增加pmml测试

ddp/ddp-runner-api/src/test/java/pmml/PmmlTest.java

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+package pmml;
+
+import com.fibo.ddp.common.service.strategyx.aimodel.PMMLExecutor.PMMLExecutor;
+import com.fibo.ddp.common.service.strategyx.aimodel.PMMLExecutor.impl.PMMLExecutorRFImpl;
+import org.jpmml.evaluator.InputField;
+import org.jpmml.evaluator.OutputField;
+import org.jpmml.evaluator.TargetField;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+public class PmmlTest {
+
+    public static void main(String[] args)throws Exception{
+
+        PMMLExecutor pmmlExecutor = new PMMLExecutorRFImpl();
+        String file = "/Users/dugang/work/2025/risk/fibo-rule/ddp/ddp-runner-api/src/test/resources/demo001.pmml";
+        // 加载模型文件
+        org.jpmml.evaluator.Evaluator evaluator = pmmlExecutor.loadPmml(file);
+
+
+        System.out.println("summary="+ evaluator.getSummary());
+
+        List<InputField> inputFields  = evaluator.getInputFields();
+        System.out.println("inputFields.size="+inputFields.size());
+        for(InputField item:inputFields){
+            System.out.println(item);
+        }
+        List<InputField> activeFields  = evaluator.getActiveFields();
+        System.out.println("activeFields.size="+activeFields.size());
+        for(InputField item:activeFields){
+            System.out.println(item);
+        }
+
+        List<TargetField> targetFields =  evaluator.getTargetFields();
+        System.out.println("targetFields.size="+targetFields.size());
+        for(TargetField item:targetFields){
+            System.out.println(item);
+        }
+        List<OutputField> outputFields = evaluator.getOutputFields();
+        System.out.println("outputFields.size="+outputFields.size());
+        for(OutputField item:outputFields){
+            System.out.println(item);
+        }
+
+
+
+
+        Map<String, Object> input = new HashMap<>();
+        input.put("x1",1.0);
+        input.put("x2",2.0);
+
+        double modelResult = pmmlExecutor.predict(evaluator, input);
+
+        System.out.println("modelResult="+modelResult);
+
+
+        input.put("x1","1.0");
+        input.put("x2","2.0");
+        modelResult = pmmlExecutor.predict(evaluator, input);
+        System.out.println("modelResult="+modelResult);
+
+        input.put("x1","1.7");
+        input.put("x2","2.1");
+        modelResult = pmmlExecutor.predict(evaluator, input);
+        System.out.println("modelResult="+modelResult);
+
+
+
+
+
+    }
+}

ddp/ddp-runner-api/src/test/resources/demo001.pmml

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+<?xml version="1.0" encoding="UTF-8"?>
+<PMML xmlns="http://www.dmg.org/PMML-4_4" version="4.4">
+    <Header copyright="Example Corp" description="Simple Linear Regression Model">
+        <Application name="Example App" version="1.0"/>
+    </Header>
+    <DataDictionary numberOfFields="3">
+        <DataField name="x1" optype="continuous" dataType="double"/>
+        <DataField name="x2" optype="continuous" dataType="double"/>
+        <DataField name="y" optype="continuous" dataType="double"/>
+    </DataDictionary>
+    <RegressionModel modelName="SimpleLinearRegression" functionName="regression">
+        <MiningSchema>
+            <MiningField name="x1" usageType="active"/>
+            <MiningField name="x2" usageType="active"/>
+            <MiningField name="y" usageType="predicted"/>
+        </MiningSchema>
+        <RegressionTable intercept="1.0">
+            <NumericPredictor name="x1" exponent="1" coefficient="0.5"/>
+            <NumericPredictor name="x2" exponent="1" coefficient="0.3"/>
+        </RegressionTable>
+    </RegressionModel>
+</PMML>