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OFFSET ?\"\n107: \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 12\",\n113: ORDER BY price IS NULL, price ASC LIMIT 8\"\"\",\n139: ORDER BY p.price IS NULL, p.price ASC\"\"\",\n168: \" GROUP BY category ORDER BY n DESC\")],\n170: brand_sql + \" GROUP BY brand ORDER BY n DESC LIMIT 60\", brand_args)],\n173: \" GROUP BY source ORDER BY n DESC\")],\n209: FROM products WHERE active=1 GROUP BY source ORDER BY n DESC\"\"\")]\n213: GROUP BY category ORDER BY n DESC\"\"\")]\n218: ORDER BY (regular_price - price) / regular_price DESC LIMIT 24\"\"\")]\n220: \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]"}]},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"6f18023f-7333-4662-ad88-7571cef65541","timestamp":"2026-08-22T21:42:50.780Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"31:_SORTS = {\n63: sort: str = \"price_asc\",\n91: sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n107: \"SELECT ts, price FROM price_log WHERE uid=? ORDER BY ts DESC LIMIT 12\",\n113: ORDER BY price IS NULL, price ASC LIMIT 8\"\"\",\n139: ORDER BY p.price IS NULL, p.price ASC\"\"\",\n168: \" GROUP BY category ORDER BY n DESC\")],\n170: brand_sql + \" GROUP BY brand ORDER BY n DESC LIMIT 60\", brand_args)],\n173: \" GROUP BY source ORDER BY n DESC\")],\n209: FROM products WHERE active=1 GROUP BY source ORDER BY n DESC\"\"\")]\n213: GROUP BY category ORDER BY n DESC\"\"\")]\n218: ORDER BY (regular_price - price) / regular_price DESC LIMIT 24\"\"\")]\n220: \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]","numLines":13}}}14{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWsRKiGoPSY1GkzdEVs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01V7ZLdxRjKKYiPEVvfKU4YU","name":"Grep","input":{"pattern":"sort","path":"/Users/simon-pierreboucher/apps/food-ka/frontend/src/pages/Home.tsx","output_mode":"content","-n":true,"-i":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":1488,"cache_read_input_tokens":33448,"cache_creation":{"ephemeral_5m_input_tokens":1488,"ephemeral_1h_input_tokens":0},"output_tokens":17,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"719bc19a-0b7c-419d-a35d-944ee2928041"}}15{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01V7ZLdxRjKKYiPEVvfKU4YU","type":"tool_result","content":"22:const SORT_CHOICES: { key: string; label: string }[] = [\n50: const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));\n81: sort, limit: String(PAGE_SIZE),\n82: }), [q, category, source, brand, priceMin, priceMax, onSale, sort]);\n246: <select value={sort} onChange={(e) => setSort(e.target.value)}>\n247: {SORT_CHOICES.map((s) => ("}]},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"78a3ccfa-d001-4617-a776-d4119d24b495","timestamp":"2026-08-22T21:42:51.610Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"22:const SORT_CHOICES: { key: string; label: string }[] = [\n50: const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));\n81: sort, limit: String(PAGE_SIZE),\n82: }), [q, category, source, brand, priceMin, priceMax, onSale, sort]);\n246: <select value={sort} onChange={(e) => setSort(e.target.value)}>\n247: {SORT_CHOICES.map((s) => (","numLines":6}}}16{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"c726cc0c-225c-4d08-8194-4bb892acf305","session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88"}}17{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWst82JLjHxmcunRZHg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01864dgKefLii3VfSq8WtZjR","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/food-ka/foodka/web.py","offset":25,"limit":70},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":993,"cache_read_input_tokens":34936,"cache_creation":{"ephemeral_5m_input_tokens":993,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"d5c49eea-9903-4117-a021-d72dcc79b3cb"}}18{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01864dgKefLii3VfSq8WtZjR","type":"tool_result","content":"25\tapp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n26\t allow_methods=[\"*\"], allow_headers=[\"*\"])\n27\t\n28\t_sync_lock = threading.Lock()\n29\t\n30\t# tris supportés -> clause SQL (liste blanche, jamais d'injection)\n31\t_SORTS = {\n32\t \"price_asc\": \"price IS NULL, price ASC\",\n33\t \"price_desc\": \"price IS NULL, price DESC\",\n34\t \"unit_price\": \"unit_price IS NULL, unit_price ASC\",\n35\t \"discount\": \"(CASE WHEN regular_price IS NOT NULL AND price IS NOT NULL\"\n36\t \" THEN (regular_price - price) / regular_price ELSE 0 END) DESC\",\n37\t \"name\": \"name COLLATE NOCASE ASC\",\n38\t \"recent\": \"first_seen DESC\",\n39\t}\n40\t\n41\t\n42\tdef _row_to_dict(row) -> dict:\n43\t d = dict(row)\n44\t d[\"keywords\"] = json.loads(d.get(\"keywords\") or \"[]\")\n45\t d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n46\t d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n47\t d[\"on_sale\"] = bool(d.get(\"on_sale\"))\n48\t if d.get(\"in_stock\") is not None:\n49\t d[\"in_stock\"] = bool(d[\"in_stock\"])\n50\t return d\n51\t\n52\t\n53\t@app.get(\"/api/products\")\n54\tdef list_products(\n55\t category: str | None = None,\n56\t source: str | None = None,\n57\t brand: str | None = None,\n58\t price_max: float | None = None,\n59\t price_min: float | None = None,\n60\t on_sale: int | None = None, # 1 = en solde seulement\n61\t in_stock: int | None = None, # 1 / 0\n62\t q: str | None = None,\n63\t sort: str = \"price_asc\",\n64\t active: int = 1,\n65\t limit: int = Query(60, le=500),\n66\t offset: int = 0,\n67\t):\n68\t con = db.connect()\n69\t sql = \"SELECT * FROM products WHERE 1=1\"\n70\t args: list = []\n71\t if active in (0, 1):\n72\t sql += \" AND active=?\"; args.append(active)\n73\t if category:\n74\t sql += \" AND category=?\"; args.append(category)\n75\t if source:\n76\t sql += \" AND source=?\"; args.append(source)\n77\t if brand:\n78\t sql += \" AND brand LIKE ?\"; args.append(f\"%{brand}%\")\n79\t if price_max is not None:\n80\t sql += \" AND price IS NOT NULL AND price<=?\"; args.append(price_max)\n81\t if price_min is not None:\n82\t sql += \" AND price IS NOT NULL AND price>=?\"; args.append(price_min)\n83\t if on_sale == 1:\n84\t sql += \" AND on_sale=1\"\n85\t if in_stock in (0, 1):\n86\t sql += \" AND in_stock=?\"; args.append(in_stock)\n87\t if q:\n88\t sql += \" AND (name LIKE ? OR brand LIKE ? OR category_raw LIKE ?)\"\n89\t args += [f\"%{q}%\"] * 3\n90\t total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n91\t sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n92\t args += [limit, offset]\n93\t rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n94\t con.close()"}]},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"e3fcd359-b582-470c-8c75-630f176aa908","timestamp":"2026-08-22T21:43:07.276Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/food-ka/foodka/web.py","content":"app.