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\"prix\";\nfrontend/src/search/MapSearch.tsx:205: sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\nfrontend/src/search/MapSearch.tsx:253: if (v && k !== \"sort\") f[k] = String(v);\nfrontend/src/search/MapSearch.tsx:282: const { bboxStr, poly, sort, page } = qyRef.current;\nfrontend/src/search/MapSearch.tsx:283: const pKey = `${filtersKey}|${poly ?? bboxStr ?? \"\"}|${sort}`;\nfrontend/src/search/MapSearch.tsx:299: sort, page, page_size: PAGE_SIZE,\nfrontend/src/search/MapSearch.tsx:345: set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\nfrontend/src/search/MapSearch.tsx:350: }, [qy.sort, qy.page, qy.poly, searchOnMove]);\nfrontend/src/search/MapSearch.tsx:634: <label className=\"ms-sort\">\nfrontend/src/search/MapSearch.tsx:637: value={qy.sort}\nfrontend/src/search/MapSearch.tsx:639: ...q, page: 1, sort: e.target.value as SearchSort,\nfrontend/src/search/MapSearch.tsx:642: {SORT_CHOICES.map((s) => (\nfrontend/src/api.ts:275: sort?: string; // \"deal\" affaires | \"ka\" KA Score\nfrontend/src/api.ts:293:export type SearchSort = \"prix\" | \"prix_desc\" | \"recent\" | \"deal\" | \"ka\";\nfrontend/src/api.ts:295:export interface SearchQuery extends Omit<ListingFilters, \"sort\"> {\nfrontend/src/api.ts:298: sort?: SearchSort;\nfrontend/src/api.ts:308: sort: SearchSort;\nfrontend/src/styles.css:649: .f-search input, .f-native, .f-ctl select, .ms-sort select { font-size: 16px; }\nfrontend/src/styles.css:1669:.ms-sort { display: inline-flex; align-items: center; gap: 6px; font-size: 12px; color: var(--ink-3); }\nfrontend/src/styles.css:1670:.ms-sort select {\nfrontend/src/ka/stats/SPEC.md:162:- **sorti-ka** : événements à venir/passés par catégorie/ville, gratuits vs\nfrontend/src/pages/Home.tsx:108: sort: deal === \"sous\" ? \"deal\" : \"\", // bonnes affaires d'abord\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/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: <th key={c} onClick={() => 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 ? \"▲\" : \"▼\") : \"↕\"}"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"3fbd6ceb-a904-49fd-ae0d-ff302933d454","timestamp":"2026-08-22T20:14:00.567Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"frontend/src/pages/Gestion.tsx:56: .sort((a, b) => a.name.localeCompare(b.name, \"fr\")),\nfrontend/src/search/MapSearch.tsx:24:// sorti-ka) : voir ~/apps/ka-maps/docs/SEARCH-SYNC.md.\nfrontend/src/search/MapSearch.tsx:42: Listing, ListingFilters, SearchPoint, SearchResponse, SearchSort,\nfrontend/src/search/MapSearch.tsx:57:const SORT_CHOICES: { key: SearchSort; label: string }[] = [\nfrontend/src/search/MapSearch.tsx:188: sort: SearchSort;\nfrontend/src/search/MapSearch.tsx:200: const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";\nfrontend/src/search/MapSearch.tsx:205: sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\nfrontend/src/search/MapSearch.tsx:253: if (v && k !== \"sort\") f[k] = String(v);\nfrontend/src/search/MapSearch.tsx:282: const { bboxStr, poly, sort, page } = qyRef.current;\nfrontend/src/search/MapSearch.tsx:283: const pKey = `${filtersKey}|${poly ?? bboxStr ?? \"\"}|${sort}`;\nfrontend/src/search/MapSearch.tsx:299: sort, page, page_size: PAGE_SIZE,\nfrontend/src/search/MapSearch.tsx:345: set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\nfrontend/src/search/MapSearch.tsx:350: }, [qy.sort, qy.page, qy.poly, searchOnMove]);\nfrontend/src/search/MapSearch.tsx:634: <label className=\"ms-sort\">\nfrontend/src/search/MapSearch.tsx:637: value={qy.sort}\nfrontend/src/search/MapSearch.tsx:639: ...q, page: 1, sort: e.target.value as SearchSort,\nfrontend/src/search/MapSearch.tsx:642: {SORT_CHOICES.map((s) => (\nfrontend/src/api.ts:275: sort?: string; // \"deal\" affaires | \"ka\" KA Score\nfrontend/src/api.ts:293:export type SearchSort = \"prix\" | \"prix_desc\" | \"recent\" | \"deal\" | \"ka\";\nfrontend/src/api.ts:295:export interface SearchQuery extends Omit<ListingFilters, \"sort\"> {\nfrontend/src/api.ts:298: sort?: SearchSort;\nfrontend/src/api.ts:308: sort: SearchSort;\nfrontend/src/styles.css:649: .f-search input, .f-native, .f-ctl select, .ms-sort select { font-size: 16px; }\nfrontend/src/styles.css:1669:.ms-sort { display: inline-flex; align-items: center; gap: 6px; font-size: 12px; color: var(--ink-3); }\nfrontend/src/styles.css:1670:.ms-sort select {\nfrontend/src/ka/stats/SPEC.md:162:- **sorti-ka** : événements à venir/passés par catégorie/ville, gratuits vs\nfrontend/src/pages/Home.tsx:108: sort: deal === \"sous\" ? \"deal\" : \"\", // bonnes affaires d'abord\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/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: <th key={c} onClick={() => 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":45}}}15{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"af9770ac-0c71-4748-925a-5b0cb022aedb","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}16{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ6ueqpYhsE4TJ9cJbR","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":3381,"cache_read_input_tokens":37982,"cache_creation":{"ephemeral_5m_input_tokens":3381,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"05a96dde-4035-4841-802a-570d4257388d"}}17{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ6ueqpYhsE4TJ9cJbR","type":"message","role":"assistant","content":[{"type":"text","text":"Il y a deux endroits : l'API (`louka/web.py`) et le front (MapSearch + Home). Je lis les sections concernées."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3381,"cache_read_input_tokens":37982,"cache_creation":{"ephemeral_5m_input_tokens":3381,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"c6cb25a0-15fa-40e5-852f-93cdf7f0bebf"}}18{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ6ueqpYhsE4TJ9cJbR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TqF7idNwTwVYCw4kpi5uZK","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","offset":80,"limit":80},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3381,"cache_read_input_tokens":37982,"cache_creation":{"ephemeral_5m_input_tokens":3381,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"be45c49b-5f0c-4fe8-9407-27cb0f30150d"}}19{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TqF7idNwTwVYCw4kpi5uZK","type":"tool_result","content":"80\t unit_type: str | None = None,\n81\t source: str | None = None,\n82\t price_max: float | None = None,\n83\t price_min: float | None = None,\n84\t pets: str | None = None, # \"oui\" -> oui OU conditions\n85\t furnished: int | None = None, # 1 / 0\n86\t available_by: str | None = None, # ISO : dispo maintenant ou avant date\n87\t area_min: float | None = None, # superficie minimale (pi²)\n88\t q: str | None = None,\n89\t deal: str | None = None, # sous | marche | sur (fair value)\n90\t kascore_min: float | None = None, # KA Score global minimal\n91\t sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n92\t active: int = 1,\n93\t limit: int = Query(500, le=2000),\n94\t offset: int = 0,\n95\t):\n96\t con = db.connect()\n97\t sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n98\t \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n99\t \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n100\t \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n101\t \" WHERE dup_of IS NULL\") # doublons masqués\n102\t args: list = []\n103\t if active in (0, 1):\n104\t sql += \" AND active=?\"; args.append(active)\n105\t if active == 1: # quarantaine qualité : jamais dans les résultats publics\n106\t sql += \" AND published=1\"\n107\t if city:\n108\t sql += \" AND city=?\"; args.append(city)\n109\t if sector:\n110\t sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n111\t if unit_type:\n112\t sql += \" AND unit_type=?\"; args.append(unit_type)\n113\t if source:\n114\t sql += \" AND source=?\"; args.append(source)\n115\t if price_max is not None:\n116\t sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n117\t if price_min is not None:\n118\t sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n119\t if pets == \"oui\":\n120\t sql += \" AND pets IN ('oui','conditions')\"\n121\t elif pets:\n122\t sql += \" AND pets=?\"; args.append(pets)\n123\t if furnished in (0, 1):\n124\t sql += \" AND furnished=?\"; args.append(furnished)\n125\t if available_by:\n126\t # « now » trié après les dates ISO : comparaison explicite\n127\t sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n128\t \" AND availability_date<=?))\"\n129\t args.append(available_by)\n130\t if area_min is not None:\n131\t sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n132\t if q:\n133\t sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n134\t args += [f\"%{q}%\"] * 3\n135\t if deal in (\"sous\", \"marche\", \"sur\"):\n136\t sql += \" AND fv.verdict=?\"; args.append(deal)\n137\t if kascore_min is not None:\n138\t sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n139\t args.append(kascore_min)\n140\t total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n141\t if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n142\t sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n143\t \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n144\t elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n145\t sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n146\t \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n147\t else:\n148\t sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n149\t args += [limit, offset]\n150\t rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n151\t con.close()\n152\t return {\"total\": total, \"count\": len(rows), \"listings\": rows}\n153\t\n154\t\n155\t@app.get(\"/api/listings.geojson\")\n156\tdef listings_geojson(\n157\t city: str | None = None,\n158\t sector: str | None = None,\n159\t unit_type: str | None = None,"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"f50b8b65-5174-4da1-8a7f-40af330d13b6","timestamp":"2026-08-22T20:14:10.665Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","content":" unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n else:\n sql += \" ORDER BY price IS NULL, 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), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,","numLines":80,"startLine":80,"totalLines":785}}}}20{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ6ueqpYhsE4TJ9cJbR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012hskQxbFYvVDMhVkHuzgMY","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","offset":50,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3381,"cache_read_input_tokens":37982,"cache_creation":{"ephemeral_5m_input_tokens":3381,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"b959b94e-caaa-4137-a5e0-f6f755a37318"}}21{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012hskQxbFYvVDMhVkHuzgMY","type":"tool_result","content":"50\timport { louKaMapTheme } from \"../kamaps/theme\";\n51\timport { MAPBOX_TOKEN } from \"../kamaps/config\";\n52\timport { seenUids } from \"./seen\";\n53\t\n54\tconst PAGE_SIZE = 20; // annonces par page (vue carte)\n55\tconst QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };\n56\t\n57\tconst SORT_CHOICES: { key: SearchSort; label: string }[] = [\n58\t { key: \"prix\", label: \"Prix croissant\" },\n59\t { key: \"prix_desc\", label: \"Prix décroissant\" },\n60\t { key: \"recent\", label: \"Plus récentes\" },\n61\t { key: \"deal\", label: \"Meilleures affaires\" },\n62\t { key: \"ka\", label: \"Meilleur KA Score\" },\n63\t];\n64\t\n65\t/** Points compacts → modèle canonique Ka Maps, avec écartement léger des\n66\t * coordonnées EXACTEMENT identiques (unités d'un même immeuble) pour que\n67\t * chaque pastille reste cliquable au zoom maximal (spiderfy discret). */\n68\tfunction pointsToProperties(points: SearchPoint[]): MapProperty[] {\n69\t const byCoord = new Map<string, number>();\n70\t const out: MapProperty[] = [];\n71\t for (const [uid, lng, lat, price, fv] of points) {\n72\t const key = `${lng},${lat}`;\n73\t const n = byCoord.get(key) ?? 0;\n74\t byCoord.set(key, n + 1);"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"f3d8abec-78ed-4f3b-95af-7c59747aab24","timestamp":"2026-08-22T20:14:11.488Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","content":"import { louKaMapTheme } from \"../kamaps/theme\";\nimport { MAPBOX_TOKEN } from \"../kamaps/config\";\nimport { seenUids } from \"./seen\";\n\nconst PAGE_SIZE = 20; // annonces par page (vue carte)\nconst QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };\n\nconst SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"deal\", label: \"Meilleures affaires\" },\n { key: \"ka\", label: \"Meilleur KA Score\" },\n];\n\n/** Points compacts → modèle canonique Ka Maps, avec écartement léger des\n * coordonnées EXACTEMENT identiques (unités d'un même immeuble) pour que\n * chaque pastille reste cliquable au zoom maximal (spiderfy discret). */\nfunction pointsToProperties(points: SearchPoint[]): MapProperty[] {\n const byCoord = new Map<string, number>();\n const out: MapProperty[] = [];\n for (const [uid, lng, lat, price, fv] of points) {\n const key = `${lng},${lat}`;\n const n = byCoord.get(key) ?? 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\"carte\" : \"liste\");\n94\t useEffect(() => {\n95\t // suivre l'URL quand on navigue via le menu (« Carte » -> /?view=carte)\n96\t setView(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n97\t }, [params]);\n98\t\n99\t const qDebounced = useDebounced(q);\n100\t const filters: ListingFilters = useMemo(() => {\n101\t const d = DISPO_CHOICES.find((c) => c.key === dispo);\n102\t return {\n103\t q: qDebounced, city, sector, source, unit_type: unitType,\n104\t price_min: priceMin, price_max: priceMax,\n105\t pets, furnished, area_min: areaMin,\n106\t available_by: d?.days != null ? isoInDays(d.days) : \"\",\n107\t deal, kascore_min: kaMin,\n108\t sort: deal === \"sous\" ? \"deal\" : \"\", // bonnes affaires d'abord\n109\t };\n110\t }, [qDebounced, city, sector, source, unitType, priceMin, priceMax, pets, furnished, areaMin, dispo, deal, kaMin]);\n111\t\n112\t // compteur partagé de la vue carte (remonté par MapSearch : liste = carte)\n113\t const [mapTotal, setMapTotal] = useState<number | null>(null);\n114\t\n115\t useEffect(() => {\n116\t fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {});\n117\t fetchFacets().then(setFacets).catch(() => {});\n118\t fetchStats().then(setStats).catch(() => {});\n119\t }, []);\n120\t\n121\t // Géolocalisation d'accueil : à l'arrivée sur le site (URL nue, une fois\n122\t // par session), demander la position pour afficher directement les\n123\t // logements autour de l'utilisateur — vue Carte centrée sur lui.\n124\t // Lien partagé (filtres/caméra dans l'URL) : on respecte le lien, pas de\n125\t // demande. Refus : silencieux, l'accueil classique reste tel quel.\n126\t useEffect(() => {\n127\t const url = new URL(window.location.href);\n128\t const hasState = [...url.searchParams.keys()].length > 0;\n129\t if (hasState) return;\n130\t if (!(\"geolocation\" in navigator)) return;\n131\t if (sessionStorage.getItem(\"louka_geo_session\")) return;\n132\t sessionStorage.setItem(\"louka_geo_session\", \"1\");\n133\t navigator.geolocation.getCurrentPosition(\n134\t (pos) => {\n135\t const { latitude, longitude } = pos.coords;\n136\t // hors Québec (voyage, VPN) : ne pas centrer sur l'océan\n137\t if (latitude < 44 || latitude > 63 || longitude < -80 || longitude > -57) return;\n138\t const u = new URL(window.location.href);\n139\t u.searchParams.set(\"lat\", latitude.toFixed(5));"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"a92e8e29-4ac2-4f9f-8082-591f002b876a","timestamp":"2026-08-22T20:14:21.474Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Home.tsx","content":" if (!sheetOpen) return () => { document.body.style.overflow = \"\"; };\n const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n window.addEventListener(\"keydown\", onKey);\n return () => {\n document.body.style.overflow = \"\";\n window.removeEventListener(\"keydown\", onKey);\n };\n }, [sheetOpen]);\n const activeFilters = [q, city, sector, source, priceMin, priceMax, unitType,\n dispo, pets, furnished, areaMin, deal, kaMin].filter(Boolean).length;\n const advCount = [dispo, pets, furnished, areaMin, source, kaMin].filter(Boolean).length;\n // vue liste ou carte (mémorisée dans l'URL : /?view=carte)\n const [view, setView] = useState<\"liste\" | \"carte\">(\n params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n useEffect(() => {\n // suivre l'URL quand on navigue via le menu (« Carte » -> /?view=carte)\n setView(params.get(\"view\") === \"carte\" ? \"carte\" : \"liste\");\n }, [params]);\n\n const qDebounced = useDebounced(q);\n const filters: ListingFilters = useMemo(() => {\n const d = DISPO_CHOICES.find((c) => c.key === dispo);\n return {\n q: qDebounced, city, sector, source, unit_type: unitType,\n price_min: priceMin, price_max: priceMax,\n pets, furnished, area_min: areaMin,\n available_by: d?.days != null ? isoInDays(d.days) : \"\",\n deal, kascore_min: kaMin,\n sort: deal === \"sous\" ? \"deal\" : \"\", // bonnes affaires d'abord\n };\n }, [qDebounced, city, sector, source, unitType, priceMin, priceMax, pets, furnished, areaMin, dispo, deal, kaMin]);\n\n // compteur partagé de la vue carte (remonté par MapSearch : liste = carte)\n const [mapTotal, setMapTotal] = useState<number | null>(null);\n\n useEffect(() => {\n fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {});\n fetchFacets().then(setFacets).catch(() => {});\n fetchStats().then(setStats).catch(() => {});\n }, []);\n\n // Géolocalisation d'accueil : à l'arrivée sur le site (URL nue, une fois\n // par session), demander la position pour afficher directement les\n // logements autour de l'utilisateur — vue Carte centrée sur lui.\n // Lien partagé (filtres/caméra dans l'URL) : on respecte le lien, pas de\n // demande. Refus : silencieux, l'accueil classique reste tel quel.\n useEffect(() => {\n const url = new URL(window.location.href);\n const hasState = [...url.searchParams.keys()].length > 0;\n if (hasState) return;\n if (!(\"geolocation\" in navigator)) return;\n if (sessionStorage.getItem(\"louka_geo_session\")) return;\n sessionStorage.setItem(\"louka_geo_session\", \"1\");\n navigator.geolocation.getCurrentPosition(\n (pos) => {\n const { latitude, longitude } = pos.coords;\n // hors Québec (voyage, VPN) : ne pas centrer sur l'océan\n if (latitude < 44 || latitude > 63 || longitude < -80 || longitude > -57) return;\n const u = new URL(window.location.href);\n u.searchParams.set(\"lat\", latitude.toFixed(5));","numLines":60,"startLine":80,"totalLines":611}}}}26{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ7iWQ3YQ2z1kFL6tLj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_014cL2Wb2mpfnmj9n55NDdc8","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","offset":185,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2916,"cache_read_input_tokens":41363,"cache_creation":{"ephemeral_5m_input_tokens":2916,"ephemeral_1h_input_tokens":0},"output_tokens":6,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"bf9d1ddc-4a32-4eb1-b620-0c9994821080"}}27{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014cL2Wb2mpfnmj9n55NDdc8","type":"tool_result","content":"185\tinterface Query {\n186\t bboxStr: string | null; // zone visible (gestes utilisateur uniquement)\n187\t poly: string | null; // zone dessinée (prime sur la zone visible)\n188\t sort: SearchSort;\n189\t page: number;\n190\t}\n191\t\n192\texport default function MapSearch({ filters, onTotal }: MapSearchProps) {\n193\t const initialParams = useMemo(\n194\t () => new URLSearchParams(window.location.search), []);\n195\t const initialCamera = useMemo(\n196\t () => cameraFromParams(initialParams), [initialParams]);\n197\t\n198\t // --- état de recherche partagé (la « seule vérité ») ---\n199\t const [qy, setQy] = useState<Query>(() => {\n200\t const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";\n201\t const p = Number(initialParams.get(\"page\"));\n202\t return {\n203\t bboxStr: null, // posé au premier geste ou « zone » restaurée\n204\t poly: initialParams.get(\"zone\"),\n205\t sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\n206\t page: Number.isFinite(p) && p >= 1 ? Math.floor(p) : 1,\n207\t };\n208\t });\n209\t const [searchOnMove, setSearchOnMove] = useState(\n210\t initialParams.get(\"move\") !== \"0\");\n211\t const [dirty, setDirty] = useState(false); // zone divergée (mode manuel)\n212\t const [userLocked, setUserLocked] = useState(initialCamera !== null);\n213\t const [drawing, setDrawing] = useState(false);\n214\t"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"fbc1bde7-fed5-4cda-a4cb-047c0caa3e67","timestamp":"2026-08-22T20:14:21.903Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","content":"interface Query {\n bboxStr: string | null; // zone visible (gestes utilisateur uniquement)\n poly: string | null; // zone dessinée (prime sur la zone visible)\n sort: SearchSort;\n page: number;\n}\n\nexport default function MapSearch({ filters, onTotal }: MapSearchProps) {\n const initialParams = useMemo(\n () => new URLSearchParams(window.location.search), []);\n const initialCamera = useMemo(\n () => cameraFromParams(initialParams), [initialParams]);\n\n // --- état de recherche partagé (la « seule vérité ») ---\n const [qy, setQy] = useState<Query>(() => {\n const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\n page: Number.isFinite(p) && p >= 1 ? Math.floor(p) : 1,\n };\n });\n const [searchOnMove, setSearchOnMove] = useState(\n initialParams.get(\"move\") !== \"0\");\n const [dirty, setDirty] = useState(false); // zone divergée (mode manuel)\n const [userLocked, setUserLocked] = useState(initialCamera !== null);\n const [drawing, setDrawing] = useState(false);\n","numLines":30,"startLine":185,"totalLines":864}}}}28{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c1f6d427-c540-4646-b831-aaf37db8ce60","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}29{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","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":2591,"cache_read_input_tokens":44279,"cache_creation":{"ephemeral_5m_input_tokens":2591,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"15b7581f-77e7-471e-8e6b-a5ff494ec937"}}30{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","type":"message","role":"assistant","content":[{"type":"text","text":"Je vois le tri par défaut « prix croissant » à trois endroits : l'endpoint `/api/listings`, l'endpoint `/api/search` et le front (MapSearch). Je regarde les derniers bouts avant de modifier."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2591,"cache_read_input_tokens":44279,"cache_creation":{"ephemeral_5m_input_tokens":2591,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"5ba39730-d0da-4125-902b-c9834c3fff86"}}31{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0148S4B4BrwDau9NdR4CJq92","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","offset":225,"limit":25},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2591,"cache_read_input_tokens":44279,"cache_creation":{"ephemeral_5m_input_tokens":2591,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"b016c240-58fd-41f4-b624-91488c0d2223"}}32{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0148S4B4BrwDau9NdR4CJq92","type":"tool_result","content":"225\t\n226\t total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n227\t # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n228\t # annonces filtrées invisibles sur la carte (affordance « sans position »).\n229\t sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n230\t args_all = list(args)\n231\t if bbox:\n232\t sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n233\t del args_all[0:4]\n234\t total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n235\t\n236\t sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n237\t args.append(limit)\n238\t\n239\t features = []\n240\t for r in con.execute(sql, args).fetchall():\n241\t # galerie nettoyée si auditée (même vide : les images brutes sont\n242\t # alors toutes mortes/placeholder — le frontend affiche le visuel\n243\t # de secours Lou-Ka plutôt qu'une image cassée)\n244\t images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n245\t else r[\"images\"]) or \"[]\")\n246\t features.append({\n247\t \"type\": \"Feature\",\n248\t \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n249\t \"properties\": {"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"f2459af5-b8c5-43b6-bd87-72ea93d23885","timestamp":"2026-08-22T20:14:38.753Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","content":"\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {","numLines":25,"startLine":225,"totalLines":785}}}}33{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0139tqrwv7cLRsjemNyHx59o","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","offset":320,"limit":30},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2591,"cache_read_input_tokens":44279,"cache_creation":{"ephemeral_5m_input_tokens":2591,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"d9aaa74d-cc56-4f5d-ad67-c340291f454a"}}34{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0139tqrwv7cLRsjemNyHx59o","type":"tool_result","content":"320\t pets: str | None = None,\n321\t furnished: int | None = None,\n322\t available_by: str | None = None,\n323\t area_min: float | None = None,\n324\t q: str | None = None,\n325\t deal: str | None = None, # sous | marche | sur (juste valeur)\n326\t bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n327\t poly: str | None = None, # lng,lat;… (zone dessinée)\n328\t kascore_min: float | None = None, # KA Score global minimal (0-100)\n329\t sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n330\t page: int = 1,\n331\t page_size: int = Query(20, ge=1, le=100),\n332\t include: str = \"tout\", # tout | liste (points inchangés côté client)\n333\t):\n334\t \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n335\t\n336\t Retourne `total` (compteur partagé), `listings` (la page demandée) et\n337\t `points` (TOUS les points correspondants, format compact\n338\t [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n339\t position d'un point dans `points` donne directement sa page de liste.