I'm using Google Cloud Pub/Sub (Google.Cloud.PubSub.V1 (2.2.0)) in a .NET Core 3.1 project.
I'm trying to write a unit test for the code that retrieves messages from a Google Pub/Sub subscription.
My code is similar to what you find in the Google documentation.
var subscriber = await SubscriberClient.CreateAsync(subscriptionName);
try
{
var startTask = subscriber.StartAsync(async (PubsubMessage message, CancellationToken cancel) =>
{
//code
});
await Task.Delay(5000);
await subscriber.StopAsync(CancellationToken.None);
await startTask;
}
catch (Exception ex)
{
//code
}
Is there a way to mock SubscriberClient in a unit test? SubscriberClient doesn't appear to have an interface.
My unit tests are using NUnit (3.12.0) and Moq (4.14.5).
Any ideas would be appreciated.
Calling SubscriberClient.Create(...) instead of .CreateAsync(...) allows you to pass in the underlying SubscriberServiceApiClient instance(s).
Edit: Apologies, the above is incorrect, it should be:
Instantiate a SubscriberClientImpl directly instead of calling SubscriberClient.CreateAsync(...). This allows you to pass in the underlying SubscriberServiceApiClient instance(s).
Note that you can pass new SubscriberClient.Settings() for the settings argument, and null for the shutdown argument as defaults.
SubscriberServiceApiClient can be mocked - either directly, or by instantiated a SubscriberServiceApiClientImpl instance and passing in a mocked Subscriber.SubscriberClient.
When testing, note that SubscriberClient is multi-threaded and with default settings will call the callback passed to StartAsync concurrently from multiple threads.
I've scoured the SO for answers but found none that pertain to the problem at hand, although this one nails it on "why", but isn't solving it.
I have a REST endpoint that needs to gather data from other endpoints - in doing so, it accesses the HttpContext (setting authentication, headers, etc... all done with 3rd party lib I don't have access to).
Unfortunately, this library for service communication is made to be synchronous, and we want to parallelize its use.
In the following example (abstracted) code, the issue is that CallEndpointSynchronously unfortunately uses some built in authentication, which throws null exception when HttpContext isn't set:
public class MyController: ApiController
//...
[HttpPost]
public async Task<IHttpActionResult> DoIt(IEnumerable<int> inputs)
{
var tasks = inputs.Select(i =>
Task.Run(()=>
{
/* call some REST endpoints, pass some arguments, get the response from each.
The obvious answer (HttpContext.Current = parentContext) can't work because
there's some async code underneath (for whatever reasons), and that would cause it
to sometimes not return to the same thread, and basically abandon the Context,
again resulting in null */
var results = Some3rdPartyTool.CallEndpointSynchronously(MyRestEndpointConfig[i]);
return results;
});
var outcome = await Task.WhenAll(tasks);
// collect outcome, do something with it, render outputs...
}
Is there a cure for this?
We want to optimize for single requests, not interested in maximizing parallel users at this moment.
Unfortunately, this library for service communication is made to be synchronous, and we want to parallelize its use.
throws null exception when HttpContext isn't set:
The obvious answer (HttpContext.Current = parentContext) can't work because there's some async code underneath (for whatever reasons), and that would cause it to sometimes not return to the same thread, and basically abandon the Context, again resulting in null
There's an important part of your question in the example code comment. :)
Normally, HttpContext shouldn't be shared across threads. It's just not threadsafe at all. But you can set HttpContext.Current (for some reason), so you can choose to live dangerously.
The more insidious problem here is that the library has a synchronous API and is doing sync-over-async - but somehow without deadlocking (?). At this point, I must be honest and say the best approach is to fix the library: make the vendor fix it, or submit a PR, or just rewrite it if you have to.
However, there is a tiny chance that you can get this kinda sorta working by adding Even More Dangerous code.
So, here's the information you need to know:
ASP.NET (pre-Core) uses an AspNetSynchronizationContext. This context:
Ensures that only one thread runs in this context at a time.
Sets HttpContext.Current for any thread that is running in the context.
