How to implement delegates that are safe for async - c#

I have a Subscriber.cs that accepts an action, listens to a RabbitMQ-queue, and performs said action on any message from that queue:
public class Subscriber {
public Subscriber(Action<T> consumeMessage)
{
_consumeMessage = consumeMessage;
}
....
void HandleMessage(T message) {
try
{
_consumeMessage(message);
}
catch (Exception e)
{
_logger.LogError("Some error message");
}
}
}
This worked fine, until I (accidentally) provided an async function:
var subscriber = new Subscriber<MyMessage>(
consumeMessage: message =>
{
messageHandler.HandleAsync(message);
});
This executes the action in a 'fire and forget' fashion, which still works when it works, but fails silently when it fails.
So I tried this:
var subscriber = new Subscriber<MyMessage>(
async consumeMessage: message =>
{
await messageHandler.HandleAsync(message);
});
This of course looks pretty, but somehow causes the exception to occur in this snippet (rather than inside Subscriber) causing the whole app to crash.
So I tried this:
var subscriber = new Subscriber<MyMessage>(
consumeMessage: message =>
{
messageHandler.HandleAsync(message).GetAwaiter().GetResult();
});
This works as intended, but might lead to a deadlock (if I am to believe the internet).
It also makes my Subscriber a very unfriendly and dangerous-to-use component as it the two first examples both compile even though they don't actually work.
How should I design my Subscriber component so that it can work with async delegates safely?

Related

.NET Core GetFromJsonAsync exits with no error or debugging information

I am trying to debug a request by GetFromJsonAsync which is supposed to fetch data from a Flask API and convert to JSON within a .NET Core cli app.
The issue I am having however is that after performing the request the cli app simply exits with no error. I have tried implementing try/catch block but nothing shows up there.
the Flask endpoint builds jsonifies a number of uuids and messages from Postgres and returns them to the client.
As GetFromJsonAsync is asynchronous I have tried making the Flask endpoint likewise but that has not seemed to help at all. The latter works fine and has been validated with curl.
I know the call executes as I can see it in my web server logs.
A similar call which simply returns plain javascript object {"foo": "bar"} works fine which is why I think this could by an async issue but I cannot see any errors etc to troubleshoot. I have placed a breakpoint on the foreach after the call but this is never hit.
What am I missing here?
public static async void GetMessages()
{
ConfigureHeaders();
try
{
var client = Client;
var res = await Client.GetFromJsonAsync<Received>(Url + "/api/chat/message"); // stops here
foreach (var c in res!.messages) // breakpoint here is never hit
Console.WriteLine(c);
}
catch (Exception e)
{
Console.WriteLine(e);
throw;
}
}
public class Received
{
public Dictionary<string,string> messages { get; set; }
}
Flask
#message.get("/api/chat/message")
#csrf.exempt
async def get_messages():
new_msgs = {}
msgs = await get_unreplied() # DB gets called from another function here
try:
for m in msgs:
new_msgs[m.id] = m.message
if len(new_msgs) != 0:
return jsonify(new_msgs)
else:
return jsonify("no messages")
except Exception as e:
print(str(e))
This returns...
{
"id_foo1": "message_bar1",
"id_foo2": "message_bar2"
}
Best guess: your Main function is not awaiting the call to GetMessages
public async Task<int> Main(string []args)
{
await GetMessages();
}

