Permaculture AI Chatbot

This project is a full-stack Next.js application with an Express backend for a Permaculture AI Chatbot.

Setup

1. Clone the repository
2. Install dependencies: npm install
3. Set up environment variables in a .env file
4. Run the development server: npm run dev

Scripts

• npm run dev: Start the development server
• npm run build: Build the application for production
• npm start: Start the production server
• npm test: Run tests

Deployment

1. Build the Docker image: docker build -t permaculture-ai-chatbot .
2. Run the Docker container: docker run -p 3000:3000 permaculture-ai-chatbot

Contributing

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Latest Updates

• Added input validation for user signup and login
• Implemented rate limiting for API routes
• Enhanced error handling and logging
• Set up CI/CD pipeline with GitHub Actions

New Dependencies

• express-rate-limit: For API rate limiting
• winston: For improved logging

Frontend Configuration

When developing locally, create a .env file in your frontend project root with the following content:

REACT_APP_API_BASE_URL=http://localhost:3000

For production, set the environment variable to your deployed backend URL:

REACT_APP_API_BASE_URL=https://sea-turtle-app-4in2t.ondigitalocean.app

Update all API calls in your frontend code to use this base URL:

const API_BASE_URL = process.env.NEXT_PUBLIC_API_BASE_URL;
// Use this base URL for all API calls
const response = await fetch(${API_BASE_URL}/api/auth/login, {
// ... rest of your fetch options
});

This configuration allows your frontend to work with both local and production backends.