TDD: Static methods, dependency injection, caching, and you! - c#

Hope I can explain this somewhat decently, as it's blowing a fuse in my brain today. I'm learning TDD in C#, so I'm still trying to rewire my brain to fit it.
Let's say I have a User class, that previously had a static method to retrieve a User object (simplified below).
public static User GetUser(string username)
{
User user = GetUserFromCache(username);
if(user == null)
{
user = GetUserFromDatabase(username);
StoreObjectInCache(user);
}
return user;
}
So I'm trying to rewrite this to use dependency injection so I can fake out the "GetUserFromDatabase" method if it needs to go there. That means I have to make the function not static. Whereas the data access layer would construct the user object from the database, mapping the returned columns to the object properties, a retrieval from cache would return a true-blue User object. However, in a non-static method, I can't just say
this = GetUserFromCache(username);
Because it just doesn't work that way. Though I'm by no means the world expert in how to dance around this with OO, it looks like I'd almost have to grab the User object from cache and write another mapping function that would store the returned User object properties into the new User instance.
What's the solution here? Any OO magic I'm missing? Is the only solution to refactor everything to use factories instead of having the instantiation logic in the object itself? Or have I been staring at this too long and missing something completely obvious?

I don't think you're missing any magic and I think refactoring to remove the persistence code from your business objects and into your persistence layer is the right way to go both from a unit testing and a design perspective. You may want to think about having the cache sit between your business layer and the persistence layer, mediating the retrieval/update of your business objects to simplify things. You should be able to mock/fake your cache and persistence layer if you separate things out this way.

Unit testing code that does date processing based on today's date
Before
There is some code that uses the database to fetch a User and place it into the cache.
After
There is some code that uses the database to fetch a User
There is some code that places the User in the cache.
These two sets of code should not be dependent on each other.
public static Func<string, UserName> Loader {get;set;}
public static Constructor()
{
Loader = GetFromDataBase;
}
public static User GetUser(string userName)
{
User user = GetUserFromCache()
if (user == null)
{
user = Loader(userName);
StoreUserInCache(user);
}
return user;
}
public void Test1()
{
UserGetter.Loader = Mock.GetUser;
UserGetter.GetUser("Bob");
}
Classically, an interface would be used instead of a Func. If more than one method is involved, an interface is an obvious choice over the Func. If the methods implementations themselves are static, Func is a way to do abstraction over them.

What I am missing in your example is the context of your call to "GetUser". This is probably because with a static method you don't need to think about as you can call it from everywhere. In DI this means the repository needs to be referenced by the sender in some way, a field most likely.
When your cache is a field of some object, a facade probably, you could use this make your cache a proxy of your database.
So you would have:
class ApplicationFacade{
private IUserRepository users = null;
public doStuff(){
this.users.GetUser("my-name");
}
}
where IUserRepository is a common interface for your cache, fake database and database. Something simple like:
interface IUserRepository{
User GetUser(string username);
}
Your cache could now be a simple object implementing this interface and because cache is injected the DI container can also inject into it.
class Cache : IUserRepository {
private IUserRepository users = null;
public User GetUser(string username){
if (this.NotCached(username)){
this.ToCache(this.users.GetUser(username));
}
return this.FromCache(username);
}
}
Now depending on what you want you can inject your fake, cache or database into your facade object and if you use your cache object you can inject your fake er database into it as desired (or even an other cache if you really wanted to).
Of cause the actual injection mechanism depends on your DI container and may require some extra code as public properties or constructor fields.

Take a look at Refactoring static method / static field for Testing
The approach suggested there may work for you, if for some reason you can't refactor everything to separate concerns as suggested in another answer.

Related

Effective Repository in C# - Where to put methods?

