Description:

reusables 0.9.6

Commonly Consumed Code Commodities

Overview
The reusables library is a cookbook of python functions and classes that
programmers may find themselves often recreating.
It includes:

Archiving and extraction for zip, tar, gz, bz2, and rar
Path (file and folders) management
Fast logging setup and tools
Namespace (dict to class modules with child recursion)
Friendly datetime formatting
Config to dict parsing
Common regular expressions and file extensions
Helpful wrappers
Bash analogues
Easy downloading
Multiprocessing helpers


Install
Reusables is on PyPI, so can be easily installed with pip or easy_install.
pip install reusables
There are no required decencies. If this doesn’t work, it’s broken, raise
a github issue.
Reusables is designed to not require any imports outside the standard library,
but can be supplemented with those found in the requirements.txt file for
additional functionality.
CI tests run on:

Python 2.6+
Python 3.3+
Pypy

Examples are provided below, and the API documentation can always be found at
readthedocs.org.
Please note this is currently in development. Any item in development
prior to a major version (1.x, 2.x) may change. Once at a major version,
no breaking changes are planned to occur within that version.



What’s included

General Helpers and File Management
import reusables

reusables.find_files_list(".", ext=reusables.exts.pictures)
# ['/home/user/background.jpg', '/home/user/private.png']

reusables.archive("reusables", name="reuse", archive_type="zip")
# 'C:\\Users\\Me\\Reusables\\reuse.zip'

reusables.extract("test/test_structure.zip", "my_archive")
# All files in the zip will be extracted into directory "my_archive"

reusables.config_dict('my_config.cfg')
# {'Section 1': {'key 1': 'value 1', 'key2': 'Value2'}, 'Section 2': {}}

reusables.count_files(".")
# 405

reusables.file_hash("test_structure.zip", hash_type="sha256")
# 'bc11af55928ab89771b9a141fa526a5b8a3dbc7d6870fece9b91af5d345a75ea'

reusables.safe_path('/home/user/eViL User\0\\/newdir$^&*/new^%file.txt')
# '/home/user/eViL User__/newdir____/new__file.txt'

reusables.run("echo 'hello there!'", shell=True)
# CompletedProcess(args="echo 'hello there!'", returncode=0, stdout='hello there!\n')

reusables.cut("abcdefghi")
# ['ab', 'cd', 'ef', 'gh', 'i']
One of the most reusables pieces of code is the find_files. It is always
appearing on stackoverflow and forums of how to implement os.walk or glob;
here’s both.
reusables.find_files_list(".", name="*reuse*", depth=2)
# ['.\\test\\test_reuse.py', '.\\test\\test_reuse_datetime.py',
# '.\\test\\test_reuse_logging.py', '.\\test\\test_reuse_namespace.py']

# match_case works for both ext and name
# depth of 1 means this working directory only, no further

reusables.find_files_list(ext=".PY", depth=1, match_case=True)
# []

reusables.find_files_list(ext=".py", depth=1, match_case=True)
# ['.\\setup.py']

reusables.find_files_list(name="setup", ext=".py", match_case=True)
# ['.\\setup.py']

reusables.find_files_list(name="Setup", ext=".py", match_case=True)
# []


Namespace
Check out Box, a much improved version as its own library.
Dictionary management class, similar to Bunch, but designed so
that sub-dictionaries are recursively made into namespaces.
my_breakfast = {"spam": {"eggs": {"sausage": {"bacon": "yummy"}}}}
namespace_breakfast = reusables.Namespace(**my_breakfast)

print(namespace_breakfast.spam.eggs.sausage.bacon)
# yummy

print(namespace_breakfast.spam.eggs['sausage'].bacon)
# yummy

str(namespace_breakfast['spam'].eggs)
# "{'sausage': {'bacon': 'yummy'}}"

namespace_breakfast.to_dict()
#{'spam': {'eggs': {'sausage': {'bacon': 'yummy'}}}}

dict(namespace_breakfast)
# {'spam': <Namespace: {'eggs': {'sausage': {'bacon': '...>}
# This is NOT the same as .to_dict() as it is not recursive


