public class BendableScoreHolder extends AbstractScoreHolder
BendableScore,
Serialized FormAbstractScoreHolder.BigDecimalConstraintUndoListener, AbstractScoreHolder.ConstraintUndoListener, AbstractScoreHolder.DoubleConstraintUndoListener, AbstractScoreHolder.IntConstraintUndoListener, AbstractScoreHolder.LongConstraintUndoListenerconstraintMatchEnabled, constraintMatchTotalMap| Constructor and Description |
|---|
BendableScoreHolder(boolean constraintMatchEnabled,
int hardLevelsSize,
int softLevelsSize) |
| Modifier and Type | Method and Description |
|---|---|
void |
addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
int hardLevel,
int weight) |
void |
addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
int softLevel,
int weight) |
Score |
extractScore(int initScore)
|
int |
getHardLevelsSize() |
int |
getHardScore(int hardLevel) |
int |
getSoftLevelsSize() |
int |
getSoftScore(int softLevel) |
getConstraintMatchTotals, isConstraintMatchEnabled, registerBigDecimalConstraintMatch, registerDoubleConstraintMatch, registerIntConstraintMatch, registerLongConstraintMatchpublic BendableScoreHolder(boolean constraintMatchEnabled,
int hardLevelsSize,
int softLevelsSize)
public int getHardLevelsSize()
public int getHardScore(int hardLevel)
public int getSoftLevelsSize()
public int getSoftScore(int softLevel)
public void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
int hardLevel,
int weight)
kcontext - never null, the magic variable in DRLhardLevel - 0 <= hardLevel < getHardLevelsSize().
The scoreLevel is hardLevel for hard levels and softLevel + hardLevelSize for soft levels.weight - higher is better, negative for a penalty, positive for a rewardpublic void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
int softLevel,
int weight)
kcontext - never null, the magic variable in DRLsoftLevel - 0 <= softLevel < getSoftLevelsSize().
The scoreLevel is hardLevel for hard levels and softLevel + hardLevelSize for soft levels.weight - higher is better, negative for a penalty, positive for a rewardpublic Score extractScore(int initScore)
ScoreHolderScore, calculated by the KieSession for DroolsScoreDirector.
Should not be called directly, use ScoreDirector.calculateScore() instead.
initScore - <= 0, managed by OptaPlanner, needed as a parameter in the Score's creation
method, see Score.getInitScore()Score of the working PlanningSolutionCopyright © 2006–2016 JBoss by Red Hat. All rights reserved.