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/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed 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.deeplearning4j.scaleout.statetracker.hazelcast;

import org.deeplearning4j.scaleout.aggregator.JobAggregator;
import org.deeplearning4j.scaleout.job.Job;

import org.deeplearning4j.scaleout.api.statetracker.IterateAndUpdate;
import org.deeplearning4j.scaleout.api.statetracker.UpdateSaver;

import java.util.Collection;

/**
 * This takes in the accumulator, the update saver, and the ids of
 * the workers and handles iterating and loading over each one of them at a time.
 * @author  Adam Gibson
 */
public class IterateAndUpdateImpl implements IterateAndUpdate {


    private JobAggregator accumulator;
    private UpdateSaver updateSaver;
    private Collection ids;


    public IterateAndUpdateImpl(JobAggregator accumulator, UpdateSaver updateSaver, Collection ids) {
        this.accumulator = accumulator;
        this.updateSaver = updateSaver;
        this.ids = ids;
    }

    /**
     * The accumulated result
     *
     * @return the accumulated result
     */
    @Override
    public Job accumulated() {
        return accumulator.aggregate();
    }

    @Override
    public void accumulate() throws Exception {
        for(String s : ids) {
            Job j = updateSaver.load(s);
            if(j == null)
                continue;
            accumulator.accumulate(j);
        }
    }


}




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