How provide variants with Daggers in a multi-module project? [duplicate] - java

I have a BIG Android app that needs to run different code for depending on the OS version, the manufacturer, and many other things. This app however needs to be a single APK. It needs to be smart enough at runtime to determine which code to use. Until now we have been using Guice but performance issues are causing us to consider migrating to Dagger. However, I've been unable to determine if we can achieve the same use case.
The main goal is for us have some code that runs at startup to provide a list of compatible Modules. Then pass that this list to Dagger to wire everything up.
Here is some pseudocode of the current implementation in Guice we want to migrate
import com.google.inject.AbstractModule;
#Feature("Wifi")
public class WifiDefaultModule extends AbstractModule {
#Override
protected void configure() {
bind(WifiManager.class).to(WifiDefaultManager.class);
bind(WifiProcessor.class).to(WifiDefaultProcessor.class);
}
}
#Feature("Wifi")
#CompatibleWithMinOS(OS > 4.4)
class Wifi44Module extends WifiDefaultModule {
#Override
protected void configure() {
bind(WifiManager.class).to(Wifi44Manager.class);
bindProcessor();
}
#Override
protected void bindProcessor() {
(WifiProcessor.class).to(Wifi44Processor.class);
}
}
#Feature("Wifi")
#CompatibleWithMinOS(OS > 4.4)
#CompatibleWithManufacturer("samsung")
class WifiSamsung44Module extends Wifi44Module {
#Override
protected void bindProcessor() {
bind(WifiProcessor.class).to(SamsungWifiProcessor.class);
}
#Feature("NFC")
public class NfcDefaultModule extends AbstractModule {
#Override
protected void configure() {
bind(NfcManager.class).to(NfcDefaultManager.class);
}
}
#Feature("NFC")
#CompatibleWithMinOS(OS > 6.0)
class Nfc60Module extends NfcDefaultModule {
#Override
protected void configure() {
bind(NfcManager.class).to(Nfc60Manager.class);
}
}
public interface WifiManager {
//bunch of methods to implement
}
public interface WifiProcessor {
//bunch of methods to implement
}
public interface NfcManager {
//bunch of methods to implement
}
public class SuperModule extends AbstractModule {
private final List<Module> chosenModules = new ArrayList<Module>();
public void addModules(List<Module> features) {
chosenModules.addAll(features);
}
#Override
protected void configure() {
for (Module feature: chosenModules) {
feature.configure(binder())
}
}
}
so at startup the app does this:
SuperModule superModule = new SuperModule();
superModule.addModules(crazyBusinessLogic());
Injector injector = Guice.createInjector(Stage.PRODUCTION, superModule);
where crazyBusinessLogic() reads the annotations of all the modules and determines a single one to use for each feature based on device properties. For example:
a Samsung device with OS = 5.0 will have crazyBusinessLogic() return the list { new WifiSamsung44Module(), new NfcDefaultModule() }
a Samsung device with OS = 7.0 will have crazyBusinessLogic() return the list { new WifiSamsung44Module(), new Nfc60Module() }
a Nexus device with OS = 7.0 will have crazyBusinessLogic() return the list { new Wifi44Module(), new Nfc60Module() }
and so on....
Is there any way to do the same with Dagger? Dagger seems to require you to pass the list of modules in the Component annotation.
I read a blog that seems to work on a small demo, but it seems clunky and the extra if statement and extra interfaces for components might cause my code to balloon.
https://blog.davidmedenjak.com/android/2017/04/28/dagger-providing-different-implementations.html
Is there any way to just use a list of modules returned from a function like we are doing in Guice? If not, what would be the closest way that would minimize rewriting the annotations and the crazyBusinessLogic() method?

