using DevExpress.Utils.Extensions;
using DevExpress.XtraPrinting.Native.Properties;
using System;
using System.Collections.Generic;
using System.ComponentModel.DataAnnotations;
using System.Configuration;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using XdCxRhDw;
using XdCxRhDW.Dto;

namespace XdCxRhDW.TaskServer.Task
{
    public class HistoryTaskI
    {

        protected internal virtual string baseUrl => $"{ConfigurationManager.AppSettings["PosPlatformAddr"].Trim()}/api/";

        protected internal virtual bool IsRuning { get; set; } = false;

        //变采样
        protected internal virtual int OutFsHz { get; set; } = 96000;

        public virtual void Start(HistoryTaskProcessingDto dto)
        {
        }
        /// <summary>
        /// 根据下行频点获取卫星Id
        /// </summary>
        /// <param name="freqdown"></param>
        /// <returns></returns>
        public int GetSatId(double freqdown)
        {
            // (洋区固定大写字母aì，不是数字1，查不到结果给出日志方便排查
            string sql = $"select 卫星ID from freguencysatid where 下行 = '{freqdown}'and 洋区 = 'I' LIMIT 1";
            sql = "SELECT id FROM role where id=1  LIMIT 1";
            var res = MySqlTools.ExecuteScalar(System.Data.CommandType.Text, sql);
            int satId = 0;
            bool isInt = int.TryParse($"{res}", out satId);
            if (!isInt)
            {
                LogHelper.Error($"下行频点{freqdown}未找到卫星编号");
            }
            return satId;
        }
        public virtual void Stop()
        {
            IsRuning = true;
        }

        //检测
        public async Task<IEnumerable<DetectResDto>> DAMAAsync(DmcTypeDto dmc, double fsHz, string mFile)
        {
            try
            {
                //主星变采样
                var resampleRes = await ToResampleAsync((int)fsHz, mFile);

                DetectDto dto = new DetectDto();
                dto.dmcType = (DmcType)dmc;
                dto.fsHz = resampleRes.OutFsHz;
                dto.file1 = await UploadFileAsync("DAMA检测", resampleRes.File);
#warning  信号带宽怎么获取
                //dto.band = double.Parse(txtBand.Text);
                var dmcResult = await HttpHelper.PostRequestAsync<IEnumerable<DetectResDto>>(baseUrl + "DetectCg/DetectCalc", dto);
                if (dmcResult.code != 200)
                {
                    throw new Exception($"执行DAMA检测异常:{dmcResult.msg}");
                }
                else
                {
                    dmcResult.data.ForEach(m => m.File1 = resampleRes.File);
                    return dmcResult.data;

                }
            }
            catch (Exception ex)
            {
                throw new Exception($"信号检测出错:{ex.Message}");
            }
        }
        public async Task<ResampleResponseDto> ToResampleAsync(int fsHz, string file)
        {
            ResampleResponseDto dtores = new ResampleResponseDto();
            dtores.File = file;
            dtores.OutFsHz = fsHz;
            string step = "变采样";
            //不需要变采样
            if (fsHz == OutFsHz)
            {
                return dtores;
            }
            string file1 = await UploadFileAsync(step, file);
            ResampleRequestDto dto = new ResampleRequestDto()
            {
                File = file1,
                FsHz = fsHz,
            };
            var response = await HttpHelper.PostRequestAsync<ResampleResponseDto>(baseUrl + "/DetectCg/Resample", dto, dto.TimeoutSeconds);
            if (response.code == 200)
            {
                string downloadFolder = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "download");
                string outFile = Path.Combine(downloadFolder, Path.GetFileNameWithoutExtension(file1) + $"_Resample{response.data.OutFsHz}K.dat");
                await DownloadFileAsync(step, response.data.File, outFile);

                dtores.OutFsHz = response.data.OutFsHz;
                dtores.File = outFile;
                return dtores;
            }
            else
            {
                throw new Exception($"采样率:{fsHz}变采样{file}异常:{response.msg}");
            }

        }
        public async Task<string> UploadFileAsync(string step, string file)
        {
            try
            {
                string file1 = await HttpHelper.UploadFileAsync(file, baseUrl + "File/UploadFileAsync");
                return file1;
            }
            catch (Exception ex)
            {
                throw new Exception($"执行{step}上传文件异常:{ex.Message}");
            }
        }
        public async Task<bool> DownloadFileAsync(string step, string Infile, string outFile)
        {
            try
            {
                return await HttpHelper.DownloadFileAsync(baseUrl, Infile, outFile);
            }
            catch (Exception ex)
            {
                throw new Exception($"执行{step}下载文件{Infile}异常:{ex.Message}");
            }
        }
        //CPU计算
        public async Task<CpuCgResDto> CPUCalcAsync(string file1, string file2, double fsHz, DetectResDto detect)
        {
            string step = "CPU计算";
            CpuCgDto dto = new CpuCgDto();
            dto.file1 = await UploadFileAsync(step, file1);
            dto.file2 = await UploadFileAsync(step, file2);
            dto.smpCount = detect.Length;
            dto.samplingRate = fsHz;
            dto.dtCenter = 0;
            dto.dtRange = 40000;
            dto.smpStart = detect.Start;
            dto.snrThreshold = 14;
            try
            {
                var result = await HttpHelper.PostRequestAsync<CpuCgResDto>(baseUrl + "DetectCg/CpuCgCalc", dto);
                if (result.code != 200)
                {
                    throw new Exception($"CPU文件参估出错,{result.msg}");

                }
                return result.data;
            }
            catch (Exception ex)
            {
                throw new Exception($"CPU文件参估出错,{ex.Message}");
            }
        }

        //GPU计算
        public async Task<GpuCgResponseDto> GPUCalcAsync(string file1, string file2, double fsHz)
        {
            string step = "GPU计算";
            GpuCgRequestDto dto = new GpuCgRequestDto();
            dto.file1 = await UploadFileAsync(step, file1);
            dto.file2 = await UploadFileAsync(step, file2);
            dto.smpCount = 0;
            dto.samplingRate = fsHz;
            dto.dtCenter = 0;
            dto.dtRange = 10000;
            dto.snrThreshold = 14;
            try
            {
                var result = await HttpHelper.PostRequestAsync<List<GpuCgResponseDto>>(baseUrl + "DetectCg/GpuCgCalc", dto, dto.TimeoutSeconds);
                if (result.code != 200)
                {
                    throw new Exception($"GPU文件参估出错,{result.msg}");
                }

                return result.data.Count > 0 ? result.data.First() : new GpuCgResponseDto();
            }
            catch (TaskCanceledException)
            {
                throw new Exception("GPU文件参估Http接口调用超时");
            }
            catch (Exception ex)
            {
                throw new Exception($"GPU文件参估出错{ex.Message}");
            }
        }



    }
}