Let's assume we have a simple payment feature on an online shop. We want to manage different transactions with different processors of transactions:
A transaction can be a payment or a refund.
A processor of transactions can be Paypal or Payplug.
So we have the following classes:
class PaymentTransaction implements Transaction {
}
class RefundTransaction implements Transaction {
}
class PaypalProcessor implements Processor {
}
class PayplugProcessor implements Processor {
}
What should be a good understanding of OOP?
Processor.process(transaction);
or
Transaction.process(processor);
For example, if we take the example 1, how to avoid the following switch statement?
class PaypalProcessor {
function process(Transaction transaction) {
switch(transaction.getType()) {
case payment:
//..
break;
case refund:
//..
}
}
In all cases, how to manage a "nested" polymorphism, a strategy or something else to be able to manage the different transactions with the different processors?
PS: if the title is not appropriate, tell me I will edit it.
You seem to be on the right track. What you need is a third class for performing the operations (sample code in Java for the sake of discussion) :
class PaymentProcessor {
private Processor processor;
private Transaction transaction;
public PaymentProcessor(Processor processor, Transaction transaction) {
this.processor = processor;
this.transaction = transaction;
}
public void processPayment() {
processor.process(transaction);
}
}
You can then inject the appropriate implementation of Processor and Transaction into the PaymentProcessor :
PaymentProcessor paymentProcessor = new PaymentProcessor(new PayPalDepositProcess(),new PaypalDepositTransaction());
PaymentProcessor refundProcessor = new PaymentProcessor(new PayPalRefundProcess(),new PayPalRefundTransaction());
Notice how you're PaymentProcessor can be passed different combinations of a Processor and Transaction without the need to have a switch statement.
Note that processor.process(transaction); sounds more intuitive than transaction.process(processor). Also note that you can consider using the Abstract Factory pattern here since you seem to be creating a family of related objects (different types of processors that process different types of transactions)
I would make transaction object responsible for both processing payment and refunds.
interface Transaction
{
public function pay();
public function refund();
}
Then you'd have concrete ones like this:
class PaypalTransaction implements Transaction
{
public function pay()
{
//process payment in a paypale way
}
public function refund()
{
//process refund in a paypale way
}
}
class PayplugTransaction implements Transaction
{
public function pay()
{
//process payment the way Payplug do
}
public function refund()
{
//process refund the way Payplug do
}
}
Client code that would process transaction payment might look like this:
$customer = new Customer();
//concrete factory producing an abstract product (transaction)
$transaction = $customer->prepareTransaction('100 USD');
//process payment
$transaction->pay();
//in a similar fashion you would go about processing a refund
$transaction->refund();
Notice how the client code is kept in the dark about the concrete way money is transferred (implementation details, paypal or payplug). In other words the client is processing transactions polymorphically because it is coded to an abstract rather than a concrete object.
Customer in this example is the concrete factory for the client code:
class Customer implements Shopper
{
/**
* #param string $amount
* #return Transaction
*/
public function prepareTransaction($amount)
{
//use either paypal or payplug depending on the customer's preference
}
}
if the client was coded in a way it expects to work with an abstract object (e.g. "Shopper") then we'd have an appearance of an Abstract Factory pattern.
interface Shopper
{
/**
* #param string $amount
* #return Transaction
*/
public function prepareTransaction($amount);
}
Related
I will start off by saying I've read through quite a few of the questions that ask about avoiding instanceof but I couldn't really see any that quite fit the bill for what we're seeing. Please let me know if you do see any that address this specific point though!
There's an issue we're facing now where we have a class that is responsible for holding information about actions to be taken at particular times. These times can be of a single action or recurring over some period. There's one field we have (duration of an action) that is only valid for recurring actions. We initially had an Enum for the time type and a separate field for the duration as a part of a single class.
class Action {
long duration;
Enum timeType;
}
Change to:
class Action {
TimeTypeStrategy timeTypeStrategy;
}
class RecurringTimeTypeStrategy extends TimeTypeStrategy {
long duration
}
class SingleTimeTypeStrategy extend TimeTypeStrategy {
}
abstract class TimeTypeStrategy {
}
So with this modified code, we can essentially say that we can only even have one type or the other and that duration can only be a property of the recurring time type. However, this also means that whenever we want to action (or other classes that use action) to handle it based on its recurring time type, it needs to call instanceof on the timeTypeStrategy field to actually retrieve the duration and do whatever scheduling it needs.
