UnitTesting: how to pass my mock class in the read code - java

I am using hazelcast in my project and I want to unit test some function but i do not want it to connect to real hazelcast and perform test on it for that i created a custom mock class which simply uses scala map because in hazelcast maps also there
here is my code
trait UserRepository {
def getUserObj(id: String):Option[User]
def addToUserRepo(user: User)
}
class UserRepo extends UserRepository{
def getUserObj(id: String):Option[User] = {
val userMap = hcastClient.getMap[String, User]("UserMap")
val userObj = userMap.get(id)
Option(userObj)
}
def addToUserRepo(user: User) = {
val directUserMap: IMap[String, User] = hcastClient.getMap[String,User]("UserMap")
directUserMap.set(user.uuid, user)
}
and here i created a simple customized mocked version class where the functionality is same just; replaced it with scala map:
class UserRepoMock extends UserRepository {
val map:Map[String,User]=Map[String,User]()
def getUserMap:Map[String,User] = {
map
}
def getUserObj(id: String):User = {
val userMap = getUserMap
val userObj = userMap.get(id)
userObj
}
def addToUserRepo(user: User) = {
val userMap = getUserMap
userMap.put(user.uuid, user)
}
class UserUtil(userRepo:UserRepo) {
def addUser(user:User):Boolean={
try{
userRepo.addToUserRepo(user)
true
}
catch {
case e:Exception=>false
}
def getUser(id:String):User={
val user=userRepo.getUserObj(id)
user
}
Mow i want to unit test methods addUser and getUserof UserUtil class
by doing like this:
class UserUtilTest extends funSpec {
val userUtil=new UserUtil(new UserRepoMock)
userUtil.addUser //perform unit test on it
userUtil.getUser //perform unit test on it
// instead of doing this val userUtil=new UserUtil(new UserRepo)
}
but the compiler not allowing me to do that,there is something which i am missing, Please help me how can i achieve the desired functionality
This is the compiler error:
type mismatch; found : testhcastrepo.UserRepoMock required: com.repositories.UserRepo

Well: your utils class says:
class UserUtil(userRepo:UserRepo)
So it needs an instance of UserRepo.
But then your are passing an instance of UserRepoMock. A UserRepoMock is a UserRepository, as UserRepo is; but a UserRepoMock is not a UserRepo!
Probably it is as simple as changing the utils to
class UserUtil(userRepo:UserRepository)
to indicate that you don't want to specify a specific class. Instead you simply say: anything that has the trait will do!
Beyond that: the real answer might be: have a look at your naming habits. You see, those two names UserRepositor and UserRepo; they are pretty "close" to each other; and it is not at all clear, what the difference between the two is. If the names would be more distinct, like UserRepositoryTrait and HCastUserRepository you probably would not have made this mistake in the first place (not sure my suggestions are "good" names according to scala conventions; but they are just meant to give you an idea).

