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309 lines
11 KiB
Python
309 lines
11 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 2019 Matrix.org Foundation C.I.C.
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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 typing import Dict, Protocol, Tuple
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from prometheus_client.core import Sample
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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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# This is a test and does not matter if it uses `SERVER_NAME_LABEL`.
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gauge: InFlightGauge[MetricEntry] = InFlightGauge( # type: ignore[missing-server-name-label]
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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(
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name=CACHE_NAME, server_name=self.hs.hostname, max_entries=777
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)
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metrics_map = get_latest_metrics()
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cache_size_metric = f'synapse_util_caches_cache_size{{name="{CACHE_NAME}",server_name="{self.hs.hostname}"}}'
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cache_max_size_metric = f'synapse_util_caches_cache_max_size{{name="{CACHE_NAME}",server_name="{self.hs.hostname}"}}'
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cache_size_metric_value = metrics_map.get(cache_size_metric)
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self.assertIsNotNone(
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cache_size_metric_value,
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f"Missing metric {cache_size_metric} in cache metrics {metrics_map}",
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)
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cache_max_size_metric_value = metrics_map.get(cache_max_size_metric)
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self.assertIsNotNone(
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cache_max_size_metric_value,
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f"Missing metric {cache_max_size_metric} in cache metrics {metrics_map}",
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)
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self.assertEqual(cache_size_metric_value, "0.0")
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self.assertEqual(cache_max_size_metric_value, "777.0")
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cache.prefill("1", "hi")
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metrics_map = get_latest_metrics()
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cache_size_metric_value = metrics_map.get(cache_size_metric)
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self.assertIsNotNone(
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cache_size_metric_value,
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f"Missing metric {cache_size_metric} in cache metrics {metrics_map}",
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)
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cache_max_size_metric_value = metrics_map.get(cache_max_size_metric)
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self.assertIsNotNone(
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cache_max_size_metric_value,
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f"Missing metric {cache_max_size_metric} in cache metrics {metrics_map}",
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)
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self.assertEqual(cache_size_metric_value, "1.0")
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self.assertEqual(cache_max_size_metric_value, "777.0")
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def test_cache_metric_multiple_servers(self) -> None:
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"""
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Test that cache metrics are reported correctly across multiple servers. We will
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have an metrics entry for each homeserver that is labeled with the `server_name`
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label.
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"""
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CACHE_NAME = "cache_metric_multiple_servers_test"
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cache1: DeferredCache[str, str] = DeferredCache(
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name=CACHE_NAME, server_name="hs1", max_entries=777
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)
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cache2: DeferredCache[str, str] = DeferredCache(
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name=CACHE_NAME, server_name="hs2", max_entries=777
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)
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metrics_map = get_latest_metrics()
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hs1_cache_size_metric = (
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f'synapse_util_caches_cache_size{{name="{CACHE_NAME}",server_name="hs1"}}'
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)
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hs2_cache_size_metric = (
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f'synapse_util_caches_cache_size{{name="{CACHE_NAME}",server_name="hs2"}}'
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)
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hs1_cache_max_size_metric = f'synapse_util_caches_cache_max_size{{name="{CACHE_NAME}",server_name="hs1"}}'
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hs2_cache_max_size_metric = f'synapse_util_caches_cache_max_size{{name="{CACHE_NAME}",server_name="hs2"}}'
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# Find the metrics for the caches from both homeservers
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hs1_cache_size_metric_value = metrics_map.get(hs1_cache_size_metric)
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self.assertIsNotNone(
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hs1_cache_size_metric_value,
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f"Missing metric {hs1_cache_size_metric} in cache metrics {metrics_map}",
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)
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hs2_cache_size_metric_value = metrics_map.get(hs2_cache_size_metric)
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self.assertIsNotNone(
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hs2_cache_size_metric_value,
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f"Missing metric {hs2_cache_size_metric} in cache metrics {metrics_map}",
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)
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hs1_cache_max_size_metric_value = metrics_map.get(hs1_cache_max_size_metric)
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self.assertIsNotNone(
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hs1_cache_max_size_metric_value,
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f"Missing metric {hs1_cache_max_size_metric} in cache metrics {metrics_map}",
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)
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hs2_cache_max_size_metric_value = metrics_map.get(hs2_cache_max_size_metric)
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self.assertIsNotNone(
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hs2_cache_max_size_metric_value,
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f"Missing metric {hs2_cache_max_size_metric} in cache metrics {metrics_map}",
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)
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# Sanity check the metric values
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self.assertEqual(hs1_cache_size_metric_value, "0.0")
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self.assertEqual(hs2_cache_size_metric_value, "0.0")
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self.assertEqual(hs1_cache_max_size_metric_value, "777.0")
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self.assertEqual(hs2_cache_max_size_metric_value, "777.0")
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# Add something to both caches to change the numbers
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cache1.prefill("1", "hi")
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cache2.prefill("2", "ho")
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metrics_map = get_latest_metrics()
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# Find the metrics for the caches from both homeservers
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hs1_cache_size_metric_value = metrics_map.get(hs1_cache_size_metric)
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self.assertIsNotNone(
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hs1_cache_size_metric_value,
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f"Missing metric {hs1_cache_size_metric} in cache metrics {metrics_map}",
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)
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hs2_cache_size_metric_value = metrics_map.get(hs2_cache_size_metric)
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self.assertIsNotNone(
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hs2_cache_size_metric_value,
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f"Missing metric {hs2_cache_size_metric} in cache metrics {metrics_map}",
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)
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hs1_cache_max_size_metric_value = metrics_map.get(hs1_cache_max_size_metric)
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self.assertIsNotNone(
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hs1_cache_max_size_metric_value,
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f"Missing metric {hs1_cache_max_size_metric} in cache metrics {metrics_map}",
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)
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hs2_cache_max_size_metric_value = metrics_map.get(hs2_cache_max_size_metric)
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self.assertIsNotNone(
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hs2_cache_max_size_metric_value,
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f"Missing metric {hs2_cache_max_size_metric} in cache metrics {metrics_map}",
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)
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# Sanity check the metric values
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self.assertEqual(hs1_cache_size_metric_value, "1.0")
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self.assertEqual(hs2_cache_size_metric_value, "1.0")
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self.assertEqual(hs1_cache_max_size_metric_value, "777.0")
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self.assertEqual(hs2_cache_max_size_metric_value, "777.0")
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def get_latest_metrics() -> Dict[str, str]:
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"""
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Collect the latest metrics from the registry and parse them into an easy to use map.
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The key includes the metric name and labels.
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Example output:
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{
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"synapse_util_caches_cache_size": "0.0",
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"synapse_util_caches_cache_max_size{name="some_cache",server_name="hs1"}": "777.0",
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...
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}
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"""
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metric_map = {
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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: len(x) > 0 and not x.startswith(b"#"),
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generate_latest(REGISTRY).split(b"\n"),
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)
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}
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return metric_map
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