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package org.apache.lucene.analysis;
/**
* 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.analysis.Analyzer;
import org.apache.lucene.analysis.PerFieldAnalyzerWrapper;
import org.apache.lucene.analysis.WhitespaceAnalyzer;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.Query;
import org.apache.lucene.search.TermRangeFilter;
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.search.TermRangeQuery;
import org.apache.lucene.search.Searcher;
import org.apache.lucene.search.Sort;
import org.apache.lucene.search.SortField;
import org.apache.lucene.document.Field;
import org.apache.lucene.document.Document;
import org.apache.lucene.util.IndexableBinaryStringTools;
import org.apache.lucene.util.LuceneTestCase;
import org.apache.lucene.util._TestUtil;
import java.io.IOException;
import java.io.StringReader;
import java.util.HashMap;
import java.util.Map;
public abstract class CollationTestBase extends LuceneTestCase {
protected String firstRangeBeginningOriginal = "\u062F";
protected String firstRangeEndOriginal = "\u0698";
protected String secondRangeBeginningOriginal = "\u0633";
protected String secondRangeEndOriginal = "\u0638";
/**
* Convenience method to perform the same function as CollationKeyFilter.
*
* @param keyBits the result from
* collator.getCollationKey(original).toByteArray()
* @return The encoded collation key for the original String
*/
protected String encodeCollationKey(byte[] keyBits) {
// Ensure that the backing char[] array is large enough to hold the encoded
// Binary String
int encodedLength = IndexableBinaryStringTools.getEncodedLength(keyBits, 0, keyBits.length);
char[] encodedBegArray = new char[encodedLength];
IndexableBinaryStringTools.encode(keyBits, 0, keyBits.length, encodedBegArray, 0, encodedLength);
return new String(encodedBegArray);
}
public void testFarsiRangeFilterCollating(Analyzer analyzer, String firstBeg,
String firstEnd, String secondBeg,
String secondEnd) throws Exception {
RAMDirectory ramDir = new RAMDirectory();
IndexWriter writer = new IndexWriter(ramDir, new IndexWriterConfig(
TEST_VERSION_CURRENT, analyzer));
Document doc = new Document();
doc.add(new Field("content", "\u0633\u0627\u0628",
Field.Store.YES, Field.Index.ANALYZED));
doc.add(new Field("body", "body",
Field.Store.YES, Field.Index.NOT_ANALYZED));
writer.addDocument(doc);
writer.close();
IndexSearcher searcher = new IndexSearcher(ramDir, true);
Query query = new TermQuery(new Term("body","body"));
// Unicode order would include U+0633 in [ U+062F - U+0698 ], but Farsi
// orders the U+0698 character before the U+0633 character, so the single
// index Term below should NOT be returned by a TermRangeFilter with a Farsi
// Collator (or an Arabic one for the case when Farsi searcher not
// supported).
ScoreDoc[] result = searcher.search
(query, new TermRangeFilter("content", firstBeg, firstEnd, true, true), 1).scoreDocs;
assertEquals("The index Term should not be included.", 0, result.length);
result = searcher.search
(query, new TermRangeFilter("content", secondBeg, secondEnd, true, true), 1).scoreDocs;
assertEquals("The index Term should be included.", 1, result.length);
searcher.close();
}
public void testFarsiRangeQueryCollating(Analyzer analyzer, String firstBeg,
String firstEnd, String secondBeg,
String secondEnd) throws Exception {
RAMDirectory ramDir = new RAMDirectory();
IndexWriter writer = new IndexWriter(ramDir, new IndexWriterConfig(
TEST_VERSION_CURRENT, analyzer));
Document doc = new Document();
// Unicode order would include U+0633 in [ U+062F - U+0698 ], but Farsi
// orders the U+0698 character before the U+0633 character, so the single
// index Term below should NOT be returned by a TermRangeQuery with a Farsi
// Collator (or an Arabic one for the case when Farsi is not supported).
