# -*- 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 annotation from google.cloud.aiplatform_v1.types import data_item from google.cloud.aiplatform_v1.types import dataset from google.cloud.aiplatform_v1.types import dataset_service from google.cloud.aiplatform_v1.types import dataset_version from google.cloud.aiplatform_v1.types import saved_query class ListDatasetsPager: """A pager for iterating through ``list_datasets`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` object, and provides an ``__iter__`` method to iterate through its ``datasets`` field. If there are more pages, the ``__iter__`` method will make additional ``ListDatasets`` requests and continue to iterate through the ``datasets`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` 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[..., dataset_service.ListDatasetsResponse], request: dataset_service.ListDatasetsRequest, response: dataset_service.ListDatasetsResponse, *, 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.ListDatasetsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDatasetsResponse): 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 = dataset_service.ListDatasetsRequest(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[dataset_service.ListDatasetsResponse]: 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[dataset.Dataset]: for page in self.pages: yield from page.datasets def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListDatasetsAsyncPager: """A pager for iterating through ``list_datasets`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` object, and provides an ``__aiter__`` method to iterate through its ``datasets`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListDatasets`` requests and continue to iterate through the ``datasets`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetsResponse` 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[dataset_service.ListDatasetsResponse]], request: dataset_service.ListDatasetsRequest, response: dataset_service.ListDatasetsResponse, *, 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.ListDatasetsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDatasetsResponse): 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 = dataset_service.ListDatasetsRequest(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[dataset_service.ListDatasetsResponse]: 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[dataset.Dataset]: async def async_generator(): async for page in self.pages: for response in page.datasets: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListDatasetVersionsPager: """A pager for iterating through ``list_dataset_versions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` object, and provides an ``__iter__`` method to iterate through its ``dataset_versions`` field. If there are more pages, the ``__iter__`` method will make additional ``ListDatasetVersions`` requests and continue to iterate through the ``dataset_versions`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` 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[..., dataset_service.ListDatasetVersionsResponse], request: dataset_service.ListDatasetVersionsRequest, response: dataset_service.ListDatasetVersionsResponse, *, 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.ListDatasetVersionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse): 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 = dataset_service.ListDatasetVersionsRequest(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[dataset_service.ListDatasetVersionsResponse]: 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[dataset_version.DatasetVersion]: for page in self.pages: yield from page.dataset_versions def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListDatasetVersionsAsyncPager: """A pager for iterating through ``list_dataset_versions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` object, and provides an ``__aiter__`` method to iterate through its ``dataset_versions`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListDatasetVersions`` requests and continue to iterate through the ``dataset_versions`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse` 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[dataset_service.ListDatasetVersionsResponse]], request: dataset_service.ListDatasetVersionsRequest, response: dataset_service.ListDatasetVersionsResponse, *, 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.ListDatasetVersionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDatasetVersionsResponse): 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 = dataset_service.ListDatasetVersionsRequest(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[dataset_service.ListDatasetVersionsResponse]: 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[dataset_version.DatasetVersion]: async def async_generator(): async for page in self.pages: for response in page.dataset_versions: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListDataItemsPager: """A pager for iterating through ``list_data_items`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` object, and provides an ``__iter__`` method to iterate through its ``data_items`` field. If there are more pages, the ``__iter__`` method will make additional ``ListDataItems`` requests and continue to iterate through the ``data_items`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` 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[..., dataset_service.ListDataItemsResponse], request: dataset_service.ListDataItemsRequest, response: dataset_service.ListDataItemsResponse, *, 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.ListDataItemsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDataItemsResponse): 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 = dataset_service.ListDataItemsRequest(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[dataset_service.ListDataItemsResponse]: 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[data_item.DataItem]: for page in self.pages: yield from page.data_items def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListDataItemsAsyncPager: """A pager for iterating through ``list_data_items`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` object, and provides an ``__aiter__`` method to iterate through its ``data_items`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListDataItems`` requests and continue to iterate through the ``data_items`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListDataItemsResponse` 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[dataset_service.ListDataItemsResponse]], request: dataset_service.ListDataItemsRequest, response: dataset_service.ListDataItemsResponse, *, 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.ListDataItemsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListDataItemsResponse): 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 = dataset_service.ListDataItemsRequest(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[dataset_service.ListDataItemsResponse]: 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[data_item.DataItem]: async def async_generator(): async for page in self.pages: for response