# Monday, February 08, 2010

As part of the Copenhagen .NET User Group (CNUG) winter and early autumn schedule, I’ll be giving a talk on (slightly advanced) TDD.

The talk will be in Danish and takes place April 15th, 2010. More details and sign-up here.

posted on Monday, February 08, 2010 8:15:41 PM (Romance Standard Time, UTC+01:00)  #    Comments [0] Trackback
# Wednesday, February 03, 2010

Service Locator is a well-known pattern, and since it was described by Martin Fowler, it must be good, right?

No, it’s actually an anti-pattern and should be avoided.

Let’s examine why this is so. In short, the problem with Service Locator is that it hides a class’ dependencies, causing run-time errors instead of compile-time errors, as well as making the code more difficult to maintain because it becomes unclear when you would be introducing a breaking change.

OrderProcessor example

As an example, let’s pick a hot topic in DI these days: an OrderProcessor. To process an order, the OrderProcessor must validate the order and ship it if valid. Here’s an example using a static Service Locator:

public class OrderProcessor : IOrderProcessor
{
    public void Process(Order order)
    {
        var validator = Locator.Resolve<IOrderValidator>();
        if (validator.Validate(order))
        {
            var shipper = Locator.Resolve<IOrderShipper>();
            shipper.Ship(order);
        }
    }
}

The Service Locator is used as a replacement for the new operator. It looks like this:

public static class Locator
{
    private readonly static Dictionary<Type, Func<object>>
        services = new Dictionary<Type, Func<object>>();
 
    public static void Register<T>(Func<T> resolver)
    {
        Locator.services[typeof(T)] = () => resolver();
    }
 
    public static T Resolve<T>()
    {
        return (T)Locator.services[typeof(T)]();
    }
 
    public static void Reset()
    {
        Locator.services.Clear();
    }
}

We can configure the Locator using the Register method. A ‘real’ Service Locator implementation would be much more advanced than this, but this example captures the gist of it.

This is flexible and extensible, and it even supports replacing services with Test Doubles, as we will see shortly.

Given that, then what could be the problem?

API usage issues

Let’s assume for a moment that we are simply consumers of the OrderProcessor class. We didn’t write it ourselves, it was given to us in an assembly by a third party, and we have yet to look at it in Reflector.

This is what we get from IntelliSense in Visual Studio:

image

Okay, so the class has a default constructor. That means I can simply create a new instance of it and invoke the Process method right away:

var order = new Order();
var sut = new OrderProcessor();
sut.Process(order);

Alas, running this code surprisingly throws a KeyNotFoundException because the IOrderValidator was never registered with Locator. This is not only surprising, it may be quite baffling if we don’t have access to the source code.

By perusing the source code (or using Reflector) or consulting the documentation (ick!) we may finally discover that we need to register an IOrderValidator instance with Locator (a completely unrelated static class) before this will work.

In a unit test test, this can be done like this:

var validatorStub = new Mock<IOrderValidator>();
validatorStub.Setup(v => v.Validate(order)).Returns(false);
Locator.Register(() => validatorStub.Object);

What is even more annoying is that because the Locator’s internal store is static, we need to invoke the Reset method after each unit test, but granted: that is mainly a unit testing issue.

All in all, however, we can’t reasonably claim that this sort of API provides a positive developer experience.

Maintenance issues

While this use of Service Locator is problematic from the consumer’s point of view, what seems easy soon becomes an issue for the maintenance developer as well.

Let’s say that we need to expand the behavior of OrderProcessor to also invoke the IOrderCollector.Collect method. This is easily done, or is it?

public void Process(Order order)
{
    var validator = Locator.Resolve<IOrderValidator>();
    if (validator.Validate(order))
    {
        var collector = Locator.Resolve<IOrderCollector>();
        collector.Collect(order);
        var shipper = Locator.Resolve<IOrderShipper>();
        shipper.Ship(order);
    }
}

From a pure mechanistic point of view, that was easy – we simply added a new call to Locator.Resolve and invoke IOrderCollector.Collect.

Was this a breaking change?

This can be surprisingly hard to answer. It certainly compiled fine, but broke one of my unit tests. What happens in a production application? The IOrderCollector interface may already be registered with the Service Locator because it is already in use by other components, in which case it will work without a hitch. On the other hand, this may not be the case.

The bottom line is that it becomes a lot harder to tell whether you are introducing a breaking change or not. You need to understand the entire application in which the Service Locator is being used, and the compiler is not going to help you.

Variation: Concrete Service Locator

Can we fix these issues in some way?

