Application design using DDD - asp.net-mvc

I am designing solution strucure for an application. I am planning to use Domain driven design. Asp.net MVC and Entity framework. Need your inputs in some areas.
Data Access is designed using Entity framework code first
Reposirotires are built on top of EF Data Acces
Domain model is designed usind domain model on top of Repositories
Application serveices are built on top of Damain layer
UI is developed on top of Application services
The flow is
UI (controller) --> Application service --> Domain Layer --> Repositories --> Data Access --> Data base.
I am not very clear of how to share the data in between the layers.
My Domain model can be used to sahre data between Repositories, Data Access and Domain Layer. I am just thinking the way the data should be passed from Daomin Layert to Application Service and Application Service to UI. I can use DTOs, But not sure weather it is a good option or not, as i have some models are already in Domain Model, View model in UI.

Reuse Domain Model or UI Model is not good, it will make your layers are tightly coupled. It's very difficult to develop large scale applications that way.
What you think is correct, Application is a thin layer, it's just a bunch of Actions which will be called directly from UI layer and information will be passed through an object called ActionParameter. ActionParameters are defined in Application layer and ActionParameter objects are constructed on UI layer and passed to Application layer.
Application will retrieve data from DB via Data Access Layer. An Query Action sometimes need to fetch data from many source, different domain entities and data need to be projected, transformed or formatted before return to UI layer. We will have something like ActionResult objects that contains all data to be returned to UI layer.
It seems there will be a lot of codes but I think it's necessary. Each layer has its own purpose and when we change one, other layers won't be impacted.

Given the flow you describe, create view models in the UI layer to be instantiated by the controller. A view model is simple object to which the view binds. This should be decoupled from the underlying domain model to address concerns noted by namkha87.
As far as the data access layer, you can use the domain objects themselves for object-relational mapping since EF allows this. There is no need for an intermediate DTO here.
Another thing to consider is separating the model used for queries from one's used to invoke behavior. This way, you can ensure that an application service never exposes behavioral domain objects, only read-models. The problem with having an application service expose domain objects to outer layers is that it will allow those outer layers to invoke behaviors on those objects the results being undefined. When you only return read-only objects with no behaviors, this isn't a problem. For data coming back, don't have the UI layer created domain objects directly - you should distinguish between entities and simple data.

Related

MVC project setup at the enterprise level. What's expected?

By reading at several articles posted here, I get mismatched information about how to properly configure a project.
I am looking for advise about how the pros do it at the enterprise level.
I see different schools of though about this, some people design in a truly N-Tier fashion, others prefer to use EF Code First directly in the MVC application and have FAT models and sort of have one big MVC app with logical separation of concerns, etc.
So for a mid-size project this is my set up and I want to ask for your opinions about it.
MVC application
Models -- Here my models have just what the view needs, validation logic, etc. These models are designed to pass data between the controller and views only.
Controllers -- Call the service layer where business logic lives and gets domain models back if needed. Converts domain models into view models and vice-versa.
Service layer
This is were the business (domain) logic lives.
The service layer is also in charge of communicating with the data layer to perform CRUD operations.
The service layer returns domain models to the controller in the MVC application and also expects domain models when invoked.
Data Repository layer
The data layer is a thin wrapper around EF and performs CRUD operations.
usually I will have a Code First approach where entity models are created for me by EF.
I convert the EF code first models to domain models and return these to the service layer.
The data layer also expect domain models from the service layer that in turn I convert to EF code first models and persist to the DB.
Domain Model layer
These are the domain models that are used and shared thorough the applications layers.
What's best design?
What's expected at the enterprise level?
There's nothing particularly wrong with the approach you've laid out. However, I do see it as overly complex. Your repository layer, in particular, is a totally unnecessary level of abstraction. You could simply just roll the EF stuff into your service layer and call it a day. Having to convert the entity into a domain model and then to a view model, is frankly, a pain. Just map your entity to your view model and back.
The only thing you should really bear in mind is that ASP.NET MVC very loosely follows the MVC pattern. There's no such thing as a true MVC Model, and trying to force something like an entity class into that mold is a huge mistake. Your Model is the combination and interaction of your entity class, view models that represent that class, and the querying logic you tuck away in your service layer.
I would like you to suggest have these layers in your project ----
Entites Layer--
it should contains only all your poco classes in a model folder.Nothing else
Data Layer----
It should contain Db interactions logic.
Also your Dbcontext class should reside in this.
You may use Repository Pattern and unit of work pattern for better seperation of concern.Use dependency injection to resolve dependencies using Unity Container(there are many other container also available).Please have a look on these design pattern and container.there are many articles available on net for this.Simply go through them thoroughly.
Service Layer ----
It should contain only service methods to call into your controller as your controller should not directly talk to data Layer.Its a much better approach and prevent your business logic from being exposed to external attacks.
MVC Layer or UI layer ---
It should contain only the controllers whose work is to call services and business logics inside them.
and View folder where we have all the views to be shown to the end users.
Its a pretty big question.I hope may be u get some idea from this.

