Skip to main content

gptcomet: A tool that leverages AI to automatically generate Git commit messages.

Project description

GPTComet: AI-Powered Git Commit Message Generator

PyPI version License Static Badge PyPI - Downloads Pepy Total Downloads

Overview

GPTComet is a Python library designed to automate the process of generating commit messages for Git repositories. It leverages the power of AI to create meaningful commit messages based on the changes made in the codebase.

Features

  • Automatic Commit Message Generation: GPTComet can generate commit messages based on the changes made in the code.
  • Support for Multiple Languages: GPTComet supports multiple languages, including English and Chinese.
  • Customizable Configuration: GPTComet allows users to customize the configuration to suit their needs.
  • Support for Rich Commit Messages: GPTComet supports rich commit messages, which include a title, summary, and detailed description.

Installation

To use GPTComet, you need to have Python installed on your system. You can install the library using pip:

pip install gptcomet

Recommend install use pipx on Mac or Linux.

pipx install gptcomet

After installing GPTComet, you will have two commands: gptcomet and gmsg.

$ pipx install gptcomet
  installed package gptcomet 0.0.3, installed using Python 3.12.3
  These apps are now globally available
    - gmsg
    - gptcomet
done!  🌟 

Usage

To use gptcomet, follow these steps:

  1. Install GPTComet: Install GPTComet through pypi.
  2. Configure GPTComet: Configure GPTComet with your api_key The configuration file should contain the following keys:
    • provider: The provider of the language model (default openai).
    • api_base: The base URL of the API (default https://api.openai.com/v1).
    • api_key: The API key for the provider.
    • model: The model used for generating commit messages (default text-davinci-003).
    • retries: The number of retries for the API request (default 2).
  3. Run GPTComet: Run GPTComet using the following command: gmsg commit.

Commands

The following are the available commands for GPTComet:

  • gmsg config: Config manage commands group.
    • set: Set a configuration value.
    • get: Get a configuration value.
    • list: List all configuration values.
    • reset: Reset the configuration to its default values.
    • keys: List all supported keys.
    • append: Append a value to a configuration key. (List value only, like fileignore)
    • remove: Remove a value from a configuration key. (List value only, like fileignore)
  • gmsg commit: Generate commit message by changes/diff.
  • gmsg newprovider: Add a new provider.

Configuration

The configuration file for GPTComet is gptcomet.yaml. The file should contain the following keys:

  • provider: The provider of the language model (default openai).
  • file_ignore: The file to ignore when generating a commit.
  • api_base: The base URL of the API (default https://api.openai.com/v1).
  • api_key: The API key for the provider.
  • model: The model used for generating commit messages (default text-davinci-003).
  • retries: The number of retries for the API request (default 2).
  • proxy: The proxy URL for the provider.
  • max_tokens: The maximum number of tokens for the provider.
  • top_p: The top_p parameter for the provider (default 0.7).
  • temperature: The temperature parameter for the provider (default 0.7).
  • frequency_penalty: The frequency_penalty parameter for the provider (default 0).
  • extra_headers: The extra headers for the provider, json string.
  • prompt.brief_commit_message: The prompt for generating brief commit messages.
  • prompt.rich_commit_message: The prompt for generating rich commit messages.
  • prompt.translation: The prompt for translating commit messages to a target language.
  • output.lang: The language of the commit message (default en).
  • output.rich_template: The template for generating rich commit messages.

file_ignore

The file to ignore when generating a commit. The default value is

- bun.lockb
- Cargo.lock
- composer.lock
- Gemfile.lock
- package-lock.json
- pnpm-lock.yaml
- poetry.lock
- yarn.lock
- pdm.lock
- Pipfile.lock
- '*.py[cod]'
- go.mod
- go.sum

You can add more file_ignore by using the gmsg config append file_ignore <xxx> command. <xxx> is same syntax as gitignore, like *.so to ignore all .so suffix files.

This project using litellm as the bridge to LLM providers, so plenty providers are supported.

If you are using openai, just leave the api_base as default. Set your api_key in the config section.

If you are using an openai class provider, or a provider compatible with the openai interface, you can set the provider to openai. And set your custom api_base, api_key and model.

For example:

Openrouter providers api interface compatible with openai, you can set provider to openai and set api_base to https://openrouter.ai/api/v1, api_key to your api key from keys page and model to meta-llama/llama-3.1-8b-instruct:free or some other you prefer.

gmsg config set openai.api_base https://openrouter.ai/api/v1
gmsg config set openai.api_key YOUR_API_KEY
gmsg config set openai.model meta-llama/llama-3.1-8b-instruct:free
gmsg config set openai.max_tokens 1300

Silicon providers the similar interface with openrouter, so you can set provider to openai and set api_base to https://api.siliconflow.cn/v1.

Note that max tokens may vary, and will return an error if it is too large.

Supported Keys

You can use gmsg config keys to check supported keys.

Example

Here is an example of how to use GPTComet:

  1. When you first set your OpenAI KEY by gmsg config set openai.api_key YOUR_API_KEY, it will generate config file at ~/.local/gptcomet/gptcomet.yaml, includes:
    provider = "openai"
    api_base = "https://api.openai.com/v1"
    api_key = "YOUR_API_KEY"
    model = "gpt-3.5-turbo"
    retries = 2
    output.lang = "en"
    
  2. Run the following command to generate a commit message: gmsg commit
  3. GPTComet will generate a commit message based on the changes made in the code and display it in the console.

Note: Replace YOUR_API_KEY with your actual API key for the provider.

Development

If you'd like to contribute to GPTComet, feel free to fork this project and submit a pull request.

First, fork the project and clone your repo.

git clone https://github.com/<yourname>/gptcomet

Second, make sure you have pdm, you can install by pip, brew or other way in their installation docs

Use just command install dependence, just is a handy way to save and run project-specific commands, just docs https://github.com/casey/just

just install

Or use pdm directly pdm install.

Then, you can submit a pull request.

License

GPTComet is licensed under the MIT License.

Contact

If you have any questions or suggestions, feel free to contact.

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

gptcomet-0.0.18.tar.gz (37.4 kB view details)

Uploaded Source

Built Distribution

gptcomet-0.0.18-py3-none-any.whl (33.9 kB view details)

Uploaded Python 3

File details

Details for the file gptcomet-0.0.18.tar.gz.

File metadata

  • Download URL: gptcomet-0.0.18.tar.gz
  • Upload date:
  • Size: 37.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.20.1 CPython/3.10.15 Darwin/24.1.0

File hashes

Hashes for gptcomet-0.0.18.tar.gz
Algorithm Hash digest
SHA256 2c46d1dada0123a63f6427a43ebf4d55b469253d6cefb3991007a46ac9910fd2
MD5 11607061baedf781d1dffa8479777595
BLAKE2b-256 95791805e47db7b01616064448d21a72cdfd5b69749db5db5eec794a727a34fe

See more details on using hashes here.

File details

Details for the file gptcomet-0.0.18-py3-none-any.whl.

File metadata

  • Download URL: gptcomet-0.0.18-py3-none-any.whl
  • Upload date:
  • Size: 33.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.20.1 CPython/3.10.15 Darwin/24.1.0

File hashes

Hashes for gptcomet-0.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 47908e53a864f62d6937e6062733a3c654ca0db3221adab26922471610853917
MD5 ec97ce5c7773507e771f3f7907408f88
BLAKE2b-256 266ae52fa32b1f8c73e6eb5361095d86234bf36007bf3da5027389485d69a7c1

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