\n340\t Seules les annonces géolocalisées participent (la règle d'or : chaque\n341\t annonce de la liste est visible sur la carte) ; `unpositioned` compte\n342\t les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n343\t \"\"\"\n344\t if sort not in _SEARCH_SORTS:\n345\t raise HTTPException(400, f\"sort inconnu : {sort}\")\n346\t ring = _parse_poly(poly) if poly else None\n347\t\n348\t con = db.connect()\n349\t sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"4e2ec460-1ca2-4647-9df9-c9b27e208884","timestamp":"2026-08-22T20:14:40.174Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","content":" pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +","numLines":30,"startLine":320,"totalLines":785}}}}35{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01AStLxnyckMWz1Qmx2upBZx","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","offset":338,"limit":15},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2591,"cache_read_input_tokens":44279,"cache_creation":{"ephemeral_5m_input_tokens":2591,"ephemeral_1h_input_tokens":0},"output_tokens":7,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"578a8e1d-45c1-4998-bad6-e8926ba95d93"}}36{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AStLxnyckMWz1Qmx2upBZx","type":"tool_result","content":"338\t }, [res?.total, onTotal]);\n339\t\n340\t // --- URL : tri + page + zone + mode (la caméra est gérée au moveend) ---\n341\t useEffect(() => {\n342\t const url = new URL(window.location.href);\n343\t const set = (k: string, v: string | null) =>\n344\t v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);\n345\t set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\n346\t set(\"page\", qy.page > 1 ? String(qy.page) : null);\n347\t set(\"zone\", qy.poly);\n348\t set(\"move\", searchOnMove ? null : \"0\");\n349\t window.history.replaceState(null, \"\", url);\n350\t }, [qy.sort, qy.page, qy.poly, searchOnMove]);\n351\t\n352\t // --- moteur prêt : polygone restauré, annonces « vues » ---"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"b29fe12a-0b45-42cd-96da-625f21dea478","timestamp":"2026-08-22T20:14:40.601Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","content":" }, [res?.total, onTotal]);\n\n // --- URL : tri + page + zone + mode (la caméra est gérée au moveend) ---\n useEffect(() => {\n const url = new URL(window.location.href);\n const set = (k: string, v: string | null) =>\n v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);\n set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\n set(\"page\", qy.page > 1 ? String(qy.page) : null);\n set(\"zone\", qy.poly);\n set(\"move\", searchOnMove ? null : \"0\");\n window.history.replaceState(null, \"\", url);\n }, [qy.sort, qy.page, qy.poly, searchOnMove]);\n\n // --- moteur prêt : polygone restauré, annonces « vues » ---","numLines":15,"startLine":338,"totalLines":864}}}}37{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"282461cb-171b-467f-a793-65234f08a44a","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}38{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ9sF4nAN2w2unTaNie","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":3005,"cache_read_input_tokens":46870,"cache_creation":{"ephemeral_5m_input_tokens":3005,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"a59f8b4b-fe59-4e97-8f59-f79e987b8407"}}39{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ9sF4nAN2w2unTaNie","type":"message","role":"assistant","content":[{"type":"text","text":"Tout est clair. Je fais les modifications : tri par défaut « plus récentes d'abord » côté API (`/api/listings`, `/api/listings.geojson`, `/api/search`) et côté front (vue carte)."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3005,"cache_read_input_tokens":46870,"cache_creation":{"ephemeral_5m_input_tokens":3005,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"499157ac-aedd-4db5-b88e-41dfa565ce81"}}40{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ9sF4nAN2w2unTaNie","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013khJshuGLYdUJwxLGc5eG5","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","old_string":" elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n else:\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"","new_string":" elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, price ASC LIMIT ? OFFSET ?\""},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3005,"cache_read_input_tokens":46870,"cache_creation":{"ephemeral_5m_input_tokens":3005,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"45cbd235-4500-4b74-b39e-fd7bc963e4bc"}}41{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_013khJshuGLYdUJwxLGc5eG5","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"346fd1d2-e107-4b23-a4db-70297ade2d06","timestamp":"2026-08-22T20:14:56.983Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","oldString":" elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n else:\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"","newString":" elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, price ASC LIMIT ? OFFSET ?\"","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, 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\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n else:\n sql += \" ORDER BY price IS NULL, 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), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n\n Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n fiches de la carte sont inclus (1 photo, pas de description).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n pour afficher « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n \" availability_date, source, city, sector, area_sqft, images,\"\n \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n \" fv.deviation AS fv_deviation\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n \"price\": r[\"price\"],\n \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n \"availability_date\": r[\"availability_date\"],\n \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n \"area_sqft\": r[\"area_sqft\"],\n \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n# --- Recherche unifiée liste + carte -----------------------------------------\n# Une seule vérité partagée : la même requête sert la page de liste ET les\n# points de la carte, dans la même réponse. Le compteur affiché en tête de\n# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n \" ks.services AS ks_services, ks.global AS ks_global\")\n_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n\n\ndef _parse_poly(poly: str) -> list[tuple[float, float]]:\n \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n try:\n pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n except ValueError:\n raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n if len(pts) < 3 or any(len(p) != 2 for p in pts):\n raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n return pts # type: ignore[return-value]\n\n\ndef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n inside = False\n j = len(ring) - 1\n for i in range(len(ring)):\n xi, yi = ring[i]\n xj, yj = ring[j]\n if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n inside = not inside\n j = i\n return inside\n\n\n@app.get(\"/api/search\")\ndef search_unified(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [south, north, west, east]\n if ring:\n # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [min(lats), max(lats), min(lngs), max(lngs)]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n\n rows = con.execute(\n \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n args).fetchall()\n if ring:\n rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n total = len(rows)\n\n # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n # tableau détermine la page (points et liste partagent le même tri)\n points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n\n # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n last = max(1, -(-total // page_size))\n page = min(max(1, page), last)\n page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n\n listings: list[dict] = []\n if page_uids:\n marks = \",\".join(\"?\" * len(page_uids))\n by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n listings = [by_uid[u] for u in page_uids if u in by_uid]\n\n # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n sql_nogeo = sql.replace(\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n args_nogeo = list(args)\n for spatial in (bbox, poly):\n if spatial:\n sql_nogeo = sql_nogeo.replace(\n \" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n del args_nogeo[0:4]\n unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n args_nogeo).fetchone()[\"c\"]\n con.close()\n\n return {\n \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n \"listings\": listings,\n \"points\": points if include != \"liste\" else None,\n \"unpositioned\": unpositioned,\n }\n\n\n# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n# /api/img?u=<url>&w=480. Seules les URLs déjà vérifiées par le contrôle\n# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n_IMG_WIDTHS = (160, 480, 800, 1280)\n_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n\n\n@app.get(\"/api/img\")\ndef img_thumbnail(u: str, w: int = 480):\n import hashlib\n import requests as _rq\n from fastapi.responses import Response\n w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n if not u.startswith((\"http://\", \"https://\")):\n raise HTTPException(400, \"URL invalide\")\n key = hashlib.sha1(u.encode()).hexdigest()\n _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n path = _IMG_CACHE / f\"{key}_{w}.webp\"\n headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n if path.exists():\n return Response(path.read_bytes(), media_type=\"image/webp\",\n headers=headers)\n con = db.connect()\n known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n (u,)).fetchone()\n con.close()\n if known is None or known[\"status\"] not in (\"ok\",):\n raise HTTPException(404, \"image inconnue du contrôle qualité\")\n try:\n resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n resp.raise_for_status()\n from io import BytesIO\n from PIL import Image, ImageOps\n img = Image.open(BytesIO(resp.content))\n img = ImageOps.exif_transpose(img)\n if img.mode not in (\"RGB\", \"L\"):\n img = img.convert(\"RGB\")\n if img.width > w:\n img = img.resize((w, max(1, round(img.height * w / img.width))),\n Image.LANCZOS)\n buf = BytesIO()\n img.save(buf, \"WEBP\", quality=80, method=4)\n data = buf.getvalue()\n path.write_bytes(data)\n return Response(data, media_type=\"image/webp\", headers=headers)\n except HTTPException:\n raise\n except Exception:\n raise HTTPException(404, \"image irrécupérable\")\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n data = pdfgen.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Annonce introuvable\")\n nom = uid.replace(\":\", \"-\")\n return Response(content=data, media_type=\"application/pdf\", headers={\n \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_marche_pdf():\n \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n\n\n@app.get(\"/api/fairvalue/{uid}\")\ndef fairvalue_detail(uid: str):\n \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n distribution du segment (voir louka/fairvalue.py).\"\"\"\n from . import fairvalue\n d = fairvalue.explain(uid)\n if d is None:\n raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # commodités de proximité (cache par immeuble, voir louka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n if d.get(\"coord_key\"):\n ks = con.execute(\n \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n (d[\"coord_key\"],)).fetchone()\n if ks is not None:\n d[\"kascores\"] = {\n \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n \"details\": json.loads(ks[\"details\"] or \"{}\"),\n \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n }\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n # description structurée + historique de prix\n d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\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 6\",\n (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Annonce introuvable\")\n return d\n\n\n@app.get(\"/api/kascores/stats\")\ndef kascores_stats():\n \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n from . import kascores\n return kascores.stats()\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `city` (optionnel) restreint la liste des quartiers à cette ville —\n utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n \"\"\"\n con = db.connect()\n sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND sector<>''\")\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n if period not in _PERIODES_VALIDES:\n period = \"perso\" if (from_ and to) else \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n from_, to)\n eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"lou-ka\", period, mode)\n return Response(content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{fname}\"'})\n\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n gardent une vieille version de l'app après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n # routeur React affiche sa page « introuvable », les moteurs de recherche\n # voient un vrai 404 (fin des soft-404).\n _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n \"contact\", \"juste-valeur\"}\n _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path in _CLIENT_ROUTES\n or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":144,"oldLines":8,"newStart":144,"newLines":10,"lines":[" elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)"," sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\""," \" price IS NULL, price ASC LIMIT ? OFFSET ?\")","- else:","+ elif sort == \"prix\":"," sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"","+ else: # défaut : les plus récentes d'abord","+ sql += \" ORDER BY first_seen DESC, price IS NULL, price ASC LIMIT ? OFFSET ?\""," args += [limit, offset]"," rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]"," con.close()"]}],"userModified":false,"replaceAll":false}}}42{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ9sF4nAN2w2unTaNie","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01VcvYgpdGQwoFS1NmpcVhur","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","old_string":" sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n args.append(limit)","new_string":" sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":3005,"cache_read_input_tokens":46870,"cache_creation":{"ephemeral_5m_input_tokens":3005,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"db4e56ca-5d5d-426b-b18b-f0ba32063741"}}43{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01VcvYgpdGQwoFS1NmpcVhur","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"ca998a17-4300-4229-9f15-16a350ae939e","timestamp":"2026-08-22T20:14:57.809Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","oldString":" sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n args.append(limit)","newString":" sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, 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\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, 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), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n\n Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n fiches de la carte sont inclus (1 photo, pas de description).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n pour afficher « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n \" availability_date, source, city, sector, area_sqft, images,\"\n \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n \" fv.deviation AS fv_deviation\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n \"price\": r[\"price\"],\n \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n \"availability_date\": r[\"availability_date\"],\n \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n \"area_sqft\": r[\"area_sqft\"],\n \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n# --- Recherche unifiée liste + carte -----------------------------------------\n# Une seule vérité partagée : la même requête sert la page de liste ET les\n# points de la carte, dans la même réponse. Le compteur affiché en tête de\n# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n \" ks.services AS ks_services, ks.global AS ks_global\")\n_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n\n\ndef _parse_poly(poly: str) -> list[tuple[float, float]]:\n \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n try:\n pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n except ValueError:\n raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n if len(pts) < 3 or any(len(p) != 2 for p in pts):\n raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n return pts # type: ignore[return-value]\n\n\ndef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n inside = False\n j = len(ring) - 1\n for i in range(len(ring)):\n xi, yi = ring[i]\n xj, yj = ring[j]\n if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n inside = not inside\n j = i\n return inside\n\n\n@app.get(\"/api/search\")\ndef search_unified(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [south, north, west, east]\n if ring:\n # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [min(lats), max(lats), min(lngs), max(lngs)]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n\n rows = con.execute(\n \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n args).fetchall()\n if ring:\n rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n total = len(rows)\n\n # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n # tableau détermine la page (points et liste partagent le même tri)\n points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n\n # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n last = max(1, -(-total // page_size))\n page = min(max(1, page), last)\n page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n\n listings: list[dict] = []\n if page_uids:\n marks = \",\".join(\"?\" * len(page_uids))\n by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n listings = [by_uid[u] for u in page_uids if u in by_uid]\n\n # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n sql_nogeo = sql.replace(\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n args_nogeo = list(args)\n for spatial in (bbox, poly):\n if spatial:\n sql_nogeo = sql_nogeo.replace(\n \" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n del args_nogeo[0:4]\n unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n args_nogeo).fetchone()[\"c\"]\n con.close()\n\n return {\n \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n \"listings\": listings,\n \"points\": points if include != \"liste\" else None,\n \"unpositioned\": unpositioned,\n }\n\n\n# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n# /api/img?u=<url>&w=480. Seules les URLs déjà vérifiées par le contrôle\n# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n_IMG_WIDTHS = (160, 480, 800, 1280)\n_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n\n\n@app.get(\"/api/img\")\ndef img_thumbnail(u: str, w: int = 480):\n import hashlib\n import requests as _rq\n from fastapi.responses import Response\n w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n if not u.startswith((\"http://\", \"https://\")):\n raise HTTPException(400, \"URL invalide\")\n key = hashlib.sha1(u.encode()).hexdigest()\n _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n path = _IMG_CACHE / f\"{key}_{w}.webp\"\n headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n if path.exists():\n return Response(path.read_bytes(), media_type=\"image/webp\",\n headers=headers)\n con = db.connect()\n known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n (u,)).fetchone()\n con.close()\n if known is None or known[\"status\"] not in (\"ok\",):\n raise HTTPException(404, \"image inconnue du contrôle qualité\")\n try:\n resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n resp.raise_for_status()\n from io import BytesIO\n from PIL import Image, ImageOps\n img = Image.open(BytesIO(resp.content))\n img = ImageOps.exif_transpose(img)\n if img.mode not in (\"RGB\", \"L\"):\n img = img.convert(\"RGB\")\n if img.width > w:\n img = img.resize((w, max(1, round(img.height * w / img.width))),\n Image.LANCZOS)\n buf = BytesIO()\n img.save(buf, \"WEBP\", quality=80, method=4)\n data = buf.getvalue()\n path.write_bytes(data)\n return Response(data, media_type=\"image/webp\", headers=headers)\n except HTTPException:\n raise\n except Exception:\n raise HTTPException(404, \"image irrécupérable\")\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n data = pdfgen.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Annonce introuvable\")\n nom = uid.replace(\":\", \"-\")\n return Response(content=data, media_type=\"application/pdf\", headers={\n \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_marche_pdf():\n \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n\n\n@app.get(\"/api/fairvalue/{uid}\")\ndef fairvalue_detail(uid: str):\n \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n distribution du segment (voir louka/fairvalue.py).\"\"\"\n from . import fairvalue\n d = fairvalue.explain(uid)\n if d is None:\n raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # commodités de proximité (cache par immeuble, voir louka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n if d.get(\"coord_key\"):\n ks = con.execute(\n \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n (d[\"coord_key\"],)).fetchone()\n if ks is not None:\n d[\"kascores\"] = {\n \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n \"details\": json.loads(ks[\"details\"] or \"{}\"),\n \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n }\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n # description structurée + historique de prix\n d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\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 6\",\n (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Annonce introuvable\")\n return d\n\n\n@app.get(\"/api/kascores/stats\")\ndef kascores_stats():\n \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n from . import kascores\n return kascores.stats()\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `city` (optionnel) restreint la liste des quartiers à cette ville —\n utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n \"\"\"\n con = db.connect()\n sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND sector<>''\")\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n if period not in _PERIODES_VALIDES:\n period = \"perso\" if (from_ and to) else \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n from_, to)\n eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"lou-ka\", period, mode)\n return Response(content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{fname}\"'})\n\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n gardent une vieille version de l'app après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n # routeur React affiche sa page « introuvable », les moteurs de recherche\n # voient un vrai 404 (fin des soft-404).\n _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n \"contact\", \"juste-valeur\"}\n _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path in _CLIENT_ROUTES\n or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":235,"oldLines":7,"newStart":235,"newLines":7,"lines":[" del args_all[0:4]"," total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]"," ","- sql += \" ORDER BY price IS NULL, price ASC LIMIT ?\"","+ sql += \" ORDER BY first_seen DESC LIMIT ?\""," args.append(limit)"," "," features = 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liste est par construction égal au nombre de points envoyés à la carte.\n271\t\n272\t_SEARCH_SORTS = {\n273\t \"prix\": \" ORDER BY price IS NULL, price ASC\",\n274\t \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n275\t \"recent\": \" ORDER BY first_seen DESC\",\n276\t \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n277\t \" price IS NULL, price ASC\"),\n278\t \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n279\t \" price IS NULL, price ASC\"),\n280\t}\n281\t\n282\t# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n283\t_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\""}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"d8db96d6-a347-47f3-86b1-38eb0fa00641","timestamp":"2026-08-22T20:15:02.056Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","content":"# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS 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successfully."}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"2b4d64b2-6c04-4ea0-a7e6-16ee06c9ea04","timestamp":"2026-08-22T20:15:07.637Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","oldString":" \"recent\": \" ORDER BY first_seen DESC\",","newString":" \"recent\": \" ORDER BY first_seen DESC, price IS NULL, price ASC\",","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, 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\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, 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), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n\n Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n fiches de la carte sont inclus (1 photo, pas de description).