feat: redirect uri 잘못된거 변경 #198
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| # name: Spring Boot CI/CD | |
| # on: | |
| # push: | |
| # branches: | |
| # - main | |
| # pull_request: | |
| # branches: | |
| # - main | |
| # jobs: | |
| # build-and-test: | |
| # runs-on: ubuntu-latest | |
| # env: | |
| # POSTGRES_USER: ${{ secrets.POSTGRES_USER }} | |
| # POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} | |
| # POSTGRES_ENDPOINT: ${{ secrets.POSTGRES_ENDPOINT }} | |
| # LLM_SERVER_EXPERT_SINGLE_URL: ${{ secrets.LLM_SERVER_EXPERT_SINGLE_URL }} | |
| # LLM_SERVER_EXPERT_CHAIN_URL: ${{ secrets.LLM_SERVER_EXPERT_CHAIN_URL }} | |
| # LLM_SERVER_EXPERT_STREAM_URL: ${{ secrets.LLM_SERVER_EXPERT_STREAM_URL }} | |
| # AI_SERVER_HOST: ${{ secrets.AI_SERVER_HOST }} | |
| # AI_SERVER_PORT: ${{ secrets.AI_SERVER_PORT }} | |
| # REDIS_ENDPOINT: ${{ secrets.REDIS_ENDPOINT }} | |
| # AWS_ACCESS_KEY: ${{secrets.AWS_ACCESS_KEY}} | |
| # AWS_SECRET_KEY: ${{secrets.AWS_SECRET_KEY}} | |
| # FITROOM_API_KEY: ${{ secrets.FITROOM_API_KEY }} | |
| # # 테스트용 기본값들 | |
| # KAKAO_CLIENT_ID: ${{ secrets.KAKAO_CLIENT_ID }} | |
| # KAKAO_CLIENT_SECRET: ${{ secrets.KAKAO_CLIENT_SECRET }} | |
| # KAKAO_REDIRECT_URI: ${{ secrets.KAKAO_REDIRECT_URI }} | |
| # JWT_SECRET: ${{ secrets.JWT_SECRET }} | |
| # JWT_EXPIRATION: 604800000 | |
| # AWS_S3_BUCKET: thefirsttake-file-upload | |
| # steps: | |
| # - name: Checkout code | |
| # uses: actions/checkout@v3 | |
| # - name: Set up JDK 21 | |
| # uses: actions/setup-java@v3 | |
| # with: | |
| # java-version: '21' | |
| # distribution: 'temurin' | |
| # - name: Grant execute permission for gradlew | |
| # run: chmod +x ./thefirsttake/gradlew | |
| # - name: Build | |
| # run: cd thefirsttake && ./gradlew clean build | |
| # - name: Upload build artifact for deployment | |
| # uses: actions/upload-artifact@v4 | |
| # with: | |
| # name: app-jar | |
| # path: thefirsttake/build/libs/*.jar | |
| # deploy: | |
| # needs: build-and-test | |
| # runs-on: ubuntu-latest | |
| # env: | |
| # SERVER_IP: ${{ secrets.SERVER_IP }} | |
| # SERVER_USER: ${{ secrets.SERVER_USER }} | |
| # SERVER_SSH_KEY: ${{ secrets.SERVER_SSH_KEY }} | |
| # LLM_SERVER_EXPERT_SINGLE_URL: ${{ secrets.LLM_SERVER_EXPERT_SINGLE_URL }} | |
| # LLM_SERVER_EXPERT_CHAIN_URL: ${{ secrets.LLM_SERVER_EXPERT_CHAIN_URL }} | |
| # LLM_SERVER_EXPERT_STREAM_URL: ${{ secrets.LLM_SERVER_EXPERT_STREAM_URL }} | |
| # AI_SERVER_HOST: ${{ secrets.AI_SERVER_HOST }} | |
| # AI_SERVER_PORT: ${{ secrets.AI_SERVER_PORT }} | |
| # POSTGRES_USER: ${{ secrets.POSTGRES_USER }} | |
| # POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }} | |
| # POSTGRES_ENDPOINT: ${{ secrets.POSTGRES_ENDPOINT }} | |
| # REDIS_ENDPOINT: ${{ secrets.REDIS_ENDPOINT }} | |
| # AWS_ACCESS_KEY: ${{secrets.AWS_ACCESS_KEY}} | |
| # AWS_SECRET_KEY: ${{secrets.AWS_SECRET_KEY}} | |
| # FITROOM_API_KEY: ${{ secrets.FITROOM_API_KEY }} | |
| # KAKAO_CLIENT_ID: ${{ secrets.KAKAO_CLIENT_ID }} | |
| # KAKAO_CLIENT_SECRET: ${{ secrets.KAKAO_CLIENT_SECRET }} | |
| # KAKAO_REDIRECT_URI: ${{ secrets.KAKAO_REDIRECT_URI }} | |
| # JWT_SECRET: ${{ secrets.JWT_SECRET }} | |
| # JWT_EXPIRATION: 604800000 | |
| # AWS_S3_BUCKET: thefirsttake-file-upload | |
| # steps: | |
| # - name: Download build artifact | |
