def interactive_mode(index, prof=0):
while 1:
line = raw_input("> ")
try:
if prof:
prof = hotshot.Profile('tx.prof')
resultset = prof.runctx('index._apply_index( {\'text\':{\'query\':line}})[0] ', globals(), locals())
prof.close()
stats = hotshot.stats.load('tx.prof')
stats.strip_dirs()
stats.sort_stats('cumulative')
stats.print_stats(100)
else:
resultset = index._apply_index( {'text':{'query':line}})[0]
print "Result: %d matches" % len(resultset)
lst = list(resultset.items())
lst.sort(lambda x,y : -cmp(x[1],y[1]))
for docid,score in lst:
print "%-2d %s %d" % (docid, docs[docid].getId(), score)
except:
traceback.print_exc()
def __call__(self, *args): ##, **kw): kw unused
import hotshot, hotshot.stats, os, tempfile ##, time already imported
f, filename = tempfile.mkstemp()
os.close(f)
prof = hotshot.Profile(filename)
stime = time.time()
result = prof.runcall(self.func, *args)
stime = time.time() - stime
prof.close()
import cStringIO
out = cStringIO.StringIO()
stats = hotshot.stats.load(filename)
stats.stream = out
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(40)
stats.print_callers()
def xx():
yield '\n\ntook '+ str(stime) + ' seconds\n'
yield out.getvalue()
# remove the tempfile
try:
os.remove(filename)
except IOError:
pass
if result and not(hasattr(result, 'next') or hasattr(result, '__iter__')):
result = [result]
return itertools.chain(result, xx())
def run_or_profile(suite):
runner = unittest.TextTestRunner(verbosity=2)
args = sys.argv[1:]
if '-P' in args or '-PP' in args:
try:
import psyco
if '-PP' in sys.argv[1:]:
psyco.profile()
else:
psyco.full()
print "Using Psyco."
except:
pass
if '-p' in args:
import os, hotshot, hotshot.stats
LOG_FILE="profile.log"
profiler = hotshot.Profile(LOG_FILE)
profiler.runcall(runner.run, suite)
profiler.close()
stats = hotshot.stats.load(LOG_FILE)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(60)
try:
os.unlink(LOG_FILE)
except:
pass
else:
runner.run(suite)
def __call__(self, *args): ##, **kw): kw unused
import hotshot, hotshot.stats, tempfile ##, time already imported
temp = tempfile.NamedTemporaryFile()
prof = hotshot.Profile(temp.name)
stime = time.time()
result = prof.runcall(self.func, *args)
stime = time.time() - stime
prof.close()
import cStringIO
out = cStringIO.StringIO()
oldout = sys.stdout
stats = hotshot.stats.load(temp.name)
if sys.version_info >= (2, 5):
stats.stream = out
else:
sys.stdout = out
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(40)
stats.print_callers()
if sys.version_info < (2, 5):
sys.stdout = oldout
x = '\n\ntook '+ str(stime) + ' seconds\n'
x += out.getvalue()
return result, x
def run():
profilelevel = None
if 'PROFILELEVEL' in environ:
profilelevel = int(environ['PROFILELEVEL'])
if profilelevel is None:
TestProgramPyMVPA()
else:
profilelines = 'PROFILELINES' in environ
import hotshot, hotshot.stats
pname = "%s.prof" % sys.argv[0]
prof = hotshot.Profile(pname, lineevents=profilelines)
try:
# actually return values are never setup
# since unittest.main sys.exit's
benchtime, stones = prof.runcall( unittest.main )
except SystemExit:
pass
print "Saving profile data into %s" % pname
prof.close()
if profilelevel > 0:
# we wanted to see the summary right here
# instead of just storing it into a file
print "Loading profile data from %s" % pname
stats = hotshot.stats.load(pname)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(profilelevel)
def atexit(self):
"""Stop profiling and print profile information to sys.stderr.
This function is registered as an atexit hook.