Unable to return a value from SignalR Client from a different method

I'm working on a Winforms app that executes SQL Procedures through a SignalR client. I'm relatively new to using SignalR and am still wrapping my head around it.
I start off by running my connection method to establish a connection with my SignalR service. I have two addresses configured ready for when I puslish but the DEV configuration leads to the SignalR service I am hosting locally.
Connection to SignalR (ConnectHub)
private async Task ConnectHub()
{
string hubAddress = "";
#if DEBUG
HubAddress = ConfigurationManager.AppSettings["HubAddress_DEV"];
#else
HubAddress = ConfigurationManager.AppSettings["HubAddress_PROD"];
#endif
if (string.IsNullOrEmpty(hubAddress))
{
MessageBox.Show("Hub Address is missing from configuration.");
}
ConnectionHandler.Client = new HubClient(hubAddress, "MyHub");
ConnectionHandler.Client.MyAlert += ConnectionHandler.ClientOnMyAlert;
ConnectionHandler.Client.ServerErrorEvent += ConnectionHandler.ClientOnServerErrorEvent;
await ConnectionHandler.Client.Connect(new List<string>() {
VehicleInfo.ThisVehicle.WarehouseCode,
VehicleInfo.ThisVehicle.VehicleName
});
}
My client is stored globally in my ConnectionHandler class where my event handlers are also kept. (I have breakpoints on these as I have not implemented them yet)
ConnectionHandler Class
public static class ConnectionHandler
{
public static HubClient Client { get; set; }
public static void ClientOnServerErrorEvent(string error)
{
throw new NotImplementedException(); //Currently not implemented
}
public static async Task ClientOnMyAlert(EnumMyAlertType alerttype, string message, Exception exception)
{
await Task.Yield(); //Currently not implemented
}
}
When I call the code to Invoke the procedure in my SignalR client, it returns a DataTable to me which is the intended result.
Call to SignalR
await ConnectHub();
DataTable dt = await ConnectionHandler.Client.Connection.InvokeCoreAsync<DataTable>(
"FetchStatuses",
new object[0]); //This call works as intended and returns a populated DataTable
StatusInfo = new CStatuses();
All the above code is currently done on the main form, however I wanted to move this call to SignalR into a constructor to try and tidy things up.
The problem comes when I try to move this call into another method, the program hangs as I don't think it has received the return value from SignalR, I have placed a breakpoint beneath it and it is not reached. A TryCatch reveals nothing as it hangs within the "Try" with no exception.
Calling from contructor
public CStatuses()
{
Statuses = new List<CStatus>();
var dataTable = ConnectionHandler.Client.Connection.InvokeCoreAsync<DataTable>("FetchStatuses",
new object[0])
.Result; //My program hangs on this line and proceeds no further
I am at a loss as to why it is doing this when I can get a value from the client from the form and when other members of my team have tried to do the same thing they can make a call to SignalR also from a different method.
Does anyone have any ideas as to how I can make this work?
I realize this has gotten quite long but if I can elaborate on things please let me know
FIXED CODE THANKS TO SOLUTION:
I have moved the code from my CStatuses constructor into a new async method within the same class and called it after initialization. This removes the need for .Result and appears to solve the problem for me.
public async Task PopulateStatuses()
{
var dataTable = await ConnectionHandler.Client.Connection.InvokeCoreAsync<DataTable>("FetchStatuses",
new object[0]);
Statuses = new List<CStatus>();
foreach (DataRow row in dataTable.Rows)
{
var status = new CStatus
{
StatusId = Common.Utility.GetInt16Value(row["StatusID"]),
StatusCode = Common.Utility.GetStringValue(row["StatusCode"]),
Description = Common.Utility.GetStringValue(row["Description"])
};
Statuses.Add(status);
}
}
You are running into a deadlock with the .Result call, I would suggest creating an async method in the CStatuses class and after you initialize your CStatuses class call the websocket for data.

How to create a generic timeout object for various code blocks?

