Ejemplo n.º 1
0
    async def reload_document(
        self,
        request: document.ReloadDocumentRequest = None,
        *,
        name: str = None,
        gcs_source: gcs.GcsSource = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Reloads the specified document from its specified source,
        content_uri or content. The previously loaded content of the
        document will be deleted. Note: Even when the content of the
        document has not changed, there still may be side effects
        because of internal implementation changes. Note: If the
        document source is Google Cloud Storage URI, its metadata will
        be replaced with the custom metadata from Google Cloud Storage
        if the ``import_gcs_custom_metadata`` field is set to true in
        the request.

        Note: The ``projects.agent.knowledgeBases.documents`` resource
        is deprecated; only use ``projects.knowledgeBases.documents``.

        Args:
            request (:class:`google.cloud.dialogflow_v2beta1.types.ReloadDocumentRequest`):
                The request object. Request message for
                [Documents.ReloadDocument][google.cloud.dialogflow.v2beta1.Documents.ReloadDocument].
            name (:class:`str`):
                Required. The name of the document to reload. Format:
                ``projects/<Project ID>/locations/<Location ID>/knowledgeBases/<Knowledge Base ID>/documents/<Document ID>``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            gcs_source (:class:`google.cloud.dialogflow_v2beta1.types.GcsSource`):
                The path for a Cloud Storage source
                file for reloading document content. If
                not provided, the Document's existing
                source will be reloaded.

                This corresponds to the ``gcs_source`` 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.dialogflow_v2beta1.types.Document`
                A knowledge document to be used by a
                [KnowledgeBase][google.cloud.dialogflow.v2beta1.KnowledgeBase].

                   For more information, see the [knowledge base
                   guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases).

                   Note: The projects.agent.knowledgeBases.documents
                   resource is deprecated; only use
                   projects.knowledgeBases.documents.

        """
        # 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([name, gcs_source])
        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 = document.ReloadDocumentRequest(request)

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

        if name is not None:
            request.name = name
        if gcs_source is not None:
            request.gcs_source = gcs_source

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.reload_document,
            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(
            (("name", request.name), )), )

        # 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,
            document.Document,
            metadata_type=document.KnowledgeOperationMetadata,
        )

        # Done; return the response.
        return response
    async def batch_process_documents(
        self,
        request: document_understanding.BatchProcessDocumentsRequest = None,
        *,
        requests: Sequence[
            document_understanding.ProcessDocumentRequest] = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""LRO endpoint to batch process many documents. The output is
        written to Cloud Storage as JSON in the [Document] format.

        Args:
            request (:class:`~.document_understanding.BatchProcessDocumentsRequest`):
                The request object. Request to batch process documents
                as an asynchronous operation. The output is written to
                Cloud Storage as JSON in the [Document] format.
            requests (:class:`Sequence[~.document_understanding.ProcessDocumentRequest]`):
                Required. Individual requests for
                each document.
                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:``~.document_understanding.BatchProcessDocumentsResponse``:
                Response to an batch document processing request. This
                is returned in the LRO Operation after the operation is
                complete.

        """
        # 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 = document_understanding.BatchProcessDocumentsRequest(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.batch_process_documents,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(
                    exceptions.ServiceUnavailable,
                    exceptions.DeadlineExceeded,
                ),
            ),
            default_timeout=120.0,
            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(
            (("parent", request.parent), )), )

        # 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,
            document_understanding.BatchProcessDocumentsResponse,
            metadata_type=document_understanding.OperationMetadata,
        )

        # Done; return the response.
        return response
    async def batch_migrate_resources(
        self,
        request: migration_service.BatchMigrateResourcesRequest = None,
        *,
        parent: str = None,
        migrate_resource_requests: Sequence[
            migration_service.MigrateResourceRequest] = None,
        retry: retries.Retry = 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 AI Platform (Unified).

        Args:
            request (:class:`google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesRequest`):
                The request object. Request message for
                ``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_v1beta1.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_v1beta1.types.BatchMigrateResourcesResponse`
                Response message for
                ``MigrationService.BatchMigrateResources``.

        """
        # 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([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)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.batch_migrate_resources,
            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(
            (("parent", request.parent), )), )

        # 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,
            migration_service.BatchMigrateResourcesResponse,
            metadata_type=migration_service.
            BatchMigrateResourcesOperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 4
0
    async def delete_tag_binding(
        self,
        request: tag_bindings.DeleteTagBindingRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Deletes a TagBinding.

        Args:
            request (:class:`google.cloud.resourcemanager_v3.types.DeleteTagBindingRequest`):
                The request object. The request message to delete a
                TagBinding.
            name (:class:`str`):
                Required. The name of the TagBinding. This is a String
                of the form: ``tagBindings/{id}`` (e.g.
                ``tagBindings/%2F%2Fcloudresourcemanager.googleapis.com%2Fprojects%2F123/tagValues/456``).

                This corresponds to the ``name`` 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.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

                   The JSON representation for Empty is empty JSON
                   object {}.

        """
        # 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([name])
        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 = tag_bindings.DeleteTagBindingRequest(request)

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

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.delete_tag_binding,
            default_timeout=60.0,
            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((("name", request.name),)),
        )

        # 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,
            empty_pb2.Empty,
            metadata_type=tag_bindings.DeleteTagBindingMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 5
0
    async def export_test_cases(
        self,
        request: test_case.ExportTestCasesRequest = None,
        *,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Exports the test cases under the agent to a Cloud
        Storage bucket or a local file. Filter can be applied to
        export a subset of test cases.

        Args:
            request (:class:`google.cloud.dialogflowcx_v3beta1.types.ExportTestCasesRequest`):
                The request object. The request message for
                [TestCases.ExportTestCases][google.cloud.dialogflow.cx.v3beta1.TestCases.ExportTestCases].

            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.dialogflowcx_v3beta1.types.ExportTestCasesResponse`
                The response message for
                [TestCases.ExportTestCases][google.cloud.dialogflow.cx.v3beta1.TestCases.ExportTestCases].

