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OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the examples which demonstrate how to use it in a normal Java application.

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/*
 * Copyright 2020 Red Hat, Inc. and/or its affiliates.
 *
 * 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.optaplanner.examples.cloudbalancing.optional.partitioner;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.commons.lang3.tuple.Pair;
import org.optaplanner.core.api.score.director.ScoreDirector;
import org.optaplanner.core.impl.partitionedsearch.partitioner.SolutionPartitioner;
import org.optaplanner.examples.cloudbalancing.domain.CloudBalance;
import org.optaplanner.examples.cloudbalancing.domain.CloudComputer;
import org.optaplanner.examples.cloudbalancing.domain.CloudProcess;

public class CloudBalancePartitioner implements SolutionPartitioner {

    private int partCount = 4;
    private int minimumProcessListSize = 25;

    @SuppressWarnings("unused")
    public void setPartCount(int partCount) {
        this.partCount = partCount;
    }

    @SuppressWarnings("unused")
    public void setMinimumProcessListSize(int minimumProcessListSize) {
        this.minimumProcessListSize = minimumProcessListSize;
    }

    @Override
    public List splitWorkingSolution(ScoreDirector scoreDirector, Integer runnablePartThreadLimit) {
        CloudBalance originalSolution = scoreDirector.getWorkingSolution();
        List originalComputerList = originalSolution.getComputerList();
        List originalProcessList = originalSolution.getProcessList();
        int partCount = this.partCount;
        if (originalProcessList.size() / partCount < minimumProcessListSize) {
            partCount = originalProcessList.size() / minimumProcessListSize;
        }
        List partList = new ArrayList<>(partCount);
        for (int i = 0; i < partCount; i++) {
            CloudBalance partSolution = new CloudBalance(originalSolution.getId(),
                    new ArrayList<>(originalComputerList.size() / partCount + 1),
                    new ArrayList<>(originalProcessList.size() / partCount + 1));
            partList.add(partSolution);
        }

        int partIndex = 0;
        Map> idToPartIndexAndComputerMap = new HashMap<>(originalComputerList.size());
        for (CloudComputer originalComputer : originalComputerList) {
            CloudBalance part = partList.get(partIndex);
            CloudComputer computer = new CloudComputer(
                    originalComputer.getId(),
                    originalComputer.getCpuPower(), originalComputer.getMemory(),
                    originalComputer.getNetworkBandwidth(), originalComputer.getCost());
            part.getComputerList().add(computer);
            idToPartIndexAndComputerMap.put(computer.getId(), Pair.of(partIndex, computer));
            partIndex = (partIndex + 1) % partList.size();
        }

        partIndex = 0;
        for (CloudProcess originalProcess : originalProcessList) {
            CloudBalance part = partList.get(partIndex);
            CloudProcess process = new CloudProcess(
                    originalProcess.getId(),
                    originalProcess.getRequiredCpuPower(), originalProcess.getRequiredMemory(),
                    originalProcess.getRequiredNetworkBandwidth());
            part.getProcessList().add(process);
            if (originalProcess.getComputer() != null) {
                Pair partIndexAndComputer = idToPartIndexAndComputerMap.get(
                        originalProcess.getComputer().getId());
                if (partIndexAndComputer == null) {
                    throw new IllegalStateException("The initialized process (" + originalProcess
                            + ") has a computer (" + originalProcess.getComputer()
                            + ") which doesn't exist in the originalSolution (" + originalSolution + ").");
                }
                if (partIndex != partIndexAndComputer.getLeft().intValue()) {
                    throw new IllegalStateException("The initialized process (" + originalProcess
                            + ") with partIndex (" + partIndex
                            + ") has a computer (" + originalProcess.getComputer()
                            + ") which belongs to another partIndex (" + partIndexAndComputer.getLeft() + ").");
                }
                process.setComputer(partIndexAndComputer.getRight());
            }
            partIndex = (partIndex + 1) % partList.size();
        }
        return partList;
    }

}