Search Results

Search found 181 results on 8 pages for 'reactive'.

Page 2/8 | < Previous Page | 1 2 3 4 5 6 7 8  | Next Page >

  • How can I get an IObservable<T> in Rx from a "non-standard" event?

    - by Dan Tao
    Here's what I mean. Suppose I'm working with an API that exposes events, but these events do not follow the standard EventHandler or EventHandler<TEventArgs> signature. One event might look like this, for instance: Public Event Update(ByVal sender As BaseSubscription, ByVal e As BaseEvent) Now, typically, if I want to get an IObservable<TEventArgs> from an event, I can just do this: Dim updates = Observable.FromEvent(Of UpdateEventArgs)( _ target:=updateSource, _ eventName:="Update" _ ) But this doesn't work, because the Update event is not an EventHandler<UpdateEventArgs> -- in fact, there is no UpdateEventArgs -- it's basically just its own thing. Obviously, I could define my own class deriving from EventArgs (i.e., UpdateEventArgs), write another class to wrap the object providing the Update event, give the wrapper class its own Update event that is an EventHandler<UpdateEventArgs>, and get an IObservable<UpdateEventArgs> from that. But that's an annoying amount of work. Is there some way to create an IObservable<[something]> from a "non-standard" event like this, or am I out of luck?

    Read the article

  • Reactive Extensions for Java

    - by Timo Westkämper
    Is there any equivalent of Reactive Extensions (.NET) for Java? About Rx (Reactive Extensions) Rx is a library for composing asynchronous and event-based programs using observable collections. I am aware of rule engines such as Drools from JBOSS, but is there some other way that is closer to the Microsoft .NET approach?

    Read the article

  • Use .net reactive in silverlight to generate multiple events.

    - by Mrt
    I have a method in a silverlight application. I want to start calling this method when an event occurs (mouse move), and continue to call this method every 1 second until a simple boolean condition changes. Is this possible ? I can't work out how to get the rx to generate multiple 'events' from the single event

    Read the article

  • Microsoft rend Reactive Extensions open-source, son Framework qui facilite la programmation asynchrone en .NET, C++ et JS

    Reactive Extensions devient open source Microsoft publie le code du Framework qui rend simple la programmation asynchrone en .NET, JavaScript et C++ Le virage vers l'open source adopté par Microsoft pour plusieurs de ses outils de développement continu (voir sur le même sujet). La firme vient d'annoncer le passage des Reactive Extensions (Rx) à Microsoft Open Technology, sa filiale en charge des projets open source. Reactive Extensions est un projet du laboratoire Devlabs de Microsoft, qui a connu une certaine notoriété, car il a été développé par l'équipe d'Erik Meijer, le créateur de LINQ. Rx est un ensemble de bibliothèques qui rend la programmation asynchrone be...

    Read the article

  • TPL v/s Reactive Framework

    - by Abhijeet Patel
    When would one choose to use Rx over TPL or are the 2 frameworks orthogonal? From what I understand Rx is primarily intended to provide an abstraction over events and allow composition but it also allows for providing an abstraction over async operations. using the Createxx overloads and the Fromxxx overloads and cancellation via disposing the IDisposable returned. TPL also provides an abstraction for operations via Task and cancellation abilities. My dilemma is when to use which and for what scenarios?

    Read the article

  • Strategies for testing reactive, asynchronous code

    - by Arne
    I am developing a data-flow oriented domain-specific language. To simplify, let's just look at Operations. Operations have a number of named parameters and can be asked to compute their result using their current state. To decide when an Operation should produce a result, it gets a Decision that is sensitive to which parameter got a value from who. When this Decision decides that it is fulfilled, it emits a Signal using an Observer. An Accessor listens for this Signal and in turn calls the Result method of the Operation in order to multiplex it to the parameters of other Operations. So far, so good, nicely decoupled design, composable and reusable and, depending on the specific Observer used, as asynchronous as you want it to be. Now here's my problem: I would love to start coding actual Tests against this design. But with an asynchronous Observer... how should I know that the whole signal-and-parameters-plumbing worked? Do I need to use time outs while waiting for a Signal in order to say that it was emitted successfully or not? How can I be, formally, sure that the Signal will not be emitted if I just wait a little longer (halting problem? ;-)) And, how can I be sure that the Signal was emitted because it was me who set a parameter, and not another Operation? It might well be that my test comes to early and sees a Signal that was emitted way before my setting a parameter caused a Decision to emit it. Currently, I guess the trivial cases are easy to test, but as soon as I want to test complex many-to-many - situations between operations I must resort to hoping that the design Just Works (tm)...

