97 lines
3.2 KiB
YAML
97 lines
3.2 KiB
YAML
name: 手动 AiDA back-java 开发分支构建部署
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on:
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workflow_dispatch:
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jobs:
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build_and_deploy:
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# 注意：如果你的 Runner 是直接装在宿主机上的二进制文件，这里通常用自建的标签，如 'self-hosted'
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# 如果是 Docker 形式的 Runner，请确保它挂载了宿主机的目录
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runs-on: ubuntu-latest
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env:
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# 宿主机存放代码和运行容器的物理路径
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LOCAL_DEPLOY_PATH: /mnt/process/A6000_Server/AiDA_Workspace/Java_Server_workspace
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JAR_NAME: aida-0.0.1-SNAPSHOT.jar
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steps:
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- name: 0.记录开始时间
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id: build_start_time
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run: echo "current_time=$(TZ='Asia/Hong_Kong' date '+%Y-%m-%d %H:%M:%S %Z')" >> $GITHUB_OUTPUT
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- name: 1.检出代码
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uses: actions/checkout@v4
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with:
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ref: dev/dev
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- name: 2.Set up JDK 21
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uses: actions/setup-java@v5
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with:
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java-version: '21'
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distribution: 'temurin'
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cache: 'maven'
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- name: 3.构建 jar 包
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run: |
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echo "===== 开始构建 JAR ====="
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mvn -B clean package -DskipTests -Pdev
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- name: 4.同步文件到宿主机部署目录
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run: |
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echo "===== 复制文件到目标路径 ====="
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# 确保部署目录存在
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mkdir -p ${{ env.LOCAL_DEPLOY_PATH }}
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# 复制 JAR 包、Dockerfile 和 Compose 文件
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cp target/${{ env.JAR_NAME }} ${{ env.LOCAL_DEPLOY_PATH }}/
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# 直接在目标位置生成/更新配置文件
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cat > ${{ env.LOCAL_DEPLOY_PATH }}/Dockerfile << 'EOF'
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FROM openjdk:21-ea-21-jdk-slim
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VOLUME /tmp
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RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime
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RUN echo 'Asia/Shanghai' > /etc/timezone
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ADD ./${{ env.JAR_NAME }} /app.jar
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ENTRYPOINT ["java","-jar","/app.jar"]
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EOF
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cat > ${{ env.LOCAL_DEPLOY_PATH }}/docker-compose.yml << 'EOF'
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version: '3'
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services:
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aida_back:
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container_name: AiDA_Search_Java_Serve
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build: .
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volumes:
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- ./log:/log
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ports:
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- '1608:5567'
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restart: always
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EOF
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- name: 5.本地触发 Docker 部署
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run: |
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echo "===== 重启服务 ====="
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cd ${{ env.LOCAL_DEPLOY_PATH }}
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docker compose down || true
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docker compose up -d --build
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echo "===== 清理冗余镜像 ====="
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docker image prune -f
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echo "部署完成！"
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docker compose ps
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- name: 6.发送通知邮件
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if: always()
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uses: dawidd6/action-send-mail@v3
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with:
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server_address: smtp.gmail.com
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server_port: 465
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username: ${{ secrets.MAIL_USERNAME }}
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password: ${{ secrets.MAIL_PASSWORD }}
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subject: 'Gitea Actions (Local): ${{ job.status }} - AiDA Java'
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to: 'cgzhou@aidlab.hk,zchengrong@yeah.net'
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body: |
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项目: AiDA back-java search (本地部署)
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状态: ${{ job.status }}
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路径: ${{ env.LOCAL_DEPLOY_PATH }}
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时间: ${{ steps.build_start_time.outputs.current_time }} |