Onion Architecture - Repository Vs Service? - asp.net-mvc

I am learning the well-known Onion Architecture from Jeffrey Palermo.
Not specific to this pattern, but I cannot see clearly the separation between repositories and domain services.
I (mis)understand that repository concerns data access and service are more about business layer (reference one or more repositories).
In many examples, a repository seems to have some kind of business logic behind like GetAllProductsByCategoryId or GetAllXXXBySomeCriteriaYYY.
For lists, it seems that service is just a wrapper on repository without any logic.
For hierarchies (parent/children/children), it is almost the same problem : is it the role of repository to load the complete hierarchy ?

The repository is not a gateway to access Database. It is an abstraction that allow you to store and load domain objects from some form of persistence store. (Database, Cache or even plain Collection). It take or return the domain objects instead of its internal field, hence it is an object oriented interface.
It is not recommended to add some methods like GetAllProductsByCategoryId or GetProductByName to the repository, because you will add more and more methods the repository as your use case/ object field count increase. Instead it is better to have a query method on the repository which takes a Specification. You can pass different implementations of the Specification to retrieve the products.
Overall, the goal of repository pattern is to create a storage abstraction that does not require changes when the use cases changes. This article talks about the Repository pattern in domain modelling in great detail. You may be interested.
For the second question: If I see a ProductRepository in the code, I'd expect that it returns me a list of Product. I also expect that each of the Product instance is complete. For example, if Product has a reference to ProductDetail object, I'd expect that Product.getDetail() returns me a ProductDetail instance rather than null. Maybe the implementation of the repository load ProductDetail together with Product, maybe the getDetail() method invoke ProductDetailRepository on the fly. I don't really care as a user of the repository. It is also possible that the Product only returns a ProductDetail id when I call getDetail(). It is perfect fine from the repository's contract point of view. However it complicates my client code and forces me to call ProductDetailRepository myself.
By the way, I've seen many service classes that solely wrap the repository classes in my past. I think it is an anti-pattern. It is better to have the callers of the services to use the repositories directly.

Repository pattern mediates between the domain and data mapping layers using a collection-like interface for accessing domain objects.
So, repositories is to provide interface for CRUD operation on domain entities. Remember that Repositories deals with whole Aggregate.
Aggregates are groups of things that belong together. An Aggregate Root is the thing that holds them all together.
Example Order and OrderLines:
OrderLines have no reason to exist without their parent Order, nor can they belong to any other Order. In this case, Order and OrderLines would probably be an Aggregate, and the Order would be the Aggregate Root
Business logic should be in Domain Entities, not in Repository layer , application logic should be in service layer like your mention, services in here play a role as coordinator between repositoies.

