FastAPI Todo Application

A modern, high-performance todo management API built with FastAPI, featuring a clean architecture and comprehensive functionality for task management.

🚀 Quick Start

Get up and running in minutes:

# Install dependencies
pip install -r requirements.txt

# Initialize database
alembic upgrade head

# Launch the application
uvicorn main:app --reload

Access your API at http://localhost:8000

📋 Features

Core Functionality

• ✅ Complete CRUD operations for todos
• 🔍 Pagination support for large datasets
• 📝 Rich todo metadata (title, description, completion status, timestamps)
• 🏥 Health monitoring endpoint

Technical Features

• 🌐 CORS-enabled for cross-origin requests
• 📚 Auto-generated interactive documentation
• 🗄️ SQLite database with SQLAlchemy ORM
• 🔄 Database migrations with Alembic
• 🧹 Code quality with Ruff linting

🛠️ Technology Stack

• Framework: FastAPI 0.104.1
• Database: SQLite with SQLAlchemy 2.0.23
• Migrations: Alembic 1.13.0
• Server: Uvicorn 0.24.0
• Code Quality: Ruff 0.1.6

📖 API Reference

Base Endpoints

Method	Endpoint	Description
GET	/	Application information and links
GET	/health	Service health status

Todo Management

Method	Endpoint	Description	Parameters
GET	/api/v1/todos	List todos	skip, limit
POST	/api/v1/todos	Create todo	title, description?
GET	/api/v1/todos/{id}	Get specific todo	id
PUT	/api/v1/todos/{id}	Update todo	id, fields
DELETE	/api/v1/todos/{id}	Delete todo	id

Example Requests

Create a Todo:

curl -X POST "http://localhost:8000/api/v1/todos" \
  -H "Content-Type: application/json" \
  -d '{"title": "Learn FastAPI", "description": "Build awesome APIs"}'

List Todos:

curl "http://localhost:8000/api/v1/todos?skip=0&limit=10"

📚 Documentation

• Interactive Docs: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc
• OpenAPI Schema: http://localhost:8000/openapi.json

🏗️ Architecture

todoapp/
├── main.py                     # Application entry point
├── requirements.txt            # Python dependencies
├── alembic.ini                # Migration configuration
├── alembic/                   # Database migrations
│   ├── env.py                 # Migration environment
│   ├── script.py.mako         # Migration template
│   └── versions/              # Migration files
│       └── 0001_create_todos_table.py
└── app/                       # Application package
    ├── db/
    │   ├── base.py           # SQLAlchemy declarative base
    │   └── session.py        # Database session management
    ├── models/
    │   └── todo.py           # Todo data model
    └── routes/
        ├── todos.py          # Todo API endpoints
        └── health.py         # Health check endpoint

💾 Database

Storage Location: /app/storage/db/db.sqlite

The application uses SQLite for simplicity and portability. The database is automatically created on first run, with tables managed through Alembic migrations.

Todo Schema:

• id: Primary key (auto-increment)
• title: Todo title (required)
• description: Optional description
• completed: Completion status (default: false)
• created_at: Creation timestamp
• updated_at: Last modification timestamp

🔧 Development

Running Tests

# Add your test command here when tests are implemented
pytest

Code Quality

# Lint and format code
ruff check --fix .

Database Management

# Create new migration
alembic revision --autogenerate -m "description"

# Apply migrations
alembic upgrade head

# Rollback migration
alembic downgrade -1

📦 Deployment

For production deployment, consider:

1. Environment Variables: Configure database URL and secrets
2. Process Manager: Use Gunicorn with Uvicorn workers
3. Reverse Proxy: Place behind Nginx or similar
4. Database: Migrate to PostgreSQL for production workloads

Example production command:

gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests and linting
5. Submit a pull request

📄 License

This project is open source and available under the MIT License.

👨‍💻 Author

BackendIM - AI Backend Code Generation Agent

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Built with ❤️ using FastAPI and modern Python practices