#region License Information
/* HeuristicLab
* Copyright (C) 2002-2019 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HEAL.Attic;
using HeuristicLab.Problems.DataAnalysis;
namespace HeuristicLab.DataPreprocessing {
[Item("PreprocessingContext", "PreprocessingContext")]
[StorableType("52D31B2B-7D48-482B-B875-5FCE0F8397A8")]
public class PreprocessingContext : NamedItem, IStorableContent {
public string Filename { get; set; }
[Storable]
public IFilteredPreprocessingData Data { get; private set; }
[Storable]
private IItem Source { get; set; }
public event EventHandler Reset;
#region Constructors
public PreprocessingContext(IDataAnalysisProblemData problemData, IItem source = null)
: base("Data Preprocessing") {
if (problemData == null) throw new ArgumentNullException("problemData");
Import(problemData, source);
}
[StorableConstructor]
protected PreprocessingContext(StorableConstructorFlag _) : base(_) { }
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);
}
#endregion
#region Import
public void Import(IDataAnalysisProblemData problemData, IItem source = null) {
if (problemData == null) throw new ArgumentNullException("problemData");
if (source != null && ExtractProblemData(source) != problemData)
source = null; // ignore the source if the source's problem data is different
Source = source ?? problemData;
var namedSource = Source as INamedItem;
if (namedSource != null)
Name = "Preprocessing " + namedSource.Name;
Data = new FilteredPreprocessingData(new PreprocessingData(problemData));
OnReset();
// Reset GUI:
// - OnContentChanged for PreprocessingView!
// event? task(async import)?
}
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 bool CanExport {
get { return Source is IAlgorithm || Source is IDataAnalysisProblem || Source is IDataAnalysisProblemData; }
}
public IEnumerable>> GetSourceExportOptions() {
var algorithm = Source as IAlgorithm;
if (algorithm != null)
yield return new KeyValuePair>(
algorithm.GetType().GetPrettyName(),
() => ExportAlgorithm(algorithm));
var problem = algorithm != null ? algorithm.Problem as IDataAnalysisProblem : Source as IDataAnalysisProblem;
if (problem != null)
yield return new KeyValuePair>(
problem.GetType().GetPrettyName(),
() => ExportProblem(problem));
var problemData = problem != null ? problem.ProblemData : Source as IDataAnalysisProblemData;
if (problemData != null)
yield return new KeyValuePair>(
problemData.GetType().GetPrettyName(),
() => ExportProblemData(problemData));
}
private IAlgorithm ExportAlgorithm(IAlgorithm source) {
var preprocessedAlgorithm = (IAlgorithm)source.Clone();
preprocessedAlgorithm.Name = preprocessedAlgorithm.Name + "(Preprocessed)";
preprocessedAlgorithm.Runs.Clear();
var problem = (IDataAnalysisProblem)preprocessedAlgorithm.Problem;
problem.ProblemDataParameter.ActualValue = CreateNewProblemData();
return preprocessedAlgorithm;
}
private IDataAnalysisProblem ExportProblem(IDataAnalysisProblem source) {
var preprocessedProblem = (IDataAnalysisProblem)source.Clone();
preprocessedProblem.ProblemDataParameter.ActualValue = CreateNewProblemData();
return preprocessedProblem;
}
private IDataAnalysisProblemData ExportProblemData(IDataAnalysisProblemData source) {
return CreateNewProblemData();
}
public IDataAnalysisProblemData CreateNewProblemData() {
var creator = new ProblemDataCreator(this);
var oldProblemData = ExtractProblemData(Source);
var newProblemData = creator.CreateProblemData(oldProblemData);
newProblemData.Name = "Preprocessed " + oldProblemData.Name;
return newProblemData;
}
#endregion
protected virtual void OnReset() {
if (Reset != null)
Reset(this, EventArgs.Empty);
}
}
}