MatrixSynapse/synapse/util/caches/__init__.py

114 lines
3.0 KiB
Python

# -*- coding: utf-8 -*-
# Copyright 2015, 2016 OpenMarket Ltd
#
# 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.core import GaugeMetricFamily, REGISTRY
import os
CACHE_SIZE_FACTOR = float(os.environ.get("SYNAPSE_CACHE_FACTOR", 0.5))
caches_by_name = {}
collectors_by_name = {}
def register_cache(name, cache_name, cache):
# Check if the metric is already registered. Unregister it, if so.
metric_name = "synapse_util_caches_%s:%s" % (name, cache_name,)
if metric_name in collectors_by_name.keys():
REGISTRY.unregister(collectors_by_name[metric_name])
class CacheMetric(object):
hits = 0
misses = 0
evicted_size = 0
def inc_hits(self):
self.hits += 1
def inc_misses(self):
self.misses += 1
def inc_evictions(self, size=1):
self.evicted_size += size
def collect(self):
cache_size = len(cache)
gm = GaugeMetricFamily(metric_name, "", labels=["size", "hits", "misses", "total"])
gm.add_metric(["size"], cache_size)
gm.add_metric(["hits"], self.hits)
gm.add_metric(["misses"], self.misses)
gm.add_metric(["total"], self.hits + self.misses)
yield gm
metric = CacheMetric()
REGISTRY.register(metric)
caches_by_name[cache_name] = cache
collectors_by_name[metric_name] = metric
return metric
KNOWN_KEYS = {
key: key for key in
(
"auth_events",
"content",
"depth",
"event_id",
"hashes",
"origin",
"origin_server_ts",
"prev_events",
"room_id",
"sender",
"signatures",
"state_key",
"type",
"unsigned",
"user_id",
)
}
def intern_string(string):
"""Takes a (potentially) unicode string and interns it if it's ascii
"""
if string is None:
return None
try:
string = string.encode("ascii")
return intern(string)
except UnicodeEncodeError:
return string
def intern_dict(dictionary):
"""Takes a dictionary and interns well known keys and their values
"""
return {
KNOWN_KEYS.get(key, key): _intern_known_values(key, value)
for key, value in dictionary.items()
}
def _intern_known_values(key, value):
intern_keys = ("event_id", "room_id", "sender", "user_id", "type", "state_key",)
if key in intern_keys:
return intern_string(value)
return value