@valkyriestudios/validator

3.3.0 • Public • Published

@valkyriestudios/validator

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An extensible javascript validator

npm install @valkyriestudios/validator

Example usage

import Validator from '@valkyriestudios/validator';

const v = new Validator({
    first_name: 'string|min:2',
    last_name: 'string|min:2',
    old_password: '!equal_to:<password>',
    password: 'string|min:8',
    confirmation: 'equal_to:<password>',
    gender: '?in:<meta.genders>',
    age: '?integer|between:0,150',
});

const evaluation = v.validate({
    first_name: 'Peter',
    last_name: 'Vermeulen',
    old_password: 'myoldpass',
    password: 'mySecr3tPass',
    confirmation: 'mySecr3tPass',
    gender: 'm',
    meta: {
        genders: ['m','f','o']
    };
});

console.log(evaluation.is_valid); // true

How does this work?

Instantiating a new validator

A validator instance is reusable across multiple validation runs, it's instantiated with a set of rules that it needs to validate later down the line. These rules can go from single dimensional kv objects to multi-dimensional kv objects.

You can create very small validators ... = new Validator({email: 'string|email'}); to very complex validators using a simple readable syntax.

new Validator({
    address: {
        street: 'string|alpha_num_spaces',
        nr: 'integer',
        zip: 'integer|between:1000,9999',
    },
    contact: {
        email: 'string|email',
    },
    filters: {
        ids: '[unique]integer|greater_than:0',
        types: '[unique|max:5]is_type',
    },
});

Anatomy of a validation descriptor

Validation of a value can be a simple one-off thing, or it can be a set of rules that the value needs to go through, as such a validation descriptor can contain multiple rules.

The syntax for this is best shown with a good example integer|between:1000,9999|!equal_to:5.

  • | Rule delimiter The | symbol is a delimiter to show where a new rule starts

  • : Parameter start The : symbol marks where the rule name ends and the parameter list for the rule starts

  • , Parameter delimiter The , symbol marks where a new parameter starts

  • ! Opposite validation The ! symbol marks a rule as the opposite, meaning that we should revert the validation, another example is !equal_to:foo, which means accept anything that is not foo. This can be used with any rule (including custom ones) as well as parameterized rules.

As such the example rule here validates on 3 things, the integer rule and between rule, where the between rule has 2 parameters (1000, 9999) as well as that any value can not be equal to 5.

Running validations and checking evaluations

After a validator instance is created, you can run it as many times as you want to validate a data object passed to it. The resultset of this is called an evaluation and is returned when calling the validate function.

const evaluation = myvalidator.validate({name: 'Peter', age: '250'});

The evaluation object consists of two keys that can be used to determine the result of the validation:

  • is_valid A boolean value that tells you whether or not the validation succeeded (true) or not (false)

  • errors An object containing the errors per validated key, each key in the ruleset will be represented here, if a key was correctly validated it will be an empty array, otherwise it will be an array containing the specific rules that didn't match.

example of an evaluation object:

{
    is_valid: false,
    errors: {
        name: [],
        age: [
            {msg: 'integer', params: []},
            {msg: 'between', params: ['1','150']}
        ],
    },
}

Revisiting evaluations

The validator instance will remember and internally store the last evaluation, you can always link back to it through the is_valid property and the errors property on the validator instance.

Linking to other parameters inside of the data object

Validation sometimes requires context, this context is usually linked to other variables in the data object that is being validated. Think of a password confirmation that needs to be matched, or a string that needs to be in a provided string of arrays. For this we've added the ability to parameterize your ruleset.

Parameterization happens through the following syntax <myparam> where myparam is the key of the value it needs to link to in the data object.

Example of a parameterized equal to rule:

const v = new Validator({a: 'equal_to:<b>'});

v.validate({a: 'hello', b: 'world'}); // is_valid = false
v.validate({a: 'foo', b: 'foo'}); // is_valid = true

Example of a parameterized greater_than rule:

const v = new Validator({a: 'greater_than:<b>'});

v.validate({a: 50, b: 40}); // is_valid = true
v.validate({a: 10, b: 20}); // is_valid = false

Take note: Custom rules (see below) do not need any special definition for this to work.

