tests.system.amazon.aws.example_sagemaker_unified_studio

属性

pytestmark

DAG_ID

DOMAIN_ID_KEY

PROJECT_ID_KEY

ENVIRONMENT_ID_KEY

S3_PATH_KEY

REGION_NAME_KEY

sys_test_context_task

test_context

test_run

函数

get_mwaa_environment_params(domain_id, project_id, ...)

mock_mwaa_environment(parameters)

在容器中设置多个环境变量,以模拟配置的 MWAA 环境

模块内容

tests.system.amazon.aws.example_sagemaker_unified_studio.pytestmark[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.DAG_ID = 'example_sagemaker_unified_studio'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.DOMAIN_ID_KEY = 'DOMAIN_ID'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.PROJECT_ID_KEY = 'PROJECT_ID'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.ENVIRONMENT_ID_KEY = 'ENVIRONMENT_ID'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.S3_PATH_KEY = 'S3_PATH'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.REGION_NAME_KEY = 'REGION_NAME'[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.sys_test_context_task[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.get_mwaa_environment_params(domain_id, project_id, environment_id, s3_path, region_name)[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.mock_mwaa_environment(parameters)[source]

在容器中设置多个环境变量,以模拟在 SageMaker Unified Studio 中配置的 MWAA 环境。当在 ECSExecutor 中运行时,这是一个无操作。

tests.system.amazon.aws.example_sagemaker_unified_studio.test_context[source]
tests.system.amazon.aws.example_sagemaker_unified_studio.test_run[source]

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