One thought was that moving the effort of deciding what it means to be a particular time type can be brought up into the strategy itself. It feels like it should just based off of the name too but that requires changing some of the scheduling code by a fair amount and ends up breaking some of the paradigm that's been developed in just developing these schedules. Maybe that is the solution we need but it feels like it shouldn't be the only one.
As far as design patterns, is there a better method that doesn't lead to an instanceof code smell that allows the caller to decide what to do based on these fields?
I think what you are looking for is Visitor design pattern. You could have the following class hierarchy:
abstract class Action {
Enum timeType;
abstract void Accept(IVisitor visitor);
}
class SingleAction extends Action {
override void Accept(IVisitor visitor) {
visitor.Visit(this);
}
}
class RepeatedAction extends Action {
long duration;
override void Accept(IVisitor visitor) {
visitor.Visit(this);
}
}
Then you could have a visitor interface:
interface IVisitor {
void Visit(SingleAction action);
void Visit(RepeatedAction action);
}
and the visitor implementation:
class ActionVisitor implements IVisitor {
void Visit(SingleAction action) {
// Execute the action
}
void Visit(RepeatedAction action) {
// Here you can access action.duration and schedule the action
}
}
I have spent the last day trying to work out which pattern best fits my specific scenario and I have been tossing up between the State Pattern & Strategy pattern. When I read examples on the Internet it makes perfect sense... but it's another skill trying to actually apply it to your own problem. I will describe my scenario and the problem I am facing and hopefully someone can point me in the right direction.
Problem: I have a base object that has different synchronization states: i.e. Latest, Old, Never Published, Unpublished etc. Now depending on what state the object is in the behaviour is different, for example you cannot get the latest version for a base object that has never been published. At this point it seems the State design pattern is best suited... so I have implemented it and now each state has methods such as CanGetLatestVersion, GetLatestVersion, CanPublish, Publish etc.
It all seems good at this point. But lets say you have 10 different child objects that derive from the base class... my solution is broken because when the "publish" method is executed for each state it needs properties in the child object to actually carry out the operation but each state only has a reference to the base object. I have just spent some time creating a sample project illustrating my problem in C#.
public class BaseDocument
{
private IDocumentState _documentState;
public BaseDocument(IDocumentState documentState)
{
_documentState = documentState;
}
public bool CanGetLatestVersion()
{
return _documentState.CanGetLatestVersion(this);
}
public void GetLatestVersion()
{
if(CanGetLatestVersion())
_documentState.CanGetLatestVersion(this);
}
public bool CanPublish()
{
return _documentState.CanPublish(this);
}
public void Publish()
{
if (CanPublish())
_documentState.Publish(this);
}
internal void Change(IDocumentState documentState)
{
_documentState = documentState;
}
}
public class DocumentSubtype1 : BaseDocument
{
public string NeedThisData { get; set; }
}
public class DocumentSubtype2 : BaseDocument
{
public string NeedThisData1 { get; set; }
public string NeedThisData2 { get; set; }
}
public interface IDocumentState
{
bool CanGetLatestVersion(BaseDocument baseDocument);
void GetLatestVersion(BaseDocument baseDocument);
bool CanPublish(BaseDocument baseDocument);
bool Publish(BaseDocument baseDocument);
SynchronizationStatus Status { get; set; }
}
public class LatestState : IDocumentState
{
public bool CanGetLatestVersion(BaseDocument baseDocument)
{
return false;
}
public void GetLatestVersion(BaseDocument baseDocument)
{
throw new Exception();
}
public bool CanPublish(BaseDocument baseDocument)
{
return true;
}
public bool Publish(BaseDocument baseDocument)
{
//ISSUE HERE... I need to access the properties in the the DocumentSubtype1 or DocumentSubType2 class.
