Repository and UoW pattern with service layer - c#

I'm using Repository and UoW pattern. My services look like this:
public class MyService : IService
{
private readonly IUnitOfWork<MyContext> unitOfWork;
private readonly IMyRepository myRepository;
public MyService(IUnitOfWork<MyContext> unitOfWork, IMyRepository myRepository)
{
this.unitOfWork = unitOfWork;
this.myRepository = myRepository;
}
//Methods...
}
Within services, I need to use other entities (for example to check for rights, etc).
Is it recommended to use the relevant repositories in the service or use the services directly?
Also, for each user we have rights (boolean) for each CRUD action. These rights are stored in the database.
Should checking of rights be done at the controller level or at the service level?

My golden rule is:
When you get business logic in your UI create a service, otherwise use
the repository directly.
So if you have this code in the UI:
var user = repos.Get(1);
user.FirstName = txtFirstName.Text;
repos.Save(user);
You are fine in my opinion. But if you instead have something like:
var user = userRepository.Get(1);
var accessChecker = authorizationRepository.GetForUser(id);
if (!accessChecker.MaySendEmail(user))
throw new SecurityException("You may not send emails");
var emailSender = new EmailSenderService();
emailSender.Send(user, txtDestination.Text, txtMessage.Text);
repos.Save(user);
It's likely that you should use a service instead.

Don't use your UoW to just wrap your database context. Since all your repositories are directly dependent of a given context (more or less, ofc), your repositories can be included in the UoW. Something along the lines of:
public interface IUnitOfWork<TContext> : IDisposable { }
public abstract class UnitOfWork<TContext> : IUnitOfWork<TContext> {
private readonly TContext _context;
protected TContext Context { get{ return _context; } }
protected UnitOfWork(TContext context){
_context = context;
}
}
public interface IMyDbUnitOfWork : IUnitOfWork<MyContext>{
public ICarRepository Cars { get; }
public IOwnerRepository Owners { get; }
}
public class MyDbUnitOfWork : UnitOfWork<MyContext>, IMyDbUnitOfWork{
public MyDbUnitOfWork():base(new MyContext()){}
private ICarRepository _cars;
public ICarRepository Cars {
get{
return _cars ?? (_cars = new CarRepository(Context));
}
}
private ICarRepository _owners;
public IOwnerRepository Owners {
get{
return _owners ?? (_owners = new OwnerRepository(Context));
}
}
}
public class MyService : IService
{
private readonly IMyDbUnitOfWork _unitOfWork;
public MyService(IMyDbUnitOfWork unitOfWork)
{
_unitOfWork = unitOfWork;
}
//Methods...
}
Obviously you can create this more or less generic, but I believe this should be enough to pass my point.
As a note, and since I normally use IoC frameworks, my services receive an IUnitOfWorkFactory because of the diferent lifestyles.
For the permissions question, it really depends how much control you want to have and how user friendly you want your application to be. Normally is a mix of both. Your application should know if your user has access to the screen but also if you must disable buttons accordingly. Since you also must prevent that, if by any reason, the user can invoke your service method, you can't allow it.
To solve this problem I don't filter by CRUD actions but by Service actions instead, intercepting every service invocation, which makes it easy to map my permissions to the user interface since normally is a 1 to 1 relation between button action and service action.

I think using repositories is just fine. I wouldn't invent a service layer for each of the repos.
Repository is used for abstracting the data access and service layer is to encapsulate business logic, however with recent trend , I find this overkill. Having service layer is fine if they act as controllers but don't try to map one to one to each entity or repo.

I typically use services from the UI and those services in turn use the repositories. I also find it useful to have some domain objects that encapsulate reusable logic in the services.
I do this so that rather than services calling each other and getting circular references, services use a common domain object instead. This avoids circular references and people copying and pasting the same code all over the place.This domain object may then use the repositories if necessary.

