Asp.net MVC Architecture - asp.net-mvc

I'm coming to the end of my first MVC project, and I'm not overly happy with how I constructed my Model objects and I'm looking for some ideas on how to improve them.
I use repositories for each DB table with Get, Save, Delete etc methods.
The repositories use Linq2Sql for the DB access.
I do mapping from the Linq2Sql objects to MVC Model objects, in the main, these are very much 1 to 1 mappings.
My problem is, I don't think my MVC model objects were granular enough, and I am probably passing more data back and forth than needed.
For example, I have a User table. An admin can edit a users details as can the user themselves, so I reckon I should really have a "AdminUserModel" and "UserModel" objects, where "AdminUserModel" has a greater set of values (IsEnabled for example).
So my bigger question is really, what kind of architectures are people using out there in the wild, in order to map many similar, related Model objects down through the layers to the DB?
Any sample architecture solutions anyone can suggest beyond NerdDinner?
thanks in advance!

In the case of your user model, you should use inheritence in stead of 2 seperated models. In this way you can use the code that was created for user in the ones that inherite from it.
the type of model you use depends completely on what you want to do with it. A good thing might be to take a look at patterns and try to get the patterns working that are needed for your situation...

I usually take implement inheritance in my models.
I usually have a base class of entity, which will have id, datecreated, valid and any other fields that are shared between entities (publishStatus, locked etc).
If needs be you can create other base classes inheriting from entity: person entity, product entity etc.
this way you can have a generic repository base, constrained to Entity or IEntity, i find that most entities CRUD functions dont need much more behaviour than that provided by the generic base (perhaps you will need to add a few additional get methods for some types)
In your case, AdminUser could inherit from User

Related

EntityFramework database vs model

I understand the fact that generating a model based on the DataBaseFirst method woill produce a collection of entitites on the ORM that are essentially mapped to the DB tables.
It is my understanding, that if you need properties from other entities or just dropdownlist fields, you can make a ViewModel and use that class as your model.
I have an AppDev course that I just finished and the author wrote something that if I understand it correctly, he is referring to change the ORM entities to fit what your ViewModels would look like, hence, no need for ViewModels. However, if you do this, and regenerate the ORM from the database, those new entities that you placed as "ViewModels" would be gone. If you changed the ORM to update the database, then your database structure in SQL Server would be "undone".
Please inform me if my understanding is correct that I simply need to use a ViewModel in a separate folder to gather specific classes and or properties in a superclass or a single class with the properties that I just need and use that as my model....
Here is the excerpt from the author:
EntityFramework is initially a one to one mapping of classes to tables, but you can create a model that better represents the entities in your application no matter how the data is stored in relational tables.
What I think the author may have been hinting at is the concept of complex models. Let's say, for instance, that in your Database you have a Customer Table and an Address Table. A one to one mapping would create 2 model items, one Customer class and one Address class. Using complex model mapping, you could instead create a single Customer class which contained the columns from both the Customer Table and the Address table. Thus, instead of Customer.Address.Street1 you could refer simply to Customer.Street1. This is only one of many cases where you could represent a conceptual model in code differently than the resulting data in storage. Check out the excellent blog series Inheritance with EF CodeFirst for examples of different mapping strategies, like Table Per Hierarchy (TPH), Table Per Type (TPT), Table Per Concrete Class (TPC). Note that even though these examples are CodeFirst, they still apply to Entity Framework even if the initial models are generated from a Database.
In general, if you use DatabaseFirst and then never modify the resulting entities, you will always have a class in code for each table in the database. However, the power of Enity Framework is that it allows you to more efficiently work with your entities by allowing these hybrid mappings, thus freeing you to think about your code without the extra burden of your classes having to abide by rigid SQL expectations.
Edit
When the Database-First or Model-First entities are generated, they are purposely generated as partial classes. You can create your own partials which extend the classes that are generated from Entity Framework without modifying the existing class files. If the models are re-generated, your partial classes will still be intact. Granted, using partials means that you have the Entity Framework default behaviors as well as your extended behaviors, but this isn't usually a huge issue.
Another option is that you can modify the TT files which Entity Framework uses to generate your models, ensuring that your models are always regenerated in the same state.
Ultimately, the main idea is that just because the default behavior of Entity Framework is to map the database to classes 1:1, there are other options and you are never forced into something that isn't efficient for your project.

