unit testing for Data access layer c# - c#

I have the following method wherein the business layer is interacting with the data access layer and returning the collection object. I'm new to unit testing, but need to add automated unit tests to the solution. I read multiple articles and theory related to unit testing, but I'm confused with how to proceed. It would be really helpful If somebody can guide me with approach,
[DataObjectMethod(DataObjectMethodType.Select, true)]
public static WorkQueueBE GetItemByDetailsID(int detailsID)
{ return WorkQueueDB.GetItemByDetailsID(detailsID); }
This method gives call to GetItemsByDetailsID method in db layer, which in turn calls a stored procedure, gets the data from database, fills the collection and returns an object.

I'm gonna summarize the comments a bit as well as add some new thoughts. You write
This method gives call to GetItemsByDetailsID method in db layer,
which in turn calls a stored procedure, gets the data from database,
fills the collection and returns an object.
A comment to this is -> A unit test should only test an isolated part of your logic, that will say a single method. Not the entire flow, that's an integration test.
From what I see in your code snippet you use concrete classes. If you really want to make your application easy to test you need to use interfaces and abstract classes that can be instantiated to concrete classes as well as easily mocked and stubbed. An natural way on how to learn how to implement interfaces, abstract classes and concrete classes is to do Test Driven Development. Start with a small project and learn from there :)
If I would want to unit test your method that you've provided I would separate your logic from the data-access layer. This I would do by making the data-access layer classes implement interfaces of what they should do. This way I can mock the data-access layer and just return a specific snippet of data, just the part I need to create my unit tests for the business-layer method. After all, in this case I want to test the business-layer-method's logic, not the data-access-layer-method's.
It is quite tough to start doing unit-testing-friendly code but when you start getting a grip of you are gonna love it :)
This was a lot of theory and no concrete example because I think you need to start with a small project of your own and do it the TDD way, by doing this you will understand how everything works concerning unit testing.
Some links to get you started
https://msdn.microsoft.com/en-us/library/aa730844(v=vs.80).aspx
https://msdn.microsoft.com/en-us/library/ff847525(v=vs.100).aspx
http://www.codeproject.com/Articles/321154/Test-Driven-Development-TDD-in-Csharp
Also Pluralsight has some courses on this. Hope this helps!

Related

How to write unit test for service having dependency on other service or database

Sorry if I am asking very basic question,
I have set of web services (developed using .Net WebApi). These services are either business layer or data access layer APIs. These APIs are either dependent on other services or database itself.
I want to write unit test cases for it. I have following questions
As business layer APIs has dependency on data access service or some other service. If I write unit test just to invoke business API then it would invoke data access API. Is this the correct way to write unit test case? or should I inject all dependency object with unit test? I think earlier one would be integration test not unit test.
Should I write unit tests for Data access layer at all? I checked this link (Writing tests for data access code: Unit tests are waste) and it says DAL does not require unit tests. Should I still write tests for data access layer. I think it would be integration test not unit tests?
Question 1:
I would say if you want to do TDD, then it's not the "correct" way, because as you said, you would be performing integration tests. Then again, maybe you don't want to do TDD and integration tests are good enough for you, but to answer the question: this wouldn't be the proper way to **unit-**test your code.
Question 2
I would say it depends what you have in your data access layer. For instance, if you implement repositories, you will probably want to write a few tests.
Save method
You want to make sure that given an entity that you have retrieved from your repository, editing some properties of this entity and persisting the changes will actually save the modifications and not create a new entity. Now: you might think this is an integration test, but it really depends on how well designed your code is. For instance, your repository could be just an extra layer of logic on top of a low-level ORM. In that case, when testing the save method, what you will do is that you will assert that the right methods are called with the right parameters on the ORM service injected in your repository.
Errors and exceptions
While accessing data, it is possible to have problems such as connection to the database being broken, or that the format of the data is not as expected, or deserialization problems. If you want to provide some good error handling and perhaps create custom exceptions and add more information to them depending on the context, then you definitely want to write tests to make sure the corrext information is propagated
on the other hand
If your DAL is just a few classes that wrap a non-mockable ORM, and you don't have any logic in there, then perhaps you don't need tests, but it seems that this doesn't happen too often, you will pretty much always have a bit of logic that can go wrong and that you want to test.

TDD Inside Out: Queries of how to do it correctly?

