annotate mercurial/peer.py @ 31464:0e7a6279ff6e

context: simplify call to icase matcher in 'match()' The two function takes the very same arguments. We make this clearer and less error prone by dispatching on the function only and having a single call point in the code.
author Pierre-Yves David <pierre-yves.david@ens-lyon.org>
date Wed, 15 Mar 2017 15:38:02 -0700
parents ead25aa27a43
children e2fc2122029c
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1ac628cd7113 peer: introduce real peer classes
Peter Arrenbrecht <peter.arrenbrecht@gmail.com>
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1 # peer.py - repository base classes for mercurial
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2 #
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3 # Copyright 2005, 2006 Matt Mackall <mpm@selenic.com>
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4 # Copyright 2006 Vadim Gelfer <vadim.gelfer@gmail.com>
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5 #
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6 # This software may be used and distributed according to the terms of the
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7 # GNU General Public License version 2 or any later version.
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8
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9 from __future__ import absolute_import
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10
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11 from .i18n import _
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12 from . import (
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13 error,
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14 util,
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15 )
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16
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17 # abstract batching support
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18
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19 class future(object):
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20 '''placeholder for a value to be set later'''
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21 def set(self, value):
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22 if util.safehasattr(self, 'value'):
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23 raise error.RepoError("future is already set")
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24 self.value = value
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25
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26 class batcher(object):
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27 '''base class for batches of commands submittable in a single request
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28
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29 All methods invoked on instances of this class are simply queued and
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30 return a a future for the result. Once you call submit(), all the queued
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31 calls are performed and the results set in their respective futures.
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32 '''
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33 def __init__(self):
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34 self.calls = []
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35 def __getattr__(self, name):
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36 def call(*args, **opts):
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37 resref = future()
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38 self.calls.append((name, args, opts, resref,))
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39 return resref
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40 return call
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41 def submit(self):
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42 raise NotImplementedError()
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43
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44 class iterbatcher(batcher):
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45
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46 def submit(self):
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47 raise NotImplementedError()
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48
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49 def results(self):
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50 raise NotImplementedError()
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51
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52 class localbatch(batcher):
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53 '''performs the queued calls directly'''
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54 def __init__(self, local):
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55 batcher.__init__(self)
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56 self.local = local
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57 def submit(self):
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58 for name, args, opts, resref in self.calls:
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59 resref.set(getattr(self.local, name)(*args, **opts))
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60
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61 class localiterbatcher(iterbatcher):
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62 def __init__(self, local):
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63 super(iterbatcher, self).__init__()
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64 self.local = local
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65
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66 def submit(self):
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67 # submit for a local iter batcher is a noop
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68 pass
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69
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70 def results(self):
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71 for name, args, opts, resref in self.calls:
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72 yield getattr(self.local, name)(*args, **opts)
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73
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74 def batchable(f):
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75 '''annotation for batchable methods
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76
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77 Such methods must implement a coroutine as follows:
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78
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79 @batchable
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80 def sample(self, one, two=None):
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81 # Handle locally computable results first:
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82 if not one:
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83 yield "a local result", None
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84 # Build list of encoded arguments suitable for your wire protocol:
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85 encargs = [('one', encode(one),), ('two', encode(two),)]
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86 # Create future for injection of encoded result:
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87 encresref = future()
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88 # Return encoded arguments and future:
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89 yield encargs, encresref
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90 # Assuming the future to be filled with the result from the batched
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91 # request now. Decode it:
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92 yield decode(encresref.value)
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93
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94 The decorator returns a function which wraps this coroutine as a plain
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95 method, but adds the original method as an attribute called "batchable",
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96 which is used by remotebatch to split the call into separate encoding and
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97 decoding phases.
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98 '''
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99 def plain(*args, **opts):
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100 batchable = f(*args, **opts)
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101 encargsorres, encresref = next(batchable)
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102 if not encresref:
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103 return encargsorres # a local result in this case
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104 self = args[0]
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105 encresref.set(self._submitone(f.func_name, encargsorres))
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106 return next(batchable)
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107 setattr(plain, 'batchable', f)
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108 return plain
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109
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110 class peerrepository(object):
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111
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112 def batch(self):
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113 return localbatch(self)
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114
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115 def iterbatch(self):
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116 """Batch requests but allow iterating over the results.
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117
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118 This is to allow interleaving responses with things like
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119 progress updates for clients.
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120 """
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121 return localiterbatcher(self)
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122
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123 def capable(self, name):
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124 '''tell whether repo supports named capability.
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125 return False if not supported.
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126 if boolean capability, return True.
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127 if string capability, return string.'''
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128 caps = self._capabilities()
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129 if name in caps:
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130 return True
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131 name_eq = name + '='
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132 for cap in caps:
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133 if cap.startswith(name_eq):
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134 return cap[len(name_eq):]
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135 return False
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136
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137 def requirecap(self, name, purpose):
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138 '''raise an exception if the given capability is not present'''
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139 if not self.capable(name):
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140 raise error.CapabilityError(
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141 _('cannot %s; remote repository does not '
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142 'support the %r capability') % (purpose, name))
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143
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144 def local(self):
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145 '''return peer as a localrepo, or None'''
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146 return None
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147
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148 def peer(self):
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149 return self
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150
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151 def canpush(self):
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152 return True
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153
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Adrian Buehlmann <adrian@cadifra.com>
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154 def close(self):
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155 pass