Yup is a JavaScript schema builder for value parsing and validation. Define a schema, transform a value to match, validate the shape of an existing value, or both. Yup schema are extremely expressive and allow modeling complex, interdependent validations, or value transformations.
Yup's API is heavily inspired by Joi, but leaner and built with client-side validation as its primary use-case. Yup separates the parsing and validating functions into separate steps. cast()
transforms data while validate
checks that the input is the correct shape. Each can be performed together (such as HTML form validation) or seperately (such as deserializing trusted data from APIs).
Try it out: https://runkit.com/jquense/yup#
- Install
- Usage
- API
yup
yup.reach(schema: Schema, path: string, value?: object, context?: object): Schema
yup.addMethod(schemaType: Schema, name: string, method: ()=> Schema): void
yup.ref(path: string, options: { contextPrefix: string }): Ref
yup.lazy((value: any) => Schema): Lazy
ValidationError(errors: string | Array<string>, value: any, path: string)
- mixed
mixed.clone(): Schema
mixed.label(label: string): Schema
mixed.meta(metadata: object): Schema
mixed.describe(): SchemaDescription
mixed.concat(schema: Schema): Schema
mixed.validate(value: any, options?: object): Promise<any, ValidationError>
mixed.validateSync(value: any, options?: object): any
mixed.validateAt(path: string, value: any, options?: object): Promise<any, ValidationError>
mixed.validateSyncAt(path: string, value: any, options?: object): any
mixed.isValid(value: any, options?: object): Promise<boolean>
mixed.isValidSync(value: any, options?: object): boolean
mixed.cast(value: any, options = {}): any
mixed.isType(value: any): boolean
mixed.strict(isStrict: boolean = false): Schema
mixed.strip(stripField: boolean = true): Schema
mixed.withMutation(builder: (current: Schema) => void): void
mixed.default(value: any): Schema
mixed.default(): Any
mixed.nullable(isNullable: boolean = true): Schema
mixed.required(message?: string | function): Schema
mixed.notRequired(): Schema
mixed.defined(): Schema
mixed.typeError(message: string): Schema
mixed.oneOf(arrayOfValues: Array<any>, message?: string | function): Schema
Alias:equals
mixed.notOneOf(arrayOfValues: Array<any>, message?: string | function)
mixed.when(keys: string | Array<string>, builder: object | (value, schema)=> Schema): Schema
mixed.test(name: string, message: string | function, test: function): Schema
mixed.test(options: object): Schema
mixed.transform((currentValue: any, originalValue: any) => any): Schema
- string
string.required(message?: string | function): Schema
string.length(limit: number | Ref, message?: string | function): Schema
string.min(limit: number | Ref, message?: string | function): Schema
string.max(limit: number | Ref, message?: string | function): Schema
string.matches(regex: Regex, message?: string | function): Schema
string.matches(regex: Regex, options: { message: string, excludeEmptyString: bool }): Schema
string.email(message?: string | function): Schema
string.url(message?: string | function): Schema
string.uuid(message?: string | function): Schema
string.ensure(): Schema
string.trim(message?: string | function): Schema
string.lowercase(message?: string | function): Schema
string.uppercase(message?: string | function): Schema
- number
number.min(limit: number | Ref, message?: string | function): Schema
number.max(limit: number | Ref, message?: string | function): Schema
number.lessThan(max: number | Ref, message?: string | function): Schema
number.moreThan(min: number | Ref, message?: string | function): Schema
number.positive(message?: string | function): Schema
number.negative(message?: string | function): Schema
number.integer(message?: string | function): Schema
number.truncate(): Schema
number.round(type: 'floor' | 'ceil' | 'trunc' | 'round' = 'round'): Schema
- boolean
- date
- array
- object
- Object schema defaults
object.shape(fields: object, noSortEdges?: Array<[string, string]>): Schema
object.from(fromKey: string, toKey: string, alias: boolean = false): Schema
object.noUnknown(onlyKnownKeys: boolean = true, message?: string | function): Schema
object.camelCase(): Schema
object.constantCase(): Schema
- Extending Schema Types
- TypeScript Support
npm install -S yup
Yup always relies on the Promise
global object to handle asynchronous values as well as Set
and Map
.
