protected async override Task ExecuteAsync()
{
Console.WriteLine("Starting Herd");
var herd = new Shepherd(Root.Connection, "", worldKey: World);
var configMonster = new ConfigMonster();
configMonster.Configure(File);
var baseMonsterType = Type.GetType(configMonster.RobotType);
var parent = Activator.CreateInstance(baseMonsterType, herd) as ConfigMonster;
if (File != null)
{
parent.Configure(File);
}
await herd.StartRobot(parent);
await parent.SpawnAsync();
Console.ReadLine();
}
public ShepherdViewModel()
{
HerdAgentList.Clear();
m_shepherd = new Shepherd();
m_shepherd.SetOnHerdAgentDiscoveryFunc(OnHerdAgetDiscovery);
m_shepherd.CallHerd();
}
public ExperimentBatch(string name, List <MonitoredExperimentViewModel> experiments, HerdAgentViewModel herdAgent
, PlotViewModel evaluationPlot, CancellationToken cancelToken, Logger.LogFunction logFunction)
{
m_name = name;
m_monitoredExperiments = experiments;
m_herdAgent = herdAgent;
m_logFunction = logFunction;
m_shepherd = new Shepherd();
m_shepherd.setLogMessageHandler(logFunction);
m_cancelToken = cancelToken;
m_evaluationPlot = evaluationPlot;
m_experimentSeriesId = new Dictionary <string, int>();
}
public ShepherdViewModel()
{
m_shepherd = new Shepherd();
m_shepherd.setNotifyAgentListChangedFunc(notifyHerdAgentChanged);
m_timer = new System.Timers.Timer(m_updateTimeSeconds * 1000);
m_shepherd.sendBroadcastHerdAgentQuery();
m_shepherd.beginListeningHerdAgentQueryResponses();
m_timer.AutoReset = true;
m_timer.Elapsed += new System.Timers.ElapsedEventHandler(resendBroadcast);
m_timer.Start();
}
protected async override Task ExecuteAsync()
{
Console.WriteLine("Starting Herd");
var shepard = new Shepherd(Root.Connection, "", worldKey: World);
var sheparedConfiguration = System.IO.File.ReadAllText(File);
JsonConvert.PopulateObject(sheparedConfiguration, shepard);
await shepard.RunAsync();
Console.WriteLine("they dead, man.");
}
public static void Run()
{
Console.WriteLine("Scanning herd agents:\n");
Shepherd shepherd = new Shepherd();
shepherd.CallHerd();
Thread.Sleep(2000);
List <HerdAgentInfo> herdAgents = new List <HerdAgentInfo>();
shepherd.GetHerdAgentList(ref herdAgents);
for (int i = 0; i < herdAgents.Count; i++)
{
Console.WriteLine("#{0}: IP={1} Num.Processors={2} Architecture={3}", i, herdAgents[i].IpAddressString, herdAgents[i].NumProcessors, herdAgents[i].ProcessorArchitecture);
}
}
public SpawnBeast(Shepherd tender) : base(tender)
{
}
public SpawnChild(Shepherd tender) : base(tender)
{
this.Sprite = Sprites.ship_gray.ToString();
}
public ConfigMonster(Shepherd tender = null)
{
Tender = tender;
}
// Start is called before the first frame update
void Awake()
{
movable = GetComponent <Movable>();
animator = GetComponent <Animator>();
instance = this;
}
public Territory(Shepherd tender) : base(tender)
{
SwapTeams();
}
public static void Run(string batchFilename, bool onlyUnfinished)
{
if (batchFilename == null)
{
Console.WriteLine("Error. Missing argument: -batch");
return;
}
if (!File.Exists(batchFilename))
{
Console.WriteLine("Error. File doesn't exist: " + batchFilename);
return;
}
//All the experimental units or only unfinished???
LoadOptions loadOptions = new LoadOptions();
if (onlyUnfinished)
{
loadOptions.Selection = LoadOptions.ExpUnitSelection.OnlyUnfinished;
}
else
{
loadOptions.Selection = LoadOptions.ExpUnitSelection.All;
}
Console.WriteLine("Running batch file: " + batchFilename);
g_writer = System.IO.File.CreateText("log.txt");
ExperimentBatch batch = new ExperimentBatch();
batch.Load(batchFilename, loadOptions);
NumUnfinishedExpUnits = batch.CountExperimentalUnits();
NumTotalExpUnits = NumUnfinishedExpUnits;
if (NumUnfinishedExpUnits == 0)
{
Console.WriteLine("Finished: No experimental unit to be run");
return;
}
else
{
Console.SetCursorPosition(0, experimentStatsLine);
Console.WriteLine("Experimental units:");
UpdateExperimentStats();
}
Console.SetCursorPosition(0, herdAgentsLine);
Console.Write("Herd agents:");
Shepherd shepherd = new Shepherd();
shepherd.CallHerd();
Thread.Sleep(2000);
List <HerdAgentInfo> herdAgents = new List <HerdAgentInfo>();
shepherd.GetHerdAgentList(ref herdAgents);
Console.SetCursorPosition(herdAgentsRow, herdAgentsLine);
Console.WriteLine("{0} available", herdAgents.Count);
if (herdAgents.Count == 0)
{
Console.WriteLine("Error: no herd agents found to run the experiment batch");
}
Console.Write("Total progress: ");
List <ExperimentalUnit> experiments = new List <ExperimentalUnit>();
foreach (Experiment exp in batch.Experiments)
{
experiments.AddRange(exp.ExperimentalUnits);
}
CancellationTokenSource cancelSource = new CancellationTokenSource();
Monitoring.MsgDispatcher dispatcher = new Monitoring.MsgDispatcher(OnJobAssigned, OnJobFinished
, DispatchOnAllStatesChanged, DispatchOnStateChanged
, DispatchOnMessageReceived, DispatchOnExperimentalUnitLaunched
, Log, cancelSource.Token);
int numExecutedExperimentalUnits =
JobDispatcher.RunExperimentsAsync(experiments, herdAgents, dispatcher, cancelSource).Result;
Console.SetCursorPosition(0, resultLine);
Console.WriteLine("Badger finished: " + numExecutedExperimentalUnits + " experimental units were succesfully run");
g_writer.Close();
}
