package com.iailab.module.model.mcs.pre.service.impl;
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import com.alibaba.fastjson.JSONArray;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import com.iailab.framework.common.service.impl.BaseServiceImpl;
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import com.iailab.module.data.api.point.dto.ApiPointDTO;
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import com.iailab.module.model.mcs.pre.dao.MmItemResultDao;
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import com.iailab.module.model.mcs.pre.entity.MmItemOutputEntity;
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import com.iailab.module.model.mcs.pre.entity.MmItemResultEntity;
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import com.iailab.module.model.mcs.pre.entity.MmItemResultJsonEntity;
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import com.iailab.module.model.mcs.pre.service.MmItemOutputService;
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import com.iailab.module.model.mcs.pre.service.MmItemResultService;
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import com.iailab.module.model.mdk.vo.DataValueVO;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import org.springframework.util.CollectionUtils;
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import java.math.BigDecimal;
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import java.text.ParseException;
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import java.text.SimpleDateFormat;
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import java.util.*;
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import java.util.stream.Collectors;
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/**
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* @author PanZhibao
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* @date 2021年05月28日 10:34
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*/
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@Service("mmItemResultService")
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public class MmItemResultServiceImpl extends BaseServiceImpl<MmItemResultDao, MmItemResultEntity>
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implements MmItemResultService {
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private final int max_group_count = 100;
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private final String T_MM_ITEM_RESULT = "T_MM_ITEM_RESULT";
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@Autowired
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private MmItemOutputService mmItemOutputService;
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@Override
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public List<MmItemResultEntity> getListByOutputId(String outputid, Map<String, Object> params) {
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SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
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Date startDateParam = null;
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try {
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startDateParam = sdf.parse((String)params.get("startTime"));
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} catch (ParseException e) {
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e.printStackTrace();
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}
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Date endDateParam = null;
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try {
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endDateParam = sdf.parse((String)params.get("endTime"));
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} catch (ParseException e) {
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e.printStackTrace();
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}
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List<MmItemResultEntity> list = baseDao.selectList(
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new QueryWrapper<MmItemResultEntity>()
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.eq("outputid", outputid)
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.between("datatime", startDateParam, endDateParam)
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.orderByAsc("datatime")
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);
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return list;
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}
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@Override
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public void savePredictValue(Map<String, List<DataValueVO>> predictValueMap, int t, String nIndex, Date predictTime) {
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List<MmItemResultEntity> importList = new ArrayList<>();
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List<MmItemResultEntity> lastList = new ArrayList<>();
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for (Map.Entry<String, List<DataValueVO>> entry : predictValueMap.entrySet()) {
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for (DataValueVO dataVo : entry.getValue()) {
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MmItemResultEntity importData = new MmItemResultEntity();
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importData.setId(String.valueOf(UUID.randomUUID()));
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importData.setOutputid(entry.getKey());
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importData.setDatatime(dataVo.getDataTime());
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importData.setDatavalue(new BigDecimal(dataVo.getDataValue()));
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importList.add(importData);
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}
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List<DataValueVO> lastVoList = new ArrayList<>();
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int size = entry.getValue().size();
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t = t > 0 ? t : 0;
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int n = "n".equals(nIndex) ? size : Integer.parseInt(nIndex);
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int length = (n - t) > 0 ? (n - t) : 0; //预测完不变的数据长度
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if (size >= n) {
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for (int i = 0; i < (size - length); i ++) {
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int index = length + i;
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lastVoList.add(entry.getValue().get(index));
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}
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} else {
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lastVoList = entry.getValue();
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}
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for (DataValueVO dataVo : lastVoList) {
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MmItemResultEntity importData = new MmItemResultEntity();
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importData.setId(String.valueOf(UUID.randomUUID()));
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importData.setOutputid(entry.getKey());
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importData.setDatatime(dataVo.getDataTime());
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importData.setDatavalue(new BigDecimal(dataVo.getDataValue()));
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lastList.add(importData);
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}
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MmItemResultJsonEntity resultJson = new MmItemResultJsonEntity();
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resultJson.setId(UUID.randomUUID().toString());
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resultJson.setOutputid(entry.getKey());
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resultJson.setPredicttime(predictTime);
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resultJson.setJsonvalue(JSONArray.toJSONString(entry.getValue()));
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Map<String, Object> map4 = new HashMap(2);
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map4.put("TABLENAME", "T_MM_ITEM_RESULT_JSON");
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map4.put("entity", resultJson);
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baseDao.savePredictJsonValue(map4);
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}
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Map<String, Object> params = new HashMap(4);
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params.put("TABLENAME", T_MM_ITEM_RESULT);
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params.put("OUTPUTID", importList.get(0).getOutputid());
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params.put("STARTTIME", importList.get(0).getDatatime());
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params.put("ENDTIME", importList.get(importList.size() - 1).getDatatime());
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baseDao.deletePredictValue(params);
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int num1 = importList.size() / max_group_count;
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int num2 = importList.size() % max_group_count;
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if (num2 != 0) {
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num1++;
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}
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List<MmItemResultEntity> tempList;
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//先删除已经存在的数据，再插入新数据
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for (int i = 0; i < num1; i++) {
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int startIndex = max_group_count * i;
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int count = max_group_count;
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if (num2!=0 && i == num1 - 1) {
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count = num2;
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}
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tempList = new ArrayList<>();
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//获取某个索引范围内的对象集合
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for (int j = startIndex; j < startIndex + count; j++) {
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tempList.add(importList.get(j));
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}
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Map<String, Object> map2 = new HashMap<>(2);
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map2.put("TABLENAME", T_MM_ITEM_RESULT);
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map2.put("list", tempList);
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baseDao.savePredictValue(map2);
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}
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Map<String, Object> map3 = new HashMap<>(2);
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map3.put("TABLENAME", "T_MM_ITEM_RESULT_LAST_POINT");
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map3.put("list", lastList);
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baseDao.savePredictValue(map3);
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}
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@Override
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public List<DataValueVO> getPredictValue(String outputid, Date startTime, Date endTime) {
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List<DataValueVO> result = new ArrayList<>();
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QueryWrapper<MmItemResultEntity> queryWrapper = new QueryWrapper<MmItemResultEntity>()
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.eq("outputid", outputid)
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.between("datatime", startTime, endTime)
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.orderByAsc("datatime");
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List<MmItemResultEntity> list = baseDao.selectList(queryWrapper);
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if (CollectionUtils.isEmpty(list)) {
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return result;
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}
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result = list.stream().map(t -> {
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DataValueVO dv = new DataValueVO();
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dv.setDataTime(t.getDatatime());
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dv.setDataValue(t.getDatavalue().doubleValue());
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return dv;
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}).collect(Collectors.toList());
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return result;
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}
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}
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