98 lines
3 KiB
Python
98 lines
3 KiB
Python
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# -*- coding: utf-8 -*-
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# Copyright 2019 The Matrix.org Foundation C.I.C.
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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 REGISTRY
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from synapse.types import Requester, UserID
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from tests.unittest import HomeserverTestCase
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class ExtremStatisticsTestCase(HomeserverTestCase):
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def test_exposed_to_prometheus(self):
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"""
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Forward extremity counts are exposed via Prometheus.
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"""
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room_creator = self.hs.get_room_creation_handler()
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user = UserID("alice", "test")
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requester = Requester(user, None, False, None, None)
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# Real events, forward extremities
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events = [(3, 2), (6, 2), (4, 6)]
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for event_count, extrems in events:
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info = self.get_success(room_creator.create_room(requester, {}))
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room_id = info["room_id"]
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last_event = None
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# Make a real event chain
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for i in range(event_count):
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ev = self.create_and_send_event(room_id, user, False, last_event)
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last_event = [ev]
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# Sprinkle in some extremities
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for i in range(extrems):
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ev = self.create_and_send_event(room_id, user, False, last_event)
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# Let it run for a while, then pull out the statistics from the
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# Prometheus client registry
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self.reactor.advance(60 * 60 * 1000)
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self.pump(1)
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items = list(
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filter(
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lambda x: x.name == "synapse_forward_extremities",
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list(REGISTRY.collect()),
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)
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)
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# Check the values are what we want
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buckets = {}
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_count = 0
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_sum = 0
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for i in items[0].samples:
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if i[0].endswith("_bucket"):
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buckets[i[1]['le']] = i[2]
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elif i[0].endswith("_count"):
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_count = i[2]
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elif i[0].endswith("_sum"):
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_sum = i[2]
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# 3 buckets, 2 with 2 extrems, 1 with 6 extrems (bucketed as 7), and
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# +Inf which is all
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self.assertEqual(
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buckets,
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{
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1.0: 0,
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2.0: 2,
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3.0: 0,
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5.0: 0,
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7.0: 1,
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10.0: 0,
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15.0: 0,
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20.0: 0,
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50.0: 0,
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100.0: 0,
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200.0: 0,
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500.0: 0,
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"+Inf": 3,
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},
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)
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# 3 rooms, with 10 total events
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self.assertEqual(_count, 3)
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self.assertEqual(_sum, 10)
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