🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

google/cloud/retail_v2beta/__init__.py

@@ -126,6 +126,7 @@
     CreateModelMetadata,
     CreateModelRequest,
     DeleteModelRequest,
+    GetModelRequest,
     ListModelsRequest,
     ListModelsResponse,
     PauseModelRequest,
@@ -166,7 +167,7 @@
     PurgeUserEventsRequest,
     PurgeUserEventsResponse,
 )
-from .types.search_service import SearchRequest, SearchResponse
+from .types.search_service import ExperimentInfo, SearchRequest, SearchResponse
 from .types.serving_config import ServingConfig
 from .types.serving_config_service import (
     AddControlRequest,
@@ -241,6 +242,7 @@
     "DeleteModelRequest",
     "DeleteProductRequest",
     "DeleteServingConfigRequest",
+    "ExperimentInfo",
     "ExportErrorsConfig",
     "ExportMetadata",
     "ExportProductsResponse",
@@ -253,6 +255,7 @@
     "GetControlRequest",
     "GetDefaultBranchRequest",
     "GetDefaultBranchResponse",
+    "GetModelRequest",
     "GetProductRequest",
     "GetServingConfigRequest",
     "Image",

google/cloud/retail_v2beta/gapic_metadata.json

@@ -362,6 +362,11 @@
                 "delete_model"
               ]
             },
+            "GetModel": {
+              "methods": [
+                "get_model"
+              ]
+            },
             "ListModels": {
               "methods": [
                 "list_models"
@@ -402,6 +407,11 @@
                 "delete_model"
               ]
             },
+            "GetModel": {
+              "methods": [
+                "get_model"
+              ]
+            },
             "ListModels": {
               "methods": [
                 "list_models"
@@ -442,6 +452,11 @@
                 "delete_model"
               ]
             },
+            "GetModel": {
+              "methods": [
+                "get_model"
+              ]
+            },
             "ListModels": {
               "methods": [
                 "list_models"

google/cloud/retail_v2beta/services/completion_service/async_client.py

@@ -55,7 +55,7 @@
 
 
 class CompletionServiceAsyncClient:
-    """Auto-completion service for retail.
+    """Autocomplete service for retail.
     This feature is only available for users who have Retail Search
     enabled. Enable Retail Search on Cloud Console before using this
     feature.
@@ -265,7 +265,7 @@ async def sample_complete_query():
 
         Args:
             request (Optional[Union[google.cloud.retail_v2beta.types.CompleteQueryRequest, dict]]):
-                The request object. Auto-complete parameters.
+                The request object. Autocomplete parameters.
             retry (google.api_core.retry.Retry): Designation of what errors, if any,
                 should be retried.
             timeout (float): The timeout for this request.
@@ -274,7 +274,7 @@ async def sample_complete_query():
 
         Returns:
             google.cloud.retail_v2beta.types.CompleteQueryResponse:
-                Response of the auto-complete query.
+                Response of the autocomplete query.
         """
         # Create or coerce a protobuf request object.
         request = completion_service.CompleteQueryRequest(request)

google/cloud/retail_v2beta/services/completion_service/client.py

@@ -97,7 +97,7 @@ def get_transport_class(
 
 
 class CompletionServiceClient(metaclass=CompletionServiceClientMeta):
-    """Auto-completion service for retail.
+    """Autocomplete service for retail.
     This feature is only available for users who have Retail Search
     enabled. Enable Retail Search on Cloud Console before using this
     feature.
@@ -494,7 +494,7 @@ def sample_complete_query():
 
         Args:
             request (Union[google.cloud.retail_v2beta.types.CompleteQueryRequest, dict]):
-                The request object. Auto-complete parameters.
+                The request object. Autocomplete parameters.
             retry (google.api_core.retry.Retry): Designation of what errors, if any,
                 should be retried.
             timeout (float): The timeout for this request.
@@ -503,7 +503,7 @@ def sample_complete_query():
 
         Returns:
             google.cloud.retail_v2beta.types.CompleteQueryResponse:
-                Response of the auto-complete query.
+                Response of the autocomplete query.
         """
         # Create or coerce a protobuf request object.
         # Minor optimization to avoid making a copy if the user passes

google/cloud/retail_v2beta/services/completion_service/transports/grpc.py

@@ -32,7 +32,7 @@
 class CompletionServiceGrpcTransport(CompletionServiceTransport):
     """gRPC backend transport for CompletionService.
 
-    Auto-completion service for retail.
+    Autocomplete service for retail.
     This feature is only available for users who have Retail Search
     enabled. Enable Retail Search on Cloud Console before using this
     feature.

google/cloud/retail_v2beta/services/completion_service/transports/grpc_asyncio.py

@@ -33,7 +33,7 @@
 class CompletionServiceGrpcAsyncIOTransport(CompletionServiceTransport):
     """gRPC AsyncIO backend transport for CompletionService.
 
