{"type":"user_prompt","text":"Est ce que on peut faire en sorte que les logement les plus récent soit ceux qui sont afficher en premier sur Louka et non ceux avec le plus faible prix","ts":1787429626847}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CQw57SJSvQzcVea7ByRVKc","type":"tool_result","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 ? \"▲\" : \"▼\") : \"↕\"}"}]},"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}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"af9770ac-0c71-4748-925a-5b0cb022aedb","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"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"}}
{"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"}}
{"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"}}
{"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}}}}
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{"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) ?? 0;\n    byCoord.set(key, n + 1);","numLines":25,"startLine":50,"totalLines":864}}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ7iWQ3YQ2z1kFL6tLj","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":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":"fec0dbb7-8780-4d54-b3cc-91f35dbecbb0"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ7iWQ3YQ2z1kFL6tLj","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NyBYmqFzp7AB1KccoNmovz","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/pages/Home.tsx","offset":80,"limit":60},"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":"8dfcc4e8-7aee-44aa-8d4a-18bc8daf856d"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NyBYmqFzp7AB1KccoNmovz","type":"tool_result","content":"80\t    if (!sheetOpen) return () => { document.body.style.overflow = \"\"; };\n81\t    const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n82\t    window.addEventListener(\"keydown\", onKey);\n83\t    return () => {\n84\t      document.body.style.overflow = \"\";\n85\t      window.removeEventListener(\"keydown\", onKey);\n86\t    };\n87\t  }, [sheetOpen]);\n88\t  const activeFilters = [q, city, sector, source, priceMin, priceMax, unitType,\n89\t    dispo, pets, furnished, areaMin, deal, kaMin].filter(Boolean).length;\n90\t  const advCount = [dispo, pets, furnished, areaMin, source, kaMin].filter(Boolean).length;\n91\t  // vue liste ou carte (mémorisée dans l'URL : /?view=carte)\n92\t  const [view, setView] = useState<\"liste\" | \"carte\">(\n93\t    params.get(\"view\") === \"carte\" ? \"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}}}}
{"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"}}
{"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}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c1f6d427-c540-4646-b831-aaf37db8ce60","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQ8VjUvWxuet4zTAGoq","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"","signature":"CAISxBEKpwEIERgCKkDlLJNeZs3Auk1tVLP8YmtTNZ0vgeO9LvmRvB8KopkquF1BM4ObM+D7REQFmQrheWsbnUmNGVt4KCT9FFBU83FwMg5jbGF1ZGUtZmFibGUtNTgBQgh0aGlua2luZ1okNmZjYzhmODMtMWY5Yy00ZDMzLWJhMDctNGQ0ZGYzN2Q2N2Y1chCLToDU25FEmjjVqZecraU5iAEBqAGthqjUBrABAhIMfpUDBw/9GLkdFbpQGgyPVxNM/AuB+x4V7akiMK6ObsDUN71SR6/NN+lM6RHVT5ThuRDBX1jTWVBV/HecVbKIILrFLR1cWNRhDp2TXirJDzkAQi+YK/K/UEfMCvmbB7BClq//A9W3dE/peebunJKJ3C06s8kKYs+JIMpxAJvemlzXNDHnI2cBEa8tA75a/Os8vRcGiehZfTCHHEibd6xOciSKZWKSnZHCssWh8E+14TVAJtkjS1BfAmqv17znqUHshlM9aRrVii8ZSSKy24rcIVkIwYyzBkv2WY8tXEOX0H76DTVi6PrhWu/3n9mH/UpVDitQ7WBRoYJbvT/n8qqyTsew57sVTts7QbOnpvLZDRXuodBpaVIuATwaL9iba/oIpEe6oP7w+CGHkfhb6HiSogHgYkbZHcTx5KNEeUpqL9IiTHzgn+9b492LtVGokmP4QB0oDsPKQFl9G08YP+sm6MoHjcUJylpkviOlHHwkf0q6Wh5QbU28f9/aqxQFFT7hAGPQAhNgPqPN/pLxUE8vmkat7qMpuSAenmlcYLvGTuJqRUI5pb3rS9w4r/g2+FZmgKYkWcyOlRbtBjc56cM8jzu+cx+kpVFnp8QIdPDz1SX9jFuF4MVtbUNsFuywl1DoPTncCqpiH8yjkdLW0Bgqge1J6OESzUsmM4u+IqeUwAMiu4GadBMIbdM1RHTcP0FZw59OJ9Ek3wCMWchwcnCWLLwY5FdWUD497RhyiVePclwod/rTgzAmPyRFnLiUxEhB8EsOOmwjtzWGHyd+U6TYAO3oN28lMGmPP3WP7oXcZyD+o69m/S7PtkQmvdy8icIl9w2lbKCdvhZMqpQx/wmEOURvW5vIil16mF8EZSJZ+A1NEuxWO/W8NlYm0CXCZZxB27STsRbFIKacbC1+N1nEHjtpipPYolkJvA20T8tPFE0Ge/ViE8zD1OCCNLUd3MOOf5jFP/06gjsG1CnEdT3xxXsYch2C0pFR6gPWPM3KVunJcDIEShF4dMPPPo/I4MPQUW2wcb04tVrSSB80cV6mvfYZJ5ufrDWTkikgTGKwlVKQprNB2unvNP4dK0GoZBxGa1oEl9C