While I'm still struggling with this, I want to post as an answer but also I accept (and want) feedback about this.
In the example GetProductsByCategory(int id)
First, let's think from the initial need. We hit a controller, probably the CategoryController so you have something like:
public CategoryController(ICategoryService service) {
// here we inject our service and keep a private variable.
}
public IHttpActionResult Category(int id) {
CategoryViewModel model = something.GetCategoryViewModel(id);
return View()
}
so far, so good. We need to declare 'something' that creates the view model.
Let's simplify and say:
public IHttpActionResult Category(int id) {
var dependencies = service.GetDependenciesForCategory(id);
CategoryViewModel model = new CategoryViewModel(dependencies);
return View()
}
ok, what are dependencies ? We maybe need the category tree, the products, the page, how many total products, etc.
so if we implemented this in a repository way, this could look like more or less like this :
public IHttpActionResult Category(int id) {
var products = repository.GetCategoryProducts(id);
var category = repository.GetCategory(id); // full details of the category
var childs = repository.GetCategoriesSummary(category.childs);
CategoryViewModel model = new CategoryViewModel(products, category, childs); // awouch!
return View()
}
instead, back to services :
public IHttpActionResult Category(int id) {
var category = service.GetCategory(id);
if (category == null) return NotFound(); //
var model = new CategoryViewModel(category);
return View(model);
}
much better, but what is exactly inside service.GetCategory(id) ?
public CategoryService(ICategoryRespository categoryRepository, IProductRepository productRepository) {
// same dependency injection here
public Category GetCategory(int id) {
var category = categoryRepository.Get(id);
var childs = categoryRepository.Get(category.childs) // int[] of ids
var products = productRepository.GetByCategory(id) // this doesn't look that good...
return category;
}
}
Let's try another approach, the unit of work, I will use Entity framework as the UoW and Repositories, so no need to create those.
public CategoryService(DbContext db) {
// same dependency injection here
public Category GetCategory(int id) {
var category = db.Category.Include(c=> c.Childs).Include(c=> c.Products).Find(id);
return category;
}
}
So here we are using the 'query' syntax instead of the method syntax, but instead of implementing our own complex, we can use our ORM. Also, we have access to ALL repositories, so we can still do our Unit of work inside our service.
Now we need to select which data we want, I probably don't want all the fields of my entities.
The best place I can see this is happening is actually on the ViewModel, each ViewModel may need to map it's own data, so let's change the implementation of the service again.
public CategoryService(DbContext db) {
// same dependency injection here
public Category GetCategory(int id) {
var category = db.Category.Find(id);
return category;
}
}
so where are all the products and inner categories?
let's take a look at the ViewModel, remember this will ONLY map data to values, if you are doing something else here, you are probably giving too much responsibility to your ViewModel.
public CategoryViewModel(Category category) {
Name = category.Name;
Id = category.Id;
Products = category.Products.Select(p=> new CategoryProductViewModel(p));
Childs = category.Childs.Select(c => c.Name); // only childs names.
}
you can imagine the CategoryProductViewModel by yourself right now.
BUT (why is there always a but??)
We are doing 3 db hits, and we are fetching all the category fields because of the Find. Also Lazy Loading must be enable. Not a real solution isn't it ?
To improve this, we can change find with where... but this will delegate the Single or Find to the ViewModel, also it will return an IQueryable<Category>, where we know it should be exactly one.
Remember I said "I'm still struggling?" this is mostly why. To fix this, we should return the exact needed data from the service (also know as the ..... you know it .... yes! the ViewModel).
so let's back to our controller :
public IHttpActionResult Category(int id) {
var model = service.GetProductCategoryViewModel(id);
if (category == null) return NotFound(); //
return View(model);
}
inside the GetProductCategoryViewModel method, we can call private methods that return the different pieces and assemble them as the ViewModel.
this is bad, now my services know about viewmodels... let's fix that.
We create an interface, this interface is the actual contract of what this method will return.
ICategoryWithProductsAndChildsIds // quite verbose, i know.
nice, now we only need to declare our ViewModel as
public class CategoryViewModel : ICategoryWithProductsAndChildsIds
and implement it the way we want.
The interface looks like it has too many things, of course it can be splitted with ICategoryBasic, IProducts, IChilds, or whatever you may want to name those.
So when we implement another viewModel, we can choose to do only IProducts.
We can have our services having methods (private or not) to retrieve those contracts, and glue the pieces in the service layer. (Easy to say than done)
When I get into a fully working code, I might create a blog post or a github repo, but for now, I don't have it yet, so this is all for now.

I believe the Repository should be only for CRUD operations.
public interface IRepository<T>
{
Add(T)
Remove(T)
Get(id)
...
}
So IRepository would have: Add, Remove, Update, Get, GetAll and possibly a version of each of those that takes a list, i.e, AddMany, RemoveMany, etc.
For performing search retrieval operations you should have a second interface such as an IFinder. You can either go with a specification, so IFinder could have a Find(criteria) method that takes criterias. Or you can go with things like IPersonFinder which would define custom functions such as: a FindPersonByName, FindPersonByAge etc.
public interface IMyObjectFinder
{
FindByName(name)
FindByEmail(email)
FindAllSmallerThen(amount)
FindAllThatArePartOf(group)
...
}
The alternative would be:
public interface IFinder<T>
{
Find(criterias)
}
This second approach is more complex. You need to define a strategy for the criterias. Are you going to use a query language of some sort, or a more simple key-value association, etc. The full power of the interface is also harder to understand from simply looking at it. It's also easier to leak implementations with this method, because the criterias could be based around a particular type of persistence system, like if you take a SQL query as criteria for example. On the other hand, it might prevent you from having to continuously come back to the IFinder because you've hit a special use case that requires a more specific query. I say it might, because your criteria strategy will not necessarily cover 100% of the querying use cases you might need.
You could also decide to mix both together, and have an IFinder defining a Find method, and IMyObjectFinders that implement IFinder, but also add custom methods such as FindByName.
The service acts as a supervisor. Say you need to retrieve an item but must also process the item before it is returned to the client, and that processing might require information found in other items. So the service would retrieve all appropriate items using the Repositories and the Finders, it would then send the item to be processed to objects that encapsulates the necessary processing logic, and finally it would return the item requested by the client. Sometime, no processing and no extra retrievals will be required, in such cases, you don't need to have a service. You can have clients directly call into the Repositories and the Finders. This is one difference with the Onion and a Layered architecture, in the Onion, everything that is more outside can access everything more inside, not only the layer before it.
It would be the role of the repository to load the full hierarchy of what is needed to properly construct the item that it returns. So if your repository returns an item that has a List of another type of item, it should already resolve that. Personally though, I like to design my objects so that they don't contain references to other items, because it makes the repository more complex. I prefer to have my objects keep the Id of other items, so that if the client really needs that other item, he can query it again with the proper Repository given the Id. This flattens out all items returned by the Repositories, yet still let's you create hierarchies if you need to.
You could, if you really felt the need to, add a restraining mechanism to your Repository, so that you can specify exactly which field of the item you need. Say you have a Person, and only care for his name, you could do Get(id, name) and the Repository would not bother with getting every field of the Person, only it's name field. Doing this though, adds considerable complexity to the repository. And doing this with hierarchical objects is even more complex, especially if you want to restrict fields inside fields of fields. So I don't really recommend it. The only good reason for this, to me, would be cases where performance is critical, and nothing else can be done to improve the performance.

