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Lucene example source code file (TestTermVectors.java)

This example Lucene source code file (TestTermVectors.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - Lucene tags/keywords

document, document, field, field, io, ioexception, randomindexwriter, randomindexwriter, scoredoc, string, string, term, termfreqvector, termpositionvector, termquery, util

The Lucene TestTermVectors.java source code

package org.apache.lucene.search;

/**
 * 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 org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.analysis.MockTokenizer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.index.*;
import org.apache.lucene.index.IndexWriterConfig.OpenMode;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.English;

import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.SortedSet;

public class TestTermVectors extends LuceneTestCase {
  private IndexSearcher searcher;
  private IndexReader reader;
  private Directory directory;

  @Override
  public void setUp() throws Exception {                  
    super.setUp();
    directory = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, directory, newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random, MockTokenizer.SIMPLE, true)).setMergePolicy(newLogMergePolicy()));
    //writer.setUseCompoundFile(true);
    //writer.infoStream = System.out;
    for (int i = 0; i < 1000; i++) {
      Document doc = new Document();
      Field.TermVector termVector;
      int mod3 = i % 3;
      int mod2 = i % 2;
      if (mod2 == 0 && mod3 == 0){
        termVector = Field.TermVector.WITH_POSITIONS_OFFSETS;
      }
      else if (mod2 == 0){
        termVector = Field.TermVector.WITH_POSITIONS;
      }
      else if (mod3 == 0){
        termVector = Field.TermVector.WITH_OFFSETS;
      }
      else {
        termVector = Field.TermVector.YES;
      }
      doc.add(new Field("field", English.intToEnglish(i),
          Field.Store.YES, Field.Index.ANALYZED, termVector));
      writer.addDocument(doc);
    }
    reader = writer.getReader();
    writer.close();
    searcher = newSearcher(reader);
  }
  
  @Override
  public void tearDown() throws Exception {
    searcher.close();
    reader.close();
    directory.close();
    super.tearDown();
  }

  public void test() {
    assertTrue(searcher != null);
  }

  public void testTermVectors() {
    Query query = new TermQuery(new Term("field", "seventy"));
    try {
      ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
      assertEquals(100, hits.length);
      
      for (int i = 0; i < hits.length; i++)
      {
        TermFreqVector [] vector = searcher.reader.getTermFreqVectors(hits[i].doc);
        assertTrue(vector != null);
        assertTrue(vector.length == 1);
      }
    } catch (IOException e) {
      assertTrue(false);
    }
  }
  
  public void testTermVectorsFieldOrder() throws IOException {
    Directory dir = newDirectory();
    RandomIndexWriter writer = new RandomIndexWriter(random, dir, new MockAnalyzer(random, MockTokenizer.SIMPLE, true));
    Document doc = new Document();
    doc.add(new Field("c", "some content here", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    doc.add(new Field("a", "some content here", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    doc.add(new Field("b", "some content here", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    doc.add(new Field("x", "some content here", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    writer.addDocument(doc);
    IndexReader reader = writer.getReader();
    writer.close();
    TermFreqVector[] v = reader.getTermFreqVectors(0);
    assertEquals(4, v.length);
    String[] expectedFields = new String[]{"a", "b", "c", "x"};
    int[] expectedPositions = new int[]{1, 2, 0};
    for(int i=0;i<v.length;i++) {
      TermPositionVector posVec = (TermPositionVector) v[i];
      assertEquals(expectedFields[i], posVec.getField());
      String[] terms = posVec.getTerms();
      assertEquals(3, terms.length);
      assertEquals("content", terms[0]);
      assertEquals("here", terms[1]);
      assertEquals("some", terms[2]);
      for(int j=0;j<3;j++) {
        int[] positions = posVec.getTermPositions(j);
        assertEquals(1, positions.length);
        assertEquals(expectedPositions[j], positions[0]);
      }
    }
    reader.close();
    dir.close();
  }

  public void testTermPositionVectors() throws IOException {
    Query query = new TermQuery(new Term("field", "zero"));
    ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
    assertEquals(1, hits.length);
    
    for (int i = 0; i < hits.length; i++)
    {
      TermFreqVector [] vector = searcher.reader.getTermFreqVectors(hits[i].doc);
      assertTrue(vector != null);
      assertTrue(vector.length == 1);
      
