As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

Source code for google.cloud.dataproc_v1.services.cluster_controller.async_client

# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import re
from typing import (
    Callable,
    Dict,
    Mapping,
    MutableMapping,
    MutableSequence,
    Optional,
    Sequence,
    Tuple,
    Type,
    Union,
)

from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry_async as retries
from google.api_core.client_options import ClientOptions
from google.auth import credentials as ga_credentials  # type: ignore
from google.oauth2 import service_account  # type: ignore

from google.cloud.dataproc_v1 import gapic_version as package_version

try:
    OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
except AttributeError:  # pragma: NO COVER
    OptionalRetry = Union[retries.AsyncRetry, object, None]  # type: ignore

from google.api_core import operation  # type: ignore
from google.api_core import operation_async  # type: ignore
from google.iam.v1 import iam_policy_pb2  # type: ignore
from google.iam.v1 import policy_pb2  # type: ignore
from google.longrunning import operations_pb2  # type: ignore
from google.protobuf import empty_pb2  # type: ignore
from google.protobuf import field_mask_pb2  # type: ignore

from google.cloud.dataproc_v1.services.cluster_controller import pagers
from google.cloud.dataproc_v1.types import clusters, operations

from .client import ClusterControllerClient
from .transports.base import DEFAULT_CLIENT_INFO, ClusterControllerTransport
from .transports.grpc_asyncio import ClusterControllerGrpcAsyncIOTransport


