python-ai-driven-development-pipeline-template

A comprehensive template for AI-driven Python development with full CI/CD pipeline support.

Features

• Multi-version Python support: Works with Python 3.9-3.13
• Comprehensive testing: pytest with async support and coverage reporting
• Code quality: Ruff (linting + formatting) + mypy (type checking)
• Pre-commit hooks: Automated code quality checks before commits
• CI/CD pipeline: GitHub Actions CI/CD with Python 3.13
• Changelog management: Scriv for conflict-free changelog (like Changesets in JS)
• Release automation: Automatic PyPI publishing and GitHub releases

Quick Start

Using This Template

1. Click "Use this template" on GitHub to create a new repository
2. Clone your new repository
3. Update pyproject.toml with your package name and description
4. Rename src/my_package to your package name
5. Update imports in tests and examples
6. Install dependencies and start developing!

Development Setup

# Clone the repository
git clone https://github.com/link-foundation/python-ai-driven-development-pipeline-template.git
cd python-ai-driven-development-pipeline-template

# Create a virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install in editable mode with development dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pip install pre-commit
pre-commit install

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=src --cov-report=term --cov-report=html

# Run specific test file
pytest tests/test_my_package.py

# Run with verbose output
pytest -v

Code Quality Checks

# Lint code (check for issues)
ruff check .

# Format code
ruff format .

# Type check
mypy src/

# Check file size limits
python scripts/check_file_size.py

# Run all checks
ruff check . && ruff format --check . && mypy src/ && python scripts/check_file_size.py

Project Structure

.
├── .github/
│   └── workflows/
│       ├── ci.yml              # CI/CD pipeline configuration
│       └── release.yml         # Release automation (PyPI + GitHub)
├── changelog.d/                # Changelog fragments (like .changeset/)
│   ├── README.md               # Fragment instructions
│   └── *.md                    # Individual changelog entries
├── examples/
│   └── basic_usage.py          # Usage examples
├── scripts/
│   ├── check_file_size.py      # File size validation script
│   ├── bump_version.py         # Version bumping utility
│   ├── version_and_commit.py   # CI/CD version management
│   ├── publish_to_pypi.py      # PyPI publishing script
│   └── create_github_release.py # GitHub release creation
├── src/
│   └── my_package/
│       ├── __init__.py         # Package entry point
│       └── py.typed            # Type marker file
├── tests/
│   ├── __init__.py
│   └── test_my_package.py      # Test suite
├── .gitignore                  # Git ignore patterns
├── .pre-commit-config.yaml     # Pre-commit hooks configuration
├── .ruff.toml                  # Ruff additional configuration
├── pyproject.toml              # Project configuration and dependencies
├── CHANGELOG.md                # Project changelog
├── CONTRIBUTING.md             # Contribution guidelines
├── LICENSE                     # Unlicense (public domain)
└── README.md                   # This file

Design Choices

Package Management

This template uses modern Python packaging standards:

• pyproject.toml: Single source of truth for project configuration
• hatchling: Modern build backend (PEP 517)
• src layout: Prevents accidental imports from source directory
• py.typed: Marks package as type-hinted for mypy

Code Quality Tools

• Ruff: Ultra-fast Python linter and formatter (replaces flake8, black, isort)

  • Configured for strict code quality standards
  • Integrates with pre-commit hooks
  • Consistent formatting across the project

• mypy: Static type checker

  • Strict mode enabled for maximum type safety
  • Ensures code correctness before runtime

• pytest: Modern testing framework

  • Support for async tests via pytest-asyncio
  • Coverage reporting via pytest-cov
  • Organized test structure with classes

Pre-commit Hooks

Automated checks run before each commit:

1. Basic checks (trailing whitespace, file endings, etc.)
2. Ruff linting and formatting
3. mypy type checking

This ensures code quality is maintained throughout development.