0JpL9uWs57xg2cNFHJaOXw5qnOQw+fC8gfJi95Sh7w1Qz15chTleHAck05UOnheu+9ZN6mVsUC7jo5XesI3B/WnN2maA9iOKTpDyh5L7d0Yr4Emr6ZT2aXO15xrM8HQLcb2zxG9A12IoFR0No7/QRNeMgJr8RTWOJL54Iyvq9hewuXdiIfha4c5EFdX1BXWbuKoiszkwZrzyzTG/Gy3MRkkOAppjxqGU3f+CzGhR3G1xoMnyITKyeOmS4l6CipCLt15jogAVaL4FIgU2zbLLBnl5cxfdqeTmYQtUGU23qY7AbJBw9akD/Xehn7yZ8kgvIxJn7Z3l2z2IJiH4Spk+NrkiCsFfF13+ZePqfsQE7RK9zlPJF3UiwhBvzTOsQ0IYs8ATxersj7x27aOaHWEVNsMeE76s19XaZGzarr/HE4WcJHsIz6OZb7BBRFW4eLdP5G+ORpyWBAxM9TkgorBJTYxBW+oXFnU/rCTcjwaP3Ruk2bWrnbQeDM+hQkL08aqj9XNl9p99Giu/O+ETzzPA4VIgPaBrT5GzSoAg1EsUU/ZqKxqATkIK0AylkrksDKIJOn+sLR6782BsLux1M8Y27kUCmfTO4SLihjOmMKPAUYfLiDyuOlVc9CFdNAaz/gOdbygp21UbBnuqORPmkJhZqe6zJxE6XJAcqnl0NdtOaqHr8Bmo4MnK4WrIDLw/zm6+kw922y2HxhvqyGHDv14X85/ca0xBS+UX64wiS5vrOs/Hyg2jP8xPCo1Niv/WJACU0y93P6YOBTQLYo/tOIS4V3/v+bZqppdlg36RX+5gR0xg1fD0KasgG8aEAfhx8c8DMhW57St7qhLhjv1JhN7/z1bc5ny2+K2d6T0CLsK6uOUq7wsByJOZ+ur+uPSJul6Clk0NjwFLZ5emI3feDey9FAhHcEMVzWjR5RsOd2RFcOsITG95s56zKjMQ9TAU9Qhces+NfZXGgvsvFFfJVVYSrn2pkFHqwpxayXFQcqTyWBQuh4/YpCMsToY95BCbemInBn21CgwKzFd4g6fTWt3mxl9C6Xg6XH9e37jPWvBsMl46dnehaphYMhxiOf47ALaH9pV5hnidGxTYqOB5rLaM6ANqr0VzvrobLDLbdpviXJohugqk1vxRKd5KuoLkAN/TSfX9Zju8wf9mS0vfId0UaPn33Rtln10l93V9ETajJPiaHRIb17WfmNxroIouRguzOz8wUMF3DSZ9tB7kwBKDSmJlcA2fOVONnvJ2YTimFlY0VJg/7cvZ7htVXEVzWG125aIbjajnaMiLcR5J7q73vrhgWr86751VNICMhV2+0i8Ug9ezxuuAA3oGemgVHaaByplQT+YgqwpJ7YymRmc8rrPhpCCIAnjJ0fEAmb8MGgfCEHkk0NPMdAnHUOymYqA/tAHgPWN+UvPsozTanAky2JU3a+u+D72MT97szCPC9yCIkmfZ0l6CNGCorHWpT1az9/Dr5YpzrGafPGhI1NlTVAEpZYe4zhJKrXafIqr+CCpTu9ob4JY97wvm+48MkRrFYKtlyUdaTtia61HBJxipJSwSli2eMRQxFZM6JqztQ+BBMlxuCRdWtR6crkvYUF60s0pg/fJvE595e87WqUeWEXYSIq8F9UllO8mWpM/dcJixl6bPztbp4aXaSN4pHeNZEoFIYAQ=="}],"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"}}
{"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"}}
{"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"}}
{"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}}}}
{"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"}}
{"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}}}}
{"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"}}
{"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}}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"282461cb-171b-467f-a793-65234f08a44a","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"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"}}
{"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"}}
{"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"}}
{"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}}}
{"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"}}
{"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 = []"]}],"userModified":false,"replaceAll":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018JaFbXcebxvup1n53i9HeS","type":"tool_result","content":"270\t# 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 ks_transit,\"","numLines":14,"startLine":270,"totalLines":787}}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01UixU4qMrF4XMNsjMJzrsNm","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":"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}}}
{"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"}}
{"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}}}
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{"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"}}
{"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}}}
{"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) ?? \"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\",","new_string":"    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\","},"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":"174b7618-a26d-4c2c-9223-41f9eb756ffd"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01QuyCvkHZ1ZNmfxmxdLV3KX","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":"390d82ab-31ce-4dd8-8e27-c00696cadec5","timestamp":"2026-08-22T20:15:19.774Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","oldString":"    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\",","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 ? Math.floor(p) : 1,","     };","   });"]}],"userModified":false,"replaceAll":false}}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQBw4pCwLszbCqjswE1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_012fZgyd2SmRGsQUyLgVHTVr","name":"Edit","input":{"replace_all":false,"file_path":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","old_string":"    set(\"tri\", qy.sort === \"prix\" ? null : qy.sort);","new_string":"    set(\"tri\", qy.sort === \"recent\" ? null : qy.sort);"},"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":"be987c34-43ae-43ce-bf8b-be25e9251f41"}}
