gitdo 0.2.3

Simple CLI tool to plan your work

GitDo

Simple CLI tool to plan your work. Tasks are stored locally in a .gitdo/ folder.

Installation

pip install gitdo

Usage

$ gitdo [command] [options]

Commands

• init: Initialize a new GitDo project
• add <task>: Add a new task to your project
• list: List all tasks (use --all to show completed tasks)
• complete <task_id>: Mark a task as completed
• remove <task_id>: Remove a task from your project

Example

# Initialize GitDo in your project
$ gitdo init
✓ GitDo initialized successfully!

# Add some tasks
$ gitdo add "Implement user authentication"
✓ Added task: Implement user authentication
ID: a1b2c3d4

$ gitdo add "Write unit tests"
✓ Added task: Write unit tests
ID: e5f6g7h8

# List all pending tasks
$ gitdo list

# Complete a task (you can use just the first few characters of the ID)
$ gitdo complete a1b2

# List all tasks including completed ones
$ gitdo list --all

# Remove a task
$ gitdo remove e5f6

Development

Setup

This project uses uv for dependency management.

1. Install uv:

   curl -LsSf https://astral.sh/uv/install.sh | sh
   

2. Clone the repository:

   git clone https://github.com/yourusername/gitdo.git
   cd gitdo
   

3. Install dependencies:

   uv sync --extra dev
   

Running Tests

# Run all tests
uv run pytest

# Run with coverage
uv run pytest --cov=gitdo --cov-report=html

# Run specific test file
uv run pytest tests/test_cli.py

# Run tests in watch mode (requires pytest-watch)
uv run ptw

Code Quality

This project uses Ruff for linting and formatting:

# Check code
uv run ruff check .

# Format code
uv run ruff format .

# Check and fix
uv run ruff check --fix .

Project Structure

gitdo/
├── src/
│   └── gitdo/
│       ├── __init__.py
│       ├── cli.py          # CLI interface
│       ├── models.py       # Data models
│       └── storage.py      # Storage handling
├── tests/
│   ├── conftest.py         # Pytest fixtures
│   ├── test_cli.py         # CLI tests
│   ├── test_models.py      # Model tests
│   └── test_storage.py     # Storage tests
├── pyproject.toml          # Project configuration
└── README.md

Releasing to PyPI

This project uses GitHub Actions for automated publishing to PyPI. Releases are triggered by pushing version tags.

Automated Release (Recommended)

Use the release script to create a new version:

# Create a new release (e.g., 0.2.0)
./scripts/release.sh 0.2.0

# Push to trigger the release
git push origin main --tags

The script will:

1. Update version in pyproject.toml and __init__.py
2. Create a git commit
3. Create a version tag (e.g., v0.2.0)

When you push the tag, GitHub Actions will:

1. Extract version from the tag
2. Build the package
3. Publish to PyPI using Trusted Publishing

Manual Build (Testing)

# Build the package locally
uv build

# Check the built package
ls -la dist/

License

MIT