{"type":"user_prompt","text":"Peux tu faire en sorte que ces les derniers auto annonce qui sont afficher en premier et non ceux avec le prix plus faible","ts":1787439016385} {"type":"status","state":"running"} {"type":"claude","event":{"type":"system","subtype":"init","cwd":"/Users/simon-pierreboucher/auto-ka","session_id":"dec48b13-715b-4291-9f90-d1d489deebed","tools":["Task","AskUserQuestion","Bash","CronCreate","CronDelete","CronList","Edit","EnterPlanMode","EnterWorktree","ExitPlanMode","ExitWorktree","Glob","Grep","Monitor","NotebookEdit","PushNotification","Read","RemoteTrigger","ScheduleWakeup","Skill","TaskOutput","TaskStop","TodoWrite","ToolSearch","WebFetch","WebSearch","Write"],"mcp_servers":[],"model":"claude-fable-5","permissionMode":"bypassPermissions","slash_commands":["update-config","debug","simplify","batch","fewer-permission-prompts","loop","schedule","claude-api","clear","compact","context","cost","heapdump","init","review","security-review","insights","team-onboarding"],"apiKeySource":"ANTHROPIC_API_KEY","claude_code_version":"2.1.117","output_style":"default","agents":["Explore","general-purpose","Plan","statusline-setup"],"skills":["update-config","debug","simplify","batch","fewer-permission-prompts","loop","schedule","claude-api"],"plugins":[],"uuid":"5d98030c-b404-48b3-b7ea-f969bfbb1a90","memory_paths":{"auto":"/Users/simon-pierreboucher/.claude/projects/-Users-simon-pierreboucher-auto-ka/memory/"},"fast_mode_state":"off"}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"8a4a8b7a-1ab6-4965-a5a2-4813d23c602a","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc24d6yfT28hmqxe4EH","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":33463,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33463,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"c9b97483-5bc0-4c14-8933-72294dd073e8"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc24d6yfT28hmqxe4EH","type":"message","role":"assistant","content":[{"type":"text","text":"Je vais trouver où le tri par défaut des annonces est défini dans auto-ka."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33463,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33463,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"402d6cad-b80c-4dbc-8e2f-9d0aa76e07ed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc24d6yfT28hmqxe4EH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HLDPimvHYGrUpuigGkRKDE","name":"Bash","input":{"command":"ls ~/auto-ka","description":"List auto-ka repo contents"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33463,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33463,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"9d797236-2e90-4d2d-addb-ed448834c34d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HLDPimvHYGrUpuigGkRKDE","type":"tool_result","content":"README.md\nautoka\ndata\ndocs\nfrontend\nrequirements.txt\nrun.py\nscripts","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"0528354a-41ae-4c2d-8328-0415bac9023b","timestamp":"2026-08-22T22:50:22.690Z","tool_use_result":{"stdout":"README.md\nautoka\ndata\ndocs\nfrontend\nrequirements.txt\nrun.py\nscripts","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc24d6yfT28hmqxe4EH","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013kscCphQEiWzQSgYg9R7oN","name":"Grep","input":{"pattern":"prix|price.*asc|ORDER BY|sort","path":"/Users/simon-pierreboucher/auto-ka","output_mode":"files_with_matches","-i":true,"head_limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":33463,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":33463,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"7327d891-9c00-435c-b4f1-73c7f3bc1b3d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013kscCphQEiWzQSgYg9R7oN","type":"tool_result","content":"Found 30 files limit: 30\nfrontend/src/App.tsx\nfrontend/src/styles.css\nfrontend/public/ka-agent.js\nfrontend/src/ka/ecosystem.json\nautoka/web.py\nautoka/statsdash.py\nfrontend/src/ka/stats/SPEC.md\nfrontend/src/ka/stats/kapdf.py\nautoka/kapdf.py\nfrontend/src/ka/stats/kacharts.tsx\ndocs/connecteurs/INDEX.md\ndocs/connecteurs/transverse-dedup-vin.md\ndocs/connecteurs/yannicklaberge.md\ndocs/connecteurs/stefoychrysler.md\ndocs/connecteurs/ototr.md\ndocs/connecteurs/otogo.md\ndocs/connecteurs/okaze.md\ndocs/connecteurs/occasioncharlevoix.md\ndocs/connecteurs/occasionbeaucage.md\ndocs/connecteurs/montjolichrysler.md\ndocs/connecteurs/megacentre.md\ndocs/connecteurs/leprixdugros.md\ndocs/connecteurs/kijiji.md\ndocs/connecteurs/jlkauto.md\ndocs/connecteurs/hgregoire.md\ndocs/connecteurs/dupontford.md\ndocs/connecteurs/desmeules.md\ndocs/connecteurs/clubautozone.md\ndocs/connecteurs/classeauto.md\ndocs/connecteurs/cargurus.md"}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"e9854e8c-7490-416b-b766-520c728c2e64","timestamp":"2026-08-22T22:50:24.470Z","tool_use_result":{"mode":"files_with_matches","filenames":["frontend/src/App.tsx","frontend/src/styles.css","frontend/public/ka-agent.js","frontend/src/ka/ecosystem.json","autoka/web.py","autoka/statsdash.py","frontend/src/ka/stats/SPEC.md","frontend/src/ka/stats/kapdf.py","autoka/kapdf.py","frontend/src/ka/stats/kacharts.tsx","docs/connecteurs/INDEX.md","docs/connecteurs/transverse-dedup-vin.md","docs/connecteurs/yannicklaberge.md","docs/connecteurs/stefoychrysler.md","docs/connecteurs/ototr.md","docs/connecteurs/otogo.md","docs/connecteurs/okaze.md","docs/connecteurs/occasioncharlevoix.md","docs/connecteurs/occasionbeaucage.md","docs/connecteurs/montjolichrysler.md","docs/connecteurs/megacentre.md","docs/connecteurs/leprixdugros.md","docs/connecteurs/kijiji.md","docs/connecteurs/jlkauto.md","docs/connecteurs/hgregoire.md","docs/connecteurs/dupontford.md","docs/connecteurs/desmeules.md","docs/connecteurs/clubautozone.md","docs/connecteurs/classeauto.md","docs/connecteurs/cargurus.md"],"numFiles":30,"appliedLimit":30}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"1a7a30c5-7e1e-4a15-aa89-9df7c21d6a33","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc2ewMHsRvuWV3ihd4M","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LHSUwADW4j6pXvGm1YRfik","name":"Grep","input":{"pattern":"sort|order","path":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","output_mode":"content","-i":true,"head_limit":60},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":931,"cache_read_input_tokens":33463,"cache_creation":{"ephemeral_5m_input_tokens":931,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"95e47b79-b391-4eef-a873-fb18cb9e1ed3"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LHSUwADW4j6pXvGm1YRfik","type":"tool_result","content":"89:_SORTS = {\n116: sort: str = \"price_asc\",\n138: sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n153: \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 10\",\n161: \" AND uid<>? ORDER BY price IS NULL, price ASC LIMIT 6\",\n221: \" GROUP BY make ORDER BY n DESC\")],\n223: model_sql + \" GROUP BY model ORDER BY n DESC LIMIT 80\", model_args)],\n226: \" AND body_type<>'' ORDER BY body_type\")],\n229: \" ORDER BY fuel\")],\n232: \" GROUP BY region ORDER BY n DESC\")],\n235: \" GROUP BY source ORDER BY n DESC\")],\n274: \" AND region<>'' GROUP BY region ORDER BY n DESC\")]\n278: \" AND make<>'' GROUP BY make ORDER BY n DESC LIMIT 20\")]\n282: \" AND body_type<>'' GROUP BY body_type ORDER BY n DESC\")]\n289: ROW_NUMBER() OVER (PARTITION BY uid ORDER BY ts DESC) rn\n293: ORDER BY (p.prev_price - v.price) DESC LIMIT 12\"\"\")]\n297: \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]"}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"219655d4-1390-4a76-8995-106eea64dc2a","timestamp":"2026-08-22T22:50:30.506Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"89:_SORTS = {\n116: sort: str = \"price_asc\",\n138: sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n153: \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 10\",\n161: \" AND uid<>? ORDER BY price IS NULL, price ASC LIMIT 6\",\n221: \" GROUP BY make ORDER BY n DESC\")],\n223: model_sql + \" GROUP BY model ORDER BY n DESC LIMIT 80\", model_args)],\n226: \" AND body_type<>'' ORDER BY body_type\")],\n229: \" ORDER BY fuel\")],\n232: \" GROUP BY region ORDER BY n DESC\")],\n235: \" GROUP BY source ORDER BY n DESC\")],\n274: \" AND region<>'' GROUP BY region ORDER BY n DESC\")]\n278: \" AND make<>'' GROUP BY make ORDER BY n DESC LIMIT 20\")]\n282: \" AND body_type<>'' GROUP BY body_type ORDER BY n DESC\")]\n289: ROW_NUMBER() OVER (PARTITION BY uid ORDER BY ts DESC) rn\n293: ORDER BY (p.prev_price - v.price) DESC LIMIT 12\"\"\")]\n297: \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]","numLines":17}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fd338455-fd92-4a48-b734-d0a87d29575e","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc35naUkMwAPhYstPpN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01GtRfnXKfq5LgqYciPFAH9d","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","offset":85,"limit":60},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":707,"cache_read_input_tokens":34394,"cache_creation":{"ephemeral_5m_input_tokens":707,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"1d9f95f7-4c70-4184-98eb-008c15151804"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01GtRfnXKfq5LgqYciPFAH9d","type":"tool_result","content":"85\t args += [f\"%{q}%\"] * 5\n86\t return sql\n87\t\n88\t\n89\t_SORTS = {\n90\t \"price_asc\": \"price IS NULL, price ASC\",\n91\t \"price_desc\": \"price IS NULL, price DESC\",\n92\t \"km_asc\": \"mileage_km IS NULL, mileage_km ASC\",\n93\t \"year_desc\": \"year IS NULL, year DESC\",\n94\t \"recent\": \"first_seen DESC\",\n95\t}\n96\t\n97\t\n98\t@app.get(\"/api/vehicles\")\n99\tdef list_vehicles(\n100\t kind: str = \"auto\",\n101\t make: str | None = None,\n102\t model: str | None = None,\n103\t body_type: str | None = None,\n104\t fuel: str | None = None,\n105\t transmission: str | None = None,\n106\t drivetrain: str | None = None,\n107\t region: str | None = None,\n108\t city: str | None = None,\n109\t source: str | None = None,\n110\t year_min: int | None = None,\n111\t year_max: int | None = None,\n112\t price_min: float | None = None,\n113\t price_max: float | None = None,\n114\t km_max: float | None = None,\n115\t q: str | None = None,\n116\t sort: str = \"price_asc\",\n117\t active: int = 1,\n118\t dedup: int = 1,\n119\t limit: int = Query(60, le=500),\n120\t offset: int = 0,\n121\t):\n122\t con = db.connect()\n123\t sql = \"SELECT * FROM vehicles WHERE 1=1\"\n124\t args: list = []\n125\t if active in (0, 1):\n126\t sql += \" AND active=?\"; args.append(active)\n127\t if dedup: # masquer les doublons inter-sources (même VIN)\n128\t sql += \" AND dup_of IS NULL\"\n129\t if kind and kind != \"tous\":\n130\t sql += \" AND kind=?\"; args.append(kind)\n131\t sql = _apply_filters(sql, args, make=make, model=model, body_type=body_type,\n132\t fuel=fuel, transmission=transmission,\n133\t drivetrain=drivetrain, region=region, city=city,\n134\t source=source, year_min=year_min, year_max=year_max,\n135\t price_min=price_min, price_max=price_max,\n136\t km_max=km_max, q=q)\n137\t total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n138\t sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n139\t args += [limit, offset]\n140\t rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n141\t con.close()\n142\t return {\"total\": total, \"count\": len(rows), \"vehicles\": rows}\n143\t\n144\t"}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"0dcf939b-c594-4292-afb5-0c7f9385e6a2","timestamp":"2026-08-22T22:50:35.113Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","content":" args += [f\"%{q}%\"] * 5\n return sql\n\n\n_SORTS = {\n \"price_asc\": \"price IS NULL, price ASC\",\n \"price_desc\": \"price IS NULL, price DESC\",\n \"km_asc\": \"mileage_km IS NULL, mileage_km ASC\",\n \"year_desc\": \"year IS NULL, year DESC\",\n \"recent\": \"first_seen DESC\",\n}\n\n\n@app.get(\"/api/vehicles\")\ndef list_vehicles(\n kind: str = \"auto\",\n make: str | None = None,\n model: str | None = None,\n body_type: str | None = None,\n fuel: str | None = None,\n transmission: str | None = None,\n drivetrain: str | None = None,\n region: str | None = None,\n city: str | None = None,\n source: str | None = None,\n year_min: int | None = None,\n year_max: int | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n km_max: float | None = None,\n q: str | None = None,\n sort: str = \"price_asc\",\n active: int = 1,\n dedup: int = 1,\n limit: int = Query(60, le=500),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM vehicles WHERE 1=1\"\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if dedup: # masquer les doublons inter-sources (même VIN)\n sql += \" AND dup_of IS NULL\"\n if kind and kind != \"tous\":\n sql += \" AND kind=?\"; args.append(kind)\n sql = _apply_filters(sql, args, make=make, model=model, body_type=body_type,\n fuel=fuel, transmission=transmission,\n drivetrain=drivetrain, region=region, city=city,\n source=source, year_min=year_min, year_max=year_max,\n price_min=price_min, price_max=price_max,\n km_max=km_max, q=q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"vehicles\": rows}\n\n","numLines":60,"startLine":85,"totalLines":409}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"bc49eb6c-cd2f-493d-be24-95344a1a42b3","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc3R9uXrEvSMcznsdSM","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":1110,"cache_read_input_tokens":35101,"cache_creation":{"ephemeral_5m_input_tokens":1110,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"e2659a39-0977-4bb6-bb27-e41eea7f871d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc3R9uXrEvSMcznsdSM","type":"message","role":"assistant","content":[{"type":"text","text":"Le backend a déjà un tri `recent` (first_seen DESC). Je vérifie le défaut côté frontend."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1110,"cache_read_input_tokens":35101,"cache_creation":{"ephemeral_5m_input_tokens":1110,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"b48727ff-d7f2-4d20-960f-d84a0378c5e3"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc3R9uXrEvSMcznsdSM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EMdZhi7biuVHAa5WzgUyMw","name":"Grep","input":{"pattern":"price_asc|sort|recent","path":"/Users/simon-pierreboucher/auto-ka/frontend/src/App.tsx","output_mode":"content","head_limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1110,"cache_read_input_tokens":35101,"cache_creation":{"ephemeral_5m_input_tokens":1110,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"38fb2d75-8de8-4809-a5ad-5e4cf4e63290"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EMdZhi7biuVHAa5WzgUyMw","type":"tool_result","content":"No matches found"}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"397fdac4-0eb1-4560-aabe-aef5db448150","timestamp":"2026-08-22T22:50:42.054Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"","numLines":0}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"98e8809a-c411-47da-94c2-3751cd8f8917","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc3vsLGrfqVu4DYUgjF","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_011XiHbA5zgYcU9RNHJ1hret","name":"Grep","input":{"pattern":"sort","path":"/Users/simon-pierreboucher/auto-ka/frontend/src","output_mode":"content","-i":true,"head_limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":255,"cache_read_input_tokens":36211,"cache_creation":{"ephemeral_5m_input_tokens":255,"ephemeral_1h_input_tokens":0},"output_tokens":15,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"d4f6f392-ac6c-4e54-b5e8-4140984ca11c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_011XiHbA5zgYcU9RNHJ1hret","type":"tool_result","content":"frontend/src/pages/Home.tsx:15:const SORTS = [\nfrontend/src/pages/Home.tsx:69: sort: g(\"sort\") || \"price_asc\",\nfrontend/src/pages/Home.tsx:282:
