consider i have a json as following:
{
"a": "aa",
"b": "bb",
"c": "cc",
"d": "dd", // unknown in advance
"e": { //unknown in advance
"aa": "aa"
}
}
i know for sure that the json will contain a,b,c but i've no idea what other fields this json may contain.
i want to serialize this JSON into a case class containing a,b,c but on the other hand not to lose the other fields (save them in a map so the class will be deserialized to the same json as received).
ideas?
One option is to capture the "unknown" fields in a Map[String,JsValue]
, from which you can later extract values if you need them.
case class MyClass(a: String, b: String, c: String, extra: Map[String, JsValue])
implicit val reads: Reads[MyClass] = (
(__ \ "a").read[String] and
(__ \ "b").read[String] and
(__ \ "c").read[String] and
__.read[Map[String, JsValue]]
.map(_.filterKeys(k => !Seq("a", "b", "c").contains(k)))
)(MyClass.apply _)
// Result:
// MyClass(aa,bb,cc,Map(e -> {"aa":"aa"}, d -> "dd"))
Likewise, you can do a Writes
or a Format
like so:
// And a writes...
implicit val writes: Writes[MyClass] = (
(__ \ "a").write[String] and
(__ \ "b").write[String] and
(__ \ "c").write[String] and
__.write[Map[String, JsValue]]
)(unlift(MyClass.unapply _))
// Or combine the two...
implicit val format: Format[MyClass] = (
(__ \ "a").format[String] and
(__ \ "b").format[String] and
(__ \ "c").format[String] and
__.format[Map[String, JsValue]](Reads
.map[JsValue].map(_.filterKeys(k => !Seq("a", "b", "c").contains(k))))
)(MyClass.apply, unlift(MyClass.unapply))
Note: it looks a bit confusing because you give the format
for Map[String,JsValue]
an explicit Reads
as an argument (Reads.map
), which you then transform (using the .map
method) to remove the already-captures values.