#region License Information
/* HeuristicLab
 * Copyright (C) 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 HEAL.Attic;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Problems.DataAnalysis;

namespace HeuristicLab.Algorithms.DataAnalysis {


  [Item("RBF model (3d)", "Radial-basis-function model (wrapper for alglib.rbfmodel)")]
  [StorableType("74CE499A-884C-4280-B6BB-DF402692F40D")]
  public sealed class AlglibRbfModel : RegressionModel {
    // not storable! see persistence properties below
    private alglib.rbfmodel model;

    [Storable]
    private string x1;
    [Storable]
    private string x2;
    [Storable]
    private string x3;
    public override IEnumerable<string> VariablesUsedForPrediction => new[] { x1, x2, x3 };

    [StorableConstructor]
    private AlglibRbfModel(StorableConstructorFlag deserializing) : base(deserializing) {
      this.model = new alglib.rbfmodel();
    }

    private AlglibRbfModel(AlglibRbfModel orig, Cloner cloner) : base(orig, cloner) {
      this.x1 = orig.x1;
      this.x2 = orig.x2;
      this.x3 = orig.x3;
      this.model = (alglib.rbfmodel)orig.model.make_copy();
    }
    public AlglibRbfModel(alglib.rbfmodel model, string y, string x1, string x2, string x3)
      : base(y, $"Spline model ({x1}, {x2}, {x3})") {
      this.model = (alglib.rbfmodel)model.make_copy();
      this.x1 = x1;
      this.x2 = x2;
      this.x3 = x3;
    }


    public override IDeepCloneable Clone(Cloner cloner) => new AlglibRbfModel(this, cloner);

    public override IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
      var solution = new RegressionSolution(this, (IRegressionProblemData)problemData.Clone());
      solution.Name = $"Alglib RBF model ({x1},{x2},{x3})";

      return solution;
    }


    public override IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
      var x1 = dataset.GetDoubleValues(this.x1, rows).ToArray();
      var x2 = dataset.GetDoubleValues(this.x2, rows).ToArray();
      var x3 = dataset.GetDoubleValues(this.x3, rows).ToArray();
      var res = new double[x1.Length];
      for (int i = 0; i < x1.Length; i++) {
        res[i] = alglib.rbfcalc3(model, x1[i], x2[i], x3[i]);
      }
      return res;
    }

    #region persistence
    [Storable]
    public string SerializedInterpolant {
      get {
        alglib.rbfserialize(model, out var serialized);
        return serialized;
      }
      set {
        alglib.rbfunserialize(value, out var obj);
        model = obj;
      }
    }
    #endregion
  }
}