|
|
# profiling.py - profiling functions
|
|
|
#
|
|
|
# Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
|
|
|
#
|
|
|
# This software may be used and distributed according to the terms of the
|
|
|
# GNU General Public License version 2 or any later version.
|
|
|
|
|
|
from __future__ import absolute_import, print_function
|
|
|
|
|
|
import contextlib
|
|
|
|
|
|
from .i18n import _
|
|
|
from . import (
|
|
|
encoding,
|
|
|
error,
|
|
|
extensions,
|
|
|
pycompat,
|
|
|
util,
|
|
|
)
|
|
|
|
|
|
def _loadprofiler(ui, profiler):
|
|
|
"""load profiler extension. return profile method, or None on failure"""
|
|
|
extname = profiler
|
|
|
extensions.loadall(ui, whitelist=[extname])
|
|
|
try:
|
|
|
mod = extensions.find(extname)
|
|
|
except KeyError:
|
|
|
return None
|
|
|
else:
|
|
|
return getattr(mod, 'profile', None)
|
|
|
|
|
|
@contextlib.contextmanager
|
|
|
def lsprofile(ui, fp):
|
|
|
format = ui.config('profiling', 'format')
|
|
|
field = ui.config('profiling', 'sort')
|
|
|
limit = ui.configint('profiling', 'limit')
|
|
|
climit = ui.configint('profiling', 'nested')
|
|
|
|
|
|
if format not in ['text', 'kcachegrind']:
|
|
|
ui.warn(_("unrecognized profiling format '%s'"
|
|
|
" - Ignored\n") % format)
|
|
|
format = 'text'
|
|
|
|
|
|
try:
|
|
|
from . import lsprof
|
|
|
except ImportError:
|
|
|
raise error.Abort(_(
|
|
|
'lsprof not available - install from '
|
|
|
'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
|
|
|
p = lsprof.Profiler()
|
|
|
p.enable(subcalls=True)
|
|
|
try:
|
|
|
yield
|
|
|
finally:
|
|
|
p.disable()
|
|
|
|
|
|
if format == 'kcachegrind':
|
|
|
from . import lsprofcalltree
|
|
|
calltree = lsprofcalltree.KCacheGrind(p)
|
|
|
calltree.output(fp)
|
|
|
else:
|
|
|
# format == 'text'
|
|
|
stats = lsprof.Stats(p.getstats())
|
|
|
stats.sort(pycompat.sysstr(field))
|
|
|
stats.pprint(limit=limit, file=fp, climit=climit)
|
|
|
|
|
|
@contextlib.contextmanager
|
|
|
def flameprofile(ui, fp):
|
|
|
try:
|
|
|
from flamegraph import flamegraph
|
|
|
except ImportError:
|
|
|
raise error.Abort(_(
|
|
|
'flamegraph not available - install from '
|
|
|
'https://github.com/evanhempel/python-flamegraph'))
|
|
|
# developer config: profiling.freq
|
|
|
freq = ui.configint('profiling', 'freq')
|
|
|
filter_ = None
|
|
|
collapse_recursion = True
|
|
|
thread = flamegraph.ProfileThread(fp, 1.0 / freq,
|
|
|
filter_, collapse_recursion)
|
|
|
start_time = util.timer()
|
|
|
try:
|
|
|
thread.start()
|
|
|
yield
|
|
|
finally:
|
|
|
thread.stop()
|
|
|
thread.join()
|
|
|
print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
|
|
|
util.timer() - start_time, thread.num_frames(),
|
|
|
thread.num_frames(unique=True)))
|
|
|
|
|
|
@contextlib.contextmanager
|
|
|
def statprofile(ui, fp):
|
|
|
from . import statprof
|
|
|
|
|
|
freq = ui.configint('profiling', 'freq')
|
|
|
if freq > 0:
|
|
|
# Cannot reset when profiler is already active. So silently no-op.
|
|
|
if statprof.state.profile_level == 0:
|
|
|
statprof.reset(freq)
|
|
|
else:
|
|
|
ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
|
|
|
|
|
|
track = ui.config('profiling', 'time-track',
|
|
|
pycompat.iswindows and 'cpu' or 'real')
|
|
|
statprof.start(mechanism='thread', track=track)
|
|
|
|
|
|
try:
|
|
|
yield
|
|
|
finally:
|
|
|
data = statprof.stop()
|
|
|
|
|
|
profformat = ui.config('profiling', 'statformat')
|
|
|
|
|
|
formats = {
|
|
|
'byline': statprof.DisplayFormats.ByLine,
|
|
|
'bymethod': statprof.DisplayFormats.ByMethod,
|
|
|
'hotpath': statprof.DisplayFormats.Hotpath,
|
|
|
'json': statprof.DisplayFormats.Json,
|
|
|
'chrome': statprof.DisplayFormats.Chrome,
|
|
|
}
|
|
|
|
|
|
if profformat in formats:
|
|
|
displayformat = formats[profformat]
|
|
|
else:
|
|
|
ui.warn(_('unknown profiler output format: %s\n') % profformat)
|
|
|
displayformat = statprof.DisplayFormats.Hotpath
|
|
|
|
|
|
kwargs = {}
|
|
|
|
|
|
def fraction(s):
|
|
|
if isinstance(s, (float, int)):
|
|
|
return float(s)
|
|
|
if s.endswith('%'):
|
|
|
v = float(s[:-1]) / 100
|
|
|
else:
|
|
|
v = float(s)
|
|
|
if 0 <= v <= 1:
|
|
|
return v
|
|
|
raise ValueError(s)
|
|
|
|
|
|
if profformat == 'chrome':
|
|
|
showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005)
|
|
|
showmax = ui.configwith(fraction, 'profiling', 'showmax')
|
|
|
kwargs.update(minthreshold=showmin, maxthreshold=showmax)
|
|
|
elif profformat == 'hotpath':
|
|
|
# inconsistent config: profiling.showmin
|
|
|
limit = ui.configwith(fraction, 'profiling', 'showmin', 0.05)
|
|
|
kwargs[r'limit'] = limit
|
|
|
|
|
|
statprof.display(fp, data=data, format=displayformat, **kwargs)
|
|
|
|
|
|
class profile(object):
|
|
|
"""Start profiling.
