Updated readme #41
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: CD_DEPLOY | |
| on: | |
| push: | |
| branches: | |
| - main | |
| workflow_dispatch: # Allows manual triggering of the CD workflow | |
| jobs: | |
| deploy: | |
| runs-on: ubuntu-latest | |
| steps: | |
| # Step 1: Checkout the repository | |
| - name: Checkout Repo | |
| uses: actions/checkout@v3 | |
| # Step 2: Configure AWS Credentials | |
| - 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: ${{ secrets.AWS_REGION }} | |
| # Step 3: Create the kaggle.json file in the working directory | |
| - name: Create kaggle.json | |
| run: | | |
| echo '${{ secrets.KAGGLE_JSON }}' > kaggle.json | |
| # Step 4: Create a .env file for Docker Compose using the secrets | |
| - name: Create .env file for Docker Compose | |
| run: | | |
| echo "MLFLOW_BACKEND_STORE_URI=${{ secrets.MLFLOW_BACKEND_STORE_URI }}" >> .env | |
| echo "MLFLOW_DEFAULT_ARTIFACT_ROOT=${{ secrets.MLFLOW_DEFAULT_ARTIFACT_ROOT }}" >> .env | |
| echo "MLFLOW_TRACKING_URI=${{ secrets.MLFLOW_TRACKING_URI }}" >> .env | |
| echo "PREFECT_API_KEY=${{ secrets.PREFECT_API_KEY }}" >> .env | |
| echo "PREFECT_WORKSPACE=${{ secrets.PREFECT_WORKSPACE }}" >> .env | |
| echo "AWS_ACCESS_KEY_ID=${{ secrets.AWS_ACCESS_KEY_ID }}" >> .env | |
| echo "AWS_SECRET_ACCESS_KEY=${{ secrets.AWS_SECRET_ACCESS_KEY }}" >> .env | |
| echo "AWS_ACCOUNT_ID=${{ secrets.AWS_ACCOUNT_ID }}" >> .env | |
| echo "AWS_DEFAULT_REGION=${{ secrets.AWS_DEFAULT_REGION }}" >> .env | |
| echo "AWS_REGION=${{ secrets.AWS_REGION }}" >> .env | |
| echo "TF_VAR_ecr_repository_name=${{ secrets.TF_VAR_ecr_repository_name }}" >> .env | |
| echo "TF_VAR_aws_region=${{ secrets.TF_VAR_aws_region }}" >> .env | |
| echo "TF_VAR_mlflow_models_bucket=${{ secrets.TF_VAR_mlflow_models_bucket }}" >> .env | |
| echo "TF_VAR_prediction_bucket=${{ secrets.TF_VAR_prediction_bucket }}" >> .env | |
| # Step 5: Build the Docker Image | |
| - name: Build Docker Image | |
| run: | | |
| docker build -f Dockerfile -t ${{ secrets.TF_VAR_ecr_repository_name }}:latest . | |
| # Step 6: Log in to Amazon ECR | |
| - name: Log in to Amazon ECR | |
| run: | | |
| aws ecr get-login-password --region ${{ secrets.AWS_REGION }} | docker login --username AWS --password-stdin ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com | |
| # Step 7: Tag the Docker Image | |
| - name: Tag Docker Image | |
| run: | | |
| docker tag ${{ secrets.TF_VAR_ecr_repository_name }}:latest ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/${{ secrets.TF_VAR_ecr_repository_name }}:latest | |
| # Step 8: Push the Docker Image to ECR | |
| - name: Push Docker Image to ECR | |
| run: | | |
| docker push ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.${{ secrets.AWS_REGION }}.amazonaws.com/${{ secrets.TF_VAR_ecr_repository_name }}:latest | |
| # Step 9: Run Docker Compose to bring up services | |
| - name: Run Docker Compose | |
| run: | | |
| timeout 900 docker compose up || true | |
| # Final Step: Notify on Successful Deployment | |
| - name: Notify on Successful Deployment | |
| run: echo "Deployment completed successfully!" |