using static IStation.Algorithm.ScheduleHelper;

namespace IStation.Algorithm
{
    /// <summary>
    /// 调度分析辅助类
    /// </summary> 
    public partial class ScheduleHelper_加调度配置前
    {
        readonly decimal _frequency_min = 25;
        readonly decimal _frequency_max = 50;
        readonly decimal _frequency_space = 0.1m;//频率间隔  

        readonly double _start_stop_loss_coefficient = 0.95;//泵启停损失系数

        readonly double _sel_opt_flow_deviation_ratio = 0.05;//可选方案的流量偏差比
        readonly double _sel_opt_reasonable_flow_deviation_ratio = 0.005;//合理的方案的流量偏差比


        readonly Service.AnalysisCombine _service_analysis_combine = new();
        readonly Service.AnalysisConclusion _service_analysis_conclusion = new();
        readonly Service.AnalysisLog _service_analysis_log = new();


        /// <summary>
        /// 调度
        /// </summary>
        /// <param name="pumps"></param>
        /// <param name="flags"></param>
        /// <param name="flags_part2"></param>
        /// <param name="target_flow"></param>
        /// <param name="target_head"></param>
        /// <param name="current_open_pump_flags"></param>
        /// <param name="must_open_pump_flags"></param>
        /// <param name="must_not_open_pump_flags"></param>
        /// <returns></returns>
        public AnaOptimalCombine Schedule(List<Model.Pump> pumps, List<int> flags, List<int> flags_part2, double target_flow, double target_head, List<int> current_open_pump_flags, List<int> must_open_pump_flags, List<int> must_not_open_pump_flags)
        {
            if (pumps == null || !pumps.Any())
            {
                return default;
            }
            target_flow = Math.Round(target_flow, 1);
            target_head = Math.Round(target_head, 1);

            #region 存在-当前开泵列表

            var exist_current_open_pump_flags = current_open_pump_flags != null && current_open_pump_flags.Count > 0;

            #endregion

            #region 存在-必开泵列表

            var must_open_pump_flags_remark = string.Empty;
            var exist_must_open_pump_flags = must_open_pump_flags != null && must_open_pump_flags.Count > 0;
            if (exist_must_open_pump_flags)
            {
                must_open_pump_flags = must_open_pump_flags.OrderBy(x => x).ToList();
                must_open_pump_flags_remark = IntListHelper.ToString(must_open_pump_flags);
            }

            #endregion

            #region 存在-必不能开泵列表

            var exist_must_not_open_pump_flags = must_not_open_pump_flags != null && must_not_open_pump_flags.Count > 0;

            #endregion

            var pump_bp_dict = pumps.ToDictionary(x => x.Flag, x => x.IsBp);
            var pump_nr_dict = pumps.ToDictionary(x => x.Flag, x => x.Nr);
            var pump_flag_list = pumps.Select(x => x.Flag).ToList();
            var optimal_combine_list = new List<AnaOptimalCombine>();
            for (int pumpCount = 1; pumpCount <= pumps.Count; pumpCount++)
            {
                if (pumpCount == 1)
                {
                    var max_total_flow = pumps.Max(x => x.Qr);
                    if (max_total_flow < target_flow)
                        continue;
                }
                var combine_list = Curve.PermutationAndCombination<int>.GetCombination(pump_flag_list.ToArray(), pumpCount);//排列组合
                foreach (var combine in combine_list)
                {
                    double combine_merit_ratio = 1;//组合择优率
                    if (exist_must_open_pump_flags)
                    {
                        var combine_remark = IntListHelper.ToString(combine.OrderBy(x => x));
                        if (!combine_remark.Contains(must_open_pump_flags_remark))
                            continue;
                    }
                    if (exist_must_not_open_pump_flags)
                    {
                        var exist_intersected = combine.Intersect(must_not_open_pump_flags).Count() > 0;
                        if (exist_intersected)
                            continue;
                    }

                    int start_stop_count = 0;//启停数量
                    if (exist_current_open_pump_flags)
                    {
                        var start_pump_count = combine.Except(current_open_pump_flags).Count();
                        var close_pump_count = current_open_pump_flags.Except(combine).Count();
                        start_stop_count = start_pump_count + close_pump_count;//启停数量 
                    }
                    else
                    {
                        start_stop_count = combine.Count();
                        if (exist_must_open_pump_flags)
                        {
                            start_stop_count = combine.Except(must_open_pump_flags).Count();
                        }
                    }
                    var total_loss_ratio = Math.Pow(_start_stop_loss_coefficient, start_stop_count);//启停一次损失些能耗
                    combine_merit_ratio *= total_loss_ratio;

