Mercurial > hg
view mercurial/profiling.py @ 45796:e9555305c5c6
templates: include all non-branch namespaces in default one-line summary
I left out branches and custom namespaces on purpose from D9252
because I figured that people like us (Google) who have custom
namespaces can also have custom configs. However, I just realized that
this makes everyone with the topic extension lose the topic they've
had in rebase output for a long time (ever since someone was nice
enough to add it in D741). Sorry about the churn.
The more generic template couldn't easily keep the "log.bookmark"
label in the template because the namespace is called "bookmarks"
(plural). That means that we can't be compatible with users' existing
configs for "log.bookmark", so I decided to change the labels to be in
a brand-new "oneline-summary" namespace.
Differential Revision: https://phab.mercurial-scm.org/D9262
author | Martin von Zweigbergk <martinvonz@google.com> |
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date | Thu, 29 Oct 2020 09:03:08 -0700 |
parents | d6d4170882cd |
children | 5a6a1cd21f09 |
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# 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()