# -*- 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. # import dataclasses import json # type: ignore import logging from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union import warnings from google.api_core import exceptions as core_exceptions from google.api_core import gapic_v1, rest_helpers, rest_streaming from google.api_core import retry as retries from google.auth import credentials as ga_credentials # type: ignore from google.auth.transport.requests import AuthorizedSession # type: ignore from google.longrunning import operations_pb2 # type: ignore from google.protobuf import empty_pb2 # type: ignore from google.protobuf import json_format from requests import __version__ as requests_version from google.ai.generativelanguage_v1beta.types import ( cached_content as gag_cached_content, ) from google.ai.generativelanguage_v1beta.types import cache_service from google.ai.generativelanguage_v1beta.types import cached_content from .base import DEFAULT_CLIENT_INFO as BASE_DEFAULT_CLIENT_INFO from .rest_base import _BaseCacheServiceRestTransport try: OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None] except AttributeError: # pragma: NO COVER OptionalRetry = Union[retries.Retry, object, None] # type: ignore try: from google.api_core import client_logging # type: ignore CLIENT_LOGGING_SUPPORTED = True # pragma: NO COVER except ImportError: # pragma: NO COVER CLIENT_LOGGING_SUPPORTED = False _LOGGER = logging.getLogger(__name__) DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=BASE_DEFAULT_CLIENT_INFO.gapic_version, grpc_version=None, rest_version=f"requests@{requests_version}", ) class CacheServiceRestInterceptor: """Interceptor for CacheService. Interceptors are used to manipulate requests, request metadata, and responses in arbitrary ways. Example use cases include: * Logging * Verifying requests according to service or custom semantics * Stripping extraneous information from responses These use cases and more can be enabled by injecting an instance of a custom subclass when constructing the CacheServiceRestTransport. .. code-block:: python class MyCustomCacheServiceInterceptor(CacheServiceRestInterceptor): def pre_create_cached_content(self, request, metadata): logging.log(f"Received request: {request}") return request, metadata def post_create_cached_content(self, response): logging.log(f"Received response: {response}") return response def pre_delete_cached_content(self, request, metadata): logging.log(f"Received request: {request}") return request, metadata def pre_get_cached_content(self, request, metadata): logging.log(f"Received request: {request}") return request, metadata def post_get_cached_content(self, response): logging.log(f"Received response: {response}") return response def pre_list_cached_contents(self, request, metadata): logging.log(f"Received request: {request}") return request, metadata def post_list_cached_contents(self, response): logging.log(f"Received response: {response}") return response def pre_update_cached_content(self, request, metadata): logging.log(f"Received request: {request}") return request, metadata def post_update_cached_content(self, response): logging.log(f"Received response: {response}") return response transport = CacheServiceRestTransport(interceptor=MyCustomCacheServiceInterceptor()) client = CacheServiceClient(transport=transport) """ def pre_create_cached_content( self, request: cache_service.CreateCachedContentRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ cache_service.CreateCachedContentRequest, Sequence[Tuple[str, Union[str, bytes]]], ]: """Pre-rpc interceptor for create_cached_content Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_create_cached_content( self, response: gag_cached_content.CachedContent ) -> gag_cached_content.CachedContent: """Post-rpc interceptor for create_cached_content Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response def pre_delete_cached_content( self, request: cache_service.DeleteCachedContentRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ cache_service.DeleteCachedContentRequest, Sequence[Tuple[str, Union[str, bytes]]], ]: """Pre-rpc interceptor for delete_cached_content Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def pre_get_cached_content( self, request: cache_service.GetCachedContentRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ cache_service.GetCachedContentRequest, Sequence[Tuple[str, Union[str, bytes]]] ]: """Pre-rpc interceptor for get_cached_content Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_get_cached_content( self, response: cached_content.CachedContent ) -> cached_content.CachedContent: """Post-rpc interceptor for get_cached_content Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response def pre_list_cached_contents( self, request: cache_service.ListCachedContentsRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ cache_service.ListCachedContentsRequest, Sequence[Tuple[str, Union[str, bytes]]] ]: """Pre-rpc interceptor for list_cached_contents Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_list_cached_contents( self, response: cache_service.ListCachedContentsResponse ) -> cache_service.ListCachedContentsResponse: """Post-rpc interceptor for list_cached_contents Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response def pre_update_cached_content( self, request: cache_service.UpdateCachedContentRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ cache_service.UpdateCachedContentRequest, Sequence[Tuple[str, Union[str, bytes]]], ]: """Pre-rpc interceptor for update_cached_content Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_update_cached_content( self, response: gag_cached_content.CachedContent ) -> gag_cached_content.CachedContent: """Post-rpc interceptor for update_cached_content Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response def pre_get_operation( self, request: operations_pb2.GetOperationRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ operations_pb2.GetOperationRequest, Sequence[Tuple[str, Union[str, bytes]]] ]: """Pre-rpc interceptor for get_operation Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_get_operation( self, response: operations_pb2.Operation ) -> operations_pb2.Operation: """Post-rpc interceptor for get_operation Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response def pre_list_operations( self, request: operations_pb2.ListOperationsRequest, metadata: Sequence[Tuple[str, Union[str, bytes]]], ) -> Tuple[ operations_pb2.ListOperationsRequest, Sequence[Tuple[str, Union[str, bytes]]] ]: """Pre-rpc interceptor for list_operations Override in a subclass to manipulate the request or metadata before they are sent to the CacheService server. """ return request, metadata def post_list_operations( self, response: operations_pb2.ListOperationsResponse ) -> operations_pb2.ListOperationsResponse: """Post-rpc interceptor for list_operations Override in a subclass to manipulate the response after it is returned by the CacheService server but before it is returned to user code. """ return response @dataclasses.dataclass class CacheServiceRestStub: _session: AuthorizedSession _host: str _interceptor: CacheServiceRestInterceptor class CacheServiceRestTransport(_BaseCacheServiceRestTransport): """REST backend synchronous transport for CacheService. API for managing cache of content (CachedContent resources) that can be used in GenerativeService requests. This way generate content requests can benefit from preprocessing work being done earlier, possibly lowering their computational cost. It is intended to be used with large contexts. This class defines the same methods as the primary client, so the primary client can load the underlying transport implementation and call it. It sends JSON representations of protocol buffers over HTTP/1.1 """ def __init__( self, *, host: str = "generativelanguage.googleapis.com", credentials: Optional[ga_credentials.Credentials] = None, credentials_file: Optional[str] = None, scopes: Optional[Sequence[str]] = None, client_cert_source_for_mtls: Optional[Callable[[], Tuple[bytes, bytes]]] = None, quota_project_id: Optional[str] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, url_scheme: str = "https", interceptor: Optional[CacheServiceRestInterceptor] = None, api_audience: Optional[str] = None, ) -> None: """Instantiate the transport. Args: host (Optional[str]): The hostname to connect to (default: 'generativelanguage.googleapis.com'). credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. credentials_file (Optional[str]): A file with credentials that can be loaded with :func:`google.auth.load_credentials_from_file`. This argument is ignored if ``channel`` is provided. scopes (Optional(Sequence[str])): A list of scopes. This argument is ignored if ``channel`` is provided. client_cert_source_for_mtls (Callable[[], Tuple[bytes, bytes]]): Client certificate to configure mutual TLS HTTP channel. It is ignored if ``channel`` is provided. quota_project_id (Optional[str]): An optional project to use for billing and quota. client_info (google.api_core.gapic_v1.client_info.ClientInfo): The client info used to send a user-agent string along with API requests. If ``None``, then default info will be used. Generally, you only need to set this if you are developing your own client library. always_use_jwt_access (Optional[bool]): Whether self signed JWT should be used for service account credentials. url_scheme: the protocol scheme for the API endpoint. Normally "https", but for testing or local servers, "http" can be specified. """ # Run the base constructor # TODO(yon-mg): resolve other ctor params i.e. scopes, quota, etc. # TODO: When custom host (api_endpoint) is set, `scopes` must *also* be set on the # credentials object super().__init__( host=host, credentials=credentials, client_info=client_info, always_use_jwt_access=always_use_jwt_access, url_scheme=url_scheme, api_audience=api_audience, ) self._session = AuthorizedSession( self._credentials, default_host=self.DEFAULT_HOST ) if client_cert_source_for_mtls: self._session.configure_mtls_channel(client_cert_source_for_mtls) self._interceptor = interceptor or CacheServiceRestInterceptor() self._prep_wrapped_messages(client_info) class _CreateCachedContent( _BaseCacheServiceRestTransport._BaseCreateCachedContent, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.CreateCachedContent") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), data=body, ) return response def __call__( self, request: cache_service.CreateCachedContentRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> gag_cached_content.CachedContent: r"""Call the create cached content method over HTTP. Args: request (~.cache_service.CreateCachedContentRequest): The request object. Request to create CachedContent. 