[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_332":333,"_334":335},"routes/_app.x.$handle.$name",{"_97":96,"_32":46,"_105":87,"_27":54,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":25,"_119":120,"_121":60,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_32":46,"_39":47,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":60,"_61":60,"_62":-5,"_63":64,"_65":66,"_67":-5,"_68":-5,"_69":-5,"_70":-5,"_71":72,"_73":72,"_74":75,"_76":75,"_77":75,"_78":72,"_79":72,"_80":81,"_82":83,"_84":85,"_86":25},"version",113,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":35,"_36":38,"_39":40,"_41":14,"_42":43,"_24":25},"previous",{"_30":31,"_32":33,"_34":35,"_36":37},"deleted",false,"deletedHere","path","frontend/components/App.tsx","latestPath","fileId","8a15397c-c886-11f0-925b-42dde27851f2","name","App.tsx","fileType","script","content","/** @jsxImportSource https://esm.sh/react@18.2.0 */\n\nimport {\n Check,\n Copy,\n Database,\n ImageUp,\n Trash2,\n X,\n} from \"https://esm.sh/lucide-react@0.475.0?deps=react@18.2.0\";\nimport type { ChangeEvent, DragEvent } from \"https://esm.sh/react@18.2.0\";\nimport { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\nimport type { AnalyzeResponse, FoodItem } from \"../../shared/types.ts\";\n\ninterface AnalyzedBatch {\n id: string;\n imageUrl: string;\n items: FoodItem[];\n fromCache?: boolean;\n}\n\nconst compressImage = async (\n file: File,\n maxBase64Chars: number = 5_242_880 - 1000,\n): Promise<{ base64: string; mediaType: string }> => {\n const img = await createImageBitmap(file);\n\n const canvas = document.createElement(\"canvas\");\n const ctx = canvas.getContext(\"2d\");\n if (!ctx) throw new Error(\"Failed to get canvas context\");\n\n let { width, height } = img;\n let quality = 0.8;\n\n const ratio = (file.size * 1.37) / maxBase64Chars;\n\n if (ratio > 3) {\n const scale = Math.sqrt(1 / ratio) * 1.5;\n width = Math.floor(width * scale);\n height = Math.floor(height * scale);\n quality = 0.7;\n } else if (ratio > 1.5) {\n quality = 0.6;\n }\n\n canvas.width = width;\n canvas.height = height;\n ctx.drawImage(img, 0, 0, width, height);\n\n const blob = await new Promise((resolve, reject) => {\n try {\n canvas.toBlob(\n (b) => {\n try {\n if (!b) {\n reject(new Error(\"Failed to convert canvas to blob\"));\n return;\n }\n resolve(b);\n } catch (error) {\n reject(\n error instanceof Error\n ? error\n : new Error(\"Unknown error converting canvas to blob\"),\n );\n }\n },\n \"image/jpeg\",\n quality,\n );\n } catch (error) {\n reject(\n error instanceof Error\n ? error\n : new Error(\"Failed to convert canvas to blob\"),\n );\n }\n });\n\n const buffer = await blob.arrayBuffer();\n const bytes = new Uint8Array(buffer);\n let binary = \"\";\n for (let i = 0; i < bytes.length; i += 0x8000) {\n binary += String.fromCharCode(...bytes.subarray(i, i + 0x8000));\n }\n\n return { base64: btoa(binary), mediaType: \"image/jpeg\" };\n};\n\nexport default function App() {\n const [imagePreview, setImagePreview] = useState(null);\n const [compressing, setCompressing] = useState(false);\n const [analyzing, setAnalyzing] = useState(false);\n const [history, setHistory] = useState([]);\n const [error, setError] = useState(null);\n const [copied, setCopied] = useState(false);\n const [isDragging, setIsDragging] = useState(false);\n const fileInputRef = useRef(null);\n const objectUrlsRef = useRef>(new Set());\n\n const isBusy = compressing || analyzing;\n\n const processFile = async (file: File) => {\n const validTypes = [\"image/jpeg\", \"image/png\", \"image/gif\", \"image/webp\"];\n if (!validTypes.includes(file.type)) {\n setError(\"Please select a valid image file (JPEG, PNG, GIF, or WebP)\");\n if (fileInputRef.current) fileInputRef.current.value = \"\";\n return;\n }\n\n setError(null);\n setCopied(false);\n const imageUrl = URL.createObjectURL(file);\n objectUrlsRef.current.add(imageUrl);\n setImagePreview(imageUrl);\n\n setCompressing(true);\n try {\n const { base64, mediaType } = await compressImage(file);\n setCompressing(false);\n setAnalyzing(true);\n\n const response = await fetch(\"/api/analyze\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n filename: file.name,\n imageData: base64,\n mediaType,\n }),\n });\n\n const data = (await response.json()) as AnalyzeResponse;\n\n if (data.success && data.items) {\n const batch: AnalyzedBatch = {\n id: crypto.randomUUID(),\n imageUrl,\n items: data.items,\n fromCache: data.fromCache ?? false,\n };\n setHistory((prev) => [...prev, batch]);\n } else {\n setError(data.error || \"Failed to analyze image\");\n }\n } catch (err) {\n setError(err instanceof Error ? err.message : \"Failed to analyze image\");\n } finally {\n setCompressing(false);\n setAnalyzing(false);\n }\n };\n\n const handleFileSelect = async (e: ChangeEvent) => {\n const file = e.target.files?.[0];\n if (!file) return;\n await processFile(file);\n };\n\n const handleDragOver = (e: DragEvent) => {\n e.preventDefault();\n if (!isBusy) setIsDragging(true);\n };\n\n const handleDragLeave = () => {\n setIsDragging(false);\n };\n\n const handleDrop = async (e: DragEvent) => {\n e.preventDefault();\n setIsDragging(false);\n if (isBusy) return;\n const file = e.dataTransfer.files?.[0];\n if (file) await processFile(file);\n };\n\n const handleReset = () => {\n if (imagePreview && objectUrlsRef.current.has(imagePreview)) {\n const isInHistory = history.some(\n (batch) => batch.imageUrl === imagePreview,\n );\n if (!isInHistory) {\n URL.revokeObjectURL(imagePreview);\n objectUrlsRef.current.delete(imagePreview);\n }\n }\n setImagePreview(null);\n setError(null);\n setCopied(false);\n if (fileInputRef.current) {\n fileInputRef.current.value = \"\";\n }\n };\n\n const handleViewImage = (imageUrl: string) => {\n setImagePreview(imageUrl);\n };\n\n const handleClearHistory = () => {\n history.forEach((batch) => {\n if (objectUrlsRef.current.has(batch.imageUrl)) {\n URL.revokeObjectURL(batch.imageUrl);\n objectUrlsRef.current.delete(batch.imageUrl);\n }\n });\n setHistory([]);\n if (imagePreview && history.some((b) => b.imageUrl === imagePreview)) {\n setImagePreview(null);\n }\n };\n\n const handleCopy = async () => {\n if (history.length === 0) return;\n\n const rows: string[] = [\"Food Item\\tQuantity\"];\n\n history.forEach((batch) => {\n batch.items.forEach((item) => {\n rows.push(`${item.name}\\t${item.quantity}`);\n });\n });\n\n const tsvContent = rows.join(\"\\n\");\n\n try {\n await navigator.clipboard.writeText(tsvContent);\n setCopied(true);\n setError(null);\n setTimeout(() => setCopied(false), 2000);\n } catch (err) {\n setError(\n \"Failed to copy to clipboard. Try using Ctrl+C / Cmd+C instead.\",\n );\n }\n };\n\n useEffect(() => {\n return () => {\n objectUrlsRef.current.forEach((url) => {\n URL.revokeObjectURL(url);\n });\n };\n }, []);\n\n return (\n

