Hi TurboGears users,
I am trying to profile my (TurboGears) application using the CherryPy
profiling option. Unfortunately I have some trouble figuring out what
is happening.
It seems like the _build_dispatcher method in functions.py (which I
guess is a RuleDispatch file) is always responsible for most of the
CPU usage. Is this because some voodoo is happening in TurboGears/
RuleDispatch which prevents the profiler from seeing what functions
are really spending my precious CPU cycles;-)
Any suggestions on how to proceed? Maybe I need to place profiling
code inside my controller methods (but that is a bit cumbersome)?
Best regards,
Jesper
Example profile:
2345 function calls (2294 primitive calls) in 0.504 CPU
seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall
filename:lineno(function)
1 0.000 0.000 0.504 0.504 profile:0(<bound method
Request._run of <cherrypy._cphttptools.Request object at 0x126f644c>>)
1 0.000 0.000 0.504 0.504 _cphttptools.py:92(_run)
1 0.000 0.000 0.476 0.476 _cphttptools.py:
251(main)
1 0.000 0.000 0.472 0.472 <string>:2(nwp)
1 0.000 0.000 0.472 0.472 controllers.py:
347(expose)
1 0.000 0.000 0.452 0.452 strategy.py:
214(__init__)
2 0.452 0.226 0.452 0.226 functions.py:
330(_build_dispatcher)
1 0.000 0.000 0.452 0.452 strategy.py:196(mkNode)
1 0.000 0.000 0.452 0.452 <string>:
4(run_with_transaction)
3 0.000 0.000 0.016 0.005 filters/__init__.py:
111(applyFilters)
...
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