Updated readme with CI/CD #23
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| 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=${{ secrets.PREFECT_WORKSPACE }}" >> .env | |
| echo "AWS_ACCOUNT_ID=${{ secrets.AWS_ACCOUNT_ID }}" >> .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: | | |
| docker compose up -d | |
| # Final Step: Notify on Successful Deployment | |
| - name: Notify on Successful Deployment | |
| run: echo "Deployment completed successfully!" |