Logging
logger = reusables.setup_logger(__name__)
# By default it adds a stream logger to sys.stderr

logger.info("Test")
# 2016-04-25 19:32:45,542 __main__ INFO Test
There are multiple log formatters provided, as well as additional helper functions.
All helper functions will accept either the logger object or the name of the logger.
reusables.remove_stream_handlers(__name__)
# remove_file_handlers() and remove_all_handlers() also available

reusables.add_stream_handler(__name__, log_format=reusables.log_formats.detailed)
r.add_rotating_file_handler(__name__, "my.log", level=logging.INFO)

logger.info("Example log entry")
# 2016-12-14 20:56:55,446 : 315147 MainThread : reusables.log INFO Example log entry

open("my.log").read()
# 2016-12-14 20:56:55,446 - __builtin__ INFO Example log entry
Provided log formats
Feel free to provide your own formats, aided by the docs. However this includes
some commonly used ones you may find useful. they are all stored in the Namespace
“reusables.log_formats” (feel free to use it as a dict as stated above).

Because ReStructuredText tables don’t preserve whitespace (even with literals),
which is important to show distinction in these formatters, here’s it in a code block instead.


reusables.log_formats.keys()
# ['common', 'level_first', 'threaded', 'easy_read', 'easy_thread', 'detailed']

logger = reusables.setup_logger(__name__, log_format=reusables.log_formats.threaded)
reusables.add_timed_rotating_file_handler(logger, "timed.log", level=logging.ERROR, log_format=reusables.log_formats.detailed)
+--------------+--------------------------------------------------------------------------------------+
| Formatter | Example Output |
+==============+======================================================================================+
| easy_read | 2016-04-26 21:17:51,225 - example_logger INFO example log message |
| | 2016-04-26 21:17:59,074 - example_logger ERROR Something broke |
+--------------+--------------------------------------------------------------------------------------+
| detailed | 2016-04-26 21:17:51,225 : 7020 MainThread : example_logger INFO example log message |
| | 2016-04-26 21:17:59,074 : 14868 MainThread : example_logger ERROR Something broke |
+--------------+--------------------------------------------------------------------------------------+
| level_first | INFO - example_logger - 2016-04-26 21:17:51,225 - example log message |
| | ERROR - example_logger - 2016-04-26 21:17:59,074 - Something broke |
+--------------+--------------------------------------------------------------------------------------+
| threaded | 7020 MainThread : example log message |
| | 14868 MainThread : Something broke |
+--------------+--------------------------------------------------------------------------------------+
| easy_thread | 7020 MainThread : example_logger INFO example log message |
| | 14868 MainThread : example_logger ERROR Something broke |
+--------------+--------------------------------------------------------------------------------------+
| common | 2016-04-26 21:17:51,225 - example_logger - INFO - example log message |
| | 2016-04-26 21:17:59,074 - example_logger - ERROR - Something broke |
+--------------+--------------------------------------------------------------------------------------+


Extension Groups
It’s common to be looking for a specific type of file.
if file_path.endswith(reusables.exts.pictures):
print("{} is a picture file".format(file_path))
That’s right, str.endswith (as well as str.startswith) accept a tuple to search.


File Type
Extensions



pictures
.jpeg .jpg .png .gif .bmp .tif .tiff .ico .mng .tga .psd .xcf .svg .icns

video
.mkv .avi .mp4 .mov .flv .mpeg .mpg .3gp .m4v .ogv .asf .m1v .m2v .mpe .ogv .wmv .rm .qt .3g2 .asf .vob

music
.mp3 .ogg .wav .flac .aif .aiff .au .m4a .wma .mp2 .m4a .m4p .aac .ra .mid .midi .mus .psf

documents
.doc .docx .pdf .xls .xlsx .ppt .pptx .csv .epub .gdoc .odt .rtf .txt .info .xps .gslides .gsheet .pages .msg .tex .wpd .wps .csv

archives
.zip .rar .7z .tar.gz .tgz .gz .bzip .bzip2 .bz2 .xz .lzma .bin .tar

cd_images
.iso .nrg .img .mds .mdf .cue .daa

scripts
.py .sh .bat

binaries
.msi .exe

markup
.html .htm .xml .yaml .json .raml .xhtml .kml





Wrappers
unique
There are tons of wrappers for caching and saving inputs and outputs, this is a
different take that requires the function returns a result not yet provided.
@reusables.unique(max_retries=100, error_text="All UIDs taken!")
def gen_small_uid():
return random.randint(0, 100)
time_it
Easily time the execution time of a function, using the high precision
perf_conuter on Python 3.3+, otherwise clock.
@reusables.time_it()
def test_it():
return time.sleep(float(f"0.{random.randint(1, 9)}"))



