Okay, perhaps the simple source snippet will make it clear:
type OptProfile = Option[FullProfile]
type LikesAndCount = (Int, Stream[Profile])
val src: Source[Int, NotUsed] = Source[Int](Conf.startId() to Conf.endId
())
val fetchProfileFlow: Flow[Int, OptProfile, NotUsed] = Flow.fromFunction
(Profile.extractFullProfile)
val fetchLikesFlow: Flow[Int, LikesAndCount, NotUsed] = Flow.
fromFunction(Likes.extractUserList)
val profileDataSink: Sink[ByteString, Future[IOResult]] = FileIO.toPath(
new File(base, "profiles").toPath)
val fetchLikesAndUpdateProfile = Flow[(OptProfile,
LikesAndCount)].flatMapConcat
{
case (Some(profile), (likesExpected, stream)) ⇒ GraphDSL.create() {
implicit builder ⇒
import GraphDSL.Implicits._
val in = builder.add(Source(stream))
val profileLikesSink = builder.add(FileIO.toPath(new File(base, s
"likes_${profile.id}").toPath))
in ~> Flow.fromFunction[Profile.Profile, ByteString](p ⇒
ByteString(s"${p.id}:${p.username}\n")) ~> profileLikesSink
// update profile here with the numbers of records and emit it
Source.single(profile).shape
}
}
RunnableGraph.fromGraph(
GraphDSL.create() {
implicit builder ⇒
import GraphDSL.Implicits._
val inlet = builder.add(Broadcast[Int](2))
val merge = builder.add(Zip[OptProfile, LikesAndCount])
src ~> inlet.in
inlet.out(0) ~> fetchProfileFlow ~> merge.in0
inlet.out(1) ~> fetchLikesFlow ~> merge.in1
merge.out ~> fetchLikesAndUpdateProfile ~>
Flow.fromFunction[Profile.FullProfile, ByteString](p ⇒
ByteString(s"$p\n")) ~>
profileDataSink
ClosedShape
}
).run()
So far it is not clear how would I write *fetchLikesAndUpdateProfile* in a
way that it will
- create a sink for storing list of fetched data (every profile has the
associated file named after the profile ID)
- how to retrieve the number of stored records in
*fetchLikesAndUpdateProfile* and update the property in the *FullProfile*
object.
Thanks!
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