/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.lucene.analysis.compound;
import java.io.IOException;
import java.io.Reader;
import java.io.StringReader;
import java.util.Arrays;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.BaseTokenStreamTestCase;
import org.apache.lucene.analysis.CharArraySet;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.Tokenizer;
import org.apache.lucene.analysis.charfilter.MappingCharFilter;
import org.apache.lucene.analysis.charfilter.NormalizeCharMap;
import org.apache.lucene.analysis.compound.hyphenation.HyphenationTree;
import org.apache.lucene.analysis.core.KeywordTokenizer;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.util.Attribute;
import org.apache.lucene.util.AttributeImpl;
import org.apache.lucene.util.AttributeReflector;
import org.xml.sax.InputSource;
public class TestCompoundWordTokenFilter extends BaseTokenStreamTestCase {
private static CharArraySet makeDictionary(String... dictionary) {
return new CharArraySet(Arrays.asList(dictionary), true);
}
public void testHyphenationCompoundWordsDA() throws Exception {
CharArraySet dict = makeDictionary("læse", "hest");
InputSource is = new InputSource(getClass().getResource("da_UTF8.xml").toExternalForm());
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(is);
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(
whitespaceMockTokenizer("min veninde som er lidt af en læsehest"),
hyphenator,
dict, CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
assertTokenStreamContents(tf,
new String[] { "min", "veninde", "som", "er", "lidt", "af", "en", "læsehest", "læse", "hest" },
new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 0, 0 }
);
}
public void testHyphenationCompoundWordsDELongestMatch() throws Exception {
CharArraySet dict = makeDictionary("basketball", "basket", "ball", "kurv");
InputSource is = new InputSource(getClass().getResource("da_UTF8.xml").toExternalForm());
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(is);
// the word basket will not be added due to the longest match option
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(
whitespaceMockTokenizer("basketballkurv"),
hyphenator, dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE, 40, true);
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basketball", "ball", "kurv" },
new int[] { 1, 0, 0, 0 }
);
}
/**
* With hyphenation-only, you can get a lot of nonsense tokens.
* This can be controlled with the min/max subword size.
*/
public void testHyphenationOnly() throws Exception {
InputSource is = new InputSource(getClass().getResource("da_UTF8.xml").toExternalForm());
HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter
.getHyphenationTree(is);
HyphenationCompoundWordTokenFilter tf = new HyphenationCompoundWordTokenFilter(
whitespaceMockTokenizer("basketballkurv"),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
2, 4);
// min=2, max=4
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "ba", "sket", "bal", "ball", "kurv" }
);
tf = new HyphenationCompoundWordTokenFilter(
whitespaceMockTokenizer("basketballkurv"),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
4, 6);
// min=4, max=6
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basket", "sket", "ball", "lkurv", "kurv" }
);
tf = new HyphenationCompoundWordTokenFilter(
whitespaceMockTokenizer("basketballkurv"),
hyphenator,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
4, 10);
// min=4, max=10
assertTokenStreamContents(tf,
new String[] { "basketballkurv", "basket", "basketbal", "basketball", "sket",
"sketbal", "sketball", "ball", "ballkurv", "lkurv", "kurv" }
);
}
public void testDumbCompoundWordsSE() throws Exception {
CharArraySet dict = makeDictionary("Bil", "Dörr", "Motor", "Tak", "Borr", "Slag", "Hammar",
"Pelar", "Glas", "Ögon", "Fodral", "Bas", "Fiol", "Makare", "Gesäll",
"Sko", "Vind", "Rute", "Torkare", "Blad");
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(
whitespaceMockTokenizer(
"Bildörr Bilmotor Biltak Slagborr Hammarborr Pelarborr Glasögonfodral Basfiolsfodral Basfiolsfodralmakaregesäll Skomakare Vindrutetorkare Vindrutetorkarblad abba"),
dict);
