How to run multiple Python scripts from command line? - python

I have ten python scripts in the same directory. How to run all of these from command line, that it will work in background?
I use SSH terminal to connect to server CentOS and run Python script as:
python index.py
But when I close client terminal SSH, proccess is died

You can use the & command to make things run in the background, and nohup so it continues on logout, such as
nohup python index.py &
If you want to run multiple things this way, it's probably easiest to just make a script to start them all (with a shell of your choice):
#!/bin/bash
nohup python index1.py &
nohup python index2.py &
...

As long as you don't need to interact with the scripts once they are started (and don't need any stdout printing) this could be pretty easily automated with another python script using the subprocess module:
for script in listofscripts:
#use subprocess.run() for python 3.x (this blocks until each script terminates)
subprocess.call(["python", script], *args) #use popen if you want non - blocking
*args is a link (it's coloring got overwritten by code highliting
also of note: stdout / stderr printing is possible, just more work..

Related

continue program even after logout [duplicate]

I have Python script bgservice.py and I want it to run all the time, because it is part of the web service I build. How can I make it run continuously even after I logout SSH?
Run nohup python bgservice.py & to get the script to ignore the hangup signal and keep running. Output will be put in nohup.out.
Ideally, you'd run your script with something like supervise so that it can be restarted if (when) it dies.
If you've already started the process, and don't want to kill it and restart under nohup, you can send it to the background, then disown it.
Ctrl+Z (suspend the process)
bg (restart the process in the background
disown %1 (assuming this is job #1, use jobs to determine)
Running a Python Script in the Background
First, you need to add a shebang line in the Python script which looks like the following:
#!/usr/bin/env python3
This path is necessary if you have multiple versions of Python installed and /usr/bin/env will ensure that the first Python interpreter in your $$PATH environment variable is taken. You can also hardcode the path of your Python interpreter (e.g. #!/usr/bin/python3), but this is not flexible and not portable on other machines. Next, you’ll need to set the permissions of the file to allow execution:
chmod +x test.py
Now you can run the script with nohup which ignores the hangup signal. This means that you can close the terminal without stopping the execution. Also, don’t forget to add & so the script runs in the background:
nohup /path/to/test.py &
If you did not add a shebang to the file you can instead run the script with this command:
nohup python /path/to/test.py &
The output will be saved in the nohup.out file, unless you specify the output file like here:
nohup /path/to/test.py > output.log &
nohup python /path/to/test.py > output.log &
If you have redirected the output of the command somewhere else - including /dev/null - that's where it goes instead.
# doesn't create nohup.out
nohup command >/dev/null 2>&1
If you're using nohup, that probably means you want to run the command in the background by putting another & on the end of the whole thing:
# runs in background, still doesn't create nohup.out
nohup command >/dev/null 2>&1 &
You can find the process and its process ID with this command:
ps ax | grep test.py
# or
# list of running processes Python
ps -fA | grep python
ps stands for process status
If you want to stop the execution, you can kill it with the kill command:
kill PID
You could also use GNU screen which just about every Linux/Unix system should have.
If you are on Ubuntu/Debian, its enhanced variant byobu is rather nice too.
You might consider turning your python script into a proper python daemon, as described here.
python-daemon is a good tool that can be used to run python scripts as a background daemon process rather than a forever running script. You will need to modify existing code a bit but its plain and simple.
If you are facing problems with python-daemon, there is another utility supervisor that will do the same for you, but in this case you wont have to write any code (or modify existing) as this is a out of the box solution for daemonizing processes.
Alternate answer: tmux
ssh into the remote machine
type tmux into cmd
start the process you want inside the tmux e.g. python3 main.py
leaving the tmux session by Ctrl+b then d
It is now safe to exit the remote machine. When you come back use tmux attach to re-enter tmux session.
If you want to start multiple sessions, name each session using Ctrl+b then $. then type your session name.
to list all session use tmux list-sessions
to attach a running session use tmux attach-session -t <session-name>.
You can nohup it, but I prefer screen.
Here is a simple solution inside python using a decorator:
import os, time
def daemon(func):
def wrapper(*args, **kwargs):
if os.fork(): return
func(*args, **kwargs)
os._exit(os.EX_OK)
return wrapper
#daemon
def my_func(count=10):
for i in range(0,count):
print('parent pid: %d' % os.getppid())
time.sleep(1)
my_func(count=10)
#still in parent thread
time.sleep(2)
#after 2 seconds the function my_func lives on is own
You can of course replace the content of your bgservice.py file in place of my_func.
Try this:
nohup python -u <your file name>.py >> <your log file>.log &
You can run above command in screen and come out of screen.
Now you can tail logs of your python script by: tail -f <your log file>.log
To kill you script, you can use ps -aux and kill commands.
The zsh shell has an option to make all background processes run with nohup.
In ~/.zshrc add the lines:
setopt nocheckjobs #don't warn about bg processes on exit
setopt nohup #don't kill bg processes on exit
Then you just need to run a process like so: python bgservice.py &, and you no longer need to use the nohup command.
I know not many people use zsh, but it's a really cool shell which I would recommend.
If what you need is that the process should run forever no matter whether you are logged in or not, consider running the process as a daemon.
supervisord is a great out of the box solution that can be used to daemonize any process. It has another controlling utility supervisorctl that can be used to monitor processes that are being run by supervisor.
You don't have to write any extra code or modify existing scripts to make this work. Moreover, verbose documentation makes this process much simpler.
After scratching my head for hours around python-daemon, supervisor is the solution that worked for me in minutes.
Hope this helps someone trying to make python-daemon work
You can also use Yapdi:
Basic usage:
import yapdi
daemon = yapdi.Daemon()
retcode = daemon.daemonize()
# This would run in daemon mode; output is not visible
if retcode == yapdi.OPERATION_SUCCESSFUL:
print('Hello Daemon')

