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Configuring Logs for Work and Pleasure

Explore how to configure Python's logging module through various methods, including loggers, formatting, config files, and dictionaries. Understand how to set up and modify log output effectively for debugging and application monitoring.

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The logging module can be configured 3 different ways. You can configure it using methods (loggers, formatters, handlers) like we did earlier in this article; you can use a configuration file and pass it to fileConfig(); or you can create a dictionary of configuration information and pass it to the dictConfig() function. Let’s create a configuration file first and then we’ll look at how to execute it with Python. Here’s an example config file:

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[loggers]
keys=root,exampleApp
[handlers]
keys=fileHandler, consoleHandler
[formatters]
keys=myFormatter
[logger_root]
level=CRITICAL
handlers=consoleHandler
[logger_exampleApp]
level=INFO
handlers=fileHandler
qualname=exampleApp
[handler_consoleHandler]
class=StreamHandler
level=DEBUG
formatter=myFormatter
args=(sys.stdout,)
[handler_fileHandler]
class=FileHandler
formatter=myFormatter
args=("config.log",)
[formatter_myFormatter]
format=%(asctime)s - %(name)s - %(levelname)s - %(message)s
datefmt=

You’ll notice that we have two loggers specified: ...