#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.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Optimization.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.PluginInfrastructure;
using HeuristicLab.Random;

namespace HeuristicLab.Analysis.FitnessLandscape {
  [Item("Local Analysis", "A local analysis algorithm.")]
  [Creatable("Algorithms")]
  [StorableClass]
  public sealed class LocalAnalysis : HeuristicOptimizationEngineAlgorithm, IStorableContent {
    public string Filename { get; set; }

    #region Problem Properties
    public override Type ProblemType {
      get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
    }
    public new ISingleObjectiveHeuristicOptimizationProblem Problem {
      get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
      set { base.Problem = value; }
    }
    #endregion

    #region Parameter Properties
    private ValueParameter<IntValue> SeedParameter {
      get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
    }
    private ValueParameter<BoolValue> SetSeedRandomlyParameter {
      get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
    }
    public IConstrainedValueParameter<IManipulator> MutatorParameter {
      get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
    }
    public IConstrainedValueParameter<ISelector> SelectorParameter {
      get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
    }
    private ValueParameter<IntValue> MaximumIterationsParameter {
      get { return (ValueParameter<IntValue>)Parameters["MaximumIterations"]; }
    }
    private ValueParameter<IntValue> SampleSizeParameter {
      get { return (ValueParameter<IntValue>)Parameters["SampleSize"]; }
    }
    private ValueParameter<MultiAnalyzer> AnalyzerParameter {
      get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
    }
    #endregion

    #region Properties
    private RandomCreator RandomCreator {
      get { return (RandomCreator)OperatorGraph.InitialOperator; }
    }
    private SolutionsCreator SolutionsCreator {
      get { return (SolutionsCreator)RandomCreator.Successor; }
    }
    private LocalAnalysisMainLoop MainLoop {
      get { return (LocalAnalysisMainLoop)SolutionsCreator.Successor; }
    }
    [Storable]
    private BestAverageWorstQualityAnalyzer qualityAnalyzer;
    [Storable]
    private QualityTrailMultiAnalyzer qualityTrailAnalyzer;
    #endregion

    [StorableConstructor]
    private LocalAnalysis(bool deserializing) : base(deserializing) { }
    private LocalAnalysis(LocalAnalysis original, Cloner cloner)
      : base(original, cloner) {
      qualityAnalyzer = (BestAverageWorstQualityAnalyzer)cloner.Clone(original.qualityAnalyzer);
      qualityTrailAnalyzer = (QualityTrailMultiAnalyzer)cloner.Clone(original.qualityTrailAnalyzer);
      Initialize();
    }
    public LocalAnalysis()
      : base() {
      Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
      Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
      Parameters.Add(new ConstrainedValueParameter<IManipulator>("Mutator", "Mutation operator."));
      Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "Selection operator."));
      Parameters.Add(new ValueParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(10000)));
      Parameters.Add(new ValueParameter<IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(1)));
      Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the solution and moves.", new MultiAnalyzer()));

      RandomCreator randomCreator = new RandomCreator();
      SolutionsCreator solutionsCreator = new SolutionsCreator();
      LocalAnalysisMainLoop laMainLoop = new LocalAnalysisMainLoop();
      OperatorGraph.InitialOperator = randomCreator;

      randomCreator.RandomParameter.ActualName = "Random";
      randomCreator.SeedParameter.ActualName = SeedParameter.Name;
      randomCreator.SeedParameter.Value = null;
      randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
      randomCreator.SetSeedRandomlyParameter.Value = null;
      randomCreator.Successor = solutionsCreator;

      solutionsCreator.NumberOfSolutions = new IntValue(1);
      solutionsCreator.Successor = laMainLoop;

      laMainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
      laMainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
      laMainLoop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
      laMainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
      laMainLoop.ResultsParameter.ActualName = "Results";
      laMainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;

      qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
      qualityTrailAnalyzer = new QualityTrailMultiAnalyzer();
      ParameterizeAnalyzers();
      UpdateAnalyzers();