[docs]class ClusterControllerAsyncClient: """The ClusterControllerService provides methods to manage clusters of Compute Engine instances. """ _client: ClusterControllerClient # Copy defaults from the synchronous client for use here. # Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead. DEFAULT_ENDPOINT = ClusterControllerClient.DEFAULT_ENDPOINT DEFAULT_MTLS_ENDPOINT = ClusterControllerClient.DEFAULT_MTLS_ENDPOINT _DEFAULT_ENDPOINT_TEMPLATE = ClusterControllerClient._DEFAULT_ENDPOINT_TEMPLATE _DEFAULT_UNIVERSE = ClusterControllerClient._DEFAULT_UNIVERSE cluster_path = staticmethod(ClusterControllerClient.cluster_path) parse_cluster_path = staticmethod(ClusterControllerClient.parse_cluster_path) crypto_key_path = staticmethod(ClusterControllerClient.crypto_key_path) parse_crypto_key_path = staticmethod(ClusterControllerClient.parse_crypto_key_path) node_group_path = staticmethod(ClusterControllerClient.node_group_path) parse_node_group_path = staticmethod(ClusterControllerClient.parse_node_group_path) service_path = staticmethod(ClusterControllerClient.service_path) parse_service_path = staticmethod(ClusterControllerClient.parse_service_path) common_billing_account_path = staticmethod( ClusterControllerClient.common_billing_account_path ) parse_common_billing_account_path = staticmethod( ClusterControllerClient.parse_common_billing_account_path ) common_folder_path = staticmethod(ClusterControllerClient.common_folder_path) parse_common_folder_path = staticmethod( ClusterControllerClient.parse_common_folder_path ) common_organization_path = staticmethod( ClusterControllerClient.common_organization_path ) parse_common_organization_path = staticmethod( ClusterControllerClient.parse_common_organization_path ) common_project_path = staticmethod(ClusterControllerClient.common_project_path) parse_common_project_path = staticmethod( ClusterControllerClient.parse_common_project_path ) common_location_path = staticmethod(ClusterControllerClient.common_location_path) parse_common_location_path = staticmethod( ClusterControllerClient.parse_common_location_path )
[docs] @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: ClusterControllerAsyncClient: The constructed client. """ return ClusterControllerClient.from_service_account_info.__func__(ClusterControllerAsyncClient, info, *args, **kwargs) # type: ignore
[docs] @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: ClusterControllerAsyncClient: The constructed client. """ return ClusterControllerClient.from_service_account_file.__func__(ClusterControllerAsyncClient, filename, *args, **kwargs) # type: ignore
from_service_account_json = from_service_account_file
[docs] @classmethod def get_mtls_endpoint_and_cert_source( cls, client_options: Optional[ClientOptions] = None ): """Return the API endpoint and client cert source for mutual TLS. The client cert source is determined in the following order: (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the client cert source is None. (2) if `client_options.client_cert_source` is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None. The API endpoint is determined in the following order: (1) if `client_options.api_endpoint` if provided, use the provided one. (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint. More details can be found at https://google.aip.dev/auth/4114. Args: client_options (google.api_core.client_options.ClientOptions): Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method. Returns: Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the client cert source to use. Raises: google.auth.exceptions.MutualTLSChannelError: If any errors happen. """ return ClusterControllerClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore
@property def transport(self) -> ClusterControllerTransport: """Returns the transport used by the client instance. Returns: ClusterControllerTransport: The transport used by the client instance. """ return self._client.transport @property def api_endpoint(self): """Return the API endpoint used by the client instance. Returns: str: The API endpoint used by the client instance. """ return self._client._api_endpoint @property def universe_domain(self) -> str: """Return the universe domain used by the client instance. Returns: str: The universe domain used by the client instance. """ return self._client._universe_domain get_transport_class = ClusterControllerClient.get_transport_class def __init__( self, *, credentials: Optional[ga_credentials.Credentials] = None, transport: Optional[ Union[ str, ClusterControllerTransport, Callable[..., ClusterControllerTransport], ] ] = "grpc_asyncio", client_options: Optional[ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiates the cluster controller async client. Args: credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. transport (Optional[Union[str,ClusterControllerTransport,Callable[..., ClusterControllerTransport]]]): The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the ClusterControllerTransport constructor. If set to None, a transport is chosen automatically. client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]): Custom options for the client. 1. The ``api_endpoint`` property can be used to override the default endpoint provided by the client when ``transport`` is not explicitly provided. Only if this property is not set and ``transport`` was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The ``universe_domain`` property can be used to override the default "googleapis.com" universe. Note that ``api_endpoint`` property still takes precedence; and ``universe_domain`` is currently not supported for mTLS. client_info (google.api_core.gapic_v1.client_info.ClientInfo): The client info used to send a user-agent string along with API requests. If ``None``, then default info will be used. Generally, you only need to set this if you're developing your own client library. Raises: google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport creation failed for any reason. """ self._client = ClusterControllerClient( credentials=credentials, transport=transport, client_options=client_options, client_info=client_info, )
[docs] async def create_cluster( self, request: Optional[Union[clusters.CreateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster: Optional[clusters.Cluster] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, 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.v1#clusteroperationmetadata>`__. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_create_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) cluster = dataproc_v1.Cluster() cluster.project_id = "project_id_value" cluster.cluster_name = "cluster_name_value" request = dataproc_v1.CreateClusterRequest( project_id="project_id_value", region="region_value", cluster=cluster, ) # Make the request operation = client.create_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.CreateClusterRequest, dict]]): 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:`google.cloud.dataproc_v1.types.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_async.AsyncRetry): 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.Cluster` Describes the identifying information, config, and status of a Dataproc cluster """ # 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([project_id, region, cluster]) 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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.CreateClusterRequest): 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 = self._client._transport._wrapped_methods[ self._client._transport.create_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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
