Logging in Python
import logging logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) fh = logging.FileHandler('my.log') fh.setLevel(logging.INFO) fh.setFormatter( logging.Formatter('%(asctime)s - %(name)s - %(levelname)-10s - %(message)s') ) logger.addHandler(fh) sh = logging.StreamHandler() sh.setLevel(logging.DEBUG) sh.setFormatter(logging.Formatter('%(asctime)s - %(levelname)-10s - %(message)s')) logger.addHandler(sh) log = logging.getLogger(__name__) log.debug("debug") log.info("info") log.warning("warning") log.error("error") log.critical("critical")
We start by importing the logging module.
Then we create a logger object using the getLogger method. We could pass any string to it to give it a name, but it is quite common to use the name of the current file which, in modules is in the __name__ varible.
WARNING. It is important to set this to a low value as later setting won't be able to below this value. So setting this to DEBUG will let the output channels we define later to use anything from DEBUG and up.
Then we can create one or more output channels called Handlers. The first one is a handler that will write to a file call my.log. We set the minimum logging level to INFO. Remember, there is no point in setting this below the global logging level as that already filters out the low-level logging messages. Then we create a formatter telling the handler how we would like the log lines to be formatted on this output channel. Finally we add our output handler to the logger.
Then we create another output channel this time using StreamHandler that will print to STDERR. Just as we saw in the simple Python logging examples. Here too we set the minimal logging level and the format. They could be the same as for the filehandler, but they can be also different as in this example. Finally we add this handler too to the logger object.
This was the setup. We can do this in our main file.
Then anywhere in the application we can call getLogger with the same name that we used earlier. (Because in our example we are in the same file I used the same __name__. The call to getLogger will retuturn the same, already configure logging object.
In order to show this I've assigned it to a different variable name. Then we could use any of the file logging methods.
The result of running this script is that we see the following on the screen (on STDERR):
2018-06-12 09:27:38,749 - DEBUG - debug 2018-06-12 09:27:38,749 - INFO - info 2018-06-12 09:27:38,749 - WARNING - warning 2018-06-12 09:27:38,749 - ERROR - error 2018-06-12 09:27:38,750 - CRITICAL - critical
The content of "my.log" will look like this:
2018-06-12 09:27:38,749 - __main__ - INFO - info 2018-06-12 09:27:38,749 - __main__ - WARNING - warning 2018-06-12 09:27:38,749 - __main__ - ERROR - error 2018-06-12 09:27:38,750 - __main__ - CRITICAL - critical