db: Session, period: str, d_from, d_to, label) -> dict[str, Any]:\n312: def per_bucket(fn) -> list[dict]:\n372: def kpi(id_, label_, value, unit=\"\", delta=None, invert=False, spark=None):\n1113:def _dashboard_cached(\n1134:def _normalize_mode(mode: str | None) -> str:\n1142:def stats_dashboard(\n1153:def stats_report(\n1176:async def _fetch_satellite_dashboard(","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"488a97b5-b730-47f5-bce9-fa4f426f091d","timestamp":"2026-08-23T04:52:03.065Z","tool_use_result":{"stdout":"319: err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n325: lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n335: errors = sum(1 for r in reqs if r[3] >= 400)\n337: err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n338: success = total_calls - errors\n348: prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n350: prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n419: \"errors\",\n420: \"Taux d'erreur (HTTP ≥ 400)\",\n479: \"label\": \"Taux de succès HTTP (statut < 400)\",\n551: \"id\": \"errors\",\n552: \"title\": f\"Erreurs HTTP (≥ 400) {suffix}\",\n594: s = ep_stats.setdefault(endpoint, {\"calls\": 0, \"durs\": [], \"errors\": 0})\n597: if status >= 400:\n598: s[\"errors\"] += 1\n630: classes = [(\"2xx\", 200, 300), (\"3xx\", 300, 400), (\"4xx\", 400, 500), (\"5xx\", 500, 600)]\n846: s[\"errors\"],\n847: f\"{s['errors'] / s['calls'] * 100:.1f} %\".replace(\".\", \",\"),\n864: sum(1 for r in rs if r[3] >= 400),\n1034: if req_bucket[k] and not any(r[3] >= 400 for r in req_bucket[k])\n128:def _resolve_period(\n168:def _utc_bounds(\n180:def _fetch_requests(\n202:def _fetch_runs(\n217:def _fetch_health(db: Session) -> list[ConnectorHealth]:\n230:def _p95(values: list[float]) -> float:\n238:def _delta(cur: float, prev: float | None) -> float | None:\n244:def _daterange(d_from: datetime.date, d_to: datetime.date) -> list[datetime.date]:\n249:def _fr_int(n: float) -> str:\n253:def _fr_num(n: float) -> str:\n259:def _spark(points: list[dict], max_pts: int = 40) -> list[dict]:\n270:def _hist(values: list[float], bins) -> list[dict]:\n281:def _build_dashboard(db: Session, period: str, d_from, d_to, label) -> dict[str, Any]:\n312: def per_bucket(fn) -> list[dict]:\n372: def kpi(id_, label_, value, unit=\"\", delta=None, invert=False, spark=None):\n1113:def _dashboard_cached(\n1134:def _normalize_mode(mode: str | None) -> str:\n1142:def stats_dashboard(\n1153:def stats_report(\n1176:async def _fetch_satellite_dashboard(","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5af4f980-79d4-4d1d-a4da-0fe5af882454","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"9d797757-8b7e-4676-ba46-f8e98bcdae65","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"38c63c02-1103-4edd-93ca-d984cc9fc24b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"99aee8d5-6da6-4650-8dd4-86fafdbe9fbe","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"4054bf12-319b-416e-a72d-2ba4f7deb27d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"508a4aa8-ea19-436d-897a-50d5b3d6190c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"cb241ffe-675e-4ecf-8438-d86f7bcc40b6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":50,"uuid":"9d95217f-0629-427f-a67f-99d3be99a6cc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":750,"estimated_tokens_delta":200,"uuid":"44d77fb3-a1fd-4a25-bb62-3239abb965a7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":850,"estimated_tokens_delta":100,"uuid":"e51ab547-0c00-4ca7-a616-d88b268c83c7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":100,"uuid":"59b2a643-0608-4c71-ba1c-afc0f3784c82","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":50,"uuid":"789feec1-8f17-4172-9bf4-03396875b47a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":150,"uuid":"2f8fc0d4-b8dc-4b35-a8fe-81e3b3671fb2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5c9RfzQH7QVMVsrkfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015sbDKvBAXpfdcUrgwXY6Bu","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"100,135p\" /opt/api-ka/src/api/main.py; echo \"---stats-fetch---\"; sed -n \"180,230p\" /opt/api-ka/src/api/routes/stats.py; echo \"---kpi-block---\"; sed -n \"300,360p\" /opt/api-ka/src/api/routes/stats.py'","description":"Read main.py root route and stats.py request fetch/KPI code"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2907,"cache_read_input_tokens":68821,"cache_creation":{"ephemeral_5m_input_tokens":2907,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e8590612-3a5d-41d8-854d-c5907951d91f","request_id":"req_011CeK5c7z6zGZKcWsNGsWtC"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015sbDKvBAXpfdcUrgwXY6Bu","type":"tool_result","content":"WEB_DIR = Path(__file__).resolve().parent / \"web\"\nWEB_INDEX = WEB_DIR / \"index.html\"\nWEB_CONTACT = WEB_DIR / \"contact.html\"\nWEB_STATS = WEB_DIR / \"stats.html\"\nKA_DIR = WEB_DIR / \"ka\"\n\n# Package ka-ui vendorisé (tokens.css, ecosystem.json, ka-shell.js) — servi\n# statiquement pour le site de documentation. Voir frontend → src/api/web/ka.\nif KA_DIR.is_dir():\n app.mount(\"/ka\", StaticFiles(directory=KA_DIR), name=\"ka\")\n\n\n@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:\n \"\"\"Statut de la plateforme + version.\n\n Négociation de contenu : les navigateurs (Accept: text/html) reçoivent la\n plateforme web de documentation avec playground ; les clients API reçoivent\n le statut JSON uniforme.\n \"\"\"\n accept = request.headers.get(\"accept\", \"\")\n if \"text/html\" in accept and WEB_INDEX.is_file():\n return FileResponse(WEB_INDEX, media_type=\"text/html\")\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"status\": \"ok\",\n \"version\": VERSION,\n \"services\": list(SERVICES),\n \"docs\": \"/docs\",\n }\n )\n\n\n@app.get(\"/contact\", tags=[\"root\"])\n---stats-fetch---\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()\n out = []\n for ts, method, endpoint, status, duration in rows:\n if ts.tzinfo is None:\n ts = ts.replace(tzinfo=datetime.UTC)\n out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n return out\n\n\ndef _fetch_runs(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[CollectionRun]:\n \"\"\"Runs de collecte de la fenêtre (par date logique ``date_key``).\"\"\"\n return (\n db.execute(\n select(CollectionRun)\n .where(CollectionRun.date_key >= d_from, CollectionRun.date_key <= d_to)\n .order_by(CollectionRun.started_at.desc())\n )\n .scalars()\n .all()\n )\n\n\ndef _fetch_health(db: Session) -> list[ConnectorHealth]:\n \"\"\"État courant des connecteurs supervisés (hors ligne virtuelle _app).\"\"\"\n return (\n db.execute(\n select(ConnectorHealth)\n .where(ConnectorHealth.source != \"_app\")\n .order_by(ConnectorHealth.service, ConnectorHealth.source)\n )\n .scalars()\n .all()\n )\n\n\ndef _p95(values: list[float]) -> float:\n---kpi-block---\n req_bucket = {i: [] for i in bucket_keys}\n for r in reqs:\n req_bucket[r[0].hour].append(r)\n else:\n bucket_keys = days\n bucket_labels = [d.isoformat() for d in days]\n req_bucket = {d: [] for d in days}\n for r in reqs:\n d = r[0].date()\n if d in req_bucket:\n req_bucket[d].append(r)\n\n def per_bucket(fn) -> list[dict]:\n return [\n {\"t\": bucket_labels[i], \"v\": fn(req_bucket[k])}\n for i, k in enumerate(bucket_keys)\n ]\n\n calls_pts = per_bucket(len)\n err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n avg_pts = per_bucket(\n lambda rs: round(sum(r[4] for r in rs) / len(rs), 1) if rs else 0\n )\n p95_pts = per_bucket(lambda rs: round(_p95([r[4] for r in rs]), 1) if rs else 0)\n errate_pts = per_bucket(\n lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n if rs\n else 0\n )\n\n # -------- agrégats requêtes API (période courante)\n total_calls = len(reqs)\n durations = [r[4] for r in reqs]\n avg_ms = round(sum(durations) / total_calls, 2) if total_calls else 0.0\n p95_ms = round(_p95(durations), 2)\n errors = sum(1 for r in reqs if r[3] >= 400)\n err5xx = sum(1 for r in reqs if r[3] >= 500)\n err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n success = total_calls - errors\n fast200 = sum(1 for d in durations if d < 200)\n active_endpoints = len({r[2] for r in reqs})\n active_days = sum(1 for k in bucket_keys if req_bucket[k]) if not hourly else None\n\n # -------- agrégats requêtes API (période précédente, pour les deltas)\n prev_calls = len(prev_reqs)\n prev_durs = [r[4] for r in prev_reqs]\n prev_avg = (sum(prev_durs) / prev_calls) if prev_calls else None\n prev_p95 = _p95(prev_durs) if prev_calls else None\n prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n prev_err5xx = sum(1 for r in prev_reqs if r[3] >= 500)\n prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n prev_endpoints = len({r[2] for r in prev_reqs})\n\n # -------- agrégats runs de collecte\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n failed_runs = [r for r in runs if r.status == \"failed\"]\n records_total = sum(r.records_count for r in ok_runs)\n active_services = len({r.service for r in runs})\n prev_ok = [r for r in prev_runs if r.status in (\"success\", \"retried\")]\n prev_failed = [r for r in prev_runs if r.status == \"failed\"]\n prev_records = sum(r.records_count for r in prev_ok)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4467f6f9-f2eb-4c0e-9fc9-6489fd05e58b","timestamp":"2026-08-23T04:52:28.267Z","tool_use_result":{"stdout":"WEB_DIR = Path(__file__).resolve().parent / \"web\"\nWEB_INDEX = WEB_DIR / \"index.html\"\nWEB_CONTACT = WEB_DIR / \"contact.html\"\nWEB_STATS = WEB_DIR / \"stats.html\"\nKA_DIR = WEB_DIR / \"ka\"\n\n# Package ka-ui vendorisé (tokens.css, ecosystem.json, ka-shell.js) — servi\n# statiquement pour le site de documentation. Voir frontend → src/api/web/ka.\nif KA_DIR.is_dir():\n app.mount(\"/ka\", StaticFiles(directory=KA_DIR), name=\"ka\")\n\n\n@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:\n \"\"\"Statut de la plateforme + version.\n\n Négociation de contenu : les navigateurs (Accept: text/html) reçoivent la\n plateforme web de documentation avec playground ; les clients API reçoivent\n le statut JSON uniforme.\n \"\"\"\n accept = request.headers.get(\"accept\", \"\")\n if \"text/html\" in accept and WEB_INDEX.is_file():\n return FileResponse(WEB_INDEX, media_type=\"text/html\")\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"status\": \"ok\",\n \"version\": VERSION,\n \"services\": list(SERVICES),\n \"docs\": \"/docs\",\n }\n )\n\n\n@app.get(\"/contact\", tags=[\"root\"])\n---stats-fetch---\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()\n out = []\n for ts, method, endpoint, status, duration in rows:\n if ts.tzinfo is None:\n ts = ts.replace(tzinfo=datetime.UTC)\n out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n return out\n\n\ndef _fetch_runs(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[CollectionRun]:\n \"\"\"Runs de collecte de la fenêtre (par date logique ``date_key``).\"\"\"\n return (\n db.execute(\n select(CollectionRun)\n .where(CollectionRun.date_key >= d_from, CollectionRun.date_key <= d_to)\n .order_by(CollectionRun.started_at.desc())\n )\n .scalars()\n .all()\n )\n\n\ndef _fetch_health(db: Session) -> list[ConnectorHealth]:\n \"\"\"État courant des connecteurs supervisés (hors ligne virtuelle _app).\"\"\"\n return (\n db.execute(\n select(ConnectorHealth)\n .where(ConnectorHealth.source != \"_app\")\n .order_by(ConnectorHealth.service, ConnectorHealth.source)\n )\n .scalars()\n .all()\n )\n\n\ndef _p95(values: list[float]) -> float:\n---kpi-block---\n req_bucket = {i: [] for i in bucket_keys}\n for r in reqs:\n req_bucket[r[0].hour].append(r)\n else:\n bucket_keys = days\n bucket_labels = [d.isoformat() for d in days]\n req_bucket = {d: [] for d in days}\n for r in reqs:\n d = r[0].date()\n if d in req_bucket:\n req_bucket[d].append(r)\n\n def per_bucket(fn) -> list[dict]:\n return [\n {\"t\": bucket_labels[i], \"v\": fn(req_bucket[k])}\n for i, k in enumerate(bucket_keys)\n ]\n\n calls_pts = per_bucket(len)\n err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n avg_pts = per_bucket(\n lambda rs: round(sum(r[4] for r in rs) / len(rs), 1) if rs else 0\n )\n p95_pts = per_bucket(lambda rs: round(_p95([r[4] for r in rs]), 1) if rs else 0)\n errate_pts = per_bucket(\n lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n if rs\n else 0\n )\n\n # -------- agrégats requêtes API (période courante)\n total_calls = len(reqs)\n durations = [r[4] for r in reqs]\n avg_ms = round(sum(durations) / total_calls, 2) if total_calls else 0.0\n p95_ms = round(_p95(durations), 2)\n errors = sum(1 for r in reqs if r[3] >= 400)\n err5xx = sum(1 for r in reqs if r[3] >= 500)\n err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n success = total_calls - errors\n fast200 = sum(1 for d in durations if d < 200)\n active_endpoints = len({r[2] for r in reqs})\n active_days = sum(1 for k in bucket_keys if req_bucket[k]) if not hourly else None\n\n # -------- agrégats requêtes API (période précédente, pour les deltas)\n prev_calls = len(prev_reqs)\n prev_durs = [r[4] for r in prev_reqs]\n prev_avg = (sum(prev_durs) / prev_calls) if prev_calls else None\n prev_p95 = _p95(prev_durs) if prev_calls else None\n prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n prev_err5xx = sum(1 for r in prev_reqs if r[3] >= 500)\n prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n prev_endpoints = len({r[2] for r in prev_reqs})\n\n # -------- agrégats runs de collecte\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n failed_runs = [r for r in runs if r.status == \"failed\"]\n records_total = sum(r.records_count for r in ok_runs)\n active_services = len({r.service for r in runs})\n prev_ok = [r for r in prev_runs if r.status in (\"success\", \"retried\")]\n prev_failed = [r for r in prev_runs if r.status == \"failed\"]\n prev_records = sum(r.records_count for r in prev_ok)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5c9RfzQH7QVMVsrkfW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Cm7mews9a5Zz3bFF46aSBA","name":"Bash","input":{"command":"ssh M3U96b 'cat /opt/api-ka/src/monitoring/connector_health.py | head -120; echo \"---health-route---\"; grep -n \"connector\" /opt/api-ka/src/api/routes/health.py | head -10'","description":"Read connector health monitoring module"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2907,"cache_read_input_tokens":68821,"cache_creation":{"ephemeral_5m_input_tokens":2907,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1b42fe9b-688b-474c-b462-62771737afa3","request_id":"req_011CeK5c7z6zGZKcWsNGsWtC"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Cm7mews9a5Zz3bFF46aSBA","type":"tool_result","content":"# ============================================\n# Projet : API-KA\n# Fichier : src/monitoring/connector_health.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-18\n# ============================================\n\"\"\"Supervision centralisée des connecteurs des 9 apps de l'écosystème KA.\n\nToutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\nlecture seule, timeout 5 s) et en déduit un état par source quand le détail\nexiste (``recent_syncs`` / ``sync_log``), plus un état global par app\n(source virtuelle ``_app``). L'échec d'une app n'interrompt jamais le job.\n\nRègles de classement :\n\n- ``broken`` : ≥ 3 synchros consécutives en échec ou à 0 résultat\n (ou app injoignable 3 fois de suite) ;\n- ``stale`` : aucun sync réussi depuis > 2× la cadence attendue du service\n (au niveau source, la cadence est multipliée par un facteur de\n rotation : les apps synchronisent leurs sources par lots, une\n source individuelle repasse donc moins souvent que l'app) ;\n- ``degraded`` : dernier volume < 50 % de la médiane observée, dernier sync en\n échec (< 3), ou app injoignable (< 3) ;\n- ``ok`` : sinon.\n\nAnti-spam : l'état précédent est mémorisé dans la table ``connector_health``\n(une ligne par couple service/source, upsert à chaque run) ; une alerte\nn'est écrite dans ``logs/alerts.log`` que lors d'une TRANSITION vers\n``broken`` ou ``stale``.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport datetime\nimport math\nimport statistics\nimport time\nfrom dataclasses import dataclass, field\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom sqlalchemy import select\n\nfrom src.config import SERVICES, get_settings\nfrom src.database.db import session_scope\nfrom src.database.models import ConnectorHealth\nfrom src.utils.logger import alert, get_logger\n\n# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\nSTATUS_OK = \"ok\"\nSTATUS_DEGRADED = \"degraded\"\nSTATUS_BROKEN = \"broken\"\nSTATUS_STALE = \"stale\"\nALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n\n# broken après N échecs (ou 0 résultat) consécutifs.\nBROKEN_THRESHOLD = 3\n# degraded si volume < 50 % de la médiane.\nDEGRADED_RATIO = 0.5\n# stale si aucun succès depuis > 2× la cadence attendue.\nSTALE_FACTOR = 2\n\n# Cadence de sync attendue par service (heures).\nEXPECTED_CADENCE_HOURS: dict[str, float] = {\n \"louka\": 1,\n \"immoka\": 4,\n \"autoka\": 2,\n \"foodka\": 6,\n \"fabrika\": 6,\n \"sortika\": 1,\n \"creaka\": 24,\n \"restoka\": 168,\n \"jobka\": 1,\n}\n\n\n@dataclass\nclass SyncEntry:\n \"\"\"Une entrée de journal de sync exposée par une app sœur.\"\"\"\n\n ts: float\n found: int\n ok: bool\n message: str = \"\"\n\n\n@dataclass\nclass SourceState:\n \"\"\"État précédent d'un connecteur (relu depuis ``connector_health``).\"\"\"\n\n status: str | None = None\n last_success: datetime.datetime | None = None\n found_last: int | None = None\n median_found: float | None = None\n consecutive_failures: int = 0\n checked_at: datetime.datetime | None = None\n\n\n@dataclass\nclass Assessment:\n \"\"\"Résultat du classement d'un connecteur pour le run courant.\"\"\"\n\n status: str\n last_success: datetime.datetime | None\n found_last: int | None\n median_found: float | None\n consecutive_failures: int\n message: str = \"\"\n entries: list[SyncEntry] = field(default_factory=list)\n\n\ndef _utc(ts: float) -> datetime.datetime:\n return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n---health-route---\n24:from src.monitoring.connector_health import ALL_STATUSES\n62: # connector_health, alimentée toutes les 2 h par apika-scheduler).\n63: connectors = dict.fromkeys(ALL_STATUSES, 0)\n67: if status in connectors:\n68: connectors[status] = count\n77: \"connectors\": connectors,","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"dfa0a2df-b22b-414a-9387-2a7e942e3217","timestamp":"2026-08-23T04:52:29.075Z","tool_use_result":{"stdout":"# ============================================\n# Projet : API-KA\n# Fichier : src/monitoring/connector_health.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-18\n# ============================================\n\"\"\"Supervision centralisée des connecteurs des 9 apps de l'écosystème KA.\n\nToutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\nlecture seule, timeout 5 s) et en déduit un état par source quand le détail\nexiste (``recent_syncs`` / ``sync_log``), plus un état global par app\n(source virtuelle ``_app``). L'échec d'une app n'interrompt jamais le job.\n\nRègles de classement :\n\n- ``broken`` : ≥ 3 synchros consécutives en échec ou à 0 résultat\n (ou app injoignable 3 fois de suite) ;\n- ``stale`` : aucun sync réussi depuis > 2× la cadence attendue du service\n (au niveau source, la cadence est multipliée par un facteur de\n rotation : les apps synchronisent leurs sources par lots, une\n source individuelle repasse donc moins souvent que l'app) ;\n- ``degraded`` : dernier volume < 50 % de la médiane observée, dernier sync en\n échec (< 3), ou app injoignable (< 3) ;\n- ``ok`` : sinon.\n\nAnti-spam : l'état précédent est mémorisé dans la table ``connector_health``\n(une ligne par couple service/source, upsert à chaque run) ; une alerte\nn'est écrite dans ``logs/alerts.log`` que lors d'une TRANSITION vers\n``broken`` ou ``stale``.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport datetime\nimport math\nimport statistics\nimport time\nfrom dataclasses import dataclass, field\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom sqlalchemy import select\n\nfrom src.config import SERVICES, get_settings\nfrom src.database.db import session_scope\nfrom src.database.models import ConnectorHealth\nfrom src.utils.logger import alert, get_logger\n\n# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\nSTATUS_OK = \"ok\"\nSTATUS_DEGRADED = \"degraded\"\nSTATUS_BROKEN = \"broken\"\nSTATUS_STALE = \"stale\"\nALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n\n# broken après N échecs (ou 0 résultat) consécutifs.\nBROKEN_THRESHOLD = 3\n# degraded si volume < 50 % de la médiane.\nDEGRADED_RATIO = 0.5\n# stale si aucun succès depuis > 2× la cadence attendue.\nSTALE_FACTOR = 2\n\n# Cadence de sync attendue par service (heures).\nEXPECTED_CADENCE_HOURS: dict[str, float] = {\n \"louka\": 1,\n \"immoka\": 4,\n \"autoka\": 2,\n \"foodka\": 6,\n \"fabrika\": 6,\n \"sortika\": 1,\n \"creaka\": 24,\n \"restoka\": 168,\n \"jobka\": 1,\n}\n\n\n@dataclass\nclass SyncEntry:\n \"\"\"Une entrée de journal de sync exposée par une app sœur.\"\"\"\n\n ts: float\n found: int\n ok: bool\n message: str = \"\"\n\n\n@dataclass\nclass SourceState:\n \"\"\"État précédent d'un connecteur (relu depuis ``connector_health``).\"\"\"\n\n status: str | None = None\n last_success: datetime.datetime | None = None\n found_last: int | None = None\n median_found: float | None = None\n consecutive_failures: int = 0\n checked_at: datetime.datetime | None = None\n\n\n@dataclass\nclass Assessment:\n \"\"\"Résultat du classement d'un connecteur pour le run courant.\"\"\"\n\n status: str\n last_success: datetime.datetime | None\n found_last: int | None\n median_found: float | None\n consecutive_failures: int\n message: str = \"\"\n entries: list[SyncEntry] = field(default_factory=list)\n\n\ndef _utc(ts: float) -> datetime.datetime:\n return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n---health-route---\n24:from src.monitoring.connector_health import ALL_STATUSES\n62: # connector_health, alimentée toutes les 2 h par apika-scheduler).\n63: connectors = dict.fromkeys(ALL_STATUSES, 0)\n67: if status in connectors:\n68: connectors[status] = count\n77: \"connectors\": connectors,","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b02801f6-70e7-4014-af5a-92ad774f1993","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"c4a5d9bb-568b-45a7-8edc-ff3e6f02c228","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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9BC25HpUWFEXQAzMDBfhgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":1351,"cache_read_input_tokens":77616,"cache_creation":{"ephemeral_5m_input_tokens":1351,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d368ad53-db9f-4e7a-a391-ef3bcf30bd1f","request_id":"req_011CeK5ehwL4rqCBjtHcjGRD"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5ejRsGvJakYzLqJxmC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012CmWpSqLSyjd9HEhsgbUyp","name":"Bash","input":{"command":"mkdir -p /tmp/apika-fix && scp M3U96b:/opt/api-ka/src/api/main.py M3U96b:/opt/api-ka/src/api/reqstats.py /tmp/apika-fix/ && ssh M3U96b 'sed -n \"1140,1200p\" /opt/api-ka/src/api/routes/stats.py'","description":"Copy api-ka files locally and view stats route endpoints"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":1351,"cache_read_input_tokens":77616,"cache_creation":{"ephemeral_5m_input_tokens":1351,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8a4946cd-9331-47ff-88b5-96e4dcca77a9","request_id":"req_011CeK5ehwL4rqCBjtHcjGRD"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012CmWpSqLSyjd9HEhsgbUyp","type":"tool_result","content":"# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")\ndef stats_dashboard(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n db: Session = Depends(get_db),\n) -> dict[str, Any]:\n \"\"\"Tableau de bord analytique de la plateforme (contrat commun Groupe KA).\"\"\"\n return envelope(_dashboard_cached(db, period, date_from, date_to))\n\n\n@router.get(\"/report\")\ndef stats_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n mode: str = Query(\n \"complet\",\n description=\"complet, synthese, tendances, repartitions ou donnees\",\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport statistique PDF estampillé Groupe-KA (5 rapports, SPEC v2).\"\"\"\n mode = _normalize_mode(mode)\n dash = _dashboard_cached(db, period, date_from, date_to)\n pdf_bytes = kapdf.GroupeKAReport(site=SITE, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(PLATFORM_ID, period, mode)\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n\n# ------------------------------------------------- rapport écosystème (PDF)\nasync def _fetch_satellite_dashboard(\n client: httpx.AsyncClient, site: dict, period: str\n) -> dict[str, Any]:\n \"\"\"Dashboard d'une plateforme sœur — jamais d'exception : une plateforme\n injoignable est retournée avec ``dashboard=None`` et un motif lisible.\"\"\"\n url = f\"https://{site['domain']}/api/stats/dashboard\"\n try:\n resp = await client.get(url, params={\"period\": period})\n resp.raise_for_status()\n payload = resp.json()\n # certaines plateformes enveloppent la réponse ({success, data, meta})\n if (\n isinstance(payload, dict)\n and \"kpis\" not in payload\n and isinstance(payload.get(\"data\"), dict)\n ):\n payload = payload[\"data\"]\n if not isinstance(payload, dict) or not payload.get(\"kpis\"):\n raise ValueError(\"réponse hors contrat (kpis manquants)\")\n return {\"site\": site, \"dashboard\": payload, \"error\": None}\n except httpx.TimeoutException:\n return {\"site\": site, \"dashboard\": None, \"error\": \"délai dépassé (15 s)\"}\n except httpx.HTTPStatusError as exc:\n return {\n \"site\": site,","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ad180ab7-9e63-4780-87b2-a6ce6abc39bc","timestamp":"2026-08-23T04:53:05.747Z","tool_use_result":{"stdout":"# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")\ndef stats_dashboard(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n db: Session = Depends(get_db),\n) -> dict[str, Any]:\n \"\"\"Tableau de bord analytique de la plateforme (contrat commun Groupe KA).\"\"\"\n return envelope(_dashboard_cached(db, period, date_from, date_to))\n\n\n@router.get(\"/report\")\ndef stats_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n mode: str = Query(\n \"complet\",\n description=\"complet, synthese, tendances, repartitions ou donnees\",\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport statistique PDF estampillé Groupe-KA (5 rapports, SPEC v2).\"\"\"\n mode = _normalize_mode(mode)\n dash = _dashboard_cached(db, period, date_from, date_to)\n pdf_bytes = kapdf.GroupeKAReport(site=SITE, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(PLATFORM_ID, period, mode)\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n\n# ------------------------------------------------- rapport écosystème (PDF)\nasync def _fetch_satellite_dashboard(\n client: httpx.AsyncClient, site: dict, period: str\n) -> dict[str, Any]:\n \"\"\"Dashboard d'une plateforme sœur — jamais d'exception : une plateforme\n injoignable est retournée avec ``dashboard=None`` et un motif lisible.\"\"\"\n url = f\"https://{site['domain']}/api/stats/dashboard\"\n try:\n resp = await client.get(url, params={\"period\": period})\n resp.raise_for_status()\n payload = resp.json()\n # certaines plateformes enveloppent la réponse ({success, data, meta})\n if (\n isinstance(payload, dict)\n and \"kpis\" not in payload\n and isinstance(payload.get(\"data\"), dict)\n ):\n payload = payload[\"data\"]\n if not isinstance(payload, dict) or not payload.get(\"kpis\"):\n raise ValueError(\"réponse hors contrat (kpis manquants)\")\n return {\"site\": site, \"dashboard\": payload, \"error\": None}\n except httpx.TimeoutException:\n return {\"site\": site, \"dashboard\": None, \"error\": \"délai dépassé (15 s)\"}\n except httpx.HTTPStatusError as exc:\n return {\n \"site\": site,","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2345b920-e034-4824-be9e-8d7094772c24","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"9ce61ccb-c7b8-4ac7-8139-13f5b73ee66c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":130,"estimated_tokens_delta":80,"uuid":"1c4e8c65-b0dd-4921-8360-c650974e5bd1","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5gn7A1ZhzerhYTmFbj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01S74vrous9a9t9ztWiQKoUp","name":"Bash","input":{"command":"ssh M3U96b 'grep -n \"router = \\|APIRouter\\|^from\\|^import\" /opt/api-ka/src/api/routes/stats.py | head -25; grep -n \"def envelope\" /opt/api-ka/src/api/*.py /opt/api-ka/src/api/routes/*.py | head -3; grep -n \"def health\\|@router\" /opt/api-ka/src/api/routes/health.py'","description":"Check stats router prefix and health route shape"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3235,"cache_read_input_tokens":78967,"cache_creation":{"ephemeral_5m_input_tokens":3235,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7ded23bf-f470-4b30-816f-20b80cf747db","request_id":"req_011CeK5gk4d5Z1josaxyMZgD"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S74vrous9a9t9ztWiQKoUp","type":"tool_result","content":"30:from __future__ import annotations\n32:import asyncio\n33:import datetime\n34:import json\n35:import threading\n36:import time\n37:from pathlib import Path\n38:from typing import Any\n39:from zoneinfo import ZoneInfo\n41:import httpx\n42:from fastapi import APIRouter, Depends, HTTPException, Query, Response\n43:from sqlalchemy import func, select\n44:from sqlalchemy.orm import Session\n46:from src.api import ecopdf, kapdf\n47:from src.api.routes import envelope\n48:from src.database.db import get_db\n49:from src.database.models import ApiRequest, CollectionRun, ConnectorHealth\n51:router = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n/opt/api-ka/src/api/routes/__init__.py:18:def envelope(\n29:@router.get(\"/health\")\n30:def health(db: Session = Depends(get_db)) -> dict[str, Any]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1035ffeb-dcca-4117-bf1a-9a128d0dbc3a","timestamp":"2026-08-23T04:53:11.295Z","tool_use_result":{"stdout":"30:from __future__ import annotations\n32:import asyncio\n33:import datetime\n34:import json\n35:import threading\n36:import time\n37:from pathlib import Path\n38:from typing import Any\n39:from zoneinfo import ZoneInfo\n41:import httpx\n42:from fastapi import APIRouter, Depends, HTTPException, Query, Response\n43:from sqlalchemy import func, select\n44:from sqlalchemy.orm import Session\n46:from src.api import ecopdf, kapdf\n47:from src.api.routes import envelope\n48:from src.database.db import get_db\n49:from src.database.models import ApiRequest, CollectionRun, ConnectorHealth\n51:router = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n/opt/api-ka/src/api/routes/__init__.py:18:def envelope(\n29:@router.get(\"/health\")\n30:def health(db: Session = Depends(get_db)) -> dict[str, Any]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5c6b11af-ff93-46fe-830b-44447a2ada8d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5hB8W7AhqTpXdzCV8N","type":"message","role":"assistant","content":[{"type":"text","text":"Je copie aussi `stats.py`, puis j'édite les trois fichiers localement avant de les renvoyer."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":635,"cache_read_input_tokens":82202,"cache_creation":{"ephemeral_5m_input_tokens":635,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"30df5f00-bda0-48f4-bf58-c00514298695","request_id":"req_011CeK5h9mQ3ioY3LbtcfBaJ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5hB8W7AhqTpXdzCV8N","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TzN9QyjMxgzveY8pfiEKBC","name":"Bash","input":{"command":"scp M3U96b:/opt/api-ka/src/api/routes/stats.py /tmp/apika-fix/ && ls -la /tmp/apika-fix/","description":"Copy stats.py locally"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":635,"cache_read_input_tokens":82202,"cache_creation":{"ephemeral_5m_input_tokens":635,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"06d1bdb8-34e9-411a-bc47-020a9c0bf145","request_id":"req_011CeK5h9mQ3ioY3LbtcfBaJ"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TzN9QyjMxgzveY8pfiEKBC","type":"tool_result","content":"total 120\ndrwxr-xr-x@ 5 simon-pierreboucher wheel 160 Aug 23 00:53 .\ndrwxrwxrwt 292 root wheel 9344 Aug 23 00:53 ..\n-rw-r--r--@ 1 simon-pierreboucher wheel 6798 Aug 23 00:53 main.py\n-rw-r--r--@ 1 simon-pierreboucher wheel 5342 Aug 23 00:53 reqstats.py\n-rw-r--r--@ 1 simon-pierreboucher wheel 44974 Aug 23 00:53 stats.py","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"128e0ae3-5ccc-487e-b921-b13f6c7b57a2","timestamp":"2026-08-23T04:53:31.927Z","tool_use_result":{"stdout":"total 120\ndrwxr-xr-x@ 5 simon-pierreboucher wheel 160 Aug 23 00:53 .\ndrwxrwxrwt 292 root wheel 9344 Aug 23 00:53 ..\n-rw-r--r--@ 1 simon-pierreboucher wheel 6798 Aug 23 00:53 main.py\n-rw-r--r--@ 1 simon-pierreboucher wheel 5342 Aug 23 00:53 reqstats.py\n-rw-r--r--@ 1 simon-pierreboucher wheel 44974 Aug 23 00:53 stats.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f38af2da-5c78-42ce-aaf7-91543ddd2bc5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5ihPwVDq7kJCvbUFCf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UH8Wyj26EeGhd5UA5aU1ah","name":"Read","input":{"file_path":"/tmp/apika-fix/main.py","offset":108,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1612,"cache_read_input_tokens":82837,"cache_creation":{"ephemeral_5m_input_tokens":1612,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7e7c504c-801e-4343-87eb-72d6c1b0410a","request_id":"req_011CeK5ifxsTAu1tXoByLd1g"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UH8Wyj26EeGhd5UA5aU1ah","type":"tool_result","content":"108\t# statiquement pour le site de documentation. Voir frontend → src/api/web/ka.\n109\tif KA_DIR.is_dir():\n110\t app.mount(\"/ka\", StaticFiles(directory=KA_DIR), name=\"ka\")\n111\t\n112\t\n113\t@app.get(\"/\", tags=[\"root\"])\n114\tdef root(request: Request) -> Any:\n115\t \"\"\"Statut de la plateforme + version.\n116\t\n117\t Négociation de contenu : les navigateurs (Accept: text/html) reçoivent la\n118\t plateforme web de documentation avec playground ; les clients API reçoivent\n119\t le statut JSON uniforme.\n120\t \"\"\"\n121\t accept = request.headers.get(\"accept\", \"\")\n122\t if \"text/html\" in accept and WEB_INDEX.is_file():\n123\t return FileResponse(WEB_INDEX, media_type=\"text/html\")\n124\t return envelope(\n125\t {\n126\t \"platform\": \"API-KA\",\n127\t \"status\": \"ok\",\n128\t \"version\": VERSION,\n129\t \"services\": list(SERVICES),\n130\t \"docs\": \"/docs\",\n131\t }\n132\t )\n133\t\n134\t\n135\t@app.get(\"/contact\", tags=[\"root\"])\n136\tdef contact(request: Request) -> Any:\n137\t \"\"\"Page contact Groupe KA — HTML pour les navigateurs, JSON pour les clients API."}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7760e4e3-1647-4114-9fa8-a4c86bdf88b2","timestamp":"2026-08-23T04:53:34.444Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/main.py","content":"# statiquement pour le site de documentation. Voir frontend → src/api/web/ka.\nif KA_DIR.is_dir():\n app.mount(\"/ka\", StaticFiles(directory=KA_DIR), name=\"ka\")\n\n\n@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:\n \"\"\"Statut de la plateforme + version.\n\n Négociation de contenu : les navigateurs (Accept: text/html) reçoivent la\n plateforme web de documentation avec playground ; les clients API reçoivent\n le statut JSON uniforme.\n \"\"\"\n accept = request.headers.get(\"accept\", \"\")\n if \"text/html\" in accept and WEB_INDEX.is_file():\n return FileResponse(WEB_INDEX, media_type=\"text/html\")\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"status\": \"ok\",\n \"version\": VERSION,\n \"services\": list(SERVICES),\n \"docs\": \"/docs\",\n }\n )\n\n\n@app.get(\"/contact\", tags=[\"root\"])\ndef contact(request: Request) -> Any:\n \"\"\"Page contact Groupe KA — HTML pour les navigateurs, JSON pour les clients API.","numLines":30,"startLine":108,"totalLines":186}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"35be4d33-491c-4e7c-9bc8-90845ee620f3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5itGYWssuYKm7YwFGR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GvYDUMhsXtVj1GF4XLM6tT","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/main.py","old_string":"@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:","new_string":"@app.get(\"/\", tags=[\"root\"])\n@app.head(\"/\", include_in_schema=False)\ndef root(request: Request) -> Any:"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":577,"cache_read_input_tokens":84449,"cache_creation":{"ephemeral_5m_input_tokens":577,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d5caff91-a174-45b8-81f6-9e0efb59f395","request_id":"req_011CeK5irjXLN29w1Y4gzUjS"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GvYDUMhsXtVj1GF4XLM6tT","type":"tool_result","content":"The file /tmp/apika-fix/main.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7ccbd49f-28c8-4e18-ad29-f133e2e13751","timestamp":"2026-08-23T04:53:37.463Z","tool_use_result":{"filePath":"/tmp/apika-fix/main.py","oldString":"@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:","newString":"@app.get(\"/\", tags=[\"root\"])\n@app.head(\"/\", include_in_schema=False)\ndef root(request: Request) -> Any:","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/main.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-17\n# ============================================\n\"\"\"Application FastAPI d'API-KA — servie par uvicorn sur 127.0.0.1:8000,\nexposée publiquement uniquement via le tunnel ngrok www.api-ka.com.\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport json\nfrom collections.abc import AsyncIterator\nfrom contextlib import asynccontextmanager, suppress\nfrom pathlib import Path\nfrom typing import Any\n\nfrom fastapi import FastAPI, Request\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom src.api import reqstats\nfrom src.api.middleware.logging import RequestLoggingMiddleware\nfrom src.api.middleware.ratelimit import RateLimitMiddleware\nfrom src.api.routes import (\n agent,\n auth,\n envelope,\n health,\n iosauth,\n monitoring,\n runs,\n services,\n stats,\n)\nfrom src.config import SERVICES, get_settings, verify_node\nfrom src.database.db import init_db\nfrom src.utils.logger import get_logger\n\nVERSION = \"1.0.0\"\n\n\n@asynccontextmanager\nasync def lifespan(app: FastAPI) -> AsyncIterator[None]:\n \"\"\"Au démarrage : vérifie le node m3u96b, initialise le schéma DB et lance\n la tâche de fond qui persiste le journal léger des requêtes (/stats).\"\"\"\n verify_node()\n init_db()\n get_logger(\"apika.api\").info(\n \"API-KA démarrée\",\n extra={\"version\": VERSION, \"node\": get_settings().node_name},\n )\n flusher = asyncio.create_task(reqstats.flusher_task())\n try:\n yield\n finally:\n flusher.cancel()\n with suppress(asyncio.CancelledError):\n await flusher\n\n\napp = FastAPI(\n title=\"API-KA\",\n description=(\n \"Plateforme centrale de l'écosystème KA — données quotidiennes des services \"\n \"lou-ka, immo-ka, food-ka, auto-ka et fabri-ka. Node : m3u96b. \"\n \"Un service Groupe KA (www.groupe-ka.com).\"\n ),\n version=VERSION,\n lifespan=lifespan,\n)\n# CORS — le widget KA Agent appelle cette API depuis les 13 sites\napp.add_middleware(\n CORSMiddleware,\n allow_origins=['https://www.groupe-ka.com', 'https://groupe-ka.com', 'https://www.trouve-ka.com', 'https://trouve-ka.com', 'https://www.lou-ka.com', 'https://lou-ka.com', 'https://www.immo-ka.com', 'https://immo-ka.com', 'https://www.vrai-prix.com', 'https://vrai-prix.com', 'https://www.auto-ka.com', 'https://auto-ka.com', 'https://www.fabri-ka.com', 'https://fabri-ka.com', 'https://www.food-ka.com', 'https://food-ka.com', 'https://www.resto-ka.com', 'https://resto-ka.com', 'https://www.sorti-ka.com', 'https://sorti-ka.com', 'https://www.crea-ka.com', 'https://crea-ka.com', 'https://www.api-ka.com', 'https://api-ka.com', 'https://www.job-ka.com', 'https://job-ka.com'],\n allow_methods=[\"GET\", \"POST\"],\n allow_headers=[\"content-type\"],\n)\n\n\n# Le rate limiting s'applique en premier sur la requête entrante ; la\n# journalisation englobe tout (elle logge aussi les réponses 429).\napp.add_middleware(RateLimitMiddleware)\napp.add_middleware(RequestLoggingMiddleware)\n\n# /api/v1/runs doit être enregistré avant les routes génériques /api/v1/{service}.\napp.include_router(health.router)\napp.include_router(auth.router)\napp.include_router(runs.router)\napp.include_router(monitoring.router)\napp.include_router(stats.router)\napp.include_router(services.router)\napp.include_router(agent.router)\napp.include_router(iosauth.router)\n\n\nWEB_DIR = Path(__file__).resolve().parent / \"web\"\nWEB_INDEX = WEB_DIR / \"index.html\"\nWEB_CONTACT = WEB_DIR / \"contact.html\"\nWEB_STATS = WEB_DIR / \"stats.html\"\nKA_DIR = WEB_DIR / \"ka\"\n\n# Package ka-ui vendorisé (tokens.css, ecosystem.json, ka-shell.js) — servi\n# statiquement pour le site de documentation. Voir frontend → src/api/web/ka.\nif KA_DIR.is_dir():\n app.mount(\"/ka\", StaticFiles(directory=KA_DIR), name=\"ka\")\n\n\n@app.get(\"/\", tags=[\"root\"])\ndef root(request: Request) -> Any:\n \"\"\"Statut de la plateforme + version.\n\n Négociation de contenu : les navigateurs (Accept: text/html) reçoivent la\n plateforme web de documentation avec playground ; les clients API reçoivent\n le statut JSON uniforme.\n \"\"\"\n accept = request.headers.get(\"accept\", \"\")\n if \"text/html\" in accept and WEB_INDEX.is_file():\n return FileResponse(WEB_INDEX, media_type=\"text/html\")\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"status\": \"ok\",\n \"version\": VERSION,\n \"services\": list(SERVICES),\n \"docs\": \"/docs\",\n }\n )\n\n\n@app.get(\"/contact\", tags=[\"root\"])\ndef contact(request: Request) -> Any:\n \"\"\"Page contact Groupe KA — HTML pour les navigateurs, JSON pour les clients API.\n\n Les coordonnées proviennent d'ecosystem.json (source de vérité ka-ui).\n \"\"\"\n accept = request.headers.get(\"accept\", \"\")\n if \"text/html\" in accept and WEB_CONTACT.is_file():\n return FileResponse(WEB_CONTACT, media_type=\"text/html\")\n eco_path = KA_DIR / \"ecosystem.json\"\n eco = json.loads(eco_path.read_text(encoding=\"utf-8\")) if eco_path.is_file() else {}\n return envelope(\n {\n \"org\": eco.get(\"org\", {}).get(\"name\", \"Groupe KA\"),\n \"hub\": eco.get(\"hub\", {}).get(\"url\", \"https://www.groupe-ka.com\"),\n \"contacts\": eco.get(\"contacts\", []),\n }\n )\n\n\n@app.get(\"/stats\", tags=[\"root\"], include_in_schema=False)\ndef stats_page() -> FileResponse:\n \"\"\"Page /stats — tableau de bord analytique de la plateforme (HTML statique).\n\n Les données proviennent de GET /api/stats/dashboard ; l'export PDF de\n GET /api/stats/report (gabarit Groupe-KA).\n \"\"\"\n return FileResponse(WEB_STATS, media_type=\"text/html\")\n\n\n# Assets de marque Groupe KA servis à la racine du domaine (voir src/api/web/) :\n# favicon SVG, icône iOS et image Open Graph 1200x630 referencée par les meta og:image.\n@app.get(\"/favicon.svg\", include_in_schema=False)\ndef favicon() -> FileResponse:\n return FileResponse(WEB_DIR / \"favicon.svg\", media_type=\"image/svg+xml\")\n\n\n@app.get(\"/apple-touch-icon.png\", include_in_schema=False)\ndef apple_touch_icon() -> FileResponse:\n return FileResponse(WEB_DIR / \"apple-touch-icon.png\", media_type=\"image/png\")\n\n\n@app.get(\"/og.png\", include_in_schema=False)\ndef og_image() -> FileResponse:\n return FileResponse(WEB_DIR / \"og.png\", media_type=\"image/png\")\n\n\n@app.get(\"/ka-agent.js\", include_in_schema=False)\ndef ka_agent_js() -> FileResponse:\n \"\"\"Widget KA Agent — bulle de chat IA commune a l ecosysteme Groupe KA.\"\"\"\n return FileResponse(WEB_DIR / \"ka-agent.js\", media_type=\"application/javascript\")\n","structuredPatch":[{"oldStart":111,"oldLines":6,"newStart":111,"newLines":7,"lines":[" "," "," @app.get(\"/\", tags=[\"root\"])","+@app.head(\"/\", include_in_schema=False)"," def root(request: Request) -> Any:"," \"\"\"Statut de la plateforme + version."," "]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c4e2593b-7a4e-4eae-b2b4-6d218a6d022d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5j74jPZETGpneaLpcA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ae1TQDM2SeGrXuMh3JZ3zq","name":"Read","input":{"file_path":"/tmp/apika-fix/reqstats.py","offset":37,"limit":55},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":249,"cache_read_input_tokens":85026,"cache_creation":{"ephemeral_5m_input_tokens":249,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4695dfee-abec-4756-9269-89b7535d055e","request_id":"req_011CeK5j5hdUV27MkJBZRAWR"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ae1TQDM2SeGrXuMh3JZ3zq","type":"tool_result","content":"37\t\n38\t# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n39\t_KNOWN_PATHS = frozenset(\n40\t {\n41\t \"/\",\n42\t \"/health\",\n43\t \"/contact\",\n44\t \"/stats\",\n45\t \"/docs\",\n46\t \"/redoc\",\n47\t \"/openapi.json\",\n48\t \"/favicon.svg\",\n49\t \"/apple-touch-icon.png\",\n50\t \"/og.png\",\n51\t \"/api/v1/runs\",\n52\t \"/api/stats/dashboard\",\n53\t \"/api/stats/report\",\n54\t \"/api/stats/ecosystem-report\",\n55\t }\n56\t)\n57\t_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n58\t\n59\t\n60\tdef normalize_endpoint(path: str) -> str:\n61\t \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n62\t\n63\t Les paramètres de route (dates) sont remplacés par des gabarits, les\n64\t assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n65\t bots, 404) sont regroupés sous « (autre) ».\n66\t \"\"\"\n67\t path = path.rstrip(\"/\") or \"/\"\n68\t if path in _KNOWN_PATHS:\n69\t return path\n70\t if path.startswith(\"/ka/\"):\n71\t return \"/ka/*\"\n72\t if path.startswith(\"/api/v1/\"):\n73\t parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n74\t service = parts[3] if len(parts) > 3 else \"\"\n75\t if service in SERVICES:\n76\t if len(parts) == 4:\n77\t return f\"/api/v1/{service}\"\n78\t sub = parts[4]\n79\t if sub == \"date\":\n80\t return f\"/api/v1/{service}/date/{{date}}\"\n81\t if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n82\t return f\"/api/v1/{service}/{sub}\"\n83\t return \"/api/v1/(autre)\"\n84\t return \"(autre)\"\n85\t\n86\t\n87\tdef record(\n88\t ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n89\t) -> None:\n90\t \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n91\t entry = {"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a378ad08-7cb4-439a-a447-3c72af36acc9","timestamp":"2026-08-23T04:53:40.267Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/reqstats.py","content":"\n# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n_KNOWN_PATHS = frozenset(\n {\n \"/\",\n \"/health\",\n \"/contact\",\n \"/stats\",\n \"/docs\",\n \"/redoc\",\n \"/openapi.json\",\n \"/favicon.svg\",\n \"/apple-touch-icon.png\",\n \"/og.png\",\n \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n\ndef normalize_endpoint(path: str) -> str:\n \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n\n Les paramètres de route (dates) sont remplacés par des gabarits, les\n assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n bots, 404) sont regroupés sous « (autre) ».\n \"\"\"\n path = path.rstrip(\"/\") or \"/\"\n if path in _KNOWN_PATHS:\n return path\n if path.startswith(\"/ka/\"):\n return \"/ka/*\"\n if path.startswith(\"/api/v1/\"):\n parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n service = parts[3] if len(parts) > 3 else \"\"\n if service in SERVICES:\n if len(parts) == 4:\n return f\"/api/v1/{service}\"\n sub = parts[4]\n if sub == \"date\":\n return f\"/api/v1/{service}/date/{{date}}\"\n if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n return f\"/api/v1/{service}/{sub}\"\n return \"/api/v1/(autre)\"\n return \"(autre)\"\n\n\ndef record(\n ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n) -> None:\n \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n entry = {","numLines":55,"startLine":37,"totalLines":166}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"92e34de2-096c-490e-8c9d-14f5432eda24","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5jKZKLZS5XNtNhZM1Z","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LR6Ecxs9mtH3Gpj9XZS4qH","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/reqstats.py","old_string":" \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})","new_string":" \"/api/v1/runs\",\n \"/api/stats\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n# Familles de routes API repliées sous « /* » (auth, agent, iOS,\n# monitoring) : cardinalité bornée sans les noyer dans « (autre) ».\n_API_FAMILIES = (\"/api/auth\", \"/api/agent\", \"/api/ios\", \"/api/monitoring\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":960,"cache_read_input_tokens":85275,"cache_creation":{"ephemeral_5m_input_tokens":960,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a2f676ed-c651-4142-8067-ef102a3c49dc","request_id":"req_011CeK5jHiSRTupribghwJW2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LR6Ecxs9mtH3Gpj9XZS4qH","type":"tool_result","content":"The file /tmp/apika-fix/reqstats.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e692a49a-4a08-4d48-afb5-386c780a01e0","timestamp":"2026-08-23T04:53:45.782Z","tool_use_result":{"filePath":"/tmp/apika-fix/reqstats.py","oldString":" \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})","newString":" \"/api/v1/runs\",\n \"/api/stats\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n# Familles de routes API repliées sous « /* » (auth, agent, iOS,\n# monitoring) : cardinalité bornée sans les noyer dans « (autre) ».\n_API_FAMILIES = (\"/api/auth\", \"/api/agent\", \"/api/ios\", \"/api/monitoring\")","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/reqstats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-17\n# ============================================\n\"\"\"Journalisation légère des requêtes API vers la table ``api_requests``.\n\nConçu pour ne JAMAIS ralentir le chemin de requête : le middleware appelle\n``record()`` (un simple ``deque.append``, O(1), sans I/O) et une tâche de\nfond (démarrée dans le lifespan de l'app) vide le tampon en lot toutes les\n``FLUSH_INTERVAL`` secondes via un thread, hors boucle d'événements.\n\nRétention : ``RETENTION_DAYS`` jours — une purge s'exécute au plus une fois\npar jour lors d'un flush. Alimente exclusivement la page /stats.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport threading\nfrom collections import deque\n\nfrom src.config import SERVICES\nfrom src.utils.logger import get_logger\n\nFLUSH_INTERVAL = 5.0 # secondes entre deux vidages du tampon\nMAX_BUFFER = 10_000 # garde-fou mémoire : au-delà, les plus anciens sont perdus\nRETENTION_DAYS = 90\n\n_buffer: deque[dict] = deque(maxlen=MAX_BUFFER)\n_lock = threading.Lock()\n_last_purge: datetime.date | None = None\n\n# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n_KNOWN_PATHS = frozenset(\n {\n \"/\",\n \"/health\",\n \"/contact\",\n \"/stats\",\n \"/docs\",\n \"/redoc\",\n \"/openapi.json\",\n \"/favicon.svg\",\n \"/apple-touch-icon.png\",\n \"/og.png\",\n \"/api/v1/runs\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n\ndef normalize_endpoint(path: str) -> str:\n \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n\n Les paramètres de route (dates) sont remplacés par des gabarits, les\n assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n bots, 404) sont regroupés sous « (autre) ».\n \"\"\"\n path = path.rstrip(\"/\") or \"/\"\n if path in _KNOWN_PATHS:\n return path\n if path.startswith(\"/ka/\"):\n return \"/ka/*\"\n if path.startswith(\"/api/v1/\"):\n parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n service = parts[3] if len(parts) > 3 else \"\"\n if service in SERVICES:\n if len(parts) == 4:\n return f\"/api/v1/{service}\"\n sub = parts[4]\n if sub == \"date\":\n return f\"/api/v1/{service}/date/{{date}}\"\n if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n return f\"/api/v1/{service}/{sub}\"\n return \"/api/v1/(autre)\"\n return \"(autre)\"\n\n\ndef record(\n ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n) -> None:\n \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n entry = {\n \"ts\": ts,\n \"method\": method,\n \"endpoint\": normalize_endpoint(path),\n \"status\": int(status),\n \"duration_ms\": round(float(duration_ms), 2),\n }\n with _lock:\n _buffer.append(entry)\n\n\ndef _drain() -> list[dict]:\n \"\"\"Vide le tampon et retourne son contenu.\"\"\"\n with _lock:\n entries = list(_buffer)\n _buffer.clear()\n return entries\n\n\ndef flush() -> int:\n \"\"\"Insère en lot le contenu du tampon dans ``api_requests`` (synchrone).\n\n Appelée depuis un thread par la tâche de fond ; purge les lignes plus\n vieilles que ``RETENTION_DAYS`` jours au plus une fois par jour.\n \"\"\"\n global _last_purge\n entries = _drain()\n if not entries:\n _maybe_purge()\n return 0\n try:\n from src.database.db import session_scope\n from src.database.models import ApiRequest\n\n with session_scope() as session:\n session.bulk_insert_mappings(ApiRequest.__mapper__, entries)\n except Exception: # pragma: no cover — la stat ne doit jamais casser l'API\n get_logger(\"apika.reqstats\").exception(\"Échec du flush api_requests\")\n return 0\n _maybe_purge()\n return len(entries)\n\n\ndef _maybe_purge() -> None:\n \"\"\"Purge les requêtes plus vieilles que RETENTION_DAYS (1 fois/jour max).\"\"\"\n global _last_purge\n today = datetime.datetime.now(tz=datetime.UTC).date()\n if _last_purge == today:\n return\n _last_purge = today\n try:\n from sqlalchemy import delete\n\n from src.database.db import session_scope\n from src.database.models import ApiRequest\n\n cutoff = datetime.datetime.now(tz=datetime.UTC) - datetime.timedelta(\n days=RETENTION_DAYS\n )\n with session_scope() as session:\n session.execute(delete(ApiRequest).where(ApiRequest.ts < cutoff))\n except Exception: # pragma: no cover\n get_logger(\"apika.reqstats\").exception(\"Échec de la purge api_requests\")\n\n\nasync def flusher_task() -> None:\n \"\"\"Tâche de fond : flush périodique du tampon, hors event loop (thread).\"\"\"\n try:\n while True:\n await asyncio.sleep(FLUSH_INTERVAL)\n await asyncio.to_thread(flush)\n except asyncio.CancelledError:\n # Dernier flush au shutdown pour ne rien perdre.\n await asyncio.to_thread(flush)\n raise\n","structuredPatch":[{"oldStart":49,"oldLines":6,"newStart":49,"newLines":7,"lines":[" \"/apple-touch-icon.png\","," \"/og.png\","," \"/api/v1/runs\",","+ \"/api/stats\","," \"/api/stats/dashboard\","," \"/api/stats/report\","," \"/api/stats/ecosystem-report\","]},{"oldStart":56,"oldLines":7,"newStart":57,"newLines":11,"lines":[" )"," _SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})"," ","+# Familles de routes API repliées sous « /* » (auth, agent, iOS,","+# monitoring) : cardinalité bornée sans les noyer dans « (autre) ».","+_API_FAMILIES = (\"/api/auth\", \"/api/agent\", \"/api/ios\", \"/api/monitoring\")"," ","+"," def normalize_endpoint(path: str) -> str:"," \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée."," "]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"35645055-0f4a-4049-9368-8bc8c8e52f2d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5jiceDdxSU9GCGSqCv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FVUgXB3CATfWHLXaTJenFh","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/reqstats.py","old_string":" return \"/api/v1/(autre)\"\n return \"(autre)\"","new_string":" return \"/api/v1/(autre)\"\n for family in _API_FAMILIES:\n if path == family or path.startswith(family + \"/\"):\n return f\"{family}/*\"\n return \"(autre)\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":475,"cache_read_input_tokens":86235,"cache_creation":{"ephemeral_5m_input_tokens":475,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bc704ac8-0138-4073-9217-28471f405bf2","request_id":"req_011CeK5jhCKMh3BVBRCgH9B2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FVUgXB3CATfWHLXaTJenFh","type":"tool_result","content":"The file /tmp/apika-fix/reqstats.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ee3cd7e8-555c-440c-8c6e-e8d7d2dd0a66","timestamp":"2026-08-23T04:53:49.284Z","tool_use_result":{"filePath":"/tmp/apika-fix/reqstats.py","oldString":" return \"/api/v1/(autre)\"\n return \"(autre)\"","newString":" return \"/api/v1/(autre)\"\n for family in _API_FAMILIES:\n if path == family or path.startswith(family + \"/\"):\n return f\"{family}/*\"\n return \"(autre)\"","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/reqstats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-17\n# ============================================\n\"\"\"Journalisation légère des requêtes API vers la table ``api_requests``.\n\nConçu pour ne JAMAIS ralentir le chemin de requête : le middleware appelle\n``record()`` (un simple ``deque.append``, O(1), sans I/O) et une tâche de\nfond (démarrée dans le lifespan de l'app) vide le tampon en lot toutes les\n``FLUSH_INTERVAL`` secondes via un thread, hors boucle d'événements.\n\nRétention : ``RETENTION_DAYS`` jours — une purge s'exécute au plus une fois\npar jour lors d'un flush. Alimente exclusivement la page /stats.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport threading\nfrom collections import deque\n\nfrom src.config import SERVICES\nfrom src.utils.logger import get_logger\n\nFLUSH_INTERVAL = 5.0 # secondes entre deux vidages du tampon\nMAX_BUFFER = 10_000 # garde-fou mémoire : au-delà, les plus anciens sont perdus\nRETENTION_DAYS = 90\n\n_buffer: deque[dict] = deque(maxlen=MAX_BUFFER)\n_lock = threading.Lock()\n_last_purge: datetime.date | None = None\n\n# Chemins statiques connus, conservés tels quels dans la colonne ``endpoint``.\n_KNOWN_PATHS = frozenset(\n {\n \"/\",\n \"/health\",\n \"/contact\",\n \"/stats\",\n \"/docs\",\n \"/redoc\",\n \"/openapi.json\",\n \"/favicon.svg\",\n \"/apple-touch-icon.png\",\n \"/og.png\",\n \"/api/v1/runs\",\n \"/api/stats\",\n \"/api/stats/dashboard\",\n \"/api/stats/report\",\n \"/api/stats/ecosystem-report\",\n }\n)\n_SERVICE_SUBROUTES = frozenset({\"latest\", \"stats\"})\n\n# Familles de routes API repliées sous « /* » (auth, agent, iOS,\n# monitoring) : cardinalité bornée sans les noyer dans « (autre) ».\n_API_FAMILIES = (\"/api/auth\", \"/api/agent\", \"/api/ios\", \"/api/monitoring\")\n\n\ndef normalize_endpoint(path: str) -> str:\n \"\"\"Replie un chemin de requête vers un endpoint à cardinalité bornée.\n\n Les paramètres de route (dates) sont remplacés par des gabarits, les\n assets statiques /ka/* sont agrégés et les chemins inconnus (scans de\n bots, 404) sont regroupés sous « (autre) ».\n \"\"\"\n path = path.rstrip(\"/\") or \"/\"\n if path in _KNOWN_PATHS:\n return path\n if path.startswith(\"/ka/\"):\n return \"/ka/*\"\n if path.startswith(\"/api/v1/\"):\n parts = path.split(\"/\") # ['', 'api', 'v1', service, ...]\n service = parts[3] if len(parts) > 3 else \"\"\n if service in SERVICES:\n if len(parts) == 4:\n return f\"/api/v1/{service}\"\n sub = parts[4]\n if sub == \"date\":\n return f\"/api/v1/{service}/date/{{date}}\"\n if sub in _SERVICE_SUBROUTES and len(parts) == 5:\n return f\"/api/v1/{service}/{sub}\"\n return \"/api/v1/(autre)\"\n return \"(autre)\"\n\n\ndef record(\n ts: datetime.datetime, method: str, path: str, status: int, duration_ms: float\n) -> None:\n \"\"\"Empile une requête dans le tampon mémoire (non bloquant, jamais d'I/O).\"\"\"\n entry = {\n \"ts\": ts,\n \"method\": method,\n \"endpoint\": normalize_endpoint(path),\n \"status\": int(status),\n \"duration_ms\": round(float(duration_ms), 2),\n }\n with _lock:\n _buffer.append(entry)\n\n\ndef _drain() -> list[dict]:\n \"\"\"Vide le tampon et retourne son contenu.\"\"\"\n with _lock:\n entries = list(_buffer)\n _buffer.clear()\n return entries\n\n\ndef flush() -> int:\n \"\"\"Insère en lot le contenu du tampon dans ``api_requests`` (synchrone).\n\n Appelée depuis un thread par la tâche de fond ; purge les lignes plus\n vieilles que ``RETENTION_DAYS`` jours au plus une fois par jour.\n \"\"\"\n global _last_purge\n entries = _drain()\n if not entries:\n _maybe_purge()\n return 0\n try:\n from src.database.db import session_scope\n from src.database.models import ApiRequest\n\n with session_scope() as session:\n session.bulk_insert_mappings(ApiRequest.__mapper__, entries)\n except Exception: # pragma: no cover — la stat ne doit jamais casser l'API\n get_logger(\"apika.reqstats\").exception(\"Échec du flush api_requests\")\n return 0\n _maybe_purge()\n return len(entries)\n\n\ndef _maybe_purge() -> None:\n \"\"\"Purge les requêtes plus vieilles que RETENTION_DAYS (1 fois/jour max).\"\"\"\n global _last_purge\n today = datetime.datetime.now(tz=datetime.UTC).date()\n if _last_purge == today:\n return\n _last_purge = today\n try:\n from sqlalchemy import delete\n\n from src.database.db import session_scope\n from src.database.models import ApiRequest\n\n cutoff = datetime.datetime.now(tz=datetime.UTC) - datetime.timedelta(\n days=RETENTION_DAYS\n )\n with session_scope() as session:\n session.execute(delete(ApiRequest).where(ApiRequest.ts < cutoff))\n except Exception: # pragma: no cover\n get_logger(\"apika.reqstats\").exception(\"Échec de la purge api_requests\")\n\n\nasync def flusher_task() -> None:\n \"\"\"Tâche de fond : flush périodique du tampon, hors event loop (thread).\"\"\"\n try:\n while True:\n await asyncio.sleep(FLUSH_INTERVAL)\n await asyncio.to_thread(flush)\n except asyncio.CancelledError:\n # Dernier flush au shutdown pour ne rien perdre.\n await asyncio.to_thread(flush)\n raise\n","structuredPatch":[{"oldStart":86,"oldLines":6,"newStart":86,"newLines":9,"lines":[" if sub in _SERVICE_SUBROUTES and len(parts) == 5:"," return f\"/api/v1/{service}/{sub}\""," return \"/api/v1/(autre)\"","+ for family in _API_FAMILIES:","+ if path == family or path.startswith(family + \"/\"):","+ return f\"{family}/*\""," return \"(autre)\""," "," "]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"dc698842-8d6a-41c6-9875-a4a5acf49586","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"d735b122-9b03-43da-9b5e-59ee8338bb9f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":108,"estimated_tokens_delta":58,"uuid":"5b0792c8-c2ef-400f-974f-92d8ccd9b071","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5jz83ec1XpTkztMRC9","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":273,"cache_read_input_tokens":86710,"cache_creation":{"ephemeral_5m_input_tokens":273,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"00392b69-4394-4752-9a97-cda917a8c06f","request_id":"req_011CeK5jxAj8VHqWAxH37zSq"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5jz83ec1XpTkztMRC9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017tvJJJumirFK3JsEifQ4hb","name":"Read","input":{"file_path":"/tmp/apika-fix/stats.py","offset":51,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":273,"cache_read_input_tokens":86710,"cache_creation":{"ephemeral_5m_input_tokens":273,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"59cd7924-d7c0-4b34-96c0-574ba9f65a07","request_id":"req_011CeK5jxAj8VHqWAxH37zSq"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017tvJJJumirFK3JsEifQ4hb","type":"tool_result","content":"51\trouter = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n52\t\n53\tTZ = ZoneInfo(\"America/Toronto\")\n54\tCACHE_TTL = 300.0 # ≥ 5 min (SPEC)\n55\tPLATFORM_ID = \"api-ka\"\n56\t\n57\tSITE = {\n58\t \"wordmark\": \"API·Ka\",\n59\t \"accent\": \"#3b5bdb\",\n60\t \"domain\": \"www.api-ka.com\",\n61\t \"tagline\": \"Plateforme centrale de l'écosystème Groupe KA\",\n62\t}\n63\t\n64\tSERVICE_NAMES = {\n65\t \"louka\": \"Lou·Ka\",\n66\t \"immoka\": \"Immo·Ka\",\n67\t \"foodka\": \"Food·Ka\",\n68\t \"autoka\": \"Auto·Ka\",\n69\t \"fabrika\": \"Fabri·Ka\",\n70\t \"restoka\": \"Resto·Ka\",\n71\t \"sortika\": \"Sorti·Ka\",\n72\t \"creaka\": \"Créa·Ka\",\n73\t \"jobka\": \"Job·Ka\",\n74\t}\n75\t\n76\tPERIOD_LABELS = {\n77\t \"auj\": \"aujourd'hui\",\n78\t \"7j\": \"7 jours\",\n79\t \"30j\": \"30 jours\",\n80\t \"3m\": \"3 mois\",\n81\t \"6m\": \"6 mois\",\n82\t \"12m\": \"12 mois\",\n83\t \"annee\": \"année en cours\",\n84\t \"tout\": \"toute la période\",\n85\t}\n86\tPERIOD_DAYS = {\"7j\": 7, \"30j\": 30, \"3m\": 91, \"6m\": 182, \"12m\": 365}\n87\t\n88\tRUN_STATUS_FR = {\"success\": \"succès\", \"failed\": \"échec\", \"retried\": \"relancé\"}\n89\tHEALTH_FR = {\"ok\": \"OK\", \"degraded\": \"dégradé\", \"broken\": \"en panne\", \"stale\": \"périmé\"}\n90\tLAT_BINS = [\n91\t (0, 25, \"< 25 ms\"),\n92\t (25, 50, \"25-50 ms\"),\n93\t (50, 100, \"50-100 ms\"),\n94\t (100, 200, \"100-200 ms\"),\n95\t (200, 500, \"200-500 ms\"),\n96\t (500, 1000, \"0,5-1 s\"),\n97\t (1000, 2000, \"1-2 s\"),\n98\t (2000, float(\"inf\"), \"> 2 s\"),\n99\t]\n100\tDUR_BINS = [\n101\t (0, 1, \"< 1 s\"),\n102\t (1, 5, \"1-5 s\"),\n103\t (5, 15, \"5-15 s\"),\n104\t (15, 30, \"15-30 s\"),\n105\t (30, 60, \"30-60 s\"),\n106\t (60, float(\"inf\"), \"> 60 s\"),\n107\t]\n108\t\n109\t_cache: dict[tuple, tuple[float, dict]] = {}\n110\t_cache_lock = threading.Lock()\n111\t\n112\t# ------------------------------------------------------ rapport écosystème\n113\tECO_CACHE_TTL = 600.0 # 10 min par (period, mode)\n114\tECO_FETCH_TIMEOUT = 15.0\n115\t_eco_cache: dict[tuple[str, str], tuple[float, bytes, str]] = {}\n116\t_eco_lock = threading.Lock()\n117\t\n118\t_ECOSYSTEM_JSON = Path(__file__).resolve().parents[1] / \"web\" / \"ka\" / \"ecosystem.json\"\n119\t# Les 11 plateformes de données (le hub groupe-ka n'expose pas de dashboard).\n120\tECO_SITES: list[dict] = [\n121\t s\n122\t for s in json.loads(_ECOSYSTEM_JSON.read_text(encoding=\"utf-8\"))[\"sites\"]\n123\t if s[\"id\"] != \"groupe-ka\"\n124\t]\n125\t\n126\t\n127\t# ---------------------------------------------------------------- périodes\n128\tdef _resolve_period(\n129\t period: str,\n130\t date_from: datetime.date | None,"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7e626cfc-1e8e-4ae6-a6ff-ca2f9cc48ca5","timestamp":"2026-08-23T04:53:53.243Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/stats.py","content":"router = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n\nTZ = ZoneInfo(\"America/Toronto\")\nCACHE_TTL = 300.0 # ≥ 5 min (SPEC)\nPLATFORM_ID = \"api-ka\"\n\nSITE = {\n \"wordmark\": \"API·Ka\",\n \"accent\": \"#3b5bdb\",\n \"domain\": \"www.api-ka.com\",\n \"tagline\": \"Plateforme centrale de l'écosystème Groupe KA\",\n}\n\nSERVICE_NAMES = {\n \"louka\": \"Lou·Ka\",\n \"immoka\": \"Immo·Ka\",\n \"foodka\": \"Food·Ka\",\n \"autoka\": \"Auto·Ka\",\n \"fabrika\": \"Fabri·Ka\",\n \"restoka\": \"Resto·Ka\",\n \"sortika\": \"Sorti·Ka\",\n \"creaka\": \"Créa·Ka\",\n \"jobka\": \"Job·Ka\",\n}\n\nPERIOD_LABELS = {\n \"auj\": \"aujourd'hui\",\n \"7j\": \"7 jours\",\n \"30j\": \"30 jours\",\n \"3m\": \"3 mois\",\n \"6m\": \"6 mois\",\n \"12m\": \"12 mois\",\n \"annee\": \"année en cours\",\n \"tout\": \"toute la période\",\n}\nPERIOD_DAYS = {\"7j\": 7, \"30j\": 30, \"3m\": 91, \"6m\": 182, \"12m\": 365}\n\nRUN_STATUS_FR = {\"success\": \"succès\", \"failed\": \"échec\", \"retried\": \"relancé\"}\nHEALTH_FR = {\"ok\": \"OK\", \"degraded\": \"dégradé\", \"broken\": \"en panne\", \"stale\": \"périmé\"}\nLAT_BINS = [\n (0, 25, \"< 25 ms\"),\n (25, 50, \"25-50 ms\"),\n (50, 100, \"50-100 ms\"),\n (100, 200, \"100-200 ms\"),\n (200, 500, \"200-500 ms\"),\n (500, 1000, \"0,5-1 s\"),\n (1000, 2000, \"1-2 s\"),\n (2000, float(\"inf\"), \"> 2 s\"),\n]\nDUR_BINS = [\n (0, 1, \"< 1 s\"),\n (1, 5, \"1-5 s\"),\n (5, 15, \"5-15 s\"),\n (15, 30, \"15-30 s\"),\n (30, 60, \"30-60 s\"),\n (60, float(\"inf\"), \"> 60 s\"),\n]\n\n_cache: dict[tuple, tuple[float, dict]] = {}\n_cache_lock = threading.Lock()\n\n# ------------------------------------------------------ rapport écosystème\nECO_CACHE_TTL = 600.0 # 10 min par (period, mode)\nECO_FETCH_TIMEOUT = 15.0\n_eco_cache: dict[tuple[str, str], tuple[float, bytes, str]] = {}\n_eco_lock = threading.Lock()\n\n_ECOSYSTEM_JSON = Path(__file__).resolve().parents[1] / \"web\" / \"ka\" / \"ecosystem.json\"\n# Les 11 plateformes de données (le hub groupe-ka n'expose pas de dashboard).\nECO_SITES: list[dict] = [\n s\n for s in json.loads(_ECOSYSTEM_JSON.read_text(encoding=\"utf-8\"))[\"sites\"]\n if s[\"id\"] != \"groupe-ka\"\n]\n\n\n# ---------------------------------------------------------------- périodes\ndef _resolve_period(\n period: str,\n date_from: datetime.date | None,","numLines":80,"startLine":51,"totalLines":1295}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e91d9a8c-86e9-48a3-875b-fe93dcc5ca79","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5kGtrdVddpJcf4SBui","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014mRrXkkEf2VsakZaEk9odW","name":"Read","input":{"file_path":"/tmp/apika-fix/stats.py","offset":180,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":1579,"cache_read_input_tokens":86983,"cache_creation":{"ephemeral_5m_input_tokens":1579,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5b616c03-06c0-440d-b98e-192744565e6b","request_id":"req_011CeK5kF9SHmP4JdnxY2MgM"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014mRrXkkEf2VsakZaEk9odW","type":"tool_result","content":"180\tdef _fetch_requests(\n181\t db: Session, d_from: datetime.date, d_to: datetime.date\n182\t) -> list[tuple[datetime.datetime, str, str, int, float]]:\n183\t \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n184\t lo, hi = _utc_bounds(d_from, d_to)\n185\t rows = db.execute(\n186\t select(\n187\t ApiRequest.ts,\n188\t ApiRequest.method,\n189\t ApiRequest.endpoint,\n190\t ApiRequest.status,\n191\t ApiRequest.duration_ms,\n192\t ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n193\t ).all()\n194\t out = []\n195\t for ts, method, endpoint, status, duration in rows:\n196\t if ts.tzinfo is None:\n197\t ts = ts.replace(tzinfo=datetime.UTC)\n198\t out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n199\t return out\n200\t\n201\t\n202\tdef _fetch_runs(\n203\t db: Session, d_from: datetime.date, d_to: datetime.date\n204\t) -> list[CollectionRun]:"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5464552d-3bab-4e18-a7c9-e5ed7d9e0698","timestamp":"2026-08-23T04:53:56.053Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/stats.py","content":"def _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()\n out = []\n for ts, method, endpoint, status, duration in rows:\n if ts.tzinfo is None:\n ts = ts.replace(tzinfo=datetime.UTC)\n out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n return out\n\n\ndef _fetch_runs(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[CollectionRun]:","numLines":25,"startLine":180,"totalLines":1295}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4dce083e-640b-4a39-ae2e-bad99de4b83b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5kV1rzF486Cmu8DGAn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015peX9gMibJZawFrs9gd6yD","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/stats.py","old_string":"def _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()","new_string":"# Endpoints « bruit » exclus des métriques du tableau de bord : chemins\n# inconnus sondés par les scanners/bots (404, .env, etc.). Ils restent\n# journalisés dans api_requests pour la visibilité sécurité, mais ne doivent\n# pas polluer le taux d'erreur qui mesure la santé réelle de l'API.\nNOISE_ENDPOINTS = (\"(autre)\", \"/api/v1/(autre)\")\n\n\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(\n ApiRequest.ts >= lo,\n ApiRequest.ts < hi,\n ApiRequest.endpoint.notin_(NOISE_ENDPOINTS),\n )\n ).all()"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":868,"cache_read_input_tokens":88562,"cache_creation":{"ephemeral_5m_input_tokens":868,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5266265c-fefb-45d3-96e4-799d19c0306e","request_id":"req_011CeK5kT7mMP8GneBKMFZXv"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015peX9gMibJZawFrs9gd6yD","type":"tool_result","content":"The file /tmp/apika-fix/stats.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2ff7e3c2-d1c8-4d5c-8ea1-c45099fe8ed1","timestamp":"2026-08-23T04:54:04.633Z","tool_use_result":{"filePath":"/tmp/apika-fix/stats.py","oldString":"def _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()","newString":"# Endpoints « bruit » exclus des métriques du tableau de bord : chemins\n# inconnus sondés par les scanners/bots (404, .env, etc.). Ils restent\n# journalisés dans api_requests pour la visibilité sécurité, mais ne doivent\n# pas polluer le taux d'erreur qui mesure la santé réelle de l'API.\nNOISE_ENDPOINTS = (\"(autre)\", \"/api/v1/(autre)\")\n\n\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(\n ApiRequest.ts >= lo,\n ApiRequest.ts < hi,\n ApiRequest.endpoint.notin_(NOISE_ENDPOINTS),\n )\n ).all()","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/routes/stats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-19\n# ============================================\n\"\"\"Routes /api/stats : tableau de bord analytique de la plateforme + rapports PDF.\n\nContrat commun Groupe KA v2 (src/api/web/ka/stats/SPEC.md) :\n- ``GET /api/stats/dashboard?period=…`` → JSON (KPI + sparklines, jauges,\n séries, multi-séries, empilées, répartitions avec deltas, distributions,\n heatmap calendrier + horaire 7×24, tableaux, records) calculé depuis les\n données réelles : table ``api_requests`` (journal du middleware),\n ``collection_runs`` et ``connector_health``.\n- ``GET /api/stats/report?period=…&mode=complet|synthese|tendances|\n repartitions|donnees`` → PDF Groupe-KA (moteur kapdf v2, 5 rapports —\n un mode inconnu retombe sur ``complet``).\n- ``GET /api/stats/ecosystem-report?period=…&mode=…`` → UN SEUL PDF\n consolidant les 12 plateformes de l'écosystème : les dashboards des\n plateformes sœurs sont lus en parallèle (httpx, 15 s), le sien en local ;\n une plateforme injoignable devient une section « données indisponibles ».\n ``mode`` optionnel (mêmes 5 modes, inconnu ou absent → complet).\n\nCache serveur : 5 minutes par période. Aucune stat inventée : une section\nsans données est simplement absente (le front affiche « Pas encore mesuré »).\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport json\nimport threading\nimport time\nfrom pathlib import Path\nfrom typing import Any\nfrom zoneinfo import ZoneInfo\n\nimport httpx\nfrom fastapi import APIRouter, Depends, HTTPException, Query, Response\nfrom sqlalchemy import func, select\nfrom sqlalchemy.orm import Session\n\nfrom src.api import ecopdf, kapdf\nfrom src.api.routes import envelope\nfrom src.database.db import get_db\nfrom src.database.models import ApiRequest, CollectionRun, ConnectorHealth\n\nrouter = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n\nTZ = ZoneInfo(\"America/Toronto\")\nCACHE_TTL = 300.0 # ≥ 5 min (SPEC)\nPLATFORM_ID = \"api-ka\"\n\nSITE = {\n \"wordmark\": \"API·Ka\",\n \"accent\": \"#3b5bdb\",\n \"domain\": \"www.api-ka.com\",\n \"tagline\": \"Plateforme centrale de l'écosystème Groupe KA\",\n}\n\nSERVICE_NAMES = {\n \"louka\": \"Lou·Ka\",\n \"immoka\": \"Immo·Ka\",\n \"foodka\": \"Food·Ka\",\n \"autoka\": \"Auto·Ka\",\n \"fabrika\": \"Fabri·Ka\",\n \"restoka\": \"Resto·Ka\",\n \"sortika\": \"Sorti·Ka\",\n \"creaka\": \"Créa·Ka\",\n \"jobka\": \"Job·Ka\",\n}\n\nPERIOD_LABELS = {\n \"auj\": \"aujourd'hui\",\n \"7j\": \"7 jours\",\n \"30j\": \"30 jours\",\n \"3m\": \"3 mois\",\n \"6m\": \"6 mois\",\n \"12m\": \"12 mois\",\n \"annee\": \"année en cours\",\n \"tout\": \"toute la période\",\n}\nPERIOD_DAYS = {\"7j\": 7, \"30j\": 30, \"3m\": 91, \"6m\": 182, \"12m\": 365}\n\nRUN_STATUS_FR = {\"success\": \"succès\", \"failed\": \"échec\", \"retried\": \"relancé\"}\nHEALTH_FR = {\"ok\": \"OK\", \"degraded\": \"dégradé\", \"broken\": \"en panne\", \"stale\": \"périmé\"}\nLAT_BINS = [\n (0, 25, \"< 25 ms\"),\n (25, 50, \"25-50 ms\"),\n (50, 100, \"50-100 ms\"),\n (100, 200, \"100-200 ms\"),\n (200, 500, \"200-500 ms\"),\n (500, 1000, \"0,5-1 s\"),\n (1000, 2000, \"1-2 s\"),\n (2000, float(\"inf\"), \"> 2 s\"),\n]\nDUR_BINS = [\n (0, 1, \"< 1 s\"),\n (1, 5, \"1-5 s\"),\n (5, 15, \"5-15 s\"),\n (15, 30, \"15-30 s\"),\n (30, 60, \"30-60 s\"),\n (60, float(\"inf\"), \"> 60 s\"),\n]\n\n_cache: dict[tuple, tuple[float, dict]] = {}\n_cache_lock = threading.Lock()\n\n# ------------------------------------------------------ rapport écosystème\nECO_CACHE_TTL = 600.0 # 10 min par (period, mode)\nECO_FETCH_TIMEOUT = 15.0\n_eco_cache: dict[tuple[str, str], tuple[float, bytes, str]] = {}\n_eco_lock = threading.Lock()\n\n_ECOSYSTEM_JSON = Path(__file__).resolve().parents[1] / \"web\" / \"ka\" / \"ecosystem.json\"\n# Les 11 plateformes de données (le hub groupe-ka n'expose pas de dashboard).\nECO_SITES: list[dict] = [\n s\n for s in json.loads(_ECOSYSTEM_JSON.read_text(encoding=\"utf-8\"))[\"sites\"]\n if s[\"id\"] != \"groupe-ka\"\n]\n\n\n# ---------------------------------------------------------------- périodes\ndef _resolve_period(\n period: str,\n date_from: datetime.date | None,\n date_to: datetime.date | None,\n db: Session,\n) -> tuple[datetime.date, datetime.date, str]:\n \"\"\"Résout (from, to, label) en dates locales America/Toronto.\"\"\"\n today = datetime.datetime.now(tz=TZ).date()\n if date_from and date_to:\n if date_from > date_to:\n raise HTTPException(status_code=422, detail=\"from doit précéder to\")\n return date_from, date_to, f\"du {date_from} au {date_to}\"\n if period == \"auj\":\n return today, today, PERIOD_LABELS[\"auj\"]\n if period == \"annee\":\n return datetime.date(today.year, 1, 1), today, PERIOD_LABELS[\"annee\"]\n if period == \"tout\":\n firsts = [\n db.execute(select(func.min(ApiRequest.ts))).scalar(),\n db.execute(select(func.min(CollectionRun.started_at))).scalar(),\n ]\n dates = []\n for f in firsts:\n if f is not None:\n if f.tzinfo is None:\n f = f.replace(tzinfo=datetime.UTC)\n dates.append(f.astimezone(TZ).date())\n return (min(dates) if dates else today), today, PERIOD_LABELS[\"tout\"]\n if period in PERIOD_DAYS:\n return (\n today - datetime.timedelta(days=PERIOD_DAYS[period] - 1),\n today,\n PERIOD_LABELS[period],\n )\n raise HTTPException(\n status_code=422,\n detail=f\"Période invalide : {period}. Valides : {', '.join(PERIOD_LABELS)}\",\n )\n\n\ndef _utc_bounds(\n d_from: datetime.date, d_to: datetime.date\n) -> tuple[datetime.datetime, datetime.datetime]:\n \"\"\"Bornes UTC [00:00 from, 24:00 to] exprimées depuis les dates locales.\"\"\"\n start = datetime.datetime.combine(d_from, datetime.time.min, tzinfo=TZ)\n end = datetime.datetime.combine(\n d_to + datetime.timedelta(days=1), datetime.time.min, tzinfo=TZ\n )\n return start.astimezone(datetime.UTC), end.astimezone(datetime.UTC)\n\n\n# ---------------------------------------------------------------- agrégats\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)\n ).all()\n out = []\n for ts, method, endpoint, status, duration in rows:\n if ts.tzinfo is None:\n ts = ts.replace(tzinfo=datetime.UTC)\n out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n return out\n\n\ndef _fetch_runs(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[CollectionRun]:\n \"\"\"Runs de collecte de la fenêtre (par date logique ``date_key``).\"\"\"\n return (\n db.execute(\n select(CollectionRun)\n .where(CollectionRun.date_key >= d_from, CollectionRun.date_key <= d_to)\n .order_by(CollectionRun.started_at.desc())\n )\n .scalars()\n .all()\n )\n\n\ndef _fetch_health(db: Session) -> list[ConnectorHealth]:\n \"\"\"État courant des connecteurs supervisés (hors ligne virtuelle _app).\"\"\"\n return (\n db.execute(\n select(ConnectorHealth)\n .where(ConnectorHealth.source != \"_app\")\n .order_by(ConnectorHealth.service, ConnectorHealth.source)\n )\n .scalars()\n .all()\n )\n\n\ndef _p95(values: list[float]) -> float:\n if not values:\n return 0.0\n vs = sorted(values)\n idx = max(0, int(round(0.95 * (len(vs) - 1))))\n return vs[idx]\n\n\ndef _delta(cur: float, prev: float | None) -> float | None:\n if prev is None or prev == 0:\n return None\n return round((cur - prev) / prev * 100, 1)\n\n\ndef _daterange(d_from: datetime.date, d_to: datetime.date) -> list[datetime.date]:\n n = (d_to - d_from).days + 1\n return [d_from + datetime.timedelta(days=i) for i in range(n)]\n\n\ndef _fr_int(n: float) -> str:\n return f\"{int(n):,}\".replace(\",\", \" \")\n\n\ndef _fr_num(n: float) -> str:\n if isinstance(n, float) and not float(n).is_integer():\n return f\"{n:,.1f}\".replace(\",\", \" \").replace(\".\", \",\")\n return _fr_int(n)\n\n\ndef _spark(points: list[dict], max_pts: int = 40) -> list[dict]:\n \"\"\"Sous-échantillonne une série pour la sparkline d'un KPI (≤ max_pts).\"\"\"\n if len(points) <= max_pts:\n return points\n step = len(points) / max_pts\n out = [points[min(len(points) - 1, int(i * step))] for i in range(max_pts)]\n if out[-1] is not points[-1]:\n out[-1] = points[-1]\n return out\n\n\ndef _hist(values: list[float], bins) -> list[dict]:\n out = []\n for lo, hi, label in bins:\n c = sum(1 for v in values if lo <= v < hi)\n out.append({\"label\": label, \"value\": c})\n while out and out[-1][\"value\"] == 0:\n out.pop()\n return out\n\n\n# ---------------------------------------------------------------- dashboard\ndef _build_dashboard(db: Session, period: str, d_from, d_to, label) -> dict[str, Any]:\n \"\"\"Calcule le JSON complet du contrat SPEC v2 depuis les données réelles.\"\"\"\n hourly = period == \"auj\" or d_from == d_to\n span = (d_to - d_from).days + 1\n prev_to = d_from - datetime.timedelta(days=1)\n prev_from = prev_to - datetime.timedelta(days=span - 1)\n\n reqs = _fetch_requests(db, d_from, d_to)\n prev_reqs = _fetch_requests(db, prev_from, prev_to)\n runs = _fetch_runs(db, d_from, d_to)\n prev_runs = _fetch_runs(db, prev_from, prev_to)\n health = _fetch_health(db)\n\n days = _daterange(d_from, d_to)\n\n # -------- seaux temporels (jour, ou heure quand la fenêtre = 1 jour)\n if hourly:\n bucket_keys: list = list(range(24))\n bucket_labels = [f\"{h:02d}h\" for h in range(24)]\n req_bucket = {i: [] for i in bucket_keys}\n for r in reqs:\n req_bucket[r[0].hour].append(r)\n else:\n bucket_keys = days\n bucket_labels = [d.isoformat() for d in days]\n req_bucket = {d: [] for d in days}\n for r in reqs:\n d = r[0].date()\n if d in req_bucket:\n req_bucket[d].append(r)\n\n def per_bucket(fn) -> list[dict]:\n return [\n {\"t\": bucket_labels[i], \"v\": fn(req_bucket[k])}\n for i, k in enumerate(bucket_keys)\n ]\n\n calls_pts = per_bucket(len)\n err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n avg_pts = per_bucket(\n lambda rs: round(sum(r[4] for r in rs) / len(rs), 1) if rs else 0\n )\n p95_pts = per_bucket(lambda rs: round(_p95([r[4] for r in rs]), 1) if rs else 0)\n errate_pts = per_bucket(\n lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n if rs\n else 0\n )\n\n # -------- agrégats requêtes API (période courante)\n total_calls = len(reqs)\n durations = [r[4] for r in reqs]\n avg_ms = round(sum(durations) / total_calls, 2) if total_calls else 0.0\n p95_ms = round(_p95(durations), 2)\n errors = sum(1 for r in reqs if r[3] >= 400)\n err5xx = sum(1 for r in reqs if r[3] >= 500)\n err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n success = total_calls - errors\n fast200 = sum(1 for d in durations if d < 200)\n active_endpoints = len({r[2] for r in reqs})\n active_days = sum(1 for k in bucket_keys if req_bucket[k]) if not hourly else None\n\n # -------- agrégats requêtes API (période précédente, pour les deltas)\n prev_calls = len(prev_reqs)\n prev_durs = [r[4] for r in prev_reqs]\n prev_avg = (sum(prev_durs) / prev_calls) if prev_calls else None\n prev_p95 = _p95(prev_durs) if prev_calls else None\n prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n prev_err5xx = sum(1 for r in prev_reqs if r[3] >= 500)\n prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n prev_endpoints = len({r[2] for r in prev_reqs})\n\n # -------- agrégats runs de collecte\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n failed_runs = [r for r in runs if r.status == \"failed\"]\n records_total = sum(r.records_count for r in ok_runs)\n active_services = len({r.service for r in runs})\n prev_ok = [r for r in prev_runs if r.status in (\"success\", \"retried\")]\n prev_failed = [r for r in prev_runs if r.status == \"failed\"]\n prev_records = sum(r.records_count for r in prev_ok)\n\n rec_day: dict[datetime.date, int] = {d: 0 for d in days}\n okrun_day: dict[datetime.date, int] = {d: 0 for d in days}\n for r in ok_runs:\n if r.date_key in rec_day:\n rec_day[r.date_key] += r.records_count\n okrun_day[r.date_key] += 1\n\n # -------- KPI (uniquement des mesures réelles) + sparklines\n kpis: list[dict[str, Any]] = []\n\n def kpi(id_, label_, value, unit=\"\", delta=None, invert=False, spark=None):\n d: dict[str, Any] = {\"id\": id_, \"label\": label_, \"value\": value, \"unit\": unit}\n if delta is not None:\n d[\"delta_pct\"] = delta\n good = (delta <= 0) if invert else (delta >= 0)\n d[\"direction\"] = \"up\" if good else \"down\"\n if invert:\n d[\"invert\"] = True\n if spark and len(spark) > 1:\n d[\"spark\"] = _spark(spark)\n kpis.append(d)\n\n kpi(\n \"calls\",\n \"Appels API\",\n total_calls,\n \"\",\n _delta(total_calls, prev_calls),\n spark=calls_pts,\n )\n if not hourly and span > 1:\n kpi(\n \"calls_day\",\n \"Appels par jour (moyenne)\",\n round(total_calls / span, 1),\n \"\",\n _delta(total_calls / span, prev_calls / span if prev_calls else None),\n )\n kpi(\n \"latency\",\n \"Latence moyenne\",\n avg_ms,\n \"ms\",\n _delta(avg_ms, round(prev_avg, 2) if prev_avg else None),\n invert=True,\n spark=avg_pts,\n )\n kpi(\n \"p95\",\n \"Latence p95\",\n p95_ms,\n \"ms\",\n _delta(p95_ms, round(prev_p95, 2) if prev_p95 else None),\n invert=True,\n spark=p95_pts,\n )\n kpi(\n \"errors\",\n \"Taux d'erreur (HTTP ≥ 400)\",\n err_rate,\n \"%\",\n _delta(err_rate, round(prev_err, 2) if prev_err else None),\n invert=True,\n spark=errate_pts,\n )\n kpi(\n \"err5xx\",\n \"Erreurs serveur (5xx)\",\n err5xx,\n \"\",\n _delta(err5xx, prev_err5xx or None),\n invert=True,\n )\n kpi(\n \"endpoints\",\n \"Endpoints actifs\",\n active_endpoints,\n \"\",\n _delta(active_endpoints, prev_endpoints or None),\n )\n kpi(\n \"runs_ok\",\n \"Collectes réussies\",\n len(ok_runs),\n \"\",\n _delta(len(ok_runs), len(prev_ok) or None),\n spark=None\n if hourly\n else [{\"t\": d.isoformat(), \"v\": okrun_day[d]} for d in days],\n )\n kpi(\n \"runs_failed\",\n \"Collectes échouées\",\n len(failed_runs),\n \"\",\n _delta(len(failed_runs), len(prev_failed) or None),\n invert=True,\n )\n kpi(\n \"records\",\n \"Enregistrements collectés\",\n records_total,\n \"\",\n _delta(records_total, prev_records or None),\n spark=None\n if hourly\n else [{\"t\": d.isoformat(), \"v\": rec_day[d]} for d in days],\n )\n if active_services:\n kpi(\"services\", \"Services KA collectés\", active_services)\n\n # -------- jauges : taux & couvertures (données réelles seulement)\n gauges: list[dict[str, Any]] = []\n if total_calls:\n gauges.append(\n {\n \"id\": \"success\",\n \"label\": \"Taux de succès HTTP (statut < 400)\",\n \"value\": round(success / total_calls * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n gauges.append(\n {\n \"id\": \"fast\",\n \"label\": \"Réponses servies en moins de 200 ms\",\n \"value\": round(fast200 / total_calls * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if runs:\n gauges.append(\n {\n \"id\": \"runs\",\n \"label\": \"Taux de réussite des collectes\",\n \"value\": round(len(ok_runs) / len(runs) * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if health:\n ok_h = sum(1 for h in health if h.status == \"ok\")\n gauges.append(\n {\n \"id\": \"connectors\",\n \"label\": f\"Connecteurs de l'écosystème en santé ({ok_h}/{len(health)})\",\n \"value\": round(ok_h / len(health) * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if active_days is not None and span > 1 and total_calls:\n gauges.append(\n {\n \"id\": \"activedays\",\n \"label\": f\"Jours avec trafic API journalisé ({active_days}/{span})\",\n \"value\": round(active_days / span * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n\n # -------- séries temporelles\n series: list[dict[str, Any]] = []\n suffix = \"par heure\" if hourly else \"par jour\"\n\n calls_serie: dict[str, Any] = {\n \"id\": \"calls\",\n \"title\": f\"Appels API {suffix}\",\n \"unit\": \"appels\",\n \"kind\": \"line\",\n \"points\": calls_pts,\n }\n if prev_reqs and not hourly:\n prev_days = _daterange(prev_from, prev_to)\n prev_by = {d: 0 for d in prev_days}\n for r in prev_reqs:\n d = r[0].date()\n if d in prev_by:\n prev_by[d] += 1\n calls_serie[\"compare\"] = [\n {\"t\": d.isoformat(), \"v\": prev_by[d]} for d in prev_days\n ]\n if reqs:\n series.append(calls_serie)\n series.append(\n {\n \"id\": \"errors\",\n \"title\": f\"Erreurs HTTP (≥ 400) {suffix}\",\n \"unit\": \"erreurs\",\n \"kind\": \"bar\",\n \"points\": err_pts,\n }\n )\n series.append(\n {\n \"id\": \"latency\",\n \"title\": f\"Latence moyenne {suffix} (ms)\",\n \"unit\": \"ms\",\n \"kind\": \"line\",\n \"points\": avg_pts,\n }\n )\n if runs and not hourly:\n series.append(\n {\n \"id\": \"records\",\n \"title\": \"Enregistrements collectés par jour\",\n \"unit\": \"enregistrements\",\n \"kind\": \"line\",\n \"points\": [{\"t\": d.isoformat(), \"v\": rec_day[d]} for d in days],\n }\n )\n\n # -------- multi-séries (≤ 4 séries chacune)\n multiseries: list[dict[str, Any]] = []\n if reqs and len(bucket_keys) > 1:\n multiseries.append(\n {\n \"id\": \"lat\",\n \"title\": f\"Latence {suffix} — moyenne vs p95 (ms)\",\n \"unit\": \"ms\",\n \"series\": [\n {\"label\": \"Moyenne\", \"points\": avg_pts},\n {\"label\": \"p95\", \"points\": p95_pts},\n ],\n }\n )\n ep_stats: dict[str, dict[str, Any]] = {}\n for _, _, endpoint, status, dur in reqs:\n s = ep_stats.setdefault(endpoint, {\"calls\": 0, \"durs\": [], \"errors\": 0})\n s[\"calls\"] += 1\n s[\"durs\"].append(dur)\n if status >= 400:\n s[\"errors\"] += 1\n top_eps = sorted(ep_stats.items(), key=lambda kv: kv[1][\"calls\"], reverse=True)\n if len(top_eps) >= 2 and len(bucket_keys) > 1:\n top4 = [ep for ep, _ in top_eps[:4]]\n ep_bucket = {\n ep: {k: 0 for k in bucket_keys} for ep in top4\n }\n for r in reqs:\n if r[2] in ep_bucket:\n key = r[0].hour if hourly else r[0].date()\n if key in ep_bucket[r[2]]:\n ep_bucket[r[2]][key] += 1\n multiseries.append(\n {\n \"id\": \"top_eps\",\n \"title\": f\"Appels {suffix} — top {len(top4)} endpoints\",\n \"unit\": \"appels\",\n \"series\": [\n {\n \"label\": ep,\n \"points\": [\n {\"t\": bucket_labels[i], \"v\": ep_bucket[ep][k]}\n for i, k in enumerate(bucket_keys)\n ],\n }\n for ep in top4\n ],\n }\n )\n\n # -------- barres empilées : composition dans le temps\n stacked: list[dict[str, Any]] = []\n classes = [(\"2xx\", 200, 300), (\"3xx\", 300, 400), (\"4xx\", 400, 500), (\"5xx\", 500, 600)]\n if reqs:\n present = [\n (name, lo, hi)\n for name, lo, hi in classes\n if any(lo <= r[3] < hi for r in reqs)\n ]\n if present:\n stacked.append(\n {\n \"id\": \"status\",\n \"title\": f\"Appels {suffix} par classe de statut HTTP\",\n \"unit\": \"appels\",\n \"keys\": [c[0] for c in present],\n \"points\": [\n {\n \"t\": bucket_labels[i],\n \"values\": [\n sum(1 for r in req_bucket[k] if lo <= r[3] < hi)\n for _, lo, hi in present\n ],\n }\n for i, k in enumerate(bucket_keys)\n ],\n }\n )\n svc_records: dict[str, int] = {}\n for r in ok_runs:\n svc_records[r.service] = svc_records.get(r.service, 0) + r.records_count\n if svc_records and not hourly and len(days) > 1:\n top_svcs = [\n s\n for s, _ in sorted(svc_records.items(), key=lambda kv: kv[1], reverse=True)\n ][:6]\n svc_day = {s: {d: 0 for d in days} for s in top_svcs}\n for r in ok_runs:\n if r.service in svc_day and r.date_key in svc_day[r.service]:\n svc_day[r.service][r.date_key] += r.records_count\n stacked.append(\n {\n \"id\": \"services_day\",\n \"title\": \"Enregistrements collectés par jour et par service\",\n \"unit\": \"enregistrements\",\n \"keys\": [SERVICE_NAMES.get(s, s) for s in top_svcs],\n \"points\": [\n {\n \"t\": d.isoformat(),\n \"values\": [svc_day[s][d] for s in top_svcs],\n }\n for d in days\n ],\n }\n )\n\n # -------- répartitions (avec deltas honnêtes vs période précédente)\n prev_ep_calls: dict[str, int] = {}\n prev_status_cls: dict[str, int] = {}\n prev_methods: dict[str, int] = {}\n for _, method, endpoint, status, _dur in prev_reqs:\n prev_ep_calls[endpoint] = prev_ep_calls.get(endpoint, 0) + 1\n cls = f\"{status // 100}xx\"\n prev_status_cls[cls] = prev_status_cls.get(cls, 0) + 1\n prev_methods[method] = prev_methods.get(method, 0) + 1\n\n breakdowns: list[dict[str, Any]] = []\n if top_eps:\n items = []\n for ep, s in top_eps[:12]:\n it = {\"label\": ep, \"value\": s[\"calls\"]}\n d = _delta(s[\"calls\"], prev_ep_calls.get(ep))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"top_endpoints\",\n \"title\": \"Top endpoints (appels)\",\n \"kind\": \"bars\",\n \"items\": items,\n }\n )\n if reqs:\n status_counts: dict[int, int] = {}\n for r in reqs:\n status_counts[r[3]] = status_counts.get(r[3], 0) + 1\n cls_counts: dict[str, int] = {}\n for st, c in status_counts.items():\n cls = f\"{st // 100}xx\"\n cls_counts[cls] = cls_counts.get(cls, 0) + c\n items = []\n for cls in sorted(cls_counts):\n it = {\"label\": cls, \"value\": cls_counts[cls]}\n d = _delta(cls_counts[cls], prev_status_cls.get(cls))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"status\",\n \"title\": \"Appels par classe de statut HTTP\",\n \"kind\": \"donut\",\n \"items\": items,\n }\n )\n meth_counts: dict[str, int] = {}\n for r in reqs:\n meth_counts[r[1]] = meth_counts.get(r[1], 0) + 1\n items = []\n for m, c in sorted(meth_counts.items(), key=lambda kv: kv[1], reverse=True):\n it = {\"label\": m, \"value\": c}\n d = _delta(c, prev_methods.get(m))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"methods\",\n \"title\": \"Appels par méthode HTTP\",\n \"kind\": \"bars\",\n \"items\": items,\n }\n )\n if svc_records:\n prev_svc: dict[str, int] = {}\n for r in prev_ok:\n prev_svc[r.service] = prev_svc.get(r.service, 0) + r.records_count\n items = []\n for s, v in sorted(svc_records.items(), key=lambda kv: kv[1], reverse=True):\n it = {\"label\": SERVICE_NAMES.get(s, s), \"value\": v}\n d = _delta(v, prev_svc.get(s))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"services\",\n \"title\": \"Enregistrements collectés par service\",\n \"kind\": \"donut\",\n \"items\": items,\n }\n )\n\n # -------- distributions (histogrammes)\n distributions: list[dict[str, Any]] = []\n if durations:\n bins = _hist(durations, LAT_BINS)\n if bins:\n distributions.append(\n {\n \"id\": \"latency_hist\",\n \"title\": \"Distribution des latences (temps de réponse)\",\n \"unit\": \"appels\",\n \"bins\": bins,\n }\n )\n run_durs = [r.duration_seconds for r in runs]\n if run_durs:\n bins = _hist(run_durs, DUR_BINS)\n if bins:\n distributions.append(\n {\n \"id\": \"rundur_hist\",\n \"title\": \"Distribution des durées de collecte\",\n \"unit\": \"runs\",\n \"bins\": bins,\n }\n )\n\n # -------- heatmap calendrier : appels API par jour\n heatmap = None\n if reqs and not hourly:\n cells = [\n {\"date\": k.isoformat(), \"value\": len(req_bucket[k])}\n for k in bucket_keys\n if req_bucket[k]\n ]\n if cells:\n heatmap = {\"title\": \"Appels API par jour\", \"cells\": cells}\n\n # -------- heatmap horaire 7×24 : appels par jour de semaine × heure\n hourly_map = None\n if reqs:\n grid: dict[tuple[int, int], int] = {}\n for r in reqs:\n key = (r[0].weekday(), r[0].hour) # 0 = lundi (contrat SPEC)\n grid[key] = grid.get(key, 0) + 1\n if grid:\n hourly_map = {\n \"title\": \"Appels API par jour de semaine et heure\",\n \"cells\": [\n {\"dow\": dw, \"hour\": h, \"value\": v}\n for (dw, h), v in sorted(grid.items())\n ],\n }\n\n # -------- tableaux\n tables: list[dict[str, Any]] = []\n if top_eps:\n tables.append(\n {\n \"id\": \"endpoints\",\n \"title\": \"Endpoints — appels, latence et erreurs\",\n \"columns\": [\n \"Endpoint\",\n \"Appels\",\n \"Latence moy. (ms)\",\n \"p95 (ms)\",\n \"Erreurs\",\n \"Taux d'erreur\",\n ],\n \"rows\": [\n [\n ep,\n s[\"calls\"],\n round(sum(s[\"durs\"]) / len(s[\"durs\"]), 1),\n round(_p95(s[\"durs\"]), 1),\n s[\"errors\"],\n f\"{s['errors'] / s['calls'] * 100:.1f} %\".replace(\".