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  • Creating a mouse drag done observable with Reactive Extensions

    - by juharr
    I have the following var leftMouseDown = Observable.FromEvent<MouseButtonEventArgs>(displayCanvas, "MouseLeftButtonDown"); var leftMouseUp = Observable.FromEvent<MouseButtonEventArgs>(displayCanvas, "MouseLeftButtonUp"); var mouseMove = Observable.FromEvent<MouseEventArgs>(displayCanvas, "MouseMove"); var leftMouseDragging = from down in leftMouseDown let startPoint = down.EventArgs.GetPosition(displayCanvas) from move in mouseMove.TakeUntil(leftMouseUp) let endPoint = move.EventArgs.GetPosition(displayCanvas) select new { Start = startPoint, End = endPoint }; which when I subscribe to it will give me the start point of the drag and the current end point. Now I need to do something once the drag is done. I was unsuccessful in attempting to do this completely with RX and ended up doing leftMouseDragging.Subscribe(value=> { dragging = true; //Some other code }); leftMouseUp.Subscribe(e=> { if(dragging) { MessageBox.Show("Just finished dragging"); dragging = false; } }); This works fine until I do a right mouse button drag. Then when I click the left mouse button I get the message box. If I only do a left button drag I get the message box, and then clicking the left mouse button doesn't produce the box. I'd like to do this without the external state, but if nothing else I'd at least like for it to work properly. FYI: I tried making dragging volatile and using a lock, but that didn't work. EDIT It turns out my problem was with a right click context menu. Once I got rid of that my above code worked. So, now my problem is how to I get to have the context menu and still have my code work. I assume the Context menu was handling the left mouse click and that somehow caused my code to not work, but I'm still puzzling it out.

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  • Implementing the Reactive Manifesto with Azure and AWS

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/31/implementing-the-reactive-manifesto-with-azure-and-aws.aspxMy latest Pluralsight course, Implementing the Reactive Manifesto with Azure and AWS has just been published! I’d planned to do a course on dual-running a messaging-based solution in Azure and AWS for super-high availability and scale, and the Reactive Manifesto encapsulates exactly what I wanted to do. A “reactive” application describes an architecture which is inherently resilient and scalable, being event-driven at the core, and using asynchronous communication between components. In the course, I compare that architecture to a classic n-tier approach, and go on to build out an app which exhibits all the reactive traits: responsive, event-driven, scalable and resilient. I use a suite of technologies which are enablers for all those traits: ASP.NET SignalR for presentation, with server push notifications to the user Messaging in the middle layer for asynchronous communication between presentation and compute Azure Service Bus Queues and Topics AWS Simple Queue Service AWS Simple Notification Service MongoDB at the storage layer for easy HA and scale, with minimal locking under load. Starting with a couple of console apps to demonstrate message sending, I build the solution up over 7 modules, deploying to Azure and AWS and running the app across both clouds concurrently for the whole stack - web servers, messaging infrastructure, message handlers and database servers. I demonstrating failover by killing off bits of infrastructure, and show how a reactive app deployed across two clouds can survive machine failure, data centre failure and even whole cloud failure. The course finishes by configuring auto-scaling in AWS and Azure for the compute and presentation layers, and running a load test with blitz.io. The test pushes masses of load into the app, which is deployed across four data centres in Azure and AWS, and the infrastructure scales up seamlessly to meet the load – the blitz report is pretty impressive: That’s 99.9% success rate for hits to the website, with the potential to serve over 36,000,000 hits per day – all from a few hours’ build time, and a fairly limited set of auto-scale configurations. When the load stops, the infrastructure scales back down again to a minimal set of servers for high availability, so the app doesn’t cost much to host unless it’s getting a lot of traffic. This is my third course for Pluralsight, with Nginx and PHP Fundamentals and Caching in the .NET Stack: Inside-Out released earlier this year. Now that it’s out, I’m starting on the fourth one, which is focused on C#, and should be out by the end of the year.