\nfrontend/src/pages/Home.tsx:283: \nfrontend/src/pages/Home.tsx:284: setFilter(\"sort\", e.target.value)}>\nfrontend/src/pages/Home.tsx:285: {SORTS.map((s) => (\nfrontend/src/styles.css:159:.sort-box { margin-left: auto; display: flex; align-items: center; gap: 8px; }\nfrontend/src/styles.css:160:.sort-box label { font-family: var(--font-mono); font-size: 11px; text-transform: uppercase; color: var(--ink-3); }\nfrontend/src/styles.css:161:.sort-box select {\nfrontend/src/styles.css:393: .sort-box { margin-left: 0; width: 100%; }\nfrontend/src/styles.css:394: .sort-box select { flex: 1; }\nfrontend/src/styles.css:702: contexte tactile (couvre #f-sort et les 9 selects de la page d'accueil ;\nfrontend/src/styles.css:709: .f-field select, .f-field input, .sort-box select {\nfrontend/src/api.ts:111: sort?: string;\nfrontend/src/pages/Sources.tsx:30: .sort((a, b) => b.active_listings - a.active_listings)\nfrontend/src/ka/ecosystem.json:138: \"id\": \"sorti-ka\",\nfrontend/src/ka/ecosystem.json:139: \"wordmark\": \"Sorti·Ka\",\nfrontend/src/ka/ecosystem.json:140: \"domain\": \"www.sorti-ka.com\",\nfrontend/src/ka/ecosystem.json:145: \"tagline\": \"Toutes les sorties, dans les 17 régions\"\nfrontend/src/ka/stats/SPEC.md:162:- **sorti-ka** : événements à venir/passés par catégorie/ville, gratuits vs\nfrontend/src/ka/stats/kapdf.py:338: sv = sorted(vs)\nfrontend/src/ka/stats/kacharts.tsx:511: const dates = cells.map((c) => c.date).sort();\nfrontend/src/ka/stats/kacharts.tsx:582: const sorted = [...vs].sort((a, b) => a - b);\nfrontend/src/ka/stats/kacharts.tsx:584: const med = sorted[Math.floor(sorted.length / 2)];\nfrontend/src/ka/stats/kacharts.tsx:587: [\"Min\", sorted[0]], [\"Max\", sorted[sorted.length - 1]],\nfrontend/src/ka/stats/kacharts.tsx:605: const [sort, setSort] = useState<{ col: number; dir: 1 | -1 } | null>(null);\nfrontend/src/ka/stats/kacharts.tsx:610: if (sort) r = [...r].sort((a, b) => {\nfrontend/src/ka/stats/kacharts.tsx:611: const x = a[sort.col], y = b[sort.col];\nfrontend/src/ka/stats/kacharts.tsx:614: if (!Number.isNaN(nx) && !Number.isNaN(ny)) return (nx - ny) * sort.dir;\nfrontend/src/ka/stats/kacharts.tsx:615: return String(x).localeCompare(String(y), \"fr\") * sort.dir;\nfrontend/src/ka/stats/kacharts.tsx:618: }, [spec.rows, q, sort]);\nfrontend/src/ka/stats/kacharts.tsx:633: setSort((s) => ({ col: i, dir: s?.col === i && s.dir === 1 ? -1 : 1 }))}\nfrontend/src/ka/stats/kacharts.tsx:635: aria-sort={sort?.col === i ? (sort.dir === 1 ? \"ascending\" : \"descending\") : \"none\"}>\nfrontend/src/ka/stats/kacharts.tsx:636: {c} {sort?.col === i ? (sort.dir === 1 ? \"▲\" : \"▼\") : \"↕\"}","numLines":34}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"6660a646-3df1-4f74-98ab-97fc42cbc7b7","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc4LCmvQJxkWf5kCGxc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01N449CLHNc4SxckSV47TRrB","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","offset":10,"limit":70},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1700,"cache_read_input_tokens":36466,"cache_creation":{"ephemeral_5m_input_tokens":1700,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"f5f83127-202d-4353-a4ab-7e3aaf1d37ff"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01N449CLHNc4SxckSV47TRrB","type":"tool_result","content":"10\t} from \"../api\";\n11\timport VehicleCard from \"../components/VehicleCard\";\n12\t\n13\tconst PAGE_SIZE = 24;\n14\t\n15\tconst SORTS = [\n16\t { v: \"price_asc\", label: \"Prix croissant\" },\n17\t { v: \"price_desc\", label: \"Prix décroissant\" },\n18\t { v: \"km_asc\", label: \"Kilométrage croissant\" },\n19\t { v: \"year_desc\", label: \"Année récente\" },\n20\t { v: \"recent\", label: \"Arrivages récents\" },\n21\t];\n22\t\n23\tconst PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];\n24\tconst KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];\n25\t\n26\tconst KIND_COPY: Record = {\n27\t auto: {\n28\t label: \"voitures usagées\",\n29\t hero: \"voitures usagées\",\n30\t sub: \"Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.\",\n31\t },\n32\t moto: {\n33\t label: \"motos usagées\",\n34\t hero: \"motos usagées\",\n35\t sub: \"Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.\",\n36\t },\n37\t scooter: {\n38\t label: \"scooters usagés\",\n39\t hero: \"scooters usagés\",\n40\t sub: \"Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.\",\n41\t },\n42\t};\n43\t\n44\texport interface HomeProps {\n45\t kind?: string;\n46\t /** Filtres imposés par une page SEO (marque, modèle, région, ville…). */\n47\t fixed?: Partial;\n48\t seoH1?: string;\n49\t seoIntro?: string;\n50\t}\n51\t\n52\texport default function Home({ kind = \"auto\", fixed, seoH1, seoIntro }: HomeProps) {\n53\t const [params, setParams] = useSearchParams();\n54\t const [facets, setFacets] = useState(null);\n55\t const [vehicles, setVehicles] = useState([]);\n56\t const [total, setTotal] = useState(0);\n57\t const [loading, setLoading] = useState(true);\n58\t const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } | null>(null);\n59\t\n60\t const query: VehicleQuery = useMemo(() => {\n61\t const g = (k: string) => params.get(k) || undefined;\n62\t const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);\n63\t return {\n64\t kind,\n65\t make: g(\"make\"), model: g(\"model\"), body_type: g(\"body\"),\n66\t fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),\n67\t source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),\n68\t price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),\n69\t sort: g(\"sort\") || \"price_asc\",\n70\t limit: PAGE_SIZE,\n71\t offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,\n72\t ...fixed,\n73\t };\n74\t }, [params, kind, fixed]);\n75\t\n76\t const page = Math.max(1, Number(params.get(\"page\") || 1));\n77\t const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));\n78\t\n79\t useEffect(() => {"}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"e6f667d6-3dc4-4245-b39a-1234ef1217ff","timestamp":"2026-08-22T22:50:52.566Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","content":"} from \"../api\";\nimport VehicleCard from \"../components/VehicleCard\";\n\nconst PAGE_SIZE = 24;\n\nconst SORTS = [\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n { v: \"recent\", label: \"Arrivages récents\" },\n];\n\nconst PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];\nconst KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];\n\nconst KIND_COPY: Record = {\n auto: {\n label: \"voitures usagées\",\n hero: \"voitures usagées\",\n sub: \"Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.\",\n },\n moto: {\n label: \"motos usagées\",\n hero: \"motos usagées\",\n sub: \"Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n scooter: {\n label: \"scooters usagés\",\n hero: \"scooters usagés\",\n sub: \"Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n};\n\nexport interface HomeProps {\n kind?: string;\n /** Filtres imposés par une page SEO (marque, modèle, région, ville…). */\n fixed?: Partial;\n seoH1?: string;\n seoIntro?: string;\n}\n\nexport default function Home({ kind = \"auto\", fixed, seoH1, seoIntro }: HomeProps) {\n const [params, setParams] = useSearchParams();\n const [facets, setFacets] = useState(null);\n const [vehicles, setVehicles] = useState([]);\n const [total, setTotal] = useState(0);\n const [loading, setLoading] = useState(true);\n const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } | null>(null);\n\n const query: VehicleQuery = useMemo(() => {\n const g = (k: string) => params.get(k) || undefined;\n const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);\n return {\n kind,\n make: g(\"make\"), model: g(\"model\"), body_type: g(\"body\"),\n fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),\n source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),\n price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),\n sort: g(\"sort\") || \"price_asc\",\n limit: PAGE_SIZE,\n offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,\n ...fixed,\n };\n }, [params, kind, fixed]);\n\n const page = Math.max(1, Number(params.get(\"page\") || 1));\n const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));\n\n useEffect(() => {","numLines":70,"startLine":10,"totalLines":335}}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"53190f96-d621-407b-b255-2e220836cbcb","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc4hr2dmfVq2pnPJNZN","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":1556,"cache_read_input_tokens":38166,"cache_creation":{"ephemeral_5m_input_tokens":1556,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"8150b1c5-1294-409c-b429-8e2691f9e00e"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc4hr2dmfVq2pnPJNZN","type":"message","role":"assistant","content":[{"type":"text","text":"Je change le tri par défaut pour « Arrivages récents » (first_seen DESC), côté frontend et backend."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1556,"cache_read_input_tokens":38166,"cache_creation":{"ephemeral_5m_input_tokens":1556,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"ba579ecb-c5d3-46eb-9e1a-6c60692a59c5"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc4hr2dmfVq2pnPJNZN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VQeSfsZRLzVv8ctMwDi746","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","old_string":"const SORTS = [\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n { v: \"recent\", label: \"Arrivages récents\" },\n];","new_string":"const SORTS = [\n { v: \"recent\", label: \"Arrivages récents\" },\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n];"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1556,"cache_read_input_tokens":38166,"cache_creation":{"ephemeral_5m_input_tokens":1556,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"0d526677-7cf0-40b5-85e9-c4c88c6cf6d5"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VQeSfsZRLzVv8ctMwDi746","type":"tool_result","content":"The file /Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"9bb7c1f8-4ace-4660-8d4a-6a31342b5632","timestamp":"2026-08-22T22:51:01.736Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","oldString":"const SORTS = [\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n { v: \"recent\", label: \"Arrivages récents\" },\n];","newString":"const SORTS = [\n { v: \"recent\", label: \"Arrivages récents\" },\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n];","originalFile":"// -----------------------------------------------------------------------------\n// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// Home.tsx : recherche — hero, filtres auto, grille de véhicules, pagination\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\nimport { useSearchParams } from \"react-router-dom\";\nimport {\n Facets, Vehicle, VehicleQuery, fetchFacets, fetchStats, fetchVehicles,\n} from \"../api\";\nimport VehicleCard from \"../components/VehicleCard\";\n\nconst PAGE_SIZE = 24;\n\nconst SORTS = [\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n { v: \"recent\", label: \"Arrivages récents\" },\n];\n\nconst PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];\nconst KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];\n\nconst KIND_COPY: Record = {\n auto: {\n label: \"voitures usagées\",\n hero: \"voitures usagées\",\n sub: \"Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.\",\n },\n moto: {\n label: \"motos usagées\",\n hero: \"motos usagées\",\n sub: \"Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n scooter: {\n label: \"scooters usagés\",\n hero: \"scooters usagés\",\n sub: \"Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n};\n\nexport interface HomeProps {\n kind?: string;\n /** Filtres imposés par une page SEO (marque, modèle, région, ville…). */\n fixed?: Partial;\n seoH1?: string;\n seoIntro?: string;\n}\n\nexport default function Home({ kind = \"auto\", fixed, seoH1, seoIntro }: HomeProps) {\n const [params, setParams] = useSearchParams();\n const [facets, setFacets] = useState(null);\n const [vehicles, setVehicles] = useState([]);\n const [total, setTotal] = useState(0);\n const [loading, setLoading] = useState(true);\n const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } | null>(null);\n\n const query: VehicleQuery = useMemo(() => {\n const g = (k: string) => params.get(k) || undefined;\n const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);\n return {\n kind,\n make: g(\"make\"), model: g(\"model\"), body_type: g(\"body\"),\n fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),\n source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),\n price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),\n sort: g(\"sort\") || \"price_asc\",\n limit: PAGE_SIZE,\n offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,\n ...fixed,\n };\n }, [params, kind, fixed]);\n\n const page = Math.max(1, Number(params.get(\"page\") || 1));\n const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));\n\n useEffect(() => {\n const title = seoH1\n ? `${seoH1} | Auto·Ka`\n : `Auto·Ka — ${(KIND_COPY[kind]?.label ?? \"véhicules\")\n .replace(/^./, (c) => c.toUpperCase())} à vendre au Québec`;\n document.title = title;\n }, [seoH1, kind]);\n\n useEffect(() => {\n fetchFacets(fixed?.make ?? params.get(\"make\") ?? undefined, kind)\n .then(setFacets)\n .catch(() => {});\n }, [fixed?.make, params.get(\"make\"), kind]);\n\n useEffect(() => {\n fetchStats()\n .then((s) => setHeroStats({ total: s.total, sources: s.sources, regions: s.regions }))\n .catch(() => {});\n }, []);\n\n useEffect(() => {\n setLoading(true);\n fetchVehicles(query)\n .then((r) => { setVehicles(r.vehicles); setTotal(r.total); })\n .catch(() => { setVehicles([]); setTotal(0); })\n .finally(() => setLoading(false));\n }, [query]);\n\n const setFilter = (key: string, value: string) => {\n const next = new URLSearchParams(params);\n if (value) next.set(key, value);\n else next.delete(key);\n if (key !== \"page\") next.delete(\"page\");\n if (key === \"make\") next.delete(\"model\"); // le modèle dépend de la marque\n setParams(next, { replace: false });\n };\n\n const clearAll = () => setParams(new URLSearchParams(), { replace: false });\n\n const years: number[] = [];\n const yb = facets?.years?.[0];\n if (yb?.y_min && yb?.y_max) {\n for (let y = yb.y_max; y >= yb.y_min; y--) years.push(y);\n }\n\n return (\n
\n
\n Agrégateur indépendant — direct des concessionnaires\n {seoH1 ? (\n

