From 7f0bcd00c556889ba890e5e68c681f1b5d4267e1 Mon Sep 17 00:00:00 2001
From: dengzedong <dengzedong@email>
Date: 星期四, 19 十二月 2024 18:07:20 +0800
Subject: [PATCH] 预测项状态添加模型结果异常

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java |  106 ++++++++++++++++++++++++++++++++++++----------------
 1 files changed, 73 insertions(+), 33 deletions(-)

diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
index 8f73d14..21864c0 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/api/MdkApiImpl.java
@@ -4,7 +4,6 @@
 import com.iailab.framework.common.util.object.ConvertUtils;
 import com.iailab.module.model.api.mdk.MdkApi;
 import com.iailab.module.model.api.mdk.dto.*;
-import com.iailab.framework.common.pojo.CommonResult;
 import com.iailab.module.model.mcs.pre.entity.DmModuleEntity;
 import com.iailab.module.model.mcs.pre.service.DmModuleService;
 import com.iailab.module.model.mcs.pre.service.MmPredictItemService;
@@ -13,22 +12,18 @@
 import com.iailab.module.model.mdk.predict.PredictItemHandler;
 import com.iailab.module.model.mdk.predict.PredictModuleHandler;
 import com.iailab.module.model.mdk.predict.PredictResultHandler;
+import com.iailab.module.model.mdk.schedule.ScheduleModelHandler;
 import com.iailab.module.model.mdk.vo.DataValueVO;
 import com.iailab.module.model.mdk.vo.ItemVO;
 import com.iailab.module.model.mdk.vo.PredictResultVO;
+import com.iailab.module.model.mdk.vo.ScheduleResultVO;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.util.CollectionUtils;
 import org.springframework.validation.annotation.Validated;
-import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RestController;
 
-import javax.validation.Valid;
-
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
+import java.util.*;
 import java.util.stream.Collectors;
 
 import static com.iailab.framework.common.pojo.CommonResult.error;
@@ -62,6 +57,9 @@
     @Autowired
     private PredictResultHandler predictResultHandler;
 
+    @Autowired
+    private ScheduleModelHandler scheduleModelHandler;
+
     /**
      * 按模块预测
      *
@@ -69,8 +67,11 @@
      * @return
      */
     @Override
-    public CommonResult<MdkPredictModuleRespDTO> predictModule(MdkPredictReqDTO reqDTO) {
+    public MdkPredictModuleRespDTO predictModule(MdkPredictReqDTO reqDTO) {
         MdkPredictModuleRespDTO resp = new MdkPredictModuleRespDTO();
+        resp.setPredictTime(reqDTO.getPredictTime());
+        resp.setModuleType(reqDTO.getModuleType());
+
         Map<String, MdkPredictItemRespDTO> predictItemRespMap = new HashMap<>();
         try {
             if (reqDTO.getPredictTime() == null) {
@@ -79,6 +80,11 @@
             if (reqDTO.getModuleType() == null) {
                 throw new Exception("ModuleType不能为空");
             }
+            Calendar calendar = Calendar.getInstance();
+            calendar.setTime(reqDTO.getPredictTime());
+            calendar.set(Calendar.MILLISECOND, 0);
+            calendar.set(Calendar.SECOND, 0);
+            reqDTO.setPredictTime(calendar.getTime());
             log.info("预测参数:" + JSON.toJSONString(reqDTO));
             MdkPredictModuleRespDTO result = new MdkPredictModuleRespDTO();
             result.setPredictTime(reqDTO.getPredictTime());
@@ -91,26 +97,48 @@
                     intervalTime = (int) (reqDTO.getPredictTime().getTime() - module.getPredicttime().getTime()) / (1000 * 60);
                 }
                 List<ItemVO> predictItemList = mmPredictItemService.getByModuleId(module.getId());
-                Map<String, PredictResultVO> predictResultMap = predictModuleHandler.predict(predictItemList, reqDTO.getPredictTime(), intervalTime);
+                Map<String, PredictResultVO> predictResultMap = new HashMap<>(predictItemList.size());
+                // 分组,先运行normal预测项,再将结果传递给merge预测项
+                List<ItemVO> normalItems = predictItemList.stream().filter(e -> e.getItemType().equals("NormalItem")).collect(Collectors.toList());
+                if (!CollectionUtils.isEmpty(normalItems)) {
+                    predictModuleHandler.predict(normalItems, reqDTO.getPredictTime(), intervalTime,predictResultMap);
+                    List<ItemVO> mergeItem = predictItemList.stream().filter(e -> e.getItemType().equals("MergeItem")).collect(Collectors.toList());
+                    if (!CollectionUtils.isEmpty(mergeItem)) {
+                        predictModuleHandler.predict(mergeItem, reqDTO.getPredictTime(), intervalTime,predictResultMap);
+                    }
+                }
+                // 更新Module时间
+                dmModuleService.updatePredictTime(module.getId(), reqDTO.getPredictTime());
+                if (reqDTO.getIsResult() == null || !reqDTO.getIsResult()) {
+                    return resp;
+                }
                 for (Map.Entry<String, PredictResultVO> entry : predictResultMap.entrySet()) {
-                    List<MdkPredictDataDTO> predictData = entry.getValue().getPredictList().stream().map(t-> {
-                        MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
-                        dto1.setDataTime(t.getDataTime());
-                        dto1.setDataValue(t.getDataValue());
-                        return dto1;
-                    }).collect(Collectors.toList());
                     MdkPredictItemRespDTO itemResp = new MdkPredictItemRespDTO();
-                    itemResp.setItemId(entry.getValue().getPredictId());
-                    itemResp.setPredictData(predictData);
+                    itemResp.setItemId(entry.getKey());
+                    itemResp.setPredictTime(reqDTO.getPredictTime());
+                    Map<String, List<MdkPredictDataDTO>> itemPredictData = new HashMap<>();
+
+                    Map<String, List<DataValueVO>> predictLists = predictResultHandler.convertToPredictData2(entry.getValue());
+                    for (Map.Entry<String, List<DataValueVO>> dataListEntry : predictLists.entrySet()) {
+                        List<MdkPredictDataDTO> predictData = dataListEntry.getValue().stream().map(t -> {
+                            MdkPredictDataDTO dto1 = new MdkPredictDataDTO();
+                            dto1.setDataTime(t.getDataTime());
+                            dto1.setDataValue(t.getDataValue());
+                            return dto1;
+                        }).collect(Collectors.toList());
+                        itemPredictData.put(dataListEntry.getKey(), predictData);
+                    }
+                    itemResp.setPredictData(itemPredictData);
                     predictItemRespMap.put(entry.getKey(), itemResp);
                 }
             }
             log.info("预测计算结束: " + System.currentTimeMillis());
         } catch (Exception ex) {
-            return error(999, ex.getMessage());
+            ex.printStackTrace();
+            return resp;
         }
         resp.setPredictItemRespMap(predictItemRespMap);
-        return success(resp);
+        return resp;
     }
 