Now, you could capture the SynchronizationContext.Current and install it on the thread pool threads, but in addition to being Very Dangerous, it would not achieve your actual goal (parallelization), since the AspNetSynchronizationContext only allows one thread in at a time. The first portion of the 3rd-party code would be able to run in parallel, but anything queued to the AspNetSynchronizationContext would run one thread at a time.
So, the only way I can think of making this work is to use your own custom SynchronizationContext that resumes on the same thread, and set HttpContext.Current on that thread. I have an AsyncContext class that can be used for this:
[HttpPost]
public async Task<IHttpActionResult> DoIt(IEnumerable<int> inputs)
{
var context = HttpContext.Current;
var tasks = inputs.Select(i =>
Task.Run(() =>
AsyncContext.Run(() =>
{
HttpContext.Current = context;
var results = Some3rdPartyTool.CallEndpointSynchronously(MyRestEndpointConfig[i]);
return results;
})));
var outcome = await Task.WhenAll(tasks);
}
So for each input, a thread is grabbed from the thread pool (Task.Run), a custom single-threaded synchronization context is installed (AsyncContext.Run), HttpContext.Current is set, and then the code in question is run. This may or may not work; it depends on how exactly Some3rdPartyTool uses its SynchronizationContext and HttpContext.
Note that there are several bad practices in this solution:
Using Task.Run on ASP.NET.
Accessing the same HttpContext instance simultaneously from multiple threads.
Using AsyncContext.Run on ASP.NET.
Blocking on asynchronous code (done by AsyncContext.Run and also presumably Some3rdPartyTool.
In conclusion, I again recommend updating/rewriting/replacing Some3rdPartyTool. But this pile of hacks might work.
I'm adding some unit tests for my ASP.NET Core Web API, and I'm wondering whether to unit test the controllers directly or through an HTTP client. Directly would look roughly like this:
[TestMethod]
public async Task GetGroups_Succeeds()
{
var controller = new GroupsController(
_groupsLoggerMock.Object,
_uowRunnerMock.Object,
_repoFactoryMock.Object
);
var groups = await controller.GetGroups();
Assert.IsNotNull(groups);
}
... whereas through an HTTP client would look roughly like this:
[TestMethod]
public void GetGroups_Succeeds()
{
HttpClient.Execute();
dynamic obj = JsonConvert.DeserializeObject<dynamic>(HttpClient.ResponseContent);
Assert.AreEqual(200, HttpClient.ResponseStatusCode);
Assert.AreEqual("OK", HttpClient.ResponseStatusMsg);
string groupid = obj[0].id;
string name = obj[0].name;
string usercount = obj[0].userCount;
string participantsjson = obj[0].participantsJson;
Assert.IsNotNull(name);
Assert.IsNotNull(usercount);
Assert.IsNotNull(participantsjson);
}
Searching online, it looks like both ways of testing an API seem to be used, but I'm wondering what the best practice is. The second method seems a bit better because it naively tests the actual JSON response from the Web API without knowing the actual response object type, but it's more difficult to inject mock repositories this way - the tests would have to connect to a separate local Web API server that itself was somehow configured to use mock objects... I think?
Edit: TL;DR
The conclusion you should do both because each test serves a different purpose.
Answer:
This is a good question, one I often ask myself.
First, you must look at the purpose of a unit test and the purpose of an integration test.
Unit Test :
Unit tests involve testing a part of an app in isolation from its
infrastructure and dependencies. When unit testing controller logic,
only the contents of a single action are tested, not the behaviour of
its dependencies or of the framework itself.
Things like filters, routing, and model binding will not work.
Integration Test :
Integration tests ensure that an app's components function correctly
at a level that includes the app's supporting infrastructures, such as
the database, file system, and network. ASP.NET Core supports
integration tests using a unit test framework with a test web host and
an in-memory test server.
Things like filters, routing, and model binding will work.
“Best practice” should be thought of as “Has value and makes sense”.
You should ask yourself Is there any value in writing the test, or am I just creating this test for the sake of writing a test?
Let's say your GetGroups() method looks like this.
[HttpGet]
[Authorize]
public async Task<ActionResult<Group>> GetGroups()
{
var groups = await _repository.ListAllAsync();
return Ok(groups);
}
There is no value in writing a unit test for it! because what you are doing is testing a mocked implementation of _repository! So what is the point of that?!