      Initialize();
    }

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

    public override void Prepare() {
      if (Problem != null)
        base.Prepare();
    }

    #region Events
    protected override void OnProblemChanged() {
      ParameterizeStochasticOperator(Problem.SolutionCreator);
      ParameterizeStochasticOperator(Problem.Evaluator);
      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
      ParameterizeSolutionsCreator();
      ParameterizeMainLoop();
      UpdateMutators();
      UpdateSelectors();
      UpdateAnalyzers();
      ParameterizeSelector();
      ParameterizeAnalyzers();
      ParameterizeIterationBasedOperators();
      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
      base.OnProblemChanged();
    }
    protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
      ParameterizeStochasticOperator(Problem.SolutionCreator);
      ParameterizeSolutionsCreator();
      base.Problem_SolutionCreatorChanged(sender, e);
    }
    protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
      ParameterizeStochasticOperator(Problem.Evaluator);
      ParameterizeSolutionsCreator();
      ParameterizeMainLoop();
      ParameterizeSelector();
      ParameterizeAnalyzers();
      Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
      base.Problem_EvaluatorChanged(sender, e);
    }
    protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
      foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
      UpdateMutators();
      UpdateSelectors();
      UpdateAnalyzers();
      ParameterizeMainLoop();
      ParameterizeSelector();
      ParameterizeAnalyzers();
      ParameterizeIterationBasedOperators();
      base.Problem_OperatorsChanged(sender, e);
    }
    private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
      ParameterizeMainLoop();
      ParameterizeSelector();
    }
    private void MutatorParameter_ValueChanged(object sender, EventArgs e) {
      ParameterizeMainLoop();
      ParameterizeSelector();
      ParameterizeAnalyzers();
    }
    #endregion

    #region Helpers
    [StorableHook(HookType.AfterDeserialization)]
    private void Initialize() {
      if (Problem != null) {
        Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
      }
      MutatorParameter.ValueChanged += MutatorParameter_ValueChanged;
    }
    private void UpdateSelectors() {
      SelectorParameter.ValidValues.Clear();
      foreach (var s in ApplicationManager.Manager.GetInstances<ISelector>())
        SelectorParameter.ValidValues.Add(s);
    }
    private void UpdateMutators() {
      MutatorParameter.ValidValues.Clear();
      foreach (var m in Problem.Operators.OfType<IManipulator>()) {
        MutatorParameter.ValidValues.Add(m);
      }
    }
    private void UpdateAnalyzers() {
      AnalyzerParameter.Value.Operators.Clear();
      if (Problem != null) {
        foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
          foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
            param.Depth = 0;
          AnalyzerParameter.Value.Operators.Add(analyzer);
        }
      }
      AnalyzerParameter.Value.Operators.Add(qualityAnalyzer);
      AnalyzerParameter.Value.Operators.Add(qualityTrailAnalyzer);
    }
    private void ParameterizeSolutionsCreator() {
      SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
      SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
    }
    private void ParameterizeMainLoop() {
      MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
      MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
      MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
    }
    private void ParameterizeStochasticOperator(IOperator op) {
      if (op is IStochasticOperator)
        ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
    }
    private void ParameterizeSelector() {
      if (Problem != null) {
        foreach (var op in SelectorParameter.ValidValues) {
          op.NumberOfSelectedSubScopesParameter.Value = new IntValue(1);
          op.CopySelected = new BoolValue(false);
          ISingleObjectiveSelector sos = op as ISingleObjectiveSelector;
          if (sos != null) {
            sos.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
            sos.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
          }
          IStochasticOperator so = op as IStochasticOperator;
          if (so != null) {
            so.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
          }
        }
      }
    }
    private void ParameterizeAnalyzers() {
      qualityAnalyzer.ResultsParameter.ActualName = "Results";
      if (Problem != null) {
        qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
        qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
      }
    }
    private void ParameterizeIterationBasedOperators() {
      if (Problem != null) {
        foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
          op.IterationsParameter.ActualName = "Iterations";
          op.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
        }
      }
    }
    #endregion
  }
}