"""
self.profiler.close()
funcname = self.fn.__name__
filename = self.fn.func_code.co_filename
lineno = self.fn.func_code.co_firstlineno
print
print "*** PROFILER RESULTS ***"
print "%s (%s:%s)" % (funcname, filename, lineno)
print "function called %d times" % self.ncalls,
if self.skipped:
print "(%d calls not profiled)" % self.skipped
else:
print
print
stats = hotshot.stats.load(self.logfilename)
if self.filename:
stats.dump_stats(self.filename)
stats.strip_dirs()
stats.sort_stats('cumulative', 'time', 'calls')
stats.print_stats(40)
def __call__(self, *args): ##, **kw): kw unused
import hotshot, hotshot.stats, os, tempfile ##, time already imported
f, filename = tempfile.mkstemp()
os.close(f)
prof = hotshot.Profile(filename)
stime = time.time()
result = prof.runcall(self.func, *args)
stime = time.time() - stime
prof.close()
import cStringIO
out = cStringIO.StringIO()
stats = hotshot.stats.load(filename)
stats.stream = out
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(40)
stats.print_callers()
x = '\n\ntook '+ str(stime) + ' seconds\n'
x += out.getvalue()
# remove the tempfile
try:
os.remove(filename)
except IOError:
pass
return result, x
def process_response(self, request, response):
if self.show_profile(request):
stats = self.stats()
if 'prof_strip' in request.GET:
stats.strip_dirs()
if 'prof_sort' in request.GET:
# See
# http://docs.python.org/2/library/profile.html#pstats.Stats.sort_stats # noqa
# for the fields you can sort on.
stats.sort_stats(*request.GET['prof_sort'].split(','))
else:
stats.sort_stats('time', 'calls')
# Capture STDOUT temporarily
old_stdout = sys.stdout
out = StringIO()
sys.stdout = out
stats.print_stats()
stats_str = out.getvalue()
sys.stdout.close()
sys.stdout = old_stdout
# Print status within PRE block
if response and response.content and stats_str:
response.content = "<pre>" + stats_str + "</pre>"
return response
def wrapped(*args, **kwds):
""" Inner method for calling the profiler method. """
# define the profile name
filename = os.path.join(path, '%s.prof' % func.__name__)
# create a profiler for the method to run through
prof = hotshot.Profile(filename)
results = prof.runcall(func, *args, **kwds)
prof.close()
# log the information about it
stats = hotshot.stats.load(filename)
if stripDirs:
stats.strip_dirs()
# we don't want to know about the arguments for this method
stats.sort_stats(*sorting)
stats.print_stats(limit)
# remove the file if desired
if autoclean:
os.remove(filename)
return results
def profile(filename, command):
import hotshot, hotshot.stats, os
file=os.path.abspath(filename)
profile=hotshot.Profile(file)
profile.run(command)
profile.close()
del profile
howmany=100
stats=hotshot.stats.load(file)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(100)
stats.sort_stats('cum', 'calls')
stats.print_stats(100)
stats.sort_stats('calls', 'time')
stats.print_stats(100)
sys.exit(0)
def atexit(self):
"""Stop profiling and print profile information to sys.stderr.
This function is registered as an atexit hook.
"""
self.profiler.close()
funcname = self.fn.__name__
filename = self.fn.__code__.co_filename
lineno = self.fn.__code__.co_firstlineno
print("")
print("*** PROFILER RESULTS ***")
print("%s (%s:%s)" % (funcname, filename, lineno))
if self.skipped:
skipped = "(%d calls not profiled)" % self.skipped
else:
skipped = ""
print("function called %d times%s" % (self.ncalls, skipped))
print("")
stats = hotshot.stats.load(self.logfilename)
# hotshot.stats.load takes ages, and the .prof file eats megabytes, but
# a saved stats object is small and fast
if self.filename:
stats.dump_stats(self.filename)
# it is best to save before strip_dirs
stats.strip_dirs()
stats.sort_stats('cumulative', 'time', 'calls')
stats.print_stats(40)
def prof_main(argv):
import getopt
import hotshot, hotshot.stats
def usage():
print 'usage: %s module.function [args ...]' % argv[0]
return 100
args = argv[1:]
if len(args) < 1: return usage()
name = args.pop(0)
prof = name+'.prof'
i = name.rindex('.')
