API Digital Library

Technologies

Overview

The API Digital Library is a Python-based web application that leverages technologies such as Python 3, SQL Alchemy, Flask, and MySQL to provide a platform for users to manage their book collections. This project serves as a practical exercise in developing a robust API, focusing on fundamental principles and best practices.

Features

• User Authentication: Users can create accounts, log in, and manage their bookshelves.
• Book Management: Users can add, view, and remove books from their personal bookshelves.
• Admin Privileges: Only users with admin access have the authority to create, update, and delete authors and books.
• Database Integration: The application utilizes SQL Alchemy to interact with a relational database, enhancing data storage and retrieval capabilities.
• Dockerization: The project is containerized using Docker, facilitating easy deployment and scalability.

Main Objectives

The primary objectives of the API Digital Library project are:

1. Skill Development: Gain practical experience in developing APIs using Python and related technologies.
2. Database Interaction: Learn how to work with a relational database (MySQL) and utilize SQL Alchemy for efficient data management.
3. User Authentication: Implement user authentication mechanisms to secure account creation and access to specific features.
4. Testing Practices: Achieve comprehensive test coverage using the Coverage library and Pytest, ensuring the reliability of the application.

Usage

Setup

1. Clone the repository to your local machine:

   bashCopy code

   git clone https://github.com/your-username/api-digital-library.git

2. Navigate to the project directory:

   bashCopy code

   cd api-digital-library

3. Install the required dependencies:

   bashCopy code

   pip install -r requirements.txt

Running the Application

1. Build and run the Docker container:

   bashCopy code

   docker-compose up -d

2. Access the application at http://localhost:5000.

Testing

1. Run the test suite:

   bashCopy code

   coverage run -m pytest

2. View the test coverage report:

   bashCopy code

   coverage report

Notes

• Ensure that you have Docker and Python 3 installed on your machine before running the application.
• For admin privileges, customize the user roles and access controls in the application code.