\", \",\"),\n ]\n for ep, s in top_eps\n ],\n }\n )\n if reqs and len(bucket_keys) > 1:\n rows = []\n for i, k in enumerate(bucket_keys):\n rs = req_bucket[k]\n if not rs and hourly:\n continue\n durs = [r[4] for r in rs]\n rows.append(\n [\n bucket_labels[i],\n len(rs),\n sum(1 for r in rs if r[3] >= 400),\n round(sum(durs) / len(durs), 1) if durs else 0,\n round(_p95(durs), 1) if durs else 0,\n ]\n )\n tables.append(\n {\n \"id\": \"daily\",\n \"title\": \"Activité par heure\" if hourly else \"Activité par jour\",\n \"columns\": [\n \"Heure\" if hourly else \"Date\",\n \"Appels\",\n \"Erreurs\",\n \"Latence moy. (ms)\",\n \"p95 (ms)\",\n ],\n \"rows\": rows,\n }\n )\n if runs:\n svc_agg: dict[str, dict[str, Any]] = {}\n for r in runs:\n a = svc_agg.setdefault(\n r.service, {\"runs\": 0, \"ok\": 0, \"failed\": 0, \"records\": 0, \"durs\": []}\n )\n a[\"runs\"] += 1\n if r.status in (\"success\", \"retried\"):\n a[\"ok\"] += 1\n a[\"records\"] += r.records_count\n else:\n a[\"failed\"] += 1\n a[\"durs\"].append(r.duration_seconds)\n tables.append(\n {\n \"id\": \"services\",\n \"title\": \"Services KA — collectes de la période\",\n \"columns\": [\n \"Service\",\n \"Runs\",\n \"Réussis\",\n \"Échoués\",\n \"Enregistrements\",\n \"Durée moy. (s)\",\n ],\n \"rows\": [\n [\n SERVICE_NAMES.get(s, s),\n a[\"runs\"],\n a[\"ok\"],\n a[\"failed\"],\n a[\"records\"],\n round(sum(a[\"durs\"]) / len(a[\"durs\"]), 1),\n ]\n for s, a in sorted(\n svc_agg.items(), key=lambda kv: kv[1][\"records\"], reverse=True\n )\n ],\n }\n )\n tables.append(\n {\n \"id\": \"runs\",\n \"title\": \"Derniers runs de collecte\",\n \"columns\": [\"Service\", \"Date\", \"Statut\", \"Enregistrements\", \"Durée (s)\"],\n \"rows\": [\n [\n SERVICE_NAMES.get(r.service, r.service),\n r.date_key.isoformat(),\n RUN_STATUS_FR.get(r.status, r.status),\n r.records_count,\n round(r.duration_seconds, 1),\n ]\n for r in runs[:80]\n ],\n }\n )\n if health:\n tables.append(\n {\n \"id\": \"connectors\",\n \"title\": \"État des connecteurs supervisés (temps réel)\",\n \"columns\": [\n \"Service\",\n \"Source\",\n \"Statut\",\n \"Dernier succès\",\n \"Échecs consécutifs\",\n ],\n \"rows\": [\n [\n SERVICE_NAMES.get(h.service, h.service),\n h.source,\n HEALTH_FR.get(h.status, h.status),\n (\n h.last_success.astimezone(TZ).strftime(\"%Y-%m-%d %H:%M\")\n if h.last_success\n else \"—\"\n ),\n h.consecutive_failures,\n ]\n for h in sorted(\n health,\n key=lambda h: (h.status == \"ok\", h.service, h.source),\n )\n ],\n }\n )\n\n # -------- records & faits marquants (6-12, générés depuis les données)\n records: list[dict[str, Any]] = []\n if reqs and not hourly:\n best_day = max(bucket_keys, key=lambda k: len(req_bucket[k]))\n if req_bucket[best_day]:\n records.append(\n {\n \"label\": \"Jour record d'appels API\",\n \"value\": f\"{_fr_int(len(req_bucket[best_day]))} appels\",\n \"date\": best_day.isoformat(),\n }\n )\n if hourly_map:\n top_cell = max(hourly_map[\"cells\"], key=lambda c: c[\"value\"])\n dows = [\"lundi\", \"mardi\", \"mercredi\", \"jeudi\", \"vendredi\", \"samedi\", \"dimanche\"]\n records.append(\n {\n \"label\": \"Créneau horaire le plus actif\",\n \"value\": (\n f\"{dows[top_cell['dow']]} {top_cell['hour']:02d}h — \"\n f\"{_fr_int(top_cell['value'])} appels\"\n ),\n }\n )\n if top_eps:\n records.append(\n {\n \"label\": \"Endpoint le plus sollicité\",\n \"value\": f\"{top_eps[0][0]} — {_fr_int(top_eps[0][1]['calls'])} appels\",\n }\n )\n grow = [\n (ep, _delta(s[\"calls\"], prev_ep_calls.get(ep)))\n for ep, s in top_eps\n if prev_ep_calls.get(ep, 0) >= 5\n ]\n grow = [(ep, d) for ep, d in grow if d is not None and d > 0]\n if grow:\n ep, d = max(grow, key=lambda kv: kv[1])\n records.append(\n {\n \"label\": \"Plus forte croissance d'endpoint\",\n \"value\": f\"{ep} — +{_fr_num(d)} %\",\n }\n )\n if durations:\n records.append(\n {\n \"label\": \"Réponse la plus rapide de la période\",\n \"value\": f\"{_fr_num(round(min(durations), 1))} ms\",\n }\n )\n records.append(\n {\n \"label\": \"Réponse la plus lente de la période\",\n \"value\": f\"{_fr_num(round(max(durations), 1))} ms\",\n }\n )\n if reqs and not hourly:\n clean_days = [\n k\n for k in bucket_keys\n if req_bucket[k] and not any(r[3] >= 400 for r in req_bucket[k])\n ]\n if clean_days:\n best = max(clean_days, key=lambda k: len(req_bucket[k]))\n records.append(\n {\n \"label\": \"Meilleure journée sans erreur HTTP\",\n \"value\": f\"{_fr_int(len(req_bucket[best]))} appels, 0 erreur\",\n \"date\": best.isoformat(),\n }\n )\n if ok_runs:\n biggest = max(ok_runs, key=lambda r: r.records_count)\n records.append(\n {\n \"label\": \"Run de collecte le plus volumineux\",\n \"value\": (\n f\"{_fr_int(biggest.records_count)} enregistrements \"\n f\"({SERVICE_NAMES.get(biggest.service, biggest.service)})\"\n ),\n \"date\": biggest.date_key.isoformat(),\n }\n )\n fastest = min(ok_runs, key=lambda r: r.duration_seconds)\n records.append(\n {\n \"label\": \"Collecte la plus rapide\",\n \"value\": (\n f\"{fastest.duration_seconds:.1f} s \"\n f\"({SERVICE_NAMES.get(fastest.service, fastest.service)})\"\n ).replace(\".\", \",\"),\n \"date\": fastest.date_key.isoformat(),\n }\n )\n total_logged = db.execute(select(func.count(ApiRequest.id))).scalar() or 0\n if total_logged:\n records.append(\n {\n \"label\": \"Appels journalisés au total (90 jours de rétention)\",\n \"value\": f\"{_fr_int(total_logged)} appels\",\n }\n )\n\n # -------- couverture de mesure (depuis quand les appels sont journalisés)\n first_req = db.execute(select(func.min(ApiRequest.ts))).scalar()\n if first_req is not None and first_req.tzinfo is None:\n first_req = first_req.replace(tzinfo=datetime.UTC)\n\n dash: dict[str, Any] = {\n \"updated\": datetime.datetime.now(tz=TZ).isoformat(timespec=\"seconds\"),\n \"period\": {\"from\": d_from.isoformat(), \"to\": d_to.isoformat(), \"label\": label},\n \"kpis\": kpis,\n \"series\": series,\n \"breakdowns\": breakdowns,\n \"tables\": tables,\n \"records\": records,\n \"coverage\": {\n \"api_requests_since\": (\n first_req.astimezone(TZ).isoformat(timespec=\"seconds\")\n if first_req\n else None\n )\n },\n }\n if gauges:\n dash[\"gauges\"] = gauges\n if multiseries:\n dash[\"multiseries\"] = multiseries\n if stacked:\n dash[\"stacked\"] = stacked\n if distributions:\n dash[\"distributions\"] = distributions\n if heatmap:\n dash[\"heatmap\"] = heatmap\n if hourly_map:\n dash[\"hourly\"] = hourly_map\n return dash\n\n\ndef _dashboard_cached(\n db: Session,\n period: str,\n date_from: datetime.date | None,\n date_to: datetime.date | None,\n) -> dict[str, Any]:\n d_from, d_to, label = _resolve_period(period, date_from, date_to, db)\n key = (period, d_from.isoformat(), d_to.isoformat())\n now = time.monotonic()\n with _cache_lock:\n hit = _cache.get(key)\n if hit and now - hit[0] < CACHE_TTL:\n return hit[1]\n dash = _build_dashboard(db, period, d_from, d_to, label)\n with _cache_lock:\n if len(_cache) > 64:\n _cache.clear()\n _cache[key] = (now, dash)\n return dash\n\n\ndef _normalize_mode(mode: str | None) -> str:\n \"\"\"SPEC v2 : un mode inconnu ou absent retombe sur ``complet``.\"\"\"\n m = (mode or \"\").strip().lower()\n return m if m in kapdf.REPORT_MODES else \"complet\"\n\n\n# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")\ndef stats_dashboard(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n db: Session = Depends(get_db),\n) -> dict[str, Any]:\n \"\"\"Tableau de bord analytique de la plateforme (contrat commun Groupe KA).\"\"\"\n return envelope(_dashboard_cached(db, period, date_from, date_to))\n\n\n@router.get(\"/report\")\ndef stats_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n mode: str = Query(\n \"complet\",\n description=\"complet, synthese, tendances, repartitions ou donnees\",\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport statistique PDF estampillé Groupe-KA (5 rapports, SPEC v2).\"\"\"\n mode = _normalize_mode(mode)\n dash = _dashboard_cached(db, period, date_from, date_to)\n pdf_bytes = kapdf.GroupeKAReport(site=SITE, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(PLATFORM_ID, period, mode)\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n\n# ------------------------------------------------- rapport écosystème (PDF)\nasync def _fetch_satellite_dashboard(\n client: httpx.AsyncClient, site: dict, period: str\n) -> dict[str, Any]:\n \"\"\"Dashboard d'une plateforme sœur — jamais d'exception : une plateforme\n injoignable est retournée avec ``dashboard=None`` et un motif lisible.\"\"\"\n url = f\"https://{site['domain']}/api/stats/dashboard\"\n try:\n resp = await client.get(url, params={\"period\": period})\n resp.raise_for_status()\n payload = resp.json()\n # certaines plateformes enveloppent la réponse ({success, data, meta})\n if (\n isinstance(payload, dict)\n and \"kpis\" not in payload\n and isinstance(payload.get(\"data\"), dict)\n ):\n payload = payload[\"data\"]\n if not isinstance(payload, dict) or not payload.get(\"kpis\"):\n raise ValueError(\"réponse hors contrat (kpis manquants)\")\n return {\"site\": site, \"dashboard\": payload, \"error\": None}\n except httpx.TimeoutException:\n return {\"site\": site, \"dashboard\": None, \"error\": \"délai dépassé (15 s)\"}\n except httpx.HTTPStatusError as exc:\n return {\n \"site\": site,\n \"dashboard\": None,\n \"error\": f\"HTTP {exc.response.status_code}\",\n }\n except Exception as exc: # noqa: BLE001 — motif affiché dans le PDF\n return {\n \"site\": site,\n \"dashboard\": None,\n \"error\": (str(exc) or exc.__class__.__name__)[:80],\n }\n\n\n@router.get(\"/ecosystem-report\")\nasync def stats_ecosystem_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n mode: str | None = Query(\n None,\n description=(\n \"complet, synthese, tendances, repartitions ou donnees \"\n \"(optionnel — inconnu ou absent = complet)\"\n ),\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport écosystème Groupe-KA : UN SEUL PDF consolidant les 12 plateformes.\n\n Les dashboards des plateformes sœurs sont récupérés en parallèle\n (httpx, délai 15 s), celui d'API-KA est calculé en local. Le ``mode``\n (5 rapports du contrat v2) est passé au moteur ; un mode inconnu ou\n absent retombe sur ``complet``. Cache 10 min par (période, mode).\"\"\"\n mode = _normalize_mode(mode)\n if period not in PERIOD_LABELS:\n raise HTTPException(\n status_code=422,\n detail=f\"Période invalide : {period}. Valides : {', '.join(PERIOD_LABELS)}\",\n )\n\n fname = kapdf.filename(\"ecosysteme\", period, mode)\n\n def _pdf_response(pdf_bytes: bytes, fname: str) -> Response:\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n key = (period, mode)\n now = time.monotonic()\n with _eco_lock:\n hit = _eco_cache.get(key)\n if hit and now - hit[0] < ECO_CACHE_TTL:\n return _pdf_response(hit[1], hit[2])\n\n satellites = [s for s in ECO_SITES if s[\"id\"] != PLATFORM_ID]\n own_site = next(s for s in ECO_SITES if s[\"id\"] == PLATFORM_ID)\n async with httpx.AsyncClient(\n timeout=ECO_FETCH_TIMEOUT,\n follow_redirects=True,\n headers={\n \"accept\": \"application/json\",\n \"user-agent\": \"apika-ecosystem-report/1.0 (+https://www.api-ka.com)\",\n },\n ) as client:\n results = await asyncio.gather(\n *(_fetch_satellite_dashboard(client, s, period) for s in satellites)\n )\n\n def _build() -> bytes:\n try:\n own = {\n \"site\": own_site,\n \"dashboard\": _dashboard_cached(db, period, None, None),\n \"error\": None,\n }\n except Exception as exc: # noqa: BLE001\n own = {\"site\": own_site, \"dashboard\": None, \"error\": str(exc)[:80]}\n platforms = [*results, own]\n eco_period = next(\n (\n pl[\"dashboard\"][\"period\"]\n for pl in platforms\n if pl[\"dashboard\"] and pl[\"dashboard\"].get(\"period\")\n ),\n {\"label\": PERIOD_LABELS[period]},\n )\n return ecopdf.EcosystemReport(\n platforms=platforms, period=eco_period, mode=mode\n ).build()\n\n pdf_bytes = await asyncio.to_thread(_build)\n with _eco_lock:\n if len(_eco_cache) > 32:\n _eco_cache.clear()\n _eco_cache[key] = (now, pdf_bytes, fname)\n return _pdf_response(pdf_bytes, fname)\n","structuredPatch":[{"oldStart":177,"oldLines":6,"newStart":177,"newLines":13,"lines":[" "," "," # ---------------------------------------------------------------- agrégats","+# Endpoints « bruit » exclus des métriques du tableau de bord : chemins","+# inconnus sondés par les scanners/bots (404, .env, etc.). Ils restent","+# journalisés dans api_requests pour la visibilité sécurité, mais ne doivent","+# pas polluer le taux d'erreur qui mesure la santé réelle de l'API.","+NOISE_ENDPOINTS = (\"(autre)\", \"/api/v1/(autre)\")","+","+"," def _fetch_requests("," db: Session, d_from: datetime.date, d_to: datetime.date"," ) -> list[tuple[datetime.datetime, str, str, int, float]]:"]},{"oldStart":189,"oldLines":7,"newStart":196,"newLines":11,"lines":[" ApiRequest.endpoint,"," ApiRequest.status,"," ApiRequest.duration_ms,","- ).where(ApiRequest.ts >= lo, ApiRequest.ts < hi)","+ ).where(","+ ApiRequest.ts >= lo,","+ ApiRequest.ts < hi,","+ ApiRequest.endpoint.notin_(NOISE_ENDPOINTS),","+ )"," ).all()"," out = []"," for ts, method, endpoint, status, duration in rows:"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"242d144d-29b6-4159-9879-be29efebc22b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5m7KfhJaZhnVeQK5LD","type":"message","role":"assistant","content":[{"type":"text","text":"Maintenant j'ajoute l'endpoint `GET /api/stats` (résumé compact, standard KA) dans stats.py."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":859,"cache_read_input_tokens":89430,"cache_creation":{"ephemeral_5m_input_tokens":859,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fd171d0e-b0ac-4e88-b869-e39ab8c72832","request_id":"req_011CeK5m5nPptxsTg92QTmdZ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5m7KfhJaZhnVeQK5LD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ASiYN6emSiwbHPoBTzvaHy","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/stats.py","old_string":"# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")","new_string":"# ---------------------------------------------------------------- routes\n@router.get(\"\")\ndef stats_summary(db: Session = Depends(get_db)) -> dict[str, Any]:\n \"\"\"Résumé compact de la plateforme (contrat léger /api/stats commun KA).\n\n Version allégée du tableau de bord pour les moniteurs et les apps sœurs :\n activité API 7 jours, runs de collecte, dernier run par service et santé\n des connecteurs supervisés.\n \"\"\"\n today = datetime.datetime.now(TZ).date()\n d_from = today - datetime.timedelta(days=6)\n reqs = _fetch_requests(db, d_from, today)\n runs = _fetch_runs(db, d_from, today)\n health = _fetch_health(db)\n errors = sum(1 for r in reqs if r[3] >= 400)\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n last_run: dict[str, Any] = {}\n for r in runs: # triés par started_at décroissant\n if r.service not in last_run:\n last_run[r.service] = {\n \"date\": r.date_key.isoformat(),\n \"status\": r.status,\n \"records\": r.records_count,\n }\n connectors = dict.fromkeys((\"ok\", \"degraded\", \"broken\", \"stale\"), 0)\n for h in health:\n if h.status in connectors:\n connectors[h.status] += 1\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"period\": {\"from\": d_from.isoformat(), \"to\": today.isoformat()},\n \"api\": {\n \"calls_7d\": len(reqs),\n \"error_rate_7d\": round(errors / len(reqs) * 100, 2) if reqs else 0.0,\n },\n \"runs_7d\": {\n \"total\": len(runs),\n \"ok\": len(ok_runs),\n \"failed\": sum(1 for r in runs if r.status == \"failed\"),\n \"records\": sum(r.records_count for r in ok_runs),\n },\n \"last_run\": last_run,\n \"connectors\": connectors,\n }\n )\n\n\n@router.get(\"/dashboard\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":859,"cache_read_input_tokens":89430,"cache_creation":{"ephemeral_5m_input_tokens":859,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c837ca99-449f-4def-951d-b9634a39f036","request_id":"req_011CeK5m5nPptxsTg92QTmdZ"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ASiYN6emSiwbHPoBTzvaHy","type":"tool_result","content":"The file /tmp/apika-fix/stats.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"43716d9e-a824-4144-8afe-b61fbc12c0e2","timestamp":"2026-08-23T04:54:24.915Z","tool_use_result":{"filePath":"/tmp/apika-fix/stats.py","oldString":"# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")","newString":"# ---------------------------------------------------------------- routes\n@router.get(\"\")\ndef stats_summary(db: Session = Depends(get_db)) -> dict[str, Any]:\n \"\"\"Résumé compact de la plateforme (contrat léger /api/stats commun KA).\n\n Version allégée du tableau de bord pour les moniteurs et les apps sœurs :\n activité API 7 jours, runs de collecte, dernier run par service et santé\n des connecteurs supervisés.\n \"\"\"\n today = datetime.datetime.now(TZ).date()\n d_from = today - datetime.timedelta(days=6)\n reqs = _fetch_requests(db, d_from, today)\n runs = _fetch_runs(db, d_from, today)\n health = _fetch_health(db)\n errors = sum(1 for r in reqs if r[3] >= 400)\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n last_run: dict[str, Any] = {}\n for r in runs: # triés par started_at décroissant\n if r.service not in last_run:\n last_run[r.service] = {\n \"date\": r.date_key.isoformat(),\n \"status\": r.status,\n \"records\": r.records_count,\n }\n connectors = dict.fromkeys((\"ok\", \"degraded\", \"broken\", \"stale\"), 0)\n for h in health:\n if h.status in connectors:\n connectors[h.status] += 1\n return envelope(\n {\n \"platform\": \"API-KA\",\n \"period\": {\"from\": d_from.isoformat(), \"to\": today.isoformat()},\n \"api\": {\n \"calls_7d\": len(reqs),\n \"error_rate_7d\": round(errors / len(reqs) * 100, 2) if reqs else 0.0,\n },\n \"runs_7d\": {\n \"total\": len(runs),\n \"ok\": len(ok_runs),\n \"failed\": sum(1 for r in runs if r.status == \"failed\"),\n \"records\": sum(r.records_count for r in ok_runs),\n },\n \"last_run\": last_run,\n \"connectors\": connectors,\n }\n )\n\n\n@router.get(\"/dashboard\")","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/api/routes/stats.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-19\n# ============================================\n\"\"\"Routes /api/stats : tableau de bord analytique de la plateforme + rapports PDF.\n\nContrat commun Groupe KA v2 (src/api/web/ka/stats/SPEC.md) :\n- ``GET /api/stats/dashboard?period=…`` → JSON (KPI + sparklines, jauges,\n séries, multi-séries, empilées, répartitions avec deltas, distributions,\n heatmap calendrier + horaire 7×24, tableaux, records) calculé depuis les\n données réelles : table ``api_requests`` (journal du middleware),\n ``collection_runs`` et ``connector_health``.\n- ``GET /api/stats/report?period=…&mode=complet|synthese|tendances|\n repartitions|donnees`` → PDF Groupe-KA (moteur kapdf v2, 5 rapports —\n un mode inconnu retombe sur ``complet``).\n- ``GET /api/stats/ecosystem-report?period=…&mode=…`` → UN SEUL PDF\n consolidant les 12 plateformes de l'écosystème : les dashboards des\n plateformes sœurs sont lus en parallèle (httpx, 15 s), le sien en local ;\n une plateforme injoignable devient une section « données indisponibles ».\n ``mode`` optionnel (mêmes 5 modes, inconnu ou absent → complet).\n\nCache serveur : 5 minutes par période. Aucune stat inventée : une section\nsans données est simplement absente (le front affiche « Pas encore mesuré »).\n\"\"\"\n\nfrom __future__ import annotations\n\nimport asyncio\nimport datetime\nimport json\nimport threading\nimport time\nfrom pathlib import Path\nfrom typing import Any\nfrom zoneinfo import ZoneInfo\n\nimport httpx\nfrom fastapi import APIRouter, Depends, HTTPException, Query, Response\nfrom sqlalchemy import func, select\nfrom sqlalchemy.orm import Session\n\nfrom src.api import ecopdf, kapdf\nfrom src.api.routes import envelope\nfrom src.database.db import get_db\nfrom src.database.models import ApiRequest, CollectionRun, ConnectorHealth\n\nrouter = APIRouter(prefix=\"/api/stats\", tags=[\"stats\"])\n\nTZ = ZoneInfo(\"America/Toronto\")\nCACHE_TTL = 300.0 # ≥ 5 min (SPEC)\nPLATFORM_ID = \"api-ka\"\n\nSITE = {\n \"wordmark\": \"API·Ka\",\n \"accent\": \"#3b5bdb\",\n \"domain\": \"www.api-ka.com\",\n \"tagline\": \"Plateforme centrale de l'écosystème Groupe KA\",\n}\n\nSERVICE_NAMES = {\n \"louka\": \"Lou·Ka\",\n \"immoka\": \"Immo·Ka\",\n \"foodka\": \"Food·Ka\",\n \"autoka\": \"Auto·Ka\",\n \"fabrika\": \"Fabri·Ka\",\n \"restoka\": \"Resto·Ka\",\n \"sortika\": \"Sorti·Ka\",\n \"creaka\": \"Créa·Ka\",\n \"jobka\": \"Job·Ka\",\n}\n\nPERIOD_LABELS = {\n \"auj\": \"aujourd'hui\",\n \"7j\": \"7 jours\",\n \"30j\": \"30 jours\",\n \"3m\": \"3 mois\",\n \"6m\": \"6 mois\",\n \"12m\": \"12 mois\",\n \"annee\": \"année en cours\",\n \"tout\": \"toute la période\",\n}\nPERIOD_DAYS = {\"7j\": 7, \"30j\": 30, \"3m\": 91, \"6m\": 182, \"12m\": 365}\n\nRUN_STATUS_FR = {\"success\": \"succès\", \"failed\": \"échec\", \"retried\": \"relancé\"}\nHEALTH_FR = {\"ok\": \"OK\", \"degraded\": \"dégradé\", \"broken\": \"en panne\", \"stale\": \"périmé\"}\nLAT_BINS = [\n (0, 25, \"< 25 ms\"),\n (25, 50, \"25-50 ms\"),\n (50, 100, \"50-100 ms\"),\n (100, 200, \"100-200 ms\"),\n (200, 500, \"200-500 ms\"),\n (500, 1000, \"0,5-1 s\"),\n (1000, 2000, \"1-2 s\"),\n (2000, float(\"inf\"), \"> 2 s\"),\n]\nDUR_BINS = [\n (0, 1, \"< 1 s\"),\n (1, 5, \"1-5 s\"),\n (5, 15, \"5-15 s\"),\n (15, 30, \"15-30 s\"),\n (30, 60, \"30-60 s\"),\n (60, float(\"inf\"), \"> 60 s\"),\n]\n\n_cache: dict[tuple, tuple[float, dict]] = {}\n_cache_lock = threading.Lock()\n\n# ------------------------------------------------------ rapport écosystème\nECO_CACHE_TTL = 600.0 # 10 min par (period, mode)\nECO_FETCH_TIMEOUT = 15.0\n_eco_cache: dict[tuple[str, str], tuple[float, bytes, str]] = {}\n_eco_lock = threading.Lock()\n\n_ECOSYSTEM_JSON = Path(__file__).resolve().parents[1] / \"web\" / \"ka\" / \"ecosystem.json\"\n# Les 11 plateformes de données (le hub groupe-ka n'expose pas de dashboard).\nECO_SITES: list[dict] = [\n s\n for s in json.loads(_ECOSYSTEM_JSON.read_text(encoding=\"utf-8\"))[\"sites\"]\n if s[\"id\"] != \"groupe-ka\"\n]\n\n\n# ---------------------------------------------------------------- périodes\ndef _resolve_period(\n period: str,\n date_from: datetime.date | None,\n date_to: datetime.date | None,\n db: Session,\n) -> tuple[datetime.date, datetime.date, str]:\n \"\"\"Résout (from, to, label) en dates locales America/Toronto.\"\"\"\n today = datetime.datetime.now(tz=TZ).date()\n if date_from and date_to:\n if date_from > date_to:\n raise HTTPException(status_code=422, detail=\"from doit précéder to\")\n return date_from, date_to, f\"du {date_from} au {date_to}\"\n if period == \"auj\":\n return today, today, PERIOD_LABELS[\"auj\"]\n if period == \"annee\":\n return datetime.date(today.year, 1, 1), today, PERIOD_LABELS[\"annee\"]\n if period == \"tout\":\n firsts = [\n db.execute(select(func.min(ApiRequest.ts))).scalar(),\n db.execute(select(func.min(CollectionRun.started_at))).scalar(),\n ]\n dates = []\n for f in firsts:\n if f is not None:\n if f.tzinfo is None:\n f = f.replace(tzinfo=datetime.UTC)\n dates.append(f.astimezone(TZ).date())\n return (min(dates) if dates else today), today, PERIOD_LABELS[\"tout\"]\n if period in PERIOD_DAYS:\n return (\n today - datetime.timedelta(days=PERIOD_DAYS[period] - 1),\n today,\n PERIOD_LABELS[period],\n )\n raise HTTPException(\n status_code=422,\n detail=f\"Période invalide : {period}. Valides : {', '.join(PERIOD_LABELS)}\",\n )\n\n\ndef _utc_bounds(\n d_from: datetime.date, d_to: datetime.date\n) -> tuple[datetime.datetime, datetime.datetime]:\n \"\"\"Bornes UTC [00:00 from, 24:00 to] exprimées depuis les dates locales.\"\"\"\n start = datetime.datetime.combine(d_from, datetime.time.min, tzinfo=TZ)\n end = datetime.datetime.combine(\n d_to + datetime.timedelta(days=1), datetime.time.min, tzinfo=TZ\n )\n return start.astimezone(datetime.UTC), end.astimezone(datetime.UTC)\n\n\n# ---------------------------------------------------------------- agrégats\n# Endpoints « bruit » exclus des métriques du tableau de bord : chemins\n# inconnus sondés par les scanners/bots (404, .env, etc.). Ils restent\n# journalisés dans api_requests pour la visibilité sécurité, mais ne doivent\n# pas polluer le taux d'erreur qui mesure la santé réelle de l'API.\nNOISE_ENDPOINTS = (\"(autre)\", \"/api/v1/(autre)\")\n\n\ndef _fetch_requests(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[tuple[datetime.datetime, str, str, int, float]]:\n \"\"\"Requêtes API de la fenêtre : (ts local, méthode, endpoint, statut, ms).\"\"\"\n lo, hi = _utc_bounds(d_from, d_to)\n rows = db.execute(\n select(\n ApiRequest.ts,\n ApiRequest.method,\n ApiRequest.endpoint,\n ApiRequest.status,\n ApiRequest.duration_ms,\n ).where(\n ApiRequest.ts >= lo,\n ApiRequest.ts < hi,\n ApiRequest.endpoint.notin_(NOISE_ENDPOINTS),\n )\n ).all()\n out = []\n for ts, method, endpoint, status, duration in rows:\n if ts.tzinfo is None:\n ts = ts.replace(tzinfo=datetime.UTC)\n out.append((ts.astimezone(TZ), method or \"GET\", endpoint, status, duration or 0.0))\n return out\n\n\ndef _fetch_runs(\n db: Session, d_from: datetime.date, d_to: datetime.date\n) -> list[CollectionRun]:\n \"\"\"Runs de collecte de la fenêtre (par date logique ``date_key``).\"\"\"\n return (\n db.execute(\n select(CollectionRun)\n .where(CollectionRun.date_key >= d_from, CollectionRun.date_key <= d_to)\n .order_by(CollectionRun.started_at.desc())\n )\n .scalars()\n .all()\n )\n\n\ndef _fetch_health(db: Session) -> list[ConnectorHealth]:\n \"\"\"État courant des connecteurs supervisés (hors ligne virtuelle _app).\"\"\"\n return (\n db.execute(\n select(ConnectorHealth)\n .where(ConnectorHealth.source != \"_app\")\n .order_by(ConnectorHealth.service, ConnectorHealth.source)\n )\n .scalars()\n .all()\n )\n\n\ndef _p95(values: list[float]) -> float:\n if not values:\n return 0.0\n vs = sorted(values)\n idx = max(0, int(round(0.95 * (len(vs) - 1))))\n return vs[idx]\n\n\ndef _delta(cur: float, prev: float | None) -> float | None:\n if prev is None or prev == 0:\n return None\n return round((cur - prev) / prev * 100, 1)\n\n\ndef _daterange(d_from: datetime.date, d_to: datetime.date) -> list[datetime.date]:\n n = (d_to - d_from).days + 1\n return [d_from + datetime.timedelta(days=i) for i in range(n)]\n\n\ndef _fr_int(n: float) -> str:\n return f\"{int(n):,}\".replace(\",\", \" \")\n\n\ndef _fr_num(n: float) -> str:\n if isinstance(n, float) and not float(n).is_integer():\n return f\"{n:,.1f}\".replace(\",\", \" \").replace(\".\", \",\")\n return _fr_int(n)\n\n\ndef _spark(points: list[dict], max_pts: int = 40) -> list[dict]:\n \"\"\"Sous-échantillonne une série pour la sparkline d'un KPI (≤ max_pts).\"\"\"\n if len(points) <= max_pts:\n return points\n step = len(points) / max_pts\n out = [points[min(len(points) - 1, int(i * step))] for i in range(max_pts)]\n if out[-1] is not points[-1]:\n out[-1] = points[-1]\n return out\n\n\ndef _hist(values: list[float], bins) -> list[dict]:\n out = []\n for lo, hi, label in bins:\n c = sum(1 for v in values if lo <= v < hi)\n out.append({\"label\": label, \"value\": c})\n while out and out[-1][\"value\"] == 0:\n out.pop()\n return out\n\n\n# ---------------------------------------------------------------- dashboard\ndef _build_dashboard(db: Session, period: str, d_from, d_to, label) -> dict[str, Any]:\n \"\"\"Calcule le JSON complet du contrat SPEC v2 depuis les données réelles.\"\"\"\n hourly = period == \"auj\" or d_from == d_to\n span = (d_to - d_from).days + 1\n prev_to = d_from - datetime.timedelta(days=1)\n prev_from = prev_to - datetime.timedelta(days=span - 1)\n\n reqs = _fetch_requests(db, d_from, d_to)\n prev_reqs = _fetch_requests(db, prev_from, prev_to)\n runs = _fetch_runs(db, d_from, d_to)\n prev_runs = _fetch_runs(db, prev_from, prev_to)\n health = _fetch_health(db)\n\n days = _daterange(d_from, d_to)\n\n # -------- seaux temporels (jour, ou heure quand la fenêtre = 1 jour)\n if hourly:\n bucket_keys: list = list(range(24))\n bucket_labels = [f\"{h:02d}h\" for h in range(24)]\n req_bucket = {i: [] for i in bucket_keys}\n for r in reqs:\n req_bucket[r[0].hour].append(r)\n else:\n bucket_keys = days\n bucket_labels = [d.isoformat() for d in days]\n req_bucket = {d: [] for d in days}\n for r in reqs:\n d = r[0].date()\n if d in req_bucket:\n req_bucket[d].append(r)\n\n def per_bucket(fn) -> list[dict]:\n return [\n {\"t\": bucket_labels[i], \"v\": fn(req_bucket[k])}\n for i, k in enumerate(bucket_keys)\n ]\n\n calls_pts = per_bucket(len)\n err_pts = per_bucket(lambda rs: sum(1 for r in rs if r[3] >= 400))\n avg_pts = per_bucket(\n lambda rs: round(sum(r[4] for r in rs) / len(rs), 1) if rs else 0\n )\n p95_pts = per_bucket(lambda rs: round(_p95([r[4] for r in rs]), 1) if rs else 0)\n errate_pts = per_bucket(\n lambda rs: round(sum(1 for r in rs if r[3] >= 400) / len(rs) * 100, 1)\n if rs\n else 0\n )\n\n # -------- agrégats requêtes API (période courante)\n total_calls = len(reqs)\n durations = [r[4] for r in reqs]\n avg_ms = round(sum(durations) / total_calls, 2) if total_calls else 0.0\n p95_ms = round(_p95(durations), 2)\n errors = sum(1 for r in reqs if r[3] >= 400)\n err5xx = sum(1 for r in reqs if r[3] >= 500)\n err_rate = round(errors / total_calls * 100, 2) if total_calls else 0.0\n success = total_calls - errors\n fast200 = sum(1 for d in durations if d < 200)\n active_endpoints = len({r[2] for r in reqs})\n active_days = sum(1 for k in bucket_keys if req_bucket[k]) if not hourly else None\n\n # -------- agrégats requêtes API (période précédente, pour les deltas)\n prev_calls = len(prev_reqs)\n prev_durs = [r[4] for r in prev_reqs]\n prev_avg = (sum(prev_durs) / prev_calls) if prev_calls else None\n prev_p95 = _p95(prev_durs) if prev_calls else None\n prev_errors = sum(1 for r in prev_reqs if r[3] >= 400)\n prev_err5xx = sum(1 for r in prev_reqs if r[3] >= 500)\n prev_err = (prev_errors / prev_calls * 100) if prev_calls else None\n prev_endpoints = len({r[2] for r in prev_reqs})\n\n # -------- agrégats runs de collecte\n ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]\n failed_runs = [r for r in runs if r.status == \"failed\"]\n records_total = sum(r.records_count for r in ok_runs)\n active_services = len({r.service for r in runs})\n prev_ok = [r for r in prev_runs if r.status in (\"success\", \"retried\")]\n prev_failed = [r for r in prev_runs if r.status == \"failed\"]\n prev_records = sum(r.records_count for r in prev_ok)\n\n rec_day: dict[datetime.date, int] = {d: 0 for d in days}\n okrun_day: dict[datetime.date, int] = {d: 0 for d in days}\n for r in ok_runs:\n if r.date_key in rec_day:\n rec_day[r.date_key] += r.records_count\n okrun_day[r.date_key] += 1\n\n # -------- KPI (uniquement des mesures réelles) + sparklines\n kpis: list[dict[str, Any]] = []\n\n def kpi(id_, label_, value, unit=\"\", delta=None, invert=False, spark=None):\n d: dict[str, Any] = {\"id\": id_, \"label\": label_, \"value\": value, \"unit\": unit}\n if delta is not None:\n d[\"delta_pct\"] = delta\n good = (delta <= 0) if invert else (delta >= 0)\n d[\"direction\"] = \"up\" if good else \"down\"\n if invert:\n d[\"invert\"] = True\n if spark and len(spark) > 1:\n d[\"spark\"] = _spark(spark)\n kpis.append(d)\n\n kpi(\n \"calls\",\n \"Appels API\",\n total_calls,\n \"\",\n _delta(total_calls, prev_calls),\n spark=calls_pts,\n )\n if not hourly and span > 1:\n kpi(\n \"calls_day\",\n \"Appels par jour (moyenne)\",\n round(total_calls / span, 1),\n \"\",\n _delta(total_calls / span, prev_calls / span if prev_calls else None),\n )\n kpi(\n \"latency\",\n \"Latence moyenne\",\n avg_ms,\n \"ms\",\n _delta(avg_ms, round(prev_avg, 2) if prev_avg else None),\n invert=True,\n spark=avg_pts,\n )\n kpi(\n \"p95\",\n \"Latence p95\",\n p95_ms,\n \"ms\",\n _delta(p95_ms, round(prev_p95, 2) if prev_p95 else None),\n invert=True,\n spark=p95_pts,\n )\n kpi(\n \"errors\",\n \"Taux d'erreur (HTTP ≥ 400)\",\n err_rate,\n \"%\",\n _delta(err_rate, round(prev_err, 2) if prev_err else None),\n invert=True,\n spark=errate_pts,\n )\n kpi(\n \"err5xx\",\n \"Erreurs serveur (5xx)\",\n err5xx,\n \"\",\n _delta(err5xx, prev_err5xx or None),\n invert=True,\n )\n kpi(\n \"endpoints\",\n \"Endpoints actifs\",\n active_endpoints,\n \"\",\n _delta(active_endpoints, prev_endpoints or None),\n )\n kpi(\n \"runs_ok\",\n \"Collectes réussies\",\n len(ok_runs),\n \"\",\n _delta(len(ok_runs), len(prev_ok) or None),\n spark=None\n if hourly\n else [{\"t\": d.isoformat(), \"v\": okrun_day[d]} for d in days],\n )\n kpi(\n \"runs_failed\",\n \"Collectes échouées\",\n len(failed_runs),\n \"\",\n _delta(len(failed_runs), len(prev_failed) or None),\n invert=True,\n )\n kpi(\n \"records\",\n \"Enregistrements collectés\",\n records_total,\n \"\",\n _delta(records_total, prev_records or None),\n spark=None\n if hourly\n else [{\"t\": d.isoformat(), \"v\": rec_day[d]} for d in days],\n )\n if active_services:\n kpi(\"services\", \"Services KA collectés\", active_services)\n\n # -------- jauges : taux & couvertures (données réelles seulement)\n gauges: list[dict[str, Any]] = []\n if total_calls:\n gauges.append(\n {\n \"id\": \"success\",\n \"label\": \"Taux de succès HTTP (statut < 400)\",\n \"value\": round(success / total_calls * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n gauges.append(\n {\n \"id\": \"fast\",\n \"label\": \"Réponses servies en moins de 200 ms\",\n \"value\": round(fast200 / total_calls * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if runs:\n gauges.append(\n {\n \"id\": \"runs\",\n \"label\": \"Taux de réussite des collectes\",\n \"value\": round(len(ok_runs) / len(runs) * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if health:\n ok_h = sum(1 for h in health if h.status == \"ok\")\n gauges.append(\n {\n \"id\": \"connectors\",\n \"label\": f\"Connecteurs de l'écosystème en santé ({ok_h}/{len(health)})\",\n \"value\": round(ok_h / len(health) * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n if active_days is not None and span > 1 and total_calls:\n gauges.append(\n {\n \"id\": \"activedays\",\n \"label\": f\"Jours avec trafic API journalisé ({active_days}/{span})\",\n \"value\": round(active_days / span * 100, 1),\n \"max\": 100,\n \"unit\": \"%\",\n }\n )\n\n # -------- séries temporelles\n series: list[dict[str, Any]] = []\n suffix = \"par heure\" if hourly else \"par jour\"\n\n calls_serie: dict[str, Any] = {\n \"id\": \"calls\",\n \"title\": f\"Appels API {suffix}\",\n \"unit\": \"appels\",\n \"kind\": \"line\",\n \"points\": calls_pts,\n }\n if prev_reqs and not hourly:\n prev_days = _daterange(prev_from, prev_to)\n prev_by = {d: 0 for d in prev_days}\n for r in prev_reqs:\n d = r[0].date()\n if d in prev_by:\n prev_by[d] += 1\n calls_serie[\"compare\"] = [\n {\"t\": d.isoformat(), \"v\": prev_by[d]} for d in prev_days\n ]\n if reqs:\n series.append(calls_serie)\n series.append(\n {\n \"id\": \"errors\",\n \"title\": f\"Erreurs HTTP (≥ 400) {suffix}\",\n \"unit\": \"erreurs\",\n \"kind\": \"bar\",\n \"points\": err_pts,\n }\n )\n series.append(\n {\n \"id\": \"latency\",\n \"title\": f\"Latence moyenne {suffix} (ms)\",\n \"unit\": \"ms\",\n \"kind\": \"line\",\n \"points\": avg_pts,\n }\n )\n if runs and not hourly:\n series.append(\n {\n \"id\": \"records\",\n \"title\": \"Enregistrements collectés par jour\",\n \"unit\": \"enregistrements\",\n \"kind\": \"line\",\n \"points\": [{\"t\": d.isoformat(), \"v\": rec_day[d]} for d in days],\n }\n )\n\n # -------- multi-séries (≤ 4 séries chacune)\n multiseries: list[dict[str, Any]] = []\n if reqs and len(bucket_keys) > 1:\n multiseries.append(\n {\n \"id\": \"lat\",\n \"title\": f\"Latence {suffix} — moyenne vs p95 (ms)\",\n \"unit\": \"ms\",\n \"series\": [\n {\"label\": \"Moyenne\", \"points\": avg_pts},\n {\"label\": \"p95\", \"points\": p95_pts},\n ],\n }\n )\n ep_stats: dict[str, dict[str, Any]] = {}\n for _, _, endpoint, status, dur in reqs:\n s = ep_stats.setdefault(endpoint, {\"calls\": 0, \"durs\": [], \"errors\": 0})\n s[\"calls\"] += 1\n s[\"durs\"].append(dur)\n if status >= 400:\n s[\"errors\"] += 1\n top_eps = sorted(ep_stats.items(), key=lambda kv: kv[1][\"calls\"], reverse=True)\n if len(top_eps) >= 2 and len(bucket_keys) > 1:\n top4 = [ep for ep, _ in top_eps[:4]]\n ep_bucket = {\n ep: {k: 0 for k in bucket_keys} for ep in top4\n }\n for r in reqs:\n if r[2] in ep_bucket:\n key = r[0].hour if hourly else r[0].date()\n if key in ep_bucket[r[2]]:\n ep_bucket[r[2]][key] += 1\n multiseries.append(\n {\n \"id\": \"top_eps\",\n \"title\": f\"Appels {suffix} — top {len(top4)} endpoints\",\n \"unit\": \"appels\",\n \"series\": [\n {\n \"label\": ep,\n \"points\": [\n {\"t\": bucket_labels[i], \"v\": ep_bucket[ep][k]}\n for i, k in enumerate(bucket_keys)\n ],\n }\n for ep in top4\n ],\n }\n )\n\n # -------- barres empilées : composition dans le temps\n stacked: list[dict[str, Any]] = []\n classes = [(\"2xx\", 200, 300), (\"3xx\", 300, 400), (\"4xx\", 400, 500), (\"5xx\", 500, 600)]\n if reqs:\n present = [\n (name, lo, hi)\n for name, lo, hi in classes\n if any(lo <= r[3] < hi for r in reqs)\n ]\n if present:\n stacked.append(\n {\n \"id\": \"status\",\n \"title\": f\"Appels {suffix} par classe de statut HTTP\",\n \"unit\": \"appels\",\n \"keys\": [c[0] for c in present],\n \"points\": [\n {\n \"t\": bucket_labels[i],\n \"values\": [\n sum(1 for r in req_bucket[k] if lo <= r[3] < hi)\n for _, lo, hi in present\n ],\n }\n for i, k in enumerate(bucket_keys)\n ],\n }\n )\n svc_records: dict[str, int] = {}\n for r in ok_runs:\n svc_records[r.service] = svc_records.get(r.service, 0) + r.records_count\n if svc_records and not hourly and len(days) > 1:\n top_svcs = [\n s\n for s, _ in sorted(svc_records.items(), key=lambda kv: kv[1], reverse=True)\n ][:6]\n svc_day = {s: {d: 0 for d in days} for s in top_svcs}\n for r in ok_runs:\n if r.service in svc_day and r.date_key in svc_day[r.service]:\n svc_day[r.service][r.date_key] += r.records_count\n stacked.append(\n {\n \"id\": \"services_day\",\n \"title\": \"Enregistrements collectés par jour et par service\",\n \"unit\": \"enregistrements\",\n \"keys\": [SERVICE_NAMES.get(s, s) for s in top_svcs],\n \"points\": [\n {\n \"t\": d.isoformat(),\n \"values\": [svc_day[s][d] for s in top_svcs],\n }\n for d in days\n ],\n }\n )\n\n # -------- répartitions (avec deltas honnêtes vs période précédente)\n prev_ep_calls: dict[str, int] = {}\n prev_status_cls: dict[str, int] = {}\n prev_methods: dict[str, int] = {}\n for _, method, endpoint, status, _dur in prev_reqs:\n prev_ep_calls[endpoint] = prev_ep_calls.get(endpoint, 0) + 1\n cls = f\"{status // 100}xx\"\n prev_status_cls[cls] = prev_status_cls.get(cls, 0) + 1\n prev_methods[method] = prev_methods.get(method, 0) + 1\n\n breakdowns: list[dict[str, Any]] = []\n if top_eps:\n items = []\n for ep, s in top_eps[:12]:\n it = {\"label\": ep, \"value\": s[\"calls\"]}\n d = _delta(s[\"calls\"], prev_ep_calls.get(ep))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"top_endpoints\",\n \"title\": \"Top endpoints (appels)\",\n \"kind\": \"bars\",\n \"items\": items,\n }\n )\n if reqs:\n status_counts: dict[int, int] = {}\n for r in reqs:\n status_counts[r[3]] = status_counts.get(r[3], 0) + 1\n cls_counts: dict[str, int] = {}\n for st, c in status_counts.items():\n cls = f\"{st // 100}xx\"\n cls_counts[cls] = cls_counts.get(cls, 0) + c\n items = []\n for cls in sorted(cls_counts):\n it = {\"label\": cls, \"value\": cls_counts[cls]}\n d = _delta(cls_counts[cls], prev_status_cls.get(cls))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"status\",\n \"title\": \"Appels par classe de statut HTTP\",\n \"kind\": \"donut\",\n \"items\": items,\n }\n )\n meth_counts: dict[str, int] = {}\n for r in reqs:\n meth_counts[r[1]] = meth_counts.get(r[1], 0) + 1\n items = []\n for m, c in sorted(meth_counts.items(), key=lambda kv: kv[1], reverse=True):\n it = {\"label\": m, \"value\": c}\n d = _delta(c, prev_methods.get(m))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"methods\",\n \"title\": \"Appels par méthode HTTP\",\n \"kind\": \"bars\",\n \"items\": items,\n }\n )\n if svc_records:\n prev_svc: dict[str, int] = {}\n for r in prev_ok:\n prev_svc[r.service] = prev_svc.get(r.service, 0) + r.records_count\n items = []\n for s, v in sorted(svc_records.items(), key=lambda kv: kv[1], reverse=True):\n it = {\"label\": SERVICE_NAMES.get(s, s), \"value\": v}\n d = _delta(v, prev_svc.get(s))\n if d is not None:\n it[\"delta_pct\"] = d\n items.append(it)\n breakdowns.append(\n {\n \"id\": \"services\",\n \"title\": \"Enregistrements collectés par service\",\n \"kind\": \"donut\",\n \"items\": items,\n }\n )\n\n # -------- distributions (histogrammes)\n distributions: list[dict[str, Any]] = []\n if durations:\n bins = _hist(durations, LAT_BINS)\n if bins:\n distributions.append(\n {\n \"id\": \"latency_hist\",\n \"title\": \"Distribution des latences (temps de réponse)\",\n \"unit\": \"appels\",\n \"bins\": bins,\n }\n )\n run_durs = [r.duration_seconds for r in runs]\n if run_durs:\n bins = _hist(run_durs, DUR_BINS)\n if bins:\n distributions.append(\n {\n \"id\": \"rundur_hist\",\n \"title\": \"Distribution des durées de collecte\",\n \"unit\": \"runs\",\n \"bins\": bins,\n }\n )\n\n # -------- heatmap calendrier : appels API par jour\n heatmap = None\n if reqs and not hourly:\n cells = [\n {\"date\": k.isoformat(), \"value\": len(req_bucket[k])}\n for k in bucket_keys\n if req_bucket[k]\n ]\n if cells:\n heatmap = {\"title\": \"Appels API par jour\", \"cells\": cells}\n\n # -------- heatmap horaire 7×24 : appels par jour de semaine × heure\n hourly_map = None\n if reqs:\n grid: dict[tuple[int, int], int] = {}\n for r in reqs:\n key = (r[0].weekday(), r[0].hour) # 0 = lundi (contrat SPEC)\n grid[key] = grid.get(key, 0) + 1\n if grid:\n hourly_map = {\n \"title\": \"Appels API par jour de semaine et heure\",\n \"cells\": [\n {\"dow\": dw, \"hour\": h, \"value\": v}\n for (dw, h), v in sorted(grid.items())\n ],\n }\n\n # -------- tableaux\n tables: list[dict[str, Any]] = []\n if top_eps:\n tables.append(\n {\n \"id\": \"endpoints\",\n \"title\": \"Endpoints — appels, latence et erreurs\",\n \"columns\": [\n \"Endpoint\",\n \"Appels\",\n \"Latence moy. (ms)\",\n \"p95 (ms)\",\n \"Erreurs\",\n \"Taux d'erreur\",\n ],\n \"rows\": [\n [\n ep,\n s[\"calls\"],\n round(sum(s[\"durs\"]) / len(s[\"durs\"]), 1),\n round(_p95(s[\"durs\"]), 1),\n s[\"errors\"],\n f\"{s['errors'] / s['calls'] * 100:.1f} %\".replace(\".\", \",\"),\n ]\n for ep, s in top_eps\n ],\n }\n )\n if reqs and len(bucket_keys) > 1:\n rows = []\n for i, k in enumerate(bucket_keys):\n rs = req_bucket[k]\n if not rs and hourly:\n continue\n durs = [r[4] for r in rs]\n rows.append(\n [\n bucket_labels[i],\n len(rs),\n sum(1 for r in rs if r[3] >= 400),\n round(sum(durs) / len(durs), 1) if durs else 0,\n round(_p95(durs), 1) if durs else 0,\n ]\n )\n tables.append(\n {\n \"id\": \"daily\",\n \"title\": \"Activité par heure\" if hourly else \"Activité par jour\",\n \"columns\": [\n \"Heure\" if hourly else \"Date\",\n \"Appels\",\n \"Erreurs\",\n \"Latence moy. (ms)\",\n \"p95 (ms)\",\n ],\n \"rows\": rows,\n }\n )\n if runs:\n svc_agg: dict[str, dict[str, Any]] = {}\n for r in runs:\n a = svc_agg.setdefault(\n r.service, {\"runs\": 0, \"ok\": 0, \"failed\": 0, \"records\": 0, \"durs\": []}\n )\n a[\"runs\"] += 1\n if r.status in (\"success\", \"retried\"):\n a[\"ok\"] += 1\n a[\"records\"] += r.records_count\n else:\n a[\"failed\"] += 1\n a[\"durs\"].append(r.duration_seconds)\n tables.append(\n {\n \"id\": \"services\",\n \"title\": \"Services KA — collectes de la période\",\n \"columns\": [\n \"Service\",\n \"Runs\",\n \"Réussis\",\n \"Échoués\",\n \"Enregistrements\",\n \"Durée moy. (s)\",\n ],\n \"rows\": [\n [\n SERVICE_NAMES.get(s, s),\n a[\"runs\"],\n a[\"ok\"],\n a[\"failed\"],\n a[\"records\"],\n round(sum(a[\"durs\"]) / len(a[\"durs\"]), 1),\n ]\n for s, a in sorted(\n svc_agg.items(), key=lambda kv: kv[1][\"records\"], reverse=True\n )\n ],\n }\n )\n tables.append(\n {\n \"id\": \"runs\",\n \"title\": \"Derniers runs de collecte\",\n \"columns\": [\"Service\", \"Date\", \"Statut\", \"Enregistrements\", \"Durée (s)\"],\n \"rows\": [\n [\n SERVICE_NAMES.get(r.service, r.service),\n r.date_key.isoformat(),\n RUN_STATUS_FR.get(r.status, r.status),\n r.records_count,\n round(r.duration_seconds, 1),\n ]\n for r in runs[:80]\n ],\n }\n )\n if health:\n tables.append(\n {\n \"id\": \"connectors\",\n \"title\": \"État des connecteurs supervisés (temps réel)\",\n \"columns\": [\n \"Service\",\n \"Source\",\n \"Statut\",\n \"Dernier succès\",\n \"Échecs consécutifs\",\n ],\n \"rows\": [\n [\n SERVICE_NAMES.get(h.service, h.service),\n h.source,\n HEALTH_FR.get(h.status, h.status),\n (\n h.last_success.astimezone(TZ).strftime(\"%Y-%m-%d %H:%M\")\n if h.last_success\n else \"—\"\n ),\n h.consecutive_failures,\n ]\n for h in sorted(\n health,\n key=lambda h: (h.status == \"ok\", h.service, h.source),\n )\n ],\n }\n )\n\n # -------- records & faits marquants (6-12, générés depuis les données)\n records: list[dict[str, Any]] = []\n if reqs and not hourly:\n best_day = max(bucket_keys, key=lambda k: len(req_bucket[k]))\n if req_bucket[best_day]:\n records.append(\n {\n \"label\": \"Jour record d'appels API\",\n \"value\": f\"{_fr_int(len(req_bucket[best_day]))} appels\",\n \"date\": best_day.isoformat(),\n }\n )\n if hourly_map:\n top_cell = max(hourly_map[\"cells\"], key=lambda c: c[\"value\"])\n dows = [\"lundi\", \"mardi\", \"mercredi\", \"jeudi\", \"vendredi\", \"samedi\", \"dimanche\"]\n records.append(\n {\n \"label\": \"Créneau horaire le plus actif\",\n \"value\": (\n f\"{dows[top_cell['dow']]} {top_cell['hour']:02d}h — \"\n f\"{_fr_int(top_cell['value'])} appels\"\n ),\n }\n )\n if top_eps:\n records.append(\n {\n \"label\": \"Endpoint le plus sollicité\",\n \"value\": f\"{top_eps[0][0]} — {_fr_int(top_eps[0][1]['calls'])} appels\",\n }\n )\n grow = [\n (ep, _delta(s[\"calls\"], prev_ep_calls.get(ep)))\n for ep, s in top_eps\n if prev_ep_calls.get(ep, 0) >= 5\n ]\n grow = [(ep, d) for ep, d in grow if d is not None and d > 0]\n if grow:\n ep, d = max(grow, key=lambda kv: kv[1])\n records.append(\n {\n \"label\": \"Plus forte croissance d'endpoint\",\n \"value\": f\"{ep} — +{_fr_num(d)} %\",\n }\n )\n if durations:\n records.append(\n {\n \"label\": \"Réponse la plus rapide de la période\",\n \"value\": f\"{_fr_num(round(min(durations), 1))} ms\",\n }\n )\n records.append(\n {\n \"label\": \"Réponse la plus lente de la période\",\n \"value\": f\"{_fr_num(round(max(durations), 1))} ms\",\n }\n )\n if reqs and not hourly:\n clean_days = [\n k\n for k in bucket_keys\n if req_bucket[k] and not any(r[3] >= 400 for r in req_bucket[k])\n ]\n if clean_days:\n best = max(clean_days, key=lambda k: len(req_bucket[k]))\n records.append(\n {\n \"label\": \"Meilleure journée sans erreur HTTP\",\n \"value\": f\"{_fr_int(len(req_bucket[best]))} appels, 0 erreur\",\n \"date\": best.isoformat(),\n }\n )\n if ok_runs:\n biggest = max(ok_runs, key=lambda r: r.records_count)\n records.append(\n {\n \"label\": \"Run de collecte le plus volumineux\",\n \"value\": (\n f\"{_fr_int(biggest.records_count)} enregistrements \"\n f\"({SERVICE_NAMES.get(biggest.service, biggest.service)})\"\n ),\n \"date\": biggest.date_key.isoformat(),\n }\n )\n fastest = min(ok_runs, key=lambda r: r.duration_seconds)\n records.append(\n {\n \"label\": \"Collecte la plus rapide\",\n \"value\": (\n f\"{fastest.duration_seconds:.1f} s \"\n f\"({SERVICE_NAMES.get(fastest.service, fastest.service)})\"\n ).replace(\".\", \",\"),\n \"date\": fastest.date_key.isoformat(),\n }\n )\n total_logged = db.execute(select(func.count(ApiRequest.id))).scalar() or 0\n if total_logged:\n records.append(\n {\n \"label\": \"Appels journalisés au total (90 jours de rétention)\",\n \"value\": f\"{_fr_int(total_logged)} appels\",\n }\n )\n\n # -------- couverture de mesure (depuis quand les appels sont journalisés)\n first_req = db.execute(select(func.min(ApiRequest.ts))).scalar()\n if first_req is not None and first_req.tzinfo is None:\n first_req = first_req.replace(tzinfo=datetime.UTC)\n\n dash: dict[str, Any] = {\n \"updated\": datetime.datetime.now(tz=TZ).isoformat(timespec=\"seconds\"),\n \"period\": {\"from\": d_from.isoformat(), \"to\": d_to.isoformat(), \"label\": label},\n \"kpis\": kpis,\n \"series\": series,\n \"breakdowns\": breakdowns,\n \"tables\": tables,\n \"records\": records,\n \"coverage\": {\n \"api_requests_since\": (\n first_req.astimezone(TZ).isoformat(timespec=\"seconds\")\n if first_req\n else None\n )\n },\n }\n if gauges:\n dash[\"gauges\"] = gauges\n if multiseries:\n dash[\"multiseries\"] = multiseries\n if stacked:\n dash[\"stacked\"] = stacked\n if distributions:\n dash[\"distributions\"] = distributions\n if heatmap:\n dash[\"heatmap\"] = heatmap\n if hourly_map:\n dash[\"hourly\"] = hourly_map\n return dash\n\n\ndef _dashboard_cached(\n db: Session,\n period: str,\n date_from: datetime.date | None,\n date_to: datetime.date | None,\n) -> dict[str, Any]:\n d_from, d_to, label = _resolve_period(period, date_from, date_to, db)\n key = (period, d_from.isoformat(), d_to.isoformat())\n now = time.monotonic()\n with _cache_lock:\n hit = _cache.get(key)\n if hit and now - hit[0] < CACHE_TTL:\n return hit[1]\n dash = _build_dashboard(db, period, d_from, d_to, label)\n with _cache_lock:\n if len(_cache) > 64:\n _cache.clear()\n _cache[key] = (now, dash)\n return dash\n\n\ndef _normalize_mode(mode: str | None) -> str:\n \"\"\"SPEC v2 : un mode inconnu ou absent retombe sur ``complet``.\"\"\"\n m = (mode or \"\").strip().lower()\n return m if m in kapdf.REPORT_MODES else \"complet\"\n\n\n# ---------------------------------------------------------------- routes\n@router.get(\"/dashboard\")\ndef stats_dashboard(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n db: Session = Depends(get_db),\n) -> dict[str, Any]:\n \"\"\"Tableau de bord analytique de la plateforme (contrat commun Groupe KA).\"\"\"\n return envelope(_dashboard_cached(db, period, date_from, date_to))\n\n\n@router.get(\"/report\")\ndef stats_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n date_from: datetime.date | None = Query(None, alias=\"from\"),\n date_to: datetime.date | None = Query(None, alias=\"to\"),\n mode: str = Query(\n \"complet\",\n description=\"complet, synthese, tendances, repartitions ou donnees\",\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport statistique PDF estampillé Groupe-KA (5 rapports, SPEC v2).\"\"\"\n mode = _normalize_mode(mode)\n dash = _dashboard_cached(db, period, date_from, date_to)\n pdf_bytes = kapdf.GroupeKAReport(site=SITE, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(PLATFORM_ID, period, mode)\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n\n# ------------------------------------------------- rapport écosystème (PDF)\nasync def _fetch_satellite_dashboard(\n client: httpx.AsyncClient, site: dict, period: str\n) -> dict[str, Any]:\n \"\"\"Dashboard d'une plateforme sœur — jamais d'exception : une plateforme\n injoignable est retournée avec ``dashboard=None`` et un motif lisible.\"\"\"\n url = f\"https://{site['domain']}/api/stats/dashboard\"\n try:\n resp = await client.get(url, params={\"period\": period})\n resp.raise_for_status()\n payload = resp.json()\n # certaines plateformes enveloppent la réponse ({success, data, meta})\n if (\n isinstance(payload, dict)\n and \"kpis\" not in payload\n and isinstance(payload.get(\"data\"), dict)\n ):\n payload = payload[\"data\"]\n if not isinstance(payload, dict) or not payload.get(\"kpis\"):\n raise ValueError(\"réponse hors contrat (kpis manquants)\")\n return {\"site\": site, \"dashboard\": payload, \"error\": None}\n except httpx.TimeoutException:\n return {\"site\": site, \"dashboard\": None, \"error\": \"délai dépassé (15 s)\"}\n except httpx.HTTPStatusError as exc:\n return {\n \"site\": site,\n \"dashboard\": None,\n \"error\": f\"HTTP {exc.response.status_code}\",\n }\n except Exception as exc: # noqa: BLE001 — motif affiché dans le PDF\n return {\n \"site\": site,\n \"dashboard\": None,\n \"error\": (str(exc) or exc.__class__.__name__)[:80],\n }\n\n\n@router.get(\"/ecosystem-report\")\nasync def stats_ecosystem_report(\n period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),\n mode: str | None = Query(\n None,\n description=(\n \"complet, synthese, tendances, repartitions ou donnees \"\n \"(optionnel — inconnu ou absent = complet)\"\n ),\n ),\n db: Session = Depends(get_db),\n) -> Response:\n \"\"\"Rapport écosystème Groupe-KA : UN SEUL PDF consolidant les 12 plateformes.\n\n Les dashboards des plateformes sœurs sont récupérés en parallèle\n (httpx, délai 15 s), celui d'API-KA est calculé en local. Le ``mode``\n (5 rapports du contrat v2) est passé au moteur ; un mode inconnu ou\n absent retombe sur ``complet``. Cache 10 min par (période, mode).\"\"\"\n mode = _normalize_mode(mode)\n if period not in PERIOD_LABELS:\n raise HTTPException(\n status_code=422,\n detail=f\"Période invalide : {period}. Valides : {', '.join(PERIOD_LABELS)}\",\n )\n\n fname = kapdf.filename(\"ecosysteme\", period, mode)\n\n def _pdf_response(pdf_bytes: bytes, fname: str) -> Response:\n return Response(\n content=pdf_bytes,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'},\n )\n\n key = (period, mode)\n now = time.monotonic()\n with _eco_lock:\n hit = _eco_cache.get(key)\n if hit and now - hit[0] < ECO_CACHE_TTL:\n return _pdf_response(hit[1], hit[2])\n\n satellites = [s for s in ECO_SITES if s[\"id\"] != PLATFORM_ID]\n own_site = next(s for s in ECO_SITES if s[\"id\"] == PLATFORM_ID)\n async with httpx.AsyncClient(\n timeout=ECO_FETCH_TIMEOUT,\n follow_redirects=True,\n headers={\n \"accept\": \"application/json\",\n \"user-agent\": \"apika-ecosystem-report/1.0 (+https://www.api-ka.com)\",\n },\n ) as client:\n results = await asyncio.gather(\n *(_fetch_satellite_dashboard(client, s, period) for s in satellites)\n )\n\n def _build() -> bytes:\n try:\n own = {\n \"site\": own_site,\n \"dashboard\": _dashboard_cached(db, period, None, None),\n \"error\": None,\n }\n except Exception as exc: # noqa: BLE001\n own = {\"site\": own_site, \"dashboard\": None, \"error\": str(exc)[:80]}\n platforms = [*results, own]\n eco_period = next(\n (\n pl[\"dashboard\"][\"period\"]\n for pl in platforms\n if pl[\"dashboard\"] and pl[\"dashboard\"].get(\"period\")\n ),\n {\"label\": PERIOD_LABELS[period]},\n )\n return ecopdf.EcosystemReport(\n platforms=platforms, period=eco_period, mode=mode\n ).build()\n\n pdf_bytes = await asyncio.to_thread(_build)\n with _eco_lock:\n if len(_eco_cache) > 32:\n _eco_cache.clear()\n _eco_cache[key] = (now, pdf_bytes, fname)\n return _pdf_response(pdf_bytes, fname)\n","structuredPatch":[{"oldStart":1149,"oldLines":6,"newStart":1149,"newLines":53,"lines":[" "," "," # ---------------------------------------------------------------- routes","+@router.get(\"\")","+def stats_summary(db: Session = Depends(get_db)) -> dict[str, Any]:","+ \"\"\"Résumé compact de la plateforme (contrat léger /api/stats commun KA).","+","+ Version allégée du tableau de bord pour les moniteurs et les apps sœurs :","+ activité API 7 jours, runs de collecte, dernier run par service et santé","+ des connecteurs supervisés.","+ \"\"\"","+ today = datetime.datetime.now(TZ).date()","+ d_from = today - datetime.timedelta(days=6)","+ reqs = _fetch_requests(db, d_from, today)","+ runs = _fetch_runs(db, d_from, today)","+ health = _fetch_health(db)","+ errors = sum(1 for r in reqs if r[3] >= 400)","+ ok_runs = [r for r in runs if r.status in (\"success\", \"retried\")]","+ last_run: dict[str, Any] = {}","+ for r in runs: # triés par started_at décroissant","+ if r.service not in last_run:","+ last_run[r.service] = {","+ \"date\": r.date_key.isoformat(),","+ \"status\": r.status,","+ \"records\": r.records_count,","+ }","+ connectors = dict.fromkeys((\"ok\", \"degraded\", \"broken\", \"stale\"), 0)","+ for h in health:","+ if h.status in connectors:","+ connectors[h.status] += 1","+ return envelope(","+ {","+ \"platform\": \"API-KA\",","+ \"period\": {\"from\": d_from.isoformat(), \"to\": today.isoformat()},","+ \"api\": {","+ \"calls_7d\": len(reqs),","+ \"error_rate_7d\": round(errors / len(reqs) * 100, 2) if reqs else 0.0,","+ },","+ \"runs_7d\": {","+ \"total\": len(runs),","+ \"ok\": len(ok_runs),","+ \"failed\": sum(1 for r in runs if r.status == \"failed\"),","+ \"records\": sum(r.records_count for r in ok_runs),","+ },","+ \"last_run\": last_run,","+ \"connectors\": connectors,","+ }","+ )","+","+"," @router.get(\"/dashboard\")"," def stats_dashboard("," period: str = Query(\"30j\", description=\"auj, 7j, 30j, 3m, 6m, 12m, annee, tout\"),"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a12b3e10-1e10-405b-85b2-43e2bbc87ffc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5nciXExodZEc2sJPi4","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":1945,"cache_read_input_tokens":90289,"cache_creation":{"ephemeral_5m_input_tokens":1945,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"316534af-c7e3-4693-84a9-f00b07b2dc1f","request_id":"req_011CeK5nacWu934pToSPGgDM"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5nciXExodZEc2sJPi4","type":"message","role":"assistant","content":[{"type":"text","text":"Je renvoie les fichiers sur M3U96b, vérifie la syntaxe, redémarre et teste."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1945,"cache_read_input_tokens":90289,"cache_creation":{"ephemeral_5m_input_tokens":1945,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ea51de9c-2381-4176-bff2-d945b9af594e","request_id":"req_011CeK5nacWu934pToSPGgDM"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5nciXExodZEc2sJPi4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UKJ3ULY5W22DPRqpC3aaAP","name":"Bash","input":{"command":"scp /tmp/apika-fix/main.py M3U96b:/opt/api-ka/src/api/main.py && scp /tmp/apika-fix/reqstats.py M3U96b:/opt/api-ka/src/api/reqstats.py && scp /tmp/apika-fix/stats.py M3U96b:/opt/api-ka/src/api/routes/stats.py && ssh M3U96b 'cd /opt/api-ka && ./venv/bin/python -m py_compile src/api/main.py src/api/reqstats.py src/api/routes/stats.py && echo SYNTAX-OK && pm2 restart apika-api --update-env >/dev/null 2>&1 && sleep 4 && curl -s -o /dev/null -w \"HEAD /: %{http_code}\\n\" -I http://127.0.0.1:8000/ && curl -s -o /dev/null -w \"GET /api/stats: %{http_code}\\n\" http://127.0.0.1:8000/api/stats && curl -s -o /dev/null -w \"GET /health: %{http_code}\\n\" http://127.0.0.1:8000/health'","description":"Deploy api-ka fixes, restart and test endpoints"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1945,"cache_read_input_tokens":90289,"cache_creation":{"ephemeral_5m_input_tokens":1945,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8a905df0-3cd7-4fa9-8161-1cd174d76dc3","request_id":"req_011CeK5nacWu934pToSPGgDM"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bn65rlrt9","tool_use_id":"toolu_01UKJ3ULY5W22DPRqpC3aaAP","description":"Deploy api-ka fixes, restart and test endpoints","task_type":"local_bash","uuid":"27dccb77-d5fe-438d-ae45-0dfd9fe2150f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bn65rlrt9","tool_use_id":"toolu_01UKJ3ULY5W22DPRqpC3aaAP","status":"completed","output_file":"","summary":"Deploy api-ka fixes, restart and test endpoints","uuid":"d92b2bf7-2944-467d-aacc-84f75d894104","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UKJ3ULY5W22DPRqpC3aaAP","type":"tool_result","content":"SYNTAX-OK\nHEAD /: 200\nGET /api/stats: 200\nGET /health: 200","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1a6f6405-5d58-4a0b-aab5-98675453aa1b","timestamp":"2026-08-23T04:54:38.635Z","tool_use_result":{"stdout":"SYNTAX-OK\nHEAD /: 200\nGET /api/stats: 200\nGET /health: 200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} 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KPI"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":682,"cache_read_input_tokens":92234,"cache_creation":{"ephemeral_5m_input_tokens":682,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f834e43a-24f8-407a-aa0e-c3c8940c7505","request_id":"req_011CeK5ob9nv1sg4dKnLkPH2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013zHHCG9xVuuR2rtW3zRgDR","type":"tool_result","content":"{\n \"success\": true,\n \"data\": {\n \"platform\": \"API-KA\",\n \"period\": {\n \"from\": \"2026-08-17\",\n \"to\": \"2026-08-23\"\n },\n \"api\": {\n \"calls_7d\": 5251,\n \"error_rate_7d\": 12.65\n },\n \"runs_7d\": {\n \"total\": 54,\n \"ok\": 54,\n \"failed\": 0,\n \"records\": 3315192\n },\n \"last_run\": {\n \"jobka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 13864\n },\n \"creaka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 12811\n },\n \"sortika\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 16693\n },\n \"restoka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 14662\n },\n \"fabrika\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 352783\n },\n \"autoka\": {\ncalls 5251 \nerrors 12.65 %","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3af1102d-34ea-44a3-8d3b-e0a0472977c0","timestamp":"2026-08-23T04:54:42.938Z","tool_use_result":{"stdout":"{\n \"success\": true,\n \"data\": {\n \"platform\": \"API-KA\",\n \"period\": {\n \"from\": \"2026-08-17\",\n \"to\": \"2026-08-23\"\n },\n \"api\": {\n \"calls_7d\": 5251,\n \"error_rate_7d\": 12.65\n },\n \"runs_7d\": {\n \"total\": 54,\n \"ok\": 54,\n \"failed\": 0,\n \"records\": 3315192\n },\n \"last_run\": {\n \"jobka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 13864\n },\n \"creaka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 12811\n },\n \"sortika\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 16693\n },\n \"restoka\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 14662\n },\n \"fabrika\": {\n \"date\": \"2026-08-22\",\n \"status\": \"success\",\n \"records\": 352783\n },\n \"autoka\": {\ncalls 5251 \nerrors 12.65 %","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e60e8f7b-6f1e-4819-949f-bbf36914ef9a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VLcHQ3R3CRe7v8QecaFd3b","type":"tool_result","content":"[resto-ka] dedup: site-resto:way/522233839 <- ['osm:way/522233839']\n[resto-ka] dedup: site-resto:way/661305454 <- ['osm:way/661305454']\n[resto-ka] dedup: site-resto:way/693942947 <- ['osm:way/693942947']\n[resto-ka] dedup: site-resto:way/717175488 <- ['osm:way/717175488']\n[resto-ka] dedup: site-resto:way/1162937446 <- ['osm:way/1162937446']\n[resto-ka] dedup: ueat:e3ca524e-57bb-4d8e-ad2f-53a35731c802:9520 <- ['osm:node/386268032']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3778 <- ['osm:node/479900613']\n[resto-ka] dedup: ueat:e9f4d78d-feb0-42cc-85a3-8573b252c56d:2455 <- ['osm:node/480601363']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3773 <- ['osm:node/1398030183']\n[resto-ka] dedup: site-resto:node/1566579180 <- ['osm:node/1566579180']\n[resto-ka] dedup: site-resto:node/2047454765 <- ['osm:node/2047454765']\n[resto-ka] dedup: ueat:627749b8-894b-4f13-a68b-c90b2ffd1702:2615 <- ['osm:node/2459746290']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3770 <- ['osm:node/2500160321']\n[resto-ka] dedup: site-resto:node/2503429164 <- ['osm:node/2503429164']\n[resto-ka] dedup: site-resto:node/4357497393 <- ['osm:node/4357497393']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3788 <- ['osm:node/7176463588']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:8357 <- ['osm:node/10109896384']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:9493 <- ['osm:node/11250091145']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18989 <- ['osm:node/11676763458']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3794 <- ['osm:node/12194842873']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18990 <- ['osm:node/12215097782']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3800 <- ['osm:node/12230571233']\n[resto-ka] dedup: site-resto:node/4507273889 <- ['osm:node/4507273889']\n[resto-ka] dedup: ueat:b46660d2-389f-42d5-b161-d31b48ad80bf:19751 <- ['osm:node/14085463538']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:22062 <- ['osm:node/14056668001']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:21755 <- ['osm:node/8791997330']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:19811 <- ['osm:node/14094556852']\n[resto-ka] dedup: site-resto:node/14039711801 <- ['osm:node/14039709501']\n[resto-ka] dedup: {'clusters': 711, 'merged': 604}\n[resto-ka] prochaine synchronisation dans 604800s\n---ERR---\n warnings.warn(\n/Users/simon-pierreboucher/apps/resto-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/resto-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/resto-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[resto-ka] ueat: intégration Juliette & Chocolat (découvert via julietteetchocolat.com) ignorée : Could not find an active restaurant for [ApiKey=fc3bf368-dfcc-4a0b-8eb7-93aaeef67bcf] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}\n[resto-ka] ueat: intégration Poivre Noir (découvert via poivrenoir.com) ignorée : Could not find an active restaurant for [ApiKey=52f4a11d-75c9-4710-8f9c-15997aabf7bd] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}\n[resto-ka] ueat: intégration Nora Gray (découvert via noragray.com) ignorée : Could not find an active restaurant for [ApiKey=e4de92c1-12d0-49db-bb59-7baf0202faf8] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3273c399-75d4-44e2-af5a-7fca795c6b01","timestamp":"2026-08-23T04:55:26.497Z","tool_use_result":{"stdout":"[resto-ka] dedup: site-resto:way/522233839 <- ['osm:way/522233839']\n[resto-ka] dedup: site-resto:way/661305454 <- ['osm:way/661305454']\n[resto-ka] dedup: site-resto:way/693942947 <- ['osm:way/693942947']\n[resto-ka] dedup: site-resto:way/717175488 <- ['osm:way/717175488']\n[resto-ka] dedup: site-resto:way/1162937446 <- ['osm:way/1162937446']\n[resto-ka] dedup: ueat:e3ca524e-57bb-4d8e-ad2f-53a35731c802:9520 <- ['osm:node/386268032']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3778 <- ['osm:node/479900613']\n[resto-ka] dedup: ueat:e9f4d78d-feb0-42cc-85a3-8573b252c56d:2455 <- ['osm:node/480601363']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3773 <- ['osm:node/1398030183']\n[resto-ka] dedup: site-resto:node/1566579180 <- ['osm:node/1566579180']\n[resto-ka] dedup: site-resto:node/2047454765 <- ['osm:node/2047454765']\n[resto-ka] dedup: ueat:627749b8-894b-4f13-a68b-c90b2ffd1702:2615 <- ['osm:node/2459746290']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3770 <- ['osm:node/2500160321']\n[resto-ka] dedup: site-resto:node/2503429164 <- ['osm:node/2503429164']\n[resto-ka] dedup: site-resto:node/4357497393 <- ['osm:node/4357497393']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3788 <- ['osm:node/7176463588']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:8357 <- ['osm:node/10109896384']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:9493 <- ['osm:node/11250091145']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18989 <- ['osm:node/11676763458']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3794 <- ['osm:node/12194842873']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18990 <- ['osm:node/12215097782']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3800 <- ['osm:node/12230571233']\n[resto-ka] dedup: site-resto:node/4507273889 <- ['osm:node/4507273889']\n[resto-ka] dedup: ueat:b46660d2-389f-42d5-b161-d31b48ad80bf:19751 <- ['osm:node/14085463538']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:22062 <- ['osm:node/14056668001']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:21755 <- ['osm:node/8791997330']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:19811 <- ['osm:node/14094556852']\n[resto-ka] dedup: site-resto:node/14039711801 <- ['osm:node/14039709501']\n[resto-ka] dedup: {'clusters': 711, 'merged': 604}\n[resto-ka] prochaine synchronisation dans 604800s\n---ERR---\n warnings.warn(\n/Users/simon-pierreboucher/apps/resto-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/resto-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/resto-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[resto-ka] ueat: intégration Juliette & Chocolat (découvert via julietteetchocolat.com) ignorée : Could not find an active restaurant for [ApiKey=fc3bf368-dfcc-4a0b-8eb7-93aaeef67bcf] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}\n[resto-ka] ueat: intégration Poivre Noir (découvert via poivrenoir.com) ignorée : Could not find an active restaurant for [ApiKey=52f4a11d-75c9-4710-8f9c-15997aabf7bd] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}\n[resto-ka] ueat: intégration Nora Gray (découvert via noragray.com) ignorée : Could not find an active restaurant for [ApiKey=e4de92c1-12d0-49db-bb59-7baf0202faf8] {NO_ACTIVE_RESTAURANT_SESSION_ERROR}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5rhBGSEedKhSh5adce","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BrpJYq21CW2x7wbwHBjz8a","name":"Bash","input":{"command":"ssh M3U96b 'psql \"postgresql://apika_user:5dfb215940e4be80b5b786b894e0d46003ad6b2e8019b011@localhost:5432/apika\" -c \"SELECT service, source, status, found_last, median_found, message FROM connector_health WHERE service='\\''restoka'\\'' ORDER BY status;\"'","description":"List resto-ka connector states in api-ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":667,"cache_read_input_tokens":95711,"cache_creation":{"ephemeral_5m_input_tokens":667,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"93733ea9-b045-4b79-b1e4-64c337987364","request_id":"req_011CeK5rfwrH9eTmV93E4waD"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BrpJYq21CW2x7wbwHBjz8a","type":"tool_result","content":" service | source | status | found_last | median_found | message \n---------+-------------+----------+------------+--------------+--------------------------------------\n restoka | ubereats | degraded | 1 | 4.046875 | volume 1 < 50 % de la médiane (4)\n restoka | osm | degraded | 0 | 8631.75 | volume 0 < 50 % de la médiane (8632)\n restoka | site-resto | ok | 195 | 143 | ok\n restoka | mapaq | ok | 2994 | 2994 | ok\n restoka | ueat | ok | 1088 | 1023 | ok\n restoka | yelp-scrape | ok | 21 | 21.21875 | ok\n restoka | racj | ok | 18686 | 18686 | ok\n restoka | _app | ok | 66818 | 66972.484375 | ok\n(8 lignes)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"26d31e28-7b73-4290-9e23-dd6c21cd639e","timestamp":"2026-08-23T04:55:29.851Z","tool_use_result":{"stdout":" service | source | status | found_last | median_found | message \n---------+-------------+----------+------------+--------------+--------------------------------------\n restoka | ubereats | degraded | 1 | 4.046875 | volume 1 < 50 % de la médiane (4)\n restoka | osm | degraded | 0 | 8631.75 | volume 0 < 50 % de la médiane (8632)\n restoka | site-resto | ok | 195 | 143 | ok\n restoka | mapaq | ok | 2994 | 2994 | ok\n restoka | ueat | ok | 1088 | 1023 | ok\n restoka | yelp-scrape | ok | 21 | 21.21875 | ok\n restoka | racj | ok | 18686 | 18686 | ok\n restoka | _app | ok | 66818 | 66972.484375 | ok\n(8 lignes)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bbf2039d-3d3e-4568-8912-70320d0cf8d0","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"ee591ec9-1159-4b3c-9bfe-4e2e51f57635","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"60776a1a-1dec-4578-9748-56956c6ccdc4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"f7e0280c-22e1-4283-bc61-6bad9cb42b6f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":150,"uuid":"6959de8e-efc5-44dc-882b-72c49d4f0324","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"8a1b4584-335c-465b-8db7-d47cbd994812","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":100,"uuid":"66a3bcf8-d8f7-41d6-bbd6-b13a05ec802a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5sPia7wYiFJx1EV9EZ","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":3256,"cache_read_input_tokens":96378,"cache_creation":{"ephemeral_5m_input_tokens":3256,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5e1a8159-3b11-4327-a003-ebab3ec9b7a3","request_id":"req_011CeK5sNJV67B43EqAwCMxE"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5sPia7wYiFJx1EV9EZ","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":3256,"cache_read_input_tokens":96378,"cache_creation":{"ephemeral_5m_input_tokens":3256,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b1f1018d-b458-4046-aec8-b9bf65592b40","request_id":"req_011CeK5sNJV67B43EqAwCMxE"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5sPia7wYiFJx1EV9EZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015ZY9eiPunT5jZk8qmqCk1k","name":"Bash","input":{"command":"ssh M3U96b 'grep -i \"osm\" ~/.pm2/logs/resto-ka-sync-out.log | tail -8; grep -iE \"osm.*(error|échec|fail|timeout|429|503)\" ~/.pm2/logs/resto-ka-sync-error.log ~/.pm2/logs/resto-ka-sync-out.log 2>/dev/null | tail -8; echo \"---code osm---\"; grep -rln \"overpass\\|osm\" ~/apps/resto-ka/restoka --include=\"*.py\" | head -5'","description":"Investigate resto-ka OSM connector returning 0"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3256,"cache_read_input_tokens":96378,"cache_creation":{"ephemeral_5m_input_tokens":3256,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"392769d1-c91a-4b67-a783-b3e2139047ad","request_id":"req_011CeK5sNJV67B43EqAwCMxE"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015ZY9eiPunT5jZk8qmqCk1k","type":"tool_result","content":"[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18990 <- ['osm:node/12215097782']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3800 <- ['osm:node/12230571233']\n[resto-ka] dedup: site-resto:node/4507273889 <- ['osm:node/4507273889']\n[resto-ka] dedup: ueat:b46660d2-389f-42d5-b161-d31b48ad80bf:19751 <- ['osm:node/14085463538']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:22062 <- ['osm:node/14056668001']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:21755 <- ['osm:node/8791997330']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:19811 <- ['osm:node/14094556852']\n[resto-ka] dedup: site-resto:node/14039711801 <- ['osm:node/14039709501']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:1696ecd3-d4ea-4224-9f98-9299ebcb339c:720 <- ['osm:node/2513514293']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:94652e5f-d4cc-47ac-81a3-ad9b1e31b826:331 <- ['osm:node/4297237091']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:f89d74e1-c2ab-4ace-8bce-39069900f5b4:618 <- ['osm:node/4598631503']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:1696ecd3-d4ea-4224-9f98-9299ebcb339c:720 <- ['osm:node/2513514293']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:94652e5f-d4cc-47ac-81a3-ad9b1e31b826:331 <- ['osm:node/4297237091']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:365c4087-4be8-4c90-b6d3-f21fd02fd8f0:11069 <- ['osm:way/362342986']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: site-resto:way/693942947 <- ['osm:way/693942947']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: site-resto:node/2503429164 <- ['osm:node/2503429164']\n---code osm---\n/Users/simon-pierreboucher/apps/resto-ka/restoka/connectors/osm.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/connectors/siteresto.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/hours.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/dedup.py","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"69580ceb-e9d3-48e9-b083-1a4dfeeb3c0c","timestamp":"2026-08-23T04:55:47.203Z","tool_use_result":{"stdout":"[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:18990 <- ['osm:node/12215097782']\n[resto-ka] dedup: ueat:a2b6f390-ff59-4ba1-a3c4-de5b9c50ffe9:3800 <- ['osm:node/12230571233']\n[resto-ka] dedup: site-resto:node/4507273889 <- ['osm:node/4507273889']\n[resto-ka] dedup: ueat:b46660d2-389f-42d5-b161-d31b48ad80bf:19751 <- ['osm:node/14085463538']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:22062 <- ['osm:node/14056668001']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:21755 <- ['osm:node/8791997330']\n[resto-ka] dedup: ueat:d25f3505-1acc-4422-a5c0-b83940b3f576:19811 <- ['osm:node/14094556852']\n[resto-ka] dedup: site-resto:node/14039711801 <- ['osm:node/14039709501']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:1696ecd3-d4ea-4224-9f98-9299ebcb339c:720 <- ['osm:node/2513514293']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:94652e5f-d4cc-47ac-81a3-ad9b1e31b826:331 <- ['osm:node/4297237091']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:f89d74e1-c2ab-4ace-8bce-39069900f5b4:618 <- ['osm:node/4598631503']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:1696ecd3-d4ea-4224-9f98-9299ebcb339c:720 <- ['osm:node/2513514293']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:94652e5f-d4cc-47ac-81a3-ad9b1e31b826:331 <- ['osm:node/4297237091']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: ueat:365c4087-4be8-4c90-b6d3-f21fd02fd8f0:11069 <- ['osm:way/362342986']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: site-resto:way/693942947 <- ['osm:way/693942947']\n/Users/simon-pierreboucher/.pm2/logs/resto-ka-sync-out.log:[resto-ka] dedup: site-resto:node/2503429164 <- ['osm:node/2503429164']\n---code osm---\n/Users/simon-pierreboucher/apps/resto-ka/restoka/connectors/osm.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/connectors/siteresto.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/hours.py\n/Users/simon-pierreboucher/apps/resto-ka/restoka/dedup.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"54975fc3-8fc8-4ac2-9f53-8e04966e551b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5tgZcZUh1etKdkSbmF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KzEzDj51iXC8Ay4xCURNc1","name":"Bash","input":{"command":"ssh M3U96b 'grep -E \"\\[resto-ka\\] (osm|sync|source)\" ~/.pm2/logs/resto-ka-sync-out.log | grep -vE \"dedup\" | tail -25'","description":"Find per-source sync summary lines in resto-ka log"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2280,"cache_read_input_tokens":99634,"cache_creation":{"ephemeral_5m_input_tokens":2280,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"26c7c290-6c9d-4239-a345-b1c166d05c67","request_id":"req_011CeK5teJC2HKy6ej8msDFY"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KzEzDj51iXC8Ay4xCURNc1","type":"tool_result","content":"[resto-ka] sync ueat ...\n[resto-ka] sync osm ...\n[resto-ka] osm: amenity=restaurant -> 6612 POI, 6429 fiches nommées\n[resto-ka] osm: amenity=bar -> 766 POI, 740 fiches nommées\n[resto-ka] osm: amenity=pub -> 369 POI, 363 fiches nommées\n[resto-ka] osm: amenity=ice_cream -> 362 POI, 338 fiches nommées\n[resto-ka] osm: amenity=food_court -> 32 POI, 17 fiches nommées\n[resto-ka] osm: shop=bakery -> 603 POI, 584 fiches nommées\n[resto-ka] osm: shop=pastry -> 150 POI, 145 fiches nommées\n[resto-ka] sync site-resto ...\n[resto-ka] sync ueat ...\n[resto-ka] sync yelp ...\n[resto-ka] sync osm ...\n[resto-ka] osm: amenity=restaurant -> 6676 POI, 6493 fiches nommées\n[resto-ka] osm: amenity=bar -> 746 POI, 720 fiches nommées\n[resto-ka] osm: amenity=pub -> 353 POI, 349 fiches nommées\n[resto-ka] osm: amenity=ice_cream -> 355 POI, 333 fiches nommées\n[resto-ka] osm: amenity=food_court -> 31 POI, 16 fiches nommées\n[resto-ka] osm: shop=bakery -> 594 POI, 576 fiches nommées\n[resto-ka] osm: shop=pastry -> 150 POI, 145 fiches nommées\n[resto-ka] sync site-resto ...\n[resto-ka] sync ubereats ...\n[resto-ka] sync ueat ...\n[resto-ka] sync yelp ...\n[resto-ka] sync yelp-scrape ...","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"53e32ce9-22a8-408c-a977-e33630788c44","timestamp":"2026-08-23T04:55:51.083Z","tool_use_result":{"stdout":"[resto-ka] sync ueat ...\n[resto-ka] sync osm ...\n[resto-ka] osm: amenity=restaurant -> 6612 POI, 6429 fiches nommées\n[resto-ka] osm: amenity=bar -> 766 POI, 740 fiches nommées\n[resto-ka] osm: amenity=pub -> 369 POI, 363 fiches nommées\n[resto-ka] osm: amenity=ice_cream -> 362 POI, 338 fiches nommées\n[resto-ka] osm: amenity=food_court -> 32 POI, 17 fiches nommées\n[resto-ka] osm: shop=bakery -> 603 POI, 584 fiches nommées\n[resto-ka] osm: shop=pastry -> 150 POI, 145 fiches nommées\n[resto-ka] sync site-resto ...\n[resto-ka] sync ueat ...\n[resto-ka] sync yelp ...\n[resto-ka] sync osm ...\n[resto-ka] osm: amenity=restaurant -> 6676 POI, 6493 fiches nommées\n[resto-ka] osm: amenity=bar -> 746 POI, 720 fiches nommées\n[resto-ka] osm: amenity=pub -> 353 POI, 349 fiches nommées\n[resto-ka] osm: amenity=ice_cream -> 355 POI, 333 fiches nommées\n[resto-ka] osm: amenity=food_court -> 31 POI, 16 fiches nommées\n[resto-ka] osm: shop=bakery -> 594 POI, 576 fiches nommées\n[resto-ka] osm: shop=pastry -> 150 POI, 145 fiches nommées\n[resto-ka] sync site-resto ...\n[resto-ka] sync ubereats ...\n[resto-ka] sync ueat ...\n[resto-ka] sync yelp ...\n[resto-ka] sync yelp-scrape ...","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c2f29912-d5cd-4ba2-8d55-ad33f7d6079d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"912e090c-ac64-4c59-ab84-8f36fc55f82f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"726ebd1c-c49f-4cde-a475-6da07260ab12","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"c7106d82-001d-4c85-ae04-3f675832d1ea","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":150,"uuid":"116ad249-6a6d-4f87-b86d-63ff26ff7ec1","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011ZfzQy8jubWWUPihw89hqx","type":"tool_result","content":"│ script args │ run.py serve 8115 │\n11: python run.py serve [port] # démarre l'API + le frontend (défaut 8115)\n15:from __future__ import annotations\n17:import os\n18:import sys\n19:from pathlib import Path","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"51c697e1-5e74-4fd3-892b-9e69edb3b55c","timestamp":"2026-08-23T04:56:00.257Z","tool_use_result":{"stdout":"│ script args │ run.py serve 8115 │\n11: python run.py serve [port] # démarre l'API + le frontend (défaut 8115)\n15:from __future__ import annotations\n17:import os\n18:import sys\n19:from pathlib import Path","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JdM2EZ6Jwkk8xW6egS2CxJ","type":"tool_result","content":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: restoka/connectors/osm.py\n# Desc: Connecteur de DÉCOUVERTE OpenStreetMap (Palier 4) — TOUS les\n# établissements où l'on mange au Québec : restaurants, fast-foods,\n# cafés, bars/pubs, crèmeries, foires alimentaires, boulangeries-\n# pâtisseries. C'est la couche « exhaustivité » de Resto·Ka : des\n# milliers de fiches (nom, adresse, GPS, cuisine, horaires, contact),\n# SANS menu — les connecteurs de menus (UEAT…) viennent s'y greffer\n# par déduplication.\n#\n# Mode d'extraction : API Overpass (miroirs publics, requêtes par type\n# d'établissement, aire administrative « Québec » 3600061549).\n# Base légale : données © contributeurs OpenStreetMap, licence ODbL —\n# attribution affichée sur le site (pages Sources et pied de page).\n# Politesse : 1 requête par type, timeout large, miroirs en rotation.\n#\n# Contexte de prix produit : AUCUN (pas de menu — fiche de découverte).\n# ==============================================================================\nfrom __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)\nTARGETS = [\n (\"amenity\", \"restaurant\", \"restaurant\"),\n (\"amenity\", \"fast_food\", \"fast-food\"),\n (\"amenity\", \"cafe\", \"cafe\"),\n (\"amenity\", \"bar\", \"bar\"),\n (\"amenity\", \"pub\", \"bar\"),\n (\"amenity\", \"ice_cream\", \"cafe\"),\n (\"amenity\", \"food_court\", \"fast-food\"),\n (\"shop\", \"bakery\", \"boulangerie-patisserie\"),\n (\"shop\", \"pastry\", \"boulangerie-patisserie\"),\n]\n\n# cuisine=* OSM -> taxonomie Resto·Ka (§6.1) ; multi-valué « a;b;c »\n_CUISINE_MAP = {\n \"pizza\": \"pizza\", \"italian\": \"italien\", \"burger\": \"burgers\",\n \"chicken\": \"poulet\", \"sushi\": \"sushi-japonais\", \"japanese\": \"sushi-japonais\",\n \"chinese\": \"chinois\", \"thai\": \"thai\", \"vietnamese\": \"vietnamien\",\n \"korean\": \"coreen\", \"indian\": \"indien\", \"lebanese\": \"libanais-moyen-orient\",\n \"kebab\": \"libanais-moyen-orient\", \"mexican\": \"mexicain\", \"greek\": \"grec\",\n \"mediterranean\": \"mediterraneen\", \"seafood\": \"fruits-de-mer\",\n \"fish_and_chips\": \"fruits-de-mer\", \"french\": \"francais\",\n \"breakfast\": \"dejeuner-brunch\", \"brunch\": \"dejeuner-brunch\",\n \"crepe\": \"dejeuner-brunch\", \"coffee_shop\": \"cafe-dessert\",\n \"ice_cream\": \"cafe-dessert\", \"dessert\": \"cafe-dessert\",\n \"donut\": \"cafe-dessert\", \"bubble_tea\": \"cafe-dessert\",\n \"vegan\": \"vegetarien-vegan\", \"vegetarian\": \"vegetarien-vegan\",\n \"barbecue\": \"bbq-grillades\", \"steak_house\": \"bbq-grillades\",\n \"grill\": \"bbq-grillades\", \"poutine\": \"quebecois\", \"regional\": \"quebecois\",\n \"canadian\": \"quebecois\", \"sandwich\": \"fast-food\", \"friture\": \"quebecois\",\n \"asian\": \"chinois\", \"ramen\": \"sushi-japonais\", \"poke\": \"sushi-japonais\",\n \"shawarma\": \"libanais-moyen-orient\", \"falafel\": \"libanais-moyen-orient\",","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2d079eff-c55e-421d-8ec0-0dc36d04bf33","timestamp":"2026-08-23T04:56:00.888Z","tool_use_result":{"stdout":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: restoka/connectors/osm.py\n# Desc: Connecteur de DÉCOUVERTE OpenStreetMap (Palier 4) — TOUS les\n# établissements où l'on mange au Québec : restaurants, fast-foods,\n# cafés, bars/pubs, crèmeries, foires alimentaires, boulangeries-\n# pâtisseries. C'est la couche « exhaustivité » de Resto·Ka : des\n# milliers de fiches (nom, adresse, GPS, cuisine, horaires, contact),\n# SANS menu — les connecteurs de menus (UEAT…) viennent s'y greffer\n# par déduplication.\n#\n# Mode d'extraction : API Overpass (miroirs publics, requêtes par type\n# d'établissement, aire administrative « Québec » 3600061549).\n# Base légale : données © contributeurs OpenStreetMap, licence ODbL —\n# attribution affichée sur le site (pages Sources et pied de page).\n# Politesse : 1 requête par type, timeout large, miroirs en rotation.\n#\n# Contexte de prix produit : AUCUN (pas de menu — fiche de découverte).\n# ==============================================================================\nfrom __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)\nTARGETS = [\n (\"amenity\", \"restaurant\", \"restaurant\"),\n (\"amenity\", \"fast_food\", \"fast-food\"),\n (\"amenity\", \"cafe\", \"cafe\"),\n (\"amenity\", \"bar\", \"bar\"),\n (\"amenity\", \"pub\", \"bar\"),\n (\"amenity\", \"ice_cream\", \"cafe\"),\n (\"amenity\", \"food_court\", \"fast-food\"),\n (\"shop\", \"bakery\", \"boulangerie-patisserie\"),\n (\"shop\", \"pastry\", \"boulangerie-patisserie\"),\n]\n\n# cuisine=* OSM -> taxonomie Resto·Ka (§6.1) ; multi-valué « a;b;c »\n_CUISINE_MAP = {\n \"pizza\": \"pizza\", \"italian\": \"italien\", \"burger\": \"burgers\",\n \"chicken\": \"poulet\", \"sushi\": \"sushi-japonais\", \"japanese\": \"sushi-japonais\",\n \"chinese\": \"chinois\", \"thai\": \"thai\", \"vietnamese\": \"vietnamien\",\n \"korean\": \"coreen\", \"indian\": \"indien\", \"lebanese\": \"libanais-moyen-orient\",\n \"kebab\": \"libanais-moyen-orient\", \"mexican\": \"mexicain\", \"greek\": \"grec\",\n \"mediterranean\": \"mediterraneen\", \"seafood\": \"fruits-de-mer\",\n \"fish_and_chips\": \"fruits-de-mer\", \"french\": \"francais\",\n \"breakfast\": \"dejeuner-brunch\", \"brunch\": \"dejeuner-brunch\",\n \"crepe\": \"dejeuner-brunch\", \"coffee_shop\": \"cafe-dessert\",\n \"ice_cream\": \"cafe-dessert\", \"dessert\": \"cafe-dessert\",\n \"donut\": \"cafe-dessert\", \"bubble_tea\": \"cafe-dessert\",\n \"vegan\": \"vegetarien-vegan\", \"vegetarian\": \"vegetarien-vegan\",\n \"barbecue\": \"bbq-grillades\", \"steak_house\": \"bbq-grillades\",\n \"grill\": \"bbq-grillades\", \"poutine\": \"quebecois\", \"regional\": \"quebecois\",\n \"canadian\": \"quebecois\", \"sandwich\": \"fast-food\", \"friture\": \"quebecois\",\n \"asian\": \"chinois\", \"ramen\": \"sushi-japonais\", \"poke\": \"sushi-japonais\",\n \"shawarma\": \"libanais-moyen-orient\", \"falafel\": \"libanais-moyen-orient\",","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"baa9109c-f666-42cb-8f21-ebb9646d5d81","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5ugL1TpSDPjsExaoWo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M9bfWqGbnd4GsoRsSaX5n1","name":"Bash","input":{"command":"ssh M3U96b \"curl -s 'http://127.0.0.1:8115/api/stats' | python3 -c \\\"\nimport json,sys\nd=json.load(sys.stdin)\ndef walk(o,path=''):\n if isinstance(o,dict):\n for k,v in o.items(): walk(v,path+'/'+k)\n elif isinstance(o,list) and path.endswith(('syncs','sync_log')):\n for e in o[-8:]:\n print(path, e if not isinstance(e,dict) else {k:e.get(k) for k in ('source','ts','found','ok','message','date') if k in e})\nwalk(d)\n\\\" 2>/dev/null | grep -i osm | tail -10\"","description":"Check resto-ka own sync log for OSM entries"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2659,"cache_read_input_tokens":102738,"cache_creation":{"ephemeral_5m_input_tokens":2659,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e306748a-32b3-4a28-8f23-a387347a3ff4","request_id":"req_011CeK5uerTSYCVSA9rtJ5oY"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M9bfWqGbnd4GsoRsSaX5n1","type":"tool_result","content":"/recent_syncs {'source': 'osm', 'ts': 1787048318.482427, 'found': 13365, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}\n/recent_syncs {'source': 'osm', 'ts': 1787037174.6833339, 'found': 8616, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}\n/recent_syncs {'source': 'osm', 'ts': 1787036074.795821, 'found': 12725, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"de960c77-a9ee-4ec2-ae06-3869a49366f5","timestamp":"2026-08-23T04:56:06.436Z","tool_use_result":{"stdout":"/recent_syncs {'source': 'osm', 'ts': 1787048318.482427, 'found': 13365, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}\n/recent_syncs {'source': 'osm', 'ts': 1787037174.6833339, 'found': 8616, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}\n/recent_syncs {'source': 'osm', 'ts': 1787036074.795821, 'found': 12725, 'ok': 1, 'message': 'run partiel signalé par le connecteur — retraits suspendus'}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4cab971b-4823-4454-ad66-71361ef3ebaf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"17735650-5a5b-4a66-8d10-37421e3e5dd0","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"65a76e10-069a-4a42-b546-a3d0f8102101","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"c0091362-2e5b-4bde-bfda-d9d809e9c6fe","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5v65Wa9ExfFoGq62Wz","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":552,"cache_read_input_tokens":105397,"cache_creation":{"ephemeral_5m_input_tokens":552,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"34f8b4dc-1454-4bc2-851b-77b707fd6833","request_id":"req_011CeK5v4aU7Qm22d1LuaVVy"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5v65Wa9ExfFoGq62Wz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BKfbsnvAWZnx3qwXyzakJM","name":"Bash","input":{"command":"ssh M3U96b \"curl -s 'http://127.0.0.1:8115/api/stats' | python3 -c \\\"\nimport json,sys,datetime\nd=json.load(sys.stdin)\nrs=d.get('recent_syncs') or d.get('data',{}).get('recent_syncs') or []\nfor e in rs:\n if e.get('source') in ('osm','ubereats'):\n print(e['source'], datetime.datetime.fromtimestamp(e['ts']).isoformat(), 'found:', e.get('found'), 'ok:', e.get('ok'), e.get('message','')[:80])\n\\\"\"","description":"Full osm/ubereats sync history from resto-ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":552,"cache_read_input_tokens":105397,"cache_creation":{"ephemeral_5m_input_tokens":552,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5915d957-8703-4211-82cc-8e4713b25930","request_id":"req_011CeK5v4aU7Qm22d1LuaVVy"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BKfbsnvAWZnx3qwXyzakJM","type":"tool_result","content":"ubereats 2026-08-22T14:34:01.837108 found: 1 ok: 1 1 resto(s) croisés Uber Eats (1 menu(s) livraison), 20 sans correspondance, budg\nosm 2026-08-22T14:27:09.817907 found: 0 ok: 1 dérive: 0 resto(s) trouvé(s) contre un maximum historique de 13365 — retraits su\nubereats 2026-08-18T16:53:46.551973 found: 4 ok: 1 4 resto(s) croisés Uber Eats (4 menu(s) livraison), 20 sans correspondance, budg\nosm 2026-08-18T16:49:20.042977 found: 8632 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nubereats 2026-08-18T06:25:25.258373 found: 7 ok: 1 7 resto(s) croisés Uber Eats (6 menu(s) livraison), 19 sans correspondance, budg\nosm 2026-08-18T06:18:38.482427 found: 13365 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nosm 2026-08-18T03:12:54.683334 found: 8616 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nosm 2026-08-18T02:54:34.795821 found: 12725 ok: 1 run partiel signalé par le connecteur — retraits suspendus","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f36f0d49-2f9b-429e-af8d-7c27bbf66f90","timestamp":"2026-08-23T04:56:13.985Z","tool_use_result":{"stdout":"ubereats 2026-08-22T14:34:01.837108 found: 1 ok: 1 1 resto(s) croisés Uber Eats (1 menu(s) livraison), 20 sans correspondance, budg\nosm 2026-08-22T14:27:09.817907 found: 0 ok: 1 dérive: 0 resto(s) trouvé(s) contre un maximum historique de 13365 — retraits su\nubereats 2026-08-18T16:53:46.551973 found: 4 ok: 1 4 resto(s) croisés Uber Eats (4 menu(s) livraison), 20 sans correspondance, budg\nosm 2026-08-18T16:49:20.042977 found: 8632 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nubereats 2026-08-18T06:25:25.258373 found: 7 ok: 1 7 resto(s) croisés Uber Eats (6 menu(s) livraison), 19 sans correspondance, budg\nosm 2026-08-18T06:18:38.482427 found: 13365 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nosm 2026-08-18T03:12:54.683334 found: 8616 ok: 1 run partiel signalé par le connecteur — retraits suspendus\nosm 2026-08-18T02:54:34.795821 found: 12725 ok: 1 run partiel signalé par le connecteur — retraits suspendus","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6bdca07b-2c1c-4b9b-8c50-b9ec3e55fb94","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"208870d3-7487-4914-9472-b1b4744b439b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"3497c6c2-8294-44bc-8a10-52b003333cc5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"ff2ca939-2684-401c-b345-215770f728b8","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"84e6c67d-c1e8-42e0-bcd3-24bb992806d0","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5vfNEh2NzBBsVjMRR3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISxggKpwEIERgCKkCuwzGBLqTpnApM5EjPv9ownGBee10sRtgyFy4G/Z5YAQvFffCI1ntSERmnmg0QL++Mkwr7X3IBInbnQVhncLexMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAH3+qnUBrABAhIMGZFmoCAfk8W2LT2PGgwe9KeSgnQbVsJnyQ0iMDIcOdYB6FAR8GQEovq4KsC4ehrpTaaGeB8fb0etB0pqXsC3T8udbqxiwxWziesvrCrLBsDDpcDCeuy034O76ao/U/3Fb1ahtCzeItRJEqAJH/D++UUottDt5/eV4DOSo74Z45okpPOYTYdGrfFBrCNsLLm6VCjqUlzx9kbLj75/T5s0CBYnyCxAldnygd0fqy2gmy4MF0Z7YKlJBcT8g/5ZfGvdm4Aqq7NUsM3jUT02j+jsNKJauZ0Bi4hv2O8xM0NQ1UiCjQjKCgSIoHVjRUXr11bAuLNvb3qt9lD74Gw9dR7eR9eXdExD/vcB3z2JDXrdZ+gN81xFaddFkLNJIDhzRKxL5v3G6bbgJb41LGTPrrdVb3YokLeLqi+gw+2lRsAacQhXUffRDrJu6koxf7+unclrLUvinWpzpmYuAr5rMT8ZrzeZfBPAVlso2dGzqko4TkK0XmlecZ5d9aduBMg1rOKGHcZXoosf3EvsPqxMGysIy4fYfmPunOxyVcD0S0nfMORClYjGGgnlMfOZ917gqpvmEhFiVNqg7V3G5InAQKidunYRS1pVwK9QqJQksKA3/DsObsBBuSX7Ft8t4/qMLj2wsKpXmu/QbbdEpXM2b4obR4SlU1TyUKG4pvfJ1mKfHm8l7JsbioxEUidIoSzn4WV79Q4JeXovZR7oMTVDP34TM8bc25Xj+JJ0r3vOgM0uve0kXvTp6X53LPy0sWwQP/rrHxx4XGOJM9S20Tfk05oguA9OxYkjZ5FTf3NjHyj4O2WsPKH41GnNBR6SR4kj2IxAd0IG+lXcLEtOC7uI2qCy6lWQHtd0BJ2gF9sBG9jaD5gF10KBe78PZPM7DHR02cmmVsYD7N4XXkIIQjJxFRBWCI4Ne0SUseWJEzioaqqr0qZga0W0W8xk8WCG8eAwKVVLvWVMshLqmwGxtjYFX7oD/DSBNhNleLow15s/8lNaBun+tUBngf+UeUpzIRyJluDnd6uGTKrT6uJLAIBqtCbAKsGQdyiDOVOF2K38RnmBbtC7LsGwYwMd/snLERO5VFUZQ7IYToBN0sP4LZwmz0ikeJGcQujVkLsZQBJ1zUfiGChl4mwn7rs+GuVranHlngnr5N++us2PyEPrZLsiSjQaBiWGrhc5I4I1H2VaYmm5Lvb6BIrzkOMPaMe7BN4lnBbmnVIdTCvzqhMFohgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1021,"cache_read_input_tokens":105949,"cache_creation":{"ephemeral_5m_input_tokens":1021,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e83bc7b9-dd57-4f23-9d12-16007a878327","request_id":"req_011CeK5vcrgNmH4ZWrHikPRF"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5vfNEh2NzBBsVjMRR3","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":1021,"cache_read_input_tokens":105949,"cache_creation":{"ephemeral_5m_input_tokens":1021,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"69f28455-5675-4cf4-bf60-b6150c5e47f4","request_id":"req_011CeK5vcrgNmH4ZWrHikPRF"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5vfNEh2NzBBsVjMRR3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FKT8dp5u6RScRjTJcXCwa3","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"100,190p\" ~/apps/resto-ka/restoka/connectors/osm.py'","description":"Read OSM connector fetch logic"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1021,"cache_read_input_tokens":105949,"cache_creation":{"ephemeral_5m_input_tokens":1021,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"23a852c3-ad20-43fe-90f4-5c293b9edba0","request_id":"req_011CeK5vcrgNmH4ZWrHikPRF"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FKT8dp5u6RScRjTJcXCwa3","type":"tool_result","content":" \"hotdog\": \"fast-food\", \"hot_dog\": \"fast-food\", \"deli\": \"fast-food\",\n \"bagel\": \"dejeuner-brunch\", \"pancake\": \"dejeuner-brunch\",\n \"waffle\": \"cafe-dessert\", \"cake\": \"cafe-dessert\",\n \"chocolate\": \"cafe-dessert\", \"tea\": \"cafe-dessert\",\n \"juice\": \"cafe-dessert\", \"coffee\": \"cafe-dessert\",\n \"pasta\": \"italien\", \"oysters\": \"fruits-de-mer\", \"fish\": \"fruits-de-mer\",\n \"smoked_meat\": \"quebecois\", \"sugar_shack\": \"quebecois\",\n}\n\n# diet:*=yes|only|limited -> options alimentaires (§6) ; « limited » = offre\n# partielle, on l'affiche quand même (mieux vaut signaler l'option qui existe)\n_DIET_TAGS = {\n \"diet:vegan\": \"vegan\", \"diet:vegetarian\": \"vegetarien\",\n \"diet:gluten_free\": \"sans-gluten\", \"diet:halal\": \"halal\",\n \"diet:kosher\": \"casher\",\n}\n\n# payment:* -> étiquettes de service (modes de paiement acceptés)\n_PAYMENT_TAGS = {\n \"payment:cash\": \"paiement-comptant\",\n \"payment:credit_cards\": \"paiement-credit\",\n \"payment:visa\": \"paiement-credit\",\n \"payment:mastercard\": \"paiement-credit\",\n \"payment:american_express\": \"paiement-credit\",\n \"payment:debit_cards\": \"paiement-debit\",\n \"payment:interac\": \"paiement-debit\",\n}\n\n\nclass OsmConnector(BaseConnector):\n source_id = \"osm\"\n request_delay = 3.0 # politesse Overpass : requêtes lourdes\n timeout = 240\n use_detail_cache = False # une seule passe, pas de pages détail\n\n def _overpass(self, key: str, value: str) -> list[dict]:\n \"\"\"Une requête Overpass (nœuds + centres de chemins), miroirs en rotation.