annotate mercurial/profiling.py @ 39763:5ccd791344f3

localrepo: pass root manifest into manifestlog.__init__ Today, localrepository has a method that can be overloaded which returns an instance of the root manifest storage object. When a manifestlog is created, it calls this private method and stores the root manifest object on it. This "hook" on localrepository isn't part of the documented interface. It isn't compatible with our desire to make repo storage determined before the repo object is constructed. This commit changes manifestlog.__init__ to accept the root storage object instead of calling into the repo to construct it. By doing things this way, the repo instance is responsible for constructing the manifest storage object directly. This does mean that other derived repo types need to overload manifestlog(). But they should have been doing this already, as manifestlog() is typically decorated in a storage-specific way. e.g. localrepository.manifestlog() is decorated as @storecache('00manifest.i'). And this assumes that a 00manifest.i file exists in the store vfs. This condition may not hold for repository types using non-revlog storage. So it is important for special repo types to override manifestlog() to remove this file association. The code changed in perf is wrong because it isn't compatible with older Mercurial versions. But I'm pretty sure the code was broken on older versions before this commit. It only affects `hg perftags`. I don't care enough to fix that at this time. .. api:: ``manifest.manifestlog.__init__()`` now receives the root manifest storage instance instead of calling into a private method on the repo object to obtain it. Differential Revision: https://phab.mercurial-scm.org/D4641
author Gregory Szorc <gregory.szorc@gmail.com>
date Tue, 18 Sep 2018 15:15:24 -0700
parents 15a1e37f80bd
children b8f6a99ad89b
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1 # profiling.py - profiling functions
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2 #
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3 # Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
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4 #
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5 # This software may be used and distributed according to the terms of the
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6 # GNU General Public License version 2 or any later version.
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7
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8 from __future__ import absolute_import, print_function
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9
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10 import contextlib
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11
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12 from .i18n import _
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13 from . import (
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14 encoding,
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15 error,
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16 extensions,
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17 pycompat,
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18 util,
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19 )
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20
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21 def _loadprofiler(ui, profiler):
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22 """load profiler extension. return profile method, or None on failure"""
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23 extname = profiler
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24 extensions.loadall(ui, whitelist=[extname])
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25 try:
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26 mod = extensions.find(extname)
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27 except KeyError:
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28 return None
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29 else:
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30 return getattr(mod, 'profile', None)
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31
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32 @contextlib.contextmanager
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33 def lsprofile(ui, fp):
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34 format = ui.config('profiling', 'format')
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35 field = ui.config('profiling', 'sort')
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36 limit = ui.configint('profiling', 'limit')
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37 climit = ui.configint('profiling', 'nested')
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38
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39 if format not in ['text', 'kcachegrind']:
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40 ui.warn(_("unrecognized profiling format '%s'"
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41 " - Ignored\n") % format)
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42 format = 'text'
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43
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44 try:
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45 from . import lsprof
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46 except ImportError:
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47 raise error.Abort(_(
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48 'lsprof not available - install from '
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49 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
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50 p = lsprof.Profiler()
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51 p.enable(subcalls=True)
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52 try:
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53 yield
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54 finally:
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55 p.disable()
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56
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57 if format == 'kcachegrind':
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58 from . import lsprofcalltree
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59 calltree = lsprofcalltree.KCacheGrind(p)
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60 calltree.output(fp)
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61 else:
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62 # format == 'text'
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63 stats = lsprof.Stats(p.getstats())
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64 stats.sort(field)
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65 stats.pprint(limit=limit, file=fp, climit=climit)
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66
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67 @contextlib.contextmanager
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68 def flameprofile(ui, fp):
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69 try:
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70 from flamegraph import flamegraph
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71 except ImportError:
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72 raise error.Abort(_(
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73 'flamegraph not available - install from '
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74 'https://github.com/evanhempel/python-flamegraph'))
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75 # developer config: profiling.freq
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76 freq = ui.configint('profiling', 'freq')
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77 filter_ = None
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78 collapse_recursion = True
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79 thread = flamegraph.ProfileThread(fp, 1.0 / freq,
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80 filter_, collapse_recursion)
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81 start_time = util.timer()
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82 try:
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83 thread.start()
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84 yield
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85 finally:
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86 thread.stop()
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87 thread.join()
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88 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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89 util.timer() - start_time, thread.num_frames(),
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90 thread.num_frames(unique=True)))
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91
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92 @contextlib.contextmanager
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93 def statprofile(ui, fp):
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94 from . import statprof
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95
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96 freq = ui.configint('profiling', 'freq')
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97 if freq > 0:
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98 # Cannot reset when profiler is already active. So silently no-op.