(modname, funcname) = (name[:i], name[i+1:])
module = __import__(modname, fromlist=1)
func = getattr(module, funcname)
if args:
args.insert(0, argv[0])
prof = hotshot.Profile(prof)
prof.runcall(lambda : func(args))
prof.close()
else:
stats = hotshot.stats.load(prof)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(1000)
return
def _profile(continuation):
prof_file = 'populateDir.prof'
try:
import cProfile
import pstats
print('Profiling using cProfile')
cProfile.runctx('continuation()', globals(), locals(), prof_file)
stats = pstats.Stats(prof_file)
except ImportError:
import hotshot
import hotshot.stats
prof = hotshot.Profile(prof_file, lineevents=1)
print('Profiling using hotshot')
prof.runcall(continuation)
prof.close()
stats = hotshot.stats.load(prof_file)
stats.strip_dirs()
#for a in ['calls', 'cumtime', 'cumulative', 'ncalls', 'time', 'tottime']:
for a in ['cumtime', 'time', 'ncalls']:
print("------------------------------------------------------------------------------------------------------------------------------")
try:
stats.sort_stats(a)
stats.print_stats(150)
stats.print_callees(150)
stats.print_callers(150)
except KeyError:
pass
os.remove(prof_file)
def run_profile(self, slosl_statements, db_attributes, init_code):
import hotshot, hotshot.stats, os, sys
stderr = sys.stderr # discard runtime warning for tempnam
sys.stderr = StringIO()
prof_filename = os.tempnam(None, 'slow-')
sys.stderr = stderr
prof = hotshot.Profile(prof_filename)
views = prof.runcall(self.build_views, slosl_statements,
db_attributes, init_code)
prof.close()
stats = hotshot.stats.load(prof_filename)
stats.strip_dirs()
stdout = sys.stdout
stats.sort_stats('time', 'calls')
sys.stdout = StringIO()
stats.print_stats()
profile_data = sys.stdout.getvalue()
stats.sort_stats('cumulative', 'calls')
sys.stdout = StringIO()
stats.print_stats()
self.profile_data = (profile_data, sys.stdout.getvalue())
sys.stdout = stdout
os.remove(prof_filename)
return views
def process_view(self, request, view, *args, **kwargs):
for item in request.META['QUERY_STRING'].split('&'):
if item.split('=')[0] == 'profile': # profile in query string
# catch the output, must happen before stats object is created
# see https://bugs.launchpad.net/webpy/+bug/133080 for the details
std_old, std_new = sys.stdout, StringIO.StringIO()
sys.stdout = std_new
# now let's do some profiling
tmpfile = '/tmp/%s' % request.COOKIES['sessionid']
prof = hotshot.Profile(tmpfile)
# make a call to the actual view function with the given arguments
response = prof.runcall(view, request, *args[0], *args[1])
prof.close()
# and then statistical reporting
stats = hotshot.stats.load(tmpfile)
stats.strip_dirs()
stats.sort_stats('time')
# do the output
stats.print_stats(1.0)
# restore default output
sys.stdout = std_old
# delete file
os.remove(tmpfile)
return HttpResponse('<pre\>%s</pre>' % std_new.getvalue())
return None
def process_response(self, request, response):
if self.show_profile(request):
stats = self.stats()
if 'prof_strip' in request.GET:
stats.strip_dirs()
if 'prof_sort' in request.GET:
stats.sort_stats(*request.GET['prof_sort'].split(','))
else:
stats.sort_stats('time', 'calls')
# Capture STDOUT temporarily
old_stdout = sys.stdout
out = StringIO()
sys.stdout = out
stats.print_stats()
stats_str = out.getvalue()
sys.stdout.close()
sys.stdout = old_stdout
# Print status within PRE block
if response and response.content and stats_str:
response.content = "<pre>" + stats_str + "</pre>"
return response
def run_profile(self):
using_hotshot = False
if using_hotshot:
import hotshot
import hotshot.stats
else:
import profile
import pstats
profile_name = 'NormalFormTest.prof'
proportion_worst_results = 0.125
create_empty_file(profile_name)
if using_hotshot:
profiler = hotshot.Profile(profile_name)
benchtime = profiler.runcall(run_nf) #main call
profiler.close()
stats = hotshot.stats.load(profile_name)
else:
profile.run('run_nf()', profile_name) #main call
stats = pstats.Stats(profile_name)
#output profile
stats.strip_dirs()
stats.sort_stats('time', 'cum', 'calls')
print '[1] Statistics:'
stats.print_stats(proportion_worst_results)
print '[2] Callers for the above:'
stats.print_callers(proportion_worst_results)
def stopProfiling():
c.profile.stop()
c.profile.close()
stats = hotshot.stats.load("BT.prof")
stats.strip_dirs()
stats.sort_stats("time", "calls")
stats.print_stats(20)
def profilefunction(f):
prof = hotshot.Profile("test.prof")
prof.runcall(f)
prof.close()
stats = hotshot.stats.load("test.prof")
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(10)
def pfile(function):
prof = hotshot.Profile('/tmp/test.prof')
prof.runcall(function)
prof.close()
stats = hotshot.stats.load('/tmp/test.prof')
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(20)
def main():
opts, args = parse_options()
bind = parse_bind(opts.bind)
if opts.validate:
application = (Application() + Root())
app = validator(application)
httpd = make_server(bind[0], bind[1], app)
httpd.serve_forever()
raise SystemExit(0)
manager = Manager()
opts.debug and Debugger().register(manager)
Poller = select_poller(opts.poller.lower())
Poller().register(manager)
if opts.server.lower() == "base":
BaseServer(bind).register(manager)
HelloWorld().register(manager)
else:
Server(bind).register(manager)
Root().register(manager)
docroot = os.getcwd() if not args else args[0]
Static(docroot=docroot, dirlisting=True).register(manager)
opts.passwd and Authentication(passwd=opts.passwd).register(manager)
opts.logging and Logger().register(manager)
if opts.profile and hotshot:
profiler = hotshot.Profile(".profile")
profiler.start()
if opts.debug:
print(graph(manager, name="circuits.web"))
print()
print(inspect(manager))
for i in range(opts.jobs):
manager.start(process=True)
manager.run()
if opts.profile and hotshot:
profiler.stop()
profiler.close()
stats = hotshot.stats.load(".profile")
stats.strip_dirs()
stats.sort_stats("time", "calls")
stats.print_stats(20)
def print_profile(profile_path):
