/*
* Copyright 2011 Stefan Partusch
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package de.spartusch.nasfvi.server;
import java.io.File;
import java.io.IOException;
import java.io.Reader;
import java.util.Set;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.KeywordTokenizer;
import org.apache.lucene.analysis.LowerCaseFilter;
import org.apache.lucene.analysis.StopFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.compound.DictionaryCompoundWordTokenFilter;
import org.apache.lucene.analysis.snowball.SnowballFilter;
import org.apache.lucene.analysis.standard.StandardFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import org.apache.lucene.util.Version;
import de.spartusch.Resources;
import de.spartusch.StringMethods;
/**
* Analyzes content as a natural language text, a simple text or as a single
* token according to field names.
* @author Stefan Partusch
*
*/
public class NAnalyzer extends Analyzer {
/** Names of fields that are analyzed as natural language texts. */
private static final String[] NATURAL_TEXT_FIELDS
= new String[] {"titel", "beschreibung", "typ"};
/** List of stop words. */
private Set<String> stopWords;
/** List of words for compounds. */
private Set<String> compounds;
/**
* Creates a new NAnalyzer.
* @param res Resources to use to locate stop words and compounds
*/
public NAnalyzer(final Resources res) {
try {
File swFile =
res.getFile("nasfvi.StopWords", "/WEB-INF/stopwords.txt");
if (swFile == null) {
throw new IllegalArgumentException("Stop words not found");
}
File cFile =
res.getFile("nasfvi.Compounds", "/WEB-INF/komposita.txt");
if (cFile == null) {
throw new IllegalArgumentException("Compounds not found");
}
stopWords = Resources.getWordlist(swFile, "UTF-8");
compounds = Resources.getWordlist(cFile, "UTF-8");
} catch (IOException e) {
throw new RuntimeException(e);
}
}
/**
* Analyzes the input as a text with natural language. In this
* implementation natural language refers to German only.
* @param reader Input to analyze
* @return Analyzed and processed tokens from <code>reader</code>
*/
private TokenStream naturalText(final Reader reader) {
TokenStream result = new StandardTokenizer(Version.LUCENE_35, reader);
result = new StandardFilter(Version.LUCENE_35, result);
result = new LowerCaseFilter(Version.LUCENE_35, result);
result = new StopFilter(Version.LUCENE_35, result, stopWords);
result = new DictionaryCompoundWordTokenFilter(Version.LUCENE_35, result, compounds);
result = new SnowballFilter(result, "German2");
return result;
}
/**
* Returns the content of the input as a single token.
* @param reader Input to analyze
* @return Content of <code>reader</code> as a single token
*/
private TokenStream singleToken(final Reader reader) {
return new KeywordTokenizer(reader);
}
/**
* Analyzes the input as a simple text. In this implementation this
* includes stemming.
* @param reader Input to analyze
* @return Analyzed and processed tokens from <code>reader</code>
*/
private TokenStream simpleText(final Reader reader) {
TokenStream result = new StandardTokenizer(Version.LUCENE_35, reader);
result = new StandardFilter(Version.LUCENE_35, result);
result = new LowerCaseFilter(Version.LUCENE_35, result);
result = new StopFilter(Version.LUCENE_35, result, stopWords);
result = new SnowballFilter(result, "German2");
return result;
}
@Override
public final int getPositionIncrementGap(final String fieldName) {
return 100;
}
@Override
public final TokenStream tokenStream(final String fieldName,
final Reader reader) {
if (StringMethods.equalsOneOf(fieldName, NATURAL_TEXT_FIELDS)) {
return naturalText(reader);
} else if ("semester".equals(fieldName)) {
return singleToken(reader);
} else {
return simpleText(reader);
}
}
}