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\n\n_sync_lock = threading.Lock()\n\n# tris supportés -> clause SQL (liste blanche, jamais d'injection)\n_SORTS = {\n \"price_asc\": \"price IS NULL, price ASC\",\n \"price_desc\": \"price IS NULL, price DESC\",\n \"unit_price\": \"unit_price IS NULL, unit_price ASC\",\n \"discount\": \"(CASE WHEN regular_price IS NOT NULL AND price IS NOT NULL\"\n \" THEN (regular_price - price) / regular_price ELSE 0 END) DESC\",\n \"name\": \"name COLLATE NOCASE ASC\",\n \"recent\": \"first_seen DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"keywords\"] = json.loads(d.get(\"keywords\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n d[\"on_sale\"] = bool(d.get(\"on_sale\"))\n if d.get(\"in_stock\") is not None:\n d[\"in_stock\"] = bool(d[\"in_stock\"])\n return d\n\n\n@app.get(\"/api/products\")\ndef list_products(\n category: str | None = None,\n source: str | None = None,\n brand: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n on_sale: int | None = None, # 1 = en solde seulement\n in_stock: int | None = None, # 1 / 0\n q: str | None = None,\n sort: str = \"price_asc\",\n active: int = 1,\n limit: int = Query(60, le=500),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM products WHERE 1=1\"\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if brand:\n sql += \" AND brand LIKE ?\"; args.append(f\"%{brand}%\")\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 on_sale == 1:\n sql += \" AND on_sale=1\"\n if in_stock in (0, 1):\n sql += \" AND in_stock=?\"; args.append(in_stock)\n if q:\n sql += \" AND (name LIKE ? OR brand LIKE ? OR category_raw LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()","numLines":70,"startLine":25,"totalLines":363}}}}19{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWst82JLjHxmcunRZHg","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019nBgzrnQLHUeLXb8616c49","name":"Read","input":{"file_path":"/Users/simon-pierreboucher/apps/food-ka/frontend/src/pages/Home.tsx","offset":18,"limit":40},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":993,"cache_read_input_tokens":34936,"cache_creation":{"ephemeral_5m_input_tokens":993,"ephemeral_1h_input_tokens":0},"output_tokens":14,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"cbfbb939-e174-4d18-a59e-6506d87041f0"}}20{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_019nBgzrnQLHUeLXb8616c49","type":"tool_result","content":"18\t\n19\tconst PAGE_SIZE = 60;\n20\tconst PRICE_STEPS = [1, 2, 3, 5, 8, 10, 15, 20, 30, 50];\n21\t\n22\tconst SORT_CHOICES: { key: string; label: string }[] = [\n23\t { key: \"price_asc\", label: \"Prix croissant\" },\n24\t { key: \"price_desc\", label: \"Prix décroissant\" },\n25\t { key: \"unit_price\", label: \"Prix unitaire\" },\n26\t { key: \"discount\", label: \"Meilleur rabais\" },\n27\t { key: \"name\", label: \"Nom A→Z\" },\n28\t { key: \"recent\", label: \"Nouveautés\" },\n29\t];\n30\t\n31\texport default function Home({ aubaines = false }: { aubaines?: boolean }) {\n32\t const [products, setProducts] = useState<Product[] | null>(null);\n33\t const [total, setTotal] = useState(0);\n34\t const [offset, setOffset] = useState(0);\n35\t const [loadingMore, setLoadingMore] = useState(false);\n36\t const [facets, setFacets] = useState<Facets | null>(null);\n37\t const [brands, setBrands] = useState<{ brand: string; n: number }[]>([]);\n38\t const [stats, setStats] = useState<Stats | null>(null);\n39\t const [error, setError] = useState<string | null>(null);\n40\t\n41\t // filtres (pré-remplis depuis l'URL, ex. /?category=… — liens de la page Stats)\n42\t const [params] = useSearchParams();\n43\t const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n44\t const [category, setCategory] = useState(params.get(\"category\") ?? \"\");\n45\t const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n46\t const [brand, setBrand] = useState(params.get(\"brand\") ?? \"\");\n47\t const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n48\t const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n49\t const [onSale, setOnSale] = useState(aubaines || params.get(\"on_sale\") === \"1\");\n50\t const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));\n51\t // feuille de filtres mobile (bottom sheet) + panneau avancé desktop\n52\t const [sheetOpen, setSheetOpen] = useState(false);\n53\t const [advOpen, setAdvOpen] = useState(false);\n54\t\n55\t // Bottom-sheet ouvert = verrou du scroll d'arrière-plan + fermeture Escape\n56\t // (même patron que le menu mobile du header — App.tsx)\n57\t useEffect(() => {"}]},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"8f8a0006-8fd4-4e86-89d1-1d98654199cd","timestamp":"2026-08-22T21:43:08.163Z","tool_use_result":{"type":"text","file":{"filePath":"/Users/simon-pierreboucher/apps/food-ka/frontend/src/pages/Home.tsx","content":"\nconst PAGE_SIZE = 60;\nconst PRICE_STEPS = [1, 2, 3, 5, 8, 10, 15, 20, 30, 50];\n\nconst SORT_CHOICES: { key: string; label: string }[] = [\n { key: \"price_asc\", label: \"Prix croissant\" },\n { key: \"price_desc\", label: \"Prix décroissant\" },\n { key: \"unit_price\", label: \"Prix unitaire\" },\n { key: \"discount\", label: \"Meilleur rabais\" },\n { key: \"name\", label: \"Nom A→Z\" },\n { key: \"recent\", label: \"Nouveautés\" },\n];\n\nexport default function Home({ aubaines = false }: { aubaines?: boolean }) {\n const [products, setProducts] = useState<Product[] | null>(null);\n const [total, setTotal] = useState(0);\n const [offset, setOffset] = useState(0);\n const [loadingMore, setLoadingMore] = useState(false);\n const [facets, setFacets] = useState<Facets | null>(null);\n const [brands, setBrands] = useState<{ brand: string; n: number }[]>([]);\n const [stats, setStats] = useState<Stats | null>(null);\n const [error, setError] = useState<string | null>(null);\n\n // filtres (pré-remplis depuis l'URL, ex. /?category=… — liens de la page Stats)\n const [params] = useSearchParams();\n const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n const [category, setCategory] = useState(params.get(\"category\") ?? \"\");\n const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n const [brand, setBrand] = useState(params.get(\"brand\") ?? \"\");\n const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n const [onSale, setOnSale] = useState(aubaines || params.get(\"on_sale\") === \"1\");\n const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));\n // feuille de filtres mobile (bottom sheet) + panneau avancé desktop\n const [sheetOpen, setSheetOpen] = useState(false);\n const [advOpen, setAdvOpen] = useState(false);\n\n // Bottom-sheet ouvert = verrou du scroll d'arrière-plan + fermeture Escape\n // (même patron que le menu mobile du header — App.tsx)\n useEffect(() => {","numLines":40,"startLine":18,"totalLines":419}}}}21{"type":"claude","event":{"type":"system","subtype":"status","status":"requesting","uuid":"fff07ba0-4d5d-4b98-918e-d66b1fca4364","session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88"}}22{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWu7Ad9TbqDvaEDxdmQ","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":2554,"cache_read_input_tokens":35929,"cache_creation":{"ephemeral_5m_input_tokens":2554,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"f3aaeb0d-b93f-484a-a0be-aabca5a1bff0"}}23{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWu7Ad9TbqDvaEDxdmQ","type":"message","role":"assistant","content":[{"type":"text","text":"Il existe déjà un tri « Nouveautés » (`recent` → `first_seen DESC`) ; je change simplement le tri par défaut de `price_asc` à `recent`, côté API et côté frontend."