Class CloudTasksClient (2.10.4)

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CloudTasksClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.tasks_v2beta2.services.cloud_tasks.transports.base.CloudTasksTransport]] = None, client_options: 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.

Inheritance

builtins.object > CloudTasksClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
CloudTasksTransportThe transport used by the client instance.

Methods

CloudTasksClient

CloudTasksClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.tasks_v2beta2.services.cloud_tasks.transports.base.CloudTasksTransport]] = None, client_options: 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 client.

Parameters
NameDescription
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 Union[str, CloudTasksTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options google.api_core.client_options.ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

acknowledge_task

acknowledge_task(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.AcknowledgeTaskRequest, dict]] = None, *, name: Optional[str] = None, schedule_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Acknowledges a pull task.

The worker, that is, the entity that xref_leased this task must call this method to indicate that the work associated with the task has finished.

The worker must acknowledge a task within the xref_lease_duration or the lease will expire and the task will become available to be leased again. After the task is acknowledged, it will not be returned by a later xref_LeaseTasks, xref_GetTask, or xref_ListTasks.

# 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_v2beta2

def sample_acknowledge_task():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.AcknowledgeTaskRequest(
        name="name_value",
    )

    # Make the request
    client.acknowledge_task(request=request)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.types.AcknowledgeTaskRequest, dict]

The request object. Request message for acknowledging a task using AcknowledgeTask.

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.

schedule_time google.protobuf.timestamp_pb2.Timestamp

Required. The task's current schedule time, available in the schedule_time returned by LeaseTasks response or RenewLease response. This restriction is to ensure that your worker currently holds the lease. This corresponds to the schedule_time field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

cancel_lease

cancel_lease(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.CancelLeaseRequest, dict]] = None, *, name: Optional[str] = None, schedule_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Cancel a pull task's lease.

The worker can use this method to cancel a task's lease by setting its xref_schedule_time to now. This will make the task available to be leased to the next caller of xref_LeaseTasks.

# 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_v2beta2

def sample_cancel_lease():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.CancelLeaseRequest(
        name="name_value",
    )

    # Make the request
    response = client.cancel_lease(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.types.CancelLeaseRequest, dict]

The request object. Request message for canceling a lease using CancelLease.

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.

schedule_time google.protobuf.timestamp_pb2.Timestamp

Required. The task's current schedule time, available in the schedule_time returned by LeaseTasks response or RenewLease response. This restriction is to ensure that your worker currently holds the lease. This corresponds to the schedule_time field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.TaskA unit of scheduled work.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_queue

create_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.CreateQueueRequest, dict]] = None, *, parent: Optional[str] = None, queue: Optional[google.cloud.tasks_v2beta2.types.queue.Queue] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_create_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.CreateQueueRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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 google.cloud.tasks_v2beta2.types.Queue

Required. The queue to create. [Queue's name][google.cloud.tasks.v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.

create_task

create_task(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.CreateTaskRequest, dict]] = None, *, parent: Optional[str] = None, task: Optional[google.cloud.tasks_v2beta2.types.task.Task] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates a task and adds it to a queue.

Tasks cannot be updated after creation; there is no UpdateTask command.

  • For [App Engine queues][google.cloud.tasks.v2beta2.AppEngineHttpTarget], the maximum task size is 100KB.
  • For xref_pull queues, the maximum task size is 1MB.
# 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_v2beta2

def sample_create_task():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.CreateTaskRequest(
        parent="parent_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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 google.cloud.tasks_v2beta2.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 completed 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 completed. 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 completed. 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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.TaskA unit of scheduled work.

delete_queue

delete_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.DeleteQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_delete_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.DeleteQueueRequest(
        name="name_value",
    )

    # Make the request
    client.delete_queue(request=request)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

delete_task

delete_task(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.DeleteTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes a task. A task can be deleted if it is scheduled or dispatched. A task cannot be deleted if it has completed 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_v2beta2

def sample_delete_task():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.DeleteTaskRequest(
        name="name_value",
    )

    # Make the request
    client.delete_task(request=request)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

from_service_account_file

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

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
CloudTasksClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
CloudTasksClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
CloudTasksClientThe constructed client.

get_iam_policy

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

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_v2beta2
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_get_iam_policy():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.iam.v1.policy_pb2.PolicyAn 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:** { "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:**="" 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:" 3="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="" [iam="" documentation](\="">

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_queue

get_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.GetQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_get_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.GetQueueRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.

get_task

get_task(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.GetTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_get_task():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.GetTaskRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.TaskA unit of scheduled work.

lease_tasks

lease_tasks(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.LeaseTasksRequest, dict]] = None, *, parent: Optional[str] = None, lease_duration: Optional[google.protobuf.duration_pb2.Duration] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Leases tasks from a pull queue for xref_lease_duration.

This method is invoked by the worker to obtain a lease. The worker must acknowledge the task via xref_AcknowledgeTask after they have performed the work associated with the task.

