tangxu
2022-10-24 54f46d7fa5555927fda3edebf89cba02a8c91768
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using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
 
namespace IStation.Calculation
{
    /// <summary>
    /// 能效汇总单日辅助类
    /// </summary>
    public class EtaSumSingleDayHelper
    {
 
        /// <summary>
        /// 汇总
        /// </summary>
        public static Model.EtaSumSingleDayRecord 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 run_normal_record_list = run_record_list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
 
            var model = new Model.EtaSumSingleDayRecord();
            model.CorpID = CorpID;
            model.ObjectType = ObjectType;
            model.ObjectID = ObjectID;
            model.DataDay = Day.Date;
            model.DataTime = DateTime.Now;
            model.Qt = run_record_list.Sum(x => (x.Qa ?? 0) * x.Duration) / 3600f;
            model.Dt = run_record_list.Sum(x => (x.Pa ?? 0) * x.Duration) / 3600f;
            model.RunTime = run_record_list.Sum(x => x.Duration);
            model.PointCount = run_record_list.Count;
 
            if (run_normal_record_list.Count > 0)
            {
                model.Qmin = run_normal_record_list.Min(x => x.Qa.Value);
                model.Qmax = run_normal_record_list.Max(x => x.Qa.Value);
                model.Qavg = run_normal_record_list.Average(x => x.Qa.Value);
 
                model.Hmin = run_normal_record_list.Min(x => x.Ha.Value);
                model.Hmax = run_normal_record_list.Max(x => x.Ha.Value);
                model.Havg = run_normal_record_list.Average(x => x.Ha.Value);
 
                model.Emin = run_normal_record_list.Min(x => x.Ea.Value);
                model.Emax = run_normal_record_list.Max(x => x.Ea.Value);
                model.Eavg = run_normal_record_list.Average(x => x.Ea.Value);
 
                model.Pmin = run_normal_record_list.Min(x => x.Pa.Value);
                model.Pmax = run_normal_record_list.Max(x => x.Pa.Value);
                model.Pavg = run_normal_record_list.Average(x => x.Pa.Value);
 
                model.WPmin = run_normal_record_list.Min(x => x.WPa.Value);
                model.WPmax = run_normal_record_list.Max(x => x.WPa.Value);
                model.WPavg = run_normal_record_list.Average(x => x.WPa.Value);
 
                model.UWPmin = run_normal_record_list.Min(x => x.UWPa.Value);
                model.UWPmax = run_normal_record_list.Max(x => x.UWPa.Value);
                model.UWPavg = run_normal_record_list.Average(x => x.UWPa.Value);
            }
 
            if (run_record_list.Count > 1)
            {
                var run_boot_list = run_record_list.OrderBy(x => x.DataTime).ToList();
                for (int j = 1; j < run_boot_list.Count; j++)
                {
                    if ((run_boot_list[j].DataTime - run_boot_list[j - 1].DataTime).TotalSeconds > 5 * run_boot_list[j].Duration)
                    {
                        model.BootTimes += 1;
                    }
                }
            }
 
            return model;
 
 
        }
    }
}