As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

CloudTasks¶

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

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

Instantiates the cloud tasks async client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,CloudTasksTransport,Callable[..., CloudTasksTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the CloudTasksTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Creates a queue.

Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.CreateQueueRequest, dict]]) – The request object. Request message for [CreateQueue][google.cloud.tasks.v2.CloudTasks.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][google.cloud.location.Locations.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_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.task.Task[source]¶

Creates a task and adds it to a queue.

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

The maximum task size is 100KB.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.CreateTaskRequest, dict]]) – The request object. Request message for [CreateTask][google.cloud.tasks.v2.CloudTasks.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][google.cloud.tasks.v2.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][google.cloud.tasks.v2.Task.name].

If [schedule_time][google.cloud.tasks.v2.Task.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][google.cloud.tasks.v2.CloudTasks.CreateTask] calls have significantly increased latency. Using hashed strings for the task id or for the prefix of the task id is recommended. Choosing task ids that are sequential or have sequential prefixes, for example using a timestamp, causes an increase in latency and error rates in all task commands. The infrastructure relies on an approximately uniform distribution of task ids to store and serve tasks efficiently.

This corresponds to the task field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

async delete_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.DeleteQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a queue.

This command will delete the queue even if it has tasks in it.

Note: If you delete a queue, a queue with the same name can’t be created for 7 days.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.DeleteQueueRequest, dict]]) – The request object. Request message for [DeleteQueue][google.cloud.tasks.v2.CloudTasks.DeleteQueue].
name (str) –
Required. The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

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

Deletes a task.

A task can be deleted if it is scheduled or dispatched. A task cannot be deleted if it has executed successfully or permanently failed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.DeleteTaskRequest, dict]]) – The request object. Request message for deleting a task using [DeleteTask][google.cloud.tasks.v2.CloudTasks.DeleteTask].
name (str) –
Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksAsyncClient

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksAsyncClient

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

Gets the access control policy for a [Queue][google.cloud.tasks.v2.Queue]. Returns an empty policy if the resource exists and does not have a policy set.

Authorization requires the following Google IAM permission on the specified resource parent:

cloudtasks.queues.getIamPolicy

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]]) – The request object. Request message for GetIamPolicy method.
resource (str) –
REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.

This corresponds to the resource field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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](https://cloud.google.com/iam/docs/).

Return type

google.iam.v1.policy_pb2.Policy

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

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

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

Gets a queue.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.GetQueueRequest, dict]]) – The request object. Request message for [GetQueue][google.cloud.tasks.v2.CloudTasks.GetQueue].
name (str) –
Required. The resource name of the queue. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

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

Gets a task.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.GetTaskRequest, dict]]) – The request object. Request message for getting a task using [GetTask][google.cloud.tasks.v2.CloudTasks.GetTask].
name (str) –
Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

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

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListLocations method.

Return type

ListLocationsResponse

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

Lists queues.

Queues are returned in lexicographical order.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    async for response in page_result:
        print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.ListQueuesRequest, dict]]) – The request object. Request message for [ListQueues][google.cloud.tasks.v2.CloudTasks.ListQueues].
parent (str) –
Required. The location name. For example: projects/PROJECT_ID/locations/LOCATION_ID

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for: [ListQueues][google.cloud.tasks.v2.CloudTasks.ListQueues].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesAsyncPager

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

Lists the tasks in a queue.

By default, only the [BASIC][google.cloud.tasks.v2.Task.View.BASIC] view is retrieved due to performance considerations; [response_view][google.cloud.tasks.v2.ListTasksRequest.response_view] controls the subset of information which is returned.

The tasks may be returned in any order. The ordering may change at any time.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    async for response in page_result:
        print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.ListTasksRequest, dict]]) – The request object. Request message for listing tasks using [ListTasks][google.cloud.tasks.v2.CloudTasks.ListTasks].
parent (str) –
Required. The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for listing tasks using: [ListTasks][google.cloud.tasks.v2.CloudTasks.ListTasks].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksAsyncPager

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_queue_path(path: str) → Dict[str, str]¶: Parses a queue path into its component segments.

static parse_task_path(path: str) → Dict[str, str]¶: Parses a task path into its component segments.

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

Pauses the queue.