Related

Implementing a Simple Repository, Unit of Work with Dependency Injection

I have been trying to create a Repository Pattern along with Dependency injection, But Looks like I am missing some simple step. Here is my code
public class HomeController
{
private readonly ILoggingRepository _loggingRepository;
public HomeController(ILoggingRepository loggingRepository)
{
_loggingRepository = loggingRepository;
}
public void MyMethod()
{
string message = "MyMessage Called";
_loggingRepository .LogMessage(message);
}
}
// ILoggingRepository.cs
public interface ILoggingRepository
{
void LogMessage(string message);
}
// LoggingRepository.cs
public class LoggingRepository : ILoggingRepository
{
public void LogMessage(string message)
{
using (var dbContext = new DbContext())
{
var serviceLog = new Log() { Message = message, Logged = DateTime.UtcNow };
dbContext.Logs.Add(serviceLog);
dbContext.SaveChanges();
}
}
}
This works perfectly all right so far, but the problem arises when i make more than one repository calls.
Now I know that Entity framework 6.0 has inbuilt unit of work representation so I didn't created a UnitofWork Interface or class
But the problem appears when I do something like this in two different transactions. Lets say
Area area = _areaRepository.GetArea(); // Line 1
area.Name = "NewArea"; // Line 2
_areaRepository.SaveArea(area); // Line 3
now because it _areaRepository creates a new DbContext in Line 3, it doesn't changes the name of area as it doesn't consider EntityState.Modified
I have to explicitly set that, which isn't correct.
So I guess I need to do all this in single Transaction, Where I am doing wrong here ?
What is the correct and best way to achieve this, Should I inject my DbContext also into the repository?
This is how I doit all times:
If dont use Repository or Unit of Work layers, because Entity Framework db Context already implements those patterns. So, I only have a Service layer:
public interface IBaseService<VO, ENT>{
IQueryable<VO> GetAll();
VO Get(object id);
}
public abstract class BaseService<VO, ENT> : IBaseService<VO, ENT>{
MyContext db;
public BaseService(MyContext db){
this.db = db;
}
public IQueryable<VO> GetAll(){
return db.Set<ENT>().ProjectTo<VO>();
}
}
A service class have a dbContext injected in the constructor. This classes are located in a Service library. Then, how the dbContext and the service are resolved is a problem of the project who will be using them. The ProjectTo method is an extension for IQueryable from the Automapper Nuget. For example:
A Windows Service needs all services instance in the same thread shares the same dbContext. So, in the windows service project, I use Ninject https://www.nuget.org/packages/Ninject/4.0.0-beta-0134, this library is a dependency resolver, wich I use to configure how dependencies are builded, creating a Kernel, like this:
var kernel = new StandardKernel();
kernel.Bind<MyContext>().ToSelf().InThreadScope();
kernel.Bind<IServiceImplInterface>().To<ServiceImplClass>().InThreadScope();
I you are creating a Web project, you will need to install a aditional nuget (Ninject.WebCommon, Ninject.Web.COmmon.WebHost, Ninject.MVC5) to provide a .InRequestScope() method to the binding configuration, like this:
var kernel = new StandardKernel();
kernel.Bind<MyContext>().ToSelf().InRequestScope();
kernel.Bind<IServiceImplInterface>().To<ServiceImplClass>().InRequestScope();
You need setup those kernel when the app startup. In a web project is in the global.asax, in a windows service project, should be in the Service constructor:
You can visit www.ninject.org/learn.html to learn more about ninject. But, there are othres like Autofac or Caste Windsor, it is up to you. If you like to keep using the repository pattern, just use Ninject inject them into the Service layer, like i did with the dbContext.
The best approach is to have one instance of DbContext, injecting it on each repository implementation. That way you will have a single instance of the database context, so EF will be able to detect changes on the entity objects.
If you need to use isolated dbContexts as in your example, then you need to explicitly set the state of the object as Modified.
Depending on the type of project, you should set the context on a specific scope. For example, for web applications one option is to use instance per Web request (per lifetime scope). Check this url where you can see a good explanation of the different instance scopes.
The using statement simply creates a new scope, executing the Dispose() method after the code block. EF does a lot on the background to maintain the UoW and state of the objects, but in your case, with the using, you are not using this fature.
First, a DbContext is a repository. If you want to wrap it in a custom repository, they should have the same lifecycle.
Second, your Unit-of-work is your controller. The repository should be scoped to unit-of-work.
This means that your repository needs to be Disposable, since the DbContext is.
So something like:
public interface ILoggingRepository : IDisposable
{
void LogMessage(string message);
}
// LoggingRepository.cs
public class LoggingRepository : ILoggingRepository
{
MyDbContext db;
public LoggingRepository(MyDbContext db)
{
this.db = db;
}
public void Dispose()
{
db.Dispose();
}
public void LogMessage(string message)
{
var serviceLog = new MonitoringServiceLog() { Message = message, Logged = DateTime.UtcNow };
db.MonitoringServiceLogs.Add(serviceLog);
db.SaveChanges();
}
}
If your ILoggingRepository wan't a database, it might be a file or something else that is expensive to create or open and needs to be closed.

