autoflake removes unused imports and unused variables from Python code. It makes use of pyflakes to do this.
By default, autoflake only removes unused imports for modules that are part of the standard library. (Other modules may have side effects that make them unsafe to remove automatically.) Removal of unused variables is also disabled by default.
autoflake also removes useless pass
statements by default.
Running autoflake on the below example
$ autoflake --in-place --remove-unused-variables example.py
import math
import re
import os
import random
import multiprocessing
import grp, pwd, platform
import subprocess, sys
def foo():
from abc import ABCMeta, WeakSet
try:
import multiprocessing
print(multiprocessing.cpu_count())
except ImportError as exception:
print(sys.version)
return math.pi
results in
import math
import sys
def foo():
try:
import multiprocessing
print(multiprocessing.cpu_count())
except ImportError:
print(sys.version)
return math.pi
$ pip install --upgrade autoflake
To allow autoflake to remove additional unused imports (other than
than those from the standard library), use the --imports
option. It
accepts a comma-separated list of names:
$ autoflake --imports=django,requests,urllib3 <filename>
To remove all unused imports (whether or not they are from the standard
library), use the --remove-all-unused-imports
option.
To remove unused variables, use the --remove-unused-variables
option.
Below is the full listing of options:
usage: autoflake [-h] [-c] [-r] [-j n] [--exclude globs] [--imports IMPORTS] [--expand-star-imports] [--remove-all-unused-imports] [--ignore-init-module-imports] [--remove-duplicate-keys]
[--remove-unused-variables] [--version] [--quiet] [-v] [--stdin-display-name STDIN_DISPLAY_NAME] [-i | -s]
files [files ...]
Removes unused imports and unused variables as reported by pyflakes.
positional arguments:
files files to format
options:
-h, --help show this help message and exit
-c, --check return error code if changes are needed
-r, --recursive drill down directories recursively
-j n, --jobs n number of parallel jobs; match CPU count if value is 0 (default: 0)
--exclude globs exclude file/directory names that match these comma-separated globs
--imports IMPORTS by default, only unused standard library imports are removed; specify a comma-separated list of additional modules/packages
--expand-star-imports
expand wildcard star imports with undefined names; this only triggers if there is only one star import in the file; this is skipped if there are any uses of `__all__` or `del` in the file
--remove-all-unused-imports
remove all unused imports (not just those from the standard library)
--ignore-init-module-imports
exclude __init__.py when removing unused imports
--ignore-pass-statements
keep all `pass` statements
--ignore-pass-after-docstring
keep `pass` statements after a new line ending on """
--remove-duplicate-keys
remove all duplicate keys in objects
--remove-unused-variables
remove unused variables
--remove-rhs-for-unused-variables
remove RHS of statements when removing unused variables (unsafe)
--version show program's version number and exit
--quiet Suppress output if there are no issues
-v, --verbose print more verbose logs (you can repeat `-v` to make it more verbose)
--stdin-display-name STDIN_DISPLAY_NAME
the name used when processing input from stdin
-i, --in-place make changes to files instead of printing diffs
-s, --stdout print changed text to stdout. defaults to true when formatting stdin, or to false otherwise
Configure default arguments using a pyproject.toml
file:
[tool.autoflake]
check = true
imports = ["django", "requests", "urllib3"]
Or a setup.cfg
file:
[autoflake]
check=true
imports=django,requests,urllib3
The name of the configuration parameters match the flags (e.g. use the
parameter expand-star-imports
for the flag --expand-star-imports
).
To run the unit tests::
$ ./test_autoflake.py
There is also a fuzz test, which runs against any collection of given Python files. It tests autoflake against the files and checks how well it does by running pyflakes on the file before and after. The test fails if the pyflakes results change for the worse. (This is done in memory. The actual files are left untouched.)::
$ ./test_fuzz.py --verbose
It might be the case that you have some imports for their side effects, even if you are not using them directly in that file.
That is common, for example, in Flask based applications. In where you import
Python modules (files) that imported a main app
, to have them included in
the routes.
For example:
from .endpoints import role, token, user, utils
As those imports are not being used directly, if you are using the option
--remove-all-unused-imports
, they would be removed.
To prevent that, without having to exclude the entire file, you can add a
# noqa
comment at the end of the line, like:
from .endpoints import role, token, user, utils # noqa
That line will instruct autoflake
to let that specific line as is.
Using pre-commit hooks
Add the following to your .pre-commit-config.yaml
- repo: https://github.com/PyCQA/autoflake
rev: v1.6.1
hooks:
- id: autoflake