Did you realize that nearly 65 percent of the websites currently online were constructed using Python? Using this programming language is a great way to bring your ideas for great websites or web-based applications to life. However, you need to make sure that human error doesn’t lead to your tech creation becoming unreliable or unusable.
Rather than hoping your code is correct, you need to make sure it is. This is why logging all of the errors that happen within the running of your website or app is crucial. Log management is a practice that has been used by developers for years. If you want a quick rundown of this practice, here you can learn about Python Log Management.
In this article, we are going to discuss how to optimize the logging process to ensure all of the problems with your website or app are found and fixed in a timely manner.
Understanding Logging Levels
One of the first things a developer needs to understand is the various levels of logging in python. There are five basic logging levels. Each of these levels will provide a certain word in the error log to let a developer know what is possibly going on.
Critical- When presented with this error message, you are dealing with an extremely serious error. Often times, this logging level error message will appear when problems have taken place that prohibits the website or app in question from operating.
Debug- The debug logging level is designed to provide developers with detailed information. This information will then be used to diagnose and fix the issue at hand.
Error- The coding process involves setting up a number of different functions for the various parts of a software program or website. If one or more of these functions are not working properly, you will be presented with an error logging message. This indicates there is a serious problem that has to be fixed before the program in question can operate correctly.
Info- All programmers want to see the info logging message from their creation. This message is an indication that everything is running well. Consistent info logging messages are a relief to a new programmer unsure of their abilities.
Warning- If a programmer is presented with a warning, it generally means their program is working correctly but there is a problem present. Finding and fixing this issue before it leads to a critical or error message is crucial.
Now that you know more about the various logging levels in Python, we will cover how to log to a file instead of your console.
Create a Log File is Important
Are you looking for a way to make collecting and analyzing logs easier? If so, logging to a file instead of a console is a good idea. In order to set up this file, you will need to develop a file argument in your logging.basicConfig file. The sample code below can help you make these changes.
Running the script repeatedly will require you to append the file. Using a rotating file handler is the best way to manage this process. Here is some sample code you can use to handle this process. Passing a filemode argument to basicconfig to run this snippet.
LOG_FILENAME = ‘logging_rotatingfile_example.out’
# Set up a specific logger with our desired output level
my_logger = logging.getLogger(‘MyLogger’)
# Add the log message handler to the logger
handler = logging.handlers.RotatingFileHandler(
LOG_FILENAME, maxBytes=20, backupCount=5)
# Log some messages
for i in range(20):
my_logger.debug(‘i = %d’ % i)
# See what files are created
logfiles = glob.glob(‘%s*’ % LOG_FILENAME)
for filename in logfiles:
Once you have made these changes, all of the log messages will go to the sample log file you have created. This file should be stored in the working directory. However, if you want to send these files to a different director, you will need to provide a full file path to achieve this.
Reasons to Include Traceback Information in Your Log Messages
If you are looking for a way to make your log messages more detailed, then finding ways to include traceback information is crucial. This information will show you at which point your code stopped working. Adequately decoding this information can help you pinpoint problems and fix them in a hurry.
A traceback will include information about the exception name, the reason for the exception and the latest function calls that have failed. The more information you have about the problems your application or website has, the faster you can fix them.
Logging Libraries and Frameworks You Can Use
One of the main benefits that come with using Python is the ability to take advantage of the vast array of frameworks and libraries on the market. When using popular frameworks like Flask or Twisted, you need to understand how logging will be handled. Here are some of the most popular frameworks and what you need to know about how they log errors and exceptions.
If you are looking to convert logs in JSON using a parsing tool is probably a good idea. These parsing tools allow you to extract important data from these files. In order to adequately log in this framework, you will need to use a third-party library. LIbraries like python-json-logger provides you with a new formatter class. This formatter can be attached to any handler.
Logging in Django
Perhaps the most popular framework for web applications is known as Django. This framework uses the standard Python logging module. This means a hierarchy for the logs is predefined. Critical level messages are sent to the email address of the administrator. This means you will be able to find and fix critical errors in a timely manner.
The Power of Rollbar
If you are looking for a way to get notified in real-time regarding errors in your code, then using a program like Rollbar is a great idea. This program will group errors together based on the root cause. The notifications from this program can be set up to go to their email or other services if needed. Getting this real-time information is crucial when trying to keep your digital creation running efficiently.
Embracing the Power of Logging
The key to becoming a reputable and sought-after developer is creating error-free and highly-functional programs. While you will not be able to avoid coding errors altogether, you can find them with the help of error logs. Staying on top of these problems can help you keep your creations working flawlessly.