| from __future__ import absolute_import | |
| import sys | |
| from kafka.metrics.stats.sampled_stat import AbstractSampledStat | |
| class Min(AbstractSampledStat): | |
| """An AbstractSampledStat that gives the min over its samples.""" | |
| def __init__(self): | |
| super(Min, self).__init__(float(sys.maxsize)) | |
| def update(self, sample, config, value, now): | |
| sample.value = min(sample.value, value) | |
| def combine(self, samples, config, now): | |
| if not samples: | |
| return float(sys.maxsize) | |
| return float(min(sample.value for sample in samples)) | |