/*
* 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.miscellaneous;
import org.apache.lucene.analysis.*;
import org.apache.lucene.analysis.Analyzer.TokenStreamComponents;
import org.apache.lucene.analysis.core.KeywordTokenizer;
import org.apache.lucene.analysis.core.StopFilter;
import org.apache.lucene.analysis.cz.CzechStemFilter;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.analysis.tokenattributes.PositionIncrementAttribute;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.analysis.util.CharArraySet;
import org.junit.Test;
import java.io.IOException;
import java.io.Reader;
import java.io.StringReader;
import java.util.*;
import static org.apache.lucene.analysis.miscellaneous.WordDelimiterFilter.*;
import static org.apache.lucene.analysis.miscellaneous.WordDelimiterIterator.DEFAULT_WORD_DELIM_TABLE;
/**
* New WordDelimiterFilter tests... most of the tests are in ConvertedLegacyTest
* TODO: should explicitly test things like protWords and not rely on
* the factory tests in Solr.
*/
public class TestWordDelimiterFilter extends BaseTokenStreamTestCase {
/***
public void testPerformance() throws IOException {
String s = "now is the time-for all good men to come to-the aid of their country.";
Token tok = new Token();
long start = System.currentTimeMillis();
int ret=0;
for (int i=0; i<1000000; i++) {
StringReader r = new StringReader(s);
TokenStream ts = new WhitespaceTokenizer(r);
ts = new WordDelimiterFilter(ts, 1,1,1,1,0);
while (ts.next(tok) != null) ret++;
}
System.out.println("ret="+ret+" time="+(System.currentTimeMillis()-start));
}
***/
@Test
public void testOffsets() throws IOException {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
// test that subwords and catenated subwords have
// the correct offsets.
WordDelimiterFilter wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("foo-bar", 5, 12)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "foo", "bar", "foobar" },
new int[] { 5, 9, 5 },
new int[] { 8, 12, 12 },
null, null, null, null, false);
wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("foo-bar", 5, 6)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "foo", "bar", "foobar" },
new int[] { 5, 5, 5 },
new int[] { 6, 6, 6 },
null, null, null, null, false);
}
@Test
public void testOffsetChange() throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
WordDelimiterFilter wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("übelkeit)", 7, 16)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "übelkeit" },
new int[] { 7 },
new int[] { 15 });
}
@Test
public void testOffsetChange2() throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
WordDelimiterFilter wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("(übelkeit", 7, 17)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "übelkeit" },
new int[] { 8 },
new int[] { 17 });
}
@Test
public void testOffsetChange3() throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
WordDelimiterFilter wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("(übelkeit", 7, 16)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "übelkeit" },
new int[] { 8 },
new int[] { 16 });
}
@Test
public void testOffsetChange4() throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
WordDelimiterFilter wdf = new WordDelimiterFilter(new SingleTokenTokenStream(new Token("(foo,bar)", 7, 16)), DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf,
new String[] { "foo", "bar", "foobar"},
new int[] { 8, 12, 8 },
new int[] { 11, 15, 15 },
null, null, null, null, false);
}
public void doSplit(final String input, String... output) throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