}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2554,"cache_read_input_tokens":35929,"cache_creation":{"ephemeral_5m_input_tokens":2554,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"aa0dfcfe-c514-419c-92b9-5f7c119efe08"}}24{"type":"claude","event":{"type":"assistant","message":{"model":"claude-fable-5","id":"msg_011CeJWu7Ad9TbqDvaEDxdmQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PKPLipuy3CauqLMQmctQxn","name":"Grep","input":{"pattern":"price_asc|recent|ORDER BY","path":"/Users/simon-pierreboucher/apps/food-ka/foodka/seo.py","output_mode":"content","-n":true},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":2554,"cache_read_input_tokens":35929,"cache_creation":{"ephemeral_5m_input_tokens":2554,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard","inference_geo":"global"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"8755aad1-0bd2-4157-b179-35ef8df8086d"}}25{"type":"claude","event":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PKPLipuy3CauqLMQmctQxn","type":"tool_result","content":"153: GROUP BY category ORDER BY n DESC\"\"\")]\n157: GROUP BY source ORDER BY n DESC\"\"\")]\n276: ORDER BY uid LIMIT ? OFFSET ?\"\"\",\n322: rows = con.execute(lsql + \" ORDER BY updated_at DESC LIMIT 30\", args).fetchall()\n396: ORDER BY (regular_price - price) / regular_price DESC LIMIT 30\"\"\").fetchall()"}]},"parent_tool_use_id":null,"session_id":"ce7e9e53-eba4-4a61-a057-0fba2acf6f88","uuid":"7c21e061-4aa9-443e-afc3-8b6b9e86756d","timestamp":"2026-08-22T21:43:17.427Z","tool_use_result":{"mode":"content","numFiles":0,"filenames":[],"content":"153: GROUP BY category ORDER BY n DESC\"\"\")]\n157: GROUP BY source ORDER BY n DESC\"\"\")]\n276: ORDER BY uid LIMIT ? 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OFFSET ?\"","new_string":" sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['recent'])} LIMIT ? 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OR brand LIKE ? OR category_raw LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"products\": rows}\n\n\n@app.get(\"/api/products/{uid}\")\ndef get_product(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM products WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # historique de prix (suivi des soldes)\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 12\",\n (uid,)).fetchall()]\n # le même produit ailleurs : comparaison inter-bannières par nom\n if d[\"name\"]:\n d[\"compare\"] = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT * FROM products WHERE active=1 AND uid<>? AND name LIKE ?\n ORDER BY price IS NULL, price ASC LIMIT 8\"\"\",\n (uid, f\"%{d['name'].split('(')[0].strip()[:40]}%\")).fetchall()]\n else:\n d[\"compare\"] = []\n con.close()\n if d is None:\n raise HTTPException(404, \"Produit introuvable\")\n return d\n\n\n@app.get(\"/api/products/{uid}/compare\")\ndef compare_product(uid: str):\n \"\"\"Le même produit dans les autres bannières (rapprochement exact\n inter-bannières — table product_links, voir foodka/matching.py).\"\"\"\n con = db.connect()\n me = con.execute(\"SELECT * FROM products WHERE uid=?\", (uid,)).fetchone()\n if me is None:\n con.close()\n raise HTTPException(404, \"Produit introuvable\")\n link = con.execute(\n \"SELECT group_id FROM product_links WHERE uid=?\", (uid,)).fetchone()\n matches = []\n if link is not None:\n matches = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT p.* FROM product_links l JOIN products p ON p.uid=l.uid\n WHERE l.group_id=? AND l.uid<>? AND p.active=1\n ORDER BY p.price IS NULL, p.price ASC\"\"\",\n (link[\"group_id\"], uid)).fetchall()]\n con.close()\n prices = [m[\"price\"] for m in matches if m.get(\"price\") is not None]\n me_d = _row_to_dict(me)\n return {\n \"uid\": uid,\n \"group_id\": link[\"group_id\"] if link else None,\n \"product\": me_d,\n \"matches\": matches,\n \"best_price\": min(prices) if prices else None,\n \"is_best_price\": (me_d.get(\"price\") is not None\n and (not prices or me_d[\"price\"] <= min(prices))),\n }\n\n\n@app.get(\"/api/facets\")\ndef facets(category: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\"\"\"\n con = db.connect()\n brand_sql = (\"SELECT brand, COUNT(*) n FROM products\"\n \" WHERE active=1 AND brand<>''\")\n brand_args: list = []\n if category:\n brand_sql += \" AND category=?\"\n brand_args.append(category)\n out = {\n \"categories\": [dict(r) for r in con.execute(\n \"SELECT category, COUNT(*) n FROM products WHERE active=1 AND category<>''\"\n \" GROUP BY category ORDER BY n DESC\")],\n \"brands\": [dict(r) for r in con.execute(\n brand_sql + \" GROUP BY brand ORDER BY n DESC LIMIT 60\", brand_args)],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM products WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n \"on_sale\": con.execute(\n \"SELECT COUNT(*) c FROM products WHERE active=1 AND on_sale=1\"\n ).fetchone()[\"c\"],\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 products WHERE active=1 GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_products\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n SUM(on_sale) on_sale,\n COUNT(DISTINCT source) sources,\n COUNT(DISTINCT category) categories,\n AVG(price) avg_price\n FROM products WHERE active=1\"\"\").fetchone()\n by_source = [dict(r) for r in con.execute(\n \"\"\"SELECT source, COUNT(*) n, SUM(on_sale) sales, AVG(price) avg_price\n FROM products WHERE active=1 GROUP BY source ORDER BY n DESC\"\"\")]\n by_category = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n, AVG(price) avg_price\n FROM products WHERE active=1 AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n # meilleures aubaines du moment (rabais relatif le plus fort)\n deals = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT * FROM products\n WHERE active=1 AND regular_price IS NOT NULL AND price IS NOT NULL\n ORDER BY (regular_price - price) / regular_price DESC LIMIT 