HealthMonitor/HealthMonitor.Service/Biz/db/TDengineService.cs

using HealthMonitor.Common;
using HealthMonitor.Common.helper;
using HealthMonitor.Model.Config;
using HealthMonitor.Model.Service.Mapper;
using HealthMonitor.Service.Biz.db.Dto;
using HealthMonitor.Util.Models;
using Microsoft.EntityFrameworkCore.Metadata.Internal;
using Microsoft.Extensions.Logging;
using Microsoft.Extensions.Options;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
using SqlSugar;
using SqlSugar.DbConvert;
using SqlSugar.TDengine;
using System;
using System.Collections.Generic;
using System.Data;
using System.Linq;
using System.Linq.Expressions;
using System.Reflection;
using System.Text;
using System.Threading.Tasks;
using System.Xml.Linq;
using TDengineDriver;
using TDengineDriver.Impl;
using TDengineTMQ;
using HealthMonitor.Service.Cache;
using System.Text.RegularExpressions;
using Etcdserverpb;

namespace HealthMonitor.Service.Biz.db
{
    public class TDengineService
    {

        private readonly ILogger<TDengineService> _logger;
        private readonly HttpHelper _httpHelper=default!;
        private readonly TDengineServiceConfig _configTDengineService;
        private readonly SqlSugarClient _clientSqlSugar;  
        private readonly FhrPhrMapCacheManager _mgrFhrPhrMapCache;
        private readonly DeviceCacheManager _deviceCacheMgr;

        public TDengineService(ILogger<TDengineService> logger, 
            IOptions<TDengineServiceConfig> configTDengineService,
            HttpHelper httpHelper,
            FhrPhrMapCacheManager fhrPhrMapCacheManager, DeviceCacheManager deviceCacheMgr
            ) 
        {
            _logger = logger;
            _configTDengineService = configTDengineService.Value;
            _httpHelper = httpHelper;
            _mgrFhrPhrMapCache = fhrPhrMapCacheManager;
            _deviceCacheMgr = deviceCacheMgr;
            _clientSqlSugar = new SqlSugarClient(new ConnectionConfig()
            {
                DbType = SqlSugar.DbType.TDengine,
                ConnectionString = $"Host={_configTDengineService.Host};Port={_configTDengineService.Port};Username={_configTDengineService.UserName};Password={_configTDengineService.Password};Database={_configTDengineService.DB};TsType=config_ns",
                IsAutoCloseConnection = true,
                AopEvents = new AopEvents
                {
                    OnLogExecuting = (sql, p) =>
                    {
                        Console.WriteLine(SqlSugar.UtilMethods.GetNativeSql(sql, p));
                    }
                },
                ConfigureExternalServices = new ConfigureExternalServices()
                {
                    EntityService = (property, column) =>
                    {
                        if (column.SqlParameterDbType == null)
                        {
                            column.SqlParameterDbType = typeof(CommonPropertyConvert);
                        }
                    }
                }, 
                MoreSettings=new ConnMoreSettings()
                {
                    PgSqlIsAutoToLower = false,
                    PgSqlIsAutoToLowerCodeFirst = false,
                }

            });

        }
        public IntPtr Connection() 
        {
             
            string host = _configTDengineService.Host;
            string user = _configTDengineService.UserName;
            string db = _configTDengineService.DB;
            short port = _configTDengineService.Port;
            string password = _configTDengineService.Password;
//#if DEBUG
//            //string configDir = "C:/TDengine/cfg";
//            //TDengine.Options((int)TDengineInitOption.TSDB_OPTION_CONFIGDIR, configDir);
//            TDengine.Options((int)TDengineInitOption.TSDB_OPTION_TIMEZONE, "Asia/Beijing");
//#endif
            IntPtr conn = TDengine.Connect(host, user, password, db, port);


            if (conn == IntPtr.Zero)
            {
                _logger.LogError($"连接 TDengine 失败....");
            }
            else
            {
                _logger.LogInformation($"连接 TDengine 成功....");
            }
            return conn;
        }
        public void ExecuteSQL(IntPtr conn, string sql)
        {
            IntPtr res = TDengine.Query(conn, sql);
            // Check if query success
            if ((res == IntPtr.Zero) || (TDengine.ErrorNo(res) != 0))
            {
                Console.Write(sql + " failure, ");
                // Get error message while Res is a not null pointer.
                if (res != IntPtr.Zero)
                {
                    Console.Write("reason:" + TDengine.Error(res));
                }
            }
            else
            {
                Console.Write(sql + " success, {0} rows affected", TDengine.AffectRows(res));
                //... do something with res ...

                // Important: need to free result to avoid memory leak.
                TDengine.FreeResult(res);
            }
        }

        public void ExecuteQuerySQL(IntPtr conn, string sql)
        {
            IntPtr res = TDengine.Query(conn, sql);
            // Check if query success
            if ((res == IntPtr.Zero) || (TDengine.ErrorNo(res) != 0))
            {
                Console.Write(sql + " failure, ");
                // Get error message while Res is a not null pointer.
                if (res != IntPtr.Zero)
                {
                    Console.Write("reason:" + TDengine.Error(res));
                }
            }
            else
            {
                Console.Write(sql + " success, {0} rows affected", TDengine.AffectRows(res));
                //... do something with res ...

                List<TDengineDriver.TDengineMeta> resMeta = LibTaos.GetMeta(res);
                List<object> resData = LibTaos.GetData(res);

                foreach (var meta in resMeta)
                {
                    _logger.LogInformation("\t|{meta.name} {meta.TypeName()} ({meta.size})\t|", meta.name, meta.TypeName(), meta.size);
                }

                for (int i = 0; i < resData.Count; i++)
                {
                    _logger.LogInformation($"|{resData[i].ToString()} \t");
                    if (((i + 1) % resMeta.Count == 0))
                    {
                        _logger.LogInformation("");
                    }
                }

