#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2016 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.Windows.Forms;
using HeuristicLab.MainForm;
using HeuristicLab.Optimization.Views;
using HeuristicLab.Data;
using System.Linq;

namespace HeuristicLab.Problems.PermutationProblems.Views {
  [View("Permutation Flowshop Scheduling Problem View")]
  [Content(typeof(PermutationFlowshopSchedulingProblem), true)]
  public partial class JobShopSchedulingProblemView : ProblemView {

    public new PermutationFlowshopSchedulingProblem Content
    {
      get { return (PermutationFlowshopSchedulingProblem)base.Content; }
      set { base.Content = value; }
    }

    public JobShopSchedulingProblemView() {
      InitializeComponent();
      Controls.Remove(parameterCollectionView);
      parameterCollectionView.Dock = DockStyle.Fill;
      problemTabPage.Controls.Add(parameterCollectionView);
    }

    protected override void OnContentChanged() {
      base.OnContentChanged();
      FillGanttChart();
    }

    protected override void DeregisterContentEvents() {
      Content.BestKnownSolutionChanged -= Content_PermutationChanged;
      base.DeregisterContentEvents();
    }
    protected override void RegisterContentEvents() {
      base.RegisterContentEvents();
      Content.BestKnownSolutionChanged += new EventHandler(Content_PermutationChanged);
    }

    private void Content_PermutationChanged(object sender, EventArgs e) {
      if (InvokeRequired) {
        Invoke(new EventHandler(Content_PermutationChanged), sender, e);
      } else {
        FillGanttChart();
      }
    }

    private void FillGanttChart() {
      ganttChart.Reset();
      if (Content != null) {
        var matrix = Content.JobMatrix;
        var perm = Content.BestKnownSolution;
        if (matrix == null) { return; }

        if (perm == null) {
          perm = new Encodings.PermutationEncoding.Permutation(Encodings.PermutationEncoding.PermutationTypes.Absolute, Enumerable.Range(0, matrix.Columns).ToArray());
        }

        int[] permutation = perm.ToArray();

        if (!permutation.Contains(0)) { permutation = permutation.Select(v => v - 1).ToArray(); }
        DoubleMatrix calculatedTime = new DoubleMatrix(matrix.Rows, matrix.Columns);

        for (var machineIdx = 0; machineIdx < matrix.Rows; machineIdx++) {
          for (var jobIdx = 0; jobIdx < matrix.Columns; jobIdx++) {
            double runtimeCur = matrix[machineIdx, permutation[jobIdx]];
            double runtimePrev = 0;

            if (jobIdx == 0 && machineIdx == 0) { } else if (machineIdx == 0) { runtimePrev = calculatedTime[machineIdx, jobIdx - 1]; } else if (jobIdx == 0) { runtimePrev = calculatedTime[machineIdx - 1, jobIdx]; } else {
              double runtimePrevMachine = calculatedTime[machineIdx - 1, jobIdx];
              double runtimePrevJobOnThisMachine = calculatedTime[machineIdx, jobIdx - 1];
              runtimePrev = runtimePrevMachine > runtimePrevJobOnThisMachine ? runtimePrevMachine : runtimePrevJobOnThisMachine;
            }

            calculatedTime[machineIdx, jobIdx] = runtimeCur + runtimePrev;
            ganttChart.AddData("Machine " + machineIdx, permutation[jobIdx], jobIdx, runtimePrev, calculatedTime[machineIdx, jobIdx], "");
          }
        }
      }
    }
  }
}