Dagger generates code at compile-time, so you are not going to have as much module flexibility as you did in Guice; instead of Guice being able to reflectively discover #Provides methods and run a reflective configure() method, Dagger is going to need to know how to create every implementation it may need at runtime, and it's going to need to know that at compile time. Consequently, there's no way to pass an arbitrary array of Modules and have Dagger correctly wire your graph; it defeats the compile-time checking and performance that Dagger was written to provide.
That said, you seem to be okay with a single APK containing all possible implementations, so the only matter is selecting between them at runtime. This is very possible in Dagger, and will probably fall into one of four solutions: David's component-dependencies-based solution, Module subclasses, stateful module instances, or #BindsInstance-based redirection.
Component dependencies
As in David's blog you linked, you can define an interface with a set of bindings that you need to pass in, and then supply those bindings through an implementation of that interface passed into the builder. Though the structure of the interface makes this well-designed to pass Dagger #Component implementations into other Dagger #Component implementations, the interface may be implemented by anything.
However, I'm not sure this solution suits you well: This structure is also best for inheriting freestanding implementations, rather than in your case where your various WifiManager implementations all have dependencies that your graph needs to satisfy. You might be drawn to this type of solution if you need to support a "plugin" architecture, or if your Dagger graph is so huge that a single graph shouldn't contain all of the classes in your app, but unless you have those constraints you may find this solution verbose and restrictive.
Module subclasses
Dagger allows for non-final modules, and allows for the passing of instances into modules, so you can simulate the approach you have by passing subclasses of your modules into the Builder of your Component. Because the ability to substitute/override implementations is frequently associated with testing, this is described on the Dagger 2 Testing page under the heading "Option 1: Override bindings by subclassing modules (don’t do this!)"—it clearly describes the caveats of this approach, notably that the virtual method call will be slower than a static #Provides method, and that any overridden #Provides methods will necessarily need to take all parameters that any implementation uses.
// Your base Module
#Module public class WifiModule {
#Provides WifiManager provideWifiManager(Dep1 dep1, Dep2 dep2) {
/* abstract would be better, but abstract methods usually power
* #Binds, #BindsOptionalOf, and other declarative methods, so
* Dagger doesn't allow abstract #Provides methods. */
throw new UnsupportedOperationException();
}
}
// Your Samsung Wifi module
#Module public class SamsungWifiModule {
#Override WifiManager provideWifiManager(Dep1 dep1, Dep2 dep2) {
return new SamsungWifiManager(dep1); // Dep2 unused
}
}
// Your Huawei Wifi module
#Module public class HuaweiWifiModule {
#Override WifiManager provideWifiManager(Dep1 dep1, Dep2 dep2) {
return new HuaweiWifiManager(dep1, dep2);
}
}
// To create your Component
YourAppComponent component = YourAppComponent.builder()
.baseWifiModule(new SamsungWifiModule()) // or name it anything
// via #Component.Builder
.build();
This works, as you can supply a single Module instance and treat it as an abstract factory pattern, but by calling new unnecessarily, you're not using Dagger to its full potential. Furthermore, the need to maintain a full list of all possible dependencies may make this more trouble than it's worth, especially given that you want all dependencies to ship in the same APK. (This might be a lighter-weight alternative if you need certain kinds of plugin architecture, or you want to avoid shipping an implementation entirely based on compile-time flags or conditions.)
Module instances
The ability to supply a possibly-virtual Module was really meant more for passing module instances with constructor arguments, which you could then use for choosing between implementations.
// Your NFC module
#Module public class NfcModule {
private final boolean useNfc60;
public NfcModule(boolean useNfc60) { this.useNfc60 = useNfc60; }
#Override NfcManager provideNfcManager() {
if (useNfc60) {
return new Nfc60Manager();
}
return new NfcDefaultManager();
}
}
// To create your Component
YourAppComponent component = YourAppComponent.builder()
.nfcModule(new NfcModule(true)) // again, customize with #Component.Builder
.build();
Again, this doesn't use Dagger to its fullest potential; you can do that by manually delegating to the right Provider you want.
// Your NFC module
#Module public class NfcModule {
private final boolean useNfc60;
public NfcModule(boolean useNfc60) { this.useNfc60 = useNfc60; }
#Override NfcManager provideNfcManager(
Provider<Nfc60Manager> nfc60Provider,
Provider<NfcDefaultManager> nfcDefaultProvider) {
if (useNfc60) {
return nfc60Provider.get();
}
return nfcDefaultProvider.get();
}
}
Better! Now you don't create any instances unless you need them, and Nfc60Manager and NfcDefaultManager can take arbitrary parameters that Dagger supplies. This leads to the fourth solution:
Inject the configuration
// Your NFC module
#Module public abstract class NfcModule {
#Provides static NfcManager provideNfcManager(
YourConfiguration yourConfiguration,
Provider<Nfc60Manager> nfc60Provider,
Provider<NfcDefaultManager> nfcDefaultProvider) {
if (yourConfiguration.useNfc60()) {
return nfc60Provider.get();
}
return nfcDefaultProvider.get();
}
}
// To create your Component
YourAppComponent component = YourAppComponent.builder()
// Use #Component.Builder and #BindsInstance to make this easy
.yourConfiguration(getConfigFromBusinessLogic())
.build();
This way you can encapsulate your business logic in your own configuration object, let Dagger provide your required methods, and go back to abstract modules with static #Provides for the best performance. Furthermore, you don't need to use Dagger #Module instances for your API, which hides implementation details and makes it easier to move away from Dagger later if your needs change. For your case, I recommend this solution; it'll take some restructuring, but I think you'll wind up with a clearer structure.
Side note about Guice Module#configure(Binder)
It's not idiomatic to call feature.configure(binder()); please use install(feature); instead. This allows Guice to better describe where errors occur in your code, discover #Provides methods in your Modules, and to de-duplicate your module instances in case a module is installed more than once.

