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https://github.com/devtin/duckfficer

Zero-dependencies light-weight library for modeling, validating and sanitizing data 🦆 🐵 👁
https://github.com/devtin/duckfficer

coercion data duck-typing json parsing schema validation

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Zero-dependencies light-weight library for modeling, validating and sanitizing data 🦆 🐵 👁

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duckfficer


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Zero-dependencies, light-weight library (~4.6KB minified + gzipped)

for modeling, validating & sanitizing data

## Manifesto

Performing duck-type validation and data sanitation is not what I came to this world for... I want a utility helping me
simplify that task.

This utility must:

- Check whether certain value has the shape of a predefined schema-type
- When a given value does not match the schema, it must offer a full report of what is wrong with the given
value vs what the schema is expecting! (see: [https://duckfficer.js.org/#/guide?id=error-handling-and-lifecycle](https://duckfficer.js.org/#/guide?id=error-handling-and-lifecycle))
- Be easy to extend and share schemas within each other (see: [https://duckfficer.js.org/#/guide?id=nesting-schemas](https://duckfficer.js.org/#/guide?id=nesting-schemas))
- Provide a built-in set of types for most common usages (see: [https://duckfficer.js.org/#/types](https://duckfficer.js.org/#/types))
- Allow custom types as well as a cast and transform hooks (see: [https://duckfficer.js.org/#/types?id=custom](https://duckfficer.js.org/#/types?id=custom))

Let's put hands on it!

**Index**

- [Installation](#installation)
- [About](#about)
- [At a glance](#at-a-glance)
- [Documentation](https://devtin.github.io/duckfficer)

## Installation

```sh
$ npm i duckfficer
# or
$ yarn add duckfficer
```

## At-a-glance

```js
const { Schema } = require('duckfficer')

// lets create a schema first
const User = new Schema({
firstName: String,
lastName: String,
get fullName () {
return this.firstName + ' ' + this.lastName
},
dob: Date,
contact: {
phoneNumber: {
type: Number,
autoCast: true // transforms String that look like a number into a Number
},
emails: {
default () {
return []
},
type: Array,
arraySchema: {
type: String,
regex: [/^[a-z0-9._]+@[a-z0-9-]+\.[a-z]{2,}$/, '{ value } is not a valid e-mail address']
}
}
}
})

User.parse({
firstName: 'Fulano de Tal',
contact: {
emails: ['fulanito']
}
})
.catch(err => {
console.log(err.message) // => Data is not valid
console.log(err.errors.length) // => 4
console.log(err.errors[0].message) // => Property lastName is required
console.log(err.errors[0].field.fullPath) // => lastName
console.log(err.errors[1].message) // => Property dob is required
console.log(err.errors[1].field.fullPath) // => dob
console.log(err.errors[2].message) // => Property contact.phoneNumber is required
console.log(err.errors[2].field.fullPath) // => contact.phoneNumber
console.log(err.errors[3].message) // => fulanito is not a valid e-mail address
console.log(err.errors[3].field.fullPath) // => contact.emails.0
})

User.parse({
firstName: 'Fulano',
lastName: 'de Tal',
dob: '1/1/2020',
contact: {
phoneNumber: '3051234567',
emails: [
'[email protected]',
'[email protected]'
]
}
})
.then(obj => {
console.log(obj.dob instanceof Date) // => true
console.log(typeof obj.contact.phoneNumber) // => number
console.log(obj) // =>
/*
{
firstName: 'Fulano',
lastName: 'de Tal',
dob: 2020-01-01T05:00:00.000Z,
contact: {
phoneNumber: 3051234567,
emails: [ '[email protected]', '[email protected]' ]
}
}
*/
})
```

[Read the documentation](https://devtin.github.io/duckfficer)

* * *

## License

[MIT](https://opensource.org/licenses/MIT)

© 2019-2020 Martin Rafael