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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.taskassigning.domain;

import java.util.List;

import org.optaplanner.core.api.domain.solution.PlanningEntityCollectionProperty;
import org.optaplanner.core.api.domain.solution.PlanningScore;
import org.optaplanner.core.api.domain.solution.PlanningSolution;
import org.optaplanner.core.api.domain.solution.ProblemFactCollectionProperty;
import org.optaplanner.core.api.domain.valuerange.ValueRangeProvider;
import org.optaplanner.core.api.score.buildin.bendable.BendableScore;
import org.optaplanner.examples.common.domain.AbstractPersistable;
import org.optaplanner.persistence.xstream.api.score.buildin.bendable.BendableScoreXStreamConverter;

import com.thoughtworks.xstream.annotations.XStreamAlias;
import com.thoughtworks.xstream.annotations.XStreamConverter;

@PlanningSolution
@XStreamAlias("TaTaskAssigningSolution")
public class TaskAssigningSolution extends AbstractPersistable {

    @ProblemFactCollectionProperty
    private List skillList;
    @ProblemFactCollectionProperty
    private List taskTypeList;
    @ProblemFactCollectionProperty
    private List customerList;
    @ValueRangeProvider(id = "employeeRange")
    @ProblemFactCollectionProperty
    private List employeeList;

    @PlanningEntityCollectionProperty
    @ValueRangeProvider(id = "taskRange")
    private List taskList;

    @XStreamConverter(BendableScoreXStreamConverter.class)
    @PlanningScore(bendableHardLevelsSize = 1, bendableSoftLevelsSize = 4)
    private BendableScore score;

    /** Relates to {@link Task#getStartTime()}. */
    private int frozenCutoff; // In minutes

    public TaskAssigningSolution() {
    }

    public TaskAssigningSolution(long id, List skillList, List taskTypeList,
            List customerList, List employeeList, List taskList) {
        super(id);
        this.skillList = skillList;
        this.taskTypeList = taskTypeList;
        this.customerList = customerList;
        this.employeeList = employeeList;
        this.taskList = taskList;
    }

    public List getSkillList() {
        return skillList;
    }

    public void setSkillList(List skillList) {
        this.skillList = skillList;
    }

    public List getTaskTypeList() {
        return taskTypeList;
    }

    public void setTaskTypeList(List taskTypeList) {
        this.taskTypeList = taskTypeList;
    }

    public List getCustomerList() {
        return customerList;
    }

    public void setCustomerList(List customerList) {
        this.customerList = customerList;
    }

    public List getEmployeeList() {
        return employeeList;
    }

    public void setEmployeeList(List employeeList) {
        this.employeeList = employeeList;
    }

    public List getTaskList() {
        return taskList;
    }

    public void setTaskList(List taskList) {
        this.taskList = taskList;
    }

    public BendableScore getScore() {
        return score;
    }

    public void setScore(BendableScore score) {
        this.score = score;
    }

    public int getFrozenCutoff() {
        return frozenCutoff;
    }

    public void setFrozenCutoff(int frozenCutoff) {
        this.frozenCutoff = frozenCutoff;
    }

    // ************************************************************************
    // Complex methods
    // ************************************************************************

}