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/*
 * Copyright (c) 2013 Villu Ruusmann
 *
 * This file is part of JPMML-Evaluator
 *
 * JPMML-Evaluator is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * JPMML-Evaluator is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with JPMML-Evaluator.  If not, see .
 */
package org.jpmml.evaluator;

import java.util.ArrayList;
import java.util.Collection;
import java.util.Comparator;
import java.util.List;
import java.util.Map;

import com.google.common.base.Joiner;
import com.google.common.collect.Ordering;
import org.dmg.pmml.DataField;
import org.dmg.pmml.DataType;
import org.dmg.pmml.Model;
import org.dmg.pmml.OpType;
import org.dmg.pmml.Output;
import org.dmg.pmml.OutputField;
import org.dmg.pmml.PMMLAttributes;
import org.dmg.pmml.ResultFeature;
import org.dmg.pmml.Target;
import org.dmg.pmml.TargetValue;
import org.dmg.pmml.Value;
import org.dmg.pmml.association.AssociationRule;
import org.dmg.pmml.association.Item;
import org.dmg.pmml.association.ItemRef;
import org.dmg.pmml.association.Itemset;
import org.dmg.pmml.mining.MiningModel;
import org.dmg.pmml.mining.Segmentation;
import org.jpmml.evaluator.mining.MiningModelEvaluationContext;
import org.jpmml.evaluator.mining.MiningModelUtil;
import org.jpmml.evaluator.mining.SegmentResult;
import org.jpmml.model.InvalidAttributeException;
import org.jpmml.model.InvalidElementException;
import org.jpmml.model.MisplacedAttributeException;
import org.jpmml.model.MissingAttributeException;
import org.jpmml.model.UnsupportedAttributeException;
import org.jpmml.model.UnsupportedElementException;

public class OutputUtil {

	private OutputUtil(){
	}

	/**
	 * 

* Evaluates the {@link Output} element. *

* * @param predictions A map of {@link Evaluator#getTargetFields() target field} values. * * @return A map of {@link Evaluator#getTargetFields() target field} values together with {@link Evaluator#getOutputFields() output field} values. */ static public Map evaluate(Map predictions, ModelEvaluationContext context){ ModelEvaluator modelEvaluator = context.getModelEvaluator(); Model model = modelEvaluator.getModel(); Output output = model.getOutput(); if(output == null || !output.hasOutputFields()){ return predictions; } OutputMap result = new OutputMap(predictions); OutputFilter outputFilter = modelEvaluator.ensureOutputFilter(); List outputFields = output.getOutputFields(); outputFields: for(int i = 0, max = outputFields.size(); i < max; i++){ OutputField outputField = outputFields.get(i); String targetFieldName = outputField.getTargetField(); Object targetValue = null; boolean requireTargetValue; ResultFeature resultFeature = outputField.getResultFeature(); switch(resultFeature){ case TRANSFORMED_VALUE: case DECISION: case WARNING: requireTargetValue = false; break; default: requireTargetValue = true; break; } String segmentId = outputField.getSegmentId(); SegmentResult segmentPredictions; // Load the target value of the specified segment if(segmentId != null){ if(!(model instanceof MiningModel)){ throw new MisplacedAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_SEGMENTID, segmentId); } MiningModelEvaluationContext miningModelContext = (MiningModelEvaluationContext)context; segmentPredictions = miningModelContext.getResult(segmentId); // "If there is no Segment matching segmentId or if the predicate of the matching Segment evaluated to false, then the result delivered by this OutputField is missing" if(segmentPredictions == null){ continue outputFields; } // End if if(requireTargetValue){ if(targetFieldName != null){ if(!segmentPredictions.containsKey(targetFieldName)){ throw new MissingFieldValueException(targetFieldName, outputField); } targetValue = segmentPredictions.get(targetFieldName); } else { targetValue = segmentPredictions.getTargetValue(); } } } else // Load the target value { segmentPredictions = null; targetValue: if(requireTargetValue){ if(model instanceof MiningModel){ MiningModel miningModel = (MiningModel)model; switch(resultFeature){ case ENTITY_ID: { if(targetFieldName != null){ throw new MisplacedAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_TARGETFIELD, targetFieldName); } // "Result