Exemple #1
0
async def test_async_batch_annotate_files_async(
        transport: str = "grpc_asyncio"):
    client = ImageAnnotatorAsyncClient(
        credentials=credentials.AnonymousCredentials(),
        transport=transport,
    )

    # Everything is optional in proto3 as far as the runtime is concerned,
    # and we are mocking out the actual API, so just send an empty request.
    request = image_annotator.AsyncBatchAnnotateFilesRequest()

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(
            type(client._client._transport.async_batch_annotate_files),
            "__call__") as call:
        # Designate an appropriate return value for the call.
        call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
            operations_pb2.Operation(name="operations/spam"))

        response = await client.async_batch_annotate_files(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls)
        _, args, _ = call.mock_calls[0]

        assert args[0] == request

    # Establish that the response is the type that we expect.
    assert isinstance(response, future.Future)
Exemple #2
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async def test_async_batch_annotate_files_flattened_error_async():
    client = ImageAnnotatorAsyncClient(
        credentials=credentials.AnonymousCredentials(), )

    # Attempting to call a method with both a request object and flattened
    # fields is an error.
    with pytest.raises(ValueError):
        await client.async_batch_annotate_files(
            image_annotator.AsyncBatchAnnotateFilesRequest(),
            requests=[
                image_annotator.AsyncAnnotateFileRequest(
                    input_config=image_annotator.InputConfig(
                        gcs_source=image_annotator.GcsSource(uri="uri_value")))
            ],
        )
Exemple #3
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def test_async_batch_annotate_files_empty_call():
    # This test is a coverage failsafe to make sure that totally empty calls,
    # i.e. request == None and no flattened fields passed, work.
    client = ImageAnnotatorClient(
        credentials=credentials.AnonymousCredentials(),
        transport="grpc",
    )

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client.transport.async_batch_annotate_files),
                           "__call__") as call:
        client.async_batch_annotate_files()
        call.assert_called()
        _, args, _ = call.mock_calls[0]

        assert args[0] == image_annotator.AsyncBatchAnnotateFilesRequest()
Exemple #4
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    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 async image detection and annotation for a list of generic
        files (e.g. PDF) 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:`~.image_annotator.AsyncBatchAnnotateFilesRequest`):
                The request object. Multiple async file annotation
                requests are batched into a single service call.
            requests (:class:`Sequence[~.image_annotator.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:
            ~.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:``~.image_annotator.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.
        if request is not None and any([requests]):
            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 is not None:
            request.requests = 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(
                    exceptions.ServiceUnavailable,
                    exceptions.DeadlineExceeded,
                ),
            ),
            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
Exemple #5
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    def async_batch_annotate_files(
            self,
            request: Union[image_annotator.AsyncBatchAnnotateFilesRequest,
                           dict] = None,
            *,
            requests: Sequence[
                image_annotator.AsyncAnnotateFileRequest] = None,
            retry: OptionalRetry = gapic_v1.method.DEFAULT,
            timeout: float = None,
            metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation.Operation:
        r"""Run async image detection and annotation for a list of generic
        files (e.g. PDF) 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 (Union[google.cloud.vision_v1p2beta1.types.AsyncBatchAnnotateFilesRequest, dict]):
                The request object. Multiple async file annotation
                requests are batched into a single service call.
            requests (Sequence[google.cloud.vision_v1p2beta1.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_v1p2beta1.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