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n pour afficher « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n \" availability_date, source, city, sector, area_sqft, images,\"\n \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n \" fv.deviation AS fv_deviation\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n \"price\": r[\"price\"],\n \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n \"availability_date\": r[\"availability_date\"],\n \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n \"area_sqft\": r[\"area_sqft\"],\n \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n# --- Recherche unifiée liste + carte -----------------------------------------\n# Une seule vérité partagée : la même requête sert la page de liste ET les\n# points de la carte, dans la même réponse. Le compteur affiché en tête de\n# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n \" ks.services AS ks_services, ks.global AS ks_global\")\n_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n\n\ndef _parse_poly(poly: str) -> list[tuple[float, float]]:\n \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n try:\n pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n except ValueError:\n raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n if len(pts) < 3 or any(len(p) != 2 for p in pts):\n raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n return pts # type: ignore[return-value]\n\n\ndef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n inside = False\n j = len(ring) - 1\n for i in range(len(ring)):\n xi, yi = ring[i]\n xj, yj = ring[j]\n if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n inside = not inside\n j = i\n return inside\n\n\n@app.get(\"/api/search\")\ndef search_unified(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [south, north, west, east]\n if ring:\n # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [min(lats), max(lats), min(lngs), max(lngs)]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n\n rows = con.execute(\n \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n args).fetchall()\n if ring:\n rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n total = len(rows)\n\n # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n # tableau détermine la page (points et liste partagent le même tri)\n points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n\n # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n last = max(1, -(-total // page_size))\n page = min(max(1, page), last)\n page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n\n listings: list[dict] = []\n if page_uids:\n marks = \",\".join(\"?\" * len(page_uids))\n by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n listings = [by_uid[u] for u in page_uids if u in by_uid]\n\n # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n sql_nogeo = sql.replace(\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n args_nogeo = list(args)\n for spatial in (bbox, poly):\n if spatial:\n sql_nogeo = sql_nogeo.replace(\n \" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n del args_nogeo[0:4]\n unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n args_nogeo).fetchone()[\"c\"]\n con.close()\n\n return {\n \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n \"listings\": listings,\n \"points\": points if include != \"liste\" else None,\n \"unpositioned\": unpositioned,\n }\n\n\n# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n# /api/img?u=<url>&w=480. Seules les URLs déjà vérifiées par le contrôle\n# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n_IMG_WIDTHS = (160, 480, 800, 1280)\n_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n\n\n@app.get(\"/api/img\")\ndef img_thumbnail(u: str, w: int = 480):\n import hashlib\n import requests as _rq\n from fastapi.responses import Response\n w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n if not u.startswith((\"http://\", \"https://\")):\n raise HTTPException(400, \"URL invalide\")\n key = hashlib.sha1(u.encode()).hexdigest()\n _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n path = _IMG_CACHE / f\"{key}_{w}.webp\"\n headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n if path.exists():\n return Response(path.read_bytes(), media_type=\"image/webp\",\n headers=headers)\n con = db.connect()\n known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n (u,)).fetchone()\n con.close()\n if known is None or known[\"status\"] not in (\"ok\",):\n raise HTTPException(404, \"image inconnue du contrôle qualité\")\n try:\n resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n resp.raise_for_status()\n from io import BytesIO\n from PIL import Image, ImageOps\n img = Image.open(BytesIO(resp.content))\n img = ImageOps.exif_transpose(img)\n if img.mode not in (\"RGB\", \"L\"):\n img = img.convert(\"RGB\")\n if img.width > w:\n img = img.resize((w, max(1, round(img.height * w / img.width))),\n Image.LANCZOS)\n buf = BytesIO()\n img.save(buf, \"WEBP\", quality=80, method=4)\n data = buf.getvalue()\n path.write_bytes(data)\n return Response(data, media_type=\"image/webp\", headers=headers)\n except HTTPException:\n raise\n except Exception:\n raise HTTPException(404, \"image irrécupérable\")\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n data = pdfgen.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Annonce introuvable\")\n nom = uid.replace(\":\", \"-\")\n return Response(content=data, media_type=\"application/pdf\", headers={\n \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_marche_pdf():\n \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n\n\n@app.get(\"/api/fairvalue/{uid}\")\ndef fairvalue_detail(uid: str):\n \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n distribution du segment (voir louka/fairvalue.py).\"\"\"\n from . import fairvalue\n d = fairvalue.explain(uid)\n if d is None:\n raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # commodités de proximité (cache par immeuble, voir louka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n if d.get(\"coord_key\"):\n ks = con.execute(\n \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n (d[\"coord_key\"],)).fetchone()\n if ks is not None:\n d[\"kascores\"] = {\n \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n \"details\": json.loads(ks[\"details\"] or \"{}\"),\n \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n }\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n # description structurée + historique de prix\n d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\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 6\",\n (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Annonce introuvable\")\n return d\n\n\n@app.get(\"/api/kascores/stats\")\ndef kascores_stats():\n \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n from . import kascores\n return kascores.stats()\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `city` (optionnel) restreint la liste des quartiers à cette ville —\n utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n \"\"\"\n con = db.connect()\n sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND sector<>''\")\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n if period not in _PERIODES_VALIDES:\n period = \"perso\" if (from_ and to) else \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n from_, to)\n eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"lou-ka\", period, mode)\n return Response(content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{fname}\"'})\n\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n gardent une vieille version de l'app après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n # routeur React affiche sa page « introuvable », les moteurs de recherche\n # voient un vrai 404 (fin des soft-404).\n _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n \"contact\", \"juste-valeur\"}\n _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path in _CLIENT_ROUTES\n or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":272,"oldLines":7,"newStart":272,"newLines":7,"lines":[" _SEARCH_SORTS = {"," \"prix\": \" ORDER BY price IS NULL, price ASC\","," \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",","- \"recent\": \" ORDER BY first_seen DESC\",","+ \"recent\": \" ORDER BY first_seen DESC, price IS NULL, price ASC\","," \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\""," \" price IS NULL, price ASC\"),"," \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\""]}],"userModified":false,"replaceAll":false}}}50{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQBSkUeoz9gyXjeF4V9","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01CFvruaCZTtjXMVYe2oJbrb","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","old_string":" sort: str = \"prix\", # prix | prix_desc | recent | deal | ka","new_string":" sort: str = \"recent\", # recent (défaut) | prix | prix_desc | deal | ka"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":441,"cache_read_input_tokens":51330,"cache_creation":{"ephemeral_5m_input_tokens":441,"ephemeral_1h_input_tokens":0},"output_tokens":20,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"f7a9f69a-72c5-4c3c-ae74-2f034da29281"}}51{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CFvruaCZTtjXMVYe2oJbrb","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/louka/web.py has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"d3727393-25f0-42b3-8224-9e98a166a786","timestamp":"2026-08-22T20:15:08.656Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/louka/web.py","oldString":" sort: str = \"prix\", # prix | prix_desc | recent | deal | ka","newString":" sort: str = \"recent\", # recent (défaut) | prix | prix_desc | deal | ka","originalFile":"# -----------------------------------------------------------------------------\n# Lou-Ka — Agrégateur de logements à louer (province de Québec)\n# Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n# web.py : API FastAPI (JSON) + service du frontend React (frontend/dist)\n# -----------------------------------------------------------------------------\nfrom __future__ import annotations\n\nimport json\nimport threading\nfrom pathlib import Path\n\nfrom fastapi import BackgroundTasks, 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\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Lou-Ka API\", version=\"1.0\",\n description=\"Agrégateur de logements à louer — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\napp.add_middleware(GZipMiddleware, minimum_size=1000)\n\n_sync_lock = threading.Lock()\n\n# comptes utilisateurs (connexion Google) — voir louka/auth.py\napp.include_router(auth.router)\n\n# rôles, favoris, pages gestionnaires — voir louka/accounts.py\nfrom . import accounts # noqa: E402 (import tardif : évite le cycle web<->accounts)\napp.include_router(accounts.router)\n\n# personnalisation du profil (bio, réseaux sociaux, photo) — louka/profile.py\nfrom . import profile as user_profile # noqa: E402\napp.include_router(user_profile.router)\n\n# fichiers téléversés (photos de profil) — data/uploads/\n_UPLOADS = ROOT / \"data\" / \"uploads\"\n_UPLOADS.mkdir(parents=True, exist_ok=True)\napp.mount(\"/uploads\", StaticFiles(directory=_UPLOADS), name=\"uploads\")\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"amenities\"] = json.loads(d.get(\"amenities\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n # galerie nettoyée par le contrôle qualité (imgcheck.py) : liens morts,\n # minuscules, placeholders et doublons retirés — prime sur la galerie brute\n imgs_ok = d.pop(\"images_ok\", None)\n if imgs_ok:\n try:\n cleaned = json.loads(imgs_ok)\n if isinstance(cleaned, list):\n d[\"images\"] = cleaned\n except (ValueError, TypeError):\n pass\n d.pop(\"img_audit\", None)\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n # autres plateformes où l'annonce est aussi publiée (badge « aussi sur… »)\n if d.get(\"dup_sources\"):\n try:\n d[\"dup_sources\"] = json.loads(d[\"dup_sources\"])\n except (ValueError, TypeError):\n d[\"dup_sources\"] = []\n if d.get(\"furnished\") is not None:\n d[\"furnished\"] = bool(d[\"furnished\"])\n return d\n\n\n@app.get(\"/api/listings\")\ndef list_listings(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None, # \"oui\" -> oui OU conditions\n furnished: int | None = None, # 1 / 0\n available_by: str | None = None, # ISO : dispo maintenant ou avant date\n area_min: float | None = None, # superficie minimale (pi²)\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (fair value)\n kascore_min: float | None = None, # KA Score global minimal\n sort: str | None = None, # \"deal\" affaires | \"ka\" KA Score\n active: int = 1,\n limit: int = Query(500, le=2000),\n offset: int = 0,\n):\n con = db.connect()\n sql = (\"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL\") # doublons masqués\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if active == 1: # quarantaine qualité : jamais dans les résultats publics\n sql += \" AND published=1\"\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n # « now » trié après les dates ISO : comparaison explicite\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n if sort == \"deal\": # meilleures affaires d'abord (écart le plus négatif)\n sql += (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"ka\": # meilleurs emplacements d'abord (KA Score global)\n sql += (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC LIMIT ? OFFSET ?\")\n elif sort == \"prix\":\n sql += \" ORDER BY price IS NULL, price ASC LIMIT ? OFFSET ?\"\n else: # défaut : les plus récentes d'abord\n sql += \" ORDER BY first_seen DESC, price IS NULL, 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), \"listings\": rows}\n\n\n@app.get(\"/api/listings.geojson\")\ndef listings_geojson(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n bbox: str | None = None,\n limit: int = Query(3000, le=8000),\n):\n \"\"\"Annonces géolocalisées au format GeoJSON (mêmes filtres que /api/listings).\n\n Léger par conception : seuls les champs nécessaires aux marqueurs et aux\n fiches de la carte sont inclus (1 photo, pas de description).\n\n Ka Maps : `bbox=ouest,sud,est,nord` restreint au rectangle visible\n (index idx_listings_geo) ; `limit` plafonne la réponse. La collection\n porte deux membres additionnels : `totalGeocoded` (annonces géolocalisées\n correspondant aux filtres) et `totalMatching` (avec ou sans coordonnées),\n pour afficher « N résultats sans position sur la carte ».\n \"\"\"\n con = db.connect()\n sql = (\"SELECT uid, title, address, price, price_label, unit_type,\"\n \" availability_date, source, city, sector, area_sqft, images,\"\n \" images_ok, lat, lng, fv.verdict AS fv_verdict,\"\n \" fv.deviation AS fv_deviation\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND lat IS NOT NULL AND lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += \" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\"\n args += [south, north, west, east]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n\n total_geo = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n # Même requête sans l'exigence de coordonnées ni le bbox : mesure les\n # annonces filtrées invisibles sur la carte (affordance « sans position »).\n sql_all = sql.replace(\" AND lat IS NOT NULL AND lng IS NOT NULL\", \"\")\n args_all = list(args)\n if bbox:\n sql_all = sql_all.replace(\" AND lat BETWEEN ? AND ? AND lng BETWEEN ? AND ?\", \"\")\n del args_all[0:4]\n total_all = con.execute(f\"SELECT COUNT(*) c FROM ({sql_all})\", args_all).fetchone()[\"c\"]\n\n sql += \" ORDER BY first_seen DESC LIMIT ?\"\n args.append(limit)\n\n features = []\n for r in con.execute(sql, args).fetchall():\n # galerie nettoyée si auditée (même vide : les images brutes sont\n # alors toutes mortes/placeholder — le frontend affiche le visuel\n # de secours Lou-Ka plutôt qu'une image cassée)\n images = json.loads((r[\"images_ok\"] if r[\"images_ok\"] is not None\n else r[\"images\"]) or \"[]\")\n features.append({\n \"type\": \"Feature\",\n \"geometry\": {\"type\": \"Point\", \"coordinates\": [r[\"lng\"], r[\"lat\"]]},\n \"properties\": {\n \"uid\": r[\"uid\"], \"title\": r[\"title\"], \"address\": r[\"address\"],\n \"price\": r[\"price\"],\n \"price_label\": r[\"price_label\"], \"unit_type\": r[\"unit_type\"],\n \"availability_date\": r[\"availability_date\"],\n \"source\": r[\"source\"], \"city\": r[\"city\"], \"sector\": r[\"sector\"],\n \"area_sqft\": r[\"area_sqft\"],\n \"fv_verdict\": r[\"fv_verdict\"], \"fv_deviation\": r[\"fv_deviation\"],\n \"image\": images[0] if images else None,\n },\n })\n con.close()\n return {\"type\": \"FeatureCollection\", \"features\": features,\n \"totalGeocoded\": total_geo, \"totalMatching\": total_all}\n\n\n# --- Recherche unifiée liste + carte -----------------------------------------\n# Une seule vérité partagée : la même requête sert la page de liste ET les\n# points de la carte, dans la même réponse. Le compteur affiché en tête de\n# liste est par construction égal au nombre de points envoyés à la carte.\n\n_SEARCH_SORTS = {\n \"prix\": \" ORDER BY price IS NULL, price ASC\",\n \"prix_desc\": \" ORDER BY price IS NULL, price DESC\",\n \"recent\": \" ORDER BY first_seen DESC, price IS NULL, price ASC\",\n \"deal\": (\" ORDER BY fv.deviation IS NULL, fv.deviation ASC,\"\n \" price IS NULL, price ASC\"),\n \"ka\": (\" ORDER BY ks.global IS NULL, ks.global DESC,\"\n \" price IS NULL, price ASC\"),\n}\n\n# colonnes KA Scores jointes aux annonces (pastilles + tri + fiche)\n_KS_COLS = (\" ks.walk AS ks_walk, ks.transit AS ks_transit,\"\n \" ks.bike AS ks_bike, ks.calme AS ks_calme,\"\n \" ks.services AS ks_services, ks.global AS ks_global\")\n_KS_JOIN = \" LEFT JOIN kascores ks ON ks.coord_key = listings.coord_key\"\n_FV_CODES = {\"sous\": \"s\", \"marche\": \"m\", \"sur\": \"o\"}\n\n\ndef _parse_poly(poly: str) -> list[tuple[float, float]]:\n \"\"\"`poly=lng,lat;lng,lat;…` → liste de sommets (≥ 3) ou HTTP 400.\"\"\"\n try:\n pts = [tuple(float(v) for v in p.split(\",\")) for p in poly.split(\";\") if p]\n except ValueError:\n raise HTTPException(400, \"poly attendu : lng,lat;lng,lat;…\")\n if len(pts) < 3 or any(len(p) != 2 for p in pts):\n raise HTTPException(400, \"poly : au moins 3 sommets lng,lat\")\n return pts # type: ignore[return-value]\n\n\ndef _point_in_poly(lng: float, lat: float, ring: list[tuple[float, float]]) -> bool:\n \"\"\"Ray casting — même algorithme que ka-maps (utils/geo.pointInPolygon).\"\"\"\n inside = False\n j = len(ring) - 1\n for i in range(len(ring)):\n xi, yi = ring[i]\n xj, yj = ring[j]\n if (yi > lat) != (yj > lat) and lng < (xj - xi) * (lat - yi) / (yj - yi) + xi:\n inside = not inside\n j = i\n return inside\n\n\n@app.get(\"/api/search\")\ndef search_unified(\n city: str | None = None,\n sector: str | None = None,\n unit_type: str | None = None,\n source: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n pets: str | None = None,\n furnished: int | None = None,\n available_by: str | None = None,\n area_min: float | None = None,\n q: str | None = None,\n deal: str | None = None, # sous | marche | sur (juste valeur)\n bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)\n poly: str | None = None, # lng,lat;… (zone dessinée)\n kascore_min: float | None = None, # KA Score global minimal (0-100)\n sort: str = \"prix\", # prix | prix_desc | recent | deal | ka\n page: int = 1,\n page_size: int = Query(20, ge=1, le=100),\n include: str = \"tout\", # tout | liste (points inchangés côté client)\n):\n \"\"\"Recherche synchronisée liste ↔ carte (une réponse = les deux vues).\n\n Retourne `total` (compteur partagé), `listings` (la page demandée) et\n `points` (TOUS les points correspondants, format compact\n [uid, lng, lat, prix, verdict]) — triés selon `sort`, si bien que la\n position d'un point dans `points` donne directement sa page de liste.\n Seules les annonces géolocalisées participent (la règle d'or : chaque\n annonce de la liste est visible sur la carte) ; `unpositioned` compte\n les annonces filtrées sans coordonnées, pour l'afficher honnêtement.\n \"\"\"\n if sort not in _SEARCH_SORTS:\n raise HTTPException(400, f\"sort inconnu : {sort}\")\n ring = _parse_poly(poly) if poly else None\n\n con = db.connect()\n sql = (\" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n \" WHERE dup_of IS NULL AND active=1 AND published=1\"\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\")\n args: list = []\n if bbox:\n try:\n west, south, east, north = (float(v) for v in bbox.split(\",\"))\n except ValueError:\n raise HTTPException(400, \"bbox attendu : ouest,sud,est,nord\")\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [south, north, west, east]\n if ring:\n # préfiltre SQL par l'emprise du polygone, appartenance exacte en aval\n lngs = [p[0] for p in ring]; lats = [p[1] for p in ring]\n sql += (\" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\")\n args += [min(lats), max(lats), min(lngs), max(lngs)]\n if city:\n sql += \" AND city=?\"; args.append(city)\n if sector:\n sql += \" AND sector LIKE ?\"; args.append(f\"%{sector}%\")\n if unit_type:\n sql += \" AND unit_type=?\"; args.append(unit_type)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if price_max is not None:\n sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n if price_min is not None:\n sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n if pets == \"oui\":\n sql += \" AND pets IN ('oui','conditions')\"\n elif pets:\n sql += \" AND pets=?\"; args.append(pets)\n if furnished in (0, 1):\n sql += \" AND furnished=?\"; args.append(furnished)\n if available_by:\n sql += \" AND (availability_date='now' OR (availability_date IS NOT NULL\" \\\n \" AND availability_date<=?))\"\n args.append(available_by)\n if area_min is not None:\n sql += \" AND area_sqft IS NOT NULL AND area_sqft>=?\"; args.append(area_min)\n if q:\n sql += \" AND (title LIKE ? OR address LIKE ? OR sector LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n if deal in (\"sous\", \"marche\", \"sur\"):\n sql += \" AND fv.verdict=?\"; args.append(deal)\n if kascore_min is not None:\n sql += \" AND ks.global IS NOT NULL AND ks.global>=?\"\n args.append(kascore_min)\n\n rows = con.execute(\n \"SELECT uid, listings.lng AS lng, listings.lat AS lat, price,\"\n \" fv.verdict AS v\" + sql + _SEARCH_SORTS[sort],\n args).fetchall()\n if ring:\n rows = [r for r in rows if _point_in_poly(r[\"lng\"], r[\"lat\"], ring)]\n total = len(rows)\n\n # points compacts : [uid, lng, lat, prix, verdict] — l'index dans ce\n # tableau détermine la page (points et liste partagent le même tri)\n points = [[r[\"uid\"], round(r[\"lng\"], 6), round(r[\"lat\"], 6), r[\"price\"],\n _FV_CODES.get(r[\"v\"] or \"\", None)] for r in rows]\n\n # page demandée, ramenée dans les bornes si les filtres l'ont dépassée\n last = max(1, -(-total // page_size))\n page = min(max(1, page), last)\n page_uids = [r[\"uid\"] for r in rows[(page - 1) * page_size: page * page_size]]\n\n listings: list[dict] = []\n if page_uids:\n marks = \",\".join(\"?\" * len(page_uids))\n by_uid = {r[\"uid\"]: _row_to_dict(r) for r in con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence,\" + _KS_COLS +\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\" + _KS_JOIN +\n f\" WHERE uid IN ({marks})\", page_uids).fetchall()}\n listings = [by_uid[u] for u in page_uids if u in by_uid]\n\n # annonces filtrées mais sans coordonnées (affichage honnête, hors carte)\n sql_nogeo = sql.replace(\n \" AND listings.lat IS NOT NULL AND listings.lng IS NOT NULL\",\n \" AND (listings.lat IS NULL OR listings.lng IS NULL)\", 1)\n args_nogeo = list(args)\n for spatial in (bbox, poly):\n if spatial:\n sql_nogeo = sql_nogeo.replace(\n \" AND listings.lat BETWEEN ? AND ?\"\n \" AND listings.lng BETWEEN ? AND ?\", \"\", 1)\n del args_nogeo[0:4]\n unpositioned = con.execute(\"SELECT COUNT(*) c\" + sql_nogeo,\n args_nogeo).fetchone()[\"c\"]\n con.close()\n\n return {\n \"total\": total, \"page\": page, \"page_size\": page_size, \"sort\": sort,\n \"listings\": listings,\n \"points\": points if include != \"liste\" else None,\n \"unpositioned\": unpositioned,\n }\n\n\n# --- Miniatures optimisées (WebP, taille écran) ------------------------------\n# Sert les images des annonces redimensionnées et compressées (perf mobile) :\n# /api/img?u=<url>&w=480. Seules les URLs déjà vérifiées par le contrôle\n# qualité (table image_checks) sont proxifiées — pas de proxy ouvert. Si\n# l'URL n'est pas (encore) connue : 404, le frontend retombe sur l'original.\n_IMG_WIDTHS = (160, 480, 800, 1280)\n_IMG_CACHE = ROOT / \"data\" / \"imgcache\"\n\n\n@app.get(\"/api/img\")\ndef img_thumbnail(u: str, w: int = 480):\n import hashlib\n import requests as _rq\n from fastapi.responses import Response\n w = min(_IMG_WIDTHS, key=lambda x: abs(x - w))\n if not u.startswith((\"http://\", \"https://\")):\n raise HTTPException(400, \"URL invalide\")\n key = hashlib.sha1(u.encode()).hexdigest()\n _IMG_CACHE.mkdir(parents=True, exist_ok=True)\n path = _IMG_CACHE / f\"{key}_{w}.webp\"\n headers = {\"Cache-Control\": \"public, max-age=2592000, immutable\"}\n if path.exists():\n return Response(path.read_bytes(), media_type=\"image/webp\",\n headers=headers)\n con = db.connect()\n known = con.execute(\"SELECT status FROM image_checks WHERE url=?