Merge pull request #44 from KTB-19/feature/ai_develop_entities_error #51
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| name: Deploy MovieChatBot to AWS | |
| on: | |
| push: | |
| branches: | |
| - develop | |
| 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: | | |
| cd backend # gradlew 파일이 있는 디렉토리로 이동 | |
| ./gradlew build | |
| - name: Login to Docker Hub | |
| run: echo $DOCKER_HUB_PASSWORD | docker login -u $DOCKER_HUB_USERNAME --password-stdin | |
| # Frontend 빌드 및 S3 배포 | |
| - name: Build and deploy Frontend | |
| run: | | |
| cd frontend | |
| npm ci | |
| echo "REACT_APP_ENDPOINT=${{ secrets.REACT_APP_ENDPOINT }}" >> .env | |
| CI=false 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 이미지 빌드 및 푸시 | |
| - name: Build and push Docker images | |
| run: | | |
| cd backend | |
| docker build -t $DOCKER_HUB_USERNAME/backend:latest . | |
| docker push $DOCKER_HUB_USERNAME/backend:latest | |
| cd ../ai | |
| docker build --build-arg OPENAI_API_KEY="${{ secrets.OPENAI_API_KEY }}" -t $DOCKER_HUB_USERNAME/ai: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 ${{ secrets.BACKEND_EC2_HOST }} \ | |
| --document-name "AWS-RunShellScript" \ | |
| --parameters '{ | |
| "commands": [ | |
| "sudo docker stop backend ai || true", | |
| "sudo docker rm backend ai || true", | |
| "sudo docker image rm ${{ secrets.DOCKER_HUB_USERNAME }}/ai:latest", | |
| "sudo docker image rm ${{ secrets.DOCKER_HUB_USERNAME }}/backend:latest", | |
| "sudo docker pull ${{ secrets.DOCKER_HUB_USERNAME }}/backend:latest", | |
| "sudo docker pull ${{ secrets.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://mysql:3306/moviedatabase?serverTimezone=Asia/Seoul -e SPRING_DATASOURCE_USERNAME=root -e SPRING_DATASOURCE_PASSWORD=qlalfqjsgh486 -e AI_SERVICE_URL=http://ai:8000/api/v1 ${{ secrets.DOCKER_HUB_USERNAME }}/backend:latest", | |
| "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@mysql:3306/moviedatabase ${{ secrets.DOCKER_HUB_USERNAME }}/ai:latest" | |
| ] | |
| }' | |
| - name: Cleanup | |
| if: always() | |
| run: | | |
| docker logout | |
| rm -f /tmp/ec2_key |