#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 .
*/
#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;
namespace HeuristicLab.CEDMA.Server {
public class Dispatcher {
private List dispatchQueue;
public IList DispatchQueue {
get { return dispatchQueue.Select(t => "StandardGP").ToList(); }
}
private IStore store;
public Dispatcher(IStore store) {
this.store = store;
this.dispatchQueue = new List();
}
private void FillDispatchQueue() {
Dictionary> numberOfModelsOfTargetVariableOfDataSet = new Dictionary>();
IList datasetStatements = store.Select(new Statement(Ontology.AnyEntity, Ontology.PredicateInstanceOf, Ontology.TypeDataSet));
foreach(Statement datasetStatement in datasetStatements) {
numberOfModelsOfTargetVariableOfDataSet.Add(datasetStatement.Subject, new Dictionary());
IList modelStatements = store.Select(new Statement(datasetStatement.Subject, Ontology.PredicateHasModel, Ontology.AnyEntity));
foreach(Statement modelStatement in modelStatements) {
IList modelAttributeStatements = store.Select(new Statement((Entity)modelStatement.Property, Ontology.PredicateModelAttribute, Ontology.AnyEntity));
foreach(Statement modelAttrStatement in modelAttributeStatements) {
var targetVariableStatements = store.Select(new Statement((Entity)modelAttrStatement.Property, Ontology.PredicateModelAttributeName, Ontology.AnyEntity))
.Where(t => (string)((Literal)t.Property).Value == "TargetVariable")
.SelectMany(t => store.Select(new Statement((Entity)modelAttrStatement.Property, Ontology.PredicateModelAttributeValue, Ontology.AnyEntity)))
.GroupBy(t => (int)((Literal)t.Property).Value);
foreach(var targetVariable in targetVariableStatements) {
numberOfModelsOfTargetVariableOfDataSet[datasetStatement.Subject].Add(targetVariable.Key, targetVariable.Count());
}
}
}
}
foreach(KeyValuePair> dataSetEntry in numberOfModelsOfTargetVariableOfDataSet) {
DataSet dataSet = new DataSet(store, dataSetEntry.Key);
foreach(int targetVariable in dataSet.Problem.AllowedTargetVariables)
if(!dataSetEntry.Value.ContainsKey(targetVariable) || dataSetEntry.Value[targetVariable] < 10) {
QueueJob(CreateStandardGp(dataSet, targetVariable));
}
}
}
private StandardGP CreateStandardGp(DataSet dataSet, int targetVariable) {
ProblemInjector probInjector = new ProblemInjector(dataSet.Problem);
probInjector.TargetVariable = targetVariable;
StandardGP sgp = new StandardGP();
sgp.SetSeedRandomly = true;
sgp.MaxGenerations = 100;
sgp.PopulationSize = 10000;
sgp.Elites = 1;
sgp.ProblemInjector = probInjector;
return sgp;
}
private void QueueJob(StandardGP job) {
dispatchQueue.Add(job);
}
private StandardGP GetNextJob() {
if(dispatchQueue.Count == 0) FillDispatchQueue();
StandardGP next = dispatchQueue[0];
dispatchQueue.RemoveAt(0);
return next;
}
internal void Start() {
FillDispatchQueue();
}
}
}