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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
Description
Languages
Python
100%