deploy.yml

name: Deploy KTB-19 MovieChatBot

on:
  push:
    branches:
      - refactor/pipeline

env:
  DOCKER_HUB_USERNAME: ${{ secrets.DOCKER_HUB_USERNAME }}
  DOCKER_HUB_PASSWORD: ${{ secrets.DOCKER_HUB_PASSWORD }}
  AWS_REGION: ap-northeast-2

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v1
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: ${{ env.AWS_REGION }}

        # 2. JDK 설치
      - name: Set up JDK 21
        uses: actions/setup-java@v2
        with:
          java-version: '21'
          distribution: 'adopt'

        # 3. Gradle 빌드
      - name: Build with Gradle
        run: ./gradlew build

      - name: Login to Docker Hub
        run: echo $DOCKER_HUB_PASSWORD | docker login -u $DOCKER_HUB_USERNAME --password-stdin

      # Frontend 빌드 및 S3 배포
      # - name: Build and deploy Frontend
      #   run: |
      #     cd frontend
      #     npm ci
      #     npm run build
      #     aws s3 sync build/ s3://${{ secrets.S3_BUCKET }} --delete
      #     aws cloudfront create-invalidation --distribution-id ${{ secrets.CLOUDFRONT_DISTRIBUTION_ID }} --paths "/*"

      # Backend, AI, Crawling 이미지 빌드 및 푸시
      - name: Build and push Docker images
        run: |
          docker build -t $DOCKER_HUB_USERNAME/backend:latest ./backend
        # docker build -t $DOCKER_HUB_USERNAME/ai:latest ./ai
          docker push $DOCKER_HUB_USERNAME/backend:latest
        # docker push $DOCKER_HUB_USERNAME/ai:latest

      # Backend 서비스 배포 (AWS Systems Manager 사용)
      - name: Deploy Backend services
        run: |
          aws ssm send-command \
            --instance-ids i-011b123c83aff0b9d \
            --document-name "AWS-RunShellScript" \
            --parameters '{
              "commands": [
                "sudo docker pull ${{ env.DOCKER_HUB_USERNAME }}/backend:latest",
                "sudo docker pull ${{ env.DOCKER_HUB_USERNAME }}/ai:latest",
                "sudo docker stop backend ai || true",
                "sudo docker rm backend ai || true",
                "sudo docker run -d --name ai --network ec2-user_export_network -p 8000:8000 -e PROJECT_NAME=ParseAI -e DATABASE_URL=mysql+aiomysql://root:qlalfqjsgh486@172.18.0.3:3306/moviedatabase ${{ env.DOCKER_HUB_USERNAME }}/ai:latest",
                "sudo docker run -d --name backend --network ec2-user_export_network -p 8080:8080 -e SPRING_DATASOURCE_URL=jdbc:mysql://172.18.0.3:3306/moviedatabase?serverTimezone=Asia/Seoul -e SPRING_DATASOURCE_USERNAME=root -e SPRING_DATASOURCE_PASSWORD=qlalfqjsgh486 -e AI_SERVICE_URL=http://172.18.0.5:8000/api/v1 ${{ env.DOCKER_HUB_USERNAME }}/backend:latest"
              ]
            }'

          

      - name: Cleanup
        if: always()
        run: |
          docker logout
          rm -f /tmp/ec2_key