175 lines
5.2 KiB
Python
175 lines
5.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015, 2016 OpenMarket Ltd
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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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import logging
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import os
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from typing import Dict
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import six
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from six.moves import intern
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from prometheus_client.core import REGISTRY, Gauge, GaugeMetricFamily
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logger = logging.getLogger(__name__)
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CACHE_SIZE_FACTOR = float(os.environ.get("SYNAPSE_CACHE_FACTOR", 0.5))
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def get_cache_factor_for(cache_name):
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env_var = "SYNAPSE_CACHE_FACTOR_" + cache_name.upper()
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factor = os.environ.get(env_var)
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if factor:
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return float(factor)
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return CACHE_SIZE_FACTOR
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caches_by_name = {}
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collectors_by_name = {} # type: Dict
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cache_size = Gauge("synapse_util_caches_cache:size", "", ["name"])
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cache_hits = Gauge("synapse_util_caches_cache:hits", "", ["name"])
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cache_evicted = Gauge("synapse_util_caches_cache:evicted_size", "", ["name"])
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cache_total = Gauge("synapse_util_caches_cache:total", "", ["name"])
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response_cache_size = Gauge("synapse_util_caches_response_cache:size", "", ["name"])
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response_cache_hits = Gauge("synapse_util_caches_response_cache:hits", "", ["name"])
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response_cache_evicted = Gauge(
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"synapse_util_caches_response_cache:evicted_size", "", ["name"]
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)
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response_cache_total = Gauge("synapse_util_caches_response_cache:total", "", ["name"])
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def register_cache(cache_type, cache_name, cache, collect_callback=None):
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"""Register a cache object for metric collection.
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Args:
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cache_type (str):
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cache_name (str): name of the cache
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cache (object): cache itself
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collect_callback (callable|None): if not None, a function which is called during
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metric collection to update additional metrics.
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Returns:
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CacheMetric: an object which provides inc_{hits,misses,evictions} methods
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"""
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# Check if the metric is already registered. Unregister it, if so.
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# This usually happens during tests, as at runtime these caches are
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# effectively singletons.
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metric_name = "cache_%s_%s" % (cache_type, cache_name)
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if metric_name in collectors_by_name.keys():
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REGISTRY.unregister(collectors_by_name[metric_name])
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class CacheMetric(object):
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hits = 0
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misses = 0
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evicted_size = 0
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def inc_hits(self):
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self.hits += 1
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def inc_misses(self):
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self.misses += 1
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def inc_evictions(self, size=1):
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self.evicted_size += size
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def describe(self):
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return []
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def collect(self):
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try:
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if cache_type == "response_cache":
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response_cache_size.labels(cache_name).set(len(cache))
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response_cache_hits.labels(cache_name).set(self.hits)
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response_cache_evicted.labels(cache_name).set(self.evicted_size)
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response_cache_total.labels(cache_name).set(self.hits + self.misses)
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else:
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cache_size.labels(cache_name).set(len(cache))
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cache_hits.labels(cache_name).set(self.hits)
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cache_evicted.labels(cache_name).set(self.evicted_size)
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cache_total.labels(cache_name).set(self.hits + self.misses)
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if collect_callback:
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collect_callback()
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except Exception as e:
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logger.warn("Error calculating metrics for %s: %s", cache_name, e)
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raise
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yield GaugeMetricFamily("__unused", "")
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metric = CacheMetric()
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REGISTRY.register(metric)
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caches_by_name[cache_name] = cache
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collectors_by_name[metric_name] = metric
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return metric
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KNOWN_KEYS = {
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key: key
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for key in (
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"auth_events",
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"content",
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"depth",
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"event_id",
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"hashes",
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"origin",
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"origin_server_ts",
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"prev_events",
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"room_id",
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"sender",
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"signatures",
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"state_key",
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"type",
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"unsigned",
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"user_id",
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)
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}
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def intern_string(string):
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"""Takes a (potentially) unicode string and interns it if it's ascii
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"""
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if string is None:
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return None
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try:
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if six.PY2:
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string = string.encode("ascii")
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return intern(string)
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except UnicodeEncodeError:
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return string
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def intern_dict(dictionary):
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"""Takes a dictionary and interns well known keys and their values
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"""
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return {
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KNOWN_KEYS.get(key, key): _intern_known_values(key, value)
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for key, value in dictionary.items()
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}
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def _intern_known_values(key, value):
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intern_keys = ("event_id", "room_id", "sender", "user_id", "type", "state_key")
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if key in intern_keys:
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return intern_string(value)
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return value
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