76
votes

Is there a nice way I can convert a Scala case class instance, e.g.

case class MyClass(param1: String, param2: String)
val x = MyClass("hello", "world")

into a mapping of some kind, e.g.

getCCParams(x) returns "param1" -> "hello", "param2" -> "world"

Which works for any case class, not just predefined ones. I've found you can pull the case class name out by writing a method that interrogates the underlying Product class, e.g.

def getCCName(caseobj: Product) = caseobj.productPrefix 
getCCName(x) returns "MyClass"

So I'm looking for a similar solution but for the case class fields. I'd imagine a solution might have to use Java reflection, but I'd hate to write something that might break in a future release of Scala if the underlying implementation of case classes changes.

Currently I'm working on a Scala server and defining the protocol and all its messages and exceptions using case classes, as they are such a beautiful, concise construct for this. But I then need to translate them into a Java map to send over the messaging layer for any client implementation to use. My current implementation just defines a translation for each case class separately, but it would be nice to find a generalised solution.

11
I found this blog post that shows how to use macros to do this.Giovanni Botta

11 Answers

95
votes

This should work:

def getCCParams(cc: AnyRef) =
  cc.getClass.getDeclaredFields.foldLeft(Map.empty[String, Any]) { (a, f) =>
    f.setAccessible(true)
    a + (f.getName -> f.get(cc))
  }
43
votes

Because case classes extend Product one can simply use .productIterator to get field values:

def getCCParams(cc: Product) = cc.getClass.getDeclaredFields.map( _.getName ) // all field names
                .zip( cc.productIterator.to ).toMap // zipped with all values

Or alternatively:

def getCCParams(cc: Product) = {          
      val values = cc.productIterator
      cc.getClass.getDeclaredFields.map( _.getName -> values.next ).toMap
}

One advantage of Product is that you don't need to call setAccessible on the field to read its value. Another is that productIterator doesn't use reflection.

Note that this example works with simple case classes that don't extend other classes and don't declare fields outside the constructor.

23
votes

Starting Scala 2.13, case classes (as implementations of Product) are provided with a productElementNames method which returns an iterator over their field's names.

By zipping field names with field values obtained with productIterator we can generically obtain the associated Map:

// case class MyClass(param1: String, param2: String)
// val x = MyClass("hello", "world")
(x.productElementNames zip x.productIterator).toMap
// Map[String,Any] = Map("param1" -> "hello", "param2" -> "world")
12
votes

If anybody looks for a recursive version, here is the modification of @Andrejs's solution:

def getCCParams(cc: Product): Map[String, Any] = {
  val values = cc.productIterator
  cc.getClass.getDeclaredFields.map {
    _.getName -> (values.next() match {
      case p: Product if p.productArity > 0 => getCCParams(p)
      case x => x
    })
  }.toMap
}

It also expands the nested case-classes into maps at any level of nesting.

6
votes

Here's a simple variation if you don't care about making it a generic function:

case class Person(name:String, age:Int)

def personToMap(person: Person): Map[String, Any] = {
  val fieldNames = person.getClass.getDeclaredFields.map(_.getName)
  val vals = Person.unapply(person).get.productIterator.toSeq
  fieldNames.zip(vals).toMap
}

scala> println(personToMap(Person("Tom", 50)))
res02: scala.collection.immutable.Map[String,Any] = Map(name -> Tom, age -> 50)
4
votes

Solution with ProductCompletion from interpreter package:

import tools.nsc.interpreter.ProductCompletion

def getCCParams(cc: Product) = {
  val pc = new ProductCompletion(cc)
  pc.caseNames.zip(pc.caseFields).toMap
}
4
votes

You could use shapeless.

Let

case class X(a: Boolean, b: String,c:Int)
case class Y(a: String, b: String)

Define a LabelledGeneric representation

import shapeless._
import shapeless.ops.product._
import shapeless.syntax.std.product._
object X {
  implicit val lgenX = LabelledGeneric[X]
}
object Y {
  implicit val lgenY = LabelledGeneric[Y]
}

Define two typeclasses to provide the toMap methods

object ToMapImplicits {

  implicit class ToMapOps[A <: Product](val a: A)
    extends AnyVal {
    def mkMapAny(implicit toMap: ToMap.Aux[A, Symbol, Any]): Map[String, Any] =
      a.toMap[Symbol, Any]
        .map { case (k: Symbol, v) => k.name -> v }
  }

  implicit class ToMapOps2[A <: Product](val a: A)
    extends AnyVal {
    def mkMapString(implicit toMap: ToMap.Aux[A, Symbol, Any]): Map[String, String] =
      a.toMap[Symbol, Any]
        .map { case (k: Symbol, v) => k.name -> v.toString }
  }
}

Then you can use it like this.

object Run  extends App {
  import ToMapImplicits._
  val x: X = X(true, "bike",26)
  val y: Y = Y("first", "second")
  val anyMapX: Map[String, Any] = x.mkMapAny
  val anyMapY: Map[String, Any] = y.mkMapAny
  println("anyMapX = " + anyMapX)
  println("anyMapY = " + anyMapY)

  val stringMapX: Map[String, String] = x.mkMapString
  val stringMapY: Map[String, String] = y.mkMapString
  println("anyMapX = " + anyMapX)
  println("anyMapY = " + anyMapY)
}

which prints

anyMapX = Map(c -> 26, b -> bike, a -> true)

anyMapY = Map(b -> second, a -> first)

stringMapX = Map(c -> 26, b -> bike, a -> true)

stringMapY = Map(b -> second, a -> first)

For nested case classes, (thus nested maps) check another answer

4
votes

If you happen to be using Json4s, you could do the following:

import org.json4s.{Extraction, _}

case class MyClass(param1: String, param2: String)
val x = MyClass("hello", "world")

Extraction.decompose(x)(DefaultFormats).values.asInstanceOf[Map[String,String]]
2
votes

I don't know about nice... but this seems to work, at least for this very very basic example. It probably needs some work but might be enough to get you started? Basically it filters out all "known" methods from a case class (or any other class :/ )

object CaseMappingTest {
  case class MyCase(a: String, b: Int)

  def caseClassToMap(obj: AnyRef) = {
    val c = obj.getClass
    val predefined = List("$tag", "productArity", "productPrefix", "hashCode",
                          "toString")
    val casemethods = c.getMethods.toList.filter{
      n =>
        (n.getParameterTypes.size == 0) &&
        (n.getDeclaringClass == c) &&
        (! predefined.exists(_ == n.getName))

    }
    val values = casemethods.map(_.invoke(obj, null))
    casemethods.map(_.getName).zip(values).foldLeft(Map[String, Any]())(_+_)
  }

  def main(args: Array[String]) {
    println(caseClassToMap(MyCase("foo", 1)))
    // prints: Map(a -> foo, b -> 1)
  }
}
2
votes
commons.mapper.Mappers.Mappers.beanToMap(caseClassBean)

Details: https://github.com/hank-whu/common4s

0
votes

With the use of Java reflection, but no change of access level. Converts Product and case class to Map[String, String]:

def productToMap[T <: Product](obj: T, prefix: String): Map[String, String] = {
  val clazz = obj.getClass
  val fields = clazz.getDeclaredFields.map(_.getName).toSet
  val methods = clazz.getDeclaredMethods.filter(method => fields.contains(method.getName))
  methods.foldLeft(Map[String, String]()) { case (acc, method) =>
    val value = method.invoke(obj).toString
    val key = if (prefix.isEmpty) method.getName else s"${prefix}_${method.getName}"
    acc + (key -> value)
  }
}