I am starting to develop in Scala, so I started witha really simple RESTful API using AKKA HTTP actors and then wanted to add a PostgreSQL database to "close up" the project. The thing is that somewhere in the project, a Future that is returned by a db.run method is converted into a Promise and returning me errors. When I run the Main object and start the API and hit somewhere, I get this error:
Cannot cast scala.concurrent.impl.Promise$DefaultPromise to scala.collection.immutable.Seq or Cannot cast scala.concurrent.impl.Promise$DefaultPromise to api.Item depending on which route I an hitting.
Here is the main api.scala file:
package api
import akka.actor.{Actor, ActorSystem, Props}
import akka.http.scaladsl.Http
import akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport._
import akka.http.scaladsl.model.StatusCodes
import akka.http.scaladsl.server.Directives._
import akka.http.scaladsl.server.Route
import akka.pattern.ask
import akka.util.Timeout
import api.Main.ItemActor._
import slick.jdbc.JdbcBackend.Database
import spray.json.DefaultJsonProtocol._
import scala.concurrent.Future
import scala.concurrent.duration.DurationInt
import scala.util.{Failure, Success}
object Main extends App {
val db = Database.forConfig("scaladb");
val itemDao = new handler(db)
val system = ActorSystem("mySystem")
val itemActor = system.actorOf(Props(new ItemActor(db)))
implicit val actorSystem = system
implicit val itemFormat = jsonFormat3(Item)
implicit val timeout: Timeout = Timeout(5.seconds)
class ItemActor(db: Database) extends Actor {
import api.Main.ItemActor._
def receive = {
case CreateItem(item) =>
sender() ! itemDao.create(item)
case ReadItem(id) =>
sender() ! itemDao.read(id)
case ReadAllItems =>
sender() ! itemDao.readAll
case UpdateItem(item) =>
sender() ! itemDao.update(item)
case DeleteItem(id) =>
sender() ! itemDao.delete(id)
}
}
object ItemActor {
case class CreateItem(item: Item)
case class ReadItem(id: Int)
case object ReadAllItems
case class UpdateItem(item: Item)
case class DeleteItem(id: Int)
}
def handleResponse(futureResponse: Future[Item]): Route = {
onComplete(futureResponse) {
case Success(response) => complete(response)
case Failure(ex) => complete(StatusCodes.InternalServerError, s"An error occurred: ${ex.getMessage}")
}
}
def handleResponseSeq(futureResponse: Future[Seq[Item]]): Route = {
onComplete(futureResponse) {
case Success(response) => complete(response)
case Failure(ex) => complete(StatusCodes.InternalServerError, s"An error occurred: ${ex.getMessage}")
}
}
val routes = pathPrefix("items") {
pathEnd {
post {
entity(as[Item]) { item =>
handleResponse((itemActor ? CreateItem(item)).mapTo[Item])
}
} ~
get {
handleResponseSeq((itemActor ? ReadAllItems).mapTo[Seq[Item]])
}
} ~
path(IntNumber) { id =>
get {
handleResponse((itemActor ? ReadItem(id)).mapTo[Item])
} ~
put {
entity(as[Item]) { item =>
handleResponse((itemActor ? UpdateItem(item)).mapTo[Item])
}
} ~
delete {
handleResponse((itemActor ? DeleteItem(id)).mapTo[Item])
}
}
}
val bindRoutes = Http().bindAndHandle(routes, "localhost", 8888)
println("Server online at http://localhost:8888/")
}
Then the handler (Where I definde the methods that access the PostgreSQL database):
package api
import slick.jdbc.PostgresProfile.api._
import scala.concurrent.Future
class handler (db:Database){
val items = TableQuery[Items]
def create(item:Item): Future[Item] = {
db.run((items returning items.map(_.id.?) into ((item, id) => item.copy(id = id))) += item)
}
def read(id: Int): Future[Option[Item]] = {
db.run(items.filter(_.id === id).result.headOption)
}
def readAll: Future[Seq[Item]] = {
println((db.run(items.result)).getClass)
db.run(items.result)
}
def update(item: Item): Future[Int] = {
db.run(items.filter(_.id === item.id).update(item))
}
def delete(id: Int): Future[Int] = {
db.run(items.filter(_.id === id).delete)
}
}
And the items file:
package api
import slick.jdbc.PostgresProfile.api._
case class Item(id: Option[Int] = None, name: String, description: String)
class Items(tag: Tag) extends Table[Item](tag, "items") {
def id = column[Int]("id", O.PrimaryKey, O.AutoInc)
def name = column[String]("name")
def description = column[String]("description")
def * = (id.?, name, description) <> (Item.tupled, Item.unapply)
}
I've tried to use a getClass next to the db.run(items.result) in the handler file, and it prits class scala.concurrent.impl.Promise$DefaultPromise so it must be something of an implicit converter. Thanks.
