A collection of backend projects built using FastAPI, demonstrating the progression from basic API development to a structured, authentication-based backend system.

See workflow: .github/workflows/

• Containerization: Fully containerized using Docker and docker-compose for consistent multi-environment deployments.
• CI/CD Pipeline: Automated GitHub Actions workflows configured with path-filtering to independently run Pytest and Flake8 linting for isolated micro-projects.

Spin up the entire environment (API and Database) in one command: docker-compose up --build

1. Developer pushes code to GitHub
2. GitHub Actions pipeline triggers
3. Dependencies installed
4. Tests executed (pytest)
5. Linting performed (flake8)
6. Docker image built

This repository contains two FastAPI projects showcasing different levels of backend development:

1. 📚 Books API (Beginner Level)
2. ✅ Todo API (Intermediate Level with Authentication & Database)

The goal of this repository is to demonstrate practical backend concepts such as:

• API design
• Data validation
• Authentication
• Database integration
• Modular architecture

A simple REST API built using FastAPI with in-memory data storage.

• CRUD operations for books
• Request validation using Pydantic
• Path & query parameter handling
• Basic API structure

• FastAPI
• Pydantic

This project focuses on learning:

• FastAPI routing
• Request/response handling
• Basic API design

A more advanced backend system with authentication and database integration.

• JWT-based authentication
• User-specific todos (owner-based access)
• Full CRUD operations
• SQLAlchemy ORM integration
• Dependency injection
• Modular router-based structure
• Testable API design

• FastAPI
• SQLAlchemy
• Pydantic
• Uvicorn
• Pytest

• Separation of concerns (models, schemas, routers)
• Dependency injection for DB and authentication
• Secure endpoints with user validation

uvicorn main:app --reload

FastAPI provides built-in interactive docs:

• Swagger UI → http://127.0.0.1:8000/docs

All todo endpoints are protected.

pytest -v

This repository demonstrates:

• Beginner → CRUD API with in-memory data
• Intermediate → Authentication + database + modular design

• Convert routes to RESTful design (/todos/{id})
• Add response models for better API control
• Implement pagination and filtering
• Add Docker support
• Deploy to cloud (AWS / Render / Railway)

Contributions are welcome!

1. Fork the repository
2. Create a new branch
3. Commit your changes
4. Push and create a Pull Request

This project is licensed under the MIT License.

Aranya Majumdar