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:py:mod:`airflow.providers.google.cloud.sensors.cloud_storage_transfer_service`
===============================================================================
.. py:module:: airflow.providers.google.cloud.sensors.cloud_storage_transfer_service
.. autoapi-nested-parse::
This module contains a Google Cloud Transfer sensor.
Module Contents
---------------
Classes
~~~~~~~
.. autoapisummary::
airflow.providers.google.cloud.sensors.cloud_storage_transfer_service.CloudDataTransferServiceJobStatusSensor
.. py:class:: CloudDataTransferServiceJobStatusSensor(*, job_name, expected_statuses, project_id = None, gcp_conn_id = 'google_cloud_default', impersonation_chain = None, **kwargs)
Bases: :py:obj:`airflow.sensors.base.BaseSensorOperator`
Waits for at least one operation belonging to the job to have the
expected status.
.. seealso::
For more information on how to use this operator, take a look at the guide:
:ref:`howto/operator:CloudDataTransferServiceJobStatusSensor`
:param job_name: The name of the transfer job
:param expected_statuses: The expected state of the operation.
See:
https://cloud.google.com/storage-transfer/docs/reference/rest/v1/transferOperations#Status
:param project_id: (Optional) the ID of the project that owns the Transfer
Job. If set to None or missing, the default project_id from the Google Cloud
connection is used.
:param gcp_conn_id: The connection ID used to connect to Google Cloud.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
.. py:attribute:: template_fields
:annotation: :Sequence[str] = ['job_name', 'impersonation_chain']
.. py:attribute:: operator_extra_links
.. py:method:: poke(context)
Function that the sensors defined while deriving this class should
override.