# Project export: AI-Powered Food Bank Management System This document was generated by HackStack to give an AI agent context about a hackathon project. Sections are labeled with their provenance; content marked as truncated was cut to keep this document small. ## Project metadata - Hackathon: Cal Hacks 12.0 - Tagline: Food banks lose time at intake. Our web app makes any phone a scanner: scan, auto-fill, add weight. Live inventory + instant CSVs for audits. Faster check-ins mean more families served, less waste. - Devpost: https://devpost.com/software/foodbank-automation - GitHub: https://github.com/ericrcwu001/calhacks - Demo: https://production.creao.ai/share?app=TW8zO4eq&utm_source=share&utm_medium=link - Video: https://www.youtube.com/embed/rw9_SdR0mUo?enablejsapi=1&hl=en_US&rel=0&start=&version=3&wmode=transparent - Result: winner (Creao: Best Designed Web App) - Team: 1 GitHub contributor(s) — eric (5 commits) ## Devpost submission (written by the team) No Devpost description available. ## README (from the GitHub repository) # Foodsafe - AI-Powered Food Bank Management System A comprehensive food bank management system that leverages AI to streamline inventory management, food recognition, and recipe generation. Built with React, TypeScript, and integrated with multiple AI services. #### CalHacks 12.0 Creao.AI Best Design Winners #### Created by Eric Wu, Ethan Lai, Maleeka Raddygala, and William Wang - UI and Integration by Eric - Recipe Generation & Inventory Logging Algo by Ethan - ML Image Processing by Maleeka - Barcode Scanning Database by William Devpost: [Calhacks 12.0 Hackathon Submission](https://devpost.com/software/foodbank-automation) ## 🚀 Live Demo **[Try Creao Now](https://production.creao.ai/share?app=TW8zO4eq&utm_source=share&utm_medium=link)** ## ✨ Key Features ### 📦 Smart Inventory Management - **Real-time inventory tracking** with quantity management - **Advanced filtering** by dietary preferences and allergens - **Low stock alerts** and automated notifications - **Nutritional information** display for each item - **Image support** with automatic product photos ### 📸 AI-Powered Food Recognition - **Barcode scanning** with OpenFoodFacts integration - **Computer vision** for automatic food detection from photos - **Nutritional analysis** using ImgRecModel AI - **Product information** lookup with detailed nutritional data - **Allergen detection** and dietary tag classification ### 🍳 Intelligent Recipe Generation - **AI-generated recipes** based on available inventory - **Dietary restriction support** (vegetarian, vegan, gluten-free, etc.) - **Serving size optimization** with inventory validation - **Recipe bundling** for efficient meal planning - **Automatic ingredient deduction** when recipes are used ### 🔧 Technical Features - **Modern React architecture** with TypeScript - **Responsive design** optimized for mobile and desktop - **Real-time data synchronization** with local storage - **RESTful API integration** with multiple AI services - **Comprehensive error handling** and user feedback ## 🏗️ Architecture ### Frontend (Creao_Codebase) - **React 19** with TypeScript - **TanStack Router** for navigation - **TanStack Query** for data management - **Radix UI** components with Tailwind CSS - **Local storage** with IndexedDB for offline capability ### Backend APIs - **Recipe Generation API** - Google Gemini AI integration - **OpenFoodFacts API** - Product database integration ## 🚀 Getting Started ### API Setup #### Recipe Generation API ```bash cd APIs/API_generateRecipes pip install -r requirements.txt # Set GOOGLE_API_KEY environment variable ``` #### OpenFoodFacts API ```bash cd APIs/API_openFoodFacts npm install # Deploy to Vercel ``` ## 📱 Usage Guide ### Adding Items to Inventory 1. **Camera Tab**: Take photos of food items for AI recognition 2. **Barcode Tab**: Enter product barcodes for instant lookup 3. **Review**: Edit detected information before saving 4. **Save**: Items are automatically added to inventory ### Managing Inventory 1. **View Items**: Browse all inventory with search and filters 2. **Adjust Quantities**: Use quick adjust buttons or set exact amounts 3. **Nutritional Info**: View detailed nutritional data for each item 4. **Allergen Warnings**: See allergen information and dietary tags ### Generating Recipes 1. **Recipes Tab**: Access the recipe generation interface 2. **Set Servings**: Specify total number of servings needed 3. **AI Generation**: System generates 3 unique recipes from available inventory 4. **Review Recipes**: Check ingredients and cooking instructions 5. **Make Recipe**: Deduct ingredients from inventory when cooking ## 🔧 Configuration ### Environment Variables ```bash # Recipe Generation API GOOGLE_API_KEY=your_google_api_key API_KEY=your_optional_api_key # Barcode Scanner API GOOGLE_APPLICATION_CREDENTIALS=path_to_service_account.json # OpenFoodFacts API # No authentication required ``` ### API Endpoints - **Recipe Generation**: `POST /api/generate_recipes` - **OpenFoodFacts**: `GET /v1/products/{barcode}` ## 🛠️ Development ### Project Structure ``` calhacks/ ├── Creao_Codebase/ # React frontend application │ ├── src/ │ │ ├── components/ # UI components │ │ ├── hooks/ # Custom React hooks │ │ ├── routes/ # Application routes │ │ └── lib/ # Utilities and types ├── APIs/ # Backend API services │ ├── API_generateRecipes/ # Recipe generation service │ └── API_openFoodFacts/ # Product lookup service ``` ### Available Scripts ```bash # Frontend development npm run dev # Start development server npm run build # Build for production npm run check # Run type checking and linting npm run test # Run test suite # API development python main.py # Start API server python test_api.py # Run API tests ``` ## 📄 License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## 🙏 Acknowledgments - **OpenFoodFacts** for comprehensive product database - **Google Gemini AI** for intelligent recipe generation - **ImgRecModel** for nutritional analysis - **Creao** platform for rapid application development --- **Built with ❤️ for food banks and community organizations** ## Detected evidence (automated analysis) Indexed codebase: 200 recognized source files, 726 KB. - CSS (language) — detected in the code - Express (technology) — detected in the code - HTML (language) — detected in the code - JavaScript (language) — detected in the code - Python (language) — detected in the code - React (technology) — detected in the code - Tailwind CSS (technology) — detected in the code - TypeScript (language) — detected in the code - Flask (technology) — claimed on Devpost, not found in the code - Google Gemini (technology) — claimed on Devpost, not found in the code - Node.js (technology) — claimed on Devpost, not found in the code - Vercel (technology) — claimed on Devpost, not found in the code ## Codebase structure (from repository index) ### Files (120 of 240) ``` .DS_Store .gitignore APIs/API_generateRecipes/.gitignore APIs/API_generateRecipes/API_USAGE.md APIs/API_generateRecipes/api/.gitignore APIs/API_generateRecipes/api/generate_recipes.py APIs/API_generateRecipes/api/index.py APIs/API_generateRecipes/api/models.py APIs/API_generateRecipes/api/recipe_generator.py APIs/API_generateRecipes/api/test.py APIs/API_generateRecipes/deploy.sh APIs/API_generateRecipes/DEPLOYMENT_SUCCESS.md APIs/API_generateRecipes/EDGE_CASE_HANDLING.md APIs/API_generateRecipes/env.example