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DerivedCellDecoder.scala
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DerivedCellDecoder.scala
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/*
* Copyright 2023 Lucas Satabin
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package fs2.data.csv
package generic
package internal
import cats.syntax.all._
import shapeless3.deriving._
import scala.deriving.Mirror
trait DerivedCellDecoder[T] extends CellDecoder[T]
object DerivedCellDecoder {
def expect[T](e: String, r: T): DerivedCellDecoder[T] = (in: String) =>
Either.cond(in == e, r, new DecoderError(s"Expected $e, got $in"))
given deriveUnaryProduct[T <: Product](using
m: Mirror.ProductOf[T] { type MirroredElemTypes <: Any *: EmptyTuple },
ce: CellDecoder[Tuple.Head[m.MirroredElemTypes]]): DerivedCellDecoder[T] = { (in: String) =>
ce(in).map(e => m.fromProduct(Tuple1(e)))
}
inline given deriveCoproduct[T](using m: Mirror.SumOf[T]): DerivedCellDecoder[T] = {
val decoders: List[DerivedCellDecoder[T]] =
summonAsArray[K0.LiftP[DerivedCellDecoder, m.MirroredElemTypes]].toList.asInstanceOf
new DerivedCellDecoder[T] {
def apply(in: String) =
decoders.foldRight(new DecoderError("Didn't match any value").asLeft)(_.apply(in).orElse(_))
}
}
inline given deriveSingleton[T](using cv: CellValue[T], m: Mirror.ProductOf[T]): DerivedCellDecoder[T] =
expect(cv.value, m.fromProduct(EmptyTuple))
}