Example #1
0
    def classify_text(
        self,
        request: language_service.ClassifyTextRequest = None,
        *,
        document: language_service.Document = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> language_service.ClassifyTextResponse:
        r"""Classifies a document into categories.

        Args:
            request (google.cloud.language_v1.types.ClassifyTextRequest):
                The request object. The document classification request
                message.
            document (google.cloud.language_v1.types.Document):
                Input document.
                This corresponds to the ``document`` 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.language_v1.types.ClassifyTextResponse:
                The document classification response
                message.

        """
        # 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])
        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 language_service.ClassifyTextRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, language_service.ClassifyTextRequest):
            request = language_service.ClassifyTextRequest(request)

            # If we have keyword arguments corresponding to fields on the
            # request, apply these.

            if document is not None:
                request.document = document

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

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

        # Done; return the response.
        return response
    async def classify_text(
        self,
        request: language_service.ClassifyTextRequest = None,
        *,
        document: language_service.Document = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> language_service.ClassifyTextResponse:
        r"""Classifies a document into categories.

        Args:
            request (:class:`google.cloud.language_v1.types.ClassifyTextRequest`):
                The request object. The document classification request
                message.
            document (:class:`google.cloud.language_v1.types.Document`):
                Input document.
                This corresponds to the ``document`` 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.language_v1.types.ClassifyTextResponse:
                The document classification response
                message.

        """
        # 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])
        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 = language_service.ClassifyTextRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.

        if document is not None:
            request.document = document

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.classify_text,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    exceptions.DeadlineExceeded, exceptions.ServiceUnavailable,
                ),
            ),
            default_timeout=600.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

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

        # Done; return the response.
        return response