#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis;

namespace HeuristicLab.DataPreprocessing {
  [Item("PreprocessingContext", "PreprocessingContext")]
  [StorableClass]
  public class PreprocessingContext : NamedItem, IStorableContent {

    public string Filename { get; set; }

    public IEnumerable<KeyValuePair<string, Func<IItem>>> ExportPossibilities {
      get {
        var algorithm = Source as IAlgorithm;
        if (algorithm != null)
          yield return new KeyValuePair<string, Func<IItem>>(algorithm.GetType().GetPrettyName(), () => ExportAlgorithm(algorithm));

        var problem = algorithm != null ? algorithm.Problem as IDataAnalysisProblem : Source as IDataAnalysisProblem;
        if (problem != null)
          yield return new KeyValuePair<string, Func<IItem>>(problem.GetType().GetPrettyName(), () => ExportProblem(problem));

        var problemData = problem != null ? problem.ProblemData : Source as IDataAnalysisProblemData;
        if (problemData != null)
          yield return new KeyValuePair<string, Func<IItem>>(problemData.GetType().GetPrettyName(), () => ExportProblemData(problemData));

        // ToDo: Export CSV
      }
    }
    public bool CanExport {
      get { return Source is IAlgorithm || Source is IDataAnalysisProblem || Source is IDataAnalysisProblemData; }
    }

    [Storable]
    public IFilteredPreprocessingData Data { get; private set; }

    [Storable]
    private IItem Source { get; set; }


    public PreprocessingContext() : this(new RegressionProblemData()) {
      Name = "Data Preprocessing";
    }
    public PreprocessingContext(IItem source)
      : base("Data Preprocessing") {
      Import(source);
    }

    [StorableConstructor]
    protected PreprocessingContext(bool deserializing)
      : base(deserializing) { }
    protected PreprocessingContext(PreprocessingContext original, Cloner cloner)
      : base(original, cloner) {
      Source = cloner.Clone(original.Source);
      Data = cloner.Clone(original.Data);
    }

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

    #region Import
    public void Import(IItem source) {
      Source = source;
      var namedSource = source as INamedItem;
      if (namedSource != null) Name = "Preprocessing: " + namedSource.Name;

      var dataSource = ExtractProblemData(source);
      Data = new FilteredPreprocessingData(new TransactionalPreprocessingData(dataSource));
    }

    private IDataAnalysisProblemData ExtractProblemData(IItem source) {
      var algorithm = source as Algorithm;
      var problem = algorithm != null ? algorithm.Problem as IDataAnalysisProblem : source as IDataAnalysisProblem;
      var problemData = problem != null ? problem.ProblemData : source as IDataAnalysisProblemData;
      return problemData;
    }
    #endregion

    #region Export
    public IItem Export() {
      if (Source is IAlgorithm)
        return ExportAlgorithm((IAlgorithm)Source);
      if (Source is IDataAnalysisProblem)
        return ExportProblem((IDataAnalysisProblem)Source);
      if (Source is IDataAnalysisProblemData)
        return ExportProblemData((IDataAnalysisProblemData)Source);
      return null;
    }
    private IAlgorithm ExportAlgorithm(IAlgorithm source) {
      var preprocessedAlgorithm = (IAlgorithm)source.Clone();
      preprocessedAlgorithm.Name = preprocessedAlgorithm.Name + "(Preprocessed)";
      preprocessedAlgorithm.Runs.Clear();
      var problem = (IDataAnalysisProblem)preprocessedAlgorithm.Problem;
      SetNewProblemData(problem);
      return preprocessedAlgorithm;
    }
    private IDataAnalysisProblem ExportProblem(IDataAnalysisProblem source) {
      var preprocessedProblem = (IDataAnalysisProblem)source.Clone();
      SetNewProblemData(preprocessedProblem);
      return preprocessedProblem;
    }
    private IDataAnalysisProblemData ExportProblemData(IDataAnalysisProblemData source) {
      var creator = new ProblemDataCreator(this);
      var preprocessedProblemData = creator.CreateProblemData(source);
      preprocessedProblemData.Name = "Preprocessed " + source.Name;
      return preprocessedProblemData;
    }
    private void SetNewProblemData(IDataAnalysisProblem problem) {
      var data = ExtractProblemData(problem.ProblemData);
      problem.ProblemDataParameter.ActualValue = data;
      problem.Name = "Preprocessed " + problem.Name;
    }
    #endregion
  }
}