/* * Licensed to ElasticSearch and Shay Banon under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. ElasticSearch 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.elasticsearch.index.query; import com.google.common.collect.Lists; import org.apache.lucene.analysis.Analyzer; import org.apache.lucene.search.FuzzyLikeThisQuery; import org.apache.lucene.search.Query; import org.elasticsearch.common.inject.Inject; import org.elasticsearch.common.xcontent.XContentParser; import java.io.IOException; import java.util.List; /** * <pre> * { * fuzzy_like_this : { * maxNumTerms : 12, * boost : 1.1, * fields : ["field1", "field2"] * likeText : "..." * } * } * </pre> */ public class FuzzyLikeThisQueryParser implements QueryParser { public static final String NAME = "flt"; @Inject public FuzzyLikeThisQueryParser() { } @Override public String[] names() { return new String[]{NAME, "fuzzy_like_this", "fuzzyLikeThis"}; } @Override public Query parse(QueryParseContext parseContext) throws IOException, QueryParsingException { XContentParser parser = parseContext.parser(); int maxNumTerms = 25; float boost = 1.0f; List<String> fields = null; String likeText = null; float minSimilarity = 0.5f; int prefixLength = 0; boolean ignoreTF = false; Analyzer analyzer = null; XContentParser.Token token; String currentFieldName = null; while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) { if (token == XContentParser.Token.FIELD_NAME) { currentFieldName = parser.currentName(); } else if (token.isValue()) { if ("like_text".equals(currentFieldName) || "likeText".equals(currentFieldName)) { likeText = parser.text(); } else if ("max_query_terms".equals(currentFieldName) || "maxQueryTerms".equals(currentFieldName)) { maxNumTerms = parser.intValue(); } else if ("boost".equals(currentFieldName)) { boost = parser.floatValue(); } else if ("ignore_tf".equals(currentFieldName) || "ignoreTF".equals(currentFieldName)) { ignoreTF = parser.booleanValue(); } else if ("min_similarity".equals(currentFieldName) || "minSimilarity".equals(currentFieldName)) { minSimilarity = parser.floatValue(); } else if ("prefix_length".equals(currentFieldName) || "prefixLength".equals(currentFieldName)) { prefixLength = parser.intValue(); } else if ("analyzer".equals(currentFieldName)) { analyzer = parseContext.analysisService().analyzer(parser.text()); } else { throw new QueryParsingException(parseContext.index(), "[flt] query does not support [" + currentFieldName + "]"); } } else if (token == XContentParser.Token.START_ARRAY) { if ("fields".equals(currentFieldName)) { fields = Lists.newArrayList(); while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) { fields.add(parseContext.indexName(parser.text())); } } else { throw new QueryParsingException(parseContext.index(), "[flt] query does not support [" + currentFieldName + "]"); } } } if (likeText == null) { throw new QueryParsingException(parseContext.index(), "fuzzy_like_this requires 'like_text' to be specified"); } if (analyzer == null) { analyzer = parseContext.mapperService().searchAnalyzer(); } FuzzyLikeThisQuery query = new FuzzyLikeThisQuery(maxNumTerms, analyzer); if (fields == null) { // add the default _all field query.addTerms(likeText, parseContext.defaultField(), minSimilarity, prefixLength); } else { for (String field : fields) { query.addTerms(likeText, field, minSimilarity, prefixLength); } } query.setBoost(boost); query.setIgnoreTF(ignoreTF); return query; } }