# Morpheus GraphQL [![Hackage](https://img.shields.io/hackage/v/morpheus-graphql.svg)](https://hackage.haskell.org/package/morpheus-graphql) [![CircleCI](https://circleci.com/gh/morpheusgraphql/morpheus-graphql.svg?style=svg)](https://circleci.com/gh/morpheusgraphql/morpheus-graphql) Build GraphQL APIs with your favourite functional language! Morpheus GraphQL (Server & Client) helps you to build GraphQL APIs in Haskell with native Haskell types. Morpheus will convert your Haskell types to a GraphQL schema and all your resolvers are just native Haskell functions. Mopheus GraphQL can also convert your GraphQL Schema or Query to Haskell types and validate them in compile time. Morpheus is still in an early stage of development, so any feedback is more than welcome, and we appreciate any contribution! Just open an issue here on GitHub, or join [our Slack channel](https://morpheus-graphql-slack-invite.herokuapp.com/) to get in touch. ## Getting Started ### Setup To get started with Morpheus, you first need to add it to your project's dependencies, as follows (assuming you're using hpack): _package.yml_ ```yaml dependencies: - morpheus-graphql ``` Additionally, you should tell stack which version to pick: _stack.yml_ ```yaml resolver: lts-14.8 extra-deps: - morpheus-graphql-0.9.1 ``` As Morpheus is quite new, make sure stack can find morpheus-graphql by running `stack upgrade` and `stack update` ### Building your first GraphQL API ### with GraphQL syntax _schema.gql_ ```gql type Query { deity(name: String!): Deity! } """ Description for Deity """ type Deity { """ Description for name """ name: String! power: String String! @deprecated(reason: "some reason for") } ``` _API.hs_ ```haskell {-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE FlexibleContexts #-} {-# LANGUAGE FlexibleInstances #-} {-# LANGUAGE MultiParamTypeClasses #-} {-# LANGUAGE NamedFieldPuns #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE ScopedTypeVariables #-} {-# LANGUAGE TemplateHaskell #-} {-# LANGUAGE TypeFamilies #-} module API (api) where import qualified Data.ByteString.Lazy.Char8 as B import Data.Morpheus (interpreter) import Data.Morpheus.Document (importGQLDocumentWithNamespace) import Data.Morpheus.Types (GQLRootResolver (..), IORes) import Data.Text (Text) importGQLDocumentWithNamespace "schema.gql" rootResolver :: GQLRootResolver IO () Query Undefined Undefined rootResolver = GQLRootResolver { queryResolver = Query {queryDeity}, mutationResolver = Undefined, subscriptionResolver = Undefined } where queryDeity QueryDeityArgs {queryDeityArgsName} = pure Deity { deityName = pure "Morpheus" , deityPower = pure (Just "Shapeshifting") } api :: ByteString -> IO ByteString api = interpreter rootResolver ``` Template Haskell Generates types: `Query` , `Deity`, `DeityArgs`, that can be used by `rootResolver` `descriptions` and `deprecations` will be displayed in introspection. `importGQLDocumentWithNamespace` will generate Types with namespaced fields. If you don't need napespacing use `importGQLDocument` ### with Native Haskell Types To define a GraphQL API with Morpheus we start by defining the API Schema as a native Haskell data type, which derives the `Generic` typeclass. Lazily resolvable fields on this `Query` type are defined via `a -> IORes b`, representing resolving a set of arguments `a` to a concrete value `b`. ```haskell data Query m = Query { deity :: DeityArgs -> m Deity } deriving (Generic, GQLType) data Deity = Deity { fullName :: Text -- Non-Nullable Field , power :: Maybe Text -- Nullable Field } deriving (Generic,GQLType) data DeityArgs = DeityArgs { name :: Text -- Required Argument , mythology :: Maybe Text -- Optional Argument } deriving (Generic) ``` For each field in the `Query` type defined via `a -> m b` (like `deity`) we will define a resolver implementation that provides the values during runtime by referring to some data source, e.g. a database or another API. Fields that are defined without `a -> m b` you can just provide a value. In above example, the field of `DeityArgs` could also be named using reserved identities (such as: `type`, `where`, etc), in order to avoid conflict, a prime symbol (`'`) must be attached. For example, you can have: ```haskell data DeityArgs = DeityArgs { name :: Text -- Required Argument , mythology :: Maybe Text -- Optional Argument , type' :: Text } deriving (Generic) ``` The field name in the final request will be `type` instead of `type'`. The Morpheus request parser converts each of the reserved identities in Haskell 2010 to their corresponding names internally. This also applies to selections. ```haskell resolveDeity :: DeityArgs -> IORes e Deity resolveDeity DeityArgs { name, mythology } = liftEither $ dbDeity name mythology askDB :: Text -> Maybe Text -> IO (Either String Deity) askDB = ... ``` To make this `Query` type available as an API, we define a `GQLRootResolver` and feed it to the Morpheus `interpreter`. A `GQLRootResolver` consists of `query`, `mutation` and `subscription` definitions, while we omit the latter for this example: ```haskell rootResolver :: GQLRootResolver IO () Query Undefined Undefined rootResolver = GQLRootResolver { queryResolver = Query {deity = resolveDeity} , mutationResolver = Undefined , subscriptionResolver = Undefined } gqlApi :: ByteString -> IO ByteString gqlApi = interpreter rootResolver ``` As you can see, the API is defined as `ByteString -> IO ByteString` which we can either invoke directly or use inside an arbitrary web framework such as `scotty` or `serverless-haskell`. We'll go for `scotty` in this example: ```haskell main :: IO () main = scotty 3000 $ post "/api" $ raw =<< (liftIO . gqlApi =<< body) ``` If we now send a POST request to `http://localhost:3000/api` with a GraphQL Query as body for example in a tool like `Insomnia`: ```GraphQL query GetDeity { deity (name: "Morpheus") { fullName power } } ``` our query will be resolved! ```JSON { "data": { "deity": { "fullName": "Morpheus", "power": "Shapeshifting" } } } ``` ## Serverless Example If you are interested in creating a `Morpheus GraphQL` API with `Serverless`, you should take a look at our example in this repository: [_Mythology API_](https://github.com/morpheusgraphql/mythology-api) it is our example project build with `Morpheus GraphQL` and `Serverless-Haskell`, where you can query different mythology characters with `GraphiQL`. Mythology API is deployed on : [_api.morpheusgraphql.com_](https://api.morpheusgraphql.com) where you can test it with `GraphiQL` ![Mythology Api](https://morpheusgraphql.com/assets/img/mythology-api.png "mythology-api") ## Advanced topics ### Enums You can use Union Types as Enums, but they're not allowed to have any parameters. ```haskell data City = Athens | Sparta | Corinth | Delphi | Argos deriving (Generic) instance GQLType City where type KIND City = ENUM ``` ### Union types To use union type, all you have to do is derive the `GQLType` class. Using GraphQL [_fragments_](https://graphql.org/learn/queries/#fragments), the arguments of each data constructor can be accessed from the GraphQL client. ```haskell data Character = CharacterDeity Deity -- Only should generate direct link -- RECORDS | Creature { creatureName :: Text, creatureAge :: Int } --- Types | SomeDeity Deity | CharacterInt Int | SomeMutli Int Text --- ENUMS | Zeus | Cronus deriving (Generic, GQLType) ``` where `Deity` is an object. As you see there are different kinds of unions. `morpheus` handles them all. This type will be represented as ```gql union Character = Deity # unwrapped union: becouse Character + Deity = CharacterDeity | Creature | SomeDeity # wrapped union: becouse Character + Deity != SomeDeity | CharacterInt | SomeMutli | CharacterEnumObject # object wrapped for enums type Creature { creatureName: String! creatureAge: Int! } type SomeDeity { _0: Deity! } type CharacterInt { _0: Int! } type SomeMutli { _0: Int! _1: String! } # enum type CharacterEnumObject { enum: CharacterEnum! } enum CharacterEnum { Zeus Cronus } ``` - namespaced Unions: `CharacterDeity` where `Character` is TypeConstructor and `Deity` referenced object (not scalar) type: will be generate regular graphql Union - for all other unions will be generated new object type. for types without record syntaxt, fields will be automatally indexed. - all empty constructors in union will be summed in type `Enum` (e.g `CharacterEnum`), this enum will be wrapped in `CharacterEnumObject` and added to union members. ### Scalar types To use custom scalar types, you need to provide implementations for `parseValue` and `serialize` respectively. ```haskell data Odd = Odd Int deriving (Generic) instance GQLScalar Odd where parseValue (Int x) = pure $ Odd (... ) parseValue (String x) = pure $ Odd (... ) serialize (Odd value) = Int value instance GQLType Odd where type KIND Odd = SCALAR ``` ### Applicative and Monad instance The `Resolver` type has `Applicative` and `Monad` instances that can be used to compose resolvers. ### Introspection Morpheus converts your schema to a GraphQL introspection automatically. You can use tools like `Insomnia` to take a look at the introspection and validate your schema. If you need a description for your GQLType inside of the introspection you can define the GQLType instance manually and provide an implementation for the `description` function: ```haskell data Deity = Deity { ... } deriving (Generic) instance GQLType Deity where description = const "A supernatural being considered divine and sacred" ``` screenshots from `Insomnia` ![alt text](https://morpheusgraphql.com/assets/img/introspection/spelling.png "spelling") ![alt text](https://morpheusgraphql.com/assets/img/introspection/autocomplete.png "autocomplete") ![alt text](https://morpheusgraphql.com/assets/img/introspection/type.png "type") ## Handling Errors for errors you can use use either `liftEither` or `failRes`: at the and they have same result. with `liftEither` ```haskell resolveDeity :: DeityArgs -> IORes e Deity resolveDeity DeityArgs {} = liftEither $ dbDeity dbDeity :: IO Either Deity dbDeity = pure $ Left "db error" ``` with `failRes` ```haskell resolveDeity :: DeityArgs -> IORes e Deity resolveDeity DeityArgs { } = failRes "db error" ``` ### Mutations In addition to queries, Morpheus also supports mutations. The behave just like regular queries and are defined similarly: ```haskell newtype Mutation m = Mutation { createDeity :: MutArgs -> m Deity } deriving (Generic, GQLType) rootResolver :: GQLRootResolver IO () Query Mutation Undefined rootResolver = GQLRootResolver { queryResolver = Query {...