Schema 0.69 (Release)
Several features were introduced in version 0.68 through various patches, here’s a recap of the most important updates in case you missed them.
The behavior of JSON Schema generation has been refined to enhance the handling of optional fields.
Previously, schemas containing undefined
could lead to exceptions; now, they are treated as optional automatically.
Before Update:
import { JSONSchema, Schema } from "@effect/schema"
const schema = Schema.Struct({ a: Schema.NullishOr(Schema.Number)})
const jsonSchema = JSONSchema.make(schema)console.log(JSON.stringify(jsonSchema, null, 2))/*throwsError: Missing annotationat path: ["a"]details: Generating a JSON Schema for this schema requires a "jsonSchema" annotationschema (UndefinedKeyword): undefined*/
After Update:
import { JSONSchema, Schema } from "@effect/schema"
const schema = Schema.Struct({ a: Schema.NullishOr(Schema.Number)})
const jsonSchema = JSONSchema.make(schema)console.log(JSON.stringify(jsonSchema, null, 2))/*{ "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "required": [], // <=== empty "properties": { "a": { "anyOf": [ { "type": "number" }, { "$ref": "#/$defs/null" } ] } }, "additionalProperties": false, "$defs": { "null": { "const": null } }}*/
The generation of JSON schemas from records that utilize refinements has been improved to ensure error-free outputs.
Before Update:
import { JSONSchema, Schema } from "@effect/schema"
const schema = Schema.Record({ key: Schema.String.pipe(Schema.minLength(1)), value: Schema.Number})
console.log(JSONSchema.make(schema))/*throwsError: Unsupported index signature parameterschema (Refinement): a string at least 1 character(s) long*/
After Update:
import { JSONSchema, Schema } from "@effect/schema"
const schema = Schema.Record({ key: Schema.String.pipe(Schema.minLength(1)), value: Schema.Number})
console.log(JSONSchema.make(schema))/*Output:{ '$schema': 'http://json-schema.org/draft-07/schema#', type: 'object', required: [], properties: {}, patternProperties: { '': { type: 'number' } }, propertyNames: { type: 'string', description: 'a string at least 1 character(s) long', minLength: 1 }}*/
Resolved an issue where JSONSchema.make
improperly generated JSON Schemas for schemas defined with S.parseJson(<real schema>)
.
Previously, invoking JSONSchema.make
on these transformed schemas produced a JSON Schema corresponding to a string type rather than the underlying real schema.
Before Update:
import { JSONSchema, Schema } from "@effect/schema"
// Define a schema that parses a JSON string into a structured objectconst schema = Schema.parseJson( Schema.Struct({ a: Schema.parseJson(Schema.NumberFromString) // Nested parsing from JSON string to number }))
console.log(JSONSchema.make(schema))/*{ '$schema': 'http://json-schema.org/draft-07/schema#', '$ref': '#/$defs/JsonString', '$defs': { JsonString: { type: 'string', description: 'a JSON string', title: 'JsonString' } }}*/
After Update:
import { JSONSchema, Schema } from "@effect/schema"
// Define a schema that parses a JSON string into a structured objectconst schema = Schema.parseJson( Schema.Struct({ a: Schema.parseJson(Schema.NumberFromString) // Nested parsing from JSON string to number }))
console.log(JSONSchema.make(schema))/*{ '$schema': 'http://json-schema.org/draft-07/schema#', type: 'object', required: [ 'a' ], properties: { a: { type: 'string', description: 'a string', title: 'string' } }, additionalProperties: false}*/
We have introduced new transformations and filters to enhance string processing capabilities:
- Transformations:
Capitalize
,Uncapitalize
- Filters:
Capitalized
,Uncapitalized
The filterEffect
function enhances the filter
functionality by allowing the integration of effects, thus enabling asynchronous or dynamic validation scenarios.
This is particularly useful when validations need to perform operations that require side effects, such as network requests or database queries.
Example: Validating Usernames Asynchronously
import { Schema } from "@effect/schema"import { Effect } from "effect"
async function validateUsername(username: string) { return Promise.resolve(username === "gcanti")}
const ValidUsername = Schema.String.pipe( Schema.filterEffect((username) => Effect.promise(() => validateUsername(username).then( (valid) => valid || "Invalid username" ) ) )).annotations({ identifier: "ValidUsername" })
Effect.runPromise(Schema.decodeUnknown(ValidUsername)("xxx")).then( console.log)/*ParseError: ValidUsername└─ Transformation process failure └─ Invalid username*/
These new functionalities provide efficient transformations between records and maps, supporting both encoding and decoding processes.
- decoding
{ readonly [x: string]: VI }
->ReadonlyMap<KA, VA>
- encoding
ReadonlyMap<KA, VA>
->{ readonly [x: string]: VI }
Example:
import { Schema } from "@effect/schema"
const schema = Schema.ReadonlyMapFromRecord({ key: Schema.BigInt, value: Schema.NumberFromString})
const decode = Schema.decodeUnknownSync(schema)const encode = Schema.encodeSync(schema)
console.log( decode({ "1": "4", "2": "5", "3": "6" })) // Map(3) { 1n => 4, 2n => 5, 3n => 6 }console.log( encode( new Map([ [1n, 4], [2n, 5], [3n, 6] ]) )) // { '1': '4', '2': '5', '3': '6' }
The extend
function now supports combinations with Union
, Suspend
, and Refinement
, broadening its applicability and flexibility.
