Mini Shell
"""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.
"""
import io
import os
import os.path
import sys
import warnings
import cherrypy
try:
import profile
import pstats
def new_func_strip_path(func_name):
"""Make profiler output more readable by adding `__init__` modules' parents
"""
filename, line, name = func_name
if filename.endswith('__init__.py'):
return (
os.path.basename(filename[:-12]) + filename[-12:],
line,
name,
)
return os.path.basename(filename), line, name
pstats.func_strip_path = new_func_strip_path
except ImportError:
profile = None
pstats = None
_count = 0
class Profiler(object):
def __init__(self, path=None):
if not path:
path = os.path.join(os.path.dirname(__file__), 'profile')
self.path = path
if not os.path.exists(path):
os.makedirs(path)
def run(self, func, *args, **params):
"""Dump profile data into self.path."""
global _count
c = _count = _count + 1
path = os.path.join(self.path, 'cp_%04d.prof' % c)
prof = profile.Profile()
result = prof.runcall(func, *args, **params)
prof.dump_stats(path)
return result
def statfiles(self):
""":rtype: list of available profiles.
"""
return [f for f in os.listdir(self.path)
if f.startswith('cp_') and f.endswith('.prof')]
def stats(self, filename, sortby='cumulative'):
""":rtype stats(index): output of print_stats() for the given profile.
"""
sio = io.StringIO()
if sys.version_info >= (2, 5):
s = pstats.Stats(os.path.join(self.path, filename), stream=sio)
s.strip_dirs()
s.sort_stats(sortby)
s.print_stats()
else:
# pstats.Stats before Python 2.5 didn't take a 'stream' arg,
# but just printed to stdout. So re-route stdout.
s = pstats.Stats(os.path.join(self.path, filename))
s.strip_dirs()
s.sort_stats(sortby)
oldout = sys.stdout
try:
sys.stdout = sio
s.print_stats()
finally:
sys.stdout = oldout
response = sio.getvalue()
sio.close()
return response
@cherrypy.expose
def index(self):
return """<html>
<head><title>CherryPy profile data</title></head>
<frameset cols='200, 1*'>
<frame src='menu' />
<frame name='main' src='' />
</frameset>
</html>
"""
@cherrypy.expose
def menu(self):
yield '<h2>Profiling runs</h2>'
yield '<p>Click on one of the runs below to see profiling data.</p>'
runs = self.statfiles()
runs.sort()
for i in runs:
yield "<a href='report?filename=%s' target='main'>%s</a><br />" % (
i, i)
@cherrypy.expose
def report(self, filename):
cherrypy.response.headers['Content-Type'] = 'text/plain'
return self.stats(filename)
class ProfileAggregator(Profiler):
def __init__(self, path=None):
Profiler.__init__(self, path)
global _count
self.count = _count = _count + 1
self.profiler = profile.Profile()
def run(self, func, *args, **params):
path = os.path.join(self.path, 'cp_%04d.prof' % self.count)
result = self.profiler.runcall(func, *args, **params)
self.profiler.dump_stats(path)
return result
class make_app:
def __init__(self, nextapp, path=None, aggregate=False):
"""Make a WSGI middleware app which wraps 'nextapp' with profiling.
nextapp
the WSGI application to wrap, usually an instance of
cherrypy.Application.
path
where to dump the profiling output.
aggregate
if True, profile data for all HTTP requests will go in
a single file. If False (the default), each HTTP request will
dump its profile data into a separate file.
"""
if profile is None or pstats is None:
msg = ('Your installation of Python does not have a profile '
"module. If you're on Debian, try "
'`sudo apt-get install python-profiler`. '
'See http://www.cherrypy.org/wiki/ProfilingOnDebian '
'for details.')
warnings.warn(msg)
self.nextapp = nextapp
self.aggregate = aggregate
if aggregate:
self.profiler = ProfileAggregator(path)
else:
self.profiler = Profiler(path)
def __call__(self, environ, start_response):
def gather():
result = []
for line in self.nextapp(environ, start_response):
result.append(line)
return result
return self.profiler.run(gather)
def serve(path=None, port=8080):
if profile is None or pstats is None:
msg = ('Your installation of Python does not have a profile module. '
"If you're on Debian, try "
'`sudo apt-get install python-profiler`. '
'See http://www.cherrypy.org/wiki/ProfilingOnDebian '
'for details.')
warnings.warn(msg)
cherrypy.config.update({'server.socket_port': int(port),
'server.thread_pool': 10,
'environment': 'production',
})
cherrypy.quickstart(Profiler(path))
if __name__ == '__main__':
serve(*tuple(sys.argv[1:]))
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