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import scala.deriving.Mirror.ProductOf | |
object Decoder { | |
type Row = List[String] | |
extension (row: Row) | |
def as[T](using p: ProductOf[T], d: RowDecoder[p.MirroredElemTypes]): T = | |
p.fromProduct(d.decode(row)) | |
trait RowDecoder[A]: | |
def decode(a: Decoder.Row): A | |
trait FieldDecoder[A]: | |
def decodeField(a: String): A | |
private def csvToProduct[P](row: Row)(using p: ProductOf[P], d: RowDecoder[p.MirroredElemTypes]): P = row.as[P] | |
given RowDecoder[EmptyTuple] with | |
def decode(a: Row): EmptyTuple = EmptyTuple | |
given FieldDecoder[Int] with | |
def decodeField(x: String): Int = x.toInt | |
given FieldDecoder[Boolean] with | |
def decodeField(x: String): Boolean = x.toBoolean | |
given FieldDecoder[String] with | |
def decodeField(x: String): String = x | |
given FieldDecoder[BigDecimal] with | |
def decodeField(x: String): BigDecimal = BigDecimal(x) | |
given FieldDecoder[Double] with | |
def decodeField(x: String): Double = x.toDouble | |
given decodeLine[H: FieldDecoder, T <: Tuple : RowDecoder]: RowDecoder[H *: T] with | |
def decode(row: Row): H *: T = { | |
val line = if (row.nonEmpty) row else List("") | |
summon[FieldDecoder[H]].decodeField(line.head) | |
*: | |
summon[RowDecoder[T]].decode(line.tail) | |
} | |
def main(args: Array[String]): Unit = { | |
case class Foo(i: Int, b: Boolean, s: String) | |
import Decoder.* | |
val foo = csvToProduct[Foo](List("42", "true", "Hello")) | |
//val sp500 = csvToProduct[Sp500Divdend](List("1900.01", "6.10", "0.22")) | |
println(foo) | |
} | |
} |
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