Related

Chained creational OOP design pattern problem

I am creating a class that is responsible for validating a configuration. This class calls other classes that validate said config by creating new instances in the form of a chain. At first glance, the code structure looks horrible, but It works. Anyway, I think it's not the best way to handle this logic.
I leave here a simplified version of the code in TypeScript, but I also leave it in Python and Java for reference only:
class Validator {
private _notValidatedConfig: NotValidatedConfig
constructor(notValidatedConfig: NotValidatedConfig) {
this._notValidatedConfig = notValidatedConfig
}
validateConfig(): ValidatedConfig {
return (
new Phase4Validation(
new Phase3Validation(
new Phase2Validation(
new Phase1Validation(
this._notValidatedConfig
).validate()
).validate()
).validate()
).validate()
)
}
// Alternative
validateConfig2(): ValidatedConfig {
const validatedPhase1Config: ValidatedPhase1Config = new Phase1Validation(this._notValidatedConfig).validate()
const validatedPhase2Config: ValidatedPhase2Config = new Phase2Validation(validatedPhase1Config).validate()
const validatedPhase3Config: ValidatedPhase3Config = new Phase3Validation(validatedPhase2Config).validate()
const validatedPhase4Config: ValidatedPhase4Config = new Phase4Validation(validatedPhase3Config).validate()
return validatedPhase4Config;
}
}
Python
Java Disclaimer: I don't have any experience with Java, so maybe there are some syntax errors.
The "alternative" is the same code, but not directly chained, instead, for every validation, it's creating a new variable.
I think the "alternative" is more readable but performs worse.
What do you think about this code? what did you change? How would you face this problem or with what design pattern or framework? (programming language doesn't matter for these question)
I would create a base class Validation and just create derived classes from it if it is necessary to add new validation:
public abstract class Validation
{
public Validation(string config)
{
}
public abstract string Validate();
}
and its concrete implementations:
public class Phase1Validation : Validation
{
public Phase1Validation(string config) : base(config)
{}
public override string Validate()
{
if (true)
return null;
return "There are some errors Phase1Validation";
}
}
public class Phase2Validation : Validation
{
public Phase2Validation(string config) : base(config)
{
}
public override string Validate()
{
if (true)
return null;
return "There are some errors in Phase2Validation";
}
}
and then just create a list of validators and iterate through them to find errors:
public string Validate()
{
List<Validation> validations = new List<Validation>()
{
new Phase1Validation("config 1"),
new Phase2Validation("config 2")
};
foreach (Validation validation in validations)
{
string error = validation.Validate();
if (!string.IsNullOrEmpty(error))
return error;
}
return null; // it means that there are no errors
}
UPDATE:
I've little bit edited my classes to fit your new question requirements:
validations should be ordered. Added Order property
get config from previous validation and send it to the next validation
It can be seen that this approach allows to avoid to write nested classes like this:
new Phase4Validation(
new Phase3Validation(
new Phase2Validation(...).validate()
).validate()
).validate()
So you can add new classes without editing validation classes and it helps to keep Open CLosed Principle of SOLID principles.
So the code looks like this:
Abstractions:
public abstract class Validation
{
// Order to handle your validations
public int Order { get; set; }
// Your config file
public string Config { get; set; }
public Validation(int order)
{
Order = order;
}
// "virtual" means that method can be overriden
public virtual string Validate(string config)
{
Config = config;
if (true)
return null;
return "There are some errors Phase1Validation";
}
}
And its concrete implementations:
public class Phase1Validation : Validation
{
public Phase1Validation(int order) : base(order)
{
}
}
public class Phase2Validation : Validation
{
public Phase2Validation(int order) : base(order)
{
}
}
And method to validate:
string Validate()
{
List<Validation> validations = new List<Validation>()
{
new Phase1Validation(1),
new Phase2Validation(2)
};
validations = validations.OrderBy(v => v.Order).ToList();
string config = "";
foreach (Validation validation in validations)
{
string error = validation.Validate(config);
config = validation.Config;
if (!string.IsNullOrEmpty(error))
return error;
}
return null; // it means that there are no errors
}
I leave here my own answer, but I'm not going to select it as correct because I think there exist better answers (besides the fact that I am not very convinced of this implementation).
A kind of Decorator design pattern allowed me to do chain validation with greater use of the dependency injection approach.
I leave here the code but only for Python (I have reduced the number of phases from 4 to 2 to simplify the example).
from __future__ import annotations
import abc
from typing import cast
from typing import Any
from typing import TypedDict
NotValidatedConfig = dict
ValidatedConfig = TypedDict("ValidatedConfig", {"foo": Any, "bar": Any})
class InvalidConfig(Exception):
...
# This class is abstract.
class ValidationHandler(abc.ABC):
_handler: ValidationHandler | None
def __init__(self, handler: ValidationHandler = None):
self._handler = handler
# This method is abstract.
#abc.abstractmethod
def _validate(self, not_validated_config: NotValidatedConfig):
...
def _chain_validation(self, not_validated_config: NotValidatedConfig):
if self._handler:
self._handler._chain_validation(not_validated_config)
self._validate(not_validated_config)
def get_validated_config(self, not_validated_config: NotValidatedConfig) -> ValidatedConfig:
self._chain_validation(not_validated_config)
# Here we convert (in a forced way) the type `NotValidatedConfig` to
# `ValidatedConfig`.
# We do this because we already run all the validations chain.
# Force a type is not a good way to deal with a problem, and this is
# the main downside of this implementation (but it works anyway).
return cast(ValidatedConfig, not_validated_config)
class Phase1Validation(ValidationHandler):
def _validate(self, not_validated_config: NotValidatedConfig):
if "foo" not in not_validated_config:
raise InvalidConfig('Config miss "foo" attr')
class Phase2Validation(ValidationHandler):
def _validate(self, not_validated_config: NotValidatedConfig):
if not isinstance(not_validated_config["foo"], str):
raise InvalidConfig('"foo" must be an string')
class Validator:
_validation_handler: ValidationHandler
def __init__(self, validation_handler: ValidationHandler):
self._validation_handler = validation_handler
def validate_config(self, not_validated_config: NotValidatedConfig) -> ValidatedConfig:
return self._validation_handler.get_validated_config(not_validated_config)
if __name__ == "__main__":
# "Pure Dependency Injection"
validator = Validator((Phase2Validation(Phase1Validation())))
validator.validate_config({"foo": 1, "bar": 1})
What is the problem with this approach?: the lightweight way in which the types are concatenated. In the original example, the Phase1Validation generates a ValidatedPhase1Config, which is safely used by the Phase2Validation. With this implementation, each decorator receives the same data type to validate, and this creates safety issues (in terms of typing). The Phase1Validation gets NotValidatedConfig, but the Phase2Validation can't use that type to do the validation, they need the Phase1Validation.

