#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.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.ParameterConfigurationEncoding {
  [StorableClass]
  public class RangeValueConfiguration : ValueConfiguration {
    [Storable]
    protected IRange rangeConstraint;
    public IRange RangeConstraint {
      get { return rangeConstraint; }
      private set {
        if (rangeConstraint != value) {
          DeregisterRangeConstraintEvents();
          rangeConstraint = value;
          RegisterRangeConstraintEvents();
        }
      }
    }

    #region Constructor and Cloning
    [StorableConstructor]
    protected RangeValueConfiguration(bool deserializing) : base(deserializing) { }
    public RangeValueConfiguration() {

    }
    protected RangeValueConfiguration(RangeValueConfiguration original, Cloner cloner)
      : base(original, cloner) {
      this.rangeConstraint = cloner.Clone(original.RangeConstraint);
      RegisterRangeConstraintEvents();
    }
    public RangeValueConfiguration(IItem value, Type valueDataType)
      : base(value, valueDataType) {
      if (actualValue.ValueDataType == typeof(IntValue)) {
        RangeConstraint = new IntValueRange(new IntValue(0), (IntValue)value.Clone(), new IntValue(1));
      } else if (actualValue.ValueDataType == typeof(DoubleValue)) {
        RangeConstraint = new DoubleValueRange(new DoubleValue(0), (DoubleValue)value.Clone(), new DoubleValue(0.01));
      } else if (actualValue.ValueDataType == typeof(PercentValue)) {
        RangeConstraint = new PercentValueRange(new PercentValue(0), new PercentValue(1), new PercentValue(0.01));
      } else if (actualValue.ValueDataType == typeof(BoolValue)) {
        this.IsOptimizable = false; // there is nothing to configure for bools
      } else {
        RangeConstraint = null;
      }
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new RangeValueConfiguration(this, cloner);
    }
    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      RegisterRangeConstraintEvents();
    }
    #endregion

    private void RegisterRangeConstraintEvents() {
      if (this.RangeConstraint != null) this.RangeConstraint.ToStringChanged += new EventHandler(RangeConstraint_ToStringChanged);
    }
    private void DeregisterRangeConstraintEvents() {
      if (this.RangeConstraint != null) this.RangeConstraint.ToStringChanged -= new EventHandler(RangeConstraint_ToStringChanged);
    }

    public override string ToString() {
      if (ActualValue != null && ActualValue.Value != null) {
        if (Optimize) {
          return string.Format("{0} (Optimize: {1})", NumberedName, RangeConstraint);
        } else {
          return string.Format("{0}: {1}", NumberedName, ActualValue.Value);
        }
      } else {
        return base.ToString();
      }
    }

    public override void Randomize(IRandom random) {
      this.actualValue.Value = rangeConstraint.GetRandomValue(random);
    }

    public override double CalculateSimilarity(IOptimizable optimizable) {
      var other = (IValueConfiguration)optimizable;
      return this.RangeConstraint.CalculateSimilarity(this.ActualValue.Value, other.ActualValue.Value);
    }

    public override string ParameterInfoString {
      get { return string.Empty; }
    }

    public override void CollectOptimizedParameterNames(List<string> parameterNames, string prefix) { }

    public override List<IOptimizable> GetAllOptimizables() {
      return new List<IOptimizable>();
    }

    #region Events
    private void RangeConstraint_ToStringChanged(object sender, EventArgs e) {
      OnToStringChanged();
    }
    #endregion
  }
}