99 строки
2.9 KiB
Bash
Executable File
99 строки
2.9 KiB
Bash
Executable File
#!/bin/bash
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#set -e
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# <set_variables>
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RAND=`echo $RANDOM`
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ENDPOINT_NAME="endpt-moe-$RAND"
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# </set_variables>
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# <create_endpoint>
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az ml online-endpoint create -n $ENDPOINT_NAME
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# </create_endpoint>
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# <check_endpoint>
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endpoint_status=`az ml online-endpoint show --name $ENDPOINT_NAME --query "provisioning_state" -o tsv `
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echo $endpoint_status
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if [[ $endpoint_status == "Succeeded" ]]
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then
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echo "Endpoint created successfully"
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else
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echo "Endpoint creation failed"
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exit 1
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fi
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# </check_endpoint>
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# <get_key_and_openapi_url>
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echo "Getting access key..."
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KEY=$(az ml online-endpoint get-credentials -n $ENDPOINT_NAME --query primaryKey -o tsv )
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echo "Getting scoring url..."
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SCORING_URL=$(az ml online-endpoint show -n $ENDPOINT_NAME --query scoring_uri -o tsv )
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echo "Scoring url is $SCORING_URL"
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echo "Getting OpenAPI (Swagger) url..."
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SWAGGER_URL=$(az ml online-endpoint show -n $ENDPOINT_NAME --query openapi_uri -o tsv )
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echo "OpenAPI (Swagger) url is $OPENAPI_URL"
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# </get_key_and_openapi_url>
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# <create_decorated_deployment>
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az ml online-deployment create -f endpoints/online/managed/openapi/deployment.yml \
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--set endpoint_name=$ENDPOINT_NAME \
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--set code_configuration.code=code-decorated \
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--all-traffic
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# </create_decorated_deployment>
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# <check_deployment>
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deploy_status=`az ml online-deployment show --name openapi --endpoint $ENDPOINT_NAME --query "provisioning_state" -o tsv `
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echo $deploy_status
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if [[ $deploy_status == "Succeeded" ]]
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then
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echo "Deployment completed successfully"
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else
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echo "Deployment failed"
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exit 1
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fi
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# </check_deployment>
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echo "Testing scoring... "
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# <test_decorated_scoring>
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curl -H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \
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-d @endpoints/online/model-1/sample-request.json $SCORING_URL
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# </test_decorated_scoring>
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echo "Getting swagger..."
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# <get_decorated_swagger>
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curl -H "Authorization: Bearer $KEY" $SWAGGER_URL
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# </get_decorated_swagger>
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# <create_custom_deployment>
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az ml online-deployment update -f endpoints/online/managed/openapi/deployment.yml \
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--set endpoint_name=$ENDPOINT_NAME \
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--set code_configuration.code=code-custom
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# </create_custom_deployment>
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# <check_deployment>
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deploy_status=`az ml online-deployment show --name openapi --endpoint $ENDPOINT_NAME --query "provisioning_state" -o tsv `
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echo $deploy_status
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if [[ $deploy_status == "Succeeded" ]]
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then
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echo "Deployment completed successfully"
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else
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echo "Deployment failed"
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exit 1
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fi
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# </check_deployment>
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echo "Testing scoring... "
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# <test_custom_scoring>
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curl -H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \
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-d @endpoints/online/model-1/sample-request.json $SCORING_URL
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# </test_custom_scoring>
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echo "Getting swagger..."
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# <get_custom_swagger>
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curl -H "Authorization: Bearer $KEY" $SWAGGER_URL
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# </get_custom_swagger>
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# <delete_custom_endpoint>
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az ml online-endpoint delete -y -n $ENDPOINT_NAME --no-wait
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# </delete_custom_endpoint> |