Giving database context to object Factory

There is a question I always ask myself when I'm using a Factory pattern inside my code (C#, but it applies to any language I suppose).
I have a "Service" that takes care of interacting with my database, do stuff with objects and interacts with my object model.
This Service uses a Factory sometimes to delegate the instanciation of an object.
But this factory obviously needs to interact by itself with the database to instanciate my object properly.
Is it a good/bad practice to pass the Database context to the Create method for example?
Like this :
var myNewObject = MyFactory.Create(myDatabaseContext);
the other way would be to let the Service always be the only one to talk with the database.
var myNewObject = MyFactory.Create();
var extraProperty = myDatabaseContext.Get(something);
myNewObject.extraProp = extraProperty;
Any advices?
The idea of passing the database context into the factory create method is called method injection. This is a form of dependency injection, so you are on the right track.
You can use dependency injection to manage your database context inside of your factory via the constructor. The factory could look something like this:
public class MyFactory
{
private readonly IMyDbContext dbContext;
public MyFactory(IMyDbContext dbContext)
{
this.dbContext = dbContext;
}
public object Create()
{
// Use the dbContext, etc
}
}
Constructor injection is usually favored because it leaves method signatures less cluttered. We will also most likely have one type of database context so there will be no need to take advantage of polymorphism based on some other runtime information.
You can choose to use a Dependency Injection Container like Ninject or, my favorite, SimpleInjector to manage the dependencies for you.
It is OK to have the DbContext only used by the factory. One thing you may want to watch out for is that a user of your factory may not realize that the factory is calling to the database. This could be a bad thing and have negative performance implications. Typically, construction information is passed into the factory method, not initialized into the factory method from the DB. You could even take it a step further and use the Repository Pattern to abstract away some more of the data access logic if you think it is necessary and you don't have that already.
To learn more about Dependency Injection, in case you are unfamiliar, you can start here.
My ideal structure may look like this:
public class MyFactory : IFactory
{
public object Create(object someProperty)
{
// build object
}
}
public class MyService
{
private readonly IMyDbContext dbContext;
private readonly IFactory factory;
public MyService(IMyDbContext dbContext, IFactory factory)
{
this.dbContext = dbContext;
this.factory = factory;
}
public void DoWork()
{
var property = dbContext.Get(something);
var newObj = factory.Create(property);
// Use stuff
}
}
In the project I am working on, we try to keep all database access inside the Service. If the Factory needs objects that must be loaded from the DB, the Service should load them and pass them to the Factory. If the object returned by the Factory shall be persisted, the Service should add it to the DbContext.
This corresponds to the second way you have shown. The advantage is that the Factory can be unit tested without any need to mock the DbContext.
If you want to keep the DB access inside the Factory anyways, I would inject the DbContext into the constructor of the Factory, instead of passing it to the Create() method.
The Service gets an instance of the Factory injected in turn (instead of accessing static methods of the Factory). Again, this will make mocking much easier.
public class Service {
private readonly IMyDbContext _myDatabaseContext;
private readonly IMyFactory _myfactory;
public Service (IMyDbContext myDbContext, IMyFactory myfactory) {
_myDatabaseContext = myDbContext;
_myfactory = myfactory
}
public void Create() {
var extraProperty = myDatabaseContext.Get(something);
var myNewObject = _myFactory.Create(extraProperty);
_myDatabaseContext.Add(myNewObject);
_myDatabaseContext.SaveChanges();
}
}

