Introduction to log-hanging-thread

In the world of programming, debugging and monitoring threads are crucial for the development and maintenance of any application. The log-hanging-thread library is designed to help developers identify and log threads that might be causing performance issues or deadlocks in your programs.

Key APIs and Usage

Let’s delve into some of the key APIs offered by log-hanging-thread with code snippets for better understanding:

1. start_logging

This method starts logging any hanging threads in the application.

from log_hanging_thread import start_logging

start_logging()

2. stop_logging

This method stops the logging process initiated by start_logging.

from log_hanging_thread import stop_logging

stop_logging()

3. thread_timeout

Sets a timeout duration for detecting and logging hanging threads.

from log_hanging_thread import thread_timeout

thread_timeout(30)  # Timeout duration of 30 seconds

4. log_file

Specify a file where the logs should be saved.

from log_hanging_thread import log_file

log_file('hanging_threads.log')

Application Example

Below is a simple application integrating some of these APIs to demonstrate its use:

from log_hanging_thread import start_logging, stop_logging, thread_timeout, log_file
import threading
import time

# Set up logging
log_file('hanging_threads.log')
thread_timeout(5)  # Set a timeout of 5 seconds for a thread to be considered hanging
start_logging()

def sample_task():
    time.sleep(10)  # Simulate a long-running task

# Create and start a thread
thread = threading.Thread(target=sample_task)
thread.start()

# Wait for the thread to finish
thread.join()

# Stop logging
stop_logging()

This script configures log-hanging-thread to log any thread that runs longer than 5 seconds. It starts a thread that deliberately sleeps for 10 seconds to simulate a hanging thread.

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