Then, use the setLogger() method to set the log level. And the Formatter is set on the FileHandler object and not directly on the logger.įor example, use getLogger() to create or get a logger. Likewise, a Formatter() is used to change the format of our logged messages. Here we logged our information to logfile.log. A FileHandler() is used to make our custom logger log in to a different file. Once we have created a new logger, we should remember to log all our messages using the new () instead of the root’s () method. There is a convention to use _name_ variable as the name of the logger. That’s why we need to create a new logger using the logger.getLogger(name) method. If we are using multiple modules in a program, then using the root module has severe limitations. Use logging Module to Print Log Message to a File in Python Output: INFO:root:Area of length: 3 and breadth: 4 is 12 Then instead of print(), we call logging.".format(l=3, b=4, c=area(l=3,b=4))) To use logging and set up the basic configuration, we use logging.basicConfig(). Use the logging Module to Print the Log Message to Console in Python 14:50:01,349 Testing non-ASCII character, Ø and ö Logging.error('Testing non-ASCII character, Ø and ö')
bug('This message is skipped as a level is set as INFO') #python 3.xįormat="%(asctime)s %(message)s", In the example below, the logs are printed in the console and the file debug.log. To write to stdout, we import the sys module and pass sys.stdout explicitly to StreamHandler(). By default StreamHandler() writes to stderr. Similarly, to write to a console, we use StreamHandler(). We use the FileHandler() method to write to a file and use debug.log to log all the information. To write to console and file, we will use logging.basicConfig(), which can take argument handlers and simplify logging setup a lot, especially when setting up multiple handlers with the same formatter. Hence, INFO, WARNING, ERROR, and CRITICAL are displayed or stored. We have set the logging level to INFO down below. There are six logging levels: CRITICAL, ERROR, WARNING, INFO, DEBUG, and NOTSET. The logging levels are represented in numeric values. It creates a StreamHandler using a default Formatter. The basicConfig() method performs the basic configuration. Loggers, Handlers, Filters and Formatters are the basic classes that the logging module defines. The module has specific classes and methods. The logging module is provided by Python that facilitates the programmers to log the various events occurred. The various events are tracked and stored in a log file. Those events could be input data, processes, threads, output data, processed information, errors, warnings, notices. Logging is the process of keeping records of various events happening in a system. Use the logging Module to Print the Log Message to File and Console in Python This tutorial will introduce some methods to log debug strings into a file and console in Python. Use logging Module to Print Log Message to a File in Python.Use the logging Module to Print the Log Message to Console in Python.Use the logging Module to Print the Log Message to File and Console in Python.
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