For browsers that do not support these, you'll need to include a polyfill, such as core-js:
import 'core-js/es6/promise';
import 'core-js/es6/set';
import 'core-js/es6/map';
If you are using TypeScript installing the Yup typings is recommended
npm install -D @types/yup
You define and create schema objects. Schema objects are immutable, so each call of a method returns a new schema object. When using es module syntax, yup exports everything as a named export
import * as yup from 'yup'; // for everything
// or
import { string, object } from 'yup'; // for only what you need
let yup = require('yup');
let schema = yup.object().shape({
name: yup.string().required(),
age: yup.number().required().positive().integer(),
email: yup.string().email(),
website: yup.string().url(),
createdOn: yup.date().default(function () {
return new Date();
}),
});
// check validity
schema
.isValid({
name: 'jimmy',
age: 24,
})
.then(function (valid) {
valid; // => true
});
// you can try and type cast objects to the defined schema
schema.cast({
name: 'jimmy',
age: '24',
createdOn: '2014-09-23T19:25:25Z',
});
// => { name: 'jimmy', age: 24, createdOn: Date }
If you're looking for an easily serializable DSL for yup schema, check out yup-ast
Allows you to customize the default messages used by Yup, when no message is provided with a validation test. If any message is missing in the custom dictionary the error message will default to Yup's one.
import { setLocale } from 'yup';
setLocale({
mixed: {
default: 'Não é válido',
},
number: {
min: 'Deve ser maior que ${min}',
},
});
// now use Yup schemas AFTER you defined your custom dictionary
let schema = yup.object().shape({
name: yup.string(),
age: yup.number().min(18),
});
schema.validate({ name: 'jimmy', age: 11 }).catch(function (err) {
err.name; // => 'ValidationError'
err.errors; // => ['Deve ser maior que 18']
});
If you need multi-language support, Yup has got you covered. The function setLocale
accepts functions that can be used to generate error objects with translation keys and values. Just get this output and feed it into your favorite i18n library.
import { setLocale } from 'yup';
setLocale({
// use constant translation keys for messages without values
mixed: {
default: 'field_invalid',
},
// use functions to generate an error object that includes the value from the schema
number: {
min: ({ min }) => ({ key: 'field_too_short', values: { min } }),
max: ({ max }) => ({ key: 'field_too_big', values: { max } }),
},
});
// now use Yup schemas AFTER you defined your custom dictionary
let schema = yup.object().shape({
name: yup.string(),
age: yup.number().min(18),
});
schema.validate({ name: 'jimmy', age: 11 }).catch(function (err) {
err.name; // => 'ValidationError'
err.errors; // => [{ key: 'field_too_short', values: { min: 18 } }]
});
The module export.
let yup = require('yup');
yup.mixed;
yup.string;
yup.number;
yup.boolean; // also aliased as yup.bool
yup.date;
yup.object;
yup.array;
yup.reach;
yup.addMethod;
yup.ref;
yup.lazy;
yup.setLocale;
yup.ValidationError;
For nested schemas yup.reach
will retrieve a nested schema based on the provided path.
For nested schemas that need to resolve dynamically, you can provide a value
and optionally
a context
object.
let schema = object().shape({
nested: object().shape({
arr: array().of(object().shape({ num: number().max(4) })),
}),
});
reach(schema, 'nested.arr.num');
reach(schema, 'nested.arr[].num');
reach(schema, 'nested.arr[1].num');
reach(schema, 'nested["arr"][1].num');
Adds a new method to the core schema types. A friendlier convenience method for schemaType.prototype[name] = method
.
yup.addMethod(yup.date, 'format', function (formats, parseStrict) {
return this.transform(function (value, originalValue) {
if (this.isType(value)) return value;
value = Moment(originalValue, formats, parseStrict);
return value.isValid() ? value.toDate() : new Date('');
});
});
Creates a reference to another sibling or sibling descendant field. Refs are resolved at validation/cast time and supported where specified. Refs are evaluated in the proper order so that the ref value is resolved before the field using the ref (be careful of circular dependencies!).
let schema = object({
baz: ref('foo.bar'),
foo: object({
bar: string(),
}),
x: ref('$x'),
});
schema.cast({ foo: { bar: 'boom' } }, { context: { x: 5 } });
// => { baz: 'boom', x: 5, foo: { bar: 'boom' } }
Creates a schema that is evaluated at validation/cast time. Useful for creating recursive schema like Trees, for polymorphic fields and arrays.