How to run python script in linux terminal console and continue using command line?

My question seems to be quite easy, but for some reason I did not find a quick answer to it. I have a python script that I want to run on the terminal command line (Ubuntu linux server), which works for me. But then I can't use the command line until the script ends. The script takes a long time to run, and I would like to continue using the command line to perform other tasks. How can you do the work of a script when its progress is not shown on the command line, but keep its work? And how can I see the active processes that are running on the server to see if a process is running?
Run script command:
python script.py
Add next with & echo "123":
The script takes a long time to run, and I would like to continue
using the command line to perform other tasks.
It seems that you want to run said process in background, please try pasting following
python script.py &
echo "123"
it should start your script.py and then output 123 (without waiting until script.py ends)
how can I see the active processes that are running on the server to
see if a process is running?
Using ps command
ps -ef
will list all processes which you would probably want to filter to get interested one to you.

Output freezing when using a python script to run a bash script which runs another script

I have always been able to use Python's subprocess.Popen to run bash scripts without any issues.
However, I am now trying to run a bash script with Popen, and then that bash script is trying to run another script. I did not redirect the output that Popen was getting at all, so all of the output would appear on the terminal. I'm using Ubuntu Linux.
However, when the script that is being called by the bash script finishes, the output on the terminal freezes while the rest of the bash script and the python script continues in the background.
I understand that it might not be the smoothest practice to have a python script run a bash script which also runs a bash script, but I'm hoping to fix this issue. I sense that it is an issue with how I'm running the original bash script inside my python script. Here is the code I'm using:
p = subprocess.Popen(["bash", "myScript.sh", param1, param2, param3])
p.wait()
I originally was using shell=True for the Popen, but that was resulting in the same issue. I also tried removing p.wait() but that also does not resolve the issue.
Any ideas? Should I use a different python method to run the bash script?

Running a shell script through Fabric which wants to run a background running command

I am a newbie in Fabric, and want to run one command in a background, it is written in shell script, and I have to run that command via Fabric, so lets assume I have a command in shell script as:
#!/bin/bash/
java &
Consider this is a file named myfile.sh
Now in Fabric I am using this code to run my script as:
put('myfile.sh', '/root/temp/')
sudo('sh /root/temp/myfile.sh')
Now this should start the Java process in background but when I login to the Machine and see the jobs using jobs command, nothing is outputted.
Where is the problem please shed some light.
Use it with
run('nohup PATH_TO_JMETER/Jmetercommand & sleep 5; exit 0)
maybe the process exists before you return. when you type in java, normally it shows up help message and exits. Try a sleep statement or something that lingers. and if you want to run it in the background, you could also append & to the sudo call
I use run("screen -d -m sh /root/temp/myfile.sh",pty=False). This starts a new screen session in detached mode, which will continue running after the connection is lost. I use the pty=False option because I found that when connecting to several hosts, the process would not be started in all of them without this option.

How to issue a command from the command line of a process running on Linux

Lets say I issue a command from the Linux command line. This will cause Linux to create a new Process and lets say that the Process expects to receive the command from the user.
For Example: I will run a python script test.py which will accept a command from the user.
$python test.py
TEST>addController(192.168.56.101)
Controller added
TEST>
The question I have is can I write a script which will go into the command line (TEST>) and issue a command? As far as I know if I write a script to run multiple commands it will wait for the first process to exit before running the next command.
Regards,
Vinay Pai B.H.
You should look into expect. It's a tool that is designed to automate user interaction with commands that need it. The man page explains how to use it.
Seems like there is also pexpect, a Python version of similar functionality.
Assuming the Python script is reading its commands from stdin, you can pass them in with a pipe or a redirection:
$ python test.py <<< 'addController(192.168.56.101)'
$ echo $'addController(192.168.56.101)\nfoo()\nbar()\nbaz()' | python test.py
$ python test.py <<EOF
addController(192.168.56.101)
foo()
bar()
baz()
EOF
If you don't mind waiting for the calls to finish (one at a time) before returning control to your program, you can use the subprocess library. If you want to start something running and not wait for it to finish, you can use the multiprocessing library.

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