Framework agnostic validation library in JavaScript
npm i --save pruf
Import validate
to validate objects by a set of rules
import { validate, required, between, reporter } from "pruf";
const data = {
name: "",
data: { age: 14 },
zip: 500,
};
const rule = {
name: {
required,
},
data: {
age: {
required,
over16: (value) => value > 16,
},
},
zip: {
required: reporter(required, "Please enter ZIP"),
between: reporter(between(999, 10000), "Invalid ZIP"),
},
};
const result = validate(rule, data);
the validation results in a new object with valid
-keys corresponding to the validations done.
const result = {
valid: false,
name: {
valid: false,
required: false,
},
data: {
valid: false,
age: {
valid: false,
required: true,
over16: false,
},
},
zip: {
valid: false,
required: { valid: true },
between: { valid: false, error: "Invalid ZIP" },
},
};
Pruf provides you a simple way to validate data by a set of rules.
With validate(rule, data, options?)
you validate an object data
by a set of rules provided in a rule
object. With an options
object you can control some additional behaviour.
The validation follows this set of rules. If a value in the rule
object is a function
this will be used as the validator for the corresponding data
.
The return
will have the same structure as the rule.
const rule = {
name: {
required,
},
data: {
age: {
required,
over16: (value) => value > 16,
},
},
zip: {
valid: false,
required: { valid: true },
between: { valid: false, error: "Invalid ZIP" },
},
};
Any kind of object. Including deeply nested objects.
const data = {
name: "",
data: { age: 14 },
zip: 500,
};
string?
— default: valid
The name of the key generated during validation.
string?
— default: include
The name of the key to detect groups during validation.
object?
— default:
{
isValidator: ({ value }) => typeof value === "function",
validate: ({ validator, data, parent }) => validator(data, parent),
}
A custom visitor (walker) can be defined to adjust the default behaviour to recognise validators and to validate the corresponding values.
const rule = {
name: {
isTruthy: true,
},
age: {
isFalsy: false,
},
};
const data = {
name: "Hello",
age: null,
};
const visitor = {
isValidator: ({ value }) => value === true || value === false,
validate: ({ validator, data }) => {
return validator === false ? !!data === false : !!data === true;
},
};
const result = validate(rule, data, { visitor });
The visitor detects a validator by the boolean return of a function in the key isValidator
.
The validation in the key validate
can return a boolean
or an object
. If the return is an object
the the key valid
must be present (corresponding to validKey
) .
const result = {
valid: true,
name: {
valid: true,
isTruthy: true,
},
age: {
valid: true,
isFalsy: true,
},
};
The result of the function returns a new object where each object will have a valid
-key with the result of the validation of the values and sub-values. Each validator will leave a key in the object.
const result = {
valid: false,
name: {
valid: false,
required: false,
},
data: {
valid: false,
age: {
valid: false,
required: true,
over16: false,
},
},
zip: {
valid: false,
required: { valid: true },
between: { valid: false, error: "Invalid ZIP" },
},
};
pruf
comes with some often used validation functions.
Helper | Parameters | Description |
---|---|---|
required | – | Checks if a value is given. required([]) === true , required(0) === true , required(false) === true |
between | min, max | Checks if a number is between min and max. Min and max are not included. |
If an error-message on the result object is needed a helper function reporter
is provided. The reporter transforms a validator
result to a object with the message in an error
key and a key valid
with the result of the validator
.
import { validate, required, between, reporter } from "pruf";
const data = {
zip: 500,
};
const rule = {
zip: {
required: required,
between: reporter(between(999, 10000), "Invalid ZIP"),
},
};
const result = validate(rule, data);
const result = {
zip: {
valid: false,
required: true,
between: { valid: false, error: "Invalid ZIP" },
},
};
Custom validations can be defined by adding simple functions:
const isPruf = (value) => value === "pruf";
The validation can then be used like all other checks:
const rule = {
dataYeah: { required, isPruf },
dataNo: { required, isPruf },
};
The first parameter to the validator is the value
to validate. As second parameter there is the parent
object.
Sometimes it's useful to have validations grouped. This can be achieved if the key include
is set with an array of include paths.
const rule = {
name: {
firsName: {
required,
},
},
age: {
required,
},
person: {
include: ["name.firsName", "age"], // ← 💫 includes
},
};
const result = {
valid: false,
name: {
valid: false,
firsName: {
valid: true,
required: true,
},
},
age: {
valid: false,
required: false,
},
person: {
valid: false,
"name.firsName": {
valid: true,
required: true,
},
age: {
valid: false,
required: false,
},
},
};
pruf
is inspred by projects like vuelidate, formik and many others.
MIT · Started by signalwerk supported by contributors