Is there any way to just use a list of modules returned from a
function like we are doing in Guice? If not, what would be the closest
way that would minimize rewriting the annotations and the
crazyBusinessLogic() method?
Not sure this is the answer you're looking for, but just in case you do have other options and for other community members I will describe completely different approach.
I would say that the way you used Guice until now is an abuse of DI framework, and you will be much better off leveraging this opportunity to remove this abuse instead of implementing it in Dagger.
Let me explain.
The main goal of dependency injection architectural pattern is to have construction logic segregated from functional logic.
What you basically want to achieve is standard polymorphism - provide different implementations based on a set of parameters.
If you use Modules and Components for that purpose, you will end up structuring your DI code according to business rules governing the need for these polymorphic implementations.
Not only will this approach requires much more boilerplate, but it also prevents emergence of cohesive Modules that have meaningful structure and provide insights into application's design and architecture.
In addition, I doubt you will be able to unit test these business rules "encoded" inside dependency injection logic.
There are two approaches which are much better IMHO.
First approach is still not very clean, but, at least, it doesn't compromise the large scale structure of dependency injection code:
#Provides
WifiManager wifiManager(DeviceInfoProvider deviceInfoProvider) {
if (deviceInfoProvider.isPostKitKat() ) {
if (deviceInfoProvider.isSamsung()) {
return new WifiMinagerSamsungPostKitKat();
} else {
return new WifiMinagerPostKitKat();
}
} else {
return new WifiMinagerPreKitKat();
}
}
The logic that chooses between implementation still resides in DI code, but, at least, it did not make it into the large scale structure of that part.
But the best solution in this case is to make a proper object oriented design, instead of abusing DI framework.
I'm pretty sure that the source code of all these classes is very similar. They might even inherit from one another while overriding just one single method.
In this case, the right approach is not duplication/inheritance, but composition using Strategy design pattern.
You would extract the "strategy" part into a standalone hierarchy of classes, and define a factory class that constructs them based on system's parameters. Then, you could do it like this:
#Provides
WiFiStrategyFactory wiFiStrategyFactory(DeviceInfoProvider deviceInfoProvider) {
return new WiFiStrategyFactory(deviceInfoProvider);
}
#Provides
WifiManager wifiManager(WiFiStrategyFactory wiFiStrategyFactory) {
return new WifiMinager(WiFiStrategyFactory.newWiFiStrategy());
}
Now construction logic is simple and clear. The differentiation between strategies encapsulated inside WiFiStrategyFactory and can be unit tested.
The best part of this proper approach is that when a new strategy will need to be implemented (because we all know that Android fragmentation is unpredictable), you won't need to implement new Modules and Components, or make any changes to DI structure. This new requirement will be handled by just providing yet another implementation of the strategy and adding the instantiation logic to the factory.
All that while being kept safe with unit tests.

Related

What is a good way of telling low level objects which factories to use?

