Check dependencies of a python project against pyproject.toml requirements
Project description
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.
It supports PEP-621, Poetry (v1.2+), UV (0.2+) and Hatch style dependencies.
This is a pure-Python zero-dependency (Up until Python 3.11 one, toml) package.
Usage
usage: check-dependencies [-h] [--include-dev] [--verbose] [--all] [--missing MISSING] [--extra EXTRA] [--provides PACKAGE=IMPORT] [--include INCLUDE] file_name [file_name ...]
Find undeclared and unused (or all) imports in Python files
positional arguments:
file_name Python Source file to analyse
options:
-h, --help show this help message and exit
--include-dev Include dev dependencies
--verbose Show every import of a package
--all Show all imports (including correct ones)
--missing MISSING Comma separated list of requirements known to be missing.
Assume they are part of the requirements.
--extra EXTRA Comma separated list of requirements known to not be imported.
Assume they are not part of the requirements.
This can be plugins or similar that affect the package but are not imported explicitly.
--provides PACKAGE=IMPORT
Map a package name to its import name for packages whose import name differs
from the package name. Can be specified multiple times.
E.g. --provides Pillow=PIL --provides PyJWT=jwt. The package name is
normalized (case-insensitive, hyphens and underscores are equivalent),
so Pillow=PIL, pillow=PIL and PIL-ow=PIL are all the same.
--include, -I INCLUDE
Additional config files to include. Can be specified multiple times.
E.g. --include check-dependencies.toml.
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?- Dynamic import that could not be resolved.!!- Could not parse the file (e.g. syntax error)- 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?UNKNOWN- Dynamic import that could not be resolved.!!FILE_ERROR- Could not parse the file (e.g. syntax error)OK- Correct import (only shown with--all)
Additionally, each import is prefixed with the file name and line number where it is imported.
Notes
This can be used as a stand-alone application or as part of a CI/CD pipeline.
In the former case, it can be installed via uv tool or pipx.
Using uv:
uv tool install check-dependencies
check-dependencies
Using pipx:
pipx install check-dependencies
check-dependencies
Alternatively, to run without installing:
uvx check-dependencies
pipx run check-dependencies
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 the following entries:
-
[tool.check-dependencies.known-extra]to add extra packages to the list of dependencies. -
[tool.check-dependencies.known-missing]does the opposite, it will ignore existing dependencies even if they are not imported. This is useful for packages, that provide functionality via plugins (e.g. sqlalchemy plugins) and are not imported directly in the codebase. -
[tool.check-dependencies.provides]to map package names to import names for packages whose import name differs from the package name. E.g. Pillow is imported as PIL, but the package name is Pillow. The value can be either a single module or a list of modules. -
[tool.check-dependencies.includes]to include additional config files. This is useful for monorepos or similar setups where multiple packages share a common configuration file.
[tool.check-dependencies]
known-missing = [
"undeclared_package",
"another_package"
]
known-extra = [
"package_as_extra_for_another_package",
"yet_another_package"
]
[tool.check-dependencies.provides]
# Maps package name (as declared in dependencies) -> import/module name
Pillow = "PIL"
PyJWT = "jwt"
pyshp = "shapefile"
foxtrox = ["fox", "trox"] # This package provides both `import fox` and `import trox`, but the package name is `foxtrox`
[tool.check-dependencies]
includes = [
"check-dependencies.toml",
"../../common-provides.toml"
]
Exit code
- 0: No missing or superfluous dependencies found
- 2: Missing (used, but not declared in pyproject.toml) dependencies found
- 4: Extra (declaredfcheck_ in pyproject.toml, but unused) dependencies found
- 6: Both missing and superfluous dependencies found
- 8: Could not find associated pyproject.toml file
- 16: Could not parse source file(s)
- 1: Another error occurred
Development
See CONTRIBUTING.md for development setup and guidelines.
Project details
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