source: branches/HeuristicLab.Problems.GrammaticalOptimization/Evaluation/MainWindow.xaml.cs @ 12824

using System.Collections.ObjectModel;
using System.Security.AccessControl;
using System.Text;
using System.Threading;
using System.Windows.Documents;
using System.Xml.Serialization;
using Evaluation.ViewModel;
using HeuristicLab.Algorithms.Bandits;
using HeuristicLab.Algorithms.Bandits.BanditPolicies;
using HeuristicLab.Algorithms.GeneticProgramming;
using HeuristicLab.Algorithms.GrammaticalOptimization;
using HeuristicLab.Algorithms.MonteCarloTreeSearch;
using HeuristicLab.Algorithms.MonteCarloTreeSearch.Simulation;
using HeuristicLab.Problems.GrammaticalOptimization;
using Microsoft.Research.DynamicDataDisplay;
using Microsoft.Research.DynamicDataDisplay.DataSources;
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Diagnostics;
using System.IO;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Threading;
using Microsoft.Win32;
using WpfTestSvgSample;

namespace Evaluation
{
    /// <summary>
    /// Interaction logic for MainWindow.xaml
    /// </summary>
    public partial class MainWindow : Window
    {
        private EvaluationViewModel vm;

        private DrawingPage treeDrawingPage;

        public MainWindow()
        {
            InitializeComponent();
            CenterWindowOnScreen();
            this.DataContext = vm = new EvaluationViewModel();
            vm.MaxLen = 100;
            vm.MaxIterations = 1000000;
            vm.NrRuns = 10;
        }

        private void CenterWindowOnScreen()
        {
            double screenWidth = System.Windows.SystemParameters.PrimaryScreenWidth;
            double screenHeight = System.Windows.SystemParameters.PrimaryScreenHeight;
            double windowWidth = this.Width;
            double windowHeight = this.Height;
            this.Left = (screenWidth / 2) - (windowWidth / 2);
            this.Top = (screenHeight / 2) - (windowHeight / 2);
        }

        private void DrawQualityChart(Run run)
        {
            List<FoundSolution> solutions = new List<FoundSolution>(run.FoundSolutions);

            if (run.BestSolutionFoundAt < run.Evaluations)
            {
                solutions.Add(new FoundSolution(run.EndTime, run.Evaluations, run.BestQuality, run.BestSolution));
            }

            var ds = new EnumerableDataSource<FoundSolution>(solutions);


            ds.SetXMapping(x => x.Iteration);
            ds.SetYMapping(y => y.Quality);

            LineGraph graph = new LineGraph(ds);

            graph.StrokeThickness = 2;
            graph.AddToPlotter(QualityChartPlotter);
        }

        private void DrawSelectionChart(Run run)
        {
            List<SelectionIndicator> selectionIndicators = new List<SelectionIndicator>(run.SelectionIndicators);

            var ds = new EnumerableDataSource<SelectionIndicator>(selectionIndicators);

            ds.SetXMapping(x => x.TotalSelections);
            ds.SetYMapping(y => y.Indicator);

            LineGraph graph = new LineGraph(ds);

            graph.StrokeThickness = 2;
            graph.AddToPlotter(SelectionChartPlotter);
        }

        private void DrawTreeChart(Run run)
        {
            if (!string.IsNullOrEmpty(run.SvgFile))
            {
                treeDrawingPage.LoadDocument(run.SvgFile);
            }
        }

        private void DoRun(Object threadContext)
        {
            Run run = (Run)threadContext;
            run.RunState = RunState.Running;
            run.StartTime = DateTime.Now;

            run.Solver.Run(run.MaxIterations);

            run.EndTime = DateTime.Now;
            run.RunState = RunState.Analyzing;

            if (run.FoundSolutions.Count > 0)
            {
                if (run.Solver is MonteCarloTreeSearch)
                {
                    MonteCarloTreeSearch mctsSolver = (MonteCarloTreeSearch)run.Solver;

                    run.TreeInfos = mctsSolver.GetTreeInfos();

