source: branches/StatisticalTesting/HeuristicLab.Analysis.Statistics/3.3/ChartAnalysisView.cs @ 9377

#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;
using System.Collections.Generic;
using System.Linq;
using System.Windows.Forms;
using HeuristicLab.Common;
using HeuristicLab.Core.Views;
using HeuristicLab.Data;
using HeuristicLab.MainForm;
using HeuristicLab.Optimization;

namespace HeuristicLab.Analysis.Statistics {
  [View("RunCollection Chart Analysis View")]
  [Content(typeof(RunCollection), false)]
  public sealed partial class ChartAnalysisView : ItemView {
    public new RunCollection Content {
      get { return (RunCollection)base.Content; }
      set { base.Content = value; }
    }

    public override bool ReadOnly {
      get { return true; }
      set { /*not needed because results are always readonly */}
    }

    public ChartAnalysisView() {
      InitializeComponent();
      stringConvertibleMatrixView.DataGridView.RowHeaderMouseDoubleClick += new DataGridViewCellMouseEventHandler(DataGridView_RowHeaderMouseDoubleClick);
    }

    /// <summary>
    /// Clean up any resources being used.
    /// </summary>
    /// <param name="disposing">true if managed resources should be disposed; otherwise, false.</param>
    protected override void Dispose(bool disposing) {
      if (disposing && (components != null)) {
        stringConvertibleMatrixView.DataGridView.RowHeaderMouseDoubleClick -= new DataGridViewCellMouseEventHandler(DataGridView_RowHeaderMouseDoubleClick);
        components.Dispose();
      }
      base.Dispose(disposing);
    }

    #region Content Events
    protected override void OnContentChanged() {
      base.OnContentChanged();
      dataTableComboBox.Items.Clear();
      dataRowComboBox.Items.Clear();

      if (Content != null) {
        UpdateDataTableComboBox();
      }
    }

    protected override void RegisterContentEvents() {
      base.RegisterContentEvents();
      Content.ItemsAdded += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsAdded);
      Content.ItemsRemoved += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsRemoved);
      Content.CollectionReset += new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_CollectionReset);

      RegisterRunEvents(Content);
    }

    private void RegisterRunEvents(IEnumerable<IRun> runs) {
      foreach (IRun run in runs)
        run.Changed += new EventHandler(run_Changed);
    }

    protected override void DeregisterContentEvents() {
      base.DeregisterContentEvents();
      Content.ItemsAdded -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsAdded);
      Content.ItemsRemoved -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_ItemsRemoved);
      Content.CollectionReset -= new HeuristicLab.Collections.CollectionItemsChangedEventHandler<IRun>(Content_CollectionReset);

      DeregisterRunEvents(Content);
    }

    private void DeregisterRunEvents(IEnumerable<IRun> runs) {
      foreach (IRun run in runs)
        run.Changed -= new EventHandler(run_Changed);
    }

    private void Content_CollectionReset(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
      DeregisterRunEvents(e.OldItems);
      RegisterRunEvents(e.Items);
      RebuildCombinedDataTable();
    }

    private void Content_ItemsRemoved(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
      DeregisterRunEvents(e.Items);
      RebuildCombinedDataTable();
    }

    private void Content_ItemsAdded(object sender, HeuristicLab.Collections.CollectionItemsChangedEventArgs<IRun> e) {
      RegisterRunEvents(e.Items);
      RebuildCombinedDataTable();
    }

    private void run_Changed(object sender, EventArgs e) {
      if (InvokeRequired)
        this.Invoke(new EventHandler(run_Changed), sender, e);
      else {
        if (!Content.UpdateOfRunsInProgress) {
          IRun run = (IRun)sender;
          UpdateRun(run);
        }
      }
    }
    #endregion

    #region Events
    void DataGridView_RowHeaderMouseDoubleClick(object sender, DataGridViewCellMouseEventArgs e) {
      if (e.RowIndex >= 0) {
        IRun run = Content.ElementAt(stringConvertibleMatrixView.GetRowIndex(e.RowIndex));
        IContentView view = MainFormManager.MainForm.ShowContent(run);
        if (view != null) {
          view.ReadOnly = this.ReadOnly;
          view.Locked = this.Locked;
        }
      }
    }

    private void dataTableComboBox_SelectedIndexChanged(object sender, EventArgs e) {
      UpdateDataRowComboBox();
    }

    private void dataRowComboBox_SelectedIndexChanged(object sender, EventArgs e) {
      RebuildCombinedDataTable();
    }

    private void addLineToChart_Click(object sender, EventArgs e) {
      string resultName = (string)dataTableComboBox.SelectedItem;
      string rowName = (string)dataRowComboBox.SelectedItem;
      var runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible);

      foreach (Run run in runs) {
        DataTable resTable = (DataTable)run.Results[resultName];
        DataRow row = resTable.Rows[rowName];
        var values = row.Values.ToArray();
        double k, d;
        LinearLeastSquaresFitting.Calculate(values, out k, out d);

