Build a Yup schema from a JSON Schema :)
The builder currently supports the most commonly used JSON Schema layout.
It also supports some extra convenience schema properties that make it more "smooth" to define validation requirements declaratively (see below).
Note that if you use these extra properties, the JSON Schema is no longer valid if used in a context where JSON Schema validation is performed.
We could later support normalization and de-normalization of a JSON Schema (if requested by the community).
Install
npm install json-schema-to-yup -S
or yarn add json-schema-to-yup
Use
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"
},
fooorbar: {
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"]
};
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"
}
}
};
const { buildYup } = require("json-schema-to-yup");
const yupSchema = buildYup(json, config);
// console.dir(schema)
const valid = await yupSchema.isValid({
name: "jimmy",
age: 24
});
console.log({
valid
});
// => {valid: true}
This would generate the following Yup validation schema:
const schema = yup.object().shape({
name: yup.string().required(),
age: yup
.number()
.required()
.positive()
});
Note the "required": true
for the age
property (not natively supported by JSON schema).
strict
default
nullable
required
notRequired
oneOf
(enum
)notOneOf
ensure
compact
items
(of
)maxItems
(max
)minItems
(min
)
No keys
maxDate
(max
)minDate
(min
)
integer
moreThan
(exclusiveMinimum
)lessThan
(exclusiveMaximum
)positive
negative
min
(minimum
)max
(maximum
)truncate
round
camelCase
constantCase
noUnknown
(propertyNames
)
minLength
(min
)maxLength
(max
)pattern
(matches
orregex
)email
(format: 'email'
)url
(format: 'url'
)lowercase
uppercase
trim
Here a more complete example of the variations currently possible
{
"title": "Person",
"description": "A person",
"type": "object",
"properties": {
"name": {
"description": "Name of the person",
"type": "string",
"required": true,
"matches": "[a-zA-Z- ]+",
"mix": 3,
"maxLength": 40,
},
"age": {
"description": "Age of person",
"type": "integer",
"moreThan": 0,
"max": 130,
"default": 32,
"required": false,
"nullable": true
},
"birthday": {
"type": "date",
"min": "1-1-1900",
"maxDate": "1-1-2015"
},
"married": {
"type": "boolean"
},
"boss": {
"type": "object",
"noUnknown": [
"name"
],
"properties": {
"name": {
"type": "string",
"notOneOf": ["Dr. evil", "bad ass"]
}
}
},
"colleagues": {
"type": "array",
"items": {
"type": "object",
"propertyNames": [
"name"
],
"properties": {
"name": {
"type": "string"
}
}
}
},
"programming": {
"type": "object",
"properties": {
"languages": {
"type": "array",
"of": {
"type": "string",
"enum": ["javascript", "java", "C#"]
},
"min": 1,
"max": 3
}
}
}
}
}
}
This library now also supports non JSON schema models. See the types/defaults
mappings.
types/defaults/json-schema.js
module.exports {
getProps: obj => obj.properties,
getType: obj => obj.type,
getName: obj => obj.name || obj.title,
getConstraints: obj => obj,
isString: obj => obj.type === "string",
isArray: obj => obj.type === "array",
isInteger: obj => obj.type === "integer",
isBoolean: obj => obj.type === "boolean",
hasDateFormat: obj => ["date", "date-time"].find(t => t === obj.format),
isDate: obj => obj.type === "string" && defaults.hasDateFormat(obj.format),
isNumber: obj => obj.type === "number" || defaults.isInteger(obj.type),
isObject: obj => obj.type === "object",
isRequired: obj => obj.required
};
To support another model, such as GraphQL typedefs via graphSchemaToJson
Person
{
Person: {
name: 'Person',
fields: {
name: {
type: 'String',
directives: {
constraints: {
minLength: 2
}
},
isNullable: false,
isList: false
}
}
directives: {},
type: 'Object',
implements: []
}
}
Create a map of methods to match your model layout:
const typeDefConf = {
getProps: obj => obj.fields,
getType: obj => obj.type,
getName: obj => obj.name,
getConstraints: obj => (obj.directives || {}).constraints || {},
isString: obj => obj.type === "String",
isArray: obj => obj.isList,
isInteger: obj => obj.type === "Int",
isBoolean: obj => obj.type === "Boolean",
isDate: obj => obj.type === "Date" || obj.directives.date,
isNumber: obj => obj.type === "Int" || obj.type === "Float",
isObject: obj => obj.type === "Object",
isRequired: obj => !obj.isNullable
};
Please note that getConstraints
can be used to control where the constraints of the field will be taken from (depending on the type of model/schema or your preference).
Pass overrides to match your model in config
as follows:
const schema = buildYup(nameJsonSchema, { ...typeDefConf, log: true });
The type definition mappings above are already built-in and available.
