27

I'm trying to profile an instance method, so I've done something like:

import cProfile

class Test():

    def __init__(self):
        pass

    def method(self):
        cProfile.runctx("self.method_actual()", globals(), locals())

    def method_actual(self):
        print "Run"

if __name__ == "__main__":
    Test().method()

But now problems arise when I want "method" to return a value that is computed by "method_actual". I don't really want to call "method_actual" twice.

Is there another way, something that can be thread safe? (In my application, the cProfile data are saved to datafiles named by one of the args, so they don't get clobbered and I can combine them later.)

detly
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5 Answers5

37

I discovered that you can do this:

prof = cProfile.Profile()
retval = prof.runcall(self.method_actual, *args, **kwargs)
prof.dump_stats(datafn)

The downside is that it's undocumented.

detly
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30

An option for any arbitrary code:

import cProfile, pstats, sys
pr = cProfile.Profile()
pr.enable()

my_return_val = my_func(my_arg)

pr.disable()
ps = pstats.Stats(pr, stream=sys.stdout)
ps.print_stats()

Taken from https://docs.python.org/2/library/profile.html#profile.Profile

wordsforthewise
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Alex Constantin
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8

I was struggling with the same problem and used a wrapper function to get over direct return values. Instead of

cP.runctx("a=foo()", globals(), locales())

I create a wrapper function

def wrapper(b):
  b.append(foo())

and profile the call to the wrapper function

b = []
cP.runctx("wrapper(b)", globals(), locals())
a = b[0]

extracting the result of foo's computation from the out param (b) afterwards.

Scott Stafford
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ThomasH
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4

I created a decorator:

import cProfile
import functools
import pstats

def profile(func):

    @functools.wraps(func)
    def inner(*args, **kwargs):
        profiler = cProfile.Profile()
        profiler.enable()
        try:
            retval = func(*args, **kwargs)
        finally:
            profiler.disable()
            with open('profile.out', 'w') as profile_file:
                stats = pstats.Stats(profiler, stream=profile_file)
                stats.print_stats()
        return retval

    return inner

Decorate your function or method with it:

@profile
def somefunc(...):
   ...

Now that function will be profiled.

Alternatively, if you'd like the raw, unprocessed profile data (e.g. because you want to run the excellent graphical viewer RunSnakeRun on it), then:

import cProfile
import functools
import pstats

def profile(func):

    @functools.wraps(func)
    def inner(*args, **kwargs):
        profiler = cProfile.Profile()
        profiler.enable()
        try:
            retval = func(*args, **kwargs)
        finally:
            profiler.disable()
            profiler.dump_stats('profile.out')
        return retval

    return inner

This is a minor improvement on several of the other answers on this page.

Jonathan Hartley
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2

I think @detly the .runcall() is basically the best answer, but for completeness, I just wanted to take @ThomasH 's answer to be function independent:

def wrapper(b, f, *myargs, **mykwargs):
    try:
        b.append(f(*myargs, **mykwargs))
    except TypeError:
        print 'bad args passed to func.'

# Example run
def func(a, n):
    return n*a + 1

b = []
cProfile.runctx("wrapper(b, func, 3, n=1)", globals(), locals())
a = b[0]
print 'a, ', a
HeyWatchThis
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