Create README.md #13
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| name: Deploy Python App with Docker | |
| on: | |
| push: | |
| branches: | |
| - main # main 브랜치에 푸시될 때 워크플로우 실행 | |
| jobs: | |
| build-and-deploy: | |
| runs-on: ubuntu-latest | |
| steps: | |
| # 1. 코드 체크아웃 | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| # 2. Python 설치 | |
| - name: Set up Python 3.11 | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: '3.11' | |
| # 3. Python 의존성 설치 | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| # 4. Docker Hub 로그인 | |
| - name: Log in to Docker Hub | |
| uses: docker/login-action@v2 | |
| with: | |
| username: ${{ secrets.DOCKER_USERNAME }} | |
| password: ${{ secrets.DOCKER_PASSWORD }} | |
| # 5. Docker 이미지 빌드 및 푸시 | |
| - name: Build and Push Docker Image | |
| uses: docker/build-push-action@v4 | |
| with: | |
| context: . | |
| push: true | |
| tags: ${{ secrets.DOCKER_USERNAME }}/python-app:latest | |
| # 6. EC2로 배포 | |
| - name: Deploy to EC2 | |
| env: | |
| HOST: ${{ secrets.DEPLOY_HOST }} # EC2 퍼블릭 IP 또는 도메인 | |
| USER: ${{ secrets.DEPLOY_USER }} # EC2 SSH 사용자 이름 | |
| KEY: ${{ secrets.DEPLOY_KEY }} # SSH 개인 키 | |
| IMAGE_NAME: ${{ secrets.DOCKER_USERNAME }}/python-app:latest # Docker 이미지 이름 | |
| run: | | |
| # SSH 설정 | |
| mkdir -p ~/.ssh | |
| echo "$KEY" > deploy_key.pem | |
| chmod 400 deploy_key.pem | |
| echo "Adding $HOST to known_hosts" | |
| if [ -z "$HOST" ]; then echo "HOST is not set"; exit 1; fi | |
| ssh-keyscan -H $HOST >> ~/.ssh/known_hosts || exit 1 | |
| # EC2 접속 및 Docker 관련 작업 실행 | |
| ssh -i deploy_key.pem $USER@$HOST <<EOF | |
| # Docker 설치 확인 및 설치 | |
| if ! [ -x "$(command -v docker)" ]; then | |
| sudo yum update -y | |
| sudo yum install -y docker | |
| sudo service docker start | |
| fi | |
| # Docker 그룹에 사용자 추가 및 권한 적용 | |
| sudo usermod -aG docker $USER | |
| newgrp docker || true | |
| # 기존 컨테이너 중지 및 삭제 | |
| if docker ps -q --filter "name=flask-app"; then | |
| docker stop python-app | |
| docker rm python-app | |
| fi | |
| # 최신 이미지 가져오기 및 컨테이너 실행 | |
| docker pull $IMAGE_NAME | |
| docker run -d --name flask-app -p 5000:5000 $IMAGE_NAME | |
| EOF |