        """
        # Create or coerce a protobuf request object.

        request = test_case.ExportTestCasesRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.export_test_cases,
            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(
            (("parent", request.parent), )), )

        # 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,
            test_case.ExportTestCasesResponse,
            metadata_type=test_case.ExportTestCasesMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 6
0
    async def export_entities(
        self,
        request: datastore_admin.ExportEntitiesRequest = None,
        *,
        project_id: str = None,
        labels: Sequence[
            datastore_admin.ExportEntitiesRequest.LabelsEntry] = None,
        entity_filter: datastore_admin.EntityFilter = None,
        output_url_prefix: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Exports a copy of all or a subset of entities from
        Google Cloud Datastore to another storage system, such
        as Google Cloud Storage. Recent updates to entities may
        not be reflected in the export. The export occurs in the
        background and its progress can be monitored and managed
        via the Operation resource that is created. The output
        of an export may only be used once the associated
        operation is done. If an export operation is cancelled
        before completion it may leave partial data behind in
        Google Cloud Storage.

        Args:
            request (:class:`~.datastore_admin.ExportEntitiesRequest`):
                The request object. The request for
                [google.datastore.admin.v1.DatastoreAdmin.ExportEntities][google.datastore.admin.v1.DatastoreAdmin.ExportEntities].
            project_id (:class:`str`):
                Required. Project ID against which to
                make the request.
                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            labels (:class:`Sequence[~.datastore_admin.ExportEntitiesRequest.LabelsEntry]`):
                Client-assigned labels.
                This corresponds to the ``labels`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            entity_filter (:class:`~.datastore_admin.EntityFilter`):
                Description of what data from the
                project is included in the export.
                This corresponds to the ``entity_filter`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            output_url_prefix (:class:`str`):
                Required. Location for the export metadata and data
                files.

                The full resource URL of the external storage location.
                Currently, only Google Cloud Storage is supported. So
                output_url_prefix should be of the form:
                ``gs://BUCKET_NAME[/NAMESPACE_PATH]``, where
                ``BUCKET_NAME`` is the name of the Cloud Storage bucket
                and ``NAMESPACE_PATH`` is an optional Cloud Storage
                namespace path (this is not a Cloud Datastore
                namespace). For more information about Cloud Storage
                namespace paths, see `Object name
                considerations <https://cloud.google.com/storage/docs/naming#object-considerations>`__.

                The resulting files will be nested deeper than the
                specified URL prefix. The final output URL will be
                provided in the
                [google.datastore.admin.v1.ExportEntitiesResponse.output_url][google.datastore.admin.v1.ExportEntitiesResponse.output_url]
                field. That value should be used for subsequent
                ImportEntities operations.

                By nesting the data files deeper, the same Cloud Storage
                bucket can be used in multiple ExportEntities operations
                without conflict.
                This corresponds to the ``output_url_prefix`` 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:``~.datastore_admin.ExportEntitiesResponse``: The
                response for
                [google.datastore.admin.v1.DatastoreAdmin.ExportEntities][google.datastore.admin.v1.DatastoreAdmin.ExportEntities].

        """
        # 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(
            [project_id, labels, entity_filter, output_url_prefix])
        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 = datastore_admin.ExportEntitiesRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if entity_filter is not None:
            request.entity_filter = entity_filter
        if output_url_prefix is not None:
            request.output_url_prefix = output_url_prefix

        if labels:
            request.labels.update(labels)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.export_entities,
            default_timeout=60.0,
            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,
            datastore_admin.ExportEntitiesResponse,
            metadata_type=datastore_admin.ExportEntitiesMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 7
0
    async def update_index(
        self,
        request: index_service.UpdateIndexRequest = None,
        *,
        index: gca_index.Index = None,
        update_mask: field_mask_pb2.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates an Index.

        Args:
            request (:class:`google.cloud.aiplatform_v1.types.UpdateIndexRequest`):
                The request object. Request message for
                [IndexService.UpdateIndex][google.cloud.aiplatform.v1.IndexService.UpdateIndex].
            index (:class:`google.cloud.aiplatform_v1.types.Index`):
                Required. The Index which updates the
                resource on the server.

                This corresponds to the ``index`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                The update mask applies to the resource. For the
                ``FieldMask`` definition, see
                [google.protobuf.FieldMask][google.protobuf.FieldMask].

                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.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.Index` A representation of a collection of database items organized in a way that
                   allows for approximate nearest neighbor (a.k.a ANN)
                   algorithms search.

        """
        # 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([index, 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 = index_service.UpdateIndexRequest(request)

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

        # 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,
            gca_index.Index,
            metadata_type=index_service.UpdateIndexOperationMetadata,
        )

        # Done; return the response.
        return response
    async def export_data(
        self,
        request: dataset_service.ExportDataRequest = None,
        *,
        name: str = None,
        export_config: dataset.ExportDataConfig = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Exports data from a Dataset.

        Args:
            request (:class:`google.cloud.aiplatform_v1.types.ExportDataRequest`):
                The request object. Request message for
                ``DatasetService.ExportData``.
            name (:class:`str`):
                Required. The name of the Dataset resource. Format:
                ``projects/{project}/locations/{location}/datasets/{dataset}``

                This corresponds to the ``name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            export_config (:class:`google.cloud.aiplatform_v1.types.ExportDataConfig`):
                Required. The desired output
                location.

                This corresponds to the ``export_config`` 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.ExportDataResponse`
                Response message for
                ``DatasetService.ExportData``.

        """
        # 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([name, export_config])
        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 = dataset_service.ExportDataRequest(request)

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

        if name is not None:
            request.name = name
        if export_config is not None:
            request.export_config = export_config

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.export_data,
            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((("name", request.name),)),
        )

        # 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,
            dataset_service.ExportDataResponse,
            metadata_type=dataset_service.ExportDataOperationMetadata,
        )

        # Done; return the response.
        return response
    async def export_flow(
        self,
        request: Union[flow.ExportFlowRequest, dict] = None,
        *,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Exports the specified flow to a binary file.

        This method is a `long-running
        operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>`__.
        The returned ``Operation`` type has the following
        method-specific fields:

        -  ``metadata``: An empty `Struct
           message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>`__
        -  ``response``:
           [ExportFlowResponse][google.cloud.dialogflow.cx.v3.ExportFlowResponse]

        Note that resources (e.g. intents, entities, webhooks) that the
        flow references will also be exported.


