A light weight, powerful, tree shakable javascript schema validator which works on both Nodejs
and Browser
.
npm install shark-validator
Remeber to import everything from the shark-validator
directly for tree shaking to work.
import { Validator, RuleSet, isRequired, isString, isLen } from 'shark-validator';
const { Validator, RuleSet, isRequired, isString, isLen } = require('shark-validator');
There are 3 classes in shark-validator
you need to know:
Validator
- The validation schema that will be used to validate a set of values.RuleSet
- A set of rules for a particular key.Rule
- There are a lot of predefined Rules that you can use or create your own Rule by extending theRule
class.
Some predefined rules are isString
, isRequired
and isLen
. You can lookup more predefined rules here https://shark.imirshad.com/.
Here we'll create a validator schema to validate for name
, email
and password
. We have to create a RuleSet
object for each key in this schema. RuleSet
is nothing but a set of rules. So for defining a RuleSet
we can create it's static method create
and pass in an array of Rules.
The rules we'll use in this example are:
isString
: It makes sure that the value is a string.isRequired
: It makes sure that the value is present.isEmail
: It makes sure that the value is an email.isLen
: It makes sure that the value is of a particular length.
const { Validator, RuleSet, isRequired, isString, isLen, isEmail } = require('shark-validator');
const schema = new Validator({
name: RuleSet.create([isRequired(), isString()]),
email: RuleSet.create([isRequired(), isString(), isEmail()]),
password: RuleSet.create([isRequired(), isString(), isLen({ min:8 })]),
});
Now our validation schema is created which we can use to test any value. To test a particular object we can use the validate
method of schema
as shown below.
const valuesToCheck = {
name: 'Dan',
email: 'dandaninc.com',
password: '123456'
};
const { values, errors } = schema.validate(valuesToCheck);
The validate
methods returns an object with values
and errros
(if any otherwise null
).
The value of the variable values
and errors
will be.
Values
{
"name": "Dan",
"email": "[email protected]",
"password": "123456"
}
Errors
{
"email":
[
{ "error": "'email' should be a valid email.",
"validator": "isEmail",
"value": "dandaninc.com",
"path": "email"
}
],
"password":
[
{ "error": "'password' should not be less than 8 characters.",
"validator": "isLen",
"value": "123456",
"path": "password"
}
]
}
The errors
object contains all the data about which rule failed and where did it fail.
As in this example we can see that the email
key failed to validate on isEmail
rule and the password field failed to validate on isLen
rule.
The errors
object contains the following data:
error
: Error message.validator
: Name of theRule
where the error occured.value
: The value on which the rule failed.path
: Path to the value.
You can provide a custom name to a particular key which can be displayed on the error message if the test for that key fails.
If in the above example we defined the RuleSet
for the email
key as:
RuleSet.create([isRequired(), isString(), isEmail()], 'Business Email')
Then the returned error message will use the name Business Email
.
{
"email":
[
{ "error": "'Business Email' should be a valid email.",
"validator": "isEmail",
"value": "dandaninc.com",
"path": "email"
}
],
...
}
If you want to stop the check if one error is found, then you can pass in an additional parameters returnEarly
and returnRuleSetEarly
to the Validator
constructor.
If set to true, then the functionality of the two parameters will be:
returnEarly
: Stops validating when other keys when one or more errors are found for a particular key.returnRuleSetEarly
: Stops further validation of a particular key if an error is found on the same key.
You can use a combination of both the parameters to acheive different funtionalities.
If the validator is defined as below.
const schema = new Validator({
name: RuleSet.create([isRequired(), isString()]),
email: RuleSet.create([isRequired(), isString(), isEmail()]),
password: RuleSet.create([isRequired(), isString(), isLen({ min:8 })]),
},
{
returnEarly: true
});
Then the errors object will be:
{
"email":
[
{ "error": "'Business Email' should be a valid email.",
"validator": "isEmail",
"value": "dandaninc.com",
"path": "email"
}
],
}
Notice that no password
error is returned because the validation stopped when the email failed the test.
If you don't like the existing error messages, you can provide custom error messages if a particular rule fails just by adding a parameter message
to the Rule
constructor as:
RuleSet.create([ someRule({ message: 'Please provide a valid input.' }) ])
Additionally you can use some variable inside the message string like name
of the field. To use a variable you just have to enclose the name of the variable between %
, like this.
RuleSet.create([ someRule({ message: 'Please provide a valid input for %name%.' }) ])
Other then the name
valriable, you can use any other variable that you provide in the Rule
constructor along with the message.
If in the above example we defined the RuleSet
for the password
key as:
RuleSet.create([
isRequired(),
isString(),
isLen({ min:8, message: '%name% must be equal to or greater than %min% charecters.' })
])
Then the returned error will use our custom message.
{
"password":
[
{ "error": "password must be equal to or greater than 8 charecters.",
"validator": "isLen",
"value": "123456",
"path": "password"
}
],
...
}
You can validate objects with RuleSet
's static method object
. You can also nest mustiple object with this method.
To achieve this you need to create a seperate schema for the object you are validating and use it inside the RuleSet
's object
method.
const addressSchema = new Validator({
city: RuleSet.create([isRequired(), isString()]),
state: RuleSet.create([isRequired(), isString()]),
});
Now you can use this addressSchema
in your main validation schema.
const schema = new Validator({
name: RuleSet.create([isRequired(), isString()]),
address: RuleSet.object(addressSchema),
});
const { values, errors } = schema.validate(valuesToCheck);
You can check additional parameters in RuleSet
documentation.
You can validate arrays with RuleSet
's static method array
.
You have to define a set of rules to validate each array element and also specify the range of array length.
const schema = new Validator({
name: RuleSet.create([isRequired(), isString()]),
emails: RuleSet.array([isRequired(), isString(), isEmail()]),
});
const { values, errors } = schema.validate(valuesToCheck);
You can check additional parameters in RuleSet
documentation.
You can validate array of objects with RuleSet
's static method arrayOfObject
. You can also nest mustiple object with this method.
To achieve this you need to create a seperate schema for the object you are validating and use it inside the RuleSet
's arrayOfObject
method.
const addressSchema = new Validator({
city: RuleSet.create([isRequired(), isString()]),
state: RuleSet.create([isRequired(), isString()]),
});
Now you can use this addressSchema
in your main validation schema.
const schema = new Validator({
name: RuleSet.create([isRequired(), isString()]),
addresses: RuleSet.arrayOfObject(addressSchema),
});
const { values, errors } = schema.validate(valuesToCheck);
You can check additional parameters in RuleSet
documentation.
Checkout the reference and API documentation for more features. https://shark.imirshad.com/