schema-typed
v2.2.2
Published
Schema for data modeling & validation
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Readme
schema-typed
Schema for data modeling & validation
Table of Contents
- Installation
- Usage
- API
- SchemaModel
- MixedType()
isRequired(errorMessage?: string, trim: boolean = true)
isRequiredOrEmpty(errorMessage?: string, trim: boolean = true)
addRule(onValid: Function, errorMessage?: string, priority: boolean)
addAsyncRule(onValid: Function, errorMessage?: string, priority: boolean)
when(condition: (schemaSpec: SchemaDeclaration<DataType, ErrorMsgType>) => Type)
check(value: ValueType, data?: DataType):CheckResult
checkAsync(value: ValueType, data?: DataType):Promise<CheckResult>
label(label: string)
equalTo(fieldName: string, errorMessage?: string)
proxy(fieldNames: string[], options?: { checkIfValueExists?: boolean })
- StringType(errorMessage?: string)
isEmail(errorMessage?: string)
isURL(errorMessage?: string)
isOneOf(items: string[], errorMessage?: string)
containsLetter(errorMessage?: string)
containsUppercaseLetter(errorMessage?: string)
containsLowercaseLetter(errorMessage?: string)
containsLetterOnly(errorMessage?: string)
containsNumber(errorMessage?: string)
pattern(regExp: RegExp, errorMessage?: string)
rangeLength(minLength: number, maxLength: number, errorMessage?: string)
minLength(minLength: number, errorMessage?: string)
maxLength(maxLength: number, errorMessage?: string)
- NumberType(errorMessage?: string)
- ArrayType(errorMessage?: string)
- DateType(errorMessage?: string)
- ObjectType(errorMessage?: string)
- BooleanType(errorMessage?: string)
- ⚠️ Notes
Installation
npm install schema-typed --save
Usage
Getting Started
import { SchemaModel, StringType, DateType, NumberType, ObjectType, ArrayType } from 'schema-typed';
const model = SchemaModel({
username: StringType().isRequired('Username required'),
email: StringType().isEmail('Email required'),
age: NumberType('Age should be a number').range(18, 30, 'Over the age limit'),
tags: ArrayType().of(StringType('The tag should be a string').isRequired()),
role: ObjectType().shape({
name: StringType().isRequired('Name required'),
permissions: ArrayType().isRequired('Permissions required')
})
});
const checkResult = model.check({
username: 'foobar',
email: '[email protected]',
age: 40,
tags: ['Sports', 'Games', 10],
role: { name: 'administrator' }
});
console.log(checkResult);
checkResult
return structure is:
{
username: { hasError: false },
email: { hasError: false },
age: { hasError: true, errorMessage: 'Over the age limit' },
tags: {
hasError: true,
array: [
{ hasError: false },
{ hasError: false },
{ hasError: true, errorMessage: 'The tag should be a string' }
]
},
role: {
hasError: true,
object: {
name: { hasError: false },
permissions: { hasError: true, errorMessage: 'Permissions required' }
}
}
};
Multiple verification
StringType()
.minLength(6, "Can't be less than 6 characters")
.maxLength(30, 'Cannot be greater than 30 characters')
.isRequired('This field required');
Custom verification
Customize a rule with the addRule
function.
If you are validating a string type of data, you can set a regular expression for custom validation by the pattern
method.
const model = SchemaModel({
field1: StringType().addRule((value, data) => {
return /^[1-9][0-9]{3}\s?[a-zA-Z]{2}$/.test(value);
}, 'Please enter legal characters'),
field2: StringType().pattern(/^[1-9][0-9]{3}\s?[a-zA-Z]{2}$/, 'Please enter legal characters')
});
model.check({ field1: '', field2: '' });
/**
{
field1: {
hasError: true,
errorMessage: 'Please enter legal characters'
},
field2: {
hasError: true,
errorMessage: 'Please enter legal characters'
}
};
**/
Field dependency validation
- Use the
equalTo
method to verify that the values of two fields are equal.
const model = SchemaModel({
password: StringType().isRequired(),
confirmPassword: StringType().equalTo('password')
});
- Use the
addRule
method to create a custom validation rule.
