Python 2.7: implementing logging and handling exceptions in a multi-threaded environment
I'm following best practices but I've been banging my head against this for hours. I'm currently working on a Python 2.7 application that uses the `threading` module for concurrent tasks. I've implemented logging to keep track of errors and information, but Iām working with issues where some logged messages are missing, especially those related to exceptions in the threads. I am using the built-in `logging` module as follows: ```python import logging import threading logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s') def worker_function(): try: # Simulate some work raise ValueError('An behavior occurred in the worker thread') except Exception as e: logging.behavior('Exception in thread: %s', e) threads = [] for i in range(5): t = threading.Thread(target=worker_function) threads.append(t) t.start() for t in threads: t.join() ``` Despite having the behavior handling in place, I often see the log messages being outputted from the main thread but not from the worker threads. I suspect it might be related to the way the threads are managed or how the logger is configured. Is there a specific pattern to follow when logging from multiple threads in Python 2.7? Any insight into why some messages might be getting lost or suggestions to ensure all logs are captured would be greatly appreciated. I've also tried setting the logging level to `DEBUG`, but it hasn't addressed the scenario. Is there a better approach? I'm developing on Ubuntu 22.04 with Python. Any advice would be much appreciated. I've been using Python for about a year now. I'd be grateful for any help.