The method has no logic and the repository is only going to be exactly what you mocked it to be, nothing in the method suggests otherwise.
The Repository will have its own set of separate unit tests where you will cover the implementation of the repository methods.
Now let's say your GetGroups() method is more than just a wrapper for the _repository and has some logic in it.
[HttpGet]
[Authorize]
public async Task<ActionResult<Group>> GetGroups()
{
List<Group> groups;
if (HttpContext.User.IsInRole("Admin"))
groups = await _repository.FindByExpressionAsync(g => g.IsAdminGroup == true);
else
groups = await _repository.FindByExpressionAsync(g => g.IsAdminGroup == false);
//maybe some other logic that could determine a response with a different outcome...
return Ok(groups);
}
Now there is value in writing a unit test for the GetGroups() method because the outcome could change depending on the mocked HttpContext.User value.
Attributes like [Authorize] or [ServiceFilter(….)] will not be triggered in a unit test.
.
Writing integration tests is almost always worth it because you want to test what the process will do when it forms part of an actual application/system/process.
Ask yourself, is this being used by the application/system?
If yes, write an integration test because the outcome depends on a combination of circumstances and criteria.
Now even if your GetGroups() method is just a wrapper like in the first implementation, the _repository will point to an actual datastore, nothing is mocked!
So now, not only does the test cover the fact that the datastore has data (or not), it also relies on an actual connection being made, HttpContext being set up properly and whether serialisation of the information works as expected.
Things like filters, routing, and model binding will also work.
So if you had an attribute on your GetGroups() method, for example [Authorize] or [ServiceFilter(….)], it will be triggered as expected.
I use xUnit for testing so for a unit test on a controller I use this.
Controller Unit Test:
public class MyEntityControllerShould
{
private MyEntityController InitializeController(AppDbContext appDbContext)
{
var _controller = new MyEntityController (null, new MyEntityRepository(appDbContext));
var httpContext = new DefaultHttpContext();
var context = new ControllerContext(new ActionContext(httpContext, new RouteData(), new ActionDescriptor()));
_controller.ControllerContext = context;
return _controller;
}
[Fact]
public async Task Get_All_MyEntity_Records()
{
// Arrange
var _AppDbContext = AppDbContextMocker.GetAppDbContext(nameof(Get_All_MeetUp_Records));
var _controller = InitializeController(_AppDbContext);
//Act
var all = await _controller.GetAllValidEntities();
//Assert
Assert.True(all.Value.Count() > 0);
//clean up otherwise the other test will complain about key tracking.
await _AppDbContext.DisposeAsync();
}
}
The Context mocker used for unit testing.
public class AppDbContextMocker
{
/// <summary>
/// Get an In memory version of the app db context with some seeded data
/// </summary>
/// <param name="dbName"></param>
/// <returns></returns>
public static AppDbContext GetAppDbContext(string dbName)
{
//set up the options to use for this dbcontext
var options = new DbContextOptionsBuilder<AppDbContext>()
.UseInMemoryDatabase(dbName)
.Options;
var dbContext = new AppDbContext(options);
dbContext.SeedAppDbContext();
return dbContext;
}
}
The Seed extension.
public static class AppDbContextExtensions
{
public static void SeedAppDbContext(this AppDbContext appDbContext)
{
var myEnt = new MyEntity()
{
Id = 1,
SomeValue = "ABCD",
}
appDbContext.MyENtities.Add(myEnt);
//add more seed records etc....
