Question 105542 in Azure Question posted in
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Azure – Please set the default workspace with MLClient

Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient? Trying to use data asset
https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-register-data-assets?tabs=Python-SDK

from azure.ai.ml.entities import Data
from azure.ai.ml.constants import AssetTypes
from azure.ai.ml import MLClient

#Enter details of your AzureML workspace
subscription_id = "<SUBSCRIPTION_ID>"
resource_group = "<RESOURCE_GROUP>"
workspace = "<AZUREML_WORKSPACE_NAME>"
ml_client = MLClient(subscription_id, resource_group, workspace)
data_location='path'

my_data = Data(
    path=data_loacation,
    type=AssetTypes.URI_FOLDER,
    description="Data",
    name="Data_test")

ml_client.data.create_or_update(my_data)
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2

Answers


  1. 0

    Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient?

    Make sure you have installed Python SDK azure-ai-ml v2(preview) using pip install --pre azure-ai-ml

    You can try following code snippets taken from workspace.ipynb to set the default workspace with MLClient:

    Import required libraries:

    from azure.ai.ml import MLClient
from azure.ai.ml.entities import Workspace
from azure.identity import DefaultAzureCredential

ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group)

    Creating a unique workspace name with current datetime to avoid conflicts:

    import datetime

basic_workspace_name = "mlw-basic-prod-" + datetime.datetime.now().strftime(
    "%Y%m%d%H%M"
)

ws_basic = Workspace(
    name=basic_workspace_name,
    location="eastus",
    display_name="Basic workspace-example",
    description="This example shows how to create a basic workspace",
    hbi_workspace=False,
    tags=dict(purpose="demo"),
)
ml_client.workspaces.begin_create(ws_basic)

    Get a list of workspaces in a resource group:

    for ws in my_ml_client.workspaces.list():
    print(ws.name, ":", ws.location, ":", ws.description)

    Load a specific workspace using parameters:

    ws = MLClient(DefaultAzureCredential(), subscription_id='<SUBSCRIPTION_ID>', resource_group_name='<RESOURCE_GROUP>', workspace_name='<AML_WORKSPACE_NAME>')
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  2. 0

    I recommend to replace <SUBSCRIPTION_ID>, <RESOURCE_GROUP> and <AZUREML_WORKSPACE_NAME> with actual values.
    If you do that, the MLClient constructor will set the workspace accordingly.

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