1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
# Copyright 2019 The Matrix.org Foundation C.I.C.
#
# 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 prometheus_client import generate_latest
from synapse.metrics import REGISTRY
from synapse.types import UserID, create_requester
from tests.unittest import HomeserverTestCase
class ExtremStatisticsTestCase(HomeserverTestCase):
def test_exposed_to_prometheus(self) -> None:
"""
Forward extremity counts are exposed via Prometheus.
"""
room_creator = self.hs.get_room_creation_handler()
user = UserID("alice", "test")
requester = create_requester(user)
# Real events, forward extremities
events = [(3, 2), (6, 2), (4, 6)]
for event_count, extrems in events:
info, _ = self.get_success(room_creator.create_room(requester, {}))
room_id = info["room_id"]
last_event = None
# Make a real event chain
for _ in range(event_count):
ev = self.create_and_send_event(room_id, user, False, last_event)
last_event = [ev]
# Sprinkle in some extremities
for _ in range(extrems):
ev = self.create_and_send_event(room_id, user, False, last_event)
# Let it run for a while, then pull out the statistics from the
# Prometheus client registry
self.reactor.advance(60 * 60 * 1000)
self.pump(1)
items = list(
filter(
lambda x: b"synapse_forward_extremities_" in x and b"# HELP" not in x,
generate_latest(REGISTRY).split(b"\n"),
)
)
expected = [
b'synapse_forward_extremities_bucket{le="1.0"} 0.0',
b'synapse_forward_extremities_bucket{le="2.0"} 2.0',
b'synapse_forward_extremities_bucket{le="3.0"} 2.0',
b'synapse_forward_extremities_bucket{le="5.0"} 2.0',
b'synapse_forward_extremities_bucket{le="7.0"} 3.0',
b'synapse_forward_extremities_bucket{le="10.0"} 3.0',
b'synapse_forward_extremities_bucket{le="15.0"} 3.0',
b'synapse_forward_extremities_bucket{le="20.0"} 3.0',
b'synapse_forward_extremities_bucket{le="50.0"} 3.0',
b'synapse_forward_extremities_bucket{le="100.0"} 3.0',
b'synapse_forward_extremities_bucket{le="200.0"} 3.0',
b'synapse_forward_extremities_bucket{le="500.0"} 3.0',
# per https://docs.google.com/document/d/1KwV0mAXwwbvvifBvDKH_LU1YjyXE_wxCkHNoCGq1GX0/edit#heading=h.wghdjzzh72j9,
# "inf" is valid: "this includes variants such as inf"
b'synapse_forward_extremities_bucket{le="inf"} 3.0',
b"# TYPE synapse_forward_extremities_gcount gauge",
b"synapse_forward_extremities_gcount 3.0",
b"# TYPE synapse_forward_extremities_gsum gauge",
b"synapse_forward_extremities_gsum 10.0",
]
self.assertEqual(items, expected)
|