Class ExportTensorboardTimeSeriesDataAsyncPager (1.73.0)

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.