I have a series of code blocks that are taking too long. I don't need any finesse when it fails. In fact, I want to throw an exception when these blocks take too long, and just fall out through our standard error handling. I would prefer to NOT create methods out of each block (which are the only suggestions I've seen so far), as it would require a major rewrite of the code base.
Here's what I would LIKE to create, if possible.
public void MyMethod( ... )
{
...
using (MyTimeoutObject mto = new MyTimeoutObject(new TimeSpan(0,0,30)))
{
// Everything in here must complete within the timespan
// or mto will throw an exception. When the using block
// disposes of mto, then the timer is disabled and
// disaster is averted.
}
...
}
I've created a simple object to do this using the Timer class. (NOTE for those that like to copy/paste: THIS CODE DOES NOT WORK!!)
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Timers;
public class MyTimeoutObject : IDisposable
{
private Timer timer = null;
public MyTimeoutObject (TimeSpan ts)
{
timer = new Timer();
timer.Elapsed += timer_Elapsed;
timer.Interval = ts.TotalMilliseconds;
timer.Start();
}
void timer_Elapsed(object sender, ElapsedEventArgs e)
{
throw new TimeoutException("A code block has timed out.");
}
public void Dispose()
{
if (timer != null)
{
timer.Stop();
}
}
}
It does not work because the System.Timers.Timer class captures, absorbs and ignores any exceptions thrown within, which -- as I've discovered -- defeats my design. Any other way of creating this class/functionality without a total redesign?
This seemed so simple two hours ago, but is causing me much headache.
OK, I've spent some time on this one and I think I have a solution that will work for you without having to change your code all that much.
The following is how you would use the Timebox class that I created.
public void MyMethod( ... ) {
// some stuff
// instead of this
// using(...){ /* your code here */ }
// you can use this
var timebox = new Timebox(TimeSpan.FromSeconds(1));
timebox.Execute(() =>
{
/* your code here */
});
// some more stuff
}
Here's how Timebox works.
A Timebox object is created with a given Timespan
When Execute is called, the Timebox creates a child AppDomain to hold a TimeboxRuntime object reference, and returns a proxy to it
The TimeboxRuntime object in the child AppDomain takes an Action as input to execute within the child domain
Timebox then creates a task to call the TimeboxRuntime proxy
The task is started (and the action execution starts), and the "main" thread waits for for as long as the given TimeSpan
After the given TimeSpan (or when the task completes), the child AppDomain is unloaded whether the Action was completed or not.
A TimeoutException is thrown if action times out, otherwise if action throws an exception, it is caught by the child AppDomain and returned for the calling AppDomain to throw
A downside is that your program will need elevated enough permissions to create an AppDomain.
Here is a sample program which demonstrates how it works (I believe you can copy-paste this, if you include the correct usings). I also created this gist if you are interested.
public class Program
{
public static void Main()
{
try
{
var timebox = new Timebox(TimeSpan.FromSeconds(1));
timebox.Execute(() =>
{
// do your thing
for (var i = 0; i < 1000; i++)
{
Console.WriteLine(i);
}
});
Console.WriteLine("Didn't Time Out");
}
catch (TimeoutException e)
{
Console.WriteLine("Timed Out");
// handle it
}
catch(Exception e)
{
Console.WriteLine("Another exception was thrown in your timeboxed function");
// handle it
}
Console.WriteLine("Program Finished");
Console.ReadLine();
}
}
public class Timebox
{
private readonly TimeSpan _ts;
public Timebox(TimeSpan ts)
{
_ts = ts;
}
public void Execute(Action func)
{
AppDomain childDomain = null;
try
{
// Construct and initialize settings for a second AppDomain. Perhaps some of
// this is unnecessary but perhaps not.
var domainSetup = new AppDomainSetup()
{
ApplicationBase = AppDomain.CurrentDomain.SetupInformation.ApplicationBase,
ConfigurationFile = AppDomain.CurrentDomain.SetupInformation.ConfigurationFile,
ApplicationName = AppDomain.CurrentDomain.SetupInformation.ApplicationName,
LoaderOptimization = LoaderOptimization.MultiDomainHost
};
// Create the child AppDomain
childDomain = AppDomain.CreateDomain("Timebox Domain", null, domainSetup);
// Create an instance of the timebox runtime child AppDomain
var timeboxRuntime = (ITimeboxRuntime)childDomain.CreateInstanceAndUnwrap(
typeof(TimeboxRuntime).Assembly.FullName, typeof(TimeboxRuntime).FullName);