APIs/API_generateRecipes/openapi.json APIs/API_generateRecipes/QUICKSTART.md APIs/API_generateRecipes/README.md APIs/API_generateRecipes/requirements.txt APIs/API_generateRecipes/test_api.py APIs/API_generateRecipes/test_comprehensive.py APIs/API_generateRecipes/test_debug.py APIs/API_generateRecipes/test_different.py APIs/API_generateRecipes/test_edge_cases.py APIs/API_generateRecipes/test_gemini_basic.py APIs/API_generateRecipes/test_gemini_local.py APIs/API_generateRecipes/test_input_minimal.json APIs/API_generateRecipes/test_input_vegan.json APIs/API_generateRecipes/test_input_vegetarian.json APIs/API_generateRecipes/test_input.json APIs/API_generateRecipes/test_modified.py APIs/API_generateRecipes/test_nutrition_full.py APIs/API_generateRecipes/TEST_RESULTS.md APIs/API_generateRecipes/test_servings_demo.py APIs/API_generateRecipes/test_target_servings.json APIs/API_generateRecipes/vercel.json APIs/API_ImageRecognitionAI/.gitignore APIs/API_ImageRecognitionAI/.vercelignore APIs/API_ImageRecognitionAI/API_DOCUMENTATION.md APIs/API_ImageRecognitionAI/API_URLS.md APIs/API_ImageRecognitionAI/api/image-recognition.py APIs/API_ImageRecognitionAI/DEPLOYMENT.md APIs/API_ImageRecognitionAI/FINAL_STATUS.md APIs/API_ImageRecognitionAI/HOW_TO_USE.md APIs/API_ImageRecognitionAI/openapi.json APIs/API_ImageRecognitionAI/QUICK_START.md APIs/API_ImageRecognitionAI/README.md APIs/API_ImageRecognitionAI/requirements.txt APIs/API_ImageRecognitionAI/SUMMARY.md APIs/API_ImageRecognitionAI/test_local.py APIs/API_ImageRecognitionAI/TROUBLESHOOTING.md APIs/API_ImageRecognitionAI/UPDATED_FEATURES.md APIs/API_openFoodFacts/.gitignore APIs/API_openFoodFacts/creao-api-config.json APIs/API_openFoodFacts/env.example APIs/API_openFoodFacts/openapi-spec.json APIs/API_openFoodFacts/package.json APIs/API_openFoodFacts/README-Creo-Integration.md APIs/API_openFoodFacts/README.md APIs/API_openFoodFacts/server.js APIs/API_openFoodFacts/test-api.js APIs/API_openFoodFacts/vercel.json Creao_Codebase/biome.json Creao_Codebase/components.json Creao_Codebase/config/eslint/base.config.js Creao_Codebase/config/eslint/eslint.mcp.config.js Creao_Codebase/config/eslint/eslint.radix.config.js Creao_Codebase/config/eslint/index.js Creao_Codebase/config/eslint/rules/mcp-integration.js Creao_Codebase/config/eslint/rules/radix-ui.js Creao_Codebase/config/eslint/validate-configs.js Creao_Codebase/config/hooks/display_hooks.sh Creao_Codebase/config/hooks/dump/ensure_check_ok.sh Creao_Codebase/config/hooks/ensure_build_ok.sh Creao_Codebase/config/hooks/ensure_check_ok.sh Creao_Codebase/config/hooks/file_tracker.sh Creao_Codebase/config/hooks/git_diff.sh Creao_Codebase/config/hooks/resume_prompt_injection.sh Creao_Codebase/config/hooks/startup_cleanup.sh Creao_Codebase/config/hooks/startup_prompt_injection.sh Creao_Codebase/config/hooks/subagent_post_use.sh Creao_Codebase/config/scripts/startup.sh Creao_Codebase/config/vite/creao-plugin.mjs Creao_Codebase/delete-marmite.ts Creao_Codebase/eslint.config.js Creao_Codebase/index.html Creao_Codebase/package.json Creao_Codebase/public/manifest.json Creao_Codebase/public/robots.txt Creao_Codebase/src/components/api/schemas/ImgRecogModel.json Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/ApiError.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/ApiRequestOptions.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/ApiResult.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/BaseHttpRequest.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/CancelablePromise.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/FetchHttpRequest.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/OpenAPI.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/core/request.