@figureland/versioned-schema
v0.0.16
Published
Create versioned schemas for distributed applications
Readme
versioned-schema
A tiny tool which allows you to create basic versioned schemas, using valibot. This is handy when designing distributed apps and data structures.
This library can also be used with effect/Schema.
Explainer
Let's make up a scenario where we have a basic data structure in our app. We want to update it by adding a new field called description. And then later on, And later on, we decide to change the type of field description to be an array of strings.
In this scenario, we might end up with different versions of our data structure that can clash.
type Example = {
id: string
createdAt: number
name: string
}
type Example2 = {
id: string
createdAt: number
name: string
description: string
}
type Example3 = {
id: string
createdAt: number
name: string
description: string[]
}We want our app to be able to support different versions of this data structure. So we might end up with something like this:
type Example =
| {
id: string
createdAt: number
name: string
version: '1'
}
| {
id: string
createdAt: number
name: string
description: string
version: '2'
}
| {
id: string
createdAt: number
name: string
description: string[]
version: '3'
}These different versions can introduce a lot of complexity. This is not a new problem, and there are a lot of different approaches that tend to be application-specific.
This library provides some basic helpers to make it easier to work with that schema in your app.
Create a versioned schema
import { number, string, array } from 'valibot'
import { createVersionedSchema } from '@figureland/versioned-schema'
const exampleSchema = createVersionedSchema({
// Base schema - shared across all versions
base: {
id: string(),
createdAt: number()
},
// Version-specific schemas
versions: {
'1': {
name: string()
},
'2': {
name: string(),
description: string()
},
'3': {
name: string(),
description: array(string())
}
}
})
const { schema, versions, parse, validate, isVersion } = exampleSchemaInfer the type of a schema
import type { InferOutput } from 'valibot'
type Example = InferOutput<typeof exampleSchema.schema>List available schema versions
// List available schema versions
console.log(exampleSchema.versions)
// ['1', '2', '3']Parse data
// Parse data
const v1Data = {
id: '123',
createdAt: Date.now(),
name: 'Example V1',
version: '1'
}
console.log(exampleSchema.parse(v1Data))
// { id: '123', createdAt: 1234567890, name: 'Example V1', version: '1' }
const v2Data = {
id: '456',
createdAt: Date.now(),
name: 'Example V2',
description: 'Version 2 has a description',
version: '2'
}
console.log(exampleSchema.parse(v2Data))
// { id: '456', createdAt: 1234567890, name: 'Example V2', description: '...', version: '2' }Validate unknown data
// Check if data matches any version of your schema (type-safe)
console.log(exampleSchema.validate(v1Data)) // true
console.log(exampleSchema.validate({ version: '1' })) // false (missing required fields)
// Check if data is a specific version of your schema (type-safe)
console.log(exampleSchema.isVersion('1', v1Data)) // true
console.log(exampleSchema.isVersion('2', v1Data)) // falseUse with effect/Schema
import { Schema } from 'effect'
import { createVersionedSchema } from '@figureland/versioned-schema/effect'
const exampleSchema = createVersionedSchema({
base: {
id: Schema.String,
createdAt: Schema.Number
}
})Use with zod
import { createVersionedSchema } from '@figureland/versioned-schema/zod'
const exampleSchema = createVersionedSchema({
base: {
id: z.string(),
createdAt: z.number()
},
versions: {
'1': {
name: z.string()
}
}
})Scripts
Install
bun installTest
bun testBuild
bun run build