using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using IStation.Untity;
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namespace IStation.Calculation
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{
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/// <summary>
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/// 能效汇总多时辅助类
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/// </summary>
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public class EtaSumMultiHourHelper
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{
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/// <summary>
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/// 汇总
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/// </summary>
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/// <returns></returns>
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public static List<Model.EtaSumMultiHourRecord> Sum
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(
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long CorpID,
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string ObjectType,
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long ObjectID,
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DateTime Day,
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IEnumerable<Model.EtaMultiRealRecord> list
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)
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{
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if (list == null || list.Count() < 1)
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return default;
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var run_list = list.Where(x =>x.RunningCount>0).ToList();
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if (run_list.Count < 1)
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return default;
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var group_list = run_list.GroupBy(x => new {
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CorpID = x.CorpID,
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ObjectType = x.ObjectType,
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ObjectID = x.ObjectID,
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RunningCount = x.RunningCount,
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RunningFlag = IntListHelper.ToString(x.RunningFlag)
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}).ToList();
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var result = new List<Model.EtaSumMultiHourRecord>();
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foreach (var group in group_list)
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{
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for (int i = 0; i < 24; i++)
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{
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var run_hour_list = group.Where(t => t.DataTime >= Day.Date.AddHours(i) && t.DataTime < Day.Date.AddHours(i + 1)).ToList();
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var run_normal_hour_list = run_hour_list.Where(t => t.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
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var model = new Model.EtaSumMultiHourRecord();
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model.CorpID = CorpID;
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model.ObjectType = ObjectType;
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model.ObjectID = ObjectID;
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model.DataDay = Day.Date;
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model.DataHour = i + 1;
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model.DataTime = DateTime.Now;
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model.RunningCount = group.Key.RunningCount;
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model.RunningFlag = IntListHelper.ToList(group.Key.RunningFlag);
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model.Qt = run_hour_list.Sum(x => (x.Qa ?? 0) * x.Duration) / 3600f;
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model.Dt = run_hour_list.Sum(x => (x.Pa ?? 0) * x.Duration) / 3600f;
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model.RunTime = run_hour_list.Sum(x => x.Duration);
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model.PointCount = run_hour_list.Count;
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if (run_normal_hour_list.Count > 0)
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{
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model.Qmin = run_normal_hour_list.Min(x => x.Qa.Value);
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model.Qmax = run_normal_hour_list.Max(x => x.Qa.Value);
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model.Qavg = run_normal_hour_list.Average(x => x.Qa.Value);
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model.Hmin = run_normal_hour_list.Min(x => x.Ha.Value);
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model.Hmax = run_normal_hour_list.Max(x => x.Ha.Value);
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model.Havg = run_normal_hour_list.Average(x => x.Ha.Value);
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model.Emin = run_normal_hour_list.Min(x => x.Ea.Value);
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model.Emax = run_normal_hour_list.Max(x => x.Ea.Value);
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model.Eavg = run_normal_hour_list.Average(x => x.Ea.Value);
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model.Pmin = run_normal_hour_list.Min(x => x.Pa.Value);
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model.Pmax = run_normal_hour_list.Max(x => x.Pa.Value);
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model.Pavg = run_normal_hour_list.Average(x => x.Pa.Value);
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model.WPmin = run_normal_hour_list.Min(x => x.WPa.Value);
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model.WPmax = run_normal_hour_list.Max(x => x.WPa.Value);
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model.WPavg = run_normal_hour_list.Average(x => x.WPa.Value);
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model.UWPmin = run_normal_hour_list.Min(x => x.UWPa.Value);
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model.UWPmax = run_normal_hour_list.Max(x => x.UWPa.Value);
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model.UWPavg = run_normal_hour_list.Average(x => x.UWPa.Value);
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}
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result.Add(model);
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}
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}
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return result;
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}
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}
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}
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