Class CloudTasksAsyncClient (2.16.5) 

CloudTasksAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport, typing.Callable[[...], google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Cloud Tasks allows developers to manage the execution of background work in their applications.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
CloudTasksTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

CloudTasksAsyncClient

CloudTasksAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport, typing.Callable[[...], google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the cloud tasks async client.

Parameters
Name Description
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,CloudTasksTransport,Callable[..., CloudTasksTransport]]]

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 CloudTasksTransport 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.
Exceptions
Type Description
google.auth.exceptions.MutualTlsChannelError If mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_queue

create_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.CreateQueueRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    queue: typing.Optional[google.cloud.tasks_v2.types.queue.Queue] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

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 <https://cloud.google.com/tasks/docs/queue-yaml>__ before using this method.

# 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 tasks_v2

async def sample_create_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.CreateQueueRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.CreateQueueRequest, dict]]

The request object. Request message for CreateQueue.
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. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
queue Queue

Required. The queue to create. [Queue's name][google.cloud.tasks.v2.Queue.name] cannot be the same as an existing queue. This corresponds to the queue 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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.

create_task

create_task(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.CreateTaskRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    task: typing.Optional[google.cloud.tasks_v2.types.task.Task] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.task.Task

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.
# 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 tasks_v2

async def sample_create_task():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.CreateTaskRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_task(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.CreateTaskRequest, dict]]

The request object. Request message for CreateTask.
parent str

Required. The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID The queue must already exist. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
task 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][google.rpc.Code.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. This corresponds to the task 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
Type Description
google.cloud.tasks_v2.types.Task A unit of scheduled work.

delete_queue

delete_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.DeleteQueueRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> 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 <https://cloud.google.com/tasks/docs/queue-yaml>__ before using this method.

# 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 tasks_v2

async def sample_delete_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.DeleteQueueRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_queue(request=request)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.DeleteQueueRequest, dict]]

The request object. Request message for DeleteQueue.
name str

Required. The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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.

delete_task

delete_task(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.DeleteTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> 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.

# 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 tasks_v2

async def sample_delete_task():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.DeleteTaskRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_task(request=request)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.DeleteTaskRequest, dict]]

The request object. Request message for deleting a task using DeleteTask.
name str

Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
CloudTasksAsyncClient The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name Description
info dict

The service account private key info.
Returns
Type Description
CloudTasksAsyncClient The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
CloudTasksAsyncClient The constructed client.

get_iam_policy

get_iam_policy(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]
    ] = None,
    *,
    resource: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Gets the access control policy for a xref_Queue. Returns an empty policy if the resource exists and does not have a policy set.

Authorization requires the following Google IAM <https://cloud.google.com/iam>__ permission on the specified resource parent:

  • cloudtasks.queues.getIamPolicy
# 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 tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_get_iam_policy():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.GetIamPolicyRequest(
        resource="resource_value",
    )

    # Make the request
    response = await client.get_iam_policy(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]]

The request object. Request message for GetIamPolicy method.
resource str

REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. This corresponds to the resource 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
Type Description
google.iam.v1.policy_pb2.Policy An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A Policy is a collection of bindings. A binding binds one or more members, or principals, to a single role. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions; each role can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a binding can also specify a condition, which is a logical expression that allows access to a resource only if the expression evaluates to true. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** :literal:\ { "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')",="" }="" }="" ],="" "etag":="" "bwwwja0yfja=", " version":="" 3="">\ \ **YAML example:** :literal:\ 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')="" etag:="" bwwwja0yfja="version:">\ \ For a description of IAM and its features, see the [IAM documentation](\ https://cloud.google.com/iam/docs/).

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation 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
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.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.

Parameter
Name Description
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.
Exceptions
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_queue

get_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.GetQueueRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

Gets a queue.

# 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 tasks_v2

async def sample_get_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.GetQueueRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.GetQueueRequest, dict]]

The request object. Request message for GetQueue.
name str

Required. The resource name of the queue. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.

get_task

get_task(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.GetTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.task.Task

Gets a task.

# 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 tasks_v2

async def sample_get_task():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.GetTaskRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_task(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.GetTaskRequest, dict]]

The request object. Request message for getting a task using GetTask.
name str

Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Task A unit of scheduled work.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name Description
label typing.Optional[str]

The name of the desired transport. If none is provided, then the first transport in the registry is used.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations 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
Type Description
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_queues

list_queues(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.ListQueuesRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesAsyncPager

Lists queues.

Queues are returned in lexicographical order.

# 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 tasks_v2

async def sample_list_queues():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.ListQueuesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_queues(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.ListQueuesRequest, dict]]

The request object. Request message for ListQueues.
parent str

Required. The location name. For example: projects/PROJECT_ID/locations/LOCATION_ID This corresponds to the parent 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
Type Description
google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesAsyncPager Response message for ListQueues. Iterating over this object will yield results and resolve additional pages automatically.

list_tasks

list_tasks(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.ListTasksRequest, dict]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksAsyncPager

Lists the tasks in a queue.

By default, only the xref_BASIC view is retrieved due to performance considerations; xref_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.

# 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 tasks_v2

async def sample_list_tasks():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.ListTasksRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_tasks(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.ListTasksRequest, dict]]

The request object. Request message for listing tasks using ListTasks.
parent str

Required. The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID This corresponds to the parent 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
Type Description
google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksAsyncPager Response message for listing tasks using ListTasks. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_queue_path

parse_queue_path(path: str) -> typing.Dict[str, str]

Parses a queue path into its component segments.

parse_task_path

parse_task_path(path: str) -> typing.Dict[str, str]

Parses a task path into its component segments.

pause_queue

pause_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.PauseQueueRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

Pauses the queue.

