How to Customize the time format for Python logging?
For a quick fix, tweak your Python logging time format by adjusting the datefmt
property in the Formatter. Use this handy code to set up a logger that generates messages stamped with a customized timestamp:
Just switch up time_format
with the strftime directive you prefer, and watch as your log records get a face lift. This setup ensures every log entry time-travels to a specific date and time.
Swift Logging Configuration
Keeping things quick and clean, the logging.basicConfig
function can be used with the datefmt
parameter, setting a uniform time format for your logs:
This is a shortcut to glory when your logging configuration is simple, and you're looking for a mass effect.
Playing with fileConfig
When you're dealing with a heavier workload, multiple loggers, and a variation of handlers, it's easier and neater to define your time formats within a configuration file. It keeps your code uncluttered and manageable:
This way, you can reference the formatter that suits you best in your loggers' configurations.
Time Elements Tailor-made
With strftime directives like %Y
for the year, %m
for the month, %d
for the day, %H
for the 24-hour, and %I
for the 12-hour format, you’re the master of time.
Millisec? Nah!
Lost in milliseconds (%f
) that you'd love to get rid off? Simply drop %f
from your datefmt
string, and you're home free!
Flexi-time with Dynamic Formatters
Creating custom formatters on-the-go allows you to assign different timestamps to different handlers or loggers. This makes sense when you're dealing with diverse formats within the same application.
Now the level of details in your logs don't have to be uniform everywhere. You have the power to direct.
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