Client for Cloud Tasks API#

class google.cloud.tasks_v2beta3.CloudTasksClient(transport=None, channel=None, credentials=None, client_config=None, client_info=None, client_options=None)[source]#

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

Constructor.

Parameters
  • (Union[CloudTasksGrpcTransport, (transport) – Callable[[~.Credentials, type], ~.CloudTasksGrpcTransport]): A transport instance, responsible for actually making the API calls. The default transport uses the gRPC protocol. This argument may also be a callable which returns a transport instance. Callables will be sent the credentials as the first argument and the default transport class as the second argument.

  • channel (grpc.Channel) – DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.

  • credentials (google.auth.credentials.Credentials) – The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.

  • client_config (dict) – DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

  • client_options (Union[dict, google.api_core.client_options.ClientOptions]) – Client options used to set user options on the client. API Endpoint should be set through client_options.

create_queue(parent, queue, retry=<object object>, timeout=<object object>, metadata=None)[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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> parent = client.location_path('[PROJECT]', '[LOCATION]')
>>>
>>> # Initialize `queue`:
>>> queue = {
...     # The fully qualified path to the queue
...     'name': client.queue_path('[PROJECT]', '[LOCATION]', '[NAME]'),
...     'app_engine_http_queue': {
...         'app_engine_routing_override': {
...             # The App Engine service that will receive the tasks.
...             'service': 'default',
...         },
...     },
... }
>>>
>>> response = client.create_queue(parent, queue)
Parameters
  • 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.

  • queue (Union[dict, Queue]) –

    Required.

    The queue to create.

    Queue's name cannot be the same as an existing queue.

    If a dict is provided, it must be of the same form as the protobuf message Queue

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises
create_task(parent, task, response_view=None, retry=<object object>, timeout=<object object>, metadata=None)[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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> parent = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> # TODO: Initialize `task`:
>>> task = {}
>>>
>>> response = client.create_task(parent, task)
Parameters
  • parent (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

    The queue must already exist.

  • task (Union[dict, Task]) –

    Required.

    The task to add.

    Task names have the following format: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID. The user can optionally specify a task name. If a name is not specified then the system will generate a random unique task id, which will be set in the task returned in the response.

    If schedule_time is not set or is in the past then Cloud Tasks will set it to the current time.

    Task De-duplication:

    Explicitly specifying a task ID enables task de-duplication. If a task’s ID is identical to that of an existing task or a task that was deleted or executed recently then the call will fail with ALREADY_EXISTS. If the task’s queue was created using Cloud Tasks, then another task with the same name can’t be created for ~1hour after the original task was deleted or executed. If the task’s queue was created using queue.yaml or queue.xml, then another task with the same name can’t be created for ~9days after the original task was deleted or executed.

    Because there is an extra lookup cost to identify duplicate task names, these CreateTask calls have significantly increased latency. Using hashed strings for the task id or for the prefix of the task id is recommended. Choosing task ids that are sequential or have sequential prefixes, for example using a timestamp, causes an increase in latency and error rates in all task commands. The infrastructure relies on an approximately uniform distribution of task ids to store and serve tasks efficiently.

    If a dict is provided, it must be of the same form as the protobuf message Task

  • response_view (View) –

    The response_view specifies which subset of the Task will be returned.

    By default response_view is BASIC; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains.

    Authorization for FULL requires cloudtasks.tasks.fullView Google IAM <https://cloud.google.com/iam/>`___ permission on the ``Task` resource.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Task instance.

Raises
delete_queue(name, retry=<object object>, timeout=<object object>, metadata=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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> client.delete_queue(name)
Parameters
  • name (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Raises
delete_task(name, retry=<object object>, timeout=<object object>, metadata=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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]')
>>>
>>> client.delete_task(name)
Parameters
  • name (str) –

    Required.

