using Furion;
using Furion.DependencyInjection;
using Furion.RemoteRequest.Extensions;
using Nirvana.Common;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using YBDevice.Core;
using YBDevice.Entity;
using YBDevice.NApi.Application.UserInfo;

namespace YBDevice.NApi.Application.MeasureInfo
{

    /// <summary>
    /// 体脂计算算法
    /// </summary>
    public class BodyFatHelperService : IBodyFatHelperService, ITransient
    {
        private readonly IHttpClientFactory _clientFactory;
        private static string RequestUrl = App.Configuration["BodyApiSettings:ApiUrl"];
        private static string RequestaccessSecret = App.Configuration["BodyApiSettings:AccessSecret"];
        private static string RequestaccessKey = App.Configuration["BodyApiSettings:AccessKey"];
        public BodyFatHelperService(IHttpClientFactory clientFactory)
        {
            _clientFactory = clientFactory;
        }
        /// <summary>
        /// 结果计算
        /// </summary>
        /// <param name="model"></param>
        /// <returns></returns>
        public UserMeasureModel CalcBodyFat(MeasureCalcDto model)
        {
            //算法使用的性别为0-女,1-男
            int sex = model.sex == 2 ? 0 : 1;
            int age = model.age;
            double weight = model.weight.ToDouble();
            int height = model.height.ToInt();
            decimal dweight = weight.ToDecimal();
            model.StandardWeight = standweight(height, sex).ToDecimal(2);
            model.fat_w = (model.fat_r.ToDouble() * weight / 100).ToDecimal(2);
            model.lbm = ((1 - model.fat_r.ToDouble() / 100) * weight).ToDecimal(2);
            model.muscleval = (weight * (model.muscle.ToDouble() / 100)).ToDecimal(2);
            model.proteinval = (weight * (model.protein.ToDouble() / 100)).ToDecimal(2);
            if (model.imp <= 0)
            {
                decimal mheight = (height.ToDecimal()) / (100*1.0m);
                var returndata = new UserMeasureModel
                {
                    weight = model.height,
                    bmi = (((dweight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
                    standardWeight = standweight(height, sex).ToString("f2"),
                };
                returndata.bmiLevel = bmi(model.bmi.ToFloat());
                returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
                double levels = (weight - returndata.standardWeight.ToDouble()) / returndata.standardWeight.ToDouble();
                returndata.fatLevel = fatlevel(levels);
                returndata.fatlevlval = levels.ToString("f2");
                return returndata;
            }
            var data = new UserMeasureModel
            {
                bmi = model.bmi,
                bmiLevel = bmi(model.bmi.ToFloat()),
                fat_r = model.fat_r,
                fat_rLevel = Fat_r(model.fat_r.ToFloat(), sex, age),
                bodyage = model.bodyage,
                bodyageLevel = bodyage(model.bodyage, age),
                fat_w = model.fat_w,
                fat_wLevel = Fat_r(model.fat_r.ToFloat(), sex, age),
                bone = model.bone,
                boneLevel = bone(model.bone.ToFloat(), weight, sex),
                kcal = model.kcal < 0 ? 0 : model.kcal,
                kcalLevel = kcal(model.kcal.ToFloat(), weight, age, sex),
                muscle = model.muscle,
                muscleLevel = muscle(model.muscle.ToFloat(), weight, age, sex),
                protein = model.protein,
                proteinLevel = protein(model.protein.ToFloat(), weight, age, sex),
                visceral = model.visceral,
                visceralLevel = visceral(model.visceral.ToFloat(), weight, age, sex),
                water = model.water,
                waterLevel = water(model.water.ToFloat(), weight, age, sex),
                cmi = score(model.bmi.ToFloat()).ToDecimal(1),
                muscleval = model.muscleval,
                proteinval = model.proteinval,
                lbm = model.lbm,
                standardWeight = model.StandardWeight.ToString(),
                sfr = model.sfr.ToDecimal(2),
                sfrLevel = sfr(model.sfr.ToFloat(), weight, age, sex, height.ToInt()),
                body = "0",
                standardfat_r = fa_r_value(sex, age).ToJson(),
                standardbmi = bmi_value(sex, age).ToJson(),
                standardmuscle = muscle_value(sex, age).ToJson(),
                standardmuscleval  = muscleval_value(sex,age, dweight).ToJson(),
                standardwater = water_value(sex, age).ToJson(),
                standardbone = bone_value(sex, age, dweight).ToJson(),
                standardkcal = kcal_value(sex, age, dweight).ToJson(),
                standardfat_w = fat_w_value(sex,age, dweight).ToJson(),
                standardviscera = visceral_value(sex, age).ToJson(),
                standardprotein = protein_value(sex, age).ToJson(),
                standardproteinval = proteinval_value(sex,age,dweight).ToJson(),
                standardbodyage = "",
                standardsfr = sfr_value(sex, age).ToJson(),
                weight = model.weight.ToDecimal(),
                fatlevlval = model.fatlevlval
            };
            data.bodylevel = body(data.fat_rLevel, data.muscleLevel);
            data.musulevalLevel = data.muscleLevel;
            data.proteinvalLevel = data.proteinLevel;
            //   double level = (weight - data.standardWeight.ToDouble()) / data.standardWeight.ToDouble();
            data.fatLevel = model.IsCalc == 1 ? model.fatlevlval : fatlevel(model.fatlevlval.ToDouble());
            //   data.fatlevlval = level.ToString("f2");
            return data;
        }