      boolean shouldBePosVector = (hits[i].doc % 2 == 0) ? true : false;
      assertTrue((shouldBePosVector == false) || (shouldBePosVector == true && (vector[0] instanceof TermPositionVector == true)));
      
      boolean shouldBeOffVector = (hits[i].doc % 3 == 0) ? true : false;
      assertTrue((shouldBeOffVector == false) || (shouldBeOffVector == true && (vector[0] instanceof TermPositionVector == true)));
      
      if(shouldBePosVector || shouldBeOffVector){
        TermPositionVector posVec = (TermPositionVector)vector[0];
        String [] terms = posVec.getTerms();
        assertTrue(terms != null && terms.length > 0);
        
        for (int j = 0; j < terms.length; j++) {
          int [] positions = posVec.getTermPositions(j);
          TermVectorOffsetInfo [] offsets = posVec.getOffsets(j);
          
          if(shouldBePosVector){
            assertTrue(positions != null);
            assertTrue(positions.length > 0);
          }
          else
            assertTrue(positions == null);
          
          if(shouldBeOffVector){
            assertTrue(offsets != null);
            assertTrue(offsets.length > 0);
          }
          else
            assertTrue(offsets == null);
        }
      }
      else{
        try{
          assertTrue(false);
        }
        catch(ClassCastException ignore){
          TermFreqVector freqVec = vector[0];
          String [] terms = freqVec.getTerms();
          assertTrue(terms != null && terms.length > 0);
        }
        
      }
      
    }
  }
  
  public void testTermOffsetVectors() {
    Query query = new TermQuery(new Term("field", "fifty"));
    try {
      ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
      assertEquals(100, hits.length);
      
      for (int i = 0; i < hits.length; i++)
      {
        TermFreqVector [] vector = searcher.reader.getTermFreqVectors(hits[i].doc);
        assertTrue(vector != null);
        assertTrue(vector.length == 1);
        
        //assertTrue();
      }
    } catch (IOException e) {
      assertTrue(false);
    }
  }

  public void testKnownSetOfDocuments() throws IOException {
    String test1 = "eating chocolate in a computer lab"; //6 terms
    String test2 = "computer in a computer lab"; //5 terms
    String test3 = "a chocolate lab grows old"; //5 terms
    String test4 = "eating chocolate with a chocolate lab in an old chocolate colored computer lab"; //13 terms
    Map<String,Integer> test4Map = new HashMap();
    test4Map.put("chocolate", Integer.valueOf(3));
    test4Map.put("lab", Integer.valueOf(2));
    test4Map.put("eating", Integer.valueOf(1));
    test4Map.put("computer", Integer.valueOf(1));
    test4Map.put("with", Integer.valueOf(1));
    test4Map.put("a", Integer.valueOf(1));
    test4Map.put("colored", Integer.valueOf(1));
    test4Map.put("in", Integer.valueOf(1));
    test4Map.put("an", Integer.valueOf(1));
    test4Map.put("computer", Integer.valueOf(1));
    test4Map.put("old", Integer.valueOf(1));
    
    Document testDoc1 = new Document();
    setupDoc(testDoc1, test1);
    Document testDoc2 = new Document();
    setupDoc(testDoc2, test2);
    Document testDoc3 = new Document();
    setupDoc(testDoc3, test3);
    Document testDoc4 = new Document();
    setupDoc(testDoc4, test4);
    
    Directory dir = newDirectory();
    
    RandomIndexWriter writer = new RandomIndexWriter(random, dir, 
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random, MockTokenizer.SIMPLE, true))
                                                     .setOpenMode(OpenMode.CREATE).setMergePolicy(newLogMergePolicy()));
    writer.addDocument(testDoc1);
    writer.addDocument(testDoc2);
    writer.addDocument(testDoc3);
    writer.addDocument(testDoc4);
    IndexReader reader = writer.getReader();
    writer.close();
    IndexSearcher knownSearcher = newSearcher(reader);
    TermEnum termEnum = knownSearcher.reader.terms();
    TermDocs termDocs = knownSearcher.reader.termDocs();
    //System.out.println("Terms: " + termEnum.size() + " Orig Len: " + termArray.length);
    
