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1 | 1 | # profiling.py - profiling functions |
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2 | 2 | # |
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3 | 3 | # Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com> |
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4 | 4 | # |
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5 | 5 | # This software may be used and distributed according to the terms of the |
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6 | 6 | # GNU General Public License version 2 or any later version. |
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7 | 7 | |
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8 | 8 | from __future__ import absolute_import, print_function |
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9 | 9 | |
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10 | 10 | import contextlib |
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11 | 11 | |
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12 | 12 | from .i18n import _ |
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13 | 13 | from . import ( |
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14 | 14 | encoding, |
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15 | 15 | error, |
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16 | 16 | extensions, |
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17 | 17 | util, |
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18 | 18 | ) |
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19 | 19 | |
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20 | 20 | def _loadprofiler(ui, profiler): |
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21 | 21 | """load profiler extension. return profile method, or None on failure""" |
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22 | 22 | extname = profiler |
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23 | 23 | extensions.loadall(ui, whitelist=[extname]) |
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24 | 24 | try: |
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25 | 25 | mod = extensions.find(extname) |
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26 | 26 | except KeyError: |
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27 | 27 | return None |
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28 | 28 | else: |
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29 | 29 | return getattr(mod, 'profile', None) |
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30 | 30 | |
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31 | 31 | @contextlib.contextmanager |
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32 | 32 | def lsprofile(ui, fp): |
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33 | 33 | format = ui.config('profiling', 'format', default='text') |
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34 | 34 | field = ui.config('profiling', 'sort', default='inlinetime') |
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35 | 35 | limit = ui.configint('profiling', 'limit', default=30) |
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36 | 36 | climit = ui.configint('profiling', 'nested', default=0) |
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37 | 37 | |
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38 | 38 | if format not in ['text', 'kcachegrind']: |
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39 | 39 | ui.warn(_("unrecognized profiling format '%s'" |
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40 | 40 | " - Ignored\n") % format) |
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41 | 41 | format = 'text' |
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42 | 42 | |
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43 | 43 | try: |
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44 | 44 | from . import lsprof |
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45 | 45 | except ImportError: |
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46 | 46 | raise error.Abort(_( |
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47 | 47 | 'lsprof not available - install from ' |
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48 | 48 | 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/')) |
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49 | 49 | p = lsprof.Profiler() |
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50 | 50 | p.enable(subcalls=True) |
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51 | 51 | try: |
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52 | 52 | yield |
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53 | 53 | finally: |
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54 | 54 | p.disable() |
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55 | 55 | |
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56 | 56 | if format == 'kcachegrind': |
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57 | 57 | from . import lsprofcalltree |
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58 | 58 | calltree = lsprofcalltree.KCacheGrind(p) |
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59 | 59 | calltree.output(fp) |
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60 | 60 | else: |
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61 | 61 | # format == 'text' |
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62 | 62 | stats = lsprof.Stats(p.getstats()) |
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63 | 63 | stats.sort(field) |
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64 | 64 | stats.pprint(limit=limit, file=fp, climit=climit) |
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65 | 65 | |
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66 | 66 | @contextlib.contextmanager |
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67 | 67 | def flameprofile(ui, fp): |
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68 | 68 | try: |
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69 | 69 | from flamegraph import flamegraph |
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70 | 70 | except ImportError: |
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71 | 71 | raise error.Abort(_( |
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72 | 72 | 'flamegraph not available - install from ' |
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73 | 73 | 'https://github.com/evanhempel/python-flamegraph')) |
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74 | 74 | # developer config: profiling.freq |
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75 | 75 | freq = ui.configint('profiling', 'freq', default=1000) |
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76 | 76 | filter_ = None |
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77 | 77 | collapse_recursion = True |
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78 | 78 | thread = flamegraph.ProfileThread(fp, 1.0 / freq, |
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79 | 79 | filter_, collapse_recursion) |
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80 | 80 | start_time = util.timer() |
