airframe-di: Dependency Injection

Airframe DI is a new dependency injection library designed for Scala. Dependency injection (Wikipedia) is a design pattern for simplifying object instantiation; Instead of manually passing all necessary objects (dependencies) into the constructor argument, DI framework builds the object on your behalf.

Airframe DI introduces three concepts to your Scala programming:

Bind for injecting necessary objects to your service through constructor arguments or bind[X] syntax.
Design: for customizing the actual application implementation to use at runtime.
Session: for managing singleton instances and properly initialize and terminate injected service objects with lifecycle management hooks (e.g., onStart, onShutdown, or def close() method in AutoCloseable interface).

One of the advantages of Airframe DI is that it enables isolating application logic and service design. This abstraction addresses the common patterns in writing applications, such as:

Switching the implementation between production and test/debug code.
Minimizing the service implementation for the ease of testing.
Configuring applications using config objects.
Managing resources like database/network connections, threads, etc. .
Managing differently configured singletons.
etc., ...

Airframe is available for Scala 2.12, 2.13, and Scala.js. Airframe also supports JDK11.

In Scala, we have various approaches for dependency injection, such as cake pattern, Google Guice, Macwire, reader monad, etc. For more detailed comparison, see the following article:

DI Framework Comparison: Comparing Airframe with Google Guice, Macwire, Dagger2, etc.

Quick Start

To use Airframe DI, add the following dependency to your build.sbt:

libraryDependencies += "org.wvlet.airframe" %% "airframe" % "(version)"

And import wvlet.airframe._ in your Scala code:

import wvlet.airframe._

.scalafmt.conf

If you are using scalafmt for code formatting, add the following option to your .scalafmt.conf:

optIn.breaksInsideChains = true

This option allows writing each binding in a single line:

val d = newDesign
  .bind[X].toInstance(...)
  .bind[Y].to[YImpl]

Basic Usage

First, bind objects to your code with bind[X]:

import wvlet.airframe._

trait App {
  val x = bind[X]
  val y = bind[Y]
  val z = bind[Z]
  // Do something with x, y, and z
}

Next, design the object bindings:

val design: Design =
  newDesign
    .bind[X].toInstance(new X)  // Bind type X to a concrete instance
    .bind[Y].toSingleton        // Bind type Y to a singleton object
    .bind[Z].to[ZImpl]          // Bind type Z to a singleton of ZImpl instance

Then build an instance and use it:

design.build[App]{ app =>
  // Do something with App
}

Airframe builds an instance of App based on the binding rules specified in the design object. That means when writing applications, you only need to care about how to use objects (bind), rather than how to build them, because design objects already knows how to provide necessary objects to build your classes.

This separation of object bindings and their design (assembly) will reduce duplications between production and test codes. For example, compare writing new App(new X, new Y(...), new Z(...), ...) in both of your main and test codes, and just calling design.build[App].

Airframe integrates the flexibility of Scala traits and dependency injection (DI). Mixing traits is far easier than calling object constructors. This is because traits can be combined in an arbitrary order. So you no longer need to remember the order of the constructor arguments.

Bind

In Airframe, you can use two types of dependency injections: constructor injection or in-trait injection:

Constructor Injection

Constructor injection is the most natural form of injection. When design.build[A] is called, Airframe will find the primary constructor of A and its arguments, then creates a new instance of A by looking up instances for the constructor arguments defined in the Design.

import wvlet.airframe._

case class AppConfig(appName:String)
class MyApp(val config:AppConfig)

// Define a design
val d = newDesign
  .bind[AppConfig].toInstance(AppConfig("Hello Airframe!"))

// Create MyApp. AppConfig instance defined in the design will be used.
// d.build[MyApp] will call new MyApp(AppConfig("Hello Airframe!")) to build a MyApp instance
d.build[MyApp]{ app: MyApp =>
  // Do something with app
  ...
}
// Session will be closed here

In-Trait Injection

If you need to bind dependencies within Scala traits, use in-trait injection with bind[X] syntax:

import wvlet.airframe._

case class AppConfig(appName:String)

trait MyApp {
  // In-trait injection
  val config = bind[AppConfig]
}

val d = newDesign
  .bind[AppConfig].toInstance(AppConfig("Hello Airframe!"))