        .. code-block::

            from google.cloud import dialogflowcx_v3

            def sample_export_flow():
                # Create a client
                client = dialogflowcx_v3.FlowsClient()

                # Initialize request argument(s)
                request = dialogflowcx_v3.ExportFlowRequest(
                    name="name_value",
                )

                # Make the request
                operation = client.export_flow(request=request)

                print("Waiting for operation to complete...")

                response = operation.result()

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.dialogflowcx_v3.types.ExportFlowRequest, dict]):
                The request object. The request message for
                [Flows.ExportFlow][google.cloud.dialogflow.cx.v3.Flows.ExportFlow].
            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.dialogflowcx_v3.types.ExportFlowResponse`
                The response message for
                [Flows.ExportFlow][google.cloud.dialogflow.cx.v3.Flows.ExportFlow].

        """
        # Create or coerce a protobuf request object.
        request = flow.ExportFlowRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.export_flow,
            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((("name", request.name),)),
        )

        # 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,
            flow.ExportFlowResponse,
            metadata_type=struct_pb2.Struct,
        )

        # Done; return the response.
        return response
Ejemplo n.º 10
0
    async def delete_domain_mapping(
        self,
        request: appengine.DeleteDomainMappingRequest = None,
        *,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Deletes the specified domain mapping. A user must be authorized
        to administer the associated domain in order to delete a
        ``DomainMapping`` resource.

        Args:
            request (:class:`google.cloud.appengine_admin_v1.types.DeleteDomainMappingRequest`):
                The request object. Request message for
                `DomainMappings.DeleteDomainMapping`.

            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.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

                   The JSON representation for Empty is empty JSON
                   object {}.

        """
        # Create or coerce a protobuf request object.

        request = appengine.DeleteDomainMappingRequest(request)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.delete_domain_mapping,
            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(
            (("name", request.name), )), )

        # 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,
            empty.Empty,
            metadata_type=ga_operation.OperationMetadataV1,
        )

        # Done; return the response.
        return response
Ejemplo n.º 11
0
    async def stage_build(
        self,
        request: build_service.StageBuildRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Stages a given build artifact from a internal Google Cloud
        Storage bucket to a partner Google Cloud Storage bucket. If any
        of objects has already been copied, it will overwrite the
        previous objects. Operation <response:
        [StageBuildResponse][google.chromeos.moblab.v1beta1.StageBuildResponse],
        metadata:
        [StageBuildMetadata][google.chromeos.moblab.v1beta1.StageBuildMetadata]>

        Args:
            request (:class:`google.chromeos.moblab_v1beta1.types.StageBuildRequest`):
                The request object. Request message for staging a build
                artifact.
            name (:class:`str`):
                Required. The full resource name of
                the build artifact. For example,
                'buildTargets/octopus/models/bobba/builds/12607.6.0/artifacts/chromeos-
                moblab-peng-staging'.

                This corresponds to the ``name`` 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.chromeos.moblab_v1beta1.types.StageBuildResponse`
                Response message for staging a build artifact.

        """
        # 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([name])
        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 = build_service.StageBuildRequest(request)

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

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.stage_build,
            default_timeout=60.0,
            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(
            (("name", request.name), )), )

        # 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,
            build_service.StageBuildResponse,
            metadata_type=build_service.StageBuildMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 12
0
    async def update_domain_mapping(
        self,
        request: appengine.UpdateDomainMappingRequest = None,
        *,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the specified domain mapping. To map an SSL certificate
        to a domain mapping, update ``certificate_id`` to point to an
        ``AuthorizedCertificate`` resource. A user must be authorized to
        administer the associated domain in order to update a
        ``DomainMapping`` resource.

        Args:
            request (:class:`google.cloud.appengine_admin_v1.types.UpdateDomainMappingRequest`):
                The request object. Request message for
                `DomainMappings.UpdateDomainMapping`.

            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.appengine_admin_v1.types.DomainMapping`
                A domain serving an App Engine application.

        """
        # Create or coerce a protobuf request object.

        request = appengine.UpdateDomainMappingRequest(request)

        # 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_domain_mapping,
            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(
            (("name", request.name), )), )

        # 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,
            domain_mapping.DomainMapping,
            metadata_type=ga_operation.OperationMetadataV1,
        )

        # Done; return the response.
        return response
Ejemplo n.º 13
0
    async def annotate_video(
        self,
        request: video_intelligence.AnnotateVideoRequest = None,
        *,
        input_uri: str = None,
        features: Sequence[video_intelligence.Feature] = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Performs asynchronous video annotation. Progress and results can
        be retrieved through the ``google.longrunning.Operations``
        interface. ``Operation.metadata`` contains
        ``AnnotateVideoProgress`` (progress). ``Operation.response``
        contains ``AnnotateVideoResponse`` (results).

        Args:
            request (:class:`google.cloud.videointelligence_v1p1beta1.types.AnnotateVideoRequest`):
                The request object. Video annotation request.
            input_uri (:class:`str`):
                Input video location. Currently, only `Google Cloud
                Storage <https://cloud.google.com/storage/>`__ URIs are
                supported, which must be specified in the following
                format: ``gs://bucket-id/object-id`` (other URI formats
                return
                [google.rpc.Code.INVALID_ARGUMENT][google.rpc.Code.INVALID_ARGUMENT]).
                For more information, see `Request
                URIs <https://cloud.google.com/storage/docs/request-endpoints>`__.
                A video URI may include wildcards in ``object-id``, and
                thus identify multiple videos. Supported wildcards: '*'
                to match 0 or more characters; '?' to match 1 character.
                If unset, the input video should be embedded in the
                request as ``input_content``. If set, ``input_content``
                should be unset.

                This corresponds to the ``input_uri`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            features (:class:`Sequence[google.cloud.videointelligence_v1p1beta1.types.Feature]`):
                Required. Requested video annotation
                features.

                This corresponds to the ``features`` 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.videointelligence_v1p1beta1.types.AnnotateVideoResponse` Video annotation response. Included in the response
                   field of the Operation returned by the GetOperation
                   call of the google::longrunning::Operations service.

