Module pagers (1.54.0)

API documentation for aiplatform_v1beta1.services.pipeline_service.pagers module.

Classes

ListPipelineJobsAsyncPager

ListPipelineJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_pipeline_jobs requests.

This class thinly wraps an initial ListPipelineJobsResponse object, and provides an __aiter__ method to iterate through its pipeline_jobs field.

If there are more pages, the __aiter__ method will make additional ListPipelineJobs requests and continue to iterate through the pipeline_jobs field on the corresponding responses.

All the usual ListPipelineJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListPipelineJobsPager

ListPipelineJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListPipelineJobsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_pipeline_jobs requests.

This class thinly wraps an initial ListPipelineJobsResponse object, and provides an __iter__ method to iterate through its pipeline_jobs field.

If there are more pages, the __iter__ method will make additional ListPipelineJobs requests and continue to iterate through the pipeline_jobs field on the corresponding responses.

All the usual ListPipelineJobsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListTrainingPipelinesAsyncPager

ListTrainingPipelinesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_training_pipelines requests.

This class thinly wraps an initial ListTrainingPipelinesResponse object, and provides an __aiter__ method to iterate through its training_pipelines field.

If there are more pages, the __aiter__ method will make additional ListTrainingPipelines requests and continue to iterate through the training_pipelines field on the corresponding responses.

All the usual ListTrainingPipelinesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListTrainingPipelinesPager

ListTrainingPipelinesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesRequest,
    response: google.cloud.aiplatform_v1beta1.types.pipeline_service.ListTrainingPipelinesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_training_pipelines requests.

This class thinly wraps an initial ListTrainingPipelinesResponse object, and provides an __iter__ method to iterate through its training_pipelines field.

If there are more pages, the __iter__ method will make additional ListTrainingPipelines requests and continue to iterate through the training_pipelines field on the corresponding responses.

All the usual ListTrainingPipelinesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.