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\"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n\t\"compilerOptions\": {\n\t\t\"lib\": [\n\t\t\t\"dom\",\n\t\t\t\"dom.iterable\",\n\t\t\t\"dom.asynciterable\",\n\t\t\t\"deno.ns\",\n\t\t\t\"deno.unstable\"\n\t\t],\n\t\t\"noImplicitAny\": false,\n\t\t\"strict\": false,\n\t\t\"types\": [\"https://www.val.town/types/valtown.d.ts\"]\n\t},\n\t\"experimental\": {\n\t\t\"unstable-node-globals\": true,\n\t\t\"unstable-sloppy-imports\": true,\n\t\t\"unstable-temporal\": true,\n\t\t\"unstable-worker-options\": true\n\t},\n\t\"imports\": {\n\t\t\"@ai-sdk/anthropic\": \"npm:@ai-sdk/anthropic@^2.0.45\",\n\t\t\"@biomejs/biome\": \"npm:@biomejs/biome@^2.3.5\",\n\t\t\"ai\": \"npm:ai@^5.0.100\",\n\t\t\"od\": \"npm:od@^6.0.2\",\n\t\t\"zod\": \"npm:zod@^4.1.12\"\n\t},\n\t\"lint\": {\n\t\t\"files\": {\n\t\t\t\"include\": [\"deno:/https/esm.town/**/*\"]\n\t\t},\n\t\t\"rules\": {\n\t\t\t\"exclude\": [\"no-explicit-any\", \"no-import-prefix\"]\n\t\t}\n\t},\n\t\"lock\": false,\n\t\"nodeModulesDir\": \"auto\"\n}\n","label",[135],"6d3e0cac-d010-11f0-a27e-42dde27851f2",["D",1764742941912],[28],"3c65a7d4-c886-11f0-ac2f-42dde27851f2","CLAUDE.md","3c65a89c-c886-11f0-ac2f-42dde27851f2",5,["D",1763913931206],0,"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 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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}\n",[],[177,242],["D",1763914061333],[215],[177],"6d369fd0-d010-11f0-98a4-42dde27851f2","style.css","8a23ee72-c886-11f0-901a-42dde27851f2",91,["D",1764742941871],"/* Additional custom styles if needed */\nbody {\n\tfont-family:\n\t\t-apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Oxygen, Ubuntu,\n\t\tCantarell, sans-serif;\n}\n\n/* Smooth animations */\n@keyframes spin {\n\tfrom {\n\t\ttransform: rotate(0deg);\n\t}\n\tto {\n\t\ttransform: rotate(360deg);\n\t}\n}\n\n.animate-spin {\n\tanimation: spin 1s linear infinite;\n}\n",[],[184,254],"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",[],[184,262],"8a11cfbc-c886-11f0-87f6-42dde27851f2","index.html","8a11d0ac-c886-11f0-87f6-42dde27851f2",11,["D",1763914061589],"\n\n\n \n \n Food Image Analyzer\n \n \n \n\n\n

\n \n\n\n",[],[184,270],"adbdc242-d00e-11f0-a742-42dde27851f2","App.tsx","8a15397c-c886-11f0-925b-42dde27851f2","89f50788-c886-11f0-82dc-42dde27851f2",90,["D",1764742191142],15,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\n\nimport {\n\tCheck,\n\tCopy,\n\tImageUp,\n\tX,\n} from \"https://esm.sh/lucide-react@0.475.0?deps=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}\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 [analyzing, setAnalyzing] = useState(false);\n\tconst [history, setHistory] = useState([]);\n\tconst [error, setError] = useState(null);\n\tconst [copied, setCopied] = useState(false);\n\tconst fileInputRef = useRef(null);\n\tconst objectUrlsRef = useRef>(new Set());\n\n\tconst handleFileSelect = async (e: React.ChangeEvent) => {\n\t\tconst file = e.target.files?.[0];\n\t\tif (!file) return;\n\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\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\tsetAnalyzing(true);\n\t\ttry {\n\t\t\tconst { base64, mediaType } = await compressImage(file);\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: AnalyzeResponse = await response.json();\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};\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\tsetAnalyzing(false);\n\t\t}\n\t};\n\n\tconst handleReset = () => {\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 handleCopy = async () => {\n\t\tif (history.length === 0) return;\n\n\t\tconst rows: string[] = [\"Image\\tFood Item\\tQuantity\"];\n\n\t\thistory.forEach((batch, batchIndex) => {\n\t\t\tbatch.items.forEach((item) => {\n\t\t\t\trows.push(`${batchIndex + 1}\\t${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\tsetTimeout(() => setCopied(false), 2000);\n\t\t} catch (err) {\n\t\t\tconsole.error(\"Failed to copy:\", err);\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\tFood Image Analyzer\n\t\t\t