\",\n (u,)).fetchone()\n con.close()\n if known is None or known[\"status\"] not in (\"ok\",):\n raise HTTPException(404, \"image inconnue du contrôle qualité\")\n try:\n resp = _rq.get(u, timeout=12, headers={\"User-Agent\": \"LouKaImg/1.0\"})\n resp.raise_for_status()\n from io import BytesIO\n from PIL import Image, ImageOps\n img = Image.open(BytesIO(resp.content))\n img = ImageOps.exif_transpose(img)\n if img.mode not in (\"RGB\", \"L\"):\n img = img.convert(\"RGB\")\n if img.width > w:\n img = img.resize((w, max(1, round(img.height * w / img.width))),\n Image.LANCZOS)\n buf = BytesIO()\n img.save(buf, \"WEBP\", quality=80, method=4)\n data = buf.getvalue()\n path.write_bytes(data)\n return Response(data, media_type=\"image/webp\", headers=headers)\n except HTTPException:\n raise\n except Exception:\n raise HTTPException(404, \"image irrécupérable\")\n\n\n@app.get(\"/api/listings/{uid}/pdf\")\ndef listing_pdf(uid: str):\n \"\"\"Fiche de propriété PDF (photos, prix, quartier, QR) — voir pdfgen.py.\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n data = pdfgen.fiche_pdf(uid)\n if data is None:\n raise HTTPException(404, \"Annonce introuvable\")\n nom = uid.replace(\":\", \"-\")\n return Response(content=data, media_type=\"application/pdf\", headers={\n \"Content-Disposition\": f'attachment; filename=\"louka-fiche-{nom}.pdf\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_marche_pdf():\n \"\"\"Rapport global du marché locatif (PDF multi-pages).\"\"\"\n from fastapi.responses import Response\n from . import pdfgen\n return Response(content=pdfgen.rapport_pdf(), media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"louka-rapport-marche.pdf\"'})\n\n\n@app.get(\"/api/fairvalue/{uid}\")\ndef fairvalue_detail(uid: str):\n \"\"\"Analyse de prix Lou-Ka : juste valeur, fourchette, confiance,\n distribution du segment (voir louka/fairvalue.py).\"\"\"\n from . import fairvalue\n d = fairvalue.explain(uid)\n if d is None:\n raise HTTPException(404, \"Pas d'estimation pour cette annonce\")\n return d\n\n\n@app.get(\"/api/listings/{uid}\")\ndef get_listing(uid: str):\n con = db.connect()\n row = con.execute(\n \"SELECT listings.*, fv.fv AS fv, fv.fv_low, fv.fv_high,\"\n \" fv.deviation AS fv_deviation, fv.verdict AS fv_verdict,\"\n \" fv.confidence AS fv_confidence\"\n \" FROM listings LEFT JOIN fairvalue fv USING (uid)\"\n \" WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # commodités de proximité (cache par immeuble, voir louka/poi.py)\n if d.get(\"lat\") is not None and d.get(\"lng\") is not None:\n key = f\"{round(d['lat'], 4)},{round(d['lng'], 4)}\"\n poi_row = con.execute(\n \"SELECT pois FROM poi_cache WHERE coord_key=?\", (key,)).fetchone()\n d[\"poi\"] = json.loads(poi_row[\"pois\"]) if poi_row else []\n else:\n d[\"poi\"] = []\n # KA Scores de l'immeuble (Walk/Transit/Bike/Calme/Services + global)\n if d.get(\"coord_key\"):\n ks = con.execute(\n \"SELECT walk, transit, bike, calme, services, global AS glob,\"\n \" details, version, computed_at FROM kascores WHERE coord_key=?\",\n (d[\"coord_key\"],)).fetchone()\n if ks is not None:\n d[\"kascores\"] = {\n \"walk\": ks[\"walk\"], \"transit\": ks[\"transit\"],\n \"bike\": ks[\"bike\"], \"calme\": ks[\"calme\"],\n \"services\": ks[\"services\"], \"global\": ks[\"glob\"],\n \"details\": json.loads(ks[\"details\"] or \"{}\"),\n \"version\": ks[\"version\"], \"computed_at\": ks[\"computed_at\"],\n }\n # statistiques de quartier (recensement, proximité, chaleur, criminalité)\n from . import quartier\n dauid = d.get(\"dauid\")\n d[\"quartier\"] = quartier.fiche_quartier(\n d.get(\"lat\"), d.get(\"lng\"), d.get(\"city\") or \"\",\n dauid if dauid and dauid != \"hors-zone\" else None)\n # description structurée + historique de prix\n d[\"digest\"] = json.loads(d[\"digest\"]) if d.get(\"digest\") else None\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 6\",\n (uid,)).fetchall()]\n con.close()\n if d is None:\n raise HTTPException(404, \"Annonce introuvable\")\n return d\n\n\n@app.get(\"/api/kascores/stats\")\ndef kascores_stats():\n \"\"\"Couverture, moyennes et version du barème — page « KA Scores ».\"\"\"\n from . import kascores\n return kascores.stats()\n\n\n@app.get(\"/api/facets\")\ndef facets(city: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\n\n `city` (optionnel) restreint la liste des quartiers à cette ville —\n utilisé par le sélecteur « Quartier » dépendant de « Ville ».\n \"\"\"\n con = db.connect()\n sector_sql = (\"SELECT DISTINCT sector FROM listings\"\n \" WHERE active=1 AND published=1 AND dup_of IS NULL\"\n \" AND sector<>''\")\n sector_args: list = []\n if city:\n sector_sql += \" AND city=?\"\n sector_args.append(city)\n out = {\n \"cities\": [r[\"city\"] for r in con.execute(\n \"SELECT DISTINCT city FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND city<>'' ORDER BY city\")],\n \"sectors\": [r[\"sector\"] for r in con.execute(\n sector_sql + \" ORDER BY sector\", sector_args)],\n \"unit_types\": [r[\"unit_type\"] for r in con.execute(\n \"SELECT DISTINCT unit_type FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL AND unit_type<>'' ORDER BY unit_type\")],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" AND dup_of IS NULL GROUP BY source ORDER BY n DESC\")],\n }\n con.close()\n return out\n\n\n@app.get(\"/api/sources\")\ndef sources():\n registry = json.loads(SOURCES_PATH.read_text(encoding=\"utf-8\"))[\"sources\"]\n con = db.connect()\n counts = {r[\"source\"]: r[\"n\"] for r in con.execute(\n \"SELECT source, COUNT(*) n FROM listings WHERE active=1 AND published=1\"\n \" GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_listings\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n# Villes de la grande région de Montréal (le reste de la province est\n# compté dans « autres » — Outaouais, Estrie, Mauricie, Est-du-Québec…)\n_VILLES_GM = (\n \"Montréal\", \"Montréal-Est\", \"Laval\", \"Longueuil\", \"Brossard\", \"Terrebonne\",\n \"Mascouche\", \"Repentigny\", \"Boucherville\", \"Saint-Lambert\", \"Westmount\",\n \"Côte Saint-Luc\", \"Dorval\", \"Pointe-Claire\", \"Verdun\", \"LaSalle\", \"Anjou\",\n \"Saint-Constant\", \"Delson\", \"Candiac\", \"Châteauguay\", \"Chambly\",\n \"Sainte-Julie\", \"Varennes\", \"Belœil\", \"McMasterville\", \"Mont-Saint-Hilaire\",\n \"Saint-Basile-le-Grand\", \"Saint-Bruno-de-Montarville\", \"Boisbriand\",\n \"Richelieu\", \"Beauharnois\", \"Salaberry-de-Valleyfield\", \"Vaudreuil-Dorion\",\n \"Kirkland\", \"Beaconsfield\", \"Dollard-des-Ormeaux\", \"Mont-Royal\", \"Outremont\",\n)\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n gm = \",\".join(\"?\" * len(_VILLES_GM))\n row = con.execute(\n f\"\"\"SELECT COUNT(*) total,\n SUM(CASE WHEN city='Québec' THEN 1 ELSE 0 END) quebec,\n SUM(CASE WHEN city='Lévis' THEN 1 ELSE 0 END) levis,\n SUM(CASE WHEN city IN ({gm}) THEN 1 ELSE 0 END) montreal,\n SUM(CASE WHEN city NOT IN ('Québec','Lévis') AND city NOT IN ({gm})\n THEN 1 ELSE 0 END) autres,\n COUNT(DISTINCT source) sources,\n AVG(price) avg_price\n FROM listings WHERE active=1 AND published=1 AND dup_of IS NULL\"\"\",\n list(_VILLES_GM) + list(_VILLES_GM)).fetchone()\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # qualité des données : complétude moyenne + quarantaine (quality.py)\n qual = con.execute(\n \"\"\"SELECT ROUND(AVG(completeness),1) avg_completeness,\n SUM(published=1) publiees, SUM(published=0) quarantaine\n FROM listings WHERE active=1\"\"\"\n ).fetchone()\n con.close()\n return {**dict(row), \"quality\": dict(qual), \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : louka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n# --- Module Stats commun Groupe KA (contrat frontend/src/ka/stats/SPEC.md) ---\n_PERIODES_VALIDES = {\"auj\", \"7j\", \"30j\", \"3m\", \"6m\", \"12m\", \"annee\", \"tout\"}\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None):\n \"\"\"Tableau de bord analytique (KPI, séries, répartitions, tableaux…).\"\"\"\n from . import statsdash\n if period not in _PERIODES_VALIDES and not (from_ and to):\n period = \"30j\"\n return statsdash.compute(period, from_, to)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(period: str = \"30j\",\n from_: str | None = Query(None, alias=\"from\"),\n to: str | None = None,\n mode: str = \"complet\"):\n \"\"\"Rapport statistique PDF estampillé Groupe-KA — 5 modes :\n complet | synthese | tendances | repartitions | donnees (inconnu → complet).\"\"\"\n from fastapi.responses import Response\n from . import kapdf, statsdash\n if period not in _PERIODES_VALIDES:\n period = \"perso\" if (from_ and to) else \"30j\"\n if mode not in kapdf.REPORT_MODES:\n mode = \"complet\"\n dash = statsdash.compute(period if period != \"perso\" else \"30j\",\n from_, to)\n eco = json.loads((ROOT / \"frontend\" / \"src\" / \"ka\" /\n \"ecosystem.json\").read_text(encoding=\"utf-8\"))\n site = next(s for s in eco[\"sites\"] if s[\"id\"] == \"lou-ka\")\n data = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode).build()\n fname = kapdf.filename(\"lou-ka\", period, mode)\n return Response(content=data, media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n f'attachment; filename=\"{fname}\"'})\n\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # référencement : SSR des routes publiques, robots.txt, sitemaps, 410.\n # Inclus AVANT le catch-all — l'ordre d'enregistrement fait foi.\n from . import seo # noqa: E402\n app.include_router(seo.router)\n\n @app.middleware(\"http\")\n async def _cache_headers(request, call_next):\n \"\"\"Politique de cache : les bundles hachés (/assets/…) sont immuables,\n mais index.html doit TOUJOURS être revalidé — sinon les navigateurs\n gardent une vieille version de l'app après un déploiement.\"\"\"\n resp = await call_next(request)\n path = request.url.path\n if path.startswith(\"/assets/\"):\n resp.headers[\"Cache-Control\"] = \"public, max-age=31536000, immutable\"\n elif \"text/html\" in (resp.headers.get(\"content-type\") or \"\"):\n resp.headers[\"Cache-Control\"] = \"no-cache\"\n return resp\n\n # routes de l'app rendues uniquement côté client (privées ou volatiles) —\n # tout autre chemin inconnu renvoie index.html avec un statut 404 : le\n # routeur React affiche sa page « introuvable », les moteurs de recherche\n # voient un vrai 404 (fin des soft-404).\n _CLIENT_ROUTES = {\"profil\", \"favoris\", \"gestion\", \"bienvenue\", \"bot\",\n \"contact\", \"juste-valeur\"}\n _CLIENT_PREFIXES = (\"u/\", \"passerelle/\")\n\n @app.get(\"/{full_path:path}\")\n def spa(full_path: str):\n target = FRONTEND_DIST / full_path\n if full_path and target.is_file():\n return FileResponse(target)\n known = (full_path in _CLIENT_ROUTES\n or any(full_path == p.rstrip(\"/\") or full_path.startswith(p)\n for p in _CLIENT_PREFIXES))\n return FileResponse(FRONTEND_DIST / \"index.html\",\n status_code=200 if known else 404,\n headers={\"Cache-Control\": \"no-cache\"})\n","structuredPatch":[{"oldStart":328,"oldLines":7,"newStart":328,"newLines":7,"lines":[" bbox: str | None = None, # ouest,sud,est,nord (zone visible carte)"," poly: str | None = None, # lng,lat;… (zone dessinée)"," kascore_min: float | None = None, # KA Score global minimal (0-100)","- sort: str = \"prix\", # prix | prix_desc | recent | deal | ka","+ sort: str = \"recent\", # recent (défaut) | prix | prix_desc | deal | ka"," page: int = 1,"," page_size: int = Query(20, ge=1, le=100),"," include: str = \"tout\", # tout | liste (points inchangés côté client)"]}],"userModified":false,"replaceAll":false}}}52{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"852cba2e-ea63-4252-a1bc-abc18cbbeffa","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}53{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQBw4pCwLszbCqjswE1","type":"message","role":"assistant","content":[{"type":"text","text":"Maintenant le front : défaut « recent » dans MapSearch + « Plus récentes » en tête du sélecteur."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":536,"cache_read_input_tokens":51771,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"ba86816a-02a5-489b-b7c1-69da475f2613"}}54{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQBw4pCwLszbCqjswE1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01M6R1KzJHamwzZTiYLXXnyu","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","old_string":"const SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"recent\", label: \"Plus récentes\" },","new_string":"const SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":536,"cache_read_input_tokens":51771,"cache_creation":{"ephemeral_5m_input_tokens":536,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"511cd7d1-5be7-4276-925b-87797196b4b7"}}55{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01M6R1KzJHamwzZTiYLXXnyu","type":"tool_result","content":"The file /Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx has been updated successfully."}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"41644625-aad1-46e1-8e70-3ed81f98bcd0","timestamp":"2026-08-22T20:15:16.244Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","oldString":"const SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"recent\", label: \"Plus récentes\" },","newString":"const SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// search/MapSearch.tsx : recherche synchronisée liste ↔ carte (Ka Maps).\n//\n// UNE SEULE VÉRITÉ PARTAGÉE — filtres + zone de carte + tri + page vivent\n// dans un état unique ; chaque changement déclenche UNE requête /api/search\n// qui renvoie à la fois la page de liste et tous les points carte, triés\n// pareil : le compteur de la liste est par construction égal au nombre de\n// marqueurs, et l'index d'un point donne directement sa page de liste.\n//\n// · carte → liste : déplacement (fin de geste, avec debounce), case\n// « Rechercher quand je déplace la carte », bouton « Rechercher dans\n// cette zone », polygone dessiné (puce retirable), clic cluster ;\n// · liste → carte : filtres (recadrage animé sauf si l'utilisateur a pris\n// la main — bouton « Recadrer sur les résultats »), tri partagé ;\n// · miroirs : survol carte↔liste (< 100 ms, feature-state GPU), clic\n// marqueur → défilement de la liste (page ajustée au besoin) + pulsation,\n// clic annonce → recentrage doux + mini-fiche ;\n// · mobile : carrousel bas d'écran synchronisé avec les marqueurs ;\n// · URL : caméra + tri + page + zone dessinée + mode de recherche.\n//\n// Ce composant est le modèle réutilisable Groupe-KA (immo-ka, resto-ka,\n// sorti-ka) : voir ~/apps/ka-maps/docs/SEARCH-SYNC.md.\n// -----------------------------------------------------------------------------\nimport {\n useCallback, useEffect, useMemo, useRef, useState,\n} from \"react\";\nimport { Link, useNavigate } from \"react-router-dom\";\nimport \"mapbox-gl/dist/mapbox-gl.css\";\nimport \"@groupe-ka/ka-maps/styles.css\";\nimport type { MapProperty } from \"@groupe-ka/ka-maps\";\nimport {\n bboxToString, cameraFromParams, cameraToParams, formatCompactPrice,\n} from \"@groupe-ka/ka-maps\";\nimport type { KaMap } from \"@groupe-ka/ka-maps\";\nimport {\n DrawControl, KaBrandBadge, KaMapView, LocateControl, PropertyPreview,\n Tilt3DControl, useKaMap,\n} from \"@groupe-ka/ka-maps/react\";\nimport {\n Listing, ListingFilters, SearchPoint, SearchResponse, SearchSort,\n fetchListing, fetchSearch, fmtPrice, sourceName, thumb,\n} from \"../api\";\nimport ListingCard from \"../components/ListingCard\";\nimport Pager from \"../components/Pager\";\nimport SmartImg from \"../components/SmartImg\";\nimport FairValueBadge from \"../components/FairValueBadge\";\nimport { IcoSearch } from \"../components/Icons\";\nimport { louKaMapTheme } from \"../kamaps/theme\";\nimport { MAPBOX_TOKEN } from \"../kamaps/config\";\nimport { seenUids } from \"./seen\";\n\nconst PAGE_SIZE = 20; // annonces par page (vue carte)\nconst QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };\n\nconst SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"deal\", label: \"Meilleures affaires\" },\n { key: \"ka\", label: \"Meilleur KA Score\" },\n];\n\n/** Points compacts → modèle canonique Ka Maps, avec écartement léger des\n * coordonnées EXACTEMENT identiques (unités d'un même immeuble) pour que\n * chaque pastille reste cliquable au zoom maximal (spiderfy discret). */\nfunction pointsToProperties(points: SearchPoint[]): MapProperty[] {\n const byCoord = new Map<string, number>();\n const out: MapProperty[] = [];\n for (const [uid, lng, lat, price, fv] of points) {\n const key = `${lng},${lat}`;\n const n = byCoord.get(key) ?? 0;\n byCoord.set(key, n + 1);\n let lng2 = lng, lat2 = lat;\n if (n > 0) {\n // cercle de ~9 m autour du point d'origine, déterministe\n const angle = n * 2.4; // angle d'or : pas d'alignement\n lng2 = lng + Math.cos(angle) * 0.00011;\n lat2 = lat + Math.sin(angle) * 0.00008;\n }\n out.push({\n id: uid,\n appSource: \"lou-ka\",\n longitude: lng2,\n latitude: lat2,\n kind: \"listing\",\n listingType: \"rent\",\n price: price ?? undefined,\n highlight: fv === \"s\", // sous le marché\n originalUrl: `/logement/${encodeURIComponent(uid)}`,\n });\n }\n return out;\n}\n\n/** Sérialisation du polygone pour l'URL et l'API : lng,lat;lng,lat;… */\nconst polyToString = (poly: [number, number][]): string =>\n poly.map(([lng, lat]) => `${lng.toFixed(6)},${lat.toFixed(6)}`).join(\";\");\n\nfunction polyFromString(text: string | null): [number, number][] | null {\n if (!text) return null;\n const pts: [number, number][] = [];\n for (const part of text.split(\";\")) {\n const [lng, lat] = part.split(\",\").map(Number);\n if (!Number.isFinite(lng) || !Number.isFinite(lat)) return null;\n pts.push([lng as number, lat as number]);\n }\n return pts.length >= 3 ? pts : null;\n}\n\n/** Pont : expose le moteur KaMap au composant parent (hors du canevas). */\nfunction EngineBridge({ onEngine }: { onEngine: (m: KaMap | null) => void }) {\n const map = useKaMap();\n useEffect(() => {\n onEngine(map);\n return () => onEngine(null);\n }, [map, onEngine]);\n return null;\n}\n\n/** Mini-fiche de marqueur : les points carte sont volontairement compacts,\n * le détail (photo, titre, dispo) est chargé à la sélection (rapide, mis\n * en cache) — même langage visuel que les cartes de la liste. */\nconst previewCache = new Map<string, Listing>();\n\nfunction LazyPreview({ p }: { p: MapProperty }) {\n const navigate = useNavigate();\n const [l, setL] = useState<Listing | null>(previewCache.get(p.id) ?? null);\n useEffect(() => {\n if (previewCache.has(p.id)) { setL(previewCache.get(p.id)!); return; }\n let dead = false;\n setL(null);\n fetchListing(p.id)\n .then((r) => {\n previewCache.set(p.id, r);\n if (previewCache.size > 80) {\n const first = previewCache.keys().next().value;\n if (first) previewCache.delete(first);\n }\n if (!dead) setL(r);\n })\n .catch(() => {});\n return () => { dead = true; };\n }, [p.id]);\n\n const img = l?.images?.[0] ?? null;\n return (\n <div className=\"mv-pop\">\n {img ? (\n <img src={thumb(img, 480)} alt=\"\" loading=\"lazy\" />\n ) : (\n <div className=\"mv-noimg\" aria-hidden=\"true\">⌂</div>\n )}\n <div className=\"mv-pop-body\">\n <div className=\"mv-pop-price\">\n {l ? fmtPrice(l.price, l.price_label) : p.price != null ? `${p.price.toLocaleString(\"fr-CA\")} $` : \"…\"}\n {(l?.price ?? p.price) != null && <small> /mois</small>}\n {l && <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />}\n </div>\n <div className=\"mv-pop-title\">{l ? (l.title || l.address) : \"Chargement…\"}</div>\n <div className=\"mv-pop-meta\">\n {[l?.unit_type, l?.area_sqft ? `${Math.round(l.area_sqft)} pi²` : \"\", l?.availability]\n .filter(Boolean).join(\" · \")}\n </div>\n <div className=\"mv-pop-src\">{l ? sourceName(l.source) : \"\"}</div>\n <a\n className=\"mv-pop-cta\"\n href={`/logement/${encodeURIComponent(p.id)}`}\n onClick={(e) => { e.preventDefault(); navigate(`/logement/${encodeURIComponent(p.id)}`); }}\n >\n Voir la fiche →\n </a>\n </div>\n </div>\n );\n}\n\nexport interface MapSearchProps {\n filters: ListingFilters;\n /** Compteur partagé remonté à l'entête de résultats de la page. */\n onTotal?: (total: number | null) => void;\n}\n\ninterface Query {\n bboxStr: string | null; // zone visible (gestes utilisateur uniquement)\n poly: string | null; // zone dessinée (prime sur la zone visible)\n sort: SearchSort;\n page: number;\n}\n\nexport default function MapSearch({ filters, onTotal }: MapSearchProps) {\n const initialParams = useMemo(\n () => new URLSearchParams(window.location.search), []);\n const initialCamera = useMemo(\n () => cameraFromParams(initialParams), [initialParams]);\n\n // --- état de recherche partagé (la « seule vérité ») ---\n const [qy, setQy] = useState<Query>(() => {\n const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\n page: Number.isFinite(p) && p >= 1 ? Math.floor(p) : 1,\n };\n });\n const [searchOnMove, setSearchOnMove] = useState(\n initialParams.get(\"move\") !== \"0\");\n const [dirty, setDirty] = useState(false); // zone divergée (mode manuel)\n const [userLocked, setUserLocked] = useState(initialCamera !== null);\n const [drawing, setDrawing] = useState(false);\n\n // URL avec caméra partagée : attendre la carte pour connaître la zone\n // visible AVANT la première requête (la liste doit refléter cette zone).\n const [bootstrapped, setBootstrapped] = useState(initialCamera === null);\n const bootstrappedRef = useRef(bootstrapped);\n\n const [res, setRes] = useState<SearchResponse | null>(null);\n const [points, setPoints] = useState<SearchPoint[]>([]);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState<string | null>(null);\n\n const [engine, setEngine] = useState<KaMap | null>(null);\n const [selectedUid, setSelectedUid] = useState<string | null>(null);\n const [mapHoverUid, setMapHoverUid] = useState<string | null>(null);\n const [hoverOffscreen, setHoverOffscreen] = useState<\"haut\" | \"bas\" | null>(null);\n const [clusterTip, setClusterTip] = useState<\n { count: number; min: number | null; max: number | null; x: number; y: number } | null\n >(null);\n const [isMobile, setIsMobile] = useState(\n () => window.matchMedia(\"(max-width: 780px)\").matches);\n\n // --- refs de pilotage (valeurs à jour dans les callbacks carte) ---\n const engineRef = useRef<KaMap | null>(null);\n const qyRef = useRef(qy); qyRef.current = qy;\n const searchOnMoveRef = useRef(searchOnMove); searchOnMoveRef.current = searchOnMove;\n const userLockedRef = useRef(userLocked); userLockedRef.current = userLocked;\n const seqRef = useRef(0);\n const ctrlRef = useRef<AbortController | null>(null);\n const debounceMsRef = useRef(0);\n const pointsKeyRef = useRef<string>(\"\");\n const fitAfterRef = useRef(initialCamera === null); // recadrer au 1er résultat\n const pendingScrollUidRef = useRef<string | null>(null);\n const carouselDrivenRef = useRef(false);\n const listRef = useRef<HTMLDivElement | null>(null);\n const carouselRef = useRef<HTMLDivElement | null>(null);\n\n const filtersClean = useMemo(() => {\n const f: Record<string, string> = {};\n for (const [k, v] of Object.entries(filters)) {\n if (v && k !== \"sort\") f[k] = String(v);\n }\n return f;\n }, [filters]);\n const filtersKey = useMemo(() => JSON.stringify(filtersClean), [filtersClean]);\n\n useEffect(() => {\n const mq = window.matchMedia(\"(max-width: 780px)\");\n const update = () => setIsMobile(mq.matches);\n mq.addEventListener(\"change\", update);\n return () => mq.removeEventListener(\"change\", update);\n }, []);\n\n // --- filtres modifiés : page 1, recadrage si l'utilisateur n'a pas la main\n const firstFiltersRun = useRef(true);\n useEffect(() => {\n if (firstFiltersRun.current) { firstFiltersRun.current = false; return; }\n if (!userLockedRef.current) {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n } else {\n setQy((q) => ({ ...q, page: 1 }));\n }\n }, [filtersKey]);\n\n // --- LA requête unifiée : une réponse = page de liste + points carte ---\n const qyKey = useMemo(() => JSON.stringify(qy), [qy]);\n useEffect(() => {\n if (!bootstrapped) return;\n const { bboxStr, poly, sort, page } = qyRef.current;\n const pKey = `${filtersKey}|${poly ?? bboxStr ?? \"\"}|${sort}`;\n const wait = debounceMsRef.current;\n debounceMsRef.current = 0;\n\n const timer = window.setTimeout(() => {\n ctrlRef.current?.abort();\n const ctrl = new AbortController();\n ctrlRef.current = ctrl;\n const mySeq = ++seqRef.current;\n setLoading(true);\n setError(null);\n fetchSearch(\n {\n ...filtersClean,\n bbox: poly ? undefined : bboxStr ?? undefined,\n poly: poly ?? undefined,\n sort, page, page_size: PAGE_SIZE,\n include: pKey === pointsKeyRef.current ? \"liste\" : \"tout\",\n },\n ctrl.signal,\n )\n .then((r) => {\n if (mySeq !== seqRef.current) return; // réponse périmée : ignorée\n setLoading(false);\n setRes(r);\n if (r.points) {\n setPoints(r.points);\n pointsKeyRef.current = pKey;\n }\n if (r.page !== qyRef.current.page) {\n // page ramenée dans les bornes par le serveur (filtre resserré)\n setQy((q) => ({ ...q, page: r.page }));\n }\n // recadrage sur les résultats — si la carte n'est pas encore\n // prête (premier chargement), l'effet données→carte le fera\n if (fitAfterRef.current && engineRef.current && r.points?.length) {\n fitAfterRef.current = false;\n engineRef.current.fitToProperties(pointsToProperties(r.points), {\n padding: 72, maxZoom: 16,\n });\n }\n })\n .catch((e) => {\n if (ctrl.signal.aborted || mySeq !== seqRef.current) return;\n setLoading(false);\n setError(String(e));\n });\n }, wait);\n return () => window.clearTimeout(timer);\n }, [filtersKey, qyKey, filtersClean, bootstrapped]);\n\n // compteur partagé remonté à la page\n useEffect(() => {\n onTotal?.(res?.total ?? null);\n return () => onTotal?.