assertTokenStreamContents(tf, new String[] { "Bildörr", "Bil", "dörr", "Bilmotor",
"Bil", "motor", "Biltak", "Bil", "tak", "Slagborr", "Slag", "borr",
"Hammarborr", "Hammar", "borr", "Pelarborr", "Pelar", "borr",
"Glasögonfodral", "Glas", "ögon", "fodral", "Basfiolsfodral", "Bas",
"fiol", "fodral", "Basfiolsfodralmakaregesäll", "Bas", "fiol",
"fodral", "makare", "gesäll", "Skomakare", "Sko", "makare",
"Vindrutetorkare", "Vind", "rute", "torkare", "Vindrutetorkarblad",
"Vind", "rute", "blad", "abba" }, new int[] { 0, 0, 0, 8, 8, 8, 17,
17, 17, 24, 24, 24, 33, 33, 33, 44, 44, 44, 54, 54, 54, 54, 69, 69, 69,
69, 84, 84, 84, 84, 84, 84, 111, 111, 111, 121, 121, 121, 121, 137,
137, 137, 137, 156 }, new int[] { 7, 7, 7, 16, 16, 16, 23, 23, 23, 32,
32, 32, 43, 43, 43, 53, 53, 53, 68, 68, 68, 68, 83, 83, 83, 83, 110,
110, 110, 110, 110, 110, 120, 120, 120, 136, 136, 136, 136, 155, 155, 155,
155, 160 }, new int[] { 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1,
0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1,
0, 0, 0, 1 });
}
public void testDumbCompoundWordsSELongestMatch() throws Exception {
CharArraySet dict = makeDictionary("Bil", "Dörr", "Motor", "Tak", "Borr", "Slag", "Hammar",
"Pelar", "Glas", "Ögon", "Fodral", "Bas", "Fiols", "Makare", "Gesäll",
"Sko", "Vind", "Rute", "Torkare", "Blad", "Fiolsfodral");
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(
whitespaceMockTokenizer("Basfiolsfodralmakaregesäll"),
dict, CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, true);
assertTokenStreamContents(tf, new String[] { "Basfiolsfodralmakaregesäll", "Bas",
"fiolsfodral", "fodral", "makare", "gesäll" }, new int[] { 0, 0, 0, 0,
0, 0 }, new int[] { 26, 26, 26, 26, 26, 26 }, new int[] { 1, 0, 0, 0,
0, 0 });
}
public void testTokenEndingWithWordComponentOfMinimumLength() throws Exception {
CharArraySet dict = makeDictionary("ab", "cd", "ef");
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
tokenizer.setReader(new StringReader("abcdef"));
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(
tokenizer,
dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
assertTokenStreamContents(tf,
new String[] { "abcdef", "ab", "cd", "ef" },
new int[] { 0, 0, 0, 0},
new int[] { 6, 6, 6, 6},
new int[] { 1, 0, 0, 0}
);
}
public void testWordComponentWithLessThanMinimumLength() throws Exception {
CharArraySet dict = makeDictionary("abc", "d", "efg");
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
tokenizer.setReader(new StringReader("abcdefg"));
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(
tokenizer,
dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
// since "d" is shorter than the minimum subword size, it should not be added to the token stream
assertTokenStreamContents(tf,
new String[] { "abcdefg", "abc", "efg" },
new int[] { 0, 0, 0},
new int[] { 7, 7, 7},
new int[] { 1, 0, 0}
);
}
public void testReset() throws Exception {
CharArraySet dict = makeDictionary("Rind", "Fleisch", "Draht", "Schere", "Gesetz",
"Aufgabe", "Überwachung");
MockTokenizer wsTokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
wsTokenizer.setEnableChecks(false); // we will reset in a strange place
wsTokenizer.setReader(new StringReader("Rindfleischüberwachungsgesetz"));
DictionaryCompoundWordTokenFilter tf = new DictionaryCompoundWordTokenFilter(
wsTokenizer, dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
CharTermAttribute termAtt = tf.getAttribute(CharTermAttribute.class);
tf.reset();
assertTrue(tf.incrementToken());
assertEquals("Rindfleischüberwachungsgesetz", termAtt.toString());
assertTrue(tf.incrementToken());
assertEquals("Rind", termAtt.toString());
tf.end();
tf.close();
wsTokenizer.setReader(new StringReader("Rindfleischüberwachungsgesetz"));
tf.reset();
assertTrue(tf.incrementToken());
assertEquals("Rindfleischüberwachungsgesetz", termAtt.toString());
}
public void testRetainMockAttribute() throws Exception {
CharArraySet dict = makeDictionary("abc", "d", "efg");
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
tokenizer.setReader(new StringReader("abcdefg"));
TokenStream stream = new MockRetainAttributeFilter(tokenizer);
stream = new DictionaryCompoundWordTokenFilter(
stream, dict,
