ai-gitanalytics-cli 0.5.0

AI-powered Git repository analytics tool. Get insights on code churn, complexity, and security.

Git Analytics CLI

Git Analytics is a powerful, AI-driven command-line tool that transforms your Git repository history into insightful, easy-to-read reports. It intelligently summarizes commits, groups them by theme, and provides high-level executive summaries, helping you understand project progress at a glance.

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Features

• 🤖 AI-Powered Summaries: Uses advanced AI models to generate detailed, code-aware summaries for each commit.
• 🧩 Thematic Analysis: Automatically categorizes commits into themes like Features, Bug Fixes, Documentation, and Refactoring.
• 📄 Executive Summaries: Generates a high-level, multi-sentence summary of the entire analysis period, perfect for reports and stakeholder updates.
• 📊 Contributor Analysis: Generate reports summarizing work by author to see who is contributing what.
• 🩺 Code Health Insights: Identify high-churn files and analyze their complexity to flag potential technical debt.
• 🌿 Branch Selection: Analyze any branch in your repository, not just the one you have checked out, using the --branch option.
• ⚡️ Smart Caching: Caches results to provide near-instantaneous reports on subsequent runs and to minimize API calls.
• 💰 Cost Monitoring: Tracks API token usage and provides an estimated cost for each analysis run, giving you full visibility.
• 📝 Multiple Formats: Generate reports in both Markdown and JSON formats.

Installation

This project is managed with uv, a fast and modern Python package manager.

1. Clone the repository:

   git clone https://github.com/your-username/gitanalytics.git
   cd gitanalytics
   

2. Create and activate a virtual environment:

   uv venv
   source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`
   

3. Install the package:

   uv pip install -e .
   

   The tool is now available as the gitanalytics command.

Configuration

The tool requires an API key from an OpenAI-compatible service like OpenRouter.

1. Create a .env file in the root of the project by copying the example file:

   cp .env.example .env
   

2. Edit the .env file and add your API key:

   # .env
   OPENROUTER_API_KEY="your-secret-key-goes-here"
   OPENROUTER_MODEL_NAME="qwen/qwen-2.5-72b-chat"
   

Usage

The main command is analyze. It analyzes the repository in the current directory by default.

gitanalytics analyze [OPTIONS] [REPO_PATH]

Examples

• Analyze the current repository:

  gitanalytics analyze
  

• Analyze a specific repository path:

  gitanalytics analyze /path/to/your/repo
  

• Analyze a specific branch:

  gitanalytics analyze --branch feature/new-login
  

• Analyze commits within a date range:

  gitanalytics analyze --start-date 2023-01-01 --end-date 2023-01-31
  

• Generate a JSON report:

  gitanalytics analyze --output json
  

• Force a fresh analysis by ignoring the cache:

  gitanalytics analyze --no-cache
  

• Generate a report summarized by author:

  gitanalytics analyze --by-author
  

• Include a code health summary in the report:

  gitanalytics analyze --code-health
  

Development

To set up a development environment with all testing dependencies, run:

uv pip install -e ".[dev]"

To run the automated test suite:

pytest