async def update_session_entity_type( self, request: gcd_session_entity_type.UpdateSessionEntityTypeRequest = None, *, session_entity_type: gcd_session_entity_type.SessionEntityType = None, update_mask: field_mask.FieldMask = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gcd_session_entity_type.SessionEntityType: r"""Updates the specified session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. Args: request (:class:`google.cloud.dialogflow_v2.types.UpdateSessionEntityTypeRequest`): The request object. The request message for [SessionEntityTypes.UpdateSessionEntityType][google.cloud.dialogflow.v2.SessionEntityTypes.UpdateSessionEntityType]. session_entity_type (:class:`google.cloud.dialogflow_v2.types.SessionEntityType`): Required. The session entity type to update. This corresponds to the ``session_entity_type`` field on the ``request`` instance; if ``request`` is provided, this should not be set. update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): Optional. The mask to control which fields get updated. This corresponds to the ``update_mask`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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. Returns: google.cloud.dialogflow_v2.types.SessionEntityType: A session represents a conversation between a Dialogflow agent and an end-user. You can create special entities, called session entities, during a session. Session entities can extend or replace custom entity types and only exist during the session that they were created for. All session data, including session entities, is stored by Dialogflow for 20 minutes. For more information, see the [session entity guide](\ https://cloud.google.com/dialogflow/docs/entities-session). """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([session_entity_type, update_mask]) if request is not None and has_flattened_params: raise ValueError("If the `request` argument is set, then none of " "the individual field arguments should be set.") request = gcd_session_entity_type.UpdateSessionEntityTypeRequest( request) # If we have keyword arguments corresponding to fields on the # request, apply these. if session_entity_type is not None: request.session_entity_type = session_entity_type if update_mask is not None: request.update_mask = update_mask # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.update_session_entity_type, default_timeout=None, client_info=DEFAULT_CLIENT_INFO, ) # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata( (("session_entity_type.name", request.session_entity_type.name), )), ) # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
def update_session_entity_type( self, request: Union[gcd_session_entity_type.UpdateSessionEntityTypeRequest, dict] = None, *, session_entity_type: gcd_session_entity_type.SessionEntityType = None, update_mask: field_mask_pb2.FieldMask = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gcd_session_entity_type.SessionEntityType: r"""Updates the specified session entity type. This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration. .. code-block:: python from google.cloud import dialogflow_v2 def sample_update_session_entity_type(): # Create a client client = dialogflow_v2.SessionEntityTypesClient() # Initialize request argument(s) session_entity_type = dialogflow_v2.SessionEntityType() session_entity_type.name = "name_value" session_entity_type.entity_override_mode = "ENTITY_OVERRIDE_MODE_SUPPLEMENT" session_entity_type.entities.value = "value_value" session_entity_type.entities.synonyms = ['synonyms_value_1', 'synonyms_value_2'] request = dialogflow_v2.UpdateSessionEntityTypeRequest( session_entity_type=session_entity_type, ) # Make the request response = client.update_session_entity_type(request=request) # Handle the response print(response) Args: request (Union[google.cloud.dialogflow_v2.types.UpdateSessionEntityTypeRequest, dict]): The request object. The request message for [SessionEntityTypes.UpdateSessionEntityType][google.cloud.dialogflow.v2.SessionEntityTypes.UpdateSessionEntityType]. session_entity_type (google.cloud.dialogflow_v2.types.SessionEntityType): Required. The session entity type to update. This corresponds to the ``session_entity_type`` field on the ``request`` instance; if ``request`` is provided, this should not be set. update_mask (google.protobuf.field_mask_pb2.FieldMask): Optional. The mask to control which fields get updated. This corresponds to the ``update_mask`` field on the ``request`` instance; if ``request`` is provided, this should not be set. 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. Returns: google.cloud.dialogflow_v2.types.SessionEntityType: A session represents a conversation between a Dialogflow agent and an end-user. You can create special entities, called session entities, during a session. Session entities can extend or replace custom entity types and only exist during the session that they were created for. All session data, including session entities, is stored by Dialogflow for 20 minutes. For more information, see the [session entity guide](\ https://cloud.google.com/dialogflow/docs/entities-session). """ # Create or coerce a protobuf request object. # Quick check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. has_flattened_params = any([session_entity_type, update_mask]) if request is not None and has_flattened_params: raise ValueError("If the `request` argument is set, then none of " "the individual field arguments should be set.") # Minor optimization to avoid making a copy if the user passes # in a gcd_session_entity_type.UpdateSessionEntityTypeRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance( request, gcd_session_entity_type.UpdateSessionEntityTypeRequest): request = gcd_session_entity_type.UpdateSessionEntityTypeRequest( request) # If we have keyword arguments corresponding to fields on the # request, apply these. if session_entity_type is not None: request.session_entity_type = session_entity_type if update_mask is not None: request.update_mask = update_mask # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.update_session_entity_type] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata( (("session_entity_type.name", request.session_entity_type.name), )), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response