feat: added speech endpointing setting

google/cloud/dialogflow_v2beta1/__init__.py

@@ -105,6 +105,9 @@
     ListConversationsResponse,
     ListMessagesRequest,
     ListMessagesResponse,
+    SearchKnowledgeAnswer,
+    SearchKnowledgeRequest,
+    SearchKnowledgeResponse,
     SuggestConversationSummaryRequest,
     SuggestConversationSummaryResponse,
 )
@@ -467,6 +470,9 @@
     "RestoreAgentRequest",
     "SearchAgentsRequest",
     "SearchAgentsResponse",
+    "SearchKnowledgeAnswer",
+    "SearchKnowledgeRequest",
+    "SearchKnowledgeResponse",
     "Sentiment",
     "SentimentAnalysisRequestConfig",
     "SentimentAnalysisResult",

google/cloud/dialogflow_v2beta1/gapic_metadata.json

@@ -496,6 +496,11 @@
                 "list_messages"
               ]
             },
+            "SearchKnowledge": {
+              "methods": [
+                "search_knowledge"
+              ]
+            },
             "SuggestConversationSummary": {
               "methods": [
                 "suggest_conversation_summary"
@@ -541,6 +546,11 @@
                 "list_messages"
               ]
             },
+            "SearchKnowledge": {
+              "methods": [
+                "search_knowledge"
+              ]
+            },
             "SuggestConversationSummary": {
               "methods": [
                 "suggest_conversation_summary"
@@ -586,6 +596,11 @@
                 "list_messages"
               ]
             },
+            "SearchKnowledge": {
+              "methods": [
+                "search_knowledge"
+              ]
+            },
             "SuggestConversationSummary": {
               "methods": [
                 "suggest_conversation_summary"

google/cloud/dialogflow_v2beta1/services/conversation_profiles/async_client.py

@@ -1040,7 +1040,7 @@ async def sample_clear_suggestion_feature_config():
                 request = dialogflow_v2beta1.ClearSuggestionFeatureConfigRequest(
                     conversation_profile="conversation_profile_value",
                     participant_role="END_USER",
-                    suggestion_feature_type="CONVERSATION_SUMMARIZATION",
+                    suggestion_feature_type="KNOWLEDGE_SEARCH",
                 )
 
                 # Make the request

google/cloud/dialogflow_v2beta1/services/conversation_profiles/client.py

@@ -1364,7 +1364,7 @@ def sample_clear_suggestion_feature_config():
                 request = dialogflow_v2beta1.ClearSuggestionFeatureConfigRequest(
                     conversation_profile="conversation_profile_value",
                     participant_role="END_USER",
-                    suggestion_feature_type="CONVERSATION_SUMMARIZATION",
+                    suggestion_feature_type="KNOWLEDGE_SEARCH",
                 )
 
                 # Make the request

google/cloud/dialogflow_v2beta1/services/conversations/async_client.py

@@ -1165,6 +1165,87 @@ async def sample_generate_stateless_summary():
         # Done; return the response.
         return response
 
+    async def search_knowledge(
+        self,
+        request: Optional[Union[conversation.SearchKnowledgeRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> conversation.SearchKnowledgeResponse:
+        r"""Get answers for the given query based on knowledge
+        documents.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dialogflow_v2beta1
+
+            async def sample_search_knowledge():
+                # Create a client
+                client = dialogflow_v2beta1.ConversationsAsyncClient()
+
+                # Initialize request argument(s)
+                request = dialogflow_v2beta1.SearchKnowledgeRequest(
+                    conversation_profile="conversation_profile_value",
+                )
+
+                # Make the request
+                response = await client.search_knowledge(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.dialogflow_v2beta1.types.SearchKnowledgeRequest, dict]]):
+                The request object. The request message for
+                [Conversations.SearchKnowledge][google.cloud.dialogflow.v2beta1.Conversations.SearchKnowledge].
+            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_v2beta1.types.SearchKnowledgeResponse:
+                The response message for
+                   [Conversations.SearchKnowledge][google.cloud.dialogflow.v2beta1.Conversations.SearchKnowledge].
+
+        """
+        # Create or coerce a protobuf request object.
+        request = conversation.SearchKnowledgeRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = gapic_v1.method_async.wrap_method(
+            self._client._transport.search_knowledge,
+            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
+
     async def list_operations(
         self,
         request: Optional[operations_pb2.ListOperationsRequest] = None,

google/cloud/dialogflow_v2beta1/services/conversations/client.py

@@ -1527,6 +1527,88 @@ def sample_generate_stateless_summary():
         # Done; return the response.
         return response
 