I'm trying to build a new application using the Repository pattern for the first time and I'm a little confused about using a Repository. Suppose I have the following classes:
public class Ticket
{
}
public class User
{
public List<Ticket>AssignedTickets { get; set; }
}
public class Group
{
public List<User> GroupMembers { get;set; }
public List<Ticket> GroupAssignedTickets { get;set; }
}
I need a methods that can populate these collections by fetching data from the database.
I'm confused as to which associated Repository class I should put those methods in. Should I design my repositories so that everything returning type T goes in the repository for type T as such?
public class TicketRepository
{
public List<Ticket> GetTicketsForGroup(Group g) { }
public List<Ticket> GetTicketsForUser(User u) { }
}
public class UserRepository
{
public List<User> GetMembersForGroup(Group g) { }
}
The obvious drawback I see here is that I need to start instantiating a lot of repositories. What if my User also has assigned Widgets, Fidgets, and Lidgets? When I populate a User, I need to instantiate a WidgetRepository, a FidgetRepository, and a LidgetRepository all to populate a single user.
Alternatively, do I construct my repository so that everything requesting based on type T is lumped into the repository for type T as listed below?
public class GroupRepository
{
public List<Ticket> GetTickets(Group g) { }
public List<User> GetMembers(Group g) { }
}
public class UserRepository
{
public List<Ticket> GetTickets(User u) { }
}
The advantage I see here is that if I now need my user to have a collection of Widgets, Fidgets, and Lidgets, I just add the necessary methods to the UserRepository pattern and don't need to instantiate a bunch of different repository classes every time I want to create a user, but now I've scattered the concerns for a user across several different repositories.
I'm really not sure which way is right, if any. Any suggestions?
The repository pattern can help you to:
Put things that change for the same reason together
As well as
Separate things that change for different reasons
On the whole, I would expect a "User Repository" to be a repository for obtaining users. Ideally, it would be the only repository that you can use to obtain users, because if you change stuff, like user tables or the user domain model, you would only need to change the user repository. If you have methods on many repositories for obtaining a user, they would all need to change.
Limiting the impact of change is good, because change is inevitable.
As for instantiating many repositories, using a dependency injection tool such as Ninject or Unity to supply the repositories, or using a repository factory, can reduce new-ing up lots of repositories.
Finally, you can take a look at the concept of Domain Driven Design to find out more about the key purpose behind domain models and repositories (and also about aggregate roots, which are relevant to what you are doing).
Fascinating question with no right answer. This might be a better fit for programmers.stackexchange.com rather than stackoverflow.com. Here are my thoughts:
Don't worry about creating too many repositories. They are basically stateless objects so it isn't like you will use too much memory. And it shouldn't be a significant burden to the programmer, even in your example.
The real benefit of repositories is for mocking the repository for unit testing. Consider splitting them up based on what is simplest for the unit tests, to make the dependency injection simple and clear. I've seen cases where every query is a repository (they call those "queries" instead of repositories). And other cases where there is one repository for everything.
As it turns out, the first option was the more practical option in this case. There were a few reasons for this:
1) When making changes to a type and its associated repository (assume Ticket), it was far easier to modify the Ticket and TicketRepository in one place than to chase down every method in every repository that used a Ticket.
2) When I attempted to use interfaces to dictate the type of queues each repository could pull, I ran into issues where a single repository couldn't implement an generic interface using type T multiple times with the only differentiation in interface method implementation being the parameter type.
3) I access data from SharePoint and a database in my implementation, and created two abstract classes to provide data tools to the concrete repositories for either Sharepoint or SQL Server. Assume that in the example above Users come from Sharepoint while Tickets come from a database. Using my model I would not be able to use these abstract classes, as the group would have to inherit from both my Sharepoint abstract class and my SQL abstract class. C# does not support multiple inheritance of abstract classes. However, if I'm grouping all Ticket-related behaviours into a TicketRepository and all User-related behaviours into a UserRepository, each repository only needs access to one type of underlying data source (SQL or Sharepoint, respectively).

SOA, TDD, DI & DDD - a shell game?

