Extension of MMM-Tools (Bugsounet)

A Former User

I finalize ;) and go to master !

You can try it, if you want

cd ~/MagicMirror/modules
git clone -b dev https://github.com/bugsounet/MMM-Tools
cd MMM-Tools
npm install

and read the dev readme for config

Edit for ALL!

Dev is now freeze and waiting for YOUR debug, corrects or additions
For me it’s ready for release :)
Give me your Feedback !
I can display all user connected but … really interesting, i don’t know ??
Maybe i have forget something ?

I do this module for you !
actually for my usage, it’s ok
so tell me what do you want to display ;)

A Former User

So ?

Added : MMM-TelegramBot warning (wanted by @lxne)
Modified translation: it (thx @Cr4z33) , de (thx @lxne)

Can I Release it ? nothing else to add ?

A Former User

MMM-Tools v2.0.0 is now Released !

Please Read wiki for new configuration

robertybob

@Bugsounet I will download it this week and report back ! :D

A Former User

no problem, in all case, I release it (It is necessary, otherwise I will never do it!)

It’s not because I’m releasing that I’m going to drop the project!
if necessary I will add new request or correct some bug (maybe if happen)

when i promise something i try to do my best for you all ! :)

MrDondoT

@Bugsounet - fyi using the module with MMM-TelegramBot happens that “The usage of CPU is …” over 100% (129 percent), I even got 238 percent

A Former User

yes i know, i try an average value of cpu usage, i don’t know about the unit return value … I have X100 value but i think it’s not that

so disable it (set it to 0), i will see

A Former User

so … what is he unit of this:
load average: 0,97, 0,72, 0,62

i see some value > 1.5
so it’s not in %

I don’t want to check with the actual CPU usage value, because it’s not for a warning. i think average is a good choice but … my npm library for average not works like I want … humm

sdetweil

@Bugsounet remember there are multiple cores. all at 100% usage is maybe 200%

A Former User

so … RPI have 4 cores => can display 400% ?

if it’s that … I have to determinate the number of core (the npm libray can do that)
and divide the result by the number of cores

something like that :
avg = (averageValue * 100) / nbCore