Having MVC controllers light and models heavy

I have heard that the controller should be kept light and models heavy.
I am somewhat confused about the best practice on what should be kept in the controller and what should be kept in the model.
In our organization, we use Entity Framework where and put the tables there.
For the controller, we use LINQ and then send the info over to the view.
Kind of confused on what code should be in the Controller and in the Model.
DisclaimerThe whole topic is a giant mess. Especially when it comes to Web MVC. For all practical purposes it is impossible to use classical MVC pattern for web, because the view should be observing model. Theoretically you could implement something like that with WebSockets, but keeping a persistent model for each user is not a realistic solution.
Here is what you must know about MVC
The most important idea in both classical MVC and MVC-inspired patterns Separation of Concerns. It divides the application in two major layers:
Presentation layer
Governs the user interface. It deals with both creation of the interface and reacts to the user's manipulation of this interface. This interface might be GUI for a desktop application or HTML web page, but it also can be REST API or receiver-responder on a Mars rover. This is why a web application can implement MVC pattern in both frontend and backend.
The mandatory parts are views and controllers, but, in context of web, fully realized views usually also use multiple templates to create the interface.
Model layer
This is where all the business rules and logic lives. The M in MVC is not a single entity. Instead it is a layer, which contains different structures. Some of those structures are also responsible for interaction with storage.
What are the responsibilities of controllers ?
Controllers are part of presentation layer, which deals with user input. In context of web-based implementations, you will usually have 1:1 relationship between views and controllers, where controller receives the requests from browser and, based on the content of said requests, alters the state of model layer and view.
If you are using classical MVC or Model2 MVC, then that is the extent of controllers responsibilities.
In MVP and MVVM patterns, where you have a passive view, controller-like structures are responsible for acquiring information from model layer and passing it on to the current view instance. This post might provide some additional details on the MVC-inspired patterns.
But the controller is in no way responsible for any form of business logic. If it was, it would mean, that you have a leaking abstraction, because the structures of presentation layer would be doing work, which should be in the model layer.
Usually the controllers will the be simplest structures in you application.
What about the model ?
As mentioned before, model is a layer, which encompasses all of the domain business logic and related functionality. This layer , just like presentation layer, is made up from multiple groups of structures:
Domain Objects[1]
These structures are usually what people mean, when talking about "models". They are also known as model objects or business objects. This is where most of domain business logic ends up.
Data Storage Structures
This group would contain all of the classes, which abstract the interaction with storage (SQL databases, caching systems, noSQL, remote SOAP or REST APIs). They will usually implement some variation of data mapper or repository pattern , but you could be using some other solutions too, like unit of work. The implementation details are not so important. What is important is that they let you store data from and retrieve information into your domain objects.
Services
Or you could call the "components". There are high level abstractions in your model layer, which facilitate the interaction between domain objects and storage structures. The usually represent large chunks of model layer, like "recognition service", "mailers", "article management", and will provide the interface for presentation layer to interact with.
That's something of a religious debate.
Some like as little as possible code in their controller and other as little as possible in their model.
Do what feels natural to you in the project, but be consistent within it.
All else is dogma you can pick an example either way and make a case.
Model is the core of your application. It is best to think of models as of your business entities. Do you want to create a view of an invoice? Then Invoice be your model, it represents the underlying object.
Controller is just a way to handle requests from a client, retrieving the data from database (or updating them) and flushing out the responses.
Your thoughts about the application design should be model-centric, that's the important part.
In simple terms, Model represents the underlying data that your application will be using. It is to be designed in a way that it can be used across different applications.
For example, A model to represent News data can be used by console commands, Web service etc.
It is in model where you will have ur business logic defined, independent of the view.
Controller can be thought of as glue that binds Model and View together. They deal directly with client requests and accordingly interact with views and models.
In a well designed application, you data structure and business logic will be designed in a
Model, making it "heavy". While Controller will just interlink your model and view with the client requests, making it "light".
In the classic Model-View-Controller MVC pattern, your Model is essentially a "headless" application, with no UI and is completely UI-agnostics. It offers an API that is the functional core of the application.
The View is the user interface, however you choose to define it (web page? elevator control panel? something else?). A given application might have 1 view or it might have many views.
The Controller (or Controllers — like Views, you might have one to many Controllers for a given application) relays and transforms events, notifications and data between View and Model so as to preclude the Model from needing to know anything that is View-specific.
The idea is to isolate the core application (the Model) from the user interface (the View). From that some things follow:
The View is aware of and communicates with both Controller and Model (you're unlikely to try to wire up the View to another Model) and expected for the Controller to be aware of both View and Model.
The Controller is aware of and communicates with both View and Model.
The Model knows nothing of Controller or View.
Code that performs business logic should be in the Model, not in the Controller.
I'm no MVC expert, but try and concentrate on the fact that the controller should use the input from the user to direct them to the correct view.
I don't know if NerdDinner is an ideal example, but you can see Scott Hanselman et al does a little bit of data access from his EF context but pushes most of the other logic to service classes or helpers on the model.
I don't know if I agree with the 'models heavy' part, as I don't use the models as 'business objects'. If I really need a lot of 'business' logic, I will typically create that in a separate 'Domain' layer and may even have a separate Data Access layer on top of this. But for a lot of simple (see: non-enterprise) projects, this is overkill in my experience.