I am attempting to do TDD right ! I was reading about the TDD Inside Out as opposed to Outside In. Reason being is that i don't know how my layers up front so my idea was to start writing a test, have it fail and then start writing my first layer.
While writing my first layer I notice that I need another layer, lets call it a service layer. This is where I get confused, what do I do here ?
Do I stop and create a new Test that fails so that I can implement my new service layer using TDD? Once done, I go back to my original layer and should I create a mock of my service layer here ? Or use the service layer I just create via TDD?
This is TDD right ? So if I am mocking things out then maybe my TDD is not driving my development ? But of course if I don't mock things out, these technically are not unit tests but more of integration tests ?
If indeed my unit tests (written via TDD) use mocks then I need to have some other kind of tests to test the integration of each individual layer as one unit ??
An integration test or e2e test?
I think my problems are basically when I need to introduce new layers, should I mock these out, should I create a new test to drive the development of this new layer?
I hope somebody can help with untangling this muddle I have myself in !
Thanks
With more experience , you will become better with that.
But for now let me say this.
First of all, think about TDD as a tool to design clean code (check Uncle Bob's Clean Code to get more insight.). By no means it replaces any system design efforts. That means that you have to know what you want classes to design (at least roughly) and you have to define interfaces between those classes as well.
Second, unit tests according to Mike Cohn - Working Effectively with Legacy Code - Chapter 2 are tests that do not:
talk to a database
communiating accross a network
touching the file system
require you to do special things with your environment to run.
So, you should be well in the limits of a unit test.
In general, you want to write unit tests for each component (or class). That means you create fake classes or mocks for each of the interfaces, e.g. for each of your service layer classes. This means that you have to know the exact interface (method parameters and return value) that each of the call needs.
Try to get as far as possible with one instance and then move on to the next.
If you are unsure about how your design has to look like, consider building an untested prototype. Just as much code so you see the components working together and to help build your interfaces. Then sketch down the design, throw away your prototype and start over with a TDD approach.
When developing in TDD style you should work with interfaces as much as possible.
Unit testing means that you test every unit isolated from most (ideally all) other code.
So in your case: if the code you currently work on needs to make calls to some service layer. then jsut create an interface for the new modules and mock their correct behaviour (or expected error behaviour if you want to test error handling).
... and put testing your new service layer on your todo list ;)
This way you concentrate your work on your current unit and have an interface ready for your service layer, when you start working on this.
if you want to test how your layers work together, you need some kind of integration test.

TDD: .NET following TDD principles, Mock / Not to Mock?

