/* * 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. */ using System; using NUnit.Framework; using SimpleAnalyzer = Lucene.Net.Analysis.SimpleAnalyzer; using Document = Lucene.Net.Documents.Document; using Field = Lucene.Net.Documents.Field; using Lucene.Net.Index; using Directory = Lucene.Net.Store.Directory; using MockRAMDirectory = Lucene.Net.Store.MockRAMDirectory; using English = Lucene.Net.Util.English; using LuceneTestCase = Lucene.Net.Util.LuceneTestCase; namespace Lucene.Net.Search { [TestFixture] public class TestTermVectors:LuceneTestCase { private IndexSearcher searcher; private Directory directory = new MockRAMDirectory(); [SetUp] public override void SetUp() { base.SetUp(); IndexWriter writer = new IndexWriter(directory, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); //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); } writer.Close(); searcher = new IndexSearcher(directory, true); } [Test] public virtual void Test() { Assert.IsTrue(searcher != null); } [Test] public virtual void TestTermVectors_Renamed() { Query query = new TermQuery(new Term("field", "seventy")); try { ScoreDoc[] hits = searcher.Search(query, null, 1000).ScoreDocs; Assert.AreEqual(100, hits.Length); for (int i = 0; i < hits.Length; i++) { ITermFreqVector[] vector = searcher.reader_ForNUnit.GetTermFreqVectors(hits[i].Doc); Assert.IsTrue(vector != null); Assert.IsTrue(vector.Length == 1); } } catch (System.IO.IOException) { Assert.IsTrue(false); } } [Test] public virtual void TestTermVectorsFieldOrder() { Directory dir = new MockRAMDirectory(); IndexWriter writer = new IndexWriter(dir, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); 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); writer.Close(); IndexReader reader = IndexReader.Open(dir, true); ITermFreqVector[] v = reader.GetTermFreqVectors(0); Assert.AreEqual(4, v.Length); System.String[] expectedFields = new System.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]; Assert.AreEqual(expectedFields[i], posVec.Field); System.String[] terms = posVec.GetTerms(); Assert.AreEqual(3, terms.Length); Assert.AreEqual("content", terms[0]); Assert.AreEqual("here", terms[1]); Assert.AreEqual("some", terms[2]); for (int j = 0; j < 3; j++) { int[] positions = posVec.GetTermPositions(j); Assert.AreEqual(1, positions.Length); Assert.AreEqual(expectedPositions[j], positions[0]); } } } [Test] public virtual void TestTermPositionVectors() { Query query = new TermQuery(new Term("field", "zero")); try { ScoreDoc[] hits = searcher.Search(query, null, 1000).ScoreDocs; Assert.AreEqual(1, hits.Length); for (int i = 0; i < hits.Length; i++) { ITermFreqVector[] vector = searcher.reader_ForNUnit.GetTermFreqVectors(hits[i].Doc); Assert.IsTrue(vector != null); Assert.IsTrue(vector.Length == 1); bool shouldBePosVector = (hits[i].Doc % 2 == 0)?true:false; Assert.IsTrue((shouldBePosVector == false) || (shouldBePosVector == true && (vector[0] is TermPositionVector == true))); bool shouldBeOffVector = (hits[i].Doc % 3 == 0)?true:false; Assert.IsTrue((shouldBeOffVector == false) || (shouldBeOffVector == true && (vector[0] is TermPositionVector == true))); if (shouldBePosVector || shouldBeOffVector) { TermPositionVector posVec = (TermPositionVector) vector[0]; System.String[] terms = posVec.GetTerms(); Assert.IsTrue(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) { Assert.IsTrue(positions != null); Assert.IsTrue(positions.Length > 0); } else Assert.IsTrue(positions == null); if (shouldBeOffVector) { Assert.IsTrue(offsets != null); Assert.IsTrue(offsets.Length > 0); } else Assert.IsTrue(offsets == null); } } else { try { TermPositionVector posVec = (TermPositionVector) vector[0]; Assert.IsTrue(false); } catch (System.InvalidCastException ignore) { ITermFreqVector freqVec = vector[0]; System.String[] terms = freqVec.GetTerms(); Assert.IsTrue(terms != null && terms.Length > 0); } } } } catch (System.IO.IOException) { Assert.IsTrue(false); } } [Test] public virtual void TestTermOffsetVectors() { Query query = new TermQuery(new Term("field", "fifty")); try { ScoreDoc[] hits = searcher.Search(query, null, 1000).ScoreDocs; Assert.AreEqual(100, hits.Length); for (int i = 0; i < hits.Length; i++) { ITermFreqVector[] vector = searcher.reader_ForNUnit.GetTermFreqVectors(hits[i].Doc); Assert.IsTrue(vector != null); Assert.IsTrue(vector.Length == 1); //Assert.IsTrue(); } } catch (System.IO.IOException) { Assert.IsTrue(false); } } [Test] public virtual void TestKnownSetOfDocuments() { System.String test1 = "eating chocolate in a computer lab"; //6 terms System.String test2 = "computer in a computer lab"; //5 terms System.String test3 = "a chocolate lab grows old"; //5 terms System.String test4 = "eating chocolate with a chocolate lab in an old chocolate colored computer lab"; //13 terms System.Collections.IDictionary test4Map = new System.Collections.Hashtable(); test4Map["chocolate"] = 3; test4Map["lab"] = 2; test4Map["eating"] = 1; test4Map["computer"] = 1; test4Map["with"] = 1; test4Map["a"] = 1; test4Map["colored"] = 1; test4Map["in"] = 1; test4Map["an"] = 1; test4Map["computer"] = 1; test4Map["old"] = 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 = new MockRAMDirectory(); try { IndexWriter writer = new IndexWriter(dir, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); Assert.IsTrue(writer != null); writer.AddDocument(testDoc1); writer.AddDocument(testDoc2); writer.AddDocument(testDoc3); writer.AddDocument(testDoc4); writer.Close(); IndexSearcher knownSearcher = new IndexSearcher(dir, true); TermEnum termEnum = knownSearcher.reader_ForNUnit.Terms(); TermDocs termDocs = knownSearcher.reader_ForNUnit.TermDocs(); //System.out.println("Terms: " + termEnum.size() + " Orig Len: " + termArray.length); Similarity sim = knownSearcher.Similarity; 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); ITermFreqVector vector = knownSearcher.reader_ForNUnit.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); Assert.IsTrue(vector != null); System.String[] vTerms = vector.GetTerms(); int[] freqs = vector.GetTermFrequencies(); for (int i = 0; i < vTerms.Length; i++) { if (term.Text.Equals(vTerms[i])) { Assert.IsTrue(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 Assert.IsTrue(hits.Length == 3); float score = hits[0].Score; /*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)));*/ Assert.IsTrue(hits[0].Doc == 2); Assert.IsTrue(hits[1].Doc == 3); Assert.IsTrue(hits[2].Doc == 0); ITermFreqVector vector2 = knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].Doc, "field"); Assert.IsTrue(vector2 != null); //System.out.println("Vector: " + vector); System.String[] terms = vector2.GetTerms(); int[] freqs2 = vector2.GetTermFrequencies(); Assert.IsTrue(terms != null && terms.Length == 10); for (int i = 0; i < terms.Length; i++) { System.String term = terms[i]; //System.out.println("Term: " + term); int freq = freqs2[i]; Assert.IsTrue(test4.IndexOf(term) != - 1); System.Int32 freqInt = -1; try { freqInt = (System.Int32) test4Map[term]; } catch (Exception) { Assert.IsTrue(false); } Assert.IsTrue(freqInt == freq); } SortedTermVectorMapper mapper = new SortedTermVectorMapper(new TermVectorEntryFreqSortedComparator()); knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].Doc, mapper); var vectorEntrySet = mapper.TermVectorEntrySet; Assert.IsTrue(vectorEntrySet.Count == 10, "mapper.getTermVectorEntrySet() Size: " + vectorEntrySet.Count + " is not: " + 10); TermVectorEntry last = null; foreach(TermVectorEntry tve in vectorEntrySet) { if (tve != null && last != null) { Assert.IsTrue(last.Frequency >= tve.Frequency, "terms are not properly sorted"); System.Int32 expectedFreq = (System.Int32) test4Map[tve.Term]; //we expect double the expectedFreq, since there are two fields with the exact same text and we are collapsing all fields Assert.IsTrue(tve.Frequency == 2 * expectedFreq, "Frequency is not correct:"); } last = tve; } FieldSortedTermVectorMapper fieldMapper = new FieldSortedTermVectorMapper(new TermVectorEntryFreqSortedComparator()); knownSearcher.reader_ForNUnit.GetTermFreqVector(hits[1].Doc, fieldMapper); var map = fieldMapper.FieldToTerms; Assert.IsTrue(map.Count == 2, "map Size: " + map.Count + " is not: " + 2); vectorEntrySet = map["field"]; Assert.IsTrue(vectorEntrySet != null, "vectorEntrySet is null and it shouldn't be"); Assert.IsTrue(vectorEntrySet.Count == 10, "vectorEntrySet Size: " + vectorEntrySet.Count + " is not: " + 10); knownSearcher.Close(); } catch (System.IO.IOException e) { System.Console.Error.WriteLine(e.StackTrace); Assert.IsTrue(false); } } private void SetupDoc(Document doc, System.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 [Test] public virtual void TestRareVectors() { IndexWriter writer = new IndexWriter(directory, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); 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); } 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); } writer.Close(); searcher = new IndexSearcher(directory, true); Query query = new TermQuery(new Term("field", "hundred")); ScoreDoc[] hits = searcher.Search(query, null, 1000).ScoreDocs; Assert.AreEqual(10, hits.Length); for (int i = 0; i < hits.Length; i++) { ITermFreqVector[] vector = searcher.reader_ForNUnit.GetTermFreqVectors(hits[i].Doc); Assert.IsTrue(vector != null); Assert.IsTrue(vector.Length == 1); } } // In a single doc, for the same field, mix the term // vectors up [Test] public virtual void TestMixedVectrosVectors() { IndexWriter writer = new IndexWriter(directory, new SimpleAnalyzer(), true, IndexWriter.MaxFieldLength.LIMITED); 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); writer.Close(); searcher = new IndexSearcher(directory, true); Query query = new TermQuery(new Term("field", "one")); ScoreDoc[] hits = searcher.Search(query, null, 1000).ScoreDocs; Assert.AreEqual(1, hits.Length); ITermFreqVector[] vector = searcher.reader_ForNUnit.GetTermFreqVectors(hits[0].Doc); Assert.IsTrue(vector != null); Assert.IsTrue(vector.Length == 1); TermPositionVector tfv = (TermPositionVector) vector[0]; Assert.IsTrue(tfv.Field.Equals("field")); System.String[] terms = tfv.GetTerms(); Assert.AreEqual(1, terms.Length); Assert.AreEqual(terms[0], "one"); Assert.AreEqual(5, tfv.GetTermFrequencies()[0]); int[] positions = tfv.GetTermPositions(0); Assert.AreEqual(5, positions.Length); for (int i = 0; i < 5; i++) Assert.AreEqual(i, positions[i]); TermVectorOffsetInfo[] offsets = tfv.GetOffsets(0); Assert.AreEqual(5, offsets.Length); for (int i = 0; i < 5; i++) { Assert.AreEqual(4 * i, offsets[i].StartOffset); Assert.AreEqual(4 * i + 3, offsets[i].EndOffset); } } } }