scala-expert

安装量: 55
排名: #13609

安装

npx skills add https://github.com/personamanagmentlayer/pcl --skill scala-expert

Scala Expert

Expert guidance for Scala development, functional programming, Akka actors, and reactive systems.

Core Concepts Scala Fundamentals Immutability Pattern matching Case classes Traits and mixins Implicit conversions For comprehensions Functional Programming Higher-order functions Monads (Option, Either, Try) Functors and Applicatives Type classes Pure functions Referential transparency Reactive Systems Akka actors Akka Streams Akka HTTP Play Framework Cats Effect ZIO Scala Basics // Case classes case class User(id: String, name: String, email: String, age: Int)

// Pattern matching def processUser(user: User): String = user match { case User(, name, , age) if age < 18 => s"$name is a minor" case User(, name, , age) if age >= 65 => s"$name is a senior" case User(, name, , _) => s"$name is an adult" }

// Options instead of null def findUser(id: String): Option[User] = { database.get(id) }

val userName = findUser("123") match { case Some(user) => user.name case None => "Unknown" }

// Or using map val name = findUser("123").map(_.name).getOrElse("Unknown")

// For comprehensions def getUserWithPosts(userId: String): Option[(User, List[Post])] = { for { user <- findUser(userId) posts <- findPosts(userId) } yield (user, posts) }

// Traits and mixins trait Serializable { def toJson: String }

trait Loggable { def log(message: String): Unit = println(s"[LOG] $message") }

case class Person(name: String, age: Int) extends Serializable with Loggable { def toJson: String = s"""{"name":"$name","age":$age}""" }

// Implicit classes (extension methods) implicit class StringOps(s: String) { def isValidEmail: Boolean = s.contains("@") && s.contains(".") }

"test@example.com".isValidEmail // true

Functional Programming import cats. import cats.implicits.

// Functor val numbers = List(1, 2, 3, 4, 5) val doubled = numbers.map(_ * 2)

// Applicative val result = (Option(1), Option(2), Option(3)).mapN { (a, b, c) => a + b + c }

// Monad (flatMap) def fetchUser(id: String): Future[Option[User]] = ??? def fetchPosts(userId: String): Future[List[Post]] = ???

val userWithPosts: Future[Option[(User, List[Post])]] = { fetchUser("123").flatMap { case Some(user) => fetchPosts(user.id).map(posts => Some((user, posts))) case None => Future.successful(None) } }

// Or with for-comprehension val result: Future[Option[(User, List[Post])]] = for { userOpt <- fetchUser("123") posts <- fetchPosts(userOpt.map(_.id).getOrElse("")) } yield userOpt.map(user => (user, posts))

// Either for error handling sealed trait Error case class NotFound(id: String) extends Error case class ValidationError(message: String) extends Error

def validateUser(user: User): Either[Error, User] = { if (user.email.isValidEmail) Right(user) else Left(ValidationError("Invalid email")) }

def saveUser(user: User): Either[Error, User] = { for { validated <- validateUser(user) saved <- database.save(validated) } yield saved }

// Type classes trait Show[A] { def show(a: A): String }

object Show { def applyA: Show[A] = sh

implicit val stringShow: Show[String] = new Show[String] { def show(s: String): String = s }

implicit val intShow: Show[Int] = new Show[Int] { def show(i: Int): String = i.toString }

implicit def listShow[A: Show]: Show[List[A]] = new Show[List[A]] { def show(list: List[A]): String = { list.map(Show[A].show).mkString("[", ", ", "]") } } }

def printA: Show: Unit = { println(Show[A].show(a)) }

Akka Actors import akka.actor.typed. import akka.actor.typed.scaladsl.