I've been learning a lot about Design Patterns lately, specifically Dependency Injection. I'm pretty sure that abstract factorys are a good way of instantiating objects that have dependencies. However I'm not sure how to tell lower level objects what factories they are supposed to use.
Consider following simplified example:
I have a class MainProgram (I just made this to represent that there is other code in my program..)
At some point during runtime I want to instantiate a IGeneticAlgorithm with an abstract factory:
public class MainProgram{
private AbstractGeneticAlgorithm geneticAlgorithm;
private IGeneticAlgorithmFactory geneticAlgorithmFactory;
public MainProgram(IGeneticAlgorithmFactory geneticAlgorithmFactory){
this.geneticAlgorithmFactory = geneticAlgorithmFactory;
}
private void makeGeneticAlgorithm(){
geneticAlgorithm = geneticAlgorithmFactory.getInstance();
}
public static void main(String[] args){
MainProgram mainProgramm = new MainProgram(new FastGeneticAlgorithmFactory());
//...
}
}
public interface IGeneticAlgorithmFactory{
public IGeneticAlgorithm getInstance();
}
public class FastGeneticAlgorithmFactory implements IGeneticAlgorithmFactory{
public IGeneticAlgorithm getInstance(){
return new FastGeneticAlgorithm();
}
}
public abstract class AbstractGeneticAlgorithm{
private IIndividual individual;
private IIndividualFactory individualFactory;
private void makeIndividual(){
individual = individualFactory.getInstance();
}
//...
}
At some point during runtime I want to instantiate an IIndividual in my GeneticAlgorithm. The IIndividual can't be instantiated at startup. The need to be able to instantiate the IIndividual during runtime comes from the way Genetic Algorithms work, where basically after each Step of Selection-Recombination-Mutation new Individuals have to be instantiated. (For more information see https://en.wikipedia.org/wiki/Genetic_algorithm). I chose to give the AbstractGeneticAlgorithm here only one IIndividual to keep this example simple.
public class FastGeneticAlgorithm implements AbstractGeneticAlgorithm{
private IIndividual individual;
private IIndividualFactory individualFactory;
}
public interface IIndividualFactory{
public IIndividual getInstance();
}
public class SmallIndividualFactory implements IIndividualFactory{
public IIndividual getInstance(){
return new SmallIndividual();
}
//...
}
public interface IIndividual{
//...
}
public class SmallIndividual implements IIndividual{
//...
}
Making the SmallIndividualFactory a static variable in the FastGeneticAlgorithm doesn't seem to me like good practice. And passing the SmallIndividualFactory to Main, so that Main can pass it down to FastGeneticAlgorithm also doesn't seem right.
My question is how to solve this? Thank you.
When it comes to using Dependency Injection, the Abstract Factory pattern is often over-used. This doesn't mean that it's a bad pattern per se, but in many cases there are more suitable alternatives for the Abstract Factory pattern. This is described in detail in Dependency Injection Principles, Practices, and Patterns (paragraph 6.2) where is described that:
Abstract Factories should not be used to create short-lived, stateful dependencies, since a consumer of a dependency should be oblivious to its lifetime; from perspective of the consumer, there should conceptually be only one instance of a service.
Abstract Factories are often Dependency Inversion Principle (DIP) violations, because their design often doesn't suit the consumer, while the DIP states: "the abstracts are owned by the upper/policy layers", meaning that consumer of the abstraction should dictate its shape and define the abstraction in a way that suits its needs the most. Letting the consumer depend on both a factory dependency and the dependency it produces complicates the consumer.
This means that:
