cherrypy.lib.profiler module

Profiler tools for CherryPy.

CherryPy users

You can profile any of your pages as follows:

from cherrypy.lib import profiler

class Root:
    p = profiler.Profiler("/path/to/profile/dir")

    @cherrypy.expose
    def index(self):
        self.p.run(self._index)

    def _index(self):
        return "Hello, world!"

cherrypy.tree.mount(Root())

You can also turn on profiling for all requests using the make_app function as WSGI middleware.

CherryPy developers

This module can be used whenever you make changes to CherryPy, to get a quick sanity-check on overall CP performance. Use the --profile flag when running the test suite. Then, use the serve() function to browse the results in a web browser. If you run this module from the command line, it will call serve() for you.

class cherrypy.lib.profiler.ProfileAggregator(path=None)[source]

Bases: cherrypy.lib.profiler.Profiler

run(func, *args, **params)[source]

Dump profile data into self.path.

class cherrypy.lib.profiler.Profiler(path=None)[source]

Bases: object

index()[source]
menu()[source]
report(filename)[source]
run(func, *args, **params)[source]

Dump profile data into self.path.

statfiles()[source]
Return type

list of available profiles.

stats(filename, sortby='cumulative')[source]
Rtype stats(index)

output of print_stats() for the given profile.

class cherrypy.lib.profiler.make_app(nextapp, path=None, aggregate=False)[source]

Bases: object

cherrypy.lib.profiler.new_func_strip_path(func_name)[source]

Make profiler output more readable by adding __init__ modules’ parents

cherrypy.lib.profiler.serve(path=None, port=8080)[source]