pywf-internal-proprietary 0.1.1

Python Workflow for internal proprietary project.

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Welcome to pywf_internal_proprietary Documentation

pywf_open_source streamlines open source Python project development by providing a unified workflow automation framework. It eliminates the cognitive overhead of switching between projects by normalizing common development tasks through a consistent interface.

The library automates common operations for projects using:

• A public GitHub repo to host your project.

• Use poetry to manage your project dependencies and build distribution package.

• Use pytest unit test framework for testing.

• Use GitHub Actions to run your test.

• Use Codecov.io to publish your test coverage result.

• Use sphinx-doc to build your documentation website.

• A private CloudFlare Pages project that requires email login to host your documentation website.

• A private AWS S3 Bucket to store your historical versioned document site as a record.

• Use twine to publish your package to AWS CodeArtifact.

• Use AWS CodeArtifact to publish your package.

• Use GitHub Release to track your historical assets.

It assumes the following code folder structure:

.github/workflows/main.yml # GitHub Actions CI/CD configuration file
${package_name}/
${package_name}/__init__.py
${package_name}/*.py
docs/
docs/source # documentation source folder
docs/source/conf.py # sphinx doc configuration file
tests/ # unit test folder
bin/ # development workflow automation scripts
bin/pywf.py
bin/s01_....py
bin/s02_....py
bin/...
Makefile # makefile for automation
.coveragerc # code coverage test configuration file
codecov.yml # code coverage CI rules configuration file
pyproject.toml # Python project configuration file, no setup.py

Project Maintainer Note

This project follows the best practice mentioned in THIS DOCUMENT.

• Seed Repository (Private Git Repo to simulate internal proprietary project): cookiecutter_pywf_internal_proprietary_demo-project

• Automation Library: pywf_internal_proprietary-project

• Cookiecutter Template: cookiecutter-pywf_internal_proprietary

Install

pywf_internal_proprietary is released on PyPI, so all you need is to:

$ pip install pywf-internal-proprietary

To upgrade to latest version:

$ pip install --upgrade pywf-internal-proprietary