{seoH1}

\n ) : (\n

\n {kind === \"scooter\" ? \"Tous les \" : \"Toutes les \"}\n {KIND_COPY[kind]?.hero ?? \"véhicules\"} à vendre au Québec.\n Un seul endroit.\n

\n )}\n

{seoIntro ?? KIND_COPY[kind]?.sub}

\n {kind === \"auto\" && !seoH1 && heroStats && (\n
\n
{heroStats.total.toLocaleString(\"fr-CA\")} véhicules en vente
\n
{heroStats.sources} concessionnaires
\n
{heroStats.regions} régions couvertes
\n
\n )}\n
\n\n
\n
\n \n {\n if (e.key === \"Enter\") setFilter(\"q\", (e.target as HTMLInputElement).value);\n }}\n />\n
\n
\n \n setFilter(\"make\", e.target.value)}\n >\n \n {fixed?.make && !facets?.makes.some((m) => m.make === fixed.make) && (\n \n )}\n {facets?.makes.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"model\", e.target.value)}\n >\n \n {fixed?.model && !facets?.models.some((m) => m.model === fixed.model) && (\n \n )}\n {facets?.models.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"region\", e.target.value)}\n >\n \n {fixed?.region && !facets?.regions.some((r) => r.region === fixed.region) && (\n \n )}\n {facets?.regions.map((r) => (\n \n ))}\n \n
\n
\n \n setFilter(\"body\", e.target.value)}\n >\n \n {fixed?.body_type && !facets?.body_types.includes(fixed.body_type) && (\n \n )}\n {facets?.body_types.map((b) => (\n \n ))}\n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n
\n
\n\n
\n

\n {total.toLocaleString(\"fr-CA\")}{\" \"}\n véhicule{total !== 1 ? \"s\" : \"\"} trouvé{total !== 1 ? \"s\" : \"\"}\n

\n
\n \n \n
\n
\n\n {loading ? (\n
\n {Array.from({ length: 8 }).map((_, i) => (\n
\n ))}\n
\n ) : vehicles.length === 0 ? (\n
\n
🔍
\n

Aucun véhicule ne correspond

\n

Essayez d'élargir vos filtres — l'inventaire évolue chaque jour.

