Training metrics as notifications on mobile using Callbacks

Part 2 & Alumni (2018)
4

Here’s the version which I use, which uses Telegram as the transport layer:

"""
Derived from Matt Potma's basic telegram bot usage script.

Utilizes this API Library:
   https://github.com/python-telegram-bot/python-telegram-bot
To install:
   pip install python-telegram-bot --upgrade

In ~/.telegram on the machine running the job, put

{"api_key": "462203107:<your API key>",
 "chat_id": "<your chat ID>"}

Here's how you get an API key:
   https://core.telegram.org/api/obtaining_api_id
Here's how you get your chat ID:
   https://stackoverflow.com/questions/32423837/telegram-bot-how-to-get-a-group-chat-id

"""

import telegram
import json
import os

def notify_me(message="Job's done!"):
    filename = os.environ['HOME'] + '/.telegram'
    with open(filename) as f:
        json_blob = f.read()
        credentials = json.loads(json_blob)

    # Initialize bot
    bot = telegram.Bot(token=credentials['api_key'])

    # Send message
    bot.send_message(chat_id=credentials['chat_id'], text=message)

I just use it to tell me the job is over (so I can turn off the instance and not keep racking up charges), but it would be easy to change to provide information about the run.

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