Package org.optaplanner.core.api.score.buildin.hardsoftlong

Class HardSoftLongScoreHolder

java.lang.Object

org.optaplanner.core.api.score.holder.AbstractScoreHolder<HardSoftLongScore>

org.optaplanner.core.api.score.buildin.hardsoftlong.HardSoftLongScoreHolder

All Implemented Interfaces:

Serializable, ScoreHolder<HardSoftLongScore>

public class HardSoftLongScoreHolder
extends AbstractScoreHolder<HardSoftLongScore>

See Also:

HardSoftLongScore, Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.optaplanner.core.api.score.holder.AbstractScoreHolder

AbstractScoreHolder.ConstraintActivationUnMatchListener

Field Summary

Fields

Modifier and Type	Field	Description
protected long	hardScore
protected Map<org.kie.api.definition.rule.Rule,BiConsumer<org.kie.api.runtime.rule.RuleContext,Long>>	matchExecutorByNumberMap
protected Map<org.kie.api.definition.rule.Rule,BiConsumer<org.kie.api.runtime.rule.RuleContext,HardSoftLongScore>>	matchExecutorByScoreMap	Slower than matchExecutorByNumberMap
protected long	softScore

Fields inherited from class org.optaplanner.core.api.score.holder.AbstractScoreHolder

constraintMatchEnabled, constraintMatchTotalMap, indictmentMap, zeroScore

Constructor Summary

Constructors

Constructor	Description
HardSoftLongScoreHolder(boolean constraintMatchEnabled)

Method Summary

Modifier and Type	Method	Description
void	addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight)
void	addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeight, long softWeight)
void	addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, long softWeight)
void	configureConstraintWeight(org.kie.api.definition.rule.Rule rule, HardSoftLongScore constraintWeight)	Sets up a ConstraintWeight from the ConstraintConfiguration during initialization.
HardSoftLongScore	extractScore(int initScore)	Extracts the Score, calculated by the KieSession for DroolsScoreDirector.
long	getHardScore()
long	getSoftScore()
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext)	For internal use only, use penalize() or reward() instead.
void	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	For internal use only, use penalize() or reward() instead.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext)	Penalize a match by the ConstraintWeight negated.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	Penalize a match by the ConstraintWeight negated and multiplied with the weightMultiplier for all score levels.
void	penalize(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long softWeightMultiplier)	Penalize a match by the ConstraintWeight negated and multiplied with the specific weightMultiplier per score level.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext)	Reward a match by the ConstraintWeight.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, long weightMultiplier)	Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, long hardWeightMultiplier, long softWeightMultiplier)	Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level.

Methods inherited from class org.optaplanner.core.api.score.holder.AbstractScoreHolder

extractJustificationList, getConstraintMatchTotalMap, getConstraintMatchTotals, getIndictmentMap, impactScore, impactScore, isConstraintMatchEnabled, registerConstraintMatch, setJustificationListConverter

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

matchExecutorByNumberMap

protected final Map<org.kie.api.definition.rule.Rule,BiConsumer<org.kie.api.runtime.rule.RuleContext,Long>> matchExecutorByNumberMap

matchExecutorByScoreMap

protected final Map<org.kie.api.definition.rule.Rule,BiConsumer<org.kie.api.runtime.rule.RuleContext,HardSoftLongScore>> matchExecutorByScoreMap

Slower than matchExecutorByNumberMap

hardScore

protected long hardScore

softScore

protected long softScore

Constructor Detail

HardSoftLongScoreHolder

public HardSoftLongScoreHolder(boolean constraintMatchEnabled)

Method Detail

getHardScore

public long getHardScore()

getSoftScore

public long getSoftScore()

configureConstraintWeight

public void configureConstraintWeight(org.kie.api.definition.rule.Rule rule,
                                      HardSoftLongScore constraintWeight)

Description copied from interface: ScoreHolder

Sets up a ConstraintWeight from the ConstraintConfiguration during initialization.

Specified by:

configureConstraintWeight in interface ScoreHolder<HardSoftLongScore>

Overrides:

configureConstraintWeight in class AbstractScoreHolder<HardSoftLongScore>

Parameters:

rule - never null

constraintWeight - never null, with Score.getInitScore() equal to 0.

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext)

Penalize a match by the ConstraintWeight negated.

Parameters:

kcontext - never null, the magic variable in DRL

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext,
                     long weightMultiplier)

Penalize a match by the ConstraintWeight negated and multiplied with the weightMultiplier for all score levels.

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

penalize

public void penalize(org.kie.api.runtime.rule.RuleContext kcontext,
                     long hardWeightMultiplier,
                     long softWeightMultiplier)

Penalize a match by the ConstraintWeight negated and multiplied with the specific weightMultiplier per score level. Slower than penalize(RuleContext, long).

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightMultiplier - at least 0

softWeightMultiplier - at least 0

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext)

Reward a match by the ConstraintWeight.

Parameters:

kcontext - never null, the magic variable in DRL

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext,
                   long weightMultiplier)

Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

reward

public void reward(org.kie.api.runtime.rule.RuleContext kcontext,
                   long hardWeightMultiplier,
                   long softWeightMultiplier)

Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level. Slower than reward(RuleContext, long).

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightMultiplier - at least 0

softWeightMultiplier - at least 0

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Overrides:

impactScore in class AbstractScoreHolder<HardSoftLongScore>

Parameters:

kcontext - never null

impactScore

public void impactScore(org.kie.api.runtime.rule.RuleContext kcontext,
                        long weightMultiplier)

Description copied from class: AbstractScoreHolder

For internal use only, use penalize() or reward() instead.

Overrides:

impactScore in class AbstractScoreHolder<HardSoftLongScore>

Parameters:

kcontext - never null

weightMultiplier - any

addHardConstraintMatch

public void addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                   long hardWeight)

Parameters:

kcontext - never null, the magic variable in DRL

hardWeight - higher is better, negative for a penalty, positive for a reward

addSoftConstraintMatch

public void addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                   long softWeight)

Parameters:

kcontext - never null, the magic variable in DRL

softWeight - higher is better, negative for a penalty, positive for a reward

addMultiConstraintMatch

public void addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
                                    long hardWeight,
                                    long softWeight)

Parameters:

kcontext - never null, the magic variable in DRL

softWeight - higher is better, negative for a penalty, positive for a reward

extractScore

public HardSoftLongScore extractScore(int initScore)

Description copied from interface: ScoreHolder

Extracts the Score, calculated by the KieSession for DroolsScoreDirector.

Should not be called directly, use ScoreDirector.calculateScore() instead.

Parameters:

initScore - <= 0, managed by OptaPlanner, needed as a parameter in the Score's creation method, see Score.getInitScore()

Returns:

never null, the Score of the working PlanningSolution