randoc
v1.1.0
Published
Generates random documents based on a simple schema for your test or stub data
Downloads
13
Maintainers
Readme
Randoc
Generates random documents based on a simple schema using Chance.js functions.
Handy for creating test / stub data.
Getting started
Install
$ npm install --save randoc
Create one random document
const { randomDocument } = require('randoc');
const oneDoc = randomDocument({ name: 'name', age: 'age' });
// { name: 'Jorge Floyd', age: 60 }
Where name
and age
are both Chance.js functions.
Create many random documents
const { randomDocuments } = require('randoc');
const lots = randomDocuments({ name: 'first', employed: 'bool' }, 7);
/* [ { name: 'Chase', employed: false },
{ name: 'Alejandro', employed: true },
{ name: 'Lewis', employed: true },
{ name: 'Lulu', employed: true },
{ name: 'Ora', employed: false },
{ name: 'Tony', employed: false },
{ name: 'Nellie', employed: false }]
*/
Schema
The schema types randoc
uses loosely map to functions offered by Chance.js, with a few additional options.
Simple Chance.js types
The simplest schema looks something like:
const schema = { isMonday: 'bool' };
const doc = randomDocument(schema);
// { isMonday: false }
Passing an argument to the Chance.js function
const schema = { isMonday: { _type: 'bool', args: { likelihood: 1/7 } } };
const doc = randomDocument(schema);
// { isMonday: false }
Another example:
randomDocument({ name: 'name', age: { _type: 'natural', args: { max: 80 } } });
// { name: 'Norman McCoy', age: 9 }
Nested objects
randoc
supports nested objects:
const schema = { isMonday: 'bool', weather: { rain: 'bool', snow: 'bool' } };
const doc = randomDocument(schema);
// { isMonday: false, weather: { rain: true, snow: true } }
Arrays of Chance.js types
By default, the array will have a length of 1.
const schema = { professions: { _type: 'profession', _array: true } },
};
const doc = randomDocument(schema);
// { professions: ['Teacher'] }
You can specify the length of the array and the likelihood of it being empty. The example below has a 30% chance of including an empty array. Otherwise it will be an array of length 3.
const schema = { professions: { _type: 'profession', _array: { empty: 30, length: 3 } } },
};
const doc = randomDocument(schema);
// { professions: [] }
// or
// { professions: ['Software Developer', 'Recreational Director' 'Landscape Architect'] }
Arrays of objects
If provided with an array, randoc
will create a random document for each element.
const schema = { days: [ { isMonday: 'bool' } ] };
const doc = randomDocument(schema);
// { days: [ { isMonday: false } ] }
const schema = { days: new Array(10).fill({ isMonday: 'bool' }) };
const doc = randomDocument(schema);
/* { days:
[ { isMonday: false },
{ isMonday: true },
{ isMonday: true },
{ isMonday: false },
{ isMonday: false },
{ isMonday: false },
{ isMonday: true },
{ isMonday: false },
{ isMonday: false },
{ isMonday: true } ] }
*/
Special types
These are types not offered directly by Chance.js functions.
Enum
You may want to pick a value from a list of options:
const schema = { status: { _type: 'enum', options: ['new', 'available', 'expired'] } };
const doc = randomDocument(schema);
// { status: 'available' }
Properties that may not exist
The example below has a 70% chance of including a status
property:
const schema = { name: 'name', status: { _type: 'enum', _exists: 70, options: ['new', 'available', 'expired'] } };
const doc = randomDocument(schema);
//
Here is an example for an array of Chance.js generated cities which has a 30% chance of being empty or otherwise a length of three.
const schema = { cities: { _type: 'city', _exists: 30, _arrayOf: 3 } };
const doc = randomDocument(schema);
// cities: []
// or
// cities: ['Johannesburg', 'London', 'Singapore']
Note that _exists
is currently only available for "special" types and arrays.
Unknown types
If there is no Chance.js function for the _type
you've provided, randoc
will default to using chance.string()
.
A more complete example
Here's an example schema that showcases some of the available functionality:
const schema = {
widget: {
name: 'string',
storeId: {
_type: 'enum',
options: [543, 999, 1232, 110],
},
deleted: {
_type: 'bool',
args: {
likelihood: 5,
},
},
startDate: 'date',
outOfStock: {
_type: 'bool',
args: {
likelihood: 10,
},
},
discountable: {
_type: 'bool',
args: {
likelihood: 90,
},
},
},
status: {
_type: 'enum',
options: ['new', 'active', 'cancelled', ''],
},
};
/*
{ widget:
{ name: 'vU9SpLn3ZfsW3hud%DT',
storeId: 1232,
deleted: false,
startDate: 2103-10-13T14:26:33.440Z,
outOfStock: false,
discountable: true },
status: 'new' }
*/
License
MIT