Awesome
Toi
Toi is a validator for JavaScript values written in TypeScript.
It's heavily inspired by Joi, but actually uses different features from TypeScript's type system to infer the output type of a validation schema.
How to use?
It comes in two related packages:
@toi/toi
which contains the most basic validators. You can see the source inpackages/toi
.@toi/toix
which contains extra and commonly used validators. You can see the source inpackages/toix
.
Unlike Joi, it takes a more flexible and monadic approach to building validation schemas.
Install
It's packaged under the organization scope @toi
. Just do:
# for toi
yarn add @toi/toi
npm i --save @toi/toi
# for toix
yarn add @toi/toix
npm i --save @toi/toix
The major versions of these two packages will always be in sync. It's
recommended you use the caret semver. Currently that is: @^1.0.0
.
What's a validation schema?
A validation schema is just a function that has type information about what it's inputs must be and what the output must be. You invoke this function over the defined input, and you'll be sure to receive the defined output. Toi makes it easy to combine validation schemas to build rich output types.
A validator, i.e. a validation schema, has the type toi.Validator<Input, Output>
. You can make your own validators easily by using the heper function
toi.wrap
.
Validators can be combined with the and
function. In full honesty, it acts
like the logical conjucation operator, but it's really more of a bind
or
map
operator seen in monads. Effecitvely, it composes the validator function
on which it's called and the provided validation function.
Each validator must obey these rules:
- Must always accept
null
andundefined
as values, unless really special. - Must always throw a
ValidationError
if the value is not expected. - Must throw any non-validation errors as early as possible.
- Must return the correct value passed to them. This value may be transformed.
How it works?
Let's take a look at some common patterns and how they work with Toi.
Here's a validation schema for all objects of the form { num: number; str: string }
.
import * as toi from "@toi/toi";
const isObject = toi
.required() // make toi reject null or undefined
.and(toi.obj.isplain()) // forces that the value is a plain JS object
.and(
toi.obj.keys({
num: toi.required().and(toi.num.is()),
str: toi.required().and(toi.str.is())
})
); // makes sure that the object has props num, str that are never null
isObject({ num: 1, str: "1" }); // will pass
isObject(null); // will throw toi.ValidationError
You can use toi.required()
or toi.optional()
to enforce strict non-null
rules. In TypeScript 2.8 there are conditional types, and these methods use
them to infer whether the starting value is nullable, therefore propagate that
type information down the chain.
It is sometimes possible to skip using these, if you already know what type you'll be validating. It's also possible to just not use them at all, in which case nullable type information will not be propagated down the chain. It doesn't mean tho, that the value is non-null!
All the validators!
Toi and ToiX are laid out in a specific way, to help you identify validators easily:
toi
is the toplevel module. It contains the following submodules:
num
includes validators that work with numbersstr
includes validators that work with stringsbool
includes validators that work with booleansobj
includes validators that work with objectsarray
includes validators that work with arraysdate
includes validators that work with datesany
includes validators for any valueoptional
special validator for starting a nullable chainrequired
special validator for starting a non-nullable chain
Each submodule contains a method named is
that does the most basic type
check. For example: toi.num.is()
validates that the value provided is a
number, toi.str.is()
validates that the value provided is a string, etc.
Inside each submodule you'll find different validators for different types of validations.
One of the goals for Toi is to have really readable code, and you should really take a look at it in order to find the validators you want. In fact, the website is just Toi!
Validation Errors
You can inspect each toi.ValidationError
via the reasons
property. If set,
it will mimic the shape of the value that failed validation. So, if an object
fails validation due to some of its properties failing validation, the
reasons
property will be an object with properties that map to other
toi.ValidationError
s which caused the validation failure. Similarly it works
for arrays.
Writing your own validators?
It's real easy. First, make sure you obey the rules for each validator. Otherwise, there are three methods that will make your life easier:
toi.wrap("name-in-stack-trace", value => value)
to convert a simple validation function into a full-blowntoi.Validator
.toi.allow(value => !value, "value is truthy")
to create a simple validation function that obeys the rules, from a function that returnstrue
if the validation passes, orfalse
if it does not. You still have to usetoi.wrap
on top of this.toi.transform(value => value + 1)
to create a simple validation function that transforms a value into a different value, and obeys the rules. You still have to usetoi.wrap
on top of this.
Contributing
Only the basic validators out of which you can build more complex validators
should be placed in the toi
package. Everything else should go into toix
.
Test coverage must be 100% for both packages. If you don't like it, please make your own library. Toi was designed to be easy to interoperate with custom validators (unlike Joi).
Tests must test what the documentation says. Don't test JavaScript runtime methods, but do explicitly say that they're used.
License
Copyright © 2018 Stojan Dimitrovski, some rights reserved.
Licensed under the MIT license. You can get a copy of it in LICENSE
.