Automatically generate TypeScript interfaces from your JSON serializers.
Currently, this library targets oj_serializers
and ActiveRecord
in Rails applications.
For a schema such as this one:
DB Schema
create_table "composers", force: :cascade do |t|
t.text "first_name"
t.text "last_name"
t.datetime "created_at", precision: 6, null: false
t.datetime "updated_at", precision: 6, null: false
end
create_table "songs", force: :cascade do |t|
t.text "title"
t.integer "composer_id"
t.datetime "created_at", precision: 6, null: false
t.datetime "updated_at", precision: 6, null: false
end
create_table "video_clips", force: :cascade do |t|
t.text "title"
t.text "youtube_id"
t.integer "song_id"
t.integer "composer_id"
t.datetime "created_at", precision: 6, null: false
t.datetime "updated_at", precision: 6, null: false
end
and a serializer like the following:
class VideoSerializer < BaseSerializer
object_as :video, model: :VideoClip
attributes :id, :created_at, :title, :youtube_id
type :string, optional: true
def youtube_url
"https://www.youtube.com/watch?v=#{video.youtube_id}" if video.youtube_id
end
has_one :song, serializer: SongSerializer
end
it would generate a TypeScript interface like:
import type Song from '~/types/serializers/Song'
export default interface Video {
id: number
createdAt: string | Date
title?: string
youtubeId?: string
youtubeUrl?: string
song: Song
}
Note
This is the default configuration, but you have full control over generation.
It's easy for the backend and the frontend to become out of sync. Traditionally, preventing bugs requires writing extensive integration tests.
TypeScript is a great tool to catch this kind of bugs and mistakes, as it can detect incorrect usages and missing fields, but writing types manually is cumbersome, and they can become stale over time, giving a false sense of confidence.
This library takes advantage of the declarative nature of serializer libraries
such as active_model_serializers
and oj_serializers
,
extending them to allow embedding type information, as well as inferring types
from the SQL schema when available.
As a result, it's posible to easily detect mismatches between the backend and the frontend, as well as make the fields more discoverable and provide great autocompletion in the frontend, without having to manually write the types.
- Start simple, no additional syntax required
- Infers types from a related
ActiveRecord
model, using the SQL schema - Understands JS native types and how to map SQL columns:
string
,boolean
, etc - Automatically types associations, importing the generated types for the referenced serializers
- Detects conditional attributes and marks them as optional:
name?: string
- Fallback to a custom interface using
type_from
- Supports custom types and automatically adds the necessary imports
Add this line to your application's Gemfile:
gem 'types_from_serializers'
And then run:
$ bundle install
To get started, create a BaseSerializer
that extends Oj::Serializer
, and include the TypesFromSerializers::DSL
module.
# app/serializers/base_serializer.rb
class BaseSerializer < Oj::Serializer
include TypesFromSerializer::DSL
end
Note
You can customize this behavior using
base_serializers
.
Warning
All serializers should extend one of the
base_serializers
, or they won't be detected.
In most cases, you'll want to let TypesFromSerializer
infer the types from the SQL schema.
If you are using ActiveRecord
, the model related to the serializer will be inferred can be inferred from the serializer name:
UserSerializer => User
It can also be inferred from an object alias if provided:
class PersonSerializer < BaseSerializer
object_as :user
In cases where we want to use a different alias, you can provide the model name explicitly:
class PersonSerializer < BaseSerializer
object_as :person, model: :User
When you want to be more strict than the SQL schema, or for attributes that are methods in the model, you can use:
typed_attributes(
name: :string,
status: :Status, # a custom type in ~/types/Status.ts
)
For attributes defined in the serializer, use the type
helper:
type :boolean
def suspended
user.status.suspended?
end
Note
When specifying a type,
serializer_attribute
will be called automatically.
You can also specify types_from
to provide a TypeScript interface that should
be used to obtain the field types:
class LocationSerializer < BaseSerializer
object_as :location, types_from: :GoogleMapsLocation
attributes(
:lat,
:lng,
)
end
import GoogleMapsLocation from '~/types/GoogleMapsLocation'
export default interface Location {
lat: GoogleMapsLocation['lat']
lng: GoogleMapsLocation['lng']
}
To get started, run bin/rails s
to start the Rails
development server.
TypesFromSerializers
will automatically register a Rails
reloader, which
detects changes to serializer files, and will generate code on-demand only for
the modified files.
It can also detect when new serializer files are added, or removed, and update the generated code accordingly.
To generate types manually, use the rake task:
bundle exec rake types_from_serializers:generate
or if you prefer to do it manually from the console:
require "types_from_serializers/generator"
TypesFromSerializer.generate(force: true)
With vite-plugin-full-reload
⚡️
When using Vite Ruby, you can add vite-plugin-full-reload
to automatically reload the page when modifying serializers, causing the Rails
reload process to be triggered, which is when generation occurs.
// vite.config.ts
import { defineConfig } from 'vite'
import ruby from 'vite-plugin-ruby'
import reloadOnChange from 'vite-plugin-full-reload'
defineConfig({
plugins: [
ruby(),
reloadOnChange(['app/serializers/**/*.rb'], { delay: 200 }),
],
})
As a result, when modifying a serializer and hitting save, the type for that serializer will be updated instantly!
You can configure generation in a Rails initializer:
# config/initializers/types_from_serializers.rb
if Rails.env.development?
TypesFromSerializers.config do |config|
config.name_from_serializer = ->(name) { name }
end
end
Default: ["BaseSerializer"]
Allows you to specify the base serializers, that are used to detect other serializers in the app that you would like to generate interfaces for.
Default: ["app/serializers"]
The dirs where the serializer files are located.
Default: "app/frontend/types"
The dir where the generated TypeScript interface files are placed.
Default: ->(name) { name.delete_suffix("Serializer") }
A Proc
that specifies how to convert the name of the serializer into the name
of the generated TypeScript interface.
Default: ["Array", "Record", "Date"]
Types that don't need to be imported in TypeScript.
You can extend this list as needed if you are using global definitions.
Specifies how to map SQL column types to TypeScript native and custom types.
# Example: You have response middleware that automatically converts date strings
# into Date objects, and you want TypeScript to treat those fields as `Date`.
config.sql_to_typescript_type_mapping.update(
date: :Date,
datetime: :Date,
)
# Example: You won't transform fields when receiving data in the frontend
# (date fields are serialized to JSON as strings).
config.sql_to_typescript_type_mapping.update(
date: :string,
datetime: :string,
)
# Example: You plan to introduce types slowly, and don't want to be strict with
# untyped fields, so treat them as `any` instead of `unknown`.
config.sql_to_typescript_type_mapping.default = :any
Please use Issues to report bugs you find, and Discussions to make feature requests or get help.
Don't hesitate to ⭐️ star the project if you find it useful!
Using it in production? Always love to hear about it! 😃
The gem is available as open source under the terms of the MIT License.