Moving Validation, Html Helpers to Service Layer in MVC

We have two WebApplication in one MVC solution, one for Desktop and the other for Mobile version.
The architecture looks like this:
Model Libraray ( including repository and DB Model )
Service Layer ( Business Logic )
Web application Project ( views , controller, viewModels for desktop )
Mobile web project ( Mobile views, controller, viewModel)
I added a service layer into this project http://www.asp.net/mvc/tutorials/validating-with-a-service-layer-cs).
as long as these two web projects have different controller but most common logic , which of following I can move to service layer.
HTML Helper classes
View Model validations
Common functions
Thanks in advance.
First to answer your question of where to position those codes
View Model validations
If there is no particular reason to use the service layer model validation I'd rather advise you to do model validation using data annotations within Model library. All you have to do is to add some attributes to your entities' properties and things will work out of the box including validation messages (if you add validation elements using Html.ValidationMessageFor() or similar) in your client side view.
HTML Helper classes
HTML Helper classes should be part of Common UI library if they're supposed to be shared. They don't belong in any of the existing layers, because all of them are presentation layer (web apps) independent. I suppose your HTML helpers will be presentation layer dependent hence a separate library would suffice.
Common functions
Depending on where you need to use common functions, they may as well be part of Model library or Service layer.
How I structure my web apps
The following are written as layers. They're of course separate projects in the whole solution so they become separate assemblies.
Objects layer - contains all common classes/enums/interfaces, general functionality and application model POCOs used by any layer; that's why it's referenced by all other layers
Data layer - has data access objects (that may as well be inherited from POCOs in the Objects layer) that are only used within this layer and perform mapping to and from application layer POCOs; There are also repositories in this layer hence this layer/assembly is referenced by the next layer (service)
Services layer - contain business logic and manipulate application model classes; gets data from presentation layer and uses Data layer to manipulate data in the backing store (wherever it may be - this is of course part of Data layer repository to communicate with the store)
Presentation layer - may be a web application or anything else; references Objects and Services layer so it's able to communicate; any objects that are presentation layer only are also created here (special view models required by views but not by services);
All these mean that my Objects layer provides means of communication between layers by providing common classes that are used to exchange data between layers.
In cases where there are certain other providers I need to implement they may be part of a separate layer, but upper layering works for the 90% of all applications. A good example would be some common library that gets reused across different applications. Depending on what that library provides it gets referenced by those layers/assemblies that need its functionality.
In you case where you have two web applications, I would create a special layer named Presentation where all common HTML functionality would be and then reference it in both web applications.

