A small library based on knockknock to get a notification when your function call starts, finishes, or when it crashes during the process with two additional lines of code.
Say goodbye to the guessing game, lemiknow will let you know what you need to know, when you need to know.
Install with pip
or equivalent.
pip install lemiknow
This code has only been tested with Python >= 3.6.
The library is designed to be used in a seamless way, with minimal code modification: you only need to add a decorator on top your main function call. The return value (if there is one) is also reported in the notification.
There are currently four ways to setup notifications:
Platform | Original External Contributor | Updated & Tested |
---|---|---|
Slack | - | Yes |
Telegram | - | Yes |
Discord | @watkinsm | Yes |
Matrix | @jcklie | Yes |
To be implemented and tested:
Platform | Original External Contributor | Updated & Tested |
---|---|---|
Microsoft Teams | @noklam | No |
Text Message | @abhishekkrthakur | No |
- | No | |
Desktop | @atakanyenel | No |
Every decorator works the same way but some may require different parameters. Here is a dummy example to show the usual scenario
from lemiknow import fake_sender
@fake_sender(webhook="<your_webhook_url>", message=None, notify_end=True, include_details=True)
def function_call(parameters):
import time
time.sleep(10)
return "Success" # Optional return value
Every decorator has the following three optional paramenters:
message: str
Optional message to include when notifying the function call.
default: None
notify_end: bool
Send a notification when the function finishes (not recommended for short calls).
default: True
include_details: bool
Adds extra information on notifications like hostname, start time, etc.
Can't be False if message is None.
default: True
from lemiknow import fake_sender
message = "This function is fast and doesn't need a notification when it finishes!"
@fake_sender(webhook="<your_webhook_url>", message=message, notify_end=False, include_details=True)
def function_call(parameters):
return "So fast" # Optional return value
from lemiknow import fake_sender
message = "I don't need every detail included for this notification"
@fake_sender(webhook="<your_webhook_url>", message=message, notify_end=False, include_details=False)
def function_call(parameters):
return "So little detail" # Optional return value
You can use Telegram Messenger to get notifications. You'll first have to create your own notification bot by following the three steps provided by Telegram here and save your API access TOKEN
.
Telegram bots are shy and can't send the first message so you'll have to do the first step. By sending the first message, you'll be able to get the chat_id
required (identification of your messaging room) by visiting https://api.telegram.org/bot<YourBOTToken>/getUpdates
and get the int
under the key message['chat']['id']
.
from lemiknow import telegram_sender
CHAT_ID: int = <your_messaging_room_id>
@telegram_sender(token="<your_api_token>", chat_id=CHAT_ID)
def function_call(parameters):
import time
time.sleep(10)
return "Success" # Optional return value # Optional return value
lemiknow telegram \
--token <your_api_token> \
--chat-id <your_messaging_room_id> \
sleep 10
The service relies on Yagmail a GMAIL/SMTP client. You'll need a gmail email address to use it (you can setup one here, it's free). I recommend creating a new one (rather than your usual one) since you'll have to modify the account's security settings to allow the Python library to access it by Turning on less secure apps.
from lemiknow import email_sender
@email_sender(recipient_emails=["<your_email@address.com>", "<your_second_email@address.com>"], sender_email="<grandma's_email@gmail.com>")
def train_your_nicest_model(your_nicest_parameters):
import time
time.sleep(10000)
return {'loss': 0.9} # Optional return value
lemiknow email \
--recipient-emails <your_email@address.com>,<your_second_email@address.com> \
--sender-email <grandma's_email@gmail.com> \
sleep 10
If sender_email
is not specified, then the first email in recipient_emails
will be used as the sender's email.
Note that launching this will asks you for the sender's email password. It will be safely stored in the system keyring service through the keyring
Python library.
