How to use the logzero.logger.warn function in logzero

"""
    logzero.logfile(..) should be able to use a custom loglevel
    """
    logzero.reset_default_logger()
    temp = tempfile.NamedTemporaryFile()
    try:
        # Set logfile with custom loglevel
        logzero.logfile(temp.name, loglevel=logging.WARN)
        logzero.logger.info("info1")
        logzero.logger.warn("warn1")

        # If setting a loglevel with logzero.loglevel(..) it will not overwrite
        # the custom loglevel of the file handler
        logzero.loglevel(logging.INFO)
        logzero.logger.info("info2")
        logzero.logger.warn("warn2")

        with open(temp.name) as f:
            content = f.read()
            assert "] info1" not in content
            assert "] warn1" in content
            assert "] info2" not in content
            assert "] warn2" in content

    finally:
        temp.close()

def test_api_logfile_custom_loglevel():
    """
    logzero.logfile(..) should be able to use a custom loglevel
    """
    logzero.reset_default_logger()
    temp = tempfile.NamedTemporaryFile()
    try:
        # Set logfile with custom loglevel
        logzero.logfile(temp.name, loglevel=logging.WARN)
        logzero.logger.info("info1")
        logzero.logger.warn("warn1")

        # If setting a loglevel with logzero.loglevel(..) it will not overwrite
        # the custom loglevel of the file handler
        logzero.loglevel(logging.INFO)
        logzero.logger.info("info2")
        logzero.logger.warn("warn2")

        with open(temp.name) as f:
            content = f.read()
            assert "] info1" not in content
            assert "] warn1" in content
            assert "] info2" not in content
            assert "] warn2" in content

    finally:
        temp.close()

def test_api_loglevel(capsys):
    """
    Should reconfigure the internal logger loglevel
    """
    logzero.reset_default_logger()
    temp = tempfile.NamedTemporaryFile()
    try:
        logzero.logfile(temp.name)
        logzero.logger.info("info1")
        logzero.loglevel(logging.WARN)
        logzero.logger.info("info2")
        logzero.logger.warn("warn1")

        with open(temp.name) as f:
            content = f.read()
            assert "] info1" in content
            assert "] info2" not in content
            assert "] warn1" in content

    finally:
        temp.close()

base_dir = Path(__file__).absolute().parent.parent.parent.parent

SECRET_KEY = os.environ.get('SECRET_KEY')

_hostname =  os.environ.get('HOOVER_HOSTNAME')
if _hostname:
    HOOVER_BASE_URL = 'https://' + _hostname
    ALLOWED_HOSTS = [_hostname]

def bool_env(value):
    return (value or '').lower() in ['on', 'true']

DEBUG = bool_env(os.environ.get('DEBUG'))
if DEBUG:
    log.warn('DEBUG mode on')


INSTALLED_APPS += (
    'hoover.contrib.ratelimit',
)
HOOVER_RATELIMIT_USER = (30, 60)

if bool_env(os.environ.get('HOOVER_TWOFACTOR_ENABLED')):
    INSTALLED_APPS += (
        'hoover.contrib.twofactor',
        'django_otp',
        'django_otp.plugins.otp_totp',
    )

    MIDDLEWARE_CLASSES += (
        'django_otp.middleware.OTPMiddleware',

# request data

    logger.info('requesting data from iex...')
    data = (web.DataReader(symbols,'iex-tops')
            .assign(lastSaleTime=lambda df:pd.to_datetime(df.lastSaleTime,unit='ms'))
            .assign(lastUpdated=lambda df:pd.to_datetime(df.lastUpdated,unit='ms'))
            .pipe(split_timestamp, timestamp=now)
            .dropna())
    # force float conversion for the following columns
    # this is due to a problem reading in the data when schema changes
    # for example when these columns are populated the data is float, when not,
    # value is 0, then int64 dtypes causes schema change and read error
    to_float = ['askPrice','bidPrice','lastSalePrice','marketPercent']
    data.loc[:,to_float] = data.loc[:,to_float].astype(float)

    if data.empty: logger.warn('data df is empty!')
    #==========================================================================
    # store data

    logger.info('storing data to interim intraday_store')
    outfp = PurePath(data_dir/'interim'/'intraday_store').as_posix()
    write_to_parquet(data, outfp, logger=logger)
else:
    logger.warn('system outside of market hours, no data queried')

# force float conversion for the following columns
    # this is due to a problem reading in the data when schema changes
    # for example when these columns are populated the data is float, when not,
    # value is 0, then int64 dtypes causes schema change and read error
    to_float = ['askPrice','bidPrice','lastSalePrice','marketPercent']
    data.loc[:,to_float] = data.loc[:,to_float].astype(float)

    if data.empty: logger.warn('data df is empty!')
    #==========================================================================
    # store data

    logger.info('storing data to interim intraday_store')
    outfp = PurePath(data_dir/'interim'/'intraday_store').as_posix()
    write_to_parquet(data, outfp, logger=logger)
else:
    logger.warn('system outside of market hours, no data queried')