source: branches/HeuristicLab.Hive-3.4/sources/HeuristicLab.HiveEngine/3.3/Tests/Program.cs @ 6725

using System;
using System.IO;
using System.Linq;
using System.Reflection;
using System.Threading;
using HeuristicLab.Algorithms.GeneticAlgorithm;
using HeuristicLab.Clients.Hive;
using HeuristicLab.Clients.Hive.Jobs;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.PluginInfrastructure.Manager;
using HeuristicLab.Problems.TestFunctions;

namespace HeuristicLab.HiveEngine.Test {
  public class Program {
    static void Main(string[] args) {
      PluginManager pm = new PluginManager(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location));
      pm.DiscoverAndCheckPlugins();
      pm.Run(pm.Applications.Where(x => x.Name == "HeuristicLab.HiveEngine.Test").SingleOrDefault());
    }
  }

  [Plugin("HeuristicLab.HiveEngine.Test", "1.0.0.0")]
  [PluginFile("HeuristicLab.HiveEngine.Test.exe", PluginFileType.Assembly)]
  public class TestPlugin : PluginBase { }

  [Application("HeuristicLab.HiveEngine.Test")]
  public class TestApp : ApplicationBase {

    public override void Run() {
      ContentManager.Initialize(new PersistenceContentManager());

      OptimizerTask job = new OptimizerTask(new Experiment());
      job.IndexInParentOptimizerList = 15;

      //byte[] data = PersistenceUtil.Serialize(task);

      //var job2 = PersistenceUtil.Deserialize<OptimizerJob>(data);
      
      #region Credentials
      ServiceLocator.Instance.Username = "cneumuel";
      ServiceLocator.Instance.Password = "";
      #endregion

      GeneticAlgorithm alg = new GeneticAlgorithm();
      alg.Problem = new SingleObjectiveTestFunctionProblem();
      alg.Engine = new HiveEngine() { ResourceNames = "HEAL" };
      alg.Elites.Value = 0;
      alg.PopulationSize.Value = 10;
      alg.MaximumGenerations.Value = 3;

      //var alg = ContentManager.Load("Meta-GA - Meta Optimization Problem (Genetic Programming - Symbolic Regression 3.4 scaled)_small.hl") as GeneticAlgorithm;
      //alg.Engine = new HiveEngine() { ResourceNames = "CHRISTOPH-PC" };
      //alg.PopulationSize.Value = 2;
      //((MetaOptimizationProblem)alg.Problem).Repetitions.Value = 5;

      alg.Start();

      while (alg.ExecutionState != Core.ExecutionState.Stopped && alg.ExecutionState != Core.ExecutionState.Paused) {
        Thread.Sleep(2000);
        Console.Clear();
        Console.WriteLine(string.Join(Environment.NewLine, alg.Results.Select(x => x.ToString()).ToArray()));
        Console.WriteLine("---");
        Console.WriteLine("Log:");
        Console.WriteLine(string.Join(Environment.NewLine, alg.Engine.Log.Messages.ToArray()));
        var exps = ((HiveEngine)alg.Engine).Jobs;
        foreach (var exp in exps) {
          Console.WriteLine("# " + exp.ToString());
          Console.WriteLine(string.Join(Environment.NewLine, exp.Log.Messages.ToArray()));
        }
      }
      Console.WriteLine("finished: " + alg.ExecutionState);

      Console.WriteLine("Storing...");
      ContentManager.Save((IStorableContent)alg, string.Format("result_{0}.hl", DateTime.Now.ToString("yy.MM.dd HH;mm;ss")), true);
      Console.WriteLine("Finished");

      Console.ReadLine();
    }
  }
}