scala - delegate implementation design pattern (without reflection ?)

I would like to expose a public API (a kind of Runnable) and let users implement it, and then execute that code against our servers (given the class name containing the code to run). Users provide a jar containing their implementation and should not have access to implementation details.
Below is a snippet illustrating the issue.
The public API:
package mypackage
trait MyTrait {
def run(i: Int) : Unit
}
A sample user's implementation:
package mypackage
object MyImpl extends MyTrait {
override def run(i : Int) : Unit = {
println(i)
}
}
The server-side code running the user's code:
package mypackage
import scala.reflect.runtime.{universe => ru}
object MyTest extends App {
val m = ru.runtimeMirror(getClass.getClassLoader)
val module = m.staticModule("mypackage.MyImpl")
val im = m.reflectModule(module)
val method = im.symbol.info.decl(ru.TermName("run")).asMethod
val objMirror = m.reflect(im.instance)
objMirror.reflectMethod(method)(42)
}
The above code works (printing "42"), but the deisgn seems ugly to me.
In addition it seems unsafe (class instead of object, object that does not exist or does not implement the correct interface).
What's the best way to achieve this ?
I am using Scala 2.11.8.
Thanks for your help

Declare Fields in groovy class Spock framework Unit test Case

I am make a Test Class for testing Employee Service , Everything is working fine , Except when i use a Field in other function it gets null.
// field
Employee employee;
// this will be assigned to return of below
employee= employeeService.create(emp);
// this(employee) gets null
Now what is want is to use
employeeService.remove(employee.getId);
for delete test function ,
Below is my code . Kindly provide some suggestion
I am new to groovy.
package services.employee
import spock.lang.Specification
#ContextConfiguration(loader = SpringApplicationContextLoader.class,classes = Application.class)
class EmployeeSpec extends Specification{
#Autowired
EmployeeService employeeService;
Employee response = null;
def "Check if Employee exists"(){
setup:
long empid = 43;
when:
empid > 0
then:
employeeService.getEmployee(empid);
}
def "Find all Employee"(){
setup:
when:
def res = employeeService.getAllEmployees();
then:
res.size()>0;
}
def "Insert a New Employee"(){
setup:
Employee employee = new Employee();
employee.setName("Ajit Singh");
employee.setCity("Delhi");
employee.setAge(34);
when:
response = employeeService.createEmployee(employee);
then:
response.getName().equals("Ajit Singh");
}
def "Updating an Employee"(){
}
def "delete an Employee"(){
setup:
if (response.equals(null))
println("Object is null");
when:
employeeService.removeEmployee(response.empID)
then:
def res = employeeService.find(response.empID);
res == null;
}
}
While Ivans answer above works, the proper way to do this in Spock is to use the #Shared annotation:
#Shared Employee response = null
(see https://spockframework.github.io/spock/docs/1.1-rc-1/all_in_one.html#_fields)
To cite the docs why this is the proper way to do it:
Static fields should only be used for constants. Otherwise shared fields are preferable, because their semantics with respect to sharing are more well-defined.
Yes, you can use #Shared tag, variable declared with that tag is likely global variable in java or C.
I don't know what your 'createEmployee' function is returning, but that's not a problem in groovy as you can use 'def' type instead of all types.
So, you just add #Shared def response = null

