package com.ycl.calculate;

import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.ycl.platform.domain.entity.CheckIndexFace;
import com.ycl.platform.domain.entity.TMonitor;
import com.ycl.platform.domain.result.HK.MonitoringDetailResult;
import com.ycl.platform.domain.result.HK.SnapshotDataMonitorResult;
import com.ycl.platform.domain.vo.TMonitorVO;
import com.ycl.platform.mapper.CheckIndexFaceMapper;
import com.ycl.platform.mapper.TMonitorMapper;
import com.ycl.platform.service.ICheckIndexFaceService;
import com.ycl.platform.service.ITMonitorService;
import com.ycl.system.entity.SysDictData;
import com.ycl.system.mapper.SysConfigMapper;
import com.ycl.system.mapper.SysDictDataMapper;
import constant.*;
import enumeration.general.AreaDeptEnum;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import utils.DateUtils;

import java.math.BigDecimal;
import java.math.RoundingMode;
import java.time.LocalDate;
import java.time.temporal.TemporalAdjusters;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;

/**
 * 计算人脸点位在线率、视图库对接稳定性
 * 抓拍数据量监测结果接口数据
 * 获取分省厅、区域的map<k,v> k为deptId或者Province_deptId
 * 循环map计算点位在线率
 * 更新或新增
 */
@Component
@Slf4j
public class FaceSnapshotDataCalculation extends IndexCalculationServe implements CalculationStrategy<SnapshotDataMonitorResult> {
    @Autowired
    private CheckIndexFaceMapper checkIndexFaceMapper;
    @Autowired
    private ICheckIndexFaceService checkIndexFaceService;
    @Autowired
    private SysConfigMapper sysConfigMapper;
    @Autowired
    private TMonitorMapper monitorMapper;
    @Autowired
    private RedisTemplate redisTemplate;
    @Autowired
    private SysDictDataMapper dictDataMapper;
    //区域人脸点位在线指标的内部类
    private static class AreaStats {
        int totalSites = 0;
        int onlineSites = 0;
        int totalDataSum = 0;
    }

    @Override
    public void calculate(List<SnapshotDataMonitorResult> list) {
        if (CollectionUtils.isEmpty(list)) {
            log.info("数据为空");
            return;
        }
        //返回以国标码为key的设备map
        Map<String, TMonitorVO> monitorMap = monitorMapper.selectListByIds(list.stream().map(SnapshotDataMonitorResult::getExternalIndexCode).collect(Collectors.toList()))
                .stream().collect(Collectors.toMap(TMonitorVO::getSerialNumber, Function.identity()));
        //获取省厅国标码集合
        List<String> provinceIds = getProvince();

        Map<String, AreaStats> areaStatsMap = new HashMap<>();
        // 获取当前日期
        LocalDate today = LocalDate.now();
        // 获取本月的第一天
        LocalDate firstDayOfMonth = today.with(TemporalAdjusters.firstDayOfMonth());
        // 判断今天是否是本月的第一天
        if (today.equals(firstDayOfMonth)) {
            // 如果是，则清除Redis中记录中断次数的数据
            redisTemplate.delete(RedisConstant.Check_Face_ViewConnect);
        }
        for (SnapshotDataMonitorResult result : list) {
            TMonitorVO monitor = monitorMap.get(result.getExternalIndexCode());
            if (monitor == null) continue;

            String deptId = monitor.getDeptId().toString();
            updateAreaStats(areaStatsMap, deptId, result);

            // 处理省厅数据
            if (!CollectionUtils.isEmpty(provinceIds) && provinceIds.contains(monitor.getSerialNumber())) {
                String provinceKey = ApiConstants.Province + deptId;
                updateAreaStats(areaStatsMap, provinceKey, result);
            }
        }