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99 if statprof.state.profile_level == 0:
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100 statprof.reset(freq)
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101 else:
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102 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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103
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104 track = ui.config('profiling', 'time-track')
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105 statprof.start(mechanism='thread', track=track)
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106
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107 try:
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108 yield
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109 finally:
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110 data = statprof.stop()
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111
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112 profformat = ui.config('profiling', 'statformat')
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113
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114 formats = {
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115 'byline': statprof.DisplayFormats.ByLine,
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116 'bymethod': statprof.DisplayFormats.ByMethod,
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117 'hotpath': statprof.DisplayFormats.Hotpath,
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118 'json': statprof.DisplayFormats.Json,
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119 'chrome': statprof.DisplayFormats.Chrome,
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120 }
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121
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122 if profformat in formats:
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123 displayformat = formats[profformat]
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124 else:
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125 ui.warn(_('unknown profiler output format: %s\n') % profformat)
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126 displayformat = statprof.DisplayFormats.Hotpath
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127
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128 kwargs = {}
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129
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130 def fraction(s):
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131 if isinstance(s, (float, int)):
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132 return float(s)
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133 if s.endswith('%'):
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134 v = float(s[:-1]) / 100
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135 else:
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136 v = float(s)
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137 if 0 <= v <= 1:
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138 return v
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139 raise ValueError(s)
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140
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141 if profformat == 'chrome':
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142 showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005)
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143 showmax = ui.configwith(fraction, 'profiling', 'showmax')
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144 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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145 elif profformat == 'hotpath':
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146 # inconsistent config: profiling.showmin
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147 limit = ui.configwith(fraction, 'profiling', 'showmin', 0.05)
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148 kwargs[r'limit'] = limit
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149
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150 statprof.display(fp, data=data, format=displayformat, **kwargs)
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151
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152 class profile(object):
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153 """Start profiling.
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154
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155 Profiling is active when the context manager is active. When the context
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156 manager exits, profiling results will be written to the configured output.
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157 """
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158 def __init__(self, ui, enabled=True):
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159 self._ui = ui
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160 self._output = None
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161 self._fp = None
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162 self._fpdoclose = True
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163 self._profiler = None
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164 self._enabled = enabled
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165 self._entered = False
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166 self._started = False
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167
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168 def __enter__(self):
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169 self._entered = True
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170 if self._enabled:
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171 self.start()
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172 return self
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173
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174 def start(self):
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175 """Start profiling.
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176
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diff changeset
177 The profiling will stop at the context exit.
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178
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179 If the profiler was already started, this has no effect."""
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180 if not self._entered:
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181 raise error.ProgrammingError()
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182 if self._started:
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183 return
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184 self._started = True
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185 profiler = encoding.environ.get('HGPROF')
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186 proffn = None
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187 if profiler is None:
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188 profiler = self._ui.config('profiling', 'type')
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189 if profiler not in ('ls', 'stat', 'flame'):
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190 # try load profiler from extension with the same name
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191 proffn = _loadprofiler(self._ui, profiler)
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192 if proffn is None:
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193 self._ui.warn(_("unrecognized profiler '%s' - ignored\n")
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194 % profiler)
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195 profiler = 'stat'
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196
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197 self._output = self._ui.config('profiling', 'output')
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198
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199 try:
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200 if self._output == 'blackbox':
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201 self._fp = util.stringio()
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202 elif self._output:
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203 path = self._ui.expandpath(self._output)
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204 self._fp = open(path, 'wb')
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205 elif pycompat.iswindows:
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206 # parse escape sequence by win32print()
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207 class uifp(object):
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208 def __init__(self, ui):
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209 self._ui = ui
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diff changeset
210 def write(self, data):
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211 self._ui.write_err(data)
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212 def flush(self):
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213 self._ui.flush()
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214 self._fpdoclose = False
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215 self._fp = uifp(self._ui)
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216 else:
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217 self._fpdoclose = False
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218 self._fp = self._ui.ferr
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219
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220 if proffn is not None:
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221 pass
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222 elif profiler == 'ls':
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223 proffn = lsprofile
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224 elif profiler == 'flame':
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225 proffn = flameprofile
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226 else:
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227 proffn = statprofile
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228
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229 self._profiler = proffn(self._ui, self._fp)
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230 self._profiler.__enter__()
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diff changeset
231 except: # re-raises
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diff changeset
232 self._closefp()
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diff changeset
233 raise
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234
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235 def __exit__(self, exception_type, exception_value, traceback):
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236 propagate = None
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237 if self._profiler is not None:
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diff changeset
238 propagate = self._profiler.__exit__(exception_type, exception_value,
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239 traceback)
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diff changeset
240 if self._output == 'blackbox':
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241 val = 'Profile:\n%s' % self._fp.getvalue()
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242 # ui.log treats the input as a format string,
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243 # so we need to escape any % signs.
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244 val = val.replace('%', '%%')
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245 self._ui.log('profile', val)
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246 self._closefp()
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diff changeset
247 return propagate
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diff changeset
248
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diff changeset
249 def _closefp(self):
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diff changeset
250 if self._fpdoclose and self._fp is not None:
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diff changeset
251 self._fp.close()