                // Important: need to free result to avoid memory leak.
                TDengine.FreeResult(res);
            }
        }

        public void CheckRes(IntPtr conn, IntPtr res, String errorMsg)
        {
            if (TDengine.ErrorNo(res) != 0)
            {
                throw new Exception($"{errorMsg} since: {TDengine.Error(res)}");
            }
        }

        public void ExecuteInsertSQL(string sql)
        {
            var conn = Connection();
            try
            {
                //sql = "INSERT INTO d1001 USING meters TAGS('California.SanFrancisco', 2) VALUES ('2018-10-03 14:38:05.000', 10.30000, 219, 0.31000) ('2018-10-03 14:38:15.000', 12.60000, 218, 0.33000) ('2018-10-03 14:38:16.800', 12.30000, 221, 0.31000) " +
                //               "d1002 USING power.meters TAGS('California.SanFrancisco', 3) VALUES('2018-10-03 14:38:16.650', 10.30000, 218, 0.25000) " +
                //               "d1003 USING power.meters TAGS('California.LosAngeles', 2) VALUES('2018-10-03 14:38:05.500', 11.80000, 221, 0.28000)('2018-10-03 14:38:16.600', 13.40000, 223, 0.29000) " +
                //               "d1004 USING power.meters TAGS('California.LosAngeles', 3) VALUES('2018-10-03 14:38:05.000', 10.80000, 223, 0.29000)('2018-10-03 14:38:06.500', 11.50000, 221, 0.35000)";
//#if DEBUG
//                //string configDir = "C:/TDengine/cfg";
//                //TDengine.Options((int)TDengineInitOption.TSDB_OPTION_CONFIGDIR, configDir);
//                TDengine.Options((int)TDengineInitOption.TSDB_OPTION_TIMEZONE, "Asia/Beijing");
//#endif
                _logger.LogInformation($"Insert SQL: {sql}");   
                IntPtr res = TDengine.Query(conn, sql);
                CheckRes(conn, res, "failed to insert data");
                int affectedRows = TDengine.AffectRows(res);
                _logger.LogInformation("affectedRows {affectedRows}" , affectedRows);
                TDengine.FreeResult(res);
            }
            finally
            {
                TDengine.Close(conn);
            }
        }

        #region TDengine.Connector  async query
        public void QueryCallback(IntPtr param, IntPtr taosRes, int code)
        {
            if (code == 0 && taosRes != IntPtr.Zero)
            {
                FetchRawBlockAsyncCallback fetchRowAsyncCallback = new FetchRawBlockAsyncCallback(FetchRawBlockCallback);
                TDengine.FetchRawBlockAsync(taosRes, fetchRowAsyncCallback, param);
            }
            else
            {
                _logger.LogInformation("async query data failed, failed code {code}",code);
            }
        }
        // Iteratively call this interface until "numOfRows" is no greater than 0.
        public void FetchRawBlockCallback(IntPtr param, IntPtr taosRes, int numOfRows)
        {
            if (numOfRows > 0)
            {
                _logger.LogInformation("{numOfRows} rows async retrieved", numOfRows);
                IntPtr pdata = TDengine.GetRawBlock(taosRes);
                List<TDengineMeta> metaList = TDengine.FetchFields(taosRes);
                List<object> dataList = LibTaos.ReadRawBlock(pdata, metaList, numOfRows);

                for (int i = 0; i < metaList.Count; i++)
                {
                    _logger.LogInformation("{0} {1}({2}) \t|", metaList[i].name, metaList[i].type, metaList[i].size);
                }
                _logger.LogInformation("");
                for (int i = 0; i < dataList.Count; i++)
                {
                    if (i != 0 && i % metaList.Count == 0)
                    {
                        _logger.LogInformation("{dataList[i]}\t|", dataList[i]);
                    }
                    _logger.LogInformation("{dataList[i]}\t|", dataList[i]);
                }
                TDengine.FetchRawBlockAsync(taosRes, FetchRawBlockCallback, param);
            }
            else
            {
                if (numOfRows == 0)
                {
                    _logger.LogInformation("async retrieve complete.");
                }
                else
                {
                    _logger.LogInformation("FetchRawBlockCallback callback error, error code {numOfRows}", numOfRows);
                }
                TDengine.FreeResult(taosRes);
            }
        }

        public void ExecuteQueryAsync(string sql)
        {
            var conn = Connection();
            QueryAsyncCallback queryAsyncCallback = new QueryAsyncCallback(QueryCallback);
            TDengine.QueryAsync(conn, sql, queryAsyncCallback, IntPtr.Zero);
        }

        //public void ExecuteQuery(string sql)
        //{
        //    var conn = Connection();
        //    QueryAsyncCallback queryAsyncCallback = new QueryAsyncCallback(QueryCallback);
        //    TDengine.QueryAsync(conn, sql, queryAsyncCallback, IntPtr.Zero);
        //}



        public Aggregate GetAggregateValue(string field, string tbName, string? condition)
        {
            List<int> data = new();

            var sql = $"SELECT MAX({field}), MIN({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";

            var conn = Connection();
            try
            {
                IntPtr res = TDengine.Query(conn, sql);
                // Check if query success
                if ((res == IntPtr.Zero) || (TDengine.ErrorNo(res) != 0))
                {
                    Console.Write(sql + " failure, ");
                    // Get error message while Res is a not null pointer.
                    if (res != IntPtr.Zero)
                    {
                        Console.Write("reason:" + TDengine.Error(res));
                    }
                }
                else
                {
                    Console.Write(sql + " success, {0} rows affected", TDengine.AffectRows(res));
                    //... do something with res ...

                    List<TDengineMeta> resMeta = LibTaos.GetMeta(res);
                    List<object> resData = LibTaos.GetData(res);

                    foreach (var meta in resMeta)
                    {
                        Console.Write($"\t|{meta.name} {meta.TypeName()} ({meta.size})\t|");
                    }
                    resData.ForEach(x => data.Add(SafeType.SafeInt(x)));

                    // Important: need to free result to avoid memory leak.
                    TDengine.FreeResult(res);
                }
            }
            finally
            {
                TDengine.Close(conn);
            }
           

            return new Aggregate
            {
                Max = data.Count.Equals(0) ? 0 : data[0],
                Min = data.Count.Equals(0) ? 0 : data[1],
            };
        }

        public int GetAvgExceptMaxMinValue(string field, string tbName, string? condition)
        {
            List<int> data = new();
            var sql = $"SELECT MAX({field}), MIN({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";

            var aggregate= GetAggregateValue(field, tbName, condition);

            var sqlAvg = $"SELECT AVG({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition} AND {field} < {aggregate.Max} and {field} > {aggregate.Min}";
         
            var conn = Connection();

            try
            {
                IntPtr res = TDengine.Query(conn, sqlAvg);
                // Check if query success
                if ((res == IntPtr.Zero) || (TDengine.ErrorNo(res) != 0))
                {
                    Console.Write(sqlAvg + " failure, ");
                    // Get error message while Res is a not null pointer.
                    if (res != IntPtr.Zero)
                    {
                        Console.Write("reason:" + TDengine.Error(res));
                    }
                }
                else
                {
                    Console.Write(sqlAvg + " success, {0} rows affected", TDengine.AffectRows(res));
                    //... do something with res ...