One variation commonly encountered is to make the Service Locator a concrete class, used like this:

public void Process(Order order)
{
    var locator = new Locator();
    var validator = locator.Resolve<IOrderValidator>();
    if (validator.Validate(order))
    {
        var shipper = locator.Resolve<IOrderShipper>();
        shipper.Ship(order);
    }
}

However, to be configured, it still needs a static in-memory store:

public class Locator
{
    private readonly static Dictionary<Type, Func<object>>
        services = new Dictionary<Type, Func<object>>();
 
    public static void Register<T>(Func<T> resolver)
    {
        Locator.services[typeof(T)] = () => resolver();
    }
 
    public T Resolve<T>()
    {
        return (T)Locator.services[typeof(T)]();
    }
 
    public static void Reset()
    {
        Locator.services.Clear();
    }
}

In other words: there’s no structural difference between the concrete Service Locator and the static Service Locator we already reviewed. It has the same issues and solves nothing.

Variation: Abstract Service Locator

A different variation seems more in line with true DI: the Service Locator is a concrete class implementing an interface.

public interface IServiceLocator
{
    T Resolve<T>();
}
 
public class Locator : IServiceLocator
{
    private readonly Dictionary<Type, Func<object>> services;
 
    public Locator()
    {
        this.services = new Dictionary<Type, Func<object>>();
    }
 
    public void Register<T>(Func<T> resolver)
    {
        this.services[typeof(T)] = () => resolver();
    }
 
    public T Resolve<T>()
    {
        return (T)this.services[typeof(T)]();
    }
}

With this variation it becomes necessary to inject the Service Locator into the consumer. Constructor Injection is always a good choice for injecting dependencies, so OrderProcessor morphs into this implementation:

public class OrderProcessor : IOrderProcessor
{
    private readonly IServiceLocator locator;
 
    public OrderProcessor(IServiceLocator locator)
    {
        if (locator == null)
        {
            throw new ArgumentNullException("locator");
        }
 
        this.locator = locator;
    }
 
    public void Process(Order order)
    {
        var validator = 
            this.locator.Resolve<IOrderValidator>();
        if (validator.Validate(order))
        {
            var shipper =
                this.locator.Resolve<IOrderShipper>();
            shipper.Ship(order);
        }
    }
}

Is this good, then?

From a developer perspective, we now get a bit of help from IntelliSense:

image

What does this tell us? Nothing much, really. Okay, so OrderProcessor needs a ServiceLocator – that’s a bit more information than before, but it still doesn’t tell us which services are needed. The following code compiles, but crashes with the same KeyNotFoundException as before:

var order = new Order();
var locator = new Locator();
var sut = new OrderProcessor(locator);
sut.Process(order);

From the maintenance developer’s point of view, things don’t improve much either. We still get no help if we need to add a new dependency: is it a breaking change or not? Just as hard to tell as before.

Summary

The problem with using a Service Locator isn’t that you take a dependency on a particular Service Locator implementation (although that may be a problem as well), but that it’s a bona-fide anti-pattern. It will give consumers of your API a horrible developer experience, and it will make your life as a maintenance developer worse because you will need to use considerable amounts of brain power to grasp the implications of every change you make.

The compiler can offer both consumers and producers so much help when Constructor Injection is used, but none of that assistance is available for APIs that rely on Service Locator.

You can read more about DI patterns and anti-patterns in my upcoming book.

posted on Wednesday, February 03, 2010 10:49:39 PM (Romance Standard Time, UTC+01:00)  #    Comments [37] Trackback
# Tuesday, February 02, 2010

In a follow-up to his earlier post on Constructor Over-Injection, Jeffrey Palermo changes his stance on Constructor Over-Injection from anti-pattern to the more palatable code smell. In this post I introduce the concept of a Facade Service and outline a refactoring that addresses this code smell.

If I should extract a core message from Jeffrey Palermo’s blog post it would be that it’s a code smell if you have a class that takes too many dependencies in its constructor.

I can only agree, but only so far as it’s a code smell. However, it has nothing to do with DI in general or Constructor Injection specifically. Rather, it’s a smell that indicates a violation of the Single Responsibility Principle (SRP). Let’s review the example constructor:

public OrderProcessor(IOrderValidator validator,
                      IOrderShipper shipper,
                      IAccountsReceivable receivable,
                      IRateExchange exchange,
                      IUserContext userContext)

In this version, I even added IOrderShipper back in as I described in my earlier post. Surely, five constructor parameters are too many.