    Read the article

  • Rx IObservable buffering to smooth out bursts of events

    - by Dan
    I have an Observable sequence that produces events in rapid bursts (ie: five events one right after another, then a long delay, then another quick burst of events, etc.). I want to smooth out these bursts by inserting a short delay between events. Imagine the following diagram as an example: Raw: --oooo--------------ooooo-----oo----------------ooo| Buffered: --o--o--o--o--------o--o--o--o--o--o--o---------o--o--o| My current approach is to generate a metronome-like timer via Observable.Interval() that signals when it's ok to pull another event from the raw stream. The problem is that I can't figure out how to then combine that timer with my raw unbuffered observable sequence. IObservable.Zip() is close to doing what I want, but it only works so long as the raw stream is producing events faster than the timer. As soon as there is a significant lull in the raw stream, the timer builds up a series of unwanted events that then immediately pair up with the next burst of events from the raw stream. Ideally, I want an IObservable extension method with the following function signature that produces the bevaior I've outlined above. Now, come to my rescue StackOverflow :) public static IObservable<T> Buffered(this IObservable<T> src, TimeSpan minDelay) PS. I'm brand new to Rx, so my apologies if this is a trivially simple question... 1. Simple yet flawed approach Here's my initial naive and simplistic solution that has quite a few problems: public static IObservable<T> Buffered<T>(this IObservable<T> source, TimeSpan minDelay) { Queue<T> q = new Queue<T>(); source.Subscribe(x => q.Enqueue(x)); return Observable.Interval(minDelay).Where(_ => q.Count > 0).Select(_ => q.Dequeue()); } The first obvious problem with this is that the IDisposable returned by the inner subscription to the raw source is lost and therefore the subscription can't be terminated. Calling Dispose on the IDisposable returned by this method kills the timer, but not the underlying raw event feed that is now needlessly filling the queue with nobody left to pull events from the queue. The second problem is that there's no way for exceptions or end-of-stream notifications to be propogated through from the raw event stream to the buffered stream - they are simply ignored when subscribing to the raw source. And last but not least, now I've got code that wakes up periodically regardless of whether there is actually any work to do, which I'd prefer to avoid in this wonderful new reactive world. 2. Way overly complex appoach To solve the problems encountered in my initial simplistic approach, I wrote a much more complicated function that behaves much like IObservable.Delay() (I used .NET Reflector to read that code and used it as the basis of my function). Unfortunately, a lot of the boilerplate logic such as AnonymousObservable is not publicly accessible outside the system.reactive code, so I had to copy and paste a lot of code. This solution appears to work, but given its complexity, I'm less confident that its bug free. I just can't believe that there isn't a way to accomplish this using some combination of the standard Reactive extensions. I hate feeling like I'm needlessly reinventing the wheel, and the pattern I'm trying to build seems like a fairly standard one.

    Read the article

  • Is the “jQuery programming style” a kind of Reactive programming?

    - by Peter Krauss
    jQuery is a Javascript library and framework, but when we are programming with jQuery into DOM problems/solutions, we can practice a style quite different of programming... We can read about jQuery at Wikipedia, The set of jQuery core features — DOM element selections, traversal and manipulation —, enabled by its selector engine (...), created a new "programming style", fusing algorithms and DOM-data-structures This question is similar to the "subquestion-3" of this question but not so generic. The focus here is about this new kind of "programming style"... So, the question: Is the "jQuery programming style in DOM context" a new paradign? Or it is more one example of reactive programming (not "cell-oriented" but "DOM-node oriented") or another one? We have no "standard taxonomy of paradigms", so, please, in your answer, indicate also your "best choice for Wikipedia Paradign". Example: if you understand that "jQuery programming DOM" is like "awk filtering data", your choice can be event-driven.