WPF / EntityFramework Context Lifetime

Issue
We are currently having a problem of architecture on a WPF application. It concerns EntityFramework context management, it’s instantiated once and used during the entire life of the application. So we end up with a cache issue, entities are not updated when they were loaded once. Our entities are obsolete when using the application.
Technical specification
Wpf project
.Net Framework 4 client Profile
MEF (Include in Framework 4.0 System.ComponentModel.Composition)
Design pattern MVVM
Multi users application
Architecture
This is a schema of the current architecture.
Service layer
Manage calls to business rules (business layer)
Save the context (through UnitOfWork) after business rules done
Can be called only by a ViewModel
Business layer
Define business rules
Can be called only by service layer
Repository layer
Execute methods which change context datas (insert, update , delete)
Inherit ReadOnlyRepository
Can be called only by business layer
ReadOnlyRepository layer
Execute method which return datas (select)
Can be called everywhere (ViewModel, Service layer, Business layer)
UnitOfWork
Manage context instanciation
Save context
Context available only for repositories
Code
ViewModel
[Export(typeof(OrderViewModel))]
[PartCreationPolicy(CreationPolicy.NonShared)]
public class OrderViewModel : ViewModelBase
{
private readonly IOrderManagementService _orderManagementService;
private readonly IOrderReadOnlyRepository _orderReadOnlyRepository;
[ImportingConstructor]
public OrderViewModel(IOrderManagementService orderManagementService, IOrderReadOnlyRepository orderReadOnlyRepository)
{
_orderManagementService = orderManagementService;
_orderReadOnlyRepository = orderReadOnlyRepository;
}
}
Service layer
public class OrderManagementService : IOrderManagementService
{
private readonly IUnitOfWork _unitOfWork;
private readonly IOrderManagementBusiness _orderManagementBusiness;
[ImportingConstructor]
public OrderManagementService (IUnitOfWork unitOfWork, IOrderManagementBusiness orderManagementBusiness)
{
_unitOfWork= unitOfWork;
_orderManagementBusiness = orderManagementBusiness;
}
}
Business layer
public class OrderManagementBusiness : IOrderManagementBusiness
{
private readonly IOrderReadOnlyRepository _orderReadOnlyRepository;
[ImportingConstructor]
public OrderManagementBusiness (IOrderReadOnlyRepository orderReadOnlyRepository)
{
_orderReadOnlyRepository = orderReadOnlyRepository;
}
}
ReadOnlyRepository layer
public class OrderReadOnlyRepository : ReadOnlyRepositoryBase<DataModelContainer, Order>, IOrderReadOnlyRepository
{
[ImportingConstructor]
public OrderReadOnlyRepository (IUnitOfWork uow) : base(uow)
{
}
}
ReadOnlyRepositoryBase
public abstract class ReadOnlyRepositoryBase<TContext, TEntity> : IReadOnlyRepository<TEntity>
where TEntity : class, IEntity
where TContext : DbContext
{
protected readonly TContext _context;
protected ReadOnlyRepositoryBase(IUnitOfWork uow)
{
_context = uow.Context;
}
protected DbSet<TEntity> DbSet
{
get { return _context.Set<TEntity>();
}
public virtual IEnumerable<TEntity> GetAll(System.Linq.Expressions.Expression<Func<TEntity, bool>> filter = null, Func<IQueryable<TEntity>, IOrderedQueryable<TEntity>> orderBy = null, string includeProperties = "")
{
IQueryable<TEntity> query = DbSet.AsNoTracking();
if (filter != null)
{
query = query.Where(filter);
}
foreach (var includeProperty in includeProperties.Split(new char[] { ',' }, StringSplitOptions.RemoveEmptyEntries))
{
query = query.Include(includeProperty);
}
if (orderBy != null)
{
return orderBy(query).ToList();
}
return query.ToList();
}
public virtual IQueryable<TEntity> All()
{
return DbSet.AsNoTracking();
}
public virtual IQueryable<TEntity> AllWhere(Expression<Func<TEntity, bool>> predicate)
{
return DbSet.Where(predicate).AsNoTracking();
}
public virtual TEntity Get(Expression<Func<TEntity, bool>> predicate)
{
return DbSet.Where(predicate).AsNoTracking().FirstOrDefault();
}
public virtual TEntity GetById(int id)
{
TEntity find = DbSet.Find(id);
_context.Entry(find).State = System.Data.EntityState.Detached;
return DbSet.Find(id);
}
We can see that the context is given to the repository in the constructor. Select methods use the "AsNoTracking ()" method to not cache entities. It's a temporary solution which is obviously not viable in long term.
UnitOfWork
public class UnitOfWork : IUnitOfWork
{
private DataModelContainer _context;
public UnitOfWork()
: this(new DataModelContainer())
{
}
public UnitOfWork(DataModelContainer context)
{
_context = context;
}
public DataModelContainer Context
{
get { return _context; }
}
public int Save()
{
return _context.SaveChanges();
}
}
During the first composition of a service with MEF, UnitOfWork will be instantiated with the default constructor which instantiate the context.
Remarks
Some pieces of code have been omitted for readability.
Goal to achieve
The lifetime of the context is clearly an issue. Knowing that all calls within the same service method must share the same context.
How can we consider modifying the architecture to avoid having a single context ?
Feel free to ask questions ! If needed, I can attach a test project which highlight the issue.
In your application there is only single unit of work but that is not the purpose of a unit a work. Instead, you need to create a unit of work each time "you work with the database". In your case the UnitOfWork should not be part of the MEF container but you can create a UnitOfWorkFactory and inject it from the container. Then the services can create a UnitOfWork each time "work has to be done" with the database:
using (var unitOfWork = unitOfWorkFactory.Create()) {
// Do work ...
unitOfWork.Save();
}
I have modified UnitOfWork so it implements IDisposable. This will allow you to dispose the EF context and also perhaps rollback a transaction if Save was not called. If you have no need for the extra transaction handling you can even get rid of the UnitOfWork class because it simply wraps the EF context and instead you can used the EF context as a unit of work directly.
This change will force you to modify how the service and the repositories are structured but you really have to because your issue is that you have a single unit of work that exists for the entire duration of the application.
Outline clearly distinguished use cases, which would maintain own lifetime scope. This could help preventing other resources leaks as well (which are pretty frequent when using WPF).
Consider generic algorithm:
Initialize lifetime scope.
Using scope:
Allocate views and other WPF resources, allocate business layer, data access (UoW, context, repo).
Load data from db and display it to user.
Wait for user action (1).
Make some changes or load even more data from DB.
Update data representation for user.
Go to (1) until scenario is complete.
Dispose scope, de-allocate resources.
The problem is that your scope currently is your application.
Now imagine that you manage scope at view level. You allocate, display view, get user's input, save changes and then the whole object tree is disposed at once.
Obviously, you should be flexible with scopes. Sometimes it can be useful to use it at view level (like "Edit item"), sometimes it could spread across several views (like wizard, for example). You can even maintain data-driven scopes (imagine you open a project in Visual Studio; begin lifetime scope to manage all resources, which should be available while project 'lives').

