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Lightweight automation tool designed to streamline the transition from development to distribution.

Project description

pyforge-deploy

Note: This is a personal/educational project. It is not intended to compete with established tools

License: MIT

pyforge-deploy is a lightweight automation CLI for Python projects, streamlining the transition from development to distribution. It automates Docker image creation, version management, and PyPI publishing with a simple, intelligent interface.


Features

  • Docker Integration: Generates a project-specific Dockerfile from a Jinja2 template and detects the required Python version and dependencies.
  • Version Management: Increments the project version (patch, minor, major) and verifies the new version is greater than the latest release on PyPI.
  • PyPI Deployment: Builds source and wheel distributions and uploads them to PyPI or TestPyPI using token authentication.
  • Dependency Detection: Scans for dependencies using pyproject.toml, requirements.txt, or import analysis.
  • CLI Commands: Provides commands for building, deploying, and inspecting the project.

Installation

Available on PyPI: https://pypi.org/project/pyforge-deploy/.

pip install pyforge-deploy

Note: Docker must be installed and running for Docker-related features.


Usage

Get a list of all available commands and options:

pyforge-deploy --help

Common Commands

  • Build a Docker Image:

    pyforge-deploy docker-build --entry-point src/pyforge_deploy/cli.py --image-tag my-app:1.0.0
    
  • Deploy to PyPI (Test):

    pyforge-deploy deploy-pypi --test --bump patch
    
  • Deploy a Specific Version:

    pyforge-deploy deploy-pypi --version 2.1.0
    
  • Show Detected Dependencies:

    pyforge-deploy show-deps
    
  • Show Project Version:

    pyforge-deploy show-version
    

Configuration

For PyPI publishing, provide an API token. Create a .env file in your project root:

PYPI_TOKEN=pypi-your-token-here

Or export PYPI_TOKEN as an environment variable in your shell or CI/CD system.


How It Works

  • Version Engine: Resolves project version from pyproject.toml, __about__.py, or .version_cache. Fetches latest PyPI version to avoid conflicts, writes final version to src/<package_name>/__about__.py.
  • Docker Builder: Detects dependencies and Python version, renders Dockerfile.j2, and builds the image.
  • PyPI Distributor: Cleans build artifacts, runs python -m build, uploads distributions with twine.

Testing

Run the full test suite with:

pytest

Unit tests cover the CLI and builder components, located in the tests/ directory.

License

MIT License. See LICENSE for details..

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