
git-svn-id: svn://svn.cy55.de/Zope3/src/loops/trunk@2174 fd906abe-77d9-0310-91a1-e0d9ade77398
84 lines
2.4 KiB
Python
84 lines
2.4 KiB
Python
#
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# Copyright (c) 2007 Helmut Merz helmutm@cy55.de
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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#
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"""
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Standard implementations of classifier components.
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$Id$
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"""
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import os
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import re
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from zope.cachedescriptors.property import Lazy
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from zope.component import adapts
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from zope.traversing.api import getName
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from loops.classifier.base import Analyzer, Extractor
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from loops.classifier.base import InformationSet
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from loops.classifier.base import Statement
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from loops.interfaces import IExternalFile
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class FilenameExtractor(Extractor):
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adapts(IExternalFile)
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def __init__(self, context):
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self.context = context
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def extractInformationSet(self):
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filename, ext = os.path.splitext(self.context.externalAddress)
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return InformationSet(filename=filename)
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class PathExtractor(Extractor):
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adapts(IExternalFile)
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def __init__(self, context):
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self.context = context
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def extractInformationSet(self):
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params = self.context.storageParams
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if 'subdir' in params:
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return InformationSet(path=params['subdir'])
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else:
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return InformationSet()
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class WordBasedAnalyzer(Analyzer):
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stopWords = [u'and', u'und']
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def extractStatements(self, informationSet):
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result = []
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for key, value in informationSet.items():
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words = self.split(value)
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for w in words:
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if w in self.stopWords:
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continue
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if len(w) > 1:
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result.extend([Statement(c) for c in self.findConcepts(w)])
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return result
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wordPattern = '\\'.join(list(' .,+*%&-!?/:_[](){}'))
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def split(self, text):
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return re.split('[%s]+' % self.wordPattern, text)
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#return re.split(r'[\W_]+', text)
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