In Domain Driven Design the repository is responsible for retrieving the whole Aggregate.

Onion and Hexagonal Architectures purpose is to invert the dependency from domain->data access.
Rather than having a UI->api->domain->data-access,
you'll have something like UI->api->domain**<-**data-access
To make your most important asset, the domain logic, is in the center and free of external dependencies.
Generally by splitting the Repository into Interface/Implementation and putting the interface along with the business logic.
Now to services, there's more that one type of services:
Application Services: your controller and view model, which are external concerns for UI and display and are not part of the domain
Domain Services: which provide domain logic. In you're case if the logic you're having in application services starts to do more that it's presentation duties. you should look at extracting to a domain service
Infrastructure Services: which would, as with repositories, have an interface within the domain, and an implementation in the outer layers
#Bart Calixto, you may have a look at CQRS, building your view model is too complex when you're trying to use Repositories which you design for domain logic.
you could just rewrite another repo for the ViewModel, using SQL joins for example, and it doesn't have to be in the domain

is it the role of repository to load the complete hierarchy ?
Short answer: yes, if the repository's outcome is a hierarchy
The role of repository is to load whatever you want, in any shape you need, from the datasource (e.g. database, file system, Lucene index, etc).
Let's suppose a repository (interface) has the GetSomeHierarchyOrListBySomeCriteria operation - the operation, its parameters and its outcome are part of the application core!
Let's focus on the outcome: it doesn't matter it's shape (list, hierarchy, etc), the repository implementation is supposed to do everything necessary to return it.
If one is using a NoSql database than GetSomeHierarchyOrListBySomeCriteria implementation might need only one NoSql-database-query with no other conversions or transformations to get the desired outcome (e.g. hierarchy). For a SQL database on the other hand, the same outcome might imply multiple queries and complex conversions or transformations - but that's an implementation detail, the repository interface is the same.
repositories vs domain services
According to The Onion Architecture : part 1, and I'm pointing here about the official page, not someone's else interpretation:
The first layer around the Domain Model is typically where we would
find interfaces that provide object saving and retrieving behavior,
called repository interfaces. [...] Only the interface is in the application core.
Notice the Domain Services layer above Domain Model one.
Starting with the second official page, The Onion Architecture : part 2, the author forgets about Domain Services layer and is depicting IConferenceRepository as part of the Object Services layer which is right above Domain Model, replacing Domain Services layer! The Object Services layer continues in The Onion Architecture : part 3, so I ask: what Domain Services? :)))
It seems to me that author's intent for Object Services or Domain Services is to consist only of repositories, otherwise he leaves no clue for something else.

