Airflow 3.1.0 Advanced Logging and Log Suppression

[Dhunsheth]

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: /home/airflow/config/log_config.py

In my .env file to override default airflow variables I have set:
PYTHONPATH=/home/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"