FastAPI Backend Architecture

Welcome to the FastAPI Backend Architecture repository! This project showcases a structured and scalable backend architecture built using FastAPI, a modern web framework for building APIs with Python 3.10.

The repository follows best practices for organizing a backend project, incorporating key components such as routers, models, schemas, and services to maintain scalability, maintainability, and ease of testing.

📑 Documentation

All the project details, including architectural decisions, folder structures, setup instructions, and usage guidelines, are comprehensively documented in the Project Documentation (PDF). Please refer to this file for in-depth information.

Key Highlights of the Architecture:

• Modular Design: The project is structured in a way that separates concerns across routers, models, schemas, and core functionalities, ensuring modularity and flexibility.
• Database Integration: The architecture supports easy integration with databases using SQLAlchemy or similar ORMs.
• Cython Optimizations: Certain parts of the codebase are optimized using Cython for performance improvement (optional).
• Dependency Injection: Designed to support FastAPI’s dependency injection for services, ensuring clean, testable, and extendable code.
• Async Capabilities: Fully async-enabled, allowing for high concurrency and performance.

🚀 Getting Started

To get started with this project, follow the steps below:

Prerequisites

Ensure you have the following installed:

• Python 3.10+
• Docker (optional for containerization)
• PostgreSQL or another relational database (if applicable)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/fastapi-backend-architecture.git
   cd fastapi-backend-architecture

2. Set up a virtual environment and install dependencies:

   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

3. Run the FastAPI application:

   uvicorn api.main:app --reload

4. Access the application:

   • API Documentation: http://127.0.0.1:8000/docs
   • OpenAPI Schema: http://127.0.0.1:8000/openapi.json

Using Docker

To run the project using Docker:

1. Build the Docker image:

   docker build -t fastapi-backend .

2. Run the Docker container:

   docker run -p 8080:8080 fastapi-backend

3. The app will be available at: http://localhost:8080

🏗️ Project Structure

Here’s an overview of the folder structure:

fastapi-backend/
├── api/
│   ├── aws/                   # AWS-related files (optional)
│   ├── core/                  # Core configurations, middleware, and database
│   ├── migrations/            # Database migration scripts (Alembic)
│   ├── models/                # SQLAlchemy models and database schemas
│   ├── routers/               # API route handlers/endpoints
│   ├── schemas/               # Pydantic models for request/response validation
│   ├── utils/                 # Utility functions
│   ├── logging_config.py      # Logging configuration
│   └── main.py                # FastAPI application entry point
├── tests/                     # Unit and integration tests
├── docs/                      # Documentation files (PDF, guides)
├── requirements.txt           # Python dependencies
├── Dockerfile                 # Docker configuration for containerization
├── README.md                  # Project overview and instructions
└── setup.py                   # Python package configuration

🧪 Running Tests

To run tests, use:

pytest tests/
Make sure you have your testing environment set up. You can use tools like pytest and coverage to ensure code quality.

🛠️ Deployment

For deployment, you can use services like:

• Docker: Containerize your app and deploy it on any platform.
• Heroku: Easily deploy your FastAPI app on Heroku using the Dockerfile.
• AWS: Use AWS EC2 or other AWS services to deploy your backend.

Please refer to the PDF Documentation for more details about deployment strategies and configurations.

📂 Additional Resources

• FastAPI Documentation
• SQLAlchemy Documentation
• Pydantic Documentation
• Docker Documentation
• Alembic Documentation