azure_ml_compute_client_list_operationalization_clusters.py

1from azure.identity import DefaultAzureCredential
2from azure.mgmt.machinelearningcompute import MachineLearningComputeManagementClient
3import os
4
5def run_example():
6    # Substitution of your Azure subscription ID
7    subscription_id = os.environ.get("AZURE_SUBSCRIPTION_ID", "your-subscription-id")
8
9    # Authenticate using default Azure credentials
10    # Ensure AZURE_TENANT_ID, AZURE_CLIENT_ID, and AZURE_CLIENT_SECRET are set as environment variables
11    credential = DefaultAzureCredential()
12
13    # Initialize the management client
14    ml_compute_client = MachineLearningComputeManagementClient(
15        credential=credential,
16        subscription_id=subscription_id
17    )
18
19    # Example: List all operationalization clusters in the subscription
20    print("Listing operationalization clusters...")
21    clusters = ml_compute_client.operationalization_clusters.list()
22
23    for cluster in clusters:
24        print(f"Cluster Name: {cluster.name}")
25        print(f"Location: {cluster.location}")
26        print(f"Provisioning State: {cluster.provisioning_state}")
27
28if __name__ == "__main__":
29    run_example()