                    List<int> combine_flag_list_part1 = new List<int>();
                    List<int> combine_flag_list_part2 = new List<int>();
                    foreach (var pump in combine)
                    {
                        if (flags.Contains(pump))
                        {
                            combine_flag_list_part1.Add(pump);
                        }
                        else
                        {
                            combine_flag_list_part2.Add(pump);
                        }
                    }

                    //区分同型号泵
                    List<AnaFreCombine> fre_combine_list_part1 = new List<AnaFreCombine>();
                    List<AnaFreCombine> fre_combine_list_part2 = new List<AnaFreCombine>();

                    if (combine_flag_list_part1.Count > 0)
                    {
                        var conclusion_list_dic = new Dictionary<int, List<Model.AnalysisConclusion>>();
                        foreach (var flag in combine_flag_list_part1)
                        {
                            var runFlag = RunFlagHelper.GetRunFlag(flag, pump_bp_dict[flag]);
                            if (conclusion_list_dic.ContainsKey(flag))
                                continue;
                            var conclusionList = _service_analysis_conclusion.GetList(runFlag, target_head);
                            conclusion_list_dic[flag] = conclusionList;
                        }

                        if (conclusion_list_dic.Count < 1)
                        {
                            continue;
                        }

                        for (decimal fre = _frequency_max; fre >= _frequency_min; fre -= _frequency_space)
                        {
                            var freCombine = new AnaFreCombine();
                            freCombine.Frequency = (double)fre;
                            freCombine.Flags = new List<int>();
                            freCombine.FrePumps = new List<AnaFrePump>();
                            foreach (var item in conclusion_list_dic)
                            {
                                var conclusion = item.Value.Find(x => x.Pump1 == (double)fre);
                                if (conclusion != null)
                                {
                                    freCombine.Flags.Add(item.Key);
                                    freCombine.Flow += conclusion.Flow;
                                    freCombine.Power += conclusion.Power;
                                    freCombine.RunCount++;

                                    var fre_pump = new AnaFrePump();
                                    fre_pump.Flag = item.Key;
                                    fre_pump.Flow = conclusion.Flow;
                                    fre_pump.Head = target_head;
                                    fre_pump.Power = conclusion.Power;
                                    fre_pump.Efficiency = Curve.PumpCalculateHelper.CalculateE(fre_pump.Flow, fre_pump.Head, fre_pump.Power);
                                    fre_pump.Frequency = freCombine.Frequency;
                                    fre_pump.Speed = (double)fre / 50 * pump_nr_dict[item.Key];
                                    freCombine.FrePumps.Add(fre_pump);
                                }
                            }
                            if (freCombine.Flags.Count < 1)
                                continue;
                            fre_combine_list_part1.Add(freCombine);
                        }
                    }
                    if (combine_flag_list_part2.Count > 0)
                    {
                        var conclusion_list_dic = new Dictionary<int, List<Model.AnalysisConclusion>>();
                        foreach (var flag in combine_flag_list_part2)
                        {
                            var runFlag = RunFlagHelper.GetRunFlag(flag, pump_bp_dict[flag]);
                            if (conclusion_list_dic.ContainsKey(flag))
                                continue;
                            var conclusionList = _service_analysis_conclusion.GetList(runFlag, target_head);
                            conclusion_list_dic[flag] = conclusionList;
                        }

                        if (conclusion_list_dic.Count < 1)
                        {
                            continue;
                        }

                        for (decimal fre = _frequency_max; fre >= _frequency_min; fre -= _frequency_space)
                        {
                            var freCombine = new AnaFreCombine();
                            freCombine.Frequency = (double)fre;
                            freCombine.Flags = new List<int>();
                            freCombine.FrePumps = new List<AnaFrePump>();
                            foreach (var item in conclusion_list_dic)
                            {
                                var conclusion = item.Value.Find(x => x.Pump1 == (double)fre);
                                if (conclusion != null)
                                {
                                    freCombine.Flags.Add(item.Key);
                                    freCombine.Flow += conclusion.Flow;
                                    freCombine.Power += conclusion.Power;
                                    freCombine.RunCount++;