    //Similarity sim = knownSearcher.getSimilarity();
    while (termEnum.next() == true)
    {
      Term term = termEnum.term();
      //System.out.println("Term: " + term);
      termDocs.seek(term);
      while (termDocs.next())
      {
        int docId = termDocs.doc();
        int freq = termDocs.freq();
        //System.out.println("Doc Id: " + docId + " freq " + freq);
        TermFreqVector vector = knownSearcher.reader.getTermFreqVector(docId, "field");
        //float tf = sim.tf(freq);
        //float idf = sim.idf(knownSearcher.docFreq(term), knownSearcher.maxDoc());
        //float qNorm = sim.queryNorm()
        //This is fine since we don't have stop words
        //float lNorm = sim.lengthNorm("field", vector.getTerms().length);
        //float coord = sim.coord()
        //System.out.println("TF: " + tf + " IDF: " + idf + " LenNorm: " + lNorm);
        assertTrue(vector != null);
        String[] vTerms = vector.getTerms();
        int [] freqs = vector.getTermFrequencies();
        for (int i = 0; i < vTerms.length; i++)
        {
          if (term.text().equals(vTerms[i]))
          {
            assertTrue(freqs[i] == freq);
          }
        }
        
      }
      //System.out.println("--------");
    }
    Query query = new TermQuery(new Term("field", "chocolate"));
    ScoreDoc[] hits = knownSearcher.search(query, null, 1000).scoreDocs;
    //doc 3 should be the first hit b/c it is the shortest match
    assertTrue(hits.length == 3);
    /*System.out.println("Hit 0: " + hits.id(0) + " Score: " + hits.score(0) + " String: " + hits.doc(0).toString());
      System.out.println("Explain: " + knownSearcher.explain(query, hits.id(0)));
      System.out.println("Hit 1: " + hits.id(1) + " Score: " + hits.score(1) + " String: " + hits.doc(1).toString());
      System.out.println("Explain: " + knownSearcher.explain(query, hits.id(1)));
      System.out.println("Hit 2: " + hits.id(2) + " Score: " + hits.score(2) + " String: " +  hits.doc(2).toString());
      System.out.println("Explain: " + knownSearcher.explain(query, hits.id(2)));*/
    assertTrue(hits[0].doc == 2);
    assertTrue(hits[1].doc == 3);
    assertTrue(hits[2].doc == 0);
    TermFreqVector vector = knownSearcher.reader.getTermFreqVector(hits[1].doc, "field");
    assertTrue(vector != null);
    //System.out.println("Vector: " + vector);
    String[] terms = vector.getTerms();
    int [] freqs = vector.getTermFrequencies();
    assertTrue(terms != null && terms.length == 10);
    for (int i = 0; i < terms.length; i++) {
      String term = terms[i];
      //System.out.println("Term: " + term);
      int freq = freqs[i];
      assertTrue(test4.indexOf(term) != -1);
      Integer freqInt = test4Map.get(term);
      assertTrue(freqInt != null);
      assertTrue(freqInt.intValue() == freq);        
    }
    SortedTermVectorMapper mapper = new SortedTermVectorMapper(new TermVectorEntryFreqSortedComparator());
    knownSearcher.reader.getTermFreqVector(hits[1].doc, mapper);
    SortedSet<TermVectorEntry> vectorEntrySet = mapper.getTermVectorEntrySet();
    assertTrue("mapper.getTermVectorEntrySet() Size: " + vectorEntrySet.size() + " is not: " + 10, vectorEntrySet.size() == 10);
    TermVectorEntry last = null;
    for (final TermVectorEntry tve : vectorEntrySet) {
      if (tve != null && last != null)
      {
        assertTrue("terms are not properly sorted", last.getFrequency() >= tve.getFrequency());
        Integer expectedFreq =  test4Map.get(tve.getTerm());
        //we expect double the expectedFreq, since there are two fields with the exact same text and we are collapsing all fields
        assertTrue("Frequency is not correct:", tve.getFrequency() == 2*expectedFreq.intValue());
      }
      last = tve;
      