\n 🍽️\n

\n Food Analyzer\n

\n Upload a photo to identify food items\n

\n\n {/* File Input */}\n

\n \n \n \n \n

\n {isDragging ? \"Drop image here\" : \"Click or drag to upload\"}\n

\n JPEG, PNG, GIF, or WebP\n

\n \n \n

\n\n {/* Image Preview */}\n {imagePreview && (\n

\n \n \n \n \n

\n )}\n\n {/* Compression State */}\n {compressing && (\n \n

Compressing image...

\n \n )}\n\n {/* Analysis State */}\n {analyzing && (\n \n

Analyzing image...

\n \n )}\n\n {/* Error Display */}\n {error && (\n \n

{error}

\n \n )}\n\n {/* History Table */}\n {history.length > 0 && (\n

\n Detected Items\n

\n \n \n Clear\n \n \n {copied\n ? (\n <>\n \n Copied!\n \n )\n : (\n <>\n \n Copy All\n \n )}\n \n

\n \n \n \n \n \n Source\n \n \n Food Item\n \n \n Qty\n \n \n \n \n {history.flatMap((batch) =>\n batch.items.map((item, itemIndex) => (\n \n \n \n \n \n ))\n )}\n \n

\n List of detected food items from uploaded images\n
\n {itemIndex === 0 && (\n \n \n handleViewImage(batch.imageUrl)}\n className=\"text-orange-600 hover:text-orange-700 font-medium text-sm hover:underline focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-orange-500 rounded\"\n >\n View\n \n {batch.fromCache && (\n \n \n Cached\n \n )}\n \n )}\n	\n {item.name}\n	\n \n {item.quantity}\n \n

