How to use the pm4py.objects.log.exporter.csv.factory.export_log function in pm4py

def import_log_csv(path):
    return conversion_factory.apply(
        import_event_stream(path),                           # https://pm4py.fit.fraunhofer.de/documentation/1.2
        parameters={constants.PARAMETER_CONSTANT_CASEID_KEY: "case:concept:name",     # this tells the importer
                    constants.PARAMETER_CONSTANT_ACTIVITY_KEY: "concept:name",        # how to parse the csv
                    constants.PARAMETER_CONSTANT_TIMESTAMP_KEY: "time:timestamp"}     # and which are the caseID
    )                                                                                 # concept name and timestamp

import_log = {
    '.csv': import_log_csv,
    '.xes': import_log_xes
}

export_log = {
    '.csv': export_log_csv,
    '.xes': export_log_xes
}


def create_log(log, name: str, folder='cache/log_cache/', import_in_cache=True):
    logger.info('\tCreating new file (' + name + ') in memory')
    if import_in_cache:
        name = create_unique_name(name)
    path = folder + name
    if import_in_cache:
        if isinstance(log, EventLog):
            export_log[pathlib.Path(name).suffixes[0]](log, path)
        else:
            default_storage.save(path, ContentFile(log.read()))
            log = import_log[pathlib.Path(name).suffixes[0]](path)
    else:  # TODO: this might be risky