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48b7ff7a35
prometheus_client 0.5 has a named-tuple Sample type with more member than the old plain tuple had. This commit makes sure the unit test detects this and changes the way it reads the sample. Signed-off-by: Maarten de Vries <maarten@de-vri.es>
103 lines
3.2 KiB
Python
103 lines
3.2 KiB
Python
# -*- 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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def get_sample_labels_value(sample):
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""" Extract the labels and values of a sample.
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prometheus_client 0.5 changed the sample type to a named tuple with more
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members than the plain tuple had in 0.4 and earlier. This function can
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extract the labels and value from the sample for both sample types.
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Args:
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sample: The sample to get the labels and value from.
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Returns:
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A tuple of (labels, value) from the sample.
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"""
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# If the sample has a labels and value attribute, use those.
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if hasattr(sample, "labels") and hasattr(sample, "value"):
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return sample.labels, sample.value
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# Otherwise fall back to treating it as a plain 3 tuple.
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else:
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_, labels, value = sample
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return labels, value
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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 map(get_sample_labels_value, r.samples)
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}
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return results
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