Say you have a main package "mylib" with a subpackage "mylib.utils". Typically I like to see "mylib.utils" imports as being in one of (roughly) 4 categories:
- standard imports, that I would put first in the file (e.g. "import logging")
- external imports, that I would put second in the file (e.g. "import requests")
- library local imports, bits and pieces from the "mylib" package that you want to reuse in "mylib.utils", but are external to the current package (e.g. "from mylib.email import client")
- and package local imports, which I see as implementation details of the current subpackage, and should be agnostic from the overall architecture of "mylib" (e.g. "from .helpers import help_function")
The last category are modules that only make sense from within "mylib.utils", should relocate with it even if it is renamed or moved elsewhere, and shouldn't require a change whatever the structure of "mylib" becomes, which is why I would use "mylib.utils" relative imports in there.
This is not supported in python. For reasons beyond my understanding, you are supposed to put the script with python, or with the shebang, in a different directory.
Alternatively, you can always use `python -m` to run your code.
Come again? This is what "import" does, obviously. This is not a clear explanation of your problem.
I say script here because the apparent intention is that scripts and modules are separate. That is why it's not easy to import functions from a file in the same directory as a script.
This restriction is very unexpected. And it is not borne out well by the fact that it is not obvious this distinction exists.
When you run a module, the root package containing it is on the path by definition and imports work.
Does that still work if you call the script from a different directory (so `python bar/foo.py`)?
Imma guess it doesn't work with symlinked scripts. But I don't think it should without doing an install, in which case a module does make sense.
I don't think Python will resolve symlinks here, so if that needs to work, you probably need to do it yourself before touching other code / files.
If the package uses absolute paths then I would need to tweak all the imports for the new absolute path.
Also the way that JS imports are just relative paths is very nice because it means that the imports are statically determinable, your editor can understand them and fix them automatically and you can trust that refactoring. Python has turing complete imports because there's so much dynamic messing about with sys.path that goes on in Python due to inadequacies of the import system.
Yes, just like absolute imports...
> relative paths is very nice because it means that the imports are statically determinable, your editor can understand them and fix them automatically and you can trust that refactoring
1) Just like absolute imports?
2) I absolutely contest that relative imports are easier for an IDE to refactor. I've never had VSCode hang while refactoring a Java package; I've had VSCode hang while refactoring "create-react-app" app...
import a.b.c
sys.path.insert(0, 'some/other/path')
import x.y.z
Or env PYTHONPATH="foo/bar:$PYTHONPATH" python ...
There is no way in general for Python tooling to figure out where an import points. All it can do is guess. It's a very regrettable situation.Yes in Java it's fine because Java has a build stage. So tooling can figure out where imports point to from your static configuration.
However from the tool's perspective there is nothing better than a relative path. Relative paths require no messing about with configuration files at all to resolve. It's just a path to another file or directory on disk.
When a tool sees
import c from "./a/b/c"
It can resolve it immediately.So what is the advantage of absolute imports really? If import lines are mainly written and maintained by tooling then shouldn't we pick the representation that is easiest for the tooling? Then we can have more and better tools and the tools will be more reliable.
And it turns out that, relative paths are easy for humans to understand too. The same configuration-free resolution algorithm also works in your head when you are reading code! At least when the language doesn't overcomplicate them too much (JS is guilty of this to a certain extent, although nowhere as bad as Python)