// Creates a new MyApp
d.build[MyApp] { app: MyApp =>
   // Do something with app
}
// Session will be closed here

Note that bind[X] syntax works only inside Scala traits or classes that implement wvlet.airframe.DISupport trait:

import wvlet.airframe._

// [DON'T DO THIS] You can't use bind[X] inside classes:
class A {
  val a = bind[B] // [Error] class A can't find the current session
}

// To use bind[X] inside classes, extends wvlet.airframe.DISupport
class A(val session:Session) extends DISupport {
  val a = bind[B] // OK
}

If you used the bind[X] syntax inside a class, MISSING_SESSION error will be thrown.

Binding Types

Airframe DI supports three types of in-trait bindings: bind[X], bindLocal{...}, and bindFactory.

bind[X] will inject a singleton instance of X by default. Design object will determine how to prepare an instance of X.
bindLocal{ new X(...) } will inject a new instance of X using the given code block. Use bindLocal only when you need to locally define object initializtiaon code. This is a good practice for ensuring RIIA (Resource Initialization Is Acquisition) by writing the resource initialization code to the closest place where the resource will be used.
- bindLocal will override bindings for X defiened in Design in favor of the local initialization code block.
- If you need to build an instance of X based on the other dependencies, use a provider fucntion like bindLocal{ (d1:D1, d2:D2, ...) => new X(d1, d2, ...)}. Dependenies of D1, D2, ... will be injected from the design.
bindFactory[D1=>X] will create a factory method to generate X from a given instance of D1. This is used for partially overriding the design (e.g., D1) for building X.

The lifecycle (including calling onInject, onStart, onShutdown hooks) of the injected instances will be managed by the session of Airframe. To properly release the resources injected by bindings, define these lifecycle hooks in the design or implement AutoCloseable interface. If the injected instance implements AutoCloseable, def close(): Unit method of AutoCloseable will be called when the session terminates. See also Design and Life Cycle sections for more details.

Here are several examples of in-trait binding types:

import BindingExample._

// Basic binding
val a = bind[A]          // Inject A as a singleton

// Default constructor binding
val pc: P = bind[P] // Inject a singleton of P(D1, D2, D3)
                    // This will also inject D1, D2 and D3 to P.

// Local binding for creating a new instance using the given code block
val l1: P = bindLocal{ new P() }
val l2: P = bindLocal{ d1:D1 => new P(d1) }

// Factory bindings for partially overriding dependencies
val f1: D1 => P = bindFactory[D1 => P] // A factory to use a given D1 to generate P
val f2: (D1, D2) => P = bindFactory2[(D1, D2) => P] // A factory to use given D1 and D2
...

object BindingExample {
  case class P(d1:D1 = D1(), d2:D2 = D2(), d3:D3 = D3())
  def provider(d1:D1, d2:D2, d3:D3) : P = P(d1, d2, d3)
}

By default all injections generates singleton objects that are alive until closing the current session. These singleton objects are managed inside the current session object.

Design

To configure bindings described in the above, we need to define a Design object using the following syntax:

import wvlet.airframe._

// If you define multiple bindings to the same type, the last one will be used.
val design: Design =
  newDesign                      // Create an empty design
  .bind[A].to[AImpl]             // Bind a class AImpl to A (Singleton)
  .bind[A].toInstanceOf[AImpl]   // Bind a class AImpl to A (Create a new instance each time)
  .bind[B].toInstance(new B(1))  // Bind a concrete instance to B (This instance will be a singleton)
  .bind[S].toSingleton           // S will be a singleton within the session
  .bind[ES].toEagerSingleton     // ES will be initialized as a singleton at session start time
  .bind[D1].toInstance(D1(1))    // Bind D1 to a concrete instance D1(1)
  .bind[D2].toInstance(D2(2))    // Bind D2 to a concrete instance D2(2)
  .bind[D3].toInstance(D3(3))    // Bind D3 to a concrete instance D3(3)
  .bind[P].toProvider{ d1:D1 => P(d1) } // Create a singleton P by resolving D1 from the design
  .bind[P].toProvider{ (d1:D1, d2:D2) => P(d1, d2) }  // Resolve D1 and D2
  .bind[P].toProvider{ provider _ }                   // Use the given function as a provider
  .bind[P].toInstanceProvider{ d1:D1 => P(d1) }       // Create a new instance using the provider function
  .bind[P].toEagerSingletonProvider{ d1:D1 => P(d1) } // Create an eager singleton using the provider function

If you define multiple bindings to the same type (e.g., P), the last binding will be used.