Dynamic Google Juice injection depending on value of an annotation [duplicate]

Is there any way to bind with provider which interprets target's annotation value in Google Guice?
Example:
bind(Resource.class)
.annotatedWith(MyAnnotation.class)
.toProvider(new MyProvider<MyAnnotation, Resource>{
public Resource get(MyAnnotation anno){
return resolveResourceByAnnoValue(anno.value());
}
});
I want to initialize field of an Android Activity class by annotated binding.
It should have to take multiple resources by it's unique Id.
Original Way:
public class TestActivity extends Activity{
private TextView textView;
private Button testButton;
public void onAfterCreate(...){
// set UI declaration resource.
setContentView(R.layout.activity_test);
// initialize fields, it must be done after setting ui definition.
textView = (TextView) findViewById(R.id.textView);
.... initialize other fields, hook them...
...
}
I want to bind UI and it's field in declarative way, not pragmatically likes above:
#ResourceID(R.layout.activity_test)
public class TestActivity extends InjectiveActivity{
#ResourceID(R.id.textView) // Auto generated static resource id constant
private TextView textView;
#ResourceID(R.id.testButton)
private Button testButton;
...
}
This isn't possible as such.
If #MyAnnotation is a binding annotation, it will be compared using its equals method. #MyAnnotation(5) Resource will be bound to #MyAnnotation(5) Resource, and that will not match at all compared to #MyAnnotation(6) Resource. Check out this SO answer for more. As in that answer, you could loop through your possible annotation values and bind each one individually, if you feel like it.
If #MyAnnotation isn't a binding annotation, you won't be able to access it at all from your provider. As mentioned in this SO answer, it is a rejected feature to add injection-site information to the provider or dependency itself.
Your best bet is to create an #Assisted injection (or manual factory) to accept the parameter:
class MyConsumer {
final Resource resource;
#Inject MyConsumer(Resource.Factory resourceFactory) {
int previouslyAnnotatedValue = 5;
this.resource = resourceFactory.createWithValue(previouslyAnnotatedValue);
}
}
You may also consider using Custom Injections, which will let you use an arbitrary annotation other than #Inject, which may use runtime annotation values however you'd like.
Here is an example in Scala (I like using Scala for prototyping, it's Java in a different dress after all) which I came up with after wondering about it myself in Dynamic Google Juice injection depending on value of an annotation
import java.lang.reflect.{Constructor, Parameter}
import java.util.concurrent.atomic.AtomicReference
import javax.inject.{Inject, Named, Provider}
import com.google.inject.matcher.Matchers
import com.google.inject.spi.ProvisionListener.ProvisionInvocation
import com.google.inject.{AbstractModule, Binder, Guice}
import com.google.inject.spi.{DependencyAndSource, ProviderInstanceBinding, ProvisionListener}
import com.typesafe.config.ConfigFactory
import net.codingwell.scalaguice.InjectorExtensions._
import net.codingwell.scalaguice.ScalaModule
import scala.collection.JavaConverters._
object GuiceExperiments extends App {
val injector = Guice.createInjector(new MyModule())
val some = injector.instance[Some]
println(some)
some.go()
}
trait Some {
def go(): Unit
}
class Impl #Inject()(
#Named("a.a.a") hello: String,
#Named("a.a.b") bello: String,
#Named("a.b.a") kello: String
) extends Some {
override def go() = {
println(hello)
println(bello)
println(kello)
}
}
abstract class DynamicProvider[T >: Null](binder: Binder) extends Provider[T] {
private[this] val nextValue = new AtomicReference[T]
binder.bindListener(Matchers.any(), new ProvisionListener {
private[this] def tryProvide(target: DependencyAndSource): Unit = {
val dependency = target.getDependency
val injectionPoint = dependency.getInjectionPoint
val parameterIndex = dependency.getParameterIndex
injectionPoint.getMember match {
case constructor: Constructor[_] =>
val parameter = constructor.getParameters()(parameterIndex)
nextValue.set(getFor(parameter))
}
}
override def onProvision[V](provision: ProvisionInvocation[V]): Unit = {
provision.getBinding match {
case binding: ProviderInstanceBinding[_] if binding.getUserSuppliedProvider eq DynamicProvider.this =>
provision.getDependencyChain.asScala.lastOption.foreach(tryProvide)
case _ => ()
}
}
})
final override def get(): T = nextValue.getAndSet(null)
def getFor(parameter: Parameter): T
}
class MyModule extends AbstractModule with ScalaModule {
override def configure(): Unit = {
bind[Some].to[Impl]
bind[String].annotatedWith[Named].toProvider(new DynamicProvider[String](binder) {
override def getFor(parameter: Parameter): String = {
if (parameter.isAnnotationPresent(classOf[Named])) {
parameter.getAnnotation(classOf[Named]).value()
} else {
null
}
}
})
}
}
this only inserts the value of the #Named, but looks like it pretty damn works. so much for not possible.