To switch the schema type, pass schemaType
in config as follows.
const schema = buildYup(nameJsonSchema, { schemaType: "type-def", log: true });
Feel free to make PRs to make more common schema models conveniently available!
You can enable logging py passing a log
option in the config
argument. If set to true, it will by default assign the internal log function to console.log
const schema = buildYup(nameJsonSchema, { log: true });
You can also pass a log function in the log
option to handle log messages and an err
option with a custom error handler function.
See Custom errors in Node for how to design custom errors
class ValidationError extends Error {}
const schema = buildYup(nameJsonSchema, {
log: (name, msg) => console.log(`[${name}] ${msg}`)
err: (msg) => {
console.error(`[${name}] ERROR: ${msg}`
throw new ValidationError(msg)
})
});
You can supply a createYupSchemaEntry
function as an entry in the config
object.
This function will then be used to build each Yup Schema entry in the Yup Schema being built.
Use the Yup Type classes such as types.YupArray
to act as building blocks or create your own custom logic as you see fit.
const { YupSchemaEntry, buildYup, types } = require("json-schema-to-yup");
class CustomYupArray extends types.YupArray {
// ...
}
class CustomYupSchemaEntry extends YupSchemaEntry {
// ...
}
function createYupSchemaEntry(key, value, config) {
const builder = new CustomYupSchemaEntryBuilder(key, value, config);
builder.types.array = config => createYupArray(config);
return builder.toEntry();
}
// use some localized error messages
const messages = i18n.locale(LOCALE);
const yupSchema = buildYup(json, {
createYupSchemaEntry,
messages
});
You can use extendYupApi
to extend the Yup API with extra validation methods:
const validator = require("validator");
const { extendYupApi } = require("json-schema-to-yup/validator-bridge");
// by default extends with string format validation methods of validator
// See https://www.npmjs.com/package/validator
extendYupApi({ validator });
You can optionally pass in a custom validator
and a constraints map of your choice.
You can either extend the default constraints or override them with your own map.
PS: Check out src/validator-bridge
for more many options for fine control
const myValidator = new MyValidator();
const constraints = ["creditCard", "currency", { name: "hash", opts: "algo" }];
extendYupApi({ validator: myValidator, override: true, constraints });
const { buildYup } = require("json-schema-to-yup");
// type def sample schema, using credit-card format validator
const schema = {
name: "BankAccount",
fields: {
accountNumber: {
type: "String",
format: "credit-card"
}
}
};
// opt in to use generic string format validation, via format: true config option
const yupSchema = buildYup(schema, { format: true, schemaType: "type-def" });
// ...do your validation
const valid = await yupSchema.isValid({
accountNumber: "123-4567-1828-2929"
});
Now the bridge includes tests. Seems to work ;)
You can sublass YupBuilder
or any of the internal classes to create your own custom infrastructure to suit your particular needs, expand with support for extra features etc.
const { YupBuilder } = require("json-schema-to-yup");
class MyYupBuilder extends YupBuilder {
// ... custom overrides etc
}
const builder = new MyYupBuilder(schema, config);
const { yupSchema } = builder;
// ...
You can pass an errMessages
object in the optional config
object argument with key mappings for your custom validation error messages.
Internally the validator error messages are resolved with the instance method valErrMessage
(from Mixed
class)
notOneOf() {
const {not, notOneOf} = this.value
const $oneOf = notOneOf || (not && (not.enum || not.oneOf))
$oneOf && this
.base
.notOneOf($oneOf, this.valErrMessage('notOneOf'))
return this
}
The key entries can be either a function, taking a value
argument or a static string.
Here are some of the defaults that you can override as needed.
export const errValKeys = [
"oneOf",
"enum",
"required",
"notRequired",
"minDate",
"min",
"maxDate",
"max",
"trim",
"lowercase",
"uppercase",
"email",
"url",
"minLength",
"maxLength",
"pattern",
"matches",
"regex",
"integer",
"positive",
"minimum",
"maximum"
];
export const defaults = {
errMessages: (keys = errValKeys) =>
keys.reduce((acc, key) => {
const fn = ({ key, value }) =>
`${key}: invalid for ${value.name || value.title}`;
acc[key] = fn;
return acc;
}, {})
};
const { buildYup, types } = require("json-schema-to-yup");
const { defaults } = types;
const myErrMessages = require("./err-messages");
const valKeys = ["lowercase", "integer"];
// by default Yup built-in validation error messages will be used if not overridden here
const errMessages = {
...defaults.errMessages(valKeys),
myErrMessages
};
const yupSchema = buildYup(json, {
errMessages
});
- 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!
Uses jest for unit testing.
- Currently not well tested.
- Need to add unit tests for all types (see
test/types
for current WIP) - Please help add more test coverage :)
2018 Kristian Mandrup (CTO@Tecla5)
MIT