# -*- coding: utf-8 -*- # Copyright 2025 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from google.api_core import gapic_v1 from google.api_core import retry as retries from google.api_core import retry_async as retries_async from typing import ( Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator, Union, ) try: OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] OptionalAsyncRetry = Union[ retries_async.AsyncRetry, gapic_v1.method._MethodDefault, None ] except AttributeError: # pragma: NO COVER OptionalRetry = Union[retries.Retry, object, None] # type: ignore OptionalAsyncRetry = Union[retries_async.AsyncRetry, object, None] # type: ignore from google.cloud.aiplatform_v1.types import tensorboard from google.cloud.aiplatform_v1.types import tensorboard_data from google.cloud.aiplatform_v1.types import tensorboard_experiment from google.cloud.aiplatform_v1.types import tensorboard_run from google.cloud.aiplatform_v1.types import tensorboard_service from google.cloud.aiplatform_v1.types import tensorboard_time_series class ListTensorboardsPager: """A pager for iterating through ``list_tensorboards`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardsResponse` object, and provides an ``__iter__`` method to iterate through its ``tensorboards`` field. If there are more pages, the ``__iter__`` method will make additional ``ListTensorboards`` requests and continue to iterate through the ``tensorboards`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., tensorboard_service.ListTensorboardsResponse], request: tensorboard_service.ListTensorboardsRequest, response: tensorboard_service.ListTensorboardsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardsResponse): The initial response object. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[tensorboard_service.ListTensorboardsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[tensorboard.Tensorboard]: for page in self.pages: yield from page.tensorboards def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardsAsyncPager: """A pager for iterating through ``list_tensorboards`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardsResponse` object, and provides an ``__aiter__`` method to iterate through its ``tensorboards`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListTensorboards`` requests and continue to iterate through the ``tensorboards`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., Awaitable[tensorboard_service.ListTensorboardsResponse]], request: tensorboard_service.ListTensorboardsRequest, response: tensorboard_service.ListTensorboardsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardsResponse): 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, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[tensorboard_service.ListTensorboardsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[tensorboard.Tensorboard]: async def async_generator(): async for page in self.pages: for response in page.tensorboards: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardExperimentsPager: """A pager for iterating through ``list_tensorboard_experiments`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse` object, and provides an ``__iter__`` method to iterate through its ``tensorboard_experiments`` field. If there are more pages, the ``__iter__`` method will make additional ``ListTensorboardExperiments`` requests and continue to iterate through the ``tensorboard_experiments`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., tensorboard_service.ListTensorboardExperimentsResponse], request: tensorboard_service.ListTensorboardExperimentsRequest, response: tensorboard_service.ListTensorboardExperimentsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardExperimentsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse): The initial response object. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardExperimentsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[tensorboard_service.ListTensorboardExperimentsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[tensorboard_experiment.TensorboardExperiment]: for page in self.pages: yield from page.tensorboard_experiments def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardExperimentsAsyncPager: """A pager for iterating through ``list_tensorboard_experiments`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse` object, and provides an ``__aiter__`` method to iterate through its ``tensorboard_experiments`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListTensorboardExperiments`` requests and continue to iterate through the ``tensorboard_experiments`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[ ..., Awaitable[tensorboard_service.ListTensorboardExperimentsResponse] ], request: tensorboard_service.ListTensorboardExperimentsRequest, response: tensorboard_service.ListTensorboardExperimentsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardExperimentsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardExperimentsResponse): 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, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardExperimentsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[tensorboard_service.ListTensorboardExperimentsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[tensorboard_experiment.TensorboardExperiment]: async def async_generator(): async for page in self.pages: for response in page.tensorboard_experiments: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardRunsPager: """A pager for iterating through ``list_tensorboard_runs`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse` object, and provides an ``__iter__`` method to iterate through its ``tensorboard_runs`` field. If there are more pages, the ``__iter__`` method will make additional ``ListTensorboardRuns`` requests and continue to iterate through the ``tensorboard_runs`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., tensorboard_service.ListTensorboardRunsResponse], request: tensorboard_service.ListTensorboardRunsRequest, response: tensorboard_service.ListTensorboardRunsResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardRunsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse): The initial response object. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardRunsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[tensorboard_service.ListTensorboardRunsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[tensorboard_run.TensorboardRun]: for page in self.pages: yield from page.tensorboard_runs def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardRunsAsyncPager: """A pager for iterating through ``list_tensorboard_runs`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse` object, and provides an ``__aiter__`` method to iterate through its ``tensorboard_runs`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListTensorboardRuns`` requests and continue to iterate through the ``tensorboard_runs`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[ ..., Awaitable[tensorboard_service.ListTensorboardRunsResponse] ], request: tensorboard_service.ListTensorboardRunsRequest, response: tensorboard_service.ListTensorboardRunsResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardRunsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardRunsResponse): 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, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardRunsRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[tensorboard_service.ListTensorboardRunsResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[tensorboard_run.TensorboardRun]: async def async_generator(): async for page in self.pages: for response in page.tensorboard_runs: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardTimeSeriesPager: """A pager for iterating through ``list_tensorboard_time_series`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse` object, and provides an ``__iter__`` method to iterate through its ``tensorboard_time_series`` field. If there are more pages, the ``__iter__`` method will make additional ``ListTensorboardTimeSeries`` requests and continue to iterate through the ``tensorboard_time_series`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[..., tensorboard_service.ListTensorboardTimeSeriesResponse], request: tensorboard_service.ListTensorboardTimeSeriesRequest, response: tensorboard_service.ListTensorboardTimeSeriesResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse): The initial response object. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardTimeSeriesRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages(self) -> Iterator[tensorboard_service.ListTensorboardTimeSeriesResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[tensorboard_time_series.TensorboardTimeSeries]: for page in self.pages: yield from page.tensorboard_time_series def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListTensorboardTimeSeriesAsyncPager: """A pager for iterating through ``list_tensorboard_time_series`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse` object, and provides an ``__aiter__`` method to iterate through its ``tensorboard_time_series`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListTensorboardTimeSeries`` requests and continue to iterate through the ``tensorboard_time_series`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse` attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup. """ def __init__( self, method: Callable[ ..., Awaitable[tensorboard_service.ListTensorboardTimeSeriesResponse] ], request: tensorboard_service.ListTensorboardTimeSeriesRequest, response: tensorboard_service.ListTensorboardTimeSeriesResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListTensorboardTimeSeriesResponse): 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, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ListTensorboardTimeSeriesRequest(request) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[tensorboard_service.ListTensorboardTimeSeriesResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[tensorboard_time_series.TensorboardTimeSeries]: async def async_generator(): async for page in self.pages: for response in page.tensorboard_time_series: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ExportTensorboardTimeSeriesDataPager: """A pager for iterating through ``export_tensorboard_time_series_data`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ExportTensorboardTimeSeriesDataResponse` object, and provides an ``__iter__`` method to iterate through its ``time_series_data_points`` field. If there are more pages, the ``__iter__`` method will make additional ``ExportTensorboardTimeSeriesData`` requests and continue to iterate through the ``time_series_data_points`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.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. """ def __init__( self, method: Callable[ ..., tensorboard_service.ExportTensorboardTimeSeriesDataResponse ], request: tensorboard_service.ExportTensorboardTimeSeriesDataRequest, response: tensorboard_service.ExportTensorboardTimeSeriesDataResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiate the pager. Args: 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.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ExportTensorboardTimeSeriesDataRequest( request ) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property def pages( self, ) -> Iterator[tensorboard_service.ExportTensorboardTimeSeriesDataResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __iter__(self) -> Iterator[tensorboard_data.TimeSeriesDataPoint]: for page in self.pages: yield from page.time_series_data_points def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ExportTensorboardTimeSeriesDataAsyncPager: """A pager for iterating through ``export_tensorboard_time_series_data`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.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 :class:`google.cloud.aiplatform_v1.types.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. """ def __init__( self, method: Callable[ ..., Awaitable[tensorboard_service.ExportTensorboardTimeSeriesDataResponse] ], request: tensorboard_service.ExportTensorboardTimeSeriesDataRequest, response: tensorboard_service.ExportTensorboardTimeSeriesDataResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, Union[str, bytes]]] = () ): """Instantiates the pager. Args: 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, Union[str, bytes]]]): Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type `str`, but for metadata keys ending with the suffix `-bin`, the corresponding values must be of type `bytes`. """ self._method = method self._request = tensorboard_service.ExportTensorboardTimeSeriesDataRequest( request ) self._response = response self._retry = retry self._timeout = timeout self._metadata = metadata def __getattr__(self, name: str) -> Any: return getattr(self._response, name) @property async def pages( self, ) -> AsyncIterator[tensorboard_service.ExportTensorboardTimeSeriesDataResponse]: yield self._response while self._response.next_page_token: self._request.page_token = self._response.next_page_token self._response = await self._method( self._request, retry=self._retry, timeout=self._timeout, metadata=self._metadata, ) yield self._response def __aiter__(self) -> AsyncIterator[tensorboard_data.TimeSeriesDataPoint]: async def async_generator(): async for page in self.pages: for response in page.time_series_data_points: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)