Singleton Bindings

If you only need singletons (e.g.,X) and how to construct X is clear from its definition, no need exists to specify bind[X].toSingleton in your design:

import wvlet.airframe._

trait X {
  val y = bind[Y]
}
trait Y {
  val z = bind[Z]
}
case class Z(port:Int)

val design: Design =
  newDesign
    // Binding X and Y toSingleton is unnecessary as singleton binding is the default behavior.
    //.bind[X].toSingleton
    //.bind[Y].toSingleton
    .bind[Z].toInstance(port = 8080)  // Z has no default instance, so we should bind it manually.

Design is Immutable

Design objects are immutable, so you can safely override bindings without modifying the original design:

import wvlet.airframe._

val design: Design =
  newDesign.bind[A].to[B] // bind A to B

val newDesign: Design =
  design.bind[A].to[C] // Override binding for A

design.build[A] { x => ... } // -> x will be B
newDesign.build[A] { x => ... } // -> x will be C

Design supports + (add) operator to combine multiple designs at ease:

val newDesign = d1 + d2 // d2 will override the bindings in d1

// or use Design.add(Design) 
d1.add(d2)

+ (add) operator is not commutative because of this override behavior, so d1 + d2 and d2 + d1 will be different designs if there are some overlaps.

Session

To create instances, you need to create a Session from your Design:

val session = design.newSession
val a = session.build[A] {
  // Do something with a
}

If you need a typed-return value, you can use design.run[A, B](f: A=>B):

val ret: Int = design.run { a: A =>
  // Do something with a and return a value
  1
}

This will build an instance of A from the design, and return the result.

Session manages the life cycle of your objects and holds instances of singletons. These instances can be discarded after session.shutdown is called:

// Start a session
val session = design.newSession
try {
  session.start
  val p = session.build[P]
  // do something with P
}
finally {
   session.shutdown
}

To simplify this session management, you can use Design.build[A] to start and shutdown a session automatically:

design.build[P]{ p:P => // session.start will be called, and a new instance of P will be created
  // do something with P
}
// session.shutdown will be called here

This pattern is useful since you usually need a single entry point for starting an application.

Child Sessions

If you need to override a part of the design in a short term, you can use child sessions. Child sessions are useful for managing request-scoped sessions (e.g., HTTP requests, database query contexts, etc.).

Usage Example

import wvlet.airframe._

trait MyServer {
  private val session = bind[Session]   // Bind the current session

  def handleInChildSession = {
    // Define a child session specific design
    val childDesign =
      newDesign
        .bind[X].toSingleton

    // Creates a new child session
    session.withChildSession(childDesign) { childSession =>
      val x = childSession.build[X]
      ...
    }
  }
}

// Creates a parent session
newDesign.build[MyServer] { server =>
   // Creates a short-lifecycle child session
   server.handleInChildSession
}

When building an object X in a child session, it will follow these rules:

If X is defined in the child design, the child session will be used for X.
If X is not defined in the child design, Airframe tries to find a design for X in the parent (or an ancestor) session (owner session).
If X involves internal objects that are defined in a parent (e.g., P1) or an ancestor (e.g., A1), their owner sessions will be used for instantiating P1 and A1.
Lifecycle hooks for X will be registered to the owner sessions of the target objects. For example, if X is already started (onStart is called) in the parent session (= owner session), this hook will not be called again in the child session.

Finding The Current Session

You may need to find the current session to manage lifecycles of manually created instances. In this case, you can bind Airframe's Session with bind[Session] and register newly created instances to the session:

import wvlet.airframe._

class MyDB(name:String) {
  private val conn = newConnection(name)
    .onShutdown{ x => x.close() }
}

trait MyApp {
  private val session = bind[Session]

  def openDB(name:String): MyDB = {
    val db = new MyDB(name)
     // Adding MyDB instance to the current session so that
     // MyDB connection can be closed when the session terminates.
    session.register(db)
    db
  }
}

Life Cycle

Update since version 19.9.0: If objects injected by DI implements def close(): Unit function of java.lang.AutoCloseable interface, airframe will call the close method upon the session shutdown. To override this behavior, define your own onShutdown hook or use @PreDestory annotation.

