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