Similarly, you can also use Slack to get notifications. You'll have to get your Slack room webhook URL and optionally your user id (if you want to tag yourself or someone else).
from lemiknow import slack_sender
webhook_url = "<webhook_url_to_your_slack_room>"
@slack_sender(webhook_url=webhook_url, channel="<your_favorite_slack_channel>")
def function_call(parameters):
import time
time.sleep(10)
return "Success" # Optional return value # Optional return value
You can also specify an optional argument to tag specific people: user_mentions=[<your_slack_id>, <grandma's_slack_id>]
.
lemiknow slack \
--webhook-url <webhook_url_to_your_slack_room> \
--channel <your_favorite_slack_channel> \
sleep 10
You can also specify an optional argument to tag specific people: --user-mentions <your_slack_id>,<grandma's_slack_id>
.
You can also use Discord to get notifications. You'll just have to get your Discord channel's webhook URL.
from lemiknow import discord_sender
webhook_url = "<webhook_url_to_your_discord_channel>"
@discord_sender(webhook_url=webhook_url)
def function_call(parameters):
import time
time.sleep(10)
return "Success" # Optional return value
lemiknow discord \
--webhook-url <webhook_url_to_your_discord_channel> \
sleep 10
Matrix is supported for notifications. The homeserver is the
server on which your user that will send messages is registered. Do not forget the schema for the URL (http
or https
).
You'll have to get the access token for a bot or your own user. The easiest way to obtain it is to look into Riot looking
in the riot settings, Help & About
, down the bottom is: Access Token:<click to reveal>
. You also need to specify a
room alias to which messages are sent. To obtain the alias in Riot, create a room you want to use, then open the room
settings under Room Addresses
and add an alias.
from lemiknow import matrix_sender
HOMESERVER = "<url_to_your_home_server>" # e.g. https://matrix.org
TOKEN = "<your_auth_token>" # e.g. WiTyGizlr8ntvBXdFfZLctyY
ROOM = "<room_alias" # e.g. #lemiknow:matrix.org
@matrix_sender(homeserver=HOMESERVER, token=TOKEN, room=ROOM)
def function_call(parameters):
import time
time.sleep(10)
return "Success" # Optional return value
lemiknow matrix \
--homeserver <homeserver> \
--token <token> \
--room <room> \
sleep 10
Thanks to @noklam, you can also use Microsoft Teams to get notifications. You'll have to get your Team Channel webhook URL.
from lemiknow import teams_sender
@teams_sender(token="<webhook_url_to_your_teams_channel>")
def train_your_nicest_model(your_nicest_parameters):
import time
time.sleep(10)
return {'loss': 0.9} # Optional return value
lemiknow teams \
--webhook-url <webhook_url_to_your_teams_channel> \
sleep 10
You can also specify an optional argument to tag specific people: user_mentions=[<your_teams_id>, <grandma's_teams_id>]
.
Thanks to @abhishekkrthakur, you can use Twilio to send text message notifications. You'll have to setup a Twilio account here, which is paid service with competitive prices: for instance in the US, getting a new number and sending one text message through this service respectively cost $1.00 and $0.0075. You'll need to get (a) a phone number, (b) your account SID and (c) your authentification token. Some detail here.
from lemiknow import sms_sender
ACCOUNT_SID: str = "<your_account_sid>"
AUTH_TOKEN: str = "<your_auth_token>"
@sms_sender(account_sid=ACCOUNT_SID, auth_token=AUTH_TOKEN, recipient_number="<recipient's_number>", sender_number="<sender's_number>")
def train_your_nicest_model(your_nicest_parameters):
import time
time.sleep(10)
return {'loss': 0.9} # Optional return value
lemiknow sms \
--account-sid <your_account_sid> \
--auth-token <your_account_auth_token> \
--recipient-number <recipient_number> \
--sender-number <sender_number>
sleep 10
You can also get notified from a desktop notification. It is currently only available for MacOS.
from lemiknow import desktop_sender
@desktop_sender(title="lemiknow Desktop Notifier")
def train_your_nicest_model(your_nicest_parameters):
import time
time.sleep(10000)
return {"loss": 0.9}
lemiknow desktop \
--title 'lemiknow Desktop Notifier' \
sleep 2