If a queue is paused then the system will stop dispatching tasks until the queue is resumed via [ResumeQueue][google.cloud.tasks.v2.CloudTasks.ResumeQueue]. Tasks can still be added when the queue is paused. A queue is paused if its [state][google.cloud.tasks.v2.Queue.state] is [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.PauseQueueRequest, dict]]) – The request object. Request message for [PauseQueue][google.cloud.tasks.v2.CloudTasks.PauseQueue].
name (str) –
Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

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

Purges a queue by deleting all of its tasks.

All tasks created before this method is called are permanently deleted.

Purge operations can take up to one minute to take effect. Tasks might be dispatched before the purge takes effect. A purge is irreversible.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.PurgeQueueRequest, dict]]) – The request object. Request message for [PurgeQueue][google.cloud.tasks.v2.CloudTasks.PurgeQueue].
name (str) –
Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

static queue_path(project: str, location: str, queue: str) → str¶: Returns a fully-qualified queue string.

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

Resume a queue.

This method resumes a queue after it has been [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED] or [DISABLED][google.cloud.tasks.v2.Queue.State.DISABLED]. The state of a queue is stored in the queue’s [state][google.cloud.tasks.v2.Queue.state]; after calling this method it will be set to [RUNNING][google.cloud.tasks.v2.Queue.State.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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.ResumeQueueRequest, dict]]) – The request object. Request message for [ResumeQueue][google.cloud.tasks.v2.CloudTasks.ResumeQueue].
name (str) –
Required. The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

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

Forces a task to run now.

When this method is called, Cloud Tasks will dispatch the task, even if the task is already running, the queue has reached its [RateLimits][google.cloud.tasks.v2.RateLimits] or is [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].

This command is meant to be used for manual debugging. For example, [RunTask][google.cloud.tasks.v2.CloudTasks.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 [schedule_time][google.cloud.tasks.v2.Task.schedule_time] will be reset to the time that [RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] was called plus the retry delay specified in the queue’s [RetryConfig][google.cloud.tasks.v2.RetryConfig].

[RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] returns [NOT_FOUND][google.rpc.Code.NOT_FOUND] when it is called on a task that has already succeeded or permanently failed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.RunTaskRequest, dict]]) – The request object. Request message for forcing a task to run now using [RunTask][google.cloud.tasks.v2.CloudTasks.RunTask].
name (str) –
Required. The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

This corresponds to the name field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

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

Sets the access control policy for a [Queue][google.cloud.tasks.v2.Queue]. Replaces any existing policy.

Note: The Cloud Console does not check queue-level IAM permissions yet. Project-level permissions are required to use the Cloud Console.

Authorization requires the following Google IAM permission on the specified resource parent:

cloudtasks.queues.setIamPolicy

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]]) – The request object. Request message for SetIamPolicy method.
resource (str) –
REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.

This corresponds to the resource field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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](https://cloud.google.com/iam/docs/).

Return type

google.iam.v1.policy_pb2.Policy

static task_path(project: str, location: str, queue: str, task: str) → str¶: Returns a fully-qualified task string.

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

Returns permissions that a caller has on a [Queue][google.cloud.tasks.v2.Queue]. If the resource does not exist, this will return an empty set of permissions, not a [NOT_FOUND][google.rpc.Code.NOT_FOUND] error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may “fail open” without warning.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest, dict]]) – The request object. Request message for TestIamPermissions method.
resource (str) –
REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.

This corresponds to the resource field on the request instance; if request is provided, this should not be set.
permissions (MutableSequence[str]) –
The set of permissions to check for the resource. Permissions with wildcards (such as ‘*’ or ‘storage.*’) are not allowed. For more information see IAM Overview.

This corresponds to the permissions field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for TestIamPermissions method.

Return type

google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

property transport: google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: CloudTasksTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async 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: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Updates a queue.

This method creates the queue if it does not exist and updates the queue if it does exist.

Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

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

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.tasks_v2.types.UpdateQueueRequest, dict]]) – The request object. Request message for [UpdateQueue][google.cloud.tasks.v2.CloudTasks.UpdateQueue].
queue (google.cloud.tasks_v2.types.Queue) –
Required. The queue to create or update.

The queue’s [name][google.cloud.tasks.v2.Queue.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][google.cloud.tasks.v2.Queue.name] cannot be changed.