    The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Raises
enums = <module 'google.cloud.tasks_v2beta3.gapic.enums' from '/usr/local/lib/python3.7/site-packages/google/cloud/tasks_v2beta3/gapic/enums.py'>#
classmethod from_service_account_file(filename, *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_json(filename, *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(resource, options_=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Gets the access control policy for a 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

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> resource = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> response = client.get_iam_policy(resource)
Parameters
  • resource (str) – REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field.

  • options_ (Union[dict, GetPolicyOptions]) –

    OPTIONAL: A GetPolicyOptions object for specifying options to GetIamPolicy. This field is only used by Cloud IAM.

    If a dict is provided, it must be of the same form as the protobuf message GetPolicyOptions

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Policy instance.

Raises
get_queue(name, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Gets a queue.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> response = client.get_queue(name)
Parameters
  • name (str) –

    Required.

    The resource name of the queue. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises
get_task(name, response_view=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Gets a task.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]')
>>>
>>> response = client.get_task(name)
Parameters
  • name (str) –

    Required.

    The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

  • response_view (View) –

    The response_view specifies which subset of the Task will be returned.

    By default response_view is BASIC; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains.

    Authorization for FULL requires cloudtasks.tasks.fullView Google IAM <https://cloud.google.com/iam/>`___ permission on the ``Task` resource.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Task instance.

Raises
list_queues(parent, filter_=None, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Lists queues.

Queues are returned in lexicographical order.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> parent = client.location_path('[PROJECT]', '[LOCATION]')
>>>
>>> # Iterate over all results
>>> for element in client.list_queues(parent):
...     # process element
...     pass
>>>
>>>
>>> # Alternatively:
>>>
>>> # Iterate over results one page at a time
>>> for page in client.list_queues(parent).pages:
...     for element in page:
...         # process element
...         pass
Parameters
  • parent (str) –

    Required.

    The location name. For example: projects/PROJECT_ID/locations/LOCATION_ID

  • filter_ (str) –

    filter can be used to specify a subset of queues. Any Queue field can be used as a filter and several operators as supported. For example: <=, <, >=, >, !=, =, :. The filter syntax is the same as described in Stackdriver’s Advanced Logs Filters.

    Sample filter “state: PAUSED”.

    Note that using filters might cause fewer queues than the requested page_size to be returned.

  • page_size (int) – The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A PageIterator instance. An iterable of Queue instances. You can also iterate over the pages of the response using its pages property.

Raises
list_tasks(parent, response_view=None, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Lists the tasks in a queue.

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

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> parent = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> # Iterate over all results
>>> for element in client.list_tasks(parent):
...     # process element
...     pass
>>>
>>>
>>> # Alternatively:
>>>
>>> # Iterate over results one page at a time
>>> for page in client.list_tasks(parent).pages:
...     for element in page:
...         # process element
...         pass
Parameters
  • parent (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID

  • response_view (View) –

    The response_view specifies which subset of the Task will be returned.

    By default response_view is BASIC; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains.

    Authorization for FULL requires cloudtasks.tasks.fullView Google IAM <https://cloud.google.com/iam/>`___ permission on the ``Task` resource.

  • page_size (int) – The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A PageIterator instance. An iterable of Task instances. You can also iterate over the pages of the response using its pages property.

Raises
classmethod location_path(project, location)[source]#

Return a fully-qualified location string.

pause_queue(name, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Pauses the queue.

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

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> response = client.pause_queue(name)
Parameters
  • name (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises
classmethod project_path(project)[source]#

Return a fully-qualified project string.

purge_queue(name, retry=<object object>, timeout=<object object>, metadata=None)[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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> response = client.purge_queue(name)
Parameters
  • name (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises
classmethod queue_path(project, location, queue)[source]#

Return a fully-qualified queue string.

resume_queue(name, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Resume a queue.

This method resumes a queue after it has been PAUSED or DISABLED. The state of a queue is stored in the queue’s state; after calling this method it will be set to 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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> response = client.resume_queue(name)
Parameters
  • name (str) –

    Required.