[docs] async def update_cluster( self, request: Optional[Union[clusters.UpdateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, cluster: Optional[clusters.Cluster] = None, update_mask: Optional[field_mask_pb2.FieldMask] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, 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.v1#clusteroperationmetadata>`__. The cluster must be in a [``RUNNING``][google.cloud.dataproc.v1.ClusterStatus.State] state or an error is returned. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_update_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) cluster = dataproc_v1.Cluster() cluster.project_id = "project_id_value" cluster.cluster_name = "cluster_name_value" request = dataproc_v1.UpdateClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", cluster=cluster, ) # Make the request operation = client.update_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.UpdateClusterRequest, dict]]): 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:`google.cloud.dataproc_v1.types.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:`google.protobuf.field_mask_pb2.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> <tbody> <tr> <td><strong>Mask</strong></td> <td><strong>Purpose</strong></td> </tr> <tr> <td><strong><em>labels</em></strong></td> <td>Update labels</td> </tr> <tr> <td><strong><em>config.worker_config.num_instances</em></strong></td> <td>Resize primary worker group</td> </tr> <tr> <td><strong><em>config.secondary_worker_config.num_instances</em></strong></td> <td>Resize secondary worker group</td> </tr> <tr> <td>config.autoscaling_config.policy_uri</td><td>Use, stop using, or change autoscaling policies</td> </tr> </tbody> </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_async.AsyncRetry): 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.Cluster` Describes the identifying information, config, and status of a Dataproc cluster """ # 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( [project_id, region, cluster_name, cluster, 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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.UpdateClusterRequest): 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 = self._client._transport._wrapped_methods[ self._client._transport.update_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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
[docs] async def stop_cluster( self, request: Optional[Union[clusters.StopClusterRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation_async.AsyncOperation: r"""Stops a cluster in a project. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_stop_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.StopClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", ) # Make the request operation = client.stop_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.StopClusterRequest, dict]]): The request object. A request to stop a cluster. retry (google.api_core.retry_async.AsyncRetry): 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.Cluster` Describes the identifying information, config, and status of a Dataproc cluster """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.StopClusterRequest): request = clusters.StopClusterRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.stop_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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
[docs] async def start_cluster( self, request: Optional[Union[clusters.StartClusterRequest, dict]] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation_async.AsyncOperation: r"""Starts a cluster in a project. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_start_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.StartClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", ) # Make the request operation = client.start_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.StartClusterRequest, dict]]): The request object. A request to start a cluster. retry (google.api_core.retry_async.AsyncRetry): 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.Cluster` Describes the identifying information, config, and status of a Dataproc cluster """ # Create or coerce a protobuf request object. # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.StartClusterRequest): request = clusters.StartClusterRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.start_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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
[docs] async def delete_cluster( self, request: Optional[Union[clusters.DeleteClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operation_async.AsyncOperation: r"""Deletes 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.v1#clusteroperationmetadata>`__. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_delete_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.DeleteClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", ) # Make the request operation = client.delete_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.DeleteClusterRequest, dict]]): The request object. A request to delete 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_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_async.AsyncRetry): 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); } """ # 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([project_id, region, cluster_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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.DeleteClusterRequest): request = clusters.DeleteClusterRequest(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 = self._client._transport._wrapped_methods[ self._client._transport.delete_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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=operations.ClusterOperationMetadata, ) # Done; return the response. return response
