Reputation: 175
Lets say I have
case class Sample(i:Int, b:Boolean)
and
Map[String, String]("i" => "1", "b" => "false")
What is most concise way to instantiate any case class(if all fields are in map), signature like this:
get[T](map:[String, String]) : T
Probably shapeless can help acomplish this task, but I am almost unfamiliar with it. Thanks!
Upvotes: 3
Views: 516
Reputation: 175
guys. Probably I wasn't too concise. What I really need is Generic parser from Map of Strings to case class. Thanks for pointing out to LabelledGeneric. Here is solution:
import shapeless.labelled.{FieldType, field}
import shapeless.{::, HList, HNil, LabelledGeneric, Lazy, Witness}
object FieldParser {
trait ValParser[A] {
def parse(str:String): A
}
trait FieldParser[A] {
def parse: A
}
type FT[A, B] = FieldType[A, B]
type ListField[K <: Symbol, A] = FieldType[K, List[A]]
type FP[A] = FieldParser[A]
type Args = (List[String],Map[String, Int])
type Named[K <: Symbol] = Witness.Aux[K]
private def create[A](thunk: A): FP[A] = {
new FP[A] {
def parse: A = thunk
}
}
def apply[A](implicit st: Lazy[FP[A]]): FP[A] = st.value
implicit def genericParser[A, R <: HList](implicit generic: LabelledGeneric.Aux[A, R], parser: Lazy[FP[R]], args:Args): FP[A] = {
create(generic.from(parser.value.parse))
}
implicit def hlistParser[K <: Symbol, H, T <: HList](implicit hParser: Lazy[FP[FT[K, H]]], tParser: FP[T]): FP[FT[K, H] :: T] = {
create {
val hv = hParser.value.parse
val tv = tParser.parse
hv :: tv
}
}
implicit def standardTypeParser[K <: Symbol, V:ValParser](implicit named: Named[K], args:Args): FP[FieldType[K, V]] = {
create(field[K](implicitly[ValParser[V]].parse(findArg)))
}
implicit def optionParser[V](implicit valParser:ValParser[V]): ValParser[Option[V]] = new ValParser[Option[V]]{
def parse(str:String):Option[V] = {
str.isEmpty match {
case true => None
case false => Some(valParser.parse(str))
}
}
}
implicit def listParser[V](implicit valParser:ValParser[V]): ValParser[List[V]] = new ValParser[List[V]]{
def parse(str:String):List[V] = {
str.isEmpty match {
case true => Nil
case false => str.split(",").map(valParser.parse).toList
}
}
}
implicit def doubleParser: ValParser[Double] = new ValParser[Double]{
def parse(str:String):Double = str.toDouble
}
implicit def intParser: ValParser[Int] = new ValParser[Int]{
def parse(str:String):Int = str.toInt
}
implicit def strParser: ValParser[String] = new ValParser[String]{
def parse(str:String):String = str
}
implicit def boolParser: ValParser[Boolean] = new ValParser[Boolean]{
def parse(str:String):Boolean = str.toBoolean
}
implicit val hnilParser: FP[HNil] = create(HNil)
private def findArg[K <: Symbol](implicit args:Args, named: Named[K]): String = {
val name = named.value.name
val index = args._2(name)
args._1(index)
}
}
Upvotes: 0
Reputation: 15385
If not using Shapeless is an option for you, you could do it in a simple way without it. Here is a sample implementation where I use the Try Monad and a pattern matching to transform the Map into your case class:
(Try("1".toInt), Try("false".toBoolean)) match {
case (Success(intVal), Success(boolVal)) =>
Sample(intVal, boolVal)
case _ => // Log and ignore the values
}
Of course this is a bit verbose than the Shapeless version, but if you do not want to use a full library just for this simple use case, you could always do it using Scala library!
Upvotes: 1
Reputation: 51658
Firstly you can transform Map[String, String]
into Map[Symbol, Any]
and then use type classes shapeless.ops.maps.FromMap
(or extention method .toRecord
) and LabelledGeneric
:
import shapeless.LabelledGeneric
import shapeless.record.Record
import shapeless.syntax.std.maps._
case class Sample(i: Int, b: Boolean)
val rec = Map('i -> 1, 'b -> false).toRecord[Record.`'i -> Int, 'b -> Boolean`.T].get
LabelledGeneric[Sample].from(rec) //Sample(1,false)
Upvotes: 3