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70 lines
2.1 KiB
Python
70 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015 OpenMarket Ltd
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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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from .metric import CounterMetric
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# We'll keep all the available metrics in a single toplevel dict, one shared
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# for the entire process. We don't currently support per-HomeServer instances
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# of metrics, because in practice any one python VM will host only one
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# HomeServer anyway. This makes a lot of implementation neater
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all_metrics = {}
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class Metrics(object):
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""" A single Metrics object gives a (mutable) slice view of the all_metrics
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dict, allowing callers to easily register new metrics that are namespaced
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nicely."""
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def __init__(self, name):
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self.name_prefix = name
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def _register(self, metric):
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all_metrics[metric.name] = metric
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def register_counter(self, name, *args, **kwargs):
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full_name = "%s.%s" % (self.name_prefix, name)
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metric = CounterMetric(full_name, *args, **kwargs)
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self._register(metric)
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return metric
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def counted(self, func):
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""" A method decorator that registers a counter, to count invocations
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of this method. """
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counter = self.register_counter(func.__name__)
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def wrapped(*args, **kwargs):
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counter.inc()
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return func(*args, **kwargs)
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return wrapped
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def get_metrics_for(name):
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""" Returns a Metrics instance for conveniently creating metrics
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namespaced with the given name prefix. """
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return Metrics(name)
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def render_all():
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strs = []
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for name in sorted(all_metrics.keys()):
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strs += all_metrics[name].render()
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return "\n".join(strs)
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