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- # -*- coding: utf-8 -*-
- # Copyright 2015, 2016 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 tests import unittest
- from synapse.metrics.metric import (
- CounterMetric, CallbackMetric, DistributionMetric, CacheMetric
- )
- class CounterMetricTestCase(unittest.TestCase):
- def test_scalar(self):
- counter = CounterMetric("scalar")
- self.assertEquals(counter.render(), [
- 'scalar 0',
- ])
- counter.inc()
- self.assertEquals(counter.render(), [
- 'scalar 1',
- ])
- counter.inc_by(2)
- self.assertEquals(counter.render(), [
- 'scalar 3'
- ])
- def test_vector(self):
- counter = CounterMetric("vector", labels=["method"])
- # Empty counter doesn't yet know what values it has
- self.assertEquals(counter.render(), [])
- counter.inc("GET")
- self.assertEquals(counter.render(), [
- 'vector{method="GET"} 1',
- ])
- counter.inc("GET")
- counter.inc("PUT")
- self.assertEquals(counter.render(), [
- 'vector{method="GET"} 2',
- 'vector{method="PUT"} 1',
- ])
- class CallbackMetricTestCase(unittest.TestCase):
- def test_scalar(self):
- d = dict()
- metric = CallbackMetric("size", lambda: len(d))
- self.assertEquals(metric.render(), [
- 'size 0',
- ])
- d["key"] = "value"
- self.assertEquals(metric.render(), [
- 'size 1',
- ])
- def test_vector(self):
- vals = dict()
- metric = CallbackMetric("values", lambda: vals, labels=["type"])
- self.assertEquals(metric.render(), [])
- # Keys have to be tuples, even if they're 1-element
- vals[("foo",)] = 1
- vals[("bar",)] = 2
- self.assertEquals(metric.render(), [
- 'values{type="bar"} 2',
- 'values{type="foo"} 1',
- ])
- class DistributionMetricTestCase(unittest.TestCase):
- def test_scalar(self):
- metric = DistributionMetric("thing")
- self.assertEquals(metric.render(), [
- 'thing:count 0',
- 'thing:total 0',
- ])
- metric.inc_by(500)
- self.assertEquals(metric.render(), [
- 'thing:count 1',
- 'thing:total 500',
- ])
- def test_vector(self):
- metric = DistributionMetric("queries", labels=["verb"])
- self.assertEquals(metric.render(), [])
- metric.inc_by(300, "SELECT")
- metric.inc_by(200, "SELECT")
- metric.inc_by(800, "INSERT")
- self.assertEquals(metric.render(), [
- 'queries:count{verb="INSERT"} 1',
- 'queries:count{verb="SELECT"} 2',
- 'queries:total{verb="INSERT"} 800',
- 'queries:total{verb="SELECT"} 500',
- ])
- class CacheMetricTestCase(unittest.TestCase):
- def test_cache(self):
- d = dict()
- metric = CacheMetric("cache", lambda: len(d), "cache_name")
- self.assertEquals(metric.render(), [
- 'cache:hits{name="cache_name"} 0',
- 'cache:total{name="cache_name"} 0',
- 'cache:size{name="cache_name"} 0',
- 'cache:evicted_size{name="cache_name"} 0',
- ])
- metric.inc_misses()
- d["key"] = "value"
- self.assertEquals(metric.render(), [
- 'cache:hits{name="cache_name"} 0',
- 'cache:total{name="cache_name"} 1',
- 'cache:size{name="cache_name"} 1',
- 'cache:evicted_size{name="cache_name"} 0',
- ])
- metric.inc_hits()
- self.assertEquals(metric.render(), [
- 'cache:hits{name="cache_name"} 1',
- 'cache:total{name="cache_name"} 2',
- 'cache:size{name="cache_name"} 1',
- 'cache:evicted_size{name="cache_name"} 0',
- ])
- metric.inc_evictions(2)
- self.assertEquals(metric.render(), [
- 'cache:hits{name="cache_name"} 1',
- 'cache:total{name="cache_name"} 2',
- 'cache:size{name="cache_name"} 1',
- 'cache:evicted_size{name="cache_name"} 2',
- ])
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