package graphql_parser

GraphQL Servers in OCaml

This repo contains a library for creating GraphQL servers in OCaml. Note that the API is still under active development.

Current feature set:

• [x] Type-safe schema design

• [x] GraphQL parser in pure OCaml using angstrom (April 2016 RFC draft)

• [x] Query execution

• [x] Introspection of schemas

• [x] Arguments for fields

• [x] Allows variables in queries

• [x] Lwt support

• [x] Async support

• [x] Example with HTTP server and GraphiQL

Documentation

Four OPAM packages are provided:

• graphql provides the core functionality and is IO-agnostic. It provides a functor Graphql.Schema.Make(IO) to instantiate with your own IO monad.

• graphql-lwt provides the module Graphql_lwt.Schema with Lwt support in field resolvers.

• graphql-async provides the module Graphql_async.Schema with Async support in field resolvers.

• graphql_parser provides query parsing functionality.

API documentation:

• graphql

• graphql-lwt

• graphql-async

• graphql_parser

Examples

GraphiQL

To run a sample GraphQL server also serving GraphiQL, do the following:

opam install graphql-lwt jbuilder
git clone git@github.com:andreas/ocaml-graphql-server.git
cd ocaml-graphql-server
cd examples
jbuilder build server.exe
./_build/default/server.exe

Now open http://localhost:8080/graphql.

Defining a Schema

open Graphql

type role = User | Admin
type user = {
  id   : int;
  name : string;
  role : role;
}

let users = [
  { id = 1; name = "Alice"; role = Admin };
  { id = 2; name = "Bob"; role = User }
]

let role = Schema.(enum "role"
  ~doc:"The role of a user"
  ~values:[
    enum_value "USER" ~value:User;
    enum_value "ADMIN" ~value:Admin;
  ]
)

let user = Schema.(obj "user"
  ~doc:"A user in the system"
  ~fields:(fun _ -> [
    field "id"
      ~doc:"Unique user identifier"
      ~typ:(non_null int)
      ~args:Arg.[]
      ~resolve:(fun ctx p -> p.id)
    ;
    field "name"
      ~typ:(non_null string)
      ~args:Arg.[]
      ~resolve:(fun ctx p -> p.name)
    ;
    field "role"
      ~typ:(non_null role)
      ~args:Arg.[]
      ~resolve:(fun ctx p -> p.role)
  ])
)

let schema = Schema.(schema [
  field "users"
    ~typ:(non_null (list (non_null user)))
    ~args:Arg.[]
    ~resolve:(fun ctx () -> users)
])

Running a Query

Without variables:

match Graphql_parser.parse "{ users { name } }" with
| Ok query -> Graphql.Schema.execute schema ctx query
| Error err -> failwith err

With variables parsed from JSON:

match Graphql_parser.parse "{ users(limit: $x) { name } }" with
| Ok query ->
    let json_variables = Yojson.Basic.(from_string "{\"x\": 42}" |> Util.to_assoc) in
    let variables = (json_variables :> (string * Graphql_parser.const_value) list)
    Graphql.Schema.execute schema ctx ~variables query
| Error err ->
    failwith err

Self-Recursive Objects

To allow defining an object that refers to itself, the type itself is provided as argument to the ~fields function. Example:

type tweet = {
  id : int;
  replies : tweet list;
}

let tweet = Schema.(obj "tweet"
  ~fields:(fun tweet -> [
    field "id"
      ~typ:(non_null int)
      ~args:Arg.[]
      ~resolver:(fun ctx t -> t.id)
    ;
    field "replies"
      ~typ:(non_null (list tweet))
      ~args:Arg.[]
      ~resolver:(fun ctx t -> t.replies)
  ])
)

Mutually Recursive Objects

Mutually recursive objects can be defined using let rec and lazy:

let rec foo = lazy Schema.(obj "foo"
  ~fields:(fun _ -> [
    field "bar"
      ~typ:Lazy.(force bar)
      ~args.Arg.[]
      ~resolver:(fun ctx foo -> foo.bar)
  ])
and bar = lazy Schema.(obj "bar"
  ~fields:(fun _ -> [
    field "foo"
      ~typ:Lazy.(force foo)
      ~args.Arg.[]
      ~resolver:(fun ctx bar -> bar.foo)
  ])

Lwt Support

open Lwt.Infix
open Graphql_lwt

let schema = Schema.(schema [
  io_field "wait"
    ~typ:(non_null float)
    ~args:Arg.[
      arg "duration" ~typ:float;
    ]
    ~resolve:(fun ctx () ->
      Lwt_unix.sleep duration >|= fun () -> duration
    )
])

Async Support

open Core.Std
open Async.Std
open Graphql_async

let schema = Schema.(schema [
  io_field "wait"
    ~typ:(non_null float)
    ~args:Arg.[
      arg "duration" ~typ:float;
    ]
    ~resolve:(fun ctx () ->
      after (Time.Span.of_float duration) >>| fun () -> duration
    )
])

Arguments

Arguments for a field can either be required, optional or optional with a default value:

Schema.(obj "math"
  ~fields:(fun _ -> [
    field "sum"
      ~typ:int
      ~args:Arg.[
        arg  "x" ~typ:(non_null int); (* <-- required *)
        arg  "y" ~typ:int;            (* <-- optional *)
        arg' "z" ~typ:int ~default:7  (* <-- optional w/ default *)
      ]
      ~resolve:(fun ctx () x y z ->
        let y' = match y with Some n -> n | None -> 42 in
        x + y' + z
      )
  ])
)

Note that you must use arg' to provide a default value.

Design

Only valid schemas should pass the type checker. If a schema compiles, the following holds:

1. The type of a field agrees with the return type of the resolve function.

2. The arguments of a field agrees with the accepted arguments of the resolve function.

3. The source of a field agrees with the type of the object to which it belongs.

4. The context argument for all resolver functions in a schema agree.

The following blog posts introduces the core design concepts:

• https://andreas.github.io/2017/11/29/type-safe-graphql-with-ocaml-part-1/

• https://andreas.github.io/2018/01/05/modeling-graphql-type-modifiers-with-gadts/