SignalR return value from client method - signalr

Hello I'm developing a Server-Client application that communicate with SignalR. What I have to implement is a mechanism that will allow my server to call method on client and get a result of that call. Both applications are developed with .Net Core.
My concept is, Server invokes a method on Client providing Id of that invocation, the client executes the method and in response calls the method on the Server with method result and provided Id so the Server can match the Invocation with the result.
Usage is looking like this:
var invocationResult = await Clients
.Client(connectionId)
.GetName(id)
.AwaitInvocationResult<string>(ClientInvocationHelper._invocationResults, id);
AwaitInvocationResult - is a extension method to Task
public static Task<TResultType> AwaitInvocationResult<TResultType>(this Task invoke, ConcurrentDictionary<string, object> lookupDirectory, InvocationId id)
{
return Task.Run(() =>
{
while (!ClientInvocationHelper._invocationResults.ContainsKey(id.Value)
|| ClientInvocationHelper._invocationResults[id.Value] == null)
{
Thread.Sleep(500);
}
try
{
object data;
var stingifyData = lookupDirectory[id.Value].ToString();
//First we should check if invocation response contains exception
if (IsClientInvocationException(stingifyData, out ClientInvocationException exception))
{
throw exception;
}
if (typeof(TResultType) == typeof(string))
{
data = lookupDirectory[id.Value].ToString();
}
else
{
data = JsonConvert.DeserializeObject<TResultType>(stingifyData);
}
var result = (TResultType)data;
return Task.FromResult(result);
}
catch (Exception e)
{
Console.WriteLine(e);
throw;
}
});
}
As you can see basically I have a dictionary where key is invocation Id and value is a result of that invocation that the client can report. In a while loop I'm checking if the result is already available for server to consume, if it is, the result is converted to specific type.
This mechanism is working pretty well but I'm observing weird behaviour that I don't understand.
If I call this method with await modifier the method in Hub that is responsible to receive a result from client is never invoked.
///This method gets called by the client to return a value of specific invocation
public Task OnInvocationResult(InvocationId invocationId, object data)
{
ClientInvocationHelper._invocationResults[invocationId.Value] = data;
return Task.CompletedTask;
}
In result the while loop of AwaitInvocationResult never ends and the Hub is blocked.
Maby someone can explain this behaviour to me so I can change my approach or improve my code.

As it was mentioned in the answer by Brennan, before ASP.NET Core 5.0 SignalR connection was only able to handle one not streaming invocation of hub method at time. And since your invocation was blocked, server wasn't able to handle next invocation.
But in this case you probably can try to handle client responses in separate hub like below.
public class InvocationResultHandlerHub : Hub
{
public Task HandleResult(int invocationId, string result)
{
InvoctionHelper.SetResult(invocationId, result);
return Task.CompletedTask;
}
}
While hub method invocation is blocked, no other hub methods can be invoked by caller connection. But since client have separate connection for each hub, he will be able to invoke methods on other hubs. Probably not the best way, because client won't be able to reach first hub until response will be posted.
Other way you can try is streaming invocations. Currently SignalR doesn't await them to handle next message, so server will handle invocations and other messages between streaming calls.
You can check this behavior here in Invoke method, invocation isn't awaited when it is stream
https://github.com/dotnet/aspnetcore/blob/c8994712d8c3c982111e4f1a09061998a81d68aa/src/SignalR/server/Core/src/Internal/DefaultHubDispatcher.cs#L371
So you can try to add some dummy streaming parameter that you will not use:
public async Task TriggerRequestWithResult(string resultToSend, IAsyncEnumerable<int> stream)
{
var invocationId = InvoctionHelper.ResolveInvocationId();
await Clients.Caller.SendAsync("returnProvidedString", invocationId, resultToSend);
var result = await InvoctionHelper.ActiveWaitForInvocationResult<string>(invocationId);
Debug.WriteLine(result);
}
and on the client side you will also need to create and populate this parameter:
var stringResult = document.getElementById("syncCallString").value;
var dummySubject = new signalR.Subject();
resultsConnection.invoke("TriggerRequestWithResult", stringResult, dummySubject);
dummySubject.complete();
More details: https://learn.microsoft.com/en-us/aspnet/core/signalr/streaming?view=aspnetcore-5.0
If you can use ASP.NET Core 5, you can try to use new MaximumParallelInvocationsPerClient hub option. It will allow several invocations to execute in parallel for one connection. But if your client will call too much hub methods without providing result, connection will hang.
More details: https://learn.microsoft.com/en-us/aspnet/core/signalr/configuration?view=aspnetcore-5.0&tabs=dotnet
Actually, since returning values from client invocations isn't implemented by SignalR, maybe you can try to look into streams to return values into hubs?