Domain Entities, DTO, and View Models

I have an ASP.NET MVC 2 application with a POCO domain model and an NHibernate repository layer. My domain model has no awareness of my viewmodels so I use automapper to go from viewmodel to entity and vice/versa.
When I introduced WCF to my project (a late requirement), I started having to deal with disconnected objects. That is, I retrieve an entity from the database with NHibernate and once that entity is serialized it becomes disconnected and each child collection is loaded regardless of whether or not I plan on using it meaning I'm doing alot of unnecessary database work.
After reading up on this, I see that it is highly recommended that you not expose your entities outside of your domain project and you should instead use DTOs.
I see the reason for this but I'm having trouble figuring out how to implement it.
Do I map from viewmodel to DTO in ASP.NET MVC, send DTOs through the service layer, and map from DTO to entity in the service layer? Where should I define my DTOs?
I like to have my service layer keep entities encapsulated within it, and return/receive only DTOs. I keep the service contracts as well as the DTO's in a separate assembly which both the MVC project and the Service implementation reference.
Inside the service call implementation, the service maps dto's to entities, then does the interaction with repositories and other entities as it needs to.
On the app/mvc project I sometimes will get lazy and just use DTO's as the models for certain actions (especially CRUDy ones). If i need a projection or something like that, then I'll make a viewmodel and convert between DTO and viewmodel with automapper etc.
How exposed your entities are is a subject of much debate. Some people will push them all the way to the view/app layer. I prefer to keep them in the service layer. I find that when the entities leave the service layer, you find yourself doing business logic type stuff anywhere where they're interacted with, stuff that should probably reside in a service.
I treat my DTOs like ViewModels because the UI layer ( MVC app ) is requesting them. You could go Entity -> DTO -> ViewModel but I think thats over engineering if the only consumer of your service is an MVC application. If somehow the DTOs will actually be used for data and not simply screen specifications then you should probably use additional mapping.
I've also simply returned entities from my WCF layer and let the automatically generated proxy objects on the client be the DTO. The entities almost become DTOs because of the proxy classes and no business logic comes over to the client.
And of course, this is all "It Depends" what your architectural goals are. This question is borderline subjective and argumentative IMHO.
I like defining the DTO in the MVC project and then creating extension methods to transform from domain entity to DTO (and vice-versa).
The transformation would take place in the mvc functions.
I just wrote a post about a way of getting around all this DTO <-> DO transformation. Maybe you check it out http://codeblock.engio.net/?p=17

Should a service layer return view models for an MVC application?

