blob: f1d06f1e97d08a17a126a92b7ba2e622ea7f41ae [file] [log] [blame]
###########################################################################
#
# Psyco profiler (Python part).
# Copyright (C) 2001-2002 Armin Rigo et.al.
"""Psyco profiler (Python part).
The implementation of the non-time-critical parts of the profiler.
See profile() and full() in core.py for the easy interface.
"""
###########################################################################
import _psyco
from support import *
import math, time, types, atexit
now = time.time
try:
import thread
except ImportError:
import dummy_thread as thread
# current profiler instance
current = None
# enabled profilers, in order of priority
profilers = []
# logger module (when enabled by core.log())
logger = None
# a lock for a thread-safe go()
go_lock = thread.allocate_lock()
def go(stop=0):
# run the highest-priority profiler in 'profilers'
global current
go_lock.acquire()
try:
prev = current
if stop:
del profilers[:]
if prev:
if profilers and profilers[0] is prev:
return # best profiler already running
prev.stop()
current = None
for p in profilers[:]:
if p.start():
current = p
if logger: # and p is not prev:
logger.write("%s: starting" % p.__class__.__name__, 5)
return
finally:
go_lock.release()
# no profiler is running now
if stop:
if logger:
logger.writefinalstats()
else:
tag2bind()
atexit.register(go, 1)
def buildfncache(globals, cache):
if hasattr(types.IntType, '__dict__'):
clstypes = (types.ClassType, types.TypeType)
else:
clstypes = types.ClassType
for x in globals.values():
if isinstance(x, types.MethodType):
x = x.im_func
if isinstance(x, types.FunctionType):
cache[x.func_code] = x, ''
elif isinstance(x, clstypes):
for y in x.__dict__.values():
if isinstance(y, types.MethodType):
y = y.im_func
if isinstance(y, types.FunctionType):
cache[y.func_code] = y, x.__name__
# code-to-function mapping (cache)
function_cache = {}
def trytobind(co, globals, log=1):
try:
f, clsname = function_cache[co]
except KeyError:
buildfncache(globals, function_cache)
try:
f, clsname = function_cache[co]
except KeyError:
if logger:
logger.write('warning: cannot find function %s in %s' %
(co.co_name, globals.get('__name__', '?')), 3)
return # give up
if logger and log:
modulename = globals.get('__name__', '?')
if clsname:
modulename += '.' + clsname
logger.write('bind function: %s.%s' % (modulename, co.co_name), 1)
f.func_code = _psyco.proxycode(f)
# the list of code objects that have been tagged
tagged_codes = []
def tag(co, globals):
if logger:
try:
f, clsname = function_cache[co]
except KeyError:
buildfncache(globals, function_cache)
try:
f, clsname = function_cache[co]
except KeyError:
clsname = '' # give up
modulename = globals.get('__name__', '?')
if clsname:
modulename += '.' + clsname
logger.write('tag function: %s.%s' % (modulename, co.co_name), 1)
tagged_codes.append((co, globals))
_psyco.turbo_frame(co)
_psyco.turbo_code(co)
def tag2bind():
if tagged_codes:
if logger:
logger.write('profiling stopped, binding %d functions' %
len(tagged_codes), 2)
for co, globals in tagged_codes:
trytobind(co, globals, 0)
function_cache.clear()
del tagged_codes[:]
class Profiler:
MemoryTimerResolution = 0.103
def run(self, memory, time, memorymax, timemax):
self.memory = memory
self.memorymax = memorymax
self.time = time
if timemax is None:
self.endtime = None
else:
self.endtime = now() + timemax
self.alarms = []
profilers.append(self)
go()
def start(self):
curmem = _psyco.memory()
memlimits = []
if self.memorymax is not None:
if curmem >= self.memorymax:
if logger:
logger.writememory()
return self.limitreached('memorymax')
memlimits.append(self.memorymax)
if self.memory is not None:
if self.memory <= 0:
if logger:
logger.writememory()
return self.limitreached('memory')
memlimits.append(curmem + self.memory)
self.memory_at_start = curmem
curtime = now()
timelimits = []
if self.endtime is not None:
if curtime >= self.endtime:
return self.limitreached('timemax')
timelimits.append(self.endtime - curtime)
if self.time is not None:
if self.time <= 0.0:
return self.limitreached('time')
timelimits.append(self.time)
self.time_at_start = curtime
try:
self.do_start()
except error, e:
if logger:
logger.write('%s: disabled by psyco.error:' % (
self.__class__.__name__), 4)
logger.write(' %s' % str(e), 3)
return 0
if memlimits:
self.memlimits_args = (time.sleep, (self.MemoryTimerResolution,),
self.check_memory, (min(memlimits),))
self.alarms.append(_psyco.alarm(*self.memlimits_args))
if timelimits:
self.alarms.append(_psyco.alarm(time.sleep, (min(timelimits),),
self.time_out))
return 1
def stop(self):
for alarm in self.alarms:
alarm.stop(0)
for alarm in self.alarms:
alarm.stop(1) # wait for parallel threads to stop
del self.alarms[:]
if self.time is not None:
self.time -= now() - self.time_at_start
if self.memory is not None:
self.memory -= _psyco.memory() - self.memory_at_start
try:
self.do_stop()
except error:
return 0
return 1
def check_memory(self, limit):
if _psyco.memory() < limit:
return self.memlimits_args
go()
def time_out(self):
self.time = 0.0
go()
def limitreached(self, limitname):
try:
profilers.remove(self)
except ValueError:
pass
if logger:
logger.write('%s: disabled (%s limit reached)' % (
self.__class__.__name__, limitname), 4)
return 0
class FullCompiler(Profiler):
def do_start(self):
_psyco.profiling('f')
def do_stop(self):
_psyco.profiling('.')
