206 lines
6.3 KiB
Python
206 lines
6.3 KiB
Python
"""Profiler tools for CherryPy.
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CherryPy users
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==============
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You can profile any of your pages as follows:
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from cherrypy.lib import profiler
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class Root:
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p = profile.Profiler("/path/to/profile/dir")
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def index(self):
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self.p.run(self._index)
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index.exposed = True
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def _index(self):
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return "Hello, world!"
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cherrypy.tree.mount(Root())
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You can also turn on profiling for all requests
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using the make_app function as WSGI middleware.
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CherryPy developers
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===================
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This module can be used whenever you make changes to CherryPy,
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to get a quick sanity-check on overall CP performance. Use the
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"--profile" flag when running the test suite. Then, use the serve()
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function to browse the results in a web browser. If you run this
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module from the command line, it will call serve() for you.
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"""
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# Make profiler output more readable by adding __init__ modules' parents.
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def new_func_strip_path(func_name):
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filename, line, name = func_name
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if filename.endswith("__init__.py"):
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return os.path.basename(filename[:-12]) + filename[-12:], line, name
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return os.path.basename(filename), line, name
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try:
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import profile
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import pstats
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pstats.func_strip_path = new_func_strip_path
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except ImportError:
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profile = None
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pstats = None
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import os, os.path
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import sys
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import warnings
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try:
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from cStringIO import StringIO
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except ImportError:
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from StringIO import StringIO
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_count = 0
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class Profiler(object):
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def __init__(self, path=None):
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if not path:
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path = os.path.join(os.path.dirname(__file__), "profile")
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self.path = path
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if not os.path.exists(path):
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os.makedirs(path)
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def run(self, func, *args, **params):
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"""Dump profile data into self.path."""
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global _count
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c = _count = _count + 1
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path = os.path.join(self.path, "cp_%04d.prof" % c)
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prof = profile.Profile()
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result = prof.runcall(func, *args, **params)
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prof.dump_stats(path)
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return result
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def statfiles(self):
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"""statfiles() -> list of available profiles."""
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return [f for f in os.listdir(self.path)
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if f.startswith("cp_") and f.endswith(".prof")]
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def stats(self, filename, sortby='cumulative'):
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"""stats(index) -> output of print_stats() for the given profile."""
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sio = StringIO()
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if sys.version_info >= (2, 5):
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s = pstats.Stats(os.path.join(self.path, filename), stream=sio)
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s.strip_dirs()
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s.sort_stats(sortby)
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s.print_stats()
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else:
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# pstats.Stats before Python 2.5 didn't take a 'stream' arg,
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# but just printed to stdout. So re-route stdout.
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s = pstats.Stats(os.path.join(self.path, filename))
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s.strip_dirs()
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s.sort_stats(sortby)
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oldout = sys.stdout
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try:
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sys.stdout = sio
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s.print_stats()
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finally:
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sys.stdout = oldout
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response = sio.getvalue()
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sio.close()
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return response
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def index(self):
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return """<html>
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<head><title>CherryPy profile data</title></head>
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<frameset cols='200, 1*'>
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<frame src='menu' />
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<frame name='main' src='' />
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</frameset>
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</html>
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"""
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index.exposed = True
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def menu(self):
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yield "<h2>Profiling runs</h2>"
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yield "<p>Click on one of the runs below to see profiling data.</p>"
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runs = self.statfiles()
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runs.sort()
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for i in runs:
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yield "<a href='report?filename=%s' target='main'>%s</a><br />" % (i, i)
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menu.exposed = True
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def report(self, filename):
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import cherrypy
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cherrypy.response.headers['Content-Type'] = 'text/plain'
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return self.stats(filename)
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report.exposed = True
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class ProfileAggregator(Profiler):
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def __init__(self, path=None):
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Profiler.__init__(self, path)
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global _count
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self.count = _count = _count + 1
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self.profiler = profile.Profile()
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def run(self, func, *args):
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path = os.path.join(self.path, "cp_%04d.prof" % self.count)
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result = self.profiler.runcall(func, *args)
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self.profiler.dump_stats(path)
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return result
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class make_app:
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def __init__(self, nextapp, path=None, aggregate=False):
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"""Make a WSGI middleware app which wraps 'nextapp' with profiling.
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nextapp: the WSGI application to wrap, usually an instance of
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cherrypy.Application.
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path: where to dump the profiling output.
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aggregate: if True, profile data for all HTTP requests will go in
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a single file. If False (the default), each HTTP request will
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dump its profile data into a separate file.
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"""
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if profile is None or pstats is None:
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msg = ("Your installation of Python does not have a profile module. "
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"If you're on Debian, try `sudo apt-get install python-profiler`. "
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"See http://www.cherrypy.org/wiki/ProfilingOnDebian for details.")
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warnings.warn(msg)
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self.nextapp = nextapp
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self.aggregate = aggregate
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if aggregate:
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self.profiler = ProfileAggregator(path)
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else:
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self.profiler = Profiler(path)
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def __call__(self, environ, start_response):
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def gather():
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result = []
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for line in self.nextapp(environ, start_response):
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result.append(line)
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return result
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return self.profiler.run(gather)
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def serve(path=None, port=8080):
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if profile is None or pstats is None:
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msg = ("Your installation of Python does not have a profile module. "
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"If you're on Debian, try `sudo apt-get install python-profiler`. "
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"See http://www.cherrypy.org/wiki/ProfilingOnDebian for details.")
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warnings.warn(msg)
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import cherrypy
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cherrypy.config.update({'server.socket_port': int(port),
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'server.thread_pool': 10,
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'environment': "production",
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})
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cherrypy.quickstart(Profiler(path))
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if __name__ == "__main__":
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serve(*tuple(sys.argv[1:]))
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