CAUTION! When defining parent-child recursive object schema, you want to reset the default()
to undefined
on the child—otherwise the object will infinitely nest itself when you cast it!
let node = object({
id: number(),
child: yup.lazy(() => node.default(undefined)),
});
let renderable = yup.lazy((value) => {
switch (typeof value) {
case 'number':
return number();
case 'string':
return string();
default:
return mixed();
}
});
let renderables = array().of(renderable);
Thrown on failed validations, with the following properties
name
: "ValidationError"path
: a string, indicating where there error was thrown.path
is empty at the root level.errors
: array of error messagesinner
: in the case of aggregate errors, inner is an array ofValidationErrors
throw earlier in the validation chain. When theabortEarly
option isfalse
this is where you can inspect each error thrown, alternatively,errors
will have all of the messages from each inner error.
Creates a schema that matches all types. All types inherit from this base type
let schema = yup.mixed();
schema.isValid(undefined, function (valid) {
valid; // => true
});
Creates a deep copy of the schema. Clone is used internally to return a new schema with every schema state change.
Overrides the key name which is used in error messages.
Adds to a metadata object, useful for storing data with a schema, that doesn't belong the cast object itself.
Collects schema details (like meta, labels, and active tests) into a serializable description object.
SchemaDescription {
type: string,
label: string,
meta: object,
tests: Array<{ name: string, params: object }>
}
Creates a new instance of the schema by combining two schemas. Only schemas of the same type can be concatenated.
Returns the value (a cast value if isStrict
is false
) if the value is valid, and returns the errors otherwise.
This method is asynchronous and returns a Promise object, that is fulfilled with the value, or rejected
with a ValidationError
.
The options
argument is an object hash containing any schema options you may want to override
(or specify for the first time).
Options = {
strict: boolean = false;
abortEarly: boolean = true;
stripUnknown: boolean = false;
recursive: boolean = true;
context?: object;
}
strict
: only validate the input, and skip any coercion or transformationabortEarly
: return from validation methods on the first error rather than after all validations run.stripUnknown
: remove unspecified keys from objects.recursive
: whenfalse
validations will not descend into nested schema (relevant for objects or arrays).context
: any context needed for validating schema conditions (see:when()
)
schema.validate({ name: 'jimmy', age: 24 }).then(function (value) {
value; // => { name: 'jimmy',age: 24 }
});
schema.validate({ name: 'jimmy', age: 'hi' }).catch(function (err) {
err.name; // => 'ValidationError'
err.errors; // => ['age must be a number']
});
Runs validatations synchronously if possible and returns the resulting value,
or throws a ValidationError. Accepts all the same options as validate
.
Synchronous validation only works if there are no configured async tests, e.g tests that return a Promise. For instance this will work:
let schema = number().test(
'is-42',
"this isn't the number i want",
(value) => value != 42,
);
schema.validateSync(23); // throws ValidationError
however this will not:
let schema = number().test('is-42', "this isn't the number i want", (value) =>
Promise.resolve(value != 42),
);
schema.validateSync(42); // throws Error
Validate a deeply nested path within the schema. Similar to how reach
works,
but uses the resulting schema as the subject for validation.
Note! The
value
here is the root value relative to the starting schema, not the value at the nested path.
let schema = object({
foo: array().of(
object({
loose: boolean(),
bar: string().when('loose', {
is: true,
otherwise: (s) => s.strict(),
}),
}),
),
});
let rootValue = {
foo: [{ bar: 1 }, { bar: 1, loose: true }],
};
await schema.validateAt('foo[0].bar', rootValue); // => ValidationError: must be a string
await schema.validateAt('foo[1].bar', rootValue); // => '1'
Same as validateAt
but synchronous.
