Mercurial > hg
annotate mercurial/tagmerge.py @ 45548:25e365d5aa8f
rebase: add dryrun property to rebaseruntime
I want to be able to check the property in
`rebaseruntime._rebasenode()`. Passing the value via the runtime is a
convenient way.
Differential Revision: https://phab.mercurial-scm.org/D9074
author | Martin von Zweigbergk <martinvonz@google.com> |
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date | Fri, 18 Sep 2020 15:40:26 -0700 |
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children | 89a2afe31e82 |
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1 # tagmerge.py - merge .hgtags files |
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2 # |
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3 # Copyright 2014 Angel Ezquerra <angel.ezquerra@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 # This module implements an automatic merge algorithm for mercurial's tag files |
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9 # |
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10 # The tagmerge algorithm implemented in this module is able to resolve most |
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11 # merge conflicts that currently would trigger a .hgtags merge conflict. The |
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12 # only case that it does not (and cannot) handle is that in which two tags point |
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13 # to different revisions on each merge parent _and_ their corresponding tag |
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14 # histories have the same rank (i.e. the same length). In all other cases the |
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15 # merge algorithm will choose the revision belonging to the parent with the |
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16 # highest ranked tag history. The merged tag history is the combination of both |
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17 # tag histories (special care is taken to try to combine common tag histories |
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18 # where possible). |
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19 # |
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20 # In addition to actually merging the tags from two parents, taking into |
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21 # account the base, the algorithm also tries to minimize the difference |
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22 # between the merged tag file and the first parent's tag file (i.e. it tries to |
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23 # make the merged tag order as as similar as possible to the first parent's tag |
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24 # file order). |
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25 # |
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26 # The algorithm works as follows: |
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27 # 1. read the tags from p1, p2 and the base |
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28 # - when reading the p1 tags, also get the line numbers associated to each |
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29 # tag node (these will be used to sort the merged tags in a way that |
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30 # minimizes the diff to p1). Ignore the file numbers when reading p2 and |
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31 # the base |
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32 # 2. recover the "lost tags" (i.e. those that are found in the base but not on |
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33 # p1 or p2) and add them back to p1 and/or p2 |
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34 # - at this point the only tags that are on p1 but not on p2 are those new |
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35 # tags that were introduced in p1. Same thing for the tags that are on p2 |
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36 # but not on p2 |
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37 # 3. take all tags that are only on p1 or only on p2 (but not on the base) |
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38 # - Note that these are the tags that were introduced between base and p1 |
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39 # and between base and p2, possibly on separate clones |
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40 # 4. for each tag found both on p1 and p2 perform the following merge algorithm: |
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41 # - the tags conflict if their tag "histories" have the same "rank" (i.e. |
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42 # length) AND the last (current) tag is NOT the same |
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43 # - for non conflicting tags: |
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44 # - choose which are the high and the low ranking nodes |
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45 # - the high ranking list of nodes is the one that is longer. |
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46 # In case of draw favor p1 |
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47 # - the merged node list is made of 3 parts: |
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48 # - first the nodes that are common to the beginning of both |
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49 # the low and the high ranking nodes |
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50 # - second the non common low ranking nodes |
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51 # - finally the non common high ranking nodes (with the last |
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52 # one being the merged tag node) |
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53 # - note that this is equivalent to putting the whole low ranking |
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54 # node list first, followed by the non common high ranking nodes |
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55 # - note that during the merge we keep the "node line numbers", which will |
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56 # be used when writing the merged tags to the tag file |
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57 # 5. write the merged tags taking into account to their positions in the first |
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58 # parent (i.e. try to keep the relative ordering of the nodes that come |
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59 # from p1). This minimizes the diff between the merged and the p1 tag files |
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60 # This is done by using the following algorithm |
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61 # - group the nodes for a given tag that must be written next to each other |
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62 # - A: nodes that come from consecutive lines on p1 |
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63 # - B: nodes that come from p2 (i.e. whose associated line number is |
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64 # None) and are next to one of the a nodes in A |
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65 # - each group is associated with a line number coming from p1 |
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66 # - generate a "tag block" for each of the groups |
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67 # - a tag block is a set of consecutive "node tag" lines belonging to |
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68 # the same tag and which will be written next to each other on the |
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69 # merged tags file |
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70 # - sort the "tag blocks" according to their associated number line |
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71 # - put blocks whose nodes come all from p2 first |
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72 # - write the tag blocks in the sorted order |
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73 |
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74 from __future__ import absolute_import |
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75 |
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76 from .i18n import _ |
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77 from .node import ( |
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78 hex, |
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79 nullid, |
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80 ) |
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81 from . import ( |