}
public SynchronizationStatus Status
{
get
{
return SynchronizationStatus.LatestState;
}
}
}
public enum SynchronizationStatus
{
NeverPublishedState,
LatestState,
OldState,
UnpublishedChangesState,
NoSynchronizationState
}
I then thought about implementing the state for each child object... which would work but I would need to create 50 classes i.e. (10 children x 5 different states) and that just seems absolute crazy... hence why I am here !
Any help would be greatly appreciated. If it is confusing please let me know so I can clarify!
Cheers
Let's rethink this, entirely.
1) You have a local 'Handle', to some data which you don't really own. (Some of it is stored, or published, elsewhere).
2) Maybe the Handle, is what we called the 'State' before -- a simple common API, without the implementation details.
3) Rather than 'CanPublish', 'GetLatestVersion' delegating from the BaseDocument to State -- it sounds like the Handle should delegate, to the specific DocumentStorage implementation.
4) When representing external States or Storage Locations, use of a separate object is ideal for encapsulating the New/Existent/Deletion state & identifier, in that storage location.
5) I'm not sure if 'Versions' is part of 'Published Location'; or if they're two independent storage locations. Our handle needs a 'Storage State' representation for each independent location, which it will store to/from.
For example:
Handle
- has 1 LocalCopy with states (LOADED, NOT_LOADED)
- has 1 PublicationLocation with Remote URL and states (NEW, EXIST, UPDATE, DELETE)
Handle.getVersions() then delegates to PublicationLocation.
Handle.getCurrent() loads a LocalCopy (cached), from PublicationLocation.
Handle.setCurrent() sets a LocalCopy and sets Publication state to UPDATE.
(or executes the update immediately, whichever.)
Remote Storage Locations/ Transports can be subtyped for different methods of accessing, or LocalCopy/ Document can be subtyped for different types of content.
THIS, I AM PRETTY SURE, IS THE MORE CORRECT SOLUTION.
[Previously] Keep 'State' somewhat separate from your 'Document' object (let's call it Document, since we need to call it something -- and you didn't specify.)
Build your heirarchy from BaseDocument down, have a BaseDocument.State member, and create the State objects with a reference to their Document instance -- so they have access to & can work with the details.
Essentially:
BaseDocument <--friend--> State
Document subtypes inherit from BaseDocument.
protected methods & members in Document heirarchy, enable State to do whatever it needs to.
Hope this helps.
Many design patterns can be used to this kind of architecture problem. It is unfortunate that you do not give the example of how you do the publish. However, I will state some of the good designs:
Put the additional parameters to the base document and make it
nullable. If not used in a document, then it is null. Otherwise, it
has value. You won't need inheritance here.
Do not put the Publish method to the DocumentState, put in the
BaseDocument instead. Logically, the Publish method must be part
of BaseDocument instead of the DocumentState.
Let other service class to handle the Publishing (publisher
service). You can achieve it by using abstract factory pattern. This
way, you need to create 1:1 document : publisher object. It may be
much, but you has a freedom to modify each document's publisher.
public interface IPublisher<T> where T : BaseDocument
{
bool Publish(T document);
}
public interface IPublisherFactory
{
bool Publish(BaseDocument document);
}
public class PublisherFactory : IPublisherFactory
{
public PublisherFactory(
IPublisher<BaseDocument> basePublisher
, IPublisher<SubDocument1> sub1Publisher)
{
this.sub1Publisher = sub1Publisher;
this.basePublisher = basePublisher;
}
IPublisher<BaseDocument> basePublisher;
IPublisher<SubDocument1> sub1Publisher;
public bool Publish(BaseDocument document)
{
if(document is SubDocument1)
{
return sub1Publisher.Publish((SubDocument1)document);
}
else if (document is BaseDocument)
{
return basePublisher.Publish(document);
}
return false;
}
}
public class LatestState : IDocumentState
{
public LatestState(IPublisherFactory factory)
{
this.factory = factory;
}
IPublisherFactory factory;
public bool Publish(BaseDocument baseDocument)
{
factory.Publish(baseDocument);
}
}
Use Composition over inheritance. You design each interface to each state, then compose it in the document. In summary, you can has 5 CanGetLatestVersion and other composition class, but 10 publisher composition class.
