Python logging configuration library for MLCommons AIRR applications.
Project description
Modellogger
The modellogger package provides a standardized logging configuration for AIRR applications.
Usage
Install in a poetry project: poetry add git+https://github.com/mlcommons/modellogger.git
DefaultFormatter
A class that formats log messages with UTC timestamps and optional ANSI color codes for console output.
get_logger
A function that creates configured loggers with console and optional file output.
from modellogger.log_config import get_logger
logger = get_logger(__name__, app_name="modelrunner-api")
get_config_dict
Generates logging configuration dictionaries for use with logging.config.dictConfig. By default, the app name is derived from the package name, but that can be overridden.
This is particularly useful for FastAPI applications, which can adopt this logger by using something like:
run(app, host="0.0.0.0", port=port, log_config=get_config_dict(app_name="modelrunner-api"))
Example Output
2025-12-19T14:10:24Z - modelrunner-api - INFO - 127.0.0.1:36054 - "GET /health HTTP/1.1" 200
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