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`. Returns: ~.gag_cached_content.CachedContent: Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for. """ http_options = ( _BaseCacheServiceRestTransport._BaseCreateCachedContent._get_http_options() ) request, metadata = self._interceptor.pre_create_cached_content( request, metadata ) transcoded_request = _BaseCacheServiceRestTransport._BaseCreateCachedContent._get_transcoded_request( http_options, request ) body = _BaseCacheServiceRestTransport._BaseCreateCachedContent._get_request_body_json( transcoded_request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseCreateCachedContent._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = type(request).to_json(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.CreateCachedContent", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "CreateCachedContent", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._CreateCachedContent._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, body, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) # Return the response resp = gag_cached_content.CachedContent() pb_resp = gag_cached_content.CachedContent.pb(resp) json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) resp = self._interceptor.post_create_cached_content(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = gag_cached_content.CachedContent.to_json( response ) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceClient.create_cached_content", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "CreateCachedContent", "metadata": http_response["headers"], "httpResponse": http_response, }, ) return resp class _DeleteCachedContent( _BaseCacheServiceRestTransport._BaseDeleteCachedContent, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.DeleteCachedContent") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), ) return response def __call__( self, request: cache_service.DeleteCachedContentRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ): r"""Call the delete cached content method over HTTP. Args: request (~.cache_service.DeleteCachedContentRequest): The request object. Request to delete CachedContent. 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`. """ http_options = ( _BaseCacheServiceRestTransport._BaseDeleteCachedContent._get_http_options() ) request, metadata = self._interceptor.pre_delete_cached_content( request, metadata ) transcoded_request = _BaseCacheServiceRestTransport._BaseDeleteCachedContent._get_transcoded_request( http_options, request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseDeleteCachedContent._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = json_format.MessageToJson(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.DeleteCachedContent", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "DeleteCachedContent", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._DeleteCachedContent._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) class _GetCachedContent( _BaseCacheServiceRestTransport._BaseGetCachedContent, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.GetCachedContent") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), ) return response def __call__( self, request: cache_service.GetCachedContentRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> cached_content.CachedContent: r"""Call the get cached content method over HTTP. Args: request (~.cache_service.GetCachedContentRequest): The request object. Request to read CachedContent. 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`. Returns: ~.cached_content.CachedContent: Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for. """ http_options = ( _BaseCacheServiceRestTransport._BaseGetCachedContent._get_http_options() ) request, metadata = self._interceptor.pre_get_cached_content( request, metadata ) transcoded_request = _BaseCacheServiceRestTransport._BaseGetCachedContent._get_transcoded_request( http_options, request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseGetCachedContent._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = type(request).to_json(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.GetCachedContent", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "GetCachedContent", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._GetCachedContent._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) # Return the response resp = cached_content.CachedContent() pb_resp = cached_content.CachedContent.pb(resp) json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) resp = self._interceptor.post_get_cached_content(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = cached_content.CachedContent.to_json(response) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceClient.get_cached_content", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "GetCachedContent", "metadata": http_response["headers"], "httpResponse": http_response, }, ) return resp class _ListCachedContents( _BaseCacheServiceRestTransport._BaseListCachedContents, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.ListCachedContents") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), ) return response def __call__( self, request: cache_service.ListCachedContentsRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> cache_service.ListCachedContentsResponse: r"""Call the list cached contents method over HTTP. Args: request (~.cache_service.ListCachedContentsRequest): The request object. Request to list CachedContents. 