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',
+ ])
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