✨ Features: - Camera OCR card scanning with Tesseract.js - Beautiful glowing card effects and animations - Intelligent card matching and recognition - Mobile-responsive design with Tailwind CSS 🏗️ Architecture: - Frontend: React TypeScript application - Backend: Vercel Functions (replacing FastAPI) - Database: JSON file with exported card data - Deployment: Single Vercel project 📁 Structure: - api/ - Vercel Functions backend endpoints - src/ - React frontend components and logic - src/data/cards.json - Card database (12 cards) - vercel.json - Optimized Vercel configuration 💰 Cost: /bin/zsh additional (uses existing Vercel Pro) 🚀 Ready for immediate Vercel deployment
27 lines
687 B
TypeScript
27 lines
687 B
TypeScript
import { NextRequest, NextResponse } from 'next/server'
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export default async function handler(req: NextRequest) {
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// Enable CORS
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const headers = {
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'Access-Control-Allow-Origin': '*',
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'Access-Control-Allow-Methods': 'GET, OPTIONS',
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'Access-Control-Allow-Headers': 'Content-Type, Authorization',
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}
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if (req.method === 'OPTIONS') {
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return new NextResponse(null, { status: 200, headers })
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}
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return new NextResponse(JSON.stringify({
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status: 'healthy',
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service: 'TCG Vault API',
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version: '1.0.0',
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timestamp: new Date().toISOString()
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}), {
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status: 200,
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headers: {
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...headers,
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'Content-Type': 'application/json',
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},
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})
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}
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