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`. Returns: ~.cache_service.ListCachedContentsResponse: Response with CachedContents list. """ http_options = ( _BaseCacheServiceRestTransport._BaseListCachedContents._get_http_options() ) request, metadata = self._interceptor.pre_list_cached_contents( request, metadata ) transcoded_request = _BaseCacheServiceRestTransport._BaseListCachedContents._get_transcoded_request( http_options, request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseListCachedContents._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = type(request).to_json(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.ListCachedContents", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "ListCachedContents", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._ListCachedContents._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) # Return the response resp = cache_service.ListCachedContentsResponse() pb_resp = cache_service.ListCachedContentsResponse.pb(resp) json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) resp = self._interceptor.post_list_cached_contents(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = cache_service.ListCachedContentsResponse.to_json( response ) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceClient.list_cached_contents", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "ListCachedContents", "metadata": http_response["headers"], "httpResponse": http_response, }, ) return resp class _UpdateCachedContent( _BaseCacheServiceRestTransport._BaseUpdateCachedContent, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.UpdateCachedContent") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), data=body, ) return response def __call__( self, request: cache_service.UpdateCachedContentRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> gag_cached_content.CachedContent: r"""Call the update cached content method over HTTP. Args: request (~.cache_service.UpdateCachedContentRequest): The request object. Request to update CachedContent. 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`. Returns: ~.gag_cached_content.CachedContent: Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for. """ http_options = ( _BaseCacheServiceRestTransport._BaseUpdateCachedContent._get_http_options() ) request, metadata = self._interceptor.pre_update_cached_content( request, metadata ) transcoded_request = _BaseCacheServiceRestTransport._BaseUpdateCachedContent._get_transcoded_request( http_options, request ) body = _BaseCacheServiceRestTransport._BaseUpdateCachedContent._get_request_body_json( transcoded_request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseUpdateCachedContent._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = type(request).to_json(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.UpdateCachedContent", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "UpdateCachedContent", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._UpdateCachedContent._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, body, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) # Return the response resp = gag_cached_content.CachedContent() pb_resp = gag_cached_content.CachedContent.pb(resp) json_format.Parse(response.content, pb_resp, ignore_unknown_fields=True) resp = self._interceptor.post_update_cached_content(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = gag_cached_content.CachedContent.to_json( response ) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceClient.update_cached_content", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "UpdateCachedContent", "metadata": http_response["headers"], "httpResponse": http_response, }, ) return resp @property def create_cached_content( self, ) -> Callable[ [cache_service.CreateCachedContentRequest], gag_cached_content.CachedContent ]: # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. # In C++ this would require a dynamic_cast return self._CreateCachedContent(self._session, self._host, self._interceptor) # type: ignore @property def delete_cached_content( self, ) -> Callable[[cache_service.DeleteCachedContentRequest], empty_pb2.Empty]: # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. # In C++ this would require a dynamic_cast return self._DeleteCachedContent(self._session, self._host, self._interceptor) # type: ignore @property def get_cached_content( self, ) -> Callable[ [cache_service.GetCachedContentRequest], cached_content.CachedContent ]: # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. # In C++ this would require a dynamic_cast return self._GetCachedContent(self._session, self._host, self._interceptor) # type: ignore @property def list_cached_contents( self, ) -> Callable[ [cache_service.ListCachedContentsRequest], cache_service.ListCachedContentsResponse, ]: # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. # In C++ this would require a dynamic_cast return self._ListCachedContents(self._session, self._host, self._interceptor) # type: ignore @property def update_cached_content( self, ) -> Callable[ [cache_service.UpdateCachedContentRequest], gag_cached_content.CachedContent ]: # The return type is fine, but mypy isn't sophisticated enough to determine what's going on here. # In C++ this would require a dynamic_cast return self._UpdateCachedContent(self._session, self._host, self._interceptor) # type: ignore @property def get_operation(self): return self._GetOperation(self._session, self._host, self._interceptor) # type: ignore class _GetOperation( _BaseCacheServiceRestTransport._BaseGetOperation, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.GetOperation") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), ) return response def __call__( self, request: operations_pb2.GetOperationRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> operations_pb2.Operation: r"""Call the get operation method over HTTP. Args: request (operations_pb2.GetOperationRequest): The request object for GetOperation method. 