    Read the article

  • Type problem with Observable.Create from Boo

    - by Tristan
    I'm trying to use Reactive Extensions from Boo and am running into type problems. Here's the basic example: def OnSubscribe(observer as IObservable[of string]) as callable: print "subscribing" def Dispose(): print "disposing" return Dispose observable = System.Linq.Observable.Create[of string](OnSubscribe) observer = System.Linq.Observer.Create[of string]({x as string | print x}) observable.Subscribe(observer) The Subscribe here gives a System.InvalidCastException: Cannot cast from source type to destination type. The issue appears to be with how I'm creating the observable, but I've struggled to see where the type problem arises from. Ideas?

    Read the article

  • How to use Rx to asynchronously query Twitter search ?

    - by Jalfp
    Hi, I'm thinking about using Rx (Reactive Framework) in order to asynchronously query Twitter search API on a given keyword. The sample app I'd like to build should be able to display new tweets in the console. Do you think it is possible to do that ? Would it be simpler than using standard programming techniques ? How would you do that ? Thank ! Jeremy

    Read the article

  • Real world examples of Rx

    - by theburningmonk
    I've been playing around with the Reactive Extension for a little while now, but mostly limited to handling/composing user driven events within a WPF frontend. It's such a powerful, new way of doing async programming, and I'm curious as to what other people are doing with it, and where do you think it might be able to improve the way we're currently doing things?

    Read the article

  • Zipping Rx IObservable with infinite number set

    - by Toni Kielo
    I have a IObservable [named rows in the sample below] from Reactive extensions framework and I want to add index numbers to each object it observes. I've tried to implement this using Zip function: rows.Zip(Enumerable.Range(1, int.MaxValue), (row, index) => new { Row = row, Index = index }) .Subscribe(a => ProcessRow(a.Row, a.Index), () => Completed()); .. but unfortunately this throws ArgumentOutOfRangeException: Specified argument was out of the range of valid values. Parameter name: disposables Am I understanding the Zip function wrong or is there a problem with my code? The Range part of the code doesn't seem to be the problem and the IObservable isn't yet receiving any events.

    Read the article

  • Rx: Piecing together multiple IObservable web requests

    - by McLovin
    Hello, I'm creating multiple asynchronous web requests using IObservables and reactive extensions. So this creates observable for "GET" web request: var tweetObservalue = from request in WebRequestExtensions.CreateWebRequest(outUrl + querystring, method) from response in request.GetResponseAsync() let responseStream = response.GetResponseStream() let reader = new StreamReader(responseStream) select reader.ReadToEnd(); And I can do tweetObservable.Subscribe(response => dosomethingwithresponse(response)); What is the correct way of executing multiple asynchronous web requests with IObservables and LINQ that have to wait until other requests have been finished? For example first I would like to verify user info: create userInfoObservable, then if user info is correct I want to update stats so I get updateStatusObservable then if status is updated I would like create friendshipObservable and so on. Also bonus question, there is a case where I would like to execute web calls simultaneously and when all are finished execute another observable which will until other calls are finished. Thank you.

    Read the article

  • Will there be IQueryable-like additions to IObservable? (.NET Rx)

    - by Jason
    The new IObservable/IObserver frameworks in the System.Reactive library coming in .NET 4.0 are very exciting (see this and this link). It may be too early to speculate, but will there also be a (for lack of a better term) IQueryable-like framework built for these new interfaces as well? One particular use case would be to assist in pre-processing events at the source, rather than in the chain of the receiving calls. For example, if you have a very 'chatty' event interface, using the Subscribe().Where(...) will receive all events through the pipeline and the client does the filtering. What I am wondering is if there will be something akin to IQueryableObservable, whereby these LINQ methods will be 'compiled' into some 'smart' Subscribe implementation in a source. I can imagine certain network server architectures that could use such a framework. Or how about an add-on to SQL Server (or any RDBMS for that matter) that would allow .NET code to receive new data notifications (triggers in code) and would need those notifications filtered server-side.

    Read the article

  • System.Interactive: Difference between Memoize() and MemoizeAll()?

