#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2015 Joseph Helm and 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.Text;
using HeuristicLab.Collections;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.BinPacking;

namespace HeuristicLab.Encodings.PackingEncoding.MultiComponentVector {
  [Item("Multi Component Vector Encoding", "Represents an encoding for a bin packing problem using an array of objects containing multiple packing-informations for every packing-item.")]
  [StorableClass]
  public class MultiComponentVectorEncoding : Item, IPackingSolutionEncoding {

    [Storable]
    public ObservableDictionary<int, ItemList<PackingInformation>> PackingInformations { get; set; }

    public int NrOfBins { get { return PackingInformations.Count; } }
    public int NrOfItems {
      get {
        int nrOfItems = 0;
        foreach (var entry in PackingInformations) { nrOfItems += entry.Value.Count; }
        return nrOfItems;
      }
    }

    [StorableConstructor]
    protected MultiComponentVectorEncoding(bool deserializing) : base(deserializing) { }
    protected MultiComponentVectorEncoding(MultiComponentVectorEncoding original, Cloner cloner)
      : base(original, cloner) {
      this.PackingInformations = new ObservableDictionary<int, ItemList<PackingInformation>>();
      foreach (var entry in original.PackingInformations) {
        this.PackingInformations[entry.Key] = cloner.Clone(entry.Value);
      }
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new MultiComponentVectorEncoding(this, cloner);
    }

    public MultiComponentVectorEncoding()
      : base() {
      PackingInformations = new ObservableDictionary<int, ItemList<PackingInformation>>();
    }

    public List<List<int>> GenerateSequenceMatrix() {
      List<List<int>> result = new List<List<int>>();
      foreach (var bi in PackingInformations) {
        var temp = new List<int>();
        foreach (var piEntry in bi.Value) {
          temp.Add(piEntry.ItemID);
        }
        result.Add(temp);
      }
      return result;
    }
    public Dictionary<int, bool> GenerateRotationArray() {
      Dictionary<int, bool> result = new Dictionary<int, bool>();
      foreach (var bi in PackingInformations)
        foreach (var pi in bi.Value)
          result[pi.ItemID] = pi.Rotated;
      return result;
    }



    public override string ToString() {
      StringBuilder sb = new StringBuilder();
      sb.Append("[ ");
      foreach (var gi in PackingInformations) {
        sb.Append("g#" + gi.Key.ToString() + "{ ");
        foreach (var pi in gi.Value) {
          sb.Append(pi.ToString() + " ");
        }
        sb.Append("} ");
      }
      sb.Append("]");
      return sb.ToString();
    }


    public override bool Equals(object obj) {
      MultiComponentVectorEncoding mce = obj as MultiComponentVectorEncoding;
      if (mce != null && mce.PackingInformations != null && mce.PackingInformations.Count == this.PackingInformations.Count) {
        for (int i = 0; i < mce.PackingInformations.Count; i++) {
          if (mce.PackingInformations[i] != this.PackingInformations[i])
            return false;
        }
      }

      return true;
    }
    public override int GetHashCode() {
      return PackingInformations.GetHashCode();
    }

  }

  [Item("Packing Information", "Represents a composition of packing informations for the multi-component packing-encoding.")]
  [StorableClass]
  public class PackingInformation : Item {
    [Storable]
    public int ItemID { get; set; }
    [Storable]
    public bool Rotated { get; set; }

    public PackingInformation(int itemID, bool rotated) {
      this.ItemID = itemID;
      this.Rotated = rotated;
    }
    public PackingInformation(PackingInformation original) {
      this.ItemID = original.ItemID;
      this.Rotated = original.Rotated;
    }

    [StorableConstructor]
    protected PackingInformation(bool deserializing) : base(deserializing) { }
    protected PackingInformation(PackingInformation original, Cloner cloner)
      : base(original, cloner) {
      this.ItemID = original.ItemID;
      this.Rotated = original.Rotated;
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new PackingInformation(this, cloner);
    }

    public override string ToString() {
      return String.Format("{0}", ItemID.ToString());
      //return String.Format("({0}, {1}) ", ItemID, Rotated ? "t" : "f");
    }

    public override bool Equals(object obj) {
      PackingInformation pi = obj as PackingInformation;
      if (pi != null)
        return this.ItemID.Equals(pi.ItemID) && this.Rotated.Equals(pi.Rotated);

      return false;
    }

    public override int GetHashCode() {
      return base.GetHashCode();
    }

    public static ObservableDictionary<int, ItemList<PackingInformation>> CreateDictionaryRandomly(int items, int nrOfBins, IRandom random) {
      var result = new ObservableDictionary<int, ItemList<PackingInformation>>();
      for (int i = 0; i < nrOfBins; i++)
        result[i] = new ItemList<PackingInformation>();

      Permutation randomItemSequence = new Permutation(PermutationTypes.Absolute, items, random);
      foreach (int i in randomItemSequence) {
        result[random.Next(nrOfBins)].Add(new PackingInformation(i, random.Next(100) > 60 ? true : false));
      }
      return result;
    }

    public static ObservableDictionary<int, ItemList<PackingInformation>> CreateDictionaryRandomlyWithSortedSequence(int items, int nrOfBins, IRandom random) {
      var result = new ObservableDictionary<int, ItemList<PackingInformation>>();
      for (int i = 0; i < nrOfBins; i++)
        result[i] = new ItemList<PackingInformation>();

      for (int i = 0; i < items; i++) {
        result[random.Next(nrOfBins)].Add(new PackingInformation(i, false));
      }
      return result;
    }
  }

}