1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
|
# -*- coding: utf-8 -*-
# Copyright 2015 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.
# Because otherwise 'resource' collides with synapse.metrics.resource
from __future__ import absolute_import
import logging
from resource import getrusage, getpagesize, RUSAGE_SELF
from .metric import CounterMetric, CallbackMetric, TimerMetric, CacheMetric
logger = logging.getLogger(__name__)
# We'll keep all the available metrics in a single toplevel dict, one shared
# for the entire process. We don't currently support per-HomeServer instances
# of metrics, because in practice any one python VM will host only one
# HomeServer anyway. This makes a lot of implementation neater
all_metrics = {}
class Metrics(object):
""" A single Metrics object gives a (mutable) slice view of the all_metrics
dict, allowing callers to easily register new metrics that are namespaced
nicely."""
def __init__(self, name):
self.name_prefix = name
def _register(self, metric_class, name, *args, **kwargs):
if "_" in name:
raise ValueError("Metric names %s is invalid as it cannot contain an underscore"
% (name)
)
full_name = "%s_%s" % (self.name_prefix, name)
metric = metric_class(full_name, *args, **kwargs)
all_metrics[full_name] = metric
return metric
def register_counter(self, *args, **kwargs):
return self._register(CounterMetric, *args, **kwargs)
def register_callback(self, *args, **kwargs):
return self._register(CallbackMetric, *args, **kwargs)
def register_timer(self, *args, **kwargs):
return self._register(TimerMetric, *args, **kwargs)
def register_cache(self, *args, **kwargs):
return self._register(CacheMetric, *args, **kwargs)
def counted(self, func):
""" A method decorator that registers a counter, to count invocations
of this method. """
if not hasattr(self, "method_counter"):
self.method_counter = self.register_counter(
"calls",
labels=["method"]
)
counter = self.method_counter
name = func.__name__
def wrapped(*args, **kwargs):
counter.inc(name)
return func(*args, **kwargs)
return wrapped
def get_metrics_for(pkg_name):
""" Returns a Metrics instance for conveniently creating metrics
namespaced with the given name prefix. """
# Convert a "package.name" to "package_name" because Prometheus doesn't
# let us use . in metric names
return Metrics(pkg_name.replace(".", "_"))
def render_all():
strs = []
# TODO(paul): Internal hack
update_resource_metrics()
for name in sorted(all_metrics.keys()):
try:
strs += all_metrics[name].render()
except Exception as e:
strs += ["# FAILED to render %s" % name]
logger.exception("Failed to render %s metric", name)
return "\n".join(strs)
# Now register some standard process-wide state metrics, to give indications of
# process resource usage
rusage = None
PAGE_SIZE = getpagesize()
def update_resource_metrics():
global rusage
rusage = getrusage(RUSAGE_SELF)
resource_metrics = get_metrics_for("process.resource")
# msecs
resource_metrics.register_callback("utime", lambda: rusage.ru_utime * 1000)
resource_metrics.register_callback("stime", lambda: rusage.ru_stime * 1000)
# pages
resource_metrics.register_callback("maxrss", lambda: rusage.ru_maxrss * PAGE_SIZE)
|