Large Scale Flask Application

This is a production-ready Flask application boilerplate designed for large-scale applications with MySQL integration.

Project Structure

.
├── app/
│   ├── __init__.py          # Application factory
│   ├── api/                 # API blueprint
│   ├── auth/                # Authentication blueprint
│   ├── models/              # Database models
│   └── errors.py            # Error handlers
├── migrations/              # Database migrations
├── logs/                    # Application logs
├── .env                     # Environment variables
├── .env.example            # Environment variables template
├── config.py               # Configuration settings
├── requirements.txt        # Python dependencies
├── app.py                  # Application entry point
└── README.md              # Project documentation

Features

• Factory pattern for application creation
• Blueprint-based structure for modularity
• SQLAlchemy integration with MySQL
• JWT authentication
• CORS support
• Error handling
• Logging configuration
• Environment-based configuration
• Database migrations support

Setup

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

   pip install -r requirements.txt

3. Copy .env.example to .env and configure your environment variables:

   cp .env.example .env

4. Initialize the database:

   flask db init
   flask db migrate
   flask db upgrade

5. Run the application:

   flask run

Development

• Add new models in app/models/
• Create new API endpoints in app/api/
• Add authentication routes in app/auth/
• Configure database in .env

Production Deployment

1. Set environment variables:

   export FLASK_ENV=production

2. Use a production WSGI server:

   gunicorn app:app

Contributing

1. Create a new branch
2. Make your changes
3. Submit a pull request

License

This project is licensed under the MIT License.