Run multiple subprocesses asynchronous/in parallel with streamed output/non-blocking reading
Project description
A simple way to manage several parallel subprocesses. This provides for asynchronous processes and non-blocking reading of their output.
Using the Job system is the quickest approach to just run processes and log their output (by default in files named ‘/tmp/job_ID.log’)
from shelljob import job jm = job.FileMonitor() jm.run([ [ 'ls', '-alR', '/usr/local' ], [ 'my_prog' ], [ 'build', 'output', 'input' ], ])
Note the command items are lists passed directly to subprocess.Popen.
The lower level Group class provides a simple container for more manual job management.
from shelljob import proc g = proc.Group() p1 = g.run( [ 'ls', '-al', '/usr/local' ] ) p2 = g.run( [ 'program', 'arg1', 'arg2' ] ) while g.is_pending(): lines = g.readlines() for proc, line in lines: sys.stdout.write( "{}:{}".format( proc.pid, line ) )
You can use my Launchpad project to submit issues.
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