\n )}\n \n \n );\n}","/** @jsxImportSource https://esm.sh/react@18.2.0 */\n\nimport {\n\tCheck,\n\tCopy,\n\tDatabase,\n\tImageUp,\n\tTrash2,\n\tX,\n} from \"https://esm.sh/lucide-react@0.475.0?deps=react@18.2.0\";\nimport type { ChangeEvent, DragEvent } from \"https://esm.sh/react@18.2.0\";\nimport { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\nimport type { AnalyzeResponse, FoodItem } from \"../../shared/types.ts\";\n\ninterface AnalyzedBatch {\n\tid: string;\n\timageUrl: string;\n\titems: FoodItem[];\n\tfromCache?: boolean;\n}\n\nconst compressImage = async (\n\tfile: File,\n\tmaxBase64Chars: number = 5_242_880 - 1000,\n): Promise<{ base64: string; mediaType: string }> => {\n\tconst img = await createImageBitmap(file);\n\n\tconst canvas = document.createElement(\"canvas\");\n\tconst ctx = canvas.getContext(\"2d\");\n\tif (!ctx) throw new Error(\"Failed to get canvas context\");\n\n\tlet { width, height } = img;\n\tlet quality = 0.8;\n\n\tconst ratio = (file.size * 1.37) / maxBase64Chars;\n\n\tif (ratio > 3) {\n\t\tconst scale = Math.sqrt(1 / ratio) * 1.5;\n\t\twidth = Math.floor(width * scale);\n\t\theight = Math.floor(height * scale);\n\t\tquality = 0.7;\n\t} else if (ratio > 1.5) {\n\t\tquality = 0.6;\n\t}\n\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tctx.drawImage(img, 0, 0, width, height);\n\n\tconst blob = await new Promise((resolve, reject) => {\n\t\ttry {\n\t\t\tcanvas.toBlob(\n\t\t\t\t(b) => {\n\t\t\t\t\ttry {\n\t\t\t\t\t\tif (!b) {\n\t\t\t\t\t\t\treject(new Error(\"Failed to convert canvas to blob\"));\n\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tresolve(b);\n\t\t\t\t\t} catch (error) {\n\t\t\t\t\t\treject(\n\t\t\t\t\t\t\terror instanceof Error\n\t\t\t\t\t\t\t\t? error\n\t\t\t\t\t\t\t\t: new Error(\"Unknown error converting canvas to blob\"),\n\t\t\t\t\t\t);\n\t\t\t\t\t}\n\t\t\t\t},\n\t\t\t\t\"image/jpeg\",\n\t\t\t\tquality,\n\t\t\t);\n\t\t} catch (error) {\n\t\t\treject(\n\t\t\t\terror instanceof Error\n\t\t\t\t\t? error\n\t\t\t\t\t: new Error(\"Failed to convert canvas to blob\"),\n\t\t\t);\n\t\t}\n\t});\n\n\tconst buffer = await blob.arrayBuffer();\n\tconst bytes = new Uint8Array(buffer);\n\tlet binary = \"\";\n\tfor (let i = 0; i < bytes.length; i += 0x8000) {\n\t\tbinary += String.fromCharCode(...bytes.subarray(i, i + 0x8000));\n\t}\n\n\treturn { base64: btoa(binary), mediaType: \"image/jpeg\" };\n};\n\nexport default function App() {\n\tconst [imagePreview, setImagePreview] = useState(null);\n\tconst [compressing, setCompressing] = useState(false);\n\tconst [analyzing, setAnalyzing] = useState(false);\n\tconst [history, setHistory] = useState([]);\n\tconst [error, setError] = useState(null);\n\tconst [copied, setCopied] = useState(false);\n\tconst [isDragging, setIsDragging] = useState(false);\n\tconst fileInputRef = useRef(null);\n\tconst objectUrlsRef = useRef>(new Set());\n\n\tconst isBusy = compressing || analyzing;\n\n\tconst processFile = async (file: File) => {\n\t\tconst validTypes = [\"image/jpeg\", \"image/png\", \"image/gif\", \"image/webp\"];\n\t\tif (!validTypes.includes(file.type)) {\n\t\t\tsetError(\"Please select a valid image file (JPEG, PNG, GIF, or WebP)\");\n\t\t\tif (fileInputRef.current) fileInputRef.current.value = \"\";\n\t\t\treturn;\n\t\t}\n\n\t\tsetError(null);\n\t\tsetCopied(false);\n\t\tconst imageUrl = URL.createObjectURL(file);\n\t\tobjectUrlsRef.current.add(imageUrl);\n\t\tsetImagePreview(imageUrl);\n\n\t\tsetCompressing(true);\n\t\ttry {\n\t\t\tconst { base64, mediaType } = await compressImage(file);\n\t\t\tsetCompressing(false);\n\t\t\tsetAnalyzing(true);\n\n\t\t\tconst response = await fetch(\"/api/analyze\", {\n\t\t\t\tmethod: \"POST\",\n\t\t\t\theaders: { \"Content-Type\": \"application/json\" },\n\t\t\t\tbody: JSON.stringify({\n\t\t\t\t\tfilename: file.name,\n\t\t\t\t\timageData: base64,\n\t\t\t\t\tmediaType,\n\t\t\t\t}),\n\t\t\t});\n\n\t\t\tconst data = (await response.json()) as AnalyzeResponse;\n\n\t\t\tif (data.success && data.items) {\n\t\t\t\tconst batch: AnalyzedBatch = {\n\t\t\t\t\tid: crypto.randomUUID(),\n\t\t\t\t\timageUrl,\n\t\t\t\t\titems: data.items,\n\t\t\t\t\tfromCache: data.fromCache ?? false,\n\t\t\t\t};\n\t\t\t\tsetHistory((prev) => [...prev, batch]);\n\t\t\t} else {\n\t\t\t\tsetError(data.error || \"Failed to analyze image\");\n\t\t\t}\n\t\t} catch (err) {\n\t\t\tsetError(err instanceof Error ? err.message : \"Failed to analyze image\");\n\t\t} finally {\n\t\t\tsetCompressing(false);\n\t\t\tsetAnalyzing(false);\n\t\t}\n\t};\n\n\tconst handleFileSelect = async (e: ChangeEvent) => {\n\t\tconst file = e.target.files?.[0];\n\t\tif (!file) return;\n\t\tawait processFile(file);\n\t};\n\n\tconst handleDragOver = (e: DragEvent) => {\n\t\te.preventDefault();\n\t\tif (!isBusy) setIsDragging(true);\n\t};\n\n\tconst handleDragLeave = () => {\n\t\tsetIsDragging(false);\n\t};\n\n\tconst handleDrop = async (e: DragEvent) => {\n\t\te.preventDefault();\n\t\tsetIsDragging(false);\n\t\tif (isBusy) return;\n\t\tconst file = e.dataTransfer.files?.[0];\n\t\tif (file) await processFile(file);\n\t};\n\n\tconst handleReset = () => {\n\t\tif (imagePreview && objectUrlsRef.current.has(imagePreview)) {\n\t\t\tconst isInHistory = history.some(\n\t\t\t\t(batch) => batch.imageUrl === imagePreview,\n\t\t\t);\n\t\t\tif (!isInHistory) {\n\t\t\t\tURL.revokeObjectURL(imagePreview);\n\t\t\t\tobjectUrlsRef.current.delete(imagePreview);\n\t\t\t}\n\t\t}\n\t\tsetImagePreview(null);\n\t\tsetError(null);\n\t\tsetCopied(false);\n\t\tif (fileInputRef.current) {\n\t\t\tfileInputRef.current.value = \"\";\n\t\t}\n\t};\n\n\tconst handleViewImage = (imageUrl: string) => {\n\t\tsetImagePreview(imageUrl);\n\t};\n\n\tconst handleClearHistory = () => {\n\t\thistory.forEach((batch) => {\n\t\t\tif (objectUrlsRef.current.has(batch.imageUrl)) {\n\t\t\t\tURL.revokeObjectURL(batch.imageUrl);\n\t\t\t\tobjectUrlsRef.current.delete(batch.imageUrl);\n\t\t\t}\n\t\t});\n\t\tsetHistory([]);\n\t\tif (imagePreview && history.some((b) => b.imageUrl === imagePreview)) {\n\t\t\tsetImagePreview(null);\n\t\t}\n\t};\n\n\tconst handleCopy = async () => {\n\t\tif (history.length === 0) return;\n\n\t\tconst rows: string[] = [\"Food Item\\tQuantity\"];\n\n\t\thistory.forEach((batch) => {\n\t\t\tbatch.items.forEach((item) => {\n\t\t\t\trows.push(`${item.name}\\t${item.quantity}`);\n\t\t\t});\n\t\t});\n\n\t\tconst tsvContent = rows.join(\"\\n\");\n\n\t\ttry {\n\t\t\tawait navigator.clipboard.writeText(tsvContent);\n\t\t\tsetCopied(true);\n\t\t\tsetError(null);\n\t\t\tsetTimeout(() => setCopied(false), 2000);\n\t\t} catch (err) {\n\t\t\tsetError(\"Failed to copy to clipboard. Try using Ctrl+C / Cmd+C instead.\");\n\t\t}\n\t};\n\n\tuseEffect(() => {\n\t\treturn () => {\n\t\t\tobjectUrlsRef.current.forEach((url) => {\n\t\t\t\tURL.revokeObjectURL(url);\n\t\t\t});\n\t\t};\n\t}, []);\n\n\treturn (\n\t\t