        /// <summary>
        /// 二、四电极计算体脂
        /// </summary>
        /// <param name="weight">体重,单位为kg</param>
        /// <param name="height">身高,单位为米</param>
        /// <param name="age">年龄</param>
        /// <param name="adc">阻抗</param>
        /// <param name="sex">性别,1-男，2-女,0-未知</param>
        /// <returns></returns>
        public UserMeasureModel CalcBodyFat(double weight, double height, int age, int adc, int sex)
        {
            //算法使用的性别为0-女,1-男
            sex = sex == 2 ? 0 : 1;
            var result = GetBodyfatResults(weight, height / 100, age, adc, sex);
            decimal dwegiht = weight.ToDecimal();
            var data = new UserMeasureModel
            {
                bmi = result.bmi.ToDecimal(),
                bmiLevel = bmi(result.bmi.ToFloat()),
                fat_r = result.bfr.ToDecimal(),
                fat_rLevel = Fat_r(result.bfr.ToFloat(), sex, age),
                bodyage = result.physicAge.ToInt(),
                bodyageLevel = bodyage(result.physicAge.ToInt(), age),
                fat_w = (result.bfr.ToDouble() * weight / 100).ToDecimal(2),
                fat_wLevel = Fat_r(result.bfr.ToFloat(), sex, age),
                bone = result.bm.ToDecimal(),
                boneLevel = bone(result.bm.ToFloat(), weight, sex),
                kcal = result.bmr.ToDecimal() < 0 ? 0 : result.bmr.ToDecimal(),
                kcalLevel = kcal(result.bmr.ToFloat(), weight, age, sex),
                muscle = result.rom.ToDecimal(),
                muscleLevel = muscle(result.rom.ToFloat(), weight, age, sex),
                protein = result.pp.ToDecimal(),
                proteinLevel = protein(result.pp.ToFloat(), weight, age, sex),
                visceral = result.uvi.ToDecimal(),
                visceralLevel = visceral(result.uvi.ToFloat(), weight, age, sex),
                water = result.moi.ToDecimal(),
                waterLevel = water(result.moi.ToFloat(), weight, age, sex),
                cmi = score(result.bmi.ToFloat()).ToDecimal(1),
                muscleval = (weight * (result.rom.ToDouble() / 100)).ToDecimal(2),
                proteinval = (weight * (result.pp.ToDouble() / 100)).ToDecimal(2),
                lbm = ((1 - result.bfr.ToDouble() / 100) * weight).ToDecimal(2),
                standardWeight = standweight(height.ToInt(), sex).ToString("f2"),
                sfr = result.sfr.ToDecimal(2),
                sfrLevel = sfr(result.sfr.ToFloat(), weight, age, sex, height.ToInt()),
                body = "0",
                standardfat_r = fa_r_value(sex, age).ToJson(),
                standardbmi = bmi_value(sex, age).ToJson(),
                standardmuscle = muscle_value(sex, age).ToJson(),
                standardmuscleval = muscleval_value(sex,age, dwegiht).ToJson(),
                standardwater = water_value(sex, age).ToJson(),
                standardbone = bone_value(sex, age, dwegiht).ToJson(),
                standardkcal = kcal_value(sex, age, dwegiht).ToJson(),
                standardfat_w = fat_w_value(sex,age, dwegiht).ToJson(),
                standardviscera = visceral_value(sex, age).ToJson(),
                standardprotein = protein_value(sex, age).ToJson(),
                standardproteinval = proteinval_value(sex,age, dwegiht).ToJson(),
                standardbodyage = "",
                standardsfr = sfr_value(sex, age).ToJson(),
                weight = weight.ToDecimal(2),
                height = height.ToDecimal(2)
            };
            data.bodylevel = body(data.fat_rLevel, data.muscleLevel);
            data.musulevalLevel = data.muscleLevel;
            data.proteinvalLevel = data.proteinLevel;
            double level = (weight - data.standardWeight.ToDouble()) / data.standardWeight.ToDouble();
            data.fatLevel = fatlevel(level);
            data.fatlevlval = level.ToString("f2");
            return data;
        }
        /// <summary>
        /// 八电极计算体脂
        /// </summary>
        /// <param name="weight">体重,单位为kg</param>
        /// <param name="height">身高,单位为米</param>
        /// <param name="age">年龄</param>
        /// <param name="sex">性别,1-男，2-女,0-未知</param>
        /// <param name="body">全身阻抗</param>
        /// <param name="leftfoot">左脚阻抗</param>
        /// <param name="lefthand">左手阻抗</param>
        /// <param name="rightfoot">右脚阻抗</param>
        /// <param name="righthand">右手阻抗</param>
        public async Task<UserMeasureDto> CalcBody120FatAsync(decimal weight, decimal height, int age, int sex, decimal lefthand, decimal righthand, decimal leftfoot, decimal rightfoot, decimal body)
        {
            var requestdata = new
            {
                age = age,
                heightCm = height,
                peopleType = 0,
                sex = sex,
                weightKg = weight,
                zLeftBodyEnCode = body,
                zLeftArmEnCode = lefthand,
                zLeftLegEnCode = leftfoot,
                zRightArmEnCode = righthand,
                zRightLegEnCode = rightfoot
            };
            var hashtable = HashTableHelper.Object2Hashtable(requestdata);
            var strA = Common.SortRequestParam(hashtable);
            var accessSecret = RequestaccessSecret;
            var accessKey = RequestaccessKey;
            var timestamp = Common.GetTimestamps();
            strA = $"{strA}&timestamp={timestamp}&accessSecret={accessSecret}";
            var sign = Md5.md5(strA, 32).ToUpper();
            var url = RequestUrl;
            var loggerService = App.GetService<ILoggerService>();
            var response = await url
                .SetHeaders(new Dictionary<string, object>
                {
                    { "AccessKey",accessKey },
                    {"Timestamp",timestamp },
                    {"Sign",sign}
                })
                .SetClientTimeout(10)
                .SetBody(requestdata, "application/json", Encoding.UTF8)
               .PostAsync();
            var returnstr = await response.Content.ReadAsStringAsync();
            var mheight = height / 100;
            if (response.IsSuccessStatusCode)
            {
                var codedata = returnstr.ToObject<BodyReponseInfo>();
                if (codedata.code != 1000)
                {
                    loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}");
                    //return new UserMeasureDto()
                    //{
                    //    weight = weight,
                    //    bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
                    //    height = height,
                    //};
                    var returndata = new UserMeasureDto
                    {
                        weight = weight,
                        bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
                        idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
                        height = height
                    };
                    returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
                    returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
                    decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
                    returndata.fatLevel = fatlevel(levels.ToDouble());
                    return returndata;
                }
                else
                {
                    var responsedata = returnstr.ToObject<BodyReponseInfo<BodyResponseData>>();
                    var returndata = new UserMeasureDto()
                    {
                        weight = weight,
                        height = height
                    };
                    foreach (var item in responsedata.data)
                    {
                        var name = item.name.ToLower();
                        if (name == "bmi")
                        {
                            //  returndata.bmi = GetBodyValue(name, item).ToDecimal();
                            returndata.bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1);
                            returndata.bmiLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "bodyfatrate")
                        {
                            returndata.fat_r = GetBodyValue(name, item).ToDecimal();
                            returndata.fat_rLevel = GetBodyValueLevel(name, item);
                            returndata.fat_wLevel = returndata.fat_rLevel;
                        }
                        if (name == "bonekg")
                        {
                            returndata.bone = GetBodyValue(name, item).ToDecimal();
                            returndata.boneLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "waterrate")
                        {
                            returndata.water = GetBodyValue(name, item).ToDecimal();
                            returndata.waterLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "musclekg")
                        {
                            returndata.muscleval = GetBodyValue(name, item).ToDecimal();
                            returndata.muscleLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "proteinrate")
                        {
                            returndata.protein = GetBodyValue(name, item).ToDecimal();
                            returndata.proteinLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "skeletalmusclekg")
                        {
                            returndata.SkeletalMuscle = GetBodyValue(name, item).ToDecimal();
                            returndata.SkeletalMuscleLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "bodyfatsubcutrate")
                        {
                            returndata.sfr = GetBodyValue(name, item).ToDecimal();
                            returndata.sfrLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "bmr")
                        {
                            returndata.kcal = GetBodyValue(name, item).ToDecimal();
                            returndata.kcalLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "vfal")
                        {
                            returndata.visceral = GetBodyValue(name, item).ToDecimal();
                            returndata.visceralLevel = GetBodyValueLevel(name, item);
                        }
                        if (name == "bodyage")
                            returndata.bodyage = GetBodyValue(name, item).ToInt();
                        if (name == "bodyscore")
                            returndata.cmi = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodytype")
                            returndata.body = GetBodyValue(name, item);
                        if (name == "idealweightkg")
                            returndata.idealweight = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkg")
                            returndata.fat_w = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatfreemasskg")
                            returndata.lbm = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclerate")
                        {
                            returndata.muscle = GetBodyValue(name, item).ToDecimal();
                        }
                        if (name == "bodyfatsubcutkg")
                            returndata.sfrval = GetBodyValue(name, item).ToDecimal();
                        if (name == "muscleratetrunk")
                            returndata.muscleratetrunk = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclerateleftleg")
                            returndata.musclerateleftleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "muscleraterightleg")
                            returndata.muscleraterightleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclerateleftarm")
                            returndata.musclerateleftarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "muscleraterightarm")
                            returndata.muscleraterightarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatratetrunk")
                            returndata.bodyfatraterunk = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatrateleftleg")
                            returndata.bodyfatrateleftleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatraterightleg")
                            returndata.bodyfatraterightleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatrateleftarm")
                            returndata.bodyfatrateleftarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatraterightarm")
                            returndata.bodyfatraterightarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclekgtrunk")
                            returndata.musclekgtrunk = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclekgleftleg")
                            returndata.musclekgleftleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclekgrightleg")
                            returndata.musclekgrightleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclekgleftarm")
                            returndata.musclekgleftarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "musclekgrightarm")
                            returndata.musclekgrightarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkgtrunk")
                            returndata.bodyfatkgtrunk = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkgleftleg")
                            returndata.bodyfatkgleftleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkgrightleg")
                            returndata.bodyfatkgrightleg = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkgleftarm")
                            returndata.bodyfatkgleftarm = GetBodyValue(name, item).ToDecimal();
                        if (name == "bodyfatkgrightarm")
                            returndata.bodyfatkgrightarm = GetBodyValue(name, item).ToDecimal();
                    }
                    //returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
                    //returndata.muscleLevel = muscle(returndata.muscle.ToFloat(), returndata.weight.ToFloat(), age, sex);
                    //returndata.fat_rLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
                    //returndata.fat_wLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
                    //returndata.waterLevel = water(returndata.water.ToFloat(), returndata.weight.ToFloat(), age, sex);
                    //returndata.proteinLevel = protein(returndata.protein.ToFloat(), returndata.weight.ToFloat(), age, sex);
                    //returndata.boneLevel = bone(returndata.bone.ToFloat(), returndata.weight.ToFloat(), sex);
                    returndata.bodyageLevel = bodyage(returndata.bodyage.ToInt(), age);
                    //returndata.kcalLevel = kcal(returndata.kcal.ToFloat(), returndata.weight.ToFloat(), age, sex);
                    //returndata.visceralLevel = visceral(returndata.visceral.ToFloat(), returndata.weight.ToFloat(), age, sex);
                    //returndata.sfrLevel = sfr(returndata.sfr.ToFloat(), returndata.weight.ToFloat(), age, sex, height.ToInt());
                    var level = (weight - returndata.idealweight) / returndata.idealweight;
                    returndata.fatLevel = fatlevel(level.ToDouble());
                    return returndata;
                }
            }
            else
            {
                //记录日志
                loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}");
                //return new UserMeasureDto()
                //{
                //    weight = weight,
                //    bmi= (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1)
                //};
                var returndata = new UserMeasureDto
                {
                    weight = weight,
                    bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
                    idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
                    height = height
                };
                returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
                returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
                decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
                returndata.fatLevel = fatlevel(levels.ToDouble());
                return returndata;
            }
        }
        /// <summary>
        /// 获取八电极每项值
        /// </summary>
        /// <param name="name"></param>
        /// <param name="data"></param>
        /// <returns></returns>
        private static string GetBodyValue(string name, BodyResponseData data)
            => (name, data) switch
            {
                _ when name == "exerciseplanner" => data.value.ToString(), //训练计划
                _ => data.value.ToString()
            };
        /// <summary>
        /// 获取八电极每项值的标准
        /// </summary>
        /// <param name="name"></param>
        /// <param name="data"></param>
        /// <returns></returns>
        private static string GetBodyValueLevel(string name, BodyResponseData data)
           => (name, data) switch
           {
               _ when name == "exerciseplanner" => "", //训练计划
               _ => data.level.value.ToString().Length == 1 ? $"偏{data.level.value}" : data.level.value.ToString()
           };