Related

How to fully charge a business entity in a service layer

I can't really find a satisfying solution for that problem. I have a n-layers application :
UI
Presentation (Domain Model used as DTO, ViewModels are then presented)
Business Layer (Domain Model)
Repository and DAL (Data Model)
My problem is that I need to work with full objects in my business layer. However I can't figure out what is the best way to load them. The question may look stupid - and perhaps it is - but I'm very puzzled by it. I have the following classes (just to illustrate):
public class Library
{
int ID {get;set;}
string Name {get;set;}
Book[] Novels {get;set;}
Book[] TextBooks {get;set;}
}
public class Book
{
int ID {get;set;}
Library[] SalePoints {get;set;}
string Name {get;set;}
string Type {get;set;}
}
And I have two Service Methods LoadLibrary and LoadBook whose aim is to populate these respective models. My problem is that it looks like I will get into an infinite loop. I'll explain myself right now.
I have pre-loaded domain models coming from the Repositories (The repositories convert the Data Models into domain models using valueinjecter (unflatenning), so basically the simple fields (int, string, etc..), are populated in the resulting domain model but the IEnumerable properties are not. That's why I'm finishing to load them in the Service Layer. (There are also two reaons why I can't fully load them in my repositories : 1/ I'm using a generic repository and 2/ The loading logic relay on business rules)
Let us say that I do the following :
public class LibrairiesProcessor
{
public Library LoadLibrairyObject(int ID)
{
Library l = UnitOfWork.LibraryRepo.GetByID(ID); // Only retrieve "simple" properties, here it will get the Name and the ID properties;
l.Novels = UnitOfWork.BookRepo.Get(b=>b.LibrairyID==l.ID && b.Type="Novel");
l.TextBooks= UnitOfWork.BookRepo.Get(b=>b.LibrairyID==l.ID && b.Type="TextBook");
for(int i=0;i<l.Novels.Count();i++)
{
l.Novels[i] = BooksProcessor.LoadBookObject(l.Novels[i].ID);
}
}
}
and
public class BooksProcessor
{
public Book LoadBookObject(int ID)
{
Book b = UnitOfWork.LibraryRepo.GetByID(ID); // Only retrieve "simple" properties, here it will get the Name and the ID properties;
b.SalesPoint = // Get From repo using the Unit of work
for(int i=0;i<b.SalesPoint.Count();i++)
{
b.SalesPoint[i] = LibrairyProcessor.LoadLibraryObject(b.SalesPoint[i].ID);
}
}
}
Isn't there an infinite Loop ? LoadLibraryObject() calling LoadBookObject() and vice versa... And especially when you come to the book whose SalePoint is the librairy who triggered LoadBookObject()... at best the same work is done twice, but I really suspect that it will never end.
So I'm wondering if I'm doing the things right. My goal is to have fully loaded objects to avoid wondering if the object is enough loaded before using it, but I'm not sure of the solution I've came up with. How do you usually achieve that ?
It looks like a trivial issue but seriously I can't figure out how to load my stuff. I feel like I have a dilemma :
1/ Manually Populating all the properties and sub properties by using UnitOfWork.Repository, but I will have a lot of code and a lot of redundant code.
2/ Live with partially loaded domain models with some properties set to null, but I really don't want that. And since I'm not working with EF objects directly since my domain model is complex, I can't use their lazy loading stuff.
3/Call the Service LoadObject Methods from one LoadObjectMethod to an other, to avoid code redundancy, but it looks like I'm introducing a lot of recursivity.
How should I handle that ?
Thanks !
This is probably best suited for CodeReview, but here are a few thoughts that may save you some trouble :
Having a whole separate DAL object model might be overkill. Most modern ORMs will take care of the domain objects/DB mapping for you without polluting your domain model with persistence stuff. See Should I create in BLL project class the same like poco class in DAL project and return it to UI project if I want to display data from database?
Having a generic repository seems like a poor excuse for not being able to load lists of sub-entities. As for "the loading logic relies on business rules", if you're referring to the Novels/TextBooks distinction, there are other, less class-intensive ways of doing this.
"since I'm not working with EF objects directly since my domain model is complex, I can't use their lazy loading stuff" : how exactly is your model complex ? Technically speaking, why couldn't you use lazy loading ?
As a good practice, Aggregates shouldn't refer to one another with navigatable properties but with (lists of) ids. The object that got an Aggregate root from a Repository will call another Repository if it wants to load associated aggregate roots.
UnitOfWork.LibraryRepo looks awkward. The UoW should be injected or directly instantiated in the method, not made available as a singleton. Same is true for the Repository. Things will be more testable and loosely coupled if you pass an ILibraryRepo around to the method instead. Unit of Work and Repository are two separate concepts, they somehow converge in Entity Framework but from the outside, they shouldn't look as tightly tied togteher as that.

