Hi guys, are you able to package a Kedro project to enable loading from the catalog in another application? My use case is that not only I have several datasets (stored in GCP), but also Kedro parameters that I would like to embed and reuse in a front-end application. If there is a way for me to package my project (along with the

conf

directory) so I can easily access parameters and datasets with

catalog.load

or the

ConfigLoader

class, instead of configuring my connection to GCP + recreate the parameters from the ground-up in the new application? Thanks in advance and keep up with the good work, this project is awesome!

In case you are using mlflow and want to reuse a machine learning pipeline, you can check https://github.com/Galileo-Galilei/kedro-mlflow-tutorial to get an example on how to do it with a custom mlflow model

Hey Manoel, in addition to what Yolan said, just the regular

kedro package

command will create a

dist/

folder with the

.whl

file as well as the

conf-<project_name>.tar.gz

which is your compressed configuration (not the

local

) Kedro accepts a

.tar.gz

file as the

conf_source

You can run the project with

kedro run --conf-source <compressed_file_path>

Hi Ankita, thanks for your tips! Either with MLFlow, Kedro Boot or the

.tar.gz

file for the

conf

folder, all three seem to enable Kedro usage by running pipelines from another application, am I right? My case would be much simpler, because it encompasses only reading datasets and parameters from the

catalog.yml

and

parameters.yml

files, I suppose this is not supported by any of these solutions?