        /// <summary>
        /// 身体得分
        /// </summary>
        /// <param name="bmi"></param>
        /// <returns></returns>
        public static double score(float bmi)
            => bmi switch
            {
                _ when bmi < 21.6 => bmi / 21.6 * 100,
                _ when bmi >= 21.6 => 21.6 / bmi * 100,
                _ => 60
            };


        /// <summary>
        /// 体型
        /// </summary>
        /// <param name="fat_r">体脂率</param>
        /// <param name="muscle">肌肉率</param>
        /// <returns></returns>
        public static string body(string fat_r, string muscle)
          => (fat_r, muscle) switch
          {
              _ when fat_r == NewLevelModel.Error || muscle == NewLevelModel.Error => NewLevelModel.Error,
              _ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.notenu => NewLevelModel.hidefat,
              _ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.normal => NewLevelModel.fat,
              _ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.fine => NewLevelModel.strongfat,
              _ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.notenu => NewLevelModel.notenumuscle,
              _ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.normal => NewLevelModel.normalfat,
              _ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.fine => NewLevelModel.normalmuscle,
              _ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.notenu => NewLevelModel.thin,
              _ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.normal => NewLevelModel.thinmuscle,
              _ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.fine => NewLevelModel.perfetmuscle,
              _ => NewLevelModel.hidefat
          };

        /// <summary>
        /// 肥胖等级
        /// </summary>
        /// <param name="level">level=(体重-标准体重)/标准体重</param>
        /// <returns></returns>
        public string fatlevel(double level)
            => level switch
            {
                _ when level < -0.2 => NewLevelModel.weightnotenu,
                _ when level >= -0.2 && level < -0.1 => NewLevelModel.thin,
                _ when level >= -0.1 && level <= 0.1 => NewLevelModel.normal,
                _ when level > 0.1 && level <= 0.2 => NewLevelModel.weight,
                _ when level > 0.2 => NewLevelModel.mweight,
                _ => NewLevelModel.weightnotenu
            };

        /// <summary>
        /// 皮下脂肪标准
        /// </summary>
        /// <param name="sfr"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <param name="height"></param>
        /// <returns></returns>
        public static string sfr(float sfr, double weight, int age, int sex, int height)
           => (weight, age, sex, height) switch
           {
               _ when sfr <= 0 => NewLevelModel.Error,
               _ when sex == 1 && sfr < 7 => NewLevelModel.notenu,
               _ when sex == 0 && sfr < 11 => NewLevelModel.notenu,
               _ when sex == 1 && sfr >= 7 && sfr < 15 => NewLevelModel.normal,
               _ when sex == 0 && sfr >= 11 && sfr < 17 => NewLevelModel.normal,
               _ when sex == 1 && sfr >= 15 => NewLevelModel.high,
               _ when sex == 0 && sfr >= 17 => NewLevelModel.high,
               _ => NewLevelModel.notenu
           };

        /// <summary>
        /// 标准体重
        /// </summary>
        /// <param name="height"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public double standweight(int height, int sex)
            => (height, sex) switch
            {
                _ when sex == 1 => (height - 80) * 0.7,
                _ => (height - 70) * 0.6
            };