More advancedly and based on the repository you use, maybe you can use Visitor pattern. This way, you can has a freedom to modify each publishing methods. It is similiar to my point 3, except it being declared in one class. For example:
public class BaseDocument
{
}
public class SubDocument1 : BaseDocument
{
}
public class DocumentPublisher
{
public void Publish(BaseDocument document)
{
}
public void Publish(SubDocument1 document)
{
// do the prerequisite
Publish((BaseDocument)document);
// do the postrequisite
}
}
There may be other designs available but it is dependent to how you access your repository.
Let's say I have the following method that, given a PaymentType, sends an appropriate payment request to each facility from which the payment needs to be withdrawn:
public void SendRequestToPaymentFacility(PaymentType payment) {
if(payment is CreditCard) {
SendRequestToCreditCardProcessingCenter();
} else if(payment is BankAccount) {
SendRequestToBank();
} else if(payment is PawnTicket) {
SendRequestToPawnShop();
}
}
Obviously this is a code smell, but when looking for an appropriate refactoring, the only examples I have seen involve cases where the code executed within the conditionals are clearly the responsibility of the class itself, e.g. with the standard example given:
public double GetArea(Shape shape) {
if(shape is Circle) {
Circle circle = shape As Circle;
return circle.PI * (circle.radius * circle.radius);
} else if(shape is Square) {
Square square = shape as Square;
return square.length * square.width;
}
}
GetArea() seems like a pretty reasonable responsibility for each Shape subclass, and can of course be refactored nicely:
public class Shape
{
/* ... */
public abstract double GetArea();
}
public class Circle
{
public override double GetArea()
{
return PI * (radius * radius);
}
}
However, SendRequestToPaymentFacility() does not seem like an appropriate responsibility for a PaymentType to have. (and would seem to violate the Single Responsibility Principle). And yet I need to send a request to an appropriate PaymentFacility based on the type of PaymentType - what is the best way to do this?
You could consider adding a property or method to your CandyBar class which indicates whether or not the CandyBar contains nuts. Now your GetProcessingPlant() method does not have to have knowledge of the different types of CandyBars.
public ProcessingPlant GetProcessingPlant(CandyBar candyBar) {
if(candyBar.ContainsNuts) {
return new NutProcessingPlant();
} else {
return new RegularProcessingPlant();
}
}
One option would be to add an IPaymentFacility interface parameter to the constructors for the individual PaymentType descendants. The base PaymentType could have an abstract PaymentFacility property; SendRequestToPaymentFacility on the base type would delegate:
public abstract class PaymentType
{
protected abstract IPaymentFacility PaymentFacility { get; }
public void SendRequestToPaymentFacility()
{
PaymentFacility.Process(this);
}
}
public interface IPaymentFacility
{
void Process(PaymentType paymentType);
}
public class BankAccount : PaymentType
{
public BankAccount(IPaymentFacility paymentFacility)
{
_paymentFacility = paymentFacility;
}
protected override IPaymentFacility PaymentFacility
{
get { return _paymentFacility; }
}
private readonly IPaymentFacility _paymentFacility;
}
Rather than wiring up the dependency injection manually, you could use a DI/IoC Container library. Configure it so that a BankAccount got a Bank, etc.
The downside is that the payment facilities would only have access to the public (or possibly internal) members of the base-class PaymentType.
