Skip to main content

Make shell script running in a Pythonic way.

Project description

About

Running shell in a Pythonic way.

Installation

$ pip install simplerun

Usage

Basic

>> from simplerun import run
>> r = run('ls -l')
>> r
<[0] `ls -l`>

0 refers to the exit code here.

>> print r.std_out
total 8
-rw-r--r-- 1 yj staff 664 11 19 21:46 README.md
-rw-r--r-- 1 yj staff 829 11 18 22:39 setup.py
drwxr-xr-x 6 yj staff 204 11 19 21:46 simplerun

Iterable as input

>> with open('setup.py') as data:
>>     r = run('grep def', data)
>> print(r.std_out)

Result as input

>> r_data = run('ps aux')
>> r = run('grep Chrome', r_data)

Debugger

>> r = run('ps aux | stranger | grep keyword')
>> r
<[-1] `stranger`>
>> r.exc
OSError(2, 'No such file or directory')

Found the stanger is the evil

>> r.history
[<[0] `ps aux`>]

review history, and keep going with good input:

>> r.rest
[['grep', 'keyword']]
>>
>> r2 = run(r.rest, '''Good line that contains the keyword
                       but not this line, sorry.''')
>> print(r2.std_out)
'Good line that contains the keyword\n'

Concurrent & Parallel

>> batches = ['ps', 'top -n 10', 'uptime']
>> r = prun(batches)  # paralell running
>> r2 = concurrent_run(batches)  # or, running in a concurrent mode

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
simplerun-0.3.2.tar.gz (3.2 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page