\n\t\t\t

\n\t\t\t\t

\n\t\t\t\t\t

\n\t\t\t\t\t\t🍽️\n\t\t\t\t\t

\n\t\t\t\t\t

\n\t\t\t\t\t\tFood Analyzer\n\t\t\t\t\t

\n\t\t\t\t\t

Upload a photo to identify food items

\n\t\t\t\t

\n\n\t\t\t\t{/* File Input */}\n\t\t\t\t

\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t{isDragging ? \"Drop image here\" : \"Click or drag to upload\"}\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

JPEG, PNG, GIF, or WebP

\n\t\t\t\t\t\t

\n\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t

\n\n\t\t\t\t{/* Image Preview */}\n\t\t\t\t{imagePreview && (\n\t\t\t\t\t

\n\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t

\n\t\t\t\t\t

\n\t\t\t\t)}\n\n\t\t\t\t{/* Compression State */}\n\t\t\t\t{compressing && (\n\t\t\t\t\t\n\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

Compressing image...

\n\t\t\t\t\t\t

\n\t\t\t\t\t

\n\t\t\t\t)}\n\n\t\t\t\t{/* Analysis State */}\n\t\t\t\t{analyzing && (\n\t\t\t\t\t\n\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

Analyzing image...

\n\t\t\t\t\t\t

\n\t\t\t\t\t\n\t\t\t\t)}\n\n\t\t\t\t{/* Error Display */}\n\t\t\t\t{error && (\n\t\t\t\t\t\n\t\t\t\t\t\t

{error}

\n\t\t\t\t\t\n\t\t\t\t)}\n\n\t\t\t\t{/* History Table */}\n\t\t\t\t{history.length > 0 && (\n\t\t\t\t\t

