tests.unit.gapic.aiplatform_v1.test_migration_service: test_batch_migrate_resources_flattened_async failed

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---

commit: 843461c92dd8aed5a3574c431a3fcd38beff0d96 buildURL: Build Status, Sponge status: failed

Test output

@pytest.mark.asyncio
    async def test_batch_migrate_resources_flattened_async():
        client = MigrationServiceAsyncClient(
            credentials=ga_credentials.AnonymousCredentials(),
        )

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

            call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(
                operations_pb2.Operation(name="operations/spam")
            )
            # Call the method with a truthy value for each flattened field,
            # using the keyword arguments to the method.
>           response = await client.batch_migrate_resources(
                parent="parent_value",
                migrate_resource_requests=[
                    migration_service.MigrateResourceRequest(
                        migrate_ml_engine_model_version_config=migration_service.MigrateResourceRequest.MigrateMlEngineModelVersionConfig(
                            endpoint="endpoint_value"
                        )
                    )
                ],
            )

tests/unit/gapic/aiplatform_v1/test_migration_service.py:1307: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = 
request = parent: "parent_value"

    async def batch_migrate_resources(
        self,
        request: Union[migration_service.BatchMigrateResourcesRequest, dict] = None,
        *,
        parent: str = None,
        migrate_resource_requests: Sequence[
            migration_service.MigrateResourceRequest
        ] = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Batch migrates resources from ml.googleapis.com,
        automl.googleapis.com, and datalabeling.googleapis.com
        to Vertex AI.

        Args:
            request (Union[google.cloud.aiplatform_v1.types.BatchMigrateResourcesRequest, dict]):
                The request object. Request message for
                [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].
            parent (:class:`str`):
                Required. The location of the migrated resource will
                live in. Format:
                ``projects/{project}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            migrate_resource_requests (:class:`Sequence[google.cloud.aiplatform_v1.types.MigrateResourceRequest]`):
                Required. The request messages
                specifying the resources to migrate.
                They must be in the same location as the
                destination. Up to 50 resources can be
                migrated in one batch.

                This corresponds to the ``migrate_resource_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.aiplatform_v1.types.BatchMigrateResourcesResponse`
                Response message for
                [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1.MigrationService.BatchMigrateResources].

        """
        # 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([parent, migrate_resource_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 = migration_service.BatchMigrateResourcesRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if migrate_resource_requests:
>           request.migrate_resource_requests.extend(migrate_resource_requests)
E           TypeError: Expected a message object, but got migrate_ml_engine_model_version_config {
E             endpoint: "endpoint_value"
E           }
E           .

google/cloud/aiplatform_v1/services/migration_service/async_client.py:389: TypeError

[flaky-bot[bot]]

Closing as a duplicate of #1322

[flaky-bot[bot]]

Closing as a duplicate of #1322

[flaky-bot[bot]]

Closing as a duplicate of #1322