                                    var fre_pump = new AnaFrePump();
                                    fre_pump.Flag = item.Key;
                                    fre_pump.Flow = conclusion.Flow;
                                    fre_pump.Head = target_head;
                                    fre_pump.Power = conclusion.Power;
                                    fre_pump.Efficiency = Curve.PumpCalculateHelper.CalculateE(fre_pump.Flow, fre_pump.Head, fre_pump.Power);
                                    fre_pump.Frequency = freCombine.Frequency;
                                    fre_pump.Speed = (double)fre / 50 * pump_nr_dict[item.Key];
                                    freCombine.FrePumps.Add(fre_pump);
                                }
                            }
                            if (freCombine.Flags.Count < 1)
                                continue;
                            fre_combine_list_part2.Add(freCombine);
                        }
                    }

                    if (fre_combine_list_part1.Count == 0 && fre_combine_list_part2.Count == 0)
                        continue;

                    double total_flow_deviation = target_flow;//总流量偏差
                    double total_power = double.MaxValue;//总功率
                    double total_flow = double.MaxValue;//总流量

                    AnaFreCombine optimal_combine_part1 = null;
                    AnaFreCombine optimal_combine_part2 = null;
                    if (fre_combine_list_part1.Count < 1 || fre_combine_list_part2.Count < 1)
                    {
                        if (fre_combine_list_part1.Count < 1)
                        {
                            fre_combine_list_part1 = fre_combine_list_part2;
                        }
                        for (int Index_part1 = 0; Index_part1 < fre_combine_list_part1.Count; Index_part1++)
                        {
                            var fre_combine1 = fre_combine_list_part1[Index_part1];
                            var current_flow = fre_combine1.Flow;
                            var current_power = fre_combine1.Power;

                            var diff_flow = Math.Abs(current_flow - target_flow);
                            if (diff_flow < total_flow_deviation)
                            {
                                optimal_combine_part1 = fre_combine1;
                                total_power = fre_combine1.Power;
                                total_flow = current_flow;
                                total_flow_deviation = diff_flow;
                            }

                            if (diff_flow < target_flow * 0.01 && current_power < total_power)
                            {
                                optimal_combine_part1 = fre_combine1;
                                total_power = fre_combine1.Power;
                                total_flow = current_flow;
                            }
                        }
                    }
                    else
                    {
                        for (int Index_part1 = 0; Index_part1 < fre_combine_list_part1.Count; Index_part1++)
                        {
                            for (int Index_part2 = 0; Index_part2 < fre_combine_list_part2.Count; Index_part2++)
                            {
                                var fre_combine1 = fre_combine_list_part1[Index_part1];
                                var fre_combine2 = fre_combine_list_part2[Index_part2];

                                var current_flow = fre_combine1.Flow + fre_combine2.Flow;
                                var current_power = fre_combine1.Power + fre_combine2.Power;

                                var diff_flow = Math.Abs(current_flow - target_flow);
                                if (diff_flow < total_flow_deviation)
                                {
                                    optimal_combine_part1 = fre_combine1;
                                    optimal_combine_part2 = fre_combine2;
                                    total_power = fre_combine1.Power + fre_combine2.Power;
                                    total_flow = current_flow;
                                    total_flow_deviation = diff_flow;
                                }

                                if (diff_flow < target_flow * 0.01 && current_power < total_power)
                                {
                                    optimal_combine_part1 = fre_combine1;
                                    optimal_combine_part2 = fre_combine2;
                                    total_power = fre_combine1.Power + fre_combine2.Power;
                                    total_flow = current_flow;
                                }

                            }
                        }
                    }

                    if (optimal_combine_part1 == null && optimal_combine_part2 == null)
                        continue;

                    var total_flow_deviation_ratio = Math.Abs((1 - Math.Abs((total_flow / target_flow))));
                    if (total_flow_deviation_ratio > _sel_opt_flow_deviation_ratio)
                        continue;
                    if (total_flow_deviation_ratio > _sel_opt_reasonable_flow_deviation_ratio)
                    {
                        combine_merit_ratio -= total_flow_deviation_ratio;
                    }


                    var efficiency = Curve.PumpCalculateHelper.CalculateE(total_flow, target_head, total_power);
                    var wp = Curve.PumpCalculateHelper.CalculateWP(total_power, total_flow);
                    var uwp = Curve.PumpCalculateHelper.CalculateUWP(total_power, total_flow, target_head);