MVC, Strongly Typed Views and Entity Framework dilemma

I've read quite a few Q & As relating to logic in views within an MVC architecture and in most cases I agree that business logic shouldn't live in a view. However having said this, I constantly question my approach when using Microsoft's MVC Framework in conjunction with the Entity Framework because of the ease of accessibility to foreign key relationships a single entity can give me which ultimately results in me performing Linq to Entities queries inline within a View.
For example:
If I have the following two entities:
Product ([PK]ProductId, Title, Amount)
Image ([PK]ImageId, [FK]ProductId, ImageTitle, DisplayOrder)
Assuming I have a strongly typed Product view and I want to display the primary image (lowest display order) then I could do something like this in the view:
#{
Image image = (from l in Model.Image
orderby l.DisplayOrder
select l).FirstOrDefault();
}
This is a simple example for demonstration purposes, but surely this begins to bend the rules in relation to MVC architecture, but on the other hand doing this in the Controller and then (heaven forbid) jamming it into the ViewBag or ViewData would surely be just as much of a crime and become painful to manage for more than a few different related classes.
I used to create custom classes for complex Models, but it's time-consuming and ugly and I no longer see the point as the Entity Framework makes it quick and easy to define the View to be the primary Model (in this case a Product) and then easily retrieve all the peripheral components of the product using Linq queries.
I'd be interested to know how other people handle this type of scenario.
EDIT:
I also quite often do things like:
#foreach(Image i in Model.Image.OrderBy(e => e.DisplayOrder).ToList())
{
<img ... />
}
I'm going the 'custom classes for Models' way, and I agree it's time consuming and mundane, hence tools like http://automapper.codeplex.com/ have been created, to accompany you with this task.
Overall, I'm having similar feelings to yours. Reading some stuff saying it's good to have your domain model unrelated to your storage, then different class for your view model than the domain model, and then seeing that libraries actually seem to 'promote' the easy way (data annotations over your domain classes seem to be simplier than EF fluent interface etc etc).
At least we've got the choice I guess!
Model binding There is also issue that when you want to POST back the model data and store it in the database, you need to be careful and make sure MVC model binders bind all fields correctly. Else you may loose some data. With custom models for views, it might be simplier.
Validation
MVC gives you a way to validate using attributes, when you use viewmodels, you can freely pollute it with such annotations, because it's view specific (and validation should be view/controller action specific as well). When you use EF classes, you would be polluting those classes with unrelated (and possibly conflicting) logic.

Best practice question - Working straight with Linq to sql classes

This is possibly a bit of a stupid question, but I am getting confused due to the ASP.NET MVC book I am currently reading...
Working with Linq-To-SQL it seems to say that it is not good practice to pass the Linq-to-SQL objects straight to the controller, but that each object should be modelled separately first and this should be passed between the controller and the repository.
Say, I have a database of products. Linq-to-SQl creates a product class for me with Name, Price and Whatnotelse properties. I could pass that straight from repository to controller and then view, but instead it seems to recommend that I use and third class, say Product_Entity, with also Name, Price etc. properties and pass that to the controller.
I fail to see the benefit of this approach, except possibly for adding attributes to the properties... But apart from that it seems to have more drawbacks than benefits. Say each product has manufacturer information as well, I don't see how I can model that easily in my third class.
Is this approach really best practice? Or did I misunderstand all that? If so, why is it bad to work straight off the linq-to-sql generated objects? And how do you deal with relationships between objects in y
The huge benefit to this other class you create is that, to use your example, it doesn't necessarily map to either a product or a manufacturer. Think about it like this:
Your Linq to SQL classes are meant for talking in the "data" domain.
Your "data" classes (the ones you're having trouble with) are meant for talking in the "application" domain.
Let's take an example. Suppose in your MVC application you wanted to show a grid of information about products. You want to see their Name, Price (from the Product table) and their Country of Manufacture and Manufacturer name (from the Manufacturer table). What would you name this class? Product_Manufacturer? What if later on you wanted to add properties from yet a third table such as product discounts? Instead of thinking about these objects in purely the data domain, think about them with regard to your application.
So instead of Product_Manufacturer, what about calling it ProductSummaryItem? Each property of the ProductSummaryItem class would map 1:1 with a field shown in your grid on the UI. Your controller would perform the mapping between the information in the data domain (Product, Manufacturer) with the custom class you'd created in the application domain (ProductSummaryItem).
By doing this, you get some awesome benefits:
1) Writing your views becomes really, really simple. All you have to do to display your data is loop through the ProductSummaryItems and wrap them in and tags, and you're done. It also allows for simple aggregation. Say for example you wanted to add a field called ProductsSoldLastYear to your ProductSummaryItem class. You could do that very simply in your views because all it is to them is another property.
2) Since the view is trivial and there's mapping logic in the controller, it becomes much easier to test the controller's output because it's customized to what the view is going to see.
3) Since the ProductSummaryItem class only has the data it needs, your queries can potentially become much faster because they only need to query for the fields that would populate your ProductSummaryItem object, and nothing else. This overhead can become overbearing the more data-domain objects make up your ProductSummaryItem object.
This pattern is called Model View ViewModel (MVVM) and is hugely popular with MVC as well as in frameworks like WPF.
The argument against MVVM is that you have to somewhat reimplement simple classes for CRUD operations. Fair enough, I guess, but you can use a tool like automapper to help out with things like that. I think you'll find fairly quickly, though, that using the MVVM pattern even for CRUD pays dividends, because before you know it, even with simple classes, you'll start wishing you had extra fields which can easily drive your views.

