ipynb
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investigate relative imports.
I'm guessing we'll have user that want to import ..anipynbmodule not sure how to do that explicitly.
I played around with this. If you can get __package__ to be 'ipynb.fs' and have ipynb.fs imported, then you can just do from .somenotebook import X and it'll work same as from ipynb.fs.somenotebook import X. We could possibly do this for notebooks with an ipython extension of some sort?
Right now, I tested this by having two files:
wat/say.ipynb:
def say(what):
print(what)
wat/init.ipynb
from .say import say
__all__ = [say]
Now, from outside, I could do this:
from wat import say
say('hello world')
That calls the correct function, and works!
So this works from the outside. However, if I try to execute wat/init.ipynb in the notebook interface, I get the following error on import:
SystemError: Parent module '' not loaded, cannot perform relative import
if I run:
__package__ = 'ipynb.fs.wat'
before importing, it gets to:
SystemError: Parent module 'ipynb.fs.wat' not loaded, cannot perform relative import
Which is better. if I do a:
import ipynb.fs.wat
in init.ipynb it succeeds (weird!) and then if I try to relative import again I get:
ImportError: No module named 'ipynb.fs.wat.Untitled'; 'ipynb.fs.wat' is not a package
Curious and needs more investigation :D
So I did a bunch of work here, and it kinda works.
In test.ipynb:
def say(what):
print(what)
In client.ipynb:
__package__ = 'ipynb.fs'
import ipynb.fs
from .test import say
say("hello world")
This works. The first two lines in the client are the boilerplate. We might be able to automate that with some ipynb extension setup maybe?
Note that this totally works when you're calling it from python directly or with python -m.
Funkier than expected. Right now, if notebook A imports notebook B as:
from ipynb.fs.full.notebookB import foo
and then notebook B imports notebook C as
import ipynb.fs
from .defs.notebookC import bar
The transient import will fail, since the package for notebookB will already be ipynb.fs.full.notebookB.
The underlying core problem is:
- Python doesn't set package for interactive usage at all, so relative imports currently don't work in notebook at all. So we're trying to add additional semantics there, and this causes confusion.
- We want the code to work the same when imported as a module and when run interactively. These need to be accomplished via separate mechanisms, and they must be kept in sync.
It looks like we might need to do AST munging to make this happen. We just munge AST to resolve the relative imports ourselves.