Edit:
You can actually get at the descendant class members by using generics. Either make SendRequestToPaymentFacility abstract (getting rid of the abstract property), or get fancy:
public abstract class PaymentType<TPaymentType>
where TPaymentType : PaymentType<TPaymentType>
{
protected abstract IPaymentFacility<TPaymentType> PaymentFacility { get; }
public void SendRequestToPaymentFacility()
{
PaymentFacility.Process((TPaymentType) this);
}
}
public class BankAccount : PaymentType<BankAccount>
{
public BankAccount(IPaymentFacility<BankAccount> paymentFacility)
{
_paymentFacility = paymentFacility;
}
protected override IPaymentFacility<BankAccount> PaymentFacility
{
get { return _paymentFacility; }
}
private readonly IPaymentFacility<BankAccount> _paymentFacility;
}
public interface IPaymentFacility<TPaymentType>
where TPaymentType : PaymentType<TPaymentType>
{
void Process(TPaymentType paymentType);
}
public class Bank : IPaymentFacility<BankAccount>
{
public void Process(BankAccount paymentType)
{
}
}
The downside here is coupling the Bank to the BankAccount class.
Also, Eric Lippert discourages this, and he makes some excellent points.
One approach you can take here is to use the Command pattern. In this case, you would create and queue up the appropriate command (e.g. Credit Card, Bank Account, Pawn Ticket) rather than calling a particular method. Then you could have separate command processors for each command that would take the appropriate action.
If you don't want the conditional complexity here, you could raise a single type of command that included the payment type as a property, and then a command processor could be responsible for figuring out how to handle that request (with the appropriate payment processor).
Either of these could help your class follow Single Responsibility Principle by moving details of payment processing out of it.
I have a proxy for a lazy entity which has been created in the session by loading a child entity. A subsequent fetch on the parent entity only returns the NH proxy. I need the actual instance to check the type (the entity has joined subclasses). I must be missing something, but I can't find a way to do this. Session.Refresh(proxy) does not appear to help, nor does any flavour of HQL that I've tried.
Can anyone help?
In my opinion, rather then solving this problem, you should rather rethink your design. Are you absolutely sure, that you can't use polymorphism in this situation - either directly make entity responsible for operation you're trying to perform or use visitor pattern. I came across this issue few times and always decided to change design - it resulted in clearer code. I suggest you do the same, unless you're absolutely sure that relying on type is the best solution.
The problem
In order to have example with at least some resemblance to the real world, let's suppose you have following entities:
public abstract class Operation
{
public virtual DateTime PerformedOn { get; set; }
public virtual double Ammount { get; set; }
}
public class OutgoingTransfer : Operation
{
public virtual string TargetAccount { get; set; }
}
public class AtmWithdrawal : Operation
{
public virtual string AtmAddress { get; set; }
}
It'd naturally be a small part of much larger model. And now you're facing a problem: for each concrete type of Operation, there's a different way to display it:
private static void PrintOperation(Operation operation)
{
Console.WriteLine("{0} - {1}", operation.PerformedOn,
operation.Ammount);
}
private static void PrintOperation(OutgoingTransfer operation)
{
Console.WriteLine("{0}: {1}, target account: {2}",
operation.PerformedOn, operation.Ammount,
operation.TargetAccount);
}
private static void PrintOperation(AtmWithdrawal operation)
{
Console.WriteLine("{0}: {1}, atm's address: {2}",
operation.PerformedOn, operation.Ammount,
operation.AtmAddress);
}
Simple, overloaded methods will work in simple case:
var transfer = new OutgoingTransfer
{
Ammount = -1000,
PerformedOn = DateTime.Now.Date,
TargetAccount = "123123123"
};
var withdrawal = new AtmWithdrawal
{
Ammount = -1000,
PerformedOn = DateTime.Now.Date,
AtmAddress = "Some address"
};
// works as intended
PrintOperation(transfer);
PrintOperation(withdrawal);
Unfortunately, overloaded methods are bound at compile time, so as soon as you introduce an array/list/whatever of operations, only a generic (Operation operation) overload will be called.
Operation[] operations = { transfer, withdrawal };
foreach (var operation in operations)
{
PrintOperation(operation);
}
There are two solutions to this problem, and both have downsides. You can introduce an abstract/virtual method in Operation to print information to selected stream. But this will mix UI concerns into your model, so that's not acceptable for you (I'll show you how can you improve this solution to meet your expectations in a moment).