This corresponds to the queue field on the request instance; if request is provided, this should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask) –
A mask used to specify which fields of the queue are being updated. If empty, then all fields will be updated.

This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.tasks_v2.types.Queue

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

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

Instantiates the cloud tasks client.

Parameters

credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
transport (Optional[Union[str,CloudTasksTransport,Callable[..., CloudTasksTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the CloudTasksTransport constructor. If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –
Custom options for the client.

1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Creates a queue.

Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.CreateQueueRequest, dict]) – The request object. Request message for [CreateQueue][google.cloud.tasks.v2.CloudTasks.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][google.cloud.location.Locations.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

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.

Return type

google.cloud.tasks_v2.types.Queue

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.task.Task[source]¶

Creates a task and adds it to a queue.

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

The maximum task size is 100KB.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.CreateTaskRequest, dict]) – The request object. Request message for [CreateTask][google.cloud.tasks.v2.CloudTasks.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][google.cloud.tasks.v2.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][google.cloud.tasks.v2.Task.name].

If [schedule_time][google.cloud.tasks.v2.Task.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][google.cloud.tasks.v2.CloudTasks.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

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

delete_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.DeleteQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a queue.

This command will delete the queue even if it has tasks in it.

Note: If you delete a queue, a queue with the same name can’t be created for 7 days.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.DeleteQueueRequest, dict]) – The request object. Request message for [DeleteQueue][google.cloud.tasks.v2.CloudTasks.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(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.DeleteTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes a task.

A task can be deleted if it is scheduled or dispatched. A task cannot be deleted if it has executed successfully or permanently failed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.DeleteTaskRequest, dict]) – The request object. Request message for deleting a task using [DeleteTask][google.cloud.tasks.v2.CloudTasks.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.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

info (dict) – The service account private key info.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksClient

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

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

Parameters

filename (str) – The path to the service account private key json file.
args – Additional arguments to pass to the constructor.
kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

CloudTasksClient

get_iam_policy(request: Optional[Union[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest, dict]] = None, *, resource: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

Gets the access control policy for a [Queue][google.cloud.tasks.v2.Queue]. Returns an empty policy if the resource exists and does not have a policy set.

Authorization requires the following Google IAM permission on the specified resource parent:

cloudtasks.queues.getIamPolicy

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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

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

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](https://cloud.google.com/iam/docs/).

Return type

google.iam.v1.policy_pb2.Policy

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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.

Returns

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.GetQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Gets a queue.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.GetQueueRequest, dict]) – The request object. Request message for [GetQueue][google.cloud.tasks.v2.CloudTasks.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

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.

Return type

google.cloud.tasks_v2.types.Queue

get_task(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.GetTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.task.Task[source]¶

Gets a task.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.GetTaskRequest, dict]) – The request object. Request message for getting a task using [GetTask][google.cloud.tasks.v2.CloudTasks.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

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
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

Response message for ListLocations method.

Return type

ListLocationsResponse

list_queues(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.ListQueuesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesPager[source]¶

Lists queues.

Queues are returned in lexicographical order.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.ListQueuesRequest, dict]) – The request object. Request message for [ListQueues][google.cloud.tasks.v2.CloudTasks.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

Response message for: [ListQueues][google.cloud.tasks.v2.CloudTasks.ListQueues].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesPager

list_tasks(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.ListTasksRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksPager[source]¶

Lists the tasks in a queue.

By default, only the [BASIC][google.cloud.tasks.v2.Task.View.BASIC] view is retrieved due to performance considerations; [response_view][google.cloud.tasks.v2.ListTasksRequest.response_view] controls the subset of information which is returned.

The tasks may be returned in any order. The ordering may change at any time.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.ListTasksRequest, dict]) – The request object. Request message for listing tasks using [ListTasks][google.cloud.tasks.v2.CloudTasks.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

Response message for listing tasks using: [ListTasks][google.cloud.tasks.v2.CloudTasks.ListTasks].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksPager

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_queue_path(path: str) → Dict[str, str][source]¶: Parses a queue path into its component segments.

static parse_task_path(path: str) → Dict[str, str][source]¶: Parses a task path into its component segments.

pause_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.PauseQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Pauses the queue.