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

Click to upload an image

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

JPEG, PNG, GIF, or WebP

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

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

\n\n\t\t\t{/* Image Preview */}\n\t\t\t{imagePreview && (\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\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\t\t\t)}\n\n\t\t\t{/* Loading State */}\n\t\t\t{analyzing && (\n\t\t\t\t

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

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

Analyzing image...

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

\n\t\t\t\t

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

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

{error}

\n\t\t\t\t

\n\t\t\t)}\n\n\t\t\t{/* History Table */}\n\t\t\t{history.length > 0 && (\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\tFood Items History\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{copied ? (\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\tCopied!\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<>\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\tCopy\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

\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\t\n\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\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\n\t\t\t\t\t\t\t\t\t{history.flatMap((batch) =>\n\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\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\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

\n\t\t\t\t\t\t\t\t\t\t\tImage\n\t\t\t\t\t\t\t\t\t\t	\n\t\t\t\t\t\t\t\t\t\t\tFood Item\n\t\t\t\t\t\t\t\t\t\t	\n\t\t\t\t\t\t\t\t\t\t\tQuantity\n\t\t\t\t\t\t\t\t\t\t
\n\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 handleViewImage(batch.imageUrl)}\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tclassName=\"text-blue-600 hover:text-blue-800 underline text-sm\"\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\tView Image\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\t\t\t\t\t	{item.name}	\n\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

