Mercurial > hg
view mercurial/profiling.py @ 48598:a6f16ec07ed7
stream-clone: add a explicit test for format change during stream clone
They are different kind of requirements, the one which impact the data storage
and are relevant to the files being streamed and the one which does not. For
example some requirements are only relevant to the working copy, like sparse, or
dirstate-v2.
Since they are irrelevant to the content being streamed, they do not prevent the
receiving side to use streaming clone and mercurial skip adverting them over
the wire and, ideally, within the bundle.
In addition, this let the client decide to use whichever format it desire for
the part that does not affect the store itself. So the configuration related to
these format are used as normal when doing a streaming clone.
In practice, the feature was not really tested and is badly broken with bundle-2,
since the requirements are not filtered out from the stream bundle.
So we start with adding simple tests as a good base before the fix and adjust
the feature.
Differential Revision: https://phab.mercurial-scm.org/D12029
author | Pierre-Yves David <pierre-yves.david@octobus.net> |
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date | Mon, 17 Jan 2022 18:51:47 +0100 |
parents | 5a6a1cd21f09 |
children | 6000f5b25c9b |
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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 = util.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()