package org.apache.lucene.search.payloads;
/**
* Copyright 2004 The Apache Software Foundation
*
* 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.
*/
import junit.framework.TestCase;
import org.apache.lucene.analysis.*;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.Payload;
import org.apache.lucene.index.Term;
import org.apache.lucene.search.*;
import org.apache.lucene.search.spans.Spans;
import org.apache.lucene.search.spans.TermSpans;
import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.util.English;
import java.io.IOException;
import java.io.Reader;
public class TestBoostingTermQuery extends TestCase {
private IndexSearcher searcher;
private BoostingSimilarity similarity = new BoostingSimilarity();
private byte[] payloadField = new byte[]{1};
private byte[] payloadMultiField1 = new byte[]{2};
private byte[] payloadMultiField2 = new byte[]{4};
public TestBoostingTermQuery(String s) {
super(s);
}
private class PayloadAnalyzer extends Analyzer {
public TokenStream tokenStream(String fieldName, Reader reader) {
TokenStream result = new LowerCaseTokenizer(reader);
result = new PayloadFilter(result, fieldName);
return result;
}
}
private class PayloadFilter extends TokenFilter {
String fieldName;
int numSeen = 0;
public PayloadFilter(TokenStream input, String fieldName) {
super(input);
this.fieldName = fieldName;
}
public Token next() throws IOException {
Token result = input.next();
if (result != null) {
if (fieldName.equals("field"))
{
result.setPayload(new Payload(payloadField));
}
else if (fieldName.equals("multiField"))
{
if (numSeen % 2 == 0)
{
result.setPayload(new Payload(payloadMultiField1));
}
else
{
result.setPayload(new Payload(payloadMultiField2));
}
numSeen++;
}
}
return result;
}
}
protected void setUp() throws IOException {
RAMDirectory directory = new RAMDirectory();
PayloadAnalyzer analyzer = new PayloadAnalyzer();
IndexWriter writer
= new IndexWriter(directory, analyzer, true);
writer.setSimilarity(similarity);
//writer.infoStream = System.out;
for (int i = 0; i < 1000; i++) {
Document doc = new Document();
doc.add(new Field("field", English.intToEnglish(i), Field.Store.YES, Field.Index.TOKENIZED));
doc.add(new Field("multiField", English.intToEnglish(i) + " " + English.intToEnglish(i), Field.Store.YES, Field.Index.TOKENIZED));
writer.addDocument(doc);
}
//writer.optimize();
writer.close();
searcher = new IndexSearcher(directory);
searcher.setSimilarity(similarity);
}
protected void tearDown() {
}
public void test() throws IOException {
BoostingTermQuery query = new BoostingTermQuery(new Term("field", "seventy"));
TopDocs hits = searcher.search(query, null, 100);
assertTrue("hits is null and it shouldn't be", hits != null);
assertTrue("hits Size: " + hits.totalHits + " is not: " + 100, hits.totalHits == 100);
//they should all have the exact same score, because they all contain seventy once, and we set
//all the other similarity factors to be 1
assertTrue(hits.getMaxScore() + " does not equal: " + 1, hits.getMaxScore() == 1);
for (int i = 0; i < hits.scoreDocs.length; i++) {
ScoreDoc doc = hits.scoreDocs[i];
assertTrue(doc.score + " does not equal: " + 1, doc.score == 1);
}
CheckHits.checkExplanations(query, "field", searcher, true);
Spans spans = query.getSpans(searcher.getIndexReader());
assertTrue("spans is null and it shouldn't be", spans != null);
assertTrue("spans is not an instanceof " + TermSpans.class, spans instanceof TermSpans);
/*float score = hits.score(0);
for (int i =1; i < hits.length(); i++)
{
assertTrue("scores are not equal and they should be", score == hits.score(i));
}*/
}
public void testMultipleMatchesPerDoc() throws Exception {
BoostingTermQuery query = new BoostingTermQuery(new Term("multiField", "seventy"));
TopDocs hits = searcher.search(query, null, 100);
assertTrue("hits is null and it shouldn't be", hits != null);
assertTrue("hits Size: " + hits.totalHits + " is not: " + 100, hits.totalHits == 100);
//they should all have the exact same score, because they all contain seventy once, and we set
//all the other similarity factors to be 1
//System.out.println("Hash: " + seventyHash + " Twice Hash: " + 2*seventyHash);
assertTrue(hits.getMaxScore() + " does not equal: " + 3, hits.getMaxScore() == 3);
//there should be exactly 10 items that score a 3, all the rest should score a 2
//The 10 items are: 70 + i*100 where i in [0-9]
int numTens = 0;
for (int i = 0; i < hits.scoreDocs.length; i++) {
ScoreDoc doc = hits.scoreDocs[i];
if (doc.doc % 10 == 0)
{
numTens++;
assertTrue(doc.score + " does not equal: " + 3, doc.score == 3);
}
else
{
assertTrue(doc.score + " does not equal: " + 2, doc.score == 2);
}
}
assertTrue(numTens + " does not equal: " + 10, numTens == 10);
CheckHits.checkExplanations(query, "field", searcher, true);
Spans spans = query.getSpans(searcher.getIndexReader());
assertTrue("spans is null and it shouldn't be", spans != null);
assertTrue("spans is not an instanceof " + TermSpans.class, spans instanceof TermSpans);
//should be two matches per document
int count = 0;
//100 hits times 2 matches per hit, we should have 200 in count
while (spans.next())
{
count++;
}
assertTrue(count + " does not equal: " + 200, count == 200);
}
public void testNoMatch() throws Exception {
BoostingTermQuery query = new BoostingTermQuery(new Term("field", "junk"));
TopDocs hits = searcher.search(query, null, 100);
assertTrue("hits is null and it shouldn't be", hits != null);
assertTrue("hits Size: " + hits.totalHits + " is not: " + 0, hits.totalHits == 0);
}
class BoostingSimilarity extends DefaultSimilarity
{
// TODO: Remove warning after API has been finalized
public float scorePayload(byte[] payload, int offset, int length) {
//we know it is size 4 here, so ignore the offset/length
return payload[0];
}
//!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
//Make everything else 1 so we see the effect of the payload
//!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
public float lengthNorm(String fieldName, int numTerms) {
return 1;
}
public float queryNorm(float sumOfSquaredWeights) {
return 1;
}
public float sloppyFreq(int distance) {
return 1;
}
public float coord(int overlap, int maxOverlap) {
return 1;
}
public float idf(int docFreq, int numDocs) {
return 1;
}
public float tf(float freq) {
return 1;
}
}
} |