} , mutationResolver = Mutation { createDeity } , subscriptionResolver = Undefined } where -- Mutation Without Event Triggering createDeity :: MutArgs -> ResolveM () IO Deity createDeity_args = lift setDBAddress gqlApi :: ByteString -> IO ByteString gqlApi = interpreter rootResolver ``` ### Subscriptions im morpheus subscription and mutation communicating with Events, `Event` consists with user defined `Channel` and `Content`. Every subscription has its own Channel by which it will be triggered ```haskell data Channel = ChannelA | ChannelB data Content = ContentA Int | ContentB Text type MyEvent = Event Channel Content newtype Query m = Query { deity :: m Deity } deriving (Generic) newtype Mutation m = Mutation { createDeity :: m Deity } deriving (Generic) newtype Subscription (m :: * -> * ) = Subscription { newDeity :: m Deity } deriving (Generic) type APIEvent = Event Channel Content rootResolver :: GQLRootResolver IO APIEvent Query Mutation Subscription rootResolver = GQLRootResolver { queryResolver = Query { deity = fetchDeity } , mutationResolver = Mutation { createDeity } , subscriptionResolver = Subscription { newDeity } } where -- Mutation Without Event Triggering createDeity :: ResolveM EVENT IO Address createDeity = MutResolver \$ do value <- lift dbCreateDeity pure ( [Event { channels = [ChannelA], content = ContentA 1 }], value ) newDeity = SubResolver [ChannelA] subResolver where subResolver (Event [ChannelA] (ContentA _value)) = fetchDeity -- resolve New State subResolver (Event [ChannelA] (ContentB _value)) = fetchDeity -- resolve New State subResolver _ = fetchDeity -- Resolve Old State ``` ## Morpheus `GraphQL Client` with Template haskell QuasiQuotes ```hs defineByDocumentFile "./schema.gql" [gql| query GetHero ($character: Character) { deity (fatherOf:$character) { name power worships { deity2Name: name } } } |] ``` with schema: ```gql input Character { name: String! } type Deity { name: String! worships: Deity } ``` will validate query and Generate: - namespaced response and variable types - instance for `Fetch` typeClass ```hs data GetHero = GetHero { deity: DeityDeity } -- from: {user data DeityDeity = DeityDeity { name: Text, worships: Maybe DeityWorshipsDeity } -- from: {deity{worships data DeityWorshipsDeity = DeityWorshipsDeity { name: Text, } data GetHeroArgs = GetHeroArgs { getHeroArgsCharacter: Character } data Character = Character { characterName: Person } ``` as you see, response type field name collision can be handled with GraphQL `alias`. with `fetch` you can fetch well typed response `GetHero`. ```haskell fetchHero :: Args GetHero -> m (Either String GetHero) fetchHero = fetch jsonRes args where args = GetHeroArgs {getHeroArgsCharacter = Person {characterName = "Zeus"}} jsonRes :: ByteString -> m ByteString jsonRes = ``` in this case, `jsonRes` is resolves a request into a response in some monad `m`. A `fetch` resolver implementation against [a real API](https://swapi.graph.cool) may look like the following: ```haskell {-# LANGUAGE OverloadedStrings #-} import Data.ByteString.Lazy (ByteString) import qualified Data.ByteString.Char8 as C8 import Network.HTTP.Req resolver :: String -> ByteString -> IO ByteString resolver tok b = runReq defaultHttpConfig $ do let headers = header "Content-Type" "application/json" responseBody <$> req POST (https "swapi.graph.cool") (ReqBodyLbs b) lbsResponse headers ``` this is demonstrated in examples/src/Client/StarWarsClient.hs types can be generated from `introspection` too: ```haskell defineByIntrospectionFile "./introspection.json" ``` ## Morpheus CLI for Code Generating you should use [morpheus-graphql-cli](https://github.com/morpheusgraphql/morpheus-graphql-cli) # About ## The name _Morpheus_ is the greek god of sleep and dreams whose name comes from the greek word _μορφή_ meaning form or shape. He is said to be able to mimic different forms and GraphQL is good at doing exactly that: Transforming data in the shape of many different APIs. ## Team Morpheus is written and maintained by [_nalchevanidze_](https://github.com/nalchevanidze) ## Roadmap - Medium future: - Stabilize API - Specification-isomorphic error handling - Long term: - Support all possible GQL features - Performance optimization