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/ImgRecogModel.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/index.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/models/CreaoApiIdHeader.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/models/CreaoApiNameHeader.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/models/CreaoApiPathHeader.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/models/Error.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/models/FoodItem.ts Creao_Codebase/src/components/api/schemas/ImgRecogModel/services/FoodRecognitionService.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat.json Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/ApiError.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/ApiRequestOptions.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/ApiResult.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/BaseHttpRequest.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/CancelablePromise.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/FetchHttpRequest.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/OpenAPI.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/core/request.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/index.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/models/CreaoApiIdHeader.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/models/CreaoApiNameHeader.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/models/CreaoApiPathHeader.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/OpenAIGPTChat.ts Creao_Codebase/src/components/api/schemas/OpenAIGPTChat/services/DefaultService.ts [120 more files omitted for size] ``` ### Dependencies - APIs/API_generateRecipes/requirements.txt: requests@==2.31.0 - APIs/API_ImageRecognitionAI/requirements.txt: google-genai, pandas, Pillow, requests, werkzeug - APIs/API_openFoodFacts/package.json: axios@^1.6.0, cors@^2.8.5, express@^4.18.2, lru-cache@^10.0.0 - Creao_Codebase/package.json: @babel/plugin-syntax-typescript@^7.27.1, @babel/plugin-transform-react-jsx@^7.27.1, @babel/plugin-transform-react-jsx-development@^7.27.1, @biomejs/biome@1.9.4, @fortawesome/fontawesome-svg-core@^7.0.0, @fortawesome/free-brands-svg-icons@^7.0.0, @fortawesome/react-fontawesome@^0.2.3, @hookform/resolvers@^5.0.1, @protobuf-ts/runtime@^2.11.1, @radix-ui/react-accordion@^1.2.11, @radix-ui/react-alert-dialog@^1.1.14, @radix-ui/react-aspect-ratio@^1.1.7, @radix-ui/react-avatar@^1.1.10, @radix-ui/react-checkbox@^1.3.2, @radix-ui/react-collapsible@^1.1.11, @radix-ui/react-context-menu@^2.2.15, @radix-ui/react-dialog@^1.1.14, @radix-ui/react-dropdown-menu@^2.1.15, @radix-ui/react-hover-card@^1.1.14, @radix-ui/react-label@^2.1.7, @radix-ui/react-menubar@^1.1.15, @radix-ui/react-navigation-menu@^1.2.13, @radix-ui/react-popover@^1.1.14, @radix-ui/react-progress@^1.1.7, @radix-ui/react-radio-group@^1.3.7, @radix-ui/react-scroll-area@^1.2.9, @radix-ui/react-select@^2.2.5, @radix-ui/react-separator@^1.1.7, @radix-ui/react-slider@^1.3.5, @radix-ui/react-slot@^1.2.3, @radix-ui/react-switch@^1.2.5, @radix-ui/react-tabs@^1.1.12, @radix-ui/react-toggle@^1.1.9, @radix-ui/react-toggle-group@^1.1.10, @radix-ui/react-tooltip@^1.2.7, @tailwindcss/vite@^4.0.6, @tanstack/react-query@^5.80.3, @tanstack/react-router@^1.114.3, @tanstack/react-router-devtools@^1.114.3, @tanstack/router-plugin@^1.114.3, @testing-library/dom@^10.4.0, @testing-library/jest-dom@^6.6.3, @testing-library/react@^16.2.0, @types/lodash@^4.17.20, @types/react@^19.0.8, @types/react-dom@^19.0.3, @typescript-eslint/eslint-plugin@^8.38.0, @typescript-eslint/parser@^8.38.0, @typescript/native-preview@^7.0.0-dev.20250913.1, @vitejs/plugin-react@^4.3.4, class-variance-authority