appDbContext.SaveChanges();
//detach everything
foreach (var entity in appDbContext.ChangeTracker.Entries())
{
entity.State = EntityState.Detached;
}
}
}
and for Integration Testing: (this is some code from a tutorial, but I can't remember where I saw it, either youtube or Pluralsight)
setup for the TestFixture
public class TestFixture<TStatup> : IDisposable
{
/// <summary>
/// Get the application project path where the startup assembly lives
/// </summary>
string GetProjectPath(string projectRelativePath, Assembly startupAssembly)
{
var projectName = startupAssembly.GetName().Name;
var applicationBaseBath = AppContext.BaseDirectory;
var directoryInfo = new DirectoryInfo(applicationBaseBath);
do
{
directoryInfo = directoryInfo.Parent;
var projectDirectoryInfo = new DirectoryInfo(Path.Combine(directoryInfo.FullName, projectRelativePath));
if (projectDirectoryInfo.Exists)
{
if (new FileInfo(Path.Combine(projectDirectoryInfo.FullName, projectName, $"{projectName}.csproj")).Exists)
return Path.Combine(projectDirectoryInfo.FullName, projectName);
}
} while (directoryInfo.Parent != null);
throw new Exception($"Project root could not be located using application root {applicationBaseBath}");
}
/// <summary>
/// The temporary test server that will be used to host the controllers
/// </summary>
private TestServer _server;
/// <summary>
/// The client used to send information to the service host server
/// </summary>
public HttpClient HttpClient { get; }
public TestFixture() : this(Path.Combine(""))
{ }
protected TestFixture(string relativeTargetProjectParentDirectory)
{
var startupAssembly = typeof(TStatup).GetTypeInfo().Assembly;
var contentRoot = GetProjectPath(relativeTargetProjectParentDirectory, startupAssembly);
var configurationBuilder = new ConfigurationBuilder()
.SetBasePath(contentRoot)
.AddJsonFile("appsettings.json")
.AddJsonFile("appsettings.Development.json");
var webHostBuilder = new WebHostBuilder()
.UseContentRoot(contentRoot)
.ConfigureServices(InitializeServices)
.UseConfiguration(configurationBuilder.Build())
.UseEnvironment("Development")
.UseStartup(typeof(TStatup));
//create test instance of the server
_server = new TestServer(webHostBuilder);
//configure client
HttpClient = _server.CreateClient();
HttpClient.BaseAddress = new Uri("http://localhost:5005");
HttpClient.DefaultRequestHeaders.Accept.Clear();
HttpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("application/json"));
}
/// <summary>
/// Initialize the services so that it matches the services used in the main API project
/// </summary>
protected virtual void InitializeServices(IServiceCollection services)
{
var startupAsembly = typeof(TStatup).GetTypeInfo().Assembly;
var manager = new ApplicationPartManager
{
ApplicationParts = {
new AssemblyPart(startupAsembly)
},
FeatureProviders = {
new ControllerFeatureProvider()
}
};
services.AddSingleton(manager);
}
/// <summary>
/// Dispose the Client and the Server
/// </summary>
public void Dispose()
{
HttpClient.Dispose();
_server.Dispose();
_ctx.Dispose();
}
AppDbContext _ctx = null;
public void SeedDataToContext()
{
if (_ctx == null)
{
_ctx = _server.Services.GetService<AppDbContext>();
if (_ctx != null)
_ctx.SeedAppDbContext();
}
}
}
and use it like this in the integration test.
public class MyEntityControllerShould : IClassFixture<TestFixture<MyEntityApp.Api.Startup>>
{
private HttpClient _HttpClient;
private const string _BaseRequestUri = "/api/myentities";
public MyEntityControllerShould(TestFixture<MyEntityApp.Api.Startup> fixture)
{
_HttpClient = fixture.HttpClient;
fixture.SeedDataToContext();
}
[Fact]
public async Task Get_GetAllValidEntities()
{
//arrange
var request = _BaseRequestUri;
//act
var response = await _HttpClient.GetAsync(request);
//assert
response.EnsureSuccessStatusCode(); //if exception is not thrown all is good
//convert the response content to expected result and test response
var result = await ContentHelper.ContentTo<IEnumerable<MyEntities>>(response.Content);
Assert.NotNull(result);
}
}
Added Edit:
In conclusion, you should do both, because each test serves a different purpose.
Looking at the other answers you will see that the consensus is to do both.
TL;DR
Is it best practice to test [...] directly or through an HTTP client?
Not "or" but "and". If you serious about best practices of testing - you need both tests.
First test is a unit test. But the second one is an integration test.
There is a common consensus (test pyramid) that you need more unit tests comparing to the number of integration tests. But you need both.
