Let R/Python send messages when the algorithms are done training

June 24, 2018

(This article was first published on Rbloggers – The Analytics Lab, and kindly contributed to R-bloggers)

As Data Scientists, we often train complex algorithms in order to tackle certain business problems and generate value. These algorithms, however, can take a while to train. Sometimes they take a couple of hours, hours which I’m not going to spend just sitting and waiting. But regularly checking whether the training is done, is also not the most efficient way.

Now I started to use Telegram to send me notifications from R and Python to let me know when training is done. Furthermore, I’m also using it for example to send me notifications when pipelines / ETLs fail, which allows me to repair them as soon as they fail.

It’s really easy, so I thought I’ll share my code!

First, after you’ve installed Telegram, search for the BotFather, which is a bot from the app itself. When you text /newbot, and follow the instructions, it will create your first bot and gives you a token. Copy this!

Next step is to find the id to send messages to. Find your bot in Telegram and say something. Then, go to your browser and go to https://api.telegram.org/bot/getUpdates, where it should show you your chat id.

Finally install the necessary packages for R [install.packages(‘telegram’)] and / or Python [pip install telegram]. And you’re ready!

For R, use the following function:

send_telegram_message <- function(text, chat_id, bot_token){ require(telegram) bot <- TGBot$new(token = bot_token) bot$sendMessage(text = text, chat_id = chat_id) }

And this one for Python:

def send_telegram_message(text, chat_id, bot_token):
import telegram
bot = telegram.Bot(token=bot_token)
bot.send_message(chat_id=chat_id, text = text )

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