source: branches/DataPreprocessing/HeuristicLab.DataPreprocessing/3.3/PreprocessingTransformator.cs @ 10803

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2013 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.Linq;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
using HeuristicLab.Problems.DataAnalysis.Transformations;

namespace HeuristicLab.DataPreprocessing {
  public class PreprocessingTransformator {
    private readonly ITransactionalPreprocessingData preprocessingData;

    public PreprocessingTransformator(IPreprocessingData preprocessingData) {
      this.preprocessingData = (ITransactionalPreprocessingData)preprocessingData;
    }

    public bool ApplyTransformations(IEnumerable<ITransformation> transformations) {
      bool success = true;

      preprocessingData.InTransaction(() => {
        var doubleTransformations = transformations.OfType<Transformation<double>>().ToList();
        ApplyDoubleTranformations(doubleTransformations, out success);
      }, DataPreprocessingChangedEventType.Transformation);

      if (!success) {
        // TODO: check undo remove transformations
        preprocessingData.Undo();
      }

      return success;
    }

    private void ApplyDoubleTranformations(IEnumerable<Transformation<double>> transformations, out bool success) {
      foreach (var transformation in transformations) {
        int colIndex = preprocessingData.GetColumnIndex(transformation.Column);

        var originalData = preprocessingData.GetValues<double>(colIndex);
        var transformedData = ApplyDoubleTransformation(transformation, originalData, out success);
        if (!success) return;

        preprocessingData.SetValues(colIndex, transformedData.ToList());
        preprocessingData.Transformations.Add(transformation);
      }
      success = true;
    }

    private IEnumerable<double> ApplyDoubleTransformation(Transformation<double> transformation, IEnumerable<double> data, out bool success) {
      string errorMsg;
      if (transformation.Check(data, out errorMsg)) {
        success = true;
        return transformation.Apply(data);
      }
      throw new NotImplementedException("Display Check Result");
    }
  }
}