If a queue is paused then the system will stop dispatching tasks until the queue is resumed via [ResumeQueue][google.cloud.tasks.v2.CloudTasks.ResumeQueue]. Tasks can still be added when the queue is paused. A queue is paused if its [state][google.cloud.tasks.v2.Queue.state] is [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.PauseQueueRequest, dict]) – The request object. Request message for [PauseQueue][google.cloud.tasks.v2.CloudTasks.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

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.

Return type

google.cloud.tasks_v2.types.Queue

purge_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.PurgeQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Purges a queue by deleting all of its tasks.

All tasks created before this method is called are permanently deleted.

Purge operations can take up to one minute to take effect. Tasks might be dispatched before the purge takes effect. A purge is irreversible.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.PurgeQueueRequest, dict]) – The request object. Request message for [PurgeQueue][google.cloud.tasks.v2.CloudTasks.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

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.

Return type

google.cloud.tasks_v2.types.Queue

static queue_path(project: str, location: str, queue: str) → str[source]¶: Returns a fully-qualified queue string.

resume_queue(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.ResumeQueueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Resume a queue.

This method resumes a queue after it has been [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED] or [DISABLED][google.cloud.tasks.v2.Queue.State.DISABLED]. The state of a queue is stored in the queue’s [state][google.cloud.tasks.v2.Queue.state]; after calling this method it will be set to [RUNNING][google.cloud.tasks.v2.Queue.State.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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.ResumeQueueRequest, dict]) – The request object. Request message for [ResumeQueue][google.cloud.tasks.v2.CloudTasks.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

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.

Return type

google.cloud.tasks_v2.types.Queue

run_task(request: Optional[Union[google.cloud.tasks_v2.types.cloudtasks.RunTaskRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.task.Task[source]¶

Forces a task to run now.

When this method is called, Cloud Tasks will dispatch the task, even if the task is already running, the queue has reached its [RateLimits][google.cloud.tasks.v2.RateLimits] or is [PAUSED][google.cloud.tasks.v2.Queue.State.PAUSED].

This command is meant to be used for manual debugging. For example, [RunTask][google.cloud.tasks.v2.CloudTasks.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 [schedule_time][google.cloud.tasks.v2.Task.schedule_time] will be reset to the time that [RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] was called plus the retry delay specified in the queue’s [RetryConfig][google.cloud.tasks.v2.RetryConfig].

[RunTask][google.cloud.tasks.v2.CloudTasks.RunTask] returns [NOT_FOUND][google.rpc.Code.NOT_FOUND] when it is called on a task that has already succeeded or permanently failed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.RunTaskRequest, dict]) – The request object. Request message for forcing a task to run now using [RunTask][google.cloud.tasks.v2.CloudTasks.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

A unit of scheduled work.

Return type

google.cloud.tasks_v2.types.Task

set_iam_policy(request: Optional[Union[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest, dict]] = None, *, resource: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]¶

Sets the access control policy for a [Queue][google.cloud.tasks.v2.Queue]. Replaces any existing policy.

Note: The Cloud Console does not check queue-level IAM permissions yet. Project-level permissions are required to use the Cloud Console.

Authorization requires the following Google IAM permission on the specified resource parent:

cloudtasks.queues.setIamPolicy

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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

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

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](https://cloud.google.com/iam/docs/).

Return type

google.iam.v1.policy_pb2.Policy

static task_path(project: str, location: str, queue: str, task: str) → str[source]¶: Returns a fully-qualified task string.

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

Returns permissions that a caller has on a [Queue][google.cloud.tasks.v2.Queue]. If the resource does not exist, this will return an empty set of permissions, not a [NOT_FOUND][google.rpc.Code.NOT_FOUND] error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may “fail open” without warning.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2
from google.iam.v1 import iam_policy_pb2  # type: ignore

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_value1', 'permissions_value2'],
    )

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

    # Handle the response
    print(response)

Parameters

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 (MutableSequence[str]) –
The set of permissions to check for the resource. Permissions with wildcards (such as ‘*’ or ‘storage.*’) are not allowed. For more information see IAM Overview.

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

Response message for TestIamPermissions method.

Return type

google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse

property transport: google.cloud.tasks_v2.services.cloud_tasks.transports.base.CloudTasksTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

CloudTasksTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

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: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.tasks_v2.types.queue.Queue[source]¶

Updates a queue.

This method creates the queue if it does not exist and updates the queue if it does exist.

