Category : logging

I’m new to python. I’ve encountered a minor nuisance in my console output when using a streamHandler() output from the logging module together with an input() line. I configure my logger with the following function: def configure_logger(filename=’log’): """Configures a logger which outputs at level INFO and above to both the console and a file called ..

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All, I’ve searched online but reverted to here for some advice. My question is, I’ve got a python application that runs multiple websockets and every minute prints something to the console and own file. This was great while worked locally, now everything is on the server in docker. What I’m searching is a service where ..

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I want to decoratewrap a function and prevent the logging of all logs from within that function’s scope. def prevent_logs_wrapper(func): … … … @prevent_logs_wrapper def some_logs(): logger.info(‘Log an info msg’) logger.warning(‘Log a warning msg’) and instead of this output [INFO] Log an info msg [WARNING] Log an warning msg we won’t get any logs. Source: ..

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Question I would like to have logs from a Python app running on a Docker container show up at spot D in the below diagram. How do I do this? Context I am aware that this seems to point directly at using bind mounts, but my understanding of Dockers documentation is that they strongly suggest ..

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currently we are having an issue trying to apply our custom logging format to a python file being called by bashoperator. Here is an example of a properly formatted log: {"asctime": "2021-11-30 00:00:02,562", "name": "bts", "levelname": "INFO", "message": "created the logger"} These are the config changes we made to airflow_local_settings.py for logging: DEFAULT_LOGGING_CONFIG: Dict[str, Any] ..

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my Kaggle-Notebook does not print Outputs. import logging import sys # noinspection SpellCheckingInspection,SpellCheckingInspection,SpellCheckingInspection,SpellCheckingInspection,PyArgumentList def defaultLogger(name="fashiondataset", level=logging.DEBUG, handlers=None, format='[%(asctime)s] {%(filename)s:%(lineno)d} %(levelname)s – %(message)s’): handlers = handlers if handlers else [logging.StreamHandler(sys.stdout)] logging.basicConfig(level=level, format=format, handlers=handlers) logger = logging.getLogger(name) logging.getLogger("matplotlib").setLevel(logging.WARNING) logging.getLogger("nltk_data").setLevel(logging.WARNING) logging.getLogger("pysndfx").setLevel(logging.WARNING) logging.getLogger(‘selenium.webdriver.remote.remote_connection’).setLevel(logging.WARNING) logging.getLogger(‘connectionpool’).setLevel(logging.WARNING) logging.getLogger("requests").setLevel(logging.WARNING) logging.getLogger("urllib3").setLevel(logging.WARNING) return logger print("Testing Logger") logger = defaultLogger() logger.info("Logging Info Test") logger.debug("Logging Debug Test") ..

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I have already tried the RotatingFileHandler, That solution is not what I am looking for. I want a system that will automatically split log file into multiple files if it exceeds a certain limit (ex 10MB). my_handler = RotatingFileHandler(log_filename, mode=’a’, maxBytes=1024*1024*10, backupCount=2, encoding=None, delay=0) Already tried this^, but this is not what I want. Source: ..

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