{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_012fZgyd2SmRGsQUyLgVHTVr","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":"1a6394c6-5109-4a0f-8c6b-00579ec6313f","timestamp":"2026-08-22T20:15:20.654Z","tool_use_result":{"filePath":"/Users/simon-pierreboucher/apps/lou-ka/frontend/src/search/MapSearch.tsx","oldString":"    set(\"tri\", qy.sort === \"prix\" ? 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 : \"0\");"]}],"userModified":false,"replaceAll":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01G7fkSeKAitjN378CCi4y9R","type":"tool_result","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\"})"}]},"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}}}
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{"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}}}
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{"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"}}
{"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"}}
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{"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}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Qbnmwt4tUXj3rrvGpxmcd6","type":"tool_result","content":"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","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}}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"2faef306-2368-406b-9b7e-670f341903fa","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"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"}}
{"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"}}
{"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 lou-ka-web"},"caller":{"type":"direct"}}],"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":"439aa59e-3140-42d5-915c-bca04de9c8b9"}}
{"type":"claude","event":{"type":"system","subtype":"task_started","task_id":"bmdo3pm9z","tool_use_id":"toolu_01TvBjE78cEk1JvLVTYMmxTm","description":"Redémarrer lou-ka-web","task_type":"local_bash","uuid":"0cfa02b2-1cb2-42bb-a335-4cc13765109a","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"type":"claude","event":{"type":"system","subtype":"task_notification","task_id":"bmdo3pm9z","tool_use_id":"toolu_01TvBjE78cEk1JvLVTYMmxTm","status":"completed","output_file":"","summary":"Redémarrer lou-ka-web","uuid":"d47146aa-c563-49be-bcb0-1446b6c3c5f7","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"eeab00b6-d0f3-45cb-876e-23a6bc281e9e","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb"}}
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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    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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    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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   │ 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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015eETj6UitPmBF4pmqGuJvG","type":"tool_result","content":".........                                                                [100%]\n9 passed in 3.17s","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"adaa759c-46ba-4a6b-8b24-b281e0e91d89","timestamp":"2026-08-22T20:16:23.398Z","tool_use_result":{"stdout":".........                                                                [100%]\n9 passed in 3.17s","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LpgnWt6xHba8u3pc7N6JnY","type":"tool_result","content":"[main cebcc31] tri par défaut : annonces les plus récentes d'abord (liste, carte, geojson) au lieu du prix croissant\n 2 files changed, 10 insertions(+), 8 deletions(-)\nTo gitsrv:srv/git/lou-ka.git\n   11b17c4..cebcc31  main -> main","is_error":false}]},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"3e28b193-ce34-426a-9c8b-0cf21b9a49bf","timestamp":"2026-08-22T20:16:28.599Z","tool_use_result":{"stdout":"[main cebcc31] tri par défaut : annonces les plus récentes d'abord (liste, carte, geojson) au lieu du prix croissant\n 2 files changed, 10 insertions(+), 8 deletions(-)\nTo gitsrv:srv/git/lou-ka.git\n   11b17c4..cebcc31  main -> main","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false}}}
