I used Github actions to create a CI workflow for the project.
The workflow to build and run the tests is defined in .github/workflows/go.yml and runs on every push to the repository.
The workflow first sets up the postgres database needed for the tests as a service.
It uses actions/checkout@v3 to checkout the repository and actions/setup-go@v4 to setup the required go environment, after which it installs the dependencies with go mod download. Once the dependencies are installed, the project is build with go build and the tests are run with go test.
.go.yml
# This workflow will build a golang project
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-go
name: Go
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
jobs:
build:
runs-on: ubuntu-latest
env:
APP_DB_USERNAME: postgres
APP_DB_PASSWORD: postgres
APP_DB_NAME: postgres
APP_JWT_SECRET: postgres
services:
postgres:
image: postgres:latest
env:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: postgres
ports:
- 5432:5432
options: --health-cmd pg_isready --health-interval 10s --health-timeout 5s --health-retries 3
steps:
- uses: actions/checkout@v3
- name: Set up Go
uses: actions/setup-go@v4
with:
go-version: 1.19
- name: Install dependencies
run: |
cd src
go mod download
- name: Build
run: |
cd src
go build -v
- name: Test
run: |
cd src
go test -vThis should display the status of the workflow
I used the sonarcloud template to create my workflow for the sonarcloud analysis and followed all of the steps mentioned in the template. I also needed to set up a New Code definition in order for the quality gate to work.
.sonarcloud.yml
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# This workflow helps you trigger a SonarCloud analysis of your code and populates
# GitHub Code Scanning alerts with the vulnerabilities found.
# Free for open source project.
# 1. Login to SonarCloud.io using your GitHub account
# 2. Import your project on SonarCloud
# * Add your GitHub organization first, then add your repository as a new project.
# * Please note that many languages are eligible for automatic analysis,
# which means that the analysis will start automatically without the need to set up GitHub Actions.
# * This behavior can be changed in Administration > Analysis Method.
#
# 3. Follow the SonarCloud in-product tutorial
# * a. Copy/paste the Project Key and the Organization Key into the args parameter below
# (You'll find this information in SonarCloud. Click on "Information" at the bottom left)
#
# * b. Generate a new token and add it to your Github repository's secrets using the name SONAR_TOKEN
# (On SonarCloud, click on your avatar on top-right > My account > Security
# or go directly to https://sonarcloud.io/account/security/)
# Feel free to take a look at our documentation (https://docs.sonarcloud.io/getting-started/github/)
# or reach out to our community forum if you need some help (https://community.sonarsource.com/c/help/sc/9)
name: SonarCloud analysis
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
workflow_dispatch:
permissions:
pull-requests: read # allows SonarCloud to decorate PRs with analysis results
jobs:
Analysis:
runs-on: ubuntu-latest
steps:
- name: Analyze with SonarCloud
# You can pin the exact commit or the version.
# uses: SonarSource/sonarcloud-github-action@de2e56b42aa84d0b1c5b622644ac17e505c9a049
uses: SonarSource/sonarcloud-github-action@de2e56b42aa84d0b1c5b622644ac17e505c9a049
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Needed to get PR information
SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }} # Generate a token on Sonarcloud.io, add it to the secrets of this repo with the name SONAR_TOKEN (Settings > Secrets > Actions > add new repository secret)
with:
# Additional arguments for the sonarcloud scanner
args:
# Unique keys of your project and organization. You can find them in SonarCloud > Information (bottom-left menu)
# mandatory
-Dsonar.projectKey=blazing-panda_go-mux
-Dsonar.organization=blazing-panda
# Comma-separated paths to directories containing main source files.
#-Dsonar.sources= # optional, default is project base directory
# When you need the analysis to take place in a directory other than the one from which it was launched
#-Dsonar.projectBaseDir= # optional, default is .
# Comma-separated paths to directories containing test source files.
#-Dsonar.tests= # optional. For more info about Code Coverage, please refer to https://docs.sonarcloud.io/enriching/test-coverage/overview/
# Adds more detail to both client and server-side analysis logs, activating DEBUG mode for the scanner, and adding client-side environment variables and system properties to the server-side log of analysis report processing.
#-Dsonar.verbose= # optional, default is falseFor running this application you need to have docker installed and fire up a postgres database with this command:
docker run -it -p 5432:5432 -e POSTGRES_HOST_AUTH_METHOD=trust -d postgres
Following this, you should set up the following environment variables:
export APP_JWT_SECRET=postgres export APP_DB_USERNAME=postgres export APP_DB_PASSWORD= export APP_DB_NAME=postgres
The test can be run via:
go test -v


