Now, Python has the logging module, which lets you specify a lot of options to customize output. So, I'm imagining something similar would be possible with Python, but I can’t find out how to do this anywhere. Is there any way to make the Python logging module output in color?
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We can also expand this a little, so it print s to stdout only when necessary: def log_print(message: str, level: int, logger: logging.Logger): # log the message normally. logger.log(level=level, msg=message) # only print to stdout if the message is not logged to stdout. msg_logged_to_stdout = False.
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In python logging module Log is formatted using below : formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') **simple_example.py ...
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Is there a way to make Python logging using the logging module automatically output things to stdout in addition to the log file where they are supposed to go?
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The Python logging module organizes loggers in a hierarchy. All loggers are descendants of the root logger. Each logger passes log messages on to its parent. New loggers are created with the getLogger() function. The function call logging.getLogger('debug0.x') creates a logger x which is a child of debug0 which itself is a child of the root logger.
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461. Best practice is, in each module, to have a logger defined like this: import logging. logger = logging.getLogger(__name__) near the top of the module, and then in other code in the module do e.g. logger.debug('My message with %s', 'variable data') If you need to subdivide logging activity inside a module, use e.g.
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Uncaught exception messages go to STDERR, so instead of implementing your logging in Python itself you could send STDERR to a file using whatever shell you're using to run your Python script. In a Bash script, you can do this with output redirection, as described in the BASH guide. Examples. Append errors to file, other output to the terminal:
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So if you've previously explicitly loaded some complex logger config in you Python script, and that has messed with the root logger's handler(s), then this can have an effect, and just changing the loggers log level with logging.getLogger().setLevel(..) may not work. This is because the attached handler may have a log level set independently. This is unlikely to be the case and not something ...
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log.debug("In new log file") Thus you have to pass the file name along while getting the logger. To use the global logger in A.py: from myLogger import myLog. log = myLog(__name__) log.debug("In myGlobalLog file") Need not pass the file name in this case as we gonna use the global log. edited Nov 24, 2016 at 10:54.
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I have gone over the link you provided and it was helpful. I have copied the code you gave me and was I wrong to assume I would be able to use logger.info("message") and logger.warning("message") successfully? I was able to write to the file using logger.warning, however logger.info does not seem to write to the file. –
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