\"\"\"\n query = (\n f'[out:json][timeout:180];'\n f'(node[\"{key}\"=\"{value}\"](area:{QC_AREA});'\n f'way[\"{key}\"=\"{value}\"](area:{QC_AREA}););'\n f'out tags center;'\n )\n last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")\n\n # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI\n _DEFAULT_CUISINE = {\n \"ice_cream\": \"cafe-dessert\", \"cafe\": \"cafe-dessert\",\n \"bakery\": \"cafe-dessert\", \"pastry\": \"cafe-dessert\",\n \"fast_food\": \"fast-food\", \"food_court\": \"fast-food\",\n }\n\n @classmethod\n def _cuisines(cls, tags: dict, name: str, value: str) -> list[str]:\n vals = [v.strip().lower() for v in (tags.get(\"cuisine\") or \"\").split(\";\") if v.strip()]\n out: list[str] = []\n for v in vals:\n mapped = _CUISINE_MAP.get(v)\n if mapped and mapped not in out:\n out.append(mapped)\n if not out:\n out = classify_cuisines(name)\n if out == [\"autre\"] and value in cls._DEFAULT_CUISINE:\n out = [cls._DEFAULT_CUISINE[value]]\n return out[:4]","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"35877c59-d3bf-4399-b0f3-49ac5d0470cf","timestamp":"2026-08-23T04:56:24.581Z","tool_use_result":{"stdout":" \"hotdog\": \"fast-food\", \"hot_dog\": \"fast-food\", \"deli\": \"fast-food\",\n \"bagel\": \"dejeuner-brunch\", \"pancake\": \"dejeuner-brunch\",\n \"waffle\": \"cafe-dessert\", \"cake\": \"cafe-dessert\",\n \"chocolate\": \"cafe-dessert\", \"tea\": \"cafe-dessert\",\n \"juice\": \"cafe-dessert\", \"coffee\": \"cafe-dessert\",\n \"pasta\": \"italien\", \"oysters\": \"fruits-de-mer\", \"fish\": \"fruits-de-mer\",\n \"smoked_meat\": \"quebecois\", \"sugar_shack\": \"quebecois\",\n}\n\n# diet:*=yes|only|limited -> options alimentaires (§6) ; « limited » = offre\n# partielle, on l'affiche quand même (mieux vaut signaler l'option qui existe)\n_DIET_TAGS = {\n \"diet:vegan\": \"vegan\", \"diet:vegetarian\": \"vegetarien\",\n \"diet:gluten_free\": \"sans-gluten\", \"diet:halal\": \"halal\",\n \"diet:kosher\": \"casher\",\n}\n\n# payment:* -> étiquettes de service (modes de paiement acceptés)\n_PAYMENT_TAGS = {\n \"payment:cash\": \"paiement-comptant\",\n \"payment:credit_cards\": \"paiement-credit\",\n \"payment:visa\": \"paiement-credit\",\n \"payment:mastercard\": \"paiement-credit\",\n \"payment:american_express\": \"paiement-credit\",\n \"payment:debit_cards\": \"paiement-debit\",\n \"payment:interac\": \"paiement-debit\",\n}\n\n\nclass OsmConnector(BaseConnector):\n source_id = \"osm\"\n request_delay = 3.0 # politesse Overpass : requêtes lourdes\n timeout = 240\n use_detail_cache = False # une seule passe, pas de pages détail\n\n def _overpass(self, key: str, value: str) -> list[dict]:\n \"\"\"Une requête Overpass (nœuds + centres de chemins), miroirs en rotation.\"\"\"\n query = (\n f'[out:json][timeout:180];'\n f'(node[\"{key}\"=\"{value}\"](area:{QC_AREA});'\n f'way[\"{key}\"=\"{value}\"](area:{QC_AREA}););'\n f'out tags center;'\n )\n last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")\n\n # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI\n _DEFAULT_CUISINE = {\n \"ice_cream\": \"cafe-dessert\", \"cafe\": \"cafe-dessert\",\n \"bakery\": \"cafe-dessert\", \"pastry\": \"cafe-dessert\",\n \"fast_food\": \"fast-food\", \"food_court\": \"fast-food\",\n }\n\n @classmethod\n def _cuisines(cls, tags: dict, name: str, value: str) -> list[str]:\n vals = [v.strip().lower() for v in (tags.get(\"cuisine\") or \"\").split(\";\") if v.strip()]\n out: list[str] = []\n for v in vals:\n mapped = _CUISINE_MAP.get(v)\n if mapped and mapped not in out:\n out.append(mapped)\n if not out:\n out = classify_cuisines(name)\n if out == [\"autre\"] and value in cls._DEFAULT_CUISINE:\n out = [cls._DEFAULT_CUISINE[value]]\n return out[:4]","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5vfNEh2NzBBsVjMRR3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Xk7TcXh1uhjXp131wLXAwU","name":"Bash","input":{"command":"ssh M3U96b 'grep -iE \"overpass|osm\" ~/.pm2/logs/resto-ka-sync-error.log | tail -15'","description":"Check overpass errors in resto-ka error log"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1021,"cache_read_input_tokens":105949,"cache_creation":{"ephemeral_5m_input_tokens":1021,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f09461d0-6e54-4dd2-a39f-e37300a797e1","request_id":"req_011CeK5vcrgNmH4ZWrHikPRF"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xk7TcXh1uhjXp131wLXAwU","type":"tool_result","content":"[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: amenity=food_court ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus\n[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (502 Server Error: Bad Gateway for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: shop=bakery ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus\n[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: shop=pastry ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6c87d06e-bac4-40ec-829e-8ba1d07ce15c","timestamp":"2026-08-23T04:56:25.499Z","tool_use_result":{"stdout":"[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: amenity=food_court ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus\n[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (502 Server Error: Bad Gateway for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: shop=bakery ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus\n[resto-ka] osm: https://overpass.kumi.systems/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.kumi.systems/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass-api.de/api/interpreter a échoué (HTTPSConnectionPool(host='overpass-api.de', port=443): Max retries exceeded with url: /api/interpreter (Caused by NewConnectionError(\"HTTPSConnection(host='overpass-api.de', port=443): Failed to establish a new connection: [Errno 65] No route to host\"))), miroir suivant\n[resto-ka] osm: https://overpass.private.coffee/api/interpreter a échoué (500 Server Error: Internal Server Error for url: https://overpass.private.coffee/api/interpreter), miroir suivant\n[resto-ka] osm: https://overpass.osm.jp/api/interpreter a échoué (HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))), miroir suivant\n[resto-ka] osm: shop=pastry ÉCHEC sur tous les miroirs (tous les miroirs Overpass ont échoué : HTTPSConnectionPool(host='overpass.osm.jp', port=443): Max retries exceeded with url: /api/interpreter (Caused by SSLError(SSLCertVerificationError(1, \"[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: Hostname mismatch, certificate is not valid for 'overpass.osm.jp'. (_ssl.c:1081)\")))) — run marqué partiel, retraits suspendus","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d3fb4b0b-2c84-47fe-8f40-b315dad463ed","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"699eafbc-d52e-4997-af06-43346bb23f8f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"a3b26471-5002-4d50-b957-a2f18f7b0441","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":100,"uuid":"ac10224a-7ee3-4003-becb-94f6f3f37eb6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5wVjah8zsq6dbQRNhe","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS6AwKpwEIERgCKkCtPegcPLP1MXTqBaUZK7lr/1LF5UwXl9kwY8AJXtzQ0Cg+q4k5fGc9MF9iN6QrbbzbMMhobFuiN6y2DYJ/X6P/Mg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGH+6nUBrABAhIMaDT0S1qYsRlNl1vuGgy0n5lTePx/glXHKToiMORhCK0GDF0k5DLhGsalvr58cv1H01x9oRH9g4lTLL9cprsP7kFJXt23RU3gdNnBvyrtCoxCKzR8LnkQg+KEKV5fhFgEmLzqABp10tcbAJcjbX/P/9azPKRq03JmmdXaeWNCGeVwpOeXPYD18mfYoda5GtxsF6Mh6TQrBeOTpXoUIHe1o45JqcHwZHGrbfc7786SY7XUV7Uh8qY2DghlvELpdttg48ieO9FfQCGvtyf/uiyAA+GRlJrz/sNZ+53R9GCqPp+KYnSuTC9DW20nlCRmi7BxDZvOwGwFeHSdVg7XyzVUJt+GbuRSW/zDfpg34SI2Wej1D1a4SDsks6hKS5SoWg5YPLCOuJY7POnKOyuQaZrh6qIGOQ0Gp78nldS4P7ANM/ORDNKv6CK/AVJ2DHNAdzsHWRz2FcbvDOFj0RTaEfeDThRVh+9sABpLmfZhVjoXnQE9yULxzqNJvZ8x0Ot7P34EsRahF54Libfi8vVwZUvsWxyYE8HtIT9z/4QWAlQpMHehwxpaVBzaCvwY1tN4Dz18UTUJ5hzD3ucniGw2Nml60F1FMRl7MChJpjl/8QyCU2oFEXcF9M+7089W9h+XAYKQPE8peGhKWUo7NZ7f/pvArTeLFrzAb8+gxNvrgO2humqOtWJwoRusy5iXVxbcyZTnEJhQAZz+wZgO310BsMfC3PffvkpSdTfxMzacOJuVb7vm2xepeY5WKaFeHBCEkxnaFvzDGzbLO+KTzBj5/w0Un+9OIbv/0yMAwAJwwLs5xUpRhStSaHe0jxWjBmlIZUT7UANNosJ/cTtT3ifZrWHnertC1soKZKUbTIS3zluYuLB2PLoxiaVsVnm+DtaNded8+6FoXMMdta+IJqelrxl76SyDUDaeSX6Da6dYSgWhxiNwbJz01YtOyRe8dlLwhroe/rJd6eziUu0tJgSvLn2QWLz+LFxXYOCtNHFjQonl5N9WWDENA6kixwDVO3mkmKSnlSnahna2fXsmCnT+pbRTB8goepjzOIrxdzptBxgpxruKS52Y8qFkcoIfPqq5ha3vo34Cbp/e3VbjEXuc2AEl2yULjtIPiRUVGnu49dd9PnaCKA2PJVXw+ds4RcWJcwYZJmHwLcsTgTp5YMn6fD9fITdEzK38IkcA6Vh6+C+kCcvicOkQ+NjRRoYrUT7RG6EY0h3R2za9wSQBr2YIqAI3UkGkiwk8/1MlxmVNXXQJgFumTh0dRL/pqTpw8IYWj6yYoLJrt5ZH4tp3gmJxW4CFyBMH+p//TOaLNRT4/tcjkAd6CT9qE1cWjzr4S5/muCZZWqzZITjh/i70TQ8n+h83z9uCsrNEJx3EB98asgqQQmCh/onsvQIHTvelloemYKsakDnnY6TlMaaYjt+lHdWaIkCuEls9Unjlr9Axoz8KX3b0rK9XiALb+urMZA2qAhLfgkYiFH3pNhRsIw45HGcDHco9ccSqXZ9ymaXU0ROBQlRzd5x96bRgMkdm0k5gvqETD7wQBlx344n69UYHhWj4T/+13BhmldMMqW+bLAgXwz+rURCJA9SMEmxyPjlQeZEgjsNZSqxxNNBMxh9jOqqwJxew0u3bH/u7AHHjlK+Op8ENptyYMWlGKSxNPnQTGNR94VxhQ8Y2gRORb5O7821afYaaiEKg7ajZlotsi7rdH+YJtD9LPRrYioNnUrjvlXoY30Wmhjfq16khs0pTTaoBdy79damkyEHrO/W4k+bafHFlW9pLxmbw4hlFZDHbcVveXcRGuqDOGntK4aJEKsHjghDYSqYHPx0dpaPGrirutuFmI0mU8PIJPFwBtHhuxkbN8IRb2XGAqqTcxTuSAvcrjKpNqnaccnbTw9iqpjVB4FjSsw6EHSR8ZXY4y9AlsREriCPBAVhnmPo/xbK4MrmsPbXnIvQNrmosuxTHZBgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":4550,"cache_read_input_tokens":106970,"cache_creation":{"ephemeral_5m_input_tokens":4550,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7edc0e4d-2634-48bb-a984-da451603f98c","request_id":"req_011CeK5wU1txXHiMvRfnDPYo"}} 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{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"b3ldme1t9","tool_use_id":"toolu_01MkXEQSwqqXJ4zL9THz3JK9","status":"completed","output_file":"","summary":"Test all Overpass mirrors from M3U96b","uuid":"569088c5-30c6-43c2-8d37-bf3c6e4385a7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MkXEQSwqqXJ4zL9THz3JK9","type":"tool_result","content":"https://overpass.kumi.systems/api/interpreter -> 500\nhttps://overpass-api.de/api/interpreter -> 000\nhttps://overpass.private.coffee/api/interpreter -> 500\nhttps://overpass.osm.jp/api/interpreter -> 000\nhttps://maps.mail.ru/osm/tools/overpass/api/interpreter -> 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5yXDvk7ppMsnJoxEQR","type":"message","role":"assistant","content":[{"type":"text","text":"`maps.mail.ru` fonctionne (200) — c'est un miroir Overpass complet. Je vérifie si overpass-api.de est un problème IPv6 et si kumi 500 est spécifique à notre requête."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1494,"cache_read_input_tokens":111520,"cache_creation":{"ephemeral_5m_input_tokens":1494,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"36540b74-3c2a-4f4f-a45c-4f8a2d6f7d22","request_id":"req_011CeK5yVmd1CVH7iD55QZYD"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5yXDvk7ppMsnJoxEQR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018b4SseikCUxPhVNCFvSU6r","name":"Bash","input":{"command":"ssh M3U96b 'echo \"--- overpass-api.de IPv4:\"; curl -4 -s -o /dev/null -w \"%{http_code}\\n\" -m 20 --data-urlencode 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018b4SseikCUxPhVNCFvSU6r","type":"tool_result","content":"--- overpass-api.de IPv4:\n000\n--- kumi body:\nInternal Server Error","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ff4c61c1-d0b8-43d5-bff2-751f836ad24f","timestamp":"2026-08-23T04:57:05.273Z","tool_use_result":{"stdout":"--- overpass-api.de IPv4:\n000\n--- kumi body:\nInternal Server Error","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"9b46933e-046e-45ab-8817-696e0e4f9e08","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"93b4b6e3-e043-4c98-a4ba-21992f4aadd3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK5zSYvc5BazQk8uzi2P","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A9RPTwdWkj53oz5u7T5zhx","name":"Bash","input":{"command":"ssh M3U96b 'grep -n \"def post\\|def get\\|request_delay\\|def fetch\\|import time\" ~/apps/resto-ka/restoka/connectors/base.py | head -10; sed -n \"190,240p\" ~/apps/resto-ka/restoka/connectors/osm.py'","description":"Check base connector and rest of 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url: str) -> str:\n138: def get_scrapfly(self, url: str, **kw) -> str:\n164: def fetch(self) -> list[Restaurant]:\n\n def _to_restaurant(self, el: dict, etype: str,\n value: str = \"\") -> Restaurant | None:\n tags = el.get(\"tags\") or {}\n name = (tags.get(\"name\") or \"\").strip()\n if not name:\n return None # un POI sans nom est inutilisable\n # marque/chaîne (brand=*) -> colonne chain ; branch=* = nom de la\n # succursale, suffixé au nom (même convention que UEAT « Marque — Succ. »)\n chain = (tags.get(\"brand\") or \"\").strip() or None\n branch = (tags.get(\"branch\") or \"\").strip()\n if branch and branch.lower() not in name.lower():\n name = f\"{name} — {branch}\"\n lat = el.get(\"lat\") or (el.get(\"center\") or {}).get(\"lat\")\n lng = el.get(\"lon\") or (el.get(\"center\") or {}).get(\"lon\")\n civic = (tags.get(\"addr:housenumber\") or \"\").strip()\n street = (tags.get(\"addr:street\") or \"\").strip()\n services = []\n if tags.get(\"takeaway\") in (\"yes\", \"only\"):\n services.append(\"takeout\")\n if tags.get(\"delivery\") == \"yes\":\n services.append(\"delivery\")\n if tags.get(\"takeaway\") != \"only\":\n services.append(\"salle\")\n if tags.get(\"wheelchair\") in (\"yes\", \"designated\", \"limited\"):\n services.append(\"accessible\")\n for t, svc in _PAYMENT_TAGS.items():\n if tags.get(t) == \"yes\" and svc not in services:\n services.append(svc)\n capacity = (tags.get(\"capacity\") or \"\").strip()\n if capacity.isdigit():\n services.append(f\"capacite-{capacity}\")\n hours = {}\n if tags.get(\"opening_hours\"):\n hours[\"osm\"] = tags[\"opening_hours\"]\n # horaires STRUCTURÉS par jour quand la syntaxe est courante\n # (Mo-Fr 11:00-22:00…) ; les cas exotiques restent en brut\n parsed = parse_opening_hours(tags[\"opening_hours\"])\n if parsed:\n hours.update(parsed)\n osm_id = f\"{el.get('type')}/{el.get('id')}\"\n return Restaurant(\n source=self.source_id,\n external_id=osm_id,\n name=name,\n url=f\"https://www.openstreetmap.org/{osm_id}\",\n chain=chain,\n cuisines=self._cuisines(tags, name, value),\n establishment_type=etype,\n address=f\"{civic} {street}\".strip(),\n city=(tags.get(\"addr:city\") or \"\").strip(),","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"63b59a40-2e5c-4f8b-99b9-3bee6e89fde6","timestamp":"2026-08-23T04:57:17.069Z","tool_use_result":{"stdout":"12:import time\n43: request_delay: float = 0.6 # politesse entre requêtes\n55: wait = self.request_delay - (time.time() - self._last_request)\n59: def get(self, url: str, **kw) -> requests.Response:\n67: def post(self, url: str, **kw) -> requests.Response:\n75: def get_rendered(self, url: str) -> str:\n138: def get_scrapfly(self, url: str, **kw) -> str:\n164: def fetch(self) -> list[Restaurant]:\n\n def _to_restaurant(self, el: dict, etype: str,\n value: str = \"\") -> Restaurant | None:\n tags = el.get(\"tags\") or {}\n name = (tags.get(\"name\") or \"\").strip()\n if not name:\n return None # un POI sans nom est inutilisable\n # marque/chaîne (brand=*) -> colonne chain ; branch=* = nom de la\n # succursale, suffixé au nom (même convention que UEAT « Marque — Succ. »)\n chain = (tags.get(\"brand\") or \"\").strip() or None\n branch = (tags.get(\"branch\") or \"\").strip()\n if branch and branch.lower() not in name.lower():\n name = f\"{name} — {branch}\"\n lat = el.get(\"lat\") or (el.get(\"center\") or {}).get(\"lat\")\n lng = el.get(\"lon\") or (el.get(\"center\") or {}).get(\"lon\")\n civic = (tags.get(\"addr:housenumber\") or \"\").strip()\n street = (tags.get(\"addr:street\") or \"\").strip()\n services = []\n if tags.get(\"takeaway\") in (\"yes\", \"only\"):\n services.append(\"takeout\")\n if tags.get(\"delivery\") == \"yes\":\n services.append(\"delivery\")\n if tags.get(\"takeaway\") != \"only\":\n services.append(\"salle\")\n if tags.get(\"wheelchair\") in (\"yes\", \"designated\", \"limited\"):\n services.append(\"accessible\")\n for t, svc in _PAYMENT_TAGS.items():\n if tags.get(t) == \"yes\" and svc not in services:\n services.append(svc)\n capacity = (tags.get(\"capacity\") or \"\").strip()\n if capacity.isdigit():\n services.append(f\"capacite-{capacity}\")\n hours = {}\n if tags.get(\"opening_hours\"):\n hours[\"osm\"] = tags[\"opening_hours\"]\n # horaires STRUCTURÉS par jour quand la syntaxe est courante\n # (Mo-Fr 11:00-22:00…) ; les cas exotiques restent en brut\n parsed = parse_opening_hours(tags[\"opening_hours\"])\n if parsed:\n hours.update(parsed)\n osm_id = f\"{el.get('type')}/{el.get('id')}\"\n return Restaurant(\n source=self.source_id,\n external_id=osm_id,\n name=name,\n url=f\"https://www.openstreetmap.org/{osm_id}\",\n chain=chain,\n cuisines=self._cuisines(tags, name, value),\n establishment_type=etype,\n address=f\"{civic} {street}\".strip(),\n city=(tags.get(\"addr:city\") or \"\").strip(),","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"44ec9137-34c7-432d-94ef-bae9eb472aaf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"52adba6a-a03c-43a1-ac48-2babb61cab40","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":81,"estimated_tokens_delta":31,"uuid":"5549d86d-1190-4941-82f3-4a1b2f0123ca","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015PscGZ4Yx7o1Tnh7KLbYGn","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6c2f87b2-a124-406f-abfc-ee228efe2c0e","timestamp":"2026-08-23T04:57:21.447Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4eb1c5de-22bc-42e2-a167-477263263fb5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK61cmcKLiQ4MxHUfbGZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WNFxmp5XWcR68qppAfkK5U","name":"Read","input":{"file_path":"/tmp/apika-fix/osm.py","offset":20,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":169,"cache_read_input_tokens":115467,"cache_creation":{"ephemeral_5m_input_tokens":169,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a11cdc83-e26c-4351-a425-f52206980992","request_id":"req_011CeK61bFaa8Rs9XK1ZByD3"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WNFxmp5XWcR68qppAfkK5U","type":"tool_result","content":"20\tfrom __future__ import annotations\n21\t\n22\timport sys\n23\t\n24\tfrom ..hours import parse_opening_hours\n25\tfrom ..normalize import classify_cuisines\n26\tfrom ..schema import Restaurant\n27\tfrom .base import BaseConnector\n28\t\n29\t# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\n30\tQC_AREA = 3600061549\n31\t\n32\tMIRRORS = [\n33\t \"https://overpass.kumi.systems/api/interpreter\",\n34\t \"https://overpass-api.de/api/interpreter\",\n35\t \"https://overpass.private.coffee/api/interpreter\",\n36\t \"https://overpass.osm.jp/api/interpreter\",\n37\t]\n38\t\n39\t# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n40\t# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n41\t# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n42\t# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n43\t# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\n44\tOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n45\t# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n46\t# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n47\t# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n48\t\n49\t# (clé, valeur, type d'établissement Resto·Ka)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"37d1f267-d606-4ec2-b417-f5e9654fdbe2","timestamp":"2026-08-23T04:57:25.053Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/osm.py","content":"from __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)","numLines":30,"startLine":20,"totalLines":277}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"4e1df6e1-2f73-4a77-8948-410489231907","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK61u4Piw59HhUKZNavB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012teU7QRFhSL7bSDPnqa2YS","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/osm.py","old_string":"from __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours","new_string":"from __future__ import annotations\n\nimport sys\nimport time\n\nfrom ..hours import parse_opening_hours"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":753,"cache_read_input_tokens":115636,"cache_creation":{"ephemeral_5m_input_tokens":753,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"07340fcc-2561-4b6a-8ead-eb478c579018","request_id":"req_011CeK61s2cBLsgUMUxKgwpW"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012teU7QRFhSL7bSDPnqa2YS","type":"tool_result","content":"The file /tmp/apika-fix/osm.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4519bc38-06ff-42f4-aafa-fb867252c82a","timestamp":"2026-08-23T04:57:28.805Z","tool_use_result":{"filePath":"/tmp/apika-fix/osm.py","oldString":"from __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours","newString":"from __future__ import annotations\n\nimport sys\nimport time\n\nfrom ..hours import parse_opening_hours","originalFile":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: restoka/connectors/osm.py\n# Desc: Connecteur de DÉCOUVERTE OpenStreetMap (Palier 4) — TOUS les\n# établissements où l'on mange au Québec : restaurants, fast-foods,\n# cafés, bars/pubs, crèmeries, foires alimentaires, boulangeries-\n# pâtisseries. C'est la couche « exhaustivité » de Resto·Ka : des\n# milliers de fiches (nom, adresse, GPS, cuisine, horaires, contact),\n# SANS menu — les connecteurs de menus (UEAT…) viennent s'y greffer\n# par déduplication.\n#\n# Mode d'extraction : API Overpass (miroirs publics, requêtes par type\n# d'établissement, aire administrative « Québec » 3600061549).\n# Base légale : données © contributeurs OpenStreetMap, licence ODbL —\n# attribution affichée sur le site (pages Sources et pied de page).\n# Politesse : 1 requête par type, timeout large, miroirs en rotation.\n#\n# Contexte de prix produit : AUCUN (pas de menu — fiche de découverte).\n# ==============================================================================\nfrom __future__ import annotations\n\nimport sys\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)\nTARGETS = [\n (\"amenity\", \"restaurant\", \"restaurant\"),\n (\"amenity\", \"fast_food\", \"fast-food\"),\n (\"amenity\", \"cafe\", \"cafe\"),\n (\"amenity\", \"bar\", \"bar\"),\n (\"amenity\", \"pub\", \"bar\"),\n (\"amenity\", \"ice_cream\", \"cafe\"),\n (\"amenity\", \"food_court\", \"fast-food\"),\n (\"shop\", \"bakery\", \"boulangerie-patisserie\"),\n (\"shop\", \"pastry\", \"boulangerie-patisserie\"),\n]\n\n# cuisine=* OSM -> taxonomie Resto·Ka (§6.1) ; multi-valué « a;b;c »\n_CUISINE_MAP = {\n \"pizza\": \"pizza\", \"italian\": \"italien\", \"burger\": \"burgers\",\n \"chicken\": \"poulet\", \"sushi\": \"sushi-japonais\", \"japanese\": \"sushi-japonais\",\n \"chinese\": \"chinois\", \"thai\": \"thai\", \"vietnamese\": \"vietnamien\",\n \"korean\": \"coreen\", \"indian\": \"indien\", \"lebanese\": \"libanais-moyen-orient\",\n \"kebab\": \"libanais-moyen-orient\", \"mexican\": \"mexicain\", \"greek\": \"grec\",\n \"mediterranean\": \"mediterraneen\", \"seafood\": \"fruits-de-mer\",\n \"fish_and_chips\": \"fruits-de-mer\", \"french\": \"francais\",\n \"breakfast\": \"dejeuner-brunch\", \"brunch\": \"dejeuner-brunch\",\n \"crepe\": \"dejeuner-brunch\", \"coffee_shop\": \"cafe-dessert\",\n \"ice_cream\": \"cafe-dessert\", \"dessert\": \"cafe-dessert\",\n \"donut\": \"cafe-dessert\", \"bubble_tea\": \"cafe-dessert\",\n \"vegan\": \"vegetarien-vegan\", \"vegetarian\": \"vegetarien-vegan\",\n \"barbecue\": \"bbq-grillades\", \"steak_house\": \"bbq-grillades\",\n \"grill\": \"bbq-grillades\", \"poutine\": \"quebecois\", \"regional\": \"quebecois\",\n \"canadian\": \"quebecois\", \"sandwich\": \"fast-food\", \"friture\": \"quebecois\",\n \"asian\": \"chinois\", \"ramen\": \"sushi-japonais\", \"poke\": \"sushi-japonais\",\n \"shawarma\": \"libanais-moyen-orient\", \"falafel\": \"libanais-moyen-orient\",\n \"tapas\": \"mediterraneen\", \"portuguese\": \"mediterraneen\",\n \"spanish\": \"mediterraneen\", \"american\": \"burgers\", \"diner\": \"dejeuner-brunch\",\n # valeurs OSM courantes au QC, non couvertes par la v1\n \"belgian\": \"francais\", \"bistro\": \"francais\", \"brasserie\": \"francais\",\n \"turkish\": \"libanais-moyen-orient\", \"persian\": \"libanais-moyen-orient\",\n \"iranian\": \"libanais-moyen-orient\", \"syrian\": \"libanais-moyen-orient\",\n \"afghan\": \"libanais-moyen-orient\", \"pita\": \"libanais-moyen-orient\",\n \"moroccan\": \"mediterraneen\", \"tunisian\": \"mediterraneen\",\n \"gyro\": \"grec\", \"pakistani\": \"indien\", \"bangladeshi\": \"indien\",\n \"sri_lankan\": \"indien\", \"nepalese\": \"indien\",\n \"cantonese\": \"chinois\", \"szechuan\": \"chinois\", \"sichuan\": \"chinois\",\n \"hong_kong\": \"chinois\", \"taiwanese\": \"chinois\", \"dim_sum\": \"chinois\",\n \"dumpling\": \"chinois\", \"noodle\": \"chinois\", \"noodles\": \"chinois\",\n \"malaysian\": \"thai\", \"indonesian\": \"thai\", \"filipino\": \"thai\",\n \"teriyaki\": \"sushi-japonais\", \"izakaya\": \"sushi-japonais\",\n \"peruvian\": \"mexicain\", \"brazilian\": \"mexicain\", \"colombian\": \"mexicain\",\n \"salvadoran\": \"mexicain\", \"latin_american\": \"mexicain\",\n \"argentinian\": \"bbq-grillades\", \"steak\": \"bbq-grillades\",\n \"wings\": \"poulet\", \"fried_chicken\": \"poulet\",\n \"hotdog\": \"fast-food\", \"hot_dog\": \"fast-food\", \"deli\": \"fast-food\",\n \"bagel\": \"dejeuner-brunch\", \"pancake\": \"dejeuner-brunch\",\n \"waffle\": \"cafe-dessert\", \"cake\": \"cafe-dessert\",\n \"chocolate\": \"cafe-dessert\", \"tea\": \"cafe-dessert\",\n \"juice\": \"cafe-dessert\", \"coffee\": \"cafe-dessert\",\n \"pasta\": \"italien\", \"oysters\": \"fruits-de-mer\", \"fish\": \"fruits-de-mer\",\n \"smoked_meat\": \"quebecois\", \"sugar_shack\": \"quebecois\",\n}\n\n# diet:*=yes|only|limited -> options alimentaires (§6) ; « limited » = offre\n# partielle, on l'affiche quand même (mieux vaut signaler l'option qui existe)\n_DIET_TAGS = {\n \"diet:vegan\": \"vegan\", \"diet:vegetarian\": \"vegetarien\",\n \"diet:gluten_free\": \"sans-gluten\", \"diet:halal\": \"halal\",\n \"diet:kosher\": \"casher\",\n}\n\n# payment:* -> étiquettes de service (modes de paiement acceptés)\n_PAYMENT_TAGS = {\n \"payment:cash\": \"paiement-comptant\",\n \"payment:credit_cards\": \"paiement-credit\",\n \"payment:visa\": \"paiement-credit\",\n \"payment:mastercard\": \"paiement-credit\",\n \"payment:american_express\": \"paiement-credit\",\n \"payment:debit_cards\": \"paiement-debit\",\n \"payment:interac\": \"paiement-debit\",\n}\n\n\nclass OsmConnector(BaseConnector):\n source_id = \"osm\"\n request_delay = 3.0 # politesse Overpass : requêtes lourdes\n timeout = 240\n use_detail_cache = False # une seule passe, pas de pages détail\n\n def _overpass(self, key: str, value: str) -> list[dict]:\n \"\"\"Une requête Overpass (nœuds + centres de chemins), miroirs en rotation.\"\"\"\n query = (\n f'[out:json][timeout:180];'\n f'(node[\"{key}\"=\"{value}\"](area:{QC_AREA});'\n f'way[\"{key}\"=\"{value}\"](area:{QC_AREA}););'\n f'out tags center;'\n )\n last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")\n\n # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI\n _DEFAULT_CUISINE = {\n \"ice_cream\": \"cafe-dessert\", \"cafe\": \"cafe-dessert\",\n \"bakery\": \"cafe-dessert\", \"pastry\": \"cafe-dessert\",\n \"fast_food\": \"fast-food\", \"food_court\": \"fast-food\",\n }\n\n @classmethod\n def _cuisines(cls, tags: dict, name: str, value: str) -> list[str]:\n vals = [v.strip().lower() for v in (tags.get(\"cuisine\") or \"\").split(\";\") if v.strip()]\n out: list[str] = []\n for v in vals:\n mapped = _CUISINE_MAP.get(v)\n if mapped and mapped not in out:\n out.append(mapped)\n if not out:\n out = classify_cuisines(name)\n if out == [\"autre\"] and value in cls._DEFAULT_CUISINE:\n out = [cls._DEFAULT_CUISINE[value]]\n return out[:4]\n\n def _to_restaurant(self, el: dict, etype: str,\n value: str = \"\") -> Restaurant | None:\n tags = el.get(\"tags\") or {}\n name = (tags.get(\"name\") or \"\").strip()\n if not name:\n return None # un POI sans nom est inutilisable\n # marque/chaîne (brand=*) -> colonne chain ; branch=* = nom de la\n # succursale, suffixé au nom (même convention que UEAT « Marque — Succ. »)\n chain = (tags.get(\"brand\") or \"\").strip() or None\n branch = (tags.get(\"branch\") or \"\").strip()\n if branch and branch.lower() not in name.lower():\n name = f\"{name} — {branch}\"\n lat = el.get(\"lat\") or (el.get(\"center\") or {}).get(\"lat\")\n lng = el.get(\"lon\") or (el.get(\"center\") or {}).get(\"lon\")\n civic = (tags.get(\"addr:housenumber\") or \"\").strip()\n street = (tags.get(\"addr:street\") or \"\").strip()\n services = []\n if tags.get(\"takeaway\") in (\"yes\", \"only\"):\n services.append(\"takeout\")\n if tags.get(\"delivery\") == \"yes\":\n services.append(\"delivery\")\n if tags.get(\"takeaway\") != \"only\":\n services.append(\"salle\")\n if tags.get(\"wheelchair\") in (\"yes\", \"designated\", \"limited\"):\n services.append(\"accessible\")\n for t, svc in _PAYMENT_TAGS.items():\n if tags.get(t) == \"yes\" and svc not in services:\n services.append(svc)\n capacity = (tags.get(\"capacity\") or \"\").strip()\n if capacity.isdigit():\n services.append(f\"capacite-{capacity}\")\n hours = {}\n if tags.get(\"opening_hours\"):\n hours[\"osm\"] = tags[\"opening_hours\"]\n # horaires STRUCTURÉS par jour quand la syntaxe est courante\n # (Mo-Fr 11:00-22:00…) ; les cas exotiques restent en brut\n parsed = parse_opening_hours(tags[\"opening_hours\"])\n if parsed:\n hours.update(parsed)\n osm_id = f\"{el.get('type')}/{el.get('id')}\"\n return Restaurant(\n source=self.source_id,\n external_id=osm_id,\n name=name,\n url=f\"https://www.openstreetmap.org/{osm_id}\",\n chain=chain,\n cuisines=self._cuisines(tags, name, value),\n establishment_type=etype,\n address=f\"{civic} {street}\".strip(),\n city=(tags.get(\"addr:city\") or \"\").strip(),\n postal_code=(tags.get(\"addr:postcode\") or \"\").strip(),\n lat=lat, lng=lng,\n phone=(tags.get(\"phone\") or tags.get(\"contact:phone\") or \"\").strip(),\n website=(tags.get(\"website\") or tags.get(\"contact:website\") or \"\").strip(),\n hours=hours,\n services=services,\n dietary_options=[d for t, d in _DIET_TAGS.items()\n if tags.get(t) in (\"yes\", \"only\", \"limited\")],\n languages=[\"fr\"],\n menu=None, # découverte : pas de menu ici\n )\n\n def fetch(self) -> list[Restaurant]:\n out: dict[str, Restaurant] = {}\n # run partiel : si UN type d'établissement échoue sur tous les miroirs,\n # on continue avec les autres mais on signale le run comme incomplet —\n # le pipeline suspendra alors les retraits (pas de fausses fermetures).\n self.partial_run = False\n for key, value, etype in TARGETS:\n try:\n elements = self._overpass(key, value)\n except Exception as exc:\n self.partial_run = True\n print(f\"[resto-ka] osm: {key}={value} ÉCHEC sur tous les \"\n f\"miroirs ({exc}) — run marqué partiel, retraits \"\n \"suspendus\", file=sys.stderr)\n continue\n kept = 0\n for el in elements:\n resto = self._to_restaurant(el, etype, value)\n if resto is not None and resto.uid not in out:\n out[resto.uid] = resto\n kept += 1\n print(f\"[resto-ka] osm: {key}={value} -> {len(elements)} POI, \"\n f\"{kept} fiches nommées\")\n return list(out.values())\n","structuredPatch":[{"oldStart":20,"oldLines":6,"newStart":20,"newLines":7,"lines":[" from __future__ import annotations"," "," import sys","+import time"," "," from ..hours import parse_opening_hours"," from ..normalize import classify_cuisines"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK61u4Piw59HhUKZNavB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012qqosRf4fSujaBjb1LvAKC","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/osm.py","old_string":"MIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]","new_string":"MIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://maps.mail.ru/osm/tools/overpass/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n]\n# NB : overpass.osm.jp RETIRÉ (2026-08-23) — certificat TLS invalide pour ce\n# nom d'hôte (hostname mismatch permanent). maps.mail.ru AJOUTÉ : instance\n# planète complète (vérifiée sur l'aire Québec), seul miroir à répondre le\n# 2026-08-22 quand kumi/de/coffee sont tombés ensemble et que le run OSM a\n# fini à 0 POI.\n\n# Réessais : les pannes Overpass (500/502, surcharge) sont le plus souvent\n# transitoires — on refait des passes complètes sur les miroirs avec une\n# attente croissante avant d'abandonner le type d'établissement.\nRETRY_ROUNDS = 3\nRETRY_BACKOFF_SECONDS = (0, 90, 300)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":753,"cache_read_input_tokens":115636,"cache_creation":{"ephemeral_5m_input_tokens":753,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"355ff3a2-e4db-4280-be86-ba62abfab5ad","request_id":"req_011CeK61s2cBLsgUMUxKgwpW"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012qqosRf4fSujaBjb1LvAKC","type":"tool_result","content":"The file /tmp/apika-fix/osm.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fa83770a-522c-476d-b0b1-1a109d6cbf59","timestamp":"2026-08-23T04:57:35.282Z","tool_use_result":{"filePath":"/tmp/apika-fix/osm.py","oldString":"MIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]","newString":"MIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://maps.mail.ru/osm/tools/overpass/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n]\n# NB : overpass.osm.jp RETIRÉ (2026-08-23) — certificat TLS invalide pour ce\n# nom d'hôte (hostname mismatch permanent). maps.mail.ru AJOUTÉ : instance\n# planète complète (vérifiée sur l'aire Québec), seul miroir à répondre le\n# 2026-08-22 quand kumi/de/coffee sont tombés ensemble et que le run OSM a\n# fini à 0 POI.\n\n# Réessais : les pannes Overpass (500/502, surcharge) sont le plus souvent\n# transitoires — on refait des passes complètes sur les miroirs avec une\n# attente croissante avant d'abandonner le type d'établissement.\nRETRY_ROUNDS = 3\nRETRY_BACKOFF_SECONDS = (0, 90, 300)","originalFile":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: restoka/connectors/osm.py\n# Desc: Connecteur de DÉCOUVERTE OpenStreetMap (Palier 4) — TOUS les\n# établissements où l'on mange au Québec : restaurants, fast-foods,\n# cafés, bars/pubs, crèmeries, foires alimentaires, boulangeries-\n# pâtisseries. C'est la couche « exhaustivité » de Resto·Ka : des\n# milliers de fiches (nom, adresse, GPS, cuisine, horaires, contact),\n# SANS menu — les connecteurs de menus (UEAT…) viennent s'y greffer\n# par déduplication.\n#\n# Mode d'extraction : API Overpass (miroirs publics, requêtes par type\n# d'établissement, aire administrative « Québec » 3600061549).\n# Base légale : données © contributeurs OpenStreetMap, licence ODbL —\n# attribution affichée sur le site (pages Sources et pied de page).\n# Politesse : 1 requête par type, timeout large, miroirs en rotation.\n#\n# Contexte de prix produit : AUCUN (pas de menu — fiche de découverte).\n# ==============================================================================\nfrom __future__ import annotations\n\nimport sys\nimport time\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n \"https://overpass.osm.jp/api/interpreter\",\n]\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)\nTARGETS = [\n (\"amenity\", \"restaurant\", \"restaurant\"),\n (\"amenity\", \"fast_food\", \"fast-food\"),\n (\"amenity\", \"cafe\", \"cafe\"),\n (\"amenity\", \"bar\", \"bar\"),\n (\"amenity\", \"pub\", \"bar\"),\n (\"amenity\", \"ice_cream\", \"cafe\"),\n (\"amenity\", \"food_court\", \"fast-food\"),\n (\"shop\", \"bakery\", \"boulangerie-patisserie\"),\n (\"shop\", \"pastry\", \"boulangerie-patisserie\"),\n]\n\n# cuisine=* OSM -> taxonomie Resto·Ka (§6.1) ; multi-valué « a;b;c »\n_CUISINE_MAP = {\n \"pizza\": \"pizza\", \"italian\": \"italien\", \"burger\": \"burgers\",\n \"chicken\": \"poulet\", \"sushi\": \"sushi-japonais\", \"japanese\": \"sushi-japonais\",\n \"chinese\": \"chinois\", \"thai\": \"thai\", \"vietnamese\": \"vietnamien\",\n \"korean\": \"coreen\", \"indian\": \"indien\", \"lebanese\": \"libanais-moyen-orient\",\n \"kebab\": \"libanais-moyen-orient\", \"mexican\": \"mexicain\", \"greek\": \"grec\",\n \"mediterranean\": \"mediterraneen\", \"seafood\": \"fruits-de-mer\",\n \"fish_and_chips\": \"fruits-de-mer\", \"french\": \"francais\",\n \"breakfast\": \"dejeuner-brunch\", \"brunch\": \"dejeuner-brunch\",\n \"crepe\": \"dejeuner-brunch\", \"coffee_shop\": \"cafe-dessert\",\n \"ice_cream\": \"cafe-dessert\", \"dessert\": \"cafe-dessert\",\n \"donut\": \"cafe-dessert\", \"bubble_tea\": \"cafe-dessert\",\n \"vegan\": \"vegetarien-vegan\", \"vegetarian\": \"vegetarien-vegan\",\n \"barbecue\": \"bbq-grillades\", \"steak_house\": \"bbq-grillades\",\n \"grill\": \"bbq-grillades\", \"poutine\": \"quebecois\", \"regional\": \"quebecois\",\n \"canadian\": \"quebecois\", \"sandwich\": \"fast-food\", \"friture\": \"quebecois\",\n \"asian\": \"chinois\", \"ramen\": \"sushi-japonais\", \"poke\": \"sushi-japonais\",\n \"shawarma\": \"libanais-moyen-orient\", \"falafel\": \"libanais-moyen-orient\",\n \"tapas\": \"mediterraneen\", \"portuguese\": \"mediterraneen\",\n \"spanish\": \"mediterraneen\", \"american\": \"burgers\", \"diner\": \"dejeuner-brunch\",\n # valeurs OSM courantes au QC, non couvertes par la v1\n \"belgian\": \"francais\", \"bistro\": \"francais\", \"brasserie\": \"francais\",\n \"turkish\": \"libanais-moyen-orient\", \"persian\": \"libanais-moyen-orient\",\n \"iranian\": \"libanais-moyen-orient\", \"syrian\": \"libanais-moyen-orient\",\n \"afghan\": \"libanais-moyen-orient\", \"pita\": \"libanais-moyen-orient\",\n \"moroccan\": \"mediterraneen\", \"tunisian\": \"mediterraneen\",\n \"gyro\": \"grec\", \"pakistani\": \"indien\", \"bangladeshi\": \"indien\",\n \"sri_lankan\": \"indien\", \"nepalese\": \"indien\",\n \"cantonese\": \"chinois\", \"szechuan\": \"chinois\", \"sichuan\": \"chinois\",\n \"hong_kong\": \"chinois\", \"taiwanese\": \"chinois\", \"dim_sum\": \"chinois\",\n \"dumpling\": \"chinois\", \"noodle\": \"chinois\", \"noodles\": \"chinois\",\n \"malaysian\": \"thai\", \"indonesian\": \"thai\", \"filipino\": \"thai\",\n \"teriyaki\": \"sushi-japonais\", \"izakaya\": \"sushi-japonais\",\n \"peruvian\": \"mexicain\", \"brazilian\": \"mexicain\", \"colombian\": \"mexicain\",\n \"salvadoran\": \"mexicain\", \"latin_american\": \"mexicain\",\n \"argentinian\": \"bbq-grillades\", \"steak\": \"bbq-grillades\",\n \"wings\": \"poulet\", \"fried_chicken\": \"poulet\",\n \"hotdog\": \"fast-food\", \"hot_dog\": \"fast-food\", \"deli\": \"fast-food\",\n \"bagel\": \"dejeuner-brunch\", \"pancake\": \"dejeuner-brunch\",\n \"waffle\": \"cafe-dessert\", \"cake\": \"cafe-dessert\",\n \"chocolate\": \"cafe-dessert\", \"tea\": \"cafe-dessert\",\n \"juice\": \"cafe-dessert\", \"coffee\": \"cafe-dessert\",\n \"pasta\": \"italien\", \"oysters\": \"fruits-de-mer\", \"fish\": \"fruits-de-mer\",\n \"smoked_meat\": \"quebecois\", \"sugar_shack\": \"quebecois\",\n}\n\n# diet:*=yes|only|limited -> options alimentaires (§6) ; « limited » = offre\n# partielle, on l'affiche quand même (mieux vaut signaler l'option qui existe)\n_DIET_TAGS = {\n \"diet:vegan\": \"vegan\", \"diet:vegetarian\": \"vegetarien\",\n \"diet:gluten_free\": \"sans-gluten\", \"diet:halal\": \"halal\",\n \"diet:kosher\": \"casher\",\n}\n\n# payment:* -> étiquettes de service (modes de paiement acceptés)\n_PAYMENT_TAGS = {\n \"payment:cash\": \"paiement-comptant\",\n \"payment:credit_cards\": \"paiement-credit\",\n \"payment:visa\": \"paiement-credit\",\n \"payment:mastercard\": \"paiement-credit\",\n \"payment:american_express\": \"paiement-credit\",\n \"payment:debit_cards\": \"paiement-debit\",\n \"payment:interac\": \"paiement-debit\",\n}\n\n\nclass OsmConnector(BaseConnector):\n source_id = \"osm\"\n request_delay = 3.0 # politesse Overpass : requêtes lourdes\n timeout = 240\n use_detail_cache = False # une seule passe, pas de pages détail\n\n def _overpass(self, key: str, value: str) -> list[dict]:\n \"\"\"Une requête Overpass (nœuds + centres de chemins), miroirs en rotation.\"\"\"\n query = (\n f'[out:json][timeout:180];'\n f'(node[\"{key}\"=\"{value}\"](area:{QC_AREA});'\n f'way[\"{key}\"=\"{value}\"](area:{QC_AREA}););'\n f'out tags center;'\n )\n last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")\n\n # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI\n _DEFAULT_CUISINE = {\n \"ice_cream\": \"cafe-dessert\", \"cafe\": \"cafe-dessert\",\n \"bakery\": \"cafe-dessert\", \"pastry\": \"cafe-dessert\",\n \"fast_food\": \"fast-food\", \"food_court\": \"fast-food\",\n }\n\n @classmethod\n def _cuisines(cls, tags: dict, name: str, value: str) -> list[str]:\n vals = [v.strip().lower() for v in (tags.get(\"cuisine\") or \"\").split(\";\") if v.strip()]\n out: list[str] = []\n for v in vals:\n mapped = _CUISINE_MAP.get(v)\n if mapped and mapped not in out:\n out.append(mapped)\n if not out:\n out = classify_cuisines(name)\n if out == [\"autre\"] and value in cls._DEFAULT_CUISINE:\n out = [cls._DEFAULT_CUISINE[value]]\n return out[:4]\n\n def _to_restaurant(self, el: dict, etype: str,\n value: str = \"\") -> Restaurant | None:\n tags = el.get(\"tags\") or {}\n name = (tags.get(\"name\") or \"\").strip()\n if not name:\n return None # un POI sans nom est inutilisable\n # marque/chaîne (brand=*) -> colonne chain ; branch=* = nom de la\n # succursale, suffixé au nom (même convention que UEAT « Marque — Succ. »)\n chain = (tags.get(\"brand\") or \"\").strip() or None\n branch = (tags.get(\"branch\") or \"\").strip()\n if branch and branch.lower() not in name.lower():\n name = f\"{name} — {branch}\"\n lat = el.get(\"lat\") or (el.get(\"center\") or {}).get(\"lat\")\n lng = el.get(\"lon\") or (el.get(\"center\") or {}).get(\"lon\")\n civic = (tags.get(\"addr:housenumber\") or \"\").strip()\n street = (tags.get(\"addr:street\") or \"\").strip()\n services = []\n if tags.get(\"takeaway\") in (\"yes\", \"only\"):\n services.append(\"takeout\")\n if tags.get(\"delivery\") == \"yes\":\n services.append(\"delivery\")\n if tags.get(\"takeaway\") != \"only\":\n services.append(\"salle\")\n if tags.get(\"wheelchair\") in (\"yes\", \"designated\", \"limited\"):\n services.append(\"accessible\")\n for t, svc in _PAYMENT_TAGS.items():\n if tags.get(t) == \"yes\" and svc not in services:\n services.append(svc)\n capacity = (tags.get(\"capacity\") or \"\").strip()\n if capacity.isdigit():\n services.append(f\"capacite-{capacity}\")\n hours = {}\n if tags.get(\"opening_hours\"):\n hours[\"osm\"] = tags[\"opening_hours\"]\n # horaires STRUCTURÉS par jour quand la syntaxe est courante\n # (Mo-Fr 11:00-22:00…) ; les cas exotiques restent en brut\n parsed = parse_opening_hours(tags[\"opening_hours\"])\n if parsed:\n hours.update(parsed)\n osm_id = f\"{el.get('type')}/{el.get('id')}\"\n return Restaurant(\n source=self.source_id,\n external_id=osm_id,\n name=name,\n url=f\"https://www.openstreetmap.org/{osm_id}\",\n chain=chain,\n cuisines=self._cuisines(tags, name, value),\n establishment_type=etype,\n address=f\"{civic} {street}\".strip(),\n city=(tags.get(\"addr:city\") or \"\").strip(),\n postal_code=(tags.get(\"addr:postcode\") or \"\").strip(),\n lat=lat, lng=lng,\n phone=(tags.get(\"phone\") or tags.get(\"contact:phone\") or \"\").strip(),\n website=(tags.get(\"website\") or tags.get(\"contact:website\") or \"\").strip(),\n hours=hours,\n services=services,\n dietary_options=[d for t, d in _DIET_TAGS.items()\n if tags.get(t) in (\"yes\", \"only\", \"limited\")],\n languages=[\"fr\"],\n menu=None, # découverte : pas de menu ici\n )\n\n def fetch(self) -> list[Restaurant]:\n out: dict[str, Restaurant] = {}\n # run partiel : si UN type d'établissement échoue sur tous les miroirs,\n # on continue avec les autres mais on signale le run comme incomplet —\n # le pipeline suspendra alors les retraits (pas de fausses fermetures).\n self.partial_run = False\n for key, value, etype in TARGETS:\n try:\n elements = self._overpass(key, value)\n except Exception as exc:\n self.partial_run = True\n print(f\"[resto-ka] osm: {key}={value} ÉCHEC sur tous les \"\n f\"miroirs ({exc}) — run marqué partiel, retraits \"\n \"suspendus\", file=sys.stderr)\n continue\n kept = 0\n for el in elements:\n resto = self._to_restaurant(el, etype, value)\n if resto is not None and resto.uid not in out:\n out[resto.uid] = resto\n kept += 1\n print(f\"[resto-ka] osm: {key}={value} -> {len(elements)} POI, \"\n f\"{kept} fiches nommées\")\n return list(out.values())\n","structuredPatch":[{"oldStart":33,"oldLines":10,"newStart":33,"newLines":21,"lines":[" MIRRORS = ["," \"https://overpass.kumi.systems/api/interpreter\","," \"https://overpass-api.de/api/interpreter\",","+ \"https://maps.mail.ru/osm/tools/overpass/api/interpreter\","," \"https://overpass.private.coffee/api/interpreter\",","- \"https://overpass.osm.jp/api/interpreter\","," ]","+# NB : overpass.osm.jp RETIRÉ (2026-08-23) — certificat TLS invalide pour ce","+# nom d'hôte (hostname mismatch permanent). maps.mail.ru AJOUTÉ : instance","+# planète complète (vérifiée sur l'aire Québec), seul miroir à répondre le","+# 2026-08-22 quand kumi/de/coffee sont tombés ensemble et que le run OSM a","+# fini à 0 POI."," ","+# Réessais : les pannes Overpass (500/502, surcharge) sont le plus souvent","+# transitoires — on refait des passes complètes sur les miroirs avec une","+# attente croissante avant d'abandonner le type d'établissement.","+RETRY_ROUNDS = 3","+RETRY_BACKOFF_SECONDS = (0, 90, 300)","+"," # User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :"," # overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en"," # navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"f20b0a6b-dd1a-42f6-b876-2986af22b27f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK62ehiyXmuay7jUC3aC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Lts2VUiWt2oaARQjy7wsVR","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/osm.py","old_string":" last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")","new_string":" last_exc: Exception | None = None\n for round_no in range(RETRY_ROUNDS):\n wait = RETRY_BACKOFF_SECONDS[min(round_no, len(RETRY_BACKOFF_SECONDS) - 1)]\n if wait:\n print(f\"[resto-ka] osm: nouvelle passe sur les miroirs dans {wait}s \"\n f\"(ronde {round_no + 1}/{RETRY_ROUNDS})\", file=sys.stderr)\n time.sleep(wait)\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":950,"cache_read_input_tokens":116389,"cache_creation":{"ephemeral_5m_input_tokens":950,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4f271484-2f4c-4420-a77c-ff21ed24f3ce","request_id":"req_011CeK62ciusQ5Ffhy8WjnQi"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Lts2VUiWt2oaARQjy7wsVR","type":"tool_result","content":"The file /tmp/apika-fix/osm.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"43c4cda8-471c-4b6a-97c0-ba9f41ba48ed","timestamp":"2026-08-23T04:57:48.196Z","tool_use_result":{"filePath":"/tmp/apika-fix/osm.py","oldString":" last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")","newString":" last_exc: Exception | None = None\n for round_no in range(RETRY_ROUNDS):\n wait = RETRY_BACKOFF_SECONDS[min(round_no, len(RETRY_BACKOFF_SECONDS) - 1)]\n if wait:\n print(f\"[resto-ka] osm: nouvelle passe sur les miroirs dans {wait}s \"\n f\"(ronde {round_no + 1}/{RETRY_ROUNDS})\", file=sys.stderr)\n time.sleep(wait)\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")","originalFile":"# ==============================================================================\n# Author: Simon-Pierre Boucher \n# File: restoka/connectors/osm.py\n# Desc: Connecteur de DÉCOUVERTE OpenStreetMap (Palier 4) — TOUS les\n# établissements où l'on mange au Québec : restaurants, fast-foods,\n# cafés, bars/pubs, crèmeries, foires alimentaires, boulangeries-\n# pâtisseries. C'est la couche « exhaustivité » de Resto·Ka : des\n# milliers de fiches (nom, adresse, GPS, cuisine, horaires, contact),\n# SANS menu — les connecteurs de menus (UEAT…) viennent s'y greffer\n# par déduplication.\n#\n# Mode d'extraction : API Overpass (miroirs publics, requêtes par type\n# d'établissement, aire administrative « Québec » 3600061549).\n# Base légale : données © contributeurs OpenStreetMap, licence ODbL —\n# attribution affichée sur le site (pages Sources et pied de page).\n# Politesse : 1 requête par type, timeout large, miroirs en rotation.\n#\n# Contexte de prix produit : AUCUN (pas de menu — fiche de découverte).\n# ==============================================================================\nfrom __future__ import annotations\n\nimport sys\nimport time\n\nfrom ..hours import parse_opening_hours\nfrom ..normalize import classify_cuisines\nfrom ..schema import Restaurant\nfrom .base import BaseConnector\n\n# Aire Overpass de la province de Québec (relation OSM 61549 + 3600000000)\nQC_AREA = 3600061549\n\nMIRRORS = [\n \"https://overpass.kumi.systems/api/interpreter\",\n \"https://overpass-api.de/api/interpreter\",\n \"https://maps.mail.ru/osm/tools/overpass/api/interpreter\",\n \"https://overpass.private.coffee/api/interpreter\",\n]\n# NB : overpass.osm.jp RETIRÉ (2026-08-23) — certificat TLS invalide pour ce\n# nom d'hôte (hostname mismatch permanent). maps.mail.ru AJOUTÉ : instance\n# planète complète (vérifiée sur l'aire Québec), seul miroir à répondre le\n# 2026-08-22 quand kumi/de/coffee sont tombés ensemble et que le run OSM a\n# fini à 0 POI.\n\n# Réessais : les pannes Overpass (500/502, surcharge) sont le plus souvent\n# transitoires — on refait des passes complètes sur les miroirs avec une\n# attente croissante avant d'abandonner le type d'établissement.\nRETRY_ROUNDS = 3\nRETRY_BACKOFF_SECONDS = (0, 90, 300)\n\n# User-Agent DÉDIÉ aux miroirs Overpass. Vérifié le 2026-08-18 :\n# overpass-api.de répond 406 Not Acceptable à tout UA « déguisé en\n# navigateur » (Mozilla/… Chrome/… — y compris notre UA global qui préfixe\n# RestoKaBot d'une chaîne Chrome) et à python-requests, mais accepte un UA\n# de bot honnête et identifiable. On envoie donc le nom nu du bot ici.\nOVERPASS_UA = \"RestoKaBot/1.0 (+https://www.resto-ka.com/bot; contact@spboucher.ai)\"\n# NB : overpass.osm.ch RETIRÉ des miroirs — c'est un extrait SUISSE seulement :\n# il répond 200 avec 0 élément pour l'aire Québec, ce qui empoisonnait les\n# runs (incident des runs #2/#3 : des types entiers « réussis » à 0 POI).\n\n# (clé, valeur, type d'établissement Resto·Ka)\nTARGETS = [\n (\"amenity\", \"restaurant\", \"restaurant\"),\n (\"amenity\", \"fast_food\", \"fast-food\"),\n (\"amenity\", \"cafe\", \"cafe\"),\n (\"amenity\", \"bar\", \"bar\"),\n (\"amenity\", \"pub\", \"bar\"),\n (\"amenity\", \"ice_cream\", \"cafe\"),\n (\"amenity\", \"food_court\", \"fast-food\"),\n (\"shop\", \"bakery\", \"boulangerie-patisserie\"),\n (\"shop\", \"pastry\", \"boulangerie-patisserie\"),\n]\n\n# cuisine=* OSM -> taxonomie Resto·Ka (§6.1) ; multi-valué « a;b;c »\n_CUISINE_MAP = {\n \"pizza\": \"pizza\", \"italian\": \"italien\", \"burger\": \"burgers\",\n \"chicken\": \"poulet\", \"sushi\": \"sushi-japonais\", \"japanese\": \"sushi-japonais\",\n \"chinese\": \"chinois\", \"thai\": \"thai\", \"vietnamese\": \"vietnamien\",\n \"korean\": \"coreen\", \"indian\": \"indien\", \"lebanese\": \"libanais-moyen-orient\",\n \"kebab\": \"libanais-moyen-orient\", \"mexican\": \"mexicain\", \"greek\": \"grec\",\n \"mediterranean\": \"mediterraneen\", \"seafood\": \"fruits-de-mer\",\n \"fish_and_chips\": \"fruits-de-mer\", \"french\": \"francais\",\n \"breakfast\": \"dejeuner-brunch\", \"brunch\": \"dejeuner-brunch\",\n \"crepe\": \"dejeuner-brunch\", \"coffee_shop\": \"cafe-dessert\",\n \"ice_cream\": \"cafe-dessert\", \"dessert\": \"cafe-dessert\",\n \"donut\": \"cafe-dessert\", \"bubble_tea\": \"cafe-dessert\",\n \"vegan\": \"vegetarien-vegan\", \"vegetarian\": \"vegetarien-vegan\",\n \"barbecue\": \"bbq-grillades\", \"steak_house\": \"bbq-grillades\",\n \"grill\": \"bbq-grillades\", \"poutine\": \"quebecois\", \"regional\": \"quebecois\",\n \"canadian\": \"quebecois\", \"sandwich\": \"fast-food\", \"friture\": \"quebecois\",\n \"asian\": \"chinois\", \"ramen\": \"sushi-japonais\", \"poke\": \"sushi-japonais\",\n \"shawarma\": \"libanais-moyen-orient\", \"falafel\": \"libanais-moyen-orient\",\n \"tapas\": \"mediterraneen\", \"portuguese\": \"mediterraneen\",\n \"spanish\": \"mediterraneen\", \"american\": \"burgers\", \"diner\": \"dejeuner-brunch\",\n # valeurs OSM courantes au QC, non couvertes par la v1\n \"belgian\": \"francais\", \"bistro\": \"francais\", \"brasserie\": \"francais\",\n \"turkish\": \"libanais-moyen-orient\", \"persian\": \"libanais-moyen-orient\",\n \"iranian\": \"libanais-moyen-orient\", \"syrian\": \"libanais-moyen-orient\",\n \"afghan\": \"libanais-moyen-orient\", \"pita\": \"libanais-moyen-orient\",\n \"moroccan\": \"mediterraneen\", \"tunisian\": \"mediterraneen\",\n \"gyro\": \"grec\", \"pakistani\": \"indien\", \"bangladeshi\": \"indien\",\n \"sri_lankan\": \"indien\", \"nepalese\": \"indien\",\n \"cantonese\": \"chinois\", \"szechuan\": \"chinois\", \"sichuan\": \"chinois\",\n \"hong_kong\": \"chinois\", \"taiwanese\": \"chinois\", \"dim_sum\": \"chinois\",\n \"dumpling\": \"chinois\", \"noodle\": \"chinois\", \"noodles\": \"chinois\",\n \"malaysian\": \"thai\", \"indonesian\": \"thai\", \"filipino\": \"thai\",\n \"teriyaki\": \"sushi-japonais\", \"izakaya\": \"sushi-japonais\",\n \"peruvian\": \"mexicain\", \"brazilian\": \"mexicain\", \"colombian\": \"mexicain\",\n \"salvadoran\": \"mexicain\", \"latin_american\": \"mexicain\",\n \"argentinian\": \"bbq-grillades\", \"steak\": \"bbq-grillades\",\n \"wings\": \"poulet\", \"fried_chicken\": \"poulet\",\n \"hotdog\": \"fast-food\", \"hot_dog\": \"fast-food\", \"deli\": \"fast-food\",\n \"bagel\": \"dejeuner-brunch\", \"pancake\": \"dejeuner-brunch\",\n \"waffle\": \"cafe-dessert\", \"cake\": \"cafe-dessert\",\n \"chocolate\": \"cafe-dessert\", \"tea\": \"cafe-dessert\",\n \"juice\": \"cafe-dessert\", \"coffee\": \"cafe-dessert\",\n \"pasta\": \"italien\", \"oysters\": \"fruits-de-mer\", \"fish\": \"fruits-de-mer\",\n \"smoked_meat\": \"quebecois\", \"sugar_shack\": \"quebecois\",\n}\n\n# diet:*=yes|only|limited -> options alimentaires (§6) ; « limited » = offre\n# partielle, on l'affiche quand même (mieux vaut signaler l'option qui existe)\n_DIET_TAGS = {\n \"diet:vegan\": \"vegan\", \"diet:vegetarian\": \"vegetarien\",\n \"diet:gluten_free\": \"sans-gluten\", \"diet:halal\": \"halal\",\n \"diet:kosher\": \"casher\",\n}\n\n# payment:* -> étiquettes de service (modes de paiement acceptés)\n_PAYMENT_TAGS = {\n \"payment:cash\": \"paiement-comptant\",\n \"payment:credit_cards\": \"paiement-credit\",\n \"payment:visa\": \"paiement-credit\",\n \"payment:mastercard\": \"paiement-credit\",\n \"payment:american_express\": \"paiement-credit\",\n \"payment:debit_cards\": \"paiement-debit\",\n \"payment:interac\": \"paiement-debit\",\n}\n\n\nclass OsmConnector(BaseConnector):\n source_id = \"osm\"\n request_delay = 3.0 # politesse Overpass : requêtes lourdes\n timeout = 240\n use_detail_cache = False # une seule passe, pas de pages détail\n\n def _overpass(self, key: str, value: str) -> list[dict]:\n \"\"\"Une requête Overpass (nœuds + centres de chemins), miroirs en rotation.\"\"\"\n query = (\n f'[out:json][timeout:180];'\n f'(node[\"{key}\"=\"{value}\"](area:{QC_AREA});'\n f'way[\"{key}\"=\"{value}\"](area:{QC_AREA}););'\n f'out tags center;'\n )\n last_exc: Exception | None = None\n for mirror in MIRRORS:\n try:\n resp = self.post(mirror, data={\"data\": query},\n headers={\"User-Agent\": OVERPASS_UA})\n data = resp.json()\n # Overpass peut répondre 200 avec des résultats TRONQUÉS et un\n # « remark » (timeout/mémoire) — traiter comme un échec de\n # miroir plutôt que d'avaler une liste partielle (incident du\n # run #2 : 6 213 POI au lieu de 13 531).\n remark = (data.get(\"remark\") or \"\").lower()\n if \"timed out\" in remark or \"error\" in remark:\n raise RuntimeError(f\"réponse partielle : {remark[:200]}\")\n elements = data.get(\"elements\") or []\n # 0 élément pour une requête à l'échelle de la PROVINCE est\n # toujours implausible (chaque type compte des centaines de\n # POI au QC) : miroir sans les données (extrait régional…)\n if not elements:\n raise RuntimeError(\"0 élément — miroir sans données \"\n \"pour l'aire Québec\")\n return elements\n except Exception as exc: # miroir surchargé -> suivant\n last_exc = exc\n print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",\n file=sys.stderr)\n raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")\n\n # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI\n _DEFAULT_CUISINE = {\n \"ice_cream\": \"cafe-dessert\", \"cafe\": \"cafe-dessert\",\n \"bakery\": \"cafe-dessert\", \"pastry\": \"cafe-dessert\",\n \"fast_food\": \"fast-food\", \"food_court\": \"fast-food\",\n }\n\n @classmethod\n def _cuisines(cls, tags: dict, name: str, value: str) -> list[str]:\n vals = [v.strip().lower() for v in (tags.get(\"cuisine\") or \"\").split(\";\") if v.strip()]\n out: list[str] = []\n for v in vals:\n mapped = _CUISINE_MAP.get(v)\n if mapped and mapped not in out:\n out.append(mapped)\n if not out:\n out = classify_cuisines(name)\n if out == [\"autre\"] and value in cls._DEFAULT_CUISINE:\n out = [cls._DEFAULT_CUISINE[value]]\n return out[:4]\n\n def _to_restaurant(self, el: dict, etype: str,\n value: str = \"\") -> Restaurant | None:\n tags = el.get(\"tags\") or {}\n name = (tags.get(\"name\") or \"\").strip()\n if not name:\n return None # un POI sans nom est inutilisable\n # marque/chaîne (brand=*) -> colonne chain ; branch=* = nom de la\n # succursale, suffixé au nom (même convention que UEAT « Marque — Succ. »)\n chain = (tags.get(\"brand\") or \"\").strip() or None\n branch = (tags.get(\"branch\") or \"\").strip()\n if branch and branch.lower() not in name.lower():\n name = f\"{name} — {branch}\"\n lat = el.get(\"lat\") or (el.get(\"center\") or {}).get(\"lat\")\n lng = el.get(\"lon\") or (el.get(\"center\") or {}).get(\"lon\")\n civic = (tags.get(\"addr:housenumber\") or \"\").strip()\n street = (tags.get(\"addr:street\") or \"\").strip()\n services = []\n if tags.get(\"takeaway\") in (\"yes\", \"only\"):\n services.append(\"takeout\")\n if tags.get(\"delivery\") == \"yes\":\n services.append(\"delivery\")\n if tags.get(\"takeaway\") != \"only\":\n services.append(\"salle\")\n if tags.get(\"wheelchair\") in (\"yes\", \"designated\", \"limited\"):\n services.append(\"accessible\")\n for t, svc in _PAYMENT_TAGS.items():\n if tags.get(t) == \"yes\" and svc not in services:\n services.append(svc)\n capacity = (tags.get(\"capacity\") or \"\").strip()\n if capacity.isdigit():\n services.append(f\"capacite-{capacity}\")\n hours = {}\n if tags.get(\"opening_hours\"):\n hours[\"osm\"] = tags[\"opening_hours\"]\n # horaires STRUCTURÉS par jour quand la syntaxe est courante\n # (Mo-Fr 11:00-22:00…) ; les cas exotiques restent en brut\n parsed = parse_opening_hours(tags[\"opening_hours\"])\n if parsed:\n hours.update(parsed)\n osm_id = f\"{el.get('type')}/{el.get('id')}\"\n return Restaurant(\n source=self.source_id,\n external_id=osm_id,\n name=name,\n url=f\"https://www.openstreetmap.org/{osm_id}\",\n chain=chain,\n cuisines=self._cuisines(tags, name, value),\n establishment_type=etype,\n address=f\"{civic} {street}\".strip(),\n city=(tags.get(\"addr:city\") or \"\").strip(),\n postal_code=(tags.get(\"addr:postcode\") or \"\").strip(),\n lat=lat, lng=lng,\n phone=(tags.get(\"phone\") or tags.get(\"contact:phone\") or \"\").strip(),\n website=(tags.get(\"website\") or tags.get(\"contact:website\") or \"\").strip(),\n hours=hours,\n services=services,\n dietary_options=[d for t, d in _DIET_TAGS.items()\n if tags.get(t) in (\"yes\", \"only\", \"limited\")],\n languages=[\"fr\"],\n menu=None, # découverte : pas de menu ici\n )\n\n def fetch(self) -> list[Restaurant]:\n out: dict[str, Restaurant] = {}\n # run partiel : si UN type d'établissement échoue sur tous les miroirs,\n # on continue avec les autres mais on signale le run comme incomplet —\n # le pipeline suspendra alors les retraits (pas de fausses fermetures).\n self.partial_run = False\n for key, value, etype in TARGETS:\n try:\n elements = self._overpass(key, value)\n except Exception as exc:\n self.partial_run = True\n print(f\"[resto-ka] osm: {key}={value} ÉCHEC sur tous les \"\n f\"miroirs ({exc}) — run marqué partiel, retraits \"\n \"suspendus\", file=sys.stderr)\n continue\n kept = 0\n for el in elements:\n resto = self._to_restaurant(el, etype, value)\n if resto is not None and resto.uid not in out:\n out[resto.uid] = resto\n kept += 1\n print(f\"[resto-ka] osm: {key}={value} -> {len(elements)} POI, \"\n f\"{kept} fiches nommées\")\n return list(out.values())\n","structuredPatch":[{"oldStart":153,"oldLines":30,"newStart":153,"newLines":36,"lines":[" f'out tags center;'"," )"," last_exc: Exception | None = None","- for mirror in MIRRORS:","- try:","- resp = self.post(mirror, data={\"data\": query},","- headers={\"User-Agent\": OVERPASS_UA})","- data = resp.json()","- # Overpass peut répondre 200 avec des résultats TRONQUÉS et un","- # « remark » (timeout/mémoire) — traiter comme un échec de","- # miroir plutôt que d'avaler une liste partielle (incident du","- # run #2 : 6 213 POI au lieu de 13 531).","- remark = (data.get(\"remark\") or \"\").lower()","- if \"timed out\" in remark or \"error\" in remark:","- raise RuntimeError(f\"réponse partielle : {remark[:200]}\")","- elements = data.get(\"elements\") or []","- # 0 élément pour une requête à l'échelle de la PROVINCE est","- # toujours implausible (chaque type compte des centaines de","- # POI au QC) : miroir sans les données (extrait régional…)","- if not elements:","- raise RuntimeError(\"0 élément — miroir sans données \"","- \"pour l'aire Québec\")","- return elements","- except Exception as exc: # miroir surchargé -> suivant","- last_exc = exc","- print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",","- file=sys.stderr)","+ for round_no in range(RETRY_ROUNDS):","+ wait = RETRY_BACKOFF_SECONDS[min(round_no, len(RETRY_BACKOFF_SECONDS) - 1)]","+ if wait:","+ print(f\"[resto-ka] osm: nouvelle passe sur les miroirs dans {wait}s \"","+ f\"(ronde {round_no + 1}/{RETRY_ROUNDS})\", file=sys.stderr)","+ time.sleep(wait)","+ for mirror in MIRRORS:","+ try:","+ resp = self.post(mirror, data={\"data\": query},","+ headers={\"User-Agent\": OVERPASS_UA})","+ data = resp.json()","+ # Overpass peut répondre 200 avec des résultats TRONQUÉS et un","+ # « remark » (timeout/mémoire) — traiter comme un échec de","+ # miroir plutôt que d'avaler une liste partielle (incident du","+ # run #2 : 6 213 POI au lieu de 13 531).","+ remark = (data.get(\"remark\") or \"\").lower()","+ if \"timed out\" in remark or \"error\" in remark:","+ raise RuntimeError(f\"réponse partielle : {remark[:200]}\")","+ elements = data.get(\"elements\") or []","+ # 0 élément pour une requête à l'échelle de la PROVINCE est","+ # toujours implausible (chaque type compte des centaines de","+ # POI au QC) : miroir sans les données (extrait régional…)","+ if not elements:","+ raise RuntimeError(\"0 élément — miroir sans données \"","+ \"pour l'aire Québec\")","+ return elements","+ except Exception as exc: # miroir surchargé -> suivant","+ last_exc = exc","+ print(f\"[resto-ka] osm: {mirror} a échoué ({exc}), miroir suivant\",","+ file=sys.stderr)"," raise RuntimeError(f\"tous les miroirs Overpass ont échoué : {last_exc}\")"," "," # cuisine par défaut quand ni le tag cuisine ni le nom ne classent le POI"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"35052b02-f37f-4500-acbb-c862039b883f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK63ceyNM34ez38bHFsS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019t1E1GMrdSwjcS47h2y4cZ","name":"Bash","input":{"command":"scp /tmp/apika-fix/osm.py M3U96b:'~/apps/resto-ka/restoka/connectors/osm.py' && ssh M3U96b 'cd ~/apps/resto-ka && .venv/bin/python -m py_compile restoka/connectors/osm.py && echo SYNTAX-OK && grep -n \"sync\\|watch\\|serve\\|elif\\|argv\" run.py | head -15'","description":"Deploy osm.py fix and check run.py commands"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1405,"cache_read_input_tokens":117339,"cache_creation":{"ephemeral_5m_input_tokens":1405,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3f406788-970e-4b7a-9601-9cc60996de5e","request_id":"req_011CeK63ZdeXvGZUrcx4hPP1"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019t1E1GMrdSwjcS47h2y4cZ","type":"tool_result","content":"SYNTAX-OK\n5:# Desc: Resto·Ka — point d'entrée : `sync`, `watch`, `serve`, `geocode`,\n9: python run.py sync [source ...] # synchronise les restos + menus\n10: python run.py watch [heures] # synchronise en boucle (défaut 24 h)\n11: python run.py serve [port] # démarre l'API + le frontend (défaut 8115)\n32: cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n33: args = sys.argv[2:]\n35: if cmd == \"sync\":\n39: elif cmd == \"watch\":\n42: ingest.watch(int(hours * 3600))\n43: elif cmd == \"serve\":\n47: elif cmd == \"geocode\":\n50: elif cmd == \"dedup\":","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ca9d0d2b-537a-48b0-a8bd-3aae4ad59850","timestamp":"2026-08-23T04:57:59.608Z","tool_use_result":{"stdout":"SYNTAX-OK\n5:# Desc: Resto·Ka — point d'entrée : `sync`, `watch`, `serve`, `geocode`,\n9: python run.py sync [source ...] # synchronise les restos + menus\n10: python run.py watch [heures] # synchronise en boucle (défaut 24 h)\n11: python run.py serve [port] # démarre l'API + le frontend (défaut 8115)\n32: cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n33: args = sys.argv[2:]\n35: if cmd == \"sync\":\n39: elif cmd == \"watch\":\n42: ingest.watch(int(hours * 3600))\n43: elif cmd == \"serve\":\n47: elif cmd == \"geocode\":\n50: elif cmd == \"dedup\":","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d66065b9-113a-414b-ad92-babb00ed5f7d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"69e6f89a-bfc0-456d-8f4c-3a7820adeacb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"8f79a750-2384-4dad-a174-a18fa9544e10","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":188,"estimated_tokens_delta":38,"uuid":"0d0ebc91-3664-4d52-b1d7-831243355c95","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK64TAVdfsnDCwzZ1U3r","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":307,"cache_creation_input_tokens":776,"cache_read_input_tokens":118744,"cache_creation":{"ephemeral_5m_input_tokens":776,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7709e915-ceb3-4059-8873-ee9c81a3d7fd","request_id":"req_011CeK64QUGh1ZXU8C8c6Tfe"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK64TAVdfsnDCwzZ1U3r","type":"message","role":"assistant","content":[{"type":"text","text":"Je relance une synchro OSM ciblée en arrière-plan avec les nouveaux miroirs, et je commite resto-ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":776,"cache_read_input_tokens":118744,"cache_creation":{"ephemeral_5m_input_tokens":776,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9df0d877-f124-465e-950e-1463626ce447","request_id":"req_011CeK64QUGh1ZXU8C8c6Tfe"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK64TAVdfsnDCwzZ1U3r","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Bfupnc1Qkmv1Ymv29NQJKS","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/resto-ka && nohup .venv/bin/python run.py sync osm > /tmp/restoka-osm-resync.log 2>&1 & echo \"lancé pid $!\"'","description":"Launch targeted OSM resync in background on 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RaewuKMSQbNrMFTJoQPymS","type":"tool_result","content":" os.homedir(),\n \"Library/Caches/ms-playwright/chromium_headless_shell-1234/chrome-headless-shell-mac-arm64/chrome-headless-shell\",\n);\n\nconst SERVICES = [\n [\"louka\", \"Lou·Ka\", \"logements à louer\"],\n [\"immoka\", \"Immo·Ka\", \"propriétés à vendre\"],\n [\"autoka\", \"Auto·Ka\", \"voitures usagées\"],\n [\"fabrika\", \"Fabri·Ka\", \"produits québécois\"],\n [\"foodka\", \"Food·Ka\", \"prix d'épicerie\"],\n [\"restoka\", \"Resto·Ka\", \"restos, menus et prix\"],\n [\"sortika\", \"Sorti·Ka\", \"sorties et événements\"],\n [\"creaka\", \"Créa·Ka\", \"créateurs d'ici\"],\n [\"jobka\", \"Job·Ka\", \"offres d'emploi\"],\n];\n\n// ---------- utilitaires ----------\n\nfunction loadEnv() {\n const file = path.join(ROOT, \".env.local\");\n if (!existsSync(file)) return;\n for (const line of readFileSync(file, \"utf8\").split(\"\\n\")) {\n const m = line.match(/^([A-Z0-9_]+)=(.*)$/);\n if (m && !process.env[m[1]]) process.env[m[1]] = m[2];\n }\n}\n\nfunction todayLocal() {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: \"America/Toronto\",\n }).format(new Date());\n}\n\nasync function getJson(url, timeoutMs = 20000) {\n const res = await fetch(url, { signal: AbortSignal.timeout(timeoutMs) });\n if (!res.ok) throw new Error(`${url} → HTTP ${res.status}`);\n return res.json();\n}\n\nasync function tryJson(url, timeoutMs) {\n try {\n return await getJson(url, timeoutMs);\n } catch (e) {\n console.warn(`⚠️ ${url} : ${e.message}`);\n return null;\n }\n}\n\n// ---------- 1. collecte des données API·Ka ----------\n\nasync function collecter(dateRapport) {\n const [health, dash7j, runsRes, ...statsParService] = await Promise.all([\n tryJson(`${API_KA}/health`),\n tryJson(`${API_KA}/api/stats/dashboard?period=7j`),\n tryJson(`${API_KA}/api/v1/runs?limit=60`),\n ...SERVICES.map(([s]) => tryJson(`${API_KA}/api/v1/${s}/stats`)),\n ]);\n\n const services = SERVICES.map(([service, nom, description], i) => {\n const d = statsParService[i]?.data;\n const days = (d?.days ?? []).slice(0, 15); // du plus récent au plus ancien","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a40e0560-06a0-460a-b3e5-ba7011052f17","timestamp":"2026-08-23T04:58:33.938Z","tool_use_result":{"stdout":" os.homedir(),\n \"Library/Caches/ms-playwright/chromium_headless_shell-1234/chrome-headless-shell-mac-arm64/chrome-headless-shell\",\n);\n\nconst SERVICES = [\n [\"louka\", \"Lou·Ka\", \"logements à louer\"],\n [\"immoka\", \"Immo·Ka\", \"propriétés à vendre\"],\n [\"autoka\", \"Auto·Ka\", \"voitures usagées\"],\n [\"fabrika\", \"Fabri·Ka\", \"produits québécois\"],\n [\"foodka\", \"Food·Ka\", \"prix d'épicerie\"],\n [\"restoka\", \"Resto·Ka\", \"restos, menus et prix\"],\n [\"sortika\", \"Sorti·Ka\", \"sorties et événements\"],\n [\"creaka\", \"Créa·Ka\", \"créateurs d'ici\"],\n [\"jobka\", \"Job·Ka\", \"offres d'emploi\"],\n];\n\n// ---------- utilitaires ----------\n\nfunction loadEnv() {\n const file = path.join(ROOT, \".env.local\");\n if (!existsSync(file)) return;\n for (const line of readFileSync(file, \"utf8\").split(\"\\n\")) {\n const m = line.match(/^([A-Z0-9_]+)=(.*)$/);\n if (m && !process.env[m[1]]) process.env[m[1]] = m[2];\n }\n}\n\nfunction todayLocal() {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: \"America/Toronto\",\n }).format(new Date());\n}\n\nasync function getJson(url, timeoutMs = 20000) {\n const res = await fetch(url, { signal: AbortSignal.timeout(timeoutMs) });\n if (!res.ok) throw new Error(`${url} → HTTP ${res.status}`);\n return res.json();\n}\n\nasync function tryJson(url, timeoutMs) {\n try {\n return await getJson(url, timeoutMs);\n } catch (e) {\n console.warn(`⚠️ ${url} : ${e.message}`);\n return null;\n }\n}\n\n// ---------- 1. collecte des données API·Ka ----------\n\nasync function collecter(dateRapport) {\n const [health, dash7j, runsRes, ...statsParService] = await Promise.all([\n tryJson(`${API_KA}/health`),\n tryJson(`${API_KA}/api/stats/dashboard?period=7j`),\n tryJson(`${API_KA}/api/v1/runs?limit=60`),\n ...SERVICES.map(([s]) => tryJson(`${API_KA}/api/v1/${s}/stats`)),\n ]);\n\n const services = SERVICES.map(([service, nom, description], i) => {\n const d = statsParService[i]?.data;\n const days = (d?.days ?? []).slice(0, 15); // du plus récent au plus ancien","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"91df6910-a185-4d6e-8465-80ce629d585c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK66yJXJGWiChfFLWNgC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V5yjoSu2c9DrMAS5k3ELCG","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"130,200p\" ~/apps/groupe-ka/scripts/rapport-quotidien.mjs'","description":"Read report prompt section"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1514,"cache_read_input_tokens":121480,"cache_creation":{"ephemeral_5m_input_tokens":1514,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"36cf7c74-423e-4b69-a127-34fce7315739","request_id":"req_011CeK66wE1PNeoh57SJyKaX"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V5yjoSu2c9DrMAS5k3ELCG","type":"tool_result","content":" records: r.records_count,\n duree_s: r.duration_seconds\n ? Math.round(r.duration_seconds * 10) / 10\n : null,\n })),\n };\n return snapshot;\n}\n\n// ---------- 2. rédaction par Claude ----------\n\nconst SYSTEM = `Tu es le rédacteur en chef du rapport quotidien du Groupe KA, un holding québécois d'agrégateurs de produits et services entièrement automatisés (Lou·Ka : location ; Immo·Ka : propriétés ; Auto·Ka : autos usagées ; Fabri·Ka : produits d'ici ; Food·Ka : épicerie ; Resto·Ka : restos ; Sorti·Ka : sorties ; Créa·Ka : créateurs ; Job·Ka : emplois). Sa devise : zéro saisie manuelle, zéro boîte noire — rien d'inventé, tout est traçable.\n\nChaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :\n- Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas.\n- Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % ».\n- Tu réponds UNIQUEMENT avec un objet JSON valide (aucun texte avant/après, aucune clôture markdown), au schéma exact :\n{\n \"titre\": \"titre du jour, accrocheur, max 70 caractères, sans le mot 'rapport'\",\n \"sous_titre\": \"une phrase qui résume la nuit\",\n \"meteo\": { \"etat\": \"beau\" | \"variable\" | \"orage\", \"resume\": \"l'état de l'écosystème en une phrase\" },\n \"chiffre_du_jour\": { \"valeur\": \"le nombre formaté\", \"label\": \"ce que c'est\", \"contexte\": \"pourquoi c'est LE chiffre du jour\" },\n \"edito\": [\"2 à 3 paragraphes d'éditorial sur la nuit de collecte, le mouvement d'ensemble, ce qui mérite attention\"],\n \"faits_saillants\": [{ \"plateforme\": \"Nom·Ka\", \"texte\": \"1-2 phrases : le fait marquant du jour pour cette plateforme, avec chiffres\" }],\n \"analyse\": [{ \"titre\": \"titre de section\", \"contenu\": [\"1-2 paragraphes d'analyse : tendances 14 jours, comparaisons entre plateformes, santé technique (runs, durées, connecteurs, API)\"] }],\n \"vigilance\": [\"points à surveiller (collectes échouées, baisses inhabituelles, connecteurs dégradés) — liste vide si tout va bien\"],\n \"mot_de_la_fin\": \"une phrase de clôture avec du panache\"\n}\n- \"faits_saillants\" : une entrée par plateforme qui a quelque chose à dire (6 à 9 entrées).\n- \"analyse\" : 2 ou 3 sections.\n- Utilise les vrais noms : Lou·Ka, Immo·Ka, Auto·Ka, Fabri·Ka, Food·Ka, Resto·Ka, Sorti·Ka, Créa·Ka, Job·Ka, API·Ka.`;\n\nasync function rediger(snapshot, dateRapport) {\n const key = process.env.ANTHROPIC_API_KEY;\n if (!key) throw new Error(\"ANTHROPIC_API_KEY manquante (.env.local)\");\n\n const user = `Date du rapport : ${dateRapport}. Données de la collecte (date_donnees = ${snapshot.date_donnees}) :\\n${JSON.stringify(snapshot)}`;\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": key,\n \"anthropic-version\": \"2023-06-01\",\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: MODEL,\n max_tokens: 8000,\n system: [{ type: \"text\", text: SYSTEM, cache_control: { type: \"ephemeral\" } }],\n messages: [{ role: \"user\", content: user }],\n }),\n signal: AbortSignal.timeout(300000),\n });\n if (!res.ok) {\n throw new Error(`API Anthropic → HTTP ${res.status} : ${await res.text()}`);\n }\n const data = await res.json();\n const texte = (data.content ?? [])\n .filter((b) => b.type === \"text\")\n .map((b) => b.text)\n .join(\"\");\n const brut = texte.replace(/^```(?:json)?\\s*/i, \"\").replace(/\\s*```\\s*$/, \"\");\n const debut = brut.indexOf(\"{\");\n const fin = brut.lastIndexOf(\"}\");\n if (debut === -1 || fin === -1) throw new Error(`Réponse sans JSON : ${texte.slice(0, 200)}`);\n const contenu = JSON.parse(brut.slice(debut, fin + 1));\n for (const champ of [\"titre\", \"edito\", \"faits_saillants\", \"analyse\"]) {\n if (!contenu[champ]) throw new Error(`Champ manquant dans la réponse : ${champ}`);\n }","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8f3c251c-96ef-4a08-8614-9ff2d8a08a96","timestamp":"2026-08-23T04:58:37.221Z","tool_use_result":{"stdout":" records: r.records_count,\n duree_s: r.duration_seconds\n ? Math.round(r.duration_seconds * 10) / 10\n : null,\n })),\n };\n return snapshot;\n}\n\n// ---------- 2. rédaction par Claude ----------\n\nconst SYSTEM = `Tu es le rédacteur en chef du rapport quotidien du Groupe KA, un holding québécois d'agrégateurs de produits et services entièrement automatisés (Lou·Ka : location ; Immo·Ka : propriétés ; Auto·Ka : autos usagées ; Fabri·Ka : produits d'ici ; Food·Ka : épicerie ; Resto·Ka : restos ; Sorti·Ka : sorties ; Créa·Ka : créateurs ; Job·Ka : emplois). Sa devise : zéro saisie manuelle, zéro boîte noire — rien d'inventé, tout est traçable.\n\nChaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :\n- Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas.\n- Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % ».\n- Tu réponds UNIQUEMENT avec un objet JSON valide (aucun texte avant/après, aucune clôture markdown), au schéma exact :\n{\n \"titre\": \"titre du jour, accrocheur, max 70 caractères, sans le mot 'rapport'\",\n \"sous_titre\": \"une phrase qui résume la nuit\",\n \"meteo\": { \"etat\": \"beau\" | \"variable\" | \"orage\", \"resume\": \"l'état de l'écosystème en une phrase\" },\n \"chiffre_du_jour\": { \"valeur\": \"le nombre formaté\", \"label\": \"ce que c'est\", \"contexte\": \"pourquoi c'est LE chiffre du jour\" },\n \"edito\": [\"2 à 3 paragraphes d'éditorial sur la nuit de collecte, le mouvement d'ensemble, ce qui mérite attention\"],\n \"faits_saillants\": [{ \"plateforme\": \"Nom·Ka\", \"texte\": \"1-2 phrases : le fait marquant du jour pour cette plateforme, avec chiffres\" }],\n \"analyse\": [{ \"titre\": \"titre de section\", \"contenu\": [\"1-2 paragraphes d'analyse : tendances 14 jours, comparaisons entre plateformes, santé technique (runs, durées, connecteurs, API)\"] }],\n \"vigilance\": [\"points à surveiller (collectes échouées, baisses inhabituelles, connecteurs dégradés) — liste vide si tout va bien\"],\n \"mot_de_la_fin\": \"une phrase de clôture avec du panache\"\n}\n- \"faits_saillants\" : une entrée par plateforme qui a quelque chose à dire (6 à 9 entrées).\n- \"analyse\" : 2 ou 3 sections.\n- Utilise les vrais noms : Lou·Ka, Immo·Ka, Auto·Ka, Fabri·Ka, Food·Ka, Resto·Ka, Sorti·Ka, Créa·Ka, Job·Ka, API·Ka.`;\n\nasync function rediger(snapshot, dateRapport) {\n const key = process.env.ANTHROPIC_API_KEY;\n if (!key) throw new Error(\"ANTHROPIC_API_KEY manquante (.env.local)\");\n\n const user = `Date du rapport : ${dateRapport}. Données de la collecte (date_donnees = ${snapshot.date_donnees}) :\\n${JSON.stringify(snapshot)}`;\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": key,\n \"anthropic-version\": \"2023-06-01\",\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: MODEL,\n max_tokens: 8000,\n system: [{ type: \"text\", text: SYSTEM, cache_control: { type: \"ephemeral\" } }],\n messages: [{ role: \"user\", content: user }],\n }),\n signal: AbortSignal.timeout(300000),\n });\n if (!res.ok) {\n throw new Error(`API Anthropic → HTTP ${res.status} : ${await res.text()}`);\n }\n const data = await res.json();\n const texte = (data.content ?? [])\n .filter((b) => b.type === \"text\")\n .map((b) => b.text)\n .join(\"\");\n const brut = texte.replace(/^```(?:json)?\\s*/i, \"\").replace(/\\s*```\\s*$/, \"\");\n const debut = brut.indexOf(\"{\");\n const fin = brut.lastIndexOf(\"}\");\n if (debut === -1 || fin === -1) throw new Error(`Réponse sans JSON : ${texte.slice(0, 200)}`);\n const contenu = JSON.parse(brut.slice(debut, fin + 1));\n for (const champ of [\"titre\", \"edito\", \"faits_saillants\", \"analyse\"]) {\n if (!contenu[champ]) throw new Error(`Champ manquant dans la réponse : ${champ}`);\n }","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d633e1d1-c277-4944-b40c-238962ed9719","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"35a176e7-261d-43ad-ae70-c4d63f3c13c2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"5d05f096-e939-44cd-80ff-8bf9d374e860","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"484db4c7-5c38-4962-a14f-b0963634ea4a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":258,"estimated_tokens_delta":8,"uuid":"4a2d6d12-7bb7-4655-a8d1-60737d6755dd","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK67DiCQocbPvCgKQddi","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":2140,"cache_read_input_tokens":122994,"cache_creation":{"ephemeral_5m_input_tokens":2140,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fe9f4876-9259-44cc-987f-26152caa56c5","request_id":"req_011CeK67BCdgYtxkmyMpikCu"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK67DiCQocbPvCgKQddi","type":"message","role":"assistant","content":[{"type":"text","text":"Le rapport est rédigé par Claude via un prompt système qui ignore les cadences de collecte. J'ajoute cette connaissance pour éliminer les fausses alertes « figé » sur Resto-Ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2140,"cache_read_input_tokens":122994,"cache_creation":{"ephemeral_5m_input_tokens":2140,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ed5d6b18-775f-402b-a91d-7b669db23b0b","request_id":"req_011CeK67BCdgYtxkmyMpikCu"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK67DiCQocbPvCgKQddi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013jSVxfEfEeGtqhmmEkK7nf","name":"Bash","input":{"command":"scp M3U96b:'~/apps/groupe-ka/scripts/rapport-quotidien.mjs' /tmp/apika-fix/rapport-quotidien.mjs","description":"Copy report script 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output)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"341af813-0650-4809-8c68-8585514932f5","timestamp":"2026-08-23T04:58:46.878Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5760952c-9eaa-4552-ac20-d173a03ea6c3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK67vEzmFo6mhLziWndj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DQt1ueaA421SkdyYQzeBVn","name":"Bash","input":{"command":"grep -n \"Règles absolues\" /tmp/apika-fix/rapport-quotidien.mjs","description":"Locate insertion point in 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01U9rXbeiWTiSYdc7ti9ozCX","type":"tool_result","content":"142\t\n143\tChaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n144\t\n145\tRègles absolues :\n146\t- Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas.\n147\t- Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % »."}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d0878305-99dc-47a8-8764-db29a312325d","timestamp":"2026-08-23T04:58:52.638Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/rapport-quotidien.mjs","content":"\nChaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :\n- Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas.\n- Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % ».","numLines":6,"startLine":142,"totalLines":280}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8dcd9e9a-5c93-42a9-9424-d39068119cb9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK68LZEXFgF4ugvTVZot","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F9qWWdq5MAioLHUmKbo6gE","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/rapport-quotidien.mjs","old_string":"Chaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :","new_string":"Chaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nCadences de rafraîchissement des sources (à connaître avant de crier à l'anomalie) : la plupart des plateformes resynchronisent leurs sources plusieurs fois par jour, mais Resto·Ka se synchronise UNE FOIS PAR SEMAINE (un compte d'enregistrements identique plusieurs jours d'affilée y est NORMAL, pas un cache figé) et Créa·Ka une fois par jour. Ne signale une stagnation en vigilance que si elle dépasse la cadence attendue de la plateforme.\n\nRègles absolues :"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":307,"cache_creation_input_tokens":443,"cache_read_input_tokens":125823,"cache_creation":{"ephemeral_5m_input_tokens":443,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"72a27614-a592-4444-9d52-f3043de1b619","request_id":"req_011CeK68K6vHmdsuEU2setpf"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F9qWWdq5MAioLHUmKbo6gE","type":"tool_result","content":"The file /tmp/apika-fix/rapport-quotidien.mjs has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"890f92d2-f3d5-499d-b7f1-d10445c50a97","timestamp":"2026-08-23T04:59:01.512Z","tool_use_result":{"filePath":"/tmp/apika-fix/rapport-quotidien.mjs","oldString":"Chaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :","newString":"Chaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nCadences de rafraîchissement des sources (à connaître avant de crier à l'anomalie) : la plupart des plateformes resynchronisent leurs sources plusieurs fois par jour, mais Resto·Ka se synchronise UNE FOIS PAR SEMAINE (un compte d'enregistrements identique plusieurs jours d'affilée y est NORMAL, pas un cache figé) et Créa·Ka une fois par jour. Ne signale une stagnation en vigilance que si elle dépasse la cadence attendue de la plateforme.\n\nRègles absolues :","originalFile":"// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// Rapport quotidien du Groupe KA — généré chaque matin à 06:00 (PM2 cron).\n// Pipeline : données API·Ka (collecte de 02:00) → rédaction par Claude\n// (JSON structuré) → data/rapports/YYYY-MM-DD.json → PDF via le Chromium\n// headless de Playwright qui « imprime » la page /rapports/[date] du site\n// (une seule source de rendu, @media print dans globals.css).\n// Usage : node scripts/rapport-quotidien.mjs [--date YYYY-MM-DD] [--force] [--pdf-only]\nimport { readFileSync, writeFileSync, mkdirSync, existsSync } from \"node:fs\";\nimport { execFileSync } from \"node:child_process\";\nimport path from \"node:path\";\nimport os from \"node:os\";\nimport { fileURLToPath } from \"node:url\";\n\nconst ROOT = path.resolve(path.dirname(fileURLToPath(import.meta.url)), \"..\");\nconst RAPPORTS_DIR = path.join(ROOT, \"data\", \"rapports\");\nconst API_KA = \"http://127.0.0.1:8000\";\nconst SITE = \"http://127.0.0.1:8110\";\nconst MODEL = \"claude-sonnet-4-6\";\nconst HEADLESS_SHELL = path.join(\n os.homedir(),\n \"Library/Caches/ms-playwright/chromium_headless_shell-1234/chrome-headless-shell-mac-arm64/chrome-headless-shell\",\n);\n\nconst SERVICES = [\n [\"louka\", \"Lou·Ka\", \"logements à louer\"],\n [\"immoka\", \"Immo·Ka\", \"propriétés à vendre\"],\n [\"autoka\", \"Auto·Ka\", \"voitures usagées\"],\n [\"fabrika\", \"Fabri·Ka\", \"produits québécois\"],\n [\"foodka\", \"Food·Ka\", \"prix d'épicerie\"],\n [\"restoka\", \"Resto·Ka\", \"restos, menus et prix\"],\n [\"sortika\", \"Sorti·Ka\", \"sorties et événements\"],\n [\"creaka\", \"Créa·Ka\", \"créateurs d'ici\"],\n [\"jobka\", \"Job·Ka\", \"offres d'emploi\"],\n];\n\n// ---------- utilitaires ----------\n\nfunction loadEnv() {\n const file = path.join(ROOT, \".env.local\");\n if (!existsSync(file)) return;\n for (const line of readFileSync(file, \"utf8\").split(\"\\n\")) {\n const m = line.match(/^([A-Z0-9_]+)=(.*)$/);\n if (m && !process.env[m[1]]) process.env[m[1]] = m[2];\n }\n}\n\nfunction todayLocal() {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: \"America/Toronto\",\n }).format(new Date());\n}\n\nasync function getJson(url, timeoutMs = 20000) {\n const res = await fetch(url, { signal: AbortSignal.timeout(timeoutMs) });\n if (!res.ok) throw new Error(`${url} → HTTP ${res.status}`);\n return res.json();\n}\n\nasync function tryJson(url, timeoutMs) {\n try {\n return await getJson(url, timeoutMs);\n } catch (e) {\n console.warn(`⚠️ ${url} : ${e.message}`);\n return null;\n }\n}\n\n// ---------- 1. collecte des données API·Ka ----------\n\nasync function collecter(dateRapport) {\n const [health, dash7j, runsRes, ...statsParService] = await Promise.all([\n tryJson(`${API_KA}/health`),\n tryJson(`${API_KA}/api/stats/dashboard?period=7j`),\n tryJson(`${API_KA}/api/v1/runs?limit=60`),\n ...SERVICES.map(([s]) => tryJson(`${API_KA}/api/v1/${s}/stats`)),\n ]);\n\n const services = SERVICES.map(([service, nom, description], i) => {\n const d = statsParService[i]?.data;\n const days = (d?.days ?? []).slice(0, 15); // du plus récent au plus ancien\n const jour = days[0] ?? null;\n const veille = days[1] ?? null;\n const delta =\n jour && veille && veille.records > 0\n ? ((jour.records - veille.records) / veille.records) * 100\n : null;\n return {\n service,\n nom,\n description,\n total: d?.total_records ?? null,\n date_jour: jour?.date_key ?? null,\n jour: jour?.records ?? null,\n veille: veille?.records ?? null,\n delta_pct: delta === null ? null : Math.round(delta * 100) / 100,\n statut: d?.last_success?.status ?? \"inconnu\",\n serie_14j: days\n .slice(0, 14)\n .map((x) => ({ d: x.date_key, n: x.records }))\n .reverse(),\n };\n });\n\n const dateDonnees =\n services.map((s) => s.date_jour).filter(Boolean).sort().at(-1) ?? dateRapport;\n\n const runsJour = (runsRes?.data ?? []).filter(\n (r) => r.date_key === dateDonnees,\n );\n\n const kpi = (id) =>\n dash7j?.data?.kpis?.find((k) => k.id === id)?.value ?? null;\n\n const snapshot = {\n date_donnees: dateDonnees,\n services,\n totaux: {\n records_jour: services.reduce((a, s) => a + (s.jour ?? 0), 0),\n records_total: services.reduce((a, s) => a + (s.total ?? 0), 0),\n },\n connecteurs: health?.data?.connectors ?? null,\n api_7j: {\n appels: kpi(\"calls\"),\n latence_ms: kpi(\"latency\"),\n erreurs_pct: kpi(\"errors\"),\n },\n runs_du_jour: runsJour.map((r) => ({\n service: r.service,\n statut: r.status,\n records: r.records_count,\n duree_s: r.duration_seconds\n ? Math.round(r.duration_seconds * 10) / 10\n : null,\n })),\n };\n return snapshot;\n}\n\n// ---------- 2. rédaction par Claude ----------\n\nconst SYSTEM = `Tu es le rédacteur en chef du rapport quotidien du Groupe KA, un holding québécois d'agrégateurs de produits et services entièrement automatisés (Lou·Ka : location ; Immo·Ka : propriétés ; Auto·Ka : autos usagées ; Fabri·Ka : produits d'ici ; Food·Ka : épicerie ; Resto·Ka : restos ; Sorti·Ka : sorties ; Créa·Ka : créateurs ; Job·Ka : emplois). Sa devise : zéro saisie manuelle, zéro boîte noire — rien d'inventé, tout est traçable.\n\nChaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été.\n\nRègles absolues :\n- Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas.\n- Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % ».\n- Tu réponds UNIQUEMENT avec un objet JSON valide (aucun texte avant/après, aucune clôture markdown), au schéma exact :\n{\n \"titre\": \"titre du jour, accrocheur, max 70 caractères, sans le mot 'rapport'\",\n \"sous_titre\": \"une phrase qui résume la nuit\",\n \"meteo\": { \"etat\": \"beau\" | \"variable\" | \"orage\", \"resume\": \"l'état de l'écosystème en une phrase\" },\n \"chiffre_du_jour\": { \"valeur\": \"le nombre formaté\", \"label\": \"ce que c'est\", \"contexte\": \"pourquoi c'est LE chiffre du jour\" },\n \"edito\": [\"2 à 3 paragraphes d'éditorial sur la nuit de collecte, le mouvement d'ensemble, ce qui mérite attention\"],\n \"faits_saillants\": [{ \"plateforme\": \"Nom·Ka\", \"texte\": \"1-2 phrases : le fait marquant du jour pour cette plateforme, avec chiffres\" }],\n \"analyse\": [{ \"titre\": \"titre de section\", \"contenu\": [\"1-2 paragraphes d'analyse : tendances 14 jours, comparaisons entre plateformes, santé technique (runs, durées, connecteurs, API)\"] }],\n \"vigilance\": [\"points à surveiller (collectes échouées, baisses inhabituelles, connecteurs dégradés) — liste vide si tout va bien\"],\n \"mot_de_la_fin\": \"une phrase de clôture avec du panache\"\n}\n- \"faits_saillants\" : une entrée par plateforme qui a quelque chose à dire (6 à 9 entrées).\n- \"analyse\" : 2 ou 3 sections.\n- Utilise les vrais noms : Lou·Ka, Immo·Ka, Auto·Ka, Fabri·Ka, Food·Ka, Resto·Ka, Sorti·Ka, Créa·Ka, Job·Ka, API·Ka.`;\n\nasync function rediger(snapshot, dateRapport) {\n const key = process.env.ANTHROPIC_API_KEY;\n if (!key) throw new Error(\"ANTHROPIC_API_KEY manquante (.env.local)\");\n\n const user = `Date du rapport : ${dateRapport}. Données de la collecte (date_donnees = ${snapshot.date_donnees}) :\\n${JSON.stringify(snapshot)}`;\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": key,\n \"anthropic-version\": \"2023-06-01\",\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n model: MODEL,\n max_tokens: 8000,\n system: [{ type: \"text\", text: SYSTEM, cache_control: { type: \"ephemeral\" } }],\n messages: [{ role: \"user\", content: user }],\n }),\n signal: AbortSignal.timeout(300000),\n });\n if (!res.ok) {\n throw new Error(`API Anthropic → HTTP ${res.status} : ${await res.text()}`);\n }\n const data = await res.json();\n const texte = (data.content ?? [])\n .filter((b) => b.type === \"text\")\n .map((b) => b.text)\n .join(\"\");\n const brut = texte.replace(/^```(?:json)?\\s*/i, \"\").replace(/\\s*```\\s*$/, \"\");\n const debut = brut.indexOf(\"{\");\n const fin = brut.lastIndexOf(\"}\");\n if (debut === -1 || fin === -1) throw new Error(`Réponse sans JSON : ${texte.slice(0, 200)}`);\n const contenu = JSON.parse(brut.slice(debut, fin + 1));\n for (const champ of [\"titre\", \"edito\", \"faits_saillants\", \"analyse\"]) {\n if (!contenu[champ]) throw new Error(`Champ manquant dans la réponse : ${champ}`);\n }\n return { contenu, usage: data.usage };\n}\n\n// ---------- 3. rendu PDF (imprime la page du site) ----------\n\nfunction genererPdf(dateRapport) {\n if (!existsSync(HEADLESS_SHELL)) {\n console.warn(`⚠️ Chromium headless introuvable (${HEADLESS_SHELL}) — pas de PDF.`);\n return false;\n }\n const pdfPath = path.join(RAPPORTS_DIR, `${dateRapport}.pdf`);\n execFileSync(\n HEADLESS_SHELL,\n [\n \"--headless\",\n \"--disable-gpu\",\n \"--no-margins\",\n \"--run-all-compositor-stages-before-draw\",\n \"--virtual-time-budget=20000\",\n \"--timeout=60000\",\n `--print-to-pdf=${pdfPath}`,\n \"--no-pdf-header-footer\",\n `${SITE}/rapports/${dateRapport}`,\n ],\n { stdio: \"pipe\", timeout: 120000 },\n );\n if (!existsSync(pdfPath)) throw new Error(\"le PDF n'a pas été produit\");\n console.log(`✅ PDF : ${pdfPath}`);\n return true;\n}\n\n// ---------- main ----------\n\nasync function main() {\n loadEnv();\n const args = process.argv.slice(2);\n const force = args.includes(\"--force\");\n const pdfOnly = args.includes(\"--pdf-only\");\n const dateArg = args[args.indexOf(\"--date\") + 1];\n const dateRapport =\n args.includes(\"--date\") && /^\\d{4}-\\d{2}-\\d{2}$/.test(dateArg ?? \"\")\n ? dateArg\n : todayLocal();\n const jsonPath = path.join(RAPPORTS_DIR, `${dateRapport}.json`);\n mkdirSync(RAPPORTS_DIR, { recursive: true });\n\n if (!pdfOnly) {\n if (existsSync(jsonPath) && !force) {\n console.log(`Rapport ${dateRapport} déjà généré (--force pour refaire).`);\n } else {\n console.log(`📡 Collecte des données API·Ka…`);\n const snapshot = await collecter(dateRapport);\n if (!snapshot.services.some((s) => s.total !