upickle 从 scalaJS 读取 - upickle.Invalid$Data: String (data: 1)
upickle read from scalaJS - upickle.Invalid$Data: String (data: 1)
来自 ScalaJS。
import upickle.default._
import scala.scalajs.concurrent.JSExecutionContext.Implicits.queue
case class Post(userId: Long, id: Long, title: String, body: String)
@JSExport
def posts() : Future[Seq[Post]] = {
val txt = """[{
"userId": 1,
"id": 1,
"title": "sunt aut facere repellat provident occaecati excepturi optio reprehenderit",
"body": "quia et suscipit\nsuscipit recusandae consequuntur expedita et cum\nreprehenderit molestiae ut ut quas totam\nnostrum rerum est autem sunt rem eveniet architecto"
}]"""
val p = read[Seq[Post]](txt)
println(p)
p
}
pp onFailure {
case x => println(x)
}
println(x) 打印:upickle.Invalid$Data: String (data: 1)
如何让它发挥作用?
嗯..
"uPickle serializes Longs as "1" in order to avoid
corruption/truncation for large numbers in Scala.js. If they're coming
down as JSON Numbers, you need to type them as Ints or Doubles"
来自 ScalaJS。
import upickle.default._
import scala.scalajs.concurrent.JSExecutionContext.Implicits.queue
case class Post(userId: Long, id: Long, title: String, body: String)
@JSExport
def posts() : Future[Seq[Post]] = {
val txt = """[{
"userId": 1,
"id": 1,
"title": "sunt aut facere repellat provident occaecati excepturi optio reprehenderit",
"body": "quia et suscipit\nsuscipit recusandae consequuntur expedita et cum\nreprehenderit molestiae ut ut quas totam\nnostrum rerum est autem sunt rem eveniet architecto"
}]"""
val p = read[Seq[Post]](txt)
println(p)
p
}
pp onFailure {
case x => println(x)
}
println(x) 打印:upickle.Invalid$Data: String (data: 1)
如何让它发挥作用?
嗯..
"uPickle serializes Longs as "1" in order to avoid corruption/truncation for large numbers in Scala.js. If they're coming down as JSON Numbers, you need to type them as Ints or Doubles"