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!
I'm having trouble using a custom JSON marshaller/unmarshaller. This much works fine:
trait EWorksJsonSupport extends SprayJsonSupport with DefaultJsonProtocol {
implicit object IndividualJsonFormat extends RootJsonFormat[Individual] {
def write(individual: Individual) = JsObject(
// blah blah blah
)
def read(value: JsValue): Individual = {
// blah blah blah
}
}
The problem is that Unsupported Content-Type, supported: application/json is returned as shown below:
import akka.http.scaladsl.model.ContentTypes._
import akka.http.scaladsl.model.HttpEntity
import akka.http.scaladsl.testkit.ScalatestRouteTest
import akka.http.scaladsl.unmarshalling._
import eworks.model.immutableModel.SpeciesAll
import eworks.model.mutableModel.{Individual, Individuals, VirtualWorld}
import eworks.model.{Fixtures, LoadableModel, SpeciesDefaultLike}
import org.junit.runner.RunWith
import org.scalatest.Matchers._
import org.scalatest._
import org.scalatest.junit.JUnitRunner
import spray.json._
#RunWith(classOf[JUnitRunner])
class TestRest extends WordSpec with SpeciesDefaultLike with LoadableModel with ScalatestRouteTest with Fixtures with EWorksJsonSupport {
"EWorksJsonSupport" should {
"work for Individuals" in {
val jsObject: JsValue = harry.toJson
val entity = HttpEntity(`application/json`, jsObject.toString)
Post("/addIndividual", entity) ~> new RestHttp()(speciesDefaults).route ~> check {
handled === true
contentType === `application/json`
status.intValue === 200
val individual1 = Unmarshal(response.entity).to[Individual]
// ErrorFuture(akka.http.scaladsl.unmarshalling.Unmarshaller$UnsupportedContentTypeException: Unsupported Content-Type, supported: application/json)
val individual2 = responseAs[Individual]
responseAs[Individual] shouldBe harry
}
}
}
}
If you can't change the content type you could:
val stringR : String = Await.result(Unmarshal(r).to[String],Duration.Inf)
val ind : Individual = Unmarshal(stringR).to[Individual]
The HttpResponse response you get from the new RestHttp()(speciesDefaults).route router by posting your entity to /addIndividual (as logged, see below) has text/plain as content-type, you should fix that. Also its content does not look like valid JSON (see below).
Response was:
HttpResponse(
200 OK,
List(),
HttpEntity.Strict(
text/plain; charset=UTF-8,
Individual added: harry is a human; (unborn); lifeStage 'adult'
), HttpProtocol(HTTP/1.1)
)
The key to the solution is to call complete with the desired ContentType. Here is a method I wrote that provides an HttpResponse with Content-Type application/json along with the desired content, computed when block is evaluated:
#inline def wrap(block: => JsValue): StandardRoute =
complete(
try {
HttpResponse(entity = HttpEntity(ContentTypes.`application/json`, success(block)))
} catch {
case e: Exception =>
HttpResponse(entity = HttpEntity(ContentTypes.`application/json`, error(e.getMessage)))
}
)
I made a trait to encapsulate this handy utility method:
import akka.http.scaladsl.model.{ContentTypes, HttpEntity, HttpHeader, HttpResponse}
import akka.http.scaladsl.server.{Directives, MediaTypeNegotiator, Route, StandardRoute, UnsupportedRequestContentTypeRejection}
import akka.http.scaladsl.unmarshalling._
import spray.json._
import scala.collection.immutable.Seq
trait RestHttpSupport extends Directives {
#inline def error (msg: String): String = JsObject("error" -> JsString(msg)).prettyPrint
#inline def success(msg: String): String = JsObject("success" -> JsString(msg)).prettyPrint
#inline def error (msg: JsValue): String = JsObject("error" -> msg).prettyPrint
#inline def success(msg: JsValue): String = JsObject("success" -> msg).prettyPrint
#inline def wrap(block: => JsValue): StandardRoute =
complete(
try {
HttpResponse(entity = HttpEntity(ContentTypes.`application/json`, success(block)))
} catch {
case e: Exception =>
HttpResponse(entity = HttpEntity(ContentTypes.`application/json`, error(e.getMessage)))
}
)
#inline def completeAsJson[T](requestHeaders: Seq[HttpHeader])
