OAuth 2.0(구글, 네이버) 적용 완료 #13
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| name: Deploy the application to production | |
| # main 브랜치 또는 dev 브랜치를 대상으로 하는 풀 리퀘스트가 발생할 때마다 워크플로우가 실행된다. | |
| on: | |
| pull_request: | |
| branches: | |
| - main | |
| - dev | |
| env: | |
| DOCKER_IMAGE_TEST: csup96/4iz-test:latest | |
| DOCKER_COMPOSE_SERVICE: app # E2E 테스트에 사용될 Docker Compose 서비스를 지정한다. | |
| jobs: | |
| build-test-push: | |
| # Docker 이미지를 빌드하고 테스트 한 후 Amazon ECR에 푸시한다. | |
| name: Build and test a Docker image and push it to Amazon ECR | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Check out the repository | |
| uses: actions/checkout@v3 | |
| - name: Set up QEMU | |
| uses: docker/setup-qemu-action@v2 | |
| - name: Set up Docker Buildx | |
| uses: docker/setup-buildx-action@v2 | |
| - name: Build a Docker image | |
| uses: docker/build-push-action@v4 | |
| with: | |
| context: . | |
| load: true | |
| target: test | |
| tags: ${{ env.DOCKER_IMAGE_TEST }} | |
| - name: Run unit tests with a Docker container | |
| run: docker container run --rm ${{ env.DOCKER_IMAGE_TEST }} | |
| # Docker Compose로 사용하여 E2E 테스트를 실행한다. | |
| - name: Run E2E tests with a Docker Compose | |
| run: | | |
| docker compose -f docker-compose.ci.yml up --build --exit-code-from ${{ env.DOCKER_COMPOSE_SERVICE }} | |
| exit_code=$? | |
| echo "E2E Test Exit Code: $exit_code" | |
| exit $exit_code | |
| # 인증을 위한 AWS 자격 증명을 구성한다. | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| # GitHub 레포지토리 -> Settings -> Secrets and variables -> Actions -> Secrets | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ap-northeast-2 | |
| # Amazon ECR에 로그인한다. | |
| - name: Login to Amazon ECR | |
| id: login-ecr | |
| uses: aws-actions/amazon-ecr-login@v2 | |
| # AWS 자격 증명을 사용하여 Docker 이미지를 Amazon ECR에 빌드, 태그 및 푸시한다. | |
| - name: Build, tag, and push the Docker image to Amazon ECR | |
| env: | |
| REGISTRY: ${{ steps.login-ecr.outputs.registry }} # 현재 작업의 이전 단계(Login to Amazon ECR)에서 나온 값을 사용한다. | |
| REPOSITORY: 4iz | |
| IMAGE_TAG: latest | |
| run: | | |
| docker image build -t $REGISTRY/$REPOSITORY:$IMAGE_TAG . | |
| docker image push $REGISTRY/$REPOSITORY:$IMAGE_TAG | |
| deploy: | |
| # 최신 Docker 이미지를 Amazon ECS에 배포한다. | |
| name: Deploy the latest Docker image to Amazon ECS | |
| runs-on: ubuntu-latest | |
| # 이전 작업(build-test-push)이 완료될 때까지 기다린다. | |
| needs: build-test-push | |
| steps: | |
| - name: Configure AWS credentials | |
| uses: aws-actions/configure-aws-credentials@v4 | |
| with: | |
| aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| aws-region: ap-northeast-2 | |
| # AWS CLI(aws ecs update service)를 사용하여 ECS 서비스를 최신 Docker 이미지로 업데이트하고 새로운 배포를 실행한다. | |
| - name: Update ECS service | |
| # GitHub 레포지토리 -> Settings -> Secrets and variables -> Actions -> Variables | |
| # --force-new-deployment는 서비스 정의가 변경되지 않았을 때도 새로운 배포를 강제로 수행한다. | |
| run: | | |
| aws ecs update-service \ | |
| --cluster ${{ vars.AWS_CLUSTER }} \ | |
| --service ${{ vars.AWS_SERVICE }} \ | |
| --task-definition ${{ vars.AWS_TASK_DEFINITION }} \ | |
| --force-new-deployment |