Overview

This project currently does not have set up Continuous Integration (CI) or Continuous Deployment (CD) automation scripts. However, various mechanisms are in place to facilitate CI/CD processes, primarily through GitHub Actions workflows and a Makefile.

Existing Workflows

In the directory .github/workflows, several YAML files represent workflows that potentially can be adapted for CI/CD pipelines:

1. ci.yml: This file typically defines the CI process, including steps for building, testing, and linting the code.

2. codeql.yml: This workflow is related to security analysis using the CodeQL tool, which can identify vulnerabilities in the codebase.

3. merge.yml: This may automate checks or steps taken upon pull request merges.

4. scorecards.yml: This could be used to evaluate the health of the project on various metrics.

The following sections outline how to set up CI/CD automation using these elements and provide examples of scripts and configurations using the provided structure.

Step-by-Step Guide for CI/CD Automation

1. CI/CD Configuration via GitHub Actions

ci.yml Example

The ci.yml workflow could look something like this:

name: CI

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

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout
        uses: actions/checkout@v2
      
      - name: Set up Go
        uses: actions/setup-go@v2
        with:
          go-version: '1.19' # Specify the Go version

      - name: Install Dependencies
        run: make check-dependencies

      - name: Lint Code
        run: make lint

      - name: Run Tests
        run: make test

      - name: Build
        run: make binary

This script covers checkout, setting up Go, installing dependencies, linting code, running tests, and building the project.

2. Using Makefile for CI/CD Tasks

The Makefile contains several targets that assist in CI/CD automation. The following are some of them along with their expected commands:

• make lint: Runs the linter over the codebase. This is critical for maintaining code quality.

• make test: Executes unit tests to validate the functionality of the code.

• make build: Builds the application. This target should create the binary outputs which can be deployed.

• make e2e: Executes end-to-end tests that may check the integration of various components.

• make validate-go-mod: Ensures that the Go modules are correctly referenced and up-to-date.

3. Additional Modern Practices

To enhance the automation scripts, consider implementing:

• Testing & Code Coverage: Modify the test job in ci.yml to also include coverage reports. You can update the Makefile target for tests to produce coverage reports, which can be published as artifacts by GitHub Actions.

• Automatic Deployments: If a deployment strategy exists, augment the CI workflow to include deployment steps to your chosen environment(s) based on the branch or tag pushed.

• Docker Usage: Given that the project includes a Dockerfile and docker-compose.yml, it can be beneficial to build and push Docker images as part of CI. You could add steps in ci.yml to log in to a Docker repository, build the image, and push it.

Example Addition to ci.yml for Docker Deployment

- name: Build Docker Image
  run: |
    docker build -t myrepo/myimage:${{ github.sha }} .
    
- name: Push Docker Image
  env:
    DOCKER_USERNAME: ${{ secrets.DOCKER_USERNAME }}
    DOCKER_PASSWORD: ${{ secrets.DOCKER_PASSWORD }}
  run: |
    echo $DOCKER_PASSWORD | docker login -u $DOCKER_USERNAME --password-stdin
    docker push myrepo/myimage:${{ github.sha }}

Next Steps

Since CI/CD is not yet fully established, consider the following steps:

1. Set up the ci.yml file to automate continuous integration processes.
2. Explore utilizing the GitHub Actions to implement deployment workflows.
3. Incorporate additional scripts and Makefile targets as necessary to ensure quality and stability through testing.

Consider reviewing the existing workflows in .github/workflows for additional features that may augment your CI/CD pipeline.

Source: Directory layout and files provided by the user input.