dynamic-logger 1.0.0

Dynamic Logger Class for logging

DynamicLogger

DynamicLogger is an extension of logging.Logger to provide additional functionality to log "extra" values quickly and dynamically.

Installation

One Liner

python -m pip install dynamic_logger

Or if you prefer Manual Installation

git clone https://github.com/ajatkj/dynamic_logger.git
cd dynamic_logger
pip install .

Usage

import dynamic_logger
import logging
logging.setLoggerClass(dynamic_logger.Logger)

# Set-up log formatter with user-definied attributes
fmt = '[%(asctime)s] <%(app)s> [%(levelname)s] <%(id)s> <%(customer_id)s> --- %(message)s' # Note: format attributes in <> are user-definited

# Load config
logging.basicConfig(format=fmt, datefmt='%d-%b-%y %H:%M:%S', level='INFO')

applogger = logging.getLogger(__name__)

@applogger.log_extras('id',int=0,customer_id='obj.customer_id') # Log value of 'id' and 'obj.customer_id'
def example_1(id=0,id2=0,obj=None):
    applogger.info('This example shows how to log values from function arguments')

if __name__ = "__main__":
    example_1(id=123456,obj={"customer_id":777})

Above will produce log output as below for all logging calls from the function:

[2022-04-19 12:53:51,658] [INFO] <123456> <customer_id:777> --- This example shows how to log values from function arguments

dynamic_logger exposes 2 main API's

1. log_extras decorator
   log_extras() will log values dynamically from the decorated function
2. set_extras function
   set_extras() will log static values for all subsequent logger calls till you call the clear() function.

See more examples in example.py

Some Notes

1. To use with FastAPI, make sure log_extras() decorator is added after the path decorator of FastAPI.

Contribution

Always open to PRs :)