Ejemplo n.º 1
0
        //This method handle the click event on the Restart Detection button
        private void Restart_Detection_Button_Click(object sender, RoutedEventArgs e)
        {
            //Critical Section that have to be executed atomically
            lock (_lockObject)
            {
                try
                {
                    //Stopping the timer needed to understand if we are in presence of timeout
                    timeout.Stop();
                    timeout.Tick -= Timeout_handler;

                    //Instantly re-starting the execution of the C++ code
                    Synchronizer.StartEngine(configuration, Handle_Cpp_Error);

                    //Change the button visibility in the window
                    this.restart_detection_button.Visibility = Visibility.Hidden;
                    this.stop_detection_button.Visibility    = Visibility.Visible;
                    no_detection                     = false;
                    detection_mode                   = Features.Detection_Status.Running;
                    this.detection_status.Text       = detection_mode.ToString();
                    this.detection_status.Foreground = Brushes.Green;

                    //Update the activity timeline dictionary
                    activity_timeline = Log.GetEngineActivityTimeline(configuration, true);

                    //Update the maximum of all the sliders
                    double max = activity_timeline.Sum(t => t.Value.TotalSeconds);
                    DM_slider.Maximum       = max;
                    CoT_rangeSlider.Maximum = max;
                    FM_rangeSlider.Maximum  = max;

                    //Updating the tick frequency of the sliders
                    DM_slider.TickFrequency       = Features.percentageUpgradeSteps * DM_slider.Maximum;
                    CoT_rangeSlider.TickFrequency = Features.percentageUpgradeSteps * CoT_rangeSlider.Maximum;
                    FM_rangeSlider.TickFrequency  = Features.percentageUpgradeSteps * FM_rangeSlider.Maximum;

                    //Here I update the splitters
                    Statistic_Auxiliary.SplittersDisplay(this, activity_timeline);

                    //Check if I have to update the graphs
                    if (DM_realtime)
                    {
                        DM_slider.Value = DM_slider.Maximum;
                    }

                    if (CoT_realtime)
                    {
                        //Here I compute the last activity range
                        KeyValuePair <DateTime, TimeSpan> lastActivityRange = activity_timeline.OrderByDescending(t => t.Key).First();

                        //Here I update the CoT slider values, without the raising of the event
                        CoT_rangeSlider.HigherValue = CoT_rangeSlider.Maximum;
                        CoT_rangeSlider.LowerValue  = activity_timeline.Values.Sum(cot => cot.TotalSeconds) - lastActivityRange.Value.TotalSeconds;
                    }

                    //Here I set the new last detection to the period of restart detection
                    last_detection = DateTime.Now;

                    //Re-starting the timer needed to update the graphs
                    this.ActiveUpdateTimers();
                }
                catch (Exception ex)
                {
                    Console.WriteLine(ex.StackTrace);
                    Console.WriteLine(ex.Message);
                    Handle_DB_Error();
                }
            }

            return;
        }
Ejemplo n.º 2
0
 //Managing the resize of the window
 private void ResizedWindow_Event(object sender, EventArgs e)
 {
     Statistic_Auxiliary.SplittersDisplay(this, activity_timeline);
 }
Ejemplo n.º 3
0
        //This method handle the event raised by the timer setted for the update of the grid views
        private void Update_Graph_handler(object sender, EventArgs e)
        {
            DateTime now = DateTime.Now;

            //Here I update all the sliders
            DM_slider.Maximum       += now.Subtract(last_detection).TotalSeconds;
            CoT_rangeSlider.Maximum += now.Subtract(last_detection).TotalSeconds;
            FM_rangeSlider.Maximum  += now.Subtract(last_detection).TotalSeconds;

            //Updating the tick frequency of the sliders
            DM_slider.TickFrequency       = Features.percentageUpgradeSteps * DM_slider.Maximum;
            CoT_rangeSlider.TickFrequency = Features.percentageUpgradeSteps * CoT_rangeSlider.Maximum;
            FM_rangeSlider.TickFrequency  = Features.percentageUpgradeSteps * FM_rangeSlider.Maximum;

            //Here I update the timespan of the last entry of the activity timeline dictionary
            KeyValuePair <DateTime, TimeSpan> lastActivityRange = activity_timeline.OrderByDescending(t => t.Key).First();
            DateTime lastActivityDate = lastActivityRange.Key;

            activity_timeline[lastActivityDate] = now.Subtract(lastActivityDate);