Server side application often requires resource management (e.g., network connection, threads, etc.). Airframe has a built-in object life cycle manager to implement these hooks:

import wvlet.airframe._

object MyServerService {
  val design = newDesign
    .bind[Server]
    .onInit{ x:Server => ... }        // Called when the object is initialized
    .onInject{ x:Server => ... }      // Called when the object is injected
    .onStart{ x:Server => ... }       // Called when session.start is called
    .afterStart{ x:Server => ... }    // Called after onStart lifecycle is finished.
                                      // Use this only when you need to add an extra startup process for testing.
    .beforeShutdown{ x:Server => ...} // Called right before all shutdown hook is called
                                      // Useful for adding pre-shutdown step
    .onShutdown{ x:Server => ... }    // Called when session.shutdown is called
  )
}

These life cycle hooks except onInject will be called only once when the binding type is singleton.

Eager Initialization of Singletons for Production

In production, initializing singletons (by calling onStart) is preferred. To use production mode, use Design.withProductionMode:

// All singletons defined in the design will be initialized (i.e., onInit/onInject/onStart hooks will be called)
design
  .withProductionMode
  .build[X]{ x =>
    // Do something with X
  }

To initialize X eagerly, X must be found in the design or used in the other dependencies defined in the design.

Suppress Life Cycle Logging

If you don't need to show Session start/terminate logs, use Design.noLifeCycleLogging:

design
  .noLifeCycleLogging
  .build[X]{ x => ... }

This will show lifecycle event logs only in debug level logs.

Annotation-based life cycle hooks

Airframe also supports JSR-250 style shutdown hooks via @PostConstruct and @PreDestroy annotations:

import javax.annotation.{PostConstruct, PreDestroy}

trait MyService {
  @PostConstruct
  def init {
    // Called when the object is initialized. The same behavior with onInit
  }

  @PreDestroy
  def stop {
    // Called when session.shutdown is called. The same with onShutdown.
  }
}

These annotations are not supported in Scala.js, because Scala.js has no run-time reflection to read annotations in a class. For maximum compatibility, we recommend using onStart/onShutdown hooks or implementing AutoCloseable interface.

Designing Applications with Airframe

When writing an application, these concerns below are often unrelated to the core application logic:

How to build service objects.
How to configure services.
How to manage life cycle of service objects.

Airframe allows separating these concerns into Design. For example, when writing service A and B in the following figure, you should be able to focus only direct dependencies. In this example DBClient and FluentdLogger are the direct dependencies of A and B.

When building objects A and B, we usually need to think about the other indirect dependencies like ConnectionPool, HttpClient, DB, etc. By injecting dependencies using bind[X] syntax (left), we can effectively forget about there indirect dependencies (right):

Advanced Binding Types

Generic Type Binding

Airframe can bind objects to generics types. Traditional DI libraries for Java (e.g., Guice, etc.) cannot distinguish generic classes that have different type parameters (e.g., Seq[Int], Seq[String]) because Java compiler applies type erasure, and converts them to the same Seq[Object] type. In Airframe, generic types with different type parameters will be treated differently. For example, all of the following bindings can be assigned to different objects:

bind[Seq[_]]
bind[Seq[Int]]
bind[Seq[String]]

bind[Map[Int,String]]
bind[Map[_,_]]

Behind the scene, Airframe uses Surface as identifier of types so that we can extract these types identifiers at compile time.

Type Alias Binding

If you need to bind different objects to the same data type, use type aliases of Scala. For example,

case class Fruit(name: String)

type Apple = Fruit
type Banana = Fruit

trait TaggedBinding {
  val apple  = bind[Apple]
  val banana = bind[Banana]
}

Alias binding is useful to inject primitive type values:

import wvlet.airframe._

type Env = String

trait MyService {
  // Conditional binding
  lazy val threadManager = bind[Env] match {
     case "test" => bind[TestingThreadManager] // prepare a testing thread manager
     case "production" => bind[ThreadManager] // prepare a thread manager for production
  }
}

val coreDesign = newDesign

val testingDesign =
  coreDesign.
    bind[Env].toInstance("test")

val productionDesign =
  coreDesign
    .bind[Env].toInstance("production")

Multi-Binding

If you want to switch a service to be called depending on the user input, you can just use Scala's functionality + Airframe binding.

To illustrate this, consider building an web application that receives a request and returns a string message. Dispatcher class receives an URL path and choose an appropriate Handler to use:

import wvlet.airframe._

trait Handler {
  def handle(request:Request): String
}

trait DefaultHandler extends Handler {
  def handle(request:Request): String = "hello"
}

trait InfoHandler extends Handler {
  def handle(rquest:Request): String = "info"
}

trait Dispatcher {
  private val dispatcher: String => Handler = {
    case "info" => bind[InfoHandler]
    case _ => bind[DefaultHandler]
  }

  def dispatch(path:String, request:Request): String =  {
     dispatcher(path).handle(request)
  }
}

In Google Guice, we need to use a special binder like Multibinder. In Airframe, we just need to write a Scala code that uses bind[X].