        /// <summary>
        /// 体重标准
        /// </summary>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <param name="height"></param>
        /// <returns></returns>
        public static string weight(double weight, int age, int sex, int height)
         => (weight, age, sex, height) switch
         {
             _ when weight < 18.5 * Math.Pow(height / 100, 2) => NewLevelModel.thin,
             _ when weight >= 18.5 * Math.Pow(height / 100, 2) && weight < 25 * Math.Pow(height / 100, 2) => NewLevelModel.normal,
             _ when weight >= 25 * Math.Pow(height / 100, 2) && weight < 30 * Math.Pow(height / 100, 2) => NewLevelModel.fat,
             _ when weight >= 30 * Math.Pow(height / 100, 2) => NewLevelModel.mfat,
             _ => NewLevelModel.thin
         };

        /// <summary>
        /// bmi标准
        /// </summary>
        /// <param name="bmi"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <param name="height"></param>
        /// <returns></returns>
        public static string bmi(float bmi, double weight, int age, int sex, int height)
          => (weight, age, sex) switch
          {
              _ when bmi < 18.5 => NewLevelModel.thin,
              _ when bmi >= 18.5 && bmi < 25 => NewLevelModel.normal,
              _ when bmi >= 25 && bmi < 30 => NewLevelModel.fat,
              _ when bmi >= 30 => NewLevelModel.mfat,
              _ => NewLevelModel.thin
          };

        /// <summary>
        /// 水份标准
        /// </summary>
        /// <param name="water"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public static string water(float water, double weight, int age, int sex)
         => (water, weight, age, sex) switch
         {
             _ when water <= 0 => NewLevelModel.Error,
             _ when sex == 1 && water < 55 => NewLevelModel.notenu,
             _ when sex == 0 && water < 45 => NewLevelModel.notenu,
             _ when sex == 1 && water < 65 && water >= 55 => NewLevelModel.normal,
             _ when sex == 0 && water < 60 && water >= 45 => NewLevelModel.normal,
             _ when sex == 1 && water >= 65 => NewLevelModel.fine,
             _ when sex == 0 && water >= 60 => NewLevelModel.fine,
             _ => NewLevelModel.notenu
         };


        /// <summary>
        /// 内脂标准
        /// </summary>
        /// <param name="visceral"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <returns></returns>

        public static string visceral(float visceral, double weight, int age, int sex)
         => (visceral, weight, age, sex) switch
         {
             _ when visceral <= 0 => NewLevelModel.Error,
             _ when visceral < 9 && visceral > 0 => NewLevelModel.normal,
             _ when visceral < 14 && visceral >= 9 => NewLevelModel.alert,
             _ when visceral >= 14 => NewLevelModel.danger,
             _ => NewLevelModel.Error
         };

        /// <summary>
        /// 蛋白质标准
        /// </summary>
        /// <param name="protein"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <returns></returns>

        public static string protein(float protein, double weight, int age, int sex)
          => (protein, weight, age, sex) switch
          {
              _ when protein <= 0 => NewLevelModel.Error,
              _ when sex == 1 && protein < 16 => NewLevelModel.notenu,
              _ when sex == 0 && protein < 14 => NewLevelModel.notenu,
              _ when sex == 1 && protein >= 16 && protein < 18 => NewLevelModel.normal,
              _ when sex == 0 && protein >= 14 && protein < 16 => NewLevelModel.normal,
              _ when sex == 1 && protein >= 18 => NewLevelModel.fine,
              _ when sex == 0 && protein >= 16 => NewLevelModel.fine,
              _ => NewLevelModel.notenu
          };

        /// <summary>
        /// 肌肉率标准
        /// </summary>
        /// <param name="muscle"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public static string muscle(float muscle, double weight, int age, int sex)
           => (muscle, weight, age, sex) switch
           {
               _ when muscle <= 0 => NewLevelModel.Error,
               _ when sex == 1 && muscle < 40 => NewLevelModel.notenu,
               _ when sex == 0 && muscle < 30 => NewLevelModel.notenu,
               _ when sex == 1 && muscle >= 40 && muscle < 60 => NewLevelModel.normal,
               _ when sex == 0 && muscle >= 30 && muscle < 50 => NewLevelModel.normal,
               _ when sex == 1 && muscle >= 60 => NewLevelModel.fine,
               _ when sex == 0 && muscle >= 50 => NewLevelModel.fine,
               _ => NewLevelModel.notenu
           };

        /// <summary>
        /// 基础代谢计算标准
        /// </summary>
        /// <param name="kcal"></param>
        /// <param name="weight"></param>
        /// <param name="age"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public static string kcal(float kcal, double weight, int age, int sex)
            => (kcal, weight, age, sex) switch
            {
                _ when kcal <= 0 => NewLevelModel.Error,
                _ when age > 0 && age < 3 && ((kcal < (60.9 * weight - 54) && sex == 1) || (kcal < (61.0 * weight - 51) && sex == 0)) => NewLevelModel.flat,
                _ when age > 0 && age < 3 && ((kcal >= (60.9 * weight - 54) && sex == 1) || (kcal >= (61.0 * weight - 51) && sex == 0)) => NewLevelModel.fine,
                _ when age >= 3 && age < 10 && ((kcal < (22.7 * weight + 495) && sex == 1) || (kcal < (22.5 * weight + 499) && sex == 0)) => NewLevelModel.flat,
                _ when age >= 3 && age < 10 && ((kcal >= (22.7 * weight + 495) && sex == 1) || (kcal >= (22.5 * weight + 499) && sex == 0)) => NewLevelModel.fine,
                _ when age >= 10 && age < 18 && ((kcal < (17.5 * weight + 651) && sex == 1) || (kcal < (12.2 * weight + 746) && sex == 0)) => NewLevelModel.flat,
                _ when age >= 10 && age < 18 && ((kcal >= (17.5 * weight + 651) && sex == 1) || (kcal >= (12.2 * weight + 746) && sex == 0)) => NewLevelModel.fine,
                _ when age >= 18 && age < 30 && ((kcal < (15.3 * weight + 679) && sex == 1) || (kcal < (14.7 * weight + 496) && sex == 0)) => NewLevelModel.flat,
                _ when age >= 18 && age < 30 && ((kcal >= (15.3 * weight + 679) && sex == 1) || (kcal >= (14.7 * weight + 496) && sex == 0)) => NewLevelModel.fine,
                _ when age >= 30 && ((kcal < (11.6 * weight + 879) && sex == 1) || (kcal < (8.7 * weight + 820) && sex == 0)) => NewLevelModel.flat,
                _ when age >= 30 && ((kcal >= (11.6 * weight + 879) && sex == 1) || (kcal >= (8.7 * weight + 820) && sex == 0)) => NewLevelModel.fine,
                _ => NewLevelModel.flat
            };

        /// <summary>
        /// 骨重标准
        /// </summary>
        /// <param name="bone">骨重</param>
        /// <param name="weight"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public static string bone(float bone, double weight, int sex)
            => (bone, weight, sex) switch
            {
                _ when bone <= 0 => NewLevelModel.Error,
                _ when sex == 1 && ((weight < 60 && bone < 2.4) || (weight >= 60 && weight < 75 && bone < 2.8) || (weight >= 75 && bone < 3.1)) => NewLevelModel.notenu,
                _ when sex == 0 && ((weight < 45 && bone < 1.7) || (weight >= 45 && weight < 60 && bone < 2.1) || (weight >= 60 && bone < 2.4)) => NewLevelModel.notenu,
                _ when sex == 1 && ((weight < 60 && bone >= 2.4 && bone <= 2.6) || (weight >= 60 && weight < 75 && bone >= 2.8 && bone <= 30) || (weight >= 75 && bone >= 3.1 && bone <= 3.3)) => NewLevelModel.normal,
                _ when sex == 0 && ((weight < 45 && bone >= 1.7 && bone <= 1.9) || (weight >= 45 && weight < 60 && bone <= 2.3 && bone >= 2.1) || (weight >= 60 && bone <= 2.6 && bone >= 2.4)) => NewLevelModel.normal,
                _ when sex == 1 && ((weight < 60 && bone > 2.6) || (weight >= 60 && weight < 75 && bone > 3.0) || (weight >= 75 && bone > 3.3)) => NewLevelModel.fine,
                _ when sex == 0 && ((weight < 45 && bone > 1.9) || (weight >= 45 && weight < 60 && bone > 2.3) || (weight >= 60 && bone > 2.6)) => NewLevelModel.fine,
                _ => NewLevelModel.notenu
            };

