Schema to Yup schema
Build a Yup schema from a JSON Schema, GraphQL schema (type definition) or any other similar type/class and field/properties model or schema :)
See Advanced config for all the more advanced configuration options available to customize this builder to support any of your requirements.
JSON schema
The builder currently supports the most commonly used JSON Schema layout
To support other schemas see Advanced config
Typescript and Typings
You can use the YupBuilderConfig
and TypeHandlerConfig
type interfaces to facilitate building up the config
object to pass to the YupBuilder
.
Quick start
Install
npm install schema-to-yup -S
or yarn add schema-to-yup
Create a JSON schema to validate against
const schema = {
$schema: "http://json-schema.org/draft-07/schema#",
$id: "http://example.com/person.schema.json",
title: "Person",
description: "A person",
type: "object",
properties: {
name: {
description: "Name of the person",
type: "string",
},
email: {
type: "string",
format: "email",
},
foobar: {
type: "string",
matches: "(foo|bar)",
},
age: {
description: "Age of person",
type: "number",
exclusiveMinimum: 0,
required: true,
},
characterType: {
enum: ["good", "bad"],
enum_titles: ["Good", "Bad"],
type: "string",
title: "Type of people",
propertyOrder: 3,
},
},
required: ["name", "email"],
};
Create a config
object to configure details of your validation
const config = {
// for error messages...
errMessages: {
age: {
required: "A person must have an age",
},
email: {
required: "You must enter an email address",
format: "Not a valid email address",
},
},
};
Create the yup schema using the builder method buildYup
const { buildYup } = require("schema-to-yup");
const yupSchema = buildYup(schema, config);
Use the yup schema methods such as isValid
to validate
// console.dir(schema)
const valid = await yupSchema.isValid({
name: "jimmy",
age: 24,
});
console.log({
valid,
});
// => {valid: true}
The above example would generate the following sort of Yup validation schema:
const schema = yup.object().shape({
name: yup.string().required(),
age: yup.number().required().positive(),
// ...
});
Refs
Please note that this library does not currently resolve $ref
(JSON Pointers) out of the box. You can use another library for that.
You could f.ex use json-schema-ref-parser to preprocess your schema. Also see:
Mode
By default, any property will be explicitly notRequired
unless set to be required, either via required: true
in the property constraint object or via the required
list of properties of the object
schema definition (of the property).
You can override the notRequired
behavior by setting it on the new mode
object of the configuration which can be used to control and fine-tune runtime behaviour.
const jsonSchema = {
title: "users",
type: "object",
properties: {
username: { type: "string" },
},
};
const yupSchema = buildYup(jsonSchema, {
mode: {
notRequired: true, // default setting
},
});
// will be valid since username is not required by default
const valid = yupSchema.validateSync({
foo: "dfds",
});
const yupSchema = buildYup(jsonSchema, {
mode: {
notRequired: true, // default setting
},
});
// will be invalid since username is required by default when notRequired mode is disabled
const valid = yupSchema.validateSync({
foo: "dfds",
});
The new run time mode settings are demonstrated under sample-runs/mode
No validation error (prop not required unless explicitly specified):
$ npx babel-node sample-runs/modes/not-required-on.js
Validation error if not valid type:
$ npx babel-node sample-runs/modes/not-required-on.js
Shape
You can access the internal Yup shape, via shapeConfig
on the yup schema returned by the buildYup
schema builder function. Alternatively simply call propsToShape()
on the yup builder.
This allows you to easily mix and match to suit more advanced requirements.
const { buildYup } = require("json-schema-to-yup");
const { shapeConfig } = buildYup(json, config);
// alternatively
// const shape = buildYup(json, config).propsToShape()
const schema = yup.object().shape({
...shapeConfig,
...customShapeConfig,
});
Types
Currently the following schema types are supported:
array
boolean
date
number
object
string
Mixed (any type)
strict
default
nullable
const
required
notRequired
oneOf
(enum
,anyOf
)notOneOf
refValueFor
for confirm password scenariotypeError
custom type error messagewhen
isType
nullable
(isNullable
)
Reference constraints
Reference constraints within the schema can be defined as follows:
schema = {
required: ["startDate", "endDate"],
type: "object",
properties: {
startDate: {
type: "number",
},
endDate: {
type: "number",
min: "startDate",
},
},
};
Internally this will be resolved using Yup.ref
as documented here in the Yup readme.
ref
allows you to reference the value of a sibling (or sibling descendant) field to validate the current field.
Yup.ref
is supported in the Yup docs for the following:
- string: .length, .min, .max
- number: .min, .max, .lessThan, .moreThan
- date: .min, .max
- array: .length, .min, .max
Array
ensure
compact
items
(of
)maxItems
(max
)minItems
(min
)itemsOf
(of
)
Boolean
No keys
Date
maxDate
(max
)minDate
(min
)
Number
integer
moreThan
(exclusiveMinimum
)lessThan
(exclusiveMaximum
)positive
negative
min
(minimum
)max
(maximum
)truncate
round
Object
camelCase
constantCase
noUnknown
(propertyNames
)
String
minLength
(min
)maxLength
(max
)pattern
(matches
orregex
)email
(format: 'email'
)url
(format: 'url'
)lowercase
uppercase
trim
For pattern (RegExp) you can additionally provide a flags property, such as flags: 'i'
. This will be converted to a RegExp
using new RegExp(pattern, flags)
For the pattern
constraint you can also pass in excludeEmptyString
to exclude empty string from being evaluated as a pattern constraints.
Similar projects
- JSON schema to Elastic Search mapping
- JSON Schema to GraphQL types with decorators/directives
- JSON Schema to Mongoose schema
- JSON Schema to MobX State Tree types
- Convert JSON schema to mongoose 5 schema
The library JSON Schema model builder is a powerful toolset to build a framework to create any kind of output model from a JSON schema.
If you enjoy this declarative/generator approach, try it out!
Advanced config
See Advanced config
Testing
Uses jest for unit testing.
- Have unit tests that cover most of the constraints supported.
- Could use some refactoring using the latest infrastructure (see
NumericConstraint
) - Please help add more test coverage and help refactor to make this lib even more awesome :)
Development
A new version is under development at schema-to-yup-mono which is this code ported to a lerna monorepo with a cleaner, mode modular structyure. More work needs to be done in terms of TDD and unit testing. Ideally this repo should be ported to Nx
Ideas and suggestions
Please feel free to come with ideas and suggestions on how to further improve this library.
Author
2018 Kristian Mandrup (CTO@Tecla5)