quick example on structured logging approaches for Python

structured_logging.py

#!/usr/bin/env python3

import logging

# setting up a JSON formatter for standard library
from pythonjsonlogger import jsonlogger

logger = logging.getLogger()

logHandler = logging.StreamHandler()
formatter = jsonlogger.JsonFormatter()
logHandler.setFormatter(formatter)
logger.addHandler(logHandler)
logger.setLevel(logging.DEBUG)


# structlug setup for nicer API
# structlog will use standard library logging under the hood
import structlog
structlog.configure(
    processors=[
        structlog.stdlib.filter_by_level,
        structlog.stdlib.add_logger_name,
        structlog.stdlib.add_log_level,
        structlog.stdlib.PositionalArgumentsFormatter(),
        structlog.processors.StackInfoRenderer(),
        structlog.processors.format_exc_info,
        structlog.processors.UnicodeDecoder(),
        structlog.stdlib.render_to_log_kwargs,
    ],
    context_class=dict,
    logger_factory=structlog.stdlib.LoggerFactory(),
    wrapper_class=structlog.stdlib.BoundLogger,
    cache_logger_on_first_use=True,
)



logger.info('standard call, foo: %s', 'bar')
logger.info('standard call with extra dict', extra={'foo': 'bar'})
structlog.get_logger('test').info('structlog call', foo='bar')