mirror of
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213 lines
7.1 KiB
Python
213 lines
7.1 KiB
Python
#
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# This file is licensed under the Affero General Public License (AGPL) version 3.
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#
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# Copyright (C) 2023 New Vector, Ltd
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as
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# published by the Free Software Foundation, either version 3 of the
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# License, or (at your option) any later version.
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#
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# See the GNU Affero General Public License for more details:
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# <https://www.gnu.org/licenses/agpl-3.0.html>.
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#
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# Originally licensed under the Apache License, Version 2.0:
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# <http://www.apache.org/licenses/LICENSE-2.0>.
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#
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# [This file includes modifications made by New Vector Limited]
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#
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#
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from importlib import metadata
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from typing import Dict, Tuple
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from unittest.mock import patch
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from pkg_resources import parse_version
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from prometheus_client.core import Sample
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from typing_extensions import Protocol
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from synapse.app._base import _set_prometheus_client_use_created_metrics
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from synapse.metrics import REGISTRY, InFlightGauge, generate_latest
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from synapse.util.caches.deferred_cache import DeferredCache
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from tests import unittest
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def get_sample_labels_value(sample: Sample) -> Tuple[Dict[str, str], float]:
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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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# In older versions of prometheus_client Sample was a 3-tuple.
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labels: Dict[str, str]
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value: float
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_, labels, value = sample # type: ignore[misc]
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return labels, value
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class TestMauLimit(unittest.TestCase):
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def test_basic(self) -> None:
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class MetricEntry(Protocol):
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foo: int
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bar: int
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gauge: InFlightGauge[MetricEntry] = InFlightGauge(
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"test1", "", labels=["test_label"], sub_metrics=["foo", "bar"]
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)
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def handle1(metrics: MetricEntry) -> None:
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metrics.foo += 2
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metrics.bar = max(metrics.bar, 5)
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def handle2(metrics: MetricEntry) -> None:
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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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{
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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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},
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self.get_metrics_from_gauge(gauge),
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)
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gauge.unregister(("key1",), handle1)
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self.assert_dict(
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{
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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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},
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self.get_metrics_from_gauge(gauge),
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)
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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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{
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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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},
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self.get_metrics_from_gauge(gauge),
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)
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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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{
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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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},
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self.get_metrics_from_gauge(gauge),
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)
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def get_metrics_from_gauge(
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self, gauge: InFlightGauge
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) -> Dict[str, Dict[Tuple[str, ...], float]]:
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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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class BuildInfoTests(unittest.TestCase):
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def test_get_build(self) -> None:
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"""
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The synapse_build_info metric reports the OS version, Python version,
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and Synapse version.
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"""
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items = list(
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filter(
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lambda x: b"synapse_build_info{" in x,
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generate_latest(REGISTRY).split(b"\n"),
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)
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)
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self.assertEqual(len(items), 1)
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self.assertTrue(b"osversion=" in items[0])
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self.assertTrue(b"pythonversion=" in items[0])
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self.assertTrue(b"version=" in items[0])
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class CacheMetricsTests(unittest.HomeserverTestCase):
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def test_cache_metric(self) -> None:
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"""
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Caches produce metrics reflecting their state when scraped.
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"""
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CACHE_NAME = "cache_metrics_test_fgjkbdfg"
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cache: DeferredCache[str, str] = DeferredCache(CACHE_NAME, max_entries=777)
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items = {
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x.split(b"{")[0].decode("ascii"): x.split(b" ")[1].decode("ascii")
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for x in filter(
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lambda x: b"cache_metrics_test_fgjkbdfg" in x,
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generate_latest(REGISTRY).split(b"\n"),
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)
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}
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self.assertEqual(items["synapse_util_caches_cache_size"], "0.0")
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self.assertEqual(items["synapse_util_caches_cache_max_size"], "777.0")
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cache.prefill("1", "hi")
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items = {
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x.split(b"{")[0].decode("ascii"): x.split(b" ")[1].decode("ascii")
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for x in filter(
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lambda x: b"cache_metrics_test_fgjkbdfg" in x,
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generate_latest(REGISTRY).split(b"\n"),
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)
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}
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self.assertEqual(items["synapse_util_caches_cache_size"], "1.0")
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self.assertEqual(items["synapse_util_caches_cache_max_size"], "777.0")
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class PrometheusMetricsHackTestCase(unittest.HomeserverTestCase):
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if parse_version(metadata.version("prometheus_client")) < parse_version("0.14.0"):
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skip = "prometheus-client too old"
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def test_created_metrics_disabled(self) -> None:
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"""
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Tests that a brittle hack, to disable `_created` metrics, works.
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This involves poking at the internals of prometheus-client.
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It's not the end of the world if this doesn't work.
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This test gives us a way to notice if prometheus-client changes
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their internals.
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"""
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import prometheus_client.metrics
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PRIVATE_FLAG_NAME = "_use_created"
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# By default, the pesky `_created` metrics are enabled.
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# Check this assumption is still valid.
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self.assertTrue(getattr(prometheus_client.metrics, PRIVATE_FLAG_NAME))
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with patch("prometheus_client.metrics") as mock:
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setattr(mock, PRIVATE_FLAG_NAME, True)
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_set_prometheus_client_use_created_metrics(False)
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self.assertFalse(getattr(mock, PRIVATE_FLAG_NAME, False))
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