                    List<TDengineMeta> resMeta = LibTaos.GetMeta(res);
                    List<object> resData = LibTaos.GetData(res);

                    foreach (var meta in resMeta)
                    {
                        Console.Write($"\t|{meta.name} {meta.TypeName()} ({meta.size})\t|");
                    }
                    resData.ForEach(x => data.Add(SafeType.SafeInt(x)));

                    // Important: need to free result to avoid memory leak.
                    TDengine.FreeResult(res);
                }
            }
            finally
            {
                TDengine.Close(conn);
            }
            

            return data.Count.Equals(0) ? 0 : data[0];
        }
        #endregion

        #region RestAPI

        public async Task<string?> ExecuteQuerySQLRestResponse(string sql)
        {
            var url = $"http://{_configTDengineService.Host}:{_configTDengineService.RestPort}/rest/sql/{_configTDengineService.DB}";
            List<KeyValuePair<string, string>> headers = new()
                {
                    new KeyValuePair<string, string>("Authorization", "Basic " + _configTDengineService.Token)
                };
            var result = await _httpHelper.HttpToPostAsync(url, sql, headers).ConfigureAwait(false);
            return result;
        }

        public async Task<string?> ExecuteSelectRestResponseAsync( string tbName,   string condition="1", string field = "*")
        {
            var url = $"http://{_configTDengineService.Host}:{_configTDengineService.RestPort}/rest/sql/{_configTDengineService.DB}";
            var sql = $"SELECT {field} FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";
            
            List<KeyValuePair<string, string>> headers = new()
            {
                new KeyValuePair<string, string>("Authorization", "Basic " + _configTDengineService.Token)
            };
            _logger.LogInformation($"{nameof(ExecuteSelectRestResponseAsync)} --- SQL 语句执行 {sql}");
            var result = await _httpHelper.HttpToPostAsync(url, sql, headers).ConfigureAwait(false);
            return result;
        }
        public async Task<bool> GernalRestSql(string sql)
        {

            //"http://{server}:{port}/rest/sql/{db}"
            var url = $"http://{_configTDengineService.Host}:{_configTDengineService.RestPort}/rest/sql/{_configTDengineService.DB}";
            List<KeyValuePair<string, string>> headers = new()
                {
                    new KeyValuePair<string, string>("Authorization", "Basic " + _configTDengineService.Token)
                };
            var result = await _httpHelper.HttpToPostAsync(url, sql, headers).ConfigureAwait(false);
            var res = JsonConvert.DeserializeObject<TDengineRestResBase>(result!);
            if (result != null)
            {
                if (res?.Code == 0)
                {
                    _logger.LogInformation($"{nameof(GernalRestSql)},SQL 语句执行成功|{sql}");
                    return true;
                }
                else
                {
                    _logger.LogWarning($"{nameof(GernalRestSql)},SQL 语句执行失败||{sql}");
                    return false;
                }
            }
            else
            {
                _logger.LogError($"{nameof(GernalRestSql)},TDengine 服务器IP:{_configTDengineService.Host} 错误，请联系运维人员");
                return false;
            }
            //return res.Code==0;
        }

        public async Task<string?> GernalRestSqlResTextAsync(string sql) 
        {
            _logger.LogInformation($"执行 SQL: {nameof(GernalRestSqlResTextAsync)}--{sql}");
            var url = $"http://{_configTDengineService.Host}:{_configTDengineService.RestPort}/rest/sql/{_configTDengineService.DB}";
            List<KeyValuePair<string, string>> headers = new()
                {
                    new KeyValuePair<string, string>("Authorization", "Basic " + _configTDengineService.Token)
                };
            var result = await _httpHelper.HttpToPostAsync(url, sql, headers).ConfigureAwait(false);
            return result;
        }

        /** 取消
        /// <summary>
        /// 最大值,最小值聚合
        /// </summary>
        /// <param name="field"></param>
        /// <param name="tbName"></param>
        /// <param name="condition"></param>
        /// <returns></returns>
        public async Task<Aggregate> GetAggregateValueAsync(string field,string tbName,string? condition) 
        {
            var sql = $"SELECT MAX({field}), MIN({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";

           
            var result = await GernalRestSqlResTextAsync(sql);
            var res = JsonConvert.DeserializeObject<Aggregate>(result!);
            List<dynamic> data = res?.Data!;
           
            return new Aggregate
            {
                Max = data.Count.Equals(0) ? 0 : data[0][0],
                Min = data.Count.Equals(0) ? 0 : data[0][1],
            };
        }
        /// <summary>
        /// 去除最大值和最小值后的平均值
        /// </summary>
        /// <param name="field"></param>
        /// <param name="tbName"></param>
        /// <param name="condition"></param>
        /// <returns></returns>
        public async Task<int> GetAvgExceptMaxMinValueAsync(string field, string tbName, string? condition)
        {

            var sql = $"SELECT MAX({field}), MIN({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";

            var result = await GernalRestSqlResTextAsync(sql);
            var res = JsonConvert.DeserializeObject<TDengineRestResBase>(result!);
            _logger.LogInformation($"最大小值：{sql}");
            List<dynamic> data = res?.Data!;
            

            var sqlAvg = $"SELECT AVG({field}) FROM {_configTDengineService.DB}.{tbName} WHERE {condition} AND {field} < { (data.Count.Equals(0)? 0: data[0][0]) } and {field} > {(data.Count.Equals(0) ? 0 : data[0][1])}";
            result = await GernalRestSqlResTextAsync(sqlAvg);
            _logger.LogInformation($"sqlAvg：{sqlAvg}");
            res = JsonConvert.DeserializeObject<TDengineRestResBase>(result!);
            data = res?.Data!;

            return data.Count.Equals(0)?0:(int)data[0][0];
        }

        /// <summary>
        /// 获取最后的记录
        /// </summary>
        /// <param name="tbName"></param>
        /// <param name="condition"></param>
        /// <returns></returns>
        public async Task<JArray?> GetLastAsync(string tbName, string? condition)
        {
            var sql = $"SELECT last_row(*) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";


            var result = await GernalRestSqlResTextAsync(sql);
            var res = JsonConvert.DeserializeObject<TDengineRestResBase>(result!);
            if(res?.Data?.Count==0) return null;
            List<dynamic> data = res?.Data!;
            return data[0] as JArray;
        }

        public async Task<int> GetCount(string tbName, string? condition)
        {
            var sql = $"SELECT count(ts) FROM {_configTDengineService.DB}.{tbName} WHERE {condition}";
            var result = await GernalRestSqlResTextAsync(sql);
            var res = JsonConvert.DeserializeObject<TDengineRestResBase>(result!);
            List<dynamic> data = res?.Data!;
            return SafeType.SafeInt(data[0][0]);
        }

