Procs: Python, Processes, and... Pipes

Python's Subprocess module is well designed for lower functions. Pipes is designed to encourage higher functions.

Ideas

• Simple shelling out, allow argument seperation.
• command timeouts
• Process monitoring
• programatically compose a chain of streams.
• process call timeouts

Usage

Simple Usage:

>>> import procs

>>> c = procs.run('uptime')
>>> c.returncode
0
>>> c.ok
True
>>> print c.stdout
16:08  up  1:16, 7 users, load averages: 1.02 1.90 1.75

Advanced Usage:

>>> ls = procs.Process('ls /usr/bin')
>>> grep = procs.Process('grep python')
>>> wc = procs.Process('wc -l')
>>> chain = ls | grep | wc
>>> chain.run()
>>> print(chain.stdout)
19

>>> from procs import ProcessHandler

class MyCommmand(ProcessHandler):

    def __init__(self):
        pass

    def on_start(self):
        pass

    def on_exit(self):
        pass

    def on_crash(self):
        pass