/flask-ddd

This Flask application demonstrates Clean Architecture principles using Python, integrating Domain-Driven Design (DDD), Docker, SQL databases, and an ORM. It exemplifies a robust, scalable, and maintainable design ideal for complex applications.

Primary LanguagePython

Clean Architecture Application in Python and Flask

About the Application

This project is a demonstration of Clean Architecture principles applied to a Python application using the Flask framework. The application is structured around the Domain-Driven Design (DDD) methodology to ensure a modular, scalable, and maintainable codebase. It leverages Docker for containerization, making the development and deployment process straightforward and consistent across different environments.

Key Features:

  • Clean Architecture: Incorporates a decoupled architecture that separates core business logic from interface and infrastructure concerns. This separation enhances maintainability and allows for independent development and testing of each layer.
  • Domain-Driven Design (DDD): Focuses on complex domain logic centralizing the business logic in the domain layer. This approach facilitates a deeper understanding and management of the domain model which is particularly beneficial for complex applications.
  • Docker Integration: Utilizes Docker to encapsulate the application environment, ensuring that it runs uniformly across different setups. Docker simplifies dependencies management and aligns development environments to production configurations.
  • SQL Database: Employs a SQL database to manage application data, providing robust, reliable, and scalable data storage solutions.
  • ORM Tool: Uses an Object-Relational Mapping (ORM) tool to abstract database interactions, simplifying data manipulation and ensuring database agnosticism. This abstraction allows developers to focus more on the domain logic rather than database specifics.

Technologies Used

  • Flask: A lightweight WSGI web application framework in Python that provides tools, libraries, and technologies to build a web application.
  • SQLAlchemy: An ORM and SQL toolkit for Python that provides a full power and flexibility of SQL.
  • MySQL/PostgreSQL: Supported SQL databases that provide reliable backends for storing persistent data of the application.
  • Docker: A set of platform as a service products that use OS-level virtualization to deliver software in packages called containers.

Environment Setup

Prerequisites

  • Python 3.8+
  • pip
  • virtualenv (optional)
  • Docker

Installation

  1. Clone the Repository:

    git clone https://github.com/user/OnlineLibrary.git cd OnlineLibrary

  2. Set Up the Virtual Environment (Optional):

    python -m venv venv source venv/bin/activate # On Windows use venv\Scripts\activate

  3. Install Dependencies:

    pip install -r requirements.txt

  4. Docker Configuration:

  • Ensure you have Docker and Docker Compose installed.

  • Launch the services:

    docker-compose up -d

Usage

To start the application, run:

flask run --host=local --port=5001

The API will be available at http://localhost:5001.

Endpoints

  • POST /books: Adds a new book.
  • GET /books: Lists all books.
  • PUT /books/{id}: Updates a specific book.
  • DELETE /books/{id}: Deletes a book.

Contributing

To contribute to the project, please follow these steps:

  1. Fork the Repository: Fork the project to your personal account.
  2. Create a Branch: Create a branch for each feature or improvement.
  3. Make Your Changes: Add or modify functionalities.
  4. Submit a Pull Request: To merge your changes into the main project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.