        */
        #endregion

        /// <summary>
        /// 平均值算法（去除最大值，最小值和大于标定值的平均值）
        /// </summary>
        /// <param name="numToRemove"></param>
        /// <param name="collection"></param>
        /// <param name="max"></param>
        /// <param name="min"></param>
        /// <returns></returns>
        public static decimal AverageAfterRemovingOneMinMaxRef(List<int> collection, int max, int min,int refValue)
        {
            collection.Remove(max);
            collection.Remove(min);
            collection.RemoveAll(_ => _ > refValue);
            if (collection.Count < 2)
            {
                throw new ArgumentException($"数据集{collection.ToArray()},去掉一个最大值 {max}和一个最小值{min},异常值(大于标定值{refValue}),后数据值不足");
            }
            
            return (decimal)collection.Average(x => x);
            //var values = ParseData.Select(valueSelector).ToList();
            //collection = values.Select(i => (int)i).ToArray();
            //if (values.Count <= 2)
            //{
            //    throw new ArgumentException("Not enough elements to remove.");
            //}

            //// Remove the specified number of minimum and maximum values
            ////values.RemoveAll(_ => _ == values.Min());
            ////values.RemoveAll(_ => _ == values.Max());
            //max = (int)values.Max();
            //min = (int)values.Min();
            //values.Remove(max);
            //values.Remove(min);

            //// Remove values less than the specified threshold
            //values.RemoveAll(_ => _ > numToRemove);

            //// Calculate and return the average of the remaining values
            //return values.Average();
        }

        /// <summary>
        /// 去除最大值和最小值各一个(列表的头和尾),再去除异常值
        /// </summary>
        /// <param name="systolicRefValue"></param>
        /// <param name="hmBpParser"></param>
        /// <returns></returns>
        public decimal[] AverageAfterRemovingOneMinMaxRef(int systolicRefValue, ParseTDengineRestResponse<BloodPressureModel>? hmBpParser)
        {
            var sortedList = hmBpParser?.Select(i => i)
                                        .Where(i => i.IsDisplay.Equals(true))
                                        .OrderByDescending(i => i.SystolicValue)
                                        .ThenByDescending(i => i.DiastolicValue)
                                        .ToList();
            _logger.LogInformation($"计算时间段排列数据集:{JsonConvert.SerializeObject(sortedList)}");
            // 去除最大值和最小值各一个(列表的头和尾)
            var trimmedList = sortedList?
                                .Skip(1)
                                .Take(sortedList.Count - 2)
                                .ToList();

            _logger.LogInformation($"计算去除最大值和最小值各一个数据集:{JsonConvert.SerializeObject(trimmedList)}");
            // 去除异常值
            var filteredList = trimmedList?.Where(bp => bp.SystolicValue < SafeType.SafeInt(systolicRefValue!)).ToList();

            _logger.LogInformation($"计算除异常值个数据集:{JsonConvert.SerializeObject(filteredList)}");

            if (filteredList?.Count < 2)
            {
                // throw new ArgumentException("数据不够不能计算");
                // 平均值为0，说明数据不足，不能计算增量值
                return new decimal[] { 0M, 0M };
            }
            var systolicAvg = filteredList?.Select(bp => bp.SystolicValue).Average();
            var diastolicAvg = filteredList?.Select(bp => bp.DiastolicValue).Average();

            return new decimal[] { (decimal)systolicAvg!, (decimal)diastolicAvg! };
        }

        /// <summary>
        /// 去除最大值和最小值各一个(列表的头和尾)
        /// </summary>
        /// <param name="systolicRefValue"></param>
        /// <param name="hmBpParser"></param>
        /// <returns></returns>
        public decimal[] AverageAfterRemovingOneMinMaxRef(ParseTDengineRestResponse<BloodPressureModel>? hmBpParser)
        {
            var sortedList = hmBpParser?.Select(i => i)
                                        .Where(i => i.IsDisplay.Equals(true))
                                        .OrderByDescending(i => i.SystolicValue)
                                        .ThenByDescending(i => i.DiastolicValue)
                                        .ToList();
            _logger.LogInformation($"计算时间段排列数据集:{JsonConvert.SerializeObject(sortedList)}");
            // 去除最大值和最小值各一个(列表的头和尾)
            var trimmedList = sortedList?
                                .Skip(1)
                                .Take(sortedList.Count - 2)
                                .ToList();

            _logger.LogInformation($"计算去除最大值和最小值各一个数据集:{JsonConvert.SerializeObject(trimmedList)}");

            var filteredList = trimmedList?.ToList();

            _logger.LogInformation($"计算除异常值个数据集:{JsonConvert.SerializeObject(filteredList)}");

            if (filteredList?.Count < 2)
            {
                // throw new ArgumentException("数据不够不能计算");
                // 平均值为0，说明数据不足，不能计算增量值
                return new decimal[] { 0M, 0M };
            }
            var systolicAvg = filteredList?.Select(bp => bp.SystolicValue).Average();
            var diastolicAvg = filteredList?.Select(bp => bp.DiastolicValue).Average();

            return new decimal[] { (decimal)systolicAvg!, (decimal)diastolicAvg! };
        }

        #region SqlSugarClient 
        /**
        public async Task InsertFetalHeartRateAsync()
        {
            var tableName = typeof(FetalHeartRateModel)
               .GetCustomAttribute<STableAttribute>()?
               .STableName;

            if (tableName == null)
            {
                throw new InvalidOperationException("STableAttribute not found on FetalHeartRateModel class.");
            }

           await _clientSqlSugar.Ado.ExecuteCommandAsync($"create table IF NOT EXISTS hm_fhr_00 using {tableName} tags('00')");

