Introduction to md5-logger
Welcome to the comprehensive guide on md5-logger. This handy tool is designed to help developers streamline the logging process by using MD5 hashes for simplicity and efficiency. Whether you are debugging or tracking the state of your application, md5-logger offers a range of functionalities to make logging more structured and useful.
Getting Started with md5-logger
import md5_logger # Initializing the md5-logger logger = md5_logger.Logger() # Logging a simple message logger.log("This is a simple log message.")
Advanced API Usage
Logging with Different Levels
# Logging messages with different levels logger.info("This is an info log.") logger.warning("This is a warning log.") logger.error("This is an error log.")
Creating Custom Log Handlers
# Defining a new log handler def custom_handler(message): print(f"Custom handler received: {message}") logger.add_handler(custom_handler) # Logs will now be processed by the custom handler logger.log("Log with custom handler.")
Logging Exceptions
try: 1 / 0 except ZeroDivisionError as e: logger.log_exception(e)
Using Context Managers for Scoping Logs
with logger.context("my-app"): logger.log("Contextual log within 'my-app'")
Complete Application Example
Let’s put it all together in a simple application example:
import md5_logger def divide(a, b): try: return a / b except ZeroDivisionError as e: logger.log_exception(e) return None logger = md5_logger.Logger() if __name__ == "__main__": logger.info("Application started") result = divide(10, 2) logger.info(f"Division result: {result}") result = divide(10, 0) logger.info(f"Division result with zero division: {result}") with logger.context("shutdown"): logger.info("Application is shutting down")
Using md5-logger in this fashion makes logging robust and easy to manage, ensuring that every important operation is well-documented and traceable.
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