As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Source code for google.ai.generativelanguage_v1beta.services.file_service.pagers

# -*- coding: utf-8 -*-
# Copyright 2024 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 typing import (
    Any,
    AsyncIterator,
    Awaitable,
    Callable,
    Iterator,
    Optional,
    Sequence,
    Tuple,
    Union,
)

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

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.ai.generativelanguage_v1beta.types import file, file_service


[docs]class ListFilesPager: """A pager for iterating through ``list_files`` requests. This class thinly wraps an initial :class:`google.ai.generativelanguage_v1beta.types.ListFilesResponse` object, and provides an ``__iter__`` method to iterate through its ``files`` field. If there are more pages, the ``__iter__`` method will make additional ``ListFiles`` requests and continue to iterate through the ``files`` field on the corresponding responses. All the usual :class:`google.ai.generativelanguage_v1beta.types.ListFilesResponse` 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[..., file_service.ListFilesResponse], request: file_service.ListFilesRequest, response: file_service.ListFilesResponse, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = () ): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.ai.generativelanguage_v1beta.types.ListFilesRequest): The initial request object. response (google.ai.generativelanguage_v1beta.types.ListFilesResponse): 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, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = file_service.ListFilesRequest(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[file_service.ListFilesResponse]: 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[file.File]: for page in self.pages: yield from page.files def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)
[docs]class ListFilesAsyncPager: """A pager for iterating through ``list_files`` requests. This class thinly wraps an initial :class:`google.ai.generativelanguage_v1beta.types.ListFilesResponse` object, and provides an ``__aiter__`` method to iterate through its ``files`` field. If there are more pages, the ``__aiter__`` method will make additional ``ListFiles`` requests and continue to iterate through the ``files`` field on the corresponding responses. All the usual :class:`google.ai.generativelanguage_v1beta.types.ListFilesResponse` 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[file_service.ListFilesResponse]], request: file_service.ListFilesRequest, response: file_service.ListFilesResponse, *, retry: OptionalAsyncRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = () ): """Instantiates the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.ai.generativelanguage_v1beta.types.ListFilesRequest): The initial request object. response (google.ai.generativelanguage_v1beta.types.ListFilesResponse): 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. """ self._method = method self._request = file_service.ListFilesRequest(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[file_service.ListFilesResponse]: 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[file.File]: async def async_generator(): async for page in self.pages: for response in page.files: yield response return async_generator() def __repr__(self) -> str: return "{0}<{1!r}>".format(self.__class__.__name__, self._response)