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  • Using the Reactive Extensions with the Silverlight Toolkit and MEF

    - by Bobby Diaz
    I have come across several instances of people having trouble using the new Reactive Extensions (v1.0.2317) in projects that reference the Silverlight Toolkit (Nov09) due to the fact that the original release of the Rx Framework (v1.0.0.0) was bundled with the Toolkit.  The trouble really becomes evident if you are using the Managed Extensibility Framework (MEF) to discover and compose portions of your application.   If you are using the CompositionInitializer, or any other mechanism that probes all of the loaded assemblies for valid exports, you will likely receive the following error: Inspecting the LoaderExceptions property yields the following: System.IO.FileNotFoundException: Could not load file or assembly 'System.Reactive, Version=1.0.0.0, Culture=neutral, PublicKeyToken=1b331ac6720247d9' or one of its dependencies. The system cannot find the file specified.  File name: 'System.Reactive, Version=1.0.0.0, Culture=neutral, PublicKeyToken=1b331ac6720247d9' This is due to some of the Toolkit assemblies referencing the older System.Reactive.dll.  I was able to work around the issue by bypassing the automatic probing of loaded assemblies and instead specified which assemblies my exports could be found.     public MainPage()     {         InitializeComponent();           // the following line causes a ReflectionTypeLoadException         //CompositionInitializer.SatisfyImports(this);           // skip the toolkit assemblies by specifying assemblies         var catalog = new AssemblyCatalog(GetType().Assembly);         var container = new CompositionContainer(catalog);         container.ComposeParts(this);           ShowReferences();     } With some simple xaml, I was able to print out exactly which libraries are currently loaded in the application. You can download the sample project to run it for yourself! Hope that helps!

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  • How to create reactive tasks for programming competitions?

    - by directx
    A reactive task is sometimes seen in the IOI programming competition. Unlike batch tasks, reactive solutions take input from another program as well as outputting it. The program typically 'query' the judge program a certain number of times, then output a final answer. An example The client program accepts lines one by one, and simply echoes it back. When it encountered a line with "done", it exists immediately. The client program in Java looks like this: import java.util.*; class Main{ public static void main (String[] args){ Scanner in = new Scanner(System.in); String s; while (!(s=in.nextLine()).equals("done")) System.out.println(s); } } The judge program gives the input and processes output from the client program. In this example, it feeds it a predefined input and checks if the client program has echoed it back correctly. A session might go like this: Judge Client ------------------ Hello Hello World World done I'm having trouble writing the judge program and having it judge the client program. I'd appreciate if someone could write a judge program for my example.

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  • Rx Reactive extensions: Unit testing with FromAsyncPattern

    - by Andrew Anderson
    The Reactive Extensions have a sexy little hook to simplify calling async methods: var func = Observable.FromAsyncPattern<InType, OutType>( myWcfService.BeginDoStuff, myWcfService.EndDoStuff); func(inData).ObserveOnDispatcher().Subscribe(x => Foo(x)); I am using this in an WPF project, and it works great at runtime. Unfortunately, when trying to unit test methods that use this technique I am experiencing random failures. ~3 out of every five executions of a test that contain this code fails. Here is a sample test (implemented using a Rhino/unity auto-mocking container): [TestMethod()] public void SomeTest() { // arrange var container = GetAutoMockingContainer(); container.Resolve<IMyWcfServiceClient>() .Expect(x => x.BeginDoStuff(null, null, null)) .IgnoreArguments() .Do( new Func<Specification, AsyncCallback, object, IAsyncResult>((inData, asyncCallback, state) => { return new CompletedAsyncResult(asyncCallback, state); })); container.Resolve<IRepositoryServiceClient>() .Expect(x => x.EndRetrieveAttributeDefinitionsForSorting(null)) .IgnoreArguments() .Do( new Func<IAsyncResult, OutData>((ar) => { return someMockData; })); // act var target = CreateTestSubject(container); target.DoMethodThatInvokesService(); // Run the dispatcher for everything over background priority Dispatcher.CurrentDispatcher.Invoke(DispatcherPriority.Background, new Action(() => { })); // assert Assert.IsTrue(my operation ran as expected); } The problem that I see is that the code that I specified to run when the async action completed (in this case, Foo(x)), is never called. I can verify this by setting breakpoints in Foo and observing that they are never reached. Further, I can force a long delay after calling DoMethodThatInvokesService (which kicks off the async call), and the code is still never run. I do know that the lines of code invoking the Rx framework were called. Other things I've tried: I have attempted to modify the second last line according to the suggestions here: Reactive Extensions Rx - unit testing something with ObserveOnDispatcher No love. I have added .Take(1) to the Rx code as follows: func(inData).ObserveOnDispatcher().Take(1).Subscribe(x = Foo(x)); This improved my failure rate to something like 1 in 5, but they still occurred. I have rewritten the Rx code to use the plain jane Async pattern. This works, however my developer ego really would love to use Rx instead of boring old begin/end. In the end I do have a work around in hand (i.e. don't use Rx), however I feel that it is not ideal. If anyone has ran into this problem in the past and found a solution, I'd dearly love to hear it.