You can also create lots of ifs in form of:
if(operation is (ConcreteType))
PrintOperation((ConcreteType)operation);
This solution is ugly and error prone. Every time you add/change/remove type of operation, you have to go through every place you used these hack and modify it. And if you miss one place, you'll probably only be able to catch that runtime - no strict compile-time checks for some of errors (like missing one subtype).
Furthermore, this solution will fail as soon as you introduce any kind of proxy.
How proxy works
The code below is VERY simple proxy (in this implementation it's same as decorator pattern - but those patterns are not the same in general. It'd take some additional code to distinguish those two patterns).
public class OperationProxy : Operation
{
private readonly Operation m_innerOperation;
public OperationProxy(Operation innerOperation)
{
if (innerOperation == null)
throw new ArgumentNullException("innerOperation");
m_innerOperation = innerOperation;
}
public override double Ammount
{
get { return m_innerOperation.Ammount; }
set { m_innerOperation.Ammount = value; }
}
public override DateTime PerformedOn
{
get { return m_innerOperation.PerformedOn; }
set { m_innerOperation.PerformedOn = value; }
}
}
As you can see - there is only one proxy class for whole hierarchy. Why? Because you should write your code in a way that doesn't depend on concrete type - only on provided abstraction. This proxy could defer entity loading in time - maybe you won't use it at all? Maybe you'll use just 2 out of 1000 entities? Why load them all then?
So NHibernate uses proxy like on above (much more sophisticated, though) to defer entity loading. It could create 1 proxy per sub-type, but it would destroy whole purpose of lazy loading. If you look carefuly at how NHibernate stores subclasses you'll see, that in order to determine what type entity is, you have to load it. So it is impossible to have concrete proxies - you can only have the most abstract, OperationProxy.
Altough the solution with ifs it's ugly - it was a solution. Now, when you introduced proxies to your problem - it's no longer working. So that just leaves us with polymorphic method, which is unacceptable because of mixing UI responsibility to your model. Let's fix that.
Dependency inversion and visitor pattern
First, let's have a look at how the solution with virtual methods would look like (just added code):
public abstract class Operation
{
public abstract void PrintInformation();
}
public class OutgoingTransfer : Operation
{
public override void PrintInformation()
{
Console.WriteLine("{0}: {1}, target account: {2}",
PerformedOn, Ammount, TargetAccount);
}
}
public class AtmWithdrawal : Operation
{
public override void PrintInformation()
{
Console.WriteLine("{0}: {1}, atm's address: {2}",
PerformedOn, Ammount, AtmAddress);
}
}
public class OperationProxy : Operation
{
public override void PrintInformation()
{
m_innerOperation.PrintInformation();
}
}
And now, when you call:
Operation[] operations = { transfer, withdrawal, proxy };
foreach (var operation in operations)
{
operation.PrintInformation();
}
all works as a charm.
In order to remove this UI dependency in model, let's create an interface:
public interface IOperationVisitor
{
void Visit(AtmWithdrawal operation);
void Visit(OutgoingTransfer operation);
}
Let's modify model to depend on this interface:
And now create an implementation - ConsoleOutputOperationVisitor (I have deleted PrintInformation methods):
public abstract class Operation
{
public abstract void Accept(IOperationVisitor visitor);
}
public class OutgoingTransfer : Operation
{
public override void Accept(IOperationVisitor visitor)
{
visitor.Visit(this);
}
}
public class AtmWithdrawal : Operation
{
public override void Accept(IOperationVisitor visitor)
{
visitor.Visit(this);
}
}
public class OperationProxy : Operation
{
public override void Accept(IOperationVisitor visitor)
{
m_innerOperation.Accept(visitor);
}
}
What happens here? When you call Accept on operation and pass a visitor, implementation of accept will be called, where appropriate overload of Visit method will be invoked (compiler can determine type of "this"). So you combine "power" of virtual methods and overloads to get appropriate method called. As you can see - now UI reference here, model only depends on an interface, which can be included in model layer.