Returns true
when the passed in value matches the schema. isValid
is asynchronous and returns a Promise object.
Takes the same options as validate()
.
Synchronously returns true
when the passed in value matches the schema.
Takes the same options as validateSync()
and has the same caveats around async tests.
Attempts to coerce the passed in value to a value that matches the schema. For example: '5'
will
cast to 5
when using the number()
type. Failed casts generally return null
, but may also
return results like NaN
and unexpected strings.
options
parameter can be an object containing context
. (For more info on context
see mixed.validate
)
Runs a type check against the passed in value
. It returns true if it matches,
it does not cast the value. When nullable()
is set null
is considered a valid value of the type.
You should use isType
for all Schema type checks.
Sets the strict
option to true
. Strict schemas skip coercion and transformation attempts,
validating the value "as is".
Marks a schema to be removed from an output object. Only works as a nested schema.
let schema = object({
useThis: number(),
notThis: string().strip(),
});
schema.cast({ notThis: 'foo', useThis: 4 }); // => { useThis: 4 }
First the legally required Rich Hickey quote:
If a tree falls in the woods, does it make a sound?
If a pure function mutates some local data in order to produce an immutable return value, is that ok?
withMutation
allows you to mutate the schema in place, instead of the default behavior which clones before each change.
Generally this isn't necessary since the vast majority of schema changes happen during the initial
declaration, and only happen once over the lifetime of the schema, so performance isn't an issue.
However certain mutations do occur at cast/validation time, (such as conditional schema using when()
), or
when instantiating a schema object.
object()
.shape({ key: string() })
.withMutation((schema) => {
return arrayOfObjectTests.forEach((test) => {
schema.test(test);
});
});
Sets a default value to use when the value is undefined
.
Defaults are created after transformations are executed, but before validations, to help ensure that safe
defaults are specified. The default value will be cloned on each use, which can incur performance penalty
for objects and arrays. To avoid this overhead you can also pass a function that returns a new default.
Note that null
is considered a separate non-empty value.
yup.string.default('nothing');
yup.object.default({ number: 5 }); // object will be cloned every time a default is needed
yup.object.default(() => ({ number: 5 })); // this is cheaper
yup.date.default(() => new Date()); // also helpful for defaults that change over time
Calling default
with no arguments will return the current default value
Indicates that null
is a valid value for the schema. Without nullable()
null
is treated as a different type and will fail isType()
checks.
Mark the schema as required. All field values apart from undefined
and null
meet this requirement.
Mark the schema as not required. Passing undefined
as value will not fail validation.
Mark the schema as required but nullable. All field values apart from undefined
meet this requirement.
Define an error message for failed type checks. The ${value}
and ${type}
interpolation can
be used in the message
argument.
Whitelist a set of values. Values added are automatically removed from any blacklist if they are in it.
The ${values}
interpolation can be used in the message
argument.
Note that undefined
does not fail this validator, even when undefined
is not included in arrayOfValues
.
If you don't want undefined
to be a valid value, you can use mixed.required
.
let schema = yup.mixed().oneOf(['jimmy', 42]);
await schema.isValid(42); // => true
await schema.isValid('jimmy'); // => true
await schema.isValid(new Date()); // => false
Blacklist a set of values. Values added are automatically removed from any whitelist if they are in it.
The ${values}
interpolation can be used in the message
argument.
let schema = yup.mixed().notOneOf(['jimmy', 42]);
await schema.isValid(42); // => false
await schema.isValid(new Date()); // => true
Adjust the schema based on a sibling or sibling children fields. You can provide an object
literal where the key is
is value or a matcher function, then
provides the true schema and/or
otherwise
for the failure condition.
is
conditions are strictly compared (===
) if you want to use a different form of equality you
can provide a function like: is: (value) => value == true
.
