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- # -*- coding: utf-8 -*-
- # Copyright 2015 OpenMarket Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- from itertools import chain
- # TODO(paul): I can't believe Python doesn't have one of these
- def map_concat(func, items):
- # flatten a list-of-lists
- return list(chain.from_iterable(map(func, items)))
- class BaseMetric(object):
- def __init__(self, name, labels=[]):
- self.name = name
- self.labels = labels # OK not to clone as we never write it
- def dimension(self):
- return len(self.labels)
- def is_scalar(self):
- return not len(self.labels)
- def _render_labelvalue(self, value):
- # TODO: some kind of value escape
- return '"%s"' % (value)
- def _render_key(self, values):
- if self.is_scalar():
- return ""
- return "{%s}" % (
- ",".join(["%s=%s" % (k, self._render_labelvalue(v))
- for k, v in zip(self.labels, values)])
- )
- def render(self):
- return map_concat(self.render_item, sorted(self.counts.keys()))
- class CounterMetric(BaseMetric):
- """The simplest kind of metric; one that stores a monotonically-increasing
- integer that counts events."""
- def __init__(self, *args, **kwargs):
- super(CounterMetric, self).__init__(*args, **kwargs)
- self.counts = {}
- # Scalar metrics are never empty
- if self.is_scalar():
- self.counts[()] = 0
- def inc_by(self, incr, *values):
- if len(values) != self.dimension():
- raise ValueError("Expected as many values to inc() as labels (%d)" %
- (self.dimension())
- )
- # TODO: should assert that the tag values are all strings
- if values not in self.counts:
- self.counts[values] = incr
- else:
- self.counts[values] += incr
- def inc(self, *values):
- self.inc_by(1, *values)
- def render_item(self, k):
- return ["%s%s %d" % (self.name, self._render_key(k), self.counts[k])]
- class CallbackMetric(BaseMetric):
- """A metric that returns the numeric value returned by a callback whenever
- it is rendered. Typically this is used to implement gauges that yield the
- size or other state of some in-memory object by actively querying it."""
- def __init__(self, name, callback, labels=[]):
- super(CallbackMetric, self).__init__(name, labels=labels)
- self.callback = callback
- def render(self):
- value = self.callback()
- if self.is_scalar():
- return ["%s %d" % (self.name, value)]
- return ["%s%s %d" % (self.name, self._render_key(k), value[k])
- for k in sorted(value.keys())]
- class DistributionMetric(object):
- """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, name, *args, **kwargs):
- self.counts = CounterMetric(name + ":count", **kwargs)
- self.totals = CounterMetric(name + ":total", **kwargs)
- def inc_by(self, inc, *values):
- self.counts.inc(*values)
- self.totals.inc_by(inc, *values)
- def render(self):
- return self.counts.render() + self.totals.render()
- class CacheMetric(object):
- """A combination of two CounterMetrics, one to count cache hits and one to
- count a total, and a callback metric to yield the current size.
- This metric generates standard metric name pairs, so that monitoring rules
- can easily be applied to measure hit ratio."""
- def __init__(self, name, size_callback, labels=[]):
- self.name = name
- self.hits = CounterMetric(name + ":hits", labels=labels)
- self.total = CounterMetric(name + ":total", labels=labels)
- self.size = CallbackMetric(name + ":size",
- callback=size_callback,
- labels=labels,
- )
- def inc_hits(self, *values):
- self.hits.inc(*values)
- self.total.inc(*values)
- def inc_misses(self, *values):
- self.total.inc(*values)
- def render(self):
- return self.hits.render() + self.total.render() + self.size.render()
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