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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
shelljob-0.3.1.tar.gz
(7.1 kB
view details)
File details
Details for the file shelljob-0.3.1.tar.gz.
File metadata
- Download URL: shelljob-0.3.1.tar.gz
- Upload date:
- Size: 7.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dccb7f789464e940ae1b47d2e589efa6a5ded895284a81af12adcd6305a85688
|
|
| MD5 |
98c5925427bca1ec19f1f805abc09732
|
|
| BLAKE2b-256 |
2c75c70b3467019760caa1f8510a38818a6655bd66caa0057b3c553c99281863
|