| # uses: actions/download-artifact@v4 | |
| # with: | |
| # name: app-jar | |
| # path: ./deploy | |
| # - name: Copy jar to server | |
| # uses: appleboy/scp-action@v0.1.4 | |
| # with: | |
| # host: ${{ env.SERVER_IP }} | |
| # username: ${{ env.SERVER_USER }} | |
| # key: ${{ env.SERVER_SSH_KEY }} | |
| # source: "./deploy/*.jar" | |
| # target: "/home/${{ env.SERVER_USER }}/app/" | |
| # - name: Restart app on server | |
| # uses: appleboy/ssh-action@v0.1.5 | |
| # with: | |
| # host: ${{ env.SERVER_IP }} | |
| # username: ${{ env.SERVER_USER }} | |
| # key: ${{ env.SERVER_SSH_KEY }} | |
| # script: | | |
| # # 애플리케이션 JAR 파일의 이름을 찾습니다. | |
| # # -plain.jar 파일을 제외하고 실행 가능한 JAR 파일을 찾습니다. | |
| # JAR_NAME=$(ls /home/${{ env.SERVER_USER }}/app/deploy/*.jar | grep -v "plain.jar" | head -n 1) | |
| # echo "Found JAR file: $JAR_NAME" | |
| # # JAR 파일이 존재하는지 확인 | |
| # if [ ! -f "$JAR_NAME" ]; then | |
| # echo "Error: JAR file not found at $JAR_NAME" | |
| # exit 1 | |
| # fi | |
| # # JAR 파일명만 추출 (경로 제거) | |
| # JAR_FILENAME=$(basename "$JAR_NAME") | |
| # echo "JAR filename: $JAR_FILENAME" | |
| # # 디렉토리의 모든 JAR 파일 목록을 확인합니다. | |
| # echo "=== All JAR files in deploy directory ===" | |
| # ls -la /home/${{ env.SERVER_USER }}/app/deploy/*.jar | |
| # # 기존 서비스가 있다면 중지합니다. | |
| # # '|| true'는 서비스가 실행 중이 아니어도 오류를 발생시키지 않도록 합니다. | |
| # sudo systemctl stop thefirsttake.service || true | |
| # # 기존 서비스 파일을 완전히 삭제하고 새로 생성합니다. | |
| # sudo rm -f /etc/systemd/system/thefirsttake.service | |
| # # systemd 서비스 파일을 새로 생성합니다. | |
| # echo '[Unit]' | sudo tee /etc/systemd/system/thefirsttake.service | |
| # echo 'Description=TheFirstTake Spring Boot Application' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'After=network.target' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '[Service]' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Type=simple' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'User=${{ env.SERVER_USER }}' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'WorkingDirectory=/home/${{ env.SERVER_USER }}/app' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo "ExecStart=/usr/bin/java -jar /home/${{ env.SERVER_USER }}/app/deploy/$JAR_FILENAME" | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Restart=always' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'RestartSec=10' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '# 환경 변수 설정' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="SPRING_DATASOURCE_URL=jdbc:postgresql://${{ secrets.POSTGRES_ENDPOINT }}:5432/postgres?sslmode=require"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="SPRING_DATASOURCE_USERNAME=${{ secrets.POSTGRES_USER }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="SPRING_DATASOURCE_PASSWORD=${{ secrets.POSTGRES_PASSWORD }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="SPRING_DATASOURCE_DRIVER_CLASS_NAME=org.postgresql.Driver"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="LLM_SERVER_EXPERT_SINGLE_URL=${{ secrets.LLM_SERVER_EXPERT_SINGLE_URL }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="LLM_SERVER_EXPERT_CHAIN_URL=${{ secrets.LLM_SERVER_EXPERT_CHAIN_URL }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="LLM_SERVER_EXPERT_STREAM_URL=${{ secrets.LLM_SERVER_EXPERT_STREAM_URL }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="AI_SERVER_HOST=${{ secrets.AI_SERVER_HOST }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="AI_SERVER_PORT=${{ secrets.AI_SERVER_PORT }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="REDIS_ENDPOINT=${{ secrets.REDIS_ENDPOINT }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="AWS_ACCESS_KEY=${{ secrets.AWS_ACCESS_KEY }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="AWS_SECRET_KEY=${{ secrets.AWS_SECRET_KEY }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="FITROOM_API_KEY=${{ secrets.FITROOM_API_KEY }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="KAKAO_CLIENT_ID=${{ secrets.KAKAO_CLIENT_ID }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="KAKAO_CLIENT_SECRET=${{ secrets.KAKAO_CLIENT_SECRET }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="KAKAO_REDIRECT_URI=${{ secrets.KAKAO_REDIRECT_URI }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="JWT_SECRET=${{ secrets.JWT_SECRET }}"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="JWT_EXPIRATION=604800000"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'Environment="AWS_S3_BUCKET=thefirsttake-file-upload"' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo '[Install]' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # echo 'WantedBy=multi-user.target' | sudo tee -a /etc/systemd/system/thefirsttake.service | |
| # # systemd 데몬을 리로드하여 새로운 서비스 파일을 인식하게 합니다. | |
| # sudo systemctl daemon-reload | |
| # # 서비스를 활성화하고 시작합니다. | |
| # # 'enable'은 시스템 부팅 시 서비스가 자동으로 시작되도록 설정합니다. | |
| # # 'start'는 서비스를 즉시 시작합니다. | |
| # sudo systemctl enable thefirsttake.service | |
| # # 서비스 시작 전에 생성된 서비스 파일 내용을 확인합니다. | |
| # echo "=== Generated Service File Content ===" | |
| # sudo cat /etc/systemd/system/thefirsttake.service | |
| # sudo systemctl start thefirsttake.service | |
| # # 서비스 상태를 확인하여 성공적으로 시작되었는지 확인합니다. | |
| # # --no-pager 옵션은 출력이 페이지네이션되지 않도록 합니다. | |
| # # 이 명령은 서비스가 시작될 때까지 기다릴 수 있습니다. | |
| # sudo systemctl status thefirsttake.service --no-pager | |
| # # 서비스 로그를 확인하여 오류 원인을 파악합니다. | |
| # echo "=== Service Logs ===" | |
| # sudo journalctl -u thefirsttake.service --no-pager -n 50 | |
| # # 서비스가 실패한 경우 상세 로그 확인 | |
| # if ! sudo systemctl is-active --quiet thefirsttake.service; then | |
| # echo "=== Service Failed - Checking Detailed Logs ===" | |
| # sudo journalctl -u thefirsttake.service --no-pager -n 100 | |
| # echo "=== Generated Service File ===" | |
| # sudo cat /etc/systemd/system/thefirsttake.service | |
| # exit 1 | |
| # fi | |
| name: Deploy to ECS | |
| on: | |
| push: | |
| branches: [ main ] | |
| pull_request: | |
| branches: [ main ] | |
| env: | |
| AWS_REGION: ${{ secrets.AWS_REGION }} | |
| ECR_REGISTRY: ${{ secrets.ECR_REGISTRY }} | |
| ECS_CLUSTER: ${{ secrets.ECS_CLUSTER }} | |
| jobs: | |
| build-and-test: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| - name: Set up JDK 21 | |
| uses: actions/setup-java@v4 | |
| with: | |
| java-version: '21' | |
| distribution: 'temurin' | |
| - name: Grant execute permission for gradlew | |
| run: chmod +x ./thefirsttake/gradlew | |
| - name: Build Spring Boot Application | |
| run: | | |
| cd thefirsttake | |
| ./gradlew clean build -x test | |
| - name: Upload build artifact | |
| uses: actions/upload-artifact@v4 | |