+    def search_knowledge(
+        self,
+        request: Optional[Union[conversation.SearchKnowledgeRequest, dict]] = None,
+        *,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> conversation.SearchKnowledgeResponse:
+        r"""Get answers for the given query based on knowledge
+        documents.
+
+        .. code-block:: python
+
+            # This snippet has been automatically generated and should be regarded as a
+            # code template only.
+            # It will require modifications to work:
+            # - It may require correct/in-range values for request initialization.
+            # - It may require specifying regional endpoints when creating the service
+            #   client as shown in:
+            #   https://googleapis.dev/python/google-api-core/latest/client_options.html
+            from google.cloud import dialogflow_v2beta1
+
+            def sample_search_knowledge():
+                # Create a client
+                client = dialogflow_v2beta1.ConversationsClient()
+
+                # Initialize request argument(s)
+                request = dialogflow_v2beta1.SearchKnowledgeRequest(
+                    conversation_profile="conversation_profile_value",
+                )
+
+                # Make the request
+                response = client.search_knowledge(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.dialogflow_v2beta1.types.SearchKnowledgeRequest, dict]):
+                The request object. The request message for
+                [Conversations.SearchKnowledge][google.cloud.dialogflow.v2beta1.Conversations.SearchKnowledge].
+            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_v2beta1.types.SearchKnowledgeResponse:
+                The response message for
+                   [Conversations.SearchKnowledge][google.cloud.dialogflow.v2beta1.Conversations.SearchKnowledge].
+
+        """
+        # Create or coerce a protobuf request object.
+        # Minor optimization to avoid making a copy if the user passes
+        # in a conversation.SearchKnowledgeRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, conversation.SearchKnowledgeRequest):
+            request = conversation.SearchKnowledgeRequest(request)
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.search_knowledge]
+
+        # 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
+
     def __enter__(self) -> "ConversationsClient":
         return self
 

google/cloud/dialogflow_v2beta1/services/conversations/transports/base.py

@@ -168,6 +168,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.search_knowledge: gapic_v1.method.wrap_method(
+                self.search_knowledge,
+                default_timeout=None,
+                client_info=client_info,
+            ),
         }
 
     def close(self):
@@ -266,6 +271,18 @@ def generate_stateless_summary(
     ]:
         raise NotImplementedError()
 
+    @property
+    def search_knowledge(
+        self,
+    ) -> Callable[
+        [conversation.SearchKnowledgeRequest],
+        Union[
+            conversation.SearchKnowledgeResponse,
+            Awaitable[conversation.SearchKnowledgeResponse],
+        ],
+    ]:
+        raise NotImplementedError()
+
     @property
     def list_operations(
         self,

google/cloud/dialogflow_v2beta1/services/conversations/transports/grpc.py

@@ -489,6 +489,35 @@ def generate_stateless_summary(
             )
         return self._stubs["generate_stateless_summary"]
 
+    @property
+    def search_knowledge(
+        self,
+    ) -> Callable[
+        [conversation.SearchKnowledgeRequest], conversation.SearchKnowledgeResponse
+    ]:
+        r"""Return a callable for the search knowledge method over gRPC.
+
+        Get answers for the given query based on knowledge
+        documents.
+
+        Returns:
+            Callable[[~.SearchKnowledgeRequest],
+                    ~.SearchKnowledgeResponse]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "search_knowledge" not in self._stubs:
+            self._stubs["search_knowledge"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dialogflow.v2beta1.Conversations/SearchKnowledge",
+                request_serializer=conversation.SearchKnowledgeRequest.serialize,
+                response_deserializer=conversation.SearchKnowledgeResponse.deserialize,
+            )
+        return self._stubs["search_knowledge"]
+
     def close(self):
         self.grpc_channel.close()
 

google/cloud/dialogflow_v2beta1/services/conversations/transports/grpc_asyncio.py

@@ -496,6 +496,36 @@ def generate_stateless_summary(
             )
         return self._stubs["generate_stateless_summary"]
 
+    @property
+    def search_knowledge(
+        self,
+    ) -> Callable[
+        [conversation.SearchKnowledgeRequest],
+        Awaitable[conversation.SearchKnowledgeResponse],
+    ]:
+        r"""Return a callable for the search knowledge method over gRPC.
+
+        Get answers for the given query based on knowledge
+        documents.
+
+        Returns:
+            Callable[[~.SearchKnowledgeRequest],
+                    Awaitable[~.SearchKnowledgeResponse]]:
+                A function that, when called, will call the underlying RPC
+                on the server.
+        """
+        # Generate a "stub function" on-the-fly which will actually make
+        # the request.
+        # gRPC handles serialization and deserialization, so we just need
+        # to pass in the functions for each.
+        if "search_knowledge" not in self._stubs:
+            self._stubs["search_knowledge"] = self.grpc_channel.unary_unary(
+                "/google.cloud.dialogflow.v2beta1.Conversations/SearchKnowledge",
+                request_serializer=conversation.SearchKnowledgeRequest.serialize,
+                response_deserializer=conversation.SearchKnowledgeResponse.deserialize,
+            )
+        return self._stubs["search_knowledge"]
+
     def close(self):
         return self.grpc_channel.close()