Changelog Management (Scriv)

This template uses Scriv for changelog management, which works similarly to Changesets in JavaScript projects:

• Fragment-based: Each PR adds a changelog fragment to changelog.d/
• Conflict-free: Multiple PRs can add fragments without merge conflicts
• Auto-collection: Fragments are automatically merged during release
• Category-based: Supports Added, Changed, Deprecated, Removed, Fixed, Security

# Create a changelog fragment (similar to `npx changeset`)
scriv create

# View pending fragments
ls changelog.d/*.md

CI/CD Pipeline

The GitHub Actions workflow provides:

1. Linting: Ruff linting, formatting, and mypy type checking
2. Changelog check: Warns if PRs are missing changelog fragments
3. Testing: Python 3.13 test suite
4. Building: Package building and validation
5. Coverage: Automatic upload to Codecov

Release Automation

The release workflow (release.yml) provides:

1. Integrated CI checks: Runs lint, test, and build before any release
2. Auto-release on push: Detects version changes and publishes automatically
3. Manual release: Trigger releases via workflow_dispatch
4. Fragment collection: Automatically collects changelog fragments
5. PyPI publishing: OIDC trusted publishing (no tokens needed)
6. GitHub releases: Automatic creation with CHANGELOG content

Important: All releases require passing CI checks (lint + test + build). No release will ever happen without passing tests, ensuring code quality and stability.

Configuration

Updating Package Name

After creating a repository from this template:

1. Update pyproject.toml:

   • Change name field
   • Update project.urls
   • Update tool.hatch.build.targets.wheel.packages

2. Rename src/my_package/ directory to your package name

3. Update imports:

   • tests/test_my_package.py
   • examples/basic_usage.py
   • .ruff.toml (known-first-party)

Ruff Configuration

Customize Ruff in pyproject.toml under [tool.ruff]. Current configuration:

• 88-character line length (Black-compatible)
• Comprehensive linting rules (E, W, F, I, N, UP, B, etc.)
• Strict equality enforcement
• Automatic import sorting

mypy Configuration

Configured in pyproject.toml under [tool.mypy]:

• Strict mode enabled
• No implicit optionals
• Warn on unused ignores
• Full type checking coverage

pytest Configuration

Configured in pyproject.toml under [tool.pytest.ini_options]:

• Test discovery in tests/ directory
• Source path includes src/
• Strict marker enforcement
• Coverage configuration included

Scripts Reference

Script	Description
pytest	Run all tests
pytest --cov=src	Run tests with coverage
ruff check .	Lint code
ruff format .	Format code
mypy src/	Type check code
python scripts/check_file_size.py	Check file size limits
pre-commit run --all-files	Run all pre-commit hooks
scriv create	Create a changelog fragment
scriv collect --version X.Y.Z	Collect fragments into CHANGELOG.md

Example Usage

from my_package import add, multiply, delay
import asyncio

# Basic arithmetic
result = add(2, 3)  # 5
product = multiply(2, 3)  # 6

# Async operations
async def main():
    await delay(1.0)  # Wait for 1 second

asyncio.run(main())

See examples/basic_usage.py for more examples.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Development Workflow

1. Fork the repository
2. Create a feature branch: git checkout -b feature/my-feature
3. Make your changes and add tests
4. Run quality checks: ruff check . && ruff format . && mypy src/ && pytest
5. Commit your changes (pre-commit hooks will run automatically)
6. Push and create a Pull Request

Testing

This project maintains high test coverage and uses pytest for testing:

• Unit tests for all functions
• Async test support
• Coverage reporting
• Cross-platform compatibility testing

License

Unlicense - Public Domain

This is free and unencumbered software released into the public domain. See LICENSE for details.

Acknowledgments

Inspired by js-ai-driven-development-pipeline-template.

Resources

• Python Packaging Guide
• pytest Documentation
• Ruff Documentation
• mypy Documentation
• Pre-commit Documentation
• Scriv Documentation