Stdout get updated every 0.5 seconds for every two lines to contain: 0Īnd each log file contains the respective log for a given process. T2 = threading.Thread(target=output_reader, args=(proc2, file2)) For example, if you want to run the command 'python myscript. T1 = threading.Thread(target=output_reader, args=(proc1, file1)) Method 1: Using the subprocess module To start a background process in Python using the subprocess module, you can follow these steps: Import the subprocess module: import subprocess Define the command to be executed as a list of strings. Subprocess.Popen(, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc2, \ First, though, you need to import the subprocess and sys modules into your program: import subprocess import sys result subprocess. With subprocess.Popen(, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc1, \ You can use the n function to run an external program from your Python code. The threading module allows us to do that.įirst, have a look at how to do the output redirection part alone in this question: Python Popen: Write to stdout AND log file simultaneously For example, I wanted to launch two processes that talk over a port between them, and save their stdout to a log file and stdout. Popen() with the closefdsTrue parameter, which will allow the spawned subprocess to be detached from the Python process itself and continue. However, there are cases where you need this. delayedprint.py and the runs python delayedprint.py from the command line, you will see that the program ends. import threading def waitprint (): time.sleep (5) print ('delayed') t threading.Thread (targetwaitprint) t.start () If you store this program as e.g. Both capture output and run on background with threadingĪs mentioned on this answer, if you capture the output with stdout= and then try to read(), then the process blocks. In your current example, this is hard to see but looking at an example like.
0 kommentar(er)
