merlin
03/17/2025, 5:23 PMMarvin
03/17/2025, 5:23 PMPREFECT_LOGGING_ROOT_LEVEL
to DEBUG
. This will configure the root logger to output debug level logs.
2. Configuration File: You can create a logging.yml
file in your PREFECT_HOME
directory (default is ~/.prefect
) or specify a custom path using the PREFECT_LOGGING_SETTINGS_PATH
setting. In this file, you can define the logging configuration, including setting the level to DEBUG
.
3. Using Prefect's Logger: Within your flow, you can use Prefect's get_run_logger()
to obtain a logger that is aware of the current flow or task run context. This allows for more detailed and contextual logging.
Here is a basic example of using get_run_logger()
in a flow:
python
from prefect import flow
from prefect.logging import get_run_logger
@flow
def my_flow():
logger = get_run_logger()
logger.debug("This is a debug message")
my_flow()
For more detailed information about logging configuration, you can refer to the Prefect Logging Documentation.merlin
03/17/2025, 5:25 PMlogger.debug()
. What I want to do is set the logging level to DEBUG using the python SDK, so that all debug messages will be sent to the logger in a particular flow.Marvin
03/17/2025, 5:25 PMDEBUG
for a specific flow using the Prefect Python SDK, you can use the get_run_logger()
function to obtain the logger and then set its level. Here's how you can do it:
python
from prefect import flow
from prefect.logging import get_run_logger
import logging
@flow
def my_flow():
logger = get_run_logger()
logger.setLevel(logging.DEBUG) # Set the logging level to DEBUG
logger.debug("This is a debug message")
my_flow()
This code snippet sets the logging level to DEBUG
for the logger obtained in the flow, ensuring that all debug messages are captured during the flow execution.