kubernetes-client / python

Overview

This document outlines the CI/CD automation scripts associated with the Kubernetes Client for Python. The directory structure includes several items that could facilitate automated Continuous Integration and Continuous Deployment, primarily through GitHub Actions. Below are the relevant details and examples of scripts used in the CI/CD process.

CI/CD Components

GitHub Actions Workflows

In the .github/workflows directory, multiple YAML files define workflows that automate testing, deployment, and other CI/CD processes:

  • Test Workflow: test.yaml
  • End-to-End Workflows: e2e-master.yaml, e2e-release-*.yaml
  • Deployment Workflow: deploy-wiki.yaml

These workflows are executed automatically based on specified triggers, such as push or pull_request events.

Example of a CI/CD Workflow

Below is an example of a basic CI/CD pipeline defined in test.yaml.

name: CI Pipeline

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
    - name: Checkout code
      uses: actions/checkout@v2

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'

    - name: Install dependencies
      run: |
        pip install -r requirements.txt

    - name: Run tests
      run: |
        pytest tests/

General Step-by-Step CI/CD Process

  1. Code Checkout:

    • The workflow starts by checking out the code from the repository.

  2. Set Up Python Environment:

    • The workflow uses setup-python action to install the correct version of Python.

  3. Install Dependencies:

    • It runs a command to install all dependencies listed in requirements.txt.

  4. Testing:

    • Executes the test suite using pytest, ensuring code quality before deployment.

Deployment Workflows

For deployments, deploy-wiki.yaml contains steps similar to the testing jobs, but may include commands to package and upload artifacts or trigger deployment processes.

Example deployment step might resemble:

- name: Deploy to Wiki
  run: |
    git config --global user.email "[email protected]"
    git config --global user.name "GitHub Action"
    git clone https://github.com/username/repository.git wiki
    cp -r output/* wiki/

End-to-End Testing Workflows

Files like e2e-release-*.yaml implement end-to-end testing across various releases, validating complete functionality after new changes or deployments. They typically follow similar steps to the testing pipeline but might involve deploying to a staging environment and running higher-level acceptance tests.

Next Steps if CI/CD is Not Set Up

If CI/CD scripts are not yet configured:

  • Create Initial Workflows: Establish basic workflows in the .github/workflows directory.
  • Define Testing Strategies: Implement pytest or similar testing frameworks as part of the CI process.
  • Set Up Deployment: Ensure deployment strategies, including versioning and rollback mechanisms, are considered.

Conclusion

The automation provided in the CI/CD scripts significantly streamlines the development process of the Kubernetes Client for Python. Developers are encouraged to customize the existing scripts to better fit their project needs, ensuring robust testing and continuous deployment.

References

  • Kubernetes Client Python Documentation
  • GitHub Actions Documentation
  • pytest Documentation