BeGroom/.github/workflows/deploy.yml at main · YBSeok/BeGroom · GitHub

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name: CI/CD Pipeline

on:
  push:
    branches: [ "main" ]

jobs:
  build-and-deploy:
    runs-on: ubuntu-latest

    steps:
      #1. 소스 코드 가져오기
      - name: Checkout code
        uses: actions/checkout@v4

      #2. Java 25 환경 설정 및 Gradle 캐싱
      - name: Set up JDK 25
        uses: actions/setup-java@v4
        with:
          java-version: '25'
          distribution: 'temurin'
          cache: gradle

      #3. application-prod.yml 보안 정보 주입
      - name: Create application-prod.yml
        run: |
          mkdir -p src/main/resources
          echo "${{ secrets.APP_PROD_YML }}" > src/main/resources/application-prod.yml

      #4. 빌드 (수동: ./gradlew clean build)
      - name: Build with Gradle
        run: |
          chmod +x gradlew
          ./gradlew clean build -x test

      #5. 도커 이미지 빌드 (수동: --platform linux/amd64 적용)
      - name: Build and Save Docker Image
        run: |
          docker build --platform linux/amd64 -t begroom-back .
          docker save -o begroom-back.tar begroom-back
          sudo chmod 644 begroom-back.tar

      #6. EC2로 파일 전송 (수동: scp 명령어 자동화)
      - name: Copy Files to EC2
        uses: appleboy/scp-action@v0.1.7
        with:
          host: ${{ secrets.EC2_HOST }}
          username: ${{ secrets.EC2_USERNAME }}
          key: ${{ secrets.EC2_SSH_KEY }}
          source: "begroom-back.tar,docker-compose.yml"
          target: "/home/ec2-user"

      #7. EC2에서 실행 (수동: ssh 접속 후 실행 로직)
      - name: Deploy to EC2
        uses: appleboy/ssh-action@v1.0.3
        with:
          host: ${{ secrets.EC2_HOST }}
          username: ${{ secrets.EC2_USERNAME }}
          key: ${{ secrets.EC2_SSH_KEY }}
          script: |
            export MYSQL_ROOT_PASSWORD=${{ secrets.MYSQL_ROOT_PASSWORD }}
            export MYSQL_USER_PASSWORD=${{ secrets.MYSQL_USER_PASSWORD }}
            export JWT_SECRET_KEY=${{ secrets.JWT_SECRET_KEY }}

            cd /home/ec2-user
            docker load -i begroom-back.tar

            docker-compose down
            docker-compose up -d

            docker image prune -f
            rm begroom-back.tar