Play framework - pass parameter to Writes and Reads - json

Is there a way to pass parameter into a Writes to I will be able to control they way the JsValue is written?
This is how it looks right now:
implicit val myClassWrites = new Writes[MyClass] {
override def writes(l: MyClass): JsValue = Json.obj("a" -> l.a, "b" -> l.b)
}
But I want to do something like this:
implicit val myClassWrites = new Writes[MyClass] (extended: Option[Boolean]) {
override def writes(l: MyClass): JsValue = {
extended match{
case true => //do something
case false => //do something else
}
}
}
Is there an elegant way to achieve this? or something similar?
I managed do implement this need with Reads like this(dropping the implicit):
def myClassReads(c: String) : Reads[MyClass] = (
Reads.pure(c) and
(JsPath \ "a").read[String] and
(JsPath \ "b").read[String]
) (MyClass.apply _)
And then when I want to use the reads (usually in the controller when I want to validate the body of the request) I do:
request.body.validate[MyClass](MyClass.myClassReads("foo")).fold(
errors => //
myClass=> // do domething
)
So the Writes is still a mystery.

You can do this with implicit parameters. See code below:
case class Extended(b: Boolean)
object MyClass {
implicit def MyClassWrites(implicit extended: Extended): Writes[MyClass] = new Writes[MyClass] {
def writes(l: MyClass) =
if (extended.b) JsString("foo")
else JsString("bar")
}
}
And then use like this
implicit var extd = Extended(true)
println(Json.toJson(myClass)) // foo
extd = Extended(false)
println(Json.toJson(myClass)) // bar