class RunOnly(Profiler):
def do_start(self):
_psyco.profiling('n')
def do_stop(self):
_psyco.profiling('.')
class ChargeProfiler(Profiler):
def __init__(self, watermark, parentframe):
self.watermark = watermark
self.parent2 = parentframe * 2.0
self.lock = thread.allocate_lock()
def init_charges(self):
_psyco.statwrite(watermark = self.watermark,
parent2 = self.parent2)
def do_stop(self):
_psyco.profiling('.')
_psyco.statwrite(callback = None)
class ActiveProfiler(ChargeProfiler):
def active_start(self):
_psyco.profiling('p')
def do_start(self):
self.init_charges()
self.active_start()
_psyco.statwrite(callback = self.charge_callback)
def charge_callback(self, frame, charge):
tag(frame.f_code, frame.f_globals)
class PassiveProfiler(ChargeProfiler):
initial_charge_unit = _psyco.statread('unit')
reset_stats_after = 120 # half-lives (maximum 200!)
reset_limit = initial_charge_unit * (2.0 ** reset_stats_after)
def __init__(self, watermark, halflife, pollfreq, parentframe):
ChargeProfiler.__init__(self, watermark, parentframe)
self.pollfreq = pollfreq
# self.progress is slightly more than 1.0, and computed so that
# do_profile() will double the change_unit every 'halflife' seconds.
self.progress = 2.0 ** (1.0 / (halflife * pollfreq))
def reset(self):
_psyco.statwrite(unit = self.initial_charge_unit, callback = None)
_psyco.statreset()
if logger:
logger.write("%s: resetting stats" % self.__class__.__name__, 1)
def passive_start(self):
self.passivealarm_args = (time.sleep, (1.0 / self.pollfreq,),
self.do_profile)
self.alarms.append(_psyco.alarm(*self.passivealarm_args))
def do_start(self):
tag2bind()
self.init_charges()
self.passive_start()
def do_profile(self):
_psyco.statcollect()
if logger:
logger.dumpcharges()
nunit = _psyco.statread('unit') * self.progress
if nunit > self.reset_limit:
self.reset()
else:
_psyco.statwrite(unit = nunit, callback = self.charge_callback)
return self.passivealarm_args
def charge_callback(self, frame, charge):
trytobind(frame.f_code, frame.f_globals)
class ActivePassiveProfiler(PassiveProfiler, ActiveProfiler):
def do_start(self):
self.init_charges()
self.active_start()
self.passive_start()
def charge_callback(self, frame, charge):
tag(frame.f_code, frame.f_globals)
#
# we register our own version of sys.settrace(), sys.setprofile()
# and thread.start_new_thread().
#
def psyco_settrace(*args, **kw):
"This is the Psyco-aware version of sys.settrace()."
result = original_settrace(*args, **kw)
go()
return result
def psyco_setprofile(*args, **kw):
"This is the Psyco-aware version of sys.setprofile()."
result = original_setprofile(*args, **kw)
go()
return result
def psyco_thread_stub(callable, args, kw):
_psyco.statcollect()
if kw is None:
return callable(*args)
else:
return callable(*args, **kw)
def psyco_start_new_thread(callable, args, kw=None):
"This is the Psyco-aware version of thread.start_new_thread()."
return original_start_new_thread(psyco_thread_stub, (callable, args, kw))
original_settrace = sys.settrace
original_setprofile = sys.setprofile
original_start_new_thread = thread.start_new_thread
sys.settrace = psyco_settrace
sys.setprofile = psyco_setprofile
thread.start_new_thread = psyco_start_new_thread
# hack to patch threading._start_new_thread if the module is
# already loaded
if ('threading' in sys.modules and
hasattr(sys.modules['threading'], '_start_new_thread')):
sys.modules['threading']._start_new_thread = psyco_start_new_thread