Logging
dictConfig
So far, we've been configuring loggers one by one. But for complex applications, you might prefer a more organised approach.
Using logging.config.dictConfig allows you to define a dictionary containing all your loggers configurations, including levels, handlers, and filters.
It's a powerful construct for managing your logging setup efficiently.
config_dict = {
"version": 1,
"formatters": {
"default": {
"format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
},
},
"handlers": {
"console": {
"class": "logging.StreamHandler",
"formatter": "default",
},
"file": {
"class": "logging.FileHandler",
"filename": "app.log",
"formatter": "default",
},
},
"loggers": {
"my_app": {
"level": "WARNING",
"handlers": ["file"],
"propagate": False,
},
"my_app.database": {
"level": "WARNING",
"handlers": ["console"],
},
},
}
logging.config.dictConfig(config_dict)
logger = logging.getLogger("my_app.database")
logger.warning("This is a warning message")
This will output:
$ python my_app.py
2021-08-15 15:00:00,000 - my_app.database - WARNING - This is a warning message
$ cat app.log
2021-08-15 15:00:00,000 - my_app.database - WARNING - This is a warning message