From 5b952f77058a9da5af5e143a6c2c7ba195aa736d Mon Sep 17 00:00:00 2001
From: liriming <1343021927@qq.com>
Date: 星期二, 26 十一月 2024 16:08:10 +0800
Subject: [PATCH] 预测消息配置
---
iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java | 78 +++++++++++++++++++++++---------------
1 files changed, 47 insertions(+), 31 deletions(-)
diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
index ef75d02..9d5359b 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java
@@ -2,13 +2,14 @@
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
-import com.iail.IAILMDK;
import com.iail.model.IAILModel;
+import com.iailab.module.model.common.enums.CommonConstant;
+import com.iailab.module.model.common.enums.OutResultType;
+import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
import com.iailab.module.model.mcs.pre.entity.MmModelArithSettingsEntity;
-import com.iailab.module.model.mcs.pre.entity.MmModelResultstrEntity;
import com.iailab.module.model.mcs.pre.entity.MmPredictModelEntity;
+import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
-import com.iailab.module.model.mcs.pre.service.MmModelResultstrService;
import com.iailab.module.model.mdk.common.enums.TypeA;
import com.iailab.module.model.mdk.common.exceptions.ModelInvokeException;
import com.iailab.module.model.mdk.predict.PredictModelHandler;
@@ -20,10 +21,7 @@
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
-import java.util.ArrayList;
-import java.util.Date;
-import java.util.HashMap;
-import java.util.List;
+import java.util.*;
/**
* @author PanZhibao
@@ -38,24 +36,31 @@
private MmModelArithSettingsService mmModelArithSettingsService;
@Autowired
- private MmModelResultstrService mmModelResultstrService;
+ private MmItemOutputService mmItemOutputService;
@Autowired
private SampleConstructor sampleConstructor;
+ /**
+ * 根据模型预测,返回预测结果
+ *
+ * @param predictTime
+ * @param predictModel
+ * @return
+ * @throws ModelInvokeException
+ */
@Override
- public PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
+ public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
PredictResultVO result = new PredictResultVO();
if (predictModel == null) {
throw new ModelInvokeException("modelEntity is null");
}
String modelId = predictModel.getId();
-
try {
List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime);
String modelPath = predictModel.getModelpath();
if (modelPath == null) {
- System.out.println("模型路径不存在，modelId=" + modelId);
+ log.info("模型路径不存在，modelId=" + modelId);
return null;
}
IAILModel newModelBean = composeNewModelBean(predictModel);
@@ -67,10 +72,10 @@
int portLength = sampleDataList.size();
Object[] param2Values = new Object[portLength + 2];
for (int i = 0; i < portLength; i++) {
- param2Values[i]=sampleDataList.get(i).getMatrix();
+ param2Values[i] = sampleDataList.get(i).getMatrix();
}
param2Values[portLength] = newModelBean.getDataMap().get("models");
- param2Values[portLength+1] = settings;
+ param2Values[portLength + 1] = settings;
log.info("#######################预测模型 " + predictModel.getItemid() + " ##########################");
JSONObject jsonObjNewModelBean = new JSONObject();
@@ -81,38 +86,49 @@
log.info(String.valueOf(jsonObjParam2Values));
//IAILMDK.run
-// HashMap<String, Object> modelResult = IAILMDK.run(newModelBean, param2Values);
HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
- if(!modelResult.containsKey("status_code") || !modelResult.containsKey("result") || Integer.parseInt(modelResult.get("status_code").toString()) != 100) {
+ if (!modelResult.containsKey(CommonConstant.MDK_STATUS_CODE) || !modelResult.containsKey(CommonConstant.MDK_RESULT) ||
+ !modelResult.get(CommonConstant.MDK_STATUS_CODE).toString().equals(CommonConstant.MDK_STATUS_100)) {
throw new RuntimeException("模型结果异常：" + modelResult);
}
-
- modelResult = (HashMap<String, Object>) modelResult.get("result");
+ modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
//打印结果
+ log.info("模型计算完成：modelId=" + modelId + modelResult);
JSONObject jsonObjResult = new JSONObject();
jsonObjResult.put("result", modelResult);
log.info(String.valueOf(jsonObjResult));
- MmModelResultstrEntity modelResultstr = mmModelResultstrService.getInfo(predictModel.getResultstrid());
- log.info("模型计算完成：modelId=" + modelId + result);
- if (modelResult.containsKey(modelResultstr.getResultstr())) {
- Double[][] temp = (Double[][]) modelResult.get(modelResultstr.getResultstr());
- double[][] temp1 = new double[temp.length][temp[0].length];
- for (int i = 0; i < temp.length; i++) {
- for (int j = 0; j < temp[i].length; j++) {
- temp1[i][j] = temp[i][j].doubleValue();
- }
+ List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
+ Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(itemOutputList.size());
+ for (MmItemOutputEntity output : itemOutputList) {
+ if (!modelResult.containsKey(output.getResultstr())) {
+ continue;
}
- result.setPredictMatrix(temp1);
+ OutResultType outResultType = OutResultType.getEumByCode(output.getResultType());
+ switch (outResultType) {
+ case D1:
+ double[] temp1 = (double[]) modelResult.get(output.getResultstr());
+ predictMatrixs.put(output, temp1);
+ break;
+ case D2:
+ double[][] temp2 = (double[][]) modelResult.get(output.getResultstr());
+ double[] tempColumn = new double[temp2.length];
+ for (int i = 0; i < tempColumn.length; i++) {
+ tempColumn[i] = temp2[i][output.getResultIndex()];
+ }
+ predictMatrixs.put(output, tempColumn);
+ break;
+ default:
+ break;
+ }
}
+ result.setPredictMatrixs(predictMatrixs);
result.setModelResult(modelResult);
result.setPredictTime(predictTime);
} catch (Exception ex) {
- log.error("IAILModel对象构造失败，modelId=" + modelId);
- log.error(ex.getMessage());
- log.error("调用发生异常，异常信息为:{}" , ex);
+ log.error("调用发生异常，异常信息为:{}", ex);
ex.printStackTrace();
-
+ throw new ModelInvokeException(ex.getMessage());
}
return result;
}
--
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