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`. Returns: operations_pb2.Operation: Response from GetOperation method. """ http_options = ( _BaseCacheServiceRestTransport._BaseGetOperation._get_http_options() ) request, metadata = self._interceptor.pre_get_operation(request, metadata) transcoded_request = _BaseCacheServiceRestTransport._BaseGetOperation._get_transcoded_request( http_options, request ) # Jsonify the query params query_params = ( _BaseCacheServiceRestTransport._BaseGetOperation._get_query_params_json( transcoded_request ) ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = json_format.MessageToJson(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.GetOperation", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "GetOperation", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._GetOperation._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) content = response.content.decode("utf-8") resp = operations_pb2.Operation() resp = json_format.Parse(content, resp) resp = self._interceptor.post_get_operation(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = json_format.MessageToJson(resp) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceAsyncClient.GetOperation", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "GetOperation", "httpResponse": http_response, "metadata": http_response["headers"], }, ) return resp @property def list_operations(self): return self._ListOperations(self._session, self._host, self._interceptor) # type: ignore class _ListOperations( _BaseCacheServiceRestTransport._BaseListOperations, CacheServiceRestStub ): def __hash__(self): return hash("CacheServiceRestTransport.ListOperations") @staticmethod def _get_response( host, metadata, query_params, session, timeout, transcoded_request, body=None, ): uri = transcoded_request["uri"] method = transcoded_request["method"] headers = dict(metadata) headers["Content-Type"] = "application/json" response = getattr(session, method)( "{host}{uri}".format(host=host, uri=uri), timeout=timeout, headers=headers, params=rest_helpers.flatten_query_params(query_params, strict=True), ) return response def __call__( self, request: operations_pb2.ListOperationsRequest, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, Union[str, bytes]]] = (), ) -> operations_pb2.ListOperationsResponse: r"""Call the list operations method over HTTP. Args: request (operations_pb2.ListOperationsRequest): The request object for ListOperations method. 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`. Returns: operations_pb2.ListOperationsResponse: Response from ListOperations method. """ http_options = ( _BaseCacheServiceRestTransport._BaseListOperations._get_http_options() ) request, metadata = self._interceptor.pre_list_operations(request, metadata) transcoded_request = _BaseCacheServiceRestTransport._BaseListOperations._get_transcoded_request( http_options, request ) # Jsonify the query params query_params = _BaseCacheServiceRestTransport._BaseListOperations._get_query_params_json( transcoded_request ) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER request_url = "{host}{uri}".format( host=self._host, uri=transcoded_request["uri"] ) method = transcoded_request["method"] try: request_payload = json_format.MessageToJson(request) except: request_payload = None http_request = { "payload": request_payload, "requestMethod": method, "requestUrl": request_url, "headers": dict(metadata), } _LOGGER.debug( f"Sending request for google.ai.generativelanguage_v1beta.CacheServiceClient.ListOperations", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "ListOperations", "httpRequest": http_request, "metadata": http_request["headers"], }, ) # Send the request response = CacheServiceRestTransport._ListOperations._get_response( self._host, metadata, query_params, self._session, timeout, transcoded_request, ) # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception # subclass. if response.status_code >= 400: raise core_exceptions.from_http_response(response) content = response.content.decode("utf-8") resp = operations_pb2.ListOperationsResponse() resp = json_format.Parse(content, resp) resp = self._interceptor.post_list_operations(resp) if CLIENT_LOGGING_SUPPORTED and _LOGGER.isEnabledFor( logging.DEBUG ): # pragma: NO COVER try: response_payload = json_format.MessageToJson(resp) except: response_payload = None http_response = { "payload": response_payload, "headers": dict(response.headers), "status": response.status_code, } _LOGGER.debug( "Received response for google.ai.generativelanguage_v1beta.CacheServiceAsyncClient.ListOperations", extra={ "serviceName": "google.ai.generativelanguage.v1beta.CacheService", "rpcName": "ListOperations", "httpResponse": http_response, "metadata": http_response["headers"], }, ) return resp @property def kind(self) -> str: return "rest" def close(self): self._session.close() __all__ = ("CacheServiceRestTransport",)