            //Here I update the splitters
            Statistic_Auxiliary.SplittersDisplay(this, activity_timeline);

            //Here I save the last detection of reference
            last_detection = DateTime.Now;

            //Here I update the slider of the DM representation
            if (DM_realtime)
            {
                DM_slider.Value = DM_slider.Maximum;
            }

            //Here I add some data to the counting over time graph
            try
            {
                devices_position = dataCaching.LastPosition_List(last_detection);
                CoT_devices.Values.Add(new DateTimePoint(last_detection, devices_position.Count));
            }
            catch (Exception ex)
            {
                Console.WriteLine(ex.StackTrace);
                Console.WriteLine(ex.Message);
                Handle_DB_Error();
            }

            //Here I update the slider of the CoT representation
            if (CoT_realtime)
            {
                CoT_rangeSlider.HigherValue = CoT_rangeSlider.Maximum;
                if (activity_timeline[lastActivityDate].TotalSeconds < Features.MaxMinDifferenceRange)
                {
                    CoT_rangeSlider.LowerValue = activity_timeline.Values.Sum(cot => cot.TotalSeconds) - activity_timeline[lastActivityDate].TotalSeconds;
                }
                else
                {
                    CoT_rangeSlider.LowerValue = activity_timeline.Values.Sum(cot => cot.TotalSeconds) - Features.MaxMinDifferenceRange;
                }
            }

            //At the end of all operations this handler set again the timer after what to retrive the new data
            update_Graph.Interval = new TimeSpan(0, 0, Features.delayUpdateGraphs);
            update_Graph.Start();
        }
Ejemplo n.º 4
0
        //This method initialize the entire statistic window
        private void OnLoadEvent(object sender, RoutedEventArgs e)
        {
            try
            {
                Synchronizer.StartEngine(configuration, Handle_Cpp_Error);

                //Changing the detection mode and representation
                detection_mode                   = Features.Detection_Status.Running;
                this.detection_status.Text       = detection_mode.ToString();
                this.detection_status.Foreground = Brushes.Green;
                no_detection = false;

                //Setting the default current view at start
                current_view = this.device_distribution.Name;

                //Store the activity timeline
                activity_timeline = Log.GetEngineActivityTimeline(configuration, true);
            }
            catch (System.Data.Entity.Core.ProviderIncompatibleException dex)
            {
                Console.WriteLine(dex.StackTrace);
                Console.WriteLine(dex.Message);
                Handle_DB_Error();
            }
            catch (Exception ex)
            {
                Console.WriteLine(ex.StackTrace);
                Console.WriteLine(ex.Message);

                //Here I stop the engine of the C++ code
                Synchronizer.StopEngine(configuration);
                MessageBox.Show("An unknown error occur during the initialization of the statistic window!\n" +
                                "The application will be closed!");
                Environment.Exit(-1);
            }

            //Initialization of all the axis and series of the views
            Axis_Initialize();
            LineSeries_Initialize();

            //Here I compute the last activity range
            KeyValuePair <DateTime, TimeSpan> lastActivityRange = activity_timeline.OrderByDescending(t => t.Key).First();

            //Initialize the device monitoring representation
            for (int i = 0; i < configuration_boards.Count; i++)
            {
                DM_polygon.Values.Add(new ObservablePoint(configuration_boards[i].X, configuration_boards[i].Y));
            }
            if (configuration_boards.Count > 2)
            {
                DM_polygon.Values.Add(new ObservablePoint(configuration_boards[0].X, configuration_boards[0].Y));
            }
            Axis_Focus_Point();

            //Only if the mode is Modify or Load we display the previous data detected
            if (opening_mode == Features.Window_Mode.Load || opening_mode == Features.Window_Mode.Modify)
            {
                DateTime lastActivity = activity_timeline.OrderBy(t => t.Key).Last().Key;
                foreach (KeyValuePair <DateTime, TimeSpan> tuple in activity_timeline.OrderBy(t => t.Key))
                {
                    //Initialize all the sliders in the representations
                    DM_slider.Maximum       += tuple.Value.TotalSeconds;
                    CoT_rangeSlider.Maximum += tuple.Value.TotalSeconds;
                    FM_rangeSlider.Maximum  += tuple.Value.TotalSeconds;