-    Auto-completion service for retail.
+    Autocomplete service for retail.
     This feature is only available for users who have Retail Search
     enabled. Enable Retail Search on Cloud Console before using this
     feature.

google/cloud/retail_v2beta/services/completion_service/transports/rest.py

@@ -198,7 +198,7 @@ class CompletionServiceRestStub:
 class CompletionServiceRestTransport(CompletionServiceTransport):
     """REST backend transport for CompletionService.
 
-    Auto-completion service for retail.
+    Autocomplete service for retail.
     This feature is only available for users who have Retail Search
     enabled. Enable Retail Search on Cloud Console before using this
     feature.
@@ -376,7 +376,7 @@ def __call__(
 
             Args:
                 request (~.completion_service.CompleteQueryRequest):
-                    The request object. Auto-complete parameters.
+                    The request object. Autocomplete parameters.
                 retry (google.api_core.retry.Retry): Designation of what errors, if any,
                     should be retried.
                 timeout (float): The timeout for this request.
@@ -385,7 +385,7 @@ def __call__(
 
             Returns:
                 ~.completion_service.CompleteQueryResponse:
-                    Response of the auto-complete query.
+                    Response of the autocomplete query.
             """
 
             http_options: List[Dict[str, str]] = [

google/cloud/retail_v2beta/services/model_service/async_client.py

@@ -370,6 +370,113 @@ async def sample_create_model():
         # Done; return the response.
         return response
 
+    async def get_model(
+        self,
+        request: Optional[Union[model_service.GetModelRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model.Model:
+        r"""Gets a model.
+
+        .. 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 retail_v2beta
+
+            async def sample_get_model():
+                # Create a client
+                client = retail_v2beta.ModelServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = retail_v2beta.GetModelRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_model(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.retail_v2beta.types.GetModelRequest, dict]]):
+                The request object. Request for getting a model.
+            name (:class:`str`):
+                Required. The resource name of the
+                [Model][google.cloud.retail.v2beta.Model] to get.
+                Format:
+                ``projects/{project_number}/locations/{location_id}/catalogs/{catalog}/models/{model_id}``
+
+                This corresponds to the ``name`` 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.retail_v2beta.types.Model:
+                Metadata that describes the training and serving parameters of a
+                   [Model][google.cloud.retail.v2beta.Model]. A
+                   [Model][google.cloud.retail.v2beta.Model] can be
+                   associated with a
+                   [ServingConfig][google.cloud.retail.v2beta.ServingConfig]
+                   and then queried through the Predict API.
+
+        """
+        # 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([name])
+        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 = model_service.GetModelRequest(request)
+
+        # If we have keyword arguments corresponding to fields on the
+        # request, apply these.
+        if name is not None:
+            request.name = name
+
+        # 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_model,
+            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((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def pause_model(
         self,
         request: Optional[Union[model_service.PauseModelRequest, dict]] = None,

google/cloud/retail_v2beta/services/model_service/client.py

@@ -623,6 +623,113 @@ def sample_create_model():
         # Done; return the response.
         return response
 
+    def get_model(
+        self,
+        request: Optional[Union[model_service.GetModelRequest, dict]] = None,
+        *,
+        name: Optional[str] = None,
+        retry: OptionalRetry = gapic_v1.method.DEFAULT,
+        timeout: Union[float, object] = gapic_v1.method.DEFAULT,
+        metadata: Sequence[Tuple[str, str]] = (),
+    ) -> model.Model:
+        r"""Gets a model.
+
+        .. 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 retail_v2beta
+
+            def sample_get_model():
+                # Create a client
+                client = retail_v2beta.ModelServiceClient()
+
+                # Initialize request argument(s)
+                request = retail_v2beta.GetModelRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_model(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.retail_v2beta.types.GetModelRequest, dict]):
+                The request object. Request for getting a model.
+            name (str):
+                Required. The resource name of the
+                [Model][google.cloud.retail.v2beta.Model] to get.
+                Format:
+                ``projects/{project_number}/locations/{location_id}/catalogs/{catalog}/models/{model_id}``
+
+                This corresponds to the ``name`` 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.retail_v2beta.types.Model:
+                Metadata that describes the training and serving parameters of a
+                   [Model][google.cloud.retail.v2beta.Model]. A
+                   [Model][google.cloud.retail.v2beta.Model] can be
+                   associated with a
+                   [ServingConfig][google.cloud.retail.v2beta.ServingConfig]
+                   and then queried through the Predict API.
+
+        """
+        # 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([name])
+        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 model_service.GetModelRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, model_service.GetModelRequest):
+            request = model_service.GetModelRequest(request)
+            # If we have keyword arguments corresponding to fields on the
+            # request, apply these.
+            if name is not None:
+                request.name = name
+
+        # Wrap the RPC method; this adds retry and timeout information,
+        # and friendly error handling.
+        rpc = self._transport._wrapped_methods[self._transport.get_model]
+
+        # Certain fields should be provided within the metadata header;
+        # add these here.
+        metadata = tuple(metadata) + (
+            gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     def pause_model(
         self,
         request: Optional[Union[model_service.PauseModelRequest, dict]] = None,