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.framework.common.util.date.DateUtils;
|
import com.iailab.module.model.mcs.pre.dao.MmItemResultDao;
|
import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
|
import com.iailab.module.model.mcs.pre.entity.MmItemResultEntity;
|
import com.iailab.module.model.mcs.pre.entity.MmItemResultJsonEntity;
|
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;
|
|
/**
|
* @author PanZhibao
|
* @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";
|
|
@Autowired
|
private MmItemResultDao mmItemResultDao;
|
|
@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<>();
|
|
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);
|
}
|
|
List<DataValueVO> lastVoList = new ArrayList<>();
|
int size = entry.getValue().size();
|
t = Math.max(t, 0);
|
int n = "n".equals(nIndex) ? size : Integer.parseInt(nIndex);
|
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;
|
lastVoList.add(entry.getValue().get(index));
|
}
|
} else {
|
lastVoList = entry.getValue();
|
}
|
|
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);
|
}
|
|
MmItemResultJsonEntity resultJson = new MmItemResultJsonEntity();
|
resultJson.setId(UUID.randomUUID().toString());
|
resultJson.setOutputid(entry.getKey());
|
resultJson.setPredicttime(predictTime);
|
List<Double> jsonValueList = entry.getValue().stream().map(valueVO -> {
|
return valueVO.getDataValue();
|
}).collect(Collectors.toList());
|
resultJson.setJsonvalue(JSONArray.toJSONString(jsonValueList));
|
Map<String, Object> map4 = new HashMap(2);
|
map4.put("TABLENAME", "T_MM_ITEM_RESULT_JSON");
|
map4.put("entity", resultJson);
|
mmItemResultDao.savePredictJsonValue(map4);
|
|
Map<String, Object> params = new HashMap(4);
|
params.put("TABLENAME", T_MM_ITEM_RESULT);
|
params.put("OUTPUTID", entry.getKey());
|
params.put("STARTTIME", importList.get(0).getDatatime());
|
params.put("ENDTIME", importList.get(importList.size() - 1).getDatatime());
|
mmItemResultDao.deletePredictValue(params);
|
}
|
mmItemResultDao.insertBatch(importList,max_group_count);
|
|
Map<String, Object> map3 = new HashMap<>(2);
|
map3.put("TABLENAME", "T_MM_ITEM_RESULT_LAST_POINT");
|
map3.put("list", lastList);
|
mmItemResultDao.savePredictValue(map3);
|
}
|
|
@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 -> {
|
DataValueVO dv = new DataValueVO();
|
dv.setDataTime(t.getDatatime());
|
dv.setDataValue(t.getDatavalue().doubleValue());
|
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<>();
|
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;
|
}
|
list.forEach(item -> {
|
Object[] dataItem = new Object[2];
|
dataItem[0] = DateUtils.format(item.getDatatime(), timeFormat);
|
dataItem[1] = item.getDatavalue().setScale(2, BigDecimal.ROUND_HALF_UP);
|
result.add(dataItem);
|
});
|
return result;
|
}
|
|
@Override
|
public void savePredictValue(Map<MmItemOutputEntity, Double> predictDoubleValues, Date predictTime) {
|
for (Map.Entry<MmItemOutputEntity, Double> entry : predictDoubleValues.entrySet()) {
|
MmItemResultJsonEntity resultJson = new MmItemResultJsonEntity();
|
resultJson.setId(UUID.randomUUID().toString());
|
resultJson.setOutputid(entry.getKey().getId());
|
resultJson.setPredicttime(predictTime);
|
resultJson.setCumulant(String.valueOf(entry.getValue()));
|
Map<String, Object> map4 = new HashMap(2);
|
map4.put("TABLENAME", "T_MM_ITEM_RESULT_JSON");
|
map4.put("entity", resultJson);
|
mmItemResultDao.savePredictJsonValue(map4);
|
}
|
}
|
}
|