\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);\n}\n",[],[184,287,278],"components","89f506d4-c886-11f0-82dc-42dde27851f2",9,["D",1763914061415],[210],[184,287],["D",1763914061154],[209,211,212,213],[184],"6d3ac31c-d010-11f0-bd76-42dde27851f2","index.ts",92,["D",1764742941886],"http","import { Hono } from \"https://esm.sh/hono@4.4.2\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport {\n\treadFile,\n\tserveFile,\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\tAnalyzeRequest,\n\tAnalyzeResponse,\n\tFoodItem,\n} from \"../shared/types.ts\";\n\nconst app = new Hono();\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\nasync function computeImageHash(imageData: string): Promise {\n\tconst binaryString = atob(imageData);\n\tconst bytes = new Uint8Array(binaryString.length);\n\tfor (let i = 0; i < binaryString.length; i++) {\n\t\tbytes[i] = binaryString.charCodeAt(i);\n\t}\n\tconst hashBuffer = await crypto.subtle.digest(\"SHA-256\", bytes);\n\tconst hashArray = Array.from(new Uint8Array(hashBuffer));\n\treturn hashArray.map((b) => b.toString(16).padStart(2, \"0\")).join(\"\");\n}\n\ninterface CacheEntry {\n\titems: FoodItem[];\n\ttimestamp: string;\n\thash: string;\n}\n\napp.onError((err, _c) => {\n\tthrow 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\tconst html = await readFile(\"/frontend/index.html\", import.meta.url);\n\treturn c.html(html);\n});\n\napp.post(\"/api/analyze\", async (c) => {\n\ttry {\n\t\tconst body = (await c.req.json()) as AnalyzeRequest;\n\t\tconst { imageData, mediaType } = body;\n\n\t\tif (!imageData || !mediaType) {\n\t\t\treturn c.json(\n\t\t\t\t{\n\t\t\t\t\tsuccess: false,\n\t\t\t\t\terror: \"Missing imageData or mediaType\",\n\t\t\t\t} satisfies AnalyzeResponse,\n\t\t\t\t400,\n\t\t\t);\n\t\t}\n\n\t\tconst imageHash = await computeImageHash(imageData);\n\t\tconst cacheKey = `food-analyzer:hash:${imageHash}`;\n\n\t\tconst cachedResult = await blob.getJSON(cacheKey);\n\t\tif (cachedResult) {\n\t\t\tconst textContent = cachedResult.items\n\t\t\t\t.map((item) => `${item.name} (${item.quantity})`)\n\t\t\t\t.join(\"\\n\");\n\t\t\tconst response: AnalyzeResponse = {\n\t\t\t\tsuccess: true,\n\t\t\t\tresult: textContent,\n\t\t\t\titems: cachedResult.items,\n\t\t\t\tfromCache: true,\n\t\t\t};\n\t\t\treturn c.json(response);\n\t\t}\n\n\t\tconst anthropic = createAnthropic({\n\t\t\tapiKey: Deno.env.get(\"ANTHROPIC_API_KEY\"),\n\t\t});\n\n\t\tconst { object: foodItemsObject } = await generateObject({\n\t\t\tmodel: anthropic(\"claude-haiku-4-5-20251001\"),\n\t\t\tmessages: [\n\t\t\t\t{\n\t\t\t\t\trole: \"user\",\n\t\t\t\t\tcontent: [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\ttype: \"text\",\n\t\t\t\t\t\t\ttext: \"List all the food items and products visible in this image.\",\n\t\t\t\t\t\t},\n\t\t\t\t\t\t{ type: \"image\", image: imageData },\n\t\t\t\t\t],\n\t\t\t\t},\n\t\t\t],\n\t\t\tmaxOutputTokens: 1024,\n\t\t\tschema: foodItemsSchema,\n\t\t});\n\n\t\tconst cacheEntry: CacheEntry = {\n\t\t\titems: foodItemsObject.foodItems,\n\t\t\ttimestamp: new Date().toISOString(),\n\t\t\thash: imageHash,\n\t\t};\n\t\tawait blob.setJSON(cacheKey, cacheEntry);\n\n\t\tconst textContent = foodItemsObject.foodItems\n\t\t\t.map((item) => `${item.name} (${item.quantity})`)\n\t\t\t.join(\"\\n\");\n\t\tconst response: AnalyzeResponse = {\n\t\t\tsuccess: true,\n\t\t\tresult: textContent,\n\t\t\titems: foodItemsObject.foodItems,\n\t\t\tfromCache: false,\n\t\t};\n\t\treturn c.json(response);\n\t} catch (error) {\n\t\tconsole.error(\"Error analyzing image:\", error);\n\t\treturn c.json(\n\t\t\t{\n\t\t\t\tsuccess: false,\n\t\t\t\terror:\n\t\t\t\t\terror instanceof Error ? error.message : \"Unknown error occurred\",\n\t\t\t} satisfies AnalyzeResponse,\n\t\t\t500,\n\t\t);\n\t}\n});\n\nexport default app.fetch;\n",[],[190,297],"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",[],[190,305],["D",1763914061250],[206,207],[190],["D",1763913777529],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":54,"_100":101,"_102":25},{"_13":85,"_32":86,"_42":41,"_87":43,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":44,"_94":95},"ctx",{"_78":-5,"_122":352,"_353":354,"_355":356,"_357":25,"_358":25,"_359":25,"_360":58,"_361":-5,"_362":-7,"_363":-7,"_364":153,"_365":25,"_366":25,"_367":-5,"_368":25,"_369":25,"_370":25,"_371":-5},"ENV",{"_323":324,"_325":326,"_327":86,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","71c1b20804b3232a7e513be260cfffc1932a9e97","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"]

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