# -*- coding: utf-8 -*- # # Copyright 2020 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 # # https://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. """Accesses the google.cloud.tasks.v2 CloudTasks API.""" import functools import pkg_resources import warnings from google.oauth2 import service_account import google.api_core.client_options import google.api_core.gapic_v1.client_info import google.api_core.gapic_v1.config import google.api_core.gapic_v1.method import google.api_core.gapic_v1.routing_header import google.api_core.grpc_helpers import google.api_core.page_iterator import google.api_core.path_template import grpc from google.cloud.tasks_v2.gapic import cloud_tasks_client_config from google.cloud.tasks_v2.gapic import enums from google.cloud.tasks_v2.gapic.transports import cloud_tasks_grpc_transport from google.cloud.tasks_v2.proto import cloudtasks_pb2 from google.cloud.tasks_v2.proto import cloudtasks_pb2_grpc from google.cloud.tasks_v2.proto import queue_pb2 from google.cloud.tasks_v2.proto import task_pb2 from google.iam.v1 import iam_policy_pb2 from google.iam.v1 import options_pb2 from google.iam.v1 import policy_pb2 from google.protobuf import empty_pb2 from google.protobuf import field_mask_pb2 _GAPIC_LIBRARY_VERSION = pkg_resources.get_distribution("google-cloud-tasks").version class CloudTasksClient(object): """ Cloud Tasks allows developers to manage the execution of background work in their applications. """ SERVICE_ADDRESS = "cloudtasks.googleapis.com:443" """The default address of the service.""" # The name of the interface for this client. This is the key used to # find the method configuration in the client_config dictionary. _INTERFACE_NAME = "google.cloud.tasks.v2.CloudTasks" @classmethod def from_service_account_file(cls, filename, *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: CloudTasksClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_file(filename) kwargs["credentials"] = credentials return cls(*args, **kwargs) from_service_account_json = from_service_account_file @classmethod def location_path(cls, project, location): """Return a fully-qualified location string.""" return google.api_core.path_template.expand( "projects/{project}/locations/{location}", project=project, location=location, ) @classmethod def queue_path(cls, project, location, queue): """Return a fully-qualified queue string.""" return google.api_core.path_template.expand( "projects/{project}/locations/{location}/queues/{queue}", project=project, location=location, queue=queue, ) @classmethod def task_path(cls, project, location, queue, task): """Return a fully-qualified task string.""" return google.api_core.path_template.expand( "projects/{project}/locations/{location}/queues/{queue}/tasks/{task}", project=project, location=location, queue=queue, task=task, ) def __init__( self, transport=None, channel=None, credentials=None, client_config=None, client_info=None, client_options=None, ): """Constructor. Args: transport (Union[~.CloudTasksGrpcTransport, Callable[[~.Credentials, type], ~.CloudTasksGrpcTransport]): A transport instance, responsible for actually making the API calls. The default transport uses the gRPC protocol. This argument may also be a callable which returns a transport instance. Callables will be sent the credentials as the first argument and the default transport class as the second argument. channel (grpc.Channel): DEPRECATED. A ``Channel`` instance through which to make calls. This argument is mutually exclusive with ``credentials``; providing both will raise an exception. credentials (google.auth.credentials.Credentials): The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to ``transport``; doing so will raise an exception. client_config (dict): DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. 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. client_options (Union[dict, google.api_core.client_options.ClientOptions]): Client options used to set user options on the client. API Endpoint should be set through client_options. """ # Raise deprecation warnings for things we want to go away. if client_config is not None: warnings.warn( "The `client_config` argument is deprecated.", PendingDeprecationWarning, stacklevel=2, ) else: client_config = cloud_tasks_client_config.config if channel: warnings.warn( "The `channel` argument is deprecated; use " "`transport` instead.", PendingDeprecationWarning, stacklevel=2, ) api_endpoint = self.SERVICE_ADDRESS if client_options: if type(client_options) == dict: client_options = google.api_core.client_options.from_dict( client_options ) if client_options.api_endpoint: api_endpoint = client_options.api_endpoint # Instantiate the transport. # The transport is responsible for handling serialization and # deserialization and actually sending data to the service. if transport: if callable(transport): self.transport = transport( credentials=credentials, default_class=cloud_tasks_grpc_transport.CloudTasksGrpcTransport, address=api_endpoint, ) else: if credentials: raise ValueError( "Received both a transport instance and " "credentials; these are mutually exclusive." ) self.transport = transport else: self.transport = cloud_tasks_grpc_transport.CloudTasksGrpcTransport( address=api_endpoint, channel=channel, credentials=credentials ) if client_info is None: client_info = google.api_core.gapic_v1.client_info.ClientInfo( gapic_version=_GAPIC_LIBRARY_VERSION ) else: client_info.gapic_version = _GAPIC_LIBRARY_VERSION self._client_info = client_info # Parse out the default settings for retry and timeout for each RPC # from the client configuration. # (Ordinarily, these are the defaults specified in the `*_config.py` # file next to this one.) self._method_configs = google.api_core.gapic_v1.config.parse_method_configs( client_config["interfaces"][self._INTERFACE_NAME] ) # Save a dictionary of cached API call functions. # These are the actual callables which invoke the proper # transport methods, wrapped with `wrap_method` to add retry, # timeout, and the like. self._inner_api_calls = {} # Service calls def list_queues( self, parent, filter_=None, page_size=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Lists queues. Queues are returned in lexicographical order. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> parent = client.location_path('[PROJECT]', '[LOCATION]') >>> >>> # Iterate over all results >>> for element in client.list_queues(parent): ... # process element ... pass >>> >>> >>> # Alternatively: >>> >>> # Iterate over results one page at a time >>> for page in client.list_queues(parent).pages: ... for element in page: ... # process element ... pass Args: parent (str): Required. The location name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID`` filter_ (str): ``filter`` can be used to specify a subset of queues. Any ``Queue`` field can be used as a filter and several operators as supported. For example: ``<=, <, >=, >, !=, =, :``. The filter syntax is the same as described in `Stackdriver's Advanced Logs Filters `__. Sample filter "state: PAUSED". Note that using filters might cause fewer queues than the requested page\_size to be returned. page_size (int): The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.api_core.page_iterator.PageIterator` instance. An iterable of :class:`~google.cloud.tasks_v2.types.Queue` instances. You can also iterate over the pages of the response using its `pages` property. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "list_queues" not in self._inner_api_calls: self._inner_api_calls[ "list_queues" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.list_queues, default_retry=self._method_configs["ListQueues"].retry, default_timeout=self._method_configs["ListQueues"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.ListQueuesRequest( parent=parent, filter=filter_, page_size=page_size ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) iterator = google.api_core.page_iterator.GRPCIterator( client=None, method=functools.partial( self._inner_api_calls["list_queues"], retry=retry, timeout=timeout, metadata=metadata, ), request=request, items_field="queues", request_token_field="page_token", response_token_field="next_page_token", ) return iterator def get_queue( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Gets a queue. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> response = client.get_queue(name) Args: name (str): Required. The resource name of the queue. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "get_queue" not in self._inner_api_calls: self._inner_api_calls[ "get_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.get_queue, default_retry=self._method_configs["GetQueue"].retry, default_timeout=self._method_configs["GetQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.GetQueueRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["get_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def create_queue( self, parent, queue, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Creates a queue. Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not. WARNING: Using this method may have unintended side effects if you are using an App Engine ``queue.yaml`` or ``queue.xml`` file to manage your queues. Read `Overview of Queue Management and queue.yaml `__ before using this method. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> parent = client.location_path('[PROJECT]', '[LOCATION]') >>> >>> # TODO: Initialize `queue`: >>> queue = {} >>> >>> response = client.create_queue(parent, queue) Args: parent (str): Required. The location name in which the queue will be created. For example: ``projects/PROJECT_ID/locations/LOCATION_ID`` The list of allowed locations can be obtained by calling Cloud Tasks' implementation of ``ListLocations``. queue (Union[dict, ~google.cloud.tasks_v2.types.Queue]): Required. The queue to create. ``Queue's name`` cannot be the same as an existing queue. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.Queue` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "create_queue" not in self._inner_api_calls: self._inner_api_calls[ "create_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.create_queue, default_retry=self._method_configs["CreateQueue"].retry, default_timeout=self._method_configs["CreateQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.CreateQueueRequest(parent=parent, queue=queue) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["create_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def update_queue( self, queue, update_mask=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Updates a queue. This method creates the queue if it does not exist and updates the queue if it does exist. Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not. WARNING: Using this method may have unintended side effects if you are using an App Engine ``queue.yaml`` or ``queue.xml`` file to manage your queues. Read `Overview of Queue Management and queue.yaml `__ before using this method. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> # TODO: Initialize `queue`: >>> queue = {} >>> >>> response = client.update_queue(queue) Args: queue (Union[dict, ~google.cloud.tasks_v2.types.Queue]): Required. The queue to create or update. The queue's ``name`` must be specified. Output only fields cannot be modified using UpdateQueue. Any value specified for an output only field will be ignored. The queue's ``name`` cannot be changed. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.Queue` update_mask (Union[dict, ~google.cloud.tasks_v2.types.FieldMask]): A mask used to specify which fields of the queue are being updated. If empty, then all fields will be updated. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.FieldMask` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "update_queue" not in self._inner_api_calls: self._inner_api_calls[ "update_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.update_queue, default_retry=self._method_configs["UpdateQueue"].retry, default_timeout=self._method_configs["UpdateQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.UpdateQueueRequest( queue=queue, update_mask=update_mask ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("queue.name", queue.name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["update_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def delete_queue( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Deletes a queue. This command will delete the queue even if it has tasks in it. Note: If you delete a queue, a queue with the same name can't be created for 7 days. WARNING: Using this method may have unintended side effects if you are using an App Engine ``queue.yaml`` or ``queue.xml`` file to manage your queues. Read `Overview of Queue Management and queue.yaml `__ before using this method. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> client.delete_queue(name) Args: name (str): Required. The queue name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "delete_queue" not in self._inner_api_calls: self._inner_api_calls[ "delete_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.delete_queue, default_retry=self._method_configs["DeleteQueue"].retry, default_timeout=self._method_configs["DeleteQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.DeleteQueueRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) self._inner_api_calls["delete_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def purge_queue( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Purges a queue by deleting all of its tasks. All tasks created before this method is called are permanently deleted. Purge operations can take up to one minute to take effect. Tasks might be dispatched before the purge takes effect. A purge is irreversible. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> response = client.purge_queue(name) Args: name (str): Required. The queue name. For example: ``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "purge_queue" not in self._inner_api_calls: self._inner_api_calls[ "purge_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.purge_queue, default_retry=self._method_configs["PurgeQueue"].retry, default_timeout=self._method_configs["PurgeQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.PurgeQueueRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["purge_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def pause_queue( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Pauses the queue. If a queue is paused then the system will stop dispatching tasks until the queue is resumed via ``ResumeQueue``. Tasks can still be added when the queue is paused. A queue is paused if its ``state`` is ``PAUSED``. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> response = client.pause_queue(name) Args: name (str): Required. The queue name. For example: ``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "pause_queue" not in self._inner_api_calls: self._inner_api_calls[ "pause_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.pause_queue, default_retry=self._method_configs["PauseQueue"].retry, default_timeout=self._method_configs["PauseQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.PauseQueueRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["pause_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def resume_queue( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Resume a queue. This method resumes a queue after it has been ``PAUSED`` or ``DISABLED``. The state of a queue is stored in the queue's ``state``; after calling this method it will be set to ``RUNNING``. WARNING: Resuming many high-QPS queues at the same time can lead to target overloading. If you are resuming high-QPS queues, follow the 500/50/5 pattern described in `Managing Cloud Tasks Scaling Risks `__. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> response = client.resume_queue(name) Args: name (str): Required. The queue name. For example: ``projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Queue` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "resume_queue" not in self._inner_api_calls: self._inner_api_calls[ "resume_queue" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.resume_queue, default_retry=self._method_configs["ResumeQueue"].retry, default_timeout=self._method_configs["ResumeQueue"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.ResumeQueueRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["resume_queue"]( request, retry=retry, timeout=timeout, metadata=metadata ) def get_iam_policy( self, resource, options_=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Gets the access control policy for a ``Queue``. Returns an empty policy if the resource exists and does not have a policy set. Authorization requires the following `Google IAM `__ permission on the specified resource parent: - ``cloudtasks.queues.getIamPolicy`` Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> # TODO: Initialize `resource`: >>> resource = '' >>> >>> response = client.get_iam_policy(resource) Args: resource (str): REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. options_ (Union[dict, ~google.cloud.tasks_v2.types.GetPolicyOptions]): OPTIONAL: A ``GetPolicyOptions`` object for specifying options to ``GetIamPolicy``. This field is only used by Cloud IAM. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.GetPolicyOptions` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Policy` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "get_iam_policy" not in self._inner_api_calls: self._inner_api_calls[ "get_iam_policy" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.get_iam_policy, default_retry=self._method_configs["GetIamPolicy"].retry, default_timeout=self._method_configs["GetIamPolicy"].timeout, client_info=self._client_info, ) request = iam_policy_pb2.GetIamPolicyRequest( resource=resource, options=options_ ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("resource", resource)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["get_iam_policy"]( request, retry=retry, timeout=timeout, metadata=metadata ) def set_iam_policy( self, resource, policy, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Sets the access control policy for a ``Queue``. Replaces any existing policy. Note: The Cloud Console does not check queue-level IAM permissions yet. Project-level permissions are required to use the Cloud Console. Authorization requires the following `Google IAM `__ permission on the specified resource parent: - ``cloudtasks.queues.setIamPolicy`` Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> # TODO: Initialize `resource`: >>> resource = '' >>> >>> # TODO: Initialize `policy`: >>> policy = {} >>> >>> response = client.set_iam_policy(resource, policy) Args: resource (str): REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. policy (Union[dict, ~google.cloud.tasks_v2.types.Policy]): REQUIRED: The complete policy to be applied to the ``resource``. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Cloud Platform services (such as Projects) might reject them. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.Policy` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Policy` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "set_iam_policy" not in self._inner_api_calls: self._inner_api_calls[ "set_iam_policy" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.set_iam_policy, default_retry=self._method_configs["SetIamPolicy"].retry, default_timeout=self._method_configs["SetIamPolicy"].timeout, client_info=self._client_info, ) request = iam_policy_pb2.SetIamPolicyRequest(resource=resource, policy=policy) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("resource", resource)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["set_iam_policy"]( request, retry=retry, timeout=timeout, metadata=metadata ) def test_iam_permissions( self, resource, permissions, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Returns permissions that a caller has on a ``Queue``. If the resource does not exist, this will return an empty set of permissions, not a ``NOT_FOUND`` error. Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> # TODO: Initialize `resource`: >>> resource = '' >>> >>> # TODO: Initialize `permissions`: >>> permissions = [] >>> >>> response = client.test_iam_permissions(resource, permissions) Args: resource (str): REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field. permissions (list[str]): The set of permissions to check for the ``resource``. Permissions with wildcards (such as '*' or 'storage.*') are not allowed. For more information see `IAM Overview `__. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.TestIamPermissionsResponse` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "test_iam_permissions" not in self._inner_api_calls: self._inner_api_calls[ "test_iam_permissions" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.test_iam_permissions, default_retry=self._method_configs["TestIamPermissions"].retry, default_timeout=self._method_configs["TestIamPermissions"].timeout, client_info=self._client_info, ) request = iam_policy_pb2.TestIamPermissionsRequest( resource=resource, permissions=permissions ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("resource", resource)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["test_iam_permissions"]( request, retry=retry, timeout=timeout, metadata=metadata ) def list_tasks( self, parent, response_view=None, page_size=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Lists the tasks in a queue. By default, only the ``BASIC`` view is retrieved due to performance considerations; ``response_view`` controls the subset of information which is returned. The tasks may be returned in any order. The ordering may change at any time. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> parent = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> # Iterate over all results >>> for element in client.list_tasks(parent): ... # process element ... pass >>> >>> >>> # Alternatively: >>> >>> # Iterate over results one page at a time >>> for page in client.list_tasks(parent).pages: ... for element in page: ... # process element ... pass Args: parent (str): Required. The queue name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID`` response_view (~google.cloud.tasks_v2.enums.Task.View): The response\_view specifies which subset of the ``Task`` will be returned. By default response\_view is ``BASIC``; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains. Authorization for ``FULL`` requires ``cloudtasks.tasks.fullView`` `Google IAM `___ permission on the ``Task`` resource. page_size (int): The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.api_core.page_iterator.PageIterator` instance. An iterable of :class:`~google.cloud.tasks_v2.types.Task` instances. You can also iterate over the pages of the response using its `pages` property. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "list_tasks" not in self._inner_api_calls: self._inner_api_calls[ "list_tasks" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.list_tasks, default_retry=self._method_configs["ListTasks"].retry, default_timeout=self._method_configs["ListTasks"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.ListTasksRequest( parent=parent, response_view=response_view, page_size=page_size ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) iterator = google.api_core.page_iterator.GRPCIterator( client=None, method=functools.partial( self._inner_api_calls["list_tasks"], retry=retry, timeout=timeout, metadata=metadata, ), request=request, items_field="tasks", request_token_field="page_token", response_token_field="next_page_token", ) return iterator def get_task( self, name, response_view=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Gets a task. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]') >>> >>> response = client.get_task(name) Args: name (str): Required. The task name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID`` response_view (~google.cloud.tasks_v2.enums.Task.View): The response\_view specifies which subset of the ``Task`` will be returned. By default response\_view is ``BASIC``; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains. Authorization for ``FULL`` requires ``cloudtasks.tasks.fullView`` `Google IAM `___ permission on the ``Task`` resource. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Task` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "get_task" not in self._inner_api_calls: self._inner_api_calls[ "get_task" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.get_task, default_retry=self._method_configs["GetTask"].retry, default_timeout=self._method_configs["GetTask"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.GetTaskRequest(name=name, response_view=response_view) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["get_task"]( request, retry=retry, timeout=timeout, metadata=metadata ) def create_task( self, parent, task, response_view=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Creates a task and adds it to a queue. Tasks cannot be updated after creation; there is no UpdateTask command. - The maximum task size is 100KB. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> parent = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]') >>> >>> # TODO: Initialize `task`: >>> task = {} >>> >>> response = client.create_task(parent, task) Args: parent (str): Required. The queue name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID`` The queue must already exist. task (Union[dict, ~google.cloud.tasks_v2.types.Task]): Required. The task to add. Task names have the following format: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID``. The user can optionally specify a task ``name``. If a name is not specified then the system will generate a random unique task id, which will be set in the task returned in the ``response``. If ``schedule_time`` is not set or is in the past then Cloud Tasks will set it to the current time. Task De-duplication: Explicitly specifying a task ID enables task de-duplication. If a task's ID is identical to that of an existing task or a task that was deleted or executed recently then the call will fail with ``ALREADY_EXISTS``. If the task's queue was created using Cloud Tasks, then another task with the same name can't be created for ~1hour after the original task was deleted or executed. If the task's queue was created using queue.yaml or queue.xml, then another task with the same name can't be created for ~9days after the original task was deleted or executed. Because there is an extra lookup cost to identify duplicate task names, these ``CreateTask`` calls have significantly increased latency. Using hashed strings for the task id or for the prefix of the task id is recommended. Choosing task ids that are sequential or have sequential prefixes, for example using a timestamp, causes an increase in latency and error rates in all task commands. The infrastructure relies on an approximately uniform distribution of task ids to store and serve tasks efficiently. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.tasks_v2.types.Task` response_view (~google.cloud.tasks_v2.enums.Task.View): The response\_view specifies which subset of the ``Task`` will be returned. By default response\_view is ``BASIC``; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains. Authorization for ``FULL`` requires ``cloudtasks.tasks.fullView`` `Google IAM `___ permission on the ``Task`` resource. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Task` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "create_task" not in self._inner_api_calls: self._inner_api_calls[ "create_task" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.create_task, default_retry=self._method_configs["CreateTask"].retry, default_timeout=self._method_configs["CreateTask"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.CreateTaskRequest( parent=parent, task=task, response_view=response_view ) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("parent", parent)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["create_task"]( request, retry=retry, timeout=timeout, metadata=metadata ) def delete_task( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Deletes a task. A task can be deleted if it is scheduled or dispatched. A task cannot be deleted if it has executed successfully or permanently failed. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]') >>> >>> client.delete_task(name) Args: name (str): Required. The task name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "delete_task" not in self._inner_api_calls: self._inner_api_calls[ "delete_task" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.delete_task, default_retry=self._method_configs["DeleteTask"].retry, default_timeout=self._method_configs["DeleteTask"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.DeleteTaskRequest(name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) self._inner_api_calls["delete_task"]( request, retry=retry, timeout=timeout, metadata=metadata ) def run_task( self, name, response_view=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Forces a task to run now. When this method is called, Cloud Tasks will dispatch the task, even if the task is already running, the queue has reached its ``RateLimits`` or is ``PAUSED``. This command is meant to be used for manual debugging. For example, ``RunTask`` can be used to retry a failed task after a fix has been made or to manually force a task to be dispatched now. The dispatched task is returned. That is, the task that is returned contains the ``status`` after the task is dispatched but before the task is received by its target. If Cloud Tasks receives a successful response from the task's target, then the task will be deleted; otherwise the task's ``schedule_time`` will be reset to the time that ``RunTask`` was called plus the retry delay specified in the queue's ``RetryConfig``. ``RunTask`` returns ``NOT_FOUND`` when it is called on a task that has already succeeded or permanently failed. Example: >>> from google.cloud import tasks_v2 >>> >>> client = tasks_v2.CloudTasksClient() >>> >>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]') >>> >>> response = client.run_task(name) Args: name (str): Required. The task name. For example: ``projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID`` response_view (~google.cloud.tasks_v2.enums.Task.View): The response\_view specifies which subset of the ``Task`` will be returned. By default response\_view is ``BASIC``; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains. Authorization for ``FULL`` requires ``cloudtasks.tasks.fullView`` `Google IAM `___ permission on the ``Task`` resource. retry (Optional[google.api_core.retry.Retry]): A retry object used to retry client library requests. If ``None`` is specified, requests will be retried using a default configuration. timeout (Optional[float]): The amount of time, in seconds, to wait for the client library request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the client library method. Returns: A :class:`~google.cloud.tasks_v2.types.Task` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if "run_task" not in self._inner_api_calls: self._inner_api_calls[ "run_task" ] = google.api_core.gapic_v1.method.wrap_method( self.transport.run_task, default_retry=self._method_configs["RunTask"].retry, default_timeout=self._method_configs["RunTask"].timeout, client_info=self._client_info, ) request = cloudtasks_pb2.RunTaskRequest(name=name, response_view=response_view) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header ) metadata.append(routing_metadata) return self._inner_api_calls["run_task"]( request, retry=retry, timeout=timeout, metadata=metadata )