Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

--fix flag removes imports in __init__ files if there is a lack of __all__ #484

Closed
Czaki opened this issue Oct 27, 2022 · 20 comments · Fixed by #489
Closed

--fix flag removes imports in __init__ files if there is a lack of __all__ #484

Czaki opened this issue Oct 27, 2022 · 20 comments · Fixed by #489

Comments

@Czaki
Copy link
Contributor

Czaki commented Oct 27, 2022

If __init__ file does not contain __all__ variable and --fix option is specified then ruff removes imports instead of create __all__ variable with include all variables imported from submodules.
Or report it as an error without modifications to files. And highlight lack of __all__ variable.

@Czaki Czaki changed the title --fix flag removes imports in __init__ files if there is a lack of __all__ --fix flag removes imports in __init__ files if there is a lack of __all__ Oct 27, 2022
@charliermarsh
Copy link
Member

Will take a look at this today!

@charliermarsh
Copy link
Member

Some relevant discussion from Flake8: PyCQA/pyflakes#162, PyCQA/pyflakes#471

@charliermarsh
Copy link
Member

A couple options:

  1. Suppress these errors entirely in __init__.py (always ignore unused imports for those files).
  2. Suppress these errors when __init__.py only contains imports (potentially confusing).
  3. Keep these errors under F401, but don't autofix them.
  4. Keep these errors under F401, but don't autofix them and add a custom message regarding __all__.
  5. Move these errors to a new error code, and don't autofix them.

My preferences are either (1) or (4).

@Czaki
Copy link
Contributor Author

Czaki commented Oct 27, 2022

I like 4.

@charliermarsh
Copy link
Member

(Going out in v0.0.86, which is building now.)

@fsouza
Copy link
Contributor

fsouza commented Oct 28, 2022

@charliermarsh any thoughts on instructing users to configure per-file-ignores instead? Or adding a dedicated flag/config option (similar to autoflake's --ignore-init-module-imports)?

I feel like that if an import error is reported is should be fixable?

@charliermarsh
Copy link
Member

I’m open to making it a configuration setting!

@smackesey
Copy link

smackesey commented Dec 4, 2022

+1 for making it an option to autofix these. Our project (Dagster) has two types of __init__.py files (1) pure "export" files (i.e. they just import from submodules); (2) those that define a bunch of functions themselves (and so are more like standard modules). The rule as currently implemented prevents removing all of the unused imports from type (2), which can be frustrating.

FWIW, one can get around the conundrum of having intended-to-be-reexported symbols in __init__.py files appear to be unused (and flagged with F401) by using redundant aliases. That's what we do for top-level dagster:

from dagster._core.definitions.decorators.sensor_decorator import (
    asset_sensor as asset_sensor,
    sensor as sensor,
    multi_asset_sensor as multi_asset_sensor,
)
from dagster._core.definitions.decorators.source_asset_decorator import (
    observable_source_asset as observable_source_asset,
)
from dagster._core.definitions.dependency import (
    DependencyDefinition as DependencyDefinition,
    MultiDependencyDefinition as MultiDependencyDefinition,
    NodeInvocation as NodeInvocation,
)

We had to add this because pyright/pylance complains the symbols are private otherwise (since they are imported rather than defined in the module).

So since other popular tools require you to do this (or use __all__) to mark imported symbols as public, and this is also a developing Python standard, it seems reasonable to me to by default not treat __init__.py imports as special, and have users opt into the "don't fix" special-casing.

@charliermarsh
Copy link
Member

Yeah, that makes sense. I'll fix this today.

@charliermarsh
Copy link
Member

This is going out in v0.0.157 (building now), feedback welcome!

@mara004
Copy link

mara004 commented May 14, 2023

Can ignore-init-module-imports only be set in a configuration file, or is it also possible to pass this on the command line? (I'm new to ruff.)

@dhruvmanila
Copy link
Member

Currently, it's not possible to pass arbitrary config keys as flag on the command-line but that's likely to change in the future (#4297 (comment)).

@ethanmsl
Copy link

Was this fix/improvement rolled back?

using ruff 0.0.292 and it has the same behavior as described originally : it complains about unused imports in init.py [F401].

And the --fix option merely deletes them.

error reporting

auto-fix changes

@charliermarsh
Copy link
Member

Do you have the relevant setting enabled? https://docs.astral.sh/ruff/settings/#ignore-init-module-imports

@cthorrez
Copy link

I do have the ignore-init-module-imports setting enabled in my pyproject.toml but it doesn't really "ignore" them. It doesn't fix them but it still fails the ruff run which is an issue if ruff is being used in a precommit hook.

with ignore-init-module-imports = false, it just removes the imports breaking my code

with ignore-init-module-imports = true I get this type of error blocking my commit

ruff.....................................................................Failed
- hook id: ruff
- exit code: 1

riix/utils/__init__.py:1:25: F401 `.data_utils.RatingDataset` imported but unused; consider adding to `__all__` or using a redundant alias
riix/utils/__init__.py:1:40: F401 `.data_utils.generate_matchup_data` imported but unused; consider adding to `__all__` or using a redundant alias
Found 2 errors.```

@joostsijm
Copy link

@cthorrez workaround for pre-commit hook picking up the error message is to ignore F401 error per file type like in the following pyproject.toml:

[tool.ruff.per-file-ignores]
"__init__.py" = ["F401"]

@vergenzt
Copy link

vergenzt commented Feb 9, 2024

FYI all, I ended up writing an ast-grep rule to rewrite such imports in my codebase to use the redundant import alias. (We're just getting started with ruff.) Figured I'd share it here:

id: _
language: py
files:
- ./src/**/__init__.py

rule:
  all:

  - pattern: $NAME

  - inside:
      kind: import_from_statement
      stopBy: end

  - kind: dotted_name

  # has to NOT be the first dotted_name in the import statement (that's the source module)
  - follows:
      any:
      - has: { kind: dotted_name }
      - kind: dotted_name
      stopBy:
        kind: import_from_statement

transform:
  REDUNDANT_ALIAS:
    replace:
      source: $NAME
      replace: (.*)
      by: $1 as $1

fix: $REDUNDANT_ALIAS

@grahamannett
Copy link

grahamannett commented Mar 19, 2024

@cthorrez workaround for pre-commit hook picking up the error message is to ignore F401 error per file type like in the following pyproject.toml:

[tool.ruff.per-file-ignores]
"__init__.py" = ["F401"]

this is very helpful and what I ended up using but seems like it is then required for any code base that uses ruff with F401 (or pyflakes rules) and __init__.py as a way to import classes/functions/etc from elsewhere.

Is this not the suggested project structure and there is a more modern/appropriate way to do that? I don't really think __all__ makes sense in this case

@zanieb
Copy link
Member

zanieb commented Mar 20, 2024

Note we changed this behavior again recently in #10365, you can see more discussion there.

init.py as a way to import classes/functions/etc from elsewhere

What do you mean? I would say that __init__ is very much not intended for external imports unless you are intentionally exposing them as a part of your public interface in which case __all__ or a redundant alias import foo as foo are the appropriate ways to do so.

@linpan
Copy link

linpan commented Jun 26, 2024

fix it ?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging a pull request may close this issue.