\n\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\tDetected Items\n\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\tClear\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t{copied ? (\n\t\t\t\t\t\t\t\t\t\t\t<>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tCopied!\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t) : (\n\t\t\t\t\t\t\t\t\t\t\t<>\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tCopy All\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t)}\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t{history.flatMap((batch) =>\n\t\t\t\t\t\t\t\t\t\t\tbatch.items.map((item, itemIndex) => (\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t)),\n\t\t\t\t\t\t\t\t\t\t)}\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t\t\t\tList of detected food items from uploaded images\n\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\tSource\n\t\t\t\t\t\t\t\t\t\t\t	\n\t\t\t\t\t\t\t\t\t\t\t\tFood Item\n\t\t\t\t\t\t\t\t\t\t\t	\n\t\t\t\t\t\t\t\t\t\t\t\tQty\n\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t{itemIndex === 0 && (\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t handleViewImage(batch.imageUrl)}\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tclassName=\"text-orange-600 hover:text-orange-700 font-medium text-sm hover:underline focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-orange-500 rounded\"\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tView\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t{batch.fromCache && (\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tCached\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t)}\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t)}\n\t\t\t\t\t\t\t\t\t\t\t\t\t	{item.name}	\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t{item.quantity}\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t

\n\t\t\t\t\t\t\t

\n\t\t\t\t\t\t

\n\t\t\t\t\t

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\"no-import-prefix\"]\n\t\t}\n\t},\n\t\"lock\": false,\n\t\"nodeModulesDir\": \"auto\"\n}\n","label",[137],"6d3e0cac-d010-11f0-a27e-42dde27851f2","biome.json","3c5cffee-c886-11f0-91ca-42dde27851f2",93,["D",1764742941912],"{\n\t\"$schema\": \"https://biomejs.dev/schemas/2.3.8/schema.json\",\n\t\"vcs\": { \"enabled\": true, \"clientKind\": \"git\", \"useIgnoreFile\": true },\n\t\"files\": { \"ignoreUnknown\": false },\n\t\"formatter\": { \"enabled\": true, \"indentStyle\": \"tab\" },\n\t\"linter\": { \"enabled\": true, \"rules\": { \"recommended\": true } },\n\t\"javascript\": { \"formatter\": { \"quoteStyle\": \"double\" } },\n\t\"assist\": {\n\t\t\"enabled\": true,\n\t\t\"actions\": { \"source\": { \"organizeImports\": \"on\" } }\n\t}\n}\n",[148],"4756460a-d013-11f0-bcf8-42dde27851f2","REVIEW.md","475649a2-d013-11f0-bcf8-42dde27851f2",111,["D",1764744166640],0,"# Food Analyzer - Future Improvements\n\nThis document captures potential enhancements and known edge cases identified during code review.\n\n## Nice-to-Haves\n\n### 1. Group History by Upload Batch\nCurrently `history.flatMap` produces a flat list. Users can't easily see which items came from which upload.\n\n**Suggested approach:**\n- Add a heading row or subtle divider between batches\n- Show a tiny thumbnail in the Source column for better context\n- Example: \"Upload #1\", \"Upload #2\" section headers\n\n### 2. Better Visual Separation in Table\n- Use alternating background colors per batch\n- Add a small preview thumbnail instead of just \"View\" link\n\n### 3. Persist History Across Reloads\nStore history metadata (without image blobs) in `localStorage`:\n\n```ts\nuseEffect(() => {\n const raw = localStorage.getItem(\"food-analyzer-history\");\n if (raw) setHistory(JSON.parse(raw));\n}, []);\n\nuseEffect(() => {\n localStorage.setItem(\"food-analyzer-history\", JSON.stringify(history));\n}, [history]);\n```\n\n**Note:** Would need a strategy to re-associate images (e.g., cache key or re-upload).\n\n### 4. Per-Item Notes or Editing\nAllow users to correct the AI's guesses or add annotations:\n- Inline editable field for name/quantity\n- Simple modal for editing\n\n### 5. Export as CSV File\nAdd a \"Download CSV\" button that generates a downloadable file:\n\n```ts\nconst handleDownloadCSV = () => {\n const rows = [\"Food Item,Quantity\"];\n history.forEach((batch) => {\n batch.items.forEach((item) => {\n rows.push(`\"${item.name}\",${item.quantity}`);\n });\n });\n const blob = new Blob([rows.join(\"\\n\")], { type: \"text/csv\" });\n const url = URL.createObjectURL(blob);\n const a = document.createElement(\"a\");\n a.href = url;\n a.download = \"food-items.csv\";\n a.click();\n URL.revokeObjectURL(url);\n};\n```\n\n### 6. Clarify Copy Behavior\n- Update button text to \"Copy All (for Excel/Sheets)\"\n- Add tooltip explaining TSV format is spreadsheet-friendly\n\n---\n\n## Edge Cases & Known Limitations\n\n### 1. Animated GIFs Become Single-Frame\n`canvas.toBlob(\"image/jpeg\")` always outputs JPEG:\n- Animated GIFs become a single-frame JPEG\n- PNGs with transparency lose transparency (background becomes white)\n\n**Potential fix:** Choose format based on input type:\n```ts\nconst outputType = file.type === \"image/png\" ? \"image/png\" : \"image/jpeg\";\ncanvas.toBlob(..., outputType, quality);\n```\n\n### 2. Very Large Images May Still Exceed Backend Limits\nThe compression heuristic may still produce payloads exceeding the limit for extremely large files.\n\n**Suggested fix:** Add a post-compression check:\n```ts\nconst { base64 } = await compressImage(file);\nif (base64.length > maxBase64Chars) {\n throw new Error(\"Image is too large even after compression. Try a smaller file.