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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 2010 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.scrabble.solver;
    dialect "java"

import org.optaplanner.core.api.score.buildin.hardmediumsoft.HardMediumSoftScoreHolder;

import org.optaplanner.examples.scrabble.domain.ScrabbleWordDirection;
import org.optaplanner.examples.scrabble.domain.ScrabbleCell;
import org.optaplanner.examples.scrabble.domain.ScrabbleSolution;
import org.optaplanner.examples.scrabble.domain.ScrabbleWordAssignment;

global HardMediumSoftScoreHolder scoreHolder;

// ############################################################################
// Hard constraints
// ############################################################################

rule "Character confict"
    when
        ScrabbleCell(characterSet.size() >= 2, $size : characterSet.size())
    then
        scoreHolder.addHardConstraintMatch(kcontext, 1 - $size);
end

rule "No parallel horizontal neighbours"
    when
        ScrabbleCell(hasWordSet(ScrabbleWordDirection.HORIZONTAL), $x : x, $y : y)
        ScrabbleCell(x == $x, y == $y + 1, hasWordSet(ScrabbleWordDirection.HORIZONTAL))
    then
        scoreHolder.addHardConstraintMatch(kcontext, -1); // TODO score trap
end

rule "No parallel vertical neighbours"
    when
        ScrabbleCell(hasWordSet(ScrabbleWordDirection.VERTICAL), $x : x, $y : y)
        ScrabbleCell(x == $x + 1, y == $y, hasWordSet(ScrabbleWordDirection.VERTICAL))
    then
        scoreHolder.addHardConstraintMatch(kcontext, -1); // TODO score trap
end

//rule "No parallel horizontal neighbours"
//    when
//        // TODO check overlap
//        ScrabbleWordAssignment(direction == ScrabbleWordDirection.HORIZONTAL, $leftY : startCell.y)
//        ScrabbleWordAssignment(direction == ScrabbleWordDirection.HORIZONTAL, startCell.y + 1 == $leftY)
//    then
//        scoreHolder.addHardConstraintMatch(kcontext, -1); // TODO score trap
//end
//
//rule "No parallel vertical neighbours"
//    when
//        // TODO check overlap
//        ScrabbleWordAssignment(direction == ScrabbleWordDirection.VERTICAL, $leftX : startCell.x)
//        ScrabbleWordAssignment(direction == ScrabbleWordDirection.VERTICAL, startCell.x + 1 == $leftX)
//    then
//        scoreHolder.addHardConstraintMatch(kcontext, -1); // TODO score trap
//end

rule "Out of grid"
    when
        ScrabbleWordAssignment(isOutOfGrid() == true, $wordLength : word.length())
    then
        scoreHolder.addHardConstraintMatch(kcontext, - $wordLength);
end

// ############################################################################
// Medium constraints
// ############################################################################

//rule "Maximize merges"
//    when
//        ScrabbleCell(hasMerge() == true)
//    then
//        scoreHolder.addMediumConstraintMatch(kcontext, 1);
//end

rule "Maximize merges per word"
    when
        $w : ScrabbleWordAssignment()
        accumulate(
            $c : ScrabbleCell(wordSet.contains($w), hasMerge() == true);
            $total : count($c)
        )
    then
        scoreHolder.addMediumConstraintMatch(kcontext, $total.intValue() * $total.intValue());
end

// ############################################################################
// Soft constraints
// ############################################################################

rule "Pull to the center"
    when
        ScrabbleWordAssignment($d : distanceToCenter)
    then
        scoreHolder.addSoftConstraintMatch(kcontext, - $d);
end