I have a pipeline on Azure Data Factory that I want to write a test for using python behave. For now I just want to run a test locally. The following command won't run just now as I haven't authenticated in any way.
get_client_from_cli_profile(DataFactoryManagementClient)
The error message says I need to run 'az login' to setup account.
knack.util.CLIError: Please run 'az login' to setup account.
Could somebody give an example of how I do this?
Feature
Feature: Run pipeline
Scenario: Get pipeline
Given we get the pipeline
Step
@given('we get the pipeline')
def get_pipeline(context):
pipeline_name = "xxx"
resource_group = "yyy"
data_factory = "zzz"
parameters={}
pipeline = get_datafactory_pipeline(pipeline_name, resource_group, data_factory, parameters)
Code to get pipeline
from azure.common.client_factory import get_client_from_cli_profile
from azure.mgmt.datafactory import DataFactoryManagementClient
def get_datafactory_pipeline(pipeline_name, resource_group, data_factory, parameters):
return get_client_from_cli_profile(DataFactoryManagementClient().pipelines.create_run(
resource_group_name = resource_group,
factory_name = data_factory,
pipeline_name = pipeline_name,
parameters = parameters)
Two way:
1.install Azure CLI and then az login
access to Azure.(download link:https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)
2.no need to install Azure CLI but change your code like this:
def get_datafactory_pipeline(subscription_id,credentials,pipeline_name, resource_group, data_factory, parameters):
return DataFactoryManagementClient(credentials,subscription_id).pipelines.create_run(
resource_group_name=resource_group,
factory_name=data_factory,
pipeline_name=pipeline_name,
parameters=parameters)
and your step like this:
@given('we get the pipeline')
def get_pipeline(context):
subscription_id = '<Specify your Azure Subscription ID>'
credentials = ServicePrincipalCredentials(client_id='<Active Directory application/client ID>', secret='<client secret>', tenant='<Active Directory tenant ID>')
pipeline_name = "xxx"
resource_group = "yyy"
data_factory = "zzz"
parameters={}
pipeline = get_datafactory_pipeline(subscription_id,credentials,pipeline_name, resource_group, data_factory, parameters)