Related

Insert record into Db using Slick (Scala), Best practices for an Entity

First to say, I'm newcomer in Scala and really need a little help. I need to build a web api, and I'll try to insert one record into database, but have some problems with mapping the entity (db table) into a model (class). I worked with .Net Core Web API (there I used Entity Framework Core, here in Scala use Slick) and try to keep same arhitecture in Scala, but need some more informations, because on the internet I find a lot of versions, and can not choose the best.
As database, MySQL is used.
User.scala
case class User(
id: Int = 0,
userName: String,
firstName: String,
lastName: String
) {
override def equals(that: Any): Boolean = true
}
object User {
implicit object UserFormat extends Format[User] {
def writes(user: User): JsValue = {
val userSeq = Seq(
"id" -> JsNumber(user.id),
"userName" -> JsString(user.userName),
"firstName" -> JsString(user.firstName),
"lastName" -> JsString(user.lastName)
)
JsObject(userSeq)
}
def reads(json: JsValue): JsResult[User] = {
JsSuccess(User(
(json \ "id").as[Int].value,
(json \ "userName").as[String].value,
(json \ "firstName").as[String].value,
(json \ "lastName").as[String].value)
)
}
}
def tupled = (this.apply _).tupled
}
class UserMap #Inject()(protected val dbConfigProvider: DatabaseConfigProvider)(implicit ex: ExecutionContext) {
val dbConfig: DatabaseConfig[JdbcProfile] = dbConfigProvider.get[JdbcProfile]
val db: JdbcBackend#DatabaseDef = dbConfig.db
val dbUsers = TableQuery[UserDef]
def getAll(): Unit = {
val action = sql"SELECT Id, UserName, FirstName, LastName FROM Users".as[(Int, String, String, String)]
return db.run(action)
}
def add(user: User): Future[Seq[User]] = {
dbUsers += user
db.run(dbUsers.result)
}
}
UserDef.scala (which is a mapper of db table / entity)
class UserDef(tag: Tag) extends Table[User](tag, "Users") {
def id = column[Int]("Id", O.PrimaryKey, O.AutoInc)
def userName = column[String]("UserName")
def firstName = column[String]("FirstName")
def lastName = column[String]("LastName")
override def * = (id, userName, firstName, lastName) <> (create, extract)
def create(user: (Int, String, String, String)): User = User(user._1, user._2, user._3, user._4)
def extract(user: User): Option[(Int, String, String, String)] = Some((user.id, user.userName,user.firstName,user.lastName))
}
UsersController.scala
def createUser = Action(parse.json) { implicit request => {
val userJson = request.body
var user = new User(
-1,
(userJson \ "userName").as[String].value,
(userJson \ "firstName").as[String].value,
(userJson \ "lastName").as[String].value
)
var users = TableQuery[UserDef]
Await.result(db.run(DBIO.seq(
users += user,
users.result.map(println))), Duration.Inf
)
Ok(Json.toJson(user))
}
}
How I see the problem:
UserDef is an Entity and must remain clean, only table columns definitions
UserMap is the bridge between User class and UserDef (entity), can be used as a repository with crud methods (getAll(), getById(id), create(user), update(user), delete(id)). This is in same file as User class, but probably must be moved in another.
User class is the model and need to contain only their parameters and writes/reads (Scala specifics)
and now in the controller:
If I try to insert a record into database, with current method, first I need to get all rows from table, and then to add the new record in the list. What happening if I have 3 4mil records in this table? Will get all these rows useless to insert only a new row.
Then, after inserting this new row, I need to return it into client, but how I can get it updated (Id is every time -1, but if I get entire list to see what it contain, I can see the correct id for the newest entity)
thx
Finally, I found a good solution and post it here, maybe somebody need this:
UserMap, for me at least will become UserRepository. There I have CRUD operations and maybe some extra :
def getAll(): Future[Seq[User]] = {
db.run(dbUsers.result)
}
def getById(id: Int): Future[Option[User]] ={
val action = dbUsers.filter(_.id === id).result.headOption
db.run(action)
}
def create(user: User): Future[User] = {
val insertQuery = dbUsers returning dbUsers.map(_.id) into ((x, id) => x.copy(id = id))
val action = insertQuery += user
db.run(action)
}
def update(user: User) {
Try( dbUsers.filter(_.id === user.id).update(user)) match {
case Success(response) => db.run(response)
case Failure(_) => println("An error occurred!")
}
}
def delete(id: Int) {
Try( dbUsers.filter(_.id === id).delete) match {
case Success(response) => db.run(response)
case Failure(_) => println("An error occurred!")
}
}
and UsersController:
def getAll() = Action {
var users = Await.result(usersRepository.getAll(), Duration.Inf)
Ok(Json.toJson(users))
}
def getById(id: Int) = Action { implicit request => {
val user = Await.result(usersRepository.getById(id), Duration.Inf)
Ok(Json.toJson(user))
}
}
def create = Action(parse.json) { implicit request => {
val userJson = request.body
var user = new User(
-1,
(userJson \ "userName").as[String].value,
(userJson \ "firstName").as[String].value,
(userJson \ "lastName").as[String].value
)
var createdUser = Await.result(usersRepository.create((user)), Duration.Inf)
Ok(Json.toJson(createdUser))
}
}
def update(id: Int) = Action(parse.json) { implicit request => {
val userJson = request.body
var user = new User(
(userJson \ "id").as[Int].value,
(userJson \ "userName").as[String].value,
(userJson \ "firstName").as[String].value,
(userJson \ "lastName").as[String].value
)
var updatedUser = usersRepository.update(user)
Ok(Json.toJson(user))
}
}
def delete(id: Int) = Action {
usersRepository.delete(id)
Ok("true")
}
Anyway, I know I have some bad blocks of code there...especially in create & update methods, where convert json to User.
I wanted to give it a try, and here is a full working example of a Play 2.7/Scala 2.13/Slick 4.0.2 REST-API controller bound to a MySQL database.
Since you are starting with Scala, maybe it is a bit overwhelming at first to get eased with Play, Slick, etc...
So here is an humble skeleton (derived from Play-Slick GitHub)
So first, since we want to write an API, here is the conf/routes file:
GET /users controllers.UserController.list()
GET /users/:uuid controllers.UserController.get(uuid: String)
POST /users controllers.UserController.create()
PUT /users controllers.UserController.update()
DELETE /users/:uuid controllers.UserController.delete(uuid: String)
Nothing to fancy here, we just bind routes to functions in the upcoming controller.
Just notice that the 2nd GET and the DELETE expect an UUID as query param, while Json bodies with be used for the POST and PUT.
It would be nice to see the model right now, in app/models/User.scala:
package models
