[PYTHON] Notify Slack when the machine learning process running on GCP is finished

table of contents

1. Overview
2. Set up Incoming Webhooks in Slack
3. Try posting to the URL of the Incoming Webhook
4. Try to notify Slack with execution time

1. Overview

It takes hours to process machine learning at Kaggle competitions. .. If you have a high-spec VM, the monthly fee will be quite high, so please let us know in order to stop the VM or perform another process when the process is finished! Here's how to notify Slack of processing status!

2. Set up Incoming Webhooks in Slack

Access Slack's Incoming Webhook settings screen: [Slack] Incoming WebHooks

Select a channel to notify

Click "Add Incoming Webhooks integration"

The red frame below is the URL of the Incoming Webhook, so copy it.

Rename for Slack notifications: Optional

Changed icon for Slack notifications: Optional

If there is no problem, click "Save Settings"

3. Try posting to the URL of the Incoming Webhook

Install slack web

Terminal

pip install slackweb

** Example of slack web installation on Jupyter Lab on GCP **

Try Post

#slackweb module import
import slackweb

#Specifying Slack's Incoming Webhook
slack = slackweb.Slack(url="URL of Slack's Incoming Webhook") #Rewrite it to your own URL

#Send with comment
slack.notify(text="It's a test")

** Example on Jupyter Lab on GCP **

Run!

It's definitely coming in real time!

4. Try to notify Slack with execution time

#Import of required module
import slackweb
import datetime

#Classify Slack notifications
class Slack_notice():
    start = 0
    
    def __init__(self):
        self.slack = slackweb.Slack(url="URL of Slack's Incoming Webhook") #Rewrite it to your own URL
        
    def begin(self):
        self.start = datetime.datetime.now()
        self.slack.notify(text='[Notice] ' + str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M")) + '\n Processing has started!')

    def end(self):
        elapsed_time = datetime.datetime.now() - self.start
        self.slack.notify(text='[Notice] ' + str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M")) + '\n Processing is finished! \n Time required'+ str(elapsed_time) + 'is')

# Slack_notice class call
slack_notice = Slack_notice()

#Pre-execution notification
slack_notice.begin()

#The process you want to execute-------------------------------------------------------------------------
#This time, for the sake of clarity, I just printed every second.
from time import sleep

for num in range(10):
    print(num)
    sleep(1)
# -------------------------------------------------------------------------------------

#Pre-execution notification
slack_notice.end()

** Example on Jupyter Lab on GCP **

reference

[Qiita] Post to slack with Python 3

[Qiita] Let's easily make a screen video to upload to Qiita with gif animation