Replace field values of a nested object dynamically

I am trying to write integration test for my scala application(with akka-http). I am running into a problem, for which I am not able to find a solution.
My Case classes are as below:
case class Employee(id:Long, name:String, departmentId:Long, createdDate:Timestamp) extends BaseEntity
case class EmployeeContainer(employee:Employee, department:Department) extends BaseEntity
I have a method like this
trait BaseTrait[E<:BaseEntity, C <: BaseEntity]{
def getById(id:Long): Future[List[C]] = {
//query from db and return result.
}
def save(obj:E) = {
//set the createDate field to the current timestamp
//insert into database
}
}
I can extend my class with BaseTrait and just override the getById() method. Rest of the layers are provided by our internal framework.
class MyDao extends BaseTrait[Employee, EmployeeContainer] {
override def getById(id:Long) = {
for {
val emp <- getFromDb(id)
val dept <- DeptDao.getFromDb(emp.departmentId)
val container = EmployeeContainer(emp,dept)
} yield(container)
}
}
So in the rest layer, I will be getting the response as the EmployeeContainer. The problem now I am facing is that, the modified date is automaticaally updated with the current timestamp. So, when I get back the result, the timestamp in the object I passed to save() method will be overwritten with the current time. When I write the test case, I need to have an object to compare to. But the timestamp of that object and the one I get abck will never be the same.
Is there anyway, in which I can replace all the occurrance of createDate with a known value of timestamp so that I can compare it in my testcase? The main problem is that I can not predict the structure of the container (it can have multiple case classes(nested or flat) with or without createDate fields).
I was able to replace the field using reflection if it comes in the main case class, but unable to do for nested structures.
You probably need to use some for of Inversion of Control. Your main problem is that you are calling the db directly: val emp <- getFromDb(id) and thus have no control on a test of the values that are received. Calling the DB on a unit test is also arguably a bad idea, since it expands the unit to the entire database layer. You want to test a small, self-contained unit.
A simple solution is to encapsulate your DB calls as an interface and pass an instance of that interface. For instance:
class MyDao extends BaseTrait[Employee, EmployeeContainer](val dbCall: Long => Employee) {
override def getById(id:Long) = {
for {
val emp <- dbCall(id)
val dept <- DeptDao.getFromDb(emp.departmentId)
val container = EmployeeContainer(emp,dept)
} yield(container)
}
}
Then you can simply use new MyDao(getFromDb) for normal code and val testDao = new MyDao(id => Employee(id, myFixedName, myFixedDeptID, myFixedTestDate)) from test code.

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