using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace IStation.Calculation 
{
    /// <summary>
    /// 能效汇总单时辅助类
    /// </summary>
    public class EtaSumSingleHourHelper
    {
        /// <summary>
        /// 汇总
        /// </summary>
        /// <returns></returns>
        public static List<Model.EtaSumSingleHourRecord> Sum
            (
                long CorpID,
                string ObjectType,
                long ObjectID,
                DateTime Day,
                IEnumerable<Model.EtaSingleRealRecord> records
            )
        {
            if (records == null || records.Count() < 1)
                return default;
            var run_record_list = records.Where(x => x.RSa == RunStatus.Run).ToList();
            var result = new List<Model.EtaSumSingleHourRecord>();
            for (int i = 0; i < 24; i++)
            {
                var run_hour_record_list = run_record_list.Where(x => x.DataTime >= Day.Date.AddHours(i) && x.DataTime < Day.Date.AddHours(i + 1)).ToList();
                var run_normal_hour_record_list = run_hour_record_list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
                var model = new Model.EtaSumSingleHourRecord();
                model.CorpID = CorpID;
                model.ObjectType = ObjectType;
                model.ObjectID = ObjectID;
                model.DataDay = Day.Date;
                model.DataHour = i + 1;
                model.DataTime = DateTime.Now;
                model.Qt=run_hour_record_list.Sum(x => (x.Qa ?? 0) * x.Duration) / 3600f;
                model.Dt = run_hour_record_list.Sum(x => (x.Pa ?? 0) * x.Duration) / 3600f;
                model.RunTime = run_hour_record_list.Sum(x => x.Duration);
                model.PointCount = run_hour_record_list.Count;

                if (run_normal_hour_record_list.Count > 0)
                {
                    model.Qmin = run_normal_hour_record_list.Min(x=>x.Qa.Value);
                    model.Qmax = run_normal_hour_record_list.Max(x => x.Qa.Value);
                    model.Qavg = run_normal_hour_record_list.Average(x => x.Qa.Value);

                    model.Hmin = run_normal_hour_record_list.Min(x=>x.Ha.Value);
                    model.Hmax= run_normal_hour_record_list.Max(x=>x.Ha.Value);
                    model.Havg= run_normal_hour_record_list.Average(x=>x.Ha.Value);

                    model.Emin= run_normal_hour_record_list.Min(x=>x.Ea.Value);
                    model.Emax= run_normal_hour_record_list.Max(x=>x.Ea.Value);
                    model.Eavg= run_normal_hour_record_list.Average(x=>x.Ea.Value);

                    model.Pmin= run_normal_hour_record_list.Min(x=>x.Pa.Value);
                    model.Pmax= run_normal_hour_record_list.Max(x=>x.Pa.Value);
                    model.Pavg= run_normal_hour_record_list.Average(x=>x.Pa.Value);

                    model.WPmin= run_normal_hour_record_list.Min(x=>x.WPa.Value);
                    model.WPmax = run_normal_hour_record_list.Max(x=>x.WPa.Value);
                    model.WPavg = run_normal_hour_record_list.Average(x=>x.WPa.Value);

                    model.UWPmin = run_normal_hour_record_list.Min(x=>x.UWPa.Value);
                    model.UWPmax = run_normal_hour_record_list.Max(x=>x.UWPa.Value);
                    model.UWPavg = run_normal_hour_record_list.Average(x=>x.UWPa.Value);
                }

                if (run_hour_record_list.Count > 1)
                {
                    var run_hour_boot_list = run_hour_record_list.OrderBy(x => x.DataTime).ToList();
                    for (int j = 1; j < run_hour_boot_list.Count; j++) 
                    {
                        if ((run_hour_boot_list[j].DataTime - run_hour_boot_list[j - 1].DataTime).TotalSeconds > 5 * run_hour_boot_list[j].Duration)
                        {
                            model.BootTimes += 1;
                        }
                    }
                }

                result.Add(model);
            }

            return result;
        }



    }
}