        """
        # 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([input_uri, features])
        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 = video_intelligence.AnnotateVideoRequest(request)

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

        if input_uri is not None:
            request.input_uri = input_uri

        if features:
            request.features.extend(features)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.annotate_video,
            default_retry=retries.Retry(
                initial=1.0,
                maximum=120.0,
                multiplier=2.5,
                predicate=retries.if_exception_type(
                    exceptions.DeadlineExceeded,
                    exceptions.ServiceUnavailable,
                ),
                deadline=600.0,
            ),
            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,
            video_intelligence.AnnotateVideoResponse,
            metadata_type=video_intelligence.AnnotateVideoProgress,
        )

        # Done; return the response.
        return response
    async def update_specialist_pool(
        self,
        request: specialist_pool_service.UpdateSpecialistPoolRequest = None,
        *,
        specialist_pool: gca_specialist_pool.SpecialistPool = None,
        update_mask: field_mask.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates a SpecialistPool.

        Args:
            request (:class:`google.cloud.aiplatform_v1beta1.types.UpdateSpecialistPoolRequest`):
                The request object. Request message for
                ``SpecialistPoolService.UpdateSpecialistPool``.
            specialist_pool (:class:`google.cloud.aiplatform_v1beta1.types.SpecialistPool`):
                Required. The SpecialistPool which
                replaces the resource on the server.

                This corresponds to the ``specialist_pool`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Required. The update mask applies to
                the resource.

                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.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be :class:`google.cloud.aiplatform_v1beta1.types.SpecialistPool` SpecialistPool represents customers' own workforce to work on their data
                   labeling jobs. It includes a group of specialist
                   managers who are responsible for managing the
                   labelers in this pool as well as customers' data
                   labeling jobs associated with this pool. Customers
                   create specialist pool as well as start data labeling
                   jobs on Cloud, managers and labelers work with the
                   jobs using CrowdCompute console.

        """
        # 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([specialist_pool, 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 = specialist_pool_service.UpdateSpecialistPoolRequest(request)

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

        if specialist_pool is not None:
            request.specialist_pool = specialist_pool
        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_specialist_pool,
            default_timeout=5.0,
            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(
            (("specialist_pool.name", request.specialist_pool.name), )), )

        # 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,
            gca_specialist_pool.SpecialistPool,
            metadata_type=specialist_pool_service.
            UpdateSpecialistPoolOperationMetadata,
        )

        # Done; return the response.
        return response
    async def update_tag_key(
        self,
        request: tag_keys.UpdateTagKeyRequest = None,
        *,
        tag_key: tag_keys.TagKey = None,
        update_mask: field_mask_pb2.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the attributes of the TagKey resource.

        Args:
            request (:class:`google.cloud.resourcemanager_v3.types.UpdateTagKeyRequest`):
                The request object. The request message for updating a
                TagKey.
            tag_key (:class:`google.cloud.resourcemanager_v3.types.TagKey`):
                Required. The new definition of the TagKey. Only the
                ``description`` and ``etag`` fields can be updated by
                this request. If the ``etag`` field is not empty, it
                must match the ``etag`` field of the existing tag key.
                Otherwise, ``FAILED_PRECONDITION`` will be returned.

                This corresponds to the ``tag_key`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Fields to be updated. The mask may only contain
                ``description`` or ``etag``. If omitted entirely, both
                ``description`` and ``etag`` are assumed to be
                significant.

                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.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:`google.cloud.resourcemanager_v3.types.TagKey` A
                TagKey, used to group a set of TagValues.

        """
        # 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([tag_key, 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 = tag_keys.UpdateTagKeyRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if tag_key is not None:
            request.tag_key = tag_key
        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_tag_key,
            default_timeout=60.0,
            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(
            (("tag_key.name", request.tag_key.name), )), )

        # 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,
            tag_keys.TagKey,
            metadata_type=tag_keys.UpdateTagKeyMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 16
0
    async def train_flow(
        self,
        request: Union[flow.TrainFlowRequest, dict] = None,
        *,
        name: str = None,
        retry: OptionalRetry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Trains the specified flow. Note that only the flow in 'draft'
        environment is trained.

        This method is a `long-running
        operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>`__.
        The returned ``Operation`` type has the following
        method-specific fields:

        -  ``metadata``: An empty `Struct
           message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>`__
        -  ``response``: An `Empty
           message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>`__

        Note: You should always train a flow prior to sending it
        queries. See the `training
        documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>`__.


        .. code-block::

            from google.cloud import dialogflowcx_v3

            def sample_train_flow():
                # Create a client
                client = dialogflowcx_v3.FlowsClient()

                # Initialize request argument(s)
                request = dialogflowcx_v3.TrainFlowRequest(
                    name="name_value",
                )

                # Make the request
                operation = client.train_flow(request=request)

                print("Waiting for operation to complete...")

                response = operation.result()

                # Handle the response
                print(response)

        Args:
            request (Union[google.cloud.dialogflowcx_v3.types.TrainFlowRequest, dict]):
                The request object. The request message for
                [Flows.TrainFlow][google.cloud.dialogflow.cx.v3.Flows.TrainFlow].
            name (:class:`str`):
                Required. The flow to train. Format:
                ``projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>``.

                This corresponds to the ``name`` 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.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

                   The JSON representation for Empty is empty JSON
                   object {}.

        """
        # 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([name])
        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 = flow.TrainFlowRequest(request)

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

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.train_flow,
            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((("name", request.name),)),
        )

        # 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,
            empty_pb2.Empty,
            metadata_type=struct_pb2.Struct,
        )

        # Done; return the response.
        return response
    async def delete_tag_key(
        self,
        request: tag_keys.DeleteTagKeyRequest = None,
        *,
        name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Deletes a TagKey. The TagKey cannot be deleted if it
        has any child TagValues.

        Args:
            request (:class:`google.cloud.resourcemanager_v3.types.DeleteTagKeyRequest`):
                The request object. The request message for deleting a
                TagKey.
            name (:class:`str`):
                Required. The resource name of a TagKey to be deleted in
                the format ``tagKeys/123``. The TagKey cannot be a
                parent of any existing TagValues or it will not be
                deleted successfully.

                This corresponds to the ``name`` 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.resourcemanager_v3.types.TagKey` A
                TagKey, used to group a set of TagValues.

