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author | Kegan Dougal <kegan@matrix.org> | 2015-03-16 10:09:15 +0000 |
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committer | Kegan Dougal <kegan@matrix.org> | 2015-03-16 10:09:15 +0000 |
commit | f9232c7917322de392921336b4bab5d85c213c4e (patch) | |
tree | ab55547f1c895da508e6ac37c8056fef5b3b754e /tests/metrics | |
parent | Fix remaining scheduler bugs. Add more informative logging. (diff) | |
parent | add ToC and fix typoe (diff) | |
download | synapse-f9232c7917322de392921336b4bab5d85c213c4e.tar.xz |
Merge branch 'develop' into application-services-txn-reliability
Conflicts: synapse/storage/appservice.py
Diffstat (limited to 'tests/metrics')
-rw-r--r-- | tests/metrics/__init__.py | 0 | ||||
-rw-r--r-- | tests/metrics/test_metric.py | 161 |
2 files changed, 161 insertions, 0 deletions
diff --git a/tests/metrics/__init__.py b/tests/metrics/__init__.py new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/tests/metrics/__init__.py diff --git a/tests/metrics/test_metric.py b/tests/metrics/test_metric.py new file mode 100644 index 0000000000..6009014297 --- /dev/null +++ b/tests/metrics/test_metric.py @@ -0,0 +1,161 @@ +# -*- 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', + ]) |