Tagged Type Binding

Tagged binding @@ is also useful to annotate type names:

// This import statement is necessary to use tagged type (@@)
import wvlet.airframe.surface.tag._

trait Name
trait Id

trait A {
  val name = bind[String @@ Name]
  val id = bind[Int @@ Id]
}

Known Issues

Running `design.build[X]` inside Future causes ClassNotFoundException in sbt 1.3.x

This is caused by LayeredClassLoader of sbt 1.3.x, which initialize Scala's global ExecutionContext with a class loader isolated from the application classloader.

To avoid this issue, we need to explicitly prepare an executor for the Future inside the application, instead of using scala.concurrent.ExecutionContext.Implicits.global

import java.util.concurrent.Executors
import scala.concurrent.{Await, ExecutionContext, Future}
import wvlet.airframe._

// Do not import scala.concurrent.ExecutionContext.Implicits.global
val threadPool              = Executors.newCachedThreadPool()
implicit val futureExecutor = ExecutionContext.fromExecutor(threadPool)

case class MyConfig(port: Int = 8080)

Future {
  newDesign.build[MyConfig] { config => println(config) }
}

Another workaround is setting fork in run := true or fork in test := test to your build.sbt, or using Flat classloader layering strategy:

Test / classLoaderLayeringStrategy := ClassLoaderLayeringStrategy.Flat

Debugging DI

To check the runtime behavior of Airframe's dependency injection, set the log level of wvlet.airframe to debug or trace:

src/main/resources/log.properties

wvlet.airframe=debug

While debugging the code in your test cases, you can also use log-test.properties file: src/test/resources/log-test.properties

wvlet.airframe=debug

See airframe-log configuration for the details of log level configurations.

Then you will see the log messages that show the object bindings and injection activities:

2016-12-29 22:23:17-0800 debug [Design] Add binding: ProviderBinding(DependencyFactory(PlaneType,List(),wvlet.airframe.LazyF0@442b0f),true,true)  - (Design.scala:43)
2016-12-29 22:23:17-0800 debug [Design] Add binding: ProviderBinding(DependencyFactory(Metric,List(),wvlet.airframe.LazyF0@1595a8db),true,true)  - (Design.scala:43)
2016-12-29 22:23:17-0800 debug [Design] Add binding: ClassBinding(Engine,GasolineEngine)  - (Design.scala:43)
2016-12-29 22:23:17-0800 debug [Design] Add binding: ProviderBinding(DependencyFactory(PlaneType,List(),wvlet.airframe.LazyF0@b24c12d8),true,true)  - (Design.scala:43)
2016-12-29 22:23:17-0800 debug [Design] Add binding: ClassBinding(Engine,SolarHybridEngine)  - (Design.scala:43)
2016-12-29 22:23:17-0800 debug [SessionBuilder] Creating a new session: session:7bf38868  - (SessionBuilder.scala:48)
2016-12-29 22:23:17-0800 debug [SessionImpl] [session:7bf38868] Initializing  - (SessionImpl.scala:48)
2016-12-29 22:23:17-0800 debug [SessionImpl] [session:7bf38868] Completed the initialization  - (SessionImpl.scala:55)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get or update dependency [AirPlane]  - (SessionImpl.scala:80)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get dependency [wvlet.obj.tag.@@[example.Example.Wing,example.Example.Left]]  - (SessionImpl.scala:60)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get dependency [wvlet.obj.tag.@@[example.Example.Wing,example.Example.Right]]  - (SessionImpl.scala:60)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get dependency [example.Example.Engine]  - (SessionImpl.scala:60)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get or update dependency [Fuel]  - (SessionImpl.scala:80)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get dependency [example.Example.PlaneType]  - (SessionImpl.scala:60)
2016-12-29 22:23:17-0800 debug [SessionImpl] Get dependency [example.Example.Metric]  - (SessionImpl.scala:60)

Tracing DI with Google Chrome Browser

To visualize the lifecycle of injected objects, enabling ChromeTracer is useful:

import wvlet.airframe._

val d = newDesign
  .withTracer(ChromeTracer.newTracer("target/trace.json"))

// DI tracing report will be stored in target/trace.json
// You can open this file with Google Chrome. Open chrome://tracing, and load the json file.
d.build[MyApp] { app =>
  //
}

After running a session, open target/trace.json file using Google Chrome. Open chome://tracing, and load the json file. It will display the lifecycle of AirframeSession and the injected objects:

Use Cases

This page illustrates typical use cases of Airframe.