const model = SchemaModel({
password: StringType().isRequired(),
confirmPassword: StringType().addRule(
(value, data) => value === data.password,
'Confirm password must be the same as password'
)
});
- Use the
proxy
method to verify that a field passes, and then proxy verification of other fields.
const model = SchemaModel({
password: StringType().isRequired().proxy(['confirmPassword']),
confirmPassword: StringType().equalTo('password')
});
Asynchronous check
For example, verify that the mailbox is duplicated
function asyncCheckEmail(email) {
return new Promise(resolve => {
setTimeout(() => {
if (email === '[email protected]') {
resolve(false);
} else {
resolve(true);
}
}, 500);
});
}
const model = SchemaModel({
email: StringType()
.isEmail('Please input the correct email address')
.addAsyncRule((value, data) => {
return asyncCheckEmail(value);
}, 'Email address already exists')
.isRequired('This field cannot be empty')
});
model.checkAsync({ email: '[email protected]' }).then(checkResult => {
console.log(checkResult);
/**
{
email: {
hasError: true,
errorMessage: 'Email address already exists'
}
};
**/
});
Validate nested objects
Validate nested objects, which can be defined using the ObjectType().shape
method. E.g:
const model = SchemaModel({
id: NumberType().isRequired('This field required'),
name: StringType().isRequired('This field required'),
info: ObjectType().shape({
email: StringType().isEmail('Should be an email'),
age: NumberType().min(18, 'Age should be greater than 18 years old')
})
});
const user = {
id: 1,
name: '',
info: { email: 'schema-type', age: 17 }
};
model.check(data);
/**
{
"id": { "hasError": false },
"name": { "hasError": true, "errorMessage": "This field required" },
"info": {
"hasError": true,
"object": {
"email": { "hasError": true, "errorMessage": "Should be an email" },
"age": { "hasError": true, "errorMessage": "Age should be greater than 18 years old" }
}
}
}
*/
Combine
SchemaModel
provides a static method combine
that can be combined with multiple SchemaModel
to return a new SchemaModel
.
const model1 = SchemaModel({
username: StringType().isRequired('This field required'),
email: StringType().isEmail('Should be an email')
});
const model2 = SchemaModel({
username: StringType().minLength(7, "Can't be less than 7 characters"),
age: NumberType().range(18, 30, 'Age should be greater than 18 years old')
});
const model3 = SchemaModel({
groupId: NumberType().isRequired('This field required')
});
const model4 = SchemaModel.combine(model1, model2, model3);
model4.check({
username: 'foobar',
email: '[email protected]',
age: 40,
groupId: 1
});
API
SchemaModel
SchemaModel is a JavaScript schema builder for data model creation and validation.
static combine(...models)
A static method for merging multiple models.
const model1 = SchemaModel({
username: StringType().isRequired('This field required')
});
const model2 = SchemaModel({
email: StringType().isEmail('Please input the correct email address')
});
const model3 = SchemaModel.combine(model1, model2);
check(data: object)
Check whether the data conforms to the model shape definition. Return a check result.
const model = SchemaModel({
username: StringType().isRequired('This field required'),
email: StringType().isEmail('Please input the correct email address')
});
model.check({
username: 'root',
email: '[email protected]'
});
checkAsync(data: object)
Asynchronously check whether the data conforms to the model shape definition. Return a check result.
const model = SchemaModel({
username: StringType()
.isRequired('This field required')
.addRule(value => {
return new Promise(resolve => {
// Asynchronous processing logic
});
}, 'Username already exists'),
email: StringType().isEmail('Please input the correct email address')
});
model
.checkAsync({
username: 'root',
email: '[email protected]'
})
.then(result => {
// Data verification result
});
checkForField(fieldName: string, data: object, options?: { nestedObject?: boolean })
Check whether a field in the data conforms to the model shape definition. Return a check result.
const model = SchemaModel({
username: StringType().isRequired('This field required'),
email: StringType().isEmail('Please input the correct email address')
});
const data = {
username: 'root'
};
model.checkForField('username', data);
checkForFieldAsync(fieldName: string, data: object, options?: { nestedObject?: boolean })
Asynchronously check whether a field in the data conforms to the model shape definition. Return a check result.
