bs-decode
v1.2.0
Published
Type-safe JSON decoding for ReasonML and OCaml
Downloads
200
Maintainers
Readme
bs-decode
Note
bs-decode has been stable and used in production for several years, so a v1 release makes sense. This is the final release that will be compatible with BuckleScript as we turn our attention to the newer OCaml features available in Melange.
Decode JSON values into structured ReasonML and OCaml types. Inspired by Elm's Json.Decode and the Decode Pipeline, bs-decode
is an alternative to bs-json that focuses on structured, type-safe error handling, rather than exceptions. Additionally, bs-decode
collects up everything that went wrong while parsing the JSON, rather than failing on the first error.
Installation
Install via npm:
npm install --save bs-decode relude bs-bastet
Update your bsconfig.json
"bs-dependencies": [
"bs-bastet",
"bs-decode",
"relude"
],
Usage
The following is available to give you an idea of how the library works, but the complete documentation will probably be more useful if you want to write your own decoders.
// imagine you have a `user` type and `make` function to construct one
type user = {
name: string,
age: int,
isAdmin: bool,
lastLogin: option(Js.Date.t)
};
let make = (name, age, isAdmin, lastLogin) =>
{ name, age, isAdmin, lastLogin };
/**
* Given a JSON value that looks like:
* { "name": "Alice", "age": 44, "roles": ["admin"] }
*
* you can write a function to convert this JSON into a value of type `user`
*/
module Decode = Decode.AsResult.OfParseError; // module alias for brevity
let decode = json =>
Decode.Pipeline.(
succeed(make)
|> field("name", string)
|> field("age", intFromNumber)
|> field("roles", list(string) |> map(List.contains("admin")))
|> optionalField("lastLogin", date)
|> run(json)
);
let myUser = decode(json); /* Ok({ name: "Alice", ...}) */
Contributing
All contributions are welcome! This obviously includes code changes and documentation improvements (see CONTRIBUTING), but we also appreciate any feedback you want to provide (in the form of Github issues) about concepts that are confusing or poorly explained in the docs.
License
Released under the MIT license.