        /// <summary>
        /// 体龄计算方法
        /// </summary>
        /// <param name="bodyage"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public static string bodyage(int bodyage, int age)
            => (bodyage, age) switch
            {
                _ when bodyage > age => NewLevelModel.big,
                _ when bodyage == age => NewLevelModel.normal,
                _ when bodyage <= 0 => NewLevelModel.Error,
                _ => NewLevelModel.fine
            };

        /// <summary>
        /// bmi 计算标准
        /// </summary>
        /// <param name="bmi">BMI</param>
        /// <returns></returns>
        public static string bmi(float bmi)
            => bmi switch
            {
                _ when bmi <= 0 => NewLevelModel.Error,
                _ when bmi < 18.5 => NewLevelModel.thin,
                _ when bmi >= 18.5 && bmi < 25 => NewLevelModel.normal,
                _ when bmi >= 25 && bmi < 30 => NewLevelModel.fat,
                _ when bmi >= 30 => NewLevelModel.mfat,
                _ => NewLevelModel.thin
            };

        /// <summary>
        /// 脂肪率标准计算
        /// </summary>
        /// <param name="fat_r">脂肪率</param>
        /// <param name="sex">0-女,1-男</param>
        /// <param name="age">年龄</param>
        /// <returns></returns>
        public static string Fat_r(float fat_r, int sex, int age)
            => (fat_r, sex, age) switch
            {
                _ when fat_r <= 0 => NewLevelModel.Error,
                _ when sex == 1 && age < 30 && fat_r < 10 => NewLevelModel.flat,
                _ when sex == 1 && age >= 30 && fat_r < 11 => NewLevelModel.flat,
                _ when sex == 0 && age < 30 && fat_r < 20 => NewLevelModel.flat,
                _ when sex == 0 && age >= 30 && fat_r < 21 => NewLevelModel.flat,
                _ when sex == 1 && age < 30 && fat_r >= 10 && fat_r < 21 => NewLevelModel.normal,
                _ when sex == 1 && age >= 30 && fat_r >= 11 && fat_r < 22 => NewLevelModel.normal,
                _ when sex == 0 && age < 30 && fat_r >= 20 && fat_r < 31 => NewLevelModel.normal,
                _ when sex == 0 && age >= 30 && fat_r >= 21 && fat_r < 32 => NewLevelModel.normal,
                _ when sex == 1 && age < 30 && fat_r > 21 && fat_r < 26 => NewLevelModel.high,
                _ when sex == 1 && age >= 30 && fat_r >= 22 && fat_r < 27 => NewLevelModel.high,
                _ when sex == 0 && age < 30 && fat_r >= 31 && fat_r < 38 => NewLevelModel.high,
                _ when sex == 0 && age >= 30 && fat_r >= 32 && fat_r < 39 => NewLevelModel.high,
                _ when sex == 1 && age < 30 && fat_r >= 26 => NewLevelModel.mhigh,
                _ when sex == 1 && age >= 30 && fat_r >= 27 => NewLevelModel.mhigh,
                _ when sex == 0 && age < 30 && fat_r >= 38 => NewLevelModel.mhigh,
                _ when sex == 0 && age >= 30 && fat_r >= 39 => NewLevelModel.mhigh,
                _ => NewLevelModel.flat
            };

        /// <summary>
        /// 新的指标标准
        /// </summary>
        public class NewLevelModel
        {
            /// <summary>
            /// 异常值
            /// </summary>
            public static string Error = "异常";
            /// <summary>
            /// 偏大
            /// </summary>
            public static string big = "偏大";

            /// <summary>
            /// 偏瘦
            /// </summary>
            public static string thin = "偏瘦";
            /// <summary>
            /// 标准
            /// </summary>
            public static string normal = "标准";
            /// <summary>
            /// 偏胖
            /// </summary>
            public static string fat = "偏胖";
            /// <summary>
            /// 肥胖
            /// </summary>
            public static string mfat = "肥胖";
            /// <summary>
            /// 偏重
            /// </summary>
            public static string weight = "偏重";
            /// <summary>
            /// 超重
            /// </summary>
            public static string mweight = "超重";
            /// <summary>
            /// 不足
            /// </summary>
            public static string notenu = "不足";
            /// <summary>
            /// 体重不足
            /// </summary>
            public static string weightnotenu = "体重不足";
            /// <summary>
            /// 偏高
            /// </summary>
            public static string high = "偏高";
            /// <summary>
            /// 高
            /// </summary>
            public static string mhigh = "超高";

            /// <summary>
            /// 警惕
            /// </summary>
            public static string alert = "警惕";
            /// <summary>
            /// 危险
            /// </summary>
            public static string danger = "危险";
            /// <summary>
            /// 偏低
            /// </summary>
            public static string flat = "偏低";
            /// <summary>
            /// 优
            /// </summary>
            public static string fine = "优秀";
            /// <summary>
            /// 隐形肥胖
            /// </summary>
            public static string hidefat = "隐形肥胖";
            /// <summary>
            /// 结实型偏胖
            /// </summary>
            public static string strongfat = "结实型偏胖";
            /// <summary>
            /// 缺乏肌肉型
            /// </summary>
            public static string notenumuscle = "缺乏肌肉型";
            /// <summary>
            /// 标准型
            /// </summary>
            public static string normalfat = "标准型";
            /// <summary>
            /// 标准肌肉型
            /// </summary>
            public static string normalmuscle = "标准肌肉型";
            /// <summary>
            /// 偏瘦肌肉型
            /// </summary>
            public static string thinmuscle = "偏瘦肌肉型";
            /// <summary>
            /// 健美肌肉型
            /// </summary>
            public static string perfetmuscle = "健美肌肉型";
        }