const model = SchemaModel({
username: StringType()
.isRequired('This field required')
.addAsyncRule(value => {
return new Promise(resolve => {
// Asynchronous processing logic
});
}, 'Username already exists'),
email: StringType().isEmail('Please input the correct email address')
});
const data = {
username: 'root'
};
model.checkForFieldAsync('username', data).then(result => {
// Data verification result
});
MixedType()
Creates a type that matches all types. All types inherit from this base type.
isRequired(errorMessage?: string, trim: boolean = true)
MixedType().isRequired('This field required');
isRequiredOrEmpty(errorMessage?: string, trim: boolean = true)
MixedType().isRequiredOrEmpty('This field required');
addRule(onValid: Function, errorMessage?: string, priority: boolean)
MixedType().addRule((value, data) => {
return /^[1-9][0-9]{3}\s?[a-zA-Z]{2}$/.test(value);
}, 'Please enter a legal character.');
addAsyncRule(onValid: Function, errorMessage?: string, priority: boolean)
MixedType().addAsyncRule((value, data) => {
return new Promise(resolve => {
// Asynchronous processing logic
});
}, 'Please enter a legal character.');
when(condition: (schemaSpec: SchemaDeclaration<DataType, ErrorMsgType>) => Type)
Conditional validation, the return value is a new type.
const model = SchemaModel({
option: StringType().isOneOf(['a', 'b', 'other']),
other: StringType().when(schema => {
const { value } = schema.option;
return value === 'other' ? StringType().isRequired('Other required') : StringType();
})
});
/**
{
option: { hasError: false },
other: { hasError: false }
}
*/
model.check({ option: 'a', other: '' });
/*
{
option: { hasError: false },
other: { hasError: true, errorMessage: 'Other required' }
}
*/
model.check({ option: 'other', other: '' });
Check whether a field passes the validation to determine the validation rules of another field.
const model = SchemaModel({
password: StringType().isRequired('Password required'),
confirmPassword: StringType().when(schema => {
const { hasError } = schema.password.check();
return hasError
? StringType()
: StringType().addRule(
value => value === schema.password.value,
'The passwords are inconsistent twice'
);
})
});
check(value: ValueType, data?: DataType):CheckResult
const type = MixedType().addRule(v => {
if (typeof v === 'number') {
return true;
}
return false;
}, 'Please enter a valid number');
type.check('1'); // { hasError: true, errorMessage: 'Please enter a valid number' }
type.check(1); // { hasError: false }
checkAsync(value: ValueType, data?: DataType):Promise<CheckResult>
const type = MixedType().addRule(v => {
return new Promise(resolve => {
setTimeout(() => {
if (typeof v === 'number') {
resolve(true);
} else {
resolve(false);
}
}, 500);
});
}, 'Please enter a valid number');
type.checkAsync('1').then(checkResult => {
// { hasError: true, errorMessage: 'Please enter a valid number' }
});
type.checkAsync(1).then(checkResult => {
// { hasError: false }
});
label(label: string)
Overrides the key name in error messages.
MixedType().label('Username');
Eg:
SchemaModel({
first_name: StringType().label('First name'),
age: NumberType().label('Age')
});
equalTo(fieldName: string, errorMessage?: string)
Check if the value is equal to the value of another field.
SchemaModel({
password: StringType().isRequired(),
confirmPassword: StringType().equalTo('password')
});
proxy(fieldNames: string[], options?: { checkIfValueExists?: boolean })
After the field verification passes, proxy verification of other fields.
fieldNames
: The field name to be proxied.options.checkIfValueExists
: When the value of other fields exists, the verification is performed (default: false)
SchemaModel({
password: StringType().isRequired().proxy(['confirmPassword']),
confirmPassword: StringType().equalTo('password')
});
StringType(errorMessage?: string)
Define a string type. Supports all the same methods as MixedType.
