@Marvin I have a flow with several tasks, each of which runs a docker container that produces a certain result. This is working fine but the logging from the container is reflected as equal print statements. I can read it later from a file but that's not real time and I don't want that. Is there any way to setup the prefect logger inside the container (maybe i need to pass run ID and other info so I can set it up correctly?). The idea being that as long as I have enough data from the flow and task, I can use that data to setup some context or runtime or something else inside the container, which is then used to setup the logger and correctly log data for a given task despite it being run inside of a container.

To set up Prefect logging inside a Docker container, you need to follow these steps: 1. Set the API URL in the container: Ensure the Prefect API URL is correctly set within the container. This can be done by running: prefect config set PREFECT_API_URL="http://127.0.0.1:4200/api" This sets up communication between the task in the Docker container and the Prefect server. 2. Enable logging for your flow: You can configure your flow to log print statements by using the

log_prints

parameter:

python
   from prefect import flow
   
   @flow(log_prints=True)  # This sends `print` statements as INFO logs
   def my_workflow():
       print("Logging from inside the Docker container")

3. Retrieve and stream logs: Prefect provides functionality to get logs similar to the

docker logs

command. Here's an abstracted approach based on provided excerpts:

python
   from prefect import flow, task
   import docker

   @task
   def run_container_with_runtime(ctx):
       client = docker.from_env()
       container = client.containers.run(
           image="your-docker-image",
           command="your-command",
           detach=True,
           environment={
               "PREFECT_API_URL": "your-prefect-api-url",
               "PREFECT_TASK_RUN_ID": ctx.task_run.id
           }
       )
       
       for log in container.logs(stream=True):
           print(log.strip().decode('utf-8'))  # or use any preferted logging approach

   @flow
   def my_flow():
       context = get_runtime_context()
       run_container_with_runtime(context)

   if __name__ == "__main__":
       my_flow()

Using these steps, you can ensure that the logs inside the Docker container are captured and appropriately sent to the Prefect server, thus allowing real-time logging. For more detailed information, refer to the Prefect documentation: - Prefect Docker Integration - Prefect AWS ECS Integration