        /// <summary>
        /// 算法返回结果定义
        /// </summary>
        public class BodyfatItem
        {
            /// <summary>
            /// bmi
            /// </summary>
            public string bmi;
            /// <summary>
            /// 骨量
            /// </summary>
            public string bm;
            /// <summary>
            /// 肌肉率
            /// </summary>
            public string rom;
            /// <summary>
            /// 水分
            /// </summary>
            public string moi;
            /// <summary>
            /// 脂肪率
            /// </summary>
            public string bfr;
            /// <summary>
            /// 皮下脂肪率
            /// </summary>
            public string sfr;
            /// <summary>
            /// 骨骼肌率
            /// </summary>
            public string rosm;
            /// <summary>
            /// 蛋白率
            /// </summary>
            public string pp;
            /// <summary>
            /// 内脏脂肪指数
            /// </summary>
            public string uvi;
            /// <summary>
            /// 基础代谢率
            /// </summary>
            public string bmr;
            /// <summary>
            /// 身体年龄
            /// </summary>
            public string physicAge;
            /// <summary>
            /// 体重
            /// </summary>
            public double weight;
            /// <summary>
            /// 身高
            /// </summary>
            public double height;
            /// <summary>
            /// 年龄
            /// </summary>
            public int age;
            /// <summary>
            /// 阻抗
            /// </summary>
            public int adc;
            /// <summary>
            /// 性别,0-女,1-男
            /// </summary>
            public int sex;
        }
        /// <summary>
        /// 盛群八电极算法返回的结果
        /// </summary>
        public class HTBodyFatReturnData : HTBodyFatReturnItem
        {
            /// <summary>
            /// 返回状态
            /// GetBodyFatOk(所有参数有效)
            /// UserZTwoLegsError/UserAgeError/UserGenderError(除BMI及李想体重外都无效)(除BMI及理想体重外都无效)
            /// UserWeightError/UserHeightError(所有参数无效)
            /// </summary>
            public string ErrorType { get; set; }
            /// <summary>
            /// 体脂算法版本号,两位小数
            /// </summary>
            public decimal VersionNumber { get; set; }
            /// <summary>
            /// 更新信息
            /// </summary>
            public string UpdateInfo { get; set; } = "";
            /// <summary>
            /// 脚对脚阻抗值,范围200.0-1200.0
            /// </summary>
            public decimal ZTwoLegs { get; set; }
        }
        /// <summary>
        /// 盛群八电极算法返回的测量结果
        /// </summary>
        public class HTBodyFatReturnItem
        {
            /// <summary>
            /// 理想体重,若体重或身高参数有误,则返回0
            /// </summary>
            public decimal IdealWeightKg { get; set; }
            /// <summary>
            /// 人体质量指数,分辨率0.1，范围10.0-90.0
            /// </summary>
            public decimal BMI { get; set; }
            /// <summary>
            /// 人体质量标准,有三个uansu,分别对应,瘦-普通,普通-偏胖,偏胖-肥胖的分界值
            /// </summary>
            public List<decimal> BMIRatingList { get; set; }
            /// <summary>
            /// 基础代谢,分辨率1,范围500-10000
            /// </summary>
            public int BMR { get; set; }
            /// <summary>
            /// 基础代谢健康标准,需先调用BMR()，一个元素，对应"偏低－达标"的分界值
            /// </summary>
            public List<int> BMRRatingList { get; set; }
            /// <summary>
            /// 脂肪率(%), 分辨率0.1, 范围5.0% ~ 75.0%
            /// </summary>
            public decimal BodyfatPercentage { get; set; }
            /// <summary>
            /// 脂肪率健康标准，需先调用BodyfatPercentage()，返回的数组有四个元素，对应"偏瘦－标准"、“标准－警惕”、“警惕－偏胖”、“偏胖－肥胖”的分界值
            /// </summary>
            public List<decimal> BodyfatRatingList { get; set; }
            /// <summary>
            /// 骨量(kg), 分辨率0.1, 范围0.5 ~ 8.0
            /// </summary>
            public decimal BoneKg { get; set; }
            /// <summary>
            /// 骨量等级标准,需先调用BoneKg()，两个元素，对应"不足－标准"、“标准－优秀”的分界值
            /// </summary>
            public List<decimal> BoneRatingList { get; set; }
            /// <summary>
            /// 肌肉量(kg), 分辨率0.1, 范围10.0 ~ 120.0
            /// </summary>
            public decimal Muscle { get; set; }
            /// <summary>
            /// 肌肉量健康标准，需先调用Muscle()，两个元素，对应"不足－标准"、“标准－优秀”的分界值
            /// </summary>
            public List<decimal> MuscleRatingList { get; set; }
            /// <summary>
            /// 内脏脂肪, 分辨率1, 范围1 ~ 6
            /// </summary>
            public int VFAL { get; set; }
            /// <summary>
            /// 内脏脂肪等级标准,两个元素，对应"标准-警惕"、"警惕-危险"的分界值
            /// </summary>
            public List<int> VFALRatingList { get; set; }
            /// <summary>
            /// 水分率(%), 分辨率0.1, 范围35.0% ~ 75.0%
            /// </summary>
            public decimal WaterPercentage { get; set; }
            /// <summary>
            /// 水分率健康标准，两个元素，对应"不足－标准"、“标准－优秀”
            /// </summary>
            public List<decimal> WaterRatingList { get; set; }
            /// <summary>
            /// 体龄
            /// </summary>
            public int BodyAge { get; set; }
            /// <summary>
            /// ProteinPercentage
            /// </summary>
            public decimal ProteinPercentage { get; set; }
            /// <summary>
            /// 蛋白质健康标准，两个元素，对应"不足－标准"、“标准－优秀”
            /// </summary>
            public List<decimal> ProteinRatingList { get; set; }
        }