I am trying to following TDD and I have come across a small issue. I wrote a Test to insert a new user into a database. The Insert new user is called on the MyService class, so I went ahead and created mytest. It failed and I started to implement my CreateUser method on my MyService Class.
The problem I am coming across is the MyService will call to a repository (another class) to do the database insertion.
So I figured I would use a mocking framework to mock out this Repository class, but is this the correct way to go?
This would mean I would have to change my test to actually create a mock for my User Repository. But is this recommended? I wrote my test initially and made it fail and now I realize I need a repository and need to mock it out, so I am having to change my test to cater for the mocked object. Smells a bit?
I would love some feedback here.
If this is the way to go then when would I create the actual User Repository? Would this need its own test?
Or should I just forget about mocking anything? But then this would be classed as an integration test rather than a unit test, as I would be testing the MyService and User Repository together as one unit.
I a little lost; I want to start out the correct way.
So I figured I would use a mocking framework to mock out this
Repository class, but is this the correct way to go?
Yes, this is a completely correct way to go, because you should test your classes in isolation. I.e. by mocking all dependencies. Otherwise you can't tell whether your class fails or some of its dependencies.
I wrote my test initially and made it fail and now I realize I need a
repository and need to mock it out, so I am having to change my test
to cater for the mocked object. Smells a bit?
Extracting classes, reorganizing methods, etc is a refactoring. And tests are here to help you with refactoring, to remove fear of change. It's completely normal to change your tests if implementation changes. I believe you didn't think that you could create perfect code from your first try and never change it again?
If this is the way to go then when would I create the actual User
Repository? Would this need its own test?
You will create a real repository in your application. And you can write tests for this repository (i.e. check if it correctly calls the underlying data access provider, which should be mocked). But such tests usually are very time-consuming and brittle. So, it's better to write some acceptance tests, which exercise the whole application with real repositories.
Or should I just forget about mocking anything?
Just the opposite - you should use mocks to test classes in isolation. If mocking requires lots of work (data access, ui) then don't mock such resources and use real objects in integration or acceptance tests.
You would most certainly mock out the dependency to the database, and then assert on your service calling the expected method on your mock. I commend you for trying to follow best practices, and encourage you to stay on this path.
As you have now realized, as you go along you will start adding new dependencies to the classes you write.
I would strongly advise you to satisfy these dependencies externally, as in create an interface IUserRepository, so you can mock it out, and pass an IUserRepository into the constructor of your service.
You would then store this in an instance variable and call the methods (i.e. _userRepository.StoreUser(user)) you need on it.
The advantage of that is, that it is very easy to satisfy these dependencies from your test classes, and that you can worry about instantiating of your objects, and your lifecycle management as a separate concern.
tl;dr: create a mock!
I have two set of testing libraries. One for UnitTests where I mock stuff. I only test units there. So if I would have a method of AddUser in the service I would create all the mocks I need to be able to test the code in that specific method.
This gives me a possibility to test some code paths that I would not be able to verify otherwise.
Another test library is for Integration tests or functional tests or whatever you want to call it. This one is making sure that a specific use case. E.g. Creating a tag from the webpage will do what i expect it to do. For this I use the sql server that shipps with Visual studio 2012 and after every test I delete the database and start over.
In my case I would say that the integration tests are much more important then the unit tests. This is because my application does not have so much logic, instead it is displaying data from the database in different ways.
Your initial test was incomplete, that's all. The final test is always going to have to deal with the fact the new user gets persisted.
TDD does not prescribe the kind of test you should create. You have to choose beforehand if it's going to be a unit test or some kind of integration test. If it's a unit test, then the use of mocking is practically inevitable (except when the tested unit has no dependencies to isolate from). If it's an integration test, then actual database access (in this case) would have to be taken into account in the test.
Either kind of test is correct. Common wisdom is that a larger unit test suite is created, testing units in isolation, while a separate but smaller test suite exercises whole use case scenarios.
Summary
I am a huge fan of Eiffel, but while the tools of Eiffel like Design-by-Contract can help significantly with the Mock-or-not-to-Mock question, the answer to the question has a huge management-decision component to it.
Detail
So—this is me thinking out loud as I ponder a common question. When contemplating TDD, there is a lot of twisting and turning on the matter of mock objects.
To Mock or Not to Mock
Is that the only binary question? Is it not more nuanced than that? Can mocks be approached with a strategy?
If your routine call on an object under test needs only base-types (i.e. STRING, BOOLEAN, REAL, INTEGER, etcetera) then you don't need a mock object anyhow. So, don't be worried.
If your routine call on an object under test either has arguments or attributes that require mock objects to be created before testing can begin then—that is where the trouble begins, right?
What sources do we have for constructing mocks?
Simple creation with:
make or default create
make with hand-coded base-type arguments
Complex creation with:
make with database-supplied arguments
make with other mock objects (start this process again)
Object factories
Production code based factories
Test code based factories
Data-repo based data (vs hand-coded)
Gleaned
Objects from prior bugs/errors
THE CHALLENGE:
Keeping the non-production test-code bloat to a bare minimum. I think this means asking hard but relevant questions before willy-nilly code writing begins.
Our optimal goal is:
No mocks needed. Strive for this above all.
Simple mock creation with no arguments.
Simple mock creation with base-type arguments.
Simple mock creation with DB-repo sourced base-type arguments.
Complex mock creation using production code object factories.
Complex mock creation using test-code object factories.
Objects with captured states from prior bugs/errors.
Each of these presents a challenge. As stated—one of the primary goals is to always keep the test code as small as possible and reuse production code as much as possible.
Moreover—perhaps there is a good rule of thumb: Do not write a test when you can write a contract. You might be able to side-step the need to write a mock if you just write good solid contract coverage!
EXAMPLE:
At the following link you will find both an object class and a related test class:
Class: https://github.com/ljr1981/stack_overflow_answers/blob/main/src/so_17302338/so_17302338.e
Test: https://github.com/ljr1981/stack_overflow_answers/blob/main/testing/so_17302338/so_17302338_test_set.e
If you start by looking at the test code, the first thing to note is how simple the tests are. All I am really doing is spinning up an instance of the class as an object. There are no "test assertions" because all of the "testing" is handled by DbC contracts in the class code. Pay special attention to the class invariant. The class invariant is either impossible with common TDD facilities, or nearly impossible. This includes the "implies" Boolean keyword as well.
Now—look at the class code. Notice first that Eiffel has the capacity to define multiple creation procedures (i.e. "init") without the need for a traffic-cop switch or pattern-recognition on creation arguments. The names of the creation procedures tell the appropriate story of what each creation procedure does.
Each creation procedure also contains its own preconditions and post-conditions to help cement code-correctness without resorting to "writing-the-bloody-test-first" nonsense.
Conclusion
Mock code that is test-code and not production-code is what will get you into trouble if you get too much of it. The facility of Design-by-Contract allows you to greatly minimize the need for mocks and test code. Yes—in Eiffel you will still write test code, but because of how the language-spec, compiler, IDE, and test facilities work, you will end up writing less of it—if you use it thoughtfully and with some smarts!

