org.codelibs.elasticsearch.search.suggest.phrase.PhraseSuggester Maven / Gradle / Ivy
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package org.codelibs.elasticsearch.search.suggest.phrase;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.CharsRefBuilder;
import org.codelibs.elasticsearch.common.io.stream.StreamInput;
import org.codelibs.elasticsearch.common.text.Text;
import org.codelibs.elasticsearch.index.query.QueryParseContext;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry.Option;
import org.codelibs.elasticsearch.search.suggest.Suggester;
import org.codelibs.elasticsearch.search.suggest.SuggestionBuilder;
import org.codelibs.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
import java.io.IOException;
public final class PhraseSuggester extends Suggester {
private final BytesRef SEPARATOR = new BytesRef(" ");
public static final PhraseSuggester INSTANCE = new PhraseSuggester();
private PhraseSuggester() {}
/*
* More Ideas:
* - add ability to find whitespace problems -> we can build a poor mans decompounder with our index based on a automaton?
* - add ability to build different error models maybe based on a confusion matrix?
* - try to combine a token with its subsequent token to find / detect word splits (optional)
* - for this to work we need some way to defined the position length of a candidate
* - phonetic filters could be interesting here too for candidate selection
*/
@Override
public Suggestion extends Entry extends Option>> innerExecute(String name, PhraseSuggestionContext suggestion,
IndexSearcher searcher, CharsRefBuilder spare) throws IOException {
throw new UnsupportedOperationException("querybuilders does not support this operation.");
}
@Override
public SuggestionBuilder> innerFromXContent(QueryParseContext context) throws IOException {
return PhraseSuggestionBuilder.innerFromXContent(context);
}
@Override
public SuggestionBuilder> read(StreamInput in) throws IOException {
return new PhraseSuggestionBuilder(in);
}
}
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