Question

suppose you have a function that can return some object or None:

def foobar(arg):
   if arg == 'foo':
       return None
   else:
       return 'bar'

Now you call this method and you want to do something with the object, for this example i get a str, so i may want to call the upper() function. There are now two cases that can happen, where the second one will fail, because None has no method upper()

foobar('sdfsdgf').upper()
foobar('foo').upper() 

of course this is now easy to fix:

tmp = foobar('foo')
if tmp is not None:
    tmp.upper()
# or
try:
    foobar('foo').upper()
except ArgumentError:
    pass
# or
caller = lambda x: x.upper() if type(x) is str else None
caller(foobar('foo'))

but the exception handling is maybe not specfic enough and it can happen that i catch an exception that could be important (= debugging gets harder), while the first method is good but can result in larger code and the third option looks quite nice but you have to do it for all possible functions so method one is probably the best.

I wonder if there is any syntactic sugar that handle this problem nicely?

Was it helpful?

Solution

You can use:

(foobar('foo') or '').upper()

The expression inside the parenthesis returns a string, even if foobar() returns a falsy value.

This does result in None being replaced by the empty string. If your code relies on None being left in place, your best choice still is to use a separate if statement to call .upper() only if the return value is not None.

OTHER TIPS

Since this question was answered, there are several new developments that make this pattern a bit easier.

The pymaybe package allows you to simply wrap your values with maybe to silently propagate None values:

from pymaybe import maybe
maybe(foobar('foo')).upper()

This is very similar to the answer by Martijn Pieters except that it preserves None values instead of replacing them with an empty string and it'll be more robust in the presence of multiple falsey values.

Furthermore, it looks like there's a standards track draft proposal at PEP 505 that looks to add syntaxes akin to C#'s ?. accessors to the language itself. I'm not sure how much support it has, but it's a place to look for possible further enhancements.

An alternate approach - the first/third options can be wrapped up:

def forward_none(func):
    def wrapper(arg):
        return None if arg is None else func(arg)
    return wrapper

And keep in mind that methods don't have to be used as methods - they're still attributes of the class, and when looked up in the class, they're plain functions:

forward_none(str.upper)(foobar('foo'))

And we can also use this as a decorator:

@forward_none
def do_interesting_things(value):
    # code that assumes value is not None...

do_interesting_things(None) # ignores the original code and evaluates to None
do_interesting_things("something") # as before decoration

Although in practice, if I had to, I would probably do what Martijn suggests. And I would try really hard not to have to; getting into this situation is a code smell suggesting that we should have raised an exception rather than returning None in the first place. :)

With the walrus operator python 3.8:

if x := foobar("b"):  # Truthy if x is not None
    x.upper()

... or more explicit:

if (x := foobar("b")) is not None:
    x.upper()
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