\n
\n ) : (\n <>\n
\n {vehicles.map((v) => (\n \n ))}\n
\n {pages > 1 && (\n
\n { setFilter(\"page\", String(page - 1)); window.scrollTo(0, 0); }}\n >\n ← Précédent\n \n page {page} / {pages}\n = pages}\n onClick={() => { setFilter(\"page\", String(page + 1)); window.scrollTo(0, 0); }}\n >\n Suivant →\n \n
\n )}\n \n )}\n
\n );\n}\n","structuredPatch":[{"oldStart":13,"oldLines":11,"newStart":13,"newLines":11,"lines":[" const PAGE_SIZE = 24;"," "," const SORTS = [","+ { v: \"recent\", label: \"Arrivages récents\" },"," { v: \"price_asc\", label: \"Prix croissant\" },"," { v: \"price_desc\", label: \"Prix décroissant\" },"," { v: \"km_asc\", label: \"Kilométrage croissant\" },"," { v: \"year_desc\", label: \"Année récente\" },","- { v: \"recent\", label: \"Arrivages récents\" },"," ];"," "," const PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc4hr2dmfVq2pnPJNZN","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Y36EHjcEPc22P2azW6Uds4","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","old_string":" sort: g(\"sort\") || \"price_asc\",","new_string":" sort: g(\"sort\") || \"recent\","},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1556,"cache_read_input_tokens":38166,"cache_creation":{"ephemeral_5m_input_tokens":1556,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"4970033a-d1d4-4599-8f13-5bf321763017"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Y36EHjcEPc22P2azW6Uds4","type":"tool_result","content":"The file /Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"4bb00e93-3f47-46fd-bd1a-2ab1e07af0a7","timestamp":"2026-08-22T22:51:02.645Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","oldString":" sort: g(\"sort\") || \"price_asc\",","newString":" sort: g(\"sort\") || \"recent\",","originalFile":"// -----------------------------------------------------------------------------\n// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// Home.tsx : recherche — hero, filtres auto, grille de véhicules, pagination\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\nimport { useSearchParams } from \"react-router-dom\";\nimport {\n Facets, Vehicle, VehicleQuery, fetchFacets, fetchStats, fetchVehicles,\n} from \"../api\";\nimport VehicleCard from \"../components/VehicleCard\";\n\nconst PAGE_SIZE = 24;\n\nconst SORTS = [\n { v: \"recent\", label: \"Arrivages récents\" },\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n];\n\nconst PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];\nconst KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];\n\nconst KIND_COPY: Record = {\n auto: {\n label: \"voitures usagées\",\n hero: \"voitures usagées\",\n sub: \"Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.\",\n },\n moto: {\n label: \"motos usagées\",\n hero: \"motos usagées\",\n sub: \"Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n scooter: {\n label: \"scooters usagés\",\n hero: \"scooters usagés\",\n sub: \"Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n};\n\nexport interface HomeProps {\n kind?: string;\n /** Filtres imposés par une page SEO (marque, modèle, région, ville…). */\n fixed?: Partial;\n seoH1?: string;\n seoIntro?: string;\n}\n\nexport default function Home({ kind = \"auto\", fixed, seoH1, seoIntro }: HomeProps) {\n const [params, setParams] = useSearchParams();\n const [facets, setFacets] = useState(null);\n const [vehicles, setVehicles] = useState([]);\n const [total, setTotal] = useState(0);\n const [loading, setLoading] = useState(true);\n const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } | null>(null);\n\n const query: VehicleQuery = useMemo(() => {\n const g = (k: string) => params.get(k) || undefined;\n const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);\n return {\n kind,\n make: g(\"make\"), model: g(\"model\"), body_type: g(\"body\"),\n fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),\n source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),\n price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),\n sort: g(\"sort\") || \"price_asc\",\n limit: PAGE_SIZE,\n offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,\n ...fixed,\n };\n }, [params, kind, fixed]);\n\n const page = Math.max(1, Number(params.get(\"page\") || 1));\n const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));\n\n useEffect(() => {\n const title = seoH1\n ? `${seoH1} | Auto·Ka`\n : `Auto·Ka — ${(KIND_COPY[kind]?.label ?? \"véhicules\")\n .replace(/^./, (c) => c.toUpperCase())} à vendre au Québec`;\n document.title = title;\n }, [seoH1, kind]);\n\n useEffect(() => {\n fetchFacets(fixed?.make ?? params.get(\"make\") ?? undefined, kind)\n .then(setFacets)\n .catch(() => {});\n }, [fixed?.make, params.get(\"make\"), kind]);\n\n useEffect(() => {\n fetchStats()\n .then((s) => setHeroStats({ total: s.total, sources: s.sources, regions: s.regions }))\n .catch(() => {});\n }, []);\n\n useEffect(() => {\n setLoading(true);\n fetchVehicles(query)\n .then((r) => { setVehicles(r.vehicles); setTotal(r.total); })\n .catch(() => { setVehicles([]); setTotal(0); })\n .finally(() => setLoading(false));\n }, [query]);\n\n const setFilter = (key: string, value: string) => {\n const next = new URLSearchParams(params);\n if (value) next.set(key, value);\n else next.delete(key);\n if (key !== \"page\") next.delete(\"page\");\n if (key === \"make\") next.delete(\"model\"); // le modèle dépend de la marque\n setParams(next, { replace: false });\n };\n\n const clearAll = () => setParams(new URLSearchParams(), { replace: false });\n\n const years: number[] = [];\n const yb = facets?.years?.[0];\n if (yb?.y_min && yb?.y_max) {\n for (let y = yb.y_max; y >= yb.y_min; y--) years.push(y);\n }\n\n return (\n
\n
\n Agrégateur indépendant — direct des concessionnaires\n {seoH1 ? (\n

{seoH1}

\n ) : (\n

\n {kind === \"scooter\" ? \"Tous les \" : \"Toutes les \"}\n {KIND_COPY[kind]?.hero ?? \"véhicules\"} à vendre au Québec.\n Un seul endroit.\n

\n )}\n

{seoIntro ?? KIND_COPY[kind]?.sub}

\n {kind === \"auto\" && !seoH1 && heroStats && (\n
\n
{heroStats.total.toLocaleString(\"fr-CA\")} véhicules en vente
\n
{heroStats.sources} concessionnaires
\n
{heroStats.regions} régions couvertes
\n
\n )}\n
\n\n
\n
\n \n {\n if (e.key === \"Enter\") setFilter(\"q\", (e.target as HTMLInputElement).value);\n }}\n />\n
\n
\n \n setFilter(\"make\", e.target.value)}\n >\n \n {fixed?.make && !facets?.makes.some((m) => m.make === fixed.make) && (\n \n )}\n {facets?.makes.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"model\", e.target.value)}\n >\n \n {fixed?.model && !facets?.models.some((m) => m.model === fixed.model) && (\n \n )}\n {facets?.models.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"region\", e.target.value)}\n >\n \n {fixed?.region && !facets?.regions.some((r) => r.region === fixed.region) && (\n \n )}\n {facets?.regions.map((r) => (\n \n ))}\n \n
\n
\n \n setFilter(\"body\", e.target.value)}\n >\n \n {fixed?.body_type && !facets?.body_types.includes(fixed.body_type) && (\n \n )}\n {facets?.body_types.map((b) => (\n \n ))}\n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n
\n
\n\n
\n

\n {total.toLocaleString(\"fr-CA\")}{\" \"}\n véhicule{total !== 1 ? \"s\" : \"\"} trouvé{total !== 1 ? \"s\" : \"\"}\n

\n
\n \n \n
\n
\n\n {loading ? (\n
\n {Array.from({ length: 8 }).map((_, i) => (\n
\n ))}\n
\n ) : vehicles.length === 0 ? (\n
\n
🔍
\n

Aucun véhicule ne correspond

\n

Essayez d'élargir vos filtres — l'inventaire évolue chaque jour.

\n
\n ) : (\n <>\n
\n {vehicles.map((v) => (\n \n ))}\n
\n {pages > 1 && (\n
\n { setFilter(\"page\", String(page - 1)); window.scrollTo(0, 0); }}\n >\n ← Précédent\n \n page {page} / {pages}\n = pages}\n onClick={() => { setFilter(\"page\", String(page + 1)); window.scrollTo(0, 0); }}\n >\n Suivant →\n \n
\n )}\n \n )}\n
\n );\n}\n","structuredPatch":[{"oldStart":66,"oldLines":7,"newStart":66,"newLines":7,"lines":[" fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),"," source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),"," price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),","- sort: g(\"sort\") || \"price_asc\",","+ sort: g(\"sort\") || \"recent\","," limit: PAGE_SIZE,"," offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,"," ...fixed,"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"163abd41-a345-4965-a15f-4afb9acf37c7","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc5Sx7Gv61dpYhXTuiy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016no1fMWuC8EAGz6nMTphmy","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","old_string":"value={params.get(\"sort\") || \"price_asc\"}","new_string":"value={params.get(\"sort\") || \"recent\"}"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1003,"cache_read_input_tokens":39722,"cache_creation":{"ephemeral_5m_input_tokens":1003,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"381c945b-4f95-4093-869e-708e343d8023"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_016no1fMWuC8EAGz6nMTphmy","type":"tool_result","content":"The file /Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"29ca678a-7181-4ede-a629-0049054c8611","timestamp":"2026-08-22T22:51:08.791Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/auto-ka/frontend/src/pages/Home.tsx","oldString":"value={params.get(\"sort\") || \"price_asc\"}","newString":"value={params.get(\"sort\") || \"recent\"}","originalFile":"// -----------------------------------------------------------------------------\n// Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// Home.tsx : recherche — hero, filtres auto, grille de véhicules, pagination\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\nimport { useSearchParams } from \"react-router-dom\";\nimport {\n Facets, Vehicle, VehicleQuery, fetchFacets, fetchStats, fetchVehicles,\n} from \"../api\";\nimport VehicleCard from \"../components/VehicleCard\";\n\nconst PAGE_SIZE = 24;\n\nconst SORTS = [\n { v: \"recent\", label: \"Arrivages récents\" },\n { v: \"price_asc\", label: \"Prix croissant\" },\n { v: \"price_desc\", label: \"Prix décroissant\" },\n { v: \"km_asc\", label: \"Kilométrage croissant\" },\n { v: \"year_desc\", label: \"Année récente\" },\n];\n\nconst PRICE_STEPS = [5000, 10000, 15000, 20000, 25000, 30000, 40000, 50000, 75000, 100000];\nconst KM_STEPS = [20000, 40000, 60000, 80000, 100000, 130000, 160000, 200000];\n\nconst KIND_COPY: Record = {\n auto: {\n label: \"voitures usagées\",\n hero: \"voitures usagées\",\n sub: \"Auto-Ka visite les sites des concessionnaires et marchands d'occasion de toutes les régions, normalise chaque annonce et détecte les nouveautés, les ventes et les baisses de prix — automatiquement.\",\n },\n moto: {\n label: \"motos usagées\",\n hero: \"motos usagées\",\n sub: \"Les inventaires des concessionnaires moto du Québec — Harley-Davidson, Honda, Yamaha, Kawasaki, BMW et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n scooter: {\n label: \"scooters usagés\",\n hero: \"scooters usagés\",\n sub: \"Les scooters usagés des concessionnaires du Québec — Vespa, Honda, Yamaha, Kymco et plus — agrégés à la source et tenus à jour automatiquement.\",\n },\n};\n\nexport interface HomeProps {\n kind?: string;\n /** Filtres imposés par une page SEO (marque, modèle, région, ville…). */\n fixed?: Partial;\n seoH1?: string;\n seoIntro?: string;\n}\n\nexport default function Home({ kind = \"auto\", fixed, seoH1, seoIntro }: HomeProps) {\n const [params, setParams] = useSearchParams();\n const [facets, setFacets] = useState(null);\n const [vehicles, setVehicles] = useState([]);\n const [total, setTotal] = useState(0);\n const [loading, setLoading] = useState(true);\n const [heroStats, setHeroStats] = useState<{ total: number; sources: number; regions: number } | null>(null);\n\n const query: VehicleQuery = useMemo(() => {\n const g = (k: string) => params.get(k) || undefined;\n const gn = (k: string) => (params.get(k) ? Number(params.get(k)) : undefined);\n return {\n kind,\n make: g(\"make\"), model: g(\"model\"), body_type: g(\"body\"),\n fuel: g(\"fuel\"), transmission: g(\"trans\"), region: g(\"region\"),\n source: g(\"source\"), year_min: gn(\"ymin\"), year_max: gn(\"ymax\"),\n price_max: gn(\"pmax\"), km_max: gn(\"kmax\"), q: g(\"q\"),\n sort: g(\"sort\") || \"recent\",\n limit: PAGE_SIZE,\n offset: (Math.max(1, gn(\"page\") || 1) - 1) * PAGE_SIZE,\n ...fixed,\n };\n }, [params, kind, fixed]);\n\n const page = Math.max(1, Number(params.get(\"page\") || 1));\n const pages = Math.max(1, Math.ceil(total / PAGE_SIZE));\n\n useEffect(() => {\n const title = seoH1\n ? `${seoH1} | Auto·Ka`\n : `Auto·Ka — ${(KIND_COPY[kind]?.label ?? \"véhicules\")\n .replace(/^./, (c) => c.toUpperCase())} à vendre au Québec`;\n document.title = title;\n }, [seoH1, kind]);\n\n useEffect(() => {\n fetchFacets(fixed?.make ?? params.get(\"make\") ?? undefined, kind)\n .then(setFacets)\n .catch(() => {});\n }, [fixed?.make, params.get(\"make\"), kind]);\n\n useEffect(() => {\n fetchStats()\n .then((s) => setHeroStats({ total: s.total, sources: s.sources, regions: s.regions }))\n .catch(() => {});\n }, []);\n\n useEffect(() => {\n setLoading(true);\n fetchVehicles(query)\n .then((r) => { setVehicles(r.vehicles); setTotal(r.total); })\n .catch(() => { setVehicles([]); setTotal(0); })\n .finally(() => setLoading(false));\n }, [query]);\n\n const setFilter = (key: string, value: string) => {\n const next = new URLSearchParams(params);\n if (value) next.set(key, value);\n else next.delete(key);\n if (key !== \"page\") next.delete(\"page\");\n if (key === \"make\") next.delete(\"model\"); // le modèle dépend de la marque\n setParams(next, { replace: false });\n };\n\n const clearAll = () => setParams(new URLSearchParams(), { replace: false });\n\n const years: number[] = [];\n const yb = facets?.years?.[0];\n if (yb?.y_min && yb?.y_max) {\n for (let y = yb.y_max; y >= yb.y_min; y--) years.push(y);\n }\n\n return (\n
\n
\n Agrégateur indépendant — direct des concessionnaires\n {seoH1 ? (\n