24\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # rapprochement inter-bannières + enrichissement nutritionnel (vague 2)\n matching_stats = {\n \"groups\": con.execute(\n \"SELECT COUNT(DISTINCT group_id) c FROM product_links\").fetchone()[\"c\"],\n \"linked_products\": con.execute(\n \"SELECT COUNT(*) c FROM product_links\").fetchone()[\"c\"],\n }\n nutrition_stats = {\n \"off_matched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache WHERE found=1\").fetchone()[\"c\"],\n \"off_searched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache\").fetchone()[\"c\"],\n \"products_with_off\": con.execute(\n \"SELECT COUNT(*) c FROM products WHERE active=1\"\n \" AND details LIKE '%\\\"off\\\"%'\").fetchone()[\"c\"],\n }\n con.close()\n return {**dict(row), \"by_source\": by_source, \"by_category\": by_category,\n \"matching\": matching_stats, \"nutrition\": nutrition_stats,\n \"deals\": deals, \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : foodka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n period: str = \"30j\",\n from_date: str | None = Query(None, alias=\"from\"),\n to_date: str | None = Query(None, alias=\"to\"),\n):\n \"\"\"Tableau de bord analytique — contrat commun ka-ui/stats/SPEC.md.\n\n Périodes : auj|7j|30j|3m|6m|12m|annee|tout, ou plage personnalisée\n from/to (YYYY-MM-DD). Cache serveur : 5 minutes par période.\"\"\"\n from . import statsdash\n return statsdash.dashboard(period, from_date, to_date)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(\n period: str = \"30j\",\n from_date: str | None = Query(None, alias=\"from\"),\n to_date: str | None = Query(None, alias=\"to\"),\n mode: str = \"complet\",\n):\n \"\"\"Rapport PDF estampillé Groupe-KA — mêmes chiffres que /api/stats/dashboard.\n\n 5 modes : complet | synthese | tendances | repartitions | donnees\n (mode inconnu → complet, voir kapdf.REPORT_MODES).\"\"\"\n from . import kapdf, statsdash\n dash = statsdash.dashboard(period, from_date, to_date)\n site = {\n \"wordmark\": \"Food·Ka\",\n \"accent\": \"#1f9d55\",\n \"domain\": \"www.food-ka.com\",\n \"tagline\": \"Épicerie — tout le Québec, toujours à jour\",\n }\n report = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode)\n pdf = report.build()\n fname = kapdf.filename(\"food-ka\", period, report.mode)\n return Response(\n content=pdf,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_pdf():\n \"\"\"Rapport PDF du marché — mêmes chiffres que la page Statistiques.\"\"\"\n from . import pdfgen\n return Response(\n content=pdfgen.rapport_pdf(),\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"foodka-rapport-marche.pdf\"'})\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Favoris ♥ « Mon univers Ka » (magasin central : hub groupe-ka.com) -----\n@app.get(\"/api/favorites\")\ndef favorites(request: Request):\n \"\"\"Favoris du membre connecté, lus au hub Groupe KA (aucun stockage local).\"\"\"\n user = auth.current_user(request)\n if not user:\n raise HTTPException(401, \"Connexion KA ID requise\")\n items = hubfav.hub_list(user.get(\"ka_id\") or \"\")\n if items is None:\n raise HTTPException(502, \"Hub Groupe KA injoignable — réessayez\")\n return {\"ids\": [i[\"item_id\"] for i in items if i.get(\"item_id\")],\n \"items\": items}\n\n\n@app.post(\"/api/favorites/toggle\")\ndef toggle_favorite(request: Request, body: dict = Body(...)):\n \"\"\"Ajoute (on=true) ou retire (on=false) un favori — poussé au hub\n Groupe KA de façon synchrone : le hub est la seule source de vérité.\"\"\"\n user = auth.current_user(request)\n if not user:\n raise HTTPException(401, \"Connexion KA ID requise\")\n ka_id = user.get(\"ka_id\") or \"\"\n if not hubfav.linked(ka_id):\n raise HTTPException(403, \"Compte non relié au hub Groupe KA\")\n on = bool(body.get(\"on\"))\n item = hubfav.clean_item(body.get(\"item\") or {})\n if not item.get(\"item_id\"):\n raise HTTPException(422, \"item.item_id requis\")\n if not hubfav.hub_toggle(ka_id, \"add\" if on else \"remove\", item):\n raise HTTPException(502, \"Hub Groupe KA injoignable — favori non enregistré\")\n return {\"ok\": True, \"on\": on}\n\n\n# --- Connexion KA ID (SSO Groupe KA) — avant le catch-all SPA ---------------\napp.include_router(auth.router)\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # --- SEO : robots, sitemaps, SSR des pages publiques — AVANT le catch-all\n from . import seo # noqa: E402\n app.include_router(seo.router)\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 return FileResponse(FRONTEND_DIST / \"index.html\")\n","structuredPatch":[{"oldStart":60,"oldLines":7,"newStart":60,"newLines":7,"lines":[" on_sale: int | None = None, # 1 = en solde seulement"," in_stock: int | None = None, # 1 / 0"," q: str | None = None,","- sort: str = \"price_asc\",","+ sort: str = \"recent\","," active: int = 1,"," limit: int = Query(60, le=500),"," offset: int = 0,"]}],"userModified":false,"replaceAll":false}}}34{"type":"permission_request","requestId":"66a54041d7fe266e","tool":"Edit","input":{"file_path":"/Users/simon-pierreboucher/apps/food-ka/foodka/web.py","old_string":" sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? 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OFFSET ?\"","originalFile":"# -----------------------------------------------------------------------------\n# Food-Ka — Agrégateur de produits d'épicerie (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, Body, FastAPI, HTTPException, Query, Request\nfrom fastapi.middleware.cors import CORSMiddleware\nfrom fastapi.responses import FileResponse, Response\nfrom fastapi.staticfiles import StaticFiles\n\nfrom . import auth, db, hubfav, ingest\n\nROOT = Path(__file__).resolve().parent.parent\nSOURCES_PATH = ROOT / \"data\" / \"sources.json\"\nFRONTEND_DIST = ROOT / \"frontend\" / \"dist\"\n\napp = FastAPI(title=\"Food-Ka API\", version=\"1.0\",\n description=\"Agrégateur de produits d'épicerie — province de Québec\")\napp.add_middleware(CORSMiddleware, allow_origins=[\"*\"],\n allow_methods=[\"*\"], allow_headers=[\"*\"])\n\n_sync_lock = threading.Lock()\n\n# tris supportés -> clause SQL (liste blanche, jamais d'injection)\n_SORTS = {\n \"price_asc\": \"price IS NULL, price ASC\",\n \"price_desc\": \"price IS NULL, price DESC\",\n \"unit_price\": \"unit_price IS NULL, unit_price ASC\",\n \"discount\": \"(CASE WHEN regular_price IS NOT NULL AND price IS NOT NULL\"\n \" THEN (regular_price - price) / regular_price ELSE 0 END) DESC\",\n \"name\": \"name COLLATE NOCASE ASC\",\n \"recent\": \"first_seen DESC\",\n}\n\n\ndef _row_to_dict(row) -> dict:\n d = dict(row)\n d[\"keywords\"] = json.loads(d.get(\"keywords\") or \"[]\")\n d[\"images\"] = json.loads(d.get(\"images\") or \"[]\")\n d[\"details\"] = json.loads(d.get(\"details\") or \"{}\")\n d[\"on_sale\"] = bool(d.get(\"on_sale\"))\n if d.get(\"in_stock\") is not None:\n d[\"in_stock\"] = bool(d[\"in_stock\"])\n return d\n\n\n@app.get(\"/api/products\")\ndef list_products(\n category: str | None = None,\n source: str | None = None,\n brand: str | None = None,\n price_max: float | None = None,\n price_min: float | None = None,\n on_sale: int | None = None, # 1 = en solde seulement\n in_stock: int | None = None, # 1 / 0\n q: str | None = None,\n sort: str = \"recent\",\n active: int = 1,\n limit: int = Query(60, le=500),\n offset: int = 0,\n):\n con = db.connect()\n sql = \"SELECT * FROM products WHERE 1=1\"\n args: list = []\n if active in (0, 1):\n sql += \" AND active=?