PYTHON LOGGING

Logging the Exceptions:

It is highly recommended to store complete application flow and exceptions information to a file.

This process is called logging.

The main advantages of logging are:

We can use log files while performing debugging.

We can provide statistics like number of requests per day, etc.

To implement logging, Python provides one inbuilt module called logging.

Logging Levels:

Depending on the type of information, logging data is divided according to the following 6 levels in Python.

CRITICAL ==> 50

Represents a very serious problem that needs high attention.

ERROR ==> 40

Represents a serious error.

WARNING ==> 30

Represents a warning message, some caution needed.

It is an alert to the programmer.

INFO ==> 20

Represents a message with some important information.

DEBUG ==> 10

Represents a message with debugging information.

NOTSET ==> 0

Represents that the level is not set.