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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namespace IStation.Calculation
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{
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/// <summary>
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/// 能效标准业务日辅助类
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/// </summary>
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public class EtaStandardLogicDayHelper
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{
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/// <summary>
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/// 标准
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/// </summary>
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public static List<Model.EtaStandardLogicDayRecord> Standard
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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.EtaStandardConfigure> configures,
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IEnumerable<Model.EtaLogicRealRecord> list
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)
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{
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if (configures == null || configures.Count() < 1)
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return default;
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if (list == null || list.Count() < 1)
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return default;
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var normal_list = list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
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if (normal_list.Count < 1)
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return default;
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var dt_now = DateTime.Now;
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var record_list = new List<Model.EtaStandardLogicDayRecord>();
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foreach (var configure in configures)
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{
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//存在此区间范围内的数据
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var normal_limit_list = normal_list.Where(t => t.Ea >= configure.LowerLimit && t.Ea <= configure.UpperLimit).ToList();
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if (normal_limit_list != null && normal_limit_list.Count > 0)
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{
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var record = new Model.EtaStandardLogicDayRecord();
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record.CorpID =CorpID;
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record.ConfigureID = configure.ID;
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record.ObjectType = ObjectType;
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record.ObjectID = ObjectID;
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record.DataDay = Day.Date;
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record.DataTime = dt_now;
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record.LowerLimit = configure.LowerLimit;
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record.UpperLimit = configure.UpperLimit;
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record.Qmin = normal_limit_list.Where(x => x.Qa.HasValue).Min(t => t.Qa.Value);
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record.Qmax = normal_limit_list.Where(x => x.Qa.HasValue).Max(t => t.Qa.Value);
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record.Qavg = normal_limit_list.Where(x => x.Qa.HasValue).Average(t => t.Qa.Value);
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record.Emin = normal_limit_list.Where(x => x.Ea.HasValue).Min(t => t.Ea.Value);
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record.Emax = normal_limit_list.Where(x => x.Ea.HasValue).Max(t => t.Ea.Value);
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record.Eavg = normal_limit_list.Where(x => x.Ea.HasValue).Average(t => t.Ea.Value);
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record.Hmin = normal_limit_list.Where(x => x.Ha.HasValue).Min(t => t.Ha.Value);
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record.Hmax = normal_limit_list.Where(x => x.Ha.HasValue).Max(t => t.Ha.Value);
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record.Havg = normal_limit_list.Where(x => x.Ha.HasValue).Average(t => t.Ha.Value);
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record.Pmin = normal_limit_list.Where(x=>x.Pa.HasValue).Min(t => t.Pa.Value);
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record.Pmax = normal_limit_list.Where(x => x.Pa.HasValue).Max(t => t.Pa.Value);
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record.Pavg = normal_limit_list.Where(x => x.Pa.HasValue).Average(t => t.Pa.Value);
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record.WPmin = normal_limit_list.Where(x => x.WPa.HasValue).Min(t => t.WPa.Value);
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record.WPmax = normal_limit_list.Where(x => x.WPa.HasValue).Max(t => t.WPa.Value);
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record.WPavg = normal_limit_list.Where(x => x.WPa.HasValue).Average(t => t.WPa.Value);
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record.UWPmin = normal_limit_list.Where(x => x.UWPa.HasValue).Min(t => t.UWPa.Value);
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record.UWPmax = normal_limit_list.Where(x => x.UWPa.HasValue).Max(t => t.UWPa.Value);
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record.UWPavg = normal_limit_list.Where(x => x.UWPa.HasValue).Average(t => t.UWPa.Value);
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record.Qt = normal_limit_list.Where(x => x.Qa.HasValue).Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Qtt = normal_list.Where(x => x.Qa.HasValue).Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Dt = normal_limit_list.Where(x => x.Pa.HasValue).Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.Dtt = normal_list.Where(x => x.Pa.HasValue).Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.PointCount = normal_limit_list.Count;
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record.TotalPointCount = normal_list.Count();
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record_list.Add(record);
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}
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}
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return record_list;
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}
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}
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}
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