            _clientSqlSugar.Insertable(new FetalHeartRateModel()
            {
                Timestamp = DateTime.Now,
                CreateTime = DateTime.Now,
                FetalHeartRate = 90,
                FetalHeartRateId = Guid.NewGuid().ToString("D"),
                IsDisplay = false,
                Method = 1,
                PersonId = Guid.NewGuid().ToString("D"),
                MessageId = Guid.NewGuid().ToString("D"),
                SerialNumber = Guid.NewGuid().ToString("D"),
                DeviceKey = Guid.NewGuid().ToString("D"),
                SerialTailNumber = "00",
                LastUpdate = DateTime.Now,
            }).AS("hm_fhr_00").ExecuteCommand();

        }

        public Task<FetalHeartRateModel> GetFirst()
        {
            var tableName = typeof(FetalHeartRateModel)
              .GetCustomAttribute<STableAttribute>()?
              .STableName;

            var first = _clientSqlSugar
                .Queryable<FetalHeartRateModel>()
                .AS(tableName)
                .OrderByDescending(x => x.Timestamp).FirstAsync();
            return first;
        }

        */
       
        /// <summary>
        /// 插入记录
        /// </summary>
        /// <typeparam name="T"></typeparam>
        /// <param name="model"></param>
        /// <param name="tbName">子表名称</param>
        /// <returns></returns>
        /// <exception cref="InvalidOperationException"></exception>
        public async Task InsertAsync<T>(string tbName, T model)
        {
            var stbName = typeof(T)
                   .GetCustomAttribute<STableAttribute>()?
                   .STableName;

            if (stbName == null)
            {
                throw new InvalidOperationException($"STableAttribute not found on {nameof(T)} class.");
            }
            var tailNo = typeof(T).GetProperty("SerialTailNumber")?.GetValue(model)?.ToString();

            if (string.IsNullOrEmpty(tailNo))
            {
                throw new InvalidOperationException($"SerialNumberAttribute not found on {nameof(T)} class.");
            }
            var tbFullName = $"{tbName}_{tailNo}";
            await _clientSqlSugar.Ado.ExecuteCommandAsync($"create table IF NOT EXISTS {tbFullName} using {stbName} tags('{tailNo}')");

            //_clientSqlSugar.InsertableByDynamic(model).AS(tbFullName).ExecuteCommand();
            _clientSqlSugar.InsertableByObject(model).AS(tbFullName).ExecuteCommand();
        }

        public Task<T> GetLastAsync<T>() where T : class
        {
            var tableName = typeof(T)
                .GetCustomAttribute<STableAttribute>()?
                .STableName;
            // 创建一个表示 Timestamp 属性的表达式
            var parameter = Expression.Parameter(typeof(T), "x");
            var property = Expression.Property(parameter, "Timestamp");
            var lambda = Expression.Lambda<Func<T, object>>(Expression.Convert(property, typeof(object)), parameter);


            var first = _clientSqlSugar
                .Queryable<T>()
                .AS(tableName)
                .OrderByDescending(lambda).FirstAsync();
            return first;
        }

        public Task<T> GetLastAsync<T>(string serialNo) where T : class
        {
            var tableName = typeof(T)
                .GetCustomAttribute<STableAttribute>()?
                .STableName;
            // 创建表示 Timestamp 属性的表达式
            var parameter = Expression.Parameter(typeof(T), "x");
            var timestampProperty = Expression.Property(parameter, "Timestamp");
            var timestampLambda = Expression.Lambda<Func<T, object>>(Expression.Convert(timestampProperty, typeof(object)), parameter);

            // 创建表示 SerialNo 属性的表达式
            var serialNoProperty = Expression.Property(parameter, "SerialNumber");
            var serialNoConstant = Expression.Constant(serialNo);
            var equalExpression = Expression.Equal(serialNoProperty, serialNoConstant);
            var serialNoLambda = Expression.Lambda<Func<T, bool>>(equalExpression, parameter);

            var first = _clientSqlSugar
                .Queryable<T>()
                .AS(tableName)
                .Where(serialNoLambda)
                .OrderByDescending(timestampLambda).FirstAsync();
            return first;
        }

        public async Task<List<T>> GetBySerialNoAsync<T>(string serialNo) where T : class
        {
            var tableName = typeof(T)
                .GetCustomAttribute<STableAttribute>()?
                .STableName;
            // 创建表示 Timestamp 属性的表达式
            var parameter = Expression.Parameter(typeof(T), "x");
            var timestampProperty = Expression.Property(parameter, "Timestamp");
            var timestampLambda = Expression.Lambda<Func<T, object>>(Expression.Convert(timestampProperty, typeof(object)), parameter);

            // 创建表示 SerialNo 属性的表达式
            var serialNoProperty = Expression.Property(parameter, "SerialNumber");
            var serialNoConstant = Expression.Constant(serialNo);
            var equalExpression = Expression.Equal(serialNoProperty, serialNoConstant);
            var serialNoLambda = Expression.Lambda<Func<T, bool>>(equalExpression, parameter);

            var res = await _clientSqlSugar
                .Queryable<T>()
                .AS(tableName)
                .Where(serialNoLambda)
                .OrderByDescending(timestampLambda).ToListAsync();
            return res;
        }

        public async Task<List<T>> GetBySerialNoAsync<T>(string serialNo, int days) where T : class
        {
            var tableName = typeof(T)
                .GetCustomAttribute<STableAttribute>()?
                .STableName;

            // 创建表示 Timestamp 属性的表达式
            var parameter = Expression.Parameter(typeof(T), "x");
            var timestampProperty = Expression.Property(parameter, "Timestamp");
            var timestampLambda = Expression.Lambda<Func<T, object>>(Expression.Convert(timestampProperty, typeof(object)), parameter);

            // 创建表示 SerialNo 属性的表达式
            var serialNoProperty = Expression.Property(parameter, "SerialNumber");
            var serialNoConstant = Expression.Constant(serialNo);
            var equalExpression = Expression.Equal(serialNoProperty, serialNoConstant);

            // 创建表示 Timestamp 大于指定天数的表达式
            var daysAgo = DateTime.Now.AddDays(-days);
            var daysAgoConstant = Expression.Constant(daysAgo, typeof(DateTime));
            var greaterThanExpression = Expression.GreaterThan(timestampProperty, daysAgoConstant);