doc.add(new Field("content", "\u0633\u0627\u0628",
Field.Store.YES, Field.Index.ANALYZED));
writer.addDocument(doc);
writer.close();
IndexSearcher searcher = new IndexSearcher(ramDir, true);
Query query = new TermRangeQuery("content", firstBeg, firstEnd, true, true);
ScoreDoc[] hits = searcher.search(query, null, 1000).scoreDocs;
assertEquals("The index Term should not be included.", 0, hits.length);
query = new TermRangeQuery("content", secondBeg, secondEnd, true, true);
hits = searcher.search(query, null, 1000).scoreDocs;
assertEquals("The index Term should be included.", 1, hits.length);
searcher.close();
}
public void testFarsiTermRangeQuery(Analyzer analyzer, String firstBeg,
String firstEnd, String secondBeg, String secondEnd) throws Exception {
RAMDirectory farsiIndex = new RAMDirectory();
IndexWriter writer = new IndexWriter(farsiIndex, new IndexWriterConfig(
TEST_VERSION_CURRENT, analyzer));
Document doc = new Document();
doc.add(new Field("content", "\u0633\u0627\u0628",
Field.Store.YES, Field.Index.ANALYZED));
doc.add(new Field("body", "body",
Field.Store.YES, Field.Index.NOT_ANALYZED));
writer.addDocument(doc);
writer.close();
IndexReader reader = IndexReader.open(farsiIndex, true);
IndexSearcher search = newSearcher(reader);
// Unicode order would include U+0633 in [ U+062F - U+0698 ], but Farsi
// orders the U+0698 character before the U+0633 character, so the single
// index Term below should NOT be returned by a TermRangeQuery
// with a Farsi Collator (or an Arabic one for the case when Farsi is
// not supported).
Query csrq
= new TermRangeQuery("content", firstBeg, firstEnd, true, true);
ScoreDoc[] result = search.search(csrq, null, 1000).scoreDocs;
assertEquals("The index Term should not be included.", 0, result.length);
csrq = new TermRangeQuery
("content", secondBeg, secondEnd, true, true);
result = search.search(csrq, null, 1000).scoreDocs;
assertEquals("The index Term should be included.", 1, result.length);
search.close();
}
// Test using various international locales with accented characters (which
// sort differently depending on locale)
//
// Copied (and slightly modified) from
// org.apache.lucene.search.TestSort.testInternationalSort()
//
// TODO: this test is really fragile. there are already 3 different cases,
// depending upon unicode version.
public void testCollationKeySort(Analyzer usAnalyzer,
Analyzer franceAnalyzer,
Analyzer swedenAnalyzer,
Analyzer denmarkAnalyzer,
String usResult,
String frResult,
String svResult,
String dkResult) throws Exception {
RAMDirectory indexStore = new RAMDirectory();
PerFieldAnalyzerWrapper analyzer
= new PerFieldAnalyzerWrapper(new WhitespaceAnalyzer(TEST_VERSION_CURRENT));
analyzer.addAnalyzer("US", usAnalyzer);
analyzer.addAnalyzer("France", franceAnalyzer);
analyzer.addAnalyzer("Sweden", swedenAnalyzer);
analyzer.addAnalyzer("Denmark", denmarkAnalyzer);
IndexWriter writer = new IndexWriter(indexStore, new IndexWriterConfig(
TEST_VERSION_CURRENT, analyzer));
// document data:
// the tracer field is used to determine which document was hit
String[][] sortData = new String[][] {
// tracer contents US France Sweden (sv_SE) Denmark (da_DK)
{ "A", "x", "p\u00EAche", "p\u00EAche", "p\u00EAche", "p\u00EAche" },
{ "B", "y", "HAT", "HAT", "HAT", "HAT" },
{ "C", "x", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9", "p\u00E9ch\u00E9" },
{ "D", "y", "HUT", "HUT", "HUT", "HUT" },
{ "E", "x", "peach", "peach", "peach", "peach" },
{ "F", "y", "H\u00C5T", "H\u00C5T", "H\u00C5T", "H\u00C5T" },
{ "G", "x", "sin", "sin", "sin", "sin" },
{ "H", "y", "H\u00D8T", "H\u00D8T", "H\u00D8T", "H\u00D8T" },
