I'm trying to access an implicit parameter for a generic type. Scala is able to find the implicit just fine in the straightforward case by calling a method with an explicit generic type, such as with printGenericType[Person] below.
However, if I create a TypeTag[Person] and pass it to printGenericTypeGivenTypeTag, Scala is unable to find the implicit parameter.
case class Person(name: String)
case class Animal(age: Int)
implicit val p = Person("cory")
implicit val a = Animal(2)
def main(args: Array[String]): Unit = {
// Can find the implicit Person, prints "Hello Person(cory)"
printGenericType[Person]
// Can find the implicit Animal, prints "Hello Animal(2)"
printGenericType[Animal]
// See comment below
printNamedType("Person")
printNamedType("Animal")
}
def printGenericType[T](implicit t: T) = {
println(s"Hello $t")
}
def printGenericTypeGivenTypeTag[T](typeTag: TypeTag[T])(implicit t: T) = {
println(s"Hello $t")
}
def printNamedType[T](name: String) = {
val typetag: TypeTag[T] = getTypeTag[T](name)
// Cannot find the implicit of type T, compiler error
printGenericTypeGivenTypeTag(typetag)
}
def getTypeTag[T](name:String): TypeTag[T] = ... //Implementation irrelevant
If I understand correctly, Scala locates implicit parameters at compile time, so it makes sense that it can't find an implicit parameter for the generic type T at compile time.
However, I know that an implicit instance of T does exist. Is it possible to rewrite printGenericTypeGivenTypeTag in such a way as to find the implicit value for T? At runtime, the method has access to the actual type of T, so it seems it should be able to locate an implicit parameter of the same type that is in scope.
For the curious, the reasoning behind this is to avoid this:
name match {
case "Person" => printGenericType[Person]
case "Animal" => printGenericType[Animal]
}
To answer the question
You're not really wanting to pass the T implicitly, but rather the TypeTag, and not the T. Here's what I mean, and you're probably better off with an implicit value class.
implicit class GenericPrinter[T](val obj: T) extends AnyVal {
def printGenericType()(implicit tag: TypeTag[T]) = {
// do stuff with the tag
Console.println("Hello $obj")
}
}
val x: Person = Person(...)
x.printGenericType
Now solving the real problem
If you are trying to print case classes, I'd probably go down the implicit macro route for added convenience. It's really trivial to write up a macro that does this for us, e.g output a debug string based on all the constructor params of an arbitrary case class.
trait DeepPrinter[T <: Product with Serializable] {
/**
* Prints a deeply nested debug string for a given case class.
* This uses implicit macros to materialise the printer type class.
* In English, when we request for an implicit printer: DeepPrinter[T],
* the pre-defined compile time macro will generate this method for us
* based on the fields of the given case class.
*
* #param sep A separator to use to delimit the rows in a case class.
* #return A fully traced debug string so we can see how a case class looks like.
*/
def debugString(sep: String = "\n"): String
}
object DeepPrinter {
implicit def deepPrinter[T <: Product with Serializable] = macro DeepPrinterImpl.deepPrinterImpl[T]
}
And the macro is pretty trivial, looks kind of like this.
import language.experimental.macros
import scala.reflect.macros.blackbox
#macrocompat.bundle
class DeepPrinterImpl(val c: blackbox.Context) {
import c.universe._
object CaseField {
def unapply(symbol: TermSymbol): Option[(Name, Type)] = {
if (symbol.isVal && symbol.isCaseAccessor) {
Some(symbol.name -> symbol.typeSignature)
} else {
None
}
}
}
def fields(tpe: Type): Iterable[(Name, Type)] = {
tpe.decls.collect { case CaseField(nm, tpeSn) => nm -> tpeSn }
}
def materialize[T : c.WeakTypeTag]: c.Expr[DeepPrinter[T]] = {
val tpe = weakTypeOf[T]
val (names, types) = fields(tpe).unzip
// change the package name to the correct one here!
val tree = q"""
new com.bla.bla.DeepPrinter[$tpe] {
def debugString(sep: String = "\n") = Seq(..$names).mkString(sep)
}
"""
c.Expr[DeepPrinter[T]](tree)
}
}
Related
I'm trying to remove some of the boilerplate in an API I am writing.
