cuery.actors.utils
==================

.. py:module:: cuery.actors.utils


Attributes
----------

.. autoapisummary::

   cuery.actors.utils.ActorClass
   cuery.actors.utils.FlexToolClass
   cuery.actors.utils.DEFAULT_FLEX_CONFIG


Functions
---------

.. autoapisummary::

   cuery.actors.utils.fetch_apify_dataset
   cuery.actors.utils.fetch_parquet_dataset
   cuery.actors.utils.run_flex_tool


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

.. py:data:: ActorClass

.. py:data:: FlexToolClass

.. py:data:: DEFAULT_FLEX_CONFIG

.. py:function:: fetch_apify_dataset(source, id, force_cloud = True)
   :async:


   Fetch a dataset from Apify and return it as a DataFrame.


.. py:function:: fetch_parquet_dataset(url, columns = None)

   Fetch a Parquet dataset from a URL and return it as a DataFrame.

   Since we can't validate column names before fetching, we try to read the dataset
   with and without specifying them.


.. py:function:: run_flex_tool(Actor, Tool, **kwargs)
   :async:


   Run a flex tool with the given arguments.