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Apache Lucene (module: highlighter)
/*
* 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.
*/
package org.apache.lucene.search.uhighlight;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.FilteringTokenFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.tokenattributes.CharTermAttribute;
import org.apache.lucene.index.LeafReader;
import org.apache.lucene.index.memory.MemoryIndex;
import org.apache.lucene.queries.spans.SpanQuery;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.automaton.Automata;
/**
* Uses an {@link Analyzer} on content to get offsets and then populates a {@link MemoryIndex}.
*
* @lucene.internal
*/
public class MemoryIndexOffsetStrategy extends AnalysisOffsetStrategy {
private final MemoryIndex memoryIndex;
private final LeafReader memIndexLeafReader;
private final CharArrayMatcher preMemIndexFilterAutomaton;
public MemoryIndexOffsetStrategy(UHComponents components, Analyzer analyzer) {
super(components, analyzer);
boolean storePayloads =
components.getPhraseHelper().hasPositionSensitivity(); // might be needed
memoryIndex = new MemoryIndex(true, storePayloads); // true==store offsets
memIndexLeafReader =
(LeafReader) memoryIndex.createSearcher().getIndexReader(); // appears to be re-usable
// preFilter for MemoryIndex
preMemIndexFilterAutomaton = buildCombinedAutomaton(components);
}
/** Build one {@link CharArrayMatcher} matching any term the query might match. */
private static CharArrayMatcher buildCombinedAutomaton(UHComponents components) {
// We don't know enough about the query to do this confidently
if (components.getTerms() == null || components.getAutomata() == null) {
return null;
}
List allAutomata = new ArrayList<>();
if (components.getTerms().length > 0) {
// Filter out any long terms that would otherwise cause exceptions if we tried
// to build an automaton on them
List filteredTerms =
Arrays.stream(components.getTerms())
.filter(b -> b.length < Automata.MAX_STRING_UNION_TERM_LENGTH)
.collect(Collectors.toList());
allAutomata.add(CharArrayMatcher.fromTerms(filteredTerms));
}
Collections.addAll(allAutomata, components.getAutomata());
for (SpanQuery spanQuery : components.getPhraseHelper().getSpanQueries()) {
Collections.addAll(
allAutomata,
MultiTermHighlighting.extractAutomata(
spanQuery, components.getFieldMatcher(), true)); // true==lookInSpan
}
if (allAutomata.size() == 1) {
return allAutomata.get(0);
}
// TODO it'd be nice if we could get at the underlying Automaton in CharacterRunAutomaton so
// that we
// could union them all. But it's not exposed, and sometimes the automaton is byte (not char)
// oriented
// Return an aggregate CharArrayMatcher of others
return (chars, offset, length) -> {
for (int i = 0; i < allAutomata.size(); i++) {
// don't use foreach to avoid Iterator allocation
if (allAutomata.get(i).match(chars, offset, length)) {
return true;
}
}
return false;
};
}
@Override
public OffsetsEnum getOffsetsEnum(LeafReader reader, int docId, String content)
throws IOException {
// note: don't need LimitTokenOffsetFilter since content is already truncated to maxLength
TokenStream tokenStream = tokenStream(content);
// Filter the tokenStream to applicable terms
if (preMemIndexFilterAutomaton != null) {
tokenStream = newKeepWordFilter(tokenStream, preMemIndexFilterAutomaton);
}
memoryIndex.reset();
memoryIndex.addField(getField(), tokenStream); // note: calls tokenStream.reset() & close()
if (reader == null) {
return createOffsetsEnumFromReader(memIndexLeafReader, 0);
} else {
return createOffsetsEnumFromReader(
new OverlaySingleDocTermsLeafReader(reader, memIndexLeafReader, getField(), docId),
docId);
}
}
private static FilteringTokenFilter newKeepWordFilter(
final TokenStream tokenStream, final CharArrayMatcher matcher) {
// it'd be nice to use KeepWordFilter but it demands a CharArraySet. TODO File JIRA? Need a new
// interface?
return new FilteringTokenFilter(tokenStream) {
final CharTermAttribute charAtt = addAttribute(CharTermAttribute.class);
@Override
protected boolean accept() throws IOException {
return matcher.match(charAtt.buffer(), 0, charAtt.length());
}
};
}
}