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Je vérifie comment elles sont chargées puis je teste l'API en live."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1126,"cache_read_input_tokens":34953,"cache_creation":{"ephemeral_5m_input_tokens":1126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"6110e9c0-d5df-4cf6-8daa-44825dd4a5bc"}}20{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaDAp23FZBDahNLb7Sh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NtBZAGUwHJ64TcjiK4udVN","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/immo-ka/frontend/src/pages/Home.tsx","offset":79,"limit":90},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1126,"cache_read_input_tokens":34953,"cache_creation":{"ephemeral_5m_input_tokens":1126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"11559346-c5d3-4c30-90d6-2ea7c277b5aa"}}21{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NtBZAGUwHJ64TcjiK4udVN","type":"tool_result","content":"79\t const [stats, setStats] = useState<Stats | null>(null);\n80\t const [error, setError] = useState<string | null>(null);\n81\t const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n82\t const [city, setCity] = useState(params.get(\"city\") ?? \"\");\n83\t const [sector, setSector] = useState(params.get(\"sector\") ?? \"\");\n84\t const [ptype, setPtype] = useState(params.get(\"property_type\") ?? \"\");\n85\t const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n86\t const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n87\t const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n88\t const [bedsMin, setBedsMin] = useState(params.get(\"bedrooms_min\") ?? \"\");\n89\t const [bathsMin, setBathsMin] = useState(params.get(\"bathrooms_min\") ?? \"\");\n90\t const [areaMin, setAreaMin] = useState(params.get(\"area_min\") ?? \"\");\n91\t const [sort, setSort] = useState(params.get(\"sort\") ?? \"recent\");\n92\t\n93\t const [sheetOpen, setSheetOpen] = useState(false);\n94\t const [advOpen, setAdvOpen] = useState(false);\n95\t\n96\t // Bottom-sheet filtres : verrou du scroll d'arrière-plan + fermeture Escape\n97\t // (mêmes règles que le menu mobile du header — voir App.tsx).\n98\t useEffect(() => {\n99\t if (!sheetOpen) return;\n100\t document.body.style.overflow = \"hidden\";\n101\t const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n102\t window.addEventListener(\"keydown\", onKey);\n103\t return () => {\n104\t document.body.style.overflow = \"\";\n105\t window.removeEventListener(\"keydown\", onKey);\n106\t };\n107\t }, [sheetOpen]);\n108\t const activeFilters = [q, city, sector, ptype, source, priceMin, priceMax, bedsMin, bathsMin, areaMin].filter(Boolean).length;\n109\t const advCount = [bedsMin, bathsMin, areaMin, source, sector].filter(Boolean).length;\n110\t\n111\t const [view, setView] = useState<\"liste\" | \"carte\">(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n112\t useEffect(() => { setView(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\"); }, [params]);\n113\t\n114\t // synchronisation liste ↔ carte (même mécanique que Lou-Ka Maps) :\n115\t // survol d'une carte → pastille en évidence ; clic sur une pastille →\n116\t // fiche surlignée et défilée dans la liste latérale.\n117\t const [hoveredUid, setHoveredUid] = useState<string | null>(null);\n118\t const [selectedUid, setSelectedUid] = useState<string | null>(null);\n119\t const onMapSelect = (uid: string | null) => {\n120\t setSelectedUid(uid);\n121\t if (uid) {\n122\t document.getElementById(`mlc-${uid}`)\n123\t ?.scrollIntoView({ behavior: \"smooth\", block: \"nearest\" });\n124\t }\n125\t };\n126\t\n127\t const filters: ListingFilters = useMemo(() => ({\n128\t q, city, sector, region: \"\", property_type: ptype, source,\n129\t price_min: priceMin, price_max: priceMax,\n130\t bedrooms_min: bedsMin, bathrooms_min: bathsMin, area_min: areaMin, sort,\n131\t }), [q, city, sector, ptype, source, priceMin, priceMax, bedsMin, bathsMin, areaMin, sort]);\n132\t\n133\t useEffect(() => {\n134\t fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {});\n135\t fetchFacets().then(setFacets).catch(() => {});\n136\t fetchStats().then(setStats).catch(() => {});\n137\t }, []);\n138\t\n139\t useEffect(() => {\n140\t fetchFacets(city || undefined).then((f) => setSectors(f.sectors)).catch(() => setSectors([]));\n141\t }, [city]);\n142\t\n143\t // revenir à la page 1 quand les filtres changent\n144\t const firstRender = useRef(true);\n145\t useEffect(() => {\n146\t if (firstRender.current) { firstRender.current = false; return; }\n147\t setPage(1);\n148\t }, [filters]);\n149\t\n150\t // synchroniser filtres + page + tri + vue dans l'URL → le retour arrière\n151\t // depuis une fiche revient à la MÊME page/filtres.\n152\t useEffect(() => {\n153\t const p = new URLSearchParams();\n154\t const set = (k: string, v: string) => { if (v) p.set(k, v); };\n155\t set(\"q\", q); set(\"city\", city); set(\"sector\", sector);\n156\t set(\"property_type\", ptype); set(\"source\", source);\n157\t set(\"price_min\", priceMin); set(\"price_max\", priceMax);\n158\t set(\"bedrooms_min\", bedsMin); set(\"bathrooms_min\", bathsMin);\n159\t set(\"area_min\", areaMin);\n160\t if (sort && sort !== \"recent\") p.set(\"sort\", sort);\n161\t if (view === \"carte\") p.set(\"view\", \"carte\");\n162\t if (page > 1) p.set(\"page\", String(page));\n163\t setParams(p, { replace: true });\n164\t }, [filters, page, view, q, city, sector, ptype, source, priceMin, priceMax,\n165\t bedsMin, bathsMin, areaMin, sort, setParams]);\n166\t\n167\t // charger la page courante (12 annonces) — remplace la grille\n168\t useEffect(() => {"}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"c928bf41-f1e3-41c8-be81-016c2402fa4d","timestamp":"2026-08-26T15:10:49.255Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/immo-ka/frontend/src/pages/Home.tsx","content":" const [stats, setStats] = useState<Stats | null>(null);\n const [error, setError] = useState<string | null>(null);\n const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n const [city, setCity] = useState(params.get(\"city\") ?? \"\");\n const [sector, setSector] = useState(params.get(\"sector\") ?? \"\");\n const [ptype, setPtype] = useState(params.get(\"property_type\") ?? \"\");\n const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n const [bedsMin, setBedsMin] = useState(params.get(\"bedrooms_min\") ?? \"\");\n const [bathsMin, setBathsMin] = useState(params.get(\"bathrooms_min\") ?? \"\");\n const [areaMin, setAreaMin] = useState(params.get(\"area_min\") ?? \"\");\n const [sort, setSort] = useState(params.get(\"sort\") ?? \"recent\");\n\n const [sheetOpen, setSheetOpen] = useState(false);\n const [advOpen, setAdvOpen] = useState(false);\n\n // Bottom-sheet filtres : verrou du scroll d'arrière-plan + fermeture Escape\n // (mêmes règles que le menu mobile du header — voir App.tsx).