//        //获取2022同期抓拍平均值 省厅、市局
//        BigDecimal cityCountAvg = getAverageCount(CheckSnapCountConstants.Face_City);
//        BigDecimal countyCountAvg = getAverageCount(CheckSnapCountConstants.Face_County);
        //从字典获取同期抓拍量
        List<SysDictData> faceSnap = dictDataMapper.selectDictDataByType(CheckConstants.DICT_FACE_SNAP);
        // 查询今日数据
        List<CheckIndexFace> checkIndexFaceList = checkIndexFaceMapper.selectToday(DateUtils.getDate());
        List<CheckIndexFace> checkIndexFaces = new ArrayList<>();
        areaStatsMap.forEach((deptId, stats) -> {
            if (stats.totalSites > 0) {
                CheckIndexFace checkIndexFace = createOrUpdateCheckIndexFace(deptId, stats, checkIndexFaceList,faceSnap);
                if (checkIndexFace != null) {
                    checkIndexFaces.add(checkIndexFace);
                }
            }
        });

        checkIndexFaceService.saveOrUpdateBatch(checkIndexFaces);
    }

    //累计总点位数、离线数、总抓拍量
    private void updateAreaStats(Map<String, AreaStats> areaStatsMap, String key, SnapshotDataMonitorResult result) {
        //返回对象的引用，如果不存在会放入新的key,value
        AreaStats stats = areaStatsMap.computeIfAbsent(key, k -> new AreaStats());
        stats.totalSites++;
        if (ApiConstants.HK_SnapCount_ResultType_Null != result.getResultType()) {
            stats.onlineSites++;
            stats.totalDataSum += result.getDataCount();
        }
    }

//    //获取2022同期抓拍平均值
//    private BigDecimal getAverageCount(String configKey) {
//        String count = sysConfigMapper.checkConfigKeyUnique(configKey).getConfigValue();
//        return new BigDecimal(count)
//                .multiply(new BigDecimal(CheckSnapCountConstants.Multiply))
//                .divide(new BigDecimal(CheckSnapCountConstants.CountyNum), 10, RoundingMode.HALF_UP)
//                .divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP);
//    }

    //车辆点位在线率和视图库对接稳定性
    private CheckIndexFace createOrUpdateCheckIndexFace(String key, AreaStats stats, List<CheckIndexFace> checkIndexFaceList,List<SysDictData> faceSnap) {
        CheckIndexFace checkIndexFace = getCheckIndex(key, checkIndexFaceList, CheckIndexFace.class);
        if (checkIndexFace == null) {
            return null;
        }
        //调用点位在线计算方法
        if (stats.totalSites >= CheckThreadConstants.Check_Face_SiteOnline) {
            Map<String, Object> siteOnlineParam = new HashMap<>();
            siteOnlineParam.put("totalSites", stats.totalSites);
            siteOnlineParam.put("onlineSites", stats.onlineSites);
            BigDecimal siteOnline = siteOnline(siteOnlineParam);
            checkIndexFace.setSiteOnline(siteOnline);
        } else {
            checkIndexFace.setSiteOnline(BigDecimal.ZERO);
        }
        //视图库对接稳定性
        //Redis记录该区县当月无数据上传次数
        Integer noDateCount = (Integer) redisTemplate.opsForHash().get(RedisConstant.Check_Face_ViewConnect, key);
        // 如果值为null，则初始化为0
        if (noDateCount == null) {
            noDateCount = 0;
        }
        Double deductScore = 0.1 * noDateCount;
        log.info("总量：{}",stats.totalDataSum);
        if (stats.totalDataSum != 0) {
            Integer deptId = key.startsWith(ApiConstants.Province) ? Integer.parseInt(key.split("_")[1]) : Integer.parseInt(key);
            String dictKey = key.startsWith(ApiConstants.Province) ? ApiConstants.Province+ AreaDeptEnum.fromDept(deptId).getCode() : ApiConstants.County+AreaDeptEnum.fromDept(deptId).getCode();
            String value = faceSnap.stream().filter(sysDictData -> sysDictData.getDictLabel().equals(dictKey)).findFirst().get().getDictValue();


            Map<String, Object> viewConnectParam = new HashMap<>();
            viewConnectParam.put("totalDataSum", stats.totalDataSum);
            viewConnectParam.put("avgCount", new BigDecimal(value).multiply(new BigDecimal(CheckConstants.MultiplyNum)).divide(new BigDecimal(LocalDate.now().getDayOfMonth()), 0, RoundingMode.HALF_UP));
            BigDecimal viewConnectStability = viewConnectStability(viewConnectParam);
            viewConnectStability = viewConnectStability.subtract(new BigDecimal(deductScore)).max(BigDecimal.ZERO).min(BigDecimal.ONE);
            checkIndexFace.setViewConnectStability(viewConnectStability);
        } else {
            noDateCount++;
        }
        // 将新的值放回Hash中
        redisTemplate.opsForHash().put(RedisConstant.Check_Face_ViewConnect, key, noDateCount);
        return checkIndexFace;
    }
}