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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF 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.apache.solr.search.similarities;

import org.apache.lucene.search.similarities.Distribution;
import org.apache.lucene.search.similarities.DistributionLL;
import org.apache.lucene.search.similarities.DistributionSPL;
import org.apache.lucene.search.similarities.IBSimilarity;
import org.apache.lucene.search.similarities.Lambda;
import org.apache.lucene.search.similarities.LambdaDF;
import org.apache.lucene.search.similarities.LambdaTTF;
import org.apache.lucene.search.similarities.Normalization;
import org.apache.lucene.search.similarities.Similarity;
import org.apache.solr.common.params.SolrParams;
import org.apache.solr.schema.SimilarityFactory;

/**
 * Factory for {@link IBSimilarity}
 *
 * You must specify the implementations for all three components of the Information-Based model
 * (strings).
 *
 * 

 *   {@link Distribution distribution}: Probabilistic distribution used to model term occurrence
 *       
 *         {@link DistributionLL LL}: Log-logistic
 *         
{@link DistributionLL SPL}: Smoothed power-law
 *       
 *   
{@link Lambda lambda}: λ_w parameter of the probability distribution
 *       
 *         {@link LambdaDF DF}: N_w/N or average number of documents
 *             where w occurs
 *         
{@link LambdaTTF TTF}: F_w/N or average number of occurrences
 *             of w in the collection
 *       
 *   
{@link Normalization normalization}: Term frequency normalization
 *       
 *       Any supported DFR normalization listed in {@link DFRSimilarityFactory}
 *       
 * 
 *
 * Optional settings:
 *
 * 

 *   discountOverlaps (bool): Sets {@link IBSimilarity#setDiscountOverlaps(boolean)}
 * 
 *
 * @lucene.experimental
 */
public class IBSimilarityFactory extends SimilarityFactory {
  private boolean discountOverlaps;
  private Distribution distribution;
  private Lambda lambda;
  private Normalization normalization;

  @Override
  public void init(SolrParams params) {
    super.init(params);
    discountOverlaps = params.getBool("discountOverlaps", true);
    distribution = parseDistribution(params.get("distribution"));
    lambda = parseLambda(params.get("lambda"));
    normalization =
        DFRSimilarityFactory.parseNormalization(
            params.get("normalization"), params.get("c"), params.get("mu"), params.get("z"));
  }

  private Distribution parseDistribution(String expr) {
    if ("LL".equals(expr)) {
      return new DistributionLL();
    } else if ("SPL".equals(expr)) {
      return new DistributionSPL();
    } else {
      throw new RuntimeException("Invalid distribution: " + expr);
    }
  }

  private Lambda parseLambda(String expr) {
    if ("DF".equals(expr)) {
      return new LambdaDF();
    } else if ("TTF".equals(expr)) {
      return new LambdaTTF();
    } else {
      throw new RuntimeException("Invalid lambda: " + expr);
    }
  }

  @Override
  public Similarity getSimilarity() {
    IBSimilarity sim = new IBSimilarity(distribution, lambda, normalization);
    sim.setDiscountOverlaps(discountOverlaps);
    return sim;
  }
}