Micro framework for easily parsing JSON in Swift with rich error messages in less than 100 lines of code.
infomercial voice 🎙 Are you tried of parsing JSON and not knowing what went wrong? Do you find complicated frameworks with confusing custom operators a hassle? Are you constantly wishing this could be simpler? Well now it can be, with JSON! Enjoy the Simple™
Let’s say we have a simple user struct:
struct User {
let name: String
let createdAt: Date
}
We can add JSON deserialization to this really easily:
extension User: JSONDeserializable {
init(json: JSON) throws {
name = try json.decode(key: "name")
createdAt = try json.decode(key: "created_at")
}
}
(JSON
is simply a typealias for [String: Any]
.)
Notice that you don’t have to specify types! This uses Swift generics and pattern matching so you don’t have to worry about this. The interface for those decode functions look like this:
func decode<T: JSONDeserializable>(key: String) throws -> T
func decode<T: JSONDeserializable>(key: String) throws -> [T]
func decode(key: String) throws -> Date
func decode(key: String) throws -> URL
There’s a specialized verion that returns a Date
. You can supply your own functions for custom types if you wish.
Here’s deserialization in action:
let json = [
"name": "Sam Soffes",
"created_at": "2016-09-22T22:28:37+02:00"
]
let sam = try User(json: json)
Decoding an optional attribute is easy:
struct Comment {
let body: String
let publishedAt: Date?
}
extension Comment {
init(json: JSON) throws {
body = try json.decode(key: "body")
// See how we use `try?` to just get `nil` if it fails to decode?
// Easy as that!
publishedAt = try? json.decode(key: "published_at")
}
}
Working with nested models is easy. Let’s say we have the following post model:
struct Post {
let title: String
let author: User
}
extension Post: JSONDeserializable {
init(json: JSONDictionary) throws {
title = try json.decode(key: "title")
author = try json.decode(key: "author")
}
}
We can simply treat a nested model like any other kind of attribute because there’s a generic function constrainted to JSONDeserializable
and User
in our example conforms to that.
Enums that are RawRepresentable
, meaning they have an underlying type and no associated values, will deserialize with any additional work! Let’s say we have the following enum:
enum RelationshipStatus: String {
case stranger
case friend
case blocked
}
We could simply deserialize it like this assuming our User
example earlier now has a property for it:
let json = [
"name": "Sam Soffes",
"created_at": "2016-09-22T22:28:37+02:00",
"releationship_status": "friend"
]
extension User: JSONDeserializable {
init(json: JSON) throws {
name = try json.decode(key: "name")
createdAt = try json.decode(key: "created_at")
relationshipStatus = try json.decode("relationship_status")
}
}
If your enum isn’t RawRepresentable
, see the next section for providing a custom decode
method for it.
You can also define custom decode
function for custom types very easily. We’ll use TimeZone
as an example:
extension Dictionary where Key : StringProtocol {
func decode(key: Key) throws -> TimeZone {
// Get the JSON representation of it. Here, it’s a string.
let string: String = try decode(key: key)
// Initialize TimeZone with the identifier you decoded already.
guard let timeZone = TimeZone(identifier: string) else {
throw JSONDeserializationError.invalidAttribute(key: String(key))
}
return timeZone
}
}
Then you can do try json.decode(key: "timezone")
like normal and it will throw the appropriate errors for you or decode a valid TimeZone
value.
How cool is that‽