                    //Initialize the counting over time representation
                    if (tuple.Key != lastActivity && tuple.Value.TotalSeconds >= Features.delayUpdateGraphs)
                    {
                        int iteration = (int)tuple.Value.TotalSeconds / Features.delayUpdateGraphs;
                        for (int i = 1; i <= iteration; i++)
                        {
                            try
                            {
                                last_detection   = tuple.Key.AddSeconds(i * Features.delayUpdateGraphs);
                                devices_position = dataCaching.LastPosition_List(last_detection);
                                CoT_devices.Values.Add(new DateTimePoint(last_detection, devices_position.Count));
                            }
                            catch (Exception ex)
                            {
                                Console.WriteLine(ex.StackTrace);
                                Console.WriteLine(ex.Message);
                                Handle_DB_Error();
                            }
                        }
                        CoT_devices.Values.Add(new DateTimePoint(last_detection, double.NaN));
                    }
                }

                //Updating the tick frequency of the sliders
                DM_slider.TickFrequency       = Features.percentageUpgradeSteps * DM_slider.Maximum;
                CoT_rangeSlider.TickFrequency = Features.percentageUpgradeSteps * CoT_rangeSlider.Maximum;
                FM_rangeSlider.TickFrequency  = Features.percentageUpgradeSteps * FM_rangeSlider.Maximum;

                //Here I add the splitters
                Statistic_Auxiliary.SplittersDisplay(this, activity_timeline);

                //Here I initialize the statistics at startup
                try
                {
                    //Here I generate the data needed for update the 3 statistics
                    int totalDistinctMACs, local_MACs, distinct_MACs, percentage_MACs;

                    totalDistinctMACs = dataCaching.TotalMAC_DistinctNumber();
                    local_MACs        = dataCaching.LocalMAC_Number();
                    distinct_MACs     = dataCaching.LocalMAC_DistinctNumber();
                    if (local_MACs == 0)
                    {
                        percentage_MACs = 0;
                    }
                    else
                    {
                        percentage_MACs = (int)(distinct_MACs * 100 / local_MACs);
                    }

                    //Here I update the text of the labels showing the statistics
                    this.total_distinct_MACs.Text   = totalDistinctMACs.ToString();
                    this.local_MACs.Text            = local_MACs.ToString();
                    this.distinct_MACs.Text         = distinct_MACs.ToString();
                    this.percentage_local_MACs.Text = percentage_MACs.ToString() + " %";
                }
                catch (Exception ex)
                {
                    Console.WriteLine(ex.StackTrace);
                    Console.WriteLine(ex.Message);
                    Handle_DB_Error();
                }
            }
            else
            {
                //Initialize the date of the representations
                double max = activity_timeline.Sum(t => t.Value.TotalSeconds);
                DM_slider.Maximum       = max;
                CoT_rangeSlider.Maximum = max;
                FM_rangeSlider.Maximum  = max;

                //Here I update the Min and Max values of the Axis of the CoT graph at startup
                Statistic_Auxiliary.UpdateCoTAxisConfiguration(this, activity_timeline);
            }

            //Here I update DM_slider thumb
            DM_slider.Value = DM_slider.Maximum;

            //Here I update the CoT and FM slider values
            double sum = activity_timeline.Sum(x => x.Value.TotalSeconds);

            CoT_rangeSlider.HigherValue = CoT_rangeSlider.Maximum;
            CoT_rangeSlider.LowerValue  = sum - lastActivityRange.Value.TotalSeconds;

            DateTime date_min = Statistic_Auxiliary.Translate_Slider_Value(FM_rangeSlider.LowerValue, activity_timeline);
            DateTime date_max = Statistic_Auxiliary.Translate_Slider_Value(FM_rangeSlider.HigherValue, activity_timeline);

            FM_rangeSlider.HigherValue = FM_rangeSlider.Maximum;
            FM_rangeSlider.LowerValue  = sum - lastActivityRange.Value.TotalSeconds;
            FM_date_start.Text         = date_min.ToString();
            FM_date_end.Text           = date_max.ToString();

            last_detection = DateTime.Now;

            //Set the operation for the first update graph event call
            this.ActiveUpdateTimers();

            return;
        }