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  • "Push" linq vs reactive framework

    - by Benjol
    (Once again exposing the depths of my ignorance here by combining two concepts which I haven't grokked) I read here about the Reactive framework being a 'Push' model compared to Linq's 'Pull' model. This reminded me of reading an article about 'Push' Linq. Is there really any similarity between these two 'frameworks'? UPDATE Since I asked this question, Jon Skeet has asked it too, here are his first and second impressions.

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  • StreamInsight and Reactive Framework Challenge

    In his blogpost Roman from the StreamInsight team asked if we could create a Reactive Framework version of what he had done in the post using StreamInsight.  For those who don’t know, the Reactive Framework or Rx to its friends is a library for composing asynchronous and event-based programs using observable collections in the .Net framework.  Yes, there is some overlap between StreamInsight and the Reactive Extensions but StreamInsight has more flexibility and power in its temporal algebra (Windowing, Alteration of event headers) Well here are two alternate ways of doing what Roman did. The first example is a mix of StreamInsight and Rx var rnd = new Random(); var RandomValue = 0; var interval = Observable.Interval(TimeSpan.FromMilliseconds((Int32)rnd.Next(500,3000))) .Select(i => { RandomValue = rnd.Next(300); return RandomValue; }); Server s = Server.Create("Default"); Microsoft.ComplexEventProcessing.Application a = s.CreateApplication("Rx SI Mischung"); var inputStream = interval.ToPointStream(a, evt => PointEvent.CreateInsert( System.DateTime.Now.ToLocalTime(), new { RandomValue = evt}), AdvanceTimeSettings.IncreasingStartTime, "Rx Sample"); var r = from evt in inputStream select new { runningVal = evt.RandomValue }; foreach (var x in r.ToPointEnumerable().Where(e => e.EventKind != EventKind.Cti)) { Console.WriteLine(x.Payload.ToString()); } This next version though uses the Reactive Extensions Only   var rnd = new Random(); var RandomValue = 0; Observable.Interval(TimeSpan.FromMilliseconds((Int32)rnd.Next(500, 3000))) .Select(i => { RandomValue = rnd.Next(300); return RandomValue; }).Subscribe(Console.WriteLine, () => Console.WriteLine("Completed")); Console.ReadKey();   These are very simple examples but both technologies allow us to do a lot more.  The ICEPObservable() design pattern was reintroduced in StreamInsight 1.1 and the more I use it the more I like it.  It is a very useful pattern when wanting to show StreamInsight samples as is the IEnumerable() pattern.

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  • Reactive Extensions vs FileSystemWatcher

    - by Joel Mueller
    One of the things that has long bugged me about the FileSystemWatcher is the way it fires multiple events for a single logical change to a file. I know why it happens, but I don't want to have to care - I just want to reparse the file once, not 4-6 times in a row. Ideally, there would be an event that only fires when a given file is done changing, rather than every step along the way. Over the years I've come up with various solutions to this problem, of varying degrees of ugliness. I thought Reactive Extensions would be the ultimate solution, but there's something I'm not doing right, and I'm hoping someone can point out my mistake. I have an extension method: public static IObservable<IEvent<FileSystemEventArgs>> GetChanged(this FileSystemWatcher that) { return Observable.FromEvent<FileSystemEventArgs>(that, "Changed"); } Ultimately, I would like to get one event per filename, within a given time period - so that four events in a row with a single filename are reduced to one event, but I don't lose anything if multiple files are modified at the same time. BufferWithTime sounds like the ideal solution. var bufferedChange = watcher.GetChanged() .Select(e => e.EventArgs.FullPath) .BufferWithTime(TimeSpan.FromSeconds(1)) .Where(e => e.Count > 0) .Select(e => e.Distinct()); When I subscribe to this observable, a single change to a monitored file triggers my subscription method four times in a row, which rather defeats the purpose. If I remove the Distinct() call, I see that each of the four calls contains two identical events - so there is some buffering going on. Increasing the TimeSpan passed to BufferWithTime seems to have no effect - I went as high as 20 seconds without any change in behavior. This is my first foray into Rx, so I'm probably missing something obvious. Am I doing it wrong? Is there a better approach? Thanks for any suggestions...

