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* 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
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package org.apache.lucene.facet.taxonomy;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.lucene.analysis.MockAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.FloatDocValuesField;
import org.apache.lucene.document.NumericDocValuesField;
import org.apache.lucene.document.StringField;
import org.apache.lucene.facet.FacetField;
import org.apache.lucene.facet.FacetResult;
import org.apache.lucene.facet.FacetTestCase;
import org.apache.lucene.facet.Facets;
import org.apache.lucene.facet.FacetsCollector;
import org.apache.lucene.facet.FacetsConfig;
import org.apache.lucene.facet.LabelAndValue;
import org.apache.lucene.facet.taxonomy.directory.DirectoryTaxonomyReader;
import org.apache.lucene.facet.taxonomy.directory.DirectoryTaxonomyWriter;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.RandomIndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.queries.function.FunctionQuery;
import org.apache.lucene.queries.function.valuesource.LongFieldSource;
import org.apache.lucene.search.BoostQuery;
import org.apache.lucene.search.ConstantScoreQuery;
import org.apache.lucene.search.DoubleValuesSource;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.IOUtils;
import org.apache.lucene.util.TestUtil;
public class TestTaxonomyFacetSumValueSource extends FacetTestCase {
public void testBasic() throws Exception {
Directory dir = newDirectory();
Directory taxoDir = newDirectory();
// Writes facet ords to a separate directory from the
// main index:
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);
RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
FacetsConfig config = new FacetsConfig();
// Reused across documents, to add the necessary facet
// fields:
Document doc = new Document();
doc.add(new NumericDocValuesField("num", 10));
doc.add(new FacetField("Author", "Bob"));
writer.addDocument(config.build(taxoWriter, doc));
doc = new Document();
doc.add(new NumericDocValuesField("num", 20));
doc.add(new FacetField("Author", "Lisa"));
writer.addDocument(config.build(taxoWriter, doc));
doc = new Document();
doc.add(new NumericDocValuesField("num", 30));
doc.add(new FacetField("Author", "Lisa"));
writer.addDocument(config.build(taxoWriter, doc));
doc = new Document();
doc.add(new NumericDocValuesField("num", 40));
doc.add(new FacetField("Author", "Susan"));
writer.addDocument(config.build(taxoWriter, doc));
doc = new Document();
doc.add(new NumericDocValuesField("num", 45));
doc.add(new FacetField("Author", "Frank"));
writer.addDocument(config.build(taxoWriter, doc));
// NRT open
IndexSearcher searcher = newSearcher(writer.getReader());
writer.close();
// NRT open
TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
taxoWriter.close();
// Aggregate the facet counts:
FacetsCollector c = new FacetsCollector();
// MatchAllDocsQuery is for "browsing" (counts facets
// for all non-deleted docs in the index); normally
// you'd use a "normal" query and one of the
// Facets.search utility methods:
searcher.search(new MatchAllDocsQuery(), c);
TaxonomyFacetSumValueSource facets = new TaxonomyFacetSumValueSource(taxoReader, new FacetsConfig(), c, DoubleValuesSource.fromIntField("num"));
// Retrieve & verify results:
assertEquals("dim=Author path=[] value=145.0 childCount=4\n Lisa (50.0)\n Frank (45.0)\n Susan (40.0)\n Bob (10.0)\n", facets.getTopChildren(10, "Author").toString());
taxoReader.close();
searcher.getIndexReader().close();
dir.close();
taxoDir.close();
}
// LUCENE-5333
public void testSparseFacets() throws Exception {
Directory dir = newDirectory();
Directory taxoDir = newDirectory();