\n useEffect(() => {\n if (!sheetOpen) return;\n document.body.style.overflow = \"hidden\";\n const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n window.addEventListener(\"keydown\", onKey);\n return () => {\n document.body.style.overflow = \"\";\n window.removeEventListener(\"keydown\", onKey);\n };\n }, [sheetOpen]);\n const activeFilters = [q, city, sector, ptype, source, priceMin, priceMax, bedsMin, bathsMin, areaMin].filter(Boolean).length;\n const advCount = [bedsMin, bathsMin, areaMin, source, sector].filter(Boolean).length;\n\n const [view, setView] = useState<\"liste\" | \"carte\">(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n useEffect(() => { setView(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\"); }, [params]);\n\n // synchronisation liste ↔ carte (même mécanique que Lou-Ka Maps) :\n // survol d'une carte → pastille en évidence ; clic sur une pastille →\n // fiche surlignée et défilée dans la liste latérale.\n const [hoveredUid, setHoveredUid] = useState<string | null>(null);\n const [selectedUid, setSelectedUid] = useState<string | null>(null);\n const onMapSelect = (uid: string | null) => {\n setSelectedUid(uid);\n if (uid) {\n document.getElementById(`mlc-${uid}`)\n ?.scrollIntoView({ behavior: \"smooth\", block: \"nearest\" });\n }\n };\n\n const filters: ListingFilters = useMemo(() => ({\n q, city, sector, region: \"\", property_type: ptype, source,\n price_min: priceMin, price_max: priceMax,\n bedrooms_min: bedsMin, bathrooms_min: bathsMin, area_min: areaMin, sort,\n }), [q, city, sector, ptype, source, priceMin, priceMax, bedsMin, bathsMin, areaMin, sort]);\n\n useEffect(() => {\n fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {});\n fetchFacets().then(setFacets).catch(() => {});\n fetchStats().then(setStats).catch(() => {});\n }, []);\n\n useEffect(() => {\n fetchFacets(city || undefined).then((f) => setSectors(f.sectors)).catch(() => setSectors([]));\n }, [city]);\n\n // revenir à la page 1 quand les filtres changent\n const firstRender = useRef(true);\n useEffect(() => {\n if (firstRender.current) { firstRender.current = false; return; }\n setPage(1);\n }, [filters]);\n\n // synchroniser filtres + page + tri + vue dans l'URL → le retour arrière\n // depuis une fiche revient à la MÊME page/filtres.\n useEffect(() => {\n const p = new URLSearchParams();\n const set = (k: string, v: string) => { if (v) p.set(k, v); };\n set(\"q\", q); set(\"city\", city); set(\"sector\", sector);\n set(\"property_type\", ptype); set(\"source\", source);\n set(\"price_min\", priceMin); set(\"price_max\", priceMax);\n set(\"bedrooms_min\", bedsMin); set(\"bathrooms_min\", bathsMin);\n set(\"area_min\", areaMin);\n if (sort && sort !== \"recent\") p.set(\"sort\", sort);\n if (view === \"carte\") p.set(\"view\", \"carte\");\n if (page > 1) p.set(\"page\", String(page));\n setParams(p, { replace: true });\n }, [filters, page, view, q, city, sector, ptype, source, priceMin, priceMax,\n bedsMin, bathsMin, areaMin, sort, setParams]);\n\n // charger la page courante (12 annonces) — remplace la grille\n useEffect(() => {","numLines":90,"startLine":79,"totalLines":529}}}}22{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaDAp23FZBDahNLb7Sh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HdgNCGZTD8gpc6YSBjdaUu","name":"Bash","input":{"command":"pm2 ls | grep -i immo; curl -s http://localhost:8096/api/stats | head -c 800; echo; curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:8096/","description":"Check pm2 status and test stats API"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1126,"cache_read_input_tokens":34953,"cache_creation":{"ephemeral_5m_input_tokens":1126,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"d3795189-0fd8-4707-b9af-f74fb98c4c8a"}}23{"type":"permission_request","requestId":"0f0cc3700020dfc7","tool":"Bash","input":{"command":"pm2 ls | grep -i immo; curl -s http://localhost:8096/api/stats | head -c 800; echo; curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:8096/","description":"Check pm2 status and test stats API"}}24{"type":"notice","text":"🔓 Tout autoriser activé — la tâche ira au bout sans autre demande de permission."}25{"type":"permission_resolved","requestId":"0f0cc3700020dfc7","allow":true,"always":false}26{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HdgNCGZTD8gpc6YSBjdaUu","type":"tool_result","content":"│ 4 │ immo-ka-ngrok │ default │ N/A │ fork │ 79925 │ 9D │ 1 │ online │ 0% │ 307.3mb │ simon-p… │ disabled │\n│ 11 │ immo-ka-sync │ default │ N/A │ fork │ 28868 │ 24h │ 20 │ online │ 0% │ 661.4mb │ simon-p… │ disabled │\n│ 9 │ immo-ka-web │ default │ N/A │ fork │ 54378 │ 19h │ 79 │ online │ 0% │ 774.2mb │ simon-p… │ disabled │\nInternal Server Error\n200","is_error":false}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"a70da3fc-4f18-41e3-9e16-556d9a7c7a5b","timestamp":"2026-08-26T15:11:25.453Z","tool_use_result":{"stdout":"│ 4 │ immo-ka-ngrok │ default │ N/A │ fork │ 79925 │ 9D │ 1 │ online │ 0% │ 307.3mb │ simon-p… │ disabled │\n│ 11 │ immo-ka-sync │ default │ N/A │ fork │ 28868 │ 24h │ 20 │ online │ 0% │ 661.4mb │ simon-p… │ disabled │\n│ 9 │ immo-ka-web │ default │ N/A │ fork │ 54378 │ 19h │ 79 │ online │ 0% │ 774.2mb │ simon-p… │ disabled │\nInternal Server Error\n200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}27{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fae0302b-7f3c-4908-a703-eea9ff8f9e3c","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}28{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGHTTc88vnyYN4aX17","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAIS6AIKpwEIERgCKkAMdUrc3Ayl1LY6wB8sFmImUFgKKVRQU7oCPhK5BXpUGo9fp294j+/L4bWORYwR0T3l/sBhBkvM3sFqgTUYTYJjMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCpF7oiUB8N4as4sc/CyGIoiAEBqAGihLzUBrABAhIMx75gxx0/7lrUeXuyGgz64im3xFqDX4eMM0QiMMq5RX2POupmBlMYjjwL7h4v2lZnqRh6qPnOxw7kxMS76jV9sg4jO+7J/aeZyAktvSpuAp1o3vgB+xmfsUDq448S+/R31C7BfIMjWfQh/ah0no/GyZ2AalxZfTYZFhnQr9xMNBNFUtw9sFLuKquGZXZGKzJAUh1OyTZT3tbYAlVSSvv6MkAakjDV6UB4xsO8rj5p9at/wreSN4FZ1R6xC9wYAQ=="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2759,"cache_read_input_tokens":36079,"cache_creation":{"ephemeral_5m_input_tokens":2759,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"4a5b4777-6805-4a78-8099-93e6d4f9e64a"}}29{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGHTTc88vnyYN4aX17","type":"message","role":"assistant","content":[{"type":"text","text":"Trouvé : `/api/stats` renvoie une erreur 500 côté backend. Je regarde les logs et le code de l'endpoint."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2759,"cache_read_input_tokens":36079,"cache_creation":{"ephemeral_5m_input_tokens":2759,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"208d5538-63ee-472b-a626-528086242db1"}}30{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGHTTc88vnyYN4aX17","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UJqwWaWN3tjwEcXDkW6sCL","name":"Bash","input":{"command":"pm2 logs immo-ka-web --lines 40 --nostream 2>/dev/null | tail -50","description":"Read immo-ka-web logs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2759,"cache_read_input_tokens":36079,"cache_creation":{"ephemeral_5m_input_tokens":2759,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"acf37749-7b0e-45d7-aa66-acfea23f0f71"}}31{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"pm2 logs immo-ka-web --lines 40 --nostream 2>/dev/null | tail -50","description":"Read immo-ka-web logs"}}32{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UJqwWaWN3tjwEcXDkW6sCL","type":"tool_result","content":"9|immo-ka- | ^^^^^^^^^^^^\n9|immo-ka- | File \"/Users/simon-pierreboucher/apps/immo-ka/.venv/lib/python3.14/site-packages/anyio/_backends/_asyncio.py\", line 