nodemap: convert error message to bytes
Differential Revision: https://phab.mercurial-scm.org/D10169
# 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 .pycompat import (
getattr,
open,
)
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(b'profiling', b'format')
field = ui.config(b'profiling', b'sort')
limit = ui.configint(b'profiling', b'limit')
climit = ui.configint(b'profiling', b'nested')
if format not in [b'text', b'kcachegrind']:
ui.warn(_(b"unrecognized profiling format '%s' - Ignored\n") % format)
format = b'text'
try:
from . import lsprof
except ImportError:
raise error.Abort(
_(
b'lsprof not available - install from '
b'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'
)
)
p = lsprof.Profiler()
p.enable(subcalls=True)
try:
yield
finally:
p.disable()
if format == b'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 # pytype: disable=import-error
except ImportError:
raise error.Abort(
_(
b'flamegraph not available - install from '
b'https://github.com/evanhempel/python-flamegraph'
)
)
# developer config: profiling.freq
freq = ui.configint(b'profiling', b'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(
b'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(b'profiling', b'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(_(b"invalid sampling frequency '%s' - ignoring\n") % freq)
track = ui.config(
b'profiling', b'time-track', pycompat.iswindows and b'cpu' or b'real'
)
statprof.start(mechanism=b'thread', track=track)
try:
yield
finally:
data = statprof.stop()
profformat = ui.config(b'profiling', b'statformat')
formats = {
b'byline': statprof.DisplayFormats.ByLine,
b'bymethod': statprof.DisplayFormats.ByMethod,
b'hotpath': statprof.DisplayFormats.Hotpath,
b'json': statprof.DisplayFormats.Json,
b'chrome': statprof.DisplayFormats.Chrome,
}
if profformat in formats:
displayformat = formats[profformat]
else:
ui.warn(_(b'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(b'%'):
v = float(s[:-1]) / 100
else:
v = float(s)
if 0 <= v <= 1:
return v
raise ValueError(s)
if profformat == b'chrome':
showmin = ui.configwith(fraction, b'profiling', b'showmin', 0.005)
showmax = ui.configwith(fraction, b'profiling', b'showmax')
kwargs.update(minthreshold=showmin, maxthreshold=showmax)
elif profformat == b'hotpath':
# inconsistent config: profiling.showmin
limit = ui.configwith(fraction, b'profiling', b'showmin', 0.05)
kwargs['limit'] = limit
showtime = ui.configbool(b'profiling', b'showtime')
kwargs['showtime'] = showtime
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._flushfp = None
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(b'use a context manager to start')
if self._started:
return
self._started = True
profiler = encoding.environ.get(b'HGPROF')
proffn = None
if profiler is None:
profiler = self._ui.config(b'profiling', b'type')
if profiler not in (b'ls', b'stat', b'flame'):
# try load profiler from extension with the same name
proffn = _loadprofiler(self._ui, profiler)
if proffn is None:
self._ui.warn(
_(b"unrecognized profiler '%s' - ignored\n") % profiler
)
profiler = b'stat'
self._output = self._ui.config(b'profiling', b'output')
try:
if self._output == b'blackbox':
self._fp = util.stringio()
elif self._output:
path = self._ui.expandpath(self._output)
self._fp = open(path, b'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
# Ensure we've flushed fout before writing to ferr.
self._flushfp = self._ui.fout
if proffn is not None:
pass
elif profiler == b'ls':
proffn = lsprofile
elif profiler == b'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:
self._uiflush()
propagate = self._profiler.__exit__(
exception_type, exception_value, traceback
)
if self._output == b'blackbox':
val = b'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(b'%', b'%%')
self._ui.log(b'profile', val)
self._closefp()
return propagate
def _closefp(self):
if self._fpdoclose and self._fp is not None:
self._fp.close()
def _uiflush(self):
if self._flushfp:
self._flushfp.flush()