Python cprofiler 一个函数

Python cprofiler a function

如何使用 cprofiler 分析一个函数?

label = process_one(signature)

成为

import cProfile

label = cProfile.run(process_one(signature))

但是没用:/

根据文档 (https://docs.python.org/2/library/profile.html) 应该是 cProfile.run('process_one(signature)')

还有,看答案

您可以编写一些装饰器,这将有助于使用 cProfile 分析任何函数。这有助于我在需要时快速获取统计数据。

import cProfile
import pstats
import StringIO
import commands


def qprofile(func):
    def profiled_func(*args, **kwargs):
        if 'profile' in kwargs and kwargs['profile']:
            kwargs.pop('profile')
            profile = cProfile.Profile()
            try:
                profile.enable()
                result = func(*args, **kwargs)
                profile.disable()
                return result
            finally:
                s = StringIO.StringIO()
                ps = pstats.Stats(
                    profile, stream=s).strip_dirs(
                ).sort_stats('cumulative')
                ps.print_stats(30)
                print s.getvalue()
        else:
            result = func(*args, **kwargs)
            return result
    return profiled_func

@qprofile
def process_one(cmd):
    output = commands.getoutput(cmd)
    return output

# Function is profiled if profile=True in kwargs
print(process_one('uname -a', profile=True))

示例输出:

         7 function calls in 0.013 seconds

   Ordered by: cumulative time

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.000    0.000    0.013    0.013 qprofiler.py:29(process_one)
        1    0.000    0.000    0.013    0.013 commands.py:48(getoutput)
        1    0.000    0.000    0.013    0.013 commands.py:56(getstatusoutput)
        1    0.013    0.013    0.013    0.013 {method 'read' of 'file' objects}
        1    0.000    0.000    0.000    0.000 {posix.popen}
        1    0.000    0.000    0.000    0.000 {method 'close' of 'file' objects}
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}

Linux chronin 4.4.0-42-generic #62-Ubuntu SMP Fri Oct 7 23:11:45 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux

请参考官方文档以获取任何调用特定参考, https://docs.python.org/2/library/profile.html