1033, in run\n9|immo-ka- | result = context.run(func, *args)\n9|immo-ka- | File \"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py\", line 482, in stats\n9|immo-ka- | d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n9|immo-ka- | ~~~~~~~~~~~^~~~~~~~~\n9|immo-ka- | TypeError: unsupported operand type(s) for -: 'NoneType' and 'float'\n\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-web-out.log last 40 lines:\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 85.208.96.200:0 - \"GET /propriete/publimaison_ag_qc%3A26057211/12590-rue-sherbrooke-e-app-210-pointe-aux-trembles HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 51.89.59.45:0 - \"GET /propriete/cio_ag_outaouais%3A26621319/388-ch-du-lac-mcconnell-rapides-des-joachims HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 185.191.171.7:0 - \"GET /propriete/royal_lepage%3A10567941 HTTP/1.1\" 410 Gone\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 185.191.171.14:0 - \"GET /a-vendre/deschaillons-sur-saint-laurent/maison HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 51.89.71.91:0 - \"GET /propriete/sutton%3A11748539/5175-rue-sherbrooke-o-app-2-montreal-cote-des-neiges-notre-dame-de-grace HTTP/1.1\" 301 Moved Permanently\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 185.191.171.6:0 - \"GET /propriete/remax_quebec%3A27865990/112-place-des-sorbiers-gatineau HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 127.0.0.1:58119 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 127.0.0.1:58121 - \"GET / HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 51.89.83.60:0 - \"GET /propriete/remax_quebec%3A17348151/2760-av-barry-brossard HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 185.191.171.1:0 - \"GET /propriete/remax_quebec%3A17639601/54-ch-de-la-martine-petite-riviere-saint-francois HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK","is_error":false}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"5738073d-830a-4a14-a6e6-a0660a59bdf1","timestamp":"2026-08-26T15:11:32.270Z","tool_use_result":{"stdout":"9|immo-ka- | ^^^^^^^^^^^^\n9|immo-ka- | File \"/Users/simon-pierreboucher/apps/immo-ka/.venv/lib/python3.14/site-packages/anyio/_backends/_asyncio.py\", line 1033, in run\n9|immo-ka- | result = context.run(func, *args)\n9|immo-ka- | File \"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py\", line 482, in stats\n9|immo-ka- | d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n9|immo-ka- | ~~~~~~~~~~~^~~~~~~~~\n9|immo-ka- | TypeError: unsupported operand type(s) for -: 'NoneType' and 'float'\n\n/Users/simon-pierreboucher/.pm2/logs/immo-ka-web-out.log last 40 lines:\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 85.208.96.200:0 - \"GET /propriete/publimaison_ag_qc%3A26057211/12590-rue-sherbrooke-e-app-210-pointe-aux-trembles HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 51.89.59.45:0 - \"GET /propriete/cio_ag_outaouais%3A26621319/388-ch-du-lac-mcconnell-rapides-des-joachims HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 185.191.171.7:0 - \"GET /propriete/royal_lepage%3A10567941 HTTP/1.1\" 410 Gone\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 185.191.171.14:0 - \"GET /a-vendre/deschaillons-sur-saint-laurent/maison HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 51.89.71.91:0 - \"GET /propriete/sutton%3A11748539/5175-rue-sherbrooke-o-app-2-montreal-cote-des-neiges-notre-dame-de-grace HTTP/1.1\" 301 Moved Permanently\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 185.191.171.6:0 - \"GET /propriete/remax_quebec%3A27865990/112-place-des-sorbiers-gatineau HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 127.0.0.1:58119 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 127.0.0.1:58121 - \"GET / HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 51.89.83.60:0 - \"GET /propriete/remax_quebec%3A17348151/2760-av-barry-brossard HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 185.191.171.1:0 - \"GET /propriete/remax_quebec%3A17639601/54-ch-de-la-martine-petite-riviere-saint-francois HTTP/1.1\" 200 OK\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET /api/stats HTTP/1.1\" 500 Internal Server Error\n9|immo-ka- | INFO: 76.70.60.50:0 - \"GET / HTTP/1.1\" 200 OK","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}33{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGHTTc88vnyYN4aX17","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PMidU1D4ePvDwE6Dut44Bx","name":"Grep","input":{"pattern":"api/stats|def stats|\"/stats\"","path":"/Users/simon-pierreboucher/apps/immo-ka","glob":"**/*.py","output_mode":"content","-n":true,"head_limit":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2759,"cache_read_input_tokens":36079,"cache_creation":{"ephemeral_5m_input_tokens":2759,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"65a4c971-ce99-45d0-9b7f-3bc32a082991"}}34{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PMidU1D4ePvDwE6Dut44Bx","type":"tool_result","content":"scripts/valider_rendu.py:56: (\"stats\", \"/stats\"),\nimmoka/stats.py:4:# stats.py : tableau de bord analytique /api/stats/dashboard + rapport PDF\nimmoka/stats.py:5:# /api/stats/report (module Stats commun Groupe KA v2 — voir\nimmoka/seo.py:329: '<p><a href=\"/stats\">Statistiques du marché</a> · '\nimmoka/seo.py:605: \"/stats\": (\"Statistiques du marché immobilier québécois\",\nimmoka/seo.py:839: for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",\nimmoka/quality.py:229: \"\"\"Statistiques qualité pour /api/stats : complétude, quarantaine, anomalies.\"\"\"\nimmoka/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\nimmoka/web.py:445:@app.get(\"/api/stats\")\nimmoka/web.py:446:def stats(syncs_since_h: float | None = None):\nimmoka/web.py:519:@app.get(\"/api/stats/dashboard\")\nimmoka/web.py:520:def stats_dashboard(\nimmoka/web.py:529:@app.get(\"/api/stats/report\")\nimmoka/web.py:530:def stats_report(\nimmoka/web.py:555:@app.get(\"/api/stats/catalog\")\n\n[Showing results with pagination = limit: 15]"}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"3c2a4df2-ab53-4a87-a938-d65058a39fe6","timestamp":"2026-08-26T15:11:33.343Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"scripts/valider_rendu.py:56: (\"stats\", \"/stats\"),\nimmoka/stats.py:4:# stats.py : tableau de bord analytique /api/stats/dashboard + rapport PDF\nimmoka/stats.py:5:# /api/stats/report (module Stats commun Groupe KA v2 — voir\nimmoka/seo.py:329: '<p><a href=\"/stats\">Statistiques du marché</a> · '\nimmoka/seo.py:605: \"/stats\": (\"Statistiques du marché immobilier québécois\",\nimmoka/seo.py:839: for p in [\"/\", \"/stats\", \"/agences\", \"/taux-hypothecaires\", \"/demenageurs\",\nimmoka/quality.py:229: \"\"\"Statistiques qualité pour /api/stats : complétude, quarantaine, anomalies.