check-dependencies 0.12.5

Check dependencies of a python project against pyproject.toml requirements

Check Dependencies

Check all imports from python files and compares them against the declared imports of a pyproject dependency list of expected imports.

It can be used as a stand-alone or as part of a CI/CD to check if an application has all the necessary, but no superfluous imports.

This is a pure-Python zero-dependency (Up until Python 3.11 one, toml) package.

Usage

usage: check-dependencies [-h] [--include-extra] [--verbose] [--all] [--missing MISSING] [--extra EXTRA] file_name [file_name ...]

Find undeclared and unused (or all) imports in Python files

positional arguments:
  file_name          Python Source file to analyse

optional arguments:
  -h, --help         show this help message and exit
  --include-extra    Include dev dependencies
  --verbose          Show every import of a package
  --all              Show all imports (including correct ones)
  --missing MISSING  Comma seperated list of requirements known to be missing. 
                     Assume they are part of the requirements.
  --extra EXTRA      Comma seperated list of requirements known to not be imported.
                     Assume they are not part of the requirements.

Output

The output is a list of imports with a prefix indicating the status of the import.

• ! - Undeclared import
• + - Extra import, declared in pyproject.toml, but not used in the file
• - Correct import (only shown with --all)

In case of --verbose, the output is a list of all imports in the file, prefixed with:

• !NA - Undeclared import
• +EXTRA - Extra import, declared in pyproject.toml, but not used in the file
• OK - Correct import (only shown with --all)

Additionally, each import is prefixed with the file name and line number where it is imported.

Examples

Basic usage

check-dependencies  project/src/
  pandas
! matplotlib
  numpy
+ requests

Output all dependencies

Output all dependencies, including the correct ones.

check-dependencies --all project/src/
  pandas
! matplotlib
  numpy
+ requests

Verbose output

Output each erroneous import and extra dependency with cause, file name and line number.

check-dependencies --verbose project/src/
!NA matplotlib project/src/main.py:4
+EXTRA project/pyproject.toml requests

Combine verbose and all

Output all imports, including the correct ones with file name and line number.

check-dependencies --verbose --all project/src/
 OK project/src/data.py:5 pandas
 OK project/src/main.py:3 pandas
 OK project/src/plotting.py:4 pandas
!NA project/src/plotting.py:5 matplotlib
 OK project/src/plotting.py:6 numpy

### Dependencies in config file not used in application:
# Config file: project/pyproject.toml
+EXTRA requests

Configuration

The configuration is read from pyproject.toml file. The configuration file supports two entries, [tool.check_dependencies.extra-requirements] that can be used to add extra dependencies to the list of requirements to be treated as existing requirements. The second entry, [tool.check_dependencies.ignore-requirements] does the opposite, it will ignore extra requirements that are not used in the application.

[tool.check_dependencies]
known-missing = [
  "undeclared_package",
  "another_package"
]
known-extra = [
  "package_as_extra_for_another_package",
  "yet_another_package"
]

Exit code

• 0: No missing or superfluous dependencies found
• 2: Missing (used, but not declared in pyproject.toml) dependencies found
• 4: Extra (declared in pyproject.toml, but unused) dependencies found
• 6: Both missing and superfluous dependencies found
• 8: Could not find associated pyproject.toml file
• 1: Another error occurred

Development

Feature requests and merge requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate. Also with this project, I want to keep the dependencies to a minimum, so please keep that in mind when proposing a change. Currently, the only dependencies is toml to support Python 3.10 and below.

Coding Standards

Type	Package	Comment
Logging	logger	Minimize additional packages
Packaging	uv
Tests	pytest
Typing	mypy	Type all methods
Linting	ruff	Also used for formatting