Install the CodeSee workflow. Learn more at https://docs.codesee.io #16
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| name: Deploy MLOps Inference Endpoint and Monitoring Stack | |
| on: | |
| push: | |
| branches: | |
| - main | |
| env: | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }} | |
| region: "ap-south-1" | |
| AWS_DEFAULT_REGION: "ap-south-1" | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/setup-python@v2 | |
| with: | |
| python-version: 3.10.8 | |
| - name: Checkout the repo code | |
| uses: actions/checkout@v3 | |
| with: | |
| path: pose-estimation | |
| clean: true | |
| - name: Set AWS credentials as environment variables | |
| run: | | |
| echo "Setting AWS credentials as environment variables" | |
| export AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID | |
| export AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY | |
| export region=$region | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| cd pose-estimation | |
| pip install -r deployment/requirements.txt | |
| - name: Trigger Real-time Inferencing Pipeline for Pre-Trained Model deployment | |
| run: | | |
| cd pose-estimation | |
| python3 deployment/realtime_endpoint_deployment/realtime_endpoint_deployment.py | |
| - name: Attaching Model Monitoring Pipeline for Real-time Inferencing end point | |
| run: | | |
| cd pose-estimation | |
| python3 deployment/model_monitoring_deployment/model_monitoring_deployment.py | |
| - name: Install AWS CLI | |
| run: | | |
| sudo apt-get update | |
| sudo apt-get install -y awscli | |
| - name: Run CloudFormation Stack - API Gateway & Lambda | |
| env: | |
| AWS_REGION: ap-south-1 | |
| STACK_NAME: mlops-pipeline-human-pose-prediction | |
| run: | | |
| export AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID | |
| export AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY | |
| export region=$region | |
| cd pose-estimation/aws_stack | |
| aws cloudformation create-stack --stack-name $STACK_NAME --region $AWS_REGION --template-body file://gateway_lamda_s3_website_creation.yml --capabilities CAPABILITY_IAM --parameters file://parameters.json | |
| - name: Wait for stack to complete - API Gateway & Lambda | |
| env: | |
| AWS_REGION: ap-south-1 | |
| STACK_NAME: mlops-pipeline-human-pose-prediction | |
| run: | | |
| aws cloudformation wait stack-create-complete --stack-name $STACK_NAME --region $AWS_REGION || exit 1 # Fail if stack creation failed | |
| - name: Stack Output & Update HTML | |
| env: | |
| STACK_NAME: mlops-pipeline-human-pose-prediction | |
| run: | | |
| python -m pip install --upgrade pip | |
| cd pose-estimation | |
| pip install -r deployment/requirements.txt | |
| python3 deployment/update_html.py "$(aws cloudformation describe-stacks --stack-name $STACK_NAME --query 'Stacks[0].Outputs[0].['OutputValue'][0]' --output json)" | |
| - name: Run CloudFormation Stack - Publish Public Human Pose Prediction WebSite | |
| env: | |
| AWS_REGION: ap-south-1 | |
| STACK_NAME: website | |
| BUCKET_NAME: mlops-pipeline-humanpose-estimation-prediction-demo | |
| AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID_GLOBAL_S3 }} | |
| AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_GLOBAL_S3 }} | |
| run: | | |
| export AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID | |
| export AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY | |
| export region=$region | |
| cd pose-estimation/aws_stack | |
| aws cloudformation create-stack --stack-name $STACK_NAME --region $AWS_REGION --template-body file://stack_static_website_s3_public.yml --capabilities CAPABILITY_IAM --parameters ParameterKey=s3Bucketname,ParameterValue=$BUCKET_NAME | |
| aws cloudformation wait stack-create-complete --stack-name $STACK_NAME --region $AWS_REGION || exit 1 # Fail if stack creation failed | |
| cd ../website | |
| aws s3 cp index.html s3://$BUCKET_NAME/index.html | |
| aws s3 cp error.html s3://$BUCKET_NAME/error.html | |
| output=$(aws cloudformation describe-stacks --stack-name $STACK_NAME --query 'Stacks[0].Outputs[1].['OutputValue'][0]' --output text) | |
| echo "***************HUMAN POSE PREDICTION ENDPOINT URL***************: $output" |