Configuring Applications
Managing Resources
Factory Binding
Service Mix-In
Override Bindings

Configuring Applications

Configuring applications is cumbersome because you need to think about how to pass configurations to your classes. With Airframe this process becomes much simpler; Just binding configuration objects to your class:

import wvlet.airframe._

case class Config(host:String, port:Int)

trait App {
  // bind configurations
  private val config = bind[Config]
  private val server = bind[Server]

  def run {
    sever.launch(config.host, config.port)
  }
}

// Create a new design and add configuration
val d =
  newDesign
  .bind[Server].to[YourServer]
  .bind[Config].toInstance(new Config("localhost", 8080))

// Start the application
d.withSession { session =>
  val app = session.build[App]
  app.run
}

To change the configuration, you only need to add another binding because bindings to the same type object can be overwritten:

// You can override Config in your test code
val testDesign =
  d.bind[Config].toInstance(new Config("localhost", randomPort))

Airframe has a submodule called airframe-config, which is useful for configuring your applications with YAML files.

Managing Resources

Airframe makes easier managing resources (e.g., network or database connections, thread managers, etc.) For example, if you are writing an application that requires an access to a database service. You need to establish a connection, and also need to properly close the connection after the application terminates. Airframe support such resource management using Life Cycle triggers (onInit, onStart, onShutdown):

import wvlet.airframe._

trait DBService {
  private val dbConfig = bind[DBConfig]
  private val connection = bind[DBConnection]
    .onInit { c => c.connect(dbConfig.url, dbConfig.user, ... ) }
    .onShutdown {
      // This will be executed when session.shutdown is called
      c => c.close
    }

  def query(sql:String) = {
    connection.query(sql)
  }
}

// Using DBService. This class has no need to care about closing DB
// connection resources because DBService will take care of it.
trait App {
  val dbService = bind[DBService]

  dbService.query("select * from tbl")
}

// Your application launcher code
val d = newDesign
  .bind[DBService].toSingleton // To share the connection between classes
  .bind[DBConfig].toInstance(DBConfig("jdbc://...", "user name", ...))

d.withSession { session =>
  // db connection will be established here
  val app = session.build[App]
}
// database connection will be closed automatically

Factory Binding

If you need to configure a service (e.g., port number of an web client), but you need to provide other dependencies from Airframe, bindFactory[I => A] can be used.

trait MyClient {
  private val port = bind[Int] // This will be overwritten by the factory
  private val httpClientConfig = bind[HttpClientConfig] // Use the shared instance
  private val httpClient = new HttpClient(port, httpClientConfig)

  @PreDestroy
  def stop: Unit = {
    httpClient.close()
  }
}

trait MyService {
  // Create a factory Int => MyClient, which will override Int binding using a given parameter.
  val clientFactory = bindFactory[Int => MyClient]
}


newDesign
  .bind[HttpClientConfig].toInstance(HttpClientConfig(useSSL=true, timeoutSec=60))
  .build[MyService] { s =>
    val client1 = s.clientFactory(8080)
    val client2 = s.clientFactory(8081)
  }
// clients will be closed here

In this example, port number (Int) can be provided later when instantiating MyClient. HttpClientConfig instance can be shared between generated clients. You can also define lifecycle hooks to MyClient, which will be added for each generated instance of MyClient.

Service Mix-In

A traditional way of building applications is passing necessary services to a main class:

class YourService(threadPool:ThreadPool, s1:Service1, s2:Service2, ...) {
  ...
}

val t = new ThreadPool
val s1 = new Service1(...)
val s2 = new Service2(...)
...
val service = new YourService(t, s1, s2, ...)

However, this approach is not scalable if you need to use more services in your class or if you need to implement applications that require different subsets of services.