ASP.NET MVC: using EF entities as viewmodels? [duplicate]

This question already has answers here:
Closed 12 years ago.
Possible Duplicate:
ASP.NET MVC - Linq to Entities model as the ViewModel - is this good practice?
Is is OK to use EF entities classes as view models in ASP.NET MVC?
What if viewmodel is 90% the same of EF entity class?
Let's say I have a Survey class in Entity Framework model. It 90% matches data required for view to edit it.
The only difference from what view model should have - is one or several properties to be used in it (that are required to populate Survey object because EF class cannot be directly mapped onto how it's properties are represented (sub-checkboxes, radio groups, etc.))
Do you pass them using ViewData[]? Or create a copy of Survey class (SurveyViewModel) with new additional properties (it should be able to copy data from Survey and back to it)?
Edit:
I'm also trying to avoid using Survey as SurveyViewModel property. It will look strange when some Survey properties are updated using UpdateModel or with default binder, while others (that cannot be directly mapped to entity) - using SurveViewModel custom properties in controller.
I like using Jimmy Bogard's approach of always having a 1:1 relationship between a view and a view model. In other words, I would not use my domain models (in this case your EF entities) as view models. If you feel like you are doing a lot of work mapping between the two, you could use something like AutoMapper to do the work for you.
Some people don't like passing these model classes all the way through to the view, especially as they are classes that are tied to the particular ORM you're currently using. This does mean that you're tightly binding your data framework to your view types.
However, I have done this in several simple MVC apps, using the EF entity type as the Model for some strongly-typed views - it works fine and is very simple. Sometimes simple wins, otherwise you may find yourself putting a lot of effort and code into copying values between near-identical Model types in an app where realistically you'll never move away from EF.
You should always have view models even if they are 1:1. There are practical reasons rather than database layer coupling which I'll focus on.
The problem with domain, entity framework, nhibernate or linq 2 sql models as your view classes is you cannot handle contextual validation well. For example given a user class:
When a person signs up on your site they get a User screen, you then:
Validate Name
Validate Email
Validate Password Exists
When an admin edits a user's name they get a User screen, you then:
Validate Name
Validate Email
Now expose contextual validation via FluentValidation, DataAnnotations Attributes, or even custom IsValid() methods on business classes and validate just Name and Email changes. You can't. You need to represent different contexts as different view models because validation on those models changes depending on the screen representation.
Previously in MVC 1 you could get around this by simple not posting fields you didn't want validated. In MVC 2 this has changed and now every part of a model gets validated, posted or not.
Robert Harvey pointed out another good point. How does your user Entity Framework display a screen and validate double password matching?
On bigger projects, I usually split up business objects from data objects as a matter of style. It's a much easier way to let the program and database both change and only affect the control (or VM) layer.

Using a View Model + Data Model in ASP.NET MVC to support typed views?

How do most developers handle Typed Views in ASP.NET MVC when dealing with large applications? We are considering putting View-specific models in the Models folder, then putting all domain objects into a separate project. This way our Controllers can easily add the domain object to the typed view, without the domain object needing to be aware of the View layout itself.
For example, if we have an Employee object with:
Id
First Name
Last Name
Status
Then our Employee View might use a ViewEmployeeModel object with:
Employee object
List to populate Status drop-down
etc
Is this a sensible approach? Are there better ways to accomplish the same thing? It seems a little strange since I'd basically have two models (one for the view, one for the business objects), but isn't it better than using untyped views?
I do this almost as a rule, because:
It lets you design the app view-first instead of DB-first, which is nice when working with customer representatives.
Views typically have a much "flatter" object graph than, say, Entity Framework models. LINQ makes it easy to map these.
The views and the data model can evolve much more independently.
It's typically easier to model bind to a flat view model with, say, FK IDs than an entity model which expects fully materialized related objects.
You don't have to worry about accidentally exposing "secret" properties or whitelisting properties for updates.
Don't have the reputation to comment, but Craig is right. It's a variation of the Model-View-ViewModel pattern. There's a good article on it available at Los Techies.
The article also uses the AutoMapper code that mgroves pointed out so you should be able to kill two birds with one stone.
I think this is a pretty sensible approach. One thing that might help you out is AutoMapper.
Seems fine, you have the advantage that the model only contains information needed by the view and not lots of pesky business logic functions / values.

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