Python best practice in terms of logging

Question

When using the logging module from python for logging purposes. Is it best-practice to define a logger for each class?

Considering some things would be redundant such as file log location, I was thinking of abstracting logging to its own class and import an instance into each of my classes requiring logging. However I'm not sure if this is best practice or not?

Answer 1

Use JSON or YAML logging configuration - After Python 2.7, you can load logging configuration from a dict. It means you can load the logging configuration from a JSON or YAML file.

Yaml Example -

version: 1
disable_existing_loggers: False
formatters:
    simple:
        format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"

handlers:
    console:
        class: logging.StreamHandler
        level: DEBUG
        formatter: simple
        stream: ext://sys.stdout

    info_file_handler:
        class: logging.handlers.RotatingFileHandler
        level: INFO            
        formatter: simple
        filename: info.log
        maxBytes: 10485760 # 10MB
        backupCount: 20
        encoding: utf8

    error_file_handler:
        class: logging.handlers.RotatingFileHandler
        level: ERROR            
        formatter: simple
        filename: errors.log
        maxBytes: 10485760 # 10MB
        backupCount: 20
        encoding: utf8

loggers:
    my_module:
        level: ERROR
        handlers: [console]
        propagate: no

root:
    level: INFO
    handlers: [console, info_file_handler, error_file_handler]

Ref - Good-logging-practice-in-python