\"\"\"\nimmoka/kapdf.py:3:# Consomme le JSON du contrat /api/stats/dashboard (voir SPEC.md) et produit\nimmoka/web.py:445:@app.get(\"/api/stats\")\nimmoka/web.py:446:def stats(syncs_since_h: float | None = None):\nimmoka/web.py:519:@app.get(\"/api/stats/dashboard\")\nimmoka/web.py:520:def stats_dashboard(\nimmoka/web.py:529:@app.get(\"/api/stats/report\")\nimmoka/web.py:530:def stats_report(\nimmoka/web.py:555:@app.get(\"/api/stats/catalog\")","numLines":15,"appliedLimit":15}}}35{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"87a77d21-cacc-45ef-b5bd-f1c536750d1e","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}36{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGrza7rFv6ZMVyjYpn","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":3768,"cache_read_input_tokens":38838,"cache_creation":{"ephemeral_5m_input_tokens":3768,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"949e0876-b423-47fc-9aba-a4528b8b9bd8"}}37{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGrza7rFv6ZMVyjYpn","type":"message","role":"assistant","content":[{"type":"text","text":"La cause : `/api/stats` plante à `immoka/web.py:482` — une annonce a un `price` NULL et le calcul d'écart Vrai-Prix explose. Je lis la fonction."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3768,"cache_read_input_tokens":38838,"cache_creation":{"ephemeral_5m_input_tokens":3768,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"7c77c3a1-53fd-47fa-bd1c-98416a218094"}}38{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaGrza7rFv6ZMVyjYpn","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RyfD4wXquEpRSsbyKdroVW","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py","offset":445,"limit":75},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3768,"cache_read_input_tokens":38838,"cache_creation":{"ephemeral_5m_input_tokens":3768,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"461454df-5ded-49e2-ad11-4bbbf82cebba"}}39{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RyfD4wXquEpRSsbyKdroVW","type":"tool_result","content":"445\t@app.get(\"/api/stats\")\n446\tdef stats(syncs_since_h: float | None = None):\n447\t con = db.connect()\n448\t row = con.execute(\n449\t \"\"\"SELECT COUNT(*) total,\n450\t COUNT(DISTINCT source) sources,\n451\t COUNT(DISTINCT city) cities,\n452\t AVG(price) avg_price,\n453\t MIN(price) min_price,\n454\t MAX(price) max_price\n455\t FROM listings WHERE active=1\"\"\" + DEDUP_CLAUSE).fetchone()\n456\t # Fenêtre de synchronisations pour la supervision (moniteur central api-ka) :\n457\t # sans paramètre, comportement historique (20 dernières entrées) ; avec\n458\t # ?syncs_since_h=<heures>, toutes les entrées de la fenêtre (borne 4000) —\n459\t # évite les fausses alertes « stale » quand 100+ sources synchronisent\n460\t # plus de 20 fois entre deux sondages.\n461\t log: list[dict] = []\n462\t if syncs_since_h is not None:\n463\t cutoff = time.time() - syncs_since_h * 3600\n464\t log = [dict(r) for r in con.execute(\n465\t \"SELECT * FROM sync_log WHERE ts >= ?\"\n466\t \" ORDER BY ts DESC LIMIT 4000\", (cutoff,))]\n467\t if len(log) < 20:\n468\t log = [dict(r) for r in con.execute(\n469\t \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n470\t\n471\t # --- écart prix demandé vs estimation Vrai-Prix, par bannière -----------\n472\t registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n473\t source_names = {s[\"id\"]: s[\"name\"] for s in registry}\n474\t deltas: dict[str, list[float]] = {}\n475\t for r in con.execute(\n476\t \"SELECT source, price,\"\n477\t \" CAST(json_extract(vraiprix, '$.value') AS REAL) vp\"\n478\t \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n479\t \" AND vraiprix LIKE '%estimation%'\"):\n480\t if not r[\"vp\"] or r[\"vp\"] <= 0:\n481\t continue\n482\t d = (r[\"price\"] - r[\"vp\"]) / r[\"vp\"] * 100.0\n483\t if -80.0 <= d <= 300.0: # coupe les aberrations (terrains, données sales)\n484\t deltas.setdefault(_franchise_of(r[\"source\"], source_names), []).append(d)\n485\t con.close()\n486\t\n487\t def _agg(name: str, ds: list[float]) -> dict:\n488\t ds = sorted(ds)\n489\t n = len(ds)\n490\t med = ds[n // 2] if n % 2 else (ds[n // 2 - 1] + ds[n // 2]) / 2\n491\t return {\n492\t \"banniere\": name, \"n\": n,\n493\t \"median_delta_pct\": round(med, 1),\n494\t \"p25\": round(ds[n // 4], 1), \"p75\": round(ds[(3 * n) // 4], 1),\n495\t \"pct_sur10\": round(100 * sum(1 for d in ds if d > 10) / n, 1),\n496\t \"pct_juste\": round(100 * sum(1 for d in ds if -5 <= d <= 10) / n, 1),\n497\t \"pct_sous5\": round(100 * sum(1 for d in ds if d < -5) / n, 1),\n498\t }\n499\t\n500\t tous = [d for ds in deltas.values() for d in ds]\n501\t vraiprix = {\n502\t \"ensemble\": _agg(\"Toutes bannières\", tous) if tous else None,\n503\t \"bannieres\": sorted(\n504\t (_agg(k, v) for k, v in deltas.items() if len(v) >= 30),\n505\t key=lambda x: -x[\"median_delta_pct\"]),\n506\t }\n507\t # qualité des données : complétude, quarantaine, anomalies (par connecteur)\n508\t from . import quality\n509\t con2 = db.connect()\n510\t try:\n511\t qualite = quality.summary(con2)\n512\t finally:\n513\t con2.close()\n514\t return {**dict(row), \"vraiprix\": vraiprix, \"qualite\": qualite,\n515\t \"recent_syncs\": log}\n516\t\n517\t\n518\t# --- Module Stats commun Groupe KA (voir frontend/src/ka/stats/SPEC.md) ------\n519\t@app.get(\"/api/stats/dashboard\")"}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"64b3af12-928c-4b46-8195-d9a151b3ddc5","timestamp":"2026-08-26T15:11:38.886Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py","content":"@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 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 # Fenêtre de synchronisations pour la supervision (moniteur central api-ka) :\n # sans paramètre, comportement historique (20 dernières entrées) ; avec\n # ?syncs_since_h=<heures>, toutes les entrées de la fenêtre (borne 4000) —\n # évite les fausses alertes « stale » quand 100+ sources synchronisent\n # plus de 20 fois entre deux sondages.\n log: list[dict] = []\n if syncs_since_h is not None:\n cutoff = time.time() - syncs_since_h * 3600\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log WHERE ts >= ?\"\n \" ORDER BY ts DESC LIMIT 4000\", (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\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\")","numLines":75,"startLine":445,"totalLines":659}}}}40{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8baf73d1-bf34-4461-a905-0366d883eff1","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}41{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaHHCrRq75KpxHpJuN6","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":1880,"cache_read_input_tokens":42606,"cache_creation":{"ephemeral_5m_input_tokens":1880,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"065a4a0c-ad4a-4eac-b190-12e962fdc2e6"}}42{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaHHCrRq75KpxHpJuN6","type":"message","role":"assistant","content":[{"type":"text","text":"Le correctif : ignorer les annonces sans prix dans le calcul des écarts Vrai-Prix."