Okay, I'm going to try and go short and straight to the point. I am trying to develop a loosely-coupled, multi-tier service application that is testable and supports dependency injection. Here's what I have:
At the service layer, I have a StartSession method that accepts some key data required to, well, start the session. My service class is a facade and delegates to an instance of the ISessionManager interface that is injected into the service class constructor.
I am using the Repository pattern in the data access layer. So I have an ISessionRepository that my domain objects will work with and that I implement using the data access technology du jour. ISessionRepository has methods for GetById, Add and Update.
Since my service class is just a facade, I think it is safe to say that my ISessionManager implementation is the actual service class in my architecture. This class coordinates the operations with my Session domain/business object. And here's where the shell game and problem comes in.
In my SessionManager class (the concrete ISessionManager), here's how I have StartSession implemented:
public ISession StartSession(object sessionStartInfo)
{
var session = Session.GetSession(sessionStartInfo);
if (session == null)
session = Session.NewSession(sessionStartInfo);
return session;
}
I have three problems with this code:
First, obviously I could move this logic into a StartSession method in my Session class but I think that would defeat the purpose of the SessionManager class which then simply becomes a second facade (or is it still considered a coordinator?). Alas, the shell game.
Second, SessionManager has a tightly-coupled dependance upon the Session class. I considered creating an ISessionFactory/SessionFactory that could be injected into SessionManager but then I'd have the same tight-coupling inside the factory. But, maybe that's okay?
Finally, it seems to me that true DI and factory methods don't mix. After all, we want to avoid "new"ing an instance of an object and let the container return the instance to us. And true DI says that we should not reference the container directly. So, how then do I get the concrete ISessionRepository class injected into my Session domain object? Do I have it injected into the factory class then manually pass it into Session when constructing a new instance (using "new")?
Keep in mind that this is also only one operation and I also need to perform other tasks such as saving a session, listing sessions based on various criteria plus work with other domain objects in my solution. Plus, the Session object also encapsulates business logic for authorization, validation, etc. so (I think) it needs to be there.
The key to what I am looking to accomplish is not only functional but testable. I am using DI to break dependencies so we can easily implement unit tests using mocks as well as give us the ability to make changes to the concrete implementations without requiring changes in multiple areas.
Can you help me wrap my head around the best practices for such a design and how I can best achieve my goals for a solid SOA, DDD and TDD solution?
UPDATE
I was asked to provide some additional code, so as succinctly as possible:
[ServiceContract()]
public class SessionService : ISessionService
{
public SessionService(ISessionManager manager) { Manager = manager; }
public ISessionManager Manager { get; private set; }
[OperationContract()]
public SessionContract StartSession(SessionCriteriaContract criteria)
{
var session = Manager.StartSession(Mapper.Map<SessionCriteria>(criteria));
return Mapper.Map<SessionContract>(session);
}
}
public class SessionManager : ISessionManager
{
public SessionManager() { }
public ISession StartSession(SessionCriteria criteria)
{
var session = Session.GetSession(criteria);
if (session == null)
session = Session.NewSession(criteria);
return session;
}
}
public class Session : ISession
{
public Session(ISessionRepository repository, IValidator<ISession> validator)
{
Repository = repository;
Validator = validator;
}
// ISession Properties
public static ISession GetSession(SessionCriteria criteria)
{
return Repository.FindOne(criteria);
}
public static ISession NewSession(SessionCriteria criteria)
{
var session = ????;
// Set properties based on criteria object
return session;
}
public Boolean Save()
{
if (!Validator.IsValid(this))
return false;
return Repository.Save(this);
}
}
And, obviously, there is an ISessionRepository interface and concrete XyzSessionRepository class that I don't think needs to be shown.
2nd UPDATE
I added the IValidator dependency to the Session domain object to illustrate that there are other components in use.
The posted code clarifies a lot. It looks to me like the session class holds state (with behavior), and the service and manager classes strictly perform actions/behavior.
You might look at removing the Repository dependency from the Session and adding it to the SessionManager. So instead of the Session calling Repository.Save(this), your Manager class would have a Save(ISession session) method that would then call Repository.Save(session). This would mean that the session itself would not need to be managed by the container, and it would be perfectly reasonable to create it via "new Session()" (or using a factory that does the same). I think the fact that the Get- and New- methods on the Session are static is a clue/smell that they may not belong on that class (does this code compile? Seems like you are using an instance property within a static method).