Unit testing the repository. NHibernate

I've got NHibernate-based (constructor ISessionFactory injection) generic repository implementation which is stored inside DAL. It implements contract which is stored in `Domain Layer'.
Should I test real repository behavior using SQl CE or should I refactor my application to support agnostic-like (like in Tim Maccharty's book http://www.wrox.com/WileyCDA/WroxTitle/productCd-0470147563,descCd-authorInfo.html) Unit of Work and then give my fake implementation of IUnitOfWorkRepository?
Is it a valid approach to run tests on a local database exposing real repository implementation?
Thanks!
The issue is what your are testing and why. That will answer the question.
If:
I want to test a third party tool
That is, are you testing if NHibernate is working (not a kind of test
I do). Then do whatever it requires, so refactoring not required. Loose yourself.
I want to test how my code interacts with a thrid party tool
Then you are talking about what I like to call a interaction test. Refactoring is required as your more interested in how your using NHiberate than if it works.
I want to test my code
The abstract NHibernate entirely. Do whatever is necessary ... wrapper? Your now back into unit testing.
I want to test my application from a user point of view
I think this is above the scope your talking. But you can use this scope talking about components. So ... hmmm ... worthwhile but not easy. Not a unit test, so you want to instantiate the component/app and run the whole thing as its 'user' does. I call these 'UATs' and usually implement as 'Coded UATs'.
A unit test is testing a unit in isolation. So, no, it's not even a unit test if you're going to the database.
Abstract away and test your repositories with mocked up interfaces.
I think to test the repositories you need to use the actual scenario. Otherwise you don't have any other place to test the database access. Mocking the repositories is not a good practice. Because you don't have any logic which is need to test in the repositories. I think you need to write integration tests which is calling actual repositories to have any benefit from it.

Unit testing rules

My question may appear really stupid for some of you but i have to ask.. Sorry..
I don't really understand principles of unit testing.. How can you test classes of your business classes or Data access layer without modify your database?
I explain, i have a functionality who update a field in a database.. Nothing so amazing..
The Business layer class is instantiated and the method BLL.Update() makes some controls and finally instantiate a DAL class who launch a stored procedure in the database with the correct parameters.
Its works but my question is..
To do unit tests who test the DALayer class i have to impact the database in the tests! To test for example if the value 5 is well passed to the DataBase i have to do that and database's field will be 5 after the test!
So i know normally the system is not impacted by tests so i don't understand how you can do tests without without execute methods..
Tx for answers and excuse my poor English..
I will divide your question into several sub questions because it is hard to answer them together.
Unit testing x Integration testing
When you write unit test you are testing simple unit. That means you are testing single execution path in tested method. You need to avoid testing its dependencies like mentioned database. You usually write simple unit test for each execution path so that you have good code coverage by your tests.
When you write integration test you are testing all layers to see if integration and configuration works. You usually don't write integration test for each execution path because there is to many combination accross all layers.
Testing business classes - unit testing
You need to test your business classes without dependency to DAL and DB. To do that you have to design your BL class so that those dependencies are injected from outside. First you need to define abstract class or interface for DAL and pass that DAL interface as parameter to constructor (another way is to expose setable property on BL class). When you test your BL class you will use another implementation of DAL interface which is not dependent on DB. There are well known test patterns Mock, Stub and Fake which defines how to create and use those dummy implementations. Mocking is also supported by many testing frameworks.
Testing data access layer - integration testing
You need to test your DAL against real DB. You will prepare testing DB with test set of data and you will write your tests to work with that data. Each test will run in its own transaction which will be rolled back at the end so it will not modify initial data set.
Best regards, Ladislav
For the scenario you describe in terms of db interaction, mocking is useful. If you have a chance, take a look at Rhino Mocks
You use Inversion of Control together with a mocking framework, e.g. Rhino Mocks as someone already mentioned
If you are not resorting to mocking and using actual DB in testing then it will be integration testing in layman terms and it's not a unit test anymore. I worked on a project where a dedicated sql .mdf was in source control that was attached to database server using NUnit in [Setup] part of [SetupFixture], similary detached in [TearDown]. This was done everytime NUnit test were performed and could be very time consuming depending upon the SQL code you have as well as size of data can make worse.
Now the catch is the maintenance overhead, you may change the DB scehma during you sprint cycle and at relaease, the change DB script has to be run on all databases used in your development and testing including the one used for integration testing as mentioned above. Not just that, new test data (as someone mentioned above) has to be popoulated for new tables/columns created and likewise, the exisitng data may need to be cleansed as well owing to requirements changes or bug fixes.
This seems to be a task in itself and someone competent in team can take the ownership or if time permits you can integrate the execution of change scripts as part of Continuous Integration if you already implemented one. Still the adding and cleansing the test data need to be taken care of manually.

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