ServiceStack new service side by side ASP.NET MVC website

In the examples for ServiceStack I don't see a single application that is ASP.NET MVC website first and then made ServiceStack service second.
Let's take a very simple ASP.NET MVC web application that renders products through Views. It uses controllers, views, models and viewmodels.
Let's say we have a model of Product which gets persisted into a document DB. Let's assume we have a viewmodel of ProductViewModel which gets mapped from Product and display within MVC Razor View/PartialView.
so this is a web side of things..now let's assume we want to add a service returning products to various clients like the Windows 8 applications.
Should the request/response classes be completely disconnected from what we already have? Our ProductViewModel might already contain everything we want to return from the service.
Since we already have Product (model class) we can't have another Product class in the API namespace..well we could but that makes things unclear and I'd like to avoid that.
So, should we introduce standalone ProductRequest class and ProductRequestResponse (inherits ProductViewModel) class in the API namespace?
Like so ProductRequestResponse : ProductViewModel?
What i'm saying is, we already have the Model and ViewModel classes and to construct Request and Response classes for the SS service we would have to create another two files, mostly by copying everything from the classes we already have. This doesn't look DRY to me, it might follow the separation of concerns guidelines but DRY is important too, actually more than separating everything (separating everything leads to duplication of code).
What I would like to see is a case where a web application has already been made, it currently features Models and ViewModels and returns the appropriate Views for display on the Web but can be extended into a fully functional service to support programmatic clients? Like AJAX clients etc...with what we already have.
Another thing:
If you take a look at this example https://github.com/ServiceStack/ServiceStack.Examples/blob/master/src/ServiceStack.MovieRest/MovieService.cs
you will see there is Movie Request class and Movies Request class (one for single movie request, the other one for a list of movies). As such, there are also two services, MovieService and MoviesService, one dealing with requests for a single movie, the other one for a genre of movies.
Now, while I like SS approach to services and I think it is the right one, I don't like this sort of separation merely because of the type of request. What if I wanted movies by director? Would I be inventing yet another request class having a Director property and yet another service (MoviesByDirector) for it?
I think the samples should be oriented towards one service. Everything that has to deal with movies need to be under one roof. How does one achieve that with ServiceStack?
public class ProductsService : Service
{
private readonly IDocumentSession _session;
private readonly ProductsHelperService _productsHelperService;
private readonly ProductCategorizationHelperService _productCategorization;
public class ProductRequest : IReturn<ProductRequestResponse>
{
public int Id { get; set; }
}
// Does this make sense? 
// Please note, we use ProductViewModel in our Views and it holds everything we'd want in service response also
public class ProductRequestResponse : ProductViewModel
{
}
public ProductRequestResponse GetProducts(ProductRequest request)
{
ProductRequestResponse response = null;
if (request.Id >= 0)
{
var product = _session.Load<Product>(request.Id);
response.InjectFrom(product);
}
return response;
}
}
The Service Layer is your most important Contract
The most important interface that you can ever create in your entire system is your external facing service contract, this is what consumers of your service or application will bind to, i.e. the existing call-sites that often won't get updated along with your code-base - every other model is secondary.
DTOs are Best practices for remote services
In following of Martin Fowler's recommendation for using DTOs (Data Transfer Objects) for remote services (MSDN), ServiceStack encourages the use of clean, untainted POCOs to define a well-defined contract with that should kept in a largely implementation and dependency-free .dll. The benefits of this allows you to be able to re-use typed DTOs used to define your services with, as-is, in your C#/.NET clients - providing an end-to-end typed API without the use of any code-gen or other artificial machinery.
DRY vs Intent
Keeping things DRY should not be confused with clearly stating of intent, which you should avoid trying to DRY or hide behind inheritance, magic properties or any other mechanism. Having clean, well-defined DTOs provides a single source of reference that anyone can look at to see what each service accepts and returns, it allows your client and server developers to start their work straight away and bind to the external service models without the implementation having been written.
Keeping the DTOs separated also gives you the freedom to re-factor the implementation from within without breaking external clients, i.e. your service starts to cache responses or leverages a NoSQL solution to populate your responses with.
It's also provides the authoritative source (that's not leaked or coupled inside your app logic) that's used to create the auto-generated metadata pages, example responses, Swagger support, XSDs, WSDLs, etc.
Using ServiceStack's Built-in auto-mapping
Whilst we encourage keeping separate DTO models, you don't need to maintain your own manual mapping as you can use a mapper like AutoMapper or using ServiceStack's built-in Auto Mapping support, e.g:
Create a new DTO instance, populated with matching properties on viewModel:
var dto = viewModel.ConvertTo<MyDto>();
Initialize DTO and populate it with matching properties on a view model:
var dto = new MyDto { A = 1, B = 2 }.PopulateWith(viewModel);
Initialize DTO and populate it with non-default matching properties on a view model:
var dto = new MyDto { A = 1, B = 2 }.PopulateWithNonDefaultValues(viewModel);
Initialize DTO and populate it with matching properties that are annotated with the Attr Attribute on a view model:
var dto = new MyDto { A=1 }.PopulateFromPropertiesWithAttribute<Attr>(viewModel);
When mapping logic becomes more complicated we like to use extension methods to keep code DRY and maintain the mapping in one place that's easily consumable from within your application, e.g:
public static class MappingExtensions
{
public static MyDto ToDto(this MyViewModel viewModel)
{
var dto = viewModel.ConvertTo<MyDto>();
dto.Items = viewModel.Items.ConvertAll(x => x.ToDto());
dto.CalculatedProperty = Calculate(viewModel.Seed);
return dto;
}
}
Which is now easily consumable with just:
var dto = viewModel.ToDto();
If you are not tied specifically to ServiceStack and just want "fully functional service to support programmatic clients ... with what we already have", you could try the following: Have your controllers return either a ViewResult or a JsonResult based on the request's accept header - Request.AcceptTypes.Contains("text/html") or Request.AcceptTypes.Contains("application/json").
Both ViewResult and JsonResult are ActionResult, so the signature of actions remains the same, and both View() and Json() accept a ViewModel. Furthermore, if you have a ControllerBase you can make a base method (for example protected ActionResult RespondWith(Object viewModel)) which calls either View() or Json() so the change to existing code is minimal.
Of course, if your ViewModels are not pure (i.e. have some html-specific stuff or you rely on some ViewBag magic) then it's a little more work. And you won't get SOAP or other binding types provided by ServiceStack, but if your goal is to support a JSON data interface with minimal code changes to the existing MVC app then this could be a solution.
Lp