== null)) {\n throw new Error(\"API·Ka injoignable — aucune donnée, rapport annulé.\");\n }\n console.log(\n `✍️ Rédaction par ${MODEL} (${snapshot.totaux.records_jour} enregistrements le ${snapshot.date_donnees})…`,\n );\n const { contenu, usage } = await rediger(snapshot, dateRapport);\n const rapport = {\n date: dateRapport,\n genere_le: new Date().toISOString(),\n modele: MODEL,\n usage,\n contenu,\n snapshot,\n };\n writeFileSync(jsonPath, JSON.stringify(rapport, null, 2));\n console.log(`✅ Rapport : ${jsonPath} (« ${contenu.titre} »)`);\n }\n }\n\n genererPdf(dateRapport);\n}\n\nmain().catch((e) => {\n console.error(`❌ ${e.message}`);\n process.exit(1);\n});\n","structuredPatch":[{"oldStart":142,"oldLines":6,"newStart":142,"newLines":8,"lines":[" "," Chaque matin, tu écris LE rapport de la nuit : la collecte automatisée de 02:00 vient de passer sur les 9 plateformes et tu racontes ce qu'elle a trouvé. Ton style : français québécois soigné, précis, vivant, avec de l'aplomb — un rapport qu'on a du plaisir à lire, jamais un procès-verbal plate. Tu compares au jour précédent, tu repères les tendances sur 14 jours, les records, les séries en progression ou en recul, et tu le dis franchement quand une collecte a mal été."," ","+Cadences de rafraîchissement des sources (à connaître avant de crier à l'anomalie) : la plupart des plateformes resynchronisent leurs sources plusieurs fois par jour, mais Resto·Ka se synchronise UNE FOIS PAR SEMAINE (un compte d'enregistrements identique plusieurs jours d'affilée y est NORMAL, pas un cache figé) et Créa·Ka une fois par jour. Ne signale une stagnation en vigilance que si elle dépasse la cadence attendue de la plateforme.","+"," Règles absolues :"," - Tu n'inventes AUCUN chiffre : tout vient des données fournies. Si une donnée est nulle/absente, tu le dis ou tu n'en parles pas."," - Nombres en format canadien-français (espace pour les milliers, virgule décimale) : « 45 073 », « 2,3 % »."]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"91a3c547-6046-417e-a184-13983c822102","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6913zpH8boFmLQvHpZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01857Pp2avR4pBsJXo8XmpmF","name":"Bash","input":{"command":"scp /tmp/apika-fix/rapport-quotidien.mjs M3U96b:'~/apps/groupe-ka/scripts/rapport-quotidien.mjs' && ssh M3U96b 'cd ~/apps/groupe-ka && node --check scripts/rapport-quotidien.mjs && echo SYNTAX-OK && git add scripts/rapport-quotidien.mjs && git commit -m \"rapport-quotidien: cadences de sync dans le prompt (Resto·Ka hebdo)\n\nÉvite les fausses alertes « cache figé » : Resto·Ka se synchronise une fois\npar semaine, un volume identique 4 jours de suite y est normal.\n\nCo-Authored-By: Claude Fable 5 \" && git push origin main && git log --oneline -1'","description":"Deploy and commit report prompt fix"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1092,"cache_read_input_tokens":126266,"cache_creation":{"ephemeral_5m_input_tokens":1092,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fd789eef-9ccf-4adb-916e-83140428a3f7","request_id":"req_011CeK68y8QaEWFD4z5i7soW"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01857Pp2avR4pBsJXo8XmpmF","type":"tool_result","content":"SYNTAX-OK\n[main 736bf09] rapport-quotidien: cadences de sync dans le prompt (Resto·Ka hebdo)\n 1 file changed, 2 insertions(+)\nTo gitsrv:srv/git/groupe-ka.git\n c9e7b2d..736bf09 main -> main\n736bf09 rapport-quotidien: cadences de sync dans le prompt (Resto·Ka hebdo)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1d1e3f13-5ec6-475d-a16f-33e5068aff3f","timestamp":"2026-08-23T04:59:08.115Z","tool_use_result":{"stdout":"SYNTAX-OK\n[main 736bf09] rapport-quotidien: cadences de sync dans le prompt (Resto·Ka hebdo)\n 1 file changed, 2 insertions(+)\nTo gitsrv:srv/git/groupe-ka.git\n c9e7b2d..736bf09 main -> main\n736bf09 rapport-quotidien: cadences de sync dans le prompt (Resto·Ka hebdo)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false,"gitOperation":{"commit":{"sha":"736bf09","kind":"committed"},"push":{"branch":"main"}}}}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK69VBvRZjyiq9CP229t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016KFpUViiF2vhcYfM7p5er2","name":"TaskUpdate","input":{"taskId":"2","status":"in_progress"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":516,"cache_read_input_tokens":127358,"cache_creation":{"ephemeral_5m_input_tokens":516,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ec7120a6-9853-4f5b-b7c4-e06736f7c556","request_id":"req_011CeK69TPXE3YvN5BmkJK72"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016KFpUViiF2vhcYfM7p5er2","type":"tool_result","content":"Updated task #2 status"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"31b35e7e-9003-4db3-aaa5-9da91b448136","timestamp":"2026-08-23T04:59:17.651Z","tool_use_result":{"success":true,"taskId":"2","updatedFields":["status"],"statusChange":{"from":"pending","to":"in_progress"}}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK69VBvRZjyiq9CP229t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PdP7CBfDp2iSpAXmhPNqyS","name":"Bash","input":{"command":"ssh M3U96b 'psql \"postgresql://apika_user:5dfb215940e4be80b5b786b894e0d46003ad6b2e8019b011@localhost:5432/apika\" -c \"\nSELECT service, count(*), min(last_success)::date AS plus_vieux, max(last_success)::date AS plus_recent\nFROM connector_health WHERE status='\\''stale'\\'' AND source != '\\''_app'\\'' GROUP BY service ORDER BY 2 DESC;\n\" -c \"\nSELECT source, last_success, found_last, message FROM connector_health WHERE service='\\''louka'\\'' AND status='\\''stale'\\'' ORDER BY last_success LIMIT 15;\n\"'","description":"Stale connector details by service and louka sample"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":516,"cache_read_input_tokens":127358,"cache_creation":{"ephemeral_5m_input_tokens":516,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1cf42ab1-30fe-4b0f-8482-6ca9f16d5da8","request_id":"req_011CeK69TPXE3YvN5BmkJK72"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PdP7CBfDp2iSpAXmhPNqyS","type":"tool_result","content":" service | count | plus_vieux | plus_recent \n---------+-------+------------+-------------\n louka | 82 | 2026-08-18 | 2026-08-22\n autoka | 57 | 2026-08-18 | 2026-08-19\n jobka | 33 | 2026-08-18 | 2026-08-21\n immoka | 19 | 2026-08-19 | 2026-08-21\n foodka | 7 | 2026-08-20 | 2026-08-20\n(5 lignes)\n\n source | last_success | found_last | message \n-----------------------+-------------------------------+------------+-------------------------------------------------\n sig | 2026-08-18 04:53:45.30569-04 | 4 | aucun sync réussi depuis 115.9 h (seuil : 20 h)\n ferrovia | 2026-08-18 16:41:24.837735-04 | 22 | aucun sync réussi depuis 104.1 h (seuil : 20 h)\n royal_lepage | 2026-08-18 16:41:31.680677-04 | 950 | aucun sync réussi depuis 104.1 h (seuil : 20 h)\n aalto | 2026-08-18 22:45:55.351913-04 | 26 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n acceslogis_gb | 2026-08-18 22:45:55.493974-04 | 10 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n dynamic | 2026-08-18 22:45:58.890455-04 | 47 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n agence_sherbrooke | 2026-08-18 22:46:02.279082-04 | 12 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n akelius | 2026-08-18 22:46:03.450739-04 | 236 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alexcellence | 2026-08-18 22:46:08.670159-04 | 6 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alias_appartements | 2026-08-18 22:46:08.800526-04 | 1 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alouer_sherbrooke | 2026-08-18 22:46:16.031722-04 | 1 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n app_urbains | 2026-08-18 22:46:25.587674-04 | 18 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n appartements_rimouski | 2026-08-18 22:46:26.387153-04 | 19 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n ascensio | 2026-08-18 22:46:26.551705-04 | 9 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n atimco | 2026-08-18 22:46:46.036801-04 | 299 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n(15 lignes)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"42c349b8-f556-42a8-8b9a-a99f4f3d4844","timestamp":"2026-08-23T04:59:21.970Z","tool_use_result":{"stdout":" service | count | plus_vieux | plus_recent \n---------+-------+------------+-------------\n louka | 82 | 2026-08-18 | 2026-08-22\n autoka | 57 | 2026-08-18 | 2026-08-19\n jobka | 33 | 2026-08-18 | 2026-08-21\n immoka | 19 | 2026-08-19 | 2026-08-21\n foodka | 7 | 2026-08-20 | 2026-08-20\n(5 lignes)\n\n source | last_success | found_last | message \n-----------------------+-------------------------------+------------+-------------------------------------------------\n sig | 2026-08-18 04:53:45.30569-04 | 4 | aucun sync réussi depuis 115.9 h (seuil : 20 h)\n ferrovia | 2026-08-18 16:41:24.837735-04 | 22 | aucun sync réussi depuis 104.1 h (seuil : 20 h)\n royal_lepage | 2026-08-18 16:41:31.680677-04 | 950 | aucun sync réussi depuis 104.1 h (seuil : 20 h)\n aalto | 2026-08-18 22:45:55.351913-04 | 26 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n acceslogis_gb | 2026-08-18 22:45:55.493974-04 | 10 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n dynamic | 2026-08-18 22:45:58.890455-04 | 47 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n agence_sherbrooke | 2026-08-18 22:46:02.279082-04 | 12 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n akelius | 2026-08-18 22:46:03.450739-04 | 236 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alexcellence | 2026-08-18 22:46:08.670159-04 | 6 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alias_appartements | 2026-08-18 22:46:08.800526-04 | 1 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n alouer_sherbrooke | 2026-08-18 22:46:16.031722-04 | 1 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n app_urbains | 2026-08-18 22:46:25.587674-04 | 18 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n appartements_rimouski | 2026-08-18 22:46:26.387153-04 | 19 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n ascensio | 2026-08-18 22:46:26.551705-04 | 9 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n atimco | 2026-08-18 22:46:46.036801-04 | 299 | aucun sync réussi depuis 98.0 h (seuil : 20 h)\n(15 lignes)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"80331602-9cf6-4b06-b79f-cc1e78aa61e3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"e5a2a03f-1b3d-4df0-a5e5-83bb23e5b59d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"9dce13e7-6580-44bb-9858-a887b8f1e829","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":200,"estimated_tokens_delta":50,"uuid":"5935a8b6-7e5b-467a-a6c0-a9be95aacb6d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":204,"estimated_tokens_delta":4,"uuid":"1fcf4634-3254-4f99-8924-995b85a7e40b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6AWAV9ugZhB5JooWh5","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":2071,"cache_read_input_tokens":127874,"cache_creation":{"ephemeral_5m_input_tokens":2071,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1f12e95f-116b-4b8e-9f35-7e1366131db8","request_id":"req_011CeK6AUaVaq2u3Paed7TpB"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6AWAV9ugZhB5JooWh5","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":2071,"cache_read_input_tokens":127874,"cache_creation":{"ephemeral_5m_input_tokens":2071,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4fff979c-f135-44fc-9495-c3db4d6892d5","request_id":"req_011CeK6AUaVaq2u3Paed7TpB"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6AWAV9ugZhB5JooWh5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QkVVSorgTodE7dJjiMjztr","name":"Bash","input":{"command":"ssh M3U96b 'pm2 describe lou-ka-sync | grep -E \"status|uptime|restarts|script args|created\"; echo \"---OUT---\"; tail -20 ~/.pm2/logs/lou-ka-sync-out.log; echo \"---ERR---\"; tail -20 ~/.pm2/logs/lou-ka-sync-error.log'","description":"Check lou-ka-sync process and logs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2071,"cache_read_input_tokens":127874,"cache_creation":{"ephemeral_5m_input_tokens":2071,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"56bbb5c0-895c-43d1-98d8-19405c37e1fb","request_id":"req_011CeK6AUaVaq2u3Paed7TpB"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QkVVSorgTodE7dJjiMjztr","type":"tool_result","content":"│ status │ online │\n│ restarts │ 35 │\n│ uptime │ 5h │\n│ script args │ run.py watch 60 │\n│ unstable restarts │ 0 │\n│ created at │ 2026-08-22T23:27:56.591Z │\n---OUT---\n[lou-ka] sync ubee ...\n[lou-ka] {'source': 'ubee', 'found': 243, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 6.0}\n[lou-ka] sync uptimo ...\n[lou-ka] {'source': 'uptimo', 'found': 42, 'added': 0, 'updated': 0, 'removed': 8, 'seconds': 9.1}\n[lou-ka] sync urban_services ...\n[lou-ka] {'source': 'urban_services', 'found': 44, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 11.6}\n[lou-ka] sync utile ...\n[lou-ka] {'source': 'utile', 'found': 28, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 8.4}\n[lou-ka] sync via_capitale ...\n[lou-ka] {'source': 'via_capitale', 'found': 192, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 12.8}\n[lou-ka] sync viridi ...\n[lou-ka] {'source': 'viridi', 'found': 16, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.8}\n[lou-ka] sync wandji ...\n[lou-ka] {'source': 'wandji', 'found': 26, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.4}\n[lou-ka] sync werkliv ...\n[lou-ka] {'source': 'werkliv', 'found': 4, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.4}\n[lou-ka] sync zumper ...\n[lou-ka] {'source': 'zumper', 'found': 4809, 'added': 0, 'updated': 1, 'removed': 26, 'seconds': 273.0}\n[lou-ka] geocode-batch 3/3 (résolues 3, échecs 0)\n[lou-ka] geocode-batch {'geocoded': 3, 'failed': 0, 'batches': 1}\n---ERR---\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(\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(","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"456a0636-a687-42a9-aeba-550c168b4a65","timestamp":"2026-08-23T04:59:32.474Z","tool_use_result":{"stdout":"│ status │ online │\n│ restarts │ 35 │\n│ uptime │ 5h │\n│ script args │ run.py watch 60 │\n│ unstable restarts │ 0 │\n│ created at │ 2026-08-22T23:27:56.591Z │\n---OUT---\n[lou-ka] sync ubee ...\n[lou-ka] {'source': 'ubee', 'found': 243, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 6.0}\n[lou-ka] sync uptimo ...\n[lou-ka] {'source': 'uptimo', 'found': 42, 'added': 0, 'updated': 0, 'removed': 8, 'seconds': 9.1}\n[lou-ka] sync urban_services ...\n[lou-ka] {'source': 'urban_services', 'found': 44, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 11.6}\n[lou-ka] sync utile ...\n[lou-ka] {'source': 'utile', 'found': 28, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 8.4}\n[lou-ka] sync via_capitale ...\n[lou-ka] {'source': 'via_capitale', 'found': 192, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 12.8}\n[lou-ka] sync viridi ...\n[lou-ka] {'source': 'viridi', 'found': 16, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.8}\n[lou-ka] sync wandji ...\n[lou-ka] {'source': 'wandji', 'found': 26, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.4}\n[lou-ka] sync werkliv ...\n[lou-ka] {'source': 'werkliv', 'found': 4, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.4}\n[lou-ka] sync zumper ...\n[lou-ka] {'source': 'zumper', 'found': 4809, 'added': 0, 'updated': 1, 'removed': 26, 'seconds': 273.0}\n[lou-ka] geocode-batch 3/3 (résolues 3, échecs 0)\n[lou-ka] geocode-batch {'geocoded': 3, 'failed': 0, 'batches': 1}\n---ERR---\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(\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(","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3c91939c-aeba-496e-86f6-7bd9d2158038","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2418a217-2739-422c-8141-bf18140cdafb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"a440e634-49d9-4f8b-8359-01b31cc77da0","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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sig ...\n70049:[lou-ka] sync zumper ...\n--- taille du log et debut:\n 70052 /Users/simon-pierreboucher/.pm2/logs/lou-ka-sync-out.log\n34433","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5aeaa87d-5505-44b9-8163-5ab5434c0965","timestamp":"2026-08-23T04:59:48.071Z","tool_use_result":{"stdout":"69373:[lou-ka] sync royal_lepage ...\n69389:[lou-ka] sync sig ...\n69431:[lou-ka] sync zumper ...\n69466:[lou-ka] sync aalto ...\n69474:[lou-ka] sync akelius ...\n69621:[lou-ka] sync aalto ...\n69629:[lou-ka] sync akelius ...\n69991:[lou-ka] sync royal_lepage ...\n70007:[lou-ka] sync sig ...\n70049:[lou-ka] sync zumper ...\n--- taille du log et debut:\n 70052 /Users/simon-pierreboucher/.pm2/logs/lou-ka-sync-out.log\n34433","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"37256e73-ebb8-49a8-963e-37daf7079d2e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6CS5yVv5KiMvq9JTyT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GnyH3T1Hw5JRaBkYHz1DVJ","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"69989,70010p\" ~/.pm2/logs/lou-ka-sync-out.log; echo \"...\"; sed -n \"69464,69480p\" ~/.pm2/logs/lou-ka-sync-out.log'","description":"See results for stale sources in recent 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savouet ...\n[lou-ka] {'source': 'savouet', 'found': 15, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.3}\n[lou-ka] sync sdg ...\n[lou-ka] {'source': 'sdg', 'found': 9, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.9}\n[lou-ka] sync sentinelle ...\n[lou-ka] {'source': 'sentinelle', 'found': 9, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.7}\n[lou-ka] sync sgiq ...\n[lou-ka] {'source': 'sgiq', 'found': 147, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 5.4}\n[lou-ka] sync shdm ...\n[lou-ka] {'source': 'shdm', 'found': 1, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.4}\n[lou-ka] sync siagi ...\n[lou-ka] {'source': 'siagi', 'found': 6, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.6}\n[lou-ka] sync sibelanger ...\n[lou-ka] {'source': 'sibelanger', 'found': 12, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.2}\n[lou-ka] sync sig ...\n[lou-ka] {'source': 'sig', 'found': 4, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.9}\n[lou-ka] sync simard ...\n[lou-ka] {'source': 'simard', 'found': 5, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.7}\n...\n[lou-ka] kascores: {'immeubles_calcules': 193, 'sans_tuile_env': 12, 'scores_en_base': 25733, 'deciles_global': [17, 51, 62, 69, 74, 78, 82, 85, 88, 91, 98], 'version': '2026.08-v1', 'duree_s': 1.7}\n[lou-ka] prochaine synchronisation dans 3600s\n[lou-ka] sync aalto ...\n[lou-ka] {'source': 'aalto', 'found': 24, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.9}\n[lou-ka] sync acceslogis_gb ...\n[lou-ka] {'source': 'acceslogis_gb', 'found': 10, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync dynamic ...\n[lou-ka] {'source': 'dynamic', 'found': 44, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 16.7}\n[lou-ka] sync agence_sherbrooke ...\n[lou-ka] {'source': 'agence_sherbrooke', 'found': 13, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 3.4}\n[lou-ka] sync akelius ...\n[lou-ka] {'source': 'akelius', 'found': 231, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.0}\n[lou-ka] sync alexcellence ...\n[lou-ka] {'source': 'alexcellence', 'found': 6, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 4.6}\n[lou-ka] sync alias_appartements ...\n[lou-ka] {'source': 'alias_appartements', 'found': 1, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync alouer_sherbrooke ...","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9c34ae08-3f4d-4e5e-bb4a-1273a40ad168","timestamp":"2026-08-23T04:59:52.754Z","tool_use_result":{"stdout":"[lou-ka] sync roussin ...\n[lou-ka] {'source': 'roussin', 'found': 36, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 6.8}\n[lou-ka] sync royal_lepage ...\n[lou-ka] {'source': 'royal_lepage', 'found': 946, 'added': 0, 'updated': 2, 'removed': 5, 'seconds': 97.6}\n[lou-ka] sync savouet ...\n[lou-ka] {'source': 'savouet', 'found': 15, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.3}\n[lou-ka] sync sdg ...\n[lou-ka] {'source': 'sdg', 'found': 9, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.9}\n[lou-ka] sync sentinelle ...\n[lou-ka] {'source': 'sentinelle', 'found': 9, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.7}\n[lou-ka] sync sgiq ...\n[lou-ka] {'source': 'sgiq', 'found': 147, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 5.4}\n[lou-ka] sync shdm ...\n[lou-ka] {'source': 'shdm', 'found': 1, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.4}\n[lou-ka] sync siagi ...\n[lou-ka] {'source': 'siagi', 'found': 6, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.6}\n[lou-ka] sync sibelanger ...\n[lou-ka] {'source': 'sibelanger', 'found': 12, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.2}\n[lou-ka] sync sig ...\n[lou-ka] {'source': 'sig', 'found': 4, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.9}\n[lou-ka] sync simard ...\n[lou-ka] {'source': 'simard', 'found': 5, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.7}\n...\n[lou-ka] kascores: {'immeubles_calcules': 193, 'sans_tuile_env': 12, 'scores_en_base': 25733, 'deciles_global': [17, 51, 62, 69, 74, 78, 82, 85, 88, 91, 98], 'version': '2026.08-v1', 'duree_s': 1.7}\n[lou-ka] prochaine synchronisation dans 3600s\n[lou-ka] sync aalto ...\n[lou-ka] {'source': 'aalto', 'found': 24, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.9}\n[lou-ka] sync acceslogis_gb ...\n[lou-ka] {'source': 'acceslogis_gb', 'found': 10, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync dynamic ...\n[lou-ka] {'source': 'dynamic', 'found': 44, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 16.7}\n[lou-ka] sync agence_sherbrooke ...\n[lou-ka] {'source': 'agence_sherbrooke', 'found': 13, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 3.4}\n[lou-ka] sync akelius ...\n[lou-ka] {'source': 'akelius', 'found': 231, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 1.0}\n[lou-ka] sync alexcellence ...\n[lou-ka] {'source': 'alexcellence', 'found': 6, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 4.6}\n[lou-ka] sync alias_appartements ...\n[lou-ka] {'source': 'alias_appartements', 'found': 1, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync alouer_sherbrooke ...","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b23569bd-4a21-4f22-9f5d-308a7f159870","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4d42256d-a193-419c-8ab9-1bf94dceb65d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"1c3fe633-df28-44a0-a80d-2e2987fa0246","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"a884770f-f28d-440b-8934-0467816531ea","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"c6c6bebd-e832-484c-9b4f-4a50478b7df4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"db3351b6-2961-4c98-a7ab-a0dd5edf6451","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6CmoPVBgdyrGp5Lm4b","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":1732,"cache_read_input_tokens":134041,"cache_creation":{"ephemeral_5m_input_tokens":1732,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"57ec6be3-3470-4934-a642-c047d7c5ce26","request_id":"req_011CeK6Ck8S1BBzwxAiNoMTx"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6CmoPVBgdyrGp5Lm4b","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":1732,"cache_read_input_tokens":134041,"cache_creation":{"ephemeral_5m_input_tokens":1732,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"480cbb4b-1e9b-484d-be60-5243bb2e42cd","request_id":"req_011CeK6Ck8S1BBzwxAiNoMTx"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6CmoPVBgdyrGp5Lm4b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017ZZXA29uYPPLWveAgepM95","name":"Bash","input":{"command":"ssh M3U96b 'pm2 describe lou-ka-web | grep \"script args\"; for p in 8100 8105 8110 8111 8112; do c=$(curl -s -o /dev/null -w \"%{http_code}\" -m 3 http://127.0.0.1:$p/api/stats); echo \"port $p: $c\"; done' 2>/dev/null","description":"Find lou-ka port"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1732,"cache_read_input_tokens":134041,"cache_creation":{"ephemeral_5m_input_tokens":1732,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a217021b-bca2-4192-90b3-43d13959f3fd","request_id":"req_011CeK6Ck8S1BBzwxAiNoMTx"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017ZZXA29uYPPLWveAgepM95","type":"tool_result","content":"│ script args │ run.py serve 8095 │\nport 8100: 404\nport 8105: 000\nport 8110: 404\nport 8111: 000\nport 8112: 000","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"80c9a5ca-a002-402d-8315-f46853e65754","timestamp":"2026-08-23T05:00:05.143Z","tool_use_result":{"stdout":"│ script args │ run.py serve 8095 │\nport 8100: 404\nport 8105: 000\nport 8110: 404\nport 8111: 000\nport 8112: 000","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6CmoPVBgdyrGp5Lm4b","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DfFVAXCwoSCWw8jZLfwb32","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"120,260p\" /opt/api-ka/src/monitoring/connector_health.py'","description":"Read how connector_health fetches app sync logs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1732,"cache_read_input_tokens":134041,"cache_creation":{"ephemeral_5m_input_tokens":1732,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4fda4b64-e155-497b-8fe0-26ede0677386","request_id":"req_011CeK6Ck8S1BBzwxAiNoMTx"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DfFVAXCwoSCWw8jZLfwb32","type":"tool_result","content":" return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n\n\ndef assess_source(\n entries: list[SyncEntry],\n prev: SourceState,\n now: float,\n stale_after_seconds: float,\n) -> Assessment:\n \"\"\"Classe un connecteur : broken > stale > degraded > ok.\n\n Fonction pure (testable) : combine les entrées de la fenêtre courante\n avec l'état précédent (streak d'échecs, dernier succès, médiane glissante).\n \"\"\"\n entries = sorted(entries, key=lambda e: e.ts, reverse=True)\n\n # Streak d'échecs : seules les entrées jamais vues (postérieures au dernier\n # passage) alimentent le compteur, du plus ancien au plus récent.\n prev_checked_ts = prev.checked_at.timestamp() if prev.checked_at else None\n new_entries = [\n e for e in entries if prev_checked_ts is None or e.ts > prev_checked_ts\n ]\n consecutive_failures = prev.consecutive_failures\n for entry in reversed(new_entries):\n if not entry.ok or entry.found <= 0:\n consecutive_failures += 1\n else:\n consecutive_failures = 0\n\n # Dernier sync réussi (ok ET au moins un résultat).\n last_success = prev.last_success\n for entry in entries:\n if entry.ok and entry.found > 0:\n candidate = _utc(entry.ts)\n if last_success is None or candidate > last_success:\n last_success = candidate\n break\n\n # Médiane glissante du volume (entrées ok de la fenêtre + médiane passée).\n ok_founds = [float(e.found) for e in entries if e.ok]\n values = ok_founds + (\n [float(prev.median_found)] if prev.median_found is not None else []\n )\n median_found = statistics.median(values) if values else None\n\n found_last = entries[0].found if entries else prev.found_last\n\n last_message = next((e.message for e in entries if e.message), \"\")\n\n if consecutive_failures >= BROKEN_THRESHOLD:\n message = (\n f\"{consecutive_failures} synchros consécutives en échec ou à 0 résultat\"\n )\n if last_message and last_message != \"ok\":\n message += f\" (dernier message : {last_message})\"\n status = STATUS_BROKEN\n elif last_success is not None and (now - last_success.timestamp()) > stale_after_seconds:\n hours = (now - last_success.timestamp()) / 3600\n message = (\n f\"aucun sync réussi depuis {hours:.1f} h \"\n f\"(seuil : {stale_after_seconds / 3600:.0f} h)\"\n )\n status = STATUS_STALE\n elif last_success is None:\n status = STATUS_DEGRADED\n message = \"aucun sync réussi observé pour l'instant\"\n elif entries and not entries[0].ok:\n status = STATUS_DEGRADED\n message = (\n f\"dernier sync en échec ({consecutive_failures}/{BROKEN_THRESHOLD})\"\n )\n if last_message and last_message != \"ok\":\n message += f\" — {last_message}\"\n elif (\n found_last is not None\n and median_found\n and found_last < DEGRADED_RATIO * median_found\n ):\n status = STATUS_DEGRADED\n message = (\n f\"volume {found_last} < 50 % de la médiane ({median_found:.0f})\"\n )\n else:\n status = STATUS_OK\n message = \"ok\"\n\n return Assessment(\n status=status,\n last_success=last_success,\n found_last=found_last,\n median_found=median_found,\n consecutive_failures=consecutive_failures,\n message=message,\n entries=entries,\n )\n\n\ndef assess_unreachable(prev: SourceState, error: str) -> Assessment:\n \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n consecutive_failures = prev.consecutive_failures + 1\n status = (\n STATUS_BROKEN if consecutive_failures >= BROKEN_THRESHOLD else STATUS_DEGRADED\n )\n return Assessment(\n status=status,\n last_success=prev.last_success,\n found_last=prev.found_last,\n median_found=prev.median_found,\n consecutive_failures=consecutive_failures,\n message=f\"GET /api/stats injoignable ({error})\",\n )\n\n\ndef parse_sync_entries(payload: dict[str, Any]) -> dict[str, list[SyncEntry]]:\n \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n\n Comprend les deux formats observés dans l'écosystème :\n ``recent_syncs`` (lou-ka, immo-ka, auto-ka, food-ka, resto-ka, job-ka) et\n ``sync_log`` par magasin (fabri-ka, clé ``store_id`` + ``status``).\n \"\"\"\n raw = payload.get(\"recent_syncs\") or payload.get(\"sync_log\") or []\n by_source: dict[str, list[SyncEntry]] = {}\n for item in raw:\n if not isinstance(item, dict):\n continue\n source = item.get(\"source\") or item.get(\"store_id\")\n if not source:\n continue\n if \"ok\" in item:\n ok = bool(item.get(\"ok\"))\n else:\n ok = str(item.get(\"status\", \"ok\")).lower() == \"ok\"\n try:\n entry = SyncEntry(\n ts=float(item.get(\"ts\") or 0),\n found=int(item.get(\"found\") or 0),\n ok=ok,\n message=str(item.get(\"message\") or \"\"),\n )\n except (TypeError, ValueError):\n continue","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2ab15ae7-0d88-4bd2-8fec-61c2a2c08f81","timestamp":"2026-08-23T05:00:05.820Z","tool_use_result":{"stdout":" return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n\n\ndef assess_source(\n entries: list[SyncEntry],\n prev: SourceState,\n now: float,\n stale_after_seconds: float,\n) -> Assessment:\n \"\"\"Classe un connecteur : broken > stale > degraded > ok.\n\n Fonction pure (testable) : combine les entrées de la fenêtre courante\n avec l'état précédent (streak d'échecs, dernier succès, médiane glissante).\n \"\"\"\n entries = sorted(entries, key=lambda e: e.ts, reverse=True)\n\n # Streak d'échecs : seules les entrées jamais vues (postérieures au dernier\n # passage) alimentent le compteur, du plus ancien au plus récent.\n prev_checked_ts = prev.checked_at.timestamp() if prev.checked_at else None\n new_entries = [\n e for e in entries if prev_checked_ts is None or e.ts > prev_checked_ts\n ]\n consecutive_failures = prev.consecutive_failures\n for entry in reversed(new_entries):\n if not entry.ok or entry.found <= 0:\n consecutive_failures += 1\n else:\n consecutive_failures = 0\n\n # Dernier sync réussi (ok ET au moins un résultat).\n last_success = prev.last_success\n for entry in entries:\n if entry.ok and entry.found > 0:\n candidate = _utc(entry.ts)\n if last_success is None or candidate > last_success:\n last_success = candidate\n break\n\n # Médiane glissante du volume (entrées ok de la fenêtre + médiane passée).\n ok_founds = [float(e.found) for e in entries if e.ok]\n values = ok_founds + (\n [float(prev.median_found)] if prev.median_found is not None else []\n )\n median_found = statistics.median(values) if values else None\n\n found_last = entries[0].found if entries else prev.found_last\n\n last_message = next((e.message for e in entries if e.message), \"\")\n\n if consecutive_failures >= BROKEN_THRESHOLD:\n message = (\n f\"{consecutive_failures} synchros consécutives en échec ou à 0 résultat\"\n )\n if last_message and last_message != \"ok\":\n message += f\" (dernier message : {last_message})\"\n status = STATUS_BROKEN\n elif last_success is not None and (now - last_success.timestamp()) > stale_after_seconds:\n hours = (now - last_success.timestamp()) / 3600\n message = (\n f\"aucun sync réussi depuis {hours:.1f} h \"\n f\"(seuil : {stale_after_seconds / 3600:.0f} h)\"\n )\n status = STATUS_STALE\n elif last_success is None:\n status = STATUS_DEGRADED\n message = \"aucun sync réussi observé pour l'instant\"\n elif entries and not entries[0].ok:\n status = STATUS_DEGRADED\n message = (\n f\"dernier sync en échec ({consecutive_failures}/{BROKEN_THRESHOLD})\"\n )\n if last_message and last_message != \"ok\":\n message += f\" — {last_message}\"\n elif (\n found_last is not None\n and median_found\n and found_last < DEGRADED_RATIO * median_found\n ):\n status = STATUS_DEGRADED\n message = (\n f\"volume {found_last} < 50 % de la médiane ({median_found:.0f})\"\n )\n else:\n status = STATUS_OK\n message = \"ok\"\n\n return Assessment(\n status=status,\n last_success=last_success,\n found_last=found_last,\n median_found=median_found,\n consecutive_failures=consecutive_failures,\n message=message,\n entries=entries,\n )\n\n\ndef assess_unreachable(prev: SourceState, error: str) -> Assessment:\n \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n consecutive_failures = prev.consecutive_failures + 1\n status = (\n STATUS_BROKEN if consecutive_failures >= BROKEN_THRESHOLD else STATUS_DEGRADED\n )\n return Assessment(\n status=status,\n last_success=prev.last_success,\n found_last=prev.found_last,\n median_found=prev.median_found,\n consecutive_failures=consecutive_failures,\n message=f\"GET /api/stats injoignable ({error})\",\n )\n\n\ndef parse_sync_entries(payload: dict[str, Any]) -> dict[str, list[SyncEntry]]:\n \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n\n Comprend les deux formats observés dans l'écosystème :\n ``recent_syncs`` (lou-ka, immo-ka, auto-ka, food-ka, resto-ka, job-ka) et\n ``sync_log`` par magasin (fabri-ka, clé ``store_id`` + ``status``).\n \"\"\"\n raw = payload.get(\"recent_syncs\") or payload.get(\"sync_log\") or []\n by_source: dict[str, list[SyncEntry]] = {}\n for item in raw:\n if not isinstance(item, dict):\n continue\n source = item.get(\"source\") or item.get(\"store_id\")\n if not source:\n continue\n if \"ok\" in item:\n ok = bool(item.get(\"ok\"))\n else:\n ok = str(item.get(\"status\", \"ok\")).lower() == \"ok\"\n try:\n entry = SyncEntry(\n ts=float(item.get(\"ts\") or 0),\n found=int(item.get(\"found\") or 0),\n ok=ok,\n message=str(item.get(\"message\") or \"\"),\n )\n except (TypeError, ValueError):\n continue","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d7b3a026-8c54-452d-8f57-4459ff6720b9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"86cf929e-109f-4e31-a6f0-2fbc91ec6724","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"32923009-4bcb-4ea8-9c82-a082da1216fb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6Dkdy1uH36bTYmmfbi","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":2939,"cache_read_input_tokens":135773,"cache_creation":{"ephemeral_5m_input_tokens":2939,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"10ebb475-8c8e-4d5e-a17e-fc59f405fb58","request_id":"req_011CeK6Di1DP4pnkH77AGkrP"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6Dkdy1uH36bTYmmfbi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Rmfowt4UPyTVULceUhJDXu","name":"Bash","input":{"command":"ssh M3U96b \"curl -s http://127.0.0.1:8095/api/stats | python3 -c \\\"\nimport json,sys\nd=json.load(sys.stdin)\nrs=d.get('recent_syncs') or d.get('data',{}).get('recent_syncs') or []\nprint('entrées recent_syncs:', len(rs))\nprint('sources distinctes:', len({e.get('source') for e in rs}))\nimport datetime\nif rs: print('plus vieille:', datetime.datetime.fromtimestamp(min(e['ts'] for e in rs)), '— plus récente:', datetime.datetime.fromtimestamp(max(e['ts'] for e in rs)))\n\\\"\"","description":"Check lou-ka recent_syncs window size"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2939,"cache_read_input_tokens":135773,"cache_creation":{"ephemeral_5m_input_tokens":2939,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"52520144-da4b-4057-bdf8-ae8aeb933174","request_id":"req_011CeK6Di1DP4pnkH77AGkrP"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Rmfowt4UPyTVULceUhJDXu","type":"tool_result","content":"entrées recent_syncs: 20\nsources distinctes: 20\nplus vieille: 2026-08-23 00:48:28.156713 — plus récente: 2026-08-23 00:59:54.838507","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8250140c-0538-4fad-9a06-733f877a6dad","timestamp":"2026-08-23T05:00:12.677Z","tool_use_result":{"stdout":"entrées recent_syncs: 20\nsources distinctes: 20\nplus vieille: 2026-08-23 00:48:28.156713 — plus récente: 2026-08-23 00:59:54.838507","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0b5616ce-1b53-4d06-9931-2db57d7dc7d3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"8aa3080e-293a-47a9-845a-8b7831ca0c47","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"04b29ac9-d9ab-46ff-a35e-9954b8899db6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"b16288a7-2a83-4bef-b205-6fdd4999a46c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"0b0aa6fe-3624-4496-8713-7aae787aeb3e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":100,"uuid":"e3aaa94f-f35c-44c4-8bc5-2fa2f76a2851","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":500,"estimated_tokens_delta":50,"uuid":"968bff28-02bd-4a45-8200-5a7da920f2f2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6EF4WHD3oK2uPQhyzA","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS5gsKpwEIERgCKkDJq7pOGfbgu1QLfbSz259/0MXxBHCjkUP6dU5aJz0BIj77NkTYQYRNax2IMxacKpoR9EToOfUg9wiKujfxUHbWMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHo/KnUBrABAhIMooHR1Cug70SD4EupGgzFDxJK9/gKX7to0gMiMFhN4owTKjiM+lGtkQNLYYc8etQ1Edrso382nvpws3k4CP15G3lSh3gAnRf20RoE5irrCYBtl5KPMNX0vWF8IowsazVPSGvHQr/0sOG71LquxC2DPhvPsUXFZ2fgHSgU4xG44sHK7HU4qFuYTvzmporkySv+kRPJnjrCs1N5GXPL3A6lTCU/SP9IkoZP7Sr0moucl/nrCkXiGKi0aFQl3C6U+HjC4tLXtrte4+EavuAG5pJAWlJMJwnLqZDpgnoyF3LyGH+17dQzeAMWqrFowOowBP3hFS27BCNIS4+VsdMkf/GPkjDJQj1eTufJQB+I4Tow9fEfvFk73sOSNX313i8imbm6DuiP/P1o4SSY1BOcj4Vi2d5iV42jVhYgB86bA9at7R3qsAa3XdWn/GCyBvb7qmEYJMcEHhr8J+DmZdeWLCm44VJHSaqdoCifooD4HlmLigWBs2GMu1h1jc0CoBJm3XqVahQauv5aPXgznl5QiVMo+9EnAcPutXArvGDVoPjwD9U9XRPCt0jDiRT0LnL1aWOU6or6LNDQYdY+PoHcc8bkydc2s8l0lQL0L8PJlZl0oewDAEjmJJTQTAC31CjZy9PHpw0SgR4GUmGPTe2pPwQL4d1maBmtAiQwwjO96flL1NYsJ752jd0z2MWc+lUqtFkLUQv0EpUOixoDufIk5AQuhmIzsh5C9YoR9zHtvY5k1CoN4tCLvo1bMiPfR7g/gVqCokq2iT+myNClCmUrTw3bbBClf8TfAiHDSNKz7ER905QyiRs4qa8baF4B8zW7s9t4nZ2dDeAjWhjb0OiRoSm+bP7XD0XziKcZgg7RVOtFBW2rIvHWnkDqd5Hv5Gw/XiE9ICGjbjGhGfRFNe96U48gKhIC50/OXT5iJ8pV9iCllU8k54T325PLiiCt2hxbKd/FhfzH+U22FKVbmOC+UgrxxY4lGQLzbZ089ZlBU8xOrz1QZT0LKRY1UZBN+7nkbci+L0Krcsb409DpCLgQZexO9/4yadmDisYDHfre8f5oGxdWx4jVsWuggC/NWi1xgkpIFCRJbok6NcJyUraG7HXp+FguvVcxB1lu+Qm7IXJ8/qAoGgiCZ0f/cz5dMt5xyUdxJHJUiIukb7qm+DRkDKapsOISRaydZuIjB9iGGBAxnsXZYze5DMOvbhtzWSPRP306ekJAk0MVJmgoAouczY5dUvVb7/JBp/22o1EWtIh3dfn/9TeAyyKPIuOg5810eQfP9UeNZLggzUsCZbc0HZc2T5FaIU793wikm0bCB97/B0Cn0TUbg0VZqD8hlHK72n321IrZiw8ZHcQo9oixVEQG/m2Ri+6fBLeGSZiljGKPSfsDP/h0OtUeBsz0u5ohMgy4fGy+SS9dC/liJEHv9sBmG2Kb8hwu0PXMRNH0t17bc6yuC/ZDKX0sCltic/CcM/90lVh3NjnE6DPr4+8R39uDkJYuwEiQCzZg/VZLJUe0s9yWKANbLt4O7jwb/+z3wWWZHF/APGanE1sYHEeCSD2NSGICnnvVInx363SlcKeKH8VBlpZImqzQgY8TAk4+fZrMvYk8Lc47ZoSaFLE9YfR/Ze1uy2I9o8fnMq2CUQffHu+YhyR5dAOVoQaFjG6bwnazfAUl3ISnERCCCuUzaZwqjEqnE22fAEC5PZkjQuWkTr7Npqg8deKSiAXyafZhSwRk08IRt597rE7Nb7Kt6+jCHe4I3MHrJOQayeBmnGrnzn+ex3z9hJWYRQBKGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":438,"cache_read_input_tokens":138712,"cache_creation":{"ephemeral_5m_input_tokens":438,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"63483011-a703-463c-b53b-a4fbe94edd06","request_id":"req_011CeK6EDPo37jCVaMwPN6P2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6EF4WHD3oK2uPQhyzA","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":438,"cache_read_input_tokens":138712,"cache_creation":{"ephemeral_5m_input_tokens":438,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"372ea716-36bf-429d-860c-70aba15ac7d3","request_id":"req_011CeK6EDPo37jCVaMwPN6P2"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6EF4WHD3oK2uPQhyzA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SXiDcrHuxJBaQN8MJg3UYj","name":"Bash","input":{"command":"ssh M3U96b 'grep -rn \"recent_syncs\" ~/apps/lou-ka --include=\"*.py\" | grep -v test | head -5'","description":"Find recent_syncs construction in lou-ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":438,"cache_read_input_tokens":138712,"cache_creation":{"ephemeral_5m_input_tokens":438,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"38f018b8-2039-46df-8bfe-fe54ad963b0a","request_id":"req_011CeK6EDPo37jCVaMwPN6P2"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SXiDcrHuxJBaQN8MJg3UYj","type":"tool_result","content":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:689: return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/web.py:201: return {**dict(row), \"recent_syncs\": log}","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f85966d3-993b-407d-8dbe-3fd342feceab","timestamp":"2026-08-23T05:00:27.287Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py:689: return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n/Users/simon-pierreboucher/apps/lou-ka/louka/shortterm/web.py:201: return {**dict(row), \"recent_syncs\": log}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b94a30ef-27a6-43ef-a293-b6ac91202062","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6FKZQS7ZLuQFNj4CU3","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NBkR9ocBqdSHRoSN7i9Xox","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"660,695p\" ~/apps/lou-ka/louka/web.py'","description":"Read lou-ka stats endpoint sync log query"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":880,"cache_read_input_tokens":139150,"cache_creation":{"ephemeral_5m_input_tokens":880,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1f5bfb66-b8df-44d2-8744-5d6e12e91725","request_id":"req_011CeK6FJ1dwHcF6J49mv5jg"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NBkR9ocBqdSHRoSN7i9Xox","type":"tool_result","content":" \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c76bb239-92ea-4ef1-9ced-4a9f18239558","timestamp":"2026-08-23T05:00:32.848Z","tool_use_result":{"stdout":" \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} 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(8469)\n alasko.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n annerenedecotret.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n aquaventurecharlevoix.ca | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n barlaitierchouinard.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n boisdestcyr.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n boucanneriebelleriviere.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cabanedupicbois.com | 0 | | 1 | aucun sync réussi observé pour l'instant\n cabanonconcept.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cidreriecryo.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cidrerielestravauxetlesjours.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cloridorme.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n(12 lignes)\n\n service | source | status | substr \n---------+---------------+----------+------------------------------------------\n 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l'instant\n annerenedecotret.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n aquaventurecharlevoix.ca | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n barlaitierchouinard.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n boisdestcyr.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n boucanneriebelleriviere.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cabanedupicbois.com | 0 | | 1 | aucun sync réussi observé pour l'instant\n cabanonconcept.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cidreriecryo.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cidrerielestravauxetlesjours.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n cloridorme.com | 0 | 0 | 1 | aucun sync réussi observé pour l'instant\n(12 lignes)\n\n service | source | status | substr \n---------+---------------+----------+------------------------------------------\n restoka | osm | degraded | volume 0 < 50 % de la médiane (8632)\n 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6Ke8TqLME1mqrxkMRw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KRZS6kKaSgFqjzwQJPNcAh","name":"Bash","input":{"command":"ssh M3U96b 'grep -E \"tri_logis|place_florimay|courtemanche\" ~/.pm2/logs/lou-ka-sync-out.log | tail -8; echo \"---ERREURS---\"; grep -E \"tri_logis|place_florimay|courtemanche\" ~/.pm2/logs/lou-ka-sync-error.log | tail -6; echo \"---FICHIERS---\"; ls ~/apps/lou-ka/louka/sources/ | grep -E \"tri_logis|florimay|courtemanche\"'","description":"Check lou-ka broken sources 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{'source': 'place_florimay', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.8}\n[lou-ka] sync tri_logis ...\n[lou-ka] {'source': 'tri_logis', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.3}\n---ERREURS---\n---FICHIERS---\nls: /Users/simon-pierreboucher/apps/lou-ka/louka/sources/: No such file or directory","is_error":true,"tool_use_id":"toolu_01KRZS6kKaSgFqjzwQJPNcAh"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a2715575-80bf-4a71-a89b-ff619923486a","timestamp":"2026-08-23T05:01:41.168Z","tool_use_result":"Error: Exit code 1\n[lou-ka] sync courtemanche ...\n[lou-ka] {'source': 'courtemanche', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync courtemanche ...\n[lou-ka] {'source': 'courtemanche', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.1}\n[lou-ka] sync place_florimay ...\n[lou-ka] {'source': 'place_florimay', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.8}\n[lou-ka] sync tri_logis ...\n[lou-ka] {'source': 'tri_logis', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.3}\n---ERREURS---\n---FICHIERS---\nls: /Users/simon-pierreboucher/apps/lou-ka/louka/sources/: No such file or directory"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7d78b46b-dacb-4f66-8445-90ee42589217","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6LmPZMJeTVW8ZaAEzE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WR8QUxxM6ssDrT38bAcvE7","name":"Bash","input":{"command":"ssh M3U96b 'ls ~/apps/lou-ka/louka/ | head -30; grep -rln \"tri_logis\\|courtemanche\" ~/apps/lou-ka/louka --include=\"*.py\" | head -5'","description":"Locate lou-ka source connector 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WR8QUxxM6ssDrT38bAcvE7","type":"tool_result","content":"__init__.py\n__pycache__\naccounts.py\nauth.py\nconnectors\ndb.py\ndedup.py\nenvironment.py\nfairvalue.py\nfixtures.py\ngeocode.py\nhubfav.py\nhubprofile.py\nimgcheck.py\ningest.py\nkapdf.py\nkascores.py\nmarketstats.py\nnormalize.py\npdfgen.py\npoi.py\nprofile.py\nquality.py\nquartier.py\nschema.py\nseo.py\nshortterm\nstatsdash.py\ntextmine.py\nweb.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/courtemanche.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/tri_logis.py","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"656d63e6-ae86-4032-b13e-02a760700651","timestamp":"2026-08-23T05:01:44.836Z","tool_use_result":{"stdout":"__init__.py\n__pycache__\naccounts.py\nauth.py\nconnectors\ndb.py\ndedup.py\nenvironment.py\nfairvalue.py\nfixtures.py\ngeocode.py\nhubfav.py\nhubprofile.py\nimgcheck.py\ningest.py\nkapdf.py\nkascores.py\nmarketstats.py\nnormalize.py\npdfgen.py\npoi.py\nprofile.py\nquality.py\nquartier.py\nschema.py\nseo.py\nshortterm\nstatsdash.py\ntextmine.py\nweb.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/courtemanche.py\n/Users/simon-pierreboucher/apps/lou-ka/louka/connectors/tri_logis.py","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"13a39b0c-6d0f-46b2-b6e1-e09892108a34","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6M377Cgw2wxLvxjf2t","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019UdZ973qHK9onHLRnxEWr3","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -c \"\nfrom louka.connectors import tri_logis, courtemanche\nimport inspect\nprint(inspect.getsource(tri_logis)[:2500])\n\"'","description":"Read tri_logis connector 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(tri-logis.ca — Rouyn-Noranda, 600+ logements, référence n°1 en\n# Abitibi-Témiscamingue). Site custom statique, tout rendu serveur.\n# Liste /espaces-a-louer/logements : un bloc par immeuble (adresse, secteur,\n# proximité) ; seules les unités disponibles y ont une rangée (type, texte de\n# disponibilité, prix). Fiche unité /espaces-a-louer/immeuble//\n# (via cache BD) : adresse complète avec code postal, description (bloc\n# « Apartment Features » : étage, inclusions, animaux…), galerie pleine\n# taille, inclusions. Périmètre : logements résidentiels seulement — les\n# pages /studios (meublés loués à la nuitée : « les prix des locations de\n# moins de 31 nuitées… ») et /chalets (court terme) sont exclues.\n# Pas de robots.txt (= tout permis).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport hashlib\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type, parse_price, strip_accents\nfrom .base import BaseConnector\n\nBASE = \"https://tri-logis.ca\"\nLIST_URL = f\"{BASE}/espaces-a-louer/logements\"\n\n# vignette redimensionnée « /_t282x186/ » ou « /_t600x407/ » -> pleine taille\n_THUMB_RE = re.compile(r\"/_t\\d+x\\d+/\")\n\n\ndef _pets_value(raw: str) -> str | None:\n \"\"\"Ligne « Pets allowed: … » de la fiche -> oui/non/conditions.\"\"\"\n k = strip_accents((raw or \"\").strip().lower())\n if not k:\n return None\n if re.search(r\"\\bno\\b|not allowed|aucun|non\\b\", k):\n return \"non\"\n if re.search(r\"cats and dogs|chats et chiens|\\byes\\b|allowed\", k):\n return \"oui\"\n if re.search(r\"cat|chat|dog|chien|small|petit\", k):\n return \"conditions\"\n return None\n\n\nclass TriLogisConnector(BaseConnector):\n source_id = \"tri_logis\"\n request_delay = 0.6\n max_details = 40 # garde-fou fiches unité (vraies requêtes par sync)\n\n def fetch(self) -> list[Listing]:\n html = self.get(LIST_URL).text\n soup = BeautifulSoup(html, \"html.parser\")\n\n self._fetched = 0\n listings: dict[str, Listing] = {}\n for bloc in soup.select(\".search-results .result.immeuble\"):\n try:\n self._parse_building(bloc, li","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"727c7504-753b-48bb-bd36-aa221159d66e","timestamp":"2026-08-23T05:01:49.564Z","tool_use_result":{"stdout":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/tri_logis.py : connecteur Société immobilière Tri-Logis inc.\n# (tri-logis.ca — Rouyn-Noranda, 600+ logements, référence n°1 en\n# Abitibi-Témiscamingue). Site custom statique, tout rendu serveur.\n# Liste /espaces-a-louer/logements : un bloc par immeuble (adresse, secteur,\n# proximité) ; seules les unités disponibles y ont une rangée (type, texte de\n# disponibilité, prix). Fiche unité /espaces-a-louer/immeuble//\n# (via cache BD) : adresse complète avec code postal, description (bloc\n# « Apartment Features » : étage, inclusions, animaux…), galerie pleine\n# taille, inclusions. Périmètre : logements résidentiels seulement — les\n# pages /studios (meublés loués à la nuitée : « les prix des locations de\n# moins de 31 nuitées… ») et /chalets (court terme) sont exclues.\n# Pas de robots.txt (= tout permis).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport hashlib\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type, parse_price, strip_accents\nfrom .base import BaseConnector\n\nBASE = \"https://tri-logis.ca\"\nLIST_URL = f\"{BASE}/espaces-a-louer/logements\"\n\n# vignette redimensionnée « /_t282x186/ » ou « /_t600x407/ » -> pleine taille\n_THUMB_RE = re.compile(r\"/_t\\d+x\\d+/\")\n\n\ndef _pets_value(raw: str) -> str | None:\n \"\"\"Ligne « Pets allowed: … » de la fiche -> oui/non/conditions.\"\"\"\n k = strip_accents((raw or \"\").strip().lower())\n if not k:\n return None\n if re.search(r\"\\bno\\b|not allowed|aucun|non\\b\", k):\n return \"non\"\n if re.search(r\"cats and dogs|chats et chiens|\\byes\\b|allowed\", k):\n return \"oui\"\n if re.search(r\"cat|chat|dog|chien|small|petit\", k):\n return \"conditions\"\n return None\n\n\nclass TriLogisConnector(BaseConnector):\n source_id = \"tri_logis\"\n request_delay = 0.6\n max_details = 40 # garde-fou fiches unité (vraies requêtes par sync)\n\n def fetch(self) -> list[Listing]:\n html = self.get(LIST_URL).text\n soup = BeautifulSoup(html, \"html.parser\")\n\n self._fetched = 0\n listings: dict[str, Listing] = {}\n for bloc in soup.select(\".search-results .result.immeuble\"):\n try:\n self._parse_building(bloc, li","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0684abaa-0a61-457b-8678-cf907ce1c36c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6MP6e1MttTguDhhKdi","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01He824G7kXxbCSEHyzGJ4Wp","name":"Bash","input":{"command":"ssh M3U96b 'curl -s -o /dev/null -w \"tri-logis.ca liste: %{http_code} (taille %{size_download})\\n\" -m 20 -A \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36\" https://tri-logis.ca/espaces-a-louer/logements; curl -s -m 20 -A \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36\" https://tri-logis.ca/espaces-a-louer/logements | grep -c \"result immeuble\\|immeuble\" '","description":"Test tri-logis.ca list page live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1229,"cache_read_input_tokens":147208,"cache_creation":{"ephemeral_5m_input_tokens":1229,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"01558d37-9c59-4881-81d2-d6157466ef1e","request_id":"req_011CeK6MMa7Uw6sq9dLxJkuG"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\ntri-logis.ca liste: 301 (taille 15)\n0","is_error":true,"tool_use_id":"toolu_01He824G7kXxbCSEHyzGJ4Wp"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a247053c-c04b-4aed-928a-9c966682a292","timestamp":"2026-08-23T05:01:54.593Z","tool_use_result":"Error: Exit code 1\ntri-logis.ca liste: 301 (taille 15)\n0"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"758a63c1-80b1-4996-abf6-9a31a1603649","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6MkdSYRSRCpHZAWfPu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EhZmYrjrngmD9sz5nbbXeM","name":"Bash","input":{"command":"ssh M3U96b 'curl -s -o /dev/null -w \"%{http_code} -> %{redirect_url}\\n\" -m 20 https://tri-logis.ca/espaces-a-louer/logements; curl -sL -m 30 -A \"Mozilla/5.0\" https://tri-logis.ca/espaces-a-louer/logements -o /tmp/trilogis.html -w \"final: %{http_code} taille %{size_download} url %{url_effective}\\n\"; grep -o \"[^<]*\" /tmp/trilogis.html | head -2; grep -c \"immeuble\" /tmp/trilogis.html'","description":"Follow tri-logis redirect and inspect page"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":346,"cache_read_input_tokens":148437,"cache_creation":{"ephemeral_5m_input_tokens":346,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c536fe4e-7476-41a9-b69f-62da485d3a0d","request_id":"req_011CeK6Mj7fCiqNyp6BYtzPA"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EhZmYrjrngmD9sz5nbbXeM","type":"tool_result","content":"301 -> https://trilogis.ca/a-louer\nfinal: 200 taille 611250 url https://trilogis.ca/a-louer\n<title>Logements à louer à Rouyn-Noranda — Tri-Logis\n1","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c65e0280-f9c4-4f11-9209-06b01abd9e65","timestamp":"2026-08-23T05:01:59.691Z","tool_use_result":{"stdout":"301 -> https://trilogis.ca/a-louer\nfinal: 200 taille 611250 url https://trilogis.ca/a-louer\n<title>Logements à louer à Rouyn-Noranda — Tri-Logis\n1","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"cb62ee54-e091-484d-9dc7-b1f4c336ffc7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"32b66a83-bb64-42d1-9dd0-10399f7418eb","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"883daefe-7b9c-443b-b36e-e66eb84948c6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":166,"estimated_tokens_delta":16,"uuid":"b7d27ace-5fb1-45a1-8db4-9d2d3af51119","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6NAHVA7XvVhMUiFTp9","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":375,"cache_read_input_tokens":148783,"cache_creation":{"ephemeral_5m_input_tokens":375,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d1572403-007d-4240-92aa-83f5db8db5ac","request_id":"req_011CeK6N6wpikiN7yfzgEmcQ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6NAHVA7XvVhMUiFTp9","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":375,"cache_read_input_tokens":148783,"cache_creation":{"ephemeral_5m_input_tokens":375,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"da44a5cf-04cf-4104-97e8-c8e121e56ef4","request_id":"req_011CeK6N6wpikiN7yfzgEmcQ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6NAHVA7XvVhMUiFTp9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Fsk3VgvHN55oHLpudXYamt","name":"Bash","input":{"command":"ssh M3U96b 'grep -o \"__NEXT_DATA__\\|__NUXT__\\|wp-content\\|application/json\\|data-page\" /tmp/trilogis.html | sort | uniq -c; echo \"---\"; grep -oE \"class=\\\"[^\\\"]*(card|listing|unit|logement|result)[^\\\"]*\\\"\" /tmp/trilogis.html | sort | uniq -c | head -15'","description":"Identify new trilogis.ca site framework"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":375,"cache_read_input_tokens":148783,"cache_creation":{"ephemeral_5m_input_tokens":375,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"79b85171-a404-4bfc-adbd-701a43995238","request_id":"req_011CeK6N6wpikiN7yfzgEmcQ"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Fsk3VgvHN55oHLpudXYamt","type":"tool_result","content":"---","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3aacbf1a-567c-415c-b4e8-05ddf7fe0bca","timestamp":"2026-08-23T05:02:07.788Z","tool_use_result":{"stdout":"---","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"34a1dae7-782b-4677-8cd7-96a9c78651e1","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6NjrLtVcxFZJhXAKdL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KDfuehEAdpk8qcvQdJerAZ","name":"Bash","input":{"command":"ssh M3U96b 'head -c 1500 /tmp/trilogis.html; echo; echo \"=== recherche prix ===\"; grep -oE \"[0-9]{3,4} ?\\\\$[^<]{0,40}\" /tmp/trilogis.html | head -5'","description":"Inspect trilogis.html head and price patterns"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":478,"cache_read_input_tokens":149158,"cache_creation":{"ephemeral_5m_input_tokens":478,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"25ffaa15-56f2-4fca-9b44-5fcd4e827240","request_id":"req_011CeK6NhVTfq94wbfS1KQtp"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KDfuehEAdpk8qcvQdJerAZ","type":"tool_result","content":"<!DOCTYPE html><html data-dpl-id=\"dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr\" lang=\"fr\"><head><meta charSet=\"utf-8\"/><link rel=\"preconnect\" href=\"https://tcrymlwdnwmfmpnkrfeu.supabase.co\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1, interactive-widget=resizes-content\"/><link rel=\"preload\" href=\"/_next/static/media/GeistVF-s.p.04dvp7dj03si8.woff?dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr\" as=\"font\" crossorigin=\"\" type=\"font/woff\"/><link rel=\"preload\" as=\"image\" imageSrcSet=\"/_next/image?url=%2FTRILOGIS%20LOGO%20v2.png&w=256&q=75&dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr 1x, /_next/image?url=%2FTRILOGIS%20LOGO%20v2.png&w=384&q=75&dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr 2x\"/><link rel=\"preload\" href=\"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-media/c0723fb9-2fc8-4813-9c33-8559f09b3fad/10317d7f-a7eb-474c-94d5-8967faaefea2/9b7d6962-7510-4d37-ac4e-93a87b0375c7_medium.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV9kNGI1NTNhYy1hMjY4LTQzMDEtODkwNC0yZTA2ZWVjMmQ2MzEiLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJwcm9wZXJ0eS1tZWRpYS9jMDcyM2ZiOS0yZmM4LTQ4MTMtOWMzMy04NTU5ZjA5YjNmYWQvMTAzMTdkN2YtYTdlYi00NzRjLTk0ZDUtODk2N2ZhYWVmZWEyLzliN2Q2OTYyLTc1MTAtNGQzNy1hYzRlLTkzYTg3YjAzNzVjN19tZWRpdW0ud2VicCIsInNjb3BlIjoiZG93bmxvYWQiLCJpYXQiOjE3ODc0NjEzMTAsImV4cCI6MTc4ODA2NjExMH0.Jc3NFZS4DxJCEwadEjnQoc4e2CeiSQJ6QG24KtA9eOQ\" as=\"image\" fetchPriority=\"high\"/><link rel=\"preload\" href=\"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-med\n=== recherche prix ===\nzsh:1: bad math expression: operand expected at `^<'","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f88bfedc-5a11-4a31-839e-2e17e29cee2c","timestamp":"2026-08-23T05:02:13.363Z","tool_use_result":{"stdout":"<!DOCTYPE html><html data-dpl-id=\"dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr\" lang=\"fr\"><head><meta charSet=\"utf-8\"/><link rel=\"preconnect\" href=\"https://tcrymlwdnwmfmpnkrfeu.supabase.co\"/><meta name=\"viewport\" content=\"width=device-width, initial-scale=1, interactive-widget=resizes-content\"/><link rel=\"preload\" href=\"/_next/static/media/GeistVF-s.p.04dvp7dj03si8.woff?dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr\" as=\"font\" crossorigin=\"\" type=\"font/woff\"/><link rel=\"preload\" as=\"image\" imageSrcSet=\"/_next/image?url=%2FTRILOGIS%20LOGO%20v2.png&w=256&q=75&dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr 1x, /_next/image?url=%2FTRILOGIS%20LOGO%20v2.png&w=384&q=75&dpl=dpl_Aj4QoyaggjHu2HPTbCwcN3a8CEsr 2x\"/><link rel=\"preload\" 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6PyyBLBgJxzYtqNpg4","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":309,"cache_creation_input_tokens":2045,"cache_read_input_tokens":150927,"cache_creation":{"ephemeral_5m_input_tokens":2045,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4cd2299a-3c9b-48ce-857e-e52148ac68e2","request_id":"req_011CeK6PwBFTGzXWuEws8CED"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6PyyBLBgJxzYtqNpg4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018LhJY6cHRJGoMuEoEhGwA4","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"260,340p\" /opt/api-ka/src/monitoring/connector_health.py'","description":"Read connector_health fetch/URL code"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":309,"cache_creation_input_tokens":2045,"cache_read_input_tokens":150927,"cache_creation":{"ephemeral_5m_input_tokens":2045,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"280e45c0-19a7-41a5-ada1-7c92d8815c3e","request_id":"req_011CeK6PwBFTGzXWuEws8CED"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018LhJY6cHRJGoMuEoEhGwA4","type":"tool_result","content":" continue\n by_source.setdefault(str(source), []).append(entry)\n return by_source\n\n\n_GLOBAL_TOTAL_KEYS = (\"total_active\", \"total\", \"creators\", \"restaurants\")\n\n\ndef build_app_entry(\n service: str,\n payload: dict[str, Any],\n by_source: dict[str, list[SyncEntry]],\n now: float,\n) -> SyncEntry:\n \"\"\"Synthétise UNE entrée représentant l'état global de l'app.\n\n - apps avec journal de sync : agrégat de la fenêtre (ts le plus récent,\n somme des volumes ok) ;\n - crea-ka : ``last_sync`` global + total ``creators`` ;\n - sorti-ka (aucun horodatage exposé) : joignabilité + volume total.\n \"\"\"\n all_entries = [e for lst in by_source.values() for e in lst]\n if all_entries:\n return SyncEntry(\n ts=max(e.ts for e in all_entries),\n found=sum(e.found for e in all_entries if e.ok),\n ok=any(e.ok for e in all_entries),\n )\n\n last_sync = payload.get(\"last_sync\")\n if isinstance(last_sync, str) and last_sync:\n try:\n ts = datetime.datetime.fromisoformat(\n last_sync.replace(\"Z\", \"+00:00\")\n ).timestamp()\n except ValueError:\n ts = now\n total = _global_total(payload)\n return SyncEntry(ts=ts, found=total, ok=True, message=\"last_sync global\")\n\n # Fallback (ex. sorti-ka) : l'app ne publie aucun horodatage de sync.\n return SyncEntry(\n ts=now,\n found=_global_total(payload),\n ok=True,\n message=\"pas d'horodatage de sync exposé — joignabilité + volume total\",\n )\n\n\ndef _global_total(payload: dict[str, Any]) -> int:\n for key in _GLOBAL_TOTAL_KEYS:\n value = payload.get(key)\n if isinstance(value, (int, float)):\n return int(value)\n totals = payload.get(\"totals\")\n if isinstance(totals, dict):\n for value in totals.values():\n if isinstance(value, (int, float)):\n return int(value)\n return 0\n\n\ndef rotation_factor(\n payload: dict[str, Any], by_source: dict[str, list[SyncEntry]]\n) -> int:\n \"\"\"Facteur de rotation des sources : les apps synchronisent leurs sources\n par lots (fenêtre ~20 entrées pour parfois >100 sources). Une source\n individuelle repasse donc toutes les ``rotation × cadence`` heures environ ;\n le seuil de staleness par source en tient compte pour ne pas générer de\n fausses alertes de masse.\"\"\"\n window = sum(len(v) for v in by_source.values())\n hint = payload.get(\"sources\")\n if not isinstance(hint, (int, float)):\n totals = payload.get(\"totals\")\n hint = totals.get(\"stores_live\") if isinstance(totals, dict) else 0\n total = max(int(hint or 0), len(by_source))\n if window <= 0 or total <= 0:\n return 1\n return max(1, math.ceil(total / window))","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f9b19c7e-f072-4b1d-8a44-0d3150136bab","timestamp":"2026-08-23T05:02:57.437Z","tool_use_result":{"stdout":" continue\n by_source.setdefault(str(source), []).append(entry)\n return by_source\n\n\n_GLOBAL_TOTAL_KEYS = (\"total_active\", \"total\", \"creators\", \"restaurants\")\n\n\ndef build_app_entry(\n service: str,\n payload: dict[str, Any],\n by_source: dict[str, list[SyncEntry]],\n now: float,\n) -> SyncEntry:\n \"\"\"Synthétise UNE entrée représentant l'état global de l'app.\n\n - apps avec journal de sync : agrégat de la fenêtre (ts le plus récent,\n somme des volumes ok) ;\n - crea-ka : ``last_sync`` global + total ``creators`` ;\n - sorti-ka (aucun horodatage exposé) : joignabilité + volume total.\n \"\"\"\n all_entries = [e for lst in by_source.values() for e in lst]\n if all_entries:\n return SyncEntry(\n ts=max(e.ts for e in all_entries),\n found=sum(e.found for e in all_entries if e.ok),\n ok=any(e.ok for e in all_entries),\n )\n\n last_sync = payload.get(\"last_sync\")\n if isinstance(last_sync, str) and last_sync:\n try:\n ts = datetime.datetime.fromisoformat(\n last_sync.replace(\"Z\", \"+00:00\")\n ).timestamp()\n except ValueError:\n ts = now\n total = _global_total(payload)\n return SyncEntry(ts=ts, found=total, ok=True, message=\"last_sync global\")\n\n # Fallback (ex. sorti-ka) : l'app ne publie aucun horodatage de sync.\n return SyncEntry(\n ts=now,\n found=_global_total(payload),\n ok=True,\n message=\"pas d'horodatage de sync exposé — joignabilité + volume total\",\n )\n\n\ndef _global_total(payload: dict[str, Any]) -> int:\n for key in _GLOBAL_TOTAL_KEYS:\n value = payload.get(key)\n if isinstance(value, (int, float)):\n return int(value)\n totals = payload.get(\"totals\")\n if isinstance(totals, dict):\n for value in totals.values():\n if isinstance(value, (int, float)):\n return int(value)\n return 0\n\n\ndef rotation_factor(\n payload: dict[str, Any], by_source: dict[str, list[SyncEntry]]\n) -> int:\n \"\"\"Facteur de rotation des sources : les apps synchronisent leurs sources\n par lots (fenêtre ~20 entrées pour parfois >100 sources). Une source\n individuelle repasse donc toutes les ``rotation × cadence`` heures environ ;\n le seuil de staleness par source en tient compte pour ne pas générer de\n fausses alertes de masse.\"\"\"\n window = sum(len(v) for v in by_source.values())\n hint = payload.get(\"sources\")\n if not isinstance(hint, (int, float)):\n totals = payload.get(\"totals\")\n hint = totals.get(\"stores_live\") if isinstance(totals, dict) else 0\n total = max(int(hint or 0), len(by_source))\n if window <= 0 or total <= 0:\n return 1\n return max(1, math.ceil(total / window))","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5a5ea0f1-2a5d-4fd8-86a6-ec988b8b554e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6SQLhK2WDdFev7qzwh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MU5vQKEQpCwXtu6SUqg2vi","name":"Bash","input":{"command":"ssh M3U96b 'sed -n \"340,430p\" /opt/api-ka/src/monitoring/connector_health.py; grep -n \"STATS_URL\\|url\\|/api/stats\" /opt/api-ka/src/monitoring/connector_health.py | head -12'","description":"Read connector_health run loop and stats URLs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3004,"cache_read_input_tokens":152972,"cache_creation":{"ephemeral_5m_input_tokens":3004,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0f76ceee-8802-44ea-93e5-ab52ed4f97b1","request_id":"req_011CeK6SMmQeckuTPnST7Eo8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MU5vQKEQpCwXtu6SUqg2vi","type":"tool_result","content":"def _stats_url(service: str) -> str | None:\n \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n source_url = get_settings().source_urls.get(service, \"\")\n if not source_url:\n return None\n parts = urlsplit(source_url)\n if not parts.scheme or not parts.netloc:\n return None\n return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n\n\ndef _fetch_stats(url: str) -> dict[str, Any]:\n \"\"\"GET /api/stats (lecture seule, timeout court).\"\"\"\n response = httpx.get(url, timeout=STATS_TIMEOUT_SECONDS, follow_redirects=True)\n response.raise_for_status()\n payload = response.json()\n if not isinstance(payload, dict):\n raise ValueError(\"payload /api/stats inattendu (dict requis)\")\n return payload\n\n\ndef _state_from_row(row: ConnectorHealth | None) -> SourceState:\n if row is None:\n return SourceState()\n return SourceState(\n status=row.status,\n last_success=_ensure_utc(row.last_success),\n found_last=row.found_last,\n median_found=row.median_found,\n consecutive_failures=row.consecutive_failures or 0,\n checked_at=_ensure_utc(row.checked_at),\n )\n\n\ndef _ensure_utc(value: datetime.datetime | None) -> datetime.datetime | None:\n if value is None:\n return None\n if value.tzinfo is None:\n return value.replace(tzinfo=datetime.UTC)\n return value\n\n\ndef _apply(\n session: Any,\n rows: dict[str, ConnectorHealth],\n service: str,\n source: str,\n assessment: Assessment,\n now: float,\n) -> str:\n \"\"\"Upsert de la ligne connector_health + alerte sur transition broken/stale.\"\"\"\n row = rows.get(source)\n previous_status = row.status if row is not None else None\n\n checked_at = _utc(now)\n if row is None:\n row = ConnectorHealth(service=service, source=source)\n session.add(row)\n rows[source] = row\n row.checked_at = checked_at\n row.status = assessment.status\n row.last_success = assessment.last_success\n row.found_last = assessment.found_last\n row.median_found = assessment.median_found\n row.consecutive_failures = assessment.consecutive_failures\n row.message = assessment.message\n\n if assessment.status in (STATUS_BROKEN, STATUS_STALE) and (\n previous_status != assessment.status\n ):\n alert(\n f\"[connecteurs] {service}/{source} : {assessment.status} — \"\n f\"{assessment.message}\"\n )\n return assessment.status\n\n\ndef _check_service(service: str, now: float) -> dict[str, Any]:\n \"\"\"Collecte et classe tous les connecteurs d'un service. Ne lève jamais\n pour cause d'app injoignable (l'échec est un état, pas une exception).\"\"\"\n url = _stats_url(service)\n if url is None:\n return {\"service\": service, \"skipped\": \"aucune SOURCE_URL configurée\"}\n\n cadence_seconds = EXPECTED_CADENCE_HOURS.get(service, 24) * 3600\n app_stale_after = STALE_FACTOR * cadence_seconds\n\n counts = dict.fromkeys(ALL_STATUSES, 0)\n\n try:\n11:Toutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\n42:from urllib.parse import urlsplit\n218: \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n229: message=f\"GET /api/stats injoignable ({error})\",\n234: \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n341:def _stats_url(service: str) -> str | None:\n342: \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n343: source_url = get_settings().source_urls.get(service, \"\")\n344: if not source_url:\n346: parts = urlsplit(source_url)\n349: return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n352:def _fetch_stats(url: str) -> dict[str, Any]:","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8e1a8d15-4fc6-45a0-99ff-fdc642c89270","timestamp":"2026-08-23T05:03:02.028Z","tool_use_result":{"stdout":"def _stats_url(service: str) -> str | None:\n \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n source_url = get_settings().source_urls.get(service, \"\")\n if not source_url:\n return None\n parts = urlsplit(source_url)\n if not parts.scheme or not parts.netloc:\n return None\n return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n\n\ndef _fetch_stats(url: str) -> dict[str, Any]:\n \"\"\"GET /api/stats (lecture seule, timeout court).\"\"\"\n response = httpx.get(url, timeout=STATS_TIMEOUT_SECONDS, follow_redirects=True)\n response.raise_for_status()\n payload = response.json()\n if not isinstance(payload, dict):\n raise ValueError(\"payload /api/stats inattendu (dict requis)\")\n return payload\n\n\ndef _state_from_row(row: ConnectorHealth | None) -> SourceState:\n if row is None:\n return SourceState()\n return SourceState(\n status=row.status,\n last_success=_ensure_utc(row.last_success),\n found_last=row.found_last,\n median_found=row.median_found,\n consecutive_failures=row.consecutive_failures or 0,\n checked_at=_ensure_utc(row.checked_at),\n )\n\n\ndef _ensure_utc(value: datetime.datetime | None) -> datetime.datetime | None:\n if value is None:\n return None\n if value.tzinfo is None:\n return value.replace(tzinfo=datetime.UTC)\n return value\n\n\ndef _apply(\n session: Any,\n rows: dict[str, ConnectorHealth],\n service: str,\n source: str,\n assessment: Assessment,\n now: float,\n) -> str:\n \"\"\"Upsert de la ligne connector_health + alerte sur transition broken/stale.\"\"\"\n row = rows.get(source)\n previous_status = row.status if row is not None else None\n\n checked_at = _utc(now)\n if row is None:\n row = ConnectorHealth(service=service, source=source)\n session.add(row)\n rows[source] = row\n row.checked_at = checked_at\n row.status = assessment.status\n row.last_success = assessment.last_success\n row.found_last = assessment.found_last\n row.median_found = assessment.median_found\n row.consecutive_failures = assessment.consecutive_failures\n row.message = assessment.message\n\n if assessment.status in (STATUS_BROKEN, STATUS_STALE) and (\n previous_status != assessment.status\n ):\n alert(\n f\"[connecteurs] {service}/{source} : {assessment.status} — \"\n f\"{assessment.message}\"\n )\n return assessment.status\n\n\ndef _check_service(service: str, now: float) -> dict[str, Any]:\n \"\"\"Collecte et classe tous les connecteurs d'un service. Ne lève jamais\n pour cause d'app injoignable (l'échec est un état, pas une exception).\"\"\"\n url = _stats_url(service)\n if url is None:\n return {\"service\": service, \"skipped\": \"aucune SOURCE_URL configurée\"}\n\n cadence_seconds = EXPECTED_CADENCE_HOURS.get(service, 24) * 3600\n app_stale_after = STALE_FACTOR * cadence_seconds\n\n counts = dict.fromkeys(ALL_STATUSES, 0)\n\n try:\n11:Toutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\n42:from urllib.parse import urlsplit\n218: \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n229: message=f\"GET /api/stats injoignable ({error})\",\n234: \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n341:def _stats_url(service: str) -> str | None:\n342: \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n343: source_url = get_settings().source_urls.get(service, \"\")\n344: if not source_url:\n346: parts = urlsplit(source_url)\n349: return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n352:def _fetch_stats(url: str) -> dict[str, Any]:","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8477a65e-1787-4fee-a333-7f0c89653482","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"4b021e9c-048f-4376-b794-c07334a6534d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"ca4dd997-7289-4a61-a5ed-db2611754b56","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"6ebbf9f6-794d-4b43-8c47-0c564317ad0f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":100,"uuid":"5857fb74-ef54-4a65-abf8-7f371f39a180","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":400,"estimated_tokens_delta":50,"uuid":"03bff83e-ca95-482d-b8d3-fc54b669a9bc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":450,"estimated_tokens_delta":50,"uuid":"cec28af9-0293-4100-a438-837de0c8b647","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":550,"estimated_tokens_delta":100,"uuid":"c06d2ccf-31c4-45cf-8bc9-f2496cef6445","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":600,"estimated_tokens_delta":50,"uuid":"916d4d89-a7c7-4cef-80c1-bbdcebd975f8","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":700,"estimated_tokens_delta":100,"uuid":"c30e86b6-773c-4aa4-bd08-a0e5cb5aa5fe","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":800,"estimated_tokens_delta":100,"uuid":"744fa11e-3559-4833-94d6-2c300f11f2bf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":950,"estimated_tokens_delta":150,"uuid":"445d7989-94a0-494e-a468-206e93e0b009","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1000,"estimated_tokens_delta":50,"uuid":"a4775d27-0dd6-45a0-9ba9-2bf985a0d279","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1100,"estimated_tokens_delta":100,"uuid":"cff80e64-5f77-4568-b181-be22a75db862","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1150,"estimated_tokens_delta":50,"uuid":"1e516b73-727e-4c7c-97d4-33621923e7dd","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1250,"estimated_tokens_delta":100,"uuid":"ca200f99-d581-4373-b2f7-75eee439c222","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1350,"estimated_tokens_delta":100,"uuid":"2dbc780b-53f6-437b-af3f-e2d9195eb94a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1450,"estimated_tokens_delta":100,"uuid":"612dcdb4-cd26-4751-be04-d29637678e11","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1550,"estimated_tokens_delta":100,"uuid":"c1f7f0d4-7cf3-4c92-9ae1-eee2023a3003","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":1600,"estimated_tokens_delta":50,"uuid":"e71d85ed-e888-4d31-8b17-e71dd7928385","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6SjZLXX5giMXACHUsD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","name":"Agent","input":{"description":"Réparer connecteurs lou-ka","prompt":"Tu travailles sur l'app KA **lou-ka**, déployée sur le nœud M3U96b, répertoire `~/apps/lou-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M3U96b '...'` (alias configuré). Pour éditer confortablement : `scp M3U96b:~/apps/lou-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Python venv de l'app : `~/apps/lou-ka/.venv/bin/python`. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub).\n\nCONTEXTE : lou-ka est un agrégateur de logements à louer au Québec (FastAPI + connecteurs Python dans `louka/connectors/`, un fichier par source, classe héritant de BaseConnector avec `source_id`, méthode `fetch()` qui retourne des `Listing`). Le sync tourne via pm2 `lou-ka-sync` (`run.py watch 60`), le web via pm2 `lou-ka-web` (`run.py serve 8095`). On peut synchroniser une source seule : `cd ~/apps/lou-ka && .venv/bin/python run.py sync <source_id>`.\n\nMISSION (4 sous-tâches) :\n\n1. **Réécrire le connecteur `tri_logis`** (`louka/connectors/tri_logis.py`) — BRISÉ depuis 23 synchros (found=0). Cause identifiée : le site a migré de `tri-logis.ca/espaces-a-louer/logements` (ancien site statique) vers **https://trilogis.ca/a-louer** (301). Nouveau site = Next.js App Router + Supabase (projet `tcrymlwdnwmfmpnkrfeu.supabase.co`, bucket `property-media`). Piste robuste : trouver la clé anon Supabase dans les chunks JS (`/_next/static/chunks/*.js` — cherche `supabase` et une JWT `eyJ...` avec `\"role\":\"anon\"`) et interroger l'API REST Supabase directement (`/rest/v1/<table>?select=*` avec en-têtes `apikey` et `Authorization: Bearer <anon>`) — découvre les tables via les appels réseau du site ou en essayant des noms plausibles (properties, units, listings...). Piste B si REST bloqué : parser le payload RSC (`self.__next_f.push`) embarqué dans le HTML de /a-louer. Conserve l'en-tête de commentaire du fichier (auteur Simon-Pierre Boucher) en le mettant à jour pour documenter le nouveau site et la méthode. Le connecteur doit produire les mêmes champs qu'avant (regarde le schéma `Listing` dans `louka/schema.py` et un connecteur récent comme exemple). Périmètre : logements résidentiels longue durée seulement (Rouyn-Noranda / Abitibi). ~600 logements gérés, seules les unités disponibles comptent.\n\n2. **Diagnostiquer `courtemanche` et `place_florimay`** (brisés : 4 et 8 synchros à 0). Va voir les sites en vrai (curl, suit les redirections). Si le site a changé de structure → adapte le connecteur. Si le site n'a réellement AUCUN logement disponible actuellement (ça arrive) → le connecteur n'est pas brisé, documente-le dans ton rapport et n'y touche pas.\n\n3. **Diagnostiquer `atlas_immo`** (dégradé : « aucun sync réussi observé »). Même approche.\n\n4. **Fenêtre de sync pour la supervision** : dans `louka/web.py`, la route `GET /api/stats` (~ligne 666) retourne `recent_syncs` = `SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20`. Le moniteur central (api-ka) polle toutes les 2 h et ne voit que 20 entrées (~11 min d'activité sur ~200 sources) → fausses alertes « stale » massives. Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé (LIMIT 20).\n\nVALIDATION OBLIGATOIRE avant commit :\n- `ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -m py_compile <fichiers modifiés>'`\n- Sync de test : `.venv/bin/python run.py sync tri_logis` → doit trouver > 0 annonces (idem pour les autres sources réparées). Regarde la sortie.\n- `pm2 restart lou-ka-web lou-ka-sync --update-env`, puis healthcheck : `curl -s http://127.0.0.1:8095/api/stats | head -c 300` (200 + JSON) et `curl -s \"http://127.0.0.1:8095/api/stats?syncs_since_h=6\"` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, se terminant par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — ce qui a été réparé (avec les counts trouvés), ce qui était un faux problème, commits (hash), ce qui reste à faire.","subagent_type":"general-purpose"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1661,"cache_read_input_tokens":155976,"cache_creation":{"ephemeral_5m_input_tokens":1661,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a3503b57-dcdd-4a9f-bae0-9c91395260f9","request_id":"req_011CeK6ShJADgA2KtbLTTinP"}} {"type":"claude","event":{"type":"system","subtype":"background_tasks_changed","tasks":[{"task_id":"a5e51891b9533074e","task_type":"local_agent","description":"Réparer connecteurs lou-ka"}],"uuid":"925b4a4f-cfbb-4e88-98af-a85d3b0646c7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Réparer connecteurs lou-ka","subagent_type":"general-purpose","task_type":"local_agent","prompt":"Tu travailles sur l'app KA **lou-ka**, déployée sur le nœud M3U96b, répertoire `~/apps/lou-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M3U96b '...'` (alias configuré). Pour éditer confortablement : `scp M3U96b:~/apps/lou-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Python venv de l'app : `~/apps/lou-ka/.venv/bin/python`. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub).\n\nCONTEXTE : lou-ka est un agrégateur de logements à louer au Québec (FastAPI + connecteurs Python dans `louka/connectors/`, un fichier par source, classe héritant de BaseConnector avec `source_id`, méthode `fetch()` qui retourne des `Listing`). Le sync tourne via pm2 `lou-ka-sync` (`run.py watch 60`), le web via pm2 `lou-ka-web` (`run.py serve 8095`). On peut synchroniser une source seule : `cd ~/apps/lou-ka && .venv/bin/python run.py sync <source_id>`.\n\nMISSION (4 sous-tâches) :\n\n1. **Réécrire le connecteur `tri_logis`** (`louka/connectors/tri_logis.py`) — BRISÉ depuis 23 synchros (found=0). Cause identifiée : le site a migré de `tri-logis.ca/espaces-a-louer/logements` (ancien site statique) vers **https://trilogis.ca/a-louer** (301). Nouveau site = Next.js App Router + Supabase (projet `tcrymlwdnwmfmpnkrfeu.supabase.co`, bucket `property-media`). Piste robuste : trouver la clé anon Supabase dans les chunks JS (`/_next/static/chunks/*.js` — cherche `supabase` et une JWT `eyJ...` avec `\"role\":\"anon\"`) et interroger l'API REST Supabase directement (`/rest/v1/<table>?select=*` avec en-têtes `apikey` et `Authorization: Bearer <anon>`) — découvre les tables via les appels réseau du site ou en essayant des noms plausibles (properties, units, listings...). Piste B si REST bloqué : parser le payload RSC (`self.__next_f.push`) embarqué dans le HTML de /a-louer. Conserve l'en-tête de commentaire du fichier (auteur Simon-Pierre Boucher) en le mettant à jour pour documenter le nouveau site et la méthode. Le connecteur doit produire les mêmes champs qu'avant (regarde le schéma `Listing` dans `louka/schema.py` et un connecteur récent comme exemple). Périmètre : logements résidentiels longue durée seulement (Rouyn-Noranda / Abitibi). ~600 logements gérés, seules les unités disponibles comptent.\n\n2. **Diagnostiquer `courtemanche` et `place_florimay`** (brisés : 4 et 8 synchros à 0). Va voir les sites en vrai (curl, suit les redirections). Si le site a changé de structure → adapte le connecteur. Si le site n'a réellement AUCUN logement disponible actuellement (ça arrive) → le connecteur n'est pas brisé, documente-le dans ton rapport et n'y touche pas.\n\n3. **Diagnostiquer `atlas_immo`** (dégradé : « aucun sync réussi observé »). Même approche.\n\n4. **Fenêtre de sync pour la supervision** : dans `louka/web.py`, la route `GET /api/stats` (~ligne 666) retourne `recent_syncs` = `SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20`. Le moniteur central (api-ka) polle toutes les 2 h et ne voit que 20 entrées (~11 min d'activité sur ~200 sources) → fausses alertes « stale » massives. Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé (LIMIT 20).\n\nVALIDATION OBLIGATOIRE avant commit :\n- `ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -m py_compile <fichiers modifiés>'`\n- Sync de test : `.venv/bin/python run.py sync tri_logis` → doit trouver > 0 annonces (idem pour les autres sources réparées). Regarde la sortie.\n- `pm2 restart lou-ka-web lou-ka-sync --update-env`, puis healthcheck : `curl -s http://127.0.0.1:8095/api/stats | head -c 300` (200 + JSON) et `curl -s \"http://127.0.0.1:8095/api/stats?syncs_since_h=6\"` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, se terminant par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — ce qui a été réparé (avec les counts trouvés), ce qui était un faux problème, commits (hash), ce qui reste à faire.","uuid":"1a52fbf3-44ec-441d-a217-878057848175","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully. (This tool result is internal metadata — never quote or paste any part of it, including the agentId below, into a user-facing reply.)\nagentId: a5e51891b9533074e (internal ID - do not mention to user. Use SendMessage with to: 'a5e51891b9533074e', summary: '<5-10 word recap>' 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.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/a5e51891b9533074e.output\nDo NOT Read or tail this file via the shell tool — it is the full subagent 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":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"32927849-8b5c-4d3f-a29c-634cce030dce","timestamp":"2026-08-23T05:04:03.156Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a5e51891b9533074e","description":"Réparer connecteurs lou-ka","resolvedModel":"claude-fable-5","prompt":"Tu travailles sur l'app KA **lou-ka**, déployée sur le nœud M3U96b, répertoire `~/apps/lou-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M3U96b '...'` (alias configuré). Pour éditer confortablement : `scp M3U96b:~/apps/lou-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Python venv de l'app : `~/apps/lou-ka/.venv/bin/python`. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub).\n\nCONTEXTE : lou-ka est un agrégateur de logements à louer au Québec (FastAPI + connecteurs Python dans `louka/connectors/`, un fichier par source, classe héritant de BaseConnector avec `source_id`, méthode `fetch()` qui retourne des `Listing`). Le sync tourne via pm2 `lou-ka-sync` (`run.py watch 60`), le web via pm2 `lou-ka-web` (`run.py serve 8095`). On peut synchroniser une source seule : `cd ~/apps/lou-ka && .venv/bin/python run.py sync <source_id>`.\n\nMISSION (4 sous-tâches) :\n\n1. **Réécrire le connecteur `tri_logis`** (`louka/connectors/tri_logis.py`) — BRISÉ depuis 23 synchros (found=0). Cause identifiée : le site a migré de `tri-logis.ca/espaces-a-louer/logements` (ancien site statique) vers **https://trilogis.ca/a-louer** (301). Nouveau site = Next.js App Router + Supabase (projet `tcrymlwdnwmfmpnkrfeu.supabase.co`, bucket `property-media`). Piste robuste : trouver la clé anon Supabase dans les chunks JS (`/_next/static/chunks/*.js` — cherche `supabase` et une JWT `eyJ...` avec `\"role\":\"anon\"`) et interroger l'API REST Supabase directement (`/rest/v1/<table>?select=*` avec en-têtes `apikey` et `Authorization: Bearer <anon>`) — découvre les tables via les appels réseau du site ou en essayant des noms plausibles (properties, units, listings...). Piste B si REST bloqué : parser le payload RSC (`self.__next_f.push`) embarqué dans le HTML de /a-louer. Conserve l'en-tête de commentaire du fichier (auteur Simon-Pierre Boucher) en le mettant à jour pour documenter le nouveau site et la méthode. Le connecteur doit produire les mêmes champs qu'avant (regarde le schéma `Listing` dans `louka/schema.py` et un connecteur récent comme exemple). Périmètre : logements résidentiels longue durée seulement (Rouyn-Noranda / Abitibi). ~600 logements gérés, seules les unités disponibles comptent.\n\n2. **Diagnostiquer `courtemanche` et `place_florimay`** (brisés : 4 et 8 synchros à 0). Va voir les sites en vrai (curl, suit les redirections). Si le site a changé de structure → adapte le connecteur. Si le site n'a réellement AUCUN logement disponible actuellement (ça arrive) → le connecteur n'est pas brisé, documente-le dans ton rapport et n'y touche pas.\n\n3. **Diagnostiquer `atlas_immo`** (dégradé : « aucun sync réussi observé »). Même approche.\n\n4. **Fenêtre de sync pour la supervision** : dans `louka/web.py`, la route `GET /api/stats` (~ligne 666) retourne `recent_syncs` = `SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20`. Le moniteur central (api-ka) polle toutes les 2 h et ne voit que 20 entrées (~11 min d'activité sur ~200 sources) → fausses alertes « stale » massives. Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé (LIMIT 20).\n\nVALIDATION OBLIGATOIRE avant commit :\n- `ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -m py_compile <fichiers modifiés>'`\n- Sync de test : `.venv/bin/python run.py sync tri_logis` → doit trouver > 0 annonces (idem pour les autres sources réparées). Regarde la sortie.\n- `pm2 restart lou-ka-web lou-ka-sync --update-env`, puis healthcheck : `curl -s http://127.0.0.1:8095/api/stats | head -c 300` (200 + JSON) et `curl -s \"http://127.0.0.1:8095/api/stats?syncs_since_h=6\"` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, se terminant par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — ce qui a été réparé (avec les counts trouvés), ce qui était un faux problème, commits (hash), ce qui reste à faire.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/a5e51891b9533074e.output","canReadOutputFile":true}}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0158crqeC8oBcJWJhEWFVF7N","type":"tool_result","content":"__init__.py\n__pycache__\n_detailutil.py\n_livya.py\n_resilient.py\naalto.py\nacceslogis_gb.py\nagence_sherbrooke.py\nakelius.py\nalexcellence.py\nalias_appartements.py\nalouer_sherbrooke.py\napartments_com.py\napp_urbains.py\nappartements_rimouski.py\nascensio.py\natimco.py\natlas_immo.py\naula.py\naxia.py\nbarnes_quebec.py\nbase.py\nbeaudoin.py\nbeaulieu_groupe.py\nbestlife.py\nboardwalk.py\nbons_locataires.py\nboreal_abitibi.py\nbribourg.py\nbrigil.py\nbrio.py\nbrivia_1sp.py\nbrochu.py\ncap_gestion.py\ncapital_rdr.py\ncapreit.py\ncarat_immobilier.py\ncenturion.py\ncite_immobilier.py\ncogir.py\ncontraste.py\ncopley.py\ncosoltec.py\ncourtemanche.py\ncromwell.py\ndenux.py\ndesmarais.py\ndesroches.py\ndevcore.py\ndevimco.py\n---\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/tri_logis.py : connecteur Société immobilière Tri-Logis inc.\n# (tri-logis.ca — Rouyn-Noranda, 600+ logements, référence n°1 en\n# Abitibi-Témiscamingue). Site custom statique, tout rendu serveur.\n# Liste /espaces-a-louer/logements : un bloc par immeuble (adresse, secteur,\n# proximité) ; seules les unités disponibles y ont une rangée (type, texte de\n# disponibilité, prix). Fiche unité /espaces-a-louer/immeuble/<imm>/<unité>\n# (via cache BD) : adresse complète avec code postal, description (bloc\n# « Apartment Features » : étage, inclusions, animaux…), galerie pleine\n# taille, inclusions. Périmètre : logements résidentiels seulement — les\n# pages /studios (meublés loués à la nuitée : « les prix des locations de\n# moins de 31 nuitées… ») et /chalets (court terme) sont exclues.\n# Pas de robots.txt (= tout permis).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport hashlib\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type, parse_price, strip_accents\nfrom .base import BaseConnector\n\nBASE = \"https://tri-logis.ca\"\nLIST_URL = f\"{BASE}/espaces-a-louer/logements\"\n\n# vignette redimensionnée « /_t282x186/ » ou « /_t600x407/ » -> pleine taille\n_THUMB_RE = re.compile(r\"/_t\\d+x\\d+/\")\n\n\ndef _pets_value(raw: str) -> str | None:\n \"\"\"Ligne « Pets allowed: … » de la fiche -> oui/non/conditions.\"\"\"\n k = strip_accents((raw or \"\").strip().lower())\n if not k:\n return None\n if re.search(r\"\\bno\\b|not allowed|aucun|non\\b\", k):\n return \"non\"\n if re.search(r\"cats and dogs|chats et chiens|\\byes\\b|allowed\", k):\n return \"oui\"\n if re.search(r\"cat|chat|dog|chien|small|petit\", k):\n return \"conditions\"\n return None\n\n\nclass TriLogisConnector(BaseConnector):\n source_id = \"tri_logis\"\n request_delay = 0.6\n max_details = 40 # garde-fou fiches unité (vraies requêtes par sync)\n\n def fetch(self) -> list[Listing]:\n html = self.get(LIST_URL).text\n soup = BeautifulSoup(html, \"html.parser\")\n\n self._fetched = 0\n listings: dict[str, Listing] = {}\n for bloc in soup.select(\".search-results .result.immeuble\"):\n try:\n self._parse_building(bloc, listings)\n except Exception:\n continue\n return list(listings.values())\n\n # -- bloc immeuble (liste) ------------------------------------------------------\n def _parse_building(self, bloc, listings: dict[str, Listing]) -> None:\n h3 = bloc.select_one(\".result-details h3\")\n building = h3.get_text(strip=True) if h3 else \"\"\n\n sector_el = bloc.select_one(\".result-details p strong\")\n sector = sector_el.get_text(strip=True) if sector_el else \"\"\n\n # « Proximité : IGA Roy, École…, parc » -> commodités de l'immeuble\n proximity = \"\"\n for h5 in bloc.select(\".result-details h5\"):\n if \"proximit\" in strip_accents(h5.get_text(strip=True).lower()):\n p = h5.find_next_sibling(\"p\")\n if p:\n proximity = re.sub(r\"\\s+\", \" \", p.get_text(\" \", strip=True))\n break\n\n # rangées d'unités disponibles (absentes quand 0 espace à louer)\n for a in bloc.select(\"a.apartment-details[href]\"):\n url = a[\"href\"]\n m = re.search(r\"/espaces-a-louer/immeuble/([^/]+)/([^/?#]+)\", url)\n if not m:\n continue\n ext_id = f\"{m.group(1)}--{m.group(2)}\"\n if ext_id in listings:\n continue\n\n type_el = a.find(\"h4\")\n unit_label = type_el.get_text(strip=True) if type_el else \"\"\n\n # texte de disponibilité (« Disponible dès maintenant », « Disponible\n # le 24 juil. 2024 »…) — sans le bouton « Planifier une visite »\n availability = \"\"\n p = a.find(\"p\")\n if p:\n txt = re.sub(r\"\\s+\", \" \", p.get_text(\" \", strip=True))\n m_av = re.search(r\"(Disponible[^|]*?)