// Start the runtime, by passing it the function we're timboxing
Exception ex = null;
var timeoutOccurred = true;
var task = new Task(() =>
{
ex = timeboxRuntime.Run(func);
timeoutOccurred = false;
});
// start task, and wait for the alloted timespan. If the method doesn't finish
// by then, then we kill the childDomain and throw a TimeoutException
task.Start();
task.Wait(_ts);
// if the timeout occurred then we throw the exception for the caller to handle.
if(timeoutOccurred)
{
throw new TimeoutException("The child domain timed out");
}
// If no timeout occurred, then throw whatever exception was thrown
// by our child AppDomain, so that calling code "sees" the exception
// thrown by the code that it passes in.
if(ex != null)
{
throw ex;
}
}
finally
{
// kill the child domain whether or not the function has completed
if(childDomain != null) AppDomain.Unload(childDomain);
}
}
// don't strictly need this, but I prefer having an interface point to the proxy
private interface ITimeboxRuntime
{
Exception Run(Action action);
}
// Need to derive from MarshalByRefObject... proxy is returned across AppDomain boundary.
private class TimeboxRuntime : MarshalByRefObject, ITimeboxRuntime
{
public Exception Run(Action action)
{
try
{
// Nike: just do it!
action();
}
catch(Exception e)
{
// return the exception to be thrown in the calling AppDomain
return e;
}
return null;
}
}
}
EDIT:
The reason I went with an AppDomain instead of Threads or Tasks only, is because there is no bullet proof way for terminating Threads or Tasks for arbitrary code [1][2][3]. An AppDomain, for your requirements, seemed like the best approach to me.
Here's an async implementation of timeouts:
...
private readonly semaphore = new SemaphoreSlim(1,1);
...
// total time allowed here is 100ms
var tokenSource = new CancellationTokenSource(100);
try{
await WorkMethod(parameters, tokenSource.Token); // work
} catch (OperationCancelledException ocx){
// gracefully handle cancellations:
label.Text = "Operation timed out";
}
...
public async Task WorkMethod(object prm, CancellationToken ct){
try{
await sem.WaitAsync(ct); // equivalent to lock(object){...}
// synchronized work,
// call tokenSource.Token.ThrowIfCancellationRequested() or
// check tokenSource.IsCancellationRequested in long-running blocks
// and pass ct to other tasks, such as async HTTP or stream operations
} finally {
sem.Release();
}
}
NOT that I advise it, but you could pass the tokenSource instead of its Token into WorkMethod and periodically do tokenSource.CancelAfter(200) to add more time if you're certain you're not at a spot that can be dead-locked (waiting on an HTTP call) but I think that would be an esoteric approach to multithreading.
Instead your threads should be as fast as possible (minimum IO) and one thread can serialize the resources (producer) while others process a queue (consumers) if you need to deal with IO multithreading (say file compression, downloads etc) and avoid deadlock possibility altogether.
I really liked the visual idea of a using statement. However, that is not a viable solution. Why? Well, a sub-thread (the object/thread/timer within the using statement) cannot disrupt the main thread and inject an exception, thus causing it to stop what it was doing and jump to the nearest try/catch. That's what it all boils down to. The more I sat and worked with this, the more that came to light.
In short, it can't be done the way I wanted to do it.
However, I've taken Pieter's approach and mangled my code a bit. It does introduce some readability issues, but I've tried to mitigate them with comments and such.
public void MyMethod( ... )
{
...
// Placeholder for thread to kill if the action times out.
Thread threadToKill = null;
Action wrappedAction = () =>
{
// Take note of the action's thread. We may need to kill it later.
threadToKill = Thread.CurrentThread;
...
/* DO STUFF HERE */
...
};
// Now, execute the action. We'll deal with the action timeouts below.
IAsyncResult result = wrappedAction.BeginInvoke(null, null);
// Set the timeout to 10 minutes.
if (result.AsyncWaitHandle.WaitOne(10 * 60 * 1000))
{
// Everything was successful. Just clean up the invoke and get out.
wrappedAction.EndInvoke(result);
}
else
{
// We have timed out. We need to abort the thread!!
// Don't let it continue to try to do work. Something may be stuck.
threadToKill.Abort();
throw new TimeoutException("This code block timed out");
}
...
}
Since I'm doing this in three or four places per major section, this does get harder to read over. However, it works quite well.

