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annotate roundup/indexer.py @ 825:0779ea9f1f18

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More indexer work: - all String properties may now be indexed too. Currently there's a bit of "issue" specific code in the actual searching which needs to be addressed. In a nutshell: + pass 'indexme="yes"' as a String() property initialisation arg, eg: file = FileClass(db, "file", name=String(), type=String(), comment=String(indexme="yes")) + the comment will then be indexed and be searchable, with the results related back to the issue that the file is linked to - as a result of this work, the FileClass has a default MIME type that may be overridden in a subclass, or by the use of a "type" property as is done in the default templates. - the regeneration of the indexes (if necessary) is done once the schema is set up in the dbinit.
author Richard Jones <richard@users.sourceforge.net>
date Tue, 09 Jul 2002 03:02:53 +0000
parents 254b8d112eec
children 6d7a45c8464a
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1 #
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2 # This module is derived from the module described at:
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3 # http://gnosis.cx/publish/programming/charming_python_15.txt
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4 #
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5 # Author: David Mertz (mertz@gnosis.cx)
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6 # Thanks to: Pat Knight (p.knight@ktgroup.co.uk)
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7 # Gregory Popovitch (greg@gpy.com)
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8 #
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9 # The original module was released under this license, and remains under
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10 # it:
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11 #
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12 # This file is released to the public domain. I (dqm) would
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13 # appreciate it if you choose to keep derived works under terms
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14 # that promote freedom, but obviously am giving up any rights
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15 # to compel such.
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16 #
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17 #$Id: indexer.py,v 1.4 2002-07-09 03:02:52 richard Exp $
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18 '''
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19 This module provides an indexer class, RoundupIndexer, that stores text
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20 indices in a roundup instance. This class makes searching the content of
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21 messages and text files possible.
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22 '''
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23 import os, shutil, re, mimetypes, marshal, zlib, errno
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24
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25 class Indexer:
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26 ''' Indexes information from roundup's hyperdb to allow efficient
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27 searching.
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28 '''
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29 def __init__(self, db_path):
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30 indexdb_path = os.path.join(db_path, 'indexes')
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31 self.indexdb = os.path.join(indexdb_path, 'index.db')
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32 self.reindex = 0
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33 self.casesensitive = 0
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34 self.quiet = 9
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35
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36 # see if we need to reindex because of a change in code
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37 if (not os.path.exists(indexdb_path) or
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38 not os.path.exists(os.path.join(indexdb_path, 'version'))):
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39 # TODO: if the version file exists (in the future) we'll want to
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40 # check the value in it - for now the file itself is a flag
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41 if os.path.exists(indexdb_path):
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42 shutil.rmtree(indexdb_path)
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43 os.makedirs(indexdb_path)
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44 os.chmod(indexdb_path, 0775)
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45 open(os.path.join(indexdb_path, 'version'), 'w').write('1\n')
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46
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47 # we need to reindex
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48 self.reindex = 1
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49 else:
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50 self.reindex = 0
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51
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52 def should_reindex(self):
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53 '''Should we reindex?
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54 '''
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55 return self.reindex
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56
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57 def add_text(self, identifier, text, mime_type='text/plain'):
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58 ''' Add some text associated with the (classname, nodeid, property)
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59 identifier.
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60 '''
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61 # make sure the index is loaded
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62 self.load_index()
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63
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64 # Is file eligible for (re)indexing?
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65 if self.files.has_key(identifier):
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66 # Reindexing enabled, cleanup dicts
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67 if self.reindex:
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68 self.purge_entry(identifier, self.files, self.words)
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69 else:
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70 # DO NOT reindex this file
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71 if self.quiet < 5:
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72 print "Not reindexing", identifier
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73 return 0
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74
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75 # split into words
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76 words = self.splitter(text, mime_type)
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77
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78 # Find new file index, and assign it to identifier
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79 # (_TOP uses trick of negative to avoid conflict with file index)
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80 self.files['_TOP'] = (self.files['_TOP'][0]-1, None)
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81 file_index = abs(self.files['_TOP'][0])
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82 self.files[identifier] = (file_index, len(words))
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83 self.fileids[file_index] = identifier
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84
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85 # find the unique words
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86 filedict = {}
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87 for word in words:
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88 if filedict.has_key(word):
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89 filedict[word] = filedict[word]+1
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90 else:
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91 filedict[word] = 1
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92
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93 # now add to the totals
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94 for word in filedict.keys():
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95 # each word has a dict of {identifier: count}
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96 if self.words.has_key(word):
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97 entry = self.words[word]
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98 else:
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99 # new word
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100 entry = {}
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101 self.words[word] = entry
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102
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103 # make a reference to the file for this word
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104 entry[file_index] = filedict[word]
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105
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106 def splitter(self, text, ftype):
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107 ''' Split the contents of a text string into a list of 'words'
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108 '''
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109 if ftype == 'text/plain':
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110 words = self.text_splitter(text, self.casesensitive)
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111 else:
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112 return []
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113 return words
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114
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115 def text_splitter(self, text, casesensitive=0):
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116 """Split text/plain string into a list of words
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117 """
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118 # Let's adjust case if not case-sensitive
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119 if not casesensitive:
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120 text = text.upper()
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121
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122 # Split the raw text, losing anything longer than 25 characters
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123 # since that'll be gibberish (encoded text or somesuch) or shorter
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124 # than 3 characters since those short words appear all over the
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125 # place
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126 return re.findall(r'\b\w{2,25}\b', text)
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127
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128 def search(self, search_terms, klass, ignore={},
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129 dre=re.compile(r'([^\d]+)(\d+)')):
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130 ''' Display search results looking for [search, terms] associated
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131 with the hyperdb Class "klass". Ignore hits on {class: property}.
