GitHub user Dhunsheth created a discussion: Airflow 3.1.0 Advanced Logging and Log Supression
I have configured the Airflow backend db to a PostgreSQL database, connected my secrets backend, and have enabled remote logging to cloudwatch on AWS. In addition, I have monitoring enabled on the airflow logs and get an email via SNS anytime an error or warning is detected in the logs. **The Issue** In my airflow logs, there are warnings from loggers I don't care about that trigger an email (with a cost implication) that I am trying to suppress. There are also info level logs that repeatedly appear that I want to silence in production environments to minimize noise in the logs so problem resolution is easier. However, my implementation of the recommended approach is not suppressing the logs and I am still seeing the log examples below appear in cloudwatch and I'm not sure why. I can see the user-defined logging config is imported successfully for scheduler and triggerer. ` INFO - Detected user-defined logging config. Attempting to load log_config.LOGGING_CONFIG INFO - Successfully imported user-defined logging config. FastAPI App will serve log from /home/airflow ` **Example logs to be suppressed** "logger": "py.warnings", "event": "The `airflow.hooks.base.BaseHook` attribute is deprecated. Please use `'airflow.sdk.bases.hook.BaseHook'`.", "level": "warning" "logger": "botocore.credentials", "event": "Found credentials from IAM Role", "level": "info" "logger": "airflow.models.dagbag.DagBag", "event": "Filling up the DagBag from..." "level": "info" **Current solution that isn't working** Based on the Airflow advanced logging documentation: https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/advanced-logging-configuration.html I created a config directory under airflow so the project structure follows: /airflow/config/log_config.py In my .env file to override default airflow variables I have set: ` PYTHONPATH=/airflow/config AIRFLOW__LOGGING__LOGGING_CONFIG_CLASS=log_config.LOGGING_CONFIG ` My log_config.py file is as follows: ` from copy import deepcopy from pydantic.utils import deep_update from airflow.config_templates.airflow_local_settings import DEFAULT_LOGGING_CONFIG, REMOTE_TASK_LOG LOGGING_CONFIG = deep_update( deepcopy(DEFAULT_LOGGING_CONFIG), { "loggers": { "botocore.credentials": { "handlers": [], "level": "WARNING", "propagate": False }, "airflow.models.dagbag.DagBag": { "handlers": [], "level": "WARNING", "propagate": False }, "py.warnings": { "handlers": [], "level": "ERROR", "propagate": False } } } ) REMOTE_TASK_LOG = REMOTE_TASK_LOG ` **Environment Setup** I am running airflow 3.1.0 using python 3.12 and the following providers: "apache-airflow==3.1.0" \ "apache-airflow-providers-microsoft-mssql" \ "apache-airflow-providers-amazon" \ "flask_appbuilder" \ "psycopg2-binary" \ "asyncpg" \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-3.1.0/constraints-3.12.txt"; GitHub link: https://github.com/apache/airflow/discussions/56377 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