        """
        # 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([name])
        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 = tag_keys.DeleteTagKeyRequest(request)

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

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.delete_tag_key,
            default_timeout=60.0,
            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(
            (("name", request.name), )), )

        # 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,
            tag_keys.TagKey,
            metadata_type=tag_keys.DeleteTagKeyMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 18
0
    async def create_game_server_deployment(
        self,
        request: game_server_deployments.
        CreateGameServerDeploymentRequest = None,
        *,
        parent: str = None,
        game_server_deployment: game_server_deployments.
        GameServerDeployment = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a new game server deployment in a given
        project and location.

        Args:
            request (:class:`google.cloud.gaming_v1beta.types.CreateGameServerDeploymentRequest`):
                The request object. Request message for
                GameServerDeploymentsService.CreateGameServerDeployment.
            parent (:class:`str`):
                Required. The parent resource name. Uses the form:
                ``projects/{project}/locations/{location}``.

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            game_server_deployment (:class:`google.cloud.gaming_v1beta.types.GameServerDeployment`):
                Required. The game server delpoyment
                resource to be created.

                This corresponds to the ``game_server_deployment`` 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.gaming_v1beta.types.GameServerDeployment`
                A game server deployment resource.

        """
        # 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([parent, game_server_deployment])
        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 = game_server_deployments.CreateGameServerDeploymentRequest(
            request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if game_server_deployment is not None:
            request.game_server_deployment = game_server_deployment

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.create_game_server_deployment,
            default_timeout=60.0,
            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(
            (("parent", request.parent), )), )

        # 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,
            game_server_deployments.GameServerDeployment,
            metadata_type=common.OperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 19
0
    async def import_entities(
        self,
        request: datastore_admin.ImportEntitiesRequest = None,
        *,
        project_id: str = None,
        labels: Sequence[
            datastore_admin.ImportEntitiesRequest.LabelsEntry] = None,
        input_url: str = None,
        entity_filter: datastore_admin.EntityFilter = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Imports entities into Google Cloud Datastore.
        Existing entities with the same key are overwritten. The
        import occurs in the background and its progress can be
        monitored and managed via the Operation resource that is
        created. If an ImportEntities operation is cancelled, it
        is possible that a subset of the data has already been
        imported to Cloud Datastore.

        Args:
            request (:class:`~.datastore_admin.ImportEntitiesRequest`):
                The request object. The request for
                [google.datastore.admin.v1.DatastoreAdmin.ImportEntities][google.datastore.admin.v1.DatastoreAdmin.ImportEntities].
            project_id (:class:`str`):
                Required. Project ID against which to
                make the request.
                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            labels (:class:`Sequence[~.datastore_admin.ImportEntitiesRequest.LabelsEntry]`):
                Client-assigned labels.
                This corresponds to the ``labels`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            input_url (:class:`str`):
                Required. The full resource URL of the external storage
                location. Currently, only Google Cloud Storage is
                supported. So input_url should be of the form:
                ``gs://BUCKET_NAME[/NAMESPACE_PATH]/OVERALL_EXPORT_METADATA_FILE``,
                where ``BUCKET_NAME`` is the name of the Cloud Storage
                bucket, ``NAMESPACE_PATH`` is an optional Cloud Storage
                namespace path (this is not a Cloud Datastore
                namespace), and ``OVERALL_EXPORT_METADATA_FILE`` is the
                metadata file written by the ExportEntities operation.
                For more information about Cloud Storage namespace
                paths, see `Object name
                considerations <https://cloud.google.com/storage/docs/naming#object-considerations>`__.

                For more information, see
                [google.datastore.admin.v1.ExportEntitiesResponse.output_url][google.datastore.admin.v1.ExportEntitiesResponse.output_url].
                This corresponds to the ``input_url`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            entity_filter (:class:`~.datastore_admin.EntityFilter`):
                Optionally specify which kinds/namespaces are to be
                imported. If provided, the list must be a subset of the
                EntityFilter used in creating the export, otherwise a
                FAILED_PRECONDITION error will be returned. If no filter
                is specified then all entities from the export are
                imported.
                This corresponds to the ``entity_filter`` 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:``~.empty.Empty``: A generic empty message that
                you can re-use to avoid defining duplicated empty
                messages in your APIs. A typical example is to use it as
                the request or the response type of an API method. For
                instance:

                ::

                    service Foo {
                      rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
                    }

                The JSON representation for ``Empty`` is empty JSON
                object ``{}``.

        """
        # 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(
            [project_id, labels, input_url, entity_filter])
        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 = datastore_admin.ImportEntitiesRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if input_url is not None:
            request.input_url = input_url
        if entity_filter is not None:
            request.entity_filter = entity_filter

        if labels:
            request.labels.update(labels)

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.import_entities,
            default_timeout=60.0,
            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,
            empty.Empty,
            metadata_type=datastore_admin.ImportEntitiesMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 20
0
    async def update_game_server_deployment_rollout(
        self,
        request: game_server_deployments.
        UpdateGameServerDeploymentRolloutRequest = None,
        *,
        rollout: game_server_deployments.GameServerDeploymentRollout = None,
        update_mask: field_mask_pb2.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Patches a single game server deployment rollout. The method will
        not return an error if the update does not affect any existing
        realms. For example - if the default_game_server_config is
        changed but all existing realms use the override, that is valid.
        Similarly, if a non existing realm is explicitly called out in
        game_server_config_overrides field, that will also not result in
        an error.

        Args:
            request (:class:`google.cloud.gaming_v1beta.types.UpdateGameServerDeploymentRolloutRequest`):
                The request object. Request message for
                GameServerDeploymentsService.UpdateGameServerRolloutDeployment.
            rollout (:class:`google.cloud.gaming_v1beta.types.GameServerDeploymentRollout`):
                Required. The game server delpoyment rollout to be
                updated. Only fields specified in update_mask are
                updated.

                This corresponds to the ``rollout`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Required. Mask of fields to update. At least one path
                must be supplied in this field. For the ``FieldMask``
                definition, see

                https: //developers.google.com/protocol-buffers //
                /docs/reference/google.protobuf#fieldmask

                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.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:`google.cloud.gaming_v1beta.types.GameServerDeployment`
                A game server deployment resource.

