Package org.optaplanner.constraint.drl.holder

Class HardMediumSoftBigDecimalScoreHolderImpl

java.lang.Object

org.optaplanner.constraint.drl.holder.AbstractScoreHolder<HardMediumSoftBigDecimalScore>

org.optaplanner.constraint.drl.holder.HardMediumSoftBigDecimalScoreHolderImpl

All Implemented Interfaces:

HardMediumSoftBigDecimalScoreHolder, ScoreHolder<HardMediumSoftBigDecimalScore>

public final class HardMediumSoftBigDecimalScoreHolderImpl
extends AbstractScoreHolder<HardMediumSoftBigDecimalScore>
implements HardMediumSoftBigDecimalScoreHolder

See Also:

• HardMediumSoftBigDecimalScore

Nested Class Summary

Nested classes/interfaces inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

AbstractScoreHolder.BigDecimalMatchExecutor, AbstractScoreHolder.ConstraintActivationUnMatchListener, AbstractScoreHolder.IntMatchExecutor, AbstractScoreHolder.LongMatchExecutor, AbstractScoreHolder.ScoreMatchExecutor<Score_ extends Score<Score_>>

Field Summary

Fields

Modifier and Type	Field	Description
protected BigDecimal	hardScore
protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.BigDecimalMatchExecutor>	matchExecutorByNumberMap
protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<HardMediumSoftBigDecimalScore>>	matchExecutorByScoreMap	Slower than matchExecutorByNumberMap
protected BigDecimal	mediumScore
protected BigDecimal	softScore

Fields inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

constraintMatchEnabled, constraintMatchTotalMap, indictmentMap

Constructor Summary

Constructors

Constructor	Description
HardMediumSoftBigDecimalScoreHolderImpl(boolean constraintMatchEnabled)

Method Summary

Modifier and Type	Method	Description
void	addHardConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight)	Add a hard constraint of specified weighting.
void	addMediumConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal mediumWeight)	Add a medium level constraint of specified weighting.
void	addMultiConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeight, BigDecimal mediumWeight, BigDecimal softWeight)
void	addSoftConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal softWeight)	Add a soft constraint match of specified weighting.
void	configureConstraintWeight(org.kie.api.definition.rule.Rule rule, HardMediumSoftBigDecimalScore constraintWeight)
HardMediumSoftBigDecimalScore	extractScore(int initScore)
BigDecimal	getHardScore()
BigDecimal	getMediumScore()
BigDecimal	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, int weightMultiplier)	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	impactScore(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal 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, BigDecimal 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, BigDecimal hardWeightMultiplier, BigDecimal mediumWeightMultiplier, BigDecimal 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, BigDecimal weightMultiplier)	Reward a match by the ConstraintWeight multiplied with the weightMultiplier for all score levels.
void	reward(org.kie.api.runtime.rule.RuleContext kcontext, BigDecimal hardWeightMultiplier, BigDecimal mediumWeightMultiplier, BigDecimal softWeightMultiplier)	Reward a match by the ConstraintWeight multiplied with the specific weightMultiplier per score level.

Methods inherited from class org.optaplanner.constraint.drl.holder.AbstractScoreHolder

buildScoreHolder, extractJustificationList, getConstraintMatchTotalMap, getIndictmentMap, isConstraintMatchEnabled, registerConstraintMatch

Methods inherited from class java.lang.Object

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

Field Details

matchExecutorByNumberMap

protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.BigDecimalMatchExecutor> matchExecutorByNumberMap

matchExecutorByScoreMap

protected final Map<org.kie.api.definition.rule.Rule,AbstractScoreHolder.ScoreMatchExecutor<HardMediumSoftBigDecimalScore>> matchExecutorByScoreMap

Slower than matchExecutorByNumberMap

hardScore

protected BigDecimal hardScore

mediumScore

protected BigDecimal mediumScore

softScore

protected BigDecimal softScore

Constructor Details

HardMediumSoftBigDecimalScoreHolderImpl

public HardMediumSoftBigDecimalScoreHolderImpl(boolean constraintMatchEnabled)

Method Details

getHardScore

public BigDecimal getHardScore()

getMediumScore

public BigDecimal getMediumScore()

getSoftScore

public BigDecimal getSoftScore()

configureConstraintWeight

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

Overrides:

configureConstraintWeight in class AbstractScoreHolder<HardMediumSoftBigDecimalScore>

penalize

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

Description copied from interface: ScoreHolder

Penalize a match by the ConstraintWeight negated.

Specified by:

penalize in interface ScoreHolder<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null, the magic variable in DRL

penalize

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

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

Specified by:

penalize in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

penalize

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

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

Specified by:

penalize in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightMultiplier - at least 0

mediumWeightMultiplier - at least 0

softWeightMultiplier - at least 0

reward

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

Description copied from interface: ScoreHolder

Reward a match by the ConstraintWeight.

Specified by:

reward in interface ScoreHolder<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null, the magic variable in DRL

reward

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

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

Specified by:

reward in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

weightMultiplier - at least 0

reward

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

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

Specified by:

reward in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeightMultiplier - at least 0

mediumWeightMultiplier - 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<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null

impactScore

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

Description copied from class: AbstractScoreHolder

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

Specified by:

impactScore in class AbstractScoreHolder<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null

weightMultiplier - any

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.

Specified by:

impactScore in class AbstractScoreHolder<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null

weightMultiplier - any

impactScore

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

Description copied from class: AbstractScoreHolder

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

Specified by:

impactScore in interface HardMediumSoftBigDecimalScoreHolder

Specified by:

impactScore in class AbstractScoreHolder<HardMediumSoftBigDecimalScore>

Parameters:

kcontext - never null

weightMultiplier - any

addHardConstraintMatch

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

Add a hard constraint of specified weighting. This is typically used in Drools scoring to add a hard constraint match (negative value to indicate an infeasible solution).

Specified by:

addHardConstraintMatch in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeight - never null, higher is better, negative for a penalty, positive for a reward

addMediumConstraintMatch

public void addMediumConstraintMatch(org.kie.api.runtime.rule.RuleContext kcontext,
 BigDecimal mediumWeight)

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

Add a medium level constraint of specified weighting. This is typically used in Drools scoring to add a medium priority constraint match.

Specified by:

addMediumConstraintMatch in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

mediumWeight - never null, higher is better, negative for a penalty, positive for a reward

addSoftConstraintMatch

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

Description copied from interface: HardMediumSoftBigDecimalScoreHolder

Add a soft constraint match of specified weighting. This is typically used in Drools scoring to add a low priority constraint match.

Specified by:

addSoftConstraintMatch in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

softWeight - never null, higher is better, negative for a penalty, positive for a reward

addMultiConstraintMatch

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

Specified by:

addMultiConstraintMatch in interface HardMediumSoftBigDecimalScoreHolder

Parameters:

kcontext - never null, the magic variable in DRL

hardWeight - never null, higher is better, negative for a penalty, positive for a reward

mediumWeight - never null, higher is better, negative for a penalty, positive for a reward

softWeight - never null, higher is better, negative for a penalty, positive for a reward

extractScore

public HardMediumSoftBigDecimalScore extractScore(int initScore)

Specified by:

extractScore in class AbstractScoreHolder<HardMediumSoftBigDecimalScore>