There are many reasons why you should prefer unit tests over integration tests, most of them boil down to the fact that unit test are small (in all senses) and integration tests - aren't. But the main 4 are:
Locality
When your unit test fails, usually, just from it's name you can figure out the place where the bug is. When integration test becomes red, you can't say right away where is the issue. Maybe it's in the controller.GetGroups or it's in the HttpClient, or there is some issue with the network.
Also, when you introduce a bug in your code it's quite possible that only one of unit tests will become red, while with integration tests there are more chances that more than one of them will fail.
Stability
With a small project which you can test on you local box you probably won't notice it. But on a big project with distributed infrastructure you will see blinking tests all the time. And that will become a problem. At some point you can find yourself not trusting test results anymore.
Speed
With a small project with a small number of tests you won't notice it. But on a bit project it will become a problem. (Network delays, IO delays, initialization, cleanup, etc., etc.)
Simplicity
You've noticed it yourself.
But that not always true. If you code is poorly structured, then it's easier to write integration tests. And that's one more reason why you should prefer unit tests. In some way they force you to write more modular code (and I'm not taking about Dependency Injection).
But also keep in mind that best practices are almost always about big projects. If your project is small, and will stay small, there are a big chance that you'll be better off with strictly opposite decisions.
Write more tests. (Again, that means - both). Become better at writing tests. Delete them latter.
Practice makes perfect.
If we limit the scope of discussion to Controller vs HttpClient testing comparison, I would say that it is better to use HttpClient. Because if you write tests for your controllers, you're already writing integration tests already and there is almost no point to write "weaker" integration tests while you can write stronger ones that is more realistic and also superset of the weaker ones.
For example, you can see from your own example that both of your test are testing exactly the same functionality. The different is that the latter one cover more area of testing -- JSON response, or can be something else like HTTP header you want to test. If you write the latter test, you don't need the first test at all.
I understand the pain of how to inject mocked dependencies. This requires more effort comparing to testing controller directly. However, .NET Core already provides a good set of tools to help you on that. You can setup the test host inside the test itself, configure it and get HttpClient from it. Then you can use that HttpClient for your testing purpose.
The other concern is that it is quite a tedious task to craft HttpClient's request for each test. Anyway, Refit can help you a lot on this. Refit's declarative syntax is quite easy to understand (and maintain eventually). While I would also recommend Refit for all remote API calls, it is also suitable for ASP.NET Core integration testing.
Combining all solutions available, I don't see why you should limit to controller test while you can go for more "real" integration test with only some little more effort.
I never have liked mocking in that as applications mature the effort spent on mocking can make for a ton of effort.
I like exercising endpoints by direct Http calls. Today there are fantastic tools like Cypress which allow the client requests to be intercepted and altered. The power of this feature along with easy Browser based GUI interaction blurs traditional test definitions because one test in Cypress can be all of these types Unit, Functional, Integration and E2E.
If an endpoint is bullet proof then error injection becomes impossible from outside. But even errors from within are easy to simulate. Run the same Cypress tests with Db down. Or inject intermittent network issue simulation from Cypress. This is mocking issues externally which is closer to a prod environment.
When doing unit test, it is important to know what are you going to test and write the tests based on your requirements. However, the second test, might looks like an integration test instead of an unit test, but I do not care to this point now!
Between your tests, I would recommend you to use the second option, because in the second unit test, you are testing your WebApi, as an WebApi, not as a class. For example suppose that you have a class with a method named X(). So how likely is it to write an unit test for it using Reflection? If it is completely unlikely, then writing an unit test based on Reflection is a waste of time. If it is likely, so you should write your test using Reflection too.
Moreover, using the second approach you are able to change the tech stack(For replace .Net with php) used for producing the WebApi, without changing you tests(This is what we expect from a WebApi too).
Finally, you should make a decision! how are you going to use this WebApi? How likely is it to call your WebApi using direct class instantiating?
Note:
It might be irrelevant to your question, but you should concentrate on your Asserts, too. For example asserting ResponseStatusCode and ResponseStatusMsg might not be needed and you can assert only one.
Or what will happen if obj is null? or obj has more than one member?
I'd say that they are not mutually exclusive. The first option is a classical unit test while the second is an integration test as involves more than a single unit of code.
If I had time to write either unit tests or integration tests, I'd pick unit tests as provides a more focused approach and gives, at least in my opinion, the best result from cost benefit.
