mirror of
https://github.com/element-hq/synapse.git
synced 2026-07-19 07:17:12 +00:00
Will HuntandGitHub
2bb3aac839
This reports the total count of users (split by appservice) which is meant to be the monthless counterpart to the MAU metric. Context: > So this is largely for billing purposes and wanting to know the change in the number of users. If a user is deactivated then we no longer want to count them. Consumers *might* want to count appservice users, and maybe count them based on the service (perhaps you change more for users under bridge X or bridge Y). > > *-- https://github.com/element-hq/synapse/pull/19848#discussion_r3402216234*
41 lines
1.2 KiB
Python
41 lines
1.2 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) 2026 Element Creations 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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from synapse.metrics import (
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REGISTRY,
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generate_latest,
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)
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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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