Constructor Injection makes SRP violations glaringly obvious.

What’s not to like? My personal threshold lies somewhere around 3-4 constructor parameters, so whenever I hit three, I start to consider if I could perhaps aggregate some of the dependencies into a new type.

I call such a type a Facade Service. It’s closely related to Parameter Objects, but the main difference is that a Parameter Object only moves the parameters to a common root, while a Facade Service hides the aggregate behavior behind a new abstraction. While the Facade Service may start its life as a result of a pure mechanistic refactoring, it often turns out that the extracted behavior represents a Domain Concept in its own right. Congratulations: you’ve just move a little closer to adhering to the SRP!

Let’s look at Jeffrey Palermo’s OrderProcessor example. The core implementation of the class is reproduced here (recall that in my version, IOrderShipper is also an injected dependency):

public SuccessResult Process(Order order)
{
    bool isValid = _validator.Validate(order);
    if (isValid)
    {
        Collect(order);
        _shipper.Ship(order);
    }
 
    return CreateStatus(isValid);
}
 
private void Collect(Order order)
{
    User user = _userContext.GetCurrentUser();
    Price price = order.GetPrice(_exchange, _userContext);
    _receivable.Collect(user, price);
}

If you examine the code it should quickly become apparent that the Collect method encapsulates a cluster of dependencies: IAccountsReceivable, IRateExchange and IUserContext. In this case it’s pretty obvious because they are already encapsulated in a single private method. In real production code, you may need to perform a series of internal refactorings before a pattern starts to emerge and you can extract an interface that aggregates several dependencies.

Now that we have identified the cluster of dependencies, we can extract an interface that closely resembles the Collect method:

public interface IOrderCollector
{
    void Collect(Order order);
}

In lieu of a better name, I simply chose to call it IOrderCollector, but what’s interesting about extracting Facade Services is that over time, they often turn out to be previously implicit Domain Concepts that we have now dragged out in the open and made explicit.

We can now inject IOrderCollector into OrderProcessor and change the implementation of the private Collect method:

private void Collect(Order order)
{
    _collector.Collect(order);
}

Next, we can remove the redundant dependencies, leaving us with this constructor:

public OrderProcessor(IOrderValidator validator,
                      IOrderShipper shipper,
                      IOrderCollector collector)

With three constructor parameters it’s much more acceptable, but we can always consider repeating the procedure and extract a new Facade Service that aggregates IOrderShipper and IOrderCollector.

The original behavior from the Collect method is still required, but is now implemented in the OrderCollector class:

public class OrderCollector : IOrderCollector
{
    private readonly IUserContext _userContext;
    private readonly IRateExchange _exchange;
    private readonly IAccountsReceivable _receivable;
 
    public OrderCollector(IAccountsReceivable receivable,
                          IRateExchange exchange,
                          IUserContext userContext)
    {
        _receivable = receivable;
        _exchange = exchange;
        _userContext = userContext;
    }
 
    #region IOrderCollector Members
 
    public void Collect(Order order)
    {
        User user = _userContext.GetCurrentUser();
        Price price = 
            order.GetPrice(_exchange, _userContext);
        _receivable.Collect(user, price);
    }
 
    #endregion
}

Here’s another class with three constructor parameters, which falls within the reasonable range. However, once again, we can begin to consider whether the interaction between IUserContext and the Order could be better modeled.

In outline form, the Introduce Facade Service refactoring follows these steps:

  1. Analyze how dependencies interact to identify clusters of behavior.
  2. Extract an interface from these clusters.
  3. Copy the original implementation to a class that implements the new interface.
  4. Inject the new interface into the consumer.
  5. Replace the original implementation with a call the new dependency.
  6. Remove the redundant dependencies.
  7. Rinse and repeat :)

The beauty of Facade Services is that we can keep wrapping one Facade Service in new Facade Services to define more and more coarse-grained building blocks as we get closer and closer to the application boundary.

Keeping each class and its dependencies to simple interactions also makes it much easier to unit test all of them because none of them do anything particularly complex.

Adhering strictly to Constructor Injection makes it easy to see when one violates the SRP and should refactor to an Facade Service.

Update (2011.04.10): In my book I've changed the name of this concept to Facade Service as it more clearly communicates the relationship with the Facade pattern.

Last modified (2011.08.23): Changed all references to Aggregate Service (the old name of the concept) to Facade Service.

posted on Tuesday, February 02, 2010 9:56:44 PM (Romance Standard Time, UTC+01:00)  #    Comments [5] Trackback