\"; args.append(active)\n if category:\n sql += \" AND category=?\"; args.append(category)\n if source:\n sql += \" AND source=?\"; args.append(source)\n if brand:\n sql += \" AND brand LIKE ?\"; args.append(f\"%{brand}%\")\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 on_sale == 1:\n sql += \" AND on_sale=1\"\n if in_stock in (0, 1):\n sql += \" AND in_stock=?\"; args.append(in_stock)\n if q:\n sql += \" AND (name LIKE ? OR brand LIKE ? OR category_raw LIKE ?)\"\n args += [f\"%{q}%\"] * 3\n total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]\n sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"\n args += [limit, offset]\n rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]\n con.close()\n return {\"total\": total, \"count\": len(rows), \"products\": rows}\n\n\n@app.get(\"/api/products/{uid}\")\ndef get_product(uid: str):\n con = db.connect()\n row = con.execute(\"SELECT * FROM products WHERE uid=?\", (uid,)).fetchone()\n d = None\n if row is not None:\n d = _row_to_dict(row)\n # historique de prix (suivi des soldes)\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 12\",\n (uid,)).fetchall()]\n # le même produit ailleurs : comparaison inter-bannières par nom\n if d[\"name\"]:\n d[\"compare\"] = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT * FROM products WHERE active=1 AND uid<>? AND name LIKE ?\n ORDER BY price IS NULL, price ASC LIMIT 8\"\"\",\n (uid, f\"%{d['name'].split('(')[0].strip()[:40]}%\")).fetchall()]\n else:\n d[\"compare\"] = []\n con.close()\n if d is None:\n raise HTTPException(404, \"Produit introuvable\")\n return d\n\n\n@app.get(\"/api/products/{uid}/compare\")\ndef compare_product(uid: str):\n \"\"\"Le même produit dans les autres bannières (rapprochement exact\n inter-bannières — table product_links, voir foodka/matching.py).\"\"\"\n con = db.connect()\n me = con.execute(\"SELECT * FROM products WHERE uid=?\", (uid,)).fetchone()\n if me is None:\n con.close()\n raise HTTPException(404, \"Produit introuvable\")\n link = con.execute(\n \"SELECT group_id FROM product_links WHERE uid=?\", (uid,)).fetchone()\n matches = []\n if link is not None:\n matches = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT p.* FROM product_links l JOIN products p ON p.uid=l.uid\n WHERE l.group_id=? AND l.uid<>? AND p.active=1\n ORDER BY p.price IS NULL, p.price ASC\"\"\",\n (link[\"group_id\"], uid)).fetchall()]\n con.close()\n prices = [m[\"price\"] for m in matches if m.get(\"price\") is not None]\n me_d = _row_to_dict(me)\n return {\n \"uid\": uid,\n \"group_id\": link[\"group_id\"] if link else None,\n \"product\": me_d,\n \"matches\": matches,\n \"best_price\": min(prices) if prices else None,\n \"is_best_price\": (me_d.get(\"price\") is not None\n and (not prices or me_d[\"price\"] <= min(prices))),\n }\n\n\n@app.get(\"/api/facets\")\ndef facets(category: str | None = None):\n \"\"\"Valeurs distinctes pour construire les filtres du frontend.\"\"\"\n con = db.connect()\n brand_sql = (\"SELECT brand, COUNT(*) n FROM products\"\n \" WHERE active=1 AND brand<>''\")\n brand_args: list = []\n if category:\n brand_sql += \" AND category=?\"\n brand_args.append(category)\n out = {\n \"categories\": [dict(r) for r in con.execute(\n \"SELECT category, COUNT(*) n FROM products WHERE active=1 AND category<>''\"\n \" GROUP BY category ORDER BY n DESC\")],\n \"brands\": [dict(r) for r in con.execute(\n brand_sql + \" GROUP BY brand ORDER BY n DESC LIMIT 60\", brand_args)],\n \"sources\": [dict(r) for r in con.execute(\n \"SELECT source, COUNT(*) n FROM products WHERE active=1\"\n \" GROUP BY source ORDER BY n DESC\")],\n \"on_sale\": con.execute(\n \"SELECT COUNT(*) c FROM products WHERE active=1 AND on_sale=1\"\n ).fetchone()[\"c\"],\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 products WHERE active=1 GROUP BY source\")}\n last = {r[\"source\"]: r[\"ts\"] for r in con.execute(\n \"SELECT source, MAX(ts) ts FROM sync_log WHERE ok=1 GROUP BY source\")}\n con.close()\n for s in registry:\n s[\"active_products\"] = counts.get(s[\"id\"], 0)\n s[\"last_sync\"] = last.get(s[\"id\"])\n return {\"sources\": registry}\n\n\n@app.get(\"/api/stats\")\ndef stats():\n con = db.connect()\n row = con.execute(\n \"\"\"SELECT COUNT(*) total,\n SUM(on_sale) on_sale,\n COUNT(DISTINCT source) sources,\n COUNT(DISTINCT category) categories,\n AVG(price) avg_price\n FROM products WHERE active=1\"\"\").fetchone()\n by_source = [dict(r) for r in con.execute(\n \"\"\"SELECT source, COUNT(*) n, SUM(on_sale) sales, AVG(price) avg_price\n FROM products WHERE active=1 GROUP BY source ORDER BY n DESC\"\"\")]\n by_category = [dict(r) for r in con.execute(\n \"\"\"SELECT category, COUNT(*) n, AVG(price) avg_price\n FROM products WHERE active=1 AND category<>''\n GROUP BY category ORDER BY n DESC\"\"\")]\n # meilleures aubaines du moment (rabais relatif le plus fort)\n deals = [_row_to_dict(r) for r in con.execute(\n \"\"\"SELECT * FROM products\n WHERE active=1 AND regular_price IS NOT NULL AND price IS NOT NULL\n ORDER BY (regular_price - price) / regular_price DESC LIMIT 24\"\"\")]\n log = [dict(r) for r in con.execute(\n \"SELECT * FROM sync_log ORDER BY ts DESC LIMIT 20\")]\n # rapprochement inter-bannières + enrichissement nutritionnel (vague 2)\n matching_stats = {\n \"groups\": con.execute(\n \"SELECT COUNT(DISTINCT group_id) c FROM product_links\").fetchone()[\"c\"],\n \"linked_products\": con.execute(\n \"SELECT COUNT(*) c FROM product_links\").fetchone()[\"c\"],\n }\n nutrition_stats = {\n \"off_matched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache WHERE found=1\").fetchone()[\"c\"],\n \"off_searched\": con.execute(\n \"SELECT COUNT(*) c FROM off_cache\").fetchone()[\"c\"],\n \"products_with_off\": con.execute(\n \"SELECT COUNT(*) c FROM products WHERE active=1\"\n \" AND details LIKE '%\\\"off\\\"%'\").fetchone()[\"c\"],\n }\n con.close()\n return {**dict(row), \"by_source\": by_source, \"by_category\": by_category,\n \"matching\": matching_stats, \"nutrition\": nutrition_stats,\n \"deals\": deals, \"recent_syncs\": log}\n\n\n@app.get(\"/api/stats/detailed\")\ndef stats_detailed():\n \"\"\"Agrégats du marché (source unique : foodka/marketstats.py).\"\"\"\n from . import marketstats\n return marketstats.compute()\n\n\n@app.get(\"/api/stats/dashboard\")\ndef stats_dashboard(\n period: str = \"30j\",\n from_date: str | None = Query(None, alias=\"from\"),\n to_date: str | None = Query(None, alias=\"to\"),\n):\n \"\"\"Tableau de bord analytique — contrat commun ka-ui/stats/SPEC.md.\n\n Périodes : auj|7j|30j|3m|6m|12m|annee|tout, ou plage personnalisée\n from/to (YYYY-MM-DD). Cache serveur : 5 minutes par période.\"\"\"\n from . import statsdash\n return statsdash.dashboard(period, from_date, to_date)\n\n\n@app.get(\"/api/stats/report\")\ndef stats_report(\n period: str = \"30j\",\n from_date: str | None = Query(None, alias=\"from\"),\n to_date: str | None = Query(None, alias=\"to\"),\n mode: str = \"complet\",\n):\n \"\"\"Rapport PDF estampillé Groupe-KA — mêmes chiffres que /api/stats/dashboard.\n\n 5 modes : complet | synthese | tendances | repartitions | donnees\n (mode inconnu → complet, voir kapdf.REPORT_MODES).\"\"\"\n from . import kapdf, statsdash\n dash = statsdash.dashboard(period, from_date, to_date)\n site = {\n \"wordmark\": \"Food·Ka\",\n \"accent\": \"#1f9d55\",\n \"domain\": \"www.food-ka.com\",\n \"tagline\": \"Épicerie — tout le Québec, toujours à jour\",\n }\n report = kapdf.GroupeKAReport(site=site, dashboard=dash, mode=mode)\n pdf = report.build()\n fname = kapdf.filename(\"food-ka\", period, report.mode)\n return Response(\n content=pdf,\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\": f'attachment; filename=\"{fname}\"'})\n\n\n@app.get(\"/api/stats/rapport.pdf\")\ndef rapport_pdf():\n \"\"\"Rapport PDF du marché — mêmes chiffres que la page Statistiques.\"\"\"\n from . import pdfgen\n return Response(\n content=pdfgen.rapport_pdf(),\n media_type=\"application/pdf\",\n headers={\"Content-Disposition\":\n 'attachment; filename=\"foodka-rapport-marche.pdf\"'})\n\n\n@app.post(\"/api/sync\")\ndef trigger_sync(background: BackgroundTasks, source: str | None = None):\n \"\"\"Déclenche une synchronisation (équivalent d'un webhook entrant).\"\"\"\n def _job():\n with _sync_lock:\n ingest.run([source] if source else None)\n background.add_task(_job)\n return {\"status\": \"démarré\", \"source\": source or \"toutes\"}\n\n\n# --- Favoris ♥ « Mon univers Ka » (magasin central : hub groupe-ka.com) -----\n@app.get(\"/api/favorites\")\ndef favorites(request: Request):\n \"\"\"Favoris du membre connecté, lus au hub Groupe KA (aucun stockage local).\"\"\"\n user = auth.current_user(request)\n if not user:\n raise HTTPException(401, \"Connexion KA ID requise\")\n items = hubfav.hub_list(user.get(\"ka_id\") or \"\")\n if items is None:\n raise HTTPException(502, \"Hub Groupe KA injoignable — réessayez\")\n return {\"ids\": [i[\"item_id\"] for i in items if i.get(\"item_id\")],\n \"items\": items}\n\n\n@app.post(\"/api/favorites/toggle\")\ndef toggle_favorite(request: Request, body: dict = Body(...)):\n \"\"\"Ajoute (on=true) ou retire (on=false) un favori — poussé au hub\n Groupe KA de façon synchrone : le hub est la seule source de vérité.\"\"\"\n user = auth.current_user(request)\n if not user:\n raise HTTPException(401, \"Connexion KA ID requise\")\n ka_id = user.get(\"ka_id\") or \"\"\n if not hubfav.linked(ka_id):\n raise HTTPException(403, \"Compte non relié au hub Groupe KA\")\n on = bool(body.get(\"on\"))\n item = hubfav.clean_item(body.get(\"item\") or {})\n if not item.get(\"item_id\"):\n raise HTTPException(422, \"item.item_id requis\")\n if not hubfav.hub_toggle(ka_id, \"add\" if on else \"remove\", item):\n raise HTTPException(502, \"Hub Groupe KA injoignable — favori non enregistré\")\n return {\"ok\": True, \"on\": on}\n\n\n# --- Connexion KA ID (SSO Groupe KA) — avant le catch-all SPA ---------------\napp.include_router(auth.router)\n\n# --- Frontend React (build Vite) --------------------------------------------\nif FRONTEND_DIST.exists():\n app.mount(\"/assets\", StaticFiles(directory=FRONTEND_DIST / \"assets\"), name=\"assets\")\n\n # --- SEO : robots, sitemaps, SSR des pages publiques — AVANT le catch-all\n from . import seo # noqa: E402\n app.include_router(seo.router)\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 return FileResponse(FRONTEND_DIST / \"index.html\")\n","structuredPatch":[{"oldStart":88,"oldLines":7,"newStart":88,"newLines":7,"lines":[" sql += \" AND (name LIKE ? OR brand LIKE ? OR category_raw LIKE ?)\""," args += [f\"%{q}%\"] * 3"," total = con.execute(f\"SELECT COUNT(*) c FROM ({sql})\", args).fetchone()[\"c\"]","- sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['price_asc'])} LIMIT ? OFFSET ?\"","+ sql += f\" ORDER BY {_SORTS.get(sort, _SORTS['recent'])} LIMIT ? OFFSET ?\""," args += [limit, offset]"," rows = [_row_to_dict(r) for r in con.execute(sql, args).fetchall()]"," con.close()"]}],"userModified":false,"replaceAll":false}}}37{"type":"permission_request","requestId":"038bbaa4772d49cc","tool":"Edit","input":{"file_path":"/Users/simon-pierreboucher/apps/food-ka/frontend/src/pages/Home.tsx","old_string":" const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));","new_string":" const [sort, setSort] = useState(params.get(\"sort\") ?? 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(aubaines ? \"discount\" : \"recent\"));","originalFile":"// -----------------------------------------------------------------------------\n// Food-Ka — Agrégateur de produits d'épicerie (province de Québec)\n// Auteur : Simon-Pierre Boucher — contact@spboucher.ai\n// pages/Home.tsx : accueil — héro, statistiques, filtres, grille de produits\n// Filtres : recherche, catégorie, bannière, marque, prix min/max, en solde,\n// tri — avec pastilles de filtres actifs et pagination « Charger plus ».\n// La même page sert la vue « Aubaines » (/aubaines), pré-filtrée en solde.\n// -----------------------------------------------------------------------------\nimport { useEffect, useMemo, useState } from \"react\";\nimport { useSearchParams } from \"react-router-dom\";\nimport {\n Facets, Product, ProductFilters, Stats,\n fetchFacets, fetchProducts, fetchSources, fetchStats, fmtPrice,\n registerSourceNames, sourceName,\n} from \"../api\";\nimport ProductCard from \"../components/ProductCard\";\nimport SourceLogo from \"../components/SourceLogo\";\n\nconst PAGE_SIZE = 60;\nconst PRICE_STEPS = [1, 2, 3, 5, 8, 10, 15, 20, 30, 50];\n\nconst SORT_CHOICES: { key: string; label: string }[] = [\n { key: \"price_asc\", label: \"Prix croissant\" },\n { key: \"price_desc\", label: \"Prix décroissant\" },\n { key: \"unit_price\", label: \"Prix unitaire\" },\n { key: \"discount\", label: \"Meilleur rabais\" },\n { key: \"name\", label: \"Nom A→Z\" },\n { key: \"recent\", label: \"Nouveautés\" },\n];\n\nexport default function Home({ aubaines = false }: { aubaines?: boolean }) {\n const [products, setProducts] = useState<Product[] | null>(null);\n const [total, setTotal] = useState(0);\n const [offset, setOffset] = useState(0);\n const [loadingMore, setLoadingMore] = useState(false);\n const [facets, setFacets] = useState<Facets | null>(null);\n const [brands, setBrands] = useState<{ brand: string; n: number }[]>([]);\n const [stats, setStats] = useState<Stats | null>(null);\n const [error, setError] = useState<string | null>(null);\n\n // filtres (pré-remplis depuis l'URL, ex. /?category=… — liens de la page Stats)\n const [params] = useSearchParams();\n const [q, setQ] = useState(params.get(\"q\") ?? \"\");\n const [category, setCategory] = useState(params.get(\"category\") ?? \"\");\n const [source, setSource] = useState(params.get(\"source\") ?? \"\");\n const [brand, setBrand] = useState(params.get(\"brand\") ?? \"\");\n const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");\n const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");\n const [onSale, setOnSale] = useState(aubaines || params.get(\"on_sale\") === \"1\");\n const [sort, setSort] = useState(params.get(\"sort\") ?? (aubaines ? \"discount\" : \"price_asc\"));\n // feuille de filtres mobile (bottom sheet) + panneau avancé desktop\n const [sheetOpen, setSheetOpen] = useState(false);\n const [advOpen, setAdvOpen] = useState(false);\n\n // Bottom-sheet ouvert = verrou du scroll d'arrière-plan + fermeture Escape\n // (même patron que le menu mobile du header — App.tsx)\n useEffect(() => {\n if (!sheetOpen) return;\n document.documentElement.classList.add(\"ka-scroll-lock\");\n const onKey = (e: KeyboardEvent) => { if (e.key === \"Escape\") setSheetOpen(false); };\n window.addEventListener(\"keydown\", onKey);\n return () => {\n document.documentElement.classList.remove(\"ka-scroll-lock\");\n window.removeEventListener(\"keydown\", onKey);\n };\n }, [sheetOpen]);\n const saleForced = aubaines; // la page Aubaines impose « en solde »\n const activeFilters = [q, category, source, brand, priceMin, priceMax,\n !saleForced && onSale ? \"1\" : \"\"].filter(Boolean).length;\n const advCount = [brand, source].filter(Boolean).length;\n\n useEffect(() => {\n // /aubaines : force le filtre solde (et un tri utile par défaut)\n setOnSale(aubaines || params.get(\"on_sale\") === \"1\");\n }, [aubaines, params]);\n\n const filters: ProductFilters = useMemo(() => ({\n q, category, source, brand,\n price_min: priceMin, price_max: priceMax,\n on_sale: onSale ? \"1\" : \"\",\n sort, limit: String(PAGE_SIZE),\n }), [q, category, source, brand, priceMin, priceMax, onSale, sort]);\n\n useEffect(() => {\n fetchSources().then((r) => registerSourceNames(r.sources)).catch(() => {});\n fetchFacets().then(setFacets).catch(() => {});\n fetchStats().then(setStats).catch(() => {});\n }, []);\n\n // marques dépendantes de la catégorie choisie\n useEffect(() => {\n fetchFacets(category || undefined)\n .then((f) => setBrands(f.brands))\n .catch(() => setBrands([]));\n }, [category]);\n\n useEffect(() => {\n let cancelled = false;\n setProducts(null);\n setOffset(0);\n setError(null);\n fetchProducts(filters)\n .then((r) => {\n if (!cancelled) {\n setProducts(r.products);\n setTotal(r.total);\n }\n })\n .catch((e) => !cancelled && setError(String(e)));\n return () => {\n cancelled = true;\n };\n }, [filters]);\n\n const loadMore = () => {\n const next = offset + PAGE_SIZE;\n setLoadingMore(true);\n fetchProducts({ ...filters, offset: String(next) })\n .then((r) => {\n setProducts((prev) => [...(prev ?? []), ...r.products]);\n setTotal(r.total);\n setOffset(next);\n })\n .catch((e) => setError(String(e)))\n .finally(() => setLoadingMore(false));\n };\n\n const resetAll = () => {\n setQ(\"\"); setCategory(\"\"); setSource(\"\"); setBrand(\"\");\n setPriceMin(\"\"); setPriceMax(\"\");\n if (!saleForced) setOnSale(false);\n };\n\n // pastilles « filtres actifs » — libellé + action de retrait (+ logo bannière)\n const pills: { label: string; clear: () => void; logo?: string }[] = [];\n if (q) pills.push({ label: `« ${q} »`, clear: () => setQ(\"\") });\n if (category) pills.push({ label: category, clear: () => { setCategory(\"\"); setBrand(\"\"); } });\n if (brand) pills.push({ label: brand, clear: () => setBrand(\"\") });\n if (priceMin) pills.push({ label: `≥ ${priceMin} $`, clear: () => setPriceMin(\"\") });\n if (priceMax) pills.push({ label: `≤ ${priceMax} $`, clear: () => setPriceMax(\"\") });\n if (onSale && !saleForced) pills.push({ label: \"En solde\", clear: () => setOnSale(false) });\n if (source) pills.push({ label: sourceName(source), clear: () => setSource(\"\"), logo: source });\n\n const shown = products?.length ?? 0;\n\n return (\n <div className=\"container\">\n <section className=\"hero\">\n <span className={`kicker ${aubaines ? \"kicker-sale\" : \"\"}`}>\n {aubaines ? \"Aubaines — les meilleurs rabais du moment\" : \"Agrégateur — épicerie du Québec\"}\n </span>\n {aubaines ? (\n <h1>\n Les <span className=\"hl hl-tomato\">aubaines</span> de toutes<br />\n les <span className=\"outline\">circulaires</span>.\n </h1>\n ) : (\n <h1>\n Tous les prix <span className=\"outline\">d'épicerie</span><br />\n du Québec. <span className=\"hl\">Un seul</span> endroit.\n </h1>\n )}\n <p className=\"lede\">\n {aubaines\n ? \"Food·Ka repère les produits en solde chez toutes les bannières d'épicerie du Québec et les classe par rabais — comparez avant de remplir le panier.\"\n : \"Food·Ka rassemble les produits affichés par les bannières d'épicerie du Québec — Metro, IGA, Maxi, Super C, Provigo et plus — mis à jour automatiquement, avec prix unitaires et lien direct vers la fiche originale.\"}\n </p>\n <div className=\"stat-row\">\n <span className=\"stat-chip\"><span className=\"pulse\" /> Données synchronisées en continu</span>\n {stats && (\n <>\n <span className=\"stat-chip\"><b>{stats.total}</b> produits suivis</span>\n <span className=\"stat-chip\"><b>{stats.sources}</b> bannières</span>\n <span className=\"stat-chip\"><b>{stats.on_sale}</b> soldes actifs</span>\n {stats.avg_price != null && (\n <span className=\"stat-chip\">\n prix moyen <b>{fmtPrice(stats.avg_price)}</b>\n </span>\n )}\n </>\n )}\n </div>\n </section>\n\n {sheetOpen && (\n <div className=\"sheet-backdrop\" onClick={() => setSheetOpen(false)} aria-hidden=\"true\" />\n )}\n <section className={`filterbar ${sheetOpen ? \"open\" : \"\"}`} aria-label=\"Filtres\">\n <div className=\"sheet-head\">\n <span>Filtres</span>\n <button className=\"sheet-close\" onClick={() => setSheetOpen(false)} aria-label=\"Fermer les filtres\">\n ✕\n </button>\n </div>\n\n {/* — rangée principale : recherche, catégorie, prix, tri, + filtres — */}\n <div className=\"f-primary\">\n <div className=\"f-search\">\n <svg width=\"15\" height=\"15\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" strokeWidth=\"2.4\" aria-hidden=\"true\">\n <circle cx=\"11\" cy=\"11\" r=\"7\" /><path d=\"m20 20-3.5-3.5\" />\n </svg>\n <input\n id=\"f-q\" placeholder=\"Produit, marque, rayon…\" value={q}\n onChange={(e) => setQ(e.target.value)}\n aria-label=\"Recherche\"\n />\n {q && (\n <button className=\"f-clear\" onClick={() => setQ(\"\")} aria-label=\"Effacer la recherche\">✕</button>\n )}\n </div>\n <label className=\"f-ctl\">\n <span>Catégorie</span>\n <select value={category} onChange={(e) => { setCategory(e.target.value); setBrand(\"\"); }}>\n <option value=\"\">Toutes</option>\n {(facets?.categories ?? []).map((c) => (\n <option key={c.category} value={c.category}>{c.category}</option>\n ))}\n </select>\n </label>\n <div className=\"f-ctl\">\n <span>Prix</span>\n <div className=\"range-pair\">\n <select aria-label=\"Prix minimum\" value={priceMin}\n onChange={(e) => setPriceMin(e.target.value)}>\n <option value=\"\">Min</option>\n {PRICE_STEPS.map((p) => (\n <option key={p} value={p} disabled={!!priceMax && p >= Number(priceMax)}>\n {p} $\n </option>\n ))}\n </select>\n <span className=\"range-sep\">—</span>\n <select aria-label=\"Prix maximum\" value={priceMax}\n onChange={(e) => setPriceMax(e.target.value)}>\n <option value=\"\">Max</option>\n {PRICE_STEPS.map((p) => (\n <option key={p} value={p} disabled={!!priceMin && p <= Number(priceMin)}>\n {p} $\n </option>\n ))}\n </select>\n </div>\n </div>\n <label className=\"f-ctl\">\n <span>Trier par</span>\n <select value={sort} onChange={(e) => setSort(e.target.value)}>\n {SORT_CHOICES.map((s) => (\n <option key={s.key} value={s.key}>{s.label}</option>\n ))}\n </select>\n </label>\n <button\n className={`f-more ${advOpen || advCount > 0 ? \"on\" : \"\"}`}\n onClick={() => setAdvOpen(!advOpen)}\n aria-expanded={advOpen}\n >\n Plus de filtres{advCount > 0 ? ` · ${advCount}` : \"\"} {advOpen ? \"▴\" : \"▾\"}\n </button>\n </div>\n\n {/* — panneau avancé : bannière, marque, solde — */}\n {(advOpen || sheetOpen) && (\n <div className=\"f-adv\">\n <div className=\"f-group\">\n <label>Bannière</label>\n <select className=\"f-native\" value={source} onChange={(e) => setSource(e.target.value)}>\n <option value=\"\">Toutes</option>\n {(facets?.sources ?? []).map((s) => (\n <option key={s.source} value={s.source}>\n {sourceName(s.source)} ({s.n})\n </option>\n ))}\n </select>\n </div>\n <div className=\"f-group\">\n <label>Marque</label>\n <select className=\"f-native\" value={brand} onChange={(e) => setBrand(e.target.value)}>\n <option value=\"\">Toutes</option>\n {brands.map((b) => (\n <option key={b.brand} value={b.brand}>\n {b.brand} ({b.n})\n </option>\n ))}\n </select>\n </div>\n {!saleForced && (\n <div className=\"f-group\">\n <label>Soldes</label>\n <div className=\"seg\" role=\"group\">\n <button className={!onSale ? \"on\" : \"\"} onClick={() => setOnSale(false)}>\n Tous les produits\n </button>\n <button className={onSale ? \"on\" : \"\"} onClick={() => setOnSale(true)}>\n 🔥 En solde{facets ? ` (${facets.on_sale})` : \"\"}\n </button>\n </div>\n </div>\n )}\n <div className=\"f-group f-group-end\">\n <button className=\"btn btn-ghost\" onClick={resetAll} disabled={activeFilters === 0}>\n Tout réinitialiser{activeFilters > 0 ? ` (${activeFilters})` : \"\"}\n </button>\n </div>\n </div>\n )}\n\n <button className=\"btn btn-primary sheet-apply\" onClick={() => setSheetOpen(false)}>\n Voir les résultats {products ? `(${total})` : \"\"}\n </button>\n </section>\n\n <div className=\"chips\" role=\"group\" aria-label=\"Filtres rapides\">\n {(facets?.categories ?? []).slice(0, 8).map((c) => (\n <button\n key={c.category}\n className={`chip ${category === c.category ? \"on\" : \"\"}`}\n onClick={() => { setCategory(category === c.category ? \"\" : c.category); setBrand(\"\"); }}\n >\n {c.category}\n </button>\n ))}\n {!saleForced && (\n <>\n <span className=\"chip-sep\" aria-hidden=\"true\" />\n <button\n className={`chip ${onSale ? \"on\" : \"\"}`}\n onClick={() => setOnSale(!onSale)}\n >\n 🔥 En solde\n </button>\n </>\n )}\n </div>\n\n {pills.length > 0 && (\n <div className=\"pills\" aria-label=\"Filtres actifs\">\n {pills.map((p) => (\n <button key={p.label} className=\"pill\" onClick={p.clear}\n aria-label={`Retirer le filtre ${p.label}`}>\n {p.logo && <SourceLogo source={p.logo} size={18} fallback=\"hide\" />}\n {p.label} <span className=\"pill-x\">✕</span>\n </button>\n ))}\n <button className=\"pill pill-clear\" onClick={resetAll}>\n Tout effacer\n </button>\n </div>\n )}\n\n <div className=\"results-head\">\n <h2>{aubaines ? \"Aubaines en cours\" : \"Produits\"}</h2>\n {products && <span>{total} résultat{total > 1 ? \"s\" : \"\"}</span>}\n </div>\n\n {error && (\n <div className=\"notice\">\n <div className=\"big\">⚠️</div>\n <h2>Impossible de charger les produits</h2>\n <p>{error}</p>\n <button className=\"btn btn-primary\" onClick={() => window.location.reload()}>\n Réessayer\n </button>\n </div>\n )}\n\n {!error && products === null && (\n <div className=\"grid\" aria-busy=\"true\">\n {Array.from({ length: 8 }).map((_, i) => (\n <div className=\"skel\" key={i}>\n <div className=\"sk-img\" />\n <div className=\"sk-line\" />\n <div className=\"sk-line short\" />\n </div>\n ))}\n </div>\n )}\n\n {!error && products !== null && products.length === 0 && (\n <div className=\"notice\">\n <div className=\"big\">🔍</div>\n <h2>Aucun produit ne correspond</h2>\n <p>\n Essayez d'élargir vos critères\n {activeFilters > 0 && (\n <> — ou <button className=\"link-btn\" onClick={resetAll}>retirez les {activeFilters} filtres actifs</button></>\n )}.\n </p>\n </div>\n )}\n\n {!error && products !== null && products.length > 0 && (\n <>\n <div className=\"grid\">\n {products.map((p) => (\n <ProductCard key={p.uid} p={p} />\n ))}\n </div>\n {shown < total && (\n <div className=\"load-more\">\n <button className=\"btn btn-primary\" onClick={loadMore} disabled={loadingMore}>\n {loadingMore ? \"Chargement…\" : `Charger plus (${shown} / ${total})`}\n </button>\n </div>\n )}\n </>\n )}\n\n {/* Bouton flottant mobile — ouvre la feuille de filtres */}\n <button\n className=\"fab\"\n onClick={() => setSheetOpen(true)}\n aria-label=\"Ouvrir les filtres\"\n >\n ⚙ Filtres{activeFilters > 0 ? ` · ${activeFilters}` : \"\"}\n </button>\n </div>\n );\n}\n","structuredPatch":[{"oldStart":47,"oldLines":7,"newStart":47,"newLines":7,"lines":[" const [priceMin, setPriceMin] = useState(params.get(\"price_min\") ?? \"\");"," const [priceMax, setPriceMax] = useState(params.get(\"price_max\") ?? \"\");"," const [onSale, setOnSale] = useState(aubaines || params.get(\"on_sale\") === \"1\");","- const [sort, setSort] = useState(params.get(\"sort\") ?? 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