Real World ASP.NET MVC Repositories

In the real world, Controllers can potentially need to use data from a variety of database tables and other data stores. For example:
[Authorize]
public class MembersController : Controller
{
ICourseRepository repCourse;
IUserCourseRepository repUserCourse;
IMember member;
public MembersController(ICourseRepository repCourse, IUserCourseRepository repUserCourse, IMember member)
{
this.repCourse = repCourse;
this.repUserCourse = repUserCourse;
this.member = member;
}
So:
Should I use a repository for each table?
I guess this is where the concept of agregates comes into play? Should I have one Repository per aggregate?
Do I just add as many Repositories as I need to the constructor of the Controller?
Is this a sign that my design is wrong?
NOTE:
The IMember interface essentially represents a helper object that puts a nice face on the Membership provider. Ie, it puts all the code in one place. For example:
Guid userId;
public Guid UserId
{
get
{
if (userId == null)
{
try
{
userId = (Guid) Membership.GetUser().ProviderUserKey;
}
catch { }
}
return userId;
}
}
One problem with that is surely caching this kind of output. I can feel another question coming on.
EDIT:
I'm using Ninject for DI and am pretty sold on the whole DI, DDD and TDD thing. Well, sort of. I also try to be a pragmatist...
1. Should I use a repository for each table?
Probably not. If you have a repository per table, you are essentially doing Active Record. I also personally prefer to avoid calling these classes "Repository" because of the confusion that can occur between Domain Driven Design's concept of a "Repository" and the class-per-table "Repository" that seems to have become commonly used with Linq2SQL, SubSonic, etc. and many MVC tutorials.
2. I guess this is where the concept of agregates comes into play? Should I have one Repository per aggregate?
Yes and yes. If you are going to go this route.
'3.' Do I just add as many Repositories as I need to the constructor of the Controller?
I don't let my controllers touch my repositories directly. And I don't let my Views touch my domain classes directly, either.
Instead, my controllers have Query classes that are responsible for returning View Models. The Query classes reference whatever repositories (or other sources of data) they need to compile the View Model.
Well #awrigley, here is my advise:
Q: Should I use a repository for each table?
A: No, as you mentioned on question 2. use a repository per aggregate and perform the operations on aggregate root only.
Q: Do I just add as many Repositories as I need to the constructor of the Controller?
A: I guess you´re using IoC and constructor-injection, well, in this case, make sure you only pass real dependencies. this post may help you decide on this topic.
(pst! that empty catch is not a nice thing!!) ;)
Cheers!
This all depends on how "Domain Driven Design" your going to be. Do you know what an Aggregate Root is? Most of the time a generically typed repository that can do all your basic CRUD will suffice. Its only when you start having thick models with context and boundaries that this starts to matter.

