From 5bf42aa9950058f391805e6fb8d7376f4378924b Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期一, 23 十二月 2024 16:16:55 +0800
Subject: [PATCH] cumulateHandle.getCurrent

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mdk/predict/impl/PredictModelHandlerImpl.java |   40 ++++++++++++++++++++++++++--------------
 1 files changed, 26 insertions(+), 14 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 e8a9142..c66d887 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
@@ -1,13 +1,16 @@
 package com.iailab.module.model.mdk.predict.impl;
 
+import com.alibaba.fastjson.JSON;
 import com.alibaba.fastjson.JSONArray;
 import com.alibaba.fastjson.JSONObject;
 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.common.exception.ModelResultErrorException;
 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.MmPredictModelEntity;
+import com.iailab.module.model.mcs.pre.enums.ItemRunStatusEnum;
 import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
 import com.iailab.module.model.mcs.pre.service.MmModelArithSettingsService;
 import com.iailab.module.model.mdk.common.enums.TypeA;
@@ -54,14 +57,14 @@
      * @throws ModelInvokeException
      */
     @Override
-    public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel) throws ModelInvokeException {
+    public synchronized PredictResultVO predictByModel(Date predictTime, MmPredictModelEntity predictModel,String itemName) 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);
+            List<SampleData> sampleDataList = sampleConstructor.constructSample(TypeA.Predict.name(), modelId, predictTime, itemName);
             String modelPath = predictModel.getModelpath();
             if (modelPath == null) {
                 log.info("模型路径不存在,modelId=" + modelId);
@@ -86,29 +89,30 @@
             param2Values[portLength] = newModelBean.getDataMap().get("models");
             param2Values[portLength + 1] = settings;
 
-            log.info("#######################预测模型 " + predictModel.getItemid() + " ##########################");
-            JSONObject jsonObjNewModelBean = new JSONObject();
-            jsonObjNewModelBean.put("newModelBean", newModelBean);
-            log.info(String.valueOf(jsonObjNewModelBean));
-            JSONObject jsonObjParam2Values = new JSONObject();
-            jsonObjParam2Values.put("param2Values", param2Values);
-            log.info(String.valueOf(jsonObjParam2Values));
+            log.info("####################### 预测模型 "+ "【itemId:" + predictModel.getItemid() + ",itemName" + itemName + "】 ##########################");
+//            JSONObject jsonObjNewModelBean = new JSONObject();
+//            jsonObjNewModelBean.put("newModelBean", newModelBean);
+//            log.info(String.valueOf(jsonObjNewModelBean));
+//            JSONObject jsonObjParam2Values = new JSONObject();
+//            jsonObjParam2Values.put("param2Values", param2Values);
+            log.info("参数: " + JSON.toJSONString(param2Values));
 
             //IAILMDK.run
             HashMap<String, Object> modelResult = DllUtils.run(newModelBean, param2Values, predictModel.getMpkprojectid());
             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);
+                throw new ModelResultErrorException("模型结果异常:" + modelResult);
             }
             modelResult = (HashMap<String, Object>) modelResult.get(CommonConstant.MDK_RESULT);
             //打印结果
-            log.info("预测模型计算完成:modelId=" + modelId + modelResult);
+            log.info("预测模型计算完成:modelId=" + modelId + ",modelName" + predictModel.getMethodname());
             JSONObject jsonObjResult = new JSONObject();
             jsonObjResult.put("result", modelResult);
             log.info(String.valueOf(jsonObjResult));
 
             List<MmItemOutputEntity> itemOutputList = mmItemOutputService.getByItemid(predictModel.getItemid());
-            Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>(itemOutputList.size());
+            Map<MmItemOutputEntity, double[]> predictMatrixs = new HashMap<>();
+            Map<MmItemOutputEntity, Double> predictDoubleValues = new HashMap<>();
             for (MmItemOutputEntity output : itemOutputList) {
                 if (!modelResult.containsKey(output.getResultstr())) {
                     continue;
@@ -127,16 +131,24 @@
                         }
                         predictMatrixs.put(output, tempColumn);
                         break;
+                    case D:
+                        Double temp3 = (Double) modelResult.get(output.getResultstr());
+                        predictDoubleValues.put(output, temp3);
+                        break;
                     default:
                         break;
                 }
             }
             result.setPredictMatrixs(predictMatrixs);
+            result.setPredictDoubleValues(predictDoubleValues);
             result.setModelResult(modelResult);
             result.setPredictTime(predictTime);
-        } catch (Exception ex) {
-            log.error("调用发生异常,异常信息为:{}", ex);
+        } catch (ModelResultErrorException ex) {
             ex.printStackTrace();
+            throw ex;
+        } catch (Exception ex) {
+            log.error("调用发生异常,异常信息为:{1}", ex);
+//            ex.printStackTrace();
             throw new ModelInvokeException(ex.getMessage());
         }
         return result;

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