        """
        # 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([rollout, 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 = game_server_deployments.UpdateGameServerDeploymentRolloutRequest(
            request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if rollout is not None:
            request.rollout = rollout
        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_game_server_deployment_rollout,
            default_timeout=60.0,
            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(
            (("rollout.name", request.rollout.name), )), )

        # 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,
            game_server_deployments.GameServerDeployment,
            metadata_type=common.OperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 21
0
    async def create_tag_binding(
        self,
        request: tag_bindings.CreateTagBindingRequest = None,
        *,
        tag_binding: tag_bindings.TagBinding = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a TagBinding between a TagValue and a cloud
        resource (currently project, folder, or organization).

        Args:
            request (:class:`google.cloud.resourcemanager_v3.types.CreateTagBindingRequest`):
                The request object. The request message to create a
                TagBinding.
            tag_binding (:class:`google.cloud.resourcemanager_v3.types.TagBinding`):
                Required. The TagBinding to be
                created.

                This corresponds to the ``tag_binding`` 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.resourcemanager_v3.types.TagBinding` A TagBinding represents a connection between a TagValue and a cloud
                   resource (currently project, folder, or
                   organization). Once a TagBinding is created, the
                   TagValue is applied to all the descendants of the
                   cloud resource.

        """
        # 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([tag_binding])
        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 = tag_bindings.CreateTagBindingRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if tag_binding is not None:
            request.tag_binding = tag_binding

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.create_tag_binding,
            default_timeout=60.0,
            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,
            tag_bindings.TagBinding,
            metadata_type=tag_bindings.CreateTagBindingMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 22
0
    async def create_cluster(
        self,
        request: clusters.CreateClusterRequest = None,
        *,
        project_id: str = None,
        region: str = None,
        cluster: clusters.Cluster = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a cluster in a project. The returned
        [Operation.metadata][google.longrunning.Operation.metadata] will
        be
        `ClusterOperationMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1beta2#clusteroperationmetadata>`__.

        Args:
            request (:class:`~.clusters.CreateClusterRequest`):
                The request object. A request to create a cluster.
            project_id (:class:`str`):
                Required. The ID of the Google Cloud
                Platform project that the cluster
                belongs to.
                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            region (:class:`str`):
                Required. The Dataproc region in
                which to handle the request.
                This corresponds to the ``region`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            cluster (:class:`~.clusters.Cluster`):
                Required. The cluster to create.
                This corresponds to the ``cluster`` 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:``~.clusters.Cluster``: Describes the identifying
                information, config, and status of a cluster of Compute
                Engine instances.

        """
        # 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([project_id, region, cluster]):
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        request = clusters.CreateClusterRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if region is not None:
            request.region = region
        if cluster is not None:
            request.cluster = cluster

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.create_cluster,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(exceptions.ServiceUnavailable,),
            ),
            default_timeout=300.0,
            client_info=_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,
            clusters.Cluster,
            metadata_type=operations.ClusterOperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 23
0
    async def instantiate_inline_workflow_template(
        self,
        request: workflow_templates.
        InstantiateInlineWorkflowTemplateRequest = None,
        *,
        parent: str = None,
        template: workflow_templates.WorkflowTemplate = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Instantiates a template and begins execution.

        This method is equivalent to executing the sequence
        [CreateWorkflowTemplate][google.cloud.dataproc.v1beta2.WorkflowTemplateService.CreateWorkflowTemplate],
        [InstantiateWorkflowTemplate][google.cloud.dataproc.v1beta2.WorkflowTemplateService.InstantiateWorkflowTemplate],
        [DeleteWorkflowTemplate][google.cloud.dataproc.v1beta2.WorkflowTemplateService.DeleteWorkflowTemplate].

        The returned Operation can be used to track execution of
        workflow by polling
        [operations.get][google.longrunning.Operations.GetOperation].
        The Operation will complete when entire workflow is finished.

        The running workflow can be aborted via
        [operations.cancel][google.longrunning.Operations.CancelOperation].
        This will cause any inflight jobs to be cancelled and
        workflow-owned clusters to be deleted.

        The [Operation.metadata][google.longrunning.Operation.metadata]
        will be
        `WorkflowMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#workflowmetadata>`__.
        Also see `Using
        WorkflowMetadata <https://cloud.google.com/dataproc/docs/concepts/workflows/debugging#using_workflowmetadata>`__.

        On successful completion,
        [Operation.response][google.longrunning.Operation.response] will
        be [Empty][google.protobuf.Empty].

        Args:
            request (:class:`google.cloud.dataproc_v1beta2.types.InstantiateInlineWorkflowTemplateRequest`):
                The request object. A request to instantiate an inline
                workflow template.
            parent (:class:`str`):
                Required. The resource name of the region or location,
                as described in
                https://cloud.google.com/apis/design/resource_names.

                -  For
                   ``projects.regions.workflowTemplates,instantiateinline``,
                   the resource name of the region has the following
                   format: ``projects/{project_id}/regions/{region}``

                -  For
                   ``projects.locations.workflowTemplates.instantiateinline``,
                   the resource name of the location has the following
                   format:
                   ``projects/{project_id}/locations/{location}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            template (:class:`google.cloud.dataproc_v1beta2.types.WorkflowTemplate`):
                Required. The workflow template to
                instantiate.

                This corresponds to the ``template`` 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.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated
                   empty messages in your APIs. A typical example is to
                   use it as the request or the response type of an API
                   method. For instance:

                      service Foo {
                         rpc Bar(google.protobuf.Empty) returns
                         (google.protobuf.Empty);

                      }

                   The JSON representation for Empty is empty JSON
                   object {}.

        """
        # 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([parent, template])
        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 = workflow_templates.InstantiateInlineWorkflowTemplateRequest(
            request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if template is not None:
            request.template = template

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

        # 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,
            empty_pb2.Empty,
            metadata_type=workflow_templates.WorkflowMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 24
0
    async def update_cluster(
        self,
        request: clusters.UpdateClusterRequest = None,
        *,
        project_id: str = None,
        region: str = None,
        cluster_name: str = None,
        cluster: clusters.Cluster = None,
        update_mask: field_mask.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates a cluster in a project. The returned
        [Operation.metadata][google.longrunning.Operation.metadata] will
        be
        `ClusterOperationMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1beta2#clusteroperationmetadata>`__.

