Optionals

It often happens that undefined or null should also be accepted instead of the value. To make the API more readable for this and to reduce boilerplate, Valibot offers a shortcut for this functionality with optional, exactOptional, undefinedable, nullable and nullish.

How it works

To accept undefined and/or null besides your actual value, you just have to wrap the schema in optional, exactOptional, undefinedable, nullable or nullish.

Note: exactOptional allows missing entries in objects, but does not allow undefined as a specified value.

import * as v from 'valibot';

const OptionalStringSchema = v.optional(v.string()); // string | undefined
const ExactOptionalStringSchema = v.exactOptional(v.string()); // string
const UndefinedableStringSchema = v.undefinedable(v.string()); // string | undefined
const NullableStringSchema = v.nullable(v.string()); // string | null
const NullishStringSchema = v.nullish(v.string()); // string | null | undefined

Use in objects

When used inside of objects, optional, exactOptional and nullish is a special case, as it also marks the value as optional in TypeScript with a question mark.

import * as v from 'valibot';

const OptionalKeySchema = v.object({ key: v.optional(v.string()) }); // { key?: string | undefined }

Default values

What makes optional, exactOptional, undefinedable, nullable and nullish unique is that the schema functions accept a default value as the second argument. Depending on the schema function, this default value is always used if the input is missing, undefined or null.

import * as v from 'valibot';

const OptionalStringSchema = v.optional(v.string(), "I'm the default!");

type OptionalStringInput = v.InferInput<typeof OptionalStringSchema>; // string | undefined
type OptionalStringOutput = v.InferOutput<typeof OptionalStringSchema>; // string

By providing a default value, the input type of the schema now differs from the output type. The schema in the example now accepts string and undefined as input, but returns a string as output in both cases.

Dynamic default values

In some cases it is necessary to generate the default value dynamically. For this purpose, a function that generates and returns the default value can also be passed as the second argument.

import * as v from 'valibot';

const NullableDateSchema = v.nullable(v.date(), () => new Date());

The previous example thus creates a new instance of the Date class for each validation with null as input, which is then used as the default value.

Dependent default values

In rare cases, a default value for an optional entry may depend on the values of another entries in the same object. This can be achieved by using transform in the pipe of the object.

import * as v from 'valibot';

const CalculationSchema = v.pipe(
  v.object({
    a: v.number(),
    b: v.number(),
    sum: v.optional(v.number()),
  }),
  v.transform((input) => ({
    ...input,
    sum: input.sum === undefined ? input.a + input.b : input.sum,
  }))
);