@Marvin How do I deploy a flow to a "process" work-pool using local files instead of an image/remote storage?

hi @analytics - sorry I think openai is having issues right now https://docs.prefect.io/3.0/resources/upgrade-agents-to-workers#deploying-from-a-local-file

Thank you! But when I use that method, I notice that my deployment parameters have both default and override - I only wanted to set default parameters, not have them for the override?

can you show what you mean? and ideally what your flow looks like?

So, I'm just talking about this override - I wanted to make sure that when I run a manual run that I can specify the parameters for that manual run without them getting overwritten due to this:

> when I run a manual run that I can specify the parameters for that manual run without them getting overwritten due to this ah i see,

override

just refers to overriding the default as specified by your flow function signature as in, if you have

@flow
def foo(x: int = 42): ...

foo.from_source(...).deploy(..., parameters=dict(x=43))

then if you just do quick run, this deployment of

foo

will override the default for the flow (ie x=42) and you'll end up with x=43 by default. but if you do Custom Run, then you can always select whichever custom param values you want for that run does that answer your question?

yes, thank you!