Finally, it seems to me that true DI
and factory methods don't mix. After
all, we want to avoid "new"ing an
instance of an object and let the
container return the instance to us.
And true DI says that we should not
reference the container directly. So,
how then do I get the concrete
ISessionRepository class injected into
my Session domain object? Do I have it
injected into the factory class then
manually pass it into Session when
constructing a new instance (using
"new")?
This question gets asked a LOT when it comes to managing classes that mix state and service via an IOC container. As soon as you use an abstract factory that uses "new", you lose the benefits of a DI framework from that class downward in the object graph. You can get away from this by completely separating state and service, and having only your classes that provide service/behavior managed by the container. This leads to passing all data through method calls (aka functional programming). Some containers (Windsor for one) also provide a solution to this very problem (in Windsor it's called the Factory Facility).
Edit: wanted to add that functional programming also leads to what Fowler would call "anemic domain models". This is generally considered a bad thing in DDD, so you might have to weigh that against the advice I posted above.
Just some comments...
After all, we want to avoid "new"ing an instance of an object and let the container return the instance to us.
this ain't true for 100%. You want to avoid "new"ing only across so called seams which basically are lines between layers. if You try to abstract persistence with repositories - that's a seam, if You try to decouple domain model from UI (classic one - system.web reference), there's a seam. if You are in same layer, then decoupling one implementation from another sometimes makes little sense and just adds additional complexity (useless abstraction, ioc container configuration etc.). another (obvious) reason You want to abstract something is when You already right now need polymorphism.
And true DI says that we should not reference the container directly.
this is true. but another concept You might be missing is so called composition root (it's good for things to have a name :). this concept resolves confusion with "when to use service locator". idea is simple - You should compose Your dependency graph as fast as possible. there should be 1 place only where You actually reference ioc container.
E.g. in asp.net mvc application, common point for composition is ControllerFactory.
Do I have it injected into the factory class then manually pass it into Session when constructing a new instance
As I see so far, factories are generally good for 2 things:
1.To create complex objects (Builder pattern helps significantly)
2.Resolving violations of open closed and single responsibility principles
public void PurchaseProduct(Product product){
if(product.HasSomething) order.Apply(new FirstDiscountPolicy());
if(product.HasSomethingElse) order.Apply(new SecondDiscountPolicy());
}
becomes as:
public void PurchaseProduct(Product product){
order.Apply(DiscountPolicyFactory.Create(product));
}
In that way Your class that holds PurchaseProduct won't be needed to be modified if new discount policy appears in sight and PurchaseProduct would become responsible for purchasing product only instead of knowing what discount to apply.
P.s. if You are interested in DI, You should read "Dependency injection in .NET" by Mark Seemann.
I thought I'd post the approach I ended up following while giving due credit above.
After reading some additional articles on DDD, I finally came across the observation that our domain objects should not be responsible for their creation or persistence as well as the notion that it is okay to "new" an instance of a domain object from within the Domain Layer (as Arnis eluded).
So, I retained my SessionManager class but renamed it SessionService so it would be clearer that it is a Domain Service (not to be confused with the SessionService in the facade layer). It is now implemented like:
public class SessionService : ISessionService
{
public SessionService(ISessionFactory factory, ISessionRepository repository)
{
Factory = factory;
Repository = repository;
}
public ISessionFactory Factory { get; private set; }
public ISessionRepository Repository { get; private set; }
public ISession StartSession(SessionCriteria criteria)
{
var session = Repository.GetSession(criteria);
if (session == null)
session = Factory.CreateSession(criteria);
else if (!session.CanResume)
thrown new InvalidOperationException("Cannot resume the session.");
return session;
}
}
The Session class is now more of a true domain object only concerned with the state and logic required when working with the Session, such as the CanResume property shown above and validation logic.
The SessionFactory class is responsible for creating new instances and allows me to still inject the ISessionValidator instance provided by the container without directly referencing the container itself:
public class SessionFactory : ISessionFactory
{
public SessionFactory(ISessionValidator validator)
{
Validator = validator;
}
public ISessionValidator Validator { get; private set; }
public Session CreateSession(SessionCriteria criteria)
{
var session = new Session(Validator);
// Map properties
return session;
}
}
Unless someone can point out a flaw in my approach, I'm pretty comfortable that this is consistent with DDD and gives me full support for unit testing, etc. - everything I was after.