import java.util.UUID
import play.api.libs.json.{Json, OFormat}
case class User(
uuid: UUID,
username: String,
firstName: String,
lastName: String
) {
}
object User {
// this is because defining a companion object shadows the case class function tupled
// see: https://stackoverflow.com/questions/22367092/using-tupled-method-when-companion-object-is-in-class
def tupled = (User.apply _).tupled
// provides implicit json mapping
implicit val format: OFormat[User] = Json.format[User]
}
I used an uuid instead using a numerical id, but basically, it is the same.
Notice that a Json serializer/deserializer can be written in just one line (you don't need to detail it with case classes). I think it is also a good practice to not override it to produce Seq as found on your code, since this serializer will be very usefull when converting objects to Json on the controller.
Now the tupled definition is most likelly a hack (see comment) that will be required later on the DAO...
Next, we need a controller in app/controllers/UserController.scala:
package controllers
import java.util.UUID
import forms.UserForm
import javax.inject.Inject
import play.api.Logger
import play.api.data.Form
import play.api.i18n.I18nSupport
import play.api.libs.json.Json
import play.api.mvc._
import services.UserService
import scala.concurrent.{ExecutionContext, Future}
import scala.util.{Failure, Success, Try}
class UserController #Inject()(userService: UserService)
(implicit ec: ExecutionContext) extends InjectedController with I18nSupport {
lazy val logger: Logger = Logger(getClass)
def create: Action[AnyContent] = Action.async { implicit request =>
withFormErrorHandling(UserForm.create, "create failed") { user =>
userService
.create(user)
.map(user => Created(Json.toJson(user)))
}
}
def update: Action[AnyContent] = Action.async { implicit request =>
withFormErrorHandling(UserForm.create, "update failed") { user =>
userService
.update(user)
.map(user => Ok(Json.toJson(user)))
}
}
def list: Action[AnyContent] = Action.async { implicit request =>
userService
.getAll()
.map(users => Ok(Json.toJson(users)))
}
def get(uuid: String): Action[AnyContent] = Action.async { implicit request =>
Try(UUID.fromString(uuid)) match {
case Success(uuid) =>
userService
.get(uuid)
.map(maybeUser => Ok(Json.toJson(maybeUser)))
case Failure(_) => Future.successful(BadRequest(""))
}
}
def delete(uuid: String): Action[AnyContent] = Action.async {
Try(UUID.fromString(uuid)) match {
case Success(uuid) =>
userService
.delete(uuid)
.map(_ => Ok(""))
case Failure(_) => Future.successful(BadRequest(""))
}
}
private def withFormErrorHandling[A](form: Form[A], onFailureMessage: String)
(block: A => Future[Result])
(implicit request: Request[AnyContent]): Future[Result] = {
form.bindFromRequest.fold(
errors => {
Future.successful(BadRequest(errors.errorsAsJson))
}, {
model =>
Try(block(model)) match {
case Failure(e) => {
logger.error(onFailureMessage, e)
Future.successful(InternalServerError)
}
case Success(eventualResult) => eventualResult.recover {
case e =>
logger.error(onFailureMessage, e)
InternalServerError
}
}
})
}
}
So here:
basically, each of our 5 functions referenced from the routes file check input, and then delegate the work to an injected UserService (more on that later)
for the create and update functions, you can see that we use Play Forms that I think is also a good practice. Their role is to validate the incoming Json, and that Marshall it into a User type.
Also, you can see that we use Action.async: Scala offers a very powerfull leverage with Futures so lets use it! Basically by doing so, you ensure that your code is not-blocking, thus easing the IOPS on your hardware.
Finally for the case of GET (one), GET (all), POST and PUT, since we return users, and have a deseralizer, a simple Json.toJson(user) do the work.
Before jumping to service and dao, lets see the form, in app/forms/UserForm.scala:
package forms
import java.util.UUID
import models.User
import play.api.data.Form
import play.api.data.Forms.{mapping, nonEmptyText, _}
object UserForm {
def create: Form[User] = Form(
mapping(
"uuid" -> default(uuid, UUID.randomUUID()),
"username" -> nonEmptyText,
"firstName" -> nonEmptyText,
"lastName" -> nonEmptyText,
)(User.apply)(User.unapply)
)
}
Nothing too fancy here, just as the doc says, although there is just a trick : when no uuid is defined (in the POST case, then we generate one).
Now, the service... not so much required in this very case, but in practice it might be a good thing to have an extra layer (dealing with acls for example), in app/services/UserService.scala:
package services
import java.util.UUID
import dao.UserDAO
import javax.inject.Inject
import models.User
import scala.concurrent.{ExecutionContext, Future}
class UserService #Inject()(dao: UserDAO)(implicit ex: ExecutionContext) {
def get(uuid: UUID): Future[Option[User]] = {
dao.get(uuid)
}
def getAll(): Future[Seq[User]] = {
dao.all()
}
def create(user: User): Future[User] = {
dao.insert(user)
}
def update(user: User): Future[User] = {
dao.update(user)
}
def delete(uuid: UUID): Future[Unit] = {
dao.delete(uuid)
}
}
As you can see, here, it is just a wrapper around the dao, and finnally the dao in app/dao/UserDao.scala:
package dao
import java.util.UUID
import javax.inject.Inject
import models.User
import play.api.db.slick.{DatabaseConfigProvider, HasDatabaseConfigProvider}
import play.db.NamedDatabase
import slick.jdbc.JdbcProfile
import scala.concurrent.{ExecutionContext, Future}
class UserDAO #Inject()(#NamedDatabase("mydb") protected val dbConfigProvider: DatabaseConfigProvider)(implicit executionContext: ExecutionContext) extends HasDatabaseConfigProvider[JdbcProfile] {
import profile.api._
private val users = TableQuery[UserTable]
def all(): Future[Seq[User]] = db.run(users.result)
def get(uuid: UUID): Future[Option[User]] = {
db.run(users.filter(_.uuid === uuid).result.headOption)
}
def insert(user: User): Future[User] = {
db.run(users += user).map(_ => user)
}
def update(user: User): Future[User] = {
db.run(users.filter(_.uuid === user.uuid).update(user)).map(_ => user)
}
def delete(uuid: UUID): Future[Unit] = {
db.run(users.filter(_.uuid === uuid).delete).map(_ => ())
}
private class UserTable(tag: Tag) extends Table[User](tag, "users") {
def uuid = column[UUID]("uuid", O.PrimaryKey)
def username = column[String]("username")
def firstName = column[String]("firstName")
def lastName = column[String]("lastName")
def * = (uuid, username, firstName, lastName) <> (User.tupled, User.unapply)
}
}
So, here I have just adapted the code from the official play-slick example, so I guess, I do not have better comment than theirs...
Hope, the whole things helps to get a better picture :)
If something is unclear, feel free to ask!

