Class CloudTasksClient (2.17.1)

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

Return the API endpoint used by the client instance.

Returns the transport used by the client instance.

Return the universe domain used by the client instance.

Instantiates the cloud tasks client.

Releases underlying transport's resources.

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)

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)

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

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)

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)

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)

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)

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

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

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

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)

Gets information about a location.

Deprecated. 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.

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)

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)

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)

Lists information about the supported locations for this service.

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)

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)

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a queue path into its component segments.

Parses a task path into its component segments.

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)

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)

Returns a fully-qualified queue string.

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)

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)

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)

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)

Returns a fully-qualified task string.

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)

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)

Update queue list by uploading a queue.yaml file.

The queue.yaml file is supplied in the request body as a YAML encoded string. This method was added to support gcloud clients versions before 322.0.0. New clients should use CreateQueue instead of 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_upload_queue_yaml():
    # Create a client
    client = tasks_v2beta2.CloudTasksClient()

    # Initialize request argument(s)
    request = tasks_v2beta2.UploadQueueYamlRequest(
        app_id="app_id_value",
    )

    # Make the request
    client.upload_queue_yaml(request=request)