A MagicMirror module that gives you truly random lottery numbers, coinciding with a multitude of International lotteries.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
LICENSE
MMM-Lottery.css
MMM-Lottery.js
README.md
lottery1.JPG
lottery2.JPG
node_helper.js

README.md

MMM-Lottery

A MagicMirror module that gives you truly random lottery numbers, coinciding with a multitude of International lotteries.

Examples

With header centered and colored numbers centered

With no header and colored numbers aligned to the right

How true randomness is established

https://www.random.org/randomness/

Info

  • Uses very little of your precious mirror real estate. Fits anywhere!
  • Make it bigger. Make it smaller. Color it. Align it. Make it yours!
  • The .css file included helps you modify size, position and color of text.
  • Need a color chart? No problem. http://htmlcolorcodes.com/color-picker/

Installation

  • git clone https://github.com/mykle1/MMM-Lottery.git into the ~/MagicMirror/modules directory.

Add to Config.js

{
    module: "MMM-Lottery",
    position: "top_right", // Anywhere!
    config: {
	 mode: "6of39",
        maxWidth: "400px",    
        header: ""         // Header text inside quotes
    }
},

Lottery parameters for config mode.

Choose your countries lottery parameters:

6of38, 6of39, 6of40, 6of43, 6of45, 6of47, 6of48, 6of49, 6of52, 6of59, 6of69, 6of90 7of35, 7of36, 7of37, 7of40, 7of49, 7of70, 10of90

Config Options

Option Default Description
mode 6of69 Choose your lotteries parameters from list above.
maxWidth 400px Fits anywhere.
header text If you want a header
animationSpeed 3000 Transition speed in ms.
updateInterval 5*60*1000 5 minutes.
initialLoadDelay 3250 Module load delay in ms.
retryDelay 2500 Delay to retry fetching data.

Credits

I would be remiss if I did not mention "Bropane" and his assistance. He prefers to remain anonymous.

Also, I would like to thank Dr Mads Haahr, School of Computer Science and Statistics, Trinity College, Dublin 2, Ireland, for being kind enough to answer my email. Dr Haahr founded, and is the CEO of RANDOM.org where the numbers are generated.