115 lines
4.6 KiB
Python
115 lines
4.6 KiB
Python
# (C) Copyright 2014-2016 Hewlett Packard Enterprise Development LP
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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
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# 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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#
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# Copyright (c) 2012, Datadog <info@datadoghq.com>
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# All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the Datadog nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL DATADOG BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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import contextlib
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import functools
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import time
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from monascastatsd import metricbase
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class Timer(metricbase.MetricBase):
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def __init__(self, connection, name=None, dimensions=None):
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super(self.__class__, self).__init__(name=name,
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connection=connection,
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dimensions=dimensions)
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def timing(self, name, value, dimensions=None, sample_rate=1):
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"""Record a timing, optionally setting dimensions and a sample rate.
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>>> monascastatsd.timing("query.response.time", 1234)
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"""
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self._connection.report(metric=self.update_name(name),
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metric_type='g',
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value=value,
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dimensions=self.update_dimensions(dimensions),
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sample_rate=sample_rate)
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def timed(self, name, dimensions=None, sample_rate=1):
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"""A decorator that will measure the distribution of a function's
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run time. Optionally specify a list of tag or a sample rate.
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::
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@monascastatsd.timed('user.query.time', sample_rate=0.5)
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def get_user(user_id):
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# Do what you need to ...
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pass
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# Is equivalent to ...
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start = time.time()
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try:
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get_user(user_id)
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finally:
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monascastatsd.timing('user.query.time', time.time() - start)
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"""
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def wrapper(func):
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@functools.wraps(func)
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def wrapped(*args, **kwargs):
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start = time.time()
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result = func(*args, **kwargs)
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self.timing(name,
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time.time() - start,
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dimensions=dimensions,
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sample_rate=sample_rate)
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return result
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wrapped.__name__ = func.__name__
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wrapped.__doc__ = func.__doc__
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wrapped.__dict__.update(func.__dict__)
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return wrapped
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return wrapper
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@contextlib.contextmanager
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def time(self, name, dimensions=None, sample_rate=1):
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"""Time a block of code, optionally setting dimensions and a sample rate.
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try:
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with monascastatsd.time("query.response.time"):
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Do something...
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except Exception:
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Log something...
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"""
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start_time = time.time()
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yield
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end_time = time.time()
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self.timing(name, end_time - start_time, dimensions, sample_rate)
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