(null);\n }, [res?.total, onTotal]);\n\n // --- URL : tri + page + zone + mode (la caméra est gérée au moveend) ---\n useEffect(() => {\n const url = new URL(window.location.href);\n const set = (k: string, v: string | null) =>\n v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);\n set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\n set(\"page\", qy.page > 1 ? String(qy.page) : null);\n set(\"zone\", qy.poly);\n set(\"move\", searchOnMove ? null : \"0\");\n window.history.replaceState(null, \"\", url);\n }, [qy.sort, qy.page, qy.poly, searchOnMove]);\n\n // --- moteur prêt : polygone restauré, annonces « vues » ---\n const handleEngine = useCallback((m: KaMap | null) => {\n engineRef.current = m;\n setEngine(m);\n if (!m) return;\n m.setSeenIds(seenUids());\n const zone = polyFromString(qyRef.current.poly);\n if (zone) m.setDrawnPolygon(zone);\n // Caméra restaurée depuis l'URL : la zone visible devient la contrainte\n // spatiale de la première requête (lien partagé = même recherche).\n if (!bootstrappedRef.current) {\n bootstrappedRef.current = true;\n const b = m.currentBBox();\n if (b && !zone) setQy((q) => ({ ...q, bboxStr: bboxToString(b) }));\n setBootstrapped(true);\n }\n }, []);\n\n // --- données → carte (poussées, pas d'adaptateur : une seule requête) ---\n const mapProperties = useMemo(() => pointsToProperties(points), [points]);\n useEffect(() => {\n if (!engine) return;\n engine.setProperties(mapProperties);\n engine.setSeenIds(seenUids());\n // premier chargement : la réponse est souvent arrivée avant la carte —\n // le recadrage en attente s'applique dès que les deux sont prêts\n if (fitAfterRef.current && mapProperties.length > 0) {\n fitAfterRef.current = false;\n engine.fitToProperties(mapProperties, { padding: 72, maxZoom: 16 });\n }\n }, [engine, mapProperties]);\n\n // index uid → position dans le tri (= page de liste, sans requête)\n const uidIndex = useMemo(() => {\n const m = new Map<string, number>();\n points.forEach((p, i) => m.set(p[0], i));\n return m;\n }, [points]);\n\n // --- géolocalisation d'accueil / « Me localiser » : recentrer sur la\n // position et synchroniser la liste sur cette zone ---\n useEffect(() => {\n const handler = (e: Event) => {\n const { lat, lng } = (e as CustomEvent<{ lat: number; lng: number }>).detail;\n const m = engineRef.current;\n if (!m) return;\n setUserLocked(true);\n userLockedRef.current = true;\n m.flyTo({ lng, lat }, { zoom: 13.5, duration: 900 });\n window.setTimeout(() => {\n const b = engineRef.current?.currentBBox();\n if (b) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: null, bboxStr: bboxToString(b) }));\n }\n }, 950);\n };\n window.addEventListener(\"louka:geolocate\", handler);\n return () => window.removeEventListener(\"louka:geolocate\", handler);\n }, []);\n\n // --- geste sur la carte ---\n const onMoveEnd = useCallback(\n (center: { lat: number; lng: number }, zoom: number, byUser: boolean) => {\n const url = new URL(window.location.href);\n url.search = cameraToParams({ ...center, zoom }, url.searchParams).toString();\n window.history.replaceState(null, \"\", url);\n if (!byUser) return; // fitBounds/recentrages : rien\n setUserLocked(true);\n userLockedRef.current = true;\n if (qyRef.current.poly) return; // la zone dessinée prime\n const engineNow = engineRef.current;\n const b = engineNow?.currentBBox();\n if (!b) return;\n const bboxStr = bboxToString(b);\n if (searchOnMoveRef.current) {\n debounceMsRef.current = 280; // fin de geste + petite marge\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr }));\n } else {\n setDirty(true);\n }\n }, []);\n\n const searchThisArea = useCallback(() => {\n const b = engineRef.current?.currentBBox();\n if (!b) return;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(b) }));\n }, []);\n\n const refitToResults = useCallback(() => {\n setUserLocked(false);\n userLockedRef.current = false;\n setDirty(false);\n if (qyRef.current.bboxStr === null) {\n // requête déjà « tous les résultats » : recadrage immédiat\n engineRef.current?.fitToProperties(undefined, { padding: 72, maxZoom: 16 });\n } else {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n }\n }, []);\n\n const widenArea = useCallback(() => {\n const m = engineRef.current;\n if (!m) return;\n // « Élargir la zone » : dézoome — le moveend (byUser côté moteur ? non,\n // easeTo interne) ; on déclenche la recherche élargie explicitement.\n const b = m.currentBBox();\n m.flyTo({ lng: m.map.getCenter().lng, lat: m.map.getCenter().lat }, {\n zoom: Math.max(4, m.map.getZoom() - 1.6), duration: 650,\n });\n if (b) {\n window.setTimeout(() => {\n const nb = engineRef.current?.currentBBox();\n if (nb) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(nb) }));\n }\n }, 700);\n }\n }, []);\n\n // --- polygone dessiné ---\n const onDraw = useCallback((polygon: [number, number][] | null, isDrawing: boolean) => {\n setDrawing(isDrawing);\n if (isDrawing) return;\n const polyStr = polygon ? polyToString(polygon) : null;\n if (polyStr === qyRef.current.poly) return;\n if (polyStr) {\n fitAfterRef.current = true;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: polyStr, bboxStr: null }));\n } else {\n const b = engineRef.current?.currentBBox();\n setQy((q) => ({\n ...q, page: 1, poly: null,\n bboxStr: userLockedRef.current && b ? bboxToString(b) : null,\n }));\n }\n }, []);\n\n const clearZone = useCallback(() => {\n engineRef.current?.clearDrawnPolygon(); // onDraw fera le reste\n }, []);\n\n // --- sélection : marqueur ↔ annonce, toujours, quelle que soit la page ---\n const scrollToCard = useCallback((uid: string, pulse: boolean) => {\n const sel = `[data-uid=\"${CSS.escape(uid)}\"]`;\n const card = listRef.current?.querySelector<HTMLElement>(sel);\n if (card) {\n card.scrollIntoView({ behavior: \"smooth\", block: \"nearest\" });\n if (pulse) {\n card.classList.remove(\"map-card-pulse\");\n void card.offsetWidth; // relance l'animation\n card.classList.add(\"map-card-pulse\");\n }\n }\n const carItem = carouselRef.current?.querySelector<HTMLElement>(sel);\n if (carItem && carouselRef.current) {\n carouselRef.current.scrollTo({\n left: carItem.offsetLeft - 12, behavior: \"smooth\",\n });\n }\n }, []);\n\n const onSelect = useCallback((p: MapProperty | null, origin: \"map\" | \"app\") => {\n const uid = p?.id ?? null;\n setSelectedUid(uid);\n if (!uid) return;\n if (carouselDrivenRef.current) { // déjà au bon endroit\n carouselDrivenRef.current = false;\n return;\n }\n const idx = uidIndex.get(uid);\n if (idx === undefined) return;\n const targetPage = Math.floor(idx / PAGE_SIZE) + 1;\n if (targetPage !== qyRef.current.page) {\n pendingScrollUidRef.current = uid;\n setQy((q) => ({ ...q, page: targetPage }));\n } else {\n scrollToCard(uid, origin === \"map\");\n }\n }, [uidIndex, scrollToCard]);\n\n // défilement différé (la page vient de changer pour révéler l'annonce)\n useEffect(() => {\n const uid = pendingScrollUidRef.current;\n if (!uid || !res) return;\n if (res.listings.some((l) => l.uid === uid)) {\n pendingScrollUidRef.current = null;\n requestAnimationFrame(() => scrollToCard(uid, true));\n }\n }, [res, scrollToCard]);\n\n // --- survol carte → liste : surlignage + indicateur hors écran ---\n const onHover = useCallback((p: MapProperty | null) => {\n setMapHoverUid(p?.id ?? null);\n }, []);\n useEffect(() => {\n if (!mapHoverUid || !listRef.current) { setHoverOffscreen(null); return; }\n const card = listRef.current.querySelector<HTMLElement>(\n `[data-uid=\"${CSS.escape(mapHoverUid)}\"]`);\n if (!card) { setHoverOffscreen(null); return; }\n const list = listRef.current.getBoundingClientRect();\n const rect = card.getBoundingClientRect();\n if (rect.bottom < list.top + 8) setHoverOffscreen(\"haut\");\n else if (rect.top > list.bottom - 8) setHoverOffscreen(\"bas\");\n else setHoverOffscreen(null);\n }, [mapHoverUid]);\n\n // --- carrousel mobile : balayage → sélection sur la carte ---\n const carouselScrollTimer = useRef<number | null>(null);\n const onCarouselScroll = useCallback(() => {\n if (carouselScrollTimer.current) window.clearTimeout(carouselScrollTimer.current);\n carouselScrollTimer.current = window.setTimeout(() => {\n const el = carouselRef.current;\n if (!el || !res) return;\n const children = Array.from(el.children) as HTMLElement[];\n const center = el.scrollLeft + el.clientWidth / 2;\n let best = 0, bestD = Infinity;\n children.forEach((c, i) => {\n const d = Math.abs(c.offsetLeft + c.offsetWidth / 2 - center);\n if (d < bestD) { bestD = d; best = i; }\n });\n const uid = res.listings[best]?.uid;\n if (uid && uid !== selectedUid) {\n carouselDrivenRef.current = true;\n engineRef.current?.select(uid, \"app\");\n setSelectedUid(uid);\n }\n }, 140);\n }, [res, selectedUid]);\n\n // --- clic sur une carte d'annonce : recentre + mini-fiche (1er clic),\n // navigation vers la fiche (2e clic ou Cmd/Ctrl-clic) ---\n const onCardClick = useCallback((e: React.MouseEvent, uid: string) => {\n if (e.metaKey || e.ctrlKey || e.button !== 0) return; // nouvel onglet\n if (selectedUid === uid) return; // 2e clic : fiche\n e.preventDefault();\n engineRef.current?.select(uid, \"app\");\n }, [selectedUid]);\n\n // Amener l'écran sur la recherche à l'ouverture de la vue carte (arrivée\n // directe /?view=carte, géolocalisation, ou clic sur l'onglet Carte) —\n // sinon le héro cache la carte et la synchro se joue sous le pli.\n const rootRef = useRef<HTMLDivElement | null>(null);\n useEffect(() => {\n const t = window.setTimeout(() => {\n rootRef.current?.scrollIntoView({ block: \"start\", behavior: \"smooth\" });\n }, 120);\n return () => window.clearTimeout(t);\n }, []);\n\n const listings = res?.listings ?? [];\n const total = res?.total ?? null;\n const unpositioned = res?.unpositioned ?? 0;\n const hasZone = qy.poly !== null;\n\n return (\n <div className=\"map-split ms\" ref={rootRef}>\n {/* ---------------- volet liste (desktop / tablette) ---------------- */}\n <div className=\"map-list ms-list\" aria-label=\"Résultats en liste\" ref={listRef}>\n <div className=\"ms-list-head\">\n <div className=\"ms-count\" role=\"status\" aria-live=\"polite\">\n {total === null ? \"…\" : (\n <>\n <b>{total.toLocaleString(\"fr-CA\")}</b>\n {\" \"}logement{total > 1 ? \"s\" : \"\"}\n {hasZone ? \" dans la zone dessinée\" : \"\"}\n </>\n )}\n {unpositioned > 0 && (\n <span\n className=\"ms-nopos\"\n title=\"Annonces correspondant aux filtres mais sans position géocodée — visibles en vue Liste seulement\"\n >\n +{unpositioned} sans position\n </span>\n )}\n </div>\n <label className=\"ms-sort\">\n <span>Tri</span>\n <select\n value={qy.sort}\n onChange={(e) => setQy((q) => ({\n ...q, page: 1, sort: e.target.value as SearchSort,\n }))}\n >\n {SORT_CHOICES.map((s) => (\n <option key={s.key} value={s.key}>{s.label}</option>\n ))}\n </select>\n </label>\n </div>\n\n {hasZone && (\n <div className=\"pills ms-pills\">\n <button className=\"pill\" onClick={clearZone} aria-label=\"Retirer la zone dessinée\">\n Zone dessinée <span className=\"pill-x\">✕</span>\n </button>\n </div>\n )}\n {userLocked && total !== null && total > 0 && !hasZone && (\n <button className=\"ms-refit\" onClick={refitToResults}>\n ⌖ Recadrer sur les résultats\n </button>\n )}\n\n {loading && <div className=\"ms-progress\" aria-hidden=\"true\" />}\n\n {error && (\n <div className=\"ms-empty\">\n <h3>Impossible de charger les résultats</h3>\n <p>{error}</p>\n </div>\n )}\n\n {!error && total === 0 && (\n <div className=\"ms-empty\" role=\"status\">\n <div className=\"big\"><IcoSearch size={34} /></div>\n <h3>Aucun logement dans cette zone</h3>\n <p>Élargissez la carte ou modifiez vos filtres.</p>\n <div className=\"ms-empty-actions\">\n <button className=\"btn btn-primary\" onClick={widenArea}>\n Élargir la zone\n </button>\n {hasZone && (\n <button className=\"btn btn-ghost\" onClick={clearZone}>\n Effacer la zone dessinée\n </button>\n )}\n </div>\n </div>\n )}\n\n {!error && listings.map((l) => (\n <div\n key={l.uid}\n data-uid={l.uid}\n className={\n \"map-card\" +\n (selectedUid === l.uid ? \" map-card-sel\" : \"\") +\n (mapHoverUid === l.uid ? \" map-card-hover\" : \"\")\n }\n onMouseEnter={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onMouseLeave={() => engineRef.current?.setHovered(null, \"app\")}\n onFocus={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onBlur={() => engineRef.current?.setHovered(null, \"app\")}\n onClickCapture={(e) => onCardClick(e, l.uid)}\n >\n <ListingCard l={l} />\n </div>\n ))}\n\n {!error && total !== null && total > 0 && (\n <Pager\n page={qy.page} pageSize={PAGE_SIZE} total={total}\n onPage={(p) => {\n setQy((q) => ({ ...q, page: p }));\n listRef.current?.scrollTo({ top: 0, behavior: \"smooth\" });\n }}\n />\n )}\n\n {hoverOffscreen && (\n <div className={`ms-hover-hint ${hoverOffscreen}`} aria-hidden=\"true\">\n {hoverOffscreen === \"haut\" ? \"▲ Annonce plus haut\" : \"▼ Annonce plus bas\"}\n </div>\n )}\n </div>\n\n {/* ------------------------------ carte ------------------------------ */}\n <div className=\"mapview\" role=\"application\" aria-label=\"Carte des logements\">\n <KaMapView\n theme={louKaMapTheme}\n mapboxToken={MAPBOX_TOKEN}\n center={initialCamera ?? QUEBEC}\n zoom={(initialCamera ?? QUEBEC).zoom}\n pitch={50}\n basemap={{ theme: \"default\", showLandmarks: true }}\n cluster={{ maxZoom: 15, valueClamp: [250, 8000] }}\n onMoveEnd={onMoveEnd}\n onSelect={onSelect}\n onHover={onHover}\n onDraw={onDraw}\n onClusterHover={setClusterTip}\n >\n <EngineBridge onEngine={handleEngine} />\n <SelectionMirror selectedUid={selectedUid} />\n <KaBrandBadge />\n <Tilt3DControl />\n <DrawControl />\n <LocateControl />\n\n {/* « Rechercher quand je déplace la carte » + zone divergée */}\n <div className=\"ka-search-area\" role=\"group\" aria-label=\"Recherche géographique\">\n {dirty && !searchOnMove && !hasZone && (\n <button type=\"button\" className=\"ka-search-area-btn\"\n onClick={searchThisArea} disabled={loading}>\n {loading ? \"Recherche…\" : \"Rechercher dans cette zone\"}\n </button>\n )}\n {!hasZone && !drawing && (\n <label className=\"ka-search-area-auto\">\n <input\n type=\"checkbox\"\n checked={searchOnMove}\n onChange={() => {\n const next = !searchOnMove;\n setSearchOnMove(next);\n if (next && dirty) searchThisArea();\n }}\n />\n <span>Rechercher quand je déplace la carte</span>\n </label>\n )}\n </div>\n\n {loading && (\n <div className=\"ka-loading\" role=\"status\" aria-live=\"polite\">\n <span className=\"ka-loading-dot\" aria-hidden=\"true\" />\n Mise à jour des logements…\n </div>\n )}\n\n {total === 0 && !loading && (\n <div className=\"ka-empty\" role=\"status\">\n <strong>Aucun logement dans cette zone.</strong>\n <span>Élargissez la carte ou modifiez vos filtres.</span>\n </div>\n )}\n\n {clusterTip && (\n <div\n className=\"ka-cluster-tip\"\n style={{ left: clusterTip.x, top: clusterTip.y }}\n >\n {clusterTip.count.toLocaleString(\"fr-CA\")} logements\n {clusterTip.min != null && clusterTip.max != null && (\n <small>\n {clusterTip.min === clusterTip.max\n ? formatCompactPrice(clusterTip.min)\n : `${formatCompactPrice(clusterTip.min)} – ${formatCompactPrice(clusterTip.max)}`}\n {\" \"}/mois\n </small>\n )}\n </div>\n )}\n\n {!isMobile && <PropertyPreview render={(p) => <LazyPreview p={p} />} />}\n </KaMapView>\n\n {/* ---------- carrousel mobile synchronisé aux marqueurs ---------- */}\n {isMobile && listings.length > 0 && (\n <div\n className=\"ms-carousel\"\n ref={carouselRef}\n onScroll={onCarouselScroll}\n aria-label=\"Annonces de la zone visible\"\n >\n {listings.map((l) => (\n <Link\n key={l.uid}\n to={`/logement/${encodeURIComponent(l.uid)}`}\n data-uid={l.uid}\n className={`ms-car-item${selectedUid === l.uid ? \" sel\" : \"\"}`}\n >\n <SmartImg\n src={l.images?.[0] ?? null} width_={160}\n fallbackLabel={l.unit_type || undefined}\n alt=\"\" loading=\"lazy\" decoding=\"async\"\n />\n <div className=\"ms-car-body\">\n <div className=\"ms-car-price\">\n {fmtPrice(l.price, l.price_label)}\n <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />\n </div>\n <div className=\"ms-car-title\">{l.title || l.address}</div>\n <div className=\"ms-car-meta\">\n {[l.unit_type, l.sector || l.city].filter(Boolean).join(\" · \")}\n </div>\n </div>\n </Link>\n ))}\n {total !== null && total > qy.page * PAGE_SIZE && (\n <button\n className=\"ms-car-more\"\n onClick={(e) => {\n e.preventDefault();\n setQy((q) => ({ ...q, page: q.page + 1 }));\n carouselRef.current?.scrollTo({ left: 0 });\n }}\n >\n Page suivante →\n </button>\n )}\n </div>\n )}\n </div>\n </div>\n );\n}\n\n/** Pont déclaratif : reflète la sélection venue de l'app vers le moteur.\n * (Le survol liste→carte passe directement par setHovered — < 100 ms.) */\nfunction SelectionMirror({ selectedUid }: { selectedUid: string | null }) {\n const map = useKaMap();\n useEffect(() => { map?.select(selectedUid, \"app\"); }, [map, selectedUid]);\n return null;\n}\n","structuredPatch":[{"oldStart":55,"oldLines":9,"newStart":55,"newLines":9,"lines":[" const QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };"," "," const SORT_CHOICES: { key: SearchSort; label: string }[] = [","+ { key: \"recent\", label: \"Plus récentes\" },"," { key: \"prix\", label: \"Prix croissant\" },"," { key: \"prix_desc\", label: \"Prix décroissant\" },","- { key: \"recent\", label: \"Plus récentes\" },"," { key: \"deal\", label: \"Meilleures affaires\" },"," { key: \"ka\", label: \"Meilleur KA Score\" },"," ];"]}],"userModified":false,"replaceAll":false}}}56{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQBw4pCwLszbCqjswE1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QuyCvkHZ1ZNmfxmxdLV3KX","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","old_string":" const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? 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\"prix\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",","newString":" const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"recent\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"recent\",","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// search/MapSearch.tsx : recherche synchronisée liste ↔ carte (Ka Maps).\n//\n// UNE SEULE VÉRITÉ PARTAGÉE — filtres + zone de carte + tri + page vivent\n// dans un état unique ; chaque changement déclenche UNE requête /api/search\n// qui renvoie à la fois la page de liste et tous les points carte, triés\n// pareil : le compteur de la liste est par construction égal au nombre de\n// marqueurs, et l'index d'un point donne directement sa page de liste.\n//\n// · carte → liste : déplacement (fin de geste, avec debounce), case\n// « Rechercher quand je déplace la carte », bouton « Rechercher dans\n// cette zone », polygone dessiné (puce retirable), clic cluster ;\n// · liste → carte : filtres (recadrage animé sauf si l'utilisateur a pris\n// la main — bouton « Recadrer sur les résultats »), tri partagé ;\n// · miroirs : survol carte↔liste (< 100 ms, feature-state GPU), clic\n// marqueur → défilement de la liste (page ajustée au besoin) + pulsation,\n// clic annonce → recentrage doux + mini-fiche ;\n// · mobile : carrousel bas d'écran synchronisé avec les marqueurs ;\n// · URL : caméra + tri + page + zone dessinée + mode de recherche.\n//\n// Ce composant est le modèle réutilisable Groupe-KA (immo-ka, resto-ka,\n// sorti-ka) : voir ~/apps/ka-maps/docs/SEARCH-SYNC.md.\n// -----------------------------------------------------------------------------\nimport {\n useCallback, useEffect, useMemo, useRef, useState,\n} from \"react\";\nimport { Link, useNavigate } from \"react-router-dom\";\nimport \"mapbox-gl/dist/mapbox-gl.css\";\nimport \"@groupe-ka/ka-maps/styles.css\";\nimport type { MapProperty } from \"@groupe-ka/ka-maps\";\nimport {\n bboxToString, cameraFromParams, cameraToParams, formatCompactPrice,\n} from \"@groupe-ka/ka-maps\";\nimport type { KaMap } from \"@groupe-ka/ka-maps\";\nimport {\n DrawControl, KaBrandBadge, KaMapView, LocateControl, PropertyPreview,\n Tilt3DControl, useKaMap,\n} from \"@groupe-ka/ka-maps/react\";\nimport {\n Listing, ListingFilters, SearchPoint, SearchResponse, SearchSort,\n fetchListing, fetchSearch, fmtPrice, sourceName, thumb,\n} from \"../api\";\nimport ListingCard from \"../components/ListingCard\";\nimport Pager from \"../components/Pager\";\nimport SmartImg from \"../components/SmartImg\";\nimport FairValueBadge from \"../components/FairValueBadge\";\nimport { IcoSearch } from \"../components/Icons\";\nimport { louKaMapTheme } from \"../kamaps/theme\";\nimport { MAPBOX_TOKEN } from \"../kamaps/config\";\nimport { seenUids } from \"./seen\";\n\nconst PAGE_SIZE = 20; // annonces par page (vue carte)\nconst QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };\n\nconst SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"deal\", label: \"Meilleures affaires\" },\n { key: \"ka\", label: \"Meilleur KA Score\" },\n];\n\n/** Points compacts → modèle canonique Ka Maps, avec écartement léger des\n * coordonnées EXACTEMENT identiques (unités d'un même immeuble) pour que\n * chaque pastille reste cliquable au zoom maximal (spiderfy discret). */\nfunction pointsToProperties(points: SearchPoint[]): MapProperty[] {\n const byCoord = new Map<string, number>();\n const out: MapProperty[] = [];\n for (const [uid, lng, lat, price, fv] of points) {\n const key = `${lng},${lat}`;\n const n = byCoord.get(key) ?? 0;\n byCoord.set(key, n + 1);\n let lng2 = lng, lat2 = lat;\n if (n > 0) {\n // cercle de ~9 m autour du point d'origine, déterministe\n const angle = n * 2.4; // angle d'or : pas d'alignement\n lng2 = lng + Math.cos(angle) * 0.00011;\n lat2 = lat + Math.sin(angle) * 0.00008;\n }\n out.push({\n id: uid,\n appSource: \"lou-ka\",\n longitude: lng2,\n latitude: lat2,\n kind: \"listing\",\n listingType: \"rent\",\n price: price ?? undefined,\n highlight: fv === \"s\", // sous le marché\n originalUrl: `/logement/${encodeURIComponent(uid)}`,\n });\n }\n return out;\n}\n\n/** Sérialisation du polygone pour l'URL et l'API : lng,lat;lng,lat;… */\nconst polyToString = (poly: [number, number][]): string =>\n poly.map(([lng, lat]) => `${lng.toFixed(6)},${lat.toFixed(6)}`).join(\";\");\n\nfunction polyFromString(text: string | null): [number, number][] | null {\n if (!text) return null;\n const pts: [number, number][] = [];\n for (const part of text.split(\";\")) {\n const [lng, lat] = part.split(\",\").map(Number);\n if (!Number.isFinite(lng) || !Number.isFinite(lat)) return null;\n pts.push([lng as number, lat as number]);\n }\n return pts.length >= 3 ? pts : null;\n}\n\n/** Pont : expose le moteur KaMap au composant parent (hors du canevas). */\nfunction EngineBridge({ onEngine }: { onEngine: (m: KaMap | null) => void }) {\n const map = useKaMap();\n useEffect(() => {\n onEngine(map);\n return () => onEngine(null);\n }, [map, onEngine]);\n return null;\n}\n\n/** Mini-fiche de marqueur : les points carte sont volontairement compacts,\n * le détail (photo, titre, dispo) est chargé à la sélection (rapide, mis\n * en cache) — même langage visuel que les cartes de la liste. */\nconst previewCache = new Map<string, Listing>();\n\nfunction LazyPreview({ p }: { p: MapProperty }) {\n const navigate = useNavigate();\n const [l, setL] = useState<Listing | null>(previewCache.get(p.id) ?? null);\n useEffect(() => {\n if (previewCache.has(p.id)) { setL(previewCache.get(p.id)!); return; }\n let dead = false;\n setL(null);\n fetchListing(p.id)\n .then((r) => {\n previewCache.set(p.id, r);\n if (previewCache.size > 80) {\n const first = previewCache.keys().next().value;\n if (first) previewCache.delete(first);\n }\n if (!dead) setL(r);\n })\n .catch(() => {});\n return () => { dead = true; };\n }, [p.id]);\n\n const img = l?.images?.[0] ?? null;\n return (\n <div className=\"mv-pop\">\n {img ? (\n <img src={thumb(img, 480)} alt=\"\" loading=\"lazy\" />\n ) : (\n <div className=\"mv-noimg\" aria-hidden=\"true\">⌂</div>\n )}\n <div className=\"mv-pop-body\">\n <div className=\"mv-pop-price\">\n {l ? fmtPrice(l.price, l.price_label) : p.price != null ? `${p.price.toLocaleString(\"fr-CA\")} $` : \"…\"}\n {(l?.price ?? p.price) != null && <small> /mois</small>}\n {l && <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />}\n </div>\n <div className=\"mv-pop-title\">{l ? (l.title || l.address) : \"Chargement…\"}</div>\n <div className=\"mv-pop-meta\">\n {[l?.unit_type, l?.area_sqft ? `${Math.round(l.area_sqft)} pi²` : \"\", l?.availability]\n .filter(Boolean).join(\" · \")}\n </div>\n <div className=\"mv-pop-src\">{l ? sourceName(l.source) : \"\"}</div>\n <a\n className=\"mv-pop-cta\"\n href={`/logement/${encodeURIComponent(p.id)}`}\n onClick={(e) => { e.preventDefault(); navigate(`/logement/${encodeURIComponent(p.id)}`); }}\n >\n Voir la fiche →\n </a>\n </div>\n </div>\n );\n}\n\nexport interface MapSearchProps {\n filters: ListingFilters;\n /** Compteur partagé remonté à l'entête de résultats de la page. */\n onTotal?: (total: number | null) => void;\n}\n\ninterface Query {\n bboxStr: string | null; // zone visible (gestes utilisateur uniquement)\n poly: string | null; // zone dessinée (prime sur la zone visible)\n sort: SearchSort;\n page: number;\n}\n\nexport default function MapSearch({ filters, onTotal }: MapSearchProps) {\n const initialParams = useMemo(\n () => new URLSearchParams(window.location.search), []);\n const initialCamera = useMemo(\n () => cameraFromParams(initialParams), [initialParams]);\n\n // --- état de recherche partagé (la « seule vérité ») ---\n const [qy, setQy] = useState<Query>(() => {\n const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",\n page: Number.isFinite(p) && p >= 1 ? Math.floor(p) : 1,\n };\n });\n const [searchOnMove, setSearchOnMove] = useState(\n initialParams.get(\"move\") !== \"0\");\n const [dirty, setDirty] = useState(false); // zone divergée (mode manuel)\n const [userLocked, setUserLocked] = useState(initialCamera !== null);\n const [drawing, setDrawing] = useState(false);\n\n // URL avec caméra partagée : attendre la carte pour connaître la zone\n // visible AVANT la première requête (la liste doit refléter cette zone).