コード例 #1
0
    def update_webhook(
        self,
        request: gcdc_webhook.UpdateWebhookRequest = None,
        *,
        webhook: gcdc_webhook.Webhook = None,
        update_mask: field_mask_pb2.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> gcdc_webhook.Webhook:
        r"""Updates the specified webhook.

        Args:
            request (google.cloud.dialogflowcx_v3.types.UpdateWebhookRequest):
                The request object. The request message for
                [Webhooks.UpdateWebhook][google.cloud.dialogflow.cx.v3.Webhooks.UpdateWebhook].
            webhook (google.cloud.dialogflowcx_v3.types.Webhook):
                Required. The webhook to update.
                This corresponds to the ``webhook`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (google.protobuf.field_mask_pb2.FieldMask):
                The mask to control which fields get
                updated. If the mask is not present, all
                fields will be updated.

                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.cloud.dialogflowcx_v3.types.Webhook:
                Webhooks host the developer's
                business logic. During a session,
                webhooks allow the developer to use the
                data extracted by Dialogflow's natural
                language processing to generate dynamic
                responses, validate collected data, or
                trigger actions on the backend.

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

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

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

        # Done; return the response.
        return response
コード例 #2
0
    async def update_webhook(
            self,
            request: Union[gcdc_webhook.UpdateWebhookRequest, dict] = None,
            *,
            webhook: gcdc_webhook.Webhook = None,
            update_mask: field_mask_pb2.FieldMask = None,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: float = None,
            metadata: Sequence[Tuple[str, str]] = (),
    ) -> gcdc_webhook.Webhook:
        r"""Updates the specified webhook.

        .. code-block::

            from google.cloud import dialogflowcx_v3

            def sample_update_webhook():
                # Create a client
                client = dialogflowcx_v3.WebhooksClient()

                # Initialize request argument(s)
                webhook = dialogflowcx_v3.Webhook()
                webhook.generic_web_service.uri = "uri_value"
                webhook.display_name = "display_name_value"

                request = dialogflowcx_v3.UpdateWebhookRequest(
                    webhook=webhook,
                )

                # Make the request
                response = client.update_webhook(request=request)

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.dialogflowcx_v3.types.UpdateWebhookRequest, dict]):
                The request object. The request message for
                [Webhooks.UpdateWebhook][google.cloud.dialogflow.cx.v3.Webhooks.UpdateWebhook].
            webhook (:class:`google.cloud.dialogflowcx_v3.types.Webhook`):
                Required. The webhook to update.
                This corresponds to the ``webhook`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                The mask to control which fields get
                updated. If the mask is not present, all
                fields will be updated.

                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.cloud.dialogflowcx_v3.types.Webhook:
                Webhooks host the developer's
                business logic. During a session,
                webhooks allow the developer to use the
                data extracted by Dialogflow's natural
                language processing to generate dynamic
                responses, validate collected data, or
                trigger actions on the backend.

        """
        # 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([webhook, 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 = gcdc_webhook.UpdateWebhookRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if webhook is not None:
            request.webhook = webhook
        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_webhook,
            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(
            (("webhook.name", request.webhook.name), )), )

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

        # Done; return the response.
        return response