You're mixing Futures and actors, which is generally not a great idea.
In your ItemActor, instead of sending the future as a reply, it's a better idea to pipe the future as a reply (the reply won't actually happen until the future is complete, that is to say, the DAO has a result).
import akka.pattern.pipe
class ItemActor(db: Database) extends Actor {
import ItemActor._
import context.dispatcher
def receive = {
case CreateItem(item) =>
itemDao.create(item).pipeTo(sender())
case ReadItem(id) =>
itemDao.read(id).pipeTo(sender())
}
}
That said, at least in this code, there doesn't really seem to be a good reason for ItemActor to exist, given that it's just forwarding operations to the DAO. Making the itemDao visible in the routes, you could just as well do:
handleResponse(itemDao.create(item))
Here: handleResponse((itemActor ? CreateItem(item)).mapTo[Item])
Actor returns Future[Item], mapTo[Item] tries to cast it to item and fails.
You want your actor to return the actual item, not Future result from db.run.
I haven't used akka in a while, but I think, something like this should work:
val replyTo = sender
...
case CreateItem(item) => itemDao.create(item).onComplete {
case Success(i) => replyTo ! i
case Failure(e) => throw e
}
...
Related
I am using scala futures to poll API status . Continue to poll till return success or fail. How ever when any batch fails, it should throw error and stop the program.
I am not able throw error either by throw ( exception) or Future.successful(false) or Future.failed(new Exception("error")) .
package FutureScheduler
import scala.concurrent.{Await, Future}
import scala.concurrent.ExecutionContext.Implicits.global
object delayTest extends App {
import scala.concurrent.Future
import scala.concurrent.duration._
import scala.concurrent.ExecutionContext.Implicits.global
def getStatus(batchId: String): String = {
print(s" $batchId ${System.currentTimeMillis()} continue \n")
batchId match {
case "batch1" => "success"
case "batch2" => "failed"
case "batch2" => "success"
}
}
def waitTask(batch: (String, Int)
): Future[Boolean] =
Delayed(x.seconds)(getStatus(batch._1)).flatMap {
case "success" =>
print(s"\n${batch._1} succeeded for ${batch._2}")
Future.successful(true)
case "failed" =>
print(s"\n${batch._1} failed for ${batch._2}")
Future.failed(new Exception("error"))
throw new RuntimeException("errored")
case _ => {
waitTask(batch)
}
}
val statusList = List(Some("batch1", 123), None, Some("batch2", 124)).flatten
val y = 1
val x = 5
try {
Await.ready(Future.traverse(statusList)((waitTask _)), y.minutes)
}
catch {
case e: Exception => println("caught error")
}
print("\nbye now")
}
import scala.concurrent.duration._
import scala.concurrent.{Future, Promise}
object Delayed {
import java.util.{Timer, TimerTask}
private val timer = new Timer
def apply[T](delay: Duration)(task: => T): Future[T] = {
val promise = Promise[T]()
val tt = new TimerTask {
override def run(): Unit = promise.success(task)
}
timer.schedule(tt, delay.toMillis)
promise.future
}
}
The throw is happening inside the Future returned by Delayed so it will be caught by that Future.
You need to turn Await.ready into Await.result and then look at the value that it returns to get the result of the test.
We have a Scala application using Scalatra (http://scalatra.org/) as our web framework. I'm wondering if there are any good (or just any) resources out there on how to implement a GraphQL endpoint using Sangria (http://sangria-graphql.org/) and Scalatra?
I'm new to Scala and would appreciate any help to get started on this.
There aren't any that I know of but since Scalatra uses json4s you would use sangria's json4s marshaller .
Otherwise, if sangria could be clearer to you, here's a scala worksheet with a very simplistic example based off play + sangria - in this case you would just need to swap the json library.
