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129 lines
3 KiB
Python
129 lines
3 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015 OpenMarket Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from tests import unittest
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from synapse.metrics.metric import (
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CounterMetric, CallbackMetric, CacheMetric
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)
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class CounterMetricTestCase(unittest.TestCase):
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def test_scalar(self):
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counter = CounterMetric("scalar")
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self.assertEquals(counter.render(), [
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"scalar 0",
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])
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counter.inc()
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self.assertEquals(counter.render(), [
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"scalar 1",
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])
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counter.inc()
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counter.inc()
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self.assertEquals(counter.render(), [
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"scalar 3"
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])
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def test_vector(self):
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counter = CounterMetric("vector", keys=["method"])
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# Empty counter doesn't yet know what values it has
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self.assertEquals(counter.render(), [])
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counter.inc("GET")
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self.assertEquals(counter.render(), [
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"vector{method=GET} 1",
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])
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counter.inc("GET")
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counter.inc("PUT")
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self.assertEquals(counter.render(), [
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"vector{method=GET} 2",
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"vector{method=PUT} 1",
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])
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class CallbackMetricTestCase(unittest.TestCase):
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def test_scalar(self):
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d = dict()
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metric = CallbackMetric("size", lambda: len(d))
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self.assertEquals(metric.render(), [
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"size 0",
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])
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d["key"] = "value"
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self.assertEquals(metric.render(), [
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"size 1",
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])
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def test_vector(self):
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vals = dict()
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metric = CallbackMetric("values", lambda: vals, keys=["type"])
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self.assertEquals(metric.render(), [])
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# Keys have to be tuples, even if they're 1-element
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vals[("foo",)] = 1
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vals[("bar",)] = 2
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self.assertEquals(metric.render(), [
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"values{type=bar} 2",
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"values{type=foo} 1",
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])
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class CacheMetricTestCase(unittest.TestCase):
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def test_cache(self):
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d = dict()
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metric = CacheMetric("cache", lambda: len(d))
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self.assertEquals(metric.render(), [
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"cache:hits 0",
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"cache:misses 0",
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"cache:size 0",
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])
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metric.inc_misses()
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d["key"] = "value"
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self.assertEquals(metric.render(), [
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"cache:hits 0",
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"cache:misses 1",
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"cache:size 1",
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])
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metric.inc_hits()
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self.assertEquals(metric.render(), [
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"cache:hits 1",
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"cache:misses 1",
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"cache:size 1",
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])
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