\n const [bootstrapped, setBootstrapped] = useState(initialCamera === null);\n const bootstrappedRef = useRef(bootstrapped);\n\n const [res, setRes] = useState<SearchResponse | null>(null);\n const [points, setPoints] = useState<SearchPoint[]>([]);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState<string | null>(null);\n\n const [engine, setEngine] = useState<KaMap | null>(null);\n const [selectedUid, setSelectedUid] = useState<string | null>(null);\n const [mapHoverUid, setMapHoverUid] = useState<string | null>(null);\n const [hoverOffscreen, setHoverOffscreen] = useState<\"haut\" | \"bas\" | null>(null);\n const [clusterTip, setClusterTip] = useState<\n { count: number; min: number | null; max: number | null; x: number; y: number } | null\n >(null);\n const [isMobile, setIsMobile] = useState(\n () => window.matchMedia(\"(max-width: 780px)\").matches);\n\n // --- refs de pilotage (valeurs à jour dans les callbacks carte) ---\n const engineRef = useRef<KaMap | null>(null);\n const qyRef = useRef(qy); qyRef.current = qy;\n const searchOnMoveRef = useRef(searchOnMove); searchOnMoveRef.current = searchOnMove;\n const userLockedRef = useRef(userLocked); userLockedRef.current = userLocked;\n const seqRef = useRef(0);\n const ctrlRef = useRef<AbortController | null>(null);\n const debounceMsRef = useRef(0);\n const pointsKeyRef = useRef<string>(\"\");\n const fitAfterRef = useRef(initialCamera === null); // recadrer au 1er résultat\n const pendingScrollUidRef = useRef<string | null>(null);\n const carouselDrivenRef = useRef(false);\n const listRef = useRef<HTMLDivElement | null>(null);\n const carouselRef = useRef<HTMLDivElement | null>(null);\n\n const filtersClean = useMemo(() => {\n const f: Record<string, string> = {};\n for (const [k, v] of Object.entries(filters)) {\n if (v && k !== \"sort\") f[k] = String(v);\n }\n return f;\n }, [filters]);\n const filtersKey = useMemo(() => JSON.stringify(filtersClean), [filtersClean]);\n\n useEffect(() => {\n const mq = window.matchMedia(\"(max-width: 780px)\");\n const update = () => setIsMobile(mq.matches);\n mq.addEventListener(\"change\", update);\n return () => mq.removeEventListener(\"change\", update);\n }, []);\n\n // --- filtres modifiés : page 1, recadrage si l'utilisateur n'a pas la main\n const firstFiltersRun = useRef(true);\n useEffect(() => {\n if (firstFiltersRun.current) { firstFiltersRun.current = false; return; }\n if (!userLockedRef.current) {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n } else {\n setQy((q) => ({ ...q, page: 1 }));\n }\n }, [filtersKey]);\n\n // --- LA requête unifiée : une réponse = page de liste + points carte ---\n const qyKey = useMemo(() => JSON.stringify(qy), [qy]);\n useEffect(() => {\n if (!bootstrapped) return;\n const { bboxStr, poly, sort, page } = qyRef.current;\n const pKey = `${filtersKey}|${poly ?? bboxStr ?? \"\"}|${sort}`;\n const wait = debounceMsRef.current;\n debounceMsRef.current = 0;\n\n const timer = window.setTimeout(() => {\n ctrlRef.current?.abort();\n const ctrl = new AbortController();\n ctrlRef.current = ctrl;\n const mySeq = ++seqRef.current;\n setLoading(true);\n setError(null);\n fetchSearch(\n {\n ...filtersClean,\n bbox: poly ? undefined : bboxStr ?? undefined,\n poly: poly ?? undefined,\n sort, page, page_size: PAGE_SIZE,\n include: pKey === pointsKeyRef.current ? \"liste\" : \"tout\",\n },\n ctrl.signal,\n )\n .then((r) => {\n if (mySeq !== seqRef.current) return; // réponse périmée : ignorée\n setLoading(false);\n setRes(r);\n if (r.points) {\n setPoints(r.points);\n pointsKeyRef.current = pKey;\n }\n if (r.page !== qyRef.current.page) {\n // page ramenée dans les bornes par le serveur (filtre resserré)\n setQy((q) => ({ ...q, page: r.page }));\n }\n // recadrage sur les résultats — si la carte n'est pas encore\n // prête (premier chargement), l'effet données→carte le fera\n if (fitAfterRef.current && engineRef.current && r.points?.length) {\n fitAfterRef.current = false;\n engineRef.current.fitToProperties(pointsToProperties(r.points), {\n padding: 72, maxZoom: 16,\n });\n }\n })\n .catch((e) => {\n if (ctrl.signal.aborted || mySeq !== seqRef.current) return;\n setLoading(false);\n setError(String(e));\n });\n }, wait);\n return () => window.clearTimeout(timer);\n }, [filtersKey, qyKey, filtersClean, bootstrapped]);\n\n // compteur partagé remonté à la page\n useEffect(() => {\n onTotal?.(res?.total ?? null);\n return () => onTotal?.(null);\n }, [res?.total, onTotal]);\n\n // --- URL : tri + page + zone + mode (la caméra est gérée au moveend) ---\n useEffect(() => {\n const url = new URL(window.location.href);\n const set = (k: string, v: string | null) =>\n v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);\n set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\n set(\"page\", qy.page > 1 ? String(qy.page) : null);\n set(\"zone\", qy.poly);\n set(\"move\", searchOnMove ? null : \"0\");\n window.history.replaceState(null, \"\", url);\n }, [qy.sort, qy.page, qy.poly, searchOnMove]);\n\n // --- moteur prêt : polygone restauré, annonces « vues » ---\n const handleEngine = useCallback((m: KaMap | null) => {\n engineRef.current = m;\n setEngine(m);\n if (!m) return;\n m.setSeenIds(seenUids());\n const zone = polyFromString(qyRef.current.poly);\n if (zone) m.setDrawnPolygon(zone);\n // Caméra restaurée depuis l'URL : la zone visible devient la contrainte\n // spatiale de la première requête (lien partagé = même recherche).\n if (!bootstrappedRef.current) {\n bootstrappedRef.current = true;\n const b = m.currentBBox();\n if (b && !zone) setQy((q) => ({ ...q, bboxStr: bboxToString(b) }));\n setBootstrapped(true);\n }\n }, []);\n\n // --- données → carte (poussées, pas d'adaptateur : une seule requête) ---\n const mapProperties = useMemo(() => pointsToProperties(points), [points]);\n useEffect(() => {\n if (!engine) return;\n engine.setProperties(mapProperties);\n engine.setSeenIds(seenUids());\n // premier chargement : la réponse est souvent arrivée avant la carte —\n // le recadrage en attente s'applique dès que les deux sont prêts\n if (fitAfterRef.current && mapProperties.length > 0) {\n fitAfterRef.current = false;\n engine.fitToProperties(mapProperties, { padding: 72, maxZoom: 16 });\n }\n }, [engine, mapProperties]);\n\n // index uid → position dans le tri (= page de liste, sans requête)\n const uidIndex = useMemo(() => {\n const m = new Map<string, number>();\n points.forEach((p, i) => m.set(p[0], i));\n return m;\n }, [points]);\n\n // --- géolocalisation d'accueil / « Me localiser » : recentrer sur la\n // position et synchroniser la liste sur cette zone ---\n useEffect(() => {\n const handler = (e: Event) => {\n const { lat, lng } = (e as CustomEvent<{ lat: number; lng: number }>).detail;\n const m = engineRef.current;\n if (!m) return;\n setUserLocked(true);\n userLockedRef.current = true;\n m.flyTo({ lng, lat }, { zoom: 13.5, duration: 900 });\n window.setTimeout(() => {\n const b = engineRef.current?.currentBBox();\n if (b) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: null, bboxStr: bboxToString(b) }));\n }\n }, 950);\n };\n window.addEventListener(\"louka:geolocate\", handler);\n return () => window.removeEventListener(\"louka:geolocate\", handler);\n }, []);\n\n // --- geste sur la carte ---\n const onMoveEnd = useCallback(\n (center: { lat: number; lng: number }, zoom: number, byUser: boolean) => {\n const url = new URL(window.location.href);\n url.search = cameraToParams({ ...center, zoom }, url.searchParams).toString();\n window.history.replaceState(null, \"\", url);\n if (!byUser) return; // fitBounds/recentrages : rien\n setUserLocked(true);\n userLockedRef.current = true;\n if (qyRef.current.poly) return; // la zone dessinée prime\n const engineNow = engineRef.current;\n const b = engineNow?.currentBBox();\n if (!b) return;\n const bboxStr = bboxToString(b);\n if (searchOnMoveRef.current) {\n debounceMsRef.current = 280; // fin de geste + petite marge\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr }));\n } else {\n setDirty(true);\n }\n }, []);\n\n const searchThisArea = useCallback(() => {\n const b = engineRef.current?.currentBBox();\n if (!b) return;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(b) }));\n }, []);\n\n const refitToResults = useCallback(() => {\n setUserLocked(false);\n userLockedRef.current = false;\n setDirty(false);\n if (qyRef.current.bboxStr === null) {\n // requête déjà « tous les résultats » : recadrage immédiat\n engineRef.current?.fitToProperties(undefined, { padding: 72, maxZoom: 16 });\n } else {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n }\n }, []);\n\n const widenArea = useCallback(() => {\n const m = engineRef.current;\n if (!m) return;\n // « Élargir la zone » : dézoome — le moveend (byUser côté moteur ? non,\n // easeTo interne) ; on déclenche la recherche élargie explicitement.\n const b = m.currentBBox();\n m.flyTo({ lng: m.map.getCenter().lng, lat: m.map.getCenter().lat }, {\n zoom: Math.max(4, m.map.getZoom() - 1.6), duration: 650,\n });\n if (b) {\n window.setTimeout(() => {\n const nb = engineRef.current?.currentBBox();\n if (nb) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(nb) }));\n }\n }, 700);\n }\n }, []);\n\n // --- polygone dessiné ---\n const onDraw = useCallback((polygon: [number, number][] | null, isDrawing: boolean) => {\n setDrawing(isDrawing);\n if (isDrawing) return;\n const polyStr = polygon ? polyToString(polygon) : null;\n if (polyStr === qyRef.current.poly) return;\n if (polyStr) {\n fitAfterRef.current = true;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: polyStr, bboxStr: null }));\n } else {\n const b = engineRef.current?.currentBBox();\n setQy((q) => ({\n ...q, page: 1, poly: null,\n bboxStr: userLockedRef.current && b ? bboxToString(b) : null,\n }));\n }\n }, []);\n\n const clearZone = useCallback(() => {\n engineRef.current?.clearDrawnPolygon(); // onDraw fera le reste\n }, []);\n\n // --- sélection : marqueur ↔ annonce, toujours, quelle que soit la page ---\n const scrollToCard = useCallback((uid: string, pulse: boolean) => {\n const sel = `[data-uid=\"${CSS.escape(uid)}\"]`;\n const card = listRef.current?.querySelector<HTMLElement>(sel);\n if (card) {\n card.scrollIntoView({ behavior: \"smooth\", block: \"nearest\" });\n if (pulse) {\n card.classList.remove(\"map-card-pulse\");\n void card.offsetWidth; // relance l'animation\n card.classList.add(\"map-card-pulse\");\n }\n }\n const carItem = carouselRef.current?.querySelector<HTMLElement>(sel);\n if (carItem && carouselRef.current) {\n carouselRef.current.scrollTo({\n left: carItem.offsetLeft - 12, behavior: \"smooth\",\n });\n }\n }, []);\n\n const onSelect = useCallback((p: MapProperty | null, origin: \"map\" | \"app\") => {\n const uid = p?.id ?? null;\n setSelectedUid(uid);\n if (!uid) return;\n if (carouselDrivenRef.current) { // déjà au bon endroit\n carouselDrivenRef.current = false;\n return;\n }\n const idx = uidIndex.get(uid);\n if (idx === undefined) return;\n const targetPage = Math.floor(idx / PAGE_SIZE) + 1;\n if (targetPage !== qyRef.current.page) {\n pendingScrollUidRef.current = uid;\n setQy((q) => ({ ...q, page: targetPage }));\n } else {\n scrollToCard(uid, origin === \"map\");\n }\n }, [uidIndex, scrollToCard]);\n\n // défilement différé (la page vient de changer pour révéler l'annonce)\n useEffect(() => {\n const uid = pendingScrollUidRef.current;\n if (!uid || !res) return;\n if (res.listings.some((l) => l.uid === uid)) {\n pendingScrollUidRef.current = null;\n requestAnimationFrame(() => scrollToCard(uid, true));\n }\n }, [res, scrollToCard]);\n\n // --- survol carte → liste : surlignage + indicateur hors écran ---\n const onHover = useCallback((p: MapProperty | null) => {\n setMapHoverUid(p?.id ?? null);\n }, []);\n useEffect(() => {\n if (!mapHoverUid || !listRef.current) { setHoverOffscreen(null); return; }\n const card = listRef.current.querySelector<HTMLElement>(\n `[data-uid=\"${CSS.escape(mapHoverUid)}\"]`);\n if (!card) { setHoverOffscreen(null); return; }\n const list = listRef.current.getBoundingClientRect();\n const rect = card.getBoundingClientRect();\n if (rect.bottom < list.top + 8) setHoverOffscreen(\"haut\");\n else if (rect.top > list.bottom - 8) setHoverOffscreen(\"bas\");\n else setHoverOffscreen(null);\n }, [mapHoverUid]);\n\n // --- carrousel mobile : balayage → sélection sur la carte ---\n const carouselScrollTimer = useRef<number | null>(null);\n const onCarouselScroll = useCallback(() => {\n if (carouselScrollTimer.current) window.clearTimeout(carouselScrollTimer.current);\n carouselScrollTimer.current = window.setTimeout(() => {\n const el = carouselRef.current;\n if (!el || !res) return;\n const children = Array.from(el.children) as HTMLElement[];\n const center = el.scrollLeft + el.clientWidth / 2;\n let best = 0, bestD = Infinity;\n children.forEach((c, i) => {\n const d = Math.abs(c.offsetLeft + c.offsetWidth / 2 - center);\n if (d < bestD) { bestD = d; best = i; }\n });\n const uid = res.listings[best]?.uid;\n if (uid && uid !== selectedUid) {\n carouselDrivenRef.current = true;\n engineRef.current?.select(uid, \"app\");\n setSelectedUid(uid);\n }\n }, 140);\n }, [res, selectedUid]);\n\n // --- clic sur une carte d'annonce : recentre + mini-fiche (1er clic),\n // navigation vers la fiche (2e clic ou Cmd/Ctrl-clic) ---\n const onCardClick = useCallback((e: React.MouseEvent, uid: string) => {\n if (e.metaKey || e.ctrlKey || e.button !== 0) return; // nouvel onglet\n if (selectedUid === uid) return; // 2e clic : fiche\n e.preventDefault();\n engineRef.current?.select(uid, \"app\");\n }, [selectedUid]);\n\n // Amener l'écran sur la recherche à l'ouverture de la vue carte (arrivée\n // directe /?view=carte, géolocalisation, ou clic sur l'onglet Carte) —\n // sinon le héro cache la carte et la synchro se joue sous le pli.\n const rootRef = useRef<HTMLDivElement | null>(null);\n useEffect(() => {\n const t = window.setTimeout(() => {\n rootRef.current?.scrollIntoView({ block: \"start\", behavior: \"smooth\" });\n }, 120);\n return () => window.clearTimeout(t);\n }, []);\n\n const listings = res?.listings ?? [];\n const total = res?.total ?? null;\n const unpositioned = res?.unpositioned ?? 0;\n const hasZone = qy.poly !== null;\n\n return (\n <div className=\"map-split ms\" ref={rootRef}>\n {/* ---------------- volet liste (desktop / tablette) ---------------- */}\n <div className=\"map-list ms-list\" aria-label=\"Résultats en liste\" ref={listRef}>\n <div className=\"ms-list-head\">\n <div className=\"ms-count\" role=\"status\" aria-live=\"polite\">\n {total === null ? \"…\" : (\n <>\n <b>{total.toLocaleString(\"fr-CA\")}</b>\n {\" \"}logement{total > 1 ? \"s\" : \"\"}\n {hasZone ? \" dans la zone dessinée\" : \"\"}\n </>\n )}\n {unpositioned > 0 && (\n <span\n className=\"ms-nopos\"\n title=\"Annonces correspondant aux filtres mais sans position géocodée — visibles en vue Liste seulement\"\n >\n +{unpositioned} sans position\n </span>\n )}\n </div>\n <label className=\"ms-sort\">\n <span>Tri</span>\n <select\n value={qy.sort}\n onChange={(e) => setQy((q) => ({\n ...q, page: 1, sort: e.target.value as SearchSort,\n }))}\n >\n {SORT_CHOICES.map((s) => (\n <option key={s.key} value={s.key}>{s.label}</option>\n ))}\n </select>\n </label>\n </div>\n\n {hasZone && (\n <div className=\"pills ms-pills\">\n <button className=\"pill\" onClick={clearZone} aria-label=\"Retirer la zone dessinée\">\n Zone dessinée <span className=\"pill-x\">✕</span>\n </button>\n </div>\n )}\n {userLocked && total !== null && total > 0 && !hasZone && (\n <button className=\"ms-refit\" onClick={refitToResults}>\n ⌖ Recadrer sur les résultats\n </button>\n )}\n\n {loading && <div className=\"ms-progress\" aria-hidden=\"true\" />}\n\n {error && (\n <div className=\"ms-empty\">\n <h3>Impossible de charger les résultats</h3>\n <p>{error}</p>\n </div>\n )}\n\n {!error && total === 0 && (\n <div className=\"ms-empty\" role=\"status\">\n <div className=\"big\"><IcoSearch size={34} /></div>\n <h3>Aucun logement dans cette zone</h3>\n <p>Élargissez la carte ou modifiez vos filtres.</p>\n <div className=\"ms-empty-actions\">\n <button className=\"btn btn-primary\" onClick={widenArea}>\n Élargir la zone\n </button>\n {hasZone && (\n <button className=\"btn btn-ghost\" onClick={clearZone}>\n Effacer la zone dessinée\n </button>\n )}\n </div>\n </div>\n )}\n\n {!error && listings.map((l) => (\n <div\n key={l.uid}\n data-uid={l.uid}\n className={\n \"map-card\" +\n (selectedUid === l.uid ? \" map-card-sel\" : \"\") +\n (mapHoverUid === l.uid ? \" map-card-hover\" : \"\")\n }\n onMouseEnter={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onMouseLeave={() => engineRef.current?.setHovered(null, \"app\")}\n onFocus={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onBlur={() => engineRef.current?.setHovered(null, \"app\")}\n onClickCapture={(e) => onCardClick(e, l.uid)}\n >\n <ListingCard l={l} />\n </div>\n ))}\n\n {!error && total !== null && total > 0 && (\n <Pager\n page={qy.page} pageSize={PAGE_SIZE} total={total}\n onPage={(p) => {\n setQy((q) => ({ ...q, page: p }));\n listRef.current?.scrollTo({ top: 0, behavior: \"smooth\" });\n }}\n />\n )}\n\n {hoverOffscreen && (\n <div className={`ms-hover-hint ${hoverOffscreen}`} aria-hidden=\"true\">\n {hoverOffscreen === \"haut\" ? \"▲ Annonce plus haut\" : \"▼ Annonce plus bas\"}\n </div>\n )}\n </div>\n\n {/* ------------------------------ carte ------------------------------ */}\n <div className=\"mapview\" role=\"application\" aria-label=\"Carte des logements\">\n <KaMapView\n theme={louKaMapTheme}\n mapboxToken={MAPBOX_TOKEN}\n center={initialCamera ?? QUEBEC}\n zoom={(initialCamera ?? QUEBEC).zoom}\n pitch={50}\n basemap={{ theme: \"default\", showLandmarks: true }}\n cluster={{ maxZoom: 15, valueClamp: [250, 8000] }}\n onMoveEnd={onMoveEnd}\n onSelect={onSelect}\n onHover={onHover}\n onDraw={onDraw}\n onClusterHover={setClusterTip}\n >\n <EngineBridge onEngine={handleEngine} />\n <SelectionMirror selectedUid={selectedUid} />\n <KaBrandBadge />\n <Tilt3DControl />\n <DrawControl />\n <LocateControl />\n\n {/* « Rechercher quand je déplace la carte » + zone divergée */}\n <div className=\"ka-search-area\" role=\"group\" aria-label=\"Recherche géographique\">\n {dirty && !searchOnMove && !hasZone && (\n <button type=\"button\" className=\"ka-search-area-btn\"\n onClick={searchThisArea} disabled={loading}>\n {loading ? \"Recherche…\" : \"Rechercher dans cette zone\"}\n </button>\n )}\n {!hasZone && !drawing && (\n <label className=\"ka-search-area-auto\">\n <input\n type=\"checkbox\"\n checked={searchOnMove}\n onChange={() => {\n const next = !searchOnMove;\n setSearchOnMove(next);\n if (next && dirty) searchThisArea();\n }}\n />\n <span>Rechercher quand je déplace la carte</span>\n </label>\n )}\n </div>\n\n {loading && (\n <div className=\"ka-loading\" role=\"status\" aria-live=\"polite\">\n <span className=\"ka-loading-dot\" aria-hidden=\"true\" />\n Mise à jour des logements…\n </div>\n )}\n\n {total === 0 && !loading && (\n <div className=\"ka-empty\" role=\"status\">\n <strong>Aucun logement dans cette zone.</strong>\n <span>Élargissez la carte ou modifiez vos filtres.</span>\n </div>\n )}\n\n {clusterTip && (\n <div\n className=\"ka-cluster-tip\"\n style={{ left: clusterTip.x, top: clusterTip.y }}\n >\n {clusterTip.count.toLocaleString(\"fr-CA\")} logements\n {clusterTip.min != null && clusterTip.max != null && (\n <small>\n {clusterTip.min === clusterTip.max\n ? formatCompactPrice(clusterTip.min)\n : `${formatCompactPrice(clusterTip.min)} – ${formatCompactPrice(clusterTip.max)}`}\n {\" \"}/mois\n </small>\n )}\n </div>\n )}\n\n {!isMobile && <PropertyPreview render={(p) => <LazyPreview p={p} />} />}\n </KaMapView>\n\n {/* ---------- carrousel mobile synchronisé aux marqueurs ---------- */}\n {isMobile && listings.length > 0 && (\n <div\n className=\"ms-carousel\"\n ref={carouselRef}\n onScroll={onCarouselScroll}\n aria-label=\"Annonces de la zone visible\"\n >\n {listings.map((l) => (\n <Link\n key={l.uid}\n to={`/logement/${encodeURIComponent(l.uid)}`}\n data-uid={l.uid}\n className={`ms-car-item${selectedUid === l.uid ? \" sel\" : \"\"}`}\n >\n <SmartImg\n src={l.images?.[0] ?? null} width_={160}\n fallbackLabel={l.unit_type || undefined}\n alt=\"\" loading=\"lazy\" decoding=\"async\"\n />\n <div className=\"ms-car-body\">\n <div className=\"ms-car-price\">\n {fmtPrice(l.price, l.price_label)}\n <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />\n </div>\n <div className=\"ms-car-title\">{l.title || l.address}</div>\n <div className=\"ms-car-meta\">\n {[l.unit_type, l.sector || l.city].filter(Boolean).join(\" · \")}\n </div>\n </div>\n </Link>\n ))}\n {total !== null && total > qy.page * PAGE_SIZE && (\n <button\n className=\"ms-car-more\"\n onClick={(e) => {\n e.preventDefault();\n setQy((q) => ({ ...q, page: q.page + 1 }));\n carouselRef.current?.scrollTo({ left: 0 });\n }}\n >\n Page suivante →\n </button>\n )}\n </div>\n )}\n </div>\n </div>\n );\n}\n\n/** Pont déclaratif : reflète la sélection venue de l'app vers le moteur.\n * (Le survol liste→carte passe directement par setHovered — < 100 ms.) */\nfunction SelectionMirror({ selectedUid }: { selectedUid: string | null }) {\n const map = useKaMap();\n useEffect(() => { map?.select(selectedUid, \"app\"); }, [map, selectedUid]);\n return null;\n}\n","structuredPatch":[{"oldStart":197,"oldLines":12,"newStart":197,"newLines":12,"lines":[" "," // --- état de recherche partagé (la « seule vérité ») ---"," const [qy, setQy] = useState<Query>(() => {","- const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"prix\";","+ const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"recent\";"," const p = Number(initialParams.get(\"page\"));"," return {"," bboxStr: null, // posé au premier geste ou « zone » restaurée"," poly: initialParams.get(\"zone\"),","- sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"prix\",","+ sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"recent\","," page: Number.isFinite(p) && p >= 1 ? 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null : qy.sort);","newString":" set(\"tri\", qy.sort === \"recent\" ? null : qy.sort);","originalFile":"// -----------------------------------------------------------------------------\n// Lou-Ka — Agrégateur de logements à louer (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// search/MapSearch.tsx : recherche synchronisée liste ↔ carte (Ka Maps).\n//\n// UNE SEULE VÉRITÉ PARTAGÉE — filtres + zone de carte + tri + page vivent\n// dans un état unique ; chaque changement déclenche UNE requête /api/search\n// qui renvoie à la fois la page de liste et tous les points carte, triés\n// pareil : le compteur de la liste est par construction égal au nombre de\n// marqueurs, et l'index d'un point donne directement sa page de liste.\n//\n// · carte → liste : déplacement (fin de geste, avec debounce), case\n// « Rechercher quand je déplace la carte », bouton « Rechercher dans\n// cette zone », polygone dessiné (puce retirable), clic cluster ;\n// · liste → carte : filtres (recadrage animé sauf si l'utilisateur a pris\n// la main — bouton « Recadrer sur les résultats »), tri partagé ;\n// · miroirs : survol carte↔liste (< 100 ms, feature-state GPU), clic\n// marqueur → défilement de la liste (page ajustée au besoin) + pulsation,\n// clic annonce → recentrage doux + mini-fiche ;\n// · mobile : carrousel bas d'écran synchronisé avec les marqueurs ;\n// · URL : caméra + tri + page + zone dessinée + mode de recherche.\n//\n// Ce composant est le modèle réutilisable Groupe-KA (immo-ka, resto-ka,\n// sorti-ka) : voir ~/apps/ka-maps/docs/SEARCH-SYNC.md.\n// -----------------------------------------------------------------------------\nimport {\n useCallback, useEffect, useMemo, useRef, useState,\n} from \"react\";\nimport { Link, useNavigate } from \"react-router-dom\";\nimport \"mapbox-gl/dist/mapbox-gl.css\";\nimport \"@groupe-ka/ka-maps/styles.css\";\nimport type { MapProperty } from \"@groupe-ka/ka-maps\";\nimport {\n bboxToString, cameraFromParams, cameraToParams, formatCompactPrice,\n} from \"@groupe-ka/ka-maps\";\nimport type { KaMap } from \"@groupe-ka/ka-maps\";\nimport {\n DrawControl, KaBrandBadge, KaMapView, LocateControl, PropertyPreview,\n Tilt3DControl, useKaMap,\n} from \"@groupe-ka/ka-maps/react\";\nimport {\n Listing, ListingFilters, SearchPoint, SearchResponse, SearchSort,\n fetchListing, fetchSearch, fmtPrice, sourceName, thumb,\n} from \"../api\";\nimport ListingCard from \"../components/ListingCard\";\nimport Pager from \"../components/Pager\";\nimport SmartImg from \"../components/SmartImg\";\nimport FairValueBadge from \"../components/FairValueBadge\";\nimport { IcoSearch } from \"../components/Icons\";\nimport { louKaMapTheme } from \"../kamaps/theme\";\nimport { MAPBOX_TOKEN } from \"../kamaps/config\";\nimport { seenUids } from \"./seen\";\n\nconst PAGE_SIZE = 20; // annonces par page (vue carte)\nconst QUEBEC = { lat: 46.82, lng: -71.25, zoom: 11 };\n\nconst SORT_CHOICES: { key: SearchSort; label: string }[] = [\n { key: \"recent\", label: \"Plus récentes\" },\n { key: \"prix\", label: \"Prix croissant\" },\n { key: \"prix_desc\", label: \"Prix décroissant\" },\n { key: \"deal\", label: \"Meilleures affaires\" },\n { key: \"ka\", label: \"Meilleur KA Score\" },\n];\n\n/** Points compacts → modèle canonique Ka Maps, avec écartement léger des\n * coordonnées EXACTEMENT identiques (unités d'un même immeuble) pour que\n * chaque pastille reste cliquable au zoom maximal (spiderfy discret). */\nfunction pointsToProperties(points: SearchPoint[]): MapProperty[] {\n const byCoord = new Map<string, number>();\n const out: MapProperty[] = [];\n for (const [uid, lng, lat, price, fv] of points) {\n const key = `${lng},${lat}`;\n const n = byCoord.get(key) ?? 