feature entityId returns the id of the winning segment" targetValue = TypeUtil.cast(HasEntityId.class, predictions); break targetValue; } default: { if(targetFieldName != null){ break; } Segmentation segmentation = miningModel.requireSegmentation(); SegmentResult segmentResult = MiningModelUtil.asSegmentResult(segmentation.requireMultipleModelMethod(), predictions); if(segmentResult != null){ targetValue = segmentResult.getTargetValue(); break targetValue; } } break; } } // End if if(targetFieldName == null){ targetFieldName = modelEvaluator.getTargetName(); } // End if if(!predictions.containsKey(targetFieldName)){ throw new MissingFieldValueException(targetFieldName, outputField); } targetValue = predictions.get(targetFieldName); } } // "If the target value is missing, then the result delivered by this OutputField is missing" if(requireTargetValue && targetValue == null){ continue outputFields; } Object value; // Perform the requested computation on the target value switch(resultFeature){ case PREDICTED_VALUE: { value = getPredictedValue(targetValue); } break; case PREDICTED_DISPLAY_VALUE: { if(segmentId != null){ throw new UnsupportedElementException(outputField); } TargetField targetField = modelEvaluator.findTargetField(targetFieldName); if(targetField == null){ throw new MissingFieldException(targetFieldName, outputField); } value = getPredictedDisplayValue(targetValue, targetField); } break; case TRANSFORMED_VALUE: case DECISION: { if(segmentId != null){ Object name = outputField.requireValue(); value = segmentPredictions.get(TypeUtil.format(name)); break; } value = FieldValueUtil.getValue(ExpressionUtil.evaluateExpressionContainer(outputField, context)); } break; case PROBABILITY: { value = getProbability(targetValue, outputField); } break; case CONFIDENCE: { if(targetValue instanceof HasRuleValues){ value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.CONFIDENCE); break; } value = getConfidence(targetValue, outputField); } break; case RESIDUAL: { if(segmentId != null){ throw new UnsupportedElementException(outputField); } FieldValue expectedTargetValue = context.evaluate(targetFieldName); if(FieldValueUtil.isMissing(expectedTargetValue)){ throw new MissingFieldValueException(targetFieldName, outputField); } TargetField targetField = modelEvaluator.findTargetField(targetFieldName); if(targetField == null){ throw new MissingFieldException(targetFieldName, outputField); } OpType opType = targetField.getOpType(); switch(opType){ case CONTINUOUS: value = getContinuousResidual(targetValue, expectedTargetValue); break; case CATEGORICAL: case ORDINAL: value = getDiscreteResidual(targetValue, expectedTargetValue); break; default: throw new InvalidElementException(outputField); } } break; case CLUSTER_ID: { value = getClusterId(targetValue); } break; case ENTITY_ID: { if(targetValue instanceof HasRuleValues){ value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.RULE_ID); break; } value = getEntityId(targetValue, outputField); } break; case AFFINITY: { value = getAffinity(targetValue, outputField); } break; case CLUSTER_AFFINITY: case ENTITY_AFFINITY: { Object entityId = outputField.getValue(); // Select the specified entity instead of the winning entity if(entityId != null){ value = getAffinity(targetValue, outputField); break; } value = getEntityAffinity(targetValue); } break; case REASON_CODE: { value = getReasonCode(targetValue, outputField); } break; case RULE_VALUE: { value = getRuleValue(targetValue, outputField); } break; case ANTECEDENT: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.ANTECEDENT); } break; case CONSEQUENT: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.CONSEQUENT); } break; case RULE: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.RULE); } break; case RULE_ID: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.RULE_ID); } break; case SUPPORT: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.SUPPORT); } break; case LIFT: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.LIFT); } break; case LEVERAGE: { value = getRuleValue(targetValue, outputField, OutputField.RuleFeature.LEVERAGE); } break; case