/* * 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.sandbox.queries; import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.analysis.MockAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.index.IndexReader; import org.apache.lucene.index.RandomIndexWriter; import org.apache.lucene.index.Term; import org.apache.lucene.search.IndexSearcher; import org.apache.lucene.search.Query; import org.apache.lucene.search.ScoreDoc; import org.apache.lucene.search.TopDocs; import org.apache.lucene.store.Directory; import org.apache.lucene.util.IOUtils; import org.apache.lucene.util.LuceneTestCase; import java.io.IOException; import java.util.HashSet; public class FuzzyLikeThisQueryTest extends LuceneTestCase { private Directory directory; private IndexSearcher searcher; private IndexReader reader; private Analyzer analyzer; @Override public void setUp() throws Exception { super.setUp(); analyzer = new MockAnalyzer(random()); directory = newDirectory(); RandomIndexWriter writer = new RandomIndexWriter(random(), directory, newIndexWriterConfig(analyzer).setMergePolicy(newLogMergePolicy())); //Add series of docs with misspelt names addDoc(writer, "jonathon smythe", "1"); addDoc(writer, "jonathan smith", "2"); addDoc(writer, "johnathon smyth", "3"); addDoc(writer, "johnny smith", "4"); addDoc(writer, "jonny smith", "5"); addDoc(writer, "johnathon smythe", "6"); reader = writer.getReader(); writer.close(); searcher = newSearcher(reader); } @Override public void tearDown() throws Exception { IOUtils.close(reader, directory, analyzer); super.tearDown(); } private void addDoc(RandomIndexWriter writer, String name, String id) throws IOException { Document doc = new Document(); doc.add(newTextField("name", name, Field.Store.YES)); doc.add(newTextField("id", id, Field.Store.YES)); writer.addDocument(doc); } //Tests that idf ranking is not favouring rare mis-spellings over a strong edit-distance match public void testClosestEditDistanceMatchComesFirst() throws Throwable { FuzzyLikeThisQuery flt = new FuzzyLikeThisQuery(10, analyzer); flt.addTerms("smith", "name", 2, 1); Query q = flt.rewrite(searcher.getIndexReader()); HashSet<Term> queryTerms = new HashSet<>(); searcher.createWeight(q, true, 1f).extractTerms(queryTerms); assertTrue("Should have variant smythe", queryTerms.contains(new Term("name", "smythe"))); assertTrue("Should have variant smith", queryTerms.contains(new Term("name", "smith"))); assertTrue("Should have variant smyth", queryTerms.contains(new Term("name", "smyth"))); TopDocs topDocs = searcher.search(flt, 1); ScoreDoc[] sd = topDocs.scoreDocs; assertTrue("score docs must match 1 doc", (sd != null) && (sd.length > 0)); Document doc = searcher.doc(sd[0].doc); assertEquals("Should match most similar not most rare variant", "2", doc.get("id")); } //Test multiple input words are having variants produced public void testMultiWord() throws Throwable { FuzzyLikeThisQuery flt = new FuzzyLikeThisQuery(10, analyzer); flt.addTerms("jonathin smoth", "name", 2, 1); Query q = flt.rewrite(searcher.getIndexReader()); HashSet<Term> queryTerms = new HashSet<>(); searcher.createWeight(q, true, 1f).extractTerms(queryTerms); assertTrue("Should have variant jonathan", queryTerms.contains(new Term("name", "jonathan"))); assertTrue("Should have variant smith", queryTerms.contains(new Term("name", "smith"))); TopDocs topDocs = searcher.search(flt, 1); ScoreDoc[] sd = topDocs.scoreDocs; assertTrue("score docs must match 1 doc", (sd != null) && (sd.length > 0)); Document doc = searcher.doc(sd[0].doc); assertEquals("Should match most similar when using 2 words", "2", doc.get("id")); } // LUCENE-4809 public void testNonExistingField() throws Throwable { FuzzyLikeThisQuery flt = new FuzzyLikeThisQuery(10, analyzer); flt.addTerms("jonathin smoth", "name", 2, 1); flt.addTerms("jonathin smoth", "this field does not exist", 2, 1); // don't fail here just because the field doesn't exits Query q = flt.rewrite(searcher.getIndexReader()); HashSet<Term> queryTerms = new HashSet<>(); searcher.createWeight(q, true, 1f).extractTerms(queryTerms); assertTrue("Should have variant jonathan", queryTerms.contains(new Term("name", "jonathan"))); assertTrue("Should have variant smith", queryTerms.contains(new Term("name", "smith"))); TopDocs topDocs = searcher.search(flt, 1); ScoreDoc[] sd = topDocs.scoreDocs; assertTrue("score docs must match 1 doc", (sd != null) && (sd.length > 0)); Document doc = searcher.doc(sd[0].doc); assertEquals("Should match most similar when using 2 words", "2", doc.get("id")); } //Test bug found when first query word does not match anything public void testNoMatchFirstWordBug() throws Throwable { FuzzyLikeThisQuery flt = new FuzzyLikeThisQuery(10, analyzer); flt.addTerms("fernando smith", "name", 2, 1); Query q = flt.rewrite(searcher.getIndexReader()); HashSet<Term> queryTerms = new HashSet<>(); searcher.createWeight(q, true, 1f).extractTerms(queryTerms); assertTrue("Should have variant smith", queryTerms.contains(new Term("name", "smith"))); TopDocs topDocs = searcher.search(flt, 1); ScoreDoc[] sd = topDocs.scoreDocs; assertTrue("score docs must match 1 doc", (sd != null) && (sd.length > 0)); Document doc = searcher.doc(sd[0].doc); assertEquals("Should match most similar when using 2 words", "2", doc.get("id")); } public void testFuzzyLikeThisQueryEquals() { Analyzer analyzer = new MockAnalyzer(random()); FuzzyLikeThisQuery fltq1 = new FuzzyLikeThisQuery(10, analyzer); fltq1.addTerms("javi", "subject", 2, 2); FuzzyLikeThisQuery fltq2 = new FuzzyLikeThisQuery(10, analyzer); fltq2.addTerms("javi", "subject", 2, 2); assertEquals("FuzzyLikeThisQuery with same attributes is not equal", fltq1, fltq2); } }