Command line helpers
Use the Python interpreter as much as a shell? Here’s some handy helpers to
fill the void. (Please don’t do ‘import *’ in production code, this is used
as an easy to use example using the interpreter interactively.)
> These are not imported by default with “import reusables”, as they are designed to be imported only in an interactive shell
Some commands from other areas are also included where they are highly applicable in both
instances, such as ‘touch’ and ‘download’.
from reusables.cli import *

cd("~") # Automatic user expansion unlike os.chdir()

pwd()
# '/home/user'

pushd("Downloads")
# ['Downloads', '/home/user']

pwd()
# '/home/user/Downloads'

popd()
# ['/home/user']

ls("-lah") # Uses 'ls' on linux and 'dir' on windows
# total 1.5M
# drwxr-xr-x 49 james james 4.0K Nov 1 20:09 .
# drwxr-xr-x 3 root root 4.0K Aug 21 2015 ..
# -rw-rw-r-- 1 james james 22K Aug 22 13:21 picture.jpg
# -rw------- 1 james james 17K Nov 1 20:08 .bash_history

cmd("ifconfig") # Shells, decodes and prints 'reusables.run' output
# eth0 Link encap:Ethernet HWaddr de:ad:be:ef:00:00
# inet addr:10.0.2.5 Bcast:10.0.2.255 Mask:255.255.255.0
# ...

download('https://www.python.org/ftp/python/README.html', save_to_file=False)
# 2016-11-02 10:37:23,644 - reusables.web INFO Downloading https://www.python.org/ftp/python/README.html (2.3 KB) to memory
# b'<PRE>\nPython Distribution...

DateTime
Easy formatting for datetime objects. Also parsing for ISO formatted time.
reusables.datetime_format("Wake up {son}, it's {hours}:{minutes} {periods}!"
"I don't care if it's a {day-fullname}, {command}!",
son="John",
command="Get out of bed!")
# "Wake up John, it's 09:51 AM! I don't care if it's a Saturday, Get out of bed!!"

reusables.datetime_from_iso('2019-03-10T12:56:55.031863')
# datetime.datetime(2019, 3, 10, 12, 56, 55, 31863)
Examples based on Mon Mar 28 13:27:11 2016


Format
Mapping
Example



{12-hour}
%I
01

{24-hour}
%H
13

{seconds}
%S
14

{minutes}
%M
20

{microseconds}
%f
320944

{time-zone}
%Z


{years}
%y
16

{years-full}
%Y
2016

{months}
%m
03

{months-name}
%b
Mar

{months-full}
%B
March

{days}
%d
28

{week-days}
%w
1

{year-days}
%j
088

{days-name}
%a
Mon

{days-full}
%A
Monday

{mon-weeks}
%W
13

{date}
%x
03/28/16

{time}
%X
13:27:11

{date-time}
%C
Mon Mar 28 13:27:11 2016

{utc-offset}
%Z


{periods}
%p
PM

{iso-format}
%Y-%m-%dT%H:%M:%S
2016-03-28T13:27:11






FAQ
How can I help? / Why doesn’t it do what I want it too?
Please feel free to make suggestions in the ‘issues’ section of github, or to be super duper helpful go ahead and submit a PR for the
functionality you want to see! Only requirements are that it’s well thought out and is more in place here rather than it’s own project
(to be merged will need documentation and basic unittests as well, but not a requirement for opening the PR).
Please don’t hesitate if you’re new to python! Even the smallest PR contributions will earn a mention in a brand new Contributors section.
Unrar not installed?
A common error to see, especially on Windows based systems, is: “rarfile.RarCannotExec: Unrar not installed? (rarfile.UNRAR_TOOL=’unrar’)”
This is probably because unrar is not downloaded or linked properly. Download UnRAR
from http://www.rarlab.com/rar_add.htm and follow these instructions before
trying again: http://rarfile.readthedocs.org/en/latest/faq.html?highlight=windows#how-can-i-get-it-work-on-windows


License
The MIT License (MIT)
Copyright (c) 2014-2020 Chris Griffith
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the “Software”), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Additional Info
This does not claim to provide the most accurate, fastest or most ‘pythonic’
way to implement these useful snippets, this is simply designed for easy
reference. Any contributions that would help add functionality or
improve existing code is warmly welcomed!

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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