Abstract Factories with a parameterless create method should be prevented, because it implies the dependency is short-lived and its lifetime is controlled by the consumer. Instead, Abstract Factories should be created for dependencies that conceptually require runtime data (provided by the consumer) to be created.
But even in case a factory method contains parameters, care must be taken to make sure that the Abstract Factory is really required. The Proxy pattern is often (but not always) better suited, because it allows the consumer to have a single dependency, instead of depending on both the factory and its product.
Dependency Injection promotes composition of classes in the start-up path of the application, a concept the book refers to as the Composition Root. The Composition Root is a location close to that application's entry point (your Main method) and it knows about every other module in the system.
Because the Composition Root takes a dependency on all other modules in the system, it typically makes little sense consume Abstract Factories within the Composition Root. For instance, in case you defined an IXFactory abstraction to produce IX dependencies, but the Composition Root is the sole consumer of the IXFactory abstraction, you are decoupling something that doesn't require decoupling: The Composition Root intrinsically knows about every other part of the system any way.
This seems to be the case with your IGeneticAlgorithmFactory abstraction. Its sole consumer seems to be your Composition Root. If this is true, this abstraction and its implementation can simply be removed and the code within its getInstance method can simply be moved into the MainProgram class (which functions as your Composition Root).
It's hard for me to understand whether or not your IIndividual implementations require a factory (it has been at least 14 years ago since I implemented a genetic algorithm at the University), but they seem more like runtime data rather than 'real' dependencies. So a factory might make sense here, although do verify whether their creation and implementation must be hidden behind an abstraction. I could imagine the application to be sufficiently loosely coupled when the FastGeneticAlgorithm creates SmallIndividual instances directly. This, however, is just a wild guess.
On top of that, best practice is to apply Constructor Injection. This prevents Temporal Coupling. Furthermore, refrain specifying the implementations dependencies in the defined abstractions, as your AbstractGeneticAlgorithm does. This makes the abstraction a Leaky Abstraction (which is a DIP violation). Instead, declare the dependencies by declaring them as constructor arguments on the implementation (FastGeneticAlgorithm in your case).
But even with the existence of the IIndividualFactory, your code can be simplified by following best practices as follows:
// Use interfaces rather than base classes. Prefer Composition over Inheritance.
public interface IGeneticAlgorithm { ... }
public interface IIndividual { ... }
public interface IIndividualFactory {
public IIndividual getInstance();
}
// Implementations
public class FastGeneticAlgorithm implements IGeneticAlgorithm {
private IIndividualFactory individualFactory;
// Use constructor injection to declare the implementation's dependencies
public FastGeneticAlgorithm(IIndividualFactory individualFactory) {
this.individualFactory = individualFactory;
}
}
public class SmallIndividual implements IIndividual { }
public class SmallIndividualFactory implements IIndividualFactory {
public IIndividual getInstance() {
return new SmallIndividual();
}
}
public static class Program {
public static void main(String[] args){
AbstractGeneticAlgorithm algoritm = CreateAlgorithm();
algoritm.makeIndividual();
}
private AbstractGeneticAlgorithm CreateAlgorithm() {
// Build complete object graph inside the Composition Root
return new FastGeneticAlgorithm(new SmallIndividualFactory());
}
}

