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deploy-rest.sh
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deploy-rest.sh
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set -x
# <create_variables>
SUBSCRIPTION_ID=$(az account show --query id -o tsv)
LOCATION=$(az ml workspace show --query location -o tsv)
RESOURCE_GROUP=$(az group show --query name -o tsv)
WORKSPACE=$(az configure -l --query "[?name=='workspace'].value" -o tsv)
#</create_variables>
#<get_access_token>
TOKEN=$(az account get-access-token --query accessToken -o tsv)
#</get_access_token>
# <set_endpoint_name>
export ENDPOINT_NAME=endpt-rest-`echo $RANDOM`
# </set_endpoint_name>
#<api_version>
API_VERSION="2022-05-01"
#</api_version>
echo "Using:\nSUBSCRIPTION_ID: $SUBSCRIPTION_ID\nLOCATION: $LOCATION\nRESOURCE_GROUP: $RESOURCE_GROUP\nWORKSPACE: $WORKSPACE\nENDPOINT_NAME: $ENDPOINT_NAME"
# define how to wait
wait_for_completion () {
operation_id=$1
status="unknown"
if [[ $operation_id == "" || -z $operation_id || $operation_id == "null" ]]; then
echo "operation id cannot be empty"
exit 1
fi
while [[ $status != "Succeeded" && $status != "Failed" ]]
do
echo "Getting operation status from: $operation_id"
operation_result=$(curl --location --request GET $operation_id --header "Authorization: Bearer $TOKEN")
# TODO error handling here
status=$(echo $operation_result | jq -r '.status')
echo "Current operation status: $status"
sleep 5
done
if [[ $status == "Failed" ]]
then
error=$(echo $operation_result | jq -r '.error')
echo "Error: $error"
fi
}
# <get_storage_details>
# Get values for storage account
response=$(curl --location --request GET "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/datastores?api-version=$API_VERSION&isDefault=true" \
--header "Authorization: Bearer $TOKEN")
AZUREML_DEFAULT_DATASTORE=$(echo $response | jq -r '.value[0].name')
AZUREML_DEFAULT_CONTAINER=$(echo $response | jq -r '.value[0].properties.containerName')
export AZURE_STORAGE_ACCOUNT=$(echo $response | jq -r '.value[0].properties.accountName')
# </get_storage_details>
# TODO: we can get the default container from listing datastores
# TODO using the latter two as env vars shouldn't be necessary
# <upload_code>
az storage blob upload-batch -d $AZUREML_DEFAULT_CONTAINER/score -s endpoints/online/model-1/onlinescoring
# </upload_code>
# <create_code>
curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/codes/score-sklearn/versions/1?api-version=$API_VERSION" \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data-raw "{
\"properties\": {
\"codeUri\": \"https://$AZURE_STORAGE_ACCOUNT.blob.core.windows.net/$AZUREML_DEFAULT_CONTAINER/score\"
}
}"
# </create_code>
# <upload_model>
az storage blob upload-batch -d $AZUREML_DEFAULT_CONTAINER/model -s endpoints/online/model-1/model
# </upload_model>
# <create_model>
curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/models/sklearn/versions/1?api-version=$API_VERSION" \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data-raw "{
\"properties\": {
\"modelUri\":\"azureml://subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/workspaces/$WORKSPACE/datastores/$AZUREML_DEFAULT_DATASTORE/paths/model\"
}
}"
# </create_model>
# <read_condafile>
CONDA_FILE=$(cat endpoints/online/model-1/environment/conda.yaml)
# <read_condafile>
# <create_environment>
ENV_VERSION=$RANDOM
curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/environments/sklearn-env/versions/$ENV_VERSION?api-version=$API_VERSION" \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data-raw "{
\"properties\":{
\"condaFile\": \"$CONDA_FILE\",
\"image\": \"mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04:20210727.v1\"
}
}"
# </create_environment>
#<create_endpoint>
response=$(curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME?api-version=$API_VERSION" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $TOKEN" \
--data-raw "{
\"identity\": {
\"type\": \"systemAssigned\"
},
\"properties\": {
\"authMode\": \"AMLToken\"
},
\"location\": \"$LOCATION\"
}")
#</create_endpoint>
echo "Endpoint response: $response"
operation_id=$(echo $response | jq -r '.properties.properties.AzureAsyncOperationUri')
wait_for_completion $operation_id
# <create_deployment>
response=$(curl --location --request PUT "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME/deployments/blue?api-version=$API_VERSION" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $TOKEN" \
--data-raw "{
\"location\": \"$LOCATION\",
\"sku\": {
\"capacity\": 1,
\"name\": \"Standard_DS2_v2\"
},
\"properties\": {
\"endpointComputeType\": \"Managed\",
\"scaleSettings\": {
\"scaleType\": \"Default\"
},
\"model\": \"/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/models/sklearn/versions/1\",
\"codeConfiguration\": {
\"codeId\": \"/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/codes/score-sklearn/versions/1\",
\"scoringScript\": \"score.py\"
},
\"environmentId\": \"/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/environments/sklearn-env/versions/$ENV_VERSION\"
}
}")
#</create_deployment>
echo "Endpoint response: $response"
operation_id=$(echo $response | jq -r '.properties.properties.AzureAsyncOperationUri')
wait_for_completion $operation_id
# <get_endpoint>
response=$(curl --location --request GET "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME?api-version=$API_VERSION" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $TOKEN")
scoringUri=$(echo $response | jq -r '.properties.scoringUri')
# </get_endpoint>
# <get_access_token>
response=$(curl -H "Content-Length: 0" --location --request POST "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME/token?api-version=$API_VERSION" \
--header "Authorization: Bearer $TOKEN")
accessToken=$(echo $response | jq -r '.accessToken')
# </get_access_token>
# <score_endpoint>
curl --location --request POST $scoringUri \
--header "Authorization: Bearer $accessToken" \
--header "Content-Type: application/json" \
--data-raw @endpoints/online/model-1/sample-request.json
# </score_endpoint>
# <get_deployment_logs>
curl --location --request POST "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME/deployments/blue/getLogs?api-version=$API_VERSION" \
--header "Authorization: Bearer $TOKEN" \
--header "Content-Type: application/json" \
--data-raw "{ \"tail\": 100 }"
#</get_deployment_logs>
# delete endpoint
# <delete_endpoint>
curl --location --request DELETE "https://management.azure.com/subscriptions/$SUBSCRIPTION_ID/resourceGroups/$RESOURCE_GROUP/providers/Microsoft.MachineLearningServices/workspaces/$WORKSPACE/onlineEndpoints/$ENDPOINT_NAME?api-version=$API_VERSION" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $TOKEN" || true
# </delete_endpoint>