    - by Joel Mueller
    In System.Interactive.dll (v1.0.2521.0) from Reactive Extensions, EnumerableEx has both a Memoize method and a MemoizeAll method. The API documentation is identical for both of them: Creates an enumerable that enumerates the original enumerable only once and caches its results. However, these methods are clearly not identical. If I use Memoize, my enumerable has values the first time I enumerate it, and seems to be empty the second time. If I use MemoizeAll then I get the behavior I would expect from the description of either method - I can enumerate the result as many times as I want and get the same results each time, but the source is only enumerated once. Can anyone tell me what the intended difference between these methods is? What is the use-case for Memoize? It seems like a fairly useless method with really confusing documentation.

    Read the article

  • Get previous element in IObservable without re-evaluating the sequence

    - by dcstraw
    In an IObservable sequence (in Reactive Extensions for .NET), I'd like to get the value of the previous and current elements so that I can compare them. I found an example online similar to below which accomplishes the task: sequence.Zip(sequence.Skip(1), (prev, cur) => new { Previous = prev, Current = cur }) It works fine except that it evaluates the sequence twice, which I would like to avoid. You can see that it is being evaluated twice with this code: var debugSequence = sequence.Do(item => Debug.WriteLine("Retrieved an element from sequence")); debugSequence.Zip(debugSequence.Skip(1), (prev, cur) => new { Previous = prev, Current = cur }).Subscribe(); The output shows twice as many of the debug lines as there are elements in the sequence. I understand why this happens, but so far I haven't found an alternative that doesn't evaluate the sequence twice. How can I combine the previous and current with only one sequence evaluation?

    Read the article

  • Time flies like an arrow demo in WinForms

    - by Benjol
    Looking at the Reactive Extensions for javascript demo on Jeff Van Gogh's blog, I thought I'd give it a try in C#/Winforms, but it doesn't seem to work so well. I just threw this into the constructor of a form (with the Rx framework installed and referenced): Observable.Context = SynchronizationContext.Current; var mousemove = Observable.FromEvent<MouseEventArgs>(this, "MouseMove"); var message = "Time flies like an arrow".ToCharArray(); for(int i = 0; i < message.Length; i++) { var l = new Label() { Text = message[i].ToString(), AutoSize = true, TextAlign = ContentAlignment.MiddleCenter }; int closure = i; mousemove .Delay(closure * 150) .Subscribe(e => { l.Left = e.EventArgs.X + closure * 15 + 10; l.Top = e.EventArgs.Y; //Debug.WriteLine(l.Text); }); Controls.Add(l); } When I move the mouse, the letters seem to get moved in a random order, and if I uncomment the Debug line, I see multiple events for the same letter... Any ideas? I've tried Throttle, but it doesn't seem to make any difference. Am I just asking too much of WinForms to move all those labels around? (Cross posted on Rx Forum)

    Read the article

  • Using Rx to synchronize asynchronous events

    - by Martin Liversage
    I want to put Reactive Extensions for .NET (Rx) to good use and would like to get some input on doing some basic tasks. To illustrate what I'm trying to do I have a contrived example where I have an external component with asyncronous events: class Component { public void BeginStart() { ... } public event EventHandler Started; } The component is started by calling BeginStart(). This method returns immediately, and later, when the component has completed startup, the Started event fires. I want to create a synchronous start method by wrapping the component and wait until the Started event is fired. This is what I've come up with so far: class ComponentWrapper { readonly Component component = new Component(); void StartComponent() { var componentStarted = Observable.FromEvent<EventArgs>(this.component, "Started"); using (var startedEvent = new ManualResetEvent(false)) using (componentStarted.Take(1).Subscribe(e => { startedEvent.Set(); })) { this.componenet.BeginStart(); startedEvent.WaitOne(); } } } I would like to get rid of the ManualResetEvent, and I expect that Rx has a solution. But how?

    Read the article

  • How can I take advantage of IObservable/IObserver to get rid of my "god object"?

