Overview
This document outlines the CI/CD automation setup, detailing the specific scripts designed to facilitate Continuous Integration and Continuous Deployment (CI/CD) within the moj-analytical-services/splink_demos
project. This project currently does not have an established CI/CD system in place.
Current CI/CD Status
As of now, CI/CD integration has not been set up for this project. To implement a CI/CD system, consider the following next steps:
Choose a CI/CD Platform: Options include GitHub Actions, Jenkins, Travis CI, and GitLab CI.
Create Configuration Files: Define the pipeline in a configuration file relevant to the chosen CI/CD platform. For GitHub Actions, this would typically be located in the
.github/workflows/
directory.Define Pipeline Steps:
- Install dependencies.
- Run tests.
- Build the project.
- Deploy to an environment.
Ensure Automation: Integrate hooks to ensure that upon a commit to specific branches, the CI/CD pipeline activates.
Write testing scripts: Structure testing scenarios to confirm software integrity.
Example CI/CD Configuration (GitHub Actions)
If implementing GitHub Actions, the following is an example of a workflow configuration. Create the file .github/workflows/ci_cd.yml
:
name: CI/CD for Splink Demos
on:
push:
branches:
- main
pull_request:
branches:
- main
jobs:
build-and-test:
runs-on: ubuntu-latest
steps:
- name: Checkout Repository
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.9'
- 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 tests/
Conclusion
Establishing CI/CD pipelines enhances the reliability and efficiency of development workflows. While the current project does not have such functionality in place, following the outlined steps and utilizing the example configuration can set the project on a path toward effective CI/CD implementation.
Sources:
- GitHub Actions documentation for CI/CD workflows and configurations.
- Usage patterns and scripts common in Python projects.