PrivacyScanData/target/Azure/submit_azureml_pytest_1.py

def setup_workspace(workspace_name, subscription_id, resource_group, cli_auth,
                    location):
    """
    This sets up an Azure Workspace.
    An existing Azure Workspace is used or a new one is created if needed for
    the pytest run.

    Args:
        workspace_name  (str): Centralized location on Azure to work
                               with all the artifacts used by AzureML
                               service
        subscription_id (str): the Azure subscription id
        resource_group  (str): Azure Resource Groups are logical collections of
                         assets associated with a project. Resource groups
                         make it easy to track or delete all resources
                         associated with a project by tracking or deleting
                         the Resource group.
        cli_auth         Azure authentication
        location        (str): workspace reference

    Returns:
        ws: workspace reference
    """
    logger.debug('setup: workspace_name is {}'.format(workspace_name))
    logger.debug('setup: resource_group is {}'.format(resource_group))
    logger.debug('setup: subid is {}'.format(subscription_id))
    logger.debug('setup: location is {}'.format(location))

    try:
            # use existing workspace if there is one
            ws = Workspace.get(
                name=workspace_name,
                subscription_id=subscription_id,
                resource_group=resource_group,
                auth=cli_auth
            )
    except WorkspaceException:
            # this call might take a minute or two.
            logger.debug('Creating new workspace')
            ws = Workspace.create(
                name=workspace_name,
                subscription_id=subscription_id,
                resource_group=resource_group,
                # create_resource_group=True,
                location=location,
                auth=cli_auth
            )
    return ws