package com.moral.api.service.impl;

import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.moral.api.entity.CityAqiDaily;
import com.moral.api.entity.CityAqiYearly;
import com.moral.api.mapper.CityAqiYearlyMapper;
import com.moral.api.service.CityAqiDailyService;
import com.moral.api.service.CityAqiYearlyService;
import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
import com.moral.constant.Constants;
import com.moral.util.AmendUtils;
import com.moral.util.ComprehensiveIndexUtils;
import com.moral.util.DateUtils;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.ObjectUtils;

import java.text.DecimalFormat;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.OptionalDouble;
import java.util.stream.Collectors;
import java.util.stream.DoubleStream;

/**
 * <p>
 * 城市aqi年数据表 服务实现类
 * </p>
 *
 * @author moral
 * @since 2021-11-04
 */
@Service
public class CityAqiYearlyServiceImpl extends ServiceImpl<CityAqiYearlyMapper, CityAqiYearly> implements CityAqiYearlyService {

    @Autowired
    private CityAqiDailyService cityAqiDailyService;

    @Autowired
    private CityAqiYearlyMapper cityAqiYearlyMapper;


    @Override
    public void insertCityAqiYearly() {
        //需要均值计算的因子
        List<String> sensors = Arrays.asList("PM2_5", "PM10", "SO2", "NO2");

        //开始时间，去年1号
        Date start = DateUtils.getFirstDayOfLastYear();
        //上上年
        Date lastLastYear = DateUtils.getDate(DateUtils.getDateAddYear(DateUtils.dateToDateString(start, DateUtils.yyyy), -1), DateUtils.yyyy);
        //结束时间，本年1号
        Date end = DateUtils.getDate(DateUtils.getDateAddYear(DateUtils.dateToDateString(start, DateUtils.yyyy), 1), DateUtils.yyyy);


        //获取所有城市aqi小时数据
        QueryWrapper<CityAqiDaily> wrapper = new QueryWrapper<>();
        wrapper.select("city_code", "time", "value")
                .ge("time", DateUtils.dateToDateString(start))
                .lt("time", DateUtils.dateToDateString(end));
        List<Map<String, Object>> monthlyData = cityAqiDailyService.listMaps(wrapper);

        if (monthlyData.size() == 0) {
            return;
        }
        //按city_code分组
        Map<String, List<Map<String, Object>>> data = monthlyData.parallelStream().collect(Collectors.groupingBy(o -> o.get("city_code").toString()));

        CityAqiYearly cityAqiYearly = new CityAqiYearly();
        data.forEach((cityCode, value) -> {
            Map<String, Object> jsonMap = new HashMap<>();
            cityAqiYearly.setCityCode(Integer.parseInt(cityCode));
            cityAqiYearly.setTime(start);


            Map<String, Object> params = new HashMap<>();
            List<Map<String, Object>> temp = new ArrayList<>();

            for (Map<String, Object> map : value) {
                Map<String, Object> sensorsValue = JSONObject.parseObject(map.get("value").toString(), Map.class);
                Map<String, Object> tempMap = new HashMap<>();
                tempMap.put(Constants.SENSOR_CODE_CO, sensorsValue.get("PM2_5"));
                tempMap.put(Constants.SENSOR_CODE_O3, sensorsValue.get("O3"));
                Map<String, Object> hashMap = new HashMap<>();
                hashMap.put("value", JSONObject.toJSONString(tempMap));
                temp.add(hashMap);
            }
            params.put("data", temp);
            //1. CO 95百分位计算并修约
            Map<String, Object> coAvgOfWeekOrMonth = AmendUtils.getCOAvgOfWeekOrMonth(params);
            if (!ObjectUtils.isEmpty(coAvgOfWeekOrMonth)) {
                jsonMap.put("CO", coAvgOfWeekOrMonth.get(Constants.SENSOR_CODE_CO));
            }

            //2. O3 90百分位计算并修约
            Map<String, Object> o3AvgOfWeekOrMonth = AmendUtils.getO3AvgOfWeekOrMonth(params);
            if (!ObjectUtils.isEmpty(o3AvgOfWeekOrMonth)) {
                jsonMap.put("O3", o3AvgOfWeekOrMonth.get(Constants.SENSOR_CODE_O3));
            }

            sensors.forEach(sensor -> {
                OptionalDouble optionalDouble = value.parallelStream().flatMapToDouble(v -> {
                    Map<String, Object> dataValue = JSONObject.parseObject((String) v.get("value"), Map.class);
                    double aDouble = Double.parseDouble(dataValue.get(sensor).toString());
                    return DoubleStream.of(aDouble);
                }).average();
                if (optionalDouble.isPresent()) {
                    //银行家算法修约
                    jsonMap.put(sensor, AmendUtils.sciCal(optionalDouble.getAsDouble(), 0));
                }
            });

            //本月月综指计算
            Double compositeIndex = ComprehensiveIndexUtils.dailyData(jsonMap);
            jsonMap.put("compositeIndex", compositeIndex);

            //本月综指同上月对比
            QueryWrapper<CityAqiYearly> queryWrapper = new QueryWrapper<>();
            queryWrapper.select("value")
                    .eq("city_code", cityCode)
                    .eq("time", DateUtils.dateToDateString(lastLastYear));
            //获取上上月数据
            CityAqiYearly lastCityAqiYearly = cityAqiYearlyMapper.selectOne(queryWrapper);
            if (lastCityAqiYearly != null) {
                Map<String, Object> map = JSONObject.parseObject(lastCityAqiYearly.getValue(), Map.class);
                double lastCompositeIndex = Double.parseDouble(map.get("compositeIndex").toString());
                DecimalFormat decimalFormat = new DecimalFormat("0.00%");
                String format = decimalFormat.format((compositeIndex - lastCompositeIndex) / lastCompositeIndex);
                jsonMap.put("yearContrast", format);
            }
            cityAqiYearly.setValue(JSONObject.toJSONString(jsonMap));
            cityAqiYearlyMapper.insert(cityAqiYearly);
        });


    }
}