The db is mocked (perhaps you use Slick?) and the http server as well but it's a simple case of swapping in the function definitions.
import sangria.ast.Document
import sangria.execution.{ErrorWithResolver, Executor, QueryAnalysisError}
import sangria.macros.derive.{ObjectTypeDescription, ObjectTypeName, deriveObjectType}
import sangria.parser.{QueryParser, SyntaxError}
import sangria.renderer.SchemaRenderer
import sangria.schema.{Argument, Field, IntType, ListType, ObjectType, OptionInputType, Schema, fields}
import scala.concurrent.Await
import scala.concurrent.duration._
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.Future
import scala.util.{Failure, Success}
// replace with another json lib
// eg https://github.com/sangria-graphql/sangria-json4s-jackson
import play.api.libs.json._
import sangria.marshalling.playJson._
case class User(name: String, age: Int, phone: Option[String])
class FakeDb {
class UsersTable {
def getUsers(limit: Int): List[User] = {
// this would come from the db
List(
User("john smith", 23, None),
User("Anne Schwazenbach", 45, Some("2134556"))
)
}
}
val usersRepo = new UsersTable
}
object MySchema {
val limitArg: Argument[Int] = Argument("first", OptionInputType(IntType),
description = s"Returns the first n elements from the list.",
defaultValue = 10)
implicit val UsersType: ObjectType[FakeDb, User] = {
deriveObjectType[FakeDb, User](
ObjectTypeName("Users"),
ObjectTypeDescription("Users in the system")
)
}
private val Query: ObjectType[FakeDb, Unit] = ObjectType[FakeDb, Unit](
"Query", fields[FakeDb, Unit](
Field("users", ListType(UsersType),
arguments = limitArg :: Nil,
resolve = c => c.ctx.usersRepo.getUsers(c.arg(limitArg))
)
))
val theSchema: Schema[FakeDb, Unit] = Schema(Query)
}
object HttpServer {
def get(): String = {
// Http GET
SchemaRenderer.renderSchema(MySchema.theSchema)
}
def post(query: String): Future[JsValue] = {
// Http POST
val variables = None
val operation = None
QueryParser.parse(query) match {
case Success(q) => executeQuery(q, variables, operation)
case Failure(error: SyntaxError) => Future.successful(Json.obj("error" -> error.getMessage))
case Failure(error: Throwable) => Future.successful(Json.obj("error" -> error.getMessage))
}
}
private def executeQuery(queryAst: Document, vars: Option[JsValue], operation: Option[String]): Future[JsValue] = {
val schema: Schema[FakeDb, Unit] = MySchema.theSchema
Executor.execute[FakeDb, Unit, JsValue](schema, queryAst, new FakeDb,
operationName = operation,
variables=vars.getOrElse(Json.obj()))
.map((d: JsValue) => d)
.recover {
case error: QueryAnalysisError ⇒ Json.obj("error" -> error.getMessage)
case error: ErrorWithResolver ⇒ Json.obj("error" -> error.getMessage)
}
}
}
HttpServer.get()
val myquery = """
{
users {
name
}
}
"""
val res: JsValue = Await.result(HttpServer.post(myquery), 10.seconds)
As anyone managed to integrate Deadbolt2 with Silhouette/SecureSocial ?
I find Silhouette Authorization a bit basic and Deadbolt2 meets all the requirements.
Thanks
I've sketched out a rough approach here, but I'll evolve it to a full working example based on the play-silhouette-seed-master activator template when I get time.
Two main steps are required.
Firstly, your com.mohiva.play.silhouette.api.Identity implementation also needs to implement be.objectify.deadbolt.scala.models.Subject.
Secondly, borrow some code from com.mohiva.play.silhouette.api.RequestHandlerBuilder and integrate it into your DeadboltHandler implementation.