should I make this class static?

In the projects I worked on I have classes that query/update database, like this one,
public class CompanyInfoManager
{
public List<string> GetCompanyNames()
{
//Query database and return list of company names
}
}
as I keep creating more and more classes of this sort, I realize that maybe I should make this type of class static. By doing so the obvious benefit is avoid the need to create class instances every time I need to query the database. But since for the static class, there is only one copy of the class, will this result in hundreds of requests contend for only one copy of static class?
Thanks,
I would not make that class static but instead would use dependency injection and pass in needed resources to that class. This way you can create a mock repository (that implements the IRepository interface) to test with. If you make the class static and don't pass in your repository then it is very difficult to test since you can't control what the static class is connecting to.
Note: The code below is a rough example and is only intended to convey the point, not necessarily compile and execute.
public interface IRepository
{
public DataSet ExecuteQuery(string aQuery);
//Other methods to interact with the DB (such as update or insert) are defined here.
}
public class CompanyInfoManager
{
private IRepository theRepository;
public CompanyInfoManager(IRepository aRepository)
{
//A repository is required so that we always know what
//we are talking to.
theRepository = aRepository;
}
public List<string> GetCompanyNames()
{
//Query database and return list of company names
string query = "SELECT * FROM COMPANIES";
DataSet results = theRepository.ExecuteQuery(query);
//Process the results...
return listOfNames;
}
}
To test CompanyInfoManager:
//Class to test CompanyInfoManager
public class MockRepository : IRepository
{
//This method will always return a known value.
public DataSet ExecuteQuery(string aQuery)
{
DataSet returnResults = new DataSet();
//Fill the data set with known values...
return returnResults;
}
}
//This will always contain known values that you can test.
IList<string> names = new CompanyInfoManager(new MockRepository()).GetCompanyNames();
I didn't want to ramble on about dependency injection. Misko Hevery's blog goes into great detail with a great post to get started.
It depends. Will you ever need to make your program multithreaded? Will you ever need to connect to more than one database? Will you ever need to store state in this class? Do you need to control the lifetime of your connections? Will you need data caching in the future? If you answer yes to any of these, a static class will make things awkward.
My personal advice would be to make it an instance as this is more OO and would give you flexibility you might need in the future.
You have to be careful making this class static. In a web app, each request is handled on its own thread. Static utilities can be thread-unsafe if you are not careful. And if that happens you are not going to be happy.
I would highly recommend you follow the DAO pattern. Use a tool like Spring to make this easy for you. All you have to do is configure a datasource and your DB access and transactions will be a breeze.
If you go for a static class you will have to design it such that its largely stateless. The usual tactic is to create a base class with common data access functions and then derive them in specific classes for, say, loading Customers.
If object creation is actually the overhead in the entire operation, then you could also look at pooling pre-created objects. However, I highly doubt this is the case.
You might find that a lot of your common data access code could be made into static methods, but a static class for all data access seems like the design is lost somewhere.
Static classes don't have any issues with multi-threaded access per-se, but obviously locks and static or shared state is problematic.
By making the class static, you would have a hard time unit testing it, as then you
would probably have to manage internally the reading of the connection string in a non-clear manner, either by reading it inside the class from a configuration file or requesting it from some class that manages these constants. I'd rather instantiate such a class in a traditional way
var manager = new CompanyInfoManager(string connectionString /*...and possible other dependencies too*/)
and then assign it to a global/public static variable, if that makes sense for the class, ie
//this can be accessed globally
public static CompanyInfoManager = manager;
so now you would not sacrifice any flexibility for your unit tests, since all of the class's dependencies are passed to it through its constructor