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82 tags as tagsmod, |
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83 util, |
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84 ) |
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85 |
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86 hexnullid = hex(nullid) |
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87 |
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88 |
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89 def readtagsformerge(ui, repo, lines, fn=b'', keeplinenums=False): |
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90 '''read the .hgtags file into a structure that is suitable for merging |
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91 |
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92 Depending on the keeplinenums flag, clear the line numbers associated |
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93 with each tag. This is done because only the line numbers of the first |
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94 parent are useful for merging. |
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95 ''' |
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96 filetags = tagsmod._readtaghist( |
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97 ui, repo, lines, fn=fn, recode=None, calcnodelines=True |
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98 )[1] |
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99 for tagname, taginfo in filetags.items(): |
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100 if not keeplinenums: |
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101 for el in taginfo: |
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102 el[1] = None |
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103 return filetags |
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104 |
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105 |
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106 def grouptagnodesbyline(tagnodes): |
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107 ''' |
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108 Group nearby nodes (i.e. those that must be written next to each other) |
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109 |
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110 The input is a list of [node, position] pairs, corresponding to a given tag |
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111 The position is the line number where the node was found on the first parent |
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112 .hgtags file, or None for those nodes that came from the base or the second |
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113 parent .hgtags files. |
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114 |
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115 This function groups those [node, position] pairs, returning a list of |
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116 groups of nodes that must be written next to each other because their |
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117 positions are consecutive or have no position preference (because their |
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118 position is None). |
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119 |
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120 The result is a list of [position, [consecutive node list]] |
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121 ''' |
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122 firstlinenum = None |
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123 for hexnode, linenum in tagnodes: |
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124 firstlinenum = linenum |
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125 if firstlinenum is not None: |
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126 break |
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127 if firstlinenum is None: |
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128 return [[None, [el[0] for el in tagnodes]]] |
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129 tagnodes[0][1] = firstlinenum |
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130 groupednodes = [[firstlinenum, []]] |
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131 prevlinenum = firstlinenum |
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132 for hexnode, linenum in tagnodes: |
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133 if linenum is not None and linenum - prevlinenum > 1: |
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134 groupednodes.append([linenum, []]) |
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135 groupednodes[-1][1].append(hexnode) |
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136 if linenum is not None: |
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137 prevlinenum = linenum |
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138 return groupednodes |
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139 |
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140 |
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141 def writemergedtags(fcd, mergedtags): |
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142 ''' |
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143 write the merged tags while trying to minimize the diff to the first parent |
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144 |
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145 This function uses the ordering info stored on the merged tags dict to |
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146 generate an .hgtags file which is correct (in the sense that its contents |
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147 correspond to the result of the tag merge) while also being as close as |
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148 possible to the first parent's .hgtags file. |
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149 ''' |
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150 # group the node-tag pairs that must be written next to each other |
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151 for tname, taglist in list(mergedtags.items()): |
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152 mergedtags[tname] = grouptagnodesbyline(taglist) |
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153 |
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154 # convert the grouped merged tags dict into a format that resembles the |
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155 # final .hgtags file (i.e. a list of blocks of 'node tag' pairs) |
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156 def taglist2string(tlist, tname): |
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157 return b'\n'.join([b'%s %s' % (hexnode, tname) for hexnode in tlist]) |
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158 |
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159 finaltags = [] |
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160 for tname, tags in mergedtags.items(): |
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161 for block in tags: |
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162 block[1] = taglist2string(block[1], tname) |
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163 finaltags += tags |
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164 |
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165 # the tag groups are linked to a "position" that can be used to sort them |
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166 # before writing them |
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167 # the position is calculated to ensure that the diff of the merged .hgtags |
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168 # file to the first parent's .hgtags file is as small as possible |
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169 finaltags.sort(key=lambda x: -1 if x[0] is None else x[0]) |
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170 |
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171 # finally we can join the sorted groups to get the final contents of the |
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172 # merged .hgtags file, and then write it to disk |
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173 mergedtagstring = b'\n'.join([tags for rank, tags in finaltags if tags]) |
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174 fcd.write(mergedtagstring + b'\n', fcd.flags()) |
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175 |
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176 |
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177 def singletagmerge(p1nodes, p2nodes): |
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178 ''' |
