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CI/CD with Github actions

.github directory:

.github
├── actions
│   └── setup-poetry-env
│       └── action.yml
└── workflows
├── build-and-deploy.yml
├── deploy-docs.yml
├── publish-package.yml
└── test-check-build.yml

The .github directory is a special directory in a GitHub repository that contains configuration files related to GitHub-specific features, such as GitHub Actions for CI/CD, issue templates, and pull request templates. In this case, your .github directory is configured to manage CI/CD workflows using GitHub Actions. Here's a detailed explanation of each component and file:

.github Directory

The .github directory contains subdirectories and files that define custom GitHub workflows and actions to automate tasks like testing, building, deploying, and publishing.

1. actions Subdirectory

The actions subdirectory contains reusable custom GitHub Actions. These are defined in YAML files and can be used across your workflows to perform specific tasks.

setup-poetry-env Subdirectory

This folder contains the configuration for a custom action that is likely used to set up a Python Poetry environment in your workflows.

  • action.yml This is the metadata file that defines the custom to setup a Python Poetry environment.

Purpose: This custom action streamlines the setup of the Poetry environment in your workflows, ensuring consistency and reusability.

2. workflows Subdirectory

The workflows directory contains YAML files that define GitHub Actions workflows. Each file represents a workflow that automates specific tasks, triggered by events like push, pull_request, or on a schedule.

build-and-deploy.yml

This workflow automates the build and deployment process for your project.

  • Purpose: Ensures that your application is built correctly and deployed to the intended environment (e.g., staging or production) after passing tests.
  • Typical Steps:
    • Checkout the repository code.
    • Build the project (e.g., compile code or containerize the application).
    • Run tests to verify the build.
    • Deploy the built artifact to the target environment (e.g., a server or cloud platform).

deploy-docs.yml

This workflow handles the deployment of your project documentation.

  • Purpose: Automates the generation and publishing of documentation to GitHub Pages.
  • Typical Steps:
    • Generate documentation files using a mkdocs.
    • Upload or deploy the generated documentation to GitHub Pages.

publish-package.yml

This workflow manages the publishing of your package to a PyPI package registry PyPI.

  • Purpose: Automates the process of packaging and releasing your software when a new version is tagged.
  • Typical Steps:
    • Validate versioning (e.g., Semantic Versioning).
    • Build the package (e.g., a Python wheel ).
    • Publish the package to a registry (e.g., PyPI).

test-check-build.yml

This workflow ensures that your code is tested and validated for quality and correctness.

  • Purpose: Provides a continuous testing pipeline to maintain code integrity.
  • Typical Steps:
    • Run automated tests (e.g., unit tests, integration tests).
    • Check code quality (e.g., using linters like flake8 or eslint).
    • Verify that the project builds successfully.

Summary

Your .github directory is structured to manage and automate critical development tasks through GitHub Actions. Here's a quick overview:

  • Custom Action (setup-poetry-env): Provides reusable functionality for setting up a Poetry environment.
  • Workflows:
    • build-and-deploy.yml: Automates application building and deployment.
    • deploy-docs.yml: Manages the deployment of project documentation.
    • publish-package.yml: Handles publishing of your package to a registry.
    • test-check-build.yml: Ensures code quality and integrity through automated testing and validation.

These configurations enable streamlined CI/CD processes, improving development efficiency and maintaining high-quality code practices.