|
|
|
|
|
|
Profiling is active when the context manager is active. When the context
|
|
|
manager exits, profiling results will be written to the configured output.
|
|
|
"""
|
|
|
def __init__(self, ui, enabled=True):
|
|
|
self._ui = ui
|
|
|
self._output = None
|
|
|
self._fp = None
|
|
|
self._fpdoclose = True
|
|
|
self._profiler = None
|
|
|
self._enabled = enabled
|
|
|
self._entered = False
|
|
|
self._started = False
|
|
|
|
|
|
def __enter__(self):
|
|
|
self._entered = True
|
|
|
if self._enabled:
|
|
|
self.start()
|
|
|
return self
|
|
|
|
|
|
def start(self):
|
|
|
"""Start profiling.
|
|
|
|
|
|
The profiling will stop at the context exit.
|
|
|
|
|
|
If the profiler was already started, this has no effect."""
|
|
|
if not self._entered:
|
|
|
raise error.ProgrammingError()
|
|
|
if self._started:
|
|
|
return
|
|
|
self._started = True
|
|
|
profiler = encoding.environ.get('HGPROF')
|
|
|
proffn = None
|
|
|
if profiler is None:
|
|
|
profiler = self._ui.config('profiling', 'type')
|
|
|
if profiler not in ('ls', 'stat', 'flame'):
|
|
|
# try load profiler from extension with the same name
|
|
|
proffn = _loadprofiler(self._ui, profiler)
|
|
|
if proffn is None:
|
|
|
self._ui.warn(_("unrecognized profiler '%s' - ignored\n")
|
|
|
% profiler)
|
|
|
profiler = 'stat'
|
|
|
|
|
|
self._output = self._ui.config('profiling', 'output')
|
|
|
|
|
|
try:
|
|
|
if self._output == 'blackbox':
|
|
|
self._fp = util.stringio()
|
|
|
elif self._output:
|
|
|
path = self._ui.expandpath(self._output)
|
|
|
self._fp = open(path, 'wb')
|
|
|
elif pycompat.iswindows:
|
|
|
# parse escape sequence by win32print()
|
|
|
class uifp(object):
|
|
|
def __init__(self, ui):
|
|
|
self._ui = ui
|
|
|
def write(self, data):
|
|
|
self._ui.write_err(data)
|
|
|
def flush(self):
|
|
|
self._ui.flush()
|
|
|
self._fpdoclose = False
|
|
|
self._fp = uifp(self._ui)
|
|
|
else:
|
|
|
self._fpdoclose = False
|
|
|
self._fp = self._ui.ferr
|
|
|
|
|
|
if proffn is not None:
|
|
|
pass
|
|
|
elif profiler == 'ls':
|
|
|
proffn = lsprofile
|
|
|
elif profiler == 'flame':
|
|
|
proffn = flameprofile
|
|
|
else:
|
|
|
proffn = statprofile
|
|
|
|
|
|
self._profiler = proffn(self._ui, self._fp)
|
|
|
self._profiler.__enter__()
|
|
|
except: # re-raises
|
|
|
self._closefp()
|
|
|
raise
|
|
|
|
|
|
def __exit__(self, exception_type, exception_value, traceback):
|
|
|
propagate = None
|
|
|
if self._profiler is not None:
|
|
|
propagate = self._profiler.__exit__(exception_type, exception_value,
|
|
|
traceback)
|
|
|
if self._output == 'blackbox':
|
|
|
val = 'Profile:\n%s' % self._fp.getvalue()
|
|
|
# ui.log treats the input as a format string,
|
|
|
# so we need to escape any % signs.
|
|
|
val = val.replace('%', '%%')
|
|
|
self._ui.log('profile', val)
|
|
|
self._closefp()
|
|
|
return propagate
|
|
|
|
|
|
def _closefp(self):
|
|
|
if self._fpdoclose and self._fp is not None:
|
|
|
self._fp.close()
|
|
|
|