在 GitHub Actions 中将 minikube 设置为 CI 步骤

要安装并启动 minikube 集群，请将以下步骤添加到您的 GitHub Actions 工作流程中。

steps:
- name: start minikube
  id: minikube
  uses: medyagh/setup-minikube@latest

更多信息请参见 GitHub Actions marketplace 中的 setup-minikube。

示例：在每次 PR 时构建镜像并部署到 minikube

要求

• 有效的 Dockerfile
• 一个带有 imagePullPolicy: Never 的有效 deployment.yaml 文件，示例如下

创建工作流程

• 将此 YAML 复制到您的工作流程文件，例如 .github/workflows/pr.yml 中

  name: CI
  on:
    - pull_request
  jobs:
    job1:
      runs-on: ubuntu-latest
      name: build example and deploy to minikube
      steps:
      - uses: actions/checkout@v4
        with:
          repository: medyagh/local-dev-example-with-minikube
      - name: Start minikube
        uses: medyagh/setup-minikube@latest
      - name: Try the cluster!
        run: kubectl get pods -A
      - name: Build image
        run: |
          minikube image build -t local/devex:v1 .
      - name: Deploy to minikube
        run:
          kubectl apply -f deploy/k8s.yaml
          kubectl wait --for=condition=ready pod -l app=local-devex
      - name: Test service URLs
        run: |
          minikube service list
          minikube service local-devex-svc --url
          echo "------------------opening the service------------------"
          curl $(minikube service local-devex-svc --url)
  

上述示例工作流程 YAML 将在每次 PR 时执行以下步骤

1. 检出源代码
2. 安装并启动 minikube
3. 通过运行 kubectl 命令试用集群
4. 使用 minikube 的 docker-env 功能构建 Docker 镜像
5. 将部署 YAML 文件应用到 minikube
6. 检查 minikube 中已创建的服务

包含服务的 minikube 部署 YAML 示例

apiVersion: apps/v1
kind: Deployment
metadata:
    name: example
spec:
    selector:
        matchLabels:
            app: example
    replicas: 2
    template:
        metadata:
            labels:
                app: example
        spec:
            containers:
                - name: example-api
                  imagePullPolicy: Never
                  image: local/example:latest
                  resources:
                      limits:
                          cpu: 50m
                          memory: 100Mi
                      requests:
                          cpu: 25m
                          memory: 10Mi
                  ports:
                      - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
    name: example
spec:
    type: NodePort
    selector:
        app: example
    ports:
        - port: 8080
          targetPort: 8080