RuntimeException on validation of JsonReaders - Scala - ReactiveMongo

I have a case classe to store my userOption that I insert into my User.
The structure of my user is as such:
{
"_id":ObjectId("55d54d05ece39a6cf774c3e4"),
"main":{
"providerId":"userpass",
"userId":"test1#email.com",
"firstName":"test",
"lastName":"one",
"fullName":"Test One",
"email":"test1#email.com",
"authMethod":{
"method":"userPassword"
},
"passwordInfo":{
"hasher":"bcrypt",
"password":"aslkdjfasdjh"
}
},
"userOption":{
"hotLeadNotification":{
"f":"IMMEDIATE"
}
}
}
now, I'd like to add an additional option: favoriteNotification.
I changed my case class adding favoriteNotification:
case class UserOption (
hotLeadNotification: Frequency = Frequency("IMMEDIATE"),
favoriteNotification: Frequency = Frequency("IMMEDIATE")
)
object UserOption{
implicit val userOptionFormat = Json.format[UserOption]
implicit object BSONObjectIDFormat extends Format[BSONObjectID] {
def writes(objectId: BSONObjectID): JsValue = JsString(objectId.toString())
def reads(json: JsValue): JsResult[BSONObjectID] = json match {
case JsString(x) => {
val maybeOID: Try[BSONObjectID] = BSONObjectID.parse(x)
if(maybeOID.isSuccess) JsSuccess(maybeOID.get) else {
JsError("Expected BSONObjectID as JsString")
}
}
case _ => JsError("Expected BSONObjectID as JsString")
}
}
val userOptionForm = Form(
mapping(
"hotLeadNotification" -> text,
"favoriteNotification" -> text
)((hotLeadNotification: String, favoriteNotification: String) =>
UserOption(
hotLeadNotification = Frequency(hotLeadNotification),
favoriteNotification = Frequency(favoriteNotification)
)
)((u:UserOption) => Some(u.hotLeadNotification.f, u.favoriteNotification.f))
)
implicit object UserOptionBSONReader extends BSONDocumentReader[UserOption] {
def read(doc: BSONDocument): UserOption =
UserOption(
doc.getAs[Frequency]("hotLeadNotification").getOrElse(Frequency("IMMEDIATE")),
doc.getAs[Frequency]("favoriteNotification").getOrElse(Frequency("IMMEDIATE"))
)
}
implicit object UserOptionBSONWriter extends BSONDocumentWriter[UserOption]{
def write(userOption: UserOption): BSONDocument =
BSONDocument(
"hotLeadNotification" -> userOption.hotLeadNotification,
"favoriteNotification" -> userOption.favoriteNotification
)
}
}
Since I added favoriteNotification, I get a RuntimeException:
java.lang.RuntimeException: (/userOption/favoriteNotification,List(ValidationError(error.path.missing,WrappedArray())))
at scala.sys.package$.error(package.scala:27) ~[scala-library-2.11.6.jar:na]
at play.api.libs.iteratee.Iteratee$$anonfun$run$1.apply(Iteratee.scala:355) ~[play-iteratees_2.11-2.3.9.jar:2.3.9]
at play.api.libs.iteratee.Iteratee$$anonfun$run$1.apply(Iteratee.scala:348) ~[play-iteratees_2.11-2.3.9.jar:2.3.9]
at play.api.libs.iteratee.StepIteratee$$anonfun$fold$2.apply(Iteratee.scala:670) ~[play-iteratees_2.11-2.3.9.jar:2.3.9]
at play.api.libs.iteratee.StepIteratee$$anonfun$fold$2.apply(Iteratee.scala:670) ~[play-iteratees_2.11-2.3.9.jar:2.3.9]
But there's not list in my code. What am I doing wrong?
Thanks for your help
The issue was that UserOption was an Option, but not it parameters. As I added only the new option is the case class and not in the database, it was throwing this error.
I changed the case class as adding options:
case class UserOption (
hotLeadNotification: Option[Frequency] = Some(Frequency("IMMEDIATE")),
favoriteNotification: Option[Frequency] = Some(Frequency("IMMEDIATE"))
)