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132
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133 "dre" is a helper, not an argument.
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134 '''
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135 # do the index lookup
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136 hits = self.find(search_terms)
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137 if not hits:
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138 return {}
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139
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140 # this is specific to "issue" klass ... eugh
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141 designator_propname = {'msg': 'messages', 'file': 'files'}
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142
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143 # build a dictionary of nodes and their associated messages
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144 # and files
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145 nodeids = {}
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146 for classname, nodeid, property in hits.values():
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147 # skip this result if we don't care about this class/property
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148 if ignore.has_key((classname, property)):
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149 continue
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150
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151 # if it's a property on klass, it's easy
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152 if classname == klass.classname:
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153 if not nodeids.has_key(nodeid):
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154 nodeids[nodeid] = {}
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155 continue
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156
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157 # it's a linked class - find the klass entries that are
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158 # linked to it
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159 linkprop = designator_propname[classname]
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160 for resid in klass.find(**{linkprop: nodeid}):
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161 resid = str(resid)
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162 if not nodeids.has_key(id):
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163 nodeids[resid] = {}
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164
825
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165 # update the links for this klass nodeid
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166 node_dict = nodeids[resid]
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167 if not node_dict.has_key(linkprop):
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168 node_dict[linkprop] = [nodeid]
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169 elif node_dict.has_key(linkprop):
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170 node_dict[linkprop].append(nodeid)
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171 return nodeids
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172
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173 # we override this to ignore not 2 < word < 25 and also to fix a bug -
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174 # the (fail) case.
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175 def find(self, wordlist):
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176 ''' Locate files that match ALL the words in wordlist
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177 '''
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178 if not hasattr(self, 'words'):
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179 self.load_index()
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180 self.load_index(wordlist=wordlist)
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181 entries = {}
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182 hits = None
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183 for word in wordlist:
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184 if not 2 < len(word) < 25:
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185 # word outside the bounds of what we index - ignore
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186 continue
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187 if not self.casesensitive:
818
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188 word = word.upper()
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189 entry = self.words.get(word) # For each word, get index
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190 entries[word] = entry # of matching files
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191 if not entry: # Nothing for this one word (fail)
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192 return {}
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193 if hits is None:
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194 hits = {}
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195 for k in entry.keys():
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196 hits[k] = self.fileids[k]
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197 else:
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198 # Eliminate hits for every non-match
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199 for fileid in hits.keys():
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200 if not entry.has_key(fileid):
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201 del hits[fileid]
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202 if hits is None:
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203 return {}
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204 return hits
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205
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206 segments = "ABCDEFGHIJKLMNOPQRSTUVWXYZ#-!"
