Source code for airflow.providers.tableau.sensors.tableau_job_status

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from typing import TYPE_CHECKING, Optional, Sequence

from airflow.providers.tableau.hooks.tableau import (
    TableauHook,
    TableauJobFailedException,
    TableauJobFinishCode,
)
from airflow.sensors.base import BaseSensorOperator

if TYPE_CHECKING:
    from airflow.utils.context import Context


[docs]class TableauJobStatusSensor(BaseSensorOperator): """ Watches the status of a Tableau Server Job. .. seealso:: https://tableau.github.io/server-client-python/docs/api-ref#jobs :param job_id: Id of the job to watch. :param site_id: The id of the site where the workbook belongs to. :param tableau_conn_id: The :ref:`Tableau Connection id <howto/connection:tableau>` containing the credentials to authenticate to the Tableau Server. """
[docs] template_fields: Sequence[str] = ('job_id',)
def __init__( self, *, job_id: str, site_id: Optional[str] = None, tableau_conn_id: str = 'tableau_default', **kwargs, ) -> None: super().__init__(**kwargs) self.tableau_conn_id = tableau_conn_id self.job_id = job_id self.site_id = site_id
[docs] def poke(self, context: 'Context') -> bool: """ Pokes until the job has successfully finished. :param context: The task context during execution. :return: True if it succeeded and False if not. :rtype: bool """ with TableauHook(self.site_id, self.tableau_conn_id) as tableau_hook: finish_code = tableau_hook.get_job_status(job_id=self.job_id) self.log.info('Current finishCode is %s (%s)', finish_code.name, finish_code.value) if finish_code in (TableauJobFinishCode.ERROR, TableauJobFinishCode.CANCELED): raise TableauJobFailedException('The Tableau Refresh Workbook Job failed!') return finish_code == TableauJobFinishCode.SUCCESS

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