| with: | |
| name: spring-boot-jar | |
| path: thefirsttake/build/libs/*.jar | |
| deploy-backend: | |
| needs: build-and-test | |
| runs-on: ubuntu-latest | |
| if: github.ref == 'refs/heads/main' | |
| steps: | |
| - name: Checkout code | |
| uses: actions/checkout@v4 | |
| - name: Download build artifact | |
| uses: actions/download-artifact@v4 | |
| with: | |
| name: spring-boot-jar | |
| path: thefirsttake/build/libs/ | |
| - 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: ${{ env.AWS_REGION }} | |
| - name: Login to Amazon ECR | |
| id: login-ecr | |
| uses: aws-actions/amazon-ecr-login@v2 | |
| - name: Build, tag, and push Backend image | |
| id: build-backend | |
| env: | |
| ECR_REPOSITORY: ${{ secrets.ECR_REPOSITORY_BACKEND }} | |
| IMAGE_TAG: ${{ github.sha }} | |
| run: | | |
| echo "🔨 Building Docker image..." | |
| docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG ./thefirsttake | |
| echo "📤 Pushing image to ECR..." | |
| docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG | |
| echo "✅ Image pushed: $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" | |
| echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT | |
| - name: Download current task definition | |
| run: | | |
| echo "📋 Downloading current task definition..." | |
| aws ecs describe-task-definition \ | |
| --task-definition thefirsttake-backend \ | |
| --query 'taskDefinition' > task-definition.json | |
| - name: Update task definition with new image and environment variables | |
| id: task-def | |
| run: | | |
| echo "🔄 Updating task definition..." | |
| # 새로운 이미지로 업데이트하고 환경변수 설정 | |
| jq --arg IMAGE "${{ steps.build-backend.outputs.image }}" \ | |
| --arg POSTGRES_USER "${{ secrets.POSTGRES_USER }}" \ | |
| --arg POSTGRES_PASSWORD "${{ secrets.POSTGRES_PASSWORD }}" \ | |
| --arg POSTGRES_ENDPOINT "${{ secrets.POSTGRES_ENDPOINT }}" \ | |
| --arg LLM_SERVER_EXPERT_SINGLE_URL "${{ secrets.LLM_SERVER_EXPERT_SINGLE_URL }}" \ | |
| --arg LLM_SERVER_EXPERT_CHAIN_URL "${{ secrets.LLM_SERVER_EXPERT_CHAIN_URL }}" \ | |
| --arg LLM_SERVER_EXPERT_STREAM_URL "${{ secrets.LLM_SERVER_EXPERT_STREAM_URL }}" \ | |
| --arg AI_SERVER_HOST "${{ secrets.AI_SERVER_HOST }}" \ | |
| --arg AI_SERVER_PORT "${{ secrets.AI_SERVER_PORT }}" \ | |
| --arg REDIS_ENDPOINT "${{ secrets.REDIS_ENDPOINT }}" \ | |
| --arg AWS_ACCESS_KEY "${{ secrets.AWS_ACCESS_KEY }}" \ | |
| --arg AWS_SECRET_KEY "${{ secrets.AWS_SECRET_KEY }}" \ | |
| --arg FITROOM_API_KEY "${{ secrets.FITROOM_API_KEY }}" \ | |
| --arg KAKAO_CLIENT_ID "${{ secrets.KAKAO_CLIENT_ID }}" \ | |
| --arg KAKAO_CLIENT_SECRET "${{ secrets.KAKAO_CLIENT_SECRET }}" \ | |
| --arg KAKAO_REDIRECT_URI "${{ secrets.KAKAO_REDIRECT_URI }}" \ | |
| --arg JWT_SECRET "${{ secrets.JWT_SECRET }}" \ | |
| ' | |
| .containerDefinitions[0].image = $IMAGE | | |
| .containerDefinitions[0].environment = [ | |
| {"name": "SPRING_DATASOURCE_URL", "value": ("jdbc:postgresql://" + $POSTGRES_ENDPOINT + ":5432/postgres?sslmode=require")}, | |
| {"name": "SPRING_DATASOURCE_USERNAME", "value": $POSTGRES_USER}, | |
| {"name": "SPRING_DATASOURCE_PASSWORD", "value": $POSTGRES_PASSWORD}, | |
| {"name": "SPRING_DATASOURCE_DRIVER_CLASS_NAME", "value": "org.postgresql.Driver"}, | |
