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Workflow file for this run

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 }}
- name: Set up JDK 21
uses: actions/setup-java@v2
with:
java-version: '21'
distribution: 'adopt'
- name: Build with Gradle
run: |
cd backend
./gradlew build
- name: Login to Docker Hub
run: echo $DOCKER_HUB_PASSWORD | docker login -u $DOCKER_HUB_USERNAME --password-stdin
- name: Build and push Docker images
run: |
docker build -t $DOCKER_HUB_USERNAME/backend:latest ./backend
docker push $DOCKER_HUB_USERNAME/backend:latest
- name: Deploy Backend services
run: |
aws ssm send-command \
--instance-ids i-05f61b1d8708b7fdd \
--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