feat: exposed GetProcessorType to v1beta3

google/cloud/documentai_v1beta3/__init__.py

@@ -58,6 +58,7 @@
     FetchProcessorTypesResponse,
     GetEvaluationRequest,
     GetProcessorRequest,
+    GetProcessorTypeRequest,
     GetProcessorVersionRequest,
     HumanReviewStatus,
     ListEvaluationsRequest,
@@ -129,6 +130,7 @@
     "GcsPrefix",
     "GetEvaluationRequest",
     "GetProcessorRequest",
+    "GetProcessorTypeRequest",
     "GetProcessorVersionRequest",
     "HumanReviewStatus",
     "ListEvaluationsRequest",

google/cloud/documentai_v1beta3/gapic_metadata.json

@@ -65,6 +65,11 @@
                 "get_processor"
               ]
             },
+            "GetProcessorType": {
+              "methods": [
+                "get_processor_type"
+              ]
+            },
             "GetProcessorVersion": {
               "methods": [
                 "get_processor_version"
@@ -175,6 +180,11 @@
                 "get_processor"
               ]
             },
+            "GetProcessorType": {
+              "methods": [
+                "get_processor_type"
+              ]
+            },
             "GetProcessorVersion": {
               "methods": [
                 "get_processor_version"

google/cloud/documentai_v1beta3/services/document_processor_service/async_client.py

@@ -42,6 +42,7 @@
 except AttributeError:  # pragma: NO COVER
     OptionalRetry = Union[retries.Retry, object]  # type: ignore
 
+from google.api import launch_stage_pb2  # type: ignore
 from google.api_core import operation  # type: ignore
 from google.api_core import operation_async  # type: ignore
 from google.cloud.location import locations_pb2  # type: ignore
@@ -753,6 +754,111 @@ async def sample_list_processor_types():
         # Done; return the response.
         return response
 
+    async def get_processor_type(
+        self,
+        request: Optional[
+            Union[document_processor_service.GetProcessorTypeRequest, 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]] = (),
+    ) -> processor_type.ProcessorType:
+        r"""Gets a processor type detail.
+
+        .. 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 documentai_v1beta3
+
+            async def sample_get_processor_type():
+                # Create a client
+                client = documentai_v1beta3.DocumentProcessorServiceAsyncClient()
+
+                # Initialize request argument(s)
+                request = documentai_v1beta3.GetProcessorTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = await client.get_processor_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Optional[Union[google.cloud.documentai_v1beta3.types.GetProcessorTypeRequest, dict]]):
+                The request object. Request message for get processor.
+            name (:class:`str`):
+                Required. The processor type resource
+                name.
+
+                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.documentai_v1beta3.types.ProcessorType:
+                A processor type is responsible for
+                performing a certain document
+                understanding task on a certain type of
+                document.
+
+        """
+        # 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 = document_processor_service.GetProcessorTypeRequest(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_processor_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((("name", request.name),)),
+        )
+
+        # Send the request.
+        response = await rpc(
+            request,
+            retry=retry,
+            timeout=timeout,
+            metadata=metadata,
+        )
+
+        # Done; return the response.
+        return response
+
     async def list_processors(
         self,
         request: Optional[

google/cloud/documentai_v1beta3/services/document_processor_service/client.py

@@ -46,6 +46,7 @@
 except AttributeError:  # pragma: NO COVER
     OptionalRetry = Union[retries.Retry, object]  # type: ignore
 
+from google.api import launch_stage_pb2  # type: ignore
 from google.api_core import operation  # type: ignore
 from google.api_core import operation_async  # type: ignore
 from google.cloud.location import locations_pb2  # type: ignore
@@ -1029,6 +1030,111 @@ def sample_list_processor_types():
         # Done; return the response.
         return response
 
