/// <summary>
/// On timer elapse handler.
/// </summary>
/// <remarks>
/// The main idea of this handler is to get GPU load values in order to
/// make decision on restart supervised app. First we get all GPU load
/// valuers and show them to user. After we calculate lowest one and if
/// calculated value lowerer than the theshold supervised app restarts.
/// We have 5 attempts.
/// </remarks>
private void OnElapse()
{
var hasInet = utilMgr.IsOnline();
Output.Write(hasInet ? "Internet ok; " : "No internrt; ", ConsoleColor.Cyan);
var gpus = computer.Hardware.Where(x => x.HardwareType == HardwareType.GpuNvidia || x.HardwareType == HardwareType.GpuAti);
foreach (var gpu in gpus)
{
gpu.Update();
var load = gpu.Sensors.FirstOrDefault(x => x.SensorType == SensorType.Load);
var tmpr = gpu.Sensors.FirstOrDefault(x => x.SensorType == SensorType.Temperature);
Output.Write($"gpu{Regex.Match(gpu.Identifier.ToString(), @"\d+").Value}(ld={load?.Value}%, t={tmpr?.Value} C); ", ConsoleColor.Cyan);
}
Output.WriteLine();
var minLoad = computer.Hardware.Min(x => x.Sensors.FirstOrDefault(y => y.SensorType == SensorType.Load)?.Value);
if (minLoad < args.GpuLoadThreshold)
{
Output.WriteLine($"GPU LOAD {minLoad}%, THERESHOLD {args.GpuLoadThreshold}! RESTART MINER IN {--iteration}", ConsoleColor.Red);
}
else if (hasInet)
{
iteration = MaxItertions;
}
if (!hasInet)
{
Output.WriteLine($"NO INTERNET CONNECTION! RESTART MINER IN {--iteration}", ConsoleColor.Red);
}
else if (minLoad > args.GpuLoadThreshold)
{
iteration = MaxItertions;
}
if (iteration > 0)
{
return;
}
timer.Enabled = false;
Output.Write("RESTARTING MINER...", ConsoleColor.Yellow);
utilMgr.RestartProcess(supervisedProcess);
Output.WriteLine(" OK!", ConsoleColor.Green);
timer.Enabled = true;
iteration = MaxItertions;
}
/// <summary>
/// Here is the behaviour logic depending on internet GPU load status.
/// </summary>
private void LoadActions()
{
if (isStopped)
{
return;
}
var gpus = computer.Hardware.Where(x => x.HardwareType == HardwareType.GpuNvidia || x.HardwareType == HardwareType.GpuAti);
var minLoad = Single.MaxValue;
foreach (var gpu in gpus)
{
gpu.Update();
var load = Single.NaN;
var tmpr = Single.NaN;
foreach (var sensor in gpu.Sensors)
{
if (sensor.SensorType == SensorType.Load && sensor.Name == "GPU Core")
{
if (sensor.Value != null)
{
load = sensor.Value.Value;
}
}
if (sensor.SensorType == SensorType.Temperature && sensor.Name == "GPU Core")
{
if (sensor.Value != null)
{
tmpr = sensor.Value.Value;
}
}
if (load < minLoad)
{
minLoad = load;
}
}
Output.Write($"gpu{Regex.Match(gpu.Identifier.ToString(), @"\d+").Value}(ld={load}%, t={tmpr} C); ", ConsoleColor.Cyan);
}
Output.WriteLine();
if (minLoad < args.GpuLoadThreshold)
{
Output.WriteLine(args.Restart
? $"GPU LOAD {minLoad}%, THRESHOLD {args.GpuLoadThreshold}! RESTART PC IN {--gpuLoadIterations}"
: $"GPU LOAD {minLoad}%, THRESHOLD {args.GpuLoadThreshold}! RESTART MINER IN {--gpuLoadIterations}",
ConsoleColor.Red);
}
else
{
gpuLoadIterations = MaxItertions;
}
if (gpuLoadIterations > 0)
{
return;
}
if (args.Restart)
{
Output.Write("RESTARTING PC IN 5 SECONDS", ConsoleColor.Yellow);
utilMgr.RestartPc();
}
Output.Write("RESTARTING MINER...", ConsoleColor.Yellow);
utilMgr.RestartProcess(supervisedProcess);
Output.WriteLine(" OK!", ConsoleColor.Yellow);
gpuLoadIterations = MaxItertions;
}