我如何使用 Azure 进行身份验证,以便 运行 数据工厂管道测试 python 行为?

How do I authenticate with Azure in order to run a data factory pipeline test with python behave?

我在 Azure 数据工厂上有一个管道,我想为使用 python 行为编写一个测试。现在我只想 运行 在本地进行测试。以下命令现在不会运行,因为我还没有以任何方式进行身份验证。

get_client_from_cli_profile(DataFactoryManagementClient)

错误消息说我需要 运行 'az login' 来设置帐户。

knack.util.CLIError: Please run 'az login' to setup account.

有人可以举例说明我是如何做到这一点的吗?

特征

Feature: Run pipeline
    Scenario: Get pipeline
        Given we get the pipeline

步骤

@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)

获取管道的代码

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)

双向:

1.install Azure CLI,然后 az login 访问 Azure。(下载 link:https://docs.microsoft.com/en-us/cli/azure/install-azure-cli

2.no 需要安装 Azure CLI,但像这样更改代码:

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)

你的步骤是这样的:

@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)