/*
* Copyright (C) 2015 Information Retrieval Group at Universidad Autónoma
* de Madrid, http://ir.ii.uam.es
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*/
package es.uam.eps.ir.ranksys.rec.runner;
import es.uam.eps.ir.ranksys.core.Recommendation;
import java.util.List;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.logging.Logger;
import java.util.stream.Collectors;
import java.util.stream.Stream;
/**
* Generic recommender runner. This class handles the print of the output.
*
* @author Saúl Vargas (saul.vargas@uam.es)
*
* @param <U> type of the users
* @param <I> type of the items
*/
public abstract class AbstractRecommenderRunner<U, I> implements RecommenderRunner<U, I> {
private static final Logger LOG = Logger.getLogger(AbstractRecommenderRunner.class.getName());
private final List<U> users;
/**
* Constructor.
*
* @param users target users for which recommendations are generated
*/
public AbstractRecommenderRunner(Stream<U> users) {
this.users = users.sorted().collect(Collectors.toList());
}
/**
* Prints the recommendations.
*
* @param recProvider function that provides the recommendations by calling a recommender
* @param consumer recommendation consumer
*/
protected void run(Function<U, Recommendation<U, I>> recProvider, Consumer<Recommendation<U, I>> consumer) {
users.parallelStream().forEach(user -> consumer.accept(recProvider.apply(user)));
}
}