isEmail(errorMessage?: string)
StringType().isEmail('Please input the correct email address');
isURL(errorMessage?: string)
StringType().isURL('Please enter the correct URL address');
isOneOf(items: string[], errorMessage?: string)
StringType().isOneOf(['Javascript', 'CSS'], 'Can only type `Javascript` and `CSS`');
containsLetter(errorMessage?: string)
StringType().containsLetter('Must contain English characters');
containsUppercaseLetter(errorMessage?: string)
StringType().containsUppercaseLetter('Must contain uppercase English characters');
containsLowercaseLetter(errorMessage?: string)
StringType().containsLowercaseLetter('Must contain lowercase English characters');
containsLetterOnly(errorMessage?: string)
StringType().containsLetterOnly('English characters that can only be included');
containsNumber(errorMessage?: string)
StringType().containsNumber('Must contain numbers');
pattern(regExp: RegExp, errorMessage?: string)
StringType().pattern(/^[1-9][0-9]{3}\s?[a-zA-Z]{2}$/, 'Please enter legal characters');
rangeLength(minLength: number, maxLength: number, errorMessage?: string)
StringType().rangeLength(6, 30, 'The number of characters can only be between 6 and 30');
minLength(minLength: number, errorMessage?: string)
StringType().minLength(6, 'Minimum 6 characters required');
maxLength(maxLength: number, errorMessage?: string)
StringType().maxLength(30, 'The maximum is only 30 characters.');
NumberType(errorMessage?: string)
Define a number type. Supports all the same methods as MixedType.
isInteger(errorMessage?: string)
NumberType().isInteger('It can only be an integer');
isOneOf(items: number[], errorMessage?: string)
NumberType().isOneOf([5, 10, 15], 'Can only be `5`, `10`, `15`');
pattern(regExp: RegExp, errorMessage?: string)
NumberType().pattern(/^[1-9][0-9]{3}$/, 'Please enter a legal character.');
range(minLength: number, maxLength: number, errorMessage?: string)
NumberType().range(18, 40, 'Please enter a number between 18 - 40');
min(min: number, errorMessage?: string)
NumberType().min(18, 'Minimum 18');
max(max: number, errorMessage?: string)
NumberType().max(40, 'Maximum 40');
ArrayType(errorMessage?: string)
Define a array type. Supports all the same methods as MixedType.
isRequiredOrEmpty(errorMessage?: string)
ArrayType().isRequiredOrEmpty('This field required');
rangeLength(minLength: number, maxLength: number, errorMessage?: string)
ArrayType().rangeLength(1, 3, 'Choose at least one, but no more than three');
minLength(minLength: number, errorMessage?: string)
ArrayType().minLength(1, 'Choose at least one');
maxLength(maxLength: number, errorMessage?: string)
ArrayType().maxLength(3, "Can't exceed three");
unrepeatable(errorMessage?: string)
ArrayType().unrepeatable('Duplicate options cannot appear');
of(type: object)
ArrayType().of(StringType('The tag should be a string').isRequired());
DateType(errorMessage?: string)
Define a date type. Supports all the same methods as MixedType.
range(min: Date, max: Date, errorMessage?: string)
DateType().range(
new Date('08/01/2017'),
new Date('08/30/2017'),
'Date should be between 08/01/2017 - 08/30/2017'
);
min(min: Date, errorMessage?: string)
DateType().min(new Date('08/01/2017'), 'Minimum date 08/01/2017');
max(max: Date, errorMessage?: string)
DateType().max(new Date('08/30/2017'), 'Maximum date 08/30/2017');
ObjectType(errorMessage?: string)
Define a object type. Supports all the same methods as MixedType.
shape(fields: object)
ObjectType().shape({
email: StringType().isEmail('Should be an email'),
age: NumberType().min(18, 'Age should be greater than 18 years old')
});
BooleanType(errorMessage?: string)
Define a boolean type. Supports all the same methods as MixedType.
⚠️ Notes
Default check priority:
- 1.isRequired
- 2.All other checks are executed in sequence
If the third argument to addRule is true
, the priority of the check is as follows:
- 1.addRule
- 2.isRequired
- 3.Predefined rules (if there is no isRequired, value is empty, the rule is not executed)