If you write such services as traits in Scala, it will be quite easy to compose applications that depends on many services. Here is an example of defining services using Airframe and Scala traits:

import wvlet.airframe._

// Define a thread pool functionality
trait ThreadPool {
  private val executorService = bind[ExecutorService]
    .onShutdown{ _.shutdown }

  def submit[U](body: => U) {
    executorService.submit(new Runnable {
      def run { body }
    }
  }
}

// Instead of using constructor arguments,
// create a service trait that binds necessary service objects
trait ThreadPoolService {
  val threadPool = bindSingleton[ThreadPool]
}

// Another service
trait MonitorService {
  val monitor = bind[Monitor]
}

// Mix-in services
trait App1 extends ThreadPoolService with MonitorService {
  monitor.log("starting app")
  threadPool.submit( ... )
}

// Reuse singleton ThreadPool in another application
trait App2 extends ThreadPoolService {
  threadPool.submit( ... )
}

In general, you can create your application with Service mix-ins as below:

trait YourApp
 extends AService
    with BService
    with CDService
    ...
    with ZService
{
  // use a, b, c, d, .., z here
}

trait AService {
  val a = bind[A]
}

trait BService {
  val b = bind[B]
}

trait CDService {
  val c = bind[C]
  val d = bind[D]
}
...

Override Bindings

It is also possible to manually inject an instance implementation. This is useful for changing the behavior of objects for testing:

trait CustomApp extends App1 {
  // Manually inject an instance
  override val monitor = new MockMonitor { ... }
}

If you are using ScalaMock or Mockito, you may overwrite a service with a mock (empty) implementation:

trait MockApp extends App1 {
  override val monitor = mock[Monitor]
}

Or you can use mock instance binding by extending the design:

val coreDesign =
  newDesign
  .bind[Monitor].to[MonitorImpl]

val testDesign =
  coreDesign
  .bind[Monitor].toInstance(mock[Monitor])

Airframe Internals

This page describes the internals of Airframe for developers who are interested in extending Airframe.

Session

A Session in Airframe is a holder of instances and binding rules. Airframe is designed to simplify the instantiation of complex objects like:

new App(a = new A(b = new B), ...)

into this form:

session.build[App]

In this code Airframe DI will take care of the object instantiation by automatically finding how to build App, and its dependencies A, B, etc.

Example

To explain the role of Session, let's start with a simple code that uses Airframe bindings:

import wvlet.airframe._

trait App {
  val a = bind[A]
}

trait A {
  val b = bind[B]
}

val session =
  newDesign
  .bind[B].toInstance(new B(...))
  .newSesion // Creates a session thats holds the above instance of B

val app = session.build[App]

This code builds an instance of App using a concrete instance of B stored in the session.

Injecting Session

To create instances of A and B inside App, we need to pass the concrete instance of B though the session instance. But trait definitions of App and A don't know anything about the session, so we need a way to resolve the instance of B.

To do so, Airframe will pass a reference to the Session while building App, A, and B. A trick is inside the implementation of build and bind. Let's look at how session.build[App] will work when creating an instance of App.

Here is the code for building an App:

val app = session.build[App]

Airframe expands this code into this form at compile-time:

val app: App =
{ ss: Session =>
  // Extends DISupport to pass Session object
  new App extends DISupport {
    // Inject a reference to the current session
    def session = ss

    // val a = bind[A] (original code inside App)
    // If type A is instantiatable trait (non abstract type)
    val a: A = {
      // Trying to find a session (using DISupport.session).
      // If no session is found, MISSING_SESSION exception will be thrown
      val ss1 = wvlet.airframe.Session.findSession(this)
      val binder: Session => A = (ss2: Session =>
        // Register a code for instantiating A
        ss2.getOrElseUpdate(Surface.of[A],
      (new A with DISupport { def session = ss1 }).asInstanceOf[A]
        )
      )
      // Create an instance of A by injecting the current session
      binder(ss1)
    }
  }
}.apply(session)

To generate the above code, Airframe is using Scala Macros. You can find the actual macro definitions in AirframeMacros.scala

When bind[X] is called, the active session must be found. So if you try to instantiate A without using session.build[A], MISSING_SESSION runtime-error will be thrown:

val a1 = new A // MISSING_SESSION error will be thrown at run-time

val a2 = session.build[A] // This is OK

In the above code, A will be instantiated with DISupport trait, which has session definition. bind[B] inside trait A will be expanded liks this similarly:

new A extends DISupport {
  // (original code) val b = bind[B]
  val b: B = { ss: Session =>
    val ss = findSession(this)
    // If the session already has an instance of B, return it. Otherwise, craete a new instance of B
    ss.getOrElse(Surface.of[B], (session:Session => new B with DISupport { ... } ))
  }
  // Inject the current session to build B
  .apply(session)
}

Comparison with a naive approach

The above macro-generated code looks quite scarly at first glance. However, if you write similar code by yourself, you will end up doing almost the same thing with Session.