[docs] async def get_cluster( self, request: Optional[Union[clusters.GetClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> clusters.Cluster: r"""Gets the resource representation for a cluster in a project. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_get_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.GetClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", ) # Make the request response = await client.get_cluster(request=request) # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.GetClusterRequest, dict]]): The request object. Request to get the resource representation for a cluster in a project. 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_async.AsyncRetry): 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.cloud.dataproc_v1.types.Cluster: Describes the identifying information, config, and status of a Dataproc cluster """ # 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([project_id, region, cluster_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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.GetClusterRequest): request = clusters.GetClusterRequest(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 = self._client._transport._wrapped_methods[ self._client._transport.get_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def list_clusters( self, request: Optional[Union[clusters.ListClustersRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, filter: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.ListClustersAsyncPager: r"""Lists all regions/{region}/clusters in a project alphabetically. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_list_clusters(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.ListClustersRequest( project_id="project_id_value", region="region_value", ) # Make the request page_result = client.list_clusters(request=request) # Handle the response async for response in page_result: print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.ListClustersRequest, dict]]): The request object. A request to list the clusters in a project. 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. filter (:class:`str`): Optional. A filter constraining the clusters to list. Filters are case-sensitive and have the following syntax: field = value [AND [field = value]] ... where **field** is one of ``status.state``, ``clusterName``, or ``labels.[KEY]``, and ``[KEY]`` is a label key. **value** can be ``*`` to match all values. ``status.state`` can be one of the following: ``ACTIVE``, ``INACTIVE``, ``CREATING``, ``RUNNING``, ``ERROR``, ``DELETING``, ``UPDATING``, ``STOPPING``, or ``STOPPED``. ``ACTIVE`` contains the ``CREATING``, ``UPDATING``, and ``RUNNING`` states. ``INACTIVE`` contains the ``DELETING``, ``ERROR``, ``STOPPING``, and ``STOPPED`` states. ``clusterName`` is the name of the cluster provided at creation time. Only the logical ``AND`` operator is supported; space-separated items are treated as having an implicit ``AND`` operator. Example filter: status.state = ACTIVE AND clusterName = mycluster AND labels.env = staging AND labels.starred = \* This corresponds to the ``filter`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry_async.AsyncRetry): 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.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersAsyncPager: The list of all clusters in a project. Iterating over this object will yield results and resolve additional pages automatically. """ # 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([project_id, region, 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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.ListClustersRequest): request = clusters.ListClustersRequest(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 filter is not None: request.filter = filter # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._client._transport._wrapped_methods[ self._client._transport.list_clusters ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # This method is paged; wrap the response in a pager, which provides # an `__aiter__` convenience method. response = pagers.ListClustersAsyncPager( method=rpc, request=request, response=response, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def diagnose_cluster( self, request: Optional[Union[clusters.DiagnoseClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, 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.v1#clusteroperationmetadata>`__. After the operation completes, [Operation.response][google.longrunning.Operation.response] contains `DiagnoseClusterResults <https://cloud.google.com/dataproc/docs/reference/rpc/google.cloud.dataproc.v1#diagnoseclusterresults>`__. .. code-block:: python # This snippet has been automatically generated and should be regarded as a # code template only. # It will require modifications to work: # - It may require correct/in-range values for request initialization. # - It may require specifying regional endpoints when creating the service # client as shown in: # https://googleapis.dev/python/google-api-core/latest/client_options.html from google.cloud import dataproc_v1 async def sample_diagnose_cluster(): # Create a client client = dataproc_v1.ClusterControllerAsyncClient() # Initialize request argument(s) request = dataproc_v1.DiagnoseClusterRequest( project_id="project_id_value", region="region_value", cluster_name="cluster_name_value", ) # Make the request operation = client.diagnose_cluster(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response) Args: request (Optional[Union[google.cloud.dataproc_v1.types.DiagnoseClusterRequest, dict]]): 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_async.AsyncRetry): 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.DiagnoseClusterResults` The location of diagnostic output. """ # 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([project_id, region, cluster_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." ) # - Use the request object if provided (there's no risk of modifying the input as # there are no flattened fields), or create one. if not isinstance(request, clusters.DiagnoseClusterRequest): 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 = self._client._transport._wrapped_methods[ self._client._transport.diagnose_cluster ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( ( ("project_id", request.project_id), ("region", request.region), ("cluster_name", request.cluster_name), ) ), ) # Validate the universe domain. self._client._validate_universe_domain() # 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.DiagnoseClusterResults, metadata_type=operations.ClusterOperationMetadata, ) # Done; return the response. return response
