![]() ![]() Text file while simultaneously logging errors or above to the console. Will be beneficial for an application to log all messages of all severities to a Minimum or maximum quota for the number of handlers you may add. Works for more threads than shown here, of course. This shows the logging output interspersed as one might expect. Shows logging from the main (initial) thread and another thread: Logging from multiple threads requires no special effort. 23:47:11,673 - spam_application - INFO -ĭone with auxiliary_module.some_function() ![]() 23:47:11,670 - spam_application - INFO -įinished auxiliary_something 23:47:11,668 - spam_application - INFO -Ĭalling auxiliary_something 23:47:11,665 - spam_application - INFO -Ĭreated an instance of auxiliary_module.Auxiliary 23:47:11,663 - spam_application - INFO -Ĭreating an instance of auxiliary_module.Auxiliary info ( 'done with auxiliary_module.some_function()' ) info ( 'calling auxiliary_module.some_function()' ) auxiliary_module. info ( 'finished auxiliary_something' ) logger. info ( 'calling auxiliary_something' ) a. info ( 'created an instance of auxiliary_module.Auxiliary' ) logger. info ( 'creating an instance of auxiliary_module.Auxiliary' ) a = auxiliary_module. setFormatter ( formatter ) # add the handlers to the logger logger. Formatter ( ' %(asctime)s - %(name)s - %(levelname)s - %(message)s ' ) fh. ERROR ) # create formatter and add it to the handlers formatter = logging. DEBUG ) # create console handler with a higher log level ch = logging. DEBUG ) # create file handler which logs even debug messages fh = logging. Import logging import auxiliary_module # create logger with 'spam_application' logger = logging. Adding handlers other than NullHandler to a logger in a library.Using loggers as attributes in a class or passing them as parameters.Opening the same log file multiple times.How to treat a logger like an output stream.Using a context manager for selective logging.Formatting times using UTC (GMT) via configuration. ![]()
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