                    #region 分析最优组合方案

                    var optimal_combine = new AnaOptimalCombine();
                    optimal_combine.Combines = new List<AnaFreCombine>();
                    optimal_combine.Flags = new List<int>();
                    if (optimal_combine_part1 != null)
                    {
                        optimal_combine.Combines.Add(optimal_combine_part1);
                        optimal_combine.Flags.AddRange(optimal_combine_part1.Flags);
                    }
                    if (optimal_combine_part2 != null)
                    {
                        optimal_combine.Combines.Add(optimal_combine_part2);
                        optimal_combine.Flags.AddRange(optimal_combine_part2.Flags);
                    }
                    optimal_combine.Flow = total_flow;
                    optimal_combine.Head = target_head;
                    optimal_combine.Power = total_power;
                    optimal_combine.Efficiency = efficiency;
                    optimal_combine.WP = wp;
                    optimal_combine.UWP = uwp;

                    optimal_combine.Flags = optimal_combine.Flags.OrderBy(x => x).ToList();
                    optimal_combine.FlagCount = optimal_combine.Flags.Count;
                    optimal_combine.Remark = IntListHelper.ToString(optimal_combine.Flags);
                    optimal_combine.MeritRatio = combine_merit_ratio;
                    optimal_combine_list.Add(optimal_combine);

                    #endregion
                }
            }

            if (optimal_combine_list.Count < 1)
                return default;

            optimal_combine_list = optimal_combine_list.OrderByDescending(x => x.MeritRatio).ToList();
            var opt = optimal_combine_list.First();
            opt.Round();
            return opt;
        }


        /// <summary>
        /// 根据工况计算
        /// </summary>
        /// <param name="pumps"></param>
        /// <param name="flag_rpm_dic"></param>
        /// <param name="flag_head_dic"></param>
        /// <param name="target_flow"></param>
        /// <param name="target_head"></param>
        /// <returns></returns>
        public AnaOptimalCombine WorkingCalc(List<Model.Pump> pumps, Dictionary<int, double> flag_rpm_dic, Dictionary<int, double> flag_head_dic, double target_flow, double target_head)
        {
            if (pumps == null || !pumps.Any())
            {
                return default;
            }

            if (flag_rpm_dic == null || !flag_rpm_dic.Any())
            {
                return default;
            }
            target_flow = Math.Round(target_flow, 1);
            target_head = Math.Round(target_head, 1);

            var freCombine = new AnaFreCombine();
            freCombine.FrePumps = new List<AnaFrePump>();
            foreach (var item in flag_rpm_dic)
            {
                var pump = pumps.Find(x => x.Flag == item.Key);
                if (pump == null)
                    continue;
                var rpm = Math.Round(item.Value, 1);
                if (rpm == 0)
                    continue;
                var curveQH = Curve.PumpCalculateHelper.CalculateSimilarQH(pump.CurveQH, pump.Nr, rpm);
                var curveQP = Curve.PumpCalculateHelper.CalculateSimilarQP(pump.CurveQP, pump.Nr, rpm);

                double flow = 0, head = target_head;
                if (flag_head_dic != null && flag_head_dic.ContainsKey(pump.Flag))
                    head = flag_head_dic[pump.Flag];

                flow = curveQH.GetInterPointLastX(head) ?? 0;
                if (flow < 0)
                    continue;

                var fre_pump = new AnaFrePump();
                fre_pump.Flag = item.Key;
                fre_pump.Flow = flow;
                fre_pump.Head = target_head;
                fre_pump.Power = curveQP.GetFitPointY(flow);
                fre_pump.Efficiency = Curve.PumpCalculateHelper.CalculateE(fre_pump.Flow, fre_pump.Head, fre_pump.Power);
                fre_pump.Frequency = rpm;
                fre_pump.Speed = (double)rpm / 50 * pump.Nr;

                freCombine.FrePumps.Add(fre_pump);
                freCombine.Flow += flow;
                freCombine.Power += fre_pump.Power;
            }

            var total_flow = freCombine.Flow;
            var total_power = freCombine.Power;
            var efficiency = Curve.PumpCalculateHelper.CalculateE(total_flow, target_head, total_power);
            var wp = Curve.PumpCalculateHelper.CalculateWP(total_power, total_flow);
            var uwp = Curve.PumpCalculateHelper.CalculateUWP(total_power, total_flow, target_head);

            var opt = new AnaOptimalCombine();
            opt.Combines = new List<AnaFreCombine>() { freCombine };
            opt.Flags = new List<int>();
            opt.Flow = total_flow;
            opt.Head = target_head;
            opt.Power = total_power;
            opt.Efficiency = efficiency;
            opt.WP = wp;
            opt.UWP = uwp;

            opt.Flags = opt.Flags.OrderBy(x => x).ToList();
            opt.FlagCount = opt.Flags.Count;
            opt.Remark = IntListHelper.ToString(opt.Flags);
            opt.MeritRatio = 1;

            opt.Round();
            return opt;
        }


    }
}