<@ULVA73B9P> is it possible to send logs created u...
# marvin-in-the-wild
m
@Marvin is it possible to send logs created using the default python logger from my flow running in ECS to the prefect cloud UI?
m
Python logger logs to Prefect Cloud UI, ECS??? Please specify Prefect version you are using?
m
3.0.1
@Marvin anything?
m
To log custom messages and send them to the Prefect Cloud UI from ECS, you can use Prefect's built-in logging capabilities. Here's a basic outline: 1. Prefect Logging Setup: - Prefect has built-in loggers that can send logs to the UI. Use
get_run_logger
to get a logger instance. - Example:
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python
    from prefect import flow, get_run_logger

    @flow
    def my_flow():
        logger = get_run_logger()
        <http://logger.info|logger.info>("This is a custom log message.")
2. ECS Configuration: - Ensure ECS tasks can send logs to AWS CloudWatch. - Set
stream_output
and
configure_cloudwatch_logs
to handle logs properly in ECS. 3. Connecting to Prefect Cloud: - Use the Prefect CLI to set your API URL and key.
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sh
    prefect config set PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"
    prefect config set PREFECT_API_KEY="[API-KEY]"
Useful Links: - Prefect 3.0 Logging - ECS Worker Guide - Connecting to Prefect Cloud For more specific errors, feel free to check these guides or provide version-specific details!
m
@Marvin my flow calls code that has its own loggers. is there a way prefect can capture those so that they are visible in the UI?
m
Yes, Prefect can capture logs from existing Python loggers to be visible in the Prefect Cloud UI. Here are key steps: 1. Configure the Root Logger: - Prefect automatically captures logs from the root logger of the Python logging module. Ensure your existing loggers propagate their logs to the root logger. - You might have to set the logger's propagate attribute to
True
. 2. Set Environment Variables: - Override the root logger's level and ensure it captures logs from other libraries.
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sh
    export PREFECT_LOGGING_ROOT_LEVEL="DEBUG"
3. Prefect Logger Configuration: - Customize Prefect’s logging configuration via environment variables or settings.
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sh
    PREFECT_LOGGING_[PATH]_[TO]_[KEY]=value
- Example to set log level for flows:
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sh
    prefect config set PREFECT_LOGGING_LOGGERS_PREFECT_FLOW_RUNS_LEVEL="DEBUG"
### Sample Code:
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python
import logging
from prefect import flow, get_run_logger

# Set up existing logger
existing_logger = logging.getLogger('my_existing_logger')
existing_logger.setLevel(logging.DEBUG)
existing_logger.propagate = True

@flow
def my_flow():
    logger = get_run_logger()
    <http://logger.info|logger.info>("This is a Prefect log message.")
    existing_logger.debug("This is a debug message from existing logger.")

my_flow()
### Resources to Check: - Prefect 2.x Logging Guide - Prefect 3.x Logging - Troubleshoot Prefect Cloud By ensuring your custom loggers propagate their logs to the root logger, Prefect will capture and show them in the UI.
m
this worked 🙏 thank you @Marvin!
m
Grug happy you happy! If more questions, Grug here. Happy logging! 🙏😄