shelljob 0.3.5

Run multiple subprocesses asynchronous/in parallel with streamed output/non-blocking reading. Also various tools to replace shell scripts.

shelljob

A simple way to manage several parallel subprocesses. This provides for asynchronous processes and non-blocking reading of their output.

Parallel Subprocesses

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',
])

An array will passed directly to subprocess.Popen, a string is first parsed with shlex.split.

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 ) )

Simple Subprocess calls

A simplified call function allows timeouts on subprocesses and easy acces to their output.

from shelljob import proc

# capture the output
output = proc.call( 'ls /tmp' )
# this raises a proc.Timeout exception
proc.call( 'sleep 10', timeout = 0.1 )

Find

The ‘find’ funtion is a multi-faceted approach to generating listings of files.

from shelljob import fs

files = fs.find( '/usr/local', name_regex = '.*\\.so' )
print( "\n".join(files) )

Refer to the API docs for all parameters. Just let me know if there is some additional option you need.

Issues

You can use my Launchpad project to submit issues.