On Fri, Jul 21, 2017 at 4:10 AM, Tom Christie
wrote:
> Hi Andrew,
>
> Thanks for writing that up so comprehensively!
>
> Definitely in favor of moving to a server:consumer interface - as you say
> that doesn't preclude over-the-network from being one of the possible
> deployment styles.
>
> I lik
Hi Tom,
I want to experiment with a uvicorn approach. I planning to do some after
PoC of worker separation from channels. I will let you know if I have some
questions. **Probably** Channels as a library will be a first user of the
suggested interface of the uvicorn.
Regards, Artem.
On Fri, Jul 2
Hi Andrew,
Thanks for writing that up so comprehensively!
Definitely in favor of moving to a server:consumer interface - as you say
that doesn't preclude over-the-network from being one of the possible
deployment styles.
I like your proposed approach to async vs sync variants of the interface.
You're absolutely correct! Single thread approach not gonna work. It will
involve at least two threads to implement such kind of a worker.
I don't wanna mix async layers with sync workers right now. This makes no
sense to me because it still requires threading (asyncio.run_in_executor at
least)
Well, in that case you'd have to invert the API to provide the channel
layer with a callable for new messages and then run an event loop it
controls, which is not going to work with async or most sync code. I think
the best approach for something like that is putting the receive code in a
separate
Hi,
I know we discussed it in private. But I want to bring some ideas in public.
During asgi_rabbitmq implementation I notice that channel workers are
coupled to much to the polling of the channel layer. I want to try a
different approach when layer can decide on its own when the message
arriv
Hi all,
After recent threads on ASGI and similar problems (
https://groups.google.com/forum/#!topic/django-developers/_314PGl3Ao0), and
my own introspection about where we are almost two years in, there are some
changes I would like to make to the overall way ASGI/Channels works, both
to make thin
