def log_metrics(asset):
    m = metrics(asset)
    keys = m.keys()
    keys.sort()
    for k in keys:
        LOG.info('%s:%s', k, m[k])
Output the metrics to the log.
dataset/ETHPy150Open turbulenz/turbulenz_tools/turbulenz_tools/utils/json_utils.py/log_metrics