# -*- 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 artifact from google.cloud.aiplatform_v1.types import context from google.cloud.aiplatform_v1.types import execution from google.cloud.aiplatform_v1.types import metadata_schema from google.cloud.aiplatform_v1.types import metadata_service from google.cloud.aiplatform_v1.types import metadata_store class ListMetadataStoresPager: """A pager for iterating through ``list_metadata_stores`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` object, and provides an ``__iter__`` method to iterate through its ``metadata_stores`` field. If there are more pages, the ``__iter__`` method will make additional ``ListMetadataStores`` requests and continue to iterate through the ``metadata_stores`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` 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[..., metadata_service.ListMetadataStoresResponse], request: metadata_service.ListMetadataStoresRequest, response: metadata_service.ListMetadataStoresResponse, *, 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.ListMetadataStoresRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListMetadataStoresResponse): 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 = metadata_service.ListMetadataStoresRequest(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[metadata_service.ListMetadataStoresResponse]: 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[metadata_store.MetadataStore]: for page in self.pages: yield from page.metadata_stores def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListMetadataStoresAsyncPager: """A pager for iterating through ``list_metadata_stores`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` object, and provides an ``__aiter__`` method to iterate through its ``metadata_stores`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListMetadataStores`` requests and continue to iterate through the ``metadata_stores`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataStoresResponse` 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[metadata_service.ListMetadataStoresResponse]], request: metadata_service.ListMetadataStoresRequest, response: metadata_service.ListMetadataStoresResponse, *, 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.ListMetadataStoresRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListMetadataStoresResponse): 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 = metadata_service.ListMetadataStoresRequest(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[metadata_service.ListMetadataStoresResponse]: 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[metadata_store.MetadataStore]: async def async_generator(): async for page in self.pages: for response in page.metadata_stores: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListArtifactsPager: """A pager for iterating through ``list_artifacts`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` object, and provides an ``__iter__`` method to iterate through its ``artifacts`` field. If there are more pages, the ``__iter__`` method will make additional ``ListArtifacts`` requests and continue to iterate through the ``artifacts`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` 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[..., metadata_service.ListArtifactsResponse], request: metadata_service.ListArtifactsRequest, response: metadata_service.ListArtifactsResponse, *, 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.ListArtifactsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListArtifactsResponse): 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 = metadata_service.ListArtifactsRequest(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[metadata_service.ListArtifactsResponse]: 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[artifact.Artifact]: for page in self.pages: yield from page.artifacts def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListArtifactsAsyncPager: """A pager for iterating through ``list_artifacts`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` object, and provides an ``__aiter__`` method to iterate through its ``artifacts`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListArtifacts`` requests and continue to iterate through the ``artifacts`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListArtifactsResponse` 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[metadata_service.ListArtifactsResponse]], request: metadata_service.ListArtifactsRequest, response: metadata_service.ListArtifactsResponse, *, 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.ListArtifactsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListArtifactsResponse): 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 = metadata_service.ListArtifactsRequest(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[metadata_service.ListArtifactsResponse]: 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[artifact.Artifact]: async def async_generator(): async for page in self.pages: for response in page.artifacts: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListContextsPager: """A pager for iterating through ``list_contexts`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` object, and provides an ``__iter__`` method to iterate through its ``contexts`` field. If there are more pages, the ``__iter__`` method will make additional ``ListContexts`` requests and continue to iterate through the ``contexts`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` 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[..., metadata_service.ListContextsResponse], request: metadata_service.ListContextsRequest, response: metadata_service.ListContextsResponse, *, 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.ListContextsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListContextsResponse): 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 = metadata_service.ListContextsRequest(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[metadata_service.ListContextsResponse]: 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[context.Context]: for page in self.pages: yield from page.contexts def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListContextsAsyncPager: """A pager for iterating through ``list_contexts`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` object, and provides an ``__aiter__`` method to iterate through its ``contexts`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListContexts`` requests and continue to iterate through the ``contexts`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListContextsResponse` 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[metadata_service.ListContextsResponse]], request: metadata_service.ListContextsRequest, response: metadata_service.ListContextsResponse, *, 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.ListContextsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListContextsResponse): 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 = metadata_service.ListContextsRequest(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[metadata_service.ListContextsResponse]: 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[context.Context]: async def async_generator(): async for page in self.pages: for response in page.contexts: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListExecutionsPager: """A pager for iterating through ``list_executions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` object, and provides an ``__iter__`` method to iterate through its ``executions`` field. If there are more pages, the ``__iter__`` method will make additional ``ListExecutions`` requests and continue to iterate through the ``executions`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` 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[..., metadata_service.ListExecutionsResponse], request: metadata_service.ListExecutionsRequest, response: metadata_service.ListExecutionsResponse, *, 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.ListExecutionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListExecutionsResponse): 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 = metadata_service.ListExecutionsRequest(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[metadata_service.ListExecutionsResponse]: 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[execution.Execution]: for page in self.pages: yield from page.executions def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListExecutionsAsyncPager: """A pager for iterating through ``list_executions`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` object, and provides an ``__aiter__`` method to iterate through its ``executions`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListExecutions`` requests and continue to iterate through the ``executions`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListExecutionsResponse` 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[metadata_service.ListExecutionsResponse]], request: metadata_service.ListExecutionsRequest, response: metadata_service.ListExecutionsResponse, *, 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.ListExecutionsRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListExecutionsResponse): 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 = metadata_service.ListExecutionsRequest(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[metadata_service.ListExecutionsResponse]: 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[execution.Execution]: async def async_generator(): async for page in self.pages: for response in page.executions: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListMetadataSchemasPager: """A pager for iterating through ``list_metadata_schemas`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` object, and provides an ``__iter__`` method to iterate through its ``metadata_schemas`` field. If there are more pages, the ``__iter__`` method will make additional ``ListMetadataSchemas`` requests and continue to iterate through the ``metadata_schemas`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` 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[..., metadata_service.ListMetadataSchemasResponse], request: metadata_service.ListMetadataSchemasRequest, response: metadata_service.ListMetadataSchemasResponse, *, 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.ListMetadataSchemasRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse): 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 = metadata_service.ListMetadataSchemasRequest(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[metadata_service.ListMetadataSchemasResponse]: 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[metadata_schema.MetadataSchema]: for page in self.pages: yield from page.metadata_schemas def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response) class ListMetadataSchemasAsyncPager: """A pager for iterating through ``list_metadata_schemas`` requests. This class thinly wraps an initial :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` object, and provides an ``__aiter__`` method to iterate through its ``metadata_schemas`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListMetadataSchemas`` requests and continue to iterate through the ``metadata_schemas`` field on the corresponding responses. All the usual :class:`google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse` 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[metadata_service.ListMetadataSchemasResponse]], request: metadata_service.ListMetadataSchemasRequest, response: metadata_service.ListMetadataSchemasResponse, *, 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.ListMetadataSchemasRequest): The initial request object. response (google.cloud.aiplatform_v1.types.ListMetadataSchemasResponse): 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 = metadata_service.ListMetadataSchemasRequest(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[metadata_service.ListMetadataSchemasResponse]: 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[metadata_schema.MetadataSchema]: async def async_generator(): async for page in self.pages: for response in page.metadata_schemas: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)