How to inject a variable number of similar components that have dependencies themselves?

Background
I want to realize dependency injection in Python using injector (or pinject) which itself heavily borrows from guice. While an answer using Python/injector would be ideal, I'm also very happy about solutions/approaches that feature Java/guice.
Intention
I'll give you a quick summary of what I want to achieve: I have a component that depends on a list/sequence of other components that all implement the same interface. Those components have dependencies themselves which may vary amongst the different implementations. The concrete types (implementations) shall be configurable by the user (or using any mechanism of the DI framework).
Example
Yes, I've read Modules should be fast and side-effect free which suggests not to use an XML file for configuration, however as I don't know how to realize this within the framework I'll use one to demonstrate the dependency structure:
<RentingAgency>
<Vehicles>
<Car>
<DieselEngine></DieselEngine>
</Car>
<Car>
<PetrolEngine></PetrolEngine>
</Car>
<Bike></Bike>
</Vehicles>
</RentingAgency>
In this example there is a renting agency (the component that depends on a list of others) that rents out all kinds of vehicles (the interface). The specific vehicles in their fleet (in this case two cars and one bike) should be configurable but fixed during runtime. The vehicles themselves can have dependencies and they can be different depending on the type of vehicle (a car depends on a motor, a bike has no dependencies in this case).
Question
How can I construct the renting agency within the DI framework so that all required vehicles are injected and their dependencies resolved properly?
Maybe helpful
Multibinder
I've read about Multibinder (injector seems to have something similar with Binder.multibind) which allows for injecting a collection of objects that implement the same interface. However:
Can it be used to create multiple instances of the same class that need to receive different dependencies (the two cars (Class Car) in the example have different motors: Interface Motor, Class DieselEngine, class PetrolEngine)?
Using providers to accomplish that task seems to me like giving up the benefits of dependency injection: I could manually create the Car instances in the provider, passing the required Motor as argument, however because this pattern repeats further down the chain (i.e. multiple Motors of the same type are used and they also have dependencies) I want to use dependency injection for generating those objects too. But to manually use them in the provider it seems to me like I have to obtain the instances directly from the injector. The docs mention that injecting the injector is a rare case and from my understanding of dependency injection, the great benefit is that one can request a component and all dependencies are resolved by the framework automatically.
Also because I actually use Python I'm not sure if this approach is appropriate (as Python is quite flexible when it comes to dynamic code generation). Also injector.Injector.get.__doc__ mentions
Although this method is part of :class:Injector's public interface
it's meant to be used in limited set of circumstances.
For example, to create some kind of root object (application object)
of your application (note that only one get call is needed,
inside the Application class and any of its dependencies
:func:inject can and should be used):
Dependency injection frameworks are primarily for dependencies and because your Vehicles object is configured by the user at runtime it is more like application data than a dependency. It probably can't just be injected in one shot using MultiBinding unless you know it at compile time.
Likewise, you are right in saying that it would not be a good approach to construct your set of components by iterating and calling injector.getInstance(Bike.class) etc. For one, this is not good for testing.
However, because the objects contained in Vehicles have their own dependencies you can leverage the DI framework in the creation of your Vehicles object. Remember, also, that although you cannot bind a Provider to an implementation, when you bind a key Guice will inject that provider for you.
For the simple example in the post, consider creating a VehicleFactory. Inside, you could have something like the following:
public class VehicleModule implements Module {
#Override
public void configure(Binder binder) {
binder.bind(DieselEngine.class).toProvider(DieselEngineProvider.class);
binder.bind(PetrolEngine.class).toProvider(PetrolEngineProvider.class);
binder.bind(Bike.class).toProvider(BikeProvider.class);
}
}
public class DieselEngineProvider implements Provider<DieselEngine> {
#Inject
public DieselEngineProvider() {
//if DieselEngine has any dependencies, they can be injected in the constructor
//stored in a field in the class and used in the below get() method
}
#Override
public DieselEngine get() {
return new DieselEngine();
}
}
public class VehicleFactory {
private final CarFactory carFactory;
private final Provider<Bike> bikeProvider;
#Inject
public VehicleFactory(CarFactory carFactory, Provider<Bike> bikeProvider) {
this.carFactory = carFactory;
this.bikeProvider = bikeProvider;
}
public Bike createBike() {
return bikeProvider.get();
}
public Car createDieselCar() {
return carFactory.createDieselCar();
}
public Car createPetrolCar() {
return carFactory.createPetrolCar();
}
}
public class CarFactory {
private final Provider<DieselEngine> dieselEngineProvider;
private final Provider<PetrolEngine> petrolEngineProvider;
#Inject
public CarFactory(Provider<DieselEngine> dieselEngineProvider, Provider<PetrolEngine> petrolEngineProvider) {
this.dieselEngineProvider = dieselEngineProvider;
this.petrolEngineProvider = petrolEngineProvider;
}
public Car createDieselCar() {
return new Car(dieselEngineProvider.get());
}
public Car createPetrolCar() {
return new Car(petrolEngineProvider.get());
}
}
As you mention, there is the danger of this becoming 'factories all the way down', but Guice can help you here.
If the production of Engine becomes more complicated and involves a combination of different parameters, you can use tools like AssistedInject to auto-create the factories for you.
If you end up with a set of common dependencies and uncommon dependencies that you want to use to create different 'flavours' of an object then you have what is known as the robot legs problem then Guice can solve it using private modules.
Do note the following caveat from the Dagger 2 user guide:
Note: Injecting Provider has the possibility of creating confusing
code, and may be a design smell of mis-scoped or mis-structured
objects in your graph. Often you will want to use a factory or a
Lazy or re-organize the lifetimes and structure of your code to be
able to just inject a T.
If you follow this advice, it would seem that you would have to carefully balance using providers and using factories to create your Vehicle.

How to auto install all implementations of an interface with guice?