This is supported in .NET 7 now https://learn.microsoft.com/en-us/aspnet/core/signalr/hubs?view=aspnetcore-7.0#client-results

By default a client can only have one hub method running at a time on the server. This means that when you wait for a result in the first hub method, the second hub method will never run since the first hub method is blocking the processing loop.
It would be better if the OnInvocationResult method ran the logic in your AwaitInvocationResult extension and the first hub method just registers the id and calls the client.

Related

Making Azure Function signalR payloads camel case

We have an HttpTriggred function according to the following code snippet:
[FunctionName("commandcompleted")]
public static Task SendMessage(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = "commandcompleted/{userId}")]
object message,
string userId,
[SignalR(HubName = Negotitate.HubName)]IAsyncCollector<SignalRMessage>
signalRMessages,
ILogger log)
{
return signalRMessages.AddAsync(
new SignalRMessage
{
UserId = userId,
Target = "CommandCompleted",
Arguments = new[] { message }
});
}
The client app which is, in fact, a signalR client receives a notification upon completion an operation once the mentioned trigger is invoked.
It's observed that the payload received by the client app is always in Pascal Case. How can we augment the function's code so that it broadcasts the payload in camel case format? Please note that decorating the object's properties by [JsonProperty("camelCasePropertyName")] is not an option and we'd like to do away from it.
The application tier which prepares message object must take care of serializing it in camel case format before submitting it to the http-triggered function.

Azure SignalR Notifications from Service Bus Qeue

We have a Service Bus queue that handles multiple message topics/subscriptions and what we'd like to be able to do is when certain messages have been handled is to notify connected users that a message has been handled.
The message handling takes place in a simple console app but we're not sure how to create a connection to our Azure SignalR service and send a message once it's been processed.
I believe the simplest most scalable approach would be to have a simple azure function to do this.
You would just have to use the Service Bus Trigger which runs your function when a message arrives and use the SignalR Service Output Binding to send the message to your users.
Your function could be as simple as the following
[FunctionName("ServiceBusQueueTriggerCSharp")]
public static void Run(
[ServiceBusTrigger("myqueue", AccessRights.Manage, Connection = "ServiceBusConnection")]
string myQueueItem,
[SignalR(HubName = "chat")]IAsyncCollector<SignalRMessage> signalRMessages
ILogger log)
{
return signalRMessages.AddAsync(
new SignalRMessage
{
Target = "newMessage",
Arguments = new [] { myQueueItem }
});
}

Scatter / Gather using Rebus

I have a requirement to a batch a number of web service calls on the receipt of a single message appearing in a (MSMQ) queue.
Is "sagas" the way to go?
The interaction with the 3rd party web service is further complicated because I need to call it once, then poll subsequently for an acknowledgement with a correlation id, returned in the reply to the initial call to the web service.
Yes, sagas could be the way to coordinate the process of initiating the call, polling until the operation has ended, and then doing something else when all the work is done.
If you don't care too much about accidentally making the web service call more than once, you can easily use Rebus' async capabilities to implement the polling - I am currently in the process of building something that basically does this:
public async Task Handle(SomeMessage message)
{
var response = await _client.Get<SomeResponse>("https://someurl") ;
var pollUrl = response.PollUrl;
var resultUrl = response.ResultUrl;
while(true)
{
var result = await _client.Get<PollResult>(pollUrl);
if (result.Status == PollStatus.Processing)
{
await Task.Delay(TimeSpan.FromSeconds(2));
continue;
}
if (result.Status == PollStatus.Done)
{
var finalResult = await _client.Get<FinalResult>(resultUrl);
return new SomeReply(finalResult);;
}
throw new Exception($"Unexpected status while polling {pollUrl}: {result.Status}")
}
}
thus taking advantage of async/await to poll the external webservice while it is processing, while consuming minimal resources in our end.