So now, to get this working, an implementation of the interface:
public class ConsoleOutputOperationVisitor : IOperationVisitor
{
#region IOperationVisitor Members
public void Visit(AtmWithdrawal operation)
{
Console.WriteLine("{0}: {1}, atm's address: {2}",
operation.PerformedOn, operation.Ammount,
operation.AtmAddress);
}
public void Visit(OutgoingTransfer operation)
{
Console.WriteLine("{0}: {1}, target account: {2}",
operation.PerformedOn, operation.Ammount,
operation.TargetAccount);
}
#endregion
}
And code:
Operation[] operations = { transfer, withdrawal, proxy };
foreach (var operation in operations)
{
operation.Accept(visitor);
}
I'm well aware that this isn't a perfect solution. You'll still have to modify the interface and visitors as you add new types. But you get compile time checking and will never miss anything. One thing that would be really hard to achieve using this method is to get pluggable subtypes - but I'm not convinced this is a valid scenario anyway. You'll also have to modify this pattern to meet your needs in concrete scenario, but I'll leave this to you.
To force a proxy to be fetched from the database, you can use the NHibernateUtil.Initialize(proxy) method, or access a method/property of the proxy.
var foo = session.Get<Foo>(id);
NHibernateUtil.Initialize(foo.Bar);
To check if an object is initialized or not, you can use the NHibernateUtil.IsInitialized(proxy) method.
Update:
To remove an object from the session cache, use the Session.Evict(obj) method.
session.Evict(myEntity);
Info about Evict and other methods for managing the session cache can be found in chapter 14.5 of the NHibernate docs.
Disabling lazy loading will force the actual instance to be returned instead of the NHibernate Proxy.
eg..
mapping.Not.LazyLoad();
or
<class name="OrderLine" table="OrderLine" lazy="false" >
Since the proxy is derived from the entity class, you can probably just check entity.GetType().BaseType to get your defined type.
I was looking at the differences between POCO and DTO (It appears that POCO's are dto's with behaviour (methods?))and came across this article by Martin Fowler on the anaemic domain model.
Through lack of understanding, I think I have created one of these anaemic domain models.
In one of my applications I have my business domain entities defined in a 'dto' dll. They have a lot of properties with getter's and setter's and not much else. My business logic code (populate, calculate) is in another 'bll' dll, and my data access code is in a 'dal' dll. 'Best practice' I thought.
So typically I create a dto like so:
dto.BusinessObject bo = new dto.BusinessObject(...)
and pass it to the bll layer like so:
bll.BusinessObject.Populate(bo);
which in turn, performs some logic and passes it to the dal layer like so:
dal.BusinessObject.Populate(bo);
From my understanding, to make my dto's into POCO's I need to make the business logic and behaviour (methods) part of the object. So instead of the code above it is more like:
poco.BusinessObject bo = new poco.BusinessObject(...)
bo.Populate();
ie. I am calling the method on the object rather than passing the object to the method.
My question is - how can I do this and still retain the 'best practice' layering of concerns (separate dll's etc...). Doesn't calling the method on the object mean that the method must be defined in the object?
Please help my confusion.
Typically, you don't want to introduce persistence into your domain objects, since it is not part of that business model (an airplane does not construct itself, it flies passengers/cargo from one location to another). You should use the repository pattern, an ORM framework, or some other data access pattern to manage the persistent storage and retreival of an object's state.
Where the anemic domain model comes in to play is when you're doing things like this:
IAirplaneService service = ...;
Airplane plane = ...;
service.FlyAirplaneToAirport(plane, "IAD");
In this case, the management of the airplane's state (whether it's flying, where it's at, what's the departure time/airport, what's the arrival time/airport, what's the flight plan, etc) is delegated to something external to the plane... the AirplaneService instance.
A POCO way of implementing this would be to design your interface this way:
Airplane plane = ...;
plane.FlyToAirport("IAD");
This is more discoverable, since developers know where to look to make an airplane fly (just tell the airplane to do it). It also allows you to ensure that state is only managed internally. You can then make things like current location read-only, and ensure that it's only changed in one place. With an anemic domain object, since state is set externally, discovering where state is changed becomes increasingly difficult as the scale of your domain increases.