import javax.inject.Inject
import be.objectify.deadbolt.scala.models.Subject
import be.objectify.deadbolt.scala.{ AuthenticatedRequest, DeadboltHandler, DynamicResourceHandler }
import com.mohiva.play.silhouette.api.{ LoginInfo, RequestProvider, Silhouette }
import com.mohiva.play.silhouette.impl.authenticators.CookieAuthenticator
import models.User
import play.api.mvc.Results._
import play.api.mvc.{ Request, Result }
import utils.auth.DefaultEnv
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.Future
class MyDeadboltHandler #Inject() (silhouette: Silhouette[DefaultEnv]) extends DeadboltHandler {
override def beforeAuthCheck[A](request: Request[A]): Future[Option[Result]] = Future.successful(None)
override def getSubject[A](request: AuthenticatedRequest[A]): Future[Option[Subject]] =
if (request.subject.isDefined) {
Future.successful(request.subject)
} else {
// this else branch is taken from com.mohiva.play.silhouette.api.RequestHandlerBuilder
silhouette.env.authenticatorService.retrieve(request).flatMap {
// A valid authenticator was found so we retrieve also the identity
case Some(a) if a.isValid =>
silhouette.env.identityService.retrieve(a.loginInfo).map(i => i)
// An invalid authenticator was found so we needn't retrieve the identity
case Some(a) if !a.isValid => Future.successful(None)
// No authenticator was found so we try to authenticate with a request provider
case None => handleRequestProviderAuthentication(request).flatMap {
// Authentication was successful, so we retrieve the identity and create a new authenticator for it
case Some(loginInfo) => silhouette.env.identityService.retrieve(loginInfo).flatMap { (i: Option[User]) =>
silhouette.env.authenticatorService.create(loginInfo)(request).map((a: CookieAuthenticator) => i)
}
// No identity and no authenticator was found
case None => Future.successful(None)
}
}
}
// this whole function is taken from com.mohiva.play.silhouette.api.RequestHandlerBuilder
private def handleRequestProviderAuthentication[B](implicit request: Request[B]): Future[Option[LoginInfo]] = {
def auth(providers: Seq[RequestProvider]): Future[Option[LoginInfo]] = {
providers match {
case Nil => Future.successful(None)
case h :: t => h.authenticate(request).flatMap {
case Some(i) => Future.successful(Some(i))
case None => if (t.isEmpty) Future.successful(None) else auth(t)
}
}
}
auth(silhouette.env.requestProviders)
}
override def onAuthFailure[A](request: AuthenticatedRequest[A]): Future[Result] =
Future.successful(request.subject.map(subject => Redirect(controllers.routes.ApplicationController.index()))
.getOrElse(Redirect(controllers.routes.SignInController.view())))
override def getDynamicResourceHandler[A](request: Request[A]): Future[Option[DynamicResourceHandler]] = Future.successful(None)
}
In your controllers, you can now use Deadbolt constraints instead of the Silhouette authorizations. For example...
class ApplicationController #Inject() (
val messagesApi: MessagesApi,
silhouette: Silhouette[DefaultEnv])
extends Controller with I18nSupport {
def index = silhouette.SecuredAction.async { implicit request =>
Future.successful(Ok(views.html.home(request.identity)))
}
}
can be replaced with
class ApplicationController #Inject() (
val messagesApi: MessagesApi,
deadbolt: ActionBuilders)
extends Controller with I18nSupport {
def index = deadbolt.SubjectPresentAction().defaultHandler() { implicit request =>
Future.successful(Ok(views.html.home(request.subject)))
}
}
I'm trying to understand how to use the new akka.http library. I would like to send an http request to a server and read the whole response body as a single String in order to produce a Source[String,?].
Here is the best solution I was able to produce so far:
def get(
modelID: String,
pool: Flow[(HttpRequest,Int),(Try[HttpResponse],Int),Http.HostConnectionPool]
): Source[String,Unit] = {
val uri = reactionsURL(modelID)
val req = HttpRequest(uri = uri)
Source.single( (req,0) )
.via( pool )
.map {
case (Success(resp),_) =>
resp.entity.dataBytes.map( _.decodeString("utf-8") )
}.flatten(FlattenStrategy.concat)
.grouped( 1024 )
.map( _.mkString )
It seems to work well (except the missing error path), but it is a bit clunky for such simple tasks. Is there a smarter solution ? Can I avoid the grouped/mkString ?
You can use toStrict method of HttpResponse with timeout. It gathers whole answer as Future.
def toStrict(timeout: FiniteDuration)(implicit ec: ExecutionContext, fm: Materializer): Future[Strict] Returns a sharable and serializable
copy of this message with a strict entity.
Example:
import akka.actor.ActorSystem
import akka.http.scaladsl.Http
import akka.http.scaladsl.model.{HttpResponse, HttpRequest}
import akka.stream.{Materializer, ActorMaterializer}
import akka.stream.scaladsl.{Sink, Flow, Source}
import scala.concurrent.{ExecutionContext, Future}
import scala.concurrent.duration._
import scala.util.{Try, Success}
object Main extends App {
implicit val system = ActorSystem()
import system.dispatcher
implicit val materializer = ActorMaterializer()
val host = "127.0.0.1"
lazy val pool = Http().newHostConnectionPool[Int](host, 9000)
FlowBuilder.get("/path", pool).to(Sink.foreach(_.foreach(println))).run()
}
object FlowBuilder {
def get(modelID: String, pool: Flow[(HttpRequest, Int), (Try[HttpResponse], Int), Http.HostConnectionPool])
(implicit ec: ExecutionContext, mat: Materializer): Source[Future[String], Unit] = {
val uri = modelID
val req = HttpRequest(uri = modelID)
Source.single((req, 0)).via(pool)
.map {
case (Success(resp), _) => resp.entity.toStrict(5 seconds).map(_.data.decodeString("UTF-8"))
}
}
}
You can use Unmarshall which will also work on other types e.g. json from spray-json. This also as strict returns Future[_].