\");\n}\n```\n\n### 3. Browser Compatibility for `createImageBitmap`\nSome older browsers (especially Safari versions) don't fully support `createImageBitmap`.\n\n**Fallback approach:**\n```ts\nconst imgBitmap = \"createImageBitmap\" in window\n ? await createImageBitmap(file)\n : await new Promise((resolve, reject) => {\n const img = new Image();\n img.onload = () => resolve(img);\n img.onerror = () => reject(new Error(\"Failed to load image\"));\n img.src = URL.createObjectURL(file);\n });\n```\n\n### 4. Non-OK HTTP Responses\nCurrently assumes JSON even on server errors. If server returns HTML error page, `response.json()` will fail with a confusing message.\n\n**Safer approach:**\n```ts\nconst response = await fetch(\"/api/analyze\", ...);\nif (!response.ok) {\n throw new Error(`Server error (${response.status})`);\n}\nconst data = await response.json();\n```\n\n### 5. Race Conditions with Rapid Uploads\nIf upload is somehow triggered multiple times rapidly:\n- `compressing`/`analyzing` flags may flicker\n- History appends are safe but UI might look odd\n\n**Current mitigation:** Input is now disabled while busy.\n\n---\n\n## Color Contrast Notes\nSome text/background combinations are borderline for accessibility:\n- `text-orange-600` on white\n- `bg-orange-100 text-orange-700` for small text\n\nConsider using slightly darker text colors (`text-orange-700`, `text-rose-700`) for improved readability.\n",[155],"3c65a7d4-c886-11f0-ac2f-42dde27851f2","CLAUDE.md","3c65a89c-c886-11f0-ac2f-42dde27851f2",5,["D",1763913931206],"You are an advanced assistant specialized in generating Val Town code.\n\n## Core Guidelines\n\n- Ask clarifying questions when requirements are ambiguous\n- Provide complete, functional solutions rather than skeleton implementations\n- Test your logic against edge cases before presenting the final solution\n- Ensure all code follows Val Town's specific platform requirements\n- If a section of code that you're working on is getting too complex, consider\n refactoring it into subcomponents\n\n## Code Standards\n\n- Generate code in TypeScript or TSX\n- Add appropriate TypeScript types and interfaces for all data structures\n- Prefer official SDKs or libraries than writing API calls directly\n- Ask the user to supply API or library documentation if you are at all unsure\n about it\n- **Never bake in secrets into the code** - always use environment variables\n- Include comments explaining complex logic (avoid commenting obvious\n operations)\n- Follow modern ES6+ conventions and functional programming practices if\n possible\n\n## Types of triggers\n\n### 1. HTTP Trigger\n\n- Create web APIs and endpoints\n- Handle HTTP requests and responses\n- Example structure:\n\n```ts\nexport default async function (req: Request) {\n return new Response(\"Hello World\");\n}\n```\n\nFiles that are HTTP triggers have http in their name like `foobar.http.tsx`\n\n### 2. Cron Triggers\n\n- Run on a schedule\n- Use cron expressions for timing\n- Example structure:\n\n```ts\nexport default async function () {\n // Scheduled task code\n}\n```\n\nFiles that are Cron triggers have cron in their name like `foobar.cron.tsx`\n\n### 3. Email Triggers\n\n- Process incoming emails\n- Handle email-based workflows\n- Example structure:\n\n```ts\nexport default async function (email: Email) {\n // Process email\n}\n```\n\nFiles that are Email triggers have email in their name like `foobar.email.tsx`\n\n## Val Town Standard Libraries\n\nVal Town provides several hosted services and utility functions.\n\n### Blob Storage\n\n```ts\nimport { blob } from \"https://esm.town/v/std/blob\";\nawait blob.setJSON(\"myKey\", { hello: \"world\" });\nlet blobDemo = await blob.getJSON(\"myKey\");\nlet appKeys = await blob.list(\"app_\");\nawait blob.delete(\"myKey\");\n```\n\n### SQLite\n\n```ts\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nconst TABLE_NAME = \"todo_app_users_2\";\n// Create table - do this before usage and change table name when modifying schema\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL\n)`);\n// Query data\nconst result = await sqlite.execute(\n `SELECT * FROM ${TABLE_NAME} WHERE id = ?`,\n [1],\n);\n```\n\nNote: When changing a SQLite table's schema, change the table's name (e.g., add\n_2 or _3) to create a fresh table.\n\n### OpenAI\n\n```ts\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nconst openai = new OpenAI();\nconst completion = await openai.chat.completions.create({\n messages: [\n { role: \"user\", content: \"Say hello in a creative way\" },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 30,\n});\n```\n\n### Email\n\n```ts\nimport { email } from \"https://esm.town/v/std/email\";\n// By default emails the owner of the val\nawait email({\n subject: \"Hi\",\n text: \"Hi\",\n html: \"

Hi

\",\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport {\n parseProject,\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\"\nurls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's _extremely importing_ to note that `parseProject` and other\nStandard Library utilities ONLY RUN ON THE SERVER. If you need access to this\ndata on the client, run it in the server and pass it to the client by splicing\nit into the HTML page or by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use\n `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})`\n instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode\n symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use:\n `