Dependency Injection for Long-Lived Objects in Web API?

I'm putting together a REST service using ASP.NET Web API & Ninject, though I suspect this might be a more general IoC question than anything specific to my IoC framework. I have a number of objects that need to access a simple cache of User entities:
public class UserCache
{
private IList<User> users;
private IUserRepositoryFactory factory;
[Inject]
public UserCache(IUserRepositoryFactory factory)
{
this.factory = factory;
this.users = new List<User>();
}
public void Add(int id)
{
IUserRepository repo = factory.Create(new TestContext());
this.users.Add(repo.Get(id));
}
public int Count { get { return this.users.Count; } }
}
In practice, the cache is read-through, and will fill itself with User entities using a UserRepository (and associated IUserRepository interface):
public class UserRepository : IUserRepository
{
private readonly TestContext context;
public UserRepository(TestContext context)
{
this.context = context;
}
public User Get(int id)
{
return new User() { Name = "Test User" };
}
}
The cache is long-lived and shared across the entire application. My question is this: I want to use my UserRepository to pull User entities from my database. This repository needs to be injected into the cache somehow, or instantiated using a factory.
The trick is, the only way I've been able to both a) create the cache such that Ninject will inject its dependencies and b) have access to the cache throughout the same is to bind the cache in singleton scope and inject it into objects that need access to it:
kernel.Bind<TestContext>().ToSelf();
kernel.Bind<UserCache>().ToSelf().InSingletonScope();
...and then in a controller (for example):
[Inject]
public UserCache Cache { get; set; }
My question is, is this the best way to treat long-lived objects that require injection? Or is there some better way that I'm missing? I don't want to give the cache (or any other objects like it) direct access to the Ninject kernel.
Isn't this supposed to be the other way around? You should use IUserRepository in your controllers and the repository under the hood should fetch the data from cache (better if done using an interceptor) if it is already cached, otherwise should hit the database.
That way you don't have to worry about lifecycle of the long living cached objects. Remember that at the end of the day the whole WebAPI (so far) runs on the web stack, this means the application can be recycled unexpectedly based on different factors.