| {"name": "LLM_SERVER_EXPERT_SINGLE_URL", "value": $LLM_SERVER_EXPERT_SINGLE_URL}, | |
| {"name": "LLM_SERVER_EXPERT_CHAIN_URL", "value": $LLM_SERVER_EXPERT_CHAIN_URL}, | |
| {"name": "LLM_SERVER_EXPERT_STREAM_URL", "value": $LLM_SERVER_EXPERT_STREAM_URL}, | |
| {"name": "AI_SERVER_HOST", "value": $AI_SERVER_HOST}, | |
| {"name": "AI_SERVER_PORT", "value": $AI_SERVER_PORT}, | |
| {"name": "REDIS_ENDPOINT", "value": $REDIS_ENDPOINT}, | |
| {"name": "AWS_ACCESS_KEY", "value": $AWS_ACCESS_KEY}, | |
| {"name": "AWS_SECRET_KEY", "value": $AWS_SECRET_KEY}, | |
| {"name": "FITROOM_API_KEY", "value": $FITROOM_API_KEY}, | |
| {"name": "KAKAO_CLIENT_ID", "value": $KAKAO_CLIENT_ID}, | |
| {"name": "KAKAO_CLIENT_SECRET", "value": $KAKAO_CLIENT_SECRET}, | |
| {"name": "KAKAO_REDIRECT_URI", "value": $KAKAO_REDIRECT_URI}, | |
| {"name": "JWT_SECRET", "value": $JWT_SECRET} | |
| ] | | |
| del(.taskDefinitionArn, .revision, .status, .requiresAttributes, .placementConstraints, .compatibilities, .registeredAt, .registeredBy) | |
| ' task-definition.json > new-task-definition.json | |
| - name: Register new task definition | |
| id: register-task-def | |
| run: | | |
| echo "📝 Registering new task definition..." | |
| NEW_TASK_DEF_ARN=$(aws ecs register-task-definition \ | |
| --cli-input-json file://new-task-definition.json \ | |
| --query 'taskDefinition.taskDefinitionArn' \ | |
| --output text) | |
| echo "✅ New task definition: $NEW_TASK_DEF_ARN" | |
| echo "task-def-arn=$NEW_TASK_DEF_ARN" >> $GITHUB_OUTPUT | |
| - name: Debug ECS Variables | |
| run: | | |
| echo "🔍 Debugging ECS configuration..." | |
| echo "ECS_CLUSTER: ${{ env.ECS_CLUSTER }}" | |
| echo "ECS_SERVICE_BACKEND: 'thefirsttake-backend-service-vegat2du'" | |
| echo "Length of service name: ${ECS_SERVICE_BACKEND}" | |
| - name: Update ECS Backend Service | |
| run: | | |
| echo "🚀 Updating ECS service..." | |
| SERVICE_NAME="thefirsttake-backend-service-vegat2du" | |
| TASK_DEFINITION="${{ steps.register-task-def.outputs.task-def-arn }}" | |
| CLUSTER_NAME="the-first-take-cluster" | |
| aws ecs update-service --cluster "${CLUSTER_NAME}" --service "${SERVICE_NAME}" --task-definition "${TASK_DEFINITION}" --force-new-deployment | |
| - name: Wait for service stability | |
| run: | | |
| echo "⏳ Waiting for service to stabilize..." | |
| CLUSTER_NAME="the-first-take-cluster" | |
| SERVICE_NAME="thefirsttake-backend-service-vegat2du" | |
| aws ecs wait services-stable --cluster "${CLUSTER_NAME}" --services "${SERVICE_NAME}" | |
| echo "✅ Service deployment completed!" | |
| health-check: | |
| needs: deploy-backend | |
| runs-on: ubuntu-latest | |
| if: github.ref == 'refs/heads/main' | |
| steps: | |
| - name: Health Check | |
| run: | | |
| echo "🔍 Performing health check..." | |
| for i in {1..30}; do | |
| if curl -f -s https://the-second-take.com/actuator/health; then | |
| echo "✅ Health check passed!" | |
| exit 0 | |
| fi | |
| echo "Waiting for service to be healthy... ($i/30)" | |
| sleep 10 | |
| done | |
| echo "❌ Health check failed after 5 minutes!" | |
| exit 1 | |
| - name: Deployment Success Notification | |
| if: success() | |
| run: | | |
| echo "🎉 Deployment successful!" | |
| echo "🌐 Service URL: https://the-second-take.com" | |
| echo "🏥 Health Check: https://the-second-take.com/actuator/health" |