这是一个相当普遍的问题。这个答案的灵感来自Reads.traversableReads[F[_], A]
.
为了支持累积的想法Reads[A]
,我们必须尝试所有生成的Reads[JsObject]
,我们将为此使用 Either[Errors, Vector[JsObject]]。在原始的 'Reads.traversableReads[F[_], A]' 中返回Reads[List[A]]
或一些集合,但我们需要简单的 Json,没问题,++
连接我们的JsObjects
.
def reduceReads(generated: Seq[Reads[JsObject]]) = Reads {json =>
type Errors = Seq[(JsPath, Seq[ValidationError])]
def locate(e: Errors, idx: Int) = e.map { case (p, valerr) => (JsPath(idx)) ++ p -> valerr }
generated.iterator.zipWithIndex.foldLeft(Right(Vector.empty): Either[Errors, Vector[JsObject]]) {
case (acc, (r, idx)) => (acc, r.reads(json)) match {
case (Right(vs), JsSuccess(v, _)) => Right(vs :+ v)
case (Right(_), JsError(e)) => Left(locate(e, idx))
case (Left(e), _: JsSuccess[_]) => Left(e)
case (Left(e1), JsError(e2)) => Left(e1 ++ locate(e2, idx))
}
}
.fold(JsError.apply, { res =>
JsSuccess(res.fold(Json.obj())(_ ++ _))
})
}
scala> json: play.api.libs.json.JsValue = {"attr1":{"attr1a":"attr1a"},"attr2":"attr2"}
scala> res7: play.api.libs.json.JsResult[play.api.libs.json.JsObject] = JsSuccess({"attr1":"attr1a","attr2":"attr2"},)
新的真棒简单答案
几天后,我有了这个绝妙的主意。object Reads
有隐含的Reducer[JsObject, JsObject]
,所以我们可以Seq(Reads[JsObject])
用FunctionalBuilder
(and
然后reduce
) 减少!
def reduceReads(generated: Seq[Reads[JsObject]]) =
generated.foldLeft(Reads.pure(Json.obj())){
case (acc, r) =>
(acc and r).reduce
}
该解决方案简单明了。最初基于Seq(Reads[JsObject]) => Seq(JsResult[JsObject]) => Reads[JsObject]
映射的想法,但最后基于基本的 Json 组合器原则Seq(Reads[JsObject]) => Reads[JsObject]
一般来说,问题解决了,但任务本身并不正确。如果你不控制Reads,你想看看相同的路径是否会被使用两次?