Having trouble with implicit conversion in scala

问题

Having this code

case class Workspace(ident: Long, name: String)
case class Project(ident: Long, name: String)

implicit def workspaceJSON: JSONR[Workspace] = new JSONR[Workspace] {
  def read(json: JValue) =
    Workspace.applyJSON(field[Long]("id"), field[String]("name"))(json)
}

implicit def projectJSON: JSONR[Project] = new JSONR[Project] {
  def read(json: JValue) =
    Project.applyJSON(field[Long]("id"), field[String]("name"))(json)
}

def parseEnt[T: JSONR](json: JValue): Either[String, T] =
  fromJSON[T](json).toEither.left.map{ _.toString }

def fetchProjects(ws: Workspace): Either[String, Project] = {
  parseEnt(parse("some text"))
}

Which fails to compile on parseEnt(parse("some text")) with

ambiguous implicit values:  both method taskJSON in class Fetcher of type =>
Fetcher.this.JSONR[types.Task]  and method workspaceJSON in class Fetcher of type =>
Fetcher.this.JSONR[Fetcher.this.Workspace]  match expected type Fetcher.this.JSONR[T]

Is there a way to assure scala, that in this case I want type variable T to be a Project and choose projectJSON function to parse it? Or if I'm doing it wrong, then how do it in right way?

回答1:

The compiler is trying to automatically infer the type T, which must be something that it can be produced starting from a String (more or less, but details an unimportant here)

Unfortunately it can't succeed, since you're providing multiple implicit conversions going from String to Project and Workspace. The simple solution is to explicitly indicate the type you're trying to produce:

parseEnt[Project](parse("some text"))

This pattern is fairly common with serialization type classes, where you are mapping multiple specific types to a generic one (String in this case).

来源：https://stackoverflow.com/questions/24841924/having-trouble-with-implicit-conversion-in-scala