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  • Creating a REST client API using Reactive Extensions (Rx)

    - by Jonas Follesø
    I'm trying to get my head around the right use cases for Reactive Extensions (Rx). The examples that keeps coming up are UI events (drag and drop, drawing), and suggestions that Rx is suitable for asynchronous applications/operations such as web service calls. I'm working on an application where I need to write a tiny client API for a REST service. I need to call four REST end-points, three to get some reference data (Airports, Airlines, and Statuses), and the fourth is the main service that will give you flight times for a given airport. I have created classes exposing the three reference data services, and the methods look something like this: public Observable<Airport> GetAirports() public Observable<Airline> GetAirlines() public Observable<Status> GetStatuses() public Observable<Flights> GetFlights(string airport) In my GetFlights method I want each Flight to hold a reference the Airport it's departing from, and the Airline operating the flight. To do that I need the data from GetAirports and GetAirlines to be available. My initial thinking was something like this: Write a Rx Query that will Subscribe on the three reference services (Airports, Airlines and Statuses) Add results into a Dictionary (airline code and Airline object) When all three GetAirports, GetAirlines and GetStatuses are complete, then return the GetFlights IObservable. Is this a reasonable scenario for Rx? I'm developing on the Windows Phone 7, so I'm not sure if there are major differences in the Rx implementations across the different platforms.

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  • Generate Strongly Typed Observable Events for the Reactive Extensions for .NET (Rx)