In some particular projects where I had enough resources to write different suites of tests, I wrote both tests covering approaches. Where the second one would run without mocking anything (or maybe just the persistent storage) so I could test how all the components integrate together.
In relation to good practices, if you want to do real unit test, then you have no option but picking option one as no external dependencies are allowed (HttpClient is an external dependency).
Then, if the time and resources allow it, you could do integration testing for the most critical and/or complex paths.
If you are looking for some non programming You can use Postman, and can create collection of requests and can test multiple requests one by one.
You can use Swagger (aka OpenAPI).
Install Swashbuckle.AspNetCore from nuget.
using Microsoft.OpenApi.Models;
//in Startup.ConfigureServices
public void ConfigureServices(IServiceCollection services)
{
services.AddSwaggerGen(c =>
{
c.SwaggerDoc("v1", new OpenApiInfo { Title = "My API", Version = "v1" });
});
}
//in Startup.Configure
public void Configure(IApplicationBuilder app)
{
app.UseSwagger();
app.UseSwaggerUI(c =>
{
c.SwaggerEndpoint("/swagger/v1/swagger.json", "My API V1");
});
}
Finally, add "launchUrl": "swagger", in launchSettings.json
I used Dapper.Contrib in my Asp.Net Core Web API project.
I encountered a problem while writing a test with xUnit in this project.
For example, here is my method that adds records to my data layer.
public async Task<bool> AddAsync(User entity)
{
await using var connection = _dbConnection.CreateDbConnection();
await connection.OpenAsync();
return await connection.InsertAsync(entity) > 0;
}
My xUnit method that I try to write according to this method is below.
[Fact]
public void AddAsync_Should_Return_As_Expected()
{
var connection = new Mock<DbConnection>();
//Arrange
_userDbConnection.Setup(u => u.CreateDbConnection()).Returns(connection.Object);
//Act
var result = _sut.AddAsync(_user).GetAwaiter().GetResult();
//Assert
//Assert.Equal(result,actual);
}
When I run this test method, I get object not set error in
'return await connection.InsertAsync(entity) > 0;' line.
What exactly is my fault?
I believe what is happening is you are using a mocked connection and trying to call a Dapper method, InsertAsync, on it. The Dapper method is inevitably failing because it is not a real connection.
I'm not sure how much value you get using mocks here. What you really want to know, when testing AddAsync, is does it actually do what you want it to do which is insert data into the database. So if I were you I would turn this test into an integration test by using a real connection instead of a mocked one. One way of doing this is to
Use a test database for the purposes of testing
Before running the test delete all data from the test database
In your assert use Dapper or otherwise to check that a query for the entity brings back the data you expect to be in the database.
I don't necessarily recommend this but another approach could be to use an in memory database. See for example unit testing Dapper Repositories.
I have a project in C# and Framework 6. I have a WEB API to call the methods.
what is the best way to write a unit test for async WebAPI methods?
This is the method I have:
[HttpGet]
[Route("GetYears")]
public Task<IEnumerable<Year>> GetYearsAsync()
{
return reditApplicationsRepository.GetYearsAsync();
}
You can use await to do this too.
[TestMethod]
public async Task GetYearsTest()
{
//_sut is the System Under Test, in this case is an instance of your controller
var years = await _sut.GetYears();
//Any Assert that you want
}
And to stub the return of the method creditApplicationsRepository.GetYearsAsync(); use this Task.FromResult(mockReturn).
The key objective of a unit test is to test the functionality of the code inside a method. So async or not should not be particularly relevant functionally.
So I would say do something like this:
[TestMethod]
public void GetYearsTest(){
//This would assume that your web api class has a mockable repository
var yourClass = new YourClass(new MockRepository());
//this is going to run your codes synchronously so you can get an immediate result to test on.
var years = yourClass.GetYears().Result;
//Run whatever test you want to on this
Assert.IsNotNull(years);
}
If the purpose of running an Async test is to determine if your code is thread safe you will have to get creative to determine how to properly test your code to ensure it is in fact safe. In order for me to assist with that I would need to know more about the repo that is being used here or what variables could potentially get thread locked or result in an error.