REPORT: { String reportFieldName = outputField.getReportField(); if(reportFieldName == null){ throw new MissingAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_REPORTFIELD); } OutputField reportOutputField = modelEvaluator.getOutputField(reportFieldName); if(reportOutputField == null){ throw new MissingFieldException(reportFieldName); } value = getReport(targetValue, reportOutputField); } break; case WARNING: { value = context.getWarnings(); } break; default: throw new UnsupportedAttributeException(outputField, resultFeature); } String name = outputField.requireName(); TypeInfo typeInfo = new TypeInfo(){ @Override public OpType getOpType(){ OpType opType = outputField.getOpType(); if(opType == null){ DataType dataType = getDataType(); opType = TypeUtil.getOpType(dataType); } return opType; } @Override public DataType getDataType(){ DataType dataType = outputField.getDataType(); if(dataType == null){ if(value instanceof Collection){ Collection values = (Collection)value; dataType = TypeUtil.getDataType(values); } else { dataType = TypeUtil.getDataType(value); } } return dataType; } @Override public List getOrdering(){ List ordering = FieldUtil.getValidValues(outputField); return ordering; } }; FieldValue outputValue = FieldValueUtil.create(typeInfo, value); // The result of one output field becomes available to other output fields context.declare(name, outputValue); if(outputFilter.test(outputField)){ result.putPublic(name, FieldValueUtil.getValue(outputValue)); } else { result.putPrivate(name, FieldValueUtil.getValue(outputValue)); } } return result; } static private Object getPredictedValue(Object object){ return EvaluatorUtil.decode(object); } static private Object getPredictedDisplayValue(Object object, TargetField targetField){ if(object instanceof HasDisplayValue){ HasDisplayValue hasDisplayValue = TypeUtil.cast(HasDisplayValue.class, object); return hasDisplayValue.getDisplayValue(); } object = getPredictedValue(object); Target target = targetField.getTarget(); if(target != null){ TargetValue targetValue = TargetUtil.getTargetValue(target, object); if(targetValue != null){ String displayValue = targetValue.getDisplayValue(); if(displayValue != null){ return displayValue; } } } DataField dataField = targetField.getField(); OpType opType = targetField.getOpType(); switch(opType){ case CONTINUOUS: break; case CATEGORICAL: case ORDINAL: { Value value = TargetFieldUtil.getValidValue(dataField, object); if(value != null){ String displayValue = value.getDisplayValue(); if(displayValue != null){ return displayValue; } } } break; default: throw new UnsupportedAttributeException(dataField, opType); } // "If the display value is not specified explicitly, then the raw predicted value is used by default" return object; } static private Double getProbability(Object object, OutputField outputField){ HasProbability hasProbability = TypeUtil.cast(HasProbability.class, object); Object value = getCategoryValue(object, outputField); return hasProbability.getProbability(value); } static private Double getConfidence(Object object, OutputField outputField){ HasConfidence hasConfidence = TypeUtil.cast(HasConfidence.class, object); Object value = getCategoryValue(object, outputField); return hasConfidence.getConfidence(value); } static private Object getCategoryValue(Object object, OutputField outputField){ Object value = outputField.getValue(); // "If the value attribute is not specified, then the predicted categorical value should be returned as a result" if(value == null){ return getPredictedValue(object); } return value; } static private Number getContinuousResidual(Object value, FieldValue expectedValue){ value = getPredictedValue(value); return Functions.SUBTRACT.evaluate(expectedValue.asNumber(), (Number)value); } static public Number getDiscreteResidual(Object value, FieldValue expectedValue){ HasProbability hasProbability = TypeUtil.cast(HasProbability.class, value); value = getPredictedValue(value); boolean equals = expectedValue.equalsValue(value); return Functions.SUBTRACT.evaluate(equals ? Numbers.DOUBLE_ONE : Numbers.DOUBLE_ZERO, hasProbability.getProbability(value)); } static private String