@^0.7.1, clsx@^2.1.1, cmdk@^1.1.1, date-fns@^3.6.0, embla-carousel-react@^8.6.0, eslint@^9.32.0, eslint-plugin-react@^7.37.5, eslint-plugin-react-hooks@^5.2.0, input-otp@^1.4.2, jsdom@^26.0.0, lodash@^4.17.21, lucide-react@^0.476.0, next-themes@^0.4.6, openapi-fetch@^0.14.0, openapi-react-query@^0.5.0, openapi-typescript@^7.10.1, openapi-typescript-codegen@^0.29.0, react@^19.0.0, react-day-picker@^9.8.0, react-dom@^19.0.0, react-hook-form@^7.57.0, react-resizable-panels@^3.0.2, recharts@^2.15.3, sonner@^2.0.6, tailwind-merge@^3.0.2, tailwindcss@^4.0.6, tailwindcss-animate@^1.0.7, typescript@~5.8.3, vaul@^1.1.2, vite@npm:rolldown-vite@^7.1.9, vite-plugin-babel@^1.3.2, vite-plugin-svgr@^4.5.0, vitest@^3.2.4, web-vitals@^4.2.4, zod@^3.25.50 ### Recent commits (newest first) - Update README with Devpost link and demo - Update README.md - Merge pull request #1 from lai-ethan/main - Update README with team credits and awards - uploaded image rec API - Remove multiple files and directories from the Calhacks project, including configuration, assets, and components, while marking the barcode scanner subproject as dirty. - complete done and dusted - adding images - first commit ## Key source files (fetched from GitHub, selected and truncated for size) ### APIs/API_ImageRecognitionAI/SUMMARY.md ```markdown # Image Recognition API - Summary ## What It Does This API takes an image file as input and returns a pandas DataFrame (as CSV) containing the edible items detected in the image and their counts. ## Request Format - **Method**: POST - **Content-Type**: multipart/form-data - **Body**: Form data with an `image` field containing the image file - **Acceptable image formats**: JPEG, PNG, GIF, etc. ## Response Format Returns CSV text with two columns: - `label`: Name of the food item - `count`: Number of that item detected Example response: ``` label,count apple,3 orange,2 banana,1 ``` ## Example Usage ```bash curl -X POST https://your-domain.vercel.app/api/image-recognition \ -F "image=@/path/to/apples_and_oranges.jpg" ``` ## How It Works 1. Receives image file via multipart/form-data POST request 2. Processes image using Google Gemini AI (gemini-2.5-flash model) 3. Identifies edible objects and counts them 4. Returns results as a pandas DataFrame in CSV format ## Deployment Deploy to Vercel using: ```bash vercel ``` Set the `GOOGLE_API_KEY` environment variable in Vercel dashboard. ``` ### APIs/API_ImageRecognitionAI/UPDATED_FEATURES.md ```markdown # ✅ API Updated with Nutritional Information! ## New Features Your API now returns comprehensive nutritional information for each food item! ### Updated Response Format The CSV now includes these columns: - `label` - Food item name - `count` - Number of items - `calories_kcal` - Total calories - `protein_g` - Protein in grams - `carbohydrates_g` - Carbohydrates in grams - `fat_g` - Fat in grams - `sodium_mg` - Sodium in milligrams ### Example Response ```csv label,count,calories_kcal,protein_g,carbohydrates_g,fat_g,sodium_mg apple,10,950,5.0,250.0,3.0,20 orange,5,310,6.0,77.0,1.0,5 ``` ### How It Works 1. **Identifies food items** in the image 2. **Counts each item** 3. **Looks up nutritional values** for each food type 4. **Multiplies by count** to get total nutrition 5. **Returns CSV** with all nutritional data ### API Endpoint ``` https://vercel-2esjabz4i-maleekas-projects.vercel.app/api/image-recognition ``` ### Test It ```bash curl -X POST https://vercel-2esjabz4i-maleekas-projects.vercel.app/api/image-recognition \ --data-binary @your_image.jpg ``` ## 🎉 Enhanced! Your API now provides complete nutritional analysis of food items in images! ``` ### Creao_Codebase/package.json ``` { "name": "basic_template", "private": true, "type": "module", "scripts": { "dev": "vite --port 3000", "start": "vite --port 3000", "build": "npm run check:safe && vite build", "serve": "vite preview", "test": "vitest run", "check": "tsgo --noEmit && npm run lint:radix -- --fix && npm run format", "check:safe": "timeout 20 npm run check || (echo 'Check timed out after 20 seconds' && exit 1)", "format": "biome check --write --unsafe", "format:quiet": "biome check --write --unsafe --log-level=warn", "lint:radix": "grep -l -r ' , ); } // If you want to start measuring performance in your app, pass a function // to log results (for example: reportWebVitals(console.log)) // or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals reportWebVitals(); ``` ### APIs/API_openFoodFacts/server.js ```javascript // server.js // A tiny Node.js API that proxies & normalizes Open Food Facts, // with CORS allowlist, caching, and consistent error responses. // // Usage: // npm i express axios lru-cache cors // node server.js // // Env vars (optional): // PORT=8080 // OFF_BASE=https://world.openfoodfacts.org // USER_AGENT="my-app/1.0 (you@domain.com)" // ALLOWED_ORIGINS="https://yourapp.creao.ai,http://localhost:5173" import express from "express"; import axios from "axios"; import { LRUCache } from "lru-cache"; import cors from "cors"; const app = express(); app.disable("x-powered-by"); // ---------- Config ---------- const PORT = process.env.PORT || 8080; const OFF_BASE = process.env.OFF_BASE || "https://world.openfoodfacts.org"; const USER_AGENT = process.env.USER_AGENT || "off-proxy/1.0 (contact@example.com)"; const ALLOWED = (process.env.ALLOWED_ORIGINS || "https://yourapp.creao.ai,https://yourdomain.com,https://dede3phc22dgx.cloudfront.net,https://*.creao.ai,http://localhost:5173,http://localhost:5174") .split(",") .map(s => s.trim()) .filter(Boolean); // HTTP client const http = axios.create({ baseURL: OFF_BASE, headers: { "User-Agent": USER_AGENT, "Accept": "application/json" }, timeout: 8000, }); // Simple in-memory cache const cache = new LRUCache({ max: 1000, ttl: 1000 * 60 * 10, // 10 minutes }); // ---------- CORS (allowlist) ---------- app.use(cors({ origin: function(origin, callback) { // Allow requests with no origin (like mobile apps or curl requests) if (!origin) return callback(null, true); // Check if origin is in allowed list if (ALLOWED.includes(origin)) { return callback(null, true); } // Allow all creao.ai subdomains if (origin.includes('creao.ai') || origin.includes('cloudfront.net')) { return callback(null, true); } // For development, allow localhost if (origin.includes('localhost') || origin.includes('127.0.0.1')) { return callback(null, true); } console.log('CORS blocked origin:', origin); return callback(new Error("CORS: Origin not allowed")); }, credentials: true, methods: ["GET", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"], allowedHeaders: ["Content-Type", "Authorization", "X-Requested-With", "Accept", "Origin"], exposedHeaders: ["Content-Length", "ETag"], maxAge: 86400, })); app.options("*", cors()); // ---------- Middleware ---------- app.use(express.json()); // ---------- Helpers ---------- function normalizeProduct(p) { if (!p) return null; const frontImage = p.selected_images?.front?.display; const imageUrl = frontImage ? Object.values(frontImage)[0] : null; // Extract nutrition data const nutriments = p.nutriments || {}; return { code: p.code ?? null, product_name_en: p.product_name_en ?? null, generic_name_en: p.generic_name_en ?? null, quantity: p.quantity ?? null, product_quantity: p.product_quantity ?? null, product_quantity_unit: p.product_quantity_unit ?? null, serving_size: p.serving_size ?? null, serving_quantity: p.serving_quantity ?? null, serving_quantity_unit: p.serving_quantity_unit ?? null, ingredients: p.ingredients ?? null, ingredients_text_en: p.ingredients_text_en ?? null, ingredients_analysis_tags: p.ingredients_analysis_tags ?? null, allergens_tags: p.allergens_tags ?? null, image_url: imageUrl, brands: p.brands ?? null, categories: p.categories ?? null, // Nutrition data calories: nutriments["energy-kcal"] ?? null, calories_unit: nutriments["energy-kcal_unit"] ?? "kcal", protein: nutriments.proteins ?? null, protein_unit: nutriments.proteins_unit ?? "g", carbohydrates: nutriments.carbohydrates ?? null, carbohydrates_unit: nutriments.carbohydrates_unit ?? "g", fiber: nutriments.fiber ?? null, fiber_unit: nutriments.fiber_unit ?? "g", sugars: nutriments.sugars ?? null, sugars_unit: nutriments.sugars_unit ?? "g", fat: nutriments.fat ?? null, fat_unit: nutriments.fat_unit ?? "g", sodium: nutriments.sodium ?? null, sodium_unit: nutriments.sodium_unit ?? "g", source: "openfoodfacts", }; } function problem({ status = 500, title = "Internal Server Error", detail, instance }) { return { type: "about:blank", title, status, detail: detail || undefined, instance: instance || undefined, }; } // ---------- Routes ---------- // Health check app.get("/v1/health", (req, res) => { res.json({ status: "ok", upstream: OFF_BASE }); }); // Get a single product by barcode app.get("/v1/products/:barcode", async (req, res, next) => { try { const { barcode } = req.params; const key = `prod:${barcode}`; if (cache.has(key)) return res.json(cache.get(key)); const fields = [ "code", "product_name_en", "generic_name_en", "quantity", "product_quantity", "product_quantity_unit", "serving_size", "serving_quantity", "serving_quantity_unit", "ingredients", "ingredients_text_en", "ingredients_analysis_tags", "allergens_tags", "selected_images", "brands", "categories", "nutriments", ].join(","); const { data } = await http.get(`/api/v2/product/${encodeURIComponent(barcode)}.json`, { params: { fields }, }); if (!data || !data.product) { return res.status(404).json(problem({ status: 404, title: "Not Found", detail: `Barcode ${barcode} not found`, instance: req.originalUrl, })); } const normalized = normalizeProduct(data.product); cache.set(key, normalized); res.json(normalized); } catch (err) { next(err); } }); // Batch lookup by codes (?codes=comma,separated) app.get("/v1/products", async (req, res, next) => { try { const codes = String(req.query.codes || "").trim(); if (!codes) { return res.status(400).json(problem({ status: 400, [truncated — 1930 more characters] ``` ### APIs/API_generateRecipes/api/index.py ```python from http.server import BaseHTTPRequestHandler import json class handler(BaseHTTPRequestHandler): def do_GET(self): self.send_response(200) self.send_header('Content-type', 'application/json') self.end_headers() self.wfile.write(json.dumps({'message': 'Hello from Python!'}).encode()) return ``` ### Creao_Codebase/config/eslint/index.js ```javascript /** * ESLint Configuration Index * * Centralized configuration management for different linting contexts. * This provides a single entry point for all ESLint configurations. */ import baseConfig from './base.config.js'; import mcpConfig from './eslint.mcp.config.js'; import radixConfig from './eslint.radix.config.js'; import radixRules from './rules/radix-ui.js'; export { baseConfig, mcpConfig, radixConfig }; // Default export combines base configuration with Radix validation export default [ ...baseConfig, { files: ['**/*.{ts,tsx}'], plugins: { 'radix-custom': { rules: radixRules } }, rules: { 'radix-custom/no-empty-select-item': 'error' } } ]; ``` [189 more indexed source files omitted to keep this export small. The full file list is in the Codebase structure section above.]