[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Irit Katriel via Python-ideas
 

On Sunday, May 23, 2021, 02:23:05 PM GMT+1, Shivam Saini 
 wrote:  
 >> Like the first example in which I am sending an log, which isn't important. 

If the log is not important, then why are you sending it?

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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Serhiy Storchaka
23.05.21 12:42, Shivam Saini пише:
>     except:
>         pass

Don't do this. Never write a bare except handler which does not re-raise
an exception. There are few exceptions of this rule, but it is unlikely
that you will see them in first years of your practice. It is an
anti-pattern, and a feature that facilitates its use will never be added.

Always specify exceptions which you expect to catch. If you want to look
cool, you can use contextlib.suppress(), although it can make further
refactoring more difficult.

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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Serhiy Storchaka
23.05.21 16:22, Shivam Saini пише:
> After all, python is known for one liners

It is not Python that is known for one liners. Python syntax is rather
opposed to one liners. It encourages and sometimes forces a user to
write well-indented code.

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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Ricky Teachey
On Sun, May 23, 2021, 12:02 PM Damian Shaw 
wrote:

> FYI,
>
> Something very similar already exists in the standard library,
> contextlib.suppress:
> https://docs.python.org/3/library/contextlib.html#contextlib.suppress
>
> It makes a nice 2+ liner for a lot of situations:
>
> with suppress(Exception):
> ...
>
> Seems more flexible than OPs keyword suggestion as you can fit an entire
> block of code in there, not just a single expression. And it's quite
> semantically expressive.
>
> Damian
> (he/him)
>

I agree this is better than a decorator or the OP's idea. Didn't know this
existed but I'll definitely be making use of it.

>
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Ricky Teachey
On Sun, May 23, 2021, 9:35 AM Stestagg  wrote:

> FYI, default here is unused.
>

Thanks! Yes I had put that at the first and intended to remove it.
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread 2QdxY4RzWzUUiLuE
On 2021-05-24 at 01:34:29 +1000,
Steven D'Aprano  wrote:

> On Sun, May 23, 2021 at 06:52:38PM +0530, Shivam Saini wrote:
> 
> > After all, python is known for one liners and this would be an another
> > great one liner if implemented.
> 
> Python isn't known for one-liners. You might be thinking of Perl.

I agree.

> Being known for one-liners is a bad thing. It means that your language 
> is famous for being written in an obfuscated, hard to read, hard to 
> maintain, style.

Being known for one-liners can (*can*, not must) mean that my language
has the right features, abstractions, and APIs for common use cases and
task(s) at hand.

Most programs are composed of multiple one-liners.  ;-)

Any program can be one line long if I put all the details into a library
function.  That said, a [standard] library that contains everything is
not a good goal.
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Damian Shaw
FYI,

Something very similar already exists in the standard library,
contextlib.suppress:
https://docs.python.org/3/library/contextlib.html#contextlib.suppress

It makes a nice 2+ liner for a lot of situations:

with suppress(Exception):
...

Seems more flexible than OPs keyword suggestion as you can fit an entire
block of code in there, not just a single expression. And it's quite
semantically expressive.

Damian
(he/him)

On Sun, May 23, 2021 at 9:28 AM Ricky Teachey via Python-ideas <
python-ideas@python.org> wrote:

> 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  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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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Steven D'Aprano
On Sun, May 23, 2021 at 06:52:38PM +0530, Shivam Saini wrote:

> After all, python is known for one liners and this would be an another
> great one liner if implemented.

Python isn't known for one-liners. You might be thinking of Perl.

Being known for one-liners is a bad thing. It means that your language 
is famous for being written in an obfuscated, hard to read, hard to 
maintain, style.



-- 
Steve
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Stestagg
FYI, default here is unused.

On Sun, 23 May 2021 at 14:29, Ricky Teachey via Python-ideas <
python-ideas@python.org> wrote:

> 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  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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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Shivam Saini
That wont be an oneliner still. We can add decorator to a function,  and
that don't even be very readable. If we can convert that decorator to an
inbuilt keyword that would work as an one liner and would be very readable
too.

On Sun, 23 May 2021, 18:56 Ricky Teachey,  wrote:

> 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  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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>>
>>
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Ricky Teachey via Python-ideas
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  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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>
>
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Shivam Saini
That's what I think it should be for.
I know safe open(...) isn't a really good example for this, but I had just
used that for demonstration purposes. Instead what I am saying is that
sometimes we just don't care even if an statement raises exception. Like
the first example in which I am sending an log, which isn't important.
And in any case, the original try except keywords will still be there.

Also I read the similar idea you mentioned, and I guess that is also a good
way to implement it.
We can replace *safe telegram_log("...")* with one liner: *telegram_log("...")
except: None*

After all, python is known for one liners and this would be an another
great one liner if implemented.
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[Python-ideas] Re: New Idea: A safe keyword to execute the following statement in a failsafe mode.

2021-05-23 Thread Thomas Grainger
sounds very much like https://www.python.org/dev/peps/pep-0463/#rejection-notice

I'm concerned with the `safe` defaulting to a bare `except:` which will also 
catch CancelledError other errors that should be re-raised

also 
```
   file = safe open('some_file')
```

does not provide a way to manage the file with a context manager: 

```
f = safe open("some_file")
if f is None:
# do something
else:
with f:
# do something else
```

seems no improvement  than the current:

```
try:
f = open("some_file")
except OSError:
# do something
else:
with f:
# do something else
```
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