stevedunn / oglr

CI/CD Automation Scripts for stevedunn/oglr

CI/CD automation is pivotal for modern software development. In the stevedunn/oglr project, automation scripts for Continuous Integration (CI) and Continuous Deployment (CD) are primarily found under the build/ directory. This section provides a detailed overview of how CI/CD processes are automated using the existing scripts.

1. Build Scripts Overview

The primary build script in the project is Build.proj, located within the build/ directory. This file is utilized to manage the build process and can be invoked using MSBuild. It orchestrates various tasks, including compilation, packaging, and running tests.

2. Key Building Blocks

  • MSBuild Tasks: The project utilizes custom build tasks defined in Build.tasks. These tasks extend the functionality of MSBuild, allowing for specific actions to be performed during the build.

  • Version Management: The SignalR.versions.targets file is used to manage versioning for dependencies in the project.

3. Example Usage of Build Scripts

To execute the build process using the Build.proj file, the following command can be run in a terminal:

msbuild build/Build.proj

This command initiates the build process as defined in the Build.proj script.

4. Configuration of CI/CD

Although there are foundational automation scripts in place, explicit CI/CD pipeline definitions (like those you might find in GitHub Actions, Azure DevOps, or CircleCI) are not present in the repository. Setting up a CI/CD pipeline typically involves leveraging the existing build scripts to define your integration and deployment workflows.

5. Next Steps for CI/CD Setup

To implement a CI/CD pipeline for stevedunn/oglr, consider the following steps:

  1. Choose a CI/CD Platform: Select a CI/CD platform, such as GitHub Actions or Azure DevOps, based on your team’s preferences and requirements.

  2. Create Pipeline Configuration Files:

    • For GitHub Actions, create a YAML file in the .github/workflows/ directory to specify the CI/CD pipeline.
    • For Azure DevOps, create a pipeline definition using YAML inside the .azure-pipelines/ directory or through the Azure DevOps portal.

  3. Pipeline Example (GitHub Actions)

    Here’s a basic example of what a GitHub Actions YAML file could look like:

    name: CI Pipeline

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

jobs:
  build:
    runs-on: windows-latest

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

    - name: Setup .NET
      uses: actions/setup-dotnet@v1
      with:
        dotnet-version: '6.0.x'

    - name: Build Solution
      run: msbuild build/Build.proj

    - name: Run Tests
      run: msbuild src/Oglr.Tests/Gleed2D.Tests.csproj /p:Configuration=Debug

  4. Continuous Deployment Strategies: Define when and how to deploy your application, possibly leveraging the same build scripts for deployment steps.

  5. Integration with Notifications: Set up notifications to be alerted on build results or deployment statuses using webhooks or integration with platforms like Slack or Microsoft Teams.

By following these steps and leveraging the existing build scripts, you can efficiently implement CI/CD automation for the stevedunn/oglr project.

The information referenced is derived from the structured directory listing of the project provided.