    - by Will
    In a system I'm currently working on, I have many components which are defined as interfaces and base classes. Each part of the system has some specific points where they interact with other parts of the system. For example, the data readying component readies some data which eventually needs to go to the data processing portion, the communications component needs to query different components for their status for relaying to the outside, etc. Currently, I glue these parts of the system together using a "god object", or an object with intimate knowledge of different parts of the system. It registers with events over here and shuttles the results to methods over there, creates a callback method here and returns the result of that method over there, and passes many requests through a multi-threaded queue for processing because it "knows" certain actions have to run on STA threads, etc. While its convenient, it concerns me that this one type knows so much about how everybody else in the system is designed. I'd much prefer a more generic hub that can be given instances which can expose events or methods or callbacks or that can consume these. I've been seeing more about the IObservable/IObserver features of the reactive framework and that are being rolled into .NET 4.0 (I believe). Can I leverage this pattern to help replace my "god object"? How should I go about doing this? Are there any resources for using this pattern for this specific purpose?

    Read the article

  • How can I dispatch an PropertyChanged event from a subscription to an Interval based IObservable

    - by James Hay
    I'm getting an 'UnauthorizedAccesExpection - Invalid cross-thread access' exception when I try to raise a PropertyChanged event from within a subscription to an IObservable collection created through Observable.Interval(). With my limited threading knowledge I'm assuming that the interval is happening on some other thread while the event wants to happen on the UI thread??? An explanation of the problem would be very useful. The code looks a little like: var subscriber = Observable.Interval(TimeSpan.FromSeconds(1)) .Subscribe(x => { Prop = x; // setting property raises a PropertyChanged event }); Any solutions?

    Read the article

  • How is IObservable<double>.Average supposed to work?

    - by Dan Tao
    Update Looks like Jon Skeet was right (big surprise!) and the issue was with my assumption about the Average extension providing a continuous average (it doesn't). For the behavior I'm after, I wrote a simple ContinuousAverage extension method, the implementation of which I am including here for the benefit of others who may want something similar: public static class ObservableExtensions { private class ContinuousAverager { private double _mean; private long _count; public ContinuousAverager() { _mean = 0.0; _count = 0L; } // undecided whether this method needs to be made thread-safe or not // seems that ought to be the responsibility of the IObservable (?) public double Add(double value) { double delta = value - _mean; _mean += (delta / (double)(++_count)); return _mean; } } public static IObservable<double> ContinousAverage(this IObservable<double> source) { var averager = new ContinuousAverager(); return source.Select(x => averager.Add(x)); } } I'm thinking of going ahead and doing something like the above for the other obvious candidates as well -- so, ContinuousCount, ContinuousSum, ContinuousMin, ContinuousMax ... perhaps ContinuousVariance and ContinuousStandardDeviation as well? Any thoughts on that? Original Question I use Rx Extensions a little bit here and there, and feel I've got the basic ideas down. Now here's something odd: I was under the impression that if I wrote this: var ticks = Observable.FromEvent<QuoteEventArgs>(MarketDataProvider, "MarketTick"); var bids = ticks .Where(e => e.EventArgs.Quote.HasBid) .Select(e => e.EventArgs.Quote.Bid); var bidsSubscription = bids.Subscribe( b => Console.WriteLine("Bid: {0}", b) ); var avgOfBids = bids.Average(); var avgOfBidsSubscription = avgOfBids.Subscribe( b => Console.WriteLine("Avg Bid: {0}", b) ); I would get two IObservable<double> objects (bids and avgOfBids); one would basically be a stream of all the market bids from my MarketDataProvider, the other would be a stream of the average of these bids. So something like this: Bid Avg Bid 1 1 2 1.5 1 1.33 2 1.5 It seems that my avgOfBids object isn't doing anything. What am I missing? I think I've probably misunderstood what Average is actually supposed to do. (This also seems to be the case for all of the aggregate-like extension methods on IObservable<T> -- e.g., Max, Count, etc.)

    Read the article

  • What are the Hot and Cold observables?

    - by Sergey Aldoukhov
    I watched the video and I know the general principles - hot happens even when nobody is subscribed, cold happens "on demand". Also, Publish() converts cold to hot and Defer() converts hot to cold. But still, I feel I am missing the details. Here are some questions I'd like to have answered: Can you give a comprehensive definition for these terms? Does it ever make sense to call Publish on hot observable or Defer on cold? Is there differences between hot and cold definitions for IObservable and IEnumerable? What are the general principles you should take into account when programming for cold or hot? Any other tips on hot/cold observables?

    Read the article

< Previous Page | 1 2 3 4 5 6 7 8  | Next Page >