FuncNotify

Premise:

Sometimes, functions take a long time. I wanted to create something that automatically notifies you when they're completed or of any errors, training ML. The advantage over other decorator nontifiers is that there's an added option to hide your api tokens and emails so they aren't accidentally pushed to a public repo.

This is a super lean ReadMe, check out the github linked here

Installation

$ pip install FuncNotify

Use case

# Add more as projects grow!
from FuncNotify import time_func, time_text, time_slack


@time_func(NotifyMethod="Text", use_env=True, env_path".env", update_env=True, cellphone="8001234567")
def wait_func():
    """This function will use the text method and pull env varaibles from
    `.env`, it will update the already determined env variables too!"""
    do_something()


@time_Text()
def wait_func2():
    """All parameters are optional and each method has a personal decorator, even the 
    function call is optional see below"""
    do_something()

@time_Text
def wait_func3():
    """Auto pull from `.env` is enabled by default with Method specific time decorators"""
    do_something()

@time_func(multi_target=[{...}, {...}], multi_env=["1.env", "2.env"])
def wait_func4():
    """Send to multiple sources either through specifiying multiple dictionaries of kwargs
    or multiple .env paths, or both in pairs!"""
    do_something()

if __name__ == "__main__":
    """You don't even need to use the timer as a decorator, use it as a normal function
    This is how we do testing 😊 """
    time_func(function=wait_func5)(*func5_args, **func5_kwargs)

Both accomplish the same objective of notifying the user after wait_func() completes, one does so with the phone number saved as a env variable in .env so it never accidentally gets exposed.

Supported Notify Methods

Create .env in current working directory and fill out information that you wanna use

template.env