Python Logging, Driscoll M., 2024

Python Logging, Driscoll M., 2024.

   Welcome to Python Logging! Whether you’re new to programming or an old hand, you have probably seen or interacted with logs.
A log is any information from the program that the original software developers thought would help debug their application. They usually consist of timestamped informational messages and different levels of errors.
Some companies require logs for auditing purposes, such as who was the last person to edit or change a setting or document. Most developers use logs to track down bugs. If you design your application correctly, you can use different logging levels to increase or decrease the log’s verbosity.




An Intro to Logging.
When you’re a beginner and debugging your code, you probably use Python’s handy print() function. There’s nothing wrong with that. Using print() in this way is normal. However, when you push your code to production or share it on GitHub, you should remove those print() functions.

Why? Well, the problem is that you can accidentally leak sensitive information. For example, sometimes, you print out an API key or a password. When you use pr i nt (), it goes to standard out (stdout), and that can be seen by anyone running the code. You shouldn’t share those kinds of things with just anyone. Someone might log in to your account, after all.

Contents.
Acknowledgments. 
Introduction to Python Logging.
Audience.
About the Author.
Conventions. 
Book Source Code.
Reader Feedback. 
Errata.
Chapter 1 - An Intro to Logging. 
What are logs?.
Why are logs useful?.
print() versus logging.
How to create a simple “Hello World” log.
Wrapping Up. 
Chapter 2 - Log Levels.
Available log levels.
Using log levels.
Logging Exceptions.
Wrapping Up. 
Chapter 3 - Log Handlers.
Available logging handlers.
Using basicConfig.
Using a logging handler.
Using multiple handlers at once.
Other handler features. 
Wrapping Up.
Chapter 4 - Log Formatters. 
What is a Logging Formatter?. 
LogRecords. 
LogRecord Attributes. 
Formatting Your Logs. 
Formatting the Date and Time. 
Using Parameters. 
Wrapping Up.
Chapter 5 - Log Configuration.
Configuring Using the logging API.
Configuring Using fileConfig(). 
Configuring Using dictConfig(). 
Wrapping Up.
Chapter 6 - Log Filters.
Creating a filter.
Applying the Filter to a Logger.
Applying the Filter to a Handler. 
Wrapping Up.
Chapter 7 - Logging from Multiple Modules.
Logging Using the Logging API.
Logging Using dictConfig. 
Wrapping Up.
Chapter 8 - Creating a Logging Decorator. 
What is a Decorator?. 
Creating an Exception Logging Decorator.
Passing a Logger to a Decorator.
Wrapping Up.
Chapter 9 - Rotating Logs. 
Rotating Logs Based on File Size.
Timed Rotations. 
Rotating Logs Using a Config.
Customization Using the Rotator and Namer. 
Wrapping Up. 
Chapter 10 - Logs and Concurrency. 
Using threading. 
Using multiprocessing. 
Using Threads and Processes. 
Using concurrent.futures.
Asynchronous Logging.
Wrapping Up. 
Chapter 11 - Logging with Loguru.
Installation.
Logging Made Simple. 
Handlers and Formatting. 
Catching Exceptions. 
Terminal Logging with Color. 
Easy Log Rotation. 
Wrapping Up. 
Chapter 12 - Logging with Structlog. 
Installing structlog.
structlog’s Log Levels.
Log Formatting with structlog. 
Updating the Timestamp.
Serializing to JSON. 
Logging Exceptions using structlog.
Logging to Disk. 
Wrapping Up. 
Afterword.



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