(?:Planifier|$)\", txt, re.I)\n if m_av:\n availability = m_av.group(1).strip()\n\n # prix : <div class=\"price\"><div>1,160 $</div><div>mois</div></div>\n price_label = \"\"\n price_el = a.select_one(\".price\")\n if price_el:\n price_label = re.sub(r\"\\s+\", \" \", price_el.get_text(\" \", strip=True))\n price = parse_price(re.sub(r\"(\\d),(\\d{3})\", r\"\\1\\2\", price_label))\n\n # inclusions annoncées sur la carte (« Inclus dans le prix » + liste)\n amenities: list[str] = []\n for h5 in a.find_all(\"h5\"):\n if \"inclus\" in strip_accents(h5.get_text(strip=True).lower()):\n sib = h5.find_next_sibling(\"p\")\n if sib:\n t = re.sub(r\"\\s+\", \" \", sib.get_text(\" \", strip=True))\n if t:\n amenities.append(t)\n if proximity:\n amenities.append(f\"À proximité : {proximity}\")\n\n images = [img[\"src\"] for img in a.select(\"img.img-responsive[src]\")\n if img[\"src\"].startswith(\"http\")]\n\n lst = Listing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=f\"{building} — {unit_label}\".strip(\" —\"),\n address=building, # affinée par la fiche unité\n sector=sector,\n city=\"Rouyn-Noranda\",\n unit_type=normalize_unit_type(unit_label),\n price=price,\n price_label=price_label,\n availability=availability,\n amenities=amenities,\n details={\"building\": building},\n images=[_THUMB_RE.sub(\"/\", u) for u in images],\n )\n\n key = hashlib.sha1(\n f\"{unit_label}|{price_label}|{availability}\".encode(\"utf-8\")\n ).hexdigest()\n try:\n payload = self.detail(ext_id, key,\n lambda u=url: self._fetch_detail(u))\n self._apply_detail(lst, payload)\n except Exception:\n pass\n listings[ext_id] = lst\n\n # -- fiche unité ------------------------------------------------------------------\n def _fetch_detail(self, url: str) -> dict:\n \"\"\"Adresse complète, description (« Apartment Features »), inclusions,\n galerie pleine taille.\"\"\"\n if self._fetched >= self.max_details:\n raise RuntimeError(\"budget de fiches unité atteint\")\n self._fetched += 1\n html = self.get(url).text\n soup = BeautifulSoup(html, \"html.parser\")\n out: dict = {}\n\n details_bloc = soup.select_one(\".specsheet .details\")\n if details_bloc:\n # adresse civique complète : « 992 Av. Larivière, Rouyn-Noranda,\n # QC J9X 4K5 » (premier <p> contenant la ville)\n for p in details_bloc.find_all(\"p\"):\n t = re.sub(r\"\\s+\", \" \", p.get_text(\" \", strip=True))\n if re.search(r\"rouyn|noranda|évain|evain|,\\s*QC\", t, re.I) \\\n and len(t) < 120 and not t.lower().startswith(\"address:\"):\n out[\"address\"] = t\n break\n\n # description libre (bloc anglais « Address / Availability /\n # Apartment Features / Pets allowed… ») — champs bruts fidèles\n best = \"\"\n for p in details_bloc.find_all(\"p\"):\n t = p.get_text(\"\\n\", strip=True)\n if len(t) > len(best):\n best = t\n if len(best) > 60:\n out[\"description\"] = re.sub(r\"\\n{2,}\", \"\\n\",\n re.sub(r\"[ \\t]+\", \" \", best))[:1500]\n\n # galerie pleine taille (liens slick-colorbox)\n out[\"images\"] = list(dict.fromkeys(\n a[\"href\"] for a in details_bloc.select(\"a.slick-colorbox[href]\")\n if a[\"href\"].startswith(\"http\")))[:25]\n\n # « Inclus dans le prix » du panneau latéral\n incl: list[str] = []\n for h5 in soup.select(\".brown-panel h5\"):\n if \"inclus\" in strip_accents(h5.get_text(strip=True).lower()):\n for sib in h5.find_next_siblings():\n if sib.name not in (\"p\", \"ul\", \"li\"):\n break # fin de la section (bouton…)\n for t in re.split(r\"\\s*[,;]\\s*\",\n sib.get_text(\" \", strip=True)):\n t = re.sub(r\"\\s+\", \" \", t).strip()\n if t and t not in incl:\n incl.append(t)\n out[\"included\"] = incl[:10]\n return out\n\n def _apply_detail(self, lst: Listing, d: dict) -> None:\n \"\"\"Reporte le payload (frais ou en cache) sur l'annonce.\"\"\"\n if not d:\n return\n if d.get(\"address\"):\n lst.address = d[\"address\"]\n if d.get(\"description\"):\n lst.description = d[\"description\"]\n m = re.search(r\"Pets allowed\\s*:\\s*([^\\n]+)\", d[\"description\"], re.I)\n if m:\n pets = _pets_value(m.group(1))\n if pets:\n lst.pets = pets\n if d.get(\"included\"):\n lst.amenities = list(dict.fromkeys(lst.amenities + d[\"included\"]))\n if d.get(\"images\"):\n lst.images = d[\"images\"]","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"cd6b5adb-7a5a-4e53-aff6-0d2e55b66673","timestamp":"2026-08-23T05:04:11.204Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6XEfAhfMst7LzjooLM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TjMqQsJRn6A5CggJ8fdLs1","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && cat louka/schema.py'","description":"Read Listing schema on M3U96b"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2440,"cache_creation_input_tokens":21149,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":21149,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ad443d7f-7237-4147-add8-c792567091e1","request_id":"req_011CeK6XD2gnxXygBTAj51mg","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Read Listing schema on M3U96b","subagent_type":"general-purpose","usage":{"total_tokens":23625,"tool_uses":2,"duration_ms":8720},"last_tool_name":"Bash","uuid":"6f74967e-7295-4f47-80e0-359f9a1599d6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TjMqQsJRn6A5CggJ8fdLs1","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# schema.py : modèle de données standardisé (Listing) + enrichissement central\n# -----------------------------------------------------------------------------\n\"\"\"Schéma standard d'une annonce (Listing) et normalisation des champs.\n\nChaque connecteur, peu importe le site source, doit produire des objets\n`Listing` conformes à ce schéma. La méthode `finalize()` applique ensuite\nla couche de normalisation commune (louka/normalize.py) : dates ISO,\nsuperficie en pi², commodités canoniques, prix… — les connecteurs peuvent\ndonc rester simples et remplir les champs bruts.\n\"\"\"\nfrom __future__ import annotations\n\nimport hashlib\nimport json\nfrom dataclasses import dataclass, field, asdict\n\nfrom .normalize import ( # ré-exportés pour les connecteurs existants\n bedrooms_from_unit_type,\n clean_address,\n clean_city,\n clean_sector,\n coerce_count,\n extract_details,\n merge_details,\n normalize_unit_type,\n parse_area_sqft,\n parse_availability_date,\n parse_bathrooms,\n parse_bedrooms,\n parse_price,\n price_is_from,\n strip_accents,\n)\n\n__all__ = [\n \"Listing\", \"infer_city\", \"normalize_unit_type\", \"parse_price\",\n \"parse_availability_date\", \"parse_area_sqft\", \"clean_address\",\n \"strip_accents\",\n]\n\n\n@dataclass\nclass Listing:\n \"\"\"Annonce standardisée Lou-Ka.\"\"\"\n\n source: str # id de la source (voir data/sources.json)\n external_id: str # identifiant chez la source\n url: str # page de l'annonce chez la source\n title: str = \"\" # ex. \"555, avenue du Fleuve\"\n address: str = \"\" # adresse civique\n sector: str = \"\" # quartier/arrondissement (ex. Beauport)\n city: str = \"\" # Québec, Lévis, ...\n unit_type: str = \"\" # 1½ … 5½, 6½+, Studio, Loft, Chambre…\n bedrooms: float | None = None # chambres fermées (convention QC : 4½ = 2)\n bathrooms: float | None = None # salles de bain (1.5 = salle d'eau en plus)\n price: float | None = None # loyer mensuel ($ CAD), le plus bas si \"à partir de\"\n price_label: str = \"\" # texte original (ex. \"à partir de 799$\")\n availability: str = \"\" # texte original (ex. \"Libre immédiatement\")\n availability_date: str | None = None # ISO \"2026-07-01\", \"now\", ou None\n area_sqft: float | None = None # superficie en pi²\n pets: str | None = None # \"oui\" | \"non\" | \"conditions\" | None\n furnished: bool | None = None # meublé (None = inconnu)\n description: str = \"\"\n digest: dict | None = None # description structurée (louka/textmine.py)\n amenities: list[str] = field(default_factory=list) # texte source, pour affichage\n details: dict = field(default_factory=dict) # champs structurés (JSON)\n images: list[str] = field(default_factory=list) # URLs absolues\n lat: float | None = None\n lng: float | None = None\n\n @property\n def uid(self) -> str:\n return f\"{self.source}:{self.external_id}\"\n\n def content_hash(self) -> str:\n \"\"\"Hash du contenu pour la détection de changements (pseudo-webhook).\"\"\"\n payload = asdict(self)\n blob = json.dumps(payload, sort_keys=True, ensure_ascii=False)\n return hashlib.sha256(blob.encode(\"utf-8\")).hexdigest()\n\n def finalize(self) -> \"Listing\":\n \"\"\"Applique la normalisation commune. Appelé par le pipeline d'ingestion.\n\n Idempotent ; ne remplace jamais une valeur explicite du connecteur.\n \"\"\"\n import html as _html\n self.title = _html.unescape(self.title).strip()\n self.address = clean_address(_html.unescape(self.address))\n self.sector = clean_sector(self.sector)\n self.city = clean_city(self.city)\n self.unit_type = normalize_unit_type(self.unit_type)\n\n if self.price is None:\n self.price = parse_price(self.price_label)\n if self.availability_date is None:\n self.availability_date = parse_availability_date(self.availability)\n if self.area_sqft is None:\n for texte in (self.description, \" \".join(self.amenities), self.title):\n self.area_sqft = parse_area_sqft(texte)\n if self.area_sqft is not None:\n break\n\n # coordonnées fournies par la source : rejeter tout point hors de la\n # province (lat/lng inversés, 0/0, coquilles) — le géocodeur prendra\n # le relais sur l'adresse plutôt que d'afficher un point au Kazakhstan\n if self.lat is not None and self.lng is not None:\n if not (44.5 <= self.lat <= 63.0 and -80.0 <= self.lng <= -56.0):\n self.lat = self.lng = None\n\n derived = extract_details(self.amenities, self.description, self.title)\n if self.price_label and price_is_from(self.price_label):\n derived[\"price_from\"] = True\n self.details = merge_details(self.details, derived)\n\n # chambres / salles de bain : valeur explicite du connecteur d'abord,\n # puis champs structurés de details, puis type d'unité (n½ -> n-2),\n # puis extraction texte — jamais de valeur inventée (None = inconnu)\n if self.bedrooms is None:\n for k in (\"bedrooms\", \"Chambres\", \"Chambre(s)\"):\n self.bedrooms = coerce_count(self.details.get(k))\n if self.bedrooms is not None:\n break\n if self.bedrooms is None:\n self.bedrooms = bedrooms_from_unit_type(self.unit_type)\n if self.bedrooms is None:\n self.bedrooms = parse_bedrooms(self.title, \" | \".join(self.amenities),\n self.description)\n if self.bathrooms is None:\n for k in (\"bathrooms\", \"Salles de bain\", \"Salle de bain\",\n \"Salle(s) de bain\"):\n self.bathrooms = coerce_count(self.details.get(k))\n if self.bathrooms is not None:\n break\n if self.bathrooms is None:\n self.bathrooms = parse_bathrooms(\" | \".join(self.amenities),\n self.description)\n\n # description structurée (nettoyage + extraction + sections)\n if self.digest is None and self.description:\n try:\n from .textmine import analyser\n self.digest = analyser(self.description, price=self.price,\n sector=self.sector, city=self.city)\n except ImportError:\n pass # module absent : la fiche affichera le texte brut\n\n if self.pets is None:\n self.pets = self.details.get(\"pets\")\n else:\n self.details[\"pets\"] = self.pets\n if self.furnished is None:\n furn = self.details.get(\"furnished\")\n self.furnished = furn if isinstance(furn, bool) else None\n else:\n self.details[\"furnished\"] = self.furnished\n return self\n\n\n# ---------------------------------------------------------------------------\n# Secteur -> ville (agglomération Québec / Lévis)\n# ---------------------------------------------------------------------------\n\n_LEVIS_SECTORS = {\n \"levis\", \"saint-romuald\", \"st-romuald\", \"charny\", \"saint-nicolas\",\n \"st-nicolas\", \"saint-david\", \"st-david\", \"desjardins\", \"saint-redempteur\",\n \"st-redempteur\", \"breakeyville\", \"saint-jean-chrysostome\", \"st-jean-chrysostome\",\n \"pintendre\", \"saint-etienne\", \"vieux-levis\",\n}\n\n\ndef infer_city(sector: str, default: str = \"Québec\") -> str:\n key = strip_accents((sector or \"\").strip().lower())\n if key in _LEVIS_SECTORS or \"levis\" in key:\n return \"Lévis\"\n return default","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"cd43c3de-e6cc-4272-a12c-8f5bdca0a4b0","timestamp":"2026-08-23T05:04:11.949Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6XsXTaX8CEQcezk9Nu","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":518,"cache_creation_input_tokens":9718,"cache_read_input_tokens":21149,"cache_creation":{"ephemeral_5m_input_tokens":9718,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"05363e79-6779-48c2-916f-cd314c27a451","request_id":"req_011CeK6XrDphSULKiDPHYda7","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6XsXTaX8CEQcezk9Nu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BqDkKviCRANhHLHagNuCeT","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && cat louka/connectors/base.py && echo ===RESILIENT=== && head -60 louka/connectors/_resilient.py'","description":"Read base connector and resilient helper"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":9718,"cache_read_input_tokens":21149,"cache_creation":{"ephemeral_5m_input_tokens":9718,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fdc1cb44-6a99-4a99-a72f-cf5d3917bf88","request_id":"req_011CeK6XrDphSULKiDPHYda7","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Read base connector and resilient helper","subagent_type":"general-purpose","usage":{"total_tokens":31435,"tool_uses":3,"duration_ms":14725},"last_tool_name":"Bash","uuid":"94635fe6-4837-4f1a-b65a-8a468e97ad17","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n# -----------------------------------------------------------------------------\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()).\n\n... [792 characters truncated] ...\n\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None) -> str:\n \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne\n le HTML (result.content) ou \"\" en cas d'échec ASP.\"\"\"\n return self.scrapfly(url, render_js=render_js, asp=asp,\n rendering_wait=rendering_wait, country=country,\n wait_for_selector=wait_for_selector,\n js_scenario=js_scenario, proxy_pool=proxy_pool\n ).get(\"content\") or \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Payload « page détail » avec cache : `fetch_fn` n'est appelé que si\n l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.\n\n Permet d'extraire les champs riches (description, inclusions, contact…)\n sans revisiter chaque page détail à chaque synchronisation.\n `fetch_fn` doit retourner un dict JSON-sérialisable.\n \"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[Listing]:\n raise NotImplementedError\n\n\n# =============================================================================\n# Résilience anti-bot (Groupe KA) — auto-escalade de get() sans toucher au corps.\n# Ajouté par l'orchestrateur KA : enrobe BaseConnector.get pour qu'un blocage\n# anti-bot (403/429/503/challenge) ou une coupure réseau déclenche la chaîne\n# de secours (Oxylabs résidentiel -> Scrapfly ASP -> Bright Data). Voir\n# connectors/_resilient.py. Idempotent (marqueur _KA_RESILIENT_WRAPPED).\n# =============================================================================\nif not getattr(BaseConnector, \"_KA_RESILIENT_WRAPPED\", False):\n import requests as _ka_requests # noqa: E402\n from . import _resilient as _kar # noqa: E402\n\n _ka_orig_get = BaseConnector.get\n\n def _ka_full_url(url, kw):\n try:\n return _ka_requests.Request(\"GET\", url,\n params=kw.get(\"params\")).prepare().url\n except Exception: # noqa: BLE001\n return url\n\n def _ka_resilient_get(self, url, **kw):\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n return _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n r = getattr(exc, \"response\", None)\n if r is not None and _kar.is_blocked(r):\n target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n better = _kar.escalate_if_blocked(\n r, target, timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n better = _kar.escalate(_ka_full_url(url, kw),\n timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n\n def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n\n Comme get() mais tente d'abord le direct puis escalade même sur 200-\n challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n requests (.text/.content/.status_code/.json()...).\n \"\"\"\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n resp = _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n resp = getattr(exc, \"response\", None)\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n resp = None\n target = _ka_full_url(url, kw)\n if resp is not None and getattr(resp, \"url\", None):\n target = resp.url\n return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n country=country, render_js=render_js,\n headers=headers)\n\n BaseConnector.get = _ka_resilient_get\n BaseConnector.get_resilient = _ka_get_resilient\n BaseConnector._KA_RESILIENT_WRAPPED = True\nzsh:1: ==RESILIENT=== not found","is_error":true,"tool_use_id":"toolu_01BqDkKviCRANhHLHagNuCeT"}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e2d49c1b-bd5d-4481-a6e0-e38d8788d3ee","timestamp":"2026-08-23T05:04:17.948Z","tool_use_result":"Error: Exit code 1\n# -----------------------------------------------------------------------------\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()).\n\n... [792 characters truncated] ...\n\n wait_for_selector: str | None = None,\n js_scenario: list | str | None = None,\n proxy_pool: str | None = None) -> str:\n \"\"\"HTML rendu via Scrapfly (ASP = bypass anti-bot + rendu JS). Retourne\n le HTML (result.content) ou \"\" en cas d'échec ASP.\"\"\"\n return self.scrapfly(url, render_js=render_js, asp=asp,\n rendering_wait=rendering_wait, country=country,\n wait_for_selector=wait_for_selector,\n js_scenario=js_scenario, proxy_pool=proxy_pool\n ).get(\"content\") or \"\"\n\n def detail(self, external_id: str, key: str, fetch_fn) -> dict:\n \"\"\"Payload « page détail » avec cache : `fetch_fn` n'est appelé que si\n l'annonce est nouvelle ou si sa clé (hash du contenu liste) a changé.\n\n Permet d'extraire les champs riches (description, inclusions, contact…)\n sans revisiter chaque page détail à chaque synchronisation.\n `fetch_fn` doit retourner un dict JSON-sérialisable.\n \"\"\"\n if not self.use_detail_cache:\n return fetch_fn() or {}\n from .. import db\n if self._detail_con is None:\n self._detail_con = db.connect()\n cached = db.get_cached_detail(self._detail_con, self.source_id,\n str(external_id), key)\n if cached is not None:\n return cached\n payload = fetch_fn() or {}\n db.put_cached_detail(self._detail_con, self.source_id,\n str(external_id), key, payload)\n return payload\n\n # -- contrat --------------------------------------------------------------\n def fetch(self) -> list[Listing]:\n raise NotImplementedError\n\n\n# =============================================================================\n# Résilience anti-bot (Groupe KA) — auto-escalade de get() sans toucher au corps.\n# Ajouté par l'orchestrateur KA : enrobe BaseConnector.get pour qu'un blocage\n# anti-bot (403/429/503/challenge) ou une coupure réseau déclenche la chaîne\n# de secours (Oxylabs résidentiel -> Scrapfly ASP -> Bright Data). Voir\n# connectors/_resilient.py. Idempotent (marqueur _KA_RESILIENT_WRAPPED).\n# =============================================================================\nif not getattr(BaseConnector, \"_KA_RESILIENT_WRAPPED\", False):\n import requests as _ka_requests # noqa: E402\n from . import _resilient as _kar # noqa: E402\n\n _ka_orig_get = BaseConnector.get\n\n def _ka_full_url(url, kw):\n try:\n return _ka_requests.Request(\"GET\", url,\n params=kw.get(\"params\")).prepare().url\n except Exception: # noqa: BLE001\n return url\n\n def _ka_resilient_get(self, url, **kw):\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n return _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n r = getattr(exc, \"response\", None)\n if r is not None and _kar.is_blocked(r):\n target = getattr(r, \"url\", None) or _ka_full_url(url, kw)\n better = _kar.escalate_if_blocked(\n r, target, timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n better = _kar.escalate(_ka_full_url(url, kw),\n timeout=timeout, headers=headers)\n if better is not None and getattr(better, \"status_code\", 0) == 200:\n return better\n raise\n\n def _ka_get_resilient(self, url, *, render_js=False, country=\"ca\", **kw):\n \"\"\"Fetch anti-bot explicite : force la chaîne de secours au besoin.\n\n Comme get() mais tente d'abord le direct puis escalade même sur 200-\n challenge, avec rendu JS optionnel. Renvoie une réponse compatible\n requests (.text/.content/.status_code/.json()...).\n \"\"\"\n timeout = getattr(self, \"timeout\", 30)\n headers = kw.get(\"headers\")\n try:\n resp = _ka_orig_get(self, url, **kw)\n except _ka_requests.HTTPError as exc:\n resp = getattr(exc, \"response\", None)\n except (_ka_requests.ConnectionError, _ka_requests.Timeout):\n resp = None\n target = _ka_full_url(url, kw)\n if resp is not None and getattr(resp, \"url\", None):\n target = resp.url\n return _kar.escalate_if_blocked(resp, target, timeout=timeout,\n country=country, render_js=render_js,\n headers=headers)\n\n BaseConnector.get = _ka_resilient_get\n BaseConnector.get_resilient = _ka_get_resilient\n BaseConnector._KA_RESILIENT_WRAPPED = True\nzsh:1: ==RESILIENT=== not found","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6XsXTaX8CEQcezk9Nu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L4QUTH7zZrFoXEVPEsPvcC","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && sed -n \"630,720p\" louka/web.py'","description":"Read stats route in web.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":9718,"cache_read_input_tokens":21149,"cache_creation":{"ephemeral_5m_input_tokens":9718,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3a195840-9832-4a46-b7d6-ac4e79d97b9e","request_id":"req_011CeK6XrDphSULKiDPHYda7","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Read stats route in web.py","subagent_type":"general-purpose","usage":{"total_tokens":31442,"tool_uses":4,"duration_ms":16153},"last_tool_name":"Bash","uuid":"30ebb044-bf5d-4e0b-8d3a-09bcddbfd509","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6SjZLXX5giMXACHUsD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","name":"Agent","input":{"description":"Réparer connecteurs immo-ka","prompt":"Tu travailles sur l'app KA **immo-ka** (agrégateur de propriétés à vendre au Québec), déployée sur le nœud M4M64a, répertoire `~/apps/immo-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M4M64a '...'` (alias configuré). Pour éditer : `scp M4M64a:~/apps/immo-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub). Process pm2 : `immo-ka-web` et `immo-ka-sync` (vérifie avec `pm2 jlist` les noms exacts). L'app suit le même pattern que lou-ka : connecteurs Python dans un sous-dossier `connectors/`, `run.py sync <source>` pour tester une source, venv `.venv/bin/python`.\n\nMISSION (3 sous-tâches) :\n\n1. **Réparer le connecteur `niddamour`** — BRISÉ : 5 synchros consécutives en échec ou à 0 résultat (selon le moniteur central api-ka). Trouve le fichier du connecteur, regarde les logs pm2 (`~/.pm2/logs/immo-ka-sync-*.log`, grep niddamour), teste le site source en live (curl, suis les redirections, regarde si la structure HTML a changé, si le site est tombé, ou s'il n'y a réellement aucune propriété à vendre en ce moment — dans ce dernier cas ce n'est PAS un bug, documente-le seulement).\n\n2. **Diagnostiquer `realtor_ag_ca`** (dégradé : « aucun sync réussi observé pour l'instant »). Même approche : c'est peut-être un connecteur récent jamais passé, un scraper bloqué (anti-bot), ou un bug. Outils anti-bot dispo dans le `.env` de l'app ou `~/.claude/.env` du nœud : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_* (proxies résidentiels `-cc-CA`). Répare si c'est réparable proprement.\n\n3. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` de l'app (probablement dans un `web.py`) — elle retourne `recent_syncs` avec un `LIMIT 20` (ou similaire). Le moniteur central (api-ka) polle toutes les 2 h et ne voit que ~20 entrées → fausses alertes « stale » (19 sources immo-ka faussement stale). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé.\n\nVALIDATION OBLIGATOIRE avant commit :\n- `py_compile` sur les fichiers modifiés avec le venv de l'app.\n- Sync de test des sources réparées : `run.py sync niddamour` etc. → counts > 0 attendus (sauf si le site est vraiment vide).\n- `pm2 restart <processus modifiés> --update-env`, healthcheck : trouve le port du web (`pm2 describe immo-ka-web`, script args) puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, terminé par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — réparé/faux problème/counts, commits (hash), restes.","subagent_type":"general-purpose"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1661,"cache_read_input_tokens":155976,"cache_creation":{"ephemeral_5m_input_tokens":1661,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a325e8ba-8076-4322-93aa-a3b677d4871a","request_id":"req_011CeK6ShJADgA2KtbLTTinP"}} {"type":"claude","event":{"type":"system","subtype":"background_tasks_changed","tasks":[{"task_id":"a5e51891b9533074e","task_type":"local_agent","description":"Réparer connecteurs lou-ka"},{"task_id":"ad65ea9cbddecef49","task_type":"local_agent","description":"Réparer connecteurs immo-ka"}],"uuid":"0330b367-2234-47cf-9a13-aca060a0fb20","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Réparer connecteurs immo-ka","subagent_type":"general-purpose","task_type":"local_agent","prompt":"Tu travailles sur l'app KA **immo-ka** (agrégateur de propriétés à vendre au Québec), déployée sur le nœud M4M64a, répertoire `~/apps/immo-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M4M64a '...'` (alias configuré). Pour éditer : `scp M4M64a:~/apps/immo-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub). Process pm2 : `immo-ka-web` et `immo-ka-sync` (vérifie avec `pm2 jlist` les noms exacts). L'app suit le même pattern que lou-ka : connecteurs Python dans un sous-dossier `connectors/`, `run.py sync <source>` pour tester une source, venv `.venv/bin/python`.\n\nMISSION (3 sous-tâches) :\n\n1. **Réparer le connecteur `niddamour`** — BRISÉ : 5 synchros consécutives en échec ou à 0 résultat (selon le moniteur central api-ka). Trouve le fichier du connecteur, regarde les logs pm2 (`~/.pm2/logs/immo-ka-sync-*.log`, grep niddamour), teste le site source en live (curl, suis les redirections, regarde si la structure HTML a changé, si le site est tombé, ou s'il n'y a réellement aucune propriété à vendre en ce moment — dans ce dernier cas ce n'est PAS un bug, documente-le seulement).\n\n2. **Diagnostiquer `realtor_ag_ca`** (dégradé : « aucun sync réussi observé pour l'instant »). Même approche : c'est peut-être un connecteur récent jamais passé, un scraper bloqué (anti-bot), ou un bug. Outils anti-bot dispo dans le `.env` de l'app ou `~/.claude/.env` du nœud : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_* (proxies résidentiels `-cc-CA`). Répare si c'est réparable proprement.\n\n3. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` de l'app (probablement dans un `web.py`) — elle retourne `recent_syncs` avec un `LIMIT 20` (ou similaire). Le moniteur central (api-ka) polle toutes les 2 h et ne voit que ~20 entrées → fausses alertes « stale » (19 sources immo-ka faussement stale). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé.\n\nVALIDATION OBLIGATOIRE avant commit :\n- `py_compile` sur les fichiers modifiés avec le venv de l'app.\n- Sync de test des sources réparées : `run.py sync niddamour` etc. → counts > 0 attendus (sauf si le site est vraiment vide).\n- `pm2 restart <processus modifiés> --update-env`, healthcheck : trouve le port du web (`pm2 describe immo-ka-web`, script args) puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, terminé par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — réparé/faux problème/counts, commits (hash), restes.","uuid":"e8c38094-b39d-487c-85fa-5bb689e19ce2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully. (This tool result is internal metadata — never quote or paste any part of it, including the agentId below, into a user-facing reply.)\nagentId: ad65ea9cbddecef49 (internal ID - do not mention to user. Use SendMessage with to: 'ad65ea9cbddecef49', summary: '<5-10 word recap>' 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.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/ad65ea9cbddecef49.output\nDo NOT Read or tail this file via the shell tool — it is the full subagent 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":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d99f93f7-9bea-47dd-8ba2-5038f04ae3ed","timestamp":"2026-08-23T05:04:19.367Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"ad65ea9cbddecef49","description":"Réparer connecteurs immo-ka","resolvedModel":"claude-fable-5","prompt":"Tu travailles sur l'app KA **immo-ka** (agrégateur de propriétés à vendre au Québec), déployée sur le nœud M4M64a, répertoire `~/apps/immo-ka`. Tu es sur M3U96a : TOUT se fait via `ssh M4M64a '...'` (alias configuré). Pour éditer : `scp M4M64a:~/apps/immo-ka/<fichier> /tmp/...`, édite localement, `scp` retour. Le repo de prod est la source de vérité (remote-first), remote `origin` = spbgit (PAS GitHub). Process pm2 : `immo-ka-web` et `immo-ka-sync` (vérifie avec `pm2 jlist` les noms exacts). L'app suit le même pattern que lou-ka : connecteurs Python dans un sous-dossier `connectors/`, `run.py sync <source>` pour tester une source, venv `.venv/bin/python`.\n\nMISSION (3 sous-tâches) :\n\n1. **Réparer le connecteur `niddamour`** — BRISÉ : 5 synchros consécutives en échec ou à 0 résultat (selon le moniteur central api-ka). Trouve le fichier du connecteur, regarde les logs pm2 (`~/.pm2/logs/immo-ka-sync-*.log`, grep niddamour), teste le site source en live (curl, suis les redirections, regarde si la structure HTML a changé, si le site est tombé, ou s'il n'y a réellement aucune propriété à vendre en ce moment — dans ce dernier cas ce n'est PAS un bug, documente-le seulement).\n\n2. **Diagnostiquer `realtor_ag_ca`** (dégradé : « aucun sync réussi observé pour l'instant »). Même approche : c'est peut-être un connecteur récent jamais passé, un scraper bloqué (anti-bot), ou un bug. Outils anti-bot dispo dans le `.env` de l'app ou `~/.claude/.env` du nœud : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS_* (proxies résidentiels `-cc-CA`). Répare si c'est réparable proprement.\n\n3. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` de l'app (probablement dans un `web.py`) — elle retourne `recent_syncs` avec un `LIMIT 20` (ou similaire). Le moniteur central (api-ka) polle toutes les 2 h et ne voit que ~20 entrées → fausses alertes « stale » (19 sources immo-ka faussement stale). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans le paramètre : comportement actuel inchangé.\n\nVALIDATION OBLIGATOIRE avant commit :\n- `py_compile` sur les fichiers modifiés avec le venv de l'app.\n- Sync de test des sources réparées : `run.py sync niddamour` etc. → counts > 0 attendus (sauf si le site est vraiment vide).\n- `pm2 restart <processus modifiés> --update-env`, healthcheck : trouve le port du web (`pm2 describe immo-ka-web`, script args) puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue.\n- `git add <fichiers> && git commit` (message français descriptif, terminé par la ligne `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`) `&& git push origin main`.\n\nNe laisse RIEN de non commité. Ton message final : rapport factuel — réparé/faux problème/counts, commits (hash), restes.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/ad65ea9cbddecef49.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L4QUTH7zZrFoXEVPEsPvcC","type":"tool_result","content":" }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"24938953-7e67-47e9-b4d5-256bcb2e9f7e","timestamp":"2026-08-23T05:04:19.378Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6XsXTaX8CEQcezk9Nu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XnNdFFbSpD9DxyTxEvKvNS","name":"Bash","input":{"command":"curl -sL -o /tmp/trilogis_alouer.html -w \"%{http_code} %{url_effective}\\n\" https://trilogis.ca/a-louer && wc -c /tmp/trilogis_alouer.html && grep -o 'supabase[^\"]*' /tmp/trilogis_alouer.html | sort -u | head","description":"Fetch trilogis.ca/a-louer 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...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'niddamour', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync niddamour ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'niddamour', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync niddamour ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'niddamour', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync niddamour ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'niddamour', 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'seconds': 0.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync niddamour 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6YWxj5figDqGFHx77F","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS5wUKpwEIERgCKkCLnyxqtA/TWkJeqtSfe6r+Nzd+NUswKSSvkQRLAXUsp0QiftrsipoEXXF/dIkabRq8KsZ6s8Dvqdt+DP9KsZgtMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHc/qnUBrABAhIMNYx1Kt8/CsY9WY48GgxFfiwLwOcc3XCOWm8iMLzOLxqOrTBqp3MFaoCF177LFAzwOZKowOKZ22e8SXUEYJXF9MpqvzMXeWdw5HawTyrsA+vGTkoGWlA6oJPdROGwHunGmY2MCsluNX8JpFqTyNQ2E2qo5vpQ66xe+Qe64Joih7DoIZNPbjPZlr0X+tnXDoiSRbDp6PBuvr8KkoJA51WPezRG7ksm3AnPplXSWWYoeQFIAlqGDJkElpmx1MQ+aSfMlNzvQIy+IHrKAPIzHed9E0UbTJdr8NGVqKzLGAT4agylYm2gy1Ad5pGi1/NGOWB26eFTbAYWs4CW8Ru859N65cbWKrXCWZmbq1e042IS/5w3OINKybQhzmHXOuZvaRc4kbCtdO+L2plNg/Y9qQSgLK66QeoCqSWYeOjsfFAE67UybVfEKRF4F4u4/dyZS7NaeSZ/X+GRmOAX++FmQuaJExDrx6YYw/MIvGacUrwKhaYXQ3Mb/0XSFiigAQBz3ePmFNQ4lIybXyZvrMfAud1yfbzaEWnROQg5C6OXjBSN440UgS/PNRDegZQYgMcO3rdqU1SXTauV/LwvYz5N3oH2BzT/yl2FLb4mAg/yn8bD81VaMDpfUPC4v5+IMh4F9JIGboljZb/PQNngsRnWrWntBUSYiAczC+KE7Svl/XFQ0exY/dHh64QCBiu7C6fT1EnoGQ61HnazB02Gwg0aTX/rdarmGbaG22H7GwFdAP+UVko3q4D5MUdW9J6lFhgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":11423,"cache_read_input_tokens":30867,"cache_creation":{"ephemeral_5m_input_tokens":11423,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4654ea7b-321f-40db-b41a-242ff291c1fc","request_id":"req_011CeK6YVHmQnv1Shn3pZPUw","subagent_type":"general-purpose","task_description":"Réparer 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J'examine sa structure et je cherche en parallèle la clé anon dans les chunks JS."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":11423,"cache_read_input_tokens":30867,"cache_creation":{"ephemeral_5m_input_tokens":11423,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e07f0bfe-3aaa-4402-a080-7edbc7e92605","request_id":"req_011CeK6YVHmQnv1Shn3pZPUw","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6YWxj5figDqGFHx77F","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AXqcviwcnJqC3KqGAKLHPr","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport re\nhtml = open('/tmp/trilogis_alouer.html').read()\n# find __next_f pushes\npushes = re.findall(r'self\\.__next_f\\.push\\(\\[1,\\s*\"(.*?)\"\\]\\)', html, re.S)\nprint(\"pushes:\", len(pushes), \"total len:\", sum(len(p) for p in pushes))\n# look for property-ish keys\nblob = \"\".join(pushes)\nfor key in ['\"address\"', '\"rent\"', '\"price\"', '\"bedrooms\"', '\"unit', '\"property', '\"available', 'disponible', 'Rouyn']:\n print(key, blob.count(key))\nEOF","description":"Inspect RSC payload structure in trilogis 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Process pm2 : `fabri-ka-web` et `fabri-ka-sync` (vérifie les noms avec `pm2 jlist`).\n\nCONTEXTE du moniteur central (api-ka, qui polle le `GET /api/stats` de fabri-ka toutes les 2 h et classe chaque magasin par `store_id` depuis le champ `sync_log`) :\n- **7 magasins BRISÉS** (≥3 synchros consécutives en échec ou 0 produit) : origin-north.ai (3), vergerlabonte.com (4), rose.ca (4), saveursmitis.com (7), canadel.com (3), wilsy.ca (4), visionartproductions.com (4).\n- **82 magasins DÉGRADÉS** avec found_last=0 et « aucun sync réussi observé pour l'instant » — possiblement des magasins récemment ajoutés jamais synchronisés avec succès, ou des scrapers qui ne matchent plus.\n- **Volume global de l'app en chute apparente** : le moniteur voit 1723 produits dans sa fenêtre contre une médiane de 8469 (peut être un artefact de fenêtrage : le sync_log exposé est plafonné à ~20 entrées et fabri-ka a ~713 magasins en rotation).\n\nMISSION :\n\n1. **Diagnostic d'ensemble** : comment fabri-ka synchronise (cadence, rotation des magasins, taille du sync_log exposé dans /api/stats). 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Répare le pattern si c'est UN bug commun ; sinon rapporte la ventilation.\n4. **Fenêtre de sync pour la supervision** : si le `sync_log` exposé par `GET /api/stats` est plafonné (LIMIT ~20), ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne les 20 dernières quand même. Sans le paramètre : comportement inchangé. (Adapte au format réel du sync_log de fabri-ka — clés `store_id`/`status`.)\n\nVALIDATION OBLIGATOIRE avant commit : py_compile (venv de l'app), test de sync ciblé des magasins réparés (trouve la commande — regarde run.py ou équivalent), `pm2 restart` des process touchés, healthcheck HTTP du /api/stats (avec et sans le paramètre), puis `git add/commit/push origin main` (message français, terminé par `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`).\n\nNe laisse RIEN de non commité. 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10_15_7) \"\n \"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 \"\n \"ImmoKaBot/1.0 (+https://www.immo-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 de courtage.\n\n Sous-classes : définir `source_id` et implémenter `fetch()` qui retourne\n la liste complète des propriétés 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\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)","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6d14ff30-de75-4a85-858c-e1ecbd1c1284","timestamp":"2026-08-23T05:04:46.805Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} 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simon-pierreboucher staff 512 Aug 23 01:04 data\ndrwxr-xr-x 9 simon-pierreboucher staff 288 Aug 12 10:34 deliverables\ndrwxr-xr-x 7 simon-pierreboucher staff 224 Aug 21 19:24 docs\ndrwxr-xr-x 19 simon-pierreboucher staff 608 Aug 19 04:12 fabrika\ndrwxr-xr-x 14 simon-pierreboucher staff 448 Aug 22 15:20 frontend\ndrwxr-xr-x 17 simon-pierreboucher staff 544 Aug 19 04:54 logs\n-rw-r--r-- 1 simon-pierreboucher staff 116 Aug 12 13:30 requirements.txt\n-rw-r--r-- 1 simon-pierreboucher staff 1842 Aug 12 09:48 run.py\ndrwxr-xr-x 38 simon-pierreboucher staff 1216 Aug 21 20:41 scripts\n---\n5f69a04 standard header/menu KA 2026-08-22 : header opaque + z-index tokens + ka-scroll-lock\n63de3e4 ka-agent v3 : bulle déplaçable par l'usager (drag pointer events + position mémorisée par site) — sync ka-ui 4e63c53\ne47ff5b SEO : lang fr-CA sur la coquille HTML\n29efd1a connecteurs: chaine de fetch anti-bot resiliente (Oxylabs->Scrapfly->Bright Data)\naafe6f1 Vague 5 exécutée : registre 3 947 -> 4 082 boutiques (+135 : afmq 63, modemtl 26, boeufdici 22, vendors_epipresto 12, apiculteursduquebec 12), 41 connectées dont 39 synchronisées (+4 865 produits publiés, 21 exclus par la couche qualité, 0 quarantaine) ; scripts/wave5_discovery.py (5 harvesters + integrate calqués sur wave4), priors vague 5 dans build_registry (vendors_epipresto en E 0.4 — vendeurs hétérogènes, preuve QC exigée), noms modemtl réparés (labels d'ancre « Web » -> vrais noms de marques, DB + FTS), conformité datée dans docs/CONFORMITE.md (écartés : ebenistes-quebec, microentreprendre, index-design, chantier.qc.ca, apdiq/designmontreal)\n---\nhfmarketdata-api online /Users/simon-pierreboucher\nhfmarketdata-ngrok online /Users/simon-pierreboucher\nimmo-ka-ngrok online /Users/simon-pierreboucher/apps/immo-ka\nfabri-ka-web online /Users/simon-pierreboucher/fabri-ka\nfabri-ka-sync online /Users/simon-pierreboucher/fabri-ka\nfabri-ka-ngrok online /Users/simon-pierreboucher/fabri-ka\nimmo-ka-web online /Users/simon-pierreboucher/apps/immo-ka\nimmo-ka-sync online /Users/simon-pierreboucher/apps/immo-ka\nora-ka-web online /Users/simon-pierreboucher/apps/ora-ka\nora-ka-sync online /Users/simon-pierreboucher/apps/ora-ka\nora-ka-ngrok online /Users/simon-pierreboucher/apps/ora-ka","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7e9225f6-a7d4-4f90-a0b8-22dc2f017958","timestamp":"2026-08-23T05:04:50.467Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ZtNcWs8kg2VyFxDCt","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CkCH1AZUbs2bjxqqETXisy","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && find . -maxdepth 2 -name \"*.py\" | head -50 && echo \"---\" && cat ecosystem.json 2>/dev/null || cat ecosystem.config.js 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1\n./run.py\n./scripts/enrich_shipping.py\n./scripts/aggregate.py\n./scripts/enrich_collections.py\n./scripts/reprobe.py\n./scripts/recategorize.py\n./scripts/reprobe_generic.py\n./scripts/cmaq_firecrawl.py\n./scripts/reprobe_stores.py\n./scripts/geocode_stores.py\n./scripts/enrich_stores.py\n./scripts/build_registry.py\n./scripts/signelocal_vendors.py\n./scripts/export_deliverables.py\n./scripts/wave4_discovery.py\n./scripts/wave3_discovery.py\n./scripts/adq_enum.py\n./scripts/enrich_contacts.py\n./scripts/probe2.py\n./scripts/harvest.py\n./scripts/probe.py\n./scripts/backfill_quality.py\n./scripts/wave5_discovery.py\n./scripts/purge_orphans.py\n./scripts/sitemap_probe.py\n./scripts/drill.py\n./scripts/sitemap_inventory.py\n./scripts/enum_misc.py\n./scripts/verify.py\n./scripts/backfill_certifications.py\n./scripts/gen_connector_docs.py\n./scripts/phase2_stats.py\n./scripts/backfill_closures.py\n./scripts/enrich_products.py\n./scripts/final_stats.py\n./fabrika/auth.py\n./fabrika/db.py\n./fabrika/ingest.py\n./fabrika/web.py\n./fabrika/seo.py\n./fabrika/hubprofile.py\n./fabrika/kapdf.py\n./fabrika/__init__.py\n./fabrika/statsdash.py\n./fabrika/inscriptions.py\n./fabrika/report.py\n./fabrika/schema.py\n./fabrika/hubfav.py\n---","is_error":true,"tool_use_id":"toolu_01CkCH1AZUbs2bjxqqETXisy"}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"37d22427-aef9-4041-b13d-47096c04d082","timestamp":"2026-08-23T05:04:52.214Z","tool_use_result":"Error: Exit code 1\n./run.py\n./scripts/enrich_shipping.py\n./scripts/aggregate.py\n./scripts/enrich_collections.py\n./scripts/reprobe.py\n./scripts/recategorize.py\n./scripts/reprobe_generic.py\n./scripts/cmaq_firecrawl.py\n./scripts/reprobe_stores.py\n./scripts/geocode_stores.py\n./scripts/enrich_stores.py\n./scripts/build_registry.py\n./scripts/signelocal_vendors.py\n./scripts/export_deliverables.py\n./scripts/wave4_discovery.py\n./scripts/wave3_discovery.py\n./scripts/adq_enum.py\n./scripts/enrich_contacts.py\n./scripts/probe2.py\n./scripts/harvest.py\n./scripts/probe.py\n./scripts/backfill_quality.py\n./scripts/wave5_discovery.py\n./scripts/purge_orphans.py\n./scripts/sitemap_probe.py\n./scripts/drill.py\n./scripts/sitemap_inventory.py\n./scripts/enum_misc.py\n./scripts/verify.py\n./scripts/backfill_certifications.py\n./scripts/gen_connector_docs.py\n./scripts/phase2_stats.py\n./scripts/backfill_closures.py\n./scripts/enrich_products.py\n./scripts/final_stats.py\n./fabrika/auth.py\n./fabrika/db.py\n./fabrika/ingest.py\n./fabrika/web.py\n./fabrika/seo.py\n./fabrika/hubprofile.py\n./fabrika/kapdf.py\n./fabrika/__init__.py\n./fabrika/statsdash.py\n./fabrika/inscriptions.py\n./fabrika/report.py\n./fabrika/schema.py\n./fabrika/hubfav.py\n---","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6aT7MQyB1jtHzSS4cp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013BzgGKMNsosviWhQ6E4tED","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"niddamour\" immoka/connectors/kw_prestige.py immoka/connectors/remax_quebec.py'","description":"Locate niddamour references in connectors"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1347,"cache_read_input_tokens":28428,"cache_creation":{"ephemeral_5m_input_tokens":1347,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"63581266-058f-467c-8298-c295ad0da0bd","request_id":"req_011CeK6aRdZ1btBpNdCiWEFE","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Locate niddamour references in connectors","subagent_type":"general-purpose","usage":{"total_tokens":29868,"tool_uses":7,"duration_ms":33389},"last_tool_name":"Bash","uuid":"d522ffb7-c261-46a5-a69d-9c7cf845a155","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1","is_error":true,"tool_use_id":"toolu_013BzgGKMNsosviWhQ6E4tED"}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8cc51702-8bd7-43ff-b521-b7f262478d9a","timestamp":"2026-08-23T05:04:52.850Z","tool_use_result":"Error: Exit code 1","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6aT7MQyB1jtHzSS4cp","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HXTakzPhEdJZoW6zw3X7J3","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"1,80p\" run.py'","description":"Read run.py header"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1347,"cache_read_input_tokens":28428,"cache_creation":{"ephemeral_5m_input_tokens":1347,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"63619634-e04e-479b-bd07-cfd63ac02bc6","request_id":"req_011CeK6aRdZ1btBpNdCiWEFE","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Read run.py header","subagent_type":"general-purpose","usage":{"total_tokens":29888,"tool_uses":8,"duration_ms":33931},"last_tool_name":"Bash","uuid":"693e1cf8-f327-4b9b-b9d2-c5123867e33e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HXTakzPhEdJZoW6zw3X7J3","type":"tool_result","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n python run.py sync [source ...] # synchronise les propriétés\n python run.py watch [minutes] # synchronise en boucle (défaut 60 min)\n python run.py serve [port] # démarre l'API + le frontend (défaut 8090)\n python run.py list # liste les connecteurs enregistrés\n python run.py geocode [n] # géocode les annonces sans coordonnées (max n requêtes)\n python run.py poi [n] # commodités de proximité par immeuble (max n requêtes)\n python run.py quartier [n] # rattache chaque annonce à son aire de diffusion (DAUID)\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n# Charger .env (FIRECRAWL_API_KEY, etc.) sans dépendance externe\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n for line in _env.read_text().splitlines():\n line = line.strip()\n if line and not line.startswith(\"#\") and \"=\" in line:\n k, _, v = line.partition(\"=\")\n os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n if cmd == \"sync\":\n from immoka import ingest\n ingest.run(sys.argv[2:] or None)\n elif cmd == \"watch\":\n from immoka import ingest\n minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 60\n ingest.watch(minutes * 60)\n elif cmd == \"list\":\n from immoka.connectors import CONNECTORS\n for sid in sorted(CONNECTORS):\n print(sid)\n print(f\"-- {len(CONNECTORS)} connecteur(s)\")\n elif cmd == \"geocode\":\n from immoka import geocode\n geocode.run_batch(int(sys.argv[2]) if len(sys.argv) > 2 else None)\n elif cmd == \"geocode1\": # ancien mode 1-par-1 (+ repli Nominatim)\n from immoka import geocode\n geocode.run(int(sys.argv[2]) if len(sys.argv) > 2 else None)\n elif cmd == \"poi\":\n from immoka import poi\n poi.run(int(sys.argv[2]) if len(sys.argv) > 2 else None)\n elif cmd == \"quartier\":\n from immoka import quartier\n quartier.enrich(int(sys.argv[2]) if len(sys.argv) > 2 else None)\n elif cmd == \"vraiprix\":\n from immoka import vraiprix\n vraiprix.run(int(sys.argv[2]) if len(sys.argv) > 2 else None)\n elif cmd == \"vraiprix_local\": # appariement local (vraiprix.db) : rapide\n from immoka import vraiprix_local\n reval = \"reval\" in sys.argv[2:]\n lim = next((int(a) for a in sys.argv[2:] if a.isdigit()), None)\n if \"role\" in sys.argv[2:]: # backfill rôle d'évaluation (jointure par id)\n vraiprix_local.enrich_role(lim)\n else:\n vraiprix_local.run(lim, revalidate=reval)\n elif cmd == \"serve\":\n import uvicorn\n port = int(sys.argv[2]) if len(sys.argv) > 2 else 8090\n uvicorn.run(\"immoka.web:app\", host=\"0.0.0.0\", port=port)\n else:\n print(__doc__)\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f0bdf2d1-18cb-4e47-b624-eb141ad75794","timestamp":"2026-08-23T05:04:53.365Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ZyUwc7MMMW3hEV6Nx","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":1820,"cache_read_input_tokens":43136,"cache_creation":{"ephemeral_5m_input_tokens":1820,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"93f80541-288f-4d0b-8768-ca53813e6b0a","request_id":"req_011CeK6ZxPxSVnHvoF7mTvwo","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ZyUwc7MMMW3hEV6Nx","type":"message","role":"assistant","content":[{"type":"text","text":"Le payload RSC contient un tableau `\"units\":[...]` propre et complet. J'extrais le JSON entier et je vérifie les pages détail et la clé anon."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1820,"cache_read_input_tokens":43136,"cache_creation":{"ephemeral_5m_input_tokens":1820,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f6c46996-9515-42c0-a79d-d3e9f5724f92","request_id":"req_011CeK6ZxPxSVnHvoF7mTvwo","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6SjZLXX5giMXACHUsD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","name":"Agent","input":{"description":"Réparer auto-ka et food-ka","prompt":"Tu travailles sur DEUX apps KA déployées sur le nœud M4M64b : **auto-ka** (voitures usagées, répertoire `~/auto-ka` — PAS sous ~/apps) et **food-ka** (prix d'épicerie, répertoire `~/apps/food-ka`). Tu es sur M3U96a : TOUT via `ssh M4M64b '...'`. Édition par `scp` aller-retour vers /tmp. Repos de prod = source de vérité, remote `origin` = spbgit (PAS GitHub). Process pm2 : `auto-ka-web`/`auto-ka-sync` et `food-ka-web`/`food-ka-sync` (vérifie avec `pm2 jlist`). Les deux apps suivent le pattern KA : FastAPI, connecteurs Python, `run.py sync <source>`, venv `.venv/bin/python`.\n\nCONTEXTE du moniteur central (api-ka, qui polle le `GET /api/stats` de chaque app toutes les 2 h) :\n- **auto-ka : 57 sources « stale »** sur 109 (aucun succès observé depuis >20-48 h selon la source). Diagnostic déjà fait sur lou-ka pour le même symptôme : le `/api/stats` n'expose que les ~20 dernières entrées de sync_log, donc le moniteur ne voit qu'une fraction des sources en rotation → la plupart de ces « stale » sont probablement des FAUX POSITIFS. MAIS il faut le confirmer pour auto-ka : vérifie dans les logs pm2 (`~/.pm2/logs/auto-ka-sync-out.log`) que les sources marquées stale passent réellement avec des counts > 0 (échantillonne-en 5-6 : le moniteur les voyait en dernier succès autour des 18-19 août).\n- **food-ka : 7 sources « stale »** (dernier succès observé 2026-08-20) + **léger recul du volume sur 14 jours** signalé par le rapport quotidien. Vérifie : (a) les 7 stale sont-elles de vrais échecs ou le même artefact de fenêtre ? regarde les logs de food-ka-sync ; (b) la tendance de volume — compte les enregistrements actifs en base et regarde les logs de sync récents : y a-t-il des sources qui rapportent moins qu'avant (bannières d'épicerie qui bloquent ? scraper cassé ?). Rapporte les chiffres.\n\nMISSION sur CHAQUE app :\n\n1. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` (cherche `recent_syncs` dans le code Python). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans paramètre : comportement actuel inchangé (LIMIT 20).\n2. **Vraies pannes** : toute source qui échoue RÉELLEMENT dans les logs récents (erreurs répétées, 0 systématique avec erreur) → diagnostique et répare si faisable (outils anti-bot dispo : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS proxies résidentiels -cc-CA, dans les .env). Ne réécris pas de connecteur entier sans nécessité — concentre-toi sur les quick wins.\n3. Pour food-ka : conclusion chiffrée sur le recul 14 jours (réel/artefact, quelle(s) source(s), ampleur).\n\nVALIDATION OBLIGATOIRE avant commit (par app) : py_compile, `pm2 restart <process touchés> --update-env`, healthcheck (`pm2 describe <app>-web` pour le port, puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue), `git add/commit/push origin main` (message français, terminé par `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`).\n\nNe laisse RIEN de non commité. Message final : rapport factuel par app — faux positifs vs vraies pannes (avec échantillons de logs), verdict chiffré du recul food-ka, commits (hash), restes.","subagent_type":"general-purpose"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1661,"cache_read_input_tokens":155976,"cache_creation":{"ephemeral_5m_input_tokens":1661,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a986797a-f363-4c8a-bf91-1d3539621446","request_id":"req_011CeK6ShJADgA2KtbLTTinP"}} {"type":"claude","event":{"type":"system","subtype":"background_tasks_changed","tasks":[{"task_id":"a5e51891b9533074e","task_type":"local_agent","description":"Réparer connecteurs lou-ka"},{"task_id":"ad65ea9cbddecef49","task_type":"local_agent","description":"Réparer connecteurs immo-ka"},{"task_id":"aa71615c2df33c00a","task_type":"local_agent","description":"Diagnostiquer fabri-ka dégradé"},{"task_id":"a9f84aba2a412fc0b","task_type":"local_agent","description":"Réparer auto-ka et food-ka"}],"uuid":"3161e43d-eb0e-44f6-8726-dd52112e67d4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Réparer auto-ka et food-ka","subagent_type":"general-purpose","task_type":"local_agent","prompt":"Tu travailles sur DEUX apps KA déployées sur le nœud M4M64b : **auto-ka** (voitures usagées, répertoire `~/auto-ka` — PAS sous ~/apps) et **food-ka** (prix d'épicerie, répertoire `~/apps/food-ka`). Tu es sur M3U96a : TOUT via `ssh M4M64b '...'`. Édition par `scp` aller-retour vers /tmp. Repos de prod = source de vérité, remote `origin` = spbgit (PAS GitHub). Process pm2 : `auto-ka-web`/`auto-ka-sync` et `food-ka-web`/`food-ka-sync` (vérifie avec `pm2 jlist`). Les deux apps suivent le pattern KA : FastAPI, connecteurs Python, `run.py sync <source>`, venv `.venv/bin/python`.\n\nCONTEXTE du moniteur central (api-ka, qui polle le `GET /api/stats` de chaque app toutes les 2 h) :\n- **auto-ka : 57 sources « stale »** sur 109 (aucun succès observé depuis >20-48 h selon la source). Diagnostic déjà fait sur lou-ka pour le même symptôme : le `/api/stats` n'expose que les ~20 dernières entrées de sync_log, donc le moniteur ne voit qu'une fraction des sources en rotation → la plupart de ces « stale » sont probablement des FAUX POSITIFS. MAIS il faut le confirmer pour auto-ka : vérifie dans les logs pm2 (`~/.pm2/logs/auto-ka-sync-out.log`) que les sources marquées stale passent réellement avec des counts > 0 (échantillonne-en 5-6 : le moniteur les voyait en dernier succès autour des 18-19 août).\n- **food-ka : 7 sources « stale »** (dernier succès observé 2026-08-20) + **léger recul du volume sur 14 jours** signalé par le rapport quotidien. Vérifie : (a) les 7 stale sont-elles de vrais échecs ou le même artefact de fenêtre ? regarde les logs de food-ka-sync ; (b) la tendance de volume — compte les enregistrements actifs en base et regarde les logs de sync récents : y a-t-il des sources qui rapportent moins qu'avant (bannières d'épicerie qui bloquent ? scraper cassé ?). Rapporte les chiffres.\n\nMISSION sur CHAQUE app :\n\n1. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` (cherche `recent_syncs` dans le code Python). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans paramètre : comportement actuel inchangé (LIMIT 20).\n2. **Vraies pannes** : toute source qui échoue RÉELLEMENT dans les logs récents (erreurs répétées, 0 systématique avec erreur) → diagnostique et répare si faisable (outils anti-bot dispo : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS proxies résidentiels -cc-CA, dans les .env). Ne réécris pas de connecteur entier sans nécessité — concentre-toi sur les quick wins.\n3. Pour food-ka : conclusion chiffrée sur le recul 14 jours (réel/artefact, quelle(s) source(s), ampleur).\n\nVALIDATION OBLIGATOIRE avant commit (par app) : py_compile, `pm2 restart <process touchés> --update-env`, healthcheck (`pm2 describe <app>-web` pour le port, puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue), `git add/commit/push origin main` (message français, terminé par `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`).\n\nNe laisse RIEN de non commité. Message final : rapport factuel par app — faux positifs vs vraies pannes (avec échantillons de logs), verdict chiffré du recul food-ka, commits (hash), restes.","uuid":"cc534edd-0371-4eee-9d26-01670a0ce990","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","type":"tool_result","content":[{"type":"text","text":"Async agent launched successfully. (This tool result is internal metadata — never quote or paste any part of it, including the agentId below, into a user-facing reply.)\nagentId: a9f84aba2a412fc0b (internal ID - do not mention to user. Use SendMessage with to: 'a9f84aba2a412fc0b', summary: '<5-10 word recap>' 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.\noutput_file: /private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/a9f84aba2a412fc0b.output\nDo NOT Read or tail this file via the shell tool — it is the full subagent 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":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8430c3d4-bd83-4611-a991-eb4ecf221310","timestamp":"2026-08-23T05:04:57.386Z","tool_use_result":{"isAsync":true,"status":"async_launched","agentId":"a9f84aba2a412fc0b","description":"Réparer auto-ka et food-ka","resolvedModel":"claude-fable-5","prompt":"Tu travailles sur DEUX apps KA déployées sur le nœud M4M64b : **auto-ka** (voitures usagées, répertoire `~/auto-ka` — PAS sous ~/apps) et **food-ka** (prix d'épicerie, répertoire `~/apps/food-ka`). Tu es sur M3U96a : TOUT via `ssh M4M64b '...'`. Édition par `scp` aller-retour vers /tmp. Repos de prod = source de vérité, remote `origin` = spbgit (PAS GitHub). Process pm2 : `auto-ka-web`/`auto-ka-sync` et `food-ka-web`/`food-ka-sync` (vérifie avec `pm2 jlist`). Les deux apps suivent le pattern KA : FastAPI, connecteurs Python, `run.py sync <source>`, venv `.venv/bin/python`.\n\nCONTEXTE du moniteur central (api-ka, qui polle le `GET /api/stats` de chaque app toutes les 2 h) :\n- **auto-ka : 57 sources « stale »** sur 109 (aucun succès observé depuis >20-48 h selon la source). Diagnostic déjà fait sur lou-ka pour le même symptôme : le `/api/stats` n'expose que les ~20 dernières entrées de sync_log, donc le moniteur ne voit qu'une fraction des sources en rotation → la plupart de ces « stale » sont probablement des FAUX POSITIFS. MAIS il faut le confirmer pour auto-ka : vérifie dans les logs pm2 (`~/.pm2/logs/auto-ka-sync-out.log`) que les sources marquées stale passent réellement avec des counts > 0 (échantillonne-en 5-6 : le moniteur les voyait en dernier succès autour des 18-19 août).\n- **food-ka : 7 sources « stale »** (dernier succès observé 2026-08-20) + **léger recul du volume sur 14 jours** signalé par le rapport quotidien. Vérifie : (a) les 7 stale sont-elles de vrais échecs ou le même artefact de fenêtre ? regarde les logs de food-ka-sync ; (b) la tendance de volume — compte les enregistrements actifs en base et regarde les logs de sync récents : y a-t-il des sources qui rapportent moins qu'avant (bannières d'épicerie qui bloquent ? scraper cassé ?). Rapporte les chiffres.\n\nMISSION sur CHAQUE app :\n\n1. **Fenêtre de sync pour la supervision** : trouve la route `GET /api/stats` (cherche `recent_syncs` dans le code Python). Ajoute un paramètre de requête optionnel **`syncs_since_h: float | None = None`** : quand fourni, retourne les entrées de sync avec `ts >= now - syncs_since_h*3600` (ORDER BY ts DESC, LIMIT 4000) ; si moins de 20 entrées correspondent, retourne quand même les 20 dernières toutes époques confondues. Sans paramètre : comportement actuel inchangé (LIMIT 20).\n2. **Vraies pannes** : toute source qui échoue RÉELLEMENT dans les logs récents (erreurs répétées, 0 systématique avec erreur) → diagnostique et répare si faisable (outils anti-bot dispo : SCRAPFLY_KEY, BRIGHTDATA_API_KEY, OXYLABS proxies résidentiels -cc-CA, dans les .env). Ne réécris pas de connecteur entier sans nécessité — concentre-toi sur les quick wins.\n3. Pour food-ka : conclusion chiffrée sur le recul 14 jours (réel/artefact, quelle(s) source(s), ampleur).\n\nVALIDATION OBLIGATOIRE avant commit (par app) : py_compile, `pm2 restart <process touchés> --update-env`, healthcheck (`pm2 describe <app>-web` pour le port, puis `curl -s http://127.0.0.1:<port>/api/stats | head -c 300` et avec `?syncs_since_h=6` → liste plus longue), `git add/commit/push origin main` (message français, terminé par `Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>`).\n\nNe laisse RIEN de non commité. Message final : rapport factuel par app — faux positifs vs vraies pannes (avec échantillons de logs), verdict chiffré du recul food-ka, commits (hash), restes.","outputFile":"/private/tmp/claude-501/-Users-simon-pierreboucher-ka-orchestrator/0fcb85b0-aad1-4f48-aa23-2c43db99d71b/tasks/a9f84aba2a412fc0b.output","canReadOutputFile":true}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1502c3d5-63b9-41e2-b2bc-bf3747bc460e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6arM6ZnhVqtTghtXqx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DVWQTPYnVfDENVrNJRKNh5","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && cat run.py && ls fabrika/ && grep -n \"sync_log\\|/api/stats\" fabrika/*.py | head -40'","description":"Read run.py and locate sync_log / stats endpoint"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":5289,"cache_read_input_tokens":20764,"cache_creation":{"ephemeral_5m_input_tokens":5289,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ea531ed9-ef3f-4ea0-a436-dfe3c9d648ac","request_id":"req_011CeK6apNY3wFJEd66A2Bz8","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Read run.py and locate sync_log / stats endpoint","subagent_type":"general-purpose","usage":{"total_tokens":26600,"tool_uses":3,"duration_ms":19119},"last_tool_name":"Bash","uuid":"86dbe8dc-34a1-4bcd-ad96-ea8819918cc5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DVWQTPYnVfDENVrNJRKNh5","type":"tool_result","content":"#!/usr/bin/env python3\n# -----------------------------------------------------------------------------\n# Fabri-Ka — Agrégateur de produits québécois\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# run.py : point d'entrée — `sync`, `watch`, `serve`, `registry`\n# -----------------------------------------------------------------------------\n\"\"\"Utilisation :\n python run.py sync [store_id ...] # synchronise les catalogues\n python run.py watch [minutes] # synchronise en boucle (défaut 360 min)\n python run.py serve [port] # démarre l'API + le frontend (défaut 8090)\n python run.py registry # reconstruit data/stores.json depuis le pipeline\n\"\"\"\nfrom __future__ import annotations\n\nimport os\nimport sys\nfrom pathlib import Path\n\n_env = Path(__file__).parent / \".env\"\nif _env.exists():\n for line in _env.read_text().splitlines():\n line = line.strip()\n if line and not line.startswith(\"#\") and \"=\" in line:\n k, _, v = line.partition(\"=\")\n os.environ.setdefault(k.strip(), v.strip())\n\n\ndef main() -> None:\n cmd = sys.argv[1] if len(sys.argv) > 1 else \"serve\"\n if cmd == \"sync\":\n from fabrika import ingest\n ingest.run(sys.argv[2:] or None)\n elif cmd == \"watch\":\n from fabrika import ingest\n minutes = int(sys.argv[2]) if len(sys.argv) > 2 else 360\n ingest.watch(minutes * 60)\n elif cmd == \"registry\":\n sys.path.insert(0, str(Path(__file__).parent / \"scripts\"))\n import build_registry\n build_registry.main()\n elif cmd == \"serve\":\n import uvicorn\n port = int(sys.argv[2]) if len(sys.argv) > 2 else 8090\n uvicorn.run(\"fabrika.web:app\", host=\"0.0.0.0\", port=port)\n else:\n print(__doc__)\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n__init__.py\n__pycache__\nauth.py\nconnectors\ndb.py\nhubfav.py\nhubprofile.py\ningest.py\ninscriptions.py\nkapdf.py\nreport.py\nrequirements.txt\nschema.py\nseo.py\nstatsdash.py\nweb.py\nfabrika/db.py:71:CREATE TABLE IF NOT EXISTS sync_log (\nfabrika/db.py:258: con.execute(\"INSERT INTO sync_log VALUES (?,?,?,?,?,?,?,?)\",\nfabrika/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\nfabrika/statsdash.py:4:# statsdash.py : tableau de bord /api/stats/dashboard (contrat ka-stats SPEC v2)\nfabrika/statsdash.py:6:\"\"\"Toutes les valeurs viennent de la base réelle (products / stores / sync_log) :\nfabrika/statsdash.py:9: pour la moyenne, même garde-fou que /api/stats/extended) ;\nfabrika/statsdash.py:15:- sources & fraîcheur = journal sync_log.\nfabrika/statsdash.py:479: FROM sync_log WHERE ts>=? AND ts<? ORDER BY ts DESC LIMIT 50\"\"\",\nfabrika/statsdash.py:565: date(ts,'unixepoch','localtime') FROM sync_log\nfabrika/web.py:260:@app.get(\"/api/stats/extended\")\nfabrika/web.py:378:@app.get(\"/api/stats/dashboard\")\nfabrika/web.py:391:@app.get(\"/api/stats/report\")\nfabrika/web.py:416:@app.get(\"/api/stats\")\nfabrika/web.py:429: FROM sync_log ORDER BY ts DESC LIMIT 30\"\"\")\nfabrika/web.py:430: return {\"totals\": totals, \"by_region\": by_region, \"sync_log\": recent}","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b8212bbe-9552-4923-b3c8-4737e92b61ec","timestamp":"2026-08-23T05:04:58.423Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6arM6ZnhVqtTghtXqx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011dvpTL3fKHp8echn2zfojX","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && ls fabrika/connectors 2>/dev/null | head; ls data/ && sqlite3 data/*.db \".tables\" 2>/dev/null | head'","description":"List connectors and database tables"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":5289,"cache_read_input_tokens":20764,"cache_creation":{"ephemeral_5m_input_tokens":5289,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b2bea4e7-44b6-4c5a-ab5e-48a51546fd56","request_id":"req_011CeK6apNY3wFJEd66A2Bz8","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running List connectors and database tables","subagent_type":"general-purpose","usage":{"total_tokens":26620,"tool_uses":4,"duration_ms":20009},"last_tool_name":"Bash","uuid":"967f4652-f490-4007-89ea-f5b3778713b2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011dvpTL3fKHp8echn2zfojX","type":"tool_result","content":"__init__.py\n__pycache__\n_resilient.py\nbase.py\ngeneric.py\nscrapfly.py\nshopify.py\nsquare.py\nsquarespace.py\nwix.py\ncollections_taxonomy.json\nenrich_cache\nenriched\nfabrika.db\ngeocode_cache\nraw\nstores.json\nverify_cache\nwave3_new_disabled.txt\nwave3_new_enabled.txt\nwave3_sync_ids.txt\nwave4_new_enabled.txt\nwave5_new_enabled.txt\ninscriptions products_fts_content stores \nproducts products_fts_data sync_log \nproducts_fts products_fts_docsize users \nproducts_fts_config products_fts_idx","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8fcdad06-5f08-4b0b-9b24-4c7de69cec95","timestamp":"2026-08-23T05:04:59.302Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6avhHUuMQMPZ8jYebM","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":1716,"cache_read_input_tokens":29775,"cache_creation":{"ephemeral_5m_input_tokens":1716,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"70129d54-ee9f-44b2-939f-d5e8f1514e7b","request_id":"req_011CeK6auNRFRDjiJkAS4cft","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"0deb1e28-4997-4a05-874b-5a1b66ce5a8b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ZyUwc7MMMW3hEV6Nx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0144QHjGcPnmtHKZfKmaEDpz","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport re, json\nhtml = open('/tmp/trilogis_alouer.html').read()\npushes = re.findall(r'self\\.__next_f\\.push\\(\\[1,\\s*\"(.*?)\"\\]\\)', html, re.S)\nblob = \"\".join(json.loads('\"%s\"' % p) for p in pushes)\nopen('/tmp/trilogis_rsc.txt','w').write(blob)\ni = blob.find('\"units\":')\ndec = json.JSONDecoder()\nunits, end = dec.raw_decode(blob, i + len('\"units\":'))\nprint(\"units:\", len(units))\nprint(json.dumps(units[0], ensure_ascii=False, indent=1)[:1200])\nimport collections\nprint(collections.Counter(u.get(\"unit_type\") for u in units))\nprint(collections.Counter(u.get(\"status\") for u in units))\nprint(\"sectors:\", collections.Counter(u.get(\"sector\") for u in units))\nprint(\"rooms:\", collections.Counter(u.get(\"rooms_notation\") for u in units))\nprint(\"desc non-null:\", sum(1 for u in units if u.get(\"description_publique\")))\n# look for detail links / unit page hrefs\nfor pat in ['/a-louer/','logement/','unite','\"href\"']:\n m = re.findall(re.escape(pat)+r'[^\"\\\\]{0,60}', blob)\n print(pat, len(m), m[:3])\nEOF","description":"Extract full units JSON from RSC payload"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1820,"cache_read_input_tokens":43136,"cache_creation":{"ephemeral_5m_input_tokens":1820,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c667158a-b62a-4551-a7ab-93d0e55e9c2d","request_id":"req_011CeK6ZxPxSVnHvoF7mTvwo","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Extract full units JSON from RSC payload","subagent_type":"general-purpose","usage":{"total_tokens":45062,"tool_uses":9,"duration_ms":58158},"last_tool_name":"Bash","uuid":"6a1c7f7a-8b39-49f5-b4bb-edb2d9025df3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0144QHjGcPnmtHKZfKmaEDpz","type":"tool_result","content":"units: 54\n{\n \"unit_id\": \"10317d7f-a7eb-474c-94d5-8967faaefea2\",\n \"unit_name\": \"60-12_Perreault-E\",\n \"unit_type\": \"residential\",\n \"building_id\": \"c0723fb9-2fc8-4813-9c33-8559f09b3fad\",\n \"building_name\": \"58-60_Perreault-E\",\n \"building_address\": \"58-60 Perreault-E, Rouyn-Noranda\",\n \"status\": \"departure_planned\",\n \"available_date\": \"2026-09-01\",\n \"monthly_rent\": 1100,\n \"rooms_notation\": \"2 ½\",\n \"bedrooms\": 0,\n \"square_feet\": null,\n \"description_publique\": null,\n \"visit_duration_minutes\": 30,\n \"sector\": \"Centre-ville\",\n \"latitude\": 48.2380263,\n \"longitude\": -79.0183737,\n \"cover_photo_url\": \"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-media/c0723fb9-2fc8-4813-9c33-8559f09b3fad/10317d7f-a7eb-474c-94d5-8967faaefea2/9b7d6962-7510-4d37-ac4e-93a87b0375c7_medium.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV9kNGI1NTNhYy1hMjY4LTQzMDEtODkwNC0yZTA2ZWVjMmQ2MzEiLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJwcm9wZXJ0eS1tZWRpYS9jMDcyM2ZiOS0yZmM4LTQ4MTMtOWMzMy04NTU5ZjA5YjNmYWQvMTAzMTdkN2YtYTdlYi00NzRjLTk0ZDUtODk2N2ZhYWVmZWEyLzliN2Q2OTYyLTc1MTAtNGQzNy1hYzRlLTkzYTg3YjAzNzVjN19tZWRpdW0ud2VicCIsInNjb3BlIjoiZG93bmxvYWQiLCJpYXQiOjE3ODc0NjEzMTAsImV4cCI6MTc4ODA2NjExMH0.Jc3NFZS4DxJCEwadEjnQoc4e2Ce\nCounter({'residential': 51, 'commercial': 3})\nCounter({'departure_planned': 39, 'vacant': 15})\nsectors: Counter({'Centre-ville': 30, 'Université': 7, 'Rouyn-Sud': 6, 'Noranda': 4, 'Montée-du-Sourire': 4, 'Sacré-Cœur': 1, 'Granada': 1, 'Arntfield': 1})\nrooms: Counter({'4 ½': 19, '2 ½': 14, '3 ½': 14, '5 ½': 3, None: 3, '6 ½': 1})\ndesc non-null: 0\n/a-louer/ 111 ['/a-louer/60-12_perreault-e', '/a-louer/76-12_mgr-tessier-o', '/a-louer/175-1_carter']\nlogement/ 0 []\nunite 0 []\n\"href\" 81 ['\"href\":', '\"href\":', '\"href\":']","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"13bad94f-c47c-480a-b6be-fa1c65291a42","timestamp":"2026-08-23T05:05:01.378Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6avhHUuMQMPZ8jYebM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A7C5rGXABMkB6tT9i1pPAs","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && .venv/bin/python run.py list | grep -i nidd; grep -rn \"amour\\|Amour\" immoka/connectors/*.py | grep -v __pycache__ | head'","description":"Find niddamour source in registered connectors"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1716,"cache_read_input_tokens":29775,"cache_creation":{"ephemeral_5m_input_tokens":1716,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d99582a4-50b2-4826-8e08-e12b3ff60e83","request_id":"req_011CeK6auNRFRDjiJkAS4cft","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Find niddamour source in registered 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ZyUwc7MMMW3hEV6Nx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UPNJJxPNrvSGwSzPX96rYq","name":"Bash","input":{"command":"grep -oE '/_next/static/chunks/[a-zA-Z0-9._/-]+\\.js' /tmp/trilogis_alouer.html | sort -u > /tmp/trilogis_chunks.txt; wc -l /tmp/trilogis_chunks.txt; head -40 /tmp/trilogis_chunks.txt","description":"Extract chunk paths from 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bEgGXddSTdEAtHHcZ","type":"message","role":"assistant","content":[{"type":"text","text":"Les 4 agents travaillent. Pendant ce temps, je fais le côté api-ka du correctif : le poller doit demander `?syncs_since_h=6`."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":10136,"cache_read_input_tokens":157637,"cache_creation":{"ephemeral_5m_input_tokens":10136,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a13585a6-1cf7-4b85-89d0-cdf680cb1dac","request_id":"req_011CeK6bCoAGwopowzYDAy98"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bEgGXddSTdEAtHHcZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WPqZTvJ4au32DCt1vJ9xfW","name":"Bash","input":{"command":"scp M3U96b:/opt/api-ka/src/monitoring/connector_health.py /tmp/apika-fix/connector_health.py","description":"Copy connector_health.py locally"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":10136,"cache_read_input_tokens":157637,"cache_creation":{"ephemeral_5m_input_tokens":10136,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"27d2afc1-583b-414a-97d2-f7be3ad381f1","request_id":"req_011CeK6bCoAGwopowzYDAy98"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WPqZTvJ4au32DCt1vJ9xfW","type":"tool_result","content":"(Bash completed with no output)","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fb748596-e33f-456a-bbbf-f4ec01f312d8","timestamp":"2026-08-23T05:05:03.903Z","tool_use_result":{"stdout":"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"a01217e4-a89d-4cd5-a072-540cf2169dc9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bNcWWqZvdhnDDSZ7G","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013B6D7LFykNa9JWm7E3tk3Y","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sed -n 1,120p fabrika/ingest.py'","description":"Read ingest.py sync logic (first part)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2527,"cache_read_input_tokens":26053,"cache_creation":{"ephemeral_5m_input_tokens":2527,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"912e8feb-cd15-4298-b9dd-1ae6d4a6bea5","request_id":"req_011CeK6bLhR9ryVLF4hxa71U","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Read ingest.py sync logic (first part)","subagent_type":"general-purpose","usage":{"total_tokens":28651,"tool_uses":5,"duration_ms":25584},"last_tool_name":"Bash","uuid":"065d66c2-8366-4d13-ae1a-6f1bb3d1b801","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013B6D7LFykNa9JWm7E3tk3Y","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Fabri-Ka — Agrégateur de produits québécois\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# ingest.py : orchestration des synchronisations — registre -> connecteurs ->\n# diff BD. Parallélisé par boutique (thread pool), tolérant aux\n# pannes (une boutique qui casse n'affecte jamais les autres).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport concurrent.futures as cf\nimport json\nimport sys\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom . import db\nfrom .connectors import connector_for\n\nREGISTRY_PATH = Path(__file__).resolve().parent.parent / \"data\" / \"stores.json\"\n\n# Nombre d'échecs de sync CONSÉCUTIFS avant de présumer l'atelier fermé\n# (12 × 6 h = ~3 jours sans jamais répondre). Statut réversible : un seul\n# sync réussi le remet à zéro et réactive la boutique.\nCLOSE_AFTER_FAILS = 12\n\n_db_lock = threading.Lock()\n\n\ndef load_registry() -> list[dict]:\n with open(REGISTRY_PATH) as f:\n return json.load(f)[\"stores\"]\n\n\ndef sync_store(store: dict) -> dict:\n \"\"\"Synchronise une boutique ; retourne un résumé (jamais d'exception).\"\"\"\n sid = store[\"id\"]\n conn = connector_for(store)\n if conn is None:\n return {\"store\": sid, \"status\": \"no-connector\"}\n try:\n products = conn.fetch()\n except Exception as exc:\n with _db_lock:\n con = db.connect()\n db.log_sync(con, sid, 0, 0, 0, 0, \"error\", str(exc))\n # compteur d'échecs consécutifs -> « présumée fermée »\n con.execute(\"UPDATE stores SET fail_streak=COALESCE(fail_streak,0)+1 \"\n \"WHERE id=?\", (sid,))\n row = con.execute(\"SELECT fail_streak, COALESCE(presumed_closed,0) \"\n \"FROM stores WHERE id=?\", (sid,)).fetchone()\n if row and row[0] >= CLOSE_AFTER_FAILS and not row[1]:\n con.execute(\"UPDATE stores SET presumed_closed=1, product_count=0 \"\n \"WHERE id=?\", (sid,))\n con.execute(\"UPDATE products SET active=0 WHERE store_id=?\", (sid,))\n db.log_sync(con, sid, 0, 0, 0, 0, \"presumed_closed\",\n f\"{row[0]} échecs consécutifs — produits dépubliés \"\n \"(réintégration automatique au premier sync réussi)\")\n print(f\" ⚠ {sid}: présumée fermée ({row[0]} échecs consécutifs)\",\n flush=True)\n con.commit(); con.close()\n return {\"store\": sid, \"status\": \"error\", \"message\": str(exc)[:200]}\n with _db_lock:\n con = db.connect()\n db.upsert_store(con, store)\n added, updated, removed = db.sync_products(con, sid, store.get(\"name\") or sid, products)\n db.log_sync(con, sid, len(products), added, updated, removed, \"ok\")\n # sync réussi : la boutique répond -> on efface l'ardoise\n con.execute(\"UPDATE stores SET fail_streak=0, presumed_closed=0 WHERE id=?\",\n (sid,))\n con.commit(); con.close()\n return {\"store\": sid, \"status\": \"ok\", \"found\": len(products),\n \"added\": added, \"updated\": updated, \"removed\": removed}\n\n\ndef run(only: list[str] | None = None, workers: int = 8) -> None:\n stores = load_registry()\n if only:\n wanted = {o.lower() for o in only}\n stores = [s for s in stores if s[\"id\"].lower() in wanted]\n # le répertoire /boutiques affiche TOUTES les boutiques du registre :\n # on upsert chaque fiche, même non connectable, avant la sync produits\n con = db.connect()\n for s in stores:\n db.upsert_store(con, s)\n con.commit(); con.close()\n stores = [s for s in stores if s.get(\"enabled\", True) and s.get(\"platform\")\n and s.get(\"catalog_endpoint\")]\n print(f\"[fabri-ka] sync de {len(stores)} boutiques…\", flush=True)\n t0 = time.time()\n ok = err = total = 0\n with cf.ThreadPoolExecutor(workers) as ex:\n for res in ex.map(sync_store, stores):\n status = res.get(\"status\")\n if status == \"ok\":\n ok += 1\n total += res.get(\"found\", 0)\n print(f\" ✓ {res['store']}: {res['found']} produits \"\n f\"(+{res['added']} ~{res['updated']} -{res['removed']})\", flush=True)\n elif status == \"error\":\n err += 1\n print(f\" ✗ {res['store']}: {res.get('message','')}\", flush=True)\n print(f\"[fabri-ka] terminé en {time.time()-t0:.0f}s — {ok} ok, {err} erreurs, \"\n f\"{total} produits vus\", flush=True)\n\n\ndef watch(interval_seconds: int) -> None:\n while True:\n try:\n run()\n except Exception as exc: # noqa: BLE001 — le watcher ne meurt jamais\n print(f\"[fabri-ka] watch: {exc}\", file=sys.stderr, flush=True)\n time.sleep(interval_seconds)","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4b1b4415-ee2b-402d-bbb4-7d7113952f25","timestamp":"2026-08-23T05:05:04.873Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} 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schema","subagent_type":"general-purpose","usage":{"total_tokens":28671,"tool_uses":6,"duration_ms":26681},"last_tool_name":"Bash","uuid":"1fa056c1-d0fe-4d30-ac1e-21c837752260","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016w9fWTHU8kHXbPif7Ekb78","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (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 (1 connecteur = 1 agence).\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\"[immo-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 CONNECTORS[obj.source_id] = obj","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5232087d-2442-42bf-a06c-ef68891a045b","timestamp":"2026-08-23T05:05:05.912Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n try:\n dash = statsdash.dashboard(period, from_, to)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu YYYY-MM-DD)\")\n site = {\"wordmark\": \"Fabri·Ka\", \"accent\": \"#c4532e\",\n \"domain\": \"www.fabri-ka.com\",\n \"tagline\": \"Tous les produits québécois. Un seul endroit.\"}\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n pdf = kapdf.GroupeKAReport(\n site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"fabri-ka\", period, mode)\n return Response(content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n try:\n totals = q(con, \"\"\"SELECT\n (SELECT COUNT(*) FROM products WHERE active=1 AND listing_status='published') AS products,\n (SELECT COUNT(*) FROM stores WHERE product_count>0) AS stores_live,\n (SELECT COUNT(*) FROM stores) AS stores_registry,\n (SELECT COUNT(DISTINCT region) FROM stores WHERE region<>'' AND product_count>0) AS regions\n \"\"\")[0]\n by_region = q(con, \"\"\"SELECT region, COUNT(*) AS stores, SUM(product_count) AS products\n FROM stores WHERE region<>'' GROUP BY region ORDER BY products DESC\"\"\")\n recent = q(con, \"\"\"SELECT ts, store_id, found, added, updated, removed, status\n FROM sync_log ORDER BY ts DESC LIMIT 30\"\"\")\n return {\"totals\": totals, \"by_region\": by_region, \"sync_log\": recent}\n finally:\n con.close()\n\n\n_sync_running = threading.Lock()\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks):\n if _sync_running.locked():\nzsh:1: === not found","is_error":true,"tool_use_id":"toolu_016MooZfeUKNfeMrNkqRm87Z"}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bde44d33-04de-46a2-9517-88e1cdb1eabf","timestamp":"2026-08-23T05:05:05.920Z","tool_use_result":"Error: Exit code 1\n try:\n dash = statsdash.dashboard(period, from_, to)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu YYYY-MM-DD)\")\n site = {\"wordmark\": \"Fabri·Ka\", \"accent\": \"#c4532e\",\n \"domain\": \"www.fabri-ka.com\",\n \"tagline\": \"Tous les produits québécois. Un seul endroit.\"}\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n pdf = kapdf.GroupeKAReport(\n site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"fabri-ka\", period, mode)\n return Response(content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n try:\n totals = q(con, \"\"\"SELECT\n (SELECT COUNT(*) FROM products WHERE active=1 AND listing_status='published') AS products,\n (SELECT COUNT(*) FROM stores WHERE product_count>0) AS stores_live,\n (SELECT COUNT(*) FROM stores) AS stores_registry,\n (SELECT COUNT(DISTINCT region) FROM stores WHERE region<>'' AND product_count>0) AS regions\n \"\"\")[0]\n by_region = q(con, \"\"\"SELECT region, COUNT(*) AS stores, SUM(product_count) AS products\n FROM stores WHERE region<>'' GROUP BY region ORDER BY products DESC\"\"\")\n recent = q(con, \"\"\"SELECT ts, store_id, found, added, updated, removed, status\n FROM sync_log ORDER BY ts DESC LIMIT 30\"\"\")\n return {\"totals\": totals, \"by_region\": by_region, \"sync_log\": recent}\n finally:\n con.close()\n\n\n_sync_running = threading.Lock()\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks):\n if _sync_running.locked():\nzsh:1: === not found","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bDmT363hGJmC8jeFn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01KzLkpLea9zDAQwVgwaaWJ1","name":"Bash","input":{"command":"ssh M4M64b 'grep -rn \"recent_syncs\" ~/auto-ka --include=\"*.py\" | head -20; echo ---; grep -rn \"recent_syncs\" ~/apps/food-ka --include=\"*.py\" | head -20'","description":"Find recent_syncs in both apps' code"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2440,"cache_creation_input_tokens":15065,"cache_read_input_tokens":5678,"cache_creation":{"ephemeral_5m_input_tokens":15065,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e287f34a-d9a2-4685-a94f-f911ae35fd9e","request_id":"req_011CeK6bCYXj3iDcFw5gvura","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Find recent_syncs in both apps' code","subagent_type":"general-purpose","usage":{"total_tokens":23203,"tool_uses":2,"duration_ms":9095},"last_tool_name":"Bash","uuid":"e14df0a3-dfff-4705-97e9-9758a59f98ea","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KzLkpLea9zDAQwVgwaaWJ1","type":"tool_result","content":"/Users/simon-pierreboucher/auto-ka/autoka/web.py:311: \"by_body\": by_body, \"price_drops\": drops, \"recent_syncs\": log}\n---\n/Users/simon-pierreboucher/apps/food-ka/foodka/web.py:240: \"deals\": deals, \"recent_syncs\": log}","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a113ebe4-c7c1-4a8f-9fc9-3690ecd9e85e","timestamp":"2026-08-23T05:05:06.922Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bhz5oAXGCWrKKPRbj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vyr3pq3wnRVGB792hC1FMW","name":"Read","input":{"file_path":"/tmp/apika-fix/connector_health.py","offset":50,"limit":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":355,"cache_read_input_tokens":167773,"cache_creation":{"ephemeral_5m_input_tokens":355,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7c0a02cc-1da2-4244-854f-dcb58599b6d6","request_id":"req_011CeK6bgP6Sm3R3guK6TBMc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vyr3pq3wnRVGB792hC1FMW","type":"tool_result","content":"50\tfrom src.utils.logger import alert, get_logger\n51\t\n52\t# Source virtuelle représentant l'état global d'une app.\n53\tAPP_SOURCE = \"_app\"\n54\t\n55\tSTATS_TIMEOUT_SECONDS = 5.0\n56\t\n57\tSTATUS_OK = \"ok\"\n58\tSTATUS_DEGRADED = \"degraded\"\n59\tSTATUS_BROKEN = \"broken\"\n60\tSTATUS_STALE = \"stale\"\n61\tALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n62\t\n63\t# broken après N échecs (ou 0 résultat) consécutifs.\n64\tBROKEN_THRESHOLD = 3"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b07001bd-b029-4134-a256-8babe38f342b","timestamp":"2026-08-23T05:05:08.120Z","tool_use_result":{"type":"text","file":{"filePath":"/tmp/apika-fix/connector_health.py","content":"from src.utils.logger import alert, get_logger\n\n# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\nSTATUS_OK = \"ok\"\nSTATUS_DEGRADED = \"degraded\"\nSTATUS_BROKEN = \"broken\"\nSTATUS_STALE = \"stale\"\nALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n\n# broken après N échecs (ou 0 résultat) consécutifs.\nBROKEN_THRESHOLD = 3","numLines":15,"startLine":50,"totalLines":525}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"193fa28f-ac3c-4149-84c4-eb748ec9de83","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bdPkyTymTvXPe1sb4","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":3092,"cache_read_input_tokens":44956,"cache_creation":{"ephemeral_5m_input_tokens":3092,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"eb4dcc9d-1e11-4b32-a4c6-da6b382c44b1","request_id":"req_011CeK6bbg5Yu6e8Va2BtuzE","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bdPkyTymTvXPe1sb4","type":"message","role":"assistant","content":[{"type":"text","text":"54 unités dans le payload (51 résidentielles). Détails à `/a-louer/<slug>`. Je vérifie une page détail et la clé anon Supabase dans les chunks."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3092,"cache_read_input_tokens":44956,"cache_creation":{"ephemeral_5m_input_tokens":3092,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e231284f-8bb3-486f-aaf4-2185dedb9965","request_id":"req_011CeK6bbg5Yu6e8Va2BtuzE","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6brnRA2xg4SpFaHQGe","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISiwQKpwEIERgCKkCp99Ha/sdKLLiIe7WoXt9EeuN+syCZNMEFARcP8weulNWF7XJDKN+ax7LcNMiNCpq5hLcQhn8+ynxIkxojIFftMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGH/6nUBrABAhIMUarNKFuBurCmUoQhGgxuJY3sZJ1ksHotPdMiMHQoGySPUQpU+rpXFgZC+JK28A9D1uD/TKGjulhMm2iOLJXPltjP5mOvDe+4ZbNlViqQAgc9MJd9A8RSQ3TIS8H0gc+uyCnae6d+mvJBMaBFrIlE5rmfQKFY45L/OCdDxa4TP0hy7Ni6vOa9I6/NW0pa0nt1WzryA3pdbp37Ex3jNQXQf0jvZjstIMNdaU7MKmt/pyDRig3vTVXkhgNeBN4Loz4E5SPWQ6qZdP6S94E0LWF24HvmGb3I9srMa4BtL2W9ZMDVZky9KyKUcBwWkWRm+jpMVomHdMxUNHEtLc/McvsO49Fat6l250R5s8dblgCx+ecQIIQE8T2KyJaCCsD6WrlEMqr8uCjzh1H8Y7gDmyebuy3ZRmLUWZecz08MbJRj2rUA5Zv3wzs417ZESwXqx+hmGAwt2mpKyMiMz+RtsC2KGAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3049,"cache_read_input_tokens":28580,"cache_creation":{"ephemeral_5m_input_tokens":3049,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f21f106f-aad1-4996-9022-ef57627f6f41","request_id":"req_011CeK6bq219S8V5zN2gHY7P","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6brnAtfnx6Lynjs4XZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BKEggueZK6SgRoL4EmxTF7","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && grep -ln \"source_id = \\\"niddamour\\\"\\|source_id=\\\"niddamour\\\"\\|niddamour\" immoka/connectors/*.py; for f in immoka/connectors/*.py; do g=$(grep -l \"niddamour\" \"$f\" 2>/dev/null); done; grep -rn \"source_id\" immoka/connectors/*.py | grep -iv \"self\\.\\|#\" | grep \"\\\"\" | head -60'","description":"Map source_id values to connector files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":655,"cache_read_input_tokens":31846,"cache_creation":{"ephemeral_5m_input_tokens":655,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2ada31ac-941c-443a-81ea-158a80bc351d","request_id":"req_011CeK6bpwYUWKXs7Xzf4TPv","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Map source_id values to connector files","subagent_type":"general-purpose","usage":{"total_tokens":32655,"tool_uses":11,"duration_ms":52788},"last_tool_name":"Bash","uuid":"7fd4d702-a500-4670-a816-85b1452e3bd6","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BKEggueZK6SgRoL4EmxTF7","type":"tool_result","content":"immoka/connectors/__init__.py:29: and obj is not BaseConnector and getattr(obj, \"source_id\", \"\")):\nimmoka/connectors/agenceimage.py:178: source_id = \"image_ag_qc\"\nimmoka/connectors/agences_source_immo.py:75: \"source_id\": _sid,\nimmoka/connectors/avecuncourtier.py:60: source_id = \"cio_ag_outaouais\"\nimmoka/connectors/barnes_quebec.py:71: source_id = \"barnes_quebec\"\nimmoka/connectors/base.py:33: source_id: str = \"\"\nimmoka/connectors/bhhs_quebec.py:68: source_id = \"bhhs_ag_qc\"\nimmoka/connectors/century21_agences.py:82: \"source_id\": _sid,\nimmoka/connectors/charisma.py:59: source_id = \"charisma_ag_qc\"\nimmoka/connectors/duproprio.py:42: source_id = \"duproprio\"\nimmoka/connectors/duquesimms.py:53: source_id = \"duquesimms\"\nimmoka/connectors/engel_volkers.py:30: source_id = \"engel_volkers\"\nimmoka/connectors/exp_quebec.py:295: source_id = \"exp_ag_qc\"\nimmoka/connectors/expert_immobilier_pm.py:54: source_id = \"expert_immobilier_pm\"\nimmoka/connectors/fb_marketplace.py:50: source_id = \"fb_marketplace\"\nimmoka/connectors/glmc.py:71: source_id = \"glmc_ag_qc\"\nimmoka/connectors/guidehabitation.py:61: source_id = \"guidehabitation\"\nimmoka/connectors/imcha.py:70: source_id = \"imcha_ag_qc\"\nimmoka/connectors/immeuble_contact.py:193: source_id = \"contact_ag_qc\"\nimmoka/connectors/immeubles_stuart.py:50: source_id = \"stuart\"\nimmoka/connectors/kijiji.py:127: source_id = \"kijiji\"\nimmoka/connectors/kw_distinction.py:67: source_id = \"kw_distinction\"\nimmoka/connectors/kw_prestige.py:83: source_id = \"kw_prestige\"\nimmoka/connectors/kw_urbain.py:60: source_id = \"kw_urbain\"\nimmoka/connectors/lespac.py:37: source_id = \"lespac\"\nimmoka/connectors/logisquebec.py:53: source_id = \"logis_ag_quebec\"\nimmoka/connectors/m_immobilier.py:30: source_id = \"m_immobilier\"\nimmoka/connectors/pmml.py:49: source_id = \"pmml\"\nimmoka/connectors/profusion.py:33: source_id = \"profusion\"\nimmoka/connectors/proprio_direct.py:48: source_id = \"proprio_direct\"\nimmoka/connectors/publimaison.py:58: source_id = \"publimaison_ag_qc\"\nimmoka/connectors/realtor_ca.py:75: source_id = \"realtor_ag_ca\"\nimmoka/connectors/remax_agences.py:245: {\"source_id\": _sid, \"domain\": _dom, \"agency_name\": _name, \"platform\": _plat},\nimmoka/connectors/remax_quebec.py:38: source_id = \"remax_quebec\"\nimmoka/connectors/royal_lepage.py:69: source_id = \"royal_lepage\"\nimmoka/connectors/sothebys_quebec.py:58: source_id = \"sothebys_quebec\"\nimmoka/connectors/sourceimmo.py:60: \"\"\"Base : définir source_id, account_id, api_key, app_id, view_id, site_url.\"\"\"\nimmoka/connectors/sutton.py:52: source_id = \"sutton\"\nimmoka/connectors/ubee.py:196: source_id = \"ubee\"\nimmoka/connectors/vendirect.py:16: source_id = \"vendirect\"\nimmoka/connectors/vendre_ca.py:56: source_id = \"vendre_ag_ca\"\nimmoka/connectors/via_capitale.py:87: source_id = \"via_capitale\"\nimmoka/connectors/via_capitale_agences.py:85: \"source_id\": _sid,","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"15e2d56f-6a83-41d7-a0da-031be099385d","timestamp":"2026-08-23T05:05:12.345Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bdPkyTymTvXPe1sb4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ri6QamHjWW1TCPdqbX6z6Q","name":"Bash","input":{"command":"for c in $(cat /tmp/trilogis_chunks.txt); do curl -s \"https://trilogis.ca$c\"; done > /tmp/trilogis_all_chunks.js; wc -c /tmp/trilogis_all_chunks.js; grep -oE 'eyJ[A-Za-z0-9_-]+\\.eyJ[A-Za-z0-9_-]+\\.[A-Za-z0-9_-]+' /tmp/trilogis_all_chunks.js | sort -u | head -5","description":"Download JS chunks and search for Supabase anon JWT"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3092,"cache_read_input_tokens":44956,"cache_creation":{"ephemeral_5m_input_tokens":3092,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5bc381de-1c45-425c-8f3b-1b107ba058fe","request_id":"req_011CeK6bbg5Yu6e8Va2BtuzE","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Download JS chunks and search for Supabase anon JWT","subagent_type":"general-purpose","usage":{"total_tokens":48166,"tool_uses":11,"duration_ms":69627},"last_tool_name":"Bash","uuid":"be1456fa-8304-4d71-b69a-049bccab6bca","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bvtDui1cUcbCLrXqV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MkXY6xwf8GjRenepwCP6qF","name":"Bash","input":{"command":"ssh M4M64b 'sed -n \"260,340p\" ~/auto-ka/autoka/web.py'","description":"Read auto-ka /api/stats route"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":3292,"cache_read_input_tokens":20743,"cache_creation":{"ephemeral_5m_input_tokens":3292,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3da4559a-846c-49ce-995c-2ac51a508f87","request_id":"req_011CeK6buGVTPMJRKq8Wix9V","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Read auto-ka /api/stats route","subagent_type":"general-purpose","usage":{"total_tokens":24593,"tool_uses":3,"duration_ms":15533},"last_tool_name":"Bash","uuid":"fddd81fb-fdbb-4ede-b6c2-1b45e9592880","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MkXY6xwf8GjRenepwCP6qF","type":"tool_result","content":"def stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT source) sources,\n COUNT(DISTINCT region) regions,\n AVG(price) avg_price,\n AVG(mileage_km) avg_km,\n AVG(year) avg_year\n FROM vehicles WHERE active=1 AND kind='auto'\n AND dup_of IS NULL\"\"\").fetchone()\n by_region = [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n, ROUND(AVG(price)) avg_price FROM vehicles\"\n \" WHERE active=1 AND kind='auto' AND dup_of IS NULL\"\n \" AND region<>'' GROUP BY region ORDER BY n DESC\")]\n by_make = [dict(r) for r in con.execute(\n \"SELECT make, COUNT(*) n, ROUND(AVG(price)) avg_price FROM vehicles\"\n \" WHERE active=1 AND kind='auto' AND dup_of IS NULL\"\n \" AND make<>'' GROUP BY make ORDER BY n DESC LIMIT 20\")]\n by_body = [dict(r) for r in con.execute(\n \"SELECT body_type, COUNT(*) n FROM vehicles WHERE active=1 AND kind='auto'\"\n \" AND dup_of IS NULL\"\n \" AND body_type<>'' GROUP BY body_type ORDER BY n DESC\")]\n # baisses de prix récentes (signal d'aubaine)\n drops = [dict(r) for r in con.execute(\n \"\"\"SELECT v.uid, v.title, v.year, v.price, v.images, v.dealer_name, v.city,\n p.prev_price\n FROM vehicles v JOIN (\n SELECT uid, price prev_price,\n ROW_NUMBER() OVER (PARTITION BY uid ORDER BY ts DESC) rn\n FROM price_log) p ON p.uid=v.uid AND p.rn=2\n WHERE v.active=1 AND kind='auto' AND v.dup_of IS NULL\n AND v.price IS NOT NULL AND p.prev_price > v.price\n ORDER BY (p.prev_price - v.price) DESC LIMIT 12\"\"\")]\n for d in drops:\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")[:1]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # enrichissements vague 2 : doublons VIN masqués, rappels TC, dealers\n extra = {\"vin_duplicates_masked\": con.execute(\n \"SELECT COUNT(*) c FROM vehicles WHERE active=1 AND dup_of IS NOT NULL\"\n ).fetchone()[\"c\"]}\n for key, query in (\n (\"recalls_total\", \"SELECT COUNT(DISTINCT recall_number) c FROM recalls\"),\n (\"dealers_total\", \"SELECT COUNT(*) c FROM dealers\")):\n try:\n extra[key] = con.execute(query).fetchone()[\"c\"]\n except Exception: # table pas encore créée\n extra[key] = 0\n con.close()\n return {**dict(row), **extra, \"by_region\": by_region, \"by_make\": by_make,\n \"by_body\": by_body, \"price_drops\": drops, \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats complets du marché (source unique : autoka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat ka/stats/SPEC.md) ----------------\n\nKA_SITE = {\n \"wordmark\": \"Auto·Ka\",\n \"accent\": \"#ff5a2a\",\n \"domain\": \"www.auto-ka.com\",\n \"tagline\": \"Voitures usagées · tout le Québec · toujours à jour\",\n}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n):\n \"\"\"Tableau de bord analytique — contrat commun Groupe KA (cache 5 min).