     /**
@@ -120,19 +148,20 @@
      * @return
      */
     @Override
-    public CommonResult<MdkPredictItemRespDTO> predictItem(@Valid @RequestBody MdkPredictReqDTO reqDTO) {
+    public MdkPredictItemRespDTO predictItem(MdkPredictReqDTO reqDTO) {
         MdkPredictItemRespDTO resp = new MdkPredictItemRespDTO();
 
         try {
             log.info("预测计算开始: " + System.currentTimeMillis());
-            List<MdkPredictDataDTO> predictData = new ArrayList<>();
+            Map<String, List<MdkPredictDataDTO>> predictData = new HashMap<>();
             ItemVO predictItem = itemEntityFactory.getItemByItemNo(reqDTO.getItemNo());
-            PredictItemHandler predictItemHandler = (PredictItemHandler)predictItemFactory.create(predictItem.getId());
-            PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem);
+            PredictItemHandler predictItemHandler = predictItemFactory.create(predictItem.getId());
+            PredictResultVO predictResult = predictItemHandler.predict(reqDTO.getPredictTime(), predictItem,null,null);
             Map<String, List<DataValueVO>> resultMap = predictResultHandler.convertToPredictData(predictResult);
             if (!CollectionUtils.isEmpty(resultMap)) {
                 for (Map.Entry<String, List<DataValueVO>> entry : resultMap.entrySet()) {
-                    predictData = ConvertUtils.sourceToTarget(entry.getValue(), MdkPredictDataDTO.class);
+                    List<MdkPredictDataDTO>  data = ConvertUtils.sourceToTarget(entry.getValue(), MdkPredictDataDTO.class);
+                    predictData.put(entry.getKey(), data);
                 }
             }
             resp.setPredictData(predictData);
@@ -140,11 +169,11 @@
             resp.setPredictTime(reqDTO.getPredictTime());
             log.info("预测计算结束: " + System.currentTimeMillis());
         } catch (Exception ex) {
-            log.info("预测计算异常: " + System.currentTimeMillis());
-            ex.printStackTrace();
+            log.info("预测计算异常: " + System.currentTimeMillis(), ex);
+            return resp;
         }
 
-        return success(resp);
+        return resp;
     }
 
     /**
@@ -154,10 +183,10 @@
      * @return
      */
     @Override
-    public CommonResult<Boolean> predictAutoAdjust(@Valid @RequestBody MdkPredictReqDTO reqDTO) {
+    public Boolean predictAutoAdjust(MdkPredictReqDTO reqDTO) {
 
 
-        return success(true);
+        return true;
     }
 
     /**
@@ -167,9 +196,20 @@
      * @return
      */
     @Override
-    public CommonResult<MdkScheduleRespDTO> doSchedule(@Valid @RequestBody MdkScheduleReqDTO reqDTO) {
+    public MdkScheduleRespDTO doSchedule(MdkScheduleReqDTO reqDTO) {
         MdkScheduleRespDTO resp = new MdkScheduleRespDTO();
-
-        return success(resp);
+        resp.setScheduleCode(reqDTO.getScheduleCode());
+        resp.setScheduleTime(reqDTO.getScheduleTime());
+        try {
+            log.info("调度计算开始: " + System.currentTimeMillis());
+            ScheduleResultVO scheduleResult = scheduleModelHandler.doSchedule(reqDTO.getScheduleCode(), reqDTO.getScheduleTime());
+            resp.setResult(scheduleResult.getResult());
+            log.info("预测计算结束: " + System.currentTimeMillis());
+        } catch (Exception ex) {
+            log.info("调度计算异常: " + System.currentTimeMillis());
+//            ex.printStackTrace();
+            return resp;
+        }
+        return resp;
     }
 }
\ No newline at end of file

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