        Args:
            request (:class:`~.clusters.UpdateClusterRequest`):
                The request object. A request to update a cluster.
            project_id (:class:`str`):
                Required. The ID of the Google Cloud
                Platform project the cluster belongs to.
                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            region (:class:`str`):
                Required. The Dataproc region in
                which to handle the request.
                This corresponds to the ``region`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            cluster_name (:class:`str`):
                Required. The cluster name.
                This corresponds to the ``cluster_name`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            cluster (:class:`~.clusters.Cluster`):
                Required. The changes to the cluster.
                This corresponds to the ``cluster`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`~.field_mask.FieldMask`):
                Required. Specifies the path, relative to ``Cluster``,
                of the field to update. For example, to change the
                number of workers in a cluster to 5, the ``update_mask``
                parameter would be specified as
                ``config.worker_config.num_instances``, and the
                ``PATCH`` request body would specify the new value, as
                follows:

                ::

                    {
                      "config":{
                        "workerConfig":{
                          "numInstances":"5"
                        }
                      }
                    }

                Similarly, to change the number of preemptible workers
                in a cluster to 5, the ``update_mask`` parameter would
                be ``config.secondary_worker_config.num_instances``, and
                the ``PATCH`` request body would be set as follows:

                ::

                    {
                      "config":{
                        "secondaryWorkerConfig":{
                          "numInstances":"5"
                        }
                      }
                    }

                Note: currently only the following fields can be
                updated:

                .. raw:: html

                    <table>
                    <tr>
                    <td><strong>Mask</strong></td><td><strong>Purpose</strong></td>
                    </tr>
                    <tr>
                    <td>labels</td><td>Updates labels</td>
                    </tr>
                    <tr>
                    <td>config.worker_config.num_instances</td><td>Resize primary worker
                    group</td>
                    </tr>
                    <tr>
                    <td>config.secondary_worker_config.num_instances</td><td>Resize secondary
                    worker group</td>
                    </tr>
                    <tr>
                    <td>config.lifecycle_config.auto_delete_ttl</td><td>Reset MAX TTL
                    duration</td>
                    </tr>
                    <tr>
                    <td>config.lifecycle_config.auto_delete_time</td><td>Update MAX TTL
                    deletion timestamp</td>
                    </tr>
                    <tr>
                    <td>config.lifecycle_config.idle_delete_ttl</td><td>Update Idle TTL
                    duration</td>
                    </tr>
                    <tr>
                    <td>config.autoscaling_config.policy_uri</td><td>Use, stop using, or change
                    autoscaling policies</td>
                    </tr>
                    </table>
                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:
            ~.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:``~.clusters.Cluster``: Describes the identifying
                information, config, and status of a cluster of Compute
                Engine instances.

        """
        # 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(
            [project_id, region, cluster_name, cluster, update_mask]
        ):
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        request = clusters.UpdateClusterRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if region is not None:
            request.region = region
        if cluster_name is not None:
            request.cluster_name = cluster_name
        if cluster is not None:
            request.cluster = cluster
        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_cluster,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(exceptions.ServiceUnavailable,),
            ),
            default_timeout=300.0,
            client_info=_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,
            clusters.Cluster,
            metadata_type=operations.ClusterOperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 25
0
    async 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_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 (Union[google.cloud.vision_v1.types.AsyncBatchAnnotateFilesRequest, dict]):
                The request object. Multiple async file annotation
                requests are batched into a single service call.
            requests (:class:`Sequence[google.cloud.vision_v1.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_v1.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(
                    core_exceptions.DeadlineExceeded,
                    core_exceptions.ServiceUnavailable,
                ),
                deadline=600.0,
            ),
            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
Ejemplo n.º 26
0
    async def diagnose_cluster(
        self,
        request: clusters.DiagnoseClusterRequest = None,
        *,
        project_id: str = None,
        region: str = None,
        cluster_name: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Gets cluster diagnostic information. The returned
        [Operation.metadata][google.longrunning.Operation.metadata] will
        be
        `ClusterOperationMetadata <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1beta2#clusteroperationmetadata>`__.
        After the operation completes,
        [Operation.response][google.longrunning.Operation.response]
        contains [Empty][google.protobuf.Empty].

        Args:
            request (:class:`~.clusters.DiagnoseClusterRequest`):
                The request object. A request to collect cluster
                diagnostic information.
            project_id (:class:`str`):
                Required. The ID of the Google Cloud
                Platform project that the cluster
                belongs to.
                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            region (:class:`str`):
                Required. The Dataproc region in
                which to handle the request.
                This corresponds to the ``region`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            cluster_name (:class:`str`):
                Required. The cluster name.
                This corresponds to the ``cluster_name`` 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:``~.empty.Empty``: A generic empty message that
                you can re-use to avoid defining duplicated empty
                messages in your APIs. A typical example is to use it as
                the request or the response type of an API method. For
                instance:

                ::

                    service Foo {
                      rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
                    }

                The JSON representation for ``Empty`` is empty JSON
                object ``{}``.

        """
        # 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([project_id, region, cluster_name]):
            raise ValueError(
                "If the `request` argument is set, then none of "
                "the individual field arguments should be set."
            )

        request = clusters.DiagnoseClusterRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if region is not None:
            request.region = region
        if cluster_name is not None:
            request.cluster_name = cluster_name

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.diagnose_cluster,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(exceptions.ServiceUnavailable,),
            ),
            default_timeout=300.0,
            client_info=_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,
            empty.Empty,
            metadata_type=operations.ClusterOperationMetadata,
        )

        # Done; return the response.
        return response
Ejemplo n.º 27
0
    async def submit_job_as_operation(
        self,
        request: jobs.SubmitJobRequest = None,
        *,
        project_id: str = None,
        region: str = None,
        job: jobs.Job = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Submits job to a cluster.

        Args:
            request (:class:`google.cloud.dataproc_v1.types.SubmitJobRequest`):
                The request object. A request to submit a job.
            project_id (:class:`str`):
                Required. The ID of the Google Cloud
                Platform project that the job belongs
                to.

