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Haskell Type Reflection Anti-pattern

Gautier DI FOLCO October 15, 2023 [dev] #haskell #design

Few days ago I was mob programming with my teammates, we had to write some tests for an Event Sourcing Projection which use legacy events to produce new events.

Our tests are running against an in-memory event store which represents events as follows:

import Type.Reflection

data StoredEvent
  = forall a. (Typeable a) => StoredEvent (TypeRep a) a

mkStoredEvent :: (Typeable a) => a -> StoredEvent
mkStoredEvent x = StoredEvent (typeOf x) x

our business events have this form:

data TimerEvent
  = Started
  | Ended
  deriving stock (Eq, Show, Typeable)

data MediaEvent
  = Played
  | Stopped
  deriving stock (Eq, Show, Typeable)

in addition of that, we have dedicated types to enrich them:

data WithMeta a = WithMeta
  { time :: String,
    value :: a
  }
  deriving stock (Eq, Show)

The goal of the test was to check that, for some legacy events, new events are correct.

This issue is that our event store does not give type-level information on the event type, which means we need a way to decode them.

Another concern regarding WithMeta, which should be removed when not required.

It should behave as follows:

describe "Working" $ do
  it "Meta Timer in Meta Timer" $
    decodeInline (mkStoredEvent $ WithMeta "Sun" Started) `shouldBe` Just (WithMeta "Sun" Started)
  it "Timer in Meta Timer" $
    decodeInline (mkStoredEvent $ WithMeta "Sun" Started) `shouldBe` Just Started
  it "Timer in Timer" $
    decodeInline (mkStoredEvent Started) `shouldBe` Just Started
describe "Not working" $ do
  it "Meta Timer in Meta Media" $
    decodeInline (mkStoredEvent $ WithMeta "Sun" Played) `shouldBe` Nothing @(WithMeta TimerEvent)
  it "Timer in Meta Media" $
    decodeInline (mkStoredEvent $ WithMeta "Sun" Played) `shouldBe` Nothing @TimerEvent
  it "Timer in Media" $
    decodeInline (mkStoredEvent Played) `shouldBe` Nothing @TimerEvent

By default, Haskell does not let you access to type information at runtime, we have to rely on Typeable.

The base function is defined as follows:

decodeFinal :: forall event content. (Typeable event) => TypeRep content -> content -> Maybe event
decodeFinal cTypeRep cPayload =
  case eqTypeRep cTypeRep (typeRep @event) of
    Just HRefl -> Just cPayload
    Nothing -> Nothing

The magic comes from eqTypeRep which compares TypeRep a and TypeRep b, and if they match emits Just HRefl which, once match, implies a ~ b.

Then we do something I find bad:

decodeInline :: forall event. (Typeable event) => StoredEvent -> Maybe event
decodeInline (StoredEvent eTypeRep ePayload) =
  decodeFinal eTypeRep ePayload <|> unwrapWithMeta
  where
    unwrapWithMeta :: Maybe event
    unwrapWithMeta =
      case eTypeRep of
        App wrapperType wrappedType
          | Just HRefl <- eqTypeRep wrapperType (typeRep @WithMeta) ->
              decodeFinal wrappedType ePayload.value
        _ -> Nothing

It works as follows: try to directly match types, or unwrap WithMeta and try again (regardless event is WithMeta a or not).

So, not only you might do extra work, but you'll be forced to add some code here for each new wrapping types.

Above all, I think dynamically (via reflection) changing the behavior breaks the ability to reason from type signatures, it should be avoided, there are no excuses here, as we have this information at Type-Level.

An alternative approach would be to define a type class:

class Decodable event where
  decodeClass :: StoredEvent -> Maybe event

and finally few instances:

instance {-# OVERLAPPABLE #-} (Typeable event) => Decodable event where
  decodeClass stored@(StoredEvent eTypeRep ePayload) =
    decodeFinal eTypeRep ePayload <|> (value <$> decodeClass stored)

instance (Typeable event) => Decodable (WithMeta event) where
  decodeClass (StoredEvent eTypeRep ePayload) =
    decodeFinal eTypeRep ePayload

The usage of OVERLAPPABLE is not great, but at least it simplifies the code and allows extensibility.

Note: usually I prefer to have Type-Level information regarding which kind of events I'm dealing with. Moreover, I would rely on production serialisation (e.g. json, avro, etc.)

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