#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 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.Drawing;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Operators;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Analysis.FitnessLandscape.Analysis {

  [StorableClass]
  public class FitnessCloudAnalyzer : AlgorithmOperator, IQualityTrailAnalyzer {
    public bool EnabledByDefault {
      get { return false; }
    }

    #region Parameters
    public LookupParameter<DataTable> QualityTrailParameter {
      get { return (LookupParameter<DataTable>)Parameters["Quality Trail"]; }
    }
    public LookupParameter<ScatterPlot> FitnessCloudParameter {
      get { return (LookupParameter<ScatterPlot>)Parameters["Fitness Cloud"]; }
    }
    public LookupParameter<VariableCollection> ResultsParameter {
      get { return (LookupParameter<VariableCollection>)Parameters["Results"]; }
    }
    #endregion

    [StorableConstructor]
    protected FitnessCloudAnalyzer(bool deserializing) : base(deserializing) { }
    protected FitnessCloudAnalyzer(FitnessCloudAnalyzer original, Cloner cloner) : base(original, cloner) { }

    public FitnessCloudAnalyzer() {
      Parameters.Add(new LookupParameter<DataTable>("Quality Trail", "The qualities of the solutions"));
      Parameters.Add(new LookupParameter<ScatterPlot>("Fitness Cloud", "Information stability development over time"));
      Parameters.Add(new LookupParameter<VariableCollection>("Results", "The collection of all results of this algorithm"));

      var resultsCollector = new ResultsCollector();
      resultsCollector.CollectedValues.Add(new LookupParameter<ScatterPlot>(FitnessCloudParameter.Name));

      OperatorGraph.InitialOperator = resultsCollector;
      resultsCollector.Successor = null;
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      return new FitnessCloudAnalyzer(this, cloner);
    }

    public override IOperation Apply() {
      ScatterPlot fitnessCloud = FitnessCloudParameter.ActualValue;
      if (fitnessCloud == null) {
        fitnessCloud = new ScatterPlot();
        FitnessCloudParameter.ActualValue = fitnessCloud;
        fitnessCloud.Name = "Fitness Cloud";
        fitnessCloud.XAxisName = "Fitness";
        fitnessCloud.YAxisName = "Neighboring Fitness";
      }

      DataTable qualityTrail = QualityTrailParameter.ActualValue;
      if (qualityTrail != null && qualityTrail.Rows.Count > 0) {
        var qualities = qualityTrail.Rows.First().Values.ToList();
        if (qualities.Count > 2) {
          fitnessCloud.Add(Utils.Delta(qualities, (a, b) => new PointF((float)a, (float)b)));
        }
      }
      return base.Apply();
    }
  }
}