Example:
authedReq.via(authServerReqResFlow).mapAsync(1) { case (tryRes, _) =>
tryRes match {
case Failure(exception) => Future.failed[Principal](exception)
case Success(response # HttpResponse(StatusCodes.OK,_,_,_)) =>
val userContext = Unmarshal(response).to[UserContextData]
userContext.map {
case UserContextData(UserInfo(_, userName, fullName, email, title), _, _) =>
Principal(userName, fullName, email, title)
}
case Success(response # HttpResponse(responseCode,_,entity,_)) =>
Unmarshal(entity).to[String].flatMap(msg => Future.failed(new AuthenticationFailure(s"$responseCode\n$msg")))
}
}
I want to be able to make concurrent requests to multiple data repositories and consolidate the results. I am trying to understand if my approach is at all valid or if there is a better way to approach this problem. I am definitely new to Akka / Spray / Scala and really want to get a better understanding of how to properly build these components. Any suggestions / Tips would be greatly appreciated. Trying to wrap my head around the use of actors and futures for this type of implementation.
Spray Service:
trait DemoService extends HttpService with Actor with ActorLogging {
implicit val timeout = Timeout(5 seconds) // needed for `?` below
val mongoMasterActor = context.actorOf(Props[MongoMasterActor], "redisactor")
val dbMaster = context.actorOf(Props[DbMasterActor], "dbactor")
val messageApiRouting =
path("summary" / Segment / Segment) { (dataset, timeslice) =>
onComplete(getDbResponses(dbMaster, dataset, timeslice)) {
case Success(dbMessageResponse) => complete(s"The result was $dbMessageResponse")
case Failure(ex) => complete(s"An error occurred: ${ex.getMessage}")
}
}
/** Passes the desired actor reference for a specific dataset and timeslice for summary data retrieval
*
* #param mongoActor an actor reference to the RedisActor that will handle the appropriate request routing
* #param dataset The dataset for which the summary has been requested
* #param timeslice The timeslice (Month, Week, Day, etc.) for which the summary has been requested
*/
def getSummary(mongoActor: ActorRef, dataset: String, timeslice: String): Future[DbMessageResponse] = {
log.debug(s"dataset: $dataset timeslice: $timeslice")
val dbMessage = DbMessage("summary", dataset + timeslice)
(mongoActor ? dbMessage).mapTo[DbMessageResponse]
}
def getDbResponses(dbActor: ActorRef, dataset: String, timeslice: String): Future[SummaryResponse] = {
log.debug(s"dataset: $dataset timeslice: $timeslice")
val dbMessage = DbMessage("summary", dataset + timeslice)
(dbActor ? dbMessage).mapTo[SummaryResponse]
}
def getSummaryPayload(mongoSummary: DbMessageResponse, redisSummary: DbMessageResponse): String = {
mongoSummary.response + redisSummary.response
}
}
Akka Actor / Future mock db requests:
class DbMasterActor extends Actor with ActorLogging {
private var originalSender: ActorRef = _
//TODO: Need to add routing to the config to limit instances
val summaryActor = context.actorOf(Props(new SummaryActor), "summaryactor")
def receive = {
case msg: DbMessage => {
this.originalSender = sender
msg.query match {
case "summary" => {
getDbResults().onComplete{
case Success(result) => originalSender ! result
case Failure(ex) => log.error(ex.getMessage)
}
}
}
}
//If not match log an error
case _ => log.error("Received unknown message: {} ")
}
def getDbResults(): Future[SummaryResponse] = {
log.debug("hitting db results")
val mongoResult = Future{ Thread.sleep(500); "Mongo"}
val redisResult = Future{ Thread.sleep(800); "redis"}
for{
mResult <- mongoResult
rResult <- redisResult
} yield SummaryResponse(mResult, rResult)
}
}
Following the reading of Effective Akka by Jamie Allen, I am going to attempt to apply his "Cameo" pattern suggestion.
Slideshare:
http://www.slideshare.net/shinolajla/effective-akka-scalaio
Github:
https://github.com/jamie-allen/effective_akka
I think what I created will work, but doesn't sound like the best approach based on Jamie's comments in his talks. I will update / edit back to this post what I have implemented (or try to).
