A simple utility to clean your mac of old stuff
Project description
cleanmymac
A simple command line tool to clean old stuff from your mac.
documentation
usage
$ cleanmymac -h
Usage: cleanmymac [OPTIONS] TARGETS
the main **run** method, responsible for creating the parser and executing
the main logic in **cleanmymac**
:param bool update: perform update of targets (if applicable) :param
dry_run: do not execute the actions, but log the result :param quiet:
quiet mode (no output), show a progressbar instead :param strict: if set
enforce strict(er) rules when validating targets :param list_targets: list
the installed targets :param stop_on_error: abort the execution on first
error :param config: the configuration path :param targets_path: extra
targets paths :param targets: the targets
Options:
-L, --log-level LVL Either CRITICAL, ERROR, WARNING, INFO or DEBUG
-u, --update update the target if applicable
-d, --dry_run describe the actions to be performed, do not
execute them
-q, --quiet run in quiet mode
--strict / --no-strict strict mode: enforce strict(er) rules when
validating targets
-l, --list list registered cleanup targets
-s, --stop_on_error stop execution when first error is detected
-c, --config TEXT specify the configuration path
-t, --targets_path PATH specify extra yaml defined targets path
--version Show the version and exit.
-?, -h, --help Show this message and exit.
a typical usage pattern is:
$ cleanmymac
or (in quiet mode)
$ cleanmymac -q
installation
install from pypi:
$ pip install cleanmymac
clone the repository locally and issue
$ python setup.py install
configuration
the cleanmymac utility accepts a configuration file by specifying the -c option. If not specified the file is assumed to be at the following location ~/.cleanmymac.yaml
the global configuration can be used (for now) to pass specific env vars to shell commands, for example assume that anaconda is not in the main path:
cleanmymac: {
targets_path: ['.']
}
anaconda: {
env: {
PATH: '~/anaconda/bin',
},
}
extensibility
one can add more cleanup targets either by installing them as python classes registered to the following entry-point: cleanmymac.target like this (in setup.py):
entry_points={
# ....
'cleanmymac.target': [
'my_target_name = my.python.package.MyTargetClass'
]
# ...
}
alternatively for shell based commands simply create yaml files with the following schema:
type: 'cmd'
spec: {
update_commands: [
'brew update',
'brew outdated | brew upgrade'
],
clean_commands: [
'brew cleanup'
]
}
or for cleaning up directories (removing all but the latest version):
type: 'dir'
spec: {
update_message: 'Get the latest MacTex version from https://www.tug.org/mactex/',
entries: [
{
dir: '/usr/local/texlive/',
pattern: '\d+'
},
]
}
note: see the cleanmymac.builtins module for more details
and point cleanmymac to the folder where the yaml files reside with the -t command line option
builtin targets
to see a list of builtin targets run:
$ cleanmymac -l
- currently the following are supported:
homebrew
java jdk
mactex
anaconda
trash
disclaimer
I created this utility in the hope that others may find it useful, as I found it annoying to always remember how and what to clean from my mac. This is work in progress, so use at your own risk!
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file cleanmymac-0.1.17.tar.gz
.
File metadata
- Download URL: cleanmymac-0.1.17.tar.gz
- Upload date:
- Size: 18.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | eebf4225bcfa944aaf3b2244a36d324bba60105d136156d42b1e3487331cf27f |
|
MD5 | 95932d56762d69ac572d85ae70ca7af4 |
|
BLAKE2b-256 | 42b356bc90881e97571e0ef46e0571afda1b280a649941697e756dc9ae4e2df1 |
File details
Details for the file cleanmymac-0.1.17-py2-none-any.whl
.
File metadata
- Download URL: cleanmymac-0.1.17-py2-none-any.whl
- Upload date:
- Size: 75.6 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 213b2168b36380d051c279320f44a28b8530c015687245ebf2f8b8b3676e3f4d |
|
MD5 | 5b338568c2248bbb85abd09295174603 |
|
BLAKE2b-256 | 7ef3bc2e26c3afd05be8d4b8e5e248ddb49ccd7d270dcbc2e94e55f9e2922105 |