{ "I", "x", "s\u00EDn", "s\u00EDn", "s\u00EDn", "s\u00EDn" },
{ "J", "y", "HOT", "HOT", "HOT", "HOT" },
};
for (int i = 0 ; i < sortData.length ; ++i) {
Document doc = new Document();
doc.add(new Field("tracer", sortData[i][0],
Field.Store.YES, Field.Index.NO));
doc.add(new Field("contents", sortData[i][1],
Field.Store.NO, Field.Index.ANALYZED));
if (sortData[i][2] != null)
doc.add(new Field("US", sortData[i][2],
Field.Store.NO, Field.Index.ANALYZED));
if (sortData[i][3] != null)
doc.add(new Field("France", sortData[i][3],
Field.Store.NO, Field.Index.ANALYZED));
if (sortData[i][4] != null)
doc.add(new Field("Sweden", sortData[i][4],
Field.Store.NO, Field.Index.ANALYZED));
if (sortData[i][5] != null)
doc.add(new Field("Denmark", sortData[i][5],
Field.Store.NO, Field.Index.ANALYZED));
writer.addDocument(doc);
}
writer.optimize();
writer.close();
Searcher searcher = new IndexSearcher(indexStore, true);
Sort sort = new Sort();
Query queryX = new TermQuery(new Term ("contents", "x"));
Query queryY = new TermQuery(new Term ("contents", "y"));
sort.setSort(new SortField("US", SortField.STRING));
assertMatches(searcher, queryY, sort, usResult);
sort.setSort(new SortField("France", SortField.STRING));
assertMatches(searcher, queryX, sort, frResult);
sort.setSort(new SortField("Sweden", SortField.STRING));
assertMatches(searcher, queryY, sort, svResult);
sort.setSort(new SortField("Denmark", SortField.STRING));
assertMatches(searcher, queryY, sort, dkResult);
}
// Make sure the documents returned by the search match the expected list
// Copied from TestSort.java
private void assertMatches(Searcher searcher, Query query, Sort sort,
String expectedResult) throws IOException {
ScoreDoc[] result = searcher.search(query, null, 1000, sort).scoreDocs;
StringBuilder buff = new StringBuilder(10);
int n = result.length;
for (int i = 0 ; i < n ; ++i) {
Document doc = searcher.doc(result[i].doc);
String[] v = doc.getValues("tracer");
for (int j = 0 ; j < v.length ; ++j) {
buff.append(v[j]);
}
}
assertEquals(expectedResult, buff.toString());
}
public void assertThreadSafe(final Analyzer analyzer) throws Exception {
int numTestPoints = 100;
int numThreads = _TestUtil.nextInt(random, 3, 5);
final HashMap<String,String> map = new HashMap<String,String>();
// create a map<String,SortKey> up front.
// then with multiple threads, generate sort keys for all the keys in the map
// and ensure they are the same as the ones we produced in serial fashion.
for (int i = 0; i < numTestPoints; i++) {
String term = _TestUtil.randomSimpleString(random);
TokenStream ts = analyzer.reusableTokenStream("fake", new StringReader(term));
CharTermAttribute encodedBytes = ts.addAttribute(CharTermAttribute.class);
ts.reset();
assertTrue(ts.incrementToken());
// ensure we make a copy of the actual bytes too
map.put(term, encodedBytes.toString());
}
Thread threads[] = new Thread[numThreads];
for (int i = 0; i < numThreads; i++) {
threads[i] = new Thread() {
@Override
public void run() {
try {
for (Map.Entry<String,String> mapping : map.entrySet()) {
String term = mapping.getKey();
String expected = mapping.getValue();
TokenStream ts = analyzer.reusableTokenStream("fake", new StringReader(term));
CharTermAttribute encodedBytes = ts.addAttribute(CharTermAttribute.class);
ts.reset();
assertTrue(ts.incrementToken());
assertEquals(expected, encodedBytes.toString());
}
} catch (IOException e) {
throw new RuntimeException(e);
}
}
};
}
for (int i = 0; i < numThreads; i++) {
threads[i].start();
}
for (int i = 0; i < numThreads; i++) {
threads[i].join();
}
}
}