Python Logging — Saving Logs to a File & Sending Logs to an API
Get your logs to where they are needed to debug your code
Including logging into your Python app is essential for knowing what your program does and quick debugging. It allows you to solve an error as quickly and easily as possible. Your program can be logging out useful information but how can it notify you when something goes wrong? We cannot read the logs off the terminal in a crashed app!
This article shows you two ways of saving your logs using handlers. The first is the simplest; just writing all logs to a file using the FileHandler. The second uses a HttpHandler to send your logs to an HTTP endpoint (like an API).
Python logging for absolute beginners
Stop using print statements for debugging and switch to something more advanced
Let’s first understand the concept of using handlers when logging. As you might know, you can log a message by creating a logger and then calling one of the logging methods on that logger like below:
When we call the debug , info of error methods in the example above, our logger has to handle those logging calls. By default, it just prints the messages (with some meta-data as specified with the format in the basicConfig ) to the console.
In the parts below we add more handlers to the logger that do other things with the logs. Per handler, we can specify the level, fields, and formats as we’ll see below.