        /// <summary>
        /// 计算算法
        /// </summary>
        /// <param name="weight"></param>
        /// <param name="height"></param>
        /// <param name="age"></param>
        /// <param name="adc"></param>
        /// <param name="sex"></param>
        /// <returns></returns>
        public static BodyfatItem GetBodyfatResults(double weight, double height, int age, int adc, int sex)
        {
            BodyfatItem item = new BodyfatItem();
            if ((weight <= 0.0) || ((weight > 220.0) || ((height <= 0.0) || ((height > 270.0) || ((age <= 0) || ((age > 120) || ((adc <= 0) || ((adc > 0x3e8) || ((sex < 0) || (sex > 1))))))))))
            {
                object[] arg = new object[] { weight, height, age, adc, sex };
                Console.WriteLine("[input params invalid] weight:{0} height:{1} age:{2} adc:{3} sex:{4}", arg);
                if (weight != 0 && height != 0)
                    item.bmi = (((double)((int)((weight / (height * height)) * 10.0))) / 10.0).ToString("0.0");
                return item;
            }
            double num = ((double)((int)((weight / (height * height)) * 10.0))) / 10.0;
            double num2 = 0.0;
            double num3 = 0.0;
            double num4 = 0.0;
            double num5 = 0.0;
            double num6 = 0.0;
            double num7 = 0.0;
            double num8 = 0.0;
            double num9 = 0.0;
            double num10 = 0.0;
            double num11 = 0.0;
            if (sex == 1)
            {
                num2 = ((0.015 * weight) + (((2.0 - (0.00055 * adc)) * height) / 100.0)) + 1.15;
                num3 = ((((-((0.00115 * adc) + 0.01) * weight) + (((49.64 - (0.031 * adc)) * height) / 100.0)) + (adc * 0.08)) + (age * 0.04)) + 15.4;
                num4 = (((0xf_4240 / (num * ((2.688 * adc) - 78.28))) - (0x274a / adc)) - (0.22 * age)) + 52.6;
                num5 = ((((-930_000.0 / num) / ((1.966 * adc) - 58.46)) + (0x3378 / adc)) - (0.06 * age)) + 40.0;
                num6 = 0.898 * num5;
                num7 = 0.895 * num4;
                num8 = 0.8 * (((100.0 - num5) - num4) - (num2 / weight));
                num9 = ((((0.304 * weight) + ((25.58 * height) / 100.0)) + (0.131 * age)) + (0.005 * adc)) - 0x16;
                //num10 = (((((9.0 + (0.0015 * adc)) * weight) + (((0x546 - (0.88 * adc)) * height) / 100.0)) + (0xbc / age)) + (0.748 * adc)) - 0x41d;
                num10 = 370 + 21.6 * weight * (1 - num5 / 100);
                num11 = ((((age * (1.0 + (0.012 * (num - 1.0)))) - 0x15) + ((30 - age) * 0.35)) + ((adc - 450) * 0.02)) + 11.0;
            }
            else
            {
                num2 = ((((2.2E-05 * adc) * weight) + (((4.99 - (0.00284 * adc)) * height) / 100.0)) + (0.0012 * adc)) + 1.15;
                num3 = ((((-((0.00115 * adc) + 0.01) * weight) + (((49.64 - (0.031 * adc)) * height) / 100.0)) + (adc * 0.08)) + (age * 0.04)) + 6.0;
                num4 = (((0xf_4240 / (num * ((2.467 * adc) - 75.37))) - (0x3787 / adc)) - (0.034 * age)) + 43.2;
                num5 = ((((-3_030_000.0 / (num + 20.0)) / ((1.966 * adc) - 58.46)) + (0x6e10 / adc)) - (0.06 * age)) + 0x33;
                num6 = (0.876 * num5) + 1.66;
                num7 = (0.857 * num4) - 0.36;
                num8 = 0.75 * (((100.0 - num5) - num4) - (num2 / weight));
                num9 = ((((0.304 * weight) + ((25.58 * height) / 100.0)) + (0.131 * age)) + (0.005 * adc)) - 0x16;
                num10 = 370 + 21.6 * weight * (1 - num5 / 100);
                //num10 = ((((((0.00307 * adc) + 1.5) * weight) + (((0x5b3 - (0.989 * adc)) * height) / 100.0)) + (age * 0.9)) + (0.923 * adc)) - 950.0;
                num11 = (age * (0.95 + (0.02 * (num - 21.2)))) + ((adc - 500) * 0.02);
            }
            item.bmi = num.ToString("0.0");
            num2 = (num2 > (weight * 0.15)) ? (weight * 0.15) : num2;
            item.bm = ((num2 < (weight * 0.02)) ? (weight * 0.02) : num2).ToString("0.0");
            num3 = (num3 > 0x4b) ? 0x4b : num3;
            item.rom = ((num3 < 15.0) ? 15.0 : num3).ToString("0.0");
            num4 = (num4 > 70.0) ? 70.0 : num4;
            item.moi = ((num4 < 20.0) ? 20.0 : num4).ToString("0.0");
            num5 = (num5 > 50.0) ? 50.0 : num5;
            item.bfr = ((num5 < 5.0) ? 5.0 : num5).ToString("0.0");
            item.sfr = num6.ToString("0.0");
            item.rosm = num7.ToString("0.0");
            num8 = (num8 > 50.0) ? 50.0 : num8;
            item.pp = ((num8 < 10.0) ? 10.0 : num8).ToString("0.0");
            num9 = (num9 > 20.0) ? 20.0 : num9;
            item.uvi = ((num9 < 1.0) ? 1.0 : num9).ToString("0");
            item.bmr = num10.ToString("0.0");
            if (age < 0x12)
            {
                num11 = age;
            }
            else
            {
                num11 = (num11 > (age + 10)) ? ((double)(age + 10)) : num11;
                num11 = (num11 < (age - 10)) ? ((double)(age - 10)) : num11;
            }
            item.physicAge = num11.ToString("0");
            item.weight = weight;
            item.height = height;
            item.age = age;
            item.adc = adc;
            item.sex = sex;
            return item;
        }
        /// <summary>
        /// 盛群八电极算法
        /// </summary>
        /// <param name="weight">体重,KG</param>
        /// <param name="height">身高,CM</param>
        /// <param name="age">年龄,岁</param>
        /// <param name="sex">性别,1-男,2-女,0-未知</param>
        /// <param name="ohm">HT_MCU上传的加密电阻值</param>
        /// <returns></returns>
        public async Task<HTBodyFatReturnItem> HTBodyFatResultAsync(double weight, double height, int age, int sex, int ohm)
        {
            var _loggerservice = App.GetService<ILoggerService>();
            //算法使用的性别为,0-女,1-男
            sex = sex == 1 ? 1 : 0;
            var url = "http://123.57.232.130:100/HTBodyFatTwoLegs.ashx";
            var request = new HttpRequestMessage(HttpMethod.Post, url);
            var data = new
            {
                UserWeightKg = weight,
                UserHeightcm = height,
                UserAge = age,
                UserGender = sex,
                UserZTwoLegsohm = ohm
            };
            var postdata = data.ToJson();
            request.Content = new StringContent(postdata, Encoding.UTF8, "application/json");
            var client = _clientFactory.CreateClient();
            var response = await client.SendAsync(request);
            if (response.IsSuccessStatusCode)
            {
                var result = await response.Content.ReadAsStringAsync();
                if (result.ToLower().Contains("errortype"))
                {
                    var jsondata = result.ToObject<HTBodyFatReturnData>();
                    return jsondata;
                }
                _loggerservice.AddLogger($"八电极算法请求成功,参数:{postdata}\r\n地址:{url}\r\n返回值:{result}");
                return null;
            }
            else
            {
                _loggerservice.AddLogger($"八电极算法请求失败,参数:{postdata}\r\n地址:{url}\r\n返回值:{response.ToJson()}");
                return null;
            }
        }

        /// <summary>
        /// bmi范围标准
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> bmi_value(int sex, int age)
        {
            var list = new List<MeasureInfoItemValue>();
            list.Add(new MeasureInfoItemValue
            {
                maxvalue = 18.5m,
                minvalue = 0
            });
            list.Add(new MeasureInfoItemValue
            {
                maxvalue = 25,
                minvalue = 18.5m
            });
            list.Add(new MeasureInfoItemValue
            {
                maxvalue = 30,
                minvalue = 25
            });
            list.Add(new MeasureInfoItemValue
            {
                maxvalue = 50,
                minvalue = 30
            });
            return list;
        }
        /// <summary>
        /// 肌肉重量标准范围
        /// </summary>
        /// <param name="sex">性别</param>
        /// <param name="age">年龄</param>
        /// <param name="weight">重量,kg</param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> muscleval_value(int sex, int age, decimal weight)
        {
            var list = new List<MeasureInfoItemValue>();
            var values = muscle_value(sex, age);
            values.ForEach(x => {
                list.Add(new MeasureInfoItemValue
                {
                    maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
                    minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
                });
            });
            return list;
        }

        /// <summary>
        /// 脂肪重量标准范围
        /// </summary>
        /// <param name="sex">性别</param>
        /// <param name="age">年龄</param>
        /// <param name="weight">重量,kg</param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> fat_w_value(int sex, int age, decimal weight)
        {
            var list = new List<MeasureInfoItemValue>();
            var values = fa_r_value(sex, age);
            values.ForEach(x => {
                list.Add(new MeasureInfoItemValue { 
                    maxvalue = ((x.maxvalue/100.0m)*weight).ToDecimal(1),
                    minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
                });
            });
            return list;
        }