CompoundWordTokenFilterBase.DEFAULT_MIN_WORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MIN_SUBWORD_SIZE,
CompoundWordTokenFilterBase.DEFAULT_MAX_SUBWORD_SIZE, false);
MockRetainAttribute retAtt = stream.addAttribute(MockRetainAttribute.class);
stream.reset();
while (stream.incrementToken()) {
assertTrue("Custom attribute value was lost", retAtt.getRetain());
}
}
public static interface MockRetainAttribute extends Attribute {
void setRetain(boolean attr);
boolean getRetain();
}
public static final class MockRetainAttributeImpl extends AttributeImpl implements MockRetainAttribute {
private boolean retain = false;
@Override
public void clear() {
retain = false;
}
@Override
public boolean getRetain() {
return retain;
}
@Override
public void setRetain(boolean retain) {
this.retain = retain;
}
@Override
public void copyTo(AttributeImpl target) {
MockRetainAttribute t = (MockRetainAttribute) target;
t.setRetain(retain);
}
@Override
public void reflectWith(AttributeReflector reflector) {
reflector.reflect(MockRetainAttribute.class, "retain", retain);
}
}
private static class MockRetainAttributeFilter extends TokenFilter {
MockRetainAttribute retainAtt = addAttribute(MockRetainAttribute.class);
MockRetainAttributeFilter(TokenStream input) {
super(input);
}
@Override
public boolean incrementToken() throws IOException {
if (input.incrementToken()){
retainAtt.setRetain(true);
return true;
} else {
return false;
}
}
}
// SOLR-2891
// *CompoundWordTokenFilter blindly adds term length to offset, but this can take things out of bounds
// wrt original text if a previous filter increases the length of the word (in this case ü -> ue)
// so in this case we behave like WDF, and preserve any modified offsets
public void testInvalidOffsets() throws Exception {
final CharArraySet dict = makeDictionary("fall");
final NormalizeCharMap.Builder builder = new NormalizeCharMap.Builder();
builder.add("ü", "ue");
final NormalizeCharMap normMap = builder.build();
Analyzer analyzer = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
TokenFilter filter = new DictionaryCompoundWordTokenFilter(tokenizer, dict);
return new TokenStreamComponents(tokenizer, filter);
}
@Override
protected Reader initReader(String fieldName, Reader reader) {
return new MappingCharFilter(normMap, reader);
}
};
assertAnalyzesTo(analyzer, "banküberfall",
new String[] { "bankueberfall", "fall" },
new int[] { 0, 0 },
new int[] { 12, 12 });
analyzer.close();
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
final CharArraySet dict = makeDictionary("a", "e", "i", "o", "u", "y", "bc", "def");
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
return new TokenStreamComponents(tokenizer, new DictionaryCompoundWordTokenFilter(tokenizer, dict));
}
};
checkRandomData(random(), a, 1000*RANDOM_MULTIPLIER);
a.close();
InputSource is = new InputSource(getClass().getResource("da_UTF8.xml").toExternalForm());
final HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter.getHyphenationTree(is);
Analyzer b = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new MockTokenizer(MockTokenizer.WHITESPACE, false);
TokenFilter filter = new HyphenationCompoundWordTokenFilter(tokenizer, hyphenator);
return new TokenStreamComponents(tokenizer, filter);
}
};
checkRandomData(random(), b, 1000*RANDOM_MULTIPLIER);
b.close();
}
public void testEmptyTerm() throws Exception {
final CharArraySet dict = makeDictionary("a", "e", "i", "o", "u", "y", "bc", "def");
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new KeywordTokenizer();
return new TokenStreamComponents(tokenizer, new DictionaryCompoundWordTokenFilter(tokenizer, dict));
}
};
checkOneTerm(a, "", "");
a.close();
InputSource is = new InputSource(getClass().getResource("da_UTF8.xml").toExternalForm());
final HyphenationTree hyphenator = HyphenationCompoundWordTokenFilter.getHyphenationTree(is);
Analyzer b = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName) {
Tokenizer tokenizer = new KeywordTokenizer();
TokenFilter filter = new HyphenationCompoundWordTokenFilter(tokenizer, hyphenator);
return new TokenStreamComponents(tokenizer, filter);
}
};
checkOneTerm(b, "", "");
b.close();
}
}