public async Task AutoForecast()
{
string lastFolder;
const int dataHours = 200;
const int periods = 24;
const bool hourlySeasonality = false;
const bool dailySeasonality = false;
const string readFrom = "assets";
try
{
IEnumerable <string> assets;
if (readFrom.ToLower().Equals("assets"))
{
assets = _fileManager.ReadAssetsFromExcel(_directoryManager.AsstesLocation);
}
else
{
assets = _fileManager.ReadAssetsFromExcel(_directoryManager.ObservablesLocation);
}
var currentTime = DateTime.Now;
Parallel.ForEach(assets, asset =>
{
var pathToFolder =
_directoryManager.GenerateForecastFolder(asset, periods, DirSwitcher.Auto, currentTime);
var normalized = _processModel.GetDataAuto(asset, dataHours);
if (normalized == null || !normalized.Any())
{
_directoryManager.RemoveFolder(pathToFolder);
var zeroResults = new ExcelLog()
{
AssetName = asset,
Log = Indicator.ZeroRezults.ToString(),
Rate = "0",
Width = "0",
Volume = "0",
Change = "0",
Rsi = "0"
};
Shared.Log(zeroResults);
//Shared.Log(asset, Indicator.ZeroRezults, 0, "0", 0, 0, 0);
return;
}
var csv = _fileManager.CreateDataCsv(normalized, pathToFolder);
if (string.IsNullOrEmpty(csv))
{
var zeroResults = new ExcelLog()
{
AssetName = asset,
Log = Indicator.ZeroRezults.ToString(),
Rate = "0",
Width = "0",
Volume = "0",
Change = "0",
Rsi = "0"
};
Shared.Log(zeroResults);
//Shared.Log(asset, Indicator.ZeroRezults, 0, "0", 0, 0, 0);
return;
}
_directoryManager.SaveDataFile(csv, pathToFolder);
_pythonExec.RunPython(pathToFolder, periods, hourlySeasonality, dailySeasonality);
var pathToOut = _directoryManager.FilePathOut(pathToFolder);
var pathToComponents = _directoryManager.FileComponentsOut(pathToFolder);
var pathToForecast = _directoryManager.FileForecastOut(pathToFolder);
var outCreated = _directoryManager.WaitForFile(pathToOut, 60);
var componentsCreated = _directoryManager.WaitForFile(pathToComponents, 10);
var forecastCreated = _directoryManager.WaitForFile(pathToForecast, 10);
if (!outCreated.Result || !forecastCreated.Result || !componentsCreated.Result)
{
return;
}
var stats = _fileManager.BuildOutTableRows(pathToOut, periods);
var performance = _utility.DefinePerformance(stats);
var marketFeatures = _utility.GetFeatures(normalized, asset);
var rsi = _utility.Rsi(normalized);
var log = new ExcelLog()
{
AssetName = asset,
Log = performance.Indicator.ToString(),
Rate = performance.Rate.ToString(),
Width = performance.Width.ToString(),
Volume = marketFeatures.Volume.ToString() + "BTC",
Change = marketFeatures.Change.ToString("N2"),
Rsi = rsi.ToString("N2") + "%"
};
Shared.Log(log);
//Shared.Log(asset, performance.Indicator, performance.Rate, performance.Width.ToString(),marketFeatures.Volume, marketFeatures.Change, rsi);
_directoryManager.SpecifyDirByTrend(performance.Indicator, pathToFolder);
}
);
lastFolder = _directoryManager.GetLastFolder(DirSwitcher.Auto);
var results = _directoryManager.GetListByIndicator(lastFolder);
var res = _fileManager.WriteLogExcel(lastFolder, Shared.GetLog);
_directoryManager.WriteLogToExcel(lastFolder, res);
Shared.ClearLog();
var model = _requestHelper.GetStats();
await _messenger.SendMessage("Done Assets");
}
catch (Exception e)
{
lastFolder = _directoryManager.GetLastFolder(DirSwitcher.Auto);
if (Shared.GetLog.Any())
{
var res = _fileManager.WriteLogExcel(lastFolder, Shared.GetLog);
_directoryManager.WriteLogToExcel(lastFolder, res);
Shared.ClearLog();
}
await _messenger.SendMessage("Failed Assets");
throw new Exception(e.Message);
}
}
public async Task <ManualViewModel> MakeManualForecast(string asset, int dataHours, int periods,
bool hourlySeasonality, bool dailySeasonality)
{
var viewModel = new ManualViewModel();
var directory = _directoryManager;
var file = _fileManager;
try
{
var normalized = _processModel.GetDataManual(asset, dataHours);
var location = directory.GenerateForecastFolder(asset, periods, DirSwitcher.Manual);
var csv = _fileManager.CreateDataCsv(normalized, location);
if (string.IsNullOrEmpty(csv))
{
throw new Exception("Not enough data: " + asset);
}
_directoryManager.SaveDataFile(csv, location);
_pythonExec.RunPython(location, periods, hourlySeasonality, dailySeasonality);
var pathToOut = directory.FilePathOut(location);
var pathToComponents = directory.FileComponentsOut(location);
var pathToForecast = directory.FileForecastOut(location);
var outCreated = await directory.WaitForFile(pathToOut, 60);
var componentsCreated = await directory.WaitForFile(pathToComponents, 10);
var forecastCreated = await directory.WaitForFile(pathToForecast, 10);
var images = directory.ImagePath(DirSwitcher.Manual);
if (forecastCreated)
{
viewModel.ForecastPath = images.ForecastImage;
}
else
{
throw new Exception("forecast.png not found");
}
if (componentsCreated)
{
viewModel.ComponentsPath = images.ComponentsImage;
}
else
{
throw new Exception("components.png not found");
}
if (outCreated)
{
var stats = file.BuildOutTableRows(pathToOut, periods);
var performance = _utility.DefinePerformance(stats);
viewModel.Table = stats.Table;
viewModel.Indicator = performance.Indicator;
viewModel.Rate = performance.Rate.ToString("N2");
viewModel.Width = performance.Width.ToString();
var marketFeatures = _utility.GetFeatures(normalized, asset);
viewModel.Volume = marketFeatures.Volume.ToString();
viewModel.Change = marketFeatures.Change.ToString("N2");
var rsi = _utility.Rsi(normalized);
viewModel.Rsi = rsi.ToString("N2");
}
else
{
throw new Exception("out.csv not found");
}
viewModel.AssetName = asset;
var model = _requestHelper.GetStats();
viewModel.CallsLeftHisto = model.CallsLeft.Histo;
viewModel.CallsMadeHisto = model.CallsMade.Histo;
return(viewModel);
}
catch (Exception e)
{
throw new Exception(e.Message);
}
}