From 8b98a3cb5017aedec0eb46716f1925fc8d624ec5 Mon Sep 17 00:00:00 2001
From: 潘志宝 <979469083@qq.com>
Date: 星期三, 08 一月 2025 11:44:40 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/master'

---
 iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java |  185 +++++++++++++++++++---------------------------
 1 files changed, 76 insertions(+), 109 deletions(-)

diff --git a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
index 51c9c47..2eb99cf 100644
--- a/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
+++ b/iailab-module-model/iailab-module-model-biz/src/main/java/com/iailab/module/model/mcs/pre/service/impl/MmItemResultServiceImpl.java
@@ -1,20 +1,22 @@
 package com.iailab.module.model.mcs.pre.service.impl;
 
 import com.alibaba.fastjson.JSONArray;
-import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
-import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
-import com.iailab.module.model.mcs.pre.dao.MmItemResultDao;
-import com.iailab.module.model.mcs.pre.entity.MmItemResultEntity;
+import com.iailab.framework.common.util.date.DateUtils;
+import com.iailab.module.model.common.enums.DataTypeEnum;
+import com.iailab.module.model.influxdb.pojo.InfluxModelResultLastSimPOJO;
+import com.iailab.module.model.influxdb.pojo.InfluxModelResultPOJO;
+import com.iailab.module.model.influxdb.pojo.InfluxModelResultSimPOJO;
+import com.iailab.module.model.influxdb.service.InfluxDBService;
+import com.iailab.module.model.influxdb.vo.InfluxModelResultVO;
+import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
 import com.iailab.module.model.mcs.pre.entity.MmItemResultJsonEntity;
+import com.iailab.module.model.mcs.pre.service.MmItemResultJsonService;
 import com.iailab.module.model.mcs.pre.service.MmItemResultService;
 import com.iailab.module.model.mdk.vo.DataValueVO;
 import org.springframework.beans.factory.annotation.Autowired;
 import org.springframework.stereotype.Service;
-import org.springframework.util.CollectionUtils;
 
 import java.math.BigDecimal;
-import java.text.ParseException;
-import java.text.SimpleDateFormat;
 import java.util.*;
 import java.util.stream.Collectors;
 
@@ -23,60 +25,34 @@
  * @date 2021年05月28日 10:34
  */
 @Service
-public class MmItemResultServiceImpl extends ServiceImpl<MmItemResultDao, MmItemResultEntity> implements MmItemResultService {
-
-    private final int max_group_count = 100;
-
-    private final String T_MM_ITEM_RESULT = "T_MM_ITEM_RESULT";
+public class MmItemResultServiceImpl implements MmItemResultService {
 
     @Autowired
-    private MmItemResultDao mmItemResultDao;
-    
-    @Override
-    public List<MmItemResultEntity> getListByOutputId(String outputid, Map<String, Object> params) {
-
-        SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
-        Date startDateParam = null;
-        try {
-            startDateParam = sdf.parse((String)params.get("startTime"));
-        } catch (ParseException e) {
-            e.printStackTrace();
-        }
-        Date endDateParam = null;
-        try {
-            endDateParam = sdf.parse((String)params.get("endTime"));
-        } catch (ParseException e) {
-            e.printStackTrace();
-        }
-
-        List<MmItemResultEntity> list = mmItemResultDao.selectList(
-                new QueryWrapper<MmItemResultEntity>()
-                        .eq("outputid", outputid)
-                        .between("datatime", startDateParam, endDateParam)
-                        .orderByAsc("datatime")
-        );
-        return list;
-    }
+    private MmItemResultJsonService mmItemResultJsonService;
+    @Autowired
+    private InfluxDBService influxDBService;
 