Like joi you can also prefix properties with $
to specify a property that is dependent
on context
passed in by validate()
or isValid
. when
conditions are additive.
let schema = object({
isBig: boolean(),
count: number()
.when('isBig', {
is: true, // alternatively: (val) => val == true
then: yup.number().min(5),
otherwise: yup.number().min(0),
})
.when('$other', (other, schema) => (other === 4 ? schema.max(6) : schema)),
});
await schema.validate(value, { context: { other: 4 } });
You can also specify more than one dependent key, in which case each value will be spread as an argument.
let schema = object({
isSpecial: boolean(),
isBig: boolean(),
count: number().when(['isBig', 'isSpecial'], {
is: true, // alternatively: (isBig, isSpecial) => isBig && isSpecial
then: yup.number().min(5),
otherwise: yup.number().min(0),
}),
});
await schema.validate({
isBig: true,
isSpecial: true,
count: 10,
});
Alternatively you can provide a function that returns a schema (called with the value of the key and the current schema).
let schema = yup.object({
isBig: yup.boolean(),
count: yup.number().when('isBig', (isBig, schema) => {
return isBig ? schema.min(5) : schema.min(0);
}),
});
await schema.validate({ isBig: false, count: 4 });
Adds a test function to the validation chain. Tests are run after any object is cast. Many types have some tests built in, but you can create custom ones easily. In order to allow asynchronous custom validations all (or no) tests are run asynchronously. A consequence of this is that test execution order cannot be guaranteed.
All tests must provide a name
, an error message
and a validation function that must return
true
or false
or a ValidationError
. To make a test async return a promise that resolves true
or false
or a ValidationError
.
for the message
argument you can provide a string which will interpolate certain values
if specified using the ${param}
syntax. By default all test messages are passed a path
value
which is valuable in nested schemas.
the test
function is called with the current value
. For more advanced validations you can
use the alternate signature to provide more options (see below):
let jimmySchema = string().test(
'is-jimmy',
'${path} is not Jimmy',
value => value === 'jimmy',
);
// or make it async by returning a promise
let asyncJimmySchema = string().test(
'is-jimmy',
'${path} is not Jimmy',
async (value) => (await fetch('/is-jimmy/' + value)).responseText === 'true',
});
await schema.isValid('jimmy'); // => true
await schema.isValid('john'); // => false
test functions are called with a special context, or this
value, that exposes some useful metadata and functions. Note that to use the this
context the test function must be a function expression (function test(value) {}
), not an arrow function, since arrow functions have lexical context.
this.path
: the string path of the current validationthis.schema
: the resolved schema object that the test is running against.this.options
: theoptions
object that validate() or isValid() was called withthis.parent
: in the case of nested schema, this is the value of the parent objectthis.createError(Object: { path: String, message: String, params: Object })
: create and return a validation error. Useful for dynamically setting thepath
,params
, or more likely, the errormessage
. If either option is omitted it will use the current path, or default message.
Alternative test(..)
signature. options
is an object containing some of the following options:
Options = {
// unique name identifying the test
name: string;
// test function, determines schema validity
test: (value: any) => boolean;
// the validation error message
message: string;
// values passed to message for interpolation
params: ?object;
// mark the test as exclusive, meaning only one of the same can be active at once
exclusive: boolean = false;
}
In the case of mixing exclusive and non-exclusive tests the following logic is used. If a non-exclusive test is added to a schema with an exclusive test of the same name the exclusive test is removed and further tests of the same name will be stacked.
If an exclusive test is added to a schema with non-exclusive tests of the same name the previous tests are removed and further tests of the same name will replace each other.
let max = 64;
let schema = yup.mixed().test({
name: 'max',
exclusive: true,
params: { max },
message: '${path} must be less than ${max} characters',
test: (value) => value == null || value.length <= max,
});
Adds a transformation to the transform chain. Transformations are central to the casting process,
default transforms for each type coerce values to the specific type (as verified by isType()
). transforms are run before validations and only applied when the schema is not marked as strict
(the default). Some types have built in transformations.
