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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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