SignalR Long Running Process

I have setup a SignalR hub which has the following method:
public void SomeFunction(int SomeID)
{
try
{
Thread.Sleep(600000);
Clients.Caller.sendComplete("Complete");
}
catch (Exception ex)
{
// Exception Handling
}
finally
{
// Some Actions
}
m_Logger.Trace("*****Trying To Exit*****");
}
The issue I am having is that SignalR initiates and defaults to Server Sent Events and then hangs. Even though the function/method exits minutes later (10 minutes) the method is initiated again ( > 3 minutes) even when the sendComplete and hub.stop() methods are initiated/called on the client prior. Should the user stay on the page the initial "/send?" request stays open indefinitely. Any assistance is greatly appreciated.
To avoid blocking the method for so long, you could use a Taskand call the client method asynchronously.
public void SomeFunction(Int32 id)
{
var connectionId = this.Context.ConnectionId;
Task.Delay(600000).ContinueWith(t =>
{
var message = String.Format("The operation has completed. The ID was: {0}.", id);
var context = GlobalHost.ConnectionManager.GetHubContext<SomeHub>();
context.Clients.Client(connectionId).SendComplete(message);
});
}
Hubs are created when request arrives and destroyed after response is sent down the wire, so in the continuation task, you need to create a new context for yourself to be able to work with a client by their connection identifier, since the original hub instance will no longer be around to provide you with the Clients method.
Also note that you can leverage the nicer syntax that uses async and await keywords for describing asynchronous program flow. See examples at The ASP.NET Site's SignalR Hubs API Guide.

Some questions concerning the combination of ADO.NET, Dapper QueryAsync and Glimpse.ADO

I have been experimenting with a lightweight solution for handling my business logic. It consists of a vanilla ADO.NET connection that is extended with Dapper, and monitored by Glimpse.ADO. The use case for this setup will be a web application that has to process a handful of queries asynchronously per request. Below a simple implementation of my setup in an MVC controller.
public class CatsAndDogsController : Controller
{
public async Task<ActionResult> Index()
{
var fetchCatsTask = FetchCats(42);
var fetchDogsTask = FetchDogs(true);
await Task.WhenAll(fetchCatsTask, fetchDogsTask);
ViewBag.Cats = fetchCatsTask.Result;
ViewBag.Dogs = fetchDogsTask.Result;
return View();
}
public async Task<IEnumerable<Cat>> FetchCats(int breedId)
{
IEnumerable<Cat> result = null;
using (var connection = CreateAdoConnection())
{
await connection.OpenAsync();
result = await connection.QueryAsync<Cat>("SELECT * FROM Cat WHERE BreedId = #bid;", new { bid = breedId });
connection.Close();
}
return result;
}
public async Task<IEnumerable<Dog>> FetchDogs(bool isMale)
{
IEnumerable<Dog> result = null;
using (var connection = CreateAdoConnection())
{
await connection.OpenAsync();
result = await connection.QueryAsync<Dog>("SELECT * FROM Dog WHERE IsMale = #im;", new { im = isMale });
connection.Close();
}
return result;
}
public System.Data.Common.DbConnection CreateAdoConnection()
{
var sqlClientProviderFactory = System.Data.Common.DbProviderFactories.GetFactory("System.Data.SqlClient");
var dbConnection = sqlClientProviderFactory.CreateConnection();
dbConnection.ConnectionString = "SomeConnectionStringToAwesomeData";
return dbConnection;
}
}
I have some questions concerning the creation of the connection in the CreateAdoConnection() method. I assume the following is happening behind the scenes.
The call to sqlClientProviderFactory.CreateConnection() returns an instance of System.Data.SqlClient.SqlConnection passed as a System.Data.Common.DbConnection. At this point Glimpse.ADO.AlternateType.GlimpseDbProviderFactory kicks in and wraps this connection in an instance of Glimpse.Ado.AlternateType.GlimpseDbConnection, which is also passed as a System.Data.Common.DbConnection. Finally, this connection is indirectly extended by the Dapper library with its query methods, among them the QueryAsync<>() method used to fetch the cats and dogs.
The questions:
Is the above assumption correct?
If I use Dapper's async methods with this connection - or create a System.Data.Common.DbCommand with this connection's CreateCommand() method, and use it's async methods - will those calls internally always end up using the vanilla async implementations of these methods as Microsoft has written them for System.Data.SqlClient.SqlConnection and System.Data.SqlClient.SqlCommand? And not some other implementations of these methods that are actually blocking?
How much perf do I lose with this setup compared to just returning a new System.Data.SqlClient.SqlConnection directly? (So, without the Glimpse.ADO wrapper)
Any suggestions on improving this setup?
Yes pretty much. GlimpseDbProviderFactory wraps/decorates/proxies all the registered factories. We then pass any calls we get through to the factory we wrap (in this case SQL Server). In the case of CreateConnection() we ask the inner factory we have, to create a connection, when we get that connection, we wrap it and then return it to the originating caller
Yes. Glimpse doesn't turn what was an async request into a blocking request. We persevere the async chain all the way though. If you are interested, the code in question is here.
Very little. In essence, using a decorator pattern like this adds only one or two frames to the call stack. Compared to most operations performed during the request lifecycle, the time to observe whats happening here is extremely minimal.
What you have looks great. Only suggestion is to maybe us this code to build the factory. This code means that you can shift your connection string, etc to the web.config.

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