kind: pipeline
type: docker
name: default

# 触发分支
trigger:
  branch:
    - master
    - develop

steps:

  # 获取缓存 (首次部署注释掉此处)
  - name: restore-cache
    image: drillster/drone-volume-cache
    settings:
      restore: true
      mount:
        - /root/.m2/repository
    volumes:
      - name: repository
        path: /cache

  # 打包 prod
  - name: build-prod
    image: matderosa/maven-3.8-openjdk-17-gcc8.5
    volumes: # 将容器内目录挂载到宿主机，仓库需要开启Trusted设置
      - name: maven-cache
        path: /root/.m2 # 将maven下载依赖的目录挂载出来，防止重复下载
      - name: maven-build
        path: /app/build # 将应用打包好的Jar和执行脚本挂载出来
    commands:
      - mvn clean package -P prod -DskipTests #(-DskipTests 跳过测试)
      # (此时拷贝的内容是仓库分支拉下来的代码)
      - mkdir -p /app/build/target
      - cp -r target/libs /app/build/libs #(有新依赖需要打开)
      # 将打包好的 Jar包 拷贝到指定目录
      - cp target/test.jar /app/build/target/test.jar
      # 将配置文件从最新的分支 拷贝到目标目录
      - cp Dockerfile /app/build/Dockerfile
      - cp docker-compose.yml /app/build/docker-compose.yml
    when:
      branch:
        master

  # 打包 dev
  # - 在同个服务器时，docker-compose.yml 需要修改服务名
  - name: build-dev
    image: matderosa/maven-3.8-openjdk-17-gcc8.5
    volumes:
      - name: maven-cache
        path: /root/.m2
      - name: maven-build-dev
        path: /app/build
    commands:
      - mvn clean package -P dev -DskipTests
      - mkdir -p /app/build/target
 #      - cp -r target/libs /app/build/libs 有新依赖需要打开
      - cp target/test-dev.jar /app/build/target/test-dev.jar
      - cp Dockerfile /app/build/Dockerfile
      - cp docker-compose.yml /app/build/docker-compose.yml
    when:
      branch:
        develop

  # 传输 prod
  - name: scp-master
    image: appleboy/drone-scp
    settings:
      port: 22
      host:
        from_secret: ssh_host # 服务器地址
      username:
        from_secret: ssh_user # 用户名
      password:
        from_secret: ssh_pwd # 密码
      command_timeout: 5m
      source:
        - target/test.jar
      target: /home/TestApp/
    when:
      branch: master
      path:
        - "!db/**"
        - "!README.md"

  # 部署 prod
  - name: deploy-ssh-prod
    image: appleboy/drone-ssh
    settings:
      port: 22
      host:
        from_secret: ssh_host
      username:
        from_secret: ssh_user
      password:
        from_secret: ssh_pwd
      command_timeout: 1m
      script:
        # (此时是在 SSH登录服务器 的作用域)
        # Docker 启动
        - cd /home/TestApp
        # 根据 Dockerfile 配置创建镜像 (名称需要小写)
        - sudo docker build -t test .
        # 停止容器
        - sudo docker-compose down
        # 启动容器 (根据 docker-compose.yml 配置)
        - sudo docker-compose up -d
        - sudo echo "Docker App started."
    when:
      branch: master

  # 传输 dev
  - name: scp-develop
    image: appleboy/drone-scp
    settings:
      port: 22
      host:
        from_secret: ssh_host
      username:
        from_secret: ssh_user
      password:
        from_secret: ssh_pwd
      command_timeout: 5m
      source:
        - target/test-dev.jar
      target: /home/TestAppDev/
    when:
      branch: develop

  # 部署 dev
  - name: deploy-ssh-dev
    image: appleboy/drone-ssh
    settings:
      port: 22
      host:
        from_secret: ssh_host
      username:
        from_secret: ssh_user
      password:
        from_secret: ssh_pwd
      command_timeout: 1m
      script:
        - cd /home/TestAppDev
        - sudo docker build -t test-dev .
        - sudo docker-compose down
        - sudo docker-compose up -d
        - sudo echo "Docker App started."
    when:
      branch: develop

  # 清除冗余镜像
  - name: cleanup
    image: docker:dind
    volumes:
      - name: docker-sock
        path: /var/run/docker.sock
    when:
      status: [ success ]
    commands:
      # 删除1小时前创建的未使用镜像
      - docker image prune -f --filter "until=1h"

volumes: # 定义流水线挂载目录，用于共享数据
  - name: maven-build
    host:
      path: /home/TestApp # 从宿主机中挂载的目录
  - name: maven-build-dev
    host:
      path: /home/TestAppDev # 从宿主机中挂载的目录
  - name: maven-cache
    host:
      path: /root/docker/maven/cache
  - name: docker-sock
    host:
      path: /var/run/docker.sock