Class ExportTensorboardTimeSeriesDataAsyncPager (1.74.0)

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ExportTensorboardTimeSeriesDataAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    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 export_tensorboard_time_series_data requests.

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

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

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

Methods

ExportTensorboardTimeSeriesDataAsyncPager

ExportTensorboardTimeSeriesDataAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    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]] = ()
)

Instantiates the pager.

Parameters
Name	Description
method	Callable The method that was originally called, and which instantiated this pager.
request	google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataRequest The initial request object.
response	google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataResponse The initial response object.
retry	google.api_core.retry.AsyncRetry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.