Python provides a very powerful logging library in its standard library. A lot of programmers use print statements for debugging (myself included), but you can also use logging to do this. It's actually cleaner to use logging as you won't have to go through all your code to remove the print statements. In this tutorial we'll cover the following topics:
By the end of this tutorial, you should be able to confidently create your own logs for your applications. Let's get started!
Creating a log with the logging module is easy and straight-forward. It's easiest to just look at a piece of code and then explain it, so here's some code for you to read:
import logging
# add filemode="w" to overwrite
logging.basicConfig(filename="sample.log", level=logging.INFO)
logging.debug("This is a debug message")
logging.info("Informational message")
logging.error("An error has happened!")
As you might expect, to access the logging module you have to first import it. The easiest way to create a log is to use the logging module's basicConfig function and pass it some keyword arguments. It accepts the following: filename, filemode, format, datefmt, level and stream. In our example, we pass it a file name and the logging level, which we set to INFO. There are five levels of logging (in ascending order): DEBUG, INFO, WARNING, ERROR and CRITICAL. By default, if you run this code multiple times, it will append to the log if it already exists. If you would rather have your logger overwrite the log, then pass in a filemode="w" as mentioned in the comment in the code. Speaking of running the code, this is what you should get if you ran it once:
INFO:root:Informational message ERROR:root:An error has happened!
Note that the debugging message isn't in the output. That is because we set the level at INFO, so our logger will only log if it's a INFO, WARNING, ERROR or CRITICAL message. The root part just means that this logging message is coming from the root logger or the main logger. We'll look at how to change that so it's more descriptive in the next section. If you don't use basicConfig, then the logging module will output to the console / stdout.
The logging module can also log some exceptions to file or wherever you have it configured to log to. Here's an example:
import logging
logging.basicConfig(filename="sample.log", level=logging.INFO)
log = logging.getLogger("ex")
try:
raise RuntimeError
except Exception, err:
log.exception("Error!")
This will log the entire traceback to file, which can be very handy when debugging.
The more you code, the more often you end up creating a set of custom modules that work together. If you want them all to log to the same place, then you've come to the right place. We'll look at the simple way and then show a more complex method that's also more customizable. Here's one easy way to do it:
import logging
import otherMod
#----------------------------------------------------------------------
def main():
"""
The main entry point of the application
"""
logging.basicConfig(filename="mySnake.log", level=logging.INFO)
logging.info("Program started")
result = otherMod.add(7, 8)
logging.info("Done!")
if __name__ == "__main__":
main()
Here we import logging and a module of our own creation ("otherMod"). Then we create our log file as before. The other module looks like this:
# otherMod.py
import logging
#----------------------------------------------------------------------
def add(x, y):
""""""
logging.info("added %s and %s to get %s" % (x, y, x+y))
return x+y
If you run the main code, you should end up with a log that has the following contents:
INFO:root:Program started INFO:root:added 7 and 8 to get 15 INFO:root:Done!
Do you see the problem with doing it this way? You can't really tell very easily where the log messages are coming from. This will only get more confusing the more modules there are that write to this log. So we need to fix that. That brings us to the complex way of creating a logger. Let's take a look at a different implementation:
import logging
import otherMod2
#----------------------------------------------------------------------
def main():
"""
The main entry point of the application
"""
logger = logging.getLogger("exampleApp")
logger.setLevel(logging.INFO)
# create the logging file handler
fh = logging.FileHandler("new_snake.log")
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
fh.setFormatter(formatter)
# add handler to logger object
logger.addHandler(fh)
logger.info("Program started")
result = otherMod2.add(7, 8)
logger.info("Done!")
if __name__ == "__main__":
main()
Here we create a logger instance named "exampleApp". We set its logging level, create a logging file handler object and a logging Formatter object. The file handler has to set the formatter object as its formatter and then the file handler has to be added to the logger instance. The rest of the code in main is mostly the same. Just note that instead of "logging.info", it's "logger.info" or whatever you call your logger variable. Here's the updated otherMod2 code:
# otherMod2.py
import logging
module_logger = logging.getLogger("exampleApp.otherMod2")
#----------------------------------------------------------------------
def add(x, y):
""""""
logger = logging.getLogger("exampleApp.otherMod2.add")
logger.info("added %s and %s to get %s" % (x, y, x+y))
return x+y
Note that here we have two loggers defined. We don't do anything with the module_logger in this case, but we do use the other one. If you run the main script, you should see the following output in your file:
2012-08-02 15:37:40,592 - exampleApp - INFO - Program started 2012-08-02 15:37:40,592 - exampleApp.otherMod2.add - INFO - added 7 and 8 to get 15 2012-08-02 15:37:40,592 - exampleApp - INFO - Done!
