python / python/importlib_metadata

API incompatibility with `importlib.metadata` (or at least the API is not type-safe?)

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Description

When 3rd-party MetaPathFinder are implemented using importlib.metadata, the return types in importlib_metadata are not respected, which causes the API to behave in an unexpected way (with unexpected errors).

This is an example similar to the one identified in https://github.com/pypa/pyproject-hooks/pull/195#issuecomment-2088695300 and https://github.com/pypa/setuptools/issues/4338:

mkdir -p /tmp/stash/private_path/_test-0.0.1.dist-info
cat <<EOF > /tmp/stash/private_path/_test-0.0.1.dist-info/METADATA
Name: _test
Version: 0.0.1
EOF

cat <<EOF > /tmp/stash/private_path/_test-0.0.1.dist-info/entry_points.txt
[_test.importlib_metadata]
hello = world
EOF

cat <<EOF > /tmp/stash/install_finder.py
import sys
from importlib.machinery import PathFinder
from importlib.metadata import DistributionFinder, MetadataPathFinder


class _ExampleFinder:
    def __init__(self, private_path):
        self.private_path = private_path


    def find_spec(self, fullname, _path, _target=None):
        if "." in fullname:
            # Rely on importlib to find nested modules based on parent's path
            return None

        # Ignore other items in _path or sys.path and use private_path instead:
        return PathFinder.find_spec(fullname, path=self.private_path)

    def find_distributions(self, context=None):
        context = DistributionFinder.Context(path=self.private_path)
        return MetadataPathFinder.find_distributions(context=context)


sys.meta_path.insert(0, _ExampleFinder(["/tmp/stash/private_path"]))
EOF

cd /tmp/stash/
python3.8 -m venv .venv
.venv/bin/python -m pip install -U importlib-metadata
.venv/bin/python
>>> import install_finder
>>> from importlib_metadata import distribution
>>> distribution("_test").entry_points.select(group="_test.importlib_metadata")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'list' object has no attribute 'select'

The expected behaviour as per API documentation would be:

>>> distribution("_test").entry_points.select(group="_test.importlib_metadata")
EntryPoints((EntryPoint(name='hello', value='world', group='_test.importlib_metadata'),))

It seems that the origin of this problem is a little "lie" in the API definition:

Instead of

importlib_metadata.Distribution.discover(...) -> Iterable[importlib_metadata.Distribution]

what actually happens is:

importlib_metadata.Distribution.discover(...) -> Iterable[importlib_metadata.Distribution | importlib.metadata.Distribution]

and that propagates throughout the whole API.

I haven't tested, but there is potential for other internal errors too, if internally importlib_metadata is relying that the objects will have type importlib_metadata.Distribution to call newer APIs.

It is probably worthy to change the return type of importlib_metadata.Distribution.discover(...) to Iterable[importlib_metadata.Distribution | importlib.metadata.Distribution] and then run the type checkers on the lowest Python supported (I suppose Python 3.8), to see if everything is OK.

It also means that consumers of importlib_metadata cannot rely on the newer APIs (unless they are sure that 3r-party packages installed in their environment are not using importlib.metadata).

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the documented example with the custom MetaPathFinder and the Python 3.8 environment described in the issue. Inspect Distribution.discover and the related discovery flow, then run type checkers against the supported baseline to verify that third-party importlib.metadata distributions and their entry_points results are handled consistently.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
api, backend-api-design
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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