            // 合并 SerialNo 和 Timestamp 条件
            var combinedExpression = Expression.AndAlso(equalExpression, greaterThanExpression);
            var combinedLambda = Expression.Lambda<Func<T, bool>>(combinedExpression, parameter);

            var res = await _clientSqlSugar
                .Queryable<T>()
                .AS(tableName)
                .Where(combinedLambda)
                .OrderByDescending(timestampLambda).ToListAsync();

            return res;
        }


        public async Task<int> DeleteAllBySerialNoCMDAsync<T>(string serialNo) where T : class
        {
            var stbName = typeof(T)
                 .GetCustomAttribute<STableAttribute>()?
                 .STableName;
            var endTime=DateTime.Now;
            var startTime = DateTime.Now.AddYears(-1);
            var sql = $"DELETE FROM {stbName} WHERE ts >= '{startTime:yyyy-MM-dd HH:mm:ss}' AND ts <= '{endTime:yyyy-MM-dd HH:mm:ss}' AND serialno='{serialNo}'";
            return await _clientSqlSugar.Ado.ExecuteCommandAsync(sql);
        }
        #endregion

        #region 胎心算法

        ///// <summary>
        ///// 计算个人一般心率(最大值,最大值,最小值)
        ///// </summary>
        ///// <param name="serialNo"></param>
        ///// <param name="days"></param>
        ///// <param name="percentage"></param>
        ///// <returns></returns>
        //public async Task<PregnancyCommonHeartRateModel?> InitPregnancyCommonHeartRateModeAsync(string serialNo, int days = 7, int percentage = 90)
        //{
        //    var tableName = typeof(PregnancyHeartRateModel)
        //        .GetCustomAttribute<STableAttribute>()?
        //        .STableName;

        //    var daysAgo = DateTime.Now.AddDays(-days);
        //    var collection = await _clientSqlSugar
        //       .Queryable<PregnancyHeartRateModel>()
        //       .AS(tableName)
        //       .Where(i => i.SerialNumber.Equals(serialNo))
        //       .Where(i => i.Timestamp > daysAgo)
        //       .OrderByDescending(i => i.Timestamp)
        //       .ToArrayAsync();

        //    var res = collection
        //       .Select(i => i.PregnancyHeartRate).ToList();
        //    // 心率数据量必须30个以上才进行计算
        //    if (res.Count < 30)
        //    {
        //        _logger.LogInformation($"{serialNo} 心率数据不足，无法计算其众数");
        //        return null;
        //    }

        //    #region 计算众数
        //    var mode = res.GroupBy(n => n)
        //                  .OrderByDescending(g => g.Count())
        //                  .First()
        //                  .Key;

        //    Console.WriteLine("众数是: " + mode);

        //    // 如果有多个众数的情况
        //    var maxCount = res.GroupBy(n => n)
        //                      .Max(g => g.Count());

        //    var modes = res.GroupBy(n => n)
        //                   .Where(g => g.Count() == maxCount)
        //                   .Select(g => g.Key)
        //                   .ToList();
        //    // 多个众数,选择最接近平均数或中位数的众数
        //    if (modes.Count > 1)
        //    {
        //        // 计算平均值
        //        double average = res.Average();
        //        Console.WriteLine("平均值是: " + average);

        //        // 计算中位数
        //        double median;
        //        int count = res.Count;
        //        var sortedRes = res.OrderBy(n => n).ToList();
        //        if (count % 2 == 0)
        //        {
        //            // 偶数个元素，取中间两个数的平均值
        //            median = (sortedRes[count / 2 - 1] + sortedRes[count / 2]) / 2.0;
        //        }
        //        else
        //        {
        //            // 奇数个元素，取中间的数
        //            median = sortedRes[count / 2];
        //        }
        //        //Console.WriteLine("中位数是: " + median);
        //         _logger.LogInformation($"{serialNo} 中位数是: " + median);
        //        // 找出最接近平均值的众数
        //        //var closestToAverage = modes.OrderBy(m => Math.Abs(m - average)).First();
        //        //Console.WriteLine("最接近平均值的众数是: " + closestToAverage);

        //        // 找出最接近中位数的众数
        //        var closestToMedian = modes.OrderBy(m => Math.Abs(m - median)).First();
        //        _logger.LogInformation($"{serialNo} 最接近中位数的众数是: " + closestToMedian);
        //        mode = closestToMedian;
        //    }
        //    #endregion

        //    // 计算需要的数量
        //    int requiredCount = (int)(res.Count * 0.9);

        //    // 从原始数据集中获取最接近众数的元素
        //    var closestToModeData = res.OrderBy(n => Math.Abs(n - mode))
        //                               .Take(requiredCount)
        //                               .ToList();

        //    // 输出新数据集
        //    _logger.LogInformation($"{serialNo} 新数据集: " + string.Join(", ", closestToModeData));
        //    _logger.LogInformation($"{serialNo} 新数据集的数量: " + closestToModeData.Count);

        //    var fhrMap = _mgrFhrPhrMapCache.GetHeartRatesMap();
        //    var watchConfig = await _deviceCacheMgr.GetGpsDeviceWatchConfigCacheObjectBySerialNoAsync(serialNo, "0067");
        //    if (watchConfig == null)
        //    {
        //        return null;
        //    }
        //    // long.TryParse(watchConfig["EDOC"]!.ToString(), out long edoc);
        //    // "EDOC": "1720860180652"，当前时间 - (EDOC - 280) days =怀孕时间
        //    //edoc = edoc.ToString().Length == 10 ? edoc * 1000 : edoc;
        //    var edoc = DateTimeUtil.ToDateTime(watchConfig["EDOC"]!.ToString());
        //    int pregnancyWeek = (DateTime.Now - edoc.AddDays(-280)).Days / 7;

        //    _logger.LogInformation($"IMEI {serialNo},EDOC:{edoc},NOW:{DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss")},SinceNOW:{edoc.AddDays(-280).ToString("yyyy-MM-dd HH:mm:ss")},怀孕周数 {pregnancyWeek}");

        //    float statMaxValueFprCoefficient = 0f;
        //    float statMinValueFprCoefficient = 0f;
        //    float StatModeAvgFprCoefficient = 0f;
        //    // 20-45周之间
        //    if (pregnancyWeek >= 12 && pregnancyWeek <= 45)
        //    {
        //        var map = fhrMap
        //              .Where(i =>
        //                  i.PregnancyPeriod![0] <= pregnancyWeek &&
        //                  i.PregnancyPeriod[1] >= pregnancyWeek &&
        //                  i.PregnancyHeartRateRange![0] <= mode &&
        //                  i.PregnancyHeartRateRange[1] >= mode)
        //              .FirstOrDefault();

