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What is getLogger in Python?
getLogger() returns a reference to a logger instance with the specified name if it is provided, or root if not. The names are period-separated hierarchical structures. Multiple calls to getLogger() with the same name will return a reference to the same logger object.
How do you set up a logger level?
To set or change the logger level before the environment is opened, do one of the following:
- Set logging levels using the standard Java LogManager properties file. For example, you can set: com.sleepycat.je.level=INFO.
- Set logging levels programmatically using the java. util.
What are the benefits of a logging module in Python?
The key benefit of having the logging API provided by a standard library module is that all Python modules can participate in logging, so your application log can include your own messages integrated with messages from third-party modules. The module provides a lot of functionality and flexibility.
Can you use multiple loggers in one module?
Now you could use multiple loggers in same module and across whole project if the above is defined in a separate module and imported in other modules were logging is required. @Yarkee’s solution seemed better.
How to avoid passing logger reference between functions?
The typical way to handle logging is to have a per-module logger stored in a global variable. Any functions and methods within that module then just reference that same logger instance. This is discussed briefly in the intro to the advance logging tutorial in the documentation: http://docs.python.org/howto/logging.html#advanced-logging-tutorial
Do you need to initialize the logging module?
To use the logging module, some initialization is required – At present, I perform this initialization in every module before I start logging messages. Is it possible to perform this initialization only once in one place such that the same settings are reused by logging all over the project?