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

namespace IStation.Calculation 
{
    /// <summary>
    /// 能效汇总业务时辅助类
    /// </summary>
    public class EtaSumLogicHourHelper
    {
        /// <summary>
        /// 汇总
        /// </summary>
        /// <returns></returns>
        public static List<Model.EtaSumLogicHourRecord> Sum
            (
                long CorpID,
                string ObjectType,
                long ObjectID,
                DateTime Day,
                IEnumerable<Model.EtaLogicRealRecord> list
            )
        {
            if (list == null || list.Count() < 1)
                return default;
            var result = new List<Model.EtaSumLogicHourRecord>();
            for (int i = 0; i < 24; i++)
            {
                var hour_list = list.Where(x => x.DataTime >= Day.Date.AddHours(i) && x.DataTime < Day.Date.AddHours(i + 1)).ToList();
                var normal_hour_list = hour_list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
                var model = new Model.EtaSumLogicHourRecord();
                model.CorpID = CorpID;
                model.ObjectType = ObjectType;
                model.ObjectID = ObjectID;
                model.DataDay = Day.Date;
                model.DataHour = i + 1;
                model.DataTime = DateTime.Now;
                model.Qt= hour_list.Sum(x => (x.Qa ?? 0) * x.Duration) / 3600f;
                model.Dt = hour_list.Sum(x => (x.Pa ?? 0) * x.Duration) / 3600f;
                model.PointCount = hour_list.Count();
                 
                if (normal_hour_list!=null&& normal_hour_list.Count > 0)
                {
                    model.Qmin = normal_hour_list.Where(x=>x.Qa.HasValue).Min(x=>x.Qa.Value);
                    model.Qmax = normal_hour_list.Where(x => x.Qa.HasValue).Max(x => x.Qa.Value);
                    model.Qavg = normal_hour_list.Where(x => x.Qa.HasValue).Average(x => x.Qa.Value);

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

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

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

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

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

                result.Add(model);
            }

            return result;
        }



    }
}