Where to keep dictionaries in app using Dependency Injection

I have a legacy code, and I have a problem with reconstructor it.
At start of my application I load from WCF to property on App (this is SL application) list of users.
Then every control (for sending emails, view calendar and assigning tasks) use this property as
(App.Current as App).Users
Now, I'm trying to create Unit Test for one of controls that use this lists, and I'm stuck.
Should I make a Constructor Injection(I'm using Unity) with App as parameter? Or maybe introduce some class to hold this list?
Updated with OP's implementation as the pseudocode was incomplete.
I propose create an interface for all your application services
Inject IApplicationService to your modules.
You can use this interface for all the services the application provides(probably you will need more). Mock the interface for the unit tests
OP's implemantation
public interface IApplicationService
{
List<User> Users{get;set;}
}
public class ApplicationService : IApplicationService
{
public List<User> Users
{
get { return (App.Current as App).Users; }
set { (App.Current as App).Users = value; }
}
}
public partial class MainWindow : UserControl
{
readonly IApplicationService _applicationService
public MainWindow(IApplicationService applicationService)
{
_applicationService=applicationService;
}
}
I would create a wrapper class that will expose the list of users. In production code this class will just be a wrapper around your App.Current property and it can be injected in the constructor trough Unity.
In your Unit Tests you can easily mock the App parameter and pass it when constructing a new SUT.
Something like:
public interface IUserList
{
List<User> Users { get; }
}
public class SUT
{
private IUserList UserList { get; set; }
public SUT(IUserList userList)
{
this.UserList = userList;
}
}
public class AppUserList : IUserList
{
public List<User> Users
{
get
{
return ((App)App.Current).Users;
}
}
}
For Silverlight there is an extension model called Application Extension Services.
For infrastructure purposes that might be a better alternative than adding properties to your app class and casting App.Currentback and forth.
Downside of that model is the creation of a singleton you would have to initialize for your unit tests. It would also hide the dependency on Users in your consuming classes.
Your users seem to be just data. Making that data an ambient context which can be accessed and edited everywhere in your application will bite you. You don't know who does what with that data and when he does it. This is like a session state.
So making the dependency on your data explicit would be a first step to be able to track abuse of that data.
If it makes sense to you to create a "data holder object" that has a property for Users or directly inject that data into your consumers is up to you. If there is more data than just Usersit is tempting to put all of them into the same central data store object, even if your specific consumers don't need them.
Jimmy's answer is great, but can be provide quite a bit, and some errors fixed. Differences are explained at the bottom below the code/instructions:
Create a public interface: IUserService
public interface IUserService
{
// Implemented functionality as methods where possible for better
// extendability (like IoC)
IEnumerable<User> Users();
// Add any other user service stuff as you see fit.
void AddUser(User user);
}
Write a UserService that implements IUserService
public class UserService : IUserService
{
// If you need DI for this service, follow the same pattern of using
// fields and controller injection. I left examples in comment below.
// private readonly IRepository _repository;
// Constructor is unnecessary if you do not need DI example.
public UserService(/* IRepository repository */)
{
// _repository = repository;
}
// Methods
public IEnumerable<User> Users()
{
return ((App)App.Current).Users;
}
public void AddUser(User user)
{
((App)App.Current).Users.Add(user);
}
}
Inject IUserService into classes via their Constructor
In this case your MainWindow as an example:
public partial class MainWindow : UserControl
{
private readonly IUserService _userService;
public MainWindow(IUserService userService)
{
_userService = userService;
}
// Example method consuming the service
public IEnumerable<User> GetUsers()
{
return _userService.Users();
}
}
Differences:
Separate your User Services from a central Application Service
Better modularity. In addition I use an IApplicationService for more central/global data like Api Keys, Timeouts, cleanup, DB prepping, etc.
Return IEnumerable<T> instead of List<T>
This is just a golden rule of thumb for keeping things dry and not imposing hard instantiations on your consuming classes. Refactoring is easier/safer, and your code more extensible.
Use methods instead of properties
This is preference, but I think it smart in a service layer to use methods where possible so that you can introduce filters and overloads or continue to use dependency injection - for example, you could add GetUsers(string lastName), GetUsers(string lastName, string firstName) and maintain a clean interface for your consuming classes.
Cast App.Current without the as keyword
This is a good practice because using the as keyword means when the cast fails it will return null, rather than throw an exception. I prefer the exception because 99% of the time, if your cast fails, your next operations will too. :)
Enjoy!

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