view mercurial/profiling.py @ 43913:4b7d5d10c45d

exchange: ensure all outgoing subrepo references are present before pushing

We've run into occasional problems with people committing a repo, and then
amending or rebasing in the subrepo.  That makes it so that the revision in the
parent can't be checked out, and the problem gets propagated on push.  Mercurial
already tries to defend against this sort of dangling reference by pushing *all*
subrepo revisions first.  This reuses the checks that trigger warnings in
`hg verify` to bail on the push unless using `--force`.

I thought about putting this on the server side, but at that point, all of the
data has been transferred, only to bail out.  Additionally, SCM Manager hosts
subrepos in a location that isn't nested in the parent, so normal subrepo code
would complain that the subrepo is missing when run on the server.

Because the push command pushes subrepos before calling this exchange code, a
subrepo will be pushed before the parent is verified.  Not great, but no
dangling references are exchanged, so it solves the problem.  This code isn't in
the loop that pushes the subrepos because:

  1) the list of outgoing revisions is needed to limit the scope of the check
  2) the loop only accesses the current revision, and therefore can miss
     subrepos that were dropped in previous commits
  3) this code is called when pushing a subrepo, so the protection is recursive

I'm not sure if there's a cheap check for the list of files in the outgoing
bundle.  If there is, that would provide a fast path to bypass this check for
people not using subrepos (or if no subrepo changes were made).  There's
probably also room for verifying other references like tags.  But since that
doesn't break checkouts, it's much less of a problem.

Differential Revision: https://phab.mercurial-scm.org/D7616

# profiling.py - profiling functions
#
# Copyright 2016 Gregory Szorc <[e-mail]>
#
# 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._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

            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:
            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()