0;\n byCoord.set(key, n + 1);\n let lng2 = lng, lat2 = lat;\n if (n > 0) {\n // cercle de ~9 m autour du point d'origine, déterministe\n const angle = n * 2.4; // angle d'or : pas d'alignement\n lng2 = lng + Math.cos(angle) * 0.00011;\n lat2 = lat + Math.sin(angle) * 0.00008;\n }\n out.push({\n id: uid,\n appSource: \"lou-ka\",\n longitude: lng2,\n latitude: lat2,\n kind: \"listing\",\n listingType: \"rent\",\n price: price ?? undefined,\n highlight: fv === \"s\", // sous le marché\n originalUrl: `/logement/${encodeURIComponent(uid)}`,\n });\n }\n return out;\n}\n\n/** Sérialisation du polygone pour l'URL et l'API : lng,lat;lng,lat;… */\nconst polyToString = (poly: [number, number][]): string =>\n poly.map(([lng, lat]) => `${lng.toFixed(6)},${lat.toFixed(6)}`).join(\";\");\n\nfunction polyFromString(text: string | null): [number, number][] | null {\n if (!text) return null;\n const pts: [number, number][] = [];\n for (const part of text.split(\";\")) {\n const [lng, lat] = part.split(\",\").map(Number);\n if (!Number.isFinite(lng) || !Number.isFinite(lat)) return null;\n pts.push([lng as number, lat as number]);\n }\n return pts.length >= 3 ? pts : null;\n}\n\n/** Pont : expose le moteur KaMap au composant parent (hors du canevas). */\nfunction EngineBridge({ onEngine }: { onEngine: (m: KaMap | null) => void }) {\n const map = useKaMap();\n useEffect(() => {\n onEngine(map);\n return () => onEngine(null);\n }, [map, onEngine]);\n return null;\n}\n\n/** Mini-fiche de marqueur : les points carte sont volontairement compacts,\n * le détail (photo, titre, dispo) est chargé à la sélection (rapide, mis\n * en cache) — même langage visuel que les cartes de la liste. */\nconst previewCache = new Map<string, Listing>();\n\nfunction LazyPreview({ p }: { p: MapProperty }) {\n const navigate = useNavigate();\n const [l, setL] = useState<Listing | null>(previewCache.get(p.id) ?? null);\n useEffect(() => {\n if (previewCache.has(p.id)) { setL(previewCache.get(p.id)!); return; }\n let dead = false;\n setL(null);\n fetchListing(p.id)\n .then((r) => {\n previewCache.set(p.id, r);\n if (previewCache.size > 80) {\n const first = previewCache.keys().next().value;\n if (first) previewCache.delete(first);\n }\n if (!dead) setL(r);\n })\n .catch(() => {});\n return () => { dead = true; };\n }, [p.id]);\n\n const img = l?.images?.[0] ?? null;\n return (\n <div className=\"mv-pop\">\n {img ? (\n <img src={thumb(img, 480)} alt=\"\" loading=\"lazy\" />\n ) : (\n <div className=\"mv-noimg\" aria-hidden=\"true\">⌂</div>\n )}\n <div className=\"mv-pop-body\">\n <div className=\"mv-pop-price\">\n {l ? fmtPrice(l.price, l.price_label) : p.price != null ? `${p.price.toLocaleString(\"fr-CA\")} $` : \"…\"}\n {(l?.price ?? p.price) != null && <small> /mois</small>}\n {l && <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />}\n </div>\n <div className=\"mv-pop-title\">{l ? (l.title || l.address) : \"Chargement…\"}</div>\n <div className=\"mv-pop-meta\">\n {[l?.unit_type, l?.area_sqft ? `${Math.round(l.area_sqft)} pi²` : \"\", l?.availability]\n .filter(Boolean).join(\" · \")}\n </div>\n <div className=\"mv-pop-src\">{l ? sourceName(l.source) : \"\"}</div>\n <a\n className=\"mv-pop-cta\"\n href={`/logement/${encodeURIComponent(p.id)}`}\n onClick={(e) => { e.preventDefault(); navigate(`/logement/${encodeURIComponent(p.id)}`); }}\n >\n Voir la fiche →\n </a>\n </div>\n </div>\n );\n}\n\nexport interface MapSearchProps {\n filters: ListingFilters;\n /** Compteur partagé remonté à l'entête de résultats de la page. */\n onTotal?: (total: number | null) => void;\n}\n\ninterface Query {\n bboxStr: string | null; // zone visible (gestes utilisateur uniquement)\n poly: string | null; // zone dessinée (prime sur la zone visible)\n sort: SearchSort;\n page: number;\n}\n\nexport default function MapSearch({ filters, onTotal }: MapSearchProps) {\n const initialParams = useMemo(\n () => new URLSearchParams(window.location.search), []);\n const initialCamera = useMemo(\n () => cameraFromParams(initialParams), [initialParams]);\n\n // --- état de recherche partagé (la « seule vérité ») ---\n const [qy, setQy] = useState<Query>(() => {\n const sort = (initialParams.get(\"tri\") as SearchSort | null) ?? \"recent\";\n const p = Number(initialParams.get(\"page\"));\n return {\n bboxStr: null, // posé au premier geste ou « zone » restaurée\n poly: initialParams.get(\"zone\"),\n sort: SORT_CHOICES.some((s) => s.key === sort) ? sort : \"recent\",\n page: Number.isFinite(p) && p >= 1 ? Math.floor(p) : 1,\n };\n });\n const [searchOnMove, setSearchOnMove] = useState(\n initialParams.get(\"move\") !== \"0\");\n const [dirty, setDirty] = useState(false); // zone divergée (mode manuel)\n const [userLocked, setUserLocked] = useState(initialCamera !== null);\n const [drawing, setDrawing] = useState(false);\n\n // URL avec caméra partagée : attendre la carte pour connaître la zone\n // visible AVANT la première requête (la liste doit refléter cette zone).\n const [bootstrapped, setBootstrapped] = useState(initialCamera === null);\n const bootstrappedRef = useRef(bootstrapped);\n\n const [res, setRes] = useState<SearchResponse | null>(null);\n const [points, setPoints] = useState<SearchPoint[]>([]);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState<string | null>(null);\n\n const [engine, setEngine] = useState<KaMap | null>(null);\n const [selectedUid, setSelectedUid] = useState<string | null>(null);\n const [mapHoverUid, setMapHoverUid] = useState<string | null>(null);\n const [hoverOffscreen, setHoverOffscreen] = useState<\"haut\" | \"bas\" | null>(null);\n const [clusterTip, setClusterTip] = useState<\n { count: number; min: number | null; max: number | null; x: number; y: number } | null\n >(null);\n const [isMobile, setIsMobile] = useState(\n () => window.matchMedia(\"(max-width: 780px)\").matches);\n\n // --- refs de pilotage (valeurs à jour dans les callbacks carte) ---\n const engineRef = useRef<KaMap | null>(null);\n const qyRef = useRef(qy); qyRef.current = qy;\n const searchOnMoveRef = useRef(searchOnMove); searchOnMoveRef.current = searchOnMove;\n const userLockedRef = useRef(userLocked); userLockedRef.current = userLocked;\n const seqRef = useRef(0);\n const ctrlRef = useRef<AbortController | null>(null);\n const debounceMsRef = useRef(0);\n const pointsKeyRef = useRef<string>(\"\");\n const fitAfterRef = useRef(initialCamera === null); // recadrer au 1er résultat\n const pendingScrollUidRef = useRef<string | null>(null);\n const carouselDrivenRef = useRef(false);\n const listRef = useRef<HTMLDivElement | null>(null);\n const carouselRef = useRef<HTMLDivElement | null>(null);\n\n const filtersClean = useMemo(() => {\n const f: Record<string, string> = {};\n for (const [k, v] of Object.entries(filters)) {\n if (v && k !== \"sort\") f[k] = String(v);\n }\n return f;\n }, [filters]);\n const filtersKey = useMemo(() => JSON.stringify(filtersClean), [filtersClean]);\n\n useEffect(() => {\n const mq = window.matchMedia(\"(max-width: 780px)\");\n const update = () => setIsMobile(mq.matches);\n mq.addEventListener(\"change\", update);\n return () => mq.removeEventListener(\"change\", update);\n }, []);\n\n // --- filtres modifiés : page 1, recadrage si l'utilisateur n'a pas la main\n const firstFiltersRun = useRef(true);\n useEffect(() => {\n if (firstFiltersRun.current) { firstFiltersRun.current = false; return; }\n if (!userLockedRef.current) {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n } else {\n setQy((q) => ({ ...q, page: 1 }));\n }\n }, [filtersKey]);\n\n // --- LA requête unifiée : une réponse = page de liste + points carte ---\n const qyKey = useMemo(() => JSON.stringify(qy), [qy]);\n useEffect(() => {\n if (!bootstrapped) return;\n const { bboxStr, poly, sort, page } = qyRef.current;\n const pKey = `${filtersKey}|${poly ?? bboxStr ?? \"\"}|${sort}`;\n const wait = debounceMsRef.current;\n debounceMsRef.current = 0;\n\n const timer = window.setTimeout(() => {\n ctrlRef.current?.abort();\n const ctrl = new AbortController();\n ctrlRef.current = ctrl;\n const mySeq = ++seqRef.current;\n setLoading(true);\n setError(null);\n fetchSearch(\n {\n ...filtersClean,\n bbox: poly ? undefined : bboxStr ?? undefined,\n poly: poly ?? undefined,\n sort, page, page_size: PAGE_SIZE,\n include: pKey === pointsKeyRef.current ? \"liste\" : \"tout\",\n },\n ctrl.signal,\n )\n .then((r) => {\n if (mySeq !== seqRef.current) return; // réponse périmée : ignorée\n setLoading(false);\n setRes(r);\n if (r.points) {\n setPoints(r.points);\n pointsKeyRef.current = pKey;\n }\n if (r.page !== qyRef.current.page) {\n // page ramenée dans les bornes par le serveur (filtre resserré)\n setQy((q) => ({ ...q, page: r.page }));\n }\n // recadrage sur les résultats — si la carte n'est pas encore\n // prête (premier chargement), l'effet données→carte le fera\n if (fitAfterRef.current && engineRef.current && r.points?.length) {\n fitAfterRef.current = false;\n engineRef.current.fitToProperties(pointsToProperties(r.points), {\n padding: 72, maxZoom: 16,\n });\n }\n })\n .catch((e) => {\n if (ctrl.signal.aborted || mySeq !== seqRef.current) return;\n setLoading(false);\n setError(String(e));\n });\n }, wait);\n return () => window.clearTimeout(timer);\n }, [filtersKey, qyKey, filtersClean, bootstrapped]);\n\n // compteur partagé remonté à la page\n useEffect(() => {\n onTotal?.(res?.total ?? null);\n return () => onTotal?.(null);\n }, [res?.total, onTotal]);\n\n // --- URL : tri + page + zone + mode (la caméra est gérée au moveend) ---\n useEffect(() => {\n const url = new URL(window.location.href);\n const set = (k: string, v: string | null) =>\n v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);\n set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);\n set(\"page\", qy.page > 1 ? String(qy.page) : null);\n set(\"zone\", qy.poly);\n set(\"move\", searchOnMove ? null : \"0\");\n window.history.replaceState(null, \"\", url);\n }, [qy.sort, qy.page, qy.poly, searchOnMove]);\n\n // --- moteur prêt : polygone restauré, annonces « vues » ---\n const handleEngine = useCallback((m: KaMap | null) => {\n engineRef.current = m;\n setEngine(m);\n if (!m) return;\n m.setSeenIds(seenUids());\n const zone = polyFromString(qyRef.current.poly);\n if (zone) m.setDrawnPolygon(zone);\n // Caméra restaurée depuis l'URL : la zone visible devient la contrainte\n // spatiale de la première requête (lien partagé = même recherche).\n if (!bootstrappedRef.current) {\n bootstrappedRef.current = true;\n const b = m.currentBBox();\n if (b && !zone) setQy((q) => ({ ...q, bboxStr: bboxToString(b) }));\n setBootstrapped(true);\n }\n }, []);\n\n // --- données → carte (poussées, pas d'adaptateur : une seule requête) ---\n const mapProperties = useMemo(() => pointsToProperties(points), [points]);\n useEffect(() => {\n if (!engine) return;\n engine.setProperties(mapProperties);\n engine.setSeenIds(seenUids());\n // premier chargement : la réponse est souvent arrivée avant la carte —\n // le recadrage en attente s'applique dès que les deux sont prêts\n if (fitAfterRef.current && mapProperties.length > 0) {\n fitAfterRef.current = false;\n engine.fitToProperties(mapProperties, { padding: 72, maxZoom: 16 });\n }\n }, [engine, mapProperties]);\n\n // index uid → position dans le tri (= page de liste, sans requête)\n const uidIndex = useMemo(() => {\n const m = new Map<string, number>();\n points.forEach((p, i) => m.set(p[0], i));\n return m;\n }, [points]);\n\n // --- géolocalisation d'accueil / « Me localiser » : recentrer sur la\n // position et synchroniser la liste sur cette zone ---\n useEffect(() => {\n const handler = (e: Event) => {\n const { lat, lng } = (e as CustomEvent<{ lat: number; lng: number }>).detail;\n const m = engineRef.current;\n if (!m) return;\n setUserLocked(true);\n userLockedRef.current = true;\n m.flyTo({ lng, lat }, { zoom: 13.5, duration: 900 });\n window.setTimeout(() => {\n const b = engineRef.current?.currentBBox();\n if (b) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: null, bboxStr: bboxToString(b) }));\n }\n }, 950);\n };\n window.addEventListener(\"louka:geolocate\", handler);\n return () => window.removeEventListener(\"louka:geolocate\", handler);\n }, []);\n\n // --- geste sur la carte ---\n const onMoveEnd = useCallback(\n (center: { lat: number; lng: number }, zoom: number, byUser: boolean) => {\n const url = new URL(window.location.href);\n url.search = cameraToParams({ ...center, zoom }, url.searchParams).toString();\n window.history.replaceState(null, \"\", url);\n if (!byUser) return; // fitBounds/recentrages : rien\n setUserLocked(true);\n userLockedRef.current = true;\n if (qyRef.current.poly) return; // la zone dessinée prime\n const engineNow = engineRef.current;\n const b = engineNow?.currentBBox();\n if (!b) return;\n const bboxStr = bboxToString(b);\n if (searchOnMoveRef.current) {\n debounceMsRef.current = 280; // fin de geste + petite marge\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr }));\n } else {\n setDirty(true);\n }\n }, []);\n\n const searchThisArea = useCallback(() => {\n const b = engineRef.current?.currentBBox();\n if (!b) return;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(b) }));\n }, []);\n\n const refitToResults = useCallback(() => {\n setUserLocked(false);\n userLockedRef.current = false;\n setDirty(false);\n if (qyRef.current.bboxStr === null) {\n // requête déjà « tous les résultats » : recadrage immédiat\n engineRef.current?.fitToProperties(undefined, { padding: 72, maxZoom: 16 });\n } else {\n fitAfterRef.current = true;\n setQy((q) => ({ ...q, page: 1, bboxStr: null }));\n }\n }, []);\n\n const widenArea = useCallback(() => {\n const m = engineRef.current;\n if (!m) return;\n // « Élargir la zone » : dézoome — le moveend (byUser côté moteur ? non,\n // easeTo interne) ; on déclenche la recherche élargie explicitement.\n const b = m.currentBBox();\n m.flyTo({ lng: m.map.getCenter().lng, lat: m.map.getCenter().lat }, {\n zoom: Math.max(4, m.map.getZoom() - 1.6), duration: 650,\n });\n if (b) {\n window.setTimeout(() => {\n const nb = engineRef.current?.currentBBox();\n if (nb) {\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, bboxStr: bboxToString(nb) }));\n }\n }, 700);\n }\n }, []);\n\n // --- polygone dessiné ---\n const onDraw = useCallback((polygon: [number, number][] | null, isDrawing: boolean) => {\n setDrawing(isDrawing);\n if (isDrawing) return;\n const polyStr = polygon ? polyToString(polygon) : null;\n if (polyStr === qyRef.current.poly) return;\n if (polyStr) {\n fitAfterRef.current = true;\n setDirty(false);\n setQy((q) => ({ ...q, page: 1, poly: polyStr, bboxStr: null }));\n } else {\n const b = engineRef.current?.currentBBox();\n setQy((q) => ({\n ...q, page: 1, poly: null,\n bboxStr: userLockedRef.current && b ? bboxToString(b) : null,\n }));\n }\n }, []);\n\n const clearZone = useCallback(() => {\n engineRef.current?.clearDrawnPolygon(); // onDraw fera le reste\n }, []);\n\n // --- sélection : marqueur ↔ annonce, toujours, quelle que soit la page ---\n const scrollToCard = useCallback((uid: string, pulse: boolean) => {\n const sel = `[data-uid=\"${CSS.escape(uid)}\"]`;\n const card = listRef.current?.querySelector<HTMLElement>(sel);\n if (card) {\n card.scrollIntoView({ behavior: \"smooth\", block: \"nearest\" });\n if (pulse) {\n card.classList.remove(\"map-card-pulse\");\n void card.offsetWidth; // relance l'animation\n card.classList.add(\"map-card-pulse\");\n }\n }\n const carItem = carouselRef.current?.querySelector<HTMLElement>(sel);\n if (carItem && carouselRef.current) {\n carouselRef.current.scrollTo({\n left: carItem.offsetLeft - 12, behavior: \"smooth\",\n });\n }\n }, []);\n\n const onSelect = useCallback((p: MapProperty | null, origin: \"map\" | \"app\") => {\n const uid = p?.id ?? null;\n setSelectedUid(uid);\n if (!uid) return;\n if (carouselDrivenRef.current) { // déjà au bon endroit\n carouselDrivenRef.current = false;\n return;\n }\n const idx = uidIndex.get(uid);\n if (idx === undefined) return;\n const targetPage = Math.floor(idx / PAGE_SIZE) + 1;\n if (targetPage !== qyRef.current.page) {\n pendingScrollUidRef.current = uid;\n setQy((q) => ({ ...q, page: targetPage }));\n } else {\n scrollToCard(uid, origin === \"map\");\n }\n }, [uidIndex, scrollToCard]);\n\n // défilement différé (la page vient de changer pour révéler l'annonce)\n useEffect(() => {\n const uid = pendingScrollUidRef.current;\n if (!uid || !res) return;\n if (res.listings.some((l) => l.uid === uid)) {\n pendingScrollUidRef.current = null;\n requestAnimationFrame(() => scrollToCard(uid, true));\n }\n }, [res, scrollToCard]);\n\n // --- survol carte → liste : surlignage + indicateur hors écran ---\n const onHover = useCallback((p: MapProperty | null) => {\n setMapHoverUid(p?.id ?? null);\n }, []);\n useEffect(() => {\n if (!mapHoverUid || !listRef.current) { setHoverOffscreen(null); return; }\n const card = listRef.current.querySelector<HTMLElement>(\n `[data-uid=\"${CSS.escape(mapHoverUid)}\"]`);\n if (!card) { setHoverOffscreen(null); return; }\n const list = listRef.current.getBoundingClientRect();\n const rect = card.getBoundingClientRect();\n if (rect.bottom < list.top + 8) setHoverOffscreen(\"haut\");\n else if (rect.top > list.bottom - 8) setHoverOffscreen(\"bas\");\n else setHoverOffscreen(null);\n }, [mapHoverUid]);\n\n // --- carrousel mobile : balayage → sélection sur la carte ---\n const carouselScrollTimer = useRef<number | null>(null);\n const onCarouselScroll = useCallback(() => {\n if (carouselScrollTimer.current) window.clearTimeout(carouselScrollTimer.current);\n carouselScrollTimer.current = window.setTimeout(() => {\n const el = carouselRef.current;\n if (!el || !res) return;\n const children = Array.from(el.children) as HTMLElement[];\n const center = el.scrollLeft + el.clientWidth / 2;\n let best = 0, bestD = Infinity;\n children.forEach((c, i) => {\n const d = Math.abs(c.offsetLeft + c.offsetWidth / 2 - center);\n if (d < bestD) { bestD = d; best = i; }\n });\n const uid = res.listings[best]?.uid;\n if (uid && uid !== selectedUid) {\n carouselDrivenRef.current = true;\n engineRef.current?.select(uid, \"app\");\n setSelectedUid(uid);\n }\n }, 140);\n }, [res, selectedUid]);\n\n // --- clic sur une carte d'annonce : recentre + mini-fiche (1er clic),\n // navigation vers la fiche (2e clic ou Cmd/Ctrl-clic) ---\n const onCardClick = useCallback((e: React.MouseEvent, uid: string) => {\n if (e.metaKey || e.ctrlKey || e.button !== 0) return; // nouvel onglet\n if (selectedUid === uid) return; // 2e clic : fiche\n e.preventDefault();\n engineRef.current?.select(uid, \"app\");\n }, [selectedUid]);\n\n // Amener l'écran sur la recherche à l'ouverture de la vue carte (arrivée\n // directe /?view=carte, géolocalisation, ou clic sur l'onglet Carte) —\n // sinon le héro cache la carte et la synchro se joue sous le pli.\n const rootRef = useRef<HTMLDivElement | null>(null);\n useEffect(() => {\n const t = window.setTimeout(() => {\n rootRef.current?.scrollIntoView({ block: \"start\", behavior: \"smooth\" });\n }, 120);\n return () => window.clearTimeout(t);\n }, []);\n\n const listings = res?.listings ?? [];\n const total = res?.total ?? null;\n const unpositioned = res?.unpositioned ?? 0;\n const hasZone = qy.poly !== null;\n\n return (\n <div className=\"map-split ms\" ref={rootRef}>\n {/* ---------------- volet liste (desktop / tablette) ---------------- */}\n <div className=\"map-list ms-list\" aria-label=\"Résultats en liste\" ref={listRef}>\n <div className=\"ms-list-head\">\n <div className=\"ms-count\" role=\"status\" aria-live=\"polite\">\n {total === null ? \"…\" : (\n <>\n <b>{total.toLocaleString(\"fr-CA\")}</b>\n {\" \"}logement{total > 1 ? \"s\" : \"\"}\n {hasZone ? \" dans la zone dessinée\" : \"\"}\n </>\n )}\n {unpositioned > 0 && (\n <span\n className=\"ms-nopos\"\n title=\"Annonces correspondant aux filtres mais sans position géocodée — visibles en vue Liste seulement\"\n >\n +{unpositioned} sans position\n </span>\n )}\n </div>\n <label className=\"ms-sort\">\n <span>Tri</span>\n <select\n value={qy.sort}\n onChange={(e) => setQy((q) => ({\n ...q, page: 1, sort: e.target.value as SearchSort,\n }))}\n >\n {SORT_CHOICES.map((s) => (\n <option key={s.key} value={s.key}>{s.label}</option>\n ))}\n </select>\n </label>\n </div>\n\n {hasZone && (\n <div className=\"pills ms-pills\">\n <button className=\"pill\" onClick={clearZone} aria-label=\"Retirer la zone dessinée\">\n Zone dessinée <span className=\"pill-x\">✕</span>\n </button>\n </div>\n )}\n {userLocked && total !== null && total > 0 && !hasZone && (\n <button className=\"ms-refit\" onClick={refitToResults}>\n ⌖ Recadrer sur les résultats\n </button>\n )}\n\n {loading && <div className=\"ms-progress\" aria-hidden=\"true\" />}\n\n {error && (\n <div className=\"ms-empty\">\n <h3>Impossible de charger les résultats</h3>\n <p>{error}</p>\n </div>\n )}\n\n {!error && total === 0 && (\n <div className=\"ms-empty\" role=\"status\">\n <div className=\"big\"><IcoSearch size={34} /></div>\n <h3>Aucun logement dans cette zone</h3>\n <p>Élargissez la carte ou modifiez vos filtres.</p>\n <div className=\"ms-empty-actions\">\n <button className=\"btn btn-primary\" onClick={widenArea}>\n Élargir la zone\n </button>\n {hasZone && (\n <button className=\"btn btn-ghost\" onClick={clearZone}>\n Effacer la zone dessinée\n </button>\n )}\n </div>\n </div>\n )}\n\n {!error && listings.map((l) => (\n <div\n key={l.uid}\n data-uid={l.uid}\n className={\n \"map-card\" +\n (selectedUid === l.uid ? \" map-card-sel\" : \"\") +\n (mapHoverUid === l.uid ? \" map-card-hover\" : \"\")\n }\n onMouseEnter={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onMouseLeave={() => engineRef.current?.setHovered(null, \"app\")}\n onFocus={() => engineRef.current?.setHovered(l.uid, \"app\")}\n onBlur={() => engineRef.current?.setHovered(null, \"app\")}\n onClickCapture={(e) => onCardClick(e, l.uid)}\n >\n <ListingCard l={l} />\n </div>\n ))}\n\n {!error && total !== null && total > 0 && (\n <Pager\n page={qy.page} pageSize={PAGE_SIZE} total={total}\n onPage={(p) => {\n setQy((q) => ({ ...q, page: p }));\n listRef.current?.scrollTo({ top: 0, behavior: \"smooth\" });\n }}\n />\n )}\n\n {hoverOffscreen && (\n <div className={`ms-hover-hint ${hoverOffscreen}`} aria-hidden=\"true\">\n {hoverOffscreen === \"haut\" ? \"▲ Annonce plus haut\" : \"▼ Annonce plus bas\"}\n </div>\n )}\n </div>\n\n {/* ------------------------------ carte ------------------------------ */}\n <div className=\"mapview\" role=\"application\" aria-label=\"Carte des logements\">\n <KaMapView\n theme={louKaMapTheme}\n mapboxToken={MAPBOX_TOKEN}\n center={initialCamera ?? QUEBEC}\n zoom={(initialCamera ?? QUEBEC).zoom}\n pitch={50}\n basemap={{ theme: \"default\", showLandmarks: true }}\n cluster={{ maxZoom: 15, valueClamp: [250, 8000] }}\n onMoveEnd={onMoveEnd}\n onSelect={onSelect}\n onHover={onHover}\n onDraw={onDraw}\n onClusterHover={setClusterTip}\n >\n <EngineBridge onEngine={handleEngine} />\n <SelectionMirror selectedUid={selectedUid} />\n <KaBrandBadge />\n <Tilt3DControl />\n <DrawControl />\n <LocateControl />\n\n {/* « Rechercher quand je déplace la carte » + zone divergée */}\n <div className=\"ka-search-area\" role=\"group\" aria-label=\"Recherche géographique\">\n {dirty && !searchOnMove && !hasZone && (\n <button type=\"button\" className=\"ka-search-area-btn\"\n onClick={searchThisArea} disabled={loading}>\n {loading ? \"Recherche…\" : \"Rechercher dans cette zone\"}\n </button>\n )}\n {!hasZone && !drawing && (\n <label className=\"ka-search-area-auto\">\n <input\n type=\"checkbox\"\n checked={searchOnMove}\n onChange={() => {\n const next = !searchOnMove;\n setSearchOnMove(next);\n if (next && dirty) searchThisArea();\n }}\n />\n <span>Rechercher quand je déplace la carte</span>\n </label>\n )}\n </div>\n\n {loading && (\n <div className=\"ka-loading\" role=\"status\" aria-live=\"polite\">\n <span className=\"ka-loading-dot\" aria-hidden=\"true\" />\n Mise à jour des logements…\n </div>\n )}\n\n {total === 0 && !loading && (\n <div className=\"ka-empty\" role=\"status\">\n <strong>Aucun logement dans cette zone.</strong>\n <span>Élargissez la carte ou modifiez vos filtres.</span>\n </div>\n )}\n\n {clusterTip && (\n <div\n className=\"ka-cluster-tip\"\n style={{ left: clusterTip.x, top: clusterTip.y }}\n >\n {clusterTip.count.toLocaleString(\"fr-CA\")} logements\n {clusterTip.min != null && clusterTip.max != null && (\n <small>\n {clusterTip.min === clusterTip.max\n ? formatCompactPrice(clusterTip.min)\n : `${formatCompactPrice(clusterTip.min)} – ${formatCompactPrice(clusterTip.max)}`}\n {\" \"}/mois\n </small>\n )}\n </div>\n )}\n\n {!isMobile && <PropertyPreview render={(p) => <LazyPreview p={p} />} />}\n </KaMapView>\n\n {/* ---------- carrousel mobile synchronisé aux marqueurs ---------- */}\n {isMobile && listings.length > 0 && (\n <div\n className=\"ms-carousel\"\n ref={carouselRef}\n onScroll={onCarouselScroll}\n aria-label=\"Annonces de la zone visible\"\n >\n {listings.map((l) => (\n <Link\n key={l.uid}\n to={`/logement/${encodeURIComponent(l.uid)}`}\n data-uid={l.uid}\n className={`ms-car-item${selectedUid === l.uid ? \" sel\" : \"\"}`}\n >\n <SmartImg\n src={l.images?.