(body: T => StandardRoute)
(implicit um: FromRequestUnmarshaller[T]): Route = {
import akka.http.scaladsl.model.MediaTypes.`application/json`
if (new MediaTypeNegotiator(requestHeaders).isAccepted(`application/json`)) {
entity(as[T]) { body }
} else {
reject(UnsupportedRequestContentTypeRejection(Set(`application/json`)))
}
}
#inline def postAsJson[T](body: T => StandardRoute)
(implicit um: FromRequestUnmarshaller[T]): Route = {
(post & extract(_.request.headers)) { requestHeaders =>
completeAsJson[T](requestHeaders) { body }
}
}
}
One the trait is mixed in, and assuming that implicit serializers built from SprayJsonSupport with DefaultJsonProtocol are in scope, an Akka HTTP path can be defined using the wrap method. All of this code is taken from EmpathyWorks™ (which is not open source):
path("definedEvents") {
get { wrap(allDefinedEvents.toJson) }
} ~
path("listIndividuals") {
get { wrap(individuals.toJson) }
} ~
path("listSpecies") {
get { wrap(speciesAll.toJson) }
} ~
path("listSpeciesNames") {
get { wrap(speciesAll.collection.map(_.name).toJson) }
}
I'll appreciate if someone can throw pointers on how to modify the following play framework logging filter (ref. play filters) to achieve the following:
Print and modify the incoming json request body and http headers (e.g., for POST, PUT, & PATCH)
Print and modify the outgoing json response body and http headers
A modification example can be injecting/replacing some token strings in the request and response body, e.g,
REQUEST Json: {'a': 'REPLACE_ME', 'b': 'REPLACE_ME_TOO', 'c':'something'}
RESPONSE Json: {'A': 'REPLACE_ME', 'Bb': 'REPLACE_ME_TOO', 'C':'anything'}
import play.api.Logger
import play.api.mvc._
import play.api.libs.concurrent.Execution.Implicits.defaultContext
object LoggingFilter extends EssentialFilter {
def apply(nextFilter: EssentialAction) = new EssentialAction {
def apply(requestHeader: RequestHeader) = {
val startTime = System.currentTimeMillis
nextFilter(requestHeader).map { result =>
val endTime = System.currentTimeMillis
val requestTime = endTime - startTime
Logger.info(s"${requestHeader.method} ${requestHeader.uri}" +
s" took ${requestTime}ms and returned ${result.header.status}")
result.withHeaders("Request-Time" -> requestTime.toString)
}
}
}
}
So far I have tried the following solution which is clearly ugly and brutal as it contains blocking calls and cryptic operators. I am still not sure how to re-inject the modified request body. (The presented solution incorporates code from 2 and 3.)
import play.api.libs.iteratee._
import play.api.mvc._
import scala.concurrent.ExecutionContext.Implicits.global
import scala.concurrent.{Await, Future}
import scala.concurrent.duration.Duration
class ReqResFilter extends EssentialFilter {
def apply(next: EssentialAction) = new EssentialAction {
def apply(requestHeader: RequestHeader): Iteratee[Array[Byte], Result] = {
modifyRequest(next, requestHeader).map { result => modifyResponse(result)}
}
}
def bytesToString: Enumeratee[Array[Byte], String] = Enumeratee.map[Array[Byte]] { bytes => new String(bytes)}
def modifyRequest(nextA: EssentialAction, request: RequestHeader): Iteratee[Array[Byte], Result] = {
def step(body: Array[Byte], nextI: Iteratee[Array[Byte], Result])(i: Input[Array[Byte]]):
Iteratee[Array[Byte], Result] = i match {
case Input.EOF =>
val requestBody = new String(body, "utf-8")
val modRequestBody = requestBody.replaceAll("REPLACE_ME", "1224")
println(s"modifyRequest:: Here is the request body ${modRequestBody}")
Iteratee.flatten(nextI.feed(Input.EOF))
case Input.Empty =>
Cont[Array[Byte], Result](step(body, nextI) _)
case Input.El(e) =>
val curBody = Array.concat(body, e)
Cont[Array[Byte], Result](step(curBody, Iteratee.flatten(nextI.feed(Input.El(e)))) _)
}
val nextIteratee: Iteratee[Array[Byte], Result] = nextA(request)
Cont[Array[Byte], Result](i => step(Array(), nextIteratee)(i))
}
def modifyResponse(result: Result): Result = {
val responseBodyFuture: Future[String] = result.body |>>> bytesToString &>> Iteratee.consume[String]()