Service Layer are repeating my Repositories

I'm developing an application using asp.net mvc, NHibernate and DDD. I have a service layer that are used by controllers of my application. Everything are using Unity to inject dependencies (ISessionFactory in repositories, repositories in services and services in controllers) and works fine.
But, it's very common I need a method in service to get only object in my repository, like this (in service class):
public class ProductService {
private readonly IUnitOfWork _uow;
private readonly IProductRepository _productRepository;
public ProductService(IUnitOfWork unitOfWork, IProductRepository productRepository) {
this._uow = unitOfWork;
this._productRepository = productRepository;
}
/* this method should be exists in DDD ??? It's very common */
public Domain.Product Get(long key) {
return _productRepository.Get(key);
}
/* other common method... is correct by DDD ? */
public bool Delete(long key) {
usign (var tx = _uow.BeginTransaction()) {
try
{
_productRepository.Delete(key);
tx.Commit();
return true;
} catch {
tx.RollBack();
return false;
}
}
}
/* ... others methods ... */
}
This code is correct by DDD ? For each Service class I have a Repository, and for each service class need I do a method "Get" for an entity ?
Thanks guys
Cheers
Your ProductService doesn't look like it followed Domain-Driven Design principles. If I understand it correctly, it is a part of Application layer between Presentation and Domain. If so, the methods on ProductService should have business meaning with regard to products.
Let's talk about deleting products. Is it as simple as executing delete on the database (NHibernate, or whatever?) I think it is not. What about orders which reference the to-be-deleted product? And so on and so forth. Btw, Udi Dahan wrote a great article on deleting entities.
Bottom line is, if your application is so simple that services do really replicate your repositories and contain only CRUD operations, you probably shouldn't do DDD, throw away your repositories and let services operate on entities (which would be simple data containers in that case).
On the other hand, if there is a complicated behavior (like the one with handling 'deleted' products), there is a point in going DDD path and I strongly advocate doing so.
PS. Despite which approach (DDD or not) you will eventually take I would encourage you to use some Aspect Oriented Programming to handle transaction and exception related stuff. You would end up with way to many methods such as DeleteProduct with same TX and exception handling code.
That looks correct from my perspective. I really didn't like repeating service and repository method names over and over in my asp.net MVC project, so I went for a generic repository approach/pattern. This means that I really only need one or two Get() methods in my repository to retrieve my objects. This is possible for me because I am using Entity Framework and I just have my repository's get() method return a IQueryable. Then I can just do the following:
Product product = from p in _productRepository.Get() where p.Id == Id select p;
You can probably replicate this in NHibernate with linq -> NHibernate.
Edit: This works for DDD because this still allows me to interchange my DAL/repositories as long as the data library I am using (Nhibernate, EF, etc..) supports IQueryable.
I am not sure how to do a generic repository without IQueryable, but you might be able to use delegates/lambda functions to incorporate it.
Edit2: And just in case I didn't answer your question correctly, if you are asking if you are supposed to call your repository's Get() method from the service then yes, that is the correct DDD design as well. The reason is that the service layer is supposed to handle all your business logic, so it decides exactly how and what data to retrieve (for example, do you want it in alphabetical order, unordered, etc...). It also means that it can perform validation after loading if needed or validation before deleting and/or saving.
This means that the service layer doesn't care exactly how that data is stored and retrieved, it only decides what data is stored and retrieved. It then calls on the repository to handle the request correctly and retrieve/store the data in the way the service layer tells it to. Thus you have correct separation of concerns.

