use of org.apache.lucene.search.highlight.Formatter in project elasticsearch by elastic.
the class PlainHighlighter method highlight.
@Override
public HighlightField highlight(HighlighterContext highlighterContext) {
SearchContextHighlight.Field field = highlighterContext.field;
SearchContext context = highlighterContext.context;
FetchSubPhase.HitContext hitContext = highlighterContext.hitContext;
FieldMapper mapper = highlighterContext.mapper;
Encoder encoder = field.fieldOptions().encoder().equals("html") ? HighlightUtils.Encoders.HTML : HighlightUtils.Encoders.DEFAULT;
if (!hitContext.cache().containsKey(CACHE_KEY)) {
Map<FieldMapper, org.apache.lucene.search.highlight.Highlighter> mappers = new HashMap<>();
hitContext.cache().put(CACHE_KEY, mappers);
}
@SuppressWarnings("unchecked") Map<FieldMapper, org.apache.lucene.search.highlight.Highlighter> cache = (Map<FieldMapper, org.apache.lucene.search.highlight.Highlighter>) hitContext.cache().get(CACHE_KEY);
org.apache.lucene.search.highlight.Highlighter entry = cache.get(mapper);
if (entry == null) {
QueryScorer queryScorer = new CustomQueryScorer(highlighterContext.query, field.fieldOptions().requireFieldMatch() ? mapper.fieldType().name() : null);
queryScorer.setExpandMultiTermQuery(true);
Fragmenter fragmenter;
if (field.fieldOptions().numberOfFragments() == 0) {
fragmenter = new NullFragmenter();
} else if (field.fieldOptions().fragmenter() == null) {
fragmenter = new SimpleSpanFragmenter(queryScorer, field.fieldOptions().fragmentCharSize());
} else if ("simple".equals(field.fieldOptions().fragmenter())) {
fragmenter = new SimpleFragmenter(field.fieldOptions().fragmentCharSize());
} else if ("span".equals(field.fieldOptions().fragmenter())) {
fragmenter = new SimpleSpanFragmenter(queryScorer, field.fieldOptions().fragmentCharSize());
} else {
throw new IllegalArgumentException("unknown fragmenter option [" + field.fieldOptions().fragmenter() + "] for the field [" + highlighterContext.fieldName + "]");
}
Formatter formatter = new SimpleHTMLFormatter(field.fieldOptions().preTags()[0], field.fieldOptions().postTags()[0]);
entry = new org.apache.lucene.search.highlight.Highlighter(formatter, encoder, queryScorer);
entry.setTextFragmenter(fragmenter);
// always highlight across all data
entry.setMaxDocCharsToAnalyze(Integer.MAX_VALUE);
cache.put(mapper, entry);
}
// a HACK to make highlighter do highlighting, even though its using the single frag list builder
int numberOfFragments = field.fieldOptions().numberOfFragments() == 0 ? 1 : field.fieldOptions().numberOfFragments();
ArrayList<TextFragment> fragsList = new ArrayList<>();
List<Object> textsToHighlight;
Analyzer analyzer = context.mapperService().documentMapper(hitContext.hit().getType()).mappers().indexAnalyzer();
try {
textsToHighlight = HighlightUtils.loadFieldValues(field, mapper, context, hitContext);
for (Object textToHighlight : textsToHighlight) {
String text;
if (textToHighlight instanceof BytesRef) {
text = mapper.fieldType().valueForDisplay(textToHighlight).toString();
} else {
text = textToHighlight.toString();
}
try (TokenStream tokenStream = analyzer.tokenStream(mapper.fieldType().name(), text)) {
if (!tokenStream.hasAttribute(CharTermAttribute.class) || !tokenStream.hasAttribute(OffsetAttribute.class)) {
// can't perform highlighting if the stream has no terms (binary token stream) or no offsets
continue;
}
TextFragment[] bestTextFragments = entry.getBestTextFragments(tokenStream, text, false, numberOfFragments);
for (TextFragment bestTextFragment : bestTextFragments) {
if (bestTextFragment != null && bestTextFragment.getScore() > 0) {
fragsList.add(bestTextFragment);
}
}
}
}
} catch (Exception e) {
if (ExceptionsHelper.unwrap(e, BytesRefHash.MaxBytesLengthExceededException.class) != null) {
// the plain highlighter will parse the source and try to analyze it.
