package org.apache.lucene.sandbox.queries;
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* http://www.apache.org/licenses/LICENSE-2.0
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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.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(TEST_VERSION_CURRENT, new MockAnalyzer(random())).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 {
reader.close();
directory.close();
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", 0.3f, 1);
Query q = flt.rewrite(searcher.getIndexReader());
HashSet<Term> queryTerms = new HashSet<Term>();
q.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", 0.3f, 1);
Query q = flt.rewrite(searcher.getIndexReader());
HashSet<Term> queryTerms = new HashSet<Term>();
q.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", 0.3f, 1);
flt.addTerms("jonathin smoth", "this field does not exist", 0.3f, 1);
// don't fail here just because the field doesn't exits
Query q = flt.rewrite(searcher.getIndexReader());
HashSet<Term> queryTerms = new HashSet<Term>();
q.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", 0.3f, 1);
Query q = flt.rewrite(searcher.getIndexReader());
HashSet<Term> queryTerms = new HashSet<Term>();
q.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", 0.5f, 2);
FuzzyLikeThisQuery fltq2 = new FuzzyLikeThisQuery(10, analyzer);
fltq2.addTerms("javi", "subject", 0.5f, 2);
assertEquals("FuzzyLikeThisQuery with same attributes is not equal", fltq1,
fltq2);
}
}