Hi

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys)\n unless otherwise specified\n- **View Source:** Add a view source link by importing & using\n `import.meta.url.replace(\"ems.sh\", \"val.town)\"` (or passing this data to the\n client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add\n `` to HTML to capture\n client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local\n resolution; Avoid catches that merely log or return 500s. Let errors bubble up\n with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but\n generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure\n compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer\n simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with\n `?deps=react@18.2.0,react-dom@18.2.0` and start the file with\n `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same\n version\n- **Styling:** Default to using TailwindCSS via\n `` unless otherwise\n specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project\n files:\n ```ts\n import {\n readFile,\n serveFile,\n } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async (c) => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n\n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to\n see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:**\n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of\n React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with\n `export default app.fetch // This is the entry point for HTTP vals`",[170],"3c55ac30-c886-11f0-802a-42dde27851f2",".vtignore","3c55acee-c886-11f0-802a-42dde27851f2",["D",1763913931183],".git\n.vscode\n.cursor\n.DS_Store\nnode_modules\nvendor",[177],"9a2f194c-cfff-11f0-a8e6-42dde27851f2",".gitignore","9a2f1a00-cfff-11f0-a8e6-42dde27851f2",31,["D",1764735715870],"# Based on https://raw.githubusercontent.com/github/gitignore/main/Node.gitignore\n\n# Logs\n\nlogs\n_.log\nnpm-debug.log_\nyarn-debug.log*\nyarn-error.log*\nlerna-debug.log*\n.pnpm-debug.log*\n\n# Caches\n\n.cache\n\n# Diagnostic reports (https://nodejs.org/api/report.html)\n\nreport.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json\n\n# Runtime data\n\npids\n_.pid\n_.seed\n*.pid.lock\n\n# Directory for instrumented libs generated by jscoverage/JSCover\n\nlib-cov\n\n# Coverage directory used by tools like istanbul\n\ncoverage\n*.lcov\n\n# nyc test coverage\n\n.nyc_output\n\n# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)\n\n.grunt\n\n# Bower dependency directory 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interface FoodItem {\n\tname: string;\n\tquantity: number;\n}\n\nexport interface AnalyzeRequest {\n\tfilename: string;\n\timageData: string;\n\tmediaType: \"image/jpeg\" | \"image/png\" | \"image/gif\" | \"image/webp\";\n}\n\nexport interface AnalyzeResponse {\n\tsuccess: boolean;\n\tresult?: string;\n\titems?: FoodItem[];\n\terror?: string;\n\tfromCache?: boolean;\n}\n",[],[190,259],["D",1763914061333],[228],[190],"934be684-d011-11f0-a1fb-42dde27851f2","style.css","8a23ee72-c886-11f0-901a-42dde27851f2",103,["D",1764743435245],"/* Additional custom styles if needed */\nbody {\n font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen,\n Ubuntu, Cantarell, sans-serif;\n}\n\n/* Smooth animations */\n@keyframes spin {\n from {\n transform: rotate(0deg);\n }\n to {\n transform: rotate(360deg);\n }\n}\n\n.animate-spin {\n animation: spin 1s linear infinite;\n}\n",[],[197,270],"9a4739c8-cfff-11f0-9de6-42dde27851f2","index.tsx","8a079b3c-c886-11f0-938a-42dde27851f2",36,["D",1764735715876],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\n\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client?deps=react@18.2.0\";\nimport App from \"./components/App.tsx\";\n\nconst rootElement = document.getElementById(\"root\");\n\nif (!rootElement) {\n\tthrow new Error(\"Root element not found\");\n}\n\nconst root = createRoot(rootElement);\nroot.render();\n",[],[197,278],"3af98e86-d012-11f0-8460-42dde27851f2","index.html","8a11d0ac-c886-11f0-87f6-42dde27851f2",106,["D",1764743716580],"\n\n\n \n \n Food Image Analyzer\n \n \n \n\n\n