You will notice that we no longer have any reference to root has been removed. Instead it uses our Formatter object which says that we should get a human readable time, the logger name, the logging level and then the message. These are actually known as LogRecord attributes. For a full list of LogRecord attributes, see the documentation as there are too many to list here.
The logging module can be configured 3 different ways. You can configure it using methods (loggers, formatters, handlers) like we did earlier in this article; you can use a configuration file and pass it to fileConfig(); or you can create a dictionary of configuration information and pass it to the dictConfig() function. Let's create a configuration file first and then we'll look at how to execute it with Python. Here's an example config file:
[loggers]
keys=root,exampleApp
[handlers]
keys=fileHandler, consoleHandler
[formatters]
keys=myFormatter
[logger_root]
level=CRITICAL
handlers=consoleHandler
[logger_exampleApp]
level=INFO
handlers=fileHandler
qualname=exampleApp
[handler_consoleHandler]
class=StreamHandler
level=DEBUG
formatter=myFormatter
args=(sys.stdout,)
[handler_fileHandler]
class=FileHandler
formatter=myFormatter
args=("config.log",)
[formatter_myFormatter]
format=%(asctime)s - %(name)s - %(levelname)s - %(message)s
datefmt=
You'll notice that we have two loggers specified: root and exampleApp. For whatever reason, "root" is required. If you don't include it, Python will raise a ValueError from config.py's _install_loggers function, which is a part of the logging module. If you set the root's handler to fileHandler, then you'll end up doubling the log output, so to keep that from happening, we send it to the console instead. Study this example closely. You'll need a section for every key in the first three sections. Now let's see how we load it in the code:
# log_with_config.py
import logging
import logging.config
import otherMod2
#----------------------------------------------------------------------
def main():
"""
Based on http://docs.python.org/howto/logging.html#configuring-logging
"""
logging.config.fileConfig('logging.conf')
logger = logging.getLogger("exampleApp")
logger.info("Program started")
result = otherMod2.add(7, 8)
logger.info("Done!")
if __name__ == "__main__":
main()
As you can see, all you need to do is pass the config file path to logging.config.fileConfig. You'll also notice that we don't need all that setup code any more as that's all in the config file. Also we can just import the otherMod2 module with no changes. Anyway, if you run the above, you should end up with the following in your log file:
2012-08-02 18:23:33,338 - exampleApp - INFO - Program started 2012-08-02 18:23:33,338 - exampleApp.otherMod2.add - INFO - added 7 and 8 to get 15 2012-08-02 18:23:33,338 - exampleApp - INFO - Done!
As you might have guessed, it's very similar to the other example. Now we'll move on to the other config method. The dictionary configuration method (dictConfig) wasn't added until Python 2.7, so make sure you have that or better or you won't be able to follow along. It's not well documented how this works. In fact, the examples in the documentation show YAML for some reason. Anyway, here's some working code for you to look over:
# log_with_config.py
import logging
import logging.config
import otherMod2
#----------------------------------------------------------------------
def main():
"""
Based on http://docs.python.org/howto/logging.html#configuring-logging
"""
dictLogConfig = {
"version":1,
"handlers":{
"fileHandler":{
"class":"logging.FileHandler",
"formatter":"myFormatter",
"filename":"config2.log"
}
},
"loggers":{
"exampleApp":{
"handlers":["fileHandler"],
"level":"INFO",
}
},
"formatters":{
"myFormatter":{
"format":"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
}
}
}
logging.config.dictConfig(dictLogConfig)
logger = logging.getLogger("exampleApp")
logger.info("Program started")
result = otherMod2.add(7, 8)
logger.info("Done!")
if __name__ == "__main__":
main()
If you run this code, you'll end up with the same output as the previous method. Note that you don't need the "root" logger when you use a dictionary configuration.
At this point you should know how to get started using loggers and how to configure them in several different ways. You should also have gained the knowledge of how to modify the output using the Formatter object. If you want to get really fancy with the output, I recommend that you check out some of the links below.
Copyright © 2024 Mouse Vs Python | Powered by Pythonlibrary