// Writes facet ords to a separate directory from the
// main index:
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);
RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
FacetsConfig config = new FacetsConfig();
Document doc = new Document();
doc.add(new NumericDocValuesField("num", 10));
doc.add(new FacetField("a", "foo1"));
writer.addDocument(config.build(taxoWriter, doc));
if (random().nextBoolean()) {
writer.commit();
}
doc = new Document();
doc.add(new NumericDocValuesField("num", 20));
doc.add(new FacetField("a", "foo2"));
doc.add(new FacetField("b", "bar1"));
writer.addDocument(config.build(taxoWriter, doc));
if (random().nextBoolean()) {
writer.commit();
}
doc = new Document();
doc.add(new NumericDocValuesField("num", 30));
doc.add(new FacetField("a", "foo3"));
doc.add(new FacetField("b", "bar2"));
doc.add(new FacetField("c", "baz1"));
writer.addDocument(config.build(taxoWriter, doc));
// NRT open
IndexSearcher searcher = newSearcher(writer.getReader());
writer.close();
// NRT open
TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
taxoWriter.close();
FacetsCollector c = new FacetsCollector();
searcher.search(new MatchAllDocsQuery(), c);
TaxonomyFacetSumValueSource facets = new TaxonomyFacetSumValueSource(taxoReader, new FacetsConfig(), c, DoubleValuesSource.fromIntField("num"));
// Ask for top 10 labels for any dims that have counts:
List<FacetResult> results = facets.getAllDims(10);
assertEquals(3, results.size());
assertEquals("dim=a path=[] value=60.0 childCount=3\n foo3 (30.0)\n foo2 (20.0)\n foo1 (10.0)\n", results.get(0).toString());
assertEquals("dim=b path=[] value=50.0 childCount=2\n bar2 (30.0)\n bar1 (20.0)\n", results.get(1).toString());
assertEquals("dim=c path=[] value=30.0 childCount=1\n baz1 (30.0)\n", results.get(2).toString());
IOUtils.close(searcher.getIndexReader(), taxoReader, dir, taxoDir);
}
public void testWrongIndexFieldName() throws Exception {
Directory dir = newDirectory();
Directory taxoDir = newDirectory();
// Writes facet ords to a separate directory from the
// main index:
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir, IndexWriterConfig.OpenMode.CREATE);
FacetsConfig config = new FacetsConfig();
config.setIndexFieldName("a", "$facets2");
RandomIndexWriter writer = new RandomIndexWriter(random(), dir);
Document doc = new Document();
doc.add(new NumericDocValuesField("num", 10));
doc.add(new FacetField("a", "foo1"));
writer.addDocument(config.build(taxoWriter, doc));
// NRT open
IndexSearcher searcher = newSearcher(writer.getReader());
writer.close();
// NRT open
TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
taxoWriter.close();
FacetsCollector c = new FacetsCollector();
searcher.search(new MatchAllDocsQuery(), c);
TaxonomyFacetSumValueSource facets = new TaxonomyFacetSumValueSource(taxoReader, config, c, DoubleValuesSource.fromIntField("num"));
// Ask for top 10 labels for any dims that have counts:
List<FacetResult> results = facets.getAllDims(10);
assertTrue(results.isEmpty());
expectThrows(IllegalArgumentException.class, () -> {
facets.getSpecificValue("a");
});
expectThrows(IllegalArgumentException.class, () -> {
facets.getTopChildren(10, "a");
});
IOUtils.close(searcher.getIndexReader(), taxoReader, dir, taxoDir);
}
public void testSumScoreAggregator() throws Exception {
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
FacetsConfig config = new FacetsConfig();
for(int i = atLeast(30); i > 0; --i) {
Document doc = new Document();
if (random().nextBoolean()) { // don't match all documents
doc.add(new StringField("f", "v", Field.Store.NO));
}
doc.add(new FacetField("dim", "a"));
iw.addDocument(config.build(taxoWriter, doc));
}
DirectoryReader r = DirectoryReader.open(iw);
DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
FacetsCollector fc = new FacetsCollector(true);
BoostQuery csq = new BoostQuery(new ConstantScoreQuery(new MatchAllDocsQuery()), 2f);
TopDocs td = FacetsCollector.search(newSearcher(r), csq, 10, fc);
Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, fc, DoubleValuesSource.SCORES);
int expected = (int) (td.getMaxScore() * td.totalHits);
assertEquals(expected, facets.getSpecificValue("dim", "a").intValue());
iw.close();
IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
public void testNoScore() throws Exception {
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
FacetsConfig config = new FacetsConfig();
for (int i = 0; i < 4; i++) {
Document doc = new Document();
doc.add(new NumericDocValuesField("price", (i+1)));
doc.add(new FacetField("a", Integer.toString(i % 2)));
iw.addDocument(config.build(taxoWriter, doc));
}
DirectoryReader r = DirectoryReader.open(iw);
DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
FacetsCollector sfc = new FacetsCollector();
newSearcher(r).search(new MatchAllDocsQuery(), sfc);
Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, sfc, DoubleValuesSource.fromLongField("price"));
assertEquals("dim=a path=[] value=10.0 childCount=2\n 1 (6.0)\n 0 (4.0)\n", facets.getTopChildren(10, "a").toString());
iw.close();
IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
public void testWithScore() throws Exception {
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
FacetsConfig config = new FacetsConfig();
for (int i = 0; i < 4; i++) {
Document doc = new Document();
doc.add(new NumericDocValuesField("price", (i+1)));
doc.add(new FacetField("a", Integer.toString(i % 2)));
iw.addDocument(config.build(taxoWriter, doc));
}
DirectoryReader r = DirectoryReader.open(iw);
DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
FacetsCollector fc = new FacetsCollector(true);
// score documents by their 'price' field - makes asserting the correct counts for the categories easier
Query q = new FunctionQuery(new LongFieldSource("price"));
FacetsCollector.search(newSearcher(r), q, 10, fc);
Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, fc, DoubleValuesSource.SCORES);
assertEquals("dim=a path=[] value=10.0 childCount=2\n 1 (6.0)\n 0 (4.0)\n", facets.getTopChildren(10, "a").toString());
iw.close();
IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
public void testRollupValues() throws Exception {
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
FacetsConfig config = new FacetsConfig();
config.setHierarchical("a", true);
//config.setRequireDimCount("a", true);
for (int i = 0; i < 4; i++) {
Document doc = new Document();
doc.add(new NumericDocValuesField("price", (i+1)));
doc.add(new FacetField("a", Integer.toString(i % 2), "1"));
iw.addDocument(config.build(taxoWriter, doc));
}
DirectoryReader r = DirectoryReader.open(iw);
DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
FacetsCollector sfc = new FacetsCollector();
newSearcher(r).search(new MatchAllDocsQuery(), sfc);
Facets facets = new TaxonomyFacetSumValueSource(taxoReader, config, sfc, DoubleValuesSource.fromLongField("price"));
assertEquals("dim=a path=[] value=10.0 childCount=2\n 1 (6.0)\n 0 (4.0)\n", facets.getTopChildren(10, "a").toString());
iw.close();
IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
public void testCountAndSumScore() throws Exception {
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir);
IndexWriter iw = new IndexWriter(indexDir, newIndexWriterConfig(new MockAnalyzer(random())));
FacetsConfig config = new FacetsConfig();
config.setIndexFieldName("b", "$b");
for(int i = atLeast(30); i > 0; --i) {
Document doc = new Document();
