I think you can already do all of this with a custom exception-swallowing
decorator function.
Something like this:
from functools import wraps
def swallow(*exceptions, default=Exception, result=None):
if not exceptions:
exceptions = Exception,
def decorator(func):
@wraps(func)
def wrapped(*args, **kwargs):
try:
return func(*args, **kwargs)
except exceptions:
return result
return wrapped
return decorator
Then just write:
@swallower()
def some_func():
log_to_telegram('This is a not important message. It's okay even if it
isn\'t delivered.')
For divide by zero errors you need to put the division operation in a
lambda function:
safe_divide = swallow(DivideByZero, result=0)
division = safe_divide(lambda: a/b)
I didn't test any of this but it should be working.
On Sun, May 23, 2021, 8:54 AM Shivam Saini <shivams...@gmail.com> wrote:
> Sometimes, we need to execute a statement, which might throw an exception
> and we want to return None if it causes an exception. In short, we want to
> run that command as failsafe mode, so that it doesn't cause abnormal
> termination in case of any exception.
>
> *Approach till now:*
>
> def log_to_telegram(text):
> ''' Suppose you want to send some log to some telegram channel using
> telegram bot api. It might raise Network Error, or Invalid Bot token error.
> '''
> send_message(CHANNEL, BOT_TOKEN, TEXT) # Suppose send_message is a
> function wrapper for telegram bot api.
>
> def some_func():
> try:
> log_to_telegram('This is a not important message. It's okay even
> if it isn\'t delivered.')
> except:
> pass
> # Next work
>
> *Suggested approach:*
>
> # consider the same log_to_telegram function as defined in previous example
>
> def some_func():
> safe log_to_telegram('This is a not important message. It's okay even
> if it isn\'t delivered.')
> # safe keyword ensures that it raises no exception and the process
> isn't terminated even if log_to_telegram function raises an exception.
>
> *Other examples:*
>
> *1. By default, it will return None.*
> * Example: *
> try:
> file = open('some_file')
> except:
> file = None
> * Can be rewritten as:*
> file = safe open('some_file')
>
> *2. We can provide a return value explicitly which should be returned in
> case of some exception.*
> * Example: *
> try:
> division = a/b
> except:
> division = 0
> * Can be rewritten as:*
> division = safe(0) a/b
>
> *3. We can set what exceptions we want to be 'safed'.*
> * Example: *
> try:
> element = some_list[index]/divisor
> except ZeroDivisionError:
> element = 0 # It will make element zero if divisor is zero,
> but it will not except IndexError in case index is out of range for
> some_list
> * Can be rewritten as:*
> element = safe(0, ZeroDivisionError) some_list[index]/divisor
>
> *I think this keyword should be there in python, it will make code short
> and readable. *
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