Skip to main content

Digging through SignalR - Commands

Looking over source code of SignalR. I found some interesting class and ways to implement different behaviors. In the next series of post I will share with you what I found interesting.
Before starting, you should know that SignalR is an open source project that can be accessed using GitHub.
In today post we will talk about command pattern. This patterns over the ability to define a “macro”/command that can be executed without knowing the caller. Commands can be handle in different ways, from create a queue of them to combining or offering support for redo/undo.
In SignalR library I found an implementation of command pattern that caught my attention.
internal interface ICommand
{
    string DisplayName { get; }
    string Help { get; }
    string[] Names { get; }
    void Execute(string[] args);
}
internal abstract class Command : ICommand
{
    public Command(Action<string> info, Action<string> success, Action<string> warning, Action<string> error)
    {
        Info = info;
        Success = success;
        Warning = warning;
        Error = error;
    }

    public abstract string DisplayName { get; }

    public abstract string Help { get; }

    public abstract string[] Names { get; }

    public abstract void Execute(string[] args);

    protected Action<string> Info { get; private set; }

    protected Action<string> Success { get; private set; }

    protected Action<string> Warning { get; private set; }

    [System.Diagnostics.CodeAnalysis.SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode", Justification = "May be used in future derivations.")]
    protected Action<string> Error { get; private set; }
}
Why? The way how the handlers for actions like success, warning, info and error are transmitted. When creating the command, you need to specify them through the construct. In this way the developer will be forced to specify them. I think that this a great and simple way to specify them. If a developer don’t want to handle this actions, that he can transmit a null value for them. This solution is better than having one or more events.
Maybe it would be pretty interesting to wrap this 4 parameters in a simple class. In this way you could have all the similar actions under the same object. Beside this we would reduce the numbers of parameters of the Command class with 3.
internal class CommandCallbackActions
{
    public CommandCallbackActions(Action<string> info, Action<string> success, Action<string> warning, Action<string> error)
    {
        Info = info;
        Success = success;
        Warning = warning;
        Error = error;
    }
    
    protected Action<string> Info { get; private set; }

    protected Action<string> Success { get; private set; }

    protected Action<string> Warning { get; private set; }

    [System.Diagnostics.CodeAnalysis.SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode", Justification = "May be used in future derivations.")]
    protected Action<string> Error { get; private set; }
}

internal abstract class Command : ICommand
{   
    public Command(CommandCallbackActions callbackActions)
    {
        CallbackActions = callbackActions;
    }

    public abstract string DisplayName { get; }

    public abstract string Help { get; }

    public abstract string[] Names { get; }

    public abstract void Execute(string[] args);

    public CommandCallbackActions CallbackActions { get; set; }
}
Another method that drew my attention was the “Execute” command. The command arguments are send through an array of string. This is a very and simple and robust way to send parameters. If this is enough for your application, than you should not change this to something more complicated. Otherwise you can replace the array of arguments with an interface (“ICommandArgs”). Each custom command can have his implementation of this interface. You should use this only if you really need, otherwise you will only make the project more complicated.

Comments

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...