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81 | 81 | try: |
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82 | 82 | thread.start() |
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83 | 83 | yield |
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84 | 84 | finally: |
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85 | 85 | thread.stop() |
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86 | 86 | thread.join() |
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87 | 87 | print('Collected %d stack frames (%d unique) in %2.2f seconds.' % ( |
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88 | 88 | util.timer() - start_time, thread.num_frames(), |
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89 | 89 | thread.num_frames(unique=True))) |
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90 | 90 | |
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91 | 91 | @contextlib.contextmanager |
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92 | 92 | def statprofile(ui, fp): |
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93 | 93 | from . import statprof |
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94 | 94 | |
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95 | 95 | freq = ui.configint('profiling', 'freq', default=1000) |
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96 | 96 | if freq > 0: |
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97 | 97 | # Cannot reset when profiler is already active. So silently no-op. |
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98 | 98 | if statprof.state.profile_level == 0: |
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99 | 99 | statprof.reset(freq) |
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100 | 100 | else: |
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101 | 101 | ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq) |
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102 | 102 | |
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103 | 103 | statprof.start(mechanism='thread') |
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104 | 104 | |
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105 | 105 | try: |
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106 | 106 | yield |
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107 | 107 | finally: |
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108 | 108 | data = statprof.stop() |
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109 | 109 | |
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110 | 110 | profformat = ui.config('profiling', 'statformat', 'hotpath') |
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111 | 111 | |
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112 | 112 | formats = { |
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113 | 113 | 'byline': statprof.DisplayFormats.ByLine, |
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114 | 114 | 'bymethod': statprof.DisplayFormats.ByMethod, |
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115 | 115 | 'hotpath': statprof.DisplayFormats.Hotpath, |
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116 | 116 | 'json': statprof.DisplayFormats.Json, |
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117 | 117 | 'chrome': statprof.DisplayFormats.Chrome, |
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118 | 118 | } |
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119 | 119 | |
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120 | 120 | if profformat in formats: |
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121 | 121 | displayformat = formats[profformat] |
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122 | 122 | else: |
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123 | 123 | ui.warn(_('unknown profiler output format: %s\n') % profformat) |
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124 | 124 | displayformat = statprof.DisplayFormats.Hotpath |
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125 | 125 | |
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126 | 126 | kwargs = {} |
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127 | 127 | |
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128 | 128 | def fraction(s): |
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129 | 129 | if s.endswith('%'): |
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130 | 130 | v = float(s[:-1]) / 100 |
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131 | 131 | else: |
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132 | 132 | v = float(s) |
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133 | 133 | if 0 <= v <= 1: |
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134 | 134 | return v |
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135 | 135 | raise ValueError(s) |
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136 | 136 | |
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137 | 137 | if profformat == 'chrome': |
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138 | 138 | showmin = ui.configwith(fraction, 'profiling', 'showmin', 0.005) |
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139 | 139 | showmax = ui.configwith(fraction, 'profiling', 'showmax', 0.999) |
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140 | 140 | kwargs.update(minthreshold=showmin, maxthreshold=showmax) |
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141 | 141 | |
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142 | 142 | statprof.display(fp, data=data, format=displayformat, **kwargs) |
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143 | 143 | |
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144 | 144 | class profile(object): |
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145 | 145 | """Start profiling. |
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146 | 146 | |
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147 | 147 | Profiling is active when the context manager is active. When the context |
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148 | 148 | manager exits, profiling results will be written to the configured output. |
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149 | 149 | """ |
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150 | 150 | def __init__(self, ui, enabled=True): |
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151 | 151 | self._ui = ui |
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152 | 152 | self._output = None |
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153 | 153 | self._fp = None |
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154 | 154 | self._fpdoclose = True |
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155 | 155 | self._profiler = None |
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156 | 156 | self._enabled = enabled |
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157 | 157 | self._entered = False |
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158 | 158 | self._started = False |
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159 | 159 | |
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160 | 160 | def __enter__(self): |