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{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQHpeGizuXE8cYxhKM4","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":326,"cache_read_input_tokens":64250,"cache_creation":{"ephemeral_5m_input_tokens":326,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"a92bed43-5ebc-46a2-b4ca-f55a8859f88b"}}
{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJQHpeGizuXE8cYxhKM4","type":"message","role":"assistant","content":[{"type":"text","text":"C'est fait — les logements les plus récents s'affichent maintenant en premier par défaut sur Lou-Ka, partout :\n\n- **API `/api/listings`** (vue liste de l'accueil) : défaut `first_seen DESC` au lieu de prix croissant ; `sort=prix` reste disponible explicitement (louka/web.py:148-152)\n- **API `/api/search`** (vue carte) : défaut `recent` au lieu de `prix`, avec bris d'égalité par prix\n- **GeoJSON** : les points limités privilégient aussi les plus récents\n- **Front (MapSearch)** : « Plus récentes » est maintenant le premier choix du sélecteur et le défaut ; les tris explicites (prix, meilleures affaires, KA Score) fonctionnent toujours, et les liens partagés avec `tri=…` sont respectés\n\nBuild frontend OK, `pm2 restart lou-ka-web` fait, healthcheck vérifié (l'API renvoie bien les annonces par récence), 9 tests de recherche passés, commit `cebcc31` poussé sur spbgit."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":326,"cache_read_input_tokens":64250,"cache_creation":{"ephemeral_5m_input_tokens":326,"ephemeral_1h_input_tokens":0},"output_tokens":9,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","uuid":"039a686e-ff62-469b-88c0-f49de6dcd8f8"}}
{"type":"claude","event":{"type":"result","subtype":"success","is_error":false,"api_error_status":null,"duration_ms":169408,"duration_api_ms":156618,"num_turns":30,"result":"C'est fait — les logements les plus récents s'affichent maintenant en premier par défaut sur Lou-Ka, partout :\n\n- **API `/api/listings`** (vue liste de l'accueil) : défaut `first_seen DESC` au lieu de prix croissant ; `sort=prix` reste disponible explicitement (louka/web.py:148-152)\n- **API `/api/search`** (vue carte) : défaut `recent` au lieu de `prix`, avec bris d'égalité par prix\n- **GeoJSON** : les points limités privilégient aussi les plus récents\n- **Front (MapSearch)** : « Plus récentes » est maintenant le premier choix du sélecteur et le défaut ; les tris explicites (prix, meilleures affaires, KA Score) fonctionnent toujours, et les liens partagés avec `tri=…` sont respectés\n\nBuild frontend OK, `pm2 restart lou-ka-web` fait, healthcheck vérifié (l'API renvoie bien les annonces par récence), 9 tests de recherche passés, commit `cebcc31` poussé sur spbgit.","stop_reason":"end_turn","session_id":"28de7ad9-d26d-4d8d-9654-794d20b094fb","total_cost_usd":0.6574426000000001,"usage":{"input_tokens":38,"cache_creation_input_tokens":64576,"cache_read_input_tokens":944252,"output_tokens":8762,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":64576},"inference_geo":"","iterations":[{"input_tokens":2,"output_tokens":459,"cache_read_input_tokens":64250,"cache_creation_input_tokens":326,"cache_creation":{"ephemeral_5m_input_tokens":326,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"modelUsage":{"claude-haiku-4-5-20251001":{"inputTokens":378,"outputTokens":17,"cacheReadInputTokens":0,"cacheCreationInputTokens":0,"webSearchRequests":0,"costUSD":0.00046300000000000003,"contextWindow":200000,"maxOutputTokens":32000},"claude-fable-5":{"inputTokens":38,"outputTokens":8762,"cacheReadInputTokens":944252,"cacheCreationInputTokens":64576,"webSearchRequests":0,"costUSD":0.6569796000000001,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"terminal_reason":"completed","fast_mode_state":"off","uuid":"9bba8838-99c9-450e-ad2e-5662a7f1c94f"}}
{"type":"status","state":"idle"}