{seoH1}

\n ) : (\n

\n {kind === \"scooter\" ? \"Tous les \" : \"Toutes les \"}\n {KIND_COPY[kind]?.hero ?? \"véhicules\"} à vendre au Québec.\n Un seul endroit.\n

\n )}\n

{seoIntro ?? KIND_COPY[kind]?.sub}

\n {kind === \"auto\" && !seoH1 && heroStats && (\n
\n
{heroStats.total.toLocaleString(\"fr-CA\")} véhicules en vente
\n
{heroStats.sources} concessionnaires
\n
{heroStats.regions} régions couvertes
\n
\n )}\n
\n\n
\n
\n \n {\n if (e.key === \"Enter\") setFilter(\"q\", (e.target as HTMLInputElement).value);\n }}\n />\n
\n
\n \n setFilter(\"make\", e.target.value)}\n >\n \n {fixed?.make && !facets?.makes.some((m) => m.make === fixed.make) && (\n \n )}\n {facets?.makes.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"model\", e.target.value)}\n >\n \n {fixed?.model && !facets?.models.some((m) => m.model === fixed.model) && (\n \n )}\n {facets?.models.map((m) => (\n \n ))}\n \n
\n
\n \n setFilter(\"region\", e.target.value)}\n >\n \n {fixed?.region && !facets?.regions.some((r) => r.region === fixed.region) && (\n \n )}\n {facets?.regions.map((r) => (\n \n ))}\n \n
\n
\n \n setFilter(\"body\", e.target.value)}\n >\n \n {fixed?.body_type && !facets?.body_types.includes(fixed.body_type) && (\n \n )}\n {facets?.body_types.map((b) => (\n \n ))}\n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n \n
\n
\n \n
\n
\n\n
\n

\n {total.toLocaleString(\"fr-CA\")}{\" \"}\n véhicule{total !== 1 ? \"s\" : \"\"} trouvé{total !== 1 ? \"s\" : \"\"}\n

\n
\n \n \n
\n
\n\n {loading ? (\n
\n {Array.from({ length: 8 }).map((_, i) => (\n
\n ))}\n
\n ) : vehicles.length === 0 ? (\n
\n
🔍
\n

Aucun véhicule ne correspond

\n

Essayez d'élargir vos filtres — l'inventaire évolue chaque jour.

