:py:mod:`airflow.providers.tableau.operators.tableau`
=====================================================

.. py:module:: airflow.providers.tableau.operators.tableau


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   airflow.providers.tableau.operators.tableau.TableauOperator


Attributes
~~~~~~~~~~

.. autoapisummary::

   airflow.providers.tableau.operators.tableau.RESOURCES_METHODS


.. py:data:: RESOURCES_METHODS
   

.. py:class:: TableauOperator(*, resource, method, find, match_with = 'id', site_id = None, blocking_refresh = True, check_interval = 20, tableau_conn_id = 'tableau_default', **kwargs)

   Bases: :py:obj:`airflow.models.BaseOperator`

   Execute a Tableau API Resource
   https://tableau.github.io/server-client-python/docs/api-ref

   .. seealso::
       For more information on how to use this operator, take a look at the guide:
       :ref:`howto/operator:TableauOperator`

   :param resource: The name of the resource to use.
   :param method: The name of the resource's method to execute.
   :param find: The reference of resource that will receive the action.
   :param match_with: The resource field name to be matched with find parameter.
   :param site_id: The id of the site where the workbook belongs to.
   :param blocking_refresh: By default will be blocking means it will wait until it has finished.
   :param check_interval: time in seconds that the job should wait in
       between each instance state checks until operation is completed
   :param tableau_conn_id: The :ref:`Tableau Connection id <howto/connection:tableau>`
       containing the credentials to authenticate to the Tableau Server.

   .. py:method:: execute(self, context)

      Executes the Tableau API resource and pushes the job id or downloaded file URI to xcom.
      :param context: The task context during execution.
      :return: the id of the job that executes the extract refresh or downloaded file URI.
      :rtype: str