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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.prelude.querytransform.test;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import com.yahoo.language.Linguistics;
import com.yahoo.language.simple.SimpleLinguistics;
import com.yahoo.prelude.Index;
import com.yahoo.prelude.SearchDefinition;
import com.yahoo.prelude.query.PhraseSegmentItem;
import com.yahoo.prelude.query.Substring;
import com.yahoo.prelude.query.WordAlternativesItem;
import com.yahoo.prelude.query.WordItem;
import com.yahoo.search.Query;
import com.yahoo.prelude.IndexFacts;
import com.yahoo.prelude.IndexModel;
import com.yahoo.prelude.querytransform.NormalizingSearcher;
import com.yahoo.search.searchchain.Execution;
import org.junit.jupiter.api.Test;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.Collection;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
/**
* @author bratseth
*/
public class NormalizingSearcherTestCase {
private static final Linguistics linguistics = new SimpleLinguistics();
@Test
void testNoNormalizingNecssary() {
Query query = new Query("/search?query=bilen&search=cluster1&restrict=type1");
createExecution().search(query);
assertEquals("WEAKAND(100) bilen", query.getModel().getQueryTree().getRoot().toString());
}
@Test
void testAttributeQuery() {
Query query = new Query("/search?query=attribute:" + enc("b\u00e9yonc\u00e8 b\u00e9yonc\u00e8") + "&search=cluster1&restrict=type1");
createExecution().search(query);
assertEquals("WEAKAND(100) attribute:b\u00e9yonc\u00e8 beyonce", query.getModel().getQueryTree().getRoot().toString());
}
@Test
void testOneTermNormalizing() {
Query query = new Query("/search?query=b\u00e9yonc\u00e8&search=cluster1&restrict=type1");
createExecution().search(query);
assertEquals("WEAKAND(100) beyonce", query.getModel().getQueryTree().getRoot().toString());
}
@Test
void testOneTermNoNormalizingDifferentSearchDef() {
Query query = new Query("/search?query=b\u00e9yonc\u00e8&search=cluster1&restrict=type2");
createExecution().search(query);
assertEquals("WEAKAND(100) béyoncè", query.getModel().getQueryTree().getRoot().toString());
}
@Test
void testTwoTermQuery() throws UnsupportedEncodingException {
Query query = new Query("/search?query=" + enc("b\u00e9yonc\u00e8 beyonc\u00e9") + "&search=cluster1&restrict=type1");
createExecution().search(query);
assertEquals("WEAKAND(100) beyonce beyonce", query.getModel().getQueryTree().getRoot().toString());
}
private String enc(String s) {
return URLEncoder.encode(s, StandardCharsets.UTF_8);
}
@Test
void testPhraseQuery() {
Query query = new Query("/search?query=" + enc("\"b\u00e9yonc\u00e8 beyonc\u00e9\"") + "&search=cluster1&restrict=type1");
query.getTrace().setLevel(2);
createExecution().search(query);
assertEquals("WEAKAND(100) \"beyonce beyonce\"", query.getModel().getQueryTree().getRoot().toString());
}
@Test
void testLiteralBoost() {
Query query = new Query("/search?query=nop&search=cluster1&restrict=type1");
List<WordAlternativesItem.Alternative> terms = new ArrayList<>();
Substring origin = new Substring(0, 5, "h\u00F4tels");
terms.add(new WordAlternativesItem.Alternative("h\u00F4tels", 1.0d));
terms.add(new WordAlternativesItem.Alternative("h\u00F4tel", 0.7d));
query.getModel().getQueryTree().setRoot(new WordAlternativesItem("default", true, origin, terms));
createExecution().search(query);
WordAlternativesItem w = (WordAlternativesItem) query.getModel().getQueryTree().getRoot();
assertEquals(4, w.getAlternatives().size());
boolean foundHotel = false;
for (WordAlternativesItem.Alternative a : w.getAlternatives()) {
if ("hotel".equals(a.word)) {
foundHotel = true;
assertEquals(.7d * .7d, a.exactness, 1e-15);
}
}
assertTrue(foundHotel, "Did not find the expected normalized form \"hotel\".");
}
@Test
void testPhraseSegmentNormalization() {
Query query = new Query("/search?query=&search=cluster1&restrict=type1");
PhraseSegmentItem phraseSegment = new PhraseSegmentItem("default", false, false);
phraseSegment.addItem(new WordItem("net"));
query.getModel().getQueryTree().setRoot(phraseSegment);
assertEquals("'net'", query.getModel().getQueryTree().getRoot().toString());
createExecution().search(query);
assertEquals("'net'", query.getModel().getQueryTree().getRoot().toString());
}
private Execution createExecution() {
return new Execution(new NormalizingSearcher(linguistics),
Execution.Context.createContextStub(createIndexFacts(), linguistics));
}
private IndexFacts createIndexFacts() {
Map<String, List<String>> clusters = new LinkedHashMap<>();
clusters.put("cluster1", List.of("type1", "type2", "type3"));
clusters.put("cluster2", List.of("type4", "type5"));
Collection<SearchDefinition> searchDefs = List.of(
createSearchDefinitionWithFields("type1", true),
createSearchDefinitionWithFields("type2", false),
new SearchDefinition("type3"),
new SearchDefinition("type4"),
new SearchDefinition("type5"));
return new IndexFacts(new IndexModel(clusters, searchDefs));
}
private SearchDefinition createSearchDefinitionWithFields(String name, boolean normalize) {
SearchDefinition type = new SearchDefinition(name);
Index defaultIndex = new Index("default");
defaultIndex.setNormalize(normalize);
type.addIndex(defaultIndex);
Index absoluteIndex = new Index("absolute");
absoluteIndex.setNormalize(normalize);
type.addIndex(absoluteIndex);
Index normalizercheckIndex = new Index("normalizercheck");
normalizercheckIndex.setNormalize(normalize);
type.addIndex(normalizercheckIndex);
Index attributeIndex = new Index("attribute");
attributeIndex.setAttribute(true);
type.addIndex(attributeIndex);
return type;
}
}
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