    The queue name. For example: projects/PROJECT_ID/location/LOCATION_ID/queues/QUEUE_ID

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises
run_task(name, response_view=None, retry=<object object>, timeout=<object object>, metadata=None)[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 or is PAUSED.

This command is meant to be used for manual debugging. For example, 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 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 will be reset to the time that RunTask was called plus the retry delay specified in the queue’s RetryConfig.

RunTask returns NOT_FOUND when it is called on a task that has already succeeded or permanently failed.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> name = client.task_path('[PROJECT]', '[LOCATION]', '[QUEUE]', '[TASK]')
>>>
>>> response = client.run_task(name)
Parameters
  • name (str) –

    Required.

    The task name. For example: projects/PROJECT_ID/locations/LOCATION_ID/queues/QUEUE_ID/tasks/TASK_ID

  • response_view (View) –

    The response_view specifies which subset of the Task will be returned.

    By default response_view is BASIC; not all information is retrieved by default because some data, such as payloads, might be desirable to return only when needed because of its large size or because of the sensitivity of data that it contains.

    Authorization for FULL requires cloudtasks.tasks.fullView Google IAM <https://cloud.google.com/iam/>`___ permission on the ``Task` resource.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Task instance.

Raises
set_iam_policy(resource, policy, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Sets the access control policy for a 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

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> resource = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> # TODO: Initialize `policy`:
>>> policy = {}
>>>
>>> response = client.set_iam_policy(resource, policy)
Parameters
  • resource (str) – REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field.

  • policy (Union[dict, Policy]) –

    REQUIRED: The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Cloud Platform services (such as Projects) might reject them.

    If a dict is provided, it must be of the same form as the protobuf message Policy

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Policy instance.

Raises
classmethod task_path(project, location, queue, task)[source]#

Return a fully-qualified task string.

test_iam_permissions(resource, permissions, retry=<object object>, timeout=<object object>, metadata=None)[source]#

Returns permissions that a caller has on a Queue. If the resource does not exist, this will return an empty set of permissions, not a 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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> resource = client.queue_path('[PROJECT]', '[LOCATION]', '[QUEUE]')
>>>
>>> # TODO: Initialize `permissions`:
>>> permissions = []
>>>
>>> response = client.test_iam_permissions(resource, permissions)
Parameters
  • resource (str) – REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field.

  • permissions (list[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.

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A TestIamPermissionsResponse instance.

Raises
update_queue(queue, update_mask=None, retry=<object object>, timeout=<object object>, metadata=None)[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.

Example

>>> from google.cloud import tasks_v2beta3
>>>
>>> client = tasks_v2beta3.CloudTasksClient()
>>>
>>> # Initialize `queue`:
>>> queue = {
...     # The fully qualified path to the queue
...     'name': client.queue_path('[PROJECT]', '[LOCATION]', '[NAME]'),
...     'app_engine_http_queue': {
...         'app_engine_routing_override': {
...             # The App Engine service that will receive the tasks.
...             'service': 'default',
...         },
...     },
... }
>>>
>>> response = client.update_queue(queue)
Parameters
  • queue (Union[dict, Queue]) –

    Required.

    The queue to create or update.

    The queue’s name must be specified.

    Output only fields cannot be modified using UpdateQueue. Any value specified for an output only field will be ignored. The queue’s name cannot be changed.

    If a dict is provided, it must be of the same form as the protobuf message Queue

  • update_mask (Union[dict, FieldMask]) –

    A mask used to specify which fields of the queue are being updated.

    If empty, then all fields will be updated.

    If a dict is provided, it must be of the same form as the protobuf message FieldMask

  • retry (Optional[google.api_core.retry.Retry]) – A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

  • timeout (Optional[float]) – The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

  • metadata (Optional[Sequence[Tuple[str, str]]]) – Additional metadata that is provided to the method.

Returns

A Queue instance.

Raises