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Tests
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tests/test_metrics.py
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81
tests/test_metrics.py
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# -*- coding: utf-8 -*-
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# Copyright 2018 New Vector 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 synapse.metrics import InFlightGauge
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from tests import unittest
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class TestMauLimit(unittest.TestCase):
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def test_basic(self):
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gauge = InFlightGauge(
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"test1", "",
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labels=["test_label"],
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sub_metrics=["foo", "bar"],
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)
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def handle1(metrics):
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metrics.foo += 2
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metrics.bar = max(metrics.bar, 5)
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def handle2(metrics):
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metrics.foo += 3
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metrics.bar = max(metrics.bar, 7)
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gauge.register(("key1",), handle1)
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self.assert_dict({
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"test1_total": {("key1",): 1},
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"test1_foo": {("key1",): 2},
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"test1_bar": {("key1",): 5},
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}, self.get_metrics_from_gauge(gauge))
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gauge.unregister(("key1",), handle1)
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self.assert_dict({
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"test1_total": {("key1",): 0},
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"test1_foo": {("key1",): 0},
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"test1_bar": {("key1",): 0},
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}, self.get_metrics_from_gauge(gauge))
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gauge.register(("key1",), handle1)
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gauge.register(("key2",), handle2)
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self.assert_dict({
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"test1_total": {("key1",): 1, ("key2",): 1},
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"test1_foo": {("key1",): 2, ("key2",): 3},
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"test1_bar": {("key1",): 5, ("key2",): 7},
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}, self.get_metrics_from_gauge(gauge))
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gauge.unregister(("key2",), handle2)
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gauge.register(("key1",), handle2)
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self.assert_dict({
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"test1_total": {("key1",): 2, ("key2",): 0},
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"test1_foo": {("key1",): 5, ("key2",): 0},
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"test1_bar": {("key1",): 7, ("key2",): 0},
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}, self.get_metrics_from_gauge(gauge))
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def get_metrics_from_gauge(self, gauge):
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results = {}
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for r in gauge.collect():
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results[r.name] = {
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tuple(labels[x] for x in gauge.labels): value
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for _, labels, value in r.samples
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}
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return results
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