19json-validator
Simple JSON schema validator.
Install
$ npm install 19json-validatorUsage
// import
const Validator = require('19json-validator');
// input
const input = {
id: 1,
name: 'tom',
email: 'tom@example.com',
description: '1a student',
emailAgent: 'gmail',
mother: null,
father: {
name: 'father tom',
age: 48
},
skills: [
'read',
'write',
'speak'
],
orderBy: '[{"field":"id","direction":"asc"}]'
};
// schema
const schema = {
// id field
id: {
// is optional
optional: true,
// allow type
type: ['number', 'string'],
// regexp
regex: /^[1-9][0-9]*$/
},
// name field
name: {
// optional when id present
optional: input.hasOwnProperty('id'),
// type
type: 'string',
// not allow empty
empty: false
},
// email field
email: {
// optional when id present
optional: input.hasOwnProperty('id'),
// is email
isEmail: true
},
// description field
description: {
// optional when id present
optional: input.hasOwnProperty('id'),
// type
type: 'string',
// allow empty
empty: true
},
emailAgent:{
inValues: [
'gmail',
'ymail',
'hotmail'
]
},
// mother field
mother: {
// optional
optional: true,
// nullable
nullable: true,
// is json
isJson: true,
// child schema
childSchema: {
// child name field
name: {
type: 'string'
},
// child age field
age: {
// type
type: ['number', 'string'],
// regex
regex: /^[1-9][0-9]*$/
}
}
},
// father field
father: {
// optional
optional: true,
// nullable
nullable: true,
// is json
isJson: true,
// child schema
childSchema: {
// child name field
name: {
type: 'string'
},
// child age field
age: {
// type
type: ['number', 'string'],
// regex
regex: /^[1-9][0-9]*$/
}
}
},
// skills field
skills: {
// optional
optional: true,
// is array
isArray: true,
// check for each children element
childrenSchema: {
// check directly input value
direct: true,
// type
type: 'string'
}
},
// orderBy field
orderBy: {
// optional
optional: true,
// is array
isArray: true,
// check for each children element
childrenSchema: {
// elements field
field: {
type: 'string'
},
// elements direction
direction: {
// type
type: 'string',
// regexp
regex: /^(a|de)sc$/
}
}
}
};
try {
// do validation
Validator.validate(input, schema);
} catch(err) {
// log error
console.error(err);
}Test
$ npm testUsage
validate(input, schema, options)
Schema config
The following config options can help you to build your own json check schema for validation.
optional (boolean, default: false)
true = allow target key missing, false = must contain key.
nullable (boolean)
true = allow target value is (null) object or 'null' string, false = target value must not equal to (null) object or 'null' string.
type (string | array<string>)
restrict target value of key should equal to given types, use underlying typeof to perform type checking.
regex (object instanceof RegExp)
restrict target value of key should match to given regular expression, this checking will add a empty string to the end of the value for non-string value.
empty (boolean, default: true)
true = accept empty value, false = reject empty value.
isArray (boolean, default: false)
true = value must be a valid array object or a valid json array string.
isJson (boolean, default: false)
true = value must be a valid object or a valid json object string.
isEmail (boolean, default: false)
true = input value must be in valid email format.
childSchema (object)
check input value with provided child schema, use for nested json object structure.
childrenSchema (object)
check input (array) values with provided child schema, use for json array checking.
direct (boolean, default: false)
true = use schema to check the input value directly, use for non-object input checking.
options
allowExtraProperties (boolean, default: true)
true = allow properties that not defined in schema, false = do not allow properties that not defined in schema