Transformations are useful for arbitrarily altering how the object is cast, however, you should take care
not to mutate the passed in value. Transforms are run sequentially so each value
represents the
current state of the cast, you can use the originalValue
param if you need to work on the raw initial value.
let schema = string().transform(function (value, originalvalue) {
return this.isType(value) && value !== null ? value.toUpperCase() : value;
});
schema.cast('jimmy'); // => 'JIMMY'
Each types will handle basic coercion of values to the proper type for you, but occasionally you may want to adjust or refine the default behavior. For example, if you wanted to use a different date parsing strategy than the default one you could do that with a transform.
module.exports = function (formats = 'MMM dd, yyyy') {
return date().transform(function (value, originalvalue) {
// check to see if the previous transform already parsed the date
if (this.isType(value)) return value;
// the default coercion failed so let's try it with Moment.js instead
value = Moment(originalValue, formats);
// if it's valid return the date object, otherwise return an `InvalidDate`
return value.isValid() ? value.toDate() : new Date('');
});
};
Define a string schema. Supports all the same methods as mixed
.
let schema = yup.string();
await schema.isValid('hello'); // => true
By default, the cast
logic of string
is to call toString
on the value if it exists.
empty values are not coerced (use ensure()
to coerce empty values to empty strings).
Failed casts return the input value.
The same as the mixed()
schema required, except that empty strings are also considered 'missing' values.
Set a required length for the string value. The ${length}
interpolation can be used in the message
argument
Set a minimum length limit for the string value. The ${min}
interpolation can be used in the message
argument
Set a maximum length limit for the string value. The ${max}
interpolation can be used in the message
argument
Provide an arbitrary regex
to match the value against.
let schema = string().matches(/(hi|bye)/);
await schema.isValid('hi'); // => true
await schema.isValid('nope'); // => false
An alternate signature for string.matches
with an options object. excludeEmptyString
, when true,
short circuits the regex test when the value is an empty string
let schema = string().matches(/(hi|bye)/, { excludeEmptyString: true });
await schema.isValid(''); // => true
Validates the value as an email address via a regex.
Validates the value as a valid URL via a regex.
Validates the value as a valid UUID via a regex.
Transforms undefined
and null
values to an empty string along with
setting the default
to an empty string.
Transforms string values by removing leading and trailing whitespace. If
strict()
is set it will only validate that the value is trimmed.
Transforms the string value to lowercase. If strict()
is set it
will only validate that the value is lowercase.
Transforms the string value to uppercase. If strict()
is set it
will only validate that the value is uppercase.
Define a number schema. Supports all the same methods as mixed
.
let schema = yup.number();
await schema.isValid(10); // => true
The default cast
logic of number
is: parseFloat
.
Failed casts return NaN
.
Set the minimum value allowed. The ${min}
interpolation can be used in the
message
argument.
Set the maximum value allowed. The ${max}
interpolation can be used in the
message
argument.
Value must be less than max
. The ${less}
interpolation can be used in the
message
argument.
Value must be strictly greater than min
. The ${more}
interpolation can be used in the
message
argument.
Value must be a positive number.
Value must be a negative number.
Validates that a number is an integer.
Transformation that coerces the value to an integer by stripping off the digits to the right of the decimal point.
Adjusts the value via the specified method of Math
(defaults to 'round').
Define a boolean schema. Supports all the same methods as mixed
.
let schema = yup.boolean();
await schema.isValid(true); // => true
Define a Date schema. By default ISO date strings will parse correctly,
for more robust parsing options see the extending schema types at the end of the readme.
Supports all the same methods as mixed
.
let schema = yup.date();
await schema.isValid(new Date()); // => true
The default cast
logic of date
is pass the value to the Date
constructor, failing that, it will attempt
to parse the date as an ISO date string.
Failed casts return an invalid Date.
Set the minimum date allowed. When a string is provided it will attempt to cast to a date first and use the result as the limit.
Set the maximum date allowed, When a string is provided it will attempt to cast to a date first and use the result as the limit.
Define an array schema. Arrays can be typed or not, When specifying the element type, cast
and isValid
will apply to the elements as well. Options passed into isValid
are passed also passed to child schemas.
