async def create_knowledge_base( self, request: gcd_knowledge_base.CreateKnowledgeBaseRequest = None, *, parent: str = None, knowledge_base: gcd_knowledge_base.KnowledgeBase = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gcd_knowledge_base.KnowledgeBase: r"""Creates a knowledge base. Args: request (:class:`google.cloud.dialogflow_v2.types.CreateKnowledgeBaseRequest`): The request object. Request message for [KnowledgeBases.CreateKnowledgeBase][google.cloud.dialogflow.v2.KnowledgeBases.CreateKnowledgeBase]. parent (:class:`str`): Required. The project to create a knowledge base for. Format: ``projects/<Project ID>/locations/<Location ID>``. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. knowledge_base (:class:`google.cloud.dialogflow_v2.types.KnowledgeBase`): Required. The knowledge base to create. This corresponds to the ``knowledge_base`` 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.KnowledgeBase: A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases. """ # 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([parent, knowledge_base]) 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_knowledge_base.CreateKnowledgeBaseRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if knowledge_base is not None: request.knowledge_base = knowledge_base # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.create_knowledge_base, 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( (("parent", request.parent), )), ) # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
def create_knowledge_base( self, request: Union[gcd_knowledge_base.CreateKnowledgeBaseRequest, dict] = None, *, parent: str = None, knowledge_base: gcd_knowledge_base.KnowledgeBase = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> gcd_knowledge_base.KnowledgeBase: r"""Creates a knowledge base. .. code-block:: python from google.cloud import dialogflow_v2 def sample_create_knowledge_base(): # Create a client client = dialogflow_v2.KnowledgeBasesClient() # Initialize request argument(s) knowledge_base = dialogflow_v2.KnowledgeBase() knowledge_base.display_name = "display_name_value" request = dialogflow_v2.CreateKnowledgeBaseRequest( parent="parent_value", knowledge_base=knowledge_base, ) # Make the request response = client.create_knowledge_base(request=request) # Handle the response print(response) Args: request (Union[google.cloud.dialogflow_v2.types.CreateKnowledgeBaseRequest, dict]): The request object. Request message for [KnowledgeBases.CreateKnowledgeBase][google.cloud.dialogflow.v2.KnowledgeBases.CreateKnowledgeBase]. parent (str): Required. The project to create a knowledge base for. Format: ``projects/<Project ID>/locations/<Location ID>``. This corresponds to the ``parent`` field on the ``request`` instance; if ``request`` is provided, this should not be set. knowledge_base (google.cloud.dialogflow_v2.types.KnowledgeBase): Required. The knowledge base to create. This corresponds to the ``knowledge_base`` 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.KnowledgeBase: A knowledge base represents a collection of knowledge documents that you provide to Dialogflow. Your knowledge documents contain information that may be useful during conversations with end-users. Some Dialogflow features use knowledge bases when looking for a response to an end-user input. For more information, see the [knowledge base guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases). Note: The projects.agent.knowledgeBases resource is deprecated; only use projects.knowledgeBases. """ # 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([parent, knowledge_base]) 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_knowledge_base.CreateKnowledgeBaseRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, gcd_knowledge_base.CreateKnowledgeBaseRequest): request = gcd_knowledge_base.CreateKnowledgeBaseRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent if knowledge_base is not None: request.knowledge_base = knowledge_base # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.create_knowledge_base] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response