#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 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.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
using HeuristicLab.Problems.DataAnalysis;

namespace HeuristicLab.Problems.TradeRules
{
    [StorableClass]
    public abstract class TradeRulesAbstractProblem<T, U, V> : TradeAnalysisProblem<T, U, V>, ISingleObjectiveHeuristicOptimizationProblem
        where T : class,IDataAnalysisProblemData
        where U : class, ISymbolicDataAnalysisSingleObjectiveEvaluator<T>
        where V : class, ISymbolicDataAnalysisSolutionCreator
    {
        private const string MaximizationParameterName = "Maximization";
        private const string BestKnownQualityParameterName = "BestKnownQuality";

        #region parameter properties
        public IFixedValueParameter<BoolValue> MaximizationParameter
        {
            get { return (IFixedValueParameter<BoolValue>)Parameters[MaximizationParameterName]; }
        }
        IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter
        {
            get { return MaximizationParameter; }
        }
        public IFixedValueParameter<DoubleValue> BestKnownQualityParameter
        {
            get { return (IFixedValueParameter<DoubleValue>)Parameters[BestKnownQualityParameterName]; }
        }
        IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter
        {
            get { return BestKnownQualityParameter; }
        }
        #endregion

        #region properties
        public BoolValue Maximization
        {
            get { return MaximizationParameter.Value; }
        }
        public DoubleValue BestKnownQuality
        {
            get { return BestKnownQualityParameter.Value; }
        }
        ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator
        {
            get { return Evaluator; }
        }
        #endregion

        [StorableConstructor]
        protected TradeRulesAbstractProblem(bool deserializing) : base(deserializing) { }
        protected TradeRulesAbstractProblem(TradeRulesAbstractProblem<T, U, V> original, Cloner cloner)
            : base(original, cloner)
        {
            RegisterEventHandler();
            MaximizationParameter.Hidden = true;
        }

        public TradeRulesAbstractProblem(T problemData, U evaluator, V solutionCreator)
            : base(problemData, evaluator, solutionCreator)
        {
            Parameters.Add(new FixedValueParameter<BoolValue>(MaximizationParameterName, "Set to false if the problem should be minimized."));
            Parameters.Add(new FixedValueParameter<DoubleValue>(BestKnownQualityParameterName, "The quality of the best known solution of this problem."));

            MaximizationParameter.Hidden = true;
            InitializeOperators();
            RegisterEventHandler();
        }

        [StorableHook(HookType.AfterDeserialization)]
        private void AfterDeserialization()
        {
            RegisterEventHandler();
        }

        private void InitializeOperators()
        {
            Operators.Add(new SymbolicDataAnalysisAlleleFrequencyAnalyzer());
            ParameterizeOperators();
        }

        private void RegisterEventHandler()
        {
            Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
        }

        protected override void OnEvaluatorChanged()
        {
            base.OnEvaluatorChanged();
            Evaluator.QualityParameter.ActualNameChanged += new EventHandler(QualityParameter_ActualNameChanged);
            Maximization.Value = base.Evaluator.Maximization;
            ParameterizeOperators();
        }

        private void QualityParameter_ActualNameChanged(object sender, EventArgs e)
        {
            ParameterizeOperators();
        }

        protected override void ParameterizeOperators()
        {
            base.ParameterizeOperators();

            foreach (var op in Operators.OfType<ISymbolicDataAnalysisSingleObjectiveAnalyzer>())
            {
                op.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
                op.MaximizationParameter.ActualName = MaximizationParameterName;
            }
        }
    }
}