Esempio n. 1
0
    async def async_batch_annotate_files(
        self,
        request: image_annotator.AsyncBatchAnnotateFilesRequest = None,
        *,
        requests: Sequence[image_annotator.AsyncAnnotateFileRequest] = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Run asynchronous image detection and annotation for a list of
        generic files, such as PDF files, which may contain multiple
        pages and multiple images per page. Progress and results can be
        retrieved through the ``google.longrunning.Operations``
        interface. ``Operation.metadata`` contains ``OperationMetadata``
        (metadata). ``Operation.response`` contains
        ``AsyncBatchAnnotateFilesResponse`` (results).

        Args:
            request (:class:`google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateFilesRequest`):
                The request object. Multiple async file annotation
                requests are batched into a single service call.
            requests (:class:`Sequence[google.cloud.vision_v1p4beta1.types.AsyncAnnotateFileRequest]`):
                Required. Individual async file
                annotation requests for this batch.

                This corresponds to the ``requests`` 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.vision_v1p4beta1.types.AsyncBatchAnnotateFilesResponse`
                Response to an async batch file annotation request.

        """
        # 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([requests])
        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 = image_annotator.AsyncBatchAnnotateFilesRequest(request)

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

        if requests:
            request.requests.extend(requests)

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

        # 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,
            image_annotator.AsyncBatchAnnotateFilesResponse,
            metadata_type=image_annotator.OperationMetadata,
        )

        # Done; return the response.
        return response
Esempio n. 2
0
    def async_batch_annotate_files(
        self,
        request: image_annotator.AsyncBatchAnnotateFilesRequest = None,
        *,
        requests: Sequence[image_annotator.AsyncAnnotateFileRequest] = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation.Operation:
        r"""Run asynchronous image detection and annotation for a list of
        generic files, such as PDF files, which may contain multiple
        pages and multiple images per page. Progress and results can be
        retrieved through the ``google.longrunning.Operations``
        interface. ``Operation.metadata`` contains ``OperationMetadata``
        (metadata). ``Operation.response`` contains
        ``AsyncBatchAnnotateFilesResponse`` (results).

        Args:
            request (google.cloud.vision_v1p4beta1.types.AsyncBatchAnnotateFilesRequest):
                The request object. Multiple async file annotation
                requests are batched into a single service call.
            requests (Sequence[google.cloud.vision_v1p4beta1.types.AsyncAnnotateFileRequest]):
                Required. Individual async file
                annotation requests for this batch.

                This corresponds to the ``requests`` 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.vision_v1p4beta1.types.AsyncBatchAnnotateFilesResponse`
                Response to an async batch file annotation request.

        """
        # 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([requests])
        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 image_annotator.AsyncBatchAnnotateFilesRequest.
        # There's no risk of modifying the input as we've already verified
        # there are no flattened fields.
        if not isinstance(request, image_annotator.AsyncBatchAnnotateFilesRequest):
            request = image_annotator.AsyncBatchAnnotateFilesRequest(request)
            if requests is not None:
                for i in range(len(requests)):
                    requests[i] = image_annotator.AsyncAnnotateFileRequest(requests[i])
            # If we have keyword arguments corresponding to fields on the
            # request, apply these.
            if requests is not None:
                request.requests = requests

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

        # 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,
            image_annotator.AsyncBatchAnnotateFilesResponse,
            metadata_type=image_annotator.OperationMetadata,
        )

        # Done; return the response.
        return response