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207 def load_index(self, reload=0, wordlist=None):
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208 # Unless reload is indicated, do not load twice
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209 if self.index_loaded() and not reload:
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210 return 0
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211
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212 # Ok, now let's actually load it
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213 db = {'WORDS': {}, 'FILES': {'_TOP':(0,None)}, 'FILEIDS': {}}
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214
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215 # Identify the relevant word-dictionary segments
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216 if not wordlist:
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217 segments = self.segments
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218 else:
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219 segments = ['-','#']
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220 for word in wordlist:
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221 segments.append(word[0].upper())
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222
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223 # Load the segments
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224 for segment in segments:
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225 try:
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226 f = open(self.indexdb + segment, 'rb')
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227 except IOError, error:
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228 if error.errno != errno.ENOENT:
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diff changeset
229 raise
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230 else:
818
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diff changeset
231 pickle_str = zlib.decompress(f.read())
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232 f.close()
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233 dbslice = marshal.loads(pickle_str)
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234 if dbslice.get('WORDS'):
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235 # if it has some words, add them
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236 for word, entry in dbslice['WORDS'].items():
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237 db['WORDS'][word] = entry
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238 if dbslice.get('FILES'):
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239 # if it has some files, add them
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240 db['FILES'] = dbslice['FILES']
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241 if dbslice.get('FILEIDS'):
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diff changeset
242 # if it has fileids, add them
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243 db['FILEIDS'] = dbslice['FILEIDS']
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244
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diff changeset
245 self.words = db['WORDS']
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246 self.files = db['FILES']
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247 self.fileids = db['FILEIDS']
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248
818
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249 def save_index(self):
825
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250 # make sure we're loaded
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251 self.load_index()
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252
818
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253 # brutal space saver... delete all the small segments
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diff changeset
254 for segment in self.segments:
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255 try:
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diff changeset
256 os.remove(self.indexdb + segment)
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diff changeset
257 except OSError:
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diff changeset
258 # probably just nonexistent segment index file
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diff changeset
259 # TODO: make sure it's an EEXIST
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260 pass
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261
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diff changeset
262 # First write the much simpler filename/fileid dictionaries
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diff changeset
263 dbfil = {'WORDS':None, 'FILES':self.files, 'FILEIDS':self.fileids}
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diff changeset
264 open(self.indexdb+'-','wb').write(zlib.compress(marshal.dumps(dbfil)))
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diff changeset
265
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diff changeset
266 # The hard part is splitting the word dictionary up, of course
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diff changeset
267 letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ#"
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diff changeset
268 segdicts = {} # Need batch of empty dicts
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diff changeset
269 for segment in letters:
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diff changeset
270 segdicts[segment] = {}
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271 for word, entry in self.words.items(): # Split into segment dicts
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272 initchar = word[0].upper()
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273 segdicts[initchar][word] = entry
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274
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diff changeset
275 # save
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diff changeset
276 for initchar in letters:
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diff changeset
277 db = {'WORDS':segdicts[initchar], 'FILES':None, 'FILEIDS':None}
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diff changeset
278 pickle_str = marshal.dumps(db)
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diff changeset
279 filename = self.indexdb + initchar
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diff changeset
280 pickle_fh = open(filename, 'wb')
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diff changeset
281 pickle_fh.write(zlib.compress(pickle_str))
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diff changeset
282 os.chmod(filename, 0664)
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diff changeset
283
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diff changeset
284 def purge_entry(self, fname, file_dct, word_dct):
818
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diff changeset
285 ''' Remove a file from file index and word index
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diff changeset
286 '''
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diff changeset
287 try: # The easy part, cleanup the file index
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diff changeset
288 file_index = file_dct[fname]
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parents:
diff changeset
289 del file_dct[fname]
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diff changeset
290 except KeyError:
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parents:
diff changeset
291 pass # We'll assume we only encounter KeyError's
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diff changeset
292 # The much harder part, cleanup the word index
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diff changeset
293 for word, occurs in word_dct.items():
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parents:
diff changeset
294 if occurs.has_key(file_index):
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diff changeset
295 del occurs[file_index]
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296 word_dct[word] = occurs
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297
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298 def index_loaded(self):
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299 return (hasattr(self,'fileids') and hasattr(self,'files') and
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300 hasattr(self,'words'))
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301
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302 #
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303 #$Log: not supported by cvs2svn $
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304 #Revision 1.3 2002/07/08 06:58:15 richard
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305 #cleaned up the indexer code:
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306 # - it splits more words out (much simpler, faster splitter)
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307 # - removed code we'll never use (roundup.roundup_indexer has the full
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308 # implementation, and replaces roundup.indexer)
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309 # - only index text/plain and rfc822/message (ideas for other text formats to
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310 # index are welcome)
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311 # - added simple unit test for indexer. Needs more tests for regression.
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312 #
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313 #Revision 1.2 2002/05/25 07:16:24 rochecompaan
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314 #Merged search_indexing-branch with HEAD
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315 #
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316 #Revision 1.1.2.3 2002/05/02 11:52:12 rochecompaan
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317 #Fixed small bug that prevented indexes from being generated.
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318 #
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319 #Revision 1.1.2.2 2002/04/19 19:54:42 rochecompaan
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320 #cgi_client.py
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321 # removed search link for the time being
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322 # moved rendering of matches to htmltemplate
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323 #hyperdb.py
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324 # filtering of nodes on full text search incorporated in filter method
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325 #roundupdb.py
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326 # added paramater to call of filter method
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327 #roundup_indexer.py
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328 # added search method to RoundupIndexer class
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329 #
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330 #Revision 1.1.2.1 2002/04/03 11:55:57 rochecompaan
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331 # . Added feature #526730 - search for messages capability
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332 #
Roundup Issue Tracker: http://roundup-tracker.org/