    - by Bobby Diaz
    I must have tried reading through the various explanations and introductions to the new Reactive Extensions for .NET before the concepts finally started sinking in.  The article that gave me the ah-ha moment was over on SilverlightShow.net and titled Using Reactive Extensions in Silverlight.  The author did a good job comparing the "normal" way of handling events vs. the new "reactive" methods. Admittedly, I still have more to learn about the Rx Framework, but I wanted to put together a sample project so I could start playing with the new Observable and IObservable<T> constructs.  I decided to throw together a whiteboard application in Silverlight based on the Drawing with Rx example on the aforementioned article.  At the very least, I figured I would learn a thing or two about a new technology, but my real goal is to create a fun application that I can share with the kids since they love drawing and coloring so much! Here is the code sample that I borrowed from the article: var mouseMoveEvent = Observable.FromEvent<MouseEventArgs>(this, "MouseMove"); var mouseLeftButtonDown = Observable.FromEvent<MouseButtonEventArgs>(this, "MouseLeftButtonDown"); var mouseLeftButtonUp = Observable.FromEvent<MouseButtonEventArgs>(this, "MouseLeftButtonUp");       var draggingEvents = from pos in mouseMoveEvent                              .SkipUntil(mouseLeftButtonDown)                              .TakeUntil(mouseLeftButtonUp)                              .Let(mm => mm.Zip(mm.Skip(1), (prev, cur) =>                                  new                                  {                                      X2 = cur.EventArgs.GetPosition(this).X,                                      X1 = prev.EventArgs.GetPosition(this).X,                                      Y2 = cur.EventArgs.GetPosition(this).Y,                                      Y1 = prev.EventArgs.GetPosition(this).Y                                  })).Repeat()                          select pos;       draggingEvents.Subscribe(p =>     {         Line line = new Line();         line.Stroke = new SolidColorBrush(Colors.Black);         line.StrokeEndLineCap = PenLineCap.Round;         line.StrokeLineJoin = PenLineJoin.Round;         line.StrokeThickness = 5;         line.X1 = p.X1;         line.Y1 = p.Y1;         line.X2 = p.X2;         line.Y2 = p.Y2;         this.LayoutRoot.Children.Add(line);     }); One thing that was nagging at the back of my mind was having to deal with the event names as strings, as well as the verbose syntax for the Observable.FromEvent<TEventArgs>() method.  I came up with a couple of static/helper classes to resolve both issues and also created a T4 template to auto-generate these helpers for any .NET type.  Take the following code from the above example: var mouseMoveEvent = Observable.FromEvent<MouseEventArgs>(this, "MouseMove"); var mouseLeftButtonDown = Observable.FromEvent<MouseButtonEventArgs>(this, "MouseLeftButtonDown"); var mouseLeftButtonUp = Observable.FromEvent<MouseButtonEventArgs>(this, "MouseLeftButtonUp"); Turns into this with the new static Events class: var mouseMoveEvent = Events.Mouse.Move.On(this); var mouseLeftButtonDown = Events.Mouse.LeftButtonDown.On(this); var mouseLeftButtonUp = Events.Mouse.LeftButtonUp.On(this); Or better yet, just remove the variable declarations altogether:     var draggingEvents = from pos in Events.Mouse.Move.On(this)                              .SkipUntil(Events.Mouse.LeftButtonDown.On(this))                              .TakeUntil(Events.Mouse.LeftButtonUp.On(this))                              .Let(mm => mm.Zip(mm.Skip(1), (prev, cur) =>                                  new                                  {                                      X2 = cur.EventArgs.GetPosition(this).X,                                      X1 = prev.EventArgs.GetPosition(this).X,                                      Y2 = cur.EventArgs.GetPosition(this).Y,                                      Y1 = prev.EventArgs.GetPosition(this).Y                                  })).Repeat()                          select pos; The Move, LeftButtonDown and LeftButtonUp members of the Events.Mouse class are readonly instances of the ObservableEvent<TTarget, TEventArgs> class that provide type-safe access to the events via the On() method.  Here is the code for the class: using System; using System.Collections.Generic; using System.Linq;   namespace System.Linq {     /// <summary>     /// Represents an event that can be managed via the <see cref="Observable"/> API.     /// </summary>     /// <typeparam name="TTarget">The type of the target.</typeparam>     /// <typeparam name="TEventArgs">The type of the event args.</typeparam>     public class ObservableEvent<TTarget, TEventArgs> where TEventArgs : EventArgs     {         /// <summary>         /// Initializes a new instance of the <see cref="ObservableEvent"/> class.         /// </summary>         /// <param name="eventName">Name of the event.</param>         protected ObservableEvent(String eventName)         {             EventName = eventName;         }           /// <summary>         /// Registers the specified event name.         /// </summary>         /// <param name="eventName">Name of the event.</param>         /// <returns></returns>         public static ObservableEvent<TTarget, TEventArgs> Register(String eventName)         {             return new ObservableEvent<TTarget, TEventArgs>(eventName);         }           /// <summary>         /// Creates an enumerable sequence of event values for the specified target.         /// </summary>         /// <param name="target">The target.</param>         /// <returns></returns>         public IObservable<IEvent<TEventArgs>> On(TTarget target)         {             return Observable.FromEvent<TEventArgs>(target, EventName);         }           /// <summary>         /// Gets or sets the name of the event.         /// </summary>         /// <value>The name of the event.</value>         public string EventName { get; private set; }     } } And this is how it's used:     /// <summary>     /// Categorizes <see cref="ObservableEvents"/> by class and/or functionality.     /// </summary>     public static partial class Events     {         /// <summary>         /// Implements a set of predefined <see cref="ObservableEvent"/>s         /// for the <see cref="System.Windows.System.Windows.UIElement"/> class         /// that represent mouse related events.         /// </summary>         public static partial class Mouse         {             /// <summary>Represents the MouseMove event.</summary>             public static readonly ObservableEvent<UIElement, MouseEventArgs> Move =                 ObservableEvent<UIElement, MouseEventArgs>.Register("MouseMove");               // additional members omitted...         }     } The source code contains a static Events class with prefedined members for various categories (Key, Mouse, etc.).  There is also an Events.tt template that you can customize to generate additional event categories for any .NET type.  All you should have to do is add the name of your class to the types collection near the top of the template:     types = new Dictionary<String, Type>()     {         //{ "Microsoft.Maps.MapControl.Map, Microsoft.Maps.MapControl", null }         { "System.Windows.FrameworkElement, System.Windows", null },         { "Whiteboard.MainPage, Whiteboard", null }     }; The template is also a bit rough at this point, but at least it generates code that *should* compile.  Please let me know if you run into any issues with it.  Some people have reported errors when trying to use T4 templates within a Silverlight project, but I was able to get it to work with a little black magic...  You can download the source code for this project or play around with the live demo.  Just be warned that it is at a very early stage so don't expect to find much today.  I plan on adding alot more options like pen colors and sizes, saving, printing, etc. as time permits.  HINT: hold down the ESC key to erase! Enjoy! Additional Resources Using Reactive Extensions in Silverlight DevLabs: Reactive Extensions for .NET (Rx) Rx Framework Part III - LINQ to Events - Generating GetEventName() Wrapper Methods using T4

