#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;
using System.Collections.Generic;
using System.Linq;
using System.Drawing;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Core;
using HeuristicLab.Optimization;
using HeuristicLab.Common;
using HeuristicLab.Parameters;
using HeuristicLab.Data;
using HeuristicLab.PluginInfrastructure;

namespace HeuristicLab.Problems.MetaOptimization {
  [Item("Meta Optimization Problem", "Represents a Meta Optimization Problem.")]
  [Creatable("Problems")]
  [StorableClass]
  public sealed class MetaOptimizationProblem : ParameterizedNamedItem, ISingleObjectiveProblem, IStorableContent {
    public string Filename { get; set; }

    public override Image ItemImage {
      get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Type; }
    }

    #region Parameter Properties

    public ValueParameter<IntValue> RepetitionsParameter {
      get { return (ValueParameter<IntValue>)Parameters["Repetitions"]; }
    }

    public ValueParameter<IParameterSetCreator> SolutionCreatorParameter {
      get { return (ValueParameter<IParameterSetCreator>)Parameters["SolutionCreator"]; }
    }
    IParameter IProblem.SolutionCreatorParameter {
      get { return SolutionCreatorParameter; }
    }

    public ValueParameter<IMetaOptimizationEvaluator> EvaluatorParameter {
      get { return (ValueParameter<IMetaOptimizationEvaluator>)Parameters["Evaluator"]; }
    }
    IParameter IProblem.EvaluatorParameter {
      get { return EvaluatorParameter; }
    }

    public OptionalValueParameter<ParameterSet> BestKnownSolutionParameter {
      get { return (OptionalValueParameter<ParameterSet>)Parameters["BestKnownSolution"]; }
    }

    public ValueParameter<BoolValue> MaximizationParameter {
      get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
    }
    IParameter ISingleObjectiveProblem.MaximizationParameter {
      get { return MaximizationParameter; }
    }

    public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
      get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
    }
    IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
      get { return BestKnownQualityParameter; }
    }

    public ValueParameter<IAlgorithm> AlgorithmParameter {
      get { return (ValueParameter<IAlgorithm>)Parameters["Algorithm"]; }
    }
    public ValueParameter<ParameterConfigurationList> ParametersToOptimizeParameter {
      get { return (ValueParameter<ParameterConfigurationList>)Parameters["ParametersToOptimize"]; }
    }
    #endregion

    #region Properties

    public IntValue Repetitions {
      get { return RepetitionsParameter.Value; }
      set { RepetitionsParameter.Value = value; }
    }

    public IEnumerable<IOperator> Operators {
      get { return operators; }
    }

    IEvaluator IProblem.Evaluator {
      get { return EvaluatorParameter.Value; }
    }
    public IMetaOptimizationEvaluator Evaluator {
      get { return EvaluatorParameter.Value; }
      set { EvaluatorParameter.Value = value; }
    }

    ISolutionCreator IProblem.SolutionCreator {
      get { return SolutionCreatorParameter.Value; }
    }
    public IParameterSetCreator SolutionCreator {
      get { return SolutionCreatorParameter.Value; }
    }

    ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
      get { return this.Evaluator; }
    }

    public DoubleValue BestKnownQuality {
      get { return BestKnownQualityParameter.Value; }
      set { BestKnownQualityParameter.Value = value; }
    }
    public ParameterSet BestKnownSolution {
      get { return BestKnownSolutionParameter.Value; }
      set { BestKnownSolutionParameter.Value = value; }
    }

    public IAlgorithm Algorithm {
      get { return AlgorithmParameter.Value; }
      set { AlgorithmParameter.Value = value; }
    }

    public ParameterConfigurationList ParametersToOptimize {
      get { return ParametersToOptimizeParameter.Value; }
      set { ParametersToOptimizeParameter.Value = value; }
    }

    private BestQualityAnalyzer BestQualityAnalyzer {
      get { return operators.OfType<BestQualityAnalyzer>().FirstOrDefault(); }
    }
    #endregion

    [Storable]
    private List<IOperator> operators;

    [StorableConstructor]
    private MetaOptimizationProblem(bool deserializing) : base(deserializing) { }
    public MetaOptimizationProblem()
      : base() {

      IParameterSetCreator creator = new RandomParameterSetCreator();
      MetaOptimizationEvaluator evaluator = new MetaOptimizationEvaluator();
      ParameterConfigurationList parametersToOptimize = new ParameterConfigurationList();

      Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the Traveling Salesman Problem is a minimization problem.", new BoolValue(false)));
      Parameters.Add(new ValueParameter<IntValue>("Repetitions", "Number of evaluations for one individual.", new IntValue(3)));
      Parameters.Add(new ValueParameter<IParameterSetCreator>("SolutionCreator", "The operator which should be used to create new TSP solutions.", creator));
      Parameters.Add(new ValueParameter<IMetaOptimizationEvaluator>("Evaluator", "The operator which should be used to evaluate TSP solutions.", evaluator));
      Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this TSP instance."));
      Parameters.Add(new OptionalValueParameter<ParameterSet>("BestKnownSolution", "The best known solution of this TSP instance."));

