This module provides a simple way to get detailed profiling information
about a Python process that uses the gevent library. The normal Python
profilers are not nearly as useful in this context, due to gevent's
greenlet threading model.
$ sudo python setup.py installTo generate profiling information for a single function call:
from gevent import monkey
monkey.patch_all()
import gevent_profiler
def my_func(a, b, c):
print a, b, c
gevent_profiler.profile(my_func, 1, 2, c=3)To generate profiling information for an arbitrary section of code:
from gevent import monkey
monkey.patch_all()
import gevent_profiler
gevent_profiler.attach()
for x in range(42):
print pow(x, 2)
gevent_profiler.detach()To start generating profiling information when a specific signal is received, and to stop after a set amount of time has elapsed:
from gevent import monkey
monkey.patch_all()
import gevent_profiler
gevent_profiler.attach_on_signal(signum=signal.SIGUSR1, duration=60)
x = 2
while True:
print pow(x, 50000)To profile a Python app from the command line:
$ python gevent_profiler/__init__.py --help
$ python gevent_profiler/__init__.py my_app.pySet the filename for the stats file. Defaults to sys.stdout. May be set to None to disable.
gevent_profiler.set_stats_output('my-stats.txt')Set the filename for the summary file. Defaults to sys.stdout. May be set to None to disable.
gevent_profiler.set_summary_output('my-summary.txt')Set the filename for the trace file. Defaults to sys.stdout. May be set to None to disable.
gevent_profiler.set_trace_output('my-trace.txt')Print runtime statistics as percentages of total runtime rather than absolute measurements in seconds:
gevent_profiler.print_percentages(True)Count time blocking on IO towards the execution totals for each function:
gevent_profiler.time_blocking(True)
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