For example, consider building App trait using a custom B instance:

{
  val myB = new B {}
  val myA = new A(b = myB) {}
  new App(a = myA)
}
// How can we find myA and myB after exiting the scope?
// What if a and b hold resources (e.g., network connection, database connection, etc.), that need to be released later?

To manage life cycle of A and B, you eventually needs to store the object references somewhere like this:

// Assume storing objects in a Map-backed session
val session = Map[Class[_], AnyRef]()

session += classOf[B] -> new B {}
session += classOf[A] -> new A(b=session.get(classOf[B])) {}

val app = new App(a = session.get(classOf[A])) {}
session += classOf[App] -> app

// At shutdown phase
session.objects.foreach { x=>
  x match {
    case a:A => // release A
    case b:B => // release B ...
    case _ => ...
  }
}

As we have seen in the example of Service Mix-in, if we need to manage hundreds of services, manually writing such object management functions will be cumbersome. Airframe helps you to oraganize building service objects.

Instantiation Methods

When bind[X] is used, according to the type of X different code can be generated:

If X is a non-abstract trait, the generated code will be like the above.
If X is a non-abstract class that has a primary constructor, Airframe inject dependencies to the constructor arguments:

// case class X(a:A, b:B, ..)

val surface = Surface.of[X]
// build instances of a, b, ...
val args = surface.params.map(p -> session.getInstance(p.surface))
surface.objectFactory.newInstance(p)

If X is an abstract class or trait, X needs to be found in X because X cannot be instantiated automatically:

session.get(Surface.of[X])

Surface

Airframe uses Surface.of[X] as identifiers of object types. Surface is an object type inspection library.

Here are some examples of Surface:

import wvlet.surface

Surface.of[A] // A
Surface.of[Seq[Int]] // Seq[Int]
Surface.of[Seq[_]] // Seq[_]
// Seq[Int] and Seq[_] are different types as Surface

// Type alias
type MyInt = Int
Surface.of[MyInt] // MyInt:=Int

Surface treats type aliases (e.g., MyInt) and Int as different types. This provides flexibilities in binding different objects to the same type. For example, you can define MyInt1, MyInt2, ... Google Guice doesn's support this kind of bindings to the same types.

Scala is a JVM language, so at the byte-code level, all of generics type parameters will be removed because of type erasure. That means, we cannot distinguish between Seq[Int] and Seq[_] within the byte code; These types are the same type Seq[AnyRef] in the byte code:

Seq[Int] => Seq[AnyRef]
Seq[_] => Seq[AnyRef]

Surface knows the detailed type parameters like Seq[Int] and Seq[_], so it can distinguish these two Seq types.

To provide detailed type information only available at compile-time, Surface uses runtime-reflecation, which can pass compile-type type information such as function argument names, generic types, etc., to the runtime environment. Surface extensively uses scala.reflect.runtime.universe.Type information so that bindings using type names can be convenient for the users.

For compatibility with Scala.js, which doesn't support any runtime reflection, Surface uses Scala macros to embed compile-time type information into the runtime objects.

Surface Parameters

Surface also holds object parameters, so that we can find objects necessary for building A:

case class A(b:B, c:C)

// B and C will be necessary to build A
Surface.of[A] => Surface("A", params:Seq("b" -> Surface.of[B], "c" -> Surface.of[C]))

Quick Start

.scalafmt.conf

Basic Usage

Bind

Constructor Injection

In-Trait Injection

Binding Types

Design

Singleton Bindings

Design is Immutable

Session

Child Sessions

Finding The Current Session

Life Cycle

Eager Initialization of Singletons for Production

Suppress Life Cycle Logging

Annotation-based life cycle hooks

Designing Applications with Airframe

Advanced Binding Types

Generic Type Binding

Type Alias Binding

Multi-Binding

Tagged Type Binding

Known Issues

Running design.build[X] inside Future causes ClassNotFoundException in sbt 1.3.x

Debugging DI

Tracing DI with Google Chrome Browser

Use Cases

Configuring Applications

Managing Resources

Factory Binding

Service Mix-In

Override Bindings

Airframe Internals

Session

Example

Injecting Session

Comparison with a naive approach

Instantiation Methods

Surface

Surface Parameters

Running `design.build[X]` inside Future causes ClassNotFoundException in sbt 1.3.x