Class CloudTasksClient (2.9.1)

CloudTasksClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.tasks_v2.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.

Properties

transport

Returns the transport used by the client instance.

Returns

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

Methods

CloudTasksClient

CloudTasksClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.tasks_v2.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

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`	`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

Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

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_v2.types.cloudtasks.CreateQueueRequest, dict]] = None, *, parent: Optional[str] = None, queue: Optional[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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`	`google.cloud.tasks_v2.types.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.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

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: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.CreateTaskRequest, dict]] = None, *, parent: Optional[str] = None, task: Optional[google.cloud.tasks_v2.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.

The maximum task size is 100KB.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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`	`google.cloud.tasks_v2.types.Task` Required. The task to add. Task names have the following format: `projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID`. The user can optionally specify a task name. If a name is not specified then the system will generate a random unique task id, which will be set in the task returned in the response. If schedule_time is not set or is in the past then Cloud Tasks will set it to the current time. Task De-duplication: Explicitly specifying a task ID enables task de-duplication. If a task's ID is identical to that of an existing task or a task that was deleted or executed recently then the call will fail with `ALREADY_EXISTS][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.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

Type	Description
`google.cloud.tasks_v2.types.Task`	A unit of scheduled work.

delete_queue

delete_queue(request: Optional[Union[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

Parameters

Name	Description
`request`	`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.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_v2.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 executed successfully or permanently failed.

from google.cloud import tasks_v2

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

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

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

Parameters

Name	Description
`request`	`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.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

Name	Description
`filename`	`str` The path to the service account private key json file.

Returns

Type	Description
`CloudTasksClient`	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
`CloudTasksClient`	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
`CloudTasksClient`	The 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

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

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

Name	Description
`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

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:** { "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

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: Optional[Union[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

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: Optional[Union[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

Type	Description
`google.cloud.tasks_v2.types.Task`	A unit of scheduled work.

list_queues

list_queues(request: Optional[Union[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

    # Initialize request argument(s)
    request = tasks_v2.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

Name	Description
`request`	`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.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

Type	Description
`google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesPager`	Response 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_v2.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.

from google.cloud import tasks_v2

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

    # Initialize request argument(s)
    request = tasks_v2.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

Name	Description
`request`	`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.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

Type	Description
`google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksPager`	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)

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_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

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: Optional[Union[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

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)

Returns a fully-qualified queue string.

resume_queue

resume_queue(request: Optional[Union[google.cloud.tasks_v2.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>__.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

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: Optional[Union[google.cloud.tasks_v2.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 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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`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.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

Type	Description
`google.cloud.tasks_v2.types.Task`	A 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

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

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

Name	Description
`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

Type Description

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.

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

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

    # Initialize request argument(s)
    request = iam_policy_pb2.TestIamPermissionsRequest(
        resource="resource_value",
        permissions=['permissions_value_1', 'permissions_value_2'],
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`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

Type	Description
`google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse`	Response message for TestIamPermissions method.

update_queue

update_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.UpdateQueueRequest, dict]] = None, *, queue: Optional[google.cloud.tasks_v2.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.

from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.tasks_v2.types.UpdateQueueRequest, dict]` The request object. Request message for UpdateQueue.
`queue`	`google.cloud.tasks_v2.types.Queue` Required. The queue to create or update. The queue's name must be specified. Output only fields cannot be modified using UpdateQueue. Any value specified for an output only field will be ignored. The queue's name cannot be changed. 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

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.