def get_agent( self, request: agent.GetAgentRequest = None, *, parent: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> agent.Agent: r"""Retrieves the specified agent. Args: request (:class:`~.agent.GetAgentRequest`): The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.v2.Agents.GetAgent]. parent (:class:`str`): Required. The project that the agent to fetch is associated with. Format: ``projects/<Project ID>``. This corresponds to the ``parent`` 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: ~.agent.Agent: A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. For more information about agents, see the `Agent guide <https://cloud.google.com/dialogflow/docs/agents-overview>`__. """ # 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]) 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 agent.GetAgentRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, agent.GetAgentRequest): request = agent.GetAgentRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.get_agent] # 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
async def get_agent( self, request: Union[agent.GetAgentRequest, dict] = None, *, parent: str = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> agent.Agent: r"""Retrieves the specified agent. .. code-block:: python from google.cloud import dialogflow_v2 async def sample_get_agent(): # Create a client client = dialogflow_v2.AgentsAsyncClient() # Initialize request argument(s) request = dialogflow_v2.GetAgentRequest( parent="parent_value", ) # Make the request response = await client.get_agent(request=request) # Handle the response print(response) Args: request (Union[google.cloud.dialogflow_v2.types.GetAgentRequest, dict]): The request object. The request message for [Agents.GetAgent][google.cloud.dialogflow.v2.Agents.GetAgent]. parent (:class:`str`): Required. The project that the agent to fetch is associated with. Format: ``projects/<Project ID>``. This corresponds to the ``parent`` 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.Agent: A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand. You design and build a Dialogflow agent to handle the types of conversations required for your system. For more information about agents, see the [Agent guide](\ https://cloud.google.com/dialogflow/docs/agents-overview). """ # 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]) 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 = agent.GetAgentRequest(request) # If we have keyword arguments corresponding to fields on the # request, apply these. if parent is not None: request.parent = parent # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.get_agent, 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