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6d2d42f8fb
This was a bit unweildy for what I wanted: in particular, I wanted to assign each measurement straight into a bucket, rather than storing an intermediate Counter which didn't do any bucketing at all. I've replaced it with something that is hopefully a bit easier to use. (I'm not entirely sure what the difference between a HistogramMetricFamily and a GaugeHistogramMetricFamily is, but given our counters can go down as well as up the latter *sounds* more accurate?)
84 lines
3.4 KiB
Python
84 lines
3.4 KiB
Python
# -*- 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, generate_latest
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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, 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: b"synapse_forward_extremities_" in x,
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generate_latest(REGISTRY, emit_help=False).split(b"\n"),
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)
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)
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expected = [
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b'synapse_forward_extremities_bucket{le="1.0"} 0.0',
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b'synapse_forward_extremities_bucket{le="2.0"} 2.0',
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b'synapse_forward_extremities_bucket{le="3.0"} 2.0',
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b'synapse_forward_extremities_bucket{le="5.0"} 2.0',
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b'synapse_forward_extremities_bucket{le="7.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="10.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="15.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="20.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="50.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="100.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="200.0"} 3.0',
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b'synapse_forward_extremities_bucket{le="500.0"} 3.0',
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# per https://docs.google.com/document/d/1KwV0mAXwwbvvifBvDKH_LU1YjyXE_wxCkHNoCGq1GX0/edit#heading=h.wghdjzzh72j9,
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# "inf" is valid: "this includes variants such as inf"
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b'synapse_forward_extremities_bucket{le="inf"} 3.0',
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b"# TYPE synapse_forward_extremities_gcount gauge",
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b"synapse_forward_extremities_gcount 3.0",
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b"# TYPE synapse_forward_extremities_gsum gauge",
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b"synapse_forward_extremities_gsum 10.0",
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]
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self.assertEqual(items, expected)
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