Having followed Yury Selivanov yselivanov.ml at gmail.com proposal to add async/await to Python (PEP 492 Coroutines with async and await syntax and (PEP 525 Asynchronous Generators) and and especially the discussion about PEP 530: Asynchronous Comprehensions I would like to add some concerns about the direction Python is taking on this.
As Sven R. Kunze srkunze at mail.de mentions the is a risk of having to double a lot of methods/functions to have an Async implementation. Just look at the mess in .NET when Microsoft introduced async/await in their library, a huge number of functions had to be implemented with a Async version of each member. Definitely not the DRY principle.
While I think parallelism and concurrency are very important features in a language, I feel the direction Python is taking right now is getting to complicated, being difficult to understand and implement correct.
I thought it might be worth to look at using async at a higher level. Instead of making methods, generators and lists async, why not make the object itself async? Meaning that the method call (message to object) is async
Example:
class SomeClass(object):
def some_method(self):
return 42
o = async SomeClass() # Indicating that the user want’s an async version of the object
r = o.some_method() # Will implicit be a async/await “wrapped” method no matter impl.
# Here other code could execute, until the result (r) is referenced
print r
I think above code is easier to implement, use and understand, while it handles some of the use cases handled by defining a lot of methods as async/await.
I have made a small implementation called PYWORKS (https://github.com/pylots/pyworks ), somewhat based on the idea above. PYWORKS has been used in several real world implementation and seams to be fairly easy for developers to understand and use.
br
/Rene
PS. This is my first post to python-ideas, please be gentle :-)
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