Source code for airflow.providers.google.cloud.sensors.cloud_storage_transfer_service

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"""This module contains a Google Cloud Transfer sensor."""
from typing import Optional, Sequence, Set, Union

from airflow.providers.google.cloud.hooks.cloud_storage_transfer_service import (
    COUNTERS,
    METADATA,
    NAME,
    CloudDataTransferServiceHook,
)
from airflow.sensors.base import BaseSensorOperator


[docs]class CloudDataTransferServiceJobStatusSensor(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 :type job_name: str :param expected_statuses: The expected state of the operation. See: https://cloud.google.com/storage-transfer/docs/reference/rest/v1/transferOperations#Status :type expected_statuses: set[str] or string :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. :type project_id: str :param gcp_conn_id: The connection ID used to connect to Google Cloud. :type gcp_conn_id: str :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). :type impersonation_chain: Union[str, Sequence[str]] """ # [START gcp_transfer_job_sensor_template_fields]
[docs] template_fields = ( 'job_name', 'impersonation_chain',
) # [END gcp_transfer_job_sensor_template_fields] def __init__( self, *, job_name: str, expected_statuses: Union[Set[str], str], project_id: Optional[str] = None, gcp_conn_id: str = 'google_cloud_default', impersonation_chain: Optional[Union[str, Sequence[str]]] = None, **kwargs, ) -> None: super().__init__(**kwargs) self.job_name = job_name self.expected_statuses = ( {expected_statuses} if isinstance(expected_statuses, str) else expected_statuses ) self.project_id = project_id self.gcp_cloud_conn_id = gcp_conn_id self.impersonation_chain = impersonation_chain
[docs] def poke(self, context: dict) -> bool: hook = CloudDataTransferServiceHook( gcp_conn_id=self.gcp_cloud_conn_id, impersonation_chain=self.impersonation_chain, ) operations = hook.list_transfer_operations( request_filter={'project_id': self.project_id, 'job_names': [self.job_name]} ) for operation in operations: self.log.info("Progress for operation %s: %s", operation[NAME], operation[METADATA][COUNTERS]) check = CloudDataTransferServiceHook.operations_contain_expected_statuses( operations=operations, expected_statuses=self.expected_statuses ) if check: self.xcom_push(key="sensed_operations", value=operations, context=context) return check

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