@Marvin How can I replicate this action

logging.getlLogger('sqlalchemy.engine').setLevel(logging.ERROR)

in all prefect flows I deploy with

main.py

? Using this line in main.py doesn’t change anything for me

To address your inquiry about setting a specific logging level for SQLAlchemy in Prefect flows, let's first determine the Prefect version you are using. This is important because Prefect 2.x and 3.x might handle logging differently. Could you please share which version you are using, or let me check it for you if there's a way for me to do so? Once I confirm your version, I can perform targeted searches in the documentation to provide the most relevant guidance.

Prefect 2.x

In Prefect 2.x, you can configure logging levels, including for external libraries like SQLAlchemy, directly in your flow's deployment setup. Here are steps you can follow to ensure your logging levels are set appropriately: 1. Environment Variable Configuration: You can set environment variables to configure your logging levels for all Prefect flows. Use the

PREFECT_LOGGING_[PATH]_[TO]_[KEY]

syntax to set logging levels. For example, setting

PREFECT_LOGGING_SQLALCHEMY_ENGINE_LEVEL="ERROR"

would configure the SQLAlchemy engine logger to display only error messages. 2. Root Logger Configuration: Configure the root logger to manage logs from all sources. This can be done by setting the root logger's configuration in a

logging.yml

file. You can specify the file location using the

PREFECT_LOGGING_SETTINGS_PATH

environment variable. 3. Flow-Level Configuration: In your

main.py

or the flow where you manage deployment, ensure that you set the logger level using Python logging configuration at the start. Example code to include in `main.py`:

python
import logging
from prefect import flow, get_run_logger

# Set SQLAlchemy logging level
logging.getLogger('sqlalchemy.engine').setLevel(logging.ERROR)

@flow
def main_flow():
    logger = get_run_logger()
    <http://logger.info|logger.info>("This is the main flow.")
    # Your flow logic here

if __name__ == "__main__":
    main_flow()

To ensure these configurations take effect across all deployed flows, deploy the flow with the above setup incorporating logging configurations. For further details on logging configurations, you can check the Prefect documentation: - Logging Guide: https://docs-2.prefect.io/latest/guides/logs/ - SQLAlchemy Credentials Guide: https://docs-2.prefect.io/latest/integrations/prefect-sqlalchemy/credentials/ These setups help you consistently manage logging levels across deployments without manually configuring each deployment individually.