I have the following interface:
public interface IFilterFactory<T extends IFilter> {
T create(IFilterConfig config);
}
And multiple implementations of it:
public class AndFilter implements IFilter {
public interface IAndFilterFactory extends IFilterFactory<AndFilter> {}
// ...
}
public class OrFilter implements IFilter {
public interface IOrFilterFactory extends IFilterFactory<OrFilter> {}
// ...
}
in my Guice module, I'm currently installing each module I add this way:
install(new FactoryModuleBuilder().build(IAndFilterFactory.class));
install(new FactoryModuleBuilder().build(IOrFilterFactory.class));
The And and Or filters are just examples but I have many more, some of them requiring specific objects to be injected, thus the factories.
Is there a way with Guice to just say "install all implementations of IFilterFactory" without having to use reflection myself ?
There's nothing for classpath scanning built-in, and despite a lot of existing library options, there's reason to believe that a perfect solution simply can't exist for Java. In any case, enumerating all available classes is known to be slow even in heavily-used libraries, and such a solution would scale with the number of classes in your application, not the number of filters you use.
(To be clear, you're not quite even asking to "install all implementations of IFilterFactory", you're asking "create and install a module with FactoryModuleBuilder for all implementations of IFilterFactory". The factory interface implementation doesn't exist until you generate it with FactoryModuleBuilder.)
You can, however, extract everything aside from the class name itself, so you only have one easy-to-maintain list of classes to bind:
List<Class<?>> filterFactories = ImmutableList.<Class<?>>of(
IAndFilterFactory.class,
IOrFilterFactory.class,
IXorFilterFactory.class,
HelpIAmTrappedInAFilterFactory.class
);
for (Class<?> clazz : filterFactories) {
install(new FactoryModuleBuilder().build(clazz));
}

How can I override a method of an anonymous generic class?

I am working on GWT project with JDK7. It has two entryPoints (two clients) that are located in separate packages of the project. Clients share some code that is located in /common package, which is universal and accessible to both by having the following line in their respective xml-build files:
<source path='ui/common' />
Both clients have their own specific implementations of the Callback class which serves their running environments and performs various actions in case of failure or success. I have the following abstract class that implements AsyncCallback interface and then gets extended by its respective client.
public abstract class AbstractCallback<T> implements AsyncCallback<T> {
public void handleSuccess( T result ) {}
...
}
Here are the client's classes:
public class Client1Callback<T> extends AbstractCallback<T> {...}
and
public class Client2Callback<T> extends AbstractCallback<T> {...}
In the common package, that also contains these callback classes, I am working on implementing the service layer that serves both clients. Clients use the same back-end services, just handle the results differently. Based on the type of the client I want to build a corresponding instance of AbstractCallback child without duplicating anonymous class creation for each call. I am going to have many declarations that will look like the following:
AsyncCallback<MyVO> nextCallback = isClient1 ?
new Client1Callback<MyVO>("ABC") {
public void handleSuccess(MyVO result) {
doThatSameAction(result);
}
}
:
new Client2Callback<MyVO>("DEF") {
public void handleSuccess(MyVO result) {
doThatSameAction(result);
}
};
That will result in a very verbose code.
The intent (in pseudo-code) is to have the below instead:
AsyncCallback<MyVO> nextCallback = new CallbackTypeResolver.ACallback<MyVO>(clientType, "ABC"){
public void handleSuccess(MyVO result) {
doThatSameAction(result);
}
};
I was playing with the factory pattern to get the right child instance, but quickly realized that I am not able to override handleSuccess() method after the instance is created.
I think the solution may come from one of the two sources:
Different GWT way of dealing with custom Callback implementations, lets call it alternative existent solution.
Java generics/types juggling magic
I can miss something obvious, and would appreciate any advice.
I've read some articles here and on Oracle about types erasure for generics, so I understand that my question may have no direct answer.
Refactor out the handleSuccess behavior into its own class.
The handleSuccess behavior is a separate concern from what else is going on in the AsyncCallback classes; therefore, separate it out into a more useful form. See Why should I prefer composition over inheritance?
Essentially, by doing this refactoring, you are transforming an overridden method into injected behavior that you have more control over. Specifically, you would have instead:
public interface SuccessHandler<T> {
public void handleSuccess(T result);
}
Your callback would look something like this:
public abstract class AbstractCallback<T> implements AsyncCallback<T> {
private final SuccessHandler<T> handler; // Inject this in the constructor
// etc.
// not abstract anymore
public void handleSuccess( T result ) {
handler.handleSuccess(result);
}
}
Then your pseudocode callback creation statement would be something like:
AsyncCallback<MyVO> nextCallback = new CallbackTypeResolver.ACallback<MyVO>(
clientType,
"ABC",
new SuccessHandler<MyVO>() {
public void handleSuccess(MyVO result) {
doThatSameMethod(result);
}
});
The implementations of SuccessHandler don't have to be anonymous, they can be top level classes or even inner classes based on your needs. There's a lot more power you can do once you're using this injection based framework, including creating these handlers with automatically injected dependencies using Gin and Guice Providers. (Gin is a project that integrates Guice, a dependency injection framework, with GWT).

