duck-type
Duck type is a schema and validator JavaScript library, which provide a natural way to define schema and validate your data structure in JavaScript. The purpose of this library is try to help you to build up 'Complicated But Robust JavaScript Program', especially when you have to teamwork with other peoples, or developing your code based on unstable API.
Getting Started
Currently, duck-type can support both NodeJS and browser:
## in node
npm install duck-type
and, use it in your code, like:
// in node
var schema = require('../duck-type').create();
Or
## in browser
bower intall duck-type
and, use it in your code, like:
// in browser, global variable duckType
var schema = duckType.create();
It also support "requirejs".
Validation:
Let us get start with validation:
Example 1
schema.assert(1).is(String); //throw Error
schema.assert('1').is(String); //passed, return true
We also can verify many parameters at once, like:
schema.assert(x, y).are(String, Number);
Example 2
We can verify complex object by schema like:
schema.assert(x).is({
name:String,
age:Number
});
Example 3
Even support "nest" schema like this:
schema.assert(x).is({
name : {
first:String,
last:String
},
age: Number,
sayHello: Function
});
Here :
'sayHello': Function means target object which to verified must have a method named 'sayHello'.
'name', is a nest schema.
Example 4
For array, duck-type can support different pattern:
schema.assert(x).is([]); // x must be a array, element can by any type
schema.assert(X).is([Number]); //x must be a array, element must be a Number
schema.assert(X).is([Number, String, Date]);
/*
means x must be a array,
and the first element must be a Number,
the second element must be a String....
*/
Of cause, we can combine definition of array and object, like;
schema.assert(x).is({
title: String,
description: String,
resourceDemands: [{
resourceTypeId: Number,
year: Number,
month: Number,
quantity: Number
}]
})
Define schema:
Save schema as "type" to re-use them.
Example 5
Define a type:
schema.type('ResourceDemand',{ //now, we defined a type ResourceDemand
resourceTypeId: Number,
year: Number,
month: Number,
quantity: Number
});
Re-use type.
schema.assert(x).is(schema.ResourceDemand);
Example 6
We can define some basic type, even like java.lang.Integer
schema.type('Integer',function(value){
return schema.assert(value).is(Number) && value % 1 === 0 && value >= -2147483648 && value <= 2147483647;
});
Here, by define the validate function we can decided what is 'Integer' in our program.
Example 7
Defined new type by leverage existing type, I mean:
schema.type('Proposal',{
id: schema.Integer
title: String,
description: String,
resourceDemands: [schema.ResourceDemand]
});
Other interesting features:
Example 8
Generate data.
'Generate' is another interesting feature provided by duck-type.
schema.generate(schema.Proposal); //it will return an object, which must compatible with type Proposal.
I mean,
{
id: 112,
title: 'sdfasf adsf',
description: 'sdfsdf sdf 234s sd',
resourceDemands: [{
resourceTypeId: 123,
year: 2343,
month: 234,
quantity: 444
}]
}
The object like above might be return, of cause, most of value will be changed randomly.
Example 9
Optional property
The type can define optional property for an object by using function schema.optional.
schema.type('Profile', {
name: String,
skill: schema.optional(String)
});
Here, skill' is a optional property, it can be undefined, BUT, if it has value, the value must be a String.
Example 10
Operator: And, Or
Dynamic data type of arguments is common in JavaScript. which means we need operator 'Or',
schema.assert(x).is(schema.or(String, Number));
Here, the value of parameter 'x' can be a String, or can be a Number.
Example 11
Implement Interfaces
In Java world, we often need make sure a Object must implement Interface A, Interface B... Similarly, operator 'And' can used for this purpose in JavaScript.
schema.type('Config',{ //here is definition of type 'Config'
orderBy:String
layout: String
});
schema.type('Query',{ //here is definition of type 'Query'
table: String,
id: Number
});
schema.assert(x).is(schema.and(schema.Config, schema.Query));
Here, we want to make sure the value of 'x' must implement type 'Config', and type 'Query' at same time.
End
The library duck-type is still developing continually, more interesting feature will be bring to you. We also except any of your comments.
More information can be get by accessing Wiki page
Thanks :)