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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/// 能效依赖多日辅助类
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/// </summary>
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public class EtaAccordMultiDayHelper
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{
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/// <summary>
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/// 依赖
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/// </summary>
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public static List<Model.EtaAccordMultiDayRecord> Accord
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(
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DateTime Day,
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IEnumerable<Model.EtaAccordConfigure> configures,
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IEnumerable<Model.EtaMultiRealRecord> 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 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 run_normal_list = run_list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
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if (run_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.EtaAccordMultiDayRecord>();
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foreach (var configure in configures)
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{
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//按流量统计
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if (configure.AccordType == Model.Eta.eAccordType.Q)
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{
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//存在此区间范围内的数据
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var run_normal_limit_list = run_normal_list.Where(t => t.Qa >= configure.LowerLimit && t.Qa <= configure.UpperLimit).ToList();
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if (run_normal_limit_list != null && run_normal_limit_list.Count > 0)
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{
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var record = new Model.EtaAccordMultiDayRecord();
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record.CorpID = configure.CorpID;
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record.ConfigureID = configure.ID;
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record.ObjectType = configure.BelongType;
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record.ObjectID = configure.BelongID;
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record.DataDay = Day.Date;
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record.DataTime = dt_now;
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record.AccordType = configure.AccordType;
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record.LowerLimit = configure.LowerLimit;
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record.UpperLimit = configure.UpperLimit;
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record.Qmin = run_normal_limit_list.Min(t => t.Qa.Value);
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record.Qmax = run_normal_limit_list.Max(t => t.Qa.Value);
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record.Qavg = run_normal_limit_list.Average(t => t.Qa.Value);
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record.Emin = run_normal_limit_list.Min(t => t.Ea.Value);
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record.Emax = run_normal_limit_list.Max(t => t.Ea.Value);
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record.Eavg = run_normal_limit_list.Average(t => t.Ea.Value);
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record.Hmin = run_normal_limit_list.Min(t => t.Ha.Value);
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record.Hmax = run_normal_limit_list.Max(t => t.Ha.Value);
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record.Havg = run_normal_limit_list.Average(t => t.Ha.Value);
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record.Pmin = run_normal_limit_list.Min(t => t.Pa.Value);
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record.Pmax = run_normal_limit_list.Max(t => t.Pa.Value);
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record.Pavg = run_normal_limit_list.Average(t => t.Pa.Value);
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record.WPmin = run_normal_limit_list.Min(t => t.WPa.Value);
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record.WPmax = run_normal_limit_list.Max(t => t.WPa.Value);
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record.WPavg = run_normal_limit_list.Average(t => t.WPa.Value);
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record.UWPmin = run_normal_limit_list.Min(t => t.UWPa.Value);
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record.UWPmax = run_normal_limit_list.Max(t => t.UWPa.Value);
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record.UWPavg = run_normal_limit_list.Average(t => t.UWPa.Value);
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record.Qt = run_normal_limit_list.Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Qtt = run_normal_list.Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Dt = run_normal_limit_list.Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.Dtt = run_normal_list.Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.RunTime = run_normal_limit_list.Sum(t => t.Duration);
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record.TotalRunTime = run_normal_list.Sum(t => t.Duration);
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record.PointCount = run_normal_limit_list.Count;
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record.TotalPointCount = run_normal_list.Count();
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record_list.Add(record);
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}
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}
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else if (configure.AccordType == Model.Eta.eAccordType.E)
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{
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//存在此区间范围内的数据
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var run_normal_limit_list = run_normal_list.Where(t => t.Ea >= configure.LowerLimit && t.Ea <= configure.UpperLimit).ToList();
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if (run_normal_limit_list != null && run_normal_limit_list.Count > 0)
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{
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var record = new Model.EtaAccordMultiDayRecord();
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record.CorpID = configure.CorpID;
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record.ConfigureID = configure.ID;
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record.ObjectType = configure.BelongType;
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record.ObjectID = configure.BelongID;
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record.DataDay = Day.Date;
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record.DataTime = dt_now;
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record.AccordType = configure.AccordType;
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record.LowerLimit = configure.LowerLimit;
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record.UpperLimit = configure.UpperLimit;
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record.Qmin = run_normal_limit_list.Min(t => t.Qa.Value);
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record.Qmax = run_normal_limit_list.Max(t => t.Qa.Value);
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record.Qavg = run_normal_limit_list.Average(t => t.Qa.Value);
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record.Emin = run_normal_limit_list.Min(t => t.Ea.Value);
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record.Emax = run_normal_limit_list.Max(t => t.Ea.Value);
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record.Eavg = run_normal_limit_list.Average(t => t.Ea.Value);
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record.Hmin = run_normal_limit_list.Min(t => t.Ha.Value);
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record.Hmax = run_normal_limit_list.Max(t => t.Ha.Value);
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record.Havg = run_normal_limit_list.Average(t => t.Ha.Value);
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record.Pmin = run_normal_limit_list.Min(t => t.Pa.Value);
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record.Pmax = run_normal_limit_list.Max(t => t.Pa.Value);
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record.Pavg = run_normal_limit_list.Average(t => t.Pa.Value);
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record.WPmin = run_normal_limit_list.Min(t => t.WPa.Value);
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record.WPmax = run_normal_limit_list.Max(t => t.WPa.Value);
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record.WPavg = run_normal_limit_list.Average(t => t.WPa.Value);
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record.UWPmin = run_normal_limit_list.Min(t => t.UWPa.Value);
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record.UWPmax = run_normal_limit_list.Max(t => t.UWPa.Value);
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record.UWPavg = run_normal_limit_list.Average(t => t.UWPa.Value);
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record.Qt = run_normal_limit_list.Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Qtt = run_normal_list.Sum(x => x.Qa.Value * x.Duration) / 3600f;
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record.Dt = run_normal_limit_list.Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.Dtt = run_normal_list.Sum(x => x.Pa.Value * x.Duration) / 3600f;
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record.RunTime = run_normal_limit_list.Sum(t => t.Duration);
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record.TotalRunTime = run_normal_list.Sum(t => t.Duration);
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record.PointCount = run_normal_limit_list.Count;
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record.TotalPointCount = run_normal_list.Count();
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record_list.Add(record);
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}
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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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