# .stats needs extra package (python-profile)
# so relative import is here
# Ergo stats analysis on home computer only!
import hotshot.stats
stats = hotshot.stats.load(profile_path)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(40)
def profile(func, *args, **kwargs):
prof = hotshot.Profile("object.prof")
prof.runcall(func, *args, **kwargs)
prof.close()
stats = hotshot.stats.load("object.prof")
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(30)
os.remove('object.prof')
def profile_main():
import hotshot, hotshot.stats
prof = hotshot.Profile("_parsefortran.prof")
prof.runcall(simple_main)
prof.close()
stats = hotshot.stats.load("_parsefortran.prof")
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(30)
def process_response(self, request, response):
if settings.DEBUG and 'prof' in request.GET:
self.profiler.create_stats()
io = cStringIO()
stats = pstats.Stats(self.profiler, stream=io)
stats.strip_dirs().sort_stats(request.GET.get('sort', 'time'))
stats.print_stats(int(request.GET.get('count', 10000)))
response.content = '<pre>%s</pre>' % io.getvalue()
return response
def profile_me ():
print 'Profiling MATE Sudoku'
import tempfile, hotshot, hotshot.stats
pname = os.path.join(tempfile.gettempdir(), 'MATE_SUDOKU_HOTSHOT_PROFILE')
prof = hotshot.Profile(pname)
prof.runcall(start_game)
stats = hotshot.stats.load(pname)
stats.strip_dirs()
stats.sort_stats('time', 'calls').print_stats()
def doProf(profname,func,*args,**kwd):
import hotshot, hotshot.stats
prof = hotshot.Profile(profname)
prof.runcall(func)
prof.close()
stats = hotshot.stats.load(profname)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(20)
def format_stats(stats, strip_dirs=False, sort='time'):
if strip_dirs:
stats.strip_dirs()
stats.sort_stats(sort, 'calls')
so = StringIO()
stats.stream = so
stats.print_stats(PROFILE_LIMIT)
stats.print_callers(PROFILE_LIMIT)
return so.getvalue()
def _profile():
import hotshot, hotshot.stats
prof = hotshot.Profile("recognizer.prof")
prof.run('_test()')
prof.close()
stats = hotshot.stats.load("recognizer.prof")
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(40)
def profile():
print "profile starts"
prof = hotshot.Profile("test.prof")
prof.runcall(foo) #test.test_all.main)
prof.close()
stats = hotshot.stats.load("test.prof")
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(100)
av = sys.argv[1:]
if not av:
main(av)
firstarg = av[0].lower()
if firstarg == "hotshot":
import hotshot
import hotshot.stats
av = av[1:]
prof_log_name = "XXXX.prof"
prof = hotshot.Profile(prof_log_name)
# benchtime, result = prof.runcall(main, *av)
result = prof.runcall(main, *(av, ))
print("result", repr(result))
prof.close()
stats = hotshot.stats.load(prof_log_name)
stats.strip_dirs()
stats.sort_stats('time', 'calls')
stats.print_stats(20)
elif firstarg == "profile":
import cProfile
av = av[1:]
cProfile.run('main(av)', 'YYYY.prof')
import pstats
p = pstats.Stats('YYYY.prof')
p.strip_dirs().sort_stats('cumulative').print_stats(30)
elif firstarg == "psyco":
PSYCO = 1
main(av[1:])
else:
main(av)