\n \n\n\n",[],[197,286],"6c3ebe3a-d05d-11f0-b9d5-42dde27851f2","89f50788-c886-11f0-82dc-42dde27851f2",["D",1764776011486],28,[],[197,299,33],"components","89f506d4-c886-11f0-82dc-42dde27851f2",9,["D",1763914061415],[223],[197,299],["D",1763914061154],[222,224,225,226],[197],"e44268e8-d010-11f0-a5e7-42dde27851f2","index.ts",98,["D",1764743141601],39,"http","import { Hono } from \"https://esm.sh/hono@4.4.2\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport {\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport { createAnthropic } from \"npm:@ai-sdk/anthropic@latest\";\nimport { generateObject } from \"npm:ai@latest\";\nimport { z } from \"npm:zod@latest\";\nimport type {\n AnalyzeRequest,\n AnalyzeResponse,\n FoodItem,\n} from \"../shared/types.ts\";\n\nconst app = new Hono();\n\nconst foodItemsSchema = z.object({\n foodItems: z.array(\n z.object({\n name: z.string(),\n quantity: z.number(),\n }),\n ),\n});\n\nasync function computeImageHash(imageData: string): Promise {\n const binaryString = atob(imageData);\n const bytes = new Uint8Array(binaryString.length);\n for (let i = 0; i < binaryString.length; i++) {\n bytes[i] = binaryString.charCodeAt(i);\n }\n const hashBuffer = await crypto.subtle.digest(\"SHA-256\", bytes);\n const hashArray = Array.from(new Uint8Array(hashBuffer));\n return hashArray.map((b) => b.toString(16).padStart(2, \"0\")).join(\"\");\n}\n\ninterface CacheEntry {\n items: FoodItem[];\n timestamp: string;\n hash: string;\n}\n\napp.onError((err, _c) => {\n throw err;\n});\n\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\napp.post(\"/api/analyze\", async (c) => {\n try {\n const body = (await c.req.json()) as AnalyzeRequest;\n const { imageData, mediaType } = body;\n\n if (!imageData || !mediaType) {\n return c.json(\n {\n success: false,\n error: \"Missing imageData or mediaType\",\n } satisfies AnalyzeResponse,\n 400,\n );\n }\n\n const imageHash = await computeImageHash(imageData);\n const cacheKey = `food-analyzer:hash:${imageHash}`;\n\n const cachedResult = await blob.getJSON(cacheKey);\n if (cachedResult) {\n console.log(\"Returning cached result\");\n const textContent = cachedResult.items\n .map((item) => `${item.name} (${item.quantity})`)\n .join(\"\\n\");\n const response: AnalyzeResponse = {\n success: true,\n result: textContent,\n items: cachedResult.items,\n fromCache: true,\n };\n return c.json(response);\n }\n\n const anthropic = createAnthropic({\n apiKey: Deno.env.get(\"ANTHROPIC_API_KEY\"),\n });\n\n const { object: foodItemsObject } = await generateObject({\n model: anthropic(\"claude-haiku-4-5-20251001\"),\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text:\n \"List all the food items and products visible in this image.\",\n },\n { type: \"image\", image: imageData },\n ],\n },\n ],\n maxOutputTokens: 1024,\n schema: foodItemsSchema,\n });\n\n const cacheEntry: CacheEntry = {\n items: foodItemsObject.foodItems,\n timestamp: new Date().toISOString(),\n hash: imageHash,\n };\n await blob.setJSON(cacheKey, cacheEntry);\n\n const textContent = foodItemsObject.foodItems\n .map((item) => `${item.name} (${item.quantity})`)\n .join(\"\\n\");\n const response: AnalyzeResponse = {\n success: true,\n result: textContent,\n items: foodItemsObject.foodItems,\n fromCache: false,\n };\n return c.json(response);\n } catch (error) {\n console.error(\"Error analyzing image:\", error);\n return c.json(\n {\n success: false,\n error: error instanceof Error\n ? error.message\n : \"Unknown error occurred\",\n } satisfies AnalyzeResponse,\n 500,\n );\n }\n});\n\nexport default app.fetch;",[],[203,309],"e2f5097a-d004-11f0-b39e-42dde27851f2","ai.ts","f80cc500-c88e-11f0-99b9-42dde27851f2",82,["D",1764737985377],"import { createAnthropic } from \"npm:@ai-sdk/anthropic@latest\";\nimport { generateObject } from \"npm:ai@latest\";\nimport { z } from \"npm:zod@latest\";\n\nconst foodItemsSchema = z.object({\n\tfoodItems: z.array(\n\t\tz.object({\n\t\t\tname: z.string(),\n\t\t\tquantity: z.number(),\n\t\t}),\n\t),\n});\n\nconst anthropic = createAnthropic({\n\tapiKey: Deno.env.get(\"ANTHROPIC_API_KEY\"),\n});\n\nasync function main() {\n\tconst prompt = `List all the food items and products visible in this image. Format as a simple list. Return just the list.`;\n\n\tconst { object, usage } = await generateObject({\n\t\tmodel: anthropic(\"claude-haiku-4-5-20251001\"),\n\t\tmessages: [\n\t\t\t{ role: \"user\", content: prompt },\n\t\t\t{\n\t\t\t\trole: \"user\",\n\t\t\t\tcontent: [\n\t\t\t\t\t{\n\t\t\t\t\t\ttype: \"image\",\n\t\t\t\t\t\timage: \"imageData\",\n\t\t\t\t\t\tproviderOptions: {\n\t\t\t\t\t\t\tanthropic: { cacheControl: { type: \"ephemeral\" } },\n\t\t\t\t\t\t},\n\t\t\t\t\t},\n\t\t\t\t],\n\t\t\t},\n\t\t],\n\t\tmaxOutputTokens: 2048,\n\t\tschema: foodItemsSchema,\n\t});\n\n\tconsole.dir(object, { depth: null });\n\tconsole.dir(usage, { depth: null });\n}\n\nmain().catch(console.error);\n",[],[203,318],["D",1763914061250],[219,220],[203],["D",1763913777529],{"_97":96,"_104":100},{"_97":96,"_98":-5,"_99":100,"_18":56,"_101":102,"_103":25},{"_13":14,"_32":87,"_44":43,"_88":45,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":46,"_95":96},"ctx",{"_80":-5,"_123":365,"_366":367,"_368":369,"_370":25,"_371":25,"_372":25,"_373":60,"_374":-5,"_375":-7,"_376":-7,"_377":159,"_378":25,"_379":25,"_380":-5,"_381":25,"_382":25,"_383":25,"_384":-5},"ENV",{"_336":337,"_338":339,"_340":87,"_341":342,"_343":344,"_345":346,"_347":348,"_349":350,"_351":352,"_353":354,"_355":356,"_357":358,"_359":360,"_361":362,"_363":364},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","a3e067d4463eea85f6334f8e583e8516ae58c4f6","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v113