Roughly speaking, my API currently looks like this:
def toEither[E <: WrapperBase](priority: Int)(implicit factory: (String, Int) => E): Either[E, T] = {
val either: Either[String, T] = generateEither()
either.left.map(s => factory(s, priority))
}
Which means that the user has to generate an implicit factory for every E used. I am looking to replace this with a macro that gives a nice compile error if the user provided type doesn't have the correct ctor parameters.
I have the following:
object GenericFactory {
def create[T](ctorParams: Any*): T = macro createMacro[T]
def createMacro[T](c: blackbox.Context)(ctorParams: c.Expr[Any]*)(implicit wtt: WeakTypeType[T]): c.Expr[T] = {
import c.universe._
c.Expr[T](q"new $wtt(..$ctorParams)")
}
}
If I provide a real type to this GenericFactory.create[String]("hey") I have no issues, but if I provide a generic type: GenericFactory.create[E]("hey") then I get the following compile error: class type required by E found.
Where have I gone wrong? Or if what I want is NOT possible, is there anything else I can do to reduce the effort for the user?
Sorry but I don't think you can make it work. The problem is that Scala (as Java) uses types erasure. It means that there is only one type for all generics kinds (possibly except for value-type specializations which is not important now). It means that the macro is expanded only once for all E rather then one time for each E specialization provided by the user. And there is no way to express a restriction that some generic type E must have a constructor with a given signature (and if there were - you wouldn't need you macro in the first place). So obviously it can not work because the compiler can't generate a constructor call for a generic type E. So what the compiler says is that for generating a constructor call it needs a real class rather than generic E.
To put it otherwise, macro is not a magic tool. Using macro is just a way to re-write a piece of code early in the compiler processing but then it will be processed by the compiler in a usual way. And what your macro does is rewrites
GenericFactory.create[E]("hey")
with something like
new E("hey")
If you just write that in your code, you'll get the same error (and probably will not be surprised).
I don't think you can avoid using your implicit factory. You probably could modify your macro to generate those implicit factories for valid types but I don't think you can improve the code further.
Update: implicit factory and macro
If you have just one place where you need one type of constructors I think the best you can do (or rather the best I can do ☺) is following:
Sidenote the whole idea comes from "Implicit macros" article
You define StringIntCtor[T] typeclass trait and a macro that would generate it:
import scala.language.experimental.macros
import scala.reflect.macros._
trait StringIntCtor[T] {
def create(s: String, i: Int): T
}
object StringIntCtor {
implicit def implicitCtor[T]: StringIntCtor[T] = macro createMacro[T]
def createMacro[T](c: blackbox.Context)(implicit wtt: c.WeakTypeTag[T]): c.Expr[StringIntCtor[T]] = {
import c.universe._
val targetTypes = List(typeOf[String], typeOf[Int])
def testCtor(ctor: MethodSymbol): Boolean = {
if (ctor.paramLists.size != 1)
false
else {
val types = ctor.paramLists(0).map(sym => sym.typeSignature)
(targetTypes.size == types.size) && targetTypes.zip(types).forall(tp => tp._1 =:= tp._2)
}
}
val ctors = wtt.tpe.decl(c.universe.TermName("<init>"))
if (!ctors.asTerm.alternatives.exists(sym => testCtor(sym.asMethod))) {
c.abort(c.enclosingPosition, s"Type ${wtt.tpe} has no constructor with signature <init>${targetTypes.mkString("(", ", ", ")")}")
}
// Note that using fully qualified names for all types except imported by default are important here
val res = c.Expr[StringIntCtor[T]](
q"""
(new so.macros.StringIntCtor[$wtt] {
override def create(s:String, i: Int): $wtt = new $wtt(s, i)
})
""")
//println(res) // log the macro
res
}
}
You use that trait as
class WrapperBase(val s: String, val i: Int)
case class WrapperChildGood(override val s: String, override val i: Int, val float: Float) extends WrapperBase(s, i) {
def this(s: String, i: Int) = this(s, i, 0f)
}
case class WrapperChildBad(override val s: String, override val i: Int, val float: Float) extends WrapperBase(s, i) {
}
object EitherHelper {
type T = String
import scala.util._
val rnd = new Random(1)
def generateEither(): Either[String, T] = {
if (rnd.nextBoolean()) {
Left("left")
}
else {
Right("right")
}
}
def toEither[E <: WrapperBase](priority: Int)(implicit factory: StringIntCtor[E]): Either[E, T] = {
val either: Either[String, T] = generateEither()
either.left.map(s => factory.create(s, priority))
}
}
So now you can do:
val x1 = EitherHelper.toEither[WrapperChildGood](1)
println(s"x1 = $x1")
val x2 = EitherHelper.toEither[WrapperChildGood](2)
println(s"x2 = $x2")
//val bad = EitherHelper.toEither[WrapperChildBad](3) // compilation error generated by c.abort
and it will print
x1 = Left(WrapperChildGood(left,1,0.0))
x2 = Right(right)
If you have many different places where you want to ensure different constructors exists, you'll need to make the macro much more complicated to generate constructor calls with arbitrary signatures passed from the outside.
