Neuro Platform Logging
Usage:
import logging
from neuro_logging import init_logging
init_logging()
logging.info("Some info")
By default init_logging()
will forward all errors
and critical
messages to stderr
. All other type of messages will be forwarded to stdout
.
You can pass own dict-based config with custom setting i.e. for disable warning in asyncio and concurrent
from neuro_logging import DEFAULT_CONFIG, init_logging
custom_config = dict(DEFAULT_CONFIG)
custom_config.update(
{"loggers": {"asyncio": {"level": "ERROR"}, "concurrent": {"level": "ERROR"}}}
)
init_logging(custom_config)