WordDelimiterFilter wdf = new WordDelimiterFilter(new MockTokenizer(
new StringReader(input), MockTokenizer.KEYWORD, false), WordDelimiterIterator.DEFAULT_WORD_DELIM_TABLE, flags, null);
assertTokenStreamContents(wdf, output);
}
@Test
public void testSplits() throws Exception {
doSplit("basic-split","basic","split");
doSplit("camelCase","camel","Case");
// non-space marking symbol shouldn't cause split
// this is an example in Thai
doSplit("\u0e1a\u0e49\u0e32\u0e19","\u0e1a\u0e49\u0e32\u0e19");
// possessive followed by delimiter
doSplit("test's'", "test");
// some russian upper and lowercase
doSplit("Роберт", "Роберт");
// now cause a split (russian camelCase)
doSplit("РобЕрт", "Роб", "Ерт");
// a composed titlecase character, don't split
doSplit("aDžungla", "aDžungla");
// a modifier letter, don't split
doSplit("ســـــــــــــــــلام", "ســـــــــــــــــلام");
// enclosing mark, don't split
doSplit("test⃝", "test⃝");
// combining spacing mark (the virama), don't split
doSplit("हिन्दी", "हिन्दी");
// don't split non-ascii digits
doSplit("١٢٣٤", "١٢٣٤");
// don't split supplementaries into unpaired surrogates
doSplit("𠀀𠀀", "𠀀𠀀");
}
public void doSplitPossessive(int stemPossessive, final String input, final String... output) throws Exception {
int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS;
flags |= (stemPossessive == 1) ? STEM_ENGLISH_POSSESSIVE : 0;
WordDelimiterFilter wdf = new WordDelimiterFilter(new MockTokenizer(
new StringReader(input), MockTokenizer.KEYWORD, false), flags, null);
assertTokenStreamContents(wdf, output);
}
/*
* Test option that allows disabling the special "'s" stemming, instead treating the single quote like other delimiters.
*/
@Test
public void testPossessives() throws Exception {
doSplitPossessive(1, "ra's", "ra");
doSplitPossessive(0, "ra's", "ra", "s");
}
/*
* Set a large position increment gap of 10 if the token is "largegap" or "/"
*/
private final class LargePosIncTokenFilter extends TokenFilter {
private CharTermAttribute termAtt = addAttribute(CharTermAttribute.class);
private PositionIncrementAttribute posIncAtt = addAttribute(PositionIncrementAttribute.class);
protected LargePosIncTokenFilter(TokenStream input) {
super(input);
}
@Override
public boolean incrementToken() throws IOException {
if (input.incrementToken()) {
if (termAtt.toString().equals("largegap") || termAtt.toString().equals("/"))
posIncAtt.setPositionIncrement(10);
return true;
} else {
return false;
}
}
}
@Test
public void testPositionIncrements() throws Exception {
final int flags = GENERATE_WORD_PARTS | GENERATE_NUMBER_PARTS | CATENATE_ALL | SPLIT_ON_CASE_CHANGE | SPLIT_ON_NUMERICS | STEM_ENGLISH_POSSESSIVE;
final CharArraySet protWords = new CharArraySet(TEST_VERSION_CURRENT, new HashSet<String>(Arrays.asList("NUTCH")), false);
/* analyzer that uses whitespace + wdf */
Analyzer a = new Analyzer() {
@Override
public TokenStreamComponents createComponents(String field, Reader reader) {
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
return new TokenStreamComponents(tokenizer, new WordDelimiterFilter(
tokenizer,
flags, protWords));
}
};
/* in this case, works as expected. */
assertAnalyzesTo(a, "LUCENE / SOLR", new String[] { "LUCENE", "SOLR" },
new int[] { 0, 9 },
new int[] { 6, 13 },
null,
new int[] { 1, 1 },
null,
false);
/* only in this case, posInc of 2 ?! */
assertAnalyzesTo(a, "LUCENE / solR", new String[] { "LUCENE", "sol", "R", "solR" },
new int[] { 0, 9, 12, 9 },
new int[] { 6, 12, 13, 13 },
null,
new int[] { 1, 1, 1, 0 },
null,
false);
assertAnalyzesTo(a, "LUCENE / NUTCH SOLR", new String[] { "LUCENE", "NUTCH", "SOLR" },
