source: trunk/sources/HeuristicLab.CEDMA.Server/3.3/ExecuterBase.cs @ 1912

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Text;
using System.Windows.Forms;
using HeuristicLab.PluginInfrastructure;
using System.Net;
using System.ServiceModel;
using HeuristicLab.CEDMA.DB.Interfaces;
using HeuristicLab.CEDMA.DB;
using System.ServiceModel.Description;
using System.Linq;
using HeuristicLab.CEDMA.Core;
using HeuristicLab.GP.StructureIdentification;
using HeuristicLab.Data;
using HeuristicLab.Grid;
using System.Diagnostics;
using HeuristicLab.Core;
using System.Threading;

namespace HeuristicLab.CEDMA.Server {
  public abstract class ExecuterBase : IExecuter {
    private IDispatcher dispatcher;
    protected IDispatcher Dispatcher {
      get { return dispatcher; }
    }
    private IStore store;

    private int maxActiveJobs;
    public int MaxActiveJobs {
      get { return maxActiveJobs; }
      set {
        if (value < 0) throw new ArgumentException("Only positive values are allowed for MaxActiveJobs");
        maxActiveJobs = value;
      }
    }

    public ExecuterBase(IDispatcher dispatcher, IStore store) {
      maxActiveJobs = 10;
      this.dispatcher = dispatcher;
      this.store = store;
    }

    public void Start() {
      new Thread(StartJobs).Start();
    }

    protected abstract void StartJobs();

    protected void StoreResults(Execution finishedExecution, IEngine finishedEngine) {
      Entity model = new Entity(Ontology.CedmaNameSpace + Guid.NewGuid());
      store.Add(new Statement(finishedExecution.DataSetEntity, Ontology.PredicateHasModel, model));
      StoreModelAttribute(model, Ontology.TargetVariable, finishedExecution.TargetVariable);
      StoreModelAttribute(model, Ontology.AlgorithmName, finishedExecution.Description);
      Scope bestModelScope = finishedEngine.GlobalScope.GetVariableValue<Scope>("BestValidationSolution", false);
      StoreModelVariable(model, Ontology.TrainingMeanSquaredError, bestModelScope, "Quality");
      StoreModelVariable(model, Ontology.ValidationMeanSquaredError, bestModelScope, "ValidationQuality");
      StoreModelVariable(model, Ontology.TestMeanSquaredError, bestModelScope, "TestQuality");
      StoreModelVariable(model, Ontology.TrainingMeanAbsolutePercentageError, bestModelScope, "TrainingMAPE");
      StoreModelVariable(model, Ontology.ValidationMeanAbsolutePercentageError, bestModelScope, "ValidationMAPE");
      StoreModelVariable(model, Ontology.TestMeanAbsolutePercentageError, bestModelScope, "TestMAPE");
      StoreModelVariable(model, Ontology.TrainingMeanAbsolutePercentageOfRangeError, bestModelScope, "TrainingMAPRE");
      StoreModelVariable(model, Ontology.ValidationMeanAbsolutePercentageOfRangeError, bestModelScope, "ValidationMAPRE");
      StoreModelVariable(model, Ontology.TestMeanAbsolutePercentageOfRangeError, bestModelScope, "TestMAPRE");
      StoreModelVariable(model, Ontology.TrainingCoefficientOfDetermination, bestModelScope, "TrainingR2");
      StoreModelVariable(model, Ontology.ValidationCoefficientOfDetermination, bestModelScope, "ValidationR2");
      StoreModelVariable(model, Ontology.TestCoefficientOfDetermination, bestModelScope, "TestR2");
      StoreModelVariable(model, Ontology.TrainingCoefficientOfDetermination, bestModelScope, "TrainingVAF");
      StoreModelVariable(model, Ontology.ValidationCoefficientOfDetermination, bestModelScope, "ValidationVAF");
      StoreModelVariable(model, Ontology.TestCoefficientOfDetermination, bestModelScope, "TestVAF");
      StoreModelVariable(model, Ontology.TrainingTheilsInequalityCoefficient, bestModelScope, "TrainingTheilInequalityCoefficient");
      StoreModelVariable(model, Ontology.ValidationTheilsInequalityCoefficient, bestModelScope, "ValidationTheilInequalityCoefficient");
      StoreModelVariable(model, Ontology.TestTheilsInequalityCoefficient, bestModelScope, "TestTheilInequalityCoefficient");
      StoreModelVariable(model, Ontology.TrainingAccuracy, bestModelScope, "TrainingAccuracy");
      StoreModelVariable(model, Ontology.ValidationAccuracy, bestModelScope, "ValidationAccuracy");
      StoreModelVariable(model, Ontology.TestAccuracy, bestModelScope, "TestAccuracy");
      StoreModelVariable(model, Ontology.TreeSize, bestModelScope, "TreeSize");
      StoreModelVariable(model, Ontology.TreeHeight, bestModelScope, "TreeHeight");
      StoreModelVariable(model, Ontology.EvaluatedSolutions, bestModelScope, "EvaluatedSolutions");

      byte[] serializedModel = PersistenceManager.SaveToGZip(bestModelScope.GetVariableValue("FunctionTree", false));
      store.Add(new Statement(model, Ontology.PredicateSerializedData, new Literal(Convert.ToBase64String(serializedModel))));
    }

    private void StoreModelVariable(Entity model, Entity entity, Scope scope, string variableName) {
      if (scope.GetVariable(variableName) != null)
        StoreModelAttribute(model, entity, scope.GetVariableValue<ObjectData>(variableName, false).Data);
    }

    private void StoreModelAttribute(Entity model, Entity predicate, object value) {
      store.Add(new Statement(model, predicate, new Literal(value)));
    }

    public abstract string[] GetJobs();
  }
}