def update_document(
            self,
            request: gcd_document.UpdateDocumentRequest = None,
            *,
            document: gcd_document.Document = None,
            update_mask: field_mask_pb2.FieldMask = None,
            retry: retries.Retry = gapic_v1.method.DEFAULT,
            timeout: float = None,
            metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation.Operation:
        r"""Updates the specified document.

        Operation <response:
        [Document][google.cloud.dialogflow.v2.Document], metadata:
        [KnowledgeOperationMetadata][google.cloud.dialogflow.v2.KnowledgeOperationMetadata]>

        Args:
            request (google.cloud.dialogflow_v2.types.UpdateDocumentRequest):
                The request object. Request message for
                [Documents.UpdateDocument][google.cloud.dialogflow.v2.Documents.UpdateDocument].
            document (google.cloud.dialogflow_v2.types.Document):
                Required. The document to update.
                This corresponds to the ``document`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (google.protobuf.field_mask_pb2.FieldMask):
                Optional. Not specified means ``update all``. Currently,
                only ``display_name`` can be updated, an InvalidArgument
                will be returned for attempting to update other fields.

                This corresponds to the ``update_mask`` 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.api_core.operation.Operation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:`google.cloud.dialogflow_v2.types.Document` A
                knowledge document to be used by a
                [KnowledgeBase][google.cloud.dialogflow.v2.KnowledgeBase].

                   For more information, see the [knowledge base
                   guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases).

                   Note: The projects.agent.knowledgeBases.documents
                   resource is deprecated; only use
                   projects.knowledgeBases.documents.

        """
        # 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([document, update_mask])
        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_document.UpdateDocumentRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, gcd_document.UpdateDocumentRequest):
            request = gcd_document.UpdateDocumentRequest(request)
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if document is not None:
                request.document = document
            if update_mask is not None:
                request.update_mask = update_mask

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = self._transport._wrapped_methods[self._transport.update_document]

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
            (("document.name", request.document.name), )), )

        # Send the request.
        response = rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Wrap the response in an operation future.
        response = operation.from_gapic(
            response,
            self._transport.operations_client,
            gcd_document.Document,
            metadata_type=gcd_document.KnowledgeOperationMetadata,
        )

        # Done; return the response.
        return response
Beispiel #2
0
    async def update_document(
        self,
        request: Union[gcd_document.UpdateDocumentRequest, dict] = None,
        *,
        document: gcd_document.Document = None,
        update_mask: field_mask_pb2.FieldMask = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the specified document.

        This method is a `long-running
        operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>`__.
        The returned ``Operation`` type has the following
        method-specific fields:

        -  ``metadata``:
           [KnowledgeOperationMetadata][google.cloud.dialogflow.v2.KnowledgeOperationMetadata]
        -  ``response``: [Document][google.cloud.dialogflow.v2.Document]

        .. code-block:: python

            from google.cloud import dialogflow_v2

            async def sample_update_document():
                # Create a client
                client = dialogflow_v2.DocumentsAsyncClient()

                # Initialize request argument(s)
                document = dialogflow_v2.Document()
                document.content_uri = "content_uri_value"
                document.display_name = "display_name_value"
                document.mime_type = "mime_type_value"
                document.knowledge_types = "AGENT_FACING_SMART_REPLY"

                request = dialogflow_v2.UpdateDocumentRequest(
                    document=document,
                )

                # Make the request
                operation = client.update_document(request=request)

                print("Waiting for operation to complete...")

                response = await operation.result()

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.dialogflow_v2.types.UpdateDocumentRequest, dict]):
                The request object. Request message for
                [Documents.UpdateDocument][google.cloud.dialogflow.v2.Documents.UpdateDocument].
            document (:class:`google.cloud.dialogflow_v2.types.Document`):
                Required. The document to update.
                This corresponds to the ``document`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Optional. Not specified means ``update all``. Currently,
                only ``display_name`` can be updated, an InvalidArgument
                will be returned for attempting to update other fields.

                This corresponds to the ``update_mask`` 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.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:`google.cloud.dialogflow_v2.types.Document` A
                knowledge document to be used by a
                [KnowledgeBase][google.cloud.dialogflow.v2.KnowledgeBase].

                   For more information, see the [knowledge base
                   guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases).

                   Note: The projects.agent.knowledgeBases.documents
                   resource is deprecated; only use
                   projects.knowledgeBases.documents.

        """
        # 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([document, update_mask])
        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_document.UpdateDocumentRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if document is not None:
            request.document = document
        if update_mask is not None:
            request.update_mask = update_mask

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.update_document,
            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(
            (("document.name", request.document.name), )), )

        # Send the request.
        response = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # Wrap the response in an operation future.
        response = operation_async.from_gapic(
            response,
            self._client._transport.operations_client,
            gcd_document.Document,
            metadata_type=gcd_document.KnowledgeOperationMetadata,
        )

        # Done; return the response.
        return response