Let's say we have the following traits:
trait MyValue
object MyValue {
case class MyBoolean(record: Boolean) extends MyValue
case class MyLong(record: Long) extends MyValue
}
trait MyValueExtractor[T] {
def apply(record: T): Option[MyValue]
}
trait MyThing[T] {
def name: String
def myValueExtractor: MyValueExtractor[T]
def myValue(record: T): Option[MyValue] = myValueExtractor(record)
}
What I want is something like this but without the second type parameter.
Note: I can't actually update the MyThing trait; I'm just using this as an illustration of the intended functionality.
trait MyThing[T, U] {
def name: String
def myValueExtractor: MyValueExtractor[T]
def myValue(record: T): Option[MyValue] = myValueExtractor(record)
def myRelatedValue(record: T): Option[U]
}
I'm wondering if I could use the type class pattern to help solve this (i.e., import some rich class that implicitly gives me a myRelatedValue method)?
Here's the rub. Every time T (above) is MyValue.MyBoolean, U must be a String. Every time T is MyValue.MyLong, U must be a Double. In other words, there's a sort of underlying mapping between T and U.
Is there a good way to do this using type class?
Sure. You just need to define some Mapping typeclass with implementations for your desired pairs of types. Then MyThing can have a method that takes an implicit typeclass instance and simply invokes its method.
Here's the code (I removed the unneeded details)
// types
case class MyBoolean(record: Boolean)
case class MyLong(record: Long)
// trait which uses the Mapping typeclass
trait MyThing[T] {
def myRelatedValue[U](record: T)(implicit ev: Mapping[T, U]): Option[U] = ev.relatedValue(record)
}
// typeclass itself
trait Mapping[T, U] {
def relatedValue(record: T): Option[U]
}
object Mapping {
implicit val boolStringMapping = new Mapping[MyBoolean, String] {
def relatedValue(record: MyBoolean) = Some(record.record.toString)
}
implicit val longDoubleMapping = new Mapping[MyLong, Double] {
def relatedValue(record: MyLong) = Some(record.record)
}
}
// usage
val myBoolThing = new MyThing[MyBoolean] {}
val myLongThing = new MyThing[MyLong] {}
val myStringThing = new MyThing[String] {}
myBoolThing.myRelatedValue(MyBoolean(true)) // Some(true)
myLongThing.myRelatedValue(MyLong(42L)) // Some(42.0)
myStringThing.myRelatedValue("someString") // error: could not find implicit value
Note that e.g. myBoolThing.myRelatedValue(MyBoolean(true)) will yield a type Option[U]. However, since myRelatedValue is parameterized, you can help the compiler and invoke it as myBoolThing.myRelatedValue[String](MyBoolean(true)), in which case you will obtain an Option[String]. If you try something other than String for MyBoolean, you will get an error.
I have different sources and corresponding parameters
Source1, Source2, Source3
Parameter1, Parameter2, Parameter3,
Source: is trait (can be changed)
trait Source[T] {
def get(Parameter)(implicit c: Context): MyData[T]
}
Parameter is also a trait
trait Parameter
I have different OutputType class: T1, T2, T3
I need output as: MyData[OutputType]
Fixed API signature (changes to the signature not quite preferable):
val data1: MyData[T1] = MyAPI.get[T1](Parameter1("a", "b")) // this should give MyData from Source1 of type T1
val data2: MyData[T2] = MyAPI.get[T2](Parameter3(123)) // this should give MyData from Source3 of type T2
Some source supports some output types (say T1, T2), but some may not.