Optional rules

In some cases you only want to validate a specific key if it is passed, if not you don't want to run the validations. To allow for this we've added the ? flag.

To make use of the ? flag, place it at the very start of the defined rule.

Example of an optional rule:

const v = new Validator({gender: '?string|in:<genders>'});

v.validate({genders: ['m', 'f', 'o']}); // is_valid = true
v.validate({gender: 'X', genders: ['m', 'f', 'o']}); // is_valid = false

Opposite rules

In some cases you want to validate the exact opposite of a rule, for example if you want to validate that something is not in a set, not equal to something, not of a certain type, not ... (you catch my drift). To allow for this we've added the ! flag.

To make use of the ! flag, place it at the very start of any condition (including your own conditions that are defined through extension).

Examples of opposite validations:

const v = new Validator({
    password: 'string|min:8',
    password_old: 'string|min:8|!equal_to:<password>',
});

v.validate({password: 'mysecretpass', password_old: 'mysecretpass'}); // is_valid = false
v.validate({password: 'mysecretpass', password_old: 'myoldpass'}); // is_valid = true

Array validation

Often, we have to deal with things such as validation of sets of data, good examples might be filters where you can have multi-selection. To tackle the concept of array validation you can treat any rule as an iterable rule by prefixing [] in front of it.

For example the rule: integer|greater_than:0 will validate that the provided value is an integer greater than 0, but if we expect an array of integers that need to be greater than 0 we can use the following: []integer|greater_than:0.

const v = new Validator({
    ids: '[]integer|greater_than:0',
});

v.validate({ids: 5}); // is_valid: false
v.validate({ids: [5]}); // is_valid: true
Options

We understand that array validation requires just a tad more control, as such you can pass the following options to the array iterable in the rule.

Key Meaning Example
unique Validate that the passed array is unique [unique]integer|greater_than:0
max:val Validate that they passed array can at max contain X elements [max:5]integer|greater_than:0
min:val Validate that they passed array needs to contain at least X elements [min:5]integer|greater_than:0

These options can be combined as well. For example the following rule will ensure that only a unique array with minimum 1 and maximum 4 elements can be passed, and that each element passes a custom rule (see extending) called is_fruit:

Validator.extend('is_fruit', val => ['apple', 'orange', 'pear'].indexOf(val) >= 0);

const validator = new Validator({
    fruits: `[unique|min:1|max:4]is_fruit`.
});

validator.validate({fruits: ['apple', 'orange']}); // is_valid: true
validator.validate({fruits: ['apple', 'apple', 'orange']}); // is_valid: false (not unique)
validator.validate({fruits: []}); // is_valid: false (min: 1)
validator.validate({fruits: ['apple', 'dog', 'orange']}); // is_valid: false (is_fruit)
validator.validate({fruits: ['apple', 'dog', 'orange', 'pear', 'pear']}); // is_valid: false (is_fruit and over max)

Extending the validator with custom rules

A validator library can/should only provide the default rules that would cover 90% of the validation use cases, however some validations are custom to your specific case, as such you can add your own custom rules through the extend static function on the Validator class.

Adding a rule to the Validator is global and shared among all other validator instances, so it's advised to do this at boot.

Example of a rule that will validate whether a string is a user role:

Validator.extend('user_role', function (val) {
    return ['admin', 'user', 'guest'].includes(val);
});

example usage
(new Validator({a: 'user_role'})).validate({a: 'owner'}); // is_valid = false
(new Validator({a: 'user_role'})).validate({a: 'admin'}); // is_valid = true

Example of a rule that will validate whether an integer is the double of a provided parameter

Validator.extend('is_double', function (val, param) {
    return val === (param * 2);
});

example usage
const v = new Validator({a: 'is_double:<meta.b>'});

v.validate({a: 6, meta: {b: 4}}); // is_valid = false
v.validate({a: 8, meta: {b: 4}}); // is_valid = true
Multiple rules at once?