        /// <summary>
        /// 脂肪率/体脂率范围标准
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> fa_r_value(int sex, int age)
            => (sex, age) switch
            {
                _ when sex == 1 && age < 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=10,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=21,
                        minvalue=10
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=26,
                        minvalue=21
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=50,
                        minvalue=26
                    }
                },
                _ when sex == 1 && age >= 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=11,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=22,
                        minvalue=11
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=27,
                        minvalue=22
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=50,
                        minvalue=27
                    }
                },
                _ when sex == 0 && age < 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=20,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=31,
                        minvalue=20
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=38,
                        minvalue=31
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=50,
                        minvalue=38
                    }
                },
                _ when sex == 0 && age >= 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=21,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=32,
                        minvalue=21
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=39,
                        minvalue=32
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=50,
                        minvalue=39
                    }
                },
                _ => new List<MeasureInfoItemValue>()
            };
        /// <summary>
        /// 肌肉率范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> muscle_value(int sex, int age)
            => (sex, age) switch
            {
                _ when sex == 1 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=40,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=60,
                        minvalue=40
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=80,
                        minvalue=60
                    }
                },
                _ when sex == 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=30,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=50,
                        minvalue=30
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=80,
                        minvalue=50
                    }
                },
                _ => new List<MeasureInfoItemValue>()
            };
        /// <summary>
        /// 水份范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> water_value(int sex, int age)
          => (sex, age) switch
          {
              _ when sex == 1 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=55,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=65,
                        minvalue=55
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=80,
                        minvalue=65
                    }
              },
              _ when sex == 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=45,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=60,
                        minvalue=45
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=80,
                        minvalue=60
                    }
              },
              _ => new List<MeasureInfoItemValue>()
          };

        /// <summary>
        /// 骨量范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <param name="weight">体重</param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> bone_value(int sex, int age, decimal weight)
          => (sex, age, weight) switch
          {
              _ when sex == 1 && weight < 60 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.4m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.6m,
                        minvalue=2.4m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=2.6m
                    }
              },
              _ when sex == 1 && weight < 75 && weight >= 60 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.8m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=3.0m,
                        minvalue=2.8m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=3.0m
                    }
              },
              _ when sex == 1 && weight >= 75 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=3.1m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=3.3m,
                        minvalue=3.1m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=3.3m
                    }
              },
              _ when sex == 0 && weight < 45 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=1.7m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=1.9m,
                        minvalue=1.7m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=1.9m
                    }
              },
              _ when sex == 0 && weight < 60 && weight >= 45 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.1m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.3m,
                        minvalue=2.1m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=2.3m
                    }
              },
              _ when sex == 0 && weight >= 60 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.4m,
                        minvalue=0
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=2.6m,
                        minvalue=2.4m
                    },
                    new MeasureInfoItemValue
                    {
                        maxvalue=5,
                        minvalue=2.6m
                    }
              },
              _ => new List<MeasureInfoItemValue>()
          };
        /// <summary>
        /// 基础代谢范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <param name="weight"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> kcal_value(int sex, int age, decimal weight)
            => (sex, age, weight) switch
            {
                _ when sex == 1 && age < 3 && age > 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (60.9*weight.ToDouble()-54).ToDecimal(2),
                        maxvalue = (60.9*weight.ToDouble()-54).ToDecimal(2)
                    }
                },
                _ when sex == 1 && age < 10 && age >= 3 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (22.7*weight.ToDouble()+495).ToDecimal(2),
                        maxvalue = (22.7*weight.ToDouble()+495).ToDecimal(2),
                    }
                },
                _ when sex == 1 && age < 18 && age >= 10 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (17.5*weight.ToDouble()+651).ToDecimal(2),
                        maxvalue = (17.5*weight.ToDouble()+651).ToDecimal(2)
                    }
                },
                _ when sex == 1 && age < 30 && age >= 18 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (15.3*weight.ToDouble()+679).ToDecimal(2),
                        maxvalue = (15.3*weight.ToDouble()+679).ToDecimal(2)
                    }
                },
                _ when sex == 1 && age >= 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (11.6*weight.ToDouble()+879).ToDecimal(2),
                        maxvalue = (11.6*weight.ToDouble()+879).ToDecimal(2)
                    }
                },
                _ when sex == 0 && age < 3 && age > 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (61.0*weight.ToDouble()-51).ToDecimal(2),
                        maxvalue = (61.0*weight.ToDouble()-51).ToDecimal(2)
                    }
                },
                _ when sex == 0 && age < 10 && age >= 3 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (22.5*weight.ToDouble()+499).ToDecimal(2),
                        maxvalue = (22.5*weight.ToDouble()+499).ToDecimal(2),
                    }
                },
                _ when sex == 0 && age < 18 && age >= 10 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (12.2*weight.ToDouble()+746).ToDecimal(2),
                        maxvalue = (12.2*weight.ToDouble()+746).ToDecimal(2)
                    }
                },
                _ when sex == 0 && age < 30 && age >= 18 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (14.7*weight.ToDouble()+496).ToDecimal(2),
                        maxvalue = (14.7*weight.ToDouble()+496).ToDecimal(2)
                    }
                },
                _ when sex == 0 && age >= 30 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue = (8.7*weight.ToDouble()+820).ToDecimal(2),
                        maxvalue = (8.7*weight.ToDouble()+820).ToDecimal(2)
                    }
                },
                _ => new List<MeasureInfoItemValue>()
            };
        /// <summary>
        /// 内脂范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> visceral_value(int sex, int age)
            => (sex, age) switch
            {
                _ => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue=0,
                        maxvalue=9
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=9,
                        maxvalue=14
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=14,
                        maxvalue=20
                    }
                }
            };
        /// <summary>
        /// 蛋白量标准范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <param name="weight"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> proteinval_value(int sex,int age,decimal weight)
        {
            var list = new List<MeasureInfoItemValue>();
            var values = protein_value(sex, age);
            values.ForEach(x => {
                list.Add(new MeasureInfoItemValue
                {
                    maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
                    minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
                });
            });
            return list;
        }

        /// <summary>
        /// 蛋白质范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> protein_value(int sex, int age)
           => (sex, age) switch
           {
               _ when sex == 1 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue=0,
                        maxvalue=16
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=16,
                        maxvalue=18
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=18,
                        maxvalue=25
                    }
               },
               _ when sex == 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue=0,
                        maxvalue=14
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=14,
                        maxvalue=16
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=16,
                        maxvalue=25
                    }
               },
               _ => new List<MeasureInfoItemValue>()
           };
        /// <summary>
        /// 皮下脂肪范围
        /// </summary>
        /// <param name="sex"></param>
        /// <param name="age"></param>
        /// <returns></returns>
        public List<MeasureInfoItemValue> sfr_value(int sex, int age)
           => (sex, age) switch
           {
               _ when sex == 1 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue=0,
                        maxvalue=7
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=7,
                        maxvalue=15
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=15,
                        maxvalue=25
                    }
               },
               _ when sex == 0 => new List<MeasureInfoItemValue> {
                    new MeasureInfoItemValue
                    {
                        minvalue=0,
                        maxvalue=11
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=11,
                        maxvalue=17
                    },
                    new MeasureInfoItemValue
                    {
                        minvalue=17,
                        maxvalue=25
                    }
               },
               _ => new List<MeasureInfoItemValue>()
           };
    }
}