XdCxRhDW/Service/CpuCgServer/Controllers/CpuCgController.cs

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.IO;
using System.Linq;
using System.Threading.Tasks;
using System.Web.Http;
using XdCxRhDW.Dto;
using XdCxRhDW.WebApi;

namespace CpuCgServer.Controllers
{
    /// <summary>
    /// Cpu参估接口
    /// </summary>
    public class CpuCgController : BaseController
    {
        /// <summary>
        /// CPU参估计算(需要先上传文件)
        /// </summary>
        /// <param name="dto">CPU参估参数</param>
        /// <returns></returns>
        [HttpPost]
        public async Task<AjaxResult<CpuCgResDto>> Calc(CpuCgDto dto)
        {
            dto.file1 = GetLocalFile(dto.file1);
            dto.file2 = GetLocalFile(dto.file2);
            XcorrStruct xItem = new XcorrStruct();
            xItem.file1 = dto.file1;
            xItem.file2 = dto.file2;
            xItem.samplingRate = dto.samplingRate;
            xItem.dtCenter = dto.dtCenter;
            xItem.dtRange = dto.dtRange;
            xItem.dfRange = dto.dfRange;
            FileInfo file1 = new FileInfo(dto.file1);
            FileInfo file2 = new FileInfo(dto.file2);
            long totalsamp = file1.Length < file2.Length ? file1.Length / 4 : file2.Length / 4;
            //样点数为0时计算所有样本
            if (dto.smpCount == 0)
            {
                xItem.smpCount = (int)totalsamp - dto.smpStart;
            }
            else if (dto.smpCount > 0 && dto.smpCount < 1)
            {
                xItem.smpCount = (int)(totalsamp * dto.smpCount);
            }
            else
            {
                xItem.smpCount = dto.smpCount;
            }
            xItem.smpStart = dto.smpStart;
            xItem.snrThreshold = dto.snrThreshold;

            CpuCgResDto resDto = new CpuCgResDto();
            try
            {
                XcorrUtils xcorr = new XcorrUtils();
                var result = await xcorr.Calc(xItem);
                //开始计算
                if (result.flag == -2)
                {
                    Serilog.Log.Error("参估计算内部错误!");
                    return Error<CpuCgResDto>("参估计算内部错误!");
                }
                else if (result.flag == -1)
                {
                    Serilog.Log.Error("参估计算所需数据超出文件范围!");
                    return Error<CpuCgResDto>("参估计算所需数据超出文件范围!");
                }
                resDto.TimeMs = result.tm;
                resDto.Smpstart = result.smpstart;
                resDto.Smplen = result.smplen;
                if (result.flag == 1)
                {
                    resDto.Dt = result.dt.Value;
                    resDto.Df = result.df.Value;
                    resDto.Snr = result.snr.Value;
                }


            }
            catch (Exception ex)
            {
                Serilog.Log.Error(ex, "执行CPU参估异常");
                return Error<CpuCgResDto>($"执行CPU参估异常");
            }
            return Success(resDto);

        }


        /// <summary>
        /// CPU参估多个时隙的参估计算(需要先上传文件)
        /// </summary>
        /// <param name="dto">CPU多时隙参估参数模型</param>
        /// <returns>返回结果个数始终和传入的时隙个数相同</returns>
        [HttpPost]
        public async Task<AjaxResult<List<CpuCgResDto>>> MultiCalc(CpuCgMultiDto dto)
        {
            dto.file1 = GetLocalFile(dto.file1);
            dto.file2 = GetLocalFile(dto.file2);
            MultiXcorrStruct xItem = new MultiXcorrStruct();
            xItem.file1 = dto.file1;
            xItem.file2 = dto.file2;
            xItem.samplingRate = dto.samplingRate;
            xItem.dtCenter = dto.dtCenter;
            xItem.dtRange = dto.dtRange;
            xItem.dfRange = dto.dfRange;
            xItem.snrThreshold = dto.snrThreshold;
            xItem.xcorrSmps = dto.smpPositions.Select(m => new XcorrSmp(m.smpStart, m.smpCount)).ToList();
            List<CpuCgResDto> resDtos = new List<CpuCgResDto>();

            XcorrUtils xcorr = new XcorrUtils();
            try
            {
                var result = await xcorr.MultiCalc(xItem);
                foreach (var item in result)
                {
                    CpuCgResDto resDto = new CpuCgResDto();
                    resDto.Smpstart = item.smpstart;
                    resDto.Smplen = item.smplen;
                    resDto.TimeMs = item.tm;
                    resDto.Dt = item.dt.Value;
                    resDto.Df = item.df.Value;
                    resDto.Snr = item.snr.Value;
                    resDtos.Add(resDto);
                }

