Code Stats is a full-stack web application for analyzing Git repository activity. Originally a command-line tool, it has evolved into a multi-user web service that provides detailed statistics about development activity including commits, lines of code changes, and author contributions over time.

The application features a modern Vue.js frontend with interactive charts and a FastAPI backend with JWT authentication and SQLite database storage.

• Multi-User Support: User registration and authentication with JWT tokens
• Repository Management: Add, analyze, and manage multiple Git repositories
• Interactive Dashboard: Visual charts showing development activity over time
• Real-time Analysis: Trigger Git analysis and view results immediately
• Author Tracking: Separate tracking of Git authors vs system users
• Responsive Design: Modern UI that works on desktop and mobile

• Daily Statistics: Day-by-day breakdown of Git activity
• Period Analysis: Configurable time ranges (7, 14, 30, 90 days)
• Detailed Metrics: For each period, shows:
  • Number of commits
  • Number of files changed
  • Number of lines added/deleted
  • Net line changes
  • Author contributions
• Manual AI Coder Flagging: Mark authors as AI-generated code contributors

• Backend: FastAPI + SQLAlchemy + SQLite + JWT authentication
• Frontend: Vue 3 + TypeScript + Tailwind CSS + Chart.js + Vite
• Package Management: uv for Python, npm for Node.js
• Database: SQLite (development) with migration path to PostgreSQL

• Python 3.13+
• Node.js 18+ and npm
• Git installed and accessible in your system's PATH
• uv package manager for Python dependencies

# Clone the repository
git clone <repository-url>
cd code_stats
# Install Python dependencies
uv sync
# Install frontend dependencies
cd frontend
npm install
cd ..

Choose one of these approaches for frontend development:

# Terminal 1: Start backend server
uv run uvicorn backend.app.main:app --reload --port 8002
# Terminal 2: Start frontend development server with hot-reload
cd frontend
npm run dev

• Frontend with hot-reload: http://localhost:5173
• Backend API: http://localhost:8002
• API docs: http://localhost:8002/api/docs

Note: This requires proxy configuration in vite.config.ts to forward API calls from port 5173 to 8002.

# Build frontend for production
cd frontend
npm run build
cd ..
# Start backend (serves built frontend)
uv run uvicorn backend.app.main:app --reload --port 8002

• Full application: http://localhost:8002
• API docs: http://localhost:8002/api/docs

# Build optimized frontend
cd frontend
npm run build
cd ..
# Start production server
uv run uvicorn backend.app.main:app --host 0.0.0.0 --port 8002

The original command-line interface is still available:

python git_stats.py <repo_path> [--days N]

Example:

python git_stats.py /path/to/your/repo --days 30

Run the full-stack integration test to verify everything is working:

# Start the server first
uv run uvicorn backend.app.main:app --reload --port 8002
# In another terminal, run the test
python test_fullstack.py

The test covers:

• API health checks and frontend serving
• User registration and authentication
• Repository CRUD operations
• Git analysis triggering and completion
• Statistics retrieval and validation

• Models: SQLAlchemy models for Users, Repositories, Authors, and DailyAuthorStats
• Authentication: JWT-based user authentication and authorization
• API Routes: RESTful endpoints for all operations
• Git Analysis: Integrates existing CLI analysis logic with web service
• Database: Day-based atomic storage with calculated aggregations

• Authentication: Login/register forms with JWT token management
• Dashboard: Overview with repository stats and quick actions
• Repository Management: CRUD interface for Git repositories
• Statistics Visualization: Interactive charts using Chart.js
• Responsive Design: Tailwind CSS for modern, mobile-friendly UI

• Day-based Storage: Only daily author statistics are stored in the database
• Calculated Aggregations: All period and summary statistics are computed from daily data
• User/Author Separation: System users are separate from Git commit authors
• Manual AI Flagging: Authors can be manually marked as AI-generated code

When the server is running, visit http://localhost:8002/api/docs for interactive API documentation with Swagger UI.

• The original CLI tool (git_stats.py) remains functional for backwards compatibility
• The web service adapts the existing Git analysis logic for multi-user database storage
• Frontend build artifacts are served directly by FastAPI for simple deployment
• Database migrations are handled automatically on server startup

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run the integration test to ensure everything works
5. Submit a pull request

This project is open-source. Please add a specific license file if desired (e.g., MIT, Apache 2.0).