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1880,"cache_read_input_tokens":42606,"cache_creation":{"ephemeral_5m_input_tokens":1880,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"bddef98f-fc68-4b29-99e2-6b989645ac46"}}43{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaHHCrRq75KpxHpJuN6","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01JEhbf2mei5ek1mPU9y6pQq","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py","old_string":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue","new_string":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND price IS NOT NULL AND price > 0\"\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1880,"cache_read_input_tokens":42606,"cache_creation":{"ephemeral_5m_input_tokens":1880,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"25b81c14-d74d-4815-8e83-953e627e4043"}}44{"type":"permission_auto","tool":"Edit","key":"tout autoriser","input":{"file_path":"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py","old_string":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue","new_string":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND price IS NOT NULL AND price > 0\"\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue","replace_all":false}}45{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01JEhbf2mei5ek1mPU9y6pQq","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/immo-ka/immoka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"587424b8-f705-4e6d-9f6e-b906994604aa","timestamp":"2026-08-26T15:11:46.396Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/immo-ka/immoka/web.py","oldString":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue","newString":" \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" AND price IS NOT NULL AND price > 0\"\n \" AND vraiprix LIKE '%estimation%'\"):\n if not r[\"vp\"] or r[\"vp\"] <= 0:\n continue","originalFile":"# -----------------------------------------------------------------------------\n# Immo-Ka — Agrégateur de maisons à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend statique (frontend/)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nimport time\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, Body, FastAPI, HTTPException, Query, Request\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse, RedirectResponse, Response\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, favorites, ingest, seo\nfrom . import stats as kastats\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\n# Frontend : build Vite (React) si présent, sinon la page statique de secours.\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\nFRONTEND_DIR = FRONTEND_DIST if FRONTEND_DIST.exists() else ROOT / \"frontend\"\n\napp = FastAPI(title=\"Immo-Ka API\", version=\"0.1\",\n description=\"Agrégateur de maisons à vendre — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\n# le GeoJSON complet pèse ~20 Mo — la compression est vitale pour la carte\napp.add_middleware(GZipMiddleware, minimum_size=1024)\n# connexion Google (compte Groupe-Ka partagé avec Lou-Ka) — voir immoka/auth.py\napp.include_router(auth.router)\n# favoris ♥ — magasin central au hub Groupe KA, voir immoka/favorites.py\napp.include_router(favorites.router)\n# annuaire des déménageurs du Québec — page partagée avec Lou-Ka\nfrom . import demenageurs # noqa: E402\napp.include_router(demenageurs.router)\n# annuaire des inspecteurs en bâtiment du Québec\nfrom . import inspecteurs # noqa: E402\napp.include_router(inspecteurs.router)\n# annuaire des bannières & courtiers (registre OACIQ)\nfrom . import bannieres # noqa: E402\napp.include_router(bannieres.router)\n# moteur hypothécaire — taux réels multibanques + calculateur canadien,\n# voir immoka/mortgage/ (docs/mortgage-engine.md)\nfrom .mortgage import api as mortgage_api # noqa: E402\napp.include_router(mortgage_api.router)\n\n_sync_lock = threading.Lock()\n\n# Déduplication de la famille RE/MAX : le flux central (remax_quebec) et les\n# ~42 connecteurs de sous-agences (remax_ag_*) décrivent les MÊMES inscriptions,\n# identifiées de façon unique par leur numéro Centris (= external_id). On masque\n# donc toute fiche de sous-agence dès qu'une fiche de plus haute priorité existe\n# (le central enrichi d'abord, puis la sous-agence au plus petit uid). Les fiches\n# du central et des autres agences ne sont jamais masquées. → aucun double-comptage,\n# et les sous-agences prennent le relais automatiquement si le central disparaît.\n# Déduplication PRÉ-CALCULÉE : la colonne `dup_hidden` (remplie par\n# db.refresh_dedup après chaque sync) marque les doublons de sous-agences. La\n# lecture est ainsi instantanée (index) au lieu d'un sous-select corrélé par\n# ligne (~300 s sur 75 k lignes). Voir db.refresh_dedup pour la règle.\n# + `published=1` : seuil de qualité minimum (voir immoka/quality.py) — une\n# annonce sans prix plausible, sans ville, sans type de bien ou sans contenu\n# exploitable part en QUARANTAINE (grille, carte, stats, sources) jusqu'à\n# complétion par les prochains cycles. La fiche détail par uid reste accessible.\nDEDUP_CLAUSE = \" AND dup_hidden=0 AND published=1\"\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"features\"] = json.loads(d.get(\"features\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n if d.get(\"vraiprix\"):\n try:\n d[\"vraiprix\"] = json.loads(d[\"vraiprix\"]) or None\n except (ValueError, TypeError):\n d[\"vraiprix\"] = None\n # jours sur le marché (depuis la 1re observation par Immo-Ka ; la date\n # d'inscription de la source, si connue, est dans details.listed_at)\n if d.get(\"first_seen\"):\n d[\"days_on_market\"] = max(0, int((time.time() - d[\"first_seen\"]) // 86400))\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n region: str | None = None,\n property_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n bedrooms_min: int | None = None,\n bathrooms_min: int | None = None,\n area_min: float | None = None, # superficie habitable minimale (pi²)\n q: str | None = None,\n active: int = 1,\n sort: str = \"price_asc\", # price_asc | price_desc | recent\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM listings WHERE 1=1\"\n args: list = []\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 sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if region:\n sql += \" AND region=?\"; args.append(region)\n if property_type:\n sql += \" AND property_type=?\"; args.append(property_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"; args.append(bedrooms_min)\n if bathrooms_min is not None:\n sql += \" AND bathrooms IS NOT NULL AND bathrooms>=?\"; args.append(bathrooms_min)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR city LIKE ? OR mls LIKE ?)\"\n args += [f\"%{q}%\"] * 4\n sql += DEDUP_CLAUSE\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n order = {\n \"price_asc\": \" ORDER BY price IS NULL, price ASC\",\n \"price_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC\",\n }.get(sort, \" ORDER BY price IS NULL, price ASC\")\n sql += order + \" LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n\n\n@app.get(\"/api/hydro\")\ndef hydro_at(adresse: str, solve: int = 0, uid: str | None = None,\n lat: float | None = None, lng: float | None = None):\n \"\"\"Estimation du coût d'électricité à une adresse (Hydro-Québec).\n Par défaut cache seulement (aucun captcha) ; solve=1 force le calcul.\n uid/lat/lng permettent la lecture cache par annonce et la dérivation du\n code postal (adresses sans CP).\"\"\"\n from . import hydro\n return hydro.estimate(adresse=adresse, uid=uid, lat=lat, lng=lng,\n solve=bool(solve))\n\n\n@app.get(\"/api/commerces\")\ndef commerces_at(lat: float, lng: float):\n \"\"\"Grands commerces + métro/bus les plus proches (Mapbox / OSM).\"\"\"\n from . import commerces\n return commerces.nearby(lat, lng)\n\n\n@app.get(\"/api/air\")\ndef air_at(lat: float, lng: float):\n \"\"\"Qualité de l'air : station RSQAQ la plus proche (MELCCFP).