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annotate mercurial/profiling.py @ 32784:086c1ef0f666

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profile: introduce a "start" method to the profile context The start method is doing all profiler setup and activation. It is currently unconditionally called by '__init__' but this will be made more flexible in later changesets.
author Pierre-Yves David <pierre-yves.david@octobus.net>
date Fri, 09 Jun 2017 11:39:53 +0100
parents 4483696dacee
children 37ec8f24d912
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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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 util,
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18 )
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19
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20 def _loadprofiler(ui, profiler):
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21 """load profiler extension. return profile method, or None on failure"""
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22 extname = profiler
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23 extensions.loadall(ui, whitelist=[extname])
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24 try:
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25 mod = extensions.find(extname)
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26 except KeyError:
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27 return None
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28 else:
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29 return getattr(mod, 'profile', None)
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30
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31 @contextlib.contextmanager
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32 def lsprofile(ui, fp):
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33 format = ui.config('profiling', 'format', default='text')
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34 field = ui.config('profiling', 'sort', default='inlinetime')
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35 limit = ui.configint('profiling', 'limit', default=30)
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36 climit = ui.configint('profiling', 'nested', default=0)
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37
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38 if format not in ['text', 'kcachegrind']:
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39 ui.warn(_("unrecognized profiling format '%s'"
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40 " - Ignored\n") % format)
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41 format = 'text'
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42
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43 try:
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44 from . import lsprof
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45 except ImportError:
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46 raise error.Abort(_(
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47 'lsprof not available - install from '
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48 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
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49 p = lsprof.Profiler()
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50 p.enable(subcalls=True)
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51 try:
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52 yield
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53 finally:
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54 p.disable()
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55
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56 if format == 'kcachegrind':
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57 from . import lsprofcalltree
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58 calltree = lsprofcalltree.KCacheGrind(p)
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59 calltree.output(fp)
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60 else:
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61 # format == 'text'
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62 stats = lsprof.Stats(p.getstats())
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63 stats.sort(field)
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64 stats.pprint(limit=limit, file=fp, climit=climit)
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65
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66 @contextlib.contextmanager
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67 def flameprofile(ui, fp):
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68 try:
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69 from flamegraph import flamegraph
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70 except ImportError:
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71 raise error.Abort(_(
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72 'flamegraph not available - install from '
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73 'https://github.com/evanhempel/python-flamegraph'))
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74 # developer config: profiling.freq
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75 freq = ui.configint('profiling', 'freq', default=1000)
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76 filter_ = None
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77 collapse_recursion = True
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78 thread = flamegraph.ProfileThread(fp, 1.0 / freq,
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79 filter_, collapse_recursion)
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80 start_time = util.timer()
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81 try:
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82 thread.start()
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83 yield
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84 finally:
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85 thread.stop()
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86 thread.join()
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87 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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88 util.timer() - start_time, thread.num_frames(),
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89 thread.num_frames(unique=True)))
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90
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91 @contextlib.contextmanager
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92 def statprofile(ui, fp):
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93 from . import statprof
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94
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95 freq = ui.configint('profiling', 'freq', default=1000)
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96 if freq > 0:
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97 # Cannot reset when profiler is already active. So silently no-op.
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98 if statprof.state.profile_level == 0:
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99 statprof.reset(freq)
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100 else:
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101 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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102
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103 statprof.start(mechanism='thread')
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104
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105 try:
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106 yield
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107 finally:
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108 data = statprof.stop()
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109
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110 profformat = ui.config('profiling', 'statformat', 'hotpath')
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111
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112 formats = {
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113 'byline': statprof.DisplayFormats.ByLine,
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114 'bymethod': statprof.DisplayFormats.ByMethod,
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115 'hotpath': statprof.DisplayFormats.Hotpath,
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116 'json': statprof.DisplayFormats.Json,
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117 'chrome': statprof.DisplayFormats.Chrome,
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118 }
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119
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120 if profformat in formats:
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121 displayformat = formats[profformat]
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122 else:
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123 ui.warn(_('unknown profiler output format: %s\n') % profformat)
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124 displayformat = statprof.DisplayFormats.Hotpath
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125
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126 kwargs = {}
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127
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128 def fraction(s):
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129 if s.endswith('%'):
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130 v = float(s[:-1]) / 100
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131 else:
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132 v = float(s)
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133 if 0 <= v <= 1:
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134 return v
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135 raise ValueError(s)
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136
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137 if profformat == 'chrome':
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138 showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005)
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139 showmax = ui.configwith(fraction, 'profiling', 'showmax', 0.999)
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140 kwargs.update(minthreshold=showmin, maxthreshold=showmax)
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141
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142 statprof.display(fp, data=data, format=displayformat, **kwargs)
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143
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144 class profile(object):
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145 """Start profiling.
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146
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147 Profiling is active when the context manager is active. When the context
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148 manager exits, profiling results will be written to the configured output.
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149 """
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150 def __init__(self, ui):
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151 self._ui = ui
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152 self._output = None
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153 self._fp = None
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154 self._profiler = None
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155 self._entered = False
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156 self._started = False
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157
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158 def __enter__(self):
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159 self._entered = True
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160 self.start()
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161
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162 def start(self):
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163 """Start profiling.
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164
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165 The profiling will stop at the context exit.
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166
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167 If the profiler was already started, this has no effect."""
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168 if not self._entered:
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169 raise error.ProgrammingError()
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170 if self._started:
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171 return
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172 self._started = True
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173 profiler = encoding.environ.get('HGPROF')
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174 proffn = None
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175 if profiler is None:
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176 profiler = self._ui.config('profiling', 'type', default='stat')
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177 if profiler not in ('ls', 'stat', 'flame'):
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178 # try load profiler from extension with the same name
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179 proffn = _loadprofiler(self._ui, profiler)
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180 if proffn is None:
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181 self._ui.warn(_("unrecognized profiler '%s' - ignored\n")
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182 % profiler)
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183 profiler = 'stat'
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184
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185 self._output = self._ui.config('profiling', 'output')
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186
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187 if self._output == 'blackbox':
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188 self._fp = util.stringio()
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189 elif self._output:
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190 path = self._ui.expandpath(self._output)
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191 self._fp = open(path, 'wb')
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192 else:
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193 self._fp = self._ui.ferr
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194
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195 if proffn is not None:
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196 pass
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197 elif profiler == 'ls':
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198 proffn = lsprofile
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199 elif profiler == 'flame':
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200 proffn = flameprofile
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201 else:
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202 proffn = statprofile
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203
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204 self._profiler = proffn(self._ui, self._fp)
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205 self._profiler.__enter__()
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206
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207 def __exit__(self, exception_type, exception_value, traceback):
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208 if self._profiler is None:
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209 return
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210 self._profiler.__exit__(exception_type, exception_value, traceback)
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211 if self._output:
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212 if self._output == 'blackbox':
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213 val = 'Profile:\n%s' % self._fp.getvalue()
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214 # ui.log treats the input as a format string,
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215 # so we need to escape any % signs.
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216 val = val.replace('%', '%%')
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217 self._ui.log('profile', val)
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218 self._fp.close()
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219
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220 @contextlib.contextmanager
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221 def maybeprofile(ui):
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222 """Profile if enabled, else do nothing.
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223
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224 This context manager can be used to optionally profile if profiling
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225 is enabled. Otherwise, it does nothing.
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226
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227 The purpose of this context manager is to make calling code simpler:
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228 just use a single code path for calling into code you may want to profile
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229 and this function determines whether to start profiling.
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230 """
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231 if ui.configbool('profiling', 'enabled'):
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232 with profile(ui):
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233 yield
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234 else:
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235 yield