\n
\n ) : (\n <>\n
\n {vehicles.map((v) => (\n \n ))}\n
\n {pages > 1 && (\n
\n { setFilter(\"page\", String(page - 1)); window.scrollTo(0, 0); }}\n >\n ← Précédent\n \n page {page} / {pages}\n = pages}\n onClick={() => { setFilter(\"page\", String(page + 1)); window.scrollTo(0, 0); }}\n >\n Suivant →\n \n
\n )}\n \n )}\n
\n );\n}\n","structuredPatch":[{"oldStart":281,"oldLines":7,"newStart":281,"newLines":7,"lines":[" ","
"," ","- setFilter(\"sort\", e.target.value)}>"," {SORTS.map((s) => ("," "," ))}"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc5Sx7Gv61dpYhXTuiy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01T7Hvj5NNrkstBCSAX3wjc8","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","old_string":" sort: str = \"price_asc\",","new_string":" sort: str = \"recent\","},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1003,"cache_read_input_tokens":39722,"cache_creation":{"ephemeral_5m_input_tokens":1003,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"5cc5d5f2-bf96-4192-87b3-1eb1063a09dd"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01T7Hvj5NNrkstBCSAX3wjc8","type":"tool_result","content":"The file /Users/simon-pierreboucher/auto-ka/autoka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"cba868ec-b94d-4fe2-956a-7d3a6921dad6","timestamp":"2026-08-22T22:51:09.389Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","oldString":" sort: str = \"price_asc\",","newString":" sort: str = \"recent\",","originalFile":"# -----------------------------------------------------------------------------\n# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, ingest, seo\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Auto-Ka API\", version=\"1.0\",\n description=\"Agrégateur de voitures usagées — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n\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 # autres offres du même VIN (dédoublonnage inter-sources — autoka/dedup.py)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except ValueError:\n d[\"dup_sources\"] = []\n return d\n\n\ndef _apply_filters(sql: str, args: list, *, make=None, model=None, body_type=None,\n fuel=None, transmission=None, drivetrain=None, region=None,\n city=None, source=None, year_min=None, year_max=None,\n price_min=None, price_max=None, km_max=None, q=None) -> str:\n if make:\n sql += \" AND make=?\"; args.append(make)\n if model:\n sql += \" AND model LIKE ?\"; args.append(f\"{model}%\")\n if body_type:\n sql += \" AND body_type=?\"; args.append(body_type)\n if fuel:\n if fuel == \"Hybride\": # inclut l'hybride rechargeable\n sql += \" AND fuel IN ('Hybride','Hybride rechargeable')\"\n else:\n sql += \" AND fuel=?\"; args.append(fuel)\n if transmission:\n sql += \" AND transmission=?\"; args.append(transmission)\n if drivetrain:\n sql += \" AND drivetrain=?\"; args.append(drivetrain)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if source:\n sql += \" AND source=?\"; args.append(source)\n if year_min is not None:\n sql += \" AND year IS NOT NULL AND year>=?\"; args.append(year_min)\n if year_max is not None:\n sql += \" AND year IS NOT NULL AND year<=?\"; args.append(year_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if km_max is not None:\n sql += \" AND mileage_km IS NOT NULL AND mileage_km<=?\"; args.append(km_max)\n if q:\n sql += (\" AND (title LIKE ? OR make LIKE ? OR model LIKE ?\"\n \" OR dealer_name LIKE ? OR city LIKE ?)\")\n args += [f\"%{q}%\"] * 5\n return sql\n\n\n_SORTS = {\n \"price_asc\": \"price IS NULL, price ASC\",\n \"price_desc\": \"price IS NULL, price DESC\",\n \"km_asc\": \"mileage_km IS NULL, mileage_km ASC\",\n \"year_desc\": \"year IS NULL, year DESC\",\n \"recent\": \"first_seen DESC\",\n}\n\n\n@app.get(\"/api/vehicles\")\ndef list_vehicles(\n kind: str = \"auto\",\n make: str | None = None,\n model: str | None = None,\n body_type: str | None = None,\n fuel: str | None = None,\n transmission: str | None = None,\n drivetrain: str | None = None,\n region: str | None = None,\n city: str | None = None,\n source: str | None = None,\n year_min: int | None = None,\n year_max: int | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n km_max: float | None = None,\n q: str | None = None,\n sort: str = \"price_asc\",\n active: int = 1,\n dedup: int = 1,\n limit: int = Query(60, le=500),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM vehicles WHERE 1=1\"\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if dedup: # masquer les doublons inter-sources (même VIN)\n sql += \" AND dup_of IS NULL\"\n if kind and kind != \"tous\":\n sql += \" AND kind=?\"; args.append(kind)\n sql = _apply_filters(sql, args, make=make, model=model, body_type=body_type,\n fuel=fuel, transmission=transmission,\n drivetrain=drivetrain, region=region, city=city,\n source=source, year_min=year_min, year_max=year_max,\n price_min=price_min, price_max=price_max,\n km_max=km_max, q=q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"vehicles\": rows}\n\n\n@app.get(\"/api/vehicles/{uid}\")\ndef get_vehicle(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM vehicles WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\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 # véhicules similaires : même marque+modèle, autres sources incluses\n if d.get(\"make\") and d.get(\"model\"):\n base_model = d[\"model\"].split()[0]\n d[\"similar\"] = [_row_to_dict(r) for r in con.execute(\n \"SELECT * FROM vehicles WHERE active=1 AND dup_of IS NULL\"\n \" AND make=? AND model LIKE ?\"\n \" AND uid<>? ORDER BY price IS NULL, price ASC LIMIT 6\",\n (d[\"make\"], f\"{base_model}%\", uid)).fetchall()]\n else:\n d[\"similar\"] = []\n con.close()\n if d is None:\n raise HTTPException(404, \"Véhicule introuvable\")\n return d\n\n\n@app.get(\"/api/vehicles/{uid}/recalls\")\ndef vehicle_recalls(uid: str):\n \"\"\"Rappels Transports Canada visant ce véhicule (marque/modèle/année).\"\"\"\n from . import recalls as recalls_mod\n con = db.connect()\n row = con.execute(\"SELECT make, model, year FROM vehicles WHERE uid=?\",\n (uid,)).fetchone()\n if row is None:\n con.close()\n raise HTTPException(404, \"Véhicule introuvable\")\n try:\n items = recalls_mod.for_vehicle(con, row[\"make\"], row[\"model\"],\n row[\"year\"])\n finally:\n con.close()\n return {\"uid\": uid, \"make\": row[\"make\"], \"model\": row[\"model\"],\n \"year\": row[\"year\"], \"count\": len(items), \"recalls\": items}\n\n\n@app.get(\"/api/dealers\")\ndef dealers():\n \"\"\"Coordonnées des concessionnaires suivis (autoka/dealers.py).\"\"\"\n from . import dealers as dealers_mod\n con = db.connect()\n try:\n rows = dealers_mod.list_dealers(con)\n finally:\n con.close()\n return {\"count\": len(rows), \"dealers\": rows}\n\n\n@app.get(\"/api/facets\")\ndef facets(make: str | None = None, kind: str = \"auto\"):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `make` (optionnel) restreint la liste des modèles à cette marque —\n utilisé par le sélecteur « Modèle » dépendant de « Marque ».\n \"\"\"\n con = db.connect()\n kf = \"\" if kind in (\"\", \"tous\") else f\" AND kind='{'moto' if kind=='moto' else 'scooter' if kind=='scooter' else 'auto'}'\"\n kf += \" AND dup_of IS NULL\" # compter chaque véhicule une seule fois\n model_sql = (\"SELECT model, COUNT(*) n FROM vehicles\"\n \" WHERE active=1 AND model<>''\" + kf)\n model_args: list = []\n if make:\n model_sql += \" AND make=?\"\n model_args.append(make)\n out = {\n \"makes\": [dict(r) for r in con.execute(\n \"SELECT make, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \" AND make<>''\"\n \" GROUP BY make ORDER BY n DESC\")],\n \"models\": [dict(r) for r in con.execute(\n model_sql + \" GROUP BY model ORDER BY n DESC LIMIT 80\", model_args)],\n \"body_types\": [r[\"body_type\"] for r in con.execute(\n \"SELECT DISTINCT body_type FROM vehicles WHERE active=1\" + kf + \"\"\n \" AND body_type<>'' ORDER BY body_type\")],\n \"fuels\": [r[\"fuel\"] for r in con.execute(\n \"SELECT DISTINCT fuel FROM vehicles WHERE active=1\" + kf + \" AND fuel<>''\"\n \" ORDER BY fuel\")],\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \" AND region<>''\"\n \" GROUP BY region ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, dealer_name, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \"\"\n \" GROUP BY source ORDER BY n DESC\")],\n \"years\": [dict(r) for r in con.execute(\n \"SELECT MIN(year) y_min, MAX(year) y_max FROM vehicles\"\n \" WHERE active=1\" + kf + \" AND year IS NOT NULL\")],\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 vehicles 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@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 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)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu : YYYY-MM-DD)\")\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(\n period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\",\n):\n \"\"\"Rapport PDF estampillé Groupe-KA — 5 modes (SPEC v2) : complet,\n synthese, tendances, repartitions, donnees. Mode inconnu → complet.\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n try:\n dash = statsdash.dashboard(period, from_, to)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu : YYYY-MM-DD)\")\n mode = mode if mode in kapdf.REPORT_MODES else \"complet\"\n pdf = kapdf.GroupeKAReport(site=KA_SITE, dashboard=dash, mode=mode).build()\n return Response(\n content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{kapdf.filename(\"auto-ka\", period, mode)}\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_pdf():\n \"\"\"Rapport PDF « Le marché de l'occasion » — vue d'ensemble.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(\n content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"auto-ka-rapport-marche.pdf\"'})\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# --- Connexion KA ID (SSO Groupe KA) — AVANT le catch-all du SPA -------------\napp.include_router(auth.router)\napp.include_router(auth.fav_router) # favoris « Mon univers Ka » (hub central)\n\n# --- SEO : rendu serveur des pages publiques, sitemaps, robots.txt -----------\napp.include_router(seo.router)\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\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 # Chemin inconnu : vrai 404 (le HTML embarque quand même le SPA,\n # l'utilisateur voit la page « introuvable » de React)\n return seo.render_404(\"/\" + full_path)\n","structuredPatch":[{"oldStart":113,"oldLines":7,"newStart":113,"newLines":7,"lines":[" price_max: float | None = None,"," km_max: float | None = None,"," q: str | None = None,","- sort: str = \"price_asc\",","+ sort: str = \"recent\","," active: int = 1,"," dedup: int = 1,"," limit: int = Query(60, le=500),"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fa3e9a62-4724-4850-b78f-027a88de090e","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc5woScvgnqdZrJsMa8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RHwnAaF6dWoNHe8vcAySXM","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","old_string":"_SORTS.get(sort, _SORTS['price_asc'])","new_string":"_SORTS.get(sort, _SORTS['recent'])"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":483,"cache_read_input_tokens":40725,"cache_creation":{"ephemeral_5m_input_tokens":483,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"45c892d9-16ea-4f9a-ac78-bc9e44fce0d8"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RHwnAaF6dWoNHe8vcAySXM","type":"tool_result","content":"The file /Users/simon-pierreboucher/auto-ka/autoka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"624f779c-a558-44d3-87c0-cc5a4e72cbb9","timestamp":"2026-08-22T22:51:16.444Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/auto-ka/autoka/web.py","oldString":"_SORTS.get(sort, _SORTS['price_asc'])","newString":"_SORTS.get(sort, _SORTS['recent'])","originalFile":"# -----------------------------------------------------------------------------\n# Auto-Ka — Agrégateur de voitures usagées à vendre (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, FastAPI, HTTPException, Query\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.middleware.gzip import GZipMiddleware\nfrom fastapi.responses import FileResponse\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, ingest, seo\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Auto-Ka API\", version=\"1.0\",\n description=\"Agrégateur de voitures usagées — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n\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 # autres offres du même VIN (dédoublonnage inter-sources — autoka/dedup.py)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except ValueError:\n d[\"dup_sources\"] = []\n return d\n\n\ndef _apply_filters(sql: str, args: list, *, make=None, model=None, body_type=None,\n fuel=None, transmission=None, drivetrain=None, region=None,\n city=None, source=None, year_min=None, year_max=None,\n price_min=None, price_max=None, km_max=None, q=None) -> str:\n if make:\n sql += \" AND make=?\"; args.append(make)\n if model:\n sql += \" AND model LIKE ?