in page.data_items: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class SearchDataItemsPager: """A pager for iterating through ``search_data_items`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` object, and provides an ``__iter__`` method to iterate through its ``data_item_views`` field. If there are more pages, the ``__iter__`` method will make additional ``SearchDataItems`` requests and continue to iterate through the ``data_item_views`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` 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[..., dataset_service.SearchDataItemsResponse], request: dataset_service.SearchDataItemsRequest, response: dataset_service.SearchDataItemsResponse, *, 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.SearchDataItemsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.SearchDataItemsResponse): 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 = dataset_service.SearchDataItemsRequest(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[dataset_service.SearchDataItemsResponse]: 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[dataset_service.DataItemView]: for page in self.pages: yield from page.data_item_views def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class SearchDataItemsAsyncPager: """A pager for iterating through ``search_data_items`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` object, and provides an ``__aiter__`` method to iterate through its ``data_item_views`` field. If there are more pages, the ``__aiter__`` method will make additional ``SearchDataItems`` requests and continue to iterate through the ``data_item_views`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.SearchDataItemsResponse` 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[dataset_service.SearchDataItemsResponse]], request: dataset_service.SearchDataItemsRequest, response: dataset_service.SearchDataItemsResponse, *, 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.SearchDataItemsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.SearchDataItemsResponse): 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 = dataset_service.SearchDataItemsRequest(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[dataset_service.SearchDataItemsResponse]: 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[dataset_service.DataItemView]: async def async_generator(): async for page in self.pages: for response in page.data_item_views: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListSavedQueriesPager: """A pager for iterating through ``list_saved_queries`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` object, and provides an ``__iter__`` method to iterate through its ``saved_queries`` field. If there are more pages, the ``__iter__`` method will make additional ``ListSavedQueries`` requests and continue to iterate through the ``saved_queries`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` 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[..., dataset_service.ListSavedQueriesResponse], request: dataset_service.ListSavedQueriesRequest, response: dataset_service.ListSavedQueriesResponse, *, 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.ListSavedQueriesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListSavedQueriesResponse): 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 = dataset_service.ListSavedQueriesRequest(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[dataset_service.ListSavedQueriesResponse]: 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[saved_query.SavedQuery]: for page in self.pages: yield from page.saved_queries def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListSavedQueriesAsyncPager: """A pager for iterating through ``list_saved_queries`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` object, and provides an ``__aiter__`` method to iterate through its ``saved_queries`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListSavedQueries`` requests and continue to iterate through the ``saved_queries`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListSavedQueriesResponse` 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[dataset_service.ListSavedQueriesResponse]], request: dataset_service.ListSavedQueriesRequest, response: dataset_service.ListSavedQueriesResponse, *, 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.ListSavedQueriesRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListSavedQueriesResponse): 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 = dataset_service.ListSavedQueriesRequest(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[dataset_service.ListSavedQueriesResponse]: 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[saved_query.SavedQuery]: async def async_generator(): async for page in self.pages: for response in page.saved_queries: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListAnnotationsPager: """A pager for iterating through ``list_annotations`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` object, and provides an ``__iter__`` method to iterate through its ``annotations`` field. If there are more pages, the ``__iter__`` method will make additional ``ListAnnotations`` requests and continue to iterate through the ``annotations`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` 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[..., dataset_service.ListAnnotationsResponse], request: dataset_service.ListAnnotationsRequest, response: dataset_service.ListAnnotationsResponse, *, 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.ListAnnotationsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListAnnotationsResponse): 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 = dataset_service.ListAnnotationsRequest(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[dataset_service.ListAnnotationsResponse]: 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[annotation.Annotation]: for page in self.pages: yield from page.annotations def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListAnnotationsAsyncPager: """A pager for iterating through ``list_annotations`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` object, and provides an ``__aiter__`` method to iterate through its ``annotations`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListAnnotations`` requests and continue to iterate through the ``annotations`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListAnnotationsResponse` 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[dataset_service.ListAnnotationsResponse]], request: dataset_service.ListAnnotationsRequest, response: dataset_service.ListAnnotationsResponse, *, 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.ListAnnotationsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListAnnotationsResponse): 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 = dataset_service.ListAnnotationsRequest(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[dataset_service.ListAnnotationsResponse]: 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[annotation.Annotation]: async def async_generator(): async for page in self.pages: for response in page.annotations: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)