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| 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:[email protected]: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 | ||
