#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.Collections.Generic;
using System.Linq;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.EvolutionaryTracking {
  [Item("Symbol graph", "A graph used to store the relationship between symbols in a population of individuals")]
  [StorableClass]
  public class FPGraph : GenericGraph<SymbolNode> {
    [Storable]
    public Dictionary<int, List<SymbolNode>> Levels { get { return levels; } }
    private Dictionary<int, List<SymbolNode>> levels = new Dictionary<int, List<SymbolNode>>();

    public void AddNode(SymbolNode node, int level) {
      if (levels.ContainsKey(level)) {
        SymbolNode match = levels[level].Find(n => n.Label.Equals(node.Label));
        if (match == null) {
          levels[level].Add(node);
        }
      } else {
        levels[level] = new List<SymbolNode> { node };
      }
      base.AddNode(node);
    }

    public bool ContainsKey(string key, int level) {
      return levels.ContainsKey(level) && levels[level].Select(n => n.Label).Contains(key);
    }

    public SymbolNode GetNode(string key, int level) {
      SymbolNode node = null;
      if (levels.ContainsKey(level))
        node = levels[level].Find(n => n.Label.Equals(key));
      return node;
    }

    void AddArc(SymbolNode source, SymbolNode target, double weight, object data = null) {
      source.AddForwardArc(target, weight, data);
    }
  }
}