What I did:
I tried using scala reflection typeTag to determine the type at runtime, but since return type will be MyData[T], and is in contra-variant position, it wont know the actual return type. (Why does TypeTag not work for return types?)
e.g.
object MyAPI {
get[T: TypeTag](p: Parameter)(implicit c: Context): MyData[T] = {}
}
I also tried using type-class pattern. Scala TypeTag Reflection returning type T
I can work with different OutputType creating implicit val for each, but would only work for single Source1. I can't manage to work for all sources.
I was trying to do:
object MyAPI {
get[T: SomeConverter](p: Parameter)(implicit c: Context): MyData[T] = {
p match {
case Parameter1 => Source1[T].read(p.asInstanceOf(Parameter1)
case Parameter2 => Source2[T].read(p.asInstanceOf(Parameter2)
}
}
}
Disclaimer: I think I figured out what you want. I'm also learning to design type-safe APIs, so here's one.
Provided variant uses implicits. You have to manually establish mapping between parameter types and results they yield, which may or may not include sources. It does not work on runtime, however, so I also removed common trait Parameter. It also does not impose any restrictions on the Sources at all.
It also "looks" the way you wanted it to look, but it's not exactly that.
case class User(id: Int) // Example result type
// Notice I totally removed any and all relation between different parameter types and sources
// We will rebuild those relations later using implicits
object Param1
case class Param2(id: Int)
case class Param3(key: String, filter: Option[String])
// these objects have kinda different APIs. We will unify them.
// I'm not using MyData[T] because it's completely irrelevant. Types here are Int, User and String
object Source1 {
def getInt = 42
}
object Source2 {
def addFoo(id: Int): Int = id + 0xF00
def getUser(id: Int) = User(id)
}
object Source3 {
def getGoodInt = 0xC0FFEE
}
// Finally, our dark implicit magic starts
// This type will provide a way to give requested result for provided parameter
// and sealedness will prevent user from adding more sources - remove if not needed
sealed trait CanGive[Param, Result] {
def apply(p: Param): Result
}
// Scala will look for implicit CanGive-s in companion object
object CanGive {
private def wrap[P, R](fn: P => R): P CanGive R =
new (P CanGive R) {
override def apply(p: P): R = fn(p)
}
// there three show how you can pass your Context here. I'm using DummyImplicits here as placeholders
implicit def param1ToInt(implicit source: DummyImplicit): CanGive[Param1.type, Int] =
wrap((p: Param1.type) => Source1.getInt)
implicit def param2ToInt(implicit source: DummyImplicit): CanGive[Param2, Int] =
wrap((p: Param2) => Source2.addFoo(p.id))
implicit def param2ToUser(implicit source: DummyImplicit): CanGive[Param2, User] =
wrap((p: Param2) => Source2.getUser(p.id))
implicit val param3ToInt: CanGive[Param3, Int] = wrap((p: Param3) => Source3.getGoodInt)
// This one is completely ad-hoc and doesn't even use the Source3, only parameter
implicit val param3ToString: CanGive[Param3, String] = wrap((p: Param3) => p.filter.map(p.key + ":" + _).getOrElse(p.key))
}
object MyApi {
// We need a get method with two generic parameters: Result type and Parameter type
// We can "curry" type parameters using intermediate class and give it syntax of a function
// by implementing apply method
def get[T] = new _GetImpl[T]
class _GetImpl[Result] {
def apply[Param](p: Param)(implicit ev: Param CanGive Result): Result = ev(p)
}
}
MyApi.get[Int](Param1) // 42: Int
MyApi.get[Int](Param2(5)) // 3845: Int
MyApi.get[User](Param2(1)) // User(1): User
MyApi.get[Int](Param3("Foo", None)) // 12648430: Int
MyApi.get[String](Param3("Text", Some(" read it"))) // Text: read it: String
// The following block doesn't compile
//MyApi.get[User](Param1) // Implicit not found
//MyApi.get[String](Param1) // Implicit not found
//MyApi.get[User](Param3("Slevin", None)) // Implicit not found
//MyApi.get[System](Param2(1)) // Same. Unrelated requested types won't work either
object Main extends App {
sealed trait Parameter
case class Parameter1(n: Int) extends Parameter with Source[Int] {
override def get(p: Parameter): MyData[Int] = MyData(n)
}
case class Parameter2(s: String) extends Parameter with Source[String] {
override def get(p: Parameter): MyData[String] = MyData(s)
}
case class MyData[T](t: T)
trait Source[T] {
def get(p: Parameter): MyData[T]
}
object MyAPI {
def get[T](p: Parameter with Source[T]): MyData[T] = p match {
case p1: Parameter1 => p1.get(p)
case p2: Parameter2 => p2.get(p)
}
}
val data1: MyData[Int] = MyAPI.get(Parameter1(15)) // this should give MyData from Source1 of type T1
val data2: MyData[String] = MyAPI.get(Parameter2("Hello World")) // this should give MyData from Source3 of type T2
println(data1)
println(data2)
}
Does this do what you want?