The xref_payload is intended to store data that the worker needs to perform the work associated with the task. To return the payloads in the xref_response, set xref_response_view to xref_FULL.

A maximum of 10 qps of xref_LeaseTasks requests are allowed per queue. RESOURCE_EXHAUSTED][google.rpc.Code.RESOURCE_EXHAUSTED] is returned when this limit is exceeded. RESOURCE_EXHAUSTED][google.rpc.Code.RESOURCE_EXHAUSTED] is also returned when xref_max_tasks_dispatched_per_second is exceeded.

# 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_v2beta2

def sample_lease_tasks():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.LeaseTasksRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.lease_tasks(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.types.LeaseTasksRequest, dict]

The request object. Request message for leasing tasks using LeaseTasks.

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.

lease_duration google.protobuf.duration_pb2.Duration

Required. The duration of the lease. Each task returned in the response will have its schedule_time set to the current time plus the lease_duration. The task is leased until its schedule_time; thus, the task will not be returned to another LeaseTasks call before its schedule_time. After the worker has successfully finished the work associated with the task, the worker must call via AcknowledgeTask before the schedule_time. Otherwise the task will be returned to a later LeaseTasks call so that another worker can retry it. The maximum lease duration is 1 week. lease_duration will be truncated to the nearest second. This corresponds to the lease_duration field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.LeaseTasksResponseResponse message for leasing tasks using LeaseTasks.

list_queues

list_queues(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.ListQueuesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_list_queues():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.ListQueuesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.services.cloud_tasks.pagers.ListQueuesPagerResponse message for ListQueues. Iterating over this object will yield results and resolve additional pages automatically.

list_tasks

list_tasks(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.ListTasksRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_list_tasks():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.ListTasksRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.services.cloud_tasks.pagers.ListTasksPagerResponse 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)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_queue_path

parse_queue_path(path: str)

Parses a queue path into its component segments.

parse_task_path

parse_task_path(path: str)

Parses a task path into its component segments.

pause_queue

pause_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.PauseQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_pause_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.PauseQueueRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.

purge_queue

purge_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.PurgeQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_purge_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.PurgeQueueRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.

queue_path

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

Returns a fully-qualified queue string.

renew_lease

renew_lease(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.RenewLeaseRequest, dict]] = None, *, name: Optional[str] = None, schedule_time: Optional[google.protobuf.timestamp_pb2.Timestamp] = None, lease_duration: Optional[google.protobuf.duration_pb2.Duration] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Renew the current lease of a pull task.

The worker can use this method to extend the lease by a new duration, starting from now. The new task lease will be returned in the task's xref_schedule_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_v2beta2

def sample_renew_lease():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.RenewLeaseRequest(
        name="name_value",
    )

    # Make the request
    response = client.renew_lease(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.types.RenewLeaseRequest, dict]

The request object. Request message for renewing a lease using RenewLease.

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.

schedule_time google.protobuf.timestamp_pb2.Timestamp

Required. The task's current schedule time, available in the schedule_time returned by LeaseTasks response or RenewLease response. This restriction is to ensure that your worker currently holds the lease. This corresponds to the schedule_time field on the request instance; if request is provided, this should not be set.

lease_duration google.protobuf.duration_pb2.Duration

Required. The desired new lease duration, starting from now. The maximum lease duration is 1 week. lease_duration will be truncated to the nearest second. This corresponds to the lease_duration field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.TaskA unit of scheduled work.

resume_queue

resume_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.ResumeQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_resume_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.ResumeQueueRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.

run_task

run_task(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.RunTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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 xref_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.

xref_RunTask cannot be called on a [pull task][google.cloud.tasks.v2beta2.PullMessage].

# 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_v2beta2

def sample_run_task():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.RunTaskRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.TaskA unit of scheduled work.

set_iam_policy

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

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_v2beta2
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_set_iam_policy():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.iam.v1.policy_pb2.PolicyAn 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:** { "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:**="" 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:" 3="" for="" a="" description="" of="" iam="" and="" its="" features,="" see="" the="" [iam="" documentation](\="">

task_path

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

Returns a fully-qualified task string.

test_iam_permissions

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

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_v2beta2
from google.iam.v1 import iam_policy_pb2  # type: ignore

def sample_test_iam_permissions():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request 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 Sequence[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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.iam.v1.iam_policy_pb2.TestIamPermissionsResponseResponse message for TestIamPermissions method.

update_queue

update_queue(request: Optional[Union[google.cloud.tasks_v2beta2.types.cloudtasks.UpdateQueueRequest, dict]] = None, *, queue: Optional[google.cloud.tasks_v2beta2.types.queue.Queue] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

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_v2beta2

def sample_update_queue():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.UpdateQueueRequest(
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.tasks_v2beta2.types.UpdateQueueRequest, dict]

The request object. Request message for UpdateQueue.

queue google.cloud.tasks_v2beta2.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. 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.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.tasks_v2beta2.types.QueueA queue is a container of related tasks. Queues are configured to manage how those tasks are dispatched. Configurable properties include rate limits, retry options, target types, and others.