Baruk1-netizen/alx-backend-python

Python Backend Project

Overview

This project is a Python backend designed to handle various server-side functionalities, including request handling, database interaction, and business logic execution. It follows best practices for coding, documentation, and style adherence.

Requirements

• Python 3.x
• Flask (or Django, FastAPI, etc., depending on your framework choice)
• SQLAlchemy (or any ORM if used)
• Pytest (for testing)
• Additional dependencies listed in requirements.txt

Installation

1. Clone the repository:

   • git clone <repository_url>
   • Navigate to the project directory: cd your-repo

2. Create and activate a virtual environment:

   • python3 -m venv venv
   • Activate the virtual environment:
     • On Unix or MacOS: source venv/bin/activate
     • On Windows: venv\Scripts\activate

3. Install dependencies from requirements.txt:

   • pip install -r requirements.txt

Running the Server

To start the development server, use the appropriate command based on your framework:

• For Flask: flask run
• For Django: python manage.py runserver

Environment Variables

Ensure you have a .env file in your project root with the following variables:

• FLASK_APP
• FLASK_ENV
• DATABASE_URL
• SECRET_KEY

Project Structure

• app/: Contains the application modules such as initialization, models, routes, services, and utilities.
• tests/: Contains the test cases for the application.
• .env: Environment variables file.
• requirements.txt: List of dependencies.
• README.md: Project documentation.
• run.py: Script to run the application.

Code Style

This project adheres to pycodestyle (version 2.5). Ensure your code complies with the style guide by running:

• pycodestyle your_code.py

Documentation

Module Documentation

Each module includes comprehensive documentation. To view module documentation, use:

• python3 -c 'print(__import__("app.your_module").__doc__)'

Class Documentation

Classes are documented to explain their purpose. To view class documentation, use:

• python3 -c 'print(__import__("app.your_module").YourClass.__doc__)'

Function Documentation

All functions, whether inside or outside classes, are documented. To view function documentation, use:

• For functions outside a class: python3 -c 'print(__import__("app.your_module").your_function.__doc__)'
• For functions inside a class: python3 -c 'print(__import__("app.your_module").YourClass.your_function.__doc__)'

Testing

To run tests, use:

• pytest

Ensure all tests pass before pushing changes to the repository.

Conclusion

This project follows best practices for coding, documentation, and style adherence. By maintaining these standards, the codebase remains clean, well-documented, and easy to maintain. Happy coding!