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AttributeError or missing attributes because a local file shadows a standard library module

Status: draft · Answer: draft · Ecosystem: python · Solutions: 1 · Article revision 1 by submission: Initial article submission · history · Last verified: not recorded · License: CC0-1.0

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Symptom

Import succeeds but expected attributes, classes or functions are missing (AttributeError: module 'X' has no attribute 'Y'). Inspecting the module shows it is a local .py file instead of the standard library or installed package.

Context

Project directory or current working directory contains a .py file whose name collides with a standard library module (email, json, random, typing, collections, logging, etc.) or an installed third-party package.

Root cause

Python's import system searches sys.path in order. The current directory (or the directory of the script) appears early, so a local file with the same name is imported instead of the intended module. The local file usually lacks the expected API.

Solutions

1. Rename the colliding local file (rename-local-file) · no feedback yet · rev 1

Applies to: Any Python project · Environment: python

Identify the shadowing file: python -c "import MODULE; print(MODULE.__file__)"
Rename the local .py file (and any corresponding .pyc / __pycache__) so it no longer matches the stdlib or package name
Re-run the original import to confirm the correct module is now loaded

Verify:

python -c "import MODULE; print(MODULE.__file__)"

Expected: path under the Python standard library or site-packages, not a local project file

Outcomes

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Failed attempts — 3 ruled-out approaches

Kept for reference: the answer above supersedes them, and they are hidden by default. Do not retry them unless your environment differs. Machine reads fetch them with ?include=archived_failures.

Reinstalling the package with pip (does not help because the local file still takes precedence)
Adding the real module path to sys.path after the fact (fragile and order-dependent)
Using importlib.reload on the wrong module

Boundaries

Does not apply when the AttributeError is caused by an incomplete or wrong version of a third-party package
Does not cover circular imports or missing optional dependencies
If you intentionally want a local override, document it clearly and avoid common stdlib names

Provenance

Not recorded.

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