KL Validator
KL Validator is a library for validating form data. It provides a set of base rules for checking the type and value of various inputs, and allows you to define custom rules as well.
Installation
To install KL Validator, use one of the following package managers:
npm install --save kl-validator
pnpm add kl-validator
Usage
To use KL Validator, import the Validator class and create a new instance, passing in an object with the following properties:
- formData: An object containing the form data to be validated.
- rules: An object specifying the validation rules for each field in the form data. (rules is not required to be pass as an parameter here)
Here's an example of how to use KL Validator to validate a form with a required name field:
import { Validator } from "kl-validator";
const formData = {
name: null,
deep: {
neested: {
object: {
value: null
}
}
},
arrayObject: [
{
objectName: "object a name"
},
{
objectName: null
},
{
objectName: "object c name"
},
]
};
const validator = new Validator({
formData: formData,
rules: {
name: ["required"],
"deep.nested.object.value": ["required"],
"arrayObject.*.objectName": ["required"]
},
});
// Validate the form data
await validator.validate();
// Check if the validation failed
if (validator.fail()) {
// Get the validation error messages
const error = validator.getErrorBag();
console.log(error); // Output: {name: ["The field is required."], "deep.nested.object.value": ["The field is required."], "arrayObject.1.objectName": ["The field is required."]}
}
Base Rules
KL Validator provides the following base rules for validating form data:
- required: checks if the value is undefined, an empty string, or null.
- array: checks if the value is an instance of the Array class.
- integer: checks if the value is an integer using the Number.isInteger() method.
- numeric: checks if the value is an instance of the Number class.
- string: checks if the value is a string.
- boolean: checks if the value is a boolean.
- allowed: checks if the value is included in a list of allowed values passed as arguments to the function.
- image: checks if the value is an instance of the File class, and also checks if the file's MIME type starts with "image/".
- size: checks if the value is an instance of the File class, and also checks if the file's size is within a specified range.
Extends Custom Rules
KL Validator provides extendable custom rule to be runs alongside base rules, heres the code example:
const formData = {
age: 25,
};
const validator = new Validator({
formData: formData,
rules: {
age: ["custom"],
},
}).mergeCustomRules({
custom(value) {
if (value === 25) {
return "Test Error";
}
},
});
// Validate the form data
await validator.validate();
// Check if the validation failed
if (validator.fail()) {
// Get the validation error messages
const error = validator.getErrorBag();
console.log(error);
}
Function parameters
We can also parse parameters to the custom rules
const formData = {
age: 25
};
const validator = new Validator({
formData: formData,
rules: {
age: ["ageBetween:26,50"]
},
})
validator.mergeCustomRules({
ageBetween(value, paramA, paramB) {
// paramA will be 25
// paramB will be 50
if (value < 26 || value > 50) {
return `Age must be between ${paramA} - ${paramB}`;
}
},
});
Anonymous Function
Or set anonymous function inside the array rules
const formData = {
age: 25
};
const validator = new Validator({
formData: formData,
rules: {
age: [
(value) {
const min = 26
const max = 50
if (value < min || value > max) {
return `Age must be between ${min} - ${max}`;
}
}
]
},
})
Async / Await syntax
It can also use async / await syntax to fetch data and wait it to be fetched from some external source
const formData = {
age: 25
};
const validator = new Validator({
formData: formData,
rules: {
age: [
async (value) {
const { min, max } await fetch('/path/to/your/api');
if (value < min || value > max) {
return `Age must be between ${min} - ${max}`;
}
}
]
},
})