50 lines
1.9 KiB
Java
50 lines
1.9 KiB
Java
package it.cavallium.luceneserializer.luceneserializer;
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import org.apache.lucene.index.Term;
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import org.apache.lucene.search.BooleanQuery;
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import org.apache.lucene.util.automaton.LevenshteinAutomata;
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public class FuzzyQuery implements Query {
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private final Term term;
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private final int val1;
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private final int val2;
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private final int val3;
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private final boolean bool;
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/**
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* Create a new FuzzyQuery that will match terms with an edit distance of at most
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* <code>maxEdits</code> to <code>term</code>. If a <code>prefixLength</code> > 0 is
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* specified, a common prefix of that length is also required.
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*
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* @param term the term to search for
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* @param maxEdits must be {@code >= 0} and {@code <=} {@link LevenshteinAutomata#MAXIMUM_SUPPORTED_DISTANCE}.
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* @param prefixLength length of common (non-fuzzy) prefix
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* @param maxExpansions the maximum number of terms to match. If this number is greater than
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* {@link BooleanQuery#getMaxClauseCount} when the query is rewritten, then
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* the maxClauseCount will be used instead.
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* @param transpositions true if transpositions should be treated as a primitive edit operation.
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* If this is false, comparisons will implement the classic Levenshtein
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* algorithm.
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*/
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public FuzzyQuery(Term term, int maxEdits, int prefixLength, int maxExpansions,
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boolean transpositions) {
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this.term = term;
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this.val1 = maxEdits;
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this.val2 = prefixLength;
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this.val3 = maxExpansions;
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this.bool = transpositions;
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}
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@Override
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public void stringify(StringBuilder output) {
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StringBuilder data = new StringBuilder();
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StringifyUtils.stringifyTerm(data, term);
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StringifyUtils.stringifyInt(data, val1);
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StringifyUtils.stringifyInt(data, val2);
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StringifyUtils.stringifyInt(data, val3);
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StringifyUtils.stringifyBool(data, bool);
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StringifyUtils.writeHeader(output, QueryConstructorType.FUZZY_QUERY, data);
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}
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}
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