Queues created with this method allow tasks to live for a maximum of 31 days. After a task is 31 days old, the task will be deleted regardless of whether it was dispatched or not.

WARNING: Using this method may have unintended side effects if you are using an App Engine queue.yaml or queue.xml file to manage your queues. Read Overview of Queue Management and queue.yaml before using this method.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import tasks_v2

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

request (Union[google.cloud.tasks_v2.types.UpdateQueueRequest, dict]) – The request object. Request message for [UpdateQueue][google.cloud.tasks.v2.CloudTasks.UpdateQueue].
queue (google.cloud.tasks_v2.types.Queue) –
Required. The queue to create or update.

The queue’s [name][google.cloud.tasks.v2.Queue.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][google.cloud.tasks.v2.Queue.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

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.

Return type

google.cloud.tasks_v2.types.Queue

class google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesAsyncPager(method: Callable[[...], Awaitable[google.cloud.tasks_v2.types.cloudtasks.ListQueuesResponse]], request: google.cloud.tasks_v2.types.cloudtasks.ListQueuesRequest, response: google.cloud.tasks_v2.types.cloudtasks.ListQueuesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_queues requests.

This class thinly wraps an initial google.cloud.tasks_v2.types.ListQueuesResponse object, and provides an __aiter__ method to iterate through its queues field.

If there are more pages, the __aiter__ method will make additional ListQueues requests and continue to iterate through the queues field on the corresponding responses.

All the usual google.cloud.tasks_v2.types.ListQueuesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.tasks_v2.types.ListQueuesRequest) – The initial request object.
response (google.cloud.tasks_v2.types.ListQueuesResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

class google.cloud.tasks_v2.services.cloud_tasks.pagers.ListQueuesPager(method: Callable[[...], google.cloud.tasks_v2.types.cloudtasks.ListQueuesResponse], request: google.cloud.tasks_v2.types.cloudtasks.ListQueuesRequest, response: google.cloud.tasks_v2.types.cloudtasks.ListQueuesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_queues requests.

This class thinly wraps an initial google.cloud.tasks_v2.types.ListQueuesResponse object, and provides an __iter__ method to iterate through its queues field.

If there are more pages, the __iter__ method will make additional ListQueues requests and continue to iterate through the queues field on the corresponding responses.

All the usual google.cloud.tasks_v2.types.ListQueuesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.tasks_v2.types.ListQueuesRequest) – The initial request object.
response (google.cloud.tasks_v2.types.ListQueuesResponse) – The initial response object.
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.

class google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksAsyncPager(method: Callable[[...], Awaitable[google.cloud.tasks_v2.types.cloudtasks.ListTasksResponse]], request: google.cloud.tasks_v2.types.cloudtasks.ListTasksRequest, response: google.cloud.tasks_v2.types.cloudtasks.ListTasksResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_tasks requests.

This class thinly wraps an initial google.cloud.tasks_v2.types.ListTasksResponse object, and provides an __aiter__ method to iterate through its tasks field.

If there are more pages, the __aiter__ method will make additional ListTasks requests and continue to iterate through the tasks field on the corresponding responses.

All the usual google.cloud.tasks_v2.types.ListTasksResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.tasks_v2.types.ListTasksRequest) – The initial request object.
response (google.cloud.tasks_v2.types.ListTasksResponse) – The initial response object.
retry (google.api_core.retry.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

class google.cloud.tasks_v2.services.cloud_tasks.pagers.ListTasksPager(method: Callable[[...], google.cloud.tasks_v2.types.cloudtasks.ListTasksResponse], request: google.cloud.tasks_v2.types.cloudtasks.ListTasksRequest, response: google.cloud.tasks_v2.types.cloudtasks.ListTasksResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]¶

A pager for iterating through list_tasks requests.

This class thinly wraps an initial google.cloud.tasks_v2.types.ListTasksResponse object, and provides an __iter__ method to iterate through its tasks field.

If there are more pages, the __iter__ method will make additional ListTasks requests and continue to iterate through the tasks field on the corresponding responses.

All the usual google.cloud.tasks_v2.types.ListTasksResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters

method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.tasks_v2.types.ListTasksRequest) – The initial request object.
response (google.cloud.tasks_v2.types.ListTasksResponse) – The initial response object.
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.

CloudTasks¶

google-cloud-tasks

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