bredalis/fastapi-bookstore-api

Bookstore API using FastAPI

The Bookstore API is a robust and high-performance API built using FastAPI. It allows users to browse, search, and purchase books. The API includes features like adding reviews, managing a shopping cart, and processing orders.

Features

• Browse and search for books by title, author, or genre
• User authentication and authorization
• Adding, updating, and deleting reviews for books
• Managing a shopping cart with add, update, and remove functionalities
• Processing orders, calculating totals, and generating invoices

Technologies Used

• FastAPI: A modern, fast (high-performance) web framework for building APIs with Python
• SQLAlchemy: A powerful and popular Object-Relational Mapping (ORM) library for database operations
• SQLite: A lightweight and serverless database used for storing book, user, and order data

Project Structure

The project follows a structured organization to maintain code readability and maintainability. Here's the project structure:

fastapi-bookstore-api/
    ├── main.py
    ├── models.py
    ├── database.py
    ├── authentication.py
    ├── docs/
    ├── tests/
    └── requirements.txt

• main.py : This file will contain your FastAPI application code, including API routing and logic.
• models.py : Define Pydantic models for data structures to ensure data consistency and validation.
• database.py : Set up your database connection and define database models for storing book information.
• authentication.py : Handle user authentication and authorization.
• docs/ : Store documentation and project-related notes.
• tests/ : Create a test suite to ensure the reliability and correctness of your API.
• requirements.txt : List your project's dependencies for easy installation.

Getting Started

1. Clone the repository: git clone <repository_url>
2. Create a virtual environment: python3 -m venv env
3. Activate the virtual environment:

• For Unix/Linux: source env/bin/activate
• For Windows: .\env\Scripts\activate

4. Install the dependencies: pip install -r requirements.txt
5. Run the API server: uvicorn main:app --reload
6. Visit http://localhost:8000/docs to access the interactive API documentation (Swagger UI).

Contributing

Contributions are welcome! If you find any issues or want to add new features, please open an issue or submit a pull request.