        //        if (map != null)
        //        {
        //            statMaxValueFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateRange![1] / res.Max(), 3);
        //            statMinValueFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateRange[0] / res.Min(), 3);
        //            StatModeAvgFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateAverage / mode, 3);
        //        }
        //    }

        //    return new PregnancyCommonHeartRateModel()
        //    {
        //        Timestamp = DateTime.Now,
        //        PersonId = collection.First().DeviceKey,
        //        DeviceKey = collection.First().DeviceKey,
        //        SerialNumber = collection.First().SerialNumber,
        //        Mode = mode,
        //        Percentage = percentage,
        //        MaxValue = closestToModeData.Max(),
        //        MinValue = closestToModeData.Min(),
        //        OriginalMaxValue = res.Max(),
        //        OriginalMinValue = res.Min(),
        //        CreateTime = DateTime.Now,
        //        StatStartTime = collection.OrderBy(i => i.Timestamp).Select(i => i.Timestamp).First(),
        //        StatEndTime = collection.OrderBy(i => i.Timestamp).Select(i => i.Timestamp).Last(),
        //        StatMaxValueFprCoefficient = statMaxValueFprCoefficient,
        //        StatMinValueFprCoefficient = statMinValueFprCoefficient,
        //        StatModeAvgFprCoefficient = StatModeAvgFprCoefficient,
        //        Remark = string.Empty,
        //        SerialTailNumber = serialNo.Substring(serialNo.Length - 2)
        //    };

        //}



        public async Task<PregnancyCommonHeartRateModel?> InitPregnancyCommonHeartRateModeAsync(string serialNo, int days = 7, int percentage = 90, int highFreqSampleInterval=0)
        {
            var tableName = typeof(PregnancyHeartRateModel)
                .GetCustomAttribute<STableAttribute>()?
                .STableName;

            var daysAgo = DateTime.Now.AddDays(-days);
            var collection = await _clientSqlSugar
               .Queryable<PregnancyHeartRateModel>()
               .AS(tableName)
               .Where(i => i.SerialNumber.Equals(serialNo))
               .Where(i => i.LastUpdate > daysAgo)
               .OrderByDescending(i => i.LastUpdate)
               .ToArrayAsync();

            // 去除高频数据
            var filteredCollection = new List<PregnancyHeartRateModel>();
            PregnancyHeartRateModel? previousItem = null;

            //foreach (var item in collection)
            //{
            //    if (previousItem == null || Math.Abs((previousItem.LastUpdate - item.LastUpdate).TotalSeconds) >= highFreqSampleInterval)
            //    {
            //        filteredCollection.Add(item);
            //        previousItem = item;
            //    }
            //}


            foreach (var item in collection)
            {
                if (previousItem!=null)
                {
                    var timeDiff = (previousItem.LastUpdate - item.LastUpdate).TotalSeconds;
                    Console.WriteLine($"previousItem:{previousItem.PregnancyHeartRate} -- item:{previousItem.PregnancyHeartRate} timeDiff:{timeDiff}--highFreqSampleInterval:{highFreqSampleInterval}");
                    if (timeDiff >= highFreqSampleInterval)
                    {
                        filteredCollection.Add(item);
                    }
                }
                previousItem = item;
            }

            // 心率数据量必须30个以上才进行计算
            if (filteredCollection.Count < 30)
            {
                _logger.LogInformation($"{serialNo} 心率数据不足，无法计算其众数");
                return null;
            }


            var res = filteredCollection
               .Select(i => i.PregnancyHeartRate).ToList();
            //// 心率数据量必须30个以上才进行计算
            //if (res.Count < 30)
            //{
            //    _logger.LogInformation($"{serialNo} 心率数据不足，无法计算其众数");
            //    return null;
            //}
            var listRes = filteredCollection.Select(i => new { last_update=i.LastUpdate.ToString("yyyy-MM-dd HH:mm:ss"),heart_rate=i.PregnancyHeartRate }).ToList();
            _logger.LogInformation($"highFreqSampleInterval:{highFreqSampleInterval},{serialNo} 去除高频数据后列表: {JsonConvert.SerializeObject(listRes)}");

            _logger.LogInformation($"{serialNo} 去除高频数据后的数据集: " + string.Join(", ", res));

            #region 计算众数
            var mode = res.GroupBy(n => n)
                          .OrderByDescending(g => g.Count())
                          .First()
                          .Key;

            Console.WriteLine("众数是: " + mode);

            // 如果有多个众数的情况
            var maxCount = res.GroupBy(n => n)
                              .Max(g => g.Count());

            var modes = res.GroupBy(n => n)
                           .Where(g => g.Count() == maxCount)
                           .Select(g => g.Key)
                           .ToList();
            // 多个众数,选择最接近平均数或中位数的众数
            if (modes.Count > 1)
            {
                // 计算平均值
                double average = res.Average();
                Console.WriteLine("平均值是: " + average);

                // 计算中位数
                double median;
                int count = res.Count;
                var sortedRes = res.OrderBy(n => n).ToList();
                if (count % 2 == 0)
                {
                    // 偶数个元素，取中间两个数的平均值
                    median = (sortedRes[count / 2 - 1] + sortedRes[count / 2]) / 2.0;
                }
                else
                {
                    // 奇数个元素，取中间的数
                    median = sortedRes[count / 2];
                }
                //Console.WriteLine("中位数是: " + median);
                _logger.LogInformation($"{serialNo} 中位数是: " + median);
                // 找出最接近平均值的众数
                //var closestToAverage = modes.OrderBy(m => Math.Abs(m - average)).First();
                //Console.WriteLine("最接近平均值的众数是: " + closestToAverage);

                // 找出最接近中位数的众数
                var closestToMedian = modes.OrderBy(m => Math.Abs(m - median)).First();
                _logger.LogInformation($"{serialNo} 最接近中位数的众数是: " + closestToMedian);
                mode = closestToMedian;
            }
            #endregion

            // 计算需要的数量
            int requiredCount = (int)(res.Count * 0.9);

            // 从原始数据集中获取最接近众数的元素
            var closestToModeData = res.OrderBy(n => Math.Abs(n - mode))
                                       .Take(requiredCount)
                                       .ToList();