\"\"\"\n from . import statsdash\n try:\n return statsdash.dashboard(period, from_, to)","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d28f726a-b139-469a-91ff-2c3c4bfee897","timestamp":"2026-08-23T05:05:12.972Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6brnRA2xg4SpFaHQGe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DSB5PKE444MS2d9LZgijQP","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sed -n \"40,110p\" fabrika/db.py; echo \"----\"; sed -n \"240,275p\" fabrika/db.py'","description":"Read db.py schema and log_sync"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3049,"cache_read_input_tokens":28580,"cache_creation":{"ephemeral_5m_input_tokens":3049,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"32a3a32c-3047-4bba-a728-e872fc94e5f4","request_id":"req_011CeK6bq219S8V5zN2gHY7P","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Read db.py schema and log_sync","subagent_type":"general-purpose","usage":{"total_tokens":31726,"tool_uses":7,"duration_ms":34311},"last_tool_name":"Bash","uuid":"ef4fe7c2-11c4-4e93-8880-a3009dd7896f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DSB5PKE444MS2d9LZgijQP","type":"tool_result","content":" product_count INTEGER DEFAULT 0\n);\nCREATE TABLE IF NOT EXISTS products (\n uid TEXT PRIMARY KEY,\n store_id TEXT NOT NULL,\n external_id TEXT NOT NULL,\n url TEXT,\n title TEXT,\n description TEXT,\n price REAL,\n price_max REAL,\n compare_at_price REAL,\n currency TEXT,\n images TEXT, -- JSON\n category TEXT,\n product_type TEXT,\n tags TEXT, -- JSON\n vendor TEXT,\n available INTEGER,\n details TEXT, -- JSON : avis, dimensions, matériaux, variantes…\n content_hash TEXT,\n first_seen REAL,\n last_seen REAL,\n active INTEGER DEFAULT 1,\n miss_count INTEGER DEFAULT 0\n);\nCREATE INDEX IF NOT EXISTS idx_products_store ON products(store_id);\nCREATE INDEX IF NOT EXISTS idx_products_cat ON products(category);\nCREATE INDEX IF NOT EXISTS idx_products_active ON products(active);\nCREATE INDEX IF NOT EXISTS idx_products_pub_cover ON products(category, store_id, price, first_seen) WHERE active=1 AND listing_status='published';\nCREATE INDEX IF NOT EXISTS idx_products_fs_cover ON products(first_seen, store_id, category, price);\nCREATE TABLE IF NOT EXISTS sync_log (\n ts REAL, store_id TEXT, found INTEGER, added INTEGER,\n updated INTEGER, removed INTEGER, status TEXT, message TEXT\n);\nCREATE VIRTUAL TABLE IF NOT EXISTS products_fts USING fts5(\n uid UNINDEXED, title, description, tags, vendor, store_name,\n tokenize = 'unicode61 remove_diacritics 2'\n);\n\"\"\"\n\n\ndef connect() -> sqlite3.Connection:\n DB_PATH.parent.mkdir(parents=True, exist_ok=True)\n # L'initialisation du schéma (executescript) peut être refusée pendant\n # qu'un autre processus écrit (sync massive) : on retente avec délai\n # croissant plutôt que d'échouer immédiatement.\n last_exc = None\n for attempt in range(8):\n con = sqlite3.connect(DB_PATH, timeout=60)\n con.execute(\"PRAGMA busy_timeout=60000\")\n con.row_factory = sqlite3.Row\n try:\n con.executescript(_SCHEMA)\n # migrations additives (colonnes ajoutées après la création)\n cols = {r[1] for r in con.execute(\"PRAGMA table_info(products)\")}\n if \"details\" not in cols:\n con.execute(\"ALTER TABLE products ADD COLUMN details TEXT\")\n if \"listing_status\" not in cols:\n con.execute(\"ALTER TABLE products ADD COLUMN listing_status TEXT DEFAULT 'published'\")\n con.execute(\"CREATE INDEX IF NOT EXISTS idx_products_listing ON products(listing_status)\")\n if \"price_on_request\" not in cols:\n con.execute(\"ALTER TABLE products ADD COLUMN price_on_request INTEGER DEFAULT 0\")\n scols = {r[1] for r in con.execute(\"PRAGMA table_info(stores)\")}\n for col, typ in ((\"shipping_info\", \"TEXT\"), (\"email\", \"TEXT\"),\n (\"phone\", \"TEXT\"), (\"postal_prefix\", \"TEXT\"),\n (\"lat\", \"REAL\"), (\"lng\", \"REAL\"),\n (\"store_kind\", \"TEXT\"),\n # vague 4 : certifications structurées (JSON) +\n # détection des ateliers présumés fermés\n (\"certifications\", \"TEXT\"),\n----\n\n # purge/réinsertion FTS par lots (1 balayage par lot de 500 au lieu de N)\n for i in range(0, len(fts_del), 500):\n chunk = fts_del[i:i + 500]\n con.execute(\"DELETE FROM products_fts WHERE uid IN (%s)\"\n % \",\".join(\"?\" * len(chunk)), chunk)\n if fts_add:\n con.executemany(\"INSERT INTO products_fts (uid, title, description, tags, \"\n \"vendor, store_name) VALUES (?,?,?,?,?,?)\", fts_add)\n\n con.execute(\"UPDATE stores SET last_sync=?, product_count=\"\n \"(SELECT COUNT(*) FROM products WHERE store_id=? AND active=1 \"\n \"AND listing_status='published') WHERE id=?\",\n (now, store_id, store_id))\n return added, updated, removed\n\n\ndef log_sync(con, store_id, found, added, updated, removed, status, message=\"\"):\n con.execute(\"INSERT INTO sync_log VALUES (?,?,?,?,?,?,?,?)\",\n (time.time(), store_id, found, added, updated, removed, status, message[:300]))\n con.execute(\"UPDATE stores SET last_status=? WHERE id=?\", (status, store_id))","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"82642628-4161-40fa-b64d-5369eb0dadb4","timestamp":"2026-08-23T05:05:13.592Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bvtDui1cUcbCLrXqV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LMFRCo3A84gCqnyDCZrUC3","name":"Bash","input":{"command":"ssh M4M64b 'sed -n \"190,260p\" ~/apps/food-ka/foodka/web.py'","description":"Read food-ka /api/stats route"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":518,"cache_creation_input_tokens":3292,"cache_read_input_tokens":20743,"cache_creation":{"ephemeral_5m_input_tokens":3292,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"eeabb188-d4fd-4f3b-8a8c-018d4e934d32","request_id":"req_011CeK6buGVTPMJRKq8Wix9V","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Read food-ka /api/stats route","subagent_type":"general-purpose","usage":{"total_tokens":24613,"tool_uses":4,"duration_ms":16315},"last_tool_name":"Bash","uuid":"d9d4de61-342e-4b26-9588-959f67fa9605","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LMFRCo3A84gCqnyDCZrUC3","type":"tool_result","content":" con.close()\n for s in registry:\n s[\"active_products\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n SUM(on_sale) on_sale,\n COUNT(DISTINCT source) sources,\n COUNT(DISTINCT category) categories,\n AVG(price) avg_price\n FROM products WHERE active=1\"\"\").fetchone()\n by_source = [dict(r) for r in con.execute(\n \"\"\"SELECT source, COUNT(*) n, SUM(on_sale) sales, AVG(price) avg_price\n FROM products WHERE active=1 GROUP BY source ORDER BY n DESC\"\"\")]\n by_category = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n, AVG(price) avg_price\n FROM products WHERE active=1 AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n # meilleures aubaines du moment (rabais relatif le plus fort)\n deals = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT * FROM products\n WHERE active=1 AND regular_price IS NOT NULL AND price IS NOT NULL\n ORDER BY (regular_price - price) / regular_price DESC LIMIT 24\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # rapprochement inter-bannières + enrichissement nutritionnel (vague 2)\n matching_stats = {\n \"groups\": con.execute(\n \"SELECT COUNT(DISTINCT group_id) c FROM product_links\").fetchone()[\"c\"],\n \"linked_products\": con.execute(\n \"SELECT COUNT(*) c FROM product_links\").fetchone()[\"c\"],\n }\n nutrition_stats = {\n \"off_matched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache WHERE found=1\").fetchone()[\"c\"],\n \"off_searched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache\").fetchone()[\"c\"],\n \"products_with_off\": con.execute(\n \"SELECT COUNT(*) c FROM products WHERE active=1\"\n \" AND details LIKE '%\\\"off\\\"%'\").fetchone()[\"c\"],\n }\n con.close()\n return {**dict(row), \"by_source\": by_source, \"by_category\": by_category,\n \"matching\": matching_stats, \"nutrition\": nutrition_stats,\n \"deals\": deals, \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : foodka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n period: str = \"30j\",\n from_date: str | None = Query(None, alias=\"from\"),\n to_date: str | None = Query(None, alias=\"to\"),\n):\n \"\"\"Tableau de bord analytique — contrat commun ka-ui/stats/SPEC.md.\n\n Périodes : auj|7j|30j|3m|6m|12m|annee|tout, ou plage personnalisée\n from/to (YYYY-MM-DD). Cache serveur : 5 minutes par période.\"\"\"\n from . import statsdash","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8156457e-7827-4076-ba44-eb591ac56cf4","timestamp":"2026-08-23T05:05:13.761Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ri6QamHjWW1TCPdqbX6z6Q","type":"tool_result","content":" 973022 /tmp/trilogis_all_chunks.js","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"169487a4-f4d2-485a-badc-d0ac06653277","timestamp":"2026-08-23T05:05:13.958Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6brnRA2xg4SpFaHQGe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JDqDbmkK26am958qt1aKAm","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sqlite3 data/fabrika.db \"SELECT COUNT(*) FROM products WHERE active=1 AND listing_status=\\\"published\\\"; SELECT COUNT(*) FROM stores; SELECT COUNT(*) FROM stores WHERE product_count>0; SELECT COUNT(*) FROM sync_log; SELECT datetime(MIN(ts),\\\"unixepoch\\\",\\\"localtime\\\"), datetime(MAX(ts),\\\"unixepoch\\\",\\\"localtime\\\") FROM sync_log;\"'","description":"Get current product/store totals and sync_log range"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3049,"cache_read_input_tokens":28580,"cache_creation":{"ephemeral_5m_input_tokens":3049,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"90871b2b-1c86-406c-b41d-cdebe15cf766","request_id":"req_011CeK6bq219S8V5zN2gHY7P","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Get current product/store totals and sync_log range","subagent_type":"general-purpose","usage":{"total_tokens":31729,"tool_uses":8,"duration_ms":36146},"last_tool_name":"Bash","uuid":"1831cf0d-fd3e-4b01-bc4b-f5dd72ee5180","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6bdPkyTymTvXPe1sb4","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014KUuARTujJ1iaJoauKWgd4","name":"Bash","input":{"command":"curl -s -o /tmp/trilogis_detail.html -w \"%{http_code}\\n\" \"https://trilogis.ca/a-louer/60-12_perreault-e\" && python3 - <<'EOF'\nimport re, json\nhtml = open('/tmp/trilogis_detail.html').read()\npushes = re.findall(r'self\\.__next_f\\.push\\(\\[1,\\s*\"(.*?)\"\\]\\)', html, re.S)\nblob = \"\".join(json.loads('\"%s\"' % p) for p in pushes)\n# look for unit object with description\ni = blob.find('\"unit\":')\nif i < 0: i = blob.find('\"unit_id\"')\nprint(blob[max(0,i-200):i+2500].replace('\\\\n','\\n')[:3000])\nEOF","description":"Fetch unit detail page and inspect RSC"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3092,"cache_read_input_tokens":44956,"cache_creation":{"ephemeral_5m_input_tokens":3092,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0ee85310-ee3b-4180-b971-0c4597394eb1","request_id":"req_011CeK6bbg5Yu6e8Va2BtuzE","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Fetch unit detail page and inspect RSC","subagent_type":"general-purpose","usage":{"total_tokens":48168,"tool_uses":12,"duration_ms":72338},"last_tool_name":"Bash","uuid":"51a67362-7c56-4420-99ba-1d07816d86e4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JDqDbmkK26am958qt1aKAm","type":"tool_result","content":"355152\n4082\n1501\n52452\n2026-08-12 09:51:11|2026-08-23 01:05:06","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1be84cfc-78c6-4489-8214-433d662fd792","timestamp":"2026-08-23T05:05:15.589Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} 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connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6c3V6yQXJJB22YFXuB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TtBmFD4WdBbzbtnKgYFZHb","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/connector_health.py","old_string":"# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0","new_string":"# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\n# Fenêtre de journal de sync demandée aux apps sœurs (heures). Les apps ne\n# renvoient par défaut que ~20 entrées (~11 min d'activité pour lou-ka et ses\n# ~200 sources) alors qu'on polle toutes les 2 h : la quasi-totalité des\n# sources n'était jamais observée → fausses alertes « stale » de masse\n# (incident du 2026-08-22 : 195 stale, dont 82 lou-ka qui synchronisaient\n# pourtant avec succès). Les apps qui ne connaissent pas encore le paramètre\n# l'ignorent (FastAPI) et gardent le comportement historique.\nSYNC_WINDOW_HOURS = 6"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":376,"cache_read_input_tokens":168128,"cache_creation":{"ephemeral_5m_input_tokens":376,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e5eb31d6-d5c4-4b66-a437-f35c99290a28","request_id":"req_011CeK6bzUGxsNiAQLUmZL8S"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TtBmFD4WdBbzbtnKgYFZHb","type":"tool_result","content":"The file /tmp/apika-fix/connector_health.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a9ccb18e-612f-4c58-a6ac-9de068bda876","timestamp":"2026-08-23T05:05:16.702Z","tool_use_result":{"filePath":"/tmp/apika-fix/connector_health.py","oldString":"# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0","newString":"# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\n# Fenêtre de journal de sync demandée aux apps sœurs (heures). Les apps ne\n# renvoient par défaut que ~20 entrées (~11 min d'activité pour lou-ka et ses\n# ~200 sources) alors qu'on polle toutes les 2 h : la quasi-totalité des\n# sources n'était jamais observée → fausses alertes « stale » de masse\n# (incident du 2026-08-22 : 195 stale, dont 82 lou-ka qui synchronisaient\n# pourtant avec succès). Les apps qui ne connaissent pas encore le paramètre\n# l'ignorent (FastAPI) et gardent le comportement historique.\nSYNC_WINDOW_HOURS = 6","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/monitoring/connector_health.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-18\n# ============================================\n\"\"\"Supervision centralisée des connecteurs des 9 apps de l'écosystème KA.\n\nToutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\nlecture seule, timeout 5 s) et en déduit un état par source quand le détail\nexiste (``recent_syncs`` / ``sync_log``), plus un état global par app\n(source virtuelle ``_app``). L'échec d'une app n'interrompt jamais le job.\n\nRègles de classement :\n\n- ``broken`` : ≥ 3 synchros consécutives en échec ou à 0 résultat\n (ou app injoignable 3 fois de suite) ;\n- ``stale`` : aucun sync réussi depuis > 2× la cadence attendue du service\n (au niveau source, la cadence est multipliée par un facteur de\n rotation : les apps synchronisent leurs sources par lots, une\n source individuelle repasse donc moins souvent que l'app) ;\n- ``degraded`` : dernier volume < 50 % de la médiane observée, dernier sync en\n échec (< 3), ou app injoignable (< 3) ;\n- ``ok`` : sinon.\n\nAnti-spam : l'état précédent est mémorisé dans la table ``connector_health``\n(une ligne par couple service/source, upsert à chaque run) ; une alerte\nn'est écrite dans ``logs/alerts.log`` que lors d'une TRANSITION vers\n``broken`` ou ``stale``.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport datetime\nimport math\nimport statistics\nimport time\nfrom dataclasses import dataclass, field\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom sqlalchemy import select\n\nfrom src.config import SERVICES, get_settings\nfrom src.database.db import session_scope\nfrom src.database.models import ConnectorHealth\nfrom src.utils.logger import alert, get_logger\n\n# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\nSTATUS_OK = \"ok\"\nSTATUS_DEGRADED = \"degraded\"\nSTATUS_BROKEN = \"broken\"\nSTATUS_STALE = \"stale\"\nALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n\n# broken après N échecs (ou 0 résultat) consécutifs.\nBROKEN_THRESHOLD = 3\n# degraded si volume < 50 % de la médiane.\nDEGRADED_RATIO = 0.5\n# stale si aucun succès depuis > 2× la cadence attendue.\nSTALE_FACTOR = 2\n\n# Cadence de sync attendue par service (heures).\nEXPECTED_CADENCE_HOURS: dict[str, float] = {\n \"louka\": 1,\n \"immoka\": 4,\n \"autoka\": 2,\n \"foodka\": 6,\n \"fabrika\": 6,\n \"sortika\": 1,\n \"creaka\": 24,\n \"restoka\": 168,\n \"jobka\": 1,\n}\n\n\n@dataclass\nclass SyncEntry:\n \"\"\"Une entrée de journal de sync exposée par une app sœur.\"\"\"\n\n ts: float\n found: int\n ok: bool\n message: str = \"\"\n\n\n@dataclass\nclass SourceState:\n \"\"\"État précédent d'un connecteur (relu depuis ``connector_health``).\"\"\"\n\n status: str | None = None\n last_success: datetime.datetime | None = None\n found_last: int | None = None\n median_found: float | None = None\n consecutive_failures: int = 0\n checked_at: datetime.datetime | None = None\n\n\n@dataclass\nclass Assessment:\n \"\"\"Résultat du classement d'un connecteur pour le run courant.\"\"\"\n\n status: str\n last_success: datetime.datetime | None\n found_last: int | None\n median_found: float | None\n consecutive_failures: int\n message: str = \"\"\n entries: list[SyncEntry] = field(default_factory=list)\n\n\ndef _utc(ts: float) -> datetime.datetime:\n return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n\n\ndef assess_source(\n entries: list[SyncEntry],\n prev: SourceState,\n now: float,\n stale_after_seconds: float,\n) -> Assessment:\n \"\"\"Classe un connecteur : broken > stale > degraded > ok.\n\n Fonction pure (testable) : combine les entrées de la fenêtre courante\n avec l'état précédent (streak d'échecs, dernier succès, médiane glissante).\n \"\"\"\n entries = sorted(entries, key=lambda e: e.ts, reverse=True)\n\n # Streak d'échecs : seules les entrées jamais vues (postérieures au dernier\n # passage) alimentent le compteur, du plus ancien au plus récent.\n prev_checked_ts = prev.checked_at.timestamp() if prev.checked_at else None\n new_entries = [\n e for e in entries if prev_checked_ts is None or e.ts > prev_checked_ts\n ]\n consecutive_failures = prev.consecutive_failures\n for entry in reversed(new_entries):\n if not entry.ok or entry.found <= 0:\n consecutive_failures += 1\n else:\n consecutive_failures = 0\n\n # Dernier sync réussi (ok ET au moins un résultat).\n last_success = prev.last_success\n for entry in entries:\n if entry.ok and entry.found > 0:\n candidate = _utc(entry.ts)\n if last_success is None or candidate > last_success:\n last_success = candidate\n break\n\n # Médiane glissante du volume (entrées ok de la fenêtre + médiane passée).\n ok_founds = [float(e.found) for e in entries if e.ok]\n values = ok_founds + (\n [float(prev.median_found)] if prev.median_found is not None else []\n )\n median_found = statistics.median(values) if values else None\n\n found_last = entries[0].found if entries else prev.found_last\n\n last_message = next((e.message for e in entries if e.message), \"\")\n\n if consecutive_failures >= BROKEN_THRESHOLD:\n message = (\n f\"{consecutive_failures} synchros consécutives en échec ou à 0 résultat\"\n )\n if last_message and last_message != \"ok\":\n message += f\" (dernier message : {last_message})\"\n status = STATUS_BROKEN\n elif last_success is not None and (now - last_success.timestamp()) > stale_after_seconds:\n hours = (now - last_success.timestamp()) / 3600\n message = (\n f\"aucun sync réussi depuis {hours:.1f} h \"\n f\"(seuil : {stale_after_seconds / 3600:.0f} h)\"\n )\n status = STATUS_STALE\n elif last_success is None:\n status = STATUS_DEGRADED\n message = \"aucun sync réussi observé pour l'instant\"\n elif entries and not entries[0].ok:\n status = STATUS_DEGRADED\n message = (\n f\"dernier sync en échec ({consecutive_failures}/{BROKEN_THRESHOLD})\"\n )\n if last_message and last_message != \"ok\":\n message += f\" — {last_message}\"\n elif (\n found_last is not None\n and median_found\n and found_last < DEGRADED_RATIO * median_found\n ):\n status = STATUS_DEGRADED\n message = (\n f\"volume {found_last} < 50 % de la médiane ({median_found:.0f})\"\n )\n else:\n status = STATUS_OK\n message = \"ok\"\n\n return Assessment(\n status=status,\n last_success=last_success,\n found_last=found_last,\n median_found=median_found,\n consecutive_failures=consecutive_failures,\n message=message,\n entries=entries,\n )\n\n\ndef assess_unreachable(prev: SourceState, error: str) -> Assessment:\n \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n consecutive_failures = prev.consecutive_failures + 1\n status = (\n STATUS_BROKEN if consecutive_failures >= BROKEN_THRESHOLD else STATUS_DEGRADED\n )\n return Assessment(\n status=status,\n last_success=prev.last_success,\n found_last=prev.found_last,\n median_found=prev.median_found,\n consecutive_failures=consecutive_failures,\n message=f\"GET /api/stats injoignable ({error})\",\n )\n\n\ndef parse_sync_entries(payload: dict[str, Any]) -> dict[str, list[SyncEntry]]:\n \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n\n Comprend les deux formats observés dans l'écosystème :\n ``recent_syncs`` (lou-ka, immo-ka, auto-ka, food-ka, resto-ka, job-ka) et\n ``sync_log`` par magasin (fabri-ka, clé ``store_id`` + ``status``).\n \"\"\"\n raw = payload.get(\"recent_syncs\") or payload.get(\"sync_log\") or []\n by_source: dict[str, list[SyncEntry]] = {}\n for item in raw:\n if not isinstance(item, dict):\n continue\n source = item.get(\"source\") or item.get(\"store_id\")\n if not source:\n continue\n if \"ok\" in item:\n ok = bool(item.get(\"ok\"))\n else:\n ok = str(item.get(\"status\", \"ok\")).lower() == \"ok\"\n try:\n entry = SyncEntry(\n ts=float(item.get(\"ts\") or 0),\n found=int(item.get(\"found\") or 0),\n ok=ok,\n message=str(item.get(\"message\") or \"\"),\n )\n except (TypeError, ValueError):\n continue\n by_source.setdefault(str(source), []).append(entry)\n return by_source\n\n\n_GLOBAL_TOTAL_KEYS = (\"total_active\", \"total\", \"creators\", \"restaurants\")\n\n\ndef build_app_entry(\n service: str,\n payload: dict[str, Any],\n by_source: dict[str, list[SyncEntry]],\n now: float,\n) -> SyncEntry:\n \"\"\"Synthétise UNE entrée représentant l'état global de l'app.\n\n - apps avec journal de sync : agrégat de la fenêtre (ts le plus récent,\n somme des volumes ok) ;\n - crea-ka : ``last_sync`` global + total ``creators`` ;\n - sorti-ka (aucun horodatage exposé) : joignabilité + volume total.\n \"\"\"\n all_entries = [e for lst in by_source.values() for e in lst]\n if all_entries:\n return SyncEntry(\n ts=max(e.ts for e in all_entries),\n found=sum(e.found for e in all_entries if e.ok),\n ok=any(e.ok for e in all_entries),\n )\n\n last_sync = payload.get(\"last_sync\")\n if isinstance(last_sync, str) and last_sync:\n try:\n ts = datetime.datetime.fromisoformat(\n last_sync.replace(\"Z\", \"+00:00\")\n ).timestamp()\n except ValueError:\n ts = now\n total = _global_total(payload)\n return SyncEntry(ts=ts, found=total, ok=True, message=\"last_sync global\")\n\n # Fallback (ex. sorti-ka) : l'app ne publie aucun horodatage de sync.\n return SyncEntry(\n ts=now,\n found=_global_total(payload),\n ok=True,\n message=\"pas d'horodatage de sync exposé — joignabilité + volume total\",\n )\n\n\ndef _global_total(payload: dict[str, Any]) -> int:\n for key in _GLOBAL_TOTAL_KEYS:\n value = payload.get(key)\n if isinstance(value, (int, float)):\n return int(value)\n totals = payload.get(\"totals\")\n if isinstance(totals, dict):\n for value in totals.values():\n if isinstance(value, (int, float)):\n return int(value)\n return 0\n\n\ndef rotation_factor(\n payload: dict[str, Any], by_source: dict[str, list[SyncEntry]]\n) -> int:\n \"\"\"Facteur de rotation des sources : les apps synchronisent leurs sources\n par lots (fenêtre ~20 entrées pour parfois >100 sources). Une source\n individuelle repasse donc toutes les ``rotation × cadence`` heures environ ;\n le seuil de staleness par source en tient compte pour ne pas générer de\n fausses alertes de masse.\"\"\"\n window = sum(len(v) for v in by_source.values())\n hint = payload.get(\"sources\")\n if not isinstance(hint, (int, float)):\n totals = payload.get(\"totals\")\n hint = totals.get(\"stores_live\") if isinstance(totals, dict) else 0\n total = max(int(hint or 0), len(by_source))\n if window <= 0 or total <= 0:\n return 1\n return max(1, math.ceil(total / window))\n\n\ndef _stats_url(service: str) -> str | None:\n \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n source_url = get_settings().source_urls.get(service, \"\")\n if not source_url:\n return None\n parts = urlsplit(source_url)\n if not parts.scheme or not parts.netloc:\n return None\n return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n\n\ndef _fetch_stats(url: str) -> dict[str, Any]:\n \"\"\"GET /api/stats (lecture seule, timeout court).\"\"\"\n response = httpx.get(url, timeout=STATS_TIMEOUT_SECONDS, follow_redirects=True)\n response.raise_for_status()\n payload = response.json()\n if not isinstance(payload, dict):\n raise ValueError(\"payload /api/stats inattendu (dict requis)\")\n return payload\n\n\ndef _state_from_row(row: ConnectorHealth | None) -> SourceState:\n if row is None:\n return SourceState()\n return SourceState(\n status=row.status,\n last_success=_ensure_utc(row.last_success),\n found_last=row.found_last,\n median_found=row.median_found,\n consecutive_failures=row.consecutive_failures or 0,\n checked_at=_ensure_utc(row.checked_at),\n )\n\n\ndef _ensure_utc(value: datetime.datetime | None) -> datetime.datetime | None:\n if value is None:\n return None\n if value.tzinfo is None:\n return value.replace(tzinfo=datetime.UTC)\n return value\n\n\ndef _apply(\n session: Any,\n rows: dict[str, ConnectorHealth],\n service: str,\n source: str,\n assessment: Assessment,\n now: float,\n) -> str:\n \"\"\"Upsert de la ligne connector_health + alerte sur transition broken/stale.\"\"\"\n row = rows.get(source)\n previous_status = row.status if row is not None else None\n\n checked_at = _utc(now)\n if row is None:\n row = ConnectorHealth(service=service, source=source)\n session.add(row)\n rows[source] = row\n row.checked_at = checked_at\n row.status = assessment.status\n row.last_success = assessment.last_success\n row.found_last = assessment.found_last\n row.median_found = assessment.median_found\n row.consecutive_failures = assessment.consecutive_failures\n row.message = assessment.message\n\n if assessment.status in (STATUS_BROKEN, STATUS_STALE) and (\n previous_status != assessment.status\n ):\n alert(\n f\"[connecteurs] {service}/{source} : {assessment.status} — \"\n f\"{assessment.message}\"\n )\n return assessment.status\n\n\ndef _check_service(service: str, now: float) -> dict[str, Any]:\n \"\"\"Collecte et classe tous les connecteurs d'un service. Ne lève jamais\n pour cause d'app injoignable (l'échec est un état, pas une exception).\"\"\"\n url = _stats_url(service)\n if url is None:\n return {\"service\": service, \"skipped\": \"aucune SOURCE_URL configurée\"}\n\n cadence_seconds = EXPECTED_CADENCE_HOURS.get(service, 24) * 3600\n app_stale_after = STALE_FACTOR * cadence_seconds\n\n counts = dict.fromkeys(ALL_STATUSES, 0)\n\n try:\n payload = _fetch_stats(url)\n except Exception as exc: # httpx, JSON, payload inattendu…\n with session_scope() as session:\n rows = _load_rows(session, service)\n assessment = assess_unreachable(\n _state_from_row(rows.get(APP_SOURCE)), str(exc)\n )\n counts[_apply(session, rows, service, APP_SOURCE, assessment, now)] += 1\n return {\"service\": service, \"url\": url, \"reachable\": False, \"counts\": counts}\n\n by_source = parse_sync_entries(payload)\n app_entry = build_app_entry(service, payload, by_source, now)\n source_stale_after = app_stale_after * rotation_factor(payload, by_source)\n\n with session_scope() as session:\n rows = _load_rows(session, service)\n\n assessment = assess_source(\n [app_entry], _state_from_row(rows.get(APP_SOURCE)), now, app_stale_after\n )\n counts[_apply(session, rows, service, APP_SOURCE, assessment, now)] += 1\n\n for source, entries in by_source.items():\n assessment = assess_source(\n entries, _state_from_row(rows.get(source)), now, source_stale_after\n )\n counts[_apply(session, rows, service, source, assessment, now)] += 1\n\n # Sources connues mais absentes de la fenêtre courante : réévaluer la\n # staleness (le streak et la médiane restent inchangés).\n for source in list(rows):\n if source == APP_SOURCE or source in by_source:\n continue\n assessment = assess_source(\n [], _state_from_row(rows.get(source)), now, source_stale_after\n )\n counts[_apply(session, rows, service, source, assessment, now)] += 1\n\n return {\n \"service\": service,\n \"url\": url,\n \"reachable\": True,\n \"sources_in_window\": len(by_source),\n \"counts\": counts,\n }\n\n\ndef _load_rows(session: Any, service: str) -> dict[str, ConnectorHealth]:\n return {\n row.source: row\n for row in session.execute(\n select(ConnectorHealth).where(ConnectorHealth.service == service)\n ).scalars()\n }\n\n\ndef run_connector_health_check(now: float | None = None) -> dict[str, Any]:\n \"\"\"Point d'entrée du job (toutes les 2 h) : vérifie les 9 apps.\n\n L'échec d'une app (réseau, payload) ne fait jamais échouer le job.\n \"\"\"\n logger = get_logger(\"apika.monitoring\")\n now = now if now is not None else time.time()\n results: list[dict[str, Any]] = []\n for service in SERVICES:\n try:\n results.append(_check_service(service, now))\n except Exception as exc: # filet de sécurité (ex. DB) — jamais de crash\n logger.error(\n \"Échec de la supervision d'un service\",\n extra={\"service\": service, \"error\": str(exc)},\n )\n results.append({\"service\": service, \"error\": str(exc)})\n\n summary = {\n \"checked_at\": _utc(now).isoformat(),\n \"services\": results,\n }\n logger.info(\"Supervision des connecteurs terminée\", extra=summary)\n return summary\n\n\ndef main() -> None:\n \"\"\"Exécution manuelle : ``python -m src.monitoring.connector_health``.\"\"\"\n import json\n\n from src.database.db import init_db\n\n init_db()\n print(json.dumps(run_connector_health_check(), ensure_ascii=False, indent=2))\n\n\nif __name__ == \"__main__\":\n main()\n","structuredPatch":[{"oldStart":54,"oldLines":6,"newStart":54,"newLines":15,"lines":[" "," STATS_TIMEOUT_SECONDS = 5.0"," ","+# Fenêtre de journal de sync demandée aux apps sœurs (heures). Les apps ne","+# renvoient par défaut que ~20 entrées (~11 min d'activité pour lou-ka et ses","+# ~200 sources) alors qu'on polle toutes les 2 h : la quasi-totalité des","+# sources n'était jamais observée → fausses alertes « stale » de masse","+# (incident du 2026-08-22 : 195 stale, dont 82 lou-ka qui synchronisaient","+# pourtant avec succès). Les apps qui ne connaissent pas encore le paramètre","+# l'ignorent (FastAPI) et gardent le comportement historique.","+SYNC_WINDOW_HOURS = 6","+"," STATUS_OK = \"ok\""," STATUS_DEGRADED = \"degraded\""," STATUS_BROKEN = \"broken\""]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d52d43e7-a4ab-43a7-9a40-697e3681e646","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cL4zgd55KCQT46H2u","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS0wMKpwEIERgCKkB8jadFSIu0MW22+4loj5mVu8bNmthkS4L+SyP3CD+sz5HySpdiksQQucdYeLzYws/lusjFdo8gKLLxIa6cQBE4Mg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAGO/6nUBrABAhIM3jX1rz9qvxJjri/GGgyWEed2NKAfppTaNLUiMAdY8OO+8QkoVOGdyP93Myg09w8zMvb48XWWx8kQZV9pF4UDb4iNX0wMeMsirRmBMirYAbQ0A7pW4B19qk+q/vwjy+h54KABBjICLRtv3YhgmTtN0biwtPQNE4tOm3/jyNrM11ZwcuxVElLH1Oa3Zmc7GFPjRLXDJIqbBwmkE4Y6c5G3UfCjN03OYvp1IvAe/U/vdq/XzW2fxDcGrcnY4eqxIDcjAmIagjI1ghfdh4fLqr/ql0QmBgiGD4SRT1LYbnJbiWdNmsZeGiEj3e+6UceLJVxnzFmDAiqCl93Dmjt9uC95Kbqf0P1qshMTo05umBDgL8IvomW7BWe9lc6zVYQvgpnwGJSCFbYiCRgB"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1698,"cache_read_input_tokens":32501,"cache_creation":{"ephemeral_5m_input_tokens":1698,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7e0182ec-db28-467a-8694-a74fc7e2f8a8","request_id":"req_011CeK6cJcSK1taEf7vHL2A8","subagent_type":"general-purpose","task_description":"Réparer 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cRkZ4x94ryEA2ph5c","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":3604,"cache_read_input_tokens":24035,"cache_creation":{"ephemeral_5m_input_tokens":3604,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"45d00fc2-f8a9-4519-b05e-45e808820f89","request_id":"req_011CeK6cQW9PLos7Eoifsc1U","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cL4zgd55KCQT46H2u","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WKtTo6Mx3jzZ3ar7V6MYEi","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && grep -n -i \"nid\" immoka/connectors/agences_source_immo.py immoka/connectors/century21_agences.py immoka/connectors/remax_agences.py immoka/connectors/via_capitale_agences.py'","description":"Find niddamour agency entry"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1698,"cache_read_input_tokens":32501,"cache_creation":{"ephemeral_5m_input_tokens":1698,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"90eef756-049a-4476-9c6d-d30b8012c476","request_id":"req_011CeK6cJcSK1taEf7vHL2A8","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Find niddamour agency entry","subagent_type":"general-purpose","usage":{"total_tokens":34357,"tool_uses":12,"duration_ms":60667},"last_tool_name":"Bash","uuid":"67ee6e42-67ee-4a61-af9e-c19334433952","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1","is_error":true,"tool_use_id":"toolu_01WKtTo6Mx3jzZ3ar7V6MYEi"}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"90dc349e-3ad3-4ddf-8ee1-89834d78ce00","timestamp":"2026-08-23T05:05:20.124Z","tool_use_result":"Error: Exit code 1","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cgPd59h1VPYizJntJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01A1nYThx1nJHASkVmUi3Tnv","name":"Edit","input":{"replace_all":false,"file_path":"/tmp/apika-fix/connector_health.py","old_string":" return f\"{parts.scheme}://{parts.netloc}/api/stats\"","new_string":" return f\"{parts.scheme}://{parts.netloc}/api/stats?syncs_since_h={SYNC_WINDOW_HOURS}\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":309,"cache_creation_input_tokens":545,"cache_read_input_tokens":168504,"cache_creation":{"ephemeral_5m_input_tokens":545,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e10bccee-ceb1-4792-8c53-c7c7f7d07b83","request_id":"req_011CeK6cdHbAVBF55qX5wdVz"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01A1nYThx1nJHASkVmUi3Tnv","type":"tool_result","content":"The file /tmp/apika-fix/connector_health.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6dd32c7c-b2ab-485f-9529-223559a79c03","timestamp":"2026-08-23T05:05:20.842Z","tool_use_result":{"filePath":"/tmp/apika-fix/connector_health.py","oldString":" return f\"{parts.scheme}://{parts.netloc}/api/stats\"","newString":" return f\"{parts.scheme}://{parts.netloc}/api/stats?syncs_since_h={SYNC_WINDOW_HOURS}\"","originalFile":"# ============================================\n# Projet : API-KA\n# Fichier : src/monitoring/connector_health.py\n# Node : m3u96b\n# Author : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Date : 2026-08-18\n# ============================================\n\"\"\"Supervision centralisée des connecteurs des 9 apps de l'écosystème KA.\n\nToutes les 2 h, le job lit le ``GET /api/stats`` de chaque app sœur (LAN,\nlecture seule, timeout 5 s) et en déduit un état par source quand le détail\nexiste (``recent_syncs`` / ``sync_log``), plus un état global par app\n(source virtuelle ``_app``). L'échec d'une app n'interrompt jamais le job.\n\nRègles de classement :\n\n- ``broken`` : ≥ 3 synchros consécutives en échec ou à 0 résultat\n (ou app injoignable 3 fois de suite) ;\n- ``stale`` : aucun sync réussi depuis > 2× la cadence attendue du service\n (au niveau source, la cadence est multipliée par un facteur de\n rotation : les apps synchronisent leurs sources par lots, une\n source individuelle repasse donc moins souvent que l'app) ;\n- ``degraded`` : dernier volume < 50 % de la médiane observée, dernier sync en\n échec (< 3), ou app injoignable (< 3) ;\n- ``ok`` : sinon.\n\nAnti-spam : l'état précédent est mémorisé dans la table ``connector_health``\n(une ligne par couple service/source, upsert à chaque run) ; une alerte\nn'est écrite dans ``logs/alerts.log`` que lors d'une TRANSITION vers\n``broken`` ou ``stale``.\n\"\"\"\n\nfrom __future__ import annotations\n\nimport datetime\nimport math\nimport statistics\nimport time\nfrom dataclasses import dataclass, field\nfrom typing import Any\nfrom urllib.parse import urlsplit\n\nimport httpx\nfrom sqlalchemy import select\n\nfrom src.config import SERVICES, get_settings\nfrom src.database.db import session_scope\nfrom src.database.models import ConnectorHealth\nfrom src.utils.logger import alert, get_logger\n\n# Source virtuelle représentant l'état global d'une app.\nAPP_SOURCE = \"_app\"\n\nSTATS_TIMEOUT_SECONDS = 5.0\n\n# Fenêtre de journal de sync demandée aux apps sœurs (heures). Les apps ne\n# renvoient par défaut que ~20 entrées (~11 min d'activité pour lou-ka et ses\n# ~200 sources) alors qu'on polle toutes les 2 h : la quasi-totalité des\n# sources n'était jamais observée → fausses alertes « stale » de masse\n# (incident du 2026-08-22 : 195 stale, dont 82 lou-ka qui synchronisaient\n# pourtant avec succès). Les apps qui ne connaissent pas encore le paramètre\n# l'ignorent (FastAPI) et gardent le comportement historique.\nSYNC_WINDOW_HOURS = 6\n\nSTATUS_OK = \"ok\"\nSTATUS_DEGRADED = \"degraded\"\nSTATUS_BROKEN = \"broken\"\nSTATUS_STALE = \"stale\"\nALL_STATUSES = (STATUS_OK, STATUS_DEGRADED, STATUS_BROKEN, STATUS_STALE)\n\n# broken après N échecs (ou 0 résultat) consécutifs.\nBROKEN_THRESHOLD = 3\n# degraded si volume < 50 % de la médiane.\nDEGRADED_RATIO = 0.5\n# stale si aucun succès depuis > 2× la cadence attendue.\nSTALE_FACTOR = 2\n\n# Cadence de sync attendue par service (heures).\nEXPECTED_CADENCE_HOURS: dict[str, float] = {\n \"louka\": 1,\n \"immoka\": 4,\n \"autoka\": 2,\n \"foodka\": 6,\n \"fabrika\": 6,\n \"sortika\": 1,\n \"creaka\": 24,\n \"restoka\": 168,\n \"jobka\": 1,\n}\n\n\n@dataclass\nclass SyncEntry:\n \"\"\"Une entrée de journal de sync exposée par une app sœur.\"\"\"\n\n ts: float\n found: int\n ok: bool\n message: str = \"\"\n\n\n@dataclass\nclass SourceState:\n \"\"\"État précédent d'un connecteur (relu depuis ``connector_health``).\"\"\"\n\n status: str | None = None\n last_success: datetime.datetime | None = None\n found_last: int | None = None\n median_found: float | None = None\n consecutive_failures: int = 0\n checked_at: datetime.datetime | None = None\n\n\n@dataclass\nclass Assessment:\n \"\"\"Résultat du classement d'un connecteur pour le run courant.\"\"\"\n\n status: str\n last_success: datetime.datetime | None\n found_last: int | None\n median_found: float | None\n consecutive_failures: int\n message: str = \"\"\n entries: list[SyncEntry] = field(default_factory=list)\n\n\ndef _utc(ts: float) -> datetime.datetime:\n return datetime.datetime.fromtimestamp(ts, tz=datetime.UTC)\n\n\ndef assess_source(\n entries: list[SyncEntry],\n prev: SourceState,\n now: float,\n stale_after_seconds: float,\n) -> Assessment:\n \"\"\"Classe un connecteur : broken > stale > degraded > ok.\n\n Fonction pure (testable) : combine les entrées de la fenêtre courante\n avec l'état précédent (streak d'échecs, dernier succès, médiane glissante).\n \"\"\"\n entries = sorted(entries, key=lambda e: e.ts, reverse=True)\n\n # Streak d'échecs : seules les entrées jamais vues (postérieures au dernier\n # passage) alimentent le compteur, du plus ancien au plus récent.\n prev_checked_ts = prev.checked_at.timestamp() if prev.checked_at else None\n new_entries = [\n e for e in entries if prev_checked_ts is None or e.ts > prev_checked_ts\n ]\n consecutive_failures = prev.consecutive_failures\n for entry in reversed(new_entries):\n if not entry.ok or entry.found <= 0:\n consecutive_failures += 1\n else:\n consecutive_failures = 0\n\n # Dernier sync réussi (ok ET au moins un résultat).\n last_success = prev.last_success\n for entry in entries:\n if entry.ok and entry.found > 0:\n candidate = _utc(entry.ts)\n if last_success is None or candidate > last_success:\n last_success = candidate\n break\n\n # Médiane glissante du volume (entrées ok de la fenêtre + médiane passée).\n ok_founds = [float(e.found) for e in entries if e.ok]\n values = ok_founds + (\n [float(prev.median_found)] if prev.median_found is not None else []\n )\n median_found = statistics.median(values) if values else None\n\n found_last = entries[0].found if entries else prev.found_last\n\n last_message = next((e.message for e in entries if e.message), \"\")\n\n if consecutive_failures >= BROKEN_THRESHOLD:\n message = (\n f\"{consecutive_failures} synchros consécutives en échec ou à 0 résultat\"\n )\n if last_message and last_message != \"ok\":\n message += f\" (dernier message : {last_message})\"\n status = STATUS_BROKEN\n elif last_success is not None and (now - last_success.timestamp()) > stale_after_seconds:\n hours = (now - last_success.timestamp()) / 3600\n message = (\n f\"aucun sync réussi depuis {hours:.1f} h \"\n f\"(seuil : {stale_after_seconds / 3600:.0f} h)\"\n )\n status = STATUS_STALE\n elif last_success is None:\n status = STATUS_DEGRADED\n message = \"aucun sync réussi observé pour l'instant\"\n elif entries and not entries[0].ok:\n status = STATUS_DEGRADED\n message = (\n f\"dernier sync en échec ({consecutive_failures}/{BROKEN_THRESHOLD})\"\n )\n if last_message and last_message != \"ok\":\n message += f\" — {last_message}\"\n elif (\n found_last is not None\n and median_found\n and found_last < DEGRADED_RATIO * median_found\n ):\n status = STATUS_DEGRADED\n message = (\n f\"volume {found_last} < 50 % de la médiane ({median_found:.0f})\"\n )\n else:\n status = STATUS_OK\n message = \"ok\"\n\n return Assessment(\n status=status,\n last_success=last_success,\n found_last=found_last,\n median_found=median_found,\n consecutive_failures=consecutive_failures,\n message=message,\n entries=entries,\n )\n\n\ndef assess_unreachable(prev: SourceState, error: str) -> Assessment:\n \"\"\"Classe l'état global d'une app dont le /api/stats est injoignable.\"\"\"\n consecutive_failures = prev.consecutive_failures + 1\n status = (\n STATUS_BROKEN if consecutive_failures >= BROKEN_THRESHOLD else STATUS_DEGRADED\n )\n return Assessment(\n status=status,\n last_success=prev.last_success,\n found_last=prev.found_last,\n median_found=prev.median_found,\n consecutive_failures=consecutive_failures,\n message=f\"GET /api/stats injoignable ({error})\",\n )\n\n\ndef parse_sync_entries(payload: dict[str, Any]) -> dict[str, list[SyncEntry]]:\n \"\"\"Extrait les entrées de sync par source depuis un payload /api/stats.\n\n Comprend les deux formats observés dans l'écosystème :\n ``recent_syncs`` (lou-ka, immo-ka, auto-ka, food-ka, resto-ka, job-ka) et\n ``sync_log`` par magasin (fabri-ka, clé ``store_id`` + ``status``).\n \"\"\"\n raw = payload.get(\"recent_syncs\") or payload.get(\"sync_log\") or []\n by_source: dict[str, list[SyncEntry]] = {}\n for item in raw:\n if not isinstance(item, dict):\n continue\n source = item.get(\"source\") or item.get(\"store_id\")\n if not source:\n continue\n if \"ok\" in item:\n ok = bool(item.get(\"ok\"))\n else:\n ok = str(item.get(\"status\", \"ok\")).lower() == \"ok\"\n try:\n entry = SyncEntry(\n ts=float(item.get(\"ts\") or 0),\n found=int(item.get(\"found\") or 0),\n ok=ok,\n message=str(item.get(\"message\") or \"\"),\n )\n except (TypeError, ValueError):\n continue\n by_source.setdefault(str(source), []).append(entry)\n return by_source\n\n\n_GLOBAL_TOTAL_KEYS = (\"total_active\", \"total\", \"creators\", \"restaurants\")\n\n\ndef build_app_entry(\n service: str,\n payload: dict[str, Any],\n by_source: dict[str, list[SyncEntry]],\n now: float,\n) -> SyncEntry:\n \"\"\"Synthétise UNE entrée représentant l'état global de l'app.\n\n - apps avec journal de sync : agrégat de la fenêtre (ts le plus récent,\n somme des volumes ok) ;\n - crea-ka : ``last_sync`` global + total ``creators`` ;\n - sorti-ka (aucun horodatage exposé) : joignabilité + volume total.\n \"\"\"\n all_entries = [e for lst in by_source.values() for e in lst]\n if all_entries:\n return SyncEntry(\n ts=max(e.ts for e in all_entries),\n found=sum(e.found for e in all_entries if e.ok),\n ok=any(e.ok for e in all_entries),\n )\n\n last_sync = payload.get(\"last_sync\")\n if isinstance(last_sync, str) and last_sync:\n try:\n ts = datetime.datetime.fromisoformat(\n last_sync.replace(\"Z\", \"+00:00\")\n ).timestamp()\n except ValueError:\n ts = now\n total = _global_total(payload)\n return SyncEntry(ts=ts, found=total, ok=True, message=\"last_sync global\")\n\n # Fallback (ex. sorti-ka) : l'app ne publie aucun horodatage de sync.\n return SyncEntry(\n ts=now,\n found=_global_total(payload),\n ok=True,\n message=\"pas d'horodatage de sync exposé — joignabilité + volume total\",\n )\n\n\ndef _global_total(payload: dict[str, Any]) -> int:\n for key in _GLOBAL_TOTAL_KEYS:\n value = payload.get(key)\n if isinstance(value, (int, float)):\n return int(value)\n totals = payload.get(\"totals\")\n if isinstance(totals, dict):\n for value in totals.values():\n if isinstance(value, (int, float)):\n return int(value)\n return 0\n\n\ndef rotation_factor(\n payload: dict[str, Any], by_source: dict[str, list[SyncEntry]]\n) -> int:\n \"\"\"Facteur de rotation des sources : les apps synchronisent leurs sources\n par lots (fenêtre ~20 entrées pour parfois >100 sources). Une source\n individuelle repasse donc toutes les ``rotation × cadence`` heures environ ;\n le seuil de staleness par source en tient compte pour ne pas générer de\n fausses alertes de masse.\"\"\"\n window = sum(len(v) for v in by_source.values())\n hint = payload.get(\"sources\")\n if not isinstance(hint, (int, float)):\n totals = payload.get(\"totals\")\n hint = totals.get(\"stores_live\") if isinstance(totals, dict) else 0\n total = max(int(hint or 0), len(by_source))\n if window <= 0 or total <= 0:\n return 1\n return max(1, math.ceil(total / window))\n\n\ndef _stats_url(service: str) -> str | None:\n \"\"\"Dérive l'URL /api/stats de l'app depuis la SOURCE_URL du .env.\"\"\"\n source_url = get_settings().source_urls.get(service, \"\")\n if not source_url:\n return None\n parts = urlsplit(source_url)\n if not parts.scheme or not parts.netloc:\n return None\n return f\"{parts.scheme}://{parts.netloc}/api/stats\"\n\n\ndef _fetch_stats(url: str) -> dict[str, Any]:\n \"\"\"GET /api/stats (lecture seule, timeout court).\"\"\"\n response = httpx.get(url, timeout=STATS_TIMEOUT_SECONDS, follow_redirects=True)\n response.raise_for_status()\n payload = response.json()\n if not isinstance(payload, dict):\n raise ValueError(\"payload /api/stats inattendu (dict requis)\")\n return payload\n\n\ndef _state_from_row(row: ConnectorHealth | None) -> SourceState:\n if row is None:\n return SourceState()\n return SourceState(\n status=row.status,\n last_success=_ensure_utc(row.last_success),\n found_last=row.found_last,\n median_found=row.median_found,\n consecutive_failures=row.consecutive_failures or 0,\n checked_at=_ensure_utc(row.checked_at),\n )\n\n\ndef _ensure_utc(value: datetime.datetime | None) -> datetime.datetime | None:\n if value is None:\n return None\n if value.tzinfo is None:\n return value.replace(tzinfo=datetime.UTC)\n return value\n\n\ndef _apply(\n session: Any,\n rows: dict[str, ConnectorHealth],\n service: str,\n source: str,\n assessment: Assessment,\n now: float,\n) -> str:\n \"\"\"Upsert de la ligne connector_health + alerte sur transition broken/stale.\"\"\"\n row = rows.get(source)\n previous_status = row.status if row is not None else None\n\n checked_at = _utc(now)\n if row is None:\n row = ConnectorHealth(service=service, source=source)\n session.add(row)\n rows[source] = row\n row.checked_at = checked_at\n row.status = assessment.status\n row.last_success = assessment.last_success\n row.found_last = assessment.found_last\n row.median_found = assessment.median_found\n row.consecutive_failures = assessment.consecutive_failures\n row.message = assessment.message\n\n if assessment.status in (STATUS_BROKEN, STATUS_STALE) and (\n previous_status != assessment.status\n ):\n alert(\n f\"[connecteurs] {service}/{source} : {assessment.status} — \"\n f\"{assessment.message}\"\n )\n return assessment.status\n\n\ndef _check_service(service: str, now: float) -> dict[str, Any]:\n \"\"\"Collecte et classe tous les connecteurs d'un service. Ne lève jamais\n pour cause d'app injoignable (l'échec est un état, pas une exception).\"\"\"\n url = _stats_url(service)\n if url is None:\n return {\"service\": service, \"skipped\": \"aucune SOURCE_URL configurée\"}\n\n cadence_seconds = EXPECTED_CADENCE_HOURS.get(service, 24) * 3600\n app_stale_after = STALE_FACTOR * cadence_seconds\n\n counts = dict.fromkeys(ALL_STATUSES, 0)\n\n try:\n payload = _fetch_stats(url)\n except Exception as exc: # httpx, JSON, payload inattendu…\n with session_scope() as session:\n rows = _load_rows(session, service)\n assessment = assess_unreachable(\n _state_from_row(rows.get(APP_SOURCE)), str(exc)\n )\n counts[_apply(session, rows, service, APP_SOURCE, assessment, now)] += 1\n return {\"service\": service, \"url\": url, \"reachable\": False, \"counts\": counts}\n\n by_source = parse_sync_entries(payload)\n app_entry = build_app_entry(service, payload, by_source, now)\n source_stale_after = app_stale_after * rotation_factor(payload, by_source)\n\n with session_scope() as session:\n rows = _load_rows(session, service)\n\n assessment = assess_source(\n [app_entry], _state_from_row(rows.get(APP_SOURCE)), now, app_stale_after\n )\n counts[_apply(session, rows, service, APP_SOURCE, assessment, now)] += 1\n\n for source, entries in by_source.items():\n assessment = assess_source(\n entries, _state_from_row(rows.get(source)), now, source_stale_after\n )\n counts[_apply(session, rows, service, source, assessment, now)] += 1\n\n # Sources connues mais absentes de la fenêtre courante : réévaluer la\n # staleness (le streak et la médiane restent inchangés).\n for source in list(rows):\n if source == APP_SOURCE or source in by_source:\n continue\n assessment = assess_source(\n [], _state_from_row(rows.get(source)), now, source_stale_after\n )\n counts[_apply(session, rows, service, source, assessment, now)] += 1\n\n return {\n \"service\": service,\n \"url\": url,\n \"reachable\": True,\n \"sources_in_window\": len(by_source),\n \"counts\": counts,\n }\n\n\ndef _load_rows(session: Any, service: str) -> dict[str, ConnectorHealth]:\n return {\n row.source: row\n for row in session.execute(\n select(ConnectorHealth).where(ConnectorHealth.service == service)\n ).scalars()\n }\n\n\ndef run_connector_health_check(now: float | None = None) -> dict[str, Any]:\n \"\"\"Point d'entrée du job (toutes les 2 h) : vérifie les 9 apps.\n\n L'échec d'une app (réseau, payload) ne fait jamais échouer le job.\n \"\"\"\n logger = get_logger(\"apika.monitoring\")\n now = now if now is not None else time.time()\n results: list[dict[str, Any]] = []\n for service in SERVICES:\n try:\n results.append(_check_service(service, now))\n except Exception as exc: # filet de sécurité (ex. DB) — jamais de crash\n logger.error(\n \"Échec de la supervision d'un service\",\n extra={\"service\": service, \"error\": str(exc)},\n )\n results.append({\"service\": service, \"error\": str(exc)})\n\n summary = {\n \"checked_at\": _utc(now).isoformat(),\n \"services\": results,\n }\n logger.info(\"Supervision des connecteurs terminée\", extra=summary)\n return summary\n\n\ndef main() -> None:\n \"\"\"Exécution manuelle : ``python -m src.monitoring.connector_health``.\"\"\"\n import json\n\n from src.database.db import init_db\n\n init_db()\n print(json.dumps(run_connector_health_check(), ensure_ascii=False, indent=2))\n\n\nif __name__ == \"__main__\":\n main()\n","structuredPatch":[{"oldStart":355,"oldLines":7,"newStart":355,"newLines":7,"lines":[" parts = urlsplit(source_url)"," if not parts.scheme or not parts.netloc:"," return None","- return f\"{parts.scheme}://{parts.netloc}/api/stats\"","+ return f\"{parts.scheme}://{parts.netloc}/api/stats?syncs_since_h={SYNC_WINDOW_HOURS}\""," "," "," def _fetch_stats(url: str) -> dict[str, Any]:"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"83c06bff-1b45-4213-9606-8055377804f5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cRkZ4x94ryEA2ph5c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HsBRc1pQbomUHD9kZcV2vR","name":"Bash","input":{"command":"ssh M4M64b 'sed -n \"250,262p\" ~/auto-ka/autoka/web.py; echo ===; .venv 2>/dev/null; cd ~/auto-ka && .venv/bin/python -c \"\nfrom autoka import db\ncon = db.connect()\nprint(con.execute(\\\"SELECT sql FROM sqlite_master WHERE name=\\x27sync_log\\x27\\\").fetchone()[0])\nr = con.execute(\\\"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 3\\\").fetchall()\nfor x in r: print(dict(x))\nprint(\\\"count:\\\", con.execute(\\\"SELECT COUNT(*) c FROM sync_log\\\").fetchone()[\\\"c\\\"])\n\"'","description":"Inspect auto-ka sync_log schema and sample rows"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3604,"cache_read_input_tokens":24035,"cache_creation":{"ephemeral_5m_input_tokens":3604,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c2938881-3997-473c-aa97-e9346046b25f","request_id":"req_011CeK6cQW9PLos7Eoifsc1U","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Inspect auto-ka sync_log schema and sample rows","subagent_type":"general-purpose","usage":{"total_tokens":27707,"tool_uses":5,"duration_ms":26184},"last_tool_name":"Bash","uuid":"93eb6ba2-5f79-42af-9b8c-ee737033211e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\nzsh:1: == not found","is_error":true,"tool_use_id":"toolu_01HsBRc1pQbomUHD9kZcV2vR"}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9605dcb2-8676-4418-b432-e4e068cb7865","timestamp":"2026-08-23T05:05:23.656Z","tool_use_result":"Error: Exit code 1\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\nzsh:1: == not found","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"2694c4d4-42e2-4b18-9ddf-ac3c67eccf37","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cRkZ4x94ryEA2ph5c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Ksr66SCo5T1MCB2mhrwkpu","name":"Bash","input":{"command":"ssh M4M64b 'cd ~/apps/food-ka && .venv/bin/python -c \"\nfrom foodka import db\ncon = db.connect()\nprint(con.execute(\\\"SELECT sql FROM sqlite_master WHERE name=\\x27sync_log\\x27\\\").fetchone()[0])\nr = con.execute(\\\"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 3\\\").fetchall()\nfor x in r: print(dict(x))\nprint(\\\"count:\\\", con.execute(\\\"SELECT COUNT(*) c FROM sync_log\\\").fetchone()[\\\"c\\\"])\n\"'","description":"Inspect food-ka sync_log schema and sample rows"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3604,"cache_read_input_tokens":24035,"cache_creation":{"ephemeral_5m_input_tokens":3604,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1de04d04-3d2c-4227-9468-58226ae96218","request_id":"req_011CeK6cQW9PLos7Eoifsc1U","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Inspect food-ka sync_log schema and sample rows","subagent_type":"general-purpose","usage":{"total_tokens":27710,"tool_uses":6,"duration_ms":27819},"last_tool_name":"Bash","uuid":"e166c85e-8d7f-4929-b286-72bfa2de0339","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Ksr66SCo5T1MCB2mhrwkpu","type":"tool_result","content":"CREATE TABLE sync_log (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n source TEXT,\n ts REAL,\n found INTEGER,\n added INTEGER,\n updated INTEGER,\n removed INTEGER,\n ok INTEGER,\n message TEXT,\n stats TEXT -- JSON : taux de champs null, missed, alerte…\n)\n{'id': 1795, 'source': 'walmart_flyer', 'ts': 1787449483.403915, 'found': 325, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_name_rate\": 0.0, \"missed\": 0}'}\n{'id': 1794, 'source': 'walmart', 'ts': 1787449385.81355, 'found': 611, 'added': 15, 'updated': 72, 'removed': 17, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_name_rate\": 0.0, \"missed\": 163}'}\n{'id': 1793, 'source': 'val_mont', 'ts': 1787449193.235776, 'found': 49, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_name_rate\": 0.0, \"missed\": 0}'}\ncount: 1795","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a93a6780-cbf0-459b-9c47-25008a4eb6bd","timestamp":"2026-08-23T05:05:25.352Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cuD3ndQoPeu4T9Cko","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TJgqLYivFus3eTkkPuWuf5","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && .venv/bin/python -c \"\nfrom immoka.connectors import CONNECTORS\nc = CONNECTORS[\\\"niddamour\\\"]\nprint(c, c.__module__)\nimport inspect\nprint(inspect.getsourcefile(c))\nfor k in (\\\"site_url\\\",\\\"account_id\\\",\\\"api_key\\\",\\\"app_id\\\",\\\"view_id\\\",\\\"domain\\\",\\\"agency_name\\\"):\n print(k, getattr(c, k, None))\n\"'","description":"Introspect niddamour connector class"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":273,"cache_read_input_tokens":34199,"cache_creation":{"ephemeral_5m_input_tokens":273,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3c5b4068-9ae5-4bca-966a-263a14d1157c","request_id":"req_011CeK6cshWmUYBJ2sqQ2cJz","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Introspect niddamour connector class","subagent_type":"general-purpose","usage":{"total_tokens":34647,"tool_uses":13,"duration_ms":66194},"last_tool_name":"Bash","uuid":"3c27feef-900c-46e3-acd8-3e4964e0db38","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TJgqLYivFus3eTkkPuWuf5","type":"tool_result","content":"<class 'immoka.connectors.agences_source_immo.AgenceSINiddamour'> immoka.connectors.agences_source_immo\n/Users/simon-pierreboucher/apps/immo-ka/immoka/connectors/agences_source_immo.py\nsite_url https://www.niddamour.ca/\naccount_id 08d1a0fd-0673-48d0-bb86-e40fe529bfdb\napi_key 80e7941c-66b1-45a0-b6e0-622b401367e0\napp_id ead7575f-8d1c-42e7-9f59-4cf9e065167e\nview_id 25cb8710-6c99-47ce-b137-8c667b63062c\ndomain None\nagency_name Nid d'Amour Agence Immobilière","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0c261893-177b-49af-a469-554c7b37d0b6","timestamp":"2026-08-23T05:05:25.783Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":50,"uuid":"b99aa695-2b4a-4831-93dc-3125af0147ce","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6caPTZVqrSkmhGPHNg","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":2847,"cache_read_input_tokens":48048,"cache_creation":{"ephemeral_5m_input_tokens":2847,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1b65f100-22fd-4a52-b752-703f84a76d67","request_id":"req_011CeK6cYqCWzgj8eJ1UJjv2","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6caPTZVqrSkmhGPHNg","type":"message","role":"assistant","content":[{"type":"text","text":"La clé anon n'apparaît pas dans les chunks — le rendu est entièrement serveur. La voie RSC (piste B) est donc la bonne. J'inspecte le payload de la page détail pour les champs riches."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2847,"cache_read_input_tokens":48048,"cache_creation":{"ephemeral_5m_input_tokens":2847,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a31a05ad-9020-4120-8c09-d1d49244b63d","request_id":"req_011CeK6cYqCWzgj8eJ1UJjv2","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0171vApjFUXW1wmu574E5SnK","type":"tool_result","content":"id|platform|catalog_endpoint|enabled|fail_streak|presumed_closed|product_count|last_status\ncanadel.com|woocommerce|/wp-json/wc/store/v1/products|1|5|0|0|error\norigin-north.ai|wix|/_api/wix-ecommerce-storefront-web/api|1|0|0|0|ok\nrose.ca|woocommerce|/wp-json/wc/store/v1/products|1|0|0|0|ok\nsaveursmitis.com|woocommerce|/wp-json/wc/store/v1/products|1|0|0|0|ok\nvergerlabonte.com|wix|/_api/wix-ecommerce-storefront-web/api|1|0|0|0|ok\nvisionartproductions.com|wix|/_api/wix-ecommerce-storefront-web/api|1|0|0|0|ok\nwilsy.ca|wix|/_api/wix-ecommerce-storefront-web/api|1|0|0|0|ok","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f111d531-132e-4d0f-9f75-1e0ab32629e7","timestamp":"2026-08-23T05:05:30.231Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cxCPCvMKQN8jmH3uC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FihF7ZZ4ehqkKZrkMJi2AN","name":"Bash","input":{"command":"scp /tmp/apika-fix/connector_health.py M3U96b:/opt/api-ka/src/monitoring/connector_health.py && ssh M3U96b 'cd /opt/api-ka && ./venv/bin/python -m py_compile src/monitoring/connector_health.py && echo OK && grep -n \"connector_health\\|check_all\\|def main\\|__main__\" src/scheduler/daily_job.py src/monitoring/connector_health.py | grep -iE \"def |import|__main__|schedule\" | head -10'","description":"Deploy connector_health change and find manual run entry"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":568,"cache_read_input_tokens":169049,"cache_creation":{"ephemeral_5m_input_tokens":568,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7077da77-9327-4b2f-befe-01a9f47d90a8","request_id":"req_011CeK6cvrmPN9m97DVSufBJ"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FihF7ZZ4ehqkKZrkMJi2AN","type":"tool_result","content":"OK\nsrc/scheduler/daily_job.py:31:from src.monitoring.connector_health import run_connector_health_check\nsrc/scheduler/daily_job.py:103:def main() -> None:\nsrc/scheduler/daily_job.py:138: run_connector_health_check,\nsrc/scheduler/daily_job.py:140: id=\"apika_connector_health\",\nsrc/scheduler/daily_job.py:150: \"connector_health_interval_hours\": 2,\nsrc/scheduler/daily_job.py:157:if __name__ == \"__main__\":\nsrc/monitoring/connector_health.py:496:def run_connector_health_check(now: float | None = None) -> dict[str, Any]:\nsrc/monitoring/connector_health.py:522:def main() -> None:\nsrc/monitoring/connector_health.py:532:if __name__ == \"__main__\":","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"78b8914b-e578-40ff-abf7-c7128c7f8669","timestamp":"2026-08-23T05:05:30.671Z","tool_use_result":{"stdout":"OK\nsrc/scheduler/daily_job.py:31:from src.monitoring.connector_health import run_connector_health_check\nsrc/scheduler/daily_job.py:103:def main() -> None:\nsrc/scheduler/daily_job.py:138: run_connector_health_check,\nsrc/scheduler/daily_job.py:140: id=\"apika_connector_health\",\nsrc/scheduler/daily_job.py:150: \"connector_health_interval_hours\": 2,\nsrc/scheduler/daily_job.py:157:if __name__ == \"__main__\":\nsrc/monitoring/connector_health.py:496:def run_connector_health_check(now: float | None = None) -> dict[str, Any]:\nsrc/monitoring/connector_health.py:522:def main() -> None:\nsrc/monitoring/connector_health.py:532:if __name__ == \"__main__\":","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"35c920c6-b3f5-4533-97f5-e8b5445fb45a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6dHLKTUdSnMGf5AomY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HXmWzSRK8YBp8yRftsvekv","name":"Bash","input":{"command":"ssh M4M64b 'cd ~/auto-ka && .venv/bin/python -c \"\nfrom autoka import db\ncon = db.connect()\nprint(con.execute(\\\"SELECT sql FROM sqlite_master WHERE name=\\x27sync_log\\x27\\\").fetchone()[0])\nr = con.execute(\\\"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 3\\\").fetchall()\nfor x in r: print(dict(x))\nprint(\\\"count:\\\", con.execute(\\\"SELECT COUNT(*) c FROM sync_log\\\").fetchone()[\\\"c\\\"])\nimport time\nprint(\\\"now:\\\", time.time())\n\"'","description":"Inspect auto-ka sync_log schema and sample rows"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1483,"cache_read_input_tokens":27639,"cache_creation":{"ephemeral_5m_input_tokens":1483,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"1770da1c-1b33-4cc9-82e1-3acad07d27f4","request_id":"req_011CeK6dG3vqNMZr2fbwKdmj","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Inspect auto-ka sync_log schema and sample rows","subagent_type":"general-purpose","usage":{"total_tokens":29199,"tool_uses":7,"duration_ms":35027},"last_tool_name":"Bash","uuid":"8df456c9-be63-4f92-97ff-a3fb73487069","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6dKYmmEVvnwHnSm8wB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MTZfBpuKmQ7TsHHEsdHbMo","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && cat immoka/connectors/sourceimmo.py'","description":"Read sourceimmo base connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":512,"cache_read_input_tokens":34472,"cache_creation":{"ephemeral_5m_input_tokens":512,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"09ba9e3c-1cb6-4aab-a653-2127bba3c665","request_id":"req_011CeK6dHw37qYXhfh8Si3am","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Read sourceimmo base connector","subagent_type":"general-purpose","usage":{"total_tokens":35179,"tool_uses":14,"duration_ms":73077},"last_tool_name":"Bash","uuid":"a57c8a5e-f010-400f-9286-5d33b13c3c6f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01MTZfBpuKmQ7TsHHEsdHbMo","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/sourceimmo.py : base réutilisable pour les agences bâties sur la\n# plateforme « source.immo » (plugin WordPress source-immo). L'app AngularJS\n# appelle une API ASP.NET publique :\n# GET https://api-v1.source.immo/api/listing/view/{view}/{locale}/items\n# avec les en-têtes x-si-account / x-si-api / x-si-appId (exposés dans la\n# config publique {_configs.json} du site). Pagination par `next_token`.\n# Une sous-classe fournit account_id / api_key / app_id / view_id.\n#\n# ENRICHISSEMENT DÉTAIL (fiche complète) : l'endpoint\n# GET .../listing/view/{view}/{locale}/items/ref_number/{ref}\n# retourne TOUT : galerie complète (blob.source.immo, variante -lg) avec\n# étiquettes de pièces, description longue + addendum, ville/secteur résolus\n# (dictionary), taxes et frais (expenses), pièces avec dimensions (rooms),\n# attributs traduits (attribute_value), courtier + téléphone, inclusions/\n# exclusions, lien Centris original. Mise en cache BD (detail_cache) — seules\n# les fiches nouvelles ou modifiées (prix/photo de couverture) sont re-lues.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport os\nimport re\n\nfrom .base import BaseConnector\nfrom ._detailutil import apply_detail\nfrom ..schema import PropertyListing\n\nAPI_ROOT = \"https://api-v1.source.immo/api\"\n\n# Codes de catégorie source.immo -> vocabulaire brut (finalize() normalise)\n_CATEGORY = {\n \"RESIDENTIAL\": \"Maison\", \"SINGLE-FAMILY\": \"Maison\",\n \"MULTI-FAMILY\": \"Multiplex\", \"CONDO\": \"Condo\", \"APARTMENT\": \"Condo\",\n \"LOT\": \"Terrain\", \"LAND\": \"Terrain\", \"FARM\": \"Fermette/Agricole\",\n \"COMMERCIAL\": \"Commercial\", \"INDUSTRIAL\": \"Commercial\",\n}\n_SUBCATEGORY = {\n \"2X\": \"Duplex\", \"3X\": \"Triplex\", \"4X\": \"Quadruplex\", \"5X\": \"Quintuplex\",\n}\n\n# « Montréal (Verdun/Île-des-Sœurs) » -> ville + secteur\n_CITY_SECTOR_RE = re.compile(r\"^(.*?)\\s*\\((.*)\\)\\s*$\")\n\n\ndef _fmt_money(amount) -> str:\n try:\n return f\"{float(amount):,.0f} $\".replace(\",\", \" \")\n except (TypeError, ValueError):\n return \"\"\n\n\ndef _big(url: str) -> str:\n \"\"\"Variante grande taille d'une photo blob.source.immo (-sm/-md -> -lg).\"\"\"\n return re.sub(r\"-(?:sm|md)\\.(jpg|jpeg|png|webp)$\", r\"-lg.\\1\", url or \"\")\n\n\nclass SourceImmoConnector(BaseConnector):\n \"\"\"Base : définir source_id, account_id, api_key, app_id, view_id, site_url.\"\"\"\n\n account_id = \"\"\n api_key = \"\"\n app_id = \"\"\n view_id = \"\"\n site_url = \"\"\n locale = \"fr\"\n request_delay = 0.25\n use_detail_cache = True\n max_pages = 400 # garde-fou (100 items/page)\n # fiches détail (re)lues au plus par synchronisation — le cache BD rend les\n # cycles suivants quasi gratuits. IMMOKA_DETAIL_LIMIT pour un rattrapage.\n detail_limit = 400\n\n def _headers(self) -> dict:\n return {\n \"x-si-account\": self.account_id,\n \"x-si-api\": self.api_key,\n \"x-si-appId\": self.app_id,\n \"Accept\": \"application/json\",\n }\n\n def fetch(self) -> list[PropertyListing]:\n url = f\"{API_ROOT}/listing/view/{self.view_id}/{self.locale}/items\"\n out: list[PropertyListing] = []\n params: dict = {}\n seen: set[str] = set()\n prev_token = None\n for _ in range(self.max_pages):\n try:\n data = self.get(url, headers=self._headers(), params=params).json()\n except Exception:\n break\n items = data.get(\"items\", []) if isinstance(data, dict) else []\n if not items:\n break\n before = len(out)\n for it in items:\n lst = self._to_listing(it)\n if lst and lst.uid not in seen:\n seen.add(lst.uid)\n out.append(lst)\n # Pagination source.immo : l'API attend `st` (search_token) + `nt`\n # (next_token) — c'est ce que fait l'app AngularJS. Avec le mauvais\n # nom de paramètre, l'API renvoie toujours la 1re page (faux plafond\n # de 100 items). Avec st+nt, on parcourt tout l'inventaire.\n meta = data.get(\"metadata\") or {}\n token = meta.get(\"next_token\")\n if not token or token == prev_token or len(out) == before:\n break\n prev_token = token\n params = {\"st\": meta.get(\"search_token\") or \"\", \"nt\": token}\n self._enrich_details(out)\n return out\n\n # -- fiche détail (galerie complète, taxes, pièces, ville…) ----------------\n def _enrich_details(self, listings: list[PropertyListing]) -> None:\n budget = int(os.environ.get(\"IMMOKA_DETAIL_LIMIT\", self.detail_limit))\n if budget <= 0 or not self.view_id:\n return\n from .. import db\n con = db.connect()\n try:\n for lst in listings:\n # clé de changement : prix + photo de couverture (les fiches\n # modifiées à la source sont re-lues, les autres viennent du cache)\n key = f\"v1:{lst.price or ''}:{lst.details.get('cover_thumb', '')}\"\n cached = db.get_cached_detail(con, self.source_id,\n lst.external_id, key)\n if cached is None:\n stale = db.get_stale_detail(con, self.source_id, lst.external_id)\n if budget <= 0:\n if stale:\n self._apply(lst, stale)\n continue\n try:\n raw = self.get(\n f\"{API_ROOT}/listing/view/{self.view_id}/\"\n f\"{self.locale}/items/ref_number/{lst.external_id}\",\n headers=self._headers()).json()\n cached = self._detail_payload(raw)\n except Exception:\n cached = {}\n if not cached and stale:\n # échec transitoire : on garde l'ancien payload\n self._apply(lst, stale)\n budget -= 1\n continue\n db.put_cached_detail(con, self.source_id, lst.external_id,\n key, cached)\n budget -= 1\n self._apply(lst, cached)\n finally:\n con.close()\n\n def _apply(self, lst: PropertyListing, payload: dict) -> None:\n if not payload:\n return\n # ville/secteur résolus par le détail : plus fiables que la liste\n for f in (\"city\", \"sector\"):\n if payload.get(f):\n setattr(lst, f, payload[f])\n apply_detail(lst, payload)\n\n def _detail_payload(self, d: dict) -> dict:\n \"\"\"Payload compact (JSON-sérialisable, mis en cache) depuis la fiche API.\"\"\"\n if not isinstance(d, dict) or not d.get(\"ref_number\"):\n return {}\n dic = d.get(\"dictionary\") or {}\n\n def cap(group: str, code) -> str:\n return ((dic.get(group) or {}).get(str(code)) or {}).get(\"caption\", \"\") \\\n if code is not None else \"\"\n\n out: dict = {}\n # -- galerie complète, meilleure résolution, ordre source + étiquettes --\n photos = d.get(\"photos\") or []\n images, captions = [], []\n for p in photos:\n u = _big(p.get(\"url\") or \"\")\n if u:\n images.append(u)\n captions.append(cap(\"photo_category\", p.get(\"category_code\")))\n if images:\n out[\"images\"] = images\n details: dict = {}\n if any(captions):\n details[\"photo_captions\"] = captions\n\n # -- description longue (+ addendum) ------------------------------------\n desc = (d.get(\"description\") or \"\").strip()\n addendum = (d.get(\"addendum\") or \"\").strip()\n if addendum and addendum not in desc:\n desc = (desc + \"\\n\\n\" + addendum).strip()\n if desc:\n out[\"description\"] = desc\n\n # -- localisation précise ------------------------------------------------\n loc = d.get(\"location\") or {}\n addr = loc.get(\"address\") or {}\n street = \" \".join(filter(None, [addr.get(\"street_number\"),\n addr.get(\"street_name\")])).strip()\n if addr.get(\"door\") and street:\n street = f\"{addr['door']}-{street}\"\n if street:\n out[\"address\"] = street\n if addr.get(\"postal_code\"):\n details[\"postal_code\"] = addr[\"postal_code\"]\n city_caption = cap(\"city\", loc.get(\"city_code\"))\n if city_caption:\n m = _CITY_SECTOR_RE.match(city_caption)\n if m:\n out[\"city\"], out[\"sector\"] = m.group(1), m.group(2)\n else:\n out[\"city\"] = city_caption\n region = cap(\"region\", loc.get(\"region_code\"))\n if region:\n details[\"region\"] = region\n if loc.get(\"latitude\") and loc.get(\"longitude\"):\n out[\"lat\"], out[\"lng\"] = loc[\"latitude\"], loc[\"longitude\"]\n\n # -- pièces/chambres/année/superficies (unité principale) ---------------\n units = d.get(\"units\") or []\n main = next((u for u in units if u.get(\"category_code\") == \"MAIN\"),\n units[0] if units else {})\n for src_k, dst_k in ((\"bedroom_count\", \"bedrooms\"),\n (\"bathroom_count\", \"bathrooms\"),\n (\"waterroom_count\", \"powder_rooms\")):\n if main.get(src_k) is not None:\n out[dst_k] = main[src_k]\n if main.get(\"room_count\"):\n details[\"Nombre de pièces\"] = main[\"room_count\"]\n b = d.get(\"building\") or {}\n if b.get(\"construction_year\"):\n out[\"year_built\"] = b[\"construction_year\"]\n if b.get(\"total_levels\"):\n details[\"Nombre d'étages\"] = b[\"total_levels\"]\n if (b.get(\"dimension\") or {}).get(\"area_sf\"):\n out[\"area_sqft\"] = b[\"dimension\"][\"area_sf\"]\n land = d.get(\"land\") or {}\n if (land.get(\"dimension\") or {}).get(\"area_sf\"):\n out[\"lot_sqft\"] = land[\"dimension\"][\"area_sf\"]\n\n # -- coûts : taxes, frais, évaluation municipale -------------------------\n _period = {\"Y\": \"an\", \"M\": \"mois\", \"W\": \"sem.\"}\n for e in d.get(\"expenses\") or []:\n label = cap(\"expense_type\", e.get(\"type_code\")) or e.get(\"type_code\")\n money = _fmt_money(e.get(\"amount\"))\n if not (label and money):\n continue\n per = _period.get(e.get(\"period_code\") or \"\", \"\")\n year = f\" ({e['year']})\" if e.get(\"year\") else \"\"\n details[label] = f\"{money}/{per}{year}\" if per else f\"{money}{year}\"\n assess = (d.get(\"assessment\") or {}).get(\"amount\") or (\n ((b.get(\"assessment\") or {}).get(\"amount\") or 0)\n + ((land.get(\"assessment\") or {}).get(\"amount\") or 0)) or None\n if assess:\n year = (d.get(\"assessment\") or {}).get(\"year\") or \\\n (b.get(\"assessment\") or {}).get(\"year\")\n details[\"Évaluation municipale\"] = _fmt_money(assess) + (\n f\" ({year})\" if year else \"\")\n\n # -- inclusions / exclusions / lien original / visites -------------------\n if d.get(\"inclusions\"):\n details[\"Inclusions\"] = str(d[\"inclusions\"])[:600]\n if d.get(\"exclusions\"):\n details[\"Exclusions\"] = str(d[\"exclusions\"])[:600]\n links = d.get(\"links\") or {}\n if links.get(\"website\"):\n details[\"listing_origin_url\"] = links[\"website\"]\n for k, lab in ((\"virtual_tour\", \"Visite virtuelle\"), (\"video\", \"Vidéo\")):\n if links.get(k):\n details[lab] = links[k]\n\n # -- caractéristiques traduites (attributs) + pièces ---------------------\n features: list[str] = []\n for a in d.get(\"attributes\") or []:\n group = cap(\"attribute\", a.get(\"code\")) or (a.get(\"code\") or \"\").title()\n vals = [cap(\"attribute_value\", (v or {}).get(\"code\"))\n or str((v or {}).get(\"code\") or \"\")\n for v in a.get(\"values\") or []]\n vals = [v for v in vals if v]\n if group and vals:\n features.append(f\"{group} : {', '.join(vals)}\")\n _unit = {\"I\": \"po\", \"F\": \"pi\", \"M\": \"m\"}\n for r in d.get(\"rooms\") or []:\n name = cap(\"room_category\", r.get(\"category_code\"))\n if not name:\n continue\n dim = r.get(\"dimension\") or {}\n w, l = dim.get(\"width\"), dim.get(\"length\")\n u = _unit.get(dim.get(\"unit_code\") or \"\", \"pi\")\n size = \"\"\n if w and l:\n if u == \"po\": # dimensions en pouces -> pieds,pouces lisibles\n size = f\" — {int(l // 12)},{int(l % 12)} × {int(w // 12)},{int(w % 12)} pi\"\n else:\n size = f\" — {l:g} × {w:g} {u}\"\n floor = cap(\"flooring\", r.get(\"flooring_code\"))\n features.append(f\"{name}{size}\" + (f\" ({floor})\" if floor else \"\"))\n if features:\n out[\"features\"] = features\n\n # -- courtier inscripteur (nom + téléphone) -------------------------------\n brokers = d.get(\"brokers\") or []\n if brokers:\n bk = brokers[0]\n name = bk.get(\"name\") or \" \".join(\n filter(None, [bk.get(\"first_name\"), bk.get(\"last_name\")]))\n phone = next(iter((bk.get(\"phones\") or {}).values()), \"\")\n if name:\n details[\"Courtier inscripteur\"] = name + (f\" — {phone}\" if phone else \"\")\n if phone:\n out[\"broker_phone\"] = phone\n if details:\n out[\"details\"] = details\n return out\n\n # -- mapping (item de liste) ------------------------------------------------\n def _to_listing(self, it: dict) -> PropertyListing | None:\n ref = it.get(\"ref_number\") or it.get(\"id\")\n if not ref or not it.get(\"for_sale_flag\", True):\n return None\n if (it.get(\"status_code\") or \"\").upper() not in (\"\", \"AVAILABLE\"):\n return None\n\n loc = it.get(\"location\") or {}\n addr = loc.get(\"address\") or {}\n street = \" \".join(filter(None, [addr.get(\"street_number\"),\n addr.get(\"street_name\")])).strip()\n if addr.get(\"door\") and street:\n street = f\"{addr['door']}-{street}\"\n price = ((it.get(\"price\") or {}).get(\"sell\") or {}).get(\"amount\")\n\n cat = (it.get(\"category_code\") or \"\").upper()\n sub = (it.get(\"subcategory_code\") or \"\").upper()\n prop_type = _SUBCATEGORY.get(sub) or _CATEGORY.get(cat, \"\")\n\n unit = it.get(\"main_unit\") or {}\n building = it.get(\"building\") or {}\n dim = building.get(\"dimension\") or {}\n area = dim.get(\"area_sf\")\n land = it.get(\"land\") or {}\n lot = (land.get(\"dimension\") or {}).get(\"area_sf\")\n\n photo = it.get(\"photo_url\") or \"\"\n images = [_big(photo)] if photo else []\n\n # caractéristiques disponibles dans l'item (la fiche détail enrichit)\n details = {\"postal_code\": addr.get(\"postal_code\", \"\")}\n if photo:\n # miniature légère pour les cartes de liste (mobile) — la galerie\n # pleine taille vient de la fiche détail\n details[\"cover_thumb\"] = photo\n b_ass = (building.get(\"assessment\") or {}).get(\"amount\")\n l_ass = (land.get(\"assessment\") or {}).get(\"amount\")\n if b_ass or l_ass:\n details[\"Évaluation municipale\"] = (\n f\"{(b_ass or 0) + (l_ass or 0):,.0f} $\".replace(\",\", \" \"))\n if unit.get(\"room_count\"):\n details[\"Nombre de pièces\"] = unit[\"room_count\"]\n features = []\n attrs = it.get(\"attributes\") or {}\n if attrs.get(\"PARKING\"):\n features.append(\"Stationnement\")\n if it.get(\"virtual_tour_flag\"):\n features.append(\"Visite virtuelle\")\n if it.get(\"video_flag\"):\n features.append(\"Vidéo\")\n\n return PropertyListing(\n source=self.source_id,\n external_id=str(ref),\n url=self._listing_url(it),\n title=street,\n address=street,\n city=\"\", # résolu par la fiche détail (dictionary)\n sector=\"\",\n region=str(loc.get(\"region_code\") or \"\"),\n property_type=prop_type,\n price=float(price) if price is not None else None,\n price_label=(f\"{float(price):,.0f} $\".replace(\",\", \" \") if price else \"\"),\n bedrooms=unit.get(\"bedroom_count\"),\n bathrooms=unit.get(\"bathroom_count\"),\n powder_rooms=unit.get(\"waterroom_count\"),\n area_sqft=float(area) if area else None,\n lot_sqft=float(lot) if lot else None,\n year_built=building.get(\"construction_year\"),\n mls=str(ref),\n lat=loc.get(\"latitude\"),\n lng=loc.get(\"longitude\"),\n description=(it.get(\"description\") or \"\").strip(),\n images=images,\n features=features,\n details=details,\n )\n\n def _listing_url(self, it: dict) -> str:\n # URL lisible non essentielle ; on pointe la recherche du site par défaut.\n return self.site_url","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0bf10af8-6832-4390-ac47-a2bc89fba18f","timestamp":"2026-08-23T05:05:32.516Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HXmWzSRK8YBp8yRftsvekv","type":"tool_result","content":"CREATE TABLE sync_log (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n source TEXT,\n ts REAL,\n found INTEGER,\n added INTEGER,\n updated INTEGER,\n removed INTEGER,\n ok INTEGER,\n message TEXT,\n stats TEXT -- JSON : taux de champs null, missed, alerte…\n)\n{'id': 13132, 'source': 'nissanvictoriaville', 'ts': 1787460874.852105, 'found': 44, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_km_rate\": 0.0, \"missed\": 0}'}\n{'id': 13131, 'source': 'nissandrummondville', 'ts': 1787460872.169583, 'found': 52, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_km_rate\": 0.0, \"missed\": 0}'}\n{'id': 13130, 'source': 'mitsubishidrummondville', 'ts': 1787460869.5571358, 'found': 15, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_km_rate\": 0.0, \"missed\": 0}'}\ncount: 13132\nnow: 1787461532.5841842","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"9c4d4923-a0f5-4277-b1d0-f6bb80d418f9","timestamp":"2026-08-23T05:05:32.566Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6dKYmmEVvnwHnSm8wB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012UFEeyyYztnBSmK9UwFEVm","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && cat immoka/connectors/agences_source_immo.py'","description":"Read agences_source_immo connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":512,"cache_read_input_tokens":34472,"cache_creation":{"ephemeral_5m_input_tokens":512,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"43a6de36-09a3-4d09-ba07-aadc390def06","request_id":"req_011CeK6dHw37qYXhfh8Si3am","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Read agences_source_immo connector","subagent_type":"general-purpose","usage":{"total_tokens":35199,"tool_uses":15,"duration_ms":73896},"last_tool_name":"Bash","uuid":"407e2aa2-e9fe-4023-80a3-e67e8fc709e7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012UFEeyyYztnBSmK9UwFEVm","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/agences_source_immo.py : agences INDÉPENDANTES sur la plateforme\n# source.immo (plugin WordPress). Beaucoup de petites/moyennes agences QC\n# l'utilisent (liste sur source.immo). Chacune expose sa config publique à\n# /wp-content/uploads/_sourceimmo/_configs.json → on lit l'API publique\n# api-v1.source.immo (voir SourceImmoConnector). Ce sont des agences\n# autonomes : leurs inscriptions (leur propre n° Centris) sont ADDITIVES —\n# pas de sous-agence d'une bannière déjà couverte → source_id normal (pas _ag_).\n# EXCEPTION : les équipes/agences dont une partie des inscriptions est\n# co-listée avec une bannière couverte (co-inscription Centris) portent un id\n# « si_ag_<slug> » : la dédup Centris (db.refresh_dedup, sources %_ag_%)\n# masque leurs doublons tout en gardant leurs fiches uniques visibles.\n#\n# Un connecteur par agence est généré depuis data/source_immo_agencies.json.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nfrom pathlib import Path\n\nfrom .sourceimmo import SourceImmoConnector\nfrom ..schema import PropertyListing\n\nREGISTRY = Path(__file__).resolve().parent.parent.parent / \"data\" / \"source_immo_agencies.json\"\n\n\nclass _AgenceSourceImmo(SourceImmoConnector):\n \"\"\"Agence indépendante source.immo. Recharge sa config depuis le site\n (résilient aux rotations d'UUID) ; agency_name pour l'affichage Sources.\"\"\"\n\n agency_name = \"\"\n\n def fetch(self) -> list[PropertyListing]:\n base = self.site_url.rstrip(\"/\")\n try:\n cfg = self.get(f\"{base}/wp-content/uploads/_sourceimmo/_configs.json\").json()\n self.account_id = cfg.get(\"account_id\", self.account_id)\n self.api_key = cfg.get(\"api_key\", self.api_key)\n self.app_id = cfg.get(\"app_id\", self.app_id)\n self.view_id = cfg.get(\"default_view\", self.view_id)\n except Exception:\n pass\n return super().fetch()\n\n def _to_listing(self, it: dict) -> PropertyListing | None:\n lst = super()._to_listing(it)\n if lst is not None:\n lst.broker_name = self.agency_name\n lst.agency = self.agency_name\n ref = it.get(\"ref_number\") or it.get(\"id\")\n if ref and self.site_url:\n lst.url = f\"{self.site_url.rstrip('/')}/propriete/{ref}\"\n return lst\n\n\ndef _load() -> list[dict]:\n try:\n return json.loads(REGISTRY.read_text(encoding=\"utf-8\"))\n except Exception:\n return []\n\n\n# Génère une classe par agence du registre.\nfor _ag in _load():\n if not all(_ag.get(k) for k in (\"id\", \"domain\", \"account\", \"api\", \"app\", \"view\")):\n continue\n _sid = _ag[\"id\"]\n _dom = _ag[\"domain\"].rstrip(\"/\")\n globals()[f\"AGENCE_{_sid.upper()}\"] = type(\n \"AgenceSI\" + \"\".join(p.title() for p in _sid.split(\"_\")),\n (_AgenceSourceImmo,),\n {\n \"source_id\": _sid,\n \"account_id\": _ag[\"account\"], \"api_key\": _ag[\"api\"],\n \"app_id\": _ag[\"app\"], \"view_id\": _ag[\"view\"],\n \"site_url\": f\"https://{_dom}/\",\n \"agency_name\": _ag.get(\"name\", _sid.title()),\n },\n )","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"23ac9479-ace1-4f9c-b61d-c1b719dbf8c7","timestamp":"2026-08-23T05:05:33.357Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cZxR5XwxiBv8vSwKR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JHVjw7DCP3EDfvCxf6VQxE","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && python3 -c \"\nimport json\nstores=json.load(open(\\\"data/stores.json\\\"))[\\\"stores\\\"]\nids={\\\"origin-north.ai\\\",\\\"vergerlabonte.com\\\",\\\"rose.ca\\\",\\\"saveursmitis.com\\\",\\\"canadel.com\\\",\\\"wilsy.ca\\\",\\\"visionartproductions.com\\\"}\nfor s in stores:\n if s[\\\"id\\\"] in ids:\n print(json.dumps({k:s.get(k) for k in (\\\"id\\\",\\\"platform\\\",\\\"catalog_endpoint\\\",\\\"enabled\\\",\\\"url\\\",\\\"name\\\")}, ensure_ascii=False))\nprint(\\\"total:\\\",len(stores))\nprint(\\\"connectables:\\\",sum(1 for s in stores if s.get(\\\"enabled\\\",True) and s.get(\\\"platform\\\") and s.get(\\\"catalog_endpoint\\\")))\n\"'","description":"Check registry entries for the 7 stores and connectable count"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2459,"cache_read_input_tokens":31629,"cache_creation":{"ephemeral_5m_input_tokens":2459,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"17fc4e20-9b9a-483d-9595-20dceb649432","request_id":"req_011CeK6cYXbR1gTp13UR3Vsp","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Check registry entries for the 7 stores and connectable count","subagent_type":"general-purpose","usage":{"total_tokens":34204,"tool_uses":10,"duration_ms":54506},"last_tool_name":"Bash","uuid":"0f6c3599-fa5a-4787-8a66-c3d650939be3","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JHVjw7DCP3EDfvCxf6VQxE","type":"tool_result","content":"{\"id\": \"rose.ca\", \"platform\": \"woocommerce\", \"catalog_endpoint\": \"/wp-json/wc/store/v1/products\", \"enabled\": true, \"url\": \"https://www.rose.ca\", \"name\": \"Produits du terroir - Fleuriste - Café\"}\n{\"id\": \"vergerlabonte.com\", \"platform\": \"wix\", \"catalog_endpoint\": \"/_api/wix-ecommerce-storefront-web/api\", \"enabled\": true, \"url\": \"https://www.vergerlabonte.com\", \"name\": \"Verger Labonté\"}\n{\"id\": \"visionartproductions.com\", \"platform\": \"wix\", \"catalog_endpoint\": \"/_api/wix-ecommerce-storefront-web/api\", \"enabled\": true, \"url\": \"https://www.visionartproductions.com\", \"name\": \"Vision Art Productions\"}\n{\"id\": \"wilsy.ca\", \"platform\": \"wix\", \"catalog_endpoint\": \"/_api/wix-ecommerce-storefront-web/api\", \"enabled\": true, \"url\": \"https://www.wilsy.ca\", \"name\": \"ACCUEIL\"}\n{\"id\": \"saveursmitis.com\", \"platform\": \"woocommerce\", \"catalog_endpoint\": \"/wp-json/wc/store/v1/products\", \"enabled\": true, \"url\": \"https://saveursmitis.com\", \"name\": \"Saveurs Mitis\"}\n{\"id\": \"canadel.com\", \"platform\": \"woocommerce\", \"catalog_endpoint\": \"/wp-json/wc/store/v1/products\", \"enabled\": true, \"url\": \"https://canadel.com\", \"name\": \"Canadel\"}\n{\"id\": \"origin-north.ai\", \"platform\": \"wix\", \"catalog_endpoint\": \"/_api/wix-ecommerce-storefront-web/api\", \"enabled\": true, \"url\": \"https://www.origin-north.ai\", \"name\": \"Inc\"}\ntotal: 4082\nconnectables: 1747","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6059430b-ef8f-44f2-af3c-dbf604e416a3","timestamp":"2026-08-23T05:05:33.864Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6cZxR5XwxiBv8vSwKR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R5jN4gCb44wo3tA6NBnGLg","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sqlite3 data/fabrika.db \"SELECT store_id, datetime(ts,\\\"unixepoch\\\",\\\"localtime\\\") d, status, found, substr(message,1,120) FROM sync_log WHERE store_id IN (\\\"origin-north.ai\\\",\\\"vergerlabonte.com\\\",\\\"rose.ca\\\",\\\"saveursmitis.com\\\",\\\"canadel.com\\\",\\\"wilsy.ca\\\",\\\"visionartproductions.com\\\") AND ts > strftime(\\\"%s\\\",\\\"now\\\")-3*86400 ORDER BY store_id, ts DESC;\" | head -60'","description":"Recent sync_log entries for the 7 broken stores"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2459,"cache_read_input_tokens":31629,"cache_creation":{"ephemeral_5m_input_tokens":2459,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"77acdf29-6528-472a-abaf-9cd91feb5a27","request_id":"req_011CeK6cYXbR1gTp13UR3Vsp","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Recent sync_log entries for the 7 broken stores","subagent_type":"general-purpose","usage":{"total_tokens":34208,"tool_uses":11,"duration_ms":56637},"last_tool_name":"Bash","uuid":"60346144-a8f8-4c5e-a4f1-b33000c9c259","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R5jN4gCb44wo3tA6NBnGLg","type":"tool_result","content":"canadel.com|2026-08-22 17:24:11|error|0|422 Client Error: Unprocessable Entity for url: https://api.scrapfly.io/scrape?key=scp-live-4678865fffba41809895d31175de\ncanadel.com|2026-08-22 13:51:48|error|0|422 Client Error: Unprocessable Entity for url: https://api.scrapfly.io/scrape?key=scp-live-4678865fffba41809895d31175de\ncanadel.com|2026-08-22 04:20:26|error|0|422 Client Error: Unprocessable Entity for url: https://api.scrapfly.io/scrape?key=scp-live-4678865fffba41809895d31175de\ncanadel.com|2026-08-21 20:16:41|error|0|HTTPSConnectionPool(host='canadel.com', port=443): Read timed out. (read timeout=30)\ncanadel.com|2026-08-21 20:09:55|error|0|HTTPSConnectionPool(host='canadel.com', port=443): Read timed out. 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— Tri-Logis\",\"slug\":\"60-12_perreault-e\",\"size\":16}],[\"$\",\"$L30\",null,{\"unitId\":\"10317d7f-a7eb-474c-94d5-8967faaefea2\",\"variant\":\"inline\",\"size\":16}]]}]\n2b:[\"$\",\"$L31\",null,{\"photos\":[{\"url\":\"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-media/c0723fb9-2fc8-4813-9c33-8559f09b3fad/10317d7f-a7eb-474c-94d5-8967faaefea2/9b7d6962-7510-4d37-ac4e-93a87b0375c7_medium.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV9kNGI1NTNhYy1hMjY4LTQzMDEtODkwNC0yZTA2ZWVjMmQ2MzEiLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJwcm9wZXJ0eS1tZWRpYS9jMDcyM2ZiOS0yZmM4LTQ4MTMtOWMzMy04NTU5ZjA5YjNmYWQvMTAzMTdkN2YtYTdlYi00NzRjLTk0ZDUtODk2N2ZhYWVmZWEyLzliN2Q2OTYyLTc1MTAtNGQzNy1hYzRlLTkzYTg3YjAzNzVjN19tZWRpdW0ud2VicCIsInNjb3BlIjoiZG93bmxvYWQiLCJpYXQiOjE3ODc0NjA0MjYsImV4cCI6MTc4ODA2NTIyNn0.a3Xi5q0HKX7CyAncynbYrdlY86W1sKx3EaJKKy8KX0o\",\"caption\":null},{\"url\":\"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-media/c0723fb9-2fc8-4813-9c33-8559f09b3fad/10317d7f-a7eb-474c-94d5-8967faaefea2/d0ef779c-01f4-4db1-a92f-1e852ec3c9b7_medium.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV9kNGI1NTNhYy1hMjY4LTQzMDEtODkwNC0yZTA2ZWVjMmQ2MzEiLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJwcm9wZXJ0eS1tZWRpYS9jMDcyM2ZiOS0yZmM4LTQ4MTMtOWMzMy04NTU5ZjA5YjNmYWQvMTAzMTdkN2YtYTdlYi00NzR\n\n=== 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Rouyn-Noranda\",\"sector\":\"Centre-ville\",\"coverPhotoUrl\":\"https://tcrymlwdnwmfmpnkrfeu.supabase.co/storage/v1/object/sign/property-media/c0723fb9-2fc8-4813-9c33-8559f09b3fad/10317d7f-a7eb-474c-94d5-8967faaefea2/9b7d6962-7510-4d37-ac4e-93a87b0375c7_medium.webp?token=eyJraWQiOiJzdG9yYWdlLXVybC1zaWduaW5nLWtleV9kNGI1NTNhYy1hMjY4LTQzMDEtODkwNC0yZTA2ZWVjMmQ2MzEiLCJhbGciOiJIUzI1NiJ9.eyJ1cmwiOiJwcm9wZXJ0eS1tZWRpYS9jMDcyM2ZiOS0yZmM4LTQ4MTMtOWMzMy04NTU5ZjA5YjNmYWQvMTAzMTdkN2YtYTdlYi00NzRjLTk0ZDUtODk2N2ZhYWVmZWEyLzliN2Q2OTYyLTc1MTAtNGQzNy1hYzRlLTkzYTg3YjAzNzVjN19tZWRpdW0ud2VicCIsInNjb3BlIjoiZG93bmxvYWQiLCJpYXQiOjE3ODc0NjA0MjYsImV4cCI6MTc4ODA2NTIyNn0.a3Xi5q0HKX7CyAncynbYrdlY86W1sKx3EaJKKy8KX0o\",\"unitLabel\":\"60-12_Perreault-E\"}]]}]\n35:[\"$\",\"$L3b\",null,{\"unitId\":\"10317d7f-a7eb-474c-94d5-8967faaefea2\",\"unitName\":\"60-12_Perreault-E\"}]\n36:[\"$\",\"$L3c\",null,{\"unitId\":\"10317d7f-a7eb-474c-94d5-8967faaefea2\",\"unitName\":\"60-12_Perreault-E\",\"monthlyRent\":1100,\"status\":\"departure_planned\",\"inclusions\":{\"heating\":\"tenant\",\"electricity\":\"tenant\",\"water\":\"landlord\",\"hot_water\":\"landlord\",\"snow_entrance\":\"tenant\",\"snow_parking\":\"na\",\"internet\":\"landlord\",\"parking\":false,\"laundry\":false,\"furnished\":false,\"balcony\":false,\"pets\":false},\"unitType\":\"residential\"}]\n37:[\"$\",\"p\",null,{\"style\":{\"margin\":0,\"fontSize\":15,\"fontWeight\":800,\"color\":\"#D11848\",\"whiteSpace\":\"nowrap\"},\"children\":\"1 200 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0\",\"display\":\"flex\",\"alignItems\":\"center\",\"gap\":6,\"fontSize\":14,\"fontWeight\":500,\"color\":\"#6b7280\"},\"children\":[[\"$\",\"svg\",null,{\"ref\":\"$undefined\",\"xmlns\":\"http://www.w3.org/2000/svg\",\"width\":14,\"height\":14,\"viewBox\":\"0 0 24 24\",\"fill\":\"none\",\"stroke\":\"#BA8041\",\"strokeWidth\":2,\"strokeLinecap\":\"round\",\"strokeLinejoin\":\"round\",\"className\":\"lucide lucide-map-pin\",\"aria-hidden\":\"true\",\"children\":[[\"$\",\"path\",\"1r0f0z\",{\"d\":\"M20 10c0 4.993-5.539 10.193-7.399 11.799a1 1 0 0 1-1.202 0C9.539 20.193 4 14.993 4 10a8 8 0 0 1 16 0\"}],\"$L29\",\"$undefined\"]}],\"58-60 Perreault-E, Rouyn-Noranda\",\" · Centre-ville\"]}]]}],\"$L2a\"]}],\"$L2b\",\"$L2c\",\"$L2d\"]}]\n20:null\n25:[[\"$\",\"title\",\"0\",{\"children\":\"2 ½ à louer — 58-60 Perreault-E, Rouyn-Noranda — Tri-Logis\"}],[\"$\",\"meta\",\"1\",{\"name\":\"description\",\"content\":\"2 ½ à louer — 58-60 Perreault-E, Rouyn-Noranda — 1 100 $/mois — disponible le 1 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Logement à louer chez Tri-Logis, Rouyn-Noranda.\"}],[\"$\",\"link\",\"2\",{\"rel\":\"canonical\",\"href\":\"https://trilogis.ca/a-louer/60-12_perreault-e\"}],[\"$\",\"meta\",\"3\",{\"property\":\"og:title\",\"content\":\"2 ½ à louer — 58-60 Perreault-E, Rouyn-Noranda — Tri-Logis\"}],[\"$\",\"meta\",\"4\",{\"property\":\"og:description\",\"content\":\"2 ½ à louer — 58-60 Perreault-E, Rouyn-Noranda — 1 100 $/mois — disponible le 1 septembre 2026. Logement à louer chez Tri-Logis, Rouyn-Noranda.\"}],[\"$\",\"meta\",\"5\",{\"property\":\"og:url\",\"content\":\"https://trilogis.ca/a-louer/60-12_perreault-e\"}],[\"$\",\"meta\",\"6\",{\"property\":\"og:image\",\"content\":\"https://trilogis.ca/site/a-louer/60-12_perreault-e/opengraph-image?0bdb16d2d4e59c1d\"}],[\"$\",\"meta\",\"7\",{\"property\":\"og:image:type\",\"content\":\"image/png\"}],[\"$\",\"meta\",\"8\",{\"property\":\"og:image:width\",\"content\":\"1200\"}],[\"$\",\"meta\",\"9\",{\"property\":\"og:image:height\",\"content\":\"630\"}],[\"$\",\"meta\",\"10\",{\"property\":\"og:image:alt\",\"content\":\"Logement à louer chez Tri-Logis à Ro","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b512483f-b88e-4f3b-95b8-c9ce5a8fc033","timestamp":"2026-08-23T05:05:36.831Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} 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J'analyse maintenant la fraîcheur réelle par source dans les deux sync_log."