Best practices when limiting changes to specific fields with LINQ2SQL

I was reading Steven Sanderson's book Pro ASP.NET MVC Framework and he suggests using a repository pattern:
public interface IProductsRepository
{
IQueryable<Product> Products { get; }
void SaveProduct(Product product);
}
He accesses the products repository directly from his Controllers, but since I will have both a web page and web service, I wanted to have add a "Service Layer" that would be called by the Controllers and the web services:
public class ProductService
{
private IProductsRepository productsRepsitory;
public ProductService(IProductsRepository productsRepository)
{
this.productsRepsitory = productsRepository;
}
public Product GetProductById(int id)
{
return (from p in productsRepsitory.Products
where p.ProductID == id
select p).First();
}
// more methods
}
This seems all fine, but my problem is that I can't use his SaveProduct(Product product) because:
1) I want to only allow certain fields to be changed in the Product table
2) I want to keep an audit log of each change made to each field of the Product table, so I would have to have methods for each field that I allow to be updated.
My initial plan was to have a method in ProductService like this:
public void ChangeProductName(Product product, string newProductName);
Which then calls IProductsRepository.SaveProduct(Product)
But there are a few problems I see with this:
1) Isn't it not very "OO" to pass in the Product object like this? However, I can't see how this code could go in the Product class since it should just be a dumb data object. I could see adding validation to a partial class, but not this.
2) How do I ensure that no one changed any other fields other than Product before I persist the change?
I'm basically torn because I can't put the auditing/update code in Product and the ProductService class' update methods just seem unnatural (However, GetProductById seems perfectly natural to me).
I think I'd still have these problems even if I didn't have the auditing requirement. Either way I want to limit what fields can be changed in one class rather than duplicating the logic in both the web site and the web services.
Is my design pattern just bad in the first place or can I somehow make this work in a clean way?
Any insight would be greatly appreciated.
I split the repository into two interfaces, one for reading and one for writing.
The reading implements IDisposeable, and reuses the same data-context for its lifetime. It returns the entity objects produced by linq to SQL. For example, it might look like:
interface Reader : IDisposeable
{
IQueryable<Product> Products;
IQueryable<Order> Orders;
IQueryable<Customer> Customers;
}
The iQueryable is important so I get the delayed evaluation goodness of linq2sql. This is easy to implement with a DataContext, and easy enough to fake. Note that when I use this interface I never use the autogenerated fields for related rows (ie, no fair using order.Products directly, calls must join on the appropriate ID columns). This is a limitation I don't mind living with considering how much easier it makes faking read repository for unit tests.
The writing one uses a separate datacontext per write operation, so it does not implement IDisposeable. It does NOT take entity objects as input or out- it takes the specific fields needed for each write operation.
When I write test code, I can substitute the readable interface with a fake implementation that uses a bunch of List<>s which I populate manually. I use mocks for the write interface. This has worked like a charm so far.
Don't get in a habit of passing the entity objects around, they're bound to the datacontext's lifetime and it leads to unfortunate coupling between your repository and its clients.
To address your need for the auditing/logging of changes, just today I put the finishing touches on a system I'll suggest for your consideration. The idea is to serialize (easily done if you are using LTS entity objects and through the magic of the DataContractSerializer) the "before" and "after" state of your object, then save these to a logging table.
My logging table has columns for the date, username, a foreign key to the affected entity, and title/quick summary of the action, such as "Product was updated". There is also a single column for storing the change itself, which is a general-purpose field for storing a mini-XML representation of the "before and after" state. For example, here's what I'm logging:
<ProductUpdated>
<Deleted><Product ... /></Deleted>
<Inserted><Product ... /></Inserted>
</ProductUpdated>
Here is the general purpose "serializer" I used:
public string SerializeObject(object obj)
{
// See http://msdn.microsoft.com/en-us/library/bb546184.aspx :
Type t = obj.GetType();
DataContractSerializer dcs = new DataContractSerializer(t);
StringBuilder sb = new StringBuilder();
XmlWriterSettings settings = new XmlWriterSettings();
settings.OmitXmlDeclaration = true;
XmlWriter writer = XmlWriter.Create(sb, settings);
dcs.WriteObject(writer, obj);
writer.Close();
string xml = sb.ToString();
return xml;
}
Then, when updating (can also be used for logging inserts/deletes), grab the state before you do your model-binding, then again afterwards. Shove into an XML wrapper and log it! (or I suppose you could use two columns in your logging table for these, although my XML approach allows me to attach any other information that might be helpful).
Furthermore, if you want to only allow certain fields to be updated, you'll be able to do this with either a "whitelist/blacklist" in your controller's action method, or you could create a "ViewModel" to hand in to your controller, which could have the restrictions placed upon it that you desire. You could also look into the many partial methods and hooks that your LTS entity classes should have on them, which would allow you to detect changes to fields that you don't want.
Good luck! -Mike
Update:
For kicks, here is how I deserialize an entity (as I mentioned in my comment), for viewing its state at some later point in history: (After I've extracted it from the log entry's wrapper)
public Account DeserializeAccount(string xmlString)
{
MemoryStream s = new MemoryStream(Encoding.Unicode.GetBytes(xmlString));
DataContractSerializer dcs = new DataContractSerializer(typeof(Product));
Product product = (Product)dcs.ReadObject(s);
return product;
}
I would also recommend reading Chapter 13, "LINQ in every layer" in the book "LINQ in Action". It pretty much addresses exactly what I've been struggling with -- how to work LINQ into a 3-tier design. I'm leaning towards not using LINQ at all now after reading that chapter.

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