using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis;

namespace HeuristicLab.Problems.GeneticProgramming.GlucosePrediction {
  [StorableClass]
  [Item("Model", "")]
  public sealed class Model : NamedItem, IRegressionModel {
    private readonly IRegressionProblemData problemData;
    private readonly ISymbolicExpressionTree tree;

    private Model(Model original, Cloner cloner) {
      this.problemData = cloner.Clone(original.problemData);
      this.tree = cloner.Clone(original.tree);
    }

    public Model(IRegressionProblemData problemData, ISymbolicExpressionTree tree) {
      this.problemData = problemData;
      this.tree = tree;
    }

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

    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
      return Interpreter.Apply(tree.Root.GetSubtree(0).GetSubtree(0), problemData.Dataset, rows);
    }

    public IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
      return new Solution(this, problemData);
    }
  }
}