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
|
# -*- 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.
from .metric import CounterMetric, CallbackMetric, CacheCounterMetric
# 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):
all_metrics[metric.name] = metric
def register_counter(self, name, *args, **kwargs):
full_name = "%s.%s" % (self.name_prefix, name)
metric = CounterMetric(full_name, *args, **kwargs)
self._register(metric)
return metric
def register_callback(self, name, callback, *args, **kwargs):
full_name = "%s.%s" % (self.name_prefix, name)
metric = CallbackMetric(full_name, *args, callback=callback, **kwargs)
self._register(metric)
return metric
def register_cachecounter(self, name, *args, **kwargs):
full_name = "%s.%s" % (self.name_prefix, name)
metric = CacheCounterMetric(full_name, *args, **kwargs)
self._register(metric)
return metric
def counted(self, func):
""" A method decorator that registers a counter, to count invocations
of this method. """
counter = self.register_counter(func.__name__)
def wrapped(*args, **kwargs):
counter.inc()
return func(*args, **kwargs)
return wrapped
def get_metrics_for(name):
""" Returns a Metrics instance for conveniently creating metrics
namespaced with the given name prefix. """
return Metrics(name)
def render_all():
strs = []
for name in sorted(all_metrics.keys()):
strs += all_metrics[name].render()
return "\n".join(strs)
|