                This corresponds to the ``project_id`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            region (:class:`str`):
                Required. The Dataproc region in
                which to handle the request.

                This corresponds to the ``region`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            job (:class:`google.cloud.dataproc_v1.types.Job`):
                Required. The job resource.
                This corresponds to the ``job`` 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.dataproc_v1.types.Job` A Dataproc
                job resource.

        """
        # 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([project_id, region, job])
        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 = jobs.SubmitJobRequest(request)

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

        if project_id is not None:
            request.project_id = project_id
        if region is not None:
            request.region = region
        if job is not None:
            request.job = job

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.submit_job_as_operation,
            default_retry=retries.Retry(
                initial=0.1,
                maximum=60.0,
                multiplier=1.3,
                predicate=retries.if_exception_type(exceptions.ServiceUnavailable,),
                deadline=900.0,
            ),
            default_timeout=900.0,
            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,
            jobs.Job,
            metadata_type=jobs.JobMetadata,
        )

        # Done; return the response.
        return response
    async def create_tag_key(
        self,
        request: tag_keys.CreateTagKeyRequest = None,
        *,
        tag_key: tag_keys.TagKey = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Creates a new TagKey. If another request with the
        same parameters is sent while the original request is in
        process, the second request will receive an error. A
        maximum of 300 TagKeys can exist under a parent at any
        given time.

        Args:
            request (:class:`google.cloud.resourcemanager_v3.types.CreateTagKeyRequest`):
                The request object. The request message for creating a
                TagKey.
            tag_key (:class:`google.cloud.resourcemanager_v3.types.TagKey`):
                Required. The TagKey to be created. Only fields
                ``short_name``, ``description``, and ``parent`` are
                considered during the creation request.

                This corresponds to the ``tag_key`` 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.resourcemanager_v3.types.TagKey` A
                TagKey, used to group a set of TagValues.

        """
        # 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([tag_key])
        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 = tag_keys.CreateTagKeyRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if tag_key is not None:
            request.tag_key = tag_key

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.create_tag_key,
            default_timeout=60.0,
            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,
            tag_keys.TagKey,
            metadata_type=tag_keys.CreateTagKeyMetadata,
        )

        # Done; return the response.
        return response
    async def batch_update_intents(
        self,
        request: intent.BatchUpdateIntentsRequest = None,
        *,
        parent: str = None,
        intent_batch_uri: str = None,
        intent_batch_inline: intent.IntentBatch = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates/Creates multiple intents in the specified agent.

        Operation <response:
        [BatchUpdateIntentsResponse][google.cloud.dialogflow.v2beta1.BatchUpdateIntentsResponse]>

        Args:
            request (:class:`google.cloud.dialogflow_v2beta1.types.BatchUpdateIntentsRequest`):
                The request object. The request message for
                [Intents.BatchUpdateIntents][google.cloud.dialogflow.v2beta1.Intents.BatchUpdateIntents].
            parent (:class:`str`):
                Required. The name of the agent to update or create
                intents in. Supported formats:

                -  ``projects/<Project ID>/agent``
                -  ``projects/<Project ID>/locations/<Location ID>/agent``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            intent_batch_uri (:class:`str`):
                The URI to a Google Cloud Storage
                file containing intents to update or
                create. The file format can either be a
                serialized proto (of IntentBatch type)
                or JSON object. Note: The URI must start
                with "gs://".

                This corresponds to the ``intent_batch_uri`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            intent_batch_inline (:class:`google.cloud.dialogflow_v2beta1.types.IntentBatch`):
                The collection of intents to update
                or create.

                This corresponds to the ``intent_batch_inline`` 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.dialogflow_v2beta1.types.BatchUpdateIntentsResponse`
                The response message for
                [Intents.BatchUpdateIntents][google.cloud.dialogflow.v2beta1.Intents.BatchUpdateIntents].

        """
        # 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([parent, intent_batch_uri, intent_batch_inline])
        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 = intent.BatchUpdateIntentsRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent
        if intent_batch_uri is not None:
            request.intent_batch_uri = intent_batch_uri
        if intent_batch_inline is not None:
            request.intent_batch_inline = intent_batch_inline

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.batch_update_intents,
            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((("parent", request.parent),)),
        )

        # 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,
            intent.BatchUpdateIntentsResponse,
            metadata_type=struct_pb2.Struct,
        )

        # Done; return the response.
        return response
Ejemplo n.º 30
0
    async def update_document(
        self,
        request: gcd_document.UpdateDocumentRequest = None,
        *,
        document: gcd_document.Document = None,
        update_mask: field_mask.FieldMask = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> operation_async.AsyncOperation:
        r"""Updates the specified document.

        Note: The ``projects.agent.knowledgeBases.documents`` resource
        is deprecated; only use ``projects.knowledgeBases.documents``.

        Args:
            request (:class:`google.cloud.dialogflow_v2beta1.types.UpdateDocumentRequest`):
                The request object. Request message for
                [Documents.UpdateDocument][google.cloud.dialogflow.v2beta1.Documents.UpdateDocument].
            document (:class:`google.cloud.dialogflow_v2beta1.types.Document`):
                Required. The document to update.
                This corresponds to the ``document`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`):
                Optional. Not specified means ``update all``. Currently,
                only ``display_name`` can be updated, an InvalidArgument
                will be returned for attempting to update other fields.

                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.api_core.operation_async.AsyncOperation:
                An object representing a long-running operation.

                The result type for the operation will be
                :class:`google.cloud.dialogflow_v2beta1.types.Document`
                A knowledge document to be used by a
                [KnowledgeBase][google.cloud.dialogflow.v2beta1.KnowledgeBase].

                   For more information, see the [knowledge base
                   guide](\ https://cloud.google.com/dialogflow/docs/how/knowledge-bases).

                   Note: The projects.agent.knowledgeBases.documents
                   resource is deprecated; only use
                   projects.knowledgeBases.documents.

        """
        # 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, 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 = gcd_document.UpdateDocumentRequest(request)

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

        if document is not None:
            request.document = document
        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_document,
            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(
            (("document.name", request.document.name), )), )

        # 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,
            gcd_document.Document,
            metadata_type=gcd_document.KnowledgeOperationMetadata,
        )

        # Done; return the response.
        return response