    }
    
    FieldSortedTermVectorMapper fieldMapper = new FieldSortedTermVectorMapper(new TermVectorEntryFreqSortedComparator());
    knownSearcher.reader.getTermFreqVector(hits[1].doc, fieldMapper);
    Map<String,SortedSet map = fieldMapper.getFieldToTerms();
    assertTrue("map Size: " + map.size() + " is not: " + 2, map.size() == 2);
    vectorEntrySet = map.get("field");
    assertTrue("vectorEntrySet is null and it shouldn't be", vectorEntrySet != null);
    assertTrue("vectorEntrySet Size: " + vectorEntrySet.size() + " is not: " + 10, vectorEntrySet.size() == 10);
    knownSearcher.close();
    reader.close();
    dir.close();
  } 
  
  private void setupDoc(Document doc, String text)
  {
    doc.add(new Field("field2", text, Field.Store.YES,
        Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    doc.add(new Field("field", text, Field.Store.YES,
        Field.Index.ANALYZED, Field.TermVector.YES));
    //System.out.println("Document: " + doc);
  }

  // Test only a few docs having vectors
  public void testRareVectors() throws IOException {
    RandomIndexWriter writer = new RandomIndexWriter(random, directory, 
        newIndexWriterConfig(TEST_VERSION_CURRENT, new MockAnalyzer(random, MockTokenizer.SIMPLE, true))
        .setOpenMode(OpenMode.CREATE));
    writer.w.setInfoStream(VERBOSE ? System.out : null);
    if (VERBOSE) {
      System.out.println("TEST: now add non-vectors");
    }
    for (int i = 0; i < 100; i++) {
      Document doc = new Document();
      doc.add(new Field("field", English.intToEnglish(i),
                        Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.NO));
      writer.addDocument(doc);
    }
    if (VERBOSE) {
      System.out.println("TEST: now add vectors");
    }
    for(int i=0;i<10;i++) {
      Document doc = new Document();
      doc.add(new Field("field", English.intToEnglish(100+i),
                        Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
      writer.addDocument(doc);
    }

    if (VERBOSE) {
      System.out.println("TEST: now getReader");
    }
    IndexReader reader = writer.getReader();
    writer.close();
    searcher = newSearcher(reader);

    Query query = new TermQuery(new Term("field", "hundred"));
    ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
    assertEquals(10, hits.length);
    for (int i = 0; i < hits.length; i++) {

      TermFreqVector [] vector = searcher.reader.getTermFreqVectors(hits[i].doc);
      assertTrue(vector != null);
      assertTrue(vector.length == 1);
    }
    reader.close();
  }


  // In a single doc, for the same field, mix the term
  // vectors up
  public void testMixedVectrosVectors() throws IOException {
    RandomIndexWriter writer = new RandomIndexWriter(random, directory, 
        newIndexWriterConfig(TEST_VERSION_CURRENT, 
        new MockAnalyzer(random, MockTokenizer.SIMPLE, true)).setOpenMode(OpenMode.CREATE));
    Document doc = new Document();
    doc.add(new Field("field", "one",
                      Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.NO));
    doc.add(new Field("field", "one",
                      Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.YES));
    doc.add(new Field("field", "one",
                      Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS));
    doc.add(new Field("field", "one",
                      Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_OFFSETS));
    doc.add(new Field("field", "one",
                      Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS));
    writer.addDocument(doc);
    IndexReader reader = writer.getReader();
    writer.close();

    searcher = newSearcher(reader);

    Query query = new TermQuery(new Term("field", "one"));
    ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
    assertEquals(1, hits.length);

    TermFreqVector [] vector = searcher.reader.getTermFreqVectors(hits[0].doc);
    assertTrue(vector != null);
    assertTrue(vector.length == 1);
    TermPositionVector tfv = (TermPositionVector) vector[0];
    assertTrue(tfv.getField().equals("field"));
    String[] terms = tfv.getTerms();
    assertEquals(1, terms.length);
    assertEquals(terms[0], "one");
    assertEquals(5, tfv.getTermFrequencies()[0]);

    int[] positions = tfv.getTermPositions(0);
    assertEquals(5, positions.length);
    for(int i=0;i<5;i++)
      assertEquals(i, positions[i]);
    TermVectorOffsetInfo[] offsets = tfv.getOffsets(0);
    assertEquals(5, offsets.length);
    for(int i=0;i<5;i++) {
      assertEquals(4*i, offsets[i].getStartOffset());
      assertEquals(4*i+3, offsets[i].getEndOffset());
    }
    reader.close();
  }
}

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