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Rename TimerMetric to DistributionMetric; as it could count more than just time

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Paul "LeoNerd" Evans 2015-03-10 15:21:03 +00:00
parent 642f725fd7
commit f1fbe3e09f
4 changed files with 37 additions and 33 deletions
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24
synapse/metrics/metric.py
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@ -101,35 +101,37 @@ class CallbackMetric(BaseMetric):
for k in sorted(value.keys())]
class TimerMetric(CounterMetric):
"""A combination of an event counter and a time accumulator, which counts
both the number of events and how long each one takes.
class DistributionMetric(CounterMetric):
"""A combination of an event counter and an accumulator, which counts
both the number of events and accumulates the total value. Typically this
could be used to keep track of method-running times, or other distributions
of values that occur in discrete occurances.
TODO(paul): Try to export some heatmap-style stats?
"""
def __init__(self, *args, **kwargs):
super(TimerMetric, self).__init__(*args, **kwargs)
super(DistributionMetric, self).__init__(*args, **kwargs)
self.times = {}
self.totals = {}
# Scalar metrics are never empty
if self.is_scalar():
self.times[()] = 0
self.totals[()] = 0
def inc_time(self, msec, *values):
def inc_by(self, inc, *values):
self.inc(*values)
if values not in self.times:
self.times[values] = msec
if values not in self.totals:
self.totals[values] = inc
else:
self.times[values] += msec
self.totals[values] += inc
def render_item(self, k):
keystr = self._render_key(k)
return ["%s:count%s %d" % (self.name, keystr, self.counts[k]),
"%s:msec%s %d" % (self.name, keystr, self.times[k])]
"%s:total%s %d" % (self.name, keystr, self.totals[k])]
class CacheMetric(object):