Supports all the same methods as mixed
.
let schema = yup.array().of(yup.number().min(2));
await schema.isValid([2, 3]); // => true
await schema.isValid([1, -24]); // => false
schema.cast(['2', '3']); // => [2, 3]
You can also pass a subtype schema to the array constructor as a convenience.
array().of(yup.number());
// or
array(yup.number());
The default cast
behavior for array
is: JSON.parse
Failed casts return: null
;
Specify the schema of array elements. of()
is optional and when omitted the array schema will
not validate its contents.
The same as the mixed()
schema required, except that empty arrays are also considered 'missing' values.
Set a minimum length limit for the array. The ${min}
interpolation can be used in the message
argument.
Set a maximum length limit for the array. The ${max}
interpolation can be used in the message
argument.
Ensures that the value is an array, by setting the default to []
and transforming null
and undefined
values to an empty array as well. Any non-empty, non-array value will be wrapped in an array.
array().ensure().cast(null); // => []
array().ensure().cast(1); // => [1]
array().ensure().cast([1]); // => [1]
Removes falsey values from the array. Providing a rejecter function lets you specify the rejection criteria yourself.
array().compact().cast(['', 1, 0, 4, false, null]); // => [1, 4]
array()
.compact(function (v) {
return v == null;
})
.cast(['', 1, 0, 4, false, null]); // => ['', 1, 0, 4, false]
Define an object schema. Options passed into isValid
are also passed to child schemas.
Supports all the same methods as mixed
.
yup.object().shape({
name: string().required(),
age: number().required().positive().integer(),
email: string().email(),
website: string().url(),
});
You can also pass a shape to the object constructor as a convenience.
object().shape({
num: number(),
});
// or
object({
num: number(),
});
The default cast
behavior for object
is: JSON.parse
Failed casts return: null
;
Object schema come with a default value already set, which "builds" out the object shape, a sets any defaults for fields:
const schema = object({
name: string().default(''),
});
schema.default(); // -> { name: '' }
This may be a bit suprising, but is generally very helpful since it allows large, nested schema to create default values that fill out the whole shape and not just the root object. There is one gotcha! though. For nested object schema that are optional but include non optional fields may fail in unexpected ways:
const schema = object({
id: string().required(),
names: object({
first: string().required(),
}),
});
schema.isValid({ id: 1 }); // false! names.first is required
This is because yup casts the input object before running validation which will produce:
{ id: '1', names: { first: undefined }}
During the validation phase names
exists, and is validated, finding names.first
missing.
If you wish to avoid this behavior do one of the following:
- Set the nested default to undefined:
names.default(undefined)
- mark it nullable and default to null:
names.nullable().default(null)
Define the keys of the object and the schemas for said keys.
Note that you can chain shape
method, which acts like object extends, for example:
object({
a: string(),
b: number(),
}).shape({
b: string(),
c: number(),
});
would be exactly the same as:
object({
a: string(),
b: string(),
c: number(),
});
Transforms the specified key to a new key. If alias
is true
then the old key will be left.
let schema = object({
myProp: mixed(),
Other: mixed(),
})
.from('prop', 'myProp')
.from('other', 'Other', true);
schema.cast({ prop: 5, other: 6 }); // => { myProp: 5, other: 6, Other: 6 }
Validate that the object value only contains keys specified in shape
, pass false
as the first
argument to disable the check. Restricting keys to known, also enables stripUnknown
option, when not in strict mode.
Transforms all object keys to camelCase
Transforms all object keys to CONSTANT_CASE.
The simplest way to extend an existing type is just to cache a configured schema and use that through your application.
let yup = require('yup');
let parseFormats = ['MMM dd, yyy'];
let invalidDate = new Date('');
module.exports = yup.date().transform(function (value, originalValue) {
if (this.isType(value)) return value;
// the default coercion transform failed so let's try it with Moment instead
value = Moment(originalValue, parseFormats);
return value.isValid() ? value.toDate() : invalidDate;
});
Alternatively, each schema is a normal JavaScript constructor function that you can mutate or delegate to
using the normal patterns. Generally you should not inherit from mixed
unless you know what you are doing,
better to think of it as an abstract class. The other types are fair game though.
