Skip to main content

GitMuse is an AI-powered tool that helps developers craft meaningful and descriptive Git commit messages.

Project description

GitMuse

GitMuse is an AI-powered tool that helps developers craft meaningful and descriptive Git commit messages. By analyzing your staged changes, GitMuse provides intelligent suggestions for your commit messages, making your Git history more informative and easier to navigate.

Release

Key Features

  • No Configuration Needed: Works out-of-the-box with Llama 3.2 and Ollama.
  • AI-Powered Commit Messages: Leverages OpenAI's GPT models, or Ollama for locally hosted models, to generate context-aware commit messages.
  • Git Integration: Seamlessly integrates with your existing Git workflow.
  • Customizable: Configure AI providers, commit message styles, and other preferences via a JSON configuration file.
  • Interactive CLI: User-friendly command-line interface with rich formatting for easy interaction.
  • Diff Analysis: Intelligent analysis of your staged changes to provide accurate commit message suggestions.

Installation

pip install gitmuse

Note: GitMuse requires Python 3.11 or higher and Ollama installed with the Llama 3.2 model downloaded for zero configuration.

Usage

  1. Ensure that Ollama is running:

    ollama serve
    
  2. Stage your changes as you normally would:

    git add .
    
  3. Instead of using git commit, use GitMuse:

    gitmuse commit
    
  4. GitMuse will analyze your changes and suggest a commit message.

  5. You can view the diff, edit the commit message, and confirm or cancel the commit.

  6. If confirmed, GitMuse will create the commit with the generated or edited message.

Development Status

GitMuse is currently in active development and is fully functional with Llama 3.2 by default, requiring no additional configuration as long as Ollama is installed and the model is downloaded. It also works with OpenAI and any of their models by default. The project now includes improved error handling, logging, and a more interactive CLI experience.

Configuration (Optional)

GitMuse can be configured to match your preferences. You can create a gitmuse.json file in one of the following locations (in order of precedence):

  1. In your current project directory
  2. In your home directory: ~/.config/gitmuse/gitmuse.json
  3. In the global configuration directory: /etc/gitmuse/gitmuse.json

The configuration file should follow this structure:

{
  "version": 1,
  "ai": {
    "provider": "ollama",
    "openai": {
      "model": "gpt-4",
      "apiKey": "YOUR_API_KEY_HERE",
      "organizationId": "YOUR_ORG_ID_HERE",
      "max_tokens": 1000,
      "temperature": 0.7
    },
    "ollama": {
      "model": "llama3.2",
      "url": "http://localhost:11434",
      "max_tokens": 1000,
      "temperature": 0.7
    }
  },
  "commit": {
    "style": "conventional",
    "maxLength": 72,
    "includeScope": true,
    "includeBody": true,
    "includeFooter": true,
    "conventionalCommitTypes": {
      "feat": "✨",
      "fix": "🐛",
      "docs": "📝",
      "style": "💎",
      "refactor": "♻️",
      "perf": "⚡",
      "test": "🧪",
      "build": "🏗️",
      "ci": "🚀",
      "chore": "🧹"
    }
  },
  "prompts": {
    "commitMessage": {
      "useDefault": true,
      "customTemplate": ""
    }
  },
  "logging": {
    "level": "INFO",
    "format": "console",
    "file": ""
  }
}

For more configuration options, refer to the gitmuse-schema.json file in the repository.

Roadmap

  • Support for Additional AI Providers:
    • Groq
    • AWS Bedrock
    • Azure OpenAI Service

FAQ

Why does GitMuse work by default with Ollama and Llama 3.2?

Llama 3.2 from Meta is one of the most advanced open-source language models available, offering high precision, support for function calling, and multilingual capabilities. It's an excellent default choice for generating high-quality, context-aware commit messages, excelling in various tasks including general knowledge, multilingual translation, and contextual understanding.

What should I do if I encounter issues during installation?

  1. Upgrade pip:

    python -m pip install --upgrade pip
    
  2. Check Python version: Ensure you are using Python 3.11 or higher:

    python --version
    

GitMuse is installed but the gitmuse command is not found. What should I do?

  1. Check PATH: Ensure that your Python bin directory is in your system's PATH. Add it to your PATH by modifying your shell configuration file (e.g., .bashrc, .zshrc):

    export PATH="$HOME/.local/bin:$PATH"
    
  2. Reinstall GitMuse: Sometimes reinstalling the package can resolve PATH issues:

    pip uninstall gitmuse
    pip install gitmuse
    

GitMuse is not generating commit messages as expected. What can I do?

  1. Check configuration: Ensure your gitmuse.json configuration file is correctly set up if you have one.

  2. Update GitMuse: Make sure you have the latest version of GitMuse:

    pip install --upgrade gitmuse
    
  3. Review error messages: If there are error messages, review them for clues about what might be wrong. Ensure all dependencies are correctly installed.

  4. Check Ollama: If using Ollama, make sure it's running and the Llama 3.2 model is properly installed.

  5. Logging: Check the logs for more detailed information about any issues. You can adjust the logging level in the configuration file for more verbose output.

Contributing

We welcome contributions! Please see our Contributing Guide for more details.

Support

For support, visit our GitHub Issues.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gitmuse-0.3.3.tar.gz (22.5 kB view details)

Uploaded Source

Built Distribution

gitmuse-0.3.3-py3-none-any.whl (30.4 kB view details)

Uploaded Python 3

File details

Details for the file gitmuse-0.3.3.tar.gz.

File metadata

  • Download URL: gitmuse-0.3.3.tar.gz
  • Upload date:
  • Size: 22.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for gitmuse-0.3.3.tar.gz
Algorithm Hash digest
SHA256 e48bc5672949818b520963ee4bb78160f105f728e11a27c5ea788034801cbd11
MD5 7e02fd767e1aca50ca6d84d5627eab54
BLAKE2b-256 09010cb02f84ef100edde7e3a3ef32eb855a88f5da46430212f93c7816d4a6d8

See more details on using hashes here.

File details

Details for the file gitmuse-0.3.3-py3-none-any.whl.

File metadata

  • Download URL: gitmuse-0.3.3-py3-none-any.whl
  • Upload date:
  • Size: 30.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.27.2

File hashes

Hashes for gitmuse-0.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c6906ccdb07a199c3fce734802a6283f3fdddc558ca46c84a9dcc47a8f3015f7
MD5 3e180dcb5ad1ae3198d2adc1d8a4377a
BLAKE2b-256 f8d95f906170b4052833a8ac88150243dce7c3a0db5b025cd07be3ef21fcb044

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page