     @Override
     public void savePredictValue(Map<String, List<DataValueVO>> predictValueMap, int t, String nIndex, Date predictTime) {
-        List<MmItemResultEntity> importList = new ArrayList<>();
-        List<MmItemResultEntity> lastList = new ArrayList<>();
+        List<InfluxModelResultPOJO> importList = new ArrayList<>();
+        List<InfluxModelResultPOJO> lastList = new ArrayList<>();
+        List<MmItemResultJsonEntity> resultJsonList = new ArrayList<>();
+
         for (Map.Entry<String, List<DataValueVO>> entry : predictValueMap.entrySet()) {
             for (DataValueVO dataVo : entry.getValue()) {
-                MmItemResultEntity importData = new MmItemResultEntity();
-                importData.setId(String.valueOf(UUID.randomUUID()));
-                importData.setOutputid(entry.getKey());
-                importData.setDatatime(dataVo.getDataTime());
-                importData.setDatavalue(new BigDecimal(dataVo.getDataValue()));
-                importList.add(importData);
+                InfluxModelResultSimPOJO pojo = new InfluxModelResultSimPOJO();
+                pojo.setValue(dataVo.getDataValue());
+                pojo.setTimestamp(dataVo.getDataTime().toInstant());
+                pojo.setOutPutId(entry.getKey());
+                pojo.setType(DataTypeEnum.FLOAT.getCode());
+                importList.add(pojo);
             }
 
             List<DataValueVO> lastVoList = new ArrayList<>();
             int size = entry.getValue().size();
-            t = t > 0 ? t : 0;
+            t = Math.max(t, 0);
             int n = "n".equals(nIndex) ? size : Integer.parseInt(nIndex);
-            int length = (n - t) > 0 ? (n - t) : 0; //预测完不变的数据长度
+            int length = Math.max((n - t), 0); //预测完不变的数据长度
             if (size >= n) {
                 for (int i = 0; i < (size - length); i ++) {
                     int index = length + i;
@@ -87,80 +63,71 @@
             }
 
             for (DataValueVO dataVo : lastVoList) {
-                MmItemResultEntity importData = new MmItemResultEntity();
-                importData.setId(String.valueOf(UUID.randomUUID()));
-                importData.setOutputid(entry.getKey());
-                importData.setDatatime(dataVo.getDataTime());
-                importData.setDatavalue(new BigDecimal(dataVo.getDataValue()));
-                lastList.add(importData);
+                InfluxModelResultLastSimPOJO pojo = new InfluxModelResultLastSimPOJO();
+                pojo.setValue(dataVo.getDataValue());
+                pojo.setTimestamp(dataVo.getDataTime().toInstant());
+                pojo.setOutPutId(entry.getKey());
+                pojo.setType(DataTypeEnum.FLOAT.getCode());
+                lastList.add(pojo);
             }
 
             MmItemResultJsonEntity resultJson = new MmItemResultJsonEntity();
             resultJson.setId(UUID.randomUUID().toString());
             resultJson.setOutputid(entry.getKey());
             resultJson.setPredicttime(predictTime);
-            resultJson.setJsonvalue(JSONArray.toJSONString(entry.getValue()));
-            Map<String, Object> map4 = new HashMap(2);
-            map4.put("TABLENAME", "T_MM_ITEM_RESULT_JSON");
-            map4.put("entity", resultJson);
-            mmItemResultDao.savePredictJsonValue(map4);
+            List<Double> jsonValueList = entry.getValue().stream().map(valueVO -> valueVO.getDataValue()).collect(Collectors.toList());
+            resultJson.setJsonvalue(JSONArray.toJSONString(jsonValueList));
+            resultJsonList.add(resultJson);
         }
-
-        Map<String, Object> params = new HashMap(4);
-        params.put("TABLENAME", T_MM_ITEM_RESULT);
-        params.put("OUTPUTID", importList.get(0).getOutputid());
-        params.put("STARTTIME", importList.get(0).getDatatime());
-        params.put("ENDTIME", importList.get(importList.size() - 1).getDatatime());
-        mmItemResultDao.deletePredictValue(params);
-
-        int num1 = importList.size() / max_group_count;
-        int num2 = importList.size() % max_group_count;
-        if (num2 != 0) {
-            num1++;
-        }
-
-        List<MmItemResultEntity> tempList;
-        //先删除已经存在的数据,再插入新数据
-        for (int i = 0; i < num1; i++) {
-            int startIndex = max_group_count * i;
-            int count = max_group_count;
-            if (num2!=0 && i == num1 - 1) {
-                count = num2;
-            }
-            tempList = new ArrayList<>();
-            //获取某个索引范围内的对象集合
-            for (int j = startIndex; j < startIndex + count; j++) {
-                tempList.add(importList.get(j));
-            }
-            Map<String, Object> map2 = new HashMap<>(2);
-            map2.put("TABLENAME", T_MM_ITEM_RESULT);
-            map2.put("list", tempList);
-            mmItemResultDao.savePredictValue(map2);
-        }
-
-        Map<String, Object> map3 = new HashMap<>(2);
-        map3.put("TABLENAME", "T_MM_ITEM_RESULT_LAST_POINT");
-        map3.put("list", lastList);
-        mmItemResultDao.savePredictValue(map3);
+        // json结果存入mysql
+        mmItemResultJsonService.insert(resultJsonList);
+        // double结果存入influxdb
+        influxDBService.asyncWriteModelResults(importList);
+        influxDBService.asyncWriteModelResults(lastList);
     }
 