\"\"\"\n from . import air\n d = air.lookup(lat, lng)\n if d is None:\n raise HTTPException(404, \"Base qualité de l'air non disponible\")\n return d\n\n\n@app.get(\"/api/gaz\")\ndef gaz_at(lat: float, lng: float):\n \"\"\"Stations-service à proximité et prix courants (gazquebec.ca).\"\"\"\n from . import gaz\n return gaz.nearby(lat, lng)\n\n\n@app.get(\"/api/inondation\")\ndef inondation_at(lat: float, lng: float):\n \"\"\"Risque d'inondation à l'adresse (BDZI, gouv. du Québec) —\n bloc « Risque d'inondation » de la fiche.\"\"\"\n from . import inondation\n d = inondation.lookup(lat, lng)\n if d is None:\n raise HTTPException(404, \"Base des zones inondables non disponible\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM listings WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # historique de prix (baisses/hausses du prix demandé)\n d[\"price_history\"] = [dict(r) for r in con.execute(\n \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 10\",\n (uid,)).fetchall()]\n # commodités de proximité (cache par immeuble, voir immoka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # autres publications de la même propriété (doublons masqués par la\n # dédup, rattachés via dup_of) — pour la box « Aussi publiée sur… »\n d[\"duplicates\"] = [dict(r) for r in con.execute(\n \"SELECT uid, source, url, broker_name, agency, price_label\"\n \" FROM listings WHERE dup_of=? AND active=1 ORDER BY source\",\n (uid,)).fetchall()]\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n con.close()\n if d is None:\n raise HTTPException(404, \"Propriété introuvable\")\n return d\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche PDF complète de la propriété (immoka/pdffiche.py) — reflète tous\n les blocs de la fiche web : prix + verdict Vrai-Prix, photos, description,\n caractéristiques, pièces, analyses, environnement, quartier, QR.\"\"\"\n from . import pdffiche\n data = pdffiche.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Propriété introuvable\")\n safe = uid.replace(\":\", \"-\").replace(\"/\", \"-\")\n return Response(\n content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"immo-ka_fiche_{safe}.pdf\"'})\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n region: str | None = None,\n property_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n bedrooms_min: int | None = None,\n bathrooms_min: int | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Propriétés géolocalisées (marqueurs de carte, champs allégés).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse ; la collection\n porte `totalGeocoded` (géolocalisées correspondantes) et\n `totalMatching` (avec ou sans coordonnées). Mêmes filtres que\n /api/listings pour que la carte suive exactement la recherche.\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, property_type,\"\n \" bedrooms, bathrooms, source, city, sector, images, lat, lng, vraiprix,\"\n \" json_extract(COALESCE(details,'{}'),'$.cover_thumb') AS cover_thumb\"\n \" FROM listings WHERE active=1 AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if region:\n sql += \" AND region=?\"; args.append(region)\n if property_type:\n sql += \" AND property_type=?\"; args.append(property_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if bedrooms_min is not None:\n sql += \" AND bedrooms IS NOT NULL AND bedrooms>=?\"; args.append(bedrooms_min)\n if bathrooms_min is not None:\n sql += \" AND bathrooms IS NOT NULL AND bathrooms>=?\"; args.append(bathrooms_min)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR city LIKE ? OR mls LIKE ?)\"\n args += [f\"%{q}%\"] * 4\n sql += DEDUP_CLAUSE\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 price IS NULL, price ASC LIMIT ?\"\n args.append(limit)\n features = []\n for r in con.execute(sql, args).fetchall():\n images = json.loads(r[\"images\"] or \"[]\")\n try:\n vp_val = (json.loads(r[\"vraiprix\"]) or {}).get(\"value\")\n except (TypeError, ValueError):\n vp_val = None\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"],\n \"title\": None if r[\"address\"] else r[\"title\"],\n \"address\": r[\"address\"],\n \"price\": r[\"price\"], \"price_label\": r[\"price_label\"],\n \"property_type\": r[\"property_type\"], \"bedrooms\": r[\"bedrooms\"],\n \"bathrooms\": r[\"bathrooms\"], \"source\": r[\"source\"],\n \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n # miniature légère pour le popup mobile si le connecteur en a une\n \"image\": r[\"cover_thumb\"] or (images[0] if images else None),\n \"vp\": vp_val,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\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 sector_sql = \"SELECT DISTINCT sector FROM listings WHERE active=1 AND sector<>''\"\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"property_types\": [r[\"property_type\"] for r in con.execute(\n \"SELECT property_type FROM listings WHERE active=1\"\n \" AND property_type<>''\" + DEDUP_CLAUSE +\n \" GROUP BY property_type ORDER BY COUNT(*) DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1\"\n + DEDUP_CLAUSE + \" GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 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# Rattachement d'une source à sa bannière (franchise) pour le regroupement.\n_FRANCHISES = [\n (\"RE/MAX\", lambda s: s == \"remax_quebec\" or s.startswith(\"remax_ag_\")),\n (\"Via Capitale\", lambda s: s == \"via_capitale\" or s.startswith(\"via_ag_\")),\n (\"Century 21\", lambda s: s == \"century21\" or s.startswith(\"c21_ag_\")),\n (\"Royal LePage\", lambda s: s == \"royal_lepage\"),\n (\"Groupe Sutton\", lambda s: s == \"sutton\"),\n (\"Keller Williams\", lambda s: s.startswith(\"kw_\")),\n (\"DuProprio\", lambda s: s == \"duproprio\"),\n]\n\n\ndef _franchise_of(source: str, source_names: dict) -> str:\n for name, match in _FRANCHISES:\n if match(source):\n return name\n return source_names.get(source, source) # agence indépendante = elle-même\n\n\n@app.get(\"/api/agencies\")\ndef agencies():\n \"\"\"Arbre bannière → sous-agences (bureaux) avec le nombre d'inscriptions.\n\n Alimente la page « Sources » de l'app : chaque bannière est éclatée par\n sous-agence via le champ `agency` (bureau). Dédupliqué (n° Centris).\"\"\"\n con = db.connect()\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n source_names = {s[\"id\"]: s[\"name\"] for s in registry}\n rows = con.execute(\n \"SELECT source, COALESCE(NULLIF(agency,''), '') agency, COUNT(*) n\"\n \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +\n \" GROUP BY source, agency\").fetchall()\n 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(syncs_since_h: float | None = None):\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 # Fenêtre de synchronisations pour la supervision (moniteur central api-ka) :\n # sans paramètre, comportement historique (20 dernières entrées) ; avec\n # ?syncs_since_h=<heures>, toutes les entrées de la fenêtre (borne 4000) —\n # évite les fausses alertes « stale » quand 100+ sources synchronisent\n # plus de 20 fois entre deux sondages.\n log: list[dict] = []\n if syncs_since_h is not None:\n cutoff = time.time() - syncs_since_h * 3600\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log WHERE ts >= ?\"\n \" ORDER BY ts DESC LIMIT 4000\", (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\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):\n \"\"\"Tableau de bord analytique (contrat SPEC ka-stats, cache 5 min).