0

I have a very complicated JSON file that looks like this:

       {
            "Animals": [
                [
                    100,
                    "Mammals",
                    [
                        1,
                        "Cat",
                        50,
                        45,
                        57,
                        -1
                    ],
                    [
                        2,
                        "Dog",
                        31,
                        44,
                        18,
                        -1
                    ]
                ],
    [
                159,
                "Reptiles",
                [
                    1,
                    "Lizard",
                    11,
                    12,
                    9,
                    -1
                ]
            ]
]
    }

I am attempting to parse this structure and somehow get scala objects out of it.

Here was my attempt:

case class Facts(number: Int, subTypeOfAnimal: String, data: List[Int])

case class Animaltype(value: Int, typeOfAnimal: String, characteristics: List[Facts])

case class Animal(rows: List[Animaltype])

This, of course, fails to convert the data. It returns a JNothing. I am wondering how I can express complex JArrays within JArrays of this kind properly.

Any help would be useful

Thanks!

1 Answer 1

2

You can define CustomSerializers for Facts and AnimalType.

import scala.util.Try

import org.json4s._
import org.json4s.JsonDSL._
import org.json4s.native.JsonMethods._
import org.json4s.native.Serialization

case class Facts(number: Int, subTypeOfAnimal: String, data: List[Int])
case class AnimalType(value: Int, typeOfAnimal: String, characteristics: List[Facts])
case class Animal(Animals: List[AnimalType])

implicit val formats = Serialization.formats(NoTypeHints) + 
  new AnimalTypeSerializer + new FactsSerializer

class FactsSerializer extends CustomSerializer[Facts](format => ( {
  case JArray(JInt(nr) :: JString(subType) :: data) => 
    Facts(nr.toInt, subType, data.collect{ case JInt(i) => i.toInt})
}, { case _ => throw new RuntimeException("No serializing")}))

class AnimalTypeSerializer extends CustomSerializer[AnimalType](format => ( {
  case JArray(JInt(value) :: JString(typeAnimal) :: factsArrays) => 
    val facts = factsArrays.collect { case facts: JArray => 
      Try(facts.extract[Facts]).toOption
    }.flatten
    AnimalType(value.toInt, typeAnimal, facts)
}, { case _ => throw new RuntimeException("No serializing")}))

If you take your input json as the value json you can deserialize it with :

parse(json).extract[Animal]
// Animal = Animal(List(
//   AnimalType(100,Mammals,List(
//     Facts(1,Cat,List(50, 45, 57, -1)), Facts(2,Dog,List(31, 44, 18, -1))
//   )),
//   AnimalType(159,Reptiles,List(
//     Facts(1,Lizard,List(11, 12, 9, -1))
//   ))
// ))
Sign up to request clarification or add additional context in comments.

1 Comment

This is perfect! Thanks a lot!

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.