Hello, Is there a way to export Prefect flow definition to some config format like YAML, and then re-build the flow based on the same imported config?

Hi @Satheesh K -- there's actually a new feature that does this. https://github.com/PrefectHQ/prefect/pull/4317

Hi Micheal, Thanks for your response. Let me check. For reference, we want to do something like this https://donagh.io/configuring-airflow-dags-with-yaml/

Hi @Satheesh K! I’m curious: what sort of configuration would you want to configure it YAML that the Prefect Cloud/Server UI doesn’t cover? Are you migrating directly from Airflow? Is there a specific feature you’re looking for a 1:1 match for?

Okay, sorry if I sound dumb, I have recently discovered prefect, am not fully knowledgeable about Cloud UI. Our use-case is running multiple ML models and do some post-processing and consolidate at the end. something like below:

flow:
	task:
		name: run_detection_model
		inputs: [model1,model2,model3]
		output: [model1_dets,model2_dets,model3_det]

	task:
		name: do_something_with_model1_dets
		inputs: [model1_dets]
		output: [model1_dets_filtered]

....

You’ve come to the right place to ask questions!

We are already kind of following the first approach, keep all the common tasks in one place by subclassing Prefect Tasks. But this will lead us one

.py

file for each flow. I think we are looking more at something like having one file

decode_flow.py

to decode DAG definition written in yaml config etc. Here I have to mention all our tasks and flows are very much similar, but we also thinking about extensibility in future.

Anytime!