return null;
} else {
throw new FetchPhaseExecutionException(context, "Failed to highlight field [" + highlighterContext.fieldName + "]", e);
}
}
if (field.fieldOptions().scoreOrdered()) {
CollectionUtil.introSort(fragsList, new Comparator<TextFragment>() {
@Override
public int compare(TextFragment o1, TextFragment o2) {
return Math.round(o2.getScore() - o1.getScore());
}
});
}
String[] fragments;
// number_of_fragments is set to 0 but we have a multivalued field
if (field.fieldOptions().numberOfFragments() == 0 && textsToHighlight.size() > 1 && fragsList.size() > 0) {
fragments = new String[fragsList.size()];
for (int i = 0; i < fragsList.size(); i++) {
fragments[i] = fragsList.get(i).toString();
}
} else {
// refine numberOfFragments if needed
numberOfFragments = fragsList.size() < numberOfFragments ? fragsList.size() : numberOfFragments;
fragments = new String[numberOfFragments];
for (int i = 0; i < fragments.length; i++) {
fragments[i] = fragsList.get(i).toString();
}
}
if (fragments.length > 0) {
return new HighlightField(highlighterContext.fieldName, Text.convertFromStringArray(fragments));
}
int noMatchSize = highlighterContext.field.fieldOptions().noMatchSize();
if (noMatchSize > 0 && textsToHighlight.size() > 0) {
// Pull an excerpt from the beginning of the string but make sure to split the string on a term boundary.
String fieldContents = textsToHighlight.get(0).toString();
int end;
try {
end = findGoodEndForNoHighlightExcerpt(noMatchSize, analyzer, mapper.fieldType().name(), fieldContents);
} catch (Exception e) {
throw new FetchPhaseExecutionException(context, "Failed to highlight field [" + highlighterContext.fieldName + "]", e);
}
if (end > 0) {
return new HighlightField(highlighterContext.fieldName, new Text[] { new Text(fieldContents.substring(0, end)) });
}
}
return null;
}
use of org.apache.lucene.search.highlight.Formatter in project epadd by ePADD.
the class Highlighter method highlight.
private static String highlight(String content, String term, String preTag, String postTag) throws IOException, ParseException, InvalidTokenOffsetsException {
// The Lucene Highlighter is used in a hacky way here, it is intended to be used to retrieve fragments from a matching Lucene document.
// The Lucene Highlighter introduces tags around every token that matched the query, hence it is required to merge these fragmented annotations into one inorder to fit our needs.
// To truly differentiate contiguous fragments that match a term supplied we add a unique id to the pretag, hence the randum instance
// TODO: Explain what is happening here
// Version lv = Indexer.LUCENE_VERSION;
// hell with reset close, stuff. initialized two analyzers to evade the problem.
// TODO: get rid of two analyzers.
Analyzer snAnalyzer, snAnalyzer2;
snAnalyzer = new EnglishNumberAnalyzer(CharArraySet.EMPTY_SET);
snAnalyzer2 = new EnglishNumberAnalyzer(CharArraySet.EMPTY_SET);
Fragmenter fragmenter = new NullFragmenter();
QueryParser qp = new MultiFieldQueryParser(new String[] { "" }, snAnalyzer2);
BooleanQuery.Builder querybuilder = new BooleanQuery.Builder();
TokenStream stream = snAnalyzer.tokenStream(null, new StringReader(content));
int r = randnum.nextInt();
String upreTag = preTag.replaceAll(">$", " data-ignore=" + r + " >");
Formatter formatter = new SimpleHTMLFormatter(upreTag, postTag);
// Parse exception may occur while parsing terms like "AND", "OR" etc.
try {
querybuilder.add(new BooleanClause(qp.parse(term), BooleanClause.Occur.SHOULD));
} catch (ParseException pe) {
if (log.isDebugEnabled())
log.debug("Exception while parsing: " + term, pe);
return content;
}
Scorer scorer = new QueryScorer(querybuilder.build());
org.apache.lucene.search.highlight.Highlighter highlighter = new org.apache.lucene.search.highlight.Highlighter(formatter, scorer);
highlighter.setTextFragmenter(fragmenter);
highlighter.setMaxDocCharsToAnalyze(Math.max(org.apache.lucene.search.highlight.Highlighter.DEFAULT_MAX_CHARS_TO_ANALYZE, content.length()));
String result = highlighter.getBestFragment(stream, content);
snAnalyzer.close();
snAnalyzer2.close();
if (result != null) {
result = mergeContiguousFragments(result, term, upreTag, postTag);
// and then remove the extra info. we appended to the tags
result = result.replaceAll(" data-ignore=" + r + " >", ">");
return result;
} else
return content;
}
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