getClusterId(Object object){ HasEntityId hasEntityId = TypeUtil.cast(HasEntityId.class, object); return hasEntityId.getEntityId(); } static private String getEntityId(Object object, OutputField outputField){ HasEntityId hasEntityId = TypeUtil.cast(HasEntityId.class, object); int rank = outputField.getRank(); if(rank <= 0){ throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_RANK, rank); } // End if if(rank > 1){ HasEntityIdRanking hasEntityIdRanking = TypeUtil.cast(HasEntityIdRanking.class, object); OutputField.RankOrder rankOrder = outputField.getRankOrder(); switch(rankOrder){ case DESCENDING: break; default: throw new UnsupportedAttributeException(outputField, rankOrder); } return getElement(hasEntityIdRanking.getEntityIdRanking(), rank); } return hasEntityId.getEntityId(); } static public Double getAffinity(Object object, OutputField outputField){ HasAffinity hasAffinity = TypeUtil.cast(HasAffinity.class, object); int rank = outputField.getRank(); if(rank <= 0){ throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_RANK, rank); } // End if if(rank > 1){ HasAffinityRanking hasAffinityRanking = TypeUtil.cast(HasAffinityRanking.class, object); OutputField.RankOrder rankOrder = outputField.getRankOrder(); switch(rankOrder){ case DESCENDING: break; default: throw new UnsupportedAttributeException(outputField, rankOrder); } return getElement(hasAffinityRanking.getAffinityRanking(), rank); } Object value = getCategoryValue(object, outputField); return hasAffinity.getAffinity(TypeUtil.format(value)); } static public Double getEntityAffinity(Object object){ HasEntityAffinity hasEntityAffinity = TypeUtil.cast(HasEntityAffinity.class, object); return hasEntityAffinity.getEntityAffinity(); } static public String getReasonCode(Object object, OutputField outputField){ HasReasonCodeRanking hasReasonCodeRanking = TypeUtil.cast(HasReasonCodeRanking.class, object); int rank = outputField.getRank(); if(rank <= 0){ throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_RANK, rank); } return getElement(hasReasonCodeRanking.getReasonCodeRanking(), rank); } static public Object getRuleValue(Object object, OutputField outputField){ return getRuleValue(object, outputField, outputField.getRuleFeature()); } static public Object getRuleValue(Object object, OutputField outputField, OutputField.RuleFeature ruleFeature){ HasRuleValues hasRuleValues = TypeUtil.cast(HasRuleValues.class, object); List associationRules = getRuleValues(hasRuleValues, outputField); String isMultiValued = outputField.getIsMultiValued(); // Return a single result if(("0").equals(isMultiValued)){ int rank = outputField.getRank(); if(rank <= 0){ throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_RANK, rank); } AssociationRule associationRule = getElement(associationRules, rank); if(associationRule != null){ return getRuleFeature(hasRuleValues, associationRule, outputField, ruleFeature); } return null; } else // Return multiple results if(("1").equals(isMultiValued)){ int size; int rank = outputField.getRank(); if(rank < 0){ throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_RANK, rank); } else // "A zero value indicates that all output values are to be returned" if(rank == 0){ size = associationRules.size(); } else // "A positive value indicates the number of output values to be returned" { size = Math.min(rank, associationRules.size()); } associationRules = associationRules.subList(0, size); List result = new ArrayList<>(associationRules.size()); for(AssociationRule associationRule : associationRules){ result.add(getRuleFeature(hasRuleValues, associationRule, outputField, ruleFeature)); } return result; } else { throw new InvalidAttributeException(outputField, PMMLAttributes.OUTPUTFIELD_ISMULTIVALUED, isMultiValued); } } static public String getReport(Object object, OutputField outputField){ Report report = null; ResultFeature resultFeature = outputField.getResultFeature(); switch(resultFeature){ case PREDICTED_VALUE: { HasPrediction hasPrediction; try { hasPrediction = TypeUtil.cast(HasPrediction.class, object); } catch(TypeCheckException tce){ return null; } report = hasPrediction.getPredictionReport(); } break; case