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Home/ Questions/Q 370471
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T14:01:16+00:00 2026-05-12T14:01:16+00:00

I have a wxPython app which has many worker threads, idle event cycles, and

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I have a wxPython app which has many worker threads, idle event cycles, and many other such event handling code which can consume CPU, for now when app is not being interacted with consumes about 8-10% CPU.

Question:

Is there a tool which can tell which part/threads of my app is consuming most CPU? If there are no such generic tools, I am willing to know the approaches you usually take to tackle such scenarios? e.g. disabling part of app, trace etc

Edit: May be my question’s language is ambiguous, I do not want to know which function or code block in my code takes up most resources, for that I can use profiler.
What I want to know is when I run my app, and I see cpu usage it is 8-10%, now is there a way to know what different parts, threads of my app are using up that 10% cpu?
Basically at that instant i want to know which part(s) of code is running?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-12T14:01:17+00:00Added an answer on May 12, 2026 at 2:01 pm

    I am able to solve my problem by writing a modifed version of python trace module , which can be enabled disabled, basically modify Trace class something like this

    import sys
    import trace
    
    class MyTrace(trace.Trace):
        def __init__(self, *args, **kwargs):
            trace.Trace.__init__(self, *args, **kwargs)
            self.enabled = False
    
        def localtrace_trace_and_count(self, *args, **kwargs):
            if not self.enabled:
                return None 
            return trace.Trace.localtrace_trace_and_count(self, *args, **kwargs)
    
    tracer = MyTrace(ignoredirs=[sys.prefix, sys.exec_prefix],)
    
    def main():
        a = 1
        tracer.enabled = True
        a = 2
        tracer.enabled = False
        a = 3
    
    # run the new command using the given tracer
    tracer.run('main()')
    

    Output:

     --- modulename: untitled-2, funcname: main
    untitled-2.py(19):     a = 2
    untitled-2.py(20):     tracer.enabled = False
    

    Enabling it at the critical points helps me to trace line by line which code statements are executing most.

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