Hi guys, our team is wondering is it possible to have collapsible pipelines in Kedro viz, without applying namespace to every dataset corresponding to that pipeline? Sometimes it seems to over-complicate things, if your only use case is to have a nice, collapsible look 🙂 Thanks in advance Filip

so the short answer is no - but would love to hear your feedback on how it compliments things, it’s something I’m keen to improve the UX of

collapsible pipelines in Kedro viz,

What do you mean by that?

Isn’t the use of

pipeline()

within

pipeline()

enough for that?

the

namespace

argument is required IIRC

Hi! Thanks for the quick replay. The story is short. We often have pipelines that are composed of several nodes. When doing presentations, hiding such multiple steps and showing only one general block to focus on a high-level view is often desirable. Unfortunately, in creating a namespace, we need to include a whole section of mapping inputs or parameters in the pipeline definition, which is tedious, if you need only a collapsible tile in the UI. But after all - the functionality is excellent, and this is only a minor inconvenience 🙂

I think that’s valid, I find the experience of doing so too fiddly myself

No worries. After all, Kedro & Kedro-Viz are absolutely cool even at this point.Thanks a lot!

This is a very valid problem I think. Basically I think using namespaces to do this collapsible grouping is the right thing to do - the problem is that it’s awkward to do that if all you want the namespace for is to make something collapsible in kedro viz. There’s two things we could do that might make this easier in the future: • some special value

ALL

that “freezes” all dataset names in the call to pipeline, e.g.

pipeline(inputs=ALL, outputs=ALL, namespace="blah")

• making the catalog hierarchical in the same way parameters are, so that to add a namespace

blah

to a group of dataset names you don’t need to manually prepend

blah.

to each of them but instead make a top-level key

blah

and then indent all the datasets with that namespace underneath it