[docs] async def list_operations( self, request: Optional[operations_pb2.ListOperationsRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operations_pb2.ListOperationsResponse: r"""Lists operations that match the specified filter in the request. Args: request (:class:`~.operations_pb2.ListOperationsRequest`): The request object. Request message for `ListOperations` method. retry (google.api_core.retry_async.AsyncRetry): 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: ~.operations_pb2.ListOperationsResponse: Response message for ``ListOperations`` method. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = operations_pb2.ListOperationsRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.list_operations] # 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),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def get_operation( self, request: Optional[operations_pb2.GetOperationRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> operations_pb2.Operation: r"""Gets the latest state of a long-running operation. Args: request (:class:`~.operations_pb2.GetOperationRequest`): The request object. Request message for `GetOperation` method. retry (google.api_core.retry_async.AsyncRetry): 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: ~.operations_pb2.Operation: An ``Operation`` object. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = operations_pb2.GetOperationRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.get_operation] # 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),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def delete_operation( self, request: Optional[operations_pb2.DeleteOperationRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Args: request (:class:`~.operations_pb2.DeleteOperationRequest`): The request object. Request message for `DeleteOperation` method. retry (google.api_core.retry_async.AsyncRetry): 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: None """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = operations_pb2.DeleteOperationRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.delete_operation] # 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),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. await rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] async def cancel_operation( self, request: Optional[operations_pb2.CancelOperationRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> None: r"""Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Args: request (:class:`~.operations_pb2.CancelOperationRequest`): The request object. Request message for `CancelOperation` method. retry (google.api_core.retry_async.AsyncRetry): 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: None """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = operations_pb2.CancelOperationRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.cancel_operation] # 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),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. await rpc( request, retry=retry, timeout=timeout, metadata=metadata, )
[docs] async def set_iam_policy( self, request: Optional[iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> policy_pb2.Policy: r"""Sets the IAM access control policy on the specified function. Replaces any existing policy. Args: request (:class:`~.iam_policy_pb2.SetIamPolicyRequest`): The request object. Request message for `SetIamPolicy` method. retry (google.api_core.retry_async.AsyncRetry): 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: ~.policy_pb2.Policy: Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A ``Policy`` is a collection of ``bindings``. A ``binding`` binds one or more ``members`` to a single ``role``. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A ``role`` is a named list of permissions (defined by IAM or configured by users). A ``binding`` can optionally specify a ``condition``, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ] } **YAML Example** :: bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') For a description of IAM and its features, see the `IAM developer's guide <https://cloud.google.com/iam/docs>`__. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = iam_policy_pb2.SetIamPolicyRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.set_iam_policy] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def get_iam_policy( self, request: Optional[iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> policy_pb2.Policy: r"""Gets the IAM access control policy for a function. Returns an empty policy if the function exists and does not have a policy set. Args: request (:class:`~.iam_policy_pb2.GetIamPolicyRequest`): The request object. Request message for `GetIamPolicy` method. retry (google.api_core.retry_async.AsyncRetry): 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: ~.policy_pb2.Policy: Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A ``Policy`` is a collection of ``bindings``. A ``binding`` binds one or more ``members`` to a single ``role``. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A ``role`` is a named list of permissions (defined by IAM or configured by users). A ``binding`` can optionally specify a ``condition``, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource. **JSON Example** :: { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": ["user:eve@example.com"], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ] } **YAML Example** :: bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') For a description of IAM and its features, see the `IAM developer's guide <https://cloud.google.com/iam/docs>`__. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = iam_policy_pb2.GetIamPolicyRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[self._client._transport.get_iam_policy] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
[docs] async def test_iam_permissions( self, request: Optional[iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: OptionalRetry = gapic_v1.method.DEFAULT, timeout: Union[float, object] = gapic_v1.method.DEFAULT, metadata: Sequence[Tuple[str, str]] = (), ) -> iam_policy_pb2.TestIamPermissionsResponse: r"""Tests the specified IAM permissions against the IAM access control policy for a function. If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error. Args: request (:class:`~.iam_policy_pb2.TestIamPermissionsRequest`): The request object. Request message for `TestIamPermissions` method. retry (google.api_core.retry_async.AsyncRetry): 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: ~.iam_policy_pb2.TestIamPermissionsResponse: Response message for ``TestIamPermissions`` method. """ # Create or coerce a protobuf request object. # The request isn't a proto-plus wrapped type, # so it must be constructed via keyword expansion. if isinstance(request, dict): request = iam_policy_pb2.TestIamPermissionsRequest(**request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self.transport._wrapped_methods[ self._client._transport.test_iam_permissions ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("resource", request.resource),)), ) # Validate the universe domain. self._client._validate_universe_domain() # Send the request. response = await rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response
async def __aenter__(self) -> "ClusterControllerAsyncClient": return self async def __aexit__(self, exc_type, exc, tb): await self.transport.close()
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( gapic_version=package_version.__version__ ) __all__ = ("ClusterControllerAsyncClient",)