PrivacyScanData/Target/Pseudonym/dataset_pseudonymizer_5.py

def _pseudonymize_csv(
    input_csv_path: str,
    identifier_unit_id_type: Union[str, None],
    measure_unit_id_type: Union[str, None],
    job_id: str
) -> str:
    if identifier_unit_id_type and not measure_unit_id_type:
        logger.info('Pseudonymizing identifier')
        return _pseudonymize_identifier_only(
            input_csv_path, identifier_unit_id_type, job_id
        )
    elif measure_unit_id_type and not identifier_unit_id_type:
        logger.info('Pseudonymizing measure')
        return _pseudonymize_measure_only(
            input_csv_path, measure_unit_id_type, job_id
        )
    elif identifier_unit_id_type and measure_unit_id_type:
        logger.info('Pseudonymizing identifier and measure')
        return _pseudonymize_identifier_and_measure(
            input_csv_path,
            identifier_unit_id_type,
            measure_unit_id_type,
            job_id
        )
    else:
        logger.info('No pseudonymization')
        return input_csv_path