If a queue is paused then the system will stop dispatching tasks until the queue is resumed via xref_ResumeQueue. Tasks can still be added when the queue is paused. A queue is paused if its xref_state is xref_PAUSED.

# 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 tasks_v2

async def sample_pause_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.PauseQueueRequest(
        name="name_value",
    )

    # Make the request
    response = await client.pause_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.PauseQueueRequest, dict]]

The request object. Request message for PauseQueue.
name str

Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.

purge_queue

purge_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.PurgeQueueRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

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.

# 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 tasks_v2

async def sample_purge_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.PurgeQueueRequest(
        name="name_value",
    )

    # Make the request
    response = await client.purge_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.PurgeQueueRequest, dict]]

The request object. Request message for PurgeQueue.
name str

Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.

queue_path

queue_path(project: str, location: str, queue: str) -> str

Returns a fully-qualified queue string.

resume_queue

resume_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.ResumeQueueRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

Resume a queue.

This method resumes a queue after it has been xref_PAUSED or xref_DISABLED. The state of a queue is stored in the queue's xref_state; after calling this method it will be set to xref_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 <https://cloud.google.com/tasks/docs/manage-cloud-task-scaling>__.

# 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 tasks_v2

async def sample_resume_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.ResumeQueueRequest(
        name="name_value",
    )

    # Make the request
    response = await client.resume_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.ResumeQueueRequest, dict]]

The request object. Request message for ResumeQueue.
name str

Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.

run_task

run_task(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.RunTaskRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.task.Task

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 xref_RateLimits or is xref_PAUSED.

This command is meant to be used for manual debugging. For example, xref_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][Task.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 xref_schedule_time will be reset to the time that xref_RunTask was called plus the retry delay specified in the queue's xref_RetryConfig.

xref_RunTask returns NOT_FOUND][google.rpc.Code.NOT_FOUND] when it is called on a task that has already succeeded or permanently failed.

# 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 tasks_v2

async def sample_run_task():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.RunTaskRequest(
        name="name_value",
    )

    # Make the request
    response = await client.run_task(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.RunTaskRequest, dict]]

The request object. Request message for forcing a task to run now using RunTask.
name str

Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry google.api_core.retry_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
Type Description
google.cloud.tasks_v2.types.Task A unit of scheduled work.

set_iam_policy

set_iam_policy(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]
    ] = None,
    *,
    resource: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.policy_pb2.Policy

Sets the access control policy for a xref_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 <https://cloud.google.com/iam>__ permission on the specified resource parent:

  • cloudtasks.queues.setIamPolicy
# 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 tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_set_iam_policy():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.SetIamPolicyRequest(
        resource="resource_value",
    )

    # Make the request
    response = await client.set_iam_policy(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]]

The request object. Request message for SetIamPolicy method.
resource str

REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. This corresponds to the resource 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
Type Description
google.iam.v1.policy_pb2.Policy An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A Policy is a collection of bindings. A binding binds one or more members, or principals, to a single role. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions; each role can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a binding can also specify a condition, which is a logical expression that allows access to a resource only if the expression evaluates to true. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](\ https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** :literal:\ { "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')",="" }="" }="" ],="" "etag":="" "bwwwja0yfja=", " version":="" 3="">\ \ **YAML example:** :literal:\ 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')="" etag:="" bwwwja0yfja="version:">\ \ For a description of IAM and its features, see the [IAM documentation](\ https://cloud.google.com/iam/docs/).

task_path

task_path(project: str, location: str, queue: str, task: str) -> str

Returns a fully-qualified task string.

test_iam_permissions

test_iam_permissions(
    request: typing.Optional[
        typing.Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]
    ] = None,
    *,
    resource: typing.Optional[str] = None,
    permissions: typing.Optional[typing.MutableSequence[str]] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

Returns permissions that a caller has on a xref_Queue. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND][google.rpc.Code.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.

# 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 tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

async def sample_test_iam_permissions():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = iam_policy_pb2.TestIamPermissionsRequest(
        resource="resource_value",
        permissions=['permissions_value1', 'permissions_value2'],
    )

    # Make the request
    response = await client.test_iam_permissions(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]]

The request object. Request message for TestIamPermissions method.
resource str

REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field. This corresponds to the resource field on the request instance; if request is provided, this should not be set.
permissions :class:MutableSequence[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 https://cloud.google.com/iam/docs/overview#permissions__. This corresponds to the permissions 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
Type Description
google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse Response message for TestIamPermissions method.

update_queue

update_queue(
    request: typing.Optional[
        typing.Union[google.cloud.tasks_v2.types.cloudtasks.UpdateQueueRequest, dict]
    ] = None,
    *,
    queue: typing.Optional[google.cloud.tasks_v2.types.queue.Queue] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.tasks_v2.types.queue.Queue

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 <https://cloud.google.com/tasks/docs/queue-yaml>__ before using this method.

# 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 tasks_v2

async def sample_update_queue():
    # Create a client
    client = tasks_v2.CloudTasksAsyncClient()

    # Initialize request argument(s)
    request = tasks_v2.UpdateQueueRequest(
    )

    # Make the request
    response = await client.update_queue(request=request)

    # Handle the response
    print(response)
Parameters
Name Description
request Optional[Union[google.cloud.tasks_v2.types.UpdateQueueRequest, dict]]

The request object. Request message for UpdateQueue.
queue 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. This corresponds to the queue field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

A mask used to specify which fields of the queue are being updated. If empty, then all fields will be updated. 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
Type Description
google.cloud.tasks_v2.types.Queue A queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, queue types, and others.