Constructive criticism on this class

I've just reviewed some code that looked like this before
public class ProductChecker
{
// some std stuff
public ProductChecker(int AccountNumber)
{
var account = new AccountPersonalDetails(AccountNumber);
//Get some info from account and populate class fields
}
public bool ProductACriteriaPassed()
{
//return some criteria based on stuff in account class
//but now accessible in private fields
}
}
There has now been some extra criteria added which needs data not in the AccountPersonalDetails class
the new code looks like this
public class ProductChecker
{
// some std stuff
public ProductChecker(int AccountNumber)
{
var account = new AccountPersonalDetails(AccountNumber);
var otherinfo = getOtherInfo(AccountNumber)
//Get some info from account and populate class fields
}
public bool ProductACriteriaPassed()
{
//return some criteria based on stuff in account class
// but now accessible in private fields and other info
}
public otherinfo getOtherInfo(int AccountNumber)
{
//DIRECT CALL TO DB TO GET OTHERINFO
}
}
I'm bothered by the db part but can people spell out to me why this is wrong? Or is it?
In a layered view of your system, it looks like ProductChecker belongs to the business rules / business logic layer(s), so it shouldn't be "contaminated" with either user interaction functionality (that belongs in the layer(s) above) or -- and that's germane to your case -- storage functionality (that belongs in the layer(s) below).
The "other info" should be encapsulated in its own class for the storage layers, and that class should be the one handling persist/retrieve functionality (just like I imagine AccountPersonalDetails is doing for its own stuff). Whether the "personal details" and "other info" are best kept as separate classes or joined into one I can't tell from the info presented, but the option should be critically considered and carefully weighed.
The rule of thumb of keeping layers separate may feel rigid at times, and it's often tempting to shortcut it to add a feature by miscegenation of the layers -- but to keep your system maintainable and clean as it grows, I do almost invariably argue for layer separation whenever such a design issue arises. In OOP terms, it speaks to "strong cohesion but weak coupling"; but in a sense it's more fundamental than OOP since it also applies to other programming paradigms, and mixes thereof!-)
It seems like the extra data grabbed in getOtherInfo should be encapsulated as part of the AccountPersonalDetails class, and thus already part of your account variable in the constructor when you create a new AccountPersonalDetails object. You pass in AccountNumber to both, so why not make AccountPersonalDetails gather all the info you need? Then you won't have to tack on extra stuff externally, as you're doing now.
It definitely looks like there might be something going haywire with the design of the class...but it's hard to tell without knowing the complete architecture of the application.
First of all, if the OtherInfo object pertains to the Account rather than the Product you're checking on...it's introducing responsibilities to your class that shouldn't be there.
Second of all, if you have a Data Access layer...then the ProductChecker class should be using the Data Access layer to retrieve data from the database rather than making direct calls in to retrieve the data it needs.
Third of all, I'm not sure that the GetOtherInfo method needs to be public. It looks like something that should only be used internally to your class (if, in fact, it actually belongs there to begin with). In that case, you also shouldn't need to pass around the accountId (you class should hold that somewhere already).
But...if OtherInfo pertains to the Product you're checking on AND you have no real Data Access layer then I can see how this might be a valid design.
Still, I'm on your side. I don't like it.
considering that an accountNumber was passed into the constructor you shouldn't have to pass it to another method like that.
A few points
The parameter names are pascal case, instead of camel (this maybe a mistake)
getOtherInfo() looks like it's a responsibility of AccountPersonalDetails and so should be in that class
You may want to use a Façade class or Repository pattern to retrieve your AccountPersonalDetails instead of using a constructor
getOtherInfo() may also be relevant for this refactor, so the database logic isn't embedded inside the domain object, but in a service class (the Façade/Repository)
ProductACriteriaPassed() is in the right place
I would recommend this:
public class AccountPersonalDetails
{
public OtherInfo OtherInfo { get; private set; }
}
public class ProductChecker
{
public ProductChecker(AccountPersonalDetails) {}
}
// and here's the important piece
public class EitherServiceOrRepository
{
public static AccountPersonalDetails GetAccountDetailsByNumber(int accountNumber)
{
// access db here
}
// you may also feel like a bit more convinience via helpers
// this may be inside ProductCheckerService, though
public static ProductChecker GetProductChecker(int accountNumber)
{
return new ProductChecker(GetAccountDetailsByNumber(accountNumber));
}
}
I'm not expert in Domain-Driven Design but I believe this is what DDD is about. You keep your logic clean of DB concerns, moving this to external services/repositories. Will be glad if somebody correct me if I'm wrong.
Whats good. It looks like you have a productChecker with a nice clear purpose. Check products. You'd refactor or alter this because your have a need to. If you don't need to, you wouldn't. Here's what I would probably do.
It "feels" clunky to create a new instance of the class for each account number. A constructor argument should be something required for the class to behave correctly. Its a parameter of the class, not a dependency. It leads to the tempation to do a lot of work in the constructor. Usage of the class should look like this:
result = new ProductChecker().ProductACriteriaPassed(accountNumber)
Which I'd quickly rename to indicate it does work.
result = new ProductChecker().PassesProductACriteria(accountNumber)
A few others have mentioned that you may want to split out the database logic. You'd want to do this if you want unit tests that are fast. Most programs want unit tests (unless you are just playing around), and they are nicer if they are fast. They are fast when you can get the database out of the way.
Let's make a dummy object representing results of the database, and pass it to a method that determines whether the product passes. If not for testibility, this would be a private. Testability wins. Suppose I want to verify a rule such as "the product must be green if the account number is prime." This approach to unit testing works great without fancy infrastructure.
// Maybe this is just a number of items.
DataRequiredToEvaluateProduct data = // Fill in data
// Yes, the next method call could be static.
result = new ProductChecker().CheckCriteria(accountNumber, data)
// Assert result
Now we need to connect the database. The database is a dependency, its required for the class to behave correctly. It should be provided in the constructor.
public class ProductRepository {} // Define data access here.
// Use the ProductChecker as follows.
result = new ProductChecker(new ProductRepository()).CheckCriteria(accountNumber)
If the constructor gets annoyingly lengthy (it probably has to read a config file to find the database), create a factory to sort it out for you.
result = ProductCheckerFactory().GimmeProductChecker().CheckCriteria(accountNumber)
So far, I haven't used any infrastructure code. Typically, we'd make the above easier and prettier with mocks and dependency injection (I use rhinomocks and autofac). I won't go into that. That is only easier if you already have it in place.