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179 merge the nodes corresponding to a single tag |
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180 |
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181 Note that the inputs are lists of node-linenum pairs (i.e. not just lists |
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182 of nodes) |
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183 ''' |
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184 if not p2nodes: |
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185 return p1nodes |
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186 if not p1nodes: |
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187 return p2nodes |
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188 |
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189 # there is no conflict unless both tags point to different revisions |
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190 # and have a non identical tag history |
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191 p1currentnode = p1nodes[-1][0] |
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192 p2currentnode = p2nodes[-1][0] |
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193 if p1currentnode != p2currentnode and len(p1nodes) == len(p2nodes): |
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194 # cannot merge two tags with same rank pointing to different nodes |
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195 return None |
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196 |
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197 # which are the highest ranking (hr) / lowest ranking (lr) nodes? |
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198 if len(p1nodes) >= len(p2nodes): |
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199 hrnodes, lrnodes = p1nodes, p2nodes |
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200 else: |
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201 hrnodes, lrnodes = p2nodes, p1nodes |
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202 |
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203 # the lowest ranking nodes will be written first, followed by the highest |
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204 # ranking nodes |
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205 # to avoid unwanted tag rank explosion we try to see if there are some |
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206 # common nodes that can be written only once |
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207 commonidx = len(lrnodes) |
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208 for n in range(len(lrnodes)): |
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209 if hrnodes[n][0] != lrnodes[n][0]: |
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210 commonidx = n |
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211 break |
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212 lrnodes[n][1] = p1nodes[n][1] |
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213 |
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214 # the merged node list has 3 parts: |
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215 # - common nodes |
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216 # - non common lowest ranking nodes |
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217 # - non common highest ranking nodes |
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218 # note that the common nodes plus the non common lowest ranking nodes is the |
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219 # whole list of lr nodes |
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220 return lrnodes + hrnodes[commonidx:] |
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221 |
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222 |
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223 def merge(repo, fcd, fco, fca): |
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224 ''' |
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225 Merge the tags of two revisions, taking into account the base tags |
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226 Try to minimize the diff between the merged tags and the first parent tags |
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227 ''' |
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228 ui = repo.ui |
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229 # read the p1, p2 and base tags |
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230 # only keep the line numbers for the p1 tags |
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231 p1tags = readtagsformerge( |
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232 ui, repo, fcd.data().splitlines(), fn=b"p1 tags", keeplinenums=True |
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233 ) |
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234 p2tags = readtagsformerge( |
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235 ui, repo, fco.data().splitlines(), fn=b"p2 tags", keeplinenums=False |
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236 ) |
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237 basetags = readtagsformerge( |
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238 ui, repo, fca.data().splitlines(), fn=b"base tags", keeplinenums=False |
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239 ) |
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240 |
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241 # recover the list of "lost tags" (i.e. those that were found on the base |
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242 # revision but not on one of the revisions being merged) |
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243 basetagset = set(basetags) |
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244 for n, pntags in enumerate((p1tags, p2tags)): |
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245 pntagset = set(pntags) |
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246 pnlosttagset = basetagset - pntagset |
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247 for t in pnlosttagset: |
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248 pntags[t] = basetags[t] |
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249 if pntags[t][-1][0] != hexnullid: |
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250 pntags[t].append([hexnullid, None]) |
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251 |
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252 conflictedtags = [] # for reporting purposes |
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253 mergedtags = util.sortdict(p1tags) |
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254 # sortdict does not implement iteritems() |
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255 for tname, p2nodes in p2tags.items(): |
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256 if tname not in mergedtags: |
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257 mergedtags[tname] = p2nodes |
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258 continue |
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259 p1nodes = mergedtags[tname] |
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260 mergednodes = singletagmerge(p1nodes, p2nodes) |
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261 if mergednodes is None: |
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262 conflictedtags.append(tname) |
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263 continue |
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264 mergedtags[tname] = mergednodes |
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265 |
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266 if conflictedtags: |
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267 numconflicts = len(conflictedtags) |
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268 ui.warn( |
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269 _( |
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270 b'automatic .hgtags merge failed\n' |
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271 b'the following %d tags are in conflict: %s\n' |
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272 ) |
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273 % (numconflicts, b', '.join(sorted(conflictedtags))) |
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274 ) |
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275 return True, 1 |
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276 |
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277 writemergedtags(fcd, mergedtags) |
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278 ui.note(_(b'.hgtags merged successfully\n')) |
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279 return False, 0 |