                    //byte[] output = mctsSolver.GenerateSvg();
                    //if (output != null && output.Length > 0)
                    //{
                    //    run.SvgFile = string.Format("MCTS_SVG_#{0}_{1}.svg", run.RunNumber, DateTime.Now.Ticks);
                    //    File.WriteAllBytes(run.SvgFile, mctsSolver.GenerateSvg());
                    //}
                }
            }
            run.RunState = RunState.Finished;
            lock (vm.CompletedRuns)
            {
                int completed = 0;
                foreach (Run r in vm.Runs)
                {
                    if (r.RunState == RunState.Finished)
                    {
                        completed++;
                    }
                }
                vm.CompletedRuns = string.Format("{0}/{1}", completed, vm.Runs.Count);
                if (completed == vm.NrRuns)
                {
                    Dispatcher.Invoke(AllRunsFinished);
                }
            }
        }

        private void AllRunsFinished()
        {
            ButtonRun.IsEnabled = true;
            TextBoxMaxIterations.IsEnabled = true;
            TextBoxMaxLen.IsEnabled = true;
            TextBoxRuns.IsEnabled = true;
        }

        private void StartRuns()
        {
            vm.CompletedRuns = string.Format("0/{0}", vm.NrRuns);

            Type algorithmType = vm.SelectedAlgorithm;

            ISymbolicExpressionTreeProblem problem = vm.SelectedProblem;

            Random random = new Random(DateTime.Now.Millisecond);

            Type policy = vm.SelectedPolicy;
            IBanditPolicy policyInstance = null;

            if (policy == typeof(UCTPolicy))
            {
                policyInstance = new UCTPolicy();
            }
            else if (policy == typeof(ThresholdAscentPolicy))
            {
                policyInstance = new ThresholdAscentPolicy();
            }
            else if (policy == typeof(BoltzmannExplorationPolicy))
            {
                policyInstance = new BoltzmannExplorationPolicy(2);
            }
            else
            {
                policyInstance = (IBanditPolicy)Activator.CreateInstance(policy);
            }

            for (int i = 0; i < vm.NrRuns; i++)
            {
                ISolver solver = null;

                if (algorithmType == typeof(MonteCarloTreeSearch_PruneLeaves))
                {
                    solver = new MonteCarloTreeSearch_PruneLeaves(problem, vm.MaxLen, random, policyInstance, new RandomSimulation(problem, random, vm.MaxLen));
                }
                else if (algorithmType == typeof(MonteCarloTreeSearch))
                {
                    solver = new MonteCarloTreeSearch(problem, vm.MaxLen, random, policyInstance, new RandomSimulation(problem, random, vm.MaxLen));
                }
                else if (algorithmType == typeof(SequentialSearch))
                {
                    solver = new SequentialSearch(problem, vm.MaxLen, random, 0,
                        new HeuristicLab.Algorithms.Bandits.GrammarPolicies.GenericGrammarPolicy(problem, policyInstance));
                }
                else if (algorithmType == typeof(RandomSearch))
                {
                    solver = new RandomSearch(problem, random, vm.MaxLen);
                }
                else if (algorithmType == typeof(StandardGP))
                {
                    solver = new StandardGP(problem, random);
                }
                else if (algorithmType == typeof(OffspringSelectionGP))
                {
                    solver = new OffspringSelectionGP(problem, random);
                }

                Run run = new Run(problem, policyInstance, solver, i + 1, vm.MaxIterations, vm.MaxLen);

                vm.Runs.Add(run);

                ThreadPool.QueueUserWorkItem(DoRun, run);
            }
        }

        private void ClearQualityChart()
        {
            QualityChartPlotter.Children.RemoveAll<LineGraph>();
        }

        private void ClearComparisonChart()
        {
            ComparisonChartPlotter.Children.RemoveAll<LineGraph>();
        }

        private void ClearSelectionChart()
        {
            SelectionChartPlotter.Children.RemoveAll<LineGraph>();
        }

        private void ButtonRun_OnClick(object sender, RoutedEventArgs e)
        {
            ClearQualityChart();
            ClearComparisonChart();
            ClearSelectionChart();

            vm.Runs.Clear();
            vm.SelectedRun = null;
            ButtonRun.IsEnabled = false;
            TextBoxMaxIterations.IsEnabled = false;
            TextBoxMaxLen.IsEnabled = false;
            TextBoxRuns.IsEnabled = false;
            StartRuns();
        }

        private void ButtonPause_OnClick(object sender, RoutedEventArgs e)
        {
            //if (vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch))
            //{
            //    MonteCarloTreeSearch mcts = (MonteCarloTreeSearch)solver;
            //    mcts.PauseContinue();
            //    if (mcts.IsPaused)
            //    {
            //        ButtonPause.Content = "Continue";
            //    }
            //    else
            //    {
            //        ButtonPause.Content = "Pause";
            //    }
            //}
        }

        private void ButtonStop_OnClick(object sender, RoutedEventArgs e)
        {
            //worker.CancelAsync();
        }