doc.add(new StringField("f", "v", Field.Store.NO));
doc.add(new FacetField("a", "1"));
doc.add(new FacetField("b", "1"));
iw.addDocument(config.build(taxoWriter, doc));
}
DirectoryReader r = DirectoryReader.open(iw);
DirectoryTaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoWriter);
FacetsCollector fc = new FacetsCollector(true);
FacetsCollector.search(newSearcher(r), new MatchAllDocsQuery(), 10, fc);
Facets facets1 = getTaxonomyFacetCounts(taxoReader, config, fc);
Facets facets2 = new TaxonomyFacetSumValueSource(new DocValuesOrdinalsReader("$b"), taxoReader, config, fc, DoubleValuesSource.SCORES);
assertEquals(r.maxDoc(), facets1.getTopChildren(10, "a").value.intValue());
assertEquals(r.maxDoc(), facets2.getTopChildren(10, "b").value.doubleValue(), 1E-10);
iw.close();
IOUtils.close(taxoWriter, taxoReader, taxoDir, r, indexDir);
}
public void testRandom() throws Exception {
String[] tokens = getRandomTokens(10);
Directory indexDir = newDirectory();
Directory taxoDir = newDirectory();
RandomIndexWriter w = new RandomIndexWriter(random(), indexDir);
DirectoryTaxonomyWriter tw = new DirectoryTaxonomyWriter(taxoDir);
FacetsConfig config = new FacetsConfig();
int numDocs = atLeast(1000);
int numDims = TestUtil.nextInt(random(), 1, 7);
List<TestDoc> testDocs = getRandomDocs(tokens, numDocs, numDims);
for(TestDoc testDoc : testDocs) {
Document doc = new Document();
doc.add(newStringField("content", testDoc.content, Field.Store.NO));
testDoc.value = random().nextFloat();
doc.add(new FloatDocValuesField("value", testDoc.value));
for(int j=0;j<numDims;j++) {
if (testDoc.dims[j] != null) {
doc.add(new FacetField("dim" + j, testDoc.dims[j]));
}
}
w.addDocument(config.build(tw, doc));
}
// NRT open
IndexSearcher searcher = newSearcher(w.getReader());
// NRT open
TaxonomyReader tr = new DirectoryTaxonomyReader(tw);
int iters = atLeast(100);
for(int iter=0;iter<iters;iter++) {
String searchToken = tokens[random().nextInt(tokens.length)];
if (VERBOSE) {
System.out.println("\nTEST: iter content=" + searchToken);
}
FacetsCollector fc = new FacetsCollector();
FacetsCollector.search(searcher, new TermQuery(new Term("content", searchToken)), 10, fc);
Facets facets = new TaxonomyFacetSumValueSource(tr, config, fc, DoubleValuesSource.fromFloatField("value"));
// Slow, yet hopefully bug-free, faceting:
@SuppressWarnings({"rawtypes","unchecked"}) Map<String,Float>[] expectedValues = new HashMap[numDims];
for(int i=0;i<numDims;i++) {
expectedValues[i] = new HashMap<>();
}
for(TestDoc doc : testDocs) {
if (doc.content.equals(searchToken)) {
for(int j=0;j<numDims;j++) {
if (doc.dims[j] != null) {
Float v = expectedValues[j].get(doc.dims[j]);
if (v == null) {
expectedValues[j].put(doc.dims[j], doc.value);
} else {
expectedValues[j].put(doc.dims[j], v + doc.value);
}
}
}
}
}
List<FacetResult> expected = new ArrayList<>();
for(int i=0;i<numDims;i++) {
List<LabelAndValue> labelValues = new ArrayList<>();
double totValue = 0;
for(Map.Entry<String,Float> ent : expectedValues[i].entrySet()) {
labelValues.add(new LabelAndValue(ent.getKey(), ent.getValue()));
totValue += ent.getValue();
}
sortLabelValues(labelValues);
if (totValue > 0) {
expected.add(new FacetResult("dim" + i, new String[0], totValue, labelValues.toArray(new LabelAndValue[labelValues.size()]), labelValues.size()));
}
}
// Sort by highest value, tie break by value:
sortFacetResults(expected);
List<FacetResult> actual = facets.getAllDims(10);
// Messy: fixup ties
sortTies(actual);
if (VERBOSE) {
System.out.println("expected=\n" + expected.toString());
System.out.println("actual=\n" + actual.toString());
}
assertFloatValuesEquals(expected, actual);
}
w.close();
IOUtils.close(tw, searcher.getIndexReader(), tr, indexDir, taxoDir);
}
}