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Description:

processrunner 2.6.0

Python ProcessRunner

Designed to make reading from external processes easier. While targeted for
use cases like processing log output, it also allows multiple writers to
send text to the stdin of external processes.
Output can be sent to multiple locations. E.g. the stdout and stderr of an
external process can be written to one or multiple files, AND also to the
pipes of the local process.
Several convenience functions simplify common use cases. All the classes and
functions take the command to execute in the subprocess.Popen/.call format,
a list of strings starting with the command name, followed by any arguments
for that command.
See the full documentation for complete details.

Chain commands together
Connect the stdout of one command to the stdin of another. Just use the “or”
function, similar to how this is done in a shell.
This is not all purpose. Commands often do not end when you expect them to,
and require use of watchers to stop them independently. (collectLines, for
instance, will hang.)
See the tests directory “processrunner_chaining_test.py” for examples.

Provided classes

ProcessRunner
The ProcessRunner class uses subprocess.Popen. It does not use the
shell=True flag. All instances of the class are saved in
PROCESSRUNNER_PROCESSES. A list of currently active processes started
by the class can be retrieved by calling getActiveProcesses(), which
IS NOT a class member.

Properties

Non-blocking: Returns immediately; the external process is managed in a new thread
Output can be read by iterating over ProcessRunner.[stdout|stderr|output]
Supports with context manager syntax

Convenience functions
A number of convenience functions are available to quickly run a command
with common options, run a command via SSH, and other activities. These are
referenced on the Convenience Functions documentation page: Convenience
Functions.

Examples
A larger set of examples is available on the Examples page in the
documentation.

Simple
Use SCP to copy a local file to a remote host, using SSH key-based authentication.
# Run a command, wait for it to complete, and gather its return code
command = ["scp", "-o", "BatchMode=yes", "-o", "StrictHostKeyChecking=no", "/path/to/local/file", clientAddress+":/tmp/"]
result = ProcessRunner(command).wait().poll()

Complex
While an external command runs, write the external process’ stdout and
stderr to the corresponding local pipes, as well as corresponding files.
Further, prefix the local pipe output with dedicated notes, and prefix the
file output with timestamps.
# Imports
import os
import sys
from datetime import datetime
from processrunner import ProcessRunner, WriteOut

if __name__ == "__main__":
# Logging files
working_dir = os.path.dirname(os.path.realpath(__file__))
stdoutFile = open(working_dir+'/stdout.txt', 'a')
stderrFile = open(working_dir+'/stderr.txt', 'a')

# Date/time notation for output lines in files
class DateNote:
def init(self):
pass
def __repr__(self):
return datetime.now().isoformat() + " "

# Prep the process
# Script available in the ProcessRunner source:
# https://github.com/arobb/python-processrunner/blob/main/tests/test-output-script.py
command = ["tests/test-output-script.py",
"--lines", "5",
"--out-pipe", "both"]
proc = ProcessRunner(command, autostart=False)

# Attach output mechanisms to the process's output pipes. These are
# handled asynchronously, so you can see the output while it is happening
# Write to the console's stdout and stderr, with custom prefixes for each
proc.mapLines(WriteOut(pipe=sys.stdout,
outputPrefix="validation-stdout> "),
procPipeName="stdout")
proc.mapLines(WriteOut(pipe=sys.stderr,
outputPrefix="validation-stderr> "),
procPipeName="stderr")

# Write to the log files, prepending each line with a date/time stamp
proc.mapLines(WriteOut(pipe=stdoutFile, outputPrefix=DateNote()),
procPipeName="stdout")
proc.mapLines(WriteOut(pipe=stderrFile, outputPrefix=DateNote()),
procPipeName="stderr")

# Start the process, then block regular execution until the
# process finishes
proc.start().wait()

stdoutFile.close()
stderrFile.close()