private void UpdateRLMStatus(string statusMsg, bool isDone = false)
{
if (tokenSource.IsCancellationRequested)
{
return;
}
Dispatcher.Invoke(() =>
{
statusTxt.Text = statusMsg;
isRLMDone = isDone;
if (headToHead)
{
if (isRLMDone)
{
bool optimizeEncog = rdbEncog.IsChecked.HasValue && rdbEncog.IsChecked.Value;
Task.Run(() => {
//Item[] items;
//using (PlanogramContext ctx = new PlanogramContext())
//{
// MockData mock = new MockData(ctx);
// items = mock.GetItemsWithAttr();
// simSettings.ItemMetricMin = mock.GetItemMinimumScore(simSettings);
// simSettings.ItemMetricMax = mock.GetItemMaximumScore(simSettings);
//}
if (optimizeEncog)
{
var encogOpt = new PlanogramOptimizerEncog(itemsCache, simSettings, UpdateTensorflowResults, UpdateTensorflowStatus, Logger, true);
encogOpt.StartOptimization(tokenSource.Token);
}
else
{
// let's tensorflow (or other listeners) know that it should start training
OnSimulationStart?.Invoke(itemsCache, simSettings, tokenSource.Token);
}
});
if (isTensorflowDone)
{
EnableControlButtons(true);
}
}
}
else
{
if (isRLMDone)
{
EnableControlButtons(true);
}
}
});
}
public void Start()
{
OnSimulationStart?.Invoke();
GameMode?.EmitSimulationStart(this);
_state = SimulationState.Running;
Thread t = new Thread(Simulate)
{
Name = "Simulation",
IsBackground = true
};
t.Start();
}
private static void StartSimulation()
{
//if (!SimulationRun)
{
//GameTimer = new Timer(GameTimerTick, null, new TimeSpan(0, 0, 0), GameCycleSpan);
//coins = StartCoins;
//Util.ConnectionToServer.SendDataToServer("Start simulation");
Statistic = new SimulationInfo();
Coins = 0;
Util.ConnectionToServer.SendSimulationStatus(SimulationRun);
ChangeCoinsUp(Settings.StartCoins);
PastTime = TimeHour = TimeDay = TimeMonth = 0;
GameThread?.Abort();
GameThread = new Thread(GameThreadFunc);
GameThread.Priority = ThreadPriority.Lowest;
GameThread.Start();
OnSimulationStart?.Invoke();
Tools.Message(MessageStatus.Info, Localization.GetText("Text13"));
}
}
private void UpdateRLMStatus(string statusMsg, bool isDone = false)
{
Dispatcher.Invoke(() =>
{
statusTxt.Text = statusMsg;
isRLMDone = isDone;
if (headToHead)
{
if (isRLMDone)
{
Task.Run(() => {
Item[] items;
using (PlanogramContext ctx = new PlanogramContext())
{
MockData mock = new MockData(ctx);
items = mock.GetItemsWithAttr();
simSettings.ItemMetricMin = mock.GetItemMinimumScore(simSettings);
simSettings.ItemMetricMax = mock.GetItemMaximumScore(simSettings);
}
// let's tensorflow (or other listeners) know that it should start training
OnSimulationStart?.Invoke(items, simSettings);
});
if (isTensorflowDone)
{
EnableControlButtons(true);
}
}
}
else
{
if (isRLMDone)
{
EnableControlButtons(true);
}
}
});
}