ScalaFiddle: https://scalafiddle.io/sf/FrjJz75/0
I'm using an implicit macro to generate a typeclass.
trait ColumnType[+A]
object ColumnType {
implicit def materializeColumnType[A <: Product]: ColumnType[A] = macro MappedColumnTypeMacro.materializeColumnType[A]
}
case class MappedColumnTypeMacro(c: Context) {
import c.universe._
def materializeColumnType[A: c.WeakTypeTag]: c.Tree = {
val typeOfA = c.weakTypeOf[A]
val companion = typeOfA.typeSymbol.companion
val applyMethod = findMethod(companion.typeSignature, "apply", typeOfA)
val unapplyMethod = findMethod(companion.typeSignature, "unapply", typeOfA)
val typeOfB = applyMethod.paramLists.head.head.asTerm.typeSignature
q"MappedColumnType[$typeOfA, $typeOfB]($companion.$applyMethod, $companion.$unapplyMethod(_).get)"
}
def findMethod(companionType: Type, name: String, typeOfA: Type) = {
companionType.member(TermName(name)) match {
case method: MethodSymbol if method.paramLists.flatten.length == 1 => method
case _ => c.abort(c.enclosingPosition, s"No matching $name method found on $typeOfA")
}
}
}
def column[A](name: String)(implicit columnType: ColumnType[A]) =
TableColumn[A](tableAlias, name)(columnType)
case class WrappedInt(int: Int)
// This fails
val myColumn = column[WrappedInt]("mycolumn")
The reason it fails is because typeOfA is not being resolved to be WrappedInt. When using whitebox context this is resolved as A and when using blackbox context this is resolved as Nothing
Am I doing something wrong or is there a workaround?
The problem is in the variance annotation - scalac considers ColumnType[Nothing] to be the most specific implicit candidate here, so it's going to infer A in materializeColumnType to Nothing regardless of what A is provided in the invocation of column.
In our macro workshop at flatMap 2014, we explain how to work around the issue: https://github.com/scalamacros/macrology201/commit/78779cc7f565dde003fe0da9e5357821b009917b.
Just when I thought I understood the basics of Scala's type system... :/
I'm trying to implement a class that reads the contents of a file and outputs a set of records. A record might be a single line, but it could also be a block of bytes, or anything. So what I'm after is a structure that allows the type of Reader to imply the type of the Record, which in turn will imply the correct Parser to use.
This structure works as long as MainApp.records(f) only returns one type of Reader. As soon as it can return more, I get this error:
could not find implicit value for parameter parser
I think the problem lies with the typed trait definitions at the top, but I cannot figure out how to fix the issue...
// Core traits
trait Record[T]
trait Reader[T] extends Iterable[Record[T]]
trait Parser[T] {
def parse(r: Record[T]): Option[Int]
}
// Concrete implementations
class LineRecord[T] extends Record[T]
class FileReader[T](f:File) extends Reader[T] {
val lines = Source.fromFile(f).getLines()
def iterator: Iterator[LineRecord[T]] =
new Iterator[LineRecord[T]] {
def next() = new LineRecord[T]
def hasNext = lines.hasNext
}
}
trait TypeA
object TypeA {
implicit object TypeAParser extends Parser[TypeA] {
def parse(r: Record[TypeA]): Option[Int] = ???
}
}
trait TypeB
object TypeB {
implicit object TypeBParser extends Parser[TypeB] {
def parse(r: Record[TypeB]): Option[Int] = ???
}
}
// The "app"
object MainApp {
def process(f: File) =
records(f) foreach { r => parse(r) }
def records(f: File) = {
if(true)
new FileReader[TypeA](f)
else
new FileReader[TypeB](f)
}
def parse[T](r: Record[T])(implicit parser: Parser[T]): Option[Int] =
parser.parse(r)
}
First off you must import the implicit object in order to use them:
import TypeA._
import TypeB._
That's not enough though. It seems like you're trying to apply implicits dynamically. That's not possible; they have to be found compile time.
