protected List<Rule> createRuleList(PMML pmmlDocument) {
List<Rule> ruleList = new ArrayList<Rule>();
for (Object obj : pmmlDocument.getAssociationModelsAndBaselineModelsAndClusteringModels()) {
if (obj instanceof Scorecard) {
Scorecard scorecard = (Scorecard) obj;
Characteristics characteristics = getCharacteristicsFromScorecard(scorecard);
createInitialRule(ruleList, scorecard);
for (org.dmg.pmml.pmml_4_1.descr.Characteristic c : characteristics.getCharacteristics()) {
int attributePosition = 0;
for (org.dmg.pmml.pmml_4_1.descr.Attribute scoreAttribute : c.getAttributes()) {
String name =
formRuleName(
pmmlDocument, scorecard.getModelName().replaceAll(" ", ""), c, scoreAttribute);
Rule rule = new Rule(name, 99, 1);
String desc =
ScorecardPMMLUtils.getExtensionValue(scoreAttribute.getExtensions(), "description");
if (desc != null) {
rule.setDescription(desc);
}
attributePosition++;
populateLHS(rule, pmmlDocument, scorecard, c, scoreAttribute);
populateRHS(rule, pmmlDocument, scorecard, c, scoreAttribute, attributePosition);
ruleList.add(rule);
}
}
createSummationRules(ruleList, scorecard);
}
}
return ruleList;
}
@Test
public void characteristicsWithEmptyList() {
List<Listing> listings = new ArrayList<>();
Characteristics charac = TradingPost.getCharacteristics(listings);
Assert.assertEquals(0, charac.getMinimum());
Assert.assertEquals(0, charac.getMaximum());
Assert.assertTrue(charac.getAverage() + " != " + 0.0, 0.0 == charac.getAverage());
Assert.assertTrue(charac.getMedian() + " != " + 0.0, 0.0 == charac.getMedian());
}
@Test
public void characteristics() {
List<Listing> listings = new ArrayList<>();
listings.add(new Listing(1, 1));
listings.add(new Listing(1, 10));
Characteristics charac = TradingPost.getCharacteristics(listings);
Assert.assertEquals(1, charac.getMinimum());
Assert.assertEquals(10, charac.getMaximum());
Assert.assertTrue(charac.getAverage() + " != " + 5.5, 5.5 == charac.getAverage());
Assert.assertTrue(charac.getMedian() + " != " + 5.0, 5.5 == charac.getMedian());
}
@Test
public void characteristicsWithQuantity() {
List<Listing> listings = new ArrayList<>();
listings.add(new Listing(10, 1));
listings.add(new Listing(1, 2));
listings.add(new Listing(1, 3));
Characteristics charac = TradingPost.getCharacteristics(listings);
Assert.assertEquals(1, charac.getMinimum());
Assert.assertEquals(3, charac.getMaximum());
Assert.assertTrue(
charac.getAverage() + " != " + 15.0 / 12.0, 15.0 / 12.0 == charac.getAverage());
Assert.assertTrue(charac.getMedian() + " != " + 1.0, 1.0 == charac.getMedian());
}
protected void createInitialRule(List<Rule> ruleList, Scorecard scorecard) {
if (scorecard.getInitialScore() > 0 || scorecard.isUseReasonCodes()) {
String objectClass = scorecard.getModelName().replaceAll(" ", "");
String ruleName = objectClass + "_init";
Rule rule = new Rule(ruleName, 999, 1);
rule.setDescription("set the initial score");
Condition condition = createInitialRuleCondition(scorecard, objectClass);
rule.addCondition(condition);
if (scorecard.getInitialScore() > 0) {
Consequence consequence = new Consequence();
// consequence.setSnippet("$sc.setInitialScore(" + scorecard.getInitialScore() + ");");
consequence.setSnippet(
"insertLogical(new InitialScore(\""
+ objectClass
+ "\","
+ scorecard.getInitialScore()
+ "));");
rule.addConsequence(consequence);
}
if (scorecard.isUseReasonCodes()) {
for (Object obj : scorecard.getExtensionsAndCharacteristicsAndMiningSchemas()) {
if (obj instanceof Characteristics) {
Characteristics characteristics = (Characteristics) obj;
for (Characteristic characteristic : characteristics.getCharacteristics()) {
String field = ScorecardPMMLUtils.extractFieldNameFromCharacteristic(characteristic);
Consequence consequence = new Consequence();
if (characteristic.getBaselineScore() == null
|| characteristic.getBaselineScore() == 0) {
consequence.setSnippet(
"insertLogical(new BaselineScore(\""
+ objectClass
+ "\",\""
+ field
+ "\","
+ scorecard.getBaselineScore()
+ "));");
// consequence.setSnippet("$sc.setBaselineScore(\"" + field +
// "\","+scorecard.getBaselineScore()+");");
} else {
consequence.setSnippet(
"insertLogical(new BaselineScore(\""
+ objectClass
+ "\",\""
+ field
+ "\","
+ characteristic.getBaselineScore()
+ "));");
// consequence.setSnippet("$sc.setBaselineScore(\"" + field +
// "\","+characteristic.getBaselineScore()+");");
}
rule.addConsequence(consequence);
}
}
}
if (scorecard.getReasonCodeAlgorithm() != null) {
Consequence consequence = new Consequence();
if ("pointsAbove".equalsIgnoreCase(scorecard.getReasonCodeAlgorithm())) {
// TODO: ReasonCode Algorithm
consequence.setSnippet(
"//$sc.setReasonCodeAlgorithm(DroolsScorecard.REASON_CODE_ALGORITHM_POINTSABOVE);");
} else if ("pointsBelow".equalsIgnoreCase(scorecard.getReasonCodeAlgorithm())) {
consequence.setSnippet(
"//$sc.setReasonCodeAlgorithm(DroolsScorecard.REASON_CODE_ALGORITHM_POINTSBELOW);");
}
rule.addConsequence(consequence);
}
}
ruleList.add(rule);
}
}
@Override
public Characteristics getCharacteristics() {
Characteristics ret = super.getCharacteristics();
ret.sourceID = this.sourceID;
return ret;
}