Say you have an ASP.NET MVC project and are using a service layer, such as in this contact manager tutorial on the asp.net site: http://www.asp.net/mvc/tutorials/iteration-4-make-the-application-loosely-coupled-cs
If you have viewmodels for your views, is the service layer the appropriate place to provide each viewmodel? For instance, in the service layer code sample there is a method
public IEnumerable<Contact> ListContacts()
{
return _repository.ListContacts();
}
If instead you wanted a IEnumerable, should it go in the service layer, or is there somewhere else that is the "correct" place?
Perhaps more appropriately, if you have a separate viewmodel for each view associated with ContactController, should ContactManagerService have a separate method to return each viewmodel? If the service layer is not the proper place, where should viewmodel objects be initialized for use by the controller?
Generally, no.
View models are intended to provide information to and from views and should be specific to the application, as opposed to the general domain. Controllers should orchestrate interaction with repositories, services (I am making some assumptions of the definition of service here), etc and handle building and validating view models, and also contain the logic of determining views to render.
By leaking view models into a "service" layer, you are blurring your layers and now have possible application and presentation specific mixed in with what should focused with domain-level responsibilities.
No, I don't think so. Services should care only about the problem domain, not the view that renders results. Return values should be expressed in terms of domain objects, not views.
As per the traditional approach or theory wise, ViewModel should be part of User interface layer. At least the name says so.
But when you get down to implementing it yourself with Entity Framework, MVC, Repository etc, then you realise something else.
Someone has to map Entity/DB Models with ViewModels(DTO mentioned in the end). Should this be done in [A] the UI layer (by the Controller), or in [B] the Service layer?
I go with Option B. Option A is a no no because of the simple fact that several entity models combine together to form a ViewModel. We may not pass unnecessary data to UI layer, whereas in option B, the service can play with data and pass only the required/minimum to the UI layer after mapping (to the ViewModel).
But still, let us go with option A, put ViewModel in the UI layer(and entity model in Service layer).
If the Service layer needs to map to the ViewModel, then the Service layer need to access ViewModel in UI layer. Which library/project? The Viewmodel should be in a separate project in the UI layer, and this project needs to be referenced by Service Layer. If the ViewModel is not in a separate project, then there is circular reference, so no go. It looks awkward to have Service layer accessing UI layer but still we could cope with it.
But what if there is another UI app using this service? What if there is a mobile app? How different can the ViewModel be? Should the Service access the same view model project? Will all UI projects access the same ViewModel project or they have their own?
After these considerations my answer would be to put the Viewmodel project in Service Layer. Every UI layer has to access the Service layer anyways! And there could be a lot of similar ViewModels that they all could use (hence mapping becomes easier for service layer). Mappings are done through linq these days, which is another plus.
Lastly, there is this discussion about DTO. And also about data annotation in ViewModels. ViewModels with data annotations(Microsoft.Web.Mvc.DataAnnotations.dll) cannot reside in service layer instead they reside in UI layer(but ComponentModel.DataAnnotations.dll can reside in service layer). If all projects are in one solution(.sln), then it doesn't matter which layer you put it. In enterprise applications, each layer will have its own solution.
So DTO actually is a ViewModel because mostly there will be one on one mapping between the two(say with AutoMapper). Again DTO still has the logic needed for the UI(or multiple applications) and resides in Service Layer. And the UI layer ViewModel(if we use Microsoft.Web.Mvc.DataAnnotations.dll) is just to copy the data from DTO, with some 'behavior'/attributes added to it.
[Now this discussion is about to take an interesting turn read on...:I]
And don't think data-annotation attributes are just for UI. If you limit the validation using System.ComponentModel.DataAnnotations.dll
then the same ViewModel can also be used for front-end & backend validation(thus removing UI-residing-ViewModel-copy-of-DTO). Moreover attributes can also be used in entity models. Eg: using .tt, Entity Framework data models can be autogenerated with validation attributes to do some DB validations like max-length before sending to the back end. This saves round-trips from UI to backend for validation. It also enables back-end to re-validate for security reasons. So a model is a self-reliant validator and you can pass it around easily. Another advantage is that if backend validation changes in DB then .tt (reads DB specifics and create the attribute for entity class) will automatically pick that up. This can force UI validation unit tests to fail as well, which is a big plus(so we can correct it and inform all UIs/consumers instead of accidentally forgetting and failing). Yes, the discussion is moving towards a good framework design. As you can see it is all related: tier-wise validation, unit test strategy, caching strategy, etc.
Although not directly related to the question. 'ViewModel Façade' mentioned in this must watch channel 9 link is also worth exploring. It starts exactly at 11 minutes 49 seconds in the video. Because this would be the next step/thought once your current question given above is sorted out: 'How to organize ViewModels?'
And Lastly, many of these model vs logic issues could be resolved with REST. Because every client can have the intelligence to query the data and get only the data that it needs. And it keeps the model in UI, there is no server/service layer model/logic. The only duplication then will be on the automated tests that each client need to perform. Also if there are changes in data then some clients fail if they do not adapt to the change. The question then is, are you removing service layer altogether(and the models they carry) or pushing the service layer up to your UI project(so model issue still persists) which calls the REST API. But in terms of the responsibility of Service layer, they are the same regardless.
Also in your example "_repository.ListContacts()" is returning a ViewModel from repository. This is not a mature way. Repositories should provide entity models or DB models. This gets converted to view models and it is this view model that is returned by the service layer.
This has come a bit of an "it depends" where I work - we have generally had a controller consuming some service(s) - then combining returned DTO's into a 'ViewModel' that would then get passed to the client - either via JSON result, or bound in the Razor Template.
Thing is, about 80% of the time - the mapping of DTO to ViewModel has been 1-1. We are starting to move towards 'Where needed, just consume the DTO directly, but when the DTO and what we need in our client/view don't match up - then we create a ViewModel and do the mapping between objects as needed'.
Although I'm still not convinced that this is the best or right solution - as it ends up leading to some heated discussions of 'are we just adding X to the DTO to meet the needs of the view?'
I suppose that depends on what you consider the "services" to be. I've never really liked the term service in the context of a single class; it's incredibly vague and doesn't tell you much about the actual purpose of the class.
If the "service layer" is a physical layer, such as a web service, then absolutely not; services in an SOA context should expose domain/business operations, not data and not presentation logic. But if service is just being used as an abstract concept for a further level of encapsulation, I don't see any problem with using it the way you desribe.
Just don't mix concepts. If your service deals with view models then it should be a presentation service and be layered over top of the actual Model, never directly touching the database or any business logic.
Hi I see very good answers here.
And for myself I do an other aproach.
I have to kinds of models , one is viewmodel and the other is shared models. The viewmodels stays on the UI layer and the shared models stays on a separate project.
The shared models can theoretically be used anyware because those are standalone.
This models provides some abstraction if you want to return specific data from your service layer or if you need something specific from your repository.
I don't really know if this is a good aproach but it works so well on my projects. For example
When I need to provide some information to create new objects to the database i can use the shared models directly to the service layer it saves me some complexity.
The shared models needs to be mapped sometimes , but you can ensure that your service is not leaking inesssary data to the UI.
You can see shared models as an extension but not to build your UI logic with it, you should have viewmodels to do that.
You can combine viewmodels with this shared models to save you time you can use inheritance.
The shared models has to be neutral and should not have any kind of logic.

Resources