ducktype

Flexible data validation using a duck type interface

npm install ducktype
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ducktype

Flexible data validation using a duck type interface. For JavaScript and Node.js.

As JavaScript is a loosely typed language, any variable can contain any type of data, and any type of data can be passed as arguments any function. When dealing with data inputs coming from external sources, there is a need to validate the type and contents of the data. Ducktype offers an easy way to validate both basic data types as well as complex structured data types in a flexible way.

var ducktype = require('ducktype');

var person = ducktype({
  name: String,
  age: Number
});

person.test({name: 'John', age: 34}); // true
person.test({name: 'Mary'});          // false

Install

npm

npm install ducktype

bower

bower install ducktype

Load

Node.js

var ducktype = require('ducktype');

browser

<!DOCTYPE HTML>
<html>
<head>
    <script src="ducktype.js" type="text/javascript"></script>
</head>
<body>
    <script type="text/javascript">
        // use ducktype...
    </script>
</body>
</html>

Use

Basic types

// use built-in types
ducktype.number.test(2.3);      // true
ducktype.number.test('hi');     // false
ducktype.number.test(true);     // false
ducktype.date.test(new Date()); // true
ducktype.date.test(2.3);        // false
ducktype.string.test('hello');  // true

// create a ducktype
var type = ducktype(Number);
type.test(2.3);                 // true
type.test('hi');                // false
type.test(true);                // false

// create a ducktype with options
var nullableString = ducktype(String, {nullable: true});
nullableString.test('string');  // true
nullableString.test(null);      // true
nullableString.test(2.3);       // false

Combined types

// combination of types
var combi = ducktype(Number, String);
combi.test(2.3);   // true
combi.test('hi');  // true
combi.test(true);  // false

Structured objects

// structured object
var person = ducktype({
  name: String,
  age: Number,
  address: {
    city: String,
    street: String,
    country: String
  },
  email: ducktype(String, {optional: true})
});

person.test({
  name: 'John',
  age: 32,
  address: {
    city: 'Sunnyvale, CA 95125',
    street: '701 First Ave.',
    country: 'United States'
  }
}); // true

person.test({
  name: 'Mary',
  age: 26
}); // false

Structured Arrays

// structured arrays
var numberArray = ducktype([Number]);
numberArray.test([1, 2, 3]);        // true
numberArray.test([1, 'string', 3]); // false

// structured object and array
var family = ducktype({
  name: String,
  age: ducktype(Number, {optional: true}),
  children: [
    {
      name: String,
      age: ducktype(Number, {optional: true})
    }
  ]
});

family.test({
  name: 'John',
  children: [
    {
      'name': 'Mary',
      'age': 6
    },
    {
      'name': 'Grant'
    }
  ]
}); // true

family.test({
  name: 'John',
  children: [
    {
      'firstName': 'Mary',
      'age': 6
    },
    {
      'firstName': 'Grant'
    }
  ]
}); // false

Function arguments

var type = ducktype([Number, Number]);

function add (a, b) {
  type.validate(arguments);
  return a + b;
}

var sum = add(2, 3);        // ok
var sum = add(2, 'string'); // will throw a TypeError

Alternatively, a ducktype wrapper can be created which validates the function arguments against the ducktype:

var add = ducktype([Number, Number]).wrap(function add (a, b) {
  return a + b;
});

var sum = add(2, 3);        // ok
var sum = add(2, 'string'); // will throw a TypeError

API

construction

A ducktype can be constructed as:

ducktype(type)
ducktype(type, options)
ducktype(type1, type2, ...)
ducktype(type1, type2, ..., options)

Where:

  • type can be:

    • A basic type. Choose from Array, Boolean, Date, Function, Number, Object, RegExp, String, null, undefined.
    • Another ducktype.
    • An object. All properties of the object will be checked. Each property can be a basic type, ducktype, object, or array.
    • An array. An array can have zero, one or multiple elements which can be a basic type, ducktype, object, or array. Providing an array with zero elements will just return a ducktype(Array). Providing an array with one element will return a ducktype which will test each of tested arrays elements against the given type, for example ducktype([Number]).test(1, 2, 3). Providing an array with multiple elements will validate the length of the tested array, and validate each of the array elements one to one against the provided types. This can be used to test the number and type of function arguments. Example: ducktype([Number, String]).test(2, 'str').
  • options is an object with properties:

    • A string name (optional)
    • A boolean optional (optional)
    • A boolean nullable (optional)

A created ducktype has functions:

  • test(object). A function which returns true when provided object matches the ducktype, and false otherwise.
  • validate(object). A function which will throw a TypeError when the provided object does not match the ducktype.
  • wrap(fn). Creates a wrapper function around the provided function, which validates the function arguments against the ducktype. Only applicable for ducktypes containing an array, as the ducktype is tested against an array with the function arguments.

Built-in types

Ducktype comes with a set of built-in types:

  • ducktype.array
  • ducktype.boolean
  • ducktype.date
  • ducktype.function
  • ducktype.number
  • ducktype.object
  • ducktype.regexp
  • ducktype.string
  • ducktype.null
  • ducktype.undefined

The built-in types can be used as:

ducktype.number.test(2.3); // true
ducktype.string.test(2.3); // false

Test

To execute tests for the library, run:

npm test

Roadmap

  • Implement common data types like url, phone number, email, postcode, etc.
  • Implement extra options for specific types:
    • Number: integer, min, max, finite, odd, even, positive, negative, nan, ...
    • String: lowercase, uppercase, alpha, alphanumeric, empty, ...
    • Array: length, length.min, length.max, ...
  • Implement a parser accepting a string describing a type in annotations.
  • Implement support to define your own tests for custom types.
  • Implement non-strict type checking: when an object can be converted to the desired type, it is ok. For example a string containing a numeric value can be considered a valid Number, or a string containing an ISO date can be considered a valid Date.

License

Copyright (C) 2013 Jos de Jong wjosdejong@gmail.com

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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