\"\"\"\n return kastats.dashboard(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(\n period: str = Query(\"30j\"),\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = Query(None),\n mode: str = Query(\"complet\"),\n):\n \"\"\"Rapport PDF estampillé Groupe-KA (gabarit commun immoka/kapdf.py).\"\"\"\n from . import kapdf\n dash = kastats.dashboard(period, from_, to)\n site = {\n \"wordmark\": \"Immo·Ka\",\n \"accent\": \"#e23744\",\n \"domain\": \"www.immo-ka.com\",\n \"tagline\": \"Agrégateur de propriétés à vendre — province de Québec\",\n }\n pdf = kapdf.GroupeKAReport(\n site=site, dashboard=dash,\n mode=\"synthese\" if mode == \"synthese\" else \"complet\").build()\n return Response(\n content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{kapdf.filename(\"immo-ka\", period)}\"'})\n\n\n\n@app.get(\"/api/stats/catalog\")\ndef stats_catalog(\n period: str = Query(\"30j\"),\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = Query(None),\n):\n \"\"\"v3 — blocs composables pour le constructeur de rapports personnalisés.\"\"\"\n from . import kapdf\n dash = kastats.dashboard(period, from_, to)\n return {\"updated\": dash.get(\"updated\"), \"period\": dash.get(\"period\"),\n \"blocks\": kapdf.catalog(dash)}\n\n\n@app.post(\"/api/stats/report/custom\")\ndef stats_report_custom(spec: dict = Body(...)):\n \"\"\"v3 — rapport PDF personnalisé : {\"title\", \"period\", \"from\", \"to\",\n \"blocks\": [{\"key\": \"series:…\", \"render\": \"bar\"}, …]} (SPEC.md §3bis).\"\"\"\n from . import kapdf\n period = str(spec.get(\"period\") or \"30j\")\n dash = kastats.dashboard(period, str(spec.get(\"from\") or \"\") or None,\n str(spec.get(\"to\") or \"\") or None)\n site = {\n \"wordmark\": \"Immo·Ka\",\n \"accent\": \"#e23744\",\n \"domain\": \"www.immo-ka.com\",\n \"tagline\": \"Agrégateur de propriétés à vendre — province de Québec\",\n }\n known = {b[\"key\"] for b in kapdf.catalog(dash)}\n blocks = [b for b in (spec.get(\"blocks\") or [])\n if isinstance(b, dict) and b.get(\"key\") in known][:40]\n if not blocks:\n raise HTTPException(400, \"Aucun bloc valide dans la composition\")\n pdf = kapdf.GroupeKAReport(\n site=site, dashboard=dash, mode=kapdf.CUSTOM_MODE,\n spec={\"title\": str(spec.get(\"title\") or \"\")[:80], \"blocks\": blocks},\n ).build()\n fname = kapdf.filename(\"immo-ka\", period, kapdf.CUSTOM_MODE)\n return Response(\n content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\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# --- Référencement : robots, sitemaps, résolution de slugs (voir immoka/seo.py)\n@app.get(\"/robots.txt\")\ndef robots():\n return seo.robots_txt()\n\n\n@app.get(\"/sitemap.xml\")\ndef sitemap():\n return seo.sitemap_index()\n\n\n@app.get(\"/sitemaps/{name}\")\ndef sitemap_part(name: str):\n return seo.sitemap_file(name)\n\n\n@app.get(\"/api/seo/resolve\")\ndef seo_resolve(ville: str | None = None, type: str | None = None):\n \"\"\"Slug d'URL programmatique → valeurs exactes (pages /a-vendre du SPA).\"\"\"\n out = seo.resolve_slugs(ville, type)\n if out is None:\n raise HTTPException(404, \"Slug inconnu\")\n return out\n\n\n# --- Frontend statique -------------------------------------------------------\nif FRONTEND_DIR.exists():\n\n if (FRONTEND_DIR / \"assets\").is_dir():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIR / \"assets\"), name=\"assets\")\n\n @app.get(\"/doc\", include_in_schema=False)\n def doc_redirect():\n return RedirectResponse(\"/doc/\", status_code=301)\n\n # /doc : documentation statique (index.html + captures + PDF) — montée\n # explicitement pour que le catch-all SPA ne l'intercepte pas.\n if (FRONTEND_DIR / \"doc\").is_dir():\n app.mount(\"/doc\", StaticFiles(directory=FRONTEND_DIR / \"doc\", html=True), name=\"doc\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str, request: Request):\n target = FRONTEND_DIR / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n # rendu SEO côté serveur : HTML complet par route (meta, JSON-LD,\n # contenu dans #root que React remplace au montage). Ne doit JAMAIS\n # casser l'app → repli sur l'index brut à la moindre erreur.\n try:\n return seo.render_for_path(\"/\" + full_path,\n dict(request.query_params))\n except Exception:\n return FileResponse(FRONTEND_DIR / \"index.html\")\n","structuredPatch":[{"oldStart":476,"oldLines":6,"newStart":476,"newLines":7,"lines":[" \"SELECT source, price,\""," \" CAST(json_extract(vraiprix, '$.value') AS REAL) vp\""," \" FROM listings WHERE active=1\" + DEDUP_CLAUSE +","+ \" AND price IS NOT NULL AND price > 0\""," \" AND vraiprix LIKE '%estimation%'\"):"," if not r[\"vp\"] or r[\"vp\"] <= 0:"," continue"]}],"userModified":false,"replaceAll":false}}}46{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"44459008-950b-4b24-b96c-8c52a05bfd95","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}47{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaHqESC5pfocGNhLMpe","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01F9j7cHKqAYV64R8WmBWmmw","name":"Bash","input":{"command":"pm2 restart immo-ka-web && sleep 3 && curl -s http://localhost:8096/api/stats | python3 -c \"import json,sys; d=json.load(sys.stdin); print({k: d[k] for k in ('total','sources','cities','avg_price','max_price')}); print('vraiprix ensemble n =', d['vraiprix']['ensemble']['n'] if d['vraiprix']['ensemble'] else None)\"","description":"Restart immo-ka-web and verify /api/stats"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":527,"cache_read_input_tokens":44486,"cache_creation":{"ephemeral_5m_input_tokens":527,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"6678f5c3-374d-4a8e-bfc3-a076971f6ea9"}}48{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"pm2 restart immo-ka-web && sleep 3 && curl -s http://localhost:8096/api/stats | python3 -c \"import json,sys; d=json.load(sys.stdin); print({k: d[k] for k in ('total','sources','cities','avg_price','max_price')}); print('vraiprix ensemble n =', d['vraiprix']['ensemble']['n'] if d['vraiprix']['ensemble'] else None)\"","description":"Restart immo-ka-web and verify /api/stats"}}49{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bjs2q53ce","tool_use_id":"toolu_01F9j7cHKqAYV64R8WmBWmmw","description":"Restart immo-ka-web and verify /api/stats","task_type":"local_bash","uuid":"77510e4d-946c-4dc0-bc02-d67b34516744","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}50{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bjs2q53ce","tool_use_id":"toolu_01F9j7cHKqAYV64R8WmBWmmw","status":"completed","output_file":"","summary":"Restart immo-ka-web and verify /api/stats","uuid":"1d11c5f2-1611-44fc-a5a0-6ac56b30523d","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}51{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01F9j7cHKqAYV64R8WmBWmmw","type":"tool_result","content":"Use --update-env to update environment variables\n[PM2] Applying action restartProcessId on app [immo-ka-web](ids: [ 9 ])\n[PM2] [immo-ka-web](9) ✓\n┌────┬───────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼───────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 8 │ fabri-ka-ngrok │ default │ N/A │ fork │ 79941 │ 9D │ 1 │ online │ 0% │ 375.1mb │ simon-p… │ disabled │\n│ 7 │ fabri-ka-sync │ default │ N/A │ fork │ 47856 │ 45m │ 67 │ online │ 0% │ 