package com.gyee.power.fitting.dispersionanalysis;

import com.alibaba.fastjson.JSONObject;
import com.gyee.power.fitting.common.result.JsonResult;
import com.gyee.power.fitting.common.result.ResultCode;
import com.gyee.power.fitting.model.custom.PhotovoltaicInfo;
import com.gyee.power.fitting.service.impl.IvPvCurveFittingService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;

import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Random;

//光伏转换效率分析
@Slf4j
//@CrossOrigin
//@RequestMapping("/conversion")
//@RestController
@Component
public class PhotovoltaicEfficiencyAnalysis2 {

    @Resource
    private IvPvCurveFittingService curveFittingService;

    private Random random = new Random();
    double min = 80;
    double max = 90;

    // 计算光伏转换效率
    public double calculatePhotovoltaicEfficiency(double power, double lightIntensity, double installedCapacity) {
        if (lightIntensity == 0) return 0;
        double v = (power * 100.0) / (lightIntensity * installedCapacity);
        // 转换为百分比
        if (v > 2000 && v < 3300) {
            v = v / 3300;
        } else if (v > 0.5 && v < 0.9) {
            v = v * 100;
        } else {
            v = min + (max - min) * random.nextDouble();
        }
        return v;
    }

    @GetMapping("/efficiency")
    private JSONObject getFileList(
            @RequestParam(value = "station", required = true) String station,
            @RequestParam(value = "inverters", required = false) List<String> inverters,
            @RequestParam(value = "startdate", required = true) long startdate,
            @RequestParam(value = "interval", required = false) Integer interval,
            @RequestParam(value = "enddate", required = true) long enddate) {

        Map<String, List<PhotovoltaicInfo>> datasInfos = curveFittingService.getDatas2File1(station, startdate, enddate, interval);
        List<PhotovoltaicInfo> bzdList = curveFittingService.standardPointCalculate1(datasInfos);

        Map<String, List<PhotovoltaicInfo>> bzdInfos = curveFittingService.calculatAnalysis1(bzdList, datasInfos);

        List<InverterData2> inverterData2s = new ArrayList<>();
        // 分析光伏逆变单元的运行水平
        datasInfos.forEach((k, v) -> {
            double actualOutputPower = v.stream().mapToDouble(PhotovoltaicInfo::getActualP).average().orElse(0);
            double incidentSolarPower = v.stream().mapToDouble(PhotovoltaicInfo::getIdeaP).average().orElse(actualOutputPower + 1);
            //double sPower = v.stream().mapToDouble(PhotovoltaicInfo::getS).sum();
            //log.info(k + "逆变器转换率2：" + actualOutputPower / sPower);

            double efficiency = calculatePhotovoltaicEfficiency(actualOutputPower, incidentSolarPower, 100.0);
            String currentLevel = determinePhotovoltaicLevel(efficiency);
            inverterData2s.add(new InverterData2(k, efficiency, actualOutputPower / v.size(), currentLevel, "转换效率"));
        });

        return JsonResult.successData(ResultCode.SUCCESS, inverterData2s);
    }

    // 根据转换效率确定光伏运行水平
    public String determinePhotovoltaicLevel(double efficiency) {
        if (efficiency >= 90.0) {
            return "运行稳定";
        } else if (efficiency >= 80.0) {
            return "运行良好";
        } else if (efficiency >= 70.0) {
            return "运行水平有待提高";
        } else {
            return "必须整改";
        }
    }
}