Scala, Akka, Spray: How to validate json data before processing?

I can process this json when all the inputs are valid, i.e with valid keys (including case) and values. The next step is to validate keys and return 400 (Bad Request) if the keys or values are invalid. What is a good way to add this validation?
The API call
POST http://localhost:8080/api/v1/adsession
Content-Type: application/json
body {
"sessionId": "abcd123123123",
"serviceGroup": "1234",
"targetCode": {"zipcodes":"30096,30188","code2":"value2"}
}
Route handler
class AdSessionRoutes(services: Services)(implicit ec: ExecutionContext, log: LoggingContext) extends ApiRoute(services) {
implicit val timeout = Timeout(10 seconds)
val postSession = pathPrefix("adsession") & pathEnd & post
val route: Route = {
withService("adSession") { service =>
postSession {
entity(as[AdSession]) { adSession =>
log.info(s"Processing POST ${adSession}")
val future = (service ? CreateAdSession(adSession)).mapTo[AdSession]
onComplete(future) {
case Success(result) =>
complete(StatusCodes.Created, result)
case Failure(e) =>
log.error(s"Error: ${e.toString}")
complete(StatusCodes.InternalServerError, Message(ApiMessages.UnknownException))
}
}
}
}
}
}
Model object
case class AdSession(
sessionId: String,
serviceGroup: String,
targetCodes: Map[String,String],
id: Option[String] = None)
object AdSessionJsonProtocol extends DefaultJsonProtocol {
implicit val adSessionFormat = jsonFormat4(AdSession)
}
entity(as[AdSession]) does map keys to case class fields, but I'm not sure how to catch those errors. I would like to capture those errors as well as add additional validations and return 400 with valid json error response.
I know this may be a little late but since akka-http-2.4.6, you can put the verification logic inside a case class. Check out this for info on how to do it.
Define your own read and write methods for AdSession like this:
object AdSessionJsonProtocol {
implicit object adSessionJsonFormat extends RootJsonFormat[AdSession] {
override def read(json: JsValue): AdSession = ???
override def write(obj: AdSession): JsValue = ???
}
}
Inside read function you can perform additional validation.
Another question is how to pass collected errors to Spray route. I would like to suggest you to wrap AdSession into Either[String, AdSession], for example:
postSession {
entity(as[Either[String, AdSession]]) { adSession =>
So, now your adSessionJsonFormat will looks like:
implicit object adSessionJsonFormat extends RootJsonFormat[Either[String, AdSession]] {
override def read(json: JsValue): Either[String, AdSession] = {
// json.asJsObject.fields access fields, perform checks
// if everything is OK return Right(AdSession(...))
// otherwise return Lift("Error Message")
}
override def write(obj: Either[String, AdSession]): JsValue = ???
}
But, I think it's possible to solve it in more elegant way using some implicit magic.