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  • Using MonadPlus in FRP.Reactive.FieldTrip

    - by ony
    I'm studying FRP at this moment through FieldTrip adaptor. And hit the problem with strange way of frames scheduling and integration. So now I'm trying to build own marker Event for aligning Behaviour stepping. So... flipflop :: Behavior String flipflop = stepper "none" (xflip 2) where xflip t0 = do t <- withTimeE_ (atTime t0) return "flip" `mplus` xflop (t+3) xflop t0 = do t <- withTimeE_ (atTime t0) return "flop" `mplus` xflip (t+2) txtGeom = ((uscale2 (0.5::Float) *%) . utext . show <$>) main = anim2 (txtGeom . pure flipflop) Questions is: Why this example leads to memory leak? Is there safe way to build sequence of events where each next one is scheduled depending on previous?

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  • Hack Apart a Highlighter to Create UV-Reactive Flowers [Science]

    - by ETC
    College students have long been hacking apart highlighters to create glowing bottles of booze to line their dorm room walls. Far more interesting, however, is the application of the hack to flowers. Many of you may remember a science class experiment from years gone by where in you put food coloring in a beaker and then some freshly cut white flowers; returning to the experiment a day later yielded flowers colored to match the dye you added. This little experiment relies on the same technique, only instead of blue food coloring the flowers suck up UV-reactive highlighter dye. Check out the video below to see the experiment in action: Have a fun science experiment to share? Let’s hear about it in the comments. Make Flowers Glow in the Dark (with Highlighter Fluid and UV Light) [YouTube via Make] Latest Features How-To Geek ETC Learn To Adjust Contrast Like a Pro in Photoshop, GIMP, and Paint.NET Have You Ever Wondered How Your Operating System Got Its Name? Should You Delete Windows 7 Service Pack Backup Files to Save Space? What Can Super Mario Teach Us About Graphics Technology? Windows 7 Service Pack 1 is Released: But Should You Install It? How To Make Hundreds of Complex Photo Edits in Seconds With Photoshop Actions Hack Apart a Highlighter to Create UV-Reactive Flowers [Science] Add a “Textmate Style” Lightweight Text Editor with Dropbox Syncing to Chrome and Iron Is the Forcefield Really On or Not? [Star Wars Parody Video] Google Updates Picasa Web Albums; Emphasis on Sharing and Showcasing Uwall.tv Turns YouTube into a Video Jukebox Early Morning Sunrise at the Beach Wallpaper

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  • Mouse Clicks, Reactive Extensions and StreamInsight Mashup