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":909,"cache_read_input_tokens":29122,"cache_creation":{"ephemeral_5m_input_tokens":909,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"54ece650-5bd5-46f6-8e6a-dcbf87c73f55","request_id":"req_011CeK6dnuZQZvTaKd1yD9Cs","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6dtLEnFtRiJX7TXhm2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CRjZFizbNRwdXqPCmkfaLR","name":"Bash","input":{"command":"curl -s -o /dev/null -w \"%{http_code} %{url_effective}\\n\" -L \"https://www.niddamour.ca/\" --max-time 20; curl -s -L --max-time 20 \"https://www.niddamour.ca/wp-content/uploads/_sourceimmo/_configs.json\" | head -c 500; echo","description":"Test niddamour.ca site and source.immo config"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8159,"cache_read_input_tokens":34984,"cache_creation":{"ephemeral_5m_input_tokens":8159,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a650482b-6dbb-4141-bc30-65a3d72c8f84","request_id":"req_011CeK6drHxGzGZF3RMMGAhr","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Test niddamour.ca site and source.immo config","subagent_type":"general-purpose","usage":{"total_tokens":43370,"tool_uses":16,"duration_ms":81286},"last_tool_name":"Bash","uuid":"18df3d6b-cb51-4780-b2d6-c905a705428c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"801acd24-f004-4e47-be19-69e6ae4e946c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bo2ntsa0w","tool_use_id":"toolu_01CRjZFizbNRwdXqPCmkfaLR","description":"Test niddamour.ca site and source.immo config","task_type":"local_bash","uuid":"f8257b57-0dbe-454e-b23c-0fea03660845","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bo2ntsa0w","tool_use_id":"toolu_01CRjZFizbNRwdXqPCmkfaLR","status":"completed","output_file":"","summary":"Test niddamour.ca site and source.immo config","uuid":"6063eddf-83d3-4ead-abc7-678dbdf97ab7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CRjZFizbNRwdXqPCmkfaLR","type":"tool_result","content":"200 https://niddamour.ca/\n{\"state\":\"loaded\",\"app_id\":\"ead7575f-8d1c-42e7-9f59-4cf9e065167e\",\"app_version\":\"3.7.19\",\"api_key\":\"80e7941c-66b1-45a0-b6e0-622b401367e0\",\"account_id\":\"08d1a0fd-0673-48d0-bb86-e40fe529bfdb\",\"registered\":true,\"supported_locales\":[\"fr\",\"en\"],\"map_api_key\":\"\",\"default_currency\":\"CAD\",\"default_interest_rate\":3,\"mode\":\"PROD\",\"isolation\":\"NONE\",\"prefetch_data\":false,\"site_logo\":null,\"form_from_name\":\"Your website\",\"form_from_address\":\"no-reply@karencadet.cp03.id-3.net\",\"form_recipient\":\"\",\"new_item_ti","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3acc6966-3d7c-416a-b23d-00c8b70e8b64","timestamp":"2026-08-23T05:05:44.279Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":109,"estimated_tokens_delta":59,"uuid":"d70a0c64-aaf4-4339-b6ec-5e447d9d1daa","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6eJS5PUSFVsQgNo8sU","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":593,"cache_read_input_tokens":170394,"cache_creation":{"ephemeral_5m_input_tokens":593,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c7731e5e-4854-4240-9e8a-ce29dd5f3b67","request_id":"req_011CeK6eGgAEFZwW9QHBwyQ5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6eJS5PUSFVsQgNo8sU","type":"message","role":"assistant","content":[{"type":"text","text":"Côté api-ka, tout est poussé. Maintenant job-ka, en local sur ce nœud."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":593,"cache_read_input_tokens":170394,"cache_creation":{"ephemeral_5m_input_tokens":593,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d2d331a8-1e62-4f64-8016-a106e1123428","request_id":"req_011CeK6eGgAEFZwW9QHBwyQ5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6eJS5PUSFVsQgNo8sU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012an24e35wY68GrvQeuwijr","name":"Bash","input":{"command":"grep -rn \"recent_syncs\" ~/apps/job-ka --include=\"*.py\" | grep -v test | head -3; pm2 describe job-ka-web 2>/dev/null | grep -E \"script args|status\"; pm2 describe job-ka-sync 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status │ online │\n│ script args │ -c .venv/bin/python run.py serve 8096 │\n│ status │ online │\n│ script args │ -c .venv/bin/python run.py watch 60 │","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e3f13ce9-a5db-4ebc-814d-b200a1bddd17","timestamp":"2026-08-23T05:05:46.102Z","tool_use_result":{"stdout":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py:349: \"recent_syncs\": log}\n│ status │ online │\n│ script args │ -c .venv/bin/python run.py serve 8096 │\n│ status │ online │\n│ script args │ -c .venv/bin/python run.py watch 60 │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"7f3ad81a-e6a1-4822-b846-2de8581ec90a","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6e5EKsiESKDgijDzC6","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":4009,"cache_read_input_tokens":34088,"cache_creation":{"ephemeral_5m_input_tokens":4009,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"91316eb0-81c4-4bed-960e-9743ddf2bc0e","request_id":"req_011CeK6e3JVSktWnDDXk3nTs","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6e5EKsiESKDgijDzC6","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":4009,"cache_read_input_tokens":34088,"cache_creation":{"ephemeral_5m_input_tokens":4009,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"32ca9f56-40c7-47b5-80be-f3059e132cd7","request_id":"req_011CeK6e3JVSktWnDDXk3nTs","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6dpGum7e646768YBW7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HVcD4FYEFUeu8d5x3vH6aD","name":"Bash","input":{"command":"ssh M4M64b 'cd ~/apps/food-ka && .venv/bin/python -c \"\nimport time\nfrom foodka import db\ncon = db.connect()\nnow = time.time()\nrows = con.execute(\\\"SELECT source, MAX(CASE WHEN ok=1 THEN ts END) last_ok, MAX(ts) last_any, COUNT(*) n FROM sync_log GROUP BY source\\\").fetchall()\nprint(\\\"sources totales:\\\",len(rows))\nfor r in sorted(rows,key=lambda r:(r[\\\"last_ok\\\"] or 0)):\n lo=r[\\\"last_ok\\\"]\n age=None if lo is None else round((now-lo)/3600,1)\n print(f\\\"{r[\\x27source\\x27]:24s} dernier_ok_h={age} derniere_entree_h={round((now-r[\\x27last_any\\x27])/3600,1)} n={r[\\x27n\\x27]}\\\")\n\"'","description":"Analyze food-ka per-source last success age"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":909,"cache_read_input_tokens":29122,"cache_creation":{"ephemeral_5m_input_tokens":909,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"970b6ddc-003f-49ef-935c-668ed38d51e9","request_id":"req_011CeK6dnuZQZvTaKd1yD9Cs","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Analyze food-ka per-source last success age","subagent_type":"general-purpose","usage":{"total_tokens":30132,"tool_uses":9,"duration_ms":51333},"last_tool_name":"Bash","uuid":"343ef938-febd-48fa-b8f4-ee882cbba179","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n File \"<string>\", line 11\n print(f\"{r[\\x27source\\x27]:24s} dernier_ok_h={age} derniere_entree_h={round((now-r[\\x27last_any\\x27])/3600,1)} n={r[\\x27n\\x27]}\")\n ^\nSyntaxError: unexpected character after line continuation character","is_error":true,"tool_use_id":"toolu_01HVcD4FYEFUeu8d5x3vH6aD"}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fcf3782c-3cda-417a-a856-444518c3248b","timestamp":"2026-08-23T05:05:48.853Z","tool_use_result":"Error: Exit code 1\n File \"<string>\", line 11\n print(f\"{r[\\x27source\\x27]:24s} dernier_ok_h={age} derniere_entree_h={round((now-r[\\x27last_any\\x27])/3600,1)} n={r[\\x27n\\x27]}\")\n ^\nSyntaxError: unexpected character after line continuation character","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6egeJiDzxhRgQgRuVY","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":506,"cache_read_input_tokens":43143,"cache_creation":{"ephemeral_5m_input_tokens":506,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"72b88d11-920a-40e2-a427-62c7d49e94f9","request_id":"req_011CeK6ef6Y4Aii7eZM73cAG","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6epHSBt5QN8AMgZKAA","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01R3VCH8wKBSLVYSh85egkLU","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py","offset":315,"limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":425,"cache_read_input_tokens":170987,"cache_creation":{"ephemeral_5m_input_tokens":425,"ephemeral_1h_input_tokens":0},"output_tokens":21,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c1db6c4f-7934-4a0a-b614-566f2436ac3d","request_id":"req_011CeK6enn9Y35yRDegtLFy7"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01R3VCH8wKBSLVYSh85egkLU","type":"tool_result","content":"315\t FROM jobs WHERE active=1 AND dup_of IS NULL\n316\t AND quarantine IS NULL\"\"\").fetchone()\n317\t quarantined = con.execute(\n318\t \"SELECT COUNT(*) n FROM jobs WHERE active=1 AND quarantine IS NOT NULL\"\n319\t ).fetchone()[\"n\"]\n320\t cities = [dict(r) for r in con.execute(\n321\t \"\"\"SELECT city, COUNT(*) n FROM jobs\n322\t WHERE active=1 AND dup_of IS NULL AND city<>''\n323\t GROUP BY city ORDER BY n DESC LIMIT 15\"\"\")]\n324\t categories = [dict(r) for r in con.execute(\n325\t \"\"\"SELECT category, COUNT(*) n FROM jobs\n326\t WHERE active=1 AND dup_of IS NULL AND category<>''\n327\t GROUP BY category ORDER BY n DESC\"\"\")]\n328\t log = [dict(r) for r in con.execute(\n329\t \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n330\t # offres directes (pages carrières + dépôt direct) c. portails agrégateurs\n331\t agg = sorted(AGGREGATORS) or [\"__aucun__\"]\n332\t ph = \",\".join(\"?\" * len(agg))\n333\t direct = con.execute(\n334\t f\"\"\"SELECT COUNT(*) n, COUNT(DISTINCT employer) e,\n335\t COUNT(DISTINCT source) s\n336\t FROM jobs WHERE active=1 AND dup_of IS NULL\n337\t AND source NOT IN ({ph})\"\"\", agg).fetchone()\n338\t portal = con.execute(\n339\t f\"\"\"SELECT COUNT(*) n FROM jobs WHERE active=1 AND dup_of IS NULL\n340\t AND source IN ({ph})\"\"\", agg).fetchone()\n341\t dups = con.execute(\n342\t \"SELECT COUNT(*) n FROM jobs WHERE active=1\"\n343\t \" AND dup_of IS NOT NULL\").fetchone()\n344\t con.close()\n345\t return {**dict(row), \"top_cities\": cities, \"categories\": categories,\n346\t \"direct_jobs\": direct[\"n\"], \"direct_employers\": direct[\"e\"],\n347\t \"direct_sources\": direct[\"s\"], \"portal_jobs\": portal[\"n\"],\n348\t \"duplicates_hidden\": dups[\"n\"], \"quarantined\": quarantined,\n349\t \"recent_syncs\": log}\n350\t\n351\t\n352\t@app.get(\"/api/stats/dashboard\")\n353\tdef stats_dashboard(period: str = \"30j\",\n354\t from_: str | None = Query(None, alias=\"from\"),"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"621cadcc-830b-4185-a920-2ce5088304c0","timestamp":"2026-08-23T05:05:49.880Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py","content":" FROM jobs WHERE active=1 AND dup_of IS NULL\n AND quarantine IS NULL\"\"\").fetchone()\n quarantined = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1 AND quarantine IS NOT NULL\"\n ).fetchone()[\"n\"]\n cities = [dict(r) for r in con.execute(\n \"\"\"SELECT city, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND city<>''\n GROUP BY city ORDER BY n DESC LIMIT 15\"\"\")]\n categories = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs\n agg = sorted(AGGREGATORS) or [\"__aucun__\"]\n ph = \",\".join(\"?\" * len(agg))\n direct = con.execute(\n f\"\"\"SELECT COUNT(*) n, COUNT(DISTINCT employer) e,\n COUNT(DISTINCT source) s\n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source NOT IN ({ph})\"\"\", agg).fetchone()\n portal = con.execute(\n f\"\"\"SELECT COUNT(*) n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source IN ({ph})\"\"\", agg).fetchone()\n dups = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1\"\n \" AND dup_of IS NOT NULL\").fetchone()\n con.close()\n return {**dict(row), \"top_cities\": cities, \"categories\": categories,\n \"direct_jobs\": direct[\"n\"], \"direct_employers\": direct[\"e\"],\n \"direct_sources\": direct[\"s\"], \"portal_jobs\": portal[\"n\"],\n \"duplicates_hidden\": dups[\"n\"], \"quarantined\": quarantined,\n \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),","numLines":40,"startLine":315,"totalLines":516}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b909016e-1e44-45f4-9a7a-aae90950c2bf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6egeJiDzxhRgQgRuVY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017viRduPc9r6PA7pGKpDeUh","name":"Bash","input":{"command":"CFG=$(curl -s -L --max-time 20 \"https://www.niddamour.ca/wp-content/uploads/_sourceimmo/_configs.json\"); echo \"$CFG\" | python3 -c \"import json,sys; c=json.load(sys.stdin); print({k:c.get(k) for k in ('account_id','api_key','app_id','default_view')}); print([k for k in c if 'view' in k.lower()])\"","description":"Extract view fields from niddamour config"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":506,"cache_read_input_tokens":43143,"cache_creation":{"ephemeral_5m_input_tokens":506,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2f91913b-1e8e-4256-83bf-ce50ba4878f4","request_id":"req_011CeK6ef6Y4Aii7eZM73cAG","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Extract view fields from niddamour config","subagent_type":"general-purpose","usage":{"total_tokens":43884,"tool_uses":17,"duration_ms":91769},"last_tool_name":"Bash","uuid":"c9278aa3-5a3f-47ad-b484-f4cb166c576e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017viRduPc9r6PA7pGKpDeUh","type":"tool_result","content":"{'account_id': '08d1a0fd-0673-48d0-bb86-e40fe529bfdb', 'api_key': '80e7941c-66b1-45a0-b6e0-622b401367e0', 'app_id': 'ead7575f-8d1c-42e7-9f59-4cf9e065167e', 'default_view': '25cb8710-6c99-47ce-b137-8c667b63062c'}\n['default_view']","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e725508f-d223-4184-a90d-1f8bf8421b29","timestamp":"2026-08-23T05:05:51.263Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6e5EKsiESKDgijDzC6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014nYcSS7w9Spscbj9PooEyq","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sqlite3 -header data/fabrika.db \"\nSELECT s.platform, COUNT(*) n FROM stores s\nWHERE s.product_count=0 AND s.id IN (SELECT store_id FROM sync_log WHERE ts>strftime(\\\"%s\\\",\\\"now\\\")-2*86400)\nAND NOT EXISTS (SELECT 1 FROM sync_log l WHERE l.store_id=s.id AND l.status=\\\"ok\\\" AND l.found>0)\nGROUP BY s.platform;\nSELECT COUNT(*) FROM stores s WHERE s.product_count=0 AND s.id IN (SELECT store_id FROM sync_log WHERE ts>strftime(\\\"%s\\\",\\\"now\\\")-2*86400);\"'","description":"Ventilate zero-product stores by 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fabrika/connectors/_resilient.py\n 134 fabrika/connectors/base.py\n 234 fabrika/connectors/generic.py\n 57 fabrika/connectors/scrapfly.py\n 136 fabrika/connectors/shopify.py\n 128 fabrika/connectors/square.py\n 52 fabrika/connectors/squarespace.py\n 113 fabrika/connectors/wix.py\n 108 fabrika/connectors/woocommerce.py\n 1320 total\n# -----------------------------------------------------------------------------\n# Fabri-Ka — Agrégateur de produits québécois\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/wix.py : connecteur générique Wix Stores.\n# 1) GET /_api/v1/access-tokens -> jeton d'instance public de l'app Wix Stores\n# 2) GraphQL storefront getFilteredProducts (catalogue complet, paginé)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re as _re\n\nfrom ..schema import Product, parse_price\nfrom .base import BaseConnector\n\n\ndef _strip_html(s: str) -> str:\n return _re.sub(r\"\\s+\", \" \", _re.sub(r\"<[^>]+>\", \" \", s or \"\")).strip()\n\nWIX_STORES_APP = \"1380b703-ce81-ff05-f115-39571d94dfcd\"\nALL_PRODUCTS_CATEGORY = \"00000000-000000-000000-000000000001\"\n\nGQL = \"\"\"query getFilteredProducts($limit:Int!,$offset:Int!){\n catalog{category(categoryId:\"%s\"){numOfProducts\n productsWithMetaData(limit:$limit,offset:$offset,onlyVisible:true){\n list{id name urlPart price comparePrice formattedPrice description\n sku brand discount{mode value}\n media{url} isInStock productType ribbon weight\n inventory{status quantity}\n additionalInfo{title description}\n options{title selections{description}}}}}}}\"\"\" % ALL_PRODUCTS_CATEGORY\n\n\nclass WixConnector(BaseConnector):\n platform = \"wix\"\n\n def fetch(self) -> list[Product]:\n r = self.get(f\"{self.base}/_api/v1/access-tokens\")\n apps = r.json().get(\"apps\", {})\n inst = (apps.get(WIX_STORES_APP) or {}).get(\"instance\")\n if not inst:\n return [] # site Wix sans app Boutique — rien à agréger\n out: list[Product] = []\n offset, total = 0, None\n while offset < (total if total is not None else 1) and offset < 20000:\n resp = self.session.post(\n f\"{self.base}/_api/wix-ecommerce-storefront-web/api\",\n headers={\"Authorization\": inst, \"Content-Type\": \"application/json\"},\n json={\"query\": GQL, \"variables\": {\"limit\": 100, \"offset\": offset}},\n timeout=self.timeout)\n resp.raise_for_status()\n cat = (((resp.json().get(\"data\") or {}).get(\"catalog\") or {})\n .get(\"category\") or {})\n if total is None:\n total = int(cat.get(\"numOfProducts\") or 0)\n if total == 0:\n break\n items = ((cat.get(\"productsWithMetaData\") or {}).get(\"list\")) or []\n if not items:\n break\n for it in items:\n imgs = []\n for m in (it.get(\"media\") or []):\n u = m.get(\"url\") or \"\"\n if u and not u.startswith(\"http\"):\n u = \"https://static.wixstatic.com/media/\" + u.lstrip(\"/\")\n if u:\n imgs.append(u)\n price = parse_price(it.get(\"price\"))\n compare = parse_price(it.get(\"comparePrice\"))\n det: dict = {}\n options = [{\"title\": o.get(\"title\", \"\"),\n \"selections\": [s.get(\"description\", \"\")\n for s in (o.get(\"selections\") or [])]}\n for o in (it.get(\"options\") or []) if o]\n if options:\n det[\"options\"] = options\n if it.get(\"sku\"):\n det[\"sku\"] = it[\"sku\"]\n if it.get(\"brand\"):\n det[\"brand\"] = it[\"brand\"]","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e00b2f5c-db2a-493f-8173-f697a379612e","timestamp":"2026-08-23T05:05:52.386Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6f6qqipaFVqdZyJTum","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WsMFqBmWVSHaQeG4dxH8dG","name":"Bash","input":{"command":"sed -n \"295,312p\" ~/apps/job-ka/jobka/web.py; grep 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con.close()\n for s in registry:\n s[\"active_jobs\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT employer) employers,\n COUNT(DISTINCT source) sources,\n SUM(CASE WHEN salary_min IS NOT NULL THEN 1 ELSE 0 END) with_salary,\n AVG(salary_year_min) avg_salary_year,\n9:from __future__ import annotations\n11:import json\n12:import re\n13:import secrets\n14:import threading\n15:import time\n16:from pathlib import Path\n18:from fastapi import BackgroundTasks, FastAPI, HTTPException, Query\n19:from fastapi.middleware.cors import CORSMiddleware\n20:from fastapi.middleware.gzip import GZipMiddleware\n21:from fastapi.responses import FileResponse, Response\n22:from fastapi.staticfiles import StaticFiles\n23:from pydantic import BaseModel, Field\n25:from . import auth, db, ingest\n26:from .dedup import AGGREGATORS","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8a410cec-297d-42e5-806a-ac6c586eb164","timestamp":"2026-08-23T05:05:53.851Z","tool_use_result":{"stdout":" last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_jobs\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT employer) employers,\n COUNT(DISTINCT source) sources,\n SUM(CASE WHEN salary_min IS NOT NULL THEN 1 ELSE 0 END) with_salary,\n AVG(salary_year_min) avg_salary_year,\n9:from __future__ import annotations\n11:import json\n12:import re\n13:import secrets\n14:import threading\n15:import time\n16:from pathlib import Path\n18:from fastapi import BackgroundTasks, FastAPI, HTTPException, Query\n19:from fastapi.middleware.cors import CORSMiddleware\n20:from fastapi.middleware.gzip import GZipMiddleware\n21:from fastapi.responses import FileResponse, Response\n22:from fastapi.staticfiles import StaticFiles\n23:from pydantic import BaseModel, Field\n25:from . import auth, db, ingest\n26:from .dedup import AGGREGATORS","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ba3d7c93-0178-47f4-8d9e-593616215e40","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6f1pifsadAAEVAs9HQ","type":"message","role":"assistant","content":[{"type":"text","text":"Auto-ka : **142/142 sources avec un succès < 24 h** — les 57 « stale » sont donc tous des faux positifs de fenêtre. Je passe par des scripts scp pour éviter l'enfer du quoting."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1446,"cache_read_input_tokens":30031,"cache_creation":{"ephemeral_5m_input_tokens":1446,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"143bc04c-1e9e-40f1-a9fb-fd925b0cde58","request_id":"req_011CeK6ezaJv5UQs3yggFW5J","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fD8NAY4t2R5Heivfh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MLz6LF3wXigqUaL4Qvyf1i","name":"Bash","input":{"command":"curl -s --max-time 30 \"https://api-v1.source.immo/api/listing/view/25cb8710-6c99-47ce-b137-8c667b63062c/fr/items\" -H \"x-si-account: 08d1a0fd-0673-48d0-bb86-e40fe529bfdb\" -H \"x-si-api: 80e7941c-66b1-45a0-b6e0-622b401367e0\" -H \"x-si-appId: ead7575f-8d1c-42e7-9f59-4cf9e065167e\" -H \"Accept: application/json\" -w \"\\nHTTP %{http_code}\\n\" | head -c 1200","description":"Call source.immo API for niddamour 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locataires.\",\"video_flag\":false,\"virtual_tour_flag\":false,\"contract\":{\"start_date\":\"2022-05-31T00:00:00Z\"},\"for_sale_flag\":false,\"for_rent_flag\":true,\"price\":{\"lease\":{\"amount\":2400.0,\"period_code\":\"M\"},\"rent\":{\"amount\":2400.0,\"period_code\":\"M\"}},\"location\":{\"address\":{\"street_number\":\"4122\",\"street_name\":\"Avenue des Érables\",\"postal_code\":\"H2K 3V8\"},\"country_code\":\"CAN\",\"state_code\":\"QC\",\"region_code\":\"06\",\"city_code\":\"66508\",\"district_code\":\"\",\"longitude\":-73.5661755,\"latitude\":45.5329504},\"building\":{\"category_code\":\"AT\",\"dimension\":{}},\"land\":{\"dimension\":{}},\"main_unit\":{\"room_count\":0,\"bedroom_count\":3,\"bathroom_count\":1,\"waterroom_count\":0},\"","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2932ff17-f717-48b5-ac9c-714152623f72","timestamp":"2026-08-23T05:05:57.655Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} 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(file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"35687a31-6d99-400f-93ae-420fc2fdca3a","timestamp":"2026-08-23T05:05:58.537Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py","oldString":"@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()","newString":"@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n con = db.connect()","originalFile":"# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/web.py\n# Rôle : API FastAPI (JSON) + healthcheck + service du frontend (frontend/dist)\n# Créé : 2026-08-17 Modifié : 2026-08-17\n# =============================================================================\nfrom __future__ import annotations\n\nimport json\nimport re\nimport secrets\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, Response\nfrom fastapi.staticfiles import StaticFiles\nfrom pydantic import BaseModel, Field\n\nfrom . import auth, db, ingest\nfrom .dedup import AGGREGATORS\nfrom .schema import JobPosting\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Job-Ka API\", version=\"1.0\",\n description=\"Agrégateur d'offres d'emploi — employeurs québécois, \"\n \"directement à la source\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n# connexion KA ID (SSO du hub groupe-ka.com) — voir jobka/auth.py\napp.include_router(auth.router)\n\n_sync_lock = threading.Lock()\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"benefits\"] = json.loads(d.get(\"benefits\") or \"[]\")\n d[\"requirements\"] = json.loads(d.get(\"requirements\") or \"{}\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\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 # offre directe = page carrière de l'employeur ou dépôt direct (≠ portail)\n d[\"is_direct\"] = d.get(\"source\") not in AGGREGATORS\n return d\n\n\n@app.get(\"/health\")\ndef health():\n \"\"\"Healthcheck de déploiement : BD accessible + fraîcheur des syncs.\"\"\"\n try:\n con = db.connect()\n total = con.execute(\n \"SELECT COUNT(*) c FROM jobs WHERE active=1\").fetchone()[\"c\"]\n last = con.execute(\n \"SELECT MAX(ts) ts FROM sync_log WHERE ok=1\").fetchone()[\"ts\"]\n con.close()\n except Exception as exc:\n raise HTTPException(500, f\"BD inaccessible : {exc}\")\n return {\"status\": \"ok\", \"active_jobs\": total,\n \"last_sync_age_s\": round(time.time() - last) if last else None}\n\n\n@app.get(\"/api/jobs\")\ndef list_jobs(\n city: str | None = None,\n region: str | None = None,\n category: str | None = None,\n employer: str | None = None,\n source: str | None = None,\n work_mode: str | None = None,\n employment_type: str | None = None,\n salary_min: float | None = None, # $/an (converti côté serveur)\n with_salary: int | None = None, # 1 = transparence salariale seulement\n posted_after: str | None = None, # ISO : offres publiées depuis…\n language: str | None = None, # fr | en | bilingue\n q: str | None = None,\n active: int = 1,\n quarantined: int | None = None, # 1 = quarantaine seulement (supervision)\n sort: str = \"recent\", # recent | salary\n limit: int = Query(100, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM jobs WHERE dup_of IS NULL\" # doublons masqués\n args: list = []\n # quarantaine qualité : jamais publiée par défaut (voir jobka/quality.py)\n sql += \" AND quarantine IS NOT NULL\" if quarantined == 1 \\\n else \" AND quarantine IS NULL\"\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if city:\n sql += \" AND city=?\"; args.append(city)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if language:\n sql += \" AND language=?\"; args.append(language)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if employer:\n sql += \" AND employer LIKE ?\"; args.append(f\"%{employer}%\")\n if source:\n sql += \" AND source=?\"; args.append(source)\n if work_mode:\n sql += \" AND work_mode=?\"; args.append(work_mode)\n if employment_type:\n sql += \" AND employment_type=?\"; args.append(employment_type)\n if salary_min is not None:\n sql += (\" AND salary_year_max IS NOT NULL AND salary_year_max>=?\")\n args.append(salary_min)\n if with_salary == 1:\n sql += \" AND salary_min IS NOT NULL\"\n if posted_after:\n sql += \" AND date_posted IS NOT NULL AND date_posted>=?\"\n args.append(posted_after)\n if q:\n sql += \" AND (title LIKE ? OR employer LIKE ? OR description LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"salary\":\n sql += \" ORDER BY salary_year_max IS NULL, salary_year_max DESC\"\n else:\n sql += \" ORDER BY date_posted IS NULL, date_posted DESC, first_seen DESC\"\n sql += \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = []\n for r in con.execute(sql, args).fetchall():\n d = _row_to_dict(r)\n d.pop(\"description\", None) # liste allégée : la fiche a le texte complet\n rows.append(d)\n con.close()\n return {\"total\": total, \"count\": len(rows), \"jobs\": rows}\n\n\n@app.get(\"/api/jobs.geojson\")\ndef jobs_geojson(\n city: str | None = None,\n region: str | None = None,\n category: str | None = None,\n work_mode: str | None = None,\n employment_type: str | None = None,\n salary_min: float | None = None,\n with_salary: int | None = None,\n language: str | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Offres géolocalisées au format GeoJSON (mêmes filtres que /api/jobs).\n\n `bbox=ouest,sud,est,nord` restreint au rectangle visible (idx_jobs_geo).\n Membres additionnels : `totalGeocoded` / `totalMatching` pour afficher\n « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, title_clean, employer, city, category, work_mode,\"\n \" employment_type, salary_min, salary_max, salary_unit,\"\n \" salary_year_min, salary_year_max, date_posted, source, lat, lng\"\n \" FROM jobs WHERE active=1 AND dup_of IS NULL AND quarantine IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if work_mode:\n sql += \" AND work_mode=?\"; args.append(work_mode)\n if employment_type:\n sql += \" AND employment_type=?\"; args.append(employment_type)\n if salary_min is not None:\n sql += \" AND salary_year_max IS NOT NULL AND salary_year_max>=?\"\n args.append(salary_min)\n if with_salary == 1:\n sql += \" AND salary_min IS NOT NULL\"\n if language:\n sql += \" AND language=?\"; args.append(language)\n if q:\n sql += \" AND (title LIKE ? OR employer LIKE ?)\"\n args += [f\"%{q}%\"] * 2\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY date_posted IS NULL, date_posted DESC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title_clean\"] or r[\"title\"],\n \"employer\": r[\"employer\"],\n \"city\": r[\"city\"], \"category\": r[\"category\"],\n \"work_mode\": r[\"work_mode\"],\n \"employment_type\": r[\"employment_type\"],\n \"salary_min\": r[\"salary_min\"], \"salary_max\": r[\"salary_max\"],\n \"salary_unit\": r[\"salary_unit\"],\n \"salary_year_min\": r[\"salary_year_min\"],\n \"salary_year_max\": r[\"salary_year_max\"],\n \"date_posted\": r[\"date_posted\"], \"source\": r[\"source\"],\n \"is_direct\": r[\"source\"] not in AGGREGATORS,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n@app.get(\"/api/jobs/{uid}\")\ndef get_job(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM jobs WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n d[\"salary_history\"] = [dict(r) for r in con.execute(\n \"SELECT ts, s_min, s_max, unit FROM salary_log WHERE uid=?\"\n \" ORDER BY ts DESC LIMIT 6\", (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Offre introuvable\")\n return d\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\"\"\"\n con = db.connect()\n base = \" FROM jobs WHERE active=1 AND dup_of IS NULL AND quarantine IS NULL\"\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n f\"SELECT DISTINCT city{base} AND city<>'' ORDER BY city\")],\n # régions administratives (17) — le repli générique « Québec »\n # (appartenance provinciale sans région précise) n'est pas une facette\n \"regions\": [dict(r) for r in con.execute(\n f\"SELECT region, COUNT(*) n{base} AND region<>''\"\n \" AND region<>'Québec' GROUP BY region ORDER BY region\")],\n \"languages\": [dict(r) for r in con.execute(\n f\"SELECT language, COUNT(*) n{base} AND language IS NOT NULL\"\n \" AND language<>'' GROUP BY language ORDER BY n DESC\")],\n \"categories\": [dict(r) for r in con.execute(\n f\"SELECT category, COUNT(*) n{base} AND category<>''\"\n \" GROUP BY category ORDER BY n DESC\")],\n \"employers\": [dict(r) for r in con.execute(\n f\"SELECT employer, COUNT(*) n{base} AND employer<>''\"\n \" GROUP BY employer ORDER BY n DESC LIMIT 100\")],\n \"work_modes\": [r[\"work_mode\"] for r in con.execute(\n f\"SELECT DISTINCT work_mode{base} AND work_mode IS NOT NULL\"\n \" ORDER BY work_mode\")],\n \"employment_types\": [r[\"employment_type\"] for r in con.execute(\n f\"SELECT DISTINCT employment_type{base}\"\n \" AND employment_type IS NOT NULL ORDER BY employment_type\")],\n \"sources\": [dict(r) for r in con.execute(\n f\"SELECT source, COUNT(*) n{base} GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM jobs WHERE active=1 GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_jobs\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT employer) employers,\n COUNT(DISTINCT source) sources,\n SUM(CASE WHEN salary_min IS NOT NULL THEN 1 ELSE 0 END) with_salary,\n AVG(salary_year_min) avg_salary_year,\n SUM(CASE WHEN work_mode='teletravail' THEN 1 ELSE 0 END) remote,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND quarantine IS NULL\"\"\").fetchone()\n quarantined = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1 AND quarantine IS NOT NULL\"\n ).fetchone()[\"n\"]\n cities = [dict(r) for r in con.execute(\n \"\"\"SELECT city, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND city<>''\n GROUP BY city ORDER BY n DESC LIMIT 15\"\"\")]\n categories = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs\n agg = sorted(AGGREGATORS) or [\"__aucun__\"]\n ph = \",\".join(\"?\" * len(agg))\n direct = con.execute(\n f\"\"\"SELECT COUNT(*) n, COUNT(DISTINCT employer) e,\n COUNT(DISTINCT source) s\n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source NOT IN ({ph})\"\"\", agg).fetchone()\n portal = con.execute(\n f\"\"\"SELECT COUNT(*) n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source IN ({ph})\"\"\", agg).fetchone()\n dups = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1\"\n \" AND dup_of IS NOT NULL\").fetchone()\n con.close()\n return {**dict(row), \"top_cities\": cities, \"categories\": categories,\n \"direct_jobs\": direct[\"n\"], \"direct_employers\": direct[\"e\"],\n \"direct_sources\": direct[\"s\"], \"portal_jobs\": portal[\"n\"],\n \"duplicates_hidden\": dups[\"n\"], \"quarantined\": quarantined,\n \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique — contrat commun Groupe KA (SPEC.md).\n Cache mémoire 5 min par clé de période (voir jobka/statsdash.py).\"\"\"\n from . import statsdash\n if period not in (\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport PDF estampillé Groupe-KA — 5 modes : complet | synthese |\n tendances | repartitions | donnees (mode inconnu -> complet).\"\"\"\n from . import kapdf, statsdash\n if period not in (\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"):\n period = \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period, from_, to)\n data = kapdf.GroupeKAReport(\n site={\"wordmark\": \"Job·Ka\", \"accent\": \"#0c8599\",\n \"domain\": \"www.job-ka.com\",\n \"tagline\": \"Tous les emplois des employeurs québécois\"},\n dashboard=dash,\n mode=mode,\n ).build()\n fname = kapdf.filename(\"job-ka\", period, mode)\n return Response(\n content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n# --- Dépôt direct d'offres par les employeurs ---------------------------------\nclass OffreDeposee(BaseModel):\n \"\"\"Offre soumise par un employeur (validation minimale, modérée ensuite).\"\"\"\n\n employer: str = Field(min_length=2, max_length=120)\n title: str = Field(min_length=3, max_length=160)\n description: str = Field(min_length=30, max_length=20000)\n contact_email: str = Field(min_length=5, max_length=160)\n city: str = Field(\"\", max_length=80)\n url: str = Field(\"\", max_length=400)\n salary_label: str = Field(\"\", max_length=120)\n employment_type: str | None = None\n work_mode: str | None = None\n website: str = \"\" # pot de miel anti-robots : doit rester vide\n\n\n@app.post(\"/api/employeurs/offres\")\ndef deposer_offre(offre: OffreDeposee):\n \"\"\"Canal de dépôt direct : l'offre est stockée INACTIVE (source\n « depot-direct ») en attente de modération manuelle. Voir /employeurs.\"\"\"\n if offre.website: # robot pris au pot de miel\n return {\"status\": \"reçu\"}\n if not re.match(r\"^[^@\\s]+@[^@\\s]+\\.[A-Za-z]{2,}$\", offre.contact_email):\n raise HTTPException(422, \"Courriel de contact invalide\")\n if offre.url and not re.match(r\"^https?://\", offre.url):\n raise HTTPException(422, \"Lien invalide : http(s):// requis\")\n if offre.employment_type and offre.employment_type not in (\n \"temps_plein\", \"temps_partiel\", \"contractuel\", \"stage\", \"saisonnier\"):\n raise HTTPException(422, \"Type d'emploi inconnu\")\n if offre.work_mode and offre.work_mode not in (\n \"presentiel\", \"hybride\", \"teletravail\"):\n raise HTTPException(422, \"Mode de travail inconnu\")\n\n job = JobPosting(\n source=\"depot-direct\", external_id=secrets.token_hex(6),\n url=offre.url, employer=offre.employer, title=offre.title,\n description=offre.description, city=offre.city,\n salary_label=offre.salary_label,\n employment_type=offre.employment_type, work_mode=offre.work_mode,\n ats=\"depot-direct\",\n )\n job.details[\"contact_email\"] = offre.contact_email\n job.details[\"moderation\"] = \"en_attente\"\n job.finalize()\n\n now = time.time()\n cols = {\n \"uid\": job.uid, \"source\": job.source, \"external_id\": job.external_id,\n \"url\": job.url, \"employer\": job.employer, \"title\": job.title,\n \"description\": job.description, \"city\": job.city,\n \"region\": job.region, \"postal_code\": job.postal_code,\n \"location_label\": job.location_label, \"work_mode\": job.work_mode,\n \"employment_type\": job.employment_type,\n \"salary_min\": job.salary_min, \"salary_max\": job.salary_max,\n \"salary_unit\": job.salary_unit, \"salary_label\": job.salary_label,\n \"salary_year_min\": job.salary_year_min(),\n \"salary_year_max\": job.salary_year_max(),\n \"salary_hour_min\": job.salary_hour_min(),\n \"salary_hour_max\": job.salary_hour_max(),\n \"benefits\": json.dumps(job.benefits, ensure_ascii=False),\n \"requirements\": json.dumps(job.requirements, ensure_ascii=False),\n \"category\": job.category, \"ats\": job.ats,\n \"details\": json.dumps(job.details, ensure_ascii=False),\n \"content_hash\": job.content_hash(),\n \"first_seen\": now, \"last_seen\": now, \"updated_at\": now,\n \"miss_count\": 0, \"active\": 0, # inactive tant que non modérée\n }\n con = db.connect()\n con.execute(\n f\"INSERT INTO jobs ({', '.join(cols)}) VALUES \"\n f\"({', '.join(':' + k for k in cols)})\", cols)\n con.commit()\n con.close()\n return {\"status\": \"reçu\", \"uid\": job.uid,\n \"message\": \"Merci ! Votre offre a bien été reçue. Elle sera \"\n \"vérifiée par notre équipe avant publication.\"}\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend (build Vite) ---------------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # SEO : SSR léger des routes publiques (accueil, fiches emploi, pages\n # statiques), robots.txt et sitemaps — DOIT être inclus AVANT le\n # rattrape-tout SPA ci-dessous (l'ordre d'enregistrement fait foi).\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Bundles hachés (/assets/…) immuables ; index.html TOUJOURS revalidé —\n sinon les navigateurs gardent une vieille version après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes rendues uniquement côté client — tout autre chemin inconnu renvoie\n # index.html avec un statut 404 (pas de soft-404 pour les moteurs)\n _CLIENT_ROUTES = {\"carte\", \"sources\", \"stats\", \"contact\", \"employeurs\",\n \"confidentialite\", \"conditions\"}\n _CLIENT_PREFIXES = (\"emploi/\",)\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path == \"\" or full_path in _CLIENT_ROUTES\n or any(full_path.startswith(p) for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":302,"oldLines":7,"newStart":302,"newLines":7,"lines":[" "," "," @app.get(\"/api/stats\")","-def stats():","+def stats(syncs_since_h: float | None = None):"," con = db.connect()"," row = con.execute("," \"\"\"SELECT COUNT(*) total,"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fPPWWh3WBrVkxNkrT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01As5xZxtJHB32KuKKnSFsrB","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py","old_string":" log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs","new_string":" # Fenêtre élargie pour la supervision (api-ka) : sans le paramètre, on\n # garde les 20 dernières entrées ; avec, toute l'activité de la fenêtre\n # (sinon le moniteur bi-horaire ne voit qu'une fraction de la rotation\n # des sources → fausses alertes « stale »).\n if syncs_since_h and syncs_since_h > 0:\n cutoff = time.time() - syncs_since_h * 3600\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log WHERE ts >= ? ORDER BY ts DESC LIMIT 4000\",\n (cutoff,))]\n if len(log) < 20:\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n else:\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":672,"cache_read_input_tokens":172489,"cache_creation":{"ephemeral_5m_input_tokens":672,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"09a1d522-4fab-4d3f-b5c0-c965695d552b","request_id":"req_011CeK6fMvhbbSr4aZmCww2N"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01As5xZxtJHB32KuKKnSFsrB","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/job-ka/jobka/web.py has been updated successfully. (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ec205f99-d8af-411f-9db3-8aea00a28a5d","timestamp":"2026-08-23T05:06:03.699Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/job-ka/jobka/web.py","oldString":" log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs","newString":" # Fenêtre élargie pour la supervision (api-ka) : sans le paramètre, on\n # garde les 20 dernières entrées ; avec, toute l'activité de la fenêtre\n # (sinon le moniteur bi-horaire ne voit qu'une fraction de la rotation\n # des sources → fausses alertes « stale »).\n if syncs_since_h and syncs_since_h > 0:\n cutoff = time.time() - syncs_since_h * 3600\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log WHERE ts >= ? ORDER BY ts DESC LIMIT 4000\",\n (cutoff,))]\n if len(log) < 20:\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n else:\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs","originalFile":"# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/web.py\n# Rôle : API FastAPI (JSON) + healthcheck + service du frontend (frontend/dist)\n# Créé : 2026-08-17 Modifié : 2026-08-17\n# =============================================================================\nfrom __future__ import annotations\n\nimport json\nimport re\nimport secrets\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, Response\nfrom fastapi.staticfiles import StaticFiles\nfrom pydantic import BaseModel, Field\n\nfrom . import auth, db, ingest\nfrom .dedup import AGGREGATORS\nfrom .schema import JobPosting\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Job-Ka API\", version=\"1.0\",\n description=\"Agrégateur d'offres d'emploi — employeurs québécois, \"\n \"directement à la source\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n# connexion KA ID (SSO du hub groupe-ka.com) — voir jobka/auth.py\napp.include_router(auth.router)\n\n_sync_lock = threading.Lock()\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"benefits\"] = json.loads(d.get(\"benefits\") or \"[]\")\n d[\"requirements\"] = json.loads(d.get(\"requirements\") or \"{}\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\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 # offre directe = page carrière de l'employeur ou dépôt direct (≠ portail)\n d[\"is_direct\"] = d.get(\"source\") not in AGGREGATORS\n return d\n\n\n@app.get(\"/health\")\ndef health():\n \"\"\"Healthcheck de déploiement : BD accessible + fraîcheur des syncs.\"\"\"\n try:\n con = db.connect()\n total = con.execute(\n \"SELECT COUNT(*) c FROM jobs WHERE active=1\").fetchone()[\"c\"]\n last = con.execute(\n \"SELECT MAX(ts) ts FROM sync_log WHERE ok=1\").fetchone()[\"ts\"]\n con.close()\n except Exception as exc:\n raise HTTPException(500, f\"BD inaccessible : {exc}\")\n return {\"status\": \"ok\", \"active_jobs\": total,\n \"last_sync_age_s\": round(time.time() - last) if last else None}\n\n\n@app.get(\"/api/jobs\")\ndef list_jobs(\n city: str | None = None,\n region: str | None = None,\n category: str | None = None,\n employer: str | None = None,\n source: str | None = None,\n work_mode: str | None = None,\n employment_type: str | None = None,\n salary_min: float | None = None, # $/an (converti côté serveur)\n with_salary: int | None = None, # 1 = transparence salariale seulement\n posted_after: str | None = None, # ISO : offres publiées depuis…\n language: str | None = None, # fr | en | bilingue\n q: str | None = None,\n active: int = 1,\n quarantined: int | None = None, # 1 = quarantaine seulement (supervision)\n sort: str = \"recent\", # recent | salary\n limit: int = Query(100, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM jobs WHERE dup_of IS NULL\" # doublons masqués\n args: list = []\n # quarantaine qualité : jamais publiée par défaut (voir jobka/quality.py)\n sql += \" AND quarantine IS NOT NULL\" if quarantined == 1 \\\n else \" AND quarantine IS NULL\"\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if city:\n sql += \" AND city=?\"; args.append(city)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if language:\n sql += \" AND language=?\"; args.append(language)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if employer:\n sql += \" AND employer LIKE ?\"; args.append(f\"%{employer}%\")\n if source:\n sql += \" AND source=?\"; args.append(source)\n if work_mode:\n sql += \" AND work_mode=?\"; args.append(work_mode)\n if employment_type:\n sql += \" AND employment_type=?\"; args.append(employment_type)\n if salary_min is not None:\n sql += (\" AND salary_year_max IS NOT NULL AND salary_year_max>=?\")\n args.append(salary_min)\n if with_salary == 1:\n sql += \" AND salary_min IS NOT NULL\"\n if posted_after:\n sql += \" AND date_posted IS NOT NULL AND date_posted>=?\"\n args.append(posted_after)\n if q:\n sql += \" AND (title LIKE ? OR employer LIKE ? OR description LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"salary\":\n sql += \" ORDER BY salary_year_max IS NULL, salary_year_max DESC\"\n else:\n sql += \" ORDER BY date_posted IS NULL, date_posted DESC, first_seen DESC\"\n sql += \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = []\n for r in con.execute(sql, args).fetchall():\n d = _row_to_dict(r)\n d.pop(\"description\", None) # liste allégée : la fiche a le texte complet\n rows.append(d)\n con.close()\n return {\"total\": total, \"count\": len(rows), \"jobs\": rows}\n\n\n@app.get(\"/api/jobs.geojson\")\ndef jobs_geojson(\n city: str | None = None,\n region: str | None = None,\n category: str | None = None,\n work_mode: str | None = None,\n employment_type: str | None = None,\n salary_min: float | None = None,\n with_salary: int | None = None,\n language: str | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Offres géolocalisées au format GeoJSON (mêmes filtres que /api/jobs).\n\n `bbox=ouest,sud,est,nord` restreint au rectangle visible (idx_jobs_geo).\n Membres additionnels : `totalGeocoded` / `totalMatching` pour afficher\n « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, title_clean, employer, city, category, work_mode,\"\n \" employment_type, salary_min, salary_max, salary_unit,\"\n \" salary_year_min, salary_year_max, date_posted, source, lat, lng\"\n \" FROM jobs WHERE active=1 AND dup_of IS NULL AND quarantine IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if work_mode:\n sql += \" AND work_mode=?\"; args.append(work_mode)\n if employment_type:\n sql += \" AND employment_type=?\"; args.append(employment_type)\n if salary_min is not None:\n sql += \" AND salary_year_max IS NOT NULL AND salary_year_max>=?\"\n args.append(salary_min)\n if with_salary == 1:\n sql += \" AND salary_min IS NOT NULL\"\n if language:\n sql += \" AND language=?\"; args.append(language)\n if q:\n sql += \" AND (title LIKE ? OR employer LIKE ?)\"\n args += [f\"%{q}%\"] * 2\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY date_posted IS NULL, date_posted DESC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title_clean\"] or r[\"title\"],\n \"employer\": r[\"employer\"],\n \"city\": r[\"city\"], \"category\": r[\"category\"],\n \"work_mode\": r[\"work_mode\"],\n \"employment_type\": r[\"employment_type\"],\n \"salary_min\": r[\"salary_min\"], \"salary_max\": r[\"salary_max\"],\n \"salary_unit\": r[\"salary_unit\"],\n \"salary_year_min\": r[\"salary_year_min\"],\n \"salary_year_max\": r[\"salary_year_max\"],\n \"date_posted\": r[\"date_posted\"], \"source\": r[\"source\"],\n \"is_direct\": r[\"source\"] not in AGGREGATORS,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n@app.get(\"/api/jobs/{uid}\")\ndef get_job(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM jobs WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n d[\"salary_history\"] = [dict(r) for r in con.execute(\n \"SELECT ts, s_min, s_max, unit FROM salary_log WHERE uid=?\"\n \" ORDER BY ts DESC LIMIT 6\", (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Offre introuvable\")\n return d\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\"\"\"\n con = db.connect()\n base = \" FROM jobs WHERE active=1 AND dup_of IS NULL AND quarantine IS NULL\"\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n f\"SELECT DISTINCT city{base} AND city<>'' ORDER BY city\")],\n # régions administratives (17) — le repli générique « Québec »\n # (appartenance provinciale sans région précise) n'est pas une facette\n \"regions\": [dict(r) for r in con.execute(\n f\"SELECT region, COUNT(*) n{base} AND region<>''\"\n \" AND region<>'Québec' GROUP BY region ORDER BY region\")],\n \"languages\": [dict(r) for r in con.execute(\n f\"SELECT language, COUNT(*) n{base} AND language IS NOT NULL\"\n \" AND language<>'' GROUP BY language ORDER BY n DESC\")],\n \"categories\": [dict(r) for r in con.execute(\n f\"SELECT category, COUNT(*) n{base} AND category<>''\"\n \" GROUP BY category ORDER BY n DESC\")],\n \"employers\": [dict(r) for r in con.execute(\n f\"SELECT employer, COUNT(*) n{base} AND employer<>''\"\n \" GROUP BY employer ORDER BY n DESC LIMIT 100\")],\n \"work_modes\": [r[\"work_mode\"] for r in con.execute(\n f\"SELECT DISTINCT work_mode{base} AND work_mode IS NOT NULL\"\n \" ORDER BY work_mode\")],\n \"employment_types\": [r[\"employment_type\"] for r in con.execute(\n f\"SELECT DISTINCT employment_type{base}\"\n \" AND employment_type IS NOT NULL ORDER BY employment_type\")],\n \"sources\": [dict(r) for r in con.execute(\n f\"SELECT source, COUNT(*) n{base} GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM jobs WHERE active=1 GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_jobs\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats(syncs_since_h: float | None = None):\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT employer) employers,\n COUNT(DISTINCT source) sources,\n SUM(CASE WHEN salary_min IS NOT NULL THEN 1 ELSE 0 END) with_salary,\n AVG(salary_year_min) avg_salary_year,\n SUM(CASE WHEN work_mode='teletravail' THEN 1 ELSE 0 END) remote,\n SUM(CASE WHEN lat IS NOT NULL THEN 1 ELSE 0 END) geocoded\n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND quarantine IS NULL\"\"\").fetchone()\n quarantined = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1 AND quarantine IS NOT NULL\"\n ).fetchone()[\"n\"]\n cities = [dict(r) for r in con.execute(\n \"\"\"SELECT city, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND city<>''\n GROUP BY city ORDER BY n DESC LIMIT 15\"\"\")]\n categories = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n FROM jobs\n WHERE active=1 AND dup_of IS NULL AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # offres directes (pages carrières + dépôt direct) c. portails agrégateurs\n agg = sorted(AGGREGATORS) or [\"__aucun__\"]\n ph = \",\".join(\"?\" * len(agg))\n direct = con.execute(\n f\"\"\"SELECT COUNT(*) n, COUNT(DISTINCT employer) e,\n COUNT(DISTINCT source) s\n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source NOT IN ({ph})\"\"\", agg).fetchone()\n portal = con.execute(\n f\"\"\"SELECT COUNT(*) n FROM jobs WHERE active=1 AND dup_of IS NULL\n AND source IN ({ph})\"\"\", agg).fetchone()\n dups = con.execute(\n \"SELECT COUNT(*) n FROM jobs WHERE active=1\"\n \" AND dup_of IS NOT NULL\").fetchone()\n con.close()\n return {**dict(row), \"top_cities\": cities, \"categories\": categories,\n \"direct_jobs\": direct[\"n\"], \"direct_employers\": direct[\"e\"],\n \"direct_sources\": direct[\"s\"], \"portal_jobs\": portal[\"n\"],\n \"duplicates_hidden\": dups[\"n\"], \"quarantined\": quarantined,\n \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique — contrat commun Groupe KA (SPEC.md).\n Cache mémoire 5 min par clé de période (voir jobka/statsdash.py).\"\"\"\n from . import statsdash\n if period not in (\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport PDF estampillé Groupe-KA — 5 modes : complet | synthese |\n tendances | repartitions | donnees (mode inconnu -> complet).\"\"\"\n from . import kapdf, statsdash\n if period not in (\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"):\n period = \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period, from_, to)\n data = kapdf.GroupeKAReport(\n site={\"wordmark\": \"Job·Ka\", \"accent\": \"#0c8599\",\n \"domain\": \"www.job-ka.com\",\n \"tagline\": \"Tous les emplois des employeurs québécois\"},\n dashboard=dash,\n mode=mode,\n ).build()\n fname = kapdf.filename(\"job-ka\", period, mode)\n return Response(\n content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n# --- Dépôt direct d'offres par les employeurs ---------------------------------\nclass OffreDeposee(BaseModel):\n \"\"\"Offre soumise par un employeur (validation minimale, modérée ensuite).\"\"\"\n\n employer: str = Field(min_length=2, max_length=120)\n title: str = Field(min_length=3, max_length=160)\n description: str = Field(min_length=30, max_length=20000)\n contact_email: str = Field(min_length=5, max_length=160)\n city: str = Field(\"\", max_length=80)\n url: str = Field(\"\", max_length=400)\n salary_label: str = Field(\"\", max_length=120)\n employment_type: str | None = None\n work_mode: str | None = None\n website: str = \"\" # pot de miel anti-robots : doit rester vide\n\n\n@app.post(\"/api/employeurs/offres\")\ndef deposer_offre(offre: OffreDeposee):\n \"\"\"Canal de dépôt direct : l'offre est stockée INACTIVE (source\n « depot-direct ») en attente de modération manuelle. Voir /employeurs.\"\"\"\n if offre.website: # robot pris au pot de miel\n return {\"status\": \"reçu\"}\n if not re.match(r\"^[^@\\s]+@[^@\\s]+\\.[A-Za-z]{2,}$\", offre.contact_email):\n raise HTTPException(422, \"Courriel de contact invalide\")\n if offre.url and not re.match(r\"^https?://\", offre.url):\n raise HTTPException(422, \"Lien invalide : http(s):// requis\")\n if offre.employment_type and offre.employment_type not in (\n \"temps_plein\", \"temps_partiel\", \"contractuel\", \"stage\", \"saisonnier\"):\n raise HTTPException(422, \"Type d'emploi inconnu\")\n if offre.work_mode and offre.work_mode not in (\n \"presentiel\", \"hybride\", \"teletravail\"):\n raise HTTPException(422, \"Mode de travail inconnu\")\n\n job = JobPosting(\n source=\"depot-direct\", external_id=secrets.token_hex(6),\n url=offre.url, employer=offre.employer, title=offre.title,\n description=offre.description, city=offre.city,\n salary_label=offre.salary_label,\n employment_type=offre.employment_type, work_mode=offre.work_mode,\n ats=\"depot-direct\",\n )\n job.details[\"contact_email\"] = offre.contact_email\n job.details[\"moderation\"] = \"en_attente\"\n job.finalize()\n\n now = time.time()\n cols = {\n \"uid\": job.uid, \"source\": job.source, \"external_id\": job.external_id,\n \"url\": job.url, \"employer\": job.employer, \"title\": job.title,\n \"description\": job.description, \"city\": job.city,\n \"region\": job.region, \"postal_code\": job.postal_code,\n \"location_label\": job.location_label, \"work_mode\": job.work_mode,\n \"employment_type\": job.employment_type,\n \"salary_min\": job.salary_min, \"salary_max\": job.salary_max,\n \"salary_unit\": job.salary_unit, \"salary_label\": job.salary_label,\n \"salary_year_min\": job.salary_year_min(),\n \"salary_year_max\": job.salary_year_max(),\n \"salary_hour_min\": job.salary_hour_min(),\n \"salary_hour_max\": job.salary_hour_max(),\n \"benefits\": json.dumps(job.benefits, ensure_ascii=False),\n \"requirements\": json.dumps(job.requirements, ensure_ascii=False),\n \"category\": job.category, \"ats\": job.ats,\n \"details\": json.dumps(job.details, ensure_ascii=False),\n \"content_hash\": job.content_hash(),\n \"first_seen\": now, \"last_seen\": now, \"updated_at\": now,\n \"miss_count\": 0, \"active\": 0, # inactive tant que non modérée\n }\n con = db.connect()\n con.execute(\n f\"INSERT INTO jobs ({', '.join(cols)}) VALUES \"\n f\"({', '.join(':' + k for k in cols)})\", cols)\n con.commit()\n con.close()\n return {\"status\": \"reçu\", \"uid\": job.uid,\n \"message\": \"Merci ! Votre offre a bien été reçue. Elle sera \"\n \"vérifiée par notre équipe avant publication.\"}\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend (build Vite) ---------------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # SEO : SSR léger des routes publiques (accueil, fiches emploi, pages\n # statiques), robots.txt et sitemaps — DOIT être inclus AVANT le\n # rattrape-tout SPA ci-dessous (l'ordre d'enregistrement fait foi).\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Bundles hachés (/assets/…) immuables ; index.html TOUJOURS revalidé —\n sinon les navigateurs gardent une vieille version après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes rendues uniquement côté client — tout autre chemin inconnu renvoie\n # index.html avec un statut 404 (pas de soft-404 pour les moteurs)\n _CLIENT_ROUTES = {\"carte\", \"sources\", \"stats\", \"contact\", \"employeurs\",\n \"confidentialite\", \"conditions\"}\n _CLIENT_PREFIXES = (\"emploi/\",)\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path == \"\" or full_path in _CLIENT_ROUTES\n or any(full_path.startswith(p) for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":325,"oldLines":8,"newStart":325,"newLines":21,"lines":[" \"\"\"SELECT category, COUNT(*) n FROM jobs"," WHERE active=1 AND dup_of IS NULL AND category<>''"," GROUP BY category ORDER BY n DESC\"\"\")]","- log = [dict(r) for r in con.execute(","- \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]","+ # Fenêtre élargie pour la supervision (api-ka) : sans le paramètre, on","+ # garde les 20 dernières entrées ; avec, toute l'activité de la fenêtre","+ # (sinon le moniteur bi-horaire ne voit qu'une fraction de la rotation","+ # des sources → fausses alertes « stale »).","+ if syncs_since_h and syncs_since_h > 0:","+ cutoff = time.time() - syncs_since_h * 3600","+ log = [dict(r) for r in con.execute(","+ \"SELECT * FROM sync_log WHERE ts >= ? ORDER BY ts DESC LIMIT 4000\",","+ (cutoff,))]","+ if len(log) < 20:","+ log = [dict(r) for r in con.execute(","+ \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]","+ else:","+ log = [dict(r) for r in con.execute(","+ \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]"," # offres directes (pages carrières + dépôt direct) c. portails agrégateurs"," agg = sorted(AGGREGATORS) or [\"__aucun__\"]"," ph = \",\".join(\"?\" * len(agg))"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ce75a68b-51a5-4cb7-82d1-f5e13d0c7bb5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} 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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fGwZVzuJAaxetE7y7","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":2426,"cache_read_input_tokens":38097,"cache_creation":{"ephemeral_5m_input_tokens":2426,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"df0a13ee-a634-4616-aea7-82d1fbb179ee","request_id":"req_011CeK6fFdvmdAT8S75yuViY","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fGwZVzuJAaxetE7y7","type":"message","role":"assistant","content":[{"type":"text","text":"167 des 246 magasins à zéro sont des Wix — piste d'un pattern commun. Testons en live."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2426,"cache_read_input_tokens":38097,"cache_creation":{"ephemeral_5m_input_tokens":2426,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ebe59927-239c-494a-a127-49c3e0b56673","request_id":"req_011CeK6fFdvmdAT8S75yuViY","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fGwZVzuJAaxetE7y7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018ifAj1VdbpKSKSDoSzN3Ce","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/fabri-ka && sqlite3 data/fabrika.db \"SELECT platform, COUNT(*), SUM(product_count>0) FROM stores WHERE id IN (SELECT store_id FROM sync_log WHERE ts>strftime(\\\"%s\\\",\\\"now\\\")-2*86400) GROUP BY platform;\"'","description":"Compare working vs zero stores per platform"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2426,"cache_read_input_tokens":38097,"cache_creation":{"ephemeral_5m_input_tokens":2426,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e80345c2-6dc4-4ed0-aceb-7c4ebc7ef5af","request_id":"req_011CeK6fFdvmdAT8S75yuViY","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Compare working vs zero stores per platform","subagent_type":"general-purpose","usage":{"total_tokens":40661,"tool_uses":14,"duration_ms":87356},"last_tool_name":"Bash","uuid":"788dc885-9602-4b52-948a-f4628d441d00","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018ifAj1VdbpKSKSDoSzN3Ce","type":"tool_result","content":"generic|22|15\nlightspeed|5|5\nprestashop|2|2\nshopify|712|690\nsnipcart|1|1\nsquare|36|36\nsquarespace|27|23\nwix|393|223\nwoocommerce|548|505\nwordpress|1|1","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"987ddde3-d834-46f6-a9b3-38d62bf08f19","timestamp":"2026-08-23T05:06:06.660Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6f1pifsadAAEVAs9HQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UAXLznjmCeXYcJJJwX4aGY","name":"Write","input":{"file_path":"/tmp/fk_analyze.py","content":"import time, json\nfrom foodka import db\n\ncon = db.connect()\nnow = time.time()\nrows = con.execute(\"SELECT source, MAX(CASE WHEN ok=1 THEN ts END) last_ok,\"\n \" MAX(ts) last_any, COUNT(*) n FROM sync_log GROUP BY source\").fetchall()\nprint(\"sources totales:\", len(rows))\nfor r in sorted(rows, key=lambda r: (r[\"last_ok\"] or 0)):\n lo = r[\"last_ok\"]\n age = None if lo is None else round((now - lo) / 3600, 1)\n print(\"%-24s dernier_ok_h=%-8s derniere_entree_h=%-8s n=%s\" %\n (r[\"source\"], age, round((now - r[\"last_any\"]) / 3600, 1), r[\"n\"]))\n\nprint(\"\\n--- echecs (ok=0) sur 7 jours ---\")\nfor r in con.execute(\"SELECT source, COUNT(*) c, MAX(message) msg FROM sync_log\"\n \" WHERE ok=0 AND ts >= ? GROUP BY source ORDER BY c DESC\",\n (now - 7*86400,)):\n print(dict(r))\n\nprint(\"\\n--- volume 'found' par source : moyenne 14-7j vs 7 derniers jours ---\")\nq = \"\"\"SELECT source,\n AVG(CASE WHEN ts BETWEEN ? AND ? THEN found END) prev,\n AVG(CASE WHEN ts >= ? THEN found END) recent,\n COUNT(CASE WHEN ts >= ? THEN 1 END) n_recent\n FROM sync_log WHERE ok=1 GROUP BY source\"\"\"\nt14, t7 = now - 14*86400, now - 7*86400\ntot_prev = tot_rec = 0\nfor r in con.execute(q, (t14, t7, t7, t7)):\n prev = r[\"prev\"] or 0; rec = r[\"recent\"] or 0\n tot_prev += prev; tot_rec += rec\n delta = rec - prev\n flag = \" <<<\" if prev > 0 and (rec - prev) / max(prev, 1) < -0.15 else \"\"\n print(\"%-24s prev=%-8.1f recent=%-8.1f delta=%+8.1f n_rec=%s%s\" %\n (r[\"source\"], prev, rec, delta, r[\"n_recent\"], flag))\nprint(\"TOTAL found/sync : prev=%.0f recent=%.0f (%+.1f%%)\" %\n (tot_prev, tot_rec, 100*(tot_rec-tot_prev)/max(tot_prev, 1)))\n\nprint(\"\\n--- produits actifs par source (base) ---\")\nfor r in con.execute(\"SELECT source, COUNT(*) n FROM products WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\"):\n print(\"%-24s %s\" % (r[\"source\"], r[\"n\"]))\nprint(\"total actifs:\", con.execute(\"SELECT COUNT(*) c FROM products WHERE active=1\").fetchone()[\"c\"])\n\nprint(\"\\n--- historique first_seen/last_seen si dispo : actifs vus par jour (14j) ---\")\ntry:\n for r in con.execute(\"SELECT date(last_seen,'unixepoch') d, COUNT(*) n FROM products\"\n \" WHERE last_seen >= ? GROUP BY d ORDER BY d\", (now - 14*86400,)):\n print(dict(r))\nexcept Exception as e:\n print(\"n/a:\", e)\n"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1446,"cache_read_input_tokens":30031,"cache_creation":{"ephemeral_5m_input_tokens":1446,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"659a6c64-76d2-4618-8b61-59bc6117f074","request_id":"req_011CeK6ezaJv5UQs3yggFW5J","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Writing /tmp/fk_analyze.py","subagent_type":"general-purpose","usage":{"total_tokens":31584,"tool_uses":10,"duration_ms":69377},"last_tool_name":"Write","uuid":"9895b477-8254-4f94-82df-04d1fe677a82","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UAXLznjmCeXYcJJJwX4aGY","type":"tool_result","content":"File created successfully at: /tmp/fk_analyze.py (file state is current in your context — no need to Read it back)"}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d90a306c-2ee0-411d-bfa9-76a273cdd6a7","timestamp":"2026-08-23T05:06:06.768Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"84ce934e-ce4c-470b-ab4b-0a0c5b3b567f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":113,"estimated_tokens_delta":63,"uuid":"6d67a306-73ff-4a54-967e-6384266d22b5","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6g98Y99v9GFK2GuN5S","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":990,"cache_read_input_tokens":173161,"cache_creation":{"ephemeral_5m_input_tokens":990,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d32e054a-2b44-4ee6-8429-cb0b66977e94","request_id":"req_011CeK6g66izrVTB9ZMZhdZ9"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6fGwZVzuJAaxetE7y7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QyWVeNogh5ZwxP1wq2L4Xa","name":"Bash","input":{"command":"for u in https://www.wilsy.ca https://www.vergerlabonte.com https://www.visionartproductions.com https://www.origin-north.ai https://www.rose.ca https://saveursmitis.com https://canadel.com; do echo \"== $u\"; curl -sL -o /dev/null -w \"%{http_code} %{url_effective}\\n\" --max-time 20 \"$u\"; done","description":"Test the 7 broken store sites live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2426,"cache_read_input_tokens":38097,"cache_creation":{"ephemeral_5m_input_tokens":2426,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"37b40d06-81e7-4014-8dbe-c51d05fe4616","request_id":"req_011CeK6fFdvmdAT8S75yuViY","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Test the 7 broken store sites 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connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6e87xaVEdsSGwj4wCX","type":"message","role":"assistant","content":[{"type":"text","text":"J'ai tout ce qu'il faut pour tri_logis (payload RSC serveur : liste `units` + galerie `photos` sur la fiche). Avant d'écrire, je regarde les 3 autres connecteurs et le sync_log."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5156,"cache_read_input_tokens":52636,"cache_creation":{"ephemeral_5m_input_tokens":5156,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4e69d98f-e400-423c-b7c5-6592b2e430a6","request_id":"req_011CeK6e7AAR87b2vq56fyJ2","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6g98Y99v9GFK2GuN5S","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0115XEQqyV4poaLjcAyrsDAj","name":"Bash","input":{"command":"cd ~/apps/job-ka && .venv/bin/python -m py_compile jobka/web.py && echo SYNTAX-OK && pm2 restart job-ka-web --update-env >/dev/null 2>&1 && sleep 3 && curl -s \"http://127.0.0.1:8096/api/stats\" | python3 -c \"import json,sys; d=json.load(sys.stdin); print('défaut:', len(d['recent_syncs']))\" && curl -s \"http://127.0.0.1:8096/api/stats?syncs_since_h=6\" | python3 -c \"import json,sys; d=json.load(sys.stdin); print('6h:', len(d['recent_syncs']), 'sources:', len({e['source'] for e in d['recent_syncs']}))\"","description":"Test job-ka syncs_since_h parameter"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":990,"cache_read_input_tokens":173161,"cache_creation":{"ephemeral_5m_input_tokens":990,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0e052143-c813-426f-8678-3abc7a77e007","request_id":"req_011CeK6g66izrVTB9ZMZhdZ9"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ffeogE133VNwGZLXr","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01MKr47nHFVBRsR83woKF9eG","name":"Bash","input":{"command":"curl -s --max-time 30 \"https://api-v1.source.immo/api/listing/view/25cb8710-6c99-47ce-b137-8c667b63062c/fr/items\" -H \"x-si-account: 08d1a0fd-0673-48d0-bb86-e40fe529bfdb\" -H \"x-si-api: 80e7941c-66b1-45a0-b6e0-622b401367e0\" -H \"x-si-appId: ead7575f-8d1c-42e7-9f59-4cf9e065167e\" -H \"Accept: application/json\" | python3 -c \"\nimport json,sys\nd=json.load(sys.stdin)\nitems=d.get('items',[])\nprint('total:',len(items),'meta:',d.get('metadata',{}).get('item_count'))\nfrom collections import Counter\nprint(Counter((it.get('status_code'), it.get('for_sale_flag'), it.get('for_rent_flag')) for it in items))\nfor it in items:\n if it.get('for_sale_flag') and (it.get('status_code') or '').upper() in ('','AVAILABLE'):\n print('FOR SALE:', it.get('ref_number'), it.get('status_code'))\n\"","description":"Analyze status of all niddamour 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WordPress + Beaver Builder +\n# plugin maison « realestate », tout rendu serveur. Liste /location/tous/\n# (taxonomie real-estate-location) : cartes `.real-estate-box` avec type\n# (« 1 1/2 »), adresse, prix (« 700 $ / mois »), inclusions et date « Libre\n# le » ; quand aucun logement n'est libre, la page affiche « Aucun logement\n# disponible… » et le connecteur retourne une liste vide — situation normale\n# sur ce marché (taux d'inoccupation très bas au Saguenay). Fiche détail\n# /immobilier/<slug>/ (via cache BD) : description, caractéristiques\n# (taxonomie real-estate-characteristic), GPS (carte Google du plugin) et\n# secteur (lien « Retour » vers /location/<secteur>/).\n# robots.txt Yoast ouvert, sitemaps real-estate-location/-characteristic.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport hashlib\nimport re\nfrom urllib.parse import unquote\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type, parse_price, strip_accents\nfrom .base import BaseConnector\n\nBASE = \"https://gestioncourtemanche.ca\"\nLIST_URL = f\"{BASE}/location/tous/\"\n\n_BG_URL_RE = re.compile(r\"background-image\\s*:\\s*url\\(([^)]+)\\)\")\n_MAP_LATLNG_RE = re.compile(r\"LatLng\\((-?\\d+\\.\\d+),\\s*(-?\\d+\\.\\d+)\\)\")\n\n# libellés des secteurs (taxonomie real-estate-location du site)\n_SECTORS = {\n \"chicoutimi-centres-commerciaux\": \"Chicoutimi — Centres commerciaux\",\n \"chicoutimi-uqac-cegep\": \"Chicoutimi — UQAC/CÉGEP\",\n \"chicoutimi-nord\": \"Chicoutimi-Nord\",\n}\n\n\nclass CourtemancheConnector(BaseConnector):\n source_id = \"courtemanche\"\n request_delay = 0.6\n max_details = 40 # garde-fou fiches détail (vraies requêtes par sync)\n\n def fetch(self) -> list[Listing]:\n html = self.get(LIST_URL).text\n soup = BeautifulSoup(html, \"html.parser\")\n\n self._fetched = 0\n listings: dict[str, Listing] = {}\n # cartes présentes seulement quand des logements sont libres ; sinon la\n # page affiche « Aucun logement disponible dans ce secteur… » -> []\n for card in soup.select(\".real-estate-list .real-estate-box\"):\n try:\n self._parse_card(card, listings)\n except Exception:\n continue\n return list(listings.values())\n\n # -- carte (plugin realestate) ---------------------------------------------------\n def _parse_card(self, card, listings: dict[str, Listing]) -> None:\n link = card.select_one('a.real-estate-gallery[href*=\"/immobilier/\"]') \\\n or card.select_one('a[href*=\"/immobilier/\"]')\n if not link:\n return\n url = link[\"href\"]\n m = re.search(r\"/immobilier/([^/?#]+)\", url)\n if not m:\n return\n ext_id = unquote(m.group(1)).strip(\"/\")\n if not ext_id or ext_id in listings:\n return\n\n infos = card.select_one(\".real-estate-infos\")\n if not infos:\n return\n type_el = infos.select_one(\".type\")\n unit_label = type_el.get_text(strip=True) if type_el else \"\"\n addr_el = infos.select_one(\".address\")\n address = re.sub(r\"\\s+\", \" \",\n addr_el.get_text(\" \", strip=True)) if addr_el else \"\"\n\n # <dl> : Prix (« 700 $ / mois »), Inclus, Disponible le (AAAA-MM-JJ)\n price_el = infos.select_one(\"dd.prix\")\n price_label = re.sub(r\"\\s+\", \" \",\n price_el.get_text(\" \", strip=True)) if price_el else \"\"\n incl_el = infos.select_one(\"dd.inclus\")\n included = incl_el.get_text(\" \", strip=True) if incl_el else \"\"\n libre_el = infos.select_one(\"dd.libre\")\n availability = libre_el.get_text(strip=True) if libre_el else \"\"\n\n # galerie : diaporama en background-image (liste et fiche)\n images: list[str] = []\n for div in card.select(\".real-estate-gallery div[style]\"):\n m_bg = _BG_URL_RE.search(div.get(\"style\", \"\"))\n if m_bg:\n u = m_bg.group(1).strip(\"'\\\" \")\n if u.startswith(\"http\") and u not in images:\n images.append(u)\n\n amenities = [f\"Inclus : {included}\"] if included else []\n\n lst = Listing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=f\"{unit_label} — {address}\".strip(\" —\"),\n address=address,\n city=\"Saguenay\", # parc à Chicoutimi (ville de Saguenay)\n unit_type=normalize_unit_type(unit_label),\n price=parse_price(price_label),\n price_label=price_label,\n availability=availability,\n amenities=amenities,\n images=images[:25],\n )\n\n key = hashlib.sha1(\n f\"{unit_label}|{price_label}|{availability}|{included}\"\n .encode(\"utf-8\")).hexdigest()\n try:\n payload = self.detail(ext_id, key,\n lambda u=url: self._fetch_detail(u))\n self._apply_detail(lst, payload)\n except Exception:\n pass\n listings[ext_id] = lst\n\n # -- fiche détail (/immobilier/<slug>/) --------------------------------------------\n def _fetch_detail(self, url: str) -> dict:\n \"\"\"Description, caractéristiques, GPS et secteur (lien « Retour »).\"\"\"\n if self._fetched >= self.max_details:\n raise RuntimeError(\"budget de fiches détail atteint\")\n self._fetched += 1\n html = self.get(url).text\n soup = BeautifulSoup(html, \"html.parser\")\n out: dict = {}\n\n desc_el = soup.select_one(\".real-estate-infos .description\")\n if desc_el:\n txt = desc_el.get_text(\"\\n\", strip=True)\n out[\"description\"] = re.sub(r\"[ \\t]+\", \" \", txt).strip()[:1500]\n\n out[\"characteristics\"] = [\n re.sub(r\"\\s+\", \" \", li.get_text(\" \", strip=True))\n for li in soup.select(\"ul.characteristics li\")\n if li.get_text(strip=True)][:20]\n\n # secteur : lien « Retour » vers la taxonomie /location/<slug>/\n back = soup.select_one('.real-estate-return a[href*=\"/location/\"]')\n if back:\n m = re.search(r\"/location/([^/?#]+)\", back[\"href\"])\n if m and m.group(1) != \"tous\":\n slug = m.group(1)\n out[\"sector\"] = _SECTORS.get(\n slug, slug.replace(\"-\", \" \").strip().title())\n\n m = _MAP_LATLNG_RE.search(html)\n if m:\n out[\"lat\"], out[\"lng\"] = float(m.group(1)), float(m.group(2))\n\n # galerie pleine taille de la fiche (si plus complète que la liste)\n images: list[str] = []\n for div in soup.select(\".real-estate-gallery div[style]\"):\n m_bg = _BG_URL_RE.search(div.get(\"style\", \"\"))\n if m_bg:\n u = m_bg.group(1).strip(\"'\\\" \")\n if u.startswith(\"http\") and u not in images:\n images.append(u)\n out[\"images\"] = images[:25]\n return out\n\n def _apply_detail(self, lst: Listing, d: dict) -> None:\n \"\"\"Reporte le payload (frais ou en cache) sur l'annonce.\"\"\"\n if not d:\n return\n if d.get(\"description\"):\n lst.description = d[\"description\"]\n if d.get(\"characteristics\"):\n lst.amenities = list(dict.fromkeys(lst.amenities + d[\"characteristics\"]))\n if d.get(\"sector\"):\n lst.sector = d[\"sector\"]\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n lst.lat, lst.lng = d[\"lat\"], d[\"lng\"]\n if d.get(\"images\") and len(d[\"images\"]) > len(lst.images):\n lst.images = d[\"images\"]\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/place_florimay.py : connecteur Place Florimay (placeflorimay.ca)\n# Boulevard Taché Ouest, Montmagny (Chaudière-Appalaches) — 170 condos\n# locatifs en 3 phases ; seule la phase 2 (60 unités, 5 étages) est exposée\n# dans le sélecteur du site.\n# Site WordPress (Elementor/Qode) avec le sélecteur d'unités « do1011 »\n# (variante du plugin do-selecteur-plans utilisé par La Cour / AULA /\n# Le St-Georges), rendu côté serveur :\n# - polygones SVG par unité : class disponible / indisponible,\n# data-numero (id du contenu WP), data-etage, data-type (« 4½ coin »),\n# data-prix, data-promotion ;\n# - REST /wp-json/do-selecteur-plans/v1/unite?id=<data-numero> :\n# n° d'unité, état (« disponible » / « indisponible » + libellé\n# « Louée »), type, superficie habitable et de balcon, plan PDF, galerie.\n# Cette variante du plugin ne renvoie PAS de champ `montant` : le loyer\n# publié est celui du polygone (data-prix) — aucune autre valeur n'est\n# supposée. La carte SVG sert de clé de cache BD (self.detail) : le REST\n# n'est rappelé que si l'unité a changé.\n# ⚠ Cloudflare renvoie 403 aux robots sans en-tête de navigateur : le\n# User-Agent de base.py (Chrome + LouKaBot) passe. robots.txt : Allow: /\n# pour les agents génériques (blocage ciblé des robots d'entraînement IA) ;\n# signal de contenu « use=reference », compatible avec un agrégateur qui\n# renvoie vers la source.\n# ⚠ État du marché au 2026-08-09 : les phases 1 et 3 sont complètes et les\n# 60 unités de la phase 2 sont toutes « Louée » -> le connecteur retourne\n# 0 annonce tant qu'aucune unité n'est remise en location (vérifié aussi\n# unité par unité via le REST).\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport hashlib\nimport json\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type, parse_price\nfrom .base import BaseConnector\n\nBASE = \"https://placeflorimay.ca\"\nSELECTOR_PATH = \"/\" # le sélecteur d'unités est sur l'accueil\nREST_UNIT = f\"{BASE}/wp-json/do-selecteur-plans/v1/unite\"\nNAME = \"Place Florimay\"\n# seule adresse publiée par la source (bureau de location du projet) :\n# les adresses civiques par phase ne sont pas affichées sur le site.\nADDRESS = \"136, boulevard Taché Ouest, Montmagny, QC G5V 3A5\"\nCITY = \"Montmagny\"\n\n_IMG_RE = re.compile(\n r'https?://[^\"\\'\\s\\)]+/wp-content/uploads/[^\"\\'\\s\\)]+'\n r'\\.(?:jpg|jpeg|png|webp)', re.I)\n_SKIP_IMG = re.compile(\n r\"logo|icon|favicon|flavicon|cropped-|plan|selecteur\"\n r\"|-\\d{2,4}x\\d{2,4}\\.\", re.I)\n\n\nclass PlaceFlorimayConnector(BaseConnector):\n source_id = \"place_florimay\"\n request_delay = 0.7\n max_rest_units = 70 # garde-fou : appels REST max par sync\n max_images = 10\n\n # -- helpers ---------------------------------------------------------------\n @staticmethod\n def _svg_cards(html: str) -> list[tuple[str, dict]]:\n \"\"\"Unités DISPONIBLES du sélecteur : (data-numero, attributs data-*).\n\n Chaque unité apparaît deux fois (polygone + bouton mobile) : dédup par\n data-numero. Les classes « indisponible » (unité louée) sont exclues.\n \"\"\"\n soup = BeautifulSoup(html, \"html.parser\")\n cards: list[tuple[str, dict]] = []\n seen: set[str] = set()\n for el in soup.select(\"[data-numero]\"):\n cls = \" \".join(el.get(\"class\") or [])\n if not re.search(r\"\\bdisponible\\b\", cls) \\\n or re.search(r\"indisponible|attente\", cls):\n continue\n pid = (el.get(\"data-numero\") or \"\").strip()\n if not pid or pid in seen:\n continue\n seen.add(pid)\n attrs = {k: str(v) for k, v in el.attrs.items()\n if k.startswith(\"data-\")}\n attrs[\"class\"] = cls\n cards.append((pid, attrs))\n return cards\n\n @staticmethod\n def _amenities(soup) -> list[str]:\n \"\"\"Commodités de l'immeuble : items d'icônes du site (structure béton,\n ascenseur, lockers…).\"\"\"\n items: list[str] = []\n for el in soup.select(\".qodef-icon-list-item .qodef-e-title-text\"):\n t = re.sub(r\"\\s+\", \" \", el.get_text(\" \", strip=True)).strip()\n if 3 <= len(t) <= 90 and t not in items:\n items.append(t)\n return items[:30]\n\n def _images(self, html: str) -> list[str]:\n imgs: list[str] = []\n for u in dict.fromkeys(_IMG_RE.findall(html)):\n if not _SKIP_IMG.search(u) and u not in imgs:\n imgs.append(u)\n return imgs[: self.max_images]\n\n @staticmethod\n def _sqft(raw) -> float | None:\n s = str(raw or \"\").strip().replace(\" \", \"\").replace(\",\", \".\")\n try:\n v = float(s)\n except ValueError:\n return None\n return v if 80 <= v <= 20000 else None\n\n # -- fetch -----------------------------------------------------------------\n def fetch(self) -> list[Listing]:\n html = self.get(f\"{BASE}{SELECTOR_PATH}\").text\n soup = BeautifulSoup(html, \"html.parser\")\n cards = self._svg_cards(html)\n amenities = self._amenities(soup)\n images = self._images(html)\n rest_calls = 0\n\n out: list[Listing] = []\n for pid, attrs in cards[: self.max_rest_units]:\n def _fetch(p=pid):\n nonlocal rest_calls\n if rest_calls >= self.max_rest_units:\n raise RuntimeError(\"budget de requêtes REST atteint\")\n rest_calls += 1\n return self.get(REST_UNIT, params={\"id\": p}).json()\n try:\n # clé de cache BD = attributs du polygone (état, prix, type) :\n # le REST n'est appelé que si l'unité a changé\n key = hashlib.sha1(json.dumps(\n attrs, sort_keys=True).encode()).hexdigest()[:20]\n data = self.detail(pid, key, _fetch)\n except Exception:\n continue\n if not data or data.get(\"etat\") != \"disponible\":\n continue\n\n num = str(data.get(\"unite\") or \"\").strip() or pid\n t = str(data.get(\"type\") or attrs.get(\"data-type\") or \"\")\n sup = str(data.get(\"superficie_habitable\") or \"\").strip()\n terrasse = str(data.get(\"superficie_terrasse\") or \"\").strip()\n etage = (attrs.get(\"data-etage\") or \"\").strip()\n style = str(data.get(\"style\") or \"\").strip()\n chambres = str(data.get(\"nb_chambres\") or \"\").strip()\n\n # prix : cette variante du plugin n'expose pas `montant` -> le\n # loyer publié est celui du polygone du sélecteur\n prix = (attrs.get(\"data-prix\") or \"\").strip()\n price_label = f\"{prix} $ par mois\" if prix else \"\"\n\n date_libre = str(data.get(\"date_libre\") or \"\").strip(\" |\")\n availability = (f\"Libre {date_libre}\" if date_libre\n else str(data.get(\"etat_titre\") or \"Disponible\"))\n\n desc = \" — \".join(x for x in [\n t, f\"{sup} pi²\" if sup else \"\",\n f\"balcon {terrasse} pi²\" if terrasse else \"\",\n f\"{chambres} chambre(s)\" if chambres else \"\",\n style,\n f\"étage {etage}\" if etage else \"\"] if x)\n\n details: dict = {}\n if etage.isdigit():\n details[\"floor\"] = int(etage)\n pdf = str(data.get(\"pdf\") or \"\")\n if pdf.startswith(\"http\"):\n details[\"plan_pdf\"] = pdf\n\n imgs = list(images)\n for g in reversed(data.get(\"gallery\") or []):\n gu = g.get(\"url\") if isinstance(g, dict) else str(g or \"\")\n if gu.startswith(\"http\") and gu not in imgs:\n imgs.insert(0, gu)\n\n out.append(Listing(\n source=self.source_id,\n external_id=num,\n url=f\"{BASE}{SELECTOR_PATH}#unite-{num}\",\n title=f\"{NAME} — Unité {num}\",\n address=ADDRESS,\n sector=\"\",\n city=CITY,\n unit_type=normalize_unit_type(t),\n price=parse_price(price_label),\n price_label=price_label,\n availability=availability,\n area_sqft=self._sqft(sup),\n description=desc[:600],\n amenities=list(amenities),\n details=details,\n images=imgs[: self.max_images + 2],\n ))\n return out\n# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/atlas_immo.py : connecteur Atlas société immobilière\n# (atlasimmo.ca — Beauce : Saint-Georges, Saint-Victor, Notre-Dame-des-Pins,\n# ~50-100 logements 2½–6½). CMS custom « webchef », pages .php statiques\n# servies en HTTP (pas de TLS). Page /logements-a-louer-en-beauce.php : toutes\n# les unités disponibles sont rendues serveur (cartes `div.resultat` — nom\n# d'immeuble, rue + ville, description « 4X 4 et demi moderne », drapeaux\n# Disponible/Chauffé/Éclairé avec icônes ok/cancel, photo) ; le filtre\n# ville/grandeur/prix est purement client (JS). Quand aucun logement n'est\n# libre, seule la mention « Aucun appartement n'est disponible… » s'affiche\n# et le connecteur retourne [] — situation normale (parc beauceron plein).\n# Prix jamais affiché sur les cartes -> None (rien d'inventé) ; granularité\n# immeuble assumée (précédent immeubles_guillot). Les fiches\n# /logement-a-louer/<id>-<slug>.php existent mais leur structure n'a jamais\n# été observée (aucune archive) : pas d'appel détail pour l'instant.\n# robots.txt : Disallow répertoires internes (/webchef, /inc…) seulement.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport re\n\nfrom bs4 import BeautifulSoup\n\nfrom ..schema import Listing, normalize_unit_type\nfrom .base import BaseConnector\n\nBASE = \"http://www.atlasimmo.ca\"\nLIST_URL = f\"{BASE}/logements-a-louer-en-beauce.php\"\n\n# type d'unité dans la description d'immeuble (« 4X 4 et demi moderne »)\n_TYPE_RE = re.compile(r\"(\\d)\\s*(?:½|1/2|et\\s+demi)\", re.I)\n\n\nclass AtlasImmoConnector(BaseConnector):\n source_id = \"atlas_immo\"\n request_delay = 0.6\n\n def fetch(self) -> list[Listing]:\n html = self.get(LIST_URL).text\n soup = BeautifulSoup(html, \"html.parser\")\n\n listings: dict[str, Listing] = {}\n for card in soup.select(\"div.resultat\"):\n try:\n self._parse_card(card, listings)\n except Exception:\n continue\n return list(listings.values())\n\n # -- carte (div.resultat, id bloc-<n>) -----------------------------------------\n def _parse_card(self, card, listings: dict[str, Listing]) -> None:\n link = card.select_one('a[href*=\"/logement-a-louer/\"]')\n if not link:\n return\n url = link[\"href\"]\n if url.startswith(\"/\"):\n url = BASE + url\n m = re.search(r\"/logement-a-louer/([^/?#]+?)(?:\\.php)?$\", url)\n if not m:\n return\n ext_id = m.group(1)\n if not ext_id or ext_id in listings:\n return\n\n title_el = card.select_one(\"h2\")\n title = title_el.get_text(strip=True) if title_el else \"\"\n\n # adresse : <li>Rue Ambroise<br><strong>Saint-Victor</strong>, ---</li>\n address, city = \"\", \"\"\n li = card.select_one(\".description ul li\")\n if li:\n strong = li.select_one(\"strong\")\n city = strong.get_text(strip=True) if strong else \"\"\n street = li.get_text(\"\\n\", strip=True).split(\"\\n\")[0].strip()\n street = street.rstrip(\",\")\n address = f\"{street}, {city}\".strip(\", \") if city else street\n\n # description libre de l'immeuble (« 4X 4 et demi moderne »)\n desc_el = card.select_one(\".description p:not(.aligneDroit)\")\n description = desc_el.get_text(\" \", strip=True) if desc_el else \"\"\n\n m_type = _TYPE_RE.search(description)\n unit_type = normalize_unit_type(f\"{m_type.group(1)} ½\") if m_type else \"\"\n\n # drapeaux : <span><i class=\"icon-ok\"/> Disponible</span> — icon-cancel = non\n availability = \"\"\n amenities: list[str] = []\n for span in card.select(\".options span\"):\n label = span.get_text(\" \", strip=True)\n icon = span.select_one(\"i\")\n ok = bool(icon and \"icon-ok\" in (icon.get(\"class\") or []))\n if re.search(r\"disponible\", label, re.I):\n if ok:\n availability = label\n elif ok and label:\n amenities.append(label)\n\n images: list[str] = []\n img = card.select_one(\"img[src]\")\n if img:\n u = img[\"src\"]\n if u.startswith(\"/\"):\n u = BASE + u\n if u.startswith(\"http\"):\n images.append(u)\n\n listings[ext_id] = Listing(\n source=self.source_id,\n external_id=ext_id,\n url=url,\n title=title,\n address=address,\n city=city,\n unit_type=unit_type,\n price=None, # jamais affiché sur les cartes\n price_label=\"\",\n availability=availability,\n description=description,\n amenities=amenities,\n images=images,\n )","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"929291d2-ec9b-4516-aec5-ef722636e332","timestamp":"2026-08-23T05:06:11.369Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"blxjmtzin","tool_use_id":"toolu_01QyWVeNogh5ZwxP1wq2L4Xa","status":"completed","output_file":"","summary":"Test the 7 broken store sites live","uuid":"003abf38-ec3d-4231-a739-118ced4690cf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QyWVeNogh5ZwxP1wq2L4Xa","type":"tool_result","content":"== https://www.wilsy.ca\n200 https://www.wilsy.ca/\n== https://www.vergerlabonte.com\n200 https://www.vergerlabonte.com/\n== https://www.visionartproductions.com\n200 https://www.visionartproductions.com/\n== https://www.origin-north.ai\n200 https://www.origin-north.ai/\n== https://www.rose.ca\n200 https://www.rose.ca/\n== https://saveursmitis.com\n200 https://saveursmitis.com/\n== https://canadel.com\n200 https://canadel.com/","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2f45b94f-120d-4bd8-9281-8b9e225a5ebc","timestamp":"2026-08-23T05:06:11.494Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"br0qd597p","tool_use_id":"toolu_0115XEQqyV4poaLjcAyrsDAj","description":"Test job-ka syncs_since_h parameter","task_type":"local_bash","uuid":"1e6aadf8-17b9-4c7f-9084-6a75007468c9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gMSx9jx1DxbJ7BRnQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CMDFVrrJk3n2RXTpjkKhbL","name":"Bash","input":{"command":"scp -q /tmp/fk_analyze.py M4M64b:/tmp/fk_analyze.py && ssh M4M64b 'cd ~/apps/food-ka && .venv/bin/python /tmp/fk_analyze.py'","description":"Run food-ka staleness and volume analysis"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1497,"cache_read_input_tokens":31477,"cache_creation":{"ephemeral_5m_input_tokens":1497,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a65e452b-4228-4f2c-8cb6-f8fb0245edb1","request_id":"req_011CeK6gKKTpGYvpcDemJRkw","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Run food-ka staleness and volume analysis","subagent_type":"general-purpose","usage":{"total_tokens":33101,"tool_uses":11,"duration_ms":75875},"last_tool_name":"Bash","uuid":"fcad2309-868f-4cea-847f-fb5dc1f59fa9","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6e87xaVEdsSGwj4wCX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EA4igLUNYMryg1hvyhdxfw","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -c \"\nfrom louka import db\ncon = db.connect()\nfor src in (\\\"tri_logis\\\",\\\"courtemanche\\\",\\\"place_florimay\\\",\\\"atlas_immo\\\"):\n rows = con.execute(\\\"SELECT ts, ok, found, added, removed, error FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 5\\\", (src,)).fetchall()\n print(\\\"==\\\", src)\n for r in rows: print(dict(r))\n\"'","description":"Check recent sync_log entries for the four sources"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5156,"cache_read_input_tokens":52636,"cache_creation":{"ephemeral_5m_input_tokens":5156,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4bfd7cec-d176-4d4e-b6b7-c18a30468f53","request_id":"req_011CeK6e7AAR87b2vq56fyJ2","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Check recent sync_log entries for the four sources","subagent_type":"general-purpose","usage":{"total_tokens":57946,"tool_uses":16,"duration_ms":130184},"last_tool_name":"Bash","uuid":"8ae3be60-5ea4-4c6c-91eb-aeb2e8457a74","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\n File \"/tmp/fk_analyze.py\", line 2, in <module>\n from foodka import db\nModuleNotFoundError: No module named 'foodka'","is_error":true,"tool_use_id":"toolu_01CMDFVrrJk3n2RXTpjkKhbL"}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f0132f2d-c95d-42f6-a5b1-2ca69811339b","timestamp":"2026-08-23T05:06:13.426Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n File \"/tmp/fk_analyze.py\", line 2, in <module>\n from foodka import db\nModuleNotFoundError: No module named 'foodka'","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\n File \"<string>\", line 5, in <module>\n rows = con.execute(\"SELECT ts, ok, found, added, removed, error FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 5\", (src,)).fetchall()\n ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nsqlite3.OperationalError: no such column: error","is_error":true,"tool_use_id":"toolu_01EA4igLUNYMryg1hvyhdxfw"}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"55c3dc89-04cf-4196-a101-a45db1c8a493","timestamp":"2026-08-23T05:06:13.427Z","tool_use_result":"Error: Exit code 1\nTraceback (most recent call last):\n File \"<string>\", line 5, in <module>\n rows = con.execute(\"SELECT ts, ok, found, added, removed, error FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 5\", (src,)).fetchall()\n ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nsqlite3.OperationalError: no such column: error","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"br0qd597p","tool_use_id":"toolu_0115XEQqyV4poaLjcAyrsDAj","status":"completed","output_file":"","summary":"Test job-ka syncs_since_h parameter","uuid":"da1e70cd-64df-4b3b-8211-147889591d27","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0115XEQqyV4poaLjcAyrsDAj","type":"tool_result","content":"SYNTAX-OK\ndéfaut: 20\n6h: 1412 sources: 353\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a18cf859-2fbe-4102-9ef4-106ef963993f","timestamp":"2026-08-23T05:06:14.132Z","tool_use_result":{"stdout":"SYNTAX-OK\ndéfaut: 20\n6h: 1412 sources: 353","stderr":"\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"525efb26-cd8a-45f0-a09a-f479b0bdf01c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gh5uFjMiZYDPQz4fV","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":1181,"cache_read_input_tokens":40523,"cache_creation":{"ephemeral_5m_input_tokens":1181,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7c572df0-aaca-4330-bb94-2cf5527f48ea","request_id":"req_011CeK6gfQhLxHXGKubSeCYa","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":100,"estimated_tokens_delta":100,"uuid":"e963505c-cfbc-45aa-8148-5b3fc6756d4f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":102,"estimated_tokens_delta":2,"uuid":"6fccdca2-a378-4278-a292-5fdc0c687bf2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gtmcpZyvtxy9yWLzT","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":309,"cache_creation_input_tokens":471,"cache_read_input_tokens":174151,"cache_creation":{"ephemeral_5m_input_tokens":471,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e422ce72-e8ec-4f1a-a498-81723d76c7b0","request_id":"req_011CeK6gs4vWik7kTMXrb5KK"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gtmcpZyvtxy9yWLzT","type":"message","role":"assistant","content":[{"type":"text","text":"Parfait — avec `?syncs_since_h=6`, job-ka expose 1412 entrées couvrant 353 sources (contre 20 avant). Je vérifie ses deux sources « dégradées » (kruger, flinks) avant de commiter."