\"; args.append(f\"{model}%\")\n if body_type:\n sql += \" AND body_type=?\"; args.append(body_type)\n if fuel:\n if fuel == \"Hybride\": # inclut l'hybride rechargeable\n sql += \" AND fuel IN ('Hybride','Hybride rechargeable')\"\n else:\n sql += \" AND fuel=?\"; args.append(fuel)\n if transmission:\n sql += \" AND transmission=?\"; args.append(transmission)\n if drivetrain:\n sql += \" AND drivetrain=?\"; args.append(drivetrain)\n if region:\n sql += \" AND region=?\"; args.append(region)\n if city:\n sql += \" AND city LIKE ?\"; args.append(f\"%{city}%\")\n if source:\n sql += \" AND source=?\"; args.append(source)\n if year_min is not None:\n sql += \" AND year IS NOT NULL AND year>=?\"; args.append(year_min)\n if year_max is not None:\n sql += \" AND year IS NOT NULL AND year<=?\"; args.append(year_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if km_max is not None:\n sql += \" AND mileage_km IS NOT NULL AND mileage_km<=?\"; args.append(km_max)\n if q:\n sql += (\" AND (title LIKE ? OR make LIKE ? OR model LIKE ?\"\n \" OR dealer_name LIKE ? OR city LIKE ?)\")\n args += [f\"%{q}%\"] * 5\n return sql\n\n\n_SORTS = {\n \"price_asc\": \"price IS NULL, price ASC\",\n \"price_desc\": \"price IS NULL, price DESC\",\n \"km_asc\": \"mileage_km IS NULL, mileage_km ASC\",\n \"year_desc\": \"year IS NULL, year DESC\",\n \"recent\": \"first_seen DESC\",\n}\n\n\n@app.get(\"/api/vehicles\")\ndef list_vehicles(\n kind: str = \"auto\",\n make: str | None = None,\n model: str | None = None,\n body_type: str | None = None,\n fuel: str | None = None,\n transmission: str | None = None,\n drivetrain: str | None = None,\n region: str | None = None,\n city: str | None = None,\n source: str | None = None,\n year_min: int | None = None,\n year_max: int | None = None,\n price_min: float | None = None,\n price_max: float | None = None,\n km_max: float | None = None,\n q: str | None = None,\n sort: str = \"recent\",\n active: int = 1,\n dedup: int = 1,\n limit: int = Query(60, le=500),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM vehicles WHERE 1=1\"\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if dedup: # masquer les doublons inter-sources (même VIN)\n sql += \" AND dup_of IS NULL\"\n if kind and kind != \"tous\":\n sql += \" AND kind=?\"; args.append(kind)\n sql = _apply_filters(sql, args, make=make, model=model, body_type=body_type,\n fuel=fuel, transmission=transmission,\n drivetrain=drivetrain, region=region, city=city,\n source=source, year_min=year_min, year_max=year_max,\n price_min=price_min, price_max=price_max,\n km_max=km_max, q=q)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"vehicles\": rows}\n\n\n@app.get(\"/api/vehicles/{uid}\")\ndef get_vehicle(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM vehicles WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\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 # véhicules similaires : même marque+modèle, autres sources incluses\n if d.get(\"make\") and d.get(\"model\"):\n base_model = d[\"model\"].split()[0]\n d[\"similar\"] = [_row_to_dict(r) for r in con.execute(\n \"SELECT * FROM vehicles WHERE active=1 AND dup_of IS NULL\"\n \" AND make=? AND model LIKE ?\"\n \" AND uid<>? ORDER BY price IS NULL, price ASC LIMIT 6\",\n (d[\"make\"], f\"{base_model}%\", uid)).fetchall()]\n else:\n d[\"similar\"] = []\n con.close()\n if d is None:\n raise HTTPException(404, \"Véhicule introuvable\")\n return d\n\n\n@app.get(\"/api/vehicles/{uid}/recalls\")\ndef vehicle_recalls(uid: str):\n \"\"\"Rappels Transports Canada visant ce véhicule (marque/modèle/année).\"\"\"\n from . import recalls as recalls_mod\n con = db.connect()\n row = con.execute(\"SELECT make, model, year FROM vehicles WHERE uid=?\",\n (uid,)).fetchone()\n if row is None:\n con.close()\n raise HTTPException(404, \"Véhicule introuvable\")\n try:\n items = recalls_mod.for_vehicle(con, row[\"make\"], row[\"model\"],\n row[\"year\"])\n finally:\n con.close()\n return {\"uid\": uid, \"make\": row[\"make\"], \"model\": row[\"model\"],\n \"year\": row[\"year\"], \"count\": len(items), \"recalls\": items}\n\n\n@app.get(\"/api/dealers\")\ndef dealers():\n \"\"\"Coordonnées des concessionnaires suivis (autoka/dealers.py).\"\"\"\n from . import dealers as dealers_mod\n con = db.connect()\n try:\n rows = dealers_mod.list_dealers(con)\n finally:\n con.close()\n return {\"count\": len(rows), \"dealers\": rows}\n\n\n@app.get(\"/api/facets\")\ndef facets(make: str | None = None, kind: str = \"auto\"):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `make` (optionnel) restreint la liste des modèles à cette marque —\n utilisé par le sélecteur « Modèle » dépendant de « Marque ».\n \"\"\"\n con = db.connect()\n kf = \"\" if kind in (\"\", \"tous\") else f\" AND kind='{'moto' if kind=='moto' else 'scooter' if kind=='scooter' else 'auto'}'\"\n kf += \" AND dup_of IS NULL\" # compter chaque véhicule une seule fois\n model_sql = (\"SELECT model, COUNT(*) n FROM vehicles\"\n \" WHERE active=1 AND model<>''\" + kf)\n model_args: list = []\n if make:\n model_sql += \" AND make=?\"\n model_args.append(make)\n out = {\n \"makes\": [dict(r) for r in con.execute(\n \"SELECT make, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \" AND make<>''\"\n \" GROUP BY make ORDER BY n DESC\")],\n \"models\": [dict(r) for r in con.execute(\n model_sql + \" GROUP BY model ORDER BY n DESC LIMIT 80\", model_args)],\n \"body_types\": [r[\"body_type\"] for r in con.execute(\n \"SELECT DISTINCT body_type FROM vehicles WHERE active=1\" + kf + \"\"\n \" AND body_type<>'' ORDER BY body_type\")],\n \"fuels\": [r[\"fuel\"] for r in con.execute(\n \"SELECT DISTINCT fuel FROM vehicles WHERE active=1\" + kf + \" AND fuel<>''\"\n \" ORDER BY fuel\")],\n \"regions\": [dict(r) for r in con.execute(\n \"SELECT region, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \" AND region<>''\"\n \" GROUP BY region ORDER BY n DESC\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, dealer_name, COUNT(*) n FROM vehicles WHERE active=1\" + kf + \"\"\n \" GROUP BY source ORDER BY n DESC\")],\n \"years\": [dict(r) for r in con.execute(\n \"SELECT MIN(year) y_min, MAX(year) y_max FROM vehicles\"\n \" WHERE active=1\" + kf + \" AND year IS NOT NULL\")],\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 vehicles 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@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 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)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu : YYYY-MM-DD)\")\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(\n period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\",\n):\n \"\"\"Rapport PDF estampillé Groupe-KA — 5 modes (SPEC v2) : complet,\n synthese, tendances, repartitions, donnees. Mode inconnu → complet.\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n try:\n dash = statsdash.dashboard(period, from_, to)\n except ValueError:\n raise HTTPException(400, \"Dates invalides (format attendu : YYYY-MM-DD)\")\n mode = mode if mode in kapdf.REPORT_MODES else \"complet\"\n pdf = kapdf.GroupeKAReport(site=KA_SITE, dashboard=dash, mode=mode).build()\n return Response(\n content=pdf, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{kapdf.filename(\"auto-ka\", period, mode)}\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_pdf():\n \"\"\"Rapport PDF « Le marché de l'occasion » — vue d'ensemble.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(\n content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"auto-ka-rapport-marche.pdf\"'})\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# --- Connexion KA ID (SSO Groupe KA) — AVANT le catch-all du SPA -------------\napp.include_router(auth.router)\napp.include_router(auth.fav_router) # favoris « Mon univers Ka » (hub central)\n\n# --- SEO : rendu serveur des pages publiques, sitemaps, robots.txt -----------\napp.include_router(seo.router)\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\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 # Chemin inconnu : vrai 404 (le HTML embarque quand même le SPA,\n # l'utilisateur voit la page « introuvable » de React)\n return seo.render_404(\"/\" + full_path)\n","structuredPatch":[{"oldStart":135,"oldLines":7,"newStart":135,"newLines":7,"lines":[" price_min=price_min, price_max=price_max,"," km_max=km_max, q=q)"," total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]","- sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"","+ sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['recent'])} LIMIT ? OFFSET ?\""," args += [limit, offset]"," rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]"," con.close()"]}],"userModified":false,"replaceAll":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"e650a56d-b1c9-4f9a-b7f4-058dcac5cd00","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc6V68JYdZum1E1gYzd","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":229,"cache_read_input_tokens":41208,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"95e8ecd9-2d50-4704-969a-3520416b3c40"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc6V68JYdZum1E1gYzd","type":"message","role":"assistant","content":[{"type":"text","text":"Modifications faites. Je rebuild le frontend et redéploie."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":229,"cache_read_input_tokens":41208,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"576bf233-395c-4299-b0c9-7822360adde3"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc6V68JYdZum1E1gYzd","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ECgHuNf12LRDoL2bhZTDjZ","name":"Bash","input":{"command":"cd ~/auto-ka/frontend && npm run build 2>&1 | tail -5","description":"Build auto-ka frontend","timeout":300000},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":229,"cache_read_input_tokens":41208,"cache_creation":{"ephemeral_5m_input_tokens":229,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"e32d238b-6063-4b06-b921-cc3b7dba96d4"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ECgHuNf12LRDoL2bhZTDjZ","type":"tool_result","content":"computing gzip size...\ndist/index.html 1.59 kB │ gzip: 0.74 kB\ndist/assets/index-rTlpuohS.css 36.49 kB │ gzip: 7.97 kB\ndist/assets/index-CPjPExv3.js 238.25 kB │ gzip: 74.49 kB\n✓ built in 313ms","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"76fbf451-34c2-4c48-8447-acf90fe4bbf6","timestamp":"2026-08-22T22:51:24.810Z","tool_use_result":{"stdout":"computing gzip size...\ndist/index.html 1.59 kB │ gzip: 0.74 kB\ndist/assets/index-rTlpuohS.css 36.49 kB │ gzip: 7.97 kB\ndist/assets/index-CPjPExv3.js 238.25 kB │ gzip: 74.49 kB\n✓ built in 313ms","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"800e927e-bdea-4c72-9b9d-d2a19d38f791","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc75jDarDXuqGzfStp7","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UR3y9GsaTP39VdCRgNsdEV","name":"Bash","input":{"command":"pm2 list | grep -i auto","description":"Find auto-ka pm2 process name"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":367,"cache_read_input_tokens":41437,"cache_creation":{"ephemeral_5m_input_tokens":367,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"b59859fa-9c43-4d94-9c83-92a0e8d180ee"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UR3y9GsaTP39VdCRgNsdEV","type":"tool_result","content":"│ 6 │ auto-ka-ngrok │ default │ N/A │ fork │ 32452 │ 6D │ 1 │ online │ 0% │ 258.6mb │ simon-p… │ disabled │\n│ 7 │ auto-ka-sync │ default │ N/A │ fork │ 71609 │ 4h │ 4 │ online │ 0% │ 253.3mb │ simon-p… │ disabled │\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 2858 │ 3h │ 32 │ online │ 0% │ 120.3mb │ simon-p… │ disabled │","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"22d97508-52e3-4b85-a700-393f9e9369d6","timestamp":"2026-08-22T22:51:29.218Z","tool_use_result":{"stdout":"│ 6 │ auto-ka-ngrok │ default │ N/A │ fork │ 32452 │ 6D │ 1 │ online │ 0% │ 258.6mb │ simon-p… │ disabled │\n│ 7 │ auto-ka-sync │ default │ N/A │ fork │ 71609 │ 4h │ 4 │ online │ 0% │ 253.3mb │ simon-p… │ disabled │\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 2858 │ 3h │ 32 │ online │ 0% │ 120.3mb │ simon-p… │ disabled │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c0990f73-10d3-4b09-b2e5-6c719bb3602d","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc7QUb3HfWpVYYNiTmh","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0139XULCgf62m2WioFhR3yXq","name":"Bash","input":{"command":"pm2 restart auto-ka-web && sleep 2 && pm2 list | grep auto-ka-web","description":"Restart auto-ka-web via pm2"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":339,"cache_read_input_tokens":41804,"cache_creation":{"ephemeral_5m_input_tokens":339,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"3b6b6281-8fd0-418d-b3ab-919df86e74fc"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0139XULCgf62m2WioFhR3yXq","type":"tool_result","content":"Use --update-env to update environment variables\n[PM2] Applying action restartProcessId on app [auto-ka-web](ids: [ 4 ])\n[PM2] [auto-ka-web](4) ✓\n┌────┬──────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ auto-ka-ngrok │ default │ N/A │ fork │ 32452 │ 6D │ 1 │ online │ 0% │ 258.6mb │ simon-p… │ disabled │\n│ 7 │ auto-ka-sync │ default │ N/A │ fork │ 71609 │ 4h │ 4 │ online │ 0% │ 253.3mb │ simon-p… │ disabled │\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 5380 │ 0s │ 33 │ online │ 0% │ 5.0mb │ simon-p… │ disabled │\n│ 13 │ food-ka-ngrok │ default │ N/A │ fork │ 84943 │ 10D │ 0 │ online │ 0% │ 162.6mb │ simon-p… │ disabled │\n│ 9 │ food-ka-sync │ default │ N/A │ fork │ 71623 │ 4h │ 6 │ online │ 0% │ 187.5mb │ simon-p… │ disabled │\n│ 11 │ food-ka-web │ default │ N/A │ fork │ 72240 │ 65m │ 27 │ online │ 0% │ 185.0mb │ simon-p… │ disabled │\n│ 3 │ hfchart-ngrok │ default │ N/A │ fork │ 75887 │ 12D │ 0 │ online │ 0% │ 76.1mb │ simon-p… │ disabled │\n│ 0 │ hfchart-web │ default │ N/A │ fork │ 86164 │ 12D │ 2 │ online │ 0% │ 25.8mb │ simon-p… │ disabled │\n└────┴──────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 5380 │ 2s │ 33 │ online │ 0% │ 63.4mb │ simon-p… │ disabled │","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"5351f6bf-03ff-41ed-aded-12840ad47607","timestamp":"2026-08-22T22:51:36.848Z","tool_use_result":{"stdout":"Use --update-env to update environment variables\n[PM2] Applying action restartProcessId on app [auto-ka-web](ids: [ 4 ])\n[PM2] [auto-ka-web](4) ✓\n┌────┬──────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ auto-ka-ngrok │ default │ N/A │ fork │ 32452 │ 6D │ 1 │ online │ 0% │ 258.6mb │ simon-p… │ disabled │\n│ 7 │ auto-ka-sync │ default │ N/A │ fork │ 71609 │ 4h │ 4 │ online │ 0% │ 253.3mb │ simon-p… │ disabled │\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 5380 │ 0s │ 33 │ online │ 0% │ 5.0mb │ simon-p… │ disabled │\n│ 13 │ food-ka-ngrok │ default │ N/A │ fork │ 84943 │ 10D │ 0 │ online │ 0% │ 162.6mb │ simon-p… │ disabled │\n│ 9 │ food-ka-sync │ default │ N/A │ fork │ 71623 │ 4h │ 6 │ online │ 0% │ 187.5mb │ simon-p… │ disabled │\n│ 11 │ food-ka-web │ default │ N/A │ fork │ 72240 │ 65m │ 27 │ online │ 0% │ 185.0mb │ simon-p… │ disabled │\n│ 3 │ hfchart-ngrok │ default │ N/A │ fork │ 75887 │ 12D │ 0 │ online │ 0% │ 76.1mb │ simon-p… │ disabled │\n│ 0 │ hfchart-web │ default │ N/A │ fork │ 86164 │ 12D │ 2 │ online │ 0% │ 25.8mb │ simon-p… │ disabled │\n└────┴──────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n│ 4 │ auto-ka-web │ default │ N/A │ fork │ 5380 │ 2s │ 33 │ online │ 0% │ 63.4mb │ simon-p… │ disabled │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"ae964601-ab91-490c-b5e8-3ca5487b933b","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc7yvFEYQdzirhuAETq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SFG9kwCLMRZPHt2mKfcSSb","name":"Bash","input":{"command":"sleep 3; PORT=$(pm2 describe auto-ka-web 2>/dev/null | grep -o 'port [0-9]*' | head -1); curl -s \"http://127.0.0.1:8100/api/vehicles?limit=3\" -o /dev/null -w \"%{http_code}\\n\" || true; lsof -nP -iTCP -sTCP:LISTEN -a -p 5380 2>/dev/null | tail -3","description":"Healthcheck auto-ka-web port"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1177,"cache_read_input_tokens":42143,"cache_creation":{"ephemeral_5m_input_tokens":1177,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"20175e29-4cf9-4896-9d6d-018a43aff4ef"}} {"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bfb8ee0hu","tool_use_id":"toolu_01SFG9kwCLMRZPHt2mKfcSSb","description":"Healthcheck auto-ka-web port","task_type":"local_bash","uuid":"a0c0d6bc-8bfc-433a-916d-0c375c55fc63","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SFG9kwCLMRZPHt2mKfcSSb","type":"tool_result","content":"000\nCOMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME\nPython 5380 simon-pierreboucher 7u IPv4 0xcb3a3329abcda56 0t0 TCP *:8095 (LISTEN)","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"3c2b77c7-4b92-4af0-96ee-3235570e4a2d","timestamp":"2026-08-22T22:51:46.254Z","tool_use_result":{"stdout":"000\nCOMMAND PID USER FD TYPE DEVICE SIZE/OFF NODE NAME\nPython 5380 simon-pierreboucher 7u IPv4 0xcb3a3329abcda56 0t0 TCP *:8095 (LISTEN)","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"0e73245b-1488-4e46-ac69-528a3a78d43d","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bfb8ee0hu","tool_use_id":"toolu_01SFG9kwCLMRZPHt2mKfcSSb","status":"completed","output_file":"","summary":"Healthcheck auto-ka-web port","uuid":"1b5b9bd6-486d-4452-8813-e9bf63c8b977","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc8fNoq71LqmPw9agME","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QhH9BHrNnYrUnPRBzK9k44","name":"Bash","input":{"command":"curl -s \"http://127.0.0.1:8095/api/vehicles?limit=3\" | python3 -c \"import json,sys; d=json.load(sys.stdin); print(d['total']); [print(v['first_seen'], v.get('price')) for v in d['vehicles']]\"","description":"Verify default sort is now first_seen DESC"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":330,"cache_read_input_tokens":43320,"cache_creation":{"ephemeral_5m_input_tokens":330,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"142c94ae-0a0e-4092-ac01-c1f1247d9ccf"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QhH9BHrNnYrUnPRBzK9k44","type":"tool_result","content":"37884\n1787434140.006054 3990.0\n1787434140.006054 4490.0\n1787434140.006054 5990.0","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"4c7f86ec-6376-409e-80b6-dfadac000f24","timestamp":"2026-08-22T22:51:53.499Z","tool_use_result":{"stdout":"37884\n1787434140.006054 3990.0\n1787434140.006054 4490.0\n1787434140.006054 5990.0","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2aef954c-2144-47d6-b123-3be59a157dd7","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9CMdb9Ducy5ySirpX","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":220,"cache_read_input_tokens":43650,"cache_creation":{"ephemeral_5m_input_tokens":220,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"fd968eb3-0ee8-4ba4-a4ba-197e3112a184"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9CMdb9Ducy5ySirpX","type":"message","role":"assistant","content":[{"type":"text","text":"L'API répond et trie maintenant par `first_seen DESC`. Vérification rapide du site, puis commit + push."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":220,"cache_read_input_tokens":43650,"cache_creation":{"ephemeral_5m_input_tokens":220,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"a93f130e-b175-4eaf-8012-ee3dd8b2312d"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9CMdb9Ducy5ySirpX","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FfVTWCkDykYjNXuTX3JNxc","name":"Bash","input":{"command":"curl -s -o /dev/null -w \"%{http_code}\\n\" http://127.0.0.1:8095/ && curl -s http://127.0.0.1:8095/ | grep -o 'index-[^\"]*\\.js' | head -1","description":"Check homepage serves new build"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":220,"cache_read_input_tokens":43650,"cache_creation":{"ephemeral_5m_input_tokens":220,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"44ebff1a-bf73-40c5-9983-a4a6c4e1265d"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FfVTWCkDykYjNXuTX3JNxc","type":"tool_result","content":"200\nindex-CPjPExv3.js","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"be4daf6b-bfc0-4476-a22d-b1a43f2829c9","timestamp":"2026-08-22T22:52:01.614Z","tool_use_result":{"stdout":"200\nindex-CPjPExv3.js","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"87694c25-3e8e-4477-adf8-2b78381dbc3b","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9oBtW7K6hugAZ9DTZ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISrQIKpwEIERgCKkC4nlPhQ/ES/jH0JsHPNNsEpviIw5QuGvX9mMjBMeN3lzjKWU782Cxe7gIVT3HFgUAqpBnO57Lm0171/uyMaxmnMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chAqK78ZzsiVUzI5xDv77u/SiAEBqAGW0KjUBrABAhIMC0+ldrj/G/F0xedDGgxBcFE8p6q8ROfUanwiMFcXfoHTvU8Eihbh15zqUXwQHaHGS4CQaJ1whiJPFdlGUnNDjwhyPkRpyZcdNy6WWioz6NnhUeByevqXT1IH2FaswtcmfmZ2bWDYJMuJ1ipzPrxCtHo4NQMOpm09qhh4c6/MVEh2GAE="}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":484,"cache_read_input_tokens":43870,"cache_creation":{"ephemeral_5m_input_tokens":484,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"983afe25-7a34-460b-8fc4-561df3fabe7f"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9oBtW7K6hugAZ9DTZ","type":"message","role":"assistant","content":[{"type":"text","text":"Le site sert le nouveau bundle. Je committe et pousse."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":484,"cache_read_input_tokens":43870,"cache_creation":{"ephemeral_5m_input_tokens":484,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"3b23a68b-ed59-4928-bb74-9a8f33256600"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJc9oBtW7K6hugAZ9DTZ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TBn933CK2ynBWBJMKG9WSN","name":"Bash","input":{"command":"cd ~/auto-ka && git add frontend/src/pages/Home.tsx autoka/web.py && git commit -m \"$(cat <<'EOF'\ntri par défaut : arrivages récents (first_seen DESC) au lieu du prix croissant\n\nCo-Authored-By: Claude Opus 4.7 \nEOF\n)\" && git push origin main","description":"Commit and push sort default change"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":484,"cache_read_input_tokens":43870,"cache_creation":{"ephemeral_5m_input_tokens":484,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"ad5bc4f7-0722-4994-80ff-83e3e33fea8c"}} {"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TBn933CK2ynBWBJMKG9WSN","type":"tool_result","content":"[main f692a48] tri par défaut : arrivages récents (first_seen DESC) au lieu du prix croissant\n 2 files changed, 5 insertions(+), 5 deletions(-)\nTo gitsrv:srv/git/auto-ka.git\n 891fe5e..f692a48 main -> main","is_error":false}]},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"f49a9ffb-e8b2-4c44-8479-f8a4447bea24","timestamp":"2026-08-22T22:52:09.032Z","tool_use_result":{"stdout":"[main f692a48] tri par défaut : arrivages récents (first_seen DESC) au lieu du prix croissant\n 2 files changed, 5 insertions(+), 5 deletions(-)\nTo gitsrv:srv/git/auto-ka.git\n 891fe5e..f692a48 main -> main","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}} {"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"34e222b8-e250-47d6-9ad9-3cd7d45db94b","session_id":"dec48b13-715b-4291-9f90-d1d489deebed"}} {"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJcALtNiCy5PjBSQfwpx","type":"message","role":"assistant","content":[{"type":"text","text":"Fait. Les annonces les plus récentes s'affichent maintenant en premier par défaut sur auto-ka :\n\n- **Frontend** (`frontend/src/pages/Home.tsx`) : tri par défaut passé de « Prix croissant » à « Arrivages récents », qui est aussi remonté en tête du menu Trier.\n- **Backend** (`autoka/web.py`) : défaut de l'API `/api/vehicles` passé à `recent` (`first_seen DESC`), y compris le fallback si un tri inconnu est demandé.\n\nBuild refait, `pm2 restart auto-ka-web` OK (port 8095 répond, nouveau bundle servi, API confirmée triée par date d'arrivée), et commit `f692a48` poussé sur origin main. L'usager peut toujours re-trier par prix via le menu."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":352,"cache_read_input_tokens":44354,"cache_creation":{"ephemeral_5m_input_tokens":352,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"dec48b13-715b-4291-9f90-d1d489deebed","uuid":"1a63a556-557b-493d-a5c5-36eb9026a9be"}} {"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":120587,"duration_api_ms":113178,"num_turns":20,"result":"Fait. Les annonces les plus récentes s'affichent maintenant en premier par défaut sur auto-ka :\n\n- **Frontend** (`frontend/src/pages/Home.tsx`) : tri par défaut passé de « Prix croissant » à « Arrivages récents », qui est aussi remonté en tête du menu Trier.\n- **Backend** (`autoka/web.py`) : défaut de l'API `/api/vehicles` passé à `recent` (`first_seen DESC`), y compris le fallback si un tri inconnu est demandé.\n\nBuild refait, `pm2 restart auto-ka-web` OK (port 8095 répond, nouveau bundle servi, API confirmée triée par date d'arrivée), et commit `f692a48` poussé sur origin main. L'usager peut toujours re-trier par prix via le menu.","stop_reason":"end_turn","session_id":"dec48b13-715b-4291-9f90-d1d489deebed","total_cost_usd":0.4196497,"usage":{"input_tokens":34,"cache_creation_input_tokens":44706,"cache_read_input_tokens":636034,"output_tokens":4043,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":44706},"inference_geo":"","iterations":[{"input_tokens":2,"output_tokens":285,"cache_read_input_tokens":44354,"cache_creation_input_tokens":352,"cache_creation":{"ephemeral_5m_input_tokens":352,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-haiku-4-5-20251001":{"inputTokens":370,"outputTokens":15,"cacheReadInputTokens":0,"cacheCreationInputTokens":0,"webSearchRequests":0,"costUSD":0.000445,"contextWindow":200000,"maxOutputTokens":32000},"claude-fable-5":{"inputTokens":34,"outputTokens":4043,"cacheReadInputTokens":636034,"cacheCreationInputTokens":44706,"webSearchRequests":0,"costUSD":0.4192047,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"8c270521-c0cf-4d9f-bc82-3b9f9eac5412"}} {"type":"status","state":"idle"}