These operations allow selective inclusion or exclusion of properties from structs, providing more control over schema composition.
Using pick:
The pick
static function available in each struct schema can be used to create a new Struct
by selecting particular properties from an existing Struct
.
import { Schema } from "@effect/schema"
const MyStruct = Schema.Struct({ a: Schema.String, b: Schema.Number, c: Schema.Boolean})
// Schema.Struct<{ a: typeof Schema.String; c: typeof Schema.Boolean; }>const PickedSchema = MyStruct.pick("a", "c")
Using omit:
The omit
static function available in each struct schema can be used to create a new Struct
by excluding particular properties from an existing Struct
.
import { Schema } from "@effect/schema"
const MyStruct = Schema.Struct({ a: Schema.String, b: Schema.Number, c: Schema.Boolean})
// Schema.Struct<{ a: typeof Schema.String; c: typeof Schema.Boolean; }>const PickedSchema = MyStruct.omit("b")
The introduction of a make
constructor simplifies class instantiation, avoiding direct use of the new
keyword and enhancing usability.
Example
import { Schema } from "@effect/schema"
class MyClass extends Schema.Class<MyClass>("MyClass")({ someField: Schema.String}) { someMethod() { return this.someField + "bar" }}
// Create an instance of MyClass using the make constructorconst instance = MyClass.make({ someField: "foo" }) // same as new MyClass({ someField: "foo" })
// Outputs to console to demonstrate that the instance is correctly createdconsole.log(instance instanceof MyClass) // trueconsole.log(instance.someField) // "foo"console.log(instance.someMethod()) // "foobar"
This update allows setting specific parse options at the schema level (using the parseOptions
annotation), ensuring precise control over parsing behaviors throughout your schemas.
Example Configuration:
import { Schema } from "@effect/schema"import { Either } from "effect"
const schema = Schema.Struct({ a: Schema.Struct({ b: Schema.String, c: Schema.String }).annotations({ title: "first error only", parseOptions: { errors: "first" } // Only the first error in this sub-schema is reported }), d: Schema.String}).annotations({ title: "all errors", parseOptions: { errors: "all" } // All errors in the main schema are reported})
const result = Schema.decodeUnknownEither(schema)( { a: {} }, { errors: "first" })if (Either.isLeft(result)) { console.log(result.left.message)}/*all errors├─ ["d"]│ └─ is missing└─ ["a"] └─ first error only └─ ["b"] └─ is missing*/
Detailed Output Explanation:
In this example:
- The main schema is configured to display all errors. Hence, you will see errors related to both the
d
field (since it’s missing) and any errors from thea
subschema. - The subschema (
a
) is set to display only the first error. Although bothb
andc
fields are missing, only the first missing field (b
) is reported.
For some of the breaking changes, a code-mod has been released to make migration as easy as possible.
You can run it by executing:
npx @effect/codemod schema-0.69 src/**/*
It might not be perfect - if you encounter issues, let us know! Also make sure you commit any changes before running it, in case you need to revert anything.
We’ve improved the TaggedRequest
API to make it more intuitive by grouping parameters into a single object:
Before Update:
class Sample extends Schema.TaggedRequest<Sample>()( "Sample", Schema.String, // Failure Schema Schema.Number, // Success Schema { id: Schema.String, foo: Schema.Number } // Payload Schema) {}
After Update:
class Sample extends Schema.TaggedRequest<Sample>()("Sample", { payload: { id: Schema.String, foo: Schema.Number }, success: Schema.Number, failure: Schema.String}) {}
The Record
constructor now consistently accepts an object argument, aligning it with similar constructors such as Map
and HashMap
:
Before Update:
import { Schema } from "@effect/schema"
const schema = Schema.Record(Schema.String, Schema.Number)
After Update:
import { Schema } from "@effect/schema"
const schema = Schema.Record({ key: Schema.String, value: Schema.Number })
Support for extending Schema.String
, Schema.Number
, and Schema.Boolean
with refinements has been added:
import { Schema } from "@effect/schema"
const Integer = Schema.Int.pipe(Schema.brand("Int"))const Positive = Schema.Positive.pipe(Schema.brand("Positive"))
// Schema.Schema<number & Brand<"Positive"> & Brand<"Int">, number, never>const PositiveInteger = Schema.asSchema(Schema.extend(Positive, Integer))
Schema.decodeUnknownSync(PositiveInteger)(-1)/*throwsParseError: Int & Brand<"Int">└─ From side refinement failure └─ Positive & Brand<"Positive"> └─ Predicate refinement failure └─ Expected Positive & Brand<"Positive">, actual -1*/
Schema.decodeUnknownSync(PositiveInteger)(1.1)/*throwsParseError: Int & Brand<"Int">└─ Predicate refinement failure └─ Expected Int & Brand<"Int">, actual 1.1*/
To improve clarity, we have renamed nonEmpty
filter to nonEmptyString
and NonEmpty
schema to NonEmptyString
.
We’ve refined the optional
and partial
APIs by splitting them into two distinct methods: one without options (optional
and partial
) and another with options (optionalWith
and partialWith
).
This change resolves issues with previous implementations when used with the pipe
method:
Schema.String.pipe(Schema.optional)
The following transformations have been added:
StringFromBase64
StringFromBase64Url
StringFromHex
For all the details, head over to our changelog.