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":309,"cache_creation_input_tokens":471,"cache_read_input_tokens":174151,"cache_creation":{"ephemeral_5m_input_tokens":471,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"df25748f-b607-4bb9-80a6-fae370642742","request_id":"req_011CeK6gs4vWik7kTMXrb5KK"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gq6MtBc9t5UeuKzhn","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":247,"cache_read_input_tokens":32974,"cache_creation":{"ephemeral_5m_input_tokens":247,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7a67b579-3bfc-463f-80a6-a3f71ceefee2","request_id":"req_011CeK6goj1GKCkcxCaqqV24","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gq6MtBc9t5UeuKzhn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0181GAVdQD4v12WtUBDfsUfY","name":"Bash","input":{"command":"ssh M4M64b 'cd ~/apps/food-ka && PYTHONPATH=. .venv/bin/python /tmp/fk_analyze.py'","description":"Run food-ka analysis with PYTHONPATH 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set","subagent_type":"general-purpose","usage":{"total_tokens":33362,"tool_uses":12,"duration_ms":83244},"last_tool_name":"Bash","uuid":"779b3d54-7674-4efb-a8c6-f6c77e936bba","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gtmcpZyvtxy9yWLzT","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012sWYGH78NN2vhw33mwniJq","name":"Bash","input":{"command":"cd ~/apps/job-ka && sqlite3 \"$(ls data/*.db 2>/dev/null | head -1)\" \"SELECT source, datetime(ts,'unixepoch') ts, found, ok, substr(message,1,60) FROM sync_log WHERE source IN ('kruger','flinks') ORDER BY ts DESC LIMIT 10\" 2>/dev/null || grep -rn \"kruger\\|flinks\" ~/.pm2/logs/job-ka-sync-out.log 2>/dev/null | tail -6","description":"Check kruger and flinks sync history in job-ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":309,"cache_creation_input_tokens":471,"cache_read_input_tokens":174151,"cache_creation":{"ephemeral_5m_input_tokens":471,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a909fd55-4141-4cb6-9bda-33803cd76bb0","request_id":"req_011CeK6gs4vWik7kTMXrb5KK"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0181GAVdQD4v12WtUBDfsUfY","type":"tool_result","content":"sources totales: 57\nadonis dernier_ok_h=4.0 derniere_entree_h=4.0 n=44\nadonis_flyer dernier_ok_h=4.0 derniere_entree_h=4.0 n=19\nakhavan dernier_ok_h=4.0 derniere_entree_h=4.0 n=29\naliments_merci dernier_ok_h=3.9 derniere_entree_h=3.9 n=47\naliments_mm dernier_ok_h=3.9 derniere_entree_h=3.9 n=29\naubut dernier_ok_h=3.9 derniere_entree_h=3.9 n=45\naures dernier_ok_h=3.9 derniere_entree_h=3.9 n=29\navril dernier_ok_h=3.9 derniere_entree_h=3.9 n=45\navril_flyer dernier_ok_h=3.9 derniere_entree_h=3.9 n=19\naxep dernier_ok_h=3.9 derniere_entree_h=3.9 n=29\nbocoboco dernier_ok_h=3.9 derniere_entree_h=3.9 n=46\nboite_a_grains dernier_ok_h=3.9 derniere_entree_h=3.9 n=46\nbonanza dernier_ok_h=3.9 derniere_entree_h=3.9 n=29\nbonichoix dernier_ok_h=3.9 derniere_entree_h=3.9 n=29\nbrunet dernier_ok_h=3.9 derniere_entree_h=3.9 n=19\nclub_entrepot dernier_ok_h=3.8 derniere_entree_h=3.8 n=28\ncostco dernier_ok_h=3.8 derniere_entree_h=3.8 n=44\ncostco_flyer dernier_ok_h=3.8 derniere_entree_h=3.8 n=21\nepipresto dernier_ok_h=3.8 derniere_entree_h=3.8 n=46\neuro_marche dernier_ok_h=3.8 derniere_entree_h=3.8 n=29\nfu_tai dernier_ok_h=3.8 derniere_entree_h=3.8 n=29\ngiant_tiger dernier_ok_h=3.8 derniere_entree_h=3.8 n=45\niga dernier_ok_h=3.8 derniere_entree_h=3.8 n=45\niga_flyer dernier_ok_h=3.8 derniere_entree_h=3.8 n=20\ninter_marche dernier_ok_h=3.8 derniere_entree_h=3.8 n=27\ninter_marche_intl dernier_ok_h=3.8 derniere_entree_h=3.8 n=27\njean_coutu dernier_ok_h=3.8 derniere_entree_h=3.8 n=19\nkim_phat dernier_ok_h=3.7 derniere_entree_h=3.7 n=27\nloco dernier_ok_h=3.7 derniere_entree_h=3.7 n=26\nmarche_ami dernier_ok_h=3.7 derniere_entree_h=3.7 n=27\nmarche_ct dernier_ok_h=3.7 derniere_entree_h=3.7 n=27\nmarche_vegetarien dernier_ok_h=3.7 derniere_entree_h=3.7 n=27\nmaturin dernier_ok_h=3.7 derniere_entree_h=3.7 n=43\nmaxi dernier_ok_h=3.6 derniere_entree_h=3.6 n=43\nmaxi_flyer dernier_ok_h=3.6 derniere_entree_h=3.6 n=20\nmayrand dernier_ok_h=3.6 derniere_entree_h=3.6 n=43\nmetro dernier_ok_h=3.6 derniere_entree_h=3.6 n=44\nmetro_flyer dernier_ok_h=3.6 derniere_entree_h=3.6 n=20\nnuvo dernier_ok_h=3.6 derniere_entree_h=3.6 n=45\npa dernier_ok_h=3.6 derniere_entree_h=3.6 n=45\npa_nature dernier_ok_h=3.6 derniere_entree_h=3.6 n=30\npasquier dernier_ok_h=3.6 derniere_entree_h=3.6 n=27\npharmaprix dernier_ok_h=3.5 derniere_entree_h=3.5 n=19\nprovigo dernier_ok_h=3.5 derniere_entree_h=3.5 n=42\nprovigo_flyer dernier_ok_h=3.5 derniere_entree_h=3.5 n=20\nrachelle_bery dernier_ok_h=3.5 derniere_entree_h=3.5 n=30\nrichelieu dernier_ok_h=3.5 derniere_entree_h=3.5 n=26\nsaq dernier_ok_h=3.5 derniere_entree_h=3.5 n=19\nsuperc dernier_ok_h=3.5 derniere_entree_h=3.5 n=42\nsuperc_flyer dernier_ok_h=3.5 derniere_entree_h=3.5 n=20\ntau dernier_ok_h=3.4 derniere_entree_h=3.4 n=42\ntradition dernier_ok_h=3.4 derniere_entree_h=3.4 n=27\ntt dernier_ok_h=3.4 derniere_entree_h=3.4 n=25\nuniprix dernier_ok_h=3.4 derniere_entree_h=3.4 n=19\nval_mont dernier_ok_h=3.4 derniere_entree_h=3.4 n=26\nwalmart dernier_ok_h=3.4 derniere_entree_h=3.4 n=40\nwalmart_flyer dernier_ok_h=3.4 derniere_entree_h=3.4 n=20\n\n--- echecs (ok=0) sur 7 jours ---\n{'source': 'rachelle_bery', 'c': 1, 'msg': 'FlippConnector._fine_print() takes 1 positional argument but 2 were given'}\n{'source': 'pa_nature', 'c': 1, 'msg': 'FlippConnector._fine_print() takes 1 positional argument but 2 were given'}\n{'source': 'axep', 'c': 1, 'msg': '404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8072013?locale=fr-ca'}\n{'source': 'avril_flyer', 'c': 1, 'msg': '404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8069625?locale=fr-ca'}\n{'source': 'aures', 'c': 1, 'msg': '404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8079130?locale=fr-ca'}\n{'source': 'aliments_mm', 'c': 1, 'msg': '404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8078497?locale=fr-ca'}\n\n--- volume 'found' par source : moyenne 14-7j vs 7 derniers jours ---\nadonis prev=137.6 recent=278.6 delta= +141.0 n_rec=31\nadonis_flyer prev=0.0 recent=290.6 delta= +290.6 n_rec=19\nakhavan prev=400.0 recent=626.3 delta= +226.3 n_rec=28\naliments_merci prev=800.0 recent=2175.5 delta= +1375.5 n_rec=33\naliments_mm prev=0.0 recent=77.8 delta= +77.8 n_rec=28\naubut prev=476.4 recent=475.6 delta= -0.8 n_rec=31\naures prev=0.0 recent=85.9 delta= +85.9 n_rec=28\navril prev=367.7 recent=375.6 delta= +7.9 n_rec=31\navril_flyer prev=0.0 recent=98.4 delta= +98.4 n_rec=18\naxep prev=0.0 recent=110.4 delta= +110.4 n_rec=28\nbocoboco prev=624.6 recent=649.6 delta= +24.9 n_rec=32\nboite_a_grains prev=2000.0 recent=3859.4 delta= +1859.4 n_rec=32\nbonanza prev=0.0 recent=70.3 delta= +70.3 n_rec=29\nbonichoix prev=0.0 recent=144.3 delta= +144.3 n_rec=29\nbrunet prev=0.0 recent=46.8 delta= +46.8 n_rec=19\nclub_entrepot prev=801.0 recent=627.9 delta= -173.1 n_rec=27 <<<\ncostco prev=267.6 recent=285.5 delta= +17.8 n_rec=31\ncostco_flyer prev=0.0 recent=86.0 delta= +86.0 n_rec=21\nepipresto prev=2000.0 recent=3812.5 delta= +1812.5 n_rec=32\neuro_marche prev=0.0 recent=68.6 delta= +68.6 n_rec=29\nfu_tai prev=0.0 recent=79.0 delta= +79.0 n_rec=29\ngiant_tiger prev=7140.6 recent=6882.0 delta= -258.6 n_rec=31\niga prev=563.4 recent=600.0 delta= +36.6 n_rec=30\niga_flyer prev=0.0 recent=535.2 delta= +535.2 n_rec=20\ninter_marche prev=0.0 recent=111.7 delta= +111.7 n_rec=27\ninter_marche_intl prev=0.0 recent=108.9 delta= +108.9 n_rec=27\njean_coutu prev=0.0 recent=33.4 delta= +33.4 n_rec=19\nkim_phat prev=0.0 recent=165.2 delta= +165.2 n_rec=27\nloco prev=129.0 recent=129.0 delta= +0.0 n_rec=25\nmarche_ami prev=0.0 recent=118.7 delta= +118.7 n_rec=27\nmarche_ct prev=0.0 recent=256.9 delta= +256.9 n_rec=27\nmarche_vegetarien prev=0.0 recent=55.6 delta= +55.6 n_rec=27\nmaturin prev=383.4 recent=380.1 delta= -3.2 n_rec=29\nmaxi prev=812.7 recent=796.3 delta= -16.4 n_rec=29\nmaxi_flyer prev=0.0 recent=303.8 delta= +303.8 n_rec=20\nmayrand prev=450.0 recent=450.0 delta= +0.0 n_rec=29\nmetro prev=735.9 recent=887.5 delta= +151.5 n_rec=30\nmetro_flyer prev=0.0 recent=426.4 delta= +426.4 n_rec=20\nnuvo prev=2000.0 recent=3725.4 delta= +1725.4 n_rec=31\npa prev=2000.0 recent=2758.1 delta= +758.1 n_rec=31\npa_nature prev=0.0 recent=51.4 delta= +51.4 n_rec=29\npasquier prev=0.0 recent=224.4 delta= +224.4 n_rec=27\npharmaprix prev=0.0 recent=167.4 delta= +167.4 n_rec=19\nprovigo prev=563.3 recent=665.6 delta= +102.4 n_rec=28\nprovigo_flyer prev=0.0 recent=218.4 delta= +218.4 n_rec=20\nrachelle_bery prev=0.0 recent=100.3 delta= +100.3 n_rec=29\nrichelieu prev=0.0 recent=151.7 delta= +151.7 n_rec=26\nsaq prev=0.0 recent=3287.2 delta= +3287.2 n_rec=19\nsuperc prev=611.4 recent=678.5 delta= +67.1 n_rec=28\nsuperc_flyer prev=0.0 recent=386.6 delta= +386.6 n_rec=20\ntau prev=180.0 recent=178.4 delta= -1.6 n_rec=28\ntradition prev=0.0 recent=177.2 delta= +177.2 n_rec=27\ntt prev=400.0 recent=399.9 delta= -0.1 n_rec=24\nuniprix prev=0.0 recent=16.8 delta= +16.8 n_rec=19\nval_mont prev=0.0 recent=57.6 delta= +57.6 n_rec=26\nwalmart prev=689.2 recent=681.4 delta= -7.7 n_rec=27\nwalmart_flyer prev=0.0 recent=496.9 delta= +496.9 n_rec=20\nTOTAL found/sync : prev=24534 recent=40988 (+67.1%)\n\n--- produits actifs par source (base) ---\ngiant_tiger 9336\nepipresto 6000\nboite_a_grains 6000\nnuvo 4798\npa 3474\nsaq 3289\naliments_merci 2829\nmetro 1468\nmaxi 1257\nclub_entrepot 974\nsuperc 817\nprovigo 792\nwalmart 757\nbocoboco 700\nakhavan 688\niga 600\naubut 475\nmayrand 450\ntt 402\nmaturin 392\navril 380\nadonis 359\ncostco 351\niga_flyer 349\nmetro_flyer 296\nsuperc_flyer 270\nwalmart_flyer 246\nmaxi_flyer 221\nadonis_flyer 197\npasquier 180\ntau 176\nprovigo_flyer 152\npharmaprix 142\nkim_phat 141\ntradition 130\nloco 129\nrichelieu 116\ninter_marche 109\naxep 109\nmarche_ct 100\nbonichoix 99\ninter_marche_intl 94\nmarche_ami 89\ncostco_flyer 84\navril_flyer 83\nbonanza 81\nfu_tai 79\naliments_mm 75\naures 74\neuro_marche 71\nrachelle_bery 64\npa_nature 60\nval_mont 49\nmarche_vegetarien 49\nbrunet 34\njean_coutu 26\nuniprix 12\ntotal actifs: 50774\n\n--- historique first_seen/last_seen si dispo : actifs vus par jour (14j) ---\n{'d': '2026-08-12', 'n': 206}\n{'d': '2026-08-13', 'n': 631}\n{'d': '2026-08-14', 'n': 718}\n{'d': '2026-08-15', 'n': 698}\n{'d': '2026-08-16', 'n': 702}\n{'d': '2026-08-17', 'n': 1099}\n{'d': '2026-08-18', 'n': 1272}\n{'d': '2026-08-19', 'n': 5324}\n{'d': '2026-08-20', 'n': 1793}\n{'d': '2026-08-21', 'n': 2734}\n{'d': '2026-08-22', 'n': 4920}\n{'d': '2026-08-23', 'n': 48937}","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4027517f-a776-40ae-99b4-386aab467c0c","timestamp":"2026-08-23T05:06:20.815Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012sWYGH78NN2vhw33mwniJq","type":"tool_result","content":"kruger|2026-08-23 04:30:14|0|1|ok\nflinks|2026-08-23 04:20:58|0|1|ok\nkruger|2026-08-23 02:56:38|0|1|ok\nflinks|2026-08-23 02:47:20|0|1|ok\nkruger|2026-08-23 01:21:38|0|1|ok\nflinks|2026-08-23 01:11:46|0|1|ok\nkruger|2026-08-22 23:45:10|0|1|ok\nflinks|2026-08-22 23:36:17|0|1|ok\nkruger|2026-08-22 22:15:21|0|1|ok\nflinks|2026-08-22 22:05:44|0|1|ok\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e047822e-9da2-46b8-8fd9-ff85f803878c","timestamp":"2026-08-23T05:06:20.868Z","tool_use_result":{"stdout":"kruger|2026-08-23 04:30:14|0|1|ok\nflinks|2026-08-23 04:20:58|0|1|ok\nkruger|2026-08-23 02:56:38|0|1|ok\nflinks|2026-08-23 02:47:20|0|1|ok\nkruger|2026-08-23 01:21:38|0|1|ok\nflinks|2026-08-23 01:11:46|0|1|ok\nkruger|2026-08-22 23:45:10|0|1|ok\nflinks|2026-08-22 23:36:17|0|1|ok\nkruger|2026-08-22 22:15:21|0|1|ok\nflinks|2026-08-22 22:05:44|0|1|ok","stderr":"\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2e10f844-2474-4d37-b2cf-dfb5cb900193","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gpwvfgFxUeQH1PvaR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LFfSfU1vV3pmoa177fPK69","name":"Bash","input":{"command":"ssh M3U96b 'cd ~/apps/lou-ka && .venv/bin/python -c \"\nfrom louka import db\ncon = db.connect()\nprint([c[1] for c in con.execute(\\\"PRAGMA table_info(sync_log)\\\")])\nfor src in (\\\"tri_logis\\\",\\\"courtemanche\\\",\\\"place_florimay\\\",\\\"atlas_immo\\\"):\n rows = con.execute(\\\"SELECT * FROM sync_log WHERE source=? ORDER BY ts DESC LIMIT 4\\\", (src,)).fetchall()\n print(\\\"==\\\", src)\n for r in rows: print(dict(r))\n\"'","description":"Inspect sync_log schema and recent entries"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":11329,"cache_read_input_tokens":57792,"cache_creation":{"ephemeral_5m_input_tokens":11329,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"8a546bb8-89ed-4aac-b4fe-7a3b25cc64a7","request_id":"req_011CeK6gocK1MzAVndhP7g6g","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Inspect sync_log schema and recent entries","subagent_type":"general-purpose","usage":{"total_tokens":69295,"tool_uses":17,"duration_ms":137724},"last_tool_name":"Bash","uuid":"25cd4306-aafe-4944-9735-6a345f958fc2","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LFfSfU1vV3pmoa177fPK69","type":"tool_result","content":"['id', 'source', 'ts', 'found', 'added', 'updated', 'removed', 'ok', 'message', 'stats']\n== tri_logis\n{'id': 35749, 'source': 'tri_logis', 'ts': 1787455848.048426, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35533, 'source': 'tri_logis', 'ts': 1787446390.835582, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35315, 'source': 'tri_logis', 'ts': 1787440247.593992, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35020, 'source': 'tri_logis', 'ts': 1787428191.570453, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n== courtemanche\n{'id': 35799, 'source': 'courtemanche', 'ts': 1787460514.572923, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35583, 'source': 'courtemanche', 'ts': 1787451322.4281669, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35367, 'source': 'courtemanche', 'ts': 1787441815.444868, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35149, 'source': 'courtemanche', 'ts': 1787435589.225504, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n== place_florimay\n{'id': 35713, 'source': 'place_florimay', 'ts': 1787454791.190123, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35497, 'source': 'place_florimay', 'ts': 1787445317.644643, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35279, 'source': 'place_florimay', 'ts': 1787439198.831189, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 34984, 'source': 'place_florimay', 'ts': 1787426911.265186, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n== atlas_immo\n{'id': 35773, 'source': 'atlas_immo', 'ts': 1787460024.057396, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35557, 'source': 'atlas_immo', 'ts': 1787450827.641005, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35341, 'source': 'atlas_immo', 'ts': 1787441334.213774, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}\n{'id': 35123, 'source': 'atlas_immo', 'ts': 1787435119.492322, 'found': 0, 'added': 0, 'updated': 0, 'removed': 0, 'ok': 1, 'message': 'ok', 'stats': '{\"null_price_rate\": 0.0, \"null_address_rate\": 0.0, \"missed\": 0}'}","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"dc2da9e1-d70b-4779-945d-e8c6e13138b5","timestamp":"2026-08-23T05:06:20.978Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gh5uFjMiZYDPQz4fV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013D7q91b9KfRFsWJHa8C3f8","name":"Bash","input":{"command":"for u in https://www.wilsy.ca https://www.vergerlabonte.com https://www.visionartproductions.com https://www.origin-north.ai; do echo \"== $u\"; curl -s --max-time 20 \"$u/_api/v1/access-tokens\" | python3 -c \"\nimport json,sys\ntry: d=json.load(sys.stdin)\nexcept Exception as e: print('non-JSON', e); raise SystemExit\napps=d.get('apps',{})\nk='1380b703-ce81-ff05-f115-39571d94dfcd'\nprint('apps:',len(apps),'| stores app present:', k in apps, '| instance:', bool((apps.get(k) or {}).get('instance')))\n\"; done","description":"Check Wix access-tokens for stores app on 4 broken Wix sites"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1181,"cache_read_input_tokens":40523,"cache_creation":{"ephemeral_5m_input_tokens":1181,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"36d52747-71c8-463e-975f-8e499c881dad","request_id":"req_011CeK6gfQhLxHXGKubSeCYa","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Check Wix access-tokens for stores app on 4 broken Wix sites","subagent_type":"general-purpose","usage":{"total_tokens":41848,"tool_uses":16,"duration_ms":102321},"last_tool_name":"Bash","uuid":"b31ca146-9944-43f6-9876-3c41fdac8fc8","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013D7q91b9KfRFsWJHa8C3f8","type":"tool_result","content":"== https://www.wilsy.ca\napps: 49 | stores app present: True | instance: True\n== https://www.vergerlabonte.com\napps: 70 | stores app present: True | instance: True\n== https://www.visionartproductions.com\napps: 32 | stores app present: False | instance: False\n== https://www.origin-north.ai\napps: 25 | stores app present: False | instance: False","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"72388e34-fbb0-4309-914e-3843802dc55a","timestamp":"2026-08-23T05:06:22.174Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gbKdPsgLP59p3Mate","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":640,"cache_read_input_tokens":44944,"cache_creation":{"ephemeral_5m_input_tokens":640,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"908ce1b3-cbc1-4009-9094-5ec4eb1dcba2","request_id":"req_011CeK6gZqb4wqeQrZBZ4y2z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gbKdPsgLP59p3Mate","type":"message","role":"assistant","content":[{"type":"text","text":"Niddamour verdict: the API works, but all 20 listings are rentals (14 AVAILABLE for rent, 6 SOLD) — zero properties for sale. Not a bug. Now let me look at realtor_ag_ca."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":640,"cache_read_input_tokens":44944,"cache_creation":{"ephemeral_5m_input_tokens":640,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"3f431c54-8b26-4c34-b293-f484655fd9eb","request_id":"req_011CeK6gZqb4wqeQrZBZ4y2z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gh5uFjMiZYDPQz4fV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CDJcSgumnRme8DuGNdvbsK","name":"Bash","input":{"command":"for u in https://www.rose.ca https://saveursmitis.com https://canadel.com; do echo \"== $u\"; curl -s --max-time 25 -w \"\\nHTTP %{http_code}\\n\" \"$u/wp-json/wc/store/v1/products?per_page=3\" | head -c 400; echo; done","description":"Test WooCommerce store API on 3 broken Woo sites"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1181,"cache_read_input_tokens":40523,"cache_creation":{"ephemeral_5m_input_tokens":1181,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"646013e5-dae9-4f99-9ca7-2132e9b4251a","request_id":"req_011CeK6gfQhLxHXGKubSeCYa","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Test WooCommerce store API on 3 broken Woo sites","subagent_type":"general-purpose","usage":{"total_tokens":41850,"tool_uses":17,"duration_ms":103252},"last_tool_name":"Bash","uuid":"30de7f5e-bdd3-4c25-863d-cd523613d10d","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gbKdPsgLP59p3Mate","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VCDSya2fh7HgcfpS4UUFx6","name":"Bash","input":{"command":"ssh M4M64a 'grep -i \"realtor\" ~/.pm2/logs/immo-ka-sync-out.log ~/.pm2/logs/immo-ka-sync-error.log 2>/dev/null | tail -30'","description":"Grep sync logs for realtor"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":640,"cache_read_input_tokens":44944,"cache_creation":{"ephemeral_5m_input_tokens":640,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"952b679e-abe9-408c-a9db-f110044cc99b","request_id":"req_011CeK6gZqb4wqeQrZBZ4y2z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Grep sync logs for realtor","subagent_type":"general-purpose","usage":{"total_tokens":45849,"tool_uses":20,"duration_ms":124413},"last_tool_name":"Bash","uuid":"4bb711b1-3249-4be2-80d4-a10b2be80353","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VCDSya2fh7HgcfpS4UUFx6","type":"tool_result","content":"/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2125, 'added': 270, 'updated': 39, 'removed': 238, 'seconds': 606.3}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2138, 'added': 144, 'updated': 42, 'removed': 274, 'seconds': 518.3}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2138, 'added': 0, 'updated': 100, 'removed': 131, 'seconds': 568.9}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2131, 'added': 121, 'updated': 94, 'removed': 0, 'seconds': 892.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2138, 'added': 311, 'updated': 34, 'removed': 128, 'seconds': 582.2}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2146, 'added': 136, 'updated': 63, 'removed': 303, 'seconds': 585.2}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2147, 'added': 15, 'updated': 95, 'removed': 129, 'seconds': 554.0}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2147, 'added': 0, 'updated': 103, 'removed': 14, 'seconds': 676.1}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2133, 'added': 189, 'updated': 51, 'removed': 0, 'seconds': 594.8}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2135, 'added': 93, 'updated': 79, 'removed': 204, 'seconds': 564.4}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2143, 'added': 176, 'updated': 16, 'removed': 91, 'seconds': 486.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2143, 'added': 10, 'updated': 93, 'removed': 169, 'seconds': 542.5}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2145, 'added': 44, 'updated': 74, 'removed': 10, 'seconds': 653.6}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2146, 'added': 50, 'updated': 74, 'removed': 43, 'seconds': 551.2}\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] sync realtor_ag_ca ...\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-sync-out.log:[immo-ka] {'source': 'realtor_ag_ca', 'found': 2146, 'added': 40, 'updated': 77, 'removed': 49, 'seconds': 578.5}","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"daf62ccd-582f-4a13-8f17-5986216b27c9","timestamp":"2026-08-23T05:06:23.897Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6gbKdPsgLP59p3Mate","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TbCAeSnVU9CJbiJneeaHdT","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && cat immoka/connectors/realtor_ca.py'","description":"Read realtor_ca connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":640,"cache_read_input_tokens":44944,"cache_creation":{"ephemeral_5m_input_tokens":640,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"765e0155-8756-40c2-bf9f-1549fbba0811","request_id":"req_011CeK6gZqb4wqeQrZBZ4y2z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Read realtor_ca connector","subagent_type":"general-purpose","usage":{"total_tokens":45851,"tool_uses":21,"duration_ms":124901},"last_tool_name":"Bash","uuid":"71ebb0fd-2498-41ca-b9c3-58f0e7073706","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TbCAeSnVU9CJbiJneeaHdT","type":"tool_result","content":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# connectors/realtor_ca.py : Realtor.ca (couverture MLS pan-bannières, QC)\n# API interne https://api2.realtor.ca/Listing.svc/PropertySearch_Post (POST\n# form). Protégée (DataDome/Incapsula) : l'accès direct renvoie 403, mais\n# l'API se REJOUE via Scrapfly ASP SANS render_js (1 crédit-appel ASP, pas de\n# navigateur) → JSON complet : n° MLS, GPS, prix, CAC/SDB, superficie, photos,\n# courtier + agence. Vérifié 2026-08-18 : 200 fiches/page, plafond serveur\n# 600 fiches (MaxRecords) par recherche → SHARDING par boîtes lat/lng\n# couvrant le Québec, tri « plus récentes d'abord » (Sort=6-D).\n#\n# BUDGET BORNÉ : IMMOKA_REALTOR_MAX fiches max par sync (défaut 2 000, soit\n# ~10 appels Scrapfly), réparties en balayant la page 1 de chaque shard puis\n# les pages 2-3 si le budget le permet. Les fiches plus anciennes sortent de\n# la fenêtre au fil des syncs (miss_count → active=0) : le connecteur vaut\n# surtout pour les inscriptions récentes des bannières non couvertes.\n# Mettre IMMOKA_REALTOR_MAX=0 pour désactiver le connecteur.\n#\n# source_id « realtor_ag_ca » : l'infixe _ag_ + external_id = n° MLS Centris\n# activent la dédup existante — toute fiche déjà couverte par un connecteur\n# direct (RE/MAX, Royal LePage, Sutton…) est masquée, seules les fiches\n# UNIQUES (petites bannières sans connecteur) restent visibles.\n#\n# ENRICHISSEMENT DÉTAIL (2026-08-18) : la réponse PropertySearch_Post ne\n# contient qu'UNE photo et un PublicRemarks VIDE (vérifié) — la galerie\n# complète, la description et les caractéristiques Building/Land viennent de\n# l'API Listing.svc/PropertyDetails (GET, mêmes protections → Scrapfly ASP\n# sans render_js, 1 crédit-appel), rejouée avec CultureId=2 (français) via\n# ReferenceNumber=<MLS> + PropertyID=<Id interne>. Cache BD detail_cache\n# (_detailutil.enrich) : chaque fiche n'est détaillée qu'UNE fois ; budget\n# IMMOKA_REALTOR_DETAIL_LIMIT appels/cycle (défaut 100, override ponctuel\n# IMMOKA_DETAIL_LIMIT) → rattrapage progressif du stock, nouveautés ensuite.\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport os\n\nfrom . import _detailutil as du\nfrom .base import BaseConnector\nfrom ..schema import PropertyListing\n\nSEARCH_URL = \"https://api2.realtor.ca/Listing.svc/PropertySearch_Post\"\nDETAIL_URL = \"https://api2.realtor.ca/Listing.svc/PropertyDetails\"\nSITE = \"https://www.realtor.ca\"\n\nMAX_RECORDS = int(os.environ.get(\"IMMOKA_REALTOR_MAX\", \"2000\"))\nDETAIL_LIMIT = int(os.environ.get(\"IMMOKA_DETAIL_LIMIT\")\n or os.environ.get(\"IMMOKA_REALTOR_DETAIL_LIMIT\", \"100\"))\nPER_PAGE = 200 # maximum accepté par l'API\nMAX_PAGES_PER_SHARD = 3 # plafond serveur : MaxRecords=600 par recherche\n\n# Boîtes (sud, ouest, nord, est) couvrant le Québec habité, par densité\n# décroissante — le budget est d'abord dépensé sur les marchés actifs.\nSHARDS: list[tuple[str, float, float, float, float]] = [\n (\"montreal-laval\", 45.35, -74.05, 45.75, -73.30),\n (\"monteregie\", 45.00, -74.40, 45.35, -72.80),\n (\"rive-sud-est\", 45.35, -73.30, 45.75, -72.80),\n (\"laurentides-lanaudiere\", 45.75, -74.80, 46.40, -73.20),\n (\"quebec-metro\", 46.55, -71.65, 47.10, -70.90),\n (\"chaudiere-appalaches\", 46.00, -71.80, 46.85, -70.00),\n (\"estrie\", 45.00, -72.80, 45.90, -71.50),\n (\"mauricie-cdq\", 45.90, -73.20, 46.90, -71.80),\n (\"outaouais\", 45.30, -77.60, 46.50, -74.80),\n (\"saguenay-lac-st-jean\", 48.00, -72.60, 48.80, -70.70),\n (\"bas-st-laurent-gaspesie\", 47.20, -70.60, 49.40, -64.00),\n (\"charlevoix-cote-nord\", 47.00, -71.00, 50.40, -65.90),\n (\"abitibi-temiscamingue\", 47.20, -79.60, 48.90, -77.40),\n (\"hautes-laurentides\", 46.40, -76.00, 47.20, -74.20),\n]\n\n\nclass RealtorCaConnector(BaseConnector):\n source_id = \"realtor_ag_ca\"\n request_delay = 0.2 # Scrapfly gère la politesse côté cible\n use_detail_cache = True # galerie/description via PropertyDetails, cachées\n\n def __init__(self) -> None:\n super().__init__()\n # external_id -> Id interne Realtor (PropertyID requis par l'API détail)\n self._prop_ids: dict[str, str] = {}\n\n def _search(self, shard: tuple, page: int) -> dict:\n _, south, west, north, east = shard\n body = \"&\".join(f\"{k}={v}\" for k, v in {\n \"ZoomLevel\": 10,\n \"LatitudeMax\": north, \"LongitudeMax\": east,\n \"LatitudeMin\": south, \"LongitudeMin\": west,\n \"Sort\": \"6-D\", # inscription la plus récente d'abord\n \"PropertyTypeGroupID\": 1, # résidentiel\n \"TransactionTypeId\": 2, # à vendre\n \"PropertySearchTypeId\": 0,\n \"Currency\": \"CAD\",\n \"RecordsPerPage\": PER_PAGE,\n \"CurrentPage\": page,\n \"CultureId\": 1,\n \"ApplicationId\": 1,\n \"PropertyStatusId\": 1,\n \"Version\": \"7.0\",\n }.items())\n result = self.scrapfly(\n SEARCH_URL, render_js=False, asp=True, method=\"POST\", body=body,\n headers={\n \"Content-Type\": \"application/x-www-form-urlencoded; charset=UTF-8\",\n \"Referer\": \"https://www.realtor.ca/\",\n \"Origin\": \"https://www.realtor.ca\",\n })\n try:\n return json.loads(result.get(\"content\") or \"\")\n except ValueError:\n return {}\n\n def fetch(self) -> list[PropertyListing]:\n if MAX_RECORDS <= 0:\n return []\n by_id: dict[str, PropertyListing] = {}\n exhausted: set[str] = set()\n for page in range(1, MAX_PAGES_PER_SHARD + 1):\n for shard in SHARDS:\n name = shard[0]\n if name in exhausted or len(by_id) >= MAX_RECORDS:\n continue\n data = self._search(shard, page)\n results = data.get(\"Results\") or []\n if len(results) < PER_PAGE:\n exhausted.add(name)\n if not results:\n continue\n for item in results:\n lst = self._to_listing(item)\n if lst and lst.external_id not in by_id:\n by_id[lst.external_id] = lst\n if len(by_id) >= MAX_RECORDS:\n break\n listings = list(by_id.values())\n self._enrich(listings)\n return listings\n\n # -- détail : galerie complète + description + caractéristiques -----------\n def _fetch_detail(self, mls: str, pid: str) -> str:\n \"\"\"JSON brut de l'API PropertyDetails (CultureId=2 → contenu français).\"\"\"\n result = self.scrapfly(\n f\"{DETAIL_URL}?ReferenceNumber={mls}&PropertyID={pid}\"\n \"&ApplicationId=1&CultureId=2&PreferedMeasurementUnit=1\",\n render_js=False, asp=True,\n headers={\"Referer\": \"https://www.realtor.ca/\",\n \"Origin\": \"https://www.realtor.ca\"})\n if result.get(\"status_code\") != 200:\n raise RuntimeError(f\"PropertyDetails {mls}: \"\n f\"HTTP {result.get('status_code')}\")\n return result.get(\"content\") or \"\"\n\n def _enrich(self, listings: list[PropertyListing]) -> None:\n \"\"\"Complète chaque fiche via PropertyDetails, avec cache BD + budget.\n\n Contrairement à _detailutil.enrich, un échec (challenge ASP, JSON\n invalide) n'est JAMAIS mis en cache : la fiche est retentée au\n prochain cycle. Une fiche détaillée avec succès ne coûte plus rien.\n \"\"\"\n if DETAIL_LIMIT <= 0:\n return\n from .. import db\n con = db.connect()\n budget = DETAIL_LIMIT\n try:\n for lst in listings:\n payload = db.get_cached_detail(con, self.source_id,\n lst.external_id, \"v1\")\n if payload is None:\n pid = self._prop_ids.get(lst.external_id, \"\")\n mls = lst.mls or lst.external_id\n if budget <= 0 or not pid or not mls:\n continue\n budget -= 1\n try:\n payload = _parse_detail(self._fetch_detail(mls, pid))\n except Exception:\n payload = {}\n if not payload:\n continue # échec transitoire : nouvel essai plus tard\n db.put_cached_detail(con, self.source_id,\n lst.external_id, \"v1\", payload)\n du.apply_detail(lst, payload)\n finally:\n con.close()\n\n def _to_listing(self, item: dict) -> PropertyListing | None:\n prop = item.get(\"Property\") or {}\n addr = prop.get(\"Address\") or {}\n text = addr.get(\"AddressText\") or \"\"\n # « 680 Rue De Courcelle|#613|Montréal (Le Sud-Ouest), Quebec H4C0B8 »\n if \", Quebec\" not in text and \", Québec\" not in text:\n return None # les shards frontaliers débordent (Ottawa, N.-B.)\n parts = [p.strip() for p in text.split(\"|\")]\n locality = parts[-1] if parts else \"\"\n street = \", \".join(parts[:-1]) if len(parts) > 1 else \"\"\n city = sector = \"\"\n loc = locality.split(\", Quebec\")[0].split(\", Québec\")[0]\n if \"(\" in loc:\n city, _, rest = loc.partition(\"(\")\n city, sector = city.strip(), rest.rstrip(\")\").strip()\n else:\n city = loc.strip()\n mls = str(item.get(\"MlsNumber\") or \"\").strip()\n rid = str(item.get(\"Id\") or \"\").strip()\n if not (mls or rid) or not street:\n return None\n try:\n price = float(prop.get(\"PriceUnformattedValue\"))\n except (TypeError, ValueError):\n price = None\n building = item.get(\"Building\") or {}\n lst = PropertyListing(\n source=self.source_id,\n external_id=mls or rid,\n url=f\"{SITE}{item.get('RelativeDetailsURL') or ''}\",\n title=f\"{building.get('Type') or prop.get('Type') or ''} — {city}\".strip(\" —\"),\n address=street,\n sector=sector,\n city=city,\n property_type=building.get(\"Type\") or prop.get(\"Type\") or \"\",\n price=price,\n price_label=prop.get(\"Price\") or \"\",\n mls=mls,\n description=(item.get(\"PublicRemarks\") or \"\").strip(),\n )\n try:\n lst.lat = float(addr.get(\"Latitude\"))\n lst.lng = float(addr.get(\"Longitude\"))\n except (TypeError, ValueError):\n pass\n beds = str(building.get(\"Bedrooms\") or \"\")\n if beds:\n try: # « 3 + 1 » → 4\n lst.bedrooms = sum(int(x) for x in beds.replace(\" \", \"\").split(\"+\") if x)\n except ValueError:\n pass\n try:\n lst.bathrooms = int(building.get(\"BathroomTotal\"))\n except (TypeError, ValueError):\n pass\n try:\n lst.powder_rooms = int(building.get(\"HalfBathTotal\"))\n except (TypeError, ValueError):\n pass\n size = building.get(\"SizeInterior\") or \"\"\n if size:\n lst.details[\"Superficie habitable\"] = size\n land = (item.get(\"Land\") or {}).get(\"SizeTotal\") or \"\"\n if land:\n lst.details[\"Superficie du terrain\"] = land\n alt = (item.get(\"AlternateURL\") or {}).get(\"DetailsLink\") or \"\"\n if alt:\n lst.details[\"Annonce originale\"] = alt\n lst.images = [p.get(\"HighResPath\") or p.get(\"MedResPath\")\n for p in (prop.get(\"Photo\") or []) if isinstance(p, dict)]\n lst.images = [u for u in lst.images if u]\n ind = (item.get(\"Individual\") or [{}])[0]\n lst.broker_name = ind.get(\"Name\") or \"\"\n org = ind.get(\"Organization\") or {}\n lst.agency = org.get(\"Name\") or \"\"\n phones = ind.get(\"Phones\") or []\n if phones:\n p0 = phones[0]\n lst.broker_phone = f\"{p0.get('AreaCode', '')} {p0.get('PhoneNumber', '')}\".strip()\n if rid: # Id interne Realtor, requis par l'API PropertyDetails\n self._prop_ids[lst.external_id] = rid\n return lst\n\n\n# libellés français des caractéristiques structurées de PropertyDetails\n_DETAIL_LABELS = [\n # (section, clé API, libellé Immo-Ka)\n (\"Building\", \"ConstructedDate\", \"Année de construction\"),\n (\"Building\", \"SizeInterior\", \"Superficie habitable\"),\n (\"Building\", \"StoriesTotal\", \"Nombre d'étages\"),\n (\"Building\", \"ConstructionStyleAttachment\", \"Type de bâtiment\"),\n (\"Building\", \"HeatingType\", \"Système de chauffage\"),\n (\"Building\", \"HeatingFuel\", \"Énergie pour le chauffage\"),\n (\"Building\", \"CoolingType\", \"Climatisation\"),\n (\"Building\", \"ExteriorFinish\", \"Revêtement\"),\n (\"Building\", \"RoofMaterial\", \"Toiture\"),\n (\"Building\", \"FoundationType\", \"Fondations\"),\n (\"Building\", \"BasementType\", \"Sous-sol\"),\n (\"Building\", \"FireplaceTotal\", \"Foyers\"),\n (\"Building\", \"Water\", \"Approvisionnement en eau\"),\n (\"Land\", \"SizeTotal\", \"Superficie du terrain\"),\n (\"Land\", \"Sewer\", \"Système d'égouts\"),\n (\"Land\", \"LandscapeFeatures\", \"Aménagement paysager\"),\n (\"Property\", \"PoolType\", \"Piscine\"),\n (\"Property\", \"ZoningType\", \"Zonage\"),\n (\"Property\", \"ParkingSpaceTotal\", \"Stationnement (total)\"),\n (\"Property\", \"OwnershipType\", \"Type de copropriété\"),\n (\"Property\", \"TaxTotal\", \"Taxes annuelles\"),\n]\n\n\ndef _parse_detail(content: str) -> dict:\n \"\"\"Réponse PropertyDetails (JSON) → payload compatible du.apply_detail.\"\"\"\n try:\n d = json.loads(content or \"\")\n except ValueError:\n return {}\n if not isinstance(d, dict) or not d.get(\"Id\"):\n return {}\n prop = d.get(\"Property\") or {}\n sections = {\"Property\": prop, \"Building\": d.get(\"Building\") or {},\n \"Land\": d.get(\"Land\") or {}}\n out: dict = {}\n images = [p.get(\"HighResPath\") or p.get(\"MedResPath\")\n for p in (prop.get(\"Photo\") or []) if isinstance(p, dict)]\n images = [u for u in images if u]\n if images:\n out[\"images\"] = images\n desc = (d.get(\"PublicRemarks\") or \"\").strip()\n if desc:\n out[\"description\"] = desc\n details: dict = {}\n for section, key, label in _DETAIL_LABELS:\n val = sections[section].get(key)\n if val not in (None, \"\", 0, \"0\"):\n details[label] = str(val)\n parking = [p.get(\"Name\") for p in (prop.get(\"Parking\") or [])\n if isinstance(p, dict) and p.get(\"Name\")]\n if parking:\n details[\"Stationnement\"] = \", \".join(dict.fromkeys(parking))\n rooms = (sections[\"Building\"].get(\"Room\") or [])\n if rooms:\n details[\"Nombre de pièces\"] = str(len(rooms))\n alt = (d.get(\"AlternateURL\") or {}).get(\"DetailsLink\") or \"\"\n if alt:\n details[\"Annonce originale\"] = alt\n if details:\n out[\"details\"] = details\n feats: list[str] = []\n for blob in (prop.get(\"Features\"), prop.get(\"AmmenitiesNearBy\")):\n for f in (blob or \"\").split(\",\"):\n if f.strip():\n feats.append(f.strip())\n if feats:\n out[\"features\"] = feats\n b = sections[\"Building\"]\n for src, dst in ((\"ConstructedDate\", \"year_built\"),\n (\"HalfBathTotal\", \"powder_rooms\")):\n v = du._int(b.get(src))\n if v:\n out[dst] = v\n ind = (d.get(\"Individual\") or [{}])[0]\n if ind.get(\"Name\"):\n out[\"broker_name\"] = ind[\"Name\"]\n for p in ind.get(\"Phones\") or []:\n if p.get(\"PhoneNumber\"):\n out[\"broker_phone\"] = (f\"{p.get('AreaCode', '')} \"\n f\"{p['PhoneNumber']}\").strip()\n break\n return out","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bc9346e3-7d94-4968-bd35-ac78fbed9061","timestamp":"2026-08-23T05:06:24.367Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bjze3efns","tool_use_id":"toolu_01CDJcSgumnRme8DuGNdvbsK","description":"Test WooCommerce store API on 3 broken Woo sites","task_type":"local_bash","uuid":"215a6e85-09c3-43c0-9583-08ec405b91c4","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hPGccoDnHVKU6jYrB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISrAIKpwEIERgCKkDNVZWxXquz8+EVcx2WQ5vi3j3iQTlBFONnjta/FoVOOzJPZMKlojCUVmBA7rskq0zIrJ8DI0ueGoL6rLWMbgJIMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAdIVqGJg7PzozfP3tSqTZWiAEBqAHS/6nUBrABAhIMPFMYJl4Vl+4dp+1UGgzApSHnDpjr/icT3qIiMEdJBIHJEkTk5mliUPlPovvNVz764fbH06Rx8D5Q41pBBlJsQtltCMjm3+xubFGafSoy6I+sQRXNCh/PIydLLc4SfEirnGUfK9LBv+ZnwWgBb5QFvxE/bCZl3f2VNaaHAd/NUgsYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2365,"cache_read_input_tokens":69121,"cache_creation":{"ephemeral_5m_input_tokens":2365,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f75cd18e-4108-40a8-956c-50f66db142cc","request_id":"req_011CeK6hMvkrkg4rYWVYkitB","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hPGccoDnHVKU6jYrB","type":"message","role":"assistant","content":[{"type":"text","text":"Maintenant je vérifie les 3 sites en vrai."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2365,"cache_read_input_tokens":69121,"cache_creation":{"ephemeral_5m_input_tokens":2365,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d10883bf-c39c-449e-9699-8ebf5371a97c","request_id":"req_011CeK6hMvkrkg4rYWVYkitB","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"1de0230d-47ea-41cd-9781-f3ba4beb5828","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bjze3efns","tool_use_id":"toolu_01CDJcSgumnRme8DuGNdvbsK","status":"completed","output_file":"","summary":"Test WooCommerce store API on 3 broken Woo sites","uuid":"75ad6dbd-967a-4e0d-8488-a0dda45d2243","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CDJcSgumnRme8DuGNdvbsK","type":"tool_result","content":"== https://www.rose.ca\n[]\nHTTP 200\n\n== https://saveursmitis.com\n[]\nHTTP 200\n\n== https://canadel.com\n\n[{\"id\":290055,\"name\":\"Stool 8300\",\"slug\":\"stool-8300\",\"parent\":0,\"type\":\"simple\",\"variation\":\"\",\"permalink\":\"https:\\/\\/canadel.com\\/collections\\/canadel\\/stools\\/snf083007u19m24\\/\",\"sku\":\"SNF083007U19M24\",\"short_description\":\"\",\"description\":\"<p><i>SKU: <div class=\\\"pods-ui-notice pods-ui-notice-notice pods-ui-notice-notice-error pods-ui-notice-is-dismissible pods-ui-notice-front\\\"><p><strong>Pod","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c2516dee-61df-46f9-bc16-52442fc3876b","timestamp":"2026-08-23T05:06:27.452Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"e4f697bf-79b8-4913-afab-78e7b609ef71","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":250,"estimated_tokens_delta":100,"uuid":"430733b4-f4ff-49e3-9f04-d1de06a85afc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":300,"estimated_tokens_delta":50,"uuid":"38391c0a-6045-44af-93c4-91a1b7c2ae37","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hPGccoDnHVKU6jYrB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01L4FAJcZUCUpdmrcZY6Eiim","name":"Bash","input":{"command":"curl -sL -A \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 LouKaBot/1.0 (+https://www.lou-ka.com/bot; contact@spboucher.ai)\" -o /tmp/courtemanche.html -w \"%{http_code} %{url_effective}\\n\" \"https://gestioncourtemanche.ca/location/tous/\" && python3 - <<'EOF'\nfrom bs4 import BeautifulSoup\nimport re\nhtml = open('/tmp/courtemanche.html', errors='replace').read()\nsoup = BeautifulSoup(html, 'html.parser')\nprint(\"boxes:\", len(soup.select(\".real-estate-list .real-estate-box\")))\nprint(\"boxes any:\", len(soup.select(\".real-estate-box\")))\nt = soup.get_text(\" \", strip=True)\nm = re.search(r\"[Aa]ucun logement[^.]*\", t)\nprint(\"msg:\", m.group(0)[:120] if m else None)\nprint(\"len:\", len(html), \"title:\", soup.title.get_text() if soup.title else None)\nEOF","description":"Check Courtemanche listing page live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2365,"cache_read_input_tokens":69121,"cache_creation":{"ephemeral_5m_input_tokens":2365,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"29365100-cd59-4bc6-abf7-176e78163381","request_id":"req_011CeK6hMvkrkg4rYWVYkitB","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Check Courtemanche listing page live","subagent_type":"general-purpose","usage":{"total_tokens":71672,"tool_uses":18,"duration_ms":148010},"last_tool_name":"Bash","uuid":"c9962bd2-f7f7-40b6-b307-1c455dc8fc38","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n200 https://gestioncourtemanche.ca/location/tous/\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","is_error":true,"tool_use_id":"toolu_01L4FAJcZUCUpdmrcZY6Eiim"}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"4ab4449f-09bd-46e0-8f6e-d1d36958be5d","timestamp":"2026-08-23T05:06:31.442Z","tool_use_result":"Error: Exit code 1\n200 https://gestioncourtemanche.ca/location/tous/\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":350,"estimated_tokens_delta":50,"uuid":"a47d29a9-7210-4af3-bae2-9bafa7bb31cc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hP4Tw7ieu61R1JnAz","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":991,"cache_read_input_tokens":174622,"cache_creation":{"ephemeral_5m_input_tokens":991,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"51bcb744-2158-43c3-a638-607c95d876cb","request_id":"req_011CeK6hMSyqmrBYPXz83qsQ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hP4Tw7ieu61R1JnAz","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":991,"cache_read_input_tokens":174622,"cache_creation":{"ephemeral_5m_input_tokens":991,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2f0fb78b-c156-4acd-882c-b1eb5726acd9","request_id":"req_011CeK6hMSyqmrBYPXz83qsQ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hP4Tw7ieu61R1JnAz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014DZD5rxC2a9hBDqMPoJmL7","name":"Bash","input":{"command":"ls ~/apps/job-ka/jobka/connectors/ | grep -iE \"kruger|flinks\"; head -40 ~/apps/job-ka/jobka/connectors/kruger.py 2>/dev/null","description":"Look at kruger connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":991,"cache_read_input_tokens":174622,"cache_creation":{"ephemeral_5m_input_tokens":991,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bbe159ac-c6d6-4ed2-9332-53a08038d0b7","request_id":"req_011CeK6hMSyqmrBYPXz83qsQ"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hNWj223KNnqL251UN","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":5650,"cache_read_input_tokens":33221,"cache_creation":{"ephemeral_5m_input_tokens":5650,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ec80010a-0136-4e37-b8e8-80ea44d3e945","request_id":"req_011CeK6hMGpLxvbh32vR8GYB","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hNWj223KNnqL251UN","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":5650,"cache_read_input_tokens":33221,"cache_creation":{"ephemeral_5m_input_tokens":5650,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5c5fbce1-b0e2-4a1a-bb83-1fbc78682e1a","request_id":"req_011CeK6hMGpLxvbh32vR8GYB","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014DZD5rxC2a9hBDqMPoJmL7","type":"tool_result","content":"flinks.py\nkruger.py\nproduits_kruger.py\n# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/connectors/kruger.py\n# Rôle : Connecteur Kruger inc. (papiers, énergie — siège à Montréal) —\n# Taleo Business Edition, flux RSS public (usines hors QC filtrées\n# par le lieu du JSON-LD des pages détail)\n# Créé : 2026-08-19 Modifié : 2026-08-19\n# =============================================================================\nfrom .taleo_tbe import TaleoTBEConnector\n\n\nclass KrugerConnector(TaleoTBEConnector):\n source_id = \"kruger\"\n EMPLOYER = \"Kruger\"\n HOST = \"tre\"\n INST = \"tre01\"\n ORG = \"KRUGER2\"\n CWS = \"76\"","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6a14a8bb-af13-4aed-ab63-ba6310012383","timestamp":"2026-08-23T05:06:33.655Z","tool_use_result":{"stdout":"flinks.py\nkruger.py\nproduits_kruger.py\n# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/connectors/kruger.py\n# Rôle : Connecteur Kruger inc. (papiers, énergie — siège à Montréal) —\n# Taleo Business Edition, flux RSS public (usines hors QC filtrées\n# par le lieu du JSON-LD des pages détail)\n# Créé : 2026-08-19 Modifié : 2026-08-19\n# =============================================================================\nfrom .taleo_tbe import TaleoTBEConnector\n\n\nclass KrugerConnector(TaleoTBEConnector):\n source_id = \"kruger\"\n EMPLOYER = \"Kruger\"\n HOST = \"tre\"\n INST = \"tre01\"\n ORG = \"KRUGER2\"\n CWS = \"76\"","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"d00cde24-6d64-4810-9cf5-1860908b7e5c","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hdjGeocRAf9v1tZvb","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":9865,"cache_read_input_tokens":45584,"cache_creation":{"ephemeral_5m_input_tokens":9865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5d3c35cb-98d8-4393-984e-d859835df189","request_id":"req_011CeK6hcQeB7jo2B3GwVazz","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hdjGeocRAf9v1tZvb","type":"message","role":"assistant","content":[{"type":"text","text":"The logs show realtor_ag_ca succeeding (found ~2100+ each cycle). This is likely a monitoring-window false negative (task 3). Let me check the DB sync history and the stats route."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9865,"cache_read_input_tokens":45584,"cache_creation":{"ephemeral_5m_input_tokens":9865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d8b769b5-9bb1-4d87-b3ce-0f2f0e18ed29","request_id":"req_011CeK6hcQeB7jo2B3GwVazz","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hPGccoDnHVKU6jYrB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ELXjegkzWtN4iC3hpqs9Nh","name":"Bash","input":{"command":"curl -sL -A \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126 Safari/537.36 LouKaBot/1.0 (+https://www.lou-ka.com/bot; contact@spboucher.ai)\" -o /tmp/florimay.html -w \"%{http_code} %{url_effective}\\n\" \"https://placeflorimay.ca/\" && python3 - <<'EOF'\nfrom bs4 import BeautifulSoup\nimport re, collections\nhtml = open('/tmp/florimay.html', errors='replace').read()\nsoup = BeautifulSoup(html, 'html.parser')\nels = soup.select(\"[data-numero]\")\ncnt = collections.Counter()\navail = set()\nfor el in els:\n cls = \" \".join(el.get(\"class\") or [])\n if re.search(r\"\\bdisponible\\b\", cls) and not re.search(r\"indisponible|attente\", cls):\n avail.add(el.get(\"data-numero\"))\n cnt[\"indisponible\" if \"indisponible\" in cls else (\"disponible\" if \"disponible\" in cls else \"autre\")] += 1\nprint(\"data-numero els:\", len(els), dict(cnt), \"dispo uniques:\", len(avail))\nprint(\"len:\", len(html), \"title:\", soup.title.get_text() if soup.title else None)\nEOF","description":"Check Place Florimay selector live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2365,"cache_read_input_tokens":69121,"cache_creation":{"ephemeral_5m_input_tokens":2365,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a6dea083-22d6-4a42-9453-cb9a81f99181","request_id":"req_011CeK6hMvkrkg4rYWVYkitB","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Check Place Florimay selector live","subagent_type":"general-purpose","usage":{"total_tokens":71676,"tool_uses":19,"duration_ms":152251},"last_tool_name":"Bash","uuid":"d4f7bca5-dbb3-4a89-a470-9cfd989632a1","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hNWj223KNnqL251UN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013yFL1fdQMLqEhHV6veJWpg","name":"Bash","input":{"command":"ssh M4M64b 'grep -rn \"_fine_print\" ~/apps/food-ka --include=\"*.py\" | head; echo ---; cd ~/apps/food-ka && git log --oneline -5 && git status --short | head'","description":"Find _fine_print bug in food-ka code"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5650,"cache_read_input_tokens":33221,"cache_creation":{"ephemeral_5m_input_tokens":5650,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"01d03dc5-fb66-472d-b0e7-3fcb9310fda8","request_id":"req_011CeK6hMGpLxvbh32vR8GYB","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Find _fine_print bug in food-ka code","subagent_type":"general-purpose","usage":{"total_tokens":39021,"tool_uses":13,"duration_ms":98320},"last_tool_name":"Bash","uuid":"00603504-5d96-4d00-a62e-7648b933e7ec","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013yFL1fdQMLqEhHV6veJWpg","type":"tool_result","content":"/Users/simon-pierreboucher/apps/food-ka/foodka/connectors/_flipp.py:218: \"fine_print\": self._fine_print(item, detail) or None,\n/Users/simon-pierreboucher/apps/food-ka/foodka/connectors/_flipp.py:240: def _fine_print(item: dict, detail: dict | None = None) -> str:\n---\nb3fb45d tri par défaut : nouveautés (first_seen DESC) au lieu du prix croissant\n83a65b8 standard header/menu KA 2026-08-22 : header opaque + z-index tokens + ka-scroll-lock\n5b54f54 ka-agent v3 : bulle déplaçable par l'usager (drag pointer events + position mémorisée par site) — sync ka-ui 4e63c53\n1929f19 SEO : SSR léger, robots.txt, sitemaps et données structurées (foodka/seo.py)\n4474b20 connecteurs: chaine de fetch anti-bot resiliente (Oxylabs->Scrapfly->Bright Data)","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"eed84a7f-cdce-4b8b-aca9-4b4e707a6165","timestamp":"2026-08-23T05:06:35.951Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hdjGeocRAf9v1tZvb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NYuLbdXfkfHDbB7z3TuWi6","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && grep -n \"recent_syncs\\|sync_log\\|LIMIT\" immoka/web.py immoka/stats.py immoka/db.py | head -30'","description":"Find recent_syncs query"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9865,"cache_read_input_tokens":45584,"cache_creation":{"ephemeral_5m_input_tokens":9865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"014f7c11-8f40-4f20-88c2-2e5bfaa611f1","request_id":"req_011CeK6hcQeB7jo2B3GwVazz","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Find recent_syncs query","subagent_type":"general-purpose","usage":{"total_tokens":55725,"tool_uses":22,"duration_ms":136834},"last_tool_name":"Bash","uuid":"4846fbbd-fbf9-4f62-912b-b916242b742b","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NYuLbdXfkfHDbB7z3TuWi6","type":"tool_result","content":"immoka/web.py:129: sql += order + \" LIMIT ? OFFSET ?\"\nimmoka/web.py:145: \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 10\",\nimmoka/web.py:237: sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\nimmoka/web.py:300: \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\nimmoka/web.py:375: \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\nimmoka/web.py:421: \"recent_syncs\": log}\nimmoka/stats.py:7:# (listings, price_log, sync_log) — AUCUNE statistique inventée : une\nimmoka/stats.py:258: \"SELECT COUNT(DISTINCT source) n FROM sync_log WHERE ok=1 AND ts>=?\"\nimmoka/stats.py:468: \" COUNT(DISTINCT source) n FROM sync_log\"\nimmoka/stats.py:635: \" GROUP BY property_type ORDER BY n DESC LIMIT 9\")]\nimmoka/stats.py:680: \" GROUP BY source ORDER BY n DESC LIMIT 12\")]\nimmoka/stats.py:785: \" GROUP BY source ORDER BY n DESC LIMIT 50\", (ep_frm, ep_to)).fetchall()\nimmoka/stats.py:790: \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\nimmoka/stats.py:926: + VISIBLE + \" ORDER BY (last_seen-first_seen) ASC LIMIT 1\",\nimmoka/stats.py:952: \" AND price BETWEEN ? AND ? ORDER BY price DESC LIMIT 1\",\nimmoka/stats.py:972: \" ORDER BY area_sqft DESC LIMIT 1\").fetchone()\nimmoka/db.py:76:CREATE TABLE IF NOT EXISTS sync_log (\nimmoka/db.py:352: \"SELECT found, stats FROM sync_log WHERE source=? AND ok=1\"\nimmoka/db.py:353: \" ORDER BY ts DESC LIMIT ?\", (source, DRIFT_HISTORY)).fetchall()\nimmoka/db.py:493: \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok,\"\nimmoka/db.py:507: \"INSERT INTO sync_log (source, ts, found, added, updated, removed, ok, message)\"","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"60ef669a-d1c9-48b6-a05d-c355d1c986b6","timestamp":"2026-08-23T05:06:36.296Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n200 https://placeflorimay.ca/\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","is_error":true,"tool_use_id":"toolu_01ELXjegkzWtN4iC3hpqs9Nh"}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bac9d3bf-1bae-4f10-b373-ba1aee8ad098","timestamp":"2026-08-23T05:06:36.332Z","tool_use_result":"Error: Exit code 1\n200 https://placeflorimay.ca/\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hdjGeocRAf9v1tZvb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PhkE3Wxz1oWecPqxhzZ1Zq","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && ls data/ && .venv/bin/python - <<EOF\nimport sqlite3, glob\nfor p in glob.glob(\"data/*.db\"):\n print(\"==\", p)\n try:\n con = sqlite3.connect(p)\n rows = con.execute(\"select name from sqlite_master where type=\\\"table\\\"\").fetchall()\n print([r[0] for r in rows])\n con.close()\n except Exception as e:\n print(e)\nEOF'","description":"List DB tables"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":9865,"cache_read_input_tokens":45584,"cache_creation":{"ephemeral_5m_input_tokens":9865,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"a7710850-7b14-4b00-8e7c-c572aaa5a380","request_id":"req_011CeK6hcQeB7jo2B3GwVazz","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running List DB tables","subagent_type":"general-purpose","usage":{"total_tokens":55728,"tool_uses":23,"duration_ms":138200},"last_tool_name":"Bash","uuid":"f752ccc1-539a-430e-8c8f-431fe752fafa","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PhkE3Wxz1oWecPqxhzZ1Zq","type":"tool_result","content":"century21_agencies.json\nimmoka.db\nimmoka.db-shm\nimmoka.db-wal\nquartier.db\nremax_agencies.json\nsource_immo_agencies.json\nsource_immo_agencies.json.bak-20260816\nsources.json\nsources.json.bak-20260816\nvia_capitale_agencies.json\nvraiprix.db\nvraiprix.db-shm\nvraiprix.db-wal\n== data/quartier.db\n['meta', 'da_poly', 'da_stats', 'da_pmd', 'da_defav', 'ecoles', 'heat', 'crime_mtl', 'igc', 'da_pmd_pct']\n== data/vraiprix.db\n['units', 'transactions', 'market_index', 'leads', 'sqlite_sequence', 'units_fts_data', 'units_fts_idx', 'units_fts_docsize', 'units_fts_config', 'units_fts']\n== data/immoka.db\n['listings', 'sync_log', 'sqlite_sequence', 'detail_cache', 'price_log', 'geocode_cache', 'poi_cache', 'users', 'sqlite_stat1', 'sqlite_stat4', 'image_audit']","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c07d8b96-9b7d-4ed9-bd0b-b5b310575134","timestamp":"2026-08-23T05:06:37.705Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hPGccoDnHVKU6jYrB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Hvt5YsnagEcr7uFTDSBngS","name":"Bash","input":{"command":"curl -sL -A \"Mozilla/5.0\" -o /tmp/atlas.html -w \"%{http_code} %{url_effective}\\n\" \"http://www.atlasimmo.ca/logements-a-louer-en-beauce.php\"; python3 - <<'EOF'\nfrom bs4 import BeautifulSoup\nimport re\nhtml = open('/tmp/atlas.html', errors='replace').read()\nsoup = BeautifulSoup(html, 'html.parser')\nprint(\"resultat:\", len(soup.select(\"div.resultat\")))\nt = soup.get_text(\" \", strip=True)\nm = re.search(r\"[Aa]ucun appartement[^.]*\", t)\nprint(\"msg:\", m.group(0)[:140] if m else None)\nprint(\"len:\", len(html), \"title:\", soup.title.get_text() if soup.title else None)\nlinks = soup.select('a[href*=\"logement-a-louer\"]')\nprint(\"links:\", len(links), [l[\"href\"] for l in links[:3]])\nEOF","description":"Check Atlas Immo listing page live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2365,"cache_read_input_tokens":69121,"cache_creation":{"ephemeral_5m_input_tokens":2365,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d74abb60-bf4a-4730-84e1-9de43605ded4","request_id":"req_011CeK6hMvkrkg4rYWVYkitB","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Check Atlas Immo listing page live","subagent_type":"general-purpose","usage":{"total_tokens":71680,"tool_uses":20,"duration_ms":155198},"last_tool_name":"Bash","uuid":"b315e8da-cc6b-4b40-87d2-2f3ea7c71b76","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hNWj223KNnqL251UN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JETKfmwT9w7zrzLAW8ssHL","name":"Bash","input":{"command":"ssh M4M64b 'cd ~/auto-ka && git log --oneline -5 && git status --short | head' && ssh M4M64b \"cd ~/auto-ka && .venv/bin/python -c \\\"\nimport time\nfrom autoka import db\ncon = db.connect()\nnow = time.time()\nprint('--- echecs auto-ka (ok=0) sur 7 jours ---')\nfor r in con.execute('SELECT source, COUNT(*) c, MAX(message) msg FROM sync_log WHERE ok=0 AND ts >= ? GROUP BY source ORDER BY c DESC LIMIT 30', (now-7*86400,)):\n print(dict(r))\nprint('--- sources found=0 systematique 48h ---')\nfor r in con.execute('SELECT source, COUNT(*) n, SUM(found) tot FROM sync_log WHERE ts >= ? GROUP BY source HAVING tot=0', (now-2*86400,)):\n print(dict(r))\n\\\"\"","description":"Check auto-ka failures and zero-found sources"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":5650,"cache_read_input_tokens":33221,"cache_creation":{"ephemeral_5m_input_tokens":5650,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"85c3be46-4740-4a7c-a461-89ca3648e386","request_id":"req_011CeK6hMGpLxvbh32vR8GYB","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Check auto-ka failures and zero-found sources","subagent_type":"general-purpose","usage":{"total_tokens":39024,"tool_uses":14,"duration_ms":101825},"last_tool_name":"Bash","uuid":"6a49a86f-1d03-45c4-9e1a-d79b7e992774","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JETKfmwT9w7zrzLAW8ssHL","type":"tool_result","content":"f692a48 tri par défaut : arrivages récents (first_seen DESC) au lieu du prix croissant\n891fe5e standard header/menu KA 2026-08-22 : header opaque + z-index tokens + ka-scroll-lock\nf739cb0 ka-agent v3 : bulle déplaçable par l'usager (drag pointer events + position mémorisée par site) — sync ka-ui 4e63c53\na3660a5 SEO : lang fr-CA sur la coquille HTML\n44aee9e connecteurs: chaine de fetch anti-bot resiliente (Oxylabs->Scrapfly->Bright Data)\n--- echecs auto-ka (ok=0) sur 7 jours ---\n{'source': 'fordthetford', 'c': 4, 'msg': \"HTTPSConnectionPool(host='www.fordthetford.com', port=443): Max retries exceeded with url: /fr/sitemap.xml (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1081)')))\"}\n{'source': 'hondacharlevoix', 'c': 2, 'msg': \"HTTPSConnectionPool(host='www.hondacharlevoix.com', port=443): Max retries exceeded with url: /fr/sitemap.xml (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1081)')))\"}\n{'source': 'cargurus', 'c': 1, 'msg': \"HTTPSConnectionPool(host='api.scrapfly.io', port=443): Read timed out. (read timeout=120)\"}\n{'source': 'albioccasion', 'c': 1, 'msg': '502 Server Error: Bad Gateway for url: https://www.albioccasion.com/fr/inventaire/?page=50'}\n--- sources found=0 systematique 48h ---","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"137ca60b-04c1-4c89-b5bc-051325616f04","timestamp":"2026-08-23T05:06:39.384Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\n200 http://www.atlasimmo.ca/logements-a-louer-en-beauce.php\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","is_error":true,"tool_use_id":"toolu_01Hvt5YsnagEcr7uFTDSBngS"}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"fd3406b4-4e65-4a60-bac4-cf41449b459d","timestamp":"2026-08-23T05:06:39.483Z","tool_use_result":"Error: Exit code 1\n200 http://www.atlasimmo.ca/logements-a-louer-en-beauce.php\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nModuleNotFoundError: No module named 'bs4'","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6iKeMwf3AKVTDAb6TC","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016rrYwbsrVcf3844T1Lhm8q","name":"Bash","input":{"command":"cd ~/apps/job-ka && .venv/bin/python -c \"\nfrom jobka.connectors.kruger import KrugerConnector\nfrom jobka.connectors.flinks import FlinksConnector\nimport inspect\nsrc = 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live"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":418,"cache_read_input_tokens":176549,"cache_creation":{"ephemeral_5m_input_tokens":418,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2d34db77-e3c0-43d0-9805-316abc43777a","request_id":"req_011CeK6ikDiynXZokoA92ShA"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Xkiu5yQwS6fnSmAVR1rGtp","type":"tool_result","content":"200 taille 1506381\n<?xml version=\"1.0\" encoding=\"UTF-8\" ?>\n<?xml-stylesheet type=\"text/xsl\" href=\"https://tre.tbe.taleo.net/tre01/ats/rss/taleorssfeed.xsl\" ?>\n<?xml-stylesheet type=\"text/css\" href=\"https://tre.tbe.taleo.net/tre01/ats/rss/taleorssfeed.css\" ?>\n<rss xmlns:taleo=\"urn:TBERss\" version=\"2.0\">\n<channel>\n<title>Flux d'offres d'emploi de Kruger Inc.\nhttps://tre.tbe.taleo.net/dispatcher/servlet/D\n72","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"b728a9de-9847-4c08-be86-c5ae8401a3cb","timestamp":"2026-08-23T05:06:45.154Z","tool_use_result":{"stdout":"200 taille 1506381\n\n\n\n\n\nFlux d'offres d'emploi de Kruger Inc.\nhttps://tre.tbe.taleo.net/dispatcher/servlet/D\n72","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"948c9e99-7654-4316-8b71-d686799eb561","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hryk5XyBx67tgmwZd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PY7Hjh8JnNHiNQuS8f86MB","name":"Bash","input":{"command":"for u in https://www.wilsy.ca https://www.vergerlabonte.com; do echo \"== $u\"; INST=$(curl -s --max-time 20 \"$u/_api/v1/access-tokens\" | python3 -c \"import json,sys; print(json.load(sys.stdin)['apps']['1380b703-ce81-ff05-f115-39571d94dfcd']['instance'])\"); curl -s --max-time 25 -X POST \"$u/_api/wix-ecommerce-storefront-web/api\" -H \"Authorization: $INST\" -H \"Content-Type: application/json\" -d '{\"query\":\"query getFilteredProducts($limit:Int!,$offset:Int!){catalog{category(categoryId:\\\"00000000-000000-000000-000000000001\\\"){numOfProducts productsWithMetaData(limit:$limit,offset:$offset,onlyVisible:true){list{id name}}}}}\",\"variables\":{\"limit\":5,\"offset\":0}}' | head -c 600; echo; done","description":"Test Wix 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niddamour","subagent_type":"general-purpose","usage":{"total_tokens":57898,"tool_uses":24,"duration_ms":148505},"last_tool_name":"Bash","uuid":"a62bb665-b7bf-4877-a8b8-c3fd307197bf","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VCxSsKf8EFc6aDnBMmr1Yx","type":"tool_result","content":"-- derniers realtor_ag_ca:\n2026-08-22T20:36:31.462445 {'ts': 1787445391.462445, 'found': 2146, 'added': 40, 'updated': 77, 'removed': 49, 'ok': 1, 'message': 'ok'}\n2026-08-22T15:22:40.575927 {'ts': 1787426560.575927, 'found': 2146, 'added': 50, 'updated': 74, 'removed': 43, 'ok': 1, 'message': 'ok'}\n2026-08-22T11:22:32.782321 {'ts': 1787412152.782321, 'found': 2145, 'added': 44, 'updated': 74, 'removed': 10, 'ok': 1, 'message': 'ok'}\n2026-08-22T06:14:25.545976 {'ts': 1787393665.5459762, 'found': 2143, 'added': 10, 'updated': 93, 'removed': 169, 'ok': 1, 'message': 'ok'}\n2026-08-22T00:00:45.435348 {'ts': 1787371245.435348, 'found': 2143, 'added': 176, 'updated': 16, 'removed': 91, 'ok': 1, 'message': 'ok'}\n2026-08-21T18:32:29.872762 {'ts': 1787351549.8727622, 'found': 2135, 'added': 93, 'updated': 79, 'removed': 204, 'ok': 1, 'message': 'ok'}\n-- derniers niddamour:\n2026-08-23T00:54:45.709443 {'ts': 1787460885.709443, 'found': 0, 'ok': 1, 'message': 'ok'}\n2026-08-23T00:49:54.893128 {'ts': 1787460594.893128, 'found': 0, 'ok': 1, 'message': 'ok'}\n2026-08-23T00:29:56.640507 {'ts': 1787459396.640507, 'found': 0, 'ok': 1, 'message': 'ok'}\n2026-08-22T19:35:26.444292 {'ts': 1787441726.444292, 'found': 0, 'ok': 1, 'message': 'ok'}\n2026-08-22T14:18:16.669474 {'ts': 1787422696.6694741, 'found': 0, 'ok': 1, 'message': 'ok'}\n2026-08-22T10:27:54.759816 {'ts': 1787408874.759816, 'found': 0, 'ok': 1, 'message': 'ok'}\n-- 20 dernières entrées (fenêtre actuelle du moniteur):\n2026-08-23T01:06:08.128396 c21_ag_vision\n2026-08-23T01:06:06.462024 c21_ag_quebec\n2026-08-23T01:05:54.764779 bhhs_ag_qc\n2026-08-23T01:05:44.153536 barnes_quebec\n2026-08-23T01:05:36.126176 cio_ag_outaouais\n2026-08-23T00:57:32.574604 si_ag_katiasamson\n2026-08-23T00:57:32.044569 si_ag_jga\n2026-08-23T00:57:31.425708 ferri\n2026-08-23T00:57:30.832764 peladeau\n2026-08-23T00:57:30.247470 provad\n2026-08-23T00:57:29.319827 avenue\n2026-08-23T00:57:28.391852 si_ag_ciemcq\n2026-08-23T00:54:48.545726 si_ag_theagency\n2026-08-23T00:54:45.709443 niddamour\n2026-08-23T00:54:45.177008 domicilia\n2026-08-23T00:54:33.954206 gaillardetz\n2026-08-23T00:54:33.258361 immodev\n2026-08-23T00:54:31.710295 realta\n2026-08-23T00:54:30.230566 image_ag_qc\n2026-08-23T00:52:58.164390 si_ag_katiasamson\n-- nb sources distinctes, nb entrées 6h:\n109\n140","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"63006315-aeb8-4936-a717-c74a27c5317f","timestamp":"2026-08-23T05:06:48.008Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6hryk5XyBx67tgmwZd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017SSMB2TgrvUXkDdwL8VCYY","name":"Bash","input":{"command":"echo \"== rose.ca total header\"; curl -sI --max-time 20 \"https://www.rose.ca/wp-json/wc/store/v1/products?per_page=1\" | grep -i \"x-wp-total\\|HTTP\"; echo \"== saveursmitis total\"; curl -sI --max-time 20 \"https://saveursmitis.com/wp-json/wc/store/v1/products?per_page=1\" | grep -i \"x-wp-total\\|HTTP\"; echo \"== rose.ca boutique page\"; curl -sL --max-time 20 \"https://www.rose.ca\" | grep -oiE \"boutique|shop|produit\" | sort | uniq -c | head","description":"Check Woo product counts and shop presence on rose/saveursmitis"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1093,"cache_read_input_tokens":41704,"cache_creation":{"ephemeral_5m_input_tokens":1093,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ee27bdac-aee2-4735-8828-64c7f6b6556d","request_id":"req_011CeK6hqauQYzX17vx1kA55","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"aa71615c2df33c00a","tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","description":"Running Check Woo product counts and shop presence on rose/saveursmitis","subagent_type":"general-purpose","usage":{"total_tokens":42952,"tool_uses":19,"duration_ms":129960},"last_tool_name":"Bash","uuid":"b1938c68-30c3-435f-840f-1542d540b0bc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":50,"estimated_tokens_delta":50,"uuid":"6ba85787-23b7-4d43-a3e3-07d463eba16e","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":150,"estimated_tokens_delta":100,"uuid":"b71ff4cd-b4a9-4867-83d5-e94fb5db2e53","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017SSMB2TgrvUXkDdwL8VCYY","type":"tool_result","content":"== rose.ca total header\nHTTP/2 200 \r\nlink: ; rel=\"https://api.w.org/\"\r\naccess-control-expose-headers: X-WP-Total, X-WP-TotalPages, Link\r\nx-wp-total: 0\r\nx-wp-totalpages: 0\r\n== saveursmitis total\nHTTP/2 200 \r\nlink: ; rel=\"https://api.w.org/\"\r\naccess-control-expose-headers: X-WP-Total, X-WP-TotalPages, Link\r\nx-wp-total: 0\r\nx-wp-totalpages: 0\r\n== rose.ca boutique page\n 1 BOUTIQUE\n 4 Boutique\n 10 Produit\n 18 boutique\n 19 produit\n 9 shop","is_error":false}]},"parent_tool_use_id":"toolu_01BJhN5jXteZmDNqJrQB4t7m","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"f40e43d1-a1d4-44e5-8978-e791d994e7cd","timestamp":"2026-08-23T05:06:51.981Z","subagent_type":"general-purpose","task_description":"Diagnostiquer fabri-ka dégradé"}} {"type":"claude","event":{"type":"system","subtype":"thinking_tokens","estimated_tokens":157,"estimated_tokens_delta":7,"uuid":"0d45bcc5-786c-4766-92f3-8e784471cfb8","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jBcSyAifNRGwexrGc","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":467,"cache_read_input_tokens":176967,"cache_creation":{"ephemeral_5m_input_tokens":467,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"ceef0d78-a655-4ffc-9660-982cb45d2114","request_id":"req_011CeK6j9GoXZpz7resktNNR"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jBcSyAifNRGwexrGc","type":"message","role":"assistant","content":[{"type":"text","text":"Le flux RSS Kruger répond avec 72 offres, mais le connecteur en garde 0 — le filtre géographique (JSON-LD des pages détail) rejette probablement tout. Test direct du connecteur."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":467,"cache_read_input_tokens":176967,"cache_creation":{"ephemeral_5m_input_tokens":467,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"67a1c177-001b-4443-8539-0e384e6c9a67","request_id":"req_011CeK6j9GoXZpz7resktNNR"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ikMQmsaJgYBHP2UYw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YJaK3Rg6jsrLrUe9GhziK5","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport re\nh = open('/tmp/courtemanche.html', errors='replace').read()\nprint(\"COURTEMANCHE len\", len(h))\nprint(\"real-estate-box:\", h.count(\"real-estate-box\"))\nprint(\"real-estate-list:\", h.count(\"real-estate-list\"))\nm = re.search(r\"[Aa]ucun logement[^<]*\", h); print(\"msg:\", m.group(0)[:140] if m else None)\nm = re.search(r\"([^<]*)\", h); print(\"title:\", m.group(1) if m else None)\nprint(\"immobilier links:\", len(set(re.findall(r'href=\"([^\"]*/immobilier/[^\"]*)\"', h))))\n\nh = open('/tmp/florimay.html', errors='replace').read()\nprint(\"\\nFLORIMAY len\", len(h))\nels = re.findall(r'<[^>]*data-numero=\"(\\d+)\"[^>]*>', h)\nprint(\"data-numero:\", len(els))\ndispo = re.findall(r'class=\"[^\"]*\\bdisponible\\b[^\"]*\"[^>]*data-numero=\"(\\d+)\"', h) + re.findall(r'data-numero=\"(\\d+)\"[^>]*class=\"[^\"]*\\bdisponible\\b[^\"]*\"', h)\n# count class attrs containing disponible vs indisponible\ntags = re.findall(r'<[^>]*data-numero[^>]*>', h)\nimport collections\nc = collections.Counter()\navail = set()\nfor t in tags:\n mnum = re.search(r'data-numero=\"([^\"]+)\"', t)\n mcls = re.search(r'class=\"([^\"]*)\"', t)\n cls = mcls.group(1) if mcls else \"\"\n if \"indisponible\" in cls or \"attente\" in cls: c[\"indisponible\"] += 1\n elif re.search(r\"\\bdisponible\\b\", cls):\n c[\"disponible\"] += 1; avail.add(mnum.group(1) if mnum else \"?\")\n else: c[\"autre\"] += 1\nprint(dict(c), \"dispo uniques:\", sorted(avail)[:10], len(avail))\nm = re.search(r\"([^<]*)\", h); print(\"title:\", m.group(1) if m else None)\n\nh = open('/tmp/atlas.html', errors='replace').read()\nprint(\"\\nATLAS len\", len(h))\nprint(\"div.resultat:\", len(re.findall(r']*class=\"[^\"]*\\bresultat\\b', h)))\nm = re.search(r\"[Aa]ucun appartement[^<]*\", h); print(\"msg:\", m.group(0)[:160] if m else None)\nm = re.search(r\"([^<]*)\", h); print(\"title:\", m.group(1) if m else None)\nprint(\"logement-a-louer links:\", len(set(re.findall(r'href=\"([^\"]*logement-a-louer[^\"]*)\"', h))))\nEOF","description":"Analyze the three fetched pages with regex"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1801,"cache_read_input_tokens":71486,"cache_creation":{"ephemeral_5m_input_tokens":1801,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e10b7d58-e6f3-4584-837f-75f700011f6a","request_id":"req_011CeK6ij1nu1QNAAmRxHzQC","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Analyze the three fetched pages with regex","subagent_type":"general-purpose","usage":{"total_tokens":73487,"tool_uses":21,"duration_ms":169884},"last_tool_name":"Bash","uuid":"fa3e1568-fcff-4e44-89d0-504d1980308f","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YJaK3Rg6jsrLrUe9GhziK5","type":"tool_result","content":"COURTEMANCHE len 41884\nreal-estate-box: 0\nreal-estate-list: 1\nmsg: None\ntitle: Archives des Tous - Gestion Immobilière Courtemanche\nimmobilier links: 0\n\nFLORIMAY len 293252\ndata-numero: 120\n{'indisponible': 120} dispo uniques: [] 0\ntitle: Place Florimay - Appartements neufs au coeur de Montmagny\n\nATLAS len 9429\ndiv.resultat: 0\nmsg: Aucun appartement n'est disponible selon vos critères de recherche.\ntitle: Logements à louer Beauce – Atlas société immobilière\nlogement-a-louer links: 0","is_error":false}]},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"d5b91869-fb36-41d9-b6d0-d3af5965dd74","timestamp":"2026-08-23T05:06:53.130Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} 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/Users/simon-pierreboucher/ka-orchestrator","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"bf5871e3-ad90-4e2a-bac9-b3034215e68e","timestamp":"2026-08-23T05:06:54.189Z","tool_use_result":{"stdout":"(eval):1: command not found: timeout","stderr":"\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ed39ccc2-85b5-4c60-a139-7665cc5a2264","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ikNeijPsVdijUeipx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XCRpgzEosmzyBgrpz1Qarz","name":"Bash","input":{"command":"ssh M4M64b 'sed -n \"200,265p\" ~/apps/food-ka/foodka/connectors/_flipp.py; echo \"--- git log _flipp ---\"; cd 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detail.get(\"percent_off\"),\n \"dollars_off\": detail.get(\"dollars_off\"),\n \"fine_print\": self._fine_print(item, detail) or None,\n }.items() if v is not None},\n images=[u.replace(\"http://\", \"https://\")\n for u in [item.get(\"cutout_image_url\")] if u],\n )\n\n def _item_detail(self, item_id) -> dict:\n \"\"\"Fiche item Flipp (/flipp/items/{id}) réduite aux champs utiles.\n\n C'est là que vivent le petit texte de la vignette (description,\n « +tx », limites/disclaimer) et le prix régulier (original_price).\n \"\"\"\n if not item_id:\n return {}\n data = self.get(ITEM_URL.format(item_id=item_id),\n headers={\"Accept\": \"application/json\"}).json()\n it = data.get(\"item\") or data or {}\n keep = (\"description\", \"price_text\", \"disclaimer_text\", \"sale_story\",\n \"original_price\", \"percent_off\", \"dollars_off\")\n return {k: it.get(k) for k in keep if it.get(k) not in (None, \"\", [])}\n\n @staticmethod\n def _fine_print(item: dict, detail: dict | None = None) -> str:\n \"\"\"Petit texte de la vignette (limites, « +tx », « Sans carte… ») :\n text_areas de l'item + champs texte de la fiche /flipp/items/{id},\n dédupliqués, en une seule chaîne lisible.\"\"\"\n bits: list[str] = []\n for ta in item.get(\"text_areas\") or []:\n if isinstance(ta, str):\n bits.append(ta)\n elif isinstance(ta, dict):\n txt = ta.get(\"text\") or ta.get(\"value\") or \"\"\n if txt:\n bits.append(str(txt))\n for src in (item, detail or {}):\n for key in (\"description\", \"price_text\", \"disclaimer_text\",\n \"sale_story\", \"pre_price_text\", \"post_price_text\"):\n val = src.get(key)\n if val:\n bits.append(str(val))\n cleaned = [clean_text(b) for b in bits]\n uniq = list(dict.fromkeys(b for b in cleaned if b))\n return \" · \".join(uniq)[:300]\n\n @staticmethod\n def _price(raw) -> float | None:\n \"\"\"« 5.99 », « 0.3 », 5.99 -> float ; vide/0 -> None (jamais inventé).\"\"\"\n try:\n--- git log _flipp ---\n2e52f7c Vague 3 : SAQ (API GraphQL directe) + 6 circulaires Flipp (4 pharmacies, Adonis, Avril) + Metro 4 pages allees prioritaires\na45aeb4 Vague 2 : circulaires grandes bannières + comparateur inter-bannières + nutrition OFF\nafdb2e6 Enrichissement connecteurs + robustesse DB (audit 2026-08-18)","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0139307b-095f-4162-972f-713622e0fa99","timestamp":"2026-08-23T05:06:55.379Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} 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connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jPN8NFny3ApLasmUc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TuAbsrQFUV1eFmg3pfA1bA","name":"Bash","input":{"command":"ssh M4M64a 'cd ~/apps/immo-ka && sed -n \"340,430p\" immoka/web.py'","description":"Read /api/stats route in web.py"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2029,"cache_read_input_tokens":57599,"cache_creation":{"ephemeral_5m_input_tokens":2029,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"cdcede80-8b5e-44ef-96f5-547c0dfd7f3b","request_id":"req_011CeK6jMTXhU56mYSH9KfrY","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Read /api/stats route in web.py","subagent_type":"general-purpose","usage":{"total_tokens":59942,"tool_uses":25,"duration_ms":158239},"last_tool_name":"Bash","uuid":"a9766057-2aad-42c7-8496-549d32328807","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TuAbsrQFUV1eFmg3pfA1bA","type":"tool_result","content":" con.close()\n tree: dict[str, dict] = {}\n for r in rows:\n fr = _franchise_of(r[\"source\"], source_names)\n node = tree.setdefault(fr, {\"franchise\": fr, \"total\": 0, \"agencies\": {}})\n node[\"total\"] += r[\"n\"]\n # nom de sous-agence : le bureau (agency) sinon le nom de la source\n label = r[\"agency\"] or source_names.get(r[\"source\"], r[\"source\"])\n a = node[\"agencies\"].setdefault(label, {\"name\": label, \"count\": 0,\n \"sources\": set()})\n a[\"count\"] += r[\"n\"]\n a[\"sources\"].add(r[\"source\"])\n out = []\n for node in tree.values():\n ags = sorted(node[\"agencies\"].values(), key=lambda x: -x[\"count\"])\n for a in ags:\n a[\"sources\"] = sorted(a[\"sources\"])\n out.append({\"franchise\": node[\"franchise\"], \"total\": node[\"total\"],\n \"sub_agencies\": len(ags), \"agencies\": ags})\n out.sort(key=lambda x: -x[\"total\"])\n return {\"franchises\": out}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n COUNT(DISTINCT source) sources,\n COUNT(DISTINCT city) cities,\n AVG(price) avg_price,\n MIN(price) min_price,\n MAX(price) max_price\n FROM listings WHERE active=1\"\"\" + DEDUP_CLAUSE).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n\n # --- écart prix demandé vs estimation Vrai-Prix, par bannière -----------\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n source_names = {s[\"id\"]: s[\"name\"] for s in registry}\n deltas: dict[str, list[float]] = {}\n for r in con.execute(\n \"SELECT source, price,\"\n \" CAST(json_extract(vraiprix, '$.value') AS REAL) vp\"\n \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue\n d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n if -80.0 <= d <= 300.0: # coupe les aberrations (terrains, données sales)\n deltas.setdefault(_franchise_of(r[\"source\"], source_names), []).append(d)\n con.close()\n\n def _agg(name: str, ds: list[float]) -> dict:\n ds = sorted(ds)\n n = len(ds)\n med = ds[n // 2] if n % 2 else (ds[n // 2 - 1] + ds[n // 2]) / 2\n return {\n \"banniere\": name, \"n\": n,\n \"median_delta_pct\": round(med, 1),\n \"p25\": round(ds[n // 4], 1), \"p75\": round(ds[(3 * n) // 4], 1),\n \"pct_sur10\": round(100 * sum(1 for d in ds if d > 10) / n, 1),\n \"pct_juste\": round(100 * sum(1 for d in ds if -5 <= d <= 10) / n, 1),\n \"pct_sous5\": round(100 * sum(1 for d in ds if d < -5) / n, 1),\n }\n\n tous = [d for ds in deltas.values() for d in ds]\n vraiprix = {\n \"ensemble\": _agg(\"Toutes bannières\", tous) if tous else None,\n \"bannieres\": sorted(\n (_agg(k, v) for k, v in deltas.items() if len(v) >= 30),\n key=lambda x: -x[\"median_delta_pct\"]),\n }\n # qualité des données : complétude, quarantaine, anomalies (par connecteur)\n from . import quality\n con2 = db.connect()\n try:\n qualite = quality.summary(con2)\n finally:\n con2.close()\n return {**dict(row), \"vraiprix\": vraiprix, \"qualite\": qualite,\n \"recent_syncs\": log}\n\n\n# --- Module Stats commun Groupe KA (voir frontend/src/ka/stats/SPEC.md) ------\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n period: str | None = Query(None),\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = Query(None),\n):","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7f6ea80e-de74-4710-aa76-1660e360c061","timestamp":"2026-08-23T05:06:57.691Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6ikNeijPsVdijUeipx","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BJeK3Gh6YSCTkvbi93Fcom","name":"Bash","input":{"command":"ssh M4M64b \"cd ~/apps/food-ka && .venv/bin/python -c \\\"\nimport time, datetime\nfrom foodka import db\ncon = db.connect()\nfor r in con.execute('SELECT source, ts, message FROM sync_log WHERE ok=0 ORDER BY ts DESC LIMIT 15'):\n print(datetime.datetime.fromtimestamp(r['ts']).isoformat(), r['source'], r['message'][:90])\nprint('--- club_entrepot found 14j ---')\nfor r in con.execute('SELECT ts, found, ok FROM sync_log WHERE source=? AND ts>=? ORDER BY ts', ('club_entrepot', time.time()-14*86400)):\n print(datetime.datetime.fromtimestamp(r['ts']).isoformat()[:16], r['found'], r['ok'])\n\\\"\"","description":"Check food-ka failure timestamps and club_entrepot volume history"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2351,"cache_read_input_tokens":38871,"cache_creation":{"ephemeral_5m_input_tokens":2351,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"01e27f42-b58e-406e-bd3c-9597b8045c69","request_id":"req_011CeK6iidUVwg4afCCb8cRT","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a9f84aba2a412fc0b","tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","description":"Running Check food-ka failure timestamps and club_entrepot volume history","subagent_type":"general-purpose","usage":{"total_tokens":41384,"tool_uses":16,"duration_ms":120597},"last_tool_name":"Bash","uuid":"e3a8518e-40f1-4795-8753-8767a1543cbc","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BJeK3Gh6YSCTkvbi93Fcom","type":"tool_result","content":"2026-08-20T00:03:26.628783 axep 404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8072013?lo\n2026-08-20T00:03:25.780072 avril_flyer 404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8069625?lo\n2026-08-20T00:02:53.401027 aures 404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8079130?lo\n2026-08-20T00:02:39.960967 aliments_mm 404 Client Error: Not Found for url: https://backflipp.wishabi.com/flipp/flyers/8078497?lo\n2026-08-18T01:37:26.887023 pa_nature FlippConnector._fine_print() takes 1 positional argument but 2 were given\n2026-08-18T01:37:25.409282 rachelle_bery FlippConnector._fine_print() takes 1 positional argument but 2 were given\n--- club_entrepot found 14j ---\n2026-08-12T16:34 801 1\n2026-08-16T22:56 0 1\n2026-08-16T23:06 804 1\n2026-08-17T05:39 791 1\n2026-08-17T12:15 703 1\n2026-08-17T18:48 757 1\n2026-08-18T01:21 443 1\n2026-08-18T01:59 584 1\n2026-08-18T02:31 528 1\n2026-08-18T02:45 731 1\n2026-08-18T06:32 719 1\n2026-08-18T13:35 705 1\n2026-08-18T20:25 634 1\n2026-08-19T03:23 808 1\n2026-08-19T10:20 664 1\n2026-08-19T17:12 674 1\n2026-08-20T00:07 549 1\n2026-08-20T06:59 603 1\n2026-08-20T13:49 548 1\n2026-08-20T20:40 660 1\n2026-08-21T03:31 678 1\n2026-08-21T10:20 650 1\n2026-08-21T17:03 673 1\n2026-08-21T23:52 758 1\n2026-08-22T06:44 684 1\n2026-08-22T13:33 356 1\n2026-08-22T14:26 643 1\n2026-08-22T21:15 605 1","is_error":false}]},"parent_tool_use_id":"toolu_01SJr1Lo5sCLNoTTgErkdEtP","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"2325c3e3-7b3c-4622-a3ed-4e675e06fcff","timestamp":"2026-08-23T05:06:58.116Z","subagent_type":"general-purpose","task_description":"Réparer auto-ka et food-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jrxJpkNCANKnbfMEb","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015EV5xdUcUeSoGY6oHcTkNL","name":"Bash","input":{"command":"cd ~/apps/job-ka && .venv/bin/python -c \"\nfrom jobka.connectors.kruger import KrugerConnector\nc = KrugerConnector()\njobs = c.fetch()\nprint('jobs:', len(jobs))\nfor j in jobs[:3]: print(j.title, '|', j.city)\n\" 2>&1 | tail -6","description":"Run kruger connector directly","timeout":240000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":456,"cache_read_input_tokens":177434,"cache_creation":{"ephemeral_5m_input_tokens":456,"ephemeral_1h_input_tokens":0},"output_tokens":16,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"89bb7da8-ef6a-4087-b0b4-3dca7fbc30ce","request_id":"req_011CeK6jowz5wY6o6WyroQdp"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015EV5xdUcUeSoGY6oHcTkNL","type":"tool_result","content":"jobs: 0\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"c01636a2-564f-4ae3-9bae-dc5200037464","timestamp":"2026-08-23T05:06:59.328Z","tool_use_result":{"stdout":"jobs: 0","stderr":"\nShell cwd was reset to /Users/simon-pierreboucher/ka-orchestrator","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"517d7680-3464-4637-94ea-23065674d3ff","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6kEU83rNSYs5KyyavJ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018W6ARv6a6uYTfRNLFs5rKH","name":"Bash","input":{"command":"sed -n \"1,120p\" ~/apps/job-ka/jobka/connectors/taleo_tbe.py","description":"Read taleo_tbe base connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":262,"cache_read_input_tokens":177890,"cache_creation":{"ephemeral_5m_input_tokens":262,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"e08241b8-51bc-41fe-97ad-0b7bc0be6163","request_id":"req_011CeK6kBqruWLasJUZ5tcqn"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018W6ARv6a6uYTfRNLFs5rKH","type":"tool_result","content":"# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/connectors/taleo_tbe.py\n# Rôle : Classe de plateforme Oracle Taleo Business Edition (TBE) — flux\n# RSS public + JSON-LD des pages requisition.jsp (détail)\n# Créé : 2026-08-19 Modifié : 2026-08-19\n# =============================================================================\n\"\"\"Plateforme Oracle Taleo Business Edition (tbe.taleo.net).\n\nÀ ne pas confondre avec Taleo Enterprise (careersection, jobka.connectors.taleo) :\nTBE est l'édition PME/parapublic (Sépaq, exo, HEC, Kruger…).\n\n- liste : GET https://.tbe.taleo.net//ats/servlet/Rss\n ?org=&cws=\n -> RSS 2.0 : title / link (requisition.jsp?…&rid=NNN) /\n description (texte résumé, sans lieu ni date)\n- détail : GET .../ats/careers/requisition.jsp?org=&cws=&rid=\n -> JSON-LD schema.org/JobPosting complet (description HTML, lieu,\n datePosted, validThrough, employmentType) — cache BD + budget.\n\nLe lieu n'apparaissant que dans le détail, le filtre Québec est appliqué\naprès lecture du JSON-LD ; tant que le détail d'une offre n'a pas été visité\n(budget épuisé), l'offre d'un connecteur `quebec_only` est différée au cycle\nsuivant plutôt que publiée sans lieu vérifié.\n\"\"\"\nfrom __future__ import annotations\n\nimport html as _html\nimport os\nimport re\n\nfrom ..schema import JobPosting, clean_html, is_quebec_location\nfrom . import _jsonld\nfrom .base import BaseConnector\n\nMAX_DETAILS = int(os.environ.get(\"JOBKA_TBE_DETAIL_LIMIT\", \"60\"))\n\n_ITEM_RE = re.compile(r\"(.*?)\", re.S | re.I)\n_TAG_RE = {t: re.compile(rf\"<{t}>(.*?)\", re.S | re.I)\n for t in (\"title\", \"link\", \"description\")}\n_RID_RE = re.compile(r\"[?&]rid=(\\d+)\", re.I)\n_QC_REGION = {\"QC\", \"QUÉBEC\", \"QUEBEC\"}\n\n\nclass TaleoTBEConnector(BaseConnector):\n \"\"\"Base Taleo Business Edition — sous-classes : définir source_id,\n EMPLOYER, HOST (ex. « tre »), INST (ex. « tre01 »), ORG, CWS.\"\"\"\n\n ats = \"taleo_tbe\"\n request_delay = 1.0\n\n EMPLOYER = \"\"\n HOST = \"\" # .tbe.taleo.net\n INST = \"\" # //ats/...\n ORG = \"\"\n CWS = \"1\"\n quebec_only = True\n FORCE_CITY = \"\" # employeurs mono-campus dont le JSON-LD détourne\n # addressLocality (ex. HEC : nom du service)\n\n @property\n def _base(self) -> str:\n return f\"https://{self.HOST}.tbe.taleo.net/{self.INST}/ats\"\n\n def _detail_url(self, rid: str) -> str:\n return (f\"{self._base}/careers/requisition.jsp\"\n f\"?org={self.ORG}&cws={self.CWS}&rid={rid}\")\n\n def _fetch_detail(self, rid: str) -> dict:\n html = self.get(self._detail_url(rid)).text\n node = _jsonld.extract_jobposting(html)\n return _jsonld.jobposting_fields(node) if node else {}\n\n def _is_qc(self, fields: dict) -> bool:\n region = (fields.get(\"region_code\") or \"\").upper()\n if region in _QC_REGION:\n return True\n place = f\"{fields.get('city') or ''} {fields.get('region_code') or ''}\"\n return bool(place.strip()) and is_quebec_location(place)\n\n def fetch(self) -> list[JobPosting]:\n xml = self.get(f\"{self._base}/servlet/Rss\",\n params={\"org\": self.ORG, \"cws\": self.CWS}).text\n out: list[JobPosting] = []\n details_used = 0\n seen: set[str] = set()\n for raw in _ITEM_RE.findall(xml):\n def g(tag: str, raw=raw) -> str:\n m = _TAG_RE[tag].search(raw)\n return _html.unescape(m.group(1).strip()) if m else \"\"\n link = g(\"link\")\n m_rid = _RID_RE.search(link)\n title = g(\"title\")\n if not m_rid or not title:\n continue\n rid = m_rid.group(1)\n if rid in seen:\n continue\n seen.add(rid)\n job = JobPosting(\n source=self.source_id, external_id=rid,\n url=self._detail_url(rid),\n employer=self.EMPLOYER, title=title,\n ats=self.ats,\n )\n fields: dict = {}\n if details_used < MAX_DETAILS:\n fresh = [False]\n\n def _fn(r=rid, fresh=fresh):\n fresh[0] = True\n return self._fetch_detail(r)\n\n fields = self.detail(rid, rid, _fn)\n if fresh[0]:\n details_used += 1\n else:\n fields = self.stale_detail(rid) or {}","is_error":false}]},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"44279e71-ebaa-46e3-86eb-b2ce3829e016","timestamp":"2026-08-23T05:07:03.043Z","tool_use_result":{"stdout":"# =============================================================================\n# Job·Ka — Groupe KA\n# Auteur : Simon-Pierre Boucher\n# Contact : contact@spboucher.ai\n# Fichier : jobka/connectors/taleo_tbe.py\n# Rôle : Classe de plateforme Oracle Taleo Business Edition (TBE) — flux\n# RSS public + JSON-LD des pages requisition.jsp (détail)\n# Créé : 2026-08-19 Modifié : 2026-08-19\n# =============================================================================\n\"\"\"Plateforme Oracle Taleo Business Edition (tbe.taleo.net).\n\nÀ ne pas confondre avec Taleo Enterprise (careersection, jobka.connectors.taleo) :\nTBE est l'édition PME/parapublic (Sépaq, exo, HEC, Kruger…).\n\n- liste : GET https://.tbe.taleo.net//ats/servlet/Rss\n ?org=&cws=\n -> RSS 2.0 : title / link (requisition.jsp?…&rid=NNN) /\n description (texte résumé, sans lieu ni date)\n- détail : GET .../ats/careers/requisition.jsp?org=&cws=&rid=\n -> JSON-LD schema.org/JobPosting complet (description HTML, lieu,\n datePosted, validThrough, employmentType) — cache BD + budget.\n\nLe lieu n'apparaissant que dans le détail, le filtre Québec est appliqué\naprès lecture du JSON-LD ; tant que le détail d'une offre n'a pas été visité\n(budget épuisé), l'offre d'un connecteur `quebec_only` est différée au cycle\nsuivant plutôt que publiée sans lieu vérifié.\n\"\"\"\nfrom __future__ import annotations\n\nimport html as _html\nimport os\nimport re\n\nfrom ..schema import JobPosting, clean_html, is_quebec_location\nfrom . import _jsonld\nfrom .base import BaseConnector\n\nMAX_DETAILS = int(os.environ.get(\"JOBKA_TBE_DETAIL_LIMIT\", \"60\"))\n\n_ITEM_RE = re.compile(r\"(.*?)\", re.S | re.I)\n_TAG_RE = {t: re.compile(rf\"<{t}>(.*?)\", re.S | re.I)\n for t in (\"title\", \"link\", \"description\")}\n_RID_RE = re.compile(r\"[?&]rid=(\\d+)\", re.I)\n_QC_REGION = {\"QC\", \"QUÉBEC\", \"QUEBEC\"}\n\n\nclass TaleoTBEConnector(BaseConnector):\n \"\"\"Base Taleo Business Edition — sous-classes : définir source_id,\n EMPLOYER, HOST (ex. « tre »), INST (ex. « tre01 »), ORG, CWS.\"\"\"\n\n ats = \"taleo_tbe\"\n request_delay = 1.0\n\n EMPLOYER = \"\"\n HOST = \"\" # .tbe.taleo.net\n INST = \"\" # //ats/...\n ORG = \"\"\n CWS = \"1\"\n quebec_only = True\n FORCE_CITY = \"\" # employeurs mono-campus dont le JSON-LD détourne\n # addressLocality (ex. HEC : nom du service)\n\n @property\n def _base(self) -> str:\n return f\"https://{self.HOST}.tbe.taleo.net/{self.INST}/ats\"\n\n def _detail_url(self, rid: str) -> str:\n return (f\"{self._base}/careers/requisition.jsp\"\n f\"?org={self.ORG}&cws={self.CWS}&rid={rid}\")\n\n def _fetch_detail(self, rid: str) -> dict:\n html = self.get(self._detail_url(rid)).text\n node = _jsonld.extract_jobposting(html)\n return _jsonld.jobposting_fields(node) if node else {}\n\n def _is_qc(self, fields: dict) -> bool:\n region = (fields.get(\"region_code\") or \"\").upper()\n if region in _QC_REGION:\n return True\n place = f\"{fields.get('city') or ''} {fields.get('region_code') or ''}\"\n return bool(place.strip()) and is_quebec_location(place)\n\n def fetch(self) -> list[JobPosting]:\n xml = self.get(f\"{self._base}/servlet/Rss\",\n params={\"org\": self.ORG, \"cws\": self.CWS}).text\n out: list[JobPosting] = []\n details_used = 0\n seen: set[str] = set()\n for raw in _ITEM_RE.findall(xml):\n def g(tag: str, raw=raw) -> str:\n m = _TAG_RE[tag].search(raw)\n return _html.unescape(m.group(1).strip()) if m else \"\"\n link = g(\"link\")\n m_rid = _RID_RE.search(link)\n title = g(\"title\")\n if not m_rid or not title:\n continue\n rid = m_rid.group(1)\n if rid in seen:\n continue\n seen.add(rid)\n job = JobPosting(\n source=self.source_id, external_id=rid,\n url=self._detail_url(rid),\n employer=self.EMPLOYER, title=title,\n ats=self.ats,\n )\n fields: dict = {}\n if details_used < MAX_DETAILS:\n fresh = [False]\n\n def _fn(r=rid, fresh=fresh):\n fresh[0] = True\n return self._fetch_detail(r)\n\n fields = self.detail(rid, rid, _fn)\n if fresh[0]:\n details_used += 1\n else:\n fields = self.stale_detail(rid) or {}","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"3def76c6-1f5d-4c4c-8c2e-8921edde17f7","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6k6474HsF6PnNAE1Ld","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":2047,"cache_read_input_tokens":59628,"cache_creation":{"ephemeral_5m_input_tokens":2047,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6cf0c5d0-e257-4f9d-ae62-9d0192ad4358","request_id":"req_011CeK6k4ueWgJdQHFfbJyHn","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6k6474HsF6PnNAE1Ld","type":"message","role":"assistant","content":[{"type":"text","text":"Now I'll implement the `syncs_since_h` parameter. Let me fetch web.py locally."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2047,"cache_read_input_tokens":59628,"cache_creation":{"ephemeral_5m_input_tokens":2047,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"7be936e5-fa28-4999-9aa7-0af91814c2cc","request_id":"req_011CeK6k4ueWgJdQHFfbJyHn","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6k6474HsF6PnNAE1Ld","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GpVcCj3MwSQETEPrTiCjsm","name":"Bash","input":{"command":"scp M4M64a:apps/immo-ka/immoka/web.py /tmp/immoka-web.py && grep -n \"^import\\|^from\" /tmp/immoka-web.py | head -20","description":"Copy web.py locally and check imports"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2047,"cache_read_input_tokens":59628,"cache_creation":{"ephemeral_5m_input_tokens":2047,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"5c0413d8-add9-4558-8166-60dc6837f951","request_id":"req_011CeK6k4ueWgJdQHFfbJyHn","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"ad65ea9cbddecef49","tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","description":"Running Copy web.py locally and check imports","subagent_type":"general-purpose","usage":{"total_tokens":62001,"tool_uses":26,"duration_ms":167607},"last_tool_name":"Bash","uuid":"455e659a-f71d-40cb-bd14-2ed78fa97015","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jmGknCcZ7uAGV9RPc","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":1338,"cache_read_input_tokens":73287,"cache_creation":{"ephemeral_5m_input_tokens":1338,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"67667141-9a01-419a-92f4-178c3164626c","request_id":"req_011CeK6jjaoVv26deuDFurJj","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jmGknCcZ7uAGV9RPc","type":"message","role":"assistant","content":[{"type":"text","text":"Florimay : 120 unités, toutes « indisponible » → connecteur sain. J'inspecte de plus près Courtemanche (liste vide sans message) et Atlas."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1338,"cache_read_input_tokens":73287,"cache_creation":{"ephemeral_5m_input_tokens":1338,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"26589d7f-6f9c-49b8-9397-80dcc9c410be","request_id":"req_011CeK6jjaoVv26deuDFurJj","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GpVcCj3MwSQETEPrTiCjsm","type":"tool_result","content":"6:from __future__ import annotations\n8:import json\n9:import threading\n10:import time\n11:from pathlib import Path\n13:from fastapi import BackgroundTasks, FastAPI, HTTPException, Query, Request\n14:from fastapi.middleware.cors import CORSMiddleware\n15:from fastapi.middleware.gzip import GZipMiddleware\n16:from fastapi.responses import FileResponse, Response\n17:from fastapi.staticfiles import StaticFiles\n19:from . import auth, db, favorites, ingest, seo\n20:from . import stats as kastats","is_error":false}]},"parent_tool_use_id":"toolu_01P1enPkUEtAsL3VXCxDNUxR","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"0ed50af7-8911-4578-937d-293b91070f28","timestamp":"2026-08-23T05:07:07.097Z","subagent_type":"general-purpose","task_description":"Réparer connecteurs immo-ka"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6kVGcMxG7kYWGQ4eHn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PGF1gjHgK5X6mMnEavpqDi","name":"Bash","input":{"command":"cd ~/apps/job-ka && .venv/bin/python -c \"\nfrom jobka.connectors.kruger import KrugerConnector\nc = KrugerConnector()\nxml = c.get(f'{c._base}/servlet/Rss', params={'org': c.ORG, 'cws': c.CWS}).text\nprint('taille RSS:', len(xml))\nimport re\nitems = re.findall(r'(.*?)', xml, re.S|re.I)\nprint('items:', len(items))\n# tester un détail\nm = re.search(r'rid=(\\d+)', xml)\nprint('premier rid:', m.group(1) if m else None)\nif m:\n d = c._fetch_detail(m.group(1))\n print('détail:', d)\n\" 2>&1 | tail -8","description":"Debug kruger RSS and detail fetch","timeout":120000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2094,"cache_read_input_tokens":178152,"cache_creation":{"ephemeral_5m_input_tokens":2094,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":null,"session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"6a4131c7-7f1d-40a6-9278-45baf9c5ba66","request_id":"req_011CeK6kTkq44XLbEdwN5gfE"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeK6jmGknCcZ7uAGV9RPc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_015nFwbt3z1kKpe8LkYDmJxj","name":"Bash","input":{"command":"python3 - <<'EOF'\nimport re\nh = open('/tmp/courtemanche.html', errors='replace').read()\ni = h.find(\"real-estate-list\")\nprint(h[max(0,i-500):i+2000])\nEOF","description":"Inspect Courtemanche real-estate-list section"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1338,"cache_read_input_tokens":73287,"cache_creation":{"ephemeral_5m_input_tokens":1338,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"diagnostics":null,"context_management":null},"parent_tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b","uuid":"df040691-d584-42e2-a68a-bf416223cc11","request_id":"req_011CeK6jjaoVv26deuDFurJj","subagent_type":"general-purpose","task_description":"Réparer connecteurs lou-ka"}} {"type":"claude","event":{"type":"system","subtype":"task_progress","task_id":"a5e51891b9533074e","tool_use_id":"toolu_01LQrqVqJokmFFEvvqp8DBzh","description":"Running Inspect Courtemanche real-estate-list section","subagent_type":"general-purpose","usage":{"total_tokens":74834,"tool_uses":22,"duration_ms":185312},"last_tool_name":"Bash","uuid":"b1fbf720-fd9e-4f29-a245-72e9ca513425","session_id":"0fcb85b0-aad1-4f48-aa23-2c43db99d71b"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015nFwbt3z1kKpe8LkYDmJxj","type":"tool_result","content":" e.preventDefault()\n e.stopPropagation()\n dropdown.toggleClass('open')\n\n $(document).one('click', function() {\n dropdown.removeClass('open')\n })\n })\n })\n

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