Save Me on a Business Object

I've commonly seen examples like this on business objects:
public void Save()
{
if(this.id > 0)
{
ThingyRepository.UpdateThingy(this);
}
else
{
int id = 0;
ThingyRepository.AddThingy(this, out id);
this.id = id;
}
}
So why here, on the business object? This seems like contextual or data related more so than business logic.
For example, a consumer of this object might go through something like this...
...Get form values from a web app...
Thingy thingy = Thingy.CreateNew(Form["name"].Value, Form["gadget"].Value, Form["process"].Value);
thingy.Save();
Or, something like this for an update...
... Get form values from a web app...
Thingy thingy = Thingy.GetThingyByID(Int32.Parse(Form["id"].Value));
Thingy.Name = Form["name"].Value;
Thingy.Save();
So why is this? Why not contain actual business logic such as calculations, business specific rules, etc., and avoid retrieval/persistence?
Using this approach, the code might look like this:
... Get form values from a web app...
Thingy thingy = Thingy.CreateNew(Form["name"].Value, Form["gadget"].Value, Form["process"].Value);
ThingyRepository.AddThingy(ref thingy, out id);
Or, something like this for an update...
... get form values from a web app ...
Thingy thingy = ThingyRepository.GetThingyByID(Int32.Parse(Form["id"].Value));
thingy.Name = Form["Name"].Value;
ThingyRepository.UpdateThingy(ref thingy);
In both of these examples, the consumer, who knows best what is being done to the object, calls the repository and either requests an ADD or an UPDATE. The object remains DUMB in that context, but still provides it's core business logic as pertains to itself, not how it is retrieved or persisted.
In short, I am not seeing the benefit of consolidating the GET and SAVE methods within the business object itself.
Should I just stop complaining and conform, or am I missing something?
This leads into the Active Record pattern (see P of EAA p. 160).
Personally I am not a fan. Tightly coupling business objects and persistence mechanisms so that changing the persistence mechanism requires a change in the business object? Mixing data layer with domain layer? Violating the single responsibility principle? If my business object is Account then I have the instance method Account.Save but to find an account I have the static method Account.Find? Yucky.
That said, it has its uses. For small projects with objects that directly conform to the database schema and have simple domain logic and aren't concerned with ease of testing, refactoring, dependency injection, open/closed, separation of concerns, etc., it can be a fine choice.
Your domain objects should have no reference to persistance concerns.
Create a repository interface in the domain that will represent a persistance service, and implement it outside the domain (you can implement it in a separate assembly).
This way your aggregate root doesn't need to reference the repository (since it's an aggregate root, it should already have everyting it needs), and it will be free of any dependency or persistance concern. Hence easier to test, and domain focused.
While I have no understanding of DDD, it makes sense to have 1 method (which will do UPSERT. Insert if record doesn't exist, Update otherwise).
User of the class can act dumb and call Save on an existing record and Update on a new record.
Having one point of action is much clearer.
EDIT: The decision of whether to do an INSERT or UPDATE is better left to the repository. User can call Repository.Save(....), which can result in a new record (if record is not already in DB) or an update.
If you don't like their approach make your own. Personally Save() instance methods on business objects smell really good to me. One less class name I need to remember. However, I don't have a problem with a factory save but I don't see why it would be so difficult to have both. IE
class myObject
{
public Save()
{
myObjFactory.Save(this);
}
}
...
class myObjectFactory
{
public void Save(myObject obj)
{
// Upsert myObject
}
}

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