Monke mock

A fast mock data generator with a great typescript support and no 3rd party dependencies.

Introduction

I could not find any cool package for quickly creating a mock schema of objects and arrays for my unit tests or just to populate site with random data. That is why I decided to create my own version of it.

Benefits of using monke-mock

While faker.js provides an excellent generator for data like emails, names, etc. it is not suitable for generating developer-defined shapes of data. Let's say that you want to have an array of objects for testing purposes. While it is possible, but not straightforward to accomplish using the faker.js, it is extremely easy with monke-mock.

Faker way:
``typescript
const arr = [];
for(let i = 0; i < 100; i++){
arr.push({
x: faker.datatype.number()
});
}
`

Monke-mock way:
`typescript
const data = Marray(MObject({x: Mnum()})).Length(100).generate();
`

Getting started

Install with:
`
npm install monke-mock
`
`
yarn add monke-mock
`

Currently monke-mock supports following data types:
* number - Mnum
* string - Mstring
* object - Mobject
* array - Marray
* Date - Mdate

| Data type | Function | Available modifiers|
|-----------|----------|--------------------|
| number | Mnum | Max(), Min(), IsInt()|
| string | Mstring | Length(), UseNumbers()|
| date | Mdate | Max(), Min()|
| object | Mobject | |
| array | Marray | Length() |

Examples

$3

`typescript
import { Mnum } from 'monke-mock';

const x = Mnum().generate();
`

You can also specify Min and Max values:
`typescript
import { Mnum } from 'monke-mock';

const x = Mnum().Min(21).Max(37).generate();
`

$3

`typescript
import { Mnum } from 'monke-mock';

const x = Mnum().Min(-100).Max(0).generate();
`

$3

`typescript
import { Marray, Mstring } from 'monke-mock';

const x = Marray(Mstring()).generate();
`

$3

`typescript
import { Mobject, Mstring } from 'monke-mock';

const x = Mobject({fixedKey: 1, someRandomString: Mstring()}).generate();
`

$3

`typescript
import { Mcustom, Marray, IMockGenerator } from 'monke-mock';


// First define a class that implements the IMockGenerator
class ACustomGenerator implements IMockGenerator {

// the generate() function should implement the algorithm that returns the random data
generate(): number {
return Date.now() % 2 ? 1 : -1;
}
}

// Then use the Mcustom function to wrap the class
const x = Marray(Mcustom(ACustomGenerator));
``