daytonaio / daytona

This documentation provides an in-depth overview of the CI/CD automation scripts utilized in the daytonaio/daytona project. The CI/CD system is crucial for automating the testing, building, and deployment processes. In daytonaio/daytona, the CI/CD automation is primarily managed using GitHub Actions workflows.

Current CI/CD Setup

The daytonaio/daytona project currently has a CI/CD pipeline set up using GitHub Actions, with several workflow files present in the .github/workflows/ directory. Below is a step-by-step guide to understanding how the CI/CD processes are integrated and what specific scripts are involved.

Workflow Files Overview

  1. build_pr.yaml

    • This workflow is triggered on pull requests to ensure that any changes made do not break the build. It runs the build process for the project whenever a pull request is created or updated.

  2. license_check_pr.yaml

    • This workflow checks whether the licenses of all dependencies comply with the project’s licensing requirements. This is essential for ensuring that the project adheres to legal standards.

  3. lint_pr.yaml

    • This workflow performs code linting to enforce coding standards across the codebase. It helps maintain code quality and readability.

  4. support_stale_and_close.yaml

    • This workflow manages stale issues and pull requests, ensuring that inactive items are closed or labeled appropriately to keep the project organized.

  5. update_swagger_push_tag.yaml

    • This workflow updates and pushes changes to the Swagger API documentation, ensuring that it reflects the latest state of the API.

Key CI/CD Automation Scripts

1. Build Automation

The build process ensures that the code compiles without errors. An example snippet to establish the build process in build_pr.yaml might look like this:

name: Build Pull Request

on:
  pull_request:
    branches: [ main ]
    
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2
        
      - name: Setup Go
        uses: actions/setup-go@v2
        with:
          go-version: '1.17'  # Specify the Go version
        
      - name: Build
        run: go build -v ./...

2. License Check

The license check ensures that all dependencies are compliant with the project’s licensing. Here’s an example of what the license_check_pr.yaml might include:

name: License Check

on:
  pull_request:
    branches: [ main ]

jobs:
  check:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Check licenses
        run: ./hack/license_check.sh  # Assuming a script exists for license checking

3. Linting

Linting is crucial for maintaining the quality of code. The following is a basic structure for the lint_pr.yaml:

name: Lint Code

on:
  pull_request:
    branches: [ main ]

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Run Linter
        run: golangci-lint run ./...

Running Tests with Build Constraints

The project is designed with specific build constraints for testing. When running tests, the build constraint // +build testing is utilized to filter which files are included in the test build.

Example test execution in a CI/CD script:

      - name: Run Tests
        run: go test -v -tags=testing ./...

Docker Integration

A Dockerfile is provided in the project to facilitate containerized environments for running Daytona. Below is an excerpt from the Dockerfile to show how Docker is set up for the CI/CD workflow:

FROM ubuntu:22.04

RUN apt update -y && \
    apt install curl libgit2-1.1 -y

USER daytona

ENTRYPOINT ["sudo", "dockerd"]

This Dockerfile facilitates the creation of a Docker container configured to install necessary dependencies for running the application.

Next Steps

If the CI/CD is not yet fully set up for your development environment, consider the following actions:

  1. Define Workflows: Establish the necessary workflows based on your project’s needs for building, testing, and deploying.
  2. Create Docker Integration: Utilize Docker containers to standardize the environment across different stages of your CI/CD pipeline.
  3. Implement Testing: Ensure that your scripts include comprehensive testing stages to maintain code quality.
  4. Integrate Notifications: Set up notification mechanisms in the CI/CD pipeline to alert developers about the status of builds and tests.

In conclusion, the daytonaio/daytona project is well-prepared for continuous integration and deployment through its GitHub Actions workflows. This setup not only helps automate critical processes but also fosters high-quality software development practices.