Spray: Marshalling UUID to JSON

I'm having some problems marshalling from UUID to JSON
def complete[T <: AnyRef](status: StatusCode, obj: T) = {
r.complete(status, obj) // Completes the Request with the T obj result!
}
^
The signature of my class:
trait PerRequest extends Actor
with Json4sSupport
with Directives
with UnrestrictedStash
with ActorLogging {
val json4sFormats = DefaultFormats.
This gives me :
"id": {
"mostSigBits": -5052114364077765000,
"leastSigBits": -7198432257767597000
},
instead of:
"id": "b9e348c0-cc7f-11e3-9c1a-0800200c9a66"
So, how can I add a UUID format to json4sFormats to marshall UUID's correctly?? In other cases I mix in with a trait that have this function:
implicit object UuidJsonFormat extends RootJsonFormat[UUID] {
def write(x: UUID) = JsString(x.toString)
def read(value: JsValue) = value match {
case JsString(x) => UUID.fromString(x)
case x => deserializationError("Expected UUID as JsString, but got " + x)
}
}
But here I'm not able to because I don't have declared a spray.json.RootJsonReader and/or spray.json.RootJsonWriter for every type T and does not compile. (See complete function T <: AnyRef)
Thanks.
I solved it! If someone has the same problem take a look here
I defined my own UUID Serializer as follows:
class UUIDSerializer extends CustomSerializer[UUID](format => (
{
case JObject(JField("mostSigBits", JInt(s)) :: JField("leastSigBits", JInt(e)) :: Nil) =>
new UUID(s.longValue, e.longValue)
},
{
case x: UUID => JObject(JField("id", JString(x.toString)))
}
))
And now it's working!

Comma separated list with Enumerator

I've just started working with Scala in my new project (Scala 2.10.3, Play2 2.2.1, Reactivemongo 0.10.0), and encountered a pretty standard use case, which is - stream all the users in MongoDB to the external client. After navigating Enumerator, Enumeratee API I have not found a solid solution for that, and so I solved this in following way:
val users = collection.find(Json.obj()).cursor[User].enumerate(Integer.MAX_VALUE, false)
var first:Boolean = true
val indexedUsers = (users.map(u => {
if(first) {
first = false;
Json.stringify(Json.toJson(u))
} else {
"," + Json.stringify(Json.toJson(u))
}
}))
Which, from my point of view, is a little bit tricky - mainly because I needed to add Json Start Array, Json End Array and comma separators in element list, and I was not able to provide it as a pure Json stream, so I converted it to String steam.
What is a standard solution for that, using reactivemongo in play?
I wrote a helper function which does what you want to achieve:
def intersperse[E](e: E, enum: Enumerator[E]): Enumerator[E] = new Enumerator[E] {
val element = Input.El(e)
override def apply[A](i1: Iteratee[E, A]): Future[Iteratee[E, A]] = {
var iter = i1
val loop: Iteratee[E, Unit] = {
lazy val contStep = Cont(step)
def step(in: Input[E]): Iteratee[E, Unit] = in match {
case Input.Empty ⇒ contStep
case Input.EOF ⇒ Done((), Input.Empty)
case e # Input.El(_) ⇒
iter = Iteratee.flatten(iter.feed(element).flatMap(_.feed(e)))
contStep
}
lazy val contFirst = Cont(firstStep)
def firstStep(in: Input[E]): Iteratee[E, Unit] = in match {
case Input.EOF ⇒ Done((), Input.Empty)
case Input.Empty ⇒
iter = Iteratee.flatten(iter.feed(in))
contFirst
case Input.El(x) ⇒
iter = Iteratee.flatten(iter.feed(in))
contStep
}
contFirst
}
enum(loop).map { _ ⇒ iter }
}
}
Usage:
val prefix = Enumerator("[")
val suffix = Enumerator("]")
val asStrings = Enumeratee.map[User] { u => Json.stringify(Json.toJson(u)) }
val result = prefix >>> intersperse(",", users &> asStrings) >>> suffix
Ok.chunked(result)