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I am using find_pipelines() to generate databricks assets bundle resources. I am working on a template for asset bundles that uses Kedro for defining pipelines and dependencies and databricks workflows for scheduling. You can find the project here
Thanks for the suggesting bootstrap_project(). For now, I have been using configure_project(<package-name>) as used in databricks_run.py in the databricks-iris starter.
I have been thinking of making a cookiecutter for Kedro as well. Do you think there would be any interest in this?
I made the template based on my own experience of running large scale Databricks projects in production with many contributors of varying levels of experience.
Description
Error is thrown when trying to print
find_pipelines
from thekedro.framework.project
module.Context
Unable to use find_pipelines
Steps to Reproduce
print(find_pipelines())
to the bottom of thepipeline_regitry.py
filepython ./src/<project>/pipeline_regitry.py
Expected Result
A dict of pipelines.
Actual Result
I get the following error:
Your Environment
pip show kedro
orkedro -V
): kedro, version 0.19.5python -V
): Python 3.12.2 using rye as package managerThe text was updated successfully, but these errors were encountered: