Fat Loss

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_162":163,"_164":165},"routes/_app.x.$handle.$name",{"_99":98,"_32":44,"_108":89,"_27":53,"_13":14,"_109":-5,"_11":110,"_111":112,"_113":114,"_115":116,"_117":118,"_20":-5,"_119":-5,"_120":-5,"_121":48,"_122":123,"_124":48,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_42":43,"_32":44,"_37":45,"_46":-5,"_47":48,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":25,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":48},"version",52,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":36,"_37":38,"_39":14,"_40":41,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",true,"deletedHere","path","backup_v2.ts","latestPath","fileId","2fd16b0e-8440-11f1-afdd-1607ee4eb77e","name","fileType","http","content","// ─── Fat Loss Tracker v2 ───\n// Free-text food logging (European data: Ciqual/CoFID-derived table + Open Food Facts fallback),\n// full macros (kcal/protein/carbs/fat/fibre/sugar), water, weight, presets, and a Stats dashboard.\n// Env vars: NOTION_TOKEN, LOG_KEY. No other keys needed.\n\nconst DB_ID = \"32e633c22e9c4f4999f826891ee45d5a\";\nconst TZ = \"Europe/Zurich\";\nconst NOTION = \"https://api.notion.com/v1\";\n\n// ---------- Food composition table (per 100 g: kcal, protein, carbs, fat, fibre, sugar) ----------\n// Values derived from European composition tables (ANSES Ciqual / UK CoFID). piece = grams per piece.\ntype Food = { a: string[]; v: [number,number,number,number,number,number]; piece?: number };\nconst FOODS: Food[] = [\n { a:[\"rice cooked\",\"cooked rice\",\"rice\"], v:[130,2.4,28,0.2,0.8,0.1] },\n { a:[\"rice raw\",\"rice uncooked\",\"basmati raw\"], v:[355,7,78,0.6,1.4,0.1] },\n { a:[\"atta\",\"wheat flour\",\"whole wheat flour\"], v:[340,12,68,1.8,10,0.4] },\n { a:[\"roti\",\"chapati\",\"phulka\"], v:[264,7.5,45,6.2,6.8,0.5], piece:40 },\n { a:[\"bread\",\"bread slice\",\"toast\"], v:[265,9,47,3.2,3.7,4.7], piece:25 },\n { a:[\"oats\",\"oatmeal\"], v:[375,13,58,7,10,1] },\n { a:[\"poha raw\",\"poha\"], v:[350,7,77,1,2,0.5] },\n { a:[\"semolina\",\"rava\",\"sooji\",\"suji\"], v:[360,12,72,1,3.5,0.2] },\n { a:[\"idli\"], v:[140,4,28,1,1.5,0.3], piece:40 },\n { a:[\"dosa plain\",\"dosa\"], v:[168,4,29,4,1.5,0.5], piece:80 },\n { a:[\"potato\",\"aloo\"], v:[80,1.8,17,0.1,1.8,0.7] },\n { a:[\"sweet potato\"], v:[86,1.6,20,0.1,3,4.2] },\n { a:[\"dal cooked\",\"dal\",\"lentils cooked\"], v:[115,7.5,19,0.5,4,0.5] },\n { a:[\"dal raw\",\"lentils raw\",\"toor dal raw\",\"moong dal raw\",\"masoor raw\"], v:[340,24,52,1.5,11,1.5] },\n { a:[\"chickpeas cooked\",\"chana cooked\",\"chole\"], v:[164,8.9,24,2.6,7.6,1.5] },\n { a:[\"chickpeas raw\",\"chana raw\"], v:[360,19,55,6,12,3] },\n { a:[\"rajma cooked\",\"kidney beans cooked\",\"rajma\"], v:[127,8.7,22,0.5,6.4,0.3] },\n { a:[\"besan\",\"gram flour\"], v:[387,22,58,7,11,10] },\n { a:[\"chicken breast\",\"chicken breast cooked\"], v:[165,31,0,3.6,0,0] },\n { a:[\"chicken breast raw\"], v:[110,23,0,1.5,0,0] },\n { a:[\"chicken thigh\",\"chicken curry cut\",\"chicken\"], v:[210,26,0,11,0,0] },\n { a:[\"egg\",\"eggs\",\"anda\"], v:[143,12.6,0.7,9.5,0,0.4], piece:50 },\n { a:[\"egg white\",\"egg whites\"], v:[52,11,0.7,0.2,0,0.7], piece:33 },\n { a:[\"fish\",\"rohu\",\"tilapia\",\"fish cooked\"], v:[130,22,0,4.5,0,0] },\n { a:[\"prawns\",\"shrimp\"], v:[85,18,0.5,1,0,0] },\n { a:[\"mutton\",\"lamb cooked\",\"mutton cooked\"], v:[250,26,0,16,0,0] },\n { a:[\"paneer\"], v:[290,18,3.5,23,0,3] },\n { a:[\"tofu\"], v:[76,8,1.9,4.8,0.3,0.6] },\n { a:[\"soya chunks\",\"soya chunks dry\"], v:[345,52,33,0.5,13,2] },\n { a:[\"milk\",\"whole milk\",\"full cream milk\"], v:[62,3.2,4.7,3.3,0,4.7] },\n { a:[\"toned milk\"], v:[58,3.1,4.7,3,0,4.7] },\n { a:[\"skim milk\",\"skimmed milk\",\"double toned milk\"], v:[36,3.4,5,0.2,0,5] },\n { a:[\"curd\",\"yogurt\",\"dahi\"], v:[60,3.5,4.7,3.3,0,4.7] },\n { a:[\"greek yogurt\"], v:[59,10,3.6,0.4,0,3.2] },\n { a:[\"cheese\"], v:[350,25,2,27,0,1] },\n { a:[\"butter\"], v:[717,0.8,0.6,81,0,0.6] },\n { a:[\"ghee\"], v:[900,0,0,100,0,0] },\n { a:[\"oil\",\"sunflower oil\",\"olive oil\",\"mustard oil\",\"vegetable oil\"], v:[884,0,0,100,0,0] },\n { a:[\"sugar\",\"sugar tsp\"], v:[400,0,100,0,0,100] },\n { a:[\"honey\"], v:[304,0.3,82,0,0,82] },\n { a:[\"peanuts\",\"groundnut\"], v:[567,26,16,49,8.5,4] },\n { a:[\"peanut butter\"], v:[590,25,20,50,6,9] },\n { a:[\"almonds\",\"badam\"], v:[600,21,22,50,12.5,4.4] },\n { a:[\"cashew\",\"kaju\"], v:[553,18,30,44,3.3,6] },\n { a:[\"whey\",\"whey protein\",\"protein powder\",\"protein scoop\"], v:[370,80,8,6,0,5], piece:30 },\n { a:[\"banana\",\"kela\"], v:[89,1.1,23,0.3,2.6,12], piece:120 },\n { a:[\"apple\"], v:[52,0.3,14,0.2,2.4,10], piece:180 },\n { a:[\"mango\"], v:[60,0.8,15,0.4,1.6,14] },\n { a:[\"orange\"], v:[47,0.9,12,0.1,2.4,9], piece:130 },\n { a:[\"onion\",\"pyaz\"], v:[40,1.1,9,0.1,1.7,4.2] },\n { a:[\"tomato\"], v:[18,0.9,3.9,0.2,1.2,2.6] },\n { a:[\"spinach\",\"palak\"], v:[23,2.9,3.6,0.4,2.2,0.4] },\n { a:[\"carrot\",\"gajar\"], v:[41,0.9,10,0.2,2.8,4.7] },\n { a:[\"cucumber\"], v:[15,0.7,3.6,0.1,0.5,1.7] },\n { a:[\"capsicum\",\"bell pepper\"], v:[26,1,6,0.3,2.1,4.2] },\n { a:[\"mixed vegetables\",\"mixed veg\",\"sabzi veg\"], v:[45,2,8,0.3,3,3] },\n { a:[\"coconut\",\"coconut fresh\"], v:[354,3.3,15,33,9,6] },\n { a:[\"green chilli\",\"green chillies\",\"green chili\",\"hari mirch\",\"chilli\",\"chillies\"], v:[40,2,9,0.4,4.3,5.1] },\n { a:[\"garlic\",\"lehsun\"], v:[149,6.4,33,0.5,2.1,1] },\n { a:[\"ginger\",\"adrak\"], v:[80,1.8,18,0.8,2,1.7] },\n { a:[\"okra\",\"bhindi\",\"ladies finger\"], v:[33,1.9,7,0.2,3.2,1.5] },\n { a:[\"brinjal\",\"eggplant\",\"baingan\",\"aubergine\"], v:[25,1,6,0.2,3,3.5] },\n { a:[\"cauliflower\",\"gobi\"], v:[25,1.9,5,0.3,2,1.9] },\n { a:[\"cabbage\",\"patta gobi\"], v:[25,1.3,6,0.1,2.5,3.2] },\n { a:[\"peas\",\"matar\",\"green peas\"], v:[81,5.4,14,0.4,5.7,5.7] },\n { a:[\"corn\",\"sweet corn\",\"makka\"], v:[86,3.3,19,1.4,2,3.2] },\n { a:[\"mushroom\",\"mushrooms\"], v:[22,3.1,3.3,0.3,1,2] },\n { a:[\"green beans\",\"beans\",\"french beans\"], v:[31,1.8,7,0.1,2.7,3.3] },\n { a:[\"bottle gourd\",\"lauki\",\"doodhi\"], v:[14,0.6,3.4,0,0.5,3] },\n { a:[\"pumpkin\",\"kaddu\"], v:[26,1,6.5,0.1,0.5,2.8] },\n { a:[\"lemon juice\",\"lemon\",\"nimbu\"], v:[22,0.4,7,0.2,0.3,2.5] },\n { a:[\"jaggery\",\"gud\"], v:[383,0.4,98,0.1,0,84] },\n { a:[\"maida\",\"refined flour\",\"all purpose flour\"], v:[364,10,76,1,2.7,0.3] },\n { a:[\"pasta cooked\",\"pasta\"], v:[158,5.8,31,0.9,1.8,0.6] },\n { a:[\"noodles cooked\",\"noodles\",\"maggi\"], v:[138,4.5,25,2.1,1.2,0.4] },\n { a:[\"buttermilk\",\"chaas\",\"chhach\"], v:[30,1.5,3,1.5,0,3] },\n { a:[\"papaya\"], v:[43,0.5,11,0.3,1.7,8] },\n { a:[\"grapes\",\"angoor\"], v:[69,0.7,18,0.2,0.9,15] },\n { a:[\"watermelon\",\"tarbooz\"], v:[30,0.6,8,0.2,0.4,6] },\n { a:[\"dates\",\"khajur\"], v:[282,2.5,75,0.4,8,63] },\n { a:[\"raisins\",\"kishmish\"], v:[299,3,79,0.5,3.7,59] },\n { a:[\"coriander\",\"dhaniya\",\"cilantro\"], v:[23,2.1,3.7,0.5,2.8,0.9] },\n { a:[\"quark\",\"magerquark\"], v:[67,12,4,0.2,0,4] },\n { a:[\"skyr\"], v:[63,11,4,0.2,0,3.5] },\n { a:[\"cottage cheese\",\"huttenkase\",\"hüttenkäse\"], v:[98,11,3.4,4.3,0,2.7] },\n { a:[\"tempeh\"], v:[192,20,7.6,11,4.7,0] },\n { a:[\"seitan\"], v:[121,25,4,2,0.6,0] },\n { a:[\"hummus\"], v:[166,8,14,10,6,0.3] },\n { a:[\"falafel\"], v:[333,13,32,18,5,2] },\n { a:[\"quinoa cooked\",\"quinoa\"], v:[120,4.4,21,1.9,2.8,0.9] },\n { a:[\"couscous cooked\",\"couscous\"], v:[112,3.8,23,0.2,1.4,0.1] },\n { a:[\"soy milk\",\"soya milk\"], v:[33,3.3,1.8,1.9,0.2,1.8] },\n { a:[\"oat milk\"], v:[45,1,7,1.5,0.8,4] },\n { a:[\"muesli\",\"müsli\",\"musli\",\"bircher\"], v:[370,10,66,6,8,16] },\n { a:[\"gruyere\",\"gruyère\",\"emmental\",\"swiss cheese\"], v:[413,30,0.4,32,0,0.4] },\n { a:[\"mozzarella\"], v:[280,22,2.2,20,0,1] },\n { a:[\"rosti\",\"rösti\"], v:[150,2,20,7,1.8,0.8] },\n { a:[\"dark chocolate\"], v:[546,5,46,31,7,24] },\n { a:[\"avocado\"], v:[160,2,8.5,15,6.7,0.7] },\n { a:[\"tortilla wrap\",\"wrap\",\"tortilla\"], v:[300,8,50,7,3,3], piece:60 },\n { a:[\"pizza margherita\",\"pizza\"], v:[266,11,33,10,2.3,3.6] },\n];\n// Preparation-style keywords → oil automatically added (grams of oil as fn of food grams)\nconst PREP: [string, (g: number) => number][] = [\n [\"deep fried\", g => g * 0.12], [\"deep-fried\", g => g * 0.12],\n [\"shallow fried\", () => 8], [\"shallow-fried\", () => 8],\n [\"pan fried\", () => 5], [\"pan-fried\", () => 5], [\"stir fried\", () => 5], [\"stir-fried\", () => 5],\n [\"air fried\", () => 2], [\"air-fried\", () => 2],\n [\"fried\", g => g * 0.10],\n [\"sauteed\", () => 5], [\"sautéed\", () => 5], [\"tadka\", () => 5],\n [\"roasted\", () => 2], [\"baked\", () => 3], [\"grilled\", () => 3],\n [\"boiled\", () => 0], [\"steamed\", () => 0],\n];\nconst UNITS: Record = { g:1, gm:1, gram:1, grams:1, kg:1000, ml:1, l:1000, litre:1000, liter:1000, tsp:5, tbsp:15, cup:240, cups:240, scoop:0, scoops:0, pc:0, pcs:0, piece:0, pieces:0, slice:0, slices:0, no:0, nos:0 };\nconst PIECE_UNITS = new Set([\"pc\",\"pcs\",\"piece\",\"pieces\",\"slice\",\"slices\",\"no\",\"nos\",\"scoop\",\"scoops\"]);\n\nfunction matchFood(name: string): Food | null {\n const n = \" \" + name.toLowerCase().replace(/[^a-z ]/g,\" \").replace(/\\s+/g,\" \").trim() + \" \";\n let best: Food | null = null, bestLen = 0;\n for (const f of FOODS) for (const a of f.a) {\n if (n.includes(\" \" + a + \" \") && a.length > bestLen) { best = f; bestLen = a.length; }\n }\n return best;\n}\nasync function offLookup(q: string) {\n try {\n const u = \"https://ch.openfoodfacts.org/cgi/search.pl?search_terms=\" + encodeURIComponent(q) +\n \"&search_simple=1&action=process&json=1&page_size=1&fields=product_name,nutriments\";\n const r = await fetch(u, { headers: { \"User-Agent\": \"FatLossTracker/1.0 (personal val.town app)\" } });\n const j = await r.json();\n const p = j.products?.[0];\n if (!p?.nutriments?.[\"energy-kcal_100g\"]) return null;\n const nu = p.nutriments;\n return { name: p.product_name || q, v: [nu[\"energy-kcal_100g\"]||0, nu[\"proteins_100g\"]||0, nu[\"carbohydrates_100g\"]||0, nu[\"fat_100g\"]||0, nu[\"fiber_100g\"]||0, nu[\"sugars_100g\"]||0] as [number,number,number,number,number,number] };\n } catch { return null; }\n}\nasync function parseText(text: string) {\n const segs = text.split(/[,\\n;]+| and /i).map(s => s.trim()).filter(Boolean);\n const items: any[] = [], unmatched: string[] = [];\n for (const seg of segs) {\n const m = seg.match(/(\\d+(?:\\.\\d+)?)\\s*(g|gm|grams?|kg|ml|l|litre|liter|tsp|tbsp|cups?|scoops?|pcs?|pieces?|slices?|nos?)?\\b/i);\n let qty = m ? parseFloat(m[1]) : 1;\n let unit = (m?.[2] || \"\").toLowerCase();\n const name = (m ? (seg.slice(0, m.index) + \" \" + seg.slice(m.index! + m[0].length)) : seg).trim();\n const f = matchFood(name || seg);\n let grams: number, label: string, v: [number,number,number,number,number,number], src = \"EU table\";\n if (f) {\n v = f.v; label = f.a[0];\n if (PIECE_UNITS.has(unit) || (!unit && f.piece)) grams = qty * (f.piece ?? 100);\n else if (unit) grams = qty * (UNITS[unit] || 1);\n else grams = qty; // bare number, no piece food: treat as grams\n } else {\n const off = await offLookup(name || seg);\n if (!off) { unmatched.push(seg); continue; }\n v = off.v; label = off.name + \" (OFF)\"; src = \"Open Food Facts\";\n grams = unit && !PIECE_UNITS.has(unit) ? qty * (UNITS[unit] || 1) : qty >= 10 ? qty : 100;\n }\n const k = grams / 100;\n items.push({ seg, label, grams: Math.round(grams), src,\n kcal: Math.round(v[0]*k), prot: +(v[1]*k).toFixed(1), carb: +(v[2]*k).toFixed(1),\n fat: +(v[3]*k).toFixed(1), fibre: +(v[4]*k).toFixed(1), sugar: +(v[5]*k).toFixed(1) });\n // prep-style keyword in this segment → auto-add absorbed oil (\"no oil\"/\"without oil\"/\"dry\" cancels it)\n const lseg = seg.toLowerCase();\n const noOil = /no oil|without oil|oil free|oil-free|\\bdry\\b/.test(lseg);\n for (const [kw, fn] of PREP) {\n if (noOil) break;\n if (lseg.includes(kw)) {\n const oilG = Math.round(fn(grams) * 10) / 10;\n if (oilG > 0) items.push({ seg: kw, label: \"oil (\" + kw + \")\", grams: oilG, src: \"prep\",\n kcal: Math.round(8.84 * oilG), prot: 0, carb: 0, fat: oilG, fibre: 0, sugar: 0 });\n break;\n }\n }\n }\n const tot = (f: string) => +items.reduce((a, i) => a + i[f], 0).toFixed(1);\n return { items, unmatched, totals: { kcal: Math.round(tot(\"kcal\")), prot: tot(\"prot\"), carb: tot(\"carb\"), fat: tot(\"fat\"), fibre: tot(\"fibre\"), sugar: tot(\"sugar\") } };\n}\n\n// ---------- Notion ----------\nfunction todayISO() { return new Intl.DateTimeFormat(\"en-CA\", { timeZone: TZ }).format(new Date()); }\nfunction tomorrowISO() { return new Intl.DateTimeFormat(\"en-CA\", { timeZone: TZ }).format(new Date(Date.now() + 864e5)); }\nasync function notion(path: string, method: string, body?: unknown) {\n const r = await fetch(NOTION + path, { method, headers: {\n \"Authorization\": \"Bearer \" + Deno.env.get(\"NOTION_TOKEN\"), \"Notion-Version\": \"2022-06-28\", \"Content-Type\": \"application/json\" },\n body: body ? JSON.stringify(body) : undefined });\n const j = await r.json();\n if (!r.ok) throw new Error(j.message || r.statusText);\n return j;\n}\nasync function findToday() {\n const q = await notion(`/databases/${DB_ID}/query`, \"POST\", { filter: { and: [\n { property: \"Date\", date: { on_or_after: todayISO() } }, { property: \"Date\", date: { before: tomorrowISO() } } ] } });\n return q.results[0] ?? null;\n}\nconst FIELD_MAP: Record = { kcal:\"Calories (kcal)\", prot:\"Protein (g)\", carb:\"Carbs (g)\", fat:\"Fat (g)\", fibre:\"Fibre (g)\", sugar:\"Sugar (g)\", water:\"Water (ml)\" };\nfunction num(page: any, prop: string) { return page?.properties?.[prop]?.number ?? 0; }\nasync function upsert(add: Record, setWeight?: number, setSleep?: number) {\n const page = await findToday();\n const props: any = {};\n for (const [k, col] of Object.entries(FIELD_MAP)) if (add[k]) props[col] = { number: Math.round((num(page, col) + add[k]) * 10) / 10 };\n if (setWeight) props[\"Weight (kg)\"] = { number: setWeight };\n if (setSleep) props[\"Sleep (h)\"] = { number: setSleep };\n if (page) await notion(`/pages/${page.id}`, \"PATCH\", { properties: props });\n else {\n const d = todayISO();\n props[\"Name\"] = { title: [{ text: { content: d } }] }; props[\"Date\"] = { date: { start: d } };\n await notion(`/pages`, \"POST\", { parent: { database_id: DB_ID }, properties: props });\n }\n return today();\n}\nasync function today() {\n const p = await findToday(); const o: any = {};\n for (const [k, col] of Object.entries(FIELD_MAP)) o[k] = num(p, col);\n o.weight = p?.properties?.[\"Weight (kg)\"]?.number ?? null;\n return o;\n}\nasync function allRows() {\n let cursor: string | undefined, rows: any[] = [];\n do {\n const q = await notion(`/databases/${DB_ID}/query`, \"POST\", { page_size: 100, start_cursor: cursor,\n sorts: [{ property: \"Date\", direction: \"ascending\" }] });\n for (const p of q.results) rows.push({\n d: (p.properties?.Date?.date?.start || \"\").slice(0, 10),\n w: p.properties?.[\"Weight (kg)\"]?.number ?? null, c: p.properties?.[\"Calories (kcal)\"]?.number ?? null,\n p: p.properties?.[\"Protein (g)\"]?.number ?? null, ae: p.properties?.[\"Active energy (kcal)\"]?.number ?? null,\n s: p.properties?.[\"Steps\"]?.number ?? null, carb: p.properties?.[\"Carbs (g)\"]?.number ?? null,\n fat: p.properties?.[\"Fat (g)\"]?.number ?? null, fb: p.properties?.[\"Fibre (g)\"]?.number ?? null,\n sug: p.properties?.[\"Sugar (g)\"]?.number ?? null, wat: p.properties?.[\"Water (ml)\"]?.number ?? null,\n slp: p.properties?.[\"Sleep (h)\"]?.number ?? null });\n cursor = q.has_more ? q.next_cursor : undefined;\n } while (cursor);\n return rows.filter(r => r.d);\n}\n\n// ---------- HTTP ----------\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const key = url.searchParams.get(\"key\") ?? req.headers.get(\"x-key\");\n if (key !== Deno.env.get(\"LOG_KEY\")) return new Response(\"Unauthorized — add ?key=YOUR-LOG-KEY\", { status: 401 });\n try {\n if (req.method === \"GET\" && url.pathname === \"/barcode\") {\n const code = (url.searchParams.get(\"code\") || \"\").replace(/\\D/g, \"\");\n if (!code) return Response.json({ error: \"No barcode\" }, { status: 400 });\n const r = await fetch(`https://world.openfoodfacts.org/api/v2/product/${code}?fields=product_name,brands,nutriments,serving_size`,\n { headers: { \"User-Agent\": \"FatLossTracker/1.0 (personal val.town app)\" } });\n const j = await r.json();\n if (j.status !== 1 || !j.product?.nutriments) return Response.json({ error: \"Not found on Open Food Facts — use direct entry from the label\" });\n const nu = j.product.nutriments;\n return Response.json({ name: [j.product.brands, j.product.product_name].filter(Boolean).join(\" \"), serving: j.product.serving_size || null,\n per100: { kcal: nu[\"energy-kcal_100g\"] || 0, prot: nu[\"proteins_100g\"] || 0, carb: nu[\"carbohydrates_100g\"] || 0,\n fat: nu[\"fat_100g\"] || 0, fibre: nu[\"fiber_100g\"] || 0, sugar: nu[\"sugars_100g\"] || 0 } });\n }\n if (req.method === \"POST\" && url.pathname === \"/parse\") return Response.json(await parseText((await req.json()).text || \"\"));\n if (req.method === \"POST\" && url.pathname === \"/log\") { const b = await req.json(); return Response.json(await upsert(b)); }\n if (req.method === \"POST\" && url.pathname === \"/weight\") { const b = await req.json(); return Response.json(await upsert({}, Number(b.kg))); }\n if (req.method === \"POST\" && url.pathname === \"/sleep\") { const b = await req.json(); return Response.json(await upsert({}, undefined, Number(b.h))); }\n if (req.method === \"GET\" && url.pathname === \"/today\") return Response.json(await today());\n if (req.method === \"GET\" && url.pathname === \"/data\") return Response.json(await allRows());\n } catch (e) { return Response.json({ error: String((e as Error).message ?? e) }, { status: 500 }); }\n return new Response(HTML, { headers: { \"Content-Type\": \"text/html; charset=utf-8\" } });\n}\n\n// ---------- UI ----------\nconst HTML = `\n\n\nFat Loss\n\n\n\n

Log

Stats

\n\n

kcal

–

Prot

–

Fibre

–

Water

–

What did you eat? (include the oil!)

\n \n

Prep words work: fried / deep fried / shallow fried / boiled / baked / roasted / tadka — oil gets added automatically. If you tag a method, don't also type the oil separately.

Packaged food (barcode on the carton)

\n \n \n

Presets

After analyzing a meal, save it as a preset for one-tap logging.

Water

\n \n \n

Known values (direct)

\n \n

Morning check-in

\n\n\n\n\n

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What did you eat? (include the oil!)

Packaged food (barcode on the carton)

Presets

Water

Known values (direct)

Morning check-in

Weight & trend

Intake vs TDEE & target

Protein

Activity — steps & active energy

Recommendation

Today vs targets

Diff · v52