robyn-config 0.3.1

A powerful CLI tool to bootstrap and manage production-ready Robyn applications with best practices built-in.

robyn-config

robyn-config is a comprehensive CLI tool designed to bootstrap and manage Robyn applications. It streamlines your development workflow by generating production-ready project structures and automating repetitive tasks, allowing you to focus on building your business logic.

Think of it as the essential companion for your Robyn projects-handling everything from initial setup with best practices to injecting new feature components as your application grows.

📦 Installation

You can simply use Pip for installation.

pip install robyn-config

🤔 Usage

🚀 Create a Project

To bootstrap a new project with your preferred architecture and ORM, run:

# Create a DDD project with SQLAlchemy (uses uv by default)
robyn-config create my-service --orm sqlalchemy --design ddd ./my-service

# Create an MVC project with Tortoise ORM, locking with poetry
robyn-config create newsletter --orm tortoise --design mvc --package-manager poetry ~/projects/newsletter

➕ Add Business Logic

Once inside a project, you can easily add new entities (models, routes, repositories, etc.) using the add command. This automatically generates all necessary files and wiring based on your project's architecture.

# Add a 'product' entity to your project
cd my-service
robyn-config add product

This will:

• Generate models/tables.
• Create repositories.
• Setup routes and controllers.
• Register everything in the app configuration.
• Respect your configured paths: add reads injection targets from [tool.robyn-config.add] in pyproject.toml (e.g., domain/operational/presentation paths for DDD or views/repository/urls for MVC). You can customize those paths before running add to steer where new code is written.

🏃 CLI Options

Usage: robyn-config [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  add     Add new business logic to an existing robyn-config project.
  create  Copy the template into destination with specific configurations.

create command options:

• name: Sets the project name used in templated files like pyproject.toml and README.md.
• --orm: Selects the database layer. Options: sqlalchemy (default), tortoise.
• --design: Toggles between the architecture templates. Options: ddd (default), mvc.
• --package-manager: Choose how dependencies are locked/installed. Options: uv (default), poetry.
• destination: The target directory. Defaults to ..

add command options:

• name: The name of the entity/feature to add (e.g., user, order-item).
• project_path: Path to the project root. Defaults to current directory.

🐍 Python Version Support

robyn-config is compatible with the following Python versions:

Python >= 3.11

Please make sure you have the correct version of Python installed before starting to use this project.

💡 Features

• Rapid Scaffolding: Instantly generate robust, production-ready Robyn backend projects.
• Integrated Component Management: Use the CLI to inject models, routes, and repositories into your existing architecture, ensuring consistency and best practices.
• Architectural Flexibility: Native support for Domain-Driven Design (DDD) and Model-View-Controller (MVC) patterns.
• ORM Choice: Seamless integration with SQLAlchemy or Tortoise ORM.
• Package Manager choice: Lock/install via uv (default) or poetry, with fresh lock files generated in quiet mode.
• Resilient operations: create cleans up generated files if it fails; add rolls back using a temporary backup to keep your project intact.
• Production Ready: Includes Docker, Docker Compose, and optimized configurations out of the box.
• DevEx: Pre-configured with ruff, pytest, black, and mypy for a superior development experience.

🗒️ How to contribute

🏁 Get started

Feel free to open an issue for any clarifications or suggestions.

⚙️ To Develop Locally

Prerequisites

• Python >= 3.11
• uv (recommended) or pip

Setup

1. Clone the repository:

   git clone https://github.com/Lehsqa/robyn-config.git
   

2. Setup a virtual environment and install dependencies:

   uv venv && source .venv/bin/activate
   uv pip install -e .[dev]
   

3. Run linters and tests:

   make check
   

✨ Special thanks

Special thanks to the Robyn team for creating such an amazing framework!