If you import the objects as above and change the records so that the compiler finds the correct generic it will run fine:
def records(f: File) = new FileReader[TypeA](f)
But then it may not be what you were looking for ;)
The problem is that the return type of your records method is basically FileReader[_] (since it can return either FileReader[TypeA] or FileReader[TypeB]), and you don't provide an implicit argument of type Parser[Any]. If you remove the if-expression the return type is inferred to FileReader[TypeA], which works fine. I'm not sure what you're trying to do, but obviously the compiler can't select implicit argument based upon a type that is only known at runtime.
1) Using type with implicit inside as type parameter - doesn't bind this implicit to the host type, to do this change objects to the traits and mix them instead of generalizing (type-parametrizing):
def records(f: File) = {
if(true)
new FileReader(f) with TypeA
else
new FileReader(f) with TypeB
}
2) The parser should be in scope of function that calls parse. So you may try smthg like that:
def process(f: File) = {
val reader = records(f);
import reader._
reader foreach { r => parse(r) }
}
PlanB) Simpler alternative is to define type-parameter specific implicit methods inside the AppMain (or some trait mixed in), but it will work only if TypeA/TypeB is known on compile time, so records method can return concrete type:
implicit class TypeAParser(r: Record[TypeA]) {
def parse: Option[Int] = ???
}
implicit class TypeBParser(r: Record[TypeB]) {
def parse: Option[Int] = ???
}
def process[T <: TypeAorB](f: File) =
records[T](f).foreach(_.parse)
def recordsA[T <: TypeAorB](f: File) = new FileReader[T](f)
Here is, I think, the full set of modifications you need to do to get where I think you want to go.
import scala.io.Source
import java.io.File
import reflect.runtime.universe._
// Core traits
trait Record[+T]
trait Reader[+T] extends Iterable[Record[T]]
trait Parser[-T] {
def parse(r: Record[T]): Option[Int]
}
// Concrete implementations [unmodified]
class LineRecord[T] extends Record[T]
class FileReader[T](f:File) extends Reader[T] {
val lines = Source.fromFile(f).getLines()
def iterator: Iterator[LineRecord[T]] =
new Iterator[LineRecord[T]] {
def next() = new LineRecord[T]
def hasNext = lines.hasNext
}
}
sealed trait Alternatives
case class TypeA() extends Alternatives
object TypeA {
implicit object TypeAParser extends Parser[TypeA] {
def parse(r: Record[TypeA]): Option[Int] = ???
}
}
case class TypeB() extends Alternatives
object TypeB {
implicit object TypeBParser extends Parser[TypeB] {
def parse(r: Record[TypeB]): Option[Int] = ???
}
}
class ParseAlternator(parserA: Parser[TypeA], parserB: Parser[TypeB]) extends Parser[Alternatives] {
def parse(r: Record[Alternatives]): Option[Int] = r match {
case x: Record[TypeA #unchecked] if typeOf[Alternatives] =:= typeOf[TypeA] => parserA.parse(x)
case x: Record[TypeB #unchecked] if typeOf[Alternatives] =:= typeOf[TypeB] => parserB.parse(x)
}
}
object ParseAlternator {
implicit def parseAlternator(implicit parserA: Parser[TypeA], parserB: Parser[TypeB]): Parser[Alternatives] = new ParseAlternator(parserA, parserB)
}
// The "app"
object MainApp {
import ParseAlternator._
def process(f: File) =
records(f) foreach { r => parse(r) }
def records(f: File): Reader[Alternatives] = {
if(true)
new FileReader[TypeA](f)
else
new FileReader[TypeB](f)
}
def parse[T](r: Record[T])(implicit parser: Parser[T]): Option[Int] =
parser.parse(r)
}
The gist of it is: all of this would be completely classsical if only your parse instance did not have to pattern-match on a generic type but dealt directly with an Alternative instead.
It's this limitation (inherited from the JVM) that scala can't properly pattern-match on an object of a parametric type that requires the reflection & typeOf usage. Without it, you would just have type alternatives for your content (TypeA, TypeB), which you would add to a sealed trait, and which you would dispatch on, in an implicit that produces a Parser for their supertype.
Of course this isn't the only solution, it's just what I think is the meeting point of what's closest to what you're trying to do, with what's most idiomatic.