[0] ?? null} width_={160}\n fallbackLabel={l.unit_type || undefined}\n alt=\"\" loading=\"lazy\" decoding=\"async\"\n />\n <div className=\"ms-car-body\">\n <div className=\"ms-car-price\">\n {fmtPrice(l.price, l.price_label)}\n <FairValueBadge verdict={l.fv_verdict} deviation={l.fv_deviation} compact />\n </div>\n <div className=\"ms-car-title\">{l.title || l.address}</div>\n <div className=\"ms-car-meta\">\n {[l.unit_type, l.sector || l.city].filter(Boolean).join(\" · \")}\n </div>\n </div>\n </Link>\n ))}\n {total !== null && total > qy.page * PAGE_SIZE && (\n <button\n className=\"ms-car-more\"\n onClick={(e) => {\n e.preventDefault();\n setQy((q) => ({ ...q, page: q.page + 1 }));\n carouselRef.current?.scrollTo({ left: 0 });\n }}\n >\n Page suivante →\n </button>\n )}\n </div>\n )}\n </div>\n </div>\n );\n}\n\n/** Pont déclaratif : reflète la sélection venue de l'app vers le moteur.\n * (Le survol liste→carte passe directement par setHovered — < 100 ms.) */\nfunction SelectionMirror({ selectedUid }: { selectedUid: string | null }) {\n const map = useKaMap();\n useEffect(() => { map?.select(selectedUid, \"app\"); }, [map, selectedUid]);\n return null;\n}\n","structuredPatch":[{"oldStart":342,"oldLines":7,"newStart":342,"newLines":7,"lines":[" const url = new URL(window.location.href);"," const set = (k: string, v: string | null) =>"," v === null ? url.searchParams.delete(k) : url.searchParams.set(k, v);","- set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);","+ set(\"tri\", qy.sort === \"recent\" ? null : qy.sort);"," set(\"page\", qy.page > 1 ? String(qy.page) : null);"," set(\"zone\", qy.poly);"," set(\"move\", searchOnMove ? null : 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asc = _get(client, sort=\"prix\", page_size=10,\n59: prix = [p[3] for p in asc[\"points\"] if p[3] is not None]\n60: assert prix == sorted(prix)\n61: desc = _get(client, sort=\"prix_desc\", page_size=10,\n63: prix_d = [p[3] for p in desc[\"points\"] if p[3] is not None]\n64: assert prix_d == sorted(prix_d, reverse=True)\n68: r = client.get(\"/api/search\", params={\"sort\": \"alea\"})"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"12ac4931-fbf6-4a7f-94a8-066db0e53dba","timestamp":"2026-08-22T20:15:27.048Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"57: asc = _get(client, sort=\"prix\", page_size=10,\n59: prix = [p[3] for p in asc[\"points\"] if p[3] is not None]\n60: assert prix == sorted(prix)\n61: desc = _get(client, sort=\"prix_desc\", page_size=10,\n63: prix_d = [p[3] for p in desc[\"points\"] if p[3] is not None]\n64: assert prix_d == sorted(prix_d, reverse=True)\n68: r = client.get(\"/api/search\", params={\"sort\": \"alea\"})","numLines":7}}}64{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQCpHYshuvVEvbfnaDW","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019YTztd7a6aS6fu65kFp4NZ","name":"Grep","input":{"pattern":"sort","path":"/Users/simon-pierreboucher/apps/lou-ka/scripts/test-sync.mjs","output_mode":"content","-n":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1396,"cache_read_input_tokens":52307,"cache_creation":{"ephemeral_5m_input_tokens":1396,"ephemeral_1h_input_tokens":0},"output_tokens":4,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"12691bc4-c447-40d0-9f69-15b6289d6604"}}65{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019YTztd7a6aS6fu65kFp4NZ","type":"tool_result","content":"189: await page.locator('.ms-sort select').selectOption('deal');\n274: const sortVal = await page.locator('.ms-sort select').inputValue();\n277: total === nPts && sortVal === 'recent' && Math.abs(zoom - 13) < 0.6,\n278: `${total} résultats, tri=${sortVal}, zoom=${zoom}`);"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"97b9b5c9-c9d5-40c9-98c4-79a9f59428f4","timestamp":"2026-08-22T20:15:27.409Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"189: await page.locator('.ms-sort select').selectOption('deal');\n274: const sortVal = await page.locator('.ms-sort select').inputValue();\n277: total === nPts && sortVal === 'recent' && Math.abs(zoom - 13) < 0.6,\n278: `${total} résultats, tri=${sortVal}, zoom=${zoom}`);","numLines":4}}}66{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"537fc49d-a6d8-471d-83fd-6eccf487083a","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}67{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQDKXTJDbrQpkqLwemK","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":783,"cache_read_input_tokens":53703,"cache_creation":{"ephemeral_5m_input_tokens":783,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"297fca50-ce50-4a0a-a6de-a85e55190cca"}}68{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQDKXTJDbrQpkqLwemK","type":"message","role":"assistant","content":[{"type":"text","text":"Les tests utilisent des tris explicites, rien ne casse. Je vérifie aussi que la page d'accueil (vue liste) passe bien par le défaut de l'API."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":783,"cache_read_input_tokens":53703,"cache_creation":{"ephemeral_5m_input_tokens":783,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"94ef09b5-c8fb-456b-b47d-34182a4affc4"}}69{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQDKXTJDbrQpkqLwemK","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UdpkSV3t1qJCTrP7aQjjwT","name":"Grep","input":{"pattern":"sort","path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/api.ts","output_mode":"content","-n":true,"-C":3},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":783,"cache_read_input_tokens":53703,"cache_creation":{"ephemeral_5m_input_tokens":783,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"ac971711-c936-447a-8de3-ce9adde5e9f4"}}70{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UdpkSV3t1qJCTrP7aQjjwT","type":"tool_result","content":"272- q?: string;\n273- deal?: string; // \"sous\" | \"marche\" | \"sur\" (juste valeur)\n274- kascore_min?: string; // KA Score global minimal (\"60\" | \"70\" | \"80\")\n275: sort?: string; // \"deal\" affaires | \"ka\" KA Score\n276-}\n277-\n278-export function fetchListings(f: ListingFilters, limit?: number, offset?: number) {\n--\n292-\n293-export type SearchSort = \"prix\" | \"prix_desc\" | \"recent\" | \"deal\" | \"ka\";\n294-\n295:export interface SearchQuery extends Omit<ListingFilters, \"sort\"> {\n296- bbox?: string; // ouest,sud,est,nord — zone visible de la carte\n297- poly?: string; // lng,lat;lng,lat;… — zone dessinée\n298: sort?: SearchSort;\n299- page?: number;\n300- page_size?: number;\n301- include?: \"tout\" | \"liste\"; // \"liste\" : points inchangés côté client\n--\n305- total: number; // compteur partagé liste = carte\n306- page: number;\n307- page_size: number;\n308: sort: SearchSort;\n309- listings: Listing[];\n310- points: SearchPoint[] | null; // null si include=\"liste\"\n311- unpositioned: number; // annonces filtrées sans coordonnées"}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"d238ef91-2352-4434-b631-49cd8ab2a12d","timestamp":"2026-08-22T20:15:36.838Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"272- q?: string;\n273- deal?: string; // \"sous\" | \"marche\" | \"sur\" (juste valeur)\n274- kascore_min?: string; // KA Score global minimal (\"60\" | \"70\" | \"80\")\n275: sort?: string; // \"deal\" affaires | \"ka\" KA Score\n276-}\n277-\n278-export function fetchListings(f: ListingFilters, limit?: number, offset?: number) {\n--\n292-\n293-export type SearchSort = \"prix\" | \"prix_desc\" | \"recent\" | \"deal\" | \"ka\";\n294-\n295:export interface SearchQuery extends Omit<ListingFilters, \"sort\"> {\n296- bbox?: string; // ouest,sud,est,nord — zone visible de la carte\n297- poly?: string; // lng,lat;lng,lat;… — zone dessinée\n298: sort?: SearchSort;\n299- page?: number;\n300- page_size?: number;\n301- include?: \"tout\" | \"liste\"; // \"liste\" : points inchangés côté client\n--\n305- total: number; // compteur partagé liste = carte\n306- page: number;\n307- page_size: number;\n308: sort: SearchSort;\n309- listings: Listing[];\n310- points: SearchPoint[] | null; // null si include=\"liste\"\n311- unpositioned: number; // annonces filtrées sans coordonnées","numLines":26}}}71{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"b2df554e-44ed-4c1a-8209-0bfe25b22b3e","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}72{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQE1RoZR4Lbqt8GJSYz","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":952,"cache_read_input_tokens":54486,"cache_creation":{"ephemeral_5m_input_tokens":952,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"23bea303-35f6-4bc6-810b-ada5af07190e"}}73{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQE1RoZR4Lbqt8GJSYz","type":"message","role":"assistant","content":[{"type":"text","text":"Parfait — la vue liste passe `sort: \"\"`, donc elle héritera du nouveau défaut de l'API. Je rebuild le frontend et redéploie."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":952,"cache_read_input_tokens":54486,"cache_creation":{"ephemeral_5m_input_tokens":952,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"39616f99-e142-4533-8545-104817a70050"}}74{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQE1RoZR4Lbqt8GJSYz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vjkdhbesxs8hYHLNDbjSAw","name":"Bash","input":{"command":"cat /Users/simon-pierreboucher/apps/lou-ka/frontend/package.json | head -30 && pm2 list | head -20","description":"Voir scripts de build et processus 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\"^18.3.1\",\n \"react-router-dom\": \"^6.26.0\",\n \"@groupe-ka/ka-maps\": \"file:../../ka-maps\",\n \"mapbox-gl\": \"^3.28.1\"\n },\n \"devDependencies\": {\n \"@types/react\": \"^18.3.3\",\n \"@types/react-dom\": \"^18.3.0\",\n \"@vitejs/plugin-react\": \"^4.3.1\",\n \"typescript\": \"^5.5.4\",\n \"vite\": \"^5.4.0\"\n }\n}\n┌────┬──────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 171.9mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 183.2mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 5D │ 0 │ online │ 0% │ 131.1mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 835.9mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 4D │ 0 │ online │ 0% │ 159.8mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 118m │ 11 │ online │ 0% │ 198.8mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 51m │ 33 │ online │ 0% │ 137.8mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 61.8mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 12D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 12D │ 0 │ online │ 0% │ 76.9mb │ simon-p… │ disabled │","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"a3c2b700-644d-4ccb-9f76-b6f9181db154","timestamp":"2026-08-22T20:15:43.471Z","tool_use_result":{"stdout":"{\n \"name\": \"lou-ka-frontend\",\n \"author\": \"Simon-Pierre Boucher <contact@spboucher.ai>\",\n \"private\": true,\n \"version\": \"1.0.0\",\n \"type\": \"module\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"tsc -b && vite build\",\n \"preview\": \"vite preview\"\n },\n \"dependencies\": {\n \"react\": \"^18.3.1\",\n \"react-dom\": \"^18.3.1\",\n \"react-router-dom\": \"^6.26.0\",\n \"@groupe-ka/ka-maps\": \"file:../../ka-maps\",\n \"mapbox-gl\": \"^3.28.1\"\n },\n \"devDependencies\": {\n \"@types/react\": \"^18.3.3\",\n \"@types/react-dom\": \"^18.3.0\",\n \"@vitejs/plugin-react\": \"^4.3.1\",\n \"typescript\": \"^5.5.4\",\n \"vite\": \"^5.4.0\"\n }\n}\n┌────┬──────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 171.9mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 183.2mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 5D │ 0 │ online │ 0% │ 131.1mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 835.9mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 4D │ 0 │ online │ 0% │ 159.8mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 118m │ 11 │ online │ 0% │ 198.8mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 51m │ 33 │ online │ 0% │ 137.8mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 61.8mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 12D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 12D │ 0 │ online │ 0% │ 76.9mb │ simon-p… │ disabled 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chunks...\ncomputing gzip size...\ndist/index.html 2.18 kB │ gzip: 0.89 kB\ndist/assets/config-DZiIPMGw.css 46.45 kB │ gzip: 6.71 kB\ndist/assets/index-C6Wjl6B-.css 82.58 kB │ gzip: 16.16 kB\ndist/assets/ListingMap3D-CEXgibkE.js 1.79 kB │ gzip: 0.94 kB\ndist/assets/MapSearch-Bds2yl59.js 16.99 kB │ gzip: 6.27 kB\ndist/assets/index-B-FC1wmC.js 326.01 kB │ gzip: 99.51 kB\ndist/assets/config-DQb4865y.js 1,897.19 kB │ gzip: 529.35 kB\n\n(!) 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Consider:\n- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.77s","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"1c0363ea-90ce-45e5-b88c-2bff08306af3","timestamp":"2026-08-22T20:15:52.875Z","tool_use_result":{"stdout":"rendering chunks...\ncomputing gzip size...\ndist/index.html 2.18 kB │ gzip: 0.89 kB\ndist/assets/config-DZiIPMGw.css 46.45 kB │ gzip: 6.71 kB\ndist/assets/index-C6Wjl6B-.css 82.58 kB │ gzip: 16.16 kB\ndist/assets/ListingMap3D-CEXgibkE.js 1.79 kB │ gzip: 0.94 kB\ndist/assets/MapSearch-Bds2yl59.js 16.99 kB │ gzip: 6.27 kB\ndist/assets/index-B-FC1wmC.js 326.01 kB │ gzip: 99.51 kB\ndist/assets/config-DQb4865y.js 1,897.19 kB │ gzip: 529.35 kB\n\n(!) Some chunks are larger than 500 kB after minification. Consider:\n- Using dynamic import() to code-split the application\n- Use build.rollupOptions.output.manualChunks to improve chunking: https://rollupjs.org/configuration-options/#output-manualchunks\n- Adjust chunk size limit for this warning via build.chunkSizeWarningLimit.\n✓ built in 2.77s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}82{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2faef306-2368-406b-9b7e-670f341903fa","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}83{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bivk1vt2s","tool_use_id":"toolu_01Qbnmwt4tUXj3rrvGpxmcd6","description":"Build du frontend lou-ka","task_type":"local_bash","uuid":"1a41fd9b-8823-48fe-8800-8aceaba04c37","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}84{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQFC4HvtMdnCyv5hczf","type":"message","role":"assistant","content":[{"type":"text","text":"Build OK. Je redémarre l'app et vérifie que le tri par défaut renvoie bien les plus récentes."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":964,"cache_read_input_tokens":57636,"cache_creation":{"ephemeral_5m_input_tokens":964,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"e4dedec3-42d3-41ab-8afd-e454ff87771c"}}85{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQFC4HvtMdnCyv5hczf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TvBjE78cEk1JvLVTYMmxTm","name":"Bash","input":{"command":"pm2 restart lou-ka-web && sleep 3 && pm2 list | grep lou-ka-web","description":"Redémarrer 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│\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 171.9mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 183.2mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 5D │ 0 │ online │ 0% │ 131.1mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 835.9mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 4D │ 0 │ online │ 0% │ 159.8mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 118m │ 11 │ online │ 0% │ 196.0mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 52m │ 33 │ online │ 0% │ 137.8mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 61.8mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 12D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 12D │ 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online │ 0% │ 58.9mb │ simon-p… │ disabled │\n│ 16 │ llmindex-benchmark │ default │ 4.23.5 │ fork │ 0 │ 0 │ 0 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 9 │ llmindex-ngrok │ default │ N/A │ fork │ 93363 │ 17D │ 0 │ online │ 0% │ 217.9mb │ simon-p… │ disabled │\n│ 7 │ llmindex-web │ default │ 0.1.0 │ fork │ 24537 │ 19h │ 20 │ online │ 0% │ 518.3mb │ simon-p… │ disabled │\n│ 10 │ llmindex-worker │ default │ 4.23.5 │ fork │ 44184 │ 17D │ 4 │ online │ 0% │ 51.7mb │ simon-p… │ disabled │\n│ 71 │ localvm-web │ default │ 1.0.0 │ fork │ 4329 │ 10D │ 13 │ online │ 0% │ 111.3mb │ simon-p… │ disabled │\n│ 72 │ localvm-web-ngrok │ default │ N/A │ fork │ 71734 │ 10D │ 0 │ online │ 0% │ 100.9mb │ simon-p… │ disabled │\n│ 27 │ lou-ka-ngrok │ default │ N/A │ fork │ 22790 │ 16D │ 0 │ online │ 0% │ 348.8mb │ simon-p… │ disabled │\n│ 26 │ lou-ka-sync │ default │ 1.0.0 │ fork │ 81853 │ 118m │ 33 │ online │ 0% │ 493.3mb │ simon-p… │ disabled │\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 51452 │ 0s │ 69 │ online │ 0% │ 4.6mb │ simon-p… │ disabled │\n│ 73 │ modelmap-web │ default │ 1.0.0 │ fork │ 23027 │ 10D │ 18 │ online │ 0% │ 71.7mb │ simon-p… │ disabled │\n│ 74 │ modelmap-web-ngrok │ default │ N/A │ fork │ 89389 │ 10D │ 0 │ online │ 0% │ 74.7mb │ simon-p… │ disabled │\n│ 84 │ resto-ka │ default │ N/A │ fork │ 78693 │ 51m │ 20 │ online │ 0% │ 81.7mb │ simon-p… │ disabled │\n│ 85 │ resto-ka-ngrok │ default │ N/A │ fork │ 35426 │ 5D │ 0 │ online │ 0% │ 139.2mb │ simon-p… │ disabled │\n│ 86 │ resto-ka-sync │ default │ N/A │ fork │ 81889 │ 118m │ 7 │ online │ 0% │ 282.3mb │ simon-p… │ disabled │\n│ 66 │ spbdrive-server │ default │ 2.1.0 │ fork │ 54545 │ 11D │ 3 │ online │ 0% │ 89.0mb │ simon-p… │ disabled │\n│ 68 │ spbdrive-tunnel │ default │ N/A │ fork │ 58322 │ 12D │ 0 │ online │ 0% │ 59.8mb │ simon-p… │ disabled │\n│ 70 │ svgarden-tunnel │ default │ N/A │ fork │ 34955 │ 11D │ 1 │ online │ 0% │ 77.6mb │ simon-p… │ disabled │\n│ 69 │ svgarden-web │ default │ 1.0.0 │ fork │ 34954 │ 11D │ 1 │ online │ 0% │ 65.4mb │ simon-p… │ disabled │\n│ 23 │ voyage2026 │ default │ N/A │ fork │ 43917 │ 16D │ 0 │ online │ 0% │ 40.0mb │ simon-p… │ disabled │\n│ 24 │ voyage2026-ngrok │ default │ N/A │ fork │ 43929 │ 16D │ 0 │ online │ 0% │ 59.1mb │ simon-p… │ disabled │\n└────┴──────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 51452 │ 3s │ 69 │ online │ 0% │ 78.9mb │ simon-p… │ disabled │","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"5444d0b6-62ce-4f9b-b7a3-9a0da76b1771","timestamp":"2026-08-22T20:16:00.760Z","tool_use_result":{"stdout":"Use --update-env to update environment variables\n[PM2] Applying action restartProcessId on app [lou-ka-web](ids: [ 25 ])\n[PM2] [lou-ka-web](25) ✓\n┌────┬──────────────────────────┬─────────────┬─────────┬─────────┬──────────┬────────┬──────┬───────────┬──────────┬──────────┬──────────┬──────────┐\n│ id │ name │ namespace │ version │ mode │ pid │ uptime │ ↺ │ status │ cpu │ mem │ user │ watching │\n├────┼──────────────────────────┼─────────────┼─────────┼─────────┼──────────┼────────┼──────┼───────────┼──────────┼──────────┼──────────┼──────────┤\n│ 6 │ airiskindex-ngrok │ default │ N/A │ fork │ 13980 │ 17D │ 0 │ online │ 0% │ 171.9mb │ simon-p… │ disabled │\n│ 5 │ airiskindex-web │ default │ N/A │ fork │ 65729 │ 17D │ 13 │ online │ 0% │ 183.2mb │ simon-p… │ disabled │\n│ 75 │ anomaly-atlas │ default │ N/A │ fork │ 33650 │ 10D │ 14 │ online │ 0% │ 74.3mb │ simon-p… │ disabled │\n│ 76 │ anomaly-atlas-ngrok │ default │ N/A │ fork │ 61023 │ 10D │ 0 │ online │ 0% │ 73.1mb │ simon-p… │ disabled │\n│ 77 │ apika-api │ default │ N/A │ fork │ 13966 │ 3D │ 21 │ online │ 0% │ 702.2mb │ simon-p… │ disabled │\n│ 79 │ apika-ngrok │ default │ N/A │ fork │ 11978 │ 5D │ 0 │ online │ 0% │ 131.1mb │ simon-p… │ disabled │\n│ 78 │ apika-scheduler │ default │ N/A │ fork │ 58993 │ 4D │ 6 │ online │ 0% │ 11.5gb │ simon-p… │ disabled │\n│ 21 │ coinexplorer-api │ default │ N/A │ fork │ 4186 │ 16D │ 6 │ online │ 0% │ 219.7mb │ simon-p… │ disabled │\n│ 19 │ coinexplorer-indexer │ default │ N/A │ fork │ 54216 │ 16D │ 3 │ online │ 0% │ 835.9mb │ simon-p… │ disabled │\n│ 22 │ coinexplorer-ngrok │ default │ N/A │ fork │ 60713 │ 16D │ 0 │ online │ 0% │ 151.4mb │ simon-p… │ disabled │\n│ 89 │ crea-ka-ngrok │ default │ N/A │ fork │ 63473 │ 4D │ 0 │ online │ 0% │ 159.8mb │ simon-p… │ disabled │\n│ 94 │ crea-ka-sync │ default │ N/A │ fork │ 81871 │ 118m │ 11 │ online │ 0% │ 196.0mb │ simon-p… │ disabled │\n│ 87 │ crea-ka-web │ default │ N/A │ fork │ 77232 │ 52m │ 33 │ online │ 0% │ 137.8mb │ simon-p… │ disabled │\n│ 28 │ draft2027 │ default │ N/A │ fork │ 89898 │ 13D │ 0 │ online │ 0% │ 41.3mb │ simon-p… │ disabled │\n│ 29 │ draft2027-ngrok │ default │ N/A │ fork │ 89910 │ 13D │ 0 │ online │ 0% │ 61.8mb │ simon-p… │ disabled │\n│ 60 │ earthnow-api │ default │ N/A │ fork │ 87198 │ 12D │ 0 │ online │ 0% │ 80.0mb │ simon-p… │ disabled │\n│ 63 │ earthnow-ngrok │ default │ N/A │ fork │ 87239 │ 12D │ 0 │ online │ 0% │ 76.9mb │ simon-p… │ disabled │\n│ 62 │ earthnow-proxy │ default │ N/A │ fork │ 87227 │ 12D │ 0 │ online │ 0% │ 46.4mb │ simon-p… │ disabled │\n│ 61 │ earthnow-web │ default │ 0.1.0 │ fork │ 87210 │ 12D │ 0 │ online │ 0% │ 108.5mb │ simon-p… │ disabled │\n│ 30 │ groupe-ka │ default │ 1.0.0 │ fork │ 69538 │ 57m │ 73 │ online │ 0% │ 258.0mb │ simon-p… │ disabled │\n│ 31 │ groupe-ka-ngrok │ default │ N/A │ fork │ 26263 │ 7D │ 1 │ online │ 0% │ 199.1mb │ simon-p… │ disabled │\n│ 95 │ groupe-ka-status-tick │ default │ 1.0.0 │ fork │ 0 │ 0 │ 150 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 0 │ immbot-ai │ default │ 1.0.0 │ fork │ 19793 │ 17D │ 6 │ online │ 0% │ 150.7mb │ simon-p… │ disabled │\n│ 1 │ immbot-ngrok │ default │ N/A │ fork │ 76976 │ 17D │ 1 │ online │ 0% │ 70.5mb │ simon-p… │ disabled │\n│ 64 │ khaelor-sh │ default │ N/A │ fork │ 13042 │ 11D │ 2 │ online │ 0% │ 44.2mb │ simon-p… │ disabled │\n│ 65 │ khaelor-sh-ngrok │ default │ N/A │ fork │ 21045 │ 12D │ 0 │ online │ 0% │ 58.9mb │ simon-p… │ disabled │\n│ 16 │ llmindex-benchmark │ default │ 4.23.5 │ fork │ 0 │ 0 │ 0 │ stopped │ 0% │ 0b │ simon-p… │ disabled │\n│ 9 │ llmindex-ngrok │ default │ N/A │ fork │ 93363 │ 17D │ 0 │ online │ 0% │ 217.9mb │ simon-p… │ disabled │\n│ 7 │ llmindex-web │ default │ 0.1.0 │ fork │ 24537 │ 19h │ 20 │ online │ 0% │ 518.3mb │ simon-p… │ disabled │\n│ 10 │ llmindex-worker │ default │ 4.23.5 │ fork │ 44184 │ 17D │ 4 │ online │ 0% │ 51.7mb │ simon-p… │ disabled │\n│ 71 │ localvm-web │ default │ 1.0.0 │ fork │ 4329 │ 10D │ 13 │ online │ 0% │ 111.3mb │ simon-p… │ disabled │\n│ 72 │ localvm-web-ngrok │ default │ N/A │ fork │ 71734 │ 10D │ 0 │ online │ 0% │ 100.9mb │ simon-p… │ disabled │\n│ 27 │ lou-ka-ngrok │ default │ N/A │ fork │ 22790 │ 16D │ 0 │ online │ 0% │ 348.8mb │ simon-p… │ disabled │\n│ 26 │ lou-ka-sync │ default │ 1.0.0 │ fork │ 81853 │ 118m │ 33 │ online │ 0% │ 493.3mb │ simon-p… │ disabled │\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 51452 │ 0s │ 69 │ online │ 0% │ 4.6mb │ simon-p… │ disabled │\n│ 73 │ modelmap-web │ default │ 1.0.0 │ fork │ 23027 │ 10D │ 18 │ online │ 0% │ 71.7mb │ simon-p… │ disabled │\n│ 74 │ modelmap-web-ngrok │ default │ N/A │ fork │ 89389 │ 10D │ 0 │ online │ 0% │ 74.7mb │ simon-p… │ disabled │\n│ 84 │ resto-ka │ default │ N/A │ fork │ 78693 │ 51m │ 20 │ online │ 0% │ 81.7mb │ simon-p… │ disabled │\n│ 85 │ resto-ka-ngrok │ default │ N/A │ fork │ 35426 │ 5D │ 0 │ online │ 0% │ 139.2mb │ simon-p… │ disabled │\n│ 86 │ resto-ka-sync │ default │ N/A │ fork │ 81889 │ 118m │ 7 │ online │ 0% │ 282.3mb │ simon-p… │ disabled │\n│ 66 │ spbdrive-server │ default │ 2.1.0 │ fork │ 54545 │ 11D │ 3 │ online │ 0% │ 89.0mb │ simon-p… │ disabled │\n│ 68 │ spbdrive-tunnel │ default │ N/A │ fork │ 58322 │ 12D │ 0 │ online │ 0% │ 59.8mb │ simon-p… │ disabled │\n│ 70 │ svgarden-tunnel │ default │ N/A │ fork │ 34955 │ 11D │ 1 │ online │ 0% │ 77.6mb │ simon-p… │ disabled │\n│ 69 │ svgarden-web │ default │ 1.0.0 │ fork │ 34954 │ 11D │ 1 │ online │ 0% │ 65.4mb │ simon-p… │ disabled │\n│ 23 │ voyage2026 │ default │ N/A │ fork │ 43917 │ 16D │ 0 │ online │ 0% │ 40.0mb │ simon-p… │ disabled │\n│ 24 │ voyage2026-ngrok │ default │ N/A │ fork │ 43929 │ 16D │ 0 │ online │ 0% │ 59.1mb │ simon-p… │ disabled │\n└────┴──────────────────────────┴─────────────┴─────────┴─────────┴──────────┴────────┴──────┴───────────┴──────────┴──────────┴──────────┴──────────┘\n│ 25 │ lou-ka-web │ default │ 1.0.0 │ fork │ 51452 │ 3s │ 69 │ online │ 0% │ 78.9mb │ simon-p… │ disabled │","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}90{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQFnLonKPknuxxAmuRD","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":4500,"cache_read_input_tokens":58600,"cache_creation":{"ephemeral_5m_input_tokens":4500,"ephemeral_1h_input_tokens":0},"output_tokens":5,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"0fcec7f0-85ca-4b46-a587-565062472765"}}91{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQFnLonKPknuxxAmuRD","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RJPEraAMP6XeRpa7K7EvMK","name":"Bash","input":{"command":"pm2 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script id │ 25 │\n/Users/simon-pierreboucher/apps/lou-ka/run.py:10: python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n/Users/simon-pierreboucher/apps/lou-ka/run.py:17:from __future__ import annotations\n/Users/simon-pierreboucher/apps/lou-ka/run.py:19:import os\n/Users/simon-pierreboucher/apps/lou-ka/run.py:20:import sys\n/Users/simon-pierreboucher/apps/lou-ka/run.py:21:from pathlib import Path","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"0ce81105-2722-4360-b10d-d9ea3212713b","timestamp":"2026-08-22T20:16:06.281Z","tool_use_result":{"stdout":"│ script path │ /Users/simon-pierreboucher/apps/lou-ka/.venv/bin/python │\n│ script args │ run.py serve 8095 │\n│ interpreter │ none │\n│ interpreter args │ N/A │\n│ script id │ 25 │\n/Users/simon-pierreboucher/apps/lou-ka/run.py:10: python run.py serve [port] # démarre l'API + le frontend (défaut 8080)\n/Users/simon-pierreboucher/apps/lou-ka/run.py:17:from 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