        DataRow newRow = new DataRow(row.Name + " Fitted Line");
        for (int i = 0; i < values.Count(); i++) {
          newRow.Values.Add(k * i + d);
        }

        if (!resTable.Rows.ContainsKey(newRow.Name))
          resTable.Rows.Add(newRow);
      }
    }

    private void addValuesButton_Click(object sender, EventArgs e) {
      string resultName = (string)dataTableComboBox.SelectedItem;
      string rowName = (string)dataRowComboBox.SelectedItem;
      var runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible);
      StringMatrix sm = (StringMatrix)stringConvertibleMatrixView.Content;

      Content.UpdateOfRunsInProgress = true;
      for (int i = 0; i < runs.Count(); i++) {
        IRun run = runs.ElementAt(i);

        for (int j = 0; j < sm.ColumnNames.Count(); j++) {
          string newResultName = resultName + " " + rowName + " " + sm.ColumnNames.ElementAt(j);
          if (!run.Results.ContainsKey(newResultName))
            run.Results.Add(new KeyValuePair<string, Core.IItem>(newResultName, new DoubleValue(double.Parse(sm[i, j]))));
        }
      }
      Content.UpdateOfRunsInProgress = false;
      //update column names of run collection
      Content.Modify();
    }
    #endregion

    private void UpdateRun(IRun run) {
      //TODO: hacky di hack... this is baaaadddd
      RebuildCombinedDataTable();
    }

    private void UpdateDataRowComboBox() {
      dataRowComboBox.Items.Clear();
      var resultName = (string)dataTableComboBox.SelectedItem;
      var dataTables = from run in Content
                       where run.Results.ContainsKey(resultName)
                       select run.Results[resultName] as DataTable;
      var rowNames = (from dataTable in dataTables
                      from row in dataTable.Rows
                      select row.Name).Distinct().ToArray();

      dataRowComboBox.Items.AddRange(rowNames);
      if (dataRowComboBox.Items.Count > 0) dataRowComboBox.SelectedItem = dataRowComboBox.Items[0];
    }

    private void UpdateDataTableComboBox() {
      dataTableComboBox.Items.Clear();
      var dataTables = (from run in Content
                        from result in run.Results
                        where result.Value is DataTable
                        select result.Key).Distinct().ToArray();

      dataTableComboBox.Items.AddRange(dataTables);
      if (dataTableComboBox.Items.Count > 0) dataTableComboBox.SelectedItem = dataTableComboBox.Items[0];
    }

    private void RebuildCombinedDataTable() {
      string resultName = (string)dataTableComboBox.SelectedItem;
      string rowName = (string)dataRowComboBox.SelectedItem;
      string[] columnNames = new string[] { "Count", "Minimum", "Maximum", "Average", "Median", "Standard Deviation", "Variance", "25th Percentile", "75th Percentile", "Gradient", "Relative Error", "Avg. of Upper 25 %", " Avg. of Lower 25 %", "Avg. of First 25 %", "Avg. of Last 25 %" };

      var runs = Content.Where(x => x.Results.ContainsKey(resultName) && x.Visible);

      StringMatrix dt = new StringMatrix(runs.Count(), columnNames.Count());
      dt.RowNames = runs.Select(x => x.Name);
      dt.ColumnNames = columnNames;

      int i = 0;
      foreach (Run run in runs) {
        DataTable resTable = (DataTable)run.Results[resultName];
        dt.SortableView = true;
        DataRow row = resTable.Rows[rowName];
        var values = row.Values.AsEnumerable();

        double cnt = values.Count();
        double min = values.Min();
        double max = values.Max();
        double avg = values.Average();
        double median = values.Median();
        double stdDev = values.StandardDeviation();
        double variance = values.Variance();
        double percentile25 = values.Percentile(0.25);
        double percentile75 = values.Percentile(0.75);
        double k, d, r;
        LinearLeastSquaresFitting.Calculate(values.ToArray(), out k, out d);
        r = LinearLeastSquaresFitting.CalculateError(values.ToArray(), k, d);
        double lowerAvg = values.OrderBy(x => x).Take((int)(values.Count() * 0.25)).Average();
        double upperAvg = values.OrderByDescending(x => x).Take((int)(values.Count() * 0.25)).Average();
        double firstAvg = values.Take((int)(values.Count() * 0.25)).Average();
        double lastAvg = values.Skip((int)(values.Count() * 0.75)).Average();

        dt[i, 0] = cnt.ToString();
        dt[i, 1] = min.ToString();
        dt[i, 2] = max.ToString();
        dt[i, 3] = avg.ToString();
        dt[i, 4] = median.ToString();
        dt[i, 5] = stdDev.ToString();
        dt[i, 6] = variance.ToString();
        dt[i, 7] = percentile25.ToString();
        dt[i, 8] = percentile75.ToString();
        dt[i, 9] = k.ToString();
        dt[i, 10] = r.ToString();
        dt[i, 11] = upperAvg.ToString();
        dt[i, 12] = lowerAvg.ToString();
        dt[i, 13] = firstAvg.ToString();
        dt[i, 14] = lastAvg.ToString();

        i++;
      }

      stringConvertibleMatrixView.Content = dt;
    }
  }
}