    I had an hour spare this afternoon so I wanted to have another play with Reactive Extensions in .Net and StreamInsight.  I also didn’t want to simply use a console window as a way of gathering events so I decided to use a windows form instead. The task I set myself was this. Whenever I click on my form I want to subscribe to the event and output its location to the console window and also the timestamp of the event.  In addition to this I want to know for every mouse click I do, how many mouse clicks have happened in the last 5 seconds. The second point here is really interesting.  I have often found this when working with people on problems.  It is how you ask the question that determines how you tackle the problem.  I will show 2 ways of possibly answering the second question depending on how the question was interpreted. As a side effect of this example I will show how time in StreamInsight can stand still.  This is an important concept and we can see it in the output later. Now to the code.  I will break it all down in this blogpost but you can download the solution and see it all together. I created a Console application and then instantiate a windows form.   frm = new Form(); Thread g = new Thread(CallUI); g.SetApartmentState(ApartmentState.STA); g.Start();   Call UI looks like this   static void CallUI() { System.Windows.Forms.Application.Run(frm); frm.Activate(); frm.BringToFront(); }   Now what we need to do is create an observable from the MouseClick event on the form.  For this we use the Reactive Extensions.   var lblevt = Observable.FromEvent<MouseEventArgs>(frm, "MouseClick").Timestamp();   As mentioned earlier I have two objectives in this example and to solve the first I am going to again use the Reactive extensions.  Let’s subscribe to the MouseClick event and output the location and timestamp to the console. lblevt.Subscribe(evt => { Console.WriteLine("Clicked: {0}, {1} ", evt.Value.EventArgs.Location,evt.Timestamp); }); That should take care of obective #1 but what about the second objective.  For that we need some temporal windowing and this means StreamInsight.  First we need to turn our Observable collection of MouseClick events into a PointStream Server s = Server.Create("Default"); Microsoft.ComplexEventProcessing.Application a = s.CreateApplication("MouseClicks"); var input = lblevt.ToPointStream( a, evt => PointEvent.CreateInsert( evt.Timestamp, new { loc = evt.Value.EventArgs.Location.ToString(), ts = evt.Timestamp.ToLocalTime().ToString() }), AdvanceTimeSettings.IncreasingStartTime);   Now that we have created out PointStream we need to do something with it and this is where we get to our second objective.  It is pretty clear that we want some kind of windowing but what? Here is one way of doing it.  It might not be what you wanted but again it is how the second objective is interpreted   var q = from i in input.TumblingWindow(TimeSpan.FromSeconds(5), HoppingWindowOutputPolicy.ClipToWindowEnd) select new { CountOfClicks = i.Count() };   The above code creates tumbling windows of 5 seconds and counts the number of events in the windows.  If there are no events in the window then no result is output.  Likewise until an event (MouseClick) is issued then we do not see anything in the output (that is not strictly true because it is the CTI strapped to our MouseClick events that flush the events through the StreamInsight engine not the events themselves).  This approach is centred around the windows and not the events.  Until the windows complete and a CTI is issued then no events are pushed through. An alternate way of answering our second question is below   var q = from i in input.AlterEventDuration(evt => TimeSpan.FromSeconds(5)).SnapshotWindow(SnapshotWindowOutputPolicy.Clip) select new { CountOfClicks = i.Count() };   In this code we extend the duration of each MouseClick to five seconds.  We then create  Snapshot Windows over those events.  Snapshot windows are discussed in detail here.  With this solution we are centred around the events.  It is the events that are driving the output.  Let’s have a look at the output from this solution as it may be a little confusing. First though let me show how we get the output from StreamInsight into the Console window. foreach (var x in q.ToPointEnumerable().Where(e => e.EventKind != EventKind.Cti)) { Console.WriteLine(x.Payload.CountOfClicks); }   Ok so now to the output.   The table at the top shows the output from our routine and the table at the bottom helps to explain the output.  One of the things that will help as well is, you will note that for our PointStream we set the issuing of CTIs to be IncreasingStartTime.  What this means is that the CTI is placed right at the start of the event so will not flush the event with which it was issued but will flush those prior to it.  In the bottom table the Blue fill is where we issued a click.  Yellow fill is the duration and boundaries of our events.  The numbers at the bottom indicate the count of events   Clicked 22:40:16                                 Clicked 23:40:18                                 1                                   Clicked 23:40:20                                 2                                   Clicked 23:40:22                                 3                                   2                                   Clicked 23:40:24                                 3                                   2                                   Clicked 23:40:32                                 3                                   2                                   1                                                                                                         secs 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32                                                                                                                                                                                                                         counts   1   2 3 2 3 2 3   2   1           What we can see here in the output is that the counts include all the end edges that have occurred between the mouse clicks.  If we look specifically at the mouse click at 22:40:32. then we see that 3 events are returned to us. These include the following End Edge count at 22:40:25 End Edge count at 22:40:27 End Edge count at 22:40:29 Another thing we notice is that until we actually issue a CTI at 22:40:32 then those last 3 snapshot window counts will never be reported. Hopefully this has helped to explain  a few concepts around StreamInsight and the IObservable() pattern.   You can download this solution from here and play.  You will need the Reactive Framework from here and StreamInsight 1.1

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  • Mouse Clicks, Reactive Extensions and StreamInsight Mashup

    I had an hour spare this afternoon so I wanted to have another play with Reactive Extensions in .Net and StreamInsight. I also didn’t want to simply use a console window as a way of gathering events so I decided to use a windows form instead. The task I set myself was this. Whenever I click on my form I want to subscribe to the event and output its location to the console window and also the timestamp of the event.

