mirror of
https://github.com/element-hq/synapse.git
synced 2024-11-25 19:15:51 +03:00
161 lines
3.9 KiB
Python
161 lines
3.9 KiB
Python
# -*- 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 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))
|
|
|
|
self.assertEquals(metric.render(), [
|
|
'cache:hits 0',
|
|
'cache:total 0',
|
|
'cache:size 0',
|
|
])
|
|
|
|
metric.inc_misses()
|
|
d["key"] = "value"
|
|
|
|
self.assertEquals(metric.render(), [
|
|
'cache:hits 0',
|
|
'cache:total 1',
|
|
'cache:size 1',
|
|
])
|
|
|
|
metric.inc_hits()
|
|
|
|
self.assertEquals(metric.render(), [
|
|
'cache:hits 1',
|
|
'cache:total 2',
|
|
'cache:size 1',
|
|
])
|