Django 3.0 is adding asgi / async support and with it a guard around making synchronous requests in an async context. Concurrently, IPython just added top level async/await support, which seems to be running the whole interpreter session inside of a default event loop.
Unfortunately the combination of these two great addition means that any django ORM operation in a jupyter notebook causes a SynchronousOnlyOperation
exception:
SynchronousOnlyOperation: You cannot call this from an async context - use a thread or sync_to_async.
As the exception message says, it's possible to wrap each ORM call in a sync_to_async()
like:
images = await sync_to_async(Image.objects.all)()
but it's not very convenient, especially for related fields which would usually be implicitly resolved on attribute lookup.
(I tried %autoawait off
magic but it didn't work, from a quick glance at the docs I'm assuming it's because ipykernels always run in an asyncio loop)
So is there a way to either disable the sync in async context check in django or run an ipykernel in a synchronous context?
For context: I wrote a data science package that uses django as a backend server but also exposes a jupyter based interface on top of the ORM that allows you to clean/annotate data, track machine learning experiments and run training jobs all in a jupyter notebook.