new int[] { 0, 9, 15 },
new int[] { 6, 14, 19 },
null,
new int[] { 1, 1, 1 },
null,
false);
/* analyzer that will consume tokens with large position increments */
Analyzer a2 = new Analyzer() {
@Override
public TokenStreamComponents createComponents(String field, Reader reader) {
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
return new TokenStreamComponents(tokenizer, new WordDelimiterFilter(
new LargePosIncTokenFilter(tokenizer),
flags, protWords));
}
};
/* increment of "largegap" is preserved */
assertAnalyzesTo(a2, "LUCENE largegap SOLR", new String[] { "LUCENE", "largegap", "SOLR" },
new int[] { 0, 7, 16 },
new int[] { 6, 15, 20 },
null,
new int[] { 1, 10, 1 },
null,
false);
/* the "/" had a position increment of 10, where did it go?!?!! */
assertAnalyzesTo(a2, "LUCENE / SOLR", new String[] { "LUCENE", "SOLR" },
new int[] { 0, 9 },
new int[] { 6, 13 },
null,
new int[] { 1, 11 },
null,
false);
/* in this case, the increment of 10 from the "/" is carried over */
assertAnalyzesTo(a2, "LUCENE / solR", new String[] { "LUCENE", "sol", "R", "solR" },
new int[] { 0, 9, 12, 9 },
new int[] { 6, 12, 13, 13 },
null,
new int[] { 1, 11, 1, 0 },
null,
false);
assertAnalyzesTo(a2, "LUCENE / NUTCH SOLR", new String[] { "LUCENE", "NUTCH", "SOLR" },
new int[] { 0, 9, 15 },
new int[] { 6, 14, 19 },
null,
new int[] { 1, 11, 1 },
null,
false);
Analyzer a3 = new Analyzer() {
@Override
public TokenStreamComponents createComponents(String field, Reader reader) {
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
StopFilter filter = new StopFilter(TEST_VERSION_CURRENT,
tokenizer, StandardAnalyzer.STOP_WORDS_SET);
return new TokenStreamComponents(tokenizer, new WordDelimiterFilter(filter, flags, protWords));
}
};
assertAnalyzesTo(a3, "lucene.solr",
new String[] { "lucene", "solr", "lucenesolr" },
new int[] { 0, 7, 0 },
new int[] { 6, 11, 11 },
null,
new int[] { 1, 1, 0 },
null,
false);
/* the stopword should add a gap here */
assertAnalyzesTo(a3, "the lucene.solr",
new String[] { "lucene", "solr", "lucenesolr" },
new int[] { 4, 11, 4 },
new int[] { 10, 15, 15 },
null,
new int[] { 2, 1, 0 },
null,
false);
}
/** blast some random strings through the analyzer */
public void testRandomStrings() throws Exception {
int numIterations = atLeast(5);
for (int i = 0; i < numIterations; i++) {
final int flags = random().nextInt(512);
final CharArraySet protectedWords;
if (random().nextBoolean()) {
protectedWords = new CharArraySet(TEST_VERSION_CURRENT, new HashSet<String>(Arrays.asList("a", "b", "cd")), false);
} else {
protectedWords = null;
}
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer tokenizer = new MockTokenizer(reader, MockTokenizer.WHITESPACE, false);
return new TokenStreamComponents(tokenizer, new WordDelimiterFilter(tokenizer, flags, protectedWords));
}
};
checkRandomData(random(), a, 200, 20, false, false);
}
}
public void testEmptyTerm() throws IOException {
Random random = random();
for (int i = 0; i < 512; i++) {
final int flags = i;
final CharArraySet protectedWords;
if (random.nextBoolean()) {
protectedWords = new CharArraySet(TEST_VERSION_CURRENT, new HashSet<String>(Arrays.asList("a", "b", "cd")), false);
} else {
protectedWords = null;
}
Analyzer a = new Analyzer() {
@Override
protected TokenStreamComponents createComponents(String fieldName, Reader reader) {
Tokenizer tokenizer = new KeywordTokenizer(reader);
return new TokenStreamComponents(tokenizer, new WordDelimiterFilter(tokenizer, flags, protectedWords));
}
};
// depending upon options, this thing may or may not preserve the empty term
checkAnalysisConsistency(random, a, random.nextBoolean(), "");
}
}
}