Guice: injection vs wiring

Lot's of times, classes need to be instantiated (constructed), and then "wired" (configured) before they can be used. For instance:
// Construction.
EventBus bus = new EventBus();
FizzEventHandler fizzHandler = new FizzHandler();
BuzzEventHandler buzzHandler = new BuzzHandler();
// Wiring.
bus.register(fizzHandler);
bus.register(buzzHandler);
In Guice, we accomplish the first part (construction; injection) with a Binder:
public class MyModule extends AbstractModule {
#Override
public void configure() {
bind(EventBus.class).to(SimpleEventBus.class);
bind(FizzEventHandler.class).to(DefaultFizzEventHandler.class);
bind(BuzzEventHandler.class).to(DefaultBuzzEventHandler.class);
}
}
But where does the wiring take place? When my Guice-based app starts up, we engage the DI "bootstrapping" process:
public class MyApp {
private EventBus bus;
private FizzEventHandler fizzHandler;
// ...etc.
public static void main(String[] args) {
MyApp app = new MyApp();
app.run();
}
public MyApp() {
// Bootstrap DI.
MyModule myModule = new MyModule();
Injector injector = Guice.createInjector(myModule);
bus = injector.inject(EventBus.class);
fizzHandler = injector.inject(FizzEventHandler.class);
// ...etc.
// Wire
bus.register(fizzHandler);
}
}
This works OK for the top-level (root) DI classes. But as we get further "down" the dependency tree, and get into all the other objects used by the application, putting the wiring logic in constructors like this is ugly and (I believe) is a discouraged practice.
So I ask: where doe battle-weary Guice veterans place their wiring/config code?
I work on a reasonably big system (~3000 classes) which uses Guice. I would say that our approach is to do everything with constructors. There aren't distinct "construction" and "wiring" activities as you describe, there's only construction.
In your example, the event handlers would be constructor parameters to the bus, which would register them in its constructor.
If you want to have fairly flexible injection of all the components of a given type (here, you would want to inject all event listeners into the bus), you could use multibindings. However, i don't think we actually use this in our codebase; we just write out manual lists of everything that needs injecting, which turns out not to be all that arduous in practice.
I generally use multiple modules, separated out by logical function. So one module might have authentication in it, another has data repositories, another the messaging system that I'm using, etc. This allows you to have different modules for mocking, caching Vs. non-caching, or just different implementations of the same service, and to switch out chunks of dependencies quickly and easily.
To make things even more flexible you could have a configuration file which declares the modules that should be used when the injector starts up.
When I have some logic to be done right after I instantiate my object I usually do it in methods annotated with #Provides. Your example might looks like this :
public class MyModule extends AbstractModule {
#Override
protected void configure() {
bind(FizzEventHandler.class).to(DefaultFizzEventHandler.class);
bind(BuzzEventHandler.class).to(DefaultBuzzEventHandler.class);
}
#Provides
public EventBus getEventBus(SimpleEventBuss simpleBus/* this here is going to be injected as it is a class not an interface and Guice is clever and it know how to do it ;) */
, FizzEventHandler fizz, BuzzEventHandler buzz) {
simpleBus.register(fizz);
simpleBus.register(buzz);
return simpleBus;
}
}

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