      Parameters.Add(new ValueParameter<IAlgorithm>("Algorithm", "The algorithm and problem which's parameters should be optimized."));
      Parameters.Add(new ValueParameter<ParameterConfigurationList>("ParametersToOptimize", "List of parameters that should be optimized.", parametersToOptimize));

      ParameterizeSolutionCreator();
      ParameterizeEvaluator();

      InitializeOperators();
      AttachEventHandlers();
    }

    #region Cloning
    public override IDeepCloneable Clone(Cloner cloner) {
      MetaOptimizationProblem clone = (MetaOptimizationProblem)base.Clone(cloner);
      clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
      // todo
      clone.AttachEventHandlers();
      return clone;
    }
    #endregion

    #region Helpers
    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserializationHook() {
      AttachEventHandlers();
    }
    private void AttachEventHandlers() {
      SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
      EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
      AlgorithmParameter.ValueChanged += new EventHandler(BaseLevelAlgorithmParameter_ValueChanged);
    }
    private void InitializeOperators() {
      operators = new List<IOperator>();
      operators.Add(new BestQualityAnalyzer());
      ParameterizeAnalyzer();
      operators.AddRange(ApplicationManager.Manager.GetInstances<IParameterSetOperator>().Cast<IOperator>());
      ParameterizeOperators();

      //UpdateMoveEvaluators();
      //InitializeMoveGenerators();
    }
    private void ParameterizeSolutionCreator() {
      SolutionCreator.ParametersToOptimize = this.ParametersToOptimize;
    }
    private void ParameterizeEvaluator() {
    }
    private void ParameterizeAnalyzer() {
      BestQualityAnalyzer.ResultsParameter.ActualName = "Results";
    }
    private void ParameterizeOperators() {
    }

    private void AddAlgorithmParameters() {
      foreach (IParameter parameter in Algorithm.Parameters) {
        this.ParametersToOptimize.Add(new NumericParameterConfiguration(parameter, "Algorithm"), false);
      }
    }
    private void RemoveAlgorithmParameters() {
      foreach (IParameter parameter in Algorithm.Parameters) {
        IParameterConfiguration parameterConfiguration = this.ParametersToOptimize.Single(p => p.Parameter == parameter);
        if (parameterConfiguration != null) {
          this.ParametersToOptimize.Remove(parameterConfiguration);
        }
      }
    }
    private void ClearAlgorithmParameters() {
      //this.ParametersToOptimize.Clear();
    }

    private void AddProblemParameters() {
      foreach (IParameter parameter in Algorithm.Problem.Parameters) {
        this.ParametersToOptimize.Add(new NumericParameterConfiguration(parameter, "Problem"), false);
      }
    }
    private void RemoveProblemParameters() {
      foreach (IParameter parameter in Algorithm.Problem.Parameters) {
        IParameterConfiguration parameterConfiguration = this.ParametersToOptimize.Single(p => p.Parameter == parameter);
        if (parameterConfiguration != null) {
          this.ParametersToOptimize.Remove(parameterConfiguration);
        }
      }
    }
    private void ClearProblemParameters() {
      //this.ParametersToOptimize.Clear();
    }
    #endregion

    #region Events
    public event EventHandler SolutionCreatorChanged;
    private void OnSolutionCreatorChanged() {
      EventHandler handler = SolutionCreatorChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }
    public event EventHandler EvaluatorChanged;
    private void OnEvaluatorChanged() {
      EventHandler handler = EvaluatorChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }
    public event EventHandler OperatorsChanged;
    private void OnOperatorsChanged() {
      EventHandler handler = OperatorsChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }
    public event EventHandler Reset;
    private void OnReset() {
      EventHandler handler = Reset;
      if (handler != null) handler(this, EventArgs.Empty);
    }

    private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
      ParameterizeSolutionCreator();
      ParameterizeEvaluator();
      ParameterizeAnalyzer();
      ParameterizeOperators();
      OnSolutionCreatorChanged();
    }
    private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
      Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
      ParameterizeEvaluator();
      ParameterizeAnalyzer();
      OnEvaluatorChanged();
    }
    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
      ParameterizeAnalyzer();
    }
    void BaseLevelAlgorithmParameter_ValueChanged(object sender, EventArgs e) {
      ClearAlgorithmParameters();
      if (Algorithm != null) {
        Algorithm.ProblemChanged += new EventHandler(BaseLevelAlgorithm_ProblemChanged);
        AddAlgorithmParameters(); // TODO: When to Detach?
      }
      BaseLevelAlgorithm_ProblemChanged(sender, e);
    }

    void BaseLevelAlgorithm_ProblemChanged(object sender, EventArgs e) {
      ClearProblemParameters();
      if (Algorithm.Problem != null) {
        AddProblemParameters();
      }
    }
    #endregion
  }
}