You should keep in mind some basic guidelines when extending schemas:
- never mutate an existing schema, always
clone()
and then mutate the new one before returning it. Built-in methods liketest
andtransform
take care of this for you, so you can safely use them (see below) without worrying - transforms should never mutate the
value
passed in, and should return an invalid object when one exists (NaN
,InvalidDate
, etc) instead ofnull
for bad values. - by the time validations run the
value
is guaranteed to be the correct type, however ifnullable
is set thennull
is a valid value for that type, so don't assume that a property or method exists on the value.
Adjust core Types
let invalidDate = new Date('');
function parseDateFromFormats(formats, parseStrict) {
return this.transform(function (value, originalValue) {
if (this.isType(value)) return value;
value = Moment(originalValue, formats, parseStrict);
return value.isValid() ? value.toDate() : invalidDate;
});
}
// `addMethod` doesn't do anything special; it's
// equivalent to: yup.date.prototype.format = parseDateFromFormats
yup.addMethod(yup.date, 'format', parseDateFromFormats);
Creating new Types
Yup schema use the common constructor pattern for modeling inheritance. You can use any utility or pattern that works with that pattern. The below demonstrates using the ES6 class syntax since it's less verbose, but you absolutely aren't required to use it.
let DateSchema = yup.date;
let invalidDate = new Date(''); // our failed to coerce value
class MomentDateSchemaType extends DateSchema {
constructor() {
super();
this._validFormats = [];
this.withMutation(() => {
this.transform(function (value, originalvalue) {
if (this.isType(value))
// we have a valid value
return value;
return Moment(originalValue, this._validFormats, true);
});
});
}
_typeCheck(value) {
return (
super._typeCheck(value) || (moment.isMoment(value) && value.isValid())
);
}
format(formats) {
if (!formats) throw new Error('must enter a valid format');
let next = this.clone();
next._validFormats = {}.concat(formats);
}
}
let schema = new MomentDateSchemaType();
schema.format('YYYY-MM-DD').cast('It is 2012-05-25'); // => Fri May 25 2012 00:00:00 GMT-0400 (Eastern Daylight Time)
If you are using TypeScript installing the Yup typings is recommended:
npm install -D @types/yup
You can now infer a TypeScript type alias using the exported InferType
. Given the following Yup schema:
import * as yup from 'yup';
const personSchema = yup.object({
firstName: yup
.string()
// Here we use `defined` instead of `required` to more closely align with
// TypeScript. Both will have the same effect on the resulting type by
// excluding `undefined`, but `required` will also disallow other values
// such as empty strings.
.defined(),
nickName: yup
.string()
.defined()
.nullable(),
gender: yup
.mixed()
// Note `as const`: this types the array as `["male", "female", "other"]`
// instead of `string[]`.
.oneOf(['male', 'female', 'other'] as const)
.defined(),
email: yup
.string()
.nullable()
.notRequired()
.email(),
birthDate: yup
.date()
.nullable()
.notRequired()
.min(new Date(1900, 0, 1)),
}).defined();
You can derive the TypeScript type as follows:
type Person = yup.InferType<typeof personSchema>;
Which is equivalent to the following TypeScript type alias:
type Person = {
firstName: string;
nickName: string | null;
gender: "male" | "female" | "other";
email?: string | null | undefined;
birthDate?: Date | null | undefined;
}
Making the following objects valid both for TypeScript and Yup validation:
const minimalPerson: Person = {
firstName: "Matt",
nickName: null,
gender: "male"
};
const fullPerson: Person = {
firstName: "Matt",
nickName: "The Hammer",
gender: "male",
email: "[email protected]",
birthDate: new Date(1976, 9, 5)
};
You can also go the other direction, specifying an interface and ensuring that a schema matches it:
type Person = {
firstName: string;
}
// ✔️ compiles
const goodPersonSchema: yup.ObjectSchema<Person> = yup.object({
firstName: yup.string().defined()
}).defined();
// ❌ errors:
// "Type 'number | undefined' is not assignable to type 'string'."
const badPersonSchema: yup.ObjectSchema<Person> = yup.object({
firstName: yup.number()
});
For yup.InferType<T>
to work correctly with required and nullable types you have to set strict: true
or strictNullChecks: true
in your tsconfig.json.