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161 | 161 | self._entered = True |
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162 | 162 | if self._enabled: |
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163 | 163 | self.start() |
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164 | 164 | return self |
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165 | 165 | |
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166 | 166 | def start(self): |
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167 | 167 | """Start profiling. |
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168 | 168 | |
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169 | 169 | The profiling will stop at the context exit. |
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170 | 170 | |
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171 | 171 | If the profiler was already started, this has no effect.""" |
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172 | 172 | if not self._entered: |
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173 | 173 | raise error.ProgrammingError() |
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174 | 174 | if self._started: |
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175 | 175 | return |
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176 | 176 | self._started = True |
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177 | 177 | profiler = encoding.environ.get('HGPROF') |
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178 | 178 | proffn = None |
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179 | 179 | if profiler is None: |
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180 | 180 | profiler = self._ui.config('profiling', 'type', default='stat') |
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181 | 181 | if profiler not in ('ls', 'stat', 'flame'): |
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182 | 182 | # try load profiler from extension with the same name |
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183 | 183 | proffn = _loadprofiler(self._ui, profiler) |
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184 | 184 | if proffn is None: |
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185 | 185 | self._ui.warn(_("unrecognized profiler '%s' - ignored\n") |
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186 | 186 | % profiler) |
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187 | 187 | profiler = 'stat' |
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188 | 188 | |
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189 | 189 | self._output = self._ui.config('profiling', 'output') |
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190 | 190 | |
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191 | 191 | try: |
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192 | 192 | if self._output == 'blackbox': |
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193 | 193 | self._fp = util.stringio() |
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194 | 194 | elif self._output: |
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195 | 195 | path = self._ui.expandpath(self._output) |
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196 | 196 | self._fp = open(path, 'wb') |
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197 | 197 | else: |
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198 | 198 | self._fpdoclose = False |
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199 | 199 | self._fp = self._ui.ferr |
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200 | 200 | |
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201 | 201 | if proffn is not None: |
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202 | 202 | pass |
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203 | 203 | elif profiler == 'ls': |
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204 | 204 | proffn = lsprofile |
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205 | 205 | elif profiler == 'flame': |
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206 | 206 | proffn = flameprofile |
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207 | 207 | else: |
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208 | 208 | proffn = statprofile |
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209 | 209 | |
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210 | 210 | self._profiler = proffn(self._ui, self._fp) |
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211 | 211 | self._profiler.__enter__() |
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212 | 212 | except: # re-raises |
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213 | 213 | self._closefp() |
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214 | 214 | raise |
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215 | 215 | |
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216 | 216 | def __exit__(self, exception_type, exception_value, traceback): |
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217 | if self._profiler is None: | |
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218 | return | |
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219 | self._profiler.__exit__(exception_type, exception_value, traceback) | |
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220 | if self._output == 'blackbox': | |
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221 | val = 'Profile:\n%s' % self._fp.getvalue() | |
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222 | # ui.log treats the input as a format string, | |
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223 | # so we need to escape any % signs. | |
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224 | val = val.replace('%', '%%') | |
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225 | self._ui.log('profile', val) | |
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217 | if self._profiler is not None: | |
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218 | self._profiler.__exit__(exception_type, exception_value, traceback) | |
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219 | if self._output == 'blackbox': | |
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220 | val = 'Profile:\n%s' % self._fp.getvalue() | |
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221 | # ui.log treats the input as a format string, | |
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222 | # so we need to escape any % signs. | |
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223 | val = val.replace('%', '%%') | |
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224 | self._ui.log('profile', val) | |
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226 | 225 | self._closefp() |
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227 | 226 | |
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228 | 227 | def _closefp(self): |
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229 | 228 | if self._fpdoclose and self._fp is not None: |
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230 | 229 | self._fp.close() |
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