val responseBody = Await.result(responseBodyFuture, Duration.Inf)
val modResponseBody = responseBody.replaceAll("REPLACE_ME", "1224")
println(s"modifyResponse:: Here is the response body ${modResponseBody}")
new Result(result.header, Enumerator(modResponseBody.getBytes)).withHeaders("New-Header" -> "1234")
}
}
Well since there are no solutions posted here let me add one solution. To make it work, I rewrote step() in modifyRequest() as follows:
def step(body: Array[Byte], nextI: Iteratee[Array[Byte], Result])(i: Input[Array[Byte]]):
Iteratee[Array[Byte], Result] = i match {
case Input.EOF =>
val requestBody = new String(body, "utf-8")
val modRequestBody = requestBody.replaceAll("REPLACE_ME", "1224")
println(s"modifyRequest:: Here is the request body ${modRequestBody}")
Iteratee.flatten(nextI.feed(Input.El(modRequestBody.getBytes)))
case Input.Empty =>
Cont[Array[Byte], Result](step(body, nextI) _)
case Input.El(e) =>
val curBody = Array.concat(body, e)
Cont[Array[Byte], Result](step(curBody, nextI) _)
}
The change is still blocking in nature as it buffers the incoming request. If someone has better solution please do post. Thanks.
I'm trying to write some integration tests for a RestfulController in Grails 2.4.0 responding in JSON format. The index()-Method is implemented like this:
class PersonController extends RestfulController<Person> {
...
def index(final Integer max) {
params.max = Math.min(max ?: 10, 100)
respond listAllResources(params), [includes: includeFields]
}
...
}
The integration test looks like this:
void testListAllPersons() {
def controller = new PersonController()
new Person(name: "Person", age: 22).save(flush:true)
new Person(name: "AnotherPerson", age: 31).save(flush:true)
controller.response.format = 'json'
controller.request.method = 'GET'
controller.index()
assertEquals '{{"name":"Person", "age": "22"},{"name":"AnotherPerson", "age": "31"}}', controller.response.json
}
What i don't understand is controller.response.json only contains the "AnotherPerson" instead of both entries.
When i start the server with run-app und test it with a Rest-Client i get both entries.
Any Ideas?
You haven't included enough information to say for sure what the problem is but the following test passes with 2.4.0.
The domain class:
// grails-app/domain/com/demo/Person.groovy
package com.demo
class Person {
String name
Integer age
}
The controller:
// grails-app/controllers/com/demo/PersonController.groovy
package com.demo
class PersonController extends grails.rest.RestfulController<Person> {
PersonController() {
super(Person)
}
def index(final Integer max) {
params.max = Math.min(max ?: 10, 100)
respond listAllResources(params)
}
}
The test:
// test/unit/com/demo/PersonControllerSpec.groovy
package com.demo
import grails.test.mixin.TestFor
import spock.lang.Specification
#TestFor(PersonController)
#Mock(Person)
class PersonControllerSpec extends Specification {
void "test index includes all people"() {
given:
new Person(name: "Person", age: 22).save(flush:true)
new Person(name: "AnotherPerson", age: 31).save(flush:true)
when:
request.method = 'GET'
response.format = 'json'
controller.index()
then:
response.status == 200
response.contentAsString == '[{"class":"com.demo.Person","id":1,"age":22,"name":"Person"},{"class":"com.demo.Person","id":2,"age":31,"name":"AnotherPerson"}]'
}
}
I simplified the example a little too much. I used a named object marshaller which i created (incorrect) in bootstrap.groovy like this:
JSON.createNamedConfig('simplePerson') { converterConfig ->
converterConfig.registerObjectMarshaller(Person) {
JSON.registerObjectMarshaller(Person) {
def map = [:]
map['name'] = it.name
map['age'] = it.age
return map
}
}
}
And used it in the controller:
...
JSON.use("simplePerson")
...
The problem is solved by creating the object marshaller like this:
JSON.createNamedConfig('simplePerson') { converterConfig ->
converterConfig.registerObjectMarshaller(Person) {
def map = [:]
map['name'] = it.name
map['age'] = it.age
return map
}
}