package org.apache.lucene.index; /* * 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. */ import java.io.IOException; import org.apache.lucene.analysis.MockAnalyzer; import org.apache.lucene.document.Document; import org.apache.lucene.document.Field; import org.apache.lucene.document.TextField; import org.apache.lucene.search.CollectionStatistics; import org.apache.lucene.search.TermStatistics; import org.apache.lucene.search.similarities.DefaultSimilarity; import org.apache.lucene.search.similarities.PerFieldSimilarityWrapper; import org.apache.lucene.search.similarities.Similarity; import org.apache.lucene.store.Directory; import org.apache.lucene.util.LineFileDocs; import org.apache.lucene.util.LuceneTestCase; import org.apache.lucene.util.TestUtil; /** * */ public class TestCustomNorms extends LuceneTestCase { final String floatTestField = "normsTestFloat"; final String exceptionTestField = "normsTestExcp"; public void testFloatNorms() throws IOException { Directory dir = newDirectory(); MockAnalyzer analyzer = new MockAnalyzer(random()); analyzer.setMaxTokenLength(TestUtil.nextInt(random(), 1, IndexWriter.MAX_TERM_LENGTH)); IndexWriterConfig config = newIndexWriterConfig(TEST_VERSION_CURRENT, analyzer); Similarity provider = new MySimProvider(); config.setSimilarity(provider); RandomIndexWriter writer = new RandomIndexWriter(random(), dir, config); final LineFileDocs docs = new LineFileDocs(random()); int num = atLeast(100); for (int i = 0; i < num; i++) { Document doc = docs.nextDoc(); float nextFloat = random().nextFloat(); Field f = new TextField(floatTestField, "" + nextFloat, Field.Store.YES); f.setBoost(nextFloat); doc.add(f); writer.addDocument(doc); doc.removeField(floatTestField); if (rarely()) { writer.commit(); } } writer.commit(); writer.close(); AtomicReader open = SlowCompositeReaderWrapper.wrap(DirectoryReader.open(dir)); NumericDocValues norms = open.getNormValues(floatTestField); assertNotNull(norms); for (int i = 0; i < open.maxDoc(); i++) { StoredDocument document = open.document(i); float expected = Float.parseFloat(document.get(floatTestField)); assertEquals(expected, Float.intBitsToFloat((int)norms.get(i)), 0.0f); } open.close(); dir.close(); docs.close(); } public class MySimProvider extends PerFieldSimilarityWrapper { Similarity delegate = new DefaultSimilarity(); @Override public float queryNorm(float sumOfSquaredWeights) { return delegate.queryNorm(sumOfSquaredWeights); } @Override public Similarity get(String field) { if (floatTestField.equals(field)) { return new FloatEncodingBoostSimilarity(); } else { return delegate; } } @Override public float coord(int overlap, int maxOverlap) { return delegate.coord(overlap, maxOverlap); } } public static class FloatEncodingBoostSimilarity extends Similarity { @Override public long computeNorm(FieldInvertState state) { return Float.floatToIntBits(state.getBoost()); } @Override public SimWeight computeWeight(float queryBoost, CollectionStatistics collectionStats, TermStatistics... termStats) { throw new UnsupportedOperationException(); } @Override public SimScorer simScorer(SimWeight weight, AtomicReaderContext context) throws IOException { throw new UnsupportedOperationException(); } } }