538.0mb │ simon-p… │ disabled │\n│ 6 │ fabri-ka-web │ default │ N/A │ fork │ 69195 │ 6h │ 81 │ online │ 0% │ 172.9mb │ simon-p… │ disabled │\n│ 0 │ hfmarketdata-api │ default │ N/A │ fork │ 15999 │ 15D │ 2 │ online │ 0% │ 30.5mb │ simon-p… │ disabled │\n│ 1 │ hfmarketdata-ngrok │ default │ N/A │ fork │ 58051 │ 16D │ 0 │ online │ 0% │ 515.9mb │ simon-p… │ disabled │\n│ 4 │ immo-ka-ngrok │ default │ N/A │ fork │ 79925 │ 9D │ 1 │ online │ 0% │ 307.3mb │ simon-p… │ disabled │\n│ 11 │ immo-ka-sync │ default │ N/A │ fork │ 28868 │ 24h │ 20 │ online │ 0% │ 661.4mb │ simon-p… │ disabled │\n│ 9 │ immo-ka-web │ default │ N/A │ fork │ 97729 │ 0s │ 80 │ online │ 0% │ 224.0kb │ simon-p… │ disabled │\n│ 14 │ ora-ka-ngrok │ default │ N/A │ fork │ 74008 │ 13D │ 0 │ online │ 0% │ 259.1mb │ simon-p… │ disabled │\n│ 13 │ ora-ka-sync │ default │ N/A │ fork │ 73996 │ 13D │ 0 │ online │ 0% │ 1.3gb │ simon-p… │ disabled │\n│ 12 │ ora-ka-web │ default │ N/A │ fork │ 68503 │ 13D │ 9 │ online │ 0% │ 3.0gb │ simon-p… │ disabled │\n└────┴───────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n{'total': 69627, 'sources': 79, 'cities': 3296, 'avg_price': 691435.8133981322, 'max_price': 50000000.0}\nvraiprix ensemble n = 46101","is_error":false}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"6f5b7874-0524-4b1e-ac68-9c8a01c16981","timestamp":"2026-08-26T15:11:54.945Z","tool_use_result":{"stdout":"Use --update-env to update environment variables\n[PM2] Applying action restartProcessId on app [immo-ka-web](ids: [ 9 ])\n[PM2] [immo-ka-web](9) ✓\n┌────┬───────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼───────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 8 │ fabri-ka-ngrok │ default │ N/A │ fork │ 79941 │ 9D │ 1 │ online │ 0% │ 375.1mb │ simon-p… │ disabled │\n│ 7 │ fabri-ka-sync │ default │ N/A │ fork │ 47856 │ 45m │ 67 │ online │ 0% │ 538.0mb │ simon-p… │ disabled │\n│ 6 │ fabri-ka-web │ default │ N/A │ fork │ 69195 │ 6h │ 81 │ online │ 0% │ 172.9mb │ simon-p… │ disabled │\n│ 0 │ hfmarketdata-api │ default │ N/A │ fork │ 15999 │ 15D │ 2 │ online │ 0% │ 30.5mb │ simon-p… │ disabled │\n│ 1 │ hfmarketdata-ngrok │ default │ N/A │ fork │ 58051 │ 16D │ 0 │ online │ 0% │ 515.9mb │ simon-p… │ disabled │\n│ 4 │ immo-ka-ngrok │ default │ N/A │ fork │ 79925 │ 9D │ 1 │ online │ 0% │ 307.3mb │ simon-p… │ disabled │\n│ 11 │ immo-ka-sync │ default │ N/A │ fork │ 28868 │ 24h │ 20 │ online │ 0% │ 661.4mb │ simon-p… │ disabled │\n│ 9 │ immo-ka-web │ default │ N/A │ fork │ 97729 │ 0s │ 80 │ online │ 0% │ 224.0kb │ simon-p… │ disabled │\n│ 14 │ ora-ka-ngrok │ default │ N/A │ fork │ 74008 │ 13D │ 0 │ online │ 0% │ 259.1mb │ simon-p… │ disabled │\n│ 13 │ ora-ka-sync │ default │ N/A │ fork │ 73996 │ 13D │ 0 │ online │ 0% │ 1.3gb │ simon-p… │ disabled │\n│ 12 │ ora-ka-web │ default │ N/A │ fork │ 68503 │ 13D │ 9 │ online │ 0% │ 3.0gb │ simon-p… │ disabled │\n└────┴───────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n{'total': 69627, 'sources': 79, 'cities': 3296, 'avg_price': 691435.8133981322, 'max_price': 50000000.0}\nvraiprix ensemble n = 46101","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}52{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"280dcda1-14be-4829-905d-f32143834f95","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}53{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaJUQL6Fux6n3AsXBUu","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":1543,"cache_read_input_tokens":45013,"cache_creation":{"ephemeral_5m_input_tokens":1543,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"1b4cb072-54c8-41c5-a3ee-c56379e670e8"}}54{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaJUQL6Fux6n3AsXBUu","type":"message","role":"assistant","content":[{"type":"text","text":"L'API répond de nouveau (69 627 propriétés, 79 agences, 3 296 villes). Je vérifie le site public puis je committe et pousse."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1543,"cache_read_input_tokens":45013,"cache_creation":{"ephemeral_5m_input_tokens":1543,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"12a75168-8dd9-471d-889b-67c4fc910d99"}}55{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaJUQL6Fux6n3AsXBUu","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01K7rUT9bxFihxQrSMqc9rv5","name":"Bash","input":{"command":"curl -s -o /dev/null -w \"%{http_code}\\n\" https://immo-ka.maclustr.io/api/stats 2>/dev/null || curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:8096/api/stats","description":"Healthcheck public stats endpoint"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1543,"cache_read_input_tokens":45013,"cache_creation":{"ephemeral_5m_input_tokens":1543,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"cabe2e12-d2a6-42d8-a1f0-60aedc4a1ed2"}}56{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"curl -s -o /dev/null -w \"%{http_code}\\n\" https://immo-ka.maclustr.io/api/stats 2>/dev/null || curl -s -o /dev/null -w \"%{http_code}\\n\" http://localhost:8096/api/stats","description":"Healthcheck public stats endpoint"}}57{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01K7rUT9bxFihxQrSMqc9rv5","type":"tool_result","content":"000\n200","is_error":false}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"d822e71f-c310-4674-bfb9-737c3e732c1f","timestamp":"2026-08-26T15:12:02.331Z","tool_use_result":{"stdout":"000\n200","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}58{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"98879770-0b31-4595-9243-3f1588aec042","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}59{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaK1927ExiioJ3oqb2n","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BCGVhHpgNU4nQGry9dt7cK","name":"Bash","input":{"command":"pm2 describe immo-ka-ngrok | grep -i \"script args\\|url\" | head -3","description":"Find public domain of immo-ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":294,"cache_read_input_tokens":46556,"cache_creation":{"ephemeral_5m_input_tokens":294,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"48d42d5a-6e09-4aa8-96f8-079a861bff33"}}60{"type":"permission_auto","tool":"Bash","key":"tout autoriser","input":{"command":"pm2 describe immo-ka-ngrok | grep -i \"script args\\|url\" | head -3","description":"Find public domain of immo-ka"}}61{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BCGVhHpgNU4nQGry9dt7cK","type":"tool_result","content":"│ script args │ http --url=www.immo-ka.com 8096 │","is_error":false}]},"parent_tool_use_id":null,"session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8","uuid":"76935f61-4faf-4f4c-883e-5a94955b1fce","timestamp":"2026-08-26T15:12:07.704Z","tool_use_result":{"stdout":"│ script args │ http --url=www.immo-ka.com 8096 │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}62{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"5415eb44-1ff2-4fc1-bb58-44e52c638d40","session_id":"14d64ba8-ca45-407e-a73e-438dc52430a8"}}63{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeRaKPxxaLu3yt3uk6rAW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BsSRhWCfSB6qPkmh4zeXcA","name":"Bash","input":{"command":"curl -s -o /dev/null -w \"%{http_code}\\n\" https://www.immo-ka.com/api/stats","description":"Healthcheck www.immo-ka.com stats 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