Summary Actor (Cameo Actor):
object SummaryResponseHandler {
case object DbRetrievalTimeout
def props(mongoDb: ActorRef, redisDb: ActorRef, originalSender: ActorRef): Props = {
Props(new SummaryResponseHandler(mongoDb, redisDb, originalSender))
}
}
class SummaryResponseHandler(mongoDb: ActorRef, redisDb: ActorRef,
originalSender: ActorRef) extends Actor with ActorLogging {
import SummaryResponseHandler._
var mongoSummary, redisSummary: Option[String] = None
def receive = LoggingReceive {
case MongoSummary(summary) =>
log.debug(s"Received mongo summary: $summary")
mongoSummary = summary
collectSummaries
case RedisSummary(summary) =>
log.debug(s"Received redis summary: $summary")
redisSummary = summary
collectSummaries
case DbRetrievalTimeout =>
log.debug("Timeout occurred")
sendResponseAndShutdown(DbRetrievalTimeout)
}
def collectSummaries = (mongoSummary, redisSummary) match {
case (Some(m), Some(r)) =>
log.debug(s"Values received for both databases")
timeoutMessager.cancel
sendResponseAndShutdown(DataSetSummary(mongoSummary, redisSummary))
case _ =>
}
def sendResponseAndShutdown(response: Any) = {
originalSender ! response
log.debug("Stopping context capturing actor")
context.stop(self)
}
import context.dispatcher
val timeoutMessager = context.system.scheduler.scheduleOnce(
250 milliseconds, self, DbRetrievalTimeout)
}
class SummaryRetriever(mongoDb: ActorRef, redisDb: ActorRef) extends Actor with ActorLogging {
def receive = {
case GetSummary(dataSet) =>
log.debug("received dataSet")
val originalSender = sender
val handler = context.actorOf(SummaryResponseHandler.props(mongoDb,redisDb, originalSender), "cameo-message-handler")
mongoDb.tell(GetSummary(dataSet), handler)
redisDb.tell(GetSummary(dataSet), handler)
case _ => log.debug(s"Unknown result $GetSummary(datset)")
}
}
Common:
case class GetSummary(dataSet: String)
case class DataSetSummary(
mongo: Option[String],
redis: Option[String]
)
case class MongoSummary(
summary: Option[String]
)
case class RedisSummary(
summary: Option[String]
)
trait MongoProxy extends Actor with ActorLogging
trait RedisProxy extends Actor with ActorLogging
Mock Stubs:
class MongoProxyStub extends RedisProxy {
val summaryData = Map[String, String](
"dataset1" -> "MongoData1",
"dataset2" -> "MongoData2")
def receive = LoggingReceive {
case GetSummary(dataSet: String) =>
log.debug(s"Received GetSummary for ID: $dataSet")
summaryData.get(dataSet) match {
case Some(data) => sender ! MongoSummary(Some(data))
case None => sender ! MongoSummary(Some(""))
}
}
}
class RedisProxyStub extends MongoProxy{
val summaryData = Map[String, String](
"dataset1" -> "RedisData1",
"dataset2" -> "RedisData2")
def receive = LoggingReceive {
case GetSummary(dataSet: String) =>
log.debug(s"Received GetSummary for ID: $dataSet")
summaryData.get(dataSet) match {
case Some(data) => sender ! RedisSummary(Some(data))
case None => sender ! RedisSummary(Some(""))
}
}
}
Boot (You should use test, but was just wanting to run from boot):
object Boot extends App{
val system = ActorSystem("DbSystem")
val redisProxy = system.actorOf(Props[RedisProxyStub], "cameo-success-mongo")
val mongoProxy = system.actorOf(Props[MongoProxyStub], "cameo-success-redis")
val summaryRetrieverActor = system.actorOf(Props(new SummaryRetriever(redisProxy, mongoProxy)), "cameo-retriever1")
implicit val timeout = Timeout(5 seconds)
val future = summaryRetrieverActor ? GetSummary("dataset1")
val result = Await.result(future, timeout.duration).asInstanceOf[DataSetSummary]
println(Some(result.mongo).x)
println(result.redis)
system.shutdown()
}
Application Config:
akka.loglevel = "DEBUG"
akka.event-handlers = ["akka.event.slf4j.Slf4jEventHandler"]
akka.actor.debug.autoreceive = on
akka.actor.debug.lifecycle = on
akka.actor.debug.receive = on
akka.actor.debug.event-stream = on