If you see the need to add a group of custom rules, this can also be done through Validator.extendMulti:

Validator.extendMulti({
    ...
    is_fruit: val => ['apple', 'pear', 'orange'].indexOf(val) >= 0,
    is_animal: val => ['dog', 'cat', 'horse'].indexOf(val) >= 0,
    is_pet: val => ['dog', 'cat'].indexOf(val) >= 0,
    ...
});

Available rules

The following list shows you all the default rules that are provided by this library, feel free to write your own or open a PR to extend on this set!

Rule Description
alpha_num_spaces Validate a string to only contain alphabetical, numerical and space characters
alpha_num_spaces_multiline Ditto alpha_num_spaces but with the addition of allowing linebreak and carriage returns
array Validate that a provided value is an array
array_ne Same behavior as array, with the additional check that empty arrays will not be seen as valid
between Validate that a provided value is between two numbers, if passed a string or array this will validate on length
between_inc Validate that a provided value is between or equal to two numbers, if passed a string or array this will validate on length
boolean Validate that a provided value is a boolean
color_hex Validate that a provided value is a hex color (with the # included)
date Validate that a provided value is a date object
date_string Validate that a provided value is a valid date string, take note: this will not validate strings representing dates before the start of the unix epoch
email Validate that a provided value is an email, take note: this only structurally tests if an email is good, it doesn't test whether an email actually exists
eq Alias of equal_to
equal_to Validate that a provided value is equal to another value, this can be used on primitives (string, number, boolean) but also on non-primitives (objects, arrays, dates). Equality checks for non-primitives are done through FNV1A hashing
geo_latitude Validate that a provided value is a valid latitude value
geo_longitude Validate that a provided value is a valid longitude value
greater_than Validate that a provided value is greater than a provided number, if passed a string or array this will validate on length
greater_than_or_equal Validate that a provided value is greater than or equal than a provided number, if passed a string or array this will validate on length
gt Alias of greater_than
gte Alias of greater_than_or_equal
guid Validate that a provided value is a valid guid according to rfc 4122
in Validate that a provided value is in a set of values, this requires parameterization (see above)
integer Validate that a provided value is an integer, this will see NaN as invalid
less_than Validate that a provided value is less than a provided number, if passed a string or array this will validate on length
less_than_or_equal Validate that a provided value is less than or equal to a provided number, if passed a string or array this will validate on length
lt Alias of less_than
lte Alias of less_than_or_equal
max Alias of less_than_or_equal
min Alias of greater_than_or_equal
number Validate that a provided value is a number, this will see NaN as invalid
object Validate that a provided value is an object, arrays will not be seen as objects by this rule
object_ne Same behavior as object, with the additional check that empty objects will not be seen as valid
phone Validate that a string is a valid phone number (will match phone numbers entered with delimiters such as spaces, dots, brackets, etc, and supports international phone numbers), take note: this does not check whether or not the phone number is in use, merely that a valid format is provided
required Validate that a provided value is not empty, arrays will be seen as valid if at least 1 element is present, strings will be seen as empty if when trimmed the length is bigger than 0, null and undefined will not be valid and a NaN will also be rejected
size Validate that a provided value has a specific size, this only applies to strings and arrays and checks on length
string Validate that a provided value is a string
string_ne Same behavior as string, with the additional check that empty strings (after trimming) will not be seen as valid
sys_mac Validate that a provided value is a valid MAC address
sys_ipv4 Validate that a provided value is a valid IPv4 address
sys_ipv6 Validate that a provided value is a valid IPv6 address
sys_ipv4_or_v6 Validate that a provided value is either a valid IPv4 or a valid IPv6 address
url Validate that a provided value is a url, this allows for query string values as well
url_noquery Validate that a provided value is a url without any query string values

Contributors

Install

npm i @valkyriestudios/validator

DownloadsWeekly Downloads

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Version

3.3.0

License

MIT

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  • valkyrie_studios