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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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary.Retry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
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.