#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.Collections.Generic;
using System.Linq;
using HeuristicLab.Analysis;
using HeuristicLab.Core.Views;
using HeuristicLab.MainForm;
using RegressionType = HeuristicLab.Analysis.ScatterPlotDataRowVisualProperties.ScatterPlotDataRowRegressionType;

namespace HeuristicLab.DataPreprocessing.Views {

  [View("Scatter Plot Single View")]
  [Content(typeof(SingleScatterPlotContent), true)]
  public partial class ScatterPlotSingleView : ItemView {

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

    public ScatterPlotSingleView() {
      InitializeComponent();

      regressionTypeComboBox.DataSource = Enum.GetValues(typeof(RegressionType));
      regressionTypeComboBox.SelectedItem = RegressionType.None;
    }

    public void InitData() {
      IEnumerable<string> variables = Content.PreprocessingData.GetDoubleVariableNames();

      // add variables to combo boxes
      comboBoxXVariable.Items.Clear();
      comboBoxYVariable.Items.Clear();
      comboBoxGroup.Items.Clear();
      comboBoxXVariable.Items.AddRange(variables.ToArray());
      comboBoxYVariable.Items.AddRange(variables.ToArray());
      comboBoxGroup.Items.Add("-");
      for (int i = 0; i < Content.PreprocessingData.Columns; ++i) {
        if (Content.PreprocessingData.VariableHasType<double>(i)) {
          double distinctValueCount = Content.PreprocessingData.GetValues<double>(i).GroupBy(x => x).Count();
          if (distinctValueCount <= 20)
            comboBoxGroup.Items.Add(Content.PreprocessingData.GetVariableName(i));
        }
      }

      // use x and y variable from content
      if (Content.SelectedXVariable != null && Content.SelectedYVariable != null && Content.SelectedGroupVariable != null) {
        comboBoxXVariable.SelectedItem = Content.SelectedXVariable;
        comboBoxYVariable.SelectedItem = Content.SelectedYVariable;
        comboBoxGroup.SelectedItem = Content.SelectedGroupVariable;
      } else {
        if (variables.Count() >= 2) {
          comboBoxXVariable.SelectedIndex = 0;
          comboBoxYVariable.SelectedIndex = 1;
          comboBoxGroup.SelectedIndex = 0;
          UpdateScatterPlot();
        }
      }
    }

    protected override void OnContentChanged() {
      base.OnContentChanged();
      if (Content != null) {
        InitData();
      }
    }

    private void UpdateScatterPlot() {
      if (comboBoxXVariable.SelectedItem != null && comboBoxYVariable.SelectedItem != null && comboBoxGroup.SelectedItem != null) {
        var xVariable = (string)comboBoxXVariable.SelectedItem;
        var yVariable = (string)comboBoxYVariable.SelectedItem;
        var groupVariable = (string)comboBoxGroup.SelectedItem;
        ScatterPlot scatterPlot = Content.CreateScatterPlot(xVariable, yVariable, groupVariable);
        var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
        int order = (int)polynomialRegressionOrderNumericUpDown.Value;
        foreach (var row in scatterPlot.Rows) {
          row.VisualProperties.PointSize = 6;
          row.VisualProperties.IsRegressionVisibleInLegend = false;
          row.VisualProperties.RegressionType = regressionType;
          row.VisualProperties.PolynomialRegressionOrder = order;
        }
        var vp = scatterPlot.VisualProperties;
        vp.Title = string.Empty;
        vp.XAxisTitle = xVariable;
        vp.YAxisTitle = yVariable;

        scatterPlotControl.Content = scatterPlot;

        //save selected x and y variable in content
        this.Content.SelectedXVariable = (string)comboBoxXVariable.SelectedItem;
        this.Content.SelectedYVariable = (string)comboBoxYVariable.SelectedItem;
        this.Content.SelectedGroupVariable = (string)comboBoxGroup.SelectedItem;
      }
    }

    private void comboBoxXVariable_SelectedIndexChanged(object sender, EventArgs e) {
      var oldPlot = scatterPlotControl.Content;
      UpdateScatterPlot();
      var newPlot = scatterPlotControl.Content;


      if (oldPlot == null || newPlot == null) return;
      newPlot.VisualProperties.YAxisMinimumAuto = oldPlot.VisualProperties.YAxisMinimumAuto;
      newPlot.VisualProperties.YAxisMaximumAuto = oldPlot.VisualProperties.YAxisMaximumAuto;
      newPlot.VisualProperties.YAxisMinimumFixedValue = oldPlot.VisualProperties.YAxisMinimumFixedValue;
      newPlot.VisualProperties.YAxisMaximumFixedValue = oldPlot.VisualProperties.YAxisMaximumFixedValue;

      foreach (var x in newPlot.Rows.Zip(oldPlot.Rows, (nr, or) => new { nr, or })) {
        var newVisuapProperties = (ScatterPlotDataRowVisualProperties)x.or.VisualProperties.Clone();
        newVisuapProperties.DisplayName = x.nr.VisualProperties.DisplayName;
        x.nr.VisualProperties = newVisuapProperties;
      }
    }

    private void comboBoxYVariable_SelectedIndexChanged(object sender, EventArgs e) {
      var oldPlot = scatterPlotControl.Content;
      UpdateScatterPlot();
      var newPlot = scatterPlotControl.Content;

      if (oldPlot == null || newPlot == null) return;
      newPlot.VisualProperties.XAxisMinimumAuto = oldPlot.VisualProperties.XAxisMinimumAuto;
      newPlot.VisualProperties.XAxisMaximumAuto = oldPlot.VisualProperties.XAxisMaximumAuto;
      newPlot.VisualProperties.XAxisMinimumFixedValue = oldPlot.VisualProperties.XAxisMinimumFixedValue;
      newPlot.VisualProperties.XAxisMaximumFixedValue = oldPlot.VisualProperties.XAxisMaximumFixedValue;

      foreach (var x in newPlot.Rows.Zip(oldPlot.Rows, (nr, or) => new { nr, or })) {
        var newVisuapProperties = (ScatterPlotDataRowVisualProperties)x.or.VisualProperties.Clone();
        newVisuapProperties.DisplayName = x.nr.VisualProperties.DisplayName;
        x.nr.VisualProperties = newVisuapProperties;
      }
    }

    private void comboBoxGroup_SelectedIndexChanged(object sender, EventArgs e) {
      UpdateScatterPlot();
    }

    #region Regression Line
    private void regressionTypeComboBox_SelectedIndexChanged(object sender, EventArgs e) {
      var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
      polynomialRegressionOrderNumericUpDown.Enabled = regressionType == RegressionType.Polynomial;
      UpdateRegressionLine();
    }

    private void polynomialRegressionOrderNumericUpDown_ValueChanged(object sender, EventArgs e) {
      UpdateRegressionLine();
    }

    private void UpdateRegressionLine() {
      var regressionType = (RegressionType)regressionTypeComboBox.SelectedValue;
      int order = (int)polynomialRegressionOrderNumericUpDown.Value;

      foreach (var row in scatterPlotControl.Content.Rows) {
        row.VisualProperties.IsRegressionVisibleInLegend = false;
        row.VisualProperties.RegressionType = regressionType;
        row.VisualProperties.PolynomialRegressionOrder = order;
      }
    }
    #endregion
  }
}