Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

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Is there a way for me to access the `tags` or `pipeline` argument passed in when executing `kedro run` from a terminal?

Update: in `pipeline_registry` where I wanted to access I can just run `sys.argv` to retrieve tags

Hi Marshall, could you give an example of how you're trying  to use these arguments?

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I've been trying to use them in order to govern which of two pipelines run. Both pipelines share most but not all subpipelines they run. The idea was to tag shared pipelines with both tags and unshared pipelines with their corresponding tag

But if I did for example `kedro run -t A` , I needed a way to filter out the DataPrep B subpipeline at registration time, because Kedro won't let you execute your pipeline if two subpipelines have identical outputs