     @Override
     public List<DataValueVO> getPredictValue(String outputid, Date startTime, Date endTime) {
-        List<DataValueVO> result = new ArrayList<>();
-        QueryWrapper<MmItemResultEntity> queryWrapper = new QueryWrapper<MmItemResultEntity>()
-                .eq("outputid", outputid)
-                .between("datatime", startTime, endTime)
-                .orderByAsc("datatime");
-        List<MmItemResultEntity> list = mmItemResultDao.selectList(queryWrapper);
-        if (CollectionUtils.isEmpty(list)) {
-            return result;
-        }
-        result = list.stream().map(t -> {
+        InfluxModelResultPOJO pojo = new InfluxModelResultPOJO();
+        pojo.setType(DataTypeEnum.FLOAT.getCode());
+        pojo.setOutPutId(outputid);
+        List<InfluxModelResultVO> influxModelResultVOS = influxDBService.queryModelResults(pojo, startTime, endTime);
+        List<DataValueVO> result = influxModelResultVOS.stream().map(t -> {
             DataValueVO dv = new DataValueVO();
-            dv.setDataTime(t.getDatatime());
-            dv.setDataValue(t.getDatavalue().doubleValue());
+            dv.setDataTime(Date.from(t.getTimestamp()));
+            dv.setDataValue(Double.valueOf(t.getValue().toString()));
             return dv;
         }).collect(Collectors.toList());
         return result;
     }
+
+    @Override
+    public List<Object[]> getData(String outputid, Date startTime, Date endTime, String timeFormat) {
+        List<Object[]> result = new ArrayList<>();
+        InfluxModelResultPOJO pojo = new InfluxModelResultPOJO();
+        pojo.setType(DataTypeEnum.FLOAT.getCode());
+        pojo.setOutPutId(outputid);
+        List<InfluxModelResultVO> influxModelResultVOS = influxDBService.queryModelResults(pojo, startTime, endTime);
+        influxModelResultVOS.forEach(item -> {
+            Object[] dataItem = new Object[2];
+            dataItem[0] = DateUtils.format(Date.from(item.getTimestamp()), timeFormat);
+            dataItem[1] = BigDecimal.valueOf(Double.valueOf(item.getValue().toString())).setScale(2, BigDecimal.ROUND_HALF_UP);
+            result.add(dataItem);
+        });
+        return result;
+    }
+
+    @Override
+    public void savePredictValue(Map<MmItemOutputEntity, Double> predictDoubleValues, Date predictTime) {
+        List<InfluxModelResultPOJO> list = new ArrayList<>();
+        for (Map.Entry<MmItemOutputEntity, Double> entry : predictDoubleValues.entrySet()) {
+            InfluxModelResultSimPOJO pojo = new InfluxModelResultSimPOJO();
+            pojo.setValue(entry.getValue());
+            pojo.setTimestamp(predictTime.toInstant());
+            pojo.setOutPutId(entry.getKey().getId());
+            pojo.setType(DataTypeEnum.FLOAT.getCode());
+            list.add(pojo);
+        }
+        influxDBService.asyncWriteModelResults(list);
+    }
 }

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