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synapse/tests/test_metrics.py
2019-05-10 00:12:11 -05:00

113 lines
3.4 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2018 New Vector 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 synapse.metrics import InFlightGauge
from tests import unittest
def get_sample_labels_value(sample):
""" Extract the labels and values of a sample.
prometheus_client 0.5 changed the sample type to a named tuple with more
members than the plain tuple had in 0.4 and earlier. This function can
extract the labels and value from the sample for both sample types.
Args:
sample: The sample to get the labels and value from.
Returns:
A tuple of (labels, value) from the sample.
"""
# If the sample has a labels and value attribute, use those.
if hasattr(sample, "labels") and hasattr(sample, "value"):
return sample.labels, sample.value
# Otherwise fall back to treating it as a plain 3 tuple.
else:
_, labels, value = sample
return labels, value
class TestMauLimit(unittest.TestCase):
def test_basic(self):
gauge = InFlightGauge(
"test1", "", labels=["test_label"], sub_metrics=["foo", "bar"]
)
def handle1(metrics):
metrics.foo += 2
metrics.bar = max(metrics.bar, 5)
def handle2(metrics):
metrics.foo += 3
metrics.bar = max(metrics.bar, 7)
gauge.register(("key1",), handle1)
self.assert_dict(
{
"test1_total": {("key1",): 1},
"test1_foo": {("key1",): 2},
"test1_bar": {("key1",): 5},
},
self.get_metrics_from_gauge(gauge),
)
gauge.unregister(("key1",), handle1)
self.assert_dict(
{
"test1_total": {("key1",): 0},
"test1_foo": {("key1",): 0},
"test1_bar": {("key1",): 0},
},
self.get_metrics_from_gauge(gauge),
)
gauge.register(("key1",), handle1)
gauge.register(("key2",), handle2)
self.assert_dict(
{
"test1_total": {("key1",): 1, ("key2",): 1},
"test1_foo": {("key1",): 2, ("key2",): 3},
"test1_bar": {("key1",): 5, ("key2",): 7},
},
self.get_metrics_from_gauge(gauge),
)
gauge.unregister(("key2",), handle2)
gauge.register(("key1",), handle2)
self.assert_dict(
{
"test1_total": {("key1",): 2, ("key2",): 0},
"test1_foo": {("key1",): 5, ("key2",): 0},
"test1_bar": {("key1",): 7, ("key2",): 0},
},
self.get_metrics_from_gauge(gauge),
)
def get_metrics_from_gauge(self, gauge):
results = {}
for r in gauge.collect():
results[r.name] = {
tuple(labels[x] for x in gauge.labels): value
for labels, value in map(get_sample_labels_value, r.samples)
}
return results