/*
* Licensed to Elasticsearch 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.benchmark.scripts.score.script;
import org.elasticsearch.common.Nullable;
import org.elasticsearch.script.AbstractSearchScript;
import org.elasticsearch.script.ExecutableScript;
import org.elasticsearch.script.NativeScriptFactory;
import org.elasticsearch.search.lookup.IndexFieldTerm;
import org.elasticsearch.search.lookup.IndexField;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Map;
public class NativeNaiveTFIDFScoreScript extends AbstractSearchScript {
public static final String NATIVE_NAIVE_TFIDF_SCRIPT_SCORE = "native_naive_tfidf_script_score";
String field = null;
String[] terms = null;
public static class Factory implements NativeScriptFactory {
@Override
public ExecutableScript newScript(@Nullable Map<String, Object> params) {
return new NativeNaiveTFIDFScoreScript(params);
}
}
private NativeNaiveTFIDFScoreScript(Map<String, Object> params) {
params.entrySet();
terms = new String[params.size()];
field = params.keySet().iterator().next();
Object o = params.get(field);
ArrayList<String> arrayList = (ArrayList<String>) o;
terms = arrayList.toArray(new String[arrayList.size()]);
}
@Override
public Object run() {
float score = 0;
IndexField indexField = indexLookup().get(field);
for (int i = 0; i < terms.length; i++) {
IndexFieldTerm indexFieldTerm = indexField.get(terms[i]);
try {
if (indexFieldTerm.tf() != 0) {
score += indexFieldTerm.tf() * indexField.docCount() / indexFieldTerm.df();
}
} catch (IOException e) {
throw new RuntimeException();
}
}
return score;
}
}