90 lines
3.1 KiB
Python
90 lines
3.1 KiB
Python
# (C) Copyright 2014 Hewlett Packard Enterprise Development Company 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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import contextlib
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import functools
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import time
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from metricbase import MetricBase
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class Timer(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='ms',
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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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