        private void ComboBoxAlgorithms_OnSelectionChanged(object sender, SelectionChangedEventArgs e)
        {
            if (vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch) || vm.SelectedAlgorithm == typeof(MonteCarloTreeSearch_PruneLeaves))
            {
                ComboBoxPolicies.IsEnabled = true;
                TabItemTree.IsEnabled = true;
            }
            else if (vm.SelectedAlgorithm == typeof(SequentialSearch))
            {
                ComboBoxPolicies.IsEnabled = true;
                TabItemTree.IsEnabled = false;
            }
            else
            {
                ComboBoxPolicies.IsEnabled = false;
                TabItemTree.IsEnabled = false;
            }
        }

        private void Window_Loaded(object sender, RoutedEventArgs e)
        {
            treeDrawingPage = treeDrawing.Content as DrawingPage;
        }

        private void ListBoxRuns_OnSelectionChanged(object sender, SelectionChangedEventArgs e)
        {
            if (vm.SelectedRun != null)
            {
                vm.SelectedRun.Solver.FoundNewBestSolution -= SelectedRun_FoundNewBestSolution;
            }
            if (ListBoxRuns.SelectedItem != null)
            {
                vm.SelectedRun = (Run)ListBoxRuns.SelectedItem;

                vm.SelectedRun.Solver.FoundNewBestSolution += SelectedRun_FoundNewBestSolution;

                ClearQualityChart();
                DrawQualityChart(vm.SelectedRun);

                if (vm.SelectedRun.RunState == RunState.Finished)
                {
                    ClearSelectionChart();
                    DrawSelectionChart(vm.SelectedRun);
                }
                //DrawTreeChart(vm.SelectedRun);
            }
            else
            {
                vm.SelectedRun = null;
            }
        }

        void SelectedRun_FoundNewBestSolution(string arg1, double arg2)
        {
            Dispatcher.BeginInvoke(new Action(() =>
            {
                ClearQualityChart();
                DrawQualityChart(vm.SelectedRun);
            }));
        }

        public void SaveToFile()
        {
            SaveFileDialog dlg = new SaveFileDialog();
            dlg.FileName = "runs"; // Default file name
            dlg.DefaultExt = ".xml"; // Default file extension

            // Show save file dialog box
            Nullable<bool> result = dlg.ShowDialog();

            // Process save file dialog box results
            if (result == true)
            {
                // Save document
                string filename = dlg.FileName;

                XmlSerializer serializer = new XmlSerializer(typeof(ObservableCollection<Run>));
                using (TextWriter writer = new StreamWriter(filename))
                {
                    serializer.Serialize(writer, vm.Runs);
                }
            }

        }

        public void LoadFromFile()
        {
            OpenFileDialog dlg = new OpenFileDialog();

            // Show save file dialog box
            Nullable<bool> result = dlg.ShowDialog();

            // Process save file dialog box results
            if (result == true)
            {
                // Load document
                string filename = dlg.FileName;

                XmlSerializer deserializer = new XmlSerializer(typeof(ObservableCollection<Run>));
                using (TextReader reader = new StreamReader(filename))
                {
                    object obj = deserializer.Deserialize(reader);
                    vm.Runs = (ObservableCollection<Run>)obj;

                }
            }
        }

        private void LoadButton_OnClick(object sender, RoutedEventArgs e)
        {
            LoadFromFile();
        }

        private void SaveButton_OnClick(object sender, RoutedEventArgs e)
        {
            SaveToFile();
        }

        private void MenuItemCopyToClipboard_OnClick(object sender, RoutedEventArgs e)
        {
            StringBuilder tableExport = new StringBuilder();
            tableExport.AppendLine(
                "Run\tMaxIterations\tEvaluations\tBestKnownQuality\tQuality\tQuality %\tFoundAt\tTotalTime\tSolutionTime\tEvaluationsPerSecond\tSolution");
            for (int i = 0; i < ListViewRuns.Items.Count; i++)
            {
                Run run = (Run)ListViewRuns.Items[i];
                tableExport.AppendLine(string.Format("{0}\t{1}\t{2}\t{3}\t{4}\t{5}\t{6}\t{7}\t{8}\t{9}\t{10}", run.RunNumber,
                    run.MaxIterations, run.Evaluations, run.BestKnownQuality, run.BestQuality,
                    run.BestQuality / run.BestKnownQuality, run.BestSolutionFoundAt, run.TotalTime, run.BestSolutionTime,
                    run.EvaluationsPerSecond, run.BestSolution));
            }
            Clipboard.SetData(DataFormats.Text, tableExport.ToString());
        }
    }
}