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Render Deployment Configuration

Service Settings

  • Name: recipeai-backend
  • Environment: Python
  • Region: Choose closest to your users
  • Branch: main
  • Root Directory: backend

Build & Deploy

  • Build Command: pip install -r requirements.txt
  • Start Command: uvicorn main:app --host 0.0.0.0 --port 10000
  • Python Version: Automatically detected from runtime.txt (3.11.9)

Environment Variables

Add these in the Render dashboard under "Environment":

# Supabase Configuration
NEXT_PUBLIC_SUPABASE_URL=https://xcsdfbbtjxyotvacyyfu.supabase.co
SUPABASE_JWT_SECRET=your_jwt_secret_from_supabase
SUPABASE_SERVICE_ROLE_KEY=your_service_role_key_from_supabase

# Google AI APIs
GEMINI_API_KEY=your_gemini_api_key
GOOGLE_APPLICATION_CREDENTIALS=recipe-ai-text-parser-626cd20db194.json

# CORS Configuration
CORS_ORIGINS=https://your-frontend-domain.vercel.app,http://localhost:3000

# Optional: Rate Limiting
RATE_LIMIT_WINDOW_SECONDS=60
DEFAULT_RATE_LIMIT=120

Google Cloud Credentials

  1. Go to your Render service dashboard
  2. Navigate to "Secret Files"
  3. Add a new secret file:
    • Filename: recipe-ai-text-parser-626cd20db194.json
    • Contents: Paste your Google Cloud service account JSON

Deployment Checklist

  • Push code to GitHub (main branch)
  • Create new Web Service on Render
  • Configure build and start commands
  • Add all environment variables
  • Upload Google Cloud credentials as secret file
  • Deploy and wait for build to complete
  • Test health endpoint: https://your-app.onrender.com/health
  • Test API docs: https://your-app.onrender.com/docs
  • Update frontend NEXT_PUBLIC_BACKEND_URL to point to Render URL

Troubleshooting

Build Fails with "Read-only file system"

  • Ensure runtime.txt specifies Python 3.11.9
  • Check that all dependencies have pre-built wheels

401 Unauthorized Errors

  • Verify NEXT_PUBLIC_SUPABASE_URL matches your Supabase project URL
  • Ensure SUPABASE_JWT_SECRET is correct (from Supabase project settings)

CORS Errors

  • Add your frontend domain to CORS_ORIGINS
  • Include both production and localhost URLs during development

Google Vision API Errors

  • Verify credentials file is uploaded as secret file
  • Check GOOGLE_APPLICATION_CREDENTIALS path matches secret filename
  • Ensure Google Cloud Vision API is enabled in your GCP project