            }
            catch (Exception ex)
            {
                Serilog.Log.Error(ex, "执行CPU参估异常");
            }

            return Success(resDtos);

        }

        /// <summary>
        /// 参估画图
        /// </summary>
        /// <returns></returns>
        [HttpPost]
        public async Task<AjaxResult<List<ImageResultDto>>> DrawImage(CpuCgDto dto)
        {
            var cafp = new Process();
            List<ImageResultDto> list = new List<ImageResultDto>();
            dto.file1 = GetLocalFile(dto.file1);
            dto.file2 = GetLocalFile(dto.file2);
            await Task.Run(() =>
            {
                FileInfo file1 = new FileInfo(dto.file1);
                FileInfo file2 = new FileInfo(dto.file2);
                long totalsamp = file1.Length < file2.Length ? file1.Length / 4 : file2.Length / 4;
                //样点数为0时计算所有样本
                if (dto.smpCount == 0)
                {
                    dto.smpCount = (int)totalsamp - dto.smpStart;
                }
                else if (dto.smpCount > 0 && dto.smpCount < 1)
                {
                    dto.smpCount = (int)(totalsamp * dto.smpCount);
                }
                string outFile = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "CgImag.txt");
                int flag = 1;
                if (dto.smpStart == 0)
                {
                    flag = 3;//文件画图,避免滑动时溢出
                    cafp.StartInfo.Arguments = $"{flag} \"{dto.file1}\" \"{dto.file2}\" {(long)dto.samplingRate} {dto.dtCenter} {dto.dtRange} {dto.dfRange} {dto.smpCount} {dto.snrThreshold} {outFile}";
                }
                else
                {
                    var minStart = dto.dtRange / 2 / 1e6 * dto.samplingRate;
                    if (dto.smpStart < minStart)//滑动计算起时值必须要大于等于此数
                    {
                        dto.smpStart = (long)minStart;
                    }
                    cafp.StartInfo.Arguments = $"{flag} \"{dto.file1}\" \"{dto.file2}\" {(long)(dto.samplingRate)} {dto.dtCenter} {dto.dtRange} {dto.dfRange} {dto.smpStart} {dto.smpCount} {dto.snrThreshold} {outFile}";
                }


                cafp.StartInfo.FileName = Path.Combine(cafp.StartInfo.WorkingDirectory, "AddIns\\检测Cpu参估\\XcorrCpu.exe");
                //cafp.StartInfo.Arguments = $"1 \"{xs.file1}\" \"{xs.file2}\" {(long)(xs.samplingRate)} {xs.dtCenter} {xs.dtRange} {xs.dfRange} {xs.smpStart} {xs.smpCount} {xs.snrThreshold} {outFile}";
                cafp.StartInfo.CreateNoWindow = true;
                cafp.StartInfo.RedirectStandardError = true;
                cafp.StartInfo.RedirectStandardOutput = true;
                cafp.StartInfo.UseShellExecute = false;
                cafp.Start();
                Stopwatch stopWatch = new Stopwatch();
                stopWatch.Start();
                cafp.WaitForExit();
                stopWatch.Stop();
                TimeSpan ts = stopWatch.Elapsed;
                var str = cafp.StandardOutput.ReadToEnd();
                if (str.StartsWith("1:") && File.Exists(outFile))
                {
                    var lines = File.ReadAllLines(outFile);
                    if (lines.Length > 1)
                    {
                        var lineFirstArr = lines[0].Split(",".ToCharArray(), StringSplitOptions.RemoveEmptyEntries);
                        int fsHz = Convert.ToInt32(lineFirstArr[0]);
                        int xFlag = Convert.ToInt32(lineFirstArr[1]);
                        int xMax = Convert.ToInt32(lineFirstArr[2]);
                        float yMax = Convert.ToSingle(lineFirstArr[3]);
                        for (int i = 1; i < lines.Length; i++)
                        {
                            var lineArr = lines[i].Split(",".ToCharArray(), StringSplitOptions.RemoveEmptyEntries);
                            ImageResultDto ir = new ImageResultDto()
                            {
                                FsHz = fsHz,
                                XFlag = xFlag,
                                XMax = xMax,
                                YMax = yMax,
                                XValue = Convert.ToInt32(lineArr[0]),
                                YValue = Convert.ToSingle(lineArr[1]),
                                Snr = Convert.ToSingle(lineArr[2]),
                            };
                            list.Add(ir);
                        }
                    }
                    File.Delete(outFile);
                }
            });
            return Success(list);
        }
    }
}