What is the best practise for implementing an Rx handler?

I have this class for explaining my problem:
public class DataObserver: IDisposable
{
private readonly List<IDisposable> _subscriptions = new List<IDisposable>();
private readonly SomeBusinessLogicServer _server;
public DataObserver(SomeBusinessLogicServer server, IObservable<SomeData> data)
{
_server = server;
_subscriptions.Add(data.Subscribe(TryHandle));
}
private void TryHandle(SomeData data)
{
try
{
_server.MakeApiCallAsync(data).Wait();
}
catch (Exception)
{
// Handle exceptions somehow!
}
}
public void Dispose()
{
_subscriptions.ForEach(s => s.Dispose());
_subscriptions.Clear();
}
}
A) How can I avoid blocking inside the TryHandle() function?
B) How would you publish exceptions caught inside that function for handling them properly?
The Rx Design Guidelines provide a lot of useful advice when writing your own Rx operators:
http://go.microsoft.com/fwlink/?LinkID=205219
I'm sure I'll get lambasted for linking to an external article, but this link has been good for a couple of years and it's too big to republish on SO.
First, take a look at CompositeDisposable instead of re-implementing it yourself.
Other than that, there are many answers to your question. I have found that the best insight I've had when working with Rx is realizing that most cases where you want to subscribe are really just more chains in the observable you are building and you don't really want to subscribe but instead want to apply yet another transform to the incoming observable. And let some code that is further "on the edge of the system" and has more knowledge of how to handle errors do the actual subscribing
In the example you have presented:
A) Don't block by just transforming the IObservable<SomeData> into an IObservable<Task> (which is really better expressed as an IObservable<IObservable<Unit>>).
B) Publish exceptions by just ending the observable with an error or, if you don't want the exception to end the observable, exposing an IObservable<Exception>.
Here's how I'd re-write your example, assuming you did not want the stream to end on error, but instead just keep running after reporting the errors:
public static class DataObserver
{
public static IObservable<Exception> ApplyLogic(this IObservable<SomeData> source, SomeBusinessLogicServer server)
{
return source
.Select(data =>
{
// execute the async method as an observable<Unit>
// ignore its results, but capture its error (if any) and yield it.
return Observable
.FromAsync(() => server.MakeApiCallAsync(data))
.IgnoreElements()
.Select(_ => (Exception)null) // to cast from IObservable<Unit> to IObservable<Exception>
.Catch((Exception e) => Observable.Return(e));
})
// runs the Api calls sequentially (so they will not run concurrently)
// If you prefer to let the calls run in parallel, then use
// .Merge() instead of .Concat()
.Concat() ;
}
}
// Usage (in Main() perhaps)
IObservable<SomeData> dataStream = ...;
var subscription = dataStream.ApplyLogic(server).Subscribe(error =>
{
Console.WriteLine("An error occurred processing a dataItem: {0}", error);
}, fatalError =>
{
Console.WriteLine("A fatal error occurred retrieving data from the dataStream: {0}", fatalError);
});

Catching an exception thrown in an asynchronous callback

I have a method that takes a callback argument to execute asynchronously, but the catch block doesn't seem to be catching any exceptions thrown by the synchronous call (this.Submit refers to a synchronous method).
public void Submit(FileInfo file, AnswerHandler callback)
{
SubmitFileDelegate submitDelegate = new SubmitFileDelegate(this.Submit);
submitDelegate.BeginInvoke(file, (IAsyncResult ar) =>
{
string result = submitDelegate.EndInvoke(ar);
callback(result);
}, null);
}
Is there a way to catch the exception thrown by the new thread and send it to the original thread? Also, is this the "proper" way to handle async exceptions? I wrote my code so it could be called like this (assuming the exception issue is fixed):
try
{
target.Submit(file, (response) =>
{
// do stuff
});
}
catch (Exception ex)
{
// catch stuff
}
but is there a more proper or elegant way to do this?
If you're targeting .NET 4.0, you can utilize the new Task Parallel Library, and observe the Task object's Exception property.
public Task Submit(FileInfo file)
{
return Task.Factory.StartNew(() => DoSomething(file));
}
private void DoSomething(FileInfo file)
{
throw new Exception();
}
Then use it like this:
Submit(myFileInfo).ContinueWith(task =>
{
// Check task.Exception for any exceptions.
// Do stuff with task.Result
});
where DoSomething is the method you'd like call asynchronously, and the delegate you pass to ContinueWith is your callback.
More information about exception handling in TPL can be found here: http://msdn.microsoft.com/en-us/library/dd997415.aspx
This is not a 'best practice' solution, but I think it's a simple one that should work.
Instead of having the delegate defined as
private delegate string SubmitFileDelegate(FileInfo file);
define it as
private delegate SubmitFileResult SubmitFileDelegate(FileInfo file);
and define the SubmitFileResult as follows:
public class SubmitFileResult
{
public string Result;
public Exception Exception;
}
Then, the method that actually does the file submission (not shown in the question) should be defined like this:
private static SubmitFileResult Submit(FileInfo file)
{
try
{
var submissionResult = ComplexSubmitFileMethod();
return new SubmitFileResult { Result = submissionResult };
}
catch (Exception ex)
{
return new SubmitFileResult {Exception = ex, Result = "ERROR"};
}
}
This way, you'll examine the result object, see if it has the Result or the Exception field set, and act accordingly.
In short, no.
When you call submitDelegate.BeginInvoke, it spawns the new thread, returns, and promptly exits your try/catch block (while the new thread runs in the background).
You could, however, catch all unhandled exceptions like this:
AppDomain.CurrentDomain.UnhandledException += new UnhandledExceptionEventHandler(YourException);
This will catch everything in the application domain, however (not just your async method).

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