How to calculate number of datasets used in merge recipe

shak99

Hi all,

Is it possible to determine how many datasets are being ingested by a stack recipe and then use that value later on in a prepare recipe?

Thanks!

---

Operating system used: Windows

Jurre

Hi @shak99
, welcome!

In a visual Stack-recipe an option is available to include an origin column, indicating the original dataset. See attached screenshot. -Hope this helps!

shak99

Thanks @Jurre
, I understand how to accomplish this visually however I would like to do this programmatically. Therefore, for instance, can I utilise a python recipe to determine how many datasets are being used as inputs for a 'stack' recipe?

edit: In the post I mentioned 'merge recipe' I in reality meant a 'stack recipe'

Jurre

Hi @shak99
,

I'm not that familiar with python to fully answer your question but possibly something with adding multiIndex keys would do the trick. However i strongly suggest that you wait a little for pythonista's to join the conversation here. Cheers, Jurre

JuanE

Hello @shak99

You can do this by leveraging the DSS Python API. Here’s a sample code snippet to get you started:

import dataiku

client = dataiku.api_client()
project = client.get_project("PROJECTKEY") # Select your Project accordingly
stack_recipe = project.get_recipe("the_stack_recipe_name") # Select your stack recipe accordingly
stack_recipe_settings = stack_recipe.get_settings()
number_of_inputs = len(stack_recipe_settings.get_recipe_inputs()['main']['items'])

I hope that helps.