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/*
 * Licensed to Elastic Search and Shay Banon under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership. Elastic Search 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.xcontent;

import org.elasticsearch.index.query.QueryBuilderException;
import org.elasticsearch.util.xcontent.builder.XContentBuilder;

import java.io.IOException;

/**
 * A more like this query that finds documents that are "like" the provided {@link #likeText(String)}
 * which is checked against the fields the query is constructed with.
 *
 * @author kimchy (shay.banon)
 */
public class MoreLikeThisQueryBuilder extends BaseQueryBuilder {

    private final String[] fields;

    private String likeText;
    private float percentTermsToMatch = -1;
    private int minTermFreq = -1;
    private int maxQueryTerms = -1;
    private String[] stopWords = null;
    private int minDocFreq = -1;
    private int maxDocFreq = -1;
    private int minWordLen = -1;
    private int maxWordLen = -1;
    private float boostTerms = -1;
    private float boost = -1;

    /**
     * Constructs a new more like this query which uses the "_all" field.
     */
    public MoreLikeThisQueryBuilder() {
        this.fields = null;
    }

    /**
     * Sets the field names that will be used when generating the 'More Like This' query.
     *
     * @param fields the field names that will be used when generating the 'More Like This' query.
     */
    public MoreLikeThisQueryBuilder(String... fields) {
        this.fields = fields;
    }

    /**
     * The text to use in order to find documents that are "like" this.
     */
    public MoreLikeThisQueryBuilder likeText(String likeText) {
        this.likeText = likeText;
        return this;
    }

    /**
     * The percentage of terms to match. Defaults to 0.3.
     */
    public MoreLikeThisQueryBuilder percentTermsToMatch(float percentTermsToMatch) {
        this.percentTermsToMatch = percentTermsToMatch;
        return this;
    }

    /**
     * The frequency below which terms will be ignored in the source doc. The default
     * frequency is 2.
     */
    public MoreLikeThisQueryBuilder minTermFreq(int minTermFreq) {
        this.minTermFreq = minTermFreq;
        return this;
    }

    /**
     * Sets the maximum number of query terms that will be included in any generated query.
     * Defaults to 25.
     */
    public MoreLikeThisQueryBuilder maxQueryTerms(int maxQueryTerms) {
        this.maxQueryTerms = maxQueryTerms;
        return this;
    }

    /**
     * Set the set of stopwords.
     *
     * 

Any word in this set is considered "uninteresting" and ignored. Even if your Analyzer allows stopwords, you * might want to tell the MoreLikeThis code to ignore them, as for the purposes of document similarity it seems * reasonable to assume that "a stop word is never interesting". */ public MoreLikeThisQueryBuilder stopWords(String... stopWords) { this.stopWords = stopWords; return this; } /** * Sets the frequency at which words will be ignored which do not occur in at least this * many docs. Defaults to 5. */ public MoreLikeThisQueryBuilder minDocFreq(int minDocFreq) { this.minDocFreq = minDocFreq; return this; } /** * Set the maximum frequency in which words may still appear. Words that appear * in more than this many docs will be ignored. Defaults to unbounded. */ public MoreLikeThisQueryBuilder maxDocFreq(int maxDocFreq) { this.maxDocFreq = maxDocFreq; return this; } /** * Sets the minimum word length below which words will be ignored. Defaults * to 0. */ public MoreLikeThisQueryBuilder minWordLen(int minWordLen) { this.minWordLen = minWordLen; return this; } /** * Sets the maximum word length above which words will be ignored. Defaults to * unbounded (0). */ public MoreLikeThisQueryBuilder maxWordLen(int maxWordLen) { this.maxWordLen = maxWordLen; return this; } /** * Sets the boost factor to use when boosting terms. Defaults to 1. */ public MoreLikeThisQueryBuilder boostTerms(float boostTerms) { this.boostTerms = boostTerms; return this; } public MoreLikeThisQueryBuilder boost(float boost) { this.boost = boost; return this; } @Override protected void doXContent(XContentBuilder builder, Params params) throws IOException { builder.startObject(MoreLikeThisQueryParser.NAME); if (fields != null) { builder.startArray("fields"); for (String field : fields) { builder.value(field); } builder.endArray(); } if (likeText == null) { throw new QueryBuilderException("moreLikeThis requires 'likeText' to be provided"); } builder.field("like_text", likeText); if (percentTermsToMatch != -1) { builder.field("percent_terms_to_match", percentTermsToMatch); } if (minTermFreq != -1) { builder.field("min_term_freq", minTermFreq); } if (maxQueryTerms != -1) { builder.field("max_query_terms", maxQueryTerms); } if (stopWords != null && stopWords.length > 0) { builder.startArray("stop_words"); for (String stopWord : stopWords) { builder.value(stopWord); } builder.endArray(); } if (minDocFreq != -1) { builder.field("min_doc_freq", minDocFreq); } if (maxDocFreq != -1) { builder.field("max_doc_freq", maxDocFreq); } if (minWordLen != -1) { builder.field("min_word_len", minWordLen); } if (maxWordLen != -1) { builder.field("max_word_len", maxWordLen); } if (boostTerms != -1) { builder.field("boost_terms", boostTerms); } if (boost != -1) { builder.field("boost", boost); } builder.endObject(); } }





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