+    def get_processor_type(
+        self,
+        request: Optional[
+            Union[document_processor_service.GetProcessorTypeRequest, 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]] = (),
+    ) -> processor_type.ProcessorType:
+        r"""Gets a processor type detail.
+
+        .. 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 documentai_v1beta3
+
+            def sample_get_processor_type():
+                # Create a client
+                client = documentai_v1beta3.DocumentProcessorServiceClient()
+
+                # Initialize request argument(s)
+                request = documentai_v1beta3.GetProcessorTypeRequest(
+                    name="name_value",
+                )
+
+                # Make the request
+                response = client.get_processor_type(request=request)
+
+                # Handle the response
+                print(response)
+
+        Args:
+            request (Union[google.cloud.documentai_v1beta3.types.GetProcessorTypeRequest, dict]):
+                The request object. Request message for get processor.
+            name (str):
+                Required. The processor type resource
+                name.
+
+                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.documentai_v1beta3.types.ProcessorType:
+                A processor type is responsible for
+                performing a certain document
+                understanding task on a certain type of
+                document.
+
+        """
+        # 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 document_processor_service.GetProcessorTypeRequest.
+        # There's no risk of modifying the input as we've already verified
+        # there are no flattened fields.
+        if not isinstance(request, document_processor_service.GetProcessorTypeRequest):
+            request = document_processor_service.GetProcessorTypeRequest(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_processor_type]
+
+        # 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 list_processors(
         self,
         request: Optional[

google/cloud/documentai_v1beta3/services/document_processor_service/transports/base.py

@@ -30,6 +30,7 @@
 from google.cloud.documentai_v1beta3.types import document_processor_service, evaluation
 from google.cloud.documentai_v1beta3.types import processor
 from google.cloud.documentai_v1beta3.types import processor as gcd_processor
+from google.cloud.documentai_v1beta3.types import processor_type
 
 DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
     gapic_version=package_version.__version__
@@ -166,6 +167,11 @@ def _prep_wrapped_messages(self, client_info):
                 default_timeout=None,
                 client_info=client_info,
             ),
+            self.get_processor_type: gapic_v1.method.wrap_method(
+                self.get_processor_type,
+                default_timeout=None,
+                client_info=client_info,
+            ),
             self.list_processors: gapic_v1.method.wrap_method(
                 self.list_processors,
                 default_timeout=None,
@@ -322,6 +328,15 @@ def list_processor_types(
     ]:
         raise NotImplementedError()
 
+    @property
+    def get_processor_type(
+        self,
+    ) -> Callable[
+        [document_processor_service.GetProcessorTypeRequest],
+        Union[processor_type.ProcessorType, Awaitable[processor_type.ProcessorType]],
+    ]:
+        raise NotImplementedError()
+
     @property
     def list_processors(
         self,

google/cloud/documentai_v1beta3/services/document_processor_service/transports/grpc.py

@@ -27,6 +27,7 @@
 from google.cloud.documentai_v1beta3.types import document_processor_service, evaluation
 from google.cloud.documentai_v1beta3.types import processor
 from google.cloud.documentai_v1beta3.types import processor as gcd_processor
+from google.cloud.documentai_v1beta3.types import processor_type
 
 from .base import DEFAULT_CLIENT_INFO, DocumentProcessorServiceTransport
 
@@ -368,6 +369,35 @@ def list_processor_types(
             )
         return self._stubs["list_processor_types"]
 
+    @property
+    def get_processor_type(
+        self,
+    ) -> Callable[
+        [document_processor_service.GetProcessorTypeRequest],
+        processor_type.ProcessorType,
+    ]:
+        r"""Return a callable for the get processor type method over gRPC.
+
+        Gets a processor type detail.
+
+        Returns:
+            Callable[[~.GetProcessorTypeRequest],
+                    ~.ProcessorType]:
+                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 "get_processor_type" not in self._stubs:
+            self._stubs["get_processor_type"] = self.grpc_channel.unary_unary(
+                "/google.cloud.documentai.v1beta3.DocumentProcessorService/GetProcessorType",
+                request_serializer=document_processor_service.GetProcessorTypeRequest.serialize,
+                response_deserializer=processor_type.ProcessorType.deserialize,
+            )
+        return self._stubs["get_processor_type"]
+
     @property
     def list_processors(
         self,