// Actor definition object UserActor { sealed trait Command final case class GetUser(id: String, replyTo: ActorRef[Response]) extends Command final case class CreateUser(user: User, replyTo: ActorRef[Response]) extends Command

sealed trait Response final case class UserFound(user: User) extends Response final case class UserNotFound(id: String) extends Response final case class UserCreated(user: User) extends Response

def apply(): Behavior[Command] = { Behaviors.setup { context => var users = Map.empty[String, User]

  Behaviors.receiveMessage {
    case GetUser(id, replyTo) =>
      users.get(id) match {
        case Some(user) =>
          replyTo ! UserFound(user)
        case None =>
          replyTo ! UserNotFound(id)
      }
      Behaviors.same

    case CreateUser(user, replyTo) =>
      users = users + (user.id -> user)
      replyTo ! UserCreated(user)
      Behaviors.same
  }
}

} }

// Using the actor val system: ActorSystem[UserActor.Command] = ActorSystem(UserActor(), "user-system")

import akka.actor.typed.scaladsl.AskPattern. import akka.util.Timeout import scala.concurrent.duration.

implicit val timeout: Timeout = 3.seconds

val response: Future[UserActor.Response] = system.ask(ref => UserActor.GetUser("123", ref))

Akka Streams import akka.stream. import akka.stream.scaladsl. import akka.actor.ActorSystem

implicit val system = ActorSystem("streams") implicit val materializer = ActorMaterializer()

// Simple stream val source = Source(1 to 10) val flow = Flow[Int].map(_ * 2) val sink = Sink.foreachInt

source.via(flow).runWith(sink)

// Backpressure handling val throttled = Source(1 to 100) .throttle(10, 1.second) .map { n => println(s"Processing $n") n * 2 } .runWith(Sink.ignore)

// Error handling val resilient = Source(1 to 10) .map { n => if (n == 5) throw new Exception("Error at 5") n * 2 } .recover { case e: Exception => -1 } .runWith(Sink.seq)

// Parallelism val parallel = Source(1 to 100) .mapAsync(parallelism = 4) { n => Future { // Async operation Thread.sleep(100) n * 2 } } .runWith(Sink.seq)

Akka HTTP import akka.http.scaladsl.Http import akka.http.scaladsl.server.Directives. import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport. import spray.json.DefaultJsonProtocol._

// JSON protocol case class User(id: String, name: String, email: String)

object JsonProtocol { implicit val userFormat = jsonFormat3(User) }

import JsonProtocol._

// Routes val routes = pathPrefix("api") { pathPrefix("users") { get { path(Segment) { userId => // GET /api/users/:userId complete(findUser(userId)) } ~ pathEnd { // GET /api/users complete(getAllUsers()) } } ~ post { pathEnd { // POST /api/users entity(as[User]) { user => complete(createUser(user)) } } } } }

// Start server val bindingFuture = Http().newServerAt("localhost", 8080).bind(routes)

Cats Effect / ZIO import cats.effect. import cats.effect.implicits.

// Pure functional effects with Cats Effect def fetchUser(id: String): IO[User] = IO { // Effectful computation database.get(id) }

def saveUser(user: User): IO[Unit] = IO { database.save(user) }

val program: IO[Unit] = for { user <- fetchUser("123") updated = user.copy(name = "Updated") _ <- saveUser(updated) } yield ()

// Error handling val safeProgram: IO[Either[Throwable, Unit]] = program.attempt

// Parallel execution val parallel: IO[List[User]] = { List("1", "2", "3") .parTraverse(id => fetchUser(id)) }

// ZIO import zio._

def fetchUserZIO(id: String): Task[User] = ZIO.attempt { database.get(id) }

val zioProgram: Task[Unit] = for { user <- fetchUserZIO("123") _ <- Console.printLine(s"Found user: ${user.name}") } yield ()

Best Practices Functional Programming Prefer immutability Use pure functions Avoid side effects Use Option/Either over null/exceptions Leverage type classes Use for-comprehensions Apply functional composition Scala Style Follow naming conventions Use case classes for data Prefer vals over vars Use pattern matching Avoid null Use implicits carefully Write idiomatic code Performance Use lazy evaluation Stream large datasets Avoid unnecessary allocations Use tail recursion Profile before optimizing Consider parallelism Anti-Patterns

❌ Using null ❌ Mutable state everywhere ❌ God objects ❌ Excessive implicits ❌ Not handling errors ❌ Blocking operations ❌ Not using type safety

Resources Scala Documentation: https://docs.scala-lang.org/ Akka Documentation: https://doc.akka.io/ Cats: https://typelevel.org/cats/ ZIO: https://zio.dev/ Functional Programming in Scala (Red Book)

返回排行榜