Overview

Continuous Integration and Continuous Deployment (CI/CD) practices streamline the software development lifecycle by automating code changes, testing, and deployment. This documentation provides a step-by-step guide to implementing CI/CD for the moj-analytical-services/splink_demos project.

Current Status

As of now, the moj-analytical-services/splink_demos project does not have a CI/CD pipeline set up.

Next Steps to Implement CI/CD

  1. Select a CI/CD Service: Choose a CI/CD service provider (e.g., GitHub Actions, GitLab CI, CircleCI, Travis CI) based on your project’s requirements and team familiarity.

  2. Create Configuration Files: Depending on the selected CI/CD service, create the necessary configuration files. Below is an example using GitHub Actions.

  3. Set Up a Build and Test Workflow: Include build and testing steps to ensure the code is well-integrated.

  4. Integrate Deployment Steps: Set deployment commands if applicable.

  5. Configure Secrets and Environment Variables (if needed): Ensure any sensitive information is stored securely.

Example CI/CD Configuration using GitHub Actions

Below is an example configuration file for GitHub Actions that outlines a basic CI/CD process.

File: .github/workflows/ci-cd.yml

name: CI/CD Pipeline

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

jobs:
  build:
    runs-on: ubuntu-latest

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

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'  # Adjust based on project requirements

    - name: Install Dependencies
      run: |
        python -m venv venv
        source venv/bin/activate
        pip install -r requirements.txt

    - name: Run Tests
      run: |
        source venv/bin/activate
        pytest  # Assuming pytest is used for testing

  deploy:
    runs-on: ubuntu-latest
    needs: build

    steps:
    - name: Checkout Repository
      uses: actions/checkout@v2
    
    - name: Deploy Application
      run: |
        # Deployment logic goes here, for instance:
        echo "Deployment step executed"

Explanation of Each Step

  • on: Determines the events that trigger the workflow (e.g., on every push to main).

  • jobs: Defines the sequence of tasks in the CI/CD process.

  • build job:

    • runs-on: Specifies the environment for execution.
    • Checkout Repository: Uses the GitHub Action for checking out the current repository.
    • Set up Python: Configures the Python environment. Adjust the Python version as required.
    • Install Dependencies: Installs the Python packages listed in requirements.txt.
    • Run Tests: This step runs automated tests to ensure code changes do not introduce bugs.
  • deploy job: This job runs after the build job completes. It can include custom deployment scripts.

Conclusion

Setting up CI/CD for the moj-analytical-services/splink_demos project is vital for maintaining a secure, reliable, and automated workflow. Although the CI/CD is not yet established, the outlined steps and example configurations provide a solid foundation for implementing these practices.

References