azure-mgmt-machinelearningcompute

import os from msrestazure.azure_active_directory import ServicePrincipalCredentials from azure.mgmt.machinelearningcompute import MachineLearningComputeManagementClient # This library is very old and typically requires legacy authentication methods like Service Principal. # Ensure AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID are set. tenant_id = os.environ.get("AZURE_TENANT_ID", "") client_id = os.environ.get("AZURE_CLIENT_ID", "") client_secret = os.environ.get("AZURE_CLIENT_SECRET", "") subscription_id = os.environ.get("AZURE_SUBSCRIPTION_ID", "") if not all([tenant_id, client_id, client_secret, subscription_id]): print("Please set AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_SUBSCRIPTION_ID environment variables.") print("This library uses legacy authentication that may not integrate with modern Azure Identity methods.") else: try: credentials = ServicePrincipalCredentials( client_id=client_id, secret=client_secret, tenant=tenant_id ) client = MachineLearningComputeManagementClient(credentials, subscription_id) print("Attempting to list available operations (might fail if resources are deprecated)...") operations = list(client.operations.list()) if operations: print(f"Found {len(operations)} operations. First one: {operations[0].name}") else: print("No operations found or unable to list.") except Exception as e: print(f"An error occurred: {e}") print("This library is abandoned and its operations may no longer be functional or supported.")