/*
* 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.tika.eval;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;
import java.util.HashSet;
import java.util.Set;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.tika.eval.tokens.AlphaIdeographFilterFactory;
import org.apache.tika.eval.tokens.AnalyzerManager;
import org.junit.Test;
public class AnalyzerManagerTest {
@Test
public void testGeneral() throws Exception {
AnalyzerManager analyzerManager = AnalyzerManager.newInstance(100000);
Analyzer general = analyzerManager.getGeneralAnalyzer();
TokenStream ts = general.tokenStream("f", "tHe quick aaaa aaa anD dirty dog");
ts.reset();
CharTermAttribute termAtt = ts.getAttribute(CharTermAttribute.class);
Set<String> seen = new HashSet<>();
while (ts.incrementToken()) {
seen.add(termAtt.toString());
}
ts.end();
ts.close();
assertTrue(seen.contains("the"));
assertTrue(seen.contains("and"));
assertTrue(seen.contains("dog"));
}
@Test
public void testCommon() throws Exception {
AnalyzerManager analyzerManager = AnalyzerManager.newInstance(100000);
Analyzer common = analyzerManager.getCommonTokensAnalyzer();
TokenStream ts = common.tokenStream("f", "the 5,000.12 and dirty dog");
ts.reset();
CharTermAttribute termAtt = ts.getAttribute(CharTermAttribute.class);
Set<String> seen = new HashSet<>();
while (ts.incrementToken()) {
String t = termAtt.toString();
if (AlphaIdeographFilterFactory.isAlphabetic(t.toCharArray()) && t.contains("5")) {
fail("Shouldn't have found a numeric");
}
seen.add(termAtt.toString());
}
ts.end();
ts.close();
assertTrue(seen.contains("dirty"));
assertFalse(seen.contains("the"));
}
@Test
public void testTokenCountFilter() throws Exception {
AnalyzerManager analyzerManager = AnalyzerManager.newInstance(1000000);
StringBuilder sb = new StringBuilder();
for (int i = 0; i < 1001000; i++) {
sb.append("the ");
}
TokenStream ts = analyzerManager.getGeneralAnalyzer().tokenStream("f", sb.toString());
ts.reset();
CharTermAttribute termAtt = ts.getAttribute(CharTermAttribute.class);
int tokens = 0;
while (ts.incrementToken()) {
tokens++;
}
assertEquals(1000000, tokens);
}
}