autocommitmessage 0.1.4

A tool to automatically generate git commit messages using an LLM.

AutoCommitMessage

AutoCommitMessage is a command-line tool that uses the power of Large Language Models (LLMs) to automatically generate descriptive and well-formatted git commit messages based on your staged changes.

Features

• AI-Powered Commits: Leverages Google's Gemini models via LangChain to analyze your code differences and generate meaningful commit messages.
• Free to Use: This tool includes a wrapper around the Google API to ensure that your usage stays within the free tier, so you can use it without charge with your own Google API key.
• Conventional Commits: Follows the Conventional Commits specification to produce a clean and readable commit history. The generated messages include a type (e.g., feat, fix, refactor), an optional scope, and a concise description.
• Seamless Git Integration: Integrates directly with your local Git repository to automatically detect staged files.
• Extensible and Testable: Built with a modular structure, making it easy to test and extend. The project includes unit, end-to-end, and LLM quality tests.

Installation

1. Install from PyPI (Recommended): You can install the tool directly using pip.

   pip install autocommitmessage
   

2. Or, Install from source (for development): If you want to contribute to the project, you can install it from the source code.

   • Clone the repository:

     git clone <your-repo-url>
     cd autocommitmessage
     

   • Install dependencies: The project uses setuptools for packaging. It's recommended to do this in a virtual environment.

     pip install .
     

     For development and running tests, install the testing dependencies:

     pip install .[dev]
     

Usage

After installing, you can use autocommitmessage in any of your own Git repositories.

Setting Your API Key

The tool requires a Google API key to function. You must set this key in a .env file within the root directory of the repository you are working on.

1. Navigate to your project's root directory:

   cd /path/to/your-project
   

2. Create a .env file. If you cloned the repository for development, you can copy the example file:

   cp .env.example .env
   

   Then, add your API key:

   # your-project/.env
   GOOGLE_API_KEY="your_google_api_key_here"
   

Generating a Commit Message

1. Stage your changes: Use git add to stage the changes you want to commit.

   git add <file1> <file2>
   

2. Generate the commit message: Run the autocommitmessage command.

   autocommitmessage
   

The tool will then output a generated commit message based on the staged diff.

Development and Testing

If you are contributing to the project, you will need to set up your environment for testing.

Langsmith Setup (for LLM Quality Tests)

1. Add Langsmith keys to your .env file:

   LANGCHAIN_API_KEY="your_langchain_api_key"
   LANGCHAIN_TRACING_V2="true"
   LANGCHAIN_ENDPOINT="[https://api.smith.langchain.com](https://api.smith.langchain.com)"
   LANGCHAIN_PROJECT="your_project_name"
   

2. You can get the LANGCHAIN_PROJECT name by running the langsmith_ini.py script:

   python tests/langsmith/langsmith_ini.py
   

Running Tests

This project uses pytest for testing. The tests are organized into three categories: unit, end-to-end (e2e), and LLM quality (llm).

To run all tests:

pytest