Logging effectively in Python is crucial for maintaining application security and monitoring system behavior. Proper logging practices can help detect security issues, performance bottlenecks, and enhance overall debugging processes.
import logging
# Configure logging
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('app.log'),
logging.StreamHandler()
])
logger = logging.getLogger(__name__)
def secure_function():
try:
# Simulate some processing
logger.info("Executing secure function...")
# Simulate an exception
raise ValueError("An error has occurred!")
except Exception as e:
logger.error(f"Error occurred: {e}")
secure_function()
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