PROBABILITY: { HasProbability hasProbability = TypeUtil.cast(HasProbability.class, object); Object value = getCategoryValue(object, outputField); report = hasProbability.getProbabilityReport(value); } break; case CONFIDENCE: { HasConfidence hasConfidence = TypeUtil.cast(HasConfidence.class, object); Object value = getCategoryValue(object, outputField); report = hasConfidence.getConfidenceReport(value); } break; case AFFINITY: { HasAffinity hasAffinity = TypeUtil.cast(HasAffinity.class, object); Object value = getCategoryValue(object, outputField); report = hasAffinity.getAffinityReport(TypeUtil.format(value)); } break; default: break; } return ReportUtil.format(report); } static private List getRuleValues(HasRuleValues hasRuleValues, OutputField outputField){ List associationRules; OutputField.Algorithm algorithm = outputField.getAlgorithm(); switch(algorithm){ case RECOMMENDATION: case EXCLUSIVE_RECOMMENDATION: case RULE_ASSOCIATION: associationRules = hasRuleValues.getRuleValues(algorithm); break; default: throw new UnsupportedAttributeException(outputField, algorithm); } Comparator comparator = new Comparator(){ private OutputField.RankBasis rankBasis = outputField.getRankBasis(); private OutputField.RankOrder rankOrder = outputField.getRankOrder(); @Override public int compare(AssociationRule left, AssociationRule right){ Number leftValue; Number rightValue; switch(this.rankBasis){ case CONFIDENCE: leftValue = left.requireConfidence(); rightValue = right.requireConfidence(); break; case SUPPORT: leftValue = left.requireSupport(); rightValue = right.requireSupport(); break; case LIFT: leftValue = left.requireLift(); rightValue = right.requireLift(); break; case LEVERAGE: leftValue = left.requireLeverage(); rightValue = right.requireLeverage(); break; case AFFINITY: leftValue = left.requireAffinity(); rightValue = right.requireAffinity(); break; default: throw new UnsupportedAttributeException(outputField, this.rankBasis); } int order = NumberUtil.compare(leftValue, rightValue); switch(this.rankOrder){ case ASCENDING: return order; case DESCENDING: return -order; default: throw new UnsupportedAttributeException(outputField, this.rankOrder); } } }; Ordering ordering = Ordering.from(comparator); return ordering.sortedCopy(associationRules); } @SuppressWarnings("unchecked") static private Object getRuleFeature(HasRuleValues hasRuleValues, AssociationRule associationRule, OutputField outputField, OutputField.RuleFeature ruleFeature){ switch(ruleFeature){ case ANTECEDENT: return getItemValues(hasRuleValues, associationRule.getAntecedent()); case CONSEQUENT: return getItemValues(hasRuleValues, associationRule.getConsequent()); case RULE: { Joiner joiner = Joiner.on(','); StringBuilder sb = new StringBuilder(); String left = joiner.join(getItemValues(hasRuleValues, associationRule.getAntecedent())); sb.append('{').append(left).append('}'); sb.append("->"); String right = joiner.join(getItemValues(hasRuleValues, associationRule.getConsequent())); sb.append('{').append(right).append('}'); return sb.toString(); } case RULE_ID: { HasEntityRegistry hasEntityRegistry = (HasEntityRegistry)hasRuleValues; return EntityUtil.getId(associationRule, hasEntityRegistry); } case CONFIDENCE: return associationRule.getConfidence(); case SUPPORT: return associationRule.getSupport(); case LIFT: return associationRule.getLift(); case LEVERAGE: return associationRule.getLeverage(); case AFFINITY: return associationRule.getAffinity(); default: throw new UnsupportedAttributeException(outputField, ruleFeature); } } static private List getItemValues(HasRuleValues hasRuleValues, String id){ Map items = hasRuleValues.getItems(); Map itemsets = hasRuleValues.getItemsets(); Itemset itemset = itemsets.get(id); List itemRefs = itemset.getItemRefs(); List result = new ArrayList<>(itemRefs.size()); for(int i = 0, max = itemRefs.size(); i < max; i++){ ItemRef itemRef = itemRefs.get(i); Item item = items.get(itemRef.requireItemRef()); result.add(item.getValue()); } return result; } static private E getElement(List elements, int rank){ int index = (rank - 1); if(index < elements.size()){ return elements.get(index); } return null; } }