# Elminator Generate Elm type definitions and JSON encoders/decoders from Haskell source (for Elm 0.19 and 0.18) 1. Supports generation of polymorphic types (as well as concrete ones) in Elm from possibly polymorphic Haskell types, including types with phantom type variables. 2. Supports generation of recursively defined types. 3. Generates code that does not depend on external Elm libraries. 4. Does not have limits on the number of fields that the constructors of your type can have. 5. Supports JSON encoding options exported by the Aeson library comprehensively (The tests exhaustively check the Elm/Haskell round tripping of values for all possible configurations of Aeson.options) 6. Supports generation of code that depend on user defined types and encoders/decoders in Elm. ### How to use? To generate Elm code for a Haskell type, the Haskell type needs to have an instance of the `ToHType` type class. This can be automatically derived, provided all your constructor field types have `ToHType` instances. A sample can be seen below. Please note that language extensions `DeriveGeneric` and `DeriveAnyClass` should be enabled to make this work. ```haskell {-# Language DeriveGeneric #-} {-# Language DeriveAnyClass #-} module Lib where import Elminator import GHC.Generics (Generic) data SingleCon = SingleCon Int String deriving (Generic, ToHType) ``` Since this library uses template Haskell to look up type information (in addition to Generics), we need to run the code generation code in a template Haskell splice. A usage sample can be seen in the following code used in the round trip tests for this library. ```haskell {-# Language OverloadedStrings #-} {-# Language TemplateHaskell #-} module CodeGen where import Data.Proxy import Elminator import Data.Text.IO import Data.Text import Lib elmSource :: Text elmSource = $(generateFor Elm0p19 myDefaultOptions "Autogen" (Just "./elm-app/src/Autogen.elm") $ do include (Proxy :: Proxy SingleCon) $ Everything Mono include (Proxy :: Proxy SingleRecCon) $ Everything Mono include (Proxy :: Proxy SingleConOneField) $ Everything Mono include (Proxy :: Proxy SingleRecConOneField) $ Everything Mono include (Proxy :: Proxy TwoCons) $ Everything Mono include (Proxy :: Proxy TwoRecCons) $ Everything Mono include (Proxy :: Proxy BigCon) $ Everything Mono include (Proxy :: Proxy BigRecCon) $ Everything Mono include (Proxy :: Proxy MixedCons) $ Everything Mono include (Proxy :: Proxy Comment) $ Everything Mono include (Proxy :: Proxy WithMaybes) $ Everything Mono include (Proxy :: Proxy WithSimpleMaybes) $ Everything Mono include (Proxy :: Proxy (WithMaybesPoly (Maybe String) Float)) $ Definiton Poly include (Proxy :: Proxy (WithMaybesPoly (Maybe String) Float)) EncoderDecoder include (Proxy :: Proxy (Phantom ())) $ Everything Poly include (Proxy :: Proxy (TypeWithPhantom Float)) $ Everything Poly include (Proxy :: Proxy RecWithList) $ Everything Mono include (Proxy :: Proxy IndRecStart) $ Everything Mono include (Proxy :: Proxy IndRec2) $ Everything Mono include (Proxy :: Proxy IndRec3) $ Everything Mono include (Proxy :: Proxy NTSingleCon) $ Everything Mono include (Proxy :: Proxy NTSingleCon2) $ Everything Poly include (Proxy :: Proxy Tuples) $ Everything Mono include (Proxy :: Proxy NestedTuples) $ Everything Mono include (Proxy :: Proxy (NestedTuplesPoly ())) $ Definiton Poly include (Proxy :: Proxy (TypeWithExt ())) $ Everything Poly include (Proxy :: Proxy (WithEmptyTuple ())) $ Everything Poly include (Proxy :: Proxy (Phantom2 ())) $ Everything Poly include (Proxy :: Proxy PhantomWrapper) $ Everything Poly) -- The `generateFor` function accepts an elm version (Elm0p19 or Elm0p18), a value of type `Options` from the Aeson library -- , a module name for the generated module, and an optional `FilePath` to which the generated source will be written to, and a `Builder` value. -- The `Builder` is just a `State` monad that aggregates the configuration parameters from the include -- calls. The first parameter of the include function is a `proxy` value that denotes the type that requires Elm code generation. -- The second value is a value of type `GenOption` that selects which entities needs to be generation, and also selects if the -- type generated at Elm should be polymorphic. It is defined as follows. data GenOption = Definiton PolyConfig -- Generate Type definition in Elm. PolyConfig field decides if the type has to be polymorphic | EncoderDecoder -- Generate Encoder and Decoder in Elm | Everything PolyConfig -- Generate both type definition, encoders and decoders. PolyConfig field decides if the type has to be polymorphic. data PolyConfig = Mono | Poly ``` A sample of generated Elm code can be seen [here](https://bitbucket.org/sras/elminator-test/src/master/elm-app/src/Autogen.elm) ### How to explicitly map a Haskell type to an Elm type Say you have this type defined in Haskell ``` data Product = Product { pName :: String, pWeight :: Decimal } ``` We can derive `ToHType` for the above type just fine. This is because we have this general ToHType instance that use the `Typeable` instances to create primitive type representation. ``` instance {-# OVERLAPPABLE #-} (Typeable a) => ToHType a where toHType p = pure $ mkHType p ``` Even though we are able to derive HType instance, the generated code end up looking something like the following ``` type Product = Product { pName : String, pWeight : DecimalRaw } encodeProduct : Product -> E.Value encodeProduct a = case a of Product x -> E.object ([ ("pName", E.string (x.pName)) , ("pWeight", encodeDecimalRaw (x.pWeight))]) decodeProduct : D.Decoder Product decodeProduct = D.oneOf ([ let mkProduct a1 a2 = Product ({pName = a1, pWeight = a2}) in D.map2 (mkProduct) (D.field ("pName") (D.string)) (D.field ("pWeight") (encodeDecimalRaw))]) ``` But there is no `DecimalRaw` type on the Elm side. So in this case, we might want to use `Float` on Elm side whenever we have a `Decimal` field in Haskell. This can be done as follows ``` instance ToHType Decimal where toHType _ = toHType (Proxy :: Proxy Float) ``` This gives us usable Elm code. ``` type Product = Product { pName : String, pWeight : Float } encodeProduct : Product -> E.Value encodeProduct a = case a of Product x -> E.object ([ ("pName", E.string (x.pName)) , ("pWeight", E.float (x.pWeight))]) decodeProduct : D.Decoder Product decodeProduct = D.oneOf ([ let mkProduct a1 a2 = Product ({pName = a1, pWeight = a2}) in D.map2 (mkProduct) (D.field ("pName") (D.string)) (D.field ("pWeight") (D.float))]) ``` Note that this only works if both types have compatible JSON representations. The Aeson instances should take care of this on the Haskell side. ### Tests This is being tested by round tripping a bunch of JSON encoded values from an Elm front end to a Haskell back end, where it is decoded and sent back to Elm where it is again decoded and checked for equality with the value that was initially sent. These right now, are in the form of a quick hack Python script that makes the Haskell builds and auto generated Elm source for all possible values of Aeson.Options and testing the round tripping of included types using a headless Chromium browser. The test repo is separate for now and is available at https://bitbucket.org/sras/elminator-test. ### Installing If you are using the Stack tool, then for the time being, you have to add Elminator to the 'extra-deps' section of stack.yaml as follows (Please use the latest available version here). ```yaml extra-deps: elminator-0.2.1.0 ```