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  • Do reactive extensions and ETL go together?

    - by Aaron Anodide
    I don't fully understand reactive extensions, but my inital reading caused me think about the ETL code I have. Right now its basically a workflow to to perform various operations in a certain sequence based on conditions it find as it progresses. I can also imagine an event driven way such that only a small amount of imperative logic causes a chain reaction to occur. Of course I don't need a new type of programming model to make an event driven collaboration like that. Just the same I am wondering if ETL is a good fit for potentially exploring Rx further. Is my connection in a valid direction even? If not, could you briefly correct the error in my logic?

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  • Examples of useful or non-trival dual interfaces

    - by Scott Weinstein
    Recently Erik Meijer and others have show how IObservable/IObserver is the dual of IEnumerable/IEnumerator. The fact that they are dual means that any operation on one interface is valid on the other, thus providing a theoretical foundation for the Reactive Extentions for .Net Do other dual interfaces exist? I'm interested in any example, not just .Net based.

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  • Enumerating the Future With Reactive Extensions

    Iterating over a collection of items seems like a pretty straightforward mundane concept. I dont know about you, but I dont spend the typical day thinking about the mechanics of iteration, much like I dont spend a lot of time thinking about how a roll of toilet paper is made. At least I didnt until watching Elmo Potty Time with my son. Now I think about it all the time, but I digress. Historically, Ive always thought of iteration as an action over a static set of items. You have this collection...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Rx framework: How to wait for an event to be triggered in silverlight test

    - by user324255
    Hi, I have a ViewModel that starts loading the Model async in the constructor, and triggers an event when the Model is loaded. I got a test working with the silverlight unit test framework, like this : bool done = false; [TestMethod] [Asynchronous] public void Test_NoCustomerSelected() { ProjectListViewModel viewModel = null; EnqueueCallback(() => viewModel = new ProjectListViewModel()); EnqueueCallback(() => viewModel.ModelLoaded += new EventHandler<EventArgs>(viewModel_ModelLoaded)); EnqueueConditional(() => done); EnqueueCallback(() => Assert.IsNotNull(viewModel.FilteredProjectList)); EnqueueCallback(() => Assert.AreEqual(4, viewModel.FilteredProjectList.Count)); EnqueueTestComplete(); } void viewModel_ModelLoaded(object sender, EventArgs e) { done = true; } But I'm beginning playing with Rx Framework, and trying to get my test to work, but so far I have no luck. Here's 2 attempts : public void Test_NoCustomerSelected2() { ProjectListViewModel viewModel = null; viewModel = new ProjectListViewModel(eventAggregatorMock.Object, moduleManagerMock.Object); IObservable<IEvent<EventArgs>> eventAsObservable = Observable.FromEvent<EventArgs>( ev => viewModel.ModelLoaded += ev, ev => viewModel.ModelLoaded -= ev); eventAsObservable.Subscribe(args => viewModel_ModelLoaded(args.Sender, args.EventArgs)); eventAsObservable.First(); Assert.IsNotNull(viewModel.Model); Assert.AreEqual(4, viewModel.Model.Count); } [TestMethod] public void Test_NoCustomerSelected3() { ProjectListViewModel viewModel = null; var o = Observable.Start(() => viewModel = new ProjectListViewModel(eventAggregatorMock.Object, moduleManagerMock.Object)); IObservable<IEvent<EventArgs>> eventAsObservable = Observable.FromEvent<EventArgs>( ev => viewModel.ModelLoaded += ev, ev => viewModel.ModelLoaded -= ev); o.TakeUntil(eventAsObservable) .First(); Assert.IsNotNull(viewModel.Model); Assert.AreEqual(4, viewModel.Model.Count); } The first test goes in waiting forever, the second doesn't work because the viewModel is null when it does the FromEvent. Anyone has a clue on how to do this properly?

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  • What is the Action returned by the subscribe parameter of IObservable.Create actually for?

    - by James Hay
    The method definition of IObservable.Create is: public static IObservable<TSource> Create<TSource>( Func<IObserver<TSource>, Action> subscribe ) I get that the function is called once the observable is subscribed to, where by I can then call OnNext, OnError and OnComplete on the observer. But why do I need to return an Action from the subscibe parameter and when will it actually be called?

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