(
        rule_names, sketch_id, start_date, end_date,
        timeline_ids=None, parameters=None)
return task_group
Runs a task to find out if data exists in a dataset.

    Args:
        rule_names (list): A list of rule names to run.
        sketch_id (int): Sketch identifier.
        start_date (str): A string with an ISO formatted timestring for the
            start date of the data search.
        end_date (str): A string with an ISO formatted timestring for the
            end date of the data search.
        timeline_ids (list): An optional list of integers for the timelines
            within the the sketch to limit the data search to. If not provided
            all timelines are searched.
        parameters (dict): An optional dict with key/value pairs of parameters
            and their values, used for filling in regular expressions.

    Returns:
        Celery task object.
Runs a task to find out if data exists in a dataset.
Runs a task to find out if data exists in a dataset .
def run_data_finder(
        rule_names, sketch_id, start_date, end_date,
        timeline_ids=None, parameters=None):
    """Runs a task to find out if data exists in a dataset.

    Args:
        rule_names (list): A list of rule names to run.
        sketch_id (int): Sketch identifier.
        start_date (str): A string with an ISO formatted timestring for the
            start date of the data search.
        end_date (str): A string with an ISO formatted timestring for the
            end date of the data search.
        timeline_ids (list): An optional list of integers for the timelines
            within the the sketch to limit the data search to. If not provided
            all timelines are searched.
        parameters (dict): An optional dict with key/value pairs of parameters
            and their values, used for filling in regular expressions.

    Returns:
        Celery task object.
    """
    task_group = group(find_data_task.s(
        rule_name=x, sketch_id=sketch_id, start_date=start_date,
        end_date=end_date, timeline_ids=timeline_ids,
        parameters=parameters) for x in rule_names)
    return task_group
def run_data_finder ( rule_names , sketch_id , start_date , end_date , timeline_ids = None , parameters = None ) : task_group = group ( find_data_task . s ( rule_name = x , sketch_id = sketch_id , start_date = start_date , end_date = end_date , timeline_ids = timeline_ids , parameters = parameters ) for x in rule_names ) return task_group