            // 输出新数据集
            _logger.LogInformation($"{serialNo} 新数据集: " + string.Join(", ", closestToModeData));
            _logger.LogInformation($"{serialNo} 新数据集的数量: {closestToModeData.Count},最大值: {closestToModeData.Max()},最小值 {closestToModeData.Min()},原始最大值: {res.Max()},原始最小值 {res.Min()}" );

            var fhrMap = _mgrFhrPhrMapCache.GetHeartRatesMap();
            var watchConfig = await _deviceCacheMgr.GetGpsDeviceWatchConfigCacheObjectBySerialNoAsync(serialNo, "0067");
            if (watchConfig == null)
            {
                return null;
            }
            // long.TryParse(watchConfig["EDOC"]!.ToString(), out long edoc);
            // "EDOC": "1720860180652"，当前时间 - (EDOC - 280) days =怀孕时间
            //edoc = edoc.ToString().Length == 10 ? edoc * 1000 : edoc;
            var edoc = DateTimeUtil.ToDateTime(watchConfig["EDOC"]!.ToString());
            int pregnancyWeek = (DateTime.Now - edoc.AddDays(-280)).Days / 7;

            _logger.LogInformation($"IMEI {serialNo},EDOC:{edoc},NOW:{DateTime.Now.ToString("yyyy-MM-dd HH:mm:ss")},SinceNOW:{edoc.AddDays(-280).ToString("yyyy-MM-dd HH:mm:ss")},怀孕周数 {pregnancyWeek}");

            float statMaxValueFprCoefficient = 0f;
            float statMinValueFprCoefficient = 0f;
            float StatModeAvgFprCoefficient = 0f;
            // 20-45周之间
            if (pregnancyWeek >= 12 && pregnancyWeek <= 45)
            {
                var map = fhrMap
                      .Where(i =>
                          i.PregnancyPeriod![0] <= pregnancyWeek &&
                          i.PregnancyPeriod[1] >= pregnancyWeek &&
                          i.PregnancyHeartRateRange![0] <= mode &&
                          i.PregnancyHeartRateRange[1] >= mode)
                      .FirstOrDefault();

                if (map != null)
                {
                    statMaxValueFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateRange![1] / res.Max(), 3);
                    statMinValueFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateRange[0] / res.Min(), 3);
                    StatModeAvgFprCoefficient = (float)Math.Round((decimal)map.FetalHeartRateAverage / mode, 3);
                }
            }
            // 如果最大值与最小值在60~100范围内，都按个固定值下发高频阈值。
            var maxValue = closestToModeData.Max();
            var minValue = closestToModeData.Min();

            if ((maxValue >= 60 && maxValue <= 100) && (minValue >= 60 && minValue <= 100))
            {
                minValue = 60;
                maxValue = 100;
            }

            return new PregnancyCommonHeartRateModel()
            {
                Timestamp = DateTime.Now,
                PersonId = collection.First().DeviceKey,
                DeviceKey = collection.First().DeviceKey,
                SerialNumber = collection.First().SerialNumber,
                Mode = mode,
                Percentage = percentage,
                MaxValue = maxValue,
                MinValue = minValue,
                OriginalMaxValue = res.Max(),
                OriginalMinValue = res.Min(),
                CreateTime = DateTime.Now,
                StatStartTime = collection.OrderBy(i => i.Timestamp).Select(i => i.Timestamp).First(),
                StatEndTime = collection.OrderBy(i => i.Timestamp).Select(i => i.Timestamp).Last(),
                StatMaxValueFprCoefficient = statMaxValueFprCoefficient,
                StatMinValueFprCoefficient = statMinValueFprCoefficient,
                StatModeAvgFprCoefficient = StatModeAvgFprCoefficient,
                Remark = string.Empty,
                SerialTailNumber = serialNo.Substring(serialNo.Length - 2)
            };

        }


        /// <summary>
        /// 获取孕妇心率众数
        /// </summary>
        /// <param name="serialNo"></param>
        /// <param name="days"></param>
        /// <returns></returns>
        //public async Task<int> GetPregnancyHeartRateModeAsync(string serialNo,int days=7)
        //{
        //    var tableName = typeof(PregnancyHeartRateModel)
        //        .GetCustomAttribute<STableAttribute>()?
        //        .STableName;
        //    var daysAgo = DateTime.Now.AddDays(-days);
        //    var res = await _clientSqlSugar
        //       .Queryable<PregnancyHeartRateModel>()
        //       .AS(tableName)
        //       .Where(i=>i.SerialNumber.Equals(serialNo))
        //       .Where(i => i.Timestamp > daysAgo)
        //       //.OrderByDescending(i => i.PregnancyHeartRate)
        //       .Select(i =>i.PregnancyHeartRate)
        //       .ToListAsync();
        //    // 心率数据量必须30个以上才进行计算
        //    if (res.Count < 30) return 0;

        //    // 计算众数
        //    var mode = res.GroupBy(n => n)
        //                  .OrderByDescending(g => g.Count())
        //                  .First()
        //                  .Key;

        //    Console.WriteLine("众数是: " + mode);

        //    // 如果有多个众数的情况
        //    var maxCount = res.GroupBy(n => n)
        //                      .Max(g => g.Count());

        //    var modes = res.GroupBy(n => n)
        //                   .Where(g => g.Count() == maxCount)
        //                   .Select(g => g.Key)
        //                   .ToList();
        //    // 多个众数,选择最接近平均数或中位数的众数
        //    if (modes.Count>1)
        //    {
        //        // 计算平均值
        //        double average = res.Average();
        //        Console.WriteLine("平均值是: " + average);

        //        // 计算中位数
        //        double median;
        //        int count = res.Count;
        //        var sortedRes = res.OrderBy(n => n).ToList();
        //        if (count % 2 == 0)
        //        {
        //            // 偶数个元素，取中间两个数的平均值
        //            median = (sortedRes[count / 2 - 1] + sortedRes[count / 2]) / 2.0;
        //        }
        //        else
        //        {
        //            // 奇数个元素，取中间的数
        //            median = sortedRes[count / 2];
        //        }
        //        Console.WriteLine("中位数是: " + median);

        //        // 找出最接近平均值的众数
        //        //var closestToAverage = modes.OrderBy(m => Math.Abs(m - average)).First();
        //        //Console.WriteLine("最接近平均值的众数是: " + closestToAverage);

        //        // 找出最接近中位数的众数
        //        var closestToMedian = modes.OrderBy(m => Math.Abs(m - median)).First();
        //        Console.WriteLine("最接近中位数的众数是: " + closestToMedian);
        //        mode = closestToMedian;
        //    }

        //   return mode;
        //}



        #endregion
    }
}