Pretty much the same as carlcarl/python_logging_dict_config, but doesn't rely on eval().

logging-config.json

{
    "version": 1,
    "disable_existing_loggers": true,
    "filters": {
        "my_filter": {
            "()": "filters.MyFilter"
        }
    },
    "formatters": {
        "debug": {
            "format": "[%(levelname)s][%(asctime)s](%(funcName)s/%(lineno)d) %(message)s",
            "datefmt": "%Y-%m-%d %H:%M:%S"
        },
        "simple": {
            "format": "[%(levelname)s][%(asctime)s] %(message)s",
            "datefmt": "%Y-%m-%d %H:%M:%S"
        }
    },
    "handlers": {
        "console": {
            "level": "DEBUG",
            "class": "logging.StreamHandler",
            "formatter": "simple"
        },
        "file": {
            "level": "DEBUG",
            "class": "logging.handlers.RotatingFileHandler",
            "filename": "test.log",
            "formatter": "simple",
            "maxBytes": 10485760,
            "backupCount": 100
        }
    },
    "loggers": {
        "my_app": {
            "handlers": [
                "console",
                "file"
            ],
            "filters": [
                "my_filter"
            ],
            "level": "INFO",
            "propagate": false
        }
    }
}

main.py

#!/usr/bin/env python
#
# ref: https://github.com/carlcarl/python_logging_dict_config/blob/a2c3790d7d5a91b5cfaa55135c4b9a54d6e24101/main.py
#
# Filters in JSON:
#  http://stackoverflow.com/a/21464327/49489
#
import json
from logging.config import dictConfig


dictConfig(json.load(file('logging-config.json')))