I think the best way to clarify this is by definition:
DTO: Data Transfer Objects:
They only serve for data transportation typically between presentation layer and service layer. Nothing less or more. Generally it is implemented as class with gets and sets.
public class ClientDTO
{
public long Id {get;set;}
public string Name {get;set;}
}
BO: Business Objects:
Business objects represents the business elements and naturally the best practice says they should contain business logic also. As said by Michael Meadows, it is also good practice to isolate data access from this objects.
public class Client
{
private long _id;
public long Id
{
get { return _id; }
protected set { _id = value; }
}
protected Client() { }
public Client(string name)
{
this.Name = name;
}
private string _name;
public string Name
{
get { return _name; }
set
{ // Notice that there is business logic inside (name existence checking)
// Persistence is isolated through the IClientDAO interface and a factory
IClientDAO clientDAO = DAOFactory.Instance.Get<IClientDAO>();
if (clientDAO.ExistsClientByName(value))
{
throw new ApplicationException("Another client with same name exists.");
}
_name = value;
}
}
public void CheckIfCanBeRemoved()
{
// Check if there are sales associated to client
if ( DAOFactory.Instance.GetDAO<ISaleDAO>().ExistsSalesFor(this) )
{
string msg = "Client can not be removed, there are sales associated to him/her.";
throw new ApplicationException(msg);
}
}
}
Service or Application Class
These classes represent the interaction between User and the System and they will make use of both ClientDTO and Client.
public class ClientRegistration
{
public void Insert(ClientDTO dto)
{
Client client = new Client(dto.Id,dto.Name); /// <-- Business logic inside the constructor
DAOFactory.Instance.Save(client);
}
public void Modify(ClientDTO dto)
{
Client client = DAOFactory.Instance.Get<Client>(dto.Id);
client.Name = dto.Name; // <--- Business logic inside the Name property
DAOFactory.Instance.Save(client);
}
public void Remove(ClientDTO dto)
{
Client client = DAOFactory.Instance.Get<Client>(dto.Id);
client.CheckIfCanBeRemoved() // <--- Business logic here
DAOFactory.Instance.Remove(client);
}
public ClientDTO Retrieve(string name)
{
Client client = DAOFactory.Instance.Get<IClientDAO>().FindByName(name);
if (client == null) { throw new ApplicationException("Client not found."); }
ClientDTO dto = new ClientDTO()
{
Id = client.Id,
Name = client.Name
}
}
}
Personally I don't find those Anaemic Domain Models so bad; I really like the idea of having domain objects that represent only data, not behaviour. I think the major downside with this approach is discoverability of the code; you need to know which actions that are available to use them. One way to get around that and still keep the behaviour code decoupled from the model is to introduce interfaces for the behaviour:
interface ISomeDomainObjectBehaviour
{
SomeDomainObject Get(int Id);
void Save(SomeDomainObject data);
void Delete(int Id);
}
class SomeDomainObjectSqlBehaviour : ISomeDomainObjectBehaviour
{
SomeDomainObject ISomeDomainObjectBehaviour.Get(int Id)
{
// code to get object from database
}
void ISomeDomainObjectBehaviour.Save(SomeDomainObject data)
{
// code to store object in database
}
void ISomeDomainObjectBehaviour.Delete(int Id)
{
// code to remove object from database
}
}
class SomeDomainObject
{
private ISomeDomainObjectBehaviour _behaviour = null;
public SomeDomainObject(ISomeDomainObjectBehaviour behaviour)
{
}
public int Id { get; set; }
public string Name { get; set; }
public int Size { get; set; }
public void Save()
{
if (_behaviour != null)
{
_behaviour.Save(this);
}
}
// add methods for getting, deleting, ...
}
That way you can keep the behaviour implementation separated from the model. The use of interface implementations that are injected into the model also makes the code rather easy to test, since you can easily mock the behaviour.