package com.iailab.module.ansteel.job.task;

import cn.hutool.core.date.DateUtil;
import com.alibaba.excel.util.DateUtils;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.iailab.module.ansteel.power.dao.PeakValleyFlatDao;
import com.iailab.module.ansteel.power.entity.PeakValleyFlatEntity;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.data.api.point.dto.ApiPointValueDTO;
import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO;
import com.iailab.module.data.api.point.dto.ApiPointValueWriteDTO;
import org.checkerframework.checker.units.qual.A;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;

import java.math.BigDecimal;
import java.text.ParseException;
import java.util.*;
import java.util.stream.Collectors;

import static com.alibaba.excel.util.DateUtils.DATE_FORMAT_16_FORWARD_SLASH;

/**
 * 峰谷平累计量计算
 *
 * @author DongYukun
 * @Description
 * @createTime 2025年5月5日
 */
@Component("runPeakValleyFlatTask")
public class RunPeakValleyFlatTask implements ITask {
    private Logger logger = LoggerFactory.getLogger(getClass());

    @Autowired
    private PeakValleyFlatDao peakValleyFlatDao;

    @Autowired
    private DataPointApi dataPointApi;

    @Override
    public void run(String params) {
        try {
            //查询峰谷平配置列表
            List<PeakValleyFlatEntity> list = peakValleyFlatDao.selectList(new QueryWrapper<>());

            //根据测点分组
            Map<String, List<PeakValleyFlatEntity>> groupedByPointNo = list.stream()
                    .collect(Collectors.groupingBy(PeakValleyFlatEntity::getPowerNo));

            groupedByPointNo.entrySet().stream().forEach(entry -> {

                //计算昨日的累积量
                double value = getSumValue(entry.getValue(),1);
                ApiPointValueWriteDTO dto = new ApiPointValueWriteDTO();
                dto.setPointNo(entry.getValue().get(0).getPointNo());
                dto.setValue(value);
                dataPointApi.writePointRealValue(dto);

                //计算前三十日累积量
                double value30 = 0 ;
                for (int i = 1; i < 31; i++) {
                    value30 = value30 + getSumValue(entry.getValue(),i);
                }
                ApiPointValueWriteDTO monthDto = new ApiPointValueWriteDTO();
                monthDto.setPointNo(entry.getValue().get(0).getPointNoMonth());
                monthDto.setValue(value30);
                dataPointApi.writePointRealValue(monthDto);
            });
        } catch (Exception ex) {
            logger.error("runPeakValleyFlatTask运行异常");
            ex.printStackTrace();
        }
    }

    private Date getTime(String timeStr , int ago) {
        String[] timeSplit = timeStr.split(":");
        if (timeSplit.length != 2) {
            throw new IllegalArgumentException("时间配置格式不合法");
        }
        //根据配置获取startTime、endTime、
        Calendar calendar = Calendar.getInstance();
        calendar.set(Calendar.HOUR_OF_DAY, Integer.parseInt(timeSplit[0]));
        calendar.set(Calendar.MINUTE, Integer.parseInt(timeSplit[1]));
        calendar.add(Calendar.DAY_OF_YEAR, -ago);
        return calendar.getTime();
    }

    private List<ApiPointValueDTO> fillMissingData(List<ApiPointValueDTO> valueList,
                                                   Date startTime,
                                                   Date endTime) {
        // 如果原始数据为空，返回空列表
        if (valueList == null || valueList.isEmpty()) {
            return new ArrayList<>();
        }
        List<ApiPointValueDTO> filledList = new ArrayList<>();
        ApiPointValueDTO lastValidData = null;

        // 计算总分钟数
        long totalMinutes = (endTime.getTime() - startTime.getTime()) / (60 * 1000);

        // 遍历每分钟
        for (int i = 0; i <= totalMinutes; i++) {
            Date currentTime = new Date(startTime.getTime() + i * 60 * 1000);

            // 查找当前分钟是否有数据
            ApiPointValueDTO currentData = findDataForTime(valueList, currentTime);

            if (currentData != null) {
                // 如果有数据，使用原始数据
                filledList.add(currentData);
                lastValidData = currentData;
            } else if (lastValidData != null) {
                // 如果没有数据但有最近的有效数据，则补充
                ApiPointValueDTO filledData = new ApiPointValueDTO()
                        .setT(currentTime)
                        .setV(lastValidData.getV());
                filledList.add(filledData);
            } else {
                // 如果既没有当前数据也没有最近数据，查找第一个有值的数据
                ApiPointValueDTO filledData = new ApiPointValueDTO()
                        .setT(currentTime)
                        .setV(valueList.get(0).getV());
                filledList.add(filledData);
                lastValidData = filledData;
            }
        }

        return filledList;
    }

    private  ApiPointValueDTO findDataForTime(List<ApiPointValueDTO> valueList, Date time) {
        for (ApiPointValueDTO data : valueList) {
            long time1 = data.getT().getTime() / (60 * 1000);
            long time2 = time.getTime() / (60 * 1000);
            if (time1 == time2) {
                return data;
            }
        }
        return null;
    }
    private double getSumValue(  List<PeakValleyFlatEntity> list ,int ago){
        double value = 0;
        for (int i = 0; i < list.size(); i++) {

            PeakValleyFlatEntity entity = list.get(i);

            ApiPointValueQueryDTO dto = new ApiPointValueQueryDTO();
            Date startTime = getTime(entity.getStartTime(),ago);
            Date endTime = getTime(entity.getEndTime(),ago);
            dto.setPointNo(entity.getPowerNo());
            dto.setStart